ATP Tennis predictions Sat, Sep 26
Win probabilities, expected games and total games for every ATP match. How it works →
6 matches on this slate · model went 4–2 · 152–82 last 30 days →
Games
Chengdu
Davidovich Fokina A.
Cerundolo J.
Cina F.
Hurkacz H.
Damm M.
Vacherot V.
Hangzhou
Halys Q.
Royer V.
Medvedev D.
Market
Model vs market
- Model
- 29.2%
- First line
- –
- Latest
- 40.7%
Decimal odds 2.32 / 1.59, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Record against the line →
Market
Model vs market
- Model
- 47.2%
- First line
- –
- Latest
- 44.8%
Decimal odds 2.11 / 1.71, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Record against the line →
Market
Model vs market
- Model
- 55.4%
- First line
- –
- Latest
- 47.0%
Decimal odds 2.01 / 1.78, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Record against the line →
Market
Model vs market
- Model
- 30.2%
- First line
- –
- Latest
- 32.6%
Decimal odds 2.91 / 1.41, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Record against the line →
Market
Model vs market
- Model
- 74.8%
- First line
- –
- Latest
- 75.4%
Decimal odds 1.25 / 3.83, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Record against the line →
Market
Model vs market
- Model
- 57.5%
- First line
- –
- Latest
- 51.6%
Decimal odds 1.83 / 1.95, bookmaker margin removed
- Latest
- Tennis Explorer odds when the prediction was made
Against closing lines in past seasons, these models showed no edge. Record against the line →