Prediction Audit: Bjarg vs Arendal Prediction, Odds & AI Betting Tips

Sep 06, 2026 - 15:30
4 1.24
0 1.36
xG Accuracy: 32%

The model missed the final outcome (Bjarg win 4–0).

The model had projected Arendal at 38.0%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade F

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 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Arendal Bjarg ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 4-0 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Bjarg higher than the statistical model.

Largest probability gap: Bjarg -19.0 pp

Outcome Model Closing Market Difference Signal
Bjarg 32.4% 51.4% -19.0 pp Market Higher
Draw 29.6% 25.5% +4.1 pp Aligned
Arendal 38.0% 23.1% +14.9 pp Model Edge

The closing market estimates Bjarg's win probability at 51.4%, compared with the model's estimate of 32.4%, a difference of 19.0 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 Bjarg win 4–0.

Market Assessment

The market is materially more optimistic about Bjarg 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) — 4 goals materialised
  • Both Teams To Score (No) matched the full-time result

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (4 goals)
  • 1X2: model leaned Arendal; match finished Bjarg

Market lesson

The closing market differed from the model on Arendal by 19.0 percentage points (57.0% 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 06, 2026 · 15:29 UTC Forecast generated
    • Model 1X2 · Bjarg 32.4% · Draw 29.6% · Arendal 38.0%
    • xG · Bjarg 1.24 — Arendal 1.36
  2. Sep 06, 2026 · 15:03 UTC Opening odds snapshot PRE30
    • 1X2 odds · Bjarg 1.78 · Draw 3.59 · Arendal 3.95
    • Implied 1X2 · Bjarg 51.4% · Draw 25.5% · Arendal 23.1%
    • Bookmaker · Pinnacle
  3. Sep 06, 2026 · 15:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Bjarg 1.78 · Draw 3.59 · Arendal 3.95
    • Implied 1X2 · Bjarg 51.4% · Draw 25.5% · Arendal 23.1%
    • Bookmaker · Pinnacle
  4. Sep 06, 2026 · 15:30 UTC Kickoff
  5. FT Full-time result Bjarg win · 4–0
  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 (19 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 1/100
Monitoring Confidence 19/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 31, 2026 · 07:44 UTC Snapshot ID: dp-6365179

Closing Odds 1.78
AI Fair Odds —
CLV Pending
Final Result Bjarg win · Bjarg 4–0 Arendal
Prediction ✖ Missed
Decision Grade F

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: 2. Division - Group 1
  • Fixture: Bjarg vs Arendal
  • Kickoff: 2026-09-06 15:30:00
  • 1X2 (model): Home 32.4% · Draw 29.6% · Away 38.0%
  • xG (showing): Bjarg 1.24 — Arendal 1.36 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Under 2.5 goals
  • Model: 51.8% · Implied: 38.2% · Probability edge: +13.6 pts · Est. EV: +26.9%
  • BTTS (model): Yes 54.4% · No 45.6%
  • Correct score (top bin): 1-1 (12.5%)

Use the cards for tiering; this text only restates the same inputs in narrative form.

Correct score remains high-variance even when a line is most likely on paper.

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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Back to Predictions
2. Division - Group 1 2. Division - Group 1 — Standings
# TEAM MP W D L PTS
1 jerv 21 16 3 2 51
2 Mjondalen 21 13 2 6 41
3 Sotra 21 12 3 6 39
4 Brattvåg 20 12 3 5 39
5 Bjarg 20 12 2 6 38
6 Notodden 21 10 5 6 35
7 Kvik Halden 20 9 4 7 31
8 Træff 20 8 6 6 30
9 Arendal 20 7 5 8 26
10 Pors Grenland 21 6 5 10 23
11 Sandviken 21 6 4 11 22
12 Lysekloster 21 3 5 13 14
13 Vidar 21 2 4 15 10
14 Eik-Tønsberg 20 2 1 17 7
# TEAM MP GS GC +/- PTS
1 Sotra 21 45 22 +23 39
2 jerv 21 44 18 +26 51
3 Bjarg 20 42 26 +16 38
4 Brattvåg 20 41 24 +17 39
5 Mjondalen 21 39 28 +11 41
6 Træff 20 36 36 0 30
7 Sandviken 21 32 45 -13 22
8 Notodden 21 30 17 +13 35
9 Kvik Halden 20 28 24 +4 31
10 Arendal 20 28 34 -6 26
11 Pors Grenland 21 24 30 -6 23
12 Lysekloster 21 23 45 -22 14
13 Eik-Tønsberg 20 21 47 -26 7
14 Vidar 21 19 56 -37 10