2021-22 Superliga Season
192 games · 2 promotion-playoff teams
Champion
FC Copenhagen
14th Title
Last Title: 2018-19
Relegated
Sonderjyske
23 pts
Vejle BK · 29 pts
Biggest Overachiever
Midtjylland
9.04 points above expected
65 points · 55.96 expected points
Biggest Disappointment
Aarhus GF
13.27 points below expected
30 points · 43.27 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 | FC Copenhagen | 22 | 14 | 6 | 2 | 48 | 43 | 13 | +30 | 39.31 | +8.69 |
| 2 | Midtjylland | 22 | 13 | 3 | 6 | 42 | 37 | 22 | +15 | 37.88 | +4.12 |
| 3 | Brondby | 22 | 11 | 7 | 4 | 40 | 30 | 24 | +6 | 33.88 | +6.12 |
| 4 | Aalborg | 22 | 11 | 5 | 6 | 38 | 36 | 26 | +10 | 32.22 | +5.78 |
| 5 | Randers | 22 | 9 | 6 | 7 | 33 | 26 | 25 | +1 | 30.49 | +2.51 |
| 6 | Silkeborg | 22 | 7 | 10 | 5 | 31 | 34 | 21 | +13 | 31.51 | -0.51 |
| 7 | Viborg | 22 | 6 | 9 | 7 | 27 | 31 | 33 | -2 | 26.97 | +0.03 |
| 8 | Aarhus GF | 22 | 6 | 8 | 8 | 26 | 24 | 29 | -5 | 29.10 | -3.10 |
| 9 | Odense | 22 | 4 | 9 | 9 | 21 | 31 | 35 | -4 | 28.72 | -7.72 |
| 10 | Nordsjaelland | 22 | 5 | 6 | 11 | 21 | 24 | 37 | -13 | 26.15 | -5.15 |
| 11 | Vejle BK | 22 | 4 | 4 | 14 | 16 | 21 | 48 | -27 | 19.38 | -3.38 |
| 12 | Sonderjyske | 22 | 2 | 7 | 13 | 13 | 17 | 41 | -24 | 20.59 | -7.59 |
| # | Team | GP | W | D | L | Pts | GF | GA | GD | SimPts | vsSim |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | FC Copenhagen Champion | 32 | 20 | 8 | 4 | 68 | 56 | 19 | +37 | 66.52 | +1.48 |
| 2 | Midtjylland | 32 | 20 | 5 | 7 | 65 | 59 | 33 | +26 | 55.96 | +9.04 |
| 3 | Silkeborg | 32 | 13 | 10 | 9 | 49 | 54 | 37 | +17 | 43.16 | +5.84 |
| 4 | Brondby | 32 | 13 | 9 | 10 | 48 | 40 | 41 | -1 | 53.25 | -5.25 |
| 5 | Aalborg | 32 | 13 | 6 | 13 | 45 | 47 | 45 | +2 | 51.02 | -6.02 |
| 6 | Randers | 32 | 12 | 7 | 13 | 43 | 36 | 42 | -6 | 42.97 | +0.03 |
| # | Team | GP | W | D | L | Pts | GF | GA | GD | SimPts | vsSim |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Viborg | 32 | 10 | 14 | 8 | 44 | 45 | 43 | +2 | 43.30 | +0.70 |
| 2 | Odense | 32 | 8 | 14 | 10 | 38 | 45 | 46 | -1 | 35.26 | +2.74 |
| 3 | Nordsjaelland | 32 | 8 | 12 | 12 | 36 | 38 | 47 | -9 | 33.71 | +2.29 |
| 4 | Aarhus GF | 32 | 6 | 12 | 14 | 30 | 31 | 43 | -12 | 43.27 | -13.27 |
| 5 | Vejle BK Relegated | 32 | 7 | 8 | 17 | 29 | 31 | 60 | -29 | 27.07 | +1.93 |
| 6 | Sonderjyske Relegated | 32 | 4 | 11 | 17 | 23 | 28 | 54 | -26 | 22.36 | +0.64 |
Going into Phase 2, both groups kept their full Phase 1 points. Each group then played its own round-robin to determine final standings.
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
Viborg
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| FC Copenhagen | 1855 | 48 | 39.31 | +8.69 | 94.9% | 18 | 30 | 35 | 39 | 43 | 49 | 60 |
| Midtjylland | 1822 | 42 | 37.88 | +4.12 | 79.1% | 18 | 29 | 34 | 38 | 42 | 47 | 60 |
| Silkeborg | 1731 | 31 | 31.51 | -0.51 | 50.1% | 11 | 22 | 28 | 31 | 35 | 41 | 54 |
| Brondby | 1669 | 40 | 33.88 | +6.12 | 87.4% | 14 | 24 | 30 | 34 | 38 | 43 | 58 |
| Viborg | 1662 | 27 | 26.97 | +0.03 | 54.4% | 7 | 18 | 23 | 27 | 31 | 37 | 48 |
| Aalborg | 1628 | 38 | 32.22 | +5.78 | 85.6% | 13 | 23 | 28 | 32 | 36 | 42 | 56 |
| Randers | 1617 | 33 | 30.49 | +2.51 | 69.9% | 11 | 21 | 27 | 30 | 34 | 40 | 56 |
| Odense | 1594 | 21 | 28.72 | -7.72 | 10.2% | 11 | 20 | 25 | 29 | 32 | 38 | 55 |
| Nordsjaelland | 1579 | 21 | 26.15 | -5.15 | 20.4% | 7 | 17 | 22 | 26 | 30 | 35 | 49 |
| Aarhus GF | 1550 | 26 | 29.10 | -3.10 | 32.7% | 10 | 20 | 25 | 29 | 33 | 39 | 52 |
| Vejle BK | 1491 | 16 | 19.38 | -3.38 | 30.3% | 4 | 11 | 16 | 19 | 23 | 28 | 42 |
| Sonderjyske | 1473 | 13 | 20.59 | -7.59 | 8.5% | 5 | 12 | 17 | 20 | 24 | 29 | 43 |
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 | MID | NOR | ODE | RAN | SIL | SON | VB | VIB |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Aalborg | — |
1-0-1
2.99
|
2-0-2
5.60
|
0-1-3
3.85
|
1-0-3
4.48
|
2-0-0
2.92
|
2-0-0
3.17
|
1-3-0
5.75
|
0-1-3
5.06
|
2-0-0
3.89
|
1-1-0
3.66
|
1-0-1
3.35
|
| Aarhus GF |
1-0-1
2.38
|
— |
0-2-0
2.19
|
0-1-1
1.97
|
1-0-1
1.53
|
0-3-1
6.25
|
0-2-2
5.22
|
0-0-2
2.55
|
1-1-0
2.41
|
2-1-1
7.32
|
1-1-2
7.27
|
0-1-3
5.43
|
| Brondby |
2-0-2
5.14
|
0-2-0
3.20
|
— |
1-1-2
3.70
|
2-1-1
3.75
|
1-0-1
3.39
|
1-1-0
3.18
|
1-1-2
5.96
|
2-1-1
5.31
|
1-0-1
4.03
|
1-1-0
3.81
|
1-1-0
3.19
|
| FC Copenhagen |
3-1-0
6.95
|
1-1-0
3.42
|
2-1-1
7.11
|
— |
2-1-1
6.39
|
2-0-0
3.99
|
2-0-0
3.37
|
3-0-1
7.71
|
1-2-1
6.62
|
1-1-0
4.08
|
2-0-0
4.24
|
1-1-0
3.97
|
| Midtjylland |
3-0-1
6.26
|
1-0-1
3.91
|
1-1-2
7.05
|
1-1-2
4.37
|
— |
1-1-0
3.65
|
0-1-1
3.41
|
4-0-0
7.29
|
4-0-0
6.03
|
2-0-0
4.04
|
1-1-0
4.11
|
2-0-0
3.35
|
| Nordsjaelland |
0-0-2
2.44
|
1-3-0
4.52
|
1-0-1
2.00
|
0-0-2
1.49
|
0-1-1
1.76
|
— |
1-1-2
5.02
|
0-1-1
2.24
|
0-1-1
2.16
|
2-2-0
6.39
|
2-1-1
6.92
|
1-2-1
4.67
|
| Odense |
0-0-2
2.20
|
2-2-0
5.51
|
0-1-1
2.20
|
0-0-2
2.04
|
1-1-0
1.97
|
2-1-1
5.72
|
— |
0-1-1
2.54
|
0-2-0
2.42
|
1-3-0
7.11
|
2-0-2
7.04
|
0-3-1
5.18
|
| Randers |
0-3-1
4.99
|
2-0-0
2.82
|
2-1-1
4.79
|
1-0-3
3.17
|
0-0-4
3.54
|
1-1-0
3.14
|
1-1-0
2.82
|
— |
1-0-3
4.34
|
1-1-0
3.67
|
2-0-0
3.38
|
1-0-1
3.23
|
| Silkeborg |
3-1-0
5.67
|
0-1-1
2.96
|
1-1-2
5.42
|
1-2-1
4.14
|
0-0-4
4.72
|
1-1-0
3.22
|
0-2-0
2.94
|
3-0-1
6.43
|
— |
1-1-0
3.20
|
2-0-0
3.77
|
1-1-0
2.98
|
| Sonderjyske |
0-0-2
1.54
|
1-1-2
3.50
|
1-0-1
1.45
|
0-1-1
1.38
|
0-0-2
1.43
|
0-2-2
4.37
|
0-3-1
3.69
|
0-1-1
1.74
|
0-1-1
2.17
|
— |
2-0-2
5.09
|
0-2-2
3.67
|
| Vejle BK |
0-1-1
1.76
|
2-1-1
3.55
|
0-1-1
1.63
|
0-0-2
1.26
|
0-1-1
1.36
|
1-1-2
3.87
|
2-0-2
3.75
|
0-0-2
2.04
|
0-0-2
1.67
|
2-0-2
5.65
|
— |
0-3-1
3.69
|
| Viborg |
1-0-1
2.03
|
3-1-0
5.31
|
0-1-1
2.18
|
0-1-1
1.48
|
0-0-2
2.04
|
1-2-1
6.08
|
1-3-0
5.56
|
1-0-1
2.14
|
0-1-1
2.39
|
2-2-0
7.16
|
1-3-0
7.12
|
— |
Points vs. Goals Scored, Allowed, and Differential
Points plotted against goals scored, allowed, and differential. Use the buttons to switch views; hover a team for exact values. The table gives each fit's R² and slope (the change in points per 10 goals).
