AI correctly predicted the Al Taee 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 Taee Al Taee ✔ Correct
- Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 2-1 ✔ Correct
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Al Taee | 37.5% | 51.5% | -14.0 pp | Market Higher |
| Draw | 29.6% | 25.9% | +3.7 pp | Aligned |
| Al Jandal | 32.9% | 22.5% | +10.3 pp | Model Edge |
The closing market estimates Al Taee's win probability at 51.5%, compared with the model's estimate of 37.5%, a difference of 14.0 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 Taee win 2–1).
Market Assessment
The market is materially more optimistic about Al Taee 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 Taee higher (51.5% vs model 37.5%, 14.0 pp), but the model's lean was validated (Al Taee win 2–1).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Aug 31, 2026 · 17:39 UTC Forecast generated
- Model 1X2 · Al Taee 37.6% · Draw 29.6% · Al Jandal 32.9%
- xG · Al Taee 1.35 — Al Jandal 1.25
-
Aug 31, 2026 · 17:09 UTC Opening odds snapshot PRE30
- 1X2 odds · Al Taee 1.80 · Draw 3.58 · Al Jandal 4.12
- Implied 1X2 · Al Taee 51.5% · Draw 25.9% · Al Jandal 22.5%
- Bookmaker · Pinnacle
-
Aug 31, 2026 · 17:39 UTC Closing snapshot recorded PRE1
- 1X2 odds · Al Taee 1.80 · Draw 3.58 · Al Jandal 4.12
- Implied 1X2 · Al Taee 51.5% · Draw 25.9% · Al Jandal 22.5%
- Bookmaker · Pinnacle
-
Aug 31, 2026 · 17:40 UTC Kickoff
-
FT Full-time result Al Taee 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 (14 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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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 |
