2020-21 Superliga Season
192 games · 2 promotion-playoff teams · 100,000 simulations
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
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.
| 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 → | 0 | 1 | 2 | 3 | 4 | 5+ | Total |
|---|---|---|---|---|---|---|---|
| 0 | 6.25% | 6.51% | 5.47% | 3.39% | 1.56% | 0.26% | 23.44% |
| 1 | 6.51% | 10.94% | 9.38% | 3.65% | 1.82% | — | 32.29% |
| 2 | 5.47% | 9.38% | 6.77% | 3.39% | 1.56% | — | 26.56% |
| 3 | 3.39% | 3.65% | 3.39% | 1.04% | 0.52% | — | 11.98% |
| 4 | 1.56% | 1.82% | 1.56% | 0.52% | — | — | 5.47% |
| 5+ | 0.26% | — | — | — | — | — | 0.26% |
| Total | 23.44% | 32.29% | 26.56% | 11.98% | 5.47% | 0.26% | 100% |
Summary Statistics
| Mean scored | 1.45 |
| Mean allowed | 1.45 |
| StdDev scored | 1.15 |
| StdDev allowed | 1.15 |
| Mean total goals/game | 2.89 |
| Correlation (home vs away score) | -0.057 |
| Sample size (games) | 192 |
| ↓ Scored | Allowed → | 0 | 1 | 2 | 3 | 4 | 5+ | Total |
|---|---|---|---|---|---|---|---|
| 0 | 9.38% | 6.25% | 6.25% | 3.12% | — | — | 25.00% |
| 1 | 6.25% | 15.62% | 6.25% | 6.25% | — | — | 34.38% |
| 2 | 3.12% | 12.50% | 6.25% | 3.12% | — | — | 25.00% |
| 3 | — | — | 9.38% | — | — | — | 9.38% |
| 4 | 6.25% | — | — | — | — | — | 6.25% |
| 5+ | — | — | — | — | — | — | — |
| Total | 25.00% | 34.38% | 28.12% | 12.50% | — | — | 100% |
Aalborg — Summary Statistics
| Mean scored | 1.38 |
| Mean allowed | 1.28 |
| StdDev scored | 1.16 |
| StdDev allowed | 0.99 |
| Mean total goals/game | 2.66 |
| Correlation (scored vs allowed) | -0.039 |
| Games played | 32 |
| ↓ Scored | Allowed → | 0 | 1 | 2 | 3 | 4 | 5+ | Total |
|---|---|---|---|---|---|---|---|
| 0 | 6.25% | 6.25% | 3.12% | — | 3.12% | — | 18.75% |
| 1 | 9.38% | 15.62% | 9.38% | 3.12% | 3.12% | — | 40.62% |
| 2 | 6.25% | 6.25% | 3.12% | 3.12% | — | — | 18.75% |
| 3 | 6.25% | 6.25% | — | 3.12% | — | — | 15.62% |
| 4 | — | — | 6.25% | — | — | — | 6.25% |
| 5+ | — | — | — | — | — | — | — |
| Total | 28.12% | 34.38% | 21.88% | 9.38% | 6.25% | — | 100% |
Aarhus GF — Summary Statistics
| Mean scored | 1.50 |
| Mean allowed | 1.31 |
| StdDev scored | 1.16 |
| StdDev allowed | 1.18 |
| Mean total goals/game | 2.81 |
| Correlation (scored vs allowed) | 0.000 |
| Games played | 32 |
| ↓ Scored | Allowed → | 0 | 1 | 2 | 3 | 4 | 5+ | Total |
|---|---|---|---|---|---|---|---|
| 0 | 3.12% | 6.25% | 3.12% | — | — | — | 12.50% |
| 1 | 3.12% | 6.25% | 6.25% | 6.25% | — | — | 21.88% |
| 2 | 9.38% | 25.00% | 3.12% | 3.12% | 3.12% | — | 43.75% |
| 3 | 6.25% | 6.25% | 3.12% | — | — | — | 15.62% |
| 4 | 3.12% | 3.12% | — | — | — | — | 6.25% |
