The model missed the final outcome (Al Taawon win 1–3).
The model had projected Al Riyadh at 50.4%, 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 Over 2.5 Over 2.5 (4 goals) ✔ Correct
- Both Teams To Score BTTS Yes Yes ✔ Correct
- 1X2 Al Riyadh Al Taawon ✖ Incorrect
- Correct Score Insights 1-1, 2-1, 1-0, 2-0, 1-2 1-3 ✖ Incorrect
Post Match Insights
What worked
- Expected goals projected a high-scoring match (ΣxG 3.29) — 4 goals materialised
- Both Teams To Score (Yes) matched the full-time result
- Over 2.5 goals aligned with the xG profile
What failed
- 1X2: model leaned Al Riyadh; match finished Al Taawon
- Exact score: outside the model's top score bins
Market lesson
The full-time result was Al Taawon win 1–3, which did not match the model's pre-match lean on 1X2.
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Before kickoff Forecast generated
- xG · Al Riyadh 1.95 — Al Taawon 1.34
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Jan 18, 2026 · 17:30 UTC Kickoff
-
FT Full-time result Al Taawon win · 1–3
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FT Prediction missed 1X2 lean did not match full-time result
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Archived Prediction review
Historical Snapshot
Frozen at kickoff — the model output as it stood before the match started.
Pre-match metrics (historical context)
- Validation: Pending
- Moderate model lean
- Market has already priced much of the edge
- Validation pending
Validation Report
Immutable SnapshotProbability Calibration
- Expected: 50.5%
- Historical Bucket: 50–55% — Building sample
Model 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-Nassr | 34 | 28 | 2 | 4 | 86 |
| 2 | Al-Hilal Saudi FC | 34 | 25 | 9 | 0 | 84 |
| 3 | Al-Ahli Jeddah | 34 | 25 | 6 | 3 | 81 |
| 4 | Al-Qadisiyah FC | 34 | 23 | 8 | 3 | 77 |
| 5 | Al-Ittihad FC | 34 | 16 | 7 | 11 | 55 |
| 6 | Al Taawon | 34 | 15 | 8 | 11 | 53 |
| 7 | Al-Ettifaq | 34 | 14 | 8 | 12 | 50 |
| 8 | NEOM | 34 | 12 | 9 | 13 | 45 |
| 9 | Al-Hazm | 34 | 11 | 9 | 14 | 42 |
| 10 | Al-Fayha | 34 | 10 | 8 | 16 | 38 |
| 11 | Al-Fateh | 34 | 9 | 10 | 15 | 37 |
| 12 | Al Khaleej Saihat | 34 | 10 | 7 | 17 | 37 |
| 13 | Al Shabab | 34 | 8 | 11 | 15 | 35 |
| 14 | Al Kholood | 34 | 9 | 6 | 19 | 33 |
| 15 | Al Riyadh | 34 | 7 | 9 | 18 | 30 |
| 16 | Damac | 34 | 6 | 11 | 17 | 29 |
| 17 | Al Akhdoud | 34 | 5 | 5 | 24 | 20 |
| 18 | Al Najma | 34 | 3 | 7 | 24 | 16 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Al-Nassr | 34 | 91 | 28 | +63 | 86 |
| 2 | Al-Hilal Saudi FC | 34 | 85 | 27 | +58 | 84 |
| 3 | Al-Qadisiyah FC | 34 | 83 | 34 | +49 | 77 |
| 4 | Al-Ahli Jeddah | 34 | 71 | 25 | +46 | 81 |
| 5 | Al Taawon | 34 | 59 | 46 | +13 | 53 |
| 6 | Al-Ittihad FC | 34 | 55 | 48 | +7 | 55 |
| 7 | Al Khaleej Saihat | 34 | 54 | 62 | -8 | 37 |
| 8 | Al-Ettifaq | 34 | 51 | 55 | -4 | 50 |
| 9 | Al Shabab | 34 | 44 | 57 | -13 | 35 |
| 10 | NEOM | 34 | 43 | 48 | -5 | 45 |
| 11 | Al-Fayha | 34 | 41 | 54 | -13 | 38 |
| 12 | Al-Fateh | 34 | 41 | 55 | -14 | 37 |
| 13 | Al Kholood | 34 | 39 | 61 | -22 | 33 |
| 14 | Al-Hazm | 34 | 38 | 57 | -19 | 42 |
| 15 | Al Riyadh | 34 | 35 | 63 | -28 | 30 |
| 16 | Damac | 34 | 32 | 55 | -23 | 29 |
| 17 | Al Najma | 34 | 32 | 76 | -44 | 16 |
| 18 | Al Akhdoud | 34 | 27 | 70 | -43 | 20 |
| # | TEAM | MP | xG | xGC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Al-Nassr | 34 | 69.8 | 26.0 | +43.8 | 86 |
| 2 | Al-Hilal Saudi FC | 34 | 68.9 | 25.9 | +43.0 | 84 |
| 3 | Al-Ahli Jeddah | 34 | 62.4 | 26.7 | +35.7 | 81 |
| 4 | Al-Qadisiyah FC | 34 | 62.9 | 35.2 | +27.7 | 77 |
| 5 | Al-Ittihad FC | 34 | 49.5 | 41.2 | +8.3 | 55 |
| 6 | NEOM | 34 | 45.8 | 39.4 | +6.4 | 45 |
| 7 | Al Shabab | 34 | 44.1 | 44.7 | -0.6 | 35 |
| 8 | Al Taawon | 34 | 42.0 | 44.7 | -2.7 | 53 |
| 9 | Al Khaleej Saihat | 34 | 42.6 | 46.3 | -3.7 | 37 |
| 10 | Al-Fateh | 34 | 42.5 | 49.6 | -7.1 | 37 |
| 11 | Al Riyadh | 34 | 41.4 | 50.5 | -9.1 | 30 |
| 12 | Al-Fayha | 34 | 33.3 | 43.4 | -10.1 | 38 |
| 13 | Al-Hazm | 34 | 34.1 | 47.4 | -13.3 | 42 |
| 14 | Damac | 34 | 25.1 | 38.5 | -13.4 | 29 |
| 15 | Al-Ettifaq | 34 | 39.0 | 56.5 | -17.5 | 50 |
| 16 | Al Kholood | 34 | 33.2 | 51.5 | -18.3 | 33 |
| 17 | Al Najma | 34 | 28.1 | 61.0 | -32.9 | 16 |
| 18 | Al Akhdoud | 34 | 26.8 | 62.8 | -36.0 | 20 |