Home / Leagues / Denmark / Superliga / 2020-21

2020-21 Superliga Season

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

Final

Champion

Brondby

61 points

Relegated

No relegation

Biggest Overachiever

FC Copenhagen

7.30 points above expected

55 points · 47.70 expected points

Biggest Disappointment

Lyngby

5.47 points below expected

26 points · 31.47 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 Brondby 22 14 3 5 45 40 24 +16 35.6 +9.41
2 Midtjylland 22 13 4 5 43 35 20 +15 39.1 +3.94
3 Aarhus GF 22 10 8 4 38 35 22 +13 35.8 +2.22
4 FC Copenhagen 22 10 5 7 35 39 35 +4 35.0 -0.04
5 Randers 22 9 5 8 32 31 21 +10 30.0 +2.01
6 Nordsjaelland 22 7 8 7 29 35 30 +5 31.1 -2.12
7 Sonderjyske 22 8 4 10 28 30 32 -2 27.0 +1.04
8 Odense 22 7 7 8 28 25 28 -3 28.1 -0.11
9 Aalborg 22 7 7 8 28 24 30 -6 30.4 -2.44
10 Vejle BK 22 6 6 10 24 25 37 -12 25.2 -1.24
11 Lyngby 22 5 5 12 20 25 43 -18 20.1 -0.09
12 Horsens 22 2 6 14 12 15 37 -22 21.6 -9.56
# Team GP W D L Pts GF GA GD SimPts vsSim
1 Brondby 32 19 4 9 61 58 38 +20 59.7 +1.33
2 Midtjylland 32 18 6 8 60 57 33 +24 58.7 +1.34
3 FC Copenhagen 32 16 7 9 55 61 53 +8 47.7 +7.30
4 Aarhus GF 32 13 9 10 48 48 42 +6 52.7 -4.73
5 Nordsjaelland 32 11 10 11 43 51 51 0 41.2 +1.80
6 Randers 32 11 7 14 40 43 38 +5 42.9 -2.94
7 Aalborg 32 12 10 10 46 44 41 +3 43.9 +2.10
8 Sonderjyske 32 13 5 14 44 45 48 -3 42.0 +2.02
9 Odense 32 11 10 11 43 40 39 +1 43.4 -0.38
10 Vejle BK 32 9 11 12 38 42 50 -8 37.7 +0.27
11 Lyngby 32 6 8 18 26 36 63 -27 31.5 -5.47
12 Horsens 32 5 9 18 24 30 59 -29 22.9 +1.14

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

Aarhus GF 3
Aalborg 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 1756 60 39.06 +20.94 76.7% 17 29 35 39 43 49 58
Brondby 1723 61 35.59 +25.41 95.3% 15 26 32 36 40 45 59
FC Copenhagen 1701 55 35.04 +19.96 53.2% 13 25 31 35 39 45 57
Aarhus GF 1677 48 35.78 +12.22 67.9% 15 26 32 36 40 45 59
Nordsjaelland 1633 43 31.12 +11.88 40.0% 6 21 27 31 35 41 54
Aalborg 1629 46 30.44 +15.56 37.6% 9 21 26 30 34 40 52
Randers 1623 40 29.99 +10.01 67.2% 8 21 26 30 34 40 52
Odense 1606 43 28.11 +14.89 53.5% 7 19 24 28 32 38 52
Sonderjyske 1567 44 26.96 +17.04 61.5% 8 18 23 27 31 37 49
Vejle BK 1558 38 25.24 +12.76 45.4% 7 16 21 25 29 35 48
Lyngby 1481 26 20.09 +5.91 54.2% 4 11 16 20 24 29 42
Horsens 1479 24 21.56 +2.44 4.7% 4 13 18 21 25 31 44

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 AAL AG BRO FC HOR LYN MID NOR ODE RAN SON VB
Aalborg
0-1-1
2.28
1-1-0
2.25
1-0-1
2.30
1-1-2
7.20
2-2-0
7.20
0-1-1
1.95
0-2-0
2.58
1-0-3
5.87
1-1-0
2.64
3-0-1
6.07
2-1-1
6.22
Aarhus GF
1-1-0
3.11
1-2-1
5.10
0-1-3
5.48
2-0-0
3.88
2-0-0
4.19
1-0-3
4.69
1-0-3
6.21
1-1-0
3.34
2-2-0
6.30
1-1-0
3.44
1-1-0
3.67
Brondby
0-1-1
3.15
1-2-1
5.63
2-0-2
5.56
2-0-0
3.87
2-0-0
4.18
1-0-3
4.76
4-0-0
6.17
2-0-0
3.34
2-1-1
6.65
1-0-1
3.41
2-0-0
3.60
FC Copenhagen
1-0-1
3.09
3-1-0
5.26
2-0-2
5.17
2-0-0
3.92
1-1-0
4.18
1-1-2
4.70
2-2-0
5.95
0-1-1
3.32
1-0-3
6.34
2-0-0
3.23
1-1-0
3.60
Horsens
2-1-1
3.75
0-0-2
1.67
0-0-2
1.67
0-0-2
1.64
1-1-2
5.36
0-1-1
1.43
0-2-0
1.89
0-2-2
3.96
0-0-2
2.11
1-0-3
4.28
1-2-1
4.45
Lyngby
0-2-2
3.76
0-0-2
1.45
0-0-2
1.45
0-1-1
1.45
2-1-1
5.36
1-0-1
1.36
0-0-2
1.91
1-0-3
4.01
1-0-1
1.79
1-1-2
4.29
0-3-1
4.44
Midtjylland
1-1-0
3.50
3-0-1
6.07
3-0-1
5.99
2-1-1
6.05
1-1-0
4.21
1-0-1
4.32
2-0-2
6.89
1-1-0
3.65
2-2-0
7.04
0-0-2
3.81
2-0-0
3.97
Nordsjaelland
0-2-0
2.78
3-0-1
4.58
0-0-4
4.62
0-2-2
4.80
0-2-0
3.59
2-0-0
3.55
2-0-2
4.00
0-1-1
2.94
3-1-0
5.51
1-0-1
3.17
0-2-0
3.23
Odense
3-0-1
4.86
0-1-1
2.08
0-0-2
2.08
1-1-0
2.09
2-2-0
6.93
3-0-1
6.89
0-1-1
1.83
1-1-0
2.44
1-0-1
2.46
0-3-1
5.70
0-1-3
6.05
Randers
0-1-1
2.71
0-2-2
4.49
1-1-2
4.19
3-0-1
4.44
2-0-0
3.35
1-0-1
3.72
0-2-2
3.89
0-1-3
5.23
1-0-1
2.90
1-0-1
2.87
2-0-0
2.98
Sonderjyske
1-0-3
4.69
0-1-1
2.00
1-0-1
2.02
0-0-2
2.19
3-0-1
6.54
2-1-1
6.57
2-0-0
1.72
1-0-1
2.22
1-3-0
5.03
1-0-1
2.49
1-0-3
5.78
Vejle BK
1-1-2
4.55
0-1-1
1.82
0-0-2
1.89
0-1-1
1.89
1-2-1
6.34
1-3-0
6.37
0-0-2
1.60
0-2-0
2.18
3-1-0
4.71
0-0-2
2.43
3-0-1
4.97

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
06.25%6.51%5.47%3.39%1.56%0.26%23.44%
16.51%10.94%9.38%3.65%1.82%32.29%
25.47%9.38%6.77%3.39%1.56%26.56%
33.39%3.65%3.39%1.04%0.52%11.98%
41.56%1.82%1.56%0.52%5.47%
5+0.26%0.26%
Total23.44%32.29%26.56%11.98%5.47%0.26%100%

Summary Statistics

Mean scored1.45
Mean allowed1.45
StdDev scored1.15
StdDev allowed1.15
Mean total goals/game2.89
Correlation (home vs away score)-0.057
Sample size (games)192
↓ Scored | Allowed →012345+Total
09.38%6.25%6.25%3.12%25.00%
16.25%15.62%6.25%6.25%34.38%
23.12%12.50%6.25%3.12%25.00%
39.38%9.38%
46.25%6.25%
5+
Total25.00%34.38%28.12%12.50%100%

Aalborg — Summary Statistics

Mean scored1.38
Mean allowed1.28
StdDev scored1.16
StdDev allowed0.99
Mean total goals/game2.66
Correlation (scored vs allowed)-0.039
Games played32
↓ Scored | Allowed →012345+Total
06.25%6.25%3.12%3.12%18.75%
19.38%15.62%9.38%3.12%3.12%40.62%
26.25%6.25%3.12%3.12%18.75%
36.25%6.25%3.12%15.62%
46.25%6.25%
5+
Total28.12%34.38%21.88%9.38%6.25%100%

