Home / Leagues / Denmark / 1st Division / 1986
‹ ›

1986 1st Division Season

182 games

Final

Champion

Aarhus GF

41 points · 5th Title

Last Title: 1960

Relegated

Randers

11 pts

Esbjerg · 13 pts

Biggest Overachiever

Naestved

7.43 points above expected

35 points · 27.57 expected points

Biggest Disappointment

Kastrup

7.04 points below expected

14 points · 21.04 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 Aarhus GF Champion 26 17 7 2 41 49 22 +27 34.72 +6.28
2 Brondby 26 18 1 7 37 52 30 +22 32.92 +4.08
3 Naestved 26 13 9 4 35 43 23 +20 27.57 +7.43
4 Lyngby 26 12 8 6 32 40 29 +11 27.20 +4.80
5 B 1903 26 10 9 7 29 40 33 +7 28.97 +0.03
6 Ikast 26 11 6 9 28 42 36 +6 27.00 +1.00
7 Vejle BK 26 9 9 8 27 37 36 +1 23.89 +3.11
8 Odense 26 10 6 10 26 38 32 +6 28.97 -2.97
9 Bronshoj 26 10 5 11 25 54 42 +12 28.20 -3.20
10 KB Copenhagen 26 9 6 11 24 33 43 -10 24.05 -0.05
11 Herfolge 26 8 6 12 22 30 44 -14 24.83 -2.83
12 Kastrup 26 4 6 16 14 19 39 -20 21.04 -7.04
13 Esbjerg Relegated 26 3 7 16 13 19 50 -31 19.76 -6.76
14 Randers Relegated 26 4 3 19 11 23 60 -37 14.90 -3.90

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
Aarhus GF 1513 41 34.72 +6.28 96.4% 19 28 32 35 37 41 48
Naestved 1487 35 27.57 +7.43 97.3% 11 21 25 28 30 34 43
Brondby 1449 37 32.92 +4.08 87.2% 17 26 30 33 36 39 48
Lyngby 1417 32 27.20 +4.80 90.2% 13 20 24 27 30 34 42
Bronshoj 1367 25 28.20 -3.20 25.1% 14 21 25 28 31 35 45
Ikast 1360 28 27.00 +1.00 64.3% 12 20 24 27 30 34 43
B 1903 1344 29 28.97 +0.03 54.6% 14 22 26 29 32 36 43
Odense 1338 26 28.97 -2.97 28.0% 15 22 26 29 32 36 43
Vejle BK 1310 27 23.89 +3.11 81.3% 9 17 21 24 27 31 38
KB Copenhagen 1210 24 24.05 -0.05 54.3% 9 17 21 24 27 31 41
Herfolge 1176 22 24.83 -2.83 28.6% 11 18 22 25 28 32 41
Kastrup 1109 14 21.04 -7.04 5.3% 6 14 18 21 24 28 36
Esbjerg 1085 13 19.76 -6.76 5.8% 4 13 17 20 22 26 34
Randers 1071 11 14.90 -3.90 18.3% 3 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 AG B1 BRO BRO ESB HER IKA KC KAS LYN NAE ODE RAN VB
Aarhus GF —
1-1-0
3.35
2-0-0
2.71
1-1-0
3.43
2-0-0
4.31
2-0-0
4.08
1-1-0
3.59
2-0-0
4.12
2-0-0
3.54
0-1-1
3.80
1-0-1
3.37
2-0-0
3.82
1-1-0
4.73
0-2-0
4.02
B 1903
0-1-1
2.14
 —
2-0-0
1.96
0-1-1
3.08
2-0-0
3.51
1-1-0
3.27
1-0-1
2.98
1-0-1
3.18
1-1-0
3.34
1-1-0
2.88
0-2-0
3.12
0-1-1
2.88
1-0-1
4.29
0-1-1
3.45
Brondby
0-0-2
2.77
0-0-2
3.53
 —
2-0-0
3.62
2-0-0
3.96
2-0-0
3.33
1-0-1
3.23
2-0-0
3.89
2-0-0
3.83
1-0-1
3.22
1-0-1
3.18
2-0-0
3.17
1-1-0
4.33
2-0-0
4.00
Bronshoj
0-1-1
2.06
1-1-0
2.41
0-0-2
1.87
 —
2-0-0
3.77
2-0-0
3.22
1-0-1
3.02
0-0-2
3.28
0-1-1
3.61
0-1-1
3.20
0-1-1
2.78
1-0-1
2.50
2-0-0
4.29
1-0-1
2.97
Esbjerg
0-0-2
1.23
0-0-2
2.00
0-0-2
1.54
0-0-2
1.74
 —
0-1-1
2.00
0-0-2
1.81
0-1-1
2.29
1-1-0
2.64
0-1-1
1.81
1-0-1
2.20
0-1-1
1.91
1-0-1
3.41
0-2-0
1.81
Herfolge
0-0-2
1.43
0-1-1
2.22
0-0-2
2.16
0-0-2
2.27
1-1-0
3.49
 —
1-1-0
2.39
1-0-1
2.82
0-1-1
3.54
1-0-1
2.48
1-0-1
2.64
1-1-0
1.88
1-1-0
4.10
1-0-1
2.61
Ikast
0-1-1
1.90
1-0-1
2.50
1-0-1
2.26
1-0-1
2.47
2-0-0
3.69
0-1-1
3.11
 —
1-1-0
3.08
1-0-1
3.35
1-0-1
2.36
0-2-0
2.42
1-0-1
3.03
2-0-0
3.94
0-1-1
3.01
KB Copenhagen
0-0-2
1.39
1-0-1
2.31
0-0-2
1.61
2-0-0
2.21
1-1-0
3.20
1-0-1
2.67
0-1-1
2.42
 —
1-1-0
3.10
1-1-0
2.41
0-1-1
2.66
1-0-1
1.93
1-0-1
4.02
0-1-1
2.95
Kastrup
0-0-2
1.98
0-1-1
2.16
0-0-2
1.68
1-1-0
1.88
0-1-1
2.84
1-1-0
1.96
1-0-1
2.14
0-1-1
2.39
 —
0-1-1
2.01
0-0-2
1.65
0-0-2
1.85
1-0-1
3.43
0-0-2
2.38
Lyngby
1-1-0
1.70
0-1-1
2.61
1-0-1
2.27
1-1-0
2.29
1-1-0
3.68
1-0-1
3.01
1-0-1
3.13
0-1-1
3.08
1-1-0
3.49
 —
0-1-1
2.69
2-0-0
2.47
2-0-0
3.82
1-1-0
3.29
Naestved
1-0-1
2.13
0-2-0
2.37
1-0-1
2.31
1-1-0
2.71
1-0-1
3.30
1-0-1
2.85
0-2-0
3.07
1-1-0
2.83
2-0-0
3.86
1-1-0
2.80
 —
0-2-0
2.36
2-0-0
4.33
2-0-0
3.18
Odense
0-0-2
1.68
1-1-0
2.60
0-0-2
2.32
1-0-1
2.99
1-1-0
3.58
0-1-1
3.62
1-0-1
2.45
1-0-1
3.57
2-0-0
3.65
0-0-2
3.02
0-2-0
3.13
 —
2-0-0
4.30
1-1-0
3.23
Randers
0-1-1
0.82
1-0-1
1.23
0-1-1
1.19
0-0-2
1.22
1-0-1
2.09
0-1-1
1.41
0-0-2
1.58
1-0-1
1.48
1-0-1
2.06
0-0-2
1.69
0-0-2
1.18
0-0-2
1.21
 —
0-0-2
1.98
Vejle BK
0-2-0
1.49
1-1-0
2.05
0-0-2
1.50
1-0-1
2.52
0-2-0
3.69
1-0-1
2.88
1-1-0
2.48
1-1-0
2.54
2-0-0
3.12
0-1-1
2.20
0-0-2
2.31
0-1-1
2.26
2-0-0
3.53
 —

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 +6.8
Allowed 0.80 -7.7
Differential 0.92 +4.4

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
05.49%9.07%6.04%3.02%1.65%1.10%26.37%
19.07%10.99%6.32%4.95%0.55%0.55%32.42%
26.04%6.32%6.59%2.47%1.10%0.55%23.08%
33.02%4.95%2.47%1.10%—0.55%12.09%
41.65%0.55%1.10%———3.30%
5+1.10%0.55%0.55%0.55%——2.75%
Total26.37%32.42%23.08%12.09%3.30%2.75%100%

Summary Statistics

Scored Allowed Difference
Mean 1.43 1.43 +0.00
SD 1.27 1.27 1.86
CV 0.89 0.89 —
Max 7 7 +5
Min 0 0 -5

