AI tennis predictions for today: accurate ATP and WTA analytics

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

Tennis International US Open. Men. Qualifying Wild Card Challenge ● LIVE121'

Lehecka J

2

Samuel T

0

Live pick 1 Lehecka J 93%

Details

Tennis International US Open. Men. Qualifying Wild Card Challenge ● LIVE31'

Vacherot V

0

Majchrzak K

0

Live pick 1 Vacherot V 70%

Details

Tennis International US Open. Men. Qualifying Wild Card Challenge ● LIVE6'

Bublik A

0

Mannarino A

0

Live pick 1 Bublik A 83%

Details

Tennis International US Open. Men. Qualifying Wild Card Challenge ● LIVE66'

Duckworth J

0

Wu Yibing

1

Live pick 2 Wu Yibing 84%

Details

Tennis ATP - Singles: Open Championship USA (USA), Hard ● LIVE31'

Berrettini M

1

Navone M

0

Live pick 1 Berrettini M 75%

Details

Tennis International US Open. Men. Qualifying Wild Card Challenge ● LIVE46'

Sakamoto R

0

Tiafoe F

0

Live pick 2 Tiafoe F 84%

Details

Tennis International US Open. Women ● LIVE121'

Wang Xinyu

1

Kalinskaya A

1

Live pick 2 Kalinskaya A 84%

Details

Tennis International US Open. Men. Qualifying Wild Card Challenge ● LIVE121'

Harris L

1

Tsitsipas S

1

Live pick 2 Tsitsipas S 70%

Details

Tennis International World Tennis. Women. Brazil ● LIVE75'

Cruz A / Kawano Cho G

0

Dourado J R / Sanchez Uribe M J

0

Live pick 2 Dourado J R / Sanchez Uribe M J 59%

Details

Tennis International US Open. Women ● LIVE25'

Li A

0

Vekic D

0

Live pick 1 Li A 65%

Details

International US Open. Men. Qualifying Wild Card Challenge Tennis

Tennis

International US Open. Men. Qualifying Wild Card Challenge 03.09.2026 00:30 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data

Faria J

Alkaras K. (Isp)

🎯 PropickAI prediction

model probability · no colour signal

2 Alkaras K. (Isp) 90%

1 10% · 2 90%

🎯 Safe pick Match winner — Alkaras K. (Isp) ~95% banker

9.50 1.08

✓ Prematch ready line ready 4 bookmakers 5 markets updated 03.09 01:50 UTC

line available on the match card 4 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 12.3% / 87.7%

Market 1 / 2: 11.2% / 88.9%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 4 · total 0

Tournament: International US Open. Men. Qualifying Wild Card Challenge

International US Open. Women Tennis

Tennis

International US Open. Women 03.09.2026 00:50 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data

Svitolina E

Joint M

🎯 PropickAI prediction

model probability · no colour signal

1 Svitolina E 88%

1 88% · 2 12%

🎯 Safe pick Match winner — Svitolina E ~95% banker

1.11 7.80

✓ Prematch ready 📊 extended stats line ready 5 bookmakers 5 markets updated 03.09 01:50 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 85.0% / 15.0%

Market 1 / 2: 85.7% / 14.3%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 5 · total 0

Tournament: International US Open. Women

WTA - Singles: Open Championship USA (USA), Hard Tennis

Tennis

WTA - Singles: Open Championship USA (USA), Hard 03.09.2026 01:00 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data

Tararudee L

Noskova L

🎯 PropickAI prediction

model probability · no colour signal

2 Noskova L 82%

1 18% · 2 82%

🎯 Safe pick Match winner — Noskova L ~88% strong

5.69 1.23

✓ Prematch ready 📊 extended stats line ready 5 bookmakers 5 markets updated 03.09 01:43 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 21.8% / 78.2%

Market 1 / 2: 21.1% / 79.0%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 5 · total 0

Tournament: WTA - Singles: Open Championship USA (USA), Hard

ITF Men - Singles: M25 Urayasu (Japan), Hard Tennis

Tennis

ITF Men - Singles: M25 Urayasu (Japan), Hard 03.09.2026 01:00 UTC NEUTRAL · MODEL CALCULATION

Ichikawa T

Matsuda Ryuki

🎯 PropickAI prediction

1 Ichikawa T 52%

1 52% · 2 48%

1.81 1.95

✓ Prematch ready line ready 3 bookmakers 3 markets updated 03.09 00:57 UTC

line available on the match card 3 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 50.8% / 49.2%

