AI tennis predictions for today: accurate ATP and WTA analytics

ITF Men - Singles: M25 Taipei (Taiwan), hard Tennis

Tennis

ITF Men - Singles: M25 Taipei (Taiwan), hard 19.08.2026 03:00 UTC NEUTRAL · MODEL CALCULATION

Hsu J. (Tvn)

Dellavedova M

🎯 PropickAI prediction

model probability · no colour signal

2 Dellavedova M 89%

1 11% · 2 89%

8.80 1.05

✓ Prematch ready 📊 extended stats line ready 3 bookmakers 2 markets updated 19.08 02:50 UTC

line available on the match card 3 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 37.9% / 62.1%

Market 1 / 2: - / -

Favourite trap: no

Data completeness: 12%

Match context

Bookmaker coverage: 1×2 0 · total 0

Tournament: ITF Men - Singles: M25 Taipei (Taiwan), hard

Tennis

ITF Men - Singles: M25 Taipei (Taiwan), hard 19.08.2026 03:00 UTC NEUTRAL · MODEL CALCULATION

Moriya H

Ogura K

🎯 PropickAI prediction

model probability · no colour signal

1 Moriya H 67%

1 67% · 2 33%

1.41 2.80

✓ Prematch ready 📊 extended stats line ready 5 bookmakers 3 markets updated 19.08 02:50 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 41.2% / 58.8%

Market 1 / 2: 67.0% / 33.0%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 1 · total 0

Tournament: ITF Men - Singles: M25 Taipei (Taiwan), hard

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

Tennis

ITF Women - Singles: W15 Tianjin 3 (China), hard 19.08.2026 03:30 UTC NEUTRAL · MODEL CALCULATION

Choi O. (Kor)

Chanta A. (Tai)

🎯 PropickAI prediction

model probability · no colour signal

2 Chanta A. (Tai) 78%

1 23% · 2 78%

4.10 1.19

✓ Prematch ready 📊 extended stats line ready 3 bookmakers 3 markets updated 19.08 03:27 UTC

line available on the match card 3 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 43.9% / 56.1%

Market 1 / 2: - / -

Favourite trap: no

Data completeness: 12%

Match context

Bookmaker coverage: 1×2 0 · total 0

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

Tennis

ITF Women - Singles: W15 Tianjin 3 (China), hard 19.08.2026 03:30 UTC NEUTRAL · MODEL CALCULATION

Li Y. (Kit)

Chon S. (Kor)

🎯 PropickAI prediction

model probability · no colour signal

2 Chon S. (Kor) 83%

1 17% · 2 83%

6.40 1.30

✓ Prematch ready line ready 5 bookmakers 3 markets updated 19.08 03:27 UTC

line available on the match card 5 bookmakers Details

Tennis

ITF Women - Singles: W15 Tianjin 3 (China), hard 19.08.2026 05:00 UTC NEUTRAL · MODEL CALCULATION

Wu R. X. (Kit)

Uchijima M

🎯 PropickAI prediction

model probability · no colour signal

1 Wu R. X. (Kit) 66%

1 66% · 2 34%

1.42 2.72

✓ Prematch ready 📊 extended stats line ready 3 bookmakers 3 markets updated 19.08 04:30 UTC

line available on the match card 3 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 63.5% / 36.5%

Market 1 / 2: 65.1% / 34.9%

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 19.08.2026 05:00 UTC NEUTRAL · MODEL CALCULATION

Yoshimoto N

Park E. (Kor)

🎯 PropickAI prediction

model probability · no colour signal

1 Yoshimoto N 83%

1 83% · 2 17%

1.14 5.50

✓ Prematch ready 📊 extended stats line ready 4 bookmakers 1 market updated 19.08 04:30 UTC

line available on the match card 4 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 59.3% / 40.7%

Market 1 / 2: - / -

Favourite trap: no

Data completeness: 6%

Match context

Bookmaker coverage: 1×2 0 · total 0

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

ITF Men - Singles: M15 Maanshan 7 (China), hard Tennis

Tennis

ITF Men - Singles: M15 Maanshan 7 (China), hard 19.08.2026 03:30 UTC NEUTRAL · MODEL CALCULATION

