AI correctly predicted the England win.
The match finished 3–0, 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 Under 2.5 Over 2.5 (3 goals) ✖ Incorrect
- Both Teams To Score BTTS Yes No ✖ Incorrect
- 1X2 England England ✔ Correct
- Correct Score Insights 1-1, 1-0, 0-1, 0-0, 2-1 3-0 ✖ Incorrect
Post Match Insights
What failed
- Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
- Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)
Market lesson
The model's directional lean matched the full-time result (England win 3–0).
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Prediction Timeline
How this prediction moved from forecast to full-time review.
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Oct 06, 2026 · 01:24 UTC Forecast generated
- xG · England 1.26 — Czech Republic 1.15
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Oct 06, 2026 · 18:45 UTC Kickoff
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FT Full-time result England win · 3–0
-
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
England win · England 3–0 Czech Republic
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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UEFA Nations League — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | France | 4 | 3 | 1 | 0 | 10 |
| 2 | Italy | 4 | 2 | 1 | 1 | 7 |
| 3 | Belgium | 4 | 2 | 0 | 2 | 6 |
| 4 | Türkiye | 4 | 0 | 0 | 4 | 0 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Italy | 4 | 8 | 5 | +3 | 7 |
| 2 | France | 4 | 7 | 2 | +5 | 10 |
| 3 | Belgium | 4 | 6 | 5 | +1 | 6 |
| 4 | Türkiye | 4 | 2 | 11 | -9 | 0 |
| # | TEAM | MP | xG | xGC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | France | 4 | 2.0 | 0.6 | +1.4 | 10 |
| 2 | Italy | 4 | 2.0 | 1.4 | +0.6 | 7 |
| 3 | Türkiye | 4 | 1.4 | 2.0 | -0.6 | 0 |
| 4 | Belgium | 4 | 0.6 | 2.0 | -1.4 | 6 |