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 | 5.73% | 7.81% | 7.55% | 2.60% | 0.78% | 0.52% | 25.00% |
| 1 | 7.81% | 16.15% | 6.77% | 3.12% | 1.56% | 0.26% | 35.68% |
| 2 | 7.55% | 6.77% | 8.33% | 2.86% | 0.78% | 0.26% | 26.56% |
| 3 | 2.60% | 3.12% | 2.86% | — | — | — | 8.59% |
| 4 | 0.78% | 1.56% | 0.78% | — | — | — | 3.12% |
| 5+ | 0.52% | 0.26% | 0.26% | — | — | — | 1.04% |
| Total | 25.00% | 35.68% | 26.56% | 8.59% | 3.12% | 1.04% | 100% |
Summary Statistics
| Scored | Allowed | Difference | |
|---|---|---|---|
| Mean | 1.33 | 1.33 | +0.00 |
| SD | 1.12 | 1.12 | 1.67 |
| CV | 0.84 | 0.84 | — |
| Max | 6 | 6 | +6 |
| Min | 0 | 0 | -6 |
Games Played: 192
| ↓ Scored | Allowed → | 0 | 1 | 2 | 3 | 4 | 5+ | Total |
|---|---|---|---|---|---|---|---|
| 0 | 6.25% | 9.38% | 3.12% | 3.12% | — | — | 21.88% |
| 1 | 6.25% | 6.25% | 9.38% | 6.25% | 3.12% | — | 31.25% |
| 2 | 12.50% | 3.12% | 6.25% | — | 3.12% | 3.12% | 28.12% |
| 3 | 6.25% | 3.12% | 6.25% | — | — | — | 15.62% |
| 4 | 3.12% | — | — | — | — | — | 3.12% |
| 5+ | — | — | — | — | — | — | — |
| Total | 34.38% | 21.88% | 25.00% | 9.38% | 6.25% | 3.12% | 100% |
Summary Statistics
| Scored | Allowed | Difference | |
|---|---|---|---|
| Mean | 1.47 | 1.41 | +0.06 |
| SD | 1.11 | 1.39 | 1.87 |
| CV | 0.75 | 0.99 | — |
| Max | 4 | 5 | +4 |
| Min | 0 | 0 | -3 |
Games Played: 32
| ↓ Scored | Allowed → | 0 | 1 | 2 | 3 | 4 | 5+ | Total |
|---|---|---|---|---|---|---|---|
| 0 | 9.38% | 12.50% | 9.38% | — | 3.12% | — | 34.38% |
| 1 | 9.38% | 18.75% | 9.38% | 3.12% | — | — | 40.62% |
| 2 | 3.12% | — | 9.38% | 6.25% | — | — | 18.75% |
| 3 | 3.12% | — | 3.12% | — | — | — | 6.25% |
| 4 | — | — | — | — | — | — | — |
| 5+ | — | — | — | — | — | — | — |
| Total | 25.00% | 31.25% | 31.25% | 9.38% | 3.12% | — | 100% |
Summary Statistics
| Scored | Allowed | Difference | |
|---|---|---|---|
| Mean | 0.97 | 1.34 | -0.38 |
| SD | 0.90 | 1.07 | 1.31 |
| CV | 0.93 | 0.79 | — |
| Max | 3 | 4 | +3 |
| Min | 0 | 0 | -4 |
Games Played: 32
| ↓ Scored | Allowed → | 0 | 1 | 2 | 3 | 4 | 5+ | Total |
|---|---|---|---|---|---|---|---|
| 0 | — | 12.50% | 3.12% | 6.25% | — | — | 21.88% |
| 1 | 12.50% | 18.75% | 3.12% | 3.12% | — | — | 37.50% |
| 2 | 6.25% | 15.62% | 9.38% | — | 3.12% | — | 34.38% |
| 3 | — | 3.12% | 3.12% | — | — | — | 6.25% |
| 4 | — | — | — | — | — | — | — |
| 5+ | — | — | — | — | — | — | — |
| Total | 18.75% | 50.00% | 18.75% | 9.38% | 3.12% | — | 100% |
Summary Statistics
| Scored | Allowed | Difference | |
|---|---|---|---|
| Mean | 1.25 | 1.28 | -0.03 |
| SD | 0.88 | 0.99 | 1.36 |
| CV | 0.70 | 0.77 | — |
| Max | 3 | 4 | +2 |
| Min | 0 | 0 | -3 |
Games Played: 32
| ↓ Scored | Allowed → | 0 | 1 | 2 | 3 | 4 | 5+ | Total |
|---|---|---|---|---|---|---|---|
| 0 | 9.38% | 6.25% | — | — | — | — | 15.62% |
| 1 | 12.50% | 12.50% | 3.12% | 3.12% | — | — | 31.25% |
| 2 | 21.88% | 3.12% | 3.12% | — | — | — | 28.12% |
| 3 | 9.38% | 6.25% | — | — | — | — | 15.62% |
| 4 | 3.12% | — | 3.12% | — | — | — | 6.25% |
| 5+ | — | 3.12% | — | — | — | — | 3.12% |
| Total | 56.25% | 31.25% | 9.38% | 3.12% | — | — | 100% |
Summary Statistics
| Scored | Allowed | Difference | |
|---|---|---|---|
| Mean | 1.75 | 0.59 | +1.16 |
| SD | 1.27 | 0.80 | 1.48 |
| CV | 0.73 | 1.34 | — |
| Max | 5 | 3 | +4 |
| Min | 0 | 0 | -2 |
Games Played: 32
| ↓ Scored | Allowed → | 0 | 1 | 2 | 3 | 4 | 5+ | Total |
|---|---|---|---|---|---|---|---|
| 0 | 3.12% | 6.25% | 6.25% | 3.12% | — | — | 18.75% |
| 1 | 12.50% | 3.12% | 6.25% | — | — | — | 21.88% |
| 2 | 12.50% | 3.12% | 9.38% | — | — | — | 25.00% |
| 3 | 3.12% | 12.50% | 9.38% | — | — | — | 25.00% |
| 4 | 3.12% | 6.25% | — | — | — | — | 9.38% |
| 5+ | — | — | — | — | — | — | — |
| Total | 34.38% | 31.25% | 31.25% | 3.12% | — | — | 100% |
Summary Statistics
| Scored | Allowed | Difference | |
|---|---|---|---|
| Mean | 1.84 | 1.03 | +0.81 |
| SD | 1.27 | 0.90 | 1.64 |
| CV | 0.69 | 0.87 | — |
| Max | 4 | 3 | +4 |
| Min | 0 | 0 | -3 |
Games Played: 32
| ↓ Scored | Allowed → | 0 | 1 | 2 | 3 | 4 | 5+ | Total |
|---|---|---|---|---|---|---|---|
| 0 | 9.38% | 3.12% | 15.62% | — | — | — | 28.12% |
| 1 | 3.12% | 15.62% | 9.38% | — | 3.12% | 3.12% | 34.38% |
| 2 | 9.38% | 3.12% | 12.50% | 3.12% | — | — | 28.12% |
| 3 | — | 6.25% | 3.12% | — | — | — | 9.38% |
| 4 | — | — | — | — | — | — | — |
| 5+ | — | — | — | — | — | — | — |
| Total | 21.88% | 28.12% | 40.62% | 3.12% | 3.12% | 3.12% | 100% |
Summary Statistics
| Scored | Allowed | Difference | |
|---|---|---|---|
| Mean | 1.19 | 1.47 | -0.28 |
| SD | 0.97 | 1.16 | 1.51 |
| CV | 0.81 | 0.79 | — |
| Max | 3 | 5 | +2 |
| Min | 0 | 0 | -4 |
Games Played: 32
| ↓ Scored | Allowed → | 0 | 1 | 2 | 3 | 4 | 5+ | Total |
|---|---|---|---|---|---|---|---|
| 0 | 3.12% | — | 12.50% | — | — | — | 15.62% |
| 1 | 3.12% | 25.00% | 9.38% | 3.12% | — | — | 40.62% |
| 2 | 3.12% | 15.62% | 15.62% | 6.25% | — | — | 40.62% |
| 3 | — | — | — | — | — | — | — |
| 4 | — | — | — | — | — | — | — |
| 5+ | 3.12% | — | — | — | — | — | 3.12% |
| Total | 12.50% | 40.62% | 37.50% | 9.38% | — | — | 100% |
Summary Statistics
| Scored | Allowed | Difference | |
|---|---|---|---|
| Mean | 1.41 | 1.44 | -0.03 |
| SD | 1.10 | 0.84 | 1.51 |
| CV | 0.78 | 0.58 | — |
| Max | 6 | 3 | +6 |
| Min | 0 | 0 | -2 |
Games Played: 32
| ↓ Scored | Allowed → | 0 | 1 | 2 | 3 | 4 | 5+ | Total |
|---|---|---|---|---|---|---|---|
| 0 | 3.12% | 12.50% | 6.25% | 6.25% | — | — | 28.12% |
| 1 | 12.50% | 15.62% | 6.25% | 6.25% | — | — | 40.62% |
| 2 | 3.12% | 15.62% | 3.12% | 3.12% | — | — | 25.00% |
| 3 | — | — | 3.12% | — | — | — | 3.12% |
| 4 | — | 3.12% | — | — | — | — | 3.12% |
| 5+ | — | — | — | — | — | — | — |
| Total | 18.75% | 46.88% | 18.75% | 15.62% | — | — | 100% |
Summary Statistics
| Scored | Allowed | Difference | |
|---|---|---|---|
| Mean | 1.12 | 1.31 | -0.19 |
| SD | 0.98 | 0.97 | 1.42 |
| CV | 0.87 | 0.74 | — |
| Max | 4 | 3 | +3 |
| Min | 0 | 0 | -3 |
Games Played: 32
| ↓ Scored | Allowed → | 0 | 1 | 2 | 3 | 4 | 5+ | Total |
|---|---|---|---|---|---|---|---|
| 0 | 12.50% | 6.25% | 3.12% | 3.12% | — | — | 25.00% |
| 1 | 3.12% | 18.75% | 9.38% | — | 3.12% | — | 34.38% |
| 2 | — | 9.38% | — | 3.12% | — | — | 12.50% |
| 3 | 6.25% | 3.12% | — | — | — | — | 9.38% |
| 4 | — | 9.38% | 6.25% | — | — | — | 15.62% |
| 5+ | 3.12% | — | — | — | — | — | 3.12% |
| Total | 25.00% | 46.88% | 18.75% | 6.25% | 3.12% | — | 100% |
Summary Statistics
| Scored | Allowed | Difference | |
|---|---|---|---|
| Mean | 1.69 | 1.16 | +0.53 |
| SD | 1.60 | 0.99 | 1.93 |
| CV | 0.95 | 0.85 | — |
| Max | 6 | 4 | +6 |
| Min | 0 | 0 | -3 |
Games Played: 32
| ↓ Scored | Allowed → | 0 | 1 | 2 | 3 | 4 | 5+ | Total |
|---|---|---|---|---|---|---|---|
| 0 | 3.12% | 12.50% | 15.62% | — | 3.12% | 3.12% | 37.50% |
| 1 | 6.25% | 21.88% | 6.25% | 6.25% | — | — | 40.62% |
| 2 | — | 3.12% | 9.38% | 6.25% | — | — | 18.75% |
| 3 | 3.12% | — | — | — | — | — | 3.12% |
| 4 | — | — | — | — | — | — | — |
| 5+ | — | — | — | — | — | — | — |
| Total | 12.50% | 37.50% | 31.25% | 12.50% | 3.12% | 3.12% | 100% |
Summary Statistics
| Scored | Allowed | Difference | |
|---|---|---|---|
| Mean | 0.88 | 1.69 | -0.81 |
| SD | 0.83 | 1.26 | 1.60 |
| CV | 0.95 | 0.74 | — |
| Max | 3 | 6 | +3 |
| Min | 0 | 0 | -6 |
Games Played: 32
| ↓ Scored | Allowed → | 0 | 1 | 2 | 3 | 4 | 5+ | Total |
|---|---|---|---|---|---|---|---|
| 0 | 9.38% | 9.38% | 6.25% | 9.38% | 3.12% | 3.12% | 40.62% |
| 1 | 6.25% | 6.25% | 6.25% | 3.12% | 6.25% | — | 28.12% |
| 2 | 6.25% | 3.12% | 9.38% | 3.12% | 3.12% | — | 25.00% |
| 3 | — | 3.12% | 3.12% | — | — | — | 6.25% |
| 4 | — | — | — | — | — | — | — |
| 5+ | — | — | — | — | — | — | — |
| Total | 21.88% | 21.88% | 25.00% | 15.62% | 12.50% | 3.12% | 100% |
Summary Statistics
| Scored | Allowed | Difference | |
|---|---|---|---|
| Mean | 0.97 | 1.88 | -0.91 |
| SD | 0.97 | 1.52 | 1.87 |
| CV | 1.00 | 0.81 | — |
| Max | 3 | 6 | +2 |
| Min | 0 | 0 | -6 |
Games Played: 32
| ↓ Scored | Allowed → | 0 | 1 | 2 | 3 | 4 | 5+ | Total |
|---|---|---|---|---|---|---|---|
| 0 | — | 3.12% | 9.38% | — | — | — | 12.50% |
| 1 | 6.25% | 31.25% | 3.12% | 3.12% | 3.12% | — | 46.88% |
| 2 | 12.50% | 6.25% | 12.50% | 3.12% | — | — | 34.38% |
| 3 | — | — | 3.12% | — | — | — | 3.12% |
| 4 | — | — | — | — | — | — | — |
| 5+ | — | — | 3.12% | — | — | — | 3.12% |
| Total | 18.75% | 40.62% | 31.25% | 6.25% | 3.12% | — | 100% |
Summary Statistics
| Scored | Allowed | Difference | |
|---|---|---|---|
| Mean | 1.41 | 1.34 | +0.06 |
| SD | 0.98 | 0.97 | 1.37 |
| CV | 0.70 | 0.72 | — |
| Max | 5 | 4 | +3 |
| Min | 0 | 0 | -3 |
Games Played: 32
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.
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 | Midtjylland | 65 | 55.96 | +9.04 |
| 2 | Silkeborg | 49 | 43.16 | +5.84 |
| 3 | Odense | 38 | 35.26 | +2.74 |
| 4 | Nordsjaelland | 36 | 33.71 | +2.29 |
| 5 | Vejle BK | 29 | 27.07 | +1.93 |
Biggest Disappointments
| # | Team | Actual | Sim | vsSim |
|---|---|---|---|---|
| 1 | Aarhus GF | 30 | 43.27 | -13.27 |
| 2 | Aalborg | 45 | 51.02 | -6.02 |
| 3 | Brondby | 48 | 53.25 | -5.25 |
| 4 | Randers | 43 | 42.97 | +0.03 |
| 5 | Sonderjyske | 23 | 22.36 | +0.64 |
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.
