2004-05 Superliga Season

198 games

Final

Champion

Brondby

69 points · 10th Title

Last Title: 2001-02

Relegated

Randers

24 pts

Herfolge · 25 pts

Biggest Overachiever

Midtjylland

6.75 points above expected

57 points · 50.25 expected points

Biggest Disappointment

Herfolge

6.95 points below expected

25 points · 31.95 expected points

League Table

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

#	Team	GP	W	D	L	Pts	GF	GA	GD	SimPts	vsSim
1	Brondby Champion	33	20	9	4	69	61	23	+38	62.66	+6.34
2	FC Copenhagen	33	16	9	8	57	53	39	+14	60.00	-3.00
3	Midtjylland	33	17	6	10	57	49	40	+9	50.25	+6.75
4	Aalborg	33	15	8	10	53	59	45	+14	51.63	+1.37
5	Esbjerg	33	13	10	10	49	61	47	+14	52.03	-3.03
6	Odense	33	13	9	11	48	61	41	+20	51.82	-3.82
7	Viborg	33	13	9	11	48	43	45	-2	47.74	+0.26
8	Silkeborg	33	13	8	12	47	50	52	-2	41.26	+5.74
9	Aarhus GF	33	11	6	16	39	47	53	-6	38.73	+0.27
10	Nordsjaelland	33	8	6	19	30	36	59	-23	32.97	-2.97
11	Herfolge Relegated	33	6	7	20	25	29	71	-42	31.95	-6.95
12	Randers Relegated	33	5	9	19	24	30	64	-34	27.74	-3.74

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.

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	Midtjylland	57	50.25	+6.75
2	Brondby	69	62.66	+6.34
3	Silkeborg	47	41.26	+5.74
4	Aalborg	53	51.63	+1.37
5	Aarhus GF	39	38.73	+0.27

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Herfolge	25	31.95	-6.95
2	Odense	48	51.82	-3.82
3	Randers	24	27.74	-3.74
4	Esbjerg	49	52.03	-3.03
5	FC Copenhagen	57	60.00	-3.00

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	FC Copenhagen	7	Mar 13 – May 1	1 in 87
2	Nordsjaelland	3	Aug 15 – Sep 12	1 in 67
3	Viborg	3	Sep 26 – Oct 17	1 in 24
4	Aalborg	5	Apr 24 – May 19	1 in 20
5	Odense	3	Sep 12 – Sep 22	1 in 18

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Silkeborg	6	Aug 29 – Oct 3	1 in 222
2	Midtjylland	3	Apr 24 – May 8	1 in 88
3	Esbjerg	3	Sep 22 – Oct 3	1 in 49
4	Odense	3	Sep 26 – Oct 16	1 in 33
5	Aalborg	3	Aug 8 – Aug 29	1 in 22

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Brondby	19	Aug 1 – Mar 20	1 in 132
2	Silkeborg	7	Apr 2 – May 8	1 in 108
3	Viborg	7	Sep 22 – Nov 3	1 in 42
4	FC Copenhagen	10	Nov 14 – May 1	1 in 19
5	Randers	4	Apr 3 – Apr 17	1 in 14

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Odense	9	Nov 27 – May 8	1 in 162
2	Viborg	5	Nov 3 – Nov 28	1 in 26
3	Nordsjaelland	11	Sep 19 – Nov 25	1 in 26
4	FC Copenhagen	4	Jul 24 – Aug 15	1 in 18
5	Brondby	4	Mar 13 – Apr 10	1 in 17

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
Brondby	1748	69	+24	13	10.3	+2.7
Midtjylland	1637	57	+20	10	6.9	+3.1
FC Copenhagen	1693	57	-2	8	9.1	-1.1
Aalborg	1637	53	-11	5	6.6	-1.6
Esbjerg	1636	49	-14	5	7.2	-2.2
Odense	1627	48	+9	9	8.2	+0.8
Viborg	1572	48	-3	9	9.0	+0.0
Silkeborg	1548	47	+15	11	7.4	+3.6
Aarhus GF	1508	39	-21	1	5.4	-4.4
Nordsjaelland	1467	30	+12	9	5.8	+3.2
Herfolge	1417	25	-10	2	3.5	-1.5
Randers	1383	24	-19	1	3.7	-2.7

Head-to-Head

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

Beat expectations Fell short Within expectations

Team	AAL	AG	BRO	ESB	FC	HER	MID	NOR	ODE	RAN	SIL	VIB
Aalborg	—	1-1-1 4.77	0-3-0 3.34	1-1-1 3.63	0-1-2 3.23	2-0-1 5.52	1-0-2 4.51	3-0-0 5.95	2-1-0 3.64	2-1-0 6.39	2-0-1 5.50	1-0-2 4.85
Aarhus GF	1-1-1 3.50	—	0-1-2 2.43	1-0-2 2.91	1-0-2 2.31	2-0-1 5.28	2-1-0 3.47	1-1-1 4.32	1-1-1 2.82	2-0-1 4.97	0-1-2 3.77	0-0-3 3.86
Brondby	0-3-0 4.93	2-1-0 5.91	—	1-2-0 4.89	2-0-1 3.87	3-0-0 6.51	1-0-2 5.57	2-1-0 6.70	1-1-1 5.36	3-0-0 7.14	2-1-0 6.13	3-0-0 5.60
Esbjerg	1-1-1 4.63	2-0-1 5.38	0-2-1 3.37	—	0-2-1 3.18	2-1-0 6.10	1-1-1 4.49	2-0-1 5.32	2-0-1 4.43	1-2-0 6.18	1-0-2 4.92	1-1-1 4.32
FC Copenhagen	2-1-0 5.05	2-0-1 6.05	1-0-2 4.38	1-2-0 5.10	—	2-1-0 6.65	1-0-2 4.60	3-0-0 5.93	1-2-0 5.16	2-1-0 6.71	0-1-2 5.69	1-1-1 5.13
Herfolge	1-0-2 2.79	1-0-2 3.01	0-0-3 1.93	0-1-2 2.27	0-1-2 1.81	—	0-0-3 2.77	1-1-1 4.25	0-0-3 2.13	2-1-0 4.32	1-1-1 2.87	0-2-1 3.07
Midtjylland	2-0-1 3.74	0-1-2 4.80	2-0-1 2.74	1-1-1 3.77	2-0-1 3.65	3-0-0 5.55	—	1-1-1 5.76	1-1-1 4.32	3-0-0 6.52	2-1-0 5.18	0-1-2 4.79
Nordsjaelland	0-0-3 2.39	1-1-1 3.94	0-1-2 1.76	1-0-2 2.99	0-0-3 2.43	1-1-1 4.01	1-1-1 2.56	—	0-1-2 2.46	1-1-1 5.11	0-0-3 3.87	3-0-0 2.70
Odense	0-1-2 4.62	1-1-1 5.49	1-1-1 2.93	1-0-2 3.84	0-2-1 3.13	3-0-0 6.26	1-1-1 3.93	2-1-0 5.88	—	2-1-0 6.45	2-0-1 4.67	0-1-2 4.83
Randers	0-1-2 2.03	1-0-2 3.31	0-0-3 1.40	0-2-1 2.19	0-1-2 1.75	0-1-2 3.94	0-0-3 1.91	1-1-1 3.18	0-1-2 1.97	—	2-1-0 3.11	1-1-1 2.12
Silkeborg	1-0-2 2.80	2-1-0 4.51	0-1-2 2.24	2-0-1 3.35	2-1-0 2.64	1-1-1 5.42	0-1-2 3.12	3-0-0 4.37	1-0-2 3.59	0-1-2 5.17	—	1-2-0 3.14
Viborg	2-0-1 3.42	3-0-0 4.39	0-0-3 2.71	1-1-1 3.92	1-1-1 3.14	1-2-0 5.23	2-1-0 3.48	0-0-3 5.62	2-1-0 3.44	1-1-1 6.27	0-2-1 5.16	—

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	0.72	+9.9
Allowed	0.93	-10.3
Differential	0.90	+5.6

Scoreline Distribution

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

View:

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	7.07%	7.32%	5.05%	2.27%	2.53%	0.76%	25.00%
1	7.32%	10.61%	9.34%	3.28%	1.01%	0.76%	32.32%
2	5.05%	9.34%	5.56%	3.54%	1.01%	0.25%	24.75%
3	2.27%	3.28%	3.54%	1.01%	0.51%	0.25%	10.86%
4	2.53%	1.01%	1.01%	0.51%	—	—	5.05%
5+	0.76%	0.76%	0.25%	0.25%	—	—	2.02%
Total	25.00%	32.32%	24.75%	10.86%	5.05%	2.02%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.46	1.46	+0.00
SD	1.29	1.29	1.89
CV	0.88	0.88	—
Max	7	7	+7
Min	0	0	-7

Games Played: 198

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	6.06%	—	—	3.03%	—	12.12%
1	6.06%	15.15%	15.15%	—	3.03%	—	39.39%
2	6.06%	6.06%	3.03%	3.03%	—	—	18.18%
3	6.06%	9.09%	3.03%	3.03%	—	—	21.21%
4	3.03%	—	3.03%	—	—	—	6.06%
5+	—	—	—	3.03%	—	—	3.03%
Total	24.24%	36.36%	24.24%	9.09%	6.06%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.79	1.36	+0.42
SD	1.27	1.14	1.71
CV	0.71	0.84	—
Max	5	4	+4
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	9.09%	—	3.03%	3.03%	—	18.18%
1	3.03%	3.03%	21.21%	12.12%	—	—	39.39%
2	6.06%	12.12%	9.09%	—	—	—	27.27%
3	3.03%	3.03%	3.03%	3.03%	—	—	12.12%
4	3.03%	—	—	—	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	18.18%	27.27%	33.33%	18.18%	3.03%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.42	1.61	-0.18
SD	1.03	1.09	1.70
CV	0.72	0.68	—
Max	4	4	+4
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	12.12%	3.03%	—	3.03%	—	—	18.18%
1	12.12%	9.09%	3.03%	3.03%	—	—	27.27%
2	18.18%	12.12%	3.03%	—	—	—	33.33%
3	—	3.03%	—	3.03%	—	—	6.06%
4	6.06%	3.03%	—	—	—	—	9.09%
5+	6.06%	—	—	—	—	—	6.06%
Total	54.55%	30.30%	6.06%	9.09%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.85	0.70	+1.15
SD	1.58	0.95	1.95
CV	0.86	1.37	—
Max	7	3	+7
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	3.03%	3.03%	—	3.03%	—	18.18%
1	12.12%	9.09%	12.12%	—	—	—	33.33%
2	—	—	12.12%	3.03%	3.03%	—	18.18%
3	3.03%	6.06%	6.06%	—	3.03%	—	18.18%
4	3.03%	3.03%	—	—	—	—	6.06%
5+	—	3.03%	3.03%	—	—	—	6.06%
Total	27.27%	24.24%	36.36%	3.03%	9.09%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.85	1.42	+0.42
SD	1.60	1.20	1.89
CV	0.87	0.84	—
Max	7	4	+5
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	6.06%	3.03%	—	—	3.03%	18.18%
1	9.09%	15.15%	—	3.03%	3.03%	—	30.30%
2	9.09%	12.12%	6.06%	6.06%	—	—	33.33%
3	3.03%	—	6.06%	—	—	—	9.09%
4	9.09%	—	—	—	—	—	9.09%
5+	—	—	—	—	—	—	—
Total	36.36%	33.33%	15.15%	9.09%	3.03%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.61	1.18	+0.42
SD	1.17	1.29	1.92
CV	0.73	1.09	—
Max	4	5	+4
Min	0	0	-5