Aarhus GF — Summary Statistics

Mean scored1.50
Mean allowed1.31
StdDev scored1.16
StdDev allowed1.18
Mean total goals/game2.81
Correlation (scored vs allowed)0.000
Games played32
↓ Scored | Allowed →012345+Total
03.12%6.25%3.12%12.50%
13.12%6.25%6.25%6.25%21.88%
29.38%25.00%3.12%3.12%3.12%43.75%
36.25%6.25%3.12%15.62%
43.12%3.12%6.25%
5+
Total25.00%46.88%15.62%9.38%3.12%100%

Brondby — Summary Statistics

Mean scored1.81
Mean allowed1.19
StdDev scored1.06
StdDev allowed1.03
Mean total goals/game3.00
Correlation (scored vs allowed)-0.203
Games played32
↓ Scored | Allowed →012345+Total
03.12%3.12%6.25%
16.25%3.12%18.75%3.12%31.25%
26.25%12.50%12.50%3.12%34.38%
36.25%12.50%3.12%21.88%
46.25%6.25%
5+
Total15.62%21.88%50.00%6.25%6.25%100%

FC Copenhagen — Summary Statistics

Mean scored1.91
Mean allowed1.66
StdDev scored1.03
StdDev allowed1.04
Mean total goals/game3.56
Correlation (scored vs allowed)0.029
Games played32
↓ Scored | Allowed →012345+Total
06.25%9.38%9.38%15.62%3.12%43.75%
13.12%12.50%15.62%3.12%34.38%
23.12%6.25%9.38%
33.12%3.12%3.12%9.38%
43.12%3.12%
5+
Total9.38%28.12%34.38%25.00%3.12%100%

Horsens — Summary Statistics

Mean scored0.94
Mean allowed1.84
StdDev scored1.11
StdDev allowed1.02
Mean total goals/game2.78
Correlation (scored vs allowed)0.048
Games played32
↓ Scored | Allowed →012345+Total
09.38%9.38%6.25%9.38%6.25%40.62%
13.12%3.12%6.25%6.25%18.75%
23.12%6.25%12.50%6.25%3.12%31.25%
33.12%3.12%6.25%
43.12%3.12%
5+
Total15.62%25.00%25.00%15.62%18.75%100%

Lyngby — Summary Statistics

Mean scored1.12
Mean allowed1.97
StdDev scored1.13
StdDev allowed1.36
Mean total goals/game3.09
Correlation (scored vs allowed)0.024
Games played32
↓ Scored | Allowed →012345+Total
09.38%3.12%6.25%18.75%
115.62%6.25%3.12%3.12%3.12%31.25%
26.25%6.25%3.12%3.12%3.12%21.88%
33.12%6.25%3.12%12.50%
46.25%6.25%12.50%
5+3.12%3.12%
Total43.75%28.12%15.62%6.25%6.25%100%

Midtjylland — Summary Statistics

Mean scored1.78
Mean allowed1.03
StdDev scored1.41
StdDev allowed1.20
Mean total goals/game2.81
Correlation (scored vs allowed)-0.110
Games played32
↓ Scored | Allowed →012345+Total
06.25%6.25%6.25%18.75%
16.25%15.62%3.12%6.25%31.25%
23.12%6.25%15.62%6.25%31.25%
33.12%3.12%3.12%9.38%
46.25%3.12%9.38%
5+
Total12.50%37.50%28.12%21.88%100%

Nordsjaelland — Summary Statistics

Mean scored1.59
Mean allowed1.59
StdDev scored1.19
StdDev allowed0.98
Mean total goals/game3.19
Correlation (scored vs allowed)-0.091
Games played32
↓ Scored | Allowed →012345+Total
06.25%9.38%6.25%3.12%25.00%
16.25%21.88%3.12%6.25%37.50%
29.38%9.38%3.12%3.12%3.12%28.12%
33.12%3.12%6.25%
43.12%3.12%
5+
Total28.12%40.62%15.62%12.50%3.12%100%

Odense — Summary Statistics

Mean scored1.25
Mean allowed1.22
StdDev scored1.02
StdDev allowed1.10
Mean total goals/game2.47
Correlation (scored vs allowed)-0.108
Games played32
↓ Scored | Allowed →012345+Total
09.38%9.38%6.25%25.00%
13.12%12.50%25.00%40.62%
212.50%12.50%
312.50%3.12%3.12%18.75%
43.12%3.12%
5+
Total25.00%37.50%34.38%3.12%100%

Randers — Summary Statistics

Mean scored1.34
Mean allowed1.19
StdDev scored1.15
StdDev allowed0.93
Mean total goals/game2.53
Correlation (scored vs allowed)-0.002
Games played32
↓ Scored | Allowed →012345+Total
09.38%3.12%3.12%15.62%
16.25%12.50%6.25%3.12%6.25%34.38%
215.62%12.50%3.12%9.38%3.12%43.75%
33.12%3.12%6.25%
4
5+
Total25.00%37.50%12.50%12.50%12.50%100%

Sonderjyske — Summary Statistics

Mean scored1.41
Mean allowed1.50
StdDev scored0.84
StdDev allowed1.34
Mean total goals/game2.91
Correlation (scored vs allowed)-0.215
Games played32
↓ Scored | Allowed →012345+Total
012.50%3.12%9.38%3.12%3.12%31.25%
19.38%6.25%9.38%6.25%31.25%
23.12%12.50%3.12%18.75%
33.12%3.12%3.12%3.12%12.50%
43.12%3.12%6.25%
5+
Total28.12%15.62%37.50%12.50%3.12%3.12%100%

Vejle BK — Summary Statistics

Mean scored1.31
Mean allowed1.56
StdDev scored1.23
StdDev allowed1.29
Mean total goals/game2.88
Correlation (scored vs allowed)0.048
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 FC Copenhagen 55 47.7 +7.30
2 Aalborg 46 43.9 +2.10
3 Sonderjyske 44 42.0 +2.02
4 Nordsjaelland 43 41.2 +1.80
5 Midtjylland 60 58.7 +1.34

Biggest Disappointments

# Team Actual Sim vsSim
1 Lyngby 26 31.5 -5.47
2 Aarhus GF 48 52.7 -4.73
3 Randers 40 42.9 -2.94
4 Odense 43 43.4 -0.38
5 Vejle BK 38 37.7 +0.27

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 Randers 6 Nov 23 – Feb 2 1 in 214
2 Lyngby 3 Mar 1 – Mar 7 1 in 148
3 Nordsjaelland 4 Mar 12 – Apr 11 1 in 45
4 Brondby 4 Sep 13 – Oct 2 1 in 32
5 Vejle BK 3 Oct 4 – Oct 26 1 in 31

Longest Losing Streaks

# Team Games Dates Probability
1 Nordsjaelland 5 Dec 6 – Feb 7 1 in 221
2 Lyngby 6 Apr 21 – May 20 1 in 153
3 Sonderjyske 4 Feb 7 – Mar 1 1 in 71
4 Randers 4 Sep 26 – Oct 25 1 in 41
5 Brondby 3 Oct 18 – Nov 1 1 in 36

Longest Unbeaten Streaks

# Team Games Dates Probability
1 Nordsjaelland 10 Feb 14 – Apr 18 1 in 66
2 Lyngby 4 Feb 22 – Mar 7 1 in 46
3 Sonderjyske 7 Sep 27 – Nov 22 1 in 28
4 FC Copenhagen 10 Nov 29 – Mar 3 1 in 19
5 Horsens 4 Feb 21 – Mar 7 1 in 15

Longest Winless Streaks

# Team Games Dates Probability
1 Lyngby 13 Sep 13 – Dec 20 1 in 35
2 Nordsjaelland 8 Dec 6 – Feb 28 1 in 32
3 Randers 7 Feb 8 – Mar 15 1 in 23
4 Vejle BK 8 Oct 30 – Feb 2 1 in 16
5 Sonderjyske 6 Feb 7 – Mar 8 1 in 14

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
Brondby17.47%18.05%16.02%13.39%11.02%8.26%6.10%4.00%2.86%1.65%0.90%0.28%
Midtjylland37.40%21.77%14.53%9.41%6.05%4.55%2.67%1.65%1.11%0.45%0.34%0.07%
FC Copenhagen13.43%15.81%15.27%14.31%11.94%9.74%7.49%5.22%3.52%1.96%0.96%0.35%
Aarhus GF17.82%17.73%16.94%13.95%10.35%7.92%6.03%4.02%2.85%1.56%0.57%0.26%
Nordsjaelland4.50%7.94%9.38%11.68%12.31%12.23%11.98%10.09%8.33%6.29%3.58%1.69%
Randers3.29%5.79%7.95%10.12%11.75%12.58%12.20%11.96%9.67%7.77%4.73%2.19%
Aalborg3.09%5.93%8.49%9.88%11.71%12.50%12.35%11.93%9.54%7.88%4.61%2.09%
Sonderjyske0.96%2.20%3.51%5.39%7.36%9.32%11.90%13.00%15.29%13.81%11.16%6.10%
Odense1.44%3.07%4.80%6.63%9.33%10.88%12.62%13.71%13.53%11.75%7.81%4.43%
Vejle BK0.44%1.22%2.20%3.56%5.21%6.94%8.88%11.78%15.27%17.02%16.46%11.02%
Lyngby0.03%0.13%0.33%0.61%1.11%2.16%3.21%5.46%8.10%13.84%24.41%40.61%
Horsens0.13%0.36%0.58%1.07%1.86%2.92%4.57%7.18%9.93%16.02%24.47%30.91%

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).

