Predictions / Football / Norway. 3. Division - Girone 1 / Frigg vs Heming

Prediction Audit: Frigg vs Heming Prediction, Odds & AI Betting Tips

Frigg Frigg
Jun 13, 2026 - 14:00
4 1.43
1 1.17
xG Accuracy: 47%
Heming Heming

AI correctly predicted the Frigg win.

The match finished 4–1, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade B-

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 (5 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 4-1 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Heming higher than the statistical model.

Largest probability gap: Heming -17.3 pp

Outcome Model Closing Market Difference Signal
Frigg 41.4% 30.3% +11.1 pp Model Edge
Draw 29.4% 23.1% +6.2 pp Model Higher
Heming 29.2% 46.5% -17.3 pp Market Higher

The closing market estimates Heming's win probability at 46.5%, compared with the model's estimate of 29.2%, a difference of 17.3 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 (Frigg win 4–1).

Market Assessment

The market is materially more optimistic about Heming 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) — 5 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 (5 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 higher (58.7% vs model 41.4%, 17.3 pp), but the model's lean was validated (Frigg win 4–1).

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Prediction Timeline

How this prediction moved from forecast to full-time review.

  1. Jun 13, 2026 · 19:49 UTC Forecast generated
    • Model 1X2 · Frigg 41.4% · Draw 29.4% · Heming 29.3%
    • xG · Frigg 1.43 — Heming 1.17
  2. Jun 13, 2026 · 13:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Frigg 2.65 · Draw 3.85 · Heming 2.05
    • Implied 1X2 · Frigg 33.5% · Draw 23.1% · Heming 43.4%
    • Bookmaker · Pinnacle
  3. Jun 13, 2026 · 13:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Frigg 2.93 · Draw 3.84 · Heming 1.91
    • Implied 1X2 · Frigg 30.3% · Draw 23.1% · Heming 46.5%
    • Bookmaker · Pinnacle
  4. Jun 13, 2026 · 14:00 UTC Kickoff
  5. FT Full-time result Frigg win · 4–1
  6. FT Prediction validated Directional lean matched full-time result
  7. Archived Prediction review

Historical Snapshot

Frozen at kickoff — the model output as it stood before the match started.

Historical verdict: Monitor
Historical Decision Monitor
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 54/100 · Moderate
  • Validation: Warning
  • Large market gap (17 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 4/100
Monitoring Confidence 19/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 03:57 UTC Snapshot ID: dp-1547381

Closing Odds 1.91
AI Fair Odds —
CLV Pending
Final Result Frigg win · Frigg 4–1 Heming
Prediction ✔ Correct
Decision Grade B-

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.

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: 3. Division - Girone 1
  • Fixture: Frigg vs Heming
  • Kickoff: 2026-06-13 14:00:00
  • 1X2 (model): Home 10.0% · Draw 45.0% · Away 45.0%
  • xG (showing): Frigg 1.43 — Heming 1.17 (total xG ≈ 2.6)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • Structural leans (not bets): See the Over/Under and BTTS cards for any directional lean text.
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Historical Recommendation

Historical Decision: Monitor

Outcome: Validated — Pre-match lean validated against the full-time result.

Risk Factors Considered Before Kickoff

  • Price movement: implied probabilities and EV move with odds.
  • Sample / data gaps: low-information leagues widen forecast bands.
  • In-play state: goals and red cards are not modelled here.
  • Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Last Updated

September 27, 2026 (UTC)

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3. Division - Girone 1 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
3. Division - Girone 1 Norway. 3. Division - Girone 1 Predictions