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	9.09%	12.12%	6.06%	—	6.06%	39.39%
1	9.09%	15.15%	9.09%	3.03%	3.03%	3.03%	42.42%
2	—	3.03%	—	3.03%	3.03%	3.03%	12.12%
3	—	—	3.03%	—	—	—	3.03%
4	—	—	3.03%	—	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	15.15%	27.27%	27.27%	12.12%	6.06%	12.12%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.88	2.15	-1.27
SD	0.96	1.84	2.00
CV	1.09	0.85	—
Max	4	7	+2
Min	0	0	-7

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	3.03%	—	3.03%	3.03%	—	18.18%
1	15.15%	6.06%	12.12%	6.06%	—	—	39.39%
2	6.06%	12.12%	3.03%	3.03%	—	—	24.24%
3	3.03%	9.09%	—	—	—	—	12.12%
4	—	3.03%	—	3.03%	—	—	6.06%
5+	—	—	—	—	—	—	—
Total	33.33%	33.33%	15.15%	15.15%	3.03%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.48	1.21	+0.27
SD	1.12	1.17	1.63
CV	0.76	0.96	—
Max	4	4	+3
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	9.09%	15.15%	—	3.03%	—	36.36%
1	3.03%	3.03%	12.12%	3.03%	—	3.03%	24.24%
2	6.06%	9.09%	6.06%	12.12%	—	—	33.33%
3	—	—	6.06%	—	—	—	6.06%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	18.18%	21.21%	39.39%	15.15%	3.03%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.09	1.79	-0.70
SD	0.98	1.41	1.63
CV	0.90	0.79	—
Max	3	7	+2
Min	0	0	-6

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	6.06%	6.06%	—	—	—	21.21%
1	3.03%	15.15%	12.12%	3.03%	—	—	33.33%
2	3.03%	6.06%	—	3.03%	3.03%	—	15.15%
3	6.06%	3.03%	3.03%	3.03%	—	—	15.15%
4	3.03%	—	3.03%	—	—	—	6.06%
5+	3.03%	6.06%	—	—	—	—	9.09%
Total	27.27%	36.36%	24.24%	9.09%	3.03%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.85	1.24	+0.61
SD	1.72	1.06	2.08
CV	0.93	0.85	—
Max	7	4	+6
Min	0	0	-2

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	12.12%	12.12%	9.09%	9.09%	—	45.45%
1	6.06%	12.12%	6.06%	3.03%	—	3.03%	30.30%
2	—	3.03%	12.12%	3.03%	—	—	18.18%
3	—	—	—	—	—	—	—
4	3.03%	—	—	3.03%	—	—	6.06%
5+	—	—	—	—	—	—	—
Total	12.12%	27.27%	30.30%	18.18%	9.09%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.91	1.94	-1.03
SD	1.10	1.27	1.79
CV	1.21	0.66	—
Max	4	5	+4
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	12.12%	—	3.03%	6.06%	—	27.27%
1	6.06%	12.12%	6.06%	3.03%	—	—	27.27%
2	—	9.09%	6.06%	—	3.03%	—	18.18%
3	3.03%	6.06%	9.09%	—	3.03%	—	21.21%
4	—	3.03%	3.03%	—	—	—	6.06%
5+	—	—	—	—	—	—	—
Total	15.15%	42.42%	24.24%	6.06%	12.12%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.52	1.58	-0.06
SD	1.28	1.20	1.71
CV	0.84	0.76	—
Max	4	4	+3
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	9.09%	9.09%	—	—	—	27.27%
1	3.03%	12.12%	3.03%	—	3.03%	—	21.21%
2	6.06%	27.27%	6.06%	6.06%	—	—	45.45%
3	—	—	3.03%	—	—	3.03%	6.06%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	18.18%	48.48%	21.21%	6.06%	3.03%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.30	1.36	-0.06
SD	0.95	1.14	1.25
CV	0.73	0.84	—
Max	3	5	+2
Min	0	0	-3

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
Brondby	1748	69	62.66	+6.34	86.0%	44	52	58	63	67	72	84
FC Copenhagen	1693	57	60.00	-3.00	36.0%	42	46	54	60	66	72	78
Midtjylland	1637	57	50.25	+6.75	84.0%	36	39	45	50	54	61	69
Aalborg	1637	53	51.63	+1.37	62.0%	37	40	48	51	55	62	68
Esbjerg	1636	49	52.03	-3.03	37.0%	35	38	46	53	57	63	73
Odense	1627	48	51.82	-3.82	33.0%	33	40	47	52	56	63	69
Viborg	1572	48	47.74	+0.26	52.0%	29	35	43	48	53	58	64
Silkeborg	1548	47	41.26	+5.74	78.0%	28	30	36	40	47	54	62
Aarhus GF	1508	39	38.73	+0.27	58.0%	25	28	33	38	43	52	63
Nordsjaelland	1467	30	32.97	-2.97	44.0%	18	24	28	33	37	44	52
Herfolge	1417	25	31.95	-6.95	16.0%	16	20	27	33	36	41	49
Randers	1383	24	27.74	-3.74	35.0%	13	17	23	27	33	38	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

+21.21%

Strong Edge

48.48%24.24%27.27%

Elo Value

Home Edge

155 Elo

0.006 goals per Elo point

074.83400

Scoring Tilt

Expected

+0.61 goals

Home-Tilted

-2+0.48+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

3.1

Top-Heavy

134610

Champion Preseason Odds

46%

Brondby, 1st of 12

LongshotFavorite

Title Margin

Expected

0.36/gm

Runaway

00.180.5/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 5.57 * Some Luck: 5.57 to 8.35 * Lucky: 8.35 to 11.14 * Wild Swing: 11.14 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 1.18 * Close: 1.18 to 1.77 * Off: 1.77 to 2.36 * Way Off: 2.36 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 0.79 * A Surprise: 0.79 to 1.26 * Several Surprises: 1.26 to 1.74 * Many Surprises: 1.74 and up.

Luck Spread

Expected

4.32 points

As Expected

06.9617

Average Finish Error

Expected

0.67

Pinpoint

01.483

Biggest Overachiever

Expected 95.83%

86.00%

Brondby

50100

Biggest Underachiever

Expected 4.17%

16.00%

Herfolge

050

Season Outliers

Expected

0 of 12

Minimal Outliers

01.26

Unexpected Relegations

Expected

0 of 2

As Expected

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

0.16

Top-Heavy

00.120.5

Noll-Scully

Elo SD: 111.54

1.80

Strong Separation

0.651.351.61.92.5

Interquartile Edge

69%

Wide Edge

50%59%69%100%

Best vs. Worst

Baseline

89%

Dominant

50%90%100%

Close Games

Expected

66%

Very Frequent

0%57%100%

Blowouts

Expected

15%

Rare

0%19%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

00.592

Matchup Imbalance

0.38

Lopsided

00.280.370.5

Strangeness

Expected

0.40

Very Predictable

01.002

Repeatability

0.92

Near-Lock

00.30.50.631

Upset Rate

Expected

25%

As Expected

0%24%50%

Clear Favorite Upset Rate

Expected

17%

Solid Favorites

0%20%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

0.25

Well Calibrated

0.010.050.10.51

Calibration slope

Ideal

1.13

Calibrated

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.099

Well Within Noise

00.1220.3

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
Brondby	46.00%	32.00%	14.00%	6.00%	1.00%	—	—	1.00%	—	—	—	—
FC Copenhagen	31.00%	30.00%	10.00%	13.00%	4.00%	6.00%	4.00%	2.00%	—	—	—	—
Midtjylland	3.00%	8.00%	13.00%	10.00%	21.00%	13.00%	19.00%	5.00%	7.00%	1.00%	—	—
Aalborg	3.00%	9.00%	17.00%	12.00%	20.00%	21.00%	10.00%	4.00%	3.00%	1.00%	—	—
Esbjerg	7.00%	11.00%	14.00%	17.00%	17.00%	13.00%	9.00%	9.00%	3.00%	—	—	—
Odense	6.00%	9.00%	20.00%	19.00%	13.00%	10.00%	12.00%	5.00%	5.00%	1.00%	—	—
Viborg	1.00%	1.00%	10.00%	16.00%	13.00%	17.00%	17.00%	15.00%	5.00%	3.00%	2.00%	—
Silkeborg	1.00%	—	1.00%	5.00%	9.00%	10.00%	11.00%	20.00%	18.00%	15.00%	10.00%	—
Aarhus GF	2.00%	—	1.00%	2.00%	1.00%	5.00%	12.00%	19.00%	25.00%	11.00%	16.00%	6.00%
Nordsjaelland	—	—	—	—	1.00%	3.00%	3.00%	7.00%	16.00%	25.00%	30.00%	15.00%
Herfolge	—	—	—	—	—	—	3.00%	11.00%	10.00%	26.00%	25.00%	25.00%
Randers	—	—	—	—	—	2.00%	—	2.00%	8.00%	17.00%	17.00%	54.00%

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
Aalborg	100%	—
Brondby	100%	—
Esbjerg	100%	—
FC Copenhagen	100%	—
Midtjylland	100%	—
Odense	100%	—
Viborg	98.00%	2.00%
Silkeborg	90.00%	10.00%
Aarhus GF	78.00%	22.00%
Nordsjaelland	55.00%	45.00%
Herfolge	50.00%	50.00%
Randers	29.00%	71.00%

