AI correctly predicted the Al Wahda U23 win.
The match finished 3–2, 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 (5 goals) ✖ Incorrect
- Both Teams To Score BTTS No Yes ✖ Incorrect
- 1X2 Al Wahda U23 Al Wahda U23 ✔ Correct
- Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 3-2 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Al Wahda U23 | 36.1% | 49.6% | -13.4 pp | Market Higher |
| Draw | 29.6% | 25.8% | +3.9 pp | Aligned |
| Al Dhafra U23 | 34.2% | 24.6% | +9.6 pp | Model Higher |
The closing market estimates Al Wahda U23's win probability at 49.6%, compared with the model's estimate of 36.1%, a difference of 13.4 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 (Al Wahda U23 win 3–2).
Market Assessment
The market is materially more optimistic about Al Wahda U23 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
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 (5 goals)
Market lesson
Large model–market gaps do not automatically mean the market is right. Here the closing market priced Al Wahda U23 higher (49.5% vs model 36.1%, 13.4 pp), but the model's lean was validated (Al Wahda U23 win 3–2).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Sep 07, 2026 · 13:49 UTC Forecast generated
- Model 1X2 · Al Wahda U23 36.1% · Draw 29.7% · Al Dhafra U23 34.2%
- xG · Al Wahda U23 1.32 — Al Dhafra U23 1.28
-
Sep 07, 2026 · 13:19 UTC Opening odds snapshot PRE30
- 1X2 odds · Al Wahda U23 1.78 · Draw 3.42 · Al Dhafra U23 3.58
- Implied 1X2 · Al Wahda U23 49.6% · Draw 25.8% · Al Dhafra U23 24.6%
- Bookmaker · Pinnacle
-
Sep 07, 2026 · 13:49 UTC Closing snapshot recorded PRE1
- 1X2 odds · Al Wahda U23 1.78 · Draw 3.42 · Al Dhafra U23 3.58
- Implied 1X2 · Al Wahda U23 49.6% · Draw 25.8% · Al Dhafra U23 24.6%
- Bookmaker · Pinnacle
-
Sep 07, 2026 · 13:50 UTC Kickoff
-
FT Full-time result Al Wahda U23 win · 3–2
-
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 (13 pp)
- No strong statistical edge
- 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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Pro League U23 — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Al Ain U23 | 5 | 5 | 0 | 0 | 15 |
| 2 | Ajman U23 | 5 | 4 | 1 | 0 | 13 |
| 3 | Al Sharjah U23 | 4 | 3 | 1 | 0 | 10 |
| 4 | Shabab Al-Ahli Dubai U23 | 5 | 3 | 1 | 1 | 10 |
| 5 | Al Wahda U23 | 4 | 3 | 0 | 1 | 9 |
| 6 | Ittihad Kalba U23 | 5 | 2 | 1 | 2 | 7 |
| 7 | Al Jazira U23 | 5 | 1 | 3 | 1 | 6 |
| 8 | United FC U23 | 5 | 2 | 0 | 3 | 6 |
| 9 | Al Wasl U23 | 5 | 1 | 2 | 2 | 5 |
| 10 | Hatta U23 | 5 | 1 | 1 | 3 | 4 |
| 11 | Al Dhafra U23 | 5 | 1 | 1 | 3 | 4 |
| 12 | Khorfakkan U23 | 5 | 1 | 1 | 3 | 4 |
| 13 | Al Nasr U23 | 5 | 1 | 0 | 4 | 3 |
| 14 | Bani Yas U23 | 5 | 0 | 0 | 5 | 0 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Al Ain U23 | 5 | 13 | 2 | +11 | 15 |
| 2 | Al Wahda U23 | 4 | 9 | 6 | +3 | 9 |
| 3 | Shabab Al-Ahli Dubai U23 | 5 | 9 | 7 | +2 | 10 |
| 4 | Al Dhafra U23 | 5 | 9 | 14 | -5 | 4 |
| 5 | Al Sharjah U23 | 4 | 8 | 1 | +7 | 10 |
| 6 | Ittihad Kalba U23 | 5 | 8 | 8 | 0 | 7 |
| 7 | Hatta U23 | 5 | 8 | 9 | -1 | 4 |
| 8 | Al Nasr U23 | 5 | 8 | 13 | -5 | 3 |
| 9 | United FC U23 | 5 | 7 | 9 | -2 | 6 |
| 10 | Ajman U23 | 5 | 6 | 2 | +4 | 13 |
| 11 | Al Jazira U23 | 5 | 6 | 6 | 0 | 6 |
| 12 | Al Wasl U23 | 5 | 6 | 7 | -1 | 5 |
| 13 | Bani Yas U23 | 5 | 6 | 14 | -8 | 0 |
| 14 | Khorfakkan U23 | 5 | 3 | 8 | -5 | 4 |