| 5+ | — | — | — | — | — | — | — |
| Total | 25.00% | 46.88% | 15.62% | 9.38% | 3.12% | — | 100% |
Brondby — Summary Statistics
| Mean scored | 1.81 |
| Mean allowed | 1.19 |
| StdDev scored | 1.06 |
| StdDev allowed | 1.03 |
| Mean total goals/game | 3.00 |
| Correlation (scored vs allowed) | -0.203 |
| Games played | 32 |
| ↓ Scored | Allowed → | 0 | 1 | 2 | 3 | 4 | 5+ | Total |
|---|---|---|---|---|---|---|---|
| 0 | 3.12% | — | — | — | 3.12% | — | 6.25% |
| 1 | 6.25% | 3.12% | 18.75% | — | 3.12% | — | 31.25% |
| 2 | 6.25% | 12.50% | 12.50% | 3.12% | — | — | 34.38% |
| 3 | — | 6.25% | 12.50% | 3.12% | — | — | 21.88% |
| 4 | — | — | 6.25% | — | — | — | 6.25% |
| 5+ | — | — | — | — | — | — | — |
| Total | 15.62% | 21.88% | 50.00% | 6.25% | 6.25% | — | 100% |
FC Copenhagen — Summary Statistics
| Mean scored | 1.91 |
| Mean allowed | 1.66 |
| StdDev scored | 1.03 |
| StdDev allowed | 1.04 |
| Mean total goals/game | 3.56 |
| Correlation (scored vs allowed) | 0.029 |
| Games played | 32 |
| ↓ Scored | Allowed → | 0 | 1 | 2 | 3 | 4 | 5+ | Total |
|---|---|---|---|---|---|---|---|
| 0 | 6.25% | 9.38% | 9.38% | 15.62% | 3.12% | — | 43.75% |
| 1 | 3.12% | 12.50% | 15.62% | 3.12% | — | — | 34.38% |
| 2 | — | 3.12% | 6.25% | — | — | — | 9.38% |
| 3 | — | 3.12% | 3.12% | 3.12% | — | — | 9.38% |
| 4 | — | — | — | 3.12% | — | — | 3.12% |
| 5+ | — | — | — | — | — | — | — |
| Total | 9.38% | 28.12% | 34.38% | 25.00% | 3.12% | — | 100% |
Horsens — Summary Statistics
| Mean scored | 0.94 |
| Mean allowed | 1.84 |
| StdDev scored | 1.11 |
| StdDev allowed | 1.02 |
| Mean total goals/game | 2.78 |
| Correlation (scored vs allowed) | 0.048 |
| Games played | 32 |
| ↓ Scored | Allowed → | 0 | 1 | 2 | 3 | 4 | 5+ | Total |
|---|---|---|---|---|---|---|---|
| 0 | 9.38% | 9.38% | 6.25% | 9.38% | 6.25% | — | 40.62% |
| 1 | 3.12% | 3.12% | 6.25% | — | 6.25% | — | 18.75% |
| 2 | 3.12% | 6.25% | 12.50% | 6.25% | 3.12% | — | 31.25% |
| 3 | — | 3.12% | — | — | 3.12% | — | 6.25% |
| 4 | — | 3.12% | — | — | — | — | 3.12% |
| 5+ | — | — | — | — | — | — | — |
| Total | 15.62% | 25.00% | 25.00% | 15.62% | 18.75% | — | 100% |
Lyngby — Summary Statistics
| Mean scored | 1.12 |
| Mean allowed | 1.97 |
| StdDev scored | 1.13 |
| StdDev allowed | 1.36 |
| Mean total goals/game | 3.09 |
| Correlation (scored vs allowed) | 0.024 |
| Games played | 32 |
| ↓ Scored | Allowed → | 0 | 1 | 2 | 3 | 4 | 5+ | Total |
|---|---|---|---|---|---|---|---|
| 0 | 9.38% | 3.12% | 6.25% | — | — | — | 18.75% |
| 1 | 15.62% | 6.25% | 3.12% | 3.12% | 3.12% | — | 31.25% |
| 2 | 6.25% | 6.25% | 3.12% | 3.12% | 3.12% | — | 21.88% |
| 3 | 3.12% | 6.25% | 3.12% | — | — | — | 12.50% |