Most Unlikely Winning Streaks
| # | Team | Games | Dates | Probability |
|---|---|---|---|---|
| 1 | Brondby | 9 | Oct 17 – Mar 6 | 1 in 2,646 |
| 2 | Silkeborg | 6 | Apr 10 – May 6 | 1 in 336 |
| 3 | FC Copenhagen | 8 | Nov 28 – Apr 10 | 1 in 182 |
| 4 | Midtjylland | 5 | Jul 24 – Aug 20 | 1 in 48 |
| 5 | Nordsjaelland | 4 | Aug 2 – Aug 23 | 1 in 47 |
Most Unlikely Losing Streaks
| # | Team | Games | Dates | Probability |
|---|---|---|---|---|
| 1 | Brondby | 7 | Mar 20 – May 1 | 1 in 1,279 |
| 2 | Nordsjaelland | 5 | Aug 27 – Oct 3 | 1 in 97 |
| 3 | Silkeborg | 4 | Mar 6 – Apr 4 | 1 in 85 |
| 4 | Aarhus GF | 4 | Aug 1 – Aug 22 | 1 in 72 |
| 5 | Aalborg | 4 | Apr 18 – May 8 | 1 in 39 |
Most Unlikely Unbeaten Streaks
| # | Team | Games | Dates | Probability |
|---|---|---|---|---|
| 1 | Brondby | 12 | Sep 26 – Mar 13 | 1 in 52 |
| 2 | Nordsjaelland | 9 | Apr 10 – May 21 | 1 in 43 |
| 3 | Silkeborg | 10 | Sep 26 – Feb 27 | 1 in 30 |
| 4 | Odense | 9 | Apr 3 – May 15 | 1 in 24 |
| 5 | Aalborg | 7 | Aug 1 – Sep 17 | 1 in 15 |
Most Unlikely Winless Streaks
| # | Team | Games | Dates | Probability |
|---|---|---|---|---|
| 1 | Aarhus GF | 14 | Feb 25 – May 21 | 1 in 2,274 |
| 2 | Nordsjaelland | 13 | Aug 27 – Feb 27 | 1 in 59 |
| 3 | Brondby | 10 | Mar 13 – May 12 | 1 in 47 |
| 4 | Midtjylland | 5 | Nov 7 – Feb 27 | 1 in 40 |
| 5 | Sonderjyske | 16 | Sep 27 – Apr 15 | 1 in 24 |
Finish Position Heatmap
Each cell is the probability that the team (row) finished at that position (column). Use the buttons to switch between the first-phase positions when the league split and the final second-phase positions. Rows are sorted by actual finish (champion at top).
| Team | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| FC Copenhagen | 42.07% | 22.23% | 13.59% | 8.26% | 5.36% | 3.60% | 2.32% | 1.36% | 0.62% | 0.41% | 0.16% | 0.02% |
| Midtjylland | 27.80% | 24.23% | 15.91% | 11.97% | 7.64% | 4.90% | 3.36% | 2.20% | 1.10% | 0.55% | 0.31% | 0.03% |
| Brondby | 10.06% | 13.96% | 15.93% | 14.48% | 12.25% | 10.30% | 8.06% | 6.32% | 4.39% | 2.64% | 1.23% | 0.38% |
| Aalborg | 6.14% | 10.97% | 13.36% | 13.18% | 12.59% | 11.88% | 10.15% | 8.24% | 6.02% | 4.46% | 2.17% | 0.84% |
| Randers | 3.58% | 6.98% | 9.05% | 10.66% | 12.09% | 12.72% | 11.98% | 11.06% | 9.29% | 6.89% | 4.03% | 1.67% |
| Silkeborg | 5.06% | 8.99% | 11.94% | 13.12% | 13.18% | 12.18% | 10.13% | 9.01% | 7.16% | 5.36% | 2.78% | 1.09% |
| Viborg | 0.95% | 2.58% | 3.99% | 5.77% | 7.62% | 9.54% | 11.96% | 13.69% | 14.54% | 13.86% | 10.29% | 5.21% |
| Aarhus GF | 1.89% | 4.27% | 6.86% | 8.85% | 10.60% | 11.84% | 12.15% | 13.00% | 11.77% | 9.87% | 6.06% | 2.84% |
| Odense | 1.84% | 4.03% | 6.08% | 7.91% | 10.47% | 11.21% | 13.29% | 12.55% | 12.51% | 10.23% | 6.82% | 3.06% |
| Nordsjaelland | 0.54% | 1.47% | 2.79% | 4.71% | 6.20% | 8.54% | 10.44% | 13.09% | 15.20% | 16.92% | 13.26% | 6.84% |
| Vejle BK | 0.05% | 0.15% | 0.21% | 0.42% | 0.79% | 1.21% | 2.72% | 4.06% | 7.38% | 13.13% | 24.43% | 45.45% |
| Sonderjyske | 0.02% | 0.14% | 0.29% | 0.67% | 1.21% | 2.08% | 3.44% | 5.42% | 10.02% | 15.68% | 28.46% | 32.57% |
| Team | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| FC Copenhagen | 90.08% | 8.19% | 1.45% | 0.26% | 0.02% | — | — | — | — | — | — | — |
| Midtjylland | 6.44% | 49.41% | 27.24% | 13.38% | 3.14% | 0.39% | — | — | — | — | — | — |
| Silkeborg | — | 0.94% | 3.71% | 11.23% | 36.36% | 47.76% | — | — | — | — | — | — |
| Brondby | 2.55% | 25.88% | 37.52% | 25.18% | 7.48% | 1.39% | — | — | — | — | — | — |
| Aalborg | 0.91% | 14.72% | 26.58% | 39.37% | 14.42% | 4.00% | — | — | — | — | — | — |
| Randers | 0.02% | 0.86% | 3.50% | 10.58% | 38.58% | 46.46% | — | — | — | — | — | — |
| Viborg | — | — | — | — | — | — | 48.28% | 36.41% | 11.61% | 3.34% | 0.36% | — |
| Odense | — | — | — | — | — | — | 4.66% | 14.00% | 40.81% | 29.66% | 9.46% | 1.41% |
| Nordsjaelland | — | — | — | — | — | — | 2.62% | 8.71% | 29.24% | 42.49% | 14.65% | 2.29% |
| Aarhus GF | — | — | — | — | — | — | 44.24% | 39.81% | 12.15% | 3.36% | 0.44% | — |
| Vejle BK | — | — | — | — | — | — | 0.20% | 1.03% | 5.20% | 16.84% | 54.82% | 21.91% |
| Sonderjyske | — | — | — | — | — | — | — | 0.04% | 0.99% | 4.31% | 20.27% | 74.39% |
Points Required Per Position
The empirical CDF of simulated point totals per finishing position. Use the buttons to switch between the first-phase distribution and the second-phase championship and relegation groups. Reading a curve at the 50% mark gives the median points typically needed to finish at that position.
Points Totals in Context
Each team's actual results against four model perspectives: simulated points, team Elo, average opponent Elo, and percentile within simulated outcomes. First phase is on the left, second phase on the right; the buttons switch the perspective on both plots at once. Dashed crosshairs at each plot's league means split it into four quadrants.
First Phase
Second Phase
First Phase
Second Phase
First Phase
Second Phase
First Phase
Second Phase
Season Trends
How each metric evolved across the season - Elo rating, actual and projected points, title/promotion probability, and relegation probability - day by day.
Season metrics are available for completed seasons.
Elo Progression Through The Playoffs
How each team's Elo rating moved through the playoff games. Game 0 is the starting Elo just before the first game; each later point is the post-game Elo after that fixture. Steep upward moves are wins over higher-rated opponents; sharp drops are losses to lower-rated opponents.
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 |
|---|---|---|
| FC Copenhagen | 100% | — |
| Midtjylland | 99.89% | 0.11% |
| Brondby | 99.41% | 0.59% |
| Aalborg | 98.96% | 1.04% |
| Silkeborg | 98.39% | 1.61% |
| Randers | 96.48% | 3.52% |
| Aarhus GF | 94.70% | 5.30% |
| Odense | 89.26% | 10.74% |
| Viborg | 89.18% | 10.82% |
| Nordsjaelland | 76.39% | 23.61% |
| Vejle BK | 29.33% | 70.67% |
| Sonderjyske | 28.01% | 71.99% |
Actual Promotion/Relegation Outcomes
Across 100,000 simulations that took the actual first-phase results as FIXED and projected only the second-phase games, the probability of each team's end-of-season outcome. With the league split already decided, contenders and relegation candidates settle into clearer roles than in the full-season sim above.
| Team | Same level | Lost relegation playoff |
|---|---|---|
| Viborg | 99.64% | 0.36% |
| Aarhus GF | 99.56% | 0.44% |
| Odense | 89.13% | 10.87% |
| Nordsjaelland | 83.06% | 16.94% |
| Vejle BK | 23.27% | 76.73% |
| Sonderjyske | 5.34% | 94.66% |
Overall Game Log
Summary of every completed game this season. Sort any column by clicking its header.
| Date | Opponent | Score | Pre Elo | Opp Elo | Win % | Tie % | Loss % | Elo Δ | Points |
|---|---|---|---|---|---|---|---|---|---|
| 2021-07-16 | Odense | L 1-2 | 1699 | 1624 | 48.28% | 30.40% | 21.32% | -14.0 | 0 |
| 2021-07-16 | @ Midtjylland | W 2-1 | 1624 | 1699 | 21.32% | 30.40% | 48.28% | +14.0 | 3 |
| 2021-07-18 | Aalborg | D 2-2 | 1671 | 1635 | 43.33% | 31.27% | 25.40% | -0.8 | 1 |
| 2021-07-18 | @ FC Copenhagen | D 2-2 | 1635 | 1671 | 25.40% | 31.27% | 43.33% | +0.8 | 1 |
| 2021-07-18 | Brondby | D 1-1 | 1659 | 1681 | 35.34% | 31.85% | 32.81% | -0.1 | 1 |
| 2021-07-18 | @ Aarhus GF | D 1-1 | 1681 | 1659 | 32.81% | 31.85% | 35.34% | +0.1 | 1 |
| 2021-07-18 | Randers | L 0-2 | 1602 | 1632 | 34.20% | 31.86% | 33.93% | -21.7 | 0 |
| 2021-07-18 | @ Vejle BK | W 2-0 | 1632 | 1602 | 33.93% | 31.86% | 34.20% | +21.6 | 3 |
| 2021-07-18 | Viborg | L 1-2 | 1637 | 1611 | 41.96% | 31.44% | 26.60% | -12.5 | 0 |
| 2021-07-18 | @ Nordsjaelland | W 2-1 | 1611 | 1637 | 26.60% | 31.44% | 41.96% | +12.5 | 3 |
| 2021-07-19 | Sonderjyske | D 0-0 | 1618 | 1603 | 40.51% | 31.58% | 27.91% | -0.9 | 1 |
