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.
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
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
Azkara A / Mackinlay J
Betov S / Simakin I
All stats and model conclusions
Model vs market
Glicko 1 / 2: 46.5% / 53.5%
Market 1 / 2: 56.0% / 44.0%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 1 · total 0
Tournament: Istanbul 2, Turkiye, Doubles
Makk P
Hallquist Lithen J
Branketti Dzh / Ilich Dzh
Khaupt Kh / Maute Ya
All stats and model conclusions
Model vs market
Glicko 1 / 2: 27.6% / 72.4%
Market 1 / 2: 24.3% / 75.7%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International World Tennis. Men. Germany
Van der Meerschen M
Forger A
All stats and model conclusions
Model vs market
Glicko 1 / 2: 38.5% / 61.5%
Market 1 / 2: 37.0% / 63.0%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: International World Tennis. Men. Belgium
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
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
Tarvet O
Matusevich A
All stats and model conclusions
Model vs market
Glicko 1 / 2: 70.6% / 29.4%
Market 1 / 2: 72.1% / 27.9%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 6 · total 0
Tournament: ITF Men - Singles: M25 Roehampton (Velikobritaniya), hard
Dorofeeva-Rybas F./Panshina V.
Eraso Gonsales M./Khorvit M.
All stats and model conclusions
Model vs market
Glicko 1 / 2: 59.7% / 40.3%
Market 1 / 2: 60.7% / 39.3%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 3 · total 0
Tournament: ITF Women - Doubles: W15 Kursumlijska Banja 12 (Serbia), clay
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
ゲリエリ・アンドレア
グリンカ・ダニイル
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
アーハード,マティス
シュワーツラー・ジョエル
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. Velikobritaniya
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
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
リー・キャロル・ヤング・スー
ナットソン・ガブリエラ・アンドレア
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
ギバウド・アントワーヌ
シマキン, イリア
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
キム・ジェロム
モラー・エルマー
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
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
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.