2005-06 Superliga Season

198 games

Final

Champion

FC Copenhagen

73 points · 5th Title

Last Title: 2003-04

Relegated

Aarhus GF

22 pts

Sonderjyske · 26 pts

Biggest Overachiever

FC Copenhagen

12.01 points above expected

73 points · 60.99 expected points

Biggest Disappointment

Aarhus GF

13.54 points below expected

22 points · 35.54 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	22	7	4	73	62	27	+35	60.99	+12.01
2	Brondby	33	21	4	8	67	60	34	+26	60.68	+6.32
3	Odense	33	17	7	9	58	49	28	+21	51.26	+6.74
4	Viborg	33	15	9	9	54	62	43	+19	49.84	+4.16
5	Aalborg	33	11	12	10	45	48	44	+4	48.78	-3.78
6	Esbjerg	33	12	6	15	42	43	45	-2	46.39	-4.39
7	Midtjylland	33	10	11	12	41	42	52	-10	45.62	-4.62
8	Silkeborg	33	11	6	16	39	33	50	-17	39.03	-0.03
9	Nordsjaelland	33	9	11	13	38	49	55	-6	39.44	-1.44
10	Horsens	33	8	13	12	37	29	41	-12	37.26	-0.26
11	Sonderjyske Relegated	33	6	8	19	26	41	72	-31	29.72	-3.72
12	Aarhus GF Relegated	33	4	10	19	22	36	63	-27	35.54	-13.54

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	FC Copenhagen	73	60.99	+12.01
2	Odense	58	51.26	+6.74
3	Brondby	67	60.68	+6.32
4	Viborg	54	49.84	+4.16
5	Silkeborg	39	39.03	-0.03

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Aarhus GF	22	35.54	-13.54
2	Midtjylland	41	45.62	-4.62
3	Esbjerg	42	46.39	-4.39
4	Aalborg	45	48.78	-3.78
5	Sonderjyske	26	29.72	-3.72

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	Aalborg	4	Apr 30 – May 14	1 in 28
2	Viborg	4	Jul 20 – Aug 7	1 in 25
3	FC Copenhagen	6	Mar 29 – Apr 22	1 in 24
4	Aarhus GF	2	Aug 28 – Sep 11	1 in 22
5	Horsens	2	May 4 – May 7	1 in 14

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Aarhus GF	6	Mar 19 – Apr 13	1 in 60
2	Brondby	2	May 7 – May 14	1 in 51
3	Viborg	3	Dec 4 – Mar 19	1 in 37
4	Sonderjyske	5	Aug 28 – Sep 25	1 in 32
5	FC Copenhagen	2	May 7 – May 14	1 in 26

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Horsens	8	Nov 27 – Apr 9	1 in 135
2	FC Copenhagen	16	Jul 20 – Oct 30	1 in 76
3	Nordsjaelland	9	Aug 28 – Oct 26	1 in 72
4	Viborg	9	Sep 11 – Oct 29	1 in 34
5	Sonderjyske	3	Mar 11 – Mar 26	1 in 14

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Aalborg	9	Mar 12 – Apr 23	1 in 300
2	Aarhus GF	12	Dec 4 – May 4	1 in 59
3	Silkeborg	10	Aug 7 – Oct 16	1 in 29
4	Horsens	8	Oct 2 – Nov 27	1 in 16
5	Midtjylland	6	Oct 2 – Nov 6	1 in 13

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	1712	73	-12	5	9.0	-4.0
Brondby	1673	67	-37	4	9.4	-5.4
Odense	1651	58	+21	12	8.6	+3.4
Viborg	1626	54	+9	7	7.7	-0.7
Aalborg	1613	45	+21	13	8.1	+4.9
Esbjerg	1581	42	-12	7	8.1	-1.1
Midtjylland	1564	41	+14	8	5.7	+2.3
Silkeborg	1510	39	+4	6	4.8	+1.2
Nordsjaelland	1505	38	-10	4	5.1	-1.1
Horsens	1506	37	+1	6	5.4	+0.6
Sonderjyske	1415	26	+1	7	4.5	+2.5
Aarhus GF	1451	22	-3	4	5.3	-1.3

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	HOR	MID	NOR	ODE	SIL	SON	VIB
Aalborg	—	1-2-0 5.01	1-0-2 2.77	2-0-1 4.45	0-0-3 3.56	1-2-0 5.04	1-2-0 4.42	1-1-1 5.18	1-1-1 3.63	2-1-0 5.26	1-2-0 6.16	0-1-2 3.64
Aarhus GF	0-2-1 3.20	—	1-0-2 2.17	2-1-0 2.99	0-2-1 2.07	0-1-2 3.83	0-1-2 3.15	0-0-3 3.84	0-0-3 2.92	1-0-2 3.52	0-1-2 4.53	0-2-1 3.04
Brondby	2-0-1 5.47	2-0-1 6.17	—	2-1-0 5.15	1-2-0 4.14	1-1-1 5.96	2-0-1 5.55	3-0-0 6.19	3-0-0 4.69	2-0-1 6.12	2-0-1 6.70	1-0-2 4.91
Esbjerg	1-0-2 3.73	0-1-2 5.26	0-1-2 3.07	—	1-0-2 2.60	0-2-1 5.31	1-1-1 4.19	2-0-1 4.51	1-1-1 4.04	2-0-1 4.95	3-0-0 5.53	1-0-2 3.92
FC Copenhagen	3-0-0 4.63	1-2-0 6.29	0-2-1 4.05	2-0-1 5.66	—	3-0-0 6.22	3-0-0 5.66	1-2-0 5.84	1-1-1 4.70	2-0-1 6.08	3-0-0 6.44	3-0-0 5.22
Horsens	0-2-1 3.18	2-1-0 4.34	1-1-1 2.35	1-2-0 2.93	0-0-3 2.13	—	0-1-2 3.19	0-1-2 3.77	0-2-1 3.15	1-1-1 3.74	2-1-0 4.64	1-1-1 3.37
Midtjylland	0-2-1 3.75	2-1-0 5.06	1-0-2 2.70	1-1-1 3.99	0-0-3 2.60	2-1-0 5.02	—	0-2-1 4.49	1-0-2 3.70	1-1-1 4.93	2-1-0 5.30	0-2-1 4.00
Nordsjaelland	1-1-1 3.05	3-0-0 4.35	0-0-3 2.17	1-0-2 3.68	0-2-1 2.46	2-1-0 4.40	1-2-0 3.69	—	0-1-2 2.77	0-2-1 4.10	1-2-0 5.25	0-0-3 3.06
Odense	1-1-1 4.55	3-0-0 5.32	0-0-3 3.50	1-1-1 4.15	1-1-1 3.50	1-2-0 5.07	2-0-1 4.50	2-1-0 5.47	—	2-0-1 5.48	2-0-1 6.16	2-1-0 3.80
Silkeborg	0-1-2 2.97	2-0-1 4.67	1-0-2 2.21	1-0-2 3.25	1-0-2 2.25	1-1-1 4.44	1-1-1 3.28	1-2-0 4.09	1-0-2 2.76	—	1-0-2 5.33	1-1-1 3.24
Sonderjyske	0-2-1 2.18	2-1-0 3.66	1-0-2 1.74	0-0-3 2.73	0-0-3 1.97	0-1-2 3.57	0-1-2 2.93	0-2-1 2.97	1-0-2 2.18	2-0-1 2.90	—	0-1-2 2.24
Viborg	2-1-0 4.54	1-2-0 5.21	2-0-1 3.28	2-0-1 4.27	0-0-3 3.00	1-1-1 4.84	1-2-0 4.19	3-0-0 5.16	0-1-2 4.37	1-1-1 4.98	2-1-0 6.08	—

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	0.64	+11.1
Allowed	0.80	-10.2
Differential	0.95	+7.0

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%	7.83%	7.07%	3.28%	1.52%	0.51%	27.27%
1	7.83%	11.62%	4.80%	5.30%	1.77%	0.25%	31.57%
2	7.07%	4.80%	6.06%	2.53%	1.52%	—	21.97%
3	3.28%	5.30%	2.53%	1.52%	0.51%	—	13.13%
4	1.52%	1.77%	1.52%	0.51%	—	—	5.30%
5+	0.51%	0.25%	—	—	—	—	0.76%
Total	27.27%	31.57%	21.97%	13.13%	5.30%	0.76%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.40	1.40	+0.00
SD	1.21	1.21	1.78
CV	0.86	0.86	—
Max	5	5	+5
Min	0	0	-5

Games Played: 198

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	6.06%	9.09%	—	—	—	21.21%
1	12.12%	18.18%	6.06%	3.03%	—	—	39.39%
2	6.06%	—	12.12%	—	3.03%	—	21.21%
3	3.03%	—	3.03%	—	3.03%	—	9.09%
4	—	3.03%	6.06%	—	—	—	9.09%
5+	—	—	—	—	—	—	—
Total	27.27%	27.27%	36.36%	3.03%	6.06%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.45	1.33	+0.12
SD	1.20	1.11	1.41
CV	0.83	0.83	—
Max	4	4	+3
Min	0	0	-2

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	12.12%	9.09%	—	9.09%	—	30.30%
1	3.03%	18.18%	12.12%	9.09%	—	—	42.42%
2	3.03%	—	6.06%	3.03%	3.03%	—	15.15%
3	3.03%	3.03%	—	6.06%	—	—	12.12%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	9.09%	33.33%	27.27%	18.18%	12.12%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.09	1.91	-0.82
SD	0.98	1.18	1.59
CV	0.90	0.62	—
Max	3	4	+3
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	—	9.09%	6.06%	—	—	24.24%
1	12.12%	3.03%	3.03%	3.03%	3.03%	—	24.24%
2	6.06%	6.06%	—	—	—	—	12.12%
3	12.12%	12.12%	3.03%	—	—	—	27.27%
4	3.03%	3.03%	—	3.03%	—	—	9.09%
5+	3.03%	—	—	—	—	—	3.03%
Total	45.45%	24.24%	15.15%	12.12%	3.03%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.82	1.03	+0.79
SD	1.47	1.19	2.10
CV	0.81	1.15	—
Max	5	4	+5
Min	0	0	-3

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%	3.03%	3.03%	3.03%	27.27%
2	9.09%	3.03%	6.06%	3.03%	—	—	21.21%
3	—	6.06%	6.06%	—	—	—	12.12%
4	6.06%	—	—	—	—	—	6.06%
5+	—	—	—	—	—	—	—
Total	30.30%	27.27%	27.27%	9.09%	3.03%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.30	1.36	-0.06
SD	1.24	1.27	1.87
CV	0.95	0.93	—
Max	4	5	+4
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	3.03%	—	3.03%	—	—	9.09%
1	18.18%	15.15%	—	3.03%	—	—	36.36%
2	15.15%	9.09%	—	3.03%	—	—	27.27%
3	3.03%	9.09%	—	3.03%	—	—	15.15%
4	3.03%	6.06%	—	—	—	—	9.09%
5+	—	3.03%	—	—	—	—	3.03%
Total	42.42%	45.45%	—	12.12%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.88	0.82	+1.06
SD	1.24	0.95	1.56
CV	0.66	1.16	—
Max	5	3	+4
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	24.24%	9.09%	3.03%	9.09%	—	3.03%	48.48%
1	9.09%	12.12%	6.06%	—	3.03%	—	30.30%
2	3.03%	3.03%	3.03%	—	—	—	9.09%
3	—	6.06%	—	—	3.03%	—	9.09%
4	—	3.03%	—	—	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	36.36%	33.33%	12.12%	9.09%	6.06%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.88	1.24	-0.36
SD	1.11	1.37	1.69
CV	1.26	1.10	—
Max	4	5	+3
Min	0	0	-5

