2007-08 Superliga Season

198 games

Final

Champion

Aalborg

71 points · 3rd Title

Last Title: 1998-99

Relegated

Lyngby

18 pts

Viborg · 20 pts

Biggest Overachiever

Aalborg

16.02 points above expected

71 points · 54.98 expected points

Biggest Disappointment

Nordsjaelland

11.16 points below expected

43 points · 54.16 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	Aalborg Champion	33	22	5	6	71	60	38	+22	54.98	+16.02
2	Midtjylland	33	18	8	7	62	53	36	+17	54.84	+7.16
3	FC Copenhagen	33	17	9	7	60	51	29	+22	62.27	-2.27
4	Odense	33	12	16	5	52	46	27	+19	56.46	-4.46
5	Horsens	33	14	10	9	52	47	43	+4	40.46	+11.54
6	Randers	33	13	8	12	47	41	33	+8	44.83	+2.17
7	Esbjerg	33	13	6	14	45	59	54	+5	46.61	-1.61
8	Brondby	33	11	10	12	43	44	44	0	45.13	-2.13
9	Nordsjaelland	33	11	10	12	43	47	51	-4	54.16	-11.16
10	Aarhus GF	33	7	8	18	29	33	51	-18	31.92	-2.92
11	Viborg Relegated	33	5	5	23	20	29	68	-39	29.45	-9.45
12	Lyngby Relegated	33	3	9	21	18	33	69	-36	23.86	-5.86

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	Aalborg	71	54.98	+16.02
2	Horsens	52	40.46	+11.54
3	Midtjylland	62	54.84	+7.16
4	Randers	47	44.83	+2.17
5	Esbjerg	45	46.61	-1.61

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Nordsjaelland	43	54.16	-11.16
2	Viborg	20	29.45	-9.45
3	Lyngby	18	23.86	-5.86
4	Odense	52	56.46	-4.46
5	Aarhus GF	29	31.92	-2.92

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	Aalborg	6	Aug 26 – Oct 8	1 in 87
2	Midtjylland	4	Mar 23 – Apr 13	1 in 81
3	Randers	4	Jul 18 – Aug 5	1 in 48
4	Horsens	2	Jul 18 – Jul 23	1 in 12
5	Lyngby	1	Jul 29 – Jul 29	1 in 11

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Viborg	7	Sep 24 – Nov 12	1 in 150
2	Randers	4	Aug 26 – Sep 23	1 in 59
3	Esbjerg	3	Aug 26 – Sep 17	1 in 19
4	Brondby	2	Aug 18 – Aug 26	1 in 17
5	Nordsjaelland	3	May 4 – May 12	1 in 16

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Aarhus GF	5	Nov 12 – Mar 20	1 in 24
2	FC Copenhagen	12	Jul 25 – Oct 20	1 in 20
3	Midtjylland	9	Mar 23 – May 7	1 in 19
4	Horsens	5	Jul 18 – Aug 12	1 in 17
5	Lyngby	2	Jul 25 – Jul 29	1 in 14

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Brondby	7	Aug 13 – Sep 30	1 in 30
2	Randers	7	Aug 12 – Sep 30	1 in 29
3	Nordsjaelland	6	May 4 – May 24	1 in 23
4	Odense	5	May 7 – May 24	1 in 21
5	FC Copenhagen	4	Apr 6 – Apr 24	1 in 21

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
Aalborg	1777	71	+7	12	9.2	+2.8
Midtjylland	1770	62	+30	12	8.4	+3.6
FC Copenhagen	1793	60	+25	12	9.7	+2.3
Horsens	1634	52	-3	8	6.7	+1.3
Odense	1751	52	-25	3	7.9	-4.9
Randers	1660	47	+12	10	7.4	+2.6
Esbjerg	1663	45	-12	7	7.8	-0.8
Brondby	1673	43	-9	5	7.1	-2.1
Nordsjaelland	1654	43	-34	2	7.0	-5.0
Aarhus GF	1540	29	+0	4	4.1	-0.1
Viborg	1464	20	-4	4	4.2	-0.2
Lyngby	1433	18	+15	4	3.2	+0.8

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	LYN	MID	NOR	ODE	RAN	VIB
Aalborg	—	3-0-0 6.20	3-0-0 5.17	2-1-0 4.25	0-2-1 3.84	2-1-0 5.03	3-0-0 6.67	1-0-2 3.81	3-0-0 4.38	1-1-1 4.28	1-0-2 4.58	3-0-0 6.72
Aarhus GF	0-0-3 2.13	—	1-1-1 2.54	1-1-1 2.51	0-1-2 2.07	0-1-2 3.80	2-1-0 5.35	1-0-2 2.09	0-1-2 2.58	0-0-3 2.54	1-1-1 2.72	1-1-1 4.18
Brondby	0-0-3 3.05	1-1-1 5.72	—	1-0-2 3.87	1-1-1 2.80	2-0-1 4.24	2-1-0 6.41	1-1-1 3.31	1-1-1 3.83	0-2-1 3.41	1-1-1 4.27	1-2-0 5.29
Esbjerg	0-1-2 3.94	1-1-1 5.77	2-0-1 4.31	—	1-0-2 2.63	0-0-3 4.49	3-0-0 6.07	2-1-0 3.59	0-0-3 3.34	0-3-0 3.06	1-0-2 4.57	3-0-0 5.25
FC Copenhagen	1-2-0 4.34	2-1-0 6.26	1-1-1 5.44	2-0-1 5.62	—	2-0-1 6.09	3-0-0 7.44	0-2-1 5.19	1-1-1 4.56	1-2-0 4.31	1-0-2 5.69	3-0-0 7.03
Horsens	0-1-2 3.19	2-1-0 4.39	1-0-2 3.94	3-0-0 3.70	1-0-2 2.23	—	1-1-1 5.64	1-2-0 3.17	2-1-0 2.71	0-2-1 2.51	2-1-0 3.81	1-1-1 4.93
Lyngby	0-0-3 1.73	0-1-2 2.90	0-1-2 1.94	0-0-3 2.25	0-0-3 1.13	1-1-1 2.62	—	0-0-3 1.72	1-2-0 1.56	0-2-1 1.42	0-2-1 2.36	1-0-2 3.10
Midtjylland	2-0-1 4.38	2-0-1 6.25	1-1-1 4.90	0-1-2 4.59	1-2-0 3.03	0-2-1 5.04	3-0-0 6.68	—	2-1-0 4.11	3-0-0 4.17	2-0-1 5.19	2-1-0 6.56
Nordsjaelland	0-0-3 3.81	2-1-0 5.67	1-1-1 4.35	3-0-0 4.86	1-1-1 3.64	0-1-2 5.54	0-2-1 6.88	0-1-2 4.06	—	0-2-1 3.52	1-1-1 4.17	3-0-0 6.42
Odense	1-1-1 3.91	3-0-0 5.73	1-2-0 4.80	0-3-0 5.17	0-2-1 3.88	1-2-0 5.75	1-2-0 7.07	0-0-3 4.03	1-2-0 4.68	—	1-2-0 4.41	3-0-0 6.59
Randers	2-0-1 3.63	1-1-1 5.53	1-1-1 3.90	2-0-1 3.62	2-0-1 2.56	0-1-2 4.37	1-2-0 5.95	1-0-2 3.03	1-1-1 4.02	0-2-1 3.77	—	2-0-1 5.82
Viborg	0-0-3 1.69	1-1-1 4.02	0-2-1 2.97	0-0-3 3.00	0-0-3 1.44	1-1-1 3.29	2-0-1 5.11	0-1-2 1.81	0-0-3 1.94	0-0-3 1.81	1-0-2 2.46	—

