Home / Leagues / Denmark / 1st Division / 2021-22
‹ ›

2021-22 1st Division Season

192 games

Final

Promoted

Horsens

64 pts

Lyngby · 63 pts

Relegated

Jammerbugt

26 pts

Esbjerg · 28 pts

Biggest Overachiever

Horsens

29.57 points above expected

64 points · 34.43 expected points

Biggest Disappointment

Esbjerg

1.16 points above expected

28 points · 26.84 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 Helsingor 22 15 6 1 51 52 20 +32 37.06 +13.94
2 Lyngby 22 12 7 3 43 45 21 +24 40.16 +2.84
3 Hvidovre 22 13 4 5 43 37 22 +15 35.46 +7.54
4 Horsens 22 12 4 6 40 37 21 +16 34.43 +5.57
5 Fredericia 22 11 4 7 37 38 36 +2 33.73 +3.27
6 Nykobing 22 7 4 11 25 35 37 -2 28.18 -3.18
7 HB Koge 22 6 7 9 25 28 32 -4 26.41 -1.41
8 Vendsyssel 22 5 9 8 24 25 31 -6 25.27 -1.27
9 Hobro 22 5 7 10 22 31 38 -7 24.63 -2.63
10 Esbjerg 22 5 5 12 20 24 38 -14 26.84 -6.84
11 Fremad Amager 22 5 3 14 18 24 48 -24 23.06 -5.06
12 Jammerbugt 22 4 4 14 16 19 51 -32 20.40 -4.40
# Team GP W D L Pts GF GA GD SimPts vsSim
1 Horsens Promoted 32 19 7 6 64 55 29 +26 — —
2 Lyngby Promoted 32 18 9 5 63 62 29 +33 — —
3 Hvidovre 32 17 6 9 57 49 31 +18 — —
4 Helsingor 32 16 7 9 55 65 44 +21 — —
5 Fredericia 32 15 5 12 50 55 53 +2 — —
6 Nykobing 32 10 5 17 35 50 63 -13 — —
# Team GP W D L Pts GF GA GD SimPts vsSim
1 HB Koge 32 10 12 10 42 45 41 +4 — —
2 Hobro 32 9 12 11 39 47 50 -3 — —
3 Vendsyssel 32 8 12 12 36 39 44 -5 — —
4 Fremad Amager 32 9 6 17 33 39 62 -23 — —
5 Esbjerg Relegated 32 6 10 16 28 36 54 -18 — —
6 Jammerbugt Relegated 32 7 5 20 26 32 74 -42 — —

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 Horsens 64 34.43 +29.57
2 Lyngby 63 40.16 +22.84
3 Hvidovre 57 35.46 +21.54
4 Helsingor 55 37.06 +17.94
5 Fredericia 50 33.73 +16.27

Biggest Disappointments

# Team Actual Sim vsSim
1 Esbjerg 28 26.84 +1.16
2 Jammerbugt 26 20.40 +5.60
3 Nykobing 35 28.18 +6.82
4 Fremad Amager 33 23.06 +9.94
5 Vendsyssel 36 25.27 +10.73

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 consecutive wins or ties; Winless counts consecutive losses or ties.

Most Unlikely Winning Streaks

# Team Games Dates Probability
1 Lyngby 5 Jul 25 – Aug 18 1 in 49
2 Horsens 5 Nov 7 – Feb 27 1 in 47
3 Hobro 3 Feb 26 – Mar 11 1 in 40
4 Hvidovre 4 Oct 16 – Nov 6 1 in 25
5 Helsingor 5 Dec 3 – Mar 18 1 in 23

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Helsingor 5 Apr 3 – Apr 30 1 in 1,695
2 Fremad Amager 5 Jul 23 – Aug 18 1 in 100
3 Fredericia 3 Sep 17 – Oct 1 1 in 40
4 Hobro 3 Oct 22 – Nov 6 1 in 37
5 Hvidovre 3 Apr 29 – May 12 1 in 29

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Hobro 12 Feb 26 – May 19 1 in 47
2 Horsens 12 Mar 13 – May 29 1 in 42
3 Fremad Amager 6 Apr 15 – May 18 1 in 33
4 Helsingor 11 Oct 14 – Mar 18 1 in 14
5 Fredericia 8 Jul 23 – Sep 12 1 in 12

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Esbjerg 13 Dec 2 – May 18 1 in 103
2 Hobro 10 Jul 23 – Sep 24 1 in 26
3 Helsingor 5 Apr 3 – Apr 30 1 in 24
4 Vendsyssel 9 Jul 27 – Sep 25 1 in 21
5 HB Koge 8 Aug 1 – Sep 17 1 in 17

Position Race

Each team’s league position across the whole season. Colored teams are the season’s headline finishers — champion, promoted, and relegated; everyone else is gray as context.

Recent Form

Each team’s last 5 games, hottest first. Form shows the results (navy win, gray draw, red loss, newest on the right); the bars show Elo change over the window, points taken, points expected from the odds, and actual minus expected. Beside each team: current Elo and season points.

Team Elo Season Pts Form Elo Δ (5) Points (5) Expected (5) Actual − Exp
Horsens 1644 64 +44 11 8.6 +2.4
Lyngby 1636 63 +8 10 8.8 +1.2
Hvidovre 1554 57 +18 7 6.5 +0.5
Helsingor 1508 55 -36 4 7.1 -3.1
Fredericia 1464 50 -42 3 5.9 -2.9
HB Koge 1451 42 -2 8 8.9 -0.9
Hobro 1443 39 +2 8 8.8 -0.8
Vendsyssel 1381 36 +30 8 6.5 +1.5
Nykobing 1379 35 +8 7 3.7 +3.3
Fremad Amager 1328 33 -17 7 6.6 +0.4
Esbjerg 1332 28 -3 5 6.1 -1.1
Jammerbugt 1210 26 -11 4 3.6 +0.4

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 ESB FRE FA HK HEL HOB HOR HVI JAM LYN NYK VEN
Esbjerg —
0-0-2
2.09
1-0-3
5.83
1-1-2
4.85
0-0-2
2.34
3-1-0
4.67
0-2-0
1.96
0-0-2
1.92
0-2-2
7.32
0-0-2
1.82
1-1-0
2.26
0-3-1
5.40
Fredericia
2-0-0
3.30
—
2-0-0
3.59
0-1-1
3.45
1-0-3
4.37
1-0-1
2.95
1-1-2
4.39
2-0-2
4.92
2-0-0
3.66
0-1-3
3.70
3-1-0
6.55
1-1-0
3.43
Fremad Amager
3-0-1
4.91
0-0-2
1.81
—
2-2-0
4.08
0-0-2
1.85
0-3-1
4.32
0-0-2
2.23
0-0-2
1.96
1-1-2
6.66
0-0-2
1.30
2-0-0
2.05
1-0-3
5.03
HB Koge
2-1-1
5.91
1-1-0
1.94
0-2-2
6.70
—
0-1-1
1.61
0-3-1
5.49
2-0-0
1.96
0-0-2
2.32
3-0-1
7.51
0-2-0
1.47
1-0-1
2.25
1-2-1
5.86
Helsingor
2-0-0
3.05
3-0-1
6.39
2-0-0
3.57
1-1-0
3.82
—
1-1-0
4.16
2-1-1
5.71
1-1-2
5.96
2-0-0
4.36
0-2-2
4.45
1-0-3
7.92
1-1-0
3.56
Hobro
0-1-3
6.10
1-0-1
2.41
1-3-0
6.44
1-3-0
5.24
0-1-1
1.32
—
0-0-2
1.83
1-1-0
1.65
2-1-1
7.35
0-1-1
1.70
0-0-2
2.28
3-1-0
5.74
Horsens
0-2-0
3.45
2-1-1
6.38
2-0-0
3.16
0-0-2
3.42
1-1-2
5.06
2-0-0
3.57
—
2-2-0
5.86
2-0-0
3.85
3-0-1
4.50
4-0-0
7.61
1-1-0
3.34
Hvidovre
2-0-0
3.48
2-0-2
5.82
2-0-0
3.43
2-0-0
3.07
2-1-1
4.79
0-1-1
3.77
0-2-2
4.88
—
1-1-0
3.49
1-1-2
4.24
3-0-1
7.19
2-0-0
3.56
Jammerbugt
2-2-0
3.51
0-0-2
1.76
2-1-1
4.12
1-0-3
3.37
0-0-2
1.19
1-1-2
3.51
0-0-2
1.58
0-1-1
1.91
—
0-0-2
1.51
0-0-2
2.04
1-0-3
3.63
Lyngby
2-0-0
3.59
3-1-0
7.11
2-0-0
4.18
0-2-0
3.98
2-2-0
6.30
1-1-0
3.73
1-0-3
6.25
2-1-1
6.52
2-0-0
3.97
—
2-1-1
7.78
1-1-0
4.04
Nykobing
0-1-1
3.11
0-1-3
4.22
0-0-2
3.34
1-0-1
3.12
3-0-1
2.97
2-0-0
3.10
0-0-4
3.26
1-0-3
3.62
2-0-0
3.34
1-1-2
3.13
—
0-2-0
2.70
Vendsyssel
1-3-0
5.33
0-1-1
1.95
3-0-1
5.72
1-2-1
4.88
0-1-1
1.84
0-1-3
5.02
0-1-1
2.05
0-0-2
1.84
3-0-1
7.17
0-1-1
1.41
0-2-0
2.67
—

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).

Fit Metrics

R² Slope
Scored 0.73 +11.1
Allowed 0.73 -8.0
Differential 0.90 +5.7

Scoreline Distribution

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

↓ Scored | Allowed →012345+Total
05.21%7.55%4.43%4.69%1.04%1.30%24.22%
17.55%11.98%8.33%2.60%3.12%0.78%34.38%
24.43%8.33%5.21%2.08%0.78%0.26%21.09%
34.69%2.60%2.08%1.56%0.52%—11.46%
41.04%3.12%0.78%0.52%1.04%—6.51%
5+1.30%0.78%0.26%———2.34%
Total24.22%34.38%21.09%11.46%6.51%2.34%100%

Summary Statistics

Scored Allowed Difference
Mean 1.49 1.49 +0.00
SD 1.30 1.30 1.96
CV 0.87 0.87 —
Max 6 6 +6
Min 0 0 -6

Games Played: 192

↓ Scored | Allowed →012345+Total
012.50%9.38%6.25%9.38%—3.12%40.62%
1—6.25%12.50%3.12%——21.88%
23.12%9.38%12.50%3.12%3.12%—31.25%
33.12%—————3.12%
4———————
5+——3.12%———3.12%
Total18.75%25.00%34.38%15.62%3.12%3.12%100%

Summary Statistics

Scored Allowed Difference
Mean 1.12 1.69 -0.56
SD 1.29 1.23 1.78
CV 1.15 0.73 —
Max 6 5 +4
Min 0 0 -5

Games Played: 32

↓ Scored | Allowed →012345+Total
03.12%3.12%6.25%3.12%3.12%—18.75%
19.38%6.25%3.12%9.38%3.12%3.12%34.38%
23.12%9.38%3.12%—3.12%—18.75%
36.25%3.12%6.25%———15.62%
46.25%———3.12%—9.38%
5+—3.12%————3.12%
Total28.12%25.00%18.75%12.50%12.50%3.12%100%

Summary Statistics

Scored Allowed Difference
Mean 1.72 1.66 +0.06
SD 1.37 1.49 2.26
CV 0.80 0.90 —
Max 5 5 +4
Min 0 0 -4

Games Played: 32

↓ Scored | Allowed →012345+Total
06.25%6.25%6.25%6.25%—3.12%28.12%
16.25%12.50%9.38%—12.50%3.12%43.75%
26.25%——3.12%3.12%—12.50%
33.12%3.12%3.12%———9.38%
4—3.12%3.12%———6.25%
5+———————
Total21.88%25.00%21.88%9.38%15.62%6.25%100%