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	6.06%	9.09%	3.03%	—	3.03%	30.30%
1	6.06%	12.12%	3.03%	6.06%	—	—	27.27%
2	9.09%	9.09%	9.09%	3.03%	3.03%	—	33.33%
3	—	—	—	3.03%	—	—	3.03%
4	—	—	3.03%	3.03%	—	—	6.06%
5+	—	—	—	—	—	—	—
Total	24.24%	27.27%	24.24%	18.18%	3.03%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.27	1.58	-0.30
SD	1.13	1.30	1.59
CV	0.88	0.82	—
Max	4	5	+2
Min	0	0	-5

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	3.03%	12.12%	3.03%	3.03%	—	27.27%
1	—	15.15%	6.06%	9.09%	3.03%	—	33.33%
2	6.06%	—	9.09%	—	—	—	15.15%
3	3.03%	6.06%	3.03%	3.03%	—	—	15.15%
4	—	—	6.06%	—	—	—	6.06%
5+	3.03%	—	—	—	—	—	3.03%
Total	18.18%	24.24%	36.36%	15.15%	6.06%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.48	1.67	-0.18
SD	1.37	1.14	1.96
CV	0.92	0.68	—
Max	5	4	+5
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	12.12%	15.15%	6.06%	—	—	—	33.33%
1	9.09%	3.03%	—	3.03%	—	—	15.15%
2	6.06%	12.12%	6.06%	3.03%	—	—	27.27%
3	12.12%	6.06%	—	—	—	—	18.18%
4	3.03%	—	3.03%	—	—	—	6.06%
5+	—	—	—	—	—	—	—
Total	42.42%	36.36%	15.15%	6.06%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.48	0.85	+0.64
SD	1.30	0.91	1.62
CV	0.88	1.07	—
Max	4	3	+4
Min	0	0	-2

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	12.12%	15.15%	3.03%	3.03%	—	39.39%
1	6.06%	9.09%	3.03%	9.09%	3.03%	—	30.30%
2	9.09%	9.09%	3.03%	—	—	—	21.21%
3	—	—	9.09%	—	—	—	9.09%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	21.21%	30.30%	30.30%	12.12%	6.06%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.00	1.52	-0.52
SD	1.00	1.15	1.60
CV	1.00	0.76	—
Max	3	4	+2
Min	0	0	-4

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.24	2.18	-0.94
SD	0.83	1.26	1.48
CV	0.67	0.58	—
Max	3	4	+2
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	6.06%	—	3.03%	—	—	9.09%
1	6.06%	18.18%	6.06%	6.06%	—	—	36.36%
2	9.09%	—	6.06%	6.06%	—	—	21.21%
3	3.03%	15.15%	3.03%	3.03%	—	—	24.24%
4	3.03%	6.06%	—	—	—	—	9.09%
5+	—	—	—	—	—	—	—
Total	21.21%	45.45%	15.15%	18.18%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.88	1.30	+0.58
SD	1.17	1.02	1.68
CV	0.62	0.78	—
Max	4	3	+4
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
FC Copenhagen	1712	73	60.99	+12.01	99.0%	41	48	56	62	65	71	80
Brondby	1673	67	60.68	+6.32	78.0%	39	47	55	61	67	71	78
Odense	1651	58	51.26	+6.74	86.0%	32	38	47	51	56	60	69
Viborg	1626	54	49.84	+4.16	73.0%	35	39	44	49	55	61	67
Aalborg	1613	45	48.78	-3.78	32.0%	30	37	44	49	53	61	68
Esbjerg	1581	42	46.39	-4.39	31.0%	28	35	42	45	50	60	64
Midtjylland	1564	41	45.62	-4.62	32.0%	24	29	40	46	51	60	67
Silkeborg	1510	39	39.03	-0.03	51.0%	24	28	34	39	44	50	56
Horsens	1506	37	37.26	-0.26	54.0%	21	24	33	37	41	50	60
Nordsjaelland	1505	38	39.44	-1.44	45.0%	17	28	35	39	43	50	60
Aarhus GF	1451	22	35.54	-13.54	2.0%	20	24	29	35	41	49	54
Sonderjyske	1415	26	29.72	-3.72	32.0%	9	19	26	29	34	41	48

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

+14.14%

Clear Edge

43.94%26.26%29.80%

Elo Value

Home Edge: 49.46 Elo pts.

167 Elo

0.006 goals per Elo point

0500

Scoring Tilt

Expected

+0.33 goals

Neutral

-2+0.30+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

3.0

Top-Heavy

134610

Champion Preseason Odds

39%

FC Copenhagen, 2nd of 12

LongshotFavorite

Title Margin

Expected

0.18/gm

Comfortable

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 5.84 * Some Luck: 5.84 to 8.76 * Lucky: 8.76 to 11.67 * Wild Swing: 11.67 and up.
Average Finish Error: Average gap between where each team was projected to finish and where they actually finished in the table.
Pinpoint: under 1.37 * Close: 1.37 to 2.05 * Off: 2.05 to 2.73 * Way Off: 2.73 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 0.82 * A Surprise: 0.82 to 1.31 * Several Surprises: 1.31 to 1.8 * Many Surprises: 1.8 and up.

Luck Spread

Expected

6.46 points

Some Luck

07.3018

Average Finish Error

Expected

0.33

Pinpoint

01.714

Biggest Overachiever

Expected 95.83%

99.00%

FC Copenhagen

50100

Biggest Underachiever

Expected 4.17%

2.00%

Aarhus GF

050

Season Outliers

Expected

2 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

0.18

Lopsided

00.120.5

Noll-Scully

Elo SD: 91.59

2.04

Wide Separation

0.651.351.61.92.5

Interquartile Edge

67%

Clear Edge

50%59%69%100%

Best vs. Worst

Baseline

85%

Clear Edge

50%86%100%

Close Games

Expected

58%

Some Drama

0%60%100%

Blowouts

Expected

15%

Rare

0%16%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

0.60

Predictable

00.612

Matchup Imbalance

0.32

Notable Separation

00.280.370.5

Strangeness

Expected

0.78

Very Predictable

01.002

Repeatability

0.83

Near-Lock

00.30.50.631

Upset Rate

Expected

22%

Chalky

0%25%50%

Clear Favorite Upset Rate

Expected

16%

Solid Favorites

0%21%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

0.63

Excellent

0.010.050.10.51

Calibration slope

Ideal

1.22

Underconfident

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.097

Well Within Noise

00.1180.3

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	39.00%	31.00%	17.00%	7.00%	3.00%	1.00%	2.00%	—	—	—	—	—
Brondby	41.00%	26.00%	15.00%	8.00%	5.00%	2.00%	1.00%	2.00%	—	—	—	—
Odense	6.00%	11.00%	22.00%	19.00%	14.00%	12.00%	4.00%	6.00%	5.00%	1.00%	—	—
Viborg	4.00%	11.00%	14.00%	13.00%	21.00%	13.00%	7.00%	10.00%	5.00%	1.00%	1.00%	—
Aalborg	6.00%	8.00%	10.00%	18.00%	18.00%	10.00%	9.00%	8.00%	6.00%	6.00%	1.00%	—
Esbjerg	2.00%	6.00%	7.00%	9.00%	14.00%	21.00%	18.00%	9.00%	6.00%	3.00%	3.00%	2.00%
Midtjylland	1.00%	7.00%	6.00%	15.00%	9.00%	14.00%	15.00%	8.00%	13.00%	4.00%	2.00%	6.00%
Silkeborg	—	—	2.00%	4.00%	6.00%	6.00%	16.00%	11.00%	14.00%	19.00%	16.00%	6.00%
Nordsjaelland	1.00%	—	3.00%	3.00%	6.00%	7.00%	11.00%	22.00%	15.00%	13.00%	13.00%	6.00%
Horsens	—	—	3.00%	2.00%	1.00%	8.00%	7.00%	11.00%	17.00%	25.00%	15.00%	11.00%
Sonderjyske	—	—	—	—	—	1.00%	4.00%	4.00%	4.00%	11.00%	29.00%	47.00%
Aarhus GF	—	—	1.00%	2.00%	3.00%	5.00%	6.00%	9.00%	15.00%	17.00%	20.00%	22.00%

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%	—
Aalborg	99.00%	1.00%
Viborg	99.00%	1.00%
Esbjerg	95.00%	5.00%
Midtjylland	92.00%	8.00%
Nordsjaelland	81.00%	19.00%
Silkeborg	78.00%	22.00%
Horsens	74.00%	26.00%
Aarhus GF	58.00%	42.00%
Sonderjyske	24.00%	76.00%