Games Played: 182

↓ Scored | Allowed →012345+Total
07.69%3.85%————11.54%
123.08%7.69%3.85%———34.62%
2—11.54%7.69%———19.23%
37.69%7.69%7.69%3.85%——26.92%
43.85%—————3.85%
5+—3.85%————3.85%
Total42.31%34.62%19.23%3.85%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.88 0.85 +1.04
SD 1.28 0.88 1.31
CV 0.68 1.04 —
Max 5 3 +4
Min 0 0 -1

Games Played: 26

↓ Scored | Allowed →012345+Total
011.54%———3.85%—15.38%
111.54%11.54%15.38%———38.46%
27.69%3.85%7.69%—7.69%—26.92%
33.85%7.69%—3.85%——15.38%
43.85%—————3.85%
5+———————
Total38.46%23.08%23.08%3.85%11.54%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.54 1.27 +0.27
SD 1.07 1.34 1.69
CV 0.69 1.06 —
Max 4 4 +4
Min 0 0 -4

Games Played: 26

↓ Scored | Allowed →012345+Total
0—11.54%3.85%———15.38%
13.85%3.85%7.69%3.85%——19.23%
211.54%19.23%————30.77%
3—15.38%11.54%———26.92%
4———————
5+3.85%—3.85%———7.69%
Total19.23%50.00%26.92%3.85%——100%

Summary Statistics

Scored Allowed Difference
Mean 2.00 1.15 +0.85
SD 1.36 0.78 1.62
CV 0.68 0.68 —
Max 5 3 +5
Min 0 0 -2

Games Played: 26

↓ Scored | Allowed →012345+Total
03.85%7.69%3.85%7.69%——23.08%
13.85%3.85%3.85%7.69%——19.23%
2——11.54%11.54%——23.08%
311.54%3.85%————15.38%
4——3.85%———3.85%
5+7.69%—3.85%3.85%——15.38%
Total26.92%15.38%26.92%30.77%——100%

Summary Statistics

Scored Allowed Difference
Mean 2.08 1.62 +0.46
SD 1.79 1.20 2.32
CV 0.86 0.74 —
Max 6 3 +5
Min 0 0 -3

Games Played: 26

↓ Scored | Allowed →012345+Total
07.69%11.54%15.38%3.85%3.85%—42.31%
17.69%15.38%3.85%15.38%—3.85%46.15%
2——3.85%——3.85%7.69%
3——3.85%———3.85%
4———————
5+———————
Total15.38%26.92%26.92%19.23%3.85%7.69%100%

Summary Statistics

Scored Allowed Difference
Mean 0.73 1.92 -1.19
SD 0.78 1.41 1.44
CV 1.06 0.73 —
Max 3 5 +1
Min 0 0 -4

Games Played: 26

↓ Scored | Allowed →012345+Total
0—15.38%7.69%—3.85%3.85%30.77%
111.54%3.85%3.85%3.85%——23.08%
27.69%11.54%19.23%3.85%—3.85%46.15%
3———————
4———————
5+———————
Total19.23%30.77%30.77%7.69%3.85%7.69%100%

Summary Statistics

Scored Allowed Difference
Mean 1.15 1.69 -0.54
SD 0.88 1.41 1.73
CV 0.76 0.83 —
Max 2 5 +2
Min 0 0 -5

Games Played: 26

↓ Scored | Allowed →012345+Total
0—7.69%3.85%7.69%——19.23%
17.69%19.23%7.69%3.85%3.85%—42.31%
23.85%3.85%3.85%———11.54%
33.85%7.69%3.85%———15.38%
43.85%—3.85%———7.69%
5+—3.85%————3.85%
Total19.23%42.31%23.08%11.54%3.85%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.62 1.38 +0.23
SD 1.39 1.06 1.99
CV 0.86 0.77 —
Max 5 4 +4
Min 0 0 -3

Games Played: 26

↓ Scored | Allowed →012345+Total
0—7.69%7.69%3.85%—3.85%23.08%
111.54%15.38%7.69%——3.85%38.46%
27.69%7.69%7.69%—7.69%—30.77%
3—3.85%————3.85%
4—3.85%————3.85%
5+———————
Total19.23%38.46%23.08%3.85%7.69%7.69%100%

Summary Statistics

Scored Allowed Difference
Mean 1.27 1.65 -0.38
SD 1.00 1.47 1.92
CV 0.79 0.89 —
Max 4 5 +3
Min 0 0 -5

Games Played: 26

↓ Scored | Allowed →012345+Total
015.38%23.08%11.54%3.85%3.85%—57.69%
13.85%—7.69%7.69%——19.23%
2—7.69%7.69%3.85%——19.23%
3———————
4—3.85%————3.85%
5+———————
Total19.23%34.62%26.92%15.38%3.85%—100%

Summary Statistics

Scored Allowed Difference
Mean 0.73 1.50 -0.77
SD 1.04 1.10 1.42
CV 1.43 0.74 —
Max 4 4 +3
Min 0 0 -4

Games Played: 26

↓ Scored | Allowed →012345+Total
07.69%—7.69%3.85%——19.23%
111.54%19.23%7.69%3.85%——42.31%
27.69%7.69%3.85%———19.23%
37.69%3.85%3.85%———15.38%
4———————
5+———3.85%——3.85%
Total34.62%30.77%23.08%11.54%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.54 1.12 +0.42
SD 1.48 1.03 1.68
CV 0.96 0.93 —
Max 7 3 +4
Min 0 0 -3

Games Played: 26

↓ Scored | Allowed →012345+Total
07.69%3.85%————11.54%
115.38%19.23%3.85%3.85%——42.31%
211.54%—7.69%3.85%——23.08%
33.85%11.54%————15.38%
43.85%—3.85%———7.69%
5+———————
Total42.31%34.62%15.38%7.69%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.65 0.88 +0.77
SD 1.13 0.95 1.39
CV 0.68 1.08 —
Max 4 3 +4
Min 0 0 -2

Games Played: 26

↓ Scored | Allowed →012345+Total
03.85%15.38%—7.69%——26.92%
1—15.38%3.85%3.85%——23.08%
215.38%7.69%3.85%7.69%——34.62%
33.85%3.85%————7.69%
43.85%—3.85%———7.69%
5+———————
Total26.92%42.31%11.54%19.23%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.46 1.23 +0.23
SD 1.21 1.07 1.77
CV 0.83 0.87 —
Max 4 3 +4
Min 0 0 -3

Games Played: 26

↓ Scored | Allowed →012345+Total
0—19.23%11.54%3.85%3.85%3.85%42.31%
111.54%3.85%3.85%11.54%3.85%—34.62%
2—3.85%7.69%3.85%——15.38%
3—————7.69%7.69%
4———————
5+———————
Total11.54%26.92%23.08%19.23%7.69%11.54%100%

Summary Statistics

Scored Allowed Difference
Mean 0.88 2.31 -1.42
SD 0.95 1.78 1.63
CV 1.08 0.77 —
Max 3 7 +1
Min 0 0 -5

Games Played: 26

↓ Scored | Allowed →012345+Total
011.54%—11.54%—3.85%3.85%30.77%
13.85%15.38%7.69%3.85%——30.77%
211.54%3.85%————15.38%
3—3.85%3.85%7.69%——15.38%
43.85%—————3.85%
5+3.85%—————3.85%
Total34.62%23.08%23.08%11.54%3.85%3.85%100%

Summary Statistics

Scored Allowed Difference
Mean 1.42 1.38 +0.04
SD 1.39 1.39 2.18
CV 0.98 1.00 —
Max 5 5 +5
Min 0 0 -5

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 Naestved 35 27.57 +7.43
2 Aarhus GF 41 34.72 +6.28
3 Lyngby 32 27.20 +4.80
4 Brondby 37 32.92 +4.08
5 Vejle BK 27 23.89 +3.11

Biggest Disappointments

# Team Actual Sim vsSim
1 Kastrup 14 21.04 -7.04
2 Esbjerg 13 19.76 -6.76
3 Randers 11 14.90 -3.90
4 Bronshoj 25 28.20 -3.20
5 Odense 26 28.97 -2.97

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 Aarhus GF 9 Aug 30 – Oct 26 1 in 163
2 Brondby 7 Apr 27 – Aug 3 1 in 91
3 Vejle BK 3 Aug 31 – Sep 14 1 in 51
4 Lyngby 3 Nov 2 – Nov 16 1 in 32
5 Herfolge 4 Apr 6 – Apr 27 1 in 27

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Herfolge 6 Sep 14 – Oct 19 1 in 89
2 Brondby 3 Sep 28 – Oct 12 1 in 48
3 Lyngby 3 May 4 – May 14 1 in 39
4 KB Copenhagen 3 Sep 6 – Sep 14 1 in 27
5 Vejle BK 4 Jul 20 – Aug 10 1 in 26

