Tracked markets vs full-time result
Prediction grade
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Each row compares the pre-match model lean to the full-time result.
- Market Prediction Result Outcome
- Over / Under 2.5 — Over 2.5 (7 goals) — N/A
- Both Teams To Score — Yes — N/A
- 1X2 — Chelsea — N/A
- Correct Score Insights — 3-4 — N/A
Post Match Insights
What worked
- Expected goals projected a high-scoring match (ΣxG 3.72) — 7 goals materialised
- Chelsea attacking xG significantly stronger (2.04 vs 1.68)
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Prediction Timeline
How this prediction moved from forecast to full-time review.
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Before kickoff Forecast generated
- xG · Wolves 1.68 — Chelsea 2.04
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Oct 29, 2025 · 19:45 UTC Kickoff
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FT Full-time result Chelsea win · 3–4
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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
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Pre-match metrics (historical context)
Prediction Reliability
51/100
· Moderate
- Validation: Pending
- High xG deviation from league baseline (51%+)
Evidence
★★★★★
- No strong statistical edge
- Market has already priced much of the edge
- Validation pending
Market Compatibility
100/100
Betting Confidence
53/100
Validation Report
Immutable Snapshot
Closing Odds
Pending
AI Fair Odds
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CLV
Pending
Final Result
Chelsea win · Wolves 3–4 Chelsea
Prediction
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Decision Grade
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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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