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2025-26 Superliga Season

192 games · 2 promotion-playoff teams · 100,000 simulations

Final

Champion

Aarhus GF

67 points

Relegated

No relegation

Biggest Overachiever

Silkeborg

5.58 points above expected

36 points · 30.42 expected points

Biggest Disappointment

Midtjylland

9.54 points below expected

60 points · 69.54 expected points

League Table

The final standings for the season. vsSim shows actual points minus the simulation's mean — positive means the team overachieved against the model, negative means they underperformed.

# Team GP W D L Pts GF GA GD SimPts vsSim
1 Aarhus GF 22 15 5 2 50 45 23 +22 34.2 +15.78
2 Midtjylland 22 13 7 2 46 58 23 +35 38.4 +7.65
3 Sonderjyske 22 10 6 6 36 34 28 +6 28.1 +7.90
4 Brondby 22 10 4 8 34 31 22 +9 34.8 -0.84
5 Viborg 22 10 3 9 33 37 35 +2 29.8 +3.21
6 Nordsjaelland 22 10 1 11 31 37 39 -2 30.0 +0.99
7 FC Copenhagen 22 8 5 9 29 35 34 +1 37.5 -8.52
8 Odense 22 7 6 9 27 36 46 -10 26.1 +0.86
9 Randers 22 7 5 10 26 22 27 -5 29.2 -3.25
10 Fredericia 22 7 3 12 24 30 49 -19 24.6 -0.55
11 Silkeborg 22 5 4 13 19 24 44 -20 27.6 -8.55
12 Vejle BK 22 3 5 14 14 26 45 -19 24.0 -10.04
# Team GP W D L Pts GF GA GD SimPts vsSim
1 Aarhus GF 32 19 10 3 67 61 32 +29 71.4 -4.37
2 Midtjylland 32 16 12 4 60 72 36 +36 69.5 -9.54
3 Nordsjaelland 32 15 5 12 50 51 46 +5 45.2 +4.78
4 Brondby 32 13 6 13 45 44 35 +9 49.1 -4.09
5 Viborg 32 13 5 14 44 49 51 -2 47.5 -3.48
6 Sonderjyske 32 12 8 12 44 44 49 -5 52.1 -8.14
7 Randers 32 9 8 15 35 33 47 -14 37.4 -2.36
8 FC Copenhagen 32 15 6 11 51 67 44 +23 46.5 +4.50
9 Odense 32 11 8 13 41 51 60 -9 42.0 -1.02
10 Silkeborg 32 10 6 16 36 41 66 -25 30.4 +5.58
11 Fredericia 32 9 7 16 34 45 68 -23 36.1 -2.13
12 Vejle BK 32 5 9 18 24 36 60 -24 24.5 -0.51

Form

Each team's 5-game rolling points-per-game across the season. Hot streaks push above the dashed 1.5 PPG reference line; cold spells drop below. Each team gets a distinct color; the legend below the plot lets you read off which line is which. (First 4 games of each team have no rolling window, so the lines start at game 5.)

League Race

Cumulative points across the season for each team. Highlighted teams are drawn in color (top finishers for the Title Race, bottom finishers for the Relegation Race); the rest of the league appears in light gray as context. Switch views with the buttons below.

Promotion Playoff

The path the promotion-playoff teams took to determine the final promotion spot. The full Promotion / Relegation tab has matchup heatmaps and round-by-round simulation outcomes.

Finals

FC Copenhagen 3
Brondby 1

Season Summary

Every team's regular-season finish compared against 100,000 simulations. Click any column header to sort. Luck is the team's actual points minus the sim's mean — positive means the team beat the model. Percentile is where the actual result fell in the team's sim distribution (e.g. 90% = the team did this well or better in only 10% of sims).

Team Elo Points Avg Luck Percentile Min 5th Q1 Median Q3 95th Max
Midtjylland 1858 60 38.35 +21.65 91.1% 15 28 34 38 42 48 59
Aarhus GF 1832 67 34.22 +32.78 99.7% 11 24 30 34 38 44 55
FC Copenhagen 1827 51 37.52 +13.48 9.4% 15 27 34 38 42 47 58
Nordsjaelland 1765 50 30.01 +19.99 59.9% 9 20 26 30 34 40 56
Brondby 1749 45 34.84 +10.16 48.1% 13 25 31 35 39 45 58
Viborg 1727 44 29.79 +14.21 73.1% 6 20 26 30 34 40 53
Sonderjyske 1694 44 28.10 +15.90 92.0% 9 18 24 28 32 38 51
Odense 1672 41 26.14 +14.86 59.4% 5 16 22 26 30 36 54
Randers 1655 35 29.25 +5.75 32.8% 9 19 25 29 33 39 49
Silkeborg 1638 36 27.55 +8.45 8.9% 8 18 23 27 32 38 52
Fredericia 1610 34 24.55 +9.45 50.2% 5 15 20 24 28 34 52
Vejle BK 1607 24 24.04 -0.04 4.8% 6 15 20 24 28 34 49

Head-to-Head

Each cell shows a team's record in that matchup (row vs column, formatted W-D-L) with the model's expected points on the line below. Navy-tinted cells mean the team beat the model's expectations by more than one point in that matchup; gold-tinted cells mean they fell short by the same margin.

Beat expectations Fell short Within expectations
Team AG BRO FC FRE MID NOR ODE RAN SIL SON VB VIB
Aarhus GF —
2-2-0
5.92
2-0-0
2.35
1-1-0
3.68
0-3-1
4.66
2-2-0
6.43
2-0-0
3.30
1-0-1
3.16
2-0-0
3.36
1-2-1
6.69
2-0-0
3.75
4-0-0
6.47
Brondby
0-2-2
5.08
 —
1-0-1
2.49
1-0-1
3.82
1-1-2
4.24
2-1-1
6.09
2-0-0
3.53
1-1-0
3.24
2-0-0
3.18
1-1-2
6.65
1-0-1
3.67
1-0-3
6.18
FC Copenhagen
0-0-2
3.17
1-0-1
3.00
 —
2-1-1
7.77
0-1-1
2.57
1-0-1
3.29
1-2-1
7.09
3-0-1
6.98
2-1-1
7.26
1-0-1
3.55
3-0-1
7.91
1-1-0
3.44
Fredericia
0-1-1
1.87
1-0-1
1.77
1-1-2
3.39
 —
0-1-1
1.82
0-0-2
2.27
0-0-4
4.86
2-1-1
4.55
3-1-0
4.88
1-0-1
2.71
1-2-1
5.55
0-0-2
2.33
Midtjylland
1-3-0
6.35
2-1-1
6.84
1-1-0
2.95
1-1-0
3.74
 —
1-1-2
7.23
1-1-0
3.66
2-0-0
3.56
2-0-0
3.78
2-1-1
7.50
2-0-0
3.67
1-3-0
7.20
Nordsjaelland
0-2-2
4.59
1-1-2
4.92
1-0-1
2.22
2-0-0
3.25
2-1-1
3.87
 —
1-0-1
3.16
1-0-1
2.85
1-0-1
2.87
3-0-1
5.89
1-1-0
3.34
2-0-2
5.52
Odense
0-0-2
2.24
0-0-2
2.00
1-2-1
3.99
4-0-0
6.14
0-1-1
1.89
1-0-1
2.35
 —
2-2-0
5.15
0-1-3
5.53
0-1-1
2.43
1-1-2
6.34
2-0-0
2.48
Randers
1-0-1
2.34
0-1-1
2.28
1-0-3
4.09
1-1-2
6.48
0-0-2
1.98
1-0-1
2.64
0-2-2
5.84
 —
1-1-2
5.98
1-1-0
2.79
2-2-0
6.56
1-0-1
2.79
Silkeborg
0-0-2
2.16
0-0-2
2.32
1-1-2
3.83
0-1-3
6.12
0-0-2
1.78
1-0-1
2.62
3-1-0
5.46
2-1-1
5.03
 —
0-0-2
2.62
2-2-0
6.17
1-0-1
2.42
Sonderjyske
1-2-1
4.36
2-1-1
4.38
1-0-1
1.98
1-0-1
2.79
1-1-2
3.62
1-0-3
5.10
1-1-0
3.08
0-1-1
2.71
2-0-0
2.90
 —
1-1-0
3.09
1-1-2
5.05
Vejle BK
0-0-2
1.81
1-0-1
1.88
1-0-3
3.27
1-2-1
5.45
0-0-2
1.89
0-1-1
2.20
2-1-1
4.67
0-2-2
4.47
0-2-2
4.83
0-1-1
2.42
 —
0-0-2
2.29
Viborg
0-0-4
4.56
3-0-1
4.83
0-1-1
2.09
2-0-0
3.17
0-3-1
3.88
2-0-2
5.47
0-0-2
3.02
1-0-1
2.71
1-0-1
3.08
2-1-1
5.96
2-0-0
3.22
 —

Goal Differential vs Points

Each team plotted by their final goal differential (x) and final point total (y). Teams above the broad trend (more points than their GD would suggest) were efficient at narrow wins; teams below took more lopsided losses than their results imply.

Scoreline Distribution

Percentage of games ending with each combination of team-goals (rows) and opponent-goals (columns). The diagonal shows draws; cells below the diagonal are wins from the row team's perspective, cells above are losses. Marginal totals on the right and bottom show how often each goal count occurred regardless of opponent. Use the picker to switch between the league-wide view and any individual team.