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Aarhus GF 24 Apr 6 – Nov 2 1 in 343
2 Vejle BK 11 Aug 13 – Oct 19 1 in 311
3 Naestved 14 Jul 20 – Oct 12 1 in 256
4 B 1903 10 Apr 6 – Aug 3 1 in 71
5 Lyngby 7 Aug 24 – Oct 5 1 in 19

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Esbjerg 18 Apr 27 – Oct 11 1 in 150
2 Kastrup 14 May 14 – Oct 5 1 in 95
3 Herfolge 10 Sep 7 – Nov 9 1 in 41
4 Brondby 5 Sep 14 – Oct 12 1 in 32
5 Odense 7 May 11 – Aug 13 1 in 24

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
Aarhus GF49.18%22.94%11.43%7.09%4.01%2.55%1.19%0.90%0.47%0.13%0.09%0.02%——
Brondby27.23%26.37%15.54%11.02%7.21%4.74%3.17%1.96%1.37%0.77%0.39%0.16%0.06%0.01%
Naestved3.00%7.35%10.01%11.68%11.76%11.32%10.70%9.82%8.16%6.61%4.98%3.04%1.26%0.31%
Lyngby2.39%5.78%9.06%9.90%11.00%11.20%11.79%10.36%9.00%7.56%5.92%3.79%1.97%0.28%
B 19035.54%9.54%13.03%13.27%12.49%11.29%9.55%8.10%6.71%4.61%3.38%1.68%0.67%0.14%
Ikast2.09%5.18%8.36%9.14%10.00%11.48%11.38%10.67%10.01%8.25%6.46%4.61%2.03%0.34%
Vejle BK0.32%1.29%2.22%3.85%5.15%6.38%8.21%10.46%12.66%13.71%14.20%11.66%7.79%2.10%
Odense5.03%10.35%13.29%12.39%12.65%10.88%9.23%8.30%6.88%5.06%3.25%1.90%0.70%0.09%
Bronshoj4.02%7.88%10.86%12.07%12.68%11.75%10.60%9.37%7.13%5.58%4.55%2.30%1.02%0.19%
KB Copenhagen0.40%1.10%2.36%3.73%4.73%6.67%8.89%10.22%12.13%13.89%14.21%11.85%7.73%2.09%
Herfolge0.75%1.97%3.06%4.56%5.94%8.04%9.25%11.09%11.85%13.81%12.74%9.46%5.74%1.74%
Kastrup0.04%0.19%0.56%0.90%1.53%2.32%3.82%5.21%7.78%10.80%14.83%22.53%20.96%8.53%
Esbjerg0.01%0.06%0.21%0.37%0.82%1.29%2.10%3.36%5.33%8.04%12.30%20.33%31.22%14.56%
Randers——0.01%0.03%0.03%0.09%0.12%0.18%0.52%1.18%2.70%6.67%18.85%69.62%

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
+12.09%
Slight Edge
43.96%24.18%31.87%
Elo Value
Home Edge: 42.20 Elo pts.
203 Elo
0.005 goals per Elo point
0600
Scoring Tilt
Expected
+0.26 goals
Neutral
-2+0.21+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
3.1
Top-Heavy
124610
Champion Preseason Odds
49%
Aarhus GF, 1st of 14
LongshotFavorite
Title Margin
Expected
0.15/gm
Tight Race
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 3.25 * Some Luck: 3.25 to 4.88 * Lucky: 4.88 to 6.51 * Wild Swing: 6.51 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 1.71 * Close: 1.71 to 2.57 * Off: 2.57 to 3.42 * Way Off: 3.42 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 0.66 * A Surprise: 0.66 to 1.05 * Several Surprises: 1.05 to 1.45 * Many Surprises: 1.45 and up.
Luck Spread
Expected
4.49 points
Some Luck
04.0710
Average Finish Error
Expected
1.71
Close
02.145
Biggest Overachiever
Expected 96.43%
97.32%
Naestved
50100
Biggest Underachiever
Expected 3.57%
5.34%
Kastrup
050
Season Outliers
Expected
2 of 14
Minimal Outliers
01.47
Unexpected Relegations
Expected
0 of 2
As Expected
00.72

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
0.19
Top-Heavy
00.120.180.260.5
Noll-Scully
Coin-flip
1.75
Strong Separation
01.003
Interquartile Edge
78%
Clear Edge
50%60%70%80%100%
Best vs. Worst
Baseline 96%
93%
Dominant
50%100%
Close Games
Expected
60%
Very Frequent
0%58%100%
Blowouts
Expected
16%
Frequent
0%18%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
0.58
Predictable
00.602
Matchup Imbalance
0.37
Lopsided
00.10.180.280.5
Strangeness
Expected
1.24
Wilder Than Modeled
01.002
Repeatability
0.55
Some Carryover
00.30.60.851
Upset Rate
Expected
23%
Chalky
0%24%50%
Clear Favorite Upset Rate
Expected
16%
As Expected
0%19%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 0.25 * Well Above Noise: 0.25 and up.
Probability calibration
0.81
Excellent
0.010.050.10.51
Calibration slope
Ideal
1.20
Underconfident
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.039
Well Within Noise
00.1260.3

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 Direct relegation
Aarhus GF 100% —
Brondby 99.93% 0.07%
Odense 99.21% 0.79%
B 1903 99.19% 0.81%
Bronshoj 98.79% 1.21%
Naestved 98.43% 1.57%
Lyngby 97.75% 2.25%
Ikast 97.63% 2.37%
Herfolge 92.52% 7.48%
KB Copenhagen 90.18% 9.82%
Vejle BK 90.11% 9.89%
Kastrup 70.51% 29.49%
Esbjerg 54.22% 45.78%
Randers 11.53% 88.47%

