The model missed the final outcome (Bourg-en-bresse 01 win 3–2).
The model had projected Villefranche at 35.6%, but the full-time result went the other way.
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 (5 goals) ✖ Incorrect
- Both Teams To Score BTTS Yes Yes ✔ Correct
- 1X2 Villefranche Bourg-en-bresse 01 ✖ Incorrect
- Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 3-2 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Bourg-en-bresse 01 | 34.7% | 40.2% | -5.5 pp | Market Higher |
| Draw | 29.6% | 30.1% | -0.4 pp | Aligned |
| Villefranche | 35.6% | 29.7% | +5.9 pp | Model Higher |
The statistical model estimates Villefranche's win probability at 35.6%, compared with the closing market's implied probability of 29.7%, a difference of 5.9 percentage points. This highlights a substantial disagreement between the model's assessment and the market consensus, rather than 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: PRE5.
After full time, the result was Bourg-en-bresse 01 win 3–2.
Market Assessment
The fair estimate shows a modest edge over current market pricing on Villefranche.
- Monitor line movement before kickoff — not a betting recommendation.
Post Match Insights
What worked
- Expected goals projected a high-scoring match (ΣxG 2.60) — 5 goals materialised
- Both Teams To Score (Yes) matched the full-time result
What failed
- Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (5 goals)
- 1X2: model leaned Villefranche; match finished Bourg-en-bresse 01
Market lesson
The closing market differed from the model on Villefranche by 5.9 percentage points (29.7% vs model 35.6%) — in this case the market view proved closer.
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Aug 07, 2026 · 18:43 UTC Forecast generated
- Model 1X2 · Bourg-en-bresse 01 34.7% · Draw 29.7% · Villefranche 35.6%
- xG · Bourg-en-bresse 01 1.29 — Villefranche 1.31
-
Aug 07, 2026 · 18:16 UTC Opening odds snapshot PRE30
- 1X2 odds · Bourg-en-bresse 01 2.37 · Draw 3.17 · Villefranche 3.21
- Implied 1X2 · Bourg-en-bresse 01 40.2% · Draw 30.1% · Villefranche 29.7%
- Bookmaker · Pinnacle
-
Aug 07, 2026 · 18:43 UTC Closing snapshot recorded PRE5
- 1X2 odds · Bourg-en-bresse 01 2.37 · Draw 3.17 · Villefranche 3.21
- Implied 1X2 · Bourg-en-bresse 01 40.2% · Draw 30.1% · Villefranche 29.7%
- Bookmaker · Pinnacle
-
Aug 07, 2026 · 18:45 UTC Kickoff
-
FT Full-time result Bourg-en-bresse 01 win · 3–2
-
FT Prediction missed 1X2 lean did not match 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: Pass
- No strong statistical edge
- Direction agrees with model lean
- Validation passed
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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National 1 — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Rouen | 8 | 5 | 2 | 1 | 17 |
| 2 | Caen | 8 | 5 | 0 | 3 | 15 |
| 3 | La Roche VF | 7 | 4 | 3 | 0 | 15 |
| 4 | Concarneau | 7 | 3 | 3 | 1 | 12 |
| 5 | Thionville Lusitanos | 7 | 3 | 3 | 1 | 12 |
| 6 | Amiens | 7 | 3 | 2 | 2 | 11 |
| 7 | Cannes | 7 | 2 | 5 | 0 | 11 |
| 8 | Versailles | 7 | 3 | 1 | 3 | 10 |
| 9 | Le Puy Foot | 7 | 3 | 1 | 3 | 10 |
| 10 | Bastia | 7 | 3 | 1 | 3 | 10 |
| 11 | Gobelins | 7 | 2 | 3 | 2 | 9 |
| 12 | Quevilly | 7 | 2 | 3 | 2 | 9 |
| 13 | Fleury 91 | 7 | 2 | 3 | 2 | 9 |
| 14 | Orleans | 7 | 2 | 1 | 4 | 7 |
| 15 | Valenciennes | 7 | 1 | 2 | 4 | 5 |
| 16 | Aubagne | 7 | 1 | 1 | 5 | 4 |
| 17 | Bourg-en-bresse 01 | 7 | 1 | 1 | 5 | 4 |
| 18 | Villefranche | 7 | 1 | 1 | 5 | 4 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Rouen | 8 | 15 | 5 | +10 | 17 |
| 2 | Caen | 8 | 15 | 9 | +6 | 15 |
| 3 | Thionville Lusitanos | 7 | 13 | 11 | +2 | 12 |
| 4 | Fleury 91 | 7 | 11 | 8 | +3 | 9 |
| 5 | La Roche VF | 7 | 10 | 6 | +4 | 15 |
| 6 | Versailles | 7 | 10 | 11 | -1 | 10 |
| 7 | Concarneau | 7 | 9 | 6 | +3 | 12 |
| 8 | Le Puy Foot | 7 | 9 | 7 | +2 | 10 |
| 9 | Amiens | 7 | 8 | 2 | +6 | 11 |
| 10 | Cannes | 7 | 8 | 3 | +5 | 11 |
| 11 | Valenciennes | 7 | 7 | 12 | -5 | 5 |
| 12 | Quevilly | 7 | 6 | 8 | -2 | 9 |
| 13 | Bastia | 7 | 6 | 9 | -3 | 10 |
| 14 | Orleans | 7 | 6 | 10 | -4 | 7 |
| 15 | Villefranche | 7 | 6 | 17 | -11 | 4 |
| 16 | Gobelins | 7 | 5 | 7 | -2 | 9 |
| 17 | Bourg-en-bresse 01 | 7 | 4 | 12 | -8 | 4 |
| 18 | Aubagne | 7 | 3 | 8 | -5 | 4 |
