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1995-96 Superliga Season

198 games

Final

Champion

Brondby

67 points · 6th Title

Last Title: 1991

Relegated

Naestved

23 pts

Ikast · 25 pts

Biggest Overachiever

Aarhus GF

9.14 points above expected

66 points · 56.86 expected points

Biggest Disappointment

Naestved

10.39 points below expected

23 points · 33.39 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 33 20 7 6 67 71 32 +39 59.96 +7.04
2 Aarhus GF 33 18 12 3 66 61 28 +33 56.86 +9.14
3 Odense 33 17 9 7 60 57 33 +24 51.80 +8.20
4 Lyngby 33 14 11 8 53 61 35 +26 55.29 -2.29
5 Aalborg 33 15 6 12 51 57 38 +19 54.96 -3.96
6 Silkeborg 33 14 7 12 49 44 42 +2 47.25 +1.75
7 FC Copenhagen 33 13 9 11 48 48 49 -1 48.63 -0.63
8 Viborg 33 9 11 13 38 48 67 -19 32.83 +5.17
9 Vejle BK 33 8 9 16 33 34 50 -16 38.83 -5.83
10 Herfolge 33 6 9 18 27 41 62 -21 28.57 -1.57
11 Ikast Relegated 33 5 10 18 25 28 63 -35 33.75 -8.75
12 Naestved Relegated 33 5 8 20 23 29 80 -51 33.39 -10.39

Going into Phase 2, the championship group halved its Phase 1 points (rounded up); the relegation group kept its full Phase 1 points. Each group then played its own round-robin to determine final standings.

Form

Each team's 5-game rolling points-per-game across the season. Hot streaks push above the dashed 1.5 PPG reference line; cold spells drop below. Each team gets a distinct color; the legend below the plot lets you read off which line is which. (First 4 games of each team have no rolling window, so the lines start at game 5.)

League Race

Cumulative points across the season for each team. Highlighted teams are drawn in color (top finishers for the Title Race, bottom finishers for the Relegation Race); the rest of the league appears in light gray as context. Switch views with the buttons below.

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 1887 67 59.96 +7.04 85.7% 34 48 55 60 65 71 86
Aarhus GF 1848 66 56.86 +9.14 91.5% 30 45 52 57 62 68 82
Odense 1794 60 51.80 +8.20 89.2% 25 40 47 52 57 63 82
Lyngby 1787 53 55.29 -2.29 40.2% 28 44 50 55 60 67 82
Aalborg 1744 51 54.96 -3.96 31.5% 27 43 50 55 60 67 77
Silkeborg 1726 49 47.25 +1.75 62.8% 21 36 42 47 52 59 73
FC Copenhagen 1687 48 48.63 -0.63 49.3% 22 37 44 49 53 60 73
Vejle BK 1624 33 38.83 -5.83 22.5% 16 28 34 39 43 51 70
Viborg 1611 38 32.83 +5.17 80.9% 9 22 28 33 37 44 61
Herfolge 1581 27 28.57 -1.57 44.5% 5 19 24 28 33 39 56
Ikast 1523 25 33.75 -8.75 10.9% 11 23 29 34 38 45 60
Naestved 1457 23 33.39 -10.39 6.6% 10 23 29 33 38 45 63

Head-to-Head

Each cell shows a team's record in that matchup (row vs column, formatted W-D-L) with the model's expected points on the line below. Navy-tinted cells mean the team beat the model's expectations by more than one point in that matchup; gold-tinted cells mean they fell short by the same margin.

Beat expectations Fell short Within expectations
Team AAL AG BRO FC HER IKA LYN NAE ODE SIL VB VIB
Aalborg —
1-0-2
3.92
0-0-3
3.45
1-0-2
4.36
2-1-0
6.47
2-1-0
5.33
0-2-1
4.18
2-1-0
6.37
1-1-1
4.23
1-0-2
4.97
3-0-0
5.57
2-0-1
6.03
Aarhus GF
2-0-1
4.21
 —
2-1-0
3.98
3-0-0
5.17
2-1-0
6.55
1-2-0
6.47
3-0-0
3.99
3-0-0
5.61
0-2-1
4.80
1-1-1
4.72
1-2-0
5.28
0-3-0
6.15
Brondby
3-0-0
4.79
0-1-2
4.15
 —
2-0-1
5.02
2-1-0
6.38
3-0-0
6.27
1-1-1
4.63
3-0-0
6.15
1-1-1
4.75
1-1-1
5.54
3-0-0
5.82
1-2-0
6.44
FC Copenhagen
2-0-1
3.80
0-0-3
3.03
1-0-2
3.13
 —
2-1-0
6.16
0-2-1
5.58
0-2-1
3.22
1-2-0
5.80
1-1-1
3.41
2-0-1
4.30
2-0-1
4.64
2-1-0
5.63
Herfolge
0-1-2
1.86
0-1-2
1.82
0-1-2
1.93
0-1-2
2.12
 —
2-0-1
3.85
0-2-1
2.00
2-0-1
3.21
1-0-2
2.19
1-0-2
2.12
0-1-2
3.68
0-2-1
3.79
Ikast
0-1-2
2.87
0-2-1
1.86
0-0-3
2.09
1-2-0
2.62
1-0-2
4.31
 —
0-0-3
2.76
1-1-1
3.89
0-0-3
2.59
1-1-1
3.11
1-1-1
3.37
0-2-1
4.19
Lyngby
1-2-0
3.97
0-0-3
4.15
1-1-1
3.54
1-2-0
4.95
1-2-0
6.28
3-0-0
5.47
 —
2-1-0
5.78
0-1-2
4.75
0-1-2
5.25
2-1-0
5.46
3-0-0
5.72
Naestved
0-1-2
1.95
0-0-3
2.70
0-0-3
2.13
0-2-1
2.43
1-0-2
4.98
1-1-1
4.25
0-1-2
2.49
 —
0-1-2
2.53
1-1-1
2.45
1-1-1
3.76
1-0-2
3.72
Odense
1-1-1
3.91
1-2-0
3.38
1-1-1
3.39
1-1-1
4.77
2-0-1
6.11
3-0-0
5.62
2-1-0
3.41
2-1-0
5.69
 —
1-1-1
4.06
1-1-1
5.25
2-0-1
6.07
Silkeborg
2-0-1
3.20
1-1-1
3.42
1-1-1
2.69
1-0-2
3.85
2-0-1
6.15
1-1-1
5.07
2-1-0
2.96
1-1-1
5.84
1-1-1
4.09
 —
1-1-1
4.99
1-0-2
5.03
Vejle BK
0-0-3
2.65
0-2-1
2.92
0-0-3
2.45
1-0-2
3.51
2-1-0
4.47
1-1-1
4.78
0-1-2
2.76
1-1-1
4.38
1-1-1
2.94
1-1-1
3.19
 —
1-1-1
4.86
Viborg
1-0-2
2.24
0-3-0
2.14
0-2-1
1.90
0-1-2
2.58
1-2-0
4.35
1-2-0
3.94
0-0-3
2.51
2-0-1
4.46
1-0-2
2.20
2-0-1
3.18
1-1-1
3.29
 —

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 0.86 +10.6
Allowed 0.84 -8.7
Differential 0.93 +5.2

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
05.05%6.82%6.06%3.54%3.28%1.26%26.01%
16.82%15.15%6.31%3.54%1.52%1.26%34.60%
26.06%6.31%5.56%1.01%1.01%0.76%20.71%
33.54%3.54%1.01%1.52%——9.60%
43.28%1.52%1.01%———5.81%
5+1.26%1.26%0.76%———3.28%
Total26.01%34.60%20.71%9.60%5.81%3.28%100%

Summary Statistics

Scored Allowed Difference
Mean 1.46 1.46 +0.00
SD 1.37 1.37 2.15
CV 0.93 0.93 —
Max 8 8 +7
Min 0 0 -7

Games Played: 198

↓ Scored | Allowed →012345+Total
03.03%12.12%3.03%3.03%3.03%—24.24%
16.06%15.15%6.06%3.03%—3.03%33.33%
29.09%3.03%——3.03%—15.15%
39.09%3.03%————12.12%
49.09%3.03%————12.12%
5+—3.03%————3.03%
Total36.36%39.39%9.09%6.06%6.06%3.03%100%

Summary Statistics

Scored Allowed Difference
Mean 1.73 1.15 +0.58
SD 1.74 1.33 2.50
CV 1.01 1.15 —
Max 8 5 +7
Min 0 0 -4

Games Played: 33

↓ Scored | Allowed →012345+Total
012.12%3.03%————15.15%
19.09%15.15%6.06%———30.30%
26.06%9.09%6.06%———21.21%
312.12%9.09%—3.03%——24.24%
4——6.06%———6.06%
5+—3.03%————3.03%
Total39.39%39.39%18.18%3.03%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.85 0.85 +1.00
SD 1.30 0.83 1.32
CV 0.70 0.98 —
Max 5 3 +4
Min 0 0 -1

