The model missed the final outcome (Haugesund II win 3–4).
The model had projected Staal Jørpeland 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 Over 2.5 (7 goals) ✖ Incorrect
- Both Teams To Score BTTS Yes Yes ✔ Correct
- 1X2 Staal Jørpeland Haugesund II ✖ Incorrect
- Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 3-4 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Staal Jørpeland | 36.1% | 26.2% | +9.9 pp | Model Higher |
| Draw | 29.6% | 19.6% | +10.1 pp | Model Edge |
| Haugesund II | 34.2% | 54.2% | -20.0 pp | Market Higher |
The closing market estimates Haugesund II's win probability at 54.2%, compared with the model's estimate of 34.2%, a difference of 20.0 percentage points. This highlights a disagreement between the model and market consensus, without indicating which view is ultimately correct.
Model probabilities are generated from the statistical xG model using a Poisson distribution. Closing market probabilities are derived from consensus closing 1X2 odds after margin removal. Values represent implied probabilities rather than betting recommendations. Closing snapshot: PRE1.
After full time, the result was Haugesund II win 3–4.
Market Assessment
The market is materially more optimistic about Haugesund II than the current fair estimate.
- Investors may be incorporating information not fully reflected in the baseline model.
- Tournament-specific context can shift market pricing.
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 Staal Jørpeland; match finished Haugesund II
Market lesson
The closing market differed from the model on Staal Jørpeland by 20.0 percentage points (56.1% vs model 36.1%) — in this case the market view proved closer.
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Aug 17, 2026 · 15:59 UTC Forecast generated
- Model 1X2 · Staal Jørpeland 36.1% · Draw 29.7% · Haugesund II 34.2%
- xG · Staal Jørpeland 1.32 — Haugesund II 1.28
-
Aug 17, 2026 · 15:29 UTC Opening odds snapshot PRE30
- 1X2 odds · Staal Jørpeland 3.39 · Draw 4.54 · Haugesund II 1.64
- Implied 1X2 · Staal Jørpeland 26.2% · Draw 19.6% · Haugesund II 54.2%
- Bookmaker · Pinnacle
-
Aug 17, 2026 · 15:59 UTC Closing snapshot recorded PRE1
- 1X2 odds · Staal Jørpeland 3.39 · Draw 4.54 · Haugesund II 1.64
- Implied 1X2 · Staal Jørpeland 26.2% · Draw 19.6% · Haugesund II 54.2%
- Bookmaker · Pinnacle
-
Aug 17, 2026 · 16:00 UTC Kickoff
-
FT Full-time result Haugesund II win · 3–4
-
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.
Pre-match metrics (historical context)
- Validation: Warning
- Large market gap (20 pp)
- No strong statistical edge
- Pricing remains divergent
- Validation warning
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 |