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.
Liutarevich I / Reyes-Varela M A
Balaji N S / Chandrasekar A
Landaluce M
Bellucci M
Udvardy P
Vidmanova D
Timofeeva M
Rakhimova K
Carreno Busta P
Vallejo A D
All stats and model conclusions
Model vs market
Glicko 1 / 2: 54.8% / 45.2%
Market 1 / 2: 55.0% / 45.0%
Favourite trap: no
Data completeness: 61%
Match context
Court:Veyk Forest Tennis Senter, Center court
Bookmaker coverage: 1×2 4 · total 0
Tournament: International ATP. Uinston-Seylem
Hijikata R
Blanch Darwin
All stats and model conclusions
Model vs market
Glicko 1 / 2: 63.1% / 36.9%
Market 1 / 2: 64.0% / 36.0%
Favourite trap: no
Data completeness: 61%
Match context
Court:Veyk Forest Tennis Senter, Center court
Bookmaker coverage: 1×2 4 · total 0
Tournament: International ATP. Uinston-Seylem
Joint M
Putintseva Y
All stats and model conclusions
Model vs market
Glicko 1 / 2: 46.5% / 53.5%
Market 1 / 2: 45.6% / 54.4%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: WTA - Singles: Monterrey (Mexico) - Qualification, Hard
Bondar A
Liang En Shuo
All stats and model conclusions
Model vs market
Glicko 1 / 2: 70.4% / 29.6%
Market 1 / 2: 71.9% / 28.1%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: WTA - Singles: Monterrey (Mexico) - Qualification, Hard
Gauff C
Pegula J
All stats and model conclusions
Model vs market
Glicko 1 / 2: 58.0% / 42.0%
Market 1 / 2: 58.4% / 41.6%
Favourite trap: no
Data completeness: 67%
Match context
Court:Lindner Femili Tennis Senter, Stadium
Bookmaker coverage: 1×2 6 · total 0
Tournament: WTA Cincinnati, USA Women Singles
Piter K / Tjen J
Jiang Xinyu / Zhang Shuai
All stats and model conclusions
Model vs market
Glicko 1 / 2: 39.0% / 61.0%
Market 1 / 2: 38.6% / 61.4%
Favourite trap: no
Data completeness: 44%
Match context
Bookmaker coverage: 1×2 2 · total 0
Tournament: International WTA. Monterrey. Pary
Baez S
Hurkacz H
All stats and model conclusions
Model vs market
Glicko 1 / 2: 35.0% / 65.0%
Market 1 / 2: 33.0% / 67.0%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: International ATP Challenger Cancun, Mexico Men Singles
Ruzic A
Bartunkova N
All stats and model conclusions
Model vs market
Glicko 1 / 2: 32.8% / 67.2%
Market 1 / 2: 31.2% / 68.9%
Favourite trap: no
Data completeness: 61%
Match context
Court:Sonoma Klab, Grandstend
Bookmaker coverage: 1×2 5 · total 0
Tournament: WTA - Singles: Monterrey (Mexico), Hard
Tagger, Lilli
Starodubtseva Y
All stats and model conclusions
Model vs market
Glicko 1 / 2: 64.1% / 35.9%
Market 1 / 2: 63.9% / 36.1%
Favourite trap: no
Data completeness: 61%
Match context
Court:Sonoma Klab, Center court
Bookmaker coverage: 1×2 6 · total 0
Tournament: WTA - Singles: Monterrey (Mexico), Hard
Ichikawa T
Koyama H
Cho Seung Woo
Tanuma R
Matsuda Ryuki
Hou Chun-Chien
Koizumi N
Tamm K
Ogura K
Masabayashi T
Ho Chen Hui
Nakamura R
Sherif M
Oliynykova O
All stats and model conclusions
Model vs market
Glicko 1 / 2: 52.5% / 47.5%
Market 1 / 2: 51.5% / 48.6%
Favourite trap: no
Data completeness: 72%
Match context
Court:Sonoma Klab, Center court
Bookmaker coverage: 1×2 4 · total 0
Tournament: International WTA. Monterrey
Yevseyev D
Gulin S
All stats and model conclusions
Model vs market
Glicko 1 / 2: 36.2% / 63.8%
Market 1 / 2: 33.9% / 66.1%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 2 · total 0
Tournament: International Augsburg
Strombachs R
Wehnelt K
All stats and model conclusions
Model vs market
Glicko 1 / 2: 47.0% / 53.0%
Market 1 / 2: 45.4% / 54.6%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 2 · total 0
Tournament: International Augsburg
Lenders J
Cado Z
Zaytseva K
Radovanovic N
Ricci B
Ivanovic Gala
Perelygina E
Mikaca S
Cakarevic S
Walker B
Stankovic A
Velikova D
Kokkinis T
Petkovic Anna
Montes-De la Torre I
Paldanius O
All stats and model conclusions
Model vs market
Glicko 1 / 2: 71.6% / 28.4%
Market 1 / 2: 74.4% / 25.6%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International Rokhempton 2
Brunold M
Gavrielides L
All stats and model conclusions
Model vs market
Glicko 1 / 2: 67.1% / 32.9%
Market 1 / 2: 68.6% / 31.4%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: Challenger Men - Singles: Augsburg (Germany) - Qualification, Clay
Bonding, Oliver
Hurrion M
All stats and model conclusions
Model vs market
Glicko 1 / 2: 44.0% / 56.0%
Market 1 / 2: 43.8% / 56.3%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: Challenger Men - Singles: Roehampton 2 (United Kingdom) - Qualification, Hard
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.