Games Played: 33

↓ Scored | Allowed →012345+Total
03.03%—6.06%———9.09%
115.15%9.09%6.06%3.03%3.03%—36.36%
26.06%3.03%6.06%———15.15%
39.09%6.06%3.03%3.03%——21.21%
49.09%3.03%————12.12%
5+3.03%3.03%————6.06%
Total45.45%24.24%21.21%6.06%3.03%—100%

Summary Statistics

Scored Allowed Difference
Mean 2.15 0.97 +1.18
SD 1.56 1.10 2.13
CV 0.73 1.14 —
Max 6 4 +6
Min 0 0 -3

Games Played: 33

↓ Scored | Allowed →012345+Total
06.06%3.03%3.03%3.03%6.06%—21.21%
19.09%9.09%9.09%6.06%——33.33%
23.03%12.12%12.12%—3.03%—30.30%
33.03%6.06%————9.09%
4—6.06%————6.06%
5+———————
Total21.21%36.36%24.24%9.09%9.09%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.45 1.48 -0.03
SD 1.12 1.20 1.83
CV 0.77 0.81 —
Max 4 4 +3
Min 0 0 -4

Games Played: 33

↓ Scored | Allowed →012345+Total
06.06%12.12%3.03%6.06%6.06%—33.33%
13.03%12.12%12.12%——6.06%33.33%
26.06%—6.06%6.06%3.03%—21.21%
3———3.03%——3.03%
43.03%3.03%————6.06%
5+——3.03%———3.03%
Total18.18%27.27%24.24%15.15%9.09%6.06%100%

Summary Statistics

Scored Allowed Difference
Mean 1.24 1.88 -0.64
SD 1.30 1.45 2.01
CV 1.05 0.77 —
Max 5 5 +4
Min 0 0 -4

Games Played: 33

↓ Scored | Allowed →012345+Total
03.03%6.06%9.09%9.09%3.03%6.06%36.36%
16.06%24.24%9.09%6.06%3.03%—48.48%
23.03%3.03%3.03%3.03%——12.12%
3———————
4——3.03%———3.03%
5+———————
Total12.12%33.33%24.24%18.18%6.06%6.06%100%

Summary Statistics

Scored Allowed Difference
Mean 0.85 1.91 -1.06
SD 0.87 1.35 1.78
CV 1.03 0.71 —
Max 4 5 +2
Min 0 0 -5

Games Played: 33

↓ Scored | Allowed →012345+Total
03.03%6.06%6.06%———15.15%
13.03%15.15%6.06%3.03%——27.27%
212.12%3.03%15.15%3.03%——33.33%
36.06%—3.03%———9.09%
49.09%3.03%————12.12%
5+3.03%—————3.03%
Total36.36%27.27%30.30%6.06%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.85 1.06 +0.79
SD 1.33 0.97 1.90
CV 0.72 0.91 —
Max 5 3 +5
Min 0 0 -2

Games Played: 33

↓ Scored | Allowed →012345+Total
03.03%6.06%15.15%3.03%12.12%6.06%45.45%
16.06%18.18%—6.06%3.03%3.03%36.36%
2—3.03%3.03%—3.03%3.03%12.12%
3——3.03%———3.03%
4———————
5+——3.03%———3.03%
Total9.09%27.27%24.24%9.09%18.18%12.12%100%

Summary Statistics

Scored Allowed Difference
Mean 0.88 2.42 -1.55
SD 1.22 1.70 2.15
CV 1.39 0.70 —
Max 6 6 +4
Min 0 0 -5

Games Played: 33

↓ Scored | Allowed →012345+Total
03.03%—6.06%6.06%——15.15%
112.12%18.18%9.09%———39.39%
212.12%6.06%6.06%———24.24%
3—9.09%————9.09%
43.03%—————3.03%
5+3.03%6.06%————9.09%
Total33.33%39.39%21.21%6.06%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.73 1.00 +0.73
SD 1.42 0.90 1.92
CV 0.82 0.90 —
Max 5 3 +5
Min 0 0 -3

Games Played: 33

↓ Scored | Allowed →012345+Total
03.03%15.15%3.03%3.03%——24.24%
19.09%18.18%6.06%—6.06%—39.39%
23.03%15.15%———3.03%21.21%
33.03%6.06%3.03%———12.12%
4———————
5+3.03%—————3.03%
Total21.21%54.55%12.12%3.03%6.06%3.03%100%

Summary Statistics

Scored Allowed Difference
Mean 1.33 1.27 +0.06
SD 1.16 1.21 1.78
CV 0.87 0.95 —
Max 5 5 +5
Min 0 0 -3

Games Played: 33

↓ Scored | Allowed →012345+Total
09.09%18.18%3.03%6.06%3.03%3.03%42.42%
1—15.15%6.06%9.09%——30.30%
29.09%9.09%————18.18%
3———3.03%——3.03%
4——3.03%———3.03%
5+3.03%—————3.03%
Total21.21%42.42%12.12%18.18%3.03%3.03%100%

Summary Statistics

Scored Allowed Difference
Mean 1.03 1.52 -0.48
SD 1.24 1.37 2.02
CV 1.20 0.91 —
Max 5 6 +5
Min 0 0 -6

Games Played: 33

↓ Scored | Allowed →012345+Total
06.06%—15.15%3.03%6.06%—30.30%
13.03%12.12%—6.06%3.03%3.03%27.27%
23.03%9.09%9.09%——3.03%24.24%
3—3.03%—6.06%——9.09%
46.06%—————6.06%
5+——3.03%———3.03%
Total18.18%24.24%27.27%15.15%9.09%6.06%100%

Summary Statistics

Scored Allowed Difference
Mean 1.45 2.03 -0.58
SD 1.44 1.78 2.45
CV 0.99 0.87 —
Max 6 8 +4
Min 0 0 -7

Games Played: 33

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 Aarhus GF 66 56.86 +9.14
2 Odense 60 51.80 +8.20
3 Brondby 67 59.96 +7.04
4 Viborg 38 32.83 +5.17
5 Silkeborg 49 47.25 +1.75

Biggest Disappointments

# Team Actual Sim vsSim
1 Naestved 23 33.39 -10.39
2 Ikast 25 33.75 -8.75
3 Vejle BK 33 38.83 -5.83
4 Aalborg 51 54.96 -3.96
5 Lyngby 53 55.29 -2.29

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 8 Oct 13 – Mar 24 1 in 329
2 Silkeborg 5 Nov 26 – Apr 14 1 in 255
3 Herfolge 2 Oct 15 – Oct 22 1 in 54
4 Aarhus GF 4 Sep 3 – Sep 20 1 in 27
5 Odense 3 Sep 17 – Sep 24 1 in 18

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Herfolge 11 Aug 9 – Oct 8 1 in 832
2 Naestved 7 Oct 15 – Nov 29 1 in 114
3 Vejle BK 5 Nov 26 – Apr 4 1 in 59
4 Lyngby 2 May 12 – May 15 1 in 25
5 Silkeborg 2 Sep 3 – Sep 8 1 in 24

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Herfolge 6 Oct 15 – Nov 19 1 in 108
2 Aarhus GF 10 Jul 30 – Sep 20 1 in 41
3 Brondby 13 Oct 13 – Apr 21 1 in 16
4 Silkeborg 5 Nov 26 – Apr 14 1 in 11
5 Viborg 4 Apr 28 – May 12 1 in 9

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Silkeborg 6 Sep 20 – Oct 22 1 in 23
2 FC Copenhagen 5 Oct 22 – Nov 19 1 in 20
3 Naestved 13 Oct 15 – Apr 28 1 in 18
4 Aarhus GF 3 Nov 29 – Apr 4 1 in 18
5 Odense 5 Oct 22 – Nov 17 1 in 18

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).

Team123456789101112
Brondby38.91%22.38%15.65%10.40%6.30%3.86%1.90%0.48%0.11%—0.01%—
Aarhus GF21.02%21.53%18.53%14.75%10.97%7.37%3.84%1.49%0.34%0.12%0.04%—
Odense6.80%10.60%14.15%16.83%17.38%15.75%10.71%5.17%1.66%0.67%0.23%0.05%
Lyngby14.80%18.06%18.37%16.10%13.61%10.08%5.99%2.14%0.62%0.14%0.08%0.01%
Aalborg13.81%17.25%17.39%16.73%14.87%9.85%6.35%2.42%0.96%0.26%0.11%—
Silkeborg1.79%4.21%6.42%10.32%14.63%19.11%21.97%12.03%5.90%2.39%0.88%0.35%
FC Copenhagen2.72%5.47%8.34%12.04%16.14%20.32%18.65%9.58%4.01%1.93%0.59%0.21%
Viborg—0.04%0.07%0.30%0.62%1.62%4.69%11.50%19.05%22.09%22.00%18.02%
Vejle BK0.13%0.37%0.90%1.78%3.71%7.09%13.72%25.63%19.65%13.64%8.83%4.55%
Herfolge—0.01%0.02%0.04%0.13%0.40%1.39%5.06%9.17%16.11%24.86%42.81%
Ikast0.01%0.04%0.11%0.41%0.98%2.39%5.64%12.63%20.06%21.15%20.51%16.07%
Naestved0.01%0.04%0.05%0.30%0.66%2.16%5.15%11.87%18.47%21.50%21.86%17.93%