Summary Statistics

Scored Allowed Difference
Mean 1.22 1.94 -0.72
SD 1.16 1.64 2.14
CV 0.95 0.85 —
Max 4 6 +3
Min 0 0 -5

Games Played: 32

↓ Scored | Allowed →012345+Total
06.25%12.50%6.25%3.12%——28.12%
13.12%18.75%—3.12%3.12%—28.12%
29.38%6.25%6.25%———21.88%
312.50%——3.12%3.12%—18.75%
4————3.12%—3.12%
5+———————
Total31.25%37.50%12.50%9.38%9.38%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.41 1.28 +0.12
SD 1.19 1.28 1.66
CV 0.84 1.00 —
Max 4 4 +3
Min 0 0 -3

Games Played: 32

↓ Scored | Allowed →012345+Total
03.12%3.12%3.12%3.12%3.12%—15.62%
112.50%3.12%9.38%———25.00%
23.12%6.25%9.38%3.12%——21.88%
36.25%6.25%—6.25%3.12%—21.88%
43.12%6.25%3.12%———12.50%
5+3.12%—————3.12%
Total31.25%25.00%25.00%12.50%6.25%—100%

Summary Statistics

Scored Allowed Difference
Mean 2.03 1.38 +0.66
SD 1.47 1.24 2.06
CV 0.72 0.90 —
Max 6 4 +6
Min 0 0 -4

Games Played: 32

↓ Scored | Allowed →012345+Total
03.12%3.12%3.12%3.12%——12.50%
19.38%21.88%15.62%3.12%3.12%—53.12%
23.12%3.12%9.38%——3.12%18.75%
33.12%3.12%3.12%———9.38%
4————3.12%—3.12%
5+3.12%—————3.12%
Total21.88%31.25%31.25%6.25%6.25%3.12%100%

Summary Statistics

Scored Allowed Difference
Mean 1.47 1.56 -0.09
SD 1.14 1.37 1.75
CV 0.77 0.87 —
Max 5 6 +5
Min 0 0 -4

Games Played: 32

↓ Scored | Allowed →012345+Total
012.50%9.38%6.25%———28.12%
19.38%6.25%—3.12%——18.75%
23.12%25.00%————28.12%
33.12%—3.12%3.12%——9.38%
43.12%9.38%————12.50%
5+—3.12%————3.12%
Total31.25%53.12%9.38%6.25%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.72 0.91 +0.81
SD 1.55 0.82 1.67
CV 0.90 0.90 —
Max 6 3 +5
Min 0 0 -2

Games Played: 32

↓ Scored | Allowed →012345+Total
06.25%9.38%——3.12%—18.75%
115.62%6.25%12.50%3.12%——37.50%
212.50%6.25%6.25%———25.00%
36.25%3.12%3.12%———12.50%
4—3.12%————3.12%
5+—3.12%————3.12%
Total40.62%31.25%21.88%3.12%3.12%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.53 0.97 +0.56
SD 1.22 1.03 1.68
CV 0.80 1.06 —
Max 5 4 +4
Min 0 0 -4

Games Played: 32

↓ Scored | Allowed →012345+Total
0—6.25%6.25%15.62%—6.25%34.38%
16.25%9.38%12.50%—12.50%—40.62%
2—9.38%6.25%3.12%——18.75%
3——3.12%———3.12%
4———3.12%——3.12%
5+———————
Total6.25%25.00%28.12%21.88%12.50%6.25%100%

Summary Statistics

Scored Allowed Difference
Mean 1.00 2.31 -1.31
SD 0.98 1.40 1.87
CV 0.98 0.61 —
Max 4 6 +1
Min 0 0 -6

Games Played: 32

↓ Scored | Allowed →012345+Total
06.25%3.12%————9.38%
112.50%15.62%12.50%———40.62%
23.12%12.50%————15.62%
39.38%6.25%—6.25%——21.88%
4—3.12%3.12%———6.25%
5+6.25%—————6.25%
Total37.50%40.62%15.62%6.25%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.94 0.91 +1.03
SD 1.37 0.89 1.62
CV 0.71 0.99 —
Max 5 3 +5
Min 0 0 -1

Games Played: 32

↓ Scored | Allowed →012345+Total
0—12.50%6.25%6.25%—3.12%28.12%
1—12.50%6.25%3.12%3.12%3.12%28.12%
2—9.38%—9.38%——18.75%
33.12%6.25%3.12%———12.50%
4—3.12%—3.12%3.12%—9.38%
5+3.12%—————3.12%
Total6.25%43.75%15.62%21.88%6.25%6.25%100%

Summary Statistics

Scored Allowed Difference
Mean 1.56 1.97 -0.41
SD 1.44 1.33 2.12
CV 0.92 0.68 —
Max 5 5 +5
Min 0 0 -5

Games Played: 32

↓ Scored | Allowed →012345+Total
03.12%12.50%3.12%6.25%3.12%—28.12%
16.25%25.00%6.25%3.12%——40.62%
26.25%3.12%9.38%3.12%——21.88%
3———————
4—9.38%————9.38%
5+———————
Total15.62%50.00%18.75%12.50%3.12%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.22 1.38 -0.16
SD 1.16 1.01 1.67
CV 0.95 0.73 —
Max 4 4 +3
Min 0 0 -4

Games Played: 32

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
Horsens 1644 64 34.43 +29.57 87.0% 22 25 31 35 38 43 47
Lyngby 1636 63 40.16 +22.84 78.0% 27 31 37 41 43 49 54
Hvidovre 1554 57 35.46 +21.54 92.0% 22 26 32 36 40 45 50
Helsingor 1508 55 37.06 +17.94 99.0% 25 28 33 38 41 45 52
Fredericia 1464 50 33.73 +16.27 75.0% 14 24 30 33 37 45 49
HB Koge 1451 42 26.41 +15.59 40.0% 13 17 23 26 30 36 39
Hobro 1443 39 24.63 +14.37 33.0% 13 14 21 25 29 34 38
Vendsyssel 1381 36 25.27 +10.73 45.0% 12 15 20 26 31 34 39
Nykobing 1379 35 28.18 +6.82 37.0% 14 20 24 28 32 37 44
Esbjerg 1332 28 26.84 +1.16 13.0% 17 18 23 27 30 36 40
Fremad Amager 1328 33 23.06 +9.94 22.0% 11 13 20 23 26 31 37
Jammerbugt 1210 26 20.40 +5.60 23.0% 10 12 17 20 23 30 36

Point 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
No playoff-sim mean data.
First Phase
Second Phase
First Phase
Second Phase
First Phase
Second Phase
No playoff-sim percentile data.

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.

Season Trends

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

Edges & Scoring

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Home Edge
Share of matches won by the home team minus the share won by the away team.
No Edge: under 11.5% * Slight Edge: 11.5% to 19% * Clear Edge: 19% to 28.5% * Strong Edge: 28.5% and up.
Elo Value
Number of Elo rating points one goal is worth. A team this many Elo points better than another is expected to win by one goal on a neutral field.
Scoring Tilt
Average home goals minus average away goals per match. The gold line is the home goals edge implied by the scoring value of an Elo point and the home-field Elo bonus.
Road-Tilted: under -0.2 * Neutral: -0.2 to 0.5 * Home-Tilted: 0.5 to 1.2 * Strong Home: 1.2 and up.
Home Edge
HomeDrawAway
+14.58%
Slight Edge
44.79%25.00%30.21%
Elo Value
Home Edge
175 Elo
0.006 goals per Elo point
051.03500
Scoring Tilt
Expected
+0.27 goals
Neutral
-2+0.29+2

Title Race

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Title-Race Openness
Effective number of teams with a live shot at finishing 1st, from the simulation. 1 means the favorite is a near-lock; larger means a wide-open race. Equal to 1 divided by the sum of squared title odds.
One-Team Race: under 2 * Top-Heavy: 2 to 3 * Open: 3 to 4 * Wide Open: 4 and up.
Champion Preseason Odds
Preseason probability that the eventual champion would finish 1st, from the simulation. The dot marks their rank across all teams, from longshot to favorite.
Preseason Favorite: 1st * Among the Favorites: 2nd * Middle of the Pack: 3rd to 6th * Longshot: 7th or lower.
Title Margin
Points-per-game gap between the champion and the runner-up. Shown per game so it reads the same across long and short seasons. The gold line is the winning margin the model expected, so a dot to the right means a more one-sided race than projected. A title won on goal difference shows 0.00.
Photo Finish: under 0.06 * Tight Race: 0.06 to 0.13 * Comfortable: 0.13 to 0.24 * Runaway: 0.24 and up.
Title-Race Openness
3.5
Open
123410
Champion Preseason Odds
6%
Horsens, 5th of 12
LongshotFavorite
Title Margin
Expected
0.03/gm
Photo Finish
00.120.5/gm

Simulation-Based Surprises

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Luck Spread
Standard deviation of the gap between each team's actual points and their simulated average points. The gold line is the spread the model expected from chance alone.
As Expected: under 4.55 * Some Luck: 4.55 to 6.82 * Lucky: 6.82 to 9.09 * Wild Swing: 9.09 and up.
Average Finish Error
Average gap between where each team was projected to finish and where they actually finished in the table.
Pinpoint: under 1.56 * Close: 1.56 to 2.34 * Off: 2.34 to 3.12 * Way Off: 3.12 and up.
Biggest Overachiever
The team that finished highest inside its own range of simulated outcomes. The gold line is where the top team in a league of 12 typically lands.
Biggest Underachiever
The team that finished lowest inside its own range of simulated outcomes. The gold line is where the bottom team in a league of 12 typically lands.
Season Outliers
Number of teams that finished above the 95th or below the 5th percentile of their own simulated range. Even a well-calibrated model expects about 10% of teams in the extremes.
Minimal Outliers: under 12 * As Expected: 12 to 19.2 * Several Outliers: 19.2 to 26.4 * Many Outliers: 26.4 and up.
Unexpected Relegations
Number of teams that were actually relegated but were not in the model's projected bottom field of the same size. The gold line is how many the model expected to miss on average.
As Expected: under 2 * A Surprise: 2 to 3.2 * Several Surprises: 3.2 to 4.4 * Many Surprises: 4.4 and up.
Luck Spread
Expected
5.83 points
Some Luck
05.6814
Average Finish Error
Expected
1.67
Close
01.954
Biggest Overachiever
Expected 95.83%
99.00%
Helsingor
50100
Biggest Underachiever
Expected 4.17%
13.00%
Esbjerg
050
Season Outliers
Expected
1 of 12
Minimal Outliers
01.26
Unexpected Relegations
Expected 2.0
2 of 2
A Surprise
02

Parity

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Gini Index
How evenly points were spread across the league. Lower means a tight, balanced table; higher means a few teams ran off with most of the points.
Balanced: under 0.13 * Even: 0.13 to 0.17 * Top-Heavy: 0.17 to 0.2 * Lopsided: 0.2 and up.
Noll-Scully
Take a league where every match is a coin flip and nobody is better than anybody. You would still get a table, with a leader and a bottom club, purely by luck, and you can work out how far apart that table would be. This is the real table measured against it. At 1.00 the season was no more spread out than pure chance; at 2.00 it was twice as spread out, which takes genuine differences in quality. Dividing by the luck figure is what makes seasons of different lengths comparable, because a short season spreads a table by luck alone far more than a long one does. Elo SD in the corner is the same question in rating points: how far apart the teams finished on the ratings.
Coin-Flip Parity: under 1.5 * Moderate Separation: 1.5 to 1.8 * Strong Separation: 1.8 to 2.15 * Wide Separation: 2.15 and up.
Interquartile Edge
Chance the team at the 75th percentile of Elo would beat the team at the 25th percentile on a neutral field. Higher means a bigger gap between the upper and lower half of the table.
Even: under 63.5% * Slight Edge: 63.5% to 68% * Clear Edge: 68% to 74.5% * Wide Edge: 74.5% and up.
Best vs. Worst
Chance the top-rated team would beat the bottom-rated team on a neutral field. The gold line is how large that gap tends to be in a league of this size; a dot to the right flags an unusually dominant or unusually weak team.
Even: under 85% * Clear Edge: 85% to 91% * Strong Edge: 91% to 95% * Dominant: 95% and up.
Close Games
Share of matches decided by 1 goal or fewer, draws included. The gold line is how many close games the matchups and the scoring value of an Elo point predict.
Few: under 54.5% * Some Drama: 54.5% to 60% * Frequent: 60% to 65% * Very Frequent: 65% and up.
Blowouts
Share of matches decided by 3 goals or more. The gold line is how many routs the matchups and the scoring model predict.
Rare: under 14.5% * Occasional: 14.5% to 18.5% * Frequent: 18.5% to 23.5% * Very Frequent: 23.5% and up.
Gini Index
0.17
Even
00.130.20.5
Noll-Scully
Elo SD: 120.69
1.79
Moderate Separation
0.751.51.82.153
Interquartile Edge
71%
Clear Edge
50%63.5%74.5%100%
Best vs. Worst
Baseline
92%
Strong Edge
50%92%100%
Close Games
Expected
62%
Frequent
0%56%100%
Blowouts
Expected
22%
Frequent
0%20%100%

