The model missed the final outcome (Molde win 2–4).
The model had projected KFUM Oslo at 43.5%, 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 Over 2.5 Over 2.5 (6 goals) ✔ Correct
- Both Teams To Score BTTS Yes Yes ✔ Correct
- 1X2 KFUM Oslo Molde ✖ Incorrect
- Correct Score Insights 1-1, 2-1, 1-0, 2-0, 1-2 2-4 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| KFUM Oslo | 43.5% | 31.4% | +12.1 pp | Model Edge |
| Draw | 25.5% | 25.7% | -0.2 pp | Aligned |
| Molde | 30.9% | 42.8% | -11.9 pp | Market Higher |
The statistical model estimates KFUM Oslo's win probability at 43.5%, compared with the closing market's implied probability of 31.4%, a difference of 12.1 percentage points. This highlights a substantial disagreement between the model's assessment and the market consensus, rather than 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: PRE5.
After full time, the result was Molde win 2–4.
Market Assessment
The statistical fair estimate is materially higher than the market on KFUM Oslo.
- The model may see a slower-scoring or closer matchup than the market.
- Monitor line movement before kickoff — not a betting recommendation.
Post Match Insights
What worked
- Expected goals projected a high-scoring match (ΣxG 3.28) — 6 goals materialised
- Both Teams To Score (Yes) matched the full-time result
- Over 2.5 goals aligned with the xG profile
What failed
- 1X2: model leaned KFUM Oslo; match finished Molde
- Exact score: outside the model's top score bins
Market lesson
The closing market differed from the model on KFUM Oslo by 12.1 percentage points (31.4% vs model 43.5%) — in this case the market view proved closer.
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Jul 26, 2026 · 19:46 UTC Forecast generated
- Model 1X2 · KFUM Oslo 43.5% · Draw 25.5% · Molde 31.0%
- xG · KFUM Oslo 1.91 — Molde 1.37
-
Jul 26, 2026 · 14:31 UTC Opening odds snapshot PRE30
- 1X2 odds · KFUM Oslo 3.08 · Draw 3.76 · Molde 2.26
- Implied 1X2 · KFUM Oslo 31.4% · Draw 25.7% · Molde 42.8%
- Bookmaker · Pinnacle
-
Jul 26, 2026 · 14:55 UTC Closing snapshot recorded PRE5
- 1X2 odds · KFUM Oslo 3.08 · Draw 3.76 · Molde 2.26
- Implied 1X2 · KFUM Oslo 31.4% · Draw 25.7% · Molde 42.8%
- Bookmaker · Pinnacle
-
Jul 26, 2026 · 15:00 UTC Kickoff
-
FT Full-time result Molde win · 2–4
-
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 (12 pp)
- Statistical edge detected
- Market has already priced much of the edge
- Validation warning
Validation Report
Immutable SnapshotProbability Calibration
- Expected: 53.5%
- Historical Bucket: 50–55% — Building sample
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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Eliteserien — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Viking | 21 | 16 | 2 | 3 | 50 |
| 2 | Bodo/Glimt | 21 | 16 | 2 | 3 | 50 |
| 3 | Tromso | 21 | 11 | 5 | 5 | 38 |
| 4 | Molde | 21 | 11 | 3 | 7 | 36 |
| 5 | Rosenborg | 21 | 10 | 3 | 8 | 33 |
| 6 | Lillestrom | 21 | 10 | 2 | 9 | 32 |
| 7 | Brann | 21 | 9 | 2 | 10 | 29 |
| 8 | Fredrikstad | 21 | 8 | 4 | 9 | 28 |
| 9 | Sarpsborg 08 FF | 21 | 6 | 7 | 8 | 25 |
| 10 | KFUM Oslo | 21 | 7 | 4 | 10 | 25 |
| 11 | Sandefjord | 21 | 6 | 5 | 10 | 23 |
| 12 | Valerenga | 21 | 6 | 5 | 10 | 23 |
| 13 | Ham-Kam | 21 | 6 | 5 | 10 | 23 |
| 14 | Aalesund | 21 | 4 | 9 | 8 | 21 |
| 15 | Kristiansund BK | 21 | 5 | 4 | 12 | 19 |
| 16 | Start | 21 | 4 | 4 | 13 | 16 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Viking | 21 | 54 | 20 | +34 | 50 |
| 2 | Bodo/Glimt | 21 | 53 | 19 | +34 | 50 |
| 3 | Molde | 21 | 44 | 32 | +12 | 36 |
| 4 | Tromso | 21 | 40 | 29 | +11 | 38 |
| 5 | Rosenborg | 21 | 39 | 30 | +9 | 33 |
| 6 | Brann | 21 | 39 | 32 | +7 | 29 |
| 7 | Valerenga | 21 | 34 | 43 | -9 | 23 |
| 8 | Aalesund | 21 | 33 | 46 | -13 | 21 |
| 9 | Ham-Kam | 21 | 29 | 44 | -15 | 23 |
| 10 | Lillestrom | 21 | 28 | 29 | -1 | 32 |
| 11 | Fredrikstad | 21 | 25 | 32 | -7 | 28 |
| 12 | KFUM Oslo | 21 | 25 | 35 | -10 | 25 |
| 13 | Sarpsborg 08 FF | 21 | 24 | 29 | -5 | 25 |
| 14 | Start | 21 | 22 | 44 | -22 | 16 |
| 15 | Sandefjord | 21 | 21 | 27 | -6 | 23 |
| 16 | Kristiansund BK | 21 | 21 | 40 | -19 | 19 |
| # | TEAM | MP | xG | xGC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Molde | 21 | 17.3 | 5.4 | +11.9 | 36 |
| 2 | Bodo/Glimt | 21 | 15.3 | 4.9 | +10.4 | 50 |
| 3 | Viking | 21 | 14.1 | 9.9 | +4.2 | 50 |
| 4 | Rosenborg | 21 | 13.0 | 9.7 | +3.3 | 33 |
| 5 | Start | 21 | 10.6 | 8.7 | +1.9 | 16 |
| 6 | Brann | 21 | 8.6 | 7.3 | +1.3 | 29 |
| 7 | Sarpsborg 08 FF | 21 | 11.8 | 11.0 | +0.8 | 25 |
| 8 | Tromso | 21 | 7.4 | 7.7 | -0.3 | 38 |
| 9 | Lillestrom | 21 | 10.1 | 11.1 | -1.0 | 32 |
| 10 | Valerenga | 21 | 12.6 | 14.4 | -1.8 | 23 |
| 11 | Fredrikstad | 21 | 9.0 | 12.2 | -3.2 | 28 |
| 12 | Sandefjord | 21 | 7.1 | 11.3 | -4.2 | 23 |
| 13 | Kristiansund BK | 21 | 6.7 | 11.2 | -4.5 | 19 |
| 14 | Ham-Kam | 21 | 6.8 | 12.0 | -5.2 | 23 |
| 15 | Aalesund | 21 | 9.6 | 14.9 | -5.3 | 21 |
| 16 | KFUM Oslo | 21 | 7.6 | 15.7 | -8.1 | 25 |