AI correctly predicted the Al Nasr win.
The match finished 1–2, 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 Over 2.5 Over 2.5 (3 goals) ✔ Correct
- Both Teams To Score BTTS Yes Yes ✔ Correct
- 1X2 Al Nasr Al Nasr ✔ Correct
- Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 1-2 ✔ Correct
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Dhofar | 33.8% | 23.7% | +10.1 pp | Model Edge |
| Draw | 29.6% | 30.2% | -0.5 pp | Aligned |
| Al Nasr | 36.6% | 46.2% | -9.6 pp | Market Higher |
The statistical model estimates Dhofar's win probability at 33.8%, compared with the closing market's implied probability of 23.7%, a difference of 10.1 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 (Al Nasr win 1–2).
Market Assessment
The statistical fair estimate is materially higher than the market on Dhofar.
- The model may see a slower-scoring or closer matchup than the market.
- Monitor line movement before kickoff — not a betting recommendation.
Post Match Insights
What worked
- Expected goals projected a high-scoring match (ΣxG 2.60) — 3 goals materialised
- Both Teams To Score (Yes) matched the full-time result
- Over 2.5 goals aligned with the xG profile
Market lesson
Large model–market gaps do not automatically mean the market is right. Here the closing market priced Al Nasr more conservatively (26.5% vs model 36.6%, 10.1 pp), but the model's lean was validated (Al Nasr win 1–2).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Sep 06, 2026 · 16:09 UTC Forecast generated
- Model 1X2 · Dhofar 33.8% · Draw 29.6% · Al Nasr 36.6%
- xG · Dhofar 1.27 — Al Nasr 1.33
-
Sep 06, 2026 · 15:39 UTC Opening odds snapshot PRE30
- 1X2 odds · Dhofar 3.82 · Draw 3.00 · Al Nasr 1.96
- Implied 1X2 · Dhofar 23.7% · Draw 30.2% · Al Nasr 46.2%
- Bookmaker · Pinnacle
-
Sep 06, 2026 · 16:09 UTC Closing snapshot recorded PRE1
- 1X2 odds · Dhofar 3.82 · Draw 3.00 · Al Nasr 1.96
- Implied 1X2 · Dhofar 23.7% · Draw 30.2% · Al Nasr 46.2%
- Bookmaker · Pinnacle
-
Sep 06, 2026 · 16:10 UTC Kickoff
-
FT Full-time result Al Nasr win · 1–2
-
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 (10 pp)
- Statistical edge detected
- 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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Professional League — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Al Seeb | 3 | 2 | 1 | 0 | 7 |
| 2 | Al-Nahda | 3 | 2 | 1 | 0 | 7 |
| 3 | Al Nasr | 2 | 2 | 0 | 0 | 6 |
| 4 | Al-Shabab | 3 | 2 | 0 | 1 | 6 |
| 5 | Oman Club | 3 | 2 | 0 | 1 | 6 |
| 6 | Saham | 3 | 2 | 0 | 1 | 6 |
| 7 | Sohar | 3 | 1 | 2 | 0 | 5 |
| 8 | Ibri | 3 | 1 | 1 | 1 | 4 |
| 9 | Smail | 3 | 1 | 1 | 1 | 4 |
| 10 | Bahla | 3 | 1 | 0 | 2 | 3 |
| 11 | Dhofar | 3 | 0 | 1 | 2 | 1 |
| 12 | Fanja | 3 | 0 | 1 | 2 | 1 |
| 13 | Al Musannah | 2 | 0 | 0 | 2 | 0 |
| 14 | Sur | 3 | 0 | 0 | 3 | 0 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Al-Shabab | 3 | 7 | 5 | +2 | 6 |
| 2 | Al Seeb | 3 | 6 | 2 | +4 | 7 |
| 3 | Ibri | 3 | 5 | 2 | +3 | 4 |
| 4 | Al-Nahda | 3 | 5 | 3 | +2 | 7 |
| 5 | Al Nasr | 2 | 4 | 1 | +3 | 6 |
| 6 | Bahla | 3 | 4 | 5 | -1 | 3 |
| 7 | Oman Club | 3 | 3 | 2 | +1 | 6 |
| 8 | Saham | 3 | 3 | 2 | +1 | 6 |
| 9 | Sur | 3 | 3 | 8 | -5 | 0 |
| 10 | Sohar | 3 | 1 | 0 | +1 | 5 |
| 11 | Smail | 3 | 1 | 4 | -3 | 4 |
| 12 | Dhofar | 3 | 1 | 4 | -3 | 1 |
| 13 | Al Musannah | 2 | 0 | 2 | -2 | 0 |
| 14 | Fanja | 3 | 0 | 3 | -3 | 1 |
