ATP Tennis predictions Tue, Nov 10
Win probabilities, expected games and total games for every ATP match. Methodology →
7 tour-level matches on this slate · 135–88 since Oct 20 (model V4) →
69 Challenger matches · Challenger: 200–129 since Oct 27 (model V4) →
Games
Stockholm
#91
Cerundolo
#21
Michelsen
Biggest factor: Serve edge · Michelsen
#101
Mannarino
Biggest factor: Return edge · Mannarino
#41
Halys
#81
Sonego
Biggest factor: Serve edge · Halys
#60
Tirante
#53
Etcheverry
Biggest factor: Serve edge · Etcheverry
#102
Kecmanovic
#35
Rinderknech
Biggest factor: Serve edge · Rinderknech
#38
Bergs
Rune
Biggest factor: Serve edge · Rune
#72
Samuel
#18
Musetti
Biggest factor: Serve edge · Musetti
ATP Challenger 69 matches
Brisbane 4 Challenger
#259
Sweeny
Biggest factor: Return edge · Sweeny
Biggest factor: Serve edge · Fancutt
#132
O'Connell
Biggest factor: Return edge · O'Connell
#267
Suresh
Biggest factor: Serve edge · Suresh
Biggest factor: Serve edge · Holmgren
#175
Schoolkate
Biggest factor: Serve edge · Schoolkate
#195
Bolt
Biggest factor: Serve edge · Bolt
Hersonissos 5 Challenger
Biggest factor: Return edge · Xilas
#250
Nagal
#493
Bennani
Biggest factor: Return edge · Nagal
#285
Gill
Biggest factor: Serve edge · Gill
#310
Maestrelli
Biggest factor: Return edge · Loge
#256
Bertola
Biggest factor: Serve edge · Bertola
#322
Brancaccio
Biggest factor: Return edge · Brancaccio
#262
Cretu
Tsitsipas
Biggest factor: Return edge · Cretu
#347
Bailly
#271
Henning
Biggest factor: Serve edge · Henning
Biggest factor: Return edge · Ribecai
Knoxville Challenger
Biggest factor: Return edge · Kimhi
#218
Blanch
Biggest factor: Serve edge · Blanch
Biggest factor: Return edge · Legout
#228
Cassone
Biggest factor: Serve edge · Cassone
#88
Tarvet
Biggest factor: Serve edge · Tarvet
#161
Mmoh
#194
Mayo
Biggest factor: Return edge · Mmoh
#236
Galarneau
Biggest factor: Return edge · Kozlov
Biggest factor: Return edge · Andrade
#94
Zheng
Biggest factor: Serve edge · Zheng
#239
Wendelken
#297
Shelbayh
Biggest factor: Return edge · Wendelken
Lima 3 Challenger
#247
Midon
Biggest factor: Return edge · Midon
Biggest factor: Serve edge · Rincon
Biggest factor: Serve edge · Roca Batalla
#130
Jarry
Sanchez Izquierdo
Biggest factor: Serve edge · Jarry
#241
Misolic
Biggest factor: Return edge · Misolic
#121
Comesana
#180
Cecchinato
Biggest factor: Return edge · Comesana
#232
Moller
Biggest factor: Return edge · Moller
Matsuyama Challenger
Jorda Sanchis
Biggest factor: Serve edge · Jorda Sanchis
#224
Tseng
Biggest factor: Return edge · Tseng
#326
Poljicak
Biggest factor: Return edge · Poljicak
Biggest factor: Serve edge · Milic
#116
Sakamoto
Biggest factor: Serve edge · Sakamoto
Biggest factor: Return edge · McDonald
Biggest factor: Return edge · Shimizu
#174
Daniel
#153
Watanuki
Biggest factor: Return edge · Watanuki
#244
Zhou
Biggest factor: Serve edge · Zhou
Biggest factor: Serve edge · Schoenhaus
Biggest factor: Serve edge · Noguchi
Monastir Challenger
Biggest factor: Serve edge · Forejtek
Biggest factor: Return edge · Coulibaly
Biggest factor: Serve edge · Vives Marcos
#549
Ouakaa
Biggest factor: Serve edge · Echeverria
Janvier
Biggest factor: Return edge · Clarke
#341
Echargui
#337
Ajdukovic
Biggest factor: Return edge · Ajdukovic
Biggest factor: Return edge · Cadenasso
Biggest factor: Return edge · Moeller
#218
Blanch
Biggest factor: Serve edge · Blanch
Biggest factor: Return edge · Giustino
Biggest factor: Serve edge · Debru
Orleans Challenger
#206
Sachko
#97
Svrcina
Biggest factor: Return edge · Svrcina
#46
Prizmic
#120
Virtanen
Biggest factor: Return edge · Prizmic
#67
Bellucci
Biggest factor: Serve edge · Bellucci
#136
Lajovic
Biggest factor: Return edge · Lajovic
#117
Altmaier
Biggest factor: Serve edge · Altmaier
#248
Glinka
#128
Baez
Biggest factor: Return edge · Baez
#185
Nardi
#178
Piros
Biggest factor: Serve edge · Nardi
#307
Hemery
#199
Mochizuki
Biggest factor: Return edge · Mochizuki
#186
Herbert
#89
Basavareddy
Biggest factor: Return edge · Basavareddy
#119
Jacquet
#289
Grenier
Biggest factor: Serve edge · Jacquet
How we got this
Model vs market
- Model
- 50.9%
- First line
- –
- Latest
- 59.1%
Decimal odds 1.57 / 2.27, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Broska | Overbeck | |
|---|---|---|
| Serve pts won, hard% | 60.1248th of 475 | 60.7219th of 475 |
| Return pts won, hard% | 30.2389th of 475 | 29.8402nd of 475 |
| Hard rating% pts vs avg | 45.14315th of 475 | 45.26307th of 475 |
| All-surface rating% pts vs avg | 45.37324th of 570 | 44.85359th of 570 |
| Wins, last 10 | 4 | 2 |
| Matches, 12 months | 23 | 31 |
| Matches rated | 50 | 36 |
Serve and return
| Broska | Overbeck | |
|---|---|---|
| Serve pts wonthis match, hard | 65.9% | 66.1% |
| Return pts won | 33.9% | 34.1% |
| Hold servechance to win a service game | 84.4% | 84.7% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setOverbeck 51%from both hold chances
- Match, set by setOverbeck 51%set by set, before calibration; published 51% after tempering toward 50%
Conditions
- Days since last event Not in the modelOverbeck 8, Broska 29counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 80.4%
- First line
- –
- Latest
- 67.1%
Decimal odds 1.39 / 2.84, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Shepp | Sweeny | |
|---|---|---|
| Serve pts won, hard% | 55.7 | 58.4324th of 475 |
| Return pts won, hard% | 29.3 | 34.6136th of 475 |
| Hard rating% pts vs avg | 42.54 | 46.51244th of 475 |
| All-surface rating% pts vs avg | 42.35 | 46.47259th of 570 |
| Wins, last 10 | 1 | 4 |
| Matches, 12 months | 5 | 57 |
| Matches rated | 11 | 208 |
Serve and return
| Shepp | Sweeny | |
|---|---|---|
| Serve pts wonthis match, hard | 56.7% | 64.8% |
| Return pts won | 35.2% | 43.3% |
| Hold servechance to win a service game | 66.3% | 82.7% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setSweeny 76%from both hold chances
- Match, set by setSweeny 85%set by set, before calibration; published 80% after tempering toward 50%
Conditions
- Days since last event Not in the modelSweeny 29, Shepp 78counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 90.7%
- First line
- –
- Latest
- 77.8%
Decimal odds 4.18 / 1.19, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Midon | Huertas Del Pino | |
|---|---|---|
| Serve pts won, clay% | 57.8262nd of 402 | 54.1 |
| Return pts won, clay% | 36.675th of 402 | 28.7 |
| Clay rating% pts vs avg | 47.21184th of 402 | 41.43 |
| All-surface rating% pts vs avg | 46.61247th of 570 | 40.87 |
| Wins, last 10 | 7 | – |
| Matches, 12 months | 63 | – |
| Matches rated | 159 | 123 |
Serve and return
| Midon | Huertas Del Pino | |
|---|---|---|
| Serve pts wonthis match, clay | 66.1% | 53.7% |
| Return pts won | 46.3% | 33.9% |
| Hold servechance to win a service game | 84.7% | 59.3% |
What moves this game
- SurfaceClayratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setMidon 86%from both hold chances
- Match, set by setMidon 94%set by set, before calibration; published 91% after tempering toward 50%
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 65.7%
- First line
- –
- Latest
- 76.9%
Decimal odds 4.03 / 1.21, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Jorda Sanchis | Nakagawa | |
|---|---|---|
| Serve pts won, hard% | 59.4 | 54.3 |
| Return pts won, hard% | 30.2 | 30.4 |
| Hard rating% pts vs avg | 44.79 | 42.34 |
| All-surface rating% pts vs avg | 45.34 | 41.97 |
| Wins, last 10 | – | 3 |
| Matches, 12 months | – | 8 |
| Matches rated | 192 | 18 |
Serve and return
| Jorda Sanchis | Nakagawa | |
|---|---|---|
| Serve pts wonthis match, hard | 63.6% | 59.6% |
| Return pts won | 40.4% | 36.4% |
| Hold servechance to win a service game | 80.5% | 72.8% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setJorda Sanchis 63%from both hold chances
- Match, set by setJorda Sanchis 69%set by set, before calibration; published 66% after tempering toward 50%
Conditions
- Days since last event Not in the modelNakagawa 106, Jorda Sanchis 36counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 65.8%
- First line
- –
- Latest
- 71.8%
Decimal odds 3.28 / 1.29, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Tseng | Honda | |
|---|---|---|
| Serve pts won, hard% | 59.7264th of 475 | 58.0345th of 475 |
| Return pts won, hard% | 33.4205th of 475 | 31.4326th of 475 |
| Hard rating% pts vs avg | 46.54240th of 475 | 44.72342nd of 475 |
| All-surface rating% pts vs avg | 46.93224th of 570 | 44.33399th of 570 |
| Wins, last 10 | 6 | 5 |
| Matches, 12 months | 51 | 16 |
| Matches rated | 395 | 39 |
Serve and return
| Tseng | Honda | |
|---|---|---|
| Serve pts wonthis match, hard | 64.0% | 60.1% |
| Return pts won | 39.9% | 36.0% |
| Hold servechance to win a service game | 81.3% | 73.8% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setTseng 63%from both hold chances
- Match, set by setTseng 69%set by set, before calibration; published 66% after tempering toward 50%
Conditions
- Days since last event Not in the modelHonda 15, Tseng 8counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 74.5%
- First line
- –
- Latest
- 63.6%
Decimal odds 1.47 / 2.57, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Uchida | Poljicak | |
|---|---|---|
| Serve pts won, hard% | 57.7 | 59.5272nd of 475 |
| Return pts won, hard% | 27.3 | 30.2384th of 475 |
| Hard rating% pts vs avg | 42.47 | 44.87334th of 475 |
| All-surface rating% pts vs avg | 42.00 | 45.34326th of 570 |
| Wins, last 10 | – | 2 |
| Matches, 12 months | – | 29 |
| Matches rated | 415 | 115 |
Serve and return
| Uchida | Poljicak | |
|---|---|---|
| Serve pts wonthis match, hard | 62.0% | 68.6% |
| Return pts won | 31.4% | 38.0% |
| Hold servechance to win a service game | 77.6% | 88.3% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setPoljicak 71%from both hold chances
- Match, set by setPoljicak 79%set by set, before calibration; published 75% after tempering toward 50%
Conditions
- AgePoljicak 22.3, Uchida 32.2small age adjustment to serve
- Surface switchPoljicak from claygames projection only, not the win chance
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 62.5%
- First line
- –
- Latest
- 55.9%
Decimal odds 2.12 / 1.67, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Milic | Shiraishi | |
|---|---|---|
| Serve pts won, hard% | 56.8390th of 475 | 54.8443rd of 475 |
