Statistics / Football / Denmark. Kvindeliga / Køge vs KoldingQ

Køge vs KoldingQ Statistics & Analysis

Sep 26, 2026 - 11:00
4 1.50
1 1.10
xG Accuracy: 49%
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 (5 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Køge Køge ✔ Correct
  • Correct Score Insights 1-1, 1-0, 2-1, 2-0, 0-1 4-1 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Sep 21, 2026 · 00:52 UTC Snapshot ID: dp-10080547

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Køge win · Køge 4–1 KoldingQ
Prediction ✔ Correct
Decision Grade B-

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: Kvindeliga
  • Fixture: Køge vs KoldingQ
  • Kickoff: 2026-09-26 11:00:00
  • 1X2 (model): Home 44.8% · Draw 29.0% · Away 26.2%
  • xG (showing): Køge 1.5 — KoldingQ 1.1 (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 53.4% · No 46.6%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 53.4% · No 46.6%
  • Correct score (top bin): 1-1 (12.3%)

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

September 28, 2026 (UTC)

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Back to Statistics
Kvindeliga Kvindeliga — Standings
# TEAM MP W D L PTS
1 Køge 9 8 0 1 24
2 Nordsjælland 9 6 2 1 20
3 Brøndby 9 5 2 2 17
4 Fortuna Hjørring 9 4 2 3 14
5 Midtjylland W 8 4 2 2 14
6 ASA Aarhus W 9 3 1 5 10
7 KoldingQ 9 3 0 6 9
8 Odense Q 8 2 1 5 7
9 FC Copenhagen W 8 2 0 6 6
10 AGF 8 1 0 7 3
# TEAM MP GS GC +/- PTS
1 Nordsjælland 9 30 10 +20 20
2 Køge 9 28 9 +19 24
3 Brøndby 9 23 7 +16 17
4 Fortuna Hjørring 9 20 12 +8 14
5 KoldingQ 9 18 28 -10 9
6 Midtjylland W 8 13 12 +1 14
7 ASA Aarhus W 9 11 19 -8 10
8 FC Copenhagen W 8 11 29 -18 6
9 AGF 8 6 21 -15 3
10 Odense Q 8 5 18 -13 7