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1990 1st Division Season

182 games

Final

Champion

Brondby

42 points · 4th Title

Last Title: 1988

Relegated

KB Copenhagen

14 pts

Viborg · 15 pts

Herfolge · 18 pts

Naestved · 23 pts

Biggest Overachiever

Brondby

5.94 points above expected

42 points · 36.06 expected points

Biggest Disappointment

Viborg

4.39 points below expected

14 points · 18.39 expected points

League Table

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

# Team GP W D L Pts GF GA GD SimPts vsSim
1 Brondby Champion 26 17 8 1 42 50 16 +34 36.06 +5.94
2 B 1903 26 10 11 5 31 44 27 +17 29.83 +1.17
3 Ikast 26 11 8 7 30 38 27 +11 24.83 +5.17
4 Silkeborg 26 11 8 7 30 35 26 +9 28.52 +1.48
5 Frem 26 7 15 4 29 33 25 +8 28.47 +0.53
6 Lyngby 26 10 8 8 28 44 30 +14 30.01 -2.01
7 Aarhus GF 26 9 10 7 28 31 25 +6 29.18 -1.18
8 Odense 26 9 9 8 27 32 28 +4 28.44 -1.44
9 Vejle BK 26 8 10 8 26 32 32 0 28.07 -2.07
10 Aalborg 26 8 10 8 26 32 34 -2 23.37 +2.63
11 Naestved Relegated 26 6 10 10 22 20 34 -14 24.42 -2.42
12 Herfolge Relegated 26 4 9 13 17 21 47 -26 19.52 -2.52
13 KB Copenhagen Relegated 26 4 6 16 14 24 52 -28 14.88 -0.88
14 Viborg Relegated 26 5 4 17 14 19 52 -33 18.39 -4.39

Notes

  • Aalborg won the promotion/relegation playoff over B 1909 by an aggregate score of 10-5 to retain their place in the Superliga.
  • Vejle BK won the promotion/relegation playoff over B 1913 by an aggregate score of 1-1 (4-3) to retain their place in the Superliga.

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.

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
Brondby 1772 42 36.06 +5.94 97.0% 22 30 34 36 39 42 48
Lyngby 1679 28 30.01 -2.01 34.4% 15 24 27 30 33 36 45
B 1903 1612 31 29.83 +1.17 67.3% 14 24 27 30 32 36 44
Odense 1587 27 28.44 -1.44 40.4% 14 22 26 28 31 35 43
Aarhus GF 1581 28 29.18 -1.18 42.3% 16 23 27 29 32 35 44
Silkeborg 1575 30 28.52 +1.48 70.2% 15 22 26 28 31 35 42
Ikast 1572 30 24.83 +5.17 93.2% 9 19 22 25 27 31 41
Frem 1569 29 28.47 +0.53 60.8% 15 22 26 28 31 35 41
Vejle BK 1548 26 28.07 -2.07 33.5% 11 22 26 28 31 34 42
Aalborg 1504 26 23.37 +2.63 79.5% 7 17 21 23 26 29 38
Naestved 1412 22 24.42 -2.42 30.3% 10 18 22 24 27 30 40
Herfolge 1317 17 19.52 -2.52 29.8% 7 14 17 19 22 26 33
Viborg 1309 14 18.39 -4.39 14.3% 5 12 16 18 21 24 32
KB Copenhagen 1269 14 14.88 -0.88 46.9% 4 9 12 15 17 21 30

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 B1 BRO FRE HER IKA KC LYN NAE ODE SIL VB VIB
Aalborg —
2-0-0
2.22
1-0-1
1.75
0-1-1
1.32
1-1-0
1.96
0-2-0
3.43
0-1-1
2.50
1-0-1
3.67
0-1-1
1.88
2-0-0
2.31
0-1-1
2.14
0-1-1
1.94
0-1-1
2.16
1-1-0
3.28
Aarhus GF
0-0-2
3.08
 —
0-1-1
2.82
0-1-1
1.85
0-2-0
2.76
1-1-0
3.85
1-1-0
3.19
2-0-0
4.09
1-0-1
2.61
0-1-1
3.15
0-2-0
2.80
1-1-0
2.42
1-0-1
2.76
2-0-0
3.83
B 1903
1-0-1
3.54
1-1-0
2.47
 —
0-1-1
2.08
0-2-0
2.89
2-0-0
3.64
0-1-1
3.31
1-1-0
4.21
1-1-0
2.58
1-1-0
3.49
1-1-0
2.76
1-0-1
2.76
0-2-0
2.78
1-0-1
3.68
Brondby
1-1-0
4.05
1-1-0
3.43
1-1-0
3.22
 —
1-0-1
3.46
1-1-0
4.53
1-1-0
3.77
2-0-0
4.72
2-0-0
3.62
1-1-0
3.91
2-0-0
3.45
1-1-0
3.69
1-1-0
3.69
2-0-0
4.17
Frem
0-1-1
3.32
0-2-0
2.54
0-2-0
2.39
1-0-1
1.85
 —
0-2-0
3.51
1-1-0
2.95
1-1-0
4.09
0-1-1
2.42
0-2-0
3.40
1-1-0
2.36
1-0-1
2.67
0-2-0
2.63
2-0-0
3.98
Herfolge
0-2-0
1.86
0-1-1
1.48
0-0-2
1.66
0-1-1
0.91
0-2-0
1.79
 —
1-0-1
2.25
0-1-1
3.43
0-0-2
1.48
0-1-1
1.92
1-0-1
1.77
0-1-1
1.70
1-0-1
1.84
1-0-1
2.74
Ikast
1-1-0
2.76
0-1-1
2.08
1-1-0
1.97
0-1-1
1.54
0-1-1
2.32
1-0-1
3.03
 —
1-1-0
3.91
1-0-1
2.08
1-1-0
2.88
1-1-0
2.09
1-0-1
2.27
1-0-1
2.24
2-0-0
3.50
KB Copenhagen
1-0-1
1.66
0-0-2
1.29
0-1-1
1.18
0-0-2
0.79
0-1-1
1.29
1-1-0
1.87
0-1-1
1.42
 —
0-1-1
1.18
1-0-1
1.36
0-0-2
1.32
0-0-2
1.24
1-0-1
1.34
0-1-1
2.25
Lyngby
1-1-0
3.41
1-0-1
2.66
0-1-1
2.69
0-0-2
1.68
1-1-0
2.85
2-0-0
3.84
1-0-1
3.22
1-1-0
4.20
 —
1-1-0
3.47
1-1-0
2.69
0-1-1
2.89
0-1-1
2.86
1-0-1
3.95
Naestved
0-0-2
2.97
1-1-0
2.13
0-1-1
1.80
0-1-1
1.41
0-2-0
1.89
1-1-0
3.36
0-1-1
2.40
1-0-1
3.99
0-1-1
1.82
 —
1-0-1
2.10
0-1-1
2.41
1-0-1
2.26
1-1-0
3.56
Odense
1-1-0
3.16
0-2-0
2.47
0-1-1
2.53
0-0-2
1.87
0-1-1
2.93
1-0-1
3.56
0-1-1
3.18
2-0-0
4.03
0-1-1
2.58
1-0-1
3.18
 —
2-0-0
2.34
0-2-0
2.68
2-0-0
3.53
Silkeborg
1-1-0
3.34
0-1-1
2.85
1-0-1
2.51
0-1-1
1.62
1-0-1
2.60
1-1-0
3.64
1-0-1
3.03
2-0-0
4.12
1-1-0
2.40
1-1-0
2.86
0-0-2
2.94
 —
1-1-0
2.42
1-1-0
3.77
Vejle BK
1-1-0
3.14
1-0-1
2.52
0-2-0
2.51
0-1-1
1.64
0-2-0
2.64
1-0-1
3.46
1-0-1
3.03
1-0-1
4.01
1-1-0
2.43
1-0-1
3.02
0-2-0
2.59
0-1-1
2.85
 —
1-0-1
3.73
Viborg
0-1-1
2.00
0-0-2
1.52
1-0-1
1.66
0-0-2
1.23
0-0-2
1.35
1-0-1
2.53
0-0-2
1.82
1-1-0
3.02
1-0-1
1.40
0-1-1
1.74
0-0-2
1.77
0-1-1
1.55
1-0-1
1.59
 —

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 0.79 +7.0
Allowed 0.92 -6.7
Differential 0.96 +3.8

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
012.64%8.52%6.32%1.65%1.65%0.82%31.59%
18.52%12.09%7.14%3.02%1.37%0.82%32.97%
26.32%7.14%8.24%0.82%0.27%0.27%23.08%
31.65%3.02%0.82%1.65%——7.14%
41.65%1.37%0.27%———3.30%
5+0.82%0.82%0.27%———1.92%
Total31.59%32.97%23.08%7.14%3.30%1.92%100%

Summary Statistics

Scored Allowed Difference
Mean 1.25 1.25 +0.00
SD 1.24 1.24 1.80
CV 0.99 0.99 —
Max 7 7 +7
Min 0 0 -7