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
2005-07-19	Odense	D 2-2	74.6	1599	1595	43.88%	27.31%	28.80%	+0.32	-0.3	1
2005-07-19	@ Esbjerg	D 2-2	74.6	1595	1599	28.80%	27.31%	43.88%	-0.32	+0.3	1
2005-07-20	Aarhus GF	W 2-1	56.8	1547	1527	46.19%	26.94%	26.88%	+0.42	+4.2	3
2005-07-20	@ Silkeborg	L 1-2	56.8	1527	1547	26.88%	26.94%	46.19%	-0.42	-4.2	0
2005-07-20	FC Copenhagen	L 0-1	59.3	1598	1629	39.05%	27.78%	33.17%	+0.11	-6.0	0
2005-07-20	@ Aalborg	W 1-0	59.3	1629	1598	33.17%	27.78%	39.05%	-0.11	+6.0	3
2005-07-20	Midtjylland	W 3-0	48.2	1663	1596	52.26%	25.47%	22.27%	+0.69	+10.4	3
2005-07-20	@ Brondby	L 0-3	48.2	1596	1663	22.27%	25.47%	52.26%	-0.69	-10.4	0
2005-07-20	Sonderjyske	D 1-1	61.6	1505	1465	48.78%	26.39%	24.83%	+0.53	-0.8	1
2005-07-20	@ Nordsjaelland	D 1-1	61.6	1465	1505	24.83%	26.39%	48.78%	-0.53	+0.8	1
2005-07-20	Viborg	L 0-3	49.3	1525	1560	38.38%	27.81%	33.80%	+0.08	-16.2	0
2005-07-20	@ Horsens	W 3-0	49.3	1560	1525	33.80%	27.81%	38.38%	-0.08	+16.2	3
2005-07-23	Silkeborg	W 2-0	47.7	1673	1551	59.09%	23.03%	17.88%	+1.02	+5.7	6
2005-07-23	@ Brondby	L 0-2	47.7	1551	1673	17.88%	23.03%	59.09%	-1.02	-5.7	3
2005-07-24	Aalborg	W 2-1	60.9	1595	1592	43.83%	27.32%	28.85%	+0.32	+4.5	4
2005-07-24	@ Odense	L 1-2	60.9	1592	1595	28.85%	27.32%	43.83%	-0.32	-4.5	0
2005-07-24	Aarhus GF	W 2-1	56.9	1466	1522	35.32%	27.85%	36.82%	-0.04	+5.4	4
2005-07-24	@ Sonderjyske	L 1-2	56.9	1522	1466	36.82%	27.85%	35.32%	+0.04	-5.4	0
2005-07-24	Esbjerg	W 2-1	61.5	1586	1598	41.63%	27.58%	30.79%	+0.22	+4.7	3
2005-07-24	@ Midtjylland	L 1-2	61.5	1598	1586	30.79%	27.58%	41.63%	-0.22	-4.7	1
2005-07-24	Horsens	W 2-0	45.6	1635	1509	59.56%	22.84%	17.60%	+1.05	+5.6	6
2005-07-24	@ FC Copenhagen	L 0-2	45.6	1509	1635	17.60%	22.84%	59.56%	-1.05	-5.6	0
2005-07-24	Nordsjaelland	W 3-1	51.4	1577	1504	53.06%	25.22%	21.71%	+0.73	+6.0	6
2005-07-24	@ Viborg	L 1-3	51.4	1504	1577	21.71%	25.22%	53.06%	-0.73	-6.1	1
2005-07-30	Midtjylland	D 1-1	68.3	1587	1590	42.96%	27.43%	29.61%	+0.28	-0.4	1
2005-07-30	@ Aalborg	D 1-1	68.3	1590	1587	29.61%	27.43%	42.96%	-0.28	+0.4	4
2005-07-31	Brondby	L 2-3	68.7	1594	1679	31.47%	27.65%	40.88%	-0.21	-4.6	1
2005-07-31	@ Esbjerg	W 3-2	68.7	1679	1594	40.88%	27.65%	31.47%	+0.21	+4.6	9
2005-07-31	FC Copenhagen	L 1-2	58.1	1498	1640	24.86%	26.41%	48.73%	-0.56	-4.0	1
2005-07-31	@ Nordsjaelland	W 2-1	58.1	1640	1498	48.73%	26.41%	24.86%	+0.56	+4.0	9
2005-07-31	Odense	D 0-0	61.6	1503	1600	30.05%	27.49%	42.45%	-0.28	+0.4	1
2005-07-31	@ Horsens	D 0-0	61.6	1600	1503	42.45%	27.49%	30.05%	+0.28	-0.4	5
2005-07-31	Sonderjyske	W 3-2	57.9	1546	1471	53.29%	25.15%	21.55%	+0.74	+3.3	6
2005-07-31	@ Silkeborg	L 2-3	57.9	1471	1546	21.55%	25.15%	53.29%	-0.74	-3.3	4
2005-07-31	Viborg	L 2-3	65.4	1517	1583	34.06%	27.82%	38.12%	-0.10	-4.8	0
2005-07-31	@ Aarhus GF	W 3-2	65.4	1583	1517	38.12%	27.82%	34.06%	+0.10	+4.8	9
2005-08-06	Aalborg	W 3-1	55.3	1683	1587	56.00%	24.23%	19.77%	+0.87	+5.5	12
2005-08-06	@ Brondby	L 1-3	55.3	1587	1683	19.77%	24.23%	56.00%	-0.87	-5.5	1
2005-08-07	Aarhus GF	D 1-1	69.2	1644	1512	60.32%	22.52%	17.16%	+1.09	-1.4	10
2005-08-07	@ FC Copenhagen	D 1-1	69.2	1512	1644	17.16%	22.52%	60.32%	-1.09	+1.4	1
2005-08-07	Horsens	W 2-1	54.9	1591	1504	54.87%	24.63%	20.50%	+0.82	+3.3	7
2005-08-07	@ Midtjylland	L 1-2	54.9	1504	1591	20.50%	24.63%	54.87%	-0.82	-3.3	1
2005-08-07	Nordsjaelland	D 0-0	62.3	1599	1494	57.13%	23.81%	19.06%	+0.93	-1.4	6
2005-08-07	@ Odense	D 0-0	62.3	1494	1599	19.06%	23.81%	57.13%	-0.93	+1.4	2
2005-08-07	Silkeborg	W 4-0	46.3	1589	1549	48.82%	26.38%	24.79%	+0.54	+15.0	4
2005-08-07	@ Esbjerg	L 0-4	46.3	1549	1589	24.79%	26.38%	48.82%	-0.54	-15.0	6
2005-08-07	Sonderjyske	W 3-1	48.8	1588	1468	58.86%	23.13%	18.01%	+1.01	+5.0	12
2005-08-07	@ Viborg	L 1-3	48.8	1468	1588	18.01%	23.13%	58.86%	-1.01	-5.0	4
2005-08-13	Odense	L 0-4	47.9	1514	1598	31.57%	27.66%	40.77%	-0.21	-18.3	1
2005-08-13	@ Aarhus GF	W 4-0	47.9	1598	1514	40.77%	27.66%	31.57%	+0.21	+18.3	9
2005-08-14	Brondby	D 0-0	64.8	1500	1689	20.64%	24.71%	54.65%	-0.83	+1.2	2
2005-08-14	@ Horsens	D 0-0	64.8	1689	1500	54.65%	24.71%	20.64%	+0.83	-1.2	13
2005-08-14	Esbjerg	W 2-0	52.5	1582	1604	40.23%	27.71%	32.06%	+0.16	+9.7	4
2005-08-14	@ Aalborg	L 0-2	52.5	1604	1582	32.06%	27.71%	40.23%	-0.16	-9.8	4
2005-08-14	FC Copenhagen	L 0-1	50.1	1463	1643	21.33%	25.05%	53.62%	-0.78	-3.6	4
2005-08-14	@ Sonderjyske	W 1-0	50.1	1643	1463	53.62%	25.05%	21.33%	+0.78	+3.6	13
2005-08-14	Midtjylland	W 3-2	67.6	1495	1594	29.74%	27.45%	42.80%	-0.30	+5.7	5
2005-08-14	@ Nordsjaelland	L 2-3	67.6	1594	1495	42.80%	27.45%	29.74%	+0.30	-5.7	7
2005-08-14	Viborg	D 1-1	66.7	1534	1593	35.05%	27.85%	37.10%	-0.06	+0.1	7
2005-08-14	@ Silkeborg	D 1-1	66.7	1593	1534	37.10%	27.85%	35.05%	+0.06	-0.1	13
2005-08-20	Nordsjaelland	W 2-1	54.1	1688	1501	66.46%	19.63%	13.91%	+1.41	+2.2	16
2005-08-20	@ Brondby	L 1-2	54.1	1501	1688	13.91%	19.63%	66.46%	-1.41	-2.2	5
2005-08-21	Aarhus GF	D 3-3	76.3	1588	1495	55.63%	24.37%	20.00%	+0.85	-0.7	8
2005-08-21	@ Midtjylland	D 3-3	76.3	1495	1588	20.00%	24.37%	55.63%	-0.85	+0.7	2
2005-08-21	Horsens	D 0-0	62.2	1594	1502	55.55%	24.40%	20.06%	+0.85	-1.3	5
2005-08-21	@ Esbjerg	D 0-0	62.2	1502	1594	20.06%	24.40%	55.55%	-0.85	+1.3	3
2005-08-21	Silkeborg	D 1-1	67.3	1591	1534	51.09%	25.81%	23.11%	+0.64	-0.9	5
2005-08-21	@ Aalborg	D 1-1	67.3	1534	1591	23.11%	25.81%	51.09%	-0.64	+0.9	8
2005-08-21	Sonderjyske	L 2-3	71.3	1616	1459	63.20%	21.22%	15.58%	+1.24	-7.8	9
2005-08-21	@ Odense	W 3-2	71.3	1459	1616	15.58%	21.22%	63.20%	-1.24	+7.8	7
2005-08-21	Viborg	W 2-1	59.9	1646	1592	50.65%	25.93%	23.43%	+0.62	+3.8	16
2005-08-21	@ FC Copenhagen	L 1-2	59.9	1592	1646	23.43%	25.93%	50.65%	-0.62	-3.8	13
2005-08-27	Odense	L 1-2	64.8	1589	1608	40.61%	27.68%	31.71%	+0.18	-5.8	13
2005-08-27	@ Viborg	W 2-1	64.8	1608	1589	31.71%	27.68%	40.61%	-0.18	+5.8	12
2005-08-28	Aalborg	D 0-0	61.2	1503	1590	31.18%	27.62%	41.20%	-0.23	+0.3	4
2005-08-28	@ Horsens	D 0-0	61.2	1590	1503	41.20%	27.62%	31.18%	+0.23	-0.3	6
2005-08-28	Brondby	W 3-0	56.3	1496	1690	20.20%	24.47%	55.33%	-0.86	+21.4	5
2005-08-28	@ Aarhus GF	L 0-3	56.3	1690	1496	55.33%	24.47%	20.20%	+0.86	-21.4	16
2005-08-28	Esbjerg	W 2-0	52.7	1499	1593	30.34%	27.53%	42.13%	-0.27	+11.9	8
2005-08-28	@ Nordsjaelland	L 0-2	52.7	1593	1499	42.13%	27.53%	30.34%	+0.27	-11.9	5
2005-08-28	Midtjylland	L 2-4	56.7	1467	1588	27.16%	27.00%	45.84%	-0.43	-6.6	7
2005-08-28	@ Sonderjyske	W 4-2	56.7	1588	1467	45.84%	27.00%	27.16%	+0.43	+6.6	11
2005-08-28	Silkeborg	W 2-0	47.0	1650	1535	58.33%	23.34%	18.32%	+0.99	+5.9	19
2005-08-28	@ FC Copenhagen	L 0-2	47.0	1535	1650	18.32%	23.34%	58.33%	-0.99	-5.9	8
2005-09-10	Sonderjyske	W 3-0	40.2	1668	1460	68.75%	18.46%	12.80%	+1.54	+5.7	19
2005-09-10	@ Brondby	L 0-3	40.2	1460	1668	12.80%	18.46%	68.75%	-1.54	-5.7	7
2005-09-11	Aarhus GF	L 0-1	59.1	1581	1517	51.89%	25.58%	22.53%	+0.68	-7.4	5
2005-09-11	@ Esbjerg	W 1-0	59.1	1517	1581	22.53%	25.58%	51.89%	-0.68	+7.4	8
2005-09-11	FC Copenhagen	L 0-2	55.8	1614	1656	37.46%	27.84%	34.70%	+0.05	-10.9	12
2005-09-11	@ Odense	W 2-0	55.8	1656	1614	34.70%	27.84%	37.46%	-0.05	+10.9	22
2005-09-11	Horsens	L 0-1	55.7	1529	1503	46.89%	26.80%	26.31%	+0.45	-6.9	8
2005-09-11	@ Silkeborg	W 1-0	55.7	1503	1529	26.31%	26.80%	46.89%	-0.45	+6.9	7
2005-09-11	Nordsjaelland	D 1-1	66.8	1590	1511	53.89%	24.96%	21.15%	+0.77	-1.0	7
2005-09-11	@ Aalborg	D 1-1	66.8	1511	1590	21.15%	24.96%	53.89%	-0.77	+1.0	9
2005-09-11	Viborg	D 1-1	68.3	1594	1583	44.95%	27.15%	27.90%	+0.36	-0.5	12
2005-09-11	@ Midtjylland	D 1-1	68.3	1583	1594	27.90%	27.15%	44.95%	-0.36	+0.5	14
2005-09-17	Aalborg	L 2-4	61.1	1525	1589	34.28%	27.83%	37.89%	-0.09	-7.9	8
2005-09-17	@ Aarhus GF	W 4-2	61.1	1589	1525	37.89%	27.83%	34.28%	+0.09	+7.9	10
2005-09-18	Brondby	W 3-1	62.7	1583	1674	30.79%	27.58%	41.63%	-0.25	+10.2	17
2005-09-18	@ Viborg	L 1-3	62.7	1674	1583	41.63%	27.58%	30.79%	+0.25	-10.2	19
2005-09-18	Esbjerg	L 0-1	49.8	1455	1574	27.38%	27.04%	45.58%	-0.42	-4.6	7
2005-09-18	@ Sonderjyske	W 1-0	49.8	1574	1455	45.58%	27.04%	27.38%	+0.42	+4.6	8
2005-09-18	Horsens	W 5-0	44.8	1512	1510	43.60%	27.35%	29.05%	+0.31	+21.1	12
2005-09-18	@ Nordsjaelland	L 0-5	44.8	1510	1512	29.05%	27.35%	43.60%	-0.31	-21.1	7
2005-09-18	Midtjylland	W 3-1	56.0	1667	1594	53.12%	25.21%	21.67%	+0.73	+6.0	25
2005-09-18	@ FC Copenhagen	L 1-3	56.0	1594	1667	21.67%	25.21%	53.12%	-0.73	-6.0	12
2005-09-18	Silkeborg	W 3-1	52.6	1603	1522	54.14%	24.88%	20.98%	+0.78	+5.9	15
2005-09-18	@ Odense	L 1-3	52.6	1522	1603	20.98%	24.88%	54.14%	-0.78	-5.8	8
2005-09-21	Aarhus GF	D 1-1	62.6	1489	1517	39.46%	27.76%	32.78%	+0.13	-0.2	8
2005-09-21	@ Horsens	D 1-1	62.6	1517	1489	32.78%	27.76%	39.46%	-0.13	+0.2	9
2005-09-21	FC Copenhagen	D 1-1	70.9	1664	1673	42.07%	27.54%	30.39%	+0.24	-0.3	20
2005-09-21	@ Brondby	D 1-1	70.9	1673	1664	30.39%	27.54%	42.07%	-0.24	+0.4	26
2005-09-21	Nordsjaelland	D 1-1	64.2	1516	1533	41.04%	27.64%	31.32%	+0.20	-0.3	9
2005-09-21	@ Silkeborg	D 1-1	64.2	1533	1516	31.32%	27.64%	41.04%	-0.20	+0.3	13
2005-09-21	Odense	L 0-1	59.1	1588	1609	40.37%	27.69%	31.93%	+0.17	-6.1	12
2005-09-21	@ Midtjylland	W 1-0	59.1	1609	1588	31.93%	27.69%	40.37%	-0.17	+6.1	18
2005-09-21	Sonderjyske	W 3-2	56.4	1597	1450	62.04%	21.76%	16.20%	+1.17	+2.4	13
2005-09-21	@ Aalborg	L 2-3	56.4	1450	1597	16.20%	21.76%	62.04%	-1.17	-2.4	7
2005-09-21	Viborg	L 1-4	57.9	1578	1594	41.19%	27.63%	31.18%	+0.20	-14.4	8
2005-09-21	@ Esbjerg	W 4-1	57.9	1594	1578	31.18%	27.63%	41.19%	-0.20	+14.4	20
2005-09-24	Brondby	L 1-3	61.5	1615	1663	36.57%	27.86%	35.58%	+0.01	-9.3	18
2005-09-24	@ Odense	W 3-1	61.5	1663	1615	35.58%	27.86%	36.57%	-0.01	+9.3	23
2005-09-25	Aalborg	W 2-0	51.7	1608	1599	44.57%	27.21%	28.22%	+0.35	+8.8	23
2005-09-25	@ Viborg	L 0-2	51.7	1599	1608	28.22%	27.21%	44.57%	-0.35	-8.8	13
2005-09-25	Esbjerg	W 5-1	50.0	1673	1564	57.64%	23.61%	18.74%	+0.95	+9.5	29
2005-09-25	@ FC Copenhagen	L 1-5	50.0	1564	1673	18.74%	23.61%	57.64%	-0.95	-9.5	8
2005-09-25	Horsens	L 1-3	51.7	1448	1489	37.53%	27.84%	34.63%	+0.05	-9.5	7
2005-09-25	@ Sonderjyske	W 3-1	51.7	1489	1448	34.63%	27.84%	37.53%	-0.05	+9.5	11
2005-09-25	Nordsjaelland	L 0-2	51.0	1517	1533	41.12%	27.63%	31.25%	+0.20	-11.7	9
2005-09-25	@ Aarhus GF	W 2-0	51.0	1533	1517	31.25%	27.63%	41.12%	-0.20	+11.7	16
2005-09-25	Silkeborg	W 1-0	50.2	1582	1516	52.17%	25.50%	22.34%	+0.69	+3.8	15
2005-09-25	@ Midtjylland	L 0-1	50.2	1516	1582	22.34%	25.50%	52.17%	-0.69	-3.8	9