No Trend Data Yet

Season Trends will appear here once midseason progression snapshots are available for this season.

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

Aarhus GF 3
Aalborg 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%
Brondby 99.7% 0.3%
Aarhus GF 99.7% 0.3%
FC Copenhagen 99.5% 0.5%
Nordsjaelland 97.0% 3.0%
Randers 95.8% 4.2%
Aalborg 94.4% 5.6%
Odense 89.9% 10.1%
Sonderjyske 83.4% 16.6%
Vejle BK 70.5% 29.5%
Horsens 37.4% 62.6%
Lyngby 33.0% 67.0%

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
2020-09-11 Midtjylland W 2-0 1568 1714 22.3% 26.4% 51.4% +12.7 3
2020-09-11 @ Sonderjyske L 0-2 1714 1568 51.4% 26.4% 22.3% -12.7 0
2020-09-13 Nordsjaelland W 3-2 1670 1631 44.5% 29.9% 25.6% +3.7 3
2020-09-13 @ Brondby L 2-3 1631 1670 25.6% 29.9% 44.5% -3.7 0
2020-09-13 Randers L 0-3 1560 1602 32.3% 32.3% 35.4% -13.6 0
2020-09-13 @ Horsens W 3-0 1602 1560 35.4% 32.3% 32.3% +13.6 3
2020-09-13 Aalborg D 0-0 1530 1635 25.3% 29.7% 45.0% +0.6 1
2020-09-13 @ Lyngby D 0-0 1635 1530 45.0% 29.7% 25.3% -0.6 1
2020-09-13 FC Copenhagen W 3-2 1600 1682 27.6% 31.1% 41.2% +5.2 3
2020-09-13 @ Odense L 2-3 1682 1600 41.2% 31.1% 27.6% -5.2 0
2020-09-14 Vejle BK W 4-2 1672 1569 54.6% 24.3% 21.0% +4.7 3
2020-09-14 @ Aarhus GF L 2-4 1569 1672 21.0% 24.3% 54.6% -4.7 0
2020-09-19 Lyngby W 1-0 1701 1530 65.4% 17.0% 17.6% +2.4 3
2020-09-19 @ Midtjylland L 0-1 1530 1701 17.6% 17.0% 65.4% -2.4 1
2020-09-20 Brondby L 1-2 1677 1674 38.9% 31.8% 29.3% -5.3 0
2020-09-20 @ FC Copenhagen W 2-1 1674 1677 29.3% 31.8% 38.9% +5.3 6
2020-09-20 Nordsjaelland D 1-1 1606 1627 35.2% 32.3% 32.4% -0.1 4
2020-09-20 @ Odense D 1-1 1627 1606 32.4% 32.3% 35.2% +0.1 1
2020-09-20 Aarhus GF D 1-1 1616 1676 30.0% 31.9% 38.1% +0.2 4
2020-09-20 @ Randers D 1-1 1676 1616 38.1% 31.9% 30.0% -0.2 4
2020-09-20 Sonderjyske W 4-1 1564 1581 36.0% 32.3% 31.7% +11.3 3
2020-09-20 @ Vejle BK L 1-4 1581 1564 31.7% 32.3% 36.0% -11.3 3
2020-09-21 Horsens W 1-0 1635 1546 52.3% 25.8% 21.9% +3.4 4
2020-09-21 @ Aalborg L 0-1 1546 1635 21.9% 25.8% 52.3% -3.4 0
2020-09-26 Randers W 1-0 1703 1616 52.2% 25.9% 22.0% +3.4 6
2020-09-26 @ Midtjylland L 0-1 1616 1703 22.0% 25.9% 52.2% -3.4 4
2020-09-27 Odense W 4-2 1676 1605 49.5% 27.4% 23.1% +5.3 7
2020-09-27 @ Aarhus GF L 2-4 1605 1676 23.1% 27.4% 49.5% -5.3 4
2020-09-27 Horsens W 2-1 1679 1543 60.0% 20.7% 19.3% +2.7 9
2020-09-27 @ Brondby L 1-2 1543 1679 19.3% 20.7% 60.0% -2.7 0
2020-09-27 Aalborg W 3-1 1569 1638 29.0% 31.7% 39.3% +9.2 6
2020-09-27 @ Sonderjyske L 1-3 1638 1569 39.3% 31.7% 29.0% -9.2 4
2020-09-27 FC Copenhagen D 2-2 1575 1671 26.2% 30.3% 43.5% +0.4 4
2020-09-27 @ Vejle BK D 2-2 1671 1575 43.5% 30.3% 26.2% -0.3 1
2020-09-28 Lyngby W 4-1 1627 1528 54.1% 24.7% 21.2% +7.5 4
2020-09-28 @ Nordsjaelland L 1-4 1528 1627 21.2% 24.7% 54.1% -7.6 1
2020-10-02 Brondby L 1-2 1612 1682 28.9% 31.7% 39.4% -4.3 4
2020-10-02 @ Randers W 2-1 1682 1612 39.4% 31.7% 28.9% +4.3 12
2020-10-04 Aarhus GF D 1-1 1629 1682 31.0% 32.2% 36.9% +0.2 5
2020-10-04 @ Aalborg D 1-1 1682 1629 36.9% 32.2% 31.0% -0.2 8
2020-10-04 Nordsjaelland W 3-2 1671 1635 44.0% 30.1% 25.9% +3.7 4
2020-10-04 @ FC Copenhagen L 2-3 1635 1671 25.9% 30.1% 44.0% -3.7 4
2020-10-04 Midtjylland D 2-2 1540 1707 21.0% 24.3% 54.7% +0.7 1
2020-10-04 @ Horsens D 2-2 1707 1540 54.7% 24.3% 21.0% -0.7 7
2020-10-04 Sonderjyske D 2-2 1520 1579 30.3% 32.0% 37.7% +0.2 2
2020-10-04 @ Lyngby D 2-2 1579 1520 37.7% 32.0% 30.3% -0.2 7
2020-10-04 Vejle BK L 0-1 1600 1576 42.2% 30.8% 27.0% -5.9 4
2020-10-04 @ Odense W 1-0 1576 1600 27.0% 30.8% 42.2% +5.9 7
2020-10-17 Odense W 3-1 1706 1594 56.1% 23.4% 20.5% +5.1 10
2020-10-17 @ Midtjylland L 1-3 1594 1706 20.5% 23.4% 56.1% -5.1 4
2020-10-18 Horsens W 3-0 1681 1541 60.7% 20.3% 19.1% +7.6 11
2020-10-18 @ Aarhus GF L 0-3 1541 1681 19.1% 20.3% 60.7% -7.6 1
2020-10-18 Aalborg L 1-2 1675 1629 45.5% 29.5% 25.0% -5.9 4
2020-10-18 @ FC Copenhagen W 2-1 1629 1675 25.0% 29.5% 45.5% +5.9 8
2020-10-18 Brondby W 2-0 1578 1686 25.1% 29.5% 45.3% +11.7 10
2020-10-18 @ Sonderjyske L 0-2 1686 1578 45.3% 29.5% 25.1% -11.7 12
2020-10-18 Lyngby W 3-2 1582 1520 48.0% 28.3% 23.8% +3.4 10
2020-10-18 @ Vejle BK L 2-3 1520 1582 23.8% 28.3% 48.0% -3.4 2
2020-10-19 Randers W 1-0 1631 1608 42.0% 30.9% 27.1% +4.3 7
2020-10-19 @ Nordsjaelland L 0-1 1608 1631 27.1% 30.9% 42.0% -4.3 4
2020-10-23 Odense L 0-3 1517 1589 28.6% 31.6% 39.8% -12.4 2
2020-10-23 @ Lyngby W 3-0 1589 1517 39.8% 31.6% 28.6% +12.4 7
2020-10-24 Midtjylland L 2-3 1674 1711 33.1% 32.4% 34.5% -4.5 12
2020-10-24 @ Brondby W 3-2 1711 1674 34.5% 32.4% 33.1% +4.5 13
2020-10-25 FC Copenhagen L 0-1 1689 1669 41.5% 31.0% 27.4% -5.9 11
2020-10-25 @ Aarhus GF W 1-0 1669 1689 27.4% 31.0% 41.5% +5.9 7
2020-10-25 Nordsjaelland D 1-1 1533 1635 25.6% 29.9% 44.5% +0.5 2
2020-10-25 @ Horsens D 1-1 1635 1533 44.5% 29.9% 25.6% -0.5 8
2020-10-25 Sonderjyske L 1-2 1604 1590 40.6% 31.4% 28.1% -5.5 4
2020-10-25 @ Randers W 2-1 1590 1604 28.1% 31.4% 40.6% +5.4 13
2020-10-26 Vejle BK L 1-3 1635 1585 46.2% 29.1% 24.7% -10.3 8
2020-10-26 @ Aalborg W 3-1 1585 1635 24.7% 29.1% 46.2% +10.3 13
2020-10-30 Randers L 0-3 1595 1598 38.0% 32.0% 30.0% -15.2 13
2020-10-30 @ Vejle BK W 3-0 1598 1595 30.0% 32.0% 38.0% +15.2 7
2020-10-31 Midtjylland W 4-1 1635 1716 27.7% 31.2% 41.1% +13.5 11
2020-10-31 @ Nordsjaelland L 1-4 1716 1635 41.1% 31.2% 27.7% -13.5 13
2020-11-01 Brondby W 2-1 1625 1670 31.9% 32.3% 35.8% +5.0 11
2020-11-01 @ Aalborg L 1-2 1670 1625 35.8% 32.3% 31.9% -5.0 12
2020-11-01 Lyngby W 4-2 1675 1505 65.3% 17.1% 17.7% +3.6 10
2020-11-01 @ FC Copenhagen L 2-4 1505 1675 17.7% 17.1% 65.3% -3.6 2
2020-11-01 Horsens W 1-0 1601 1534 49.0% 27.7% 23.3% +3.7 10
2020-11-01 @ Odense L 0-1 1534 1601 23.3% 27.7% 49.0% -3.7 2
2020-11-02 Aarhus GF D 1-1 1596 1683 27.0% 30.8% 42.2% +0.4 14
