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ITF Women - Singles: W50 Knokke-Heist (Belgium), clay
ITF Women - Singles: W50 Knokke-Heist (Belgium), clay

Mansuri Ya. πŸ‡«πŸ‡· - Lim J

Tennis ITF Women - Singles: W50 Knokke-Heist (Belgium), clay
ITF Women - Singles: W50 Knokke-Heist (Belgium), clay clay 28.07.2026 09:30 UTC Finished
28.07.2026 09:30 UTC Finished
M
Mansuri Ya. πŸ‡«πŸ‡·
L
Lim J
0:2
Odds
P1 4.30 41.8% BetBoom
P2 3.09 58.2% BetBoom
Coverage: clay
Preview Statistics Broadcast Comments

About the athletes

- Country -
- Rating -
- Age -
- Height (cm) -
- Weight (kg) -
- Hand -
- Seed -
clay Coverage clay
0 H2H 0
🎯 PropickAI prediction
High confidence

Our model prediction (Glicko-2)

PropickAI model Β· comparison with the market line (no margin)

2 Lim J β€” 75%

Pure model vs market (2 Β· Lim J): model 52% Β· market 78% Ξ” βˆ’26 pp model estimates below the market

1 Β· Mansuri Ya. πŸ‡«πŸ‡·24.7%
market22%
2 Β· Lim J ✓ Pick75.3%
market78%

Model estimate: win Mansuri Ya. πŸ‡«πŸ‡· 24.7%, win Lim J 75.3%. Model favourite β€” Lim J.

Informational estimate, not a betting recommendation.

AI agent prediction

Independent AI-agent assessment from our data (model, market line, form, H2H)

2Lim J (odds1.23) Score 0:2 confidence 73% βœ“ outcome correct Β· exact score
  • Mansuri Ya
  • πŸ‡«πŸ‡· β€” Lim Dzh
  • πŸ‡«πŸ‡· (tennis)
  • Mansuri Ya
  • πŸ‡«πŸ‡·: forma PV (1)
  • Lim Dzh
  • πŸ‡«πŸ‡·: forma VPPV (2)
  • Model backs Lim Dzh
  • πŸ‡«πŸ‡·: probability 73% vs 81% on the line (odds 1.23)
  • no edge over the line (-8 pp) β€” informational only.

Analytical AI-agent assessment, not a betting recommendation.

Math-model prediction

AI match prediction Mansuri Ya. πŸ‡«πŸ‡· - Lim J July 28, 2026

Tennis math model

Based on the collected prematch data, the favourite looks like Lim J.

Line favourite market consensus: Lim J. We cross-check with Glicko and the math model below.
  • Win odds (market consensus): 1 4.30 / 2 1.19
  • Glicko: Mansuri Ya. πŸ‡«πŸ‡· 24.7% / Lim J 75.3%

For reference

Fair probability (no margin)

Probability excluding the bookmaker margin β€” for reference, not a betting recommendation.
Winner bookmaker margin 7.3%
1 21.7%
2 ✓ Pick 78.3%

Odds source: market consensus. This is the fair probability after removing the bookmaker margin from the odds β€” reference information, not a prediction or a betting recommendation.

Match center
Start 28.07.2026 09:30 UTC
Coverage clay
Form 5 matches
Match center

Mansuri Ya. πŸ‡«πŸ‡· - Lim J

V baze uchteny nedavnie matchi oboikh uchastnikov.

Form 2/4 recent games
H2H 0 head-to-head matches
Market 2 model / bookmakers
Flashscore match data source checked
Odds match data source checked
Line depth match data source checked
Present in data
Market Form Match Participants Line Overview
More needed
H2H Championat, Flashscore
Tournament Championat, Flashscore
Movement Line history
Post-match / PropickAI database
Score 0:2
Events 0
Statistics 0
PropickAI check: math model and Glicko-2

We mark in green only strong signals where the model passed our publication filter. The other rows are for audit and training.

