AI tennis predictions for today: accurate ATP and WTA analytics

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

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 04:50 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 04:50 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 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 04:50 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 04:50 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 05:33 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 05:33 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 05:33 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 51%

1 49% · 2 51%

1.90 1.85

✓ Prematch ready line ready 5 bookmakers 3 markets updated 19.08 05:33 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

2 Simionescu D-I 51%

1 49% · 2 51%

1.92 1.85

✓ Prematch ready 📊 extended stats line ready 5 bookmakers 3 markets updated 19.08 05:33 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 05:33 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

Tennis

ITF Women - Singles: W35 Bistrita (Romania), clay 19.08.2026 08:00 UTC NEUTRAL · MODEL CALCULATION

Todoni C N

Soriano Santiago M

🎯 PropickAI prediction

model probability · no colour signal

1 Todoni C N 56%

1 56% · 2 44%

1.71 2.17

✓ Prematch ready 📊 extended stats line ready 5 bookmakers 3 markets updated 19.08 05:33 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 62.0% / 38.0%

Market 1 / 2: 55.0% / 45.0%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 1 · 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%

4.00 1.27

✓ Prematch ready 📊 extended stats line ready 3 bookmakers 3 markets updated 19.08 05:33 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 05:33 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%

3.45 1.33

✓ Prematch ready 📊 extended stats line ready 5 bookmakers 3 markets updated 19.08 05:33 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

Tennis

ITF Men - Singles: M15 Arad (Romania), clay 19.08.2026 08:00 UTC NEUTRAL · MODEL CALCULATION

Tenti F. (Arg)

Brown P

🎯 PropickAI prediction

model probability · no colour signal

1 Tenti F. (Arg) 72%

1 72% · 2 28%

1.26 3.28

✓ Prematch ready 📊 extended stats line ready 1 bookmaker 3 markets updated 19.08 05:33 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: - / -

Favourite trap: no

Data completeness: 12%

Match context

Bookmaker coverage: 1×2 0 · 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. 89%

1 11% · 2 89%

9.00 1.07

✓ Prematch ready line ready 5 bookmakers 3 markets updated 19.08 05:33 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 6.40

✓ Prematch ready line ready 5 bookmakers 3 markets updated 19.08 05:33 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 05:33 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 85%

1 85% · 2 15%

1.17 6.40

✓ Prematch ready line ready 5 bookmakers 3 markets updated 19.08 05:33 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 55%

1 55% · 2 45%

1.71 2.05

✓ Prematch ready 📊 extended stats line ready 5 bookmakers 3 markets updated 19.08 05:33 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 55%

1 56% · 2 45%

1.70 2.12

✓ Prematch ready 📊 extended stats line ready 4 bookmakers 5 markets updated 19.08 05:33 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 55%

1 45% · 2 55%

2.07 1.68

✓ Prematch ready line ready 6 bookmakers 5 markets updated 19.08 05:33 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 05:33 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 05:33 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 05:33 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

ATP Challenger Prague, Czech Republic Men Doubles Tennis

Tennis

ATP Challenger Prague, Czech Republic Men Doubles 19.08.2026 08:00 UTC NEUTRAL · MODEL CALCULATION

Grevelius E./Heinonen A.

Mansilla Diez M / Winter Lopez B

🎯 PropickAI prediction

model probability · no colour signal

1 Grevelius E./Heinonen A. 62%

1 62% · 2 38%

1.51 2.45

✓ Prematch ready line ready 4 bookmakers 1 market updated 19.08 05:33 UTC

line available on the match card 4 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 60.9% / 39.1%

Market 1 / 2: 61.4% / 38.6%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 3 · total 0

Tournament: ATP Challenger Prague, Czech Republic Men Doubles

Tennis

ATP Challenger Prague, Czech Republic Men Doubles 19.08.2026 08:00 UTC NEUTRAL · MODEL CALCULATION

Donald M./Nikod Ia.

Latinovic S./Lof T.

🎯 PropickAI prediction

model probability · no colour signal

2 Latinovic S./Lof T. 70%

1 30% · 2 70%

3.20 1.36

✓ Prematch ready line ready 3 bookmakers 1 market updated 18.08 22:04 UTC

line available on the match card 3 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 31.2% / 68.8%

Market 1 / 2: 28.9% / 71.1%

Favourite trap: no

Data completeness: 18%

Match context

Bookmaker coverage: 1×2 3 · total 0

Tournament: ATP Challenger Prague, Czech Republic Men Doubles

ITF Men - Singles: M25 Idanha-a-Nova 2 (Portugal), hard Tennis

Tennis

ITF Men - Singles: M25 Idanha-a-Nova 2 (Portugal), hard 19.08.2026 08:00 UTC NEUTRAL · MODEL CALCULATION

Silva Tiago

Piatti R. (Mnk)

🎯 PropickAI prediction

model probability · no colour signal

2 Piatti R. (Mnk) 55%

1 45% · 2 55%

2.10 1.70

✓ Prematch ready 📊 extended stats line ready 5 bookmakers 3 markets updated 19.08 05:33 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 49.9% / 50.1%

Market 1 / 2: 52.6% / 47.4%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 1 · total 0

Tournament: ITF Men - Singles: M25 Idanha-a-Nova 2 (Portugal), hard

Tennis

ITF Men - Singles: M25 Idanha-a-Nova 2 (Portugal), hard 19.08.2026 08:00 UTC NEUTRAL · MODEL CALCULATION

Kolombo A. (Ita)

Bertrand R

🎯 PropickAI prediction

model probability · no colour signal

2 Bertrand R 75%

1 25% · 2 75%

3.80 1.27

✓ Prematch ready line ready 5 bookmakers 3 markets updated 19.08 05:33 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 58.8% / 41.2%

Market 1 / 2: 29.4% / 70.6%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 1 · total 0

Tournament: ITF Men - Singles: M25 Idanha-a-Nova 2 (Portugal), hard

Tennis

ITF Men - Singles: M25 Idanha-a-Nova 2 (Portugal), hard 19.08.2026 08:00 UTC NEUTRAL · MODEL CALCULATION

Fernandes R

Quesada Perez T

🎯 PropickAI prediction

model probability · no colour signal

1 Fernandes R 89%

1 89% · 2 11%

1.07 8.40

✓ Prematch ready 📊 extended stats line ready 5 bookmakers 3 markets updated 19.08 05:33 UTC

line available on the match card 5 bookmakers Details

All stats and model conclusions

Model vs market

Glicko 1 / 2: 45.4% / 54.6%

Market 1 / 2: 88.1% / 11.9%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 1 · total 0

Tournament: ITF Men - Singles: M25 Idanha-a-Nova 2 (Portugal), hard

AI tennis predictions: professional match breakdown

Wu R. X. (Kit)

Uchijima M

Model vs market

Match context

Yoshimoto N

Park E. (Kor)

Model vs market

Match context

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

Todoni C N

Soriano Santiago M

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

Tenti F. (Arg)

Brown P

Model vs market

Match context

Lan X./Zeng Z.

Kim D./Kim N.

Derepasko T

Shcherbakov E. (Mir)

Krstic V

Lefevre R

Tiukaev R

Vukovic K

Klaassen S

Schlagenhauf N

Model vs market

Match context

Astakhova D

Nilsson L

Model vs market

Match context

Petrovich D. (Ser)

Golubovic L H

Majchrzak A. (Pol)

Zeuch T

Model vs market

Match context

Suresh D. (Ind)