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 237
Upcoming 237
Leagues 55
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.
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LIVE 2 matches

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

Tennis International WTA. Monterrey ● LIVE144'
Bartunkova N

Bartunkova N

1

Mertens E

1
Live pick 2 Mertens E 84%
Tennis ITF Women - Singles: W15 Tianjin 4 (China), Hard ● LIVE202'
Shi Han

Shi Han

0

Adkar V. (Ind)

0
Live pick 1 Shi Han 83%
International World Tennis. Men. China. Doubles Tennis
29.08 2 matches
Tennis International World Tennis. Men. China. Doubles 29.08.2026 03:30 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data

Te Zhigele

Ferguson C

🎯 PropickAI prediction
model probability · no colour signal
1 Te Zhigele 61%
1 61% · 2 39%
1.58 2.48
✓ Prematch ready 📊 extended stats line ready 6 bookmakers 5 markets updated 29.08 03:29 UTC
line available on the match card 6 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 60.8% / 39.2%

Market 1 / 2: 61.0% / 39.0%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 6 · total 0

Tournament: International World Tennis. Men. China. Doubles

Tennis International World Tennis. Men. China. Doubles 29.08.2026 05:00 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data

Zhang Tianhui

Aguiard E

🎯 PropickAI prediction
model probability · no colour signal
2 Aguiard E 65%
1 35% · 2 65%
2.66 1.45
✓ Prematch ready 📊 extended stats line ready 4 bookmakers 5 markets updated 29.08 04:58 UTC
line available on the match card 4 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 35.3% / 64.7%

Market 1 / 2: 34.9% / 65.1%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 4 · total 0

Tournament: International World Tennis. Men. China. Doubles

ITF Men - Singles: M15 Maanshan 8 (China), Hard (indoor) Tennis
29.08 1 match
Tennis ITF Men - Singles: M15 Maanshan 8 (China), Hard (indoor) 29.08.2026 05:00 UTC NEUTRAL · MODEL CALCULATION
Zhang T. (Kit)

Zhang T. (Kit)

Aguiard E

🎯 PropickAI prediction
model probability · no colour signal
2 Aguiard E 65%
1 35% · 2 65%
🎯 Safe pick Match winner Aguiard E ~79% confident
2.65 1.42
✓ Prematch ready 📊 extended stats line ready 3 bookmakers 3 markets updated 28.08 21:10 UTC
line available on the match card 3 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 35.6% / 64.4%

Market 1 / 2: 34.9% / 65.1%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 3 · total 0

Tournament: ITF Men - Singles: M15 Maanshan 8 (China), Hard (indoor)

ITF Women - Doubles: W15 Tianjin 4 (China), Hard Tennis
29.08 1 match
Tennis ITF Women - Doubles: W15 Tianjin 4 (China), Hard 29.08.2026 06:00 UTC NEUTRAL · MODEL CALCULATION

Chipchandedzh P./Yodpetch K.

Im H./Kim Eunchae

🎯 PropickAI prediction
1 Chipchandedzh P./Yodpetch K. 50%
1 50% · 2 50%
1.85 1.85
✓ Prematch ready line ready 2 bookmakers 1 market updated 29.08 05:25 UTC
line available on the match card 2 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 50.0% / 50.0%

Market 1 / 2: 50.0% / 50.0%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 2 · total 0

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

ITF Men - Singles: M15 Hurghada 6 (Egypt), Hard Tennis
29.08 2 matches
Tennis ITF Men - Singles: M15 Hurghada 6 (Egypt), Hard 29.08.2026 06:00 UTC NEUTRAL · MODEL CALCULATION
Bakshi A

Bakshi A

Funk A. (Ger)

Funk A. (Ger)

🎯 PropickAI prediction
2 Funk A. (Ger) 50%
1 50% · 2 50%
1.91 1.90
✓ Prematch ready 📊 extended stats line ready 4 bookmakers 3 markets updated 29.08 05:25 UTC
line available on the match card 4 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 49.3% / 50.7%