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
+18.18%
Clear Edge
45.45%27.27%27.27%
Elo Value
Home Edge
159 Elo
0.006 goals per Elo point
063.88400
Scoring Tilt
Expected
+0.47 goals
Neutral
-2+0.40+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 * Middle of the Pack: 3rd to 6th * Longshot: 7th or lower.
Title Margin
Points-per-game gap between the champion and the runner-up. Shown per game so it reads the same across long and short seasons. The gold line is the winning margin the model expected, so a dot to the right means a more one-sided race than projected. A title won on goal difference shows 0.00.
Photo Finish: under 0.15 * Tight Race: 0.15 to 0.4 * Comfortable: 0.4 to 0.75 * Runaway: 0.75 and up.
Title-Race Openness
4.1
Open
124610
Champion Preseason Odds
39%
Brondby, 1st of 12
LongshotFavorite
Title Margin
Expected
0.03/gm
Photo Finish
00.150.5/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 5.5 * Some Luck: 5.5 to 8.25 * Lucky: 8.25 to 11 * Wild Swing: 11 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 1.21 * Close: 1.21 to 1.82 * Off: 1.82 to 2.42 * Way Off: 2.42 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 12 typically lands.
Biggest Underachiever
The team that finished lowest inside its own range of simulated outcomes. The gold line is where the bottom team in a league of 12 typically lands.
Season Outliers
Number of teams that finished above the 95th or below the 5th percentile of their own simulated range. Even a well-calibrated model expects about 10% of teams in the extremes.
Minimal Outliers: under 12 * As Expected: 12 to 19.2 * Several Outliers: 19.2 to 26.4 * Many Outliers: 26.4 and up.
Unexpected Relegations
Number of teams that were actually relegated but were not in the model's projected bottom field of the same size. The gold line is how many the model expected to miss on average.
As Expected: under 0.92 * A Surprise: 0.92 to 1.48 * Several Surprises: 1.48 to 2.03 * Many Surprises: 2.03 and up.
Luck Spread
Expected
6.27 points
Some Luck
06.8817
Average Finish Error
Expected
1.33
Close
01.514
Biggest Overachiever
Expected 95.83%
91.47%
Aarhus GF
50100
Biggest Underachiever
Expected 4.17%
6.55%
Naestved
050
Season Outliers
Expected
0 of 12
Minimal Outliers
01.26
Unexpected Relegations
Expected
2 of 2
Several Surprises
00.92

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
1.81
Strong Separation
01.003
Interquartile Edge
74%
Clear Edge
50%60%70%80%100%
Best vs. Worst
Baseline 93%
92%
Dominant
50%100%
Close Games
Expected
56%
Very Frequent
0%51%100%
Blowouts
Expected
23%
Very Frequent
0%25%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
0.39
Lopsided
00.10.180.280.5
Strangeness
Expected
0.84
As Expected
01.002
Repeatability
0.60
Strong Carryover
00.30.60.851
Upset Rate
Expected
20%
Chalky
0%22%50%
Clear Favorite Upset Rate
Expected
17%
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 0.12 * Near Noise Ceiling: 0.12 to 0.18 * Above Noise: 0.18 to 0.24 * Well Above Noise: 0.24 and up.
Probability calibration
0.02
Miscalibrated
0.010.050.10.51
Calibration slope
Ideal
1.20
Underconfident
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.066
Well Within Noise
00.1180.3

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
Brondby 99.99% 0.01%
Aarhus GF 99.96% 0.04%
Lyngby 99.91% 0.09%
Aalborg 99.89% 0.11%
Odense 99.72% 0.28%
FC Copenhagen 99.20% 0.80%
Silkeborg 98.77% 1.23%
Vejle BK 86.62% 13.38%
Ikast 63.42% 36.58%
Naestved 60.21% 39.79%
Viborg 59.98% 40.02%
Herfolge 32.33% 67.67%

