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

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

Frigg Frigg
Jun 27, 2026 - 12:00
1 1.35
1 1.25
xG Accuracy: 85%
Bærum Bærum

The model missed the final outcome (Draw 1–1).

The model had projected Frigg at 37.5%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade C

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Frigg Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 1-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Bærum higher than the statistical model.

Largest probability gap: Bærum -10.2 pp

Outcome Model Closing Market Difference Signal
Frigg 37.5% 34.9% +2.6 pp Aligned
Draw 29.6% 22.1% +7.5 pp Model Higher
Bærum 32.9% 43.0% -10.2 pp Market Higher

The closing market estimates Bærum's win probability at 43.0%, compared with the model's estimate of 32.9%, a difference of 10.2 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 Draw 1–1.

Market Assessment

The market is materially more optimistic about Bærum 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

  • Both Teams To Score (Yes) matched the full-time result
  • Under 2.5 goals aligned with the xG profile
  • Exact score 1–1 fell within the model's highlighted bins

What failed

  • 1X2: model leaned Frigg; match finished Draw

Market lesson

The closing market differed from the model on Frigg by 10.2 percentage points (47.7% vs model 37.5%) — in this case the market view proved closer.

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Prediction Timeline

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

  1. Jun 27, 2026 · 20:13 UTC Forecast generated
    • Model 1X2 · Frigg 37.6% · Draw 29.6% · Bærum 32.9%
    • xG · Frigg 1.35 — Bærum 1.25
  2. Jun 27, 2026 · 11:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Frigg 2.49 · Draw 3.94 · Bærum 2.02
    • Implied 1X2 · Frigg 34.9% · Draw 22.1% · Bærum 43.0%
    • Bookmaker · Pinnacle
  3. Jun 27, 2026 · 11:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Frigg 2.49 · Draw 3.94 · Bærum 2.02
    • Implied 1X2 · Frigg 34.9% · Draw 22.1% · Bærum 43.0%
    • Bookmaker · Pinnacle
  4. Jun 27, 2026 · 12:00 UTC Kickoff
  5. FT Full-time result Draw · 1–1
  6. FT Prediction missed 1X2 lean did not match 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 Missed
Pre-match metrics (historical context)
Prediction Reliability 58/100 · Moderate
  • Validation: Warning
  • Large market gap (10 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 17/100
Monitoring Confidence 20/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 27, 2026 · 05:35 UTC Snapshot ID: dp-1964256

Closing Odds 2.02
AI Fair Odds —
CLV Pending
Final Result Draw · Frigg 1–1 Bærum
Prediction ✖ Missed
Decision Grade C

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 Bærum
  • Kickoff: 2026-06-27 12:00:00
  • 1X2 (model): Home 10.0% · Draw 45.0% · Away 45.0%
  • xG (showing): Frigg 1.35 — Bærum 1.25 (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

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

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: Missed — Pre-match 1X2 lean did not match 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

October 05, 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 21 10 2 9 32
9 KFUM II 21 7 3 11 24
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 21 42 59 -17 24
9 Ullern 21 39 57 -18 20
10 Lokomotiv Oslo 21 39 61 -22 23
11 Union Carl Berner 21 36 31 +5 32
12 Nordstrand 21 36 48 -12 20
13 SF Grei 21 36 69 -33 16
14 Konnerud 21 29 54 -25 16
3. Division - Girone 1 Norway. 3. Division - Girone 1 Predictions