The model missed the final outcome (CIL Blaj win 3–1).
The model had projected Viitorul Arad at 39.0%, but the full-time result went the other way.
Tracked markets vs full-time result
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 (4 goals) ✖ Incorrect
- Both Teams To Score BTTS Yes Yes ✔ Correct
- 1X2 Viitorul Arad CIL Blaj ✖ Incorrect
- Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 3-1 ✖ Incorrect
Post Match Insights
What worked
- Expected goals projected a high-scoring match (ΣxG 2.60) — 4 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 (4 goals)
- 1X2: model leaned Viitorul Arad; match finished CIL Blaj
Market lesson
The full-time result was CIL Blaj win 3–1, which did not match the model's pre-match lean on 1X2.
Prediction Timeline
How this prediction moved from forecast to full-time review.
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Sep 12, 2026 · 01:23 UTC Forecast generated
- xG · CIL Blaj 1.22 — Viitorul Arad 1.38
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Sep 18, 2026 · 14:00 UTC Kickoff
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FT Full-time result CIL Blaj win · 3–1
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FT Prediction missed 1X2 lean did not match full-time result
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Archived Prediction review
Historical Snapshot
Frozen at kickoff — the model output as it stood before the match started.
Pre-match metrics (historical context)
- Validation: Pending
- No strong statistical edge
- Market has already priced much of the edge
- Validation pending
Validation Report
Immutable SnapshotModel 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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Liga III - Serie 7 — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | CIL Blaj | 6 | 5 | 1 | 0 | 16 |
| 2 | Timişul Şag | 6 | 4 | 1 | 1 | 13 |
| 3 | Unirea Sântana | 6 | 4 | 0 | 2 | 12 |
| 4 | Unirea Alba Iulia | 6 | 3 | 2 | 1 | 11 |
| 5 | Cetate Deva | 6 | 2 | 3 | 1 | 9 |
| 6 | Viitorul Arad | 6 | 2 | 3 | 1 | 9 |
| 7 | Ghiroda şi Giarmata Vii | 6 | 2 | 3 | 1 | 9 |
| 8 | Progresul Pecica | 6 | 2 | 1 | 3 | 7 |
| 9 | Metalurgistul Cugir | 6 | 1 | 2 | 3 | 5 |
| 10 | Universitatea Alba Iulia | 6 | 0 | 3 | 3 | 3 |
| 11 | Poli Timisoara 2 | 6 | 1 | 0 | 5 | 3 |
| 12 | Nera Bogodinţi | 6 | 0 | 1 | 5 | 1 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Unirea Alba Iulia | 6 | 17 | 4 | +13 | 11 |
| 2 | CIL Blaj | 6 | 16 | 9 | +7 | 16 |
| 3 | Unirea Sântana | 6 | 13 | 4 | +9 | 12 |
| 4 | Cetate Deva | 6 | 13 | 11 | +2 | 9 |
| 5 | Progresul Pecica | 6 | 13 | 12 | +1 | 7 |
| 6 | Metalurgistul Cugir | 6 | 9 | 11 | -2 | 5 |
| 7 | Timişul Şag | 6 | 8 | 4 | +4 | 13 |
| 8 | Viitorul Arad | 6 | 8 | 7 | +1 | 9 |
| 9 | Poli Timisoara 2 | 6 | 8 | 18 | -10 | 3 |
| 10 | Ghiroda şi Giarmata Vii | 6 | 7 | 7 | 0 | 9 |
| 11 | Universitatea Alba Iulia | 6 | 4 | 12 | -8 | 3 |
| 12 | Nera Bogodinţi | 6 | 2 | 19 | -17 | 1 |