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.
Pascual Montalvo I./Sharabura K.
Peet F./Sarganella V. N.
All stats and model conclusions
Model vs market
Glicko 1 / 2: 71.2% / 28.8%
Market 1 / 2: 73.0% / 27.0%
Favourite trap: no
Data completeness: 18%
Match context
Bookmaker coverage: 1×2 2 · total 0
Tournament: ITF Women - Doubles: W15 Logrono (Spain), hard
Iancu A./Puiac A. L.
Breaz A./Todoni C. N.
All stats and model conclusions
Model vs market
Glicko 1 / 2: 38.3% / 61.7%
Market 1 / 2: 19.0% / 81.0%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 1 · total 0
Tournament: ITF Women - Doubles: W35 Bistrita (Romania), clay
Albot R
Bittoun Kouzmine C
All stats and model conclusions
Model vs market
Glicko 1 / 2: 51.6% / 48.4%
Market 1 / 2: 52.7% / 47.3%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: ATP Challenger. Roehampton
Moller, Elmer
Ivanov Ivan
All stats and model conclusions
Model vs market
Glicko 1 / 2: 66.1% / 33.9%
Market 1 / 2: 68.3% / 31.7%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: ATP Challenger. Roehampton
Echeverria J
Tarvet, Oliver
All stats and model conclusions
Model vs market
Glicko 1 / 2: 17.7% / 82.3%
Market 1 / 2: 15.1% / 84.9%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: International ATP Challenger Roehampton, Great Britain Men Singles
Kravchenko G
Von der Schulenburg J
All stats and model conclusions
Model vs market
Glicko 1 / 2: 65.1% / 34.9%
Market 1 / 2: 66.5% / 33.5%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: ATP Challenger Sion, Switzerland Men Singles
Blankano Zh. (Fra)
Estevez J
All stats and model conclusions
Model vs market
Glicko 1 / 2: 59.1% / 40.9%
Market 1 / 2: 59.4% / 40.7%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: ATP Challenger Sion, Switzerland Men Singles
Nikles J
Bernet, Henry
All stats and model conclusions
Model vs market
Glicko 1 / 2: 30.5% / 69.5%
Market 1 / 2: 28.8% / 71.2%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: ATP Challenger Sion, Switzerland Men Singles
Henning P./Lok K.
Pietri B / Scaglia M
All stats and model conclusions
Model vs market
Glicko 1 / 2: 67.4% / 32.6%
Market 1 / 2: 67.5% / 32.5%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 3 · total 0
Tournament: ITF Men - Doubles: M25 Idanha-a-Nova 2 (Portugal), hard
Mrva, Maxim
Fatic N
All stats and model conclusions
Model vs market
Glicko 1 / 2: 61.3% / 38.7%
Market 1 / 2: 62.8% / 37.3%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: ATP Challenger Prague, Czech Republic Men Singles
Heliovaara H / Patten H
Goransson A / Ruud C
All stats and model conclusions
Model vs market
Glicko 1 / 2: 77.1% / 22.9%
Market 1 / 2: 79.1% / 20.9%
Favourite trap: no
Data completeness: 29%
Match context
Bookmaker coverage: 1×2 5 · total 0
Tournament: ATP Cincinnati, USA Men Doubles
Paul T / Shelton B
Nys H / Roger-Vasselin E
All stats and model conclusions
Model vs market
Glicko 1 / 2: 45.5% / 54.5%
Market 1 / 2: 45.7% / 54.4%
Favourite trap: no
Data completeness: 67%
Match context
Court:Lindner Femili Tennis Senter.
Bookmaker coverage: 1×2 4 · total 0
Tournament: ATP Cincinnati, USA Men Doubles
Cabral F / Tracy J
Granollers M / Zeballos H
All stats and model conclusions
Model vs market
Glicko 1 / 2: 34.3% / 65.7%
Market 1 / 2: 33.1% / 66.9%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: ATP Cincinnati, USA Men Doubles
Melo M / Zverev A
Borges N / Cerundolo F
All stats and model conclusions
Model vs market
Glicko 1 / 2: 60.9% / 39.1%
Market 1 / 2: 62.3% / 37.7%
Favourite trap: no
Data completeness: 67%
Match context
Court:Lindner Femili Tennis Senter.
Bookmaker coverage: 1×2 2 · total 0
Tournament: International ATP. Doubles. Cincinnati. Hard
Bhambri Y / Venus M
Brooksby J / Svajda Z
All stats and model conclusions
Model vs market
Glicko 1 / 2: 69.2% / 30.8%
Market 1 / 2: 71.1% / 28.9%
Favourite trap: no
Data completeness: 67%
Match context
Court:Lindner Femili Tennis Senter.
