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2003-04 Superliga Season

198 games

Final

Champion

FC Copenhagen

68 points · 4th Title

Last Title: 2002-03

Relegated

AB Copenhagen

17 pts

BK Frem Kobenhavn · 27 pts

Biggest Overachiever

Aalborg

10.82 points above expected

57 points · 46.18 expected points

Biggest Disappointment

BK Frem Kobenhavn

9.99 points below expected

27 points · 36.99 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 20 8 5 68 56 27 +29 61.99 +6.01
2 Brondby 33 20 7 6 67 55 29 +26 63.40 +3.60
3 Esbjerg 33 18 8 7 62 71 44 +27 52.91 +9.09
4 Odense 33 16 9 8 57 66 46 +20 52.44 +4.56
5 Aalborg 33 16 9 8 57 55 41 +14 46.18 +10.82
6 Midtjylland 33 14 6 13 48 65 51 +14 50.78 -2.78
7 Viborg 33 11 9 13 42 47 44 +3 45.68 -3.68
8 Aarhus GF 33 11 3 19 36 45 67 -22 37.00 -1.00
9 Nordsjaelland 33 7 11 15 32 35 59 -24 36.78 -4.78
10 Herfolge 33 8 7 18 31 34 57 -23 35.41 -4.41
11 BK Frem Kobenhavn Relegated 33 8 3 22 27 40 65 -25 36.99 -9.99
12 AB Copenhagen* Relegated 33 8 2 23 17 31 70 -39 24.02 -7.02

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.

* Point deductions: AB Copenhagen (-9 pts)

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 1796 68 61.99 +6.01 80.5% 29 50 57 62 67 74 90
Brondby 1772 67 63.40 +3.60 71.2% 31 51 59 64 68 75 88
Esbjerg 1699 62 52.91 +9.09 90.3% 20 41 48 53 58 65 78
Odense 1685 57 52.44 +4.56 75.3% 27 40 47 52 57 64 80
Aalborg 1680 57 46.18 +10.82 93.5% 19 34 41 46 51 58 73
Midtjylland 1674 48 50.78 -2.78 38.7% 21 39 46 51 56 63 79
Viborg 1621 42 45.68 -3.68 33.9% 19 34 41 46 51 58 78
Aarhus GF 1525 36 37.00 -1.00 47.8% 13 25 32 37 42 49 65
Nordsjaelland 1517 32 36.78 -4.78 28.1% 12 25 32 37 42 49 66
BK Frem Kobenhavn 1515 27 36.99 -9.99 9.5% 10 25 32 37 42 49 65
Herfolge 1506 31 35.41 -4.41 29.5% 13 24 31 35 40 47 61
AB Copenhagen 1489 17 24.02 -7.02 18.3% 1 13 19 24 29 36 54

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 BFK BRO ESB FC HER MID NOR ODE VIB
AB Copenhagen —
0-0-3
3.55
1-0-2
3.69
3-0-0
3.43
0-0-3
2.10
0-0-3
2.88
0-0-3
2.00
2-0-1
3.60
0-1-2
2.68
1-1-1
3.61
0-0-3
2.36
1-0-2
3.19
Aalborg
3-0-0
4.82
 —
3-0-0
5.07
1-1-1
5.18
0-2-1
2.46
0-1-2
3.43
0-1-2
3.08
1-1-1
5.40
3-0-0
3.78
1-2-0
5.27
1-1-1
3.52
3-0-0
4.00
Aarhus GF
2-0-1
4.66
0-0-3
3.29
 —
3-0-0
3.98
0-0-3
2.00
1-1-1
2.52
0-1-2
2.18
1-0-2
4.50
2-0-1
3.04
1-1-1
4.28
1-0-2
3.00
0-0-3
3.38
BK Frem Kobenhavn
0-0-3
4.92
1-1-1
3.18
0-0-3
4.36
 —
0-0-3
2.27
0-0-3
2.96
0-0-3
1.99
3-0-0
4.39
1-1-1
2.64
2-0-1
3.93
0-0-3
2.83
1-1-1
3.52
Brondby
3-0-0
6.34
1-2-0
5.94
3-0-0
6.43
3-0-0
6.15
 —
1-1-1
5.15
0-1-2
4.67
3-0-0
6.46
2-0-1
5.49
2-1-0
6.10
1-1-1
5.12
1-1-1
5.62
Esbjerg
3-0-0
5.52
2-1-0
4.92
1-1-1
5.88
3-0-0
5.42
1-1-1
3.22
 —
1-1-1
3.46
2-0-1
6.03
2-0-1
4.28
1-1-1
5.49
0-2-1
4.30
2-1-0
4.43
FC Copenhagen
3-0-0
6.44
2-1-0
5.28
2-1-0
6.23
3-0-0
6.45
2-1-0
3.68
1-1-1
4.89
 —
1-2-0
6.36
1-0-2
5.57
3-0-0
6.39
1-1-1
5.17
1-1-1
5.41
Herfolge
1-0-2
4.75
1-1-1
2.97
2-0-1
3.85
0-0-3
3.96
0-0-3
1.97
1-0-2
2.37
0-2-1
2.07
 —
1-0-2
2.92
1-2-0
4.31
0-2-1
2.85
1-0-2
3.42
Midtjylland
2-1-0
5.70
0-0-3
4.57
1-0-2
5.32
1-1-1
5.74
1-0-2
2.88
1-0-2
4.06
2-0-1
2.80
2-0-1
5.45
 —
2-1-0
5.58
2-0-1
4.10
0-3-0
4.69
Nordsjaelland
1-1-1
4.74
0-2-1
3.09
1-1-1
4.07
1-0-2
4.41
0-1-2
2.31
1-1-1
2.89
0-0-3
2.04
0-2-1
4.04
0-1-2
2.80
 —
2-1-0
2.87
1-1-1
3.53
Odense
3-0-0
6.05
1-1-1
4.83
2-0-1
5.37
3-0-0
5.54
1-1-1
3.24
1-2-0
4.04
1-1-1
3.19
1-2-0
5.53
1-0-2
4.25
0-1-2
5.50
 —
2-1-0
4.97
Viborg
2-0-1
5.18
0-0-3
4.35
3-0-0
4.97
1-1-1
4.84
1-1-1
2.76
0-1-2
3.93
1-1-1
2.96
2-0-1
4.94
0-3-0
3.66
1-1-1
4.82
0-1-2
3.39
 —

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 0.69 +10.5
Allowed 0.85 -11.1
Differential 0.95 +6.7

Scoreline Distribution

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

↓ Scored | Allowed →012345+Total
04.55%7.83%8.08%2.27%2.27%0.51%25.51%
17.83%8.59%6.82%4.80%1.52%0.76%30.30%
28.08%6.82%4.55%1.77%1.77%0.76%23.74%
32.27%4.80%1.77%3.03%—0.51%12.37%
42.27%1.52%1.77%———5.56%
5+0.51%0.76%0.76%0.51%——2.53%
Total25.51%30.30%23.74%12.37%5.56%2.53%100%

Summary Statistics

Scored Allowed Difference
Mean 1.52 1.52 +0.00
SD 1.34 1.34 1.97
CV 0.89 0.89 —
Max 7 7 +6
Min 0 0 -6

Games Played: 198

↓ Scored | Allowed →012345+Total
0—12.12%9.09%15.15%—3.03%39.39%
16.06%3.03%9.09%12.12%3.03%—33.33%
26.06%9.09%——3.03%3.03%21.21%
3—3.03%—3.03%——6.06%
4———————
5+———————
Total12.12%27.27%18.18%30.30%6.06%6.06%100%

Summary Statistics

Scored Allowed Difference
Mean 0.94 2.12 -1.18
SD 0.93 1.45 1.84
CV 0.99 0.68 —
Max 3 6 +2
Min 0 0 -6

Games Played: 33

↓ Scored | Allowed →012345+Total
09.09%6.06%6.06%—3.03%—24.24%
115.15%12.12%—3.03%——30.30%
26.06%3.03%—3.03%3.03%—15.15%
33.03%9.09%6.06%6.06%——24.24%
4—3.03%————3.03%
5+——3.03%———3.03%
Total33.33%33.33%15.15%12.12%6.06%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.67 1.24 +0.42
SD 1.53 1.23 1.77
CV 0.92 0.99 —
Max 7 4 +5
Min 0 0 -4

Games Played: 33

↓ Scored | Allowed →012345+Total
0—9.09%15.15%—6.06%3.03%33.33%
16.06%3.03%9.09%6.06%3.03%—27.27%
23.03%9.09%3.03%—3.03%3.03%21.21%
3—6.06%—3.03%——9.09%
4—6.06%————6.06%
5+———3.03%——3.03%
Total9.09%33.33%27.27%12.12%12.12%6.06%100%

Summary Statistics

Scored Allowed Difference
Mean 1.36 2.03 -0.67
SD 1.37 1.38 2.07
CV 1.00 0.68 —
Max 5 5 +3
Min 0 0 -5

Games Played: 33

↓ Scored | Allowed →012345+Total
06.06%9.09%12.12%—3.03%—30.30%
19.09%—18.18%9.09%6.06%—42.42%
2—3.03%—6.06%——9.09%
3—6.06%3.03%3.03%—3.03%15.15%
4———————
5+—3.03%————3.03%
Total15.15%21.21%33.33%18.18%9.09%3.03%100%

Summary Statistics

Scored Allowed Difference
Mean 1.21 1.97 -0.76
SD 1.22 1.38 1.70
CV 1.01 0.70 —
Max 5 6 +4
Min 0 0 -4