2005-10-01	Silkeborg	D 2-2	70.7	1545	1512	47.85%	26.60%	25.55%	+0.49	-0.5	17
2005-10-01	@ Nordsjaelland	D 2-2	70.7	1512	1545	25.55%	26.60%	47.85%	-0.49	+0.5	10
2005-10-02	Esbjerg	D 2-2	70.4	1505	1554	36.45%	27.86%	35.69%	+0.00	-0.0	10
2005-10-02	@ Aarhus GF	D 2-2	70.4	1554	1505	35.69%	27.86%	36.45%	+0.00	+0.0	9
2005-10-02	Horsens	W 4-1	47.7	1673	1498	65.12%	20.30%	14.58%	+1.34	+5.6	26
2005-10-02	@ Brondby	L 1-4	47.7	1498	1673	14.58%	20.30%	65.12%	-1.34	-5.6	11
2005-10-02	Midtjylland	D 2-2	74.2	1591	1585	44.08%	27.28%	28.63%	+0.33	-0.3	14
2005-10-02	@ Aalborg	D 2-2	74.2	1585	1591	28.63%	27.28%	44.08%	-0.33	+0.3	16
2005-10-02	Odense	D 1-1	71.1	1683	1606	53.59%	25.06%	21.35%	+0.76	-1.0	30
2005-10-02	@ FC Copenhagen	D 1-1	71.1	1606	1683	21.35%	25.06%	53.59%	-0.76	+1.0	19
2005-10-02	Sonderjyske	D 1-1	66.7	1617	1438	65.61%	20.06%	14.33%	+1.36	-1.7	24
2005-10-02	@ Viborg	D 1-1	66.7	1438	1617	14.33%	20.06%	65.61%	-1.36	+1.7	8
2005-10-15	Viborg	L 0-1	58.9	1586	1615	39.24%	27.77%	32.99%	+0.12	-6.0	16
2005-10-15	@ Midtjylland	W 1-0	58.9	1615	1586	32.99%	27.77%	39.24%	-0.12	+6.0	27
2005-10-16	Aalborg	W 2-1	61.5	1554	1590	38.29%	27.82%	33.89%	+0.08	+5.1	12
2005-10-16	@ Esbjerg	L 1-2	61.5	1590	1554	33.89%	27.82%	38.29%	-0.08	-5.1	14
2005-10-16	Aarhus GF	W 3-1	51.4	1607	1505	56.67%	23.99%	19.34%	+0.90	+5.4	22
2005-10-16	@ Odense	L 1-3	51.4	1505	1607	19.34%	23.99%	56.67%	-0.90	-5.4	10
2005-10-16	Brondby	L 1-2	53.9	1440	1678	16.94%	22.35%	60.71%	-1.13	-2.7	8
2005-10-16	@ Sonderjyske	W 2-1	53.9	1678	1440	60.71%	22.35%	16.94%	+1.13	+2.7	29
2005-10-16	FC Copenhagen	L 0-3	46.9	1513	1682	22.29%	25.48%	52.23%	-0.72	-10.4	10
2005-10-16	@ Silkeborg	W 3-0	46.9	1682	1513	52.23%	25.48%	22.29%	+0.72	+10.4	33
2005-10-16	Nordsjaelland	D 0-0	59.1	1493	1544	36.05%	27.86%	36.09%	-0.01	+0.0	12
2005-10-16	@ Horsens	D 0-0	59.1	1544	1493	36.09%	27.86%	36.05%	+0.01	+0.0	18
2005-10-22	Horsens	W 1-0	48.0	1692	1493	67.85%	18.93%	13.23%	+1.49	+2.2	36
2005-10-22	@ FC Copenhagen	L 0-1	48.0	1493	1692	13.23%	18.93%	67.85%	-1.49	-2.2	12
2005-10-23	Aarhus GF	D 1-1	66.3	1585	1500	54.63%	24.71%	20.65%	+0.81	-1.1	15
2005-10-23	@ Aalborg	D 1-1	66.3	1500	1585	20.65%	24.71%	54.63%	-0.81	+1.1	11
2005-10-23	Esbjerg	W 1-0	52.8	1621	1559	51.67%	25.64%	22.69%	+0.67	+3.9	30
2005-10-23	@ Viborg	L 0-1	52.8	1559	1621	22.69%	25.64%	51.67%	-0.67	-3.9	12
2005-10-23	Midtjylland	W 5-0	47.6	1681	1580	56.60%	24.01%	19.39%	+0.90	+14.6	32
2005-10-23	@ Brondby	L 0-5	47.6	1580	1681	19.39%	24.01%	56.60%	-0.90	-14.6	16
2005-10-23	Odense	W 1-0	57.9	1502	1612	28.39%	27.24%	44.37%	-0.36	+6.6	13
2005-10-23	@ Silkeborg	L 0-1	57.9	1612	1502	44.37%	27.24%	28.39%	+0.36	-6.6	22
2005-10-23	Sonderjyske	W 4-2	50.5	1544	1437	57.36%	23.72%	18.92%	+0.94	+4.7	21
2005-10-23	@ Nordsjaelland	L 2-4	50.5	1437	1544	18.92%	23.72%	57.36%	-0.94	-4.7	8
2005-10-26	Aalborg	L 0-2	56.6	1606	1584	46.36%	26.90%	26.74%	+0.43	-12.8	22
2005-10-26	@ Odense	W 2-0	56.6	1584	1606	26.74%	26.90%	46.36%	-0.43	+12.8	18
2005-10-26	Brondby	D 0-0	65.5	1555	1696	25.11%	26.48%	48.42%	-0.54	+0.8	13
2005-10-26	@ Esbjerg	D 0-0	65.5	1696	1555	48.42%	26.48%	25.11%	+0.54	-0.8	33
2005-10-26	FC Copenhagen	L 1-4	47.0	1432	1694	15.46%	21.12%	63.42%	-1.27	-6.0	8
2005-10-26	@ Sonderjyske	W 4-1	47.0	1694	1432	63.42%	21.12%	15.46%	+1.27	+6.0	39
2005-10-26	Nordsjaelland	D 1-1	66.6	1565	1549	45.59%	27.04%	27.36%	+0.39	-0.6	17
2005-10-26	@ Midtjylland	D 1-1	66.6	1549	1565	27.36%	27.04%	45.59%	-0.39	+0.6	22
2005-10-26	Silkeborg	D 0-0	57.8	1491	1509	40.82%	27.66%	31.52%	+0.19	-0.3	13
2005-10-26	@ Horsens	D 0-0	57.8	1509	1491	31.52%	27.66%	40.82%	-0.19	+0.3	14
2005-10-26	Viborg	D 3-3	76.9	1501	1625	26.83%	26.92%	46.25%	-0.45	+0.4	12
2005-10-26	@ Aarhus GF	D 3-3	76.9	1625	1501	46.25%	26.92%	26.83%	+0.45	-0.4	31
2005-10-29	Aalborg	W 2-0	51.2	1625	1597	47.17%	26.75%	26.09%	+0.46	+8.2	34
2005-10-29	@ Viborg	L 0-2	51.2	1597	1625	26.09%	26.75%	47.17%	-0.46	-8.2	18
2005-10-30	Aarhus GF	W 4-0	42.3	1695	1501	67.18%	19.27%	13.55%	+1.45	+7.9	36
2005-10-30	@ Brondby	L 0-4	42.3	1501	1695	13.55%	19.27%	67.18%	-1.45	-7.9	12
2005-10-30	Esbjerg	L 0-2	53.3	1550	1556	42.45%	27.49%	30.05%	+0.26	-12.0	22
2005-10-30	@ Nordsjaelland	W 2-0	53.3	1556	1550	30.05%	27.49%	42.45%	-0.26	+12.0	16
2005-10-30	Midtjylland	W 2-0	47.9	1700	1565	60.74%	22.33%	16.92%	+1.11	+5.4	42
2005-10-30	@ FC Copenhagen	L 0-2	47.9	1565	1700	16.92%	22.33%	60.74%	-1.11	-5.4	17
2005-10-30	Odense	D 0-0	60.9	1490	1593	29.28%	27.39%	43.33%	-0.32	+0.5	14
2005-10-30	@ Horsens	D 0-0	60.9	1593	1490	43.33%	27.39%	29.28%	+0.32	-0.5	23
2005-10-30	Sonderjyske	L 0-1	53.7	1509	1426	54.33%	24.82%	20.86%	+0.79	-7.7	14
2005-10-30	@ Silkeborg	W 1-0	53.7	1426	1509	20.86%	24.82%	54.33%	-0.79	+7.7	11
2005-11-05	FC Copenhagen	W 3-1	64.5	1568	1706	25.37%	26.55%	48.08%	-0.53	+11.5	19
2005-11-05	@ Esbjerg	L 1-3	64.5	1706	1568	48.08%	26.55%	25.37%	+0.53	-11.4	42
2005-11-06	Brondby	W 3-0	56.0	1589	1703	27.95%	27.16%	44.89%	-0.39	+18.2	21
2005-11-06	@ Aalborg	L 0-3	56.0	1703	1589	44.89%	27.16%	27.95%	+0.39	-18.2	36
2005-11-06	Horsens	D 1-1	59.6	1434	1491	35.33%	27.85%	36.82%	-0.04	+0.0	12
2005-11-06	@ Sonderjyske	D 1-1	59.6	1491	1434	36.82%	27.85%	35.33%	+0.04	-0.0	15
2005-11-06	Nordsjaelland	L 1-3	55.1	1494	1538	37.13%	27.85%	35.02%	+0.03	-9.4	12
2005-11-06	@ Aarhus GF	W 3-1	55.1	1538	1494	35.02%	27.85%	37.13%	-0.03	+9.4	25
2005-11-06	Silkeborg	L 0-2	53.8	1559	1501	51.15%	25.79%	23.06%	+0.64	-13.9	17
2005-11-06	@ Midtjylland	W 2-0	53.8	1501	1559	23.06%	25.79%	51.15%	-0.64	+13.9	17
2005-11-06	Viborg	W 3-0	52.0	1593	1633	37.67%	27.84%	34.50%	+0.05	+15.0	26
2005-11-06	@ Odense	L 0-3	52.0	1633	1593	34.50%	27.84%	37.67%	-0.05	-15.0	34
2005-11-19	Viborg	W 1-0	54.8	1684	1618	52.26%	25.47%	22.27%	+0.69	+3.8	39
2005-11-19	@ Brondby	L 0-1	54.8	1618	1684	22.27%	25.47%	52.26%	-0.69	-3.8	34
2005-11-20	Aalborg	L 0-1	56.4	1547	1607	34.89%	27.85%	37.26%	-0.06	-5.5	25
2005-11-20	@ Nordsjaelland	W 1-0	56.4	1607	1547	37.26%	27.85%	34.89%	+0.06	+5.5	24
2005-11-20	Aarhus GF	D 1-1	71.0	1694	1484	68.97%	18.34%	12.69%	+1.55	-1.9	43
2005-11-20	@ FC Copenhagen	D 1-1	71.0	1484	1694	12.69%	18.34%	68.97%	-1.55	+1.9	13
2005-11-20	Esbjerg	W 2-1	61.1	1515	1580	34.25%	27.83%	37.93%	-0.09	+5.5	20
2005-11-20	@ Silkeborg	L 1-2	61.1	1580	1515	37.93%	27.83%	34.25%	+0.09	-5.5	19
2005-11-20	Midtjylland	L 3-4	66.3	1491	1545	35.62%	27.86%	36.52%	-0.03	-4.9	15
2005-11-20	@ Horsens	W 4-3	66.3	1545	1491	36.52%	27.86%	35.62%	+0.03	+4.9	20
2005-11-20	Odense	L 2-4	54.2	1434	1607	21.93%	25.32%	52.75%	-0.74	-5.5	12
2005-11-20	@ Sonderjyske	W 4-2	54.2	1607	1434	52.75%	25.32%	21.93%	+0.74	+5.5	29
2005-11-26	Brondby	L 0-1	58.6	1613	1688	32.77%	27.76%	39.48%	-0.15	-5.2	29
2005-11-26	@ Odense	W 1-0	58.6	1688	1613	39.48%	27.76%	32.77%	+0.15	+5.2	42
2005-11-27	FC Copenhagen	L 0-2	54.6	1612	1693	32.12%	27.71%	40.17%	-0.18	-9.8	24
2005-11-27	@ Aalborg	W 2-0	54.6	1693	1612	40.17%	27.71%	32.12%	+0.18	+9.8	46
2005-11-27	Horsens	D 1-1	65.5	1574	1486	55.02%	24.58%	20.40%	+0.82	-1.1	20
2005-11-27	@ Esbjerg	D 1-1	65.5	1486	1574	20.40%	24.58%	55.02%	-0.82	+1.1	16
2005-11-27	Nordsjaelland	W 4-1	51.0	1614	1542	53.04%	25.23%	21.73%	+0.73	+8.6	37
2005-11-27	@ Viborg	L 1-4	51.0	1542	1614	21.73%	25.23%	53.04%	-0.73	-8.6	25
2005-11-27	Silkeborg	W 2-0	47.2	1486	1521	38.46%	27.81%	33.73%	+0.09	+10.1	16
2005-11-27	@ Aarhus GF	L 0-2	47.2	1521	1486	33.73%	27.81%	38.46%	-0.09	-10.1	20
2005-11-27	Sonderjyske	D 2-2	68.9	1550	1429	59.07%	23.04%	17.88%	+1.02	-1.0	21
2005-11-27	@ Midtjylland	D 2-2	68.9	1429	1550	17.88%	23.04%	59.07%	-1.02	+1.0	13
2005-12-03	Odense	L 1-2	62.2	1549	1608	35.09%	27.85%	37.06%	-0.05	-5.2	21
2005-12-03	@ Midtjylland	W 2-1	62.2	1608	1549	37.06%	27.85%	35.09%	+0.05	+5.2	32
2005-12-04	Aalborg	L 1-4	53.1	1511	1603	30.61%	27.56%	41.83%	-0.25	-11.5	20
2005-12-04	@ Silkeborg	W 4-1	53.1	1603	1511	41.83%	27.56%	30.61%	+0.25	+11.5	27
2005-12-04	Aarhus GF	W 2-1	54.7	1487	1496	42.10%	27.53%	30.36%	+0.24	+4.7	19
2005-12-04	@ Horsens	L 1-2	54.7	1496	1487	30.36%	27.53%	42.10%	-0.24	-4.7	16
2005-12-04	Brondby	L 0-2	50.1	1533	1694	23.10%	25.80%	51.10%	-0.66	-7.4	25
2005-12-04	@ Nordsjaelland	W 2-0	50.1	1694	1533	51.10%	25.80%	23.10%	+0.66	+7.4	45
2005-12-04	Esbjerg	L 1-3	49.9	1430	1573	24.77%	26.38%	48.86%	-0.56	-6.8	13
2005-12-04	@ Sonderjyske	W 3-1	49.9	1573	1430	48.86%	26.38%	24.77%	+0.56	+6.8	23
2005-12-04	Viborg	W 3-1	56.6	1702	1623	53.92%	24.95%	21.13%	+0.77	+5.9	49
2005-12-04	@ FC Copenhagen	L 1-3	56.6	1623	1702	21.13%	24.95%	53.92%	-0.77	-5.9	37
2006-03-11	Sonderjyske	D 1-1	59.9	1491	1423	52.53%	25.39%	22.08%	+0.71	-1.0	17
2006-03-11	@ Aarhus GF	D 1-1	59.9	1423	1491	22.08%	25.39%	52.53%	-0.71	+1.0	14
2006-03-12	FC Copenhagen	W 3-0	52.8	1701	1708	42.36%	27.51%	30.13%	+0.25	+13.5	48
2006-03-12	@ Brondby	L 0-3	52.8	1708	1701	30.13%	27.51%	42.36%	-0.25	-13.5	49
2006-03-12	Horsens	D 2-2	73.4	1614	1492	59.18%	23.00%	17.82%	+1.03	-1.0	28
2006-03-12	@ Aalborg	D 2-2	73.4	1492	1614	17.82%	23.00%	59.18%	-1.03	+1.0	20
2006-03-12	Midtjylland	W 2-0	48.4	1580	1544	48.25%	26.51%	25.23%	+0.51	+8.0	26
2006-03-12	@ Esbjerg	L 0-2	48.4	1544	1580	25.23%	26.51%	48.25%	-0.51	-8.0	21
2006-03-12	Nordsjaelland	W 2-0	46.8	1613	1526	54.89%	24.62%	20.48%	+0.82	+6.6	35
2006-03-12	@ Odense	L 0-2	46.8	1526	1613	20.48%	24.62%	54.89%	-0.82	-6.6	25
2006-03-12	Silkeborg	L 2-3	71.9	1617	1499	58.61%	23.23%	18.16%	+1.00	-7.3	37
2006-03-12	@ Viborg	W 3-2	71.9	1499	1617	18.16%	23.23%	58.61%	-1.00	+7.3	23
2006-03-18	Brondby	W 2-0	59.6	1506	1714	19.10%	23.84%	57.06%	-0.95	+15.1	26
2006-03-18	@ Silkeborg	L 0-2	59.6	1714	1506	57.06%	23.84%	19.10%	+0.95	-15.1	48
2006-03-19	Aalborg	D 2-2	70.5	1424	1613	20.56%	24.67%	54.77%	-0.84	+0.8	15
2006-03-19	@ Sonderjyske	D 2-2	70.5	1613	1424	54.77%	24.67%	20.56%	+0.84	-0.8	29
2006-03-19	Aarhus GF	W 2-0	44.6	1536	1490	49.55%	26.21%	24.24%	+0.57	+7.7	24
2006-03-19	@ Midtjylland	L 0-2	44.6	1490	1536	24.24%	26.21%	49.55%	-0.57	-7.7	17
2006-03-19	Esbjerg	W 1-0	54.6	1620	1588	47.68%	26.64%	25.68%	+0.48	+4.3	38
2006-03-19	@ Odense	L 0-1	54.6	1588	1620	25.68%	26.64%	47.68%	-0.48	-4.3	26
2006-03-19	Nordsjaelland	D 3-3	81.2	1695	1519	65.27%	20.23%	14.50%	+1.35	-1.0	50
2006-03-19	@ FC Copenhagen	D 3-3	81.2	1519	1695	14.50%	20.23%	65.27%	-1.35	+1.0	26
2006-03-19	Viborg	W 3-1	59.8	1493	1610	27.62%	27.10%	45.28%	-0.40	+10.9	23
2006-03-19	@ Horsens	L 1-3	59.8	1610	1493	45.28%	27.10%	27.62%	+0.40	-10.9	37