| 2021-07-19 | @ Silkeborg | D 0-0 | 1603 | 1618 | 27.91% | 31.58% | 40.51% | +0.9 | 1 |
| 2021-07-24 | Midtjylland | L 0-1 | 1635 | 1685 | 31.38% | 31.81% | 36.81% | -10.8 | 1 |
| 2021-07-24 | @ Aalborg | W 1-0 | 1685 | 1635 | 36.81% | 31.81% | 31.38% | +10.8 | 3 |
| 2021-07-25 | Aarhus GF | D 0-0 | 1624 | 1659 | 33.51% | 31.86% | 34.62% | +0.1 | 1 |
| 2021-07-25 | @ Nordsjaelland | D 0-0 | 1659 | 1624 | 34.62% | 31.86% | 33.51% | -0.1 | 2 |
| 2021-07-25 | Odense | D 1-1 | 1653 | 1638 | 40.53% | 31.58% | 27.89% | -0.8 | 4 |
| 2021-07-25 | @ Randers | D 1-1 | 1638 | 1653 | 27.89% | 31.58% | 40.53% | +0.8 | 4 |
| 2021-07-25 | Silkeborg | D 0-0 | 1670 | 1618 | 45.42% | 30.95% | 23.62% | -1.6 | 2 |
| 2021-07-25 | @ FC Copenhagen | D 0-0 | 1618 | 1670 | 23.62% | 30.95% | 45.42% | +1.5 | 2 |
| 2021-07-25 | Viborg | D 1-1 | 1681 | 1623 | 46.07% | 30.84% | 23.09% | -1.5 | 2 |
| 2021-07-25 | @ Brondby | D 1-1 | 1623 | 1681 | 23.09% | 30.84% | 46.07% | +1.5 | 4 |
| 2021-07-26 | Vejle BK | W 1-0 | 1604 | 1580 | 41.66% | 31.47% | 26.87% | +9.7 | 4 |
| 2021-07-26 | @ Sonderjyske | L 0-1 | 1580 | 1604 | 26.87% | 31.47% | 41.66% | -9.7 | 0 |
| 2021-07-31 | Midtjylland | L 0-2 | 1625 | 1696 | 28.55% | 31.64% | 39.81% | -19.1 | 4 |
| 2021-07-31 | @ Viborg | W 2-0 | 1696 | 1625 | 39.81% | 31.64% | 28.55% | +19.1 | 6 |
| 2021-08-01 | Aalborg | D 0-0 | 1619 | 1625 | 37.64% | 31.78% | 30.58% | -0.5 | 3 |
| 2021-08-01 | @ Silkeborg | D 0-0 | 1625 | 1619 | 30.58% | 31.78% | 37.64% | +0.5 | 2 |
| 2021-08-01 | Brondby | D 2-2 | 1571 | 1679 | 24.17% | 31.06% | 44.77% | +1.0 | 1 |
| 2021-08-01 | @ Vejle BK | D 2-2 | 1679 | 1571 | 44.77% | 31.06% | 24.17% | -1.0 | 3 |
| 2021-08-01 | FC Copenhagen | L 0-2 | 1639 | 1669 | 34.18% | 31.86% | 33.95% | -21.7 | 4 |
| 2021-08-01 | @ Odense | W 2-0 | 1669 | 1639 | 33.95% | 31.86% | 34.18% | +21.7 | 5 |
| 2021-08-01 | Randers | L 1-2 | 1659 | 1652 | 39.26% | 31.68% | 29.06% | -11.9 | 2 |
| 2021-08-01 | @ Aarhus GF | W 2-1 | 1652 | 1659 | 29.06% | 31.68% | 39.26% | +11.9 | 7 |
| 2021-08-02 | Nordsjaelland | L 0-2 | 1614 | 1624 | 36.93% | 31.81% | 31.26% | -22.9 | 4 |
| 2021-08-02 | @ Sonderjyske | W 2-0 | 1624 | 1614 | 31.26% | 31.81% | 36.93% | +22.8 | 4 |
| 2021-08-06 | Vejle BK | W 4-1 | 1715 | 1572 | 56.11% | 28.11% | 15.79% | +14.2 | 9 |
| 2021-08-06 | @ Midtjylland | L 1-4 | 1572 | 1715 | 15.79% | 28.11% | 56.11% | -14.2 | 1 |
| 2021-08-06 | Viborg | W 4-1 | 1619 | 1606 | 40.20% | 31.61% | 28.19% | +23.1 | 6 |
| 2021-08-06 | @ Silkeborg | L 1-4 | 1606 | 1619 | 28.19% | 31.61% | 40.20% | -23.1 | 4 |
| 2021-08-08 | Aarhus GF | W 2-0 | 1625 | 1647 | 35.37% | 31.85% | 32.78% | +21.0 | 5 |
| 2021-08-08 | @ Aalborg | L 0-2 | 1647 | 1625 | 32.78% | 31.85% | 35.37% | -21.0 | 2 |
| 2021-08-08 | Brondby | W 4-2 | 1690 | 1678 | 40.04% | 31.62% | 28.34% | +14.7 | 8 |
| 2021-08-08 | @ FC Copenhagen | L 2-4 | 1678 | 1690 | 28.34% | 31.62% | 40.04% | -14.7 | 3 |
| 2021-08-08 | Sonderjyske | W 1-0 | 1664 | 1591 | 48.06% | 30.45% | 21.50% | +8.1 | 10 |
| 2021-08-08 | @ Randers | L 0-1 | 1591 | 1664 | 21.50% | 30.45% | 48.06% | -8.1 | 4 |
| 2021-08-09 | Odense | W 3-1 | 1647 | 1617 | 42.49% | 31.37% | 26.13% | +15.5 | 7 |
| 2021-08-09 | @ Nordsjaelland | L 1-3 | 1617 | 1647 | 26.13% | 31.37% | 42.49% | -15.5 | 4 |
| 2021-08-13 | Midtjylland | L 0-2 | 1583 | 1729 | 20.40% | 30.12% | 49.48% | -14.6 | 4 |
| 2021-08-13 | @ Sonderjyske | W 2-0 | 1729 | 1583 | 49.48% | 30.12% | 20.40% | +14.6 | 12 |
| 2021-08-13 | Nordsjaelland | L 0-1 | 1664 | 1663 | 38.57% | 31.73% | 29.70% | -12.5 | 3 |
| 2021-08-13 | @ Brondby | W 1-0 | 1663 | 1664 | 29.70% | 31.73% | 38.57% | +12.5 | 10 |
| 2021-08-13 | Randers | L 1-2 | 1582 | 1673 | 26.29% | 31.40% | 42.32% | -9.0 | 4 |
| 2021-08-13 | @ Viborg | W 2-1 | 1673 | 1582 | 42.32% | 31.40% | 26.29% | +9.0 | 13 |
| 2021-08-15 | FC Copenhagen | L 1-3 | 1626 | 1705 | 27.59% | 31.55% | 40.86% | -16.1 | 2 |
| 2021-08-15 | @ Aarhus GF | W 3-1 | 1705 | 1626 | 40.86% | 31.55% | 27.59% | +16.1 | 11 |
| 2021-08-15 | Silkeborg | D 1-1 | 1602 | 1642 | 32.72% | 31.85% | 35.43% | +0.2 | 5 |
| 2021-08-15 | @ Odense | D 1-1 | 1642 | 1602 | 35.43% | 31.85% | 32.72% | -0.2 | 7 |
| 2021-08-16 | Aalborg | L 0-1 | 1557 | 1646 | 26.44% | 31.42% | 42.14% | -9.6 | 1 |
| 2021-08-16 | @ Vejle BK | W 1-0 | 1646 | 1557 | 42.14% | 31.42% | 26.44% | +9.6 | 8 |
| 2021-08-20 | Silkeborg | W 3-0 | 1744 | 1642 | 51.50% | 29.60% | 18.90% | +19.9 | 15 |
| 2021-08-20 | @ Midtjylland | L 0-3 | 1642 | 1744 | 18.90% | 29.60% | 51.50% | -19.9 | 7 |
| 2021-08-21 | Brondby | D 2-2 | 1602 | 1651 | 31.44% | 31.82% | 36.75% | +0.2 | 6 |
| 2021-08-21 | @ Odense | D 2-2 | 1651 | 1602 | 36.75% | 31.82% | 31.44% | -0.2 | 4 |
| 2021-08-22 | Aalborg | D 1-1 | 1682 | 1656 | 41.94% | 31.44% | 26.63% | -1.0 | 14 |
| 2021-08-22 | @ Randers | D 1-1 | 1656 | 1682 | 26.63% | 31.44% | 41.94% | +1.0 | 9 |
| 2021-08-22 | Aarhus GF | W 2-0 | 1574 | 1610 | 33.30% | 31.86% | 34.84% | +21.9 | 7 |
| 2021-08-22 | @ Viborg | L 0-2 | 1610 | 1574 | 34.84% | 31.86% | 33.30% | -21.9 | 2 |
| 2021-08-22 | Sonderjyske | W 2-0 | 1721 | 1568 | 57.09% | 27.74% | 15.17% | +11.1 | 14 |
| 2021-08-22 | @ FC Copenhagen | L 0-2 | 1568 | 1721 | 15.17% | 27.74% | 57.09% | -11.1 | 4 |
| 2021-08-23 | Vejle BK | W 3-1 | 1675 | 1548 | 54.31% | 28.74% | 16.95% | +10.7 | 13 |
| 2021-08-23 | @ Nordsjaelland | L 1-3 | 1548 | 1675 | 16.95% | 28.74% | 54.31% | -10.7 | 1 |
| 2021-08-27 | Nordsjaelland | W 2-1 | 1657 | 1686 | 34.29% | 31.86% | 33.85% | +10.8 | 12 |
| 2021-08-27 | @ Aalborg | L 1-2 | 1686 | 1657 | 33.85% | 31.86% | 34.29% | -10.8 | 13 |
| 2021-08-29 | FC Copenhagen | L 0-4 | 1537 | 1732 | 16.48% | 28.50% | 55.02% | -22.9 | 1 |
| 2021-08-29 | @ Vejle BK | W 4-0 | 1732 | 1537 | 55.02% | 28.50% | 16.48% | +22.9 | 17 |
| 2021-08-29 | Midtjylland | W 2-0 | 1651 | 1764 | 23.72% | 30.97% | 45.30% | +26.6 | 7 |
| 2021-08-29 | @ Brondby | L 0-2 | 1764 | 1651 | 45.30% | 30.97% | 23.72% | -26.6 | 15 |
| 2021-08-29 | Odense | D 2-2 | 1588 | 1602 | 36.40% | 31.83% | 31.77% | -0.2 | 3 |
| 2021-08-29 | @ Aarhus GF | D 2-2 | 1602 | 1588 | 31.77% | 31.83% | 36.40% | +0.2 | 7 |
| 2021-08-29 | Randers | W 2-1 | 1622 | 1681 | 30.18% | 31.76% | 38.07% | +11.7 | 10 |
| 2021-08-29 | @ Silkeborg | L 1-2 | 1681 | 1622 | 38.07% | 31.76% | 30.18% | -11.7 | 14 |
| 2021-08-29 | Viborg | D 2-2 | 1557 | 1595 | 32.95% | 31.86% | 35.19% | +0.1 | 5 |
| 2021-08-29 | @ Sonderjyske | D 2-2 | 1595 | 1557 | 35.19% | 31.86% | 32.95% | -0.1 | 8 |
| 2021-09-10 | Nordsjaelland | W 2-0 | 1737 | 1675 | 46.66% | 30.73% | 22.61% | +15.9 | 18 |
| 2021-09-10 | @ Midtjylland | L 0-2 | 1675 | 1737 | 22.61% | 30.73% | 46.66% | -16.0 | 13 |
| 2021-09-10 | Silkeborg | D 1-1 | 1678 | 1633 | 44.35% | 31.12% | 24.52% | -1.3 | 8 |
| 2021-09-10 | @ Brondby | D 1-1 | 1633 | 1678 | 24.52% | 31.12% | 44.35% | +1.2 | 11 |
| 2021-09-12 | Aalborg | L 2-3 | 1595 | 1667 | 28.48% | 31.64% | 39.88% | -9.0 | 8 |
| 2021-09-12 | @ Viborg | W 3-2 | 1667 | 1595 | 39.88% | 31.64% | 28.48% | +9.0 | 15 |
| 2021-09-12 | FC Copenhagen | L 0-2 | 1669 | 1755 | 26.75% | 31.46% | 41.79% | -18.2 | 14 |
| 2021-09-12 | @ Randers | W 2-0 | 1755 | 1669 | 41.79% | 31.46% | 26.75% | +18.2 | 20 |
| 2021-09-12 | Vejle BK | W 1-0 | 1587 | 1514 | 48.02% | 30.46% | 21.53% | +8.1 | 6 |
| 2021-09-12 | @ Aarhus GF | L 0-1 | 1514 | 1587 | 21.53% | 30.46% | 48.02% | -8.1 | 1 |
| 2021-09-13 | Sonderjyske | W 2-1 | 1602 | 1557 | 44.47% | 31.11% | 24.42% | +8.5 | 10 |
| 2021-09-13 | @ Odense | L 1-2 | 1557 | 1602 | 24.42% | 31.11% | 44.47% | -8.5 | 5 |
| 2021-09-17 | Odense | W 2-0 | 1676 | 1611 | 47.09% | 30.65% | 22.27% | +15.8 | 18 |
| 2021-09-17 | @ Aalborg | L 0-2 | 1611 | 1676 | 22.27% | 30.65% | 47.09% | -15.8 | 10 |