Games Played: 33

↓ Scored | Allowed →012345+Total
06.06%9.09%————15.15%
112.12%9.09%—3.03%—3.03%27.27%
215.15%12.12%6.06%3.03%——36.36%
39.09%9.09%————18.18%
43.03%—————3.03%
5+———————
Total45.45%39.39%6.06%6.06%—3.03%100%

Summary Statistics

Scored Allowed Difference
Mean 1.67 0.88 +0.79
SD 1.05 1.24 1.73
CV 0.63 1.42 —
Max 4 6 +4
Min 0 0 -5

Games Played: 33

↓ Scored | Allowed →012345+Total
03.03%—9.09%3.03%——15.15%
13.03%12.12%3.03%3.03%3.03%—24.24%
221.21%3.03%3.03%———27.27%
3—3.03%3.03%6.06%——12.12%
46.06%—6.06%———12.12%
5+—3.03%3.03%3.03%——9.09%
Total33.33%21.21%27.27%15.15%3.03%—100%

Summary Statistics

Scored Allowed Difference
Mean 2.15 1.33 +0.82
SD 1.66 1.19 2.02
CV 0.77 0.89 —
Max 6 4 +5
Min 0 0 -3

Games Played: 33

↓ Scored | Allowed →012345+Total
03.03%9.09%————12.12%
115.15%12.12%3.03%———30.30%
221.21%9.09%9.09%—3.03%—42.42%
3—3.03%3.03%———6.06%
46.06%—3.03%———9.09%
5+———————
Total45.45%33.33%18.18%—3.03%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.70 0.82 +0.88
SD 1.07 0.95 1.36
CV 0.63 1.16 —
Max 4 4 +4
Min 0 0 -2

Games Played: 33

↓ Scored | Allowed →012345+Total
03.03%18.18%15.15%3.03%3.03%—42.42%
13.03%9.09%3.03%3.03%3.03%—21.21%
26.06%9.09%6.06%3.03%—3.03%27.27%
3—6.06%—3.03%——9.09%
4———————
5+———————
Total12.12%42.42%24.24%12.12%6.06%3.03%100%

Summary Statistics

Scored Allowed Difference
Mean 1.03 1.73 -0.70
SD 1.05 1.42 1.72
CV 1.01 0.82 —
Max 3 7 +2
Min 0 0 -5

Games Played: 33

↓ Scored | Allowed →012345+Total
03.03%3.03%12.12%—3.03%—21.21%
16.06%9.09%12.12%3.03%——30.30%
2—9.09%—3.03%——12.12%
36.06%6.06%—6.06%—3.03%21.21%
4—6.06%————6.06%
5+3.03%3.03%3.03%———9.09%
Total18.18%36.36%27.27%12.12%3.03%3.03%100%

Summary Statistics

Scored Allowed Difference
Mean 1.97 1.55 +0.42
SD 1.79 1.20 2.31
CV 0.91 0.78 —
Max 7 5 +6
Min 0 0 -4

Games Played: 33

↓ Scored | Allowed →012345+Total
09.09%6.06%3.03%3.03%6.06%—27.27%
13.03%18.18%12.12%6.06%—6.06%45.45%
26.06%9.09%3.03%—3.03%—21.21%
33.03%——3.03%——6.06%
4———————
5+———————
Total21.21%33.33%18.18%12.12%9.09%6.06%100%

Summary Statistics

Scored Allowed Difference
Mean 1.06 1.79 -0.73
SD 0.86 1.65 1.92
CV 0.81 0.92 —
Max 3 7 +3
Min 0 0 -6

Games Played: 33

↓ Scored | Allowed →012345+Total
03.03%6.06%3.03%3.03%3.03%—18.18%
16.06%6.06%3.03%6.06%——21.21%
26.06%6.06%15.15%———27.27%
33.03%6.06%—3.03%——12.12%
46.06%—12.12%———18.18%
5+3.03%—————3.03%
Total27.27%24.24%33.33%12.12%3.03%—100%

Summary Statistics

Scored Allowed Difference
Mean 2.00 1.39 +0.61
SD 1.46 1.12 2.01
CV 0.73 0.80 —
Max 5 4 +5
Min 0 0 -4

Games Played: 33

↓ Scored | Allowed →012345+Total
09.09%6.06%12.12%———27.27%
19.09%9.09%9.09%3.03%——30.30%
26.06%—9.09%3.03%6.06%—24.24%
33.03%—6.06%———9.09%
46.06%3.03%————9.09%
5+———————
Total33.33%18.18%36.36%6.06%6.06%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.42 1.33 +0.09
SD 1.25 1.19 1.74
CV 0.88 0.89 —
Max 4 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 Aalborg 57 46.18 +10.82
2 Esbjerg 62 52.91 +9.09
3 FC Copenhagen 68 61.99 +6.01
4 Odense 57 52.44 +4.56
5 Brondby 67 63.40 +3.60

Biggest Disappointments

# Team Actual Sim vsSim
1 BK Frem Kobenhavn 27 36.99 -9.99
2 AB Copenhagen 17 24.02 -7.02
3 Nordsjaelland 32 36.78 -4.78
4 Herfolge 31 35.41 -4.41
5 Viborg 42 45.68 -3.68

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 Esbjerg 6 Oct 19 – Nov 9 1 in 142
2 Aalborg 4 Sep 21 – Oct 19 1 in 47
3 Odense 4 Mar 14 – Apr 4 1 in 22
4 Brondby 6 Oct 5 – Nov 1 1 in 21
5 BK Frem Kobenhavn 3 Aug 10 – Aug 24 1 in 20

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 AB Copenhagen 11 Sep 14 – Nov 9 1 in 1,384
2 BK Frem Kobenhavn 6 Aug 31 – Oct 5 1 in 170
3 Esbjerg 4 May 9 – May 23 1 in 156
4 Midtjylland 4 Oct 26 – Nov 8 1 in 58
5 Viborg 4 Sep 28 – Oct 22 1 in 37

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Aalborg 8 Sep 14 – Oct 26 1 in 91
2 Esbjerg 10 Nov 29 – May 2 1 in 39
3 Nordsjaelland 4 Oct 29 – Nov 23 1 in 18
4 Viborg 5 Mar 28 – Apr 24 1 in 16
5 Aarhus GF 4 Oct 29 – Nov 23 1 in 15

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Midtjylland 9 Oct 26 – Mar 21 1 in 160
2 AB Copenhagen 11 Sep 14 – Nov 9 1 in 32
3 Brondby 4 Dec 7 – Mar 28 1 in 22
4 BK Frem Kobenhavn 9 Oct 22 – Mar 13 1 in 22
5 Viborg 5 May 2 – May 23 1 in 22

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 Copenhagen37.66%30.55%15.56%8.29%4.46%2.10%0.92%0.28%0.12%0.04%0.01%0.01%
Brondby45.60%29.01%13.62%6.18%3.13%1.61%0.51%0.22%0.09%0.02%0.01%—
Esbjerg6.16%13.17%20.47%19.70%15.72%11.08%6.80%3.73%1.90%0.87%0.34%0.06%
Odense5.23%11.84%18.53%20.39%16.44%12.01%7.24%4.62%2.24%1.06%0.38%0.02%
Aalborg1.02%3.03%7.30%11.75%16.34%16.85%16.26%12.08%7.99%4.57%2.34%0.47%
Midtjylland3.35%8.99%15.40%17.75%17.32%14.79%10.40%6.30%3.40%1.48%0.73%0.09%
Viborg0.81%2.71%6.35%10.27%14.46%17.91%17.31%13.00%8.66%5.34%2.68%0.50%
Aarhus GF0.06%0.19%0.80%1.63%3.23%6.48%10.81%14.87%18.54%19.40%17.88%6.11%
Nordsjaelland0.06%0.26%0.77%1.46%3.28%5.73%10.12%15.12%18.22%19.75%18.88%6.35%
Herfolge0.02%0.05%0.46%0.90%2.14%4.49%8.61%13.65%17.58%21.10%22.83%8.17%
BK Frem Kobenhavn0.03%0.20%0.74%1.65%3.45%6.60%10.38%14.67%18.46%19.41%18.38%6.03%
AB Copenhagen———0.03%0.03%0.35%0.64%1.46%2.80%6.96%15.54%72.19%

Points Required Per Position

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

Points Totals in Context

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

Season Trends

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

Edges & Scoring

How these are measured

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

Home Edge
Share of matches won by the home team minus the share won by the away team.
No Edge: under 5% * Slight Edge: 5% to 15% * Clear Edge: 15% to 25% * Strong Edge: 25% and up.
Elo Value
Number of Elo rating points one goal is worth. A team this many Elo points better than another is expected to win by one goal on a neutral field.
Scoring Tilt
Average home goals minus average away goals per match. The gold line is the home goals edge implied by the scoring value of an Elo point and the home-field Elo bonus.
Road-Tilted: under -0.2 * Neutral: -0.2 to 0.5 * Home-Tilted: 0.5 to 1.2 * Strong Home: 1.2 and up.
Home Edge
HomeDrawAway
+12.63%
Slight Edge
45.96%20.71%33.33%
Elo Value
Home Edge
160 Elo
0.006 goals per Elo point
044.10400
Scoring Tilt
Expected
+0.25 goals
Neutral
-2+0.28+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
2.8
Top-Heavy
124610
Champion Preseason Odds
38%
FC Copenhagen, 2nd of 12
LongshotFavorite
Title Margin
Expected
0.03/gm
Photo Finish
00.190.5/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 5.84 * Some Luck: 5.84 to 8.76 * Lucky: 8.76 to 11.67 * Wild Swing: 11.67 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 1.19 * Close: 1.19 to 1.79 * Off: 1.79 to 2.39 * Way Off: 2.39 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 0.81 * A Surprise: 0.81 to 1.3 * Several Surprises: 1.3 to 1.79 * Many Surprises: 1.79 and up.
Luck Spread
Expected
6.35 points
Some Luck
07.3018
Average Finish Error
Expected
0.67
Pinpoint
01.493
Biggest Overachiever
Expected 95.83%
93.53%
Aalborg
50100
Biggest Underachiever
Expected 4.17%
9.54%
BK Frem Kobenhavn
050
Season Outliers
Expected
0 of 12
Minimal Outliers
01.26
Unexpected Relegations
Expected
1 of 2
A Surprise
00.82

