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. AI Lab ($19/mo) opens more of the board and lets you run your own AI prompt on any match with the accuracy tracked; Full Access adds the entire feed and the 7-AI consensus.
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Shown 390
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Leagues 54
Bookmakers 7
Showing 26 upcoming matches. These are upcoming events for the selected sport. Use the sport, league and date filters to narrow the list.
LIVE now In-play matches
LIVE 5 matches

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

Tennis Challenger Men - Singles: Porto 2 (Portugal), Clay ● LIVE48'

Cacao T

1
Moro Canas A

Moro Canas A

0
Live pick 1 Cacao T 58%
Tennis International Plovdiv 3 ● LIVE23'

Planinsek F J

0

Parisca I

0
Live pick 2 Parisca I 54%
Tennis International Manakor ● LIVE98'
Bertola R

Bertola R

0
Kym J

Kym J

1
Live pick 2 Kym J 63%
Tennis Challenger Men - Singles: Porto 2 (Portugal), Clay ● LIVE83'

Bailly G A

1
Barrena A

Barrena A

0
Live pick 1 Bailly G A 89%
Tennis Challenger Men - Singles: Porto 2 (Portugal), Clay ● LIVE83'
Kuzmanov D

Kuzmanov D

1
Ayeni A

Ayeni A

1
Live pick 1 Kuzmanov D 92%
ATP - Singles: Open Championship USA (USA), Hard Tennis
01.09 7 matches
Tennis ATP - Singles: Open Championship USA (USA), Hard 01.09.2026 15:00 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data
Comesana F

Comesana F

Cobolli F

Cobolli F

🎯 PropickAI prediction
model probability · no colour signal
2 Cobolli F 79%
1 21% · 2 79%
🎯 Safe pick Match winner Cobolli F ~87% strong
4.64 1.23
✓ Prematch ready 📊 extended stats line ready 6 bookmakers 5 markets updated 01.09 16:21 UTC
line available on the match card 6 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 21.9% / 78.1%

Market 1 / 2: 21.3% / 78.7%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 6 · total 0

Tournament: ATP - Singles: Open Championship USA (USA), Hard

Tennis ATP - Singles: Open Championship USA (USA), Hard 01.09.2026 15:00 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data
Sweeny D

Sweeny D

Moutet, Corentin

Moutet, Corentin

🎯 PropickAI prediction
model probability · no colour signal
2 Moutet, Corentin 73%
1 27% · 2 73%
🎯 Safe pick Match winner Moutet, Corentin ~79% confident
3.67 1.35
✓ Prematch ready 📊 extended stats line ready 5 bookmakers 5 markets updated 01.09 16:50 UTC
line available on the match card 5 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 30.5% / 69.5%

Market 1 / 2: 29.7% / 70.3%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 5 · total 0

Tournament: ATP - Singles: Open Championship USA (USA), Hard

Tennis ATP - Singles: Open Championship USA (USA), Hard 01.09.2026 15:00 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data
Cerundolo J M

Cerundolo J M

Ruud C

Ruud C

🎯 PropickAI prediction
model probability · no colour signal
2 Ruud C 62%
1 38% · 2 62%
2.55 1.54
✓ Prematch ready 📊 extended stats line ready 6 bookmakers 5 markets updated 30.08 17:41 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% / 62.7%

Favourite trap: no

Data completeness: 44%

Match context

Bookmaker coverage: 1×2 6 · total 0

Tournament: ATP - Singles: Open Championship USA (USA), Hard

Tennis ATP - Singles: Open Championship USA (USA), Hard 01.09.2026 15:00 UTC NEUTRAL · MODEL CALCULATION
Basavareddy, Nishesh

Basavareddy, Nishesh

Schoolkate T

🎯 PropickAI prediction
model probability · no colour signal
1 Basavareddy, Nishesh 68%
1 68% · 2 32%
🎯 Safe pick Match winner Basavareddy, Nishesh ~79% confident
1.40 3.00
✓ Prematch ready 📊 extended stats line ready 3 bookmakers 3 markets updated 29.08 10:49 UTC
line available on the match card 3 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 67.5% / 32.5%

