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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LIVE now In-play matches

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

Tennis WTA - Singles: Open Championship USA (USA), Hard ● LIVE49'

Cocciaretto E

Siniakova K

Live pick 2 Siniakova K 94%

Details

Tennis ATP - Singles: Open Championship USA (USA), Hard ● LIVE44'

Mensik J

Mochizuki S

Live pick 1 Mensik J 92%

Details

Tennis ATP - Singles: Open Championship USA (USA), Hard ● LIVE44'

Shelton B

Griekspoor T

Live pick 1 Shelton B 67%

Details

Tennis International US Open. Men. Qualifying Wild Card Challenge ● LIVE39'

Auger-Aliassime F

Hijikata R

Live pick 1 Auger-Aliassime F 75%

Details

Tennis ATP - Singles: Open Championship USA (USA), Hard ● LIVE44'

Dimitrov G

Popyrin A

Live pick 1 Dimitrov G 74%

Details

Tennis ATP - Singles: Open Championship USA (USA), Hard ● LIVE74'

Borges N

Tien L

Live pick 2 Tien L 82%

Details

Tennis International US Open. Men. Qualifying Wild Card Challenge ● LIVE94'

Halys Q

Diaz Acosta F

Live pick 1 Halys Q 94%

Details

Tennis International UTR Pro. Women. Waco ● LIVE75'

Ustic M

Psonka J

Live pick 2 Psonka J 90%

Details

Tennis International UTR Pro. Men. Waco ● LIVE95'

Hidalgo J S

Hedgecoe D

Live pick 2 Hedgecoe D 89%

Details

Tennis International US Open. Women ● LIVE35'

Swiatek I

Wang Xiyu

Live pick 1 Swiatek I 92%

Details

Tennis International US Open. Men. Qualifying Wild Card Challenge ● LIVE125'

Shang Juncheng

Trungelliti M

Live pick 1 Shang Juncheng 85%

Details

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

Tennis

ATP - Singles: Open Championship USA (USA), Hard 01.09.2026 00:30 UTC NEUTRAL · MODEL CALCULATION

Damm M

Tiafo F. (Ssha)

🎯 PropickAI prediction

model probability · no colour signal

1 Damm M 62%

1 62% · 2 38%

3.85 6.30

✓ Prematch ready line ready 4 bookmakers 3 markets updated 01.09 00:15 UTC

line available on the match card 4 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 25.3% / 74.7%

Market 1 / 2: 24.8% / 75.2%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 4 · total 0

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

International US Open. Men. Qualifying Wild Card Challenge Tennis

Tennis

International US Open. Men. Qualifying Wild Card Challenge 01.09.2026 00:30 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data

Damm M

Tiafoe F

🎯 PropickAI prediction

model probability · no colour signal

2 Tiafoe F 78%

1 22% · 2 78%

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

4.40 1.25

✓ Prematch ready 📊 extended stats line ready 6 bookmakers 5 markets updated 01.09 01:47 UTC

line available on the match card 6 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 24.5% / 75.5%

Market 1 / 2: 23.6% / 76.4%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 6 · total 0

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

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

Tennis

WTA - Singles: Open Championship USA (USA), Hard 01.09.2026 01:00 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data

Osaka N

Zakharova A

🎯 PropickAI prediction

model probability · no colour signal

1 Osaka N 87%

1 87% · 2 13%

🎯 Safe pick Match winner — Osaka N ~95% banker

1.10 7.30

✓ Prematch ready 📊 extended stats line ready 6 bookmakers 5 markets updated 01.09 01:48 UTC

line available on the match card 6 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 85.9% / 14.1%

Market 1 / 2: 86.9% / 13.2%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 6 · 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 01.09.2026 01:00 UTC NEUTRAL · MODEL CALCULATION

Takahata R

Koizumi N

🎯 PropickAI prediction

model probability · no colour signal

2 Koizumi N 66%

1 34% · 2 66%

🎯 Safe pick Match winner — Koizumi N ~79% confident

2.90 1.52

✓ Prematch ready 📊 extended stats line ready 5 bookmakers 3 markets updated 01.09 00:55 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 36.3% / 63.7%

Market 1 / 2: 36.0% / 64.0%

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 01.09.2026 01:00 UTC NEUTRAL · MODEL CALCULATION

Mitsui S

Nakagawa S

🎯 PropickAI prediction

model probability · no colour signal

1 Mitsui S 83%

1 83% · 2 17%

🎯 Safe pick Match winner — Mitsui S ~87% strong

1.14 5.60

✓ Prematch ready line ready 5 bookmakers 3 markets updated 01.09 00:55 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 81.2% / 18.8%