| 2021-09-19 | Brondby | W 1-0 | 1549 | 1676 | 22.20% | 30.63% | 47.17% | +14.6 | 8 |
| 2021-09-19 | @ Sonderjyske | L 0-1 | 1676 | 1549 | 47.17% | 30.63% | 22.20% | -14.6 | 8 |
| 2021-09-19 | Midtjylland | L 0-1 | 1773 | 1753 | 41.14% | 31.52% | 27.34% | -13.1 | 20 |
| 2021-09-19 | @ FC Copenhagen | W 1-0 | 1753 | 1773 | 27.34% | 31.52% | 41.14% | +13.1 | 21 |
| 2021-09-19 | Nordsjaelland | W 3-2 | 1651 | 1659 | 37.24% | 31.80% | 30.96% | +9.6 | 17 |
| 2021-09-19 | @ Randers | L 2-3 | 1659 | 1651 | 30.96% | 31.80% | 37.24% | -9.6 | 13 |
| 2021-09-19 | Viborg | D 1-1 | 1506 | 1586 | 27.46% | 31.54% | 41.01% | +0.8 | 2 |
| 2021-09-19 | @ Vejle BK | D 1-1 | 1586 | 1506 | 41.01% | 31.54% | 27.46% | -0.8 | 9 |
| 2021-09-20 | Aarhus GF | L 0-2 | 1635 | 1596 | 43.68% | 31.22% | 25.10% | -25.9 | 11 |
| 2021-09-20 | @ Silkeborg | W 2-0 | 1596 | 1635 | 25.10% | 31.22% | 43.68% | +25.9 | 9 |
| 2021-09-26 | Aalborg | W 2-1 | 1662 | 1692 | 34.11% | 31.86% | 34.03% | +10.8 | 11 |
| 2021-09-26 | @ Brondby | L 1-2 | 1692 | 1662 | 34.03% | 31.86% | 34.11% | -10.8 | 18 |
| 2021-09-26 | FC Copenhagen | L 1-5 | 1650 | 1760 | 23.98% | 31.02% | 45.00% | -26.4 | 13 |
| 2021-09-26 | @ Nordsjaelland | W 5-1 | 1760 | 1650 | 45.00% | 31.02% | 23.98% | +26.4 | 23 |
| 2021-09-26 | Odense | D 1-1 | 1585 | 1595 | 37.09% | 31.80% | 31.10% | -0.4 | 10 |
| 2021-09-26 | @ Viborg | D 1-1 | 1595 | 1585 | 31.10% | 31.80% | 37.09% | +0.4 | 11 |
| 2021-09-26 | Randers | W 1-0 | 1766 | 1660 | 51.92% | 29.48% | 18.60% | +7.2 | 24 |
| 2021-09-26 | @ Midtjylland | L 0-1 | 1660 | 1766 | 18.60% | 29.48% | 51.92% | -7.2 | 17 |
| 2021-09-26 | Silkeborg | L 2-4 | 1507 | 1609 | 24.93% | 31.19% | 43.87% | -13.3 | 2 |
| 2021-09-26 | @ Vejle BK | W 4-2 | 1609 | 1507 | 43.87% | 31.19% | 24.93% | +13.3 | 14 |
| 2021-09-27 | Sonderjyske | W 1-0 | 1621 | 1563 | 46.15% | 30.83% | 23.02% | +8.6 | 12 |
| 2021-09-27 | @ Aarhus GF | L 0-1 | 1563 | 1621 | 23.02% | 30.83% | 46.15% | -8.6 | 8 |
| 2021-10-01 | Vejle BK | W 6-0 | 1595 | 1494 | 51.42% | 29.62% | 18.96% | +38.2 | 14 |
| 2021-10-01 | @ Odense | L 0-6 | 1494 | 1595 | 18.96% | 29.62% | 51.42% | -38.2 | 2 |
| 2021-10-03 | Aarhus GF | W 4-0 | 1774 | 1630 | 56.09% | 28.11% | 15.80% | +22.0 | 27 |
| 2021-10-03 | @ Midtjylland | L 0-4 | 1630 | 1774 | 15.80% | 28.11% | 56.09% | -22.0 | 12 |
| 2021-10-03 | Brondby | D 1-1 | 1653 | 1673 | 35.68% | 31.85% | 32.47% | -0.2 | 18 |
| 2021-10-03 | @ Randers | D 1-1 | 1673 | 1653 | 32.47% | 31.85% | 35.68% | +0.2 | 12 |
| 2021-10-03 | Nordsjaelland | W 4-1 | 1622 | 1623 | 38.28% | 31.75% | 29.98% | +24.2 | 17 |
| 2021-10-03 | @ Silkeborg | L 1-4 | 1623 | 1622 | 29.98% | 31.75% | 38.28% | -24.2 | 13 |
| 2021-10-03 | Sonderjyske | W 4-0 | 1681 | 1555 | 54.26% | 28.75% | 16.98% | +23.6 | 21 |
| 2021-10-03 | @ Aalborg | L 0-4 | 1555 | 1681 | 16.98% | 28.75% | 54.26% | -23.6 | 8 |
| 2021-10-03 | Viborg | D 1-1 | 1787 | 1585 | 62.02% | 25.60% | 12.38% | -3.5 | 24 |
| 2021-10-03 | @ FC Copenhagen | D 1-1 | 1585 | 1787 | 12.38% | 25.60% | 62.02% | +3.5 | 11 |
| 2021-10-15 | Silkeborg | D 1-1 | 1589 | 1646 | 30.33% | 31.77% | 37.90% | +0.5 | 12 |
| 2021-10-15 | @ Viborg | D 1-1 | 1646 | 1589 | 37.90% | 31.77% | 30.33% | -0.5 | 18 |
| 2021-10-17 | FC Copenhagen | D 1-1 | 1531 | 1783 | 12.94% | 26.09% | 60.97% | +3.3 | 9 |
| 2021-10-17 | @ Sonderjyske | D 1-1 | 1783 | 1531 | 60.97% | 26.09% | 12.94% | -3.3 | 25 |
| 2021-10-17 | Midtjylland | D 2-2 | 1599 | 1796 | 16.37% | 28.44% | 55.20% | +2.0 | 14 |
| 2021-10-17 | @ Nordsjaelland | D 2-2 | 1796 | 1599 | 55.20% | 28.44% | 16.37% | -2.0 | 28 |
| 2021-10-17 | Randers | L 1-2 | 1633 | 1653 | 35.66% | 31.85% | 32.49% | -11.1 | 14 |
| 2021-10-17 | @ Odense | W 2-1 | 1653 | 1633 | 32.49% | 31.85% | 35.66% | +11.1 | 21 |
| 2021-10-17 | Vejle BK | W 3-2 | 1673 | 1455 | 63.56% | 24.85% | 11.59% | +4.0 | 15 |
| 2021-10-17 | @ Brondby | L 2-3 | 1455 | 1673 | 11.59% | 24.85% | 63.56% | -4.0 | 2 |
| 2021-10-18 | Aalborg | W 1-0 | 1608 | 1705 | 25.49% | 31.28% | 43.22% | +13.6 | 15 |
| 2021-10-18 | @ Aarhus GF | L 0-1 | 1705 | 1608 | 43.22% | 31.28% | 25.49% | -13.6 | 21 |
| 2021-10-22 | Nordsjaelland | W 2-0 | 1451 | 1601 | 20.15% | 30.04% | 49.81% | +28.7 | 5 |
| 2021-10-22 | @ Vejle BK | L 0-2 | 1601 | 1451 | 49.81% | 30.04% | 20.15% | -28.7 | 14 |
| 2021-10-24 | Aarhus GF | W 1-0 | 1664 | 1622 | 44.13% | 31.16% | 24.72% | +9.1 | 24 |
| 2021-10-24 | @ Randers | L 0-1 | 1622 | 1664 | 24.72% | 31.16% | 44.13% | -9.1 | 15 |
| 2021-10-24 | FC Copenhagen | W 2-1 | 1677 | 1780 | 24.80% | 31.17% | 44.02% | +13.0 | 18 |
| 2021-10-24 | @ Brondby | L 1-2 | 1780 | 1677 | 44.02% | 31.17% | 24.80% | -13.0 | 25 |
| 2021-10-24 | Odense | D 1-1 | 1646 | 1622 | 41.63% | 31.47% | 26.90% | -0.9 | 19 |
| 2021-10-24 | @ Silkeborg | D 1-1 | 1622 | 1646 | 26.90% | 31.47% | 41.63% | +0.9 | 15 |
| 2021-10-24 | Sonderjyske | W 3-2 | 1794 | 1534 | 67.43% | 22.79% | 9.77% | +3.2 | 31 |
| 2021-10-24 | @ Midtjylland | L 2-3 | 1534 | 1794 | 9.77% | 22.79% | 67.43% | -3.2 | 9 |
| 2021-10-25 | Viborg | L 2-5 | 1691 | 1589 | 51.48% | 29.60% | 18.92% | -31.3 | 21 |
| 2021-10-25 | @ Aalborg | W 5-2 | 1589 | 1691 | 18.92% | 29.60% | 51.48% | +31.3 | 15 |
| 2021-10-31 | Aalborg | L 0-2 | 1572 | 1660 | 26.54% | 31.43% | 42.03% | -18.1 | 14 |
| 2021-10-31 | @ Nordsjaelland | W 2-0 | 1660 | 1572 | 42.03% | 31.43% | 26.54% | +18.1 | 24 |
| 2021-10-31 | Brondby | L 0-1 | 1620 | 1690 | 28.81% | 31.66% | 39.53% | -10.2 | 15 |
| 2021-10-31 | @ Viborg | W 1-0 | 1690 | 1620 | 39.53% | 31.66% | 28.81% | +10.2 | 21 |
| 2021-10-31 | Midtjylland | L 1-3 | 1673 | 1797 | 22.61% | 30.73% | 46.66% | -13.8 | 24 |
| 2021-10-31 | @ Randers | W 3-1 | 1797 | 1673 | 46.66% | 30.73% | 22.61% | +13.8 | 34 |
| 2021-10-31 | Silkeborg | L 0-6 | 1531 | 1645 | 23.63% | 30.95% | 45.42% | -45.9 | 9 |
| 2021-10-31 | @ Sonderjyske | W 6-0 | 1645 | 1531 | 45.42% | 30.95% | 23.63% | +45.9 | 22 |
| 2021-10-31 | Vejle BK | W 3-0 | 1767 | 1480 | 69.83% | 21.42% | 8.75% | +8.7 | 28 |
| 2021-10-31 | @ FC Copenhagen | L 0-3 | 1480 | 1767 | 8.75% | 21.42% | 69.83% | -8.7 | 5 |
| 2021-11-01 | Aarhus GF | D 0-0 | 1623 | 1613 | 39.88% | 31.64% | 28.48% | -0.8 | 16 |
| 2021-11-01 | @ Odense | D 0-0 | 1613 | 1623 | 28.48% | 31.64% | 39.88% | +0.8 | 16 |
| 2021-11-05 | Nordsjaelland | D 2-2 | 1610 | 1554 | 45.87% | 30.88% | 23.26% | -1.1 | 16 |
| 2021-11-05 | @ Viborg | D 2-2 | 1554 | 1610 | 23.26% | 30.88% | 45.87% | +1.1 | 15 |
| 2021-11-07 | FC Copenhagen | D 0-0 | 1691 | 1775 | 26.93% | 31.48% | 41.59% | +1.0 | 23 |
| 2021-11-07 | @ Silkeborg | D 0-0 | 1775 | 1691 | 41.59% | 31.48% | 26.93% | -1.0 | 29 |
| 2021-11-07 | Midtjylland | W 3-0 | 1613 | 1811 | 16.32% | 28.41% | 55.27% | +45.4 | 19 |
| 2021-11-07 | @ Aarhus GF | L 0-3 | 1811 | 1613 | 55.27% | 28.41% | 16.32% | -45.3 | 34 |
| 2021-11-07 | Odense | W 2-1 | 1700 | 1622 | 48.53% | 30.34% | 21.13% | +7.5 | 24 |
| 2021-11-07 | @ Brondby | L 1-2 | 1622 | 1700 | 21.13% | 30.34% | 48.53% | -7.5 | 16 |
| 2021-11-07 | Randers | D 1-1 | 1678 | 1659 | 40.99% | 31.54% | 27.48% | -0.8 | 25 |
| 2021-11-07 | @ Aalborg | D 1-1 | 1659 | 1678 | 27.48% | 31.54% | 40.99% | +0.8 | 25 |
| 2021-11-07 | Sonderjyske | W 3-1 | 1471 | 1485 | 36.48% | 31.83% | 31.69% | +17.8 | 8 |
| 2021-11-07 | @ Vejle BK | L 1-3 | 1485 | 1471 | 31.69% | 31.83% | 36.48% | -17.8 | 9 |
| 2021-11-19 | Viborg | L 2-3 | 1615 | 1609 | 39.22% | 31.69% | 29.09% | -11.3 | 16 |
| 2021-11-19 | @ Odense | W 3-2 | 1609 | 1615 | 29.09% | 31.69% | 39.22% | +11.3 | 19 |
| 2021-11-21 | Aarhus GF | D 1-1 | 1774 | 1659 | 53.02% | 29.15% | 17.83% | -2.4 | 30 |
| 2021-11-21 | @ FC Copenhagen | D 1-1 | 1659 | 1774 | 17.83% | 29.15% | 53.02% | +2.3 | 20 |
| 2021-11-21 | Brondby | L 1-2 | 1765 | 1707 | 46.10% | 30.83% | 23.07% | -13.5 | 34 |
