AI correctly predicted the Al-Ahli Jeddah win.
The match finished 0–1, 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 Under 2.5 (1 goals) ✔ Correct
- Both Teams To Score BTTS No No ✔ Correct
- 1X2 Al-Ahli Jeddah Al-Ahli Jeddah ✔ Correct
- Correct Score Insights 0-0, 0-1, 1-0, 1-1, 0-2 0-1 ✔ Correct
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Al Diriyah | 22.2% | 18.9% | +3.3 pp | Aligned |
| Draw | 32.6% | 21.1% | +11.5 pp | Model Edge |
| Al-Ahli Jeddah | 45.2% | 60.0% | -14.8 pp | Market Higher |
The closing market estimates Al-Ahli Jeddah's win probability at 60.0%, compared with the model's estimate of 45.2%, a difference of 14.8 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-Ahli Jeddah win 0–1).
Market Assessment
The market is materially more optimistic about Al-Ahli Jeddah 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
- Low-scoring profile materialised (ΣxG 1.64, 1 goals)
- Both Teams To Score (No) matched the full-time result
- Under 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-Ahli Jeddah higher (60.0% vs model 45.2%, 14.8 pp), but the model's lean was validated (Al-Ahli Jeddah win 0–1).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Aug 13, 2026 · 19:11 UTC Forecast generated
- Model 1X2 · Al Diriyah 22.2% · Draw 32.5% · Al-Ahli Jeddah 45.2%
- xG · Al Diriyah 0.68 — Al-Ahli Jeddah 0.96
-
Aug 13, 2026 · 17:29 UTC Opening odds snapshot PRE30
- 1X2 odds · Al Diriyah 5.01 · Draw 4.50 · Al-Ahli Jeddah 1.58
- Implied 1X2 · Al Diriyah 18.9% · Draw 21.1% · Al-Ahli Jeddah 60.0%
- Bookmaker · Pinnacle
-
Aug 13, 2026 · 17:59 UTC Closing snapshot recorded PRE1
- 1X2 odds · Al Diriyah 5.01 · Draw 4.50 · Al-Ahli Jeddah 1.58
- Implied 1X2 · Al Diriyah 18.9% · Draw 21.1% · Al-Ahli Jeddah 60.0%
- Bookmaker · Pinnacle
-
Aug 13, 2026 · 18:00 UTC Kickoff
-
FT Full-time result Al-Ahli Jeddah win · 0–1
-
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
- 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-Hilal Saudi FC | 7 | 6 | 0 | 1 | 18 |
| 2 | Al-Ittihad FC | 7 | 5 | 2 | 0 | 17 |
| 3 | Al-Nassr | 7 | 5 | 1 | 1 | 16 |
| 4 | Al-Qadisiyah FC | 7 | 5 | 1 | 1 | 16 |
| 5 | NEOM | 7 | 5 | 0 | 2 | 15 |
| 6 | Al-Ahli Jeddah | 7 | 4 | 0 | 3 | 12 |
| 7 | Al Kholood | 7 | 3 | 3 | 1 | 12 |
| 8 | Al Diriyah | 7 | 3 | 2 | 2 | 11 |
| 9 | Al-Ettifaq | 7 | 3 | 2 | 2 | 11 |
| 10 | Al-Hazm | 7 | 2 | 2 | 3 | 8 |
| 11 | Al Riyadh | 7 | 2 | 2 | 3 | 8 |
| 12 | Al-Fayha | 7 | 1 | 3 | 3 | 6 |
| 13 | Al Khaleej Saihat | 7 | 0 | 5 | 2 | 5 |
| 14 | Al Shabab | 7 | 0 | 4 | 3 | 4 |
| 15 | Al-Fateh | 7 | 0 | 3 | 4 | 3 |
| 16 | Al-Faisaly FC | 7 | 0 | 3 | 4 | 3 |
| 17 | Al Taawon | 7 | 0 | 3 | 4 | 3 |
| 18 | Abha | 7 | 0 | 2 | 5 | 2 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Al-Hilal Saudi FC | 7 | 23 | 5 | +18 | 18 |
| 2 | Al-Nassr | 7 | 16 | 7 | +9 | 16 |
| 3 | Al-Qadisiyah FC | 7 | 16 | 8 | +8 | 16 |
| 4 | Al-Ahli Jeddah | 7 | 16 | 10 | +6 | 12 |
| 5 | NEOM | 7 | 13 | 6 | +7 | 15 |
| 6 | Al-Ittihad FC | 7 | 12 | 6 | +6 | 17 |
| 7 | Al Kholood | 7 | 12 | 10 | +2 | 12 |
| 8 | Al-Ettifaq | 7 | 11 | 11 | 0 | 11 |
| 9 | Al Riyadh | 7 | 8 | 16 | -8 | 8 |
| 10 | Al Diriyah | 7 | 7 | 5 | +2 | 11 |
| 11 | Al-Hazm | 7 | 7 | 9 | -2 | 8 |
| 12 | Al-Fayha | 7 | 7 | 11 | -4 | 6 |
| 13 | Al Shabab | 7 | 6 | 11 | -5 | 4 |
| 14 | Al-Faisaly FC | 7 | 5 | 13 | -8 | 3 |
| 15 | Abha | 7 | 5 | 13 | -8 | 2 |
| 16 | Al-Fateh | 7 | 4 | 11 | -7 | 3 |
| 17 | Al Khaleej Saihat | 7 | 3 | 10 | -7 | 5 |
| 18 | Al Taawon | 7 | 3 | 12 | -9 | 3 |
| # | TEAM | MP | xG | xGC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Al-Hilal Saudi FC | 7 | 13.7 | 4.9 | +8.8 | 18 |
| 2 | Al-Qadisiyah FC | 7 | 9.1 | 3.6 | +5.5 | 16 |
| 3 | Al-Nassr | 7 | 8.4 | 3.0 | +5.4 | 16 |
| 4 | Al Kholood | 7 | 10.9 | 7.3 | +3.6 | 12 |
| 5 | Al-Ahli Jeddah | 7 | 4.2 | 2.4 | +1.8 | 12 |
| 6 | Al-Ittihad FC | 7 | 8.1 | 6.4 | +1.7 | 17 |
| 7 | Al-Ettifaq | 7 | 6.7 | 5.7 | +1.0 | 11 |
| 8 | Al Diriyah | 7 | 3.7 | 2.9 | +0.8 | 11 |
| 9 | Al Taawon | 7 | 5.8 | 5.4 | +0.4 | 3 |
| 10 | NEOM | 7 | 6.0 | 6.1 | -0.1 | 15 |
| 11 | Al Shabab | 7 | 6.8 | 7.6 | -0.8 | 4 |
| 12 | Al-Fateh | 7 | 4.5 | 6.9 | -2.4 | 3 |
| 13 | Al-Hazm | 7 | 3.3 | 6.0 | -2.7 | 8 |
| 14 | Al Khaleej Saihat | 7 | 4.2 | 7.2 | -3.0 | 5 |
| 15 | Abha | 7 | 4.4 | 8.2 | -3.8 | 2 |
| 16 | Al Riyadh | 7 | 3.4 | 8.5 | -5.1 | 8 |
| 17 | Al-Faisaly FC | 7 | 4.5 | 9.7 | -5.2 | 3 |
| 18 | Al-Fayha | 7 | 5.0 | 10.8 | -5.8 | 6 |