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
0.20
Top-Heavy
00.120.180.260.5
Noll-Scully
Coin-flip
1.97
Strong Separation
01.003
Interquartile Edge
73%
Clear Edge
50%60%70%80%100%
Best vs. Worst
Baseline
85%
Strong Edge
50%90%100%
Close Games
Expected
54%
Very Frequent
0%55%100%
Blowouts
Expected
17%
Frequent
0%21%100%

Predictability

How these are measured

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

Brier Score
How close the pregame probabilities landed to the actual result, averaged over the season. Confident, correct calls are rewarded most; confident misses are punished most. Lower is better; since draws are possible, a score under 0.66 beats guessing the base rate.
Highly Predictable: under 0.56 * Predictable: 0.56 to 0.62 * Hard to Predict: 0.62 to 0.66 * Coin-Flip: 0.66 and up.
Matchup Imbalance
How lopsided the matchups were on paper, averaging the gap between the two win probabilities over their sum. 0 means every match was a toss-up; 1 means every match was a heavy favorite against a big underdog.
Very Even: under 0.1 * Slight Separation: 0.1 to 0.18 * Notable Separation: 0.18 to 0.28 * Lopsided: 0.28 and up.
Strangeness
How wild the final table was versus what the model expected. A value of 1 means teams landed about one standard deviation from their projections on average. Above 1 is a stranger season; below 1 hugged the projections.
Very Predictable: under 0.8 * As Expected: 0.8 to 1.1 * Wilder Than Modeled: 1.1 to 1.4 * Chaotic: 1.4 and up.
Repeatability
How closely the final table order matched the preseason Elo order, by Spearman rank correlation. Higher means last season's ratings strongly predicted this season's finish. Shows N/A for an inaugural season.
Weak Carryover: under 0.3 * Some Carryover: 0.3 to 0.6 * Strong Carryover: 0.6 to 0.85 * Near-Lock: 0.85 and up.
Upset Rate
Share of matches the underdog won. The gold line is how often the model expected underdogs to win; a dot to the right means upsets ran hotter than expected.
Chalky: under 25% * As Expected: 25% to 33% * Upset-Prone: 33% to 42% * Very Upset-Prone: 42% and up.
Clear Favorite Upset Rate
Share of matches the underdog won, counting only games with a clear favorite (at least 60% likely to win once a draw is set aside). The gold line is how often the model expected these favorites to slip.
Solid Favorites: under 15% * As Expected: 15% to 25% * Shaky Favorites: 25% to 35% * Very Shaky: 35% and up.
Brier Score
Expected
0.58
Predictable
00.602
Matchup Imbalance
0.33
Lopsided
00.10.180.280.5
Strangeness
Expected
0.75
Very Predictable
01.002
Repeatability
0.65
Strong Carryover
00.30.60.851
Upset Rate
Expected
25%
As Expected
0%27%50%
Clear Favorite Upset Rate
Expected
22%
As Expected
0%23%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
0.85
Excellent
0.010.050.10.51
Calibration slope
Ideal
1.18
Underconfident
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.051
Well Within Noise
00.1190.3

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%
FC Copenhagen 99.98% 0.02%
Esbjerg 99.60% 0.40%
Odense 99.60% 0.40%
Midtjylland 99.18% 0.82%
Aalborg 97.19% 2.81%
Viborg 96.82% 3.18%
Aarhus GF 76.01% 23.99%
BK Frem Kobenhavn 75.59% 24.41%
Nordsjaelland 74.77% 25.23%
Herfolge 69.00% 31.00%
AB Copenhagen 12.27% 87.73%