Games Played: 182

↓ Scored | Allowed →012345+Total
03.85%11.54%——3.85%—19.23%
111.54%15.38%11.54%3.85%——42.31%
27.69%11.54%15.38%———34.62%
3———3.85%——3.85%
4———————
5+———————
Total23.08%38.46%26.92%7.69%3.85%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.23 1.31 -0.08
SD 0.82 1.05 1.26
CV 0.66 0.80 —
Max 3 4 +2
Min 0 0 -4

Games Played: 26

↓ Scored | Allowed →012345+Total
019.23%—3.85%———23.08%
119.23%15.38%11.54%3.85%3.85%—53.85%
23.85%—3.85%3.85%——11.54%
3—3.85%————3.85%
47.69%—————7.69%
5+———————
Total50.00%19.23%19.23%7.69%3.85%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.19 0.96 +0.23
SD 1.10 1.18 1.61
CV 0.92 1.23 —
Max 4 4 +4
Min 0 0 -3

Games Played: 26

↓ Scored | Allowed →012345+Total
015.38%—————15.38%
13.85%11.54%11.54%7.69%——34.62%
215.38%7.69%11.54%———34.62%
33.85%——3.85%——7.69%
4—3.85%————3.85%
5+3.85%—————3.85%
Total42.31%23.08%23.08%11.54%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.69 1.04 +0.65
SD 1.46 1.08 1.85
CV 0.86 1.04 —
Max 7 3 +7
Min 0 0 -2

Games Played: 26

↓ Scored | Allowed →012345+Total
015.38%3.85%————19.23%
111.54%7.69%————19.23%
215.38%3.85%7.69%———26.92%
37.69%7.69%3.85%———19.23%
43.85%7.69%3.85%———15.38%
5+———————
Total53.85%30.77%15.38%———100%

Summary Statistics

Scored Allowed Difference
Mean 1.92 0.62 +1.31
SD 1.35 0.75 1.29
CV 0.70 1.22 —
Max 4 2 +4
Min 0 0 -1

Games Played: 26

↓ Scored | Allowed →012345+Total
011.54%7.69%—3.85%——23.08%
17.69%34.62%3.85%———46.15%
27.69%3.85%7.69%———19.23%
3—3.85%—3.85%——7.69%
4———————
5+3.85%—————3.85%
Total30.77%50.00%11.54%7.69%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.27 0.96 +0.31
SD 1.15 0.87 1.41
CV 0.91 0.91 —
Max 5 3 +5
Min 0 0 -3

Games Played: 26

↓ Scored | Allowed →012345+Total
015.38%15.38%3.85%—7.69%—42.31%
111.54%11.54%11.54%—3.85%3.85%42.31%
2—3.85%———3.85%7.69%
3———7.69%——7.69%
4———————
5+———————
Total26.92%30.77%15.38%7.69%11.54%7.69%100%

Summary Statistics

Scored Allowed Difference
Mean 0.81 1.81 -1.00
SD 0.90 1.90 1.81
CV 1.11 1.05 —
Max 3 7 +1
Min 0 0 -6

Games Played: 26

↓ Scored | Allowed →012345+Total
07.69%11.54%7.69%3.85%——30.77%
111.54%15.38%3.85%———30.77%
23.85%3.85%7.69%———15.38%
3—7.69%3.85%———11.54%
43.85%3.85%————7.69%
5+—3.85%————3.85%
Total26.92%46.15%23.08%3.85%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.46 1.04 +0.42
SD 1.45 0.82 1.72
CV 0.99 0.79 —
Max 5 3 +4
Min 0 0 -3

Games Played: 26

↓ Scored | Allowed →012345+Total
07.69%11.54%11.54%3.85%11.54%3.85%50.00%
13.85%3.85%15.38%3.85%——26.92%
2—7.69%7.69%———15.38%
3———3.85%——3.85%
4———————
5+——3.85%———3.85%
Total11.54%23.08%38.46%11.54%11.54%3.85%100%

Summary Statistics

Scored Allowed Difference
Mean 0.92 2.00 -1.08
SD 1.35 1.30 1.94
CV 1.47 0.65 —
Max 6 5 +4
Min 0 0 -5

Games Played: 26

↓ Scored | Allowed →012345+Total
07.69%7.69%7.69%———23.08%
17.69%3.85%7.69%———19.23%
211.54%3.85%19.23%7.69%——42.31%
33.85%3.85%————7.69%
4———————
5+3.85%3.85%————7.69%
Total34.62%23.08%34.62%7.69%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.69 1.15 +0.54
SD 1.46 1.01 1.86
CV 0.86 0.87 —
Max 6 3 +6
Min 0 0 -2

Games Played: 26

↓ Scored | Allowed →012345+Total
026.92%7.69%7.69%3.85%—3.85%50.00%
13.85%7.69%3.85%7.69%3.85%—26.92%
211.54%3.85%3.85%———19.23%
3——3.85%———3.85%
4———————
5+———————
Total42.31%19.23%19.23%11.54%3.85%3.85%100%

Summary Statistics

Scored Allowed Difference
Mean 0.77 1.31 -0.54
SD 0.91 1.54 1.79
CV 1.18 1.18 —
Max 3 6 +2
Min 0 0 -6

Games Played: 26

↓ Scored | Allowed →012345+Total
015.38%7.69%15.38%7.69%——46.15%
17.69%15.38%————23.08%
2—7.69%3.85%———11.54%
3—11.54%————11.54%
43.85%—————3.85%
5+—3.85%————3.85%
Total26.92%46.15%19.23%7.69%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.23 1.08 +0.15
SD 1.68 0.89 2.03
CV 1.37 0.83 —
Max 7 3 +6
Min 0 0 -3

Games Played: 26

↓ Scored | Allowed →012345+Total
07.69%11.54%7.69%———26.92%
111.54%11.54%3.85%3.85%——30.77%
23.85%15.38%11.54%———30.77%
33.85%—————3.85%
43.85%3.85%————7.69%
5+———————
Total30.77%42.31%23.08%3.85%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.35 1.00 +0.35
SD 1.16 0.85 1.52
CV 0.86 0.85 —
Max 4 3 +4
Min 0 0 -2

Games Played: 26

↓ Scored | Allowed →012345+Total
011.54%7.69%3.85%———23.08%
13.85%15.38%11.54%—3.85%—34.62%
27.69%15.38%11.54%—3.85%—38.46%
33.85%—————3.85%
4———————
5+———————
Total26.92%38.46%26.92%—7.69%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.23 1.23 +0.00
SD 0.86 1.11 1.33
CV 0.70 0.90 —
Max 3 4 +3
Min 0 0 -3

Games Played: 26

↓ Scored | Allowed →012345+Total
011.54%15.38%19.23%——3.85%50.00%
13.85%—3.85%11.54%3.85%7.69%30.77%
2—11.54%3.85%———15.38%
3—3.85%————3.85%
4———————
5+———————
Total15.38%30.77%26.92%11.54%3.85%11.54%100%

Summary Statistics

Scored Allowed Difference
Mean 0.73 2.00 -1.27
SD 0.87 1.72 1.93
CV 1.20 0.86 —
Max 3 7 +2
Min 0 0 -7

Games Played: 26

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 Brondby 42 36.06 +5.94
2 Ikast 30 24.83 +5.17
3 Aalborg 26 23.37 +2.63
4 Silkeborg 30 28.52 +1.48
5 B 1903 31 29.83 +1.17

Biggest Disappointments

# Team Actual Sim vsSim
1 Viborg 14 18.39 -4.39
2 Herfolge 17 19.52 -2.52
3 Naestved 22 24.42 -2.42
4 Vejle BK 26 28.07 -2.07
5 Lyngby 28 30.01 -2.01

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 10 Jun 4 – Sep 23 1 in 365
2 Odense 5 Sep 15 – Oct 14 1 in 74
3 KB Copenhagen 2 Apr 29 – May 6 1 in 66
4 Ikast 2 Apr 22 – Apr 29 1 in 40
5 Frem 2 Apr 8 – Apr 15 1 in 25

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Herfolge 7 Sep 2 – Oct 14 1 in 716
2 Naestved 3 May 6 – May 20 1 in 320
3 Lyngby 4 Apr 29 – May 20 1 in 266
4 Odense 3 Apr 8 – Apr 22 1 in 98
5 Viborg 6 Sep 30 – Nov 4 1 in 31

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Brondby 24 Apr 16 – Nov 11 1 in 42
2 Silkeborg 9 Apr 1 – May 27 1 in 17
3 KB Copenhagen 3 Sep 9 – Sep 23 1 in 15
4 Odense 9 Sep 15 – Nov 11 1 in 15
5 Aarhus GF 8 Apr 22 – Jul 29 1 in 14

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Aarhus GF 11 Jul 29 – Oct 7 1 in 83
2 Vejle BK 10 Apr 22 – Aug 12 1 in 67
3 Odense 7 Apr 1 – May 13 1 in 41
4 Lyngby 6 Apr 16 – May 20 1 in 18
5 Herfolge 13 Aug 19 – Nov 11 1 in 15

