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

12.05 points above expected

57 points · 44.95 expected points

Biggest Disappointment

BK Frem Kobenhavn

11.54 points below expected

27 points · 38.54 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	62.33	+5.67
2	Brondby	33	20	7	6	67	55	29	+26	63.38	+3.62
3	Esbjerg	33	18	8	7	62	71	44	+27	52.56	+9.44
4	Odense	33	16	9	8	57	66	46	+20	52.75	+4.25
5	Aalborg	33	16	9	8	57	55	41	+14	44.95	+12.05
6	Midtjylland	33	14	6	13	48	65	51	+14	51.61	-3.61
7	Viborg	33	11	9	13	42	47	44	+3	44.96	-2.96
8	Aarhus GF	33	11	3	19	36	45	67	-22	37.12	-1.12
9	Nordsjaelland	33	7	11	15	32	35	59	-24	36.73	-4.73
10	Herfolge	33	8	7	18	31	34	57	-23	35.50	-4.50
11	BK Frem Kobenhavn Relegated	33	8	3	22	27	40	65	-25	38.54	-11.54
12	AB Copenhagen* Relegated	33	8	2	23	17	31	70	-39	23.36	-6.36

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)

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	44.95	+12.05
2	Esbjerg	62	52.56	+9.44
3	FC Copenhagen	68	62.33	+5.67
4	Odense	57	52.75	+4.25
5	Brondby	67	63.38	+3.62

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	BK Frem Kobenhavn	27	38.54	-11.54
2	AB Copenhagen	17	23.36	-6.36
3	Nordsjaelland	32	36.73	-4.73
4	Herfolge	31	35.50	-4.50
5	Midtjylland	48	51.61	-3.61

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 consecutive wins or ties; Winless counts consecutive losses or ties.

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 1,385
2	BK Frem Kobenhavn	6	Aug 31 – Oct 5	1 in 171
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

Position Race

Each team’s league position across the whole season. Colored teams are the season’s headline finishers — champion, promoted, and relegated; everyone else is gray as context.

Recent Form

Each team’s last 5 games, hottest first. Form shows the results (navy win, gray draw, red loss, newest on the right); the bars show Elo change over the window, points taken, points expected from the odds, and actual minus expected. Beside each team: current Elo and season points.

Team	Elo	Season Pts	Elo Δ (5)	Points (5)	Expected (5)	Actual − Exp
FC Copenhagen	1800	68	+13	10	9.0	+1.0
Brondby	1776	67	+4	10	9.5	+0.5
Esbjerg	1703	62	-53	3	8.8	-5.8
Aalborg	1684	57	+31	11	7.3	+3.7
Odense	1690	57	+23	9	8.5	+0.5
Midtjylland	1679	48	+7	9	6.8	+2.2
Viborg	1625	42	-30	4	8.3	-4.3
Aarhus GF	1529	36	-2	6	5.9	+0.1
Nordsjaelland	1521	32	-8	3	5.0	-2.0
Herfolge	1510	31	-13	4	5.1	-1.1
BK Frem Kobenhavn	1519	27	+2	6	5.2	+0.8
AB Copenhagen	1493	26	+27	9	4.5	+4.5

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 3.56	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 5.28	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 4.29	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 4.37	—	0-0-3 2.27	0-0-3 2.96	0-0-3 1.99	3-0-0 4.40	1-1-1 2.65	2-0-1 3.94	0-0-3 2.84	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 6.47	2-0-1 5.49	2-1-0 6.10	1-1-1 5.12	1-1-1 5.62
Esbjerg	3-0-0 5.51	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 6.44	2-1-0 3.68	1-1-1 4.89	—	1-2-0 6.36	1-0-2 5.58	3-0-0 6.40	1-1-1 5.17	1-1-1 5.41
Herfolge	1-0-2 4.75	1-1-1 2.97	2-0-1 3.84	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 2.84	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 4.73	0-2-1 3.08	1-1-1 4.06	1-0-2 4.40	0-1-2 2.31	1-1-1 2.89	0-0-3 2.03	0-2-1 4.03	0-1-2 2.79	—	2-1-0 2.87	1-1-1 3.52
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 5.51	—	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 3.67	1-1-1 4.83	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.

View:

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	4.55%	7.83%	8.08%	2.27%	2.27%	0.51%	25.51%
1	7.83%	8.59%	6.82%	4.80%	1.52%	0.76%	30.30%
2	8.08%	6.82%	4.55%	1.77%	1.77%	0.76%	23.74%
3	2.27%	4.80%	1.77%	3.03%	—	0.51%	12.37%
4	2.27%	1.52%	1.77%	—	—	—	5.56%
5+	0.51%	0.76%	0.76%	0.51%	—	—	2.53%
Total	25.51%	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 →	0	1	2	3	4	5+	Total
0	—	12.12%	9.09%	15.15%	—	3.03%	39.39%
1	6.06%	3.03%	9.09%	12.12%	3.03%	—	33.33%
2	6.06%	9.09%	—	—	3.03%	3.03%	21.21%
3	—	3.03%	—	3.03%	—	—	6.06%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	12.12%	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 →	0	1	2	3	4	5+	Total
0	9.09%	6.06%	6.06%	—	3.03%	—	24.24%
1	15.15%	12.12%	—	3.03%	—	—	30.30%
2	6.06%	3.03%	—	3.03%	3.03%	—	15.15%
3	3.03%	9.09%	6.06%	6.06%	—	—	24.24%
4	—	3.03%	—	—	—	—	3.03%
5+	—	—	3.03%	—	—	—	3.03%
Total	33.33%	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 →	0	1	2	3	4	5+	Total
0	—	9.09%	15.15%	—	6.06%	3.03%	33.33%
1	6.06%	3.03%	9.09%	6.06%	3.03%	—	27.27%
2	3.03%	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%
Total	9.09%	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 →	0	1	2	3	4	5+	Total
0	6.06%	9.09%	12.12%	—	3.03%	—	30.30%
1	9.09%	—	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%
Total	15.15%	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 →	0	1	2	3	4	5+	Total
0	6.06%	9.09%	—	—	—	—	15.15%
1	12.12%	9.09%	—	3.03%	—	3.03%	27.27%
2	15.15%	12.12%	6.06%	3.03%	—	—	36.36%
3	9.09%	9.09%	—	—	—	—	18.18%
4	3.03%	—	—	—	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	45.45%	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 →	0	1	2	3	4	5+	Total
0	3.03%	—	9.09%	3.03%	—	—	15.15%
1	3.03%	12.12%	3.03%	3.03%	3.03%	—	24.24%
2	21.21%	3.03%	3.03%	—	—	—	27.27%
3	—	3.03%	3.03%	6.06%	—	—	12.12%
4	6.06%	—	6.06%	—	—	—	12.12%
5+	—	3.03%	3.03%	3.03%	—	—	9.09%
Total	33.33%	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 →	0	1	2	3	4	5+	Total
0	3.03%	9.09%	—	—	—	—	12.12%
1	15.15%	12.12%	3.03%	—	—	—	30.30%
2	21.21%	9.09%	9.09%	—	3.03%	—	42.42%
3	—	3.03%	3.03%	—	—	—	6.06%
4	6.06%	—	3.03%	—	—	—	9.09%
5+	—	—	—	—	—	—	—
Total	45.45%	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 →	0	1	2	3	4	5+	Total
0	3.03%	18.18%	15.15%	3.03%	3.03%	—	42.42%
1	3.03%	9.09%	3.03%	3.03%	3.03%	—	21.21%
2	6.06%	9.09%	6.06%	3.03%	—	3.03%	27.27%
3	—	6.06%	—	3.03%	—	—	9.09%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	12.12%	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 →	0	1	2	3	4	5+	Total
0	3.03%	3.03%	12.12%	—	3.03%	—	21.21%
1	6.06%	9.09%	12.12%	3.03%	—	—	30.30%
2	—	9.09%	—	3.03%	—	—	12.12%
3	6.06%	6.06%	—	6.06%	—	3.03%	21.21%
4	—	6.06%	—	—	—	—	6.06%
5+	3.03%	3.03%	3.03%	—	—	—	9.09%
Total	18.18%	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 →	0	1	2	3	4	5+	Total
0	9.09%	6.06%	3.03%	3.03%	6.06%	—	27.27%
1	3.03%	18.18%	12.12%	6.06%	—	6.06%	45.45%
2	6.06%	9.09%	3.03%	—	3.03%	—	21.21%
3	3.03%	—	—	3.03%	—	—	6.06%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	21.21%	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 →	0	1	2	3	4	5+	Total
0	3.03%	6.06%	3.03%	3.03%	3.03%	—	18.18%
1	6.06%	6.06%	3.03%	6.06%	—	—	21.21%
2	6.06%	6.06%	15.15%	—	—	—	27.27%
3	3.03%	6.06%	—	3.03%	—	—	12.12%
4	6.06%	—	12.12%	—	—	—	18.18%
5+	3.03%	—	—	—	—	—	3.03%
Total	27.27%	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 →	0	1	2	3	4	5+	Total
0	9.09%	6.06%	12.12%	—	—	—	27.27%
1	9.09%	9.09%	9.09%	3.03%	—	—	30.30%
2	6.06%	—	9.09%	3.03%	6.06%	—	24.24%
3	3.03%	—	6.06%	—	—	—	9.09%
4	6.06%	3.03%	—	—	—	—	9.09%
5+	—	—	—	—	—	—	—
Total	33.33%	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

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	1800	68	62.33	+5.67	79.0%	43	48	56	63	67	75	78
Brondby	1776	67	63.38	+3.62	68.0%	48	52	59	64	68	74	76
Esbjerg	1703	62	52.56	+9.44	95.0%	34	41	49	52	57	62	71
Odense	1690	57	52.75	+4.25	76.0%	38	42	47	53	57	64	69
Aalborg	1684	57	44.95	+12.05	97.0%	29	32	41	45	50	56	63
Midtjylland	1679	48	51.61	-3.61	34.0%	33	39	46	52	57	63	68
Viborg	1625	42	44.96	-2.96	35.0%	23	33	40	45	50	56	62
Aarhus GF	1529	36	37.12	-1.12	44.0%	20	22	32	37	42	50	58
Nordsjaelland	1521	32	36.73	-4.73	25.0%	19	24	32	36	41	48	56
BK Frem Kobenhavn	1519	27	38.54	-11.54	7.0%	18	27	34	38	41	55	61
Herfolge	1510	31	35.50	-4.50	33.0%	20	24	30	35	41	47	53
AB Copenhagen	1493	17	23.36	-6.36	18.0%	7	12	18	24	27	36	44

Point 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).

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.

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 8.5% * Slight Edge: 8.5% to 12.5% * Clear Edge: 12.5% to 17.5% * Strong Edge: 17.5% 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%

Clear 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 3 * Top-Heavy: 3 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 0.06 * Tight Race: 0.06 to 0.15 * Comfortable: 0.15 to 0.27 * Runaway: 0.27 and up.