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
2004-07-24	FC Copenhagen	D 2-2	74.9	1536	1696	26.57%	24.73%	48.69%	-0.55	+0.5	1
2004-07-24	@ Silkeborg	D 2-2	74.9	1696	1536	48.69%	24.73%	26.57%	+0.55	-0.5	1
2004-07-25	Aarhus GF	D 2-2	67.9	1498	1504	47.14%	24.98%	27.88%	+0.45	-0.4	1
2004-07-25	@ Nordsjaelland	D 2-2	67.9	1504	1498	27.88%	24.98%	47.14%	-0.45	+0.4	1
2004-07-25	Midtjylland	L 1-2	66.1	1612	1613	47.87%	24.87%	27.26%	+0.48	-6.4	0
2004-07-25	@ Aalborg	W 2-1	66.1	1613	1612	27.26%	24.87%	47.87%	-0.48	+6.4	3
2004-07-25	Odense	L 1-2	69.1	1678	1618	55.55%	23.18%	21.28%	+0.87	-7.3	0
2004-07-25	@ Brondby	W 2-1	69.1	1618	1678	21.28%	23.18%	55.55%	-0.87	+7.3	3
2004-07-25	Viborg	D 0-0	60.2	1491	1573	36.42%	25.70%	37.88%	-0.05	+0.0	1
2004-07-25	@ Herfolge	D 0-0	60.2	1573	1491	37.88%	25.70%	36.42%	+0.05	-0.0	1
2004-07-31	Odense	W 2-1	60.5	1619	1625	47.10%	24.99%	27.91%	+0.45	+4.2	6
2004-07-31	@ Midtjylland	L 1-2	60.5	1625	1619	27.91%	24.99%	47.10%	-0.45	-4.2	3
2004-08-01	Aarhus GF	W 3-1	50.3	1536	1504	52.06%	24.06%	23.87%	+0.69	+6.4	4
2004-08-01	@ Silkeborg	L 1-3	50.3	1504	1536	23.87%	24.06%	52.06%	-0.69	-6.4	1
2004-08-01	Esbjerg	D 2-2	76.9	1696	1626	56.64%	22.86%	20.50%	+0.93	-0.9	2
2004-08-01	@ FC Copenhagen	D 2-2	76.9	1626	1696	20.50%	22.86%	56.64%	-0.93	+0.9	1
2004-08-01	Herfolge	L 0-1	48.7	1428	1491	39.21%	25.68%	35.12%	+0.08	-5.8	0
2004-08-01	@ Randers	W 1-0	48.7	1491	1428	35.12%	25.68%	39.21%	-0.08	+5.8	4
2004-08-01	Nordsjaelland	W 2-0	44.2	1606	1498	61.19%	21.33%	17.48%	+1.18	+5.4	3
2004-08-01	@ Aalborg	L 0-2	44.2	1498	1606	17.48%	21.33%	61.19%	-1.18	-5.4	1
2004-08-01	Viborg	W 2-0	48.1	1670	1573	59.97%	21.77%	18.26%	+1.12	+5.7	3
2004-08-01	@ Brondby	L 0-2	48.1	1573	1670	18.26%	21.77%	59.97%	-1.12	-5.7	1
2004-08-07	FC Copenhagen	W 3-2	71.0	1567	1695	30.41%	25.34%	44.25%	-0.34	+5.7	4
2004-08-07	@ Viborg	L 2-3	71.0	1695	1567	44.25%	25.34%	30.41%	+0.34	-5.7	2
2004-08-08	Aalborg	W 2-1	61.7	1497	1611	32.01%	25.50%	42.49%	-0.26	+5.9	7
2004-08-08	@ Herfolge	L 1-2	61.7	1611	1497	42.49%	25.50%	32.01%	+0.26	-5.9	3
2004-08-08	Brondby	D 0-0	64.0	1498	1676	24.67%	24.29%	51.04%	-0.67	+0.9	2
2004-08-08	@ Aarhus GF	D 0-0	64.0	1676	1498	51.04%	24.29%	24.67%	+0.67	-0.9	4
2004-08-08	Midtjylland	W 3-0	49.7	1627	1623	48.43%	24.78%	26.79%	+0.51	+11.8	4
2004-08-08	@ Esbjerg	L 0-3	49.7	1623	1627	26.79%	24.78%	48.43%	-0.51	-11.8	6
2004-08-08	Randers	W 5-1	40.9	1621	1422	70.60%	17.27%	12.13%	+1.77	+5.7	6
2004-08-08	@ Odense	L 1-5	40.9	1422	1621	12.13%	17.27%	70.60%	-1.77	-5.7	0
2004-08-08	Silkeborg	L 2-3	63.8	1492	1543	40.97%	25.60%	33.43%	+0.16	-5.4	1
2004-08-08	@ Nordsjaelland	W 3-2	63.8	1543	1492	33.43%	25.60%	40.97%	-0.16	+5.4	7
2004-08-14	Aarhus GF	L 0-3	42.4	1417	1499	36.43%	25.70%	37.87%	-0.05	-15.1	0
2004-08-14	@ Randers	W 3-0	42.4	1499	1417	37.87%	25.70%	36.43%	+0.05	+15.1	5
2004-08-15	Esbjerg	W 2-1	62.9	1548	1639	35.17%	25.68%	39.15%	-0.11	+5.5	10
2004-08-15	@ Silkeborg	L 1-2	62.9	1639	1548	39.15%	25.68%	35.17%	+0.11	-5.5	4
2004-08-15	Midtjylland	W 2-1	58.5	1675	1611	56.00%	23.05%	20.95%	+0.90	+3.2	7
2004-08-15	@ Brondby	L 1-2	58.5	1611	1675	20.95%	23.05%	56.00%	-0.90	-3.2	6
2004-08-15	Nordsjaelland	L 0-2	50.8	1503	1487	49.95%	24.51%	25.55%	+0.59	-13.3	7
2004-08-15	@ Herfolge	W 2-0	50.8	1487	1503	25.55%	24.51%	49.95%	-0.59	+13.3	4
2004-08-15	Odense	D 1-1	71.1	1689	1626	55.85%	23.09%	21.06%	+0.89	-1.1	3
2004-08-15	@ FC Copenhagen	D 1-1	71.1	1626	1689	21.06%	23.09%	55.85%	-0.89	+1.1	7
2004-08-15	Viborg	L 1-2	66.1	1606	1573	52.12%	24.05%	23.83%	+0.69	-6.9	3
2004-08-15	@ Aalborg	W 2-1	66.1	1573	1606	23.83%	24.05%	52.12%	-0.69	+6.9	7
2004-08-29	Aalborg	W 3-2	62.7	1688	1599	59.01%	22.10%	18.89%	+1.06	+2.8	6
2004-08-29	@ FC Copenhagen	L 2-3	62.7	1599	1688	18.89%	22.10%	59.01%	-1.06	-2.8	3
2004-08-29	Aarhus GF	L 0-2	58.6	1628	1514	61.79%	21.11%	17.10%	+1.22	-15.8	7
2004-08-29	@ Odense	W 2-0	58.6	1514	1628	17.10%	21.11%	61.79%	-1.22	+15.8	8
2004-08-29	Herfolge	W 7-2	45.9	1634	1489	65.14%	19.76%	15.10%	+1.42	+7.5	7
2004-08-29	@ Esbjerg	L 2-7	45.9	1489	1634	15.10%	19.76%	65.14%	-1.42	-7.5	7
2004-08-29	Nordsjaelland	L 0-1	59.2	1580	1500	57.90%	22.47%	19.63%	+1.00	-8.0	7
2004-08-29	@ Viborg	W 1-0	59.2	1500	1580	19.63%	22.47%	57.90%	-1.00	+8.0	7
2004-08-29	Randers	W 3-1	43.4	1608	1402	71.39%	16.88%	11.73%	+1.82	+3.0	9
2004-08-29	@ Midtjylland	L 1-3	43.4	1402	1608	11.73%	16.88%	71.39%	-1.82	-3.0	0
2004-08-29	Silkeborg	W 1-0	50.3	1678	1554	63.04%	20.62%	16.34%	+1.29	+2.7	10
2004-08-29	@ Brondby	L 0-1	50.3	1554	1678	16.34%	20.62%	63.04%	-1.29	-2.7	10
2004-09-11	FC Copenhagen	D 0-0	62.7	1399	1691	15.50%	20.05%	64.45%	-1.41	+1.8	1
2004-09-11	@ Randers	D 0-0	62.7	1691	1399	64.45%	20.05%	15.50%	+1.41	-1.8	7
2004-09-12	Brondby	D 1-1	69.8	1596	1681	35.99%	25.70%	38.32%	-0.07	+0.1	4
2004-09-12	@ Aalborg	D 1-1	69.8	1681	1596	38.32%	25.70%	35.99%	+0.07	-0.1	11
2004-09-12	Esbjerg	W 2-1	63.6	1508	1641	29.73%	25.26%	45.00%	-0.38	+6.1	10
2004-09-12	@ Nordsjaelland	L 1-2	63.6	1641	1508	45.00%	25.26%	29.73%	+0.38	-6.1	7
2004-09-12	Midtjylland	L 0-1	52.2	1482	1611	30.16%	25.32%	44.53%	-0.35	-4.8	7
2004-09-12	@ Herfolge	W 1-0	52.2	1611	1482	44.53%	25.32%	30.16%	+0.35	+4.8	12
2004-09-12	Odense	L 1-2	62.4	1551	1612	39.48%	25.67%	34.85%	+0.09	-5.5	10
2004-09-12	@ Silkeborg	W 2-1	62.4	1612	1551	34.85%	25.67%	39.48%	-0.09	+5.5	10
2004-09-12	Viborg	L 1-2	61.3	1530	1572	42.11%	25.53%	32.36%	+0.21	-5.8	8
2004-09-12	@ Aarhus GF	W 2-1	61.3	1572	1530	32.36%	25.53%	42.11%	-0.21	+5.8	10
2004-09-18	Silkeborg	W 2-1	55.8	1616	1545	56.82%	22.81%	20.38%	+0.94	+3.2	15
2004-09-18	@ Midtjylland	L 1-2	55.8	1545	1616	20.38%	22.81%	56.82%	-0.94	-3.2	10
2004-09-19	Aalborg	W 1-0	53.3	1635	1596	52.95%	23.86%	23.20%	+0.74	+3.8	10
2004-09-19	@ Esbjerg	L 0-1	53.3	1596	1635	23.20%	23.86%	52.95%	-0.74	-3.8	4
2004-09-19	Brondby	L 1-3	65.3	1689	1681	48.92%	24.70%	26.39%	+0.53	-11.3	7
2004-09-19	@ FC Copenhagen	W 3-1	65.3	1681	1689	26.39%	24.70%	48.92%	-0.53	+11.3	14
2004-09-19	Herfolge	W 2-0	42.7	1524	1477	53.93%	23.61%	22.46%	+0.79	+7.0	11
2004-09-19	@ Aarhus GF	L 0-2	42.7	1477	1524	22.46%	23.61%	53.93%	-0.79	-6.9	7
2004-09-19	Nordsjaelland	W 4-0	42.8	1617	1514	60.58%	21.56%	17.87%	+1.15	+10.5	13
2004-09-19	@ Odense	L 0-4	42.8	1514	1617	17.87%	21.56%	60.58%	-1.15	-10.5	10
2004-09-19	Randers	L 0-1	57.4	1578	1400	68.55%	18.24%	13.21%	+1.63	-9.1	10
2004-09-19	@ Viborg	W 1-0	57.4	1400	1578	13.21%	18.24%	68.55%	-1.63	+9.1	4
2004-09-22	Aarhus GF	W 2-1	54.3	1678	1531	65.38%	19.66%	14.96%	+1.43	+2.3	10
2004-09-22	@ FC Copenhagen	L 1-2	54.3	1531	1678	14.96%	19.66%	65.38%	-1.43	-2.3	11
2004-09-22	Herfolge	L 2-4	62.9	1542	1470	57.00%	22.75%	20.25%	+0.95	-11.5	10
2004-09-22	@ Silkeborg	W 4-2	62.9	1470	1542	20.25%	22.75%	57.00%	-0.95	+11.5	10
2004-09-22	Nordsjaelland	D 0-0	66.5	1692	1504	69.65%	17.73%	12.63%	+1.70	-2.1	15
2004-09-22	@ Brondby	D 0-0	66.5	1504	1692	12.63%	17.73%	69.65%	-1.70	+2.1	11
2004-09-22	Odense	L 2-4	68.3	1639	1628	49.35%	24.62%	26.03%	+0.56	-10.2	10
2004-09-22	@ Esbjerg	W 4-2	68.3	1628	1639	26.03%	24.62%	49.35%	-0.56	+10.2	16
2004-09-22	Randers	W 3-0	36.2	1592	1410	69.07%	18.00%	12.93%	+1.67	+5.6	7
2004-09-22	@ Aalborg	L 0-3	36.2	1410	1592	12.93%	18.00%	69.07%	-1.67	-5.6	4
2004-09-22	Viborg	D 1-1	68.8	1619	1569	54.36%	23.50%	22.14%	+0.81	-1.0	16
2004-09-22	@ Midtjylland	D 1-1	68.8	1569	1619	22.14%	23.50%	54.36%	-0.81	+1.0	11
2004-09-25	Brondby	L 1-4	51.2	1482	1690	21.76%	23.36%	54.88%	-0.87	-8.3	10
2004-09-25	@ Herfolge	W 4-1	51.2	1690	1482	54.88%	23.36%	21.76%	+0.87	+8.3	18
2004-09-26	Aalborg	L 1-3	64.6	1638	1598	53.09%	23.82%	23.09%	+0.74	-12.1	16
2004-09-26	@ Odense	W 3-1	64.6	1598	1638	23.09%	23.82%	53.09%	-0.74	+12.1	10
2004-09-26	Esbjerg	W 2-0	53.2	1570	1629	39.76%	25.66%	34.59%	+0.10	+10.0	14