Market 1 / 2: 68.2% / 31.8%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 3 · total 0

Tournament: ATP - Singles: Open Championship USA (USA), Hard

Tennis ATP - Singles: Open Championship USA (USA), Hard 01.09.2026 16:30 UTC PRICE QUALITY 📊 Rich data
Bergs Z

Bergs Z

Taberner C

Taberner C

🎯 PropickAI prediction
model probability · no colour signal
1 Bergs Z 93%
1 93% · 2 7%
🎯 Safe pick Match winner Bergs Z ~95% banker
1.05 14.00
✓ Prematch ready 📊 extended stats line ready 7 bookmakers 5 markets updated 01.09 16:50 UTC
line available on the match card 7 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 90.9% / 9.1%

Market 1 / 2: 92.1% / 7.9%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 7 · total 0

Tournament: ATP - Singles: Open Championship USA (USA), Hard

Tennis ATP - Singles: Open Championship USA (USA), Hard 01.09.2026 16:30 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data
Ugo Carabelli C

Ugo Carabelli C

Struff J-L

Struff J-L

🎯 PropickAI prediction
model probability · no colour signal
2 Struff J-L 65%
1 35% · 2 65%
🎯 Safe pick Match winner Struff J-L ~79% confident
2.79 1.49
✓ Prematch ready 📊 extended stats line ready 7 bookmakers 5 markets updated 01.09 16:36 UTC
line available on the match card 7 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 35.8% / 64.2%

Market 1 / 2: 35.3% / 64.8%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 7 · total 0

Tournament: ATP - Singles: Open Championship USA (USA), Hard

Tennis ATP - Singles: Open Championship USA (USA), Hard 01.09.2026 16:30 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data
Fery A

Fery A

Musetti L

Musetti L

🎯 PropickAI prediction
model probability · no colour signal
2 Musetti L 79%
1 21% · 2 79%
🎯 Safe pick Match winner Musetti L ~87% strong
4.60 1.25
✓ Prematch ready 📊 extended stats line ready 7 bookmakers 5 markets updated 01.09 16:50 UTC
line available on the match card 7 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 24.0% / 76.0%

Market 1 / 2: 23.1% / 76.9%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 7 · total 0

Tournament: ATP - Singles: Open Championship USA (USA), Hard

International US Open. Men. Qualifying Wild Card Challenge Tennis
01.09 3 matches
Tennis International US Open. Men. Qualifying Wild Card Challenge 01.09.2026 15:05 UTC NEUTRAL · MODEL CALCULATION
Misolich F. (Avt)

Misolich F. (Avt)

Cerundolo F

Cerundolo F

🎯 PropickAI prediction
model probability · no colour signal
2 Cerundolo F 92%
1 8% · 2 92%
🎯 Safe pick Match winner Cerundolo F ~95% banker
12.50 1.06
✓ Prematch ready line ready 7 bookmakers 5 markets updated 01.09 16:50 UTC
line available on the match card 7 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 10.2% / 89.8%

Market 1 / 2: 8.8% / 91.2%

Favourite trap: no

Data completeness: 33%

Match context

Bookmaker coverage: 1×2 7 · total 0

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

Tennis International US Open. Men. Qualifying Wild Card Challenge 01.09.2026 15:05 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data
Bellucci M

Bellucci M

Piros Z

Piros Z

🎯 PropickAI prediction
model probability · no colour signal
1 Bellucci M 66%
1 66% · 2 34%
🎯 Safe pick Match winner Bellucci M ~79% confident
1.47 2.89
✓ Prematch ready 📊 extended stats line ready 5 bookmakers 5 markets updated 01.09 16:50 UTC
line available on the match card 5 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 65.1% / 34.9%

Market 1 / 2: 65.8% / 34.2%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 5 · total 0

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

Tennis International US Open. Men. Qualifying Wild Card Challenge 01.09.2026 15:00 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data
Basavareddi N