Title-Race Openness

2.7

One-Team Race

134610

Champion Preseason Odds

37%

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 5.93 * Some Luck: 5.93 to 8.89 * Lucky: 8.89 to 11.85 * Wild Swing: 11.85 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 1.2 * Close: 1.2 to 1.8 * Off: 1.8 to 2.4 * Way Off: 2.4 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 0.77 * A Surprise: 0.77 to 1.23 * Several Surprises: 1.23 to 1.69 * Many Surprises: 1.69 and up.

Luck Spread

Expected

6.69 points

Some Luck

07.4119

Average Finish Error

Expected

1.17

Pinpoint

01.504

Biggest Overachiever

Expected 95.83%

97.00%

Aalborg

50100

Biggest Underachiever

Expected 4.17%

7.00%

BK Frem Kobenhavn

050

Season Outliers

Expected

1 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 0.15 * Top-Heavy: 0.15 to 0.17 * Lopsided: 0.17 and up.
Noll-Scully: Take a league where every match is a coin flip and nobody is better than anybody. You would still get a table, with a leader and a bottom club, purely by luck, and you can work out how far apart that table would be. This is the real table measured against it. At 1.00 the season was no more spread out than pure chance; at 2.00 it was twice as spread out, which takes genuine differences in quality. Dividing by the luck figure is what makes seasons of different lengths comparable, because a short season spreads a table by luck alone far more than a long one does. Elo SD in the corner is the same question in rating points: how far apart the teams finished on the ratings.
Coin-Flip Parity: under 1.35 * Moderate Separation: 1.35 to 1.6 * Strong Separation: 1.6 to 1.9 * Wide Separation: 1.9 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 59% * Slight Edge: 59% to 64.5% * Clear Edge: 64.5% to 69% * Wide Edge: 69% 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 79% * Clear Edge: 79% to 85% * Strong Edge: 85% to 88.5% * Dominant: 88.5% 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 54.5% * Some Drama: 54.5% to 58% * Frequent: 58% to 61.5% * Very Frequent: 61.5% 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 15.5% * Occasional: 15.5% to 19% * Frequent: 19% to 23% * Very Frequent: 23% and up.

Gini Index

0.20

Lopsided

00.120.5

Noll-Scully

Elo SD: 109.58

2.18

Wide Separation

0.651.351.61.92.5

Interquartile Edge

73%

Wide Edge

50%59%69%100%

Best vs. Worst

Baseline

85%

Strong Edge

50%90%100%

Close Games

Expected

54%

Few

0%55%100%

Blowouts

Expected

17%

Occasional

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 0.28 * Slight Separation: 0.28 to 0.32 * Notable Separation: 0.32 to 0.37 * Lopsided: 0.37 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 0.5 * Strong Carryover: 0.5 to 0.63 * Near-Lock: 0.63 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 24% * As Expected: 24% to 26.5% * Upset-Prone: 26.5% to 30.5% * Very Upset-Prone: 30.5% 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 20.5% * As Expected: 20.5% to 23.5% * Shaky Favorites: 23.5% to 27% * Very Shaky: 27% and up.

Brier Score

Expected

0.58

Predictable

00.602

Matchup Imbalance

0.33

Notable Separation

00.280.370.5

Strangeness

Expected

0.83

As Expected

01.002

Repeatability

0.65

Near-Lock

00.30.50.631

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

Final Table Odds

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).

Team	1	2	3	4	5	6	7	8	9	10	11	12
FC Copenhagen	37.00%	31.00%	14.00%	9.00%	4.00%	1.00%	3.00%	1.00%	—	—	—	—
Brondby	47.00%	26.00%	17.00%	5.00%	3.00%	2.00%	—	—	—	—	—	—
Esbjerg	5.00%	14.00%	18.00%	18.00%	23.00%	7.00%	6.00%	6.00%	2.00%	—	1.00%	—
Odense	6.00%	11.00%	15.00%	23.00%	15.00%	15.00%	11.00%	2.00%	2.00%	—	—	—
Aalborg	—	3.00%	8.00%	9.00%	11.00%	22.00%	16.00%	12.00%	6.00%	8.00%	5.00%	—
Midtjylland	5.00%	11.00%	17.00%	17.00%	16.00%	14.00%	7.00%	7.00%	3.00%	2.00%	1.00%	—
Viborg	—	3.00%	6.00%	11.00%	13.00%	15.00%	19.00%	13.00%	10.00%	4.00%	5.00%	1.00%
Aarhus GF	—	1.00%	—	2.00%	4.00%	8.00%	11.00%	12.00%	20.00%	21.00%	14.00%	7.00%
Nordsjaelland	—	—	—	2.00%	7.00%	4.00%	8.00%	14.00%	22.00%	16.00%	20.00%	7.00%
Herfolge	—	—	—	1.00%	3.00%	5.00%	6.00%	17.00%	14.00%	22.00%	25.00%	7.00%
BK Frem Kobenhavn	—	—	5.00%	3.00%	1.00%	7.00%	12.00%	14.00%	20.00%	22.00%	14.00%	2.00%
AB Copenhagen	—	—	—	—	—	—	1.00%	2.00%	1.00%	5.00%	15.00%	76.00%

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.

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	100%	—
FC Copenhagen	100%	—
Odense	100%	—
Esbjerg	99.00%	1.00%
Midtjylland	99.00%	1.00%
Aalborg	95.00%	5.00%
Viborg	94.00%	6.00%
BK Frem Kobenhavn	84.00%	16.00%
Aarhus GF	79.00%	21.00%
Nordsjaelland	73.00%	27.00%
Herfolge	68.00%	32.00%
AB Copenhagen	9.00%	91.00%

Filter by Team:

Overall Game Log

Summary of every completed game this season. Sort any column by clicking its header.