Predictability

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Brier Score
How close the pregame probabilities landed to the actual result, averaged over the season. Confident, correct calls are rewarded most; confident misses are punished most. Lower is better; since draws are possible, a score under 0.66 beats guessing the base rate.
Highly Predictable: under 0.56 * Predictable: 0.56 to 0.62 * Hard to Predict: 0.62 to 0.66 * Coin-Flip: 0.66 and up.
Matchup Imbalance
How lopsided the matchups were on paper, averaging the gap between the two win probabilities over their sum. 0 means every match was a toss-up; 1 means every match was a heavy favorite against a big underdog.
Very Even: under 0.34 * Slight Separation: 0.34 to 0.42 * Notable Separation: 0.42 to 0.51 * Lopsided: 0.51 and up.
Strangeness
How wild the final table was versus what the model expected. A value of 1 means teams landed about one standard deviation from their projections on average. Above 1 is a stranger season; below 1 hugged the projections.
Very Predictable: under 0.8 * As Expected: 0.8 to 1.1 * Wilder Than Modeled: 1.1 to 1.4 * Chaotic: 1.4 and up.
Repeatability
How closely the final table order matched the preseason Elo order, by Spearman rank correlation. Higher means last season's ratings strongly predicted this season's finish. Shows N/A for an inaugural season.
Weak Carryover: under 0.38 * Some Carryover: 0.38 to 0.57 * Strong Carryover: 0.57 to 0.7 * Near-Lock: 0.7 and up.
Upset Rate
Share of matches the underdog won. The gold line is how often the model expected underdogs to win; a dot to the right means upsets ran hotter than expected.
Chalky: under 18% * As Expected: 18% to 22% * Upset-Prone: 22% to 25% * Very Upset-Prone: 25% and up.
Clear Favorite Upset Rate
Share of matches the underdog won, counting only games with a clear favorite (at least 60% likely to win once a draw is set aside). The gold line is how often the model expected these favorites to slip.
Solid Favorites: under 15.5% * As Expected: 15.5% to 18.5% * Shaky Favorites: 18.5% to 22% * Very Shaky: 22% and up.
Brier Score
Expected
0.61
Predictable
00.632
Matchup Imbalance
0.33
Very Even
00.340.420.5
Strangeness
Expected
1.11
Wilder Than Modeled
01.002
Repeatability
0.52
Some Carryover
00.380.570.71
Upset Rate
Expected
23%
Upset-Prone
0%23%50%
Clear Favorite Upset Rate
Expected
20%
Shaky Favorites
0%20%50%

Calibration

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Probability calibration
An all-in-one chi-square test of the model's probabilities. Matches are grouped by how confident the model was, and within each group the predicted and actual counts of home wins, draws, and away wins are compared. The p-value is plotted; above 0.05 means well-calibrated.
Miscalibrated: under 0.05 * Borderline: 0.05 to 0.1 * Well Calibrated: 0.1 to 0.5 * Excellent: 0.5 and up.
Calibration slope
Checks whether the spread of the probabilities is right. Each probability is turned into log-odds and a line is fit predicting the actual results. A slope of 1.00 is perfect; below 1 is overconfidence (favorites lost more than their odds implied); above 1 is under-confidence.
Overconfident: under 0.85 * Calibrated: 0.85 to 1.15 * Underconfident: 1.15 to 1.3 * Very Underconfident: 1.3 and up.
Calibration error (ECE)
The average gap between the model's stated chances and how often the predicted result actually happened. Smaller is better. The gold line is the noise ceiling, the error luck alone can produce even with perfect probabilities; below it, the model's error is no larger than chance.
Well Within Noise: under 0.12 * Near Noise Ceiling: 0.12 to 0.18 * Above Noise: 0.18 to 0.24 * Well Above Noise: 0.24 and up.
Probability calibration
0.59
Excellent
0.010.050.10.51
Calibration slope
Ideal
1.02
Calibrated
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.080
Well Within Noise
00.1220.3

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.

Final Table Odds

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).

Team123456789101112
Horsens6.00%18.00%17.00%16.00%18.00%8.00%4.00%9.00%2.00%2.00%——
Lyngby46.00%22.00%14.00%8.00%1.00%6.00%2.00%1.00%————
Hvidovre17.00%18.00%14.00%17.00%9.00%11.00%8.00%2.00%1.00%2.00%1.00%—
Helsingor19.00%24.00%25.00%10.00%7.00%4.00%7.00%2.00%2.00%———
Fredericia9.00%10.00%11.00%21.00%17.00%12.00%8.00%5.00%5.00%—2.00%—
HB Koge—1.00%7.00%5.00%8.00%10.00%9.00%20.00%11.00%7.00%14.00%8.00%
Hobro——3.00%3.00%2.00%9.00%13.00%12.00%11.00%18.00%14.00%15.00%
Vendsyssel——3.00%5.00%12.00%6.00%11.00%12.00%13.00%12.00%11.00%15.00%
Nykobing2.00%4.00%5.00%5.00%11.00%14.00%14.00%10.00%17.00%11.00%4.00%3.00%
Fremad Amager———2.00%4.00%5.00%9.00%11.00%16.00%15.00%21.00%17.00%
Esbjerg1.00%2.00%1.00%7.00%9.00%10.00%12.00%15.00%15.00%14.00%7.00%7.00%
Jammerbugt—1.00%—1.00%2.00%5.00%3.00%1.00%7.00%19.00%26.00%35.00%
Team123456789101112
Horsens————————————
Lyngby————————————
Hvidovre————————————
Helsingor————————————
Fredericia————————————
HB Koge————————————
Hobro————————————
Vendsyssel————————————
Nykobing————————————
Fremad Amager————————————
Esbjerg————————————
Jammerbugt————————————

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.

Stochastic Relegation Outcomes

Across 100,000 simulations that played all 38 games of the season from preseason Elo, the probability of each team's end-of-season outcome. Reflects FULL uncertainty — both the first-phase results and the second-phase results are simulated each iteration. For the playoff-sim version that conditions on the actual first-phase results, see the next table.

Team Qualified for promotion playoff Qualified for Championship Round
Esbjerg 30.00% 70.00%
Fredericia 80.00% 20.00%
Fremad Amager 11.00% 89.00%
HB Koge 31.00% 69.00%
Helsingor 89.00% 11.00%
Hobro 17.00% 83.00%
Horsens 83.00% 17.00%
Hvidovre 86.00% 14.00%
Jammerbugt 9.00% 91.00%
Lyngby 97.00% 3.00%
Nykobing 41.00% 59.00%
Vendsyssel 26.00% 74.00%

Actual Second Phase Relegation Outcomes

Across 100,000 simulations that took the actual first-phase results as FIXED and projected only the second-phase round-robin games, the probability of each team's end-of-season outcome. Reflects the narrower uncertainty that remained once the league split was decided — so contenders and relegation candidates settle into clearer roles here than in the full-season sim above.

Team Qualified for promotion playoff Qualified for Championship Round
Esbjerg — 100%
Fredericia 100% —
Fremad Amager — 100%
HB Koge — 100%
Helsingor 100% —
Hobro — 100%
Horsens 100% —
Hvidovre 100% —
Jammerbugt — 100%
Lyngby 100% —
Nykobing 100% —
Vendsyssel — 100%

Overall Game Log

Summary of every completed game this season. Sort any column by clicking its header.

