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.

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Leagues 62

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LIVE now In-play matches

Live win probability (market-implied) — how often it wins, not a profit forecast.

Tennis International World Tennis. Men. Indonesia. Doubles ● LIVE41'

Dzhaisingkhani R

Chen Yan Cheng

Live pick 2 Chen Yan Cheng 85%

Details

Tennis ITF Men - Singles: M15 Nonthaburi (Thailand), Hard ● LIVE76'

Hasson J. (Izr)

Sharoenfon Iu. (Tai)

Live pick 1 Hasson J. (Izr) 82%

Details

Tennis ITF Women - Singles: W75 Tianjin (China), Hard ● LIVE46'

Shi Han

Saigo R

Live pick 1 Shi Han 88%

Details

Tennis International World Tennis. Women.Tyantszin ● LIVE26'

Kaji H

Ren Yufei

Live pick 2 Ren Yufei 61%

Details

Tennis ITF Women - Singles: W75 Tianjin (China), Hard ● LIVE136'

Morvayova V

Saito S

Live pick 2 Saito S 52%

Details

Tennis International Chzhantszyagan ● LIVE76'

Trotter J

Hsu Yu Hsiou

Live pick 1 Trotter J 56%

Details

Tennis International Chzhantszyagan ● LIVE76'

Tseng C H

Watanuki Y

Live pick 1 Tseng C H 81%

Details

Tennis International World Tennis. Women. South Korea ● LIVE7'

Odzeki M

Lee Eun Ji

Live pick 2 Lee Eun Ji 77%

Details

Tennis International World Tennis. Women. South Korea ● LIVE102'

Jang Su Jeong

Lin Fang An

Live pick 1 Jang Su Jeong 69%

Details

Tennis International World Tennis. Women. South Korea ● LIVE104'

Jeong Sunam

Yoshioka K

Live pick 1 Jeong Sunam 54%

Details

Tennis International World Tennis. Men. Indonesia. Doubles ● LIVE21'

Storch S

Shearer M

Live pick 1 Storch S 52%

Details

Tennis International World Tennis. Women.Tyantszin ● LIVE3'

Tian Fanzhan

Li Zongyu

Live pick 1 Tian Fanzhan 68%

Details

Tennis International ATP Challenger. Zhangjiagang. Doubles ● LIVE1'

Charlton Dzh./Van Aozhan

Kadkhe A / Iudzuki T

Live pick 2 Kadkhe A / Iudzuki T 59%

Details

Challenger Men - Singles: Zhangjiagang (China), Hard Tennis

Tennis

Challenger Men - Singles: Zhangjiagang (China), Hard 02.09.2026 04:30 UTC NEUTRAL · MODEL CALCULATION

Sun F

Liu H. (Kit)

🎯 PropickAI prediction

model probability · no colour signal

1 Sun F 83%

1 83% · 2 17%

🎯 Safe pick Match winner — Sun F ~87% strong

1.17 5.80

✓ Prematch ready 📊 extended stats line ready 5 bookmakers 3 markets updated 02.09 04:29 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 81.1% / 18.9%

Market 1 / 2: 82.3% / 17.7%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 5 · total 0

Tournament: Challenger Men - Singles: Zhangjiagang (China), Hard

Tennis

Challenger Men - Singles: Zhangjiagang (China), Hard 02.09.2026 04:30 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data

Leong M W K

Matsuda, Koki

🎯 PropickAI prediction

1 Leong M W K 51%

1 51% · 2 49%

1.87 1.95

✓ Prematch ready 📊 extended stats line ready 6 bookmakers 5 markets updated 02.09 05:50 UTC

line available on the match card 6 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 52.1% / 47.9%

Market 1 / 2: 52.1% / 47.9%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 6 · total 0

Tournament: Challenger Men - Singles: Zhangjiagang (China), Hard

International Chzhantszyagan Tennis

Tennis

International Chzhantszyagan 02.09.2026 04:30 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data

Sun F

Liu Khani

🎯 PropickAI prediction

model probability · no colour signal

1 Sun F 76%

1 76% · 2 24%

🎯 Safe pick Match winner — Sun F ~87% strong

1.82 5.80

✓ Prematch ready line ready 6 bookmakers 5 markets updated 02.09 06:18 UTC

line available on the match card 6 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 80.1% / 19.9%

Market 1 / 2: 81.1% / 18.9%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 6 · total 0

