AI correctly predicted the Frigg win.
The match finished 5–2, validating the model's directional assessment.
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 Frigg Frigg ✔ Correct
- Correct Score Insights 1-1, 1-0, 2-1, 0-1, 2-0 5-2 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Frigg | 41.4% | 45.1% | -3.7 pp | Aligned |
| Draw | 29.4% | 23.1% | +6.3 pp | Model Higher |
| IF Ready | 29.2% | 31.8% | -2.6 pp | Aligned |
The statistical model estimates Draw's win probability at 29.4%, compared with the closing market's implied probability of 23.1%, a difference of 6.3 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: PRE1.
After full time, the model's directional lean matched the result (Frigg win 5–2).
Market Assessment
The fair estimate shows a modest edge over current market pricing on Draw.
- Monitor line movement before kickoff — not a betting recommendation.
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)
- Exact score: outside the model's top score bins
Market lesson
Large model–market gaps do not automatically mean the market is right. Here the closing market priced Frigg more conservatively (35.1% vs model 41.4%, 6.3 pp), but the model's lean was validated (Frigg win 5–2).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Sep 05, 2026 · 10:59 UTC Forecast generated
- Model 1X2 · Frigg 41.4% · Draw 29.4% · IF Ready 29.3%
- xG · Frigg 1.43 — IF Ready 1.17
-
Sep 05, 2026 · 10:29 UTC Opening odds snapshot PRE30
- 1X2 odds · Frigg 1.97 · Draw 3.85 · IF Ready 2.79
- Implied 1X2 · Frigg 45.1% · Draw 23.1% · IF Ready 31.8%
- Bookmaker · Pinnacle
-
Sep 05, 2026 · 10:59 UTC Closing snapshot recorded PRE1
- 1X2 odds · Frigg 1.97 · Draw 3.85 · IF Ready 2.79
- Implied 1X2 · Frigg 45.1% · Draw 23.1% · IF Ready 31.8%
- Bookmaker · Pinnacle
-
Sep 05, 2026 · 11:00 UTC Kickoff
-
FT Full-time result Frigg win · 5–2
-
FT Prediction validated Directional lean matched 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: Pass
- No strong statistical edge
- Direction agrees with model lean
- Validation passed
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.
Explore More Predictions Content
Get Premium Predictions for Frigg & IF Ready!
Unlock in-depth analysis, exclusive betting tips, and match forecasts with our premium subscription service.
Subscribe Now
3. Division - Girone 1 — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Asker | 20 | 18 | 1 | 1 | 55 |
| 2 | Heming | 21 | 13 | 3 | 5 | 42 |
| 3 | Gamle Oslo | 21 | 13 | 1 | 7 | 40 |
| 4 | Bærum | 21 | 11 | 2 | 8 | 35 |
| 5 | Vålerenga II | 21 | 11 | 1 | 9 | 34 |
| 6 | IF Ready | 21 | 9 | 6 | 6 | 33 |
| 7 | Frigg | 20 | 9 | 5 | 6 | 32 |
| 8 | Union Carl Berner | 20 | 10 | 1 | 9 | 31 |
| 9 | KFUM II | 20 | 7 | 2 | 11 | 23 |
| 10 | Lokomotiv Oslo | 21 | 7 | 2 | 12 | 23 |
| 11 | Nordstrand | 21 | 6 | 2 | 13 | 20 |
| 12 | Ullern | 21 | 6 | 2 | 13 | 20 |
| 13 | Konnerud | 21 | 5 | 1 | 15 | 16 |
| 14 | SF Grei | 21 | 5 | 1 | 15 | 16 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Asker | 20 | 71 | 25 | +46 | 55 |
| 2 | Gamle Oslo | 21 | 68 | 41 | +27 | 40 |
| 3 | Bærum | 21 | 61 | 39 | +22 | 35 |
| 4 | Heming | 21 | 53 | 31 | +22 | 42 |
| 5 | IF Ready | 21 | 53 | 42 | +11 | 33 |
| 6 | Frigg | 20 | 49 | 44 | +5 | 32 |
| 7 | Vålerenga II | 21 | 47 | 58 | -11 | 34 |
| 8 | KFUM II | 20 | 41 | 58 | -17 | 23 |
| 9 | Ullern | 21 | 39 | 57 | -18 | 20 |
| 10 | Lokomotiv Oslo | 21 | 39 | 61 | -22 | 23 |
| 11 | Nordstrand | 21 | 36 | 48 | -12 | 20 |
| 12 | SF Grei | 21 | 36 | 69 | -33 | 16 |
| 13 | Union Carl Berner | 20 | 35 | 30 | +5 | 31 |
| 14 | Konnerud | 21 | 29 | 54 | -25 | 16 |