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.

The Free plan shows a demo feed only. You see up to 8 upcoming matches and the base line only. The full board unlocks on the Analyst plan.
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Shown 497
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Leagues 73
Bookmakers 7
Showing 30 upcoming matches. These are upcoming events for the selected sport. Use the sport, league and date filters to narrow the list.
ITF Men - Singles: M25 Taipei (Taiwan), hard Tennis
19.08 5 matches
Tennis ITF Men - Singles: M25 Taipei (Taiwan), hard 19.08.2026 02:00 UTC NEUTRAL · MODEL CALCULATION

Ichikawa T

Vu Tun-Lin (Tvn)

Vu Tun-Lin (Tvn)

🎯 PropickAI prediction
model probability · no colour signal
2 Vu Tun-Lin (Tvn) 73%
1 27% · 2 73%
3.45 1.25
✓ Prematch ready 📊 extended stats line ready 3 bookmakers 3 markets updated 19.08 01:49 UTC
line available on the match card 3 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 61.0% / 39.0%

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 02:00 UTC NEUTRAL · MODEL CALCULATION

Samrej K

Chung Hyeon

🎯 PropickAI prediction
2 Chung Hyeon 54%
1 46% · 2 54%
2.00 1.72
✓ Prematch ready 📊 extended stats line ready 3 bookmakers 3 markets updated 19.08 01:49 UTC
line available on the match card 3 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 60.6% / 39.4%

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 02:00 UTC NEUTRAL · MODEL CALCULATION

Tamm K. (Est)

Jasika O

🎯 PropickAI prediction
model probability · no colour signal
2 Jasika O 87%
1 13% · 2 87%
7.20 1.09
✓ Prematch ready 📊 extended stats line ready 3 bookmakers 3 markets updated 19.08 01:49 UTC
line available on the match card 3 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 38.5% / 61.5%

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

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

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
19.08 6 matches
Tennis ITF Women - Singles: W15 Tianjin 3 (China), hard 19.08.2026 02:00 UTC NEUTRAL · MODEL CALCULATION

Sun Yingqun

Yang Ya Yi

🎯 PropickAI prediction
model probability · no colour signal
2 Yang Ya Yi 75%
1 25% · 2 75%
3.80 1.27
✓ Prematch ready line ready 5 bookmakers 3 markets updated 19.08 01:49 UTC
line available on the match card 5 bookmakers Details
Tennis ITF Women - Singles: W15 Tianjin 3 (China), hard 19.08.2026 02:00 UTC NEUTRAL · MODEL CALCULATION

Matsuda Ryuki

Lan X. (Kit)

🎯 PropickAI prediction
model probability · no colour signal
1 Matsuda Ryuki 72%
1 72% · 2 28%
1.30 3.41
✓ Prematch ready line ready 5 bookmakers 3 markets updated 19.08 01:49 UTC
line available on the match card 5 bookmakers Details
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

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 03:30 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

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 03:30 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
19.08 10 matches
Tennis ITF Men - Singles: M15 Maanshan 7 (China), hard 19.08.2026 02:00 UTC NEUTRAL · MODEL CALCULATION

Becroft I

Jiang F. (Kit)

Jiang F. (Kit)

🎯 PropickAI prediction
model probability · no colour signal
1 Becroft I 83%
1 83% · 2 17%
1.12 5.30
✓ Prematch ready 📊 extended stats line ready 3 bookmakers 3 markets updated 19.08 01:49 UTC
line available on the match card 3 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 80.9% / 19.1%

Market 1 / 2: 82.6% / 17.5%

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 02:00 UTC NEUTRAL · MODEL CALCULATION
Isomura K

Isomura K

Jones M. (Ssha)

🎯 PropickAI prediction
2 Jones M. (Ssha) 54%
1 46% · 2 54%
2.02 1.71
✓ Prematch ready 📊 extended stats line ready 3 bookmakers 3 markets updated 19.08 01:49 UTC
line available on the match card 3 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 45.6% / 54.4%

Market 1 / 2: 45.8% / 54.2%

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 02:00 UTC NEUTRAL · MODEL CALCULATION

Park Uisung

Zhao Z. (Kit)

🎯 PropickAI prediction
model probability · no colour signal
1 Park Uisung 79%
1 79% · 2 21%
1.26 4.75
✓ Prematch ready line ready 5 bookmakers 3 markets updated 19.08 01:49 UTC
line available on the match card 5 bookmakers Details
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

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 03:30 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 03:30 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

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 03:30 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 03:30 UTC
line available on the match card 4 bookmakers Details
International ATP Challenger Cancun, Mexico Men Singles Tennis
19.08 1 match
Tennis International ATP Challenger Cancun, Mexico Men Singles 19.08.2026 02:05 UTC NEUTRAL · MODEL CALCULATION 🤖 AI read ready 📊 Rich data
Rocha H

Rocha H

Hong Seong Chan

Hong Seong Chan

🎯 PropickAI prediction
model probability · no colour signal
1 Rocha H 74%
1 74% · 2 26%
1.27 3.70
✓ Prematch ready 📊 extended stats line ready 6 bookmakers 5 markets updated 19.08 03:31 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: 72.1% / 27.9%

Market 1 / 2: 74.2% / 25.8%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 6 · total 0

Tournament: International ATP Challenger Cancun, Mexico Men Singles

ITF Women - Singles: W35 Bistrita (Romania), clay Tennis
19.08 4 matches
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 03:18 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 51%
1 49% · 2 51%
1.90 1.85
✓ Prematch ready line ready 5 bookmakers 3 markets updated 19.08 03:30 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
2 Simionescu D-I 51%
1 49% · 2 51%
1.93 1.86
✓ Prematch ready 📊 extended stats line ready 5 bookmakers 3 markets updated 19.08 03:30 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)

Popa M. S. (Rum)

Bojica S

🎯 PropickAI prediction
model probability · no colour signal
1 Popa M. S. (Rum) 83%
1 83% · 2 17%
1.12 5.30
✓ Prematch ready 📊 extended stats line ready 3 bookmakers 3 markets updated 19.08 03:30 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
19.08 3 matches
Tennis ITF Men - Singles: M15 Arad (Romania), clay 19.08.2026 06:30 UTC NEUTRAL · MODEL CALCULATION
Cherie Ligniere E. (Ita)

Cherie Ligniere E. (Ita)

Andreescu S A

Andreescu S A

🎯 PropickAI prediction
model probability · no colour signal
2 Andreescu S A 75%
1 25% · 2 75%
3.84 1.27
✓ Prematch ready 📊 extended stats line ready 3 bookmakers 3 markets updated 19.08 03:30 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 03:17 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

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 03:30 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
19.08 1 match
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%
8.70 1.07
✓ Prematch ready line ready 5 bookmakers 2 markets updated 19.08 03:30 UTC
line available on the match card 5 bookmakers Details
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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.