| Return pts won, hard% | 30.7367th of 475 | 29.6407th of 475 |
| Hard rating% pts vs avg | 43.75396th of 475 | 42.22444th of 475 |
| All-surface rating% pts vs avg | 43.15472nd of 570 | 41.98517th of 570 |
| Wins, last 10 | 3 | 3 |
| Matches, 12 months | 29 | 16 |
| Matches rated | 29 | 43 |
Serve and return
| Milic | Shiraishi | |
|---|---|---|
| Serve pts wonthis match, hard | 62.7% | 59.6% |
| Return pts won | 40.4% | 37.3% |
| Hold servechance to win a service game | 78.8% | 72.7% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setMilic 60%from both hold chances
- Match, set by setMilic 65%set by set, before calibration; published 62% after tempering toward 50%
Conditions
- Days since last event Not in the modelShiraishi 57, Milic 15counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 62.9%
- First line
- –
- Latest
- 22.3%
Decimal odds 1.20 / 4.17, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Fancutt | Dellavedova | |
|---|---|---|
| Serve pts won, hard% | 57.7 | 53.3464th of 475 |
| Return pts won, hard% | 28.0 | 28.3443rd of 475 |
| Hard rating% pts vs avg | 42.84 | 40.80466th of 475 |
| All-surface rating% pts vs avg | 42.56 | 40.59550th of 570 |
| Wins, last 10 | 1 | 3 |
| Matches, 12 months | 5 | 21 |
| Matches rated | 114 | 99 |
Serve and return
| Fancutt | Dellavedova | |
|---|---|---|
| Serve pts wonthis match, hard | 64.1% | 60.9% |
| Return pts won | 39.1% | 35.9% |
| Hold servechance to win a service game | 81.4% | 75.4% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setFancutt 61%from both hold chances
- Match, set by setFancutt 66%set by set, before calibration; published 63% after tempering toward 50%
Conditions
- Days since last event Not in the modelDellavedova 42, Fancutt 57counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 87.0%
- First line
- –
- Latest
- 85.3%
Decimal odds 6.39 / 1.10, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| O'Connell | Bouzige | |
|---|---|---|
| Serve pts won, hard% | 63.5109th of 475 | 57.9351st of 475 |
| Return pts won, hard% | 34.4154th of 475 | 27.9451st of 475 |
| Hard rating% pts vs avg | 48.91116th of 475 | 42.90429th of 475 |
| All-surface rating% pts vs avg | 48.64132nd of 570 | 42.69492nd of 570 |
| Wins, last 10 | 6 | 2 |
| Matches, 12 months | 33 | 15 |
| Matches rated | 459 | 78 |
Serve and return
| O'Connell | Bouzige | |
|---|---|---|
| Serve pts wonthis match, hard | 70.1% | 59.1% |
| Return pts won | 40.9% | 29.9% |
| Hold servechance to win a service game | 90.2% | 71.6% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setO'Connell 82%from both hold chances
- Match, set by setO'Connell 91%set by set, before calibration; published 87% after tempering toward 50%
Conditions
- Days since last event Not in the modelBouzige 57, O'Connell 82counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 84.0%
- First line
- –
- Latest
- 83.0%
Decimal odds 1.13 / 5.50, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Tokuda | Sakamoto | |
|---|---|---|
| Serve pts won, hard% | 58.3330th of 475 | 65.358th of 475 |
| Return pts won, hard% | 31.6314th of 475 | 33.3217th of 475 |
| Hard rating% pts vs avg | 44.97330th of 475 | 49.3197th of 475 |
| All-surface rating% pts vs avg | 44.75368th of 570 | 49.01116th of 570 |
| Wins, last 10 | 3 | 5 |
| Matches, 12 months | 13 | 64 |
| Matches rated | 122 | 145 |
Serve and return
| Tokuda | Sakamoto | |
|---|---|---|
| Serve pts wonthis match, hard | 60.6% | 70.4% |
| Return pts won | 29.6% | 39.4% |
| Hold servechance to win a service game | 74.7% | 90.6% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setSakamoto 79%from both hold chances
- Match, set by setSakamoto 89%set by set, before calibration; published 84% after tempering toward 50%
Conditions
- Days since last event Not in the modelSakamoto 15, Tokuda 190counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 50.6%
- First line
- –
- Latest
- 67.1%
Decimal odds 2.84 / 1.39, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Sun | Imai | |
|---|---|---|
| Serve pts won, hard% | 59.0293rd of 475 | 58.7 |
| Return pts won, hard% | 31.6317th of 475 | 31.2 |
| Hard rating% pts vs avg | 45.32305th of 475 | 44.95 |
| All-surface rating% pts vs avg | 44.96353rd of 570 | 44.66 |
| Wins, last 10 | 3 | 6 |
| Matches, 12 months | 54 | 3 |
| Matches rated | 206 | 86 |
Serve and return
| Sun | Imai | |
|---|---|---|
| Serve pts wonthis match, hard | 62.7% | 62.6% |
| Return pts won | 37.4% | 37.3% |
| Hold servechance to win a service game | 79.0% | 78.7% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setSun 51%from both hold chances
- Match, set by setSun 51%set by set, before calibration; published 51% after tempering toward 50%
Conditions
- Days since last event Not in the modelImai 15, Sun 15counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 53.5%
- First line
- –
- Latest
- 53.1%
Decimal odds 1.75 / 1.98, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Matsuda | McDonald | |
|---|---|---|
| Serve pts won, hard% | 56.3403rd of 475 | 55.2 |
| Return pts won, hard% | 29.5413th of 475 | 30.0 |
| Hard rating% pts vs avg | 42.91427th of 475 | 42.61 |
| All-surface rating% pts vs avg | 42.60499th of 570 | 42.75490th of 570 |
| Wins, last 10 | 3 | 3 |
| Matches, 12 months | 24 | 22 |
| Matches rated | 48 | 33 |
Serve and return
| Matsuda | McDonald | |
|---|---|---|
| Serve pts wonthis match, hard | 61.9% | 62.7% |
| Return pts won | 37.3% | 38.1% |
| Hold servechance to win a service game | 77.4% | 79.0% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setMcDonald 53%from both hold chances
- Match, set by setMcDonald 54%set by set, before calibration; published 54% after tempering toward 50%
Conditions
- Days since last event Not in the modelMcDonald 71, Matsuda 15counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 61.1%
- First line
- –
- Latest
- 65.0%
Decimal odds 2.66 / 1.43, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Shimizu | Samrej | |
|---|---|---|
| Serve pts won, hard% | 59.4 | 58.9297th of 475 |
| Return pts won, hard% | 32.9 | 30.3381st of 475 |
| Hard rating% pts vs avg | 46.12 | 44.58349th of 475 |
| All-surface rating% pts vs avg | 45.94 | 44.38393rd of 570 |
| Wins, last 10 | – | 5 |
| Matches, 12 months | – | 31 |
| Matches rated | 257 | 104 |
Serve and return
| Shimizu | Samrej | |
|---|---|---|
| Serve pts wonthis match, hard | 64.5% | 61.7% |
| Return pts won | 38.3% | 35.5% |
| Hold servechance to win a service game | 82.2% | 77.1% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setShimizu 59%from both hold chances
- Match, set by setShimizu 64%set by set, before calibration; published 61% after tempering toward 50%
Conditions
- AgeSamrej 25.8, Shimizu 27.4small age adjustment to serve
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 50.4%
- First line
- –
- Latest
- 57.7%
Decimal odds 2.20 / 1.61, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Santillan | Aguiard | |
|---|---|---|
| Serve pts won, hard% | 58.9 | 58.4323rd of 475 |
| Return pts won, hard% | 30.2 | 30.2388th of 475 |
| Hard rating% pts vs avg | 44.59 | 44.30365th of 475 |
| All-surface rating% pts vs avg | 44.36 | 44.02415th of 570 |
| Wins, last 10 | – | 7 |
| Matches, 12 months | – | 15 |
| Matches rated | 334 | 23 |
Serve and return
| Santillan | Aguiard | |
|---|---|---|
| Serve pts wonthis match, hard | 63.9% | 63.8% |
| Return pts won | 36.2% | 36.1% |
| Hold servechance to win a service game | 81.0% | 80.8% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setSantillan 50%from both hold chances
- Match, set by setSantillan 51%set by set, before calibration; published 50% after tempering toward 50%
Conditions
- Days since last event Not in the modelAguiard 57, Santillan 15counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 63.6%
- First line
- –
- Latest
- 51.1%
Decimal odds 1.90 / 1.82, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Suresh | Jasika | |
|---|---|---|
| Serve pts won, hard% | 63.898th of 475 | 57.5368th of 475 |
| Return pts won, hard% | 29.3416th of 475 | 32.7245th of 475 |
| Hard rating% pts vs avg | 46.57238th of 475 | 45.10320th of 475 |
| All-surface rating% pts vs avg | 46.35267th of 570 | 44.79365th of 570 |
| Wins, last 10 | 6 | 6 |
| Matches, 12 months | 14 | 31 |
| Matches rated | 50 | 277 |
Serve and return
| Suresh | Jasika | |
|---|---|---|
| Serve pts wonthis match, hard | 66.7% | 63.2% |
| Return pts won | 36.8% | 33.3% |
| Hold servechance to win a service game | 85.6% | 79.9% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setSuresh 61%from both hold chances
- Match, set by setSuresh 67%set by set, before calibration; published 64% after tempering toward 50%
Conditions
- AgeJasika 29.5, Suresh 26.6small age adjustment to serve
- Days since last event Not in the modelJasika 8, Suresh 76counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 61.9%
- First line
- –
- Latest
- 57.2%
Decimal odds 1.63 / 2.18, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Daniel | Watanuki | |
|---|---|---|
| Serve pts won, hard% | 61.9168th of 475 | 62.1156th of 475 |
| Return pts won, hard% | 33.1229th of 475 | 34.9125th of 475 |
| Hard rating% pts vs avg | 47.49179th of 475 | 48.51138th of 475 |
| All-surface rating% pts vs avg | 47.72174th of 570 | 48.19153rd of 570 |
| Wins, last 10 | 6 | 7 |
| Matches, 12 months | 44 | 30 |
| Matches rated | 798 | 376 |
Serve and return
| Daniel | Watanuki | |
|---|---|---|
| Serve pts wonthis match, hard | 61.3% | 64.3% |
| Return pts won | 35.7% | 38.7% |
| Hold servechance to win a service game | 76.2% | 81.7% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setWatanuki 60%from both hold chances
- Match, set by setWatanuki 65%set by set, before calibration; published 62% after tempering toward 50%
Conditions
- AgeWatanuki 28.6, Daniel 33.8small age adjustment to serve
- Days since last event Not in the modelWatanuki 8, Daniel 15counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 85.5%
- First line
- –
- Latest
- 74.6%
Decimal odds 3.68 / 1.25, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Zhou | Kumasaka | |
|---|---|---|
| Serve pts won, hard% | 62.6134th of 475 | 53.8458th of 475 |
| Return pts won, hard% | 31.3337th of 475 | 30.8362nd of 475 |
| Hard rating% pts vs avg | 46.95216th of 475 | 42.31440th of 475 |
