AI correctly predicted the US Ben Guerdane win.
The match finished 1–2, 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 US Ben Guerdane US Ben Guerdane ✔ Correct
- Correct Score Insights 1-1, 0-1, 1-2, 1-0, 0-2 1-2 ✔ Correct
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Olympique Béja | 29.7% | 35.1% | -5.5 pp | Market Higher |
| Draw | 29.4% | 34.0% | -4.6 pp | Aligned |
| US Ben Guerdane | 40.9% | 30.9% | +10.0 pp | Model Edge |
The statistical model estimates US Ben Guerdane's win probability at 40.9%, compared with the closing market's implied probability of 30.9%, a difference of 10.0 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: PRE1.
After full time, the model's directional lean matched the result (US Ben Guerdane win 1–2).
Market Assessment
The statistical fair estimate is materially higher than the market on US Ben Guerdane.
- The model may see a slower-scoring or closer matchup than the market.
- Monitor line movement before kickoff — not a betting recommendation.
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 1–2 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 US Ben Guerdane more conservatively (30.9% vs model 40.9%, 10.0 pp), but the model's lean was validated (US Ben Guerdane win 1–2).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Aug 30, 2026 · 15:29 UTC Forecast generated
- Model 1X2 · Olympique Béja 29.6% · Draw 29.4% · US Ben Guerdane 41.0%
- xG · Olympique Béja 1.18 — US Ben Guerdane 1.42
-
Aug 30, 2026 · 15:06 UTC Opening odds snapshot PRE30
- 1X2 odds · Olympique Béja 2.61 · Draw 2.70 · US Ben Guerdane 2.97
- Implied 1X2 · Olympique Béja 35.1% · Draw 34.0% · US Ben Guerdane 30.9%
- Bookmaker · Pinnacle
-
Aug 30, 2026 · 15:29 UTC Closing snapshot recorded PRE1
- 1X2 odds · Olympique Béja 2.61 · Draw 2.70 · US Ben Guerdane 2.97
- Implied 1X2 · Olympique Béja 35.1% · Draw 34.0% · US Ben Guerdane 30.9%
- Bookmaker · Pinnacle
-
Aug 30, 2026 · 15:30 UTC Kickoff
-
FT Full-time result US Ben Guerdane win · 1–2
-
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 (10 pp)
- Statistical edge detected
- Market has already priced much of the edge
- 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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Ligue 1 — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Club Africain | 3 | 3 | 0 | 0 | 9 |
| 2 | ES Tunis | 4 | 3 | 0 | 1 | 9 |
| 3 | US Ben Guerdane | 4 | 2 | 2 | 0 | 8 |
| 4 | CS Sfaxien | 4 | 2 | 2 | 0 | 8 |
| 5 | US Monastirienne | 4 | 2 | 2 | 0 | 8 |
| 6 | Progrès Sakiet Eddaïer | 4 | 2 | 2 | 0 | 8 |
| 7 | Jeunesse Sportive Omrane | 4 | 2 | 1 | 1 | 7 |
| 8 | CA Bizertin | 4 | 2 | 1 | 1 | 7 |
| 9 | Stade Tunisien | 3 | 1 | 1 | 1 | 4 |
| 10 | ES Sahel | 4 | 1 | 1 | 2 | 4 |
| 11 | AS Marsa | 4 | 1 | 1 | 2 | 4 |
| 12 | ES Zarzis | 4 | 1 | 0 | 3 | 3 |
| 13 | ES Metlaoui | 4 | 1 | 0 | 3 | 3 |
| 14 | Olympique Béja | 4 | 0 | 2 | 2 | 2 |
| 15 | ES Hammam-Sousse | 4 | 0 | 1 | 3 | 1 |
| 16 | CS Hammam-Lif | 4 | 0 | 0 | 4 | 0 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | US Ben Guerdane | 4 | 7 | 5 | +2 | 8 |
| 2 | US Monastirienne | 4 | 7 | 5 | +2 | 8 |
| 3 | ES Tunis | 4 | 7 | 6 | +1 | 9 |
| 4 | CS Sfaxien | 4 | 6 | 3 | +3 | 8 |
| 5 | Jeunesse Sportive Omrane | 4 | 5 | 4 | +1 | 7 |
| 6 | Stade Tunisien | 3 | 5 | 4 | +1 | 4 |
| 7 | ES Sahel | 4 | 5 | 6 | -1 | 4 |
| 8 | Progrès Sakiet Eddaïer | 4 | 4 | 1 | +3 | 8 |
| 9 | Club Africain | 3 | 3 | 0 | +3 | 9 |
| 10 | CA Bizertin | 4 | 3 | 3 | 0 | 7 |
| 11 | ES Zarzis | 4 | 3 | 5 | -2 | 3 |
| 12 | Olympique Béja | 4 | 3 | 5 | -2 | 2 |
| 13 | AS Marsa | 4 | 2 | 3 | -1 | 4 |
| 14 | ES Metlaoui | 4 | 2 | 4 | -2 | 3 |
| 15 | ES Hammam-Sousse | 4 | 1 | 5 | -4 | 1 |
| 16 | CS Hammam-Lif | 4 | 0 | 4 | -4 | 0 |