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2000-01 Superliga Season

198 games

Final

Champion

FC Copenhagen

63 points · 2nd Title

Last Title: 1992-93

Relegated

Sonderjyske

11 pts

Herfolge · 30 pts

Biggest Overachiever

FC Copenhagen

10.98 points above expected

63 points · 52.02 expected points

Biggest Disappointment

Sonderjyske

14.90 points below expected

11 points · 25.90 expected points

League Table

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

# Team GP W D L Pts GF GA GD SimPts vsSim
1 FC Copenhagen Champion 33 17 12 4 63 55 27 +28 52.02 +10.98
2 Brondby 33 17 7 9 58 71 42 +29 58.29 -0.29
3 Silkeborg 33 15 11 7 56 49 36 +13 51.48 +4.52
4 Midtjylland 33 14 11 8 53 54 43 +11 44.60 +8.40
5 Aalborg 33 13 10 10 49 51 49 +2 47.94 +1.06
6 Viborg 33 13 7 13 46 52 42 +10 50.38 -4.38
7 Odense 33 13 7 13 46 49 45 +4 45.88 +0.12
8 Aarhus GF 33 13 5 15 44 54 58 -4 38.83 +5.17
9 Lyngby 33 12 8 13 44 40 53 -13 41.49 +2.51
10 AB Copenhagen 33 8 15 10 39 43 41 +2 45.53 -6.53
11 Herfolge Relegated 33 7 9 17 30 41 65 -24 36.31 -6.31
12 Sonderjyske Relegated 33 1 8 24 11 30 88 -58 25.90 -14.90

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
FC Copenhagen 1732 63 52.02 +10.98 94.2% 27 40 47 52 57 64 76
Brondby 1703 58 58.29 -0.29 51.0% 34 46 53 58 63 70 87
Silkeborg 1668 56 51.48 +4.52 75.6% 21 39 47 51 56 64 80
AB Copenhagen 1627 39 45.53 -6.53 19.7% 21 34 41 45 50 57 73
Aarhus GF 1615 44 38.83 +5.17 79.0% 15 28 34 39 44 50 64
Aalborg 1613 49 47.94 +1.06 58.8% 21 36 43 48 53 60 75
Viborg 1608 46 50.38 -4.38 29.8% 25 39 45 50 55 62 77
Midtjylland 1601 53 44.60 +8.40 89.1% 14 33 40 45 49 56 71
Odense 1573 46 45.88 +0.12 53.5% 19 34 41 46 51 58 75
Lyngby 1511 44 41.49 +2.51 66.7% 14 30 37 41 46 53 69
Herfolge 1486 30 36.31 -6.31 20.4% 13 25 32 36 41 48 66
Sonderjyske 1353 11 25.90 -14.90 0.7% 6 16 22 26 30 36 53

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 AC AAL AG BRO FC HER LYN MID ODE SIL SON VIB
AB Copenhagen —
0-2-1
3.82
2-1-0
4.46
0-1-2
2.90
0-2-1
3.56
1-1-1
5.26
1-0-2
4.50
0-2-1
4.03
1-1-1
3.97
1-1-1
3.75
1-2-0
5.83
1-2-0
3.51
Aalborg
1-2-0
4.30
 —
2-0-1
4.98
0-1-2
2.87
0-2-1
3.80
2-1-0
4.84
1-1-1
4.65
1-0-2
4.50
1-1-1
4.22
0-1-2
4.03
2-1-0
5.81
3-0-0
3.85
Aarhus GF
0-1-2
3.66
1-0-2
3.17
 —
2-0-1
2.44
1-0-2
3.03
1-1-1
4.27
2-0-1
3.71
3-0-0
3.47
2-0-1
3.43
0-1-2
2.92
1-2-0
5.77
0-0-3
2.95
Brondby
2-1-0
5.27
2-1-0
5.30
1-0-2
5.78
 —
0-0-3
4.49
1-1-1
5.95
1-0-2
5.61
0-3-0
4.93
1-1-1
5.27
3-0-0
4.10
3-0-0
6.89
3-0-0
4.77
FC Copenhagen
1-2-0
4.57
1-2-0
4.33
2-0-1
5.13
3-0-0
3.64
 —
2-1-0
5.37
0-2-1
5.34
1-1-1
4.62
3-0-0
4.91
0-3-0
4.10
3-0-0
6.00
1-1-1
4.03
Herfolge
1-1-1
2.90
0-1-2
3.30
1-1-1
3.85
1-1-1
2.29
0-1-2
2.81
 —
0-1-2
3.77
0-0-3
3.52
0-1-2
3.09
1-1-1
2.83
3-0-0
4.92
0-1-2
3.11
Lyngby
2-0-1
3.64
1-1-1
3.49
1-0-2
4.42
2-0-1
2.59
1-2-0
2.85
2-1-0
4.35
 —
0-2-1
3.67
0-1-2
3.89
0-0-3
3.33
2-1-0
5.66
1-0-2
3.64
Midtjylland
1-2-0
4.09
2-0-1
3.62
0-0-3
4.66
0-3-0
3.22
1-1-1
3.51
3-0-0
4.62
1-2-0
4.46
 —
2-1-0
3.68
0-1-2
3.35
3-0-0
5.85
1-1-1
3.48
Odense
1-1-1
4.15
1-1-1
3.91
1-0-2
4.70
1-1-1
2.89
0-0-3
3.23
2-1-0
5.06
2-1-0
4.23
0-1-2
4.45
 —
2-0-1
3.56
2-0-1
5.85
1-1-1
3.79
Silkeborg
1-1-1
4.40
2-1-0
4.10
2-1-0
5.25
0-0-3
4.03
0-3-0
4.02
1-1-1
5.37
3-0-0
4.80
2-1-0
4.78
1-0-2
4.57
 —
1-2-0
6.07
2-1-0
4.08
Sonderjyske
0-2-1
2.40
0-1-2
2.43
0-2-1
2.45
0-0-3
1.51
0-0-3
2.27
0-0-3
3.22
0-1-2
2.55
0-0-3
2.38
1-0-2
2.38
0-2-1
2.21
 —
0-0-3
2.15
Viborg
0-2-1
4.62
0-0-3
4.27
3-0-0
5.21
0-0-3
3.37
1-1-1
4.09
2-1-0
5.06
2-0-1
4.50
1-1-1
4.65
1-1-1
4.34
0-1-2
4.04
3-0-0
6.13
 —

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 0.66 +11.1
Allowed 0.85 -8.1
Differential 0.92 +5.6

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
07.58%5.30%4.29%2.53%2.78%0.51%22.98%
15.30%14.65%9.85%3.79%1.26%1.52%36.36%
24.29%9.85%5.05%1.26%2.02%0.25%22.73%
32.53%3.79%1.26%—0.51%0.25%8.33%
42.78%1.26%2.02%0.51%0.51%—7.07%
5+0.51%1.52%0.25%0.25%——2.53%
Total22.98%36.36%22.73%8.33%7.07%2.53%100%

Summary Statistics

Scored Allowed Difference
Mean 1.49 1.49 +0.00
SD 1.30 1.30 1.93
CV 0.87 0.87 —
Max 7 7 +6
Min 0 0 -6

Games Played: 198

↓ Scored | Allowed →012345+Total
015.15%9.09%——3.03%—27.27%
1—24.24%6.06%3.03%3.03%—36.36%
26.06%3.03%6.06%—6.06%—21.21%
33.03%6.06%————9.09%
46.06%—————6.06%
5+———————
Total30.30%42.42%12.12%3.03%12.12%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.30 1.24 +0.06
SD 1.16 1.28 1.77
CV 0.89 1.03 —
Max 4 4 +4
Min 0 0 -4

Games Played: 33

↓ Scored | Allowed →012345+Total
03.03%3.03%6.06%3.03%3.03%—18.18%
16.06%15.15%15.15%———36.36%
23.03%18.18%9.09%———30.30%
3——6.06%———6.06%
4—3.03%——3.03%—6.06%
5+—3.03%————3.03%
Total12.12%42.42%36.36%3.03%6.06%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.55 1.48 +0.06
SD 1.23 0.97 1.56
CV 0.79 0.65 —
Max 5 4 +4
Min 0 0 -4

Games Played: 33

↓ Scored | Allowed →012345+Total
03.03%—6.06%3.03%6.06%—18.18%
19.09%6.06%12.12%6.06%3.03%3.03%39.39%
26.06%6.06%6.06%—3.03%—21.21%
33.03%———3.03%—6.06%
46.06%6.06%————12.12%
5+——3.03%———3.03%
Total27.27%18.18%27.27%9.09%15.15%3.03%100%

Summary Statistics

Scored Allowed Difference
Mean 1.64 1.76 -0.12
SD 1.37 1.50 2.32
CV 0.83 0.85 —
Max 5 5 +4
Min 0 0 -4

Games Played: 33

↓ Scored | Allowed →012345+Total
03.03%—3.03%3.03%——9.09%
16.06%9.09%15.15%3.03%——33.33%
26.06%12.12%9.09%3.03%——30.30%
3—6.06%————6.06%
46.06%—6.06%———12.12%
5+3.03%6.06%————9.09%
Total24.24%33.33%33.33%9.09%——100%