Date Opponent ScoreExcitement Pre Elo Opp Elo Win % Tie % Loss %Proj. Margin Elo Δ Points
2021-07-23 Fremad Amager W 1-047.1 1458 1444 40.32% 31.60% 28.08%+0.37 +10.0 3
2021-07-23 @ Helsingor L 0-147.1 1444 1458 28.08% 31.60% 40.32%-0.37 -10.0 0
2021-07-23 HB Koge L 0-249.4 1482 1412 47.71% 30.52% 21.77%+0.70 -27.7 0
2021-07-23 @ Horsens W 2-049.4 1412 1482 21.77% 30.52% 47.71%-0.70 +27.7 3
2021-07-23 Hobro W 2-043.9 1452 1442 39.89% 31.64% 28.48%+0.35 +19.0 3
2021-07-23 @ Fredericia L 0-243.9 1442 1452 28.48% 31.64% 39.89%-0.35 -19.0 0
2021-07-24 Jammerbugt D 1-154.9 1435 1393 44.12% 31.16% 24.72%+0.53 -1.2 1
2021-07-24 @ Hvidovre D 1-154.9 1393 1435 24.72% 31.16% 44.12%-0.53 +1.2 1
2021-07-25 Lyngby L 1-253.7 1429 1483 30.88% 31.79% 37.33%-0.01 -10.1 0
2021-07-25 @ Nykobing W 2-153.7 1483 1429 37.33% 31.79% 30.88%+0.01 +10.1 3
2021-07-27 Vendsyssel D 1-157.1 1476 1426 45.10% 31.01% 23.89%+0.58 -1.4 1
2021-07-27 @ Esbjerg D 1-157.1 1426 1476 23.89% 31.01% 45.10%-0.58 +1.4 1
2021-07-30 Lyngby L 1-251.0 1394 1493 25.26% 31.25% 43.49%-0.27 -8.7 1
2021-07-30 @ Jammerbugt W 2-151.0 1493 1394 43.49% 31.25% 25.26%+0.27 +8.7 6
2021-07-30 Vendsyssel D 1-155.3 1423 1427 37.82% 31.77% 30.41%+0.27 -0.5 1
2021-07-30 @ Hobro D 1-155.3 1427 1423 30.41% 31.77% 37.82%-0.27 +0.5 2
2021-07-31 Helsingor L 1-354.6 1474 1468 39.29% 31.68% 29.02%+0.33 -20.7 1
2021-07-31 @ Esbjerg W 3-154.6 1468 1474 29.02% 31.68% 39.29%-0.33 +20.7 6
2021-07-31 Horsens L 1-449.2 1434 1455 35.52% 31.85% 32.62%+0.17 -27.2 0
2021-07-31 @ Fremad Amager W 4-149.2 1455 1434 32.62% 31.85% 35.52%-0.17 +27.2 3
2021-08-01 Fredericia D 4-468.4 1419 1471 31.02% 31.80% 37.18%-0.01 +0.2 1
2021-08-01 @ Nykobing D 4-468.4 1471 1419 37.18% 31.80% 31.02%+0.01 -0.2 4
2021-08-01 Hvidovre L 0-344.5 1439 1434 39.17% 31.69% 29.14%+0.32 -34.6 3
2021-08-01 @ HB Koge W 3-044.5 1434 1439 29.14% 31.69% 39.17%-0.32 +34.6 4
2021-08-06 Fremad Amager W 3-039.3 1468 1407 46.56% 30.75% 22.69%+0.64 +23.2 7
2021-08-06 @ Hvidovre L 0-339.3 1407 1468 22.69% 30.75% 46.56%-0.64 -23.2 0
2021-08-06 Helsingor L 0-152.4 1482 1489 37.46% 31.79% 30.75%+0.25 -12.2 3
2021-08-06 @ Horsens W 1-052.4 1489 1482 30.75% 31.79% 37.46%-0.25 +12.2 9
2021-08-07 Esbjerg W 5-042.4 1501 1454 44.82% 31.05% 24.13%+0.56 +39.3 9
2021-08-07 @ Lyngby L 0-542.4 1454 1501 24.13% 31.05% 44.82%-0.56 -39.3 1
2021-08-08 Hobro D 1-154.7 1405 1422 35.93% 31.84% 32.23%+0.19 -0.2 4
2021-08-08 @ HB Koge D 1-154.7 1422 1405 32.23% 31.84% 35.93%-0.19 +0.2 2
2021-08-08 Nykobing D 1-155.3 1427 1419 39.55% 31.66% 28.79%+0.34 -0.7 3
2021-08-08 @ Vendsyssel D 1-155.3 1419 1427 28.79% 31.66% 39.55%-0.34 +0.7 2
2021-08-09 Fredericia L 0-340.2 1385 1471 26.74% 31.45% 41.80%-0.20 -26.4 1
2021-08-09 @ Jammerbugt W 3-040.2 1471 1385 41.80% 31.45% 26.74%+0.20 +26.4 7
2021-08-13 Horsens D 0-052.1 1414 1470 30.66% 31.78% 37.56%-0.02 +0.5 2
2021-08-13 @ Esbjerg D 0-052.1 1470 1414 37.56% 31.78% 30.66%+0.02 -0.5 4
2021-08-13 Hvidovre W 1-050.6 1498 1492 39.25% 31.68% 29.06%+0.33 +10.2 10
2021-08-13 @ Fredericia L 0-150.6 1492 1498 29.06% 31.68% 39.25%-0.33 -10.2 7
2021-08-13 Vendsyssel W 3-148.3 1501 1427 48.12% 30.44% 21.45%+0.71 +13.2 12
2021-08-13 @ Helsingor L 1-348.3 1427 1501 21.45% 30.44% 48.12%-0.71 -13.2 3
2021-08-14 HB Koge W 3-147.5 1420 1404 40.53% 31.58% 27.89%+0.38 +16.2 5
2021-08-14 @ Nykobing L 1-347.5 1404 1420 27.89% 31.58% 40.53%-0.38 -16.2 4
2021-08-14 Jammerbugt L 1-252.6 1384 1359 41.81% 31.45% 26.73%+0.43 -12.5 0
2021-08-14 @ Fremad Amager W 2-152.6 1359 1384 26.73% 31.45% 41.81%-0.43 +12.5 4
2021-08-14 Lyngby L 1-447.8 1422 1541 23.17% 30.86% 45.97%-0.38 -19.9 2
2021-08-14 @ Hobro W 4-147.8 1541 1422 45.97% 30.86% 23.17%+0.38 +19.9 12
2021-08-17 Esbjerg W 1-044.8 1508 1415 50.40% 29.89% 19.70%+0.82 +7.5 13
2021-08-17 @ Fredericia L 0-144.8 1415 1508 19.70% 29.89% 50.40%-0.82 -7.5 2
2021-08-17 Nykobing W 1-046.4 1481 1436 44.49% 31.10% 24.41%+0.55 +9.0 10
2021-08-17 @ Hvidovre L 0-146.4 1436 1481 24.41% 31.10% 44.49%-0.55 -9.0 5
2021-08-18 Fremad Amager W 4-248.9 1561 1371 60.85% 26.15% 13.00%+1.37 +7.4 15
2021-08-18 @ Lyngby L 2-448.9 1371 1561 13.00% 26.15% 60.85%-1.37 -7.3 0
2021-08-18 Hobro D 1-153.5 1371 1403 33.97% 31.86% 34.17%+0.11 +0.0 5
2021-08-18 @ Jammerbugt D 1-153.5 1403 1371 34.17% 31.86% 33.97%-0.11 -0.0 3
2021-08-19 Horsens L 1-252.6 1414 1469 30.61% 31.78% 37.61%-0.03 -10.0 3
2021-08-19 @ Vendsyssel W 2-152.6 1469 1414 37.61% 31.78% 30.61%+0.03 +10.0 7
2021-08-20 Hvidovre L 1-252.0 1407 1490 27.12% 31.50% 41.38%-0.18 -9.2 2
2021-08-20 @ Esbjerg W 2-152.0 1490 1407 41.38% 31.50% 27.12%+0.18 +9.2 13
2021-08-21 HB Koge W 2-041.9 1364 1388 34.97% 31.86% 33.17%+0.15 +21.2 3
2021-08-21 @ Fremad Amager L 0-241.9 1388 1364 33.17% 31.86% 34.97%-0.15 -21.2 4
2021-08-21 Lyngby D 3-373.4 1514 1568 30.84% 31.79% 37.37%-0.02 +0.2 13
2021-08-21 @ Helsingor D 3-373.4 1568 1514 37.37% 31.79% 30.84%+0.02 -0.2 16
2021-08-22 Fredericia D 1-157.7 1403 1515 23.83% 30.99% 45.17%-0.35 +1.4 4
2021-08-22 @ Vendsyssel D 1-157.7 1515 1403 45.17% 30.99% 23.83%+0.35 -1.4 14
2021-08-22 Jammerbugt W 2-147.3 1479 1371 52.13% 29.42% 18.45%+0.91 +6.7 10
2021-08-22 @ Horsens L 1-247.3 1371 1479 18.45% 29.42% 52.13%-0.91 -6.7 5
2021-08-23 Nykobing L 1-252.5 1403 1427 34.95% 31.86% 33.19%+0.15 -11.0 3
2021-08-23 @ Hobro W 2-152.5 1427 1403 33.19% 31.86% 34.95%-0.15 +11.0 8
2021-08-25 Helsingor L 0-143.7 1367 1514 20.34% 30.11% 49.55%-0.55 -7.7 4
2021-08-25 @ HB Koge W 1-043.7 1514 1367 49.55% 30.11% 20.34%+0.55 +7.7 16
2021-08-27 Esbjerg D 1-155.1 1438 1398 43.80% 31.20% 25.00%+0.52 -1.2 9
2021-08-27 @ Nykobing D 1-155.1 1398 1438 25.00% 31.20% 43.80%-0.52 +1.2 3
2021-08-27 Fremad Amager W 2-148.1 1514 1385 54.52% 28.67% 16.81%+1.03 +6.2 17
2021-08-27 @ Fredericia L 1-248.1 1385 1514 16.81% 28.67% 54.52%-1.03 -6.2 3
2021-08-28 Helsingor L 0-638.9 1364 1522 19.44% 29.80% 50.77%-0.61 -39.0 5
2021-08-28 @ Jammerbugt W 6-038.9 1522 1364 50.77% 29.80% 19.44%+0.61 +39.0 19
2021-08-29 Horsens L 1-263.8 1568 1486 49.07% 30.22% 20.71%+0.76 -14.2 16
2021-08-29 @ Lyngby W 2-163.8 1486 1568 20.71% 30.22% 49.07%-0.76 +14.2 13
2021-08-29 Vendsyssel D 2-259.1 1359 1405 31.96% 31.83% 36.20%+0.03 +0.2 5
2021-08-29 @ HB Koge D 2-259.1 1405 1359 36.20% 31.83% 31.96%-0.03 -0.2 5
2021-08-30 Hobro D 2-263.0 1500 1392 52.13% 29.42% 18.45%+0.91 -1.7 14
2021-08-30 @ Hvidovre D 2-263.0 1392 1500 18.45% 29.42% 52.13%-0.91 +1.7 4
2021-09-10 Hobro W 2-149.8 1399 1393 39.24% 31.68% 29.07%+0.33 +9.7 6
2021-09-10 @ Esbjerg L 1-249.8 1393 1399 29.07% 31.68% 39.24%-0.33 -9.7 4
2021-09-10 Nykobing W 3-150.4 1379 1437 30.28% 31.76% 37.95%-0.04 +20.2 6
2021-09-10 @ Fremad Amager L 1-350.4 1437 1379 37.95% 31.76% 30.28%+0.04 -20.2 9
2021-09-12 Fredericia L 1-356.4 1500 1520 35.56% 31.85% 32.59%+0.18 -19.3 13
2021-09-12 @ Horsens W 3-156.4 1520 1500 32.59% 31.85% 35.56%-0.18 +19.3 20
2021-09-12 HB Koge W 4-358.0 1326 1359 33.60% 31.86% 34.53%+0.10 +10.1 8
2021-09-12 @ Jammerbugt L 3-458.0 1359 1326 34.53% 31.86% 33.60%-0.10 -10.1 5
2021-09-12 Hvidovre D 2-268.7 1561 1498 46.77% 30.71% 22.52%+0.65 -1.2 20
2021-09-12 @ Helsingor D 2-268.7 1498 1561 22.52% 30.71% 46.77%-0.65 +1.2 15
2021-09-17 HB Koge D 1-158.8 1554 1349 62.29% 25.47% 12.23%+1.46 -3.5 17
2021-09-17 @ Lyngby D 1-158.8 1349 1554 12.23% 25.47% 62.29%-1.46 +3.5 6
2021-09-17 Helsingor L 2-463.4 1540 1560 35.54% 31.85% 32.61%+0.18 -17.2 20
2021-09-17 @ Fredericia W 4-263.4 1560 1540 32.61% 31.85% 35.54%-0.18 +17.2 23
2021-09-18 Fremad Amager W 2-150.0 1409 1399 39.78% 31.64% 28.57%+0.35 +9.5 9
2021-09-18 @ Esbjerg L 1-250.0 1399 1409 28.57% 31.64% 39.78%-0.35 -9.5 6
2021-09-18 Horsens L 0-340.0 1384 1481 25.47% 31.28% 43.25%-0.26 -25.4 4
2021-09-18 @ Hobro W 3-040.0 1481 1384 43.25% 31.28% 25.47%+0.26 +25.4 16
2021-09-19 Jammerbugt W 4-141.0 1417 1336 48.97% 30.24% 20.79%+0.75 +18.2 12
2021-09-19 @ Nykobing L 1-441.0 1336 1417 20.79% 30.24% 48.97%-0.75 -18.2 8
2021-09-19 Vendsyssel W 3-254.8 1499 1405 50.55% 29.86% 19.60%+0.83 +6.7 18
2021-09-19 @ Hvidovre L 2-354.8 1405 1499 19.60% 29.86% 50.55%-0.83 -6.7 5
2021-09-24 Fredericia W 3-047.7 1353 1522 18.44% 29.41% 52.15%-0.68 +43.3 9
2021-09-24 @ HB Koge L 0-347.7 1522 1353 52.15% 29.41% 18.44%+0.68 -43.3 20
2021-09-24 Hobro D 2-265.9 1577 1358 63.71% 24.77% 11.51%+1.54 -2.7 24
2021-09-24 @ Helsingor D 2-265.9 1358 1577 11.51% 24.77% 63.71%-1.54 +2.7 5
2021-09-25 Hvidovre W 3-154.2 1550 1506 44.37% 31.12% 24.51%+0.54 +14.7 20
2021-09-25 @ Lyngby L 1-354.2 1506 1550 24.51% 31.12% 44.37%-0.54 -14.7 18
2021-09-25 Vendsyssel W 1-044.9 1389 1398 37.22% 31.80% 30.98%+0.24 +10.7 9
2021-09-25 @ Fremad Amager L 0-144.9 1398 1389 30.98% 31.80% 37.22%-0.24 -10.7 5
2021-09-26 Esbjerg W 1-047.7 1317 1418 25.02% 31.21% 43.77%-0.29 +13.7 11
2021-09-26 @ Jammerbugt L 0-147.7 1418 1317 43.77% 31.21% 25.02%+0.29 -13.7 9
2021-09-26 Nykobing W 2-151.6 1506 1435 47.77% 30.51% 21.72%+0.70 +7.7 19
2021-09-26 @ Horsens L 1-251.6 1435 1506 21.72% 30.51% 47.77%-0.70 -7.7 12
2021-10-01 Fremad Amager W 5-040.5 1361 1400 32.84% 31.85% 35.30%+0.07 +51.7 8
2021-10-01 @ Hobro L 0-540.5 1400 1361 35.30% 31.85% 32.84%-0.07 -51.8 9
2021-10-01 Lyngby L 0-248.8 1479 1565 26.80% 31.46% 41.74%-0.20 -18.2 20
2021-10-01 @ Fredericia W 2-048.8 1565 1479 41.74% 31.46% 26.80%+0.20 +18.2 23
2021-10-02 Horsens D 0-056.3 1491 1514 35.18% 31.86% 32.96%+0.16 -0.2 19
2021-10-02 @ Hvidovre D 0-056.3 1514 1491 32.96% 31.86% 35.18%-0.16 +0.1 20
2021-10-03 Helsingor W 3-051.6 1427 1574 20.35% 30.11% 49.54%-0.55 +41.5 15
2021-10-03 @ Nykobing L 0-351.6 1574 1427 49.54% 30.11% 20.35%+0.55 -41.5 24
2021-10-03 Jammerbugt W 2-146.5 1387 1331 45.88% 30.87% 23.25%+0.61 +8.2 8
2021-10-03 @ Vendsyssel L 1-246.5 1331 1387 23.25% 30.87% 45.88%-0.61 -8.2 11
2021-10-04 HB Koge W 2-041.5 1405 1396 39.61% 31.66% 28.74%+0.34 +19.2 12
2021-10-04 @ Esbjerg L 0-241.5 1396 1405 28.74% 31.66% 39.61%-0.34 -19.2 9
2021-10-14 Esbjerg W 3-040.4 1533 1424 52.25% 29.38% 18.36%+0.91 +19.4 27
2021-10-14 @ Helsingor L 0-340.4 1424 1533 18.36% 29.38% 52.25%-0.91 -19.4 12
