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.
Kozyreva M / Lumsden M
Guarachi A / Harrison C
All stats and model conclusions
Model vs market
Glicko 1 / 2: 69.5% / 30.5%
Market 1 / 2: 71.4% / 28.6%
Favourite trap: no
Data completeness: 33%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: WTA. Memphis. Doubles
Lu Tszya-Tszin/Savinykh V.
Leon S./Schoppe E.
All stats and model conclusions
Model vs market
Glicko 1 / 2: 66.5% / 33.5%
Market 1 / 2: 68.1% / 31.9%
Favourite trap: no
Data completeness: 18%
Match context
Bookmaker coverage: 1×2 3 · total 0
Tournament: WTA 125K. Vancouver. Doubles
Nam Ji Sung / Yuzuki T
Isaro P / Paris J
All stats and model conclusions
Model vs market
Glicko 1 / 2: 52.3% / 47.7%
Market 1 / 2: 53.1% / 46.9%
Favourite trap: no
Data completeness: 33%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: ATP. Los Cabos. Doubles
Cerundolo F
Boyer T
All stats and model conclusions
Model vs market
Glicko 1 / 2: 67.5% / 32.5%
Market 1 / 2: 70.2% / 29.8%
Favourite trap: no
Data completeness: 72%
Match context
Court:Delmar Interneshnl Skul. Grendstend
Bookmaker coverage: 1×2 4 · total 0
Tournament: ATP - Singles: Los Kabos (Mexico), hard
Lehecka J
Wong C
All stats and model conclusions
Model vs market
Glicko 1 / 2: 73.4% / 26.6%
Market 1 / 2: 75.3% / 24.7%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 2 · total 0
Tournament: ATP - Singles: Los Kabos (Mexico), hard
Winter E
Brooksby J
All stats and model conclusions
Model vs market
Glicko 1 / 2: 19.5% / 80.5%
Market 1 / 2: 15.8% / 84.2%
Favourite trap: no
Data completeness: 59%
Match context
Court:Delmar Interneshnl Skul. Kort 1
Bookmaker coverage: 1×2 2 · total 0
Tournament: ATP - Singles: Los Kabos (Mexico), hard
Hon P
Preston T
All stats and model conclusions
Model vs market
Glicko 1 / 2: 33.0% / 67.0%
Market 1 / 2: 30.7% / 69.3%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 3 · total 0
Tournament: WTA 125K. Vancouver
Jones E
Brengle M
All stats and model conclusions
Model vs market
Glicko 1 / 2: 48.8% / 51.2%
Market 1 / 2: 48.2% / 51.8%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 2 · total 0
Tournament: International WTA 125K. Vankuver
Ibraimi Y. 🇦🇺
Dong Chen
All stats and model conclusions
Model vs market
Glicko 1 / 2: 53.2% / 46.8%
Market 1 / 2: 52.6% / 47.4%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 3 · total 0
Tournament: ITF Men - Singles: M15 Brisbane 2 (Australia), hard
Pade C. 🇦🇺
Jones S. 🇦🇺
All stats and model conclusions
Model vs market
Glicko 1 / 2: 48.4% / 51.6%
Market 1 / 2: 24.3% / 75.7%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 1 · total 0
Tournament: ITF Men - Singles: M15 Brisbane 2 (Australia), hard
Sik M. E. 🇦🇺
McFadzean L
All stats and model conclusions
Model vs market
Glicko 1 / 2: 61.1% / 38.9%
Market 1 / 2: 50.4% / 49.6%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 1 · total 0
Tournament: ITF Men - Singles: M15 Brisbane 2 (Australia), hard
Dellavedova M
Mehrotra A
All stats and model conclusions
Model vs market
Glicko 1 / 2: 88.0% / 12.0%
Market 1 / 2: 90.7% / 9.3%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 3 · total 0
Tournament: ITF Men - Singles: M15 Brisbane 2 (Australia), hard
Hazawa S
Jovanovski D
All stats and model conclusions
Model vs market
Glicko 1 / 2: 57.2% / 42.8%
Market 1 / 2: 58.7% / 41.3%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 2 · total 0
Tournament: ITF Men - Singles: M15 Brisbane 2 (Australia), hard
Sibai J
Mildren S
All stats and model conclusions
Model vs market
Glicko 1 / 2: 56.7% / 43.3%
Market 1 / 2: 57.9% / 42.1%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 3 · total 0
Tournament: World Tennis. Women. Australia
Tsao Ch. 🇹🇼
Alame Re. 🇦🇺
All stats and model conclusions
Model vs market
Glicko 1 / 2: 64.5% / 35.5%
Market 1 / 2: 65.8% / 34.2%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 3 · total 0
Tournament: World Tennis. Women. Australia
Dart H
Dong E. 🇨🇦
All stats and model conclusions