| 4 | 6.25% | 6.25% | — | — | — | — | 12.50% |
| 5+ | 3.12% | — | — | — | — | — | 3.12% |
| Total | 43.75% | 28.12% | 15.62% | 6.25% | 6.25% | — | 100% |
Midtjylland — Summary Statistics
| Mean scored | 1.78 |
| Mean allowed | 1.03 |
| StdDev scored | 1.41 |
| StdDev allowed | 1.20 |
| Mean total goals/game | 2.81 |
| Correlation (scored vs allowed) | -0.110 |
| Games played | 32 |
| ↓ Scored | Allowed → | 0 | 1 | 2 | 3 | 4 | 5+ | Total |
|---|---|---|---|---|---|---|---|
| 0 | — | 6.25% | 6.25% | 6.25% | — | — | 18.75% |
| 1 | 6.25% | 15.62% | 3.12% | 6.25% | — | — | 31.25% |
| 2 | 3.12% | 6.25% | 15.62% | 6.25% | — | — | 31.25% |
| 3 | 3.12% | 3.12% | 3.12% | — | — | — | 9.38% |
| 4 | — | 6.25% | — | 3.12% | — | — | 9.38% |
| 5+ | — | — | — | — | — | — | — |
| Total | 12.50% | 37.50% | 28.12% | 21.88% | — | — | 100% |
Nordsjaelland — Summary Statistics
| Mean scored | 1.59 |
| Mean allowed | 1.59 |
| StdDev scored | 1.19 |
| StdDev allowed | 0.98 |
| Mean total goals/game | 3.19 |
| Correlation (scored vs allowed) | -0.091 |
| Games played | 32 |
| ↓ Scored | Allowed → | 0 | 1 | 2 | 3 | 4 | 5+ | Total |
|---|---|---|---|---|---|---|---|
| 0 | 6.25% | 9.38% | 6.25% | 3.12% | — | — | 25.00% |
| 1 | 6.25% | 21.88% | 3.12% | 6.25% | — | — | 37.50% |
| 2 | 9.38% | 9.38% | 3.12% | 3.12% | 3.12% | — | 28.12% |
| 3 | 3.12% | — | 3.12% | — | — | — | 6.25% |
| 4 | 3.12% | — | — | — | — | — | 3.12% |
| 5+ | — | — | — | — | — | — | — |
| Total | 28.12% | 40.62% | 15.62% | 12.50% | 3.12% | — | 100% |
Odense — Summary Statistics
| Mean scored | 1.25 |
| Mean allowed | 1.22 |
| StdDev scored | 1.02 |
| StdDev allowed | 1.10 |
| Mean total goals/game | 2.47 |
| Correlation (scored vs allowed) | -0.108 |
| Games played | 32 |
| ↓ Scored | Allowed → | 0 | 1 | 2 | 3 | 4 | 5+ | Total |
|---|---|---|---|---|---|---|---|
| 0 | 9.38% | 9.38% | 6.25% | — | — | — | 25.00% |
| 1 | 3.12% | 12.50% | 25.00% | — | — | — | 40.62% |
| 2 | — | 12.50% | — | — | — | — | 12.50% |
| 3 | 12.50% | 3.12% | — | — | 3.12% | — | 18.75% |
| 4 | — | — | 3.12% | — | — | — | 3.12% |
| 5+ | — | — | — | — | — | — | — |
| Total | 25.00% | 37.50% | 34.38% | — | 3.12% | — | 100% |
Randers — Summary Statistics
| Mean scored | 1.34 |
| Mean allowed | 1.19 |
| StdDev scored | 1.15 |
| StdDev allowed | 0.93 |
| Mean total goals/game | 2.53 |
| Correlation (scored vs allowed) | -0.002 |
| Games played | 32 |
| ↓ Scored | Allowed → | 0 | 1 | 2 | 3 | 4 | 5+ | Total |
|---|---|---|---|---|---|---|---|
| 0 | — | 9.38% | 3.12% | — | 3.12% | — | 15.62% |
| 1 | 6.25% | 12.50% | 6.25% | 3.12% | 6.25% | — | 34.38% |
| 2 | 15.62% | 12.50% | 3.12% | 9.38% | 3.12% | — | 43.75% |