2021-10-15 Fredericia L 0-143.0 1348 1461 23.78% 30.98% 45.23%-0.35 -8.8 9
2021-10-15 @ Fremad Amager W 1-043.0 1461 1348 45.23% 30.98% 23.78%+0.35 +8.8 23
2021-10-16 Hvidovre L 0-238.0 1323 1491 18.57% 29.47% 51.97%-0.67 -13.5 11
2021-10-16 @ Jammerbugt W 2-038.0 1491 1323 51.97% 29.47% 18.57%+0.67 +13.5 22
2021-10-16 Nykobing W 1-049.7 1377 1469 26.09% 31.37% 42.54%-0.23 +13.4 12
2021-10-16 @ HB Koge L 0-149.7 1469 1377 42.54% 31.37% 26.09%+0.23 -13.5 15
2021-10-17 Hobro D 1-161.7 1583 1413 58.91% 27.00% 14.09%+1.26 -3.1 24
2021-10-17 @ Lyngby D 1-161.7 1413 1583 14.09% 27.00% 58.91%-1.26 +3.1 9
2021-10-17 Vendsyssel D 1-158.0 1514 1395 53.35% 29.05% 17.60%+0.97 -2.4 21
2021-10-17 @ Horsens D 1-158.0 1395 1514 17.60% 29.05% 53.35%-0.97 +2.4 9
2021-10-22 HB Koge W 1-043.1 1504 1390 52.82% 29.21% 17.97%+0.94 +6.9 25
2021-10-22 @ Hvidovre L 0-143.1 1390 1504 17.97% 29.21% 52.82%-0.94 -6.9 12
2021-10-22 Jammerbugt L 0-149.4 1416 1309 51.93% 29.48% 18.59%+0.90 -15.8 9
2021-10-22 @ Hobro W 1-049.4 1309 1416 18.59% 29.48% 51.93%-0.90 +15.8 14
2021-10-23 Fredericia L 1-252.0 1404 1470 29.36% 31.71% 38.94%-0.08 -9.7 12
2021-10-23 @ Esbjerg W 2-152.0 1470 1404 38.94% 31.71% 29.36%+0.08 +9.7 26
2021-10-23 Lyngby L 0-154.2 1512 1580 28.96% 31.68% 39.37%-0.10 -10.2 21
2021-10-23 @ Horsens W 1-054.2 1580 1512 39.37% 31.68% 28.96%+0.10 +10.2 27
2021-10-24 Fremad Amager L 0-345.8 1455 1340 53.01% 29.16% 17.83%+0.95 -43.8 15
2021-10-24 @ Nykobing W 3-045.8 1340 1455 17.83% 29.16% 53.01%-0.95 +43.8 12
2021-10-24 Helsingor D 2-264.9 1398 1552 19.70% 29.89% 50.41%-0.59 +1.5 10
2021-10-24 @ Vendsyssel D 2-264.9 1552 1398 50.41% 29.89% 19.70%+0.59 -1.5 28
2021-10-29 Esbjerg L 2-648.0 1400 1395 39.13% 31.69% 29.18%+0.32 -32.0 9
2021-10-29 @ Hobro W 6-248.0 1395 1400 29.18% 31.69% 39.13%-0.32 +32.0 15
2021-10-29 Helsingor D 0-061.2 1590 1551 43.72% 31.22% 25.07%+0.52 -1.3 28
2021-10-29 @ Lyngby D 0-061.2 1551 1590 25.07% 31.22% 43.72%-0.52 +1.3 29
2021-10-30 Nykobing L 0-537.4 1325 1411 26.75% 31.45% 41.80%-0.20 -42.5 14
2021-10-30 @ Jammerbugt W 5-037.4 1411 1325 41.80% 31.45% 26.75%+0.20 +42.5 18
2021-10-31 Hvidovre L 1-445.1 1383 1511 22.20% 30.63% 47.17%-0.44 -19.2 12
2021-10-31 @ Fremad Amager W 4-145.1 1511 1383 47.17% 30.63% 22.20%+0.44 +19.2 28
2021-10-31 Vendsyssel W 4-038.2 1479 1399 48.84% 30.27% 20.88%+0.75 +28.3 29
2021-10-31 @ Fredericia L 0-438.2 1399 1479 20.88% 30.27% 48.84%-0.75 -28.3 10
2021-11-01 Horsens W 2-048.6 1383 1501 23.20% 30.86% 45.94%-0.38 +26.9 15
2021-11-01 @ HB Koge L 0-248.6 1501 1383 45.94% 30.86% 23.20%+0.38 -26.9 21
2021-11-03 Lyngby D 1-160.2 1371 1589 14.94% 27.59% 57.47%-0.95 +2.9 11
2021-11-03 @ Vendsyssel D 1-160.2 1589 1371 57.47% 27.59% 14.94%+0.95 -2.9 29
2021-11-05 Jammerbugt D 2-259.3 1427 1283 56.14% 28.10% 15.77%+1.11 -2.0 16
2021-11-05 @ Esbjerg D 2-259.3 1283 1427 15.77% 28.10% 56.14%-1.11 +2.0 15
2021-11-06 Hobro W 3-144.7 1454 1368 49.55% 30.11% 20.35%+0.78 +12.6 21
2021-11-06 @ Nykobing L 1-344.7 1368 1454 20.35% 30.11% 49.55%-0.78 -12.7 9
2021-11-06 Lyngby W 1-057.7 1530 1586 30.64% 31.78% 37.58%-0.02 +12.3 31
2021-11-06 @ Hvidovre L 0-157.7 1586 1530 37.58% 31.78% 30.64%+0.02 -12.3 29
2021-11-07 Fremad Amager W 6-139.3 1475 1364 52.40% 29.34% 18.26%+0.92 +25.7 24
2021-11-07 @ Horsens L 1-639.3 1364 1475 18.26% 29.34% 52.40%-0.92 -25.7 12
2021-11-07 HB Koge W 4-146.3 1374 1410 33.24% 31.86% 34.90%+0.08 +26.9 14
2021-11-07 @ Vendsyssel L 1-446.3 1410 1374 34.90% 31.86% 33.24%-0.08 -26.9 15
2021-11-08 Fredericia W 4-151.9 1552 1508 44.37% 31.12% 24.51%+0.54 +20.8 32
2021-11-08 @ Helsingor L 1-451.9 1508 1552 24.51% 31.12% 44.37%-0.54 -20.8 29
2021-11-19 Esbjerg W 3-041.7 1383 1425 32.57% 31.85% 35.58%+0.06 +32.3 18
2021-11-19 @ HB Koge L 0-341.7 1425 1383 35.58% 31.85% 32.57%-0.06 -32.3 16
2021-11-19 Hvidovre W 2-159.3 1355 1543 17.04% 28.78% 54.18%-0.78 +15.4 12
2021-11-19 @ Hobro L 1-259.3 1543 1355 54.18% 28.78% 17.04%+0.78 -15.4 31
2021-11-20 Helsingor L 1-442.0 1338 1573 13.93% 26.88% 59.19%-1.05 -12.5 12
2021-11-20 @ Fremad Amager W 4-142.0 1573 1338 59.19% 26.88% 13.93%+1.05 +12.5 35
2021-11-20 Horsens L 1-439.1 1285 1500 15.10% 27.69% 57.21%-0.94 -13.6 15
2021-11-20 @ Jammerbugt W 4-139.1 1500 1285 57.21% 27.69% 15.10%+0.94 +13.6 27
2021-11-21 Nykobing W 3-259.3 1487 1467 41.19% 31.52% 27.29%+0.41 +8.8 32
2021-11-21 @ Fredericia L 2-359.3 1467 1487 27.29% 31.52% 41.19%-0.41 -8.8 21
2021-11-21 Vendsyssel W 1-044.0 1574 1401 59.17% 26.89% 13.94%+1.28 +5.4 32
2021-11-21 @ Lyngby L 0-144.0 1401 1574 13.94% 26.89% 59.17%-1.28 -5.4 14
2021-11-26 HB Koge D 1-161.9 1585 1416 58.84% 27.03% 14.13%+1.26 -3.1 36
2021-11-26 @ Helsingor D 1-161.9 1416 1585 14.13% 27.03% 58.84%-1.26 +3.1 19
2021-11-26 Jammerbugt W 3-031.1 1579 1271 71.62% 20.35% 8.03%+2.05 +7.8 35
2021-11-26 @ Lyngby L 0-331.1 1271 1579 8.03% 20.35% 71.62%-2.05 -7.8 15
2021-11-27 Fredericia W 5-149.4 1527 1496 42.72% 31.35% 25.93%+0.47 +28.1 34
2021-11-27 @ Hvidovre L 1-549.4 1496 1527 25.93% 31.35% 42.72%-0.47 -28.1 32
2021-11-27 Fremad Amager W 2-037.6 1395 1326 47.53% 30.56% 21.91%+0.69 +15.5 17
2021-11-27 @ Vendsyssel L 0-237.6 1326 1395 21.91% 30.56% 47.53%-0.69 -15.5 12
2021-11-28 Hobro W 2-147.2 1514 1371 56.04% 28.13% 15.83%+1.11 +5.8 30
2021-11-28 @ Horsens L 1-247.2 1371 1514 15.83% 28.13% 56.04%-1.11 -5.8 12
2021-11-28 Nykobing W 3-043.8 1392 1458 29.32% 31.70% 38.98%-0.08 +34.5 19
2021-11-28 @ Esbjerg L 0-343.8 1458 1392 38.98% 31.70% 29.32%+0.08 -34.5 21
2021-12-02 Esbjerg W 2-042.7 1555 1427 54.46% 28.69% 16.85%+1.03 +12.3 37
2021-12-02 @ Hvidovre L 0-242.7 1427 1555 16.85% 28.69% 54.46%-1.03 -12.3 19
2021-12-03 Helsingor L 1-248.9 1365 1582 14.97% 27.61% 57.42%-0.95 -5.5 12
2021-12-03 @ Hobro W 2-148.9 1582 1365 57.42% 27.61% 14.97%+0.95 +5.5 39
2021-12-03 Horsens L 0-248.1 1468 1520 31.09% 31.80% 37.11%-0.01 -20.3 32
2021-12-03 @ Fredericia W 2-048.1 1520 1468 37.11% 31.80% 31.09%+0.01 +20.3 33
2021-12-04 Lyngby D 3-371.3 1419 1587 18.55% 29.46% 51.99%-0.67 +1.4 20
2021-12-04 @ HB Koge D 3-371.3 1587 1419 51.99% 29.46% 18.55%+0.67 -1.4 36
2021-12-04 Vendsyssel D 1-154.9 1423 1411 40.13% 31.62% 28.26%+0.36 -0.7 22
2021-12-04 @ Nykobing D 1-154.9 1411 1423 28.26% 31.62% 40.13%-0.36 +0.7 18
2022-02-19 Fremad Amager D 1-151.2 1263 1310 31.76% 31.83% 36.41%+0.02 +0.3 16
2022-02-19 @ Jammerbugt D 1-151.2 1310 1263 36.41% 31.83% 31.76%-0.02 -0.3 13
2022-02-25 Esbjerg W 4-254.5 1310 1415 24.66% 31.15% 44.19%-0.30 +20.2 16
2022-02-25 @ Fremad Amager L 2-454.5 1415 1310 44.19% 31.15% 24.66%+0.30 -20.2 19
2022-02-25 Nykobing W 2-042.5 1588 1423 58.38% 27.22% 14.40%+1.23 +10.6 42
2022-02-25 @ Helsingor L 0-242.5 1423 1588 14.40% 27.22% 58.38%-1.23 -10.6 22
2022-02-26 Fredericia D 1-162.7 1585 1447 55.51% 28.32% 16.17%+1.08 -2.7 37
2022-02-26 @ Lyngby D 1-162.7 1447 1585 16.17% 28.32% 55.51%-1.08 +2.7 33
2022-02-26 Hobro L 0-343.6 1412 1359 45.38% 30.96% 23.66%+0.59 -38.7 18
2022-02-26 @ Vendsyssel W 3-043.6 1359 1412 23.66% 30.96% 45.38%-0.59 +38.7 15
2022-02-27 Hvidovre W 2-161.6 1540 1568 34.46% 31.86% 33.67%+0.13 +10.7 36
2022-02-27 @ Horsens L 1-261.6 1568 1540 33.67% 31.86% 34.46%-0.13 -10.7 37
2022-02-27 Jammerbugt W 2-142.5 1420 1264 57.47% 27.59% 14.94%+1.19 +5.5 23
2022-02-27 @ HB Koge L 1-242.5 1264 1420 14.94% 27.59% 57.47%-1.19 -5.5 16
2022-03-04 HB Koge W 1-046.6 1398 1426 34.51% 31.86% 33.62%+0.13 +11.3 18
2022-03-04 @ Hobro L 0-146.6 1426 1398 33.62% 31.86% 34.51%-0.13 -11.4 23
2022-03-04 Horsens W 1-054.4 1598 1551 44.81% 31.05% 24.13%+0.56 +8.9 45
2022-03-04 @ Helsingor L 0-154.4 1551 1598 24.13% 31.05% 44.81%-0.56 -8.9 36
2022-03-04 Lyngby L 0-336.2 1330 1583 12.92% 26.08% 61.00%-1.15 -13.7 16
2022-03-04 @ Fremad Amager W 3-036.2 1583 1330 61.00% 26.08% 12.92%+1.15 +13.7 40
2022-03-05 Hvidovre L 0-146.8 1412 1557 20.55% 30.17% 49.28%-0.54 -7.8 22
2022-03-05 @ Nykobing W 1-046.8 1557 1412 49.28% 30.17% 20.55%+0.54 +7.8 40
2022-03-06 Esbjerg W 1-045.1 1373 1394 35.40% 31.85% 32.75%+0.17 +11.1 21
2022-03-06 @ Vendsyssel L 0-145.1 1394 1373 32.75% 31.85% 35.40%-0.17 -11.1 19
2022-03-06 Jammerbugt W 3-031.3 1450 1258 61.07% 26.05% 12.88%+1.39 +13.6 36
2022-03-06 @ Fredericia L 0-331.3 1258 1450 12.88% 26.05% 61.07%-1.39 -13.6 16
2022-03-11 Fredericia W 3-151.8 1409 1464 30.81% 31.79% 37.40%-0.02 +20.0 21
2022-03-11 @ Hobro L 1-351.8 1464 1409 37.40% 31.79% 30.81%+0.02 -20.0 36
2022-03-11 Nykobing L 1-264.2 1596 1404 61.12% 26.02% 12.85%+1.39 -16.9 40
2022-03-11 @ Lyngby W 2-164.2 1404 1596 12.85% 26.02% 61.12%-1.39 +16.9 25
2022-03-12 Helsingor L 0-452.1 1565 1607 32.41% 31.85% 35.74%+0.05 -39.6 40
2022-03-12 @ Hvidovre W 4-052.1 1607 1565 35.74% 31.85% 32.41%-0.05 +39.6 48
2022-03-12 Vendsyssel L 0-139.3 1245 1384 21.06% 30.33% 48.61%-0.51 -8.0 16
2022-03-12 @ Jammerbugt W 1-039.3 1384 1245 48.61% 30.33% 21.06%+0.51 +8.0 24
2022-03-13 Esbjerg D 0-054.7 1542 1383 57.68% 27.50% 14.81%+1.20 -3.3 37
2022-03-13 @ Horsens D 0-054.7 1383 1542 14.81% 27.50% 57.68%-1.20 +3.3 20
2022-03-13 Fremad Amager D 0-049.1 1414 1317 50.94% 29.75% 19.31%+0.85 -2.3 24
2022-03-13 @ HB Koge D 0-049.1 1317 1414 19.31% 29.75% 50.94%-0.85 +2.3 17
2022-03-18 HB Koge D 2-261.4 1444 1412 42.70% 31.35% 25.95%+0.47 -0.8 37
2022-03-18 @ Fredericia D 2-261.4 1412 1444 25.95% 31.35% 42.70%-0.47 +0.8 25
2022-03-18 Hobro D 1-153.3 1319 1429 24.00% 31.03% 44.97%-0.34 +1.3 18
2022-03-18 @ Fremad Amager D 1-153.3 1429 1319 44.97% 31.03% 24.00%+0.34 -1.3 22
2022-03-18 Horsens L 1-447.7 1421 1538 23.27% 30.88% 45.85%-0.38 -20.0 25
2022-03-18 @ Nykobing W 4-147.7 1538 1421 45.85% 30.88% 23.27%+0.38 +20.0 40
2022-03-18 Hvidovre L 0-145.4 1392 1525 21.66% 30.49% 47.85%-0.47 -8.2 24
2022-03-18 @ Vendsyssel W 1-045.4 1525 1392 47.85% 30.49% 21.66%+0.47 +8.2 43
2022-03-18 Jammerbugt W 3-029.7 1647 1237 79.37% 15.40% 5.23%+2.63 +4.6 51
2022-03-18 @ Helsingor L 0-329.7 1237 1647 5.23% 15.40% 79.37%-2.63 -4.6 16
2022-03-18 Lyngby L 0-339.9 1386 1580 16.62% 28.57% 54.81%-0.81 -17.7 20
2022-03-18 @ Esbjerg W 3-039.9 1580 1386 54.81% 28.57% 16.62%+0.81 +17.7 43