2006-03-25	Odense	W 1-0	57.6	1584	1624	37.70%	27.84%	34.47%	+0.06	+5.5	29
2006-03-25	@ Esbjerg	L 0-1	57.6	1624	1584	34.47%	27.84%	37.70%	-0.06	-5.5	38
2006-03-26	Horsens	D 1-1	67.0	1599	1504	55.85%	24.29%	19.86%	+0.86	-1.2	38
2006-03-26	@ Viborg	D 1-1	67.0	1504	1599	19.86%	24.29%	55.85%	-0.86	+1.2	24
2006-03-26	Midtjylland	L 1-2	57.8	1483	1544	34.71%	27.84%	37.44%	-0.07	-5.2	17
2006-03-26	@ Aarhus GF	W 2-1	57.8	1544	1483	37.44%	27.84%	34.71%	+0.07	+5.2	27
2006-03-26	Silkeborg	W 3-1	51.6	1699	1522	65.49%	20.12%	14.39%	+1.36	+3.9	51
2006-03-26	@ Brondby	L 1-3	51.6	1522	1699	14.39%	20.12%	65.49%	-1.36	-3.9	26
2006-03-26	Sonderjyske	D 2-2	72.1	1612	1425	66.58%	19.58%	13.85%	+1.42	-1.3	30
2006-03-26	@ Aalborg	D 2-2	72.1	1425	1612	13.85%	19.58%	66.58%	-1.42	+1.3	16
2006-03-29	Aalborg	W 1-0	54.2	1694	1611	54.31%	24.82%	20.87%	+0.79	+3.6	53
2006-03-29	@ FC Copenhagen	L 0-1	54.2	1611	1694	20.87%	24.82%	54.31%	-0.79	-3.6	30
2006-03-29	Aarhus GF	W 1-0	47.5	1518	1478	48.83%	26.38%	24.79%	+0.54	+4.2	29
2006-03-29	@ Silkeborg	L 0-1	47.5	1478	1518	24.79%	26.38%	48.83%	-0.54	-4.2	17
2006-03-29	Esbjerg	W 1-0	56.3	1505	1589	31.58%	27.66%	40.76%	-0.21	+6.2	27
2006-03-29	@ Horsens	L 0-1	56.3	1589	1505	40.76%	27.66%	31.58%	+0.21	-6.2	29
2006-03-29	Midtjylland	L 0-2	43.7	1426	1549	26.93%	26.95%	46.12%	-0.44	-8.5	16
2006-03-29	@ Sonderjyske	W 2-0	43.7	1549	1426	46.12%	26.95%	26.93%	+0.44	+8.5	30
2006-03-29	Odense	W 1-0	54.4	1703	1618	54.58%	24.73%	20.69%	+0.80	+3.5	54
2006-03-29	@ Brondby	L 0-1	54.4	1618	1703	20.69%	24.73%	54.58%	-0.80	-3.5	38
2006-03-29	Viborg	L 1-3	56.6	1520	1597	32.49%	27.74%	39.77%	-0.17	-8.5	26
2006-03-29	@ Nordsjaelland	W 3-1	56.6	1597	1520	39.77%	27.74%	32.49%	+0.17	+8.5	41
2006-04-01	FC Copenhagen	L 0-4	44.2	1473	1697	17.94%	23.08%	58.98%	-1.04	-10.9	17
2006-04-01	@ Aarhus GF	W 4-0	44.2	1697	1473	58.98%	23.08%	17.94%	+1.04	+10.9	56
2006-04-02	Brondby	W 2-0	57.9	1606	1707	29.52%	27.42%	43.06%	-0.31	+12.1	44
2006-04-02	@ Viborg	L 0-2	57.9	1707	1606	43.06%	27.42%	29.52%	+0.31	-12.1	54
2006-04-02	Horsens	D 0-0	60.8	1557	1511	49.67%	26.18%	24.15%	+0.57	-0.9	31
2006-04-02	@ Midtjylland	D 0-0	60.8	1511	1557	24.15%	26.18%	49.67%	-0.57	+0.9	28
2006-04-02	Nordsjaelland	L 2-4	66.7	1607	1512	55.96%	24.25%	19.79%	+0.87	-11.5	30
2006-04-02	@ Aalborg	W 4-2	66.7	1512	1607	19.79%	24.25%	55.96%	-0.87	+11.5	29
2006-04-02	Silkeborg	W 2-0	46.8	1583	1522	51.55%	25.67%	22.77%	+0.66	+7.3	32
2006-04-02	@ Esbjerg	L 0-2	46.8	1522	1583	22.77%	25.67%	51.55%	-0.66	-7.3	29
2006-04-02	Sonderjyske	W 3-0	37.3	1615	1417	67.61%	19.05%	13.34%	+1.48	+6.0	41
2006-04-02	@ Odense	L 0-3	37.3	1417	1615	13.34%	19.05%	67.61%	-1.48	-6.0	16
2006-04-08	Aalborg	W 4-3	67.0	1695	1596	56.30%	24.12%	19.58%	+0.89	+2.9	57
2006-04-08	@ Brondby	L 3-4	67.0	1596	1695	19.58%	24.12%	56.30%	-0.89	-2.9	30
2006-04-09	Aarhus GF	W 3-1	48.4	1523	1462	51.51%	25.69%	22.81%	+0.66	+6.3	32
2006-04-09	@ Nordsjaelland	L 1-3	48.4	1462	1523	22.81%	25.69%	51.51%	-0.66	-6.3	17
2006-04-09	Esbjerg	W 2-1	58.5	1708	1590	58.64%	23.22%	18.14%	+1.00	+2.9	59
2006-04-09	@ FC Copenhagen	L 1-2	58.5	1590	1708	18.14%	23.22%	58.64%	-1.00	-2.9	32
2006-04-09	Midtjylland	D 0-0	60.4	1515	1557	37.45%	27.84%	34.71%	+0.04	-0.1	30
2006-04-09	@ Silkeborg	D 0-0	60.4	1557	1515	34.71%	27.84%	37.45%	-0.04	+0.1	32
2006-04-09	Odense	D 2-2	75.5	1618	1621	43.00%	27.43%	29.57%	+0.28	-0.3	45
2006-04-09	@ Viborg	D 2-2	75.5	1621	1618	29.57%	27.43%	43.00%	-0.28	+0.3	42
2006-04-09	Sonderjyske	W 2-0	38.8	1512	1411	56.50%	24.05%	19.45%	+0.90	+6.3	31
2006-04-09	@ Horsens	L 0-2	38.8	1411	1512	19.45%	24.05%	56.50%	-0.90	-6.3	16
2006-04-13	Brondby	L 0-1	49.3	1456	1698	16.75%	22.20%	61.04%	-1.15	-2.8	17
2006-04-13	@ Aarhus GF	W 1-0	49.3	1698	1456	61.04%	22.20%	16.75%	+1.15	+2.8	60
2006-04-13	FC Copenhagen	L 1-3	57.0	1557	1711	23.68%	26.02%	50.31%	-0.63	-6.6	32
2006-04-13	@ Midtjylland	W 3-1	57.0	1711	1557	50.31%	26.02%	23.68%	+0.63	+6.6	62
2006-04-13	Horsens	W 3-0	44.1	1621	1518	56.83%	23.92%	19.24%	+0.91	+9.0	45
2006-04-13	@ Odense	L 0-3	44.1	1518	1621	19.24%	23.92%	56.83%	-0.91	-9.0	31
2006-04-13	Nordsjaelland	W 4-0	45.0	1587	1529	51.15%	25.79%	23.06%	+0.64	+14.0	35
2006-04-13	@ Esbjerg	L 0-4	45.0	1529	1587	23.06%	25.79%	51.15%	-0.64	-14.0	32
2006-04-13	Silkeborg	W 2-0	47.0	1405	1514	28.50%	27.26%	44.24%	-0.36	+12.4	19
2006-04-13	@ Sonderjyske	L 0-2	47.0	1514	1405	44.24%	27.26%	28.50%	+0.36	-12.4	30
2006-04-13	Viborg	D 1-1	68.9	1593	1618	39.89%	27.73%	32.38%	+0.15	-0.2	31
2006-04-13	@ Aalborg	D 1-1	68.9	1618	1593	32.38%	27.73%	39.89%	-0.15	+0.2	46
2006-04-16	Horsens	W 2-1	55.7	1502	1509	42.41%	27.50%	30.09%	+0.25	+4.6	33
2006-04-16	@ Silkeborg	L 1-2	55.7	1509	1502	30.09%	27.50%	42.41%	-0.25	-4.6	31
2006-04-17	Aarhus GF	D 2-2	72.9	1618	1453	64.05%	20.82%	15.13%	+1.28	-1.2	47
2006-04-17	@ Viborg	D 2-2	72.9	1453	1618	15.13%	20.82%	64.05%	-1.28	+1.2	18
2006-04-17	Esbjerg	W 3-0	47.6	1700	1601	56.34%	24.11%	19.55%	+0.89	+9.1	63
2006-04-17	@ Brondby	L 0-3	47.6	1601	1700	19.55%	24.11%	56.34%	-0.89	-9.1	35
2006-04-17	Midtjylland	D 2-2	70.6	1515	1550	38.48%	27.81%	33.71%	+0.09	-0.1	33
2006-04-17	@ Nordsjaelland	D 2-2	70.6	1550	1515	33.71%	27.81%	38.48%	-0.09	+0.1	33
2006-04-17	Odense	D 0-0	64.6	1593	1630	38.11%	27.82%	34.07%	+0.07	-0.1	32
2006-04-17	@ Aalborg	D 0-0	64.6	1630	1593	34.07%	27.82%	38.11%	-0.07	+0.1	46
2006-04-17	Sonderjyske	W 4-1	43.0	1718	1418	77.54%	13.59%	8.87%	+2.09	+3.0	65
2006-04-17	@ FC Copenhagen	L 1-4	43.0	1418	1718	8.87%	13.59%	77.54%	-2.09	-3.0	19
2006-04-22	FC Copenhagen	L 0-1	51.8	1504	1721	18.48%	23.45%	58.07%	-1.00	-3.2	31
2006-04-22	@ Horsens	W 1-0	51.8	1721	1504	58.07%	23.45%	18.48%	+1.00	+3.1	68
2006-04-23	Aalborg	D 1-1	64.5	1454	1593	25.31%	26.53%	48.16%	-0.53	+0.7	19
2006-04-23	@ Aarhus GF	D 1-1	64.5	1593	1454	48.16%	26.53%	25.31%	+0.53	-0.7	33
2006-04-23	Brondby	W 2-0	59.1	1550	1709	23.21%	25.85%	50.94%	-0.66	+13.8	36
2006-04-23	@ Midtjylland	L 0-2	59.1	1709	1550	50.94%	25.85%	23.21%	+0.66	-13.8	63
2006-04-23	Nordsjaelland	D 2-2	65.8	1415	1515	29.53%	27.42%	43.05%	-0.31	+0.3	20
2006-04-23	@ Sonderjyske	D 2-2	65.8	1515	1415	43.05%	27.42%	29.53%	+0.31	-0.3	34
2006-04-23	Silkeborg	W 2-1	54.9	1630	1507	59.29%	22.95%	17.76%	+1.03	+2.8	49
2006-04-23	@ Odense	L 1-2	54.9	1507	1630	17.76%	22.95%	59.29%	-1.03	-2.8	33
2006-04-23	Viborg	W 3-2	67.8	1592	1617	39.91%	27.73%	32.36%	+0.15	+4.6	38
2006-04-23	@ Esbjerg	L 2-3	67.8	1617	1592	32.36%	27.73%	39.91%	-0.15	-4.7	47
2006-04-26	FC Copenhagen	D 1-1	70.7	1515	1724	19.03%	23.80%	57.17%	-0.95	+1.2	35
2006-04-26	@ Nordsjaelland	D 1-1	70.7	1724	1515	57.17%	23.80%	19.03%	+0.95	-1.2	69
2006-04-29	Aarhus GF	W 1-0	46.6	1415	1455	37.68%	27.84%	34.48%	+0.05	+5.5	23
2006-04-29	@ Sonderjyske	L 0-1	46.6	1455	1415	34.48%	27.84%	37.68%	-0.05	-5.5	19
2006-04-30	Aalborg	L 0-1	53.2	1501	1592	30.77%	27.58%	41.65%	-0.25	-5.0	31
2006-04-30	@ Horsens	W 1-0	53.2	1592	1501	41.65%	27.58%	30.77%	+0.25	+5.0	36
2006-04-30	Brondby	D 0-0	67.3	1723	1696	47.06%	26.77%	26.17%	+0.46	-0.7	70
2006-04-30	@ FC Copenhagen	D 0-0	67.3	1696	1723	26.17%	26.77%	47.06%	-0.46	+0.7	64
2006-04-30	Esbjerg	D 0-0	63.2	1564	1597	38.75%	27.80%	33.46%	+0.10	-0.2	37
2006-04-30	@ Midtjylland	D 0-0	63.2	1597	1564	33.46%	27.80%	38.75%	-0.10	+0.2	39
2006-04-30	Odense	L 0-3	47.9	1516	1633	27.63%	27.10%	45.28%	-0.40	-12.6	35
2006-04-30	@ Nordsjaelland	W 3-0	47.9	1633	1516	45.28%	27.10%	27.63%	+0.40	+12.6	52
2006-04-30	Viborg	L 1-3	55.3	1504	1612	28.62%	27.28%	44.09%	-0.35	-7.7	33
2006-04-30	@ Silkeborg	W 3-1	55.3	1612	1504	44.09%	27.28%	28.62%	+0.35	+7.7	50
2006-05-04	FC Copenhagen	L 0-1	58.0	1620	1722	29.37%	27.40%	43.23%	-0.31	-4.8	50
2006-05-04	@ Viborg	W 1-0	58.0	1722	1620	43.23%	27.40%	29.37%	+0.31	+4.8	73
2006-05-04	Horsens	L 0-1	49.8	1450	1496	36.79%	27.85%	35.36%	+0.02	-5.7	19
2006-05-04	@ Aarhus GF	W 1-0	49.8	1496	1450	35.36%	27.85%	36.79%	-0.02	+5.7	34
2006-05-04	Midtjylland	L 0-1	62.7	1646	1564	54.20%	24.86%	20.94%	+0.78	-7.7	52
2006-05-04	@ Odense	W 1-0	62.7	1564	1646	20.94%	24.86%	54.20%	-0.78	+7.7	40
2006-05-04	Nordsjaelland	W 3-1	50.6	1696	1504	67.12%	19.30%	13.58%	+1.45	+3.6	67
2006-05-04	@ Brondby	L 1-3	50.6	1504	1696	13.58%	19.30%	67.12%	-1.45	-3.6	35
2006-05-04	Silkeborg	W 1-0	48.8	1597	1496	56.55%	24.03%	19.42%	+0.90	+3.3	39
2006-05-04	@ Aalborg	L 0-1	48.8	1496	1597	19.42%	24.03%	56.55%	-0.90	-3.3	33
2006-05-04	Sonderjyske	W 3-2	54.3	1597	1420	65.38%	20.18%	14.45%	+1.35	+2.1	42
2006-05-04	@ Esbjerg	L 2-3	54.3	1420	1597	14.45%	20.18%	65.38%	-1.35	-2.1	23
2006-05-07	Aalborg	L 2-4	64.2	1572	1600	39.33%	27.76%	32.90%	+0.12	-8.8	40
2006-05-07	@ Midtjylland	W 4-2	64.2	1600	1572	32.90%	27.76%	39.33%	-0.12	+8.8	42
2006-05-07	Aarhus GF	L 1-3	61.3	1599	1444	62.97%	21.33%	15.70%	+1.22	-14.1	42
2006-05-07	@ Esbjerg	W 3-1	61.3	1444	1599	15.70%	21.33%	62.97%	-1.22	+14.1	22
2006-05-07	Brondby	W 4-1	62.1	1502	1700	19.87%	24.29%	55.85%	-0.89	+18.2	37
2006-05-07	@ Horsens	L 1-4	62.1	1700	1502	55.85%	24.29%	19.87%	+0.89	-18.2	67
2006-05-07	FC Copenhagen	W 1-0	61.9	1638	1727	31.01%	27.61%	41.38%	-0.23	+6.2	55
2006-05-07	@ Odense	L 0-1	61.9	1727	1638	41.38%	27.61%	31.01%	+0.23	-6.2	73
2006-05-07	Nordsjaelland	W 2-0	45.5	1493	1500	42.38%	27.50%	30.11%	+0.25	+9.3	36
2006-05-07	@ Silkeborg	L 0-2	45.5	1500	1493	30.11%	27.50%	42.38%	-0.25	-9.3	35
2006-05-07	Viborg	L 0-4	40.7	1418	1615	19.96%	24.34%	55.70%	-0.88	-12.2	23
2006-05-07	@ Sonderjyske	W 4-0	40.7	1615	1418	55.70%	24.34%	19.96%	+0.88	+12.2	53
2006-05-14	Esbjerg	W 1-0	54.6	1609	1585	46.66%	26.85%	26.49%	+0.44	+4.4	45
2006-05-14	@ Aalborg	L 0-1	54.6	1585	1609	26.49%	26.85%	46.66%	-0.44	-4.4	42
2006-05-14	Horsens	W 3-0	45.0	1491	1520	39.23%	27.77%	33.00%	+0.12	+14.5	38
2006-05-14	@ Nordsjaelland	L 0-3	45.0	1520	1491	33.00%	27.77%	39.23%	-0.12	-14.5	37
2006-05-14	Midtjylland	D 1-1	69.1	1627	1563	52.01%	25.54%	22.45%	+0.68	-0.9	54
2006-05-14	@ Viborg	D 1-1	69.1	1563	1627	22.45%	25.54%	52.01%	-0.68	+0.9	41
2006-05-14	Odense	L 0-2	45.9	1458	1644	20.84%	24.81%	54.36%	-0.82	-6.7	22
2006-05-14	@ Aarhus GF	W 2-0	45.9	1644	1458	54.36%	24.81%	20.84%	+0.82	+6.7	58
2006-05-14	Silkeborg	L 2-3	76.4	1720	1502	69.80%	17.90%	12.30%	+1.60	-8.3	73
2006-05-14	@ FC Copenhagen	W 3-2	76.4	1502	1720	12.30%	17.90%	69.80%	-1.60	+8.3	39
2006-05-14	Sonderjyske	L 1-2	68.2	1682	1406	75.38%	14.82%	9.80%	+1.94	-9.2	67
2006-05-14	@ Brondby	W 2-1	68.2	1406	1682	9.80%	14.82%	75.38%	-1.94	+9.2	26

