The model missed the final outcome (Guria win 6–1).
The model had projected Merani Tbilisi at 37.5%, but the full-time result went the other way.
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 (7 goals) ✖ Incorrect
- Both Teams To Score BTTS Yes Yes ✔ Correct
- 1X2 Merani Tbilisi Guria ✖ Incorrect
- Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 6-1 ✖ Incorrect
Post Match Insights
What worked
- Expected goals projected a high-scoring match (ΣxG 2.60) — 7 goals materialised
- Both Teams To Score (Yes) matched the full-time result
What failed
- Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (7 goals)
- 1X2: model leaned Merani Tbilisi; match finished Guria
Market lesson
The full-time result was Guria win 6–1, which did not match the model's pre-match lean on 1X2.
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Prediction Timeline
How this prediction moved from forecast to full-time review.
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Jun 26, 2026 · 19:22 UTC Forecast generated
- xG · Guria 1.25 — Merani Tbilisi 1.35
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Jun 26, 2026 · 13:00 UTC Kickoff
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FT Full-time result Guria win · 6–1
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FT Prediction missed 1X2 lean did not match 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
Missed
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
Guria win · Guria 6–1 Merani Tbilisi
Prediction
✖ Missed
Decision Grade
F
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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