Basavareddi N

Schoolkate T

Schoolkate T

🎯 PropickAI prediction
model probability · no colour signal
1 Basavareddi N 72%
1 72% · 2 28%
🎯 Safe pick Match winner Basavareddi N ~79% confident
1.35 3.50
✓ Prematch ready line ready 5 bookmakers 5 markets updated 01.09 16:50 UTC
line available on the match card 5 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 71.8% / 28.2%

Market 1 / 2: 72.2% / 27.8%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 5 · total 0

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

WTA - Singles: Open Championship USA (USA), Hard Tennis
01.09 6 matches
Tennis WTA - Singles: Open Championship USA (USA), Hard 01.09.2026 15:00 UTC NEUTRAL · MODEL CALCULATION
Frodin, Thea

Frodin, Thea

Rybakina, Elena

Rybakina, Elena

🎯 PropickAI prediction
model probability · no colour signal
2 Rybakina, Elena 82%
1 18% · 2 82%
🎯 Safe pick Match winner Rybakina, Elena ~87% strong
14.00 3.00
✓ Prematch ready 📊 extended stats line ready 5 bookmakers 3 markets updated 01.09 14:59 UTC
line available on the match card 5 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 68.1% / 31.9%

Market 1 / 2: 69.0% / 31.0%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 5 · total 0

Tournament: WTA - Singles: Open Championship USA (USA), Hard

Tennis WTA - Singles: Open Championship USA (USA), Hard 01.09.2026 15:00 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data
Putintseva Y

Putintseva Y

Benchich B. (Shva)

Benchich B. (Shva)

🎯 PropickAI prediction
model probability · no colour signal
2 Benchich B. (Shva) 81%
1 19% · 2 81%
🎯 Safe pick Match winner Benchich B. (Shva) ~87% strong
5.00 1.20
✓ Prematch ready line ready 4 bookmakers 5 markets updated 01.09 16:51 UTC
line available on the match card 4 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 21.0% / 79.0%

Market 1 / 2: 20.3% / 79.7%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 4 · total 0

Tournament: WTA - Singles: Open Championship USA (USA), Hard

Tennis WTA - Singles: Open Championship USA (USA), Hard 01.09.2026 15:00 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data
Starodubtseva Y

Starodubtseva Y

Seidel E

Seidel E

🎯 PropickAI prediction
model probability · no colour signal
1 Starodubtseva Y 71%
1 71% · 2 29%
🎯 Safe pick Match winner Starodubtseva Y ~79% confident
1.38 3.45
✓ Prematch ready 📊 extended stats line ready 5 bookmakers 5 markets updated 01.09 16:51 UTC
line available on the match card 5 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 69.2% / 30.8%

Market 1 / 2: 69.5% / 30.5%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 5 · total 0

Tournament: WTA - Singles: Open Championship USA (USA), Hard

Tennis WTA - Singles: Open Championship USA (USA), Hard 01.09.2026 15:00 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data
Sakkari M

Sakkari M

Montgomery R

Montgomery R

🎯 PropickAI prediction
model probability · no colour signal
1 Sakkari M 59%
1 59% · 2 41%
1.65 2.38
✓ Prematch ready 📊 extended stats line ready 7 bookmakers 5 markets updated 01.09 16:51 UTC
line available on the match card 7 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 58.7% / 41.3%

Market 1 / 2: 59.0% / 41.0%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 7 · total 0

Tournament: WTA - Singles: Open Championship USA (USA), Hard

Tennis WTA - Singles: Open Championship USA (USA), Hard 01.09.2026 15:30 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data
Keys M

Keys M

Korneeva A

Korneeva A

🎯 PropickAI prediction
model probability · no colour signal
1 Keys M 70%
1 70% · 2 30%
🎯 Safe pick Match winner Keys M ~79% confident
1.38 3.29
✓ Prematch ready 📊 extended stats line ready 5 bookmakers 5 markets updated 01.09 16:36 UTC
line available on the match card 5 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 70.1% / 29.9%

Market 1 / 2: 70.5% / 29.5%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 5 · total 0

Tournament: WTA - Singles: Open Championship USA (USA), Hard

Tennis WTA - Singles: Open Championship USA (USA), Hard 01.09.2026 16:30 UTC NEUTRAL · MODEL CALCULATION
Kasatkina D