↓ Scored | Allowed →012345+Total
05.73%6.25%5.99%2.60%1.04%1.56%23.18%
16.25%9.38%10.42%2.34%1.56%1.04%30.99%
25.99%10.42%4.17%3.65%0.78%1.04%26.04%
32.60%2.34%3.65%4.17%——12.76%
41.04%1.56%0.78%———3.39%
5+1.56%1.04%1.04%———3.65%
Total23.18%30.99%26.04%12.76%3.39%3.65%100%

Summary Statistics

Mean scored1.55
Mean allowed1.55
StdDev scored1.32
StdDev allowed1.32
Mean total goals/game3.09
Correlation (home vs away score)-0.098
Sample size (games)192
↓ Scored | Allowed →012345+Total
09.38%—————9.38%
112.50%18.75%6.25%———37.50%
26.25%21.88%—3.12%——31.25%
3—3.12%3.12%3.12%——9.38%
4—3.12%————3.12%
5+—3.12%6.25%———9.38%
Total28.12%50.00%15.62%6.25%——100%

Aarhus GF — Summary Statistics

Mean scored1.91
Mean allowed1.00
StdDev scored1.44
StdDev allowed0.84
Mean total goals/game2.91
Correlation (scored vs allowed)0.477
Games played32
↓ Scored | Allowed →012345+Total
012.50%12.50%9.38%3.12%——37.50%
16.25%3.12%9.38%6.25%——25.00%
212.50%6.25%————18.75%
33.12%—3.12%3.12%——9.38%
4—3.12%————3.12%
5+3.12%3.12%————6.25%
Total37.50%28.12%21.88%12.50%——100%

Brondby — Summary Statistics

Mean scored1.38
Mean allowed1.09
StdDev scored1.56
StdDev allowed1.06
Mean total goals/game2.47
Correlation (scored vs allowed)-0.139
Games played32
↓ Scored | Allowed →012345+Total
03.12%—9.38%———12.50%
13.12%6.25%18.75%3.12%——31.25%
26.25%9.38%3.12%3.12%——21.88%
33.12%3.12%6.25%6.25%——18.75%
43.12%3.12%————6.25%
5+6.25%3.12%————9.38%
Total25.00%25.00%37.50%12.50%——100%

FC Copenhagen — Summary Statistics

Mean scored2.09
Mean allowed1.38
StdDev scored1.63
StdDev allowed1.01
Mean total goals/game3.47
Correlation (scored vs allowed)-0.335
Games played32
↓ Scored | Allowed →012345+Total
0—3.12%12.50%9.38%3.12%3.12%31.25%
13.12%6.25%3.12%3.12%3.12%—18.75%
23.12%9.38%9.38%9.38%——31.25%
3—3.12%6.25%6.25%——15.62%
4—3.12%————3.12%
5+———————
Total6.25%25.00%31.25%28.12%6.25%3.12%100%

Fredericia — Summary Statistics

Mean scored1.41
Mean allowed2.12
StdDev scored1.19
StdDev allowed1.16
Mean total goals/game3.53
Correlation (scored vs allowed)-0.273
Games played32
↓ Scored | Allowed →012345+Total
012.50%6.25%————18.75%
1—9.38%3.12%———12.50%
29.38%15.62%3.12%3.12%——31.25%
3—3.12%—12.50%——15.62%
46.25%3.12%3.12%———12.50%
5+3.12%3.12%3.12%———9.38%
Total31.25%40.62%12.50%15.62%——100%

Midtjylland — Summary Statistics

Mean scored2.25
Mean allowed1.12
StdDev scored1.68
StdDev allowed1.04
Mean total goals/game3.38
Correlation (scored vs allowed)0.221
Games played32
↓ Scored | Allowed →012345+Total
03.12%9.38%3.12%3.12%—3.12%21.88%
112.50%9.38%6.25%3.12%——31.25%
23.12%15.62%—3.12%6.25%—28.12%
33.12%—3.12%3.12%——9.38%
4—3.12%————3.12%
5+6.25%—————6.25%
Total28.12%37.50%12.50%12.50%6.25%3.12%100%

Nordsjaelland — Summary Statistics

Mean scored1.59
Mean allowed1.44
StdDev scored1.36
StdDev allowed1.46
Mean total goals/game3.03
Correlation (scored vs allowed)-0.200
Games played32
↓ Scored | Allowed →012345+Total
03.12%6.25%——3.12%—12.50%
13.12%12.50%12.50%3.12%6.25%6.25%43.75%
23.12%6.25%6.25%3.12%——18.75%
33.12%9.38%6.25%3.12%——21.88%
4——3.12%———3.12%
5+———————
Total12.50%34.38%28.12%9.38%9.38%6.25%100%

Odense — Summary Statistics

Mean scored1.59
Mean allowed1.88
StdDev scored1.07
StdDev allowed1.39
Mean total goals/game3.47
Correlation (scored vs allowed)-0.144
Games played32
↓ Scored | Allowed →012345+Total
012.50%6.25%9.38%3.12%—3.12%34.38%
19.38%6.25%12.50%3.12%—3.12%34.38%
23.12%9.38%6.25%6.25%——25.00%
36.25%—————6.25%
4———————
5+———————
Total31.25%21.88%28.12%12.50%—6.25%100%

Randers — Summary Statistics

Mean scored1.03
Mean allowed1.47
StdDev scored0.93
StdDev allowed1.39
Mean total goals/game2.50
Correlation (scored vs allowed)-0.111
Games played32
↓ Scored | Allowed →012345+Total
03.12%9.38%9.38%3.12%6.25%6.25%37.50%
1—9.38%6.25%3.12%3.12%—21.88%
23.12%9.38%3.12%—3.12%—18.75%
33.12%6.25%6.25%3.12%——18.75%
4——3.12%———3.12%
5+———————
Total9.38%34.38%28.12%9.38%12.50%6.25%100%

Silkeborg — Summary Statistics

Mean scored1.28
Mean allowed2.06
StdDev scored1.25
StdDev allowed1.56
Mean total goals/game3.34
Correlation (scored vs allowed)-0.290
Games played32
↓ Scored | Allowed →012345+Total
06.25%6.25%6.25%——3.12%21.88%
16.25%9.38%12.50%—3.12%—31.25%
29.38%9.38%9.38%3.12%—3.12%34.38%
36.25%—6.25%———12.50%
4———————
5+———————
Total28.12%25.00%34.38%3.12%3.12%6.25%100%

Sonderjyske — Summary Statistics

Mean scored1.38
Mean allowed1.53
StdDev scored0.98
StdDev allowed1.54
Mean total goals/game2.91
Correlation (scored vs allowed)-0.094
Games played32
↓ Scored | Allowed →012345+Total
0—6.25%9.38%9.38%——25.00%
13.12%18.75%18.75%—3.12%3.12%46.88%
26.25%3.12%6.25%3.12%—3.12%21.88%
3———3.12%——3.12%
43.12%—————3.12%
5+———————
Total12.50%28.12%34.38%15.62%3.12%6.25%100%

Vejle BK — Summary Statistics

Mean scored1.12
Mean allowed1.88
StdDev scored0.94
StdDev allowed1.29
Mean total goals/game3.00
Correlation (scored vs allowed)-0.146
Games played32
↓ Scored | Allowed →012345+Total
03.12%9.38%3.12%———15.62%
115.62%3.12%15.62%3.12%——37.50%
26.25%9.38%3.12%6.25%—6.25%31.25%
33.12%—3.12%6.25%——12.50%
4———————
5+——3.12%———3.12%
Total28.12%21.88%28.12%15.62%—6.25%100%

Viborg — Summary Statistics

Mean scored1.53
Mean allowed1.59
StdDev scored1.11
StdDev allowed1.48
Mean total goals/game3.12
Correlation (scored vs allowed)0.274
Games played32

Top Overachievers & Disappointments

Teams that most beat — or most fell short of — their simulated point projections. A positive vsSim means the team accumulated more points than the model expected on average; a negative one means fewer.

Biggest Overachievers

# Team Actual Sim vsSim
1 Silkeborg 36 30.4 +5.58
2 Nordsjaelland 50 45.2 +4.78
3 FC Copenhagen 51 46.5 +4.50
4 Vejle BK 24 24.5 -0.51
5 Odense 41 42.0 -1.02

Biggest Disappointments

# Team Actual Sim vsSim
1 Midtjylland 60 69.5 -9.54
2 Sonderjyske 44 52.1 -8.14
3 Aarhus GF 67 71.4 -4.37
4 Brondby 45 49.1 -4.09
5 Viborg 44 47.5 -3.48

Top Streaks

Ranked by model unlikelihood — the product of pregame W/D/L probabilities over the games in each team's streak. A short streak by a poor team can outrank a longer one by a strong team since the poor team's per-game probabilities were lower going in. Unbeaten counts W or D consecutively; Winless counts L or D consecutively.

