2006-07 Superliga Season

198 games

Final

Champion

FC Copenhagen

76 points · 6th Title

Last Title: 2005-06

Relegated

Silkeborg

22 pts

Vejle BK · 25 pts

Biggest Overachiever

FC Copenhagen

11.53 points above expected

76 points · 64.47 expected points

Biggest Disappointment

Silkeborg

10.53 points below expected

22 points · 32.53 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	23	7	3	76	60	23	+37	64.47	+11.53
2	Midtjylland	33	18	9	6	63	58	39	+19	54.55	+8.45
3	Aalborg	33	18	7	8	61	55	35	+20	50.83	+10.17
4	Odense	33	17	7	9	58	46	36	+10	55.29	+2.71
5	Nordsjaelland	33	16	9	8	57	67	39	+28	50.80	+6.20
6	Brondby	33	13	10	10	49	50	38	+12	53.92	-4.92
7	Esbjerg	33	10	10	13	40	46	51	-5	45.02	-5.02
8	Randers	33	10	8	15	38	41	53	-12	37.33	+0.67
9	Viborg	33	8	5	20	29	34	64	-30	37.71	-8.71
10	Horsens	33	6	10	17	28	29	53	-24	35.04	-7.04
11	Vejle BK Relegated	33	6	7	20	25	35	64	-29	28.46	-3.46
12	Silkeborg Relegated	33	5	7	21	22	34	60	-26	32.53	-10.53

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	76	64.47	+11.53
2	Aalborg	61	50.83	+10.17
3	Midtjylland	63	54.55	+8.45
4	Nordsjaelland	57	50.80	+6.20
5	Odense	58	55.29	+2.71

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Silkeborg	22	32.53	-10.53
2	Viborg	29	37.71	-8.71
3	Horsens	28	35.04	-7.04
4	Esbjerg	40	45.02	-5.02
5	Brondby	49	53.92	-4.92

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	Midtjylland	6	Oct 15 – Nov 12	1 in 153
2	Esbjerg	2	May 24 – May 27	1 in 65
3	FC Copenhagen	7	Mar 31 – Apr 29	1 in 39
4	Odense	4	Aug 20 – Sep 17	1 in 35
5	Vejle BK	2	Oct 22 – Oct 25	1 in 30

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Vejle BK	9	Jul 19 – Sep 16	1 in 473
2	Silkeborg	7	Oct 22 – Mar 11	1 in 86
3	Odense	3	May 20 – May 27	1 in 61
4	Nordsjaelland	3	Oct 22 – Oct 28	1 in 48
5	Viborg	5	Apr 18 – May 9	1 in 31

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	FC Copenhagen	21	Sep 9 – Apr 29	1 in 124
2	Midtjylland	13	Oct 1 – Apr 5	1 in 96
3	Odense	10	Aug 2 – Oct 15	1 in 44
4	Aalborg	9	Apr 9 – May 19	1 in 32
5	Brondby	9	Jul 19 – Sep 24	1 in 18

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Brondby	8	Sep 24 – Nov 5	1 in 96
2	Esbjerg	10	Nov 19 – Apr 29	1 in 80
3	Vejle BK	12	Jul 19 – Oct 15	1 in 28
4	Silkeborg	11	Sep 24 – Mar 11	1 in 16
5	Aalborg	4	Sep 9 – Sep 30	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	1830	76	-9	10	11.3	-1.3
Midtjylland	1716	63	-25	10	9.7	+0.3
Aalborg	1722	61	+32	10	7.9	+2.1
Odense	1687	58	-27	6	9.0	-3.0
Nordsjaelland	1742	57	+19	11	9.8	+1.2
Brondby	1667	49	+3	7	7.0	+0.0
Esbjerg	1598	40	+13	7	5.4	+1.6
Randers	1546	38	-9	4	5.3	-1.3
Viborg	1493	29	+4	4	3.3	+0.7
Horsens	1491	28	-43	1	5.7	-4.7
Vejle BK	1516	25	+32	7	4.1	+2.9
Silkeborg	1513	22	+9	6	4.6	+1.4

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	BRO	ESB	FC	HOR	MID	NOR	ODE	RAN	SIL	VB	VIB
Aalborg	—	2-1-0 3.82	3-0-0 4.70	2-0-1 2.70	2-1-0 5.40	0-0-3 3.67	0-2-1 4.39	1-1-1 4.22	1-1-1 5.80	3-0-0 5.60	2-1-0 5.94	2-0-1 5.12
Brondby	0-1-2 4.41	—	2-1-0 5.16	0-0-3 2.93	2-1-0 5.74	0-2-1 4.17	2-1-0 4.10	1-1-1 3.78	1-1-1 5.57	1-1-1 6.12	2-0-1 6.24	2-1-0 5.57
Esbjerg	0-0-3 3.56	0-1-2 3.10	—	1-2-0 2.45	0-2-1 4.93	2-0-1 3.06	1-1-1 3.93	1-1-1 3.30	1-0-2 4.87	2-0-1 5.37	1-1-1 5.73	1-2-0 4.81
FC Copenhagen	1-0-2 5.57	3-0-0 5.33	0-2-1 5.87	—	3-0-0 6.18	2-1-0 4.96	2-1-0 5.54	1-2-0 5.30	3-0-0 6.58	3-0-0 6.41	2-1-0 6.65	3-0-0 6.18
Horsens	0-1-2 2.85	0-1-2 2.54	1-2-0 3.31	0-0-3 2.16	—	1-1-1 2.41	0-1-2 2.68	0-0-3 2.83	1-0-2 4.14	2-1-0 4.35	0-2-1 4.77	1-1-1 4.02
Midtjylland	3-0-0 4.56	1-2-0 4.08	1-0-2 5.20	0-1-2 3.28	1-1-1 5.88	—	1-2-0 4.28	1-1-1 3.79	2-1-0 5.80	3-0-0 5.96	2-1-0 6.03	3-0-0 5.40
Nordsjaelland	1-2-0 3.84	0-1-2 4.14	1-1-1 4.31	0-1-2 2.73	2-1-0 5.59	0-2-1 3.95	—	2-0-1 3.76	3-0-0 5.45	2-1-0 5.85	2-0-1 6.22	3-0-0 5.67
Odense	1-1-1 4.02	1-1-1 4.45	1-1-1 4.94	0-2-1 2.95	3-0-0 5.44	1-1-1 4.45	1-0-2 4.48	—	1-1-1 5.81	3-0-0 6.08	3-0-0 5.96	2-0-1 5.87
Randers	1-1-1 2.49	1-1-1 2.70	2-0-1 3.37	0-0-3 1.78	2-0-1 4.10	0-1-2 2.48	0-0-3 2.82	1-1-1 2.48	—	0-3-0 4.84	2-0-1 5.25	1-1-1 4.09
Silkeborg	0-0-3 2.67	1-1-1 2.19	1-0-2 2.89	0-0-3 1.96	0-1-2 3.89	0-0-3 2.35	0-1-2 2.44	0-0-3 2.23	0-3-0 3.40	—	2-1-0 4.28	1-0-2 3.45
Vejle BK	0-1-2 2.35	1-0-2 2.08	1-1-1 2.55	0-1-2 1.73	1-2-0 3.46	0-1-2 2.30	1-0-2 2.10	0-0-3 2.36	1-0-2 3.00	0-1-2 3.95	—	1-0-2 3.22
Viborg	1-0-2 3.13	0-1-2 2.70	0-2-1 3.43	0-0-3 2.16	1-1-1 4.21	0-0-3 2.90	0-0-3 2.61	1-0-2 2.43	1-1-1 4.14	2-0-1 4.80	2-0-1 5.03	—

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	0.79	+13.0
Allowed	0.92	-12.9
Differential	0.94	+7.1

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	5.56%	7.58%	6.31%	3.03%	1.77%	0.25%	24.49%
1	7.58%	13.13%	8.59%	4.55%	1.26%	0.51%	35.61%
2	6.31%	8.59%	4.55%	2.27%	1.01%	0.25%	22.98%
3	3.03%	4.55%	2.27%	1.01%	—	0.25%	11.11%
4	1.77%	1.26%	1.01%	—	—	0.25%	4.29%
5+	0.25%	0.51%	0.25%	0.25%	0.25%	—	1.52%
Total	24.49%	35.61%	22.98%	11.11%	4.29%	1.52%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.40	1.40	+0.00
SD	1.20	1.20	1.76
CV	0.85	0.85	—
Max	6	6	+5
Min	0	0	-5

Games Played: 198

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	9.09%	6.06%	3.03%	3.03%	—	24.24%
1	3.03%	18.18%	3.03%	—	—	—	24.24%
2	18.18%	12.12%	—	—	—	—	30.30%
3	—	6.06%	3.03%	—	—	—	9.09%
4	6.06%	3.03%	—	—	—	—	9.09%
5+	—	—	—	—	3.03%	—	3.03%
Total	30.30%	48.48%	12.12%	3.03%	6.06%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.67	1.06	+0.61
SD	1.45	1.06	1.84
CV	0.87	1.00	—
Max	6	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%	21.21%	6.06%	6.06%	—	—	36.36%
2	9.09%	9.09%	3.03%	3.03%	—	—	24.24%
3	9.09%	6.06%	—	3.03%	—	—	18.18%
4	3.03%	—	—	—	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	27.27%	45.45%	12.12%	15.15%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.52	1.15	+0.36
SD	1.09	1.00	1.67
CV	0.72	0.87	—
Max	4	3	+4
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	3.03%	9.09%	6.06%	—	—	24.24%
1	6.06%	15.15%	9.09%	6.06%	—	—	36.36%
2	3.03%	9.09%	6.06%	3.03%	—	—	21.21%
3	3.03%	3.03%	—	3.03%	—	3.03%	12.12%
4	3.03%	—	3.03%	—	—	—	6.06%
5+	—	—	—	—	—	—	—
Total	21.21%	30.30%	27.27%	18.18%	—	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.39	1.55	-0.15
SD	1.17	1.20	1.66
CV	0.84	0.78	—
Max	4	5	+4
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	—	3.03%	—	—	—	12.12%
1	27.27%	6.06%	6.06%	—	—	—	39.39%
2	3.03%	6.06%	6.06%	—	—	—	15.15%
3	6.06%	15.15%	—	—	—	—	21.21%
4	3.03%	6.06%	3.03%	—	—	—	12.12%
5+	—	—	—	—	—	—	—
Total	48.48%	33.33%	18.18%	—	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.82	0.70	+1.12
SD	1.26	0.77	1.32
CV	0.69	1.10	—
Max	4	2	+4
Min	0	0	-2