Date	Opponent	Score	Excitement	Pre Elo	Opp Elo	Win %	Tie %	Loss %	Proj. Margin	Elo Δ	Points
2003-07-26	FC Copenhagen	L 0-2	53.8	1614	1716	31.23%	21.73%	47.04%	-0.36	-11.1	0
2003-07-26	@ Aalborg	W 2-0	53.8	1716	1614	47.04%	21.73%	31.23%	+0.36	+11.1	3
2003-07-27	Aarhus GF	W 2-0	51.2	1609	1586	48.37%	21.65%	29.98%	+0.42	+10.7	3
2003-07-27	@ Esbjerg	L 0-2	51.2	1586	1609	29.98%	21.65%	48.37%	-0.42	-10.7	0
2003-07-27	AB Copenhagen	D 1-1	70.2	1584	1615	40.94%	21.96%	37.10%	+0.08	-0.1	1
2003-07-27	@ Nordsjaelland	D 1-1	70.2	1615	1584	37.10%	21.96%	40.94%	-0.08	+0.1	1
2003-07-27	BK Frem Kobenhavn	W 2-0	52.1	1633	1609	48.54%	21.63%	29.83%	+0.43	+10.7	3
2003-07-27	@ Odense	L 0-2	52.1	1609	1633	29.83%	21.63%	48.54%	-0.43	-10.7	0
2003-07-27	Herfolge	W 2-0	47.5	1737	1553	66.39%	18.63%	14.98%	+1.43	+5.6	3
2003-07-27	@ Brondby	L 0-2	47.5	1553	1737	14.98%	18.63%	66.39%	-1.43	-5.6	0
2003-07-27	Viborg	D 1-1	71.8	1660	1615	51.20%	21.41%	27.39%	+0.56	-0.9	1
2003-07-27	@ Midtjylland	D 1-1	71.8	1615	1660	27.39%	21.41%	51.20%	-0.56	+0.9	1
2003-08-02	Odense	L 2-4	70.8	1727	1644	55.79%	20.85%	23.36%	+0.79	-13.9	3
2003-08-02	@ FC Copenhagen	W 4-2	70.8	1644	1727	23.36%	20.85%	55.79%	-0.79	+13.9	6
2003-08-03	Aalborg	L 0-2	56.7	1615	1603	46.81%	21.75%	31.45%	+0.35	-15.4	1
2003-08-03	@ AB Copenhagen	W 2-0	56.7	1603	1615	31.45%	21.75%	46.81%	-0.35	+15.4	3
2003-08-03	Brondby	L 0-2	52.2	1598	1742	26.17%	21.26%	52.57%	-0.63	-9.5	0
2003-08-03	@ BK Frem Kobenhavn	W 2-0	52.2	1742	1598	52.57%	21.26%	26.17%	+0.63	+9.5	6
2003-08-03	Esbjerg	D 1-1	71.0	1616	1620	44.70%	21.85%	33.45%	+0.25	-0.4	2
2003-08-03	@ Viborg	D 1-1	71.0	1620	1616	33.45%	21.85%	44.70%	-0.25	+0.4	4
2003-08-03	Midtjylland	L 0-1	55.1	1547	1659	29.91%	21.64%	48.45%	-0.43	-5.7	0
2003-08-03	@ Herfolge	W 1-0	55.1	1659	1547	48.45%	21.64%	29.91%	+0.43	+5.7	4
2003-08-03	Nordsjaelland	D 2-2	74.7	1575	1584	44.01%	21.88%	34.11%	+0.22	-0.3	1
2003-08-03	@ Aarhus GF	D 2-2	74.7	1584	1575	34.11%	21.88%	44.01%	-0.22	+0.3	2
2003-08-09	FC Copenhagen	D 1-1	72.4	1620	1713	32.36%	21.80%	45.84%	-0.30	+0.5	5
2003-08-09	@ Esbjerg	D 1-1	72.4	1713	1620	45.84%	21.80%	32.36%	+0.30	-0.5	4
2003-08-10	Aarhus GF	W 2-0	48.1	1752	1575	65.76%	18.80%	15.44%	+1.38	+5.8	9
2003-08-10	@ Brondby	L 0-2	48.1	1575	1752	15.44%	18.80%	65.76%	-1.38	-5.8	1
2003-08-10	AB Copenhagen	W 3-0	48.4	1665	1599	53.75%	21.13%	25.12%	+0.69	+13.4	7
2003-08-10	@ Midtjylland	L 0-3	48.4	1599	1665	25.12%	21.13%	53.75%	-0.69	-13.4	1
2003-08-10	BK Frem Kobenhavn	L 0-1	60.9	1618	1589	49.23%	21.58%	29.19%	+0.46	-8.5	3
2003-08-10	@ Aalborg	W 1-0	60.9	1589	1618	29.19%	21.58%	49.23%	-0.46	+8.5	3
2003-08-10	Odense	W 2-0	56.2	1584	1658	34.86%	21.91%	43.23%	-0.19	+14.4	5
2003-08-10	@ Nordsjaelland	L 0-2	56.2	1658	1584	43.23%	21.91%	34.86%	+0.19	-14.4	6
2003-08-10	Viborg	W 2-1	63.0	1542	1616	34.84%	21.90%	43.26%	-0.19	+7.2	3
2003-08-10	@ Herfolge	L 1-2	63.0	1616	1542	43.26%	21.90%	34.84%	+0.19	-7.2	2
2003-08-16	Midtjylland	W 5-3	69.2	1569	1678	30.24%	21.66%	48.10%	-0.41	+11.5	4
2003-08-16	@ Aarhus GF	L 3-5	69.2	1678	1569	48.10%	21.66%	30.24%	+0.41	-11.5	7
2003-08-17	Aalborg	D 0-0	67.4	1644	1610	49.71%	21.54%	28.75%	+0.49	-0.9	7
2003-08-17	@ Odense	D 0-0	67.4	1610	1644	28.75%	21.54%	49.71%	-0.49	+0.9	4
2003-08-17	Brondby	D 2-2	78.3	1608	1758	25.62%	21.19%	53.18%	-0.66	+0.8	3
2003-08-17	@ Viborg	D 2-2	78.3	1758	1608	53.18%	21.19%	25.62%	+0.66	-0.8	10
2003-08-17	Esbjerg	L 2-4	64.2	1586	1621	40.35%	21.96%	37.69%	+0.06	-10.5	1
2003-08-17	@ AB Copenhagen	W 4-2	64.2	1621	1586	37.69%	21.96%	40.35%	-0.06	+10.5	8
2003-08-17	Herfolge	W 1-0	52.6	1597	1549	51.58%	21.37%	27.05%	+0.58	+5.2	6
2003-08-17	@ BK Frem Kobenhavn	L 0-1	52.6	1549	1597	27.05%	21.37%	51.58%	-0.58	-5.2	3
2003-08-17	Nordsjaelland	W 2-1	58.5	1712	1598	59.33%	20.27%	20.40%	+0.99	+3.8	7
2003-08-17	@ FC Copenhagen	L 1-2	58.5	1598	1712	20.40%	20.27%	59.33%	-0.99	-3.8	5
2003-08-23	FC Copenhagen	L 0-1	64.2	1757	1716	50.61%	21.46%	27.93%	+0.53	-8.7	10
2003-08-23	@ Brondby	W 1-0	64.2	1716	1757	27.93%	21.46%	50.61%	-0.53	+8.7	10
2003-08-24	Aalborg	W 3-2	66.0	1631	1611	47.99%	21.67%	30.34%	+0.40	+5.1	11
2003-08-24	@ Esbjerg	L 2-3	66.0	1611	1631	30.34%	21.67%	47.99%	-0.40	-5.1	4
2003-08-24	Aarhus GF	W 1-0	54.5	1609	1580	49.07%	21.59%	29.34%	+0.46	+5.6	6
2003-08-24	@ Viborg	L 0-1	54.5	1580	1609	29.34%	21.59%	49.07%	-0.46	-5.6	4
2003-08-24	AB Copenhagen	L 0-2	52.5	1544	1575	40.77%	21.96%	37.28%	+0.08	-13.7	3
2003-08-24	@ Herfolge	W 2-0	52.5	1575	1544	37.28%	21.96%	40.77%	-0.08	+13.7	4
2003-08-24	BK Frem Kobenhavn	L 1-3	60.9	1595	1602	44.18%	21.87%	33.94%	+0.23	-12.7	5
2003-08-24	@ Nordsjaelland	W 3-1	60.9	1602	1595	33.94%	21.87%	44.18%	-0.23	+12.7	9
2003-08-24	Odense	W 2-1	61.8	1667	1643	48.50%	21.64%	29.87%	+0.43	+5.3	10
2003-08-24	@ Midtjylland	L 1-2	61.8	1643	1667	29.87%	21.64%	48.50%	-0.43	-5.3	7
2003-08-30	Herfolge	L 0-2	56.9	1606	1530	54.96%	20.97%	24.07%	+0.75	-17.7	4
2003-08-30	@ Aalborg	W 2-0	56.9	1530	1606	24.07%	20.97%	54.96%	-0.75	+17.7	6
2003-08-31	Aarhus GF	W 4-0	45.4	1725	1575	63.12%	19.47%	17.41%	+1.21	+12.4	13
2003-08-31	@ FC Copenhagen	L 0-4	45.4	1575	1725	17.41%	19.47%	63.12%	-1.21	-12.4	4
2003-08-31	AB Copenhagen	L 1-2	65.6	1615	1589	48.68%	21.62%	29.70%	+0.44	-8.0	9
2003-08-31	@ BK Frem Kobenhavn	W 2-1	65.6	1589	1615	29.70%	21.62%	48.68%	-0.44	+8.0	7
2003-08-31	Brondby	L 0-1	55.0	1582	1748	23.84%	20.93%	55.22%	-0.76	-4.7	5
2003-08-31	@ Nordsjaelland	W 1-0	55.0	1748	1582	55.22%	20.93%	23.84%	+0.76	+4.6	13
2003-08-31	Midtjylland	W 2-0	55.6	1636	1672	40.20%	21.96%	37.84%	+0.05	+12.9	14
2003-08-31	@ Esbjerg	L 0-2	55.6	1672	1636	37.84%	21.96%	40.20%	-0.05	-12.9	10
2003-08-31	Viborg	W 4-2	61.9	1637	1615	48.26%	21.65%	30.09%	+0.42	+8.3	10
2003-08-31	@ Odense	L 2-4	61.9	1615	1637	30.09%	21.65%	48.26%	-0.42	-8.3	6
2003-09-13	Midtjylland	L 0-1	65.0	1737	1659	55.22%	20.93%	23.84%	+0.76	-9.4	13
2003-09-13	@ FC Copenhagen	W 1-0	65.0	1659	1737	23.84%	20.93%	55.22%	-0.76	+9.4	13
2003-09-14	Brondby	L 0-3	49.4	1597	1753	24.93%	21.10%	53.97%	-0.70	-13.3	7
2003-09-14	@ AB Copenhagen	W 3-0	49.4	1753	1597	53.97%	21.10%	24.93%	+0.70	+13.3	16
2003-09-14	Esbjerg	W 2-0	54.1	1646	1649	44.70%	21.85%	33.44%	+0.25	+11.7	13
2003-09-14	@ Odense	L 0-2	54.1	1649	1646	33.44%	21.85%	44.70%	-0.25	-11.7	14
2003-09-14	Herfolge	W 2-1	57.8	1563	1548	47.25%	21.72%	31.03%	+0.37	+5.5	7
2003-09-14	@ Aarhus GF	L 1-2	57.8	1548	1563	31.03%	21.72%	47.25%	-0.37	-5.5	6
2003-09-14	Nordsjaelland	W 1-0	54.6	1588	1577	46.68%	21.75%	31.57%	+0.34	+5.9	7
2003-09-14	@ Aalborg	L 0-1	54.6	1577	1588	31.57%	21.75%	46.68%	-0.34	-5.9	5
2003-09-14	Viborg	L 2-3	69.9	1607	1606	45.30%	21.83%	32.88%	+0.28	-7.1	9