Kasatkina D

Badosa Kh.-P. (Isp)

Badosa Kh.-P. (Isp)

🎯 PropickAI prediction
model probability · no colour signal
2 Badosa Kh.-P. (Isp) 78%
1 22% · 2 78%
🎯 Safe pick Match winner Badosa Kh.-P. (Isp) ~87% strong
9.70 2.70
✓ Prematch ready 📊 extended stats line ready 5 bookmakers 3 markets updated 01.09 16:16 UTC
line available on the match card 5 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 44.7% / 55.3%

Market 1 / 2: 44.9% / 55.1%

Favourite trap: no

Data completeness: 24%

Match context

Bookmaker coverage: 1×2 5 · total 0

Tournament: WTA - Singles: Open Championship USA (USA), Hard

International US Open. Women Tennis
01.09 4 matches
Tennis International US Open. Women 01.09.2026 15:00 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data

Frodin T

Rybakina E

Rybakina E

🎯 PropickAI prediction
model probability · no colour signal
2 Rybakina E 93%
1 7% · 2 93%
🎯 Safe pick Match winner Rybakina E ~95% banker
14.00 1.05
✓ Prematch ready 📊 extended stats line ready 7 bookmakers 5 markets updated 01.09 16:51 UTC
line available on the match card 7 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 8.9% / 91.1%

Market 1 / 2: 8.0% / 92.0%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 7 · total 0

Tournament: International US Open. Women

Tennis International US Open. Women 01.09.2026 15:00 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data
Knutson G A

Knutson G A

Lys E

Lys E

🎯 PropickAI prediction
model probability · no colour signal
2 Lys E 61%
1 39% · 2 61%
2.50 1.62
✓ Prematch ready 📊 extended stats line ready 7 bookmakers 5 markets updated 01.09 16:36 UTC
line available on the match card 7 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 40.2% / 59.8%

Market 1 / 2: 39.5% / 60.5%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 7 · total 0

Tournament: International US Open. Women

Tennis International US Open. Women 01.09.2026 16:30 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data
Kasatkina D

Kasatkina D

Badosa P

Badosa P

🎯 PropickAI prediction
2 Badosa P 53%
1 47% · 2 53%
2.06 1.84
✓ Prematch ready 📊 extended stats line ready 7 bookmakers 5 markets updated 01.09 16:51 UTC
line available on the match card 7 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 46.5% / 53.5%

Market 1 / 2: 46.6% / 53.4%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 7 · total 0

Tournament: International US Open. Women

Tennis International US Open. Women 01.09.2026 16:30 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data
Havlickova L

Havlickova L

Bondar A

Bondar A

🎯 PropickAI prediction
model probability · no colour signal
2 Bondar A 61%
1 39% · 2 61%
2.50 1.59
✓ Prematch ready 📊 extended stats line ready 5 bookmakers 5 markets updated 01.09 16:37 UTC
line available on the match card 5 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 39.6% / 60.4%

Market 1 / 2: 38.9% / 61.1%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 5 · total 0

Tournament: International US Open. Women

Challenger Men - Doubles: Porto 2 (Portugal), Clay Tennis
01.09 1 match
Tennis Challenger Men - Doubles: Porto 2 (Portugal), Clay 01.09.2026 15:00 UTC NEUTRAL · MODEL CALCULATION

Alkala Gurri M./Roka Batalia O.

Martos Gornes S / Walkow S

🎯 PropickAI prediction
model probability · no colour signal
2 Martos Gornes S / Walkow S 61%
1 39% · 2 61%
2.40 1.54
✓ Prematch ready line ready 4 bookmakers 1 market updated 01.09 15:05 UTC
line available on the match card 4 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 39.3% / 60.7%

Market 1 / 2: 38.9% / 61.1%

Favourite trap: no

Data completeness: 33%

Match context

Bookmaker coverage: 1×2 4 · total 0

Tournament: Challenger Men - Doubles: Porto 2 (Portugal), Clay

ITF Men - Doubles: M15 Szczawno (Poland), Clay Tennis
01.09 1 match
Tennis ITF Men - Doubles: M15 Szczawno (Poland), Clay 01.09.2026 15:00 UTC NEUTRAL · MODEL CALCULATION

Kosinski F./Shairikh Ia.