Summary Statistics

Scored Allowed Difference
Mean 2.15 1.27 +0.88
SD 1.68 0.94 2.13
CV 0.78 0.74 —
Max 7 3 +6
Min 0 0 -3

Games Played: 33

↓ Scored | Allowed →012345+Total
012.12%6.06%————18.18%
112.12%15.15%6.06%———33.33%
23.03%15.15%9.09%———27.27%
36.06%3.03%————9.09%
46.06%——3.03%——9.09%
5+—3.03%————3.03%
Total39.39%42.42%15.15%3.03%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.67 0.82 +0.85
SD 1.31 0.81 1.42
CV 0.79 0.99 —
Max 5 3 +4
Min 0 0 -1

Games Played: 33

↓ Scored | Allowed →012345+Total
06.06%3.03%12.12%6.06%—3.03%30.30%
1—15.15%6.06%6.06%—3.03%30.30%
2—9.09%6.06%6.06%3.03%—24.24%
33.03%6.06%3.03%—3.03%—15.15%
4———————
5+———————
Total9.09%33.33%27.27%18.18%6.06%6.06%100%

Summary Statistics

Scored Allowed Difference
Mean 1.24 1.97 -0.73
SD 1.06 1.31 1.74
CV 0.85 0.67 —
Max 3 5 +3
Min 0 0 -5

Games Played: 33

↓ Scored | Allowed →012345+Total
09.09%3.03%12.12%6.06%6.06%—36.36%
16.06%15.15%—9.09%——30.30%
2—12.12%———3.03%15.15%
33.03%6.06%3.03%———12.12%
4—3.03%3.03%———6.06%
5+———————
Total18.18%39.39%18.18%15.15%6.06%3.03%100%

Summary Statistics

Scored Allowed Difference
Mean 1.21 1.61 -0.39
SD 1.24 1.30 1.94
CV 1.03 0.81 —
Max 4 5 +3
Min 0 0 -4

Games Played: 33

↓ Scored | Allowed →012345+Total
09.09%—3.03%6.06%——18.18%
19.09%18.18%6.06%3.03%3.03%—39.39%
26.06%12.12%6.06%———24.24%
3——3.03%——3.03%6.06%
43.03%—3.03%———6.06%
5+3.03%3.03%————6.06%
Total30.30%33.33%21.21%9.09%3.03%3.03%100%

Summary Statistics

Scored Allowed Difference
Mean 1.64 1.30 +0.33
SD 1.45 1.26 1.98
CV 0.89 0.97 —
Max 6 5 +6
Min 0 0 -3

Games Played: 33

↓ Scored | Allowed →012345+Total
06.06%9.09%——3.03%—18.18%
16.06%15.15%15.15%3.03%3.03%—42.42%
26.06%9.09%—3.03%3.03%—21.21%
3—9.09%————9.09%
43.03%3.03%3.03%———9.09%
5+———————
Total21.21%45.45%18.18%6.06%9.09%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.48 1.36 +0.12
SD 1.18 1.17 1.73
CV 0.79 0.86 —
Max 4 4 +4
Min 0 0 -4

Games Played: 33

↓ Scored | Allowed →012345+Total
012.12%12.12%————24.24%
16.06%12.12%6.06%——3.03%27.27%
29.09%15.15%6.06%———30.30%
36.06%6.06%————12.12%
4——3.03%—3.03%—6.06%
5+———————
Total33.33%45.45%15.15%—3.03%3.03%100%

Summary Statistics

Scored Allowed Difference
Mean 1.48 1.09 +0.39
SD 1.18 1.38 1.64
CV 0.79 1.26 —
Max 4 7 +3
Min 0 0 -6

Games Played: 33

↓ Scored | Allowed →012345+Total
03.03%9.09%—3.03%12.12%3.03%30.30%
1—18.18%15.15%9.09%3.03%9.09%54.55%
2——3.03%3.03%6.06%—12.12%
3———————
4——3.03%———3.03%
5+———————
Total3.03%27.27%21.21%15.15%21.21%12.12%100%

Summary Statistics

Scored Allowed Difference
Mean 0.91 2.67 -1.76
SD 0.84 1.59 1.82
CV 0.93 0.60 —
Max 4 6 +2
Min 0 0 -6

Games Played: 33

↓ Scored | Allowed →012345+Total
09.09%9.09%9.09%———27.27%
13.03%12.12%15.15%3.03%——33.33%
26.06%6.06%——3.03%—15.15%
36.06%3.03%————9.09%
43.03%—3.03%3.03%——9.09%
5+—3.03%—3.03%——6.06%
Total27.27%33.33%27.27%9.09%3.03%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.58 1.27 +0.30
SD 1.52 1.07 1.76
CV 0.97 0.84 —
Max 5 4 +4
Min 0 0 -2

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 FC Copenhagen 63 52.02 +10.98
2 Midtjylland 53 44.60 +8.40
3 Aarhus GF 44 38.83 +5.17
4 Silkeborg 56 51.48 +4.52
5 Lyngby 44 41.49 +2.51

Biggest Disappointments

# Team Actual Sim vsSim
1 Sonderjyske 11 25.90 -14.90
2 AB Copenhagen 39 45.53 -6.53
3 Herfolge 30 36.31 -6.31
4 Viborg 46 50.38 -4.38
5 Brondby 58 58.29 -0.29

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 Aarhus GF 3 Oct 22 – Nov 5 1 in 114
2 FC Copenhagen 4 Aug 27 – Sep 17 1 in 96
3 Viborg 5 Nov 5 – Mar 11 1 in 77
4 Silkeborg 5 Nov 19 – Apr 2 1 in 57
5 Lyngby 3 Aug 20 – Sep 6 1 in 46

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 AB Copenhagen 4 Aug 28 – Sep 18 1 in 144
2 Aarhus GF 5 Aug 20 – Sep 17 1 in 82
3 Sonderjyske 5 Jul 23 – Aug 20 1 in 43
4 Brondby 2 Nov 27 – Mar 11 1 in 28
5 Herfolge 3 Jul 26 – Aug 4 1 in 23

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 FC Copenhagen 18 Nov 12 – Jun 13 1 in 235
2 Midtjylland 10 Aug 21 – Oct 30 1 in 110
3 Silkeborg 10 Aug 20 – Oct 29 1 in 41
4 Odense 7 Apr 16 – May 20 1 in 25
5 AB Copenhagen 6 Apr 1 – Apr 29 1 in 16

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Lyngby 10 Mar 18 – May 17 1 in 73
2 Sonderjyske 16 Jul 23 – Nov 12 1 in 41
3 Herfolge 9 Sep 17 – Nov 19 1 in 20
4 AB Copenhagen 7 Oct 15 – Nov 26 1 in 19
5 Aarhus GF 8 Aug 20 – Oct 15 1 in 17

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
FC Copenhagen14.91%18.96%16.36%13.58%10.86%8.39%6.46%4.64%3.16%1.82%0.79%0.07%
Brondby47.41%20.86%12.53%7.64%4.71%3.12%1.69%1.10%0.56%0.31%0.07%—
Silkeborg13.11%16.05%15.21%14.35%12.22%9.27%6.95%5.50%3.80%2.30%1.06%0.18%
Midtjylland2.23%5.01%7.53%9.06%9.82%12.48%12.70%13.16%11.60%9.38%5.78%1.25%
Aalborg5.44%9.46%10.91%12.10%13.04%11.89%11.18%9.48%7.96%5.19%2.92%0.43%
Viborg9.59%13.97%14.89%14.30%12.07%10.59%8.38%6.98%4.84%2.97%1.21%0.21%
Odense3.23%6.37%8.72%10.27%11.38%12.33%12.27%11.52%10.28%7.75%5.03%0.85%
Aarhus GF0.24%0.87%1.80%2.80%4.75%6.47%9.30%12.47%16.28%19.54%19.76%5.72%
Lyngby0.85%1.96%3.44%5.06%6.96%8.81%11.69%13.52%15.84%16.45%12.66%2.76%
AB Copenhagen2.86%6.05%7.73%9.34%11.41%12.53%13.02%12.22%10.84%8.38%4.86%0.76%
Herfolge0.13%0.43%0.87%1.47%2.75%3.95%6.04%8.69%12.99%20.75%31.23%10.70%
Sonderjyske—0.01%0.01%0.03%0.03%0.17%0.32%0.72%1.85%5.16%14.63%77.07%

