WTA predictions 19 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.
24Matches
5Tournaments
21Forecast
9,192Players rated
Strongest calls of the day
10:00SeoulR1En-Shuo Liang0Sara Saito20–2AI prediction27%High confidence73%ForecastSaito to win73%Full analysis 02:00SeoulR1Alexandra Shubladze2Gaeul Jang02–0AI prediction72%High confidence28%ForecastShubladze to win72%Full analysis 16:00WTA Sao Paulo, Brazil Women, SinglesR28Kaitlin Quevedo2Anna Blinkova12–0AI prediction71%High confidence29%ForecastQuevedo to win71%Full analysis
All matches by tournament
WTA Guadalajara
00:50Liudmila SamsonovaPeyton Stearns
620
762
Samsonova55%2–0›20:30Bucsa C / Melichar-Martinez NKobori M / Plipuech P
23:00Peyton StearnsIva Jović65102
2751
Doubles420
662
Jović68%0–2›WTA Seoul
02:00Alexandra ShubladzeGaeul Jang
662
010
Shubladze72%2–0›02:05Haruka KajiDarya Astakhova2721
6662
Astakhova56%0–2›03:30Mai HontamaEunhye Lee0731
6562
Hontama60%2–0›CancelledTamara ZidanšekBoyoung Jeong–
–
›05:30Carol ZhaoYexin Ma300
662
Yexin78%0–2›06:00Miho KuramochiBoyoung Jeong6372
4661
Kuramochi51%2–0›06:45Xinxin YaoPriscilla Hon6772
7651
Xinxin58%2–0›09:00Alevtina IbragimovaRina Saigo662
320
Saigo55%0–2›10:00En-Shuo LiangSara Saito610
762
Saito73%0–2›WTA Singapore
03:10Anna-Lena FriedsamDesirae Krawczyk
662
340
Friedsam52%2–0›03:10Jiaqi WangAnastasia Kulikova450
672
Wang61%2–0›04:35Aoi ItoSofya Lansere662
440
Aoi50%2–0›05:00Nao HibinoKai Ning Chanya Ng662
010
Hibino60%2–0›06:00Joanna GarlandEllen Perez662
120
Garland63%2–0›06:40Nika RadišićViktoria Morvayova330
662
Morvayova68%0–2›07:20Eva Marie DesvignesKyoka Okamura630
762
Desvignes60%2–0›08:30Mei YamaguchiUlrikke Eikeri662
140
Eikeri56%0–2›WTA WTA Sao Paulo, Brazil Women, Singles
16:00Kaitlin QuevedoAnna Blinkova
6262
4641
Quevedo71%2–0›18:45Nadia PodoroskaPaula Badosa662
340
Badosa69%0–2›WTA WTA Sao Paulo, Brazil Women Doubles
18:10Rogers A / Zamarripa AStrakhova V / Tikhonova A
662
300
Doubles20:25Dabrowski G / Stefani LDang Y / You X
36112
6391
Doubles
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.