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

Tennis

ITF Men - Singles: M25 Urayasu (Japan), Hard 01.09.2026 01:00 UTC NEUTRAL · MODEL CALCULATION

Saitoh K

Okabe S. (Iapo)

🎯 PropickAI prediction

model probability · no colour signal

1 Saitoh K 92%

1 92% · 2 8%

🎯 Safe pick Match winner — Saitoh K ~95% banker

1.03 12.50

✓ Prematch ready 📊 extended stats line ready 5 bookmakers 1 market updated 01.09 00:55 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 90.5% / 9.5%

Market 1 / 2: 91.5% / 8.5%

Favourite trap: no

Data completeness: 18%

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 01.09.2026 01:00 UTC NEUTRAL · MODEL CALCULATION

Tanuma R

Kavakhasi Iu. (Iapo)

🎯 PropickAI prediction

1 Tanuma R 54%

1 54% · 2 46%

1.70 2.03

✓ Prematch ready line ready 1 bookmaker 3 markets updated 01.09 00:55 UTC

line available on the match card 1 bookmaker Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 58.4% / 41.6%

Market 1 / 2: 54.4% / 45.6%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 1 · total 0

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

Tennis

ITF Men - Singles: M25 Urayasu (Japan), Hard 01.09.2026 02:00 UTC NEUTRAL · MODEL CALCULATION

Oki Y

Imai S

🎯 PropickAI prediction

model probability · no colour signal

2 Imai S 71%

1 29% · 2 71%

🎯 Safe pick Match winner — Imai S ~79% confident

3.18 1.33

✓ Prematch ready line ready 5 bookmakers 3 markets updated 01.09 01:45 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 30.2% / 69.8%

Market 1 / 2: 29.9% / 70.1%

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 01.09.2026 02:00 UTC NEUTRAL · MODEL CALCULATION

Ichikawa T

Roddick J

🎯 PropickAI prediction

model probability · no colour signal

2 Roddick J 57%

1 43% · 2 57%

2.17 1.61

✓ Prematch ready line ready 3 bookmakers 3 markets updated 01.09 01:45 UTC

line available on the match card 3 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 43.1% / 56.9%

Market 1 / 2: 42.6% / 57.4%

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 01.09.2026 02:00 UTC NEUTRAL · MODEL CALCULATION

Ochi M

Tanaka Y

🎯 PropickAI prediction

model probability · no colour signal

1 Ochi M 62%

1 62% · 2 38%

1.49 2.43

✓ Prematch ready 📊 extended stats line ready 3 bookmakers 3 markets updated 01.09 01:45 UTC

line available on the match card 3 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 62.0% / 38.0%

Market 1 / 2: 62.0% / 38.0%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 3 · total 0

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

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

Tennis

ITF Women - Singles: W75 Tianjin (China), Hard 01.09.2026 02:00 UTC NEUTRAL · MODEL CALCULATION

Wang JiaYi

Bai Ch. (Kit)

🎯 PropickAI prediction

model probability · no colour signal

2 Bai Ch. (Kit) 78%

1 22% · 2 78%

🎯 Safe pick Match winner — Bai Ch. (Kit) ~87% strong

4.31 1.21

✓ Prematch ready line ready 3 bookmakers 3 markets updated 01.09 01:45 UTC

line available on the match card 3 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 24.9% / 75.1%

Market 1 / 2: 23.7% / 76.3%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 3 · total 0

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

Tennis

ITF Women - Singles: W75 Tianjin (China), Hard 01.09.2026 02:00 UTC PRICE QUALITY

Kulikova A

Yao Xinxin

🎯 PropickAI prediction

2 Yao Xinxin 51%

1 49% · 2 51%

1.94 1.87

✓ Prematch ready 📊 extended stats line ready 5 bookmakers 3 markets updated 01.09 01:45 UTC

line available on the match card 5 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 5 · total 0

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

Tennis

ITF Women - Singles: W75 Tianjin (China), Hard 01.09.2026 02:00 UTC NEUTRAL · MODEL CALCULATION

Naito Y

Astakhova D

🎯 PropickAI prediction

model probability · no colour signal

2 Astakhova D 66%

1 34% · 2 66%

🎯 Safe pick Match winner — Astakhova D ~79% confident

2.85 1.45

✓ Prematch ready 📊 extended stats line ready 3 bookmakers 3 markets updated 01.09 01:45 UTC

line available on the match card 3 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 35.2% / 64.8%