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	12.12%	12.12%	9.09%	3.03%	6.06%	—	42.42%
1	3.03%	9.09%	9.09%	6.06%	3.03%	—	30.30%
2	3.03%	9.09%	9.09%	3.03%	—	—	24.24%
3	—	3.03%	—	—	—	—	3.03%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	18.18%	33.33%	27.27%	12.12%	9.09%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.88	1.61	-0.73
SD	0.89	1.20	1.51
CV	1.02	0.75	—
Max	3	4	+2
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	15.15%	12.12%	6.06%	—	3.03%	—	36.36%
2	6.06%	12.12%	12.12%	—	3.03%	—	33.33%
3	3.03%	12.12%	—	—	—	—	15.15%
4	—	3.03%	—	—	—	—	3.03%
5+	—	—	3.03%	—	—	—	3.03%
Total	27.27%	42.42%	21.21%	3.03%	6.06%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.76	1.18	+0.58
SD	1.12	1.07	1.52
CV	0.64	0.91	—
Max	5	4	+3
Min	0	0	-3

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	2.03	1.18	+0.85
SD	1.69	1.04	1.95
CV	0.83	0.88	—
Max	6	4	+5
Min	0	0	-3

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.39	1.09	+0.30
SD	0.90	1.07	1.38
CV	0.65	0.98	—
Max	3	4	+2
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	6.06%	3.03%	3.03%	—	3.03%	24.24%
1	3.03%	15.15%	18.18%	3.03%	—	3.03%	42.42%
2	6.06%	9.09%	—	3.03%	3.03%	—	21.21%
3	—	3.03%	6.06%	—	—	—	9.09%
4	3.03%	—	—	—	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	21.21%	33.33%	27.27%	9.09%	3.03%	6.06%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.24	1.61	-0.36
SD	1.03	1.43	1.85
CV	0.83	0.89	—
Max	4	6	+4
Min	0	0	-5

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	15.15%	12.12%	—	—	—	33.33%
1	—	15.15%	15.15%	12.12%	3.03%	3.03%	48.48%
2	3.03%	3.03%	—	—	—	—	6.06%
3	3.03%	—	3.03%	—	—	—	6.06%
4	—	—	3.03%	—	—	3.03%	6.06%
5+	—	—	—	—	—	—	—
Total	12.12%	33.33%	33.33%	12.12%	3.03%	6.06%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.03	1.82	-0.79
SD	1.10	1.36	1.47
CV	1.07	0.75	—
Max	4	6	+3
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	9.09%	9.09%	6.06%	9.09%	—	39.39%
1	3.03%	6.06%	15.15%	3.03%	—	—	27.27%
2	3.03%	3.03%	6.06%	3.03%	3.03%	3.03%	21.21%
3	6.06%	—	3.03%	3.03%	—	—	12.12%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	18.18%	18.18%	33.33%	15.15%	12.12%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.06	1.94	-0.88
SD	1.06	1.37	1.80
CV	1.00	0.71	—
Max	3	5	+3
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	9.09%	15.15%	6.06%	3.03%	—	33.33%
1	6.06%	9.09%	3.03%	15.15%	3.03%	—	36.36%
2	3.03%	9.09%	6.06%	6.06%	—	—	24.24%
3	—	—	6.06%	—	—	—	6.06%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	9.09%	27.27%	30.30%	27.27%	6.06%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.03	1.94	-0.91
SD	0.92	1.09	1.51
CV	0.89	0.56	—
Max	3	4	+2
Min	0	0	-4

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	1830	76	64.47	+11.53	98.0%	45	52	60	65	69	74	81
Nordsjaelland	1742	57	50.80	+6.20	80.0%	31	37	46	51	56	61	70
Aalborg	1722	61	50.83	+10.17	89.0%	38	40	46	50	55	64	70
Midtjylland	1716	63	54.55	+8.45	92.0%	35	43	50	55	58	65	73
Odense	1687	58	55.29	+2.71	62.0%	35	41	50	56	60	66	78
Brondby	1667	49	53.92	-4.92	24.0%	33	42	50	54	59	65	70
Esbjerg	1598	40	45.02	-5.02	26.0%	19	32	40	45	50	57	60
Randers	1546	38	37.33	+0.67	64.0%	21	24	32	36	42	50	63
Vejle BK	1516	25	28.46	-3.46	34.0%	15	18	23	28	34	39	44
Silkeborg	1513	22	32.53	-10.53	6.0%	17	22	28	32	37	45	49
Viborg	1493	29	37.71	-8.71	16.0%	19	25	32	38	43	49	52
Horsens	1491	28	35.04	-7.04	17.0%	22	25	31	35	39	46	57

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

+10.10%

Slight Edge

42.93%24.24%32.83%

Elo Value

Home Edge: 35.21 Elo pts.

205 Elo

0.005 goals per Elo point

0600

Scoring Tilt

Expected

+0.20 goals

Neutral

-2+0.17+2

Title Race

How these are measured

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

Title-Race Openness: Effective number of teams with a live shot at finishing 1st, from the simulation. 1 means the favorite is a near-lock; larger means a wide-open race. Equal to 1 divided by the sum of squared title odds.
One-Team Race: under 3 * Top-Heavy: 3 to 4 * Open: 4 to 6 * Wide Open: 6 and up.
Champion Preseason Odds: Preseason probability that the eventual champion would finish 1st, from the simulation. The dot marks their rank across all teams, from longshot to favorite.
Preseason Favorite: 1st * Among the Favorites: 2nd * Middle of the Pack: 3rd to 6th * Longshot: 7th or lower.
Title Margin: Points-per-game gap between the champion and the runner-up. Shown per game so it reads the same across long and short seasons. The gold line is the winning margin the model expected, so a dot to the right means a more one-sided race than projected. A title won on goal difference shows 0.00.
Photo Finish: under 0.06 * Tight Race: 0.06 to 0.15 * Comfortable: 0.15 to 0.27 * Runaway: 0.27 and up.

Title-Race Openness

2.1

One-Team Race

134610

Champion Preseason Odds

67%

FC Copenhagen, 1st of 12

LongshotFavorite

Title Margin

Expected

0.39/gm

Runaway

00.190.6/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 5.7 * Some Luck: 5.7 to 8.54 * Lucky: 8.54 to 11.39 * Wild Swing: 11.39 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 1.21 * Close: 1.21 to 1.81 * Off: 1.81 to 2.42 * Way Off: 2.42 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 0.86 * A Surprise: 0.86 to 1.38 * Several Surprises: 1.38 to 1.89 * Many Surprises: 1.89 and up.

Luck Spread

Expected

7.37 points

Some Luck

07.1218

Average Finish Error

Expected

1.00

Pinpoint

01.514

Biggest Overachiever

Expected 95.83%

98.00%

FC Copenhagen

50100

Biggest Underachiever

Expected 4.17%

6.00%

Silkeborg

050

Season Outliers

Expected

1 of 12

Minimal Outliers

01.26

Unexpected Relegations

Expected

0 of 2

As Expected

00.92

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

0.21

Lopsided

00.120.5

Noll-Scully

Elo SD: 115.08

2.32

Wide Separation

0.651.351.61.92.5

Interquartile Edge

76%

Wide Edge

50%59%69%100%

Best vs. Worst

Baseline

88%

Strong Edge

50%91%100%

Close Games

Expected

61%

Frequent

0%61%100%

Blowouts

Expected

14%

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

0.58

Predictable

00.602

Matchup Imbalance

0.36

Notable Separation

00.280.370.5

Strangeness

Expected

1.14

Wilder Than Modeled

01.002

Repeatability

0.64

Near-Lock

00.30.50.631

Upset Rate

Expected

21%

Chalky

0%24%50%

Clear Favorite Upset Rate

Expected

18%

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 0.23 * Well Above Noise: 0.23 and up.

Probability calibration

0.90

Excellent

0.010.050.10.51

Calibration slope

Ideal

1.12

Calibrated

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.071

Well Within Noise

00.1170.3

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	67.00%	17.00%	8.00%	4.00%	3.00%	1.00%	—	—	—	—	—	—
Midtjylland	8.00%	17.00%	19.00%	22.00%	15.00%	11.00%	5.00%	1.00%	—	2.00%	—	—
Aalborg	2.00%	13.00%	8.00%	13.00%	21.00%	22.00%	14.00%	6.00%	1.00%	—	—	—
Odense	12.00%	18.00%	22.00%	14.00%	15.00%	9.00%	3.00%	5.00%	1.00%	1.00%	—	—
Nordsjaelland	6.00%	14.00%	17.00%	12.00%	17.00%	10.00%	14.00%	2.00%	5.00%	2.00%	1.00%	—
Brondby	5.00%	20.00%	20.00%	19.00%	11.00%	8.00%	10.00%	4.00%	3.00%	—	—	—
Esbjerg	—	—	4.00%	10.00%	9.00%	22.00%	28.00%	15.00%	4.00%	5.00%	1.00%	2.00%
Randers	—	1.00%	1.00%	3.00%	3.00%	4.00%	11.00%	15.00%	23.00%	15.00%	15.00%	9.00%
Viborg	—	—	—	3.00%	3.00%	6.00%	10.00%	23.00%	18.00%	10.00%	19.00%	8.00%
Horsens	—	—	1.00%	—	1.00%	4.00%	1.00%	15.00%	19.00%	28.00%	21.00%	10.00%
Vejle BK	—	—	—	—	—	1.00%	2.00%	5.00%	10.00%	21.00%	12.00%	49.00%
Silkeborg	—	—	—	—	2.00%	2.00%	2.00%	9.00%	16.00%	16.00%	31.00%	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
Aalborg	100%	—
Brondby	100%	—
FC Copenhagen	100%	—
Midtjylland	100%	—
Odense	100%	—
Nordsjaelland	99.00%	1.00%
Esbjerg	97.00%	3.00%
Randers	76.00%	24.00%
Viborg	73.00%	27.00%
Horsens	69.00%	31.00%
Silkeborg	47.00%	53.00%
Vejle BK	39.00%	61.00%