Finish Position Heatmap

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

Team1234567891011121314
Brondby69.61%16.05%7.00%3.32%1.84%1.21%0.58%0.19%0.14%0.05%0.01%———
B 19036.45%17.03%15.77%13.30%11.95%10.28%8.05%7.20%4.65%2.89%1.60%0.58%0.25%—
Ikast0.61%1.85%3.38%4.64%6.14%7.88%9.90%11.55%14.74%14.82%13.08%7.54%3.24%0.63%
Silkeborg3.45%9.71%10.95%11.85%12.15%12.35%10.77%9.51%8.17%6.16%3.12%1.35%0.37%0.09%
Frem2.97%9.24%11.21%12.01%12.01%11.29%12.03%10.17%7.97%6.01%3.18%1.35%0.51%0.05%
Lyngby6.77%17.25%15.66%13.70%11.67%10.22%8.11%6.89%4.36%3.17%1.40%0.66%0.14%—
Aarhus GF4.50%11.09%13.21%12.88%12.77%11.74%10.42%8.45%6.40%4.64%2.75%0.81%0.30%0.04%
Odense2.92%9.22%10.78%11.39%11.62%11.40%11.23%10.25%8.67%6.44%4.11%1.42%0.49%0.06%
Vejle BK2.26%7.11%8.93%10.98%11.60%12.08%11.78%11.17%9.60%6.99%4.80%1.94%0.64%0.12%
Aalborg0.16%0.54%1.02%2.25%3.02%4.60%6.91%9.61%13.31%17.38%20.03%13.65%5.78%1.74%
Naestved0.29%0.89%1.99%3.34%4.56%5.92%8.27%10.79%14.73%16.85%16.35%10.51%4.55%0.96%
Herfolge0.01%0.01%0.09%0.24%0.45%0.73%1.21%2.45%4.27%8.24%15.23%28.19%26.64%12.24%
KB Copenhagen———0.01%—0.01%0.07%0.13%0.31%1.25%2.89%9.05%23.73%62.55%
Viborg—0.01%0.01%0.09%0.22%0.29%0.67%1.64%2.68%5.11%11.45%22.95%33.36%21.52%

Points Required Per Position

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

Points Totals in Context

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

Season Trends

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

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 5% * Slight Edge: 5% to 15% * Clear Edge: 15% to 25% * Strong Edge: 25% 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
+17.03%
Clear Edge
41.21%34.62%24.18%
Elo Value
Home Edge
191 Elo
0.005 goals per Elo point
059.76500
Scoring Tilt
Expected
+0.34 goals
Neutral
-2+0.31+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 4 * Open: 4 to 6 * Wide Open: 6 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 to 3rd * Middle of the Pack: 4th to 7th * Longshot: 8th 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 0.15 * Tight Race: 0.15 to 0.4 * Comfortable: 0.4 to 0.75 * Runaway: 0.75 and up.
Title-Race Openness
2.0
Top-Heavy
124610
Champion Preseason Odds
70%
Brondby, 1st of 14
LongshotFavorite
Title Margin
Expected
0.42/gm
Comfortable
00.130.6/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 2.97 * Some Luck: 2.97 to 4.45 * Lucky: 4.45 to 5.93 * Wild Swing: 5.93 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 1.59 * Close: 1.59 to 2.38 * Off: 2.38 to 3.17 * Way Off: 3.17 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 14 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 14 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 14 * As Expected: 14 to 22.4 * Several Outliers: 22.4 to 30.8 * Many Outliers: 30.8 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 3.43 * A Surprise: 3.43 to 5.48 * Several Surprises: 5.48 to 7.54 * Many Surprises: 7.54 and up.
Luck Spread
Expected
2.89 points
As Expected
03.719
Average Finish Error
Expected
1.57
Pinpoint
01.984
Biggest Overachiever
Expected 96.43%
97.00%
Brondby
50100
Biggest Underachiever
Expected 3.57%
14.30%
Viborg
050
Season Outliers
Expected
1 of 14
Minimal Outliers
01.47
Unexpected Relegations
Expected
2 of 4
As Expected
03.44

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 0.12 * Even: 0.12 to 0.18 * Top-Heavy: 0.18 to 0.26 * Lopsided: 0.26 and up.
Noll-Scully
How much more spread out the table was than a league where every match is a coin flip. The gold line at 1 is that coin-flip baseline. Above it, real talent gaps stretched the table; below it, the league was tighter than luck alone would produce.
Coin-Flip Parity: under 1 * Moderate Separation: 1 to 1.6 * Strong Separation: 1.6 to 2.2 * Wide Separation: 2.2 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 60% * Slight Edge: 60% to 70% * Clear Edge: 70% to 80% * Wide Edge: 80% 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 70% * Clear Edge: 70% to 82% * Strong Edge: 82% to 92% * Dominant: 92% 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 30% * Some Drama: 30% to 40% * Frequent: 40% to 50% * Very Frequent: 50% 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 8% * Occasional: 8% to 14% * Frequent: 14% to 22% * Very Frequent: 22% and up.
Gini Index
0.15
Even
00.120.180.260.5
Noll-Scully
Coin-flip
1.46
Moderate Separation
01.003
Interquartile Edge
70%
Clear Edge
50%60%70%80%100%
Best vs. Worst
Baseline 95%
95%
Dominant
50%100%
Close Games
Expected
68%
Very Frequent
0%59%100%
Blowouts
Expected
13%
Occasional
0%17%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 0.1 * Slight Separation: 0.1 to 0.18 * Notable Separation: 0.18 to 0.28 * Lopsided: 0.28 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 0.3 * Some Carryover: 0.3 to 0.6 * Strong Carryover: 0.6 to 0.85 * Near-Lock: 0.85 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 25% * As Expected: 25% to 33% * Upset-Prone: 33% to 42% * Very Upset-Prone: 42% 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% * As Expected: 15% to 25% * Shaky Favorites: 25% to 35% * Very Shaky: 35% and up.
Brier Score
Expected
0.60
Predictable
00.602
Matchup Imbalance
0.46
Lopsided
00.10.180.280.5
Strangeness
Expected
0.62
Very Predictable
01.002
Repeatability
0.56
Some Carryover
00.30.60.851
Upset Rate
Expected
18%
Chalky
0%17%50%
Clear Favorite Upset Rate
Expected
14%
Solid Favorites
0%15%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 0.13 * Near Noise Ceiling: 0.13 to 0.19 * Above Noise: 0.19 to 0.26 * Well Above Noise: 0.26 and up.
Probability calibration
0.20
Well Calibrated
0.010.050.10.51
Calibration slope
Ideal
0.95
Calibrated
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.107
Well Within Noise
00.1300.3

Next-Season Status

Across 100,000 regular-season simulations, the probability of each team's next-season status. Columns appear in best-to-worst outcome order: promotion-positive on the left, relegation-positive on the right. Cells with darker shading indicate higher likelihood.

Team Same level Qualified for relegation playoff Direct relegation
Brondby 99.81% 0.14% 0.05%
KB Copenhagen 98.44% 0.31% 1.25%
B 1903 92.46% 4.65% 2.89%
Lyngby 92.47% 4.36% 3.17%
Aarhus GF 88.96% 6.40% 4.64%
Viborg 92.21% 2.68% 5.11%
Frem 86.02% 7.97% 6.01%
Silkeborg 85.67% 8.17% 6.16%
Odense 84.89% 8.67% 6.44%
Vejle BK 83.41% 9.60% 6.99%
Herfolge 87.49% 4.27% 8.24%
Ikast 70.44% 14.74% 14.82%
Naestved 68.42% 14.73% 16.85%
Aalborg 69.31% 13.31% 17.38%

