Statistics / Football / Denmark. Kvindeliga / Nordsjælland vs KoldingQ

Nordsjælland vs KoldingQ Statistics & Analysis

Sep 01, 2026 - 17:00
4 1.45
0 1.15
xG Accuracy: 36%
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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 Over 2.5 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Nordsjælland Nordsjælland ✔ Correct
  • Correct Score Insights 1-1, 1-0, 2-1, 0-1, 2-0 4-0 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Aug 26, 2026 · 02:14 UTC Snapshot ID: dp-5503202

Closing Odds Pending
AI Fair Odds
CLV Pending
Final Result Nordsjælland win · Nordsjælland 4–0 KoldingQ
Prediction ✔ Correct
Decision Grade F

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: Kvindeliga
  • Fixture: Nordsjælland vs KoldingQ
  • Kickoff: 2026-09-01 17:00:00
  • 1X2 (model): Home 42.4% · Draw 29.2% · Away 28.4%
  • xG (showing): Nordsjælland 1.45 — KoldingQ 1.15 (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 53.9% · No 46.1%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 53.9% · No 46.1%
  • Correct score (top bin): 1-1 (12.4%)

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

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 16, 2026 (UTC)

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Kvindeliga KvindeligaStandings
# TEAM MP W D L PTS
1 Køge 7 6 0 1 18
2 Midtjylland W 6 4 2 0 14
3 Nordsjælland 6 4 1 1 13
4 Fortuna Hjørring 7 4 1 2 13
5 Brøndby 7 3 2 2 11
6 ASA Aarhus W 7 3 0 4 9
7 KoldingQ 7 2 0 5 6
8 Odense Q 7 2 0 5 6
9 FC Copenhagen W 7 2 0 5 6
10 AGF 7 1 0 6 3
# TEAM MP GS GC +/- PTS
1 Nordsjælland 6 23 8 +15 13
2 Køge 7 20 8 +12 18
3 Fortuna Hjørring 7 19 7 +12 13
4 Brøndby 7 16 7 +9 11
5 Midtjylland W 6 12 4 +8 14
6 KoldingQ 7 11 22 -11 6
7 ASA Aarhus W 7 10 15 -5 9
8 FC Copenhagen W 7 9 23 -14 6
9 AGF 7 6 19 -13 3
10 Odense Q 7 4 17 -13 6