| 2021-11-21 | @ Midtjylland | W 2-1 | 1707 | 1765 | 23.07% | 30.83% | 46.10% | +13.5 | 27 |
| 2021-11-21 | Silkeborg | D 1-1 | 1555 | 1692 | 21.33% | 30.40% | 48.26% | +1.8 | 16 |
| 2021-11-21 | @ Nordsjaelland | D 1-1 | 1692 | 1555 | 48.26% | 30.40% | 21.33% | -1.8 | 24 |
| 2021-11-21 | Vejle BK | W 4-1 | 1660 | 1489 | 58.98% | 26.97% | 14.05% | +12.6 | 28 |
| 2021-11-21 | @ Randers | L 1-4 | 1489 | 1660 | 14.05% | 26.97% | 58.98% | -12.6 | 8 |
| 2021-11-22 | Aalborg | L 1-3 | 1467 | 1677 | 15.46% | 27.91% | 56.63% | -9.8 | 9 |
| 2021-11-22 | @ Sonderjyske | W 3-1 | 1677 | 1467 | 56.63% | 27.91% | 15.46% | +9.8 | 28 |
| 2021-11-26 | Silkeborg | D 1-1 | 1661 | 1690 | 34.30% | 31.86% | 33.83% | -0.0 | 21 |
| 2021-11-26 | @ Aarhus GF | D 1-1 | 1690 | 1661 | 33.83% | 31.86% | 34.30% | +0.0 | 25 |
| 2021-11-28 | FC Copenhagen | L 1-3 | 1687 | 1772 | 26.90% | 31.47% | 41.63% | -15.8 | 28 |
| 2021-11-28 | @ Aalborg | W 3-1 | 1772 | 1687 | 41.63% | 31.47% | 26.90% | +15.8 | 33 |
| 2021-11-28 | Nordsjaelland | W 2-0 | 1604 | 1557 | 44.67% | 31.08% | 24.26% | +16.9 | 19 |
| 2021-11-28 | @ Odense | L 0-2 | 1557 | 1604 | 24.26% | 31.08% | 44.67% | -16.9 | 16 |
| 2021-11-28 | Randers | W 1-0 | 1721 | 1673 | 44.85% | 31.05% | 24.10% | +8.9 | 30 |
| 2021-11-28 | @ Brondby | L 0-1 | 1673 | 1721 | 24.10% | 31.05% | 44.85% | -8.9 | 28 |
| 2021-11-28 | Sonderjyske | D 1-1 | 1620 | 1458 | 58.13% | 27.33% | 14.55% | -3.0 | 20 |
| 2021-11-28 | @ Viborg | D 1-1 | 1458 | 1620 | 14.55% | 27.33% | 58.13% | +3.0 | 10 |
| 2021-11-29 | Midtjylland | D 1-1 | 1477 | 1752 | 11.76% | 25.02% | 63.23% | +3.6 | 9 |
| 2021-11-29 | @ Vejle BK | D 1-1 | 1752 | 1477 | 63.23% | 25.02% | 11.76% | -3.6 | 35 |
| 2022-02-18 | Aarhus GF | L 2-3 | 1461 | 1661 | 16.10% | 28.29% | 55.61% | -5.6 | 10 |
| 2022-02-18 | @ Sonderjyske | W 3-2 | 1661 | 1461 | 55.61% | 28.29% | 16.10% | +5.6 | 24 |
| 2022-02-20 | Aalborg | L 0-2 | 1748 | 1671 | 48.46% | 30.36% | 21.18% | -28.1 | 35 |
| 2022-02-20 | @ Midtjylland | W 2-0 | 1671 | 1748 | 21.18% | 30.36% | 48.46% | +28.1 | 31 |
| 2022-02-20 | Brondby | L 0-2 | 1540 | 1730 | 16.87% | 28.69% | 54.44% | -12.3 | 16 |
| 2022-02-20 | @ Nordsjaelland | W 2-0 | 1730 | 1540 | 54.44% | 28.69% | 16.87% | +12.3 | 33 |
| 2022-02-20 | Odense | W 2-0 | 1788 | 1620 | 58.61% | 27.13% | 14.26% | +10.5 | 36 |
| 2022-02-20 | @ FC Copenhagen | L 0-2 | 1620 | 1788 | 14.26% | 27.13% | 58.61% | -10.5 | 19 |
| 2022-02-20 | Vejle BK | W 3-0 | 1690 | 1480 | 62.85% | 25.20% | 11.95% | +12.6 | 28 |
| 2022-02-20 | @ Silkeborg | L 0-3 | 1480 | 1690 | 11.95% | 25.20% | 62.85% | -12.6 | 9 |
| 2022-02-21 | Viborg | L 0-1 | 1664 | 1617 | 44.65% | 31.08% | 24.27% | -14.0 | 28 |
| 2022-02-21 | @ Randers | W 1-0 | 1617 | 1664 | 24.27% | 31.08% | 44.65% | +14.0 | 23 |
| 2022-02-25 | Aarhus GF | W 3-2 | 1468 | 1667 | 16.20% | 28.35% | 55.45% | +14.9 | 12 |
| 2022-02-25 | @ Vejle BK | L 2-3 | 1667 | 1468 | 55.45% | 28.35% | 16.20% | -14.8 | 24 |
| 2022-02-27 | FC Copenhagen | L 0-2 | 1631 | 1798 | 18.64% | 29.49% | 51.87% | -13.5 | 23 |
| 2022-02-27 | @ Viborg | W 2-0 | 1798 | 1631 | 51.87% | 29.49% | 18.64% | +13.5 | 39 |
| 2022-02-27 | Midtjylland | D 2-2 | 1610 | 1720 | 24.02% | 31.03% | 44.95% | +1.0 | 20 |
| 2022-02-27 | @ Odense | D 2-2 | 1720 | 1610 | 44.95% | 31.03% | 24.02% | -1.0 | 36 |
| 2022-02-27 | Randers | D 0-0 | 1528 | 1650 | 22.76% | 30.76% | 46.48% | +1.7 | 17 |
| 2022-02-27 | @ Nordsjaelland | D 0-0 | 1650 | 1528 | 46.48% | 30.76% | 22.76% | -1.7 | 29 |
| 2022-02-27 | Silkeborg | L 1-4 | 1699 | 1703 | 37.96% | 31.76% | 30.28% | -28.5 | 31 |
| 2022-02-27 | @ Aalborg | W 4-1 | 1703 | 1699 | 30.28% | 31.76% | 37.96% | +28.5 | 31 |
| 2022-02-28 | Sonderjyske | W 1-0 | 1742 | 1455 | 69.88% | 21.39% | 8.73% | +3.2 | 36 |
| 2022-02-28 | @ Brondby | L 0-1 | 1455 | 1742 | 8.73% | 21.39% | 69.88% | -3.2 | 10 |
| 2022-03-04 | Randers | W 3-0 | 1812 | 1648 | 58.21% | 27.29% | 14.50% | +15.5 | 42 |
| 2022-03-04 | @ FC Copenhagen | L 0-3 | 1648 | 1812 | 14.50% | 27.29% | 58.21% | -15.5 | 29 |
| 2022-03-04 | Viborg | W 3-1 | 1719 | 1618 | 51.37% | 29.63% | 18.99% | +11.9 | 39 |
| 2022-03-04 | @ Midtjylland | L 1-3 | 1618 | 1719 | 18.99% | 29.63% | 51.37% | -11.9 | 23 |
| 2022-03-06 | Brondby | L 0-1 | 1731 | 1745 | 36.43% | 31.83% | 31.75% | -12.0 | 31 |
| 2022-03-06 | @ Silkeborg | W 1-0 | 1745 | 1731 | 31.75% | 31.83% | 36.43% | +12.0 | 39 |
| 2022-03-06 | Odense | D 2-2 | 1452 | 1611 | 19.30% | 29.75% | 50.96% | +1.6 | 11 |
| 2022-03-06 | @ Sonderjyske | D 2-2 | 1611 | 1452 | 50.96% | 29.75% | 19.30% | -1.6 | 21 |
| 2022-03-06 | Vejle BK | D 0-0 | 1671 | 1482 | 60.74% | 26.20% | 13.06% | -3.7 | 32 |
| 2022-03-06 | @ Aalborg | D 0-0 | 1482 | 1671 | 13.06% | 26.20% | 60.74% | +3.7 | 13 |
| 2022-03-07 | Nordsjaelland | L 2-3 | 1652 | 1529 | 53.76% | 28.92% | 17.32% | -14.5 | 24 |
| 2022-03-07 | @ Aarhus GF | W 3-2 | 1529 | 1652 | 17.32% | 28.92% | 53.76% | +14.5 | 20 |
| 2022-03-11 | Sonderjyske | D 1-1 | 1544 | 1453 | 50.10% | 29.97% | 19.93% | -2.0 | 21 |
| 2022-03-11 | @ Nordsjaelland | D 1-1 | 1453 | 1544 | 19.93% | 29.97% | 50.10% | +2.0 | 12 |
| 2022-03-13 | Aarhus GF | D 1-1 | 1757 | 1637 | 53.51% | 29.00% | 17.49% | -2.4 | 40 |
| 2022-03-13 | @ Brondby | D 1-1 | 1637 | 1757 | 17.49% | 29.00% | 53.51% | +2.4 | 25 |
| 2022-03-13 | FC Copenhagen | L 0-1 | 1731 | 1827 | 25.57% | 31.29% | 43.13% | -9.3 | 39 |
| 2022-03-13 | @ Midtjylland | W 1-0 | 1827 | 1731 | 43.13% | 31.29% | 25.57% | +9.3 | 45 |
| 2022-03-13 | Silkeborg | W 2-1 | 1633 | 1719 | 26.72% | 31.45% | 41.82% | +12.5 | 32 |
| 2022-03-13 | @ Randers | L 1-2 | 1719 | 1633 | 41.82% | 31.45% | 26.72% | -12.5 | 31 |
| 2022-03-13 | Vejle BK | W 2-0 | 1606 | 1486 | 53.47% | 29.01% | 17.52% | +12.8 | 26 |
| 2022-03-13 | @ Viborg | L 0-2 | 1486 | 1606 | 17.52% | 29.01% | 53.47% | -12.8 | 13 |
| 2022-03-14 | Aalborg | L 2-3 | 1609 | 1667 | 30.32% | 31.77% | 37.91% | -9.4 | 21 |
| 2022-03-14 | @ Odense | W 3-2 | 1667 | 1609 | 37.91% | 31.77% | 30.32% | +9.4 | 35 |
| 2022-03-20 | Brondby | W 3-0 | 1677 | 1755 | 27.70% | 31.56% | 40.74% | +35.6 | 38 |
| 2022-03-20 | @ Aalborg | L 0-3 | 1755 | 1677 | 40.74% | 31.56% | 27.70% | -35.6 | 40 |
| 2022-03-20 | Midtjylland | L 0-1 | 1707 | 1722 | 36.29% | 31.83% | 31.87% | -12.0 | 31 |
| 2022-03-20 | @ Silkeborg | W 1-0 | 1722 | 1707 | 31.87% | 31.83% | 36.29% | +12.0 | 42 |
| 2022-03-20 | Nordsjaelland | W 1-0 | 1837 | 1542 | 70.52% | 21.01% | 8.47% | +3.1 | 48 |
| 2022-03-20 | @ FC Copenhagen | L 0-1 | 1542 | 1837 | 8.47% | 21.01% | 70.52% | -3.1 | 21 |
| 2022-03-20 | Odense | W 2-0 | 1473 | 1600 | 22.32% | 30.66% | 47.02% | +27.4 | 16 |
| 2022-03-20 | @ Vejle BK | L 0-2 | 1600 | 1473 | 47.02% | 30.66% | 22.32% | -27.4 | 21 |
| 2022-03-20 | Randers | D 1-1 | 1455 | 1645 | 16.85% | 28.69% | 54.46% | +2.5 | 13 |
| 2022-03-20 | @ Sonderjyske | D 1-1 | 1645 | 1455 | 54.46% | 28.69% | 16.85% | -2.5 | 33 |
| 2022-03-20 | Viborg | D 1-1 | 1640 | 1619 | 41.29% | 31.51% | 27.20% | -0.9 | 26 |
| 2022-03-20 | @ Aarhus GF | D 1-1 | 1619 | 1640 | 27.20% | 31.51% | 41.29% | +0.9 | 27 |
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 |
|---|---|---|---|---|---|---|---|---|---|
| 2022-04-01 | Sonderjyske | W 2-1 | 1620 | 1458 | 58.01% | 27.37% | 14.62% | +5.4 | 3 |
| 2022-04-01 | @ Viborg | L 1-2 | 1458 | 1620 | 14.62% | 27.37% | 58.01% | -5.4 | 0 |
| 2022-04-03 | FC Copenhagen | L 0-1 | 1712 | 1840 | 22.24% | 30.64% | 47.12% | -8.3 | 0 |
| 2022-04-03 | @ Aalborg | W 1-0 | 1840 | 1712 | 47.12% | 30.64% | 22.24% | +8.3 | 3 |
| 2022-04-03 | Nordsjaelland | W 2-1 | 1573 | 1539 | 42.98% | 31.31% | 25.71% | +8.8 | 3 |
| 2022-04-03 | @ Odense | L 1-2 | 1539 | 1573 | 25.71% | 31.31% | 42.98% | -8.8 | 0 |
| 2022-04-03 | Randers | L 0-1 | 1719 | 1643 | 48.41% | 30.37% | 21.22% | -14.9 | 0 |
