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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.

The Free plan shows a demo feed only. You see up to 8 upcoming matches and the base line only. The full board unlocks on the Analyst plan.
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Shown 394
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Leagues 63
Bookmakers 7
Showing 30 upcoming matches. These are upcoming events for the selected sport. Use the sport, league and date filters to narrow the list.
ITF Men - Doubles: M15 Maanshan 7 (China), hard Tennis
18.08 4 matches
Tennis ITF Men - Doubles: M15 Maanshan 7 (China), hard 18.08.2026 04:30 UTC NEUTRAL · MODEL CALCULATION

Rifqi Fitriadi M./Sarksian D.

Pan W./Sun Z.

🎯 PropickAI prediction
model probability · no colour signal
1 Rifqi Fitriadi M./Sarksian D. 76%
1 76% · 2 24%
1.21 3.92
✓ Prematch ready line ready 2 bookmakers 1 market updated 18.08 04:17 UTC
line available on the match card 2 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 75.0% / 25.0%

Market 1 / 2: 76.6% / 23.4%

Favourite trap: no

Data completeness: 18%

Match context

Bookmaker coverage: 1×2 2 · total 0

Tournament: ITF Men - Doubles: M15 Maanshan 7 (China), hard

Tennis ITF Men - Doubles: M15 Maanshan 7 (China), hard 18.08.2026 04:30 UTC NEUTRAL · MODEL CALCULATION

Hongyu Y./Trongcharoenchaikul V.

Chun Iu./Kim D. J.

🎯 PropickAI prediction
model probability · no colour signal
2 Chun Iu./Kim D. J. 59%
1 41% · 2 59%
2.25 1.57
✓ Prematch ready line ready 2 bookmakers 1 market updated 18.08 04:17 UTC
line available on the match card 2 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 41.9% / 58.1%

Market 1 / 2: 41.1% / 58.9%

Favourite trap: no

Data completeness: 18%

Match context

Bookmaker coverage: 1×2 2 · total 0

Tournament: ITF Men - Doubles: M15 Maanshan 7 (China), hard

Tennis ITF Men - Doubles: M15 Maanshan 7 (China), hard 18.08.2026 06:00 UTC NEUTRAL · MODEL CALCULATION

Ann S./Oh Chan-Yeong

Jones Alex / Jones Miles

🎯 PropickAI prediction
model probability · no colour signal
2 Jones Alex / Jones Miles 67%
1 33% · 2 67%
2.73 1.36
✓ Prematch ready line ready 1 bookmaker 1 market updated 18.08 04:32 UTC
line available on the match card 1 bookmaker Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 45.9% / 54.1%

Market 1 / 2: 33.3% / 66.8%

Favourite trap: no

Data completeness: 18%

Match context

Bookmaker coverage: 1×2 1 · total 0

Tournament: ITF Men - Doubles: M15 Maanshan 7 (China), hard

Tennis ITF Men - Doubles: M15 Maanshan 7 (China), hard 18.08.2026 06:00 UTC NEUTRAL · MODEL CALCULATION

Charlton Dzh./Pak U.

Lai C. K./Yang M.

🎯 PropickAI prediction
model probability · no colour signal
1 Charlton Dzh./Pak U. 66%
1 66% · 2 34%
1.40 2.75
✓ Prematch ready line ready 3 bookmakers 1 market updated 18.08 04:32 UTC
line available on the match card 3 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 64.4% / 35.6%

Market 1 / 2: 66.3% / 33.7%

Favourite trap: no

Data completeness: 18%

Match context

Bookmaker coverage: 1×2 3 · total 0

Tournament: ITF Men - Doubles: M15 Maanshan 7 (China), hard

ITF Women - Singles: W15 Tianjin 3 (China), hard Tennis
18.08 5 matches
Tennis ITF Women - Singles: W15 Tianjin 3 (China), hard 18.08.2026 05:00 UTC PRICE QUALITY

Kalyakina M

Kim D. (Kor)

🎯 PropickAI prediction
model probability · no colour signal
1 Kalyakina M 58%
1 58% · 2 42%
1.61 2.20
✓ Prematch ready 📊 extended stats line ready 5 bookmakers 3 markets updated 18.08 04:32 UTC
line available on the match card 5 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 57.6% / 42.4%

Market 1 / 2: 57.4% / 42.6%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 5 · total 0

Tournament: ITF Women - Singles: W15 Tianjin 3 (China), hard

Tennis ITF Women - Singles: W15 Tianjin 3 (China), hard 18.08.2026 05:00 UTC NEUTRAL · MODEL CALCULATION

