AI correctly predicted the Widad Témara 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 No Yes ✖ Incorrect
- 1X2 Widad Témara Widad Témara ✔ Correct
- Correct Score Insights 1-0, 0-0, 1-1, 0-1, 2-0 2-1 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Widad Témara | 40.0% | 41.6% | -1.6 pp | Aligned |
| Draw | 35.1% | 39.4% | -4.2 pp | Aligned |
| Raja Beni Mellal | 24.9% | 19.1% | +5.8 pp | Model Higher |
The statistical model estimates Raja Beni Mellal's win probability at 24.9%, compared with the closing market's implied probability of 19.1%, a difference of 5.8 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 (Widad Témara win 2–1).
Market Assessment
The fair estimate shows a modest edge over current market pricing on Raja Beni Mellal.
- Monitor line movement before kickoff — not a betting recommendation.
Post Match Insights
What failed
- Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
- 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 Widad Témara more conservatively (34.2% vs model 40.0%, 5.8 pp), but the model's lean was validated (Widad Témara win 2–1).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Jun 20, 2026 · 20:41 UTC Forecast generated
- Model 1X2 · Widad Témara 40.0% · Draw 35.1% · Raja Beni Mellal 24.9%
- xG · Widad Témara 1.07 — Raja Beni Mellal 0.83
-
Jun 20, 2026 · 14:29 UTC Opening odds snapshot PRE30
- 1X2 odds · Widad Témara 2.14 · Draw 2.26 · Raja Beni Mellal 4.66
- Implied 1X2 · Widad Témara 41.6% · Draw 39.4% · Raja Beni Mellal 19.1%
- Bookmaker · Pinnacle
-
Jun 20, 2026 · 14:59 UTC Closing snapshot recorded PRE1
- 1X2 odds · Widad Témara 2.14 · Draw 2.26 · Raja Beni Mellal 4.66
- Implied 1X2 · Widad Témara 41.6% · Draw 39.4% · Raja Beni Mellal 19.1%
- Bookmaker · Pinnacle
-
Jun 20, 2026 · 15:00 UTC Kickoff
-
FT Full-time result Widad Témara 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: 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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Botola 2 — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Moghreb Tetouan | 30 | 14 | 11 | 5 | 53 |
| 2 | Widad Témara | 30 | 13 | 14 | 3 | 53 |
| 3 | Amal Tiznit | 30 | 10 | 16 | 4 | 46 |
| 4 | El Massira | 30 | 11 | 11 | 8 | 44 |
| 5 | Chabab Atl. Khenifra | 30 | 11 | 10 | 9 | 43 |
| 6 | Riadi Salmi | 30 | 10 | 12 | 8 | 42 |
| 7 | Stade Marocain | 30 | 11 | 8 | 11 | 41 |
| 8 | Wydad Fès | 30 | 9 | 11 | 10 | 38 |
| 9 | Mouloudia Oujda | 30 | 8 | 13 | 9 | 37 |
| 10 | Chabab Ben Guerir | 30 | 8 | 13 | 9 | 37 |
| 11 | USM Oujda | 30 | 9 | 10 | 11 | 37 |
| 12 | Chabab Mohammédia | 30 | 9 | 9 | 12 | 36 |
| 13 | KAC Kenitra | 30 | 8 | 12 | 10 | 36 |
| 14 | Union Sportive Boujaad | 30 | 7 | 14 | 9 | 35 |
| 15 | Raja Beni Mellal | 30 | 7 | 11 | 12 | 32 |
| 16 | Racing de Casablanca | 30 | 3 | 9 | 18 | 18 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Riadi Salmi | 30 | 37 | 35 | +2 | 42 |
| 2 | Widad Témara | 30 | 36 | 26 | +10 | 53 |
| 3 | Amal Tiznit | 30 | 36 | 26 | +10 | 46 |
| 4 | KAC Kenitra | 30 | 35 | 36 | -1 | 36 |
| 5 | Mouloudia Oujda | 30 | 35 | 38 | -3 | 37 |
| 6 | Wydad Fès | 30 | 34 | 30 | +4 | 38 |
| 7 | Moghreb Tetouan | 30 | 33 | 22 | +11 | 53 |
| 8 | El Massira | 30 | 29 | 21 | +8 | 44 |
| 9 | USM Oujda | 30 | 29 | 30 | -1 | 37 |
| 10 | Chabab Atl. Khenifra | 30 | 26 | 24 | +2 | 43 |
| 11 | Union Sportive Boujaad | 30 | 25 | 22 | +3 | 35 |
| 12 | Chabab Ben Guerir | 30 | 25 | 28 | -3 | 37 |
| 13 | Raja Beni Mellal | 30 | 25 | 32 | -7 | 32 |
| 14 | Chabab Mohammédia | 30 | 25 | 37 | -12 | 36 |
| 15 | Stade Marocain | 30 | 23 | 24 | -1 | 41 |
| 16 | Racing de Casablanca | 30 | 21 | 43 | -22 | 18 |