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
1995-07-30 Silkeborg D 0-0 1691 1726 39.91% 28.81% 31.28% -0.5 1
1995-07-30 @ Aarhus GF D 0-0 1726 1691 31.28% 28.81% 39.91% +0.5 1
1995-07-30 Viborg W 4-1 1706 1595 58.10% 25.24% 16.66% +11.0 3
1995-07-30 @ FC Copenhagen L 1-4 1595 1706 16.66% 25.24% 58.10% -11.0 0
1995-07-30 Aalborg L 0-3 1684 1772 32.43% 28.87% 38.70% -23.0 0
1995-07-30 @ Ikast W 3-0 1772 1684 38.70% 28.87% 32.43% +23.0 3
1995-07-30 Naestved D 1-1 1703 1691 46.25% 28.17% 25.58% -1.0 1
1995-07-30 @ Lyngby D 1-1 1691 1703 25.58% 28.17% 46.25% +1.0 1
1995-07-30 Brondby L 1-3 1671 1752 33.49% 28.90% 37.61% -14.0 0
1995-07-30 @ Vejle BK W 3-1 1752 1671 37.61% 28.90% 33.49% +14.0 3
1995-08-02 FC Copenhagen W 1-0 1795 1717 54.43% 26.41% 19.17% +5.4 6
1995-08-02 @ Aalborg L 0-1 1717 1795 19.17% 26.41% 54.43% -5.4 3
1995-08-02 Lyngby D 2-2 1766 1702 52.72% 26.87% 20.41% -1.2 4
1995-08-02 @ Brondby D 2-2 1702 1766 20.41% 26.87% 52.72% +1.2 2
1995-08-02 Aarhus GF L 2-4 1692 1690 44.96% 28.34% 26.70% -15.6 1
1995-08-02 @ Naestved W 4-2 1690 1692 26.70% 28.34% 44.96% +15.6 4
1995-08-02 Ikast W 2-0 1706 1661 50.42% 27.41% 22.17% +11.7 3
1995-08-02 @ Odense L 0-2 1661 1706 22.17% 27.41% 50.42% -11.7 0
1995-08-02 Herfolge W 1-0 1726 1572 62.55% 23.52% 13.93% +3.9 4
1995-08-02 @ Silkeborg L 0-1 1572 1726 13.93% 23.52% 62.55% -4.0 0
1995-08-02 Vejle BK L 0-2 1584 1657 34.47% 28.92% 36.60% -16.5 0
1995-08-02 @ Viborg W 2-0 1657 1584 36.60% 28.92% 34.47% +16.5 3
1995-08-04 Brondby W 3-1 1706 1765 36.58% 28.92% 34.49% +14.3 7
1995-08-04 @ Aarhus GF L 1-3 1765 1706 34.49% 28.92% 36.58% -14.3 4
1995-08-04 Silkeborg W 1-0 1649 1730 33.46% 28.90% 37.64% +9.3 3
1995-08-04 @ Ikast L 0-1 1730 1649 37.64% 28.90% 33.46% -9.3 4
1995-08-05 Viborg W 8-1 1801 1567 70.09% 19.89% 10.02% +13.5 9
1995-08-05 @ Aalborg L 1-8 1567 1801 10.02% 19.89% 70.09% -13.5 0
1995-08-06 Odense W 2-1 1711 1718 43.88% 28.47% 27.65% +7.0 6
1995-08-06 @ FC Copenhagen L 1-2 1718 1711 27.65% 28.47% 43.88% -7.0 3
1995-08-06 Naestved W 2-0 1569 1677 29.85% 28.71% 41.45% +18.9 3
1995-08-06 @ Herfolge L 0-2 1677 1569 41.45% 28.71% 29.85% -18.9 1
1995-08-06 Vejle BK W 3-0 1703 1674 48.51% 27.79% 23.70% +18.0 5
1995-08-06 @ Lyngby L 0-3 1674 1703 23.70% 27.79% 48.51% -18.0 3
1995-08-09 Odense L 1-2 1587 1711 27.98% 28.52% 43.51% -7.1 3
1995-08-09 @ Herfolge W 2-1 1711 1587 43.51% 28.52% 27.98% +7.1 6
1995-08-11 Herfolge W 3-2 1750 1580 64.15% 22.82% 13.03% +3.3 7
1995-08-11 @ Brondby L 2-3 1580 1750 13.03% 22.82% 64.15% -3.3 3
1995-08-11 Aalborg D 1-1 1718 1814 31.32% 28.81% 39.87% +0.4 7
1995-08-11 @ Odense D 1-1 1814 1718 39.87% 28.81% 31.32% -0.4 10
1995-08-11 FC Copenhagen W 3-1 1721 1718 45.03% 28.34% 26.64% +11.8 7
1995-08-11 @ Silkeborg L 1-3 1718 1721 26.64% 28.34% 45.03% -11.8 6
1995-08-11 Aarhus GF D 0-0 1656 1720 35.78% 28.93% 35.29% -0.0 4
1995-08-11 @ Vejle BK D 0-0 1720 1656 35.29% 28.93% 35.78% +0.0 8
1995-08-13 Ikast D 1-1 1658 1659 44.54% 28.40% 27.06% -0.8 2
1995-08-13 @ Naestved D 1-1 1659 1658 27.06% 28.40% 44.54% +0.9 4
1995-08-13 Lyngby L 0-2 1554 1721 23.10% 27.65% 49.25% -12.1 0
1995-08-13 @ Viborg W 2-0 1721 1554 49.25% 27.65% 23.10% +12.1 8
1995-08-18 Silkeborg W 4-1 1814 1733 54.74% 26.32% 18.94% +12.4 13
1995-08-18 @ Aalborg L 1-4 1733 1814 18.94% 26.32% 54.74% -12.4 7
1995-08-18 Brondby L 1-2 1660 1753 31.68% 28.83% 39.49% -7.8 4
1995-08-18 @ Ikast W 2-1 1753 1660 39.49% 28.83% 31.68% +7.8 10
1995-08-20 Lyngby W 2-1 1720 1733 42.96% 28.57% 28.47% +7.2 11
1995-08-20 @ Aarhus GF L 1-2 1733 1720 28.47% 28.57% 42.96% -7.2 8
1995-08-20 Naestved W 3-1 1707 1657 51.05% 27.27% 21.68% +9.9 9
1995-08-20 @ FC Copenhagen L 1-3 1657 1707 21.68% 27.27% 51.05% -9.9 2
1995-08-20 Vejle BK L 2-4 1577 1656 33.75% 28.91% 37.34% -12.6 3
1995-08-20 @ Herfolge W 4-2 1656 1577 37.34% 28.91% 33.75% +12.6 7
1995-08-20 Viborg W 3-1 1718 1542 64.80% 22.52% 12.68% +5.8 10
1995-08-20 @ Odense L 1-3 1542 1718 12.68% 22.52% 64.80% -5.8 0
1995-08-27 FC Copenhagen L 1-4 1761 1717 50.41% 27.41% 22.18% -27.1 10
1995-08-27 @ Brondby W 4-1 1717 1761 22.18% 27.41% 50.41% +27.1 12
1995-08-27 Herfolge W 2-0 1726 1564 63.33% 23.18% 13.49% +7.2 11
1995-08-27 @ Lyngby L 0-2 1564 1726 13.49% 23.18% 63.33% -7.2 3
1995-08-27 Aalborg D 1-1 1647 1826 21.92% 27.34% 50.74% +1.5 3
1995-08-27 @ Naestved D 1-1 1826 1647 50.74% 27.34% 21.92% -1.5 14
1995-08-27 Odense W 2-1 1720 1724 44.22% 28.44% 27.34% +7.0 10
1995-08-27 @ Silkeborg L 1-2 1724 1720 27.34% 28.44% 44.22% -6.9 10
1995-08-27 Ikast D 1-1 1668 1652 46.86% 28.07% 25.07% -1.1 8
1995-08-27 @ Vejle BK D 1-1 1652 1668 25.07% 28.07% 46.86% +1.1 5
1995-08-27 Aarhus GF D 1-1 1536 1727 20.80% 27.00% 52.20% +1.6 1
1995-08-27 @ Viborg D 1-1 1727 1536 52.20% 27.00% 20.80% -1.6 12
1995-09-01 Brondby L 0-3 1825 1734 55.82% 25.99% 18.19% -34.9 14
1995-09-01 @ Aalborg W 3-0 1734 1825 18.19% 25.99% 55.82% +34.9 13
1995-09-01 Vejle BK L 1-2 1744 1667 54.19% 26.47% 19.34% -11.7 12
1995-09-01 @ FC Copenhagen W 2-1 1667 1744 19.34% 26.47% 54.19% +11.7 11
1995-09-01 Naestved W 5-0 1717 1648 53.29% 26.72% 19.99% +24.9 13
1995-09-01 @ Odense L 0-5 1648 1717 19.99% 26.72% 53.29% -24.9 3
1995-09-03 Aarhus GF L 1-5 1557 1726 23.00% 27.63% 49.37% -19.1 3
1995-09-03 @ Herfolge W 5-1 1726 1557 49.37% 27.63% 23.00% +19.1 15
1995-09-03 Lyngby L 0-4 1653 1733 33.53% 28.90% 37.57% -30.8 5
1995-09-03 @ Ikast W 4-0 1733 1653 37.57% 28.90% 33.53% +30.7 14
1995-09-03 Viborg L 0-2 1727 1537 66.08% 21.92% 12.00% -27.5 10
1995-09-03 @ Silkeborg W 2-0 1537 1727 12.00% 21.92% 66.08% +27.5 4
1995-09-08 Odense D 1-1 1769 1742 48.23% 27.84% 23.93% -1.2 14
1995-09-08 @ Brondby D 1-1 1742 1769 23.93% 27.84% 48.23% +1.2 14
1995-09-08 Silkeborg W 1-0 1623 1700 34.07% 28.92% 37.01% +9.2 6
1995-09-08 @ Naestved L 0-1 1700 1623 37.01% 28.92% 34.07% -9.2 10
1995-09-10 Ikast W 3-0 1745 1622 59.31% 24.80% 15.88% +12.4 18
1995-09-10 @ Aarhus GF L 0-3 1622 1745 15.88% 24.80% 59.31% -12.4 5
1995-09-10 FC Copenhagen D 2-2 1764 1732 48.83% 27.73% 23.44% -0.9 15
1995-09-10 @ Lyngby D 2-2 1732 1764 23.44% 27.73% 48.83% +1.0 13
1995-09-10 Aalborg L 1-3 1679 1790 29.47% 28.67% 41.85% -12.8 11
1995-09-10 @ Vejle BK W 3-1 1790 1679 41.85% 28.67% 29.47% +12.8 17
1995-09-10 Herfolge W 2-1 1565 1538 48.15% 27.86% 24.00% +6.2 7
1995-09-10 @ Viborg L 1-2 1538 1565 24.00% 27.86% 48.15% -6.2 3
1995-09-17 Lyngby L 0-1 1803 1763 49.79% 27.54% 22.67% -11.6 17
1995-09-17 @ Aalborg W 1-0 1763 1803 22.67% 27.54% 49.79% +11.6 18
1995-09-17 Aarhus GF L 1-3 1733 1757 41.42% 28.71% 29.87% -16.4 13
