Matchboard
AI tennis predictions: professional match breakdown
The page gathers the upcoming matches of the selected sport, model probabilities, odds, results and AI breakdowns in a single match center.
Frech M
Li A
All stats and model conclusions
Model vs market
Glicko 1 / 2: 36.8% / 63.2%
Market 1 / 2: 34.9% / 65.1%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: WTA. Washington. Hard
Potapova A
Williams V
All stats and model conclusions
Model vs market
Glicko 1 / 2: 80.8% / 19.2%
Market 1 / 2: 83.2% / 16.8%
Favourite trap: no
Data completeness: 67%
Match context
Court:Tennisnyy Central im. Uilyama Fittsdzheralda. Stadium
Bookmaker coverage: 1×2 3 · total 0
Tournament: WTA. Washington. Hard
Starodubtseva Y
Stephens S
All stats and model conclusions
Model vs market
Glicko 1 / 2: 64.0% / 36.0%
Market 1 / 2: 65.8% / 34.2%
Favourite trap: no
Data completeness: 72%
Match context
Court:Leftvich Tennis Senter. Kort 1
Bookmaker coverage: 1×2 3 · total 0
Tournament: WTA - Singles: Memphis 🇺🇸, hard
Vidmanova D
Bassols Ribera M
All stats and model conclusions
Model vs market
Glicko 1 / 2: 63.6% / 36.4%
Market 1 / 2: 64.2% / 35.8%
Favourite trap: no
Data completeness: 74%
Match context
Court:Leftvich Tennis Senter. Kort 3
Bookmaker coverage: 1×2 4 · total 0
Tournament: WTA - Singles: Memphis 🇺🇸, hard
Stoiana M
Stearns P
All stats and model conclusions
Model vs market
Glicko 1 / 2: 40.1% / 59.9%
Market 1 / 2: 40.0% / 60.1%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 3 · total 0
Tournament: WTA - Singles: Memphis 🇺🇸, hard
Ma YeXin
Birrell K
All stats and model conclusions
Model vs market
Glicko 1 / 2: 24.1% / 75.9%
Market 1 / 2: 20.7% / 79.3%
Favourite trap: no
Data completeness: 72%
Match context
Court:Leftvich Tennis Senter. Kort 2
Bookmaker coverage: 1×2 4 · total 0
Tournament: WTA - Singles: Memphis 🇺🇸, hard
Zarazua R
Kessler M
All stats and model conclusions
Model vs market
Glicko 1 / 2: 29.2% / 70.8%
Market 1 / 2: 26.2% / 73.8%
Favourite trap: no
Data completeness: 72%
Match context
Court:Leftvich Tennis Senter. Kort 1
Bookmaker coverage: 1×2 3 · total 0
Tournament: WTA - Singles: Memphis 🇺🇸, hard
De Minaur A
Tsitsipas S
All stats and model conclusions
Model vs market
Glicko 1 / 2: 55.2% / 44.8%
Market 1 / 2: 55.3% / 44.7%
Favourite trap: no
Data completeness: 72%
Match context
Court:Tennisnyy Central im. Uilyama Fittsdzheralda. Stadium
Bookmaker coverage: 1×2 4 · total 0
Tournament: ATP. Washington. Tournament outright
Sekulic P
Chidekh C
All stats and model conclusions
Model vs market
Glicko 1 / 2: 30.1% / 69.9%
Market 1 / 2: 29.0% / 71.0%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 2 · total 0
Tournament: ATP Challenger. Vancouver
Holmgren A
Grenier H
All stats and model conclusions
Model vs market
Glicko 1 / 2: 66.7% / 33.3%
Market 1 / 2: 67.5% / 32.5%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 3 · total 0
Tournament: ATP Challenger. Vancouver
Pinnington Jones J
Samuel T
All stats and model conclusions
Model vs market
Glicko 1 / 2: 37.0% / 63.0%
Market 1 / 2: 36.8% / 63.3%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 3 · total 0
Tournament: ATP Challenger. Vancouver
Hsu Yu Hsiou
Mmoh M
All stats and model conclusions
Model vs market
Glicko 1 / 2: 47.5% / 52.5%
Market 1 / 2: 46.6% / 53.4%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: ATP Challenger. Vancouver
Wendelken H
Cassone M
All stats and model conclusions
Model vs market
Glicko 1 / 2: 44.1% / 55.9%
Market 1 / 2: 42.1% / 57.9%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 3 · total 0
Tournament: ATP Challenger. Vancouver
Mochizuki S
Broom C
All stats and model conclusions
Model vs market
Glicko 1 / 2: 59.2% / 40.8%
Market 1 / 2: 59.7% / 40.3%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 2 · total 0
Tournament: ATP Challenger. Vancouver
Hon P
Schoppe E. 🇺🇸
All stats and model conclusions
Model vs market
Glicko 1 / 2: 70.6% / 29.4%
Market 1 / 2: 74.1% / 25.9%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 3 · total 0
Tournament: WTA 125K. Vancouver
Jones E
Zhao C
All stats and model conclusions
Model vs market
Glicko 1 / 2: 79.8% / 20.2%
Market 1 / 2: 83.6% / 16.4%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 3 · total 0
Tournament: WTA 125K. Vancouver
Uchijima M
Kuramochi M
All stats and model conclusions
Model vs market
Glicko 1 / 2: 72.9% / 27.1%
Market 1 / 2: 75.2% / 24.8%
Favourite trap: no
Data completeness: 33%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International WTA 125K. Vankuver
Hon P
Schoppe E
All stats and model conclusions
Model vs market
Glicko 1 / 2: 71.4% / 28.6%
Market 1 / 2: 74.0% / 26.0%
Favourite trap: no
Data completeness: 33%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International WTA 125K. Vankuver
Kulevich G./Myers E.