Longest Winning Streaks

# Team Games Dates Probability
1 Aarhus GF 8 Aug 8 – Oct 5 1 in 1,378
2 Sonderjyske 3 Nov 2 – Nov 23 1 in 31
3 Silkeborg 3 Apr 22 – May 3 1 in 23
4 FC Copenhagen 5 Apr 5 – Apr 27 1 in 22
5 Nordsjaelland 3 Aug 25 – Sep 14 1 in 21

Longest Losing Streaks

# Team Games Dates Probability
1 Fredericia 8 Sep 19 – Nov 23 1 in 325
2 FC Copenhagen 4 Nov 30 – Feb 14 1 in 71
3 Brondby 3 Nov 23 – Dec 8 1 in 68
4 Silkeborg 5 Dec 7 – Mar 1 1 in 49
5 Nordsjaelland 4 Jul 27 – Aug 15 1 in 44

Longest Unbeaten Streaks

# Team Games Dates Probability
1 Aarhus GF 12 Aug 3 – Nov 3 1 in 230
2 Sonderjyske 8 Oct 3 – Dec 7 1 in 76
3 Viborg 8 Oct 26 – Feb 15 1 in 55
4 Nordsjaelland 6 Mar 15 – Apr 23 1 in 29
5 Fredericia 4 Feb 9 – Mar 1 1 in 15

Longest Winless Streaks

# Team Games Dates Probability
1 Brondby 11 Nov 23 – Apr 12 1 in 484
2 FC Copenhagen 8 Nov 30 – Mar 22 1 in 141
3 Silkeborg 10 Nov 2 – Mar 16 1 in 63
4 Vejle BK 12 Feb 9 – May 3 1 in 58
5 Fredericia 10 Aug 31 – Nov 23 1 in 33

Home-Field Advantage Edge

The simulation applies the same home-field boost to every game across the league, so the per-game home win probabilities bake in the model's idea of HFA. For each team, we sum expected points at home and compare to actual home points, and the same on the road. The bar shows (home points above expected) minus (away points above expected). A tall positive bar means the team's home/road split exceeded what the model predicted — a real fortress effect. A tall negative bar means the reverse: they played worse at home or better on the road than expected.

Finish Position Heatmap

Each cell is the probability — across 100,000 simulations — that the team (row) finished at that position (column). Rows are sorted by actual finish (champion at top, bottom of the table at the bottom).

Team123456789101112
Aarhus GF12.95%15.15%14.78%12.87%11.74%9.45%7.32%5.63%3.92%3.17%1.89%1.13%
Midtjylland33.43%22.10%14.74%9.55%6.87%4.90%3.15%2.33%1.48%0.84%0.47%0.14%
Nordsjaelland3.59%5.53%8.49%9.21%10.60%11.34%10.89%10.76%9.44%8.19%6.94%5.02%
Brondby14.21%15.43%15.12%13.76%11.28%8.95%6.90%5.27%3.89%2.60%1.82%0.77%
Viborg3.43%5.82%7.76%9.03%10.76%11.29%10.97%10.94%9.61%8.70%6.77%4.92%
Sonderjyske1.70%3.73%5.41%7.83%8.73%10.21%11.40%11.44%11.32%10.99%9.62%7.62%
Randers2.48%4.89%6.78%9.30%9.54%10.40%11.43%10.80%10.69%9.33%8.17%6.19%
FC Copenhagen25.02%20.83%16.28%11.84%8.55%5.87%4.32%3.09%1.87%1.38%0.77%0.18%
Odense1.00%1.75%2.74%4.79%6.20%7.95%9.43%10.89%12.06%13.57%15.12%14.50%
Silkeborg1.44%2.70%4.46%6.14%7.74%8.73%10.27%10.66%12.22%12.45%12.22%10.97%
Fredericia0.38%1.12%1.69%3.13%4.04%5.58%7.39%9.58%11.92%14.56%17.91%22.70%
Vejle BK0.37%0.95%1.75%2.55%3.95%5.33%6.53%8.61%11.58%14.22%18.30%25.86%

Points Required Per Position

The empirical CDF of simulated point totals per finishing position. Each curve shows, for one position (1st, 2nd, ..., last), the spread of point totals teams accumulated across simulations. Reading the curve at the 50% mark gives the median points typically needed to finish at that position. Steep curves mean the position is tightly clustered around a particular point range; shallow curves mean the position came with a wide variety of point totals.

Points Totals in Context

How did each team's actual results compare to their simulated points, Elo rating, average opponent Elo, and percentile within simulated outcomes? Use the buttons to switch between views. In each chart, dashed crosshairs at the league means split the plot into four quadrants: pastel green (team did well, model agreed), pastel red (team did poorly, model agreed), and pastel yellow (model and reality disagreed).

Season Trends

How each metric evolved across the season — Elo rating, actual and projected points, title/promotion probability, and relegation probability — day by day.

Promotion Playoff Bracket

The path the promotion-playoff teams took to determine the final promotion spot. Two-leg ties show their aggregate score with each leg listed below the matchup card.

Finals

FC Copenhagen 3
Brondby 1

Stochastic Promotion/Relegation Outcomes

Across 100,000 regular-season simulations from preseason Elo, the probability of each team's next-season outcome — promotion-positive outcomes on the left, relegation-positive on the right. The round buttons switch to heatmaps of how often each pair of teams met in that round of the playoff across the simulations, since every iteration produces a different field.

Team Same level Lost relegation playoff
Midtjylland 99.9% 0.1%
FC Copenhagen 99.1% 0.9%
Aarhus GF 99.0% 1.1%
Brondby 98.5% 1.5%
Viborg 91.7% 8.3%
Nordsjaelland 91.3% 8.7%
Sonderjyske 88.2% 11.8%
Randers 86.9% 13.1%
Silkeborg 73.0% 27.0%
Odense 71.5% 28.5%
Fredericia 53.7% 46.3%
Vejle BK 47.4% 52.6%

Overall Game Log

Every regular-season game from each team's perspective. Use the team filter at the top of the tab; the table scrolls within its frame. Sort any column by clicking its header. @ before an opponent name indicates an away game.