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
1986-04-06 Naestved W 3-2 1312 1292 48.20% 25.55% 26.24% +10.6 2
1986-04-06 @ Esbjerg L 2-3 1292 1312 26.24% 25.55% 48.20% -10.6 0
1986-04-06 Aarhus GF D 0-0 1308 1337 41.93% 25.64% 32.44% -0.9 1
1986-04-06 @ B 1903 D 0-0 1337 1308 32.44% 25.64% 41.93% +0.9 1
1986-04-06 Vejle BK W 2-0 1307 1297 47.11% 25.58% 27.32% +23.0 2
1986-04-06 @ Herfolge L 0-2 1297 1307 27.32% 25.58% 47.11% -23.0 0
1986-04-06 Brondby L 1-2 1303 1342 40.62% 25.64% 33.74% -15.5 0
1986-04-06 @ Ikast W 2-1 1342 1303 33.74% 25.64% 40.62% +15.5 2
1986-04-06 Kastrup D 2-2 1283 1297 43.88% 25.62% 30.50% -0.8 1
1986-04-06 @ KB Copenhagen D 2-2 1297 1283 30.50% 25.62% 43.88% +0.8 1
1986-04-06 Bronshoj W 3-0 1318 1284 49.88% 25.51% 24.61% +30.7 2
1986-04-06 @ Odense L 0-3 1284 1318 24.61% 25.51% 49.88% -30.7 0
1986-04-06 Lyngby L 1-3 1223 1330 31.18% 25.54% 43.28% -22.0 0
1986-04-06 @ Randers W 3-1 1330 1223 43.28% 25.54% 31.18% +22.0 2
1986-04-12 KB Copenhagen L 0-1 1254 1282 42.11% 25.63% 32.26% -17.0 0
1986-04-12 @ Bronshoj W 1-0 1282 1254 32.26% 25.63% 42.11% +17.0 3
1986-04-13 Ikast D 2-2 1338 1288 51.82% 25.44% 22.74% -1.9 2
1986-04-13 @ Aarhus GF D 2-2 1288 1338 22.74% 25.44% 51.82% +1.9 1
1986-04-13 Randers W 5-0 1358 1201 61.73% 24.75% 13.52% +29.9 4
1986-04-13 @ Brondby L 0-5 1201 1358 13.52% 24.75% 61.73% -29.9 0
1986-04-13 B 1903 D 0-0 1298 1307 44.64% 25.61% 29.75% -1.4 2
1986-04-13 @ Kastrup D 0-0 1307 1298 29.75% 25.61% 44.64% +1.4 2
1986-04-13 Esbjerg W 2-0 1352 1322 49.48% 25.52% 25.00% +21.4 4
1986-04-13 @ Lyngby L 0-2 1322 1352 25.00% 25.52% 49.48% -21.4 2
1986-04-13 Herfolge L 1-2 1282 1330 39.29% 25.64% 35.07% -15.1 0
1986-04-13 @ Naestved W 2-1 1330 1282 35.07% 25.64% 39.29% +15.1 4
1986-04-13 Odense L 0-2 1274 1349 35.58% 25.61% 38.80% -28.1 0
1986-04-13 @ Vejle BK W 2-0 1349 1274 38.80% 25.61% 35.58% +28.1 4
1986-04-20 Brondby W 1-0 1336 1388 38.89% 25.64% 35.47% +14.9 4
1986-04-20 @ Aarhus GF L 0-1 1388 1336 35.47% 25.64% 38.89% -14.9 4
1986-04-20 Randers W 1-0 1301 1172 59.54% 24.97% 15.49% +7.6 4
1986-04-20 @ Esbjerg L 0-1 1172 1301 15.49% 24.97% 59.54% -7.6 0
1986-04-20 Bronshoj D 2-2 1309 1237 54.12% 25.34% 20.54% -2.2 3
1986-04-20 @ B 1903 D 2-2 1237 1309 20.54% 25.34% 54.12% +2.2 1
1986-04-20 Lyngby W 2-1 1345 1374 42.06% 25.63% 32.30% +13.1 6
1986-04-20 @ Herfolge L 1-2 1374 1345 32.30% 25.63% 42.06% -13.1 4
1986-04-20 Kastrup L 1-4 1290 1297 44.89% 25.61% 29.50% -41.3 1
1986-04-20 @ Ikast W 4-1 1297 1290 29.50% 25.61% 44.89% +41.3 4
1986-04-20 Vejle BK D 1-1 1299 1246 52.08% 25.43% 22.49% -2.6 4
1986-04-20 @ KB Copenhagen D 1-1 1246 1299 22.49% 25.43% 52.08% +2.6 1
1986-04-20 Naestved D 1-1 1377 1267 57.82% 25.11% 17.06% -3.7 5
1986-04-20 @ Odense D 1-1 1267 1377 17.06% 25.11% 57.82% +3.7 1
1986-04-26 Ikast W 3-0 1239 1248 44.56% 25.61% 29.82% +35.7 3
1986-04-26 @ Bronshoj L 0-3 1248 1239 29.82% 25.61% 44.56% -35.7 1
1986-04-27 Esbjerg W 2-0 1373 1309 53.32% 25.38% 21.30% +18.8 6
1986-04-27 @ Brondby L 0-2 1309 1373 21.30% 25.38% 53.32% -18.8 4
1986-04-27 Aarhus GF L 0-3 1338 1351 44.09% 25.62% 30.29% -48.2 4
1986-04-27 @ Kastrup W 3-0 1351 1338 30.29% 25.62% 44.09% +48.2 6
1986-04-27 Odense W 1-0 1361 1373 44.22% 25.62% 30.17% +13.2 6
1986-04-27 @ Lyngby L 0-1 1373 1361 30.17% 25.62% 44.22% -13.2 5
1986-04-27 KB Copenhagen D 2-2 1270 1296 42.42% 25.63% 31.95% -0.6 2
1986-04-27 @ Naestved D 2-2 1296 1270 31.95% 25.63% 42.42% +0.6 5
1986-04-27 Herfolge L 0-1 1164 1359 21.03% 25.11% 53.86% -9.8 0
1986-04-27 @ Randers W 1-0 1359 1164 53.86% 25.11% 21.03% +9.9 8
1986-04-27 B 1903 D 3-3 1248 1306 37.95% 25.63% 36.42% -0.1 2
1986-04-27 @ Vejle BK D 3-3 1306 1248 36.42% 25.63% 37.95% +0.1 4
1986-05-04 Bronshoj D 1-1 1400 1275 59.16% 25.00% 15.84% -3.9 7
1986-05-04 @ Aarhus GF D 1-1 1275 1400 15.84% 25.00% 59.16% +3.9 4
1986-05-04 Naestved D 1-1 1306 1270 50.26% 25.50% 24.25% -2.2 5
1986-05-04 @ B 1903 D 1-1 1270 1306 24.25% 25.50% 50.26% +2.2 3
1986-05-04 Esbjerg D 2-2 1368 1290 54.81% 25.30% 19.89% -2.3 9
1986-05-04 @ Herfolge D 2-2 1290 1368 19.89% 25.30% 54.81% +2.3 5
1986-05-04 Vejle BK D 1-1 1213 1248 41.08% 25.64% 33.28% -0.6 2
1986-05-04 @ Ikast D 1-1 1248 1213 33.28% 25.64% 41.08% +0.6 3
1986-05-04 Brondby L 2-3 1290 1392 31.85% 25.56% 42.59% -12.2 4
1986-05-04 @ Kastrup W 3-2 1392 1290 42.59% 25.56% 31.85% +12.2 8
1986-05-04 Lyngby W 2-0 1297 1374 35.22% 25.61% 39.17% +30.2 7
1986-05-04 @ KB Copenhagen L 0-2 1374 1297 39.17% 25.61% 35.22% -30.2 6
1986-05-04 Randers W 2-0 1360 1154 65.22% 24.27% 10.51% +10.2 7
1986-05-04 @ Odense L 0-2 1154 1360 10.51% 24.27% 65.22% -10.2 0
1986-05-11 Herfolge W 2-0 1404 1366 50.40% 25.49% 24.11% +20.8 10
1986-05-11 @ Brondby L 0-2 1366 1404 24.11% 25.49% 50.40% -20.8 9
1986-05-11 Kastrup L 1-2 1279 1278 45.91% 25.60% 28.49% -17.2 4
1986-05-11 @ Bronshoj W 2-1 1278 1279 28.49% 25.60% 45.91% +17.2 6
1986-05-11 Odense D 1-1 1292 1370 35.11% 25.61% 39.28% +0.3 6
1986-05-11 @ Esbjerg D 1-1 1370 1292 39.28% 25.61% 35.11% -0.3 8
1986-05-11 B 1903 L 1-2 1344 1304 50.58% 25.49% 23.93% -18.7 6
1986-05-11 @ Lyngby W 2-1 1304 1344 23.93% 25.49% 50.58% +18.7 7
1986-05-11 Ikast D 1-1 1272 1212 52.85% 25.40% 21.75% -2.7 4
1986-05-11 @ Naestved D 1-1 1212 1272 21.75% 25.40% 52.85% +2.7 3
1986-05-11 KB Copenhagen W 1-0 1144 1327 22.21% 25.19% 52.61% +20.5 2
1986-05-11 @ Randers L 0-1 1327 1144 52.61% 25.19% 22.21% -20.5 7
1986-05-11 Aarhus GF D 3-3 1249 1396 26.24% 25.39% 48.37% +1.2 4
1986-05-11 @ Vejle BK D 3-3 1396 1249 48.37% 25.39% 26.24% -1.2 8
1986-05-14 Naestved W 1-0 1394 1269 59.18% 25.00% 15.82% +7.8 10
1986-05-14 @ Aarhus GF L 0-1 1269 1394 15.82% 25.00% 59.18% -7.8 4
1986-05-14 Brondby L 2-3 1261 1425 24.32% 25.30% 50.38% -9.9 4
1986-05-14 @ Bronshoj W 3-2 1425 1261 50.38% 25.30% 24.32% +9.9 12
1986-05-14 Randers W 1-0 1323 1164 61.90% 24.73% 13.37% +6.7 9
1986-05-14 @ B 1903 L 0-1 1164 1323 13.37% 24.73% 61.90% -6.7 2
1986-05-14 Lyngby W 3-0 1215 1325 30.76% 25.53% 43.71% +47.8 5