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
2003-07-26 FC Copenhagen L 0-2 1610 1711 31.22% 21.73% 47.05% -11.1 0
2003-07-26 @ Aalborg W 2-0 1711 1610 47.05% 21.73% 31.22% +11.1 3
2003-07-27 Aarhus GF W 2-0 1605 1581 48.38% 21.64% 29.98% +10.7 3
2003-07-27 @ Esbjerg L 0-2 1581 1605 29.98% 21.64% 48.38% -10.7 0
2003-07-27 AB Copenhagen D 1-1 1580 1610 41.07% 21.95% 36.98% -0.1 1
2003-07-27 @ Nordsjaelland D 1-1 1610 1580 36.98% 21.95% 41.07% +0.2 1
2003-07-27 BK Frem Kobenhavn W 2-0 1629 1604 48.59% 21.63% 29.78% +10.6 3
2003-07-27 @ Odense L 0-2 1604 1629 29.78% 21.63% 48.59% -10.6 0
2003-07-27 Herfolge W 2-0 1732 1549 66.35% 18.64% 15.01% +5.6 3
2003-07-27 @ Brondby L 0-2 1549 1732 15.01% 18.64% 66.35% -5.6 0
2003-07-27 Viborg D 1-1 1656 1611 51.20% 21.41% 27.39% -0.9 1
2003-07-27 @ Midtjylland D 1-1 1611 1656 27.39% 21.41% 51.20% +0.9 1
2003-08-02 Odense L 2-4 1722 1640 55.79% 20.85% 23.35% -13.9 3
2003-08-02 @ FC Copenhagen W 4-2 1640 1722 23.35% 20.85% 55.79% +13.9 6
2003-08-03 Aalborg L 0-2 1610 1599 46.81% 21.75% 31.45% -15.4 1
2003-08-03 @ AB Copenhagen W 2-0 1599 1610 31.45% 21.75% 46.81% +15.4 3
2003-08-03 Brondby L 0-2 1593 1738 26.13% 21.26% 52.61% -9.5 0
2003-08-03 @ BK Frem Kobenhavn W 2-0 1738 1593 52.61% 21.26% 26.13% +9.5 6
2003-08-03 Esbjerg D 1-1 1612 1615 44.69% 21.85% 33.46% -0.4 2
2003-08-03 @ Viborg D 1-1 1615 1612 33.46% 21.85% 44.69% +0.4 4
2003-08-03 Midtjylland L 0-1 1543 1655 29.95% 21.64% 48.41% -5.7 0
2003-08-03 @ Herfolge W 1-0 1655 1543 48.41% 21.64% 29.95% +5.7 4
2003-08-03 Nordsjaelland D 2-2 1571 1580 43.90% 21.88% 34.22% -0.3 1
2003-08-03 @ Aarhus GF D 2-2 1580 1571 34.22% 21.88% 43.90% +0.3 2
2003-08-09 FC Copenhagen D 1-1 1616 1709 32.37% 21.80% 45.83% +0.5 5
2003-08-09 @ Esbjerg D 1-1 1709 1616 45.83% 21.80% 32.37% -0.5 4
2003-08-10 Aarhus GF W 2-0 1747 1570 65.75% 18.81% 15.44% +5.8 9
2003-08-10 @ Brondby L 0-2 1570 1747 15.44% 18.81% 65.75% -5.8 1
2003-08-10 AB Copenhagen W 3-0 1661 1595 53.76% 21.13% 25.12% +13.3 7
2003-08-10 @ Midtjylland L 0-3 1595 1661 25.12% 21.13% 53.76% -13.4 1
2003-08-10 BK Frem Kobenhavn L 0-1 1614 1584 49.28% 21.58% 29.15% -8.5 3
2003-08-10 @ Aalborg W 1-0 1584 1614 29.15% 21.58% 49.28% +8.5 3
2003-08-10 Odense W 2-0 1580 1653 34.98% 21.91% 43.11% +14.4 5
2003-08-10 @ Nordsjaelland L 0-2 1653 1580 43.11% 21.91% 34.98% -14.4 6
2003-08-10 Viborg W 2-1 1537 1611 34.88% 21.91% 43.21% +7.2 3
2003-08-10 @ Herfolge L 1-2 1611 1537 43.21% 21.91% 34.88% -7.2 2
2003-08-16 Midtjylland W 5-3 1565 1674 30.24% 21.66% 48.09% +11.5 4
2003-08-16 @ Aarhus GF L 3-5 1674 1565 48.09% 21.66% 30.24% -11.5 7
2003-08-17 Aalborg D 0-0 1639 1605 49.71% 21.54% 28.75% -0.9 7
2003-08-17 @ Odense D 0-0 1605 1639 28.75% 21.54% 49.71% +0.9 4
2003-08-17 Brondby D 2-2 1604 1753 25.63% 21.19% 53.18% +0.8 3
2003-08-17 @ Viborg D 2-2 1753 1604 53.18% 21.19% 25.63% -0.8 10
2003-08-17 Esbjerg L 2-4 1582 1616 40.34% 21.96% 37.70% -10.5 1
2003-08-17 @ AB Copenhagen W 4-2 1616 1582 37.70% 21.96% 40.34% +10.5 8
2003-08-17 Herfolge W 1-0 1592 1545 51.49% 21.38% 27.13% +5.2 6
2003-08-17 @ BK Frem Kobenhavn L 0-1 1545 1592 27.13% 21.38% 51.49% -5.2 3
2003-08-17 Nordsjaelland W 2-1 1708 1595 59.24% 20.29% 20.47% +3.8 7
2003-08-17 @ FC Copenhagen L 1-2 1595 1708 20.47% 20.29% 59.24% -3.8 5
2003-08-23 FC Copenhagen L 0-1 1752 1712 50.61% 21.46% 27.93% -8.7 10
2003-08-23 @ Brondby W 1-0 1712 1752 27.93% 21.46% 50.61% +8.7 10
2003-08-24 Aalborg W 3-2 1627 1606 48.00% 21.67% 30.33% +5.1 11
2003-08-24 @ Esbjerg L 2-3 1606 1627 30.33% 21.67% 48.00% -5.1 4
2003-08-24 Aarhus GF W 1-0 1605 1576 49.07% 21.59% 29.34% +5.6 6
2003-08-24 @ Viborg L 0-1 1576 1605 29.34% 21.59% 49.07% -5.6 4
2003-08-24 AB Copenhagen L 0-2 1539 1571 40.82% 21.96% 37.23% -13.7 3
2003-08-24 @ Herfolge W 2-0 1571 1539 37.23% 21.96% 40.82% +13.7 4
2003-08-24 BK Frem Kobenhavn L 1-3 1591 1597 44.34% 21.87% 33.79% -12.7 5
2003-08-24 @ Nordsjaelland W 3-1 1597 1591 33.79% 21.87% 44.34% +12.7 9
2003-08-24 Odense W 2-1 1663 1638 48.50% 21.64% 29.86% +5.3 10
2003-08-24 @ Midtjylland L 1-2 1638 1663 29.86% 21.64% 48.50% -5.3 7
2003-08-30 Herfolge L 0-2 1601 1526 54.92% 20.97% 24.10% -17.7 4
2003-08-30 @ Aalborg W 2-0 1526 1601 24.10% 20.97% 54.92% +17.6 6
2003-08-31 Aarhus GF W 4-0 1721 1570 63.12% 19.47% 17.41% +12.4 13
2003-08-31 @ FC Copenhagen L 0-4 1570 1721 17.41% 19.47% 63.12% -12.4 4
2003-08-31 AB Copenhagen L 1-2 1610 1585 48.64% 21.63% 29.74% -7.9 9
2003-08-31 @ BK Frem Kobenhavn W 2-1 1585 1610 29.74% 21.63% 48.64% +7.9 7
2003-08-31 Brondby L 0-1 1578 1744 23.92% 20.95% 55.13% -4.7 5
2003-08-31 @ Nordsjaelland W 1-0 1744 1578 55.13% 20.95% 23.92% +4.7 13
2003-08-31 Midtjylland W 2-0 1632 1668 40.21% 21.96% 37.83% +12.9 14
2003-08-31 @ Esbjerg L 0-2 1668 1632 37.83% 21.96% 40.21% -12.9 10
2003-08-31 Viborg W 4-2 1633 1610 48.25% 21.65% 30.10% +8.3 10
2003-08-31 @ Odense L 2-4 1610 1633 30.10% 21.65% 48.25% -8.3 6
2003-09-13 Midtjylland L 0-1 1733 1655 55.22% 20.93% 23.84% -9.4 13
2003-09-13 @ FC Copenhagen W 1-0 1655 1733 23.84% 20.93% 55.22% +9.4 13
2003-09-14 Brondby L 0-3 1593 1748 24.93% 21.10% 53.97% -13.3 7
2003-09-14 @ AB Copenhagen W 3-0 1748 1593 53.97% 21.10% 24.93% +13.3 16
2003-09-14 Esbjerg W 2-0 1641 1645 44.69% 21.85% 33.45% +11.7 13
2003-09-14 @ Odense L 0-2 1645 1641 33.45% 21.85% 44.69% -11.7 14
2003-09-14 Herfolge W 2-1 1558 1543 47.22% 21.72% 31.06% +5.5 7
2003-09-14 @ Aarhus GF L 1-2 1543 1558 31.06% 21.72% 47.22% -5.5 6
2003-09-14 Nordsjaelland W 1-0 1584 1574 46.58% 21.76% 31.66% +6.0 7
2003-09-14 @ Aalborg L 0-1 1574 1584 31.66% 21.76% 46.58% -5.9 5
2003-09-14 Viborg L 2-3 1602 1602 45.25% 21.83% 32.92% -7.1 9
2003-09-14 @ BK Frem Kobenhavn W 3-2 1602 1602 32.92% 21.83% 45.25% +7.1 9
2003-09-17 Aalborg D 1-1 1762 1590 65.28% 18.93% 15.79% -2.0 17
2003-09-17 @ Brondby D 1-1 1590 1762 15.79% 18.93% 65.28% +2.0 8
2003-09-17 AB Copenhagen W 2-0 1564 1579 43.04% 21.91% 35.05% +12.2 10
2003-09-17 @ Aarhus GF L 0-2 1579 1564 35.05% 21.91% 43.04% -12.2 7
2003-09-17 FC Copenhagen D 2-2 1609 1724 29.63% 21.62% 48.75% +0.5 10
2003-09-17 @ Viborg D 2-2 1724 1609 48.75% 21.62% 29.63% -0.5 14
2003-09-17 BK Frem Kobenhavn W 2-0 1633 1595 50.30% 21.49% 28.21% +10.2 17
2003-09-17 @ Esbjerg L 0-2 1595 1633 28.21% 21.49% 50.30% -10.2 9
2003-09-17 Nordsjaelland D 1-1 1664 1568 57.39% 20.61% 22.00% -1.4 14
2003-09-17 @ Midtjylland D 1-1 1568 1664 22.00% 20.61% 57.39% +1.4 6
2003-09-17 Odense D 2-2 1538 1653 29.57% 21.61% 48.82% +0.5 7
2003-09-17 @ Herfolge D 2-2 1653 1538 48.82% 21.61% 29.57% -0.5 14
2003-09-20 Brondby L 0-1 1652 1760 30.51% 21.68% 47.81% -5.8 14
2003-09-20 @ Odense W 1-0 1760 1652 47.81% 21.68% 30.51% +5.8 20
2003-09-20 Esbjerg D 1-1 1569 1643 34.78% 21.90% 43.31% +0.3 7