Tournament: International Chzhantszyagan

ITF Men - Singles: M15 Nonthaburi (Thailand), Hard Tennis

Tennis

ITF Men - Singles: M15 Nonthaburi (Thailand), Hard 02.09.2026 04:30 UTC NEUTRAL · MODEL CALCULATION

Kamput V

Weber A

🎯 PropickAI prediction

model probability · no colour signal

2 Weber A 92%

1 8% · 2 92%

🎯 Safe pick Match winner — Weber A ~95% banker

11.50 1.01

✓ Prematch ready 📊 extended stats line ready 3 bookmakers 3 markets updated 02.09 04:15 UTC

line available on the match card 3 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 9.7% / 90.3%

Market 1 / 2: 8.1% / 91.9%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 2 · total 0

Tournament: ITF Men - Singles: M15 Nonthaburi (Thailand), Hard

Tennis

ITF Men - Singles: M15 Nonthaburi (Thailand), Hard 02.09.2026 04:30 UTC NEUTRAL · MODEL CALCULATION

Muto S. (Iapo)

Hashimoto H. (Ssha)

🎯 PropickAI prediction

model probability · no colour signal

2 Hashimoto H. (Ssha) 72%

1 28% · 2 72%

🎯 Safe pick Match winner — Hashimoto H. (Ssha) ~79% confident

3.50 1.37

✓ Prematch ready line ready 5 bookmakers 3 markets updated 02.09 04:29 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 29.7% / 70.3%

Market 1 / 2: 28.9% / 71.1%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 5 · total 0

Tournament: ITF Men - Singles: M15 Nonthaburi (Thailand), Hard

Tennis

ITF Men - Singles: M15 Nonthaburi (Thailand), Hard 02.09.2026 04:30 UTC NEUTRAL · MODEL CALCULATION

Sato C. (Iapo)

Sumizava D. (Iapo)

🎯 PropickAI prediction

model probability · no colour signal

2 Sumizava D. (Iapo) 79%

1 21% · 2 79%

🎯 Safe pick Match winner — Sumizava D. (Iapo) ~87% strong

4.70 1.27

✓ Prematch ready line ready 5 bookmakers 3 markets updated 02.09 04:29 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 25.6% / 74.4%

Market 1 / 2: 24.4% / 75.6%

Favourite trap: no

Data completeness: 18%

Match context

Bookmaker coverage: 1×2 5 · total 0

Tournament: ITF Men - Singles: M15 Nonthaburi (Thailand), Hard

Tennis

ITF Men - Singles: M15 Nonthaburi (Thailand), Hard 02.09.2026 04:30 UTC NEUTRAL · MODEL CALCULATION

Srisen T. (Tai)

Mukund S. K. (Ind)

🎯 PropickAI prediction

model probability · no colour signal

2 Mukund S. K. (Ind) 92%

1 8% · 2 92%

🎯 Safe pick Match winner — Mukund S. K. (Ind) ~95% banker

11.50 1.01

✓ Prematch ready line ready 3 bookmakers 2 markets updated 02.09 04:15 UTC

line available on the match card 3 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 9.4% / 90.6%

Market 1 / 2: 8.1% / 91.9%

Favourite trap: no

Data completeness: 18%

Match context

Bookmaker coverage: 1×2 2 · total 0

Tournament: ITF Men - Singles: M15 Nonthaburi (Thailand), Hard

Tennis

ITF Men - Singles: M15 Nonthaburi (Thailand), Hard 02.09.2026 06:00 UTC NEUTRAL · MODEL CALCULATION

Bax F

Suzuki K. (Iapo)

🎯 PropickAI prediction

model probability · no colour signal

1 Bax F 88%

1 88% · 2 12%

🎯 Safe pick Match winner — Bax F ~95% banker

1.06 7.50

✓ Prematch ready 📊 extended stats line ready 3 bookmakers 3 markets updated 02.09 05:52 UTC

line available on the match card 3 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 86.2% / 13.8%

Market 1 / 2: 86.9% / 13.2%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 3 · total 0

Tournament: ITF Men - Singles: M15 Nonthaburi (Thailand), Hard

ITF Women - Doubles: W75 Tianjin (China), Hard Tennis

Tennis

ITF Women - Doubles: W75 Tianjin (China), Hard 02.09.2026 05:00 UTC NEUTRAL · MODEL CALCULATION

Aiukava M./Ye Q.