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
1990-04-01 Frem D 1-1 1616 1511 53.93% 34.51% 11.57% -3.4 1
1990-04-01 @ Aarhus GF D 1-1 1511 1616 11.57% 34.51% 53.93% +3.4 1
1990-04-01 Naestved D 0-0 1616 1518 53.35% 34.67% 11.97% -3.7 1
1990-04-01 @ Brondby D 0-0 1518 1616 11.97% 34.67% 53.35% +3.7 1
1990-04-01 Ikast D 2-2 1532 1472 49.88% 35.51% 14.61% -2.0 1
1990-04-01 @ B 1903 D 2-2 1472 1532 14.61% 35.51% 49.88% +2.0 1
1990-04-01 Viborg W 1-0 1425 1421 44.09% 36.35% 19.57% +9.2 2
1990-04-01 @ Herfolge L 0-1 1421 1425 19.57% 36.35% 44.09% -9.3 0
1990-04-01 Silkeborg L 1-2 1629 1530 53.38% 34.67% 11.96% -18.0 0
1990-04-01 @ Lyngby W 2-1 1530 1629 11.96% 34.67% 53.38% +18.0 2
1990-04-01 Aalborg D 1-1 1641 1469 59.16% 32.54% 8.30% -4.2 1
1990-04-01 @ Odense D 1-1 1469 1641 8.30% 32.54% 59.16% +4.2 1
1990-04-01 KB Copenhagen W 2-0 1591 1337 64.69% 29.59% 5.72% +5.7 2
1990-04-01 @ Vejle BK L 0-2 1337 1591 5.72% 29.59% 64.69% -5.7 0
1990-04-08 Lyngby L 0-1 1473 1611 25.79% 36.24% 37.97% -11.1 1
1990-04-08 @ Aalborg W 1-0 1611 1473 37.97% 36.24% 25.79% +11.1 2
1990-04-08 Brondby W 1-0 1514 1613 30.93% 36.59% 32.48% +12.9 3
1990-04-08 @ Frem L 0-1 1613 1514 32.48% 36.59% 30.93% -12.9 1
1990-04-08 Aarhus GF L 0-1 1474 1612 25.77% 36.23% 37.99% -11.1 1
1990-04-08 @ Ikast W 1-0 1612 1474 37.99% 36.23% 25.77% +11.1 3
1990-04-08 Herfolge D 0-0 1332 1434 30.41% 36.57% 33.02% +0.2 1
1990-04-08 @ KB Copenhagen D 0-0 1434 1332 33.02% 36.57% 30.41% -0.2 3
1990-04-08 Odense W 2-0 1522 1637 28.70% 36.47% 34.83% +25.5 3
1990-04-08 @ Naestved L 0-2 1637 1522 34.83% 36.47% 28.70% -25.5 1
1990-04-08 Vejle BK D 2-2 1548 1597 37.76% 36.69% 25.56% -0.6 3
1990-04-08 @ Silkeborg D 2-2 1597 1548 25.56% 36.69% 37.76% +0.6 3
1990-04-08 B 1903 W 2-1 1411 1530 28.24% 36.44% 35.31% +12.9 2
1990-04-08 @ Viborg L 1-2 1530 1411 35.31% 36.44% 28.24% -12.9 1
1990-04-15 Frem L 0-2 1611 1527 52.16% 34.99% 12.85% -35.2 1
1990-04-15 @ Odense W 2-0 1527 1611 12.85% 34.99% 52.16% +35.2 5
1990-04-16 B 1903 L 1-4 1623 1517 54.05% 34.47% 11.48% -44.6 3
1990-04-16 @ Aarhus GF W 4-1 1517 1623 11.48% 34.47% 54.05% +44.6 3
1990-04-16 Ikast W 2-0 1600 1463 56.49% 33.64% 9.87% +10.1 3
1990-04-16 @ Brondby L 0-2 1463 1600 9.87% 33.64% 56.49% -10.1 1
1990-04-16 Silkeborg D 1-1 1434 1548 28.80% 36.48% 34.72% +0.4 4
1990-04-16 @ Herfolge D 1-1 1548 1434 34.72% 36.48% 28.80% -0.4 4
1990-04-16 Viborg D 2-2 1332 1424 31.77% 36.63% 31.61% -0.0 2
1990-04-16 @ KB Copenhagen D 2-2 1424 1332 31.61% 36.63% 31.77% +0.0 3
1990-04-16 Naestved D 2-2 1622 1547 51.26% 35.21% 13.52% -2.2 3
1990-04-16 @ Lyngby D 2-2 1547 1622 13.52% 35.21% 51.26% +2.2 4
1990-04-16 Aalborg W 2-1 1597 1462 56.41% 33.67% 9.92% +5.1 5
1990-04-16 @ Vejle BK L 1-2 1462 1597 9.92% 33.67% 56.41% -5.1 1
1990-04-22 Herfolge D 1-1 1457 1434 46.17% 36.12% 17.72% -2.1 2
1990-04-22 @ Aalborg D 1-1 1434 1457 17.72% 36.12% 46.17% +2.1 5
1990-04-22 Brondby L 1-3 1562 1610 37.78% 36.69% 25.53% -23.4 3
1990-04-22 @ B 1903 W 3-1 1610 1562 25.53% 36.69% 37.78% +23.4 5
1990-04-22 Lyngby D 0-0 1562 1620 36.58% 36.70% 26.72% -0.8 6
1990-04-22 @ Frem D 0-0 1620 1562 26.72% 36.70% 36.58% +0.8 4
1990-04-22 Odense W 1-0 1453 1576 27.64% 36.40% 35.96% +13.8 3
1990-04-22 @ Ikast L 0-1 1576 1453 35.96% 36.40% 27.64% -13.8 1
1990-04-22 Vejle BK W 2-0 1550 1602 37.17% 36.69% 26.14% +21.2 6
1990-04-22 @ Naestved L 0-2 1602 1550 26.14% 36.69% 37.17% -21.2 5
1990-04-22 KB Copenhagen W 4-0 1547 1332 62.18% 31.03% 6.78% +13.2 6
1990-04-22 @ Silkeborg L 0-4 1332 1547 6.78% 31.03% 62.18% -13.2 2
1990-04-22 Aarhus GF L 0-1 1424 1579 23.82% 36.01% 40.17% -10.5 3
1990-04-22 @ Viborg W 1-0 1579 1424 40.17% 36.01% 23.82% +10.5 5
1990-04-29 Aarhus GF D 1-1 1633 1589 48.36% 35.79% 15.85% -2.5 6
1990-04-29 @ Brondby D 1-1 1589 1633 15.85% 35.79% 48.36% +2.5 6
1990-04-29 Naestved L 0-1 1436 1571 26.17% 36.27% 37.56% -11.2 5
1990-04-29 @ Herfolge W 1-0 1571 1436 37.56% 36.27% 26.17% +11.2 8
1990-04-29 Aalborg W 2-1 1319 1455 25.99% 36.25% 37.76% +13.5 4
1990-04-29 @ KB Copenhagen L 1-2 1455 1319 37.76% 36.25% 25.99% -13.5 2
1990-04-29 Ikast L 2-3 1620 1467 57.78% 33.14% 9.08% -18.3 4
1990-04-29 @ Lyngby W 3-2 1467 1620 9.08% 33.14% 57.78% +18.3 5
1990-04-29 B 1903 D 0-0 1562 1538 46.31% 36.10% 17.60% -2.4 2
1990-04-29 @ Odense D 0-0 1538 1562 17.60% 36.10% 46.31% +2.4 4
1990-04-29 Viborg W 1-0 1561 1414 57.27% 33.34% 9.39% +5.1 8
1990-04-29 @ Silkeborg L 0-1 1414 1561 9.39% 33.34% 57.27% -5.1 3
1990-04-29 Frem D 1-1 1581 1561 45.84% 36.16% 18.00% -2.1 6
1990-04-29 @ Vejle BK D 1-1 1561 1581 18.00% 36.16% 45.84% +2.1 7
1990-05-06 Silkeborg D 1-1 1441 1566 27.47% 36.38% 36.14% +0.6 3
1990-05-06 @ Aalborg D 1-1 1566 1441 36.14% 36.38% 27.47% -0.6 9
1990-05-06 Odense D 0-0 1592 1560 47.10% 35.99% 16.91% -2.5 7
1990-05-06 @ Aarhus GF D 0-0 1560 1592 16.91% 35.99% 47.10% +2.5 3
1990-05-06 Lyngby W 2-0 1541 1602 36.03% 36.70% 27.27% +21.8 6
1990-05-06 @ B 1903 L 0-2 1602 1541 27.27% 36.70% 36.03% -21.8 4
1990-05-06 Herfolge D 3-3 1564 1425 56.65% 33.58% 9.77% -2.4 8
1990-05-06 @ Frem D 3-3 1425 1564 9.77% 33.58% 56.65% +2.4 6
1990-05-06 KB Copenhagen L 0-1 1582 1332 64.44% 29.74% 5.82% -22.3 8
1990-05-06 @ Naestved W 1-0 1332 1582 5.82% 29.74% 64.44% +22.3 6
1990-05-06 Brondby L 0-2 1409 1631 17.10% 34.68% 48.22% -15.5 3
1990-05-06 @ Viborg W 2-0 1631 1409 48.22% 34.68% 17.10% +15.5 8
1990-05-13 Viborg D 0-0 1442 1393 48.81% 35.71% 15.48% -2.8 4
1990-05-13 @ Aalborg D 0-0 1393 1442 15.48% 35.71% 48.81% +2.8 4
1990-05-13 Ikast W 1-0 1427 1485 36.52% 36.70% 26.79% +11.4 8
1990-05-13 @ Herfolge L 0-1 1485 1427 26.79% 36.70% 36.52% -11.4 5
1990-05-13 Frem L 0-5 1354 1561 18.43% 35.03% 46.53% -38.3 6
1990-05-13 @ KB Copenhagen W 5-0 1561 1354 46.53% 35.03% 18.43% +38.3 10
1990-05-13 Aarhus GF L 0-1 1580 1589 42.63% 36.47% 20.90% -15.7 4
1990-05-13 @ Lyngby W 1-0 1589 1580 20.90% 36.47% 42.63% +15.7 9
1990-05-13 Brondby L 0-3 1562 1646 33.00% 36.66% 30.34% -35.8 3
1990-05-13 @ Odense W 3-0 1646 1562 30.34% 36.66% 33.00% +35.8 10
1990-05-13 Naestved W 3-0 1565 1560 44.26% 36.33% 19.41% +25.2 11
1990-05-13 @ Silkeborg L 0-3 1560 1565 19.41% 36.33% 44.26% -25.2 8
1990-05-13 B 1903 D 2-2 1579 1562 45.53% 36.19% 18.28% -1.5 7
1990-05-13 @ Vejle BK D 2-2 1562 1579 18.28% 36.19% 45.53% +1.5 7
1990-05-16 Vejle BK W 1-0 1474 1578 30.18% 36.56% 33.26% +13.1 7
1990-05-16 @ Ikast L 0-1 1578 1474 33.26% 36.56% 30.18% -13.1 7
1990-05-20 Vejle BK W 1-0 1605 1565 47.97% 35.86% 16.17% +8.1 11
1990-05-20 @ Aarhus GF L 0-1 1565 1605 16.17% 35.86% 47.97% -8.1 7
1990-05-20 Lyngby W 2-0 1682 1565 54.97% 34.18% 10.85% +11.0 12
1990-05-20 @ Brondby L 0-2 1565 1682 10.85% 34.18% 54.97% -11.0 4
1990-05-20 Herfolge W 2-1 1564 1439 55.59% 33.97% 10.44% +5.3 9
1990-05-20 @ B 1903 L 1-2 1439 1564 10.44% 33.97% 55.59% -5.3 8
1990-05-20 Silkeborg L 1-2 1599 1590 44.69% 36.29% 19.02% -15.4 10
1990-05-20 @ Frem W 2-1 1590 1599 19.02% 36.29% 44.69% +15.4 13
1990-05-20 KB Copenhagen D 0-0 1487 1316 59.06% 32.58% 8.35% -4.7 8
1990-05-20 @ Ikast D 0-0 1316 1487 8.35% 32.58% 59.06% +4.7 7
1990-05-20 Aalborg L 0-2 1534 1439 53.13% 34.74% 12.14% -35.8 8
1990-05-20 @ Naestved W 2-0 1439 1534 12.14% 34.74% 53.13% +35.8 6
1990-05-20 Odense L 1-3 1396 1527 26.68% 36.32% 37.00% -18.5 4
1990-05-20 @ Viborg W 3-1 1527 1396 37.00% 36.32% 26.68% +18.5 5
1990-05-27 Frem W 1-0 1475 1584 29.46% 36.52% 34.02% +13.3 8
1990-05-27 @ Aalborg L 0-1 1584 1475 34.02% 36.52% 29.46% -13.3 10
1990-05-27 Aarhus GF D 0-0 1433 1613 21.08% 35.59% 43.33% +1.8 9
1990-05-27 @ Herfolge D 0-0 1613 1433 43.33% 35.59% 21.08% -1.8 12
1990-05-27 B 1903 L 0-3 1321 1569 15.02% 33.99% 50.98% -20.2 7
1990-05-27 @ KB Copenhagen W 3-0 1569 1321 50.98% 33.99% 15.02% +20.2 11
1990-05-27 Odense W 2-0 1554 1545 44.59% 36.30% 19.12% +17.2 6
1990-05-27 @ Lyngby L 0-2 1545 1554 19.12% 36.30% 44.59% -17.2 5
1990-05-27 Viborg D 0-0 1499 1378 55.26% 34.08% 10.66% -4.0 9
1990-05-27 @ Naestved D 0-0 1378 1499 10.66% 34.08% 55.26% +4.0 5
