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.
Live win probability (market-implied) — how often it wins, not a profit forecast.
Markovits M
Kincses K
Nagy A
Miron T
Bednarczyk C
Eto N
Kisimov D
Juhas K
Zolotareva R
Encheva L
Wehnelt K
Siniakov D
Perelygina E
Karatancheva A
Hipfl N
Reitano S. (Ita)
All stats and model conclusions
Model vs market
Glicko 1 / 2: 72.5% / 27.5%
Market 1 / 2: 73.9% / 26.1%
Favourite trap: no
Data completeness: 44%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: International World Tennis. Men. Italy. Doubles
Michalski D
Agwi M
All stats and model conclusions
Model vs market
Glicko 1 / 2: 64.6% / 35.4%
Market 1 / 2: 67.0% / 33.0%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 5 · total 0
Tournament: International World Tennis. Men. Poland
Kravchenko G
Rechek D
All stats and model conclusions
Model vs market
Glicko 1 / 2: 67.4% / 32.6%
Market 1 / 2: 69.1% / 30.9%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 5 · total 0
Tournament: International Augsburg
Sanches-Martines B. (Ger)
Beckley A
All stats and model conclusions
Model vs market
Glicko 1 / 2: 53.4% / 46.6%
Market 1 / 2: 54.3% / 45.7%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International Augsburg
Yevseyev D
Basic M
All stats and model conclusions
Model vs market
Glicko 1 / 2: 55.1% / 44.9%
Market 1 / 2: 56.1% / 43.9%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International Augsburg
Brunold M
Kirkin E
All stats and model conclusions
Model vs market
Glicko 1 / 2: 69.3% / 30.7%
Market 1 / 2: 70.6% / 29.4%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 5 · total 0
Tournament: International Augsburg
Gavrielides L
Fuele M
All stats and model conclusions
Model vs market
Glicko 1 / 2: 57.2% / 42.8%
Market 1 / 2: 57.0% / 43.0%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: International Augsburg
Donald M W
Tabacco G
All stats and model conclusions
Model vs market
Glicko 1 / 2: 70.8% / 29.2%
Market 1 / 2: 71.6% / 28.4%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International Augsburg
Petkovic M
Iannaccone F
All stats and model conclusions
Model vs market
Glicko 1 / 2: 62.6% / 37.4%
Market 1 / 2: 63.3% / 36.7%
Favourite trap: no
Data completeness: 33%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: International Augsburg
Rahmani K. (Irn)
Krutykh O
All stats and model conclusions
Model vs market
Glicko 1 / 2: 26.6% / 73.4%
Market 1 / 2: 24.4% / 75.6%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: International Augsburg
Marterer M
Hassan B
All stats and model conclusions
Model vs market
Glicko 1 / 2: 46.2% / 53.8%
Market 1 / 2: 46.2% / 53.8%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: International Augsburg
Obradovic A
Mikaca S
Stankovic A
Petrovic D
Velikova D
Lewis M
Sun Xinran
Mladenovich N
Maric D
Kostova A. (Bol)
Masiianskaia M
Hrabavets U
Kokkinis T
Rasim M
Emshanova M
Torres Murcia M C
Giaccio J. (Isp)
Kardava Z. (Gru)
All stats and model conclusions
Model vs market
Glicko 1 / 2: 55.4% / 44.6%
Market 1 / 2: 54.6% / 45.4%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 3 · total 0
Tournament: ITF Women - Singles: W15 Logrono (Spain), Hard
Daems J
Steiner V
All stats and model conclusions
Model vs market
Glicko 1 / 2: 30.4% / 69.6%
Market 1 / 2: 28.7% / 71.3%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International World Tennis. Women. Germany. Doubles
Sanches-Khover K / Vives-Markos P
Blanchar A / Garcia Mestre J
Handel T
Nagel A
All stats and model conclusions
Model vs market
Glicko 1 / 2: 40.6% / 59.4%
Market 1 / 2: 39.5% / 60.5%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International World Tennis. Men. Germany. Doubles
Loge J
Faucon R
All stats and model conclusions
Model vs market
Glicko 1 / 2: 69.4% / 30.6%
Market 1 / 2: 70.1% / 29.9%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 5 · total 0
Tournament: International World Tennis. Men. Germany. Doubles
Zakaria F
Gautier A
All stats and model conclusions
Model vs market
Glicko 1 / 2: 53.5% / 46.5%
Market 1 / 2: 52.9% / 47.1%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International ATP Challenger Roehampton, Great Britain Men Singles
Claeys L
Andrienko M
All stats and model conclusions
Model vs market
Glicko 1 / 2: 54.8% / 45.2%
Market 1 / 2: 55.4% / 44.7%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International World Tennis. Women. Belgium
Herbert P-H
Vandecasteele Q
All stats and model conclusions
Model vs market
Glicko 1 / 2: 58.5% / 41.5%
Market 1 / 2: 59.4% / 40.6%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 3 · total 0
Tournament: ATP - Singles: Uinston-Salem (USA) - Qualification, Hard
Fullana L
Bohrer Martins C
All stats and model conclusions
Model vs market
Glicko 1 / 2: 65.5% / 34.5%
Market 1 / 2: 66.5% / 33.5%
Favourite trap: no
Data completeness: 44%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: International World Tennis. Women. Brazil
Ovcharenko E
Velaga E
All stats and model conclusions
Model vs market
Glicko 1 / 2: 80.3% / 19.7%
Market 1 / 2: 83.1% / 16.9%
Favourite trap: no
Data completeness: 33%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: International WTA 125K. Filadelfiya. Qualification
Arseneault A
Osborne A
All stats and model conclusions
Model vs market
Glicko 1 / 2: 74.9% / 25.1%
Market 1 / 2: 77.4% / 22.6%
Favourite trap: no
Data completeness: 33%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International WTA 125K. Filadelfiya. Qualification
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.