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
2006-07-19	FC Copenhagen	L 0-1	56.3	1596	1700	28.06%	25.33%	46.61%	-0.34	-8.1	0
2006-07-19	@ Horsens	W 1-0	56.3	1700	1596	46.61%	25.33%	28.06%	+0.34	+8.1	3
2006-07-19	Midtjylland	D 1-1	71.1	1669	1625	48.05%	25.20%	26.75%	+0.39	-1.2	1
2006-07-19	@ Odense	D 1-1	71.1	1625	1669	26.75%	25.20%	48.05%	-0.39	+1.2	1
2006-07-19	Randers	W 5-0	46.7	1599	1538	50.21%	24.96%	24.83%	+0.47	+32.3	3
2006-07-19	@ Nordsjaelland	L 0-5	46.7	1538	1599	24.83%	24.96%	50.21%	-0.47	-32.3	0
2006-07-19	Silkeborg	W 2-1	60.7	1634	1596	47.25%	25.27%	27.47%	+0.36	+7.5	3
2006-07-19	@ Esbjerg	L 1-2	60.7	1596	1634	27.47%	25.27%	47.25%	-0.36	-7.5	0
2006-07-19	Vejle BK	W 2-1	59.1	1679	1581	54.55%	24.32%	21.12%	+0.65	+6.0	3
2006-07-19	@ Brondby	L 1-2	59.1	1581	1679	21.12%	24.32%	54.55%	-0.65	-6.0	0
2006-07-19	Viborg	W 3-1	60.1	1650	1656	41.29%	25.64%	33.07%	+0.14	+15.0	3
2006-07-19	@ Aalborg	L 1-3	60.1	1656	1650	33.07%	25.64%	41.29%	-0.14	-15.0	0
2006-07-22	FC Copenhagen	L 1-4	54.9	1588	1708	26.24%	25.14%	48.62%	-0.41	-17.7	0
2006-07-22	@ Silkeborg	W 4-1	54.9	1708	1588	48.62%	25.14%	26.24%	+0.41	+17.7	6
2006-07-23	Aalborg	L 1-2	65.5	1642	1665	38.86%	25.69%	35.44%	+0.06	-9.8	3
2006-07-23	@ Esbjerg	W 2-1	65.5	1665	1642	35.44%	25.69%	38.86%	-0.06	+9.8	6
2006-07-23	Horsens	W 1-0	56.4	1505	1588	30.72%	25.53%	43.75%	-0.23	+11.4	3
2006-07-23	@ Randers	L 0-1	56.4	1588	1505	43.75%	25.53%	30.72%	+0.23	-11.4	0
2006-07-23	Midtjylland	L 0-1	60.8	1641	1626	44.14%	25.50%	30.35%	+0.24	-11.5	0
2006-07-23	@ Viborg	W 1-0	60.8	1626	1641	30.35%	25.50%	44.14%	-0.24	+11.5	4
2006-07-23	Nordsjaelland	W 2-1	61.5	1685	1632	49.17%	25.08%	25.74%	+0.43	+7.1	6
2006-07-23	@ Brondby	L 1-2	61.5	1632	1685	25.74%	25.08%	49.17%	-0.43	-7.1	3
2006-07-29	Esbjerg	L 0-2	58.1	1668	1632	46.98%	25.30%	27.72%	+0.35	-22.8	1
2006-07-29	@ Odense	W 2-0	58.1	1632	1668	27.72%	25.30%	46.98%	-0.35	+22.8	6
2006-07-30	Brondby	D 1-1	71.4	1637	1692	34.37%	25.67%	39.96%	-0.10	+0.3	5
2006-07-30	@ Midtjylland	D 1-1	71.4	1692	1637	39.96%	25.67%	34.37%	+0.10	-0.3	7
2006-07-30	Silkeborg	W 1-0	53.7	1625	1570	49.24%	25.08%	25.68%	+0.44	+7.5	6
2006-07-30	@ Nordsjaelland	L 0-1	53.7	1570	1625	25.68%	25.08%	49.24%	-0.44	-7.5	0
2006-07-30	Vejle BK	W 4-0	47.0	1675	1575	54.72%	24.29%	20.99%	+0.66	+22.6	9
2006-07-30	@ Aalborg	L 0-4	47.0	1575	1675	20.99%	24.29%	54.72%	-0.66	-22.6	0
2006-07-30	Viborg	D 2-2	75.4	1576	1629	34.64%	25.68%	39.68%	-0.09	+0.2	1
2006-07-30	@ Horsens	D 2-2	75.4	1629	1576	39.68%	25.68%	34.64%	+0.09	-0.2	1
2006-08-02	Odense	L 1-3	57.0	1552	1645	29.35%	25.44%	45.22%	-0.28	-13.7	0
2006-08-02	@ Vejle BK	W 3-1	57.0	1645	1552	45.22%	25.44%	29.35%	+0.28	+13.7	4
2006-08-05	FC Copenhagen	L 1-3	59.3	1629	1725	28.97%	25.41%	45.63%	-0.30	-13.6	1
2006-08-05	@ Viborg	W 3-1	59.3	1725	1629	45.63%	25.41%	28.97%	+0.30	+13.6	9
2006-08-05	Horsens	W 3-0	46.9	1692	1576	56.45%	23.96%	19.59%	+0.74	+16.3	10
2006-08-05	@ Brondby	L 0-3	46.9	1576	1692	19.59%	23.96%	56.45%	-0.74	-16.3	1
2006-08-06	Aalborg	L 0-2	50.7	1563	1697	24.61%	24.93%	50.46%	-0.48	-13.7	0
2006-08-06	@ Silkeborg	W 2-0	50.7	1697	1563	50.46%	24.93%	24.61%	+0.48	+13.7	12
2006-08-06	Midtjylland	L 2-5	56.2	1538	1638	28.61%	25.38%	46.02%	-0.31	-16.4	0
2006-08-06	@ Vejle BK	W 5-2	56.2	1638	1538	46.02%	25.38%	28.61%	+0.31	+16.4	8
2006-08-06	Nordsjaelland	L 3-5	69.1	1655	1632	45.17%	25.44%	29.39%	+0.28	-16.2	6
2006-08-06	@ Esbjerg	W 5-3	69.1	1632	1655	29.39%	25.44%	45.17%	-0.28	+16.2	9
2006-08-06	Randers	D 1-1	69.4	1659	1517	59.28%	23.33%	17.38%	+0.87	-2.4	5
2006-08-06	@ Odense	D 1-1	69.4	1517	1659	17.38%	23.33%	59.28%	-0.87	+2.4	4
2006-08-12	Aalborg	W 1-0	60.8	1654	1711	34.10%	25.67%	40.23%	-0.11	+10.7	11
2006-08-12	@ Midtjylland	L 0-1	60.8	1711	1654	40.23%	25.67%	34.10%	+0.11	-10.7	12
2006-08-13	Brondby	D 1-1	70.4	1519	1708	19.31%	23.89%	56.79%	-0.75	+2.2	5
2006-08-13	@ Randers	D 1-1	70.4	1708	1519	56.79%	23.89%	19.31%	+0.75	-2.2	11
2006-08-13	Esbjerg	D 1-1	69.3	1560	1638	31.25%	25.56%	43.20%	-0.21	+0.6	2
2006-08-13	@ Horsens	D 1-1	69.3	1638	1560	43.20%	25.56%	31.25%	+0.21	-0.7	7
2006-08-13	Odense	D 1-1	72.3	1739	1657	52.69%	24.63%	22.69%	+0.57	-1.7	10
2006-08-13	@ FC Copenhagen	D 1-1	72.3	1657	1739	22.69%	24.63%	52.69%	-0.57	+1.7	6
2006-08-13	Silkeborg	L 2-3	71.4	1615	1549	50.74%	24.90%	24.36%	+0.49	-11.5	1
2006-08-13	@ Viborg	W 3-2	71.4	1549	1615	24.36%	24.90%	50.74%	-0.49	+11.5	3
2006-08-13	Vejle BK	W 1-0	50.6	1648	1522	57.62%	23.72%	18.66%	+0.79	+5.7	12
2006-08-13	@ Nordsjaelland	L 0-1	50.6	1522	1648	18.66%	23.72%	57.62%	-0.79	-5.7	0
2006-08-19	FC Copenhagen	L 0-4	45.5	1516	1737	16.74%	23.12%	60.14%	-0.91	-18.4	0
2006-08-19	@ Vejle BK	W 4-0	45.5	1737	1516	60.14%	23.12%	16.74%	+0.91	+18.4	13
2006-08-20	Horsens	L 0-2	52.9	1561	1561	42.12%	25.61%	32.27%	+0.17	-20.9	3
2006-08-20	@ Silkeborg	W 2-0	52.9	1561	1561	32.27%	25.61%	42.12%	-0.17	+20.9	5
2006-08-20	Midtjylland	W 4-2	64.9	1638	1665	38.33%	25.70%	35.97%	+0.04	+14.3	10
2006-08-20	@ Esbjerg	L 2-4	64.9	1665	1638	35.97%	25.70%	38.33%	-0.04	-14.3	11
2006-08-20	Nordsjaelland	W 2-1	63.3	1658	1654	42.71%	25.58%	31.71%	+0.19	+8.4	9
2006-08-20	@ Odense	L 1-2	63.3	1654	1658	31.71%	25.58%	42.71%	-0.19	-8.4	12
2006-08-20	Randers	W 2-1	55.9	1700	1521	62.90%	22.35%	14.75%	+1.04	+4.3	15
2006-08-20	@ Aalborg	L 1-2	55.9	1521	1700	14.75%	22.35%	62.90%	-1.04	-4.3	5
2006-08-20	Viborg	W 3-0	47.9	1706	1604	54.97%	24.25%	20.79%	+0.67	+17.2	14
2006-08-20	@ Brondby	L 0-3	47.9	1604	1706	20.79%	24.25%	54.97%	-0.67	-17.2	1
2006-08-27	Aalborg	L 0-2	59.9	1756	1705	48.87%	25.12%	26.01%	+0.42	-23.6	13
2006-08-27	@ FC Copenhagen	W 2-0	59.9	1705	1756	26.01%	25.12%	48.87%	-0.42	+23.6	18
2006-08-27	Esbjerg	W 3-1	62.5	1517	1652	24.52%	24.92%	50.56%	-0.49	+21.0	8
2006-08-27	@ Randers	L 1-3	62.5	1652	1517	50.56%	24.92%	24.52%	+0.49	-21.0	10
2006-08-27	Odense	L 0-2	52.4	1582	1667	30.39%	25.51%	44.10%	-0.24	-16.3	5
2006-08-27	@ Horsens	W 2-0	52.4	1667	1582	44.10%	25.51%	30.39%	+0.24	+16.3	12
2006-08-27	Vejle BK	W 1-0	49.3	1587	1498	53.45%	24.51%	22.04%	+0.61	+6.6	4
2006-08-27	@ Viborg	L 0-1	49.3	1498	1587	22.04%	24.51%	53.45%	-0.61	-6.6	0
2006-09-09	Brondby	D 1-1	72.3	1728	1723	42.78%	25.58%	31.64%	+0.20	-0.6	19
2006-09-09	@ Aalborg	D 1-1	72.3	1723	1728	31.64%	25.58%	42.78%	-0.20	+0.6	15
2006-09-09	FC Copenhagen	D 2-2	77.7	1631	1732	28.41%	25.36%	46.23%	-0.32	+0.7	11
2006-09-09	@ Esbjerg	D 2-2	77.7	1732	1631	46.23%	25.36%	28.41%	+0.32	-0.7	14
2006-09-10	Horsens	D 0-0	65.3	1646	1565	52.41%	24.67%	22.92%	+0.56	-1.9	13
2006-09-10	@ Nordsjaelland	D 0-0	65.3	1565	1646	22.92%	24.67%	52.41%	-0.56	+1.9	6
2006-09-10	Midtjylland	L 0-2	50.2	1540	1650	27.28%	25.26%	47.46%	-0.37	-14.9	3
2006-09-10	@ Silkeborg	W 2-0	50.2	1650	1540	47.46%	25.26%	27.28%	+0.37	+14.9	14
2006-09-10	Vejle BK	W 2-1	54.5	1538	1491	48.33%	25.17%	26.49%	+0.40	+7.3	11
2006-09-10	@ Randers	L 1-2	54.5	1491	1538	26.49%	25.17%	48.33%	-0.40	-7.3	0
2006-09-10	Viborg	W 2-0	50.1	1683	1593	53.52%	24.50%	21.98%	+0.61	+12.4	15
2006-09-10	@ Odense	L 0-2	50.1	1593	1683	21.98%	24.50%	53.52%	-0.61	-12.4	4
2006-09-16	Silkeborg	L 2-4	57.2	1484	1525	36.30%	25.70%	38.00%	-0.03	-14.4	0
2006-09-16	@ Vejle BK	W 4-2	57.2	1525	1484	38.00%	25.70%	36.30%	+0.03	+14.4	6
2006-09-17	Esbjerg	W 2-0	50.9	1724	1632	53.81%	24.45%	21.74%	+0.62	+12.3	18
2006-09-17	@ Brondby	L 0-2	50.9	1632	1724	21.74%	24.45%	53.81%	-0.62	-12.3	11
2006-09-17	Horsens	L 1-2	68.6	1665	1567	54.50%	24.33%	21.17%	+0.65	-12.9	14
2006-09-17	@ Midtjylland	W 2-1	68.6	1567	1665	21.17%	24.33%	54.50%	-0.65	+13.0	9
2006-09-17	Nordsjaelland	W 1-0	55.2	1731	1644	53.31%	24.53%	22.16%	+0.60	+6.6	17
2006-09-17	@ FC Copenhagen	L 0-1	55.2	1644	1731	22.16%	24.53%	53.31%	-0.60	-6.6	13
2006-09-17	Odense	L 0-1	63.0	1728	1695	46.44%	25.34%	28.21%	+0.33	-12.0	19
