AI correctly predicted the Safa win.
The match finished 2–0, validating the model's directional assessment.
Tracked markets vs full-time result
Prediction grade
F
Each row compares the pre-match model lean to the full-time result.
- Market Prediction Result Outcome
- Over / Under 2.5 Over 2.5 Under 2.5 (2 goals) ✖ Incorrect
- Both Teams To Score BTTS Yes No ✖ Incorrect
- 1X2 Safa Safa ✔ Correct
- Correct Score Insights 1-1, 1-0, 2-1, 0-1, 1-2 2-0 ✖ Incorrect
Post Match Insights
What failed
- Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
- Over / Under 2.5: model leaned Over 2.5; match finished Under 2.5 (2 goals)
Market lesson
The model's directional lean matched the full-time result (Safa win 2–0).
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Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Before kickoff Forecast generated
- xG · Safa 1.49 — Racing 1.23
-
Feb 20, 2026 · 12:15 UTC Kickoff
-
FT Full-time result Safa win · 2–0
-
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.
Historical verdict:
Observe
Historical Decision
No Primary Bet
Outcome
Validated
Pre-match metrics (historical context)
Prediction Reliability
57/100
· Moderate
- Validation: Pending
Evidence
★★★★★
- No strong statistical edge
- Market has already priced much of the edge
- Validation pending
Market Compatibility
100/100
Betting Confidence
59/100
Validation Report
Immutable Snapshot
Closing Odds
Pending
AI Fair Odds
—
CLV
Pending
Final Result
Safa win · Safa 2–0 Racing
Prediction
✔ Correct
Decision Grade
F
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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Premier League — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Al Ansar | 21 | 17 | 2 | 2 | 53 |
| 2 | Al Nejmeh | 21 | 14 | 4 | 3 | 46 |
| 3 | Al Ahed | 21 | 13 | 1 | 7 | 40 |
| 4 | Jwaaya FC | 21 | 11 | 5 | 5 | 38 |
| 5 | Safa | 21 | 11 | 3 | 7 | 36 |
| 6 | Al Hikma | 21 | 9 | 3 | 9 | 30 |
| 7 | Shabab Al Sahel | 21 | 7 | 6 | 8 | 27 |
| 8 | Al Mabarrah | 21 | 5 | 7 | 9 | 22 |
| 9 | Reyady Abaseya | 21 | 5 | 5 | 11 | 20 |
| 10 | Tadamon Sour | 21 | 3 | 8 | 10 | 17 |
| 11 | Bourj | 11 | 3 | 1 | 7 | 10 |
| 12 | Racing | 21 | 0 | 1 | 20 | 1 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Al Ansar | 21 | 53 | 9 | +44 | 53 |
| 2 | Al Nejmeh | 21 | 42 | 10 | +32 | 46 |
| 3 | Al Ahed | 21 | 34 | 22 | +12 | 40 |
| 4 | Jwaaya FC | 21 | 31 | 14 | +17 | 38 |
| 5 | Safa | 21 | 30 | 17 | +13 | 36 |
| 6 | Al Hikma | 21 | 29 | 27 | +2 | 30 |
| 7 | Shabab Al Sahel | 21 | 22 | 21 | +1 | 27 |
| 8 | Reyady Abaseya | 21 | 16 | 30 | -14 | 20 |
| 9 | Tadamon Sour | 21 | 12 | 26 | -14 | 17 |
| 10 | Al Mabarrah | 21 | 12 | 36 | -24 | 22 |
| 11 | Bourj | 11 | 8 | 20 | -12 | 10 |
| 12 | Racing | 21 | 4 | 61 | -57 | 1 |