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	0.75	+14.1
Allowed	0.69	-9.8
Differential	0.92	+7.4

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	9.09%	6.82%	6.57%	3.03%	1.01%	0.76%	27.27%
1	6.82%	12.12%	8.84%	3.79%	0.76%	0.25%	32.58%
2	6.57%	8.84%	3.54%	3.28%	0.25%	0.25%	22.73%
3	3.03%	3.79%	3.28%	1.52%	0.51%	0.76%	12.88%
4	1.01%	0.76%	0.25%	0.51%	—	—	2.53%
5+	0.76%	0.25%	0.25%	0.76%	—	—	2.02%
Total	27.27%	32.58%	22.73%	12.88%	2.53%	2.02%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.37	1.37	+0.00
SD	1.21	1.21	1.69
CV	0.88	0.88	—
Max	6	6	+5
Min	0	0	-5

Games Played: 198

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.82	1.15	+0.67
SD	1.31	1.33	1.78
CV	0.72	1.15	—
Max	5	5	+3
Min	0	0	-5

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	12.12%	6.06%	21.21%	—	—	—	39.39%
1	9.09%	6.06%	12.12%	3.03%	3.03%	—	33.33%
2	6.06%	—	3.03%	6.06%	—	—	15.15%
3	—	6.06%	—	3.03%	—	3.03%	12.12%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	27.27%	18.18%	36.36%	12.12%	3.03%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.00	1.55	-0.55
SD	1.03	1.28	1.39
CV	1.03	0.83	—
Max	3	5	+2
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	15.15%	6.06%	3.03%	—	3.03%	30.30%
1	—	21.21%	3.03%	—	—	—	24.24%
2	—	15.15%	6.06%	3.03%	3.03%	—	27.27%
3	12.12%	6.06%	—	—	—	—	18.18%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	15.15%	57.58%	15.15%	6.06%	3.03%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.33	1.33	+0.00
SD	1.11	1.11	1.79
CV	0.83	0.83	—
Max	3	5	+3
Min	0	0	-5

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	6.06%	3.03%	—	—	—	12.12%
1	6.06%	9.09%	12.12%	12.12%	—	—	39.39%
2	3.03%	9.09%	6.06%	3.03%	—	3.03%	24.24%
3	—	3.03%	9.09%	—	3.03%	—	15.15%
4	3.03%	—	—	—	—	—	3.03%
5+	3.03%	3.03%	—	—	—	—	6.06%
Total	18.18%	30.30%	30.30%	15.15%	3.03%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.79	1.64	+0.15
SD	1.39	1.22	1.92
CV	0.78	0.75	—
Max	6	5	+5
Min	0	0	-3

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.55	0.88	+0.67
SD	1.30	0.86	1.41
CV	0.84	0.98	—
Max	5	3	+4
Min	0	0	-2

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	12.12%	9.09%	3.03%	3.03%	—	—	27.27%
1	6.06%	12.12%	6.06%	3.03%	3.03%	—	30.30%
2	3.03%	15.15%	3.03%	—	—	—	21.21%
3	—	9.09%	3.03%	3.03%	—	—	15.15%
4	—	—	3.03%	3.03%	—	—	6.06%
5+	—	—	—	—	—	—	—
Total	21.21%	45.45%	18.18%	12.12%	3.03%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.42	1.30	+0.12
SD	1.23	1.05	1.36
CV	0.86	0.80	—
Max	4	4	+2
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	15.15%	—	6.06%	12.12%	—	—	33.33%
1	3.03%	6.06%	18.18%	12.12%	3.03%	3.03%	45.45%
2	3.03%	—	6.06%	3.03%	—	—	12.12%
3	—	—	—	—	3.03%	3.03%	6.06%
4	—	3.03%	—	—	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	21.21%	9.09%	30.30%	27.27%	6.06%	6.06%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.00	2.09	-1.09
SD	1.00	1.51	1.59
CV	1.00	0.72	—
Max	4	6	+3
Min	0	0	-5

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	3.03%	6.06%	3.03%	—	—	15.15%
1	9.09%	15.15%	6.06%	—	—	—	30.30%
2	9.09%	21.21%	6.06%	3.03%	—	—	39.39%
3	3.03%	3.03%	6.06%	—	—	—	12.12%
4	—	—	—	—	—	—	—
5+	3.03%	—	—	—	—	—	3.03%
Total	27.27%	42.42%	24.24%	6.06%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.61	1.09	+0.52
SD	1.09	0.88	1.52
CV	0.68	0.81	—
Max	5	3	+5
Min	0	0	-3

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.42	1.55	-0.12
SD	1.32	1.03	1.52
CV	0.93	0.67	—
Max	5	3	+4
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	18.18%	3.03%	3.03%	—	—	—	24.24%
1	3.03%	21.21%	6.06%	3.03%	—	—	33.33%
2	21.21%	—	3.03%	—	—	—	24.24%
3	6.06%	—	3.03%	6.06%	—	—	15.15%
4	3.03%	—	—	—	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	51.52%	24.24%	15.15%	9.09%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.39	0.82	+0.58
SD	1.12	1.01	1.41
CV	0.80	1.24	—
Max	4	3	+4
Min	0	0	-2

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	15.15%	12.12%	6.06%	3.03%	—	—	36.36%
1	12.12%	6.06%	6.06%	3.03%	—	—	27.27%
2	3.03%	9.09%	3.03%	6.06%	—	—	21.21%
3	6.06%	3.03%	—	—	—	—	9.09%
4	—	3.03%	—	—	—	—	3.03%
5+	3.03%	—	—	—	—	—	3.03%
Total	39.39%	33.33%	15.15%	12.12%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.24	1.00	+0.24
SD	1.30	1.03	1.71
CV	1.05	1.03	—
Max	5	3	+5
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	12.12%	15.15%	3.03%	9.09%	3.03%	45.45%
1	—	12.12%	9.09%	6.06%	—	—	27.27%
2	6.06%	6.06%	—	9.09%	—	—	21.21%
3	—	—	3.03%	—	—	3.03%	6.06%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	9.09%	30.30%	27.27%	18.18%	9.09%	6.06%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.88	2.06	-1.18
SD	0.96	1.34	1.67
CV	1.09	0.65	—
Max	3	5	+2
Min	0	0	-5