2003-09-20 @ Nordsjaelland D 1-1 1643 1569 43.31% 21.90% 34.78% -0.3 18
2003-09-20 Herfolge D 0-0 1723 1538 66.46% 18.61% 14.93% -2.3 15
2003-09-20 @ FC Copenhagen D 0-0 1538 1723 14.93% 18.61% 66.46% +2.3 8
2003-09-21 Aarhus GF L 1-4 1585 1576 46.47% 21.77% 31.76% -18.7 9
2003-09-21 @ BK Frem Kobenhavn W 4-1 1576 1585 31.76% 21.77% 46.47% +18.7 13
2003-09-21 Midtjylland W 1-0 1592 1663 35.19% 21.91% 42.90% +7.6 11
2003-09-21 @ Aalborg L 0-1 1663 1592 42.90% 21.91% 35.19% -7.6 14
2003-09-21 Viborg L 1-4 1567 1610 39.26% 21.97% 38.78% -16.3 7
2003-09-21 @ AB Copenhagen W 4-1 1610 1567 38.78% 21.97% 39.26% +16.3 13
2003-09-28 Aarhus GF W 2-1 1599 1594 45.85% 21.80% 32.35% +5.7 14
2003-09-28 @ Aalborg L 1-2 1594 1599 32.35% 21.80% 45.85% -5.7 13
2003-09-28 AB Copenhagen W 2-1 1647 1551 57.28% 20.63% 22.10% +4.1 17
2003-09-28 @ Odense L 1-2 1551 1647 22.10% 20.63% 57.28% -4.1 7
2003-09-28 BK Frem Kobenhavn W 2-0 1721 1566 63.55% 19.37% 17.08% +6.4 18
2003-09-28 @ FC Copenhagen L 0-2 1566 1721 17.08% 19.37% 63.55% -6.4 9
2003-09-28 Herfolge W 2-0 1643 1541 58.04% 20.50% 21.46% +8.0 21
2003-09-28 @ Esbjerg L 0-2 1541 1643 21.46% 20.50% 58.04% -8.0 8
2003-09-28 Midtjylland L 1-3 1765 1655 58.89% 20.35% 20.76% -16.3 20
2003-09-28 @ Brondby W 3-1 1655 1765 20.76% 20.35% 58.89% +16.3 17
2003-09-28 Viborg W 2-1 1569 1626 37.24% 21.96% 40.80% +6.9 10
2003-09-28 @ Nordsjaelland L 1-2 1626 1569 40.80% 21.96% 37.24% -6.9 13
2003-10-04 FC Copenhagen L 0-1 1547 1727 22.44% 20.69% 56.87% -4.4 7
2003-10-04 @ AB Copenhagen W 1-0 1727 1547 56.87% 20.69% 22.44% +4.4 21
2003-10-05 Aalborg L 2-3 1619 1605 47.16% 21.73% 31.11% -7.3 13
2003-10-05 @ Viborg W 3-2 1605 1619 31.11% 21.73% 47.16% +7.3 17
2003-10-05 Esbjerg W 3-0 1749 1651 57.55% 20.58% 21.87% +11.8 23
2003-10-05 @ Brondby L 0-3 1651 1749 21.87% 20.58% 57.55% -11.8 21
2003-10-05 BK Frem Kobenhavn W 4-1 1672 1560 59.09% 20.31% 20.60% +9.4 20
2003-10-05 @ Midtjylland L 1-4 1560 1672 20.60% 20.31% 59.09% -9.4 9
2003-10-05 Nordsjaelland W 2-1 1533 1576 39.10% 21.97% 38.93% +6.6 11
2003-10-05 @ Herfolge L 1-2 1576 1533 38.93% 21.97% 39.10% -6.6 10
2003-10-05 Odense L 0-5 1589 1651 36.50% 21.95% 41.55% -29.4 13
2003-10-05 @ Aarhus GF W 5-0 1651 1589 41.55% 21.95% 36.50% +29.4 20
2003-10-18 Nordsjaelland W 5-1 1550 1570 42.56% 21.92% 35.52% +19.5 12
2003-10-18 @ BK Frem Kobenhavn L 1-5 1570 1550 35.52% 21.92% 42.56% -19.5 10
2003-10-19 Aalborg L 0-3 1542 1612 35.41% 21.92% 42.66% -17.8 7
2003-10-19 @ AB Copenhagen W 3-0 1612 1542 42.66% 21.92% 35.41% +17.8 20
2003-10-19 Brondby L 1-2 1559 1761 20.46% 20.28% 59.26% -3.8 13
2003-10-19 @ Aarhus GF W 2-1 1761 1559 59.26% 20.28% 20.46% +3.8 26
2003-10-19 Esbjerg L 1-2 1612 1639 41.38% 21.95% 36.67% -6.9 13
2003-10-19 @ Viborg W 2-1 1639 1612 36.67% 21.95% 41.38% +6.9 24
2003-10-19 Herfolge L 0-2 1681 1539 62.26% 19.67% 18.07% -19.7 20
2003-10-19 @ Midtjylland W 2-0 1539 1681 18.07% 19.67% 62.26% +19.7 14
2003-10-19 Odense D 2-2 1731 1680 51.98% 21.33% 26.69% -0.7 22
2003-10-19 @ FC Copenhagen D 2-2 1680 1731 26.69% 21.33% 51.98% +0.7 21
2003-10-22 Aarhus GF W 4-2 1681 1556 60.54% 20.04% 19.42% +5.6 24
2003-10-22 @ Odense L 2-4 1556 1681 19.42% 20.04% 60.54% -5.6 13
2003-10-22 AB Copenhagen W 3-1 1646 1525 60.16% 20.11% 19.73% +6.4 27
2003-10-22 @ Esbjerg L 1-3 1525 1646 19.73% 20.11% 60.16% -6.4 7
2003-10-22 FC Copenhagen L 0-1 1559 1731 23.29% 20.84% 55.86% -4.6 14
2003-10-22 @ Herfolge W 1-0 1731 1559 55.86% 20.84% 23.29% +4.6 25
2003-10-22 BK Frem Kobenhavn D 0-0 1630 1570 53.06% 21.21% 25.73% -1.2 21
2003-10-22 @ Aalborg D 0-0 1570 1630 25.73% 21.21% 53.06% +1.2 13
2003-10-22 Midtjylland L 1-7 1550 1661 30.04% 21.65% 48.31% -24.6 10
2003-10-22 @ Nordsjaelland W 7-1 1661 1550 48.31% 21.65% 30.04% +24.6 23
2003-10-22 Viborg W 1-0 1765 1605 64.10% 19.24% 16.67% +3.3 29
2003-10-22 @ Brondby L 0-1 1605 1765 16.67% 19.24% 64.10% -3.3 13
2003-10-25 Odense D 2-2 1555 1686 27.57% 21.43% 51.00% +0.7 15
2003-10-25 @ Herfolge D 2-2 1686 1555 51.00% 21.43% 27.57% -0.7 25
2003-10-26 Aalborg L 2-3 1686 1629 52.69% 21.25% 26.06% -8.1 23
2003-10-26 @ Midtjylland W 3-2 1629 1686 26.06% 21.25% 52.69% +8.1 24
2003-10-26 Aarhus GF W 4-0 1601 1550 52.00% 21.33% 26.68% +18.4 16
2003-10-26 @ Viborg L 0-4 1550 1601 26.68% 21.33% 52.00% -18.4 13
2003-10-26 Brondby L 0-1 1518 1768 16.54% 19.19% 64.27% -3.3 7
2003-10-26 @ AB Copenhagen W 1-0 1768 1518 64.27% 19.19% 16.54% +3.3 32
2003-10-26 Esbjerg L 0-4 1571 1653 33.82% 21.87% 44.31% -22.5 13
2003-10-26 @ BK Frem Kobenhavn W 4-0 1653 1571 44.31% 21.87% 33.82% +22.4 30
2003-10-26 Nordsjaelland W 2-0 1735 1526 68.72% 17.93% 13.35% +5.0 28
2003-10-26 @ FC Copenhagen L 0-2 1526 1735 13.35% 17.93% 68.72% -5.0 10
2003-10-29 AB Copenhagen W 3-1 1532 1515 47.48% 21.71% 30.82% +9.5 16
2003-10-29 @ Aarhus GF L 1-3 1515 1532 30.82% 21.71% 47.48% -9.5 7
2003-10-29 FC Copenhagen L 0-1 1637 1740 30.99% 21.72% 47.29% -5.8 24
2003-10-29 @ Aalborg W 1-0 1740 1637 47.29% 21.72% 30.99% +5.8 31
2003-10-29 BK Frem Kobenhavn W 3-1 1771 1549 69.85% 17.56% 12.59% +4.1 35
2003-10-29 @ Brondby L 1-3 1549 1771 12.59% 17.56% 69.85% -4.1 13
2003-10-29 Herfolge D 1-1 1521 1555 40.37% 21.96% 37.66% -0.1 11
2003-10-29 @ Nordsjaelland D 1-1 1555 1521 37.66% 21.96% 40.37% +0.1 16
2003-10-29 Midtjylland W 2-0 1675 1678 44.85% 21.85% 33.30% +11.7 33
2003-10-29 @ Esbjerg L 0-2 1678 1675 33.30% 21.85% 44.85% -11.7 23
2003-10-29 Viborg W 4-2 1686 1620 53.76% 21.12% 25.11% +7.1 28
2003-10-29 @ Odense L 2-4 1620 1686 25.11% 21.12% 53.76% -7.1 16
2003-11-01 Brondby L 0-2 1666 1775 30.26% 21.67% 48.07% -10.8 23
2003-11-01 @ Midtjylland W 2-0 1775 1666 48.07% 21.67% 30.26% +10.8 38
2003-11-02 Aalborg D 3-3 1555 1631 34.61% 21.90% 43.50% +0.2 17
2003-11-02 @ Herfolge D 3-3 1631 1555 43.50% 21.90% 34.61% -0.2 25
2003-11-02 Aarhus GF L 1-2 1545 1541 45.71% 21.81% 32.49% -7.5 13
2003-11-02 @ BK Frem Kobenhavn W 2-1 1541 1545 32.49% 21.81% 45.71% +7.5 19
2003-11-02 Esbjerg L 0-1 1746 1687 52.97% 21.22% 25.81% -9.1 31
2003-11-02 @ FC Copenhagen W 1-0 1687 1746 25.81% 21.22% 52.97% +9.1 36
2003-11-02 Odense W 3-0 1520 1693 23.22% 20.83% 55.95% +26.0 14
2003-11-02 @ Nordsjaelland L 0-3 1693 1520 55.95% 20.83% 23.22% -26.0 28
2003-11-02 Viborg L 0-3 1505 1613 30.50% 21.68% 47.81% -15.8 7
2003-11-02 @ AB Copenhagen W 3-0 1613 1505 47.81% 21.68% 30.50% +15.8 19
2003-11-08 Midtjylland W 2-1 1549 1655 30.58% 21.69% 47.73% +7.8 22
2003-11-08 @ Aarhus GF L 1-2 1655 1549 47.73% 21.69% 30.58% -7.8 23
2003-11-09 AB Copenhagen W 1-0 1667 1490 65.76% 18.80% 15.43% +3.1 31
2003-11-09 @ Odense L 0-1 1490 1667 15.43% 18.80% 65.76% -3.1 7
2003-11-09 FC Copenhagen D 2-2 1786 1737 51.69% 21.36% 26.95% -0.7 39
2003-11-09 @ Brondby D 2-2 1737 1786 26.95% 21.36% 51.69% +0.7 32