| All-surface rating% pts vs avg | 46.66244th of 570 | 42.02516th of 570 |
| Wins, last 10 | 6 | 1 |
| Matches, 12 months | 42 | 19 |
| Matches rated | 117 | 55 |
Serve and return
| Zhou | Kumasaka | |
|---|---|---|
| Serve pts wonthis match, hard | 68.3% | 58.0% |
| Return pts won | 42.0% | 31.7% |
| Hold servechance to win a service game | 87.9% | 69.3% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setZhou 80%from both hold chances
- Match, set by setZhou 90%set by set, before calibration; published 85% after tempering toward 50%
Conditions
- Days since last event Not in the modelKumasaka 92, Zhou 15counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 87.8%
- First line
- –
- Latest
- 80.2%
Decimal odds 4.71 / 1.16, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Schoenhaus | Matsuda | |
|---|---|---|
| Serve pts won, hard% | 61.6184th of 475 | 54.8442nd of 475 |
| Return pts won, hard% | 31.5322nd of 475 | 28.3441st of 475 |
| Hard rating% pts vs avg | 46.58236th of 475 | 41.58460th of 475 |
| All-surface rating% pts vs avg | 46.69240th of 570 | 41.27537th of 570 |
| Wins, last 10 | 3 | 0 |
| Matches, 12 months | 29 | 15 |
| Matches rated | 38 | 74 |
Serve and return
| Schoenhaus | Matsuda | |
|---|---|---|
| Serve pts wonthis match, hard | 70.2% | 58.8% |
| Return pts won | 41.2% | 29.8% |
| Hold servechance to win a service game | 90.3% | 71.0% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setSchoenhaus 83%from both hold chances
- Match, set by setSchoenhaus 92%set by set, before calibration; published 88% after tempering toward 50%
Conditions
- Days since last event Not in the modelMatsuda 57, Schoenhaus 21counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 57.0%
- First line
- –
- Latest
- 53.2%
Decimal odds 1.75 / 1.99, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Michalski | Noguchi | |
|---|---|---|
| Serve pts won, hard% | 56.3 | 57.7 |
| Return pts won, hard% | 33.8 | 34.2 |
| Hard rating% pts vs avg | 45.05 | 45.98 |
| All-surface rating% pts vs avg | 44.75 | 45.76 |
| Matches rated | 198 | 273 |
Serve and return
| Michalski | Noguchi | |
|---|---|---|
| Serve pts wonthis match, hard | 57.6% | 59.3% |
| Return pts won | 40.7% | 42.4% |
| Hold servechance to win a service game | 68.5% | 72.1% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setNoguchi 56%from both hold chances
- Match, set by setNoguchi 59%set by set, before calibration; published 57% after tempering toward 50%
Conditions
- Days since last event Not in the modelNoguchi 15, Michalski 8counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 61.7%
- First line
- –
- Latest
- 62.7%
Decimal odds 1.49 / 2.50, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Sekulic | Holmgren | |
|---|---|---|
| Serve pts won, hard% | 58.3 | 63.995th of 475 |
| Return pts won, hard% | 31.5 | 29.9394th of 475 |
| Hard rating% pts vs avg | 44.91 | 46.90218th of 475 |
| All-surface rating% pts vs avg | 44.62 | 46.81233rd of 570 |
| Wins, last 10 | – | 3 |
| Matches, 12 months | – | 53 |
| Matches rated | 158 | 203 |
Serve and return
| Sekulic | Holmgren | |
|---|---|---|
| Serve pts wonthis match, hard | 64.6% | 67.6% |
| Return pts won | 32.4% | 35.4% |
| Hold servechance to win a service game | 82.3% | 87.0% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setHolmgren 60%from both hold chances
- Match, set by setHolmgren 64%set by set, before calibration; published 62% after tempering toward 50%
Conditions
- AgeHolmgren 28.6, Sekulic 23.2small age adjustment to serve
- Days since last event Not in the modelHolmgren 8, Sekulic 49counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 69.1%
- First line
- –
- Latest
- 73.8%
Decimal odds 1.26 / 3.54, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Hewitt | Schoolkate | |
|---|---|---|
| Serve pts won, hard% | 57.5373rd of 475 | 64.383rd of 475 |
| Return pts won, hard% | 31.7310th of 475 | 31.3339th of 475 |
| Hard rating% pts vs avg | 44.60347th of 475 | 47.81164th of 475 |
| All-surface rating% pts vs avg | 44.41388th of 570 | 47.61175th of 570 |
| Wins, last 10 | 6 | 6 |
| Matches, 12 months | 22 | 55 |
| Matches rated | 33 | 292 |
Serve and return
| Hewitt | Schoolkate | |
|---|---|---|
| Serve pts wonthis match, hard | 63.3% | 68.3% |
| Return pts won | 31.7% | 36.7% |
| Hold servechance to win a service game | 80.1% | 88.0% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setSchoolkate 66%from both hold chances
- Match, set by setSchoolkate 73%set by set, before calibration; published 69% after tempering toward 50%
Conditions
- AgeSchoolkate 25.7, Hewitt 17.9small age adjustment to serve
- Days since last event Not in the modelSchoolkate 15, Hewitt 22counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 76.3%
- First line
- –
- Latest
- 69.0%
Decimal odds 3.01 / 1.35, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Bolt | Moriya | |
|---|---|---|
| Serve pts won, hard% | 62.7132nd of 475 | 56.2 |
| Return pts won, hard% | 32.0293rd of 475 | 32.0 |
| Hard rating% pts vs avg | 47.31191st of 475 | 44.07 |
| All-surface rating% pts vs avg | 47.28195th of 570 | 43.84 |
| Wins, last 10 | 4 | – |
| Matches, 12 months | 46 | – |
| Matches rated | 502 | 728 |
Serve and return
| Bolt | Moriya | |
|---|---|---|
| Serve pts wonthis match, hard | 65.0% | 58.1% |
| Return pts won | 41.9% | 35.0% |
| Hold servechance to win a service game | 82.9% | 69.4% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setBolt 72%from both hold chances
- Match, set by setBolt 81%set by set, before calibration; published 76% after tempering toward 50%
Conditions
- AgeMoriya 36.1, Bolt 33.8small age adjustment to serve
- Days since last event Not in the modelMoriya 3, Bolt 42counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 60.7%
- First line
- –
- Latest
- 63.9%
Decimal odds 1.46 / 2.58, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Fomin | Xilas | |
|---|---|---|
| Serve pts won, hard% | 57.0384th of 475 | 54.6 |
| Return pts won, hard% | 29.8400th of 475 | 34.8 |
| Hard rating% pts vs avg | 43.41412th of 475 | 44.70 |
| All-surface rating% pts vs avg | 43.07475th of 570 | 44.17 |
| Wins, last 10 | 2 | – |
| Matches, 12 months | 39 | – |
| Matches rated | 119 | 31 |
Serve and return
| Fomin | Xilas | |
|---|---|---|
| Serve pts wonthis match, hard | 57.7% | 60.3% |
| Return pts won | 39.7% | 42.3% |
| Hold servechance to win a service game | 68.5% | 74.1% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setXilas 59%from both hold chances
- Match, set by setXilas 63%set by set, before calibration; published 61% after tempering toward 50%
Conditions
- Days since last event Not in the modelXilas 120, Fomin 15counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 75.1%
- First line
- –
- Latest
- 72.4%
Decimal odds 3.39 / 1.29, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Nagal | Bennani | |
|---|---|---|
| Serve pts won, hard% | 58.5320th of 475 | 57.5 |
| Return pts won, hard% | 35.1115th of 475 | 27.7 |
| Hard rating% pts vs avg | 46.78226th of 475 | 42.59 |
| All-surface rating% pts vs avg | 46.58250th of 570 | 42.68493rd of 570 |
| Wins, last 10 | 4 | 4 |
| Matches, 12 months | 45 | 10 |
| Matches rated | 470 | 12 |
Serve and return
| Nagal | Bennani | |
|---|---|---|
| Serve pts wonthis match, hard | 65.9% | 59.4% |
| Return pts won | 40.6% | 34.1% |
| Hold servechance to win a service game | 84.5% | 72.3% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setNagal 71%from both hold chances
- Match, set by setNagal 80%set by set, before calibration; published 75% after tempering toward 50%
Conditions
- AgeBennani 19.2, Nagal 29.2small age adjustment to serve
- Days since last event Not in the modelBennani 155, Nagal 22counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 84.8%
- First line
- –
- Latest
- 79.9%
Decimal odds 1.17 / 4.66, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Efstathiou | Gill | |
|---|---|---|
| Serve pts won, hard% | 51.9 | 60.8217th of 475 |
| Return pts won, hard% | 31.2 | 31.7313th of 475 |
| Hard rating% pts vs avg | 41.57 | 46.21259th of 475 |
| All-surface rating% pts vs avg | 41.15 | 45.99285th of 570 |
| Wins, last 10 | 1 | 6 |
| Matches, 12 months | 2 | 44 |
| Matches rated | 10 | 113 |
Serve and return
| Efstathiou | Gill | |
|---|---|---|
| Serve pts wonthis match, hard | 55.8% | 65.5% |
| Return pts won | 34.5% | 44.2% |
| Hold servechance to win a service game | 64.3% | 83.8% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setGill 80%from both hold chances
- Match, set by setGill 89%set by set, before calibration; published 85% after tempering toward 50%
Conditions
- Days since last event Not in the modelGill 22, Efstathiou 351counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 52.1%
- First line
- –
- Latest
- 34.1%
Decimal odds 1.41 / 2.72, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Loge | Maestrelli | |
|---|---|---|
| Serve pts won, hard% | 57.0 | 60.8214th of 475 |
| Return pts won, hard% | 35.9 | 30.9355th of 475 |
| Hard rating% pts vs avg | 46.41 | 45.89277th of 475 |
| All-surface rating% pts vs avg | 46.18 | 45.62310th of 570 |
| Wins, last 10 | 5 | 4 |
| Matches, 12 months | 8 | 50 |
| Matches rated | 16 | 302 |
Serve and return
| Loge | Maestrelli | |
|---|---|---|
| Serve pts wonthis match, hard | 61.6% | 61.1% |
| Return pts won | 38.9% | 38.4% |
| Hold servechance to win a service game | 76.8% | 75.8% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setLoge 52%from both hold chances
- Match, set by setLoge 53%set by set, before calibration; published 52% after tempering toward 50%
Conditions
- Days since last event Not in the modelMaestrelli 15, Loge 99counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 74.4%
- First line
- –
- Latest
- 61.3%
Decimal odds 1.52 / 2.41, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Sachko | Svrcina | |
|---|---|---|
| Serve pts won, hard% | 59.4276th of 475 | 58.8299th of 475 |
| Return pts won, hard% | 34.5142nd of 475 | 40.26th of 475 |
| Hard rating% pts vs avg | 46.95215th of 475 | 49.5592nd of 475 |
| All-surface rating% pts vs avg | 47.14206th of 570 | 49.4297th of 570 |
| Wins, last 10 | 6 | 5 |
| Matches, 12 months | 37 | 50 |
| Matches rated | 365 | 313 |
Serve and return
| Sachko | Svrcina | |
|---|---|---|
| Serve pts wonthis match, hard | 54.3% | 60.4% |
