Statistics / Football / Denmark. Superliga / FC Midtjylland vs Brondby

FC Midtjylland vs Brondby Statistics & Analysis

FC Midtjylland FC Midtjylland
Sep 14, 2026 - 17:00
4 1.66
1 1.07
xG Accuracy: 52%
Brondby Brondby
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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 (5 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 FC Midtjylland FC Midtjylland ✔ Correct
  • Correct Score Insights 1-1, 1-0, 2-1, 2-0, 0-1 4-1 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Sep 08, 2026 · 02:32 UTC Snapshot ID: dp-7572644

Closing Odds 1.81
AI Fair Odds —
CLV +0.0%
Final Result FC Midtjylland win · FC Midtjylland 4–1 Brondby
Prediction ✔ Correct
Decision Grade F

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Market intelligence

Supporting read on how the prioritized closing feed moved versus the model — use after the Primary pick above.

Market briefing

Market remained largely stable before kickoff. No meaningful late implied-price shift was detected between PRE30 and PRE1 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Draw (1X2), Brondby (1X2), Under 2.5 goals meaningfully above what those closing snapshots implied — that gap is a static “model vs. price” read, not a late steam or chase story.

The model still exceeds closing implied on Under 2.5 goals by about 9.6 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
FC Midtjylland (1X2) 50.6 53.5 -2.9
Draw (1X2) 26.6 24.8 +1.8
Brondby (1X2) 22.9 21.7 +1.1
Over 2.5 goals 51.4 61.0 -9.6
Under 2.5 goals 48.6 39.0 +9.6
What this means

In plain terms: the model lands near 48.6% on Under 2.5 goals, while the closing snapshot implied about 39.0%. The difference — about 9.6 percentage points — is the largest model-vs.-market gap highlighted on this page.

Quick definitions: “closing implied” is the probability for that outcome implied by the final captured odds (after a simple de-vig). “Gap (pp)” is the model percentage minus that implied value, in percentage points (pp).

Closing-window line move

Single prioritized bookmaker per snapshot (not all books). Capture path: PRE30 → PRE1 · Book: Pinnacle

Column tags in parentheses: Closing uses the first available snapshot in PRE1→PRE5→PRE10→PRE30; Early uses the first available in PRE30→PRE10→PRE5 that is not the same capture as Closing.

Detailed capture odds are folded below — movement was negligible on de-vig implied prices.

View full line-by-line capture table
Market Early (PRE30) Closing (PRE1) Implied Δ (pp)
FC Midtjylland (1X2) 1.81 1.81 0.0
Draw (1X2) 3.9 3.9 0.0
Brondby (1X2) 4.45 4.45 0.0
Over 2.5 goals 1.58 1.58 0.0
Under 2.5 goals 2.47 2.47 0.0

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Superliga
  • Fixture: FC Midtjylland vs Brondby
  • Kickoff: 2026-09-14 17:00:00
  • 1X2 (model): Home 50.6% · Draw 26.6% · Away 22.9%
  • xG (showing): FC Midtjylland 1.66 — Brondby 1.07 (total xG ≈ 2.73)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 48.6% · Implied: 40.0% · Probability edge: +8.6 pts · Est. EV: +19.6%
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

Correct score remains high-variance even when a line is most likely on paper.

Historical Recommendation

Historical Decision: 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
Superliga Superliga — Standings
# TEAM MP W D L PTS
1 FC Copenhagen 9 8 0 1 24
2 FC Midtjylland 9 5 4 0 19
3 Viborg 9 5 2 2 17
4 FC Nordsjaelland 9 5 2 2 17
5 Brondby 9 4 1 4 13
6 AC Horsens 9 3 2 4 11
7 Silkeborg 9 2 4 3 10
8 Randers FC 9 3 1 5 10
9 Odense 9 2 3 4 9
10 Lyngby 9 1 4 4 7
11 Aarhus 9 0 5 4 5
12 Sonderjyske 9 1 2 6 5
# TEAM MP GS GC +/- PTS
1 FC Copenhagen 9 23 8 +15 24
2 FC Midtjylland 9 17 9 +8 19
3 Viborg 9 15 8 +7 17
4 AC Horsens 9 15 16 -1 11
5 FC Nordsjaelland 9 14 10 +4 17
6 Silkeborg 9 12 12 0 10
7 Brondby 9 12 15 -3 13
8 Sonderjyske 9 12 21 -9 5
9 Randers FC 9 11 14 -3 10
10 Aarhus 9 11 17 -6 5
11 Lyngby 9 10 16 -6 7
12 Odense 9 8 14 -6 9
# TEAM MP xG xGC +/- PTS
1 FC Nordsjaelland 9 15.9 7.0 +8.9 17
2 Lyngby 9 12.2 8.1 +4.1 7
3 Viborg 9 9.7 6.4 +3.3 17
4 FC Midtjylland 9 9.3 6.3 +3.0 19
5 Aarhus 9 8.5 6.3 +2.2 5
6 FC Copenhagen 9 6.6 6.3 +0.3 24
7 Brondby 9 8.9 9.8 -0.9 13
8 Odense 9 8.7 9.7 -1.0 9
9 Silkeborg 9 6.2 9.8 -3.6 10
10 AC Horsens 9 7.3 11.3 -4.0 11
11 Randers FC 9 5.8 11.6 -5.8 10
12 Sonderjyske 9 5.9 12.2 -6.3 5