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
+8.59%
Slight Edge
40.40%27.78%31.82%
Elo Value
Home Edge: 29.90 Elo pts.
148 Elo
0.007 goals per Elo point
0400
Scoring Tilt
Expected
+0.32 goals
Neutral
-2+0.20+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
3.6
Top-Heavy
124610
Champion Preseason Odds
15%
FC Copenhagen, 2nd of 12
LongshotFavorite
Title Margin
Expected
0.15/gm
Tight Race
00.160.5/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 5.67 * Some Luck: 5.67 to 8.51 * Lucky: 8.51 to 11.34 * Wild Swing: 11.34 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 1.53 * Close: 1.53 to 2.3 * Off: 2.3 to 3.07 * Way Off: 3.07 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 0.66 * A Surprise: 0.66 to 1.06 * Several Surprises: 1.06 to 1.46 * Many Surprises: 1.46 and up.
Luck Spread
Expected
6.89 points
Some Luck
07.0918
Average Finish Error
Expected
1.17
Pinpoint
01.924
Biggest Overachiever
Expected 95.83%
94.20%
FC Copenhagen
50100
Biggest Underachiever
Expected 4.17%
0.66%
Sonderjyske
050
Season Outliers
Expected
1 of 12
Minimal Outliers
01.26
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
0.16
Even
00.120.180.260.5
Noll-Scully
Coin-flip
1.61
Strong Separation
01.003
Interquartile Edge
61%
Slight Edge
50%60%70%80%100%
Best vs. Worst
Baseline
90%
Strong Edge
50%89%100%
Close Games
Expected
62%
Very Frequent
0%56%100%
Blowouts
Expected
18%
Frequent
0%20%100%

Predictability

How these are measured

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

Brier Score
How close the pregame probabilities landed to the actual result, averaged over the season. Confident, correct calls are rewarded most; confident misses are punished most. Lower is better; since draws are possible, a score under 0.66 beats guessing the base rate.
Highly Predictable: under 0.56 * Predictable: 0.56 to 0.62 * Hard to Predict: 0.62 to 0.66 * Coin-Flip: 0.66 and up.
Matchup Imbalance
How lopsided the matchups were on paper, averaging the gap between the two win probabilities over their sum. 0 means every match was a toss-up; 1 means every match was a heavy favorite against a big underdog.
Very Even: under 0.1 * 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
0.63
Hard to Predict
00.632
Matchup Imbalance
0.28
Notable Separation
00.10.180.280.5
Strangeness
Expected
1.05
As Expected
01.002
Repeatability
0.41
Some Carryover
00.30.60.851
Upset Rate
Expected
26%
As Expected
0%26%50%
Clear Favorite Upset Rate
Expected
19%
As Expected
0%22%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 0.19 * Above Noise: 0.19 to 0.25 * Well Above Noise: 0.25 and up.
Probability calibration
0.82
Excellent
0.010.050.10.51
Calibration slope
Ideal
1.07
Calibrated
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.066
Well Within Noise
00.1230.3

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 99.93% 0.07%
FC Copenhagen 99.14% 0.86%
Silkeborg 98.76% 1.24%
Viborg 98.58% 1.42%
Aalborg 96.65% 3.35%
AB Copenhagen 94.38% 5.62%
Odense 94.12% 5.88%
Midtjylland 92.97% 7.03%
Lyngby 84.58% 15.42%
Aarhus GF 74.52% 25.48%
Herfolge 58.07% 41.93%
Sonderjyske 8.30% 91.70%