Yodpetch K

Deng T. T. (Shve)

🎯 PropickAI prediction
model probability · no colour signal
1 Yodpetch K 61%
1 61% · 2 39%
1.55 2.40
✓ Prematch ready 📊 extended stats line ready 5 bookmakers 3 markets updated 18.08 04:32 UTC
line available on the match card 5 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 61.9% / 38.1%

Market 1 / 2: 61.5% / 38.5%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 5 · total 0

Tournament: ITF Women - Singles: W15 Tianjin 3 (China), hard

Tennis ITF Women - Singles: W15 Tianjin 3 (China), hard 18.08.2026 05:00 UTC PRICE QUALITY

Wang Meiling

Zhu Chenting

Zhu Chenting

🎯 PropickAI prediction
model probability · no colour signal
2 Zhu Chenting 64%
1 36% · 2 64%
2.73 1.55
✓ Prematch ready 📊 extended stats line ready 5 bookmakers 3 markets updated 18.08 04:32 UTC
line available on the match card 5 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 36.4% / 63.6%

Market 1 / 2: 35.4% / 64.6%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 5 · total 0

Tournament: ITF Women - Singles: W15 Tianjin 3 (China), hard

Tennis ITF Women - Singles: W15 Tianjin 3 (China), hard 18.08.2026 06:30 UTC NEUTRAL · MODEL CALCULATION

Lan Xiran

Wei Sijia

🎯 PropickAI prediction
model probability · no colour signal
2 Wei Sijia 90%
1 10% · 2 90%
9.40 1.04
✓ Prematch ready line ready 3 bookmakers 2 markets updated 18.08 04:32 UTC
line available on the match card 3 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 14.9% / 85.1%

Market 1 / 2: 10.8% / 89.3%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 3 · total 0

Tournament: ITF Women - Singles: W15 Tianjin 3 (China), hard

Tennis ITF Women - Singles: W15 Tianjin 3 (China), hard 18.08.2026 06:30 UTC NEUTRAL · MODEL CALCULATION

Khan Zh. (Kit)

Chen Meng Yi

🎯 PropickAI prediction
model probability · no colour signal
1 Khan Zh. (Kit) 71%
1 71% · 2 29%
1.35 3.30
✓ Prematch ready line ready 5 bookmakers 3 markets updated 18.08 04:32 UTC
line available on the match card 5 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 68.2% / 31.8%

Market 1 / 2: 69.3% / 30.7%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 5 · total 0

Tournament: ITF Women - Singles: W15 Tianjin 3 (China), hard

ITF Women - Doubles: W15 Tianjin 3 (China), hard Tennis
18.08 1 match
Tennis ITF Women - Doubles: W15 Tianjin 3 (China), hard 18.08.2026 06:30 UTC NEUTRAL · MODEL CALCULATION

Chanta A / Naklo T

Chon S./Ye Q.

🎯 PropickAI prediction
model probability · no colour signal
1 Chanta A / Naklo T 79%
1 79% · 2 21%
1.17 4.40
✓ Prematch ready line ready 2 bookmakers 1 market updated 18.08 04:32 UTC
line available on the match card 2 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 77.2% / 22.8%

Market 1 / 2: 79.1% / 20.9%

Favourite trap: no

Data completeness: 18%

Match context

Bookmaker coverage: 1×2 2 · total 0

Tournament: ITF Women - Doubles: W15 Tianjin 3 (China), hard

ATP Challenger Sion, Switzerland Men Singles Tennis
18.08 6 matches
Tennis ATP Challenger Sion, Switzerland Men Singles 18.08.2026 08:00 UTC PRICE QUALITY 🤖 AI read ready
Milic, Ognjen

Milic, Ognjen

Ratti, Lucio

Ratti, Lucio

🎯 PropickAI prediction
2 Ratti, Lucio 52%
1 48% · 2 52%
1.96 1.81
✓ Prematch ready 📊 extended stats line ready 5 bookmakers 3 markets updated 18.08 04:32 UTC
AI outcome leader: 1 agreement 1/1
line available on the match card 5 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 49.3% / 50.7%

Market 1 / 2: 48.1% / 51.9%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 5 · total 0

Tournament: ATP Challenger Sion, Switzerland Men Singles

Tennis ATP Challenger Sion, Switzerland Men Singles 18.08.2026 08:00 UTC NEUTRAL · MODEL CALCULATION 🤖 AI read ready
Brunold M