2020-11-02 @ Sonderjyske D 1-1 1683 1596 42.2% 30.8% 27.0% -0.4 12
2020-11-06 Aalborg L 1-2 1614 1630 36.1% 32.3% 31.7% -5.0 7
2020-11-06 @ Randers W 2-1 1630 1614 31.7% 32.3% 36.1% +5.0 14
2020-11-08 Odense W 3-1 1665 1605 47.7% 28.4% 23.9% +6.2 15
2020-11-08 @ Brondby L 1-3 1605 1665 23.9% 28.4% 47.7% -6.2 10
2020-11-08 Sonderjyske L 0-3 1530 1596 29.3% 31.8% 38.9% -12.6 2
2020-11-08 @ Horsens W 3-0 1596 1530 38.9% 31.8% 29.3% +12.6 17
2020-11-08 Aarhus GF L 1-2 1501 1683 20.2% 22.7% 57.1% -2.9 2
2020-11-08 @ Lyngby W 2-1 1683 1501 57.1% 22.7% 20.2% +2.9 15
2020-11-08 FC Copenhagen W 4-0 1702 1678 42.1% 30.8% 27.0% +15.4 16
2020-11-08 @ Midtjylland L 0-4 1678 1702 27.0% 30.8% 42.1% -15.4 10
2020-11-08 Vejle BK D 1-1 1648 1580 49.1% 27.7% 23.3% -0.7 12
2020-11-08 @ Nordsjaelland D 1-1 1580 1648 23.3% 27.7% 49.1% +0.7 14
2020-11-20 Horsens D 1-1 1498 1517 35.6% 32.3% 32.1% -0.1 3
2020-11-20 @ Lyngby D 1-1 1517 1498 32.1% 32.3% 35.6% +0.1 3
2020-11-22 Nordsjaelland D 1-1 1635 1648 36.5% 32.2% 31.2% -0.1 15
2020-11-22 @ Aalborg D 1-1 1648 1635 31.2% 32.2% 36.5% +0.1 13
2020-11-22 Midtjylland L 1-2 1685 1718 33.7% 32.4% 33.9% -4.8 15
2020-11-22 @ Aarhus GF W 2-1 1718 1685 33.9% 32.4% 33.7% +4.8 19
2020-11-22 Sonderjyske D 1-1 1599 1609 37.0% 32.1% 30.8% -0.2 11
2020-11-22 @ Odense D 1-1 1609 1599 30.8% 32.1% 37.0% +0.2 18
2020-11-22 Brondby L 0-2 1581 1671 26.8% 30.7% 42.6% -8.0 14
2020-11-22 @ Vejle BK W 2-0 1671 1581 42.6% 30.7% 26.8% +8.0 18
2020-11-23 Randers L 1-2 1663 1608 46.9% 28.8% 24.3% -6.0 10
2020-11-23 @ FC Copenhagen W 2-1 1608 1663 24.3% 28.8% 46.9% +6.0 10
2020-11-27 Odense W 2-1 1614 1599 40.8% 31.3% 27.9% +4.2 13
2020-11-27 @ Randers L 1-2 1599 1614 27.9% 31.3% 40.8% -4.2 11
2020-11-28 Aalborg D 0-0 1722 1635 52.2% 25.9% 21.9% -1.0 20
2020-11-28 @ Midtjylland D 0-0 1635 1722 21.9% 25.9% 52.2% +1.0 16
2020-11-29 Vejle BK W 3-1 1518 1573 30.6% 32.1% 37.3% +8.9 6
2020-11-29 @ Horsens L 1-3 1573 1518 37.3% 32.1% 30.6% -8.9 14
2020-11-29 Aarhus GF W 3-1 1648 1681 33.6% 32.4% 34.0% +8.4 16
2020-11-29 @ Nordsjaelland L 1-3 1681 1648 34.0% 32.4% 33.6% -8.4 15
2020-11-29 FC Copenhagen L 1-3 1609 1657 31.6% 32.2% 36.2% -8.0 18
2020-11-29 @ Sonderjyske W 3-1 1657 1609 36.2% 32.2% 31.6% +8.0 13
2020-11-30 Lyngby W 4-1 1679 1498 67.0% 15.9% 17.2% +5.4 21
2020-11-30 @ Brondby L 1-4 1498 1679 17.2% 15.9% 67.0% -5.4 3
2020-12-04 Aalborg W 2-1 1595 1636 32.5% 32.3% 35.2% +4.9 14
2020-12-04 @ Odense L 1-2 1636 1595 35.2% 32.3% 32.5% -5.0 16
2020-12-05 Midtjylland L 0-2 1564 1721 21.6% 25.2% 53.2% -6.3 14
2020-12-05 @ Vejle BK W 2-0 1721 1564 53.2% 25.2% 21.6% +6.3 23
2020-12-06 Horsens W 2-0 1665 1526 60.3% 20.5% 19.2% +5.3 16
2020-12-06 @ FC Copenhagen L 0-2 1526 1665 19.2% 20.5% 60.3% -5.3 6
2020-12-06 Randers L 0-3 1493 1619 23.7% 28.2% 48.2% -10.3 3
2020-12-06 @ Lyngby W 3-0 1619 1493 48.2% 28.2% 23.7% +10.3 16
2020-12-06 Nordsjaelland W 2-1 1601 1656 30.6% 32.1% 37.3% +5.2 21
2020-12-06 @ Sonderjyske L 1-2 1656 1601 37.3% 32.1% 30.6% -5.2 16
2020-12-07 Brondby W 3-1 1672 1685 36.6% 32.2% 31.2% +7.9 18
2020-12-07 @ Aarhus GF L 1-3 1685 1672 31.2% 32.2% 36.6% -7.9 21
2020-12-11 Vejle BK W 3-1 1629 1558 49.5% 27.4% 23.1% +5.9 19
2020-12-11 @ Randers L 1-3 1558 1629 23.1% 27.4% 49.5% -5.9 14
2020-12-13 Lyngby W 3-2 1631 1483 61.9% 19.4% 18.7% +2.4 19
2020-12-13 @ Aalborg L 2-3 1483 1631 18.7% 19.4% 61.9% -2.4 3
2020-12-13 Sonderjyske W 2-1 1677 1606 49.5% 27.4% 23.1% +3.4 24
2020-12-13 @ Brondby L 1-2 1606 1677 23.1% 27.4% 49.5% -3.4 21
2020-12-13 Aarhus GF L 1-2 1521 1680 21.5% 25.1% 53.5% -3.1 6
2020-12-13 @ Horsens W 2-1 1680 1521 53.5% 25.1% 21.5% +3.1 21
2020-12-13 FC Copenhagen L 0-1 1651 1670 35.6% 32.3% 32.0% -5.3 16
2020-12-13 @ Nordsjaelland W 1-0 1670 1651 32.0% 32.3% 35.6% +5.3 19
2020-12-14 Midtjylland D 1-1 1600 1728 23.5% 28.0% 48.5% +0.7 15
2020-12-14 @ Odense D 1-1 1728 1600 48.5% 28.0% 23.5% -0.7 24
2020-12-20 Aalborg W 3-0 1683 1633 46.2% 29.1% 24.6% +10.8 24
2020-12-20 @ Aarhus GF L 0-3 1633 1683 24.6% 29.1% 46.2% -10.8 19
2020-12-20 Odense D 1-1 1675 1600 50.2% 27.1% 22.8% -0.8 20
2020-12-20 @ FC Copenhagen D 1-1 1600 1675 22.8% 27.1% 50.2% +0.8 16
2020-12-20 Brondby L 1-2 1518 1680 21.3% 24.8% 53.9% -3.1 6
2020-12-20 @ Horsens W 2-1 1680 1518 53.9% 24.8% 21.3% +3.1 27
2020-12-20 Vejle BK D 0-0 1480 1552 28.7% 31.6% 39.7% +0.3 4
2020-12-20 @ Lyngby D 0-0 1552 1480 39.7% 31.6% 28.7% -0.3 15
2020-12-20 Randers L 0-1 1602 1635 33.7% 32.4% 33.9% -5.1 21
2020-12-20 @ Sonderjyske W 1-0 1635 1602 33.9% 32.4% 33.7% +5.1 22
2020-12-21 Nordsjaelland W 3-1 1727 1646 51.2% 26.5% 22.4% +5.7 27
2020-12-21 @ Midtjylland L 1-3 1646 1727 22.4% 26.5% 51.2% -5.7 16
2021-02-02 Horsens W 3-0 1640 1515 58.2% 22.0% 19.8% +8.1 25
2021-02-02 @ Randers L 0-3 1515 1640 19.8% 22.0% 58.2% -8.1 6
2021-02-02 Aarhus GF D 0-0 1551 1694 22.5% 26.7% 50.8% +0.9 16
2021-02-02 @ Vejle BK D 0-0 1694 1551 50.8% 26.7% 22.5% -0.9 25
2021-02-03 FC Copenhagen L 2-3 1622 1675 31.0% 32.2% 36.8% -4.3 19
2021-02-03 @ Aalborg W 3-2 1675 1622 36.8% 32.2% 31.0% +4.3 23
2021-02-03 Lyngby L 0-1 1601 1480 57.5% 22.5% 20.1% -7.2 16
2021-02-03 @ Odense W 1-0 1480 1601 20.1% 22.5% 57.5% +7.2 7
2021-02-04 Sonderjyske L 1-2 1733 1597 59.8% 20.8% 19.3% -7.0 27
2021-02-04 @ Midtjylland W 2-1 1597 1733 19.3% 20.8% 59.8% +7.0 24
2021-02-04 Brondby L 0-1 1640 1683 32.2% 32.3% 35.5% -4.9 16
2021-02-04 @ Nordsjaelland W 1-0 1683 1640 35.5% 32.3% 32.2% +5.0 30
2021-02-07 Lyngby W 1-0 1693 1488 70.7% 13.3% 16.0% +2.1 28
2021-02-07 @ Aarhus GF L 0-1 1488 1693 16.0% 13.3% 70.7% -2.1 7
2021-02-07 Aalborg D 1-1 1688 1618 49.4% 27.5% 23.1% -0.8 31
2021-02-07 @ Brondby D 1-1 1618 1688 23.1% 27.5% 49.4% +0.8 20
2021-02-07 FC Copenhagen L 0-2 1507 1679 20.7% 23.7% 55.5% -6.0 6
2021-02-07 @ Horsens W 2-0 1679 1507 55.5% 23.7% 20.7% +6.0 26