1995-09-17 @ FC Copenhagen W 3-1 1757 1733 29.87% 28.71% 41.42% +16.4 21
1995-09-17 Herfolge W 1-0 1610 1532 54.35% 26.43% 19.22% +5.5 8
1995-09-17 @ Ikast L 0-1 1532 1610 19.22% 26.43% 54.35% -5.5 3
1995-09-17 Viborg W 6-2 1633 1571 52.44% 26.94% 20.62% +14.7 9
1995-09-17 @ Naestved L 2-6 1571 1633 20.62% 26.94% 52.44% -14.7 7
1995-09-17 Vejle BK W 1-0 1743 1666 54.24% 26.46% 19.30% +5.5 17
1995-09-17 @ Odense L 0-1 1666 1743 19.30% 26.46% 54.24% -5.5 11
1995-09-17 Brondby W 2-0 1691 1768 33.93% 28.91% 37.16% +17.4 13
1995-09-17 @ Silkeborg L 0-2 1768 1691 37.16% 28.91% 33.93% -17.4 14
1995-09-20 Aalborg W 1-0 1774 1791 42.34% 28.63% 29.03% +7.7 24
1995-09-20 @ Aarhus GF L 0-1 1791 1774 29.03% 28.63% 42.34% -7.7 17
1995-09-20 Naestved W 6-1 1750 1647 57.21% 25.54% 17.24% +17.9 17
1995-09-20 @ Brondby L 1-6 1647 1750 17.24% 25.54% 57.21% -17.9 9
1995-09-20 FC Copenhagen L 0-3 1527 1716 20.95% 27.05% 52.00% -16.1 3
1995-09-20 @ Herfolge W 3-0 1716 1527 52.00% 27.05% 20.95% +16.1 16
1995-09-20 Odense L 0-2 1775 1749 48.08% 27.87% 24.05% -21.3 18
1995-09-20 @ Lyngby W 2-0 1749 1775 24.05% 27.87% 48.08% +21.3 20
1995-09-20 Silkeborg D 1-1 1661 1708 38.23% 28.88% 32.89% -0.2 12
1995-09-20 @ Vejle BK D 1-1 1708 1661 32.89% 28.88% 38.23% +0.2 14
1995-09-20 Ikast W 3-1 1556 1615 36.56% 28.92% 34.52% +14.3 10
1995-09-20 @ Viborg L 1-3 1615 1556 34.52% 28.92% 36.56% -14.3 8
1995-09-22 Lyngby D 1-1 1708 1753 38.52% 28.87% 32.61% -0.3 15
1995-09-22 @ Silkeborg D 1-1 1753 1708 32.61% 28.87% 38.52% +0.3 19
1995-09-22 Brondby D 2-2 1571 1768 20.26% 26.81% 52.92% +1.2 11
1995-09-22 @ Viborg D 2-2 1768 1571 52.92% 26.81% 20.26% -1.2 18
1995-09-24 Herfolge W 4-0 1783 1510 73.44% 18.05% 8.51% +8.0 20
1995-09-24 @ Aalborg L 0-4 1510 1783 8.51% 18.05% 73.44% -8.0 3
1995-09-24 Ikast D 1-1 1733 1601 60.28% 24.44% 15.28% -2.4 17
1995-09-24 @ FC Copenhagen D 1-1 1601 1733 15.28% 24.44% 60.28% +2.4 9
1995-09-24 Vejle BK D 0-0 1629 1661 40.47% 28.77% 30.76% -0.5 10
1995-09-24 @ Naestved D 0-0 1661 1629 30.76% 28.77% 40.47% +0.5 13
1995-09-24 Aarhus GF W 1-0 1770 1781 43.17% 28.55% 28.28% +7.6 23
1995-09-24 @ Odense L 0-1 1781 1770 28.28% 28.55% 43.17% -7.6 24
1995-10-01 Odense W 3-0 1791 1777 46.53% 28.12% 25.34% +19.0 23
1995-10-01 @ Aalborg L 0-3 1777 1791 25.34% 28.12% 46.53% -19.0 23
1995-10-01 Vejle BK D 0-0 1774 1661 58.25% 25.19% 16.56% -2.4 25
1995-10-01 @ Aarhus GF D 0-0 1661 1774 16.56% 25.19% 58.25% +2.5 14
1995-10-01 Silkeborg W 1-0 1730 1708 47.61% 27.95% 24.44% +6.7 20
1995-10-01 @ FC Copenhagen L 0-1 1708 1730 24.44% 27.95% 47.61% -6.7 15
1995-10-01 Brondby L 0-1 1502 1767 15.22% 24.40% 60.37% -4.3 3
1995-10-01 @ Herfolge W 1-0 1767 1502 60.37% 24.40% 15.22% +4.3 21
1995-10-01 Naestved L 1-2 1603 1629 41.25% 28.72% 30.03% -9.4 9
1995-10-01 @ Ikast W 2-1 1629 1603 30.03% 28.72% 41.25% +9.4 13
1995-10-01 Viborg W 4-0 1754 1572 65.30% 22.29% 12.41% +12.4 22
1995-10-01 @ Lyngby L 0-4 1572 1754 12.41% 22.29% 65.30% -12.4 11
1995-10-06 Aarhus GF L 1-2 1771 1771 44.73% 28.37% 26.90% -10.0 21
1995-10-06 @ Brondby W 2-1 1771 1771 26.90% 28.37% 44.73% +10.0 28
1995-10-06 FC Copenhagen D 0-0 1758 1737 47.49% 27.97% 24.54% -1.3 24
1995-10-06 @ Odense D 0-0 1737 1758 24.54% 27.97% 47.49% +1.3 21
1995-10-06 Ikast D 1-1 1701 1594 57.67% 25.39% 16.94% -2.1 16
1995-10-06 @ Silkeborg D 1-1 1594 1701 16.94% 25.39% 57.67% +2.1 10
1995-10-06 Aalborg W 4-0 1560 1810 16.14% 24.96% 58.90% +47.7 14
1995-10-06 @ Viborg L 0-4 1810 1560 58.90% 24.96% 16.14% -47.6 23
1995-10-08 Herfolge W 3-2 1638 1498 61.16% 24.09% 14.75% +3.7 16
1995-10-08 @ Naestved L 2-3 1498 1638 14.75% 24.09% 61.16% -3.7 3
1995-10-08 Lyngby L 0-3 1664 1766 30.55% 28.76% 40.69% -22.0 14
1995-10-08 @ Vejle BK W 3-0 1766 1664 40.69% 28.76% 30.55% +22.0 25
1995-10-13 Aalborg W 2-1 1738 1763 41.40% 28.71% 29.89% +7.4 24
1995-10-13 @ FC Copenhagen L 1-2 1763 1738 29.89% 28.71% 41.40% -7.4 23
1995-10-13 Brondby L 1-3 1788 1761 48.15% 27.86% 24.00% -18.4 25
1995-10-13 @ Lyngby W 3-1 1761 1788 24.00% 27.86% 48.15% +18.4 24
1995-10-15 Naestved W 3-0 1781 1642 61.07% 24.13% 14.80% +11.5 31
1995-10-15 @ Aarhus GF L 0-3 1642 1781 14.80% 24.13% 61.07% -11.5 16
1995-10-15 Silkeborg W 5-2 1494 1699 19.66% 26.60% 53.75% +24.7 6
1995-10-15 @ Herfolge L 2-5 1699 1494 53.75% 26.60% 19.66% -24.7 16
1995-10-15 Odense L 1-3 1596 1757 23.74% 27.80% 48.46% -10.7 10
1995-10-15 @ Ikast W 3-1 1757 1596 48.46% 27.80% 23.74% +10.7 27
1995-10-15 Viborg D 3-3 1642 1607 49.13% 27.67% 23.20% -0.8 15
1995-10-15 @ Vejle BK D 3-3 1607 1642 23.20% 27.67% 49.13% +0.8 15
1995-10-20 Ikast W 3-0 1755 1585 64.16% 22.81% 13.03% +10.0 26
1995-10-20 @ Aalborg L 0-3 1585 1755 13.03% 22.81% 64.16% -10.0 10
1995-10-22 Vejle BK W 4-0 1780 1641 61.06% 24.13% 14.81% +15.1 27
1995-10-22 @ Brondby L 0-4 1641 1780 14.81% 24.13% 61.06% -15.0 15
1995-10-22 Lyngby L 1-4 1630 1770 26.12% 28.26% 45.62% -16.4 16
1995-10-22 @ Naestved W 4-1 1770 1630 45.62% 28.26% 26.12% +16.4 28
1995-10-22 Herfolge L 0-2 1768 1519 71.41% 19.18% 9.41% -29.0 27
1995-10-22 @ Odense W 2-0 1519 1768 9.41% 19.18% 71.41% +29.0 9
1995-10-22 Aarhus GF L 0-3 1674 1793 28.54% 28.58% 42.88% -20.9 16
1995-10-22 @ Silkeborg W 3-0 1793 1674 42.88% 28.58% 28.54% +20.9 34
1995-10-22 FC Copenhagen D 2-2 1608 1746 26.28% 28.28% 45.44% +0.7 16
1995-10-22 @ Viborg D 2-2 1746 1608 45.44% 28.28% 26.28% -0.7 25
1995-10-27 Viborg W 4-0 1795 1609 65.74% 22.08% 12.18% +12.2 30
1995-10-27 @ Brondby L 0-4 1609 1795 12.18% 22.08% 65.74% -12.2 16
1995-10-27 Aalborg D 1-1 1548 1765 18.63% 26.19% 55.18% +1.9 10
1995-10-27 @ Herfolge D 1-1 1765 1548 55.18% 26.19% 18.63% -1.9 27
1995-10-29 Odense D 2-2 1814 1739 54.01% 26.52% 19.47% -1.3 35
1995-10-29 @ Aarhus GF D 2-2 1739 1814 19.47% 26.52% 54.01% +1.3 28
1995-10-29 FC Copenhagen W 4-2 1575 1745 22.87% 27.59% 49.54% +16.9 13
1995-10-29 @ Ikast L 2-4 1745 1575 49.54% 27.59% 22.87% -16.9 25
1995-10-29 Silkeborg L 1-2 1786 1653 60.36% 24.41% 15.23% -12.8 28
1995-10-29 @ Lyngby W 2-1 1653 1786 15.23% 24.41% 60.36% +12.8 19
1995-10-29 Naestved W 2-0 1626 1614 46.22% 28.17% 25.61% +13.2 18
1995-10-29 @ Vejle BK L 0-2 1614 1626 25.61% 28.17% 46.22% -13.2 16
1995-11-05 Aarhus GF L 2-4 1763 1812 37.98% 28.89% 33.13% -13.7 27
1995-11-05 @ Aalborg W 4-2 1812 1763 33.13% 28.89% 37.98% +13.7 38
1995-11-05 Herfolge D 0-0 1728 1550 64.96% 22.45% 12.59% -3.1 26
1995-11-05 @ FC Copenhagen D 0-0 1550 1728 12.59% 22.45% 64.96% +3.1 11
1995-11-05 Viborg D 1-1 1592 1597 44.12% 28.45% 27.43% -0.8 14
1995-11-05 @ Ikast D 1-1 1597 1592 27.43% 28.45% 44.12% +0.8 17
