Predictions / Football / Norway. 3. Division - Girone 5 / Skjetten vs Skjervøy

Prediction Audit: Skjetten vs Skjervøy Prediction, Odds & AI Betting Tips

Skjetten Skjetten
Sep 22, 2026 - 15:30
6 1.39
1 1.21
xG Accuracy: 27%
Skjervøy Skjervøy

AI correctly predicted the Skjetten 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 Skjetten Skjetten ✔ 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 Skjetten higher than the statistical model.

Largest probability gap: Skjetten -29.3 pp

Outcome Model Closing Market Difference Signal
Skjetten 39.5% 68.7% -29.3 pp Market Higher
Draw 29.5% 16.9% +12.6 pp Model Edge
Skjervøy 31.0% 14.3% +16.7 pp Model Edge

The closing market estimates Skjetten's win probability at 68.7%, compared with the model's estimate of 39.5%, a difference of 29.3 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 (Skjetten 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 Skjetten higher (68.8% vs model 39.5%, 29.3 pp), but the model's lean was validated (Skjetten win 6–1).

Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

Prediction Timeline

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

  1. Sep 22, 2026 · 15:29 UTC Forecast generated
    • Model 1X2 · Skjetten 39.5% · Draw 29.5% · Skjervøy 31.0%
    • xG · Skjetten 1.39 — Skjervøy 1.21
  2. Sep 22, 2026 · 14:59 UTC Opening odds snapshot PRE30
    • 1X2 odds · Skjetten 1.28 · Draw 5.19 · Skjervøy 6.15
    • Implied 1X2 · Skjetten 68.7% · Draw 16.9% · Skjervøy 14.3%
    • Bookmaker · Pinnacle
  3. Sep 22, 2026 · 15:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Skjetten 1.28 · Draw 5.19 · Skjervøy 6.15
    • Implied 1X2 · Skjetten 68.7% · Draw 16.9% · Skjervøy 14.3%
    • Bookmaker · Pinnacle
  4. Sep 22, 2026 · 15:30 UTC Kickoff
  5. FT Full-time result Skjetten 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 48/100 · Moderate
  • Validation: Warning
  • Large market gap (29 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: Aug 23, 2026 · 01:40 UTC Snapshot ID: dp-5127138

Closing Odds 1.28
AI Fair Odds —
CLV Pending
Final Result Skjetten win · Skjetten 6–1 Skjervøy
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

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

  • League: 3. Division - Girone 5
  • Fixture: Skjetten vs Skjervøy
  • Kickoff: 2026-09-22 15:30:00
  • 1X2 (model): Home 39.5% · Draw 29.5% · Away 31.0%
  • xG (showing): Skjetten 1.39 — Skjervøy 1.21 (total xG ≈ 2.6)
  • Value headline: None (actionable) — best tracked EV is about +1.3%, 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 No (Yes 54.3% · No 45.7%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes 54.3% · No 45.7%
  • 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 29, 2026 (UTC)

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3. Division - Girone 5 3. Division - Girone 5 — Standings
# TEAM MP W D L PTS
1 Skedsmo 21 16 1 4 49
2 Harstad 21 12 3 6 39
3 Fløya 21 12 3 6 39
4 Alta 21 11 6 4 39
5 Finnsnes 21 11 2 8 35
6 Skjetten 21 10 3 8 33
7 Fauske Sprint 21 9 4 8 31
8 Lillestrøm II 21 9 0 12 27
9 Kongsvinger II 21 8 2 11 26
10 Skjervøy 21 7 3 11 24
11 Tromsø II 21 6 5 10 23
12 Strømsgodset II 21 7 2 12 23
13 Bossekop 21 5 4 12 19
14 Ulfstind 21 4 2 15 14
# TEAM MP GS GC +/- PTS
1 Lillestrøm II 21 68 53 +15 27
2 Harstad 21 67 33 +34 39
3 Fauske Sprint 21 58 68 -10 31
4 Fløya 21 56 33 +23 39
5 Alta 21 54 31 +23 39
6 Skjetten 21 52 42 +10 33
7 Skedsmo 21 50 25 +25 49
8 Strømsgodset II 21 41 48 -7 23
9 Tromsø II 21 40 38 +2 23
10 Finnsnes 21 39 34 +5 35
11 Kongsvinger II 21 38 58 -20 26
12 Ulfstind 21 36 77 -41 14
13 Bossekop 21 34 70 -36 19
14 Skjervøy 21 33 56 -23 24
3. Division - Girone 5 Norway. 3. Division - Girone 5 Predictions