2021-02-07 Odense L 0-2 1635 1594 44.8% 29.8% 25.4% -11.6 16
2021-02-07 @ Nordsjaelland W 2-0 1594 1635 25.4% 29.8% 44.8% +11.6 19
2021-02-07 Vejle BK L 0-1 1604 1552 46.5% 29.0% 24.5% -6.3 24
2021-02-07 @ Sonderjyske W 1-0 1552 1604 24.5% 29.0% 46.5% +6.3 19
2021-02-08 Midtjylland L 1-2 1648 1726 28.0% 31.3% 40.7% -4.2 25
2021-02-08 @ Randers W 2-1 1726 1648 40.7% 31.3% 28.0% +4.2 30
2021-02-14 Randers D 0-0 1619 1644 34.8% 32.4% 32.9% -0.0 21
2021-02-14 @ Aalborg D 0-0 1644 1619 32.9% 32.4% 34.8% +0.0 26
2021-02-14 Brondby L 0-4 1486 1687 19.2% 20.5% 60.3% -10.0 7
2021-02-14 @ Lyngby W 4-0 1687 1486 60.3% 20.5% 19.2% +10.0 34
2021-02-14 Horsens W 1-0 1730 1501 74.0% 11.1% 14.9% +1.9 33
2021-02-14 @ Midtjylland L 0-1 1501 1730 14.9% 11.1% 74.0% -1.9 6
2021-02-14 Aarhus GF D 0-0 1606 1695 26.8% 30.7% 42.5% +0.5 20
2021-02-14 @ Odense D 0-0 1695 1606 42.5% 30.7% 26.8% -0.5 29
2021-02-14 Nordsjaelland D 2-2 1559 1623 29.5% 31.8% 38.7% +0.2 20
2021-02-14 @ Vejle BK D 2-2 1623 1559 38.7% 31.8% 29.5% -0.2 17
2021-02-15 Sonderjyske W 3-2 1685 1598 52.0% 25.9% 22.0% +3.1 29
2021-02-15 @ FC Copenhagen L 2-3 1598 1685 22.0% 25.9% 52.0% -3.1 24
2021-02-19 Midtjylland L 0-2 1619 1732 24.7% 29.2% 46.2% -7.4 21
2021-02-19 @ Aalborg W 2-0 1732 1619 46.2% 29.2% 24.7% +7.4 36
2021-02-21 Sonderjyske W 2-0 1695 1595 54.1% 24.6% 21.2% +6.2 32
2021-02-21 @ Aarhus GF L 0-2 1595 1695 21.2% 24.6% 54.1% -6.2 24
2021-02-21 Vejle BK W 2-1 1697 1559 60.3% 20.5% 19.2% +2.6 37
2021-02-21 @ Brondby L 1-2 1559 1697 19.2% 20.5% 60.3% -2.6 20
2021-02-21 Odense D 0-0 1499 1606 25.2% 29.6% 45.2% +0.6 7
2021-02-21 @ Horsens D 0-0 1606 1499 45.2% 29.6% 25.2% -0.6 21
2021-02-21 Nordsjaelland D 1-1 1644 1623 41.6% 31.0% 27.4% -0.4 27
2021-02-21 @ Randers D 1-1 1623 1644 27.4% 31.0% 41.6% +0.4 18
2021-02-22 FC Copenhagen D 2-2 1476 1688 18.6% 19.4% 62.0% +0.9 8
2021-02-22 @ Lyngby D 2-2 1688 1476 62.0% 19.4% 18.6% -0.9 30
2021-02-26 Horsens D 0-0 1556 1500 47.2% 28.6% 24.1% -0.7 21
2021-02-26 @ Vejle BK D 0-0 1500 1556 24.1% 28.6% 47.2% +0.7 8
2021-02-28 Aarhus GF D 3-3 1687 1701 36.4% 32.2% 31.4% -0.1 31
2021-02-28 @ FC Copenhagen D 3-3 1701 1687 31.4% 32.2% 36.4% +0.1 33
2021-02-28 Brondby W 1-0 1739 1700 44.5% 29.9% 25.6% +4.1 39
2021-02-28 @ Midtjylland L 0-1 1700 1739 25.6% 29.9% 44.5% -4.1 37
2021-02-28 Aalborg D 2-2 1624 1611 40.4% 31.4% 28.2% -0.2 19
2021-02-28 @ Nordsjaelland D 2-2 1611 1624 28.2% 31.4% 40.4% +0.2 22
2021-02-28 Randers W 2-1 1605 1644 32.9% 32.4% 34.8% +4.9 24
2021-02-28 @ Odense L 1-2 1644 1605 34.8% 32.4% 32.9% -4.9 27
2021-03-01 Lyngby L 1-4 1589 1477 56.1% 23.4% 20.5% -16.4 24
2021-03-01 @ Sonderjyske W 4-1 1477 1589 20.5% 23.4% 56.1% +16.4 11
2021-03-03 Nordsjaelland L 0-1 1701 1623 50.6% 26.8% 22.6% -6.7 33
2021-03-03 @ Aarhus GF W 1-0 1623 1701 22.6% 26.8% 50.6% +6.7 22
2021-03-03 Vejle BK W 2-1 1687 1555 59.2% 21.3% 19.5% +2.7 34
2021-03-03 @ FC Copenhagen L 1-2 1555 1687 19.5% 21.3% 59.2% -2.7 21
2021-03-03 Aalborg W 2-1 1500 1612 24.9% 29.3% 45.8% +5.9 11
2021-03-03 @ Horsens L 1-2 1612 1500 45.8% 29.3% 24.9% -5.9 22
2021-03-04 Randers D 0-0 1696 1639 47.3% 28.6% 24.1% -0.7 38
2021-03-04 @ Brondby D 0-0 1639 1696 24.1% 28.6% 47.3% +0.7 28
2021-03-04 Midtjylland W 2-0 1493 1743 16.9% 15.2% 67.9% +15.0 14
2021-03-04 @ Lyngby L 0-2 1743 1493 67.9% 15.2% 16.9% -15.0 39
2021-03-04 Odense D 1-1 1572 1610 32.9% 32.4% 34.7% +0.0 25
2021-03-04 @ Sonderjyske D 1-1 1610 1572 34.7% 32.4% 32.9% -0.0 25
2021-03-07 FC Copenhagen W 2-1 1695 1690 39.3% 31.7% 29.0% +4.3 41
2021-03-07 @ Brondby L 1-2 1690 1695 29.0% 31.7% 39.3% -4.3 34
2021-03-07 Aarhus GF L 0-1 1728 1694 43.7% 30.2% 26.1% -6.1 39
2021-03-07 @ Midtjylland W 1-0 1694 1728 26.1% 30.2% 43.7% +6.1 36
2021-03-07 Horsens D 2-2 1630 1506 58.0% 22.1% 19.9% -0.8 23
2021-03-07 @ Nordsjaelland D 2-2 1506 1630 19.9% 22.1% 58.0% +0.8 12
2021-03-07 Lyngby L 1-2 1639 1508 59.2% 21.3% 19.5% -6.9 28
2021-03-07 @ Randers W 2-1 1508 1639 19.5% 21.3% 59.2% +6.9 17
2021-03-07 Odense W 2-0 1553 1610 30.4% 32.0% 37.6% +10.4 24
2021-03-07 @ Vejle BK L 0-2 1610 1553 37.6% 32.0% 30.4% -10.3 25
2021-03-08 Sonderjyske W 1-0 1606 1572 43.6% 30.3% 26.1% +4.2 25
2021-03-08 @ Aalborg L 0-1 1572 1606 26.1% 30.3% 43.6% -4.2 25
2021-03-12 Nordsjaelland L 0-3 1515 1629 24.6% 29.1% 46.3% -10.7 17
2021-03-12 @ Lyngby W 3-0 1629 1515 46.3% 29.1% 24.6% +10.7 26
2021-03-14 Midtjylland D 0-0 1685 1722 33.1% 32.4% 34.6% +0.0 35
2021-03-14 @ FC Copenhagen D 0-0 1722 1685 34.6% 32.4% 33.1% -0.0 40
2021-03-14 Brondby L 0-3 1600 1699 25.9% 30.1% 44.0% -11.3 25
2021-03-14 @ Odense W 3-0 1699 1600 44.0% 30.1% 25.9% +11.3 44
2021-03-14 Horsens W 2-0 1568 1507 47.9% 28.3% 23.8% +7.1 28
2021-03-14 @ Sonderjyske L 0-2 1507 1568 23.8% 28.3% 47.9% -7.1 12
2021-03-14 Aalborg L 0-2 1563 1610 31.7% 32.3% 36.0% -9.2 24
2021-03-14 @ Vejle BK W 2-0 1610 1563 36.0% 32.3% 31.7% +9.2 28
2021-03-15 Randers D 1-1 1700 1632 49.0% 27.7% 23.3% -0.7 37
2021-03-15 @ Aarhus GF D 1-1 1632 1700 23.3% 27.7% 49.0% +0.7 29
2021-03-21 Odense L 0-2 1619 1589 43.1% 30.5% 26.4% -11.3 28
2021-03-21 @ Aalborg W 2-0 1589 1619 26.4% 30.5% 43.1% +11.3 28
2021-03-21 Aarhus GF D 1-1 1711 1700 40.2% 31.5% 28.4% -0.3 45
2021-03-21 @ Brondby D 1-1 1700 1711 28.4% 31.5% 40.2% +0.3 38
2021-03-21 Lyngby L 1-2 1500 1504 37.9% 32.0% 30.1% -5.2 12
2021-03-21 @ Horsens W 2-1 1504 1500 30.1% 32.0% 37.9% +5.2 20
2021-03-21 Vejle BK W 5-0 1722 1554 65.0% 17.2% 17.7% +10.8 43
2021-03-21 @ Midtjylland L 0-5 1554 1722 17.7% 17.2% 65.0% -10.8 24
2021-03-21 Sonderjyske W 2-1 1640 1575 48.5% 28.0% 23.5% +3.5 29
2021-03-21 @ Nordsjaelland L 1-2 1575 1640 23.5% 28.0% 48.5% -3.5 28
2021-03-21 FC Copenhagen W 2-1 1633 1685 31.0% 32.2% 36.8% +5.1 32
2021-03-21 @ Randers L 1-2 1685 1633 36.8% 32.2% 31.0% -5.1 35

