AI correctly predicted the Shabab Al Ahli Dubai win.
The match finished 0–1, 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 Under 2.5 (1 goals) ✔ Correct
- Both Teams To Score BTTS Yes No ✖ Incorrect
- 1X2 Shabab Al Ahli Dubai Shabab Al Ahli Dubai ✔ Correct
- Correct Score Insights 1-1, 0-1, 1-2, 1-0, 0-2 0-1 ✔ Correct
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Al-Wasl FC | 27.9% | 34.0% | -6.1 pp | Market Higher |
| Draw | 29.2% | 26.0% | +3.2 pp | Aligned |
| Shabab Al Ahli Dubai | 42.9% | 40.0% | +2.8 pp | Aligned |
The closing market estimates Al-Wasl FC's win probability at 34.0%, compared with the model's estimate of 27.9%, a difference of 6.1 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 (Shabab Al Ahli Dubai win 0–1).
Market Assessment
The market and model broadly agree on Al-Wasl FC. The remaining divergence may reflect differences in team-strength assumptions rather than a directional disagreement.
- Monitor line movement before kickoff — not a betting recommendation.
Post Match Insights
What worked
- Under 2.5 goals aligned with the xG profile
- Exact score 0–1 fell within the model's highlighted bins
What failed
- Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
Market lesson
Large model–market gaps do not automatically mean the market is right. Here the closing market priced Shabab Al Ahli Dubai higher (49.0% vs model 42.9%, 6.1 pp), but the model's lean was validated (Shabab Al Ahli Dubai win 0–1).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Aug 28, 2026 · 16:30 UTC Forecast generated
- Model 1X2 · Al-Wasl FC 27.9% · Draw 29.2% · Shabab Al Ahli Dubai 42.9%
- xG · Al-Wasl FC 1.14 — Shabab Al Ahli Dubai 1.46
-
Aug 28, 2026 · 16:03 UTC Opening odds snapshot PRE30
- 1X2 odds · Al-Wasl FC 2.80 · Draw 3.67 · Shabab Al Ahli Dubai 2.38
- Implied 1X2 · Al-Wasl FC 34.0% · Draw 26.0% · Shabab Al Ahli Dubai 40.0%
- Bookmaker · Pinnacle
-
Aug 28, 2026 · 16:30 UTC Closing snapshot recorded PRE1
- 1X2 odds · Al-Wasl FC 2.80 · Draw 3.67 · Shabab Al Ahli Dubai 2.38
- Implied 1X2 · Al-Wasl FC 34.0% · Draw 26.0% · Shabab Al Ahli Dubai 40.0%
- Bookmaker · Pinnacle
-
Aug 28, 2026 · 16:30 UTC Kickoff
-
FT Full-time result Shabab Al Ahli Dubai win · 0–1
-
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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Pro League — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Al-Jazira | 5 | 4 | 1 | 0 | 13 |
| 2 | Al Ain | 5 | 4 | 1 | 0 | 13 |
| 3 | Shabab Al Ahli Dubai | 5 | 3 | 1 | 1 | 10 |
| 4 | Al-Wasl FC | 5 | 3 | 1 | 1 | 10 |
| 5 | Ajman | 5 | 3 | 0 | 2 | 9 |
| 6 | Al Wahda FC | 5 | 3 | 0 | 2 | 9 |
| 7 | Sharjah FC | 5 | 3 | 0 | 2 | 9 |
| 8 | Dubai United | 5 | 2 | 1 | 2 | 7 |
| 9 | Al Nasr | 5 | 1 | 2 | 2 | 5 |
| 10 | Al-Ittihad Kalba | 5 | 1 | 1 | 3 | 4 |
| 11 | Khorfakkan | 5 | 1 | 1 | 3 | 4 |
| 12 | Al-Dhafra | 5 | 1 | 0 | 4 | 3 |
| 13 | Hatta SC | 5 | 1 | 0 | 4 | 3 |
| 14 | Baniyas SC | 5 | 0 | 1 | 4 | 1 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Al-Wasl FC | 5 | 15 | 6 | +9 | 10 |
| 2 | Al Ain | 5 | 12 | 5 | +7 | 13 |
| 3 | Dubai United | 5 | 12 | 13 | -1 | 7 |
| 4 | Al-Jazira | 5 | 11 | 2 | +9 | 13 |
| 5 | Ajman | 5 | 11 | 12 | -1 | 9 |
| 6 | Shabab Al Ahli Dubai | 5 | 10 | 5 | +5 | 10 |
| 7 | Sharjah FC | 5 | 10 | 7 | +3 | 9 |
| 8 | Al Wahda FC | 5 | 6 | 5 | +1 | 9 |
| 9 | Al Nasr | 5 | 6 | 7 | -1 | 5 |
| 10 | Al-Ittihad Kalba | 5 | 6 | 13 | -7 | 4 |
| 11 | Baniyas SC | 5 | 5 | 10 | -5 | 1 |
| 12 | Hatta SC | 5 | 5 | 11 | -6 | 3 |
| 13 | Khorfakkan | 5 | 5 | 12 | -7 | 4 |
| 14 | Al-Dhafra | 5 | 3 | 9 | -6 | 3 |
