AI correctly predicted the Dibba Al-Fujairah win.
The match finished 4–1, 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 (5 goals) ✖ Incorrect
- Both Teams To Score BTTS Yes Yes ✔ Correct
- 1X2 Dibba Al-Fujairah Dibba Al-Fujairah ✔ Correct
- Correct Score Insights 1-1, 1-0, 2-1, 0-1, 2-0 4-1 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Dibba Al-Fujairah | 43.4% | 58.6% | -15.2 pp | Market Higher |
| Draw | 29.1% | 23.0% | +6.2 pp | Model Higher |
| Ittifaq | 27.5% | 18.4% | +9.1 pp | Model Higher |
The closing market estimates Dibba Al-Fujairah's win probability at 58.6%, compared with the model's estimate of 43.4%, a difference of 15.2 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 (Dibba Al-Fujairah win 4–1).
Market Assessment
The market is materially more optimistic about Dibba Al-Fujairah 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) — 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)
- Exact score: outside the model's top score bins
Market lesson
Large model–market gaps do not automatically mean the market is right. Here the closing market priced Dibba Al-Fujairah higher (58.6% vs model 43.4%, 15.2 pp), but the model's lean was validated (Dibba Al-Fujairah win 4–1).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Sep 18, 2026 · 14:39 UTC Forecast generated
- Model 1X2 · Dibba Al-Fujairah 43.3% · Draw 29.2% · Ittifaq 27.5%
- xG · Dibba Al-Fujairah 1.47 — Ittifaq 1.13
-
Sep 18, 2026 · 14:09 UTC Opening odds snapshot PRE30
- 1X2 odds · Dibba Al-Fujairah 1.54 · Draw 3.93 · Ittifaq 4.89
- Implied 1X2 · Dibba Al-Fujairah 58.6% · Draw 23.0% · Ittifaq 18.4%
- Bookmaker · Pinnacle
-
Sep 18, 2026 · 14:39 UTC Closing snapshot recorded PRE1
- 1X2 odds · Dibba Al-Fujairah 1.54 · Draw 3.93 · Ittifaq 4.89
- Implied 1X2 · Dibba Al-Fujairah 58.6% · Draw 23.0% · Ittifaq 18.4%
- Bookmaker · Pinnacle
-
Sep 18, 2026 · 14:40 UTC Kickoff
-
FT Full-time result Dibba Al-Fujairah win · 4–1
-
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 (15 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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Division 1 — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Al Arabi | 5 | 4 | 1 | 0 | 13 |
| 2 | Al Thaid | 4 | 3 | 1 | 0 | 10 |
| 3 | Dibba Al-Fujairah | 4 | 3 | 0 | 1 | 9 |
| 4 | Forte Virtus | 4 | 3 | 0 | 1 | 9 |
| 5 | Al Hamriyah | 5 | 3 | 0 | 2 | 9 |
| 6 | Al Bataeh | 5 | 2 | 1 | 2 | 7 |
| 7 | Dibba Al Hisn | 4 | 2 | 0 | 2 | 6 |
| 8 | Al Fujairah SC | 5 | 2 | 0 | 3 | 6 |
| 9 | Gulf United | 4 | 2 | 0 | 2 | 6 |
| 10 | Emirates Club | 5 | 2 | 0 | 3 | 6 |
| 11 | Al Urooba | 5 | 1 | 3 | 1 | 6 |
| 12 | Palm City | 5 | 2 | 0 | 3 | 6 |
| 13 | City | 5 | 1 | 1 | 3 | 4 |
| 14 | Al Jazira Al Hamra | 5 | 0 | 2 | 3 | 2 |
| 15 | Ittifaq | 5 | 0 | 1 | 4 | 1 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Al Arabi | 5 | 15 | 7 | +8 | 13 |
| 2 | Al Thaid | 4 | 11 | 4 | +7 | 10 |
| 3 | Dibba Al-Fujairah | 4 | 11 | 7 | +4 | 9 |
| 4 | Palm City | 5 | 10 | 14 | -4 | 6 |
| 5 | Al Fujairah SC | 5 | 9 | 8 | +1 | 6 |
| 6 | Dibba Al Hisn | 4 | 8 | 5 | +3 | 6 |
| 7 | Gulf United | 4 | 8 | 7 | +1 | 6 |
| 8 | City | 5 | 8 | 13 | -5 | 4 |
| 9 | Emirates Club | 5 | 7 | 6 | +1 | 6 |
| 10 | Al Hamriyah | 5 | 7 | 7 | 0 | 9 |
| 11 | Forte Virtus | 4 | 6 | 4 | +2 | 9 |
| 12 | Al Urooba | 5 | 6 | 6 | 0 | 6 |
| 13 | Al Bataeh | 5 | 4 | 5 | -1 | 7 |
| 14 | Ittifaq | 5 | 2 | 9 | -7 | 1 |
| 15 | Al Jazira Al Hamra | 5 | 2 | 12 | -10 | 2 |
