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.
St. Hilaire M
Daniel T
All stats and model conclusions
Model vs market
Glicko 1 / 2: 12.8% / 87.2%
Market 1 / 2: 8.7% / 91.3%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International ATP Challenger. Kvebek. Qualifying
Arseneault N
Schoolkate T
All stats and model conclusions
Model vs market
Glicko 1 / 2: 25.8% / 74.2%
Market 1 / 2: 23.5% / 76.5%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International ATP Challenger. Kvebek. Qualifying
Lajovic D
Rozin A
All stats and model conclusions
Model vs market
Glicko 1 / 2: 72.6% / 27.4%
Market 1 / 2: 74.0% / 26.0%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International ATP Challenger. Kvebek. Qualifying
Bolelli S / Vavassori A
Rinderknech A / Vacherot V
All stats and model conclusions
Model vs market
Glicko 1 / 2: 64.0% / 36.0%
Market 1 / 2: 64.5% / 35.5%
Favourite trap: no
Data completeness: 72%
Match context
Court:Lindner Femili Tennis Senter, Desyatyy court
Bookmaker coverage: 1×2 5 · total 0
Tournament: International ATP. Doubles. Cincinnati. Hard
Khachanov K / Rublev A
Arevalo M / Pavic M
All stats and model conclusions
Model vs market
Glicko 1 / 2: 28.9% / 71.1%
Market 1 / 2: 27.7% / 72.3%
Favourite trap: no
Data completeness: 72%
Match context
Court:Lindner Femili Tennis Senter. Chetvertyy court
Bookmaker coverage: 1×2 5 · total 0
Tournament: International ATP. Doubles. Cincinnati. Hard
Krajicek A / Mektic N
Cash R / Nakashima B
All stats and model conclusions
Model vs market
Glicko 1 / 2: 62.0% / 38.0%
Market 1 / 2: 63.7% / 36.3%
Favourite trap: no
Data completeness: 67%
Match context
Court:Lindner Femili Tennis Senter, Chetvertyy court
Bookmaker coverage: 1×2 6 · total 0
Tournament: International ATP. Doubles. Cincinnati. Hard
Piter K / Tjen J
Jiang Xinyu / Zhang Shuai
All stats and model conclusions
Model vs market
Glicko 1 / 2: 38.9% / 61.1%
Market 1 / 2: 37.9% / 62.1%
Favourite trap: no
Data completeness: 67%
Match context
Court:Lindner Femili Tennis Senter, Sedmoy court
Bookmaker coverage: 1×2 4 · total 0
Tournament: International WTA. Doubles. Cincinnati. Hard
Jovic I / McNally C
Tang Q / Xu Yifan
All stats and model conclusions
Model vs market
Glicko 1 / 2: 61.4% / 38.6%
Market 1 / 2: 63.0% / 37.0%
Favourite trap: no
Data completeness: 67%
Match context
Court:Lindner Femili Tennis Senter. Desyatyy court
Bookmaker coverage: 1×2 6 · total 0
Tournament: International WTA. Doubles. Cincinnati. Hard
Siniakova K / Townsend T
Jurak D / Wu Fang-Hsien
All stats and model conclusions
Model vs market
Glicko 1 / 2: 84.8% / 15.2%
Market 1 / 2: 88.8% / 11.3%
Favourite trap: no
Data completeness: 67%
Match context
Court:Lindner Femili Tennis Senter, Sedmoy court
Bookmaker coverage: 1×2 6 · total 0
Tournament: International WTA. Doubles. Cincinnati. Hard
Poullain L
Basing M
All stats and model conclusions
Model vs market
Glicko 1 / 2: 42.3% / 57.7%
Market 1 / 2: 40.4% / 59.7%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: ATP Challenger. Roehampton
Shnaider D
Chwalinska M
All stats and model conclusions
Model vs market
Glicko 1 / 2: 73.3% / 26.7%
Market 1 / 2: 75.3% / 24.7%
Favourite trap: no
Data completeness: 78%
Match context
Court:Lindner Femili Tennis Senter. Tretiy court
Bookmaker coverage: 1×2 5 · total 0
Tournament: WTA Cincinnati, USA Women Singles
Noskova L
Tauson C
All stats and model conclusions
Model vs market
Glicko 1 / 2: 67.4% / 32.6%
Market 1 / 2: 67.8% / 32.2%
Favourite trap: no
Data completeness: 72%
Match context
Court:Lindner Femili Tennis Senter. Kort chempionov
Bookmaker coverage: 1×2 7 · total 0
Tournament: WTA Cincinnati, USA Women Singles
Navarro, Emma
Pegula J
All stats and model conclusions
Model vs market
Glicko 1 / 2: 23.3% / 76.7%
Market 1 / 2: 21.1% / 79.0%
Favourite trap: no
Data completeness: 72%
Match context
Court:Lindner Femili Tennis Senter. Grandstend
