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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Shown 338
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Leagues 98
Bookmakers 7
Showing 29 upcoming matches. These are upcoming events for the selected sport. Use the sport, league and date filters to narrow the list.
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LIVE 4 matches

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

Tennis International WTA 125K. Filadelfiya ● LIVE83'

Crawley F

0
Grabher J

Grabher J

0
Live pick 2 Grabher J 54%
Tennis International WTA 125K. Filadelfiya ● LIVE63'

Collins Kylie

0
Valentova T

Valentova T

1
Live pick 2 Valentova T 94%
Tennis ATP - Singles: Uinston-Salem (USA), Hard ● LIVE3'
Cerundolo J M

Cerundolo J M

0
Buse I

Buse I

0
Live pick 1 Cerundolo J M 77%
Tennis WTA - Singles: Monterrey (Mexico), Hard ● LIVE33'
Parks A

Parks A

0
Li A

Li A

0
Live pick 2 Li A 85%
Challenger Women - Singles: Philadelphia (USA), Hard Tennis
27.08 1 match
Tennis Challenger Women - Singles: Philadelphia (USA), Hard 27.08.2026 22:00 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data
Sawangkaew M

Sawangkaew M

Volynets K

Volynets K

🎯 PropickAI prediction
model probability · no colour signal
2 Volynets K 65%
1 35% · 2 65%
2.70 1.47
✓ Prematch ready 📊 extended stats line ready 4 bookmakers 5 markets updated 27.08 23:00 UTC
line available on the match card 4 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 36.7% / 63.3%

Market 1 / 2: 36.0% / 64.0%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 4 · total 0

Tournament: Challenger Women - Singles: Philadelphia (USA), Hard

Challenger Men - Singles: Kingston 2 (Jamaica), Hard Tennis
27.08 1 match
Tennis Challenger Men - Singles: Kingston 2 (Jamaica), Hard 27.08.2026 22:00 UTC PRICE QUALITY

Fenty, Andrew

Miguel L. A. (Bra)

🎯 PropickAI prediction
model probability · no colour signal
2 Miguel L. A. (Bra) 59%
1 41% · 2 59%
2.35 1.62
✓ Prematch ready 📊 extended stats line ready 5 bookmakers 3 markets updated 27.08 21:55 UTC
line available on the match card 5 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 40.8% / 59.2%

Market 1 / 2: 40.6% / 59.4%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 5 · total 0

Tournament: Challenger Men - Singles: Kingston 2 (Jamaica), Hard

International ATP Challenger. Kingston 2. Qualification Tennis
27.08 1 match
Tennis International ATP Challenger. Kingston 2. Qualification 27.08.2026 22:00 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data

Fenty A

Miguel L G

🎯 PropickAI prediction
model probability · no colour signal
2 Miguel L G 61%
1 39% · 2 61%
2.35 1.52
✓ Prematch ready line ready 1 bookmaker 5 markets updated 27.08 23:24 UTC
line available on the match card 1 bookmaker Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 49.0% / 51.0%

Market 1 / 2: 39.3% / 60.7%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 1 · total 0

Tournament: International ATP Challenger. Kingston 2. Qualification

ITF Men - Doubles: M15 Champaign, IL (USA), Hard Tennis
27.08 1 match
Tennis ITF Men - Doubles: M15 Champaign, IL (USA), Hard 27.08.2026 22:00 UTC NEUTRAL · MODEL CALCULATION

Mesarovic M./Vukadin N.

Gamble J./Mekhael N.

🎯 PropickAI prediction
1 Mesarovic M./Vukadin N. 54%
1 54% · 2 46%
1.70 2.03
✓ Prematch ready line ready 2 bookmakers 1 market updated 27.08 21:54 UTC
line available on the match card 2 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 54.7% / 45.3%

Market 1 / 2: 54.7% / 45.3%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 2 · total 0

Tournament: ITF Men - Doubles: M15 Champaign, IL (USA), Hard

ATP - Singles: Uinston-Salem (USA), Hard Tennis
27.08 1 match
Tennis ATP - Singles: Uinston-Salem (USA), Hard 27.08.2026 22:30 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data
Fery A