2004-09-26	@ Viborg	L 0-2	53.2	1629	1570	34.59%	25.66%	39.76%	-0.10	-10.0	10
2004-09-26	FC Copenhagen	L 1-2	58.3	1506	1680	25.13%	24.40%	50.47%	-0.64	-3.8	11
2004-09-26	@ Nordsjaelland	W 2-1	58.3	1680	1506	50.47%	24.40%	25.13%	+0.64	+3.9	13
2004-09-26	Midtjylland	W 3-1	58.8	1529	1618	35.40%	25.68%	38.92%	-0.09	+9.5	14
2004-09-26	@ Aarhus GF	L 1-3	58.8	1618	1529	38.92%	25.68%	35.40%	+0.09	-9.5	16
2004-09-26	Silkeborg	W 4-3	63.9	1404	1531	30.47%	25.35%	44.18%	-0.34	+5.6	7
2004-09-26	@ Randers	L 3-4	63.9	1531	1404	44.18%	25.35%	30.47%	+0.34	-5.6	10
2004-10-02	Herfolge	W 2-0	42.6	1684	1473	71.74%	16.71%	11.55%	+1.85	+3.4	16
2004-10-02	@ FC Copenhagen	L 0-2	42.6	1473	1684	11.55%	16.71%	71.74%	-1.85	-3.4	10
2004-10-03	Aarhus GF	L 1-2	66.8	1619	1538	57.99%	22.44%	19.57%	+1.01	-7.5	10
2004-10-03	@ Esbjerg	W 2-1	66.8	1538	1619	19.57%	22.44%	57.99%	-1.01	+7.5	17
2004-10-03	Nordsjaelland	D 1-1	67.3	1609	1502	60.99%	21.41%	17.60%	+1.17	-1.4	17
2004-10-03	@ Midtjylland	D 1-1	67.3	1502	1609	17.60%	21.41%	60.99%	-1.17	+1.4	12
2004-10-03	Randers	W 2-0	39.1	1699	1409	78.58%	13.12%	8.30%	+2.36	+2.3	21
2004-10-03	@ Brondby	L 0-2	39.1	1409	1699	8.30%	13.12%	78.58%	-2.36	-2.3	7
2004-10-03	Silkeborg	W 1-0	49.3	1610	1525	58.50%	22.27%	19.23%	+1.03	+3.2	13
2004-10-03	@ Aalborg	L 0-1	49.3	1525	1610	19.23%	22.27%	58.50%	-1.03	-3.2	10
2004-10-03	Viborg	L 0-2	58.6	1626	1580	53.83%	23.64%	22.53%	+0.78	-14.2	16
2004-10-03	@ Odense	W 2-0	58.6	1580	1626	22.53%	23.64%	53.83%	-0.78	+14.2	17
2004-10-16	Odense	W 2-1	58.0	1701	1612	59.02%	22.10%	18.88%	+1.06	+2.9	24
2004-10-16	@ Brondby	L 1-2	58.0	1612	1701	18.88%	22.10%	59.02%	-1.06	-2.9	16
2004-10-17	Aalborg	D 2-2	73.0	1546	1613	38.53%	25.69%	35.78%	+0.05	-0.1	18
2004-10-17	@ Aarhus GF	D 2-2	73.0	1613	1546	35.78%	25.69%	38.53%	-0.05	+0.1	14
2004-10-17	Esbjerg	L 2-3	64.1	1504	1611	32.94%	25.57%	41.48%	-0.21	-4.6	12
2004-10-17	@ Nordsjaelland	W 3-2	64.1	1611	1504	41.48%	25.57%	32.94%	+0.21	+4.6	13
2004-10-17	FC Copenhagen	W 4-1	60.7	1522	1687	26.05%	24.62%	49.33%	-0.58	+16.2	13
2004-10-17	@ Silkeborg	L 1-4	60.7	1687	1522	49.33%	24.62%	26.05%	+0.58	-16.1	16
2004-10-17	Midtjylland	W 2-1	60.0	1594	1607	46.10%	25.13%	28.77%	+0.40	+4.3	20
2004-10-17	@ Viborg	L 1-2	60.0	1607	1594	28.77%	25.13%	46.10%	-0.40	-4.3	17
2004-10-17	Randers	W 3-2	51.5	1470	1407	55.88%	23.08%	21.04%	+0.89	+3.1	13
2004-10-17	@ Herfolge	L 2-3	51.5	1407	1470	21.04%	23.08%	55.88%	-0.89	-3.1	7
2004-10-20	Esbjerg	D 1-1	63.5	1404	1616	21.51%	23.27%	55.22%	-0.88	+1.1	8
2004-10-20	@ Randers	D 1-1	63.5	1616	1404	55.22%	23.27%	21.51%	+0.88	-1.1	14
2004-10-23	Brondby	L 0-2	43.2	1405	1704	15.09%	19.76%	65.16%	-1.45	-4.6	8
2004-10-23	@ Randers	W 2-0	43.2	1704	1405	65.16%	19.76%	15.09%	+1.45	+4.6	27
2004-10-24	Aarhus GF	W 3-1	52.8	1615	1546	56.63%	22.86%	20.51%	+0.93	+5.5	17
2004-10-24	@ Esbjerg	L 1-3	52.8	1546	1615	20.51%	22.86%	56.63%	-0.93	-5.5	18
2004-10-24	Herfolge	W 3-0	40.6	1613	1473	64.69%	19.95%	15.36%	+1.39	+6.8	17
2004-10-24	@ Aalborg	L 0-3	40.6	1473	1613	15.36%	19.95%	64.69%	-1.39	-6.8	13
2004-10-24	Nordsjaelland	W 2-0	44.3	1603	1499	60.70%	21.51%	17.79%	+1.16	+5.5	20
2004-10-24	@ Midtjylland	L 0-2	44.3	1499	1603	17.79%	21.51%	60.70%	-1.16	-5.5	12
2004-10-24	Silkeborg	W 3-0	44.8	1609	1538	56.82%	22.80%	20.37%	+0.94	+9.2	19
2004-10-24	@ Odense	L 0-3	44.8	1538	1609	20.37%	22.80%	56.82%	-0.94	-9.2	13
2004-10-24	Viborg	D 0-0	66.3	1671	1598	57.07%	22.73%	20.20%	+0.95	-1.3	17
2004-10-24	@ FC Copenhagen	D 0-0	66.3	1598	1671	20.20%	22.73%	57.07%	-0.95	+1.3	21
2004-10-30	FC Copenhagen	L 2-3	62.8	1493	1670	24.89%	24.34%	50.77%	-0.66	-3.6	12
2004-10-30	@ Nordsjaelland	W 3-2	62.8	1670	1493	50.77%	24.34%	24.89%	+0.66	+3.6	20
2004-10-30	Midtjylland	D 2-2	72.7	1540	1608	38.40%	25.69%	35.90%	+0.04	-0.1	19
2004-10-30	@ Aarhus GF	D 2-2	72.7	1608	1540	35.90%	25.69%	38.40%	-0.04	+0.1	21
2004-10-31	Brondby	L 0-1	53.9	1529	1708	24.54%	24.25%	51.20%	-0.68	-4.0	13
2004-10-31	@ Silkeborg	W 1-0	53.9	1708	1529	51.20%	24.25%	24.54%	+0.68	+4.0	30
2004-10-31	Esbjerg	D 1-1	65.4	1466	1620	27.28%	24.87%	47.85%	-0.51	+0.6	14
2004-10-31	@ Herfolge	D 1-1	65.4	1620	1466	47.85%	24.87%	27.28%	+0.51	-0.6	18
2004-10-31	Odense	W 1-0	55.3	1600	1618	45.41%	25.22%	29.38%	+0.37	+4.7	24
2004-10-31	@ Viborg	L 0-1	55.3	1618	1600	29.38%	25.22%	45.41%	-0.37	-4.7	19
2004-10-31	Randers	D 1-1	65.7	1620	1401	72.60%	16.28%	11.12%	+1.90	-2.0	18
2004-10-31	@ Aalborg	D 1-1	65.7	1401	1620	11.12%	16.28%	72.60%	-1.90	+2.0	9
2004-11-03	Aalborg	W 2-1	61.6	1540	1618	37.02%	25.70%	37.27%	-0.02	+5.3	22
2004-11-03	@ Aarhus GF	L 1-2	61.6	1618	1540	37.27%	25.70%	37.02%	+0.02	-5.3	18
2004-11-03	Brondby	D 2-2	76.1	1619	1712	34.91%	25.67%	39.42%	-0.12	+0.1	19
2004-11-03	@ Esbjerg	D 2-2	76.1	1712	1619	39.42%	25.67%	34.91%	+0.12	-0.1	31
2004-11-03	FC Copenhagen	W 2-0	55.0	1608	1673	38.92%	25.68%	35.40%	+0.07	+10.2	24
2004-11-03	@ Midtjylland	L 0-2	55.0	1673	1608	35.40%	25.68%	38.92%	-0.07	-10.2	20
2004-11-03	Herfolge	W 5-0	40.3	1613	1467	65.36%	19.67%	14.97%	+1.43	+10.7	22
2004-11-03	@ Odense	L 0-5	40.3	1467	1613	14.97%	19.67%	65.36%	-1.43	-10.7	14
2004-11-03	Randers	D 2-2	64.9	1490	1403	58.80%	22.18%	19.03%	+1.05	-1.0	13
2004-11-03	@ Nordsjaelland	D 2-2	64.9	1403	1490	19.03%	22.18%	58.80%	-1.05	+1.0	10
2004-11-03	Silkeborg	D 1-1	67.5	1604	1525	57.85%	22.48%	19.66%	+1.00	-1.2	25
2004-11-03	@ Viborg	D 1-1	67.5	1525	1604	19.66%	22.48%	57.85%	-1.00	+1.2	14
2004-11-06	Aalborg	L 2-3	71.6	1620	1613	48.80%	24.72%	26.49%	+0.53	-6.2	19
2004-11-06	@ Esbjerg	W 3-2	71.6	1613	1620	26.49%	24.72%	48.80%	-0.53	+6.2	21
2004-11-06	Viborg	W 1-0	52.1	1712	1603	61.32%	21.29%	17.40%	+1.19	+2.9	34
2004-11-06	@ Brondby	L 0-1	52.1	1603	1712	17.40%	21.29%	61.32%	-1.19	-2.9	25
2004-11-07	Aarhus GF	L 2-3	74.0	1663	1545	62.25%	20.93%	16.82%	+1.25	-7.6	20
2004-11-07	@ FC Copenhagen	W 3-2	74.0	1545	1663	16.82%	20.93%	62.25%	-1.25	+7.6	25
2004-11-07	Herfolge	W 1-0	44.8	1619	1456	67.03%	18.94%	14.03%	+1.54	+2.2	27
2004-11-07	@ Midtjylland	L 0-1	44.8	1456	1619	14.03%	18.94%	67.03%	-1.54	-2.3	14
2004-11-07	Nordsjaelland	W 7-1	44.5	1624	1489	64.15%	20.18%	15.68%	+1.36	+11.0	25
2004-11-07	@ Odense	L 1-7	44.5	1489	1624	15.68%	20.18%	64.15%	-1.36	-11.0	13
2004-11-07	Silkeborg	W 4-0	44.6	1404	1526	30.99%	25.41%	43.60%	-0.31	+22.7	13
2004-11-07	@ Randers	L 0-4	44.6	1526	1404	43.60%	25.41%	30.99%	+0.31	-22.7	14
2004-11-13	Midtjylland	W 2-1	60.3	1619	1621	47.62%	24.91%	27.47%	+0.47	+4.2	24
2004-11-13	@ Aalborg	L 1-2	60.3	1621	1619	27.47%	24.91%	47.62%	-0.47	-4.2	27
2004-11-13	Silkeborg	D 1-1	66.9	1600	1504	59.87%	21.81%	18.32%	+1.11	-1.3	26
2004-11-13	@ Viborg	D 1-1	66.9	1504	1600	18.32%	21.81%	59.87%	-1.11	+1.3	15
2004-11-14	Brondby	L 0-1	50.9	1478	1715	19.35%	22.34%	58.31%	-1.05	-3.2	13
2004-11-14	@ Nordsjaelland	W 1-0	50.9	1715	1478	58.31%	22.34%	19.35%	+1.05	+3.2	37
2004-11-14	FC Copenhagen	L 0-1	49.9	1454	1655	22.41%	23.60%	53.99%	-0.82	-3.7	14
2004-11-14	@ Herfolge	W 1-0	49.9	1655	1454	53.99%	23.60%	22.41%	+0.82	+3.7	23
2004-11-14	Odense	D 3-3	77.8	1553	1635	36.43%	25.70%	37.87%	-0.05	+0.0	26
2004-11-14	@ Aarhus GF	D 3-3	77.8	1635	1553	37.87%	25.70%	36.43%	+0.05	-0.0	26
2004-11-14	Randers	W 1-0	42.8	1613	1426	69.52%	17.79%	12.69%	+1.70	+2.0	22
2004-11-14	@ Esbjerg	L 0-1	42.8	1426	1613	12.69%	17.79%	69.52%	-1.70	-2.0	13
2004-11-20	Esbjerg	W 4-3	68.0	1617	1615	48.07%	24.84%	27.09%	+0.49	+3.8	30
2004-11-20	@ Midtjylland	L 3-4	68.0	1615	1617	27.09%	24.84%	48.07%	-0.49	-3.8	22
2004-11-20	Herfolge	W 2-0	41.2	1635	1450	69.27%	17.90%	12.82%	+1.68	+3.8	29
2004-11-20	@ Odense	L 0-2	41.2	1450	1635	12.82%	17.90%	69.27%	-1.68	-3.8	14
2004-11-21	Aalborg	W 4-0	48.5	1659	1623	52.57%	23.95%	23.48%	+0.72	+13.7	26
2004-11-21	@ FC Copenhagen	L 0-4	48.5	1623	1659	23.48%	23.95%	52.57%	-0.72	-13.7	24