2003-11-09 BK Frem Kobenhavn D 0-0 1629 1537 56.80% 20.70% 22.50% -1.5 20
2003-11-09 @ Viborg D 0-0 1537 1629 22.50% 20.70% 56.80% +1.5 14
2003-11-09 Herfolge W 2-0 1696 1556 62.12% 19.70% 18.18% +6.8 39
2003-11-09 @ Esbjerg L 0-2 1556 1696 18.18% 19.70% 62.12% -6.8 17
2003-11-09 Nordsjaelland D 3-3 1631 1547 55.96% 20.83% 23.21% -0.8 26
2003-11-09 @ Aalborg D 3-3 1547 1631 23.21% 20.83% 55.96% +0.8 15
2003-11-22 Brondby L 1-3 1549 1786 17.52% 19.51% 62.97% -5.7 17
2003-11-22 @ Herfolge W 3-1 1786 1549 62.97% 19.51% 17.52% +5.7 42
2003-11-23 Aarhus GF D 1-1 1738 1556 66.16% 18.69% 15.15% -2.1 33
2003-11-23 @ FC Copenhagen D 1-1 1556 1738 15.15% 18.69% 66.16% +2.1 23
2003-11-23 AB Copenhagen L 1-2 1539 1487 52.05% 21.32% 26.63% -8.4 14
2003-11-23 @ BK Frem Kobenhavn W 2-1 1487 1539 26.63% 21.32% 52.05% +8.4 10
2003-11-23 Esbjerg W 2-0 1547 1703 24.98% 21.11% 53.92% +17.4 18
2003-11-23 @ Nordsjaelland L 0-2 1703 1547 53.92% 21.11% 24.98% -17.4 39
2003-11-23 Odense W 3-1 1630 1670 39.62% 21.97% 38.41% +11.3 29
2003-11-23 @ Aalborg L 1-3 1670 1630 38.41% 21.97% 39.62% -11.3 31
2003-11-23 Viborg D 0-0 1648 1627 47.99% 21.67% 30.34% -0.8 24
2003-11-23 @ Midtjylland D 0-0 1627 1648 30.34% 21.67% 47.99% +0.7 21
2003-11-29 Aalborg W 4-2 1685 1641 51.04% 21.42% 27.54% +7.7 42
2003-11-29 @ Esbjerg L 2-4 1641 1685 27.54% 21.42% 51.04% -7.7 29
2003-11-30 FC Copenhagen L 0-2 1628 1736 30.43% 21.68% 47.89% -10.8 21
2003-11-30 @ Viborg W 2-0 1736 1628 47.89% 21.68% 30.43% +10.8 36
2003-11-30 BK Frem Kobenhavn W 2-1 1659 1530 60.88% 19.97% 19.15% +3.6 34
2003-11-30 @ Odense L 1-2 1530 1659 19.15% 19.97% 60.88% -3.6 14
2003-11-30 Herfolge L 1-3 1558 1543 47.31% 21.72% 30.97% -13.4 23
2003-11-30 @ Aarhus GF W 3-1 1543 1558 30.97% 21.72% 47.31% +13.4 20
2003-11-30 Midtjylland D 3-3 1495 1647 25.35% 21.16% 53.49% +0.7 11
2003-11-30 @ AB Copenhagen D 3-3 1647 1495 53.49% 21.16% 25.35% -0.7 25
2003-11-30 Nordsjaelland W 2-1 1791 1565 70.16% 17.46% 12.38% +2.3 45
2003-11-30 @ Brondby L 1-2 1565 1791 12.38% 17.46% 70.16% -2.3 18
2003-12-06 Aarhus GF L 1-3 1562 1545 47.58% 21.70% 30.73% -13.5 18
2003-12-06 @ Nordsjaelland W 3-1 1545 1562 30.73% 21.70% 47.58% +13.5 26
2003-12-07 AB Copenhagen W 3-1 1747 1496 72.17% 16.75% 11.09% +3.5 39
2003-12-07 @ FC Copenhagen L 1-3 1496 1747 11.09% 16.75% 72.17% -3.5 11
2003-12-07 Brondby D 1-1 1634 1794 24.50% 21.04% 54.47% +1.2 30
2003-12-07 @ Aalborg D 1-1 1794 1634 54.47% 21.04% 24.50% -1.2 46
2003-12-07 BK Frem Kobenhavn D 3-3 1646 1527 59.93% 20.16% 19.91% -1.0 26
2003-12-07 @ Midtjylland D 3-3 1527 1646 19.91% 20.16% 59.93% +1.0 15
2003-12-07 Odense D 3-3 1693 1662 49.35% 21.57% 29.08% -0.5 43
2003-12-07 @ Esbjerg D 3-3 1662 1693 29.08% 21.57% 49.35% +0.5 35
2003-12-07 Viborg L 0-1 1556 1617 36.69% 21.95% 41.36% -6.7 20
2003-12-07 @ Herfolge W 1-0 1617 1556 41.36% 21.95% 36.69% +6.7 24
2004-03-13 FC Copenhagen L 1-2 1528 1750 18.66% 19.83% 61.51% -3.5 15
2004-03-13 @ BK Frem Kobenhavn W 2-1 1750 1528 61.51% 19.83% 18.66% +3.5 42
2004-03-14 Aalborg L 0-1 1558 1635 34.53% 21.89% 43.58% -6.4 26
2004-03-14 @ Aarhus GF W 1-0 1635 1558 43.58% 21.89% 34.53% +6.4 33
2004-03-14 Esbjerg L 1-6 1792 1693 57.75% 20.55% 21.70% -35.7 46
2004-03-14 @ Brondby W 6-1 1693 1792 21.70% 20.55% 57.75% +35.7 46
2004-03-14 Herfolge L 1-2 1492 1550 37.09% 21.95% 40.96% -6.4 11
2004-03-14 @ AB Copenhagen W 2-1 1550 1492 40.96% 21.95% 37.09% +6.4 23
2004-03-14 Midtjylland W 4-0 1663 1645 47.59% 21.70% 30.71% +20.7 38
2004-03-14 @ Odense L 0-4 1645 1663 30.71% 21.70% 47.59% -20.7 26
2004-03-14 Nordsjaelland D 0-0 1624 1549 54.83% 20.99% 24.18% -1.3 25
2004-03-14 @ Viborg D 0-0 1549 1624 24.18% 20.99% 54.83% +1.3 19
2004-03-20 Brondby W 1-0 1683 1757 34.93% 21.91% 43.16% +7.6 41
2004-03-20 @ Odense L 0-1 1757 1683 43.16% 21.91% 34.93% -7.6 46
2004-03-21 Aarhus GF D 3-3 1728 1552 65.66% 18.83% 15.51% -1.3 47
2004-03-21 @ Esbjerg D 3-3 1552 1728 15.51% 18.83% 65.66% +1.3 27
2004-03-21 AB Copenhagen W 1-0 1550 1486 53.60% 21.14% 25.25% +4.9 22
2004-03-21 @ Nordsjaelland L 0-1 1486 1550 25.25% 21.14% 53.60% -4.9 11
2004-03-21 BK Frem Kobenhavn L 0-1 1556 1524 49.51% 21.56% 28.93% -8.5 23
2004-03-21 @ Herfolge W 1-0 1524 1556 28.93% 21.56% 49.51% +8.5 18
2004-03-21 Midtjylland W 2-1 1754 1624 60.97% 19.95% 19.08% +3.6 45
2004-03-21 @ FC Copenhagen L 1-2 1624 1754 19.08% 19.95% 60.97% -3.6 26
2004-03-21 Viborg W 2-0 1641 1622 47.77% 21.69% 30.54% +10.9 36
2004-03-21 @ Aalborg L 0-2 1622 1641 30.54% 21.69% 47.77% -10.9 25
2004-03-27 AB Copenhagen W 6-0 1621 1481 62.09% 19.71% 18.20% +19.0 29
2004-03-27 @ Midtjylland L 0-6 1481 1621 18.20% 19.71% 62.09% -19.0 11
2004-03-28 Aarhus GF W 1-0 1548 1553 44.42% 21.86% 33.71% +6.3 26
2004-03-28 @ Herfolge L 0-1 1553 1548 33.71% 21.86% 44.42% -6.3 27
2004-03-28 Brondby D 0-0 1555 1749 21.16% 20.44% 58.41% +1.6 23
2004-03-28 @ Nordsjaelland D 0-0 1749 1555 58.41% 20.44% 21.16% -1.6 47
2004-03-28 Esbjerg D 1-1 1652 1727 34.71% 21.90% 43.39% +0.3 37
2004-03-28 @ Aalborg D 1-1 1727 1652 43.39% 21.90% 34.71% -0.3 48
2004-03-28 Odense L 1-3 1533 1691 24.65% 21.06% 54.29% -7.8 18
2004-03-28 @ BK Frem Kobenhavn W 3-1 1691 1533 54.29% 21.06% 24.65% +7.8 44
2004-03-28 Viborg L 0-1 1757 1611 62.68% 19.58% 17.74% -10.5 45
2004-03-28 @ FC Copenhagen W 1-0 1611 1757 17.74% 19.58% 62.68% +10.5 28
2004-04-03 Herfolge W 3-0 1747 1554 67.28% 18.37% 14.35% +7.8 50
2004-04-03 @ Brondby L 0-3 1554 1747 14.35% 18.37% 67.28% -7.8 26
2004-04-04 Aalborg W 3-1 1699 1652 51.35% 21.39% 27.26% +8.6 47
2004-04-04 @ Odense L 1-3 1652 1699 27.26% 21.39% 51.35% -8.6 37
2004-04-04 FC Copenhagen L 0-2 1547 1747 20.64% 20.32% 59.03% -7.7 27
2004-04-04 @ Aarhus GF W 2-0 1747 1547 59.03% 20.32% 20.64% +7.7 48
2004-04-04 BK Frem Kobenhavn W 1-0 1462 1525 36.36% 21.94% 41.70% +7.4 14
2004-04-04 @ AB Copenhagen L 0-1 1525 1462 41.70% 21.94% 36.36% -7.4 18
2004-04-04 Midtjylland D 1-1 1622 1640 42.76% 21.92% 35.33% -0.3 29
2004-04-04 @ Viborg D 1-1 1640 1622 35.33% 21.92% 42.76% +0.3 30
2004-04-04 Nordsjaelland W 4-0 1727 1557 65.07% 18.99% 15.95% +11.4 51
2004-04-04 @ Esbjerg L 0-4 1557 1727 15.95% 18.99% 65.07% -11.4 23
2004-04-11 BK Frem Kobenhavn W 3-2 1754 1517 71.04% 17.15% 11.81% +2.1 51
2004-04-11 @ FC Copenhagen L 2-3 1517 1754 11.81% 17.15% 71.04% -2.1 18
2004-04-12 Aarhus GF W 4-1 1644 1539 58.26% 20.46% 21.27% +9.7 40
2004-04-12 @ Aalborg L 1-4 1539 1644 21.27% 20.46% 58.26% -9.7 27
2004-04-12 AB Copenhagen L 0-1 1546 1469 55.07% 20.95% 23.97% -9.4 26
2004-04-12 @ Herfolge W 1-0 1469 1546 23.97% 20.95% 55.07% +9.4 17
2004-04-12 Brondby D 0-0 1738 1755 42.85% 21.92% 35.23% -0.3 52
2004-04-12 @ Esbjerg D 0-0 1755 1738 35.23% 21.92% 42.85% +0.3 51
2004-04-12 Odense W 3-1 1640 1707 35.75% 21.93% 42.33% +12.2 33