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	2006-05-14	9.80%	Sonderjyske	1406	2	@ Brondby	1682	1
2	2006-05-14	12.30%	Silkeborg	1502	3	@ FC Copenhagen	1720	2
3	2005-08-21	15.58%	Sonderjyske	1459	3	@ Odense	1616	2
4	2006-05-07	15.70%	Aarhus GF	1444	3	@ Esbjerg	1599	1
5	2006-03-12	18.16%	Silkeborg	1499	3	@ Viborg	1617	2
6	2006-03-18	19.10%	@ Silkeborg	1506	2	Brondby	1714	0
7	2006-04-02	19.79%	Nordsjaelland	1512	4	@ Aalborg	1607	2
8	2006-05-07	19.87%	@ Horsens	1502	4	Brondby	1700	1
9	2005-08-28	20.20%	@ Aarhus GF	1496	3	Brondby	1690	0
10	2005-10-30	20.86%	Sonderjyske	1426	1	@ Silkeborg	1509	0
11	2006-05-04	20.94%	Midtjylland	1564	1	@ Odense	1646	0
12	2005-09-11	22.53%	Aarhus GF	1517	1	@ Esbjerg	1581	0
13	2005-11-06	23.06%	Silkeborg	1501	2	@ Midtjylland	1559	0
14	2006-04-23	23.21%	@ Midtjylland	1550	2	Brondby	1709	0
15	2005-11-05	25.37%	@ Esbjerg	1568	3	FC Copenhagen	1706	1
16	2005-09-11	26.31%	Horsens	1503	1	@ Silkeborg	1529	0
17	2005-10-26	26.74%	Aalborg	1584	2	@ Odense	1606	0
18	2006-03-19	27.62%	@ Horsens	1493	3	Viborg	1610	1
19	2005-11-06	27.95%	@ Aalborg	1589	3	Brondby	1703	0
20	2005-10-23	28.39%	@ Silkeborg	1502	1	Odense	1612	0
21	2006-04-13	28.50%	@ Sonderjyske	1405	2	Silkeborg	1514	0
22	2006-04-02	29.52%	@ Viborg	1606	2	Brondby	1707	0
23	2005-08-14	29.74%	@ Nordsjaelland	1495	3	Midtjylland	1594	2
24	2005-10-30	30.05%	Esbjerg	1556	2	@ Nordsjaelland	1550	0
25	2005-08-28	30.34%	@ Nordsjaelland	1499	2	Esbjerg	1593	0