1990-05-27 Ikast W 2-0 1606 1482 55.46% 34.01% 10.53% +10.7 15
1990-05-27 @ Silkeborg L 0-2 1482 1606 10.53% 34.01% 55.46% -10.7 8
1990-05-27 Brondby D 0-0 1557 1693 25.96% 36.25% 37.79% +0.9 8
1990-05-27 @ Vejle BK D 0-0 1693 1557 37.79% 36.25% 25.96% -0.9 13
1990-06-04 KB Copenhagen W 1-0 1611 1300 68.22% 27.30% 4.48% +2.3 14
1990-06-04 @ Aarhus GF L 0-1 1300 1611 4.48% 27.30% 68.22% -2.3 7
1990-06-04 Herfolge W 4-0 1692 1435 64.88% 29.47% 5.65% +10.7 15
1990-06-04 @ Brondby L 0-4 1435 1692 5.65% 29.47% 64.88% -10.7 9
1990-06-04 Silkeborg W 2-0 1589 1616 40.45% 36.60% 22.95% +19.5 13
1990-06-04 @ B 1903 L 0-2 1616 1589 22.95% 36.60% 40.45% -19.5 15
1990-06-04 Naestved D 1-1 1571 1495 51.42% 35.18% 13.40% -3.0 11
1990-06-04 @ Frem D 1-1 1495 1571 13.40% 35.18% 51.42% +3.0 10
1990-06-04 Aalborg W 4-0 1471 1488 41.70% 36.53% 21.77% +35.6 10
1990-06-04 @ Ikast L 0-4 1488 1471 21.77% 36.53% 41.70% -35.6 8
1990-06-04 Vejle BK D 0-0 1528 1557 40.16% 36.61% 23.23% -1.3 6
1990-06-04 @ Odense D 0-0 1557 1528 23.23% 36.61% 40.16% +1.3 9
1990-06-04 Lyngby W 2-1 1382 1571 20.11% 35.41% 44.48% +15.2 7
1990-06-04 @ Viborg L 1-2 1571 1382 44.48% 35.41% 20.11% -15.2 6
1990-07-29 B 1903 W 2-1 1453 1609 23.60% 35.98% 40.42% +14.1 10
1990-07-29 @ Aalborg L 1-2 1609 1453 40.42% 35.98% 23.60% -14.1 13
1990-07-29 Viborg W 3-1 1568 1397 59.07% 32.58% 8.35% +7.5 13
1990-07-29 @ Frem L 1-3 1397 1568 8.35% 32.58% 59.07% -7.5 7
1990-07-29 Odense W 1-0 1424 1527 30.42% 36.57% 33.01% +13.0 11
1990-07-29 @ Herfolge L 0-1 1527 1424 33.01% 36.57% 30.42% -13.0 6
1990-07-29 Brondby L 0-1 1298 1703 7.29% 28.54% 64.17% -3.6 7
1990-07-29 @ KB Copenhagen W 1-0 1703 1298 64.17% 28.54% 7.29% +3.6 17
1990-07-29 Ikast D 1-1 1498 1507 42.55% 36.48% 20.98% -1.5 11
1990-07-29 @ Naestved D 1-1 1507 1498 20.98% 36.48% 42.55% +1.6 11
1990-07-29 Aarhus GF D 2-2 1597 1613 41.73% 36.53% 21.74% -1.1 16
1990-07-29 @ Silkeborg D 2-2 1613 1597 21.74% 36.53% 41.73% +1.1 15
1990-07-29 Lyngby D 1-1 1559 1555 44.02% 36.35% 19.62% -1.8 10
1990-07-29 @ Vejle BK D 1-1 1555 1559 19.62% 36.35% 44.02% +1.8 7
1990-08-05 Aalborg L 0-2 1614 1467 57.35% 33.31% 9.34% -38.4 15
1990-08-05 @ Aarhus GF W 2-0 1467 1614 9.34% 33.31% 57.35% +38.3 12
1990-08-05 Silkeborg W 2-0 1706 1596 54.40% 34.36% 11.24% +11.3 19
1990-08-05 @ Brondby L 0-2 1596 1706 11.24% 34.36% 54.40% -11.3 16
1990-08-05 Naestved W 2-0 1595 1496 53.40% 34.66% 11.94% +11.9 15
1990-08-05 @ B 1903 L 0-2 1496 1595 11.94% 34.66% 53.40% -11.9 11
1990-08-05 Frem D 1-1 1509 1575 35.35% 36.70% 27.95% -0.5 12
1990-08-05 @ Ikast D 1-1 1575 1509 27.95% 36.70% 35.35% +0.5 14
1990-08-05 Herfolge W 1-0 1557 1438 55.16% 34.12% 10.73% +5.8 9
1990-08-05 @ Lyngby L 0-1 1438 1557 10.73% 34.12% 55.16% -5.8 11
1990-08-05 KB Copenhagen W 4-0 1514 1295 62.41% 30.91% 6.68% +12.9 8
1990-08-05 @ Odense L 0-4 1295 1514 6.68% 30.91% 62.41% -12.9 7
1990-08-05 Vejle BK W 2-1 1389 1557 22.33% 35.80% 41.87% +14.5 9
1990-08-05 @ Viborg L 1-2 1557 1389 41.87% 35.80% 22.33% -14.5 10
1990-08-12 Brondby L 1-3 1505 1718 17.91% 34.90% 47.19% -13.9 12
1990-08-12 @ Aalborg W 3-1 1718 1505 47.19% 34.90% 17.91% +13.9 21
1990-08-12 B 1903 D 1-1 1576 1607 39.98% 36.62% 23.40% -1.2 15
1990-08-12 @ Frem D 1-1 1607 1576 23.40% 36.62% 39.98% +1.2 16
1990-08-12 Vejle BK W 2-1 1432 1542 29.26% 36.51% 34.23% +12.6 13
1990-08-12 @ Herfolge L 1-2 1542 1432 34.23% 36.51% 29.26% -12.6 10
1990-08-12 Lyngby D 2-2 1282 1563 12.81% 33.02% 54.17% +2.4 8
1990-08-12 @ KB Copenhagen D 2-2 1563 1282 54.17% 33.02% 12.81% -2.4 10
1990-08-12 Aarhus GF W 3-2 1484 1576 31.85% 36.63% 31.53% +11.3 13
1990-08-12 @ Naestved L 2-3 1576 1484 31.53% 36.63% 31.85% -11.3 15
1990-08-12 Odense L 0-1 1584 1527 49.71% 35.54% 14.74% -17.9 16
1990-08-12 @ Silkeborg W 1-0 1527 1584 14.74% 35.54% 49.71% +17.9 10
1990-08-12 Ikast L 0-2 1404 1508 30.14% 36.56% 33.31% -23.2 9
1990-08-12 @ Viborg W 2-0 1508 1404 33.31% 36.56% 30.14% +23.2 14
1990-08-19 Viborg W 4-1 1732 1381 70.60% 25.62% 3.78% +4.2 23
1990-08-19 @ Brondby L 1-4 1381 1732 3.78% 25.62% 70.60% -4.2 9
1990-08-19 Frem D 1-1 1444 1575 26.72% 36.32% 36.95% +0.7 14
1990-08-19 @ Herfolge D 1-1 1575 1444 36.95% 36.32% 26.72% -0.7 16
1990-08-19 Naestved L 0-2 1284 1495 18.03% 34.93% 47.04% -16.1 8
1990-08-19 @ KB Copenhagen W 2-0 1495 1284 47.04% 34.93% 18.03% +16.1 15
1990-08-19 B 1903 D 0-0 1561 1608 37.92% 36.68% 25.40% -1.0 11
1990-08-19 @ Lyngby D 0-0 1608 1561 25.40% 36.68% 37.92% +1.0 17
1990-08-19 Aarhus GF D 0-0 1545 1565 41.28% 36.56% 22.16% -1.5 11
1990-08-19 @ Odense D 0-0 1565 1545 22.16% 36.56% 41.28% +1.5 16
1990-08-19 Aalborg W 1-0 1567 1491 51.35% 35.19% 13.45% +7.0 18
1990-08-19 @ Silkeborg L 0-1 1491 1567 13.45% 35.19% 51.35% -7.0 12
1990-08-19 Ikast W 3-0 1530 1531 43.48% 36.40% 20.12% +25.8 12
1990-08-19 @ Vejle BK L 0-3 1531 1530 20.12% 36.40% 43.48% -25.8 14
1990-08-26 KB Copenhagen W 2-1 1484 1268 62.22% 31.01% 6.77% +3.5 14
1990-08-26 @ Aalborg L 1-2 1268 1484 6.77% 31.01% 62.22% -3.5 8
1990-08-26 Brondby L 1-2 1566 1736 22.13% 35.77% 42.10% -9.4 16
1990-08-26 @ Aarhus GF W 2-1 1736 1566 42.10% 35.77% 22.13% +9.4 25
1990-08-26 Odense W 2-0 1609 1543 50.46% 35.39% 14.15% +13.7 19
1990-08-26 @ B 1903 L 0-2 1543 1609 14.15% 35.39% 50.46% -13.7 11
1990-08-26 Vejle BK D 2-2 1574 1556 45.66% 36.18% 18.16% -1.5 17
1990-08-26 @ Frem D 2-2 1556 1574 18.16% 36.18% 45.66% +1.5 13
1990-08-26 Lyngby L 1-2 1506 1560 37.01% 36.70% 26.29% -13.3 14
1990-08-26 @ Ikast W 2-1 1560 1506 26.29% 36.70% 37.01% +13.3 13
1990-08-26 Herfolge D 0-0 1512 1445 50.52% 35.38% 14.10% -3.2 16
1990-08-26 @ Naestved D 0-0 1445 1512 14.10% 35.38% 50.52% +3.2 15
1990-08-26 Silkeborg D 0-0 1376 1574 19.33% 35.24% 45.43% +2.1 10
1990-08-26 @ Viborg D 0-0 1574 1376 45.43% 35.24% 19.33% -2.1 19
1990-09-02 Naestved W 1-0 1488 1508 41.21% 36.56% 22.22% +10.1 16
1990-09-02 @ Aalborg L 0-1 1508 1488 22.22% 36.56% 41.21% -10.1 16
1990-09-02 B 1903 L 1-2 1448 1622 21.63% 35.69% 42.68% -9.2 15
1990-09-02 @ Herfolge W 2-1 1622 1448 42.68% 35.69% 21.63% +9.2 21
1990-09-02 Ikast L 1-2 1265 1492 16.63% 34.54% 48.83% -7.6 8
1990-09-02 @ KB Copenhagen W 2-1 1492 1265 48.83% 34.54% 16.63% +7.6 16
1990-09-02 Brondby L 2-3 1573 1745 21.84% 35.72% 42.44% -8.8 13
1990-09-02 @ Lyngby W 3-2 1745 1573 42.44% 35.72% 21.84% +8.8 27
1990-09-02 Viborg W 3-1 1529 1379 57.58% 33.22% 9.20% +8.2 13
1990-09-02 @ Odense L 1-3 1379 1529 9.20% 33.22% 57.58% -8.2 10
1990-09-02 Frem L 1-2 1571 1572 43.54% 36.40% 20.06% -15.1 19
1990-09-02 @ Silkeborg W 2-1 1572 1571 20.06% 36.40% 43.54% +15.1 19
1990-09-02 Aarhus GF W 2-1 1557 1557 43.69% 36.38% 19.92% +8.8 15
1990-09-02 @ Vejle BK L 1-2 1557 1557 19.92% 36.38% 43.69% -8.8 16
1990-09-09 Lyngby L 1-3 1548 1564 41.77% 36.53% 21.70% -25.3 16
1990-09-09 @ Aarhus GF W 3-1 1564 1548 21.70% 36.53% 41.77% +25.3 15
1990-09-09 Odense W 3-0 1754 1537 62.24% 31.00% 6.76% +10.0 29
1990-09-09 @ Brondby L 0-3 1537 1754 6.76% 31.00% 62.24% -10.0 13
1990-09-09 Vejle BK D 0-0 1632 1566 50.44% 35.39% 14.16% -3.1 22
1990-09-09 @ B 1903 D 0-0 1566 1632 14.16% 35.39% 50.44% +3.1 16
1990-09-09 KB Copenhagen D 1-1 1587 1257 69.41% 26.47% 4.12% -5.5 20
1990-09-09 @ Frem D 1-1 1257 1587 4.12% 26.47% 69.41% +5.5 9
1990-09-09 Herfolge W 4-1 1500 1439 49.99% 35.49% 14.52% +17.1 18
1990-09-09 @ Ikast L 1-4 1439 1500 14.52% 35.49% 49.99% -17.1 15
1990-09-09 Silkeborg D 0-0 1498 1556 36.49% 36.70% 26.81% -0.7 17
1990-09-09 @ Naestved D 0-0 1556 1498 26.81% 36.70% 36.49% +0.7 20
1990-09-09 Aalborg L 0-1 1370 1498 27.09% 36.35% 36.56% -11.5 10
1990-09-09 @ Viborg W 1-0 1498 1370 36.56% 36.35% 27.09% +11.5 18
1990-09-15 Frem W 1-0 1764 1582 59.87% 32.21% 7.92% +4.3 31
1990-09-15 @ Brondby L 0-1 1582 1764 7.92% 32.21% 59.87% -4.3 20
1990-09-15 Aalborg D 2-2 1589 1509 51.79% 35.09% 13.12% -2.3 16
1990-09-15 @ Lyngby D 2-2 1509 1589 13.12% 35.09% 51.79% +2.2 19
1990-09-15 Naestved W 3-1 1527 1498 46.91% 36.01% 17.07% +13.7 15