1986-05-14 @ Ikast L 0-3 1325 1215 43.71% 25.53% 30.76% -47.8 6
1986-05-14 Vejle BK L 0-2 1295 1250 51.17% 25.47% 23.37% -37.8 6
1986-05-14 @ Kastrup W 2-0 1250 1295 23.37% 25.47% 51.17% +37.8 6
1986-05-14 Esbjerg D 1-1 1306 1292 47.56% 25.57% 26.88% -1.7 8
1986-05-14 @ KB Copenhagen D 1-1 1292 1306 26.88% 25.57% 47.56% +1.7 7
1986-05-14 Herfolge D 2-2 1370 1345 48.81% 25.54% 25.65% -1.5 9
1986-05-14 @ Odense D 2-2 1345 1370 25.65% 25.54% 48.81% +1.5 10
1986-07-20 B 1903 L 1-3 1294 1330 41.09% 25.64% 33.27% -27.2 7
1986-07-20 @ Esbjerg W 3-1 1330 1294 33.27% 25.64% 41.09% +27.2 11
1986-07-20 KB Copenhagen W 2-0 1347 1305 50.87% 25.48% 23.66% +20.5 12
1986-07-20 @ Herfolge L 0-2 1305 1347 23.66% 25.48% 50.87% -20.5 8
1986-07-20 Kastrup W 3-1 1262 1257 46.37% 25.59% 28.05% +20.3 6
1986-07-20 @ Naestved L 1-3 1257 1262 28.05% 25.59% 46.37% -20.3 6
1986-07-20 Ikast L 0-1 1158 1263 31.44% 25.55% 43.01% -13.6 2
1986-07-20 @ Randers W 1-0 1263 1158 43.01% 25.55% 31.44% +13.6 7
1986-07-20 Bronshoj L 0-5 1288 1251 50.23% 25.50% 24.27% -86.9 6
1986-07-20 @ Vejle BK W 5-0 1251 1288 24.27% 25.50% 50.23% +86.9 6
1986-07-23 Odense W 2-1 1435 1368 53.55% 25.37% 21.08% +9.3 14
1986-07-23 @ Brondby L 1-2 1368 1435 21.08% 25.37% 53.55% -9.3 9
1986-07-23 Aarhus GF D 1-1 1277 1402 28.86% 25.48% 45.66% +1.4 7
1986-07-23 @ Lyngby D 1-1 1402 1277 45.66% 25.48% 28.86% -1.4 11
1986-07-26 Naestved D 2-2 1338 1282 52.49% 25.42% 22.10% -2.0 7
1986-07-26 @ Bronshoj D 2-2 1282 1338 22.10% 25.42% 52.49% +2.0 7
1986-07-27 Randers W 4-0 1401 1144 68.23% 23.68% 8.09% +15.1 13
1986-07-27 @ Aarhus GF L 0-4 1144 1401 8.09% 23.68% 68.23% -15.1 2
1986-07-27 Herfolge D 2-2 1357 1367 44.45% 25.62% 29.93% -0.9 12
1986-07-27 @ B 1903 D 2-2 1367 1357 29.93% 25.62% 44.45% +0.9 13
1986-07-27 Esbjerg W 5-1 1276 1267 46.96% 25.58% 27.46% +36.5 9
1986-07-27 @ Ikast L 1-5 1267 1276 27.46% 25.58% 46.96% -36.5 7
1986-07-27 Lyngby D 0-0 1237 1279 40.21% 25.64% 34.15% -0.5 7
1986-07-27 @ Kastrup D 0-0 1279 1237 34.15% 25.64% 40.21% +0.6 8
1986-07-27 Odense W 3-1 1284 1359 35.57% 25.61% 38.81% +26.0 10
1986-07-27 @ KB Copenhagen L 1-3 1359 1284 38.81% 25.61% 35.57% -26.0 9
1986-07-27 Brondby L 1-2 1201 1444 16.65% 24.73% 58.62% -7.6 6
1986-07-27 @ Vejle BK W 2-1 1444 1201 58.62% 24.73% 16.65% +7.6 16
1986-08-03 KB Copenhagen W 2-1 1452 1310 60.55% 24.88% 14.58% +6.8 18
1986-08-03 @ Brondby L 1-2 1310 1452 14.58% 24.88% 60.55% -6.8 10
1986-08-03 Aarhus GF L 1-3 1231 1416 21.97% 25.17% 52.86% -16.7 7
1986-08-03 @ Esbjerg W 3-1 1416 1231 52.86% 25.17% 21.97% +16.7 15
1986-08-03 Ikast W 2-1 1368 1313 52.36% 25.42% 22.22% +9.7 15
1986-08-03 @ Herfolge L 1-2 1313 1368 22.22% 25.42% 52.36% -9.7 9
1986-08-03 Bronshoj W 3-0 1279 1336 38.05% 25.63% 36.32% +41.4 10
1986-08-03 @ Lyngby L 0-3 1336 1279 36.32% 25.63% 38.05% -41.4 7
1986-08-03 Vejle BK W 2-0 1284 1193 55.98% 25.24% 18.78% +17.0 9
1986-08-03 @ Naestved L 0-2 1193 1284 18.78% 25.24% 55.98% -17.0 6
1986-08-03 B 1903 D 1-1 1333 1356 42.79% 25.63% 31.58% -0.9 10
1986-08-03 @ Odense D 1-1 1356 1333 31.58% 25.63% 42.79% +0.9 13
1986-08-03 Kastrup W 1-0 1129 1236 31.16% 25.54% 43.30% +17.3 4
1986-08-03 @ Randers L 0-1 1236 1129 43.30% 25.54% 31.16% -17.3 7
1986-08-09 Randers W 1-0 1295 1146 61.12% 24.82% 14.06% +7.0 9
1986-08-09 @ Bronshoj L 0-1 1146 1295 14.06% 24.82% 61.12% -7.0 4
1986-08-10 Herfolge W 3-2 1433 1378 52.28% 25.42% 22.29% +9.3 17
1986-08-10 @ Aarhus GF L 2-3 1378 1433 22.29% 25.42% 52.28% -9.3 15
1986-08-10 KB Copenhagen L 1-2 1357 1303 52.15% 25.43% 22.42% -19.2 13
1986-08-10 @ B 1903 W 2-1 1303 1357 22.42% 25.43% 52.15% +19.2 12
1986-08-10 Odense W 1-0 1303 1332 41.97% 25.63% 32.39% +13.9 11
1986-08-10 @ Ikast L 0-1 1332 1303 32.39% 25.63% 41.97% -13.9 10
1986-08-10 Esbjerg D 0-0 1219 1214 46.43% 25.59% 27.99% -1.7 8
1986-08-10 @ Kastrup D 0-0 1214 1219 27.99% 25.59% 46.43% +1.7 8
1986-08-10 Brondby W 1-0 1301 1458 24.96% 25.33% 49.71% +19.5 11
1986-08-10 @ Naestved L 0-1 1458 1301 49.71% 25.33% 24.96% -19.5 18
1986-08-10 Lyngby L 1-2 1176 1321 26.54% 25.40% 48.06% -11.2 6
1986-08-10 @ Vejle BK W 2-1 1321 1176 48.06% 25.40% 26.54% +11.2 12
1986-08-13 B 1903 L 0-2 1439 1338 57.04% 25.17% 17.79% -41.9 18
1986-08-13 @ Brondby W 2-0 1338 1439 17.79% 25.17% 57.04% +41.9 15
1986-08-13 Bronshoj L 0-3 1216 1302 33.94% 25.59% 40.47% -39.4 8
1986-08-13 @ Esbjerg W 3-0 1302 1216 40.47% 25.59% 33.94% +39.4 11
1986-08-13 Kastrup D 2-2 1369 1217 61.35% 24.79% 13.86% -3.3 16
1986-08-13 @ Herfolge D 2-2 1217 1369 13.86% 24.79% 61.35% +3.3 9
1986-08-13 Naestved D 0-0 1332 1320 47.25% 25.57% 27.18% -1.9 13
1986-08-13 @ Lyngby D 0-0 1320 1332 27.18% 25.57% 47.25% +1.9 12
1986-08-13 Aarhus GF L 2-3 1318 1442 29.03% 25.49% 45.49% -11.4 10
1986-08-13 @ Odense W 3-2 1442 1318 45.49% 25.49% 29.03% +11.4 19
1986-08-13 Vejle BK L 0-2 1139 1165 42.40% 25.63% 31.97% -32.1 4
1986-08-13 @ Randers W 2-0 1165 1139 31.97% 25.63% 42.40% +32.2 8
1986-08-16 Herfolge W 5-0 1341 1365 42.65% 25.63% 31.71% +60.3 13
1986-08-16 @ Bronshoj L 0-5 1365 1341 31.71% 25.63% 42.65% -60.3 16
1986-08-17 KB Copenhagen W 5-1 1453 1323 59.65% 24.96% 15.39% +22.7 21
1986-08-17 @ Aarhus GF L 1-5 1323 1453 15.39% 24.96% 59.65% -22.6 12
1986-08-17 Lyngby W 3-1 1397 1330 53.63% 25.36% 21.00% +16.1 20
1986-08-17 @ Brondby L 1-3 1330 1397 21.00% 25.36% 53.63% -16.1 13
1986-08-17 B 1903 L 0-1 1317 1379 37.28% 25.63% 37.09% -15.4 11
1986-08-17 @ Ikast W 1-0 1379 1317 37.09% 25.63% 37.28% +15.4 17
1986-08-17 Odense L 0-4 1220 1307 33.95% 25.59% 40.46% -51.5 9
1986-08-17 @ Kastrup W 4-0 1307 1220 40.46% 25.59% 33.95% +51.5 12
1986-08-17 Randers W 3-1 1322 1107 65.80% 24.17% 10.03% +8.4 14
1986-08-17 @ Naestved L 1-3 1107 1322 10.03% 24.17% 65.80% -8.4 4
1986-08-17 Esbjerg D 1-1 1197 1176 48.43% 25.55% 26.03% -1.9 9
1986-08-17 @ Vejle BK D 1-1 1176 1197 26.03% 25.55% 48.43% +1.9 9
1986-08-24 Vejle BK D 0-0 1476 1196 69.46% 23.38% 7.16% -6.7 22
1986-08-24 @ Aarhus GF D 0-0 1196 1476 7.16% 23.38% 69.46% +6.7 10
