Prediction Audit: Lidingö vs Helges Prediction, Odds & AI Betting Tips

Sep 13, 2026 - 13:45
2 1.32
1 1.28
xG Accuracy: 77%

AI correctly predicted the Lidingö win.

The match finished 2–1, 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 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Lidingö Lidingö ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 2-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Lidingö higher than the statistical model.

Largest probability gap: Lidingö -18.8 pp

Outcome Model Closing Market Difference Signal
Lidingö 36.1% 54.9% -18.8 pp Market Higher
Draw 29.6% 20.4% +9.3 pp Model Higher
Helges 34.2% 24.8% +9.4 pp Model Higher

The closing market estimates Lidingö's win probability at 54.9%, compared with the model's estimate of 36.1%, a difference of 18.8 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 (Lidingö win 2–1).

Market Assessment

The market is materially more optimistic about Lidingö 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

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 3 goals materialised
  • Exact score 2–1 fell within the model's highlighted bins

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 (3 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Lidingö higher (54.9% vs model 36.1%, 18.8 pp), but the model's lean was validated (Lidingö win 2–1).

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Prediction Timeline

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

  1. Sep 13, 2026 · 13:44 UTC Forecast generated
    • Model 1X2 · Lidingö 36.1% · Draw 29.7% · Helges 34.2%
    • xG · Lidingö 1.32 — Helges 1.28
  2. Sep 13, 2026 · 13:14 UTC Opening odds snapshot PRE30
    • 1X2 odds · Lidingö 1.64 · Draw 4.42 · Helges 3.63
    • Implied 1X2 · Lidingö 54.9% · Draw 20.4% · Helges 24.8%
    • Bookmaker · Pinnacle
  3. Sep 13, 2026 · 13:44 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Lidingö 1.64 · Draw 4.42 · Helges 3.63
    • Implied 1X2 · Lidingö 54.9% · Draw 20.4% · Helges 24.8%
    • Bookmaker · Pinnacle
  4. Sep 13, 2026 · 13:45 UTC Kickoff
  5. FT Full-time result Lidingö win · 2–1
  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: Monitor
Historical Decision Monitor
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 54/100 · Moderate
  • Validation: Warning
  • Large market gap (19 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 6/100
Betting Confidence 43/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 07, 2026 · 01:40 UTC Snapshot ID: dp-7441106

Closing Odds 1.64
AI Fair Odds —
CLV Pending
Final Result Lidingö win · Lidingö 2–1 Helges
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

Pre-match snapshot for this fixture.

  • League: Division 2 - Norra Svealand
  • Fixture: Lidingö vs Helges
  • Kickoff: 2026-09-13 13:45:00
  • 1X2 (model): Home 36.1% · Draw 29.7% · Away 34.2%
  • xG (showing): Lidingö 1.32 — Helges 1.28 (total xG ≈ 2.6)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • 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 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes 54.5% · No 45.5%
  • 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.

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 28, 2026 (UTC)

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Division 2 - Norra Svealand Division 2 - Norra Svealand — Standings
# TEAM MP W D L PTS
1 Skiljebo 23 16 5 2 53
2 Sunnersta 23 15 5 3 50
3 Angby 22 13 6 3 45
4 Enskede 22 13 4 5 43
5 Falu BS 22 12 5 5 41
6 Täby 23 11 5 7 38
7 Gute 23 9 5 9 32
8 Bollstanäs 22 7 7 8 28
9 Franke 22 7 4 11 25
10 Lidingö 23 5 5 13 20
11 Kungsängen 22 3 10 9 19
12 Viggbyholms IK 23 5 4 14 19
13 Korsnäs 23 3 5 15 14
14 Helges 23 2 4 17 10
# TEAM MP GS GC +/- PTS
1 Sunnersta 23 57 19 +38 50
2 Skiljebo 23 54 24 +30 53
3 Angby 22 46 25 +21 45
4 Täby 23 39 25 +14 38
5 Bollstanäs 22 38 42 -4 28
6 Gute 23 37 33 +4 32
7 Enskede 22 36 23 +13 43
8 Falu BS 22 35 25 +10 41
9 Franke 22 35 39 -4 25
10 Lidingö 23 26 48 -22 20
11 Kungsängen 22 24 34 -10 19
12 Korsnäs 23 24 54 -30 14
13 Viggbyholms IK 23 23 46 -23 19
14 Helges 23 20 57 -37 10