Prediction Audit: Askøy vs Førde Prediction, Odds & AI Betting Tips

Jun 27, 2026 - 13:00
2 1.32
0 1.28
xG Accuracy: 58%

AI correctly predicted the Askøy win.

The match finished 2–0, 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 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Askøy Askøy ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 2-0 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Askøy higher than the statistical model.

Largest probability gap: Askøy -12.7 pp

Outcome Model Closing Market Difference Signal
Askøy 36.1% 48.8% -12.7 pp Market Higher
Draw 29.6% 22.9% +6.7 pp Model Higher
Førde 34.2% 28.3% +6.0 pp Model Higher

The closing market estimates Askøy's win probability at 48.8%, compared with the model's estimate of 36.1%, a difference of 12.7 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 (Askøy win 2–0).

Market Assessment

The market is materially more optimistic about Askøy 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

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • 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 Askøy higher (48.8% vs model 36.1%, 12.7 pp), but the model's lean was validated (Askøy win 2–0).

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Prediction Timeline

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

  1. Jun 27, 2026 · 20:26 UTC Forecast generated
    • Model 1X2 · Askøy 36.1% · Draw 29.7% · Førde 34.2%
    • xG · Askøy 1.32 — Førde 1.28
  2. Jun 27, 2026 · 12:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Askøy 1.82 · Draw 3.87 · Førde 3.14
    • Implied 1X2 · Askøy 48.8% · Draw 22.9% · Førde 28.3%
    • Bookmaker · Pinnacle
  3. Jun 27, 2026 · 12:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Askøy 1.82 · Draw 3.87 · Førde 3.14
    • Implied 1X2 · Askøy 48.8% · Draw 22.9% · Førde 28.3%
    • Bookmaker · Pinnacle
  4. Jun 27, 2026 · 13:00 UTC Kickoff
  5. FT Full-time result Askøy win · 2–0
  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: Monitor
Historical Decision Monitor
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 57/100 · Moderate
  • Validation: Warning
  • Large market gap (13 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 36/100
Betting Confidence 45/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 07, 2026 · 19:06 UTC Snapshot ID: dp-3206726

Closing Odds 1.82
AI Fair Odds —
CLV Pending
Final Result Askøy win · Askøy 2–0 Førde
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

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

  • League: 3. Division - Girone 3
  • Fixture: Askøy vs Førde
  • Kickoff: 2026-06-27 13:00:00
  • 1X2 (model): Home 10.0% · Draw 45.0% · Away 45.0%
  • xG (showing): Askøy 1.32 — Førde 1.28 (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: Monitor

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 26, 2026 (UTC)

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3. Division - Girone 3 3. Division - Girone 3 — Standings
# TEAM MP W D L PTS
1 Os 20 16 0 4 48
2 Askøy 20 12 6 2 42
3 Djerv 20 12 5 3 41
4 Fana 20 11 2 7 35
5 Brann II 20 9 6 5 33
6 Vard 20 9 5 6 32
7 Sogndal II 20 8 3 9 27
8 Austevoll 20 7 6 7 27
9 Førde 20 8 3 9 27
10 Åsane II 20 4 6 10 18
11 Stord 20 3 9 8 18
12 Gneist 20 5 3 12 18
13 Varegg 20 4 5 11 17
14 Fyllingsdalen 20 1 3 16 6
# TEAM MP GS GC +/- PTS
1 Os 20 72 35 +37 48
2 Fana 20 54 40 +14 35
3 Sogndal II 20 53 41 +12 27
4 Vard 20 52 38 +14 32
5 Djerv 20 51 29 +22 41
6 Brann II 20 49 39 +10 33
7 Askøy 20 39 22 +17 42
8 Austevoll 20 38 47 -9 27
9 Stord 20 38 56 -18 18
10 Gneist 20 36 56 -20 18
11 Åsane II 20 34 45 -11 18
12 Førde 20 33 44 -11 27
13 Varegg 20 29 40 -11 17
14 Fyllingsdalen 20 16 62 -46 6