Fen Sh./Wang J.

🎯 PropickAI prediction

2 Fen Sh./Wang J. 53%

1 47% · 2 53%

1.96 1.76

✓ Prematch ready line ready 2 bookmakers 1 market updated 02.09 04:55 UTC

line available on the match card 2 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 47.0% / 53.0%

Market 1 / 2: 46.9% / 53.1%

Favourite trap: no

Data completeness: 18%

Match context

Bookmaker coverage: 1×2 2 · total 0

Tournament: ITF Women - Doubles: W75 Tianjin (China), Hard

Tennis

ITF Women - Doubles: W75 Tianjin (China), Hard 02.09.2026 05:00 UTC NEUTRAL · MODEL CALCULATION

Huang Yujia/Chzhen U.

Bak D./Kavaguti N.

🎯 PropickAI prediction

model probability · no colour signal

1 Huang Yujia/Chzhen U. 58%

1 58% · 2 42%

1.60 2.20

✓ Prematch ready line ready 2 bookmakers 1 market updated 02.09 04:45 UTC

line available on the match card 2 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 57.6% / 42.4%

Market 1 / 2: 57.8% / 42.2%

Favourite trap: no

Data completeness: 18%

Match context

Bookmaker coverage: 1×2 2 · total 0

Tournament: ITF Women - Doubles: W75 Tianjin (China), Hard

Tennis

ITF Women - Doubles: W75 Tianjin (China), Hard 02.09.2026 05:00 UTC NEUTRAL · MODEL CALCULATION

Li Ia./Ian I.

Khosogi S./Naito I.

🎯 PropickAI prediction

model probability · no colour signal

1 Li Ia./Ian I. 62%

1 62% · 2 38%

1.50 2.46

✓ Prematch ready line ready 3 bookmakers 1 market updated 02.09 04:55 UTC

line available on the match card 3 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 61.9% / 38.1%

Market 1 / 2: 62.2% / 37.8%

Favourite trap: no

Data completeness: 18%

Match context

Bookmaker coverage: 1×2 3 · total 0

Tournament: ITF Women - Doubles: W75 Tianjin (China), Hard

Challenger Men - Doubles: Zhangjiagang (China), Hard Tennis

Tennis

Challenger Men - Doubles: Zhangjiagang (China), Hard 02.09.2026 05:30 UTC NEUTRAL · MODEL CALCULATION

Nam D./Pak U.

Khuan Ts./Imamura M.

🎯 PropickAI prediction

model probability · no colour signal

1 Nam D./Pak U. 57%

1 57% · 2 43%

1.65 2.23

✓ Prematch ready 📊 extended stats line ready 2 bookmakers 1 market updated 02.09 05:15 UTC

line available on the match card 2 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 57.1% / 42.9%

Market 1 / 2: 57.3% / 42.7%

Favourite trap: no

Data completeness: 18%

Match context

Bookmaker coverage: 1×2 2 · total 0

Tournament: Challenger Men - Doubles: Zhangjiagang (China), Hard

Tennis

Challenger Men - Doubles: Zhangjiagang (China), Hard 02.09.2026 06:00 UTC NEUTRAL · MODEL CALCULATION

Jiang F./Zhang T.

Iasika O./Tomich B.

🎯 PropickAI prediction

2 Iasika O./Tomich B. 55%

1 45% · 2 55%

2.05 1.69

✓ Prematch ready line ready 1 bookmaker 1 market updated 02.09 05:45 UTC

line available on the match card 1 bookmaker Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 57.2% / 42.8%

Market 1 / 2: 45.2% / 54.8%

Favourite trap: no

Data completeness: 18%

Match context

Bookmaker coverage: 1×2 1 · total 0

Tournament: Challenger Men - Doubles: Zhangjiagang (China), Hard

Tennis

Challenger Men - Doubles: Zhangjiagang (China), Hard 02.09.2026 06:00 UTC NEUTRAL · MODEL CALCULATION

Kong W./Meng F.

Dileini Dzh./Dileini Dzh.