Reed L./Shefbauer M.
All stats and model conclusions
Model vs market
Glicko 1 / 2: 30.1% / 69.9%
Market 1 / 2: 27.5% / 72.5%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 2 · total 0
Tournament: ITF Women - Doubles: W75 Lexington, KY 🇺🇸, hard
Doumbia S / Reboul F
Romboli F./Smit Dzh.
All stats and model conclusions
Model vs market
Glicko 1 / 2: 71.0% / 29.0%
Market 1 / 2: 71.9% / 28.1%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 3 · total 0
Tournament: ATP. Washington. Doubles
Kyrgios N / Tiafoe F
Cabral F / Tracy J
All stats and model conclusions
Model vs market
Glicko 1 / 2: 45.0% / 55.0%
Market 1 / 2: 44.2% / 55.8%
Favourite trap: no
Data completeness: 33%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: ATP. Washington. Doubles
Bowers T./Okonkwo O.
McNally K./Patel S.
All stats and model conclusions
Model vs market
Glicko 1 / 2: 82.4% / 17.6%
Market 1 / 2: 85.8% / 14.3%
Favourite trap: no
Data completeness: 18%
Match context
Bookmaker coverage: 1×2 2 · total 0
Tournament: ITF Men - Doubles: M25 Edwardsville, IL 🇺🇸, hard
Corwin O./Haddorff T.
Antrop Dzh./Zamora N.
All stats and model conclusions
Model vs market
Glicko 1 / 2: 44.9% / 55.1%
Market 1 / 2: 13.8% / 86.2%
Favourite trap: no
Data completeness: 18%
Match context
Bookmaker coverage: 1×2 1 · total 0
Tournament: ITF Men - Doubles: M25 Edwardsville, IL 🇺🇸, hard
Cho I-Hsuan / Cho Yi Tsen
Kichenok L / Kichenok N
All stats and model conclusions
Model vs market
Glicko 1 / 2: 42.1% / 57.9%
Market 1 / 2: 40.9% / 59.1%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: WTA. Memphis. Doubles
Dellavedova M
Takizawa T. 🇦🇺
All stats and model conclusions
Model vs market
Glicko 1 / 2: 63.0% / 37.0%
Market 1 / 2: 84.9% / 15.1%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 1 · total 0
Tournament: ITF Men - Singles: M15 Brisbane 2 (Australia), hard
Ibraimi Y. 🇦🇺
Markovina D
All stats and model conclusions
Model vs market
Glicko 1 / 2: 31.0% / 69.0%
Market 1 / 2: 29.9% / 70.1%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 3 · total 0
Tournament: ITF Men - Singles: M15 Brisbane 2 (Australia), hard
Jovanovski D
Atkinson K. (Nzl)
All stats and model conclusions
Model vs market
Glicko 1 / 2: 71.3% / 28.7%
Market 1 / 2: 72.7% / 27.3%
Favourite trap: no
Data completeness: 18%
Match context
Bookmaker coverage: 1×2 3 · total 0
Tournament: ITF Men - Singles: M15 Brisbane 2 (Australia), hard
Dalla P. A. 🇦🇺
Gilkhini R. 🇦🇺
All stats and model conclusions
Model vs market
Glicko 1 / 2: 19.6% / 80.4%
Market 1 / 2: 15.9% / 84.1%
Favourite trap: no
Data completeness: 18%
Match context
Bookmaker coverage: 1×2 2 · total 0
Tournament: World Tennis. Women. Australia
Shah M. 🇮🇳
Khan L
All stats and model conclusions
Model vs market
Glicko 1 / 2: 19.7% / 80.3%
Market 1 / 2: 15.2% / 84.8%
Favourite trap: no
Data completeness: 18%
Match context
Bookmaker coverage: 1×2 3 · total 0
Tournament: World Tennis. Women. Australia
Arakawa N
Alame Ri. 🇦🇺
All stats and model conclusions
Model vs market
Glicko 1 / 2: 61.0% / 39.0%
Market 1 / 2: 60.7% / 39.3%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 3 · total 0
Tournament: World Tennis. Women. Australia
Analytics
Why are PropickAI tennis predictions effective?
Tennis is a sport of individual matchups, so the model considers more than just player ranking. It factors in court surface, form in recent tournaments, head-to-head records, serve and return quality, draw density and possible fatigue. AI tennis predictions help you see where ATP and WTA statistics match the market line and where there is a discrepancy.