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	1793	60	62.27	-2.27	39.0%	44	49	58	62	67	73	83
Aalborg	1777	71	54.98	+16.02	100.0%	39	42	50	54	61	65	71
Midtjylland	1770	62	54.84	+7.16	85.0%	41	43	50	56	60	65	69
Odense	1751	52	56.46	-4.46	30.0%	43	45	51	57	61	67	73
Brondby	1673	43	45.13	-2.13	41.0%	29	33	41	45	49	56	60
Esbjerg	1663	45	46.61	-1.61	48.0%	29	35	42	46	51	59	65
Randers	1660	47	44.83	+2.17	64.0%	25	33	40	45	49	57	59
Nordsjaelland	1654	43	54.16	-11.16	8.0%	40	42	49	54	59	64	72
Horsens	1634	52	40.46	+11.54	97.0%	26	28	35	40	46	52	57
Aarhus GF	1540	29	31.92	-2.92	34.0%	18	21	27	32	36	42	45
Viborg	1464	20	29.45	-9.45	9.0%	13	17	26	29	34	40	43
Lyngby	1433	18	23.86	-5.86	17.0%	10	13	20	24	28	34	41

Point Totals in Context

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

Home-Field Advantage Edge

The simulation applies the same home-field boost to every game across the league, so the per-game home win probabilities bake in the model's idea of HFA. For each team, we sum expected points at home and compare to actual home points, and the same on the road. The bar shows (home points above expected) minus (away points above expected). A tall positive bar means the team's home/road split exceeded what the model predicted — a real fortress effect. A tall negative bar means the reverse: they played worse at home or better on the road than expected.

Season Trends

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

Edges & Scoring

How these are measured

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

Home Edge: Share of matches won by the home team minus the share won by the away team.
No Edge: under 8.5% * Slight Edge: 8.5% to 12.5% * Clear Edge: 12.5% to 17.5% * Strong Edge: 17.5% and up.
Elo Value: Number of Elo rating points one goal is worth. A team this many Elo points better than another is expected to win by one goal on a neutral field.
Scoring Tilt: Average home goals minus average away goals per match. The gold line is the home goals edge implied by the scoring value of an Elo point and the home-field Elo bonus.
Road-Tilted: under -0.2 * Neutral: -0.2 to 0.5 * Home-Tilted: 0.5 to 1.2 * Strong Home: 1.2 and up.

Home Edge

HomeDrawAway

+21.21%

Strong Edge

47.47%26.26%26.26%

Elo Value

Home Edge

223 Elo

0.004 goals per Elo point

074.83600

Scoring Tilt

Expected

+0.38 goals

Neutral

-2+0.34+2

Title Race

How these are measured

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

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

Title-Race Openness

3.1

Top-Heavy

134610

Champion Preseason Odds

16%

Aalborg, 2nd of 12

LongshotFavorite

Title Margin

Expected

0.27/gm

Runaway

00.170.5/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 5.43 * Some Luck: 5.43 to 8.15 * Lucky: 8.15 to 10.87 * Wild Swing: 10.87 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 1.11 * Close: 1.11 to 1.67 * Off: 1.67 to 2.22 * Way Off: 2.22 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 0.52 * A Surprise: 0.52 to 0.83 * Several Surprises: 0.83 to 1.14 * Many Surprises: 1.14 and up.

Luck Spread

Expected

7.82 points

Some Luck

06.7917

Average Finish Error

Expected

1.67

Off

01.393

Biggest Overachiever

Expected 95.83%

100.00%

Aalborg

50100

Biggest Underachiever

Expected 4.17%

8.00%

Nordsjaelland

050

Season Outliers

Expected

2 of 12

Minimal Outliers

01.26

Unexpected Relegations

Expected

0 of 2

As Expected

00.52

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

0.19

Lopsided

00.120.5

Noll-Scully

Elo SD: 119.10

2.17

Wide Separation

0.651.351.61.92.5

Interquartile Edge

70%

Wide Edge

50%59%69%100%

Best vs. Worst

Baseline

89%

Dominant

50%91%100%

Close Games

Expected

65%

Very Frequent

0%62%100%

Blowouts

Expected

12%

Rare

0%14%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

0.57

Predictable

00.592

Matchup Imbalance

0.39

Lopsided

00.280.370.5

Strangeness

Expected

1.29

Wilder Than Modeled

01.002

Repeatability

0.65

Near-Lock

00.30.50.631

Upset Rate

Expected

16%

Chalky

0%23%50%

Clear Favorite Upset Rate

Expected

14%

Solid Favorites

0%18%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

0.30

Well Calibrated

0.010.050.10.51

Calibration slope

Ideal

1.29

Underconfident

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.095

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
Aalborg	16.00%	14.00%	14.00%	20.00%	15.00%	12.00%	2.00%	6.00%	1.00%	—	—	—
Midtjylland	11.00%	14.00%	25.00%	16.00%	6.00%	15.00%	10.00%	3.00%	—	—	—	—
FC Copenhagen	52.00%	19.00%	15.00%	6.00%	5.00%	2.00%	1.00%	—	—	—	—	—
Odense	12.00%	23.00%	18.00%	18.00%	15.00%	6.00%	6.00%	2.00%	—	—	—	—
Horsens	—	1.00%	1.00%	2.00%	7.00%	8.00%	13.00%	24.00%	17.00%	18.00%	8.00%	1.00%
Randers	1.00%	3.00%	3.00%	3.00%	7.00%	22.00%	21.00%	15.00%	18.00%	6.00%	1.00%	—
Esbjerg	1.00%	6.00%	6.00%	7.00%	16.00%	10.00%	19.00%	15.00%	15.00%	4.00%	1.00%	—
Brondby	—	2.00%	3.00%	8.00%	14.00%	14.00%	19.00%	17.00%	18.00%	4.00%	1.00%	—
Nordsjaelland	7.00%	18.00%	15.00%	20.00%	15.00%	11.00%	9.00%	5.00%	—	—	—	—
Aarhus GF	—	—	—	—	—	—	—	6.00%	19.00%	35.00%	29.00%	11.00%
Viborg	—	—	—	—	—	—	—	5.00%	12.00%	20.00%	39.00%	24.00%
Lyngby	—	—	—	—	—	—	—	2.00%	—	13.00%	21.00%	64.00%

