Statistics / Football / Norway. 1. Division / Moss vs Kongsvinger

Moss vs Kongsvinger Statistics & Analysis

Moss Moss
Oct 05, 2026 - 17:00
0 1.20
2 1.40
xG Accuracy: 61%
Kongsvinger Kongsvinger
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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 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Kongsvinger Kongsvinger ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 0-2 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Sep 29, 2026 · 01:41 UTC Snapshot ID: dp-11672028

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Kongsvinger win · Moss 0–2 Kongsvinger
Prediction ✔ Correct
Decision Grade A

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

AI match briefing

AI Match Summary

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: 1. Division
  • Fixture: Moss vs Kongsvinger
  • Kickoff: 2026-10-05 17:00:00
  • 1X2 (model): Home 30.6% · Draw 29.5% · Away 40.0%
  • xG (showing): Moss 1.2 — Kongsvinger 1.4 (total xG ≈ 2.6)
  • Value headline: None (actionable) — best tracked EV is about +1.3%, still below the +2.0% minimum for a headline / default stake (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 No (Yes 54.3% · No 45.7%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes 54.3% · No 45.7%
  • 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: 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

October 08, 2026 (UTC)

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Back to Statistics
1. Division 1. Division — Standings
# TEAM MP W D L PTS
1 Haugesund 23 17 1 5 52
2 Kongsvinger 23 15 5 3 50
3 Stromsgodset 23 14 6 3 48
4 Stabaek 23 14 3 6 45
5 ODD Ballklubb 23 10 6 7 36
6 Bryne 23 11 2 10 35
7 hodd 23 10 4 9 34
8 Egersund 23 8 5 10 29
9 Ranheim 23 8 4 11 28
10 Lyn 23 8 4 11 28
11 Moss 23 7 4 12 25
12 Strommen 23 7 4 12 25
13 Sandnes ULF 23 7 3 13 24
14 Sogndal 23 6 5 12 23
15 Asane 23 5 5 13 20
16 Raufoss 23 6 1 16 19
# TEAM MP GS GC +/- PTS
1 Haugesund 23 72 39 +33 52
2 Kongsvinger 23 68 35 +33 50
3 Stromsgodset 23 60 31 +29 48
4 Stabaek 23 57 29 +28 45
5 Ranheim 23 56 58 -2 28
6 ODD Ballklubb 23 47 36 +11 36
7 Lyn 23 39 48 -9 28
8 hodd 23 38 45 -7 34
9 Moss 23 38 52 -14 25
10 Sogndal 23 38 53 -15 23
11 Egersund 23 36 44 -8 29
12 Strommen 23 35 52 -17 25
13 Asane 23 34 52 -18 20
14 Bryne 23 32 31 +1 35
15 Sandnes ULF 23 32 42 -10 24
16 Raufoss 23 26 61 -35 19
1. Division Norway. 1. Division Predictions