Lu H. (Kit)

Oh Chan-Yeong

🎯 PropickAI prediction

model probability · no colour signal

2 Oh Chan-Yeong 83%

1 17% · 2 83%

6.50 1.34

✓ Prematch ready 📊 extended stats line ready 5 bookmakers 3 markets updated 19.08 03:27 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 21.2% / 78.8%

Market 1 / 2: 16.8% / 83.2%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 5 · total 0

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

Tennis

ITF Men - Singles: M15 Maanshan 7 (China), hard 19.08.2026 03:30 UTC NEUTRAL · MODEL CALCULATION

Van Herzeele J

Pan W. (Kit)

🎯 PropickAI prediction

model probability · no colour signal

1 Van Herzeele J 56%

1 56% · 2 44%

3.40 4.25

✓ Prematch ready 📊 extended stats line ready 5 bookmakers 3 markets updated 19.08 03:27 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 74.8% / 25.2%

Market 1 / 2: 77.6% / 22.4%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 5 · total 0

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

Tennis

ITF Men - Singles: M15 Maanshan 7 (China), hard 19.08.2026 03:30 UTC NEUTRAL · MODEL CALCULATION

Charlton J

Takahashi Yusuke

🎯 PropickAI prediction

model probability · no colour signal

2 Takahashi Yusuke 57%

1 43% · 2 57%

2.15 1.65

✓ Prematch ready line ready 5 bookmakers 3 markets updated 19.08 03:27 UTC

line available on the match card 5 bookmakers Details

Tennis

ITF Men - Singles: M15 Maanshan 7 (China), hard 19.08.2026 05:00 UTC NEUTRAL · MODEL CALCULATION

Kim Dong Ju

Kang Ku K. (Kor)

🎯 PropickAI prediction

model probability · no colour signal

1 Kim Dong Ju 81%

1 81% · 2 19%

1.17 5.00

✓ Prematch ready 📊 extended stats line ready 4 bookmakers 3 markets updated 19.08 04:30 UTC

line available on the match card 4 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 77.6% / 22.4%

Market 1 / 2: 79.2% / 20.8%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 2 · total 0

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

Tennis

ITF Men - Singles: M15 Maanshan 7 (China), hard 19.08.2026 05:00 UTC NEUTRAL · MODEL CALCULATION

Chzhou Siao (Kit)

Alhogbani A. F. (Sau)

🎯 PropickAI prediction

model probability · no colour signal

2 Alhogbani A. F. (Sau) 83%

1 17% · 2 83%

5.75 1.19

✓ Prematch ready line ready 5 bookmakers 3 markets updated 19.08 04:30 UTC

line available on the match card 5 bookmakers Details

Tennis

ITF Men - Singles: M15 Maanshan 7 (China), hard 19.08.2026 06:30 UTC NEUTRAL · MODEL CALCULATION

Kim Geun Jun

Fitriadi M R

🎯 PropickAI prediction

model probability · no colour signal

2 Fitriadi M R 70%

1 30% · 2 70%

3.08 1.35

✓ Prematch ready 📊 extended stats line ready 3 bookmakers 3 markets updated 19.08 04:30 UTC

line available on the match card 3 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 32.5% / 67.5%

Market 1 / 2: 31.8% / 68.2%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 3 · total 0

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

Tennis

ITF Men - Singles: M15 Maanshan 7 (China), hard 19.08.2026 06:30 UTC NEUTRAL · MODEL CALCULATION

Kong Weiyi

Trongcharoenchaikul W

🎯 PropickAI prediction

model probability · no colour signal

2 Trongcharoenchaikul W 76%

1 24% · 2 76%

4.00 1.27

✓ Prematch ready line ready 4 bookmakers 3 markets updated 19.08 04:30 UTC

line available on the match card 4 bookmakers Details

ITF Women - Singles: W35 Bistrita (Romania), clay Tennis

Tennis

ITF Women - Singles: W35 Bistrita (Romania), clay 19.08.2026 06:30 UTC NEUTRAL · MODEL CALCULATION

Zanolini C

Bole S. (Fra)