2006-09-17	@ Aalborg	W 1-0	63.0	1695	1728	28.21%	25.34%	46.44%	-0.33	+12.0	18
2006-09-17	Randers	W 3-2	63.5	1581	1545	46.89%	25.31%	27.81%	+0.35	+7.2	7
2006-09-17	@ Viborg	L 2-3	63.5	1545	1581	27.81%	25.31%	46.89%	-0.35	-7.2	11
2006-09-23	Aalborg	D 0-0	66.7	1580	1716	24.50%	24.92%	50.59%	-0.49	+1.6	10
2006-09-23	@ Horsens	D 0-0	66.7	1716	1580	50.59%	24.92%	24.50%	+0.49	-1.6	20
2006-09-23	Midtjylland	W 2-1	61.0	1738	1652	53.06%	24.57%	22.37%	+0.59	+6.3	20
2006-09-23	@ FC Copenhagen	L 1-2	61.0	1652	1738	22.37%	24.57%	53.06%	-0.59	-6.3	14
2006-09-24	Brondby	D 2-2	78.2	1707	1736	38.06%	25.70%	36.24%	+0.03	-0.1	19
2006-09-24	@ Odense	D 2-2	78.2	1736	1707	36.24%	25.70%	38.06%	-0.03	+0.1	19
2006-09-24	Silkeborg	D 0-0	61.3	1538	1539	41.93%	25.61%	32.45%	+0.17	-0.6	12
2006-09-24	@ Randers	D 0-0	61.3	1539	1538	32.45%	25.61%	41.93%	-0.17	+0.6	7
2006-09-24	Vejle BK	D 3-3	76.9	1620	1469	60.07%	23.14%	16.79%	+0.90	-1.6	12
2006-09-24	@ Esbjerg	D 3-3	76.9	1469	1620	16.79%	23.14%	60.07%	-0.90	+1.6	1
2006-09-24	Viborg	W 2-0	50.6	1637	1588	48.59%	25.15%	26.26%	+0.41	+14.5	16
2006-09-24	@ Nordsjaelland	L 0-2	50.6	1588	1637	26.26%	25.15%	48.59%	-0.41	-14.5	7
2006-09-30	Nordsjaelland	L 0-3	57.6	1714	1651	50.28%	24.95%	24.76%	+0.48	-35.1	20
2006-09-30	@ Aalborg	W 3-0	57.6	1651	1714	24.76%	24.95%	50.28%	-0.48	+35.1	19
2006-10-01	Brondby	W 1-0	58.8	1744	1736	43.22%	25.56%	31.23%	+0.21	+8.8	23
2006-10-01	@ FC Copenhagen	L 0-1	58.8	1736	1744	31.23%	25.56%	43.22%	-0.21	-8.8	19
2006-10-01	Esbjerg	L 0-4	50.7	1574	1618	35.85%	25.70%	38.45%	-0.04	-35.0	7
2006-10-01	@ Viborg	W 4-0	50.7	1618	1574	38.45%	25.70%	35.85%	+0.04	+35.0	15
2006-10-01	Horsens	D 2-2	71.0	1471	1582	27.24%	25.25%	47.51%	-0.37	+0.8	2
2006-10-01	@ Vejle BK	D 2-2	71.0	1582	1471	47.51%	25.25%	27.24%	+0.37	-0.8	11
2006-10-01	Odense	L 0-1	53.3	1540	1707	21.29%	24.36%	54.35%	-0.64	-6.4	7
2006-10-01	@ Silkeborg	W 1-0	53.3	1707	1540	54.35%	24.36%	21.29%	+0.64	+6.4	22
2006-10-01	Randers	W 2-1	57.2	1646	1538	55.67%	24.12%	20.21%	+0.70	+5.8	17
2006-10-01	@ Midtjylland	L 1-2	57.2	1538	1646	20.21%	24.12%	55.67%	-0.70	-5.8	12
2006-10-04	Nordsjaelland	D 2-2	77.4	1652	1687	37.22%	25.71%	37.08%	+0.00	-0.0	18
2006-10-04	@ Midtjylland	D 2-2	77.4	1687	1652	37.08%	25.71%	37.22%	+0.00	+0.0	20
2006-10-14	FC Copenhagen	L 0-2	48.2	1532	1753	16.73%	23.11%	60.16%	-0.91	-9.7	12
2006-10-14	@ Randers	W 2-0	48.2	1753	1532	60.16%	23.11%	16.73%	+0.91	+9.7	26
2006-10-15	Aalborg	L 0-2	56.1	1653	1679	38.49%	25.70%	35.81%	+0.05	-19.5	15
2006-10-15	@ Esbjerg	W 2-0	56.1	1679	1653	35.81%	25.70%	38.49%	-0.05	+19.5	23
2006-10-15	Horsens	W 2-0	48.9	1714	1581	58.28%	23.57%	18.15%	+0.82	+10.4	25
2006-10-15	@ Odense	L 0-2	48.9	1581	1714	18.15%	23.57%	58.28%	-0.82	-10.5	11
2006-10-15	Midtjylland	L 1-3	66.2	1727	1652	51.88%	24.74%	23.38%	+0.54	-21.5	19
2006-10-15	@ Brondby	W 3-1	66.2	1652	1727	23.38%	24.74%	51.88%	-0.54	+21.5	21
2006-10-15	Silkeborg	W 5-1	48.8	1687	1534	60.36%	23.06%	16.58%	+0.92	+15.2	23
2006-10-15	@ Nordsjaelland	L 1-5	48.8	1534	1687	16.58%	23.06%	60.36%	-0.92	-15.2	7
2006-10-15	Vejle BK	W 2-1	53.1	1539	1472	50.81%	24.89%	24.30%	+0.50	+6.8	10
2006-10-15	@ Viborg	L 1-2	53.1	1472	1539	24.30%	24.89%	50.81%	-0.50	-6.8	2
2006-10-18	Silkeborg	D 1-1	70.9	1706	1518	63.69%	22.10%	14.20%	+1.09	-2.9	20
2006-10-18	@ Brondby	D 1-1	70.9	1518	1706	14.20%	22.10%	63.69%	-1.09	+2.9	8
2006-10-21	Brondby	D 0-0	66.3	1571	1703	24.81%	24.96%	50.23%	-0.47	+1.6	12
2006-10-21	@ Horsens	D 0-0	66.3	1703	1571	50.23%	24.96%	24.81%	+0.47	-1.6	21
2006-10-22	Esbjerg	L 1-2	58.8	1521	1634	27.09%	25.24%	47.68%	-0.38	-7.4	8
2006-10-22	@ Silkeborg	W 2-1	58.8	1634	1521	47.68%	25.24%	27.09%	+0.38	+7.4	18
2006-10-22	Nordsjaelland	W 3-2	74.1	1465	1702	15.62%	22.71%	61.67%	-0.98	+13.7	5
2006-10-22	@ Vejle BK	L 2-3	74.1	1702	1465	61.67%	22.71%	15.62%	+0.98	-13.7	23
2006-10-22	Odense	W 3-0	54.8	1673	1724	34.94%	25.69%	39.37%	-0.08	+28.8	24
2006-10-22	@ Midtjylland	L 0-3	54.8	1724	1673	39.37%	25.69%	34.94%	+0.08	-28.8	25
2006-10-22	Randers	L 0-4	58.4	1698	1522	62.63%	22.43%	14.94%	+1.03	-55.5	23
2006-10-22	@ Aalborg	W 4-0	58.4	1522	1698	14.94%	22.43%	62.63%	-1.03	+55.5	15
2006-10-22	Viborg	W 3-0	44.5	1763	1545	66.38%	21.20%	12.43%	+1.23	+10.4	29
2006-10-22	@ FC Copenhagen	L 0-3	44.5	1545	1763	12.43%	21.20%	66.38%	-1.23	-10.4	10
2006-10-25	Aalborg	L 1-2	69.0	1701	1643	49.81%	25.01%	25.18%	+0.46	-12.0	21
2006-10-25	@ Brondby	W 2-1	69.0	1643	1701	25.18%	25.01%	49.81%	-0.46	+12.0	26
2006-10-25	Esbjerg	D 1-1	69.6	1572	1641	32.49%	25.61%	41.89%	-0.16	+0.5	13
2006-10-25	@ Horsens	D 1-1	69.6	1641	1572	41.89%	25.61%	32.49%	+0.16	-0.5	19
2006-10-25	FC Copenhagen	D 0-0	67.9	1695	1773	31.30%	25.56%	43.14%	-0.21	+0.7	26
2006-10-25	@ Odense	D 0-0	67.9	1773	1695	43.14%	25.56%	31.30%	+0.21	-0.7	30
2006-10-25	Midtjylland	L 1-4	60.2	1688	1702	40.16%	25.67%	34.17%	+0.10	-24.6	23
2006-10-25	@ Nordsjaelland	W 4-1	60.2	1702	1688	34.17%	25.67%	40.16%	-0.10	+24.6	27
2006-10-25	Vejle BK	L 0-1	58.0	1578	1479	54.59%	24.31%	21.10%	+0.65	-13.8	15
2006-10-25	@ Randers	W 1-0	58.0	1479	1578	21.10%	24.31%	54.59%	-0.65	+13.8	8
2006-10-25	Viborg	L 1-2	59.2	1514	1535	39.18%	25.69%	35.13%	+0.07	-9.9	8
2006-10-25	@ Silkeborg	W 2-1	59.2	1535	1514	35.13%	25.69%	39.18%	-0.07	+9.9	13
2006-10-28	Nordsjaelland	W 1-0	58.8	1640	1663	38.90%	25.69%	35.41%	+0.06	+9.7	22
2006-10-28	@ Esbjerg	L 0-1	58.8	1663	1640	35.41%	25.69%	38.90%	-0.06	-9.7	23
2006-10-29	Brondby	W 1-0	58.3	1696	1689	43.02%	25.57%	31.42%	+0.20	+8.9	29
2006-10-29	@ Odense	L 0-1	58.3	1689	1696	31.42%	25.57%	43.02%	-0.20	-8.8	21
2006-10-29	Horsens	W 1-0	52.2	1727	1573	60.48%	23.03%	16.49%	+0.92	+5.1	30
2006-10-29	@ Midtjylland	L 0-1	52.2	1573	1727	16.49%	23.03%	60.48%	-0.92	-5.1	13
2006-10-29	Randers	D 1-1	66.8	1545	1564	39.45%	25.68%	34.86%	+0.08	-0.2	14
2006-10-29	@ Viborg	D 1-1	66.8	1564	1545	34.86%	25.68%	39.45%	-0.08	+0.2	16
2006-10-29	Silkeborg	W 1-0	49.6	1655	1504	60.13%	23.12%	16.75%	+0.91	+5.1	29
2006-10-29	@ Aalborg	L 0-1	49.6	1504	1655	16.75%	23.12%	60.13%	-0.91	-5.1	8
2006-10-29	Vejle BK	W 3-0	42.3	1773	1493	71.47%	19.13%	9.40%	+1.54	+7.7	33
2006-10-29	@ FC Copenhagen	L 0-3	42.3	1493	1773	9.40%	19.13%	71.47%	-1.54	-7.7	8
2006-11-04	Aalborg	D 1-1	71.2	1654	1660	41.25%	25.64%	33.11%	+0.14	-0.4	24
2006-11-04	@ Nordsjaelland	D 1-1	71.2	1660	1654	33.11%	25.64%	41.25%	-0.14	+0.4	30
2006-11-05	Brondby	W 3-1	57.3	1780	1681	54.67%	24.30%	21.03%	+0.66	+10.3	36
2006-11-05	@ FC Copenhagen	L 1-3	57.3	1681	1780	21.03%	24.30%	54.67%	-0.66	-10.4	21
2006-11-05	Esbjerg	W 3-2	70.8	1564	1650	30.26%	25.50%	44.24%	-0.25	+10.3	19
2006-11-05	@ Randers	L 2-3	70.8	1650	1564	44.24%	25.50%	30.26%	+0.25	-10.3	22
2006-11-05	Horsens	W 1-0	54.6	1545	1568	38.89%	25.69%	35.41%	+0.06	+9.7	17
2006-11-05	@ Viborg	L 0-1	54.6	1568	1545	35.41%	25.69%	38.89%	-0.06	-9.7	13
2006-11-05	Midtjylland	L 0-1	50.9	1499	1732	15.89%	22.81%	61.30%	-0.96	-4.9	8
2006-11-05	@ Silkeborg	W 1-0	50.9	1732	1499	61.30%	22.81%	15.89%	+0.96	+4.9	33
2006-11-05	Odense	L 1-2	56.0	1485	1705	16.82%	23.15%	60.03%	-0.90	-4.9	8
2006-11-05	@ Vejle BK	W 2-1	56.0	1705	1485	60.03%	23.15%	16.82%	+0.90	+4.9	32
2006-11-11	Silkeborg	W 3-1	51.0	1670	1494	62.63%	22.43%	14.94%	+1.03	+7.5	24
2006-11-11	@ Brondby	L 1-3	51.0	1494	1670	14.94%	22.43%	62.63%	-1.03	-7.5	8
2006-11-12	FC Copenhagen	L 0-1	56.6	1660	1791	25.05%	24.99%	49.96%	-0.46	-7.4	30
2006-11-12	@ Aalborg	W 1-0	56.6	1791	1660	49.96%	24.99%	25.05%	+0.46	+7.4	39
2006-11-12	Nordsjaelland	L 0-1	63.4	1710	1653	49.55%	25.04%	25.41%	+0.45	-12.7	32
2006-11-12	@ Odense	W 1-0	63.4	1653	1710	25.41%	25.04%	49.55%	-0.45	+12.6	27
2006-11-12	Randers	W 2-1	60.6	1558	1574	39.81%	25.68%	34.51%	+0.09	+9.0	16
2006-11-12	@ Horsens	L 1-2	60.6	1574	1558	34.51%	25.68%	39.81%	-0.09	-9.0	19