Brunold M

Zahraj P

🎯 PropickAI prediction
model probability · no colour signal
1 Brunold M 69%
1 69% · 2 31%
1.36 3.05
✓ Prematch ready 📊 extended stats line ready 4 bookmakers 3 markets updated 18.08 04:32 UTC
AI outcome leader: 1 agreement 1/1
line available on the match card 4 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 66.9% / 33.1%

Market 1 / 2: 68.8% / 31.2%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 4 · total 0

Tournament: ATP Challenger Sion, Switzerland Men Singles

Tennis ATP Challenger Sion, Switzerland Men Singles 18.08.2026 08:00 UTC NEUTRAL · MODEL CALCULATION

Dellen Velasko M. (Bol)

Nijboer R

🎯 PropickAI prediction
model probability · no colour signal
2 Nijboer R 56%
1 44% · 2 56%
2.17 1.69
✓ Prematch ready line ready 3 bookmakers 3 markets updated 18.08 04:32 UTC
line available on the match card 3 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 43.7% / 56.3%

Market 1 / 2: 43.3% / 56.7%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 3 · total 0

Tournament: ATP Challenger Sion, Switzerland Men Singles

Tennis ATP Challenger Sion, Switzerland Men Singles 18.08.2026 08:00 UTC NEUTRAL · MODEL CALCULATION

Compagnucci T

Dahlin, Max

Dahlin, Max

🎯 PropickAI prediction
model probability · no colour signal
2 Dahlin, Max 56%
1 44% · 2 56%
2.14 1.69
✓ Prematch ready 📊 extended stats line ready 3 bookmakers 3 markets updated 18.08 04:32 UTC
line available on the match card 3 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 44.6% / 55.4%

Market 1 / 2: 44.0% / 56.0%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 3 · total 0

Tournament: ATP Challenger Sion, Switzerland Men Singles

Tennis ATP Challenger Sion, Switzerland Men Singles 18.08.2026 08:00 UTC NEUTRAL · MODEL CALCULATION 🤖 AI read ready 📊 Rich data
Mena F

Mena F

La Serna, Juan Manuel

🎯 PropickAI prediction
1 Mena F 54%
1 54% · 2 46%
1.75 2.05
✓ Prematch ready 📊 extended stats line ready 6 bookmakers 5 markets updated 18.08 04:34 UTC
AI outcome leader: 1 agreement 1/1
line available on the match card 6 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 53.0% / 47.0%

Market 1 / 2: 54.0% / 46.0%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 6 · total 0

Tournament: ATP Challenger Sion, Switzerland Men Singles

Tennis ATP Challenger Sion, Switzerland Men Singles 18.08.2026 08:00 UTC NEUTRAL · MODEL CALCULATION 🤖 AI read ready 📊 Rich data

Staeheli L

Chepelev A

Chepelev A

🎯 PropickAI prediction
1 Staeheli L 53%
1 53% · 2 47%
1.79 2.03
✓ Prematch ready 📊 extended stats line ready 5 bookmakers 5 markets updated 18.08 04:32 UTC
AI outcome leader: 1 agreement 1/1
line available on the match card 5 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 53.3% / 46.7%

Market 1 / 2: 53.2% / 46.8%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 5 · total 0

Tournament: ATP Challenger Sion, Switzerland Men Singles

ATP Challenger Prague, Czech Republic Men Singles Tennis
18.08 2 matches
Tennis ATP Challenger Prague, Czech Republic Men Singles 18.08.2026 08:00 UTC NEUTRAL · MODEL CALCULATION 🤖 AI read ready 📊 Rich data

Broska F

Cuenin S

Cuenin S

🎯 PropickAI prediction
model probability · no colour signal
2 Cuenin S 60%
1 40% · 2 60%
2.43 1.60
✓ Prematch ready 📊 extended stats line ready 5 bookmakers 5 markets updated 18.08 04:32 UTC
AI outcome leader: 1 agreement 1/1
line available on the match card 5 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 40.0% / 60.0%

Market 1 / 2: 39.8% / 60.2%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 5 · total 0

Tournament: ATP Challenger Prague, Czech Republic Men Singles

Tennis ATP Challenger Prague, Czech Republic Men Singles 18.08.2026 08:00 UTC NEUTRAL · MODEL CALCULATION 🤖 AI read ready 📊 Rich data
Rehberg M H

Rehberg M H

Nicod J

🎯 PropickAI prediction
model probability · no colour signal
1 Rehberg M H 68%
1 68% · 2 32%
1.40 3.00
✓ Prematch ready 📊 extended stats line ready 4 bookmakers 5 markets updated 18.08 04:32 UTC
AI outcome leader: 1 agreement 1/1
line available on the match card 4 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 66.4% / 33.6%

