AI correctly predicted the Blackburn Rovers U18 win.
The match finished 6–2, validating the model's directional assessment.
Tracked markets vs full-time result
Prediction grade
A
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 (8 goals) ✔ Correct
- Both Teams To Score BTTS Yes Yes ✔ Correct
- 1X2 Blackburn Rovers U18 Blackburn Rovers U18 ✔ Correct
- Correct Score Insights 1-1, 1-0, 2-1, 0-1, 1-2 6-2 ✖ Incorrect
Post Match Insights
What worked
- Expected goals projected a high-scoring match (ΣxG 2.72) — 8 goals materialised
- Both Teams To Score (Yes) matched the full-time result
- Over 2.5 goals aligned with the xG profile
What failed
- Exact score: outside the model's top score bins
Market lesson
The model's directional lean matched the full-time result (Blackburn Rovers U18 win 6–2).
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Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Before kickoff Forecast generated
- xG · Blackburn Rovers U18 1.49 — Middlesbrough U18 1.23
-
Jan 31, 2026 · 12:00 UTC Kickoff
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FT Full-time result Blackburn Rovers U18 win · 6–2
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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
Blackburn Rovers U18 win · Blackburn Rovers U18 6–2 Middlesbrough U18
Prediction
✔ Correct
Decision Grade
A
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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