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
2021-04-04 Odense D 1-1 1495 1600 25.4% 29.7% 44.9% +0.6 1
2021-04-04 @ Horsens D 1-1 1600 1495 44.9% 29.7% 25.4% -0.6 1
2021-04-04 Aarhus GF W 2-0 1644 1700 30.5% 32.1% 37.5% +10.3 3
2021-04-04 @ Nordsjaelland L 0-2 1700 1644 37.5% 32.1% 30.5% -10.3 0
2021-04-05 Sonderjyske W 3-2 1608 1572 44.0% 30.1% 25.9% +3.7 3
2021-04-05 @ Aalborg L 2-3 1572 1608 25.9% 30.1% 44.0% -3.7 0
2021-04-05 Randers W 2-1 1680 1638 44.9% 29.7% 25.4% +3.8 3
2021-04-05 @ FC Copenhagen L 1-2 1638 1680 25.4% 29.7% 44.9% -3.8 0
2021-04-05 Brondby W 1-0 1733 1710 41.9% 30.9% 27.2% +4.3 3
2021-04-05 @ Midtjylland L 0-1 1710 1733 27.2% 30.9% 41.9% -4.3 0
2021-04-06 Vejle BK D 0-0 1509 1543 33.5% 32.4% 34.1% +0.0 1
2021-04-06 @ Lyngby D 0-0 1543 1509 34.1% 32.4% 33.5% -0.0 1
2021-04-09 Vejle BK L 0-1 1599 1543 47.2% 28.7% 24.1% -6.4 1
2021-04-09 @ Odense W 1-0 1543 1599 24.1% 28.7% 47.2% +6.4 4
2021-04-11 Midtjylland L 1-4 1690 1737 31.6% 32.2% 36.1% -11.3 0
2021-04-11 @ Aarhus GF W 4-1 1737 1690 36.1% 32.2% 31.6% +11.3 6
2021-04-11 FC Copenhagen L 1-3 1706 1684 41.9% 30.9% 27.2% -9.6 0
2021-04-11 @ Brondby W 3-1 1684 1706 27.2% 30.9% 41.9% +9.6 6
2021-04-11 Nordsjaelland L 3-4 1634 1654 35.6% 32.3% 32.1% -4.6 0
2021-04-11 @ Randers W 4-3 1654 1634 32.1% 32.3% 35.6% +4.6 6
2021-04-11 Horsens L 2-3 1568 1495 49.8% 27.3% 22.9% -5.9 0
2021-04-11 @ Sonderjyske W 3-2 1495 1568 22.9% 27.3% 49.8% +5.9 4
2021-04-12 Aalborg D 2-2 1509 1611 25.6% 29.9% 44.4% +0.4 2
2021-04-12 @ Lyngby D 2-2 1611 1509 44.4% 29.9% 25.6% -0.4 4
2021-04-16 Aalborg D 1-1 1549 1611 29.9% 31.9% 38.2% +0.2 5
2021-04-16 @ Vejle BK D 1-1 1611 1549 38.2% 31.9% 29.9% -0.2 5
2021-04-18 Aarhus GF D 2-2 1697 1678 41.2% 31.1% 27.6% -0.3 1
2021-04-18 @ Brondby D 2-2 1678 1697 27.6% 31.1% 41.2% +0.3 1
2021-04-18 Nordsjaelland D 2-2 1694 1658 43.9% 30.2% 25.9% -0.4 7
2021-04-18 @ FC Copenhagen D 2-2 1658 1694 25.9% 30.2% 43.9% +0.4 7
2021-04-18 Lyngby L 1-3 1501 1510 37.2% 32.1% 30.7% -8.9 4
2021-04-18 @ Horsens W 3-1 1510 1501 30.7% 32.1% 37.2% +8.9 5
2021-04-18 Sonderjyske D 1-1 1593 1562 43.2% 30.4% 26.4% -0.5 2
2021-04-18 @ Odense D 1-1 1562 1593 26.4% 30.4% 43.2% +0.5 1
2021-04-19 Midtjylland D 0-0 1630 1749 24.2% 28.7% 47.0% +0.7 1
2021-04-19 @ Randers D 0-0 1749 1630 47.0% 28.7% 24.2% -0.7 7
2021-04-21 Odense W 3-2 1611 1593 41.2% 31.1% 27.6% +3.9 8
2021-04-21 @ Aalborg L 2-3 1593 1611 27.6% 31.1% 41.2% -3.9 2
2021-04-21 Sonderjyske L 0-1 1519 1563 32.1% 32.3% 35.6% -4.9 5
2021-04-21 @ Lyngby W 1-0 1563 1519 35.6% 32.3% 32.1% +4.9 4
2021-04-21 Brondby L 0-3 1659 1696 33.0% 32.4% 34.6% -13.8 7
2021-04-21 @ Nordsjaelland W 3-0 1696 1659 34.6% 32.4% 33.0% +13.8 4
2021-04-22 Randers W 2-0 1679 1631 45.9% 29.3% 24.8% +7.5 4
2021-04-22 @ Aarhus GF L 0-2 1631 1679 24.8% 29.3% 45.9% -7.5 1
2021-04-22 FC Copenhagen W 4-1 1748 1693 46.9% 28.8% 24.3% +8.9 10
2021-04-22 @ Midtjylland L 1-4 1693 1748 24.3% 28.8% 46.9% -8.9 7
2021-04-22 Horsens W 3-0 1550 1492 47.3% 28.6% 24.1% +10.5 8
2021-04-22 @ Vejle BK L 0-3 1492 1550 24.1% 28.6% 47.3% -10.5 4
2021-04-25 FC Copenhagen L 1-2 1686 1684 38.8% 31.8% 29.4% -5.3 4
2021-04-25 @ Aarhus GF W 2-1 1684 1686 29.4% 31.8% 38.8% +5.3 10
2021-04-25 Randers W 2-0 1710 1623 52.1% 25.9% 22.0% +6.5 7
2021-04-25 @ Brondby L 0-2 1623 1710 22.0% 25.9% 52.1% -6.5 1
2021-04-25 Aalborg W 1-0 1482 1615 23.2% 27.6% 49.3% +6.6 7
2021-04-25 @ Horsens L 0-1 1615 1482 49.3% 27.6% 23.2% -6.6 8
2021-04-25 Lyngby W 2-0 1589 1514 50.1% 27.1% 22.8% +6.8 5
2021-04-25 @ Odense L 0-2 1514 1589 22.8% 27.1% 50.1% -6.8 5
2021-04-25 Vejle BK W 1-0 1568 1560 39.6% 31.6% 28.8% +4.5 7
2021-04-25 @ Sonderjyske L 0-1 1560 1568 28.8% 31.6% 39.6% -4.5 8
2021-04-26 Midtjylland W 3-2 1645 1757 24.8% 29.3% 46.0% +5.6 10
2021-04-26 @ Nordsjaelland L 2-3 1757 1645 46.0% 29.3% 24.8% -5.6 10
2021-04-30 Lyngby W 4-0 1608 1507 54.3% 24.5% 21.1% +11.6 11
2021-04-30 @ Aalborg L 0-4 1507 1608 21.1% 24.5% 54.3% -11.6 5
2021-04-30 Vejle BK D 3-3 1488 1556 29.2% 31.7% 39.1% +0.2 8
2021-04-30 @ Horsens D 3-3 1556 1488 39.1% 31.7% 29.2% -0.2 9
2021-05-02 Nordsjaelland W 3-0 1751 1651 54.3% 24.6% 21.2% +8.9 13
2021-05-02 @ Midtjylland L 0-3 1651 1751 21.2% 24.6% 54.3% -8.9 10
2021-05-02 Brondby W 4-2 1617 1716 25.8% 30.1% 44.1% +8.9 4
2021-05-02 @ Randers L 2-4 1716 1617 44.1% 30.1% 25.8% -8.9 7
2021-05-02 Odense W 2-0 1572 1595 35.0% 32.3% 32.6% +9.4 10
2021-05-02 @ Sonderjyske L 0-2 1595 1572 32.6% 32.3% 35.0% -9.4 5
2021-05-03 Aarhus GF W 3-2 1690 1681 39.8% 31.6% 28.6% +4.0 13
2021-05-03 @ FC Copenhagen L 2-3 1681 1690 28.6% 31.6% 39.8% -4.0 4
2021-05-07 Aalborg W 1-0 1586 1620 33.5% 32.4% 34.1% +5.1 8
2021-05-07 @ Odense L 0-1 1620 1586 34.1% 32.4% 33.5% -5.1 11
2021-05-09 Midtjylland W 3-1 1708 1760 31.0% 32.2% 36.9% +8.9 10
2021-05-09 @ Brondby L 1-3 1760 1708 36.9% 32.2% 31.0% -8.9 13
2021-05-09 Horsens L 3-4 1495 1489 39.5% 31.6% 28.9% -5.0 5
2021-05-09 @ Lyngby W 4-3 1489 1495 28.9% 31.6% 39.5% +5.0 11
2021-05-09 Aarhus GF L 0-1 1626 1677 31.1% 32.2% 36.7% -4.8 4
2021-05-09 @ Randers W 1-0 1677 1626 36.7% 32.2% 31.1% +4.8 7
2021-05-09 Sonderjyske W 4-2 1555 1582 34.6% 32.4% 33.0% +7.3 12
2021-05-09 @ Vejle BK L 2-4 1582 1555 33.0% 32.4% 34.6% -7.3 10
2021-05-10 FC Copenhagen D 2-2 1642 1694 31.1% 32.2% 36.8% +0.1 11
2021-05-10 @ Nordsjaelland D 2-2 1694 1642 36.8% 32.2% 31.1% -0.1 14
2021-05-14 Odense D 2-2 1563 1591 34.3% 32.4% 33.3% -0.0 13
2021-05-14 @ Vejle BK D 2-2 1591 1563 33.3% 32.4% 34.3% +0.0 9
2021-05-16 Horsens D 1-1 1615 1494 57.5% 22.4% 20.1% -1.1 12
2021-05-16 @ Aalborg D 1-1 1494 1615 20.1% 22.4% 57.5% +1.1 12
2021-05-16 Nordsjaelland W 3-1 1682 1642 44.6% 29.9% 25.5% +6.7 10
2021-05-16 @ Aarhus GF L 1-3 1642 1682 25.5% 29.9% 44.6% -6.7 11
2021-05-16 Brondby W 2-1 1694 1716 35.1% 32.3% 32.6% +4.7 17
2021-05-16 @ FC Copenhagen L 1-2 1716 1694 32.6% 32.3% 35.1% -4.7 10
2021-05-16 Randers D 1-1 1751 1621 59.1% 21.4% 19.6% -1.1 14
2021-05-16 @ Midtjylland D 1-1 1621 1751 19.6% 21.4% 59.1% +1.1 5
2021-05-17 Lyngby W 2-0 1574 1490 51.6% 26.2% 22.2% +6.5 13
2021-05-17 @ Sonderjyske L 0-2 1490 1574 22.2% 26.2% 51.6% -6.5 5
2021-05-19 Vejle BK W 2-1 1614 1563 46.3% 29.1% 24.6% +3.7 15
2021-05-19 @ Aalborg L 1-2 1563 1614 24.6% 29.1% 46.3% -3.7 13
2021-05-19 Midtjylland W 4-2 1698 1750 31.1% 32.2% 36.8% +7.9 20
2021-05-19 @ FC Copenhagen L 2-4 1750 1698 36.8% 32.2% 31.1% -7.9 14
2021-05-19 Randers W 2-1 1635 1622 40.5% 31.4% 28.1% +4.2 14
2021-05-19 @ Nordsjaelland L 1-2 1622 1635 28.1% 31.4% 40.5% -4.2 5
2021-05-20 Brondby L 1-2 1688 1712 35.0% 32.4% 32.6% -4.9 10
2021-05-20 @ Aarhus GF W 2-1 1712 1688 32.6% 32.4% 35.0% +4.9 13
2021-05-20 Sonderjyske L 1-2 1495 1581 27.2% 30.9% 41.9% -4.1 12
2021-05-20 @ Horsens W 2-1 1581 1495 41.9% 30.9% 27.2% +4.1 16
2021-05-20 Odense L 1-2 1484 1591 25.2% 29.6% 45.2% -3.8 5
2021-05-20 @ Lyngby W 2-1 1591 1484 45.2% 29.6% 25.2% +3.8 12
2021-05-24 Nordsjaelland W 2-0 1717 1639 50.5% 26.9% 22.6% +6.7 16
2021-05-24 @ Brondby L 0-2 1639 1717 22.6% 26.9% 50.5% -6.7 14
2021-05-24 Aarhus GF W 4-0 1742 1683 47.6% 28.4% 23.9% +13.6 17
2021-05-24 @ Midtjylland L 0-4 1683 1742 23.9% 28.4% 47.6% -13.6 10
2021-05-24 Horsens W 4-0 1595 1491 54.9% 24.2% 21.0% +11.5 15
2021-05-24 @ Odense L 0-4 1491 1595 21.0% 24.2% 54.9% -11.5 12
2021-05-24 FC Copenhagen W 2-1 1618 1706 26.9% 30.8% 42.3% +5.6 8
2021-05-24 @ Randers L 1-2 1706 1618 42.3% 30.8% 26.9% -5.6 20
2021-05-24 Aalborg L 0-4 1585 1617 33.7% 32.4% 33.9% -18.3 16
2021-05-24 @ Sonderjyske W 4-0 1617 1585 33.9% 32.4% 33.7% +18.3 18
2021-05-24 Lyngby D 2-2 1559 1480 50.8% 26.7% 22.5% -0.6 14
2021-05-24 @ Vejle BK D 2-2 1480 1559 22.5% 26.7% 50.8% +0.6 6