Option Signal Prediction / actual Rating
Glicko-2: base favourite Audit tennis is audit-only for now: surface, serve/return and market are needed Data: line, form, coverage away - 75.3% fact: away hit / ROI 19.0% / Brier 0.122 / LogLoss 0.284
Glicko-2: calibrated favourite Audit tennis is audit-only for now: surface, serve/return and market are needed Data: line, form, coverage away - 53.0% fact: away hit / ROI 19.0% / Brier 0.441 / LogLoss 0.634
Market and Glicko

Tennis math model. Tennis without draws: the base signal comes from player rating, surface, form, serve/return and tournament fatigue. For live logic the set state and who is serving matter more than the overall points score.

Outcome Line Glicko Signal
Mansuri Ya. πŸ‡«πŸ‡· 22.1% 24.7%
Lim J 77.9% 75.3% market and model agree
1X2: 3 Bookies

Glicko-2 is a team-strength rating: it weighs the line, history and consistency, but is not a guarantee.

Tennis math model
P1 / P2 24.7% / 75.3% probabilities
Rating 1,374 / 1,495 Mansuri Ya. πŸ‡«πŸ‡· / Lim J
RD 255 / 204 rating uncertainty
r +/- 2RD 864-1,883 / 1,086-1,904 strength interval
HFA: 0 HFA mu: 0.000 MoV: on N: N=1 P: two_way_glicko2_expected_score

Best value: no value found

Tennis without draws: the base signal comes from player rating, surface, form, serve/return and tournament fatigue. For live logic the set state and who is serving matter more than the overall points score.

Betting snapshot
1X2
2 1.82 market consensus Β· value +37.1% Β· model 75.3%
1 3.26 market consensus Β· no value Β· model 24.7%
Total
Over 19.5 1.84 market consensus Β· line only
Under 19.5 1.84 market consensus Β· line only

Betting notes are built from the line, market and our math model: take a signal only when the model and market agree.

Bookmaker line

Match markets

bookmaker line and markets

Handicap

Outcome Baltbet Betcity Leon
1.85 54.1% 1.83 54.6%
1.78 56.2%
1.86 53.8%
1.85 54.1% 1.87 53.5%

Total

Outcome Baltbet Betcity Leon
Over 19.5 1.87 53.5% 1.90 52.6% 1.75 57.1%
Under 19.5 1.83 54.6% 1.81 55.3% 1.89 52.9%

Outcome (1X2)

Outcome Baltbet Betcity Leon
4.20 23.8% 4.30 23.3% 1.29 77.5%
1.19 84.0% 1.18 84.8% 3.09 32.4%
Match center
Mansuri Ya. πŸ‡«πŸ‡·
L W
12.07 12:00 UTC+0 WTA - Singles: Athens (Greece) - Qualifying, hard
Mansuri Ya. πŸ‡«πŸ‡· 0:2 Ito A. πŸ‡―πŸ‡΅Ito A. πŸ‡―πŸ‡΅
11.07 11:00 UTC+0 WTA - Singles: Athens (Greece) - Qualifying, hard
Mansuri Ya. πŸ‡«πŸ‡· 2:0 Tsetsou E. πŸ‡¬πŸ‡·
1 Wins
1 Losses
1.0 Sets won
1.0 Sets lost
50% Win percentage
Lim J
W L L W
22.07 13:30 UTC+0 ITF Women - Singles: W15 Nogent-sur-Marne (France), clay
Lim J 2:0 Dzhubri S. πŸ‡«πŸ‡·
01.07 10:30 UTC+0 ITF Women - Singles: W35 Amstelveen (Netherlands), clay
Lim J 0:2 Bajraliu L. πŸ‡ΈπŸ‡ͺ
14.06 10:30 UTC+0 ITF Women - Singles: W35 Nice + H (France), clay
Lim J 1:2 Suresh KSuresh K
13.06 09:00 UTC+0 ITF Women - Singles: W35 Nice + H (France), clay
Lim J 2:1 Granver A. πŸ‡¨πŸ‡­
2 Wins
2 Losses
1.3 Sets won
1.3 Sets lost
50% Win percentage