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
2000-07-22 Aarhus GF L 1-2 1640 1561 50.03% 27.80% 22.17% -10.3 0
2000-07-22 @ Brondby W 2-1 1561 1640 22.17% 27.80% 50.03% +10.3 3
2000-07-23 Lyngby W 4-0 1547 1576 35.46% 29.46% 35.08% +29.9 3
2000-07-23 @ Midtjylland L 0-4 1576 1547 35.08% 29.46% 35.46% -29.9 0
2000-07-23 Silkeborg D 1-1 1618 1614 40.02% 29.30% 30.68% -0.4 1
2000-07-23 @ AB Copenhagen D 1-1 1614 1618 30.68% 29.30% 40.02% +0.4 1
2000-07-23 Sonderjyske W 5-1 1596 1547 46.18% 28.58% 25.24% +19.4 3
2000-07-23 @ FC Copenhagen L 1-5 1547 1596 25.24% 28.58% 46.18% -19.4 0
2000-07-24 Viborg L 0-1 1573 1598 36.01% 29.46% 34.53% -8.5 0
2000-07-24 @ Odense W 1-0 1598 1573 34.53% 29.46% 36.01% +8.5 3
2000-07-26 Aalborg L 2-3 1593 1626 34.88% 29.46% 35.66% -7.4 0
2000-07-26 @ Herfolge W 3-2 1626 1593 35.66% 29.46% 34.88% +7.4 3
2000-07-29 Odense D 0-0 1630 1565 48.22% 28.20% 23.58% -1.3 1
2000-07-29 @ Brondby D 0-0 1565 1630 23.58% 28.20% 48.22% +1.3 1
2000-07-30 Aalborg L 1-2 1528 1633 25.60% 28.65% 45.75% -6.2 0
2000-07-30 @ Sonderjyske W 2-1 1633 1528 45.75% 28.65% 25.60% +6.2 6
2000-07-30 AB Copenhagen D 1-1 1606 1617 38.00% 29.41% 32.59% -0.2 4
2000-07-30 @ Viborg D 1-1 1617 1606 32.59% 29.41% 38.00% +0.2 2
2000-07-30 FC Copenhagen W 1-0 1571 1616 33.16% 29.43% 37.41% +8.7 6
2000-07-30 @ Aarhus GF L 0-1 1616 1571 37.41% 29.43% 33.16% -8.7 3
2000-07-30 Herfolge W 3-1 1546 1586 33.82% 29.45% 36.73% +14.1 3
2000-07-30 @ Lyngby L 1-3 1586 1546 36.73% 29.45% 33.82% -14.1 0
2000-07-31 Midtjylland W 2-1 1614 1577 44.62% 28.82% 26.56% +6.4 4
2000-07-31 @ Silkeborg L 1-2 1577 1614 26.56% 28.82% 44.62% -6.4 3
2000-08-04 Viborg L 1-5 1572 1606 34.66% 29.46% 35.88% -24.7 0
2000-08-04 @ Herfolge W 5-1 1606 1572 35.88% 29.46% 34.66% +24.7 7
2000-08-05 Brondby D 2-2 1571 1628 31.44% 29.35% 39.21% +0.3 4
2000-08-05 @ Midtjylland D 2-2 1628 1571 39.21% 29.35% 31.44% -0.3 2
2000-08-06 Aarhus GF W 4-0 1566 1580 37.58% 29.43% 32.99% +28.6 4
2000-08-06 @ Odense L 0-4 1580 1566 32.99% 29.43% 37.58% -28.6 6
2000-08-06 Lyngby L 1-2 1607 1560 45.90% 28.62% 25.48% -9.6 3
2000-08-06 @ FC Copenhagen W 2-1 1560 1607 25.48% 28.62% 45.90% +9.6 6
2000-08-06 Sonderjyske W 4-0 1617 1522 52.05% 27.29% 20.66% +19.6 5
2000-08-06 @ AB Copenhagen L 0-4 1522 1617 20.66% 27.29% 52.05% -19.6 0
2000-08-07 Silkeborg L 1-2 1640 1621 42.14% 29.12% 28.74% -9.0 6
2000-08-07 @ Aalborg W 2-1 1621 1640 28.74% 29.12% 42.14% +9.0 7
2000-08-13 AB Copenhagen D 2-2 1631 1637 38.64% 29.38% 31.98% -0.2 7
2000-08-13 @ Aalborg D 2-2 1637 1631 31.98% 29.38% 38.64% +0.2 6
2000-08-13 Brondby L 1-7 1630 1628 39.76% 29.32% 30.92% -39.5 7
2000-08-13 @ Silkeborg W 7-1 1628 1630 30.92% 29.32% 39.76% +39.5 5
2000-08-13 FC Copenhagen D 0-0 1631 1597 44.10% 28.89% 27.01% -0.9 8
2000-08-13 @ Viborg D 0-0 1597 1631 27.01% 28.89% 44.10% +0.9 4
2000-08-13 Herfolge L 1-2 1502 1547 33.11% 29.43% 37.46% -7.5 0
2000-08-13 @ Sonderjyske W 2-1 1547 1502 37.46% 29.43% 33.11% +7.5 3
2000-08-13 Midtjylland W 3-0 1551 1571 36.70% 29.45% 33.85% +22.3 9
2000-08-13 @ Aarhus GF L 0-3 1571 1551 33.85% 29.45% 36.70% -22.3 4
2000-08-13 Odense L 0-2 1570 1594 36.00% 29.46% 34.54% -16.0 6
2000-08-13 @ Lyngby W 2-0 1594 1570 34.54% 29.46% 36.00% +16.0 7
2000-08-19 Herfolge W 5-0 1667 1555 54.07% 26.70% 19.23% +22.6 8
2000-08-19 @ Brondby L 0-5 1555 1667 19.23% 26.70% 54.07% -22.6 3
2000-08-20 Aalborg W 2-1 1554 1630 28.97% 29.15% 41.88% +9.0 9
2000-08-20 @ Lyngby L 1-2 1630 1554 41.88% 29.15% 28.97% -9.0 7
2000-08-20 AB Copenhagen L 1-3 1573 1637 30.61% 29.30% 40.09% -12.3 9
2000-08-20 @ Aarhus GF W 3-1 1637 1573 40.09% 29.30% 30.61% +12.3 9
2000-08-20 Odense W 2-1 1590 1610 36.66% 29.45% 33.89% +7.7 10
2000-08-20 @ Silkeborg L 1-2 1610 1590 33.89% 29.45% 36.66% -7.7 7
2000-08-20 Sonderjyske W 2-1 1630 1494 56.70% 25.83% 17.47% +4.4 11
2000-08-20 @ Viborg L 1-2 1494 1630 17.47% 25.83% 56.70% -4.4 0
2000-08-21 FC Copenhagen W 1-0 1549 1598 32.51% 29.41% 38.08% +8.9 7
2000-08-21 @ Midtjylland L 0-1 1598 1549 38.08% 29.41% 32.51% -8.9 4
2000-08-27 Aarhus GF W 3-1 1532 1561 35.44% 29.46% 35.10% +13.6 6
2000-08-27 @ Herfolge L 1-3 1561 1532 35.10% 29.46% 35.44% -13.6 9
2000-08-27 Brondby W 2-1 1589 1690 26.16% 28.75% 45.09% +9.5 7
2000-08-27 @ FC Copenhagen L 1-2 1690 1589 45.09% 28.75% 26.16% -9.5 8
2000-08-27 Midtjylland L 1-2 1603 1557 45.68% 28.66% 25.66% -9.6 7
2000-08-27 @ Odense W 2-1 1557 1603 25.66% 28.66% 45.68% +9.6 10
2000-08-27 Silkeborg D 1-1 1490 1598 25.36% 28.60% 46.04% +1.0 1
2000-08-27 @ Sonderjyske D 1-1 1598 1490 46.04% 28.60% 25.36% -1.0 11
2000-08-27 Viborg W 1-0 1621 1634 37.71% 29.42% 32.86% +8.0 10
2000-08-27 @ Aalborg L 0-1 1634 1621 32.86% 29.42% 37.71% -8.0 11
2000-08-28 Lyngby L 0-1 1650 1563 50.98% 27.57% 21.45% -11.1 9
2000-08-28 @ AB Copenhagen W 1-0 1563 1650 21.45% 27.57% 50.98% +11.1 12
2000-09-06 Aalborg W 2-0 1593 1629 34.36% 29.46% 36.18% +16.1 10
2000-09-06 @ Odense L 0-2 1629 1593 36.18% 29.46% 34.36% -16.1 10
2000-09-06 AB Copenhagen W 1-0 1599 1638 33.90% 29.45% 36.65% +8.6 10
2000-09-06 @ FC Copenhagen L 0-1 1638 1599 36.65% 29.45% 33.90% -8.6 9
2000-09-06 Lyngby L 1-4 1547 1574 35.78% 29.46% 34.76% -19.5 9
2000-09-06 @ Aarhus GF W 4-1 1574 1547 34.76% 29.46% 35.78% +19.5 15
2000-09-06 Silkeborg D 0-0 1546 1597 32.30% 29.40% 38.30% +0.3 7
2000-09-06 @ Herfolge D 0-0 1597 1546 38.30% 29.40% 32.30% -0.3 12
2000-09-06 Sonderjyske W 5-1 1567 1491 49.62% 27.89% 22.48% +17.6 13
2000-09-06 @ Midtjylland L 1-5 1491 1567 22.48% 27.89% 49.62% -17.6 1
2000-09-06 Viborg W 2-0 1681 1626 46.84% 28.46% 24.70% +12.0 11
2000-09-06 @ Brondby L 0-2 1626 1681 24.70% 28.46% 46.84% -12.0 11
2000-09-10 Aarhus GF W 2-1 1597 1528 48.73% 28.09% 23.18% +5.7 15
2000-09-10 @ Silkeborg L 1-2 1528 1597 23.18% 28.09% 48.73% -5.7 9
2000-09-10 Brondby L 1-3 1593 1693 26.30% 28.77% 44.93% -11.0 15
2000-09-10 @ Lyngby W 3-1 1693 1593 44.93% 28.77% 26.30% +11.0 14
2000-09-10 Herfolge L 1-3 1630 1546 50.57% 27.67% 21.76% -18.0 9
2000-09-10 @ AB Copenhagen W 3-1 1546 1630 21.76% 27.67% 50.57% +18.0 10
2000-09-10 Midtjylland D 0-0 1614 1585 43.59% 28.96% 27.45% -0.8 12
2000-09-10 @ Viborg D 0-0 1585 1614 27.45% 28.96% 43.59% +0.8 14
2000-09-10 Odense L 1-4 1473 1609 22.48% 27.89% 49.62% -13.6 1
2000-09-10 @ Sonderjyske W 4-1 1609 1473 49.62% 27.89% 22.48% +13.6 13
2000-09-11 FC Copenhagen L 1-2 1613 1607 40.34% 29.28% 30.38% -8.7 10
2000-09-11 @ Aalborg W 2-1 1607 1613 30.38% 29.28% 40.34% +8.7 13
2000-09-17 Aarhus GF W 2-1 1605 1522 50.44% 27.70% 21.86% +5.4 13
2000-09-17 @ Aalborg L 1-2 1522 1605 21.86% 27.70% 50.44% -5.4 9
2000-09-17 Lyngby L 2-4 1460 1582 23.82% 28.26% 47.92% -9.0 1
2000-09-17 @ Sonderjyske W 4-2 1582 1460 47.92% 28.26% 23.82% +9.1 18
2000-09-17 Midtjylland L 0-1 1564 1585 36.50% 29.45% 34.05% -8.6 10
2000-09-17 @ Herfolge W 1-0 1585 1564 34.05% 29.45% 36.50% +8.6 17
2000-09-17 Odense W 1-0 1616 1623 38.57% 29.39% 32.04% +7.8 16
2000-09-17 @ FC Copenhagen L 0-1 1623 1616 32.04% 29.39% 38.57% -7.8 13
2000-09-17 Silkeborg D 1-1 1613 1602 41.06% 29.22% 29.72% -0.5 13
2000-09-17 @ Viborg D 1-1 1602 1613 29.72% 29.22% 41.06% +0.5 16
2000-09-18 Brondby L 0-4 1612 1704 27.18% 28.92% 43.90% -24.7 9
2000-09-18 @ AB Copenhagen W 4-0 1704 1612 43.90% 28.92% 27.18% +24.7 17
2000-09-22 Viborg W 1-0 1591 1613 36.44% 29.45% 34.10% +8.2 21
2000-09-22 @ Lyngby L 0-1 1613 1591 34.10% 29.45% 36.44% -8.2 13
2000-09-24 Aalborg W 2-1 1728 1610 54.71% 26.50% 18.79% +4.7 20
2000-09-24 @ Brondby L 1-2 1610 1728 18.79% 26.50% 54.71% -4.7 13
2000-09-24 AB Copenhagen D 1-1 1594 1587 40.48% 29.27% 30.25% -0.5 18
2000-09-24 @ Midtjylland D 1-1 1587 1594 30.25% 29.27% 40.48% +0.5 10
2000-09-24 FC Copenhagen D 0-0 1603 1624 36.53% 29.45% 34.02% -0.1 17
2000-09-24 @ Silkeborg D 0-0 1624 1603 34.02% 29.45% 36.53% +0.1 17
2000-09-24 Herfolge W 3-1 1615 1556 47.53% 28.33% 24.14% +10.2 16
2000-09-24 @ Odense L 1-3 1556 1615 24.14% 28.33% 47.53% -10.2 10
2000-09-25 Sonderjyske D 1-1 1517 1451 48.34% 28.17% 23.49% -1.2 10
2000-09-25 @ Aarhus GF D 1-1 1451 1517 23.49% 28.17% 48.34% +1.2 2
2000-10-01 Aarhus GF W 2-0 1605 1515 51.27% 27.50% 21.24% +10.6 16
2000-10-01 @ Viborg L 0-2 1515 1605 21.24% 27.50% 51.27% -10.6 10
2000-10-01 Lyngby W 3-0 1603 1599 39.99% 29.30% 30.71% +20.8 20
2000-10-01 @ Silkeborg L 0-3 1599 1603 30.71% 29.30% 39.99% -20.8 21
2000-10-01 Midtjylland L 1-2 1605 1594 41.15% 29.21% 29.63% -8.8 13
2000-10-01 @ Aalborg W 2-1 1594 1605 29.63% 29.21% 41.15% +8.8 21
2000-10-01 Odense W 3-1 1588 1625 34.15% 29.46% 36.39% +14.0 13
2000-10-01 @ AB Copenhagen L 1-3 1625 1588 36.39% 29.46% 34.15% -14.0 16
2000-10-01 Sonderjyske W 6-1 1733 1452 71.41% 18.93% 9.66% +8.8 23
2000-10-01 @ Brondby L 1-6 1452 1733 9.66% 18.93% 71.41% -8.8 2
2000-10-02 FC Copenhagen L 0-2 1545 1624 28.73% 29.12% 42.15% -13.6 10
2000-10-02 @ Herfolge W 2-0 1624 1545 42.15% 29.12% 28.73% +13.6 20