2004-11-21	Aarhus GF	W 4-0	43.9	1718	1553	67.34%	18.80%	13.86%	+1.56	+8.0	40
2004-11-21	@ Brondby	L 0-4	43.9	1553	1718	13.86%	18.80%	67.34%	-1.56	-8.0	26
2004-11-25	Nordsjaelland	W 2-1	51.1	1505	1475	51.82%	24.12%	24.06%	+0.68	+3.7	18
2004-11-25	@ Silkeborg	L 1-2	51.1	1475	1505	24.06%	24.12%	51.82%	-0.68	-3.7	13
2004-11-25	Viborg	D 2-2	68.9	1424	1599	25.04%	24.38%	50.58%	-0.65	+0.6	14
2004-11-25	@ Randers	D 2-2	68.9	1599	1424	50.58%	24.38%	25.04%	+0.65	-0.6	27
2004-11-27	FC Copenhagen	D 1-1	69.9	1612	1673	39.41%	25.67%	34.92%	+0.09	-0.1	23
2004-11-27	@ Esbjerg	D 1-1	69.9	1673	1612	34.92%	25.67%	39.41%	-0.09	+0.1	27
2004-11-27	Odense	D 1-1	69.5	1609	1639	43.88%	25.38%	30.74%	+0.29	-0.4	25
2004-11-27	@ Aalborg	D 1-1	69.5	1639	1609	30.74%	25.38%	43.88%	-0.29	+0.4	30
2004-11-28	Brondby	L 1-2	54.2	1446	1726	16.28%	20.58%	63.14%	-1.33	-2.5	14
2004-11-28	@ Herfolge	W 2-1	54.2	1726	1446	63.14%	20.58%	16.28%	+1.33	+2.5	43
2004-11-28	Randers	W 2-1	48.0	1621	1425	70.36%	17.39%	12.25%	+1.75	+1.8	33
2004-11-28	@ Midtjylland	L 1-2	48.0	1425	1621	12.25%	17.39%	70.36%	-1.75	-1.8	14
2004-11-28	Silkeborg	L 1-3	59.4	1545	1509	52.62%	23.94%	23.45%	+0.72	-12.0	26
2004-11-28	@ Aarhus GF	W 3-1	59.4	1509	1545	23.45%	23.94%	52.62%	-0.72	+12.0	21
2004-11-28	Viborg	W 3-2	65.9	1471	1598	30.42%	25.35%	44.23%	-0.34	+5.7	16
2004-11-28	@ Nordsjaelland	L 2-3	65.9	1598	1471	44.23%	25.35%	30.42%	+0.34	-5.7	27
2005-03-12	Aarhus GF	W 2-1	55.2	1592	1533	55.49%	23.19%	21.32%	+0.87	+3.3	30
2005-03-12	@ Viborg	L 1-2	55.2	1533	1592	21.32%	23.19%	55.49%	-0.87	-3.3	26
2005-03-13	Aalborg	D 1-1	72.0	1729	1609	62.50%	20.84%	16.67%	+1.26	-1.5	44
2005-03-13	@ Brondby	D 1-1	72.0	1609	1729	16.67%	20.84%	62.50%	-1.26	+1.5	26
2005-03-13	Esbjerg	L 0-1	62.2	1639	1611	51.52%	24.19%	24.30%	+0.66	-7.2	30
2005-03-13	@ Odense	W 1-0	62.2	1611	1639	24.30%	24.19%	51.52%	-0.66	+7.2	26
2005-03-13	Midtjylland	W 4-0	48.2	1673	1622	54.39%	23.49%	22.12%	+0.81	+13.0	30
2005-03-13	@ FC Copenhagen	L 0-4	48.2	1622	1673	22.12%	23.49%	54.39%	-0.81	-13.0	33
2005-03-19	Silkeborg	W 3-1	51.3	1610	1521	59.09%	22.08%	18.84%	+1.07	+5.1	29
2005-03-19	@ Aalborg	L 1-3	51.3	1521	1610	18.84%	22.08%	59.09%	-1.07	-5.1	21
2005-03-19	Viborg	D 1-1	63.8	1444	1596	27.50%	24.92%	47.59%	-0.50	+0.6	15
2005-03-19	@ Herfolge	D 1-1	63.8	1596	1444	47.59%	24.92%	27.50%	+0.50	-0.6	31
2005-03-20	Brondby	D 0-0	66.5	1619	1727	32.79%	25.56%	41.65%	-0.22	+0.3	27
2005-03-20	@ Esbjerg	D 0-0	66.5	1727	1619	41.65%	25.56%	32.79%	+0.22	-0.3	45
2005-03-20	Nordsjaelland	W 2-1	51.3	1530	1477	54.67%	23.42%	21.91%	+0.83	+3.4	29
2005-03-20	@ Aarhus GF	L 1-2	51.3	1477	1530	21.91%	23.42%	54.67%	-0.83	-3.4	16
2005-03-20	Odense	D 0-0	65.1	1609	1632	44.84%	25.28%	29.88%	+0.34	-0.5	34
2005-03-20	@ Midtjylland	D 0-0	65.1	1632	1609	29.88%	25.28%	44.84%	-0.34	+0.5	31
2005-03-20	Randers	W 4-0	37.4	1686	1423	76.45%	14.27%	9.27%	+2.19	+5.0	33
2005-03-20	@ FC Copenhagen	L 0-4	37.4	1423	1686	9.27%	14.27%	76.45%	-2.19	-5.0	14
2005-04-02	Esbjerg	W 2-1	62.0	1516	1619	33.48%	25.61%	40.91%	-0.19	+5.7	24
2005-04-02	@ Silkeborg	L 1-2	62.0	1619	1516	40.91%	25.61%	33.48%	+0.19	-5.7	27
2005-04-02	Midtjylland	L 0-1	65.7	1727	1609	62.30%	20.91%	16.78%	+1.25	-8.5	45
2005-04-02	@ Brondby	W 1-0	65.7	1609	1727	16.78%	20.91%	62.30%	-1.25	+8.5	37
2005-04-03	Aalborg	W 2-1	60.5	1595	1615	45.15%	25.25%	29.61%	+0.35	+4.4	34
2005-04-03	@ Viborg	L 1-2	60.5	1615	1595	29.61%	25.25%	45.15%	-0.35	-4.4	29
2005-04-03	Aarhus GF	W 1-0	50.8	1418	1533	31.96%	25.50%	42.54%	-0.26	+6.2	17
2005-04-03	@ Randers	L 0-1	50.8	1533	1418	42.54%	25.50%	31.96%	+0.26	-6.2	29
2005-04-03	FC Copenhagen	L 1-2	65.4	1632	1691	39.81%	25.66%	34.54%	+0.11	-5.6	31
2005-04-03	@ Odense	W 2-1	65.4	1691	1632	34.54%	25.66%	39.81%	-0.11	+5.6	36
2005-04-03	Herfolge	D 0-0	55.3	1473	1445	51.65%	24.16%	24.19%	+0.67	-0.9	17
2005-04-03	@ Nordsjaelland	D 0-0	55.3	1445	1473	24.19%	24.16%	51.65%	-0.67	+1.0	16
2005-04-06	Herfolge	W 3-0	38.4	1521	1445	57.43%	22.62%	19.95%	+0.97	+9.0	27
2005-04-06	@ Silkeborg	L 0-3	38.4	1445	1521	19.95%	22.62%	57.43%	-0.97	-9.0	16
2005-04-09	Nordsjaelland	W 2-0	42.5	1611	1472	64.53%	20.02%	15.45%	+1.38	+4.7	32
2005-04-09	@ Aalborg	L 0-2	42.5	1472	1611	15.45%	20.02%	64.53%	-1.38	-4.7	17
2005-04-09	Silkeborg	D 0-0	63.9	1617	1530	58.78%	22.18%	19.04%	+1.05	-1.4	38
2005-04-09	@ Midtjylland	D 0-0	63.9	1530	1617	19.04%	22.18%	58.78%	-1.05	+1.4	28
2005-04-10	Aarhus GF	W 1-0	50.2	1436	1527	35.27%	25.68%	39.05%	-0.10	+5.8	19
2005-04-10	@ Herfolge	L 0-1	50.2	1527	1436	39.05%	25.68%	35.27%	+0.10	-5.8	29
2005-04-10	Brondby	W 3-0	52.5	1697	1719	44.90%	25.27%	29.83%	+0.34	+12.9	39
2005-04-10	@ FC Copenhagen	L 0-3	52.5	1719	1697	29.83%	25.27%	44.90%	-0.34	-12.9	45
2005-04-10	Odense	D 1-1	64.6	1424	1627	22.31%	23.56%	54.13%	-0.83	+1.0	18
2005-04-10	@ Randers	D 1-1	64.6	1627	1424	54.13%	23.56%	22.31%	+0.83	-1.0	32
2005-04-10	Viborg	W 4-1	53.7	1613	1600	49.69%	24.55%	25.75%	+0.57	+9.6	30
2005-04-10	@ Esbjerg	L 1-4	53.7	1600	1613	25.75%	24.55%	49.69%	-0.57	-9.6	34
2005-04-13	Nordsjaelland	W 2-1	51.0	1425	1468	42.07%	25.53%	32.39%	+0.21	+4.8	21
2005-04-13	@ Randers	L 1-2	51.0	1468	1425	32.39%	25.53%	42.07%	-0.21	-4.8	17
2005-04-16	Brondby	L 0-2	54.1	1590	1706	31.88%	25.49%	42.63%	-0.26	-9.4	34
2005-04-16	@ Viborg	W 2-0	54.1	1706	1590	42.63%	25.49%	31.88%	+0.26	+9.4	48
2005-04-16	Esbjerg	D 0-0	65.1	1616	1623	46.93%	25.01%	28.06%	+0.44	-0.6	33
2005-04-16	@ Aalborg	D 0-0	65.1	1623	1616	28.06%	25.01%	46.93%	-0.44	+0.6	31
2005-04-17	FC Copenhagen	L 1-2	58.7	1521	1709	23.65%	24.00%	52.35%	-0.74	-3.6	29
2005-04-17	@ Aarhus GF	W 2-1	58.7	1709	1521	52.35%	24.00%	23.65%	+0.74	+3.6	42
2005-04-17	Midtjylland	L 1-3	51.4	1442	1616	25.14%	24.41%	50.45%	-0.64	-6.7	19
2005-04-17	@ Herfolge	W 3-1	51.4	1616	1442	50.45%	24.41%	25.14%	+0.64	+6.7	41
2005-04-17	Odense	D 0-0	61.3	1463	1626	26.27%	24.67%	49.06%	-0.57	+0.8	18
2005-04-17	@ Nordsjaelland	D 0-0	61.3	1626	1463	49.06%	24.67%	26.27%	+0.57	-0.8	33
2005-04-17	Randers	D 2-2	67.4	1532	1430	60.45%	21.60%	17.95%	+1.14	-1.0	29
2005-04-17	@ Silkeborg	D 2-2	67.4	1430	1532	17.95%	21.60%	60.45%	-1.14	+1.0	22
2005-04-23	Nordsjaelland	W 2-0	42.1	1713	1464	75.29%	14.89%	9.82%	+2.10	+2.8	45
2005-04-23	@ FC Copenhagen	L 0-2	42.1	1464	1713	9.82%	14.89%	75.29%	-2.10	-2.8	18
2005-04-24	Aalborg	L 0-4	42.6	1431	1615	24.07%	24.12%	51.80%	-0.71	-14.1	22
2005-04-24	@ Randers	W 4-0	42.6	1615	1431	51.80%	24.12%	24.07%	+0.71	+14.1	36
2005-04-24	Aarhus GF	L 0-1	61.7	1623	1517	60.86%	21.46%	17.69%	+1.17	-8.3	41
2005-04-24	@ Midtjylland	W 1-0	61.7	1517	1623	17.69%	21.46%	60.86%	-1.17	+8.3	32
2005-04-24	Herfolge	W 5-1	41.8	1624	1436	69.59%	17.75%	12.65%	+1.70	+6.0	34
2005-04-24	@ Esbjerg	L 1-5	41.8	1436	1624	12.65%	17.75%	69.59%	-1.70	-6.0	19
2005-04-24	Silkeborg	D 0-0	67.4	1715	1531	69.25%	17.92%	12.83%	+1.68	-2.1	49
2005-04-24	@ Brondby	D 0-0	67.4	1531	1715	12.83%	17.92%	69.25%	-1.68	+2.1	30
2005-04-24	Viborg	D 0-0	64.9	1625	1581	53.63%	23.69%	22.68%	+0.77	-1.1	34
2005-04-24	@ Odense	D 0-0	64.9	1581	1625	22.68%	23.69%	53.63%	-0.77	+1.1	35
2005-04-30	Randers	W 2-0	39.6	1713	1417	79.13%	12.82%	8.05%	+2.40	+2.2	52
2005-04-30	@ Brondby	L 0-2	39.6	1417	1713	8.05%	12.82%	79.13%	-2.40	-2.2	22
2005-05-01	Aalborg	L 2-4	54.6	1430	1629	22.60%	23.66%	53.74%	-0.81	-5.4	19
2005-05-01	@ Herfolge	W 4-2	54.6	1629	1430	53.74%	23.66%	22.60%	+0.81	+5.4	39
2005-05-01	Esbjerg	L 0-1	55.1	1526	1630	33.42%	25.60%	40.97%	-0.19	-5.2	32
2005-05-01	@ Aarhus GF	W 1-0	55.1	1630	1526	40.97%	25.60%	33.42%	+0.19	+5.2	37
2005-05-01	FC Copenhagen	L 0-2	53.4	1582	1716	29.56%	25.24%	45.20%	-0.38	-8.8	35
2005-05-01	@ Viborg	W 2-0	53.4	1716	1582	45.20%	25.24%	29.56%	+0.38	+8.8	48
2005-05-01	Midtjylland	W 3-2	67.1	1461	1614	27.33%	24.88%	47.79%	-0.51	+6.1	21