Bookmaker coverage: 1×2 7 · total 0
Tournament: WTA Cincinnati, USA Women Singles
Cirstea S
Kalinskaya A
All stats and model conclusions
Model vs market
Glicko 1 / 2: 49.7% / 50.3%
Market 1 / 2: 50.7% / 49.3%
Favourite trap: no
Data completeness: 72%
Match context
Court:Lindner Femili Tennis Senter. Kort chempionov
Bookmaker coverage: 1×2 5 · total 0
Tournament: International WTA Cincinnati, USA Women Singles
Frech M
Rybakina E
All stats and model conclusions
Model vs market
Glicko 1 / 2: 18.6% / 81.4%
Market 1 / 2: 15.9% / 84.2%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 7 · total 0
Tournament: International WTA Cincinnati, USA Women Singles
Fery A
De Minaur A
All stats and model conclusions
Model vs market
Glicko 1 / 2: 25.8% / 74.2%
Market 1 / 2: 22.7% / 77.4%
Favourite trap: no
Data completeness: 72%
Match context
Court:Lindner Femili Tennis Senter. Grandstend
Bookmaker coverage: 1×2 7 · total 0
Tournament: ATP Cincinnati, USA Men Singles
Johns G
Legout T
All stats and model conclusions
Model vs market
Glicko 1 / 2: 30.3% / 69.7%
Market 1 / 2: 29.4% / 70.6%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International ATP Challenger. Kingston. Qualification
Miyoshi K
Pascual Ferra R
All stats and model conclusions
Model vs market
Glicko 1 / 2: 56.8% / 43.3%
Market 1 / 2: 56.9% / 43.1%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International ATP Challenger. Kingston. Qualification
Tobon M
Saraiva dos Santos P A
All stats and model conclusions
Model vs market
Glicko 1 / 2: 64.4% / 35.6%
Market 1 / 2: 66.9% / 33.1%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International ATP Challenger. Kingston. Qualification
Boyer T
Watt J
All stats and model conclusions
Model vs market
Glicko 1 / 2: 75.0% / 25.0%
Market 1 / 2: 77.5% / 22.5%
Favourite trap: no
Data completeness: 33%
Match context
Bookmaker coverage: 1×2 5 · total 0
Tournament: International Kvebek
Hijikata R
Mensik J
All stats and model conclusions
Model vs market
Glicko 1 / 2: 29.1% / 70.9%
Market 1 / 2: 26.8% / 73.2%
Favourite trap: no
Data completeness: 72%
Match context
Court:Lindner Femili Tennis Senter, Tretiy court
Bookmaker coverage: 1×2 5 · total 0
Tournament: International ATP Cincinnati, USA Men Singles
Jodar R
Tabilo A
All stats and model conclusions
Model vs market
Glicko 1 / 2: 67.3% / 32.7%
Market 1 / 2: 68.3% / 31.7%
Favourite trap: no
Data completeness: 72%
Match context
Court:Lindner Femili Tennis Senter. Stadium
Bookmaker coverage: 1×2 7 · total 0
Tournament: International ATP Cincinnati, USA Men Singles
Ymer E
Jubb P
All stats and model conclusions
Model vs market
Glicko 1 / 2: 53.5% / 46.5%
Market 1 / 2: 53.5% / 46.5%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: ATP Challenger Kingston, Jamaica Men Singles
Mayot H
Heide G
All stats and model conclusions
Model vs market
Glicko 1 / 2: 49.5% / 50.5%
Market 1 / 2: 49.1% / 50.9%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: ATP Challenger Kingston, Jamaica Men Singles
Martin D. (Kan)
Midon, Lautaro
All stats and model conclusions
Model vs market
Glicko 1 / 2: 23.8% / 76.2%
Market 1 / 2: 21.7% / 78.3%
Favourite trap: no
Data completeness: 33%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: ATP Challenger Kingston, Jamaica Men Singles
Sakellaridis S
Poling K
All stats and model conclusions
Model vs market
Glicko 1 / 2: 76.4% / 23.6%
Market 1 / 2: 80.1% / 19.9%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: Challenger Men - Singles: Quebec City (Canada) - Qualifying, hard
Buse I / Cobolli F
Doumbia S / Reboul F
All stats and model conclusions
Model vs market
Glicko 1 / 2: 34.8% / 65.2%
Market 1 / 2: 34.2% / 65.8%
Favourite trap: no
Data completeness: 47%
Match context
Court:Lindner Femili Tennis Senter, Desyatyy court
Bookmaker coverage: 1×2 4 · total 0
Tournament: ATP Cincinnati, USA Men Doubles
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.