2000-10-15 Aarhus GF W 4-0 1638 1505 56.40% 25.93% 17.66% +16.9 23
2000-10-15 @ FC Copenhagen L 0-4 1505 1638 17.66% 25.93% 56.40% -16.9 10
2000-10-15 Brondby W 3-0 1579 1742 20.01% 27.03% 52.95% +31.3 24
2000-10-15 @ Lyngby L 0-3 1742 1579 52.95% 27.03% 20.01% -31.3 23
2000-10-15 Herfolge D 2-2 1597 1532 48.20% 28.20% 23.60% -0.9 14
2000-10-15 @ Aalborg D 2-2 1532 1597 23.60% 28.20% 48.20% +0.8 11
2000-10-15 Silkeborg L 0-1 1602 1624 36.41% 29.45% 34.14% -8.6 13
2000-10-15 @ AB Copenhagen W 1-0 1624 1602 34.14% 29.45% 36.41% +8.6 23
2000-10-15 Viborg L 0-4 1443 1615 19.25% 26.71% 54.04% -18.3 2
2000-10-15 @ Sonderjyske W 4-0 1615 1443 54.04% 26.71% 19.25% +18.3 19
2000-10-16 Midtjylland L 1-2 1611 1602 40.76% 29.25% 30.00% -8.8 16
2000-10-16 @ Odense W 2-1 1602 1611 30.00% 29.25% 40.76% +8.8 24
2000-10-22 Aalborg L 1-2 1634 1596 44.71% 28.80% 26.48% -9.4 19
2000-10-22 @ Viborg W 2-1 1596 1634 26.48% 28.80% 44.71% +9.4 17
2000-10-22 AB Copenhagen W 4-2 1710 1593 54.63% 26.53% 18.85% +7.3 26
2000-10-22 @ Brondby L 2-4 1593 1710 18.85% 26.53% 54.63% -7.3 13
2000-10-22 Lyngby W 5-2 1488 1610 23.86% 28.27% 47.87% +21.1 13
2000-10-22 @ Aarhus GF L 2-5 1610 1488 47.87% 28.27% 23.86% -21.1 24
2000-10-22 Odense D 1-1 1533 1603 29.84% 29.23% 40.93% +0.5 12
2000-10-22 @ Herfolge D 1-1 1603 1533 40.93% 29.23% 29.84% -0.5 17
2000-10-22 Sonderjyske D 0-0 1632 1425 64.38% 22.60% 13.01% -2.9 24
2000-10-22 @ Silkeborg D 0-0 1425 1632 13.01% 22.60% 64.38% +2.9 3
2000-10-23 FC Copenhagen D 2-2 1611 1655 33.37% 29.44% 37.20% +0.1 25
2000-10-23 @ Midtjylland D 2-2 1655 1611 37.20% 29.44% 33.37% -0.1 24
2000-10-29 AB Copenhagen D 1-1 1428 1586 20.45% 27.21% 52.34% +1.5 4
2000-10-29 @ Sonderjyske D 1-1 1586 1428 52.34% 27.21% 20.45% -1.5 14
2000-10-29 Brondby W 2-0 1509 1718 16.52% 25.28% 58.20% +23.3 16
2000-10-29 @ Aarhus GF L 0-2 1718 1509 58.20% 25.28% 16.52% -23.3 26
2000-10-29 Herfolge D 1-1 1654 1533 55.09% 26.38% 18.53% -1.8 25
2000-10-29 @ FC Copenhagen D 1-1 1533 1654 18.53% 26.38% 55.09% +1.8 13
2000-10-29 Silkeborg D 4-4 1605 1629 36.10% 29.46% 34.45% -0.0 18
2000-10-29 @ Aalborg D 4-4 1629 1605 34.45% 29.46% 36.10% +0.0 25
2000-10-29 Viborg W 2-1 1602 1624 36.37% 29.46% 34.17% +7.7 20
2000-10-29 @ Odense L 1-2 1624 1602 34.17% 29.46% 36.37% -7.7 19
2000-10-30 Midtjylland D 1-1 1589 1611 36.34% 29.46% 34.20% -0.1 25
2000-10-30 @ Lyngby D 1-1 1611 1589 34.20% 29.46% 36.34% +0.1 26
2000-11-03 Lyngby L 2-3 1535 1589 31.92% 29.38% 38.70% -7.0 13
2000-11-03 @ Herfolge W 3-2 1589 1535 38.70% 29.38% 31.92% +7.0 28
2000-11-05 Aalborg D 1-1 1584 1605 36.56% 29.45% 33.99% -0.1 15
2000-11-05 @ AB Copenhagen D 1-1 1605 1584 33.99% 29.45% 36.56% +0.1 19
2000-11-05 Aarhus GF L 1-4 1611 1532 50.00% 27.81% 22.19% -25.2 26
2000-11-05 @ Midtjylland W 4-1 1532 1611 22.19% 27.81% 50.00% +25.2 19
2000-11-05 FC Copenhagen W 2-1 1617 1653 34.38% 29.46% 36.16% +8.0 22
2000-11-05 @ Viborg L 1-2 1653 1617 36.16% 29.46% 34.38% -8.0 25
2000-11-05 Sonderjyske W 4-2 1694 1429 69.97% 19.72% 10.30% +3.8 29
2000-11-05 @ Brondby L 2-4 1429 1694 10.30% 19.72% 69.97% -3.8 4
2000-11-06 Odense L 0-1 1629 1610 42.21% 29.11% 28.67% -9.6 25
2000-11-06 @ Silkeborg W 1-0 1610 1629 28.67% 29.11% 42.21% +9.6 23
2000-11-12 AB Copenhagen W 2-1 1619 1584 44.35% 28.86% 26.79% +6.4 26
2000-11-12 @ Odense L 1-2 1584 1619 26.79% 28.86% 44.35% -6.4 15
2000-11-12 Brondby D 1-1 1586 1698 24.91% 28.51% 46.59% +1.0 27
2000-11-12 @ Midtjylland D 1-1 1698 1586 46.59% 28.51% 24.91% -1.0 30
2000-11-12 Herfolge D 1-1 1558 1528 43.60% 28.95% 27.45% -0.7 20
2000-11-12 @ Aarhus GF D 1-1 1528 1558 27.45% 28.95% 43.60% +0.7 14
2000-11-12 Silkeborg D 2-2 1645 1620 42.95% 29.03% 28.01% -0.5 26
2000-11-12 @ FC Copenhagen D 2-2 1620 1645 28.01% 29.03% 42.95% +0.5 26
2000-11-12 Sonderjyske W 1-0 1605 1425 61.54% 23.91% 14.55% +3.9 22
2000-11-12 @ Aalborg L 0-1 1425 1605 14.55% 23.91% 61.54% -3.9 4
2000-11-12 Viborg L 0-2 1596 1625 35.43% 29.46% 35.11% -15.8 28
2000-11-12 @ Lyngby W 2-0 1625 1596 35.11% 29.46% 35.43% +15.9 25
2000-11-19 Aalborg W 2-0 1697 1609 51.13% 27.53% 21.34% +10.6 33
2000-11-19 @ Brondby L 0-2 1609 1697 21.34% 27.53% 51.13% -10.6 22
2000-11-19 Aarhus GF W 4-2 1640 1557 50.56% 27.67% 21.77% +8.4 28
2000-11-19 @ Viborg L 2-4 1557 1640 21.77% 27.67% 50.56% -8.4 20
2000-11-19 Lyngby W 3-1 1620 1580 45.01% 28.76% 26.23% +11.0 29
2000-11-19 @ Silkeborg L 1-3 1580 1620 26.23% 28.76% 45.01% -11.0 28
2000-11-19 Midtjylland L 0-2 1529 1587 31.31% 29.34% 39.35% -14.5 14
2000-11-19 @ Herfolge W 2-0 1587 1529 39.35% 29.34% 31.31% +14.5 30
2000-11-19 Odense W 4-2 1422 1626 16.83% 25.46% 57.71% +17.9 7
2000-11-19 @ Sonderjyske L 2-4 1626 1422 57.71% 25.46% 16.83% -17.9 26
2000-11-20 FC Copenhagen D 2-2 1578 1644 30.27% 29.27% 40.46% +0.3 16
2000-11-20 @ AB Copenhagen D 2-2 1644 1578 40.46% 29.27% 30.27% -0.3 27
2000-11-26 Aalborg L 2-3 1608 1598 40.83% 29.24% 29.92% -8.3 26
2000-11-26 @ Odense W 3-2 1598 1608 29.92% 29.24% 40.83% +8.3 25
2000-11-26 AB Copenhagen W 2-1 1569 1578 38.26% 29.40% 32.34% +7.4 31
2000-11-26 @ Lyngby L 1-2 1578 1569 32.34% 29.40% 38.26% -7.4 16
2000-11-26 Silkeborg L 1-2 1548 1631 28.26% 29.06% 42.68% -6.7 20
2000-11-26 @ Aarhus GF W 2-1 1631 1548 42.68% 29.06% 28.26% +6.7 32
2000-11-26 Sonderjyske W 4-0 1644 1439 64.08% 22.75% 13.17% +12.4 30
2000-11-26 @ FC Copenhagen L 0-4 1439 1644 13.17% 22.75% 64.08% -12.4 7
2000-11-26 Viborg L 3-5 1602 1649 32.85% 29.42% 37.73% -11.0 30
2000-11-26 @ Midtjylland W 5-3 1649 1602 37.73% 29.42% 32.85% +11.0 31
2000-11-27 Brondby W 3-2 1514 1708 17.58% 25.89% 56.53% +10.8 17
2000-11-27 @ Herfolge L 2-3 1708 1514 56.53% 25.89% 17.58% -10.8 33
2001-03-11 Aalborg D 1-1 1656 1607 46.22% 28.57% 25.21% -1.0 31
2001-03-11 @ FC Copenhagen D 1-1 1607 1656 25.21% 28.57% 46.22% +1.0 26
2001-03-11 Herfolge W 3-0 1660 1525 56.64% 25.85% 17.51% +12.8 34
2001-03-11 @ Viborg L 0-3 1525 1660 17.51% 25.85% 56.64% -12.8 17
2001-03-11 Lyngby L 1-3 1427 1576 21.22% 27.49% 51.29% -9.1 7
2001-03-11 @ Sonderjyske W 3-1 1576 1427 51.29% 27.49% 21.22% +9.2 34
2001-03-11 Midtjylland W 3-1 1638 1591 45.92% 28.62% 25.46% +10.7 35
2001-03-11 @ Silkeborg L 1-3 1591 1638 25.46% 28.62% 45.92% -10.7 30
2001-03-11 Odense L 1-2 1697 1600 52.27% 27.23% 20.50% -10.7 33
2001-03-11 @ Brondby W 2-1 1600 1697 20.50% 27.23% 52.27% +10.7 29
2001-03-12 Aarhus GF W 2-0 1570 1542 43.47% 28.97% 27.56% +13.2 19
2001-03-12 @ AB Copenhagen L 0-2 1542 1570 27.56% 28.97% 43.47% -13.2 20
2001-03-18 Aalborg D 0-0 1586 1608 36.38% 29.46% 34.16% -0.1 35
2001-03-18 @ Lyngby D 0-0 1608 1586 34.16% 29.46% 36.38% +0.1 27
2001-03-18 Brondby L 1-3 1673 1686 37.57% 29.43% 33.01% -14.3 34
2001-03-18 @ Viborg W 3-1 1686 1673 33.01% 29.43% 37.57% +14.3 36
2001-03-18 Odense W 2-1 1655 1610 45.63% 28.67% 25.70% +6.2 34
2001-03-18 @ FC Copenhagen L 1-2 1610 1655 25.70% 28.67% 45.63% -6.2 29
2001-03-18 Silkeborg L 0-2 1512 1649 22.42% 27.88% 49.70% -11.1 17
2001-03-18 @ Herfolge W 2-0 1649 1512 49.70% 27.88% 22.42% +11.1 38
2001-03-18 Sonderjyske W 1-0 1529 1418 53.83% 26.77% 19.39% +5.2 23
2001-03-18 @ Aarhus GF L 0-1 1418 1529 19.39% 26.77% 53.83% -5.2 7
2001-03-19 AB Copenhagen W 4-2 1580 1584 39.01% 29.36% 31.63% +11.3 33
2001-03-19 @ Midtjylland L 2-4 1584 1580 31.63% 29.36% 39.01% -11.3 19
2001-04-01 Aarhus GF W 5-1 1608 1534 49.37% 27.95% 22.68% +17.7 30
2001-04-01 @ Aalborg L 1-5 1534 1608 22.68% 27.95% 49.37% -17.7 23
2001-04-01 FC Copenhagen L 1-2 1701 1661 44.89% 28.78% 26.33% -9.5 36
2001-04-01 @ Brondby W 2-1 1661 1701 26.33% 28.78% 44.89% +9.4 37
2001-04-01 Herfolge D 0-0 1572 1501 49.03% 28.03% 22.94% -1.4 20
2001-04-01 @ AB Copenhagen D 0-0 1501 1572 22.94% 28.03% 49.03% +1.4 18
2001-04-01 Lyngby D 1-1 1604 1585 42.08% 29.13% 28.79% -0.6 30
2001-04-01 @ Odense D 1-1 1585 1604 28.79% 29.13% 42.08% +0.6 36
2001-04-01 Midtjylland L 2-3 1413 1591 18.74% 26.48% 54.78% -4.5 7
2001-04-01 @ Sonderjyske W 3-2 1591 1413 54.78% 26.48% 18.74% +4.5 36
2001-04-02 Viborg W 2-0 1660 1658 39.71% 29.32% 30.97% +14.4 41
2001-04-02 @ Silkeborg L 0-2 1658 1660 30.97% 29.32% 39.71% -14.4 34
2001-04-08 Aalborg W 1-0 1596 1626 35.29% 29.46% 35.24% +8.4 39
2001-04-08 @ Midtjylland L 0-1 1626 1596 35.24% 29.46% 35.29% -8.4 30
2001-04-08 AB Copenhagen D 0-0 1644 1571 49.23% 27.98% 22.78% -1.4 35
2001-04-08 @ Viborg D 0-0 1571 1644 22.78% 27.98% 49.23% +1.4 21
2001-04-08 Odense W 4-1 1516 1603 27.70% 28.99% 43.31% +22.5 26
2001-04-08 @ Aarhus GF L 1-4 1603 1516 43.31% 28.99% 27.70% -22.5 30
2001-04-08 Silkeborg W 1-0 1691 1674 41.91% 29.14% 28.95% +7.2 39
2001-04-08 @ Brondby L 0-1 1674 1691 28.95% 29.14% 41.91% -7.2 41
2001-04-08 Sonderjyske W 3-0 1502 1408 51.84% 27.34% 20.81% +15.1 21
2001-04-08 @ Herfolge L 0-3 1408 1502 20.81% 27.34% 51.84% -15.1 7
2001-04-09 FC Copenhagen D 0-0 1586 1671 28.00% 29.03% 42.96% +0.8 37
2001-04-09 @ Lyngby D 0-0 1671 1586 42.96% 29.03% 28.00% -0.8 38