| Return pts won | 39.6% | 45.7% |
| Hold servechance to win a service game | 60.5% | 74.4% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setSvrcina 70%from both hold chances
- Match, set by setSvrcina 79%set by set, before calibration; published 74% after tempering toward 50%
Conditions
- AgeSvrcina 24.1, Sachko 29.3small age adjustment to serve
- Surface switchSachko from claygames projection only, not the win chance
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 64.3%
- First line
- –
- Latest
- 53.5%
Decimal odds 2.00 / 1.74, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Prizmic | Virtanen | |
|---|---|---|
| Serve pts won, hard% | 63.4110th of 475 | 64.381st of 475 |
| Return pts won, hard% | 37.332nd of 475 | 33.5199th of 475 |
| Hard rating% pts vs avg | 50.3957th of 475 | 48.94114th of 475 |
| All-surface rating% pts vs avg | 50.9046th of 570 | 48.92120th of 570 |
| Wins, last 10 | 6 | 5 |
| Matches, 12 months | 50 | 50 |
| Matches rated | 188 | 305 |
Serve and return
| Prizmic | Virtanen | |
|---|---|---|
| Serve pts wonthis match, hard | 66.4% | 62.8% |
| Return pts won | 37.2% | 33.6% |
| Hold servechance to win a service game | 85.3% | 79.1% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setPrizmic 62%from both hold chances
- Match, set by setPrizmic 67%set by set, before calibration; published 64% after tempering toward 50%
Conditions
- AgeVirtanen 25.4, Prizmic 21.3small age adjustment to serve
- Days since last event Not in the modelVirtanen 8, Prizmic 15counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 76.1%
- First line
- –
- Latest
- 70.6%
Decimal odds 1.32 / 3.17, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Carboni | Bertola | |
|---|---|---|
| Serve pts won, hard% | 54.7445th of 475 | 61.0203rd of 475 |
| Return pts won, hard% | 31.9300th of 475 | 32.5262nd of 475 |
| Hard rating% pts vs avg | 43.27417th of 475 | 46.78224th of 475 |
| All-surface rating% pts vs avg | 43.23465th of 570 | 46.51256th of 570 |
| Wins, last 10 | 4 | 2 |
| Matches, 12 months | 29 | 46 |
| Matches rated | 66 | 219 |
Serve and return
| Carboni | Bertola | |
|---|---|---|
| Serve pts wonthis match, hard | 57.7% | 64.5% |
| Return pts won | 35.5% | 42.3% |
| Hold servechance to win a service game | 68.5% | 82.1% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setBertola 72%from both hold chances
- Match, set by setBertola 81%set by set, before calibration; published 76% after tempering toward 50%
Conditions
- Days since last event Not in the modelBertola 13, Carboni 29counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 74.4%
- First line
- –
- Latest
- 50.4%
Decimal odds 1.85 / 1.82, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Brancaccio | Paldanius | |
|---|---|---|
| Serve pts won, hard% | 57.9352nd of 475 | 56.7 |
| Return pts won, hard% | 33.5201st of 475 | 27.9 |
| Hard rating% pts vs avg | 45.70287th of 475 | 42.30 |
| All-surface rating% pts vs avg | 45.39322nd of 570 | 41.80 |
| Wins, last 10 | 4 | 0 |
| Matches, 12 months | 52 | 4 |
| Matches rated | 350 | 15 |
Serve and return
| Brancaccio | Paldanius | |
|---|---|---|
| Serve pts wonthis match, hard | 65.0% | 58.7% |
| Return pts won | 41.3% | 35.0% |
| Hold servechance to win a service game | 83.0% | 70.8% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setBrancaccio 70%from both hold chances
- Match, set by setBrancaccio 79%set by set, before calibration; published 74% after tempering toward 50%
Conditions
- Days since last event Not in the modelPaldanius 113, Brancaccio 22counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 78.5%
- First line
- –
- Latest
- 74.7%
Decimal odds 1.25 / 3.69, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Rolland De Ravel | Bellucci | |
|---|---|---|
| Serve pts won, hard% | 59.8 | 64.973rd of 475 |
| Return pts won, hard% | 33.2 | 35.592nd of 475 |
| Hard rating% pts vs avg | 46.46 | 50.1966th of 475 |
| All-surface rating% pts vs avg | 45.76 | 50.0567th of 570 |
| Wins, last 10 | 6 | 7 |
| Matches, 12 months | 8 | 65 |
| Matches rated | 14 | 307 |
Serve and return
| Rolland De Ravel | Bellucci | |
|---|---|---|
| Serve pts wonthis match, hard | 59.8% | 67.6% |
| Return pts won | 32.4% | 40.2% |
| Hold servechance to win a service game | 73.2% | 86.9% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setBellucci 74%from both hold chances
- Match, set by setBellucci 83%set by set, before calibration; published 78% after tempering toward 50%
Conditions
- Days since last event Not in the modelBellucci 6, Rolland De Ravel 22counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 90.6%
- First line
- –
- Latest
- 86.0%
Decimal odds 6.67 / 1.09, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Cretu | Tsitsipas | |
|---|---|---|
| Serve pts won, hard% | 55.1 | 51.7 |
| Return pts won, hard% | 33.6 | 24.6 |
| Hard rating% pts vs avg | 44.35 | 38.17 |
| All-surface rating% pts vs avg | 46.42262nd of 570 | 37.99 |
| Wins, last 10 | 6 | – |
| Matches, 12 months | 47 | – |
| Matches rated | 110 | 39 |
Serve and return
| Cretu | Tsitsipas | |
|---|---|---|
| Serve pts wonthis match, hard | 66.0% | 53.7% |
| Return pts won | 46.3% | 34.0% |
| Hold servechance to win a service game | 84.5% | 59.2% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setCretu 85%from both hold chances
- Match, set by setCretu 94%set by set, before calibration; published 91% after tempering toward 50%
Conditions
- Days since last event Not in the modelTsitsipas 246, Cretu 29counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 58.8%
- First line
- –
- Latest
- 51.7%
Decimal odds 1.93 / 1.80, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Lajovic | Gadamauri | |
|---|---|---|
| Serve pts won, hard% | 62.1157th of 475 | 60.2247th of 475 |
| Return pts won, hard% | 34.4146th of 475 | 32.5266th of 475 |
| Hard rating% pts vs avg | 48.25147th of 475 | 46.32254th of 475 |
| All-surface rating% pts vs avg | 48.57136th of 570 | 46.00283rd of 570 |
| Wins, last 10 | 6 | 5 |
| Matches, 12 months | 43 | 51 |
| Matches rated | 823 | 103 |
Serve and return
| Lajovic | Gadamauri | |
|---|---|---|
| Serve pts wonthis match, hard | 63.5% | 61.3% |
| Return pts won | 38.7% | 36.5% |
| Hold servechance to win a service game | 80.3% | 76.2% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setLajovic 57%from both hold chances
- Match, set by setLajovic 61%set by set, before calibration; published 59% after tempering toward 50%
Conditions
- Days since last event Not in the modelGadamauri 29, Lajovic 64counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 68.4%
- First line
- –
- Latest
- 65.0%
Decimal odds 2.65 / 1.43, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Forejtek | Bondioli | |
|---|---|---|
| Serve pts won, hard% | 60.9 | 57.4 |
| Return pts won, hard% | 32.7 | 31.9 |
| Hard rating% pts vs avg | 46.83 | 44.61 |
| All-surface rating% pts vs avg | 46.48 | 45.09343rd of 570 |
| Wins, last 10 | – | 6 |
| Matches, 12 months | – | 38 |
| Matches rated | 255 | 86 |
Serve and return
| Forejtek | Bondioli | |
|---|---|---|
| Serve pts wonthis match, hard | 64.8% | 60.2% |
| Return pts won | 39.8% | 35.2% |
| Hold servechance to win a service game | 82.6% | 73.9% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setForejtek 65%from both hold chances
- Match, set by setForejtek 72%set by set, before calibration; published 68% after tempering toward 50%
Conditions
- Days since last event Not in the modelBondioli 22, Forejtek 8counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 53.4%
- First line
- –
- Latest
- 65.8%
Decimal odds 2.69 / 1.40, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Coulibaly | Alkaya | |
|---|---|---|
| Serve pts won, hard% | 58.6314th of 475 | 58.6317th of 475 |
| Return pts won, hard% | 32.2281st of 475 | 31.4330th of 475 |
| Hard rating% pts vs avg | 45.40298th of 475 | 44.99327th of 475 |
| All-surface rating% pts vs avg | 44.93354th of 570 | 44.61375th of 570 |
| Wins, last 10 | 5 | 5 |
| Matches, 12 months | 26 | 35 |
| Matches rated | 94 | 44 |
Serve and return
| Coulibaly | Alkaya | |
|---|---|---|
| Serve pts wonthis match, hard | 62.7% | 61.9% |
| Return pts won | 38.1% | 37.3% |
| Hold servechance to win a service game | 79.0% | 77.4% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setCoulibaly 53%from both hold chances
- Match, set by setCoulibaly 54%set by set, before calibration; published 53% after tempering toward 50%
Conditions
- Days since last event Not in the modelAlkaya 15, Coulibaly 50counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 80.0%
- First line
- –
- Latest
- 73.8%
Decimal odds 1.28 / 3.60, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Cerundolo | Michelsen | |
|---|---|---|
| Serve pts won, hard% | 62.8130th of 475 | 66.937th of 475 |
| Return pts won, hard% | 35.2105th of 475 | 38.812th of 475 |
| Hard rating% pts vs avg | 49.00109th of 475 | 52.8718th of 475 |
| All-surface rating% pts vs avg | 49.5291st of 570 | 52.6121st of 570 |
| Wins, last 10 | 3 | 5 |
| Matches, 12 months | 64 | 65 |
| Matches rated | 404 | 263 |
Serve and return
| Cerundolo | Michelsen | |
|---|---|---|
| Serve pts wonthis match, hard | 59.8% | 68.1% |
| Return pts won | 31.9% | 40.2% |
| Hold servechance to win a service game | 73.2% | 87.6% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelTour
- DrawMain draw
- Chance to win a setMichelsen 75%from both hold chances
- Match, set by setMichelsen 85%set by set, before calibration; published 80% after tempering toward 50%
Conditions
- AgeMichelsen 22.2, Cerundolo 25.0small age adjustment to serve
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 53.4%
- First line
- –
- Latest
- 53.6%
Decimal odds 1.76 / 2.03, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Shevchenko | Mannarino | |
|---|---|---|
| Serve pts won, hard% | 62.4142nd of 475 | 63.5108th of 475 |
| Return pts won, hard% | 33.7187th of 475 | 35.778th of 475 |
| Hard rating% pts vs avg | 48.07154th of 475 | 49.6190th of 475 |
| All-surface rating% pts vs avg | 47.99163rd of 570 | 49.34101st of 570 |
| Wins, last 10 | 3 | 6 |
| Matches, 12 months | 52 | 56 |
| Matches rated | 340 | 1019 |
Serve and return
| Shevchenko | Mannarino | |
|---|---|---|
| Serve pts wonthis match, hard | 62.4% | 63.2% |
| Return pts won | 36.8% | 37.6% |
