Tennis predictions 9 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.
11Matches
1Tournaments
6Forecast
9,192Players rated
Strongest calls of the day
23:30US Open, MenR27Alexander ZverevBotic Van de Zandschulp3–0AI prediction89%High confidence11%ForecastZverev to win89%Full analysis 15:30US Open, WomenR27Qinwen Zheng1Elena Rybakina20–2AI prediction10%High confidence90%ForecastRybakina to win90%Full analysis 00:20US Open, WomenR27Jessica Pegula2Emma Navarro12–0AI prediction79%High confidence21%ForecastPegula to win79%Full analysis
All matches by tournament
WTA US Open, Women
00:20Jessica PegulaEmma Navarro
3662
6431
Pegula79%2–0›03:05Ben SheltonCarlos Alcaraz66613
71362
Alcaraz64%1–3›15:30Qinwen ZhengElena Rybakina6141
3662
Rybakina90%0–2›18:15Mirra AndreevaCoco Gauff6621
2762
Gauff70%0–2›20:05Siniakova K / Townsend TMertens E / Shnaider D
21:05Karen KhachanovAlexander Blockx672
060
Doubles6732
2520
Blockx60%0–2›22:00Krawietz K / Puetz TArevalo M / Pavic M
6672
7461
Doubles22:10Ram R / Salisbury JGranollers M / Zeballos H
662
440
Doubles22:10Krueger A / Montgomery RDabrowski G / Stefani L
4672
6461
Doubles23:10Heliovaara H / Patten HAndreozzi G / Guinard M
23:30Alexander ZverevBotic Van de Zandschulp6762
7621
Doubles–
–
Zverev89%3–0›
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.