Market 1 / 2: 34.7% / 65.3%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 3 · total 0

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

Tennis

ITF Women - Singles: W75 Tianjin (China), Hard 01.09.2026 02:00 UTC NEUTRAL · MODEL CALCULATION

Yamaguchi Mei

Back Dayeon

🎯 PropickAI prediction

model probability · no colour signal

2 Back Dayeon 64%

1 36% · 2 64%

2.55 1.46

✓ Prematch ready 📊 extended stats line ready 3 bookmakers 3 markets updated 01.09 01:45 UTC

line available on the match card 3 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 36.6% / 63.4%

Market 1 / 2: 36.4% / 63.6%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 3 · total 0

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

Tennis

ITF Women - Singles: W75 Tianjin (China), Hard 01.09.2026 03:00 UTC NEUTRAL · MODEL CALCULATION

Huang Yujia (Kit)

Ma YeXin

🎯 PropickAI prediction

model probability · no colour signal

2 Ma YeXin 61%

1 39% · 2 61%

2.47 1.55

✓ Prematch ready line ready 5 bookmakers 3 markets updated 01.09 01:45 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 38.4% / 61.6%

Market 1 / 2: 38.2% / 61.8%

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 01.09.2026 03:00 UTC NEUTRAL · MODEL CALCULATION

Wang J. (Kit)

Ian I. (Kit)

🎯 PropickAI prediction

model probability · no colour signal

1 Wang J. (Kit) 86%

1 86% · 2 14%

🎯 Safe pick Match winner — Wang J. (Kit) ~95% banker

1.07 6.75

✓ Prematch ready line ready 2 bookmakers 1 market updated 01.09 01:31 UTC

line available on the match card 2 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 85.3% / 14.7%

Market 1 / 2: 86.3% / 13.7%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 2 · total 0

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

Tennis

ITF Women - Singles: W75 Tianjin (China), Hard 01.09.2026 03:00 UTC NEUTRAL · MODEL CALCULATION

Kuramochi M. (Iapo)

Inoue H

🎯 PropickAI prediction

2 Inoue H 53%

1 47% · 2 53%

1.95 1.76

✓ Prematch ready 📊 extended stats line ready 3 bookmakers 3 markets updated 01.09 01:45 UTC

line available on the match card 3 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 47.4% / 52.6%

Market 1 / 2: 47.4% / 52.6%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 3 · total 0

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

Tennis

ITF Women - Singles: W75 Tianjin (China), Hard 01.09.2026 03:00 UTC NEUTRAL · MODEL CALCULATION

Okamura K

Sidorova K

🎯 PropickAI prediction

model probability · no colour signal

2 Sidorova K 64%

1 36% · 2 64%

2.65 1.47

✓ Prematch ready 📊 extended stats line ready 5 bookmakers 3 markets updated 01.09 01:45 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: 36.3% / 63.8%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 5 · total 0

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

International Chzhantszyagan Tennis

Tennis

International Chzhantszyagan 01.09.2026 03:00 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data

Hsu Yu Hsiou

Ymer E

🎯 PropickAI prediction

model probability · no colour signal

1 Hsu Yu Hsiou 60%

1 60% · 2 40%

1.55 2.30

✓ Prematch ready line ready 1 bookmaker 5 markets updated 31.08 23:17 UTC

line available on the match card 1 bookmaker Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 62.5% / 37.5%

Market 1 / 2: 59.7% / 40.3%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 1 · total 0

Tournament: International Chzhantszyagan

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

Tennis

Challenger Men - Singles: Zhangjiagang (China), Hard 01.09.2026 03:00 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data

Castelnuovo L

Dellavedova M

🎯 PropickAI prediction

model probability · no colour signal

2 Dellavedova M 64%

1 36% · 2 64%

2.63 1.48

✓ Prematch ready 📊 extended stats line ready 6 bookmakers 5 markets updated 01.09 01:45 UTC

line available on the match card 6 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 37.2% / 62.8%

Market 1 / 2: 37.1% / 62.9%

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 01.09.2026 03:00 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data

Simakin I

Yevseyev D

🎯 PropickAI prediction

model probability · no colour signal

1 Simakin I 76%

1 76% · 2 24%

🎯 Safe pick Match winner — Simakin I ~87% strong

1.25 3.90

✓ Prematch ready 📊 extended stats line ready 4 bookmakers 5 markets updated 01.09 01:45 UTC

line available on the match card 4 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 74.7% / 25.3%

Market 1 / 2: 75.3% / 24.8%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 4 · total 0