| Hold servechance to win a service game | 78.3% | 79.9% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelTour
- DrawMain draw
- Chance to win a setMannarino 53%from both hold chances
- Match, set by setMannarino 54%set by set, before calibration; published 53% after tempering toward 50%
Conditions
- AgeMannarino 38.4, Shevchenko 25.9small age adjustment to serve
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 59.2%
- First line
- –
- Latest
- 62.9%
Decimal odds 2.51 / 1.48, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Vives Marcos | Dhamne | |
|---|---|---|
| Serve pts won, hard% | 59.1 | 56.5 |
| Return pts won, hard% | 33.5 | 32.3 |
| Hard rating% pts vs avg | 46.27 | 44.42 |
| All-surface rating% pts vs avg | 45.75 | 43.99 |
| Wins, last 10 | 5 | – |
| Matches, 12 months | 8 | – |
| Matches rated | 39 | 58 |
Serve and return
| Vives Marcos | Dhamne | |
|---|---|---|
| Serve pts wonthis match, hard | 62.3% | 60.0% |
| Return pts won | 40.0% | 37.7% |
| Hold servechance to win a service game | 78.1% | 73.6% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setVives Marcos 58%from both hold chances
- Match, set by setVives Marcos 61%set by set, before calibration; published 59% after tempering toward 50%
Conditions
- Days since last event Not in the modelDhamne 9, Vives Marcos 29counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 51.1%
- First line
- –
- Latest
- 37.8%
Decimal odds 1.49 / 2.45, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Bailly | Caniato | |
|---|---|---|
| Serve pts won, hard% | 58.5318th of 475 | 61.3 |
| Return pts won, hard% | 31.8307th of 475 | 29.8 |
| Hard rating% pts vs avg | 45.14316th of 475 | 45.52 |
| All-surface rating% pts vs avg | 45.04347th of 570 | 46.85229th of 570 |
| Wins, last 10 | 3 | 6 |
| Matches, 12 months | 32 | 40 |
| Matches rated | 72 | 62 |
Serve and return
| Bailly | Caniato | |
|---|---|---|
| Serve pts wonthis match, hard | 65.3% | 65.0% |
| Return pts won | 35.0% | 34.7% |
| Hold servechance to win a service game | 83.5% | 83.0% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setBailly 51%from both hold chances
- Match, set by setBailly 51%set by set, before calibration; published 51% after tempering toward 50%
Conditions
- Days since last event Not in the modelCaniato 22, Bailly 71counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 88.9%
- First line
- –
- Latest
- 76.6%
Decimal odds 3.99 / 1.22, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Altmaier | Gobat | |
|---|---|---|
| Serve pts won, hard% | 63.4112th of 475 | 54.6 |
| Return pts won, hard% | 33.8184th of 475 | 30.7 |
| Hard rating% pts vs avg | 48.58135th of 475 | 42.65 |
| All-surface rating% pts vs avg | 48.98117th of 570 | 42.51 |
| Wins, last 10 | 5 | 4 |
| Matches, 12 months | 52 | 1 |
| Matches rated | 485 | 22 |
Serve and return
| Altmaier | Gobat | |
|---|---|---|
| Serve pts wonthis match, hard | 68.0% | 56.4% |
| Return pts won | 43.6% | 32.0% |
| Hold servechance to win a service game | 87.5% | 65.5% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setAltmaier 84%from both hold chances
- Match, set by setAltmaier 93%set by set, before calibration; published 89% after tempering toward 50%
Conditions
- Days since last event Not in the modelGobat 260, Altmaier 12counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 61.6%
- First line
- –
- Latest
- 53.7%
Decimal odds 2.04 / 1.76, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Halys | Sonego | |
|---|---|---|
| Serve pts won, hard% | 68.820th of 475 | 65.456th of 475 |
| Return pts won, hard% | 33.8178th of 475 | 34.4151st of 475 |
| Hard rating% pts vs avg | 51.3238th of 475 | 49.9376th of 475 |
| All-surface rating% pts vs avg | 51.2741st of 570 | 49.6781st of 570 |
| Wins, last 10 | 5 | 3 |
| Matches, 12 months | 66 | 32 |
| Matches rated | 669 | 594 |
Serve and return
| Halys | Sonego | |
|---|---|---|
| Serve pts wonthis match, hard | 69.4% | 66.3% |
| Return pts won | 33.7% | 30.6% |
| Hold servechance to win a service game | 89.3% | 85.1% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelTour
- DrawMain draw
- Chance to win a setHalys 60%from both hold chances
- Match, set by setHalys 64%set by set, before calibration; published 62% after tempering toward 50%
Conditions
- AgeSonego 31.5, Halys 30.0small age adjustment to serve
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 52.6%
- First line
- –
- Latest
- 54.7%
Decimal odds 1.73 / 2.09, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Tirante | Etcheverry | |
|---|---|---|
| Serve pts won, hard% | 66.243rd of 475 | 67.334th of 475 |
| Return pts won, hard% | 34.1165th of 475 | 34.0171st of 475 |
| Hard rating% pts vs avg | 50.1868th of 475 | 50.6748th of 475 |
| All-surface rating% pts vs avg | 50.2760th of 570 | 50.5253rd of 570 |
| Wins, last 10 | 4 | 3 |
| Matches, 12 months | 54 | 56 |
| Matches rated | 388 | 447 |
Serve and return
| Tirante | Etcheverry | |
|---|---|---|
| Serve pts wonthis match, hard | 68.0% | 68.6% |
| Return pts won | 31.4% | 32.0% |
| Hold servechance to win a service game | 87.5% | 88.4% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelTour
- DrawMain draw
- Chance to win a setEtcheverry 52%from both hold chances
- Match, set by setEtcheverry 53%set by set, before calibration; published 53% after tempering toward 50%
Conditions
- AgeEtcheverry 27.3, Tirante 25.6small age adjustment to serve
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 51.2%
- First line
- –
- Latest
- 68.0%
Decimal odds 1.35 / 2.87, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Ouakaa | Echeverria | |
|---|---|---|
| Serve pts won, hard% | 52.3470th of 475 | 53.7 |
| Return pts won, hard% | 30.5375th of 475 | 29.4 |
| Hard rating% pts vs avg | 41.39461st of 475 | 41.53 |
| All-surface rating% pts vs avg | 40.60549th of 570 | 41.44 |
| Wins, last 10 | 3 | 1 |
| Matches, 12 months | 15 | 1 |
| Matches rated | 35 | 31 |
Serve and return
| Ouakaa | Echeverria | |
|---|---|---|
| Serve pts wonthis match, hard | 58.4% | 58.7% |
| Return pts won | 41.3% | 41.6% |
| Hold servechance to win a service game | 70.2% | 70.9% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setEcheverria 51%from both hold chances
- Match, set by setEcheverria 52%set by set, before calibration; published 51% after tempering toward 50%
Conditions
- Days since last event Not in the modelEcheverria 85, Ouakaa 92counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 66.1%
- First line
- –
- Latest
- 69.8%
Decimal odds 1.33 / 3.08, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Janvier | Clarke | |
|---|---|---|
| Serve pts won, hard% | 58.9 | 57.7354th of 475 |
| Return pts won, hard% | 30.2 | 35.0117th of 475 |
| Hard rating% pts vs avg | 44.55 | 46.39248th of 475 |
| All-surface rating% pts vs avg | 43.93 | 46.38263rd of 570 |
| Wins, last 10 | – | 6 |
| Matches, 12 months | – | 53 |
| Matches rated | 580 | 362 |
Serve and return
| Janvier | Clarke | |
|---|---|---|
| Serve pts wonthis match, hard | 58.8% | 62.8% |
| Return pts won | 37.2% | 41.2% |
| Hold servechance to win a service game | 71.1% | 79.1% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setClarke 63%from both hold chances
- Match, set by setClarke 70%set by set, before calibration; published 66% after tempering toward 50%
Conditions
- AgeClarke 28.3, Janvier 30.1small age adjustment to serve
- Days since last event Not in the modelClarke 22, Janvier 2counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 66.6%
- First line
- –
- Latest
- 60.2%
Decimal odds 2.33 / 1.54, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Henning | Papoe | |
|---|---|---|
| Serve pts won, hard% | 59.9254th of 475 | 54.4 |
| Return pts won, hard% | 33.7189th of 475 | 35.1 |
| Hard rating% pts vs avg | 46.77228th of 475 | 44.74 |
| All-surface rating% pts vs avg | 46.27271st of 570 | 45.81299th of 570 |
| Wins, last 10 | 3 | 6 |
| Matches, 12 months | 32 | 17 |
| Matches rated | 59 | 46 |
Serve and return
| Henning | Papoe | |
|---|---|---|
| Serve pts wonthis match, hard | 60.3% | 56.3% |
| Return pts won | 43.7% | 39.7% |
| Hold servechance to win a service game | 74.3% | 65.4% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setHenning 64%from both hold chances
- Match, set by setHenning 70%set by set, before calibration; published 67% after tempering toward 50%
Conditions
- Days since last event Not in the modelPapoe 22, Henning 29counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 56.0%
- First line
- –
- Latest
- 63.9%
Decimal odds 2.57 / 1.45, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Ribecai | Nedic | |
|---|---|---|
| Serve pts won, hard% | 56.6396th of 475 | 57.0 |
| Return pts won, hard% | 35.3103rd of 475 | 33.5 |
| Hard rating% pts vs avg | 45.94273rd of 475 | 45.23 |
| All-surface rating% pts vs avg | 46.03282nd of 570 | 45.66308th of 570 |
| Wins, last 10 | 5 | 5 |
| Matches, 12 months | 57 | 47 |
| Matches rated | 66 | 59 |
Serve and return
| Ribecai | Nedic | |
|---|---|---|
| Serve pts wonthis match, hard | 58.7% | 57.2% |
| Return pts won | 42.8% | 41.3% |
| Hold servechance to win a service game | 70.7% | 67.5% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setRibecai 55%from both hold chances
- Match, set by setRibecai 57%set by set, before calibration; published 56% after tempering toward 50%
Conditions
- Days since last event Not in the modelNedic 22, Ribecai 22counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 65.1%
- First line
- –
- Latest
- 54.5%
Decimal odds 1.71 / 2.05, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Glinka | Baez | |
|---|---|---|
| Serve pts won, hard% | 60.6223rd of 475 | 60.5229th of 475 |
| Return pts won, hard% | 33.1227th of 475 | 36.849th of 475 |
| Hard rating% pts vs avg | 46.88221st of 475 | 48.65128th of 475 |
| All-surface rating% pts vs avg | 46.60248th of 570 | 48.77128th of 570 |
| Wins, last 10 | 6 | 2 |
| Matches, 12 months | 60 | 58 |
| Matches rated | 158 | 352 |
Serve and return
| Glinka | Baez | |
|---|---|---|
| Serve pts wonthis match, hard | 59.3% | 63.1% |
| Return pts won | 36.9% | 40.7% |
| Hold servechance to win a service game | 72.2% | 79.6% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setBaez 63%from both hold chances
- Match, set by setBaez 68%set by set, before calibration; published 65% after tempering toward 50%
