WTA predictions 15 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.
32Matches
3Tournaments
21Forecast
9,192Players rated
Strongest calls of the day
23:50WTA Sao Paulo, Brazil Women, SinglesR6Whitney OsuigweKaitlin Quevedo0–2AI prediction17%High confidence83%ForecastQuevedo to win83%Full analysis 21:00WTA Sao Paulo, Brazil Women, SinglesR6Vendula ValdmannovaLaura Pigossi2–0AI prediction82%High confidence18%ForecastValdmannova to win82%Full analysis 23:15WTA Sao Paulo, Brazil Women, SinglesR6Justina MikulskytePaula Badosa0–2AI prediction25%High confidence75%ForecastBadosa to win75%Full analysis
All matches by tournament
WTA Guadalajara
00:25Elsa JacquemotLiudmila Samsonova
620
762
Samsonova82%0–2›01:10Kobori M / Plipuech PMuhammad A / Olmos G
16102
6331
Doubles18:05Kozyreva M / Lumsden MGuarachi A / Ninomiya M
19:05Cristina BucsaPanna Udvardy772
550
Doubles662
440
Bucsa57%2–0›19:50Harrison C / Hewitt DShymanovich I / Skoch M
20:45Alycia ParksSara Bejlek662
230
Doubles430
662
Bejlek81%0–2›22:00Bucsa C / Melichar-Martinez NCabezas Dominguez S E / Gomez Pezuela Cano M
23:15Diane ParryPeyton Stearns662
210
Doubles250
672
Stearns56%0–2›WTA WTA Sao Paulo, Brazil Women, Singles
CancelledLeylah FernandezHayu Kinoshita
–
–
›13:00Nauhany Vitoria Leme Da SilvaAstra Sharma–
–
Silva59%2–0›13:30Darja SemenistajaHayu Kinoshita762
540
Semenistaja74%2–0›13:30Lucrezia StefaniniNadia Podoroska340
662
Podoroska58%0–2›13:30Teodora KostovićVictoria Luiza Barros662
240
Kostović66%2–0›15:00Julia RieraElina Avanesyan240
662
Avanesyan58%0–2›15:00Xiaodi YouAlina Charaeva6631
3762
Charaeva67%0–2›16:00Eva LysGabriela Cé652–
172–
Cé59%0–2›17:20Cadence BraceSolana Sierra4–
4–
Sierra69%0–2›20:10Jazmin OrtenziChloe Paquet–
–
Ortenzi71%2–0›21:00Vendula ValdmannovaLaura Pigossi–
–
Valdmannova82%2–0›21:20Anna BlinkovaCarol Young-suh Lee–
–
Blinkova54%2–0›21:30Jessica Bouzas ManeiroDominika Salkova–
–
Salkova51%0–2›22:05Suzan LamensCarolina Alves–
–
Lamens57%2–0›22:40Mary StoianaClaire Liu–
–
Stoiana52%2–0›23:15Justina MikulskytePaula Badosa–
–
Badosa75%0–2›23:50Whitney OsuigweKaitlin Quevedo–
–
Quevedo83%0–2›WTA WTA Sao Paulo, Brazil Women Doubles
13:00Bayerlova M / Zimmermann KRogers A / Zamarripa A
–
–
Doubles13:00Candiotto A / Fullana LDang Y / You X
–
–
Doubles13:00Dabrowski G / Stefani LPereira R / Souza M
–
–
Doubles13:00Gamarra Martins I / Ortenzi JNavarro Oliva M F / Rodriguez V
–
–
Doubles13:00McAdoo R / Osborne ABarros V L / Leme Da Silva N V
–
–
Doubles13:00Mikulskyte J / Smith AStrakhova V / Tikhonova A
–
–
Doubles13:00Quevedo K / Salkova DRiera J / Sierra S
–
–
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.