1995-11-05 Brondby L 0-1 1601 1807 19.53% 26.55% 53.92% -5.5 16
1995-11-05 @ Naestved W 1-0 1807 1601 53.92% 26.55% 19.53% +5.5 33
1995-11-05 Lyngby D 2-2 1740 1773 40.21% 28.79% 31.00% -0.3 29
1995-11-05 @ Odense D 2-2 1773 1740 31.00% 28.79% 40.21% +0.3 29
1995-11-05 Vejle BK L 1-2 1666 1639 48.26% 27.84% 23.90% -10.7 19
1995-11-05 @ Silkeborg W 2-1 1639 1666 23.90% 27.84% 48.26% +10.7 21
1995-11-10 FC Copenhagen W 2-0 1826 1725 56.98% 25.62% 17.40% +9.3 41
1995-11-10 @ Aarhus GF L 0-2 1725 1826 17.40% 25.62% 56.98% -9.3 26
1995-11-10 Silkeborg W 4-1 1813 1656 62.87% 23.38% 13.75% +9.0 36
1995-11-10 @ Brondby L 1-4 1656 1813 13.75% 23.38% 62.87% -9.0 19
1995-11-10 Aalborg D 0-0 1773 1750 47.80% 27.92% 24.28% -1.3 30
1995-11-10 @ Lyngby D 0-0 1750 1773 24.28% 27.92% 47.80% +1.3 28
1995-11-10 Odense D 1-1 1650 1740 32.16% 28.85% 38.99% +0.3 22
1995-11-10 @ Vejle BK D 1-1 1740 1650 38.99% 28.85% 32.16% -0.3 30
1995-11-12 Ikast W 1-0 1553 1591 39.49% 28.83% 31.68% +8.2 14
1995-11-12 @ Herfolge L 0-1 1591 1553 31.68% 28.83% 39.49% -8.2 14
1995-11-12 Naestved W 4-0 1597 1595 44.96% 28.34% 26.69% +25.9 20
1995-11-12 @ Viborg L 0-4 1595 1597 26.69% 28.34% 44.96% -25.9 16
1995-11-17 Brondby L 0-3 1739 1822 33.27% 28.90% 37.83% -23.4 30
1995-11-17 @ Odense W 3-0 1822 1739 37.83% 28.90% 33.27% +23.4 39
1995-11-19 Lyngby D 2-2 1716 1772 36.90% 28.92% 34.18% -0.1 27
1995-11-19 @ FC Copenhagen D 2-2 1772 1716 34.18% 28.92% 36.90% +0.1 31
1995-11-19 Viborg D 3-3 1561 1623 36.14% 28.93% 34.93% -0.0 15
1995-11-19 @ Herfolge D 3-3 1623 1561 34.93% 28.93% 36.14% +0.0 21
1995-11-26 Herfolge W 3-0 1835 1561 73.53% 18.00% 8.47% +6.1 44
1995-11-26 @ Aarhus GF L 0-3 1561 1835 8.47% 18.00% 73.53% -6.1 15
1995-11-26 Aalborg W 1-0 1845 1751 56.20% 25.87% 17.93% +5.1 42
1995-11-26 @ Brondby L 0-1 1751 1845 17.93% 25.87% 56.20% -5.1 28
1995-11-26 Ikast W 3-2 1772 1583 66.02% 21.95% 12.03% +3.0 34
1995-11-26 @ Lyngby L 2-3 1583 1772 12.03% 21.95% 66.02% -3.0 14
1995-11-26 Odense L 0-4 1570 1716 25.29% 28.11% 46.60% -24.8 16
1995-11-26 @ Naestved W 4-0 1716 1570 46.60% 28.11% 25.29% +24.8 33
1995-11-26 FC Copenhagen L 0-1 1650 1716 35.58% 28.93% 35.49% -9.0 22
1995-11-26 @ Vejle BK W 1-0 1716 1650 35.49% 28.93% 35.58% +9.0 30
1995-11-26 Silkeborg L 0-3 1623 1647 41.54% 28.70% 29.76% -27.5 21
1995-11-26 @ Viborg W 3-0 1647 1623 29.76% 28.70% 41.54% +27.5 22
1995-11-29 Vejle BK W 1-0 1746 1641 57.41% 25.48% 17.11% +4.9 31
1995-11-29 @ Aalborg L 0-1 1641 1746 17.11% 25.48% 57.41% -4.9 22
1995-11-29 Aarhus GF D 2-2 1580 1841 15.44% 24.54% 60.03% +1.8 15
1995-11-29 @ Ikast D 2-2 1841 1580 60.03% 24.54% 15.44% -1.8 45
1995-11-29 Naestved W 5-0 1674 1545 60.04% 24.53% 15.43% +19.4 25
1995-11-29 @ Silkeborg L 0-5 1545 1674 15.43% 24.53% 60.04% -19.4 16
1996-03-24 Brondby L 0-3 1725 1850 27.69% 28.48% 43.83% -20.4 30
1996-03-24 @ FC Copenhagen W 3-0 1850 1725 43.83% 28.48% 27.69% +20.4 45
1996-03-24 Vejle BK W 2-1 1582 1636 37.24% 28.91% 33.85% +8.2 18
1996-03-24 @ Ikast L 1-2 1636 1582 33.85% 28.91% 37.24% -8.2 22
1996-03-31 Herfolge D 1-1 1840 1555 74.37% 17.52% 8.11% -3.5 46
1996-03-31 @ Aarhus GF D 1-1 1555 1840 8.11% 17.52% 74.37% +3.5 16
1996-03-31 Viborg D 1-1 1870 1596 73.59% 17.97% 8.44% -3.5 46
1996-03-31 @ Brondby D 1-1 1596 1870 8.44% 17.97% 73.59% +3.5 22
1996-03-31 Aalborg D 1-1 1590 1751 23.78% 27.81% 48.41% +1.2 19
1996-03-31 @ Ikast D 1-1 1751 1590 48.41% 27.81% 23.78% -1.2 32
1996-03-31 FC Copenhagen L 1-2 1628 1704 34.08% 28.92% 37.01% -8.2 22
1996-03-31 @ Vejle BK W 2-1 1704 1628 37.01% 28.92% 34.08% +8.2 33
1996-04-04 Vejle BK W 2-0 1750 1620 60.09% 24.51% 15.40% +8.3 35
1996-04-04 @ Aalborg L 0-2 1620 1750 15.40% 24.51% 60.09% -8.3 22
1996-04-04 Naestved D 1-1 1712 1525 65.81% 22.05% 12.14% -2.9 34
1996-04-04 @ FC Copenhagen D 1-1 1525 1712 12.14% 22.05% 65.81% +2.9 17
1996-04-04 Brondby D 0-0 1559 1867 12.70% 22.54% 64.76% +3.1 17
1996-04-04 @ Herfolge D 0-0 1867 1559 64.76% 22.54% 12.70% -3.1 47
1996-04-04 Ikast W 2-0 1741 1591 62.13% 23.70% 14.18% +7.6 36
1996-04-04 @ Odense L 0-2 1591 1741 14.18% 23.70% 62.13% -7.6 19
1996-04-04 Aarhus GF W 2-1 1694 1836 25.72% 28.19% 46.09% +10.3 28
1996-04-04 @ Silkeborg L 1-2 1836 1694 46.09% 28.19% 25.72% -10.3 46
1996-04-04 Lyngby L 0-2 1599 1775 22.25% 27.43% 50.32% -11.7 22
1996-04-04 @ Viborg W 2-0 1775 1599 50.32% 27.43% 22.25% +11.7 37
1996-04-08 Ikast W 1-0 1864 1584 74.03% 17.71% 8.25% +2.2 50
1996-04-08 @ Brondby L 0-1 1584 1864 8.25% 17.71% 74.03% -2.2 19
1996-04-08 Aarhus GF L 0-1 1787 1826 39.39% 28.84% 31.78% -9.7 37
1996-04-08 @ Lyngby W 1-0 1826 1787 31.78% 28.84% 39.39% +9.7 49
1996-04-08 FC Copenhagen D 2-2 1528 1709 21.76% 27.29% 50.95% +1.1 18
1996-04-08 @ Naestved D 2-2 1709 1528 50.95% 27.29% 21.76% -1.1 35
1996-04-08 Aalborg W 2-1 1704 1758 37.27% 28.91% 33.82% +8.2 31
1996-04-08 @ Silkeborg L 1-2 1758 1704 33.82% 28.91% 37.27% -8.2 35
1996-04-08 Herfolge W 2-1 1611 1562 50.99% 27.28% 21.73% +5.7 25
1996-04-08 @ Vejle BK L 1-2 1562 1611 21.73% 27.28% 50.99% -5.7 17
1996-04-08 Odense W 2-1 1587 1748 23.76% 27.80% 48.44% +10.7 25
1996-04-08 @ Viborg L 1-2 1748 1587 48.44% 27.80% 23.76% -10.7 36
1996-04-14 Silkeborg L 0-1 1750 1712 49.54% 27.59% 22.87% -11.6 35
1996-04-14 @ Aalborg W 1-0 1712 1750 22.87% 27.59% 49.54% +11.5 34
1996-04-14 Naestved W 3-1 1836 1529 76.09% 16.52% 7.40% +3.1 52
1996-04-14 @ Aarhus GF L 1-3 1529 1836 7.40% 16.52% 76.09% -3.1 18
1996-04-14 Vejle BK W 6-0 1866 1617 71.42% 19.18% 9.40% +13.2 53
1996-04-14 @ Brondby L 0-6 1617 1866 9.40% 19.18% 71.42% -13.2 25
1996-04-14 Viborg W 2-0 1708 1598 57.98% 25.28% 16.74% +9.0 38
1996-04-14 @ FC Copenhagen L 0-2 1598 1708 16.74% 25.28% 57.98% -9.0 25
1996-04-14 Lyngby L 0-5 1582 1777 20.43% 26.87% 52.70% -25.4 19
1996-04-14 @ Ikast W 5-0 1777 1582 52.70% 26.87% 20.43% +25.4 40
1996-04-14 Herfolge W 5-1 1738 1556 65.28% 22.30% 12.42% +10.3 39
1996-04-14 @ Odense L 1-5 1556 1738 12.42% 22.30% 65.28% -10.4 17
1996-04-17 Naestved W 4-0 1738 1526 68.13% 20.91% 10.96% +10.8 38
1996-04-17 @ Aalborg L 0-4 1526 1738 10.96% 20.91% 68.13% -10.8 18
1996-04-17 Viborg D 1-1 1839 1589 71.47% 19.15% 9.38% -3.3 53
1996-04-17 @ Aarhus GF D 1-1 1589 1839 9.38% 19.15% 71.47% +3.3 26
1996-04-17 Lyngby D 2-2 1546 1803 15.73% 24.72% 59.55% +1.7 18
1996-04-17 @ Herfolge D 2-2 1803 1546 59.55% 24.72% 15.73% -1.7 41
1996-04-17 Silkeborg W 1-0 1748 1724 47.89% 27.90% 24.21% +6.7 42
1996-04-17 @ Odense L 0-1 1724 1748 24.21% 27.90% 47.89% -6.7 34
1996-04-21 Ikast D 1-1 1835 1556 73.95% 17.76% 8.29% -3.5 54