Conditions
- Days since last event Not in the modelBaez 8, Glinka 15counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 56.9%
- First line
- –
- Latest
- 49.2%
Decimal odds 1.82 / 1.88, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Nardi | Piros | |
|---|---|---|
| Serve pts won, hard% | 60.9210th of 475 | 60.2244th of 475 |
| Return pts won, hard% | 34.5144th of 475 | 34.2161st of 475 |
| Hard rating% pts vs avg | 47.70170th of 475 | 47.20198th of 475 |
| All-surface rating% pts vs avg | 47.43185th of 570 | 47.56178th of 570 |
| Wins, last 10 | 4 | 6 |
| Matches, 12 months | 31 | 61 |
| Matches rated | 304 | 386 |
Serve and return
| Nardi | Piros | |
|---|---|---|
| Serve pts wonthis match, hard | 62.9% | 61.3% |
| Return pts won | 38.7% | 37.1% |
| Hold servechance to win a service game | 79.4% | 76.1% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setNardi 56%from both hold chances
- Match, set by setNardi 58%set by set, before calibration; published 57% after tempering toward 50%
Conditions
- AgePiros 27.1, Nardi 23.3small age adjustment to serve
- Surface switchNardi from claygames projection only, not the win chance
- Days since last event Not in the modelPiros 8, Nardi 29counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 64.2%
- First line
- –
- Latest
- 65.0%
Decimal odds 1.45 / 2.69, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Kecmanovic | Rinderknech | |
|---|---|---|
| Serve pts won, hard% | 63.3116th of 475 | 69.018th of 475 |
| Return pts won, hard% | 35.0116th of 475 | 33.8182nd of 475 |
| Hard rating% pts vs avg | 49.16102nd of 475 | 51.3937th of 475 |
| All-surface rating% pts vs avg | 49.32102nd of 570 | 51.5335th of 570 |
| Wins, last 10 | 3 | 4 |
| Matches, 12 months | 49 | 36 |
| Matches rated | 497 | 425 |
Serve and return
| Kecmanovic | Rinderknech | |
|---|---|---|
| Serve pts wonthis match, hard | 65.0% | 68.7% |
| Return pts won | 31.3% | 35.0% |
| Hold servechance to win a service game | 82.9% | 88.4% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelTour
- DrawMain draw
- Chance to win a setRinderknech 62%from both hold chances
- Match, set by setRinderknech 67%set by set, before calibration; published 64% after tempering toward 50%
Conditions
- AgeRinderknech 31.3, Kecmanovic 27.2small age adjustment to serve
- Days since last event Not in the modelRinderknech 5, Kecmanovic 22counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 57.9%
- First line
- –
- Latest
- 45.2%
Decimal odds 2.06 / 1.70, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Echargui | Ajdukovic | |
|---|---|---|
| Serve pts won, hard% | 58.7312th of 475 | 58.8304th of 475 |
| Return pts won, hard% | 32.3274th of 475 | 32.6253rd of 475 |
| Hard rating% pts vs avg | 45.47296th of 475 | 45.71286th of 475 |
| All-surface rating% pts vs avg | 45.09341st of 570 | 45.11337th of 570 |
| Wins, last 10 | 4 | 4 |
| Matches, 12 months | 40 | 37 |
| Matches rated | 240 | 330 |
Serve and return
| Echargui | Ajdukovic | |
|---|---|---|
| Serve pts wonthis match, hard | 60.3% | 62.2% |
| Return pts won | 37.8% | 39.7% |
| Hold servechance to win a service game | 74.2% | 78.1% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setAjdukovic 57%from both hold chances
- Match, set by setAjdukovic 60%set by set, before calibration; published 58% after tempering toward 50%
Conditions
- AgeAjdukovic 25.8, Echargui 33.8small age adjustment to serve
- Days since last event Not in the modelAjdukovic 36, Echargui 15counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 61.1%
- First line
- –
- Latest
- 61.3%
Decimal odds 2.41 / 1.52, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Cadenasso | Petkovic | |
|---|---|---|
| Serve pts won, hard% | 58.0 | 57.6 |
| Return pts won, hard% | 33.9 | 32.4 |
| Hard rating% pts vs avg | 45.97 | 45.04 |
| All-surface rating% pts vs avg | 46.86227th of 570 | 44.35397th of 570 |
| Wins, last 10 | 8 | 3 |
| Matches, 12 months | 39 | 18 |
| Matches rated | 63 | 36 |
Serve and return
| Cadenasso | Petkovic | |
|---|---|---|
| Serve pts wonthis match, hard | 62.0% | 59.3% |
| Return pts won | 40.7% | 38.0% |
| Hold servechance to win a service game | 77.6% | 72.0% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setCadenasso 59%from both hold chances
- Match, set by setCadenasso 64%set by set, before calibration; published 61% after tempering toward 50%
Conditions
- Days since last event Not in the modelPetkovic 43, Cadenasso 22counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 66.0%
- First line
- –
- Latest
- 77.3%
Decimal odds 1.19 / 4.06, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Barsukov | Moeller | |
|---|---|---|
| Serve pts won, hard% | 59.0 | 58.4 |
| Return pts won, hard% | 30.0 | 34.7 |
| Hard rating% pts vs avg | 44.51 | 46.59 |
| All-surface rating% pts vs avg | 44.32 | 46.67 |
| Wins, last 10 | 5 | – |
| Matches, 12 months | 6 | – |
| Matches rated | 14 | 140 |
Serve and return
| Barsukov | Moeller | |
|---|---|---|
| Serve pts wonthis match, hard | 59.8% | 63.8% |
| Return pts won | 36.2% | 40.2% |
| Hold servechance to win a service game | 73.2% | 80.9% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setMoeller 63%from both hold chances
- Match, set by setMoeller 69%set by set, before calibration; published 66% after tempering toward 50%
Conditions
- Days since last event Not in the modelMoeller 29, Barsukov 288counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 57.3%
- First line
- –
- Latest
- 41.9%
Decimal odds 2.18 / 1.57, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Planinsek | Kimhi | |
|---|---|---|
| Serve pts won, hard% | 57.6 | 53.3 |
| Return pts won, hard% | 28.5 | 34.7 |
| Hard rating% pts vs avg | 43.08 | 43.97 |
| All-surface rating% pts vs avg | 42.12 | 43.69 |
| Wins, last 10 | 1 | 7 |
| Matches, 12 months | 3 | 8 |
| Matches rated | 12 | 16 |
Serve and return
| Planinsek | Kimhi | |
|---|---|---|
| Serve pts wonthis match, hard | 58.5% | 60.3% |
| Return pts won | 39.7% | 41.5% |
| Hold servechance to win a service game | 70.4% | 74.1% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setKimhi 56%from both hold chances
- Match, set by setKimhi 59%set by set, before calibration; published 57% after tempering toward 50%
Conditions
- Days since last event Not in the modelKimhi 162, Planinsek 71counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 84.8%
- First line
- –
- Latest
- 81.1%
Decimal odds 1.13 / 4.85, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| De La Fuente | Rincon | |
|---|---|---|
| Serve pts won, clay% | 52.6390th of 402 | 58.6 |
| Return pts won, clay% | 32.0299th of 402 | 35.0 |
| Clay rating% pts vs avg | 42.31378th of 402 | 46.82 |
| All-surface rating% pts vs avg | 41.78523rd of 570 | 46.72 |
| Wins, last 10 | 4 | – |
| Matches, 12 months | 22 | – |
| Matches rated | 64 | 234 |
Serve and return
| De La Fuente | Rincon | |
|---|---|---|
| Serve pts wonthis match, clay | 53.8% | 63.4% |
| Return pts won | 36.6% | 46.2% |
| Hold servechance to win a service game | 59.5% | 80.2% |
What moves this game
- SurfaceClayratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setRincon 80%from both hold chances
- Match, set by setRincon 89%set by set, before calibration; published 85% after tempering toward 50%
Conditions
- Days since last event Not in the modelRincon 29, De La Fuente 148counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 66.2%
- First line
- –
- Latest
- 57.2%
Decimal odds 1.61 / 2.15, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Hemery | Mochizuki | |
|---|---|---|
| Serve pts won, hard% | 61.3195th of 475 | 57.2377th of 475 |
| Return pts won, hard% | 30.2387th of 475 | 36.754th of 475 |
| Hard rating% pts vs avg | 45.72284th of 475 | 46.99209th of 475 |
| All-surface rating% pts vs avg | 45.72307th of 570 | 47.24199th of 570 |
| Wins, last 10 | 4 | 3 |
| Matches, 12 months | 44 | 43 |
| Matches rated | 471 | 347 |
Serve and return
| Hemery | Mochizuki | |
|---|---|---|
| Serve pts wonthis match, hard | 59.2% | 63.2% |
| Return pts won | 36.8% | 40.8% |
| Hold servechance to win a service game | 71.9% | 79.9% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setMochizuki 63%from both hold chances
- Match, set by setMochizuki 70%set by set, before calibration; published 66% after tempering toward 50%
Conditions
- AgeMochizuki 23.4, Hemery 31.8small age adjustment to serve
- Surface switchHemery from claygames projection only, not the win chance
- Days since last event Not in the modelMochizuki 8, Hemery 22counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 69.2%
- First line
- –
- Latest
- 52.7%
Decimal odds 1.76 / 1.96, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Topo | Blanch | |
|---|---|---|
| Serve pts won, hard% | 59.4275th of 475 | 62.3146th of 475 |
| Return pts won, hard% | 30.6372nd of 475 | 32.0290th of 475 |
| Hard rating% pts vs avg | 44.99328th of 475 | 47.16202nd of 475 |
| All-surface rating% pts vs avg | 44.49382nd of 570 | 47.01218th of 570 |
| Wins, last 10 | 3 | 7 |
| Matches, 12 months | 27 | 63 |
| Matches rated | 171 | 105 |
Serve and return
| Topo | Blanch | |
|---|---|---|
| Serve pts wonthis match, hard | 63.6% | 68.7% |
| Return pts won | 31.3% | 36.4% |
| Hold servechance to win a service game | 80.6% | 88.4% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setBlanch 66%from both hold chances
- Match, set by setBlanch 73%set by set, before calibration; published 69% after tempering toward 50%
Conditions
- AgeBlanch 19.1, Topo 23.2small age adjustment to serve
- Surface switchTopo from claygames projection only, not the win chance
- Days since last event Not in the modelBlanch 8, Topo 64counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 69.9%
- First line
- –
- Latest
- 69.6%
Decimal odds 3.04 / 1.33, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Blanch | Gray | |
|---|---|---|
| Serve pts won, hard% | 62.3146th of 475 | 60.0 |
| Return pts won, hard% | 32.0290th of 475 | 30.8 |
| Hard rating% pts vs avg | 47.16202nd of 475 | 45.37 |
| All-surface rating% pts vs avg | 47.01218th of 570 | 45.48 |
| Wins, last 10 | 7 | – |
| Matches, 12 months | 63 | – |
| Matches rated | 105 | 100 |
Serve and return
| Blanch | Gray | |
|---|---|---|
| Serve pts wonthis match, hard | 68.5% | 63.2% |