Model vs market
Glicko 1 / 2: 68.9% / 31.1%
Market 1 / 2: 72.1% / 27.9%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 3 · total 0
Tournament: WTA 125K. Vancouver
Stevens Z
Bouzige M
All stats and model conclusions
Model vs market
Glicko 1 / 2: 27.7% / 72.3%
Market 1 / 2: 24.9% / 75.1%
Favourite trap: no
Data completeness: 33%
Match context
Bookmaker coverage: 1×2 2 · total 0
Tournament: International World Tennis. Men. Australia
Zink T
Vulf Dzh
All stats and model conclusions
Model vs market
Glicko 1 / 2: 59.6% / 40.4%
Market 1 / 2: 29.6% / 70.5%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 1 · total 0
Tournament: International Vankuver
Shick B
Andrade A
All stats and model conclusions
Model vs market
Glicko 1 / 2: 55.8% / 44.2%
Market 1 / 2: 56.5% / 43.5%
Favourite trap: no
Data completeness: 39%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International Vankuver
Hijikata R / Stalder R
Liutarevich I / Reyes-Varela M A
All stats and model conclusions
Model vs market
Glicko 1 / 2: 57.5% / 42.5%
Market 1 / 2: 57.9% / 42.1%
Favourite trap: no
Data completeness: 33%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: ATP. Los Cabos. Doubles
Tomic B
Khachanov K
All stats and model conclusions
Model vs market
Glicko 1 / 2: 31.2% / 68.8%
Market 1 / 2: 29.3% / 70.7%
Favourite trap: no
Data completeness: 72%
Match context
Court:Delmar Interneshnl Skul. Grendstend
Bookmaker coverage: 1×2 4 · total 0
Tournament: ATP - Singles: Los Kabos (Mexico), hard
Gea A
Zheng Michael
All stats and model conclusions
Model vs market
Glicko 1 / 2: 55.5% / 44.5%
Market 1 / 2: 37.9% / 62.1%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 1 · total 0
Tournament: ATP - Singles: Los Kabos (Mexico), hard
Shapovalov D. 🇨🇦
Arce Fernandez M
All stats and model conclusions
Model vs market
Glicko 1 / 2: 65.9% / 34.1%
Market 1 / 2: 67.9% / 32.1%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 2 · total 0
Tournament: ATP - Singles: Los Kabos (Mexico), hard
Kozyreva M / Lumsden M
Guarachi A / Harrison C
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: 33%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International WTA. Memphis. Doubles
Lu Jia-Jing / Savinykh V
Leon S / Schoppe E
All stats and model conclusions
Model vs market
Glicko 1 / 2: 67.4% / 32.6%
Market 1 / 2: 69.1% / 30.9%
Favourite trap: no
Data completeness: 33%
Match context
Bookmaker coverage: 1×2 4 · total 0
Tournament: International WTA 125K. Vankuver
Lopes E./Shibata S.
Fairclough L./Gilkhini R.
All stats and model conclusions
Model vs market
Glicko 1 / 2: 16.8% / 83.2%
Market 1 / 2: 13.8% / 86.2%
Favourite trap: no
Data completeness: 18%
Match context
Bookmaker coverage: 1×2 3 · total 0
Tournament: World Tennis. Women. Australia. Doubles
Uemura M./Yoshimoto N.
Carbis J./Suorbrik E.
All stats and model conclusions
Model vs market
Glicko 1 / 2: 76.8% / 23.2%
Market 1 / 2: 79.1% / 20.9%
Favourite trap: no
Data completeness: 18%
Match context
Bookmaker coverage: 1×2 3 · total 0
Tournament: World Tennis. Women. Australia. Doubles
Kavamura M./Sato Kh.
Bond-Scott K / Thompson B
All stats and model conclusions
Model vs market
Glicko 1 / 2: 77.6% / 22.4%
Market 1 / 2: 80.7% / 19.3%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 3 · total 0
Tournament: World Tennis. Women. Australia. Doubles
Hsu Anna / Uchijima Maiko
Lin F. A./Wan I W.
All stats and model conclusions
Model vs market
Glicko 1 / 2: 16.5% / 83.5%
Market 1 / 2: 12.3% / 87.7%
Favourite trap: no
Data completeness: 24%
Match context
Bookmaker coverage: 1×2 2 · total 0
Tournament: World Tennis. Women. Australia. Doubles
Ryan Ziegann S
Charoenphon Y
All stats and model conclusions
Model vs market
Glicko 1 / 2: 56.4% / 43.6%
Market 1 / 2: 56.9% / 43.1%
Favourite trap: no
Data completeness: 33%
Match context
Bookmaker coverage: 1×2 2 · total 0
Tournament: International World Tennis. Men. Indonesia
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.