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

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

Træff Træff
Aug 02, 2026 - 12:00
3 1.29
2 1.31
xG Accuracy: 52%
jerv jerv

The model missed the final outcome (Træff win 3–2).

The model had projected jerv at 35.6%, 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 (5 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 jerv Træff ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 3-2 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices jerv higher than the statistical model.

Largest probability gap: jerv -11.2 pp

Outcome Model Closing Market Difference Signal
Træff 34.7% 27.7% +7.0 pp Model Higher
Draw 29.6% 25.5% +4.1 pp Aligned
jerv 35.6% 46.8% -11.2 pp Market Higher

The closing market estimates jerv's win probability at 46.8%, compared with the model's estimate of 35.6%, a difference of 11.2 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 Træff win 3–2.

Market Assessment

The market is materially more optimistic about jerv 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)
  • 1X2: model leaned jerv; match finished Træff

Market lesson

The closing market differed from the model on jerv by 11.2 percentage points (46.8% vs model 35.6%) — 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. Aug 02, 2026 · 11:59 UTC Forecast generated
    • Model 1X2 · Træff 34.7% · Draw 29.7% · jerv 35.6%
    • xG · Træff 1.29 — jerv 1.31
  2. Aug 02, 2026 · 11:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Træff 3.35 · Draw 3.63 · jerv 1.98
    • Implied 1X2 · Træff 27.7% · Draw 25.5% · jerv 46.8%
    • Bookmaker · Pinnacle
  3. Aug 02, 2026 · 11:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Træff 3.35 · Draw 3.63 · jerv 1.98
    • Implied 1X2 · Træff 27.7% · Draw 25.5% · jerv 46.8%
    • Bookmaker · Pinnacle
  4. Aug 02, 2026 · 12:00 UTC Kickoff
  5. FT Full-time result Træff win · 3–2
  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 57/100 · Moderate
  • Validation: Warning
  • Large market gap (11 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 44/100
Betting Confidence 45/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 27, 2026 · 00:59 UTC Snapshot ID: dp-1943165

Closing Odds 1.98
AI Fair Odds —
CLV Pending
Final Result Træff win · Træff 3–2 jerv
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

Quick read on how the model reads this matchup.

  • League: 2. Division - Group 1
  • Fixture: Træff vs jerv
  • Kickoff: 2026-08-02 12:00:00
  • 1X2 (model): Home 34.7% · Draw 29.7% · Away 35.6%
  • xG (showing): Træff 1.29 — jerv 1.31 (total xG ≈ 2.6)
  • Value headline: None — no positive EV on tracked lines at current best prices (same as the decision block: 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 Yes (Yes 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.6%)

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

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

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 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