| Return pts won | 36.8% | 31.5% |
| Hold servechance to win a service game | 88.2% | 79.9% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setBlanch 67%from both hold chances
- Match, set by setBlanch 74%set by set, before calibration; published 70% after tempering toward 50%
Conditions
- AgeGray 28.4, Blanch 19.1small age adjustment to serve
- Surface switchGray from grassgames projection only, not the win chance
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 71.8%
- First line
- –
- Latest
- 73.0%
Decimal odds 3.41 / 1.26, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Giustino | Tepmahc | |
|---|---|---|
| Serve pts won, hard% | 57.7 | 55.0 |
| Return pts won, hard% | 32.5 | 28.1 |
| Hard rating% pts vs avg | 45.08 | 41.57 |
| All-surface rating% pts vs avg | 44.96 | 41.07 |
| Wins, last 10 | – | 1 |
| Matches, 12 months | – | 0 |
| Matches rated | 617 | 13 |
Serve and return
| Giustino | Tepmahc | |
|---|---|---|
| Serve pts wonthis match, hard | 63.6% | 58.1% |
| Return pts won | 41.9% | 36.4% |
| Hold servechance to win a service game | 80.6% | 69.5% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setGiustino 68%from both hold chances
- Match, set by setGiustino 76%set by set, before calibration; published 72% after tempering toward 50%
Conditions
- Days since last event Not in the modelTepmahc 428, Giustino 22counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 78.8%
- First line
- –
- Latest
- 75.1%
Decimal odds 1.22 / 3.68, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Malige | Debru | |
|---|---|---|
| Serve pts won, hard% | 52.6 | 58.3329th of 475 |
| Return pts won, hard% | 31.8 | 33.6196th of 475 |
| Hard rating% pts vs avg | 42.21 | 45.95272nd of 475 |
| All-surface rating% pts vs avg | 41.69 | 46.05280th of 570 |
| Wins, last 10 | 1 | 8 |
| Matches, 12 months | 7 | 10 |
| Matches rated | 48 | 110 |
Serve and return
| Malige | Debru | |
|---|---|---|
| Serve pts wonthis match, hard | 54.5% | 62.0% |
| Return pts won | 38.0% | 45.5% |
| Hold servechance to win a service game | 61.2% | 77.6% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setDebru 74%from both hold chances
- Match, set by setDebru 84%set by set, before calibration; published 79% after tempering toward 50%
Conditions
- Days since last event Not in the modelDebru 22, Malige 64counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 63.9%
- First line
- –
- Latest
- 63.6%
Decimal odds 2.52 / 1.44, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Legout | Nesterov | |
|---|---|---|
| Serve pts won, hard% | 58.8300th of 475 | 57.6357th of 475 |
| Return pts won, hard% | 35.875th of 475 | 33.6194th of 475 |
| Hard rating% pts vs avg | 47.30192nd of 475 | 45.62291st of 475 |
| All-surface rating% pts vs avg | 47.02217th of 570 | 45.49317th of 570 |
| Wins, last 10 | 5 | 4 |
| Matches, 12 months | 19 | 34 |
| Matches rated | 46 | 78 |
Serve and return
| Legout | Nesterov | |
|---|---|---|
| Serve pts wonthis match, hard | 60.8% | 57.4% |
| Return pts won | 42.6% | 39.2% |
| Hold servechance to win a service game | 75.1% | 67.9% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setLegout 61%from both hold chances
- Match, set by setLegout 67%set by set, before calibration; published 64% after tempering toward 50%
Conditions
- Days since last event Not in the modelNesterov 8, Legout 15counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 71.2%
- First line
- –
- Latest
- 82.4%
Decimal odds 5.19 / 1.11, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Roca Batalla | Magadan | |
|---|---|---|
| Serve pts won, clay% | 60.7 | 56.8310th of 402 |
| Return pts won, clay% | 34.7 | 31.8311th of 402 |
| Clay rating% pts vs avg | 47.70 | 44.29329th of 402 |
| All-surface rating% pts vs avg | 47.27 | 44.37395th of 570 |
| Wins, last 10 | – | 4 |
| Matches, 12 months | – | 27 |
| Matches rated | 373 | 52 |
Serve and return
| Roca Batalla | Magadan | |
|---|---|---|
| Serve pts wonthis match, clay | 64.0% | 58.6% |
| Return pts won | 41.4% | 36.0% |
| Hold servechance to win a service game | 81.2% | 70.6% |
What moves this game
- SurfaceClayratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setRoca Batalla 68%from both hold chances
- Match, set by setRoca Batalla 75%set by set, before calibration; published 71% after tempering toward 50%
Conditions
- AgeMagadan 25.5, Roca Batalla 33.5small age adjustment to serve
- Surface switchMagadan from hardgames projection only, not the win chance
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 59.3%
- First line
- –
- Latest
- 55.1%
Decimal odds 2.04 / 1.66, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Jarry | Sanchez Izquierdo | |
|---|---|---|
| Serve pts won, clay% | 65.437th of 402 | 58.9 |
| Return pts won, clay% | 33.0255th of 402 | 36.6 |
| Clay rating% pts vs avg | 49.2292nd of 402 | 47.75 |
| All-surface rating% pts vs avg | 48.69130th of 570 | 47.25 |
| Wins, last 10 | 4 | – |
| Matches, 12 months | 14 | – |
| Matches rated | 542 | 298 |
Serve and return
| Jarry | Sanchez Izquierdo | |
|---|---|---|
| Serve pts wonthis match, clay | 64.3% | 62.0% |
| Return pts won | 38.0% | 35.7% |
| Hold servechance to win a service game | 81.8% | 77.6% |
What moves this game
- SurfaceClayratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setJarry 58%from both hold chances
- Match, set by setJarry 61%set by set, before calibration; published 59% after tempering toward 50%
Conditions
- AgeSanchez Izquierdo 27.7, Jarry 31.1small age adjustment to serve
- Days since last event Not in the modelSanchez Izquierdo 8, Jarry 15counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 52.4%
- First line
- –
- Latest
- 50.4%
Decimal odds 1.84 / 1.81, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Misolic | Monteiro | |
|---|---|---|
| Serve pts won, clay% | 60.1185th of 402 | 62.895th of 402 |
| Return pts won, clay% | 34.8157th of 402 | 32.8268th of 402 |
| Clay rating% pts vs avg | 47.43170th of 402 | 47.79148th of 402 |
| All-surface rating% pts vs avg | 46.69241st of 570 | 47.37188th of 570 |
| Wins, last 10 | 4 | 4 |
| Matches, 12 months | 13 | 49 |
| Matches rated | 253 | 735 |
Serve and return
| Misolic | Monteiro | |
|---|---|---|
| Serve pts wonthis match, clay | 63.8% | 63.2% |
| Return pts won | 36.8% | 36.2% |
| Hold servechance to win a service game | 81.0% | 79.9% |
What moves this game
- SurfaceClayratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setMisolic 52%from both hold chances
- Match, set by setMisolic 53%set by set, before calibration; published 52% after tempering toward 50%
Conditions
- AgeMonteiro 32.4, Misolic 25.3small age adjustment to serve
- Surface switchMisolic from hardgames projection only, not the win chance
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 52.1%
- First line
- –
- Latest
- 58.6%
Decimal odds 1.61 / 2.28, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Bergs | Rune | |
|---|---|---|
| Serve pts won, hard% | 65.653rd of 475 | 66.6 |
| Return pts won, hard% | 36.945th of 475 | 35.7 |
| Hard rating% pts vs avg | 51.2441st of 475 | 51.16 |
| All-surface rating% pts vs avg | 51.4038th of 570 | 51.13 |
| Wins, last 10 | 5 | 6 |
| Matches, 12 months | 51 | 6 |
| Matches rated | 380 | 345 |
Serve and return
| Bergs | Rune | |
|---|---|---|
| Serve pts wonthis match, hard | 65.3% | 65.9% |
| Return pts won | 34.1% | 34.7% |
| Hold servechance to win a service game | 83.5% | 84.4% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelTour
- DrawMain draw
- Chance to win a setRune 52%from both hold chances
- Match, set by setRune 53%set by set, before calibration; published 52% after tempering toward 50%
Conditions
- AgeRune 23.5, Bergs 27.4small age adjustment to serve
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 75.1%
- First line
- –
- Latest
- 64.2%
Decimal odds 1.45 / 2.60, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Herbert | Basavareddy | |
|---|---|---|
| Serve pts won, hard% | 63.4113th of 475 | 63.5107th of 475 |
| Return pts won, hard% | 32.1285th of 475 | 36.269th of 475 |
| Hard rating% pts vs avg | 47.74165th of 475 | 49.8282nd of 475 |
| All-surface rating% pts vs avg | 47.40186th of 570 | 49.5989th of 570 |
| Wins, last 10 | 2 | 6 |
| Matches, 12 months | 32 | 44 |
| Matches rated | 707 | 170 |
Serve and return
| Herbert | Basavareddy | |
|---|---|---|
| Serve pts wonthis match, hard | 61.2% | 67.9% |
| Return pts won | 32.1% | 38.8% |
| Hold servechance to win a service game | 76.0% | 87.4% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setBasavareddy 71%from both hold chances
- Match, set by setBasavareddy 80%set by set, before calibration; published 75% after tempering toward 50%
Conditions
- AgeBasavareddy 21.5, Herbert 35.7small age adjustment to serve
- Days since last event Not in the modelBasavareddy 8, Herbert 15counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 66.7%
- First line
- –
- Latest
- 56.1%
Decimal odds 2.10 / 1.64, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Comesana | Cecchinato | |
|---|---|---|
| Serve pts won, clay% | 62.6102nd of 402 | 61.6132nd of 402 |
| Return pts won, clay% | 36.191st of 402 | 34.4177th of 402 |
| Clay rating% pts vs avg | 49.3783rd of 402 | 47.99142nd of 402 |
| All-surface rating% pts vs avg | 48.89121st of 570 | 47.51180th of 570 |
| Wins, last 10 | 5 | 5 |
| Matches, 12 months | 46 | 63 |
| Matches rated | 273 | 830 |
Serve and return
| Comesana | Cecchinato | |
|---|---|---|
| Serve pts wonthis match, clay | 64.6% | 60.4% |
| Return pts won | 39.6% | 35.4% |
| Hold servechance to win a service game | 82.2% | 74.3% |
What moves this game
- SurfaceClayratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setComesana 64%from both hold chances
- Match, set by setComesana 70%set by set, before calibration; published 67% after tempering toward 50%
Conditions
- AgeCecchinato 34.1, Comesana 26.1small age adjustment to serve
- Surface switchComesana from hardgames projection only, not the win chance
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 69.6%
- First line
- –
- Latest
- 65.1%
Decimal odds 1.42 / 2.65, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Olivieri | Moller | |
|---|---|---|
| Serve pts won, clay% | 55.8 | 55.7342nd of 402 |
| Return pts won, clay% | 35.3 | 39.217th of 402 |