2006-11-12	Vejle BK	W 1-0	48.2	1640	1480	61.05%	22.88%	16.07%	+0.95	+4.9	25
2006-11-12	@ Esbjerg	L 0-1	48.2	1480	1640	16.07%	22.88%	61.05%	-0.95	-4.9	8
2006-11-12	Viborg	W 3-1	53.3	1737	1554	63.22%	22.25%	14.53%	+1.06	+7.3	36
2006-11-12	@ Midtjylland	L 1-3	53.3	1554	1737	14.53%	22.25%	63.22%	-1.06	-7.3	17
2006-11-18	Midtjylland	D 2-2	78.7	1798	1744	49.23%	25.08%	25.69%	+0.44	-1.0	40
2006-11-18	@ FC Copenhagen	D 2-2	78.7	1744	1798	25.69%	25.08%	49.23%	-0.44	+1.0	37
2006-11-19	Aalborg	D 1-1	67.9	1475	1653	20.30%	24.14%	55.57%	-0.70	+2.0	9
2006-11-19	@ Vejle BK	D 1-1	67.9	1653	1475	55.57%	24.14%	20.30%	+0.70	-2.0	31
2006-11-19	Brondby	W 2-0	57.4	1565	1678	27.07%	25.23%	47.70%	-0.38	+23.1	22
2006-11-19	@ Randers	L 0-2	57.4	1678	1565	47.70%	25.23%	27.07%	+0.38	-23.1	24
2006-11-19	Esbjerg	D 1-1	69.2	1547	1645	28.80%	25.39%	45.81%	-0.31	+0.9	18
2006-11-19	@ Viborg	D 1-1	69.2	1645	1547	45.81%	25.39%	28.80%	+0.31	-0.9	26
2006-11-19	Horsens	W 4-0	46.7	1666	1567	54.61%	24.31%	21.08%	+0.65	+22.7	30
2006-11-19	@ Nordsjaelland	L 0-4	46.7	1567	1666	21.08%	24.31%	54.61%	-0.65	-22.7	16
2006-11-19	Odense	L 1-3	52.5	1487	1697	17.56%	23.39%	59.06%	-0.86	-8.8	8
2006-11-19	@ Silkeborg	W 3-1	52.5	1697	1487	59.06%	23.39%	17.56%	+0.86	+8.8	35
2006-11-26	Randers	W 2-1	57.2	1797	1589	65.59%	21.47%	12.94%	+1.19	+3.7	43
2006-11-26	@ FC Copenhagen	L 1-2	57.2	1589	1797	12.94%	21.47%	65.59%	-1.19	-3.8	22
2007-03-10	Vejle BK	D 2-2	77.5	1745	1477	70.54%	19.54%	9.92%	+1.48	-2.7	38
2007-03-10	@ Midtjylland	D 2-2	77.5	1477	1745	9.92%	19.54%	70.54%	-1.48	+2.7	10
2007-03-11	FC Copenhagen	D 0-0	68.1	1644	1801	22.29%	24.55%	53.16%	-0.59	+2.0	27
2007-03-11	@ Esbjerg	D 0-0	68.1	1801	1644	53.16%	24.55%	22.29%	+0.59	-2.0	44
2007-03-11	Nordsjaelland	W 2-0	55.7	1655	1689	37.33%	25.70%	36.97%	+0.01	+18.9	27
2007-03-11	@ Brondby	L 0-2	55.7	1689	1655	36.97%	25.70%	37.33%	-0.01	-18.9	30
2007-03-11	Randers	L 1-2	70.2	1706	1585	57.05%	23.84%	19.11%	+0.76	-13.5	35
2007-03-11	@ Odense	W 2-1	70.2	1585	1706	19.11%	23.84%	57.05%	-0.76	+13.5	25
2007-03-11	Silkeborg	W 2-1	53.5	1544	1478	50.76%	24.90%	24.35%	+0.50	+6.8	19
2007-03-11	@ Horsens	L 1-2	53.5	1478	1544	24.35%	24.90%	50.76%	-0.50	-6.8	8
2007-03-11	Viborg	L 0-2	58.5	1651	1548	55.06%	24.23%	20.71%	+0.67	-26.1	31
2007-03-11	@ Aalborg	W 2-0	58.5	1548	1651	20.71%	24.23%	55.06%	-0.67	+26.1	21
2007-03-17	Silkeborg	L 0-2	47.2	1480	1471	43.31%	25.55%	31.14%	+0.21	-21.3	10
2007-03-17	@ Vejle BK	W 2-0	47.2	1471	1480	31.14%	25.55%	43.31%	-0.21	+21.3	11
2007-03-18	Brondby	D 1-1	70.3	1574	1674	28.59%	25.38%	46.04%	-0.31	+1.0	22
2007-03-18	@ Viborg	D 1-1	70.3	1674	1574	46.04%	25.38%	28.59%	+0.31	-0.9	28
2007-03-18	Horsens	W 4-0	46.4	1625	1551	51.68%	24.77%	23.55%	+0.53	+25.0	34
2007-03-18	@ Aalborg	L 0-4	46.4	1551	1625	23.55%	24.77%	51.68%	-0.53	-25.0	19
2007-03-18	Midtjylland	D 0-0	67.2	1598	1742	23.59%	24.78%	51.63%	-0.53	+1.8	26
2007-03-18	@ Randers	D 0-0	67.2	1742	1598	51.63%	24.78%	23.59%	+0.53	-1.8	39
2007-03-18	Nordsjaelland	D 1-1	73.0	1799	1670	57.90%	23.66%	18.45%	+0.80	-2.3	45
2007-03-18	@ FC Copenhagen	D 1-1	73.0	1670	1799	18.45%	23.66%	57.90%	-0.80	+2.3	31
2007-03-18	Odense	L 1-2	64.8	1646	1692	35.53%	25.69%	38.78%	-0.06	-9.2	27
2007-03-18	@ Esbjerg	W 2-1	64.8	1692	1646	38.78%	25.69%	35.53%	+0.06	+9.2	38
2007-03-31	FC Copenhagen	L 1-3	53.2	1526	1796	13.42%	21.73%	64.85%	-1.15	-6.7	19
2007-03-31	@ Horsens	W 3-1	53.2	1796	1526	64.85%	21.73%	13.42%	+1.15	+6.7	48
2007-04-01	Aalborg	D 1-1	71.8	1702	1650	48.95%	25.11%	25.95%	+0.42	-1.3	39
2007-04-01	@ Odense	D 1-1	71.8	1650	1702	25.95%	25.11%	48.95%	-0.42	+1.3	35
2007-04-01	Esbjerg	W 3-1	56.6	1740	1637	55.15%	24.21%	20.64%	+0.68	+10.2	42
2007-04-01	@ Midtjylland	L 1-3	56.6	1637	1740	20.64%	24.21%	55.15%	-0.68	-10.2	27
2007-04-01	Randers	D 0-0	61.9	1492	1600	27.61%	25.29%	47.10%	-0.35	+1.2	12
2007-04-01	@ Silkeborg	D 0-0	61.9	1600	1492	47.10%	25.29%	27.61%	+0.35	-1.2	27
2007-04-01	Vejle BK	W 4-0	40.8	1673	1458	66.10%	21.29%	12.61%	+1.22	+13.8	31
2007-04-01	@ Brondby	L 0-4	40.8	1458	1673	12.61%	21.29%	66.10%	-1.22	-13.8	10
2007-04-01	Viborg	W 4-1	52.4	1672	1575	54.38%	24.35%	21.27%	+0.65	+14.8	34
2007-04-01	@ Nordsjaelland	L 1-4	52.4	1575	1672	21.27%	24.35%	54.38%	-0.65	-14.8	22
2007-04-05	Brondby	D 1-1	71.2	1626	1686	33.68%	25.66%	40.67%	-0.12	+0.4	28
2007-04-05	@ Esbjerg	D 1-1	71.2	1686	1626	40.67%	25.66%	33.68%	+0.12	-0.4	32
2007-04-05	Horsens	D 0-0	57.1	1445	1519	31.73%	25.58%	42.69%	-0.19	+0.7	11
2007-04-05	@ Vejle BK	D 0-0	57.1	1519	1445	42.69%	25.58%	31.73%	+0.19	-0.7	20
2007-04-05	Midtjylland	L 0-2	53.6	1651	1751	28.59%	25.38%	46.04%	-0.31	-15.5	35
2007-04-05	@ Aalborg	W 2-0	53.6	1751	1651	46.04%	25.38%	28.59%	+0.31	+15.5	45
2007-04-05	Nordsjaelland	L 1-6	54.2	1599	1687	30.01%	25.48%	44.50%	-0.26	-31.2	27
2007-04-05	@ Randers	W 6-1	54.2	1687	1599	44.50%	25.48%	30.01%	+0.26	+31.2	37
2007-04-05	Odense	L 0-2	50.5	1560	1700	23.99%	24.84%	51.16%	-0.51	-13.4	22
2007-04-05	@ Viborg	W 2-0	50.5	1700	1560	51.16%	24.84%	23.99%	+0.51	+13.4	42
2007-04-05	Silkeborg	W 3-1	50.2	1803	1494	73.66%	18.11%	8.23%	+1.68	+4.0	51
2007-04-05	@ FC Copenhagen	L 1-3	50.2	1494	1803	8.23%	18.11%	73.66%	-1.68	-4.0	12
2007-04-08	Randers	W 3-0	46.6	1686	1568	56.76%	23.90%	19.34%	+0.75	+16.1	35
2007-04-08	@ Brondby	L 0-3	46.6	1568	1686	19.34%	23.90%	56.76%	-0.75	-16.1	27
2007-04-09	Aalborg	L 4-6	59.3	1490	1636	23.38%	24.74%	51.88%	-0.54	-9.3	12
2007-04-09	@ Silkeborg	W 6-4	59.3	1636	1490	51.88%	24.74%	23.38%	+0.54	+9.3	38
2007-04-09	Esbjerg	D 1-1	71.9	1718	1627	53.71%	24.46%	21.83%	+0.62	-1.8	38
2007-04-09	@ Nordsjaelland	D 1-1	71.9	1627	1718	21.83%	24.46%	53.71%	-0.62	+1.8	29
2007-04-09	FC Copenhagen	L 1-4	59.8	1766	1807	36.31%	25.70%	37.99%	-0.03	-22.8	45
2007-04-09	@ Midtjylland	W 4-1	59.8	1807	1766	37.99%	25.70%	36.31%	+0.03	+22.8	54
2007-04-09	Vejle BK	W 3-2	57.4	1714	1445	70.58%	19.52%	9.90%	+1.48	+2.7	45
2007-04-09	@ Odense	L 2-3	57.4	1445	1714	9.90%	19.52%	70.58%	-1.48	-2.7	11
2007-04-09	Viborg	W 3-1	55.2	1518	1547	38.14%	25.70%	36.16%	+0.03	+16.1	23
2007-04-09	@ Horsens	L 1-3	55.2	1547	1518	36.16%	25.70%	38.14%	-0.03	-16.1	22
2007-04-14	Brondby	W 3-2	71.6	1645	1702	34.05%	25.67%	40.28%	-0.11	+9.6	41
2007-04-14	@ Aalborg	L 2-3	71.6	1702	1645	40.28%	25.67%	34.05%	+0.11	-9.6	35
2007-04-15	Horsens	L 0-1	61.3	1629	1535	54.04%	24.41%	21.55%	+0.63	-13.6	29
2007-04-15	@ Esbjerg	W 1-0	61.3	1535	1629	21.55%	24.41%	54.04%	-0.63	+13.6	26
2007-04-15	Nordsjaelland	D 1-1	72.4	1743	1716	45.78%	25.40%	28.83%	+0.30	-0.9	46
2007-04-15	@ Midtjylland	D 1-1	72.4	1716	1743	28.83%	25.40%	45.78%	-0.30	+0.9	39
2007-04-15	Odense	W 4-2	61.1	1830	1716	56.24%	24.01%	19.76%	+0.73	+8.8	57
2007-04-15	@ FC Copenhagen	L 2-4	61.1	1716	1830	19.76%	24.01%	56.24%	-0.73	-8.8	45
2007-04-15	Randers	L 0-2	43.9	1443	1552	27.45%	25.27%	47.27%	-0.36	-15.0	11
2007-04-15	@ Vejle BK	W 2-0	43.9	1552	1443	47.27%	25.27%	27.45%	+0.36	+15.0	30
2007-04-15	Silkeborg	W 2-1	53.7	1531	1480	48.78%	25.13%	26.10%	+0.42	+7.2	25
2007-04-15	@ Viborg	L 1-2	53.7	1480	1531	26.10%	25.13%	48.78%	-0.42	-7.2	12
2007-04-18	Aalborg	D 1-1	69.8	1567	1654	30.02%	25.48%	44.50%	-0.26	+0.8	31
2007-04-18	@ Randers	D 1-1	69.8	1654	1567	44.50%	25.48%	30.02%	+0.26	-0.8	42
2007-04-18	Esbjerg	D 0-0	67.1	1708	1615	53.87%	24.44%	21.69%	+0.62	-2.0	46
2007-04-18	@ Odense	D 0-0	67.1	1615	1708	21.69%	24.44%	53.87%	-0.62	+2.0	30
2007-04-18	FC Copenhagen	L 0-1	57.3	1717	1839	26.00%	25.11%	48.89%	-0.42	-7.6	39
2007-04-18	@ Nordsjaelland	W 1-0	57.3	1839	1717	48.89%	25.11%	26.00%	+0.42	+7.6	60
2007-04-18	Midtjylland	D 2-2	77.4	1548	1742	18.89%	23.78%	57.33%	-0.78	+1.7	27
2007-04-18	@ Horsens	D 2-2	77.4	1742	1548	57.33%	23.78%	18.89%	+0.78	-1.7	47
2007-04-18	Vejle BK	D 1-1	59.5	1473	1428	48.17%	25.19%	26.64%	+0.39	-1.2	13