Date Opponent Score Pre Elo Opp Elo Win % Tie % Loss % Elo Δ Points
2025-07-18 FC Copenhagen L 2-3 1719 1787 32.8% 25.2% 42.0% -4.8 0
2025-07-18 @ Viborg W 3-2 1787 1719 42.0% 25.2% 32.8% +4.8 3
2025-07-20 Silkeborg W 3-0 1755 1727 46.1% 24.7% 29.2% +13.4 3
2025-07-20 @ Brondby L 0-3 1727 1755 29.2% 24.7% 46.1% -13.4 0
2025-07-20 Nordsjaelland L 2-3 1681 1726 35.8% 25.4% 38.8% -5.1 0
2025-07-20 @ Fredericia W 3-2 1726 1681 38.8% 25.4% 35.8% +5.2 3
2025-07-20 Odense D 3-3 1760 1695 51.4% 23.4% 25.2% -0.5 1
2025-07-20 @ Midtjylland D 3-3 1695 1760 25.2% 23.4% 51.4% +0.5 1
2025-07-20 Aarhus GF D 1-1 1680 1720 36.5% 25.5% 38.0% +0.0 1
2025-07-20 @ Sonderjyske D 1-1 1720 1680 38.0% 25.5% 36.5% -0.0 1
2025-07-20 Randers D 1-1 1670 1716 35.6% 25.4% 38.9% +0.1 1
2025-07-20 @ Vejle BK D 1-1 1716 1670 38.9% 25.4% 35.6% -0.1 1
2025-07-25 Randers L 1-2 1719 1716 42.7% 25.2% 32.1% -6.2 1
2025-07-25 @ Aarhus GF W 2-1 1716 1719 32.1% 25.2% 42.7% +6.2 4
2025-07-26 Vejle BK W 2-0 1792 1670 58.8% 20.8% 20.4% +6.5 6
2025-07-26 @ FC Copenhagen L 0-2 1670 1792 20.4% 20.8% 58.8% -6.5 1
2025-07-27 Brondby L 0-1 1731 1768 36.8% 25.5% 37.7% -5.9 3
2025-07-27 @ Nordsjaelland W 1-0 1768 1731 37.7% 25.5% 36.8% +5.9 6
2025-07-27 Viborg W 3-1 1695 1715 39.4% 25.4% 35.2% +9.3 4
2025-07-27 @ Odense L 1-3 1715 1695 35.2% 25.4% 39.4% -9.3 0
2025-07-27 Fredericia L 0-2 1714 1675 47.6% 24.4% 28.0% -13.5 0
2025-07-27 @ Silkeborg W 2-0 1675 1714 28.0% 24.4% 47.6% +13.5 3
2025-07-28 Sonderjyske W 6-2 1760 1680 53.3% 22.8% 23.9% +10.2 4
2025-07-28 @ Midtjylland L 2-6 1680 1760 23.9% 22.8% 53.3% -10.2 1
2025-08-01 FC Copenhagen L 0-2 1689 1798 27.8% 24.3% 47.9% -8.8 3
2025-08-01 @ Fredericia W 2-0 1798 1689 47.9% 24.3% 27.8% +8.8 9
2025-08-01 Odense W 4-0 1664 1704 36.3% 25.5% 38.2% +21.6 4
2025-08-01 @ Vejle BK L 0-4 1704 1664 38.2% 25.5% 36.3% -21.6 4
2025-08-03 Midtjylland D 0-0 1713 1770 34.2% 25.4% 40.5% +0.2 2
2025-08-03 @ Aarhus GF D 0-0 1770 1713 40.5% 25.4% 34.2% -0.2 5
2025-08-03 Viborg L 0-2 1774 1705 51.8% 23.3% 24.9% -14.4 6
2025-08-03 @ Brondby W 2-0 1705 1774 24.9% 23.3% 51.8% +14.4 3
2025-08-03 Silkeborg W 1-0 1722 1700 45.3% 24.8% 29.9% +5.0 7
2025-08-03 @ Randers L 0-1 1700 1722 29.9% 24.8% 45.3% -5.0 0
2025-08-03 Nordsjaelland W 3-2 1670 1725 34.4% 25.4% 40.3% +5.6 4
2025-08-03 @ Sonderjyske L 2-3 1725 1670 40.3% 25.4% 34.4% -5.6 3
2025-08-08 Aarhus GF L 2-3 1807 1713 55.1% 22.2% 22.7% -7.2 9
2025-08-08 @ FC Copenhagen W 3-2 1713 1807 22.7% 22.2% 55.1% +7.2 5
2025-08-08 Sonderjyske W 1-0 1720 1675 48.5% 24.2% 27.4% +4.6 6
2025-08-08 @ Viborg L 0-1 1675 1720 27.4% 24.2% 48.5% -4.6 4
2025-08-10 Vejle BK W 2-1 1760 1685 52.6% 23.1% 24.4% +3.9 9
2025-08-10 @ Brondby L 1-2 1685 1760 24.4% 23.1% 52.6% -3.9 4
2025-08-10 Fredericia D 3-3 1770 1680 54.6% 22.4% 23.0% -0.6 6
2025-08-10 @ Midtjylland D 3-3 1680 1770 23.0% 22.4% 54.6% +0.6 4
2025-08-10 Nordsjaelland W 4-2 1695 1719 38.8% 25.4% 35.8% +8.4 3
2025-08-10 @ Silkeborg L 2-4 1719 1695 35.8% 25.4% 38.8% -8.4 3
2025-08-11 Randers W 3-2 1683 1727 35.9% 25.4% 38.7% +5.5 7
2025-08-11 @ Odense L 2-3 1727 1683 38.7% 25.4% 35.9% -5.5 7
2025-08-15 Sonderjyske W 3-2 1681 1671 43.6% 25.1% 31.3% +4.6 7
2025-08-15 @ Fredericia L 2-3 1671 1681 31.3% 25.1% 43.6% -4.6 4
2025-08-15 FC Copenhagen L 1-3 1711 1800 30.1% 24.9% 45.1% -8.2 3
2025-08-15 @ Nordsjaelland W 3-1 1800 1711 45.1% 24.9% 30.1% +8.2 12
2025-08-17 Brondby L 0-2 1721 1763 36.2% 25.5% 38.4% -11.0 7
2025-08-17 @ Randers W 2-0 1763 1721 38.4% 25.5% 36.2% +10.9 12
2025-08-17 Midtjylland L 0-2 1681 1769 30.2% 24.9% 44.9% -9.5 4
2025-08-17 @ Vejle BK W 2-0 1769 1681 44.9% 24.9% 30.2% +9.5 9
2025-08-17 Silkeborg L 2-3 1724 1704 45.1% 24.8% 30.0% -6.1 6
2025-08-17 @ Viborg W 3-2 1704 1724 30.0% 24.8% 45.1% +6.1 6
2025-08-18 Aarhus GF L 1-5 1688 1721 37.5% 25.5% 37.0% -17.8 7
2025-08-18 @ Odense W 5-1 1721 1688 37.0% 25.5% 37.5% +17.8 8
2025-08-23 Odense D 1-1 1808 1670 60.9% 19.9% 19.3% -1.4 13
2025-08-23 @ FC Copenhagen D 1-1 1670 1808 19.3% 19.9% 60.9% +1.4 8
2025-08-24 Vejle BK W 1-0 1738 1672 51.5% 23.4% 25.1% +4.2 11
2025-08-24 @ Aarhus GF L 0-1 1672 1738 25.1% 23.4% 51.5% -4.3 4
2025-08-24 Randers W 1-0 1685 1710 38.6% 25.5% 35.9% +5.8 10
2025-08-24 @ Fredericia L 0-1 1710 1685 35.9% 25.5% 38.6% -5.8 7
2025-08-24 Silkeborg W 4-2 1779 1710 51.8% 23.3% 24.9% +6.2 12
2025-08-24 @ Midtjylland L 2-4 1710 1779 24.9% 23.3% 51.8% -6.2 6
2025-08-24 Brondby W 2-0 1666 1774 27.9% 24.3% 47.8% +13.5 7
2025-08-24 @ Sonderjyske L 0-2 1774 1666 47.8% 24.3% 27.9% -13.5 12
2025-08-25 Viborg W 1-0 1703 1718 40.0% 25.4% 34.6% +5.6 6
2025-08-25 @ Nordsjaelland L 0-1 1718 1703 34.6% 25.4% 40.0% -5.6 6
2025-08-29 Viborg L 1-2 1668 1713 35.8% 25.4% 38.8% -5.4 4
2025-08-29 @ Vejle BK W 2-1 1713 1668 38.8% 25.4% 35.8% +5.4 9
2025-08-31 Fredericia W 4-1 1743 1691 49.4% 23.9% 26.6% +10.4 14
2025-08-31 @ Aarhus GF L 1-4 1691 1743 26.6% 23.9% 49.4% -10.4 10
2025-08-31 Midtjylland L 1-3 1761 1785 38.8% 25.4% 35.8% -10.0 12
2025-08-31 @ Brondby W 3-1 1785 1761 35.8% 25.4% 38.8% +10.0 15
2025-08-31 Nordsjaelland L 1-2 1672 1708 37.0% 25.5% 37.5% -5.6 8
2025-08-31 @ Odense W 2-1 1708 1672 37.5% 25.5% 37.0% +5.6 9
2025-08-31 FC Copenhagen L 1-5 1705 1806 28.6% 24.5% 46.9% -14.3 7
2025-08-31 @ Randers W 5-1 1806 1705 46.9% 24.5% 28.6% +14.3 16
2025-08-31 Sonderjyske L 0-2 1704 1679 45.6% 24.8% 29.6% -13.0 6
2025-08-31 @ Silkeborg W 2-0 1679 1704 29.6% 24.8% 45.6% +13.0 10
2025-09-12 Randers L 0-1 1693 1690 42.5% 25.2% 32.3% -6.5 10
2025-09-12 @ Sonderjyske W 1-0 1690 1693 32.3% 25.2% 42.5% +6.5 10
2025-09-13 FC Copenhagen W 2-1 1751 1821 32.4% 25.2% 42.4% +6.2 15
2025-09-13 @ Brondby L 1-2 1821 1751 42.4% 25.2% 32.4% -6.2 16