1990-09-15 @ Odense L 1-3 1498 1527 17.07% 36.01% 46.91% -13.7 17
1990-09-15 Silkeborg L 1-4 1569 1557 45.01% 36.25% 18.74% -38.0 16
1990-09-15 @ Vejle BK W 4-1 1557 1569 18.74% 36.25% 45.01% +38.0 22
1990-09-16 Ikast D 1-1 1523 1517 44.31% 36.33% 19.37% -1.8 17
1990-09-16 @ Aarhus GF D 1-1 1517 1523 19.37% 36.33% 44.31% +1.8 19
1990-09-16 Viborg W 7-0 1629 1359 65.69% 28.97% 5.34% +17.0 24
1990-09-16 @ B 1903 L 0-7 1359 1629 5.34% 28.97% 65.69% -17.0 10
1990-09-16 KB Copenhagen L 2-6 1422 1262 58.22% 32.95% 8.83% -52.1 15
1990-09-16 @ Herfolge W 6-2 1262 1422 8.83% 32.95% 58.22% +52.1 11
1990-09-23 Odense L 1-2 1511 1541 40.12% 36.62% 23.26% -14.1 19
1990-09-23 @ Aalborg W 2-1 1541 1511 23.26% 36.62% 40.12% +14.1 17
1990-09-23 Aarhus GF D 0-0 1578 1521 49.60% 35.57% 14.83% -3.0 21
1990-09-23 @ Frem D 0-0 1521 1578 14.83% 35.57% 49.60% +3.0 18
1990-09-23 B 1903 W 3-1 1519 1646 27.15% 36.36% 36.49% +22.8 21
1990-09-23 @ Ikast L 1-3 1646 1519 36.49% 36.36% 27.15% -22.8 24
1990-09-23 Vejle BK W 2-1 1315 1531 17.56% 34.81% 47.63% +16.1 13
1990-09-23 @ KB Copenhagen L 1-2 1531 1315 47.63% 34.81% 17.56% -16.1 16
1990-09-23 Brondby L 1-4 1484 1768 12.61% 32.92% 54.47% -14.6 17
1990-09-23 @ Naestved W 4-1 1768 1484 54.47% 32.92% 12.61% +14.6 33
1990-09-23 Lyngby D 2-2 1595 1587 44.54% 36.30% 19.16% -1.4 23
1990-09-23 @ Silkeborg D 2-2 1587 1595 19.16% 36.30% 44.54% +1.4 17
1990-09-23 Herfolge W 1-0 1342 1370 40.36% 36.60% 23.04% +10.3 12
1990-09-23 @ Viborg L 0-1 1370 1342 23.04% 36.60% 40.36% -10.4 15
1990-09-24 Aalborg D 2-2 1783 1497 66.70% 28.32% 4.98% -3.9 34
1990-09-24 @ Brondby D 2-2 1497 1783 4.98% 28.32% 66.70% +3.9 20
1990-09-29 KB Copenhagen W 2-0 1589 1331 64.95% 29.43% 5.62% +5.6 19
1990-09-29 @ Lyngby L 0-2 1331 1589 5.62% 29.43% 64.95% -5.6 13
1990-09-29 Silkeborg W 1-0 1555 1594 39.04% 36.66% 24.31% +10.7 19
1990-09-29 @ Odense L 0-1 1594 1555 24.31% 36.66% 39.04% -10.7 23
1990-09-29 Herfolge W 2-1 1515 1359 57.96% 33.06% 8.98% +4.6 18
1990-09-29 @ Vejle BK L 1-2 1359 1515 8.98% 33.06% 57.96% -4.6 15
1990-09-30 Naestved D 0-0 1524 1469 49.41% 35.60% 14.99% -3.0 19
1990-09-30 @ Aarhus GF D 0-0 1469 1524 14.99% 35.60% 49.41% +2.9 18
1990-09-30 Frem D 1-1 1623 1575 48.76% 35.72% 15.52% -2.5 25
1990-09-30 @ B 1903 D 1-1 1575 1623 15.52% 35.72% 48.76% +2.5 22
1990-09-30 Viborg W 5-1 1541 1352 60.37% 31.97% 7.66% +12.5 23
1990-09-30 @ Ikast L 1-5 1352 1541 7.66% 31.97% 60.37% -12.5 12
1990-10-07 Aarhus GF W 2-1 1501 1521 41.33% 36.55% 22.11% +9.5 22
1990-10-07 @ Aalborg L 1-2 1521 1501 22.11% 36.55% 41.33% -9.5 19
1990-10-07 Ikast W 1-0 1577 1554 46.21% 36.11% 17.68% +8.6 24
1990-10-07 @ Frem L 0-1 1554 1577 17.68% 36.11% 46.21% -8.6 23
1990-10-07 Lyngby L 0-2 1355 1594 15.70% 34.24% 50.07% -14.4 15
1990-10-07 @ Herfolge W 2-0 1594 1355 50.07% 34.24% 15.70% +14.4 21
1990-10-07 Odense L 1-2 1325 1566 15.58% 34.19% 50.22% -7.2 13
1990-10-07 @ KB Copenhagen W 2-1 1566 1325 50.22% 34.19% 15.58% +7.2 21
1990-10-07 B 1903 D 0-0 1472 1620 24.55% 36.10% 39.35% +1.2 19
1990-10-07 @ Naestved D 0-0 1620 1472 39.35% 36.10% 24.55% -1.2 26
1990-10-07 Brondby D 1-1 1583 1779 19.42% 35.26% 45.31% +1.9 24
1990-10-07 @ Silkeborg D 1-1 1779 1583 45.31% 35.26% 19.42% -1.9 35
1990-10-07 Viborg W 2-0 1520 1340 59.72% 32.28% 8.00% +8.2 20
1990-10-07 @ Vejle BK L 0-2 1340 1520 8.00% 32.28% 59.72% -8.2 12
1990-10-14 Silkeborg W 3-1 1511 1585 34.43% 36.69% 28.88% +19.6 21
1990-10-14 @ Aarhus GF L 1-3 1585 1511 28.88% 36.69% 34.43% -19.6 24
1990-10-14 KB Copenhagen W 1-0 1777 1318 76.55% 21.07% 2.38% +1.0 37
1990-10-14 @ Brondby L 0-1 1318 1777 2.38% 21.07% 76.55% -1.0 13
1990-10-14 Aalborg W 1-0 1619 1511 54.23% 34.41% 11.36% +6.1 28
1990-10-14 @ B 1903 L 0-1 1511 1619 11.36% 34.41% 54.23% -6.1 22
1990-10-14 Naestved W 3-1 1545 1473 51.04% 35.26% 13.69% +11.6 25
1990-10-14 @ Ikast L 1-3 1473 1545 13.69% 35.26% 51.04% -11.6 19
1990-10-14 Vejle BK L 0-1 1609 1528 51.82% 35.08% 13.10% -18.6 21
1990-10-14 @ Lyngby W 1-0 1528 1609 13.10% 35.08% 51.82% +18.6 22
1990-10-14 Herfolge W 7-1 1573 1340 63.33% 30.39% 6.28% +14.6 23
1990-10-14 @ Odense L 1-7 1340 1573 6.28% 30.39% 63.33% -14.6 15
1990-10-14 Frem L 0-2 1332 1586 14.60% 33.83% 51.57% -13.6 12
1990-10-14 @ Viborg W 2-0 1586 1332 51.57% 33.83% 14.60% +13.6 26
1990-10-20 Brondby D 0-0 1326 1778 5.92% 26.56% 67.51% +5.7 16
1990-10-20 @ Herfolge D 0-0 1778 1326 67.51% 26.56% 5.92% -5.7 38
1990-10-21 Ikast D 2-2 1505 1557 37.25% 36.69% 26.06% -0.6 23
1990-10-21 @ Aalborg D 2-2 1557 1505 26.06% 36.69% 37.25% +0.6 26
1990-10-21 Aarhus GF L 0-4 1317 1531 17.77% 34.87% 47.36% -30.2 13
1990-10-21 @ KB Copenhagen W 4-0 1531 1317 47.36% 34.87% 17.77% +30.2 23
1990-10-21 Viborg W 5-1 1590 1318 65.84% 28.87% 5.29% +8.2 23
1990-10-21 @ Lyngby L 1-5 1318 1590 5.29% 28.87% 65.84% -8.3 12
1990-10-21 Frem D 0-0 1462 1599 25.80% 36.24% 37.96% +0.9 20
1990-10-21 @ Naestved D 0-0 1599 1462 37.96% 36.24% 25.80% -0.9 27
1990-10-21 B 1903 W 2-1 1565 1625 36.25% 36.70% 27.05% +10.8 26
1990-10-21 @ Silkeborg L 1-2 1625 1565 27.05% 36.70% 36.25% -10.8 28
1990-10-21 Odense D 1-1 1547 1588 38.68% 36.67% 24.65% -1.0 23
1990-10-21 @ Vejle BK D 1-1 1588 1547 24.65% 36.67% 38.68% +1.0 24
1990-10-28 Herfolge W 4-0 1561 1331 63.13% 30.51% 6.36% +12.3 25
1990-10-28 @ Aarhus GF L 0-4 1331 1561 6.36% 30.51% 63.13% -12.3 16
1990-10-28 Vejle BK W 4-2 1773 1546 62.94% 30.62% 6.45% +5.1 40
1990-10-28 @ Brondby L 2-4 1546 1773 6.45% 30.62% 62.94% -5.1 23
1990-10-28 KB Copenhagen D 3-3 1614 1287 69.24% 26.59% 4.17% -3.4 29
1990-10-28 @ B 1903 D 3-3 1287 1614 4.17% 26.59% 69.24% +3.4 14
1990-10-28 Aalborg D 2-2 1598 1504 53.04% 34.76% 12.20% -2.4 28
1990-10-28 @ Frem D 2-2 1504 1598 12.20% 34.76% 53.04% +2.4 24
1990-10-28 Silkeborg W 1-0 1557 1576 41.47% 36.55% 21.98% +10.0 28
1990-10-28 @ Ikast L 0-1 1576 1557 21.98% 36.55% 41.47% -10.0 26
1990-10-28 Lyngby D 2-2 1589 1598 42.55% 36.48% 20.97% -1.2 25
1990-10-28 @ Odense D 2-2 1598 1589 20.97% 36.48% 42.55% +1.2 24
1990-10-28 Naestved L 1-2 1310 1463 23.98% 36.03% 39.98% -9.9 12
1990-10-28 @ Viborg W 2-1 1463 1310 39.98% 36.03% 23.98% +9.9 22
1990-11-03 B 1903 D 2-2 1778 1611 58.76% 32.72% 8.52% -3.1 41
1990-11-03 @ Brondby D 2-2 1611 1778 8.52% 32.72% 58.76% +3.1 30
1990-11-04 Viborg W 2-0 1574 1300 65.95% 28.80% 5.25% +5.2 27
1990-11-04 @ Aarhus GF L 0-2 1300 1574 5.25% 28.80% 65.95% -5.2 12
1990-11-04 Aalborg D 3-3 1319 1506 20.29% 35.44% 44.27% +1.1 17
1990-11-04 @ Herfolge D 3-3 1506 1319 44.27% 35.44% 20.29% -1.1 25
1990-11-04 Silkeborg L 1-2 1290 1566 13.14% 33.19% 53.68% -6.2 14
1990-11-04 @ KB Copenhagen W 2-1 1566 1290 53.68% 33.19% 13.14% +6.2 28
1990-11-04 Frem W 3-0 1599 1596 44.03% 36.35% 19.61% +25.4 26
1990-11-04 @ Lyngby L 0-3 1596 1599 19.61% 36.35% 44.03% -25.4 28
1990-11-04 Ikast D 1-1 1588 1568 45.87% 36.15% 17.98% -2.1 26
1990-11-04 @ Odense D 1-1 1568 1588 17.98% 36.15% 45.87% +2.1 29
1990-11-04 Naestved W 2-1 1541 1473 50.66% 35.35% 13.99% +6.8 25
1990-11-04 @ Vejle BK L 1-2 1473 1541 13.99% 35.35% 50.66% -6.8 22
1990-11-10 KB Copenhagen W 3-1 1295 1284 44.86% 36.27% 18.88% +14.7 14
1990-11-10 @ Viborg L 1-3 1284 1295 18.88% 36.27% 44.86% -14.7 14
1990-11-11 Vejle BK D 1-1 1505 1547 38.58% 36.67% 24.75% -1.0 26
1990-11-11 @ Aalborg D 1-1 1547 1505 24.75% 36.67% 38.58% +1.0 26
1990-11-11 Aarhus GF D 1-1 1614 1579 47.47% 35.93% 16.60% -2.3 31
1990-11-11 @ B 1903 D 1-1 1579 1614 16.60% 35.93% 47.47% +2.3 28
1990-11-11 Odense D 1-1 1571 1586 41.92% 36.52% 21.56% -1.5 29
1990-11-11 @ Frem D 1-1 1586 1571 21.56% 36.52% 41.92% +1.5 27
1990-11-11 Brondby D 0-0 1570 1775 18.60% 35.08% 46.32% +2.3 30
1990-11-11 @ Ikast D 0-0 1775 1570 46.32% 35.08% 18.60% -2.3 42
1990-11-11 Lyngby L 0-6 1466 1625 23.29% 35.94% 40.77% -54.1 22
1990-11-11 @ Naestved W 6-0 1625 1466 40.77% 35.94% 23.29% +54.1 28
1990-11-11 Herfolge W 1-0 1572 1320 64.57% 29.66% 5.77% +3.1 30
1990-11-11 @ Silkeborg L 0-1 1320 1572 5.77% 29.66% 64.57% -3.1 17