2004-04-12 @ Midtjylland L 1-3 1707 1640 42.33% 21.93% 35.75% -12.2 47
2004-04-12 Viborg L 0-4 1545 1622 34.53% 21.89% 43.57% -22.8 23
2004-04-12 @ Nordsjaelland W 4-0 1622 1545 43.57% 21.89% 34.53% +22.8 32
2004-04-17 Esbjerg D 2-2 1695 1738 39.23% 21.97% 38.80% -0.0 48
2004-04-17 @ Odense D 2-2 1738 1695 38.80% 21.97% 39.23% +0.0 53
2004-04-18 Aalborg W 4-0 1755 1654 57.99% 20.51% 21.50% +15.2 54
2004-04-18 @ Brondby L 0-4 1654 1755 21.50% 20.51% 57.99% -15.2 40
2004-04-18 FC Copenhagen L 0-2 1479 1756 14.61% 18.48% 66.92% -5.5 17
2004-04-18 @ AB Copenhagen W 2-0 1756 1479 66.92% 18.48% 14.61% +5.5 54
2004-04-18 Herfolge W 2-0 1645 1537 58.65% 20.39% 20.95% +7.8 35
2004-04-18 @ Viborg L 0-2 1537 1645 20.95% 20.39% 58.65% -7.8 26
2004-04-18 Midtjylland W 2-1 1515 1652 26.99% 21.36% 51.65% +8.4 21
2004-04-18 @ BK Frem Kobenhavn L 1-2 1652 1515 51.65% 21.36% 26.99% -8.4 33
2004-04-18 Nordsjaelland L 1-2 1530 1523 46.20% 21.78% 32.02% -7.6 27
2004-04-18 @ Aarhus GF W 2-1 1523 1530 32.02% 21.78% 46.20% +7.6 26
2004-04-24 Brondby W 3-2 1652 1771 29.17% 21.58% 49.26% +7.6 38
2004-04-24 @ Viborg L 2-3 1771 1652 49.26% 21.58% 29.17% -7.6 54
2004-04-25 Aalborg L 0-1 1524 1638 29.60% 21.61% 48.79% -5.6 21
2004-04-25 @ BK Frem Kobenhavn W 1-0 1638 1524 48.79% 21.61% 29.60% +5.6 43
2004-04-25 Esbjerg L 2-5 1473 1738 15.49% 18.82% 65.69% -6.2 17
2004-04-25 @ AB Copenhagen W 5-2 1738 1473 65.69% 18.82% 15.49% +6.2 56
2004-04-25 Herfolge D 1-1 1762 1529 70.71% 17.27% 12.02% -2.4 55
2004-04-25 @ FC Copenhagen D 1-1 1529 1762 12.02% 17.27% 70.71% +2.4 27
2004-04-25 Nordsjaelland W 3-0 1644 1530 59.30% 20.28% 20.43% +11.1 36
2004-04-25 @ Midtjylland L 0-3 1530 1644 20.43% 20.28% 59.30% -11.1 26
2004-04-25 Odense W 1-0 1522 1695 23.16% 20.82% 56.02% +9.5 30
2004-04-25 @ Aarhus GF L 0-1 1695 1522 56.02% 20.82% 23.16% -9.5 48
2004-05-01 FC Copenhagen L 0-4 1686 1760 34.85% 21.90% 43.25% -23.0 48
2004-05-01 @ Odense W 4-0 1760 1686 43.25% 21.90% 34.85% +23.0 58
2004-05-02 Aarhus GF W 2-0 1763 1532 70.57% 17.32% 12.11% +4.5 57
2004-05-02 @ Brondby L 0-2 1532 1763 12.11% 17.32% 70.57% -4.5 30
2004-05-02 AB Copenhagen W 3-1 1644 1467 65.74% 18.81% 15.45% +5.0 46
2004-05-02 @ Aalborg L 1-3 1467 1644 15.45% 18.81% 65.74% -5.0 17
2004-05-02 BK Frem Kobenhavn W 2-1 1519 1518 45.38% 21.82% 32.80% +5.8 29
2004-05-02 @ Nordsjaelland L 1-2 1518 1519 32.80% 21.82% 45.38% -5.8 21
2004-05-02 Midtjylland L 1-4 1531 1655 28.52% 21.52% 49.96% -12.6 27
2004-05-02 @ Herfolge W 4-1 1655 1531 49.96% 21.52% 28.52% +12.6 39
2004-05-02 Viborg W 2-0 1744 1660 55.93% 20.83% 23.24% +8.6 59
2004-05-02 @ Esbjerg L 0-2 1660 1744 23.24% 20.83% 55.93% -8.6 38
2004-05-08 FC Copenhagen W 2-1 1668 1782 29.57% 21.61% 48.81% +8.0 42
2004-05-08 @ Midtjylland L 1-2 1782 1668 48.81% 21.61% 29.57% -8.0 58
2004-05-09 Aalborg L 0-1 1651 1649 45.54% 21.81% 32.64% -8.0 38
2004-05-09 @ Viborg W 1-0 1649 1651 32.64% 21.81% 45.54% +8.0 49
2004-05-09 Esbjerg W 4-1 1527 1752 18.43% 19.77% 61.79% +24.0 33
2004-05-09 @ Aarhus GF L 1-4 1752 1527 61.79% 19.77% 18.43% -24.0 59
2004-05-09 Herfolge W 3-2 1512 1519 44.34% 21.87% 33.80% +5.6 24
2004-05-09 @ BK Frem Kobenhavn L 2-3 1519 1512 33.80% 21.87% 44.34% -5.6 27
2004-05-09 Nordsjaelland W 2-1 1462 1525 36.35% 21.94% 41.70% +7.0 20
2004-05-09 @ AB Copenhagen L 1-2 1525 1462 41.70% 21.94% 36.35% -7.0 29
2004-05-09 Odense D 1-1 1768 1663 58.33% 20.45% 21.22% -1.5 58
2004-05-09 @ Brondby D 1-1 1663 1768 21.22% 20.45% 58.33% +1.5 49
2004-05-13 Aalborg D 0-0 1518 1657 26.76% 21.33% 51.91% +1.1 30
2004-05-13 @ Nordsjaelland D 0-0 1657 1518 51.91% 21.33% 26.76% -1.1 50
2004-05-13 Aarhus GF W 5-2 1676 1551 60.45% 20.05% 19.50% +7.7 45
2004-05-13 @ Midtjylland L 2-5 1551 1676 19.50% 20.05% 60.45% -7.7 33
2004-05-13 Brondby W 1-0 1775 1766 46.38% 21.77% 31.85% +6.0 61
2004-05-13 @ FC Copenhagen L 0-1 1766 1775 31.85% 21.77% 46.38% -6.0 58
2004-05-13 Esbjerg W 3-1 1513 1728 19.25% 19.99% 60.75% +16.7 30
2004-05-13 @ Herfolge L 1-3 1728 1513 60.75% 19.99% 19.25% -16.7 59
2004-05-13 Odense L 0-3 1469 1664 21.04% 20.41% 58.54% -11.4 20
2004-05-13 @ AB Copenhagen W 3-0 1664 1469 58.54% 20.41% 21.04% +11.4 52
2004-05-13 Viborg W 3-1 1518 1643 28.31% 21.50% 50.19% +14.1 27
2004-05-13 @ BK Frem Kobenhavn L 1-3 1643 1518 50.19% 21.50% 28.31% -14.1 38
2004-05-16 AB Copenhagen L 0-2 1629 1458 65.24% 18.94% 15.82% -20.6 38
2004-05-16 @ Viborg W 2-0 1458 1629 15.82% 18.94% 65.24% +20.6 23
2004-05-16 FC Copenhagen L 0-2 1712 1781 35.55% 21.92% 42.52% -12.3 59
2004-05-16 @ Esbjerg W 2-0 1781 1712 42.52% 21.92% 35.55% +12.3 64
2004-05-16 BK Frem Kobenhavn W 1-0 1543 1532 46.78% 21.75% 31.47% +5.9 36
2004-05-16 @ Aarhus GF L 0-1 1532 1543 31.47% 21.75% 46.78% -5.9 27
2004-05-16 Herfolge W 7-2 1656 1530 60.63% 20.02% 19.35% +11.7 53
2004-05-16 @ Aalborg L 2-7 1530 1656 19.35% 20.02% 60.63% -11.7 30
2004-05-16 Midtjylland W 2-1 1760 1683 55.09% 20.95% 23.96% +4.4 61
2004-05-16 @ Brondby L 1-2 1683 1760 23.96% 20.95% 55.09% -4.4 45
2004-05-16 Nordsjaelland D 1-1 1675 1519 63.75% 19.32% 16.93% -1.9 53
2004-05-16 @ Odense D 1-1 1519 1675 16.93% 19.32% 63.75% +1.9 31
2004-05-23 Aalborg D 1-1 1793 1668 60.54% 20.04% 19.42% -1.6 65
2004-05-23 @ FC Copenhagen D 1-1 1668 1793 19.42% 20.04% 60.54% +1.6 54
2004-05-23 Aarhus GF W 3-1 1478 1549 35.22% 21.92% 42.87% +12.4 26
2004-05-23 @ AB Copenhagen L 1-3 1549 1478 42.87% 21.92% 35.22% -12.4 36
2004-05-23 Brondby L 1-3 1526 1765 17.39% 19.47% 63.14% -5.6 27
2004-05-23 @ BK Frem Kobenhavn W 3-1 1765 1526 63.14% 19.47% 17.39% +5.7 64
2004-05-23 Esbjerg W 2-1 1679 1699 42.36% 21.93% 35.71% +6.2 48
2004-05-23 @ Midtjylland L 1-2 1699 1679 35.71% 21.93% 42.36% -6.2 59
2004-05-23 Nordsjaelland D 1-1 1518 1521 44.83% 21.85% 33.32% -0.4 31
2004-05-23 @ Herfolge D 1-1 1521 1518 33.32% 21.85% 44.83% +0.4 32
2004-05-23 Odense D 2-2 1609 1674 36.09% 21.94% 41.97% +0.2 39
2004-05-23 @ Viborg D 2-2 1674 1609 41.97% 21.94% 36.09% -0.2 54
2004-05-29 AB Copenhagen W 2-1 1770 1491 74.38% 15.89% 9.73% +1.8 67
2004-05-29 @ Brondby L 1-2 1491 1770 9.73% 15.89% 74.38% -1.8 26
2004-05-29 FC Copenhagen L 2-4 1521 1791 15.13% 18.69% 66.18% -4.4 32
2004-05-29 @ Nordsjaelland W 4-2 1791 1521 66.18% 18.69% 15.13% +4.4 68
2004-05-29 BK Frem Kobenhavn W 6-3 1693 1520 65.35% 18.91% 15.73% +5.8 62
2004-05-29 @ Esbjerg L 3-6 1520 1693 15.73% 18.91% 65.35% -5.8 27
2004-05-29 Herfolge W 4-0 1673 1518 63.68% 19.34% 16.98% +12.1 57
2004-05-29 @ Odense L 0-4 1518 1673 16.98% 19.34% 63.68% -12.1 31
2004-05-29 Midtjylland W 3-1 1669 1685 43.04% 21.91% 35.05% +10.5 57
2004-05-29 @ Aalborg L 1-3 1685 1669 35.05% 21.91% 43.04% -10.5 48
2004-05-29 Viborg L 0-2 1537 1609 35.13% 21.91% 42.96% -12.2 36
2004-05-29 @ Aarhus GF W 2-0 1609 1537 42.96% 21.91% 35.13% +12.2 42