2005-05-01	@ Nordsjaelland	L 2-3	67.1	1614	1461	47.79%	24.88%	27.33%	+0.51	-6.1	41
2005-05-01	Odense	W 4-2	63.3	1533	1624	35.13%	25.68%	39.19%	-0.11	+8.5	33
2005-05-01	@ Silkeborg	L 2-4	63.3	1624	1533	39.19%	25.68%	35.13%	+0.11	-8.5	34
2005-05-07	Aarhus GF	W 3-1	51.1	1635	1520	61.85%	21.08%	17.06%	+1.22	+4.6	42
2005-05-07	@ Aalborg	L 1-3	51.1	1520	1635	17.06%	21.08%	61.85%	-1.22	-4.6	32
2005-05-08	Brondby	D 1-1	70.5	1615	1715	33.98%	25.63%	40.38%	-0.16	+0.2	35
2005-05-08	@ Odense	D 1-1	70.5	1715	1615	40.38%	25.63%	33.98%	+0.16	-0.2	53
2005-05-08	Herfolge	D 1-1	56.9	1415	1424	46.61%	25.06%	28.33%	+0.42	-0.5	23
2005-05-08	@ Randers	D 1-1	56.9	1424	1415	28.33%	25.06%	46.61%	-0.42	+0.6	20
2005-05-08	Nordsjaelland	W 3-1	47.8	1635	1467	67.57%	18.69%	13.73%	+1.57	+3.6	40
2005-05-08	@ Esbjerg	L 1-3	47.8	1467	1635	13.73%	18.69%	67.57%	-1.57	-3.6	21
2005-05-08	Silkeborg	L 0-1	65.9	1725	1541	69.16%	17.96%	12.88%	+1.67	-9.2	48
2005-05-08	@ FC Copenhagen	W 1-0	65.9	1541	1725	12.88%	17.96%	69.16%	-1.67	+9.2	36
2005-05-08	Viborg	L 1-2	66.3	1608	1573	52.48%	23.97%	23.55%	+0.71	-6.9	41
2005-05-08	@ Midtjylland	W 2-1	66.3	1573	1608	23.55%	23.97%	52.48%	-0.71	+6.9	38
2005-05-15	Midtjylland	L 0-1	57.3	1550	1601	40.88%	25.61%	33.51%	+0.15	-6.0	36
2005-05-15	@ Silkeborg	W 1-0	57.3	1601	1550	33.51%	25.61%	40.88%	-0.15	+6.0	44
2005-05-16	Aalborg	L 0-1	50.6	1463	1639	24.92%	24.35%	50.73%	-0.65	-4.0	21
2005-05-16	@ Nordsjaelland	W 1-0	50.6	1639	1463	50.73%	24.35%	24.92%	+0.65	+4.0	45
2005-05-16	Esbjerg	D 2-2	74.4	1580	1638	39.80%	25.66%	34.54%	+0.11	-0.1	39
2005-05-16	@ Viborg	D 2-2	74.4	1638	1580	34.54%	25.66%	39.80%	-0.11	+0.1	41
2005-05-16	FC Copenhagen	W 5-0	51.9	1715	1716	47.81%	24.88%	27.31%	+0.48	+19.4	56
2005-05-16	@ Brondby	L 0-5	51.9	1716	1715	27.31%	24.88%	47.81%	-0.48	-19.3	48
2005-05-16	Herfolge	W 2-1	47.5	1516	1425	59.24%	22.03%	18.74%	+1.07	+2.9	35
2005-05-16	@ Aarhus GF	L 1-2	47.5	1425	1516	18.74%	22.03%	59.24%	-1.07	-2.9	20
2005-05-16	Randers	W 1-0	42.0	1616	1414	70.91%	17.12%	11.97%	+1.79	+1.9	38
2005-05-16	@ Odense	L 0-1	42.0	1414	1616	11.97%	17.12%	70.91%	-1.79	-1.9	23
2005-05-19	Brondby	W 3-1	63.9	1607	1734	30.44%	25.35%	44.22%	-0.34	+10.5	47
2005-05-19	@ Midtjylland	L 1-3	63.9	1734	1607	44.22%	25.35%	30.44%	+0.34	-10.5	56
2005-05-19	Nordsjaelland	W 1-0	45.2	1422	1459	42.78%	25.48%	31.74%	+0.24	+5.0	23
2005-05-19	@ Herfolge	L 0-1	45.2	1459	1422	31.74%	25.48%	42.78%	-0.24	-5.0	21
2005-05-19	Odense	D 1-1	71.3	1696	1618	57.78%	22.51%	19.71%	+0.99	-1.2	49
2005-05-19	@ FC Copenhagen	D 1-1	71.3	1618	1696	19.71%	22.51%	57.78%	-0.99	+1.2	39
2005-05-19	Randers	W 4-0	35.6	1519	1412	61.00%	21.40%	17.60%	+1.17	+10.3	38
2005-05-19	@ Aarhus GF	L 0-4	35.6	1412	1519	17.60%	21.40%	61.00%	-1.17	-10.3	23
2005-05-19	Silkeborg	W 4-0	44.5	1638	1544	59.58%	21.91%	18.51%	+1.09	+10.9	44
2005-05-19	@ Esbjerg	L 0-4	44.5	1544	1638	18.51%	21.91%	59.58%	-1.09	-10.9	36
2005-05-19	Viborg	W 5-3	60.5	1643	1580	55.98%	23.05%	20.97%	+0.90	+4.8	48
2005-05-19	@ Aalborg	L 3-5	60.5	1580	1643	20.97%	23.05%	55.98%	-0.90	-4.8	39
2005-05-22	Aalborg	W 1-0	58.5	1533	1648	32.02%	25.50%	42.47%	-0.26	+6.2	39
2005-05-22	@ Silkeborg	L 0-1	58.5	1648	1533	42.47%	25.50%	32.02%	+0.26	-6.2	48
2005-05-22	Aarhus GF	W 2-1	55.6	1454	1529	37.48%	25.70%	36.82%	+0.00	+5.2	24
2005-05-22	@ Nordsjaelland	L 1-2	55.6	1529	1454	36.82%	25.70%	37.48%	+0.00	-5.2	38
2005-05-22	Esbjerg	W 4-0	48.1	1724	1649	57.30%	22.66%	20.04%	+0.97	+11.8	59
2005-05-22	@ Brondby	L 0-4	48.1	1649	1724	20.04%	22.66%	57.30%	-0.97	-11.8	44
2005-05-22	FC Copenhagen	L 0-1	46.3	1402	1695	15.43%	20.01%	64.56%	-1.41	-2.5	23
2005-05-22	@ Randers	W 1-0	46.3	1695	1402	64.56%	20.01%	15.43%	+1.41	+2.5	52
2005-05-22	Herfolge	W 2-1	47.8	1575	1427	65.53%	19.60%	14.87%	+1.44	+2.3	42
2005-05-22	@ Viborg	L 1-2	47.8	1427	1575	14.87%	19.60%	65.53%	-1.44	-2.3	23
2005-05-22	Midtjylland	W 3-1	57.1	1619	1618	48.02%	24.85%	27.13%	+0.49	+7.1	42
2005-05-22	@ Odense	L 1-3	57.1	1618	1619	27.13%	24.85%	48.02%	-0.49	-7.1	47
2005-05-28	Brondby	D 3-3	80.6	1642	1736	34.77%	25.66%	39.56%	-0.12	+0.1	49
2005-05-28	@ Aalborg	D 3-3	80.6	1736	1642	39.56%	25.66%	34.77%	+0.12	-0.1	60
2005-05-29	FC Copenhagen	W 1-0	59.6	1611	1698	35.75%	25.69%	38.56%	-0.08	+5.8	50
2005-05-29	@ Midtjylland	L 0-1	59.6	1698	1611	38.56%	25.69%	35.75%	+0.08	-5.8	52
2005-05-29	Odense	W 3-2	65.3	1638	1626	49.42%	24.61%	25.97%	+0.56	+3.8	47
2005-05-29	@ Esbjerg	L 2-3	65.3	1626	1638	25.97%	24.61%	49.42%	-0.56	-3.8	42
2005-05-29	Randers	W 2-0	37.3	1460	1399	55.56%	23.17%	21.26%	+0.87	+6.6	27
2005-05-29	@ Nordsjaelland	L 0-2	37.3	1399	1460	21.26%	23.17%	55.56%	-0.87	-6.6	23
2005-05-29	Silkeborg	D 1-1	60.8	1425	1540	31.96%	25.50%	42.54%	-0.26	+0.3	24
2005-05-29	@ Herfolge	D 1-1	60.8	1540	1425	42.54%	25.50%	31.96%	+0.26	-0.3	40
2005-05-29	Viborg	L 1-2	60.9	1524	1577	40.55%	25.62%	33.83%	+0.14	-5.7	38
2005-05-29	@ Aarhus GF	W 2-1	60.9	1577	1524	33.83%	25.62%	40.55%	-0.14	+5.6	45
2005-06-11	Herfolge	W 7-0	39.9	1736	1425	80.25%	12.20%	7.55%	+2.50	+6.6	63
2005-06-11	@ Brondby	L 0-7	39.9	1425	1736	7.55%	12.20%	80.25%	-2.50	-6.6	24
2005-06-12	Aalborg	L 1-2	66.1	1622	1642	45.22%	25.24%	29.54%	+0.36	-6.2	42
2005-06-12	@ Odense	W 2-1	66.1	1642	1622	29.54%	25.24%	45.22%	-0.36	+6.2	52
2005-06-12	Aarhus GF	D 1-1	64.6	1539	1518	50.65%	24.37%	24.98%	+0.62	-0.8	41
2005-06-12	@ Silkeborg	D 1-1	64.6	1518	1539	24.98%	24.37%	50.65%	-0.62	+0.8	39
2005-06-12	Esbjerg	W 1-0	54.3	1692	1641	54.38%	23.50%	22.13%	+0.81	+3.6	55
2005-06-12	@ FC Copenhagen	L 0-1	54.3	1641	1692	22.13%	23.50%	54.38%	-0.81	-3.6	47
2005-06-12	Midtjylland	L 0-3	40.2	1393	1616	20.48%	22.85%	56.68%	-0.96	-9.2	23
2005-06-12	@ Randers	W 3-0	40.2	1616	1393	56.68%	22.85%	20.48%	+0.96	+9.2	53
2005-06-12	Nordsjaelland	L 1-2	64.2	1583	1466	62.13%	20.98%	16.89%	+1.24	-8.0	45
2005-06-12	@ Viborg	W 2-1	64.2	1466	1583	16.89%	20.98%	62.13%	-1.24	+8.0	30
2005-06-15	Brondby	L 1-2	58.0	1519	1742	20.51%	22.86%	56.63%	-0.96	-3.2	39
2005-06-15	@ Aarhus GF	W 2-1	58.0	1742	1519	56.63%	22.86%	20.51%	+0.96	+3.2	66
2005-06-15	FC Copenhagen	D 1-1	70.7	1648	1695	41.38%	25.58%	33.04%	+0.18	-0.2	53
2005-06-15	@ Aalborg	D 1-1	70.7	1695	1648	33.04%	25.58%	41.38%	-0.18	+0.2	56
2005-06-15	Midtjylland	D 0-0	65.7	1638	1626	49.48%	24.60%	25.93%	+0.56	-0.8	48
2005-06-15	@ Esbjerg	D 0-0	65.7	1626	1638	25.93%	24.60%	49.48%	-0.56	+0.8	54
2005-06-15	Odense	L 2-3	57.8	1418	1616	22.77%	23.72%	53.51%	-0.80	-3.3	24
2005-06-15	@ Herfolge	W 3-2	57.8	1616	1418	53.51%	23.72%	22.77%	+0.80	+3.3	45
2005-06-15	Randers	W 2-1	44.9	1575	1384	69.92%	17.60%	12.48%	+1.72	+1.9	48
2005-06-15	@ Viborg	L 1-2	44.9	1384	1575	12.48%	17.60%	69.92%	-1.72	-1.8	23
2005-06-15	Silkeborg	L 2-3	62.4	1474	1539	38.97%	25.68%	35.35%	+0.07	-5.2	30
2005-06-15	@ Nordsjaelland	W 3-2	62.4	1539	1474	35.35%	25.68%	38.97%	-0.07	+5.2	44
2005-06-19	Aalborg	W 4-1	56.2	1626	1648	45.00%	25.26%	29.74%	+0.35	+10.9	57
2005-06-19	@ Midtjylland	L 1-4	56.2	1648	1626	29.74%	25.26%	45.00%	-0.35	-10.9	53
2005-06-19	Aarhus GF	W 3-0	43.3	1619	1516	60.65%	21.53%	17.82%	+1.15	+8.0	48
2005-06-19	@ Odense	L 0-3	43.3	1516	1619	17.82%	21.53%	60.65%	-1.15	-8.0	39
2005-06-19	Esbjerg	D 2-2	69.6	1382	1637	18.00%	21.63%	60.36%	-1.17	+1.0	24
2005-06-19	@ Randers	D 2-2	69.6	1637	1382	60.36%	21.63%	18.00%	+1.17	-1.0	49
2005-06-19	Herfolge	D 1-1	69.6	1696	1415	77.90%	13.49%	8.60%	+2.30	-2.2	57
2005-06-19	@ FC Copenhagen	D 1-1	69.6	1415	1696	8.60%	13.49%	77.90%	-2.30	+2.2	25
2005-06-19	Nordsjaelland	W 2-0	42.2	1745	1469	77.56%	13.68%	8.76%	+2.27	+2.4	69
2005-06-19	@ Brondby	L 0-2	42.2	1469	1745	8.76%	13.68%	77.56%	-2.27	-2.4	30
2005-06-19	Viborg	W 3-2	63.7	1544	1577	43.40%	25.43%	31.18%	+0.27	+4.4	47
2005-06-19	@ Silkeborg	L 2-3	63.7	1577	1544	31.18%	25.43%	43.40%	-0.27	-4.4	48