2025-09-14 Midtjylland W 1-0 1714 1795 31.0% 25.0% 44.0% +6.7 12
2025-09-14 @ Nordsjaelland L 0-1 1795 1714 44.0% 25.0% 31.0% -6.7 15
2025-09-14 Odense W 2-1 1691 1666 45.6% 24.8% 29.6% +4.6 9
2025-09-14 @ Silkeborg L 1-2 1666 1691 29.6% 24.8% 45.6% -4.7 8
2025-09-14 Aarhus GF L 1-2 1718 1753 37.1% 25.5% 37.4% -5.6 9
2025-09-14 @ Viborg W 2-1 1753 1718 37.4% 25.5% 37.1% +5.6 17
2025-09-15 Vejle BK D 1-1 1681 1662 44.8% 24.9% 30.3% -0.5 11
2025-09-15 @ Fredericia D 1-1 1662 1681 30.3% 24.9% 44.8% +0.5 5
2025-09-19 Fredericia W 3-2 1662 1680 39.5% 25.4% 35.1% +5.1 11
2025-09-19 @ Odense L 2-3 1680 1662 35.1% 25.4% 39.5% -5.1 11
2025-09-20 Viborg W 2-0 1788 1712 52.7% 23.0% 24.3% +7.8 18
2025-09-20 @ Midtjylland L 0-2 1712 1788 24.3% 23.0% 52.7% -7.8 9
2025-09-21 Brondby W 1-0 1759 1757 42.4% 25.2% 32.4% +5.3 20
2025-09-21 @ Aarhus GF L 0-1 1757 1759 32.4% 25.2% 42.4% -5.3 15
2025-09-21 Silkeborg D 3-3 1815 1695 58.5% 20.9% 20.6% -0.8 17
2025-09-21 @ FC Copenhagen D 3-3 1695 1815 20.6% 20.9% 58.5% +0.8 10
2025-09-21 Sonderjyske D 2-2 1663 1686 38.8% 25.4% 35.7% -0.1 6
2025-09-21 @ Vejle BK D 2-2 1686 1663 35.7% 25.4% 38.8% +0.1 11
2025-09-22 Nordsjaelland W 3-0 1697 1721 38.8% 25.4% 35.7% +15.7 13
2025-09-22 @ Randers L 0-3 1721 1697 35.7% 25.4% 38.8% -15.8 12
2025-09-27 FC Copenhagen L 1-2 1686 1814 25.9% 23.7% 50.5% -4.1 11
2025-09-27 @ Sonderjyske W 2-1 1814 1686 50.5% 23.7% 25.9% +4.1 20
2025-09-28 Odense W 5-1 1752 1667 54.0% 22.6% 23.4% +11.8 18
2025-09-28 @ Brondby L 1-5 1667 1752 23.4% 22.6% 54.0% -11.8 11
2025-09-28 Aarhus GF L 1-2 1705 1764 33.8% 25.3% 40.8% -5.2 12
2025-09-28 @ Nordsjaelland W 2-1 1764 1705 40.8% 25.3% 33.8% +5.2 23
2025-09-28 Vejle BK D 1-1 1696 1663 46.9% 24.5% 28.6% -0.6 11
2025-09-28 @ Silkeborg D 1-1 1663 1696 28.6% 24.5% 46.9% +0.6 7
2025-09-28 Fredericia W 2-1 1705 1675 46.4% 24.6% 29.0% +4.6 12
2025-09-28 @ Viborg L 1-2 1675 1705 29.0% 24.6% 46.4% -4.6 11
2025-09-29 Randers W 2-1 1796 1713 53.7% 22.7% 23.6% +3.8 21
2025-09-29 @ Midtjylland L 1-2 1713 1796 23.6% 22.7% 53.7% -3.8 13
2025-10-03 Sonderjyske D 1-1 1655 1682 38.3% 25.5% 36.2% -0.1 12
2025-10-03 @ Odense D 1-1 1682 1655 36.2% 25.5% 38.3% +0.1 12
2025-10-05 Silkeborg W 3-1 1769 1695 52.5% 23.1% 24.4% +6.8 26
2025-10-05 @ Aarhus GF L 1-3 1695 1769 24.4% 23.1% 52.5% -6.8 11
2025-10-05 Midtjylland D 1-1 1818 1800 44.8% 24.9% 30.3% -0.5 21
2025-10-05 @ FC Copenhagen D 1-1 1800 1818 30.3% 24.9% 44.8% +0.5 22
2025-10-05 Brondby L 0-2 1671 1764 29.6% 24.8% 45.6% -9.3 11
2025-10-05 @ Fredericia W 2-0 1764 1671 45.6% 24.8% 29.6% +9.3 21
2025-10-05 Viborg W 2-1 1709 1709 42.1% 25.2% 32.6% +5.0 16
2025-10-05 @ Randers L 1-2 1709 1709 32.6% 25.2% 42.1% -5.0 12
2025-10-05 Nordsjaelland L 0-3 1663 1700 37.0% 25.5% 37.6% -16.1 7
2025-10-05 @ Vejle BK W 3-0 1700 1663 37.6% 25.5% 37.0% +16.2 15
2025-10-17 FC Copenhagen W 3-1 1689 1817 25.8% 23.6% 50.6% +12.3 14
2025-10-17 @ Silkeborg L 1-3 1817 1689 50.6% 23.6% 25.8% -12.3 21
2025-10-19 Aarhus GF D 3-3 1773 1776 41.8% 25.3% 33.0% -0.2 22
2025-10-19 @ Brondby D 3-3 1776 1773 33.0% 25.3% 41.8% +0.2 27
2025-10-19 Vejle BK W 5-1 1800 1647 62.8% 19.0% 18.2% +9.0 25
2025-10-19 @ Midtjylland L 1-5 1647 1800 18.2% 19.0% 62.8% -9.0 7
2025-10-19 Randers W 1-0 1716 1714 42.4% 25.2% 32.4% +5.3 18
2025-10-19 @ Nordsjaelland L 0-1 1714 1716 32.4% 25.2% 42.4% -5.3 16
2025-10-19 Odense L 1-2 1704 1655 49.1% 24.0% 26.9% -6.9 12
2025-10-19 @ Viborg W 2-1 1655 1704 26.9% 24.0% 49.1% +6.9 15
2025-10-20 Fredericia W 3-0 1682 1661 45.1% 24.8% 30.0% +13.7 15
2025-10-20 @ Sonderjyske L 0-3 1661 1682 30.0% 24.8% 45.1% -13.7 11
2025-10-24 Nordsjaelland W 1-0 1776 1721 49.9% 23.8% 26.2% +4.4 30
2025-10-24 @ Aarhus GF L 0-1 1721 1776 26.2% 23.8% 49.9% -4.4 18
2025-10-26 Viborg D 0-0 1805 1697 57.0% 21.5% 21.5% -1.3 22
2025-10-26 @ FC Copenhagen D 0-0 1697 1805 21.5% 21.5% 57.0% +1.3 13
2025-10-26 Midtjylland L 0-4 1648 1809 22.7% 22.2% 55.0% -13.8 11
2025-10-26 @ Fredericia W 4-0 1809 1648 55.0% 22.2% 22.7% +13.8 28
2025-10-26 Sonderjyske D 0-0 1709 1696 44.0% 25.0% 31.0% -0.5 17
2025-10-26 @ Randers D 0-0 1696 1709 31.0% 25.0% 44.0% +0.5 16
2025-10-26 Silkeborg L 1-2 1638 1701 33.3% 25.3% 41.4% -5.1 7
2025-10-26 @ Vejle BK W 2-1 1701 1638 41.4% 25.3% 33.3% +5.1 17
2025-10-27 Brondby L 1-4 1662 1773 27.6% 24.2% 48.2% -10.7 15
2025-10-27 @ Odense W 4-1 1773 1662 48.2% 24.2% 27.6% +10.7 25
2025-11-01 Fredericia W 3-2 1804 1634 65.0% 17.9% 17.1% +2.5 25
2025-11-01 @ FC Copenhagen L 2-3 1634 1804 17.1% 17.9% 65.0% -2.5 11
2025-11-02 Odense L 2-4 1717 1651 51.4% 23.4% 25.2% -11.1 18
2025-11-02 @ Nordsjaelland W 4-2 1651 1717 25.2% 23.4% 51.4% +11.1 18
2025-11-02 Brondby L 0-2 1706 1783 31.5% 25.1% 43.4% -9.8 17
2025-11-02 @ Silkeborg W 2-0 1783 1706 43.4% 25.1% 31.5% +9.8 28
2025-11-02 Vejle BK W 2-1 1696 1633 51.0% 23.5% 25.4% +4.1 19
2025-11-02 @ Sonderjyske L 1-2 1633 1696 25.4% 23.5% 51.0% -4.1 7
2025-11-02 Randers W 3-2 1699 1708 40.8% 25.3% 33.8% +4.9 16
2025-11-02 @ Viborg L 2-3 1708 1699 33.8% 25.3% 40.8% -4.9 17
2025-11-03 Aarhus GF D 1-1 1823 1781 48.1% 24.2% 27.6% -0.7 29
2025-11-03 @ Midtjylland D 1-1 1781 1823 27.6% 24.2% 48.1% +0.7 31
2025-11-07 Silkeborg D 1-1 1662 1696 37.3% 25.5% 37.2% +0.0 19
2025-11-07 @ Odense D 1-1 1696 1662 37.2% 25.5% 37.3% +0.0 18
2025-11-09 Sonderjyske L 2-3 1781 1700 53.5% 22.8% 23.8% -7.0 31
2025-11-09 @ Aarhus GF W 3-2 1700 1781 23.8% 22.8% 53.5% +7.0 22
2025-11-09 Nordsjaelland W 2-0 1793 1706 54.4% 22.5% 23.2% +7.4 31
2025-11-09 @ Brondby L 0-2 1706 1793 23.2% 22.5% 54.4% -7.4 18
2025-11-09 Viborg L 0-3 1631 1704 32.1% 25.2% 42.7% -14.5 11
2025-11-09 @ Fredericia W 3-0 1704 1631 42.7% 25.2% 32.1% +14.5 19