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 2004-05-16 15.82% AB Copenhagen 1458 2 @ Viborg 1629 0
2 2004-03-28 17.74% Viborg 1611 1 @ FC Copenhagen 1757 0
3 2003-10-19 18.07% Herfolge 1539 2 @ Midtjylland 1681 0
4 2004-05-09 18.43% @ Aarhus GF 1527 4 Esbjerg 1752 1
5 2004-05-13 19.25% @ Herfolge 1513 3 Esbjerg 1728 1
6 2003-09-28 20.76% Midtjylland 1655 3 @ Brondby 1765 1
7 2004-03-14 21.70% Esbjerg 1693 6 @ Brondby 1792 1
8 2004-04-25 23.16% @ Aarhus GF 1522 1 Odense 1695 0
9 2003-11-02 23.22% @ Nordsjaelland 1520 3 Odense 1693 0
10 2003-08-02 23.35% Odense 1640 4 @ FC Copenhagen 1722 2
11 2003-09-13 23.84% Midtjylland 1655 1 @ FC Copenhagen 1733 0
12 2004-04-12 23.97% AB Copenhagen 1469 1 @ Herfolge 1546 0
13 2003-08-30 24.10% Herfolge 1526 2 @ Aalborg 1601 0
14 2003-11-23 24.98% @ Nordsjaelland 1547 2 Esbjerg 1703 0
15 2003-11-02 25.81% Esbjerg 1687 1 @ FC Copenhagen 1746 0
16 2003-10-26 26.06% Aalborg 1629 3 @ Midtjylland 1686 2
17 2003-11-23 26.63% AB Copenhagen 1487 2 @ BK Frem Kobenhavn 1539 1
18 2004-04-18 26.99% @ BK Frem Kobenhavn 1515 2 Midtjylland 1652 1
19 2003-08-23 27.93% FC Copenhagen 1712 1 @ Brondby 1752 0
20 2004-05-13 28.31% @ BK Frem Kobenhavn 1518 3 Viborg 1643 1
21 2004-03-21 28.93% BK Frem Kobenhavn 1524 1 @ Herfolge 1556 0
22 2003-08-10 29.15% BK Frem Kobenhavn 1584 1 @ Aalborg 1614 0
23 2004-04-24 29.17% @ Viborg 1652 3 Brondby 1771 2
24 2004-05-08 29.57% @ Midtjylland 1668 2 FC Copenhagen 1782 1
25 2003-08-31 29.74% AB Copenhagen 1585 2 @ BK Frem Kobenhavn 1610 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 2004-03-14 35.74 Esbjerg 6 1693 21.70% @ Brondby 1 1792 57.75% 20.55%
2 2003-10-05 29.42 Odense 5 1651 41.55% @ Aarhus GF 0 1589 36.50% 21.95%
3 2003-11-02 26.05 @ Nordsjaelland 3 1520 23.22% Odense 0 1693 55.95% 20.83%
4 2003-10-22 24.59 Midtjylland 7 1661 48.31% @ Nordsjaelland 1 1550 30.04% 21.65%
5 2004-05-09 24.01 @ Aarhus GF 4 1527 18.43% Esbjerg 1 1752 61.79% 19.77%
6 2004-05-01 23.00 FC Copenhagen 4 1760 43.25% @ Odense 0 1686 34.85% 21.90%
7 2004-04-12 22.83 Viborg 4 1622 43.57% @ Nordsjaelland 0 1545 34.53% 21.89%
8 2003-10-26 22.45 Esbjerg 4 1653 44.31% @ BK Frem Kobenhavn 0 1571 33.82% 21.87%
9 2004-03-14 20.74 @ Odense 4 1663 47.59% Midtjylland 0 1645 30.71% 21.70%
10 2004-05-16 20.57 AB Copenhagen 2 1458 15.82% @ Viborg 0 1629 65.24% 18.94%
11 2003-10-19 19.74 Herfolge 2 1539 18.07% @ Midtjylland 0 1681 62.26% 19.67%
12 2003-10-18 19.46 @ BK Frem Kobenhavn 5 1550 42.56% Nordsjaelland 1 1570 35.52% 21.92%
13 2004-03-27 18.95 @ Midtjylland 6 1621 62.09% AB Copenhagen 0 1481 18.20% 19.71%
14 2003-09-21 18.71 Aarhus GF 4 1576 31.76% @ BK Frem Kobenhavn 1 1585 46.47% 21.77%
15 2003-10-26 18.39 @ Viborg 4 1601 52.00% Aarhus GF 0 1550 26.68% 21.33%
16 2003-10-19 17.84 Aalborg 3 1612 42.66% @ AB Copenhagen 0 1542 35.41% 21.92%
17 2003-08-30 17.65 Herfolge 2 1526 24.10% @ Aalborg 0 1601 54.92% 20.97%
18 2003-11-23 17.36 @ Nordsjaelland 2 1547 24.98% Esbjerg 0 1703 53.92% 21.11%
19 2004-05-13 16.73 @ Herfolge 3 1513 19.25% Esbjerg 1 1728 60.75% 19.99%
20 2003-09-21 16.32 Viborg 4 1610 38.78% @ AB Copenhagen 1 1567 39.26% 21.97%
21 2003-09-28 16.27 Midtjylland 3 1655 20.76% @ Brondby 1 1765 58.89% 20.35%
22 2003-11-02 15.79 Viborg 3 1613 47.81% @ AB Copenhagen 0 1505 30.50% 21.68%
23 2003-08-03 15.37 Aalborg 2 1599 31.45% @ AB Copenhagen 0 1610 46.81% 21.75%
24 2004-04-18 15.16 @ Brondby 4 1755 57.99% Aalborg 0 1654 21.50% 20.51%
25 2003-08-10 14.36 @ Nordsjaelland 2 1580 34.98% Odense 0 1653 43.11% 21.91%