Market 1 / 2: 49.2% / 50.8%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 4 · total 0

Tournament: ITF Men - Singles: M15 Hurghada 6 (Egypt), Hard

Tennis ITF Men - Singles: M15 Hurghada 6 (Egypt), Hard 29.08.2026 06:00 UTC NEUTRAL · MODEL CALCULATION

Javia D

Smiej Y. (Mar)

🎯 PropickAI prediction
model probability · no colour signal
1 Javia D 74%
1 74% · 2 26%
🎯 Safe pick Match winner Javia D ~79% confident
1.24 3.55
✓ Prematch ready 📊 extended stats line ready 3 bookmakers 3 markets updated 29.08 05:25 UTC
line available on the match card 3 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 73.8% / 26.2%

Market 1 / 2: 74.1% / 25.9%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 3 · total 0

Tournament: ITF Men - Singles: M15 Hurghada 6 (Egypt), Hard

ITF Women - Singles: W15 Hurghada 6 (Egypt), Hard Tennis
29.08 2 matches
Tennis ITF Women - Singles: W15 Hurghada 6 (Egypt), Hard 29.08.2026 06:00 UTC NEUTRAL · MODEL CALCULATION
Vaissaud D

Vaissaud D

Tkacheva M

🎯 PropickAI prediction
model probability · no colour signal
2 Tkacheva M 77%
1 23% · 2 77%
🎯 Safe pick Match winner Tkacheva M ~87% strong
4.08 1.23
✓ Prematch ready 📊 extended stats line ready 3 bookmakers 3 markets updated 29.08 05:25 UTC
line available on the match card 3 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 25.5% / 74.5%

Market 1 / 2: 24.7% / 75.3%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 3 · total 0

Tournament: ITF Women - Singles: W15 Hurghada 6 (Egypt), Hard

Tennis ITF Women - Singles: W15 Hurghada 6 (Egypt), Hard 29.08.2026 06:00 UTC NEUTRAL · MODEL CALCULATION

Diatlova K. (Ukr)

Brune E. C. (Ger)

🎯 PropickAI prediction
model probability · no colour signal
1 Diatlova K. (Ukr) 67%
1 67% · 2 33%
🎯 Safe pick Match winner Diatlova K. (Ukr) ~79% confident
1.47 2.95
✓ Prematch ready 📊 extended stats line ready 5 bookmakers 3 markets updated 29.08 05:25 UTC
line available on the match card 5 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 64.1% / 35.9%

Market 1 / 2: 64.4% / 35.6%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 5 · total 0

Tournament: ITF Women - Singles: W15 Hurghada 6 (Egypt), Hard

ITF Men - Singles: M15 Bucharest 3 (Romania), Clay Tennis
29.08 2 matches
Tennis ITF Men - Singles: M15 Bucharest 3 (Romania), Clay 29.08.2026 07:00 UTC NEUTRAL · MODEL CALCULATION

Breazu V. C. (Rum)

Turcanu R D

Turcanu R D

🎯 PropickAI prediction
model probability · no colour signal
2 Turcanu R D 66%
1 34% · 2 66%
🎯 Safe pick Match winner Turcanu R D ~79% confident
2.80 1.47
✓ Prematch ready 📊 extended stats line ready 4 bookmakers 3 markets updated 29.08 05:25 UTC
line available on the match card 4 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 35.5% / 64.5%

Market 1 / 2: 35.0% / 65.0%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 4 · total 0

Tournament: ITF Men - Singles: M15 Bucharest 3 (Romania), Clay

Tennis ITF Men - Singles: M15 Bucharest 3 (Romania), Clay 29.08.2026 08:30 UTC NEUTRAL · MODEL CALCULATION

Ghetu G

Mazdrashki A

🎯 PropickAI prediction
model probability · no colour signal
1 Ghetu G 68%
1 68% · 2 32%
🎯 Safe pick Match winner Ghetu G ~79% confident
1.40 3.00
✓ Prematch ready 📊 extended stats line ready 5 bookmakers 3 markets updated 29.08 05:25 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: 66.9% / 33.1%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 5 · total 0

