AI correctly predicted the Trygg/Lade win.
The match finished 1–2, 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 (3 goals) ✖ Incorrect
- Both Teams To Score BTTS Yes Yes ✔ Correct
- 1X2 Trygg/Lade Trygg/Lade ✔ Correct
- Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 1-2 ✔ Correct
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Follo | 34.2% | 52.6% | -18.4 pp | Market Higher |
| Draw | 29.6% | 23.1% | +6.5 pp | Model Higher |
| Trygg/Lade | 36.1% | 24.2% | +11.9 pp | Model Edge |
The closing market estimates Follo's win probability at 52.6%, compared with the model's estimate of 34.2%, a difference of 18.4 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 model's directional lean matched the result (Trygg/Lade win 1–2).
Market Assessment
The market is materially more optimistic about Follo 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) — 3 goals materialised
- Both Teams To Score (Yes) matched the full-time result
- Exact score 1–2 fell within the model's highlighted bins
What failed
- Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)
Market lesson
Large model–market gaps do not automatically mean the market is right. Here the closing market priced Trygg/Lade higher (54.5% vs model 36.1%, 18.4 pp), but the model's lean was validated (Trygg/Lade win 1–2).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Aug 02, 2026 · 11:59 UTC Forecast generated
- Model 1X2 · Follo 34.2% · Draw 29.7% · Trygg/Lade 36.1%
- xG · Follo 1.28 — Trygg/Lade 1.32
-
Aug 02, 2026 · 11:29 UTC Opening odds snapshot PRE30
- 1X2 odds · Follo 1.76 · Draw 4.01 · Trygg/Lade 3.82
- Implied 1X2 · Follo 52.6% · Draw 23.1% · Trygg/Lade 24.2%
- Bookmaker · Pinnacle
-
Aug 02, 2026 · 11:59 UTC Closing snapshot recorded PRE1
- 1X2 odds · Follo 1.76 · Draw 4.01 · Trygg/Lade 3.82
- Implied 1X2 · Follo 52.6% · Draw 23.1% · Trygg/Lade 24.2%
- Bookmaker · Pinnacle
-
Aug 02, 2026 · 12:00 UTC Kickoff
-
FT Full-time result Trygg/Lade win · 1–2
-
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: Warning
- Large market gap (18 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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2. Division - Group 2 — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Eidsvold | 20 | 15 | 3 | 2 | 48 |
| 2 | Levanger | 20 | 15 | 0 | 5 | 45 |
| 3 | Kjelsås | 21 | 14 | 2 | 5 | 44 |
| 4 | Hønefoss | 20 | 13 | 3 | 4 | 42 |
| 5 | Grorud | 20 | 11 | 4 | 5 | 37 |
| 6 | Stjørdals-Blink | 21 | 9 | 3 | 9 | 30 |
| 7 | Lørenskog | 20 | 9 | 3 | 8 | 30 |
| 8 | Tromsdalen Uil | 20 | 9 | 2 | 9 | 29 |
| 9 | Junkeren | 20 | 8 | 4 | 8 | 28 |
| 10 | Rana | 20 | 7 | 3 | 10 | 24 |
| 11 | Skeid | 20 | 5 | 2 | 13 | 17 |
| 12 | Follo | 21 | 3 | 5 | 13 | 14 |
| 13 | Ull/Kisa | 21 | 3 | 1 | 17 | 10 |
| 14 | Trygg/Lade | 20 | 2 | 3 | 15 | 9 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Levanger | 20 | 51 | 21 | +30 | 45 |
| 2 | Hønefoss | 20 | 51 | 28 | +23 | 42 |
| 3 | Kjelsås | 21 | 49 | 31 | +18 | 44 |
| 4 | Eidsvold | 20 | 48 | 16 | +32 | 48 |
| 5 | Stjørdals-Blink | 21 | 37 | 38 | -1 | 30 |
| 6 | Grorud | 20 | 34 | 20 | +14 | 37 |
| 7 | Tromsdalen Uil | 20 | 34 | 34 | 0 | 29 |
| 8 | Rana | 20 | 34 | 38 | -4 | 24 |
| 9 | Lørenskog | 20 | 29 | 32 | -3 | 30 |
| 10 | Junkeren | 20 | 29 | 33 | -4 | 28 |
| 11 | Skeid | 20 | 27 | 43 | -16 | 17 |
| 12 | Follo | 21 | 25 | 45 | -20 | 14 |
| 13 | Ull/Kisa | 21 | 25 | 70 | -45 | 10 |
| 14 | Trygg/Lade | 20 | 23 | 47 | -24 | 9 |