2025-11-09 Midtjylland L 0-2 1703 1822 26.8% 24.0% 49.2% -8.5 17
2025-11-09 @ Randers W 2-0 1822 1703 49.2% 24.0% 26.8% +8.5 32
2025-11-09 FC Copenhagen W 2-0 1629 1806 21.4% 21.4% 57.2% +15.5 10
2025-11-09 @ Vejle BK L 0-2 1806 1629 57.2% 21.4% 21.4% -15.6 25
2025-11-21 Aarhus GF L 0-1 1696 1774 31.4% 25.1% 43.5% -5.2 18
2025-11-21 @ Silkeborg W 1-0 1774 1696 43.5% 25.1% 31.4% +5.2 34
2025-11-23 Brondby W 1-0 1791 1801 40.8% 25.4% 33.9% +5.5 28
2025-11-23 @ FC Copenhagen L 0-1 1801 1791 33.9% 25.4% 40.8% -5.5 31
2025-11-23 Fredericia W 5-0 1698 1617 53.5% 22.8% 23.8% +17.8 21
2025-11-23 @ Nordsjaelland L 0-5 1617 1698 23.8% 22.8% 53.5% -17.8 11
2025-11-23 Midtjylland W 2-1 1707 1831 26.3% 23.8% 49.9% +7.0 25
2025-11-23 @ Sonderjyske L 1-2 1831 1707 49.9% 23.8% 26.3% -7.0 32
2025-11-23 Vejle BK W 5-2 1718 1644 52.5% 23.1% 24.4% +8.3 22
2025-11-23 @ Viborg L 2-5 1644 1718 24.4% 23.1% 52.5% -8.3 10
2025-11-24 Odense D 0-0 1695 1662 46.8% 24.5% 28.7% -0.7 18
2025-11-24 @ Randers D 0-0 1662 1695 28.7% 24.5% 46.8% +0.7 20
2025-11-28 Viborg D 2-2 1714 1726 40.5% 25.4% 34.2% -0.1 26
2025-11-28 @ Sonderjyske D 2-2 1726 1714 34.2% 25.4% 40.5% +0.2 23
2025-11-30 FC Copenhagen W 2-0 1779 1796 39.8% 25.4% 34.8% +10.6 37
2025-11-30 @ Aarhus GF L 0-2 1796 1779 34.8% 25.4% 39.8% -10.6 28
2025-11-30 Nordsjaelland W 6-0 1824 1716 57.0% 21.5% 21.5% +19.0 35
2025-11-30 @ Midtjylland L 0-6 1716 1824 21.5% 21.5% 57.0% -19.0 21
2025-11-30 Vejle BK W 3-0 1663 1636 46.0% 24.7% 29.3% +13.4 23
2025-11-30 @ Odense L 0-3 1636 1663 29.3% 24.7% 46.0% -13.4 10
2025-11-30 Randers D 0-0 1691 1694 41.8% 25.3% 33.0% -0.3 19
2025-11-30 @ Silkeborg D 0-0 1694 1691 33.0% 25.3% 41.8% +0.3 19
2025-12-01 Fredericia L 1-3 1795 1599 68.1% 16.3% 15.6% -15.3 31
2025-12-01 @ Brondby W 3-1 1599 1795 15.6% 16.3% 68.1% +15.3 14
2025-12-05 Odense L 1-3 1614 1676 33.5% 25.3% 41.2% -8.9 14
2025-12-05 @ Fredericia W 3-1 1676 1614 41.2% 25.3% 33.5% +8.9 26
2025-12-07 Sonderjyske L 0-2 1786 1714 52.2% 23.2% 24.6% -14.5 28
2025-12-07 @ FC Copenhagen W 2-0 1714 1786 24.6% 23.2% 52.2% +14.5 29
2025-12-07 Silkeborg W 5-0 1697 1691 43.0% 25.1% 31.8% +23.1 24
2025-12-07 @ Nordsjaelland L 0-5 1691 1697 31.8% 25.1% 43.0% -23.1 19
2025-12-07 Aarhus GF L 1-2 1694 1790 29.3% 24.7% 46.0% -4.6 19
2025-12-07 @ Randers W 2-1 1790 1694 46.0% 24.7% 29.3% +4.6 40
2025-12-07 Midtjylland D 3-3 1726 1843 27.0% 24.1% 48.9% +0.4 24
2025-12-07 @ Viborg D 3-3 1843 1726 48.9% 24.1% 27.0% -0.4 36
2025-12-08 Brondby W 2-1 1623 1780 23.1% 22.4% 54.5% +7.5 13
2025-12-08 @ Vejle BK L 1-2 1780 1623 54.5% 22.4% 23.1% -7.5 31
2026-02-08 Randers D 0-0 1772 1690 53.7% 22.7% 23.6% -1.1 32
2026-02-08 @ Brondby D 0-0 1690 1772 23.6% 22.7% 53.7% +1.1 20
2026-02-08 FC Copenhagen W 2-1 1842 1771 52.1% 23.2% 24.7% +4.0 39
2026-02-08 @ Midtjylland L 1-2 1771 1842 24.7% 23.2% 52.1% -4.0 28
2026-02-08 Sonderjyske W 2-1 1720 1729 41.0% 25.3% 33.7% +5.2 27
2026-02-08 @ Nordsjaelland L 1-2 1729 1720 33.7% 25.3% 41.0% -5.2 29
2026-02-08 Viborg L 0-1 1668 1727 33.8% 25.3% 40.8% -5.5 19
2026-02-08 @ Silkeborg W 1-0 1727 1668 40.8% 25.3% 33.8% +5.5 27
2026-02-09 Fredericia L 2-3 1630 1606 45.7% 24.7% 29.6% -6.2 13
2026-02-09 @ Vejle BK W 3-2 1606 1630 29.6% 24.7% 45.7% +6.2 17
2026-02-09 Odense W 2-1 1795 1685 57.3% 21.4% 21.3% +3.4 43
2026-02-09 @ Aarhus GF L 1-2 1685 1795 21.3% 21.4% 57.3% -3.4 26
2026-02-13 Vejle BK W 2-0 1691 1624 51.6% 23.4% 25.1% +8.0 23
2026-02-13 @ Randers L 0-2 1624 1691 25.1% 23.4% 51.6% -8.0 13
2026-02-14 Nordsjaelland L 1-2 1767 1725 48.1% 24.2% 27.6% -6.8 28
2026-02-14 @ FC Copenhagen W 2-1 1725 1767 27.6% 24.2% 48.1% +6.8 30
2026-02-15 Aarhus GF D 1-1 1612 1798 20.7% 21.0% 58.3% +1.3 18
2026-02-15 @ Fredericia D 1-1 1798 1612 58.3% 21.0% 20.7% -1.3 44
2026-02-15 Midtjylland L 1-4 1682 1846 22.5% 22.1% 55.4% -8.8 26
2026-02-15 @ Odense W 4-1 1846 1682 55.4% 22.1% 22.5% +8.8 42
2026-02-15 Brondby W 1-0 1732 1771 36.6% 25.5% 37.9% +6.0 30
2026-02-15 @ Viborg L 0-1 1771 1732 37.9% 25.5% 36.6% -6.0 32
2026-02-16 Silkeborg W 2-1 1723 1662 50.8% 23.6% 25.6% +4.1 32
2026-02-16 @ Sonderjyske L 1-2 1662 1723 25.6% 23.6% 50.8% -4.1 19
2026-02-20 Vejle BK D 3-3 1732 1616 58.1% 21.1% 20.8% -0.8 31
2026-02-20 @ Nordsjaelland D 3-3 1616 1732 20.8% 21.1% 58.1% +0.8 14
2026-02-21 FC Copenhagen D 2-2 1673 1760 30.2% 24.9% 44.9% +0.3 27
2026-02-21 @ Odense D 2-2 1760 1673 44.9% 24.9% 30.2% -0.4 29
2026-02-22 Viborg W 5-2 1797 1738 50.4% 23.7% 25.9% +8.8 47
2026-02-22 @ Aarhus GF L 2-5 1738 1797 25.9% 23.7% 50.4% -8.8 30
2026-02-22 Fredericia L 1-2 1699 1613 54.1% 22.6% 23.3% -7.5 23
2026-02-22 @ Randers W 2-1 1613 1699 23.3% 22.6% 54.1% +7.5 21
2026-02-22 Midtjylland L 0-4 1658 1855 19.9% 20.4% 59.7% -12.0 19
2026-02-22 @ Silkeborg W 4-0 1855 1658 59.7% 20.4% 19.9% +12.0 45
2026-02-23 Sonderjyske D 0-0 1765 1727 47.5% 24.4% 28.1% -0.7 33
2026-02-23 @ Brondby D 0-0 1727 1765 28.1% 24.4% 47.5% +0.7 33
2026-03-01 Randers L 1-2 1760 1691 51.8% 23.3% 24.9% -7.2 29
2026-03-01 @ FC Copenhagen W 2-1 1691 1760 24.9% 23.3% 51.8% +7.2 26
2026-03-01 Silkeborg W 2-1 1620 1646 38.5% 25.5% 36.0% +5.5 24
2026-03-01 @ Fredericia L 1-2 1646 1620 36.0% 25.5% 38.5% -5.4 19
2026-03-01 Brondby D 0-0 1867 1765 56.3% 21.8% 21.9% -1.3 46
2026-03-01 @ Midtjylland D 0-0 1765 1867 21.9% 21.8% 56.3% +1.3 34
2026-03-01 Odense W 1-0 1728 1673 49.9% 23.8% 26.3% +4.4 36
2026-03-01 @ Sonderjyske L 0-1 1673 1728 26.3% 23.8% 49.9% -4.4 27
2026-03-01 Aarhus GF L 1-2 1617 1806 20.5% 20.8% 58.7% -3.3 14
2026-03-01 @ Vejle BK W 2-1 1806 1617 58.7% 20.8% 20.5% +3.2 50
2026-03-01 Nordsjaelland W 2-1 1730 1731 42.0% 25.2% 32.8% +5.1 33
2026-03-01 @ Viborg L 1-2 1731 1730 32.8% 25.2% 42.0% -5.1 31