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	2005-05-08	12.88%	Silkeborg	1541	1	@ FC Copenhagen	1725	0
2	2004-09-19	13.21%	Randers	1400	1	@ Viborg	1578	0
3	2005-04-02	16.78%	Midtjylland	1609	1	@ Brondby	1727	0
4	2004-11-07	16.82%	Aarhus GF	1545	3	@ FC Copenhagen	1663	2
5	2005-06-12	16.89%	Nordsjaelland	1466	2	@ Viborg	1583	1
6	2004-08-29	17.10%	Aarhus GF	1514	2	@ Odense	1628	0
7	2005-04-24	17.69%	Aarhus GF	1517	1	@ Midtjylland	1623	0
8	2004-10-03	19.57%	Aarhus GF	1538	2	@ Esbjerg	1619	1
9	2004-08-29	19.63%	Nordsjaelland	1500	1	@ Viborg	1580	0
10	2004-09-22	20.25%	Herfolge	1470	4	@ Silkeborg	1542	2
11	2004-07-25	21.28%	Odense	1618	2	@ Brondby	1678	1
12	2004-10-03	22.53%	Viborg	1580	2	@ Odense	1626	0
13	2004-09-26	23.09%	Aalborg	1598	3	@ Odense	1638	1
14	2004-11-28	23.45%	Silkeborg	1509	3	@ Aarhus GF	1545	1
15	2005-05-08	23.55%	Viborg	1573	2	@ Midtjylland	1608	1
16	2004-08-15	23.83%	Viborg	1573	2	@ Aalborg	1606	1
17	2005-03-13	24.30%	Esbjerg	1611	1	@ Odense	1639	0
18	2004-08-15	25.55%	Nordsjaelland	1487	2	@ Herfolge	1503	0
19	2004-09-22	26.03%	Odense	1628	4	@ Esbjerg	1639	2
20	2004-10-17	26.05%	@ Silkeborg	1522	4	FC Copenhagen	1687	1
21	2004-09-19	26.39%	Brondby	1681	3	@ FC Copenhagen	1689	1
22	2004-11-06	26.49%	Aalborg	1613	3	@ Esbjerg	1620	2
23	2004-07-25	27.26%	Midtjylland	1613	2	@ Aalborg	1612	1
24	2005-05-01	27.33%	@ Nordsjaelland	1461	3	Midtjylland	1614	2
25	2005-06-12	29.54%	Aalborg	1642	2	@ Odense	1622	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	2004-11-07	22.66	@ Randers	4	1404	30.99%	Silkeborg	0	1526	43.60%	25.41%
2	2005-05-16	19.35	@ Brondby	5	1715	47.81%	FC Copenhagen	0	1716	27.31%	24.88%
3	2004-10-17	16.15	@ Silkeborg	4	1522	26.05%	FC Copenhagen	1	1687	49.33%	24.62%
4	2004-08-29	15.84	Aarhus GF	2	1514	17.10%	@ Odense	0	1628	61.79%	21.11%
5	2004-08-14	15.13	Aarhus GF	3	1499	37.87%	@ Randers	0	1417	36.43%	25.70%
6	2004-10-03	14.17	Viborg	2	1580	22.53%	@ Odense	0	1626	53.83%	23.64%
7	2005-04-24	14.06	Aalborg	4	1615	51.80%	@ Randers	0	1431	24.07%	24.12%
8	2004-11-21	13.74	@ FC Copenhagen	4	1659	52.57%	Aalborg	0	1623	23.48%	23.95%
9	2004-08-15	13.32	Nordsjaelland	2	1487	25.55%	@ Herfolge	0	1503	49.95%	24.51%
10	2005-03-13	12.99	@ FC Copenhagen	4	1673	54.39%	Midtjylland	0	1622	22.12%	23.49%
11	2005-04-10	12.94	@ FC Copenhagen	3	1697	44.90%	Brondby	0	1719	29.83%	25.27%
12	2004-09-26	12.13	Aalborg	3	1598	23.09%	@ Odense	1	1638	53.09%	23.82%
13	2004-11-28	12.04	Silkeborg	3	1509	23.45%	@ Aarhus GF	1	1545	52.62%	23.94%
14	2004-08-08	11.83	@ Esbjerg	3	1627	48.43%	Midtjylland	0	1623	26.79%	24.78%
15	2005-05-22	11.81	@ Brondby	4	1724	57.30%	Esbjerg	0	1649	20.04%	22.66%
16	2004-09-22	11.49	Herfolge	4	1470	20.25%	@ Silkeborg	2	1542	57.00%	22.75%
17	2004-09-19	11.34	Brondby	3	1681	26.39%	@ FC Copenhagen	1	1689	48.92%	24.70%
18	2004-11-07	11.03	@ Odense	7	1624	64.15%	Nordsjaelland	1	1489	15.68%	20.18%
19	2005-05-19	10.90	@ Esbjerg	4	1638	59.58%	Silkeborg	0	1544	18.51%	21.91%
20	2005-06-19	10.89	@ Midtjylland	4	1626	45.00%	Aalborg	1	1648	29.74%	25.26%
21	2004-11-03	10.69	@ Odense	5	1613	65.36%	Herfolge	0	1467	14.97%	19.67%
22	2004-09-19	10.50	@ Odense	4	1617	60.58%	Nordsjaelland	0	1514	17.87%	21.56%
23	2005-05-19	10.46	@ Midtjylland	3	1607	30.44%	Brondby	1	1734	44.22%	25.35%
24	2005-05-19	10.34	@ Aarhus GF	4	1519	61.00%	Randers	0	1412	17.60%	21.40%
25	2004-09-22	10.22	Odense	4	1628	26.03%	@ Esbjerg	2	1639	49.35%	24.62%