🎯 PropickAI prediction

1 Zanolini C 53%

1 53% · 2 47%

1.76 1.97

✓ Prematch ready line ready 2 bookmakers 3 markets updated 19.08 04:18 UTC

line available on the match card 2 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 46.9% / 53.1%

Market 1 / 2: 53.5% / 46.5%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 1 · total 0

Tournament: ITF Women - Singles: W35 Bistrita (Romania), clay

Tennis

ITF Women - Singles: W35 Bistrita (Romania), clay 19.08.2026 06:30 UTC NEUTRAL · MODEL CALCULATION

Amarlei I. (Rum)

Ewald W

🎯 PropickAI prediction

2 Ewald W 50%

1 50% · 2 50%

1.90 1.87

✓ Prematch ready line ready 5 bookmakers 3 markets updated 19.08 04:30 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 64.4% / 35.6%

Market 1 / 2: 42.1% / 57.9%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 1 · total 0

Tournament: ITF Women - Singles: W35 Bistrita (Romania), clay

Tennis

ITF Women - Singles: W35 Bistrita (Romania), clay 19.08.2026 06:30 UTC NEUTRAL · MODEL CALCULATION

Szabo B

Simionescu D-I

🎯 PropickAI prediction

1 Szabo B 51%

1 51% · 2 49%

1.86 1.90

✓ Prematch ready 📊 extended stats line ready 5 bookmakers 3 markets updated 19.08 04:30 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 49.0% / 51.0%

Market 1 / 2: 50.0% / 50.0%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 1 · total 0

Tournament: ITF Women - Singles: W35 Bistrita (Romania), clay

Tennis

ITF Women - Singles: W35 Bistrita (Romania), clay 19.08.2026 06:30 UTC NEUTRAL · MODEL CALCULATION

Popa M. S. (Rum)

Bojica S

🎯 PropickAI prediction

model probability · no colour signal

1 Popa M. S. (Rum) 82%

1 82% · 2 18%

1.14 5.30

✓ Prematch ready 📊 extended stats line ready 3 bookmakers 3 markets updated 19.08 04:30 UTC

line available on the match card 3 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 49.6% / 50.4%

Market 1 / 2: - / -

Favourite trap: no

Data completeness: 12%

Match context

Bookmaker coverage: 1×2 0 · total 0

Tournament: ITF Women - Singles: W35 Bistrita (Romania), clay

ITF Men - Singles: M15 Arad (Romania), clay Tennis

Tennis

ITF Men - Singles: M15 Arad (Romania), clay 19.08.2026 06:30 UTC NEUTRAL · MODEL CALCULATION

Cherie Ligniere E. (Ita)

Andreescu S A

🎯 PropickAI prediction

model probability · no colour signal

2 Andreescu S A 76%

1 24% · 2 76%

3.97 1.27

✓ Prematch ready 📊 extended stats line ready 3 bookmakers 3 markets updated 19.08 04:30 UTC

line available on the match card 3 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 28.5% / 71.5%

Market 1 / 2: 27.2% / 72.8%

Favourite trap: no

Data completeness: 29%

Match context

Bookmaker coverage: 1×2 3 · total 0

Tournament: ITF Men - Singles: M15 Arad (Romania), clay

Tennis

ITF Men - Singles: M15 Arad (Romania), clay 19.08.2026 06:30 UTC NEUTRAL · MODEL CALCULATION

Enache S. (Rum)

Garbero F. F. (Ita)

🎯 PropickAI prediction

model probability · no colour signal

2 Garbero F. F. (Ita) 90%

1 10% · 2 90%

9.40 1.01

✓ Prematch ready 📊 extended stats line ready 1 bookmaker 3 markets updated 19.08 04:17 UTC

line available on the match card 1 bookmaker Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 63.9% / 36.1%

Market 1 / 2: 9.6% / 90.4%

Favourite trap: no

Data completeness: 18%

Match context

Bookmaker coverage: 1×2 1 · total 0

Tournament: ITF Men - Singles: M15 Arad (Romania), clay

Tennis

ITF Men - Singles: M15 Arad (Romania), clay 19.08.2026 06:30 UTC NEUTRAL · MODEL CALCULATION