1996-04-21 @ Aarhus GF D 1-1 1556 1835 8.29% 17.76% 73.95% +3.5 20
1996-04-21 Herfolge W 2-1 1717 1548 64.14% 22.82% 13.04% +3.5 41
1996-04-21 @ FC Copenhagen L 1-2 1548 1717 13.04% 22.82% 64.14% -3.5 18
1996-04-21 Vejle BK D 1-1 1801 1604 66.76% 21.59% 11.65% -3.0 42
1996-04-21 @ Lyngby D 1-1 1604 1801 11.65% 21.59% 66.76% +3.0 26
1996-04-21 Brondby L 0-1 1516 1879 10.10% 19.99% 69.91% -2.7 18
1996-04-21 @ Naestved W 1-0 1879 1516 69.91% 19.99% 10.10% +2.7 56
1996-04-21 Odense D 1-1 1717 1755 39.54% 28.83% 31.64% -0.4 35
1996-04-21 @ Silkeborg D 1-1 1755 1717 31.64% 28.83% 39.54% +0.4 43
1996-04-21 Aalborg L 0-2 1593 1749 24.24% 27.91% 47.85% -12.6 26
1996-04-21 @ Viborg W 2-0 1749 1593 47.85% 27.91% 24.24% +12.6 41
1996-04-28 Aarhus GF W 2-1 1761 1832 34.92% 28.93% 36.15% +8.5 44
1996-04-28 @ Aalborg L 1-2 1832 1761 36.15% 28.93% 34.92% -8.5 54
1996-04-28 FC Copenhagen W 4-0 1798 1721 54.28% 26.45% 19.27% +19.5 45
1996-04-28 @ Lyngby L 0-4 1721 1798 19.27% 26.45% 54.28% -19.5 41
1996-04-28 Ikast L 0-2 1513 1560 38.28% 28.88% 32.84% -17.8 18
1996-04-28 @ Naestved W 2-0 1560 1513 32.84% 28.88% 38.28% +17.8 23
1996-04-28 Brondby W 2-0 1755 1882 27.54% 28.46% 44.00% +19.8 46
1996-04-28 @ Odense L 0-2 1882 1755 44.00% 28.46% 27.54% -19.8 56
1996-04-28 Herfolge W 1-0 1716 1544 64.40% 22.71% 12.90% +3.6 38
1996-04-28 @ Silkeborg L 0-1 1544 1716 12.90% 22.71% 64.40% -3.6 18
1996-04-28 Viborg L 0-1 1607 1580 48.20% 27.85% 23.95% -11.3 26
1996-04-28 @ Vejle BK W 1-0 1580 1607 23.95% 27.85% 48.20% +11.3 29
1996-05-05 FC Copenhagen W 2-1 1823 1701 59.25% 24.83% 15.92% +4.3 57
1996-05-05 @ Aarhus GF L 1-2 1701 1823 15.92% 24.83% 59.25% -4.3 41
1996-05-05 Lyngby L 1-2 1862 1818 50.39% 27.42% 22.20% -11.0 56
1996-05-05 @ Brondby W 2-1 1818 1862 22.20% 27.42% 50.39% +11.0 48
1996-05-05 Viborg D 2-2 1540 1591 37.72% 28.90% 33.38% -0.2 19
1996-05-05 @ Herfolge D 2-2 1591 1540 33.38% 28.90% 37.72% +0.2 30
1996-05-05 Silkeborg L 1-2 1577 1720 25.72% 28.19% 46.09% -6.6 23
1996-05-05 @ Ikast W 2-1 1720 1577 46.09% 28.19% 25.72% +6.6 41
1996-05-05 Vejle BK W 1-0 1495 1596 30.79% 28.78% 40.43% +9.8 21
1996-05-05 @ Naestved L 0-1 1596 1495 40.43% 28.78% 30.79% -9.8 26
1996-05-05 Aalborg W 5-1 1775 1770 45.35% 28.29% 26.35% +21.3 49
1996-05-05 @ Odense L 1-5 1770 1775 26.35% 28.29% 45.35% -21.3 44
1996-05-08 Naestved W 2-0 1749 1505 70.98% 19.41% 9.60% +4.9 47
1996-05-08 @ Aalborg L 0-2 1505 1749 9.60% 19.41% 70.98% -4.9 21
1996-05-08 Ikast W 2-0 1851 1571 74.03% 17.71% 8.25% +4.1 59
1996-05-08 @ Brondby L 0-2 1571 1851 8.25% 17.71% 74.03% -4.0 23
1996-05-08 Silkeborg W 1-0 1697 1727 40.67% 28.76% 30.57% +8.0 44
1996-05-08 @ FC Copenhagen L 0-1 1727 1697 30.57% 28.76% 40.67% -8.0 41
1996-05-08 Lyngby D 1-1 1540 1829 13.79% 23.41% 62.79% +2.6 20
1996-05-08 @ Herfolge D 1-1 1829 1540 62.79% 23.41% 13.79% -2.6 49
1996-05-08 Odense W 2-0 1586 1796 19.17% 26.41% 54.42% +23.5 29
1996-05-08 @ Vejle BK L 0-2 1796 1586 54.42% 26.41% 19.17% -23.5 49
1996-05-08 Aarhus GF D 0-0 1591 1828 17.18% 25.51% 57.31% +2.3 31
1996-05-08 @ Viborg D 0-0 1828 1591 57.31% 25.51% 17.18% -2.3 58
1996-05-12 Brondby D 3-3 1825 1855 40.64% 28.76% 30.59% -0.3 59
1996-05-12 @ Aarhus GF D 3-3 1855 1825 30.59% 28.76% 40.64% +0.3 60
1996-05-12 Aalborg W 3-1 1705 1754 38.04% 28.89% 33.07% +13.9 47
1996-05-12 @ FC Copenhagen L 1-3 1754 1705 33.07% 28.89% 38.04% -13.9 47
1996-05-12 Ikast W 4-1 1543 1567 41.48% 28.70% 29.81% +18.2 23
1996-05-12 @ Herfolge L 1-4 1567 1543 29.81% 28.70% 41.48% -18.2 23
1996-05-12 Odense L 0-1 1826 1773 51.45% 27.18% 21.37% -11.9 49
1996-05-12 @ Lyngby W 1-0 1773 1826 21.37% 27.18% 51.45% +11.9 52
1996-05-12 Vejle BK W 3-1 1719 1609 57.90% 25.31% 16.79% +7.8 44
1996-05-12 @ Silkeborg L 1-3 1609 1719 16.79% 25.31% 57.90% -7.8 29
1996-05-12 Naestved W 6-2 1594 1500 56.17% 25.88% 17.95% +12.9 34
1996-05-12 @ Viborg L 2-6 1500 1594 17.95% 25.88% 56.17% -12.9 21
1996-05-15 Silkeborg L 2-3 1814 1727 55.47% 26.10% 18.43% -11.3 49
1996-05-15 @ Lyngby W 3-2 1727 1814 18.43% 26.10% 55.47% +11.3 47
1996-05-15 Odense D 1-1 1487 1785 13.27% 23.01% 63.72% +2.7 22
1996-05-15 @ Naestved D 1-1 1785 1487 63.72% 23.01% 13.27% -2.7 53
1996-05-19 Herfolge W 4-0 1740 1561 64.99% 22.43% 12.57% +12.6 50
1996-05-19 @ Aalborg L 0-4 1561 1740 12.57% 22.43% 64.99% -12.6 23
1996-05-19 Silkeborg D 1-1 1855 1738 58.78% 25.00% 16.22% -2.2 61
1996-05-19 @ Brondby D 1-1 1738 1855 16.22% 25.00% 58.78% +2.2 48
1996-05-19 FC Copenhagen D 1-1 1549 1719 22.81% 27.58% 49.61% +1.4 24
1996-05-19 @ Ikast D 1-1 1719 1549 49.61% 27.58% 22.81% -1.4 48
1996-05-19 Naestved W 2-0 1803 1490 76.61% 16.21% 7.19% +3.4 52
1996-05-19 @ Lyngby L 0-2 1490 1803 7.19% 16.21% 76.61% -3.4 22
1996-05-19 Viborg W 3-1 1782 1607 64.68% 22.57% 12.74% +5.8 56
1996-05-19 @ Odense L 1-3 1607 1782 12.74% 22.57% 64.68% -5.8 34
1996-05-19 Aarhus GF L 0-1 1601 1825 18.14% 25.97% 55.89% -5.2 29
1996-05-19 @ Vejle BK W 1-0 1825 1601 55.89% 25.97% 18.14% +5.2 62
1996-05-23 Lyngby D 1-1 1752 1806 37.27% 28.91% 33.82% -0.2 51
1996-05-23 @ Aalborg D 1-1 1806 1752 33.82% 28.91% 37.27% +0.2 53
1996-05-23 Odense D 1-1 1830 1788 50.11% 27.48% 22.42% -1.4 63
1996-05-23 @ Aarhus GF D 1-1 1788 1830 22.42% 27.48% 50.11% +1.4 57
1996-05-23 Brondby L 0-4 1718 1853 26.52% 28.32% 45.17% -25.7 48
1996-05-23 @ FC Copenhagen W 4-0 1853 1718 45.17% 28.32% 26.52% +25.7 64
1996-05-23 Herfolge L 0-4 1486 1549 36.08% 28.93% 34.99% -32.4 22
1996-05-23 @ Naestved W 4-0 1549 1486 34.99% 28.93% 36.08% +32.4 26
1996-05-23 Ikast W 5-0 1596 1550 50.61% 27.37% 22.02% +27.2 32
1996-05-23 @ Vejle BK L 0-5 1550 1596 22.02% 27.37% 50.61% -27.2 24
1996-05-23 Silkeborg W 2-1 1601 1740 26.10% 28.25% 45.65% +10.2 37
1996-05-23 @ Viborg L 1-2 1740 1601 45.65% 28.25% 26.10% -10.2 48
1996-05-27 Aalborg W 2-0 1879 1752 59.76% 24.64% 15.60% +8.4 67
1996-05-27 @ Brondby L 0-2 1752 1879 15.60% 24.64% 59.76% -8.4 51
1996-05-27 Vejle BK D 1-1 1581 1623 38.88% 28.86% 32.26% -0.3 27
1996-05-27 @ Herfolge D 1-1 1623 1581 32.26% 28.86% 38.88% +0.3 33
1996-05-27 Viborg D 0-0 1523 1611 32.44% 28.87% 38.69% +0.3 25
1996-05-27 @ Ikast D 0-0 1611 1523 38.69% 28.87% 32.44% -0.3 38
1996-05-27 Aarhus GF L 0-2 1806 1829 41.69% 28.69% 29.62% -19.0 53
1996-05-27 @ Lyngby W 2-0 1829 1806 29.62% 28.69% 41.69% +19.0 66
1996-05-27 FC Copenhagen W 2-1 1789 1692 56.57% 25.76% 17.68% +4.7 60
1996-05-27 @ Odense L 1-2 1692 1789 17.68% 25.76% 56.57% -4.8 48
1996-05-27 Naestved D 1-1 1730 1454 73.69% 17.91% 8.40% -3.5 49
1996-05-27 @ Silkeborg D 1-1 1454 1730 8.40% 17.91% 73.69% +3.5 23