🎯 PropickAI prediction

model probability · no colour signal

2 Dileini Dzh./Dileini Dzh. 90%

1 10% · 2 90%

🎯 Safe pick Match winner — Dileini Dzh./Dileini Dzh. ~95% banker

9.00 1.03

✓ Prematch ready line ready 1 bookmaker 1 market updated 02.09 05:45 UTC

line available on the match card 1 bookmaker Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 44.5% / 55.5%

Market 1 / 2: 10.3% / 89.7%

Favourite trap: no

Data completeness: 18%

Match context

Bookmaker coverage: 1×2 1 · total 0

Tournament: Challenger Men - Doubles: Zhangjiagang (China), Hard

Tennis

Challenger Men - Doubles: Zhangjiagang (China), Hard 02.09.2026 07:00 UTC NEUTRAL · MODEL CALCULATION

Papa C./Zheng B.

Castelnuovo L / Santillan A

🎯 PropickAI prediction

1 Papa C./Zheng B. 50%

1 50% · 2 50%

1.85 1.85

✓ Prematch ready 📊 extended stats line ready 3 bookmakers 1 market updated 02.09 06:16 UTC

line available on the match card 3 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 50.2% / 49.8%

Market 1 / 2: 50.0% / 50.0%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 3 · total 0

Tournament: Challenger Men - Doubles: Zhangjiagang (China), Hard

Tennis

Challenger Men - Doubles: Zhangjiagang (China), Hard 02.09.2026 07:30 UTC NEUTRAL · MODEL CALCULATION

Bar Biryukov P / Lomakin G

Hsu Y. H./Sun F.

🎯 PropickAI prediction

2 Hsu Y. H./Sun F. 52%

1 48% · 2 52%

1.99 1.85

✓ Prematch ready 📊 extended stats line ready 3 bookmakers 1 market updated 02.09 06:16 UTC

line available on the match card 3 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 50.3% / 49.7%

Market 1 / 2: 50.0% / 50.0%

Favourite trap: no

Data completeness: 18%

Match context

Bookmaker coverage: 1×2 3 · total 0

Tournament: Challenger Men - Doubles: Zhangjiagang (China), Hard

ITF Men - Singles: M15 Wuning 7 (China), Hard Tennis

Tennis

ITF Men - Singles: M15 Wuning 7 (China), Hard 02.09.2026 05:30 UTC PRICE QUALITY

Chen X. D. (Kit)

Han X. (Kit)

🎯 PropickAI prediction

model probability · no colour signal

2 Han X. (Kit) 60%

1 40% · 2 60%

2.73 1.79

✓ Prematch ready line ready 5 bookmakers 3 markets updated 02.09 05:29 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 46.0% / 54.0%

Market 1 / 2: 45.9% / 54.1%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 5 · total 0

Tournament: ITF Men - Singles: M15 Wuning 7 (China), Hard

Tennis

ITF Men - Singles: M15 Wuning 7 (China), Hard 02.09.2026 05:30 UTC NEUTRAL · MODEL CALCULATION

Vickery L. (Avs)

Koyama H

🎯 PropickAI prediction

model probability · no colour signal

2 Koyama H 81%

1 19% · 2 81%

🎯 Safe pick Match winner — Koyama H ~87% strong

4.90 1.14

✓ Prematch ready 📊 extended stats line ready 3 bookmakers 3 markets updated 02.09 05:29 UTC

line available on the match card 3 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 19.9% / 80.1%

Market 1 / 2: 18.9% / 81.1%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 3 · total 0

Tournament: ITF Men - Singles: M15 Wuning 7 (China), Hard

Tennis

ITF Men - Singles: M15 Wuning 7 (China), Hard 02.09.2026 05:30 UTC NEUTRAL · MODEL CALCULATION

Vujic S

Talic Z. (Avs)

🎯 PropickAI prediction

model probability · no colour signal

1 Vujic S 92%

1 92% · 2 8%

🎯 Safe pick Match winner — Vujic S ~95% banker

1.03 11.50

✓ Prematch ready line ready 3 bookmakers 3 markets updated 02.09 05:29 UTC

line available on the match card 3 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 90.6% / 9.4%

Market 1 / 2: 91.8% / 8.2%

Favourite trap: no

Data completeness: 18%

Match context

Bookmaker coverage: 1×2 3 · total 0

Tournament: ITF Men - Singles: M15 Wuning 7 (China), Hard

Tennis

ITF Men - Singles: M15 Wuning 7 (China), Hard 02.09.2026 05:30 UTC NEUTRAL · MODEL CALCULATION

Liu Siu (Kit)