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	2005-08-28	21.44	@ Aarhus GF	3	1496	20.20%	Brondby	0	1690	55.33%	24.47%
2	2005-09-18	21.09	@ Nordsjaelland	5	1512	43.60%	Horsens	0	1510	29.05%	27.35%
3	2005-08-13	18.28	Odense	4	1598	40.77%	@ Aarhus GF	0	1514	31.57%	27.66%
4	2006-05-07	18.22	@ Horsens	4	1502	19.87%	Brondby	1	1700	55.85%	24.29%
5	2005-11-06	18.20	@ Aalborg	3	1589	27.95%	Brondby	0	1703	44.89%	27.16%
6	2005-07-20	16.16	Viborg	3	1560	33.80%	@ Horsens	0	1525	38.38%	27.81%
7	2006-03-18	15.13	@ Silkeborg	2	1506	19.10%	Brondby	0	1714	57.06%	23.84%
8	2005-08-07	14.98	@ Esbjerg	4	1589	48.82%	Silkeborg	0	1549	24.79%	26.38%
9	2005-11-06	14.95	@ Odense	3	1593	37.67%	Viborg	0	1633	34.50%	27.84%
10	2005-10-23	14.60	@ Brondby	5	1681	56.60%	Midtjylland	0	1580	19.39%	24.01%
11	2006-05-14	14.47	@ Nordsjaelland	3	1491	39.23%	Horsens	0	1520	33.00%	27.77%
12	2005-09-21	14.37	Viborg	4	1594	31.18%	@ Esbjerg	1	1578	41.19%	27.63%
13	2006-05-07	14.13	Aarhus GF	3	1444	15.70%	@ Esbjerg	1	1599	62.97%	21.33%
14	2006-04-13	14.02	@ Esbjerg	4	1587	51.15%	Nordsjaelland	0	1529	23.06%	25.79%
15	2005-11-06	13.88	Silkeborg	2	1501	23.06%	@ Midtjylland	0	1559	51.15%	25.79%
16	2006-04-23	13.83	@ Midtjylland	2	1550	23.21%	Brondby	0	1709	50.94%	25.85%
17	2006-03-12	13.49	@ Brondby	3	1701	42.36%	FC Copenhagen	0	1708	30.13%	27.51%
18	2005-10-26	12.84	Aalborg	2	1584	26.74%	@ Odense	0	1606	46.36%	26.90%
19	2006-04-30	12.58	Odense	3	1633	45.28%	@ Nordsjaelland	0	1516	27.63%	27.10%
20	2006-04-13	12.39	@ Sonderjyske	2	1405	28.50%	Silkeborg	0	1514	44.24%	27.26%
21	2006-05-07	12.20	Viborg	4	1615	55.70%	@ Sonderjyske	0	1418	19.96%	24.34%
22	2006-04-02	12.13	@ Viborg	2	1606	29.52%	Brondby	0	1707	43.06%	27.42%
23	2005-10-30	12.00	Esbjerg	2	1556	30.05%	@ Nordsjaelland	0	1550	42.45%	27.49%
24	2005-08-28	11.94	@ Nordsjaelland	2	1499	30.34%	Esbjerg	0	1593	42.13%	27.53%
25	2005-09-25	11.71	Nordsjaelland	2	1533	31.25%	@ Aarhus GF	0	1517	41.12%	27.63%