Market 1 / 2: 51.1% / 48.9%

Favourite trap: no

Data completeness: 29%

Match context

Bookmaker coverage: 1×2 3 · total 0

Tournament: ITF Men - Singles: M25 Urayasu (Japan), Hard

Tennis

ITF Men - Singles: M25 Urayasu (Japan), Hard 03.09.2026 01:00 UTC NEUTRAL · MODEL CALCULATION

Tanuma R

Shiraishi H

🎯 PropickAI prediction

model probability · no colour signal

2 Shiraishi H 70%

1 30% · 2 70%

🎯 Safe pick Match winner — Shiraishi H ~79% confident

3.19 1.34

✓ Prematch ready line ready 3 bookmakers 3 markets updated 03.09 00:57 UTC

line available on the match card 3 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 31.4% / 68.6%

Market 1 / 2: 30.9% / 69.1%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 3 · total 0

Tournament: ITF Men - Singles: M25 Urayasu (Japan), Hard

Tennis

ITF Men - Singles: M25 Urayasu (Japan), Hard 03.09.2026 01:00 UTC PRICE QUALITY

Honda N

Nakagawa N

🎯 PropickAI prediction

model probability · no colour signal

2 Nakagawa N 57%

1 43% · 2 57%

2.20 1.64

✓ Prematch ready line ready 5 bookmakers 3 markets updated 03.09 00:58 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 43.2% / 56.8%

Market 1 / 2: 43.1% / 56.9%

Favourite trap: no

Data completeness: 29%

Match context

Bookmaker coverage: 1×2 5 · total 0

Tournament: ITF Men - Singles: M25 Urayasu (Japan), Hard

Tennis

ITF Men - Singles: M25 Urayasu (Japan), Hard 03.09.2026 01:00 UTC NEUTRAL · MODEL CALCULATION

Saitoh K

Ferguson C

🎯 PropickAI prediction

1 Saitoh K 53%

1 53% · 2 47%

1.79 2.03

✓ Prematch ready 📊 extended stats line ready 5 bookmakers 3 markets updated 03.09 00:58 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 52.5% / 47.5%

Market 1 / 2: 52.6% / 47.4%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 5 · total 0

Tournament: ITF Men - Singles: M25 Urayasu (Japan), Hard

Tennis

ITF Men - Singles: M25 Urayasu (Japan), Hard 03.09.2026 02:30 UTC NEUTRAL · MODEL CALCULATION

Mitsui S

Koizumi N

🎯 PropickAI prediction

model probability · no colour signal

1 Mitsui S 83%

1 83% · 2 17%

🎯 Safe pick Match winner — Mitsui S ~88% strong

1.13 5.50

✓ Prematch ready line ready 5 bookmakers 3 markets updated 03.09 01:49 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 82.1% / 17.9%

Market 1 / 2: 83.0% / 17.1%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 5 · total 0

Tournament: ITF Men - Singles: M25 Urayasu (Japan), Hard

Tennis

ITF Men - Singles: M25 Urayasu (Japan), Hard 03.09.2026 02:30 UTC NEUTRAL · MODEL CALCULATION

Fukuda S

Sekulic P

🎯 PropickAI prediction

model probability · no colour signal

2 Sekulic P 72%

1 28% · 2 72%

🎯 Safe pick Match winner — Sekulic P ~79% confident

3.40 1.32

✓ Prematch ready line ready 5 bookmakers 3 markets updated 03.09 01:49 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 29.4% / 70.6%

Market 1 / 2: 28.4% / 71.6%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 5 · total 0

Tournament: ITF Men - Singles: M25 Urayasu (Japan), Hard

Tennis

ITF Men - Singles: M25 Urayasu (Japan), Hard 03.09.2026 02:30 UTC NEUTRAL · MODEL CALCULATION

Erel Y

Oki Y

🎯 PropickAI prediction

model probability · no colour signal

1 Erel Y 83%

1 83% · 2 17%

🎯 Safe pick Match winner — Erel Y ~88% strong

1.14 5.60

✓ Prematch ready line ready 5 bookmakers 3 markets updated 03.09 01:49 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 81.3% / 18.7%

Market 1 / 2: 81.9% / 18.1%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 5 · total 0

Tournament: ITF Men - Singles: M25 Urayasu (Japan), Hard

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

Tennis

ITF Men - Doubles: M15 Wuning 7 (China), Hard 03.09.2026 01:30 UTC NEUTRAL · MODEL CALCULATION

Jones Alex / Jones Miles

Choe J./Kim G. J.