Hallquist Lithen J./Lagerbohm L.

🎯 PropickAI prediction
model probability · no colour signal
2 Hallquist Lithen J./Lagerbohm L. 84%
1 16% · 2 84%
🎯 Safe pick Match winner Hallquist Lithen J./Lagerbohm L. ~87% strong
5.90 1.10
✓ Prematch ready line ready 1 bookmaker 1 market updated 01.09 14:46 UTC
line available on the match card 1 bookmaker Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 44.6% / 55.4%

Market 1 / 2: 15.7% / 84.3%

Favourite trap: no

Data completeness: 18%

Match context

Bookmaker coverage: 1×2 1 · total 0

Tournament: ITF Men - Doubles: M15 Szczawno (Poland), Clay

Challenger Men - Singles: Plovdiv 3 (Bulgaria), Clay Tennis
01.09 2 matches
Tennis Challenger Men - Singles: Plovdiv 3 (Bulgaria), Clay 01.09.2026 15:30 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data

Nesterov, Pyotr

Milev, Yanaki

🎯 PropickAI prediction
model probability · no colour signal
1 Nesterov, Pyotr 79%
1 79% · 2 21%
🎯 Safe pick Match winner Nesterov, Pyotr ~87% strong
1.22 4.50
✓ Prematch ready 📊 extended stats line ready 6 bookmakers 5 markets updated 01.09 14:29 UTC
line available on the match card 6 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 76.2% / 23.8%

Market 1 / 2: 76.7% / 23.3%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 6 · total 0

Tournament: Challenger Men - Singles: Plovdiv 3 (Bulgaria), Clay

Tennis Challenger Men - Singles: Plovdiv 3 (Bulgaria), Clay 01.09.2026 16:00 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data

Brunclik P

Sorger S

Sorger S

🎯 PropickAI prediction
2 Sorger S 54%
1 46% · 2 54%
2.06 1.75
✓ Prematch ready 📊 extended stats line ready 4 bookmakers 5 markets updated 01.09 15:50 UTC
line available on the match card 4 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 45.9% / 54.1%

Market 1 / 2: 45.9% / 54.2%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 4 · total 0

Tournament: Challenger Men - Singles: Plovdiv 3 (Bulgaria), Clay

Challenger Men - Singles: Porto 2 (Portugal), Clay Tennis
01.09 1 match
Tennis Challenger Men - Singles: Porto 2 (Portugal), Clay 01.09.2026 16:30 UTC PRICE QUALITY 📊 Rich data

Rocha F

Pereira, Tiago

Pereira, Tiago

🎯 PropickAI prediction
model probability · no colour signal
2 Pereira, Tiago 74%
1 26% · 2 74%
🎯 Safe pick Match winner Pereira, Tiago ~79% confident
3.65 1.27
✓ Prematch ready 📊 extended stats line ready 6 bookmakers 5 markets updated 01.09 16:29 UTC
line available on the match card 6 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 27.0% / 73.0%

Market 1 / 2: 26.5% / 73.5%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 6 · total 0

Tournament: Challenger Men - Singles: Porto 2 (Portugal), Clay

International ATP Challenger. Portu Tennis
01.09 1 match
Tennis International ATP Challenger. Portu 01.09.2026 16:30 UTC NEUTRAL · MODEL CALCULATION 📊 Rich data

Vives Marcos P

Ribeiro E

🎯 PropickAI prediction
2 Ribeiro E 52%
1 48% · 2 52%
1.96 1.81
✓ Prematch ready line ready 6 bookmakers 5 markets updated 01.09 16:29 UTC
line available on the match card 6 bookmakers Details
All stats and model conclusions

Model vs market

Glicko 1 / 2: 48.5% / 51.5%

Market 1 / 2: 48.0% / 52.0%

Favourite trap: no

Data completeness: 39%

Match context

Bookmaker coverage: 1×2 6 · total 0

Tournament: International ATP Challenger. Portu

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.