2001-04-12 AB Copenhagen D 0-0 1539 1572 34.71% 29.46% 35.83% +0.1 27
2001-04-12 @ Aarhus GF D 0-0 1572 1539 35.83% 29.46% 34.71% -0.0 22
2001-04-12 Brondby L 1-2 1581 1699 24.31% 28.37% 47.31% -5.9 30
2001-04-12 @ Odense W 2-1 1699 1581 47.31% 28.37% 24.31% +5.9 42
2001-04-12 FC Copenhagen D 1-1 1617 1670 32.06% 29.39% 38.55% +0.3 31
2001-04-12 @ Aalborg D 1-1 1670 1617 38.55% 29.39% 32.06% -0.3 39
2001-04-12 Silkeborg D 0-0 1604 1667 30.78% 29.31% 39.91% +0.4 40
2001-04-12 @ Midtjylland D 0-0 1667 1604 39.91% 29.31% 30.78% -0.5 42
2001-04-12 Sonderjyske D 1-1 1587 1393 62.98% 23.26% 13.76% -2.5 38
2001-04-12 @ Lyngby D 1-1 1393 1587 13.76% 23.26% 62.98% +2.5 8
2001-04-12 Viborg D 1-1 1517 1643 23.55% 28.19% 48.26% +1.1 22
2001-04-12 @ Herfolge D 1-1 1643 1517 48.26% 28.19% 23.55% -1.2 36
2001-04-16 Aarhus GF D 2-2 1666 1539 55.82% 26.14% 18.05% -1.4 43
2001-04-16 @ Silkeborg D 2-2 1539 1666 18.05% 26.14% 55.82% +1.4 28
2001-04-16 FC Copenhagen L 1-2 1396 1670 12.65% 22.26% 65.09% -3.1 8
2001-04-16 @ Sonderjyske W 2-1 1670 1396 65.09% 22.26% 12.65% +3.1 42
2001-04-16 Herfolge D 2-2 1704 1519 62.18% 23.62% 14.19% -1.8 43
2001-04-16 @ Brondby D 2-2 1519 1704 14.19% 23.62% 62.18% +1.8 23
2001-04-16 Lyngby W 4-0 1572 1584 37.82% 29.42% 32.76% +28.4 25
2001-04-16 @ AB Copenhagen L 0-4 1584 1572 32.76% 29.42% 37.82% -28.4 38
2001-04-16 Midtjylland L 1-2 1641 1605 44.54% 28.83% 26.63% -9.4 36
2001-04-16 @ Viborg W 2-1 1605 1641 26.63% 28.83% 44.54% +9.4 43
2001-04-16 Odense D 1-1 1617 1575 45.31% 28.72% 25.97% -0.9 32
2001-04-16 @ Aalborg D 1-1 1575 1617 25.97% 28.72% 45.31% +0.9 31
2001-04-22 AB Copenhagen D 0-0 1673 1601 49.14% 28.00% 22.86% -1.4 43
2001-04-22 @ FC Copenhagen D 0-0 1601 1673 22.86% 28.00% 49.14% +1.4 26
2001-04-22 Brondby D 2-2 1617 1703 27.85% 29.01% 43.14% +0.5 33
2001-04-22 @ Aalborg D 2-2 1703 1617 43.14% 29.01% 27.85% -0.5 44
2001-04-22 Herfolge W 2-0 1614 1520 51.79% 27.36% 20.85% +10.4 46
2001-04-22 @ Midtjylland L 0-2 1520 1614 20.85% 27.36% 51.79% -10.4 23
2001-04-22 Silkeborg L 0-2 1556 1665 25.23% 28.57% 46.19% -12.3 38
2001-04-22 @ Lyngby W 2-0 1665 1556 46.19% 28.57% 25.23% +12.3 46
2001-04-22 Sonderjyske W 3-1 1576 1393 61.91% 23.75% 14.35% +6.2 34
2001-04-22 @ Odense L 1-3 1393 1576 14.35% 23.75% 61.91% -6.2 8
2001-04-22 Viborg L 3-4 1540 1632 27.16% 28.91% 43.93% -6.0 28
2001-04-22 @ Aarhus GF W 4-3 1632 1540 43.93% 28.91% 27.16% +6.0 39
2001-04-29 Aalborg D 1-1 1386 1617 15.09% 24.31% 60.60% +2.2 9
2001-04-29 @ Sonderjyske D 1-1 1617 1386 60.60% 24.31% 15.09% -2.2 34
2001-04-29 Aarhus GF L 1-2 1510 1534 36.12% 29.46% 34.42% -8.0 23
2001-04-29 @ Herfolge W 2-1 1534 1510 34.42% 29.46% 36.12% +8.0 31
2001-04-29 Lyngby W 3-0 1638 1544 51.88% 27.33% 20.79% +15.1 42
2001-04-29 @ Viborg L 0-3 1544 1638 20.79% 27.33% 51.88% -15.1 38
2001-04-29 Midtjylland D 1-1 1702 1624 49.84% 27.85% 22.32% -1.3 45
2001-04-29 @ Brondby D 1-1 1624 1702 22.32% 27.85% 49.84% +1.3 47
2001-04-29 Odense D 0-0 1602 1582 42.30% 29.10% 28.60% -0.7 27
2001-04-29 @ AB Copenhagen D 0-0 1582 1602 28.60% 29.10% 42.30% +0.7 35
2001-04-30 FC Copenhagen D 1-1 1677 1672 40.31% 29.28% 30.41% -0.4 47
2001-04-30 @ Silkeborg D 1-1 1672 1677 30.41% 29.28% 40.31% +0.4 44
2001-05-06 AB Copenhagen W 4-1 1615 1601 41.38% 29.19% 29.43% +16.9 37
2001-05-06 @ Aalborg L 1-4 1601 1615 29.43% 29.19% 41.38% -17.0 27
2001-05-06 Brondby L 0-4 1389 1701 10.85% 20.37% 68.78% -9.9 9
2001-05-06 @ Sonderjyske W 4-0 1701 1389 68.78% 20.37% 10.85% +9.9 48
2001-05-06 Silkeborg W 1-0 1583 1677 26.91% 28.87% 44.21% +9.9 38
2001-05-06 @ Odense L 0-1 1677 1583 44.21% 28.87% 26.91% -9.9 47
2001-05-06 Viborg W 1-0 1672 1653 42.14% 29.12% 28.74% +7.2 47
2001-05-06 @ FC Copenhagen L 0-1 1653 1672 28.74% 29.12% 42.14% -7.2 42
2001-05-07 Midtjylland W 2-0 1542 1626 28.14% 29.05% 42.82% +18.2 34
2001-05-07 @ Aarhus GF L 0-2 1626 1542 42.82% 29.05% 28.14% -18.2 47
2001-05-09 Herfolge D 1-1 1529 1502 43.19% 29.01% 27.81% -0.7 39
2001-05-09 @ Lyngby D 1-1 1502 1529 27.81% 29.01% 43.19% +0.7 24
2001-05-13 Aarhus GF W 2-1 1711 1560 58.38% 25.21% 16.41% +4.1 51
2001-05-13 @ Brondby L 1-2 1560 1711 16.41% 25.21% 58.38% -4.1 34
2001-05-13 FC Copenhagen L 3-4 1503 1679 18.90% 26.55% 54.55% -4.4 24
2001-05-13 @ Herfolge W 4-3 1679 1503 54.55% 26.55% 18.90% +4.4 50
2001-05-13 Lyngby D 0-0 1608 1528 50.07% 27.79% 22.14% -1.5 48
2001-05-13 @ Midtjylland D 0-0 1528 1608 22.14% 27.79% 50.07% +1.5 40
2001-05-13 Odense D 1-1 1646 1593 46.71% 28.48% 24.80% -1.0 43
2001-05-13 @ Viborg D 1-1 1593 1646 24.80% 28.48% 46.71% +1.0 39
2001-05-13 Sonderjyske D 1-1 1584 1379 64.22% 22.68% 13.10% -2.5 28
2001-05-13 @ AB Copenhagen D 1-1 1379 1584 13.10% 22.68% 64.22% +2.6 10
2001-05-14 Aalborg W 3-0 1667 1632 44.32% 28.86% 26.82% +18.7 50
2001-05-14 @ Silkeborg L 0-3 1632 1667 26.82% 28.86% 44.32% -18.7 37
2001-05-17 Aarhus GF L 0-1 1529 1556 35.72% 29.46% 34.81% -8.5 40
2001-05-17 @ Lyngby W 1-0 1556 1529 34.81% 29.46% 35.72% +8.5 37
2001-05-17 Brondby D 1-1 1582 1715 22.77% 27.98% 49.26% +1.2 29
2001-05-17 @ AB Copenhagen D 1-1 1715 1582 49.26% 27.98% 22.77% -1.2 52
2001-05-17 Herfolge W 4-2 1594 1498 52.00% 27.30% 20.70% +8.0 42
2001-05-17 @ Odense L 2-4 1498 1594 20.70% 27.30% 52.00% -8.0 24
2001-05-17 Midtjylland W 3-0 1684 1606 49.81% 27.85% 22.34% +16.1 53
2001-05-17 @ FC Copenhagen L 0-3 1606 1684 22.34% 27.85% 49.81% -16.1 48
2001-05-17 Silkeborg L 0-1 1381 1686 11.20% 20.77% 68.03% -2.9 10
2001-05-17 @ Sonderjyske W 1-0 1686 1381 68.03% 20.77% 11.20% +2.9 53
2001-05-17 Viborg W 2-1 1613 1645 35.00% 29.46% 35.54% +7.9 40
2001-05-17 @ Aalborg L 1-2 1645 1613 35.54% 29.46% 35.00% -7.9 43
2001-05-20 Aalborg L 1-2 1490 1621 22.98% 28.04% 48.98% -5.7 24
2001-05-20 @ Herfolge W 2-1 1621 1490 48.98% 28.04% 22.98% +5.7 43
2001-05-20 AB Copenhagen L 1-2 1688 1583 53.19% 26.97% 19.84% -10.8 53
2001-05-20 @ Silkeborg W 2-1 1583 1688 19.84% 26.97% 53.19% +10.8 32
2001-05-20 FC Copenhagen L 0-3 1565 1700 22.55% 27.92% 49.53% -16.2 37
2001-05-20 @ Aarhus GF W 3-0 1700 1565 49.53% 27.92% 22.55% +16.2 56
2001-05-20 Odense D 1-1 1590 1602 37.87% 29.42% 32.71% -0.2 49
2001-05-20 @ Midtjylland D 1-1 1602 1590 32.71% 29.42% 37.87% +0.2 43
2001-05-20 Sonderjyske W 3-1 1637 1378 69.34% 20.07% 10.59% +4.4 46
2001-05-20 @ Viborg L 1-3 1378 1637 10.59% 20.07% 69.34% -4.4 10
2001-05-21 Lyngby L 1-2 1714 1521 62.89% 23.30% 13.80% -12.4 52
2001-05-21 @ Brondby W 2-1 1521 1714 13.80% 23.30% 62.89% +12.4 43
2001-05-27 Aarhus GF L 0-4 1602 1548 46.75% 28.48% 24.77% -37.0 43
2001-05-27 @ Odense W 4-0 1548 1602 24.77% 28.48% 46.75% +37.0 40
2001-05-27 Brondby L 0-1 1678 1701 36.17% 29.46% 34.37% -8.5 53
2001-05-27 @ Silkeborg W 1-0 1701 1678 34.37% 29.46% 36.17% +8.5 55
2001-05-27 Herfolge L 1-2 1374 1485 25.08% 28.54% 46.38% -6.1 10
2001-05-27 @ Sonderjyske W 2-1 1485 1374 46.38% 28.54% 25.08% +6.1 27
2001-05-27 Lyngby D 1-1 1716 1533 61.84% 23.78% 14.39% -2.4 57
2001-05-27 @ FC Copenhagen D 1-1 1533 1716 14.39% 23.78% 61.84% +2.4 44
2001-05-27 Midtjylland W 2-1 1627 1590 44.57% 28.83% 26.61% +6.4 46
2001-05-27 @ Aalborg L 1-2 1590 1627 26.61% 28.83% 44.57% -6.4 49
2001-05-27 Viborg W 2-0 1594 1641 32.83% 29.42% 37.75% +16.6 35
2001-05-27 @ AB Copenhagen L 0-2 1641 1594 37.75% 29.42% 32.83% -16.6 46
2001-06-10 Aalborg W 4-0 1585 1633 32.77% 29.42% 37.81% +31.5 43
2001-06-10 @ Aarhus GF L 0-4 1633 1585 37.81% 29.42% 32.77% -31.5 46
2001-06-10 AB Copenhagen L 0-3 1491 1611 24.08% 28.32% 47.60% -17.1 27
2001-06-10 @ Herfolge W 3-0 1611 1491 47.60% 28.32% 24.08% +17.1 38
2001-06-10 Brondby W 3-1 1713 1710 40.04% 29.30% 30.66% +12.4 60
2001-06-10 @ FC Copenhagen L 1-3 1710 1713 30.66% 29.30% 40.04% -12.4 55
2001-06-10 Odense L 1-3 1536 1565 35.37% 29.46% 35.17% -13.7 44
2001-06-10 @ Lyngby W 3-1 1565 1536 35.17% 29.46% 35.37% +13.7 46
2001-06-10 Silkeborg L 2-4 1625 1669 33.22% 29.43% 37.34% -11.7 46
2001-06-10 @ Viborg W 4-2 1669 1625 37.34% 29.43% 33.22% +11.7 56
2001-06-10 Sonderjyske W 6-0 1583 1368 65.19% 22.21% 12.60% +17.2 52
2001-06-10 @ Midtjylland L 0-6 1368 1583 12.60% 22.21% 65.19% -17.2 10
2001-06-13 Aarhus GF D 2-2 1351 1617 13.07% 22.65% 64.28% +1.9 11
2001-06-13 @ Sonderjyske D 2-2 1617 1351 64.28% 22.65% 13.07% -1.9 44
2001-06-13 FC Copenhagen L 0-1 1579 1726 21.40% 27.55% 51.05% -5.6 46
2001-06-13 @ Odense W 1-0 1726 1579 51.05% 27.55% 21.40% +5.7 63
2001-06-13 Herfolge L 1-2 1681 1474 64.38% 22.61% 13.01% -12.6 56
2001-06-13 @ Silkeborg W 2-1 1474 1681 13.01% 22.61% 64.38% +12.6 30
2001-06-13 Lyngby W 2-0 1602 1522 50.07% 27.79% 22.14% +11.0 49
2001-06-13 @ Aalborg L 0-2 1522 1602 22.14% 27.79% 50.07% -11.0 44
2001-06-13 Midtjylland D 1-1 1628 1601 43.26% 29.00% 27.74% -0.7 39
2001-06-13 @ AB Copenhagen D 1-1 1601 1628 27.74% 29.00% 43.26% +0.7 53
2001-06-13 Viborg W 2-1 1697 1613 50.67% 27.65% 21.68% +5.4 58
2001-06-13 @ Brondby L 1-2 1613 1697 21.68% 27.65% 50.67% -5.4 46

