WTA predictions 17 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.
20Matches
3Tournaments
11Forecast
9,192Players rated
Strongest calls of the day
20:20GuadalajaraR27Magdalena Frech0Iva Jović20–2AI prediction14%High confidence86%ForecastJović to win86%Full analysis 00:35GuadalajaraR5Kayla Day1Liudmila Samsonova20–2AI prediction26%High confidence74%ForecastSamsonova to win74%Full analysis 17:30WTA Sao Paulo, Brazil Women, SinglesR5Jazmin Ortenzi1Paula Badosa20–2AI prediction29%High confidence71%ForecastBadosa to win71%Full analysis
All matches by tournament
WTA Guadalajara
00:35Kayla DayLiudmila Samsonova
6661
7272
Samsonova74%0–2›19:00Cristina BucsaSara Bejlek662
040
Bejlek66%0–2›20:20Magdalena FrechIva Jović210
662
Jović86%0–2›21:40Bucsa C / Melichar-Martinez NKozyreva M / Lumsden M
23:55Marta KostyukLiudmila Samsonova762
620
Doubles6251
4672
Kostyuk63%2–0›WTA WTA Sao Paulo, Brazil Women, Singles
15:00Elina AvanesyanAlina Charaeva
230
662
Charaeva62%0–2›16:00Nauhany Vitoria Leme Da SilvaKaitlin Quevedo210
662
Quevedo81%0–2›16:10Suzan LamensSolana Sierra662
320
Sierra57%0–2›17:30Dominika SalkovaMary Stoiana610
762
Stoiana56%0–2›17:30Jazmin OrtenziPaula Badosa6221
4662
Badosa71%0–2›17:40Anna BlinkovaVendula Valdmannova662
300
Blinkova51%2–0›20:30Eva LysNadia Podoroska520
762
Podoroska57%0–2›WTA WTA Sao Paulo, Brazil Women Doubles
00:30Gamarra Martins I / Ortenzi JNavarro Oliva M F / Rodriguez V
662
030
Doubles14:00Dabrowski G / Stefani LPereira R / Souza M
662
010
Doubles14:10Candiotto A / Fullana LDang Y / You X
540
762
Doubles19:10McAdoo R / Osborne ABarros V L / Leme Da Silva N V
6661
37102
Doubles19:15Mikulskyte J / Smith AStrakhova V / Tikhonova A
660
772
Doubles21:20Gamarra Martins I / Ortenzi JRogers A / Zamarripa A
310
662
Doubles21:30Quevedo K / Salkova DRiera J / Sierra S
66102
3761
Doubles22:45Ovcharenko E / Pigossi LStoiana M / Valdmannova V
310
662
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.