Bookmaker coverage: 1×2 3 · total 0
Tournament: International ATP. Doubles. Cincinnati. Hard
Johnson L / Zielinski J
Nys H / Roger-Vasselin E
All stats and model conclusions
Model vs market
Glicko 1 / 2: 36.9% / 63.1%
Market 1 / 2: 35.5% / 64.5%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International ATP. Doubles. Cincinnati. Hard
Jans J./Uaitkhauz M.
Arias B./Karu I.
All stats and model conclusions
Model vs market
Glicko 1 / 2: 56.2% / 43.8%
Market 1 / 2: 55.9% / 44.1%
Favourite trap: no
Data completeness: 18%
Match context
Bookmaker coverage: 1×2 2 · total 0
Tournament: ATP Challenger Prague, Czech Republic Men Doubles
Aoyama S / Liang En Shuo
Routliffe E / Sutjiadi A
All stats and model conclusions
Model vs market
Glicko 1 / 2: 48.1% / 51.9%
Market 1 / 2: 48.0% / 52.0%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International WTA. Doubles. Cincinnati. Hard
Dhamne M./Perego Dzh.
Gray A / Rybakov A
All stats and model conclusions
Model vs market
Glicko 1 / 2: 52.4% / 47.6%
Market 1 / 2: 31.4% / 68.6%
Favourite trap: no
Data completeness: 33%
Match context
Bookmaker coverage: 1×2 1 · total 0
Tournament: International ATP Challenger. Roehampton. Doubles
Ayeni A / Poullain L
Boitan G A / Durasovic V
All stats and model conclusions
Model vs market
Glicko 1 / 2: 52.4% / 47.6%
Market 1 / 2: 52.7% / 47.3%
Favourite trap: no
Data completeness: 33%
Match context
Bookmaker coverage: 1×2 1 · total 0
Tournament: International ATP Challenger. Roehampton. Doubles
Glinka D
Bax F
All stats and model conclusions
Model vs market
Glicko 1 / 2: 59.6% / 40.4%
Market 1 / 2: 60.4% / 39.6%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: ATP Challenger Kingston, Jamaica Men Singles
Draxl L
Andrade, Andres
All stats and model conclusions
Model vs market
Glicko 1 / 2: 65.4% / 34.6%
Market 1 / 2: 66.4% / 33.6%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: ATP Challenger Kingston, Jamaica Men Singles
Prado Angelo J C
Ficovich J P
All stats and model conclusions
Model vs market
Glicko 1 / 2: 60.2% / 39.8%
Market 1 / 2: 59.7% / 40.4%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: ATP Challenger Kingston, Jamaica Men Singles
Royer V
Miguel L. A. (Bra)
All stats and model conclusions
Model vs market
Glicko 1 / 2: 80.1% / 19.9%
Market 1 / 2: 82.8% / 17.2%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 5 · total 0
Tournament: ATP Challenger Kingston, Jamaica Men Singles
Fonseca J
O'Connell C
All stats and model conclusions
Model vs market
Glicko 1 / 2: 77.1% / 22.9%
Market 1 / 2: 79.5% / 20.6%
Favourite trap: no
Data completeness: 72%
Match context
Court:Lindner Femili Tennis Senter.
Bookmaker coverage: 1×2 7 · total 0
Tournament: International ATP Cincinnati, USA Men Singles
Vasilesku A. (Rum)
Brockmann T. J. (Ger)
All stats and model conclusions
Model vs market
Glicko 1 / 2: 27.5% / 72.5%
Market 1 / 2: 25.8% / 74.2%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 2 · total 0
Tournament: ITF Women - Singles: W35 Erwitte (Germany), clay
Hipfl N./Oradini Dzh.
Catalano F./Cerelli G.
All stats and model conclusions
Model vs market
Glicko 1 / 2: 85.0% / 15.0%
Market 1 / 2: 88.3% / 11.7%
Favourite trap: no
Data completeness: 18%
Match context
Bookmaker coverage: 1×2 2 · total 0
Tournament: ITF Men - Doubles: M25 Lesa (Italy), clay
Kwon Soon Woo
Guerrieri A
All stats and model conclusions
Model vs market
Glicko 1 / 2: 71.2% / 28.8%
Market 1 / 2: 73.4% / 26.6%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International ATP Challenger Quebec City, Canada Men Singles
Watt J
Blanshe U
All stats and model conclusions
Model vs market
Glicko 1 / 2: 40.4% / 59.6%
Market 1 / 2: 38.5% / 61.5%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 3 · total 0
Tournament: International ATP Challenger Quebec City, Canada Men Singles
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.