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%	—
FC Copenhagen	100%	—
Midtjylland	100%	—
Nordsjaelland	100%	—
Odense	100%	—
Brondby	99.00%	1.00%
Esbjerg	99.00%	1.00%
Randers	99.00%	1.00%
Horsens	91.00%	9.00%
Aarhus GF	60.00%	40.00%
Viborg	37.00%	63.00%
Lyngby	15.00%	85.00%

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
2007-07-18	Brondby	W 1-0	58.3	1646	1686	41.09%	27.68%	31.23%	+0.16	+6.6	3
2007-07-18	@ Esbjerg	L 0-1	58.3	1686	1646	31.23%	27.68%	41.09%	-0.16	-6.6	0
2007-07-18	FC Copenhagen	W 1-0	59.7	1733	1781	39.89%	27.76%	32.35%	+0.12	+6.7	3
2007-07-18	@ Nordsjaelland	L 0-1	59.7	1781	1733	32.35%	27.76%	39.89%	-0.12	-6.7	0
2007-07-18	Horsens	L 1-2	64.0	1565	1585	43.84%	27.43%	28.73%	+0.25	-8.0	0
2007-07-18	@ Aarhus GF	W 2-1	64.0	1585	1565	28.73%	27.43%	43.84%	-0.25	+8.0	3
2007-07-18	Viborg	W 2-0	49.3	1617	1585	50.57%	26.32%	23.11%	+0.48	+9.7	3
2007-07-18	@ Randers	L 0-2	49.3	1585	1617	23.11%	26.32%	50.57%	-0.48	-9.7	0
2007-07-21	Nordsjaelland	D 2-2	77.0	1679	1740	38.11%	27.83%	34.06%	+0.06	-0.1	1
2007-07-21	@ Brondby	D 2-2	77.0	1740	1679	34.06%	27.83%	38.11%	-0.06	+0.1	4
2007-07-22	Esbjerg	L 0-5	52.8	1575	1653	35.62%	27.86%	36.52%	-0.01	-31.9	0
2007-07-22	@ Viborg	W 5-0	52.8	1653	1575	36.52%	27.86%	35.62%	+0.01	+31.9	6
2007-07-22	Odense	L 0-2	52.0	1557	1696	27.65%	27.28%	45.07%	-0.29	-11.2	0
2007-07-22	@ Aarhus GF	W 2-0	52.0	1696	1557	45.07%	27.28%	27.65%	+0.29	+11.2	3
2007-07-22	Randers	L 0-3	46.6	1489	1626	27.90%	27.32%	44.78%	-0.28	-16.4	0
2007-07-22	@ Lyngby	W 3-0	46.6	1626	1489	44.78%	27.32%	27.90%	+0.28	+16.4	6
2007-07-23	Midtjylland	W 2-1	66.7	1592	1713	29.89%	27.56%	42.55%	-0.21	+7.8	6
2007-07-23	@ Horsens	L 1-2	66.7	1713	1592	42.55%	27.56%	29.89%	+0.21	-7.8	0
2007-07-25	FC Copenhagen	D 1-1	71.7	1718	1774	38.73%	27.81%	33.46%	+0.08	-0.2	1
2007-07-25	@ Aalborg	D 1-1	71.7	1774	1718	33.46%	27.81%	38.73%	-0.08	+0.2	1
2007-07-25	Lyngby	D 1-1	71.1	1708	1473	72.23%	17.76%	10.01%	+1.39	-2.7	4
2007-07-25	@ Odense	D 1-1	71.1	1473	1708	10.01%	17.76%	72.23%	-1.39	+2.7	1
2007-07-28	Viborg	W 3-1	50.5	1775	1543	71.91%	17.93%	10.16%	+1.38	+3.5	4
2007-07-28	@ FC Copenhagen	L 1-3	50.5	1543	1775	10.16%	17.93%	71.91%	-1.38	-3.5	0
2007-07-29	Brondby	W 5-0	50.8	1705	1679	49.86%	26.47%	23.67%	+0.45	+23.1	3
2007-07-29	@ Midtjylland	L 0-5	50.8	1679	1705	23.67%	26.47%	49.86%	-0.45	-23.1	1
2007-07-29	Horsens	D 3-3	81.1	1705	1600	59.18%	23.78%	17.04%	+0.81	-1.1	5
2007-07-29	@ Odense	D 3-3	81.1	1600	1705	17.04%	23.78%	59.18%	-0.81	+1.1	7
2007-07-29	Lyngby	L 0-1	66.1	1740	1475	74.80%	16.35%	8.86%	+1.52	-12.8	4
2007-07-29	@ Nordsjaelland	W 1-0	66.1	1475	1740	8.86%	16.35%	74.80%	-1.52	+12.8	4
2007-07-30	Aarhus GF	D 2-2	76.5	1685	1546	62.90%	22.30%	14.80%	+0.96	-1.5	7
2007-07-30	@ Esbjerg	D 2-2	76.5	1546	1685	14.80%	22.30%	62.90%	-0.96	+1.5	1
2007-08-01	Aalborg	W 5-0	54.7	1643	1718	36.00%	27.86%	36.14%	+0.00	+32.2	9
2007-08-01	@ Randers	L 0-5	54.7	1718	1643	36.14%	27.86%	36.00%	+0.00	-32.2	1
2007-08-04	FC Copenhagen	L 0-1	53.6	1547	1778	18.80%	24.70%	56.50%	-0.70	-4.2	1
2007-08-04	@ Aarhus GF	W 1-0	53.6	1778	1547	56.50%	24.70%	18.80%	+0.70	+4.2	7
2007-08-05	Aalborg	D 1-1	70.1	1601	1686	34.73%	27.85%	37.43%	-0.04	+0.1	8
2007-08-05	@ Horsens	D 1-1	70.1	1686	1601	37.43%	27.85%	34.73%	+0.04	-0.1	2
2007-08-05	Lyngby	W 3-0	41.2	1656	1488	65.88%	20.97%	13.15%	+1.09	+7.9	4
2007-08-05	@ Brondby	L 0-3	41.2	1488	1656	13.15%	20.97%	65.88%	-1.09	-7.9	4
2007-08-05	Randers	L 1-3	64.8	1683	1675	47.56%	26.91%	25.54%	+0.37	-14.7	7
2007-08-05	@ Esbjerg	W 3-1	64.8	1675	1683	25.54%	26.91%	47.56%	-0.37	+14.7	12
2007-08-05	Viborg	W 1-0	49.4	1729	1540	67.94%	19.98%	12.08%	+1.18	+2.6	6
2007-08-05	@ Midtjylland	L 0-1	49.4	1540	1729	12.08%	19.98%	67.94%	-1.18	-2.6	0
