Gute vs Viggbyholms IK Statistics & Analysis

Sep 12, 2026 - 16:00
3 1.32
0 1.28
xG Accuracy: 44%
Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

Tracked markets vs full-time result

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 Yes No ✖ Incorrect
  • 1X2 Gute Gute ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 3-0 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Sep 07, 2026 · 02:27 UTC Snapshot ID: dp-7461974

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Gute win · Gute 3–0 Viggbyholms IK
Prediction ✔ Correct
Decision Grade F

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Division 2 - Norra Svealand
  • Fixture: Gute vs Viggbyholms IK
  • Kickoff: 2026-09-12 16:00:00
  • 1X2 (model): Home 36.1% · Draw 29.7% · Away 34.2%
  • xG (showing): Gute 1.32 — Viggbyholms IK 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): 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 28, 2026 (UTC)

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Back to Statistics
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