2003-09-14	@ BK Frem Kobenhavn	W 3-2	69.9	1606	1607	32.88%	21.83%	45.30%	-0.28	+7.1	9
2003-09-17	Aalborg	D 1-1	73.6	1766	1594	65.28%	18.93%	15.79%	+1.35	-2.0	17
2003-09-17	@ Brondby	D 1-1	73.6	1594	1766	15.79%	18.93%	65.28%	-1.35	+2.0	8
2003-09-17	AB Copenhagen	W 2-0	51.7	1568	1584	43.03%	21.91%	35.06%	+0.18	+12.2	10
2003-09-17	@ Aarhus GF	L 0-2	51.7	1584	1568	35.06%	21.91%	43.03%	-0.18	-12.2	7
2003-09-17	FC Copenhagen	D 2-2	78.0	1614	1728	29.64%	21.62%	48.75%	-0.44	+0.5	10
2003-09-17	@ Viborg	D 2-2	78.0	1728	1614	48.75%	21.62%	29.64%	+0.44	-0.5	14
2003-09-17	BK Frem Kobenhavn	W 2-0	51.5	1638	1600	50.25%	21.49%	28.26%	+0.51	+10.2	17
2003-09-17	@ Esbjerg	L 0-2	51.5	1600	1638	28.26%	21.49%	50.25%	-0.51	-10.2	9
2003-09-17	Nordsjaelland	D 1-1	71.5	1669	1571	57.47%	20.59%	21.93%	+0.88	-1.4	14
2003-09-17	@ Midtjylland	D 1-1	71.5	1571	1669	21.93%	20.59%	57.47%	-0.88	+1.4	6
2003-09-17	Odense	D 2-2	75.7	1542	1657	29.53%	21.61%	48.86%	-0.45	+0.5	7
2003-09-17	@ Herfolge	D 2-2	75.7	1657	1542	48.86%	21.61%	29.53%	+0.45	-0.5	14
2003-09-20	Brondby	L 0-1	58.0	1657	1764	30.51%	21.68%	47.81%	-0.40	-5.8	14
2003-09-20	@ Odense	W 1-0	58.0	1764	1657	47.81%	21.68%	30.51%	+0.40	+5.8	20
2003-09-20	Esbjerg	D 1-1	70.7	1573	1648	34.69%	21.90%	43.41%	-0.19	+0.3	7
2003-09-20	@ Nordsjaelland	D 1-1	70.7	1648	1573	43.41%	21.90%	34.69%	+0.19	-0.3	18
2003-09-20	Herfolge	D 0-0	68.5	1727	1543	66.48%	18.60%	14.92%	+1.43	-2.3	15
2003-09-20	@ FC Copenhagen	D 0-0	68.5	1543	1727	14.92%	18.60%	66.48%	-1.43	+2.3	8
2003-09-21	Aarhus GF	L 1-4	58.1	1590	1580	46.52%	21.76%	31.72%	+0.34	-18.7	9
2003-09-21	@ BK Frem Kobenhavn	W 4-1	58.1	1580	1590	31.72%	21.76%	46.52%	-0.34	+18.7	13
2003-09-21	Midtjylland	W 1-0	60.1	1596	1667	35.19%	21.91%	42.89%	-0.17	+7.6	11
2003-09-21	@ Aalborg	L 0-1	60.1	1667	1596	42.89%	21.91%	35.19%	+0.17	-7.6	14
2003-09-21	Viborg	L 1-4	56.4	1572	1614	39.26%	21.97%	38.77%	+0.01	-16.3	7
2003-09-21	@ AB Copenhagen	W 4-1	56.4	1614	1572	38.77%	21.97%	39.26%	-0.01	+16.3	13
2003-09-28	Aarhus GF	W 2-1	60.8	1604	1599	45.86%	21.80%	32.34%	+0.30	+5.7	14
2003-09-28	@ Aalborg	L 1-2	60.8	1599	1604	32.34%	21.80%	45.86%	-0.30	-5.7	13
2003-09-28	AB Copenhagen	W 2-1	57.4	1651	1555	57.28%	20.63%	22.10%	+0.87	+4.1	17
2003-09-28	@ Odense	L 1-2	57.4	1555	1651	22.10%	20.63%	57.28%	-0.87	-4.1	7
2003-09-28	BK Frem Kobenhavn	W 2-0	48.4	1725	1571	63.52%	19.38%	17.10%	+1.24	+6.4	18
2003-09-28	@ FC Copenhagen	L 0-2	48.4	1571	1725	17.10%	19.38%	63.52%	-1.24	-6.4	9
2003-09-28	Herfolge	W 2-0	48.2	1648	1545	58.07%	20.50%	21.44%	+0.92	+8.0	21
2003-09-28	@ Esbjerg	L 0-2	48.2	1545	1648	21.44%	20.50%	58.07%	-0.92	-8.0	8
2003-09-28	Midtjylland	L 1-3	67.8	1770	1660	58.90%	20.35%	20.75%	+0.96	-16.3	20
2003-09-28	@ Brondby	W 3-1	67.8	1660	1770	20.75%	20.35%	58.90%	-0.96	+16.3	17
2003-09-28	Viborg	W 2-1	63.4	1573	1630	37.14%	21.96%	40.90%	-0.08	+6.9	10
2003-09-28	@ Nordsjaelland	L 1-2	63.4	1630	1573	40.90%	21.96%	37.14%	+0.08	-6.9	13
2003-10-04	FC Copenhagen	L 0-1	53.9	1551	1732	22.44%	20.69%	56.86%	-0.85	-4.4	7
2003-10-04	@ AB Copenhagen	W 1-0	53.9	1732	1551	56.86%	20.69%	22.44%	+0.85	+4.4	21
2003-10-05	Aalborg	L 2-3	70.8	1624	1609	47.16%	21.73%	31.12%	+0.37	-7.3	13
2003-10-05	@ Viborg	W 3-2	70.8	1609	1624	31.12%	21.73%	47.16%	-0.37	+7.3	17
2003-10-05	Esbjerg	W 3-0	48.8	1754	1656	57.56%	20.58%	21.86%	+0.89	+11.8	23
2003-10-05	@ Brondby	L 0-3	48.8	1656	1754	21.86%	20.58%	57.56%	-0.89	-11.8	21
2003-10-05	BK Frem Kobenhavn	W 4-1	51.4	1676	1565	59.05%	20.32%	20.63%	+0.97	+9.4	20
2003-10-05	@ Midtjylland	L 1-4	51.4	1565	1676	20.63%	20.32%	59.05%	-0.97	-9.4	9
2003-10-05	Nordsjaelland	W 2-1	60.5	1537	1580	39.16%	21.97%	38.87%	+0.01	+6.6	11
2003-10-05	@ Herfolge	L 1-2	60.5	1580	1537	38.87%	21.97%	39.16%	-0.01	-6.6	10
2003-10-05	Odense	L 0-5	51.5	1593	1655	36.49%	21.95%	41.56%	-0.11	-29.4	13
2003-10-05	@ Aarhus GF	W 5-0	51.5	1655	1593	41.56%	21.95%	36.49%	+0.11	+29.4	20
2003-10-18	Nordsjaelland	W 5-1	52.0	1555	1573	42.69%	21.92%	35.39%	+0.16	+19.4	12
2003-10-18	@ BK Frem Kobenhavn	L 1-5	52.0	1573	1555	35.39%	21.92%	42.69%	-0.16	-19.4	10
2003-10-19	Aalborg	L 0-3	49.6	1547	1617	35.42%	21.92%	42.66%	-0.16	-17.8	7
2003-10-19	@ AB Copenhagen	W 3-0	49.6	1617	1547	42.66%	21.92%	35.42%	+0.16	+17.8	20
2003-10-19	Brondby	L 1-2	58.8	1564	1765	20.46%	20.28%	59.26%	-0.99	-3.8	13
2003-10-19	@ Aarhus GF	W 2-1	58.8	1765	1564	59.26%	20.28%	20.46%	+0.99	+3.8	26
2003-10-19	Esbjerg	L 1-2	64.6	1616	1644	41.38%	21.95%	36.67%	+0.10	-7.0	13
2003-10-19	@ Viborg	W 2-1	64.6	1644	1616	36.67%	21.95%	41.38%	-0.10	+6.9	24
2003-10-19	Herfolge	L 0-2	61.0	1685	1544	62.29%	19.66%	18.05%	+1.16	-19.8	20
2003-10-19	@ Midtjylland	W 2-0	61.0	1544	1685	18.05%	19.66%	62.29%	-1.16	+19.8	14
2003-10-19	Odense	D 2-2	78.7	1736	1685	51.97%	21.33%	26.70%	+0.60	-0.7	22
2003-10-19	@ FC Copenhagen	D 2-2	78.7	1685	1736	26.70%	21.33%	51.97%	-0.60	+0.7	21
2003-10-22	Aarhus GF	W 4-2	58.1	1685	1560	60.55%	20.03%	19.42%	+1.06	+5.6	24
2003-10-22	@ Odense	L 2-4	58.1	1560	1685	19.42%	20.03%	60.55%	-1.06	-5.6	13
2003-10-22	AB Copenhagen	W 3-1	52.7	1651	1529	60.16%	20.11%	19.73%	+1.04	+6.4	27
2003-10-22	@ Esbjerg	L 1-3	52.7	1529	1651	19.73%	20.11%	60.16%	-1.04	-6.4	7
2003-10-22	FC Copenhagen	L 0-1	54.4	1563	1735	23.27%	20.84%	55.90%	-0.80	-4.6	14
2003-10-22	@ Herfolge	W 1-0	54.4	1735	1563	55.90%	20.84%	23.27%	+0.80	+4.5	25
2003-10-22	BK Frem Kobenhavn	D 0-0	66.6	1634	1575	53.03%	21.21%	25.76%	+0.65	-1.2	21
2003-10-22	@ Aalborg	D 0-0	66.6	1575	1634	25.76%	21.21%	53.03%	-0.65	+1.2	13
2003-10-22	Midtjylland	L 1-7	51.8	1554	1666	29.97%	21.64%	48.39%	-0.42	-24.5	10
2003-10-22	@ Nordsjaelland	W 7-1	51.8	1666	1554	48.39%	21.64%	29.97%	+0.42	+24.5	23
2003-10-22	Viborg	W 1-0	52.8	1769	1609	64.10%	19.24%	16.66%	+1.28	+3.3	29
2003-10-22	@ Brondby	L 0-1	52.8	1609	1769	16.66%	19.24%	64.10%	-1.28	-3.3	13
2003-10-25	Odense	D 2-2	76.8	1559	1691	27.54%	21.42%	51.04%	-0.55	+0.7	15
2003-10-25	@ Herfolge	D 2-2	76.8	1691	1559	51.04%	21.42%	27.54%	+0.55	-0.7	25
2003-10-26	Aalborg	L 2-3	73.7	1690	1633	52.68%	21.25%	26.07%	+0.63	-8.1	23
2003-10-26	@ Midtjylland	W 3-2	73.7	1633	1690	26.07%	21.25%	52.68%	-0.63	+8.1	24
2003-10-26	Aarhus GF	W 4-0	46.0	1606	1554	52.00%	21.33%	26.68%	+0.60	+18.4	16
2003-10-26	@ Viborg	L 0-4	46.0	1554	1606	26.68%	21.33%	52.00%	-0.60	-18.4	13
2003-10-26	Brondby	L 0-1	51.9	1523	1773	16.54%	19.19%	64.27%	-1.29	-3.3	7
2003-10-26	@ AB Copenhagen	W 1-0	51.9	1773	1523	64.27%	19.19%	16.54%	+1.29	+3.3	32
2003-10-26	Esbjerg	L 0-4	50.0	1576	1657	33.85%	21.87%	44.28%	-0.23	-22.5	13
2003-10-26	@ BK Frem Kobenhavn	W 4-0	50.0	1657	1576	44.28%	21.87%	33.85%	+0.23	+22.5	30
