Predictions / Football / Norway. 2. Division - Group 1 / Bjarg vs Træff

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

Bjarg Bjarg
Sep 20, 2026 - 14:00
6 1.33
1 1.27
xG Accuracy: 26%
Træff Træff

AI correctly predicted the Bjarg win.

The match finished 6–1, validating the model's directional assessment.

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 (7 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Bjarg Bjarg ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 6-1 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Bjarg higher than the statistical model.

Largest probability gap: Bjarg -27.1 pp

Outcome Model Closing Market Difference Signal
Bjarg 36.6% 63.7% -27.1 pp Market Higher
Draw 29.6% 19.9% +9.8 pp Model Higher
Træff 33.8% 16.5% +17.3 pp Model Edge

The closing market estimates Bjarg's win probability at 63.7%, compared with the model's estimate of 36.6%, a difference of 27.1 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: PRE1.

After full time, the model's directional lean matched the result (Bjarg win 6–1).

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 7 goals materialised

What failed

  • Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (7 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Bjarg higher (63.7% vs model 36.6%, 27.1 pp), but the model's lean was validated (Bjarg win 6–1).

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Prediction Timeline

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

  1. Sep 20, 2026 · 13:59 UTC Forecast generated
    • Model 1X2 · Bjarg 36.6% · Draw 29.6% · Træff 33.8%
    • xG · Bjarg 1.33 — Træff 1.27
  2. Sep 20, 2026 · 13:31 UTC Opening odds snapshot PRE30
    • 1X2 odds · Bjarg 1.44 · Draw 4.61 · Træff 5.57
    • Implied 1X2 · Bjarg 63.7% · Draw 19.9% · Træff 16.5%
    • Bookmaker · Pinnacle
  3. Sep 20, 2026 · 13:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Bjarg 1.44 · Draw 4.61 · Træff 5.57
    • Implied 1X2 · Bjarg 63.7% · Draw 19.9% · Træff 16.5%
    • Bookmaker · Pinnacle
  4. Sep 20, 2026 · 14:00 UTC Kickoff
  5. FT Full-time result Bjarg win · 6–1
  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: Cautious / Wait

Historical label: Originally displayed as "Wait for validation".

Historical Decision Wait
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 49/100 · Moderate
  • Validation: Warning
  • Large market gap (27 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market strongly disagrees on price
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 31/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 14, 2026 · 01:51 UTC Snapshot ID: dp-8678326

Closing Odds 1.44
AI Fair Odds —
CLV Pending
Final Result Bjarg win · Bjarg 6–1 Træff
Prediction ✔ Correct
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

Quick read on how the model reads this matchup.

  • League: 2. Division - Group 1
  • Fixture: Bjarg vs Træff
  • Kickoff: 2026-09-20 14:00:00
  • 1X2 (model): Home 36.6% · Draw 29.6% · Away 33.8%
  • xG (showing): Bjarg 1.33 — Træff 1.27 (total xG ≈ 2.6)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • 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 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes 54.5% · No 45.5%
  • 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.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

Historical Recommendation

Historical Decision: Wait

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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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
2. Division - Group 1 Norway. 2. Division - Group 1 Predictions