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.
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
Fullerton M
Solheim F K
Corwin F
Folkesson-Doudy N
Almasi A
Burnett E
All stats and model conclusions
Model vs market
Glicko 1 / 2: 51.1% / 48.9%
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. Men. East Lansing
Bonzi B
Kwon Soon Woo
All stats and model conclusions
Model vs market
Glicko 1 / 2: 48.9% / 51.1%
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
Daniel T
Fearnley J
All stats and model conclusions
Model vs market
Glicko 1 / 2: 37.1% / 62.9%
Market 1 / 2: 34.8% / 65.2%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: ATP Challenger Quebec City, Canada Men Singles
Jovic I / McNally C
Bouzkova M / Noskova L
All stats and model conclusions
Model vs market
Glicko 1 / 2: 50.8% / 49.2%
Market 1 / 2: 50.6% / 49.4%
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
Candiotto A / Mi Lan
Bohrer Martins C / Garcia Vidal L
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
Musetti L
Tiafo F. (Ssha)
All stats and model conclusions
Model vs market
Glicko 1 / 2: 51.9% / 48.1%
Market 1 / 2: 52.0% / 48.0%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 5 · total 0
Tournament: ATP Cincinnati, USA Men Singles
Fritz T
Nakashima B
All stats and model conclusions
Model vs market
Glicko 1 / 2: 60.8% / 39.2%
Market 1 / 2: 62.0% / 38.0%
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
Musetti L
Tiafoe F
All stats and model conclusions
Model vs market
Glicko 1 / 2: 52.4% / 47.6%
Market 1 / 2: 51.6% / 48.4%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · 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
Martinez P
Glinka D
All stats and model conclusions
Model vs market
Glicko 1 / 2: 52.1% / 47.9%
Market 1 / 2: 52.2% / 47.8%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: International ATP Challenger. Kingston. Qualification
Bergs Z
Sakellaridis S
All stats and model conclusions
Model vs market
Glicko 1 / 2: 66.2% / 33.8%
Market 1 / 2: 68.1% / 31.9%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: International ATP Challenger Quebec City, Canada Men Singles
Safiullin R. (Mir)
Hurkacz H
All stats and model conclusions
Model vs market
Glicko 1 / 2: 36.4% / 63.6%
Market 1 / 2: 34.4% / 65.6%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: International ATP Challenger Cancun, Mexico Men Singles
Echargui M
Kouame M
All stats and model conclusions
Model vs market
Glicko 1 / 2: 35.0% / 65.0%
Market 1 / 2: 33.1% / 66.9%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International ATP Challenger Cancun, Mexico Men Singles
Kopriva V
Harris L
All stats and model conclusions
Model vs market
Glicko 1 / 2: 44.2% / 55.8%
Market 1 / 2: 44.2% / 55.8%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 5 · total 0
Tournament: ATP Challenger Cancun, Mexico Men Singles
Braund A
Shtengelov A
Ito Kuma
Wensley S
Tripathi E
Papach T-E
Donski A./Rai A.
Lammons N / Withrow J
All stats and model conclusions
Model vs market
Glicko 1 / 2: 32.5% / 67.5%
Market 1 / 2: 29.6% / 70.5%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 3 · total 0
Tournament: International ATP Challenger. Quebec City. Doubles
Steili Dzh
Cham E
Stevens Z
Jones Scott
Wan I Wen
Tran E
Gauff C
Kostyuk, Marta
All stats and model conclusions
Model vs market
Glicko 1 / 2: 55.6% / 44.4%
Market 1 / 2: 55.8% / 44.2%
Favourite trap: no
Data completeness: 72%
Match context
Court:Lindner Femili Tennis Senter.
Bookmaker coverage: 1×2 7 · total 0
Tournament: WTA Cincinnati, USA Women Singles
Baez S
Wong C
All stats and model conclusions
Model vs market
Glicko 1 / 2: 55.5% / 44.5%
Market 1 / 2: 56.3% / 43.7%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: ATP Challenger Cancun, Mexico 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.