Paolini A

Mazdrashki A

🎯 PropickAI prediction

model probability · no colour signal

2 Mazdrashki A 72%

1 28% · 2 72%

3.50 1.33

✓ Prematch ready 📊 extended stats line ready 5 bookmakers 3 markets updated 19.08 04:30 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 29.6% / 70.4%

Market 1 / 2: 26.8% / 73.3%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 5 · total 0

Tournament: ITF Men - Singles: M15 Arad (Romania), clay

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

Tennis

ITF Women - Doubles: W15 Tianjin 3 (China), hard 19.08.2026 07:00 UTC PRICE QUALITY

Lan X./Zeng Z.

Kim D./Kim N.

🎯 PropickAI prediction

model probability · no colour signal

2 Kim D./Kim N. 91%

1 9% · 2 91%

11.00 1.04

✓ Prematch ready line ready 5 bookmakers 3 markets updated 19.08 04:30 UTC

line available on the match card 5 bookmakers Details

ITF Men - Singles: M15 Kursumlijska Banja 12 (Serbia), clay Tennis

Tennis

ITF Men - Singles: M15 Kursumlijska Banja 12 (Serbia), clay 19.08.2026 07:00 UTC NEUTRAL · MODEL CALCULATION

Derepasko T

Shcherbakov E. (Mir)

🎯 PropickAI prediction

model probability · no colour signal

1 Derepasko T 86%

1 86% · 2 14%

1.08 6.50

✓ Prematch ready line ready 5 bookmakers 3 markets updated 19.08 04:30 UTC

line available on the match card 5 bookmakers Details

Tennis

ITF Men - Singles: M15 Kursumlijska Banja 12 (Serbia), clay 19.08.2026 07:00 UTC NEUTRAL · MODEL CALCULATION

Krstic V

Lefevre R

🎯 PropickAI prediction

model probability · no colour signal

1 Krstic V 92%

1 92% · 2 8%

1.03 12.00

✓ Prematch ready line ready 5 bookmakers 3 markets updated 19.08 04:30 UTC

line available on the match card 5 bookmakers Details

Tennis

ITF Men - Singles: M15 Kursumlijska Banja 12 (Serbia), clay 19.08.2026 07:00 UTC NEUTRAL · MODEL CALCULATION

Tiukaev R

Vukovic K

🎯 PropickAI prediction

model probability · no colour signal

1 Tiukaev R 84%

1 84% · 2 16%

1.17 6.20

✓ Prematch ready line ready 5 bookmakers 3 markets updated 19.08 04:30 UTC

line available on the match card 5 bookmakers Details

ITF Men - Singles: M15 Lambermont (Belgium), clay Tennis

Tennis

ITF Men - Singles: M15 Lambermont (Belgium), clay 19.08.2026 07:00 UTC NEUTRAL · MODEL CALCULATION

Klaassen S

Schlagenhauf N

🎯 PropickAI prediction

1 Klaassen S 54%

1 54% · 2 46%

1.72 2.05

✓ Prematch ready 📊 extended stats line ready 5 bookmakers 3 markets updated 19.08 04:30 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 54.6% / 45.4%

Market 1 / 2: 54.4% / 45.6%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 5 · total 0

Tournament: ITF Men - Singles: M15 Lambermont (Belgium), clay

ITF Women - Singles: W75 Kursumlijska Banja 3 (Serbia), clay Tennis

Tennis

ITF Women - Singles: W75 Kursumlijska Banja 3 (Serbia), clay 19.08.2026 07:30 UTC NEUTRAL · MODEL CALCULATION

Astakhova D

Nilsson L

🎯 PropickAI prediction

model probability · no colour signal

1 Astakhova D 56%

1 56% · 2 44%

1.70 2.20

✓ Prematch ready 📊 extended stats line ready 4 bookmakers 5 markets updated 19.08 04:18 UTC

line available on the match card 4 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 57.6% / 42.4%

Market 1 / 2: 59.3% / 40.7%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 2 · total 0