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	2006-03-19	81.2	@ FC Copenhagen	3	1695	65.27%	Nordsjaelland	3	1519	14.50%	20.23%
2	2005-10-26	76.9	@ Aarhus GF	3	1501	26.83%	Viborg	3	1625	46.25%	26.92%
3	2006-05-14	76.4	Silkeborg	3	1502	12.30%	@ FC Copenhagen	2	1720	69.80%	17.90%
4	2005-08-21	76.3	@ Midtjylland	3	1588	55.63%	Aarhus GF	3	1495	20.00%	24.37%
5	2006-04-09	75.5	@ Viborg	2	1618	43.00%	Odense	2	1621	29.57%	27.43%
6	2005-07-19	74.6	@ Esbjerg	2	1599	43.88%	Odense	2	1595	28.80%	27.31%
7	2005-10-02	74.2	@ Aalborg	2	1591	44.08%	Midtjylland	2	1585	28.63%	27.28%
8	2006-03-12	73.4	@ Aalborg	2	1614	59.18%	Horsens	2	1492	17.82%	23.00%
9	2006-04-17	72.9	@ Viborg	2	1618	64.05%	Aarhus GF	2	1453	15.13%	20.82%
10	2006-03-26	72.1	@ Aalborg	2	1612	66.58%	Sonderjyske	2	1425	13.85%	19.58%
11	2006-03-12	71.9	Silkeborg	3	1499	18.16%	@ Viborg	2	1617	58.61%	23.23%
12	2005-08-21	71.3	Sonderjyske	3	1459	15.58%	@ Odense	2	1616	63.20%	21.22%
13	2005-10-02	71.1	@ FC Copenhagen	1	1683	53.59%	Odense	1	1606	21.35%	25.06%
14	2005-11-20	71.0	@ FC Copenhagen	1	1694	68.97%	Aarhus GF	1	1484	12.69%	18.34%
15	2005-09-21	70.9	@ Brondby	1	1664	42.07%	FC Copenhagen	1	1673	30.39%	27.54%
16	2005-10-01	70.7	@ Nordsjaelland	2	1545	47.85%	Silkeborg	2	1512	25.55%	26.60%
17	2006-04-26	70.7	@ Nordsjaelland	1	1515	19.03%	FC Copenhagen	1	1724	57.17%	23.80%
18	2006-04-17	70.6	@ Nordsjaelland	2	1515	38.48%	Midtjylland	2	1550	33.71%	27.81%
19	2006-03-19	70.5	@ Sonderjyske	2	1424	20.56%	Aalborg	2	1613	54.77%	24.67%
20	2005-10-02	70.4	@ Aarhus GF	2	1505	36.45%	Esbjerg	2	1554	35.69%	27.86%
21	2005-08-07	69.2	@ FC Copenhagen	1	1644	60.32%	Aarhus GF	1	1512	17.16%	22.52%
22	2006-05-14	69.1	@ Viborg	1	1627	52.01%	Midtjylland	1	1563	22.45%	25.54%
23	2005-11-27	68.9	@ Midtjylland	2	1550	59.07%	Sonderjyske	2	1429	17.88%	23.04%
24	2006-04-13	68.9	@ Aalborg	1	1593	39.89%	Viborg	1	1618	32.38%	27.73%
25	2005-07-31	68.7	Brondby	3	1679	40.88%	@ Esbjerg	2	1594	31.47%	27.65%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2006-04-02	37.3	@ Odense	3	1615	67.61%	Sonderjyske	0	1417	13.34%	19.05%
2	2006-04-09	38.8	@ Horsens	2	1512	56.50%	Sonderjyske	0	1411	19.45%	24.05%
3	2005-09-10	40.2	@ Brondby	3	1668	68.75%	Sonderjyske	0	1460	12.80%	18.46%
4	2006-05-07	40.7	Viborg	4	1615	55.70%	@ Sonderjyske	0	1418	19.96%	24.34%
5	2005-10-30	42.3	@ Brondby	4	1695	67.18%	Aarhus GF	0	1501	13.55%	19.27%
6	2006-04-17	43.0	@ FC Copenhagen	4	1718	77.54%	Sonderjyske	1	1418	8.87%	13.59%
7	2006-03-29	43.7	Midtjylland	2	1549	46.12%	@ Sonderjyske	0	1426	26.93%	26.95%
8	2006-04-13	44.1	@ Odense	3	1621	56.83%	Horsens	0	1518	19.24%	23.92%
9	2006-04-01	44.2	FC Copenhagen	4	1697	58.98%	@ Aarhus GF	0	1473	17.94%	23.08%
10	2006-03-19	44.6	@ Midtjylland	2	1536	49.55%	Aarhus GF	0	1490	24.24%	26.21%
11	2005-09-18	44.8	@ Nordsjaelland	5	1512	43.60%	Horsens	0	1510	29.05%	27.35%
12	2006-04-13	45.0	@ Esbjerg	4	1587	51.15%	Nordsjaelland	0	1529	23.06%	25.79%
13	2006-05-14	45.0	@ Nordsjaelland	3	1491	39.23%	Horsens	0	1520	33.00%	27.77%
14	2006-05-07	45.5	@ Silkeborg	2	1493	42.38%	Nordsjaelland	0	1500	30.11%	27.50%
15	2005-07-24	45.6	@ FC Copenhagen	2	1635	59.56%	Horsens	0	1509	17.60%	22.84%
16	2006-05-14	45.9	Odense	2	1644	54.36%	@ Aarhus GF	0	1458	20.84%	24.81%
17	2005-08-07	46.3	@ Esbjerg	4	1589	48.82%	Silkeborg	0	1549	24.79%	26.38%
18	2006-04-29	46.6	@ Sonderjyske	1	1415	37.68%	Aarhus GF	0	1455	34.48%	27.84%
19	2006-03-12	46.8	@ Odense	2	1613	54.89%	Nordsjaelland	0	1526	20.48%	24.62%
20	2006-04-02	46.8	@ Esbjerg	2	1583	51.55%	Silkeborg	0	1522	22.77%	25.67%
21	2005-10-16	46.9	FC Copenhagen	3	1682	52.23%	@ Silkeborg	0	1513	22.29%	25.48%
22	2005-08-28	47.0	@ FC Copenhagen	2	1650	58.33%	Silkeborg	0	1535	18.32%	23.34%
23	2005-10-26	47.0	FC Copenhagen	4	1694	63.42%	@ Sonderjyske	1	1432	15.46%	21.12%
24	2006-04-13	47.0	@ Sonderjyske	2	1405	28.50%	Silkeborg	0	1514	44.24%	27.26%
25	2005-11-27	47.2	@ Aarhus GF	2	1486	38.46%	Silkeborg	0	1521	33.73%	27.81%