Tournament: ITF Men - Singles: M15 Bucharest 3 (Romania), Clay

ITF Men - Singles: M25 Maribor (Slovenia), Clay Tennis
29.08 2 matches
Tennis ITF Men - Singles: M25 Maribor (Slovenia), Clay 29.08.2026 08:00 UTC PRICE QUALITY

Pieri S

Sorger S

Sorger S

🎯 PropickAI prediction
model probability · no colour signal
2 Sorger S 69%
1 31% · 2 69%
🎯 Safe pick Match winner Sorger S ~79% confident
3.05 1.40
✓ Prematch ready 📊 extended stats line ready 4 bookmakers 3 markets updated 29.08 05:25 UTC
line available on the match card 4 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 33.5% / 66.5%

Market 1 / 2: 33.2% / 66.8%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 4 · total 0

Tournament: ITF Men - Singles: M25 Maribor (Slovenia), Clay

Tennis ITF Men - Singles: M25 Maribor (Slovenia), Clay 29.08.2026 08:00 UTC NEUTRAL · MODEL CALCULATION

Planinsek F J

Dominko S. (Sln)

🎯 PropickAI prediction
2 Dominko S. (Sln) 54%
1 46% · 2 54%
2.05 1.77
✓ Prematch ready 📊 extended stats line ready 4 bookmakers 3 markets updated 29.08 05:25 UTC
line available on the match card 4 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 46.5% / 53.5%

Market 1 / 2: 46.2% / 53.8%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 4 · total 0

Tournament: ITF Men - Singles: M25 Maribor (Slovenia), Clay

ITF Men - Singles: M15 Pecs (Hungary), Clay Tennis
29.08 2 matches
Tennis ITF Men - Singles: M15 Pecs (Hungary), Clay 29.08.2026 08:00 UTC NEUTRAL · MODEL CALCULATION

Hallquist Lithen J

Monzon I

🎯 PropickAI prediction
model probability · no colour signal
1 Hallquist Lithen J 63%
1 63% · 2 37%
1.48 2.55
✓ Prematch ready 📊 extended stats line ready 3 bookmakers 3 markets updated 29.08 05:25 UTC
line available on the match card 3 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 62.2% / 37.8%

Market 1 / 2: 62.5% / 37.5%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 3 · total 0

Tournament: ITF Men - Singles: M15 Pecs (Hungary), Clay

Tennis ITF Men - Singles: M15 Pecs (Hungary), Clay 29.08.2026 08:00 UTC NEUTRAL · MODEL CALCULATION

Sperle J

Baum S

Baum S

🎯 PropickAI prediction
model probability · no colour signal
1 Sperle J 68%
1 68% · 2 32%
🎯 Safe pick Match winner Sperle J ~79% confident
1.40 2.95
✓ Prematch ready 📊 extended stats line ready 5 bookmakers 3 markets updated 29.08 05:25 UTC
line available on the match card 5 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 67.7% / 32.3%

Market 1 / 2: 68.1% / 31.9%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 5 · total 0

Tournament: ITF Men - Singles: M15 Pecs (Hungary), Clay

ITF Women - Singles: W50 Kursumlijska Banja (Serbia), Clay Tennis
29.08 1 match
Tennis ITF Women - Singles: W50 Kursumlijska Banja (Serbia), Clay 29.08.2026 08:00 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data

De Stefano S

Golovina M

🎯 PropickAI prediction
model probability · no colour signal
1 De Stefano S 75%
1 75% · 2 25%
🎯 Safe pick Match winner De Stefano S ~79% confident
1.28 3.80
✓ Prematch ready 📊 extended stats line ready 6 bookmakers 5 markets updated 29.08 05:25 UTC
line available on the match card 6 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 73.7% / 26.3%

Market 1 / 2: 74.4% / 25.7%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 6 · total 0