2003-10-26	Nordsjaelland	W 2-0	46.5	1740	1529	68.77%	17.91%	13.32%	+1.59	+5.0	28
2003-10-26	@ FC Copenhagen	L 0-2	46.5	1529	1740	13.32%	17.91%	68.77%	-1.59	-5.0	10
2003-10-29	AB Copenhagen	W 3-1	52.6	1536	1519	47.47%	21.71%	30.82%	+0.38	+9.5	16
2003-10-29	@ Aarhus GF	L 1-3	52.6	1519	1536	30.82%	21.71%	47.47%	-0.38	-9.5	7
2003-10-29	FC Copenhagen	L 0-1	57.9	1641	1745	31.00%	21.72%	47.28%	-0.37	-5.8	24
2003-10-29	@ Aalborg	W 1-0	57.9	1745	1641	47.28%	21.72%	31.00%	+0.37	+5.8	31
2003-10-29	BK Frem Kobenhavn	W 3-1	52.3	1776	1553	69.83%	17.57%	12.60%	+1.67	+4.1	35
2003-10-29	@ Brondby	L 1-3	52.3	1553	1776	12.60%	17.57%	69.83%	-1.67	-4.1	13
2003-10-29	Herfolge	D 1-1	67.0	1524	1559	40.33%	21.96%	37.71%	+0.06	-0.1	11
2003-10-29	@ Nordsjaelland	D 1-1	67.0	1559	1524	37.71%	21.96%	40.33%	-0.06	+0.1	16
2003-10-29	Midtjylland	W 2-0	54.7	1680	1682	44.86%	21.85%	33.30%	+0.26	+11.7	33
2003-10-29	@ Esbjerg	L 0-2	54.7	1682	1680	33.30%	21.85%	44.86%	-0.26	-11.7	23
2003-10-29	Viborg	W 4-2	61.1	1690	1624	53.77%	21.12%	25.11%	+0.69	+7.1	28
2003-10-29	@ Odense	L 2-4	61.1	1624	1690	25.11%	21.12%	53.77%	-0.69	-7.1	16
2003-11-01	Brondby	L 0-2	54.4	1671	1780	30.25%	21.67%	48.08%	-0.41	-10.8	23
2003-11-01	@ Midtjylland	W 2-0	54.4	1780	1671	48.08%	21.67%	30.25%	+0.41	+10.8	38
2003-11-02	Aalborg	D 3-3	79.7	1560	1635	34.57%	21.90%	43.54%	-0.20	+0.2	17
2003-11-02	@ Herfolge	D 3-3	79.7	1635	1560	43.54%	21.90%	34.57%	+0.20	-0.2	25
2003-11-02	Aarhus GF	L 1-2	61.8	1549	1545	45.73%	21.81%	32.46%	+0.30	-7.5	13
2003-11-02	@ BK Frem Kobenhavn	W 2-1	61.8	1545	1549	32.46%	21.81%	45.73%	-0.30	+7.5	19
2003-11-02	Esbjerg	L 0-1	64.7	1751	1691	52.97%	21.22%	25.81%	+0.65	-9.1	31
2003-11-02	@ FC Copenhagen	W 1-0	64.7	1691	1751	25.81%	21.22%	52.97%	-0.65	+9.1	36
2003-11-02	Odense	W 3-0	56.8	1524	1697	23.16%	20.82%	56.02%	-0.81	+26.1	14
2003-11-02	@ Nordsjaelland	L 0-3	56.8	1697	1524	56.02%	20.82%	23.16%	+0.81	-26.1	28
2003-11-02	Viborg	L 0-3	47.0	1510	1617	30.51%	21.68%	47.81%	-0.40	-15.8	7
2003-11-02	@ AB Copenhagen	W 3-0	47.0	1617	1510	47.81%	21.68%	30.51%	+0.40	+15.8	19
2003-11-08	Midtjylland	W 2-1	65.6	1553	1660	30.59%	21.69%	47.73%	-0.39	+7.8	22
2003-11-08	@ Aarhus GF	L 1-2	65.6	1660	1553	47.73%	21.69%	30.59%	+0.39	-7.8	23
2003-11-09	AB Copenhagen	W 1-0	48.9	1671	1494	65.76%	18.80%	15.44%	+1.38	+3.1	31
2003-11-09	@ Odense	L 0-1	48.9	1494	1671	15.44%	18.80%	65.76%	-1.38	-3.1	7
2003-11-09	FC Copenhagen	D 2-2	79.1	1791	1742	51.70%	21.36%	26.95%	+0.58	-0.7	39
2003-11-09	@ Brondby	D 2-2	79.1	1742	1791	26.95%	21.36%	51.70%	-0.58	+0.7	32
2003-11-09	BK Frem Kobenhavn	D 0-0	66.0	1633	1542	56.78%	20.70%	22.51%	+0.85	-1.5	20
2003-11-09	@ Viborg	D 0-0	66.0	1542	1633	22.51%	20.70%	56.78%	-0.85	+1.5	14
2003-11-09	Herfolge	W 2-0	48.3	1700	1560	62.15%	19.70%	18.16%	+1.16	+6.8	39
2003-11-09	@ Esbjerg	L 0-2	48.3	1560	1700	18.16%	19.70%	62.15%	-1.16	-6.8	17
2003-11-09	Nordsjaelland	D 3-3	79.8	1635	1550	56.02%	20.82%	23.16%	+0.81	-0.8	26
2003-11-09	@ Aalborg	D 3-3	79.8	1550	1635	23.16%	20.82%	56.02%	-0.81	+0.8	15
2003-11-22	Brondby	L 1-3	54.5	1553	1790	17.50%	19.50%	63.00%	-1.21	-5.7	17
2003-11-22	@ Herfolge	W 3-1	54.5	1790	1553	63.00%	19.50%	17.50%	+1.21	+5.7	42
2003-11-23	Aarhus GF	D 1-1	73.0	1742	1561	66.16%	18.69%	15.15%	+1.41	-2.1	33
2003-11-23	@ FC Copenhagen	D 1-1	73.0	1561	1742	15.15%	18.69%	66.16%	-1.41	+2.1	23
2003-11-23	AB Copenhagen	L 1-2	61.4	1543	1491	52.07%	21.32%	26.61%	+0.60	-8.4	14
2003-11-23	@ BK Frem Kobenhavn	W 2-1	61.4	1491	1543	26.61%	21.32%	52.07%	-0.60	+8.4	10
2003-11-23	Esbjerg	W 2-0	59.5	1551	1707	24.93%	21.10%	53.97%	-0.70	+17.4	18
2003-11-23	@ Nordsjaelland	L 0-2	59.5	1707	1551	53.97%	21.10%	24.93%	+0.70	-17.4	39
2003-11-23	Odense	W 3-1	61.1	1634	1674	39.62%	21.97%	38.41%	+0.03	+11.3	29
2003-11-23	@ Aalborg	L 1-3	61.1	1674	1634	38.41%	21.97%	39.62%	-0.03	-11.3	31
2003-11-23	Viborg	D 0-0	67.8	1652	1631	47.98%	21.67%	30.35%	+0.40	-0.7	24
2003-11-23	@ Midtjylland	D 0-0	67.8	1631	1652	30.35%	21.67%	47.98%	-0.40	+0.7	21
2003-11-29	Aalborg	W 4-2	62.2	1690	1646	51.03%	21.42%	27.55%	+0.55	+7.7	42
2003-11-29	@ Esbjerg	L 2-4	62.2	1646	1690	27.55%	21.42%	51.03%	-0.55	-7.7	29
2003-11-30	FC Copenhagen	L 0-2	53.9	1632	1740	30.44%	21.68%	47.89%	-0.40	-10.8	21
2003-11-30	@ Viborg	W 2-0	53.9	1740	1632	47.89%	21.68%	30.44%	+0.40	+10.8	36
2003-11-30	BK Frem Kobenhavn	W 2-1	56.2	1663	1535	60.86%	19.97%	19.17%	+1.08	+3.6	34
2003-11-30	@ Odense	L 1-2	56.2	1535	1663	19.17%	19.97%	60.86%	-1.08	-3.6	14
2003-11-30	Herfolge	L 1-3	59.5	1563	1547	47.35%	21.71%	30.94%	+0.37	-13.4	23
2003-11-30	@ Aarhus GF	W 3-1	59.5	1547	1563	30.94%	21.71%	47.35%	-0.37	+13.4	20
2003-11-30	Midtjylland	D 3-3	78.8	1499	1651	25.36%	21.16%	53.48%	-0.67	+0.7	11
2003-11-30	@ AB Copenhagen	D 3-3	78.8	1651	1499	53.48%	21.16%	25.36%	+0.67	-0.7	25
2003-11-30	Nordsjaelland	W 2-1	55.8	1796	1569	70.21%	17.44%	12.35%	+1.70	+2.3	45
2003-11-30	@ Brondby	L 1-2	55.8	1569	1796	12.35%	17.44%	70.21%	-1.70	-2.3	18
2003-12-06	Aarhus GF	L 1-3	59.7	1566	1549	47.51%	21.70%	30.79%	+0.38	-13.5	18
2003-12-06	@ Nordsjaelland	W 3-1	59.7	1549	1566	30.79%	21.70%	47.51%	-0.38	+13.5	26
2003-12-07	AB Copenhagen	W 3-1	50.5	1751	1500	72.16%	16.75%	11.09%	+1.85	+3.6	39
2003-12-07	@ FC Copenhagen	L 1-3	50.5	1500	1751	11.09%	16.75%	72.16%	-1.85	-3.6	11
2003-12-07	Brondby	D 1-1	73.5	1638	1798	24.50%	21.04%	54.47%	-0.72	+1.2	30
2003-12-07	@ Aalborg	D 1-1	73.5	1798	1638	54.47%	21.04%	24.50%	+0.72	-1.2	46
2003-12-07	BK Frem Kobenhavn	D 3-3	79.9	1650	1531	59.91%	20.16%	19.93%	+1.02	-1.0	26
2003-12-07	@ Midtjylland	D 3-3	79.9	1531	1650	19.93%	20.16%	59.91%	-1.02	+1.0	15
2003-12-07	Odense	D 3-3	82.3	1697	1667	49.35%	21.57%	29.08%	+0.47	-0.5	43
2003-12-07	@ Esbjerg	D 3-3	82.3	1667	1697	29.08%	21.57%	49.35%	-0.47	+0.5	35
2003-12-07	Viborg	L 0-1	56.6	1561	1621	36.66%	21.95%	41.39%	-0.10	-6.7	20
2003-12-07	@ Herfolge	W 1-0	56.6	1621	1561	41.39%	21.95%	36.66%	+0.10	+6.7	24
2004-03-13	FC Copenhagen	L 1-2	57.6	1532	1755	18.67%	19.84%	61.49%	-1.12	-3.5	15
2004-03-13	@ BK Frem Kobenhavn	W 2-1	57.6	1755	1532	61.49%	19.84%	18.67%	+1.12	+3.5	42
2004-03-14	Aalborg	L 0-1	56.4	1563	1639	34.52%	21.89%	43.59%	-0.20	-6.4	26
2004-03-14	@ Aarhus GF	W 1-0	56.4	1639	1563	43.59%	21.89%	34.52%	+0.20	+6.4	33
2004-03-14	Esbjerg	L 1-6	62.7	1797	1697	57.75%	20.55%	21.70%	+0.90	-35.7	46
2004-03-14	@ Brondby	W 6-1	62.7	1697	1797	21.70%	20.55%	57.75%	-0.90	+35.7	46
2004-03-14	Herfolge	L 1-2	57.7	1497	1554	37.12%	21.96%	40.92%	-0.08	-6.4	11
2004-03-14	@ AB Copenhagen	W 2-1	57.7	1554	1497	40.92%	21.96%	37.12%	+0.08	+6.4	23
2004-03-14	Midtjylland	W 4-0	50.2	1667	1650	47.60%	21.70%	30.70%	+0.39	+20.7	38
