Prediction Audit: Hinna vs Vindbjart Prediction, Odds & AI Betting Tips

Jul 25, 2026 - 13:00
0 1.32
7 1.28
xG Accuracy: 14%

The model missed the final outcome (Vindbjart win 0–7).

The model had projected Hinna at 36.1%, 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 Over 2.5 (7 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Hinna Vindbjart ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 0-7 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Vindbjart higher than the statistical model.

Largest probability gap: Vindbjart -24.3 pp

Outcome Model Closing Market Difference Signal
Hinna 36.1% 21.1% +15.0 pp Model Edge
Draw 29.6% 20.3% +9.4 pp Model Higher
Vindbjart 34.2% 58.6% -24.3 pp Market Higher

The closing market estimates Vindbjart's win probability at 58.6%, compared with the model's estimate of 34.2%, a difference of 24.3 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 result was Vindbjart win 0–7.

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 Yes; match finished BTTS No
  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (7 goals)

Market lesson

The closing market differed from the model on Hinna by 24.3 percentage points (60.4% vs model 36.1%) — 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 · 20:58 UTC Forecast generated
    • Model 1X2 · Hinna 36.1% · Draw 29.7% · Vindbjart 34.2%
    • xG · Hinna 1.32 — Vindbjart 1.28
  2. Jul 25, 2026 · 12:31 UTC Opening odds snapshot PRE30
    • 1X2 odds · Hinna 4.24 · Draw 4.42 · Vindbjart 1.53
    • Implied 1X2 · Hinna 21.1% · Draw 20.3% · Vindbjart 58.6%
    • Bookmaker · Pinnacle
  3. Jul 25, 2026 · 13:00 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Hinna 4.24 · Draw 4.42 · Vindbjart 1.53
    • Implied 1X2 · Hinna 21.1% · Draw 20.3% · Vindbjart 58.6%
    • Bookmaker · Pinnacle
  4. Jul 25, 2026 · 13:00 UTC Kickoff
  5. FT Full-time result Vindbjart win · 0–7
  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: Cautious / Wait

Historical label: Originally displayed as "Wait for validation".

Historical Decision Wait
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 51/100 · Moderate
  • Validation: Warning
  • Large market gap (24 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Monitoring Confidence 14/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 23, 2026 · 13:57 UTC Snapshot ID: dp-1453675

Closing Odds 1.53
AI Fair Odds —
CLV Pending
Final Result Vindbjart win · Hinna 0–7 Vindbjart
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

Quick read on how the model reads this matchup.

  • League: Norwegian 3rd Division Group 4
  • Fixture: Hinna vs Vindbjart
  • Kickoff: 2026-07-25 13:00:00
  • 1X2 (model): Home 10.0% · Draw 45.0% · Away 45.0%
  • xG (showing): Hinna 1.32 — Vindbjart 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

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.

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

Historical Recommendation

Historical Decision: Wait

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 29, 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