Tournament: ITF Women - Singles: W50 Kursumlijska Banja (Serbia), Clay

ITF Men - Singles: M15 Cap d'Agde (France), Clay Tennis
29.08 1 match
Tennis ITF Men - Singles: M15 Cap d'Agde (France), Clay 29.08.2026 08:00 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data

Chazal M

De Schepper K

🎯 PropickAI prediction
model probability · no colour signal
1 Chazal M 74%
1 74% · 2 26%
🎯 Safe pick Match winner Chazal M ~79% confident
1.33 3.75
✓ Prematch ready 📊 extended stats line ready 6 bookmakers 5 markets updated 29.08 05:25 UTC
line available on the match card 6 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 71.2% / 28.8%

Market 1 / 2: 71.6% / 28.4%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 6 · total 0

Tournament: ITF Men - Singles: M15 Cap d'Agde (France), Clay

ITF Men - Doubles: M15 Pecs (Hungary), Clay Tennis
29.08 1 match
Tennis ITF Men - Doubles: M15 Pecs (Hungary), Clay 29.08.2026 08:00 UTC NEUTRAL · MODEL CALCULATION

Lanik T

Gschwendtner J./Tenti F.

🎯 PropickAI prediction
1 Lanik T 50%
1 50% · 2 50%
1.85 1.85
✓ Prematch ready line ready 3 bookmakers 1 market updated 29.08 05:25 UTC
line available on the match card 3 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 3 · total 0

Tournament: ITF Men - Doubles: M15 Pecs (Hungary), Clay

ITF Men - Doubles: M25 Oldenzaal (Netherlands), Clay Tennis
29.08 1 match
Tennis ITF Men - Doubles: M25 Oldenzaal (Netherlands), Clay 29.08.2026 08:00 UTC NEUTRAL · MODEL CALCULATION

Paardekooper S./Van Sambeek F.

Al-Amin K./Vessels L.

🎯 PropickAI prediction
1 Paardekooper S./Van Sambeek F. 50%
1 50% · 2 50%
1.85 1.85
✓ Prematch ready line ready 3 bookmakers 1 market updated 29.08 05:25 UTC
line available on the match card 3 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 50.0% / 50.0%

Market 1 / 2: 50.0% / 50.0%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 3 · total 0

Tournament: ITF Men - Doubles: M25 Oldenzaal (Netherlands), Clay

ITF Men - Singles: M25 Lausanne (Switzerland), Clay Tennis
29.08 1 match
Tennis ITF Men - Singles: M25 Lausanne (Switzerland), Clay 29.08.2026 08:00 UTC NEUTRAL · MODEL CALCULATION
Chepelev A

Chepelev A

Carboni L

Carboni L

🎯 PropickAI prediction
model probability · no colour signal
2 Carboni L 60%
1 40% · 2 60%
2.40 1.63
✓ Prematch ready 📊 extended stats line ready 5 bookmakers 3 markets updated 29.08 05:25 UTC
line available on the match card 5 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 40.9% / 59.1%

Market 1 / 2: 40.3% / 59.7%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 5 · total 0

Tournament: ITF Men - Singles: M25 Lausanne (Switzerland), Clay

ITF Men - Doubles: M15 Kursumlijska Banja 13 (Serbia), Clay Tennis
29.08 1 match
Tennis ITF Men - Doubles: M15 Kursumlijska Banja 13 (Serbia), Clay 29.08.2026 08:00 UTC NEUTRAL · MODEL CALCULATION

Oparnica A./Warik C.

Fumagalli F./Liusso M.

🎯 PropickAI prediction
model probability · no colour signal
2 Fumagalli F./Liusso M. 66%
1 34% · 2 66%
🎯 Safe pick Match winner Fumagalli F./Liusso M. ~79% confident
2.75 1.40
✓ Prematch ready line ready 2 bookmakers 1 market updated 29.08 05:25 UTC
line available on the match card 2 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 34.6% / 65.4%

Market 1 / 2: 33.9% / 66.1%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 2 · total 0

Tournament: ITF Men - Doubles: M15 Kursumlijska Banja 13 (Serbia), Clay

ITF Men - Doubles: M25 Oviedo (Spain), Clay Tennis
29.08 1 match
Tennis ITF Men - Doubles: M25 Oviedo (Spain), Clay 29.08.2026 08:00 UTC NEUTRAL · MODEL CALCULATION

Garsiia A./Mansilia Dies M.