2004-03-14	@ Odense	L 0-4	50.2	1650	1667	30.70%	21.70%	47.60%	-0.39	-20.7	26
2004-03-14	Nordsjaelland	D 0-0	66.1	1628	1553	54.89%	20.98%	24.13%	+0.75	-1.3	25
2004-03-14	@ Viborg	D 0-0	66.1	1553	1628	24.13%	20.98%	54.89%	-0.75	+1.3	19
2004-03-20	Brondby	W 1-0	62.0	1688	1761	34.93%	21.91%	43.16%	-0.18	+7.6	41
2004-03-20	@ Odense	L 0-1	62.0	1761	1688	43.16%	21.91%	34.93%	+0.18	-7.6	46
2004-03-21	Aarhus GF	D 3-3	82.3	1733	1557	65.66%	18.83%	15.51%	+1.38	-1.3	47
2004-03-21	@ Esbjerg	D 3-3	82.3	1557	1733	15.51%	18.83%	65.66%	-1.38	+1.3	27
2004-03-21	AB Copenhagen	W 1-0	48.7	1554	1490	53.54%	21.15%	25.31%	+0.68	+4.9	22
2004-03-21	@ Nordsjaelland	L 0-1	48.7	1490	1554	25.31%	21.15%	53.54%	-0.68	-4.9	11
2004-03-21	BK Frem Kobenhavn	L 0-1	57.6	1560	1529	49.46%	21.56%	28.98%	+0.47	-8.5	23
2004-03-21	@ Herfolge	W 1-0	57.6	1529	1560	28.98%	21.56%	49.46%	-0.47	+8.5	18
2004-03-21	Midtjylland	W 2-1	58.8	1758	1629	60.97%	19.95%	19.08%	+1.08	+3.6	45
2004-03-21	@ FC Copenhagen	L 1-2	58.8	1629	1758	19.08%	19.95%	60.97%	-1.08	-3.6	26
2004-03-21	Viborg	W 2-0	52.8	1646	1627	47.78%	21.69%	30.54%	+0.39	+10.9	36
2004-03-21	@ Aalborg	L 0-2	52.8	1627	1646	30.54%	21.69%	47.78%	-0.39	-10.9	25
2004-03-27	AB Copenhagen	W 6-0	42.8	1625	1485	62.08%	19.71%	18.21%	+1.15	+19.0	29
2004-03-27	@ Midtjylland	L 0-6	42.8	1485	1625	18.21%	19.71%	62.08%	-1.15	-19.0	11
2004-03-28	Aarhus GF	W 1-0	53.7	1552	1558	44.40%	21.86%	33.74%	+0.24	+6.3	26
2004-03-28	@ Herfolge	L 0-1	53.7	1558	1552	33.74%	21.86%	44.40%	-0.24	-6.3	27
2004-03-28	Brondby	D 0-0	68.6	1559	1753	21.12%	20.43%	58.46%	-0.94	+1.6	23
2004-03-28	@ Nordsjaelland	D 0-0	68.6	1753	1559	58.46%	20.43%	21.12%	+0.94	-1.7	47
2004-03-28	Esbjerg	D 1-1	72.9	1657	1731	34.71%	21.90%	43.39%	-0.19	+0.3	37
2004-03-28	@ Aalborg	D 1-1	72.9	1731	1657	43.39%	21.90%	34.71%	+0.19	-0.3	48
2004-03-28	Odense	L 1-3	55.6	1537	1695	24.67%	21.06%	54.27%	-0.71	-7.8	18
2004-03-28	@ BK Frem Kobenhavn	W 3-1	55.6	1695	1537	54.27%	21.06%	24.67%	+0.71	+7.8	44
2004-03-28	Viborg	L 0-1	66.7	1762	1616	62.68%	19.58%	17.74%	+1.19	-10.5	45
2004-03-28	@ FC Copenhagen	W 1-0	66.7	1616	1762	17.74%	19.58%	62.68%	-1.19	+10.5	28
2004-04-03	Herfolge	W 3-0	45.0	1752	1558	67.30%	18.37%	14.34%	+1.49	+7.8	50
2004-04-03	@ Brondby	L 0-3	45.0	1558	1752	14.34%	18.37%	67.30%	-1.49	-7.8	26
2004-04-04	Aalborg	W 3-1	58.2	1703	1657	51.35%	21.39%	27.26%	+0.57	+8.5	47
2004-04-04	@ Odense	L 1-3	58.2	1657	1703	27.26%	21.39%	51.35%	-0.57	-8.6	37
2004-04-04	FC Copenhagen	L 0-2	49.9	1552	1751	20.64%	20.32%	59.04%	-0.97	-7.7	27
2004-04-04	@ Aarhus GF	W 2-0	49.9	1751	1552	59.04%	20.32%	20.64%	+0.97	+7.7	48
2004-04-04	BK Frem Kobenhavn	W 1-0	52.1	1466	1529	36.34%	21.94%	41.72%	-0.12	+7.4	14
2004-04-04	@ AB Copenhagen	L 0-1	52.1	1529	1466	41.72%	21.94%	36.34%	+0.12	-7.4	18
2004-04-04	Midtjylland	D 1-1	71.6	1626	1644	42.76%	21.92%	35.32%	+0.16	-0.3	29
2004-04-04	@ Viborg	D 1-1	71.6	1644	1626	35.32%	21.92%	42.76%	-0.16	+0.3	30
2004-04-04	Nordsjaelland	W 4-0	44.7	1731	1561	65.11%	18.98%	15.92%	+1.34	+11.3	51
2004-04-04	@ Esbjerg	L 0-4	44.7	1561	1731	15.92%	18.98%	65.11%	-1.34	-11.3	23
2004-04-11	BK Frem Kobenhavn	W 3-2	59.7	1759	1522	71.02%	17.16%	11.82%	+1.76	+2.1	51
2004-04-11	@ FC Copenhagen	L 2-3	59.7	1522	1759	11.82%	17.16%	71.02%	-1.76	-2.1	18
2004-04-12	Aarhus GF	W 4-1	50.7	1648	1544	58.27%	20.46%	21.27%	+0.93	+9.7	40
2004-04-12	@ Aalborg	L 1-4	50.7	1544	1648	21.27%	20.46%	58.27%	-0.93	-9.7	27
2004-04-12	AB Copenhagen	L 0-1	56.8	1550	1474	55.05%	20.96%	23.99%	+0.75	-9.4	26
2004-04-12	@ Herfolge	W 1-0	56.8	1474	1550	23.99%	20.96%	55.05%	-0.75	+9.4	17
2004-04-12	Brondby	D 0-0	69.4	1742	1760	42.84%	21.92%	35.24%	+0.17	-0.3	52
2004-04-12	@ Esbjerg	D 0-0	69.4	1760	1742	35.24%	21.92%	42.84%	-0.17	+0.3	51
2004-04-12	Odense	W 3-1	62.8	1644	1712	35.74%	21.93%	42.33%	-0.15	+12.2	33
2004-04-12	@ Midtjylland	L 1-3	62.8	1712	1644	42.33%	21.93%	35.74%	+0.15	-12.2	47
2004-04-12	Viborg	L 0-4	48.9	1549	1626	34.48%	21.89%	43.63%	-0.20	-22.8	23
2004-04-12	@ Nordsjaelland	W 4-0	48.9	1626	1549	43.63%	21.89%	34.48%	+0.20	+22.8	32
2004-04-17	Esbjerg	D 2-2	78.6	1700	1742	39.24%	21.97%	38.80%	+0.01	-0.0	48
2004-04-17	@ Odense	D 2-2	78.6	1742	1700	38.80%	21.97%	39.24%	-0.01	+0.0	53
2004-04-18	Aalborg	W 4-0	48.0	1760	1658	57.99%	20.51%	21.50%	+0.91	+15.2	54
2004-04-18	@ Brondby	L 0-4	48.0	1658	1760	21.50%	20.51%	57.99%	-0.91	-15.2	40
2004-04-18	FC Copenhagen	L 0-2	46.6	1483	1761	14.61%	18.48%	66.91%	-1.46	-5.5	17
2004-04-18	@ AB Copenhagen	W 2-0	46.6	1761	1483	66.91%	18.48%	14.61%	+1.46	+5.5	54
2004-04-18	Herfolge	W 2-0	48.0	1649	1541	58.67%	20.39%	20.94%	+0.95	+7.8	35
2004-04-18	@ Viborg	L 0-2	48.0	1541	1649	20.94%	20.39%	58.67%	-0.95	-7.8	26
2004-04-18	Midtjylland	W 2-1	65.8	1520	1657	27.01%	21.36%	51.63%	-0.58	+8.4	21
2004-04-18	@ BK Frem Kobenhavn	L 1-2	65.8	1657	1520	51.63%	21.36%	27.01%	+0.58	-8.4	33
2004-04-18	Nordsjaelland	L 1-2	60.8	1534	1527	46.25%	21.78%	31.97%	+0.32	-7.6	27
2004-04-18	@ Aarhus GF	W 2-1	60.8	1527	1534	31.97%	21.78%	46.25%	-0.32	+7.6	26
2004-04-24	Brondby	W 3-2	73.6	1657	1775	29.16%	21.58%	49.26%	-0.46	+7.6	38
2004-04-24	@ Viborg	L 2-3	73.6	1775	1657	49.26%	21.58%	29.16%	+0.46	-7.6	54
2004-04-25	Aalborg	L 0-1	54.1	1528	1643	29.62%	21.62%	48.77%	-0.44	-5.6	21
2004-04-25	@ BK Frem Kobenhavn	W 1-0	54.1	1643	1528	48.77%	21.62%	29.62%	+0.44	+5.6	43
2004-04-25	Esbjerg	L 2-5	52.1	1478	1742	15.50%	18.82%	65.68%	-1.38	-6.2	17
2004-04-25	@ AB Copenhagen	W 5-2	52.1	1742	1478	65.68%	18.82%	15.50%	+1.38	+6.2	56
2004-04-25	Herfolge	D 1-1	73.4	1766	1533	70.73%	17.26%	12.01%	+1.74	-2.4	55
2004-04-25	@ FC Copenhagen	D 1-1	73.4	1533	1766	12.01%	17.26%	70.73%	-1.74	+2.4	27
2004-04-25	Nordsjaelland	W 3-0	45.1	1648	1534	59.33%	20.27%	20.40%	+0.99	+11.0	36
2004-04-25	@ Midtjylland	L 0-3	45.1	1534	1648	20.40%	20.27%	59.33%	-0.99	-11.0	26
2004-04-25	Odense	W 1-0	63.1	1527	1700	23.16%	20.82%	56.02%	-0.81	+9.5	30
2004-04-25	@ Aarhus GF	L 0-1	63.1	1700	1527	56.02%	20.82%	23.16%	+0.81	-9.5	48
2004-05-01	FC Copenhagen	L 0-4	52.6	1690	1764	34.85%	21.90%	43.25%	-0.19	-23.0	48
2004-05-01	@ Odense	W 4-0	52.6	1764	1690	43.25%	21.90%	34.85%	+0.19	+23.0	58
2004-05-02	Aarhus GF	W 2-0	46.4	1767	1536	70.57%	17.32%	12.11%	+1.72	+4.5	57
2004-05-02	@ Brondby	L 0-2	46.4	1536	1767	12.11%	17.32%	70.57%	-1.72	-4.5	30
2004-05-02	AB Copenhagen	W 3-1	49.3	1648	1471	65.74%	18.81%	15.45%	+1.38	+5.0	46
2004-05-02	@ Aalborg	L 1-3	49.3	1471	1648	15.45%	18.81%	65.74%	-1.38	-5.0	17
2004-05-02	BK Frem Kobenhavn	W 2-1	56.2	1523	1523	45.31%	21.83%	32.87%	+0.28	+5.8	29
2004-05-02	@ Nordsjaelland	L 1-2	56.2	1523	1523	32.87%	21.83%	45.31%	-0.28	-5.8	21
2004-05-02	Midtjylland	L 1-4	53.2	1535	1659	28.50%	21.52%	49.98%	-0.50	-12.6	27
