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

Prediction Audit: Eik-Tønsberg vs Træff Prediction, Odds & AI Betting Tips

Eik-Tønsberg Eik-Tønsberg
Aug 09, 2026 - 11:00
0 1.37
1 1.23
xG Accuracy: 64%
Træff Træff

The model missed the final outcome (Træff win 0–1).

The model had projected Eik-Tønsberg at 38.5%, 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 Under 2.5 (1 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Eik-Tønsberg Træff ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 0-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Træff higher than the statistical model.

Largest probability gap: Træff -15.4 pp

Outcome Model Closing Market Difference Signal
Eik-Tønsberg 38.5% 29.4% +9.1 pp Model Higher
Draw 29.6% 23.3% +6.3 pp Model Higher
Træff 31.9% 47.3% -15.4 pp Market Higher

The closing market estimates Træff's win probability at 47.3%, compared with the model's estimate of 31.9%, a difference of 15.4 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 0–1.

Market Assessment

The market is materially more optimistic about Træff 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

  • Under 2.5 goals aligned with the xG profile
  • Exact score 0–1 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • 1X2: model leaned Eik-Tønsberg; match finished Træff

Market lesson

The closing market differed from the model on Eik-Tønsberg by 15.4 percentage points (53.9% vs model 38.5%) — 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. Aug 09, 2026 · 10:59 UTC Forecast generated
    • Model 1X2 · Eik-Tønsberg 38.5% · Draw 29.6% · Træff 31.9%
    • xG · Eik-Tønsberg 1.37 — Træff 1.23
  2. Aug 09, 2026 · 10:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Eik-Tønsberg 3.16 · Draw 3.98 · Træff 1.96
    • Implied 1X2 · Eik-Tønsberg 29.4% · Draw 23.3% · Træff 47.3%
    • Bookmaker · Pinnacle
  3. Aug 09, 2026 · 10:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Eik-Tønsberg 3.16 · Draw 3.98 · Træff 1.96
    • Implied 1X2 · Eik-Tønsberg 29.4% · Draw 23.3% · Træff 47.3%
    • Bookmaker · Pinnacle
  4. Aug 09, 2026 · 11:00 UTC Kickoff
  5. FT Full-time result Træff win · 0–1
  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 55/100 · Moderate
  • Validation: Warning
  • Large market gap (15 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 8/100
Monitoring Confidence 19/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 04, 2026 · 00:54 UTC Snapshot ID: dp-2960864

Closing Odds 1.96
AI Fair Odds —
CLV Pending
Final Result Træff win · Eik-Tønsberg 0–1 Træff
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

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: 2. Division - Group 1
  • Fixture: Eik-Tønsberg vs Træff
  • Kickoff: 2026-08-09 11:00:00
  • 1X2 (model): Home 38.5% · Draw 29.6% · Away 31.9%
  • xG (showing): Eik-Tønsberg 1.37 — Træff 1.23 (total xG ≈ 2.6)
  • Value headline: None (actionable) — best tracked EV is about +0.2%, 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 Yes (Yes 54.4% · No 45.6%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.4% · No 45.6%
  • Correct score (top bin): 1-1 (12.5%)

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 28, 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