Second Phase Game Log

Every second-phase (championship / middle / relegation round) game from each team's perspective, filtered by the team selected at the top of the tab; the table scrolls within its frame. Sort any column by clicking its header. @ before an opponent name indicates an away game. The final column is running points within the second phase only.

Date Opponent Score Pre Elo Opp Elo Win % Tie % Loss % Elo Δ Points
2026-03-13 Randers L 0-3 1626 1699 32.1% 25.2% 42.8% -14.5 0
2026-03-13 @ Fredericia W 3-0 1699 1626 42.8% 25.2% 32.1% +14.5 3
2026-03-15 FC Copenhagen W 2-1 1669 1753 30.7% 24.9% 44.4% +6.4 3
2026-03-15 @ Odense L 1-2 1753 1669 44.4% 24.9% 30.7% -6.4 0
2026-03-15 Nordsjaelland L 0-1 1866 1726 61.1% 19.8% 19.1% -8.7 0
2026-03-15 @ Midtjylland W 1-0 1726 1866 19.1% 19.8% 61.1% +8.7 3
2026-03-15 Aarhus GF D 1-1 1733 1809 31.6% 25.1% 43.3% +0.4 1
2026-03-15 @ Sonderjyske D 1-1 1809 1733 43.3% 25.1% 31.6% -0.4 1
2026-03-15 Viborg L 0-1 1766 1735 46.6% 24.6% 28.8% -7.0 0
2026-03-15 @ Brondby W 1-0 1735 1766 28.8% 24.6% 46.6% +7.0 3
2026-03-16 Vejle BK D 1-1 1641 1613 46.1% 24.7% 29.3% -0.5 1
2026-03-16 @ Silkeborg D 1-1 1613 1641 29.3% 24.7% 46.1% +0.5 1
2026-03-20 Odense D 1-1 1614 1675 33.6% 25.3% 41.1% +0.2 2
2026-03-20 @ Vejle BK D 1-1 1675 1614 41.1% 25.3% 33.6% -0.2 4
2026-03-22 Silkeborg L 0-3 1713 1640 52.4% 23.1% 24.5% -21.1 3
2026-03-22 @ Randers W 3-0 1640 1713 24.5% 23.1% 52.4% +21.1 4
2026-03-22 Fredericia L 1-2 1746 1611 60.6% 20.0% 19.4% -8.1 0
2026-03-22 @ FC Copenhagen W 2-1 1611 1746 19.4% 20.0% 60.6% +8.1 3
2026-03-22 Sonderjyske W 2-0 1735 1733 42.4% 25.2% 32.4% +10.0 6
2026-03-22 @ Nordsjaelland L 0-2 1733 1735 32.4% 25.2% 42.4% -10.0 1
2026-03-22 Brondby D 0-0 1808 1759 49.2% 24.0% 26.8% -0.8 2
2026-03-22 @ Aarhus GF D 0-0 1759 1808 26.8% 24.0% 49.2% +0.8 1
2026-03-22 Midtjylland D 1-1 1742 1857 27.1% 24.1% 48.8% +0.7 4
2026-03-22 @ Viborg D 1-1 1857 1742 48.8% 24.1% 27.1% -0.7 1
2026-04-04 Sonderjyske D 2-2 1856 1723 60.3% 20.1% 19.6% -1.0 2
2026-04-04 @ Midtjylland D 2-2 1723 1856 19.6% 20.1% 60.3% +1.0 2
2026-04-05 Silkeborg W 7-0 1738 1661 52.9% 22.9% 24.1% +24.8 3
2026-04-05 @ FC Copenhagen L 0-7 1661 1738 24.1% 22.9% 52.9% -24.8 4
2026-04-06 Randers D 1-1 1614 1692 31.4% 25.1% 43.5% +0.4 3
2026-04-06 @ Vejle BK D 1-1 1692 1614 43.5% 25.1% 31.4% -0.4 4
2026-04-06 Fredericia W 1-0 1675 1620 50.0% 23.8% 26.2% +4.4 7
2026-04-06 @ Odense L 0-1 1620 1675 26.2% 23.8% 50.0% -4.4 3
2026-04-06 Aarhus GF L 1-2 1742 1808 33.0% 25.3% 41.7% -5.1 4
2026-04-06 @ Viborg W 2-1 1808 1742 41.7% 25.3% 33.0% +5.1 5
2026-04-07 Brondby W 2-1 1745 1760 40.1% 25.4% 34.5% +5.3 9
2026-04-07 @ Nordsjaelland L 1-2 1760 1745 34.5% 25.4% 40.1% -5.3 1
2026-04-10 Nordsjaelland D 1-1 1813 1750 51.0% 23.5% 25.5% -0.8 6
2026-04-10 @ Aarhus GF D 1-1 1750 1813 25.5% 23.5% 51.0% +0.8 10
2026-04-12 Odense W 3-1 1636 1679 36.0% 25.5% 38.5% +9.9 7
2026-04-12 @ Silkeborg L 1-3 1679 1636 38.5% 25.5% 36.0% -9.9 7
2026-04-12 FC Copenhagen L 1-2 1692 1763 32.2% 25.2% 42.6% -5.0 4
2026-04-12 @ Randers W 2-1 1763 1692 42.6% 25.2% 32.2% +5.0 6
2026-04-12 Viborg L 0-2 1724 1737 40.3% 25.4% 34.3% -11.9 2
2026-04-12 @ Sonderjyske W 2-0 1737 1724 34.3% 25.4% 40.3% +11.9 7
2026-04-12 Midtjylland L 1-2 1754 1855 28.7% 24.5% 46.8% -4.5 1
2026-04-12 @ Brondby W 2-1 1855 1754 46.8% 24.5% 28.7% +4.5 5
2026-04-13 Vejle BK D 2-2 1615 1615 42.3% 25.2% 32.5% -0.2 4
2026-04-13 @ Fredericia D 2-2 1615 1615 32.5% 25.2% 42.3% +0.2 4
2026-04-17 Sonderjyske W 6-0 1750 1712 47.5% 24.4% 28.1% +24.7 4
2026-04-17 @ Brondby L 0-6 1712 1750 28.1% 24.4% 47.5% -24.7 2
2026-04-19 Randers W 3-1 1669 1687 39.7% 25.4% 34.9% +9.2 10
2026-04-19 @ Odense L 1-3 1687 1669 34.9% 25.4% 39.7% -9.2 4
2026-04-19 Fredericia D 2-2 1646 1615 46.6% 24.6% 28.8% -0.4 8
2026-04-19 @ Silkeborg D 2-2 1615 1646 28.8% 24.6% 46.6% +0.4 5
2026-04-19 FC Copenhagen L 1-4 1615 1768 23.4% 22.6% 54.0% -9.2 4
2026-04-19 @ Vejle BK W 4-1 1768 1615 54.0% 22.6% 23.4% +9.2 9
2026-04-19 Viborg W 2-1 1751 1749 42.4% 25.2% 32.4% +5.0 13
2026-04-19 @ Nordsjaelland L 1-2 1749 1751 32.4% 25.2% 42.4% -5.0 7
2026-04-20 Aarhus GF W 2-1 1860 1812 48.9% 24.1% 27.0% +4.3 8
2026-04-20 @ Midtjylland L 1-2 1812 1860 27.0% 24.1% 48.9% -4.3 6
2026-04-22 Odense W 2-1 1777 1679 55.8% 21.9% 22.2% +3.6 12
2026-04-22 @ FC Copenhagen L 1-2 1679 1777 22.2% 21.9% 55.8% -3.6 10
2026-04-22 Silkeborg L 1-2 1606 1646 36.4% 25.5% 38.1% -5.5 4
2026-04-22 @ Vejle BK W 2-1 1646 1606 38.1% 25.5% 36.4% +5.5 11
2026-04-22 Brondby L 0-1 1744 1774 37.8% 25.5% 36.7% -6.0 7
2026-04-22 @ Viborg W 1-0 1774 1744 36.7% 25.5% 37.8% +6.0 7
2026-04-23 Fredericia D 2-2 1677 1615 50.9% 23.6% 25.6% -0.6 5
2026-04-23 @ Randers D 2-2 1615 1677 25.6% 23.6% 50.9% +0.6 6
2026-04-23 Aarhus GF D 1-1 1756 1808 34.8% 25.4% 39.8% +0.1 14
2026-04-23 @ Nordsjaelland D 1-1 1808 1756 39.8% 25.4% 34.8% -0.2 7
2026-04-23 Midtjylland L 1-2 1687 1864 21.5% 21.5% 57.1% -3.4 2
2026-04-23 @ Sonderjyske W 2-1 1864 1687 57.1% 21.5% 21.5% +3.4 11
2026-04-26 Odense L 0-2 1616 1675 33.8% 25.3% 40.8% -10.4 6
2026-04-26 @ Fredericia W 2-0 1675 1616 40.8% 25.3% 33.8% +10.4 13
2026-04-26 Randers W 2-0 1651 1677 38.6% 25.5% 36.0% +10.9 14
2026-04-26 @ Silkeborg L 0-2 1677 1651 36.0% 25.5% 38.6% -10.9 5
2026-04-26 Brondby W 3-0 1684 1780 29.2% 24.7% 46.1% +19.1 5
2026-04-26 @ Sonderjyske L 0-3 1780 1684 46.1% 24.7% 29.2% -19.1 7
2026-04-26 Nordsjaelland W 1-0 1738 1756 39.6% 25.4% 35.0% +5.6 10
2026-04-26 @ Viborg L 0-1 1756 1738 35.0% 25.4% 39.6% -5.6 14
2026-04-26 Midtjylland D 0-0 1807 1868 33.7% 25.3% 41.0% +0.2 8
2026-04-26 @ Aarhus GF D 0-0 1868 1807 41.0% 25.3% 33.7% -0.2 12
2026-04-27 Vejle BK W 3-0 1781 1600 66.3% 17.3% 16.5% +7.3 15
2026-04-27 @ FC Copenhagen L 0-3 1600 1781 16.5% 17.3% 66.3% -7.3 4
2026-05-01 Nordsjaelland D 1-1 1761 1750 43.7% 25.0% 31.2% -0.4 8
2026-05-01 @ Brondby D 1-1 1750 1761 31.2% 25.0% 43.7% +0.4 15
2026-05-03 Vejle BK W 1-0 1666 1593 52.4% 23.1% 24.5% +4.1 8
2026-05-03 @ Randers L 0-1 1593 1666 24.5% 23.1% 52.4% -4.2 4
2026-05-03 Silkeborg L 2-3 1686 1662 45.5% 24.8% 29.7% -6.2 13
2026-05-03 @ Odense W 3-2 1662 1686 29.7% 24.8% 45.5% +6.2 17
2026-05-03 FC Copenhagen D 3-3 1606 1788 21.0% 21.2% 57.8% +0.8 7
2026-05-03 @ Fredericia D 3-3 1788 1606 57.8% 21.2% 21.0% -0.8 16
2026-05-03 Sonderjyske W 2-1 1808 1703 56.6% 21.6% 21.7% +3.5 11
2026-05-03 @ Aarhus GF L 1-2 1703 1808 21.7% 21.6% 56.6% -3.5 5
2026-05-04 Viborg D 3-3 1867 1744 59.1% 20.7% 20.3% -0.8 13
2026-05-04 @ Midtjylland D 3-3 1744 1867 20.3% 20.7% 59.1% +0.8 11
2026-05-08 Sonderjyske L 0-1 1745 1700 48.5% 24.2% 27.3% -7.3 11
2026-05-08 @ Viborg W 1-0 1700 1745 27.3% 24.2% 48.5% +7.3 8
2026-05-10 Fredericia W 2-0 1589 1606 39.7% 25.4% 34.9% +10.6 7
2026-05-10 @ Vejle BK L 0-2 1606 1589 34.9% 25.4% 39.7% -10.7 7
2026-05-10 FC Copenhagen L 0-4 1668 1787 26.8% 24.0% 49.3% -16.2 17
2026-05-10 @ Silkeborg W 4-0 1787 1668 49.3% 24.0% 26.8% +16.2 19
2026-05-10 Midtjylland D 0-0 1751 1866 27.1% 24.1% 48.8% +0.8 16
2026-05-10 @ Nordsjaelland D 0-0 1866 1751 48.8% 24.1% 27.1% -0.8 14
2026-05-10 Aarhus GF L 0-2 1761 1811 35.0% 25.4% 39.6% -10.7 8
2026-05-10 @ Brondby W 2-0 1811 1761 39.6% 25.4% 35.0% +10.7 14
2026-05-11 Odense D 2-2 1670 1679 40.9% 25.3% 33.8% -0.2 9
2026-05-11 @ Randers D 2-2 1679 1670 33.8% 25.3% 40.9% +0.2 14
2026-05-17 Silkeborg W 4-1 1596 1652 34.2% 25.4% 40.5% +14.6 10
2026-05-17 @ Fredericia L 1-4 1652 1596 40.5% 25.4% 34.2% -14.6 17
2026-05-17 Vejle BK L 0-1 1680 1599 53.3% 22.8% 23.8% -7.8 14
2026-05-17 @ Odense W 1-0 1599 1680 23.8% 22.8% 53.3% +7.8 10
2026-05-17 Randers W 5-0 1804 1670 60.4% 20.1% 19.5% +14.4 22
2026-05-17 @ FC Copenhagen L 0-5 1670 1804 19.5% 20.1% 60.4% -14.4 9
2026-05-17 Viborg W 6-2 1822 1737 53.9% 22.6% 23.4% +10.1 17
2026-05-17 @ Aarhus GF L 2-6 1737 1822 23.4% 22.6% 53.9% -10.1 11
2026-05-17 Brondby L 2-3 1866 1750 58.0% 21.1% 20.9% -7.5 14
2026-05-17 @ Midtjylland W 3-2 1750 1866 20.9% 21.1% 58.0% +7.5 11
2026-05-17 Nordsjaelland L 1-4 1707 1752 35.8% 25.4% 38.8% -13.3 8
2026-05-17 @ Sonderjyske W 4-1 1752 1707 38.8% 25.4% 35.8% +13.3 19

