The model missed the final outcome (Vindbjart win 0–2).
The model had projected Brodd at 36.1%, 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 Under 2.5 (2 goals) ✔ Correct
- Both Teams To Score BTTS Yes No ✖ Incorrect
- 1X2 Brodd Vindbjart ✖ Incorrect
- Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 0-2 ✖ Incorrect
Post Match Insights
What worked
- Under 2.5 goals aligned with the xG profile
What failed
- Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
- 1X2: model leaned Brodd; match finished Vindbjart
Market lesson
The full-time result was Vindbjart win 0–2, 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 21, 2026 · 01:13 UTC Forecast generated
- xG · Brodd 1.32 — Vindbjart 1.28
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Sep 26, 2026 · 13:00 UTC Kickoff
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FT Full-time result Vindbjart win · 0–2
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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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3. Division - Girone 4 — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Madla | 21 | 13 | 6 | 2 | 45 |
| 2 | Mandalskameratene | 21 | 12 | 4 | 5 | 40 |
| 3 | Vindbjart | 21 | 12 | 2 | 7 | 38 |
| 4 | Varhaug | 21 | 10 | 6 | 5 | 36 |
| 5 | Flekkerøy | 21 | 11 | 3 | 7 | 36 |
| 6 | Viking II | 21 | 9 | 5 | 7 | 32 |
| 7 | Brodd | 21 | 8 | 3 | 10 | 27 |
| 8 | Stabæk II | 21 | 8 | 3 | 10 | 27 |
| 9 | Våg | 21 | 8 | 2 | 11 | 26 |
| 10 | Staal Jørpeland | 21 | 6 | 5 | 10 | 23 |
| 11 | Odd II | 21 | 6 | 5 | 10 | 23 |
| 12 | Haugesund II | 20 | 6 | 4 | 10 | 22 |
| 13 | Hinna | 20 | 5 | 5 | 10 | 20 |
| 14 | Åkra | 21 | 4 | 3 | 14 | 15 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Madla | 21 | 57 | 26 | +31 | 45 |
| 2 | Viking II | 21 | 51 | 30 | +21 | 32 |
| 3 | Mandalskameratene | 21 | 50 | 33 | +17 | 40 |
| 4 | Vindbjart | 21 | 49 | 24 | +25 | 38 |
| 5 | Flekkerøy | 21 | 43 | 35 | +8 | 36 |
| 6 | Stabæk II | 21 | 43 | 48 | -5 | 27 |
| 7 | Staal Jørpeland | 21 | 41 | 52 | -11 | 23 |
| 8 | Varhaug | 21 | 40 | 30 | +10 | 36 |
| 9 | Brodd | 21 | 39 | 42 | -3 | 27 |
| 10 | Haugesund II | 20 | 37 | 55 | -18 | 22 |
| 11 | Odd II | 21 | 36 | 49 | -13 | 23 |
| 12 | Hinna | 20 | 36 | 57 | -21 | 20 |
| 13 | Våg | 21 | 31 | 37 | -6 | 26 |
| 14 | Åkra | 21 | 27 | 62 | -35 | 15 |