Fery A

Kovacevic A

Kovacevic A

🎯 PropickAI prediction
1 Fery A 52%
1 52% · 2 48%
1.90 2.02
✓ Prematch ready 📊 extended stats line ready 5 bookmakers 5 markets updated 27.08 22:28 UTC
line available on the match card 5 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 52.2% / 47.8%

Market 1 / 2: 51.9% / 48.2%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 5 · total 0

Tournament: ATP - Singles: Uinston-Salem (USA), Hard

International WTA. Monterrey Tennis
27.08 1 match
Tennis International WTA. Monterrey 27.08.2026 22:30 UTC PRICE QUALITY 📊 Rich data
Vidmanova D

Vidmanova D

Bartunkova N

Bartunkova N

🎯 PropickAI prediction
model probability · no colour signal
2 Bartunkova N 63%
1 37% · 2 64%
2.70 1.55
✓ Prematch ready 📊 extended stats line ready 7 bookmakers 5 markets updated 27.08 22:54 UTC
line available on the match card 7 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 37.2% / 62.8%

Market 1 / 2: 36.4% / 63.6%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 7 · total 0

Tournament: International WTA. Monterrey

International US Open. Men. Qualifying Wild Card Challenge Tennis
27.08 3 matches
Tennis International US Open. Men. Qualifying Wild Card Challenge 27.08.2026 22:35 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data
Piros Z

Piros Z

O'Connell C

O'Connell C

🎯 PropickAI prediction
model probability · no colour signal
2 O'Connell C 63%
1 38% · 2 63%
2.55 1.53
✓ Prematch ready 📊 extended stats line ready 6 bookmakers 5 markets updated 27.08 23:39 UTC
line available on the match card 6 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 38.0% / 62.0%

Market 1 / 2: 37.4% / 62.6%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 6 · total 0

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

Tennis International US Open. Men. Qualifying Wild Card Challenge 27.08.2026 22:35 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data
Harris L

Harris L

Llamas Ruiz P

Llamas Ruiz P

🎯 PropickAI prediction
model probability · no colour signal
1 Harris L 62%
1 62% · 2 38%
1.56 2.55
✓ Prematch ready 📊 extended stats line ready 6 bookmakers 5 markets updated 27.08 23:39 UTC
line available on the match card 6 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 60.9% / 39.1%

Market 1 / 2: 60.9% / 39.1%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 6 · total 0

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

Tennis International US Open. Men. Qualifying Wild Card Challenge 27.08.2026 22:55 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data
Nishikori K

Nishikori K

Sakamoto R

Sakamoto R

🎯 PropickAI prediction
model probability · no colour signal
2 Sakamoto R 59%
1 41% · 2 59%
2.30 1.63
✓ Prematch ready 📊 extended stats line ready 6 bookmakers 5 markets updated 27.08 23:39 UTC
line available on the match card 6 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 42.3% / 57.7%

Market 1 / 2: 42.1% / 57.9%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 6 · total 0

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

International US Open. Women Tennis
27.08 2 matches
Tennis International US Open. Women 27.08.2026 22:35 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data
Watson H

Watson H

Dart H

Dart H

🎯 PropickAI prediction
model probability · no colour signal
2 Dart H 62%
1 38% · 2 62%
2.50 1.56
✓ Prematch ready 📊 extended stats line ready 4 bookmakers 5 markets updated 27.08 23:39 UTC
line available on the match card 4 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 40.1% / 59.9%

Market 1 / 2: 39.9% / 60.1%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 4 · total 0

Tournament: International US Open. Women

Tennis International US Open. Women 27.08.2026 23:00 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data
Semenistaja D

Semenistaja D

Hunter S

Hunter S

🎯 PropickAI prediction
model probability · no colour signal
2 Hunter S 64%
1 36% · 2 64%
2.75 1.54
✓ Prematch ready 📊 extended stats line ready 6 bookmakers 5 markets updated 27.08 23:33 UTC
line available on the match card 6 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 37.8% / 62.2%

Market 1 / 2: 37.5% / 62.5%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 6 · total 0

Tournament: International US Open. Women

WTA - Doubles: Monterrey (Mexico), Hard Tennis
27.08 1 match
Tennis WTA - Doubles: Monterrey (Mexico), Hard 27.08.2026 23:00 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data
Eikeri U / Gleason Q

