WTA predictions 16 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.
29Matches
3Tournaments
18Forecast
9,192Players rated
Strongest calls of the day
23:00GuadalajaraR5Kayla DayLiudmila Samsonova0–2AI prediction26%High confidence74%ForecastSamsonova to win74%Full analysis 20:10WTA Sao Paulo, Brazil Women, SinglesR6Vendula Valdmannova2Laura Pigossi12–0AI prediction82%High confidence18%ForecastValdmannova to win82%Full analysis 22:50WTA Sao Paulo, Brazil Women, SinglesR6Justina Mikulskyte0Paula Badosa20–2AI prediction25%High confidence75%ForecastBadosa to win75%Full analysis
All matches by tournament
WTA Guadalajara
01:05Sloane StephensJanice Tjen
772
660
Stephens58%2–0›18:00Cavalle-Reimers Y / Salden LKobori M / Plipuech P
19:10Magdalena FrechCaroline Dolehide340
662
Doubles662
430
Frech52%2–0›19:30Harrison C / Hewitt DGleason Q / Piter K
20:45Zeynep SönmezIva Jović250
672
Doubles640
762
Jović73%0–2›23:00Kayla DayLiudmila Samsonova–
–
Samsonova74%0–2›23:00Marta KostyukTaylor Townsend–
–
Kostyuk73%2–0›23:25Bucsa C / Melichar-Martinez NDolehide C / Khromacheva I
662
220
DoublesWTA WTA Sao Paulo, Brazil Women, Singles
14:00Anastasia TikhonovaKaitlin Quevedo
020
662
Quevedo72%0–2›14:00Jessica Bouzas ManeiroDominika Salkova510
762
Salkova51%0–2›14:00Suzan LamensCarolina Alves3762
6621
Lamens57%2–0›CancelledWhitney OsuigweKaitlin Quevedo–
–
›15:25Anna BlinkovaCarol Young-suh Lee662
130
Blinkova54%2–0›15:40Mary StoianaClaire Liu672
350
Stoiana52%2–0›16:30Nauhany Vitoria Leme Da SilvaAstra Sharma5672
7451
Silva59%2–0›17:00Cadence BraceSolana Sierra4611
6362
Sierra69%0–2›17:10Eva LysGabriela Cé6572
1751
Cé59%0–2›18:00Jazmin OrtenziChloe Paquet662
320
Ortenzi71%2–0›19:50Darja SemenistajaTeodora Kostović410
662
Semenistaja53%2–0›20:10Vendula ValdmannovaLaura Pigossi2662
6111
Valdmannova82%2–0›22:50Justina MikulskytePaula Badosa320
662
Badosa75%0–2›WTA WTA Sao Paulo, Brazil Women Doubles
13:00Candiotto A / Fullana LDang Y / You X
–
–
Doubles13:00Dabrowski G / Stefani LPereira R / Souza M
–
–
Doubles13:00McAdoo R / Osborne ABarros V L / Leme Da Silva N V
–
–
Doubles13:00Mikulskyte J / Smith AStrakhova V / Tikhonova A
–
–
Doubles13:00Ovcharenko E / Pigossi LStoiana M / Valdmannova V
–
–
Doubles13:00Quevedo K / Salkova DRiera J / Sierra S
–
–
Doubles20:10Bayerlova M / Zimmermann KRogers A / Zamarripa A
530
762
Doubles21:50Gamarra Martins I / Ortenzi JNavarro Oliva M F / Rodriguez V
–
–
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.