Van Tszen (Kit)

🎯 PropickAI prediction

model probability · no colour signal

1 Liu Siu (Kit) 64%

1 64% · 2 36%

2.17 3.80

✓ Prematch ready line ready 5 bookmakers 3 markets updated 02.09 05:15 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 72.2% / 27.8%

Market 1 / 2: 72.8% / 27.2%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 5 · total 0

Tournament: ITF Men - Singles: M15 Wuning 7 (China), Hard

ITF Men - Singles: M15 Bali 3 (Indonesia), Hard Tennis

Tennis

ITF Men - Singles: M15 Bali 3 (Indonesia), Hard 02.09.2026 06:00 UTC NEUTRAL · MODEL CALCULATION

Susanto A

Chauhan H. (Ind)

🎯 PropickAI prediction

model probability · no colour signal

2 Chauhan H. (Ind) 62%

1 38% · 2 62%

2.45 1.51

✓ Prematch ready 📊 extended stats line ready 5 bookmakers 3 markets updated 02.09 05:52 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 38.5% / 61.5%

Market 1 / 2: 38.2% / 61.8%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 5 · total 0

Tournament: ITF Men - Singles: M15 Bali 3 (Indonesia), Hard

International ATP Challenger. Zhangjiagang. Doubles Tennis

Tennis

International ATP Challenger. Zhangjiagang. Doubles 02.09.2026 06:00 UTC NEUTRAL · MODEL CALCULATION

Jiang Fumin / Zhang Tianhui

Jasika O / Tomic B

🎯 PropickAI prediction

2 Jasika O / Tomic B 54%

1 46% · 2 54%

2.02 1.70

✓ Prematch ready line ready 1 bookmaker 1 market updated 02.09 01:03 UTC

line available on the match card 1 bookmaker Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 61.0% / 39.0%

Market 1 / 2: 45.7% / 54.3%

Favourite trap: no

Data completeness: 33%

Match context

Bookmaker coverage: 1×2 1 · total 0

Tournament: International ATP Challenger. Zhangjiagang. Doubles

Tennis

International ATP Challenger. Zhangjiagang. Doubles 02.09.2026 07:00 UTC NEUTRAL · MODEL CALCULATION

Papa C / Zheng Baoluo

Kastelnuovo L / Santilian A

🎯 PropickAI prediction

1 Papa C / Zheng Baoluo 50%

1 50% · 2 50%

1.85 1.85

✓ Prematch ready line ready 1 bookmaker 1 market updated 02.09 01:16 UTC

line available on the match card 1 bookmaker Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 56.3% / 43.7%

Market 1 / 2: 50.0% / 50.0%

Favourite trap: no

Data completeness: 33%

Match context

Bookmaker coverage: 1×2 1 · total 0

Tournament: International ATP Challenger. Zhangjiagang. Doubles

ITF Women - Singles: W15 Brasov 2 (Romania), Clay Tennis

Tennis

ITF Women - Singles: W15 Brasov 2 (Romania), Clay 02.09.2026 07:00 UTC NEUTRAL · MODEL CALCULATION

Cirstea J. C. (Rum)

Stamatova J

🎯 PropickAI prediction

model probability · no colour signal

2 Stamatova J 71%

1 29% · 2 71%

🎯 Safe pick Match winner — Stamatova J ~79% confident

3.17 1.27

✓ Prematch ready 📊 extended stats line ready 1 bookmaker 3 markets updated 02.09 06:15 UTC

line available on the match card 1 bookmaker Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 61.9% / 38.1%

Market 1 / 2: 28.6% / 71.4%

Favourite trap: no

Data completeness: 18%

Match context

Bookmaker coverage: 1×2 1 · total 0

Tournament: ITF Women - Singles: W15 Brasov 2 (Romania), Clay

Tennis

ITF Women - Singles: W15 Brasov 2 (Romania), Clay 02.09.2026 07:00 UTC NEUTRAL · MODEL CALCULATION

Marcu T. (Rum)

Dumitru K. E. G. (Rum)

🎯 PropickAI prediction

model probability · no colour signal

1 Marcu T. (Rum) 71%

1 71% · 2 29%

🎯 Safe pick Match winner — Marcu T. (Rum) ~79% confident

1.33 3.25

✓ Prematch ready line ready 3 bookmakers 3 markets updated 02.09 06:16 UTC

line available on the match card 3 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 69.0% / 31.0%