Eikeri U / Gleason Q

Kozyreva M / Lumsden M

🎯 PropickAI prediction
model probability · no colour signal
1 Eikeri U / Gleason Q 58%
1 58% · 2 42%
1.63 2.23
✓ Prematch ready line ready 6 bookmakers 5 markets updated 27.08 22:55 UTC
line available on the match card 6 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 57.3% / 42.7%

Market 1 / 2: 57.6% / 42.4%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 6 · total 0

Tournament: WTA - Doubles: Monterrey (Mexico), Hard

International UTR Pro. Men. Australia Tennis
27.08 2 matches
Tennis International UTR Pro. Men. Australia 27.08.2026 23:00 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data

Jones Scott

Pham D

🎯 PropickAI prediction
model probability · no colour signal
1 Jones Scott 71%
1 71% · 2 29%
🎯 Safe pick Match winner Jones Scott ~79% confident
1.33 3.25
✓ Prematch ready line ready 4 bookmakers 3 markets updated 27.08 22:54 UTC
line available on the match card 4 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 70.7% / 29.3%

Market 1 / 2: 70.9% / 29.1%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 4 · total 0

Tournament: International UTR Pro. Men. Australia

Tennis International UTR Pro. Men. Australia 27.08.2026 23:00 UTC NEUTRAL · MODEL CALCULATION

Balakrishnan A

Girdler J

🎯 PropickAI prediction
1 Balakrishnan A 55%
1 55% · 2 45%
1.73 2.10
✓ Prematch ready line ready 6 bookmakers 3 markets updated 27.08 22:55 UTC
line available on the match card 6 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 55.1% / 44.9%

Market 1 / 2: 55.1% / 44.9%

Favourite trap: no

Data completeness: 33%

Match context

Bookmaker coverage: 1×2 6 · total 0

Tournament: International UTR Pro. Men. Australia

Challenger Women - Doubles: Philadelphia (USA), Hard Tennis
27.08 1 match
Tennis Challenger Women - Doubles: Philadelphia (USA), Hard 27.08.2026 23:30 UTC NEUTRAL · MODEL CALCULATION

Chong Iu./Ian Ch.

Malechkova Dzh./Skoch M.

Malechkova Dzh./Skoch M.

🎯 PropickAI prediction
model probability · no colour signal
1 Chong Iu./Ian Ch. 56%
1 56% · 2 44%
1.66 2.10
✓ Prematch ready line ready 1 bookmaker 1 market updated 27.08 23:25 UTC
line available on the match card 1 bookmaker Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 57.5% / 42.5%

Market 1 / 2: 55.9% / 44.2%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 1 · total 0

Tournament: Challenger Women - Doubles: Philadelphia (USA), Hard

International WTA 125K. Filadelfiya. Pary Tennis
27.08 1 match
Tennis International WTA 125K. Filadelfiya. Pary 27.08.2026 23:30 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data

Chong Eudice / Yang Zhaoxuan

Maleckova J / Skoch M

🎯 PropickAI prediction
1 Chong Eudice / Yang Zhaoxuan 52%
1 52% · 2 48%
1.77 1.94
✓ Prematch ready line ready 2 bookmakers 1 market updated 27.08 23:24 UTC
line available on the match card 2 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 52.4% / 47.6%

Market 1 / 2: 52.4% / 47.6%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 2 · total 0

Tournament: International WTA 125K. Filadelfiya. Pary

ATP - Singles: Uinston-Salem (USA), Hard Tennis
28.08 1 match
Tennis ATP - Singles: Uinston-Salem (USA), Hard 28.08.2026 00:00 UTC NEUTRAL · MODEL CALCULATION
Marozsan F

Marozsan F

Dakvort Dzh. (Avs)

Dakvort Dzh. (Avs)

🎯 PropickAI prediction
model probability · no colour signal
1 Marozsan F 60%
1 60% · 2 40%
1.62 2.40
✓ Prematch ready line ready 3 bookmakers 3 markets updated 27.08 23:40 UTC
line available on the match card 3 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 60.3% / 39.7%

Market 1 / 2: 60.5% / 39.5%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 3 · total 0

Tournament: ATP - Singles: Uinston-Salem (USA), Hard

International ATP. Uinston-Seylem Tennis
28.08 1 match
Tennis International ATP. Uinston-Seylem 28.08.2026 00:00 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data
Marozsan F

