Predictions / Football / Iceland. 2. Deild / Magni vs Vikingur Olafsiik

Prediction Audit: Magni vs Vikingur Olafsiik Prediction, Odds & AI Betting Tips

Aug 23, 2026 - 14:00
3 1.34
1 1.26
xG Accuracy: 59%

AI correctly predicted the Magni win.

The match finished 3–1, 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 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Magni Magni ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 3-1 ✖ Incorrect

Model vs Closing Market

Moderate Disagreement

The model rates Draw considerably stronger than the closing betting market.

Largest probability gap: Draw +6.8 pp

Outcome Model Closing Market Difference Signal
Magni 37.1% 41.0% -3.9 pp Aligned
Draw 29.6% 22.9% +6.8 pp Model Higher
Vikingur Olafsiik 33.3% 36.2% -2.9 pp Aligned

The statistical model estimates Draw's win probability at 29.6%, compared with the closing market's implied probability of 22.9%, a difference of 6.8 percentage points. This highlights a substantial disagreement between the model's assessment and the market consensus, rather than 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 (Magni win 3–1).

Market Assessment

The fair estimate shows a modest edge over current market pricing on Draw.

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

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 4 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 (4 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 Magni more conservatively (30.3% vs model 37.1%, 6.8 pp), but the model's lean was validated (Magni win 3–1).

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Prediction Timeline

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

  1. Aug 23, 2026 · 14:01 UTC Forecast generated
    • Model 1X2 · Magni 37.0% · Draw 29.6% · Vikingur Olafsiik 33.4%
    • xG · Magni 1.34 — Vikingur Olafsiik 1.26
  2. Aug 23, 2026 · 13:31 UTC Opening odds snapshot PRE30
    • 1X2 odds · Magni 2.21 · Draw 3.96 · Vikingur Olafsiik 2.50
    • Implied 1X2 · Magni 41.0% · Draw 22.9% · Vikingur Olafsiik 36.2%
    • Bookmaker · Pinnacle
  3. Aug 23, 2026 · 14:00 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Magni 2.21 · Draw 3.96 · Vikingur Olafsiik 2.50
    • Implied 1X2 · Magni 41.0% · Draw 22.9% · Vikingur Olafsiik 36.2%
    • Bookmaker · Pinnacle
  4. Aug 23, 2026 · 14:00 UTC Kickoff
  5. FT Full-time result Magni win · 3–1
  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: 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) 66/100
Betting Confidence 79/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 17, 2026 · 01:21 UTC Snapshot ID: dp-4364939

Closing Odds 3.96
AI Fair Odds —
CLV Pending
Final Result Magni win · Magni 3–1 Vikingur Olafsiik
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

Pre-match snapshot for this fixture.

  • League: 2. Deild
  • Fixture: Magni vs Vikingur Olafsiik
  • Kickoff: 2026-08-23 14:00:00
  • 1X2 (model): Home 37.0% · Draw 29.6% · Away 33.4%
  • xG (showing): Magni 1.34 — Vikingur Olafsiik 1.26 (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 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.5%)

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: 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 30, 2026 (UTC)

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2. Deild 2. Deild — Standings
# TEAM MP W D L PTS
1 Haukar 22 15 2 5 47
2 Selfoss 22 13 6 3 45
3 Kári 22 11 9 2 42
4 Dalvík / Reynir 22 9 4 9 31
5 Vikingur Olafsiik 22 9 4 9 31
6 Fjolnir 22 8 6 8 30
7 Fjardabyggd / Leiknir 22 9 2 11 29
8 Kormákur / Hvöt 22 7 6 9 27
9 Magni 22 7 4 11 25
10 Thróttur Vogar 22 7 2 13 23
11 KFG 22 7 1 14 22
12 Hvíti riddarinn 22 3 8 11 17
# TEAM MP GS GC +/- PTS
1 Kári 22 56 29 +27 42
2 Haukar 22 55 32 +23 47
3 Selfoss 22 55 36 +19 45
4 Fjardabyggd / Leiknir 22 51 45 +6 29
5 Fjolnir 22 49 46 +3 30
6 Kormákur / Hvöt 22 42 38 +4 27
7 KFG 22 38 58 -20 22
8 Dalvík / Reynir 22 37 37 0 31
9 Magni 22 35 54 -19 25
10 Vikingur Olafsiik 22 33 41 -8 31
11 Thróttur Vogar 22 33 42 -9 23
12 Hvíti riddarinn 22 28 54 -26 17