Knokke vs Heist Statistics & Analysis

Aug 30, 2026 - 13:00
3 1.41
0 1.19
xG Accuracy: 47%
Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

Tracked markets vs full-time result

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Over 2.5 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Knokke Knokke ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 0-0 3-0 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Aug 24, 2026 · 01:34 UTC Snapshot ID: dp-5293239

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Knokke win · Knokke 3–0 Heist
Prediction ✔ Correct
Decision Grade F

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: First Amateur Division
  • Fixture: Knokke vs Heist
  • Kickoff: 2026-08-30 13:00:00
  • 1X2 (model): Home 40.5% · Draw 29.4% · Away 30.1%
  • xG (showing): Knokke 1.41 — Heist 1.19 (total xG ≈ 2.6)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 54.2% · No 45.8%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.2% · No 45.8%
  • Correct score (top bin): 1-1 (12.5%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Historical Recommendation

Historical Decision: No Primary Bet

Outcome: Validated — Pre-match lean validated against the full-time result.

Risk Factors Considered Before Kickoff

  • Price movement: implied probabilities and EV move with odds.
  • Sample / data gaps: low-information leagues widen forecast bands.
  • In-play state: goals and red cards are not modelled here.
  • Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Last Updated

September 28, 2026 (UTC)

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Back to Statistics
First Amateur Division First Amateur Division — Standings
# TEAM MP W D L PTS
1 Meux 6 5 0 1 15
2 RWDM 5 5 0 0 15
3 Tubize 6 3 2 1 11
4 Rochefort 5 3 1 1 10
5 Union Saint-Gilloise II 6 2 2 2 8
6 Albert Quévy-Mons 5 2 1 2 7
7 Onhaye 6 2 0 4 6
8 Sporting Charleroi II 5 1 2 2 5
9 Standard Liège II 5 1 1 3 4
10 Habay-la-Neuve 5 1 1 3 4
11 Olympic Charleroi 5 1 1 3 4
12 Flénu 5 0 1 4 1
# TEAM MP GS GC +/- PTS
1 Meux 6 14 4 +10 15
2 Rochefort 5 12 6 +6 10
3 Albert Quévy-Mons 5 10 10 0 7
4 Tubize 6 9 8 +1 11
5 RWDM 5 8 1 +7 15
6 Onhaye 6 7 12 -5 6
7 Union Saint-Gilloise II 6 6 6 0 8
8 Standard Liège II 5 5 3 +2 4
9 Habay-la-Neuve 5 5 9 -4 4
10 Flénu 5 5 13 -8 1
11 Sporting Charleroi II 5 4 5 -1 5
12 Olympic Charleroi 5 4 12 -8 4