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.
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
盖里里,安德里亚
丹尼爾·格林卡
All stats and model conclusions
Model vs market
Glicko 1 / 2: 55.9% / 44.1%
Market 1 / 2: 55.8% / 44.2%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 5 · total 0
Tournament: Grodzisk Mazowiecki, Poland
Ebeling Koning L
Basiletti N
All stats and model conclusions
Model vs market
Glicko 1 / 2: 31.3% / 68.7%
Market 1 / 2: 28.9% / 71.1%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 2 · total 0
Tournament: ITF Women - Singles: W75 Koksijde (Belgium), clay
Palicova B
Bertea E R
All stats and model conclusions
Model vs market
Glicko 1 / 2: 61.4% / 38.6%
Market 1 / 2: 62.4% / 37.6%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: ITF Women - Singles: W75 Koksijde (Belgium), clay
埃哈德,马蒂斯
施瓦茨勒, 约尔
All stats and model conclusions
Model vs market
Glicko 1 / 2: 44.4% / 55.6%
Market 1 / 2: 42.7% / 57.3%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 2 · total 0
Tournament: International Grodzisk Mazowiecki, Poland
Bekli A./Szczypka M.
Fondriest M./Keremedchiev N.
All stats and model conclusions
Model vs market
Glicko 1 / 2: 36.3% / 63.7%
Market 1 / 2: 34.9% / 65.1%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 3 · total 0
Tournament: ITF Men - Doubles: M15 Bielsko Biala (Poland), clay
Bekli A / Schipka M
Fondriest M / Keremedchiev N
All stats and model conclusions
Model vs market
Glicko 1 / 2: 36.7% / 63.3%
Market 1 / 2: 34.9% / 65.1%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International World Tennis. Men. Poland
Broom C
Maxted L
All stats and model conclusions
Model vs market
Glicko 1 / 2: 55.1% / 44.9%
Market 1 / 2: 70.8% / 29.2%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 1 · total 0
Tournament: International World Tennis. Men. Great Britain. Doubles
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
Hennemann C W
Burillo I
All stats and model conclusions
Model vs market
Glicko 1 / 2: 53.3% / 46.7%
Market 1 / 2: 54.4% / 45.6%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: ITF Women - Singles: W75 Leipzig (Germany), clay
Chazal M
Fix D
All stats and model conclusions
Model vs market
Glicko 1 / 2: 73.7% / 26.3%
Market 1 / 2: 75.8% / 24.3%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: ITF Men - Singles: M15 Frankfurt (Germany), clay
Dullinger V
Penzlin J
All stats and model conclusions
Model vs market
Glicko 1 / 2: 56.4% / 43.6%
Market 1 / 2: 57.4% / 42.6%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 2 · total 0
Tournament: ITF Men - Singles: M15 Frankfurt (Germany), clay
Kheytmanek A-Yu / Urbanova L
Blomkvist K / Kheynonen I
All stats and model conclusions
Model vs market
Glicko 1 / 2: 76.4% / 23.6%
Market 1 / 2: 79.1% / 20.9%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International World Tennis. Women. Finland
卡羅爾楊瑟·李
加布里埃拉, 安德里亚·克努森
All stats and model conclusions
Model vs market
Glicko 1 / 2: 63.3% / 36.7%
Market 1 / 2: 64.3% / 35.7%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 5 · total 0
Tournament: International Warsaw, Poland
安托万,吉博多
西马金, 伊利亚
All stats and model conclusions
Model vs market
Glicko 1 / 2: 42.6% / 57.4%
Market 1 / 2: 41.1% / 58.9%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 3 · total 0
Tournament: Istanbul 2, Turkiye
凯姆,杰罗姆
莫勒,埃尔默
All stats and model conclusions
Model vs market
Glicko 1 / 2: 50.5% / 49.5%
Market 1 / 2: 63.0% / 37.0%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 1 · total 0
Tournament: International Hagen, Germany
根茨施, 汤姆
皮罗什,蓉博尔
All stats and model conclusions
Model vs market
Glicko 1 / 2: 46.9% / 53.1%
Market 1 / 2: 36.3% / 63.8%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 1 · total 0
Tournament: International Hagen, Germany
Torcq B
Papamalamis T
All stats and model conclusions
Model vs market
Glicko 1 / 2: 16.4% / 83.6%
Market 1 / 2: 12.1% / 87.9%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 2 · total 0
Tournament: International World Tennis. Men. Belgium
Hochiminh City Wings
Saigon Heat
Black B / Okutoyi A
Appleton E / McDonald E
All stats and model conclusions
Model vs market
Glicko 1 / 2: 56.2% / 43.8%
Market 1 / 2: 44.0% / 56.0%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 1 · total 0
Tournament: International World Tennis. Women. Great Britain. Doubles
Dolehide C
Gorgodze E
All stats and model conclusions
Model vs market
Glicko 1 / 2: 75.2% / 24.8%
Market 1 / 2: 77.5% / 22.5%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 2 · total 0
Tournament: International World Tennis. Women. Landisvill
Cho I-Syuan / Cho I-Tsen
Rodzhers A / Dzamarripa A
All stats and model conclusions
Model vs market
Glicko 1 / 2: 56.7% / 43.3%
Market 1 / 2: 57.0% / 43.0%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International World Tennis. Women. Landisvill
Martins I / Ovcharenko E
Osborne A / Wong H Y C
All stats and model conclusions
Model vs market
Glicko 1 / 2: 51.0% / 49.0%
Market 1 / 2: 50.0% / 50.0%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 3 · total 0
Tournament: International World Tennis. Women. Landisvill
劳雷罗,乔奥 维克托 库托 / 里贝罗 ,爱德华多
Radovanovic T / Rolland de Ravel C
All stats and model conclusions
Model vs market
Glicko 1 / 2: 61.2% / 38.8%
Market 1 / 2: 61.5% / 38.5%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 3 · total 0
Tournament: International Plovdiv 2, Bulgaria, Doubles
Dyullinger V
Pentslin Yu
All stats and model conclusions
Model vs market
Glicko 1 / 2: 57.2% / 42.8%
Market 1 / 2: 58.3% / 41.7%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: International World Tennis. Men. Germany
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.