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
2021-05-28 Aalborg W 3-1 1670 1635 43.7% 30.2% 26.0% +6.8 1-0
2021-05-28 @ Aarhus GF L 1-3 1635 1670 26.0% 30.2% 43.7% -6.8 0-1

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 2021-03-04 16.87% @ Lyngby 1493 2 Midtjylland 1743 0
2 2021-02-04 19.31% Sonderjyske 1597 2 @ Midtjylland 1733 1
3 2021-03-07 19.52% Lyngby 1508 2 @ Randers 1639 1
4 2021-02-03 20.07% Lyngby 1480 1 @ Odense 1601 0
5 2021-03-01 20.51% Lyngby 1477 4 @ Sonderjyske 1589 1
6 2020-09-11 22.28% @ Sonderjyske 1568 2 Midtjylland 1714 0
7 2021-03-03 22.61% Nordsjaelland 1623 1 @ Aarhus GF 1701 0
8 2021-04-11 22.94% Horsens 1495 3 @ Sonderjyske 1568 2
9 2021-04-25 23.17% @ Horsens 1482 1 Aalborg 1615 0
10 2021-04-09 24.15% Vejle BK 1543 1 @ Odense 1599 0
11 2020-11-23 24.31% Randers 1608 2 @ FC Copenhagen 1663 1
12 2021-02-07 24.50% Vejle BK 1552 1 @ Sonderjyske 1604 0
13 2020-10-26 24.67% Vejle BK 1585 3 @ Aalborg 1635 1
14 2021-04-26 24.79% @ Nordsjaelland 1645 3 Midtjylland 1757 2
15 2021-03-03 24.85% @ Horsens 1500 2 Aalborg 1612 1
16 2020-10-18 25.04% Aalborg 1629 2 @ FC Copenhagen 1675 1
17 2020-10-18 25.13% @ Sonderjyske 1578 2 Brondby 1686 0
18 2021-02-07 25.41% Odense 1594 2 @ Nordsjaelland 1635 0
19 2021-05-02 25.83% @ Randers 1617 4 Brondby 1716 2
20 2021-03-07 26.06% Aarhus GF 1694 1 @ Midtjylland 1728 0
21 2021-03-21 26.40% Odense 1589 2 @ Aalborg 1619 0
22 2021-05-24 26.91% @ Randers 1618 2 FC Copenhagen 1706 1
23 2020-10-04 27.00% Vejle BK 1576 1 @ Odense 1600 0
24 2021-04-11 27.22% FC Copenhagen 1684 3 @ Brondby 1706 1
25 2020-10-25 27.42% FC Copenhagen 1669 1 @ Aarhus GF 1689 0