Market 1 / 2: 69.6% / 30.4%

Favourite trap: no

Data completeness: 18%

Match context

Bookmaker coverage: 1×2 3 · total 0

Tournament: ITF Women - Singles: W15 Brasov 2 (Romania), Clay

Tennis

ITF Women - Singles: W15 Brasov 2 (Romania), Clay 02.09.2026 07:00 UTC NEUTRAL · MODEL CALCULATION

Popa G. S. (Rum)

Kryvoruchko S

🎯 PropickAI prediction

model probability · no colour signal

1 Popa G. S. (Rum) 89%

1 89% · 2 11%

🎯 Safe pick Match winner — Popa G. S. (Rum) ~95% banker

1.06 9.00

✓ Prematch ready 📊 extended stats line ready 5 bookmakers 3 markets updated 02.09 06:16 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 87.9% / 12.1%

Market 1 / 2: 89.0% / 11.0%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 5 · total 0

Tournament: ITF Women - Singles: W15 Brasov 2 (Romania), Clay

Tennis

ITF Women - Singles: W15 Brasov 2 (Romania), Clay 02.09.2026 07:00 UTC NEUTRAL · MODEL CALCULATION

Sandru I. M. (Rum)

Barbulescu B E

🎯 PropickAI prediction

model probability · no colour signal

2 Barbulescu B E 74%

1 26% · 2 74%

🎯 Safe pick Match winner — Barbulescu B E ~79% confident

3.70 1.30

✓ Prematch ready 📊 extended stats line ready 5 bookmakers 3 markets updated 02.09 06:16 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: 25.6% / 74.4%

Favourite trap: no

Data completeness: 29%

Match context

Bookmaker coverage: 1×2 5 · total 0

Tournament: ITF Women - Singles: W15 Brasov 2 (Romania), Clay

Tennis

ITF Women - Singles: W15 Brasov 2 (Romania), Clay 02.09.2026 07:00 UTC NEUTRAL · MODEL CALCULATION

Todoni C N

Sagmar I

🎯 PropickAI prediction

model probability · no colour signal

1 Todoni C N 81%

1 81% · 2 19%

🎯 Safe pick Match winner — Todoni C N ~87% strong

1.23 5.20

✓ Prematch ready 📊 extended stats line ready 5 bookmakers 3 markets updated 02.09 06:16 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 78.5% / 21.5%

Market 1 / 2: 79.0% / 21.0%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 5 · total 0

Tournament: ITF Women - Singles: W15 Brasov 2 (Romania), Clay

ITF Women - Doubles: W15 Brasov 2 (Romania), Clay Tennis

Tennis

ITF Women - Doubles: W15 Brasov 2 (Romania), Clay 02.09.2026 07:00 UTC NEUTRAL · MODEL CALCULATION

Cucu S./Sandru I. M.

Marinescu A./Sanduleasa I. I.

🎯 PropickAI prediction

model probability · no colour signal

1 Cucu S./Sandru I. M. 63%

1 63% · 2 37%

1.48 2.47

✓ Prematch ready line ready 3 bookmakers 1 market updated 02.09 06:16 UTC

line available on the match card 3 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 62.3% / 37.7%

Market 1 / 2: 62.4% / 37.6%

Favourite trap: no

Data completeness: 18%

Match context

Bookmaker coverage: 1×2 3 · total 0

Tournament: ITF Women - Doubles: W15 Brasov 2 (Romania), Clay

Tennis

ITF Women - Doubles: W15 Brasov 2 (Romania), Clay 02.09.2026 07:00 UTC NEUTRAL · MODEL CALCULATION

Nica B./Srutwa M.

Prishakariu A./Safta A.

🎯 PropickAI prediction

model probability · no colour signal

2 Prishakariu A./Safta A. 90%

1 10% · 2 90%

🎯 Safe pick Match winner — Prishakariu A./Safta A. ~95% banker

9.50 1.04

✓ Prematch ready line ready 3 bookmakers 1 market updated 02.09 06:16 UTC

line available on the match card 3 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 12.3% / 87.7%

Market 1 / 2: 11.0% / 89.0%

Favourite trap: no

Data completeness: 18%

Match context

Bookmaker coverage: 1×2 3 · total 0

Tournament: ITF Women - Doubles: W15 Brasov 2 (Romania), Clay

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.