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.
Rapagnetta D
Mazza M
All stats and model conclusions
Model vs market
Glicko 1 / 2: 47.8% / 52.2%
Market 1 / 2: 46.5% / 53.5%
Favourite trap: no
Data completeness: 33%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International World Tennis. Men. Italy. Doubles
Hipfl N./Oradini Dzh.
Beraldo L / Comino L
Katini N / Matta A
Baragiola Mordini T C / Penasa L
Barbic A / Hopfe F
Gavrielides L / Loosen T
Bolelli S / Vavassori A
Luz O / Matos R
All stats and model conclusions
Model vs market
Glicko 1 / 2: 44.4% / 55.6%
Market 1 / 2: 56.8% / 43.2%
Favourite trap: no
Data completeness: 44%
Match context
Bookmaker coverage: 1×2 1 · total 0
Tournament: ATP Cincinnati, USA Men Doubles
Nys H / Roger-Vasselin E
Doumbia S / Reboul F
All stats and model conclusions
Model vs market
Glicko 1 / 2: 52.9% / 47.1%
Market 1 / 2: 53.4% / 46.6%
Favourite trap: no
Data completeness: 61%
Match context
Court:Lindner Femili Tennis Senter, Tretiy court
Bookmaker coverage: 1×2 4 · total 0
Tournament: International ATP. Doubles. Cincinnati. Hard
De Jong J
Gaston H
All stats and model conclusions
Model vs market
Glicko 1 / 2: 59.3% / 40.7%
Market 1 / 2: 60.8% / 39.2%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: International ATP Challenger Quebec City, Canada Men Singles
Vales V
Photiades P
Zapp L
Saleh A
Akuginova A
Baules A
Klemens Tia
Loureiro M
All stats and model conclusions
Model vs market
Glicko 1 / 2: 32.1% / 67.9%
Market 1 / 2: 29.3% / 70.7%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: International UTR Pro. Women. Ist-Lansing
Barretto I
Syrtveit N
All stats and model conclusions
Model vs market
Glicko 1 / 2: 49.4% / 50.6%
Market 1 / 2: 50.0% / 50.0%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: International UTR Pro. Women. Ist-Lansing
Bejlek S
Keys M
All stats and model conclusions
Model vs market
Glicko 1 / 2: 36.1% / 63.9%
Market 1 / 2: 34.5% / 65.5%
Favourite trap: no
Data completeness: 61%
Match context
Court:Lindner Femili Tennis Senter, Stadium
Bookmaker coverage: 1×2 5 · total 0
Tournament: WTA Cincinnati, USA Women Singles
Exsted M
Aguilar Cardozo J
All stats and model conclusions
Model vs market
Glicko 1 / 2: 24.9% / 75.1%
Market 1 / 2: 23.1% / 77.0%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 5 · total 0
Tournament: International World Tennis. Men. Paraguay. Doubles
Villanueva G
Bobo D
All stats and model conclusions
Model vs market
Glicko 1 / 2: 83.7% / 16.3%
Market 1 / 2: 86.8% / 13.2%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: International World Tennis. Men. Paraguay. Doubles
Giamichelle S / Vergara del Puerto M A
Frutos Alonso A. A./Nunez Vera A. S.
Laron M
Barros V L
All stats and model conclusions
Model vs market
Glicko 1 / 2: 25.5% / 74.5%
Market 1 / 2: 23.2% / 76.8%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 5 · total 0
Tournament: International World Tennis. Women. Brazil
Fullana L./Souza M.
Ccuno R / Pereira R
Candiotto A / Mi Lan
Bohrer Martins C / Garcia Vidal L
Jovic I / McNally C
Bouzkova M / Noskova L
All stats and model conclusions
Model vs market
Glicko 1 / 2: 50.6% / 49.4%
Market 1 / 2: 50.3% / 49.7%
Favourite trap: no
Data completeness: 61%
Match context
Court:Lindner Femili Tennis Senter, Grandstend
Bookmaker coverage: 1×2 4 · total 0
Tournament: International WTA. Doubles. Cincinnati. Hard
Baltazor N
Mahjoob C
Fullerton M
Solheim F K
Lee Evan
Folkesson-Doudy N
All stats and model conclusions
Model vs market
Glicko 1 / 2: 48.9% / 51.1%
Market 1 / 2: 49.3% / 50.7%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: International UTR Pro. Men. East Lansing
Almasi A
Burnett E
All stats and model conclusions
Model vs market
Glicko 1 / 2: - / -
Market 1 / 2: - / -
Favourite trap: no
Data completeness: -
Match context
Bookmaker coverage: 1×2 0 · total 0
Tournament: International UTR Pro. Men. East Lansing
Wessels L
Marterer M. (Ger)
Bonzi B
Kwon Soon Woo
All stats and model conclusions
Model vs market
Glicko 1 / 2: 49.0% / 51.0%
Market 1 / 2: 48.3% / 51.7%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 2 · total 0
Tournament: ATP Challenger Quebec City, Canada Men Singles
Fritz T
Nakashima, Brandon
All stats and model conclusions
Model vs market
Glicko 1 / 2: 62.3% / 37.7%
Market 1 / 2: 63.0% / 37.0%
Favourite trap: no
Data completeness: 29%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: ATP Cincinnati, USA Men Singles
Fritz T
Nakashima B
All stats and model conclusions
Model vs market
Glicko 1 / 2: 61.5% / 38.5%
Market 1 / 2: 62.8% / 37.2%
Favourite trap: no
Data completeness: 78%
Match context
Court:Lindner Femili Tennis Senter, Stadium
Bookmaker coverage: 1×2 7 · total 0
Tournament: International ATP Cincinnati, USA Men Singles
Falck R / Suarez B
Kavchich B / Persell M
Royer V
Chidekh C
All stats and model conclusions
Model vs market
Glicko 1 / 2: 60.3% / 39.7%
Market 1 / 2: 61.3% / 38.7%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International ATP Challenger. Kingston. 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.