2004-05-02	@ Herfolge	W 4-1	53.2	1659	1535	49.98%	21.52%	28.50%	+0.50	+12.6	39
2004-05-02	Viborg	W 2-0	51.8	1748	1664	55.93%	20.83%	23.24%	+0.80	+8.6	59
2004-05-02	@ Esbjerg	L 0-2	51.8	1664	1748	23.24%	20.83%	55.93%	-0.80	-8.6	38
2004-05-08	FC Copenhagen	W 2-1	68.6	1672	1787	29.57%	21.61%	48.82%	-0.44	+8.0	42
2004-05-08	@ Midtjylland	L 1-2	68.6	1787	1672	48.82%	21.61%	29.57%	+0.44	-8.0	58
2004-05-09	Aalborg	L 0-1	61.5	1656	1653	45.54%	21.81%	32.65%	+0.29	-8.0	38
2004-05-09	@ Viborg	W 1-0	61.5	1653	1656	32.65%	21.81%	45.54%	-0.29	+8.0	49
2004-05-09	Esbjerg	W 4-1	64.4	1532	1757	18.44%	19.77%	61.79%	-1.13	+24.0	33
2004-05-09	@ Aarhus GF	L 1-4	64.4	1757	1532	61.79%	19.77%	18.44%	+1.13	-24.0	59
2004-05-09	Herfolge	W 3-2	61.3	1517	1523	44.38%	21.87%	33.75%	+0.24	+5.6	24
2004-05-09	@ BK Frem Kobenhavn	L 2-3	61.3	1523	1517	33.75%	21.87%	44.38%	-0.24	-5.6	27
2004-05-09	Nordsjaelland	W 2-1	57.0	1466	1529	36.40%	21.94%	41.65%	-0.12	+7.0	20
2004-05-09	@ AB Copenhagen	L 1-2	57.0	1529	1466	41.65%	21.94%	36.40%	+0.12	-7.0	29
2004-05-09	Odense	D 1-1	73.7	1772	1667	58.33%	20.45%	21.22%	+0.93	-1.5	58
2004-05-09	@ Brondby	D 1-1	73.7	1667	1772	21.22%	20.45%	58.33%	-0.93	+1.5	49
2004-05-13	Aalborg	D 0-0	66.0	1522	1661	26.72%	21.33%	51.95%	-0.60	+1.1	30
2004-05-13	@ Nordsjaelland	D 0-0	66.0	1661	1522	51.95%	21.33%	26.72%	+0.60	-1.1	50
2004-05-13	Aarhus GF	W 5-2	54.0	1680	1556	60.44%	20.06%	19.50%	+1.05	+7.7	45
2004-05-13	@ Midtjylland	L 2-5	54.0	1556	1680	19.50%	20.06%	60.44%	-1.05	-7.7	33
2004-05-13	Brondby	W 1-0	58.9	1779	1771	46.38%	21.77%	31.85%	+0.33	+6.0	61
2004-05-13	@ FC Copenhagen	L 0-1	58.9	1771	1779	31.85%	21.77%	46.38%	-0.33	-6.0	58
2004-05-13	Esbjerg	W 3-1	66.4	1517	1733	19.24%	19.99%	60.77%	-1.07	+16.7	30
2004-05-13	@ Herfolge	L 1-3	66.4	1733	1517	60.77%	19.99%	19.24%	+1.07	-16.7	59
2004-05-13	Odense	L 0-3	44.3	1473	1668	21.04%	20.41%	58.54%	-0.94	-11.4	20
2004-05-13	@ AB Copenhagen	W 3-0	44.3	1668	1473	58.54%	20.41%	21.04%	+0.94	+11.4	52
2004-05-13	Viborg	W 3-1	62.0	1522	1648	28.33%	21.50%	50.17%	-0.51	+14.1	27
2004-05-13	@ BK Frem Kobenhavn	L 1-3	62.0	1648	1522	50.17%	21.50%	28.33%	+0.51	-14.1	38
2004-05-16	AB Copenhagen	L 0-2	58.1	1634	1462	65.23%	18.94%	15.82%	+1.35	-20.6	38
2004-05-16	@ Viborg	W 2-0	58.1	1462	1634	15.82%	18.94%	65.23%	-1.35	+20.6	23
2004-05-16	FC Copenhagen	L 0-2	56.2	1716	1785	35.55%	21.92%	42.53%	-0.15	-12.3	59
2004-05-16	@ Esbjerg	W 2-0	56.2	1785	1716	42.53%	21.92%	35.55%	+0.15	+12.3	64
2004-05-16	BK Frem Kobenhavn	W 1-0	52.2	1548	1537	46.76%	21.75%	31.49%	+0.35	+5.9	36
2004-05-16	@ Aarhus GF	L 0-1	52.2	1537	1548	31.49%	21.75%	46.76%	-0.35	-5.9	27
2004-05-16	Herfolge	W 7-2	49.0	1660	1534	60.65%	20.01%	19.33%	+1.07	+11.7	53
2004-05-16	@ Aalborg	L 2-7	49.0	1534	1660	19.33%	20.01%	60.65%	-1.07	-11.7	30
2004-05-16	Midtjylland	W 2-1	60.9	1765	1688	55.09%	20.95%	23.96%	+0.76	+4.4	61
2004-05-16	@ Brondby	L 1-2	60.9	1688	1765	23.96%	20.95%	55.09%	-0.76	-4.4	45
2004-05-16	Nordsjaelland	D 1-1	71.1	1680	1523	63.79%	19.31%	16.90%	+1.26	-1.9	53
2004-05-16	@ Odense	D 1-1	71.1	1523	1680	16.90%	19.31%	63.79%	-1.26	+1.9	31
2004-05-23	Aalborg	D 1-1	73.9	1797	1672	60.54%	20.04%	19.43%	+1.06	-1.7	65
2004-05-23	@ FC Copenhagen	D 1-1	73.9	1672	1797	19.43%	20.04%	60.54%	-1.06	+1.6	54
2004-05-23	Aarhus GF	W 3-1	55.6	1483	1554	35.22%	21.92%	42.87%	-0.17	+12.4	26
2004-05-23	@ AB Copenhagen	L 1-3	55.6	1554	1483	42.87%	21.92%	35.22%	+0.17	-12.4	36
2004-05-23	Brondby	L 1-3	54.0	1531	1769	17.41%	19.47%	63.12%	-1.21	-5.7	27
2004-05-23	@ BK Frem Kobenhavn	W 3-1	54.0	1769	1531	63.12%	19.47%	17.41%	+1.21	+5.6	64
2004-05-23	Esbjerg	W 2-1	64.4	1683	1704	42.36%	21.93%	35.71%	+0.15	+6.2	48
2004-05-23	@ Midtjylland	L 1-2	64.4	1704	1683	35.71%	21.93%	42.36%	-0.15	-6.2	59
2004-05-23	Nordsjaelland	D 1-1	65.7	1522	1525	44.86%	21.85%	33.30%	+0.26	-0.4	31
2004-05-23	@ Herfolge	D 1-1	65.7	1525	1522	33.30%	21.85%	44.86%	-0.26	+0.4	32
2004-05-23	Odense	D 2-2	77.3	1613	1678	36.08%	21.94%	41.98%	-0.13	+0.2	39
2004-05-23	@ Viborg	D 2-2	77.3	1678	1613	41.98%	21.94%	36.08%	+0.13	-0.2	54
2004-05-29	AB Copenhagen	W 2-1	53.5	1775	1495	74.38%	15.89%	9.73%	+2.03	+1.8	67
2004-05-29	@ Brondby	L 1-2	53.5	1495	1775	9.73%	15.89%	74.38%	-2.03	-1.8	26
2004-05-29	FC Copenhagen	L 2-4	57.4	1525	1796	15.11%	18.68%	66.21%	-1.41	-4.4	32
2004-05-29	@ Nordsjaelland	W 4-2	57.4	1796	1525	66.21%	18.68%	15.11%	+1.41	+4.4	68
2004-05-29	BK Frem Kobenhavn	W 6-3	53.5	1698	1525	65.33%	18.92%	15.75%	+1.36	+5.8	62
2004-05-29	@ Esbjerg	L 3-6	53.5	1525	1698	15.75%	18.92%	65.33%	-1.36	-5.8	27
2004-05-29	Herfolge	W 4-0	43.4	1678	1522	63.70%	19.33%	16.97%	+1.25	+12.1	57
2004-05-29	@ Odense	L 0-4	43.4	1522	1678	16.97%	19.33%	63.70%	-1.25	-12.1	31
2004-05-29	Midtjylland	W 3-1	60.7	1674	1689	43.05%	21.91%	35.04%	+0.18	+10.5	57
2004-05-29	@ Aalborg	L 1-3	60.7	1689	1674	35.04%	21.91%	43.05%	-0.18	-10.6	48
2004-05-29	Viborg	L 0-2	51.8	1541	1613	35.13%	21.91%	42.96%	-0.17	-12.2	36
2004-05-29	@ Aarhus GF	W 2-0	51.8	1613	1541	42.96%	21.91%	35.13%	+0.17	+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
#	Date	Underdog Win %	Team	Elo	Score	Team	Elo	Score
1	2004-05-16	15.82%	AB Copenhagen	1462	2	@ Viborg	1634	0
2	2004-03-28	17.74%	Viborg	1616	1	@ FC Copenhagen	1762	0
3	2003-10-19	18.05%	Herfolge	1544	2	@ Midtjylland	1685	0
4	2004-05-09	18.44%	@ Aarhus GF	1532	4	Esbjerg	1757	1
5	2004-05-13	19.24%	@ Herfolge	1517	3	Esbjerg	1733	1
6	2003-09-28	20.75%	Midtjylland	1660	3	@ Brondby	1770	1
7	2004-03-14	21.70%	Esbjerg	1697	6	@ Brondby	1797	1
8	2003-11-02	23.16%	@ Nordsjaelland	1524	3	Odense	1697	0
9	2004-04-25	23.16%	@ Aarhus GF	1527	1	Odense	1700	0
10	2003-08-02	23.36%	Odense	1644	4	@ FC Copenhagen	1727	2
11	2003-09-13	23.84%	Midtjylland	1659	1	@ FC Copenhagen	1737	0
12	2004-04-12	23.99%	AB Copenhagen	1474	1	@ Herfolge	1550	0
13	2003-08-30	24.07%	Herfolge	1530	2	@ Aalborg	1606	0
14	2003-11-23	24.93%	@ Nordsjaelland	1551	2	Esbjerg	1707	0
15	2003-11-02	25.81%	Esbjerg	1691	1	@ FC Copenhagen	1751	0
16	2003-10-26	26.07%	Aalborg	1633	3	@ Midtjylland	1690	2
17	2003-11-23	26.61%	AB Copenhagen	1491	2	@ BK Frem Kobenhavn	1543	1
18	2004-04-18	27.01%	@ BK Frem Kobenhavn	1520	2	Midtjylland	1657	1
19	2003-08-23	27.93%	FC Copenhagen	1716	1	@ Brondby	1757	0
20	2004-05-13	28.33%	@ BK Frem Kobenhavn	1522	3	Viborg	1648	1
21	2004-03-21	28.98%	BK Frem Kobenhavn	1529	1	@ Herfolge	1560	0
22	2004-04-24	29.16%	@ Viborg	1657	3	Brondby	1775	2
23	2003-08-10	29.19%	BK Frem Kobenhavn	1589	1	@ Aalborg	1618	0
24	2004-05-08	29.57%	@ Midtjylland	1672	2	FC Copenhagen	1787	1
25	2003-08-31	29.70%	AB Copenhagen	1589	2	@ BK Frem Kobenhavn	1615	1