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 ScoreExcitement Pre Elo Opp Elo Win % Tie % Loss %Proj. Margin Elo Δ Points
2022-03-31 Hobro D 2-259.8 1369 1428 30.11% 31.75% 38.13%-0.05 +0.4 1
2022-03-31 @ Esbjerg D 2-259.8 1428 1369 38.13% 31.75% 30.11%+0.05 -0.4 1
2022-04-01 Hvidovre W 2-159.3 1443 1533 26.22% 31.39% 42.39%-0.23 +12.6 3
2022-04-01 @ Fredericia L 1-259.3 1533 1443 42.39% 31.39% 26.22%+0.23 -12.6 0
2022-04-01 Jammerbugt W 4-138.7 1320 1232 49.84% 30.03% 20.12%+0.80 +17.7 3
2022-04-01 @ Fremad Amager L 1-438.7 1232 1320 20.12% 30.03% 49.84%-0.80 -17.7 0
2022-04-02 Nykobing W 5-039.0 1597 1401 61.50% 25.85% 12.65%+1.41 +21.5 3
2022-04-02 @ Lyngby L 0-539.0 1401 1597 12.65% 25.85% 61.50%-1.41 -21.5 0
2022-04-02 Vendsyssel W 3-038.5 1413 1384 42.35% 31.39% 26.26%+0.46 +26.0 3
2022-04-02 @ HB Koge L 0-338.5 1384 1413 26.26% 31.39% 42.35%-0.46 -26.0 0
2022-04-03 Horsens L 0-163.4 1651 1558 50.40% 29.89% 19.71%+0.82 -15.4 0
2022-04-03 @ Helsingor W 1-063.4 1558 1651 19.71% 29.89% 50.40%-0.82 +15.4 3
2022-04-07 Lyngby D 0-061.1 1521 1619 25.38% 31.26% 43.36%-0.27 +1.3 1
2022-04-07 @ Hvidovre D 0-061.1 1619 1521 43.36% 31.26% 25.38%+0.27 -1.3 4
2022-04-08 HB Koge D 1-155.8 1428 1439 36.86% 31.81% 31.33%+0.23 -0.3 2
2022-04-08 @ Hobro D 1-155.8 1439 1428 31.33% 31.81% 36.86%-0.23 +0.3 4
2022-04-09 Fremad Amager W 2-039.2 1358 1338 41.11% 31.53% 27.36%+0.40 +18.5 3
2022-04-09 @ Vendsyssel L 0-239.2 1338 1358 27.36% 31.53% 41.11%-0.40 -18.5 3
2022-04-09 Helsingor W 4-373.1 1380 1636 12.70% 25.89% 61.41%-1.17 +15.7 3
2022-04-09 @ Nykobing L 3-473.1 1636 1380 61.41% 25.89% 12.70%+1.17 -15.7 0
2022-04-10 Esbjerg W 2-153.0 1214 1369 19.67% 29.88% 50.45%-0.59 +14.5 3
2022-04-10 @ Jammerbugt L 1-253.0 1369 1214 50.45% 29.88% 19.67%+0.59 -14.5 1
2022-04-10 Fredericia D 0-058.1 1574 1455 53.30% 29.06% 17.63%+0.97 -2.7 4
2022-04-10 @ Horsens D 0-058.1 1455 1574 17.63% 29.06% 53.30%-0.97 +2.7 4
2022-04-15 Fremad Amager D 1-154.1 1439 1320 53.45% 29.02% 17.53%+0.97 -2.4 5
2022-04-15 @ HB Koge D 1-154.1 1320 1439 17.53% 29.02% 53.45%-0.97 +2.4 4
2022-04-16 Horsens L 1-266.9 1618 1571 44.64% 31.08% 24.28%+0.56 -13.2 4
2022-04-16 @ Lyngby W 2-166.9 1571 1618 24.28% 31.08% 44.64%-0.56 +13.2 7
2022-04-17 Esbjerg D 0-048.6 1376 1355 41.38% 31.50% 27.12%+0.42 -1.0 4
2022-04-17 @ Vendsyssel D 0-048.6 1355 1376 27.12% 31.50% 41.38%-0.42 +1.0 2
2022-04-17 Helsingor W 4-054.2 1458 1620 19.04% 29.65% 51.31%-0.63 +55.8 7
2022-04-17 @ Fredericia L 0-454.2 1620 1458 51.31% 29.65% 19.04%+0.63 -55.8 0
2022-04-17 Jammerbugt W 1-035.6 1427 1229 61.75% 25.73% 12.52%+1.43 +4.8 5
2022-04-17 @ Hobro L 0-135.6 1229 1427 12.52% 25.73% 61.75%-1.43 -4.8 3
2022-04-18 Nykobing W 2-040.4 1522 1395 54.26% 28.76% 16.99%+1.02 +12.4 4
2022-04-18 @ Hvidovre L 0-240.4 1395 1522 16.99% 28.76% 54.26%-1.02 -12.4 3
2022-04-21 Hobro D 0-049.1 1322 1432 24.02% 31.03% 44.95%-0.34 +1.5 5
2022-04-21 @ Fremad Amager D 0-049.1 1432 1322 44.95% 31.03% 24.02%+0.34 -1.5 6
2022-04-22 Hvidovre L 1-263.8 1565 1535 42.50% 31.37% 26.13%+0.46 -12.7 0
2022-04-22 @ Helsingor W 2-163.8 1535 1565 26.13% 31.37% 42.50%-0.46 +12.7 7
2022-04-22 Lyngby L 1-356.9 1514 1604 26.24% 31.39% 42.37%-0.22 -15.5 7
2022-04-22 @ Fredericia W 3-156.9 1604 1514 42.37% 31.39% 26.24%+0.22 +15.5 7
2022-04-23 HB Koge D 0-049.7 1356 1437 27.35% 31.53% 41.12%-0.17 +1.0 3
2022-04-23 @ Esbjerg D 0-049.7 1437 1356 41.12% 31.53% 27.35%+0.17 -1.0 6
2022-04-23 Vendsyssel W 2-153.0 1224 1375 19.97% 29.99% 50.04%-0.57 +14.4 6
2022-04-23 @ Jammerbugt L 1-253.0 1375 1224 50.04% 29.99% 19.97%+0.57 -14.4 4
2022-04-24 Nykobing W 3-253.6 1584 1383 62.01% 25.61% 12.38%+1.44 +4.3 10
2022-04-24 @ Horsens L 2-353.6 1383 1584 12.38% 25.61% 62.01%-1.44 -4.3 3
2022-04-29 Esbjerg W 2-041.2 1324 1357 33.73% 31.86% 34.41%+0.10 +21.7 8
2022-04-29 @ Fremad Amager L 0-241.2 1357 1324 34.41% 31.86% 33.73%-0.10 -21.7 3
2022-04-29 Horsens L 0-156.7 1547 1588 32.56% 31.85% 35.59%+0.06 -11.1 7
2022-04-29 @ Hvidovre W 1-056.7 1588 1547 35.59% 31.85% 32.56%-0.06 +11.1 13
2022-04-30 Fredericia L 2-355.2 1379 1498 23.01% 30.82% 46.17%-0.39 -7.7 3
2022-04-30 @ Nykobing W 3-255.2 1498 1379 46.17% 30.82% 23.01%+0.39 +7.7 10
2022-04-30 Helsingor W 2-159.5 1620 1552 47.36% 30.59% 22.05%+0.68 +7.8 10
2022-04-30 @ Lyngby L 1-259.5 1552 1620 22.05% 30.59% 47.36%-0.68 -7.8 0
2022-04-30 Hobro L 0-144.3 1361 1431 28.76% 31.66% 39.58%-0.11 -10.2 4
2022-04-30 @ Vendsyssel W 1-044.3 1431 1361 39.58% 31.66% 28.76%+0.11 +10.2 9
2022-05-01 HB Koge L 0-332.7 1238 1436 16.31% 28.40% 55.28%-0.84 -17.4 6
2022-05-01 @ Jammerbugt W 3-032.7 1436 1238 55.28% 28.40% 16.31%+0.84 +17.4 9
2022-05-06 Fredericia W 2-156.9 1544 1506 43.55% 31.24% 25.21%+0.51 +8.7 3
2022-05-06 @ Helsingor L 1-256.9 1506 1544 25.21% 31.24% 43.55%-0.51 -8.7 10
2022-05-06 Lyngby W 2-164.7 1600 1628 34.44% 31.86% 33.70%+0.13 +10.7 16
2022-05-06 @ Horsens L 1-264.7 1628 1600 33.70% 31.86% 34.44%-0.13 -10.7 10
2022-05-07 Esbjerg W 2-145.5 1453 1335 53.31% 29.06% 17.63%+0.97 +6.4 12
2022-05-07 @ HB Koge L 1-245.5 1335 1453 17.63% 29.06% 53.31%-0.97 -6.4 3
2022-05-07 Fremad Amager D 1-154.4 1441 1345 50.70% 29.81% 19.48%+0.84 -2.1 10
2022-05-07 @ Hobro D 1-154.4 1345 1441 19.48% 29.81% 50.70%-0.84 +2.1 9
2022-05-07 Hvidovre W 2-159.1 1371 1536 18.79% 29.56% 51.65%-0.65 +14.8 6
2022-05-07 @ Nykobing L 1-259.1 1536 1371 51.65% 29.56% 18.79%+0.65 -14.8 7
2022-05-08 Jammerbugt W 4-137.4 1351 1221 54.59% 28.64% 16.77%+1.03 +15.0 7
2022-05-08 @ Vendsyssel L 1-437.4 1221 1351 16.77% 28.64% 54.59%-1.03 -15.0 6
2022-05-12 Hvidovre W 1-052.3 1617 1521 50.71% 29.81% 19.48%+0.84 +7.5 13
2022-05-12 @ Lyngby L 0-152.3 1521 1617 19.48% 29.81% 50.71%-0.84 -7.5 7
2022-05-13 HB Koge W 1-049.4 1347 1460 23.80% 30.99% 45.21%-0.35 +14.1 12
2022-05-13 @ Fremad Amager L 0-149.4 1460 1347 45.21% 30.99% 23.80%+0.35 -14.1 12
2022-05-13 Helsingor D 3-376.1 1610 1553 46.05% 30.84% 23.11%+0.62 -0.9 17
2022-05-13 @ Horsens D 3-376.1 1553 1610 23.11% 30.84% 46.05%-0.62 +0.9 4
2022-05-13 Nykobing W 5-141.4 1497 1386 52.56% 29.29% 18.15%+0.93 +20.9 13
2022-05-13 @ Fredericia L 1-541.4 1386 1497 18.15% 29.29% 52.56%-0.93 -20.9 6
2022-05-14 Hobro L 2-347.0 1206 1439 14.02% 26.95% 59.03%-1.04 -4.9 6
2022-05-14 @ Jammerbugt W 3-247.0 1439 1206 59.03% 26.95% 14.02%+1.04 +4.9 13
2022-05-15 Vendsyssel D 2-258.0 1328 1366 33.11% 31.86% 35.03%+0.08 +0.1 4
2022-05-15 @ Esbjerg D 2-258.0 1366 1328 35.03% 31.86% 33.11%-0.08 -0.1 8
2022-05-18 Fredericia W 3-155.3 1514 1518 37.79% 31.77% 30.44%+0.27 +17.3 10
2022-05-18 @ Hvidovre L 1-355.3 1518 1514 30.44% 31.77% 37.79%-0.27 -17.3 13
2022-05-18 Fremad Amager L 2-354.8 1328 1361 33.75% 31.86% 34.39%+0.10 -10.2 4
2022-05-18 @ Esbjerg W 3-254.8 1361 1328 34.39% 31.86% 33.75%-0.10 +10.2 15
2022-05-18 Horsens L 0-143.7 1365 1609 13.35% 26.44% 60.21%-1.11 -5.2 6
2022-05-18 @ Nykobing W 1-043.7 1609 1365 60.21% 26.44% 13.35%+1.11 +5.2 20
2022-05-18 Lyngby L 1-262.0 1554 1624 28.65% 31.65% 39.70%-0.11 -9.6 4
2022-05-18 @ Helsingor W 2-162.0 1624 1554 39.70% 31.65% 28.65%+0.11 +9.6 16
2022-05-19 Jammerbugt W 2-031.2 1445 1201 66.09% 23.53% 10.38%+1.69 +7.3 15
2022-05-19 @ HB Koge L 0-231.2 1201 1445 10.38% 23.53% 66.09%-1.69 -7.4 6
2022-05-19 Vendsyssel W 2-039.0 1444 1366 48.60% 30.33% 21.08%+0.74 +15.0 16
2022-05-19 @ Hobro L 0-239.0 1366 1444 21.08% 30.33% 48.60%-0.74 -15.0 8
2022-05-22 Esbjerg L 1-256.4 1459 1318 55.76% 28.24% 16.01%+1.09 -15.7 16
2022-05-22 @ Hobro W 2-156.4 1318 1459 16.01% 28.24% 55.76%-1.09 +15.7 7
2022-05-22 Fremad Amager W 3-258.8 1194 1372 17.77% 29.12% 53.11%-0.72 +14.3 9
2022-05-22 @ Jammerbugt L 2-358.8 1372 1194 53.11% 29.12% 17.77%+0.72 -14.3 15
2022-05-22 HB Koge D 1-154.3 1351 1453 24.90% 31.19% 43.91%-0.29 +1.2 9
2022-05-22 @ Vendsyssel D 1-154.3 1453 1351 43.91% 31.19% 24.90%+0.29 -1.2 16
2022-05-23 Helsingor W 2-051.4 1531 1544 36.58% 31.82% 31.59%+0.22 +20.5 13
2022-05-23 @ Hvidovre L 0-251.4 1544 1531 31.59% 31.82% 36.58%-0.22 -20.5 4
2022-05-23 Horsens L 0-447.6 1501 1615 23.66% 30.96% 45.38%-0.36 -31.4 13
2022-05-23 @ Fredericia W 4-047.6 1615 1501 45.38% 30.96% 23.66%+0.36 +31.4 23
2022-05-23 Lyngby D 1-162.2 1360 1634 11.80% 25.06% 63.14%-1.28 +3.6 7
2022-05-23 @ Nykobing D 1-162.2 1634 1360 63.14% 25.06% 11.80%+1.28 -3.6 17
2022-05-28 Hobro D 4-468.6 1452 1443 39.60% 31.66% 28.74%+0.34 -0.4 17
2022-05-28 @ HB Koge D 4-468.6 1443 1452 28.74% 31.66% 39.60%-0.34 +0.4 17
2022-05-28 Jammerbugt D 2-257.7 1334 1208 54.17% 28.78% 17.05%+1.01 -1.9 8
2022-05-28 @ Esbjerg D 2-257.7 1208 1334 17.05% 28.78% 54.17%-1.01 +1.9 10
2022-05-28 Vendsyssel L 1-446.2 1357 1352 39.16% 31.69% 29.15%+0.32 -29.2 15
2022-05-28 @ Fremad Amager W 4-146.2 1352 1357 29.15% 31.69% 39.16%-0.32 +29.2 12
2022-05-29 Fredericia W 1-048.9 1630 1470 57.92% 27.41% 14.67%+1.21 +5.7 20
2022-05-29 @ Lyngby L 0-148.9 1470 1630 14.67% 27.41% 57.92%-1.21 -5.7 13
2022-05-29 Hvidovre D 1-167.3 1646 1552 50.55% 29.86% 19.60%+0.83 -2.0 24
2022-05-29 @ Horsens D 1-167.3 1552 1646 19.60% 29.86% 50.55%-0.83 +2.0 14
2022-05-29 Nykobing L 2-365.0 1524 1363 57.88% 27.42% 14.69%+1.21 -15.4 4
2022-05-29 @ Helsingor W 3-265.0 1363 1524 14.69% 27.42% 57.88%-1.21 +15.4 10