| 3 | 3.12% | 3.12% | — | — | — | — | 6.25% |
| 4 | — | — | — | — | — | — | — |
| 5+ | — | — | — | — | — | — | — |
| Total | 25.00% | 37.50% | 12.50% | 12.50% | 12.50% | — | 100% |
Sonderjyske — Summary Statistics
| Mean scored | 1.41 |
| Mean allowed | 1.50 |
| StdDev scored | 0.84 |
| StdDev allowed | 1.34 |
| Mean total goals/game | 2.91 |
| Correlation (scored vs allowed) | -0.215 |
| Games played | 32 |
| ↓ Scored | Allowed → | 0 | 1 | 2 | 3 | 4 | 5+ | Total |
|---|---|---|---|---|---|---|---|
| 0 | 12.50% | 3.12% | 9.38% | 3.12% | — | 3.12% | 31.25% |
| 1 | 9.38% | 6.25% | 9.38% | 6.25% | — | — | 31.25% |
| 2 | 3.12% | — | 12.50% | — | 3.12% | — | 18.75% |
| 3 | 3.12% | 3.12% | 3.12% | 3.12% | — | — | 12.50% |
| 4 | — | 3.12% | 3.12% | — | — | — | 6.25% |
| 5+ | — | — | — | — | — | — | — |
| Total | 28.12% | 15.62% | 37.50% | 12.50% | 3.12% | 3.12% | 100% |
Vejle BK — Summary Statistics
| Mean scored | 1.31 |
| Mean allowed | 1.56 |
| StdDev scored | 1.23 |
| StdDev allowed | 1.29 |
| Mean total goals/game | 2.88 |
| Correlation (scored vs allowed) | 0.048 |
| Games played | 32 |
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).
| Team | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Brondby | 17.47% | 18.05% | 16.02% | 13.39% | 11.02% | 8.26% | 6.10% | 4.00% | 2.86% | 1.65% | 0.90% | 0.28% |
| Midtjylland | 37.40% | 21.77% | 14.53% | 9.41% | 6.05% | 4.55% | 2.67% | 1.65% | 1.11% | 0.45% | 0.34% | 0.07% |
| FC Copenhagen | 13.43% | 15.81% | 15.27% | 14.31% | 11.94% | 9.74% | 7.49% | 5.22% | 3.52% | 1.96% | 0.96% | 0.35% |
| Aarhus GF | 17.82% | 17.73% | 16.94% | 13.95% | 10.35% | 7.92% | 6.03% | 4.02% | 2.85% | 1.56% | 0.57% | 0.26% |
| Nordsjaelland | 4.50% | 7.94% | 9.38% | 11.68% | 12.31% | 12.23% | 11.98% | 10.09% | 8.33% | 6.29% | 3.58% | 1.69% |
| Randers | 3.29% | 5.79% | 7.95% | 10.12% | 11.75% | 12.58% | 12.20% | 11.96% | 9.67% | 7.77% | 4.73% | 2.19% |
| Aalborg | 3.09% | 5.93% | 8.49% | 9.88% | 11.71% | 12.50% | 12.35% | 11.93% | 9.54% | 7.88% | 4.61% | 2.09% |
| Sonderjyske | 0.96% | 2.20% | 3.51% | 5.39% | 7.36% | 9.32% | 11.90% | 13.00% | 15.29% | 13.81% | 11.16% | 6.10% |
| Odense | 1.44% | 3.07% | 4.80% | 6.63% | 9.33% | 10.88% | 12.62% | 13.71% | 13.53% | 11.75% | 7.81% | 4.43% |
| Vejle BK | 0.44% | 1.22% | 2.20% | 3.56% | 5.21% | 6.94% | 8.88% | 11.78% | 15.27% | 17.02% | 16.46% | 11.02% |
| Lyngby | 0.03% | 0.13% | 0.33% | 0.61% | 1.11% | 2.16% | 3.21% | 5.46% | 8.10% | 13.84% | 24.41% | 40.61% |
| Horsens | 0.13% | 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
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
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% | |