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.
Mochizuki, Kotaro
Higashi, Riku
Kawanak, Haru
Shen Dzh-K
Macababbad, Diordan
Inagawa, Ryosuke
Imai S
Mitsui S
All stats and model conclusions
Model vs market
Glicko 1 / 2: 42.0% / 58.0%
Market 1 / 2: 41.8% / 58.2%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International World Tennis. Men. Kazakhstan
Pleshivtsev E
Paparkar A
All stats and model conclusions
Model vs market
Glicko 1 / 2: 56.1% / 43.9%
Market 1 / 2: 57.5% / 42.5%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International World Tennis. Men. Kazakhstan
Sornlaksup P
Sasikumar M
All stats and model conclusions
Model vs market
Glicko 1 / 2: 43.1% / 56.9%
Market 1 / 2: 41.3% / 58.7%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International World Tennis. Men. Kazakhstan
Zhalgasbay D
Kesharvani M
Chkhun Yunson / Khan Son-En
Lay Chin-Kuan / Sarksyan D
All stats and model conclusions
Model vs market
Glicko 1 / 2: 50.5% / 49.5%
Market 1 / 2: 50.0% / 50.0%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International World Tennis. Men. China
Chun Yu./Han Seon Yong
Lai C. K./Sarksian D.
All stats and model conclusions
Model vs market
Glicko 1 / 2: 49.7% / 50.3%
Market 1 / 2: 49.3% / 50.7%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 2 · total 0
Tournament: ITF Men - Doubles: M15 Tianjin (China), hard
Lin Yuy-Tszyun / Chzhan Zhuyen
Chen Men-I / Van Yuykhan
All stats and model conclusions
Model vs market
Glicko 1 / 2: 54.4% / 45.6%
Market 1 / 2: 54.4% / 45.6%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International World Tennis. Women. China
Lin Y. J./Zhang R.
Chen M./Van Ya.
All stats and model conclusions
Model vs market
Glicko 1 / 2: 49.6% / 50.4%
Market 1 / 2: 54.4% / 45.6%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 1 · total 0
Tournament: ITF Women - Doubles: W15 Tianjin (China), hard
Milovanova V
Yoshioka K
All stats and model conclusions
Model vs market
Glicko 1 / 2: 76.6% / 23.4%
Market 1 / 2: 78.0% / 22.0%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 3 · total 0
Tournament: International World Tennis. Women. Kazakhstan
Arifullina A
Chan Su-Chon
All stats and model conclusions
Model vs market
Glicko 1 / 2: 28.5% / 71.5%
Market 1 / 2: 26.0% / 74.0%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 2 · total 0
Tournament: International World Tennis. Women. Kazakhstan
Arifullina A. (World)
Jang Su Jeong
All stats and model conclusions
Model vs market
Glicko 1 / 2: 46.8% / 53.2%
Market 1 / 2: 26.7% / 73.3%
Favourite trap: no
Data completeness: 18%
Match context
Bookmaker coverage: 1×2 1 · total 0
Tournament: World Tennis. Women. Kazakhstan
Arystanbekova A
Pushkareva A
All stats and model conclusions
Model vs market
Glicko 1 / 2: 25.0% / 75.0%
Market 1 / 2: 23.1% / 76.9%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: World Tennis. Women. Kazakhstan
Mamedova E
Kurt I
All stats and model conclusions
Model vs market
Glicko 1 / 2: 80.0% / 20.0%
Market 1 / 2: 82.6% / 17.4%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: World Tennis. Women. Kazakhstan
Canberra Brave
Melbourne Ice
All stats and model conclusions
Model vs market
Glicko 1/X/2: 52.5% / - / 47.5%
Market 1/X/2: 52.9% / 16.8% / 30.3%
Favourite trap: no
Data completeness: 37%
Context and risks
Bookmaker coverage: 1X2 1 · pucks total 0
Tournament: International Australia. AIHL League
Form and absences
Home (form): W-D-L 3-0-0 · goals 25:9
Away (form): W-D-L 1-0-1 · goals 7:6
Absences: 0 / 0
Lineup confidence: -
Sydney Ice Dogs
Newcastle North Stars
All stats and model conclusions
Model vs market
Glicko 1/X/2: 46.7% / - / 53.3%
Market 1/X/2: 37.0% / 18.9% / 44.1%
Favourite trap: no
Data completeness: 37%
Context and risks
Bookmaker coverage: 1X2 1 · pucks total 0
Tournament: International Australia. AIHL League
Form and absences
Home (form): W-D-L 3-0-2 · goals 26:27
Away (form): W-D-L 4-0-0 · goals 25:11
Absences: 0 / 0
Lineup confidence: -
Perth Thunder
Melbourne Mustangs
All stats and model conclusions
Model vs market
Glicko 1/X/2: 49.1% / - / 50.9%
Market 1/X/2: 38.5% / 17.5% / 44.0%
Favourite trap: no
Data completeness: 37%
Context and risks
Bookmaker coverage: 1X2 1 · pucks total 0
Tournament: International Australia. AIHL League
Form and absences
Home (form): W-D-L 0-1-2 · goals 8:15
Away (form): W-D-L 1-0-0 · goals 8:3
Absences: 0 / 0
Lineup confidence: -
Camberwell Dragons
Gippsland United
Mckikkon Cougars
Hume City Broncos
Rovai, Samuel
McDonnell, Cian
All stats and model conclusions
Model vs market
Glicko 1 / 2: 63.5% / 36.5%
Market 1 / 2: 65.9% / 34.2%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 3 · total 0
Tournament: International UTR PTT Hamburg Men 01, 9-12 Playoff
Trklja, Armin
Wiger Nordas, Baltazar
Novakova, Erika
Nizetic, Leandra
All stats and model conclusions
Model vs market
Glicko 1 / 2: 52.7% / 47.3%
Market 1 / 2: 53.2% / 46.8%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: International UTR PTT Hamburg Women 01, 17-20 Playoff
Dorofeeva-Rybas F
Paganetti V
All stats and model conclusions
Model vs market
Glicko 1 / 2: 53.5% / 46.5%
Market 1 / 2: 53.8% / 46.2%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 5 · total 0
Tournament: International World Tennis. Women. Serbia
Herazo M
Glushkova D
All stats and model conclusions
Model vs market
Glicko 1 / 2: 19.5% / 80.5%
Market 1 / 2: 17.1% / 82.9%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International World Tennis. Women. Serbia
Pisarich A / Radzhenovich V
Khattsiavraam N / Kunturakis I
Misasi G
Ghetu G
All stats and model conclusions
Model vs market
Glicko 1 / 2: 23.4% / 76.6%
Market 1 / 2: 19.6% / 80.4%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International World Tennis. Men. Romania
Pieleanu R T
Andreescu S A
All stats and model conclusions
Model vs market
Glicko 1 / 2: 33.2% / 66.8%
Market 1 / 2: 31.9% / 68.2%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International World Tennis. Men. Romania
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.