2007-04-18	@ Silkeborg	D 1-1	59.5	1428	1473	26.64%	25.19%	48.17%	-0.39	+1.2	12
2007-04-18	Viborg	W 3-1	53.1	1693	1538	60.54%	23.02%	16.45%	+0.93	+8.2	38
2007-04-18	@ Brondby	L 1-3	53.1	1538	1693	16.45%	23.02%	60.54%	-0.93	-8.2	25
2007-04-21	Randers	W 2-1	57.4	1741	1567	62.36%	22.51%	15.13%	+1.02	+4.4	50
2007-04-21	@ Midtjylland	L 1-2	57.4	1567	1741	15.13%	22.51%	62.36%	-1.02	-4.4	31
2007-04-22	Aalborg	L 0-2	49.6	1530	1654	25.73%	25.08%	49.19%	-0.43	-14.2	25
2007-04-22	@ Viborg	W 2-0	49.6	1654	1530	49.19%	25.08%	25.73%	+0.43	+14.2	45
2007-04-22	Brondby	W 3-0	56.7	1429	1701	13.33%	21.68%	64.99%	-1.16	+43.9	15
2007-04-22	@ Vejle BK	L 0-3	56.7	1701	1429	64.99%	21.68%	13.33%	+1.16	-43.9	38
2007-04-22	Horsens	W 3-1	51.5	1846	1550	72.70%	18.56%	8.73%	+1.62	+4.2	63
2007-04-22	@ FC Copenhagen	L 1-3	51.5	1550	1846	8.73%	18.56%	72.70%	-1.62	-4.2	27
2007-04-22	Odense	W 2-1	64.3	1710	1706	42.66%	25.58%	31.76%	+0.19	+8.4	42
2007-04-22	@ Nordsjaelland	L 1-2	64.3	1706	1710	31.76%	25.58%	42.66%	-0.19	-8.4	46
2007-04-22	Silkeborg	L 0-3	54.3	1617	1472	59.57%	23.26%	17.17%	+0.88	-40.7	30
2007-04-22	@ Esbjerg	W 3-0	54.3	1472	1617	17.17%	23.26%	59.57%	-0.88	+40.7	16
2007-04-28	Midtjylland	W 1-0	61.0	1697	1745	35.34%	25.69%	38.97%	-0.06	+10.4	49
2007-04-28	@ Odense	L 0-1	61.0	1745	1697	38.97%	25.69%	35.34%	+0.06	-10.4	50
2007-04-29	Esbjerg	W 2-1	59.2	1657	1576	52.47%	24.66%	22.87%	+0.56	+6.4	41
2007-04-29	@ Brondby	L 1-2	59.2	1576	1657	22.87%	24.66%	52.47%	-0.56	-6.4	30
2007-04-29	FC Copenhagen	L 0-1	49.9	1513	1851	9.94%	19.55%	70.51%	-1.48	-3.0	16
2007-04-29	@ Silkeborg	W 1-0	49.9	1851	1513	70.51%	19.55%	9.94%	+1.48	+3.0	66
2007-04-29	Nordsjaelland	L 2-3	64.3	1546	1718	20.82%	24.25%	54.93%	-0.67	-5.6	27
2007-04-29	@ Horsens	W 3-2	64.3	1718	1546	54.93%	24.25%	20.82%	+0.67	+5.6	45
2007-04-29	Vejle BK	W 2-0	43.9	1668	1473	64.41%	21.87%	13.72%	+1.12	+8.0	48
2007-04-29	@ Aalborg	L 0-2	43.9	1473	1668	13.72%	21.87%	64.41%	-1.12	-7.9	15
2007-04-29	Viborg	W 3-2	61.5	1563	1515	48.42%	25.16%	26.42%	+0.40	+6.9	34
2007-04-29	@ Randers	L 2-3	61.5	1515	1563	26.42%	25.16%	48.42%	-0.40	-6.9	25
2007-05-05	Aalborg	L 1-2	73.1	1854	1676	62.78%	22.38%	14.84%	+1.04	-14.7	66
2007-05-05	@ FC Copenhagen	W 2-1	73.1	1676	1854	14.84%	22.38%	62.78%	-1.04	+14.6	51
2007-05-06	Brondby	D 3-3	82.1	1724	1663	49.99%	24.99%	25.02%	+0.47	-0.9	46
2007-05-06	@ Nordsjaelland	D 3-3	82.1	1663	1724	25.02%	24.99%	49.99%	-0.47	+0.9	42
2007-05-06	Odense	L 1-2	58.9	1540	1708	21.26%	24.35%	54.39%	-0.65	-6.0	27
2007-05-06	@ Horsens	W 2-1	58.9	1708	1540	54.39%	24.35%	21.26%	+0.65	+6.0	52
2007-05-06	Randers	W 3-1	56.4	1570	1570	42.13%	25.61%	32.26%	+0.17	+14.8	33
2007-05-06	@ Esbjerg	L 1-3	56.4	1570	1570	32.26%	25.61%	42.13%	-0.17	-14.8	34
2007-05-06	Silkeborg	W 3-1	51.4	1735	1510	67.03%	20.95%	12.01%	+1.27	+6.0	53
2007-05-06	@ Midtjylland	L 1-3	51.4	1510	1735	12.01%	20.95%	67.03%	-1.27	-6.0	16
2007-05-06	Viborg	W 2-0	46.6	1465	1509	35.91%	25.70%	38.39%	-0.04	+19.4	18
2007-05-06	@ Vejle BK	L 0-2	46.6	1509	1465	38.39%	25.70%	35.91%	+0.04	-19.4	25
2007-05-09	Esbjerg	W 3-0	50.2	1484	1585	28.45%	25.36%	46.18%	-0.32	+32.7	21
2007-05-09	@ Vejle BK	L 0-3	50.2	1585	1484	46.18%	25.36%	28.45%	+0.32	-32.7	33
2007-05-09	FC Copenhagen	L 0-1	55.3	1664	1839	20.60%	24.21%	55.19%	-0.68	-6.2	42
2007-05-09	@ Brondby	W 1-0	55.3	1839	1664	55.19%	24.21%	20.60%	+0.68	+6.2	69
2007-05-09	Horsens	D 1-1	64.3	1504	1534	37.84%	25.70%	36.45%	+0.02	-0.1	17
2007-05-09	@ Silkeborg	D 1-1	64.3	1534	1504	36.45%	25.70%	37.84%	-0.02	+0.1	28
2007-05-09	Midtjylland	L 0-1	50.3	1489	1741	14.61%	22.29%	63.10%	-1.06	-4.5	25
2007-05-09	@ Viborg	W 1-0	50.3	1741	1489	63.10%	22.29%	14.61%	+1.06	+4.5	56
2007-05-09	Nordsjaelland	D 1-1	72.1	1691	1723	37.59%	25.70%	36.71%	+0.01	-0.0	52
2007-05-09	@ Aalborg	D 1-1	72.1	1723	1691	36.71%	25.70%	37.59%	-0.01	+0.0	47
2007-05-09	Odense	L 1-2	59.6	1555	1714	22.13%	24.52%	53.35%	-0.60	-6.2	34
2007-05-09	@ Randers	W 2-1	59.6	1714	1555	53.35%	24.52%	22.13%	+0.60	+6.2	55
2007-05-12	Brondby	D 1-1	72.4	1745	1658	53.24%	24.54%	22.22%	+0.60	-1.8	57
2007-05-12	@ Midtjylland	D 1-1	72.4	1658	1745	22.22%	24.54%	53.24%	-0.60	+1.8	43
2007-05-13	Aalborg	L 1-4	52.4	1534	1690	22.33%	24.56%	53.11%	-0.59	-15.4	28
2007-05-13	@ Horsens	W 4-1	52.4	1690	1534	53.11%	24.56%	22.33%	+0.59	+15.4	55
2007-05-13	Randers	W 1-0	49.5	1845	1549	72.69%	18.57%	8.74%	+1.62	+2.6	72
2007-05-13	@ FC Copenhagen	L 0-1	49.5	1549	1845	8.74%	18.57%	72.69%	-1.62	-2.6	34
2007-05-13	Silkeborg	W 2-0	45.3	1720	1504	66.28%	21.23%	12.49%	+1.23	+7.2	58
2007-05-13	@ Odense	L 0-2	45.3	1504	1720	12.49%	21.23%	66.28%	-1.23	-7.2	17
2007-05-13	Vejle BK	W 3-0	43.7	1723	1517	65.37%	21.55%	13.08%	+1.18	+11.0	50
2007-05-13	@ Nordsjaelland	L 0-3	43.7	1517	1723	13.08%	21.55%	65.37%	-1.18	-11.0	21
2007-05-13	Viborg	D 2-2	70.5	1552	1485	50.89%	24.88%	24.23%	+0.50	-1.1	34
2007-05-13	@ Esbjerg	D 2-2	70.5	1485	1552	24.23%	24.88%	50.89%	-0.50	+1.1	26
2007-05-19	Esbjerg	W 2-0	47.6	1706	1551	60.56%	23.01%	16.43%	+0.93	+9.5	58
2007-05-19	@ Aalborg	L 0-2	47.6	1551	1706	16.43%	23.01%	60.56%	-0.93	-9.5	34
2007-05-20	FC Copenhagen	L 0-1	49.1	1486	1848	8.92%	18.73%	72.34%	-1.59	-2.7	26
2007-05-20	@ Viborg	W 1-0	49.1	1848	1486	72.34%	18.73%	8.92%	+1.59	+2.7	75
2007-05-20	Horsens	W 2-1	56.6	1546	1519	45.84%	25.39%	28.77%	+0.31	+7.8	37
2007-05-20	@ Randers	L 1-2	56.6	1519	1546	28.77%	25.39%	45.84%	-0.31	-7.8	28
2007-05-20	Midtjylland	L 1-2	56.7	1506	1743	15.55%	22.68%	61.77%	-0.99	-4.5	21
2007-05-20	@ Vejle BK	W 2-1	56.7	1743	1506	61.77%	22.68%	15.55%	+0.99	+4.5	60
2007-05-20	Nordsjaelland	D 1-1	70.8	1496	1734	15.57%	22.69%	61.75%	-0.99	+2.7	18
2007-05-20	@ Silkeborg	D 1-1	70.8	1734	1496	61.75%	22.69%	15.57%	+0.99	-2.7	51
2007-05-20	Odense	W 1-0	61.4	1660	1727	32.70%	25.62%	41.68%	-0.16	+11.0	46
2007-05-20	@ Brondby	L 0-1	61.4	1727	1660	41.68%	25.62%	32.70%	+0.16	-11.0	58
2007-05-24	Aalborg	W 2-1	63.4	1748	1715	46.48%	25.34%	28.17%	+0.33	+7.6	63
2007-05-24	@ Midtjylland	L 1-2	63.4	1715	1748	28.17%	25.34%	46.48%	-0.33	-7.7	58
2007-05-24	Brondby	W 2-1	67.3	1499	1671	20.87%	24.27%	54.87%	-0.67	+13.0	21
2007-05-24	@ Silkeborg	L 1-2	67.3	1671	1499	54.87%	24.27%	20.87%	+0.67	-13.0	46
2007-05-24	Esbjerg	L 1-2	74.4	1850	1541	73.61%	18.13%	8.26%	+1.68	-16.7	75
2007-05-24	@ FC Copenhagen	W 2-1	74.4	1541	1850	8.26%	18.13%	73.61%	-1.68	+16.7	37
2007-05-24	Randers	W 4-2	57.4	1731	1554	62.71%	22.41%	14.89%	+1.03	+6.7	54
2007-05-24	@ Nordsjaelland	L 2-4	57.4	1554	1731	14.89%	22.41%	62.71%	-1.03	-6.7	37
2007-05-24	Vejle BK	L 1-2	59.1	1511	1501	43.43%	25.54%	31.03%	+0.22	-10.7	28
2007-05-24	@ Horsens	W 2-1	59.1	1501	1511	31.03%	25.54%	43.43%	-0.22	+10.7	24
2007-05-24	Viborg	L 2-3	76.0	1716	1483	67.71%	20.70%	11.59%	+1.31	-14.8	58
2007-05-24	@ Odense	W 3-2	76.0	1483	1716	11.59%	20.70%	67.71%	-1.31	+14.8	29
2007-05-27	FC Copenhagen	D 0-0	68.7	1512	1834	10.68%	20.10%	69.22%	-1.40	+3.9	25
2007-05-27	@ Vejle BK	D 0-0	68.7	1834	1512	69.22%	20.10%	10.68%	+1.40	-3.9	76
2007-05-27	Horsens	W 2-0	45.4	1658	1500	60.83%	22.94%	16.23%	+0.94	+9.4	49
2007-05-27	@ Brondby	L 0-2	45.4	1500	1658	16.23%	22.94%	60.83%	-0.94	-9.4	28
2007-05-27	Midtjylland	W 3-0	58.9	1558	1756	18.61%	23.70%	57.69%	-0.79	+39.5	40
2007-05-27	@ Esbjerg	L 0-3	58.9	1756	1558	57.69%	23.70%	18.61%	+0.79	-39.5	63
2007-05-27	Nordsjaelland	L 1-2	56.4	1498	1738	15.40%	22.62%	61.98%	-1.00	-4.5	29
2007-05-27	@ Viborg	W 2-1	56.4	1738	1498	61.98%	22.62%	15.40%	+1.00	+4.5	57
2007-05-27	Odense	W 3-1	60.5	1708	1701	43.01%	25.57%	31.43%	+0.20	+14.5	61
2007-05-27	@ Aalborg	L 1-3	60.5	1701	1708	31.43%	25.57%	43.01%	-0.20	-14.5	58
2007-05-27	Silkeborg	D 1-1	65.3	1547	1512	46.84%	25.31%	27.85%	+0.34	-1.0	38
2007-05-27	@ Randers	D 1-1	65.3	1512	1547	27.85%	25.31%	46.84%	-0.34	+1.0	22