Marozsan F

Duckworth J

Duckworth J

🎯 PropickAI prediction
model probability · no colour signal
1 Marozsan F 61%
1 61% · 2 39%
1.60 2.52
✓ Prematch ready 📊 extended stats line ready 4 bookmakers 5 markets updated 27.08 23:39 UTC
line available on the match card 4 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 60.1% / 39.9%

Market 1 / 2: 60.5% / 39.5%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 4 · total 0

Tournament: International ATP. Uinston-Seylem

ITF Women - Singles: W15 Tianjin 4 (China), Hard Tennis
28.08 1 match
Tennis ITF Women - Singles: W15 Tianjin 4 (China), Hard 28.08.2026 00:00 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data
Shi Han

Shi Han

Lu Jia-Jing

🎯 PropickAI prediction
model probability · no colour signal
2 Lu Jia-Jing 59%
1 41% · 2 59%
4.20 2.87
✓ Prematch ready 📊 extended stats line ready 5 bookmakers 5 markets updated 27.08 23:40 UTC
line available on the match card 5 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 66.7% / 33.3%

Market 1 / 2: 67.0% / 33.0%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 5 · total 0

Tournament: ITF Women - Singles: W15 Tianjin 4 (China), Hard

International World Tennis. Women. China. Doubles Tennis
28.08 5 matches
Tennis International World Tennis. Women. China. Doubles 28.08.2026 00:00 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data

Han Jiangxue

Lee Eunhye

🎯 PropickAI prediction
model probability · no colour signal
2 Lee Eunhye 76%
1 24% · 2 76%
🎯 Safe pick Match winner Lee Eunhye ~87% strong
3.99 1.24
✓ Prematch ready 📊 extended stats line ready 4 bookmakers 5 markets updated 27.08 23:39 UTC
line available on the match card 4 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 25.6% / 74.4%

Market 1 / 2: 24.8% / 75.2%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 4 · total 0

Tournament: International World Tennis. Women. China. Doubles

Tennis International World Tennis. Women. China. Doubles 28.08.2026 00:00 UTC NEUTRAL · MODEL CALCULATION

Plipuech P / Chzhen Ushuan

Cheapchandej P / Yodpetch K

🎯 PropickAI prediction
model probability · no colour signal
1 Plipuech P / Chzhen Ushuan 70%
1 70% · 2 30%
🎯 Safe pick Match winner Plipuech P / Chzhen Ushuan ~79% confident
1.35 3.10
✓ Prematch ready line ready 3 bookmakers 1 market updated 27.08 23:40 UTC
line available on the match card 3 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 68.9% / 31.1%

Market 1 / 2: 69.3% / 30.8%

Favourite trap: no

Data completeness: 33%

Match context

Bookmaker coverage: 1×2 3 · total 0

Tournament: International World Tennis. Women. China. Doubles

Tennis International World Tennis. Women. China. Doubles 28.08.2026 00:00 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data

Hanatani N / Kitahara Y

Im Heerae / Kim Na Ri

🎯 PropickAI prediction
model probability · no colour signal
2 Im Heerae / Kim Na Ri 77%
1 23% · 2 77%
🎯 Safe pick Match winner Im Heerae / Kim Na Ri ~87% strong
4.16 1.21
✓ Prematch ready line ready 4 bookmakers 1 market updated 27.08 23:40 UTC
line available on the match card 4 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 23.6% / 76.4%

Market 1 / 2: 23.0% / 77.0%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 4 · total 0

Tournament: International World Tennis. Women. China. Doubles

Tennis International World Tennis. Women. China. Doubles 28.08.2026 00:00 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data
Plipuech Peangtarn

Plipuech Peangtarn

Adkar V

🎯 PropickAI prediction
model probability · no colour signal
2 Adkar V 58%
1 42% · 2 58%
2.32 1.70
✓ Prematch ready 📊 extended stats line ready 6 bookmakers 1 market updated 27.08 23:40 UTC
line available on the match card 6 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 45.2% / 54.8%

Market 1 / 2: 44.9% / 55.1%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 6 · total 0

Tournament: International World Tennis. Women. China. Doubles

Tennis International World Tennis. Women. China. Doubles 28.08.2026 00:00 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data

