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ITF Women - Singles: W50 Knokke-Heist (Belgium), clay
ITF Women - Singles: W50 Knokke-Heist (Belgium), clay
31.07.2026 06:00 UTC Match prediction

Lim J - Pace F

Tennis ITF Women - Singles: W50 Knokke-Heist (Belgium), clay
ITF Women - Singles: W50 Knokke-Heist (Belgium), clay clay 31.07.2026 06:00 UTC Finished
31.07.2026 06:00 UTC Finished
L
Lim J
W W
P
Pace F
W
2:0
Odds
P1 1.78 52.7% BetBoom
P2 1.98 47.3% 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

Our model prediction (Glicko-2)

1 Lim J — 53%

Pure model vs market (1 · Lim J): model 57% · market 53% Δ +4 pp model estimates above the market

1 · Lim J53.1%
2 · Pace F46.9%

Model estimate: win Lim J 53.1%, win Pace F 46.9%. Model favourite — Lim J.

Informational estimate, not a betting recommendation.

AI agent prediction

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

1Lim J (odds1.70) Score 2:1 confidence 55% ✓ outcome correct
  • • Lim Dzh
  • • 🇫🇷 — Pace F
  • • 🇮🇹 (tennis)
  • • Lim Dzh
  • • 🇫🇷: forma VVVPP (3-2)
  • • Pace F
  • • 🇮🇹: forma VPPPP (1-4)
  • • Model backs Lim Dzh
  • • 🇫🇷: probability 55% vs 59% on the line (odds 1.70)
  • • no edge over the line (-4 pp) — informational only.

Analytical AI-agent assessment, not a betting recommendation.

Math-model prediction

AI match prediction Lim J - Pace F July 31, 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 1.78 / 2 1.98
  • Glicko: Lim J 53.1% / Pace F 46.9%

For reference

Fair probability (no margin)

Probability excluding the bookmaker margin — for reference, not a betting recommendation.
Winner bookmaker margin 6.7%
1 52.7%
2 47.3%

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

Match center
Start 31.07.2026 06:00 UTC
Market 1 52.7% @ 1.78 / 2 47.3% @ 1.98
Coverage clay
Form 6 matches
Match center

Lim J - Pace F

V baze uchteny nedavnie matchi oboikh uchastnikov.

Form 2/1 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 2:0
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 home - 53.1% fact: home hit / ROI 78.0% / Brier 0.440 / LogLoss 0.633
Glicko-2: calibrated favourite Audit tennis is audit-only for now: surface, serve/return and market are needed Data: line, form, coverage home - 50.4% fact: home hit / ROI 78.0% / Brier 0.493 / LogLoss 0.686
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
Lim J 52.7% 53.1% market and model agree
Pace F 47.3% 46.9%
1X2: 2 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 53.1% / 46.9% probabilities
Rating 1,641 / 1,523 Lim J / Pace F
RD 174 / 176 rating uncertainty
r +/- 2RD 1,292-1,989 / 1,170-1,875 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 1.96 market consensus · no value · model 46.9%
1 1.76 market consensus · no value · model 53.1%
Handicap
2 +0.5 1.88 market consensus · line only
1 -0.5 1.82 market consensus · line only
Total
Over 20.5 1.80 market consensus · line only
Over 21.5 1.90 market consensus · 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
1.82 55.0% —
1.85 54.1% 1.88 53.2%
1.88 53.2% —
1.85 54.1% 1.82 55.0%

Total

Outcome Baltbet Betcity
Over 20.5 1.80 55.6% —
Over 21.5 1.85 54.1% 1.94 51.6%
Under 20.5 1.90 52.6% —
Under 21.5 1.85 54.1% 1.77 56.5%

Outcome (1X2)

Outcome Baltbet Betcity
1.78 56.2% 1.73 57.8%
1.93 51.8% 1.98 50.5%
Match center
Lim J
W W
30.07 06:00 UTC ITF Women - Singles: W50 Knokke-Heist (Belgium), clay
Lim J 2:1 Se G. 🇧🇷
28.07 09:30 UTC ITF Women - Singles: W50 Knokke-Heist (Belgium), clay
Lim J 2:0 Mansuri Ya. 🇫🇷
2 Wins
0 Losses
2.0 Sets won
0.5 Sets lost
100% Win percentage
Pace F
W
29.07 08:00 UTC ITF Women - Singles: W50 Knokke-Heist (Belgium), clay
Pace F 2:0 Peri T. 🇮🇹
1 Wins
0 Losses
2.0 Sets won
0.0 Sets lost
100% Win percentage
Match center

Full head-to-head historyLim J - Pace F

Lim J
0 matches total
Pace F
Biggest win — largest score margin
Highest-scoring match — most goals in a game
Highest-scoring draw — draw with the most goals

Match history