Aunion P./Palomar X.

🎯 PropickAI prediction
model probability · no colour signal
1 Garsiia A./Mansilia Dies M. 72%
1 72% · 2 28%
🎯 Safe pick Match winner Garsiia A./Mansilia Dies M. ~79% confident
1.29 3.40
✓ Prematch ready line ready 3 bookmakers 1 market updated 29.08 05:25 UTC
line available on the match card 3 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 72.4% / 27.6%

Market 1 / 2: 72.7% / 27.4%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 3 · total 0

Tournament: ITF Men - Doubles: M25 Oviedo (Spain), Clay

ITF Women - Doubles: W50 Kursumlijska Banja (Serbia), Clay Tennis
29.08 1 match
Tennis ITF Women - Doubles: W50 Kursumlijska Banja (Serbia), Clay 29.08.2026 08:00 UTC NEUTRAL · MODEL CALCULATION

Dencheva R./Golovina M.

Karatancheva L./Tkhombare P.

🎯 PropickAI prediction
2 Karatancheva L./Tkhombare P. 53%
1 47% · 2 53%
2.00 1.76
✓ Prematch ready line ready 3 bookmakers 1 market updated 29.08 05:25 UTC
line available on the match card 3 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 47.1% / 52.9%

Market 1 / 2: 46.9% / 53.2%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 3 · total 0

Tournament: ITF Women - Doubles: W50 Kursumlijska Banja (Serbia), Clay

ITF Women - Doubles: W50 Oldenzaal (Netherlands), Clay Tennis
29.08 1 match
Tennis ITF Women - Doubles: W50 Oldenzaal (Netherlands), Clay 29.08.2026 08:00 UTC NEUTRAL · MODEL CALCULATION

Shinikova I./Tran L.

Morderger T / Morderger Y

🎯 PropickAI prediction
model probability · no colour signal
1 Shinikova I./Tran L. 61%
1 61% · 2 39%
1.55 2.40
✓ Prematch ready line ready 3 bookmakers 1 market updated 29.08 05:25 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: 60.3% / 39.7%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 3 · total 0

Tournament: ITF Women - Doubles: W50 Oldenzaal (Netherlands), Clay

ITF Women - Singles: W35 Verbier 2 (Switzerland), Clay Tennis
29.08 1 match
Tennis ITF Women - Singles: W35 Verbier 2 (Switzerland), Clay 29.08.2026 08:30 UTC NEUTRAL · MODEL CALCULATION
Lene E

Lene E

Cvetkovic A. (Ser)

🎯 PropickAI prediction
model probability · no colour signal
1 Lene E 61%
1 61% · 2 39%
1.52 2.38
✓ Prematch ready 📊 extended stats line ready 3 bookmakers 3 markets updated 29.08 05:25 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: 61.3% / 38.7%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 3 · total 0

Tournament: ITF Women - Singles: W35 Verbier 2 (Switzerland), Clay

ITF Men - Singles: M25 Poznan (Poland), Clay Tennis
29.08 1 match
Tennis ITF Men - Singles: M25 Poznan (Poland), Clay 29.08.2026 09:00 UTC NEUTRAL · MODEL CALCULATION

Michalski D

Mashtakov N

Mashtakov N

🎯 PropickAI prediction
model probability · no colour signal
1 Michalski D 80%
1 80% · 2 20%
🎯 Safe pick Match winner Michalski D ~87% strong
1.16 4.60
✓ Prematch ready 📊 extended stats line ready 4 bookmakers 3 markets updated 29.08 05:25 UTC
line available on the match card 4 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 79.0% / 21.0%

Market 1 / 2: 79.9% / 20.1%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 4 · total 0