🎯 PropickAI prediction

model probability · no colour signal

1 Jones Alex / Jones Miles 64%

1 64% · 2 36%

1.41 2.55

✓ Prematch ready 📊 extended stats line ready 1 bookmaker 1 market updated 03.09 01:27 UTC

line available on the match card 1 bookmaker Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 54.3% / 45.7%

Market 1 / 2: 64.4% / 35.6%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 1 · total 0

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

Tennis

ITF Men - Doubles: M15 Wuning 7 (China), Hard 03.09.2026 01:30 UTC NEUTRAL · MODEL CALCULATION

Liu Siu/Yang X.

Sinkler K./Vuiich S.

🎯 PropickAI prediction

model probability · no colour signal

2 Sinkler K./Vuiich S. 62%

1 38% · 2 62%

2.45 1.49

✓ Prematch ready line ready 3 bookmakers 1 market updated 03.09 01:28 UTC

line available on the match card 3 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 38.6% / 61.4%

Market 1 / 2: 38.0% / 62.0%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 3 · total 0

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

Tennis

ITF Men - Doubles: M15 Wuning 7 (China), Hard 03.09.2026 01:30 UTC NEUTRAL · MODEL CALCULATION

Persell M./Van Tszen

Jin Yuquan / Sun Qian

🎯 PropickAI prediction

model probability · no colour signal

2 Jin Yuquan / Sun Qian 61%

1 39% · 2 61%

2.85 1.82

✓ Prematch ready line ready 3 bookmakers 3 markets updated 03.09 01:28 UTC

line available on the match card 3 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 34.3% / 65.7%

Market 1 / 2: 33.9% / 66.1%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 3 · total 0

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

Tennis

ITF Men - Doubles: M15 Wuning 7 (China), Hard 03.09.2026 01:30 UTC PRICE QUALITY

Sun Z./Van Ian

Chen X./Trongcharoenchaikul V.

🎯 PropickAI prediction

model probability · no colour signal

2 Chen X./Trongcharoenchaikul V. 82%

1 18% · 2 82%

🎯 Safe pick Match winner — Chen X./Trongcharoenchaikul V. ~88% strong

6.75 1.50

✓ Prematch ready line ready 5 bookmakers 3 markets updated 03.09 01:28 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 20.1% / 79.9%

Market 1 / 2: 19.0% / 81.0%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 5 · total 0

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

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

Tennis

ITF Women - Singles: W75 Tianjin (China), Hard 03.09.2026 02:00 UTC NEUTRAL · MODEL CALCULATION

Yamaguchi Mei

Bai Ch. (Kit)

🎯 PropickAI prediction

model probability · no colour signal

2 Bai Ch. (Kit) 73%

1 27% · 2 73%

🎯 Safe pick Match winner — Bai Ch. (Kit) ~79% confident

3.51 1.28

✓ Prematch ready line ready 5 bookmakers 3 markets updated 03.09 01:49 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 27.0% / 73.0%

Market 1 / 2: 26.5% / 73.5%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 5 · total 0

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

Tennis

ITF Women - Singles: W75 Tianjin (China), Hard 03.09.2026 02:00 UTC NEUTRAL · MODEL CALCULATION

Garlend Dzh. (Tvn)

Kulikova A

🎯 PropickAI prediction

model probability · no colour signal

1 Garlend Dzh. (Tvn) 70%

1 70% · 2 30%

🎯 Safe pick Match winner — Garlend Dzh. (Tvn) ~79% confident

1.42 3.30

✓ Prematch ready line ready 5 bookmakers 3 markets updated 03.09 01:49 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 66.5% / 33.5%

Market 1 / 2: 67.0% / 33.0%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 5 · total 0

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

Tennis

ITF Women - Singles: W75 Tianjin (China), Hard 03.09.2026 02:00 UTC PRICE QUALITY

Nugroho P. M. (Inz)

Morvayova V

🎯 PropickAI prediction

model probability · no colour signal

1 Nugroho P. M. (Inz) 66%

1 66% · 2 34%

🎯 Safe pick Match winner — Nugroho P. M. (Inz) ~79% confident

1.44 2.75

✓ Prematch ready line ready 5 bookmakers 3 markets updated 03.09 01:49 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 64.5% / 35.5%