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 1995-10-22 9.41% Herfolge 1519 2 @ Odense 1768 0
2 1995-09-03 12.00% Viborg 1537 2 @ Silkeborg 1727 0
3 1995-10-29 15.23% Silkeborg 1653 2 @ Lyngby 1786 1
4 1995-10-06 16.14% @ Viborg 1560 4 Aalborg 1810 0
5 1995-09-01 18.19% Brondby 1734 3 @ Aalborg 1825 0
6 1996-05-15 18.43% Silkeborg 1727 3 @ Lyngby 1814 2
7 1996-05-08 19.17% @ Vejle BK 1586 2 Odense 1796 0
8 1995-09-01 19.34% Vejle BK 1667 2 @ FC Copenhagen 1744 1
9 1995-10-15 19.66% @ Herfolge 1494 5 Silkeborg 1699 2
10 1996-05-12 21.37% Odense 1773 1 @ Lyngby 1826 0
11 1995-08-27 22.18% FC Copenhagen 1717 4 @ Brondby 1761 1
12 1996-05-05 22.20% Lyngby 1818 2 @ Brondby 1862 1
13 1995-09-17 22.67% Lyngby 1763 1 @ Aalborg 1803 0
14 1995-10-29 22.87% @ Ikast 1575 4 FC Copenhagen 1745 2
15 1996-04-14 22.87% Silkeborg 1712 1 @ Aalborg 1750 0
16 1996-04-08 23.76% @ Viborg 1587 2 Odense 1748 1
17 1995-11-05 23.90% Vejle BK 1639 2 @ Silkeborg 1666 1
18 1996-04-28 23.95% Viborg 1580 1 @ Vejle BK 1607 0
19 1995-10-13 24.00% Brondby 1761 3 @ Lyngby 1788 1
20 1995-09-20 24.05% Odense 1749 2 @ Lyngby 1775 0
21 1996-04-04 25.72% @ Silkeborg 1694 2 Aarhus GF 1836 1
22 1996-05-23 26.10% @ Viborg 1601 2 Silkeborg 1740 1
23 1995-08-02 26.70% Aarhus GF 1690 4 @ Naestved 1692 2
24 1995-10-06 26.90% Aarhus GF 1771 2 @ Brondby 1771 1
25 1996-04-28 27.54% @ Odense 1755 2 Brondby 1882 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 1995-10-06 47.65 @ Viborg 4 1560 16.14% Aalborg 0 1810 58.90% 24.96%
2 1995-09-01 34.91 Brondby 3 1734 18.19% @ Aalborg 0 1825 55.82% 25.99%
3 1996-05-23 32.41 Herfolge 4 1549 34.99% @ Naestved 0 1486 36.08% 28.93%
4 1995-09-03 30.75 Lyngby 4 1733 37.57% @ Ikast 0 1653 33.53% 28.90%
5 1995-10-22 29.04 Herfolge 2 1519 9.41% @ Odense 0 1768 71.41% 19.18%
6 1995-11-26 27.54 Silkeborg 3 1647 29.76% @ Viborg 0 1623 41.54% 28.70%
7 1995-09-03 27.49 Viborg 2 1537 12.00% @ Silkeborg 0 1727 66.08% 21.92%
8 1996-05-23 27.15 @ Vejle BK 5 1596 50.61% Ikast 0 1550 22.02% 27.37%
9 1995-08-27 27.07 FC Copenhagen 4 1717 22.18% @ Brondby 1 1761 50.41% 27.41%
10 1995-11-12 25.86 @ Viborg 4 1597 44.96% Naestved 0 1595 26.69% 28.34%
11 1996-05-23 25.72 Brondby 4 1853 45.17% @ FC Copenhagen 0 1718 26.52% 28.32%
12 1996-04-14 25.40 Lyngby 5 1777 52.70% @ Ikast 0 1582 20.43% 26.87%
13 1995-09-01 24.91 @ Odense 5 1717 53.29% Naestved 0 1648 19.99% 26.72%
14 1995-11-26 24.76 Odense 4 1716 46.60% @ Naestved 0 1570 25.29% 28.11%
15 1995-10-15 24.71 @ Herfolge 5 1494 19.66% Silkeborg 2 1699 53.75% 26.60%
16 1996-05-08 23.54 @ Vejle BK 2 1586 19.17% Odense 0 1796 54.42% 26.41%
17 1995-11-17 23.41 Brondby 3 1822 37.83% @ Odense 0 1739 33.27% 28.90%
18 1995-07-30 22.97 Aalborg 3 1772 38.70% @ Ikast 0 1684 32.43% 28.87%
19 1995-10-08 21.97 Lyngby 3 1766 40.69% @ Vejle BK 0 1664 30.55% 28.76%
20 1996-05-05 21.33 @ Odense 5 1775 45.35% Aalborg 1 1770 26.35% 28.29%
21 1995-09-20 21.27 Odense 2 1749 24.05% @ Lyngby 0 1775 48.08% 27.87%
22 1995-10-22 20.86 Aarhus GF 3 1793 42.88% @ Silkeborg 0 1674 28.54% 28.58%
23 1996-03-24 20.38 Brondby 3 1850 43.83% @ FC Copenhagen 0 1725 27.69% 28.48%
24 1996-04-28 19.82 @ Odense 2 1755 27.54% Brondby 0 1882 44.00% 28.46%
25 1996-04-28 19.54 @ Lyngby 4 1798 54.28% FC Copenhagen 0 1721 19.27% 26.45%