AI correctly predicted the Al Najma win.
The match finished 2–1, 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 (3 goals) ✖ Incorrect
- Both Teams To Score BTTS Yes Yes ✔ Correct
- 1X2 Al Najma Al Najma ✔ Correct
- Correct Score Insights 1-1, 1-0, 2-1, 0-1, 2-0 2-1 ✔ Correct
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Al Najma | 43.4% | 58.7% | -15.3 pp | Market Higher |
| Draw | 29.1% | 23.4% | +5.7 pp | Model Higher |
| Al Jandal | 27.5% | 17.9% | +9.6 pp | Model Higher |
The closing market estimates Al Najma's win probability at 58.7%, compared with the model's estimate of 43.4%, a difference of 15.3 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 Najma win 2–1).
Market Assessment
The market is materially more optimistic about Al Najma 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
- Both Teams To Score (Yes) matched the full-time result
- Exact score 2–1 fell within the model's highlighted bins
What failed
- Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)
Market lesson
Large model–market gaps do not automatically mean the market is right. Here the closing market priced Al Najma higher (58.7% vs model 43.4%, 15.3 pp), but the model's lean was validated (Al Najma win 2–1).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Aug 22, 2026 · 16:14 UTC Forecast generated
- Model 1X2 · Al Najma 43.3% · Draw 29.2% · Al Jandal 27.5%
- xG · Al Najma 1.47 — Al Jandal 1.13
-
Aug 22, 2026 · 15:44 UTC Opening odds snapshot PRE30
- 1X2 odds · Al Najma 1.58 · Draw 3.96 · Al Jandal 5.17
- Implied 1X2 · Al Najma 58.7% · Draw 23.4% · Al Jandal 17.9%
- Bookmaker · Pinnacle
-
Aug 22, 2026 · 16:14 UTC Closing snapshot recorded PRE1
- 1X2 odds · Al Najma 1.58 · Draw 3.96 · Al Jandal 5.17
- Implied 1X2 · Al Najma 58.7% · Draw 23.4% · Al Jandal 17.9%
- Bookmaker · Pinnacle
-
Aug 22, 2026 · 16:15 UTC Kickoff
-
FT Full-time result Al Najma win · 2–1
-
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 Ula | 5 | 5 | 0 | 0 | 15 |
| 2 | Al Zulfi | 6 | 2 | 4 | 0 | 10 |
| 3 | Al Taee | 6 | 3 | 1 | 2 | 10 |
| 4 | Al Anwar | 6 | 2 | 3 | 1 | 9 |
| 5 | Damac | 6 | 2 | 3 | 1 | 9 |
| 6 | Al Jabalain | 6 | 2 | 3 | 1 | 9 |
| 7 | Al Wehda Club | 6 | 1 | 5 | 0 | 8 |
| 8 | Al-Adalah | 6 | 2 | 2 | 2 | 8 |
| 9 | Jeddah Club | 6 | 2 | 2 | 2 | 8 |
| 10 | Al Saqer | 6 | 1 | 4 | 1 | 7 |
| 11 | Al Najma | 6 | 1 | 4 | 1 | 7 |
| 12 | Al Orubah | 6 | 1 | 4 | 1 | 7 |
| 13 | Al-Raed | 6 | 2 | 1 | 3 | 7 |
| 14 | Al Akhdoud | 5 | 1 | 3 | 1 | 6 |
| 15 | Hajer | 6 | 1 | 3 | 2 | 6 |
| 16 | Al Jandal | 6 | 1 | 2 | 3 | 5 |
| 17 | Al Bukayriyah | 6 | 0 | 2 | 4 | 2 |
| 18 | Al Jeel | 6 | 0 | 2 | 4 | 2 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Al Ula | 5 | 10 | 1 | +9 | 15 |
| 2 | Al Wehda Club | 6 | 9 | 7 | +2 | 8 |
| 3 | Al Taee | 6 | 9 | 9 | 0 | 10 |
| 4 | Al-Adalah | 6 | 9 | 9 | 0 | 8 |
| 5 | Al Jandal | 6 | 9 | 9 | 0 | 5 |
| 6 | Al Zulfi | 6 | 7 | 1 | +6 | 10 |
| 7 | Damac | 6 | 7 | 6 | +1 | 9 |
| 8 | Al Najma | 6 | 7 | 7 | 0 | 7 |
| 9 | Al Akhdoud | 5 | 7 | 7 | 0 | 6 |
| 10 | Al-Raed | 6 | 7 | 10 | -3 | 7 |
| 11 | Jeddah Club | 6 | 6 | 7 | -1 | 8 |
| 12 | Al Anwar | 6 | 5 | 3 | +2 | 9 |
| 13 | Al Saqer | 6 | 4 | 3 | +1 | 7 |
| 14 | Al Jabalain | 6 | 4 | 4 | 0 | 9 |
| 15 | Al Orubah | 6 | 4 | 4 | 0 | 7 |
| 16 | Hajer | 6 | 4 | 7 | -3 | 6 |
| 17 | Al Bukayriyah | 6 | 4 | 11 | -7 | 2 |
| 18 | Al Jeel | 6 | 0 | 7 | -7 | 2 |
