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Superliga

Superliga

Danimarca  · Season 2026/27
2026/27 2025/26 2024/25
Matchday 1 of 22 5%

League Table

12 Teams
# Team P W D L GF–GA GD Pts Form
1 FC Midtjylland — Champion 1 1 0 0 3–2 +1 3
V
2 FC Copenhagen — Europa League 1 1 0 0 3–2 +1 3
V
3 Viborg — Conference League 1 1 0 0 1–0 +1 3
V
4 Aarhus 1 0 1 0 1–1 +0 1
P
5 Brondby 1 0 1 0 1–1 +0 1
P
6 FC Nordsjaelland 1 0 1 0 1–1 +0 1
P
7 Randers FC 1 0 1 0 1–1 +0 1
P
8 Silkeborg 1 0 1 0 1–1 +0 1
P
9 AC Horsens 1 0 1 0 1–1 +0 1
P
10 Sonderjyske 1 0 0 1 2–3 -1 0
S
11 Lyngby — Relegation 1 0 0 1 2–3 -1 0
S
12 Odense — Relegation 1 0 0 1 0–1 -1 0
S
1 FC Copenhagen — Champion 1 1 0 0 3–2 +1 3
V
2 Viborg — Europa League 1 1 0 0 1–0 +1 3
V
3 Aarhus — Conference League 1 0 1 0 1–1 +0 1
P
4 AC Horsens 1 0 1 0 1–1 +0 1
P
5 Randers FC 1 0 1 0 1–1 +0 1
P
6 Sonderjyske 1 0 0 1 2–3 -1 0
S
1 FC Midtjylland — Champion 1 1 0 0 3–2 +1 3
V
2 Brondby — Europa League 1 0 1 0 1–1 +0 1
P
3 FC Nordsjaelland — Conference League 1 0 1 0 1–1 +0 1
P
4 Silkeborg 1 0 1 0 1–1 +0 1
P
5 Lyngby 1 0 0 1 2–3 -1 0
S
6 Odense 1 0 0 1 0–1 -1 0
S
Champion Champions League Europa League Conference League Relegation

End of season projections

Monte Carlo simulation · 10,000 simulated seasons · updated 1 Aug 2026
Champion Champions League Europa League Conference League Relegation
# Team Zone probability Projected Pts Schedule Trend
1 FC Midtjylland
36 (16–62)
pos. ~3.7°
C11 · T10
ELO 1545
▲1%
2 FC Copenhagen
37 (13–59)
pos. ~3.4°
C10 · T11
ELO 1541
▼1%
3 Viborg
32 (11–54)
pos. ~6.0°
C10 · T11
ELO 1555
▲0%
4 Aarhus
33 (11–53)
pos. ~5.3°
C10 · T11
ELO 1544
▼3%
5 Brondby
29 (8–53)
pos. ~7.2°
C11 · T10
ELO 1550
▲0%
6 FC Nordsjaelland
32 (10–54)
pos. ~5.7°
C11 · T10
ELO 1545
·
7 Randers FC
25 (7–47)
pos. ~9.1°
C10 · T11
ELO 1563
▲0%
8 Silkeborg
27 (8–51)
pos. ~8.1°
C11 · T10
ELO 1562
▲1%
9 AC Horsens
31 (6–54)
pos. ~6.2°
C10 · T11
ELO 1545
▲0%
10 Sonderjyske
25 (6–48)
pos. ~8.9°
C10 · T11
ELO 1551
▼1%
11 Lyngby
32 (9–53)
pos. ~5.8°
C11 · T10
ELO 1542
▲2%
12 Odense
26 (5–47)
pos. ~8.6°
C11 · T10
ELO 1557
▲1%
% = probability of reaching that zone or better. Each sparkline shows the trend of the most relevant probability for each team over the last 12 daily simulations.

Model & advanced data

Model calibration for this league
Probability band Sample Expected (mid) Actual Δ
50–60%% 8 55.00% 62.5% +7.50%
60–70%% 6 65.00% 50.0% -15.00%
Based on 16 verified predictions · Δ ≤ 5% = excellent calibration
Frequently Asked Questions
What predictions are available for Superliga?
For Superliga, ForzaPitch provides 1X2 win probabilities, expected goals (xG), Over 1.5 and Over 2.5 signals and season projections for title, European qualification and relegation per team.
How accurate are predictions for Superliga?
Accuracy for Superliga is tracked match by match and shown on this page. The model is calibrated specifically for Superliga using per-league historical data.
How are Superliga season projections calculated?
Season projections use 10,000 Monte Carlo simulations of the remaining fixtures, sampling from match probability distributions to estimate title, Champions League, Europa League and relegation probabilities per team.