2007-08-06	Nordsjaelland	W 3-0	52.2	1704	1727	43.31%	27.49%	29.20%	+0.23	+17.0	8
2007-08-06	@ Odense	L 0-3	52.2	1727	1704	29.20%	27.49%	43.31%	-0.23	-17.1	4
2007-08-08	Aalborg	W 2-1	61.0	1731	1686	52.26%	25.92%	21.82%	+0.54	+4.6	9
2007-08-08	@ Midtjylland	L 1-2	61.0	1686	1731	21.82%	25.92%	52.26%	-0.54	-4.6	2
2007-08-11	Esbjerg	W 5-2	55.0	1782	1669	60.19%	23.40%	16.42%	+0.85	+7.4	10
2007-08-11	@ FC Copenhagen	L 2-5	55.0	1669	1782	16.42%	23.40%	60.19%	-0.85	-7.4	7
2007-08-12	Aarhus GF	W 2-0	46.1	1681	1543	62.78%	22.35%	14.87%	+0.95	+6.3	5
2007-08-12	@ Aalborg	L 0-2	46.1	1543	1681	14.87%	22.35%	62.78%	-0.95	-6.2	1
2007-08-12	Horsens	D 0-0	60.8	1480	1602	29.81%	27.56%	42.63%	-0.21	+0.6	5
2007-08-12	@ Lyngby	D 0-0	60.8	1602	1480	42.63%	27.56%	29.81%	+0.21	-0.6	9
2007-08-12	Midtjylland	D 1-1	71.6	1710	1736	43.00%	27.52%	29.48%	+0.22	-0.5	5
2007-08-12	@ Nordsjaelland	D 1-1	71.6	1736	1710	29.48%	27.52%	43.00%	-0.22	+0.5	10
2007-08-12	Odense	D 0-0	66.9	1690	1721	42.22%	27.59%	30.18%	+0.20	-0.5	13
2007-08-12	@ Randers	D 0-0	66.9	1721	1690	30.18%	27.59%	42.22%	-0.20	+0.5	9
2007-08-13	Brondby	D 1-1	68.7	1537	1664	29.11%	27.48%	43.42%	-0.23	+0.6	1
2007-08-13	@ Viborg	D 1-1	68.7	1664	1537	43.42%	27.48%	29.11%	+0.23	-0.6	5
2007-08-18	Aarhus GF	L 0-1	63.8	1663	1537	61.57%	22.85%	15.57%	+0.90	-11.1	5
2007-08-18	@ Brondby	W 1-0	63.8	1537	1663	15.57%	22.85%	61.57%	-0.90	+11.1	4
2007-08-19	Horsens	W 2-1	61.0	1537	1601	37.70%	27.84%	34.46%	+0.05	+6.7	4
2007-08-19	@ Viborg	L 1-2	61.0	1601	1537	34.46%	27.84%	37.70%	-0.05	-6.7	9
2007-08-19	Midtjylland	D 0-0	68.0	1790	1736	53.22%	25.67%	21.11%	+0.58	-1.5	11
2007-08-19	@ FC Copenhagen	D 0-0	68.0	1736	1790	21.11%	25.67%	53.22%	-0.58	+1.5	11
2007-08-19	Nordsjaelland	D 1-1	71.4	1689	1710	43.70%	27.45%	28.85%	+0.24	-0.6	14
2007-08-19	@ Randers	D 1-1	71.4	1710	1689	28.85%	27.45%	43.70%	-0.24	+0.6	6
2007-08-19	Odense	L 2-3	72.5	1687	1721	41.83%	27.63%	30.54%	+0.18	-7.3	5
2007-08-19	@ Aalborg	W 3-2	72.5	1721	1687	30.54%	27.63%	41.83%	-0.18	+7.3	12
2007-08-20	Esbjerg	L 1-6	49.2	1481	1661	23.22%	26.35%	50.43%	-0.47	-18.8	5
2007-08-20	@ Lyngby	W 6-1	49.2	1661	1481	50.43%	26.35%	23.22%	+0.47	+18.8	10
2007-08-25	FC Copenhagen	D 0-0	67.3	1729	1788	38.27%	27.83%	33.91%	+0.07	-0.2	13
2007-08-25	@ Odense	D 0-0	67.3	1788	1729	33.91%	27.83%	38.27%	-0.07	+0.2	12
2007-08-26	Aalborg	L 1-2	68.3	1680	1680	46.45%	27.09%	26.46%	+0.34	-8.3	10
2007-08-26	@ Esbjerg	W 2-1	68.3	1680	1680	26.46%	27.09%	46.45%	-0.34	+8.3	8
2007-08-26	Brondby	W 4-2	63.4	1594	1652	38.47%	27.82%	33.71%	+0.08	+10.2	12
2007-08-26	@ Horsens	L 2-4	63.4	1652	1594	33.71%	27.82%	38.47%	-0.08	-10.1	5
2007-08-26	Randers	W 3-2	66.0	1738	1688	52.72%	25.80%	21.48%	+0.56	+4.3	14
2007-08-26	@ Midtjylland	L 2-3	66.0	1688	1738	21.48%	25.80%	52.72%	-0.56	-4.3	14
2007-08-26	Viborg	W 4-0	43.6	1710	1544	65.68%	21.06%	13.26%	+1.08	+10.4	9
2007-08-26	@ Nordsjaelland	L 0-4	43.6	1544	1710	13.26%	21.06%	65.68%	-1.08	-10.4	4
2007-08-27	Lyngby	D 0-0	59.1	1548	1462	57.08%	24.51%	18.41%	+0.72	-1.8	5
2007-08-27	@ Aarhus GF	D 0-0	59.1	1462	1548	18.41%	24.51%	57.08%	-0.72	+1.8	6
2007-09-01	Aarhus GF	W 2-0	47.6	1534	1546	44.79%	27.32%	27.89%	+0.28	+11.3	7
2007-09-01	@ Viborg	L 0-2	47.6	1546	1534	27.89%	27.32%	44.79%	-0.28	-11.3	5
2007-09-02	Esbjerg	W 4-3	71.9	1604	1672	37.17%	27.85%	34.98%	+0.03	+6.2	15
2007-09-02	@ Horsens	L 3-4	71.9	1672	1604	34.98%	27.85%	37.17%	-0.03	-6.2	10
2007-09-02	Midtjylland	L 1-2	55.5	1464	1742	15.44%	22.76%	61.80%	-0.91	-3.3	6
2007-09-02	@ Lyngby	W 2-1	55.5	1742	1464	61.80%	22.76%	15.44%	+0.91	+3.3	17
2007-09-02	Odense	D 1-1	71.1	1642	1728	34.44%	27.84%	37.72%	-0.05	+0.1	6