Playoff Game Log

Every playoff game for the team selected at the top of the tab (empty if they didn't reach the postseason). Sort any column by clicking its header. @ before an opponent name indicates an away game; the record column shows the team's running playoff W-L.

Date Opponent Score Pre Elo Opp Elo Win % Tie % Loss % Elo Δ Record
2026-05-21 FC Copenhagen L 1-3 1758 1818 33.7% 25.3% 41.0% -9.0 0-1
2026-05-21 @ Brondby W 3-1 1818 1758 41.0% 25.3% 33.7% +9.0 1-0

Biggest Upsets

The 25 games where the underdog won despite the lowest pregame win probability. Underdog Win % is the winner's pregame chance of winning the game (lower = bigger upset). @ before a team name indicates the away side. An asterisk (*) after the date marks a playoff game.

# Date Underdog Win % Winning Team Losing Team
Team Elo Score Team Elo Score
1 2025-12-01 15.58% Fredericia 1599 3 @ Brondby 1795 1
2 2026-03-15 19.11% Nordsjaelland 1726 1 @ Midtjylland 1866 0
3 2026-03-22 19.43% Fredericia 1611 2 @ FC Copenhagen 1746 1
4 2026-05-17 20.89% Brondby 1750 3 @ Midtjylland 1866 2
5 2025-11-09 21.40% @ Vejle BK 1629 2 FC Copenhagen 1806 0
6 2025-08-08 22.68% Aarhus GF 1713 3 @ FC Copenhagen 1807 2
7 2025-12-08 23.10% @ Vejle BK 1623 2 Brondby 1780 1
8 2026-02-22 23.32% Fredericia 1613 2 @ Randers 1699 1
9 2025-11-09 23.76% Sonderjyske 1700 3 @ Aarhus GF 1781 2
10 2026-05-17 23.84% Vejle BK 1599 1 @ Odense 1680 0
11 2026-03-22 24.50% Silkeborg 1640 3 @ Randers 1713 0
12 2025-12-07 24.63% Sonderjyske 1714 2 @ FC Copenhagen 1786 0
13 2025-08-03 24.91% Viborg 1705 2 @ Brondby 1774 0
14 2026-03-01 24.92% Randers 1691 2 @ FC Copenhagen 1760 1
15 2025-11-02 25.21% Odense 1651 4 @ Nordsjaelland 1717 2
16 2025-10-17 25.75% @ Silkeborg 1689 3 FC Copenhagen 1817 1
17 2025-11-23 26.29% @ Sonderjyske 1707 2 Midtjylland 1831 1
18 2025-10-19 26.85% Odense 1655 2 @ Viborg 1704 1
19 2026-05-08 27.30% Sonderjyske 1700 1 @ Viborg 1745 0
20 2026-02-14 27.62% Nordsjaelland 1725 2 @ FC Copenhagen 1767 1
21 2025-08-24 27.87% @ Sonderjyske 1666 2 Brondby 1774 0
22 2025-07-27 28.03% Fredericia 1675 2 @ Silkeborg 1714 0
23 2026-03-15 28.83% Viborg 1735 1 @ Brondby 1766 0
24 2026-04-26 29.20% @ Sonderjyske 1684 3 Brondby 1780 0
25 2026-02-09 29.58% Fredericia 1606 3 @ Vejle BK 1630 2

Biggest Elo Changes

The 25 games that moved the Elo needle the most. Elo Δ is the magnitude of the rating swing; both teams move by the same amount per game (one up, one down). The winning side is shown first. An asterisk (*) after the date marks a playoff game.

# Date Elo Δ Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2026-04-05 24.81 @ FC Copenhagen 7 1738 52.94% Silkeborg 0 1661 24.12%
2 2026-04-17 24.73 @ Brondby 6 1750 47.51% Sonderjyske 0 1712 28.10%
3 2025-12-07 23.14 @ Nordsjaelland 5 1697 43.05% Silkeborg 0 1691 31.82%
4 2025-08-01 21.63 @ Vejle BK 4 1664 36.33% Odense 0 1704 38.20%
5 2026-03-22 21.12 Silkeborg 3 1640 24.50% @ Randers 0 1713 52.38%
6 2026-04-26 19.13 @ Sonderjyske 3 1684 29.20% Brondby 0 1780 46.14%
7 2025-11-30 19.03 @ Midtjylland 6 1824 57.02% Nordsjaelland 0 1716 21.48%
8 2025-08-18 17.79 Aarhus GF 5 1721 36.99% @ Odense 1 1688 37.54%
9 2025-11-23 17.78 @ Nordsjaelland 5 1698 53.48% Fredericia 0 1617 23.75%
10 2026-05-10 16.16 FC Copenhagen 4 1787 49.27% @ Silkeborg 0 1668 26.75%
11 2025-10-05 16.15 Nordsjaelland 3 1700 37.57% @ Vejle BK 0 1663 36.96%
12 2025-09-22 15.75 @ Randers 3 1697 38.82% Nordsjaelland 0 1721 35.73%
13 2025-11-09 15.56 @ Vejle BK 2 1629 21.40% FC Copenhagen 0 1806 57.17%
14 2025-12-01 15.31 Fredericia 3 1599 15.58% @ Brondby 1 1795 68.12%
15 2026-05-17 14.59 @ Fredericia 4 1596 34.16% Silkeborg 1 1652 40.48%
16 2025-12-07 14.50 Sonderjyske 2 1714 24.63% @ FC Copenhagen 0 1786 52.19%
17 2025-11-09 14.49 Viborg 3 1704 42.69% @ Fredericia 0 1631 32.14%
18 2026-03-13 14.46 Randers 3 1699 42.78% @ Fredericia 0 1626 32.06%
19 2025-08-03 14.41 Viborg 2 1705 24.91% @ Brondby 0 1774 51.79%
20 2026-05-17 14.41 @ FC Copenhagen 5 1804 60.39% Randers 0 1670 19.52%
21 2025-08-31 14.31 FC Copenhagen 5 1806 46.87% @ Randers 1 1705 28.61%
22 2025-10-26 13.80 Midtjylland 4 1809 55.02% @ Fredericia 0 1648 22.74%
23 2025-10-20 13.70 @ Sonderjyske 3 1682 45.12% Fredericia 0 1661 30.05%
24 2025-08-24 13.54 @ Sonderjyske 2 1666 27.87% Brondby 0 1774 47.81%
25 2025-07-27 13.50 Fredericia 2 1675 28.03% @ Silkeborg 0 1714 47.60%