The Forecast Card

WTA Tennis predictions Wed, Nov 4

Win probabilities, expected games and total games for every WTA match. Methodology →

8 matches on this slate · 88–48 since Oct 20 (model V2) →

Power rankings: every team's model rating →

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Updated 42m ago

Chennai WTA

VJ #135 Vandromme
45.4% 9.8
#84 Montgomery
54.6% 11.3
Hard Best of 3
Projected total games 21.1
Goes to a third set 38.0%
MontgomeryModelMarket
Win 54.6% 58.9%

Biggest factor: Serve edge · Montgomery

#96 Kudermetova
63.9% 11.6
#165 Selekhmeteva
36.1% 9.1
Hard Best of 3
Projected total games 20.7
Goes to a third set 36.6%
KudermetovaModelMarket
Win 63.9% 57.9%

Biggest factor: Serve edge · Kudermetova

#125 Garland
40.3% 9.4
TJ #66 Tjen
59.7% 11.9
Hard Best of 3
Projected total games 21.3
Goes to a third set 38.4%
TjenModelMarket
Win 59.7% 67.7%

Biggest factor: Serve edge · Tjen

RM Rajeshwaran Revathi
41.6% 9.2
FW #307 Falkowska
58.4% 11.7
Hard Best of 3
Projected total games 20.9
Goes to a third set 37.7%
FalkowskaModelMarket
Win 58.4% 60.4%

Biggest factor: Return edge · Falkowska

Hong Kong WTA

#63 Charaeva
60.9% 11.6
#129 Ruzic
39.1% 9.1
Hard Best of 3
Projected total games 20.7
Goes to a third set 37.0%
CharaevaModelMarket
Win 60.9% 47.9%

Biggest factor: Return edge · Charaeva

#59 Boulter
57.5% 11.2
#101 Liu
42.5% 9.7
Hard Best of 3
Projected total games 20.9
Goes to a third set 37.6%
BoulterModelMarket
Win 57.5% 57.7%

Biggest factor: Return edge · Boulter

#49 Sasnovich
59.6% 11.7
#93 Gibson
40.4% 9.2
Hard Best of 3
Projected total games 20.9
Goes to a third set 37.5%
SasnovichModelMarket
Win 59.6% 62.0%

Biggest factor: Return edge · Sasnovich

#35 Sakkari
60.9% 11.7
#60 Joint
39.1% 9.2
Hard Best of 3
Projected total games 20.9
Goes to a third set 37.3%
SakkariModelMarket
Win 60.9% 63.4%

Biggest factor: Serve edge · Sakkari