Market 1 / 2: 68.1% / 31.9%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 4 · total 0

Tournament: ATP Challenger Prague, Czech Republic Men Singles

ITF Women - Singles: W50 Prague (Czechia), clay Tennis
18.08 4 matches
Tennis ITF Women - Singles: W50 Prague (Czechia), clay 18.08.2026 08:00 UTC NEUTRAL · MODEL CALCULATION
Zoldakova D

Zoldakova D

Teixido Garcia A. (Isp)

🎯 PropickAI prediction
model probability · no colour signal
1 Zoldakova D 61%
1 61% · 2 39%
1.52 2.40
✓ Prematch ready 📊 extended stats line ready 3 bookmakers 3 markets updated 18.08 04:32 UTC
line available on the match card 3 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 60.3% / 39.7%

Market 1 / 2: 61.5% / 38.5%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 3 · total 0

Tournament: ITF Women - Singles: W50 Prague (Czechia), clay

Tennis ITF Women - Singles: W50 Prague (Czechia), clay 18.08.2026 08:00 UTC NEUTRAL · MODEL CALCULATION
Zolotareva A

Zolotareva A

Serban R G

Serban R G

🎯 PropickAI prediction
model probability · no colour signal
1 Zolotareva A 57%
1 57% · 2 43%
1.66 2.20
✓ Prematch ready 📊 extended stats line ready 3 bookmakers 3 markets updated 18.08 04:32 UTC
line available on the match card 3 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 56.9% / 43.1%

Market 1 / 2: 57.4% / 42.6%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 3 · total 0

Tournament: ITF Women - Singles: W50 Prague (Czechia), clay

Tennis ITF Women - Singles: W50 Prague (Czechia), clay 18.08.2026 08:00 UTC NEUTRAL · MODEL CALCULATION

Meir L. (Ita)

Kotliar Y

🎯 PropickAI prediction
model probability · no colour signal
2 Kotliar Y 77%
1 23% · 2 77%
4.30 1.26
✓ Prematch ready line ready 5 bookmakers 3 markets updated 18.08 04:32 UTC
line available on the match card 5 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 26.6% / 73.4%

Market 1 / 2: 25.0% / 75.1%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 5 · total 0

Tournament: ITF Women - Singles: W50 Prague (Czechia), clay

Tennis ITF Women - Singles: W50 Prague (Czechia), clay 18.08.2026 08:00 UTC NEUTRAL · MODEL CALCULATION

Havlickova L

Bervid V

🎯 PropickAI prediction
model probability · no colour signal
1 Havlickova L 86%
1 86% · 2 14%
1.11 7.00
✓ Prematch ready 📊 extended stats line ready 3 bookmakers 3 markets updated 18.08 04:32 UTC
line available on the match card 3 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 83.8% / 16.2%

Market 1 / 2: 86.7% / 13.3%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 3 · total 0

Tournament: ITF Women - Singles: W50 Prague (Czechia), clay

ITF Women - Singles: W35 Krakow (Poland), clay Tennis
18.08 3 matches
Tennis ITF Women - Singles: W35 Krakow (Poland), clay 18.08.2026 08:00 UTC NEUTRAL · MODEL CALCULATION
Feistel G. (Pol)

Feistel G. (Pol)

Gniewkowska O

🎯 PropickAI prediction
model probability · no colour signal
1 Feistel G. (Pol) 91%
1 91% · 2 9%
1.01 9.80
✓ Prematch ready 📊 extended stats line ready 1 bookmaker 3 markets updated 18.08 04:32 UTC
line available on the match card 1 bookmaker Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 43.0% / 57.0%

Market 1 / 2: 90.7% / 9.3%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 1 · total 0

Tournament: ITF Women - Singles: W35 Krakow (Poland), clay

Tennis ITF Women - Singles: W35 Krakow (Poland), clay 18.08.2026 08:00 UTC NEUTRAL · MODEL CALCULATION

Straszewska B. (Pol)

Zelnickova R

🎯 PropickAI prediction
model probability · no colour signal
2 Zelnickova R 90%
1 10% · 2 90%
9.00 1.01
✓ Prematch ready 📊 extended stats line ready 1 bookmaker 3 markets updated 18.08 04:32 UTC
line available on the match card 1 bookmaker Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 41.8% / 58.2%

Market 1 / 2: 10.1% / 89.9%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 1 · total 0

Tournament: ITF Women - Singles: W35 Krakow (Poland), clay

Tennis ITF Women - Singles: W35 Krakow (Poland), clay 18.08.2026 08:00 UTC NEUTRAL · MODEL CALCULATION

