The model missed the final outcome (Ajman win 1–2).
The model had projected Al Nasr at 35.6%, 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 No Yes ✖ Incorrect
- 1X2 Al Nasr Ajman ✖ Incorrect
- Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 1-2 ✔ Correct
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Al Nasr | 35.6% | 48.2% | -12.6 pp | Market Higher |
| Draw | 29.6% | 25.0% | +4.7 pp | Aligned |
| Ajman | 34.7% | 26.8% | +7.9 pp | Model Higher |
The closing market estimates Al Nasr's win probability at 48.2%, compared with the model's estimate of 35.6%, a difference of 12.6 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 result was Ajman win 1–2.
Market Assessment
The market is materially more optimistic about Al Nasr 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) — 3 goals materialised
- Exact score 1–2 fell within the model's highlighted bins
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
The closing market differed from the model on Al Nasr by 12.6 percentage points (48.2% vs model 35.6%) — in this case the market view proved closer.
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Sep 06, 2026 · 13:44 UTC Forecast generated
- Model 1X2 · Al Nasr 35.6% · Draw 29.7% · Ajman 34.7%
- xG · Al Nasr 1.31 — Ajman 1.29
-
Sep 06, 2026 · 13:14 UTC Opening odds snapshot PRE30
- 1X2 odds · Al Nasr 1.97 · Draw 3.80 · Ajman 3.55
- Implied 1X2 · Al Nasr 48.2% · Draw 25.0% · Ajman 26.8%
- Bookmaker · Pinnacle
-
Sep 06, 2026 · 13:44 UTC Closing snapshot recorded PRE1
- 1X2 odds · Al Nasr 1.97 · Draw 3.80 · Ajman 3.55
- Implied 1X2 · Al Nasr 48.2% · Draw 25.0% · Ajman 26.8%
- Bookmaker · Pinnacle
-
Sep 06, 2026 · 13:45 UTC Kickoff
-
FT Full-time result Ajman win · 1–2
-
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 (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 — 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 |