Tournament: ITF Men - Singles: M25 Poznan (Poland), Clay

ITF Women - Singles: W75 Bytom (Poland), Clay Tennis
29.08 1 match
Tennis ITF Women - Singles: W75 Bytom (Poland), Clay 29.08.2026 09:00 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data

Hodzic M

Palicova B

Palicova B

🎯 PropickAI prediction
model probability · no colour signal
2 Palicova B 72%
1 28% · 2 72%
🎯 Safe pick Match winner Palicova B ~79% confident
3.30 1.30
✓ Prematch ready 📊 extended stats line ready 4 bookmakers 5 markets updated 29.08 05:25 UTC
line available on the match card 4 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 28.8% / 71.2%

Market 1 / 2: 28.2% / 71.8%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 4 · total 0

Tournament: ITF Women - Singles: W75 Bytom (Poland), Clay

ITF Women - Singles: W15 Brasov (Romania), Clay Tennis
29.08 1 match
Tennis ITF Women - Singles: W15 Brasov (Romania), Clay 29.08.2026 09:00 UTC NEUTRAL · MODEL CALCULATION

Krechun Dzh. (Rum)

Amarlei I. (Rum)

🎯 PropickAI prediction
model probability · no colour signal
2 Amarlei I. (Rum) 67%
1 33% · 2 67%
🎯 Safe pick Match winner Amarlei I. (Rum) ~79% confident
2.85 1.42
✓ Prematch ready line ready 2 bookmakers 3 markets updated 29.08 05:25 UTC
line available on the match card 2 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 34.4% / 65.6%

Market 1 / 2: 34.2% / 65.8%

Favourite trap: no

Data completeness: 29%

Match context

Bookmaker coverage: 1×2 2 · total 0

Tournament: ITF Women - Singles: W15 Brasov (Romania), Clay

International ATP Challenger. Augsburg. Doubles Tennis
29.08 1 match
Tennis International ATP Challenger. Augsburg. Doubles 29.08.2026 09:00 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data

Rechek D / Siniakov D

La Serna J M / Ribeiro E

🎯 PropickAI prediction
1 Rechek D / Siniakov D 50%
1 50% · 2 50%
1.85 1.85
✓ Prematch ready line ready 4 bookmakers 1 market updated 29.08 05:25 UTC
line available on the match card 4 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 50.0% / 50.0%

Market 1 / 2: 50.0% / 50.0%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 4 · total 0

Tournament: International ATP Challenger. Augsburg. Doubles

ITF Women - Singles: W50 Oldenzaal (Netherlands), Clay Tennis
29.08 1 match
Tennis ITF Women - Singles: W50 Oldenzaal (Netherlands), Clay 29.08.2026 09:30 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data

Ebeling Koning L

Shunk N. (Ger)

🎯 PropickAI prediction
model probability · no colour signal
2 Shunk N. (Ger) 58%
1 42% · 2 58%
2.23 1.61
✓ Prematch ready line ready 6 bookmakers 5 markets updated 29.08 05:25 UTC
line available on the match card 6 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 42.5% / 57.5%

Market 1 / 2: 42.0% / 58.0%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 6 · total 0

Tournament: ITF Women - Singles: W50 Oldenzaal (Netherlands), Clay

ITF Women - Singles: W15 Torello (Spain), Hard Tennis
29.08 1 match
Tennis ITF Women - Singles: W15 Torello (Spain), Hard 29.08.2026 09:30 UTC NEUTRAL · MODEL CALCULATION

Cervino Ruiz C

Garcia Julia

🎯 PropickAI prediction
model probability · no colour signal
2 Garcia Julia 64%
1 36% · 2 64%
2.52 1.42
✓ Prematch ready 📊 extended stats line ready 1 bookmaker 3 markets updated 29.08 05:25 UTC
line available on the match card 1 bookmaker Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 55.4% / 44.6%

Market 1 / 2: 36.0% / 64.0%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 1 · total 0

Tournament: ITF Women - Singles: W15 Torello (Spain), Hard

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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.