Samir S

Leikina P. (Mir)

🎯 PropickAI prediction
model probability · no colour signal
1 Samir S 58%
1 58% · 2 42%
1.57 2.16
✓ Prematch ready line ready 1 bookmaker 3 markets updated 18.08 04:32 UTC
line available on the match card 1 bookmaker Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 42.6% / 57.4%

Market 1 / 2: 57.9% / 42.1%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 1 · total 0

Tournament: ITF Women - Singles: W35 Krakow (Poland), clay

ITF Women - Doubles: W35 Krakow (Poland), clay Tennis
18.08 5 matches
Tennis ITF Women - Doubles: W35 Krakow (Poland), clay 18.08.2026 08:00 UTC NEUTRAL · MODEL CALCULATION

Burylo M./Chastang Cooper A.

Gniewkowska O./Podlinska M.

🎯 PropickAI prediction
model probability · no colour signal
2 Gniewkowska O./Podlinska M. 88%
1 12% · 2 88%
7.80 1.05
✓ Prematch ready line ready 2 bookmakers 1 market updated 18.08 04:32 UTC
line available on the match card 2 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 15.2% / 84.8%

Market 1 / 2: 12.4% / 87.6%

Favourite trap: no

Data completeness: 18%

Match context

Bookmaker coverage: 1×2 2 · total 0

Tournament: ITF Women - Doubles: W35 Krakow (Poland), clay

Tennis ITF Women - Doubles: W35 Krakow (Poland), clay 18.08.2026 08:00 UTC NEUTRAL · MODEL CALCULATION

Gorshka D./Paszun A.

Affelt N./Kmiecik A.

🎯 PropickAI prediction
model probability · no colour signal
1 Gorshka D./Paszun A. 62%
1 62% · 2 38%
1.50 2.45
✓ Prematch ready line ready 3 bookmakers 1 market updated 18.08 04:32 UTC
line available on the match card 3 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 60.6% / 39.4%

Market 1 / 2: 61.5% / 38.5%

Favourite trap: no

Data completeness: 18%

Match context

Bookmaker coverage: 1×2 3 · total 0

Tournament: ITF Women - Doubles: W35 Krakow (Poland), clay

Tennis ITF Women - Doubles: W35 Krakow (Poland), clay 18.08.2026 08:00 UTC NEUTRAL · MODEL CALCULATION

Gusar S./Straszewska B.

Garsiia-Peres G./Turini V.

🎯 PropickAI prediction
model probability · no colour signal
2 Garsiia-Peres G./Turini V. 74%
1 26% · 2 74%
3.60 1.26
✓ Prematch ready line ready 3 bookmakers 1 market updated 18.08 04:32 UTC
line available on the match card 3 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 28.3% / 71.7%

Market 1 / 2: 25.6% / 74.4%

Favourite trap: no

Data completeness: 18%

Match context

Bookmaker coverage: 1×2 3 · total 0

Tournament: ITF Women - Doubles: W35 Krakow (Poland), clay

Tennis ITF Women - Doubles: W35 Krakow (Poland), clay 18.08.2026 08:00 UTC NEUTRAL · MODEL CALCULATION

Sakellaridi S./Vilar G.

Leikina P./Vysochanska K.

🎯 PropickAI prediction
model probability · no colour signal
2 Leikina P./Vysochanska K. 71%
1 29% · 2 71%
3.20 1.32
✓ Prematch ready line ready 2 bookmakers 1 market updated 18.08 04:32 UTC
line available on the match card 2 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 31.3% / 68.7%

Market 1 / 2: 29.5% / 70.5%

Favourite trap: no

Data completeness: 18%

Match context

Bookmaker coverage: 1×2 2 · total 0

Tournament: ITF Women - Doubles: W35 Krakow (Poland), clay

Tennis ITF Women - Doubles: W35 Krakow (Poland), clay 18.08.2026 08:00 UTC NEUTRAL · MODEL CALCULATION

Kuczer D./Samir S.

Maduzzi G./Pace F.

🎯 PropickAI prediction
model probability · no colour signal
2 Maduzzi G./Pace F. 62%
1 38% · 2 62%
2.46 1.48
✓ Prematch ready line ready 2 bookmakers 1 market updated 18.08 04:32 UTC
line available on the match card 2 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 39.7% / 60.3%

Market 1 / 2: 37.6% / 62.4%

Favourite trap: no

Data completeness: 18%

Match context

Bookmaker coverage: 1×2 2 · total 0

Tournament: ITF Women - Doubles: W35 Krakow (Poland), clay

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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.