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

Jul 25, 2026 - 14:00
1 1.29
1 1.31
xG Accuracy: 85%

The model missed the final outcome (Draw 1–1).

The model had projected Viking II at 39.6%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade C

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 (2 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Viking II Draw ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 1-1 ✔ Correct

Model vs Closing Market

Moderate Disagreement

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

Largest probability gap: Viking II -8.8 pp

Outcome Model Closing Market Difference Signal
Stabæk II 33.8% 31.9% +1.9 pp Aligned
Draw 26.6% 19.6% +7.0 pp Model Higher
Viking II 39.6% 48.5% -8.8 pp Market Higher

The closing market estimates Viking II's win probability at 48.5%, compared with the model's estimate of 39.6%, a difference of 8.8 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: PRE10.

After full time, the result was Draw 1–1.

Market Assessment

The market and model broadly agree on Viking II. The remaining divergence may reflect differences in team-strength assumptions rather than a directional disagreement.

  • Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What worked

  • Both Teams To Score (Yes) matched the full-time result
  • Under 2.5 goals aligned with the xG profile
  • Exact score 1–1 fell within the model's highlighted bins

What failed

  • 1X2: model leaned Viking II; match finished Draw

Market lesson

The closing market differed from the model on Viking II by 8.8 percentage points (48.4% vs model 39.6%) — 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. Jul 25, 2026 · 21:28 UTC Forecast generated
    • Model 1X2 · Stabæk II 33.8% · Draw 26.6% · Viking II 39.7%
    • xG · Stabæk II 1.29 — Viking II 1.31
  2. Jul 25, 2026 · 13:31 UTC Opening odds snapshot PRE30
    • 1X2 odds · Stabæk II 2.78 · Draw 4.52 · Viking II 1.83
    • Implied 1X2 · Stabæk II 31.9% · Draw 19.6% · Viking II 48.5%
    • Bookmaker · Pinnacle
  3. Jul 25, 2026 · 13:51 UTC Closing snapshot recorded PRE10
    • 1X2 odds · Stabæk II 2.78 · Draw 4.52 · Viking II 1.83
    • Implied 1X2 · Stabæk II 31.9% · Draw 19.6% · Viking II 48.5%
    • Bookmaker · Pinnacle
  4. Jul 25, 2026 · 14:00 UTC Kickoff
  5. FT Full-time result Draw · 1–1
  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: Observe
Historical Decision No Primary Bet
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 75/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 55/100
Betting Confidence 78/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 23, 2026 · 14:06 UTC Snapshot ID: dp-1455842

Closing Odds 1.83
AI Fair Odds —
CLV Pending
Final Result Draw · Stabæk II 1–1 Viking II
Prediction ✖ Missed
Decision Grade C

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: Norwegian 3rd Division Group 4
  • Fixture: Stabæk II vs Viking II
  • Kickoff: 2026-07-25 14:00:00
  • 1X2 (model): Home 35.0% · Draw 35.0% · Away 30.0%
  • xG (showing): Stabæk II 1.29 — Viking II 1.31 (total xG ≈ 2.6)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • Structural leans (not bets): See the Over/Under and BTTS cards for any directional lean text.
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

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.

Prefer skipping to over-staking when the engine is honest about missing edge.

Historical Recommendation

Historical Decision: No Primary Bet

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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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