2007-09-02	@ Brondby	D 1-1	71.1	1728	1642	37.72%	27.84%	34.44%	+0.05	-0.1	14
2007-09-02	Randers	W 1-0	53.8	1788	1684	59.13%	23.80%	17.08%	+0.80	+3.8	15
2007-09-02	@ FC Copenhagen	L 0-1	53.8	1684	1788	17.08%	23.80%	59.13%	-0.80	-3.8	14
2007-09-03	Nordsjaelland	W 2-1	64.0	1688	1721	42.08%	27.61%	30.31%	+0.19	+6.0	11
2007-09-03	@ Aalborg	L 1-2	64.0	1721	1688	30.31%	27.61%	42.08%	-0.19	-6.0	9
2007-09-15	Horsens	W 1-0	51.0	1792	1611	67.22%	20.33%	12.45%	+1.15	+2.7	18
2007-09-15	@ FC Copenhagen	L 0-1	51.0	1611	1792	12.45%	20.33%	67.22%	-1.15	-2.7	15
2007-09-16	Aarhus GF	L 0-1	64.5	1680	1535	63.58%	22.01%	14.41%	+0.99	-11.4	14
2007-09-16	@ Randers	W 1-0	64.5	1535	1680	14.41%	22.01%	63.58%	-0.99	+11.4	8
2007-09-16	Brondby	W 3-0	48.6	1694	1642	53.06%	25.71%	21.23%	+0.57	+13.0	14
2007-09-16	@ Aalborg	L 0-3	48.6	1642	1694	21.23%	25.71%	53.06%	-0.57	-13.0	6
2007-09-16	Lyngby	W 2-1	50.7	1545	1460	56.90%	24.57%	18.53%	+0.72	+3.9	10
2007-09-16	@ Viborg	L 1-2	50.7	1460	1545	18.53%	24.57%	56.90%	-0.72	-3.9	6
2007-09-16	Odense	W 2-1	62.4	1745	1728	48.66%	26.71%	24.63%	+0.41	+5.1	20
2007-09-16	@ Midtjylland	L 1-2	62.4	1728	1745	24.63%	26.71%	48.66%	-0.41	-5.1	14
2007-09-17	Esbjerg	W 3-1	56.8	1715	1665	52.71%	25.80%	21.49%	+0.56	+7.8	12
2007-09-17	@ Nordsjaelland	L 1-3	56.8	1665	1715	21.49%	25.80%	52.71%	-0.56	-7.8	10
2007-09-22	Nordsjaelland	L 1-2	60.2	1546	1722	23.65%	26.46%	49.88%	-0.45	-4.9	8
2007-09-22	@ Aarhus GF	W 2-1	60.2	1722	1546	49.88%	26.46%	23.65%	+0.45	+4.9	15
2007-09-23	Aalborg	L 3-4	63.1	1457	1707	17.29%	23.92%	58.79%	-0.79	-3.4	6
2007-09-23	@ Lyngby	W 4-3	63.1	1707	1457	58.79%	23.92%	17.29%	+0.79	+3.4	17
2007-09-23	FC Copenhagen	L 0-1	56.8	1629	1795	24.73%	26.73%	48.54%	-0.41	-5.4	6
2007-09-23	@ Brondby	W 1-0	56.8	1795	1629	48.54%	26.73%	24.73%	+0.41	+5.4	21
2007-09-23	Midtjylland	W 2-0	57.2	1658	1750	33.54%	27.81%	38.65%	-0.08	+14.5	13
2007-09-23	@ Esbjerg	L 0-2	57.2	1750	1658	38.65%	27.81%	33.54%	+0.08	-14.5	20
2007-09-23	Randers	W 1-0	58.5	1608	1669	38.05%	27.83%	34.12%	+0.06	+7.0	18
2007-09-23	@ Horsens	L 0-1	58.5	1669	1608	34.12%	27.83%	38.05%	-0.06	-7.0	14
2007-09-24	Viborg	W 4-0	43.6	1723	1549	66.51%	20.67%	12.82%	+1.12	+10.0	17
2007-09-24	@ Odense	L 0-4	43.6	1549	1723	12.82%	20.67%	66.51%	-1.12	-10.0	10
2007-09-29	Lyngby	W 2-0	41.2	1800	1453	81.14%	12.64%	6.22%	+1.89	+2.2	24
2007-09-29	@ FC Copenhagen	L 0-2	41.2	1453	1800	6.22%	12.64%	81.14%	-1.89	-2.2	6
2007-09-30	Aarhus GF	W 2-0	45.4	1736	1541	68.49%	19.71%	11.81%	+1.21	+4.8	23
2007-09-30	@ Midtjylland	L 0-2	45.4	1541	1736	11.81%	19.71%	68.49%	-1.21	-4.8	8
2007-09-30	Esbjerg	D 1-1	72.0	1733	1672	54.17%	25.41%	20.42%	+0.61	-1.4	18
2007-09-30	@ Odense	D 1-1	72.0	1672	1733	20.42%	25.41%	54.17%	-0.61	+1.4	14
2007-09-30	Randers	D 1-1	70.2	1624	1662	41.28%	27.67%	31.05%	+0.17	-0.4	7
2007-09-30	@ Brondby	D 1-1	70.2	1662	1624	31.05%	27.67%	41.28%	-0.17	+0.4	15
2007-09-30	Viborg	W 3-2	60.0	1711	1539	66.26%	20.79%	12.95%	+1.11	+2.5	20
2007-09-30	@ Aalborg	L 2-3	60.0	1539	1711	12.95%	20.79%	66.26%	-1.11	-2.6	10
2007-10-01	Horsens	D 0-0	67.6	1727	1615	60.04%	23.46%	16.51%	+0.84	-2.1	16
2007-10-01	@ Nordsjaelland	D 0-0	67.6	1615	1727	16.51%	23.46%	60.04%	-0.84	+2.1	19
2007-10-06	Brondby	L 1-2	61.6	1536	1623	34.33%	27.84%	37.83%	-0.06	-6.6	10
2007-10-06	@ Viborg	W 2-1	61.6	1623	1536	37.83%	27.84%	34.33%	+0.06	+6.6	10
2007-10-07	Lyngby	W 2-1	50.3	1617	1451	65.69%	21.06%	13.25%	+1.08	+2.8	22
2007-10-07	@ Horsens	L 1-2	50.3	1451	1617	13.25%	21.06%	65.69%	-1.08	-2.8	6
2007-10-07	Midtjylland	W 3-0	54.4	1662	1741	35.56%	27.86%	36.58%	-0.02	+20.2	18
2007-10-07	@ Randers	L 0-3	54.4	1741	1662	36.58%	27.86%	35.56%	+0.02	-20.2	23
2007-10-07	Nordsjaelland	D 1-1	72.7	1803	1725	56.07%	24.84%	19.09%	+0.68	-1.5	25