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	2005-05-28	80.6	@ Aalborg	3	1642	34.77%	Brondby	3	1736	39.56%	25.66%
2	2004-11-14	77.8	@ Aarhus GF	3	1553	36.43%	Odense	3	1635	37.87%	25.70%
3	2004-08-01	76.9	@ FC Copenhagen	2	1696	56.64%	Esbjerg	2	1626	20.50%	22.86%
4	2004-11-03	76.1	@ Esbjerg	2	1619	34.91%	Brondby	2	1712	39.42%	25.67%
5	2004-07-24	74.9	@ Silkeborg	2	1536	26.57%	FC Copenhagen	2	1696	48.69%	24.73%
6	2005-05-16	74.4	@ Viborg	2	1580	39.80%	Esbjerg	2	1638	34.54%	25.66%
7	2004-11-07	74.0	Aarhus GF	3	1545	16.82%	@ FC Copenhagen	2	1663	62.25%	20.93%
8	2004-10-17	73.0	@ Aarhus GF	2	1546	38.53%	Aalborg	2	1613	35.78%	25.69%
9	2004-10-30	72.7	@ Aarhus GF	2	1540	38.40%	Midtjylland	2	1608	35.90%	25.69%
10	2005-03-13	72.0	@ Brondby	1	1729	62.50%	Aalborg	1	1609	16.67%	20.84%
11	2004-11-06	71.6	Aalborg	3	1613	26.49%	@ Esbjerg	2	1620	48.80%	24.72%
12	2005-05-19	71.3	@ FC Copenhagen	1	1696	57.78%	Odense	1	1618	19.71%	22.51%
13	2004-08-15	71.1	@ FC Copenhagen	1	1689	55.85%	Odense	1	1626	21.06%	23.09%
14	2004-08-07	71.0	@ Viborg	3	1567	30.41%	FC Copenhagen	2	1695	44.25%	25.34%
15	2005-06-15	70.7	@ Aalborg	1	1648	41.38%	FC Copenhagen	1	1695	33.04%	25.58%
16	2005-05-08	70.5	@ Odense	1	1615	33.98%	Brondby	1	1715	40.38%	25.63%
17	2004-11-27	69.9	@ Esbjerg	1	1612	39.41%	FC Copenhagen	1	1673	34.92%	25.67%
18	2004-09-12	69.8	@ Aalborg	1	1596	35.99%	Brondby	1	1681	38.32%	25.70%
19	2005-06-19	69.6	@ Randers	2	1382	18.00%	Esbjerg	2	1637	60.36%	21.63%
20	2005-06-19	69.6	@ FC Copenhagen	1	1696	77.90%	Herfolge	1	1415	8.60%	13.49%
21	2004-11-27	69.5	@ Aalborg	1	1609	43.88%	Odense	1	1639	30.74%	25.38%
22	2004-07-25	69.1	Odense	2	1618	21.28%	@ Brondby	1	1678	55.55%	23.18%
23	2004-11-25	68.9	@ Randers	2	1424	25.04%	Viborg	2	1599	50.58%	24.38%
24	2004-09-22	68.8	@ Midtjylland	1	1619	54.36%	Viborg	1	1569	22.14%	23.50%
25	2004-09-22	68.3	Odense	4	1628	26.03%	@ Esbjerg	2	1639	49.35%	24.62%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2005-05-19	35.6	@ Aarhus GF	4	1519	61.00%	Randers	0	1412	17.60%	21.40%
2	2004-09-22	36.2	@ Aalborg	3	1592	69.07%	Randers	0	1410	12.93%	18.00%
3	2005-05-29	37.3	@ Nordsjaelland	2	1460	55.56%	Randers	0	1399	21.26%	23.17%
4	2005-03-20	37.4	@ FC Copenhagen	4	1686	76.45%	Randers	0	1423	9.27%	14.27%
5	2005-04-06	38.4	@ Silkeborg	3	1521	57.43%	Herfolge	0	1445	19.95%	22.62%
6	2004-10-03	39.1	@ Brondby	2	1699	78.58%	Randers	0	1409	8.30%	13.12%
7	2005-04-30	39.6	@ Brondby	2	1713	79.13%	Randers	0	1417	8.05%	12.82%
8	2005-06-11	39.9	@ Brondby	7	1736	80.25%	Herfolge	0	1425	7.55%	12.20%
9	2005-06-12	40.2	Midtjylland	3	1616	56.68%	@ Randers	0	1393	20.48%	22.85%
10	2004-11-03	40.3	@ Odense	5	1613	65.36%	Herfolge	0	1467	14.97%	19.67%
11	2004-10-24	40.6	@ Aalborg	3	1613	64.69%	Herfolge	0	1473	15.36%	19.95%
12	2004-08-08	40.9	@ Odense	5	1621	70.60%	Randers	1	1422	12.13%	17.27%
13	2004-11-20	41.2	@ Odense	2	1635	69.27%	Herfolge	0	1450	12.82%	17.90%
14	2005-04-24	41.8	@ Esbjerg	5	1624	69.59%	Herfolge	1	1436	12.65%	17.75%
15	2005-05-16	42.0	@ Odense	1	1616	70.91%	Randers	0	1414	11.97%	17.12%
16	2005-04-23	42.1	@ FC Copenhagen	2	1713	75.29%	Nordsjaelland	0	1464	9.82%	14.89%
17	2005-06-19	42.2	@ Brondby	2	1745	77.56%	Nordsjaelland	0	1469	8.76%	13.68%
18	2004-08-14	42.4	Aarhus GF	3	1499	37.87%	@ Randers	0	1417	36.43%	25.70%
19	2005-04-09	42.5	@ Aalborg	2	1611	64.53%	Nordsjaelland	0	1472	15.45%	20.02%
20	2004-10-02	42.6	@ FC Copenhagen	2	1684	71.74%	Herfolge	0	1473	11.55%	16.71%
21	2005-04-24	42.6	Aalborg	4	1615	51.80%	@ Randers	0	1431	24.07%	24.12%
22	2004-09-19	42.7	@ Aarhus GF	2	1524	53.93%	Herfolge	0	1477	22.46%	23.61%
23	2004-09-19	42.8	@ Odense	4	1617	60.58%	Nordsjaelland	0	1514	17.87%	21.56%
24	2004-11-14	42.8	@ Esbjerg	1	1613	69.52%	Randers	0	1426	12.69%	17.79%
25	2004-10-23	43.2	Brondby	2	1704	65.16%	@ Randers	0	1405	15.09%	19.76%