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 1990-05-06 5.82% KB Copenhagen 1332 1 @ Naestved 1582 0
2 1990-09-16 8.83% KB Copenhagen 1262 6 @ Herfolge 1422 2
3 1990-04-29 9.08% Ikast 1467 3 @ Lyngby 1620 2
4 1990-08-05 9.34% Aalborg 1467 2 @ Aarhus GF 1614 0
5 1990-04-16 11.48% B 1903 1517 4 @ Aarhus GF 1623 1
6 1990-04-01 11.96% Silkeborg 1530 2 @ Lyngby 1629 1
7 1990-05-20 12.14% Aalborg 1439 2 @ Naestved 1534 0
8 1990-04-15 12.85% Frem 1527 2 @ Odense 1611 0
9 1990-10-14 13.10% Vejle BK 1528 1 @ Lyngby 1609 0
10 1990-08-12 14.74% Odense 1527 1 @ Silkeborg 1584 0
11 1990-09-23 17.56% @ KB Copenhagen 1315 2 Vejle BK 1531 1
12 1990-09-15 18.74% Silkeborg 1557 4 @ Vejle BK 1569 1
13 1990-05-20 19.02% Silkeborg 1590 2 @ Frem 1599 1
14 1990-09-02 20.06% Frem 1572 2 @ Silkeborg 1571 1
15 1990-06-04 20.11% @ Viborg 1382 2 Lyngby 1571 1
16 1990-05-13 20.90% Aarhus GF 1589 1 @ Lyngby 1580 0
17 1990-09-09 21.70% Lyngby 1564 3 @ Aarhus GF 1548 1
18 1990-08-05 22.33% @ Viborg 1389 2 Vejle BK 1557 1
19 1990-09-23 23.26% Odense 1541 2 @ Aalborg 1511 1
20 1990-07-29 23.60% @ Aalborg 1453 2 B 1903 1609 1
21 1990-04-22 25.53% Brondby 1610 3 @ B 1903 1562 1
22 1990-04-29 25.99% @ KB Copenhagen 1319 2 Aalborg 1455 1
23 1990-08-26 26.29% Lyngby 1560 2 @ Ikast 1506 1
24 1990-09-23 27.15% @ Ikast 1519 3 B 1903 1646 1
25 1990-04-22 27.64% @ Ikast 1453 1 Odense 1576 0