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 2022-04-09 12.70% @ Nykobing 1380 4 Helsingor 1636 3
2 2022-03-11 12.85% Nykobing 1404 2 @ Lyngby 1596 1
3 2022-05-29 14.69% Nykobing 1363 3 @ Helsingor 1524 2
4 2022-05-22 16.01% Esbjerg 1318 2 @ Hobro 1459 1
5 2021-11-19 17.04% @ Hobro 1355 2 Hvidovre 1543 1
6 2022-05-22 17.77% @ Jammerbugt 1194 3 Fremad Amager 1372 2
7 2021-10-24 17.83% Fremad Amager 1340 3 @ Nykobing 1455 0
8 2021-09-24 18.44% @ HB Koge 1353 3 Fredericia 1522 0
9 2021-10-22 18.59% Jammerbugt 1309 1 @ Hobro 1416 0
10 2022-05-07 18.79% @ Nykobing 1371 2 Hvidovre 1536 1
11 2022-04-17 19.04% @ Fredericia 1458 4 Helsingor 1620 0
12 2022-04-10 19.67% @ Jammerbugt 1214 2 Esbjerg 1369 1
13 2022-04-03 19.71% Horsens 1558 1 @ Helsingor 1651 0
14 2022-04-23 19.97% @ Jammerbugt 1224 2 Vendsyssel 1375 1
15 2021-10-03 20.35% @ Nykobing 1427 3 Helsingor 1574 0
16 2021-08-29 20.71% Horsens 1486 2 @ Lyngby 1568 1
17 2021-07-23 21.77% HB Koge 1412 2 @ Horsens 1482 0
18 2021-11-01 23.20% @ HB Koge 1383 2 Horsens 1501 0
19 2022-02-26 23.66% Hobro 1359 3 @ Vendsyssel 1412 0
20 2022-05-13 23.80% @ Fremad Amager 1347 1 HB Koge 1460 0
21 2022-04-16 24.28% Horsens 1571 2 @ Lyngby 1618 1
22 2022-02-25 24.66% @ Fremad Amager 1310 4 Esbjerg 1415 2
23 2021-09-26 25.02% @ Jammerbugt 1317 1 Esbjerg 1418 0
24 2021-10-16 26.09% @ HB Koge 1377 1 Nykobing 1469 0
25 2022-04-22 26.13% Hvidovre 1535 2 @ Helsingor 1565 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 2022-04-17 55.79 @ Fredericia 4 1458 19.04% Helsingor 0 1620 51.31% 29.65%
2 2021-10-01 51.75 @ Hobro 5 1361 32.84% Fremad Amager 0 1400 35.30% 31.85%
3 2021-10-24 43.84 Fremad Amager 3 1340 17.83% @ Nykobing 0 1455 53.01% 29.16%
4 2021-09-24 43.26 @ HB Koge 3 1353 18.44% Fredericia 0 1522 52.15% 29.41%
5 2021-10-30 42.50 Nykobing 5 1411 41.80% @ Jammerbugt 0 1325 26.75% 31.45%
6 2021-10-03 41.50 @ Nykobing 3 1427 20.35% Helsingor 0 1574 49.54% 30.11%
7 2022-03-12 39.59 Helsingor 4 1607 35.74% @ Hvidovre 0 1565 32.41% 31.85%
8 2021-08-07 39.28 @ Lyngby 5 1501 44.82% Esbjerg 0 1454 24.13% 31.05%
9 2021-08-28 39.00 Helsingor 6 1522 50.77% @ Jammerbugt 0 1364 19.44% 29.80%
10 2022-02-26 38.71 Hobro 3 1359 23.66% @ Vendsyssel 0 1412 45.38% 30.96%
11 2021-08-01 34.62 Hvidovre 3 1434 29.14% @ HB Koge 0 1439 39.17% 31.69%
12 2021-11-28 34.49 @ Esbjerg 3 1392 29.32% Nykobing 0 1458 38.98% 31.70%
13 2021-11-19 32.31 @ HB Koge 3 1383 32.57% Esbjerg 0 1425 35.58% 31.85%
14 2021-10-29 31.95 Esbjerg 6 1395 29.18% @ Hobro 2 1400 39.13% 31.69%
15 2022-05-23 31.38 Horsens 4 1615 45.38% @ Fredericia 0 1501 23.66% 30.96%
16 2022-05-28 29.18 Vendsyssel 4 1352 29.15% @ Fremad Amager 1 1357 39.16% 31.69%
17 2021-10-31 28.33 @ Fredericia 4 1479 48.84% Vendsyssel 0 1399 20.88% 30.27%
18 2021-11-27 28.07 @ Hvidovre 5 1527 42.72% Fredericia 1 1496 25.93% 31.35%
19 2021-07-23 27.73 HB Koge 2 1412 21.77% @ Horsens 0 1482 47.71% 30.52%
20 2021-07-31 27.22 Horsens 4 1455 32.62% @ Fremad Amager 1 1434 35.52% 31.85%
21 2021-11-01 26.91 @ HB Koge 2 1383 23.20% Horsens 0 1501 45.94% 30.86%
22 2021-11-07 26.88 @ Vendsyssel 4 1374 33.24% HB Koge 1 1410 34.90% 31.86%
23 2021-08-09 26.39 Fredericia 3 1471 41.80% @ Jammerbugt 0 1385 26.74% 31.45%
24 2022-04-02 26.04 @ HB Koge 3 1413 42.35% Vendsyssel 0 1384 26.26% 31.39%
25 2021-11-07 25.73 @ Horsens 6 1475 52.40% Fremad Amager 1 1364 18.26% 29.34%