| 2022-04-03 | @ Brondby | W 1-0 | 1643 | 1719 | 21.22% | 30.37% | 48.41% | +14.9 | 3 |
| 2022-04-03 | Vejle BK | D 0-0 | 1639 | 1501 | 55.50% | 28.33% | 16.18% | -3.0 | 1 |
| 2022-04-03 | @ Aarhus GF | D 0-0 | 1501 | 1639 | 16.18% | 28.33% | 55.50% | +3.0 | 1 |
| 2022-04-04 | Silkeborg | W 3-2 | 1734 | 1695 | 43.68% | 31.22% | 25.10% | +8.2 | 3 |
| 2022-04-04 | @ Midtjylland | L 2-3 | 1695 | 1734 | 25.10% | 31.22% | 43.68% | -8.2 | 0 |
| 2022-04-08 | Randers | W 3-0 | 1704 | 1658 | 44.61% | 31.08% | 24.30% | +24.5 | 3 |
| 2022-04-08 | @ Aalborg | L 0-3 | 1658 | 1704 | 24.30% | 31.08% | 44.61% | -24.5 | 3 |
| 2022-04-10 | Aarhus GF | D 2-2 | 1530 | 1636 | 24.50% | 31.12% | 44.38% | +0.9 | 1 |
| 2022-04-10 | @ Nordsjaelland | D 2-2 | 1636 | 1530 | 44.38% | 31.12% | 24.50% | -0.9 | 2 |
| 2022-04-10 | Brondby | W 3-0 | 1686 | 1704 | 35.89% | 31.84% | 32.26% | +30.2 | 3 |
| 2022-04-10 | @ Silkeborg | L 0-3 | 1704 | 1686 | 32.26% | 31.84% | 35.89% | -30.2 | 0 |
| 2022-04-10 | Midtjylland | W 1-0 | 1848 | 1742 | 51.92% | 29.48% | 18.60% | +7.2 | 6 |
| 2022-04-10 | @ FC Copenhagen | L 0-1 | 1742 | 1848 | 18.60% | 29.48% | 51.92% | -7.2 | 3 |
| 2022-04-10 | Odense | D 2-2 | 1452 | 1581 | 22.09% | 30.60% | 47.30% | +1.2 | 1 |
| 2022-04-10 | @ Sonderjyske | D 2-2 | 1581 | 1452 | 47.30% | 30.60% | 22.09% | -1.2 | 4 |
| 2022-04-11 | Viborg | D 2-2 | 1504 | 1625 | 22.87% | 30.79% | 46.34% | +1.1 | 2 |
| 2022-04-11 | @ Vejle BK | D 2-2 | 1625 | 1504 | 46.34% | 30.79% | 22.87% | -1.1 | 4 |
| 2022-04-13 | Midtjylland | L 1-3 | 1633 | 1735 | 24.96% | 31.20% | 43.84% | -14.9 | 3 |
| 2022-04-13 | @ Randers | W 3-1 | 1735 | 1633 | 43.84% | 31.20% | 24.96% | +14.9 | 6 |
| 2022-04-14 | Aalborg | L 0-1 | 1674 | 1728 | 30.79% | 31.79% | 37.42% | -10.7 | 0 |
| 2022-04-14 | @ Brondby | W 1-0 | 1728 | 1674 | 37.42% | 31.79% | 30.79% | +10.7 | 6 |
| 2022-04-14 | FC Copenhagen | W 3-1 | 1717 | 1855 | 21.16% | 30.35% | 48.48% | +24.3 | 6 |
| 2022-04-14 | @ Silkeborg | L 1-3 | 1855 | 1717 | 48.48% | 30.35% | 21.16% | -24.3 | 6 |
| 2022-04-14 | Vejle BK | W 2-1 | 1580 | 1505 | 48.26% | 30.40% | 21.34% | +7.6 | 7 |
| 2022-04-14 | @ Odense | L 1-2 | 1505 | 1580 | 21.34% | 30.40% | 48.26% | -7.6 | 2 |
| 2022-04-14 | Viborg | L 0-2 | 1635 | 1624 | 39.95% | 31.63% | 28.42% | -24.2 | 2 |
| 2022-04-14 | @ Aarhus GF | W 2-0 | 1624 | 1635 | 28.42% | 31.63% | 39.95% | +24.2 | 7 |
| 2022-04-15 | Sonderjyske | W 2-0 | 1531 | 1454 | 48.50% | 30.35% | 21.15% | +15.1 | 4 |
| 2022-04-15 | @ Nordsjaelland | L 0-2 | 1454 | 1531 | 21.15% | 30.35% | 48.50% | -15.1 | 1 |
| 2022-04-17 | Odense | D 1-1 | 1648 | 1588 | 46.39% | 30.78% | 22.83% | -1.5 | 8 |
| 2022-04-17 | @ Viborg | D 1-1 | 1588 | 1648 | 22.83% | 30.78% | 46.39% | +1.5 | 8 |
| 2022-04-18 | Aalborg | W 2-0 | 1750 | 1739 | 39.87% | 31.64% | 28.49% | +19.0 | 9 |
| 2022-04-18 | @ Midtjylland | L 0-2 | 1739 | 1750 | 28.49% | 31.64% | 39.87% | -19.0 | 6 |
| 2022-04-18 | Aarhus GF | W 2-1 | 1439 | 1611 | 18.22% | 29.32% | 52.45% | +15.0 | 4 |
| 2022-04-18 | @ Sonderjyske | L 1-2 | 1611 | 1439 | 52.45% | 29.32% | 18.22% | -15.0 | 2 |
| 2022-04-18 | Brondby | W 2-0 | 1831 | 1664 | 58.60% | 27.13% | 14.27% | +10.5 | 9 |
| 2022-04-18 | @ FC Copenhagen | L 0-2 | 1664 | 1831 | 14.27% | 27.13% | 58.60% | -10.5 | 0 |
| 2022-04-18 | Nordsjaelland | D 0-0 | 1497 | 1546 | 31.53% | 31.82% | 36.65% | +0.3 | 3 |
| 2022-04-18 | @ Vejle BK | D 0-0 | 1546 | 1497 | 36.65% | 31.82% | 31.53% | -0.3 | 5 |
| 2022-04-19 | Silkeborg | L 1-2 | 1618 | 1741 | 22.70% | 30.75% | 46.55% | -8.0 | 3 |
| 2022-04-19 | @ Randers | W 2-1 | 1741 | 1618 | 46.55% | 30.75% | 22.70% | +8.0 | 9 |
| 2022-04-22 | Vejle BK | L 0-1 | 1454 | 1498 | 32.18% | 31.84% | 35.98% | -11.0 | 4 |
| 2022-04-22 | @ Sonderjyske | W 1-0 | 1498 | 1454 | 35.98% | 31.84% | 32.18% | +11.0 | 6 |
| 2022-04-24 | Odense | L 1-2 | 1596 | 1589 | 39.31% | 31.68% | 29.01% | -11.9 | 2 |
| 2022-04-24 | @ Aarhus GF | W 2-1 | 1589 | 1596 | 29.01% | 31.68% | 39.31% | +12.0 | 11 |
| 2022-04-24 | Randers | L 0-1 | 1841 | 1610 | 64.86% | 24.18% | 10.96% | -18.8 | 9 |
| 2022-04-24 | @ FC Copenhagen | W 1-0 | 1610 | 1841 | 10.96% | 24.18% | 64.86% | +18.8 | 6 |
| 2022-04-24 | Silkeborg | L 1-2 | 1720 | 1749 | 34.32% | 31.86% | 33.82% | -10.8 | 6 |
| 2022-04-24 | @ Aalborg | W 2-1 | 1749 | 1720 | 33.82% | 31.86% | 34.32% | +10.8 | 12 |
| 2022-04-24 | Viborg | W 2-0 | 1546 | 1646 | 25.06% | 31.22% | 43.72% | +25.9 | 8 |
| 2022-04-24 | @ Nordsjaelland | L 0-2 | 1646 | 1546 | 43.72% | 31.22% | 25.06% | -25.9 | 8 |
| 2022-04-25 | Midtjylland | L 1-3 | 1653 | 1769 | 23.44% | 30.91% | 45.65% | -14.2 | 0 |
| 2022-04-25 | @ Brondby | W 3-1 | 1769 | 1653 | 45.65% | 30.91% | 23.44% | +14.2 | 12 |
| 2022-04-29 | Nordsjaelland | D 1-1 | 1621 | 1572 | 44.96% | 31.03% | 24.01% | -1.3 | 9 |
| 2022-04-29 | @ Viborg | D 1-1 | 1572 | 1621 | 24.01% | 31.03% | 44.96% | +1.3 | 9 |
| 2022-05-01 | Aarhus GF | W 1-0 | 1601 | 1584 | 40.80% | 31.56% | 27.64% | +9.9 | 14 |
| 2022-05-01 | @ Odense | L 0-1 | 1584 | 1601 | 27.64% | 31.56% | 40.80% | -9.9 | 2 |
| 2022-05-01 | Brondby | W 2-1 | 1629 | 1639 | 37.03% | 31.81% | 31.17% | +10.1 | 9 |
| 2022-05-01 | @ Randers | L 1-2 | 1639 | 1629 | 31.17% | 31.81% | 37.03% | -10.1 | 0 |
| 2022-05-01 | FC Copenhagen | D 0-0 | 1783 | 1823 | 32.80% | 31.85% | 35.35% | +0.2 | 13 |
| 2022-05-01 | @ Midtjylland | D 0-0 | 1823 | 1783 | 35.35% | 31.85% | 32.80% | -0.2 | 10 |
| 2022-05-01 | Sonderjyske | L 0-3 | 1509 | 1443 | 47.12% | 30.64% | 22.24% | -39.9 | 6 |
| 2022-05-01 | @ Vejle BK | W 3-0 | 1443 | 1509 | 22.24% | 30.64% | 47.12% | +39.9 | 7 |
| 2022-05-02 | Aalborg | W 4-2 | 1760 | 1709 | 45.18% | 30.99% | 23.83% | +12.9 | 15 |
| 2022-05-02 | @ Silkeborg | L 2-4 | 1709 | 1760 | 23.83% | 30.99% | 45.18% | -12.9 | 6 |
| 2022-05-06 | Randers | W 1-0 | 1773 | 1639 | 55.02% | 28.50% | 16.49% | +6.4 | 18 |
| 2022-05-06 | @ Silkeborg | L 0-1 | 1639 | 1773 | 16.49% | 28.50% | 55.02% | -6.4 | 9 |
| 2022-05-08 | FC Copenhagen | D 1-1 | 1629 | 1822 | 16.58% | 28.55% | 54.87% | +2.6 | 1 |
| 2022-05-08 | @ Brondby | D 1-1 | 1822 | 1629 | 54.87% | 28.55% | 16.58% | -2.6 | 11 |
| 2022-05-08 | Midtjylland | L 1-2 | 1696 | 1783 | 26.67% | 31.45% | 41.88% | -9.1 | 6 |
| 2022-05-08 | @ Aalborg | W 2-1 | 1783 | 1696 | 41.88% | 31.45% | 26.67% | +9.1 | 16 |
| 2022-05-08 | Odense | D 1-1 | 1573 | 1611 | 33.00% | 31.86% | 35.14% | +0.1 | 10 |
| 2022-05-08 | @ Nordsjaelland | D 1-1 | 1611 | 1573 | 35.14% | 31.86% | 33.00% | -0.1 | 15 |
| 2022-05-08 | Sonderjyske | D 1-1 | 1574 | 1482 | 50.21% | 29.94% | 19.85% | -2.0 | 3 |
| 2022-05-08 | @ Aarhus GF | D 1-1 | 1482 | 1574 | 19.85% | 29.94% | 50.21% | +2.0 | 8 |
| 2022-05-09 | Vejle BK | D 2-2 | 1619 | 1469 | 56.83% | 27.84% | 15.33% | -2.1 | 10 |
| 2022-05-09 | @ Viborg | D 2-2 | 1469 | 1619 | 15.33% | 27.84% | 56.83% | +2.1 | 7 |
| 2022-05-11 | Aalborg | D 2-2 | 1633 | 1687 | 30.75% | 31.79% | 37.47% | +0.3 | 10 |
| 2022-05-11 | @ Randers | D 2-2 | 1687 | 1633 | 37.47% | 31.79% | 30.75% | -0.3 | 7 |
| 2022-05-11 | Nordsjaelland | D 1-1 | 1484 | 1573 | 26.46% | 31.42% | 42.12% | +1.0 | 9 |
| 2022-05-11 | @ Sonderjyske | D 1-1 | 1573 | 1484 | 42.12% | 31.42% | 26.46% | -1.0 | 11 |
| 2022-05-11 | Silkeborg | W 2-1 | 1820 | 1779 | 43.89% | 31.19% | 24.92% | +8.6 | 14 |
| 2022-05-11 | @ FC Copenhagen | L 1-2 | 1779 | 1820 | 24.92% | 31.19% | 43.89% | -8.6 | 18 |
| 2022-05-12 | Aarhus GF | W 1-0 | 1471 | 1572 | 25.02% | 31.21% | 43.77% | +13.7 | 10 |
| 2022-05-12 | @ Vejle BK | L 0-1 | 1572 | 1471 | 43.77% | 31.21% | 25.02% | -13.7 | 3 |
| 2022-05-12 | Brondby | D 2-2 | 1792 | 1631 | 57.93% | 27.40% | 14.66% | -2.2 | 17 |
| 2022-05-12 | @ Midtjylland | D 2-2 | 1631 | 1792 | 14.66% | 27.40% | 57.93% | +2.2 | 2 |
| 2022-05-12 | Viborg | D 1-1 | 1611 | 1617 | 37.55% | 31.78% | 30.66% | -0.4 | 16 |