2007-10-07	@ FC Copenhagen	D 1-1	72.7	1725	1803	19.09%	24.84%	56.07%	-0.68	+1.5	17
2007-10-07	Odense	D 0-0	66.8	1673	1732	38.41%	27.82%	33.77%	+0.07	-0.2	15
2007-10-07	@ Esbjerg	D 0-0	66.8	1732	1673	33.77%	27.82%	38.41%	-0.07	+0.2	19
2007-10-08	Aalborg	L 3-5	61.7	1537	1713	23.59%	26.45%	49.96%	-0.46	-7.2	8
2007-10-08	@ Aarhus GF	W 5-3	61.7	1713	1537	49.96%	26.45%	23.59%	+0.46	+7.2	23
2007-10-20	FC Copenhagen	D 0-0	67.3	1720	1801	35.26%	27.85%	36.89%	-0.03	+0.1	24
2007-10-20	@ Aalborg	D 0-0	67.3	1801	1720	36.89%	27.85%	35.26%	+0.03	-0.1	26
2007-10-21	Aarhus GF	W 2-1	55.3	1630	1529	58.75%	23.93%	17.32%	+0.79	+3.7	13
2007-10-21	@ Brondby	L 1-2	55.3	1529	1630	17.32%	23.93%	58.75%	-0.79	-3.7	8
2007-10-21	Horsens	W 2-0	48.8	1732	1620	60.03%	23.46%	16.51%	+0.84	+7.0	22
2007-10-21	@ Odense	L 0-2	48.8	1620	1732	16.51%	23.46%	60.03%	-0.84	-7.0	22
2007-10-21	Randers	W 2-1	61.0	1727	1683	52.11%	25.95%	21.94%	+0.53	+4.6	20
2007-10-21	@ Nordsjaelland	L 1-2	61.0	1683	1727	21.94%	25.95%	52.11%	-0.53	-4.6	18
2007-10-21	Viborg	W 2-0	46.8	1448	1530	35.11%	27.85%	37.03%	-0.03	+14.0	9
2007-10-21	@ Lyngby	L 0-2	46.8	1530	1448	37.03%	27.85%	35.11%	+0.03	-14.0	10
2007-10-22	Esbjerg	D 2-2	77.5	1721	1673	52.48%	25.86%	21.66%	+0.55	-1.0	24
2007-10-22	@ Midtjylland	D 2-2	77.5	1673	1721	21.66%	25.86%	52.48%	-0.55	+1.0	16
2007-10-27	Aarhus GF	L 1-3	53.0	1462	1526	37.71%	27.84%	34.45%	+0.05	-12.3	9
2007-10-27	@ Lyngby	W 3-1	53.0	1526	1462	34.45%	27.84%	37.71%	-0.05	+12.3	11
2007-10-28	Brondby	D 0-0	67.8	1739	1634	59.26%	23.75%	16.99%	+0.81	-2.0	23
2007-10-28	@ Odense	D 0-0	67.8	1634	1739	16.99%	23.75%	59.26%	-0.81	+2.0	14
2007-10-28	Horsens	L 1-2	71.3	1731	1613	60.72%	23.19%	16.09%	+0.87	-10.4	20
2007-10-28	@ Nordsjaelland	W 2-1	71.3	1613	1731	16.09%	23.19%	60.72%	-0.87	+10.4	25
2007-10-28	Randers	L 0-1	66.8	1801	1678	61.20%	23.00%	15.80%	+0.89	-11.1	26
2007-10-28	@ FC Copenhagen	W 1-0	66.8	1678	1801	15.80%	23.00%	61.20%	-0.89	+11.1	21
2007-10-28	Viborg	W 2-1	53.8	1720	1516	69.37%	19.26%	11.37%	+1.25	+2.3	27
2007-10-28	@ Midtjylland	L 1-2	53.8	1516	1720	11.37%	19.26%	69.37%	-1.25	-2.3	10
2007-10-29	Esbjerg	W 2-0	51.4	1721	1674	52.37%	25.89%	21.74%	+0.54	+9.1	27
2007-10-29	@ Aalborg	L 0-2	51.4	1674	1721	21.74%	25.89%	52.37%	-0.54	-9.2	16
2007-11-03	FC Copenhagen	L 0-2	48.9	1538	1790	17.21%	23.87%	58.92%	-0.80	-7.3	11
2007-11-03	@ Aarhus GF	W 2-0	48.9	1790	1538	58.92%	23.87%	17.21%	+0.80	+7.3	29
2007-11-04	Aalborg	W 1-0	59.0	1689	1730	40.91%	27.70%	31.39%	+0.15	+6.6	24
2007-11-04	@ Randers	L 0-1	59.0	1730	1689	31.39%	27.70%	40.91%	-0.15	-6.6	27
2007-11-04	Lyngby	W 3-0	38.8	1636	1450	67.64%	20.12%	12.23%	+1.17	+7.3	17
2007-11-04	@ Brondby	L 0-3	38.8	1450	1636	12.23%	20.12%	67.64%	-1.17	-7.3	9
2007-11-04	Midtjylland	D 1-1	70.8	1623	1722	32.74%	27.78%	39.48%	-0.11	+0.3	26
2007-11-04	@ Horsens	D 1-1	70.8	1722	1623	39.48%	27.78%	32.74%	+0.11	-0.3	28
2007-11-04	Nordsjaelland	L 1-2	66.5	1665	1721	38.76%	27.81%	33.43%	+0.08	-7.2	16
2007-11-04	@ Esbjerg	W 2-1	66.5	1721	1665	33.43%	27.81%	38.76%	-0.08	+7.2	23
2007-11-05	Odense	L 0-2	48.8	1513	1737	19.35%	24.96%	55.69%	-0.67	-8.2	10
2007-11-05	@ Viborg	W 2-0	48.8	1737	1513	55.69%	24.96%	19.35%	+0.67	+8.2	26
2007-11-10	Horsens	W 3-0	48.9	1643	1623	49.01%	26.64%	24.35%	+0.42	+14.7	20
2007-11-10	@ Brondby	L 0-3	48.9	1623	1643	24.35%	26.64%	49.01%	-0.42	-14.7	26
2007-11-11	Aalborg	L 1-2	69.1	1728	1723	47.14%	26.98%	25.89%	+0.36	-8.4	23
2007-11-11	@ Nordsjaelland	W 2-1	69.1	1723	1728	25.89%	26.98%	47.14%	-0.36	+8.4	30
2007-11-11	Esbjerg	L 1-3	50.9	1443	1658	20.06%	25.26%	54.68%	-0.63	-7.4	9
2007-11-11	@ Lyngby	W 3-1	50.9	1658	1443	54.68%	25.26%	20.06%	+0.63	+7.4	19