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

Tennis

Challenger Men - Singles: Zhangjiagang (China), Hard 01.09.2026 03:00 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data

Tomic B

Imamura M

🎯 PropickAI prediction

model probability · no colour signal

1 Tomic B 64%

1 64% · 2 36%

1.49 2.63

✓ Prematch ready 📊 extended stats line ready 6 bookmakers 5 markets updated 01.09 01:45 UTC

line available on the match card 6 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 64.2% / 35.8%

Market 1 / 2: 64.3% / 35.7%

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 01.09.2026 03:00 UTC NEUTRAL · MODEL CALCULATION

Barki N. A. (Inz)

Perez Ramos P

🎯 PropickAI prediction

model probability · no colour signal

2 Perez Ramos P 77%

1 23% · 2 77%

🎯 Safe pick Match winner — Perez Ramos P ~87% strong

4.00 1.21

✓ Prematch ready 📊 extended stats line ready 3 bookmakers 1 market updated 01.09 01:45 UTC

line available on the match card 3 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 24.2% / 75.8%

Market 1 / 2: 23.7% / 76.3%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 3 · total 0

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

Tennis

ITF Men - Singles: M15 Bali 3 (Indonesia), Hard 01.09.2026 03:00 UTC NEUTRAL · MODEL CALCULATION

Visaya A

Singh D P

🎯 PropickAI prediction

model probability · no colour signal

2 Singh D P 66%

1 34% · 2 66%

🎯 Safe pick Match winner — Singh D P ~79% confident

2.75 1.41

✓ Prematch ready 📊 extended stats line ready 5 bookmakers 3 markets updated 01.09 01:45 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 34.1% / 65.9%

Market 1 / 2: 33.9% / 66.1%

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 01.09.2026 03:00 UTC NEUTRAL · MODEL CALCULATION

Chan E. (Ssha)

Borg L

🎯 PropickAI prediction

model probability · no colour signal

2 Borg L 65%

1 35% · 2 65%

2.65 1.45

✓ Prematch ready line ready 5 bookmakers 3 markets updated 01.09 01:45 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: 35.6% / 64.4%

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 01.09.2026 04:00 UTC NEUTRAL · MODEL CALCULATION

Patton T

Rathi A

🎯 PropickAI prediction

model probability · no colour signal

2 Rathi A 57%

1 43% · 2 57%

2.23 1.65

✓ Prematch ready line ready 5 bookmakers 3 markets updated 01.09 01:45 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 43.9% / 56.1%

Market 1 / 2: 43.2% / 56.8%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 5 · total 0

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

Tennis

ITF Men - Singles: M15 Bali 3 (Indonesia), Hard 01.09.2026 04:00 UTC NEUTRAL · MODEL CALCULATION

Ryan Ziegann S

Ahren Moonga E. (Shve)

🎯 PropickAI prediction

model probability · no colour signal

1 Ryan Ziegann S 75%

1 75% · 2 25%

🎯 Safe pick Match winner — Ryan Ziegann S ~79% confident

1.24 3.65

✓ Prematch ready 📊 extended stats line ready 3 bookmakers 3 markets updated 01.09 01:45 UTC

line available on the match card 3 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 74.1% / 25.9%

Market 1 / 2: 74.6% / 25.4%

Favourite trap: no

Data completeness: 18%

Match context

Bookmaker coverage: 1×2 3 · 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 01.09.2026 03:00 UTC NEUTRAL · MODEL CALCULATION

Chanta T. (Tai)

Masabayashi T. (Iapo)

🎯 PropickAI prediction

model probability · no colour signal

1 Chanta T. (Tai) 76%

1 76% · 2 24%

🎯 Safe pick Match winner — Chanta T. (Tai) ~87% strong

1.29 4.00

✓ Prematch ready line ready 5 bookmakers 3 markets updated 01.09 01:45 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 74.4% / 25.6%

Market 1 / 2: 74.9% / 25.1%

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 01.09.2026 03:00 UTC NEUTRAL · MODEL CALCULATION

O'Connell B. (Avs)

Suresh K

🎯 PropickAI prediction

model probability · no colour signal

1 O'Connell B. (Avs) 89%

1 89% · 2 11%

🎯 Safe pick Match winner — O'Connell B. (Avs) ~95% banker

1.13 9.00

✓ Prematch ready 📊 extended stats line ready 5 bookmakers 3 markets updated 01.09 01:45 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 84.0% / 16.0%

Market 1 / 2: 84.8% / 15.2%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 5 · total 0

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

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.