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 2021-05-24 18.26 Aalborg 4 1617 33.90% @ Sonderjyske 0 1585 33.72%
2 2021-03-01 16.44 Lyngby 4 1477 20.51% @ Sonderjyske 1 1589 56.13%
3 2020-11-08 15.39 @ Midtjylland 4 1702 42.14% FC Copenhagen 0 1678 27.02%
4 2020-10-30 15.16 Randers 3 1598 30.00% @ Vejle BK 0 1595 38.03%
5 2021-03-04 15.02 @ Lyngby 2 1493 16.87% Midtjylland 0 1743 67.90%
6 2021-04-21 13.77 Brondby 3 1696 34.64% @ Nordsjaelland 0 1659 33.00%
7 2021-05-24 13.63 @ Midtjylland 4 1742 47.60% Aarhus GF 0 1683 23.95%
8 2020-09-13 13.58 Randers 3 1602 35.35% @ Horsens 0 1560 32.33%
9 2020-10-31 13.47 @ Nordsjaelland 4 1635 27.70% Midtjylland 1 1716 41.12%
10 2020-09-11 12.70 @ Sonderjyske 2 1568 22.28% Midtjylland 0 1714 51.36%
11 2020-11-08 12.63 Sonderjyske 3 1596 38.85% @ Horsens 0 1530 29.35%
12 2020-10-23 12.39 Odense 3 1589 39.79% @ Lyngby 0 1517 28.65%
13 2020-10-18 11.72 @ Sonderjyske 2 1578 25.13% Brondby 0 1686 45.32%
14 2021-02-07 11.64 Odense 2 1594 25.41% @ Nordsjaelland 0 1635 44.81%
15 2021-04-30 11.63 @ Aalborg 4 1608 54.34% Lyngby 0 1507 21.14%
16 2021-05-24 11.48 @ Odense 4 1595 54.86% Horsens 0 1491 20.96%
17 2021-03-21 11.34 Odense 2 1589 26.40% @ Aalborg 0 1619 43.13%
18 2021-03-14 11.30 Brondby 3 1699 44.04% @ Odense 0 1600 25.85%
19 2020-09-20 11.29 @ Vejle BK 4 1564 36.03% Sonderjyske 1 1581 31.70%
20 2021-04-11 11.26 Midtjylland 4 1737 36.15% @ Aarhus GF 1 1690 31.60%
21 2021-03-21 10.84 @ Midtjylland 5 1722 65.04% Vejle BK 0 1554 17.74%
22 2020-12-20 10.77 @ Aarhus GF 3 1683 46.23% Aalborg 0 1633 24.64%
23 2021-03-12 10.73 Nordsjaelland 3 1629 46.34% @ Lyngby 0 1515 24.58%
24 2021-04-22 10.50 @ Vejle BK 3 1550 47.34% Horsens 0 1492 24.08%
25 2021-03-07 10.36 @ Vejle BK 2 1553 30.36% Odense 0 1610 37.59%