Tournament: ITF Women - Singles: W75 Kursumlijska Banja 3 (Serbia), clay

Tennis

ITF Women - Singles: W75 Kursumlijska Banja 3 (Serbia), clay 19.08.2026 07:30 UTC NEUTRAL · MODEL CALCULATION

Petrovich D. (Ser)

Golubovic L H

🎯 PropickAI prediction

model probability · no colour signal

2 Golubovic L H 56%

1 44% · 2 56%

2.18 1.68

✓ Prematch ready line ready 6 bookmakers 5 markets updated 19.08 04:30 UTC

line available on the match card 6 bookmakers Details

ITF Men - Singles: M15 Krakow (Poland), clay Tennis

Tennis

ITF Men - Singles: M15 Krakow (Poland), clay 19.08.2026 07:30 UTC NEUTRAL · MODEL CALCULATION

Majchrzak A. (Pol)

Zeuch T

🎯 PropickAI prediction

model probability · no colour signal

2 Zeuch T 64%

1 36% · 2 64%

2.63 1.45

✓ Prematch ready 📊 extended stats line ready 3 bookmakers 3 markets updated 19.08 04:30 UTC

line available on the match card 3 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 37.2% / 62.8%

Market 1 / 2: 35.1% / 64.9%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 3 · total 0

Tournament: ITF Men - Singles: M15 Krakow (Poland), clay

Tennis

ITF Men - Singles: M15 Krakow (Poland), clay 19.08.2026 07:30 UTC NEUTRAL · MODEL CALCULATION

Suresh D. (Ind)

Valkush M. (Ven)

🎯 PropickAI prediction

model probability · no colour signal

2 Valkush M. (Ven) 94%

1 6% · 2 94%

16.00 1.02

✓ Prematch ready line ready 5 bookmakers 2 markets updated 19.08 04:30 UTC

line available on the match card 5 bookmakers Details

Tennis

ITF Men - Singles: M15 Krakow (Poland), clay 19.08.2026 07:30 UTC NEUTRAL · MODEL CALCULATION

Michalski D

Keremedchiev N

🎯 PropickAI prediction

model probability · no colour signal

1 Michalski D 92%

1 92% · 2 8%

1.03 12.00

✓ Prematch ready 📊 extended stats line ready 4 bookmakers 3 markets updated 19.08 04:30 UTC

line available on the match card 4 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 88.5% / 11.5%

Market 1 / 2: 92.1% / 7.9%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 3 · total 0

Tournament: ITF Men - Singles: M15 Krakow (Poland), clay

AI tennis predictions: professional match breakdown

Hsu J. (Tvn)

Dellavedova M

Model vs market

Match context

Moriya H

Ogura K

Model vs market

Match context

Choi O. (Kor)

Chanta A. (Tai)

Model vs market

Match context

Li Y. (Kit)

Chon S. (Kor)

Wu R. X. (Kit)

Uchijima M

Model vs market

Match context

Yoshimoto N

Park E. (Kor)

Model vs market

Match context

Lu H. (Kit)

Oh Chan-Yeong

Model vs market

Match context

Van Herzeele J

Pan W. (Kit)

Model vs market

Match context

Charlton J

Takahashi Yusuke

Kim Dong Ju

Kang Ku K. (Kor)

Model vs market

Match context

Chzhou Siao (Kit)

Alhogbani A. F. (Sau)

Kim Geun Jun

Fitriadi M R

Model vs market

Match context

Kong Weiyi

Trongcharoenchaikul W

Zanolini C

Bole S. (Fra)

Model vs market

Match context

Amarlei I. (Rum)

Ewald W

Model vs market

Match context

Szabo B

Simionescu D-I

Model vs market

Match context

Popa M. S. (Rum)

Bojica S

Model vs market

Match context

Cherie Ligniere E. (Ita)

Andreescu S A

Model vs market

Match context

Enache S. (Rum)

Garbero F. F. (Ita)

Model vs market

Match context

Paolini A

Mazdrashki A

Model vs market

Match context

Lan X./Zeng Z.

Kim D./Kim N.

Derepasko T

Shcherbakov E. (Mir)

Krstic V

Lefevre R

Tiukaev R