Most & Least Exciting Games

The season’s games ranked by excitement rating (0–100) — a blend of closeness, upset, team quality, and scoring. An asterisk (*) after the date indicates a playoff game.

# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2022-05-13 76.1 @ Horsens 3 1610 46.05% Helsingor 3 1553 23.11% 30.84%
2 2021-08-21 73.4 @ Helsingor 3 1514 30.84% Lyngby 3 1568 37.37% 31.79%
3 2022-04-09 73.1 @ Nykobing 4 1380 12.70% Helsingor 3 1636 61.41% 25.89%
4 2021-12-04 71.3 @ HB Koge 3 1419 18.55% Lyngby 3 1587 51.99% 29.46%
5 2021-09-12 68.7 @ Helsingor 2 1561 46.77% Hvidovre 2 1498 22.52% 30.71%
6 2022-05-28 68.6 @ HB Koge 4 1452 39.60% Hobro 4 1443 28.74% 31.66%
7 2021-08-01 68.4 @ Nykobing 4 1419 31.02% Fredericia 4 1471 37.18% 31.80%
8 2022-05-29 67.3 @ Horsens 1 1646 50.55% Hvidovre 1 1552 19.60% 29.86%
9 2022-04-16 66.9 Horsens 2 1571 24.28% @ Lyngby 1 1618 44.64% 31.08%
10 2021-09-24 65.9 @ Helsingor 2 1577 63.71% Hobro 2 1358 11.51% 24.77%
11 2022-05-29 65.0 Nykobing 3 1363 14.69% @ Helsingor 2 1524 57.88% 27.42%
12 2021-10-24 64.9 @ Vendsyssel 2 1398 19.70% Helsingor 2 1552 50.41% 29.89%
13 2022-05-06 64.7 @ Horsens 2 1600 34.44% Lyngby 1 1628 33.70% 31.86%
14 2022-03-11 64.2 Nykobing 2 1404 12.85% @ Lyngby 1 1596 61.12% 26.02%
15 2021-08-29 63.8 Horsens 2 1486 20.71% @ Lyngby 1 1568 49.07% 30.22%
16 2022-04-22 63.8 Hvidovre 2 1535 26.13% @ Helsingor 1 1565 42.50% 31.37%
17 2021-09-17 63.4 Helsingor 4 1560 32.61% @ Fredericia 2 1540 35.54% 31.85%
18 2022-04-03 63.4 Horsens 1 1558 19.71% @ Helsingor 0 1651 50.40% 29.89%
19 2021-08-30 63.0 @ Hvidovre 2 1500 52.13% Hobro 2 1392 18.45% 29.42%
20 2022-02-26 62.7 @ Lyngby 1 1585 55.51% Fredericia 1 1447 16.17% 28.32%
21 2022-05-23 62.2 @ Nykobing 1 1360 11.80% Lyngby 1 1634 63.14% 25.06%
22 2022-05-18 62.0 Lyngby 2 1624 39.70% @ Helsingor 1 1554 28.65% 31.65%
23 2021-11-26 61.9 @ Helsingor 1 1585 58.84% HB Koge 1 1416 14.13% 27.03%
24 2021-10-17 61.7 @ Lyngby 1 1583 58.91% Hobro 1 1413 14.09% 27.00%
25 2022-02-27 61.6 @ Horsens 2 1540 34.46% Hvidovre 1 1568 33.67% 31.86%
# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2022-03-18 29.7 @ Helsingor 3 1647 79.37% Jammerbugt 0 1237 5.23% 15.40%
2 2021-11-26 31.1 @ Lyngby 3 1579 71.62% Jammerbugt 0 1271 8.03% 20.35%
3 2022-05-19 31.2 @ HB Koge 2 1445 66.09% Jammerbugt 0 1201 10.38% 23.53%
4 2022-03-06 31.3 @ Fredericia 3 1450 61.07% Jammerbugt 0 1258 12.88% 26.05%
5 2022-05-01 32.7 HB Koge 3 1436 55.28% @ Jammerbugt 0 1238 16.31% 28.40%
6 2022-04-17 35.6 @ Hobro 1 1427 61.75% Jammerbugt 0 1229 12.52% 25.73%
7 2022-03-04 36.2 Lyngby 3 1583 61.00% @ Fremad Amager 0 1330 12.92% 26.08%
8 2021-10-30 37.4 Nykobing 5 1411 41.80% @ Jammerbugt 0 1325 26.75% 31.45%
9 2022-05-08 37.4 @ Vendsyssel 4 1351 54.59% Jammerbugt 1 1221 16.77% 28.64%
10 2021-11-27 37.6 @ Vendsyssel 2 1395 47.53% Fremad Amager 0 1326 21.91% 30.56%
11 2021-10-16 38.0 Hvidovre 2 1491 51.97% @ Jammerbugt 0 1323 18.57% 29.47%
12 2021-10-31 38.2 @ Fredericia 4 1479 48.84% Vendsyssel 0 1399 20.88% 30.27%
13 2022-04-02 38.5 @ HB Koge 3 1413 42.35% Vendsyssel 0 1384 26.26% 31.39%
14 2022-04-01 38.7 @ Fremad Amager 4 1320 49.84% Jammerbugt 1 1232 20.12% 30.03%
15 2021-08-28 38.9 Helsingor 6 1522 50.77% @ Jammerbugt 0 1364 19.44% 29.80%
16 2022-04-02 39.0 @ Lyngby 5 1597 61.50% Nykobing 0 1401 12.65% 25.85%
17 2022-05-19 39.0 @ Hobro 2 1444 48.60% Vendsyssel 0 1366 21.08% 30.33%
18 2021-11-20 39.1 Horsens 4 1500 57.21% @ Jammerbugt 1 1285 15.10% 27.69%
19 2022-04-09 39.2 @ Vendsyssel 2 1358 41.11% Fremad Amager 0 1338 27.36% 31.53%
20 2021-08-06 39.3 @ Hvidovre 3 1468 46.56% Fremad Amager 0 1407 22.69% 30.75%
21 2021-11-07 39.3 @ Horsens 6 1475 52.40% Fremad Amager 1 1364 18.26% 29.34%
22 2022-03-12 39.3 Vendsyssel 1 1384 48.61% @ Jammerbugt 0 1245 21.06% 30.33%
23 2022-03-18 39.9 Lyngby 3 1580 54.81% @ Esbjerg 0 1386 16.62% 28.57%
24 2021-09-18 40.0 Horsens 3 1481 43.25% @ Hobro 0 1384 25.47% 31.28%
25 2021-08-09 40.2 Fredericia 3 1471 41.80% @ Jammerbugt 0 1385 26.74% 31.45%