Nugrokho P-M

Chzhen Ushuan

🎯 PropickAI prediction
model probability · no colour signal
1 Nugrokho P-M 72%
1 72% · 2 28%
🎯 Safe pick Match winner Nugrokho P-M ~79% confident
1.31 3.40
✓ Prematch ready line ready 4 bookmakers 5 markets updated 27.08 23:40 UTC
line available on the match card 4 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 69.9% / 30.1%

Market 1 / 2: 70.8% / 29.2%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 4 · total 0

Tournament: International World Tennis. Women. China. Doubles

International World Tennis. Men. Taiwan Tennis
28.08 1 match
Tennis International World Tennis. Men. Taiwan 28.08.2026 00:00 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data

Lomakin G / Tamm K

Hazawa S / Ichikawa T

🎯 PropickAI prediction
1 Lomakin G / Tamm K 50%
1 50% · 2 50%
1.85 1.85
✓ Prematch ready line ready 2 bookmakers 1 market updated 27.08 23:39 UTC
line available on the match card 2 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: 39%

Match context

Bookmaker coverage: 1×2 2 · total 0

Tournament: International World Tennis. Men. Taiwan

International UTR Pro. Men. Australia Tennis
28.08 1 match
Tennis International UTR Pro. Men. Australia 28.08.2026 00:10 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data

Tripathi E

Jones H

🎯 PropickAI prediction
model probability · no colour signal
2 Jones H 89%
1 11% · 2 89%
🎯 Safe pick Match winner Jones H ~95% banker
8.50 1.05
✓ Prematch ready line ready 4 bookmakers 3 markets updated 27.08 23:39 UTC
line available on the match card 4 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 12.4% / 87.6%

Market 1 / 2: 11.3% / 88.7%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 4 · total 0

Tournament: International UTR Pro. Men. Australia

WTA - Doubles: Monterrey (Mexico), Hard Tennis
28.08 1 match
Tennis WTA - Doubles: Monterrey (Mexico), Hard 28.08.2026 00:30 UTC NEUTRAL · MODEL CALCULATION

Khvalinska M./Kraus S.

Aoyama S / Liang En Shuo

Aoyama S / Liang En Shuo

🎯 PropickAI prediction
model probability · no colour signal
2 Aoyama S / Liang En Shuo 71%
1 29% · 2 71%
🎯 Safe pick Match winner Aoyama S / Liang En Shuo ~79% confident
3.31 1.36
✓ Prematch ready 📊 extended stats line ready 6 bookmakers 3 markets updated 27.08 23:40 UTC
line available on the match card 6 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 31.7% / 68.3%

Market 1 / 2: 31.1% / 69.0%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 6 · total 0

Tournament: WTA - Doubles: Monterrey (Mexico), Hard

International WTA. Monterrey. Pary Tennis
28.08 1 match
Tennis International WTA. Monterrey. Pary 28.08.2026 00:30 UTC NEUTRAL · MODEL CALCULATION

Chwalinska M / Kraus S

Aoyama S / Liang En Shuo

Aoyama S / Liang En Shuo

🎯 PropickAI prediction
model probability · no colour signal
2 Aoyama S / Liang En Shuo 70%
1 30% · 2 70%
🎯 Safe pick Match winner Aoyama S / Liang En Shuo ~79% confident
3.15 1.33
✓ Prematch ready line ready 1 bookmaker 5 markets updated 27.08 19:11 UTC
line available on the match card 1 bookmaker Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 50.5% / 49.5%

Market 1 / 2: 29.7% / 70.3%

Favourite trap: no

Data completeness: 33%

Match context

Bookmaker coverage: 1×2 1 · total 0

Tournament: International WTA. Monterrey. Pary

International US Open. Men. Qualifying Wild Card Challenge Tennis
28.08 1 match
Tennis International US Open. Men. Qualifying Wild Card Challenge 28.08.2026 00:35 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data
Draxl L

Draxl L

Schoolkate T

Schoolkate T

🎯 PropickAI prediction
1 Draxl L 53%
1 53% · 2 47%
1.82 2.05
✓ Prematch ready 📊 extended stats line ready 4 bookmakers 5 markets updated 27.08 23:39 UTC
line available on the match card 4 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 52.7% / 47.3%

Market 1 / 2: 52.5% / 47.5%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 4 · total 0

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

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.