| 2022-05-12 | @ Odense | D 1-1 | 1617 | 1611 | 30.66% | 31.78% | 37.55% | +0.4 | 11 |
| 2022-05-15 | Aarhus GF | W 1-0 | 1618 | 1558 | 46.28% | 30.80% | 22.92% | +8.5 | 14 |
| 2022-05-15 | @ Viborg | L 0-1 | 1558 | 1618 | 22.92% | 30.80% | 46.28% | -8.5 | 3 |
| 2022-05-15 | Brondby | L 1-3 | 1687 | 1633 | 45.54% | 30.93% | 23.53% | -23.1 | 7 |
| 2022-05-15 | @ Aalborg | W 3-1 | 1633 | 1687 | 23.53% | 30.93% | 45.54% | +23.1 | 5 |
| 2022-05-15 | FC Copenhagen | L 0-2 | 1633 | 1828 | 16.46% | 28.48% | 55.06% | -12.0 | 10 |
| 2022-05-15 | @ Randers | W 2-0 | 1828 | 1633 | 55.06% | 28.48% | 16.46% | +12.1 | 17 |
| 2022-05-15 | Sonderjyske | D 1-1 | 1611 | 1485 | 54.07% | 28.82% | 17.11% | -2.5 | 17 |
| 2022-05-15 | @ Odense | D 1-1 | 1485 | 1611 | 17.11% | 28.82% | 54.07% | +2.5 | 10 |
| 2022-05-15 | Vejle BK | W 2-1 | 1572 | 1485 | 49.74% | 30.06% | 20.20% | +7.3 | 14 |
| 2022-05-15 | @ Nordsjaelland | L 1-2 | 1485 | 1572 | 20.20% | 30.06% | 49.74% | -7.3 | 10 |
| 2022-05-16 | Midtjylland | L 1-4 | 1771 | 1790 | 35.68% | 31.85% | 32.48% | -27.3 | 18 |
| 2022-05-16 | @ Silkeborg | W 4-1 | 1790 | 1771 | 32.48% | 31.85% | 35.68% | +27.3 | 20 |
| 2022-05-21 | Nordsjaelland | D 2-2 | 1550 | 1579 | 34.21% | 31.86% | 33.93% | -0.0 | 4 |
| 2022-05-21 | @ Aarhus GF | D 2-2 | 1579 | 1550 | 33.93% | 31.86% | 34.21% | +0.0 | 15 |
| 2022-05-21 | Odense | W 2-1 | 1477 | 1608 | 21.91% | 30.56% | 47.53% | +13.8 | 13 |
| 2022-05-21 | @ Vejle BK | L 1-2 | 1608 | 1477 | 47.53% | 30.56% | 21.91% | -13.8 | 17 |
| 2022-05-21 | Viborg | L 0-2 | 1488 | 1626 | 21.19% | 30.36% | 48.45% | -15.1 | 10 |
| 2022-05-21 | @ Sonderjyske | W 2-0 | 1626 | 1488 | 48.45% | 30.36% | 21.19% | +15.1 | 17 |
| 2022-05-22 | Aalborg | W 3-0 | 1840 | 1664 | 59.55% | 26.73% | 13.72% | +14.6 | 20 |
| 2022-05-22 | @ FC Copenhagen | L 0-3 | 1664 | 1840 | 13.72% | 26.73% | 59.55% | -14.6 | 7 |
| 2022-05-22 | Randers | W 3-2 | 1817 | 1621 | 61.52% | 25.84% | 12.64% | +4.4 | 23 |
| 2022-05-22 | @ Midtjylland | L 2-3 | 1621 | 1817 | 12.64% | 25.84% | 61.52% | -4.4 | 10 |
| 2022-05-22 | Silkeborg | W 2-1 | 1657 | 1743 | 26.70% | 31.45% | 41.86% | +12.5 | 8 |
| 2022-05-22 | @ Brondby | L 1-2 | 1743 | 1657 | 41.86% | 31.45% | 26.70% | -12.5 | 18 |
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 record.
| Date | Opponent | Score | Pre Elo | Opp Elo | Win % | Tie % | Loss % | Elo Δ | Record |
|---|---|---|---|---|---|---|---|---|---|
| 2022-05-29 | Viborg | L 1-3 | 1649 | 1641 | 39.52% | 31.66% | 28.81% | -20.8 | 0-1 |
| 2022-05-29 | @ Aalborg | W 3-1 | 1641 | 1649 | 28.81% | 31.66% | 39.52% | +20.8 | 1-0 |
Biggest Upsets
The 25 games where the underdog won despite the lowest pregame win probability. Underdog Win % is the winner's pregame chance of winning the game (lower = bigger upset). @ before a team name indicates the away side. An asterisk (*) after the date marks a playoff game.
| # | Date | Underdog Win % | Winning Team | Losing Team | ||||
|---|---|---|---|---|---|---|---|---|
| Team | Elo | Score | Team | Elo | Score | |||
| 1 | 2022-04-24 | 10.96% | Randers | 1610 | 1 | @ FC Copenhagen | 1841 | 0 |
| 2 | 2022-02-25 | 16.20% | @ Vejle BK | 1468 | 3 | Aarhus GF | 1667 | 2 |
| 3 | 2021-11-07 | 16.32% | @ Aarhus GF | 1613 | 3 | Midtjylland | 1811 | 0 |
| 4 | 2022-03-07 | 17.32% | Nordsjaelland | 1529 | 3 | @ Aarhus GF | 1652 | 2 |
| 5 | 2022-04-18 | 18.22% | @ Sonderjyske | 1439 | 2 | Aarhus GF | 1611 | 1 |
| 6 | 2021-10-25 | 18.92% | Viborg | 1589 | 5 | @ Aalborg | 1691 | 2 |
| 7 | 2021-10-22 | 20.15% | @ Vejle BK | 1451 | 2 | Nordsjaelland | 1601 | 0 |
| 8 | 2022-04-14 | 21.16% | @ Silkeborg | 1717 | 3 | FC Copenhagen | 1855 | 1 |
| 9 | 2022-02-20 | 21.18% | Aalborg | 1671 | 2 | @ Midtjylland | 1748 | 0 |
| 10 | 2022-04-03 | 21.22% | Randers | 1643 | 1 | @ Brondby | 1719 | 0 |
| 11 | 2021-07-16 | 21.32% | Odense | 1624 | 2 | @ Midtjylland | 1699 | 1 |
| 12 | 2022-05-21 | 21.91% | @ Vejle BK | 1477 | 2 | Odense | 1608 | 1 |
| 13 | 2021-09-19 | 22.20% | @ Sonderjyske | 1549 | 1 | Brondby | 1676 | 0 |
| 14 | 2022-05-01 | 22.24% | Sonderjyske | 1443 | 3 | @ Vejle BK | 1509 | 0 |
| 15 | 2022-03-20 | 22.32% | @ Vejle BK | 1473 | 2 | Odense | 1600 | 0 |
| 16 | 2021-11-21 | 23.07% | Brondby | 1707 | 2 | @ Midtjylland | 1765 | 1 |
| 17 | 2022-05-15 | 23.53% | Brondby | 1633 | 3 | @ Aalborg | 1687 | 1 |
| 18 | 2021-08-29 | 23.72% | @ Brondby | 1651 | 2 | Midtjylland | 1764 | 0 |
| 19 | 2022-02-21 | 24.27% | Viborg | 1617 | 1 | @ Randers | 1664 | 0 |
| 20 | 2021-10-24 | 24.80% | @ Brondby | 1677 | 2 | FC Copenhagen | 1780 | 1 |
| 21 | 2022-05-12 | 25.02% | @ Vejle BK | 1471 | 1 | Aarhus GF | 1572 | 0 |
| 22 | 2022-04-24 | 25.06% | @ Nordsjaelland | 1546 | 2 | Viborg | 1646 | 0 |
| 23 | 2021-09-20 | 25.10% | Aarhus GF | 1596 | 2 | @ Silkeborg | 1635 | 0 |
| 24 | 2021-10-18 | 25.49% | @ Aarhus GF | 1608 | 1 | Aalborg | 1705 | 0 |
| 25 | 2021-07-18 | 26.60% | Viborg | 1611 | 2 | @ Nordsjaelland | 1637 | 1 |
Biggest Elo Changes
The 25 games that resulted in the largest shift in Elo rating.
| # | Date | Elo Δ | Winning Team | Losing Team | Tie % | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Team | Score | Elo | Win % | Team | Score | Elo | Win % | ||||
| 1 | 2021-10-31 | 45.89 | Silkeborg | 6 | 1645 | 45.42% | @ Sonderjyske | 0 | 1531 | 23.63% | 30.95% |
| 2 | 2021-11-07 | 45.35 | @ Aarhus GF | 3 | 1613 | 16.32% | Midtjylland | 0 | 1811 | 55.27% | 28.41% |
| 3 | 2022-05-01 | 39.87 | Sonderjyske | 3 | 1443 | 22.24% | @ Vejle BK | 0 | 1509 | 47.12% | 30.64% |
| 4 | 2021-10-01 | 38.16 | @ Odense | 6 | 1595 | 51.42% | Vejle BK | 0 | 1494 | 18.96% | 29.62% |
| 5 | 2022-03-20 | 35.63 | @ Aalborg | 3 | 1677 | 27.70% | Brondby | 0 | 1755 | 40.74% | 31.56% |
| 6 | 2021-10-25 | 31.27 | Viborg | 5 | 1589 | 18.92% | @ Aalborg | 2 | 1691 | 51.48% | 29.60% |
| 7 | 2022-04-10 | 30.21 | @ Silkeborg | 3 | 1686 | 35.89% | Brondby | 0 | 1704 | 32.26% | 31.84% |
| 8 | 2021-10-22 | 28.70 | @ Vejle BK | 2 | 1451 | 20.15% | Nordsjaelland | 0 | 1601 | 49.81% | 30.04% |
| 9 | 2022-02-27 | 28.53 | Silkeborg | 4 | 1703 | 30.28% | @ Aalborg | 1 | 1699 | 37.96% | 31.76% |
| 10 | 2022-02-20 | 28.08 | Aalborg | 2 | 1671 | 21.18% | @ Midtjylland | 0 | 1748 | 48.46% | 30.36% |
| 11 | 2022-03-20 | 27.41 | @ Vejle BK | 2 | 1473 | 22.32% | Odense | 0 | 1600 | 47.02% | 30.66% |
| 12 | 2022-05-16 | 27.31 | Midtjylland | 4 | 1790 | 32.48% | @ Silkeborg | 1 | 1771 | 35.68% | 31.85% |
| 13 | 2021-08-29 | 26.62 | @ Brondby | 2 | 1651 | 23.72% | Midtjylland | 0 | 1764 | 45.30% | 30.97% |
| 14 | 2021-09-26 | 26.43 | FC Copenhagen | 5 | 1760 | 45.00% | @ Nordsjaelland | 1 | 1650 | 23.98% | 31.02% |
| 15 | 2022-04-24 | 25.89 | @ Nordsjaelland | 2 | 1546 | 25.06% | Viborg | 0 | 1646 | 43.72% | 31.22% |
| 16 | 2021-09-20 | 25.87 | Aarhus GF | 2 | 1596 | 25.10% | @ Silkeborg | 0 | 1635 | 43.68% | 31.22% |
| 17 | 2022-04-08 | 24.53 | @ Aalborg | 3 | 1704 | 44.61% | Randers | 0 | 1658 | 24.30% | 31.08% |
| 18 | 2022-04-14 | 24.32 | @ Silkeborg | 3 | 1717 | 21.16% | FC Copenhagen | 1 | 1855 | 48.48% | 30.35% |
| 19 | 2021-10-03 | 24.19 | @ Silkeborg | 4 | 1622 | 38.28% | Nordsjaelland | 1 | 1623 | 29.98% | 31.75% |
| 20 | 2022-04-14 | 24.18 | Viborg | 2 | 1624 | 28.42% | @ Aarhus GF | 0 | 1635 | 39.95% | 31.63% |
| 21 | 2021-10-03 | 23.58 | @ Aalborg | 4 | 1681 | 54.26% | Sonderjyske | 0 | 1555 | 16.98% | 28.75% |
| 22 | 2022-05-15 | 23.14 | Brondby | 3 | 1633 | 23.53% | @ Aalborg | 1 | 1687 | 45.54% | 30.93% |
| 23 | 2021-08-06 | 23.14 | @ Silkeborg | 4 | 1619 | 40.20% | Viborg | 1 | 1606 | 28.19% | 31.61% |
| 24 | 2021-08-29 | 22.91 | FC Copenhagen | 4 | 1732 | 55.02% | @ Vejle BK | 0 | 1537 | 16.48% | 28.50% |
| 25 | 2021-08-02 | 22.85 | Nordsjaelland | 2 | 1624 | 31.26% | @ Sonderjyske | 0 | 1614 | 36.93% | 31.81% |