1986-08-24 Lyngby D 1-1 1395 1314 55.06% 25.29% 19.65% -3.1 18
1986-08-24 @ B 1903 D 1-1 1314 1395 19.65% 25.29% 55.06% +3.1 14
1986-08-24 Brondby L 1-3 1305 1413 31.02% 25.54% 43.44% -21.9 16
1986-08-24 @ Herfolge W 3-1 1413 1305 43.44% 25.54% 31.02% +21.9 22
1986-08-24 Naestved D 1-1 1301 1331 41.96% 25.64% 32.41% -0.8 12
1986-08-24 @ Ikast D 1-1 1331 1301 32.41% 25.64% 41.96% +0.8 15
1986-08-24 Bronshoj D 0-0 1169 1402 17.52% 24.82% 57.67% +4.0 10
1986-08-24 @ Kastrup D 0-0 1402 1169 57.67% 24.82% 17.52% -4.0 14
1986-08-24 Randers W 4-1 1300 1099 64.92% 24.32% 10.76% +12.7 14
1986-08-24 @ KB Copenhagen L 1-4 1099 1300 10.76% 24.32% 64.92% -12.7 4
1986-08-24 Esbjerg W 2-0 1358 1178 63.48% 24.53% 11.99% +11.5 14
1986-08-24 @ Odense L 0-2 1178 1358 11.99% 24.53% 63.48% -11.5 9
1986-08-30 Aarhus GF L 1-3 1398 1469 36.01% 25.62% 38.37% -24.5 14
1986-08-30 @ Bronshoj W 3-1 1469 1398 38.37% 25.62% 36.01% +24.5 24
1986-08-31 Kastrup W 2-1 1435 1173 68.53% 23.61% 7.86% +3.9 24
1986-08-31 @ Brondby L 1-2 1173 1435 7.86% 23.61% 68.53% -3.9 10
1986-08-31 Herfolge L 0-1 1167 1283 29.94% 25.51% 44.55% -13.1 9
1986-08-31 @ Esbjerg W 1-0 1283 1167 44.55% 25.51% 29.94% +13.1 18
1986-08-31 KB Copenhagen D 1-1 1317 1313 46.33% 25.59% 28.08% -1.5 15
1986-08-31 @ Lyngby D 1-1 1313 1317 28.08% 25.59% 46.33% +1.5 15
1986-08-31 B 1903 D 0-0 1331 1392 37.60% 25.63% 36.77% -0.1 16
1986-08-31 @ Naestved D 0-0 1392 1331 36.77% 25.63% 37.60% +0.1 19
1986-08-31 Odense L 0-2 1086 1370 13.62% 24.34% 62.05% -12.8 4
1986-08-31 @ Randers W 2-0 1370 1086 62.05% 24.34% 13.62% +12.8 16
1986-08-31 Ikast W 2-0 1202 1301 32.31% 25.57% 42.12% +32.0 12
1986-08-31 @ Vejle BK L 0-2 1301 1202 42.12% 25.57% 32.31% -32.0 12
1986-09-06 Ikast L 2-4 1314 1269 51.27% 25.46% 23.27% -29.3 15
1986-09-06 @ KB Copenhagen W 4-2 1269 1314 23.27% 25.46% 51.27% +29.3 14
1986-09-07 Kastrup W 1-0 1494 1169 71.53% 22.77% 5.70% +3.0 26
1986-09-07 @ Aarhus GF L 0-1 1169 1494 5.70% 22.77% 71.53% -3.0 10
1986-09-07 Brondby L 2-5 1154 1439 13.49% 24.32% 62.19% -13.4 9
1986-09-07 @ Esbjerg W 5-2 1439 1154 62.19% 24.32% 13.49% +13.4 26
1986-09-07 Vejle BK L 1-2 1392 1234 61.83% 24.74% 13.43% -22.7 19
1986-09-07 @ B 1903 W 2-1 1234 1392 13.43% 24.74% 61.83% +22.7 14
1986-09-07 Randers D 2-2 1296 1073 66.30% 24.08% 9.62% -4.0 19
1986-09-07 @ Herfolge D 2-2 1073 1296 9.62% 24.08% 66.30% +4.0 5
1986-09-07 Bronshoj W 3-1 1298 1373 35.52% 25.61% 38.87% +26.0 16
1986-09-07 @ Ikast L 1-3 1373 1298 38.87% 25.61% 35.52% -26.0 14
1986-09-07 Naestved L 2-4 1285 1331 39.58% 25.64% 34.78% -23.6 15
1986-09-07 @ KB Copenhagen W 4-2 1331 1285 34.78% 25.64% 39.58% +23.6 18
1986-09-07 Lyngby L 2-3 1382 1315 53.61% 25.37% 21.03% -18.7 16
1986-09-07 @ Odense W 3-2 1315 1382 21.03% 25.37% 53.61% +18.7 17
1986-09-13 B 1903 W 4-2 1347 1369 42.91% 25.63% 31.46% +19.8 16
1986-09-13 @ Bronshoj L 2-4 1369 1347 31.46% 25.63% 42.91% -19.8 19
1986-09-14 Aarhus GF L 1-2 1452 1497 39.88% 25.64% 34.48% -15.3 26
1986-09-14 @ Brondby W 2-1 1497 1452 34.48% 25.64% 39.88% +15.3 28
1986-09-14 Ikast L 1-3 1166 1324 24.94% 25.33% 49.73% -18.5 10
1986-09-14 @ Kastrup W 3-1 1324 1166 49.73% 25.33% 24.94% +18.5 18
1986-09-14 Herfolge W 1-0 1334 1292 50.85% 25.48% 23.67% +10.9 19
1986-09-14 @ Lyngby L 0-1 1292 1334 23.67% 25.48% 50.85% -10.9 19
1986-09-14 Odense D 1-1 1355 1364 44.66% 25.61% 29.73% -1.2 19
1986-09-14 @ Naestved D 1-1 1364 1355 29.73% 25.61% 44.66% +1.2 17
1986-09-14 Esbjerg W 1-0 1077 1140 37.25% 25.63% 37.12% +15.4 7
1986-09-14 @ Randers L 0-1 1140 1077 37.12% 25.63% 37.25% -15.4 9
1986-09-14 KB Copenhagen W 5-0 1257 1261 45.23% 25.61% 29.16% +56.5 16
1986-09-14 @ Vejle BK L 0-5 1261 1257 29.16% 25.61% 45.23% -56.5 15
1986-09-21 Lyngby D 1-1 1125 1345 18.61% 24.92% 56.47% +3.4 10
1986-09-21 @ Esbjerg D 1-1 1345 1125 56.47% 24.92% 18.61% -3.4 20
1986-09-21 Kastrup W 1-0 1349 1148 64.96% 24.31% 10.73% +5.5 21
1986-09-21 @ B 1903 L 0-1 1148 1349 10.73% 24.31% 64.96% -5.5 10
1986-09-21 Naestved L 0-1 1281 1354 35.91% 25.62% 38.48% -15.0 19
1986-09-21 @ Herfolge W 1-0 1354 1281 38.48% 25.62% 35.91% +15.0 21
1986-09-21 Aarhus GF L 0-1 1342 1512 23.65% 25.27% 51.08% -10.8 18
1986-09-21 @ Ikast W 1-0 1512 1342 51.08% 25.27% 23.65% +10.8 30
1986-09-21 Bronshoj W 2-0 1205 1367 24.47% 25.31% 50.22% +37.1 17
1986-09-21 @ KB Copenhagen L 0-2 1367 1205 50.22% 25.31% 24.47% -37.1 16
1986-09-21 Vejle BK D 0-0 1365 1313 51.93% 25.44% 22.63% -2.8 18
1986-09-21 @ Odense D 0-0 1313 1365 22.63% 25.44% 51.93% +2.8 17
1986-09-21 Brondby D 1-1 1093 1437 10.01% 23.64% 66.35% +5.3 8
1986-09-21 @ Randers D 1-1 1437 1093 66.35% 23.64% 10.01% -5.3 27
1986-09-27 Odense W 3-0 1330 1362 41.53% 25.64% 32.83% +38.4 18
1986-09-27 @ Bronshoj L 0-3 1362 1330 32.83% 25.64% 41.53% -38.4 18
1986-09-28 B 1903 W 2-1 1523 1355 62.61% 24.64% 12.74% +6.1 32
1986-09-28 @ Aarhus GF L 1-2 1355 1523 12.74% 24.64% 62.61% -6.1 21
1986-09-28 Ikast L 1-2 1432 1332 56.92% 25.18% 17.90% -20.9 27
1986-09-28 @ Brondby W 2-1 1332 1432 17.90% 25.18% 56.92% +20.9 20
1986-09-28 KB Copenhagen L 0-1 1142 1242 32.13% 25.56% 42.30% -13.8 10
1986-09-28 @ Kastrup W 1-0 1242 1142 42.30% 25.56% 32.13% +13.8 19
1986-09-28 Randers W 7-3 1342 1098 67.51% 23.84% 8.65% +10.4 22
1986-09-28 @ Lyngby L 3-7 1098 1342 8.65% 23.84% 67.51% -10.4 8
1986-09-28 Esbjerg W 3-1 1369 1128 67.33% 23.88% 8.79% +7.4 23
1986-09-28 @ Naestved L 1-3 1128 1369 8.79% 23.88% 67.33% -7.5 10
1986-09-28 Herfolge W 4-0 1316 1266 51.76% 25.44% 22.80% +37.8 19
1986-09-28 @ Vejle BK L 0-4 1266 1316 22.80% 25.44% 51.76% -37.8 19
1986-10-05 Vejle BK D 0-0 1121 1354 17.46% 24.81% 57.72% +4.0 11
1986-10-05 @ Esbjerg D 0-0 1354 1121 57.72% 24.81% 17.46% -4.0 20
1986-10-05 Ikast L 0-4 1349 1353 45.31% 25.60% 29.08% -64.5 21
1986-10-05 @ B 1903 W 4-0 1353 1349 29.08% 25.60% 45.31% +64.5 22
1986-10-05 Bronshoj L 2-5 1229 1368 27.07% 25.42% 47.51% -24.1 19
1986-10-05 @ Herfolge W 5-2 1368 1229 47.51% 25.42% 27.07% +24.1 20
1986-10-05 Aarhus GF L 0-1 1256 1529 14.34% 24.44% 61.22% -7.1 19
