Prediction Audit: AB vs Skála Prediction, Odds & AI Betting Tips

Aug 02, 2026 - 14:00
3 1.42
2 1.18
xG Accuracy: 52%

AI correctly predicted the AB win.

The match finished 3–2, 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 (5 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 AB AB ✔ Correct
  • Correct Score Insights 1-1, 1-0, 2-1, 0-1, 2-0 3-2 ✖ Incorrect

Model vs Closing Market

Moderate Disagreement

The closing market prices Skála higher than the statistical model.

Largest probability gap: Skála -6.9 pp

Outcome Model Closing Market Difference Signal
AB 40.9% 39.9% +1.0 pp Aligned
Draw 29.4% 23.5% +5.9 pp Model Higher
Skála 29.7% 36.6% -6.9 pp Market Higher

The closing market estimates Skála's win probability at 36.6%, compared with the model's estimate of 29.7%, a difference of 6.9 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 (AB win 3–2).

Market Assessment

The market and model broadly agree on Skála. 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

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 5 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 (5 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 AB higher (47.8% vs model 40.9%, 6.9 pp), but the model's lean was validated (AB win 3–2).

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Prediction Timeline

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

  1. Aug 02, 2026 · 13:59 UTC Forecast generated
    • Model 1X2 · AB 41.0% · Draw 29.4% · Skála 29.6%
    • xG · AB 1.42 — Skála 1.18
  2. Aug 02, 2026 · 13:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · AB 2.31 · Draw 3.92 · Skála 2.52
    • Implied 1X2 · AB 39.9% · Draw 23.5% · Skála 36.6%
    • Bookmaker · Pinnacle
  3. Aug 02, 2026 · 13:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · AB 2.31 · Draw 3.92 · Skála 2.52
    • Implied 1X2 · AB 39.9% · Draw 23.5% · Skála 36.6%
    • Bookmaker · Pinnacle
  4. Aug 02, 2026 · 14:00 UTC Kickoff
  5. FT Full-time result AB win · 3–2
  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: Observe
Historical Decision No Primary Bet
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 76/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 65/100
Betting Confidence 79/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 27, 2026 · 01:17 UTC Snapshot ID: dp-1947434

Closing Odds 2.52
AI Fair Odds —
CLV Pending
Final Result AB win · AB 3–2 Skála
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: Meistaradeildin
  • Fixture: AB vs Skála
  • Kickoff: 2026-08-02 14:00:00
  • 1X2 (model): Home 41.0% · Draw 29.4% · Away 29.6%
  • xG (showing): AB 1.42 — Skála 1.18 (total xG ≈ 2.6)
  • Value headline: None — no positive EV on tracked lines at current best prices (same as the decision block: 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 Yes (Yes 54.1% · No 45.9%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.1% · No 45.9%
  • Correct score (top bin): 1-1 (12.4%)

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.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Historical Recommendation

Historical Decision: No Primary Bet

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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Meistaradeildin Meistaradeildin — Standings
# TEAM MP W D L PTS
1 NSI Runavik 23 14 6 3 48
2 KI Klaksvik 23 12 9 2 45
3 HB 23 12 5 6 41
4 Vikingur Gota 23 8 11 4 35
5 B36 Torshavn 23 9 8 6 35
6 EB / Streymur 23 7 5 11 26
7 AB 23 7 3 13 24
8 Skála 23 5 8 10 23
9 07 Vestur 23 5 4 14 19
10 B68 23 4 5 14 17
# TEAM MP GS GC +/- PTS
1 NSI Runavik 23 47 26 +21 48
2 KI Klaksvik 23 45 21 +24 45
3 HB 23 44 28 +16 41
4 Vikingur Gota 23 34 27 +7 35
5 B36 Torshavn 23 33 28 +5 35
6 AB 23 31 42 -11 24
7 EB / Streymur 23 30 38 -8 26
8 Skála 23 25 37 -12 23
9 B68 23 24 46 -22 17
10 07 Vestur 23 21 41 -20 19