The model missed the final outcome (US Monastirienne win 2–1).
The model had projected Stade Tunisien at 36.1%, 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 (3 goals) ✖ Incorrect
- Both Teams To Score BTTS Yes Yes ✔ Correct
- 1X2 Stade Tunisien US Monastirienne ✖ Incorrect
- Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 2-1 ✔ Correct
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| US Monastirienne | 34.2% | 34.4% | -0.2 pp | Aligned |
| Draw | 29.6% | 41.6% | -12.0 pp | Market Higher |
| Stade Tunisien | 36.1% | 24.0% | +12.1 pp | Model Edge |
The statistical model estimates Stade Tunisien's win probability at 36.1%, compared with the closing market's implied probability of 24.0%, a difference of 12.1 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 result was US Monastirienne win 2–1.
Market Assessment
The statistical fair estimate is materially higher than the market on Stade Tunisien.
- 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 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)
- 1X2: model leaned Stade Tunisien; match finished US Monastirienne
Market lesson
The closing market differed from the model on Stade Tunisien by 12.1 percentage points (24.0% vs model 36.1%) — in this case the market view proved closer.
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Aug 29, 2026 · 15:32 UTC Forecast generated
- Model 1X2 · US Monastirienne 34.2% · Draw 29.7% · Stade Tunisien 36.1%
- xG · US Monastirienne 1.28 — Stade Tunisien 1.32
-
Aug 29, 2026 · 15:10 UTC Opening odds snapshot PRE30
- 1X2 odds · US Monastirienne 2.66 · Draw 2.20 · Stade Tunisien 3.82
- Implied 1X2 · US Monastirienne 34.4% · Draw 41.6% · Stade Tunisien 24.0%
- Bookmaker · Pinnacle
-
Aug 29, 2026 · 15:32 UTC Closing snapshot recorded PRE1
- 1X2 odds · US Monastirienne 2.66 · Draw 2.20 · Stade Tunisien 3.82
- Implied 1X2 · US Monastirienne 34.4% · Draw 41.6% · Stade Tunisien 24.0%
- Bookmaker · Pinnacle
-
Aug 29, 2026 · 15:30 UTC Kickoff
-
FT Full-time result US Monastirienne win · 2–1
-
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: Warning
- Large market gap (12 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 |