WTA predictions 12 September 2026
WTA matches only: win probability, most likely set score and deciding-set chance for every singles match, from ratings built on 57,590 matches.
19Matches
3Tournaments
19Forecast
9,192Players rated
Strongest calls of the day
21:20WTA Sao Paulo, Brazil Women, SinglesR1Maria Florencia UrrutiaAnastasia Tikhonova0–2AI prediction41%Medium confidence59%ForecastTikhonova to win59%Full analysis 18:30GuadalajaraR1Carole Monnet2Julia Garcia00–2AI prediction36%Medium confidence64%ForecastGarcia to win64%Full analysis 19:10GuadalajaraR1Iryna Shymanovich2Ana Sofia Sanchez02–0AI prediction63%Medium confidence37%ForecastShymanovich to win63%Full analysis
All matches by tournament
WTA Guadalajara
16:00Alexandra PanovaKatrina Scott
240
662
Scott55%0–2›16:00Nadiia KichenokNicole Melichar-Martinez6472
3661
Kichenok53%2–0›16:00Sofiia BielinskaNao Hibino410
662
Hibino60%0–2›CancelledVarvara LepchenkoNicole Melichar-Martinez–
–
›17:25Mingge XuCaroline Dolehide040
662
Dolehide57%0–2›17:25Sara Sorribes TormoEna Koike762
520
Koike51%0–2›18:30Carole MonnetJulia Garcia762
520
Garcia64%0–2›19:10Iryna ShymanovichAna Sofia Sanchez762
520
Shymanovich63%2–0›19:25Lea MaKatarina Zavatska662
220
Lea52%2–0›WTA US Open, Women
WTA WTA Sao Paulo, Brazil Women, Singles
CancelledAlana SmithAnastasia Tikhonova
–
–
›18:10Xiaodi YouLuiza Fullana662
210
Fullana51%0–2›18:20Victoria BosioLizette Cabrera7662
5731
Bosio56%2–0›19:55Justina MikulskyteAntonia Vergara Rivera662
230
Mikulskyte54%2–0›21:00Ana CandiottoCadence Brace340
662
Brace56%0–2›21:20Maria Florencia UrrutiaAnastasia Tikhonova–
–
Tikhonova59%0–2›21:30Chloe PaquetMartina Capurro Taborda7162
5621
Taborda61%0–2›22:45Hayu KinoshitaVictoria Rodriguez6162
4621
Kinoshita56%2–0›23:10Whitney OsuigweFernanda Labrana662
300
Osuigwe50%2–0›
How these predictions are made
Every player carries a rating that moves after each match by how surprising the result was — beating a stronger opponent is worth more than beating a weaker one, and a win in an ATP or WTA draw counts for more than one in an ITF event. The win probability comes from the gap between two ratings, adjusted by their head-to-head record. The set score follows from that probability rather than being guessed separately. Where a player has played too few matches, or has never played at tour level, the rating is pulled back towards the average and the match is marked as thin data instead of being dressed up as a confident call. Doubles are excluded: the rating measures singles.
Every player carries a rating that moves after each match by how surprising the result was — beating a stronger opponent is worth more than beating a weaker one, and a win in an ATP or WTA draw counts for more than one in an ITF event. The win probability comes from the gap between two ratings, adjusted by their head-to-head record. The set score follows from that probability rather than being guessed separately. Where a player has played too few matches, or has never played at tour level, the rating is pulled back towards the average and the match is marked as thin data instead of being dressed up as a confident call. Doubles are excluded: the rating measures singles.