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 1990-11-11 54.10 Lyngby 6 1625 40.77% @ Naestved 0 1466 23.29% 35.94%
2 1990-09-16 52.14 KB Copenhagen 6 1262 8.83% @ Herfolge 2 1422 58.22% 32.95%
3 1990-04-16 44.58 B 1903 4 1517 11.48% @ Aarhus GF 1 1623 54.05% 34.47%
4 1990-08-05 38.36 Aalborg 2 1467 9.34% @ Aarhus GF 0 1614 57.35% 33.31%
5 1990-05-13 38.35 Frem 5 1561 46.53% @ KB Copenhagen 0 1354 18.43% 35.03%
6 1990-09-15 38.00 Silkeborg 4 1557 18.74% @ Vejle BK 1 1569 45.01% 36.25%
7 1990-05-20 35.84 Aalborg 2 1439 12.14% @ Naestved 0 1534 53.13% 34.74%
8 1990-05-13 35.76 Brondby 3 1646 30.34% @ Odense 0 1562 33.00% 36.66%
9 1990-06-04 35.64 @ Ikast 4 1471 41.70% Aalborg 0 1488 21.77% 36.53%
10 1990-04-15 35.25 Frem 2 1527 12.85% @ Odense 0 1611 52.16% 34.99%
11 1990-10-21 30.25 Aarhus GF 4 1531 47.36% @ KB Copenhagen 0 1317 17.77% 34.87%
12 1990-08-19 25.84 @ Vejle BK 3 1530 43.48% Ikast 0 1531 20.12% 36.40%
13 1990-04-08 25.48 @ Naestved 2 1522 28.70% Odense 0 1637 34.83% 36.47%
14 1990-11-04 25.38 @ Lyngby 3 1599 44.03% Frem 0 1596 19.61% 36.35%
15 1990-09-09 25.29 Lyngby 3 1564 21.70% @ Aarhus GF 1 1548 41.77% 36.53%
16 1990-05-13 25.20 @ Silkeborg 3 1565 44.26% Naestved 0 1560 19.41% 36.33%
17 1990-04-22 23.43 Brondby 3 1610 25.53% @ B 1903 1 1562 37.78% 36.69%
18 1990-08-12 23.20 Ikast 2 1508 33.31% @ Viborg 0 1404 30.14% 36.56%
19 1990-09-23 22.77 @ Ikast 3 1519 27.15% B 1903 1 1646 36.49% 36.36%
20 1990-05-06 22.32 KB Copenhagen 1 1332 5.82% @ Naestved 0 1582 64.44% 29.74%
21 1990-05-06 21.80 @ B 1903 2 1541 36.03% Lyngby 0 1602 27.27% 36.70%
22 1990-04-22 21.21 @ Naestved 2 1550 37.17% Vejle BK 0 1602 26.14% 36.69%
23 1990-05-27 20.21 B 1903 3 1569 50.98% @ KB Copenhagen 0 1321 15.02% 33.99%
24 1990-10-14 19.58 @ Aarhus GF 3 1511 34.43% Silkeborg 1 1585 28.88% 36.69%
25 1990-06-04 19.47 @ B 1903 2 1589 40.45% Silkeborg 0 1616 22.95% 36.60%