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 2001-06-13 13.01% Herfolge 1474 2 @ Silkeborg 1681 1
2 2001-05-21 13.80% Lyngby 1521 2 @ Brondby 1714 1
3 2000-10-29 16.52% @ Aarhus GF 1509 2 Brondby 1718 0
4 2000-11-19 16.83% @ Sonderjyske 1422 4 Odense 1626 2
5 2000-11-27 17.58% @ Herfolge 1514 3 Brondby 1708 2
6 2001-05-20 19.84% AB Copenhagen 1583 2 @ Silkeborg 1688 1
7 2000-10-15 20.01% @ Lyngby 1579 3 Brondby 1742 0
8 2001-03-11 20.50% Odense 1600 2 @ Brondby 1697 1
9 2000-08-28 21.45% Lyngby 1563 1 @ AB Copenhagen 1650 0
10 2000-09-10 21.76% Herfolge 1546 3 @ AB Copenhagen 1630 1
11 2000-07-22 22.17% Aarhus GF 1561 2 @ Brondby 1640 1
12 2000-11-05 22.19% Aarhus GF 1532 4 @ Midtjylland 1611 1
13 2000-10-22 23.86% @ Aarhus GF 1488 5 Lyngby 1610 2
14 2001-05-27 24.77% Aarhus GF 1548 4 @ Odense 1602 0
15 2000-08-06 25.48% Lyngby 1560 2 @ FC Copenhagen 1607 1
16 2000-08-27 25.66% Midtjylland 1557 2 @ Odense 1603 1
17 2000-08-27 26.16% @ FC Copenhagen 1589 2 Brondby 1690 1
18 2001-04-01 26.33% FC Copenhagen 1661 2 @ Brondby 1701 1
19 2000-10-22 26.48% Aalborg 1596 2 @ Viborg 1634 1
20 2001-04-16 26.63% Midtjylland 1605 2 @ Viborg 1641 1
21 2001-05-06 26.91% @ Odense 1583 1 Silkeborg 1677 0
22 2001-04-08 27.70% @ Aarhus GF 1516 4 Odense 1603 1
23 2001-05-07 28.14% @ Aarhus GF 1542 2 Midtjylland 1626 0
24 2000-11-06 28.67% Odense 1610 1 @ Silkeborg 1629 0
25 2000-08-07 28.74% Silkeborg 1621 2 @ Aalborg 1640 1

