AI correctly predicted the Baniyas SC win.
The match finished 1–3, 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 (4 goals) ✖ Incorrect
- Both Teams To Score BTTS No Yes ✖ Incorrect
- 1X2 Baniyas SC Baniyas SC ✔ Correct
- Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 1-3 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Al-Dhafra | 33.3% | 38.8% | -5.5 pp | Market Higher |
| Draw | 29.6% | 28.4% | +1.3 pp | Aligned |
| Baniyas SC | 37.1% | 32.8% | +4.2 pp | Aligned |
The closing market estimates Al-Dhafra's win probability at 38.8%, compared with the model's estimate of 33.3%, a difference of 5.5 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 (Baniyas SC win 1–3).
Market Assessment
The market and model broadly agree on Al-Dhafra. The remaining divergence may reflect differences in team-strength assumptions rather than a directional disagreement.
- Monitor line movement before kickoff — not a betting recommendation.
Post Match Insights
What worked
- Expected goals projected a high-scoring match (ΣxG 2.60) — 4 goals materialised
What failed
- Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
- Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (4 goals)
Market lesson
Large model–market gaps do not automatically mean the market is right. Here the closing market priced Baniyas SC higher (42.6% vs model 37.1%, 5.5 pp), but the model's lean was validated (Baniyas SC win 1–3).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Sep 20, 2026 · 16:14 UTC Forecast generated
- Model 1X2 · Al-Dhafra 33.4% · Draw 29.6% · Baniyas SC 37.0%
- xG · Al-Dhafra 1.26 — Baniyas SC 1.34
-
Sep 20, 2026 · 15:44 UTC Opening odds snapshot PRE30
- 1X2 odds · Al-Dhafra 2.36 · Draw 3.23 · Baniyas SC 2.79
- Implied 1X2 · Al-Dhafra 38.8% · Draw 28.4% · Baniyas SC 32.8%
- Bookmaker · Pinnacle
-
Sep 20, 2026 · 16:14 UTC Closing snapshot recorded PRE1
- 1X2 odds · Al-Dhafra 2.36 · Draw 3.23 · Baniyas SC 2.79
- Implied 1X2 · Al-Dhafra 38.8% · Draw 28.4% · Baniyas SC 32.8%
- Bookmaker · Pinnacle
-
Sep 20, 2026 · 16:15 UTC Kickoff
-
FT Full-time result Baniyas SC win · 1–3
-
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: Pass
- No strong statistical edge
- Direction agrees with model lean
- Validation passed
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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