Tennis predictions for tomorrow 24 September 2026
AI tennis predictions for every singles match: who wins, the most likely set score and the chance of a deciding set, from player ratings built on 57,590 matches.
31Matches
6Tournaments
28Forecast
9,192Players rated
Strongest calls of the day
11:30HangzhouR6Zhizhen ZhangColeman Wong0–2AI prediction15%High confidence85%ForecastWong to win85%Full analysis 10:30SingaporeR5Tatiana ProzorovaAlexandra Eala0–2AI prediction17%High confidence83%ForecastEala to win83%Full analysis 08:30ChengduR6Juan Manuel CerundoloYi Zhou2–0AI prediction82%High confidence18%ForecastCerundolo to win82%Full analysis
All matches by tournament
ATP Chengdu
05:00James DuckworthLorenzo Sonego
–
–
Duckworth58%2–0›05:00Nuno BorgesCamilo Ugo Carabelli–
–
Borges65%2–0›05:00Tallon GriekspoorDenis Shapovalov–
–
Shapovalov57%0–2›06:10Juncheng ShangAdrian Mannarino–
–
Shang61%2–0›06:10Miomir KecmanovićNikoloz Basilashvili–
–
Basilashvili58%0–2›06:10Moise KouameAlexandre Muller–
–
Kouame60%2–0›07:20Aleksandr ShevchenkoHubert Hurkacz–
–
Hurkacz68%0–2›07:20Lloyd HarrisAleksandar Kovačević–
–
Harris77%2–0›08:00Martin Damm JrShintaro Mochizuki–
–
Jr52%2–0›08:30Juan Manuel CerundoloYi Zhou–
–
Cerundolo82%2–0›ATP Hangzhou
05:00Dane SweenyTaro Daniel
–
–
Sweeny80%2–0›05:00Sho ShimabukuroHugo Gaston–
–
Shimabukuro63%2–0›05:30Jaime FariaTerence Atmane–
–
Faria68%2–0›06:10Fábián MarozsánAlex Bolt–
–
Bolt64%0–2›06:10Rinky HijikataDalibor Svrčina–
–
Hijikata70%2–0›06:40Yunchaokete BuMichael Zheng–
–
Zheng70%0–2›07:20Mattia BellucciKamil Majchrzak–
–
Majchrzak51%0–2›07:50Jie CuiAdolfo Daniel Vallejo–
–
Vallejo57%0–2›08:30Fajing SunRoman Safiullin–
–
Safiullin67%0–2›11:30Zhizhen ZhangColeman Wong–
–
Wong85%0–2›ATP Hangzhou Doubles
07:20Arends S / Pel DReyes-Varela M A / Stalder R
–
–
DoublesWTA Seoul
03:00Anna BondarAlina Charaeva
–
–
Bondar52%2–0›03:00Yexin MaKimberly Birrell–
–
Birrell54%0–2›05:00Yeonwoo KuElena-Gabriela Ruse–
–
Ruse68%0–2›07:00Jelena OstapenkoTaylah Preston–
–
Ostapenko57%2–0›WTA Singapore
05:00Talia GibsonViktoria Morvayova
–
–
Gibson61%2–0›06:10Xinyu WangJoanna Garland–
–
Wang55%2–0›10:30Tatiana ProzorovaAlexandra Eala–
–
Eala83%0–2›11:40Maria SakkariNao Hibino–
–
Sakkari66%2–0›WTA Singapore Doubles
03:00Hunter S / Krawczyk DTang Q / Xu Y
–
–
Doubles07:00Costoulas S / Gibson TMladenovic K / Panova A
–
–
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.