Biggest Elo Changes

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

#	Date	Elo Δ	Winning Team				Losing Team				Tie %
#	Date	Elo Δ	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2004-03-14	35.74	Esbjerg	6	1697	21.70%	@ Brondby	1	1797	57.75%	20.55%
2	2003-10-05	29.42	Odense	5	1655	41.56%	@ Aarhus GF	0	1593	36.49%	21.95%
3	2003-11-02	26.09	@ Nordsjaelland	3	1524	23.16%	Odense	0	1697	56.02%	20.82%
4	2003-10-22	24.54	Midtjylland	7	1666	48.39%	@ Nordsjaelland	1	1554	29.97%	21.64%
5	2004-05-09	24.01	@ Aarhus GF	4	1532	18.44%	Esbjerg	1	1757	61.79%	19.77%
6	2004-05-01	23.00	FC Copenhagen	4	1764	43.25%	@ Odense	0	1690	34.85%	21.90%
7	2004-04-12	22.80	Viborg	4	1626	43.63%	@ Nordsjaelland	0	1549	34.48%	21.89%
8	2003-10-26	22.47	Esbjerg	4	1657	44.28%	@ BK Frem Kobenhavn	0	1576	33.85%	21.87%
9	2004-03-14	20.74	@ Odense	4	1667	47.60%	Midtjylland	0	1650	30.70%	21.70%
10	2004-05-16	20.57	AB Copenhagen	2	1462	15.82%	@ Viborg	0	1634	65.23%	18.94%
11	2003-10-19	19.75	Herfolge	2	1544	18.05%	@ Midtjylland	0	1685	62.29%	19.66%
12	2003-10-18	19.41	@ BK Frem Kobenhavn	5	1555	42.69%	Nordsjaelland	1	1573	35.39%	21.92%
13	2004-03-27	18.96	@ Midtjylland	6	1625	62.08%	AB Copenhagen	0	1485	18.21%	19.71%
14	2003-09-21	18.72	Aarhus GF	4	1580	31.72%	@ BK Frem Kobenhavn	1	1590	46.52%	21.76%
15	2003-10-26	18.40	@ Viborg	4	1606	52.00%	Aarhus GF	0	1554	26.68%	21.33%
16	2003-10-19	17.84	Aalborg	3	1617	42.66%	@ AB Copenhagen	0	1547	35.42%	21.92%
17	2003-08-30	17.66	Herfolge	2	1530	24.07%	@ Aalborg	0	1606	54.96%	20.97%
18	2003-11-23	17.38	@ Nordsjaelland	2	1551	24.93%	Esbjerg	0	1707	53.97%	21.10%
19	2004-05-13	16.73	@ Herfolge	3	1517	19.24%	Esbjerg	1	1733	60.77%	19.99%
20	2003-09-21	16.32	Viborg	4	1614	38.77%	@ AB Copenhagen	1	1572	39.26%	21.97%
21	2003-09-28	16.26	Midtjylland	3	1660	20.75%	@ Brondby	1	1770	58.90%	20.35%
22	2003-11-02	15.78	Viborg	3	1617	47.81%	@ AB Copenhagen	0	1510	30.51%	21.68%
23	2003-08-03	15.36	Aalborg	2	1603	31.45%	@ AB Copenhagen	0	1615	46.81%	21.75%
24	2004-04-18	15.16	@ Brondby	4	1760	57.99%	Aalborg	0	1658	21.50%	20.51%
25	2003-08-10	14.39	@ Nordsjaelland	2	1584	34.86%	Odense	0	1658	43.23%	21.91%

Most & Least Exciting Games

The season’s games ranked by excitement rating (0–100) — a blend of closeness, upset, team quality, and scoring. An asterisk (*) after the date indicates a playoff game.

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2003-12-07	82.3	@ Esbjerg	3	1697	49.35%	Odense	3	1667	29.08%	21.57%
2	2004-03-21	82.3	@ Esbjerg	3	1733	65.66%	Aarhus GF	3	1557	15.51%	18.83%
3	2003-12-07	79.9	@ Midtjylland	3	1650	59.91%	BK Frem Kobenhavn	3	1531	19.93%	20.16%
4	2003-11-09	79.8	@ Aalborg	3	1635	56.02%	Nordsjaelland	3	1550	23.16%	20.82%
5	2003-11-02	79.7	@ Herfolge	3	1560	34.57%	Aalborg	3	1635	43.54%	21.90%
6	2003-11-09	79.1	@ Brondby	2	1791	51.70%	FC Copenhagen	2	1742	26.95%	21.36%
7	2003-11-30	78.8	@ AB Copenhagen	3	1499	25.36%	Midtjylland	3	1651	53.48%	21.16%
8	2003-10-19	78.7	@ FC Copenhagen	2	1736	51.97%	Odense	2	1685	26.70%	21.33%
9	2004-04-17	78.6	@ Odense	2	1700	39.24%	Esbjerg	2	1742	38.80%	21.97%
10	2003-08-17	78.3	@ Viborg	2	1608	25.62%	Brondby	2	1758	53.18%	21.19%
11	2003-09-17	78.0	@ Viborg	2	1614	29.64%	FC Copenhagen	2	1728	48.75%	21.62%
12	2004-05-23	77.3	@ Viborg	2	1613	36.08%	Odense	2	1678	41.98%	21.94%
13	2003-10-25	76.8	@ Herfolge	2	1559	27.54%	Odense	2	1691	51.04%	21.42%
14	2003-09-17	75.7	@ Herfolge	2	1542	29.53%	Odense	2	1657	48.86%	21.61%
15	2003-08-03	74.7	@ Aarhus GF	2	1575	44.01%	Nordsjaelland	2	1584	34.11%	21.88%
16	2004-05-23	73.9	@ FC Copenhagen	1	1797	60.54%	Aalborg	1	1672	19.43%	20.04%
17	2003-10-26	73.7	Aalborg	3	1633	26.07%	@ Midtjylland	2	1690	52.68%	21.25%
18	2004-05-09	73.7	@ Brondby	1	1772	58.33%	Odense	1	1667	21.22%	20.45%
19	2003-09-17	73.6	@ Brondby	1	1766	65.28%	Aalborg	1	1594	15.79%	18.93%
20	2004-04-24	73.6	@ Viborg	3	1657	29.16%	Brondby	2	1775	49.26%	21.58%
21	2003-12-07	73.5	@ Aalborg	1	1638	24.50%	Brondby	1	1798	54.47%	21.04%
22	2004-04-25	73.4	@ FC Copenhagen	1	1766	70.73%	Herfolge	1	1533	12.01%	17.26%
23	2003-11-23	73.0	@ FC Copenhagen	1	1742	66.16%	Aarhus GF	1	1561	15.15%	18.69%
24	2004-03-28	72.9	@ Aalborg	1	1657	34.71%	Esbjerg	1	1731	43.39%	21.90%
25	2003-08-09	72.4	@ Esbjerg	1	1620	32.36%	FC Copenhagen	1	1713	45.84%	21.80%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2004-03-27	42.8	@ Midtjylland	6	1625	62.08%	AB Copenhagen	0	1485	18.21%	19.71%
2	2004-05-29	43.4	@ Odense	4	1678	63.70%	Herfolge	0	1522	16.97%	19.33%
3	2004-05-13	44.3	Odense	3	1668	58.54%	@ AB Copenhagen	0	1473	21.04%	20.41%
4	2004-04-04	44.7	@ Esbjerg	4	1731	65.11%	Nordsjaelland	0	1561	15.92%	18.98%
5	2004-04-03	45.0	@ Brondby	3	1752	67.30%	Herfolge	0	1558	14.34%	18.37%
6	2004-04-25	45.1	@ Midtjylland	3	1648	59.33%	Nordsjaelland	0	1534	20.40%	20.27%
7	2003-08-31	45.4	@ FC Copenhagen	4	1725	63.12%	Aarhus GF	0	1575	17.41%	19.47%
8	2003-10-26	46.0	@ Viborg	4	1606	52.00%	Aarhus GF	0	1554	26.68%	21.33%
9	2004-05-02	46.4	@ Brondby	2	1767	70.57%	Aarhus GF	0	1536	12.11%	17.32%
10	2003-10-26	46.5	@ FC Copenhagen	2	1740	68.77%	Nordsjaelland	0	1529	13.32%	17.91%
11	2004-04-18	46.6	FC Copenhagen	2	1761	66.91%	@ AB Copenhagen	0	1483	14.61%	18.48%
12	2003-11-02	47.0	Viborg	3	1617	47.81%	@ AB Copenhagen	0	1510	30.51%	21.68%
13	2003-07-27	47.5	@ Brondby	2	1737	66.39%	Herfolge	0	1553	14.98%	18.63%
14	2004-04-18	48.0	@ Brondby	4	1760	57.99%	Aalborg	0	1658	21.50%	20.51%
15	2004-04-18	48.0	@ Viborg	2	1649	58.67%	Herfolge	0	1541	20.94%	20.39%
16	2003-08-10	48.1	@ Brondby	2	1752	65.76%	Aarhus GF	0	1575	15.44%	18.80%
17	2003-09-28	48.2	@ Esbjerg	2	1648	58.07%	Herfolge	0	1545	21.44%	20.50%
18	2003-11-09	48.3	@ Esbjerg	2	1700	62.15%	Herfolge	0	1560	18.16%	19.70%
19	2003-08-10	48.4	@ Midtjylland	3	1665	53.75%	AB Copenhagen	0	1599	25.12%	21.13%
20	2003-09-28	48.4	@ FC Copenhagen	2	1725	63.52%	BK Frem Kobenhavn	0	1571	17.10%	19.38%
21	2004-03-21	48.7	@ Nordsjaelland	1	1554	53.54%	AB Copenhagen	0	1490	25.31%	21.15%
22	2003-10-05	48.8	@ Brondby	3	1754	57.56%	Esbjerg	0	1656	21.86%	20.58%
23	2003-11-09	48.9	@ Odense	1	1671	65.76%	AB Copenhagen	0	1494	15.44%	18.80%
24	2004-04-12	48.9	Viborg	4	1626	43.63%	@ Nordsjaelland	0	1549	34.48%	21.89%
25	2004-05-16	49.0	@ Aalborg	7	1660	60.65%	Herfolge	2	1534	19.33%	20.01%