Biggest Elo Changes

The 25 games that resulted in the largest shift in Elo rating.

# Date Elo Δ Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2000-08-13 39.48 Brondby 7 1628 30.92% @ Silkeborg 1 1630 39.76% 29.32%
2 2001-05-27 37.03 Aarhus GF 4 1548 24.77% @ Odense 0 1602 46.75% 28.48%
3 2001-06-10 31.51 @ Aarhus GF 4 1585 32.77% Aalborg 0 1633 37.81% 29.42%
4 2000-10-15 31.33 @ Lyngby 3 1579 20.01% Brondby 0 1742 52.95% 27.03%
5 2000-07-23 29.86 @ Midtjylland 4 1547 35.46% Lyngby 0 1576 35.08% 29.46%
6 2000-08-06 28.58 @ Odense 4 1566 37.58% Aarhus GF 0 1580 32.99% 29.43%
7 2001-04-16 28.43 @ AB Copenhagen 4 1572 37.82% Lyngby 0 1584 32.76% 29.42%
8 2000-11-05 25.22 Aarhus GF 4 1532 22.19% @ Midtjylland 1 1611 50.00% 27.81%
9 2000-09-18 24.69 Brondby 4 1704 43.90% @ AB Copenhagen 0 1612 27.18% 28.92%
10 2000-08-04 24.67 Viborg 5 1606 35.88% @ Herfolge 1 1572 34.66% 29.46%
11 2000-10-29 23.28 @ Aarhus GF 2 1509 16.52% Brondby 0 1718 58.20% 25.28%
12 2000-08-19 22.58 @ Brondby 5 1667 54.07% Herfolge 0 1555 19.23% 26.70%
13 2001-04-08 22.51 @ Aarhus GF 4 1516 27.70% Odense 1 1603 43.31% 28.99%
14 2000-08-13 22.29 @ Aarhus GF 3 1551 36.70% Midtjylland 0 1571 33.85% 29.45%
15 2000-10-22 21.09 @ Aarhus GF 5 1488 23.86% Lyngby 2 1610 47.87% 28.27%
16 2000-10-01 20.76 @ Silkeborg 3 1603 39.99% Lyngby 0 1599 30.71% 29.30%
17 2000-08-06 19.58 @ AB Copenhagen 4 1617 52.05% Sonderjyske 0 1522 20.66% 27.29%
18 2000-09-06 19.55 Lyngby 4 1574 34.76% @ Aarhus GF 1 1547 35.78% 29.46%
19 2000-07-23 19.39 @ FC Copenhagen 5 1596 46.18% Sonderjyske 1 1547 25.24% 28.58%
20 2001-05-14 18.70 @ Silkeborg 3 1667 44.32% Aalborg 0 1632 26.82% 28.86%
21 2000-10-15 18.34 Viborg 4 1615 54.04% @ Sonderjyske 0 1443 19.25% 26.71%
22 2001-05-07 18.23 @ Aarhus GF 2 1542 28.14% Midtjylland 0 1626 42.82% 29.05%
23 2000-09-10 18.00 Herfolge 3 1546 21.76% @ AB Copenhagen 1 1630 50.57% 27.67%
24 2000-11-19 17.90 @ Sonderjyske 4 1422 16.83% Odense 2 1626 57.71% 25.46%
25 2001-04-01 17.72 @ Aalborg 5 1608 49.37% Aarhus GF 1 1534 22.68% 27.95%