Market 1 / 2: 64.5% / 35.5%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 5 · total 0

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

Tennis

ITF Women - Singles: W75 Tianjin (China), Hard 03.09.2026 02:00 UTC NEUTRAL · MODEL CALCULATION

Kaji H

Shi Han

🎯 PropickAI prediction

model probability · no colour signal

2 Shi Han 72%

1 28% · 2 72%

🎯 Safe pick Match winner — Shi Han ~79% confident

3.35 1.28

✓ Prematch ready 📊 extended stats line ready 3 bookmakers 3 markets updated 03.09 01:49 UTC

line available on the match card 3 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 27.9% / 72.1%

Market 1 / 2: 27.5% / 72.5%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 3 · total 0

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

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

Tennis

ITF Men - Singles: M15 Wuning 7 (China), Hard 03.09.2026 02:00 UTC NEUTRAL · MODEL CALCULATION

Kim Geun Jun

Dzhons A. (Ssha)

🎯 PropickAI prediction

model probability · no colour signal

1 Kim Geun Jun 73%

1 73% · 2 27%

🎯 Safe pick Match winner — Kim Geun Jun ~79% confident

1.24 3.42

✓ Prematch ready line ready 1 bookmaker 3 markets updated 03.09 01:42 UTC

line available on the match card 1 bookmaker Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 58.8% / 41.2%

Market 1 / 2: 73.4% / 26.6%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 1 · total 0

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

Tennis

ITF Men - Singles: M15 Wuning 7 (China), Hard 03.09.2026 02:00 UTC NEUTRAL · MODEL CALCULATION

Yang Z. (Kit)

Trongcharoenchaikul W

🎯 PropickAI prediction

model probability · no colour signal

2 Trongcharoenchaikul W 81%

1 19% · 2 81%

🎯 Safe pick Match winner — Trongcharoenchaikul W ~88% strong

4.90 1.14

✓ Prematch ready line ready 5 bookmakers 3 markets updated 03.09 01:49 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 20.1% / 79.9%

Market 1 / 2: 18.9% / 81.1%

Favourite trap: no

Data completeness: 18%

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 03.09.2026 03:00 UTC NEUTRAL · MODEL CALCULATION

Koyama H

Sun Qian

🎯 PropickAI prediction

1 Koyama H 52%

1 52% · 2 48%

1.81 1.95

✓ Prematch ready line ready 5 bookmakers 3 markets updated 03.09 01:49 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 51.3% / 48.7%

Market 1 / 2: 51.4% / 48.7%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 5 · total 0

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

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

Tennis

Challenger Men - Singles: Zhangjiagang (China), Hard 03.09.2026 03:00 UTC NEUTRAL · MODEL CALCULATION 🤖 AI read ready 📊 Rich data

Simakin I

Dellavedova M

🎯 PropickAI prediction

model probability · no colour signal

1 Simakin I 67%

1 67% · 2 33%

🎯 Safe pick Match winner — Simakin I ~79% confident

1.43 2.95

✓ Prematch ready line ready 6 bookmakers 5 markets updated 03.09 01:49 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: 67.2% / 32.8%

Market 1 / 2: 68.0% / 32.0%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 6 · total 0

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

Tennis

Challenger Men - Singles: Zhangjiagang (China), Hard 03.09.2026 03:00 UTC NEUTRAL · MODEL CALCULATION 🤖 AI read ready 📊 Rich data

Santillan A

Ivashka I

🎯 PropickAI prediction

model probability · no colour signal

2 Ivashka I 71%

1 29% · 2 71%

🎯 Safe pick Match winner — Ivashka I ~79% confident

3.20 1.33

✓ Prematch ready 📊 extended stats line ready 6 bookmakers 5 markets updated 03.09 01:49 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: 29.8% / 70.2%

Market 1 / 2: 29.4% / 70.6%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 6 · total 0

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

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

Tennis

ITF Men - Singles: M15 Bali 3 (Indonesia), Hard 03.09.2026 03:00 UTC NEUTRAL · MODEL CALCULATION

Becroft I

Chen Yan Cheng

🎯 PropickAI prediction

model probability · no colour signal

1 Becroft I 80%

1 80% · 2 20%

🎯 Safe pick Match winner — Becroft I ~88% strong

1.19 4.80

✓ Prematch ready 📊 extended stats line ready 5 bookmakers 3 markets updated 03.09 01:49 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 78.8% / 21.2%