| Clay rating% pts vs avg | 45.51 | 47.45169th of 402 |
| All-surface rating% pts vs avg | 45.09 | 46.82232nd of 570 |
| Wins, last 10 | – | 6 |
| Matches, 12 months | – | 54 |
| Matches rated | 337 | 174 |
Serve and return
| Olivieri | Moller | |
|---|---|---|
| Serve pts wonthis match, clay | 52.5% | 57.3% |
| Return pts won | 42.7% | 47.5% |
| Hold servechance to win a service game | 56.3% | 67.7% |
What moves this game
- SurfaceClayratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setMoller 66%from both hold chances
- Match, set by setMoller 74%set by set, before calibration; published 70% after tempering toward 50%
Conditions
- AgeMoller 23.3, Olivieri 28.3small age adjustment to serve
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 59.1%
- First line
- –
- Latest
- 49.6%
Decimal odds 1.81 / 1.84, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Cassone | Milavsky | |
|---|---|---|
| Serve pts won, hard% | 62.3150th of 475 | 60.7221st of 475 |
| Return pts won, hard% | 32.1286th of 475 | 31.8302nd of 475 |
| Hard rating% pts vs avg | 47.17201st of 475 | 46.24258th of 475 |
| All-surface rating% pts vs avg | 46.86228th of 570 | 46.11279th of 570 |
| Wins, last 10 | 7 | 4 |
| Matches, 12 months | 42 | 38 |
| Matches rated | 161 | 67 |
Serve and return
| Cassone | Milavsky | |
|---|---|---|
| Serve pts wonthis match, hard | 66.5% | 64.1% |
| Return pts won | 35.9% | 33.5% |
| Hold servechance to win a service game | 85.3% | 81.5% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setCassone 58%from both hold chances
- Match, set by setCassone 61%set by set, before calibration; published 59% after tempering toward 50%
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 83.5%
- First line
- –
- Latest
- 81.6%
Decimal odds 4.97 / 1.12, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Tarvet | Baris | |
|---|---|---|
| Serve pts won, hard% | 62.4140th of 475 | 57.5370th of 475 |
| Return pts won, hard% | 35.588th of 475 | 31.8304th of 475 |
| Hard rating% pts vs avg | 48.97112th of 475 | 44.65345th of 475 |
| All-surface rating% pts vs avg | 49.6088th of 570 | 44.38394th of 570 |
| Wins, last 10 | 8 | 3 |
| Matches, 12 months | 17 | 10 |
| Matches rated | 38 | 48 |
Serve and return
| Tarvet | Baris | |
|---|---|---|
| Serve pts wonthis match, hard | 66.9% | 57.5% |
| Return pts won | 42.5% | 33.1% |
| Hold servechance to win a service game | 85.9% | 68.1% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setTarvet 79%from both hold chances
- Match, set by setTarvet 88%set by set, before calibration; published 84% after tempering toward 50%
Conditions
- Days since last event Not in the modelBaris 15, Tarvet 36counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 68.8%
- First line
- –
- Latest
- 73.4%
Decimal odds 1.27 / 3.50, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Samuel | Musetti | |
|---|---|---|
| Serve pts won, hard% | 63.7102nd of 475 | 67.826th of 475 |
| Return pts won, hard% | 37.137th of 475 | 38.022nd of 475 |
| Hard rating% pts vs avg | 50.4156th of 475 | 52.8817th of 475 |
| All-surface rating% pts vs avg | 49.9972nd of 570 | 52.8118th of 570 |
| Wins, last 10 | 4 | 8 |
| Matches, 12 months | 62 | 42 |
| Matches rated | 97 | 420 |
Serve and return
| Samuel | Musetti | |
|---|---|---|
| Serve pts wonthis match, hard | 61.8% | 66.6% |
| Return pts won | 33.4% | 38.2% |
| Hold servechance to win a service game | 77.1% | 85.5% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelTour
- DrawMain draw
- Chance to win a setMusetti 66%from both hold chances
- Match, set by setMusetti 73%set by set, before calibration; published 69% after tempering toward 50%
Conditions
- AgeMusetti 24.7, Samuel 24.2small age adjustment to serve
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 52.1%
- First line
- –
- Latest
- 46.3%
Decimal odds 1.71 / 1.98, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Mmoh | Mayo | |
|---|---|---|
| Serve pts won, hard% | 60.4234th of 475 | 62.3151st of 475 |
| Return pts won, hard% | 36.463rd of 475 | 33.0233rd of 475 |
| Hard rating% pts vs avg | 48.38142nd of 475 | 47.64173rd of 475 |
| All-surface rating% pts vs avg | 48.05161st of 570 | 47.28194th of 570 |
| Wins, last 10 | 6 | 7 |
| Matches, 12 months | 45 | 41 |
| Matches rated | 468 | 206 |
Serve and return
| Mmoh | Mayo | |
|---|---|---|
| Serve pts wonthis match, hard | 62.5% | 62.0% |
| Return pts won | 38.0% | 37.5% |
| Hold servechance to win a service game | 78.6% | 77.6% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setMmoh 52%from both hold chances
- Match, set by setMmoh 53%set by set, before calibration; published 52% after tempering toward 50%
Conditions
- AgeMayo 23.5, Mmoh 28.8small age adjustment to serve
- Days since last event Not in the modelMayo 8, Mmoh 29counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 51.3%
- First line
- –
- Latest
- 56.2%
Decimal odds 2.12 / 1.65, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Kozlov | Galarneau | |
|---|---|---|
| Serve pts won, hard% | 57.7 | 59.7260th of 475 |
| Return pts won, hard% | 36.3 | 33.9177th of 475 |
| Hard rating% pts vs avg | 47.03 | 46.78227th of 475 |
| All-surface rating% pts vs avg | 46.89 | 46.75236th of 570 |
| Wins, last 10 | – | 3 |
| Matches, 12 months | – | 56 |
| Matches rated | 464 | 387 |
Serve and return
| Kozlov | Galarneau | |
|---|---|---|
| Serve pts wonthis match, hard | 59.1% | 58.8% |
| Return pts won | 41.2% | 40.9% |
| Hold servechance to win a service game | 71.6% | 70.9% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setKozlov 51%from both hold chances
- Match, set by setKozlov 52%set by set, before calibration; published 51% after tempering toward 50%
Conditions
- AgeGalarneau 27.7, Kozlov 28.8small age adjustment to serve
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 74.5%
- First line
- –
- Latest
- 76.8%
Decimal odds 3.97 / 1.20, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Jacquet | Grenier | |
|---|---|---|
| Serve pts won, hard% | 63.2120th of 475 | 59.7257th of 475 |
| Return pts won, hard% | 34.8128th of 475 | 32.8243rd of 475 |
| Hard rating% pts vs avg | 49.00108th of 475 | 46.26256th of 475 |
| All-surface rating% pts vs avg | 48.92119th of 570 | 45.92289th of 570 |
| Wins, last 10 | 6 | 3 |
| Matches, 12 months | 41 | 28 |
| Matches rated | 261 | 508 |
Serve and return
| Jacquet | Grenier | |
|---|---|---|
| Serve pts wonthis match, hard | 66.2% | 59.8% |
| Return pts won | 40.2% | 33.8% |
| Hold servechance to win a service game | 84.9% | 73.1% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setJacquet 70%from both hold chances
- Match, set by setJacquet 79%set by set, before calibration; published 74% after tempering toward 50%
Conditions
- AgeGrenier 30.6, Jacquet 25.5small age adjustment to serve
- Days since last event Not in the modelGrenier 15, Jacquet 8counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 67.7%
- First line
- –
- Latest
- 38.2%
Decimal odds 1.51 / 2.44, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Andrade | Shick | |
|---|---|---|
| Serve pts won, hard% | 58.0344th of 475 | 58.2334th of 475 |
| Return pts won, hard% | 35.970th of 475 | 31.3338th of 475 |
| Hard rating% pts vs avg | 46.97213th of 475 | 44.77341st of 475 |
| All-surface rating% pts vs avg | 46.68242nd of 570 | 44.51379th of 570 |
| Wins, last 10 | 7 | 3 |
| Matches, 12 months | 64 | 34 |
| Matches rated | 149 | 42 |
Serve and return
| Andrade | Shick | |
|---|---|---|
| Serve pts wonthis match, hard | 62.3% | 57.9% |
| Return pts won | 42.1% | 37.7% |
| Hold servechance to win a service game | 78.1% | 69.0% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setAndrade 65%from both hold chances
- Match, set by setAndrade 71%set by set, before calibration; published 68% after tempering toward 50%
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 82.8%
- First line
- –
- Latest
- 80.6%
Decimal odds 4.69 / 1.13, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Zheng | Hussey | |
|---|---|---|
| Serve pts won, hard% | 62.5136th of 475 | 58.1339th of 475 |
| Return pts won, hard% | 36.850th of 475 | 33.5204th of 475 |
| Hard rating% pts vs avg | 49.6988th of 475 | 45.79280th of 475 |
| All-surface rating% pts vs avg | 49.4794th of 570 | 45.91292nd of 570 |
| Wins, last 10 | 4 | 7 |
| Matches, 12 months | 39 | 28 |
| Matches rated | 108 | 101 |
Serve and return
| Zheng | Hussey | |
|---|---|---|
| Serve pts wonthis match, hard | 65.4% | 56.4% |
| Return pts won | 43.6% | 34.6% |
| Hold servechance to win a service game | 83.6% | 65.5% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setZheng 78%from both hold chances
- Match, set by setZheng 88%set by set, before calibration; published 83% after tempering toward 50%
Conditions
- AgeHussey 29.5, Zheng 22.8small age adjustment to serve
- Surface switchHussey from grassgames projection only, not the win chance
- Days since last event Not in the modelHussey 134, Zheng 8counted from event start dates
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →
How we got this
Model vs market
- Model
- 55.3%
- First line
- –
- Latest
- 49.9%
Decimal odds 1.83 / 1.84, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Model vs market record →
Head to head
| Wendelken | Shelbayh | |
|---|---|---|
| Serve pts won, hard% | 58.5319th of 475 | 58.2335th of 475 |
| Return pts won, hard% | 35.590th of 475 | 34.2164th of 475 |
| Hard rating% pts vs avg | 47.00208th of 475 | 46.19261st of 475 |
| All-surface rating% pts vs avg | 46.71239th of 570 | 45.82297th of 570 |
| Wins, last 10 | 3 | 5 |
| Matches, 12 months | 43 | 46 |
| Matches rated | 102 | 238 |
Serve and return
| Wendelken | Shelbayh | |
|---|---|---|
| Serve pts wonthis match, hard | 60.2% | 59.0% |
| Return pts won | 41.0% | 39.8% |
| Hold servechance to win a service game | 74.1% | 71.4% |
What moves this game
- SurfaceHardratings blend this surface with all surfaces
- FormatBest of 3
- LevelATP Challenger
- Chance to win a setWendelken 54%from both hold chances
- Match, set by setWendelken 57%set by set, before calibration; published 55% after tempering toward 50%
Conditions
- AgeShelbayh 23.0, Wendelken 24.9small age adjustment to serve
Model V4 · data as of · Sources: TennisMyLife (TML) match database, Jeff Sackmann ATP archive, tennisexplorer.com schedule. How the models work →