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.
Shepp, Anton
Ceban, Mark
All stats and model conclusions
Model vs market
Glicko 1 / 2: 56.0% / 44.0%
Market 1 / 2: 56.8% / 43.2%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: ATP Challenger. Roehampton
Langmo C
Boitan G A
All stats and model conclusions
Model vs market
Glicko 1 / 2: 54.8% / 45.2%
Market 1 / 2: 54.0% / 46.0%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: ATP Challenger. Roehampton
Radulov I
Monday, Johannus
All stats and model conclusions
Model vs market
Glicko 1 / 2: 26.1% / 73.9%
Market 1 / 2: 23.9% / 76.1%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: ATP Challenger. Roehampton
Hudd, Emile
Gray A
All stats and model conclusions
Model vs market
Glicko 1 / 2: 31.4% / 68.6%
Market 1 / 2: 28.9% / 71.1%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 3 · total 0
Tournament: ATP Challenger. Roehampton
Durasovic V
Dhamne, Manas
All stats and model conclusions
Model vs market
Glicko 1 / 2: 44.7% / 55.3%
Market 1 / 2: 43.9% / 56.1%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: ATP Challenger. Roehampton
Poullain L
Basing M
All stats and model conclusions
Model vs market
Glicko 1 / 2: 40.9% / 59.1%
Market 1 / 2: 38.8% / 61.2%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: ATP Challenger. Roehampton
Moller, Elmer
Ivanov Ivan
All stats and model conclusions
Model vs market
Glicko 1 / 2: 62.9% / 37.1%
Market 1 / 2: 64.8% / 35.2%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: ATP Challenger. Roehampton
Zakaria, Faris
Rybakov A
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: ATP Challenger. Roehampton
Martineau M
Maxted, Lui
All stats and model conclusions
Model vs market
Glicko 1 / 2: 63.8% / 36.2%
Market 1 / 2: 48.5% / 51.5%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 1 · total 0
Tournament: ATP Challenger. Roehampton
Shimizu Y
Matusevich A
All stats and model conclusions
Model vs market
Glicko 1 / 2: 44.0% / 56.0%
Market 1 / 2: 43.8% / 56.2%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 2 · total 0
Tournament: ATP Challenger. Roehampton
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.