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.
Andrienko M
Maquet M
All stats and model conclusions
Model vs market
Glicko 1 / 2: 21.2% / 78.8%
Market 1 / 2: 18.2% / 81.8%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International World Tennis. Women. Belgium
Panshina V./Zolotareva R.
Bara I M / Kulambayeva Z
Forcano I / Vervoort M
Sanches-Khover K / Vives-Markos P
Kovackova A / Kovackova J
Errero-Liniana A / Labutkova A
Petkovic M
Handel T
All stats and model conclusions
Model vs market
Glicko 1 / 2: 69.1% / 30.9%
Market 1 / 2: 71.1% / 28.9%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 5 · total 0
Tournament: ITF Men - Singles: M25 Ueberlingen (Germany), Clay
Dellien Velasco M A / Mena F
Nesterov P / Ovcharenko A
Paardekoper S / Van Sambek F
Hendrikx J / Muller R
Ayeni A / Poullain L
Khignett L / Uolters M
Geerts M / Martineau M
Echeverria J / Matusevich A
Comino L
Basile P
All stats and model conclusions
Model vs market
Glicko 1 / 2: 25.5% / 74.5%
Market 1 / 2: 22.2% / 77.8%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 5 · total 0
Tournament: World Tennis. Men. Italy
Martin Manzano J C
Oradini G
All stats and model conclusions
Model vs market
Glicko 1 / 2: 57.7% / 42.3%
Market 1 / 2: 56.0% / 44.0%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 1 · total 0
Tournament: World Tennis. Men. Italy
Hipfl N
Reitano S. (Ita)
All stats and model conclusions
Model vs market
Glicko 1 / 2: 70.8% / 29.2%
Market 1 / 2: 72.3% / 27.7%
Favourite trap: no
Data completeness: 33%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: International World Tennis. Men. Italy. Doubles
Crivei E
Mayoral C
All stats and model conclusions
Model vs market
Glicko 1 / 2: 34.9% / 65.1%
Market 1 / 2: 34.0% / 66.0%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: International UTR Pro. Men. Neshvill
Duran B
Ayllon Prado A
All stats and model conclusions
Model vs market
Glicko 1 / 2: 69.3% / 30.7%
Market 1 / 2: 71.2% / 28.8%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: International UTR Pro. Men. Neshvill
Popowich J P
Treacy A
Valdes-Guson Kh-P
Pinzon F
All stats and model conclusions
Model vs market
Glicko 1 / 2: 31.4% / 68.6%
Market 1 / 2: 29.1% / 70.9%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International UTR Pro. Men. Neshvill
Jacques H
Maioral A
Teramo D-K
Vasilescu L
Tsvetkovich A
Guth M
All stats and model conclusions
Model vs market
Glicko 1 / 2: 50.3% / 49.7%
Market 1 / 2: 49.3% / 50.7%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International World Tennis. Women. Switzerland. Qualification
Darderi L / Etcheverry T M
Granollers M / Zeballos H
All stats and model conclusions
Model vs market
Glicko 1 / 2: 30.0% / 70.0%
Market 1 / 2: 26.9% / 73.1%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: International ATP. Doubles. Cincinnati. Hard
Nys H / Roger-Vasselin E
Doumbia S / Reboul F
All stats and model conclusions
Model vs market
Glicko 1 / 2: 48.6% / 51.4%
Market 1 / 2: - / -
Favourite trap: no
Data completeness: 12%
Match context
Bookmaker coverage: 1×2 0 · total 0
Tournament: ATP Cincinnati, USA Men Doubles
Frantzen C / Haase R
Arribage T / Olivetti A
Fullana L
Souza M
All stats and model conclusions
Model vs market
Glicko 1 / 2: 74.6% / 25.4%
Market 1 / 2: 76.3% / 23.7%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 5 · total 0
Tournament: International World Tennis. Women. Brazil
Defalco J / Garcia J
Bensobas-Fernandes O / Koskel A-A
Magimai K
Kandhai N
Battle L
Corwin O
All stats and model conclusions
Model vs market
Glicko 1 / 2: 66.7% / 33.3%
Market 1 / 2: 67.9% / 32.1%
Favourite trap: no
Data completeness: 33%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International UTR Pro. Men. East Lansing
Weir L
Nishino N
Giustino L
Hassan B
All stats and model conclusions
Model vs market
Glicko 1 / 2: 55.9% / 44.1%
Market 1 / 2: 56.7% / 43.3%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International ATP Challenger Sion, Switzerland Men Singles
Grubor A. (Kan)
Bonelli E
All stats and model conclusions
Model vs market
Glicko 1 / 2: 49.1% / 50.9%
Market 1 / 2: 48.7% / 51.4%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 2 · total 0
Tournament: World Tennis. Women. Switzerland
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.