1986-10-05 @ KB Copenhagen W 1-0 1529 1256 61.22% 24.44% 14.34% +7.1 34
1986-10-05 Brondby W 1-0 1352 1411 37.81% 25.63% 36.56% +15.2 24
1986-10-05 @ Lyngby L 0-1 1411 1352 36.56% 25.63% 37.81% -15.2 27
1986-10-05 Kastrup W 2-1 1324 1128 64.53% 24.38% 11.09% +5.3 20
1986-10-05 @ Odense L 1-2 1128 1324 11.09% 24.38% 64.53% -5.3 10
1986-10-05 Naestved L 0-3 1088 1376 13.29% 24.29% 62.42% -18.1 8
1986-10-05 @ Randers W 3-0 1376 1088 62.42% 24.29% 13.29% +18.1 25
1986-10-11 Esbjerg W 3-1 1392 1125 68.81% 23.54% 7.64% +6.5 22
1986-10-11 @ Bronshoj L 1-3 1125 1392 7.64% 23.54% 68.81% -6.5 11
1986-10-12 Odense W 3-0 1536 1329 65.30% 24.26% 10.44% +14.7 36
1986-10-12 @ Aarhus GF L 0-3 1329 1536 10.44% 24.26% 65.30% -14.7 20
1986-10-12 Brondby W 3-1 1284 1396 30.60% 25.53% 43.88% +28.6 23
1986-10-12 @ B 1903 L 1-3 1396 1284 43.88% 25.53% 30.60% -28.6 27
1986-10-12 KB Copenhagen D 1-1 1417 1249 62.64% 24.64% 12.72% -4.6 23
1986-10-12 @ Ikast D 1-1 1249 1417 12.72% 24.64% 62.64% +4.6 20
1986-10-12 Herfolge W 1-0 1123 1204 34.62% 25.60% 39.77% +16.2 12
1986-10-12 @ Kastrup L 0-1 1204 1123 39.77% 25.60% 34.62% -16.2 19
1986-10-12 Lyngby W 2-0 1394 1367 49.12% 25.53% 25.35% +21.7 27
1986-10-12 @ Naestved L 0-2 1367 1394 25.35% 25.53% 49.12% -21.7 24
1986-10-12 Randers W 3-1 1350 1069 69.47% 23.38% 7.16% +6.1 22
1986-10-12 @ Vejle BK L 1-3 1069 1350 7.16% 23.38% 69.47% -6.1 8
1986-10-19 Naestved W 3-1 1367 1416 39.25% 25.64% 35.11% +24.1 29
1986-10-19 @ Brondby L 1-3 1416 1367 35.11% 25.64% 39.25% -24.1 27
1986-10-19 Kastrup W 1-0 1118 1139 43.06% 25.63% 31.32% +13.5 13
1986-10-19 @ Esbjerg L 0-1 1139 1118 31.32% 25.63% 43.06% -13.5 12
1986-10-19 Aarhus GF L 0-1 1188 1551 9.14% 23.41% 67.45% -4.7 19
1986-10-19 @ Herfolge W 1-0 1551 1188 67.45% 23.41% 9.14% +4.7 38
1986-10-19 B 1903 L 0-3 1253 1313 37.70% 25.63% 36.67% -42.6 20
1986-10-19 @ KB Copenhagen W 3-0 1313 1253 36.67% 25.63% 37.70% +42.6 25
1986-10-19 Vejle BK D 1-1 1346 1356 44.44% 25.62% 29.95% -1.2 25
1986-10-19 @ Lyngby D 1-1 1356 1346 29.95% 25.62% 44.44% +1.2 23
1986-10-19 Ikast W 3-1 1314 1412 32.36% 25.57% 42.07% +27.7 22
1986-10-19 @ Odense L 1-3 1412 1314 42.07% 25.57% 32.36% -27.7 23
1986-10-19 Bronshoj L 3-6 1063 1399 10.48% 23.75% 65.77% -9.9 8
1986-10-19 @ Randers W 6-3 1399 1063 65.77% 23.75% 10.48% +9.9 24
1986-10-25 Lyngby D 2-2 1409 1344 53.33% 25.38% 21.29% -2.1 25
1986-10-25 @ Bronshoj D 2-2 1344 1409 21.29% 25.38% 53.33% +2.1 26
1986-10-26 Esbjerg W 2-1 1555 1132 75.36% 21.21% 3.43% +1.7 40
1986-10-26 @ Aarhus GF L 1-2 1132 1555 3.43% 21.21% 75.36% -1.7 13
1986-10-26 Odense L 2-4 1356 1342 47.50% 25.57% 26.94% -27.4 25
1986-10-26 @ B 1903 W 4-2 1342 1356 26.94% 25.57% 47.50% +27.4 24
1986-10-26 Herfolge D 1-1 1385 1184 64.92% 24.32% 10.76% -5.1 24
1986-10-26 @ Ikast D 1-1 1184 1385 10.76% 24.32% 64.92% +5.1 20
1986-10-26 Randers W 2-1 1126 1054 54.14% 25.34% 20.52% +9.1 14
1986-10-26 @ Kastrup L 1-2 1054 1126 20.52% 25.34% 54.14% -9.1 8
1986-10-26 Brondby L 0-2 1211 1391 22.46% 25.20% 52.33% -19.6 20
1986-10-26 @ KB Copenhagen W 2-0 1391 1211 52.33% 25.20% 22.46% +19.6 31
1986-10-26 Naestved L 0-4 1357 1392 41.23% 25.64% 33.13% -59.7 23
1986-10-26 @ Vejle BK W 4-0 1392 1357 33.13% 25.64% 41.23% +59.7 29
1986-11-02 Vejle BK W 3-1 1411 1298 58.12% 25.09% 16.79% +13.4 33
1986-11-02 @ Brondby L 1-3 1298 1411 16.79% 25.09% 58.12% -13.4 23
1986-11-02 Ikast L 0-2 1130 1380 16.13% 24.67% 59.20% -14.8 13
1986-11-02 @ Esbjerg W 2-0 1380 1130 59.20% 24.67% 16.13% +14.8 26
1986-11-02 B 1903 L 0-2 1189 1328 27.09% 25.42% 47.49% -22.8 20
1986-11-02 @ Herfolge W 2-0 1328 1189 47.49% 25.42% 27.09% +22.8 27
1986-11-02 Kastrup W 2-0 1346 1135 65.60% 24.21% 10.20% +9.9 28
1986-11-02 @ Lyngby L 0-2 1135 1346 10.20% 24.21% 65.60% -9.9 14
1986-11-02 Bronshoj W 1-0 1451 1407 51.18% 25.46% 23.35% +10.8 31
1986-11-02 @ Naestved L 0-1 1407 1451 23.35% 25.46% 51.18% -10.8 25
1986-11-02 KB Copenhagen W 2-1 1369 1191 63.36% 24.55% 12.09% +5.8 26
1986-11-02 @ Odense L 1-2 1191 1369 12.09% 24.55% 63.36% -5.8 20
1986-11-02 Aarhus GF D 2-2 1044 1557 4.25% 21.14% 74.61% +5.1 9
1986-11-02 @ Randers D 2-2 1557 1044 74.61% 21.14% 4.25% -5.1 41
1986-11-09 Lyngby L 1-2 1552 1356 64.55% 24.38% 11.07% -23.7 41
1986-11-09 @ Aarhus GF W 2-1 1356 1552 11.07% 24.38% 64.55% +23.7 30
1986-11-09 Vejle BK L 2-3 1396 1284 57.98% 25.10% 16.92% -20.2 25
1986-11-09 @ Bronshoj W 3-2 1284 1396 16.92% 25.10% 57.98% +20.2 25
1986-11-09 Esbjerg W 4-0 1351 1115 67.05% 23.93% 9.01% +16.7 29
1986-11-09 @ B 1903 L 0-4 1115 1351 9.01% 23.93% 67.05% -16.7 13
1986-11-09 Randers W 3-2 1394 1050 72.40% 22.47% 5.14% +2.4 28
1986-11-09 @ Ikast L 2-3 1050 1394 5.14% 22.47% 72.40% -2.4 9
1986-11-09 Naestved L 0-2 1125 1462 10.39% 23.73% 65.89% -9.9 14
1986-11-09 @ Kastrup W 2-0 1462 1125 65.89% 23.73% 10.39% +9.9 33
1986-11-09 Herfolge W 2-1 1185 1166 48.20% 25.55% 26.25% +11.1 22
1986-11-09 @ KB Copenhagen L 1-2 1166 1185 26.25% 25.55% 48.20% -11.1 20
1986-11-09 Brondby L 0-1 1375 1424 39.21% 25.64% 35.15% -16.0 26
1986-11-09 @ Odense W 1-0 1424 1375 35.15% 25.64% 39.21% +16.0 35
1986-11-16 Bronshoj W 3-2 1440 1376 53.34% 25.38% 21.28% +8.9 37
1986-11-16 @ Brondby L 2-3 1376 1440 21.28% 25.38% 53.34% -8.9 25
1986-11-16 KB Copenhagen L 0-1 1099 1196 32.39% 25.57% 42.04% -13.9 13
1986-11-16 @ Esbjerg W 1-0 1196 1099 42.04% 25.57% 32.39% +13.9 24
1986-11-16 Odense W 1-0 1155 1359 20.08% 25.04% 54.88% +21.3 22
1986-11-16 @ Herfolge L 0-1 1359 1155 54.88% 25.04% 20.08% -21.3 26
1986-11-16 Ikast W 3-0 1380 1397 43.62% 25.62% 30.76% +36.6 32
1986-11-16 @ Lyngby L 0-3 1397 1380 30.76% 25.62% 43.62% -36.6 28
1986-11-16 Aarhus GF W 1-0 1472 1528 38.21% 25.63% 36.15% +15.1 35
1986-11-16 @ Naestved L 0-1 1528 1472 36.15% 25.63% 38.21% -15.1 41
1986-11-16 B 1903 W 2-1 1047 1368 11.31% 23.93% 64.76% +23.7 11
1986-11-16 @ Randers L 1-2 1368 1047 64.76% 23.93% 11.31% -23.7 29
1986-11-16 Kastrup W 1-0 1304 1115 64.14% 24.44% 11.42% +5.8 27
1986-11-16 @ Vejle BK L 0-1 1115 1304 11.42% 24.44% 64.14% -5.8 14

