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

Prediction Audit: Vålerenga II vs Bærum Prediction, Odds & AI Betting Tips

Vålerenga II Vålerenga II
Sep 26, 2026 - 12:00
2 1.24
0 1.36
xG Accuracy: 56%
Bærum Bærum

The model missed the final outcome (Vålerenga II win 2–0).

The model had projected Bærum at 38.0%, 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 No No ✔ Correct
  • 1X2 Bærum Vålerenga II ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 2-0 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Bærum higher than the statistical model.

Largest probability gap: Bærum -18.1 pp

Outcome Model Closing Market Difference Signal
Vålerenga II 32.4% 27.3% +5.1 pp Model Higher
Draw 29.6% 16.7% +12.9 pp Model Edge
Bærum 38.0% 56.1% -18.1 pp Market Higher

The closing market estimates Bærum's win probability at 56.1%, compared with the model's estimate of 38.0%, a difference of 18.1 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: PRE5.

After full time, the result was Vålerenga II win 2–0.

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 (No) matched the full-time result
  • Under 2.5 goals aligned with the xG profile

What failed

  • 1X2: model leaned Bærum; match finished Vålerenga II
  • Exact score: outside the model's top score bins

Market lesson

The closing market differed from the model on Bærum by 18.1 percentage points (56.1% vs model 38.0%) — 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. Sep 26, 2026 · 11:55 UTC Forecast generated
    • Model 1X2 · Vålerenga II 32.4% · Draw 29.6% · Bærum 38.0%
    • xG · Vålerenga II 1.24 — Bærum 1.36
  2. Sep 26, 2026 · 11:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · Vålerenga II 3.25 · Draw 5.32 · Bærum 1.58
    • Implied 1X2 · Vålerenga II 27.3% · Draw 16.7% · Bærum 56.1%
    • Bookmaker · Pinnacle
  3. Sep 26, 2026 · 11:55 UTC Closing snapshot recorded PRE5
    • 1X2 odds · Vålerenga II 3.25 · Draw 5.32 · Bærum 1.58
    • Implied 1X2 · Vålerenga II 27.3% · Draw 16.7% · Bærum 56.1%
    • Bookmaker · Pinnacle
  4. Sep 26, 2026 · 12:00 UTC Kickoff
  5. FT Full-time result Vålerenga II win · 2–0
  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 54/100 · Moderate
  • Validation: Warning
  • Large market gap (18 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 9/100
Betting Confidence 43/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 21, 2026 · 00:56 UTC Snapshot ID: dp-10081786

Closing Odds 1.58
AI Fair Odds —
CLV Pending
Final Result Vålerenga II win · Vålerenga II 2–0 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

Quick read on how the model reads this matchup.

  • League: 3. Division - Girone 1
  • Fixture: Vålerenga II vs Bærum
  • Kickoff: 2026-09-26 12:00:00
  • 1X2 (model): Home 32.4% · Draw 29.6% · Away 38.0%
  • xG (showing): Vålerenga II 1.24 — Bærum 1.36 (total xG ≈ 2.6)
  • Value headline: None (actionable) — best tracked EV is about +1.4%, still below the +2.0% minimum for a headline / default stake (no default bet).
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS No (Yes 54.4% · No 45.6%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes 54.4% · No 45.6%
  • Correct score (top bin): 1-1 (12.5%)

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.

Prefer skipping to over-staking when the engine is honest about missing edge.

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

September 29, 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