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	2007-05-24	8.26%	Esbjerg	1541	2	@ FC Copenhagen	1850	1
2	2007-05-24	11.59%	Viborg	1483	3	@ Odense	1716	2
3	2007-04-22	13.33%	@ Vejle BK	1429	3	Brondby	1701	0
4	2007-05-05	14.84%	Aalborg	1676	2	@ FC Copenhagen	1854	1
5	2006-10-22	14.94%	Randers	1522	4	@ Aalborg	1698	0
6	2006-10-22	15.62%	@ Vejle BK	1465	3	Nordsjaelland	1702	2
7	2007-04-22	17.17%	Silkeborg	1472	3	@ Esbjerg	1617	0
8	2007-05-27	18.61%	@ Esbjerg	1558	3	Midtjylland	1756	0
9	2007-03-11	19.11%	Randers	1585	2	@ Odense	1706	1
10	2007-03-11	20.71%	Viborg	1548	2	@ Aalborg	1651	0
11	2007-05-24	20.87%	@ Silkeborg	1499	2	Brondby	1671	1
12	2006-10-25	21.10%	Vejle BK	1479	1	@ Randers	1578	0
13	2006-09-17	21.17%	Horsens	1567	2	@ Midtjylland	1665	1
14	2007-04-15	21.55%	Horsens	1535	1	@ Esbjerg	1629	0
15	2006-10-15	23.38%	Midtjylland	1652	3	@ Brondby	1727	1
16	2006-08-13	24.36%	Silkeborg	1549	3	@ Viborg	1615	2
17	2006-08-27	24.52%	@ Randers	1517	3	Esbjerg	1652	1
18	2006-09-30	24.76%	Nordsjaelland	1651	3	@ Aalborg	1714	0
19	2006-10-25	25.18%	Aalborg	1643	2	@ Brondby	1701	1
20	2006-11-12	25.41%	Nordsjaelland	1653	1	@ Odense	1710	0
21	2006-08-27	26.01%	Aalborg	1705	2	@ FC Copenhagen	1756	0
22	2006-11-19	27.07%	@ Randers	1565	2	Brondby	1678	0
23	2006-07-29	27.72%	Esbjerg	1632	2	@ Odense	1668	0
24	2006-09-17	28.21%	Odense	1695	1	@ Aalborg	1728	0
25	2007-05-09	28.45%	@ Vejle BK	1484	3	Esbjerg	1585	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	2006-10-22	55.51	Randers	4	1522	14.94%	@ Aalborg	0	1698	62.63%	22.43%
2	2007-04-22	43.86	@ Vejle BK	3	1429	13.33%	Brondby	0	1701	64.99%	21.68%
3	2007-04-22	40.67	Silkeborg	3	1472	17.17%	@ Esbjerg	0	1617	59.57%	23.26%
4	2007-05-27	39.54	@ Esbjerg	3	1558	18.61%	Midtjylland	0	1756	57.69%	23.70%
5	2006-09-30	35.08	Nordsjaelland	3	1651	24.76%	@ Aalborg	0	1714	50.28%	24.95%
6	2006-10-01	35.03	Esbjerg	4	1618	38.45%	@ Viborg	0	1574	35.85%	25.70%
7	2007-05-09	32.67	@ Vejle BK	3	1484	28.45%	Esbjerg	0	1585	46.18%	25.36%
8	2006-07-19	32.26	@ Nordsjaelland	5	1599	50.21%	Randers	0	1538	24.83%	24.96%
9	2007-04-05	31.18	Nordsjaelland	6	1687	44.50%	@ Randers	1	1599	30.01%	25.48%
10	2006-10-22	28.77	@ Midtjylland	3	1673	34.94%	Odense	0	1724	39.37%	25.69%
11	2007-03-11	26.13	Viborg	2	1548	20.71%	@ Aalborg	0	1651	55.06%	24.23%
12	2007-03-18	25.03	@ Aalborg	4	1625	51.68%	Horsens	0	1551	23.55%	24.77%
13	2006-10-25	24.63	Midtjylland	4	1702	34.17%	@ Nordsjaelland	1	1688	40.16%	25.67%
14	2006-08-27	23.58	Aalborg	2	1705	26.01%	@ FC Copenhagen	0	1756	48.87%	25.12%
15	2006-11-19	23.11	@ Randers	2	1565	27.07%	Brondby	0	1678	47.70%	25.23%
16	2007-04-09	22.83	FC Copenhagen	4	1807	37.99%	@ Midtjylland	1	1766	36.31%	25.70%
17	2006-07-29	22.81	Esbjerg	2	1632	27.72%	@ Odense	0	1668	46.98%	25.30%
18	2006-11-19	22.73	@ Nordsjaelland	4	1666	54.61%	Horsens	0	1567	21.08%	24.31%
19	2006-07-30	22.64	@ Aalborg	4	1675	54.72%	Vejle BK	0	1575	20.99%	24.29%
20	2006-10-15	21.49	Midtjylland	3	1652	23.38%	@ Brondby	1	1727	51.88%	24.74%
21	2007-03-17	21.34	Silkeborg	2	1471	31.14%	@ Vejle BK	0	1480	43.31%	25.55%
22	2006-08-27	21.02	@ Randers	3	1517	24.52%	Esbjerg	1	1652	50.56%	24.92%
23	2006-08-20	20.88	Horsens	2	1561	32.27%	@ Silkeborg	0	1561	42.12%	25.61%
24	2006-10-15	19.47	Aalborg	2	1679	35.81%	@ Esbjerg	0	1653	38.49%	25.70%
25	2007-05-06	19.43	@ Vejle BK	2	1465	35.91%	Viborg	0	1509	38.39%	25.70%