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 1986-11-09 11.07% Lyngby 1356 2 @ Aarhus GF 1552 1
2 1986-11-16 11.31% @ Randers 1047 2 B 1903 1368 1
3 1986-09-07 13.43% Vejle BK 1234 2 @ B 1903 1392 1
4 1986-11-09 16.92% Vejle BK 1284 3 @ Bronshoj 1396 2
5 1986-08-13 17.79% B 1903 1338 2 @ Brondby 1439 0
6 1986-09-28 17.90% Ikast 1332 2 @ Brondby 1432 1
7 1986-11-16 20.08% @ Herfolge 1155 1 Odense 1359 0
8 1986-09-07 21.03% Lyngby 1315 3 @ Odense 1382 2
9 1986-05-11 22.21% @ Randers 1144 1 KB Copenhagen 1327 0
10 1986-08-10 22.42% KB Copenhagen 1303 2 @ B 1903 1357 1
11 1986-09-06 23.27% Ikast 1269 4 @ KB Copenhagen 1314 2
12 1986-05-14 23.37% Vejle BK 1250 2 @ Kastrup 1295 0
13 1986-05-11 23.93% B 1903 1304 2 @ Lyngby 1344 1
14 1986-07-20 24.27% Bronshoj 1251 5 @ Vejle BK 1288 0
15 1986-09-21 24.47% @ KB Copenhagen 1205 2 Bronshoj 1367 0
16 1986-08-10 24.96% @ Naestved 1301 1 Brondby 1458 0
17 1986-10-26 26.94% Odense 1342 4 @ B 1903 1356 2
18 1986-05-11 28.49% Kastrup 1278 2 @ Bronshoj 1279 1
19 1986-10-05 29.08% Ikast 1353 4 @ B 1903 1349 0
20 1986-04-20 29.50% Kastrup 1297 4 @ Ikast 1290 1
21 1986-04-27 30.29% Aarhus GF 1351 3 @ Kastrup 1338 0
22 1986-10-12 30.60% @ B 1903 1284 3 Brondby 1396 1
23 1986-05-14 30.76% @ Ikast 1215 3 Lyngby 1325 0
24 1986-08-03 31.16% @ Randers 1129 1 Kastrup 1236 0
25 1986-08-13 31.97% Vejle BK 1165 2 @ Randers 1139 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 1986-07-20 86.90 Bronshoj 5 1251 24.27% @ Vejle BK 0 1288 50.23% 25.50%
2 1986-10-05 64.46 Ikast 4 1353 29.08% @ B 1903 0 1349 45.31% 25.60%
3 1986-08-16 60.26 @ Bronshoj 5 1341 42.65% Herfolge 0 1365 31.71% 25.63%
4 1986-10-26 59.66 Naestved 4 1392 33.13% @ Vejle BK 0 1357 41.23% 25.64%
5 1986-09-14 56.51 @ Vejle BK 5 1257 45.23% KB Copenhagen 0 1261 29.16% 25.61%
6 1986-08-17 51.46 Odense 4 1307 40.46% @ Kastrup 0 1220 33.95% 25.59%
7 1986-04-27 48.22 Aarhus GF 3 1351 30.29% @ Kastrup 0 1338 44.09% 25.62%
8 1986-05-14 47.84 @ Ikast 3 1215 30.76% Lyngby 0 1325 43.71% 25.53%
9 1986-10-19 42.62 B 1903 3 1313 36.67% @ KB Copenhagen 0 1253 37.70% 25.63%
10 1986-08-13 41.86 B 1903 2 1338 17.79% @ Brondby 0 1439 57.04% 25.17%
11 1986-08-03 41.44 @ Lyngby 3 1279 38.05% Bronshoj 0 1336 36.32% 25.63%
12 1986-04-20 41.28 Kastrup 4 1297 29.50% @ Ikast 1 1290 44.89% 25.61%
13 1986-08-13 39.38 Bronshoj 3 1302 40.47% @ Esbjerg 0 1216 33.94% 25.59%
14 1986-09-27 38.43 @ Bronshoj 3 1330 41.53% Odense 0 1362 32.83% 25.64%
15 1986-05-14 37.79 Vejle BK 2 1250 23.37% @ Kastrup 0 1295 51.17% 25.47%
16 1986-09-28 37.76 @ Vejle BK 4 1316 51.76% Herfolge 0 1266 22.80% 25.44%
17 1986-09-21 37.09 @ KB Copenhagen 2 1205 24.47% Bronshoj 0 1367 50.22% 25.31%
18 1986-11-16 36.56 @ Lyngby 3 1380 43.62% Ikast 0 1397 30.76% 25.62%
19 1986-07-27 36.46 @ Ikast 5 1276 46.96% Esbjerg 1 1267 27.46% 25.58%
20 1986-04-26 35.71 @ Bronshoj 3 1239 44.56% Ikast 0 1248 29.82% 25.61%
21 1986-08-13 32.15 Vejle BK 2 1165 31.97% @ Randers 0 1139 42.40% 25.63%
22 1986-08-31 31.97 @ Vejle BK 2 1202 32.31% Ikast 0 1301 42.12% 25.57%
23 1986-04-06 30.73 @ Odense 3 1318 49.88% Bronshoj 0 1284 24.61% 25.51%
24 1986-05-04 30.20 @ KB Copenhagen 2 1297 35.22% Lyngby 0 1374 39.17% 25.61%
25 1986-04-13 29.91 @ Brondby 5 1358 61.73% Randers 0 1201 13.52% 24.75%