AI correctly predicted the Heist win.
The match finished 2–1, validating the model's directional assessment.
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 Yes ✔ Correct
- 1X2 Heist Heist ✔ Correct
- Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 2-1 ✔ Correct
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Heist | 36.1% | 52.7% | -16.6 pp | Market Higher |
| Draw | 29.6% | 24.5% | +5.2 pp | Model Higher |
| Harelbeke | 34.2% | 22.8% | +11.4 pp | Model Edge |
The closing market estimates Heist's win probability at 52.7%, compared with the model's estimate of 36.1%, a difference of 16.6 percentage points. This highlights a disagreement between the model and market consensus, without indicating which view is ultimately correct.
Model probabilities are generated from the statistical xG model using a Poisson distribution. Closing market probabilities are derived from consensus closing 1X2 odds after margin removal. Values represent implied probabilities rather than betting recommendations. Closing snapshot: PRE1.
After full time, the model's directional lean matched the result (Heist win 2–1).
Market Assessment
The market is materially more optimistic about Heist than the current fair estimate.
- Investors may be incorporating information not fully reflected in the baseline model.
- Tournament-specific context can shift market pricing.
Post Match Insights
What worked
- Expected goals projected a high-scoring match (ΣxG 2.60) — 3 goals materialised
- Both Teams To Score (Yes) matched the full-time result
- Exact score 2–1 fell within the model's highlighted bins
What failed
- Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)
Market lesson
Large model–market gaps do not automatically mean the market is right. Here the closing market priced Heist higher (52.7% vs model 36.1%, 16.6 pp), but the model's lean was validated (Heist win 2–1).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Sep 05, 2026 · 18:01 UTC Forecast generated
- Model 1X2 · Heist 36.1% · Draw 29.7% · Harelbeke 34.2%
- xG · Heist 1.32 — Harelbeke 1.28
-
Sep 05, 2026 · 17:32 UTC Opening odds snapshot PRE30
- 1X2 odds · Heist 1.74 · Draw 3.75 · Harelbeke 4.02
- Implied 1X2 · Heist 52.7% · Draw 24.5% · Harelbeke 22.8%
- Bookmaker · Pinnacle
-
Sep 05, 2026 · 18:01 UTC Closing snapshot recorded PRE1
- 1X2 odds · Heist 1.74 · Draw 3.75 · Harelbeke 4.02
- Implied 1X2 · Heist 52.7% · Draw 24.5% · Harelbeke 22.8%
- Bookmaker · Pinnacle
-
Sep 05, 2026 · 18:00 UTC Kickoff
-
FT Full-time result Heist win · 2–1
-
FT Prediction validated Directional lean matched full-time result
-
Archived Prediction review
Historical Snapshot
Frozen at kickoff — the model output as it stood before the match started.
Pre-match metrics (historical context)
- Validation: Warning
- Large market gap (17 pp)
- No strong statistical edge
- Pricing remains divergent
- Validation warning
Validation Report
Immutable SnapshotModel Performance
This prediction contributes to:
- Primary Bets ROI (180d): -100.0%
Review FAQ
- How accurate was the prediction?
- This page grades directional markets (1X2, Over/Under 2.5, BTTS) against the full-time result. The prediction grade reflects how many of those tracked markets matched reality.
- What does xG Accuracy measure?
- xG Accuracy compares the model's pre-match expected-goals profile to the actual scoreline — not whether every market hit. A strong directional review can coexist with a moderate xG accuracy score.
- Why wasn't the exact score predicted?
- Correct-score outcomes are low-probability tails even when the model reads the match profile well. We highlight top score bins for context; missing the exact line does not invalidate a directional review.
- Does this improve the AI record?
- Each finished match is logged in our validation pipeline. Aggregated hit rates and CLV studies are published separately — this page is the per-match audit trail.
Predictions are for informational purposes only. Always gamble responsibly and within your limits. Past performance does not guarantee future results.
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First Amateur Division — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | RWDM | 4 | 4 | 0 | 0 | 12 |
| 2 | Rochefort | 3 | 3 | 0 | 0 | 9 |
| 3 | Meux | 3 | 2 | 1 | 0 | 7 |
| 4 | Tubize | 4 | 2 | 1 | 1 | 7 |
| 5 | Albert Quévy-Mons | 4 | 1 | 2 | 1 | 5 |
| 6 | Union Saint-Gilloise II | 4 | 1 | 1 | 2 | 4 |
| 7 | Sporting Charleroi II | 4 | 1 | 1 | 2 | 4 |
| 8 | Olympic Charleroi | 4 | 1 | 1 | 2 | 4 |
| 9 | Standard Liège II | 3 | 1 | 0 | 2 | 3 |
| 10 | Onhaye | 3 | 1 | 0 | 2 | 3 |
| 11 | Flénu | 3 | 0 | 1 | 2 | 1 |
| 12 | Habay-la-Neuve | 3 | 0 | 0 | 3 | 0 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Rochefort | 3 | 10 | 3 | +7 | 9 |
| 2 | RWDM | 4 | 7 | 1 | +6 | 12 |
| 3 | Standard Liège II | 3 | 5 | 2 | +3 | 3 |
| 4 | Albert Quévy-Mons | 4 | 5 | 3 | +2 | 5 |
| 5 | Tubize | 4 | 5 | 6 | -1 | 7 |
| 6 | Union Saint-Gilloise II | 4 | 4 | 5 | -1 | 4 |
| 7 | Meux | 3 | 3 | 1 | +2 | 7 |
| 8 | Sporting Charleroi II | 4 | 3 | 4 | -1 | 4 |
| 9 | Flénu | 3 | 3 | 7 | -4 | 1 |
| 10 | Habay-la-Neuve | 3 | 3 | 8 | -5 | 0 |
| 11 | Olympic Charleroi | 4 | 3 | 9 | -6 | 4 |
| 12 | Onhaye | 3 | 2 | 4 | -2 | 3 |
