Prediction Audit: Viking II vs Stabæk II Prediction, Odds & AI Betting Tips

Sep 06, 2026 - 11:30
3 1.35
1 1.25
xG Accuracy: 59%

AI correctly predicted the Viking II win.

The match finished 3–1, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade B-

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 Yes Yes ✔ Correct
  • 1X2 Viking II Viking II ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 3-1 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Viking II higher than the statistical model.

Largest probability gap: Viking II -30.1 pp

Outcome Model Closing Market Difference Signal
Viking II 37.5% 67.7% -30.1 pp Market Higher
Draw 29.6% 16.8% +12.8 pp Model Edge
Stabæk II 32.9% 15.5% +17.3 pp Model Edge

The closing market estimates Viking II's win probability at 67.7%, compared with the model's estimate of 37.5%, a difference of 30.1 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 (Viking II win 3–1).

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 4 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 (4 goals)
  • Exact score: outside the model's top score bins

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Viking II higher (67.7% vs model 37.5%, 30.1 pp), but the model's lean was validated (Viking II win 3–1).

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Prediction Timeline

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

  1. Sep 06, 2026 · 11:29 UTC Forecast generated
    • Model 1X2 · Viking II 37.6% · Draw 29.6% · Stabæk II 32.9%
    • xG · Viking II 1.35 — Stabæk II 1.25
  2. Sep 06, 2026 · 11:02 UTC Opening odds snapshot PRE30
    • 1X2 odds · Viking II 1.30 · Draw 5.24 · Stabæk II 5.67
    • Implied 1X2 · Viking II 67.7% · Draw 16.8% · Stabæk II 15.5%
    • Bookmaker · Pinnacle
  3. Sep 06, 2026 · 11:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Viking II 1.30 · Draw 5.24 · Stabæk II 5.67
    • Implied 1X2 · Viking II 67.7% · Draw 16.8% · Stabæk II 15.5%
    • Bookmaker · Pinnacle
  4. Sep 06, 2026 · 11:30 UTC Kickoff
  5. FT Full-time result Viking II win · 3–1
  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 34/100 · Low
  • Validation: Fail
  • Large market gap (30 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market strongly disagrees on price
  • Validation failed
Pricing proximity (inverse gap) 0/100
Monitoring Confidence 9/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 31, 2026 · 01:25 UTC Snapshot ID: dp-6326354

Closing Odds 1.3
AI Fair Odds —
CLV Pending
Final Result Viking II win · Viking II 3–1 Stabæk II
Prediction ✔ Correct
Decision Grade B-

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

Model favours Viking II; market prices Viking II instead — inputs may be missing or stale.

  • Model: Viking II 1.35 xG vs Stabæk II 1.25 → Viking II 37.5%
  • Market: Viking II ~67.7% implied
  • Validation failed — do not treat 1X2 EV as actionable.

Do not act on 1X2 value until validation passes. Structural leans (O/U, BTTS) need separate odds review.

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

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 28, 2026 (UTC)

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Back to Predictions
3. Division - Girone 4 3. Division - Girone 4 — Standings
# TEAM MP W D L PTS
1 Madla 21 13 6 2 45
2 Mandalskameratene 21 12 4 5 40
3 Vindbjart 21 12 2 7 38
4 Varhaug 21 10 6 5 36
5 Flekkerøy 21 11 3 7 36
6 Viking II 21 9 5 7 32
7 Brodd 21 8 3 10 27
8 Stabæk II 21 8 3 10 27
9 Våg 21 8 2 11 26
10 Staal Jørpeland 21 6 5 10 23
11 Odd II 21 6 5 10 23
12 Haugesund II 20 6 4 10 22
13 Hinna 20 5 5 10 20
14 Åkra 21 4 3 14 15
# TEAM MP GS GC +/- PTS
1 Madla 21 57 26 +31 45
2 Viking II 21 51 30 +21 32
3 Mandalskameratene 21 50 33 +17 40
4 Vindbjart 21 49 24 +25 38
5 Flekkerøy 21 43 35 +8 36
6 Stabæk II 21 43 48 -5 27
7 Staal Jørpeland 21 41 52 -11 23
8 Varhaug 21 40 30 +10 36
9 Brodd 21 39 42 -3 27
10 Haugesund II 20 37 55 -18 22
11 Odd II 21 36 49 -13 23
12 Hinna 20 36 57 -21 20
13 Våg 21 31 37 -6 26
14 Åkra 21 27 62 -35 15