Matchboard
Predictions for today's matches, results and stats
See sports match results, the schedule of upcoming games, live events, stats and PropickAI AI predictions.
Melbourne Tigers
Frankston Blues
Shinikova I
Du Pree B
All stats and model conclusions
Model vs market
Glicko 1 / 2: 26.5% / 73.5%
Market 1 / 2: 23.7% / 76.3%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: ITF Women - Singles: W75 Ourense (Spain), hard
Zhiyenbayeva S
Saigo R
All stats and model conclusions
Model vs market
Glicko 1 / 2: 45.7% / 54.3%
Market 1 / 2: 46.0% / 54.0%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: ITF Women - Singles: W75 Ourense (Spain), hard
Uyvari M
Filyar K
All stats and model conclusions
Model vs market
Glicko 1 / 2: 30.7% / 69.3%
Market 1 / 2: 27.8% / 72.2%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: International World Tennis. Men. Slovakia
Makk P
Hallquist Lithen J
All stats and model conclusions
Model vs market
Glicko 1 / 2: 72.5% / 27.5%
Market 1 / 2: 74.8% / 25.2%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: International World Tennis. Men. Slovakia
Ujvary M. 🇦🇹
Filar K
All stats and model conclusions
Model vs market
Glicko 1 / 2: 30.1% / 69.9%
Market 1 / 2: 27.7% / 72.4%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 3 · total 0
Tournament: ITF Men - Singles: M15 Poprad (Slovakia), clay
Kalina, Vit
Coats, Theo
All stats and model conclusions
Model vs market
Glicko 1 / 2: 60.9% / 39.1%
Market 1 / 2: 61.5% / 38.5%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International UTR PTT Hamburg Men 01, 9-12 Playoff
Samba S
Garsia-Gomes U
Soderqvist, Filip
Wassermann, Miko
All stats and model conclusions
Model vs market
Glicko 1 / 2: 76.6% / 23.4%
Market 1 / 2: 79.2% / 20.8%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International UTR PTT Hamburg Men 01, 9-12 Playoff
フェテク,イリーナ
Vasilesku A-G
All stats and model conclusions
Model vs market
Glicko 1 / 2: 30.4% / 69.6%
Market 1 / 2: 26.9% / 73.1%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International UTR PTT Hamburg Women 01, 17-20 Playoff
Frosch, Laima
Jandova, Nela
All stats and model conclusions
Model vs market
Glicko 1 / 2: 16.6% / 83.4%
Market 1 / 2: 12.7% / 87.3%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International UTR PTT Hamburg Women 01, 17-20 Playoff
Univer Melbourne
Bellarine
Norths Bears
Central Coast Crusaders
Akhuda V. 🇲🇦
Yazdani A. (Irn)
Comino L
Artnak B
All stats and model conclusions
Model vs market
Glicko 1 / 2: 25.0% / 75.0%
Market 1 / 2: 22.5% / 77.5%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: International World Tennis. Men. Serbia
Ahouda W
Yazdani A
All stats and model conclusions
Model vs market
Glicko 1 / 2: 62.7% / 37.3%
Market 1 / 2: 64.3% / 35.7%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: International World Tennis. Men. Serbia
Radulov I
Zielinski M
All stats and model conclusions
Model vs market
Glicko 1 / 2: 63.6% / 36.4%
Market 1 / 2: 64.4% / 35.6%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 3 · total 0
Tournament: International World Tennis. Men. Poland
Orlov V
Zielinski M
All stats and model conclusions
Model vs market
Glicko 1 / 2: 63.7% / 36.3%
Market 1 / 2: 63.8% / 36.3%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 5 · total 0
Tournament: ITF Men - Singles: M15 Bielsko Biala (Poland), clay
Salazar D
Beckley A
All stats and model conclusions
Model vs market
Glicko 1 / 2: 56.7% / 43.3%
Market 1 / 2: - / -
Favourite trap: no
Data completeness: 12%
Match context
Bookmaker coverage: 1×2 0 · total 0
Tournament: ITF Men - Singles: M15 Bielsko Biala (Poland), clay
Broom C
Maxted L. 🇬🇧
All stats and model conclusions
Model vs market
Glicko 1 / 2: 68.3% / 31.7%
Market 1 / 2: 69.6% / 30.4%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 3 · total 0
Tournament: ITF Men - Singles: M25 Roehampton (Velikobritaniya), hard
Dominko S./Godsik N.
Vuyich S./Walters M.
All stats and model conclusions
Model vs market
Glicko 1 / 2: 57.7% / 42.3%
Market 1 / 2: - / -
Favourite trap: no
Data completeness: 12%
Match context
Bookmaker coverage: 1×2 0 · total 0
Tournament: ITF Men - Doubles: M25 Roehampton (Velikobritaniya), hard
Black B./Okutoyi A.
Epplton E./McDonald E.
All stats and model conclusions
Model vs market
Glicko 1 / 2: 60.5% / 39.5%
Market 1 / 2: - / -
Favourite trap: no
Data completeness: 12%
Match context
Bookmaker coverage: 1×2 0 · total 0
Tournament: ITF Women - Doubles: W35 Roehampton (Velikobritaniya), hard
Gold Coast Rollers
Ipswich Force
Appleton E
McDonald E
All stats and model conclusions
Model vs market
Glicko 1 / 2: 44.5% / 55.5%
Market 1 / 2: 43.4% / 56.6%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: ITF Women - Singles: W35 Roehampton (Velikobritaniya), hard
Bozio G / Tenti F
Garbero F / Shabazi M
All stats and model conclusions
Model vs market
Glicko 1 / 2: 59.0% / 41.0%
Market 1 / 2: 59.7% / 40.3%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International World Tennis. Men. Romania
Dominko S / Gadsik N
Vuich S / Uolters M
All stats and model conclusions
Model vs market
Glicko 1 / 2: 47.0% / 53.0%
Market 1 / 2: 46.3% / 53.7%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 2 · total 0
Tournament: International World Tennis. Men. Velikobritaniya
Bass F / Jans J
カレンデル,アドミル / セーダルシク,ニーノ
All stats and model conclusions
Model vs market
Glicko 1 / 2: 45.4% / 54.6%
Market 1 / 2: 43.9% / 56.1%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International Hagen, Germany, Doubles
Hietaranta L
Gailis R
All stats and model conclusions
Model vs market
Glicko 1 / 2: 65.8% / 34.2%
Market 1 / 2: 68.2% / 31.8%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: World Tennis. Women. Finland
Wobker I
Laboutkova A
All stats and model conclusions
Model vs market
Glicko 1 / 2: 62.2% / 37.8%
Market 1 / 2: 62.7% / 37.3%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: ITF Women - Singles: W75 Leipzig (Germany), clay
Analytics
How to read the PropickAI match center
The PropickAI match center brings together the schedule, results, odds, stats and AI analytics across the key sports. On the page you can quickly filter events by sport, league, date and signal strength. This format is handy for finding today's match results and for assessing upcoming games: next to the cards you get the model data, the bookmaker market and a check of the predictions after the game ends.