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	2007-05-06	82.1	@ Nordsjaelland	3	1724	49.99%	Brondby	3	1663	25.02%	24.99%
2	2006-11-18	78.7	@ FC Copenhagen	2	1798	49.23%	Midtjylland	2	1744	25.69%	25.08%
3	2006-09-24	78.2	@ Odense	2	1707	38.06%	Brondby	2	1736	36.24%	25.70%
4	2006-09-09	77.7	@ Esbjerg	2	1631	28.41%	FC Copenhagen	2	1732	46.23%	25.36%
5	2007-03-10	77.5	@ Midtjylland	2	1745	70.54%	Vejle BK	2	1477	9.92%	19.54%
6	2006-10-04	77.4	@ Midtjylland	2	1652	37.22%	Nordsjaelland	2	1687	37.08%	25.71%
7	2007-04-18	77.4	@ Horsens	2	1548	18.89%	Midtjylland	2	1742	57.33%	23.78%
8	2006-09-24	76.9	@ Esbjerg	3	1620	60.07%	Vejle BK	3	1469	16.79%	23.14%
9	2007-05-24	76.0	Viborg	3	1483	11.59%	@ Odense	2	1716	67.71%	20.70%
10	2006-07-30	75.4	@ Horsens	2	1576	34.64%	Viborg	2	1629	39.68%	25.68%
11	2007-05-24	74.4	Esbjerg	2	1541	8.26%	@ FC Copenhagen	1	1850	73.61%	18.13%
12	2006-10-22	74.1	@ Vejle BK	3	1465	15.62%	Nordsjaelland	2	1702	61.67%	22.71%
13	2007-05-05	73.1	Aalborg	2	1676	14.84%	@ FC Copenhagen	1	1854	62.78%	22.38%
14	2007-03-18	73.0	@ FC Copenhagen	1	1799	57.90%	Nordsjaelland	1	1670	18.45%	23.66%
15	2007-04-15	72.4	@ Midtjylland	1	1743	45.78%	Nordsjaelland	1	1716	28.83%	25.40%
16	2007-05-12	72.4	@ Midtjylland	1	1745	53.24%	Brondby	1	1658	22.22%	24.54%
17	2006-08-13	72.3	@ FC Copenhagen	1	1739	52.69%	Odense	1	1657	22.69%	24.63%
18	2006-09-09	72.3	@ Aalborg	1	1728	42.78%	Brondby	1	1723	31.64%	25.58%
19	2007-05-09	72.1	@ Aalborg	1	1691	37.59%	Nordsjaelland	1	1723	36.71%	25.70%
20	2007-04-09	71.9	@ Nordsjaelland	1	1718	53.71%	Esbjerg	1	1627	21.83%	24.46%
21	2007-04-01	71.8	@ Odense	1	1702	48.95%	Aalborg	1	1650	25.95%	25.11%
22	2007-04-14	71.6	@ Aalborg	3	1645	34.05%	Brondby	2	1702	40.28%	25.67%
23	2006-07-30	71.4	@ Midtjylland	1	1637	34.37%	Brondby	1	1692	39.96%	25.67%
24	2006-08-13	71.4	Silkeborg	3	1549	24.36%	@ Viborg	2	1615	50.74%	24.90%
25	2006-11-04	71.2	@ Nordsjaelland	1	1654	41.25%	Aalborg	1	1660	33.11%	25.64%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2007-04-01	40.8	@ Brondby	4	1673	66.10%	Vejle BK	0	1458	12.61%	21.29%
2	2006-10-29	42.3	@ FC Copenhagen	3	1773	71.47%	Vejle BK	0	1493	9.40%	19.13%
3	2007-05-13	43.7	@ Nordsjaelland	3	1723	65.37%	Vejle BK	0	1517	13.08%	21.55%
4	2007-04-15	43.9	Randers	2	1552	47.27%	@ Vejle BK	0	1443	27.45%	25.27%
5	2007-04-29	43.9	@ Aalborg	2	1668	64.41%	Vejle BK	0	1473	13.72%	21.87%
6	2006-10-22	44.5	@ FC Copenhagen	3	1763	66.38%	Viborg	0	1545	12.43%	21.20%
7	2007-05-13	45.3	@ Odense	2	1720	66.28%	Silkeborg	0	1504	12.49%	21.23%
8	2007-05-27	45.4	@ Brondby	2	1658	60.83%	Horsens	0	1500	16.23%	22.94%
9	2006-08-19	45.5	FC Copenhagen	4	1737	60.14%	@ Vejle BK	0	1516	16.74%	23.12%
10	2007-03-18	46.4	@ Aalborg	4	1625	51.68%	Horsens	0	1551	23.55%	24.77%
11	2007-04-08	46.6	@ Brondby	3	1686	56.76%	Randers	0	1568	19.34%	23.90%
12	2007-05-06	46.6	@ Vejle BK	2	1465	35.91%	Viborg	0	1509	38.39%	25.70%
13	2006-07-19	46.7	@ Nordsjaelland	5	1599	50.21%	Randers	0	1538	24.83%	24.96%
14	2006-11-19	46.7	@ Nordsjaelland	4	1666	54.61%	Horsens	0	1567	21.08%	24.31%
15	2006-08-05	46.9	@ Brondby	3	1692	56.45%	Horsens	0	1576	19.59%	23.96%
16	2006-07-30	47.0	@ Aalborg	4	1675	54.72%	Vejle BK	0	1575	20.99%	24.29%
17	2007-03-17	47.2	Silkeborg	2	1471	31.14%	@ Vejle BK	0	1480	43.31%	25.55%
18	2007-05-19	47.6	@ Aalborg	2	1706	60.56%	Esbjerg	0	1551	16.43%	23.01%
19	2006-08-20	47.9	@ Brondby	3	1706	54.97%	Viborg	0	1604	20.79%	24.25%
20	2006-10-14	48.2	FC Copenhagen	2	1753	60.16%	@ Randers	0	1532	16.73%	23.11%
21	2006-11-12	48.2	@ Esbjerg	1	1640	61.05%	Vejle BK	0	1480	16.07%	22.88%
22	2006-10-15	48.8	@ Nordsjaelland	5	1687	60.36%	Silkeborg	1	1534	16.58%	23.06%
23	2006-10-15	48.9	@ Odense	2	1714	58.28%	Horsens	0	1581	18.15%	23.57%
24	2007-05-20	49.1	FC Copenhagen	1	1848	72.34%	@ Viborg	0	1486	8.92%	18.73%
25	2006-08-27	49.3	@ Viborg	1	1587	53.45%	Vejle BK	0	1498	22.04%	24.51%