Market 1 / 2: 79.5% / 20.5%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 5 · total 0

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

Tennis

ITF Men - Singles: M15 Bali 3 (Indonesia), Hard 03.09.2026 03:00 UTC NEUTRAL · MODEL CALCULATION

Susanto A

Barki N. A. (Inz)

🎯 PropickAI prediction

model probability · no colour signal

2 Barki N. A. (Inz) 77%

1 23% · 2 77%

🎯 Safe pick Match winner — Barki N. A. (Inz) ~87% strong

4.30 1.26

✓ Prematch ready line ready 5 bookmakers 3 markets updated 03.09 01:49 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 23.2% / 76.8%

Market 1 / 2: 22.5% / 77.5%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 5 · total 0

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

Tennis

ITF Men - Singles: M15 Bali 3 (Indonesia), Hard 03.09.2026 03:00 UTC NEUTRAL · MODEL CALCULATION

Ha Minh Duc Vu

Borg L

🎯 PropickAI prediction

model probability · no colour signal

2 Borg L 93%

1 7% · 2 93%

🎯 Safe pick Match winner — Borg L ~95% banker

14.00 1.03

✓ Prematch ready line ready 5 bookmakers 3 markets updated 03.09 01:49 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 8.2% / 91.8%

Market 1 / 2: 6.8% / 93.2%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 4 · total 0

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

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

Tennis

ITF Men - Singles: M15 Nonthaburi (Thailand), Hard 03.09.2026 03:00 UTC NEUTRAL · MODEL CALCULATION

Chanta T. (Tai)

O'Connell B. (Avs)

🎯 PropickAI prediction

model probability · no colour signal

1 Chanta T. (Tai) 71%

1 71% · 2 29%

🎯 Safe pick Match winner — Chanta T. (Tai) ~79% confident

1.34 3.30

✓ Prematch ready line ready 5 bookmakers 3 markets updated 03.09 01:49 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 68.4% / 31.6%

Market 1 / 2: 69.1% / 30.9%

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 03.09.2026 03:00 UTC NEUTRAL · MODEL CALCULATION

Dong Chen

Sureshkumar M

🎯 PropickAI prediction

model probability · no colour signal

2 Sureshkumar M 69%

1 31% · 2 69%

🎯 Safe pick Match winner — Sureshkumar M ~79% confident

3.00 1.35

✓ Prematch ready line ready 5 bookmakers 3 markets updated 03.09 01:49 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 32.0% / 68.0%

Market 1 / 2: 31.4% / 68.6%

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 03.09.2026 03:00 UTC NEUTRAL · MODEL CALCULATION

Suksumrarn T. (Tai)

Hashimoto H. (Ssha)

🎯 PropickAI prediction

2 Hashimoto H. (Ssha) 52%

1 48% · 2 52%

2.02 1.87

✓ Prematch ready line ready 5 bookmakers 3 markets updated 03.09 01:49 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 48.1% / 51.9%

Market 1 / 2: 47.8% / 52.2%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 5 · total 0

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

AI tennis predictions: professional match breakdown

Lehecka J

Samuel T

Vacherot V

Majchrzak K

Bublik A

Mannarino A

Duckworth J

Wu Yibing

Berrettini M

Navone M

Sakamoto R

Tiafoe F

Wang Xinyu

Kalinskaya A

Harris L

Tsitsipas S

Cruz A / Kawano Cho G

Dourado J R / Sanchez Uribe M J

Li A

Vekic D

Faria J

Alkaras K. (Isp)

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Svitolina E

Joint M

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Tararudee L

Noskova L

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Ichikawa T

Matsuda Ryuki

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Tanuma R

Shiraishi H

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Honda N

Nakagawa N

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Saitoh K

Ferguson C

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Mitsui S

Koizumi N

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Fukuda S

Sekulic P

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Erel Y

Oki Y

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Jones Alex / Jones Miles

Choe J./Kim G. J.

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Liu Siu/Yang X.

Sinkler K./Vuiich S.

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Persell M./Van Tszen

Jin Yuquan / Sun Qian

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Sun Z./Van Ian

Chen X./Trongcharoenchaikul V.

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Yamaguchi Mei

Bai Ch. (Kit)

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