2007-11-11	FC Copenhagen	D 2-2	77.5	1722	1797	35.97%	27.86%	36.17%	+0.00	+0.0	29
2007-11-11	@ Midtjylland	D 2-2	77.5	1797	1722	36.17%	27.86%	35.97%	+0.00	-0.0	30
2007-11-11	Randers	D 0-0	67.6	1745	1696	52.78%	25.79%	21.44%	+0.56	-1.5	27
2007-11-11	@ Odense	D 0-0	67.6	1696	1745	21.44%	25.79%	52.78%	-0.56	+1.5	25
2007-11-12	Aarhus GF	L 0-2	50.6	1505	1531	43.02%	27.52%	29.46%	+0.22	-15.7	10
2007-11-12	@ Viborg	W 2-0	50.6	1531	1505	29.46%	27.52%	43.02%	-0.22	+15.7	14
2007-11-24	Odense	W 2-1	61.2	1797	1744	53.22%	25.67%	21.11%	+0.58	+4.5	33
2007-11-24	@ FC Copenhagen	L 1-2	61.2	1744	1797	21.11%	25.67%	53.22%	-0.58	-4.4	27
2007-11-25	Brondby	W 3-2	66.7	1665	1658	47.42%	26.93%	25.65%	+0.37	+5.0	22
2007-11-25	@ Esbjerg	L 2-3	66.7	1658	1665	25.65%	26.93%	47.42%	-0.37	-5.0	20
2007-11-25	Lyngby	D 2-2	75.9	1697	1435	74.55%	16.49%	8.96%	+1.51	-2.1	26
2007-11-25	@ Randers	D 2-2	75.9	1435	1697	8.96%	16.49%	74.55%	-1.51	+2.1	10
2007-11-25	Midtjylland	W 1-0	57.1	1732	1722	47.75%	26.87%	25.37%	+0.38	+5.5	33
2007-11-25	@ Aalborg	L 0-1	57.1	1722	1732	25.37%	26.87%	47.75%	-0.38	-5.6	29
2007-11-25	Viborg	D 1-1	67.1	1609	1489	60.79%	23.17%	16.05%	+0.87	-1.9	27
2007-11-25	@ Horsens	D 1-1	67.1	1489	1609	16.05%	23.17%	60.79%	-0.87	+1.9	11
2007-11-29	Nordsjaelland	D 3-3	79.7	1546	1720	23.92%	26.53%	49.55%	-0.44	+0.7	15
2007-11-29	@ Aarhus GF	D 3-3	79.7	1720	1546	49.55%	26.53%	23.92%	+0.44	-0.6	24
2007-12-01	Viborg	L 0-2	60.7	1695	1491	69.34%	19.28%	11.39%	+1.25	-22.9	26
2007-12-01	@ Randers	W 2-0	60.7	1491	1695	11.39%	19.28%	69.34%	-1.25	+22.9	14
2007-12-02	Brondby	D 1-1	73.4	1802	1653	63.93%	21.85%	14.22%	+1.00	-2.1	34
2007-12-02	@ FC Copenhagen	D 1-1	73.4	1653	1802	14.22%	21.85%	63.93%	-1.00	+2.1	21
2007-12-02	Lyngby	W 5-3	51.8	1737	1437	77.64%	14.72%	7.64%	+1.68	+2.1	36
2007-12-02	@ Aalborg	L 3-5	51.8	1437	1737	7.64%	14.72%	77.64%	-1.68	-2.1	10
2007-12-02	Midtjylland	W 2-0	58.4	1547	1716	24.37%	26.65%	48.98%	-0.42	+17.4	18
2007-12-02	@ Aarhus GF	L 0-2	58.4	1716	1547	48.98%	26.65%	24.37%	+0.42	-17.4	29
2007-12-02	Odense	D 3-3	81.2	1719	1739	43.75%	27.44%	28.81%	+0.25	-0.4	25
2007-12-02	@ Nordsjaelland	D 3-3	81.2	1739	1719	28.81%	27.44%	43.75%	-0.25	+0.4	28
2007-12-03	Horsens	L 1-3	65.5	1670	1607	54.42%	25.34%	20.24%	+0.62	-16.4	22
2007-12-03	@ Esbjerg	W 3-1	65.5	1607	1670	20.24%	25.34%	54.42%	-0.62	+16.4	30
2008-03-15	Aalborg	D 1-1	71.9	1740	1739	46.53%	27.07%	26.40%	+0.34	-0.8	29
2008-03-15	@ Odense	D 1-1	71.9	1739	1740	26.40%	27.07%	46.53%	-0.34	+0.8	37
2008-03-16	Aarhus GF	D 0-0	64.5	1623	1564	53.88%	25.49%	20.63%	+0.60	-1.5	31
2008-03-16	@ Horsens	D 0-0	64.5	1564	1623	20.63%	25.49%	53.88%	-0.60	+1.5	19
2008-03-16	Esbjerg	L 0-4	47.9	1514	1654	27.63%	27.28%	45.09%	-0.29	-21.3	14
2008-03-16	@ Viborg	W 4-0	47.9	1654	1514	45.09%	27.28%	27.63%	+0.29	+21.3	25
2008-03-16	FC Copenhagen	L 1-4	47.0	1435	1799	10.89%	18.75%	70.37%	-1.30	-5.4	10
2008-03-16	@ Lyngby	W 4-1	47.0	1799	1435	70.37%	18.75%	10.89%	+1.30	+5.4	37
2008-03-16	Randers	W 3-1	58.9	1655	1672	44.16%	27.40%	28.44%	+0.26	+10.0	24
2008-03-16	@ Brondby	L 1-3	58.9	1672	1655	28.44%	27.40%	44.16%	-0.26	-10.0	26
2008-03-17	Nordsjaelland	W 1-0	58.2	1699	1719	43.74%	27.44%	28.81%	+0.25	+6.2	32
2008-03-17	@ Midtjylland	L 0-1	58.2	1719	1699	28.81%	27.44%	43.74%	-0.25	-6.2	25
2008-03-19	Aalborg	L 1-2	63.6	1622	1740	30.19%	27.59%	42.21%	-0.20	-6.0	31
2008-03-19	@ Horsens	W 2-1	63.6	1740	1622	42.21%	27.59%	30.19%	+0.20	+6.0	40
2008-03-19	FC Copenhagen	W 2-1	68.4	1675	1805	28.77%	27.44%	43.79%	-0.25	+8.0	28
2008-03-19	@ Esbjerg	L 1-2	68.4	1805	1675	43.79%	27.44%	28.77%	+0.25	-8.0	37
2008-03-20	Midtjylland	W 2-1	64.1	1665	1705	41.01%	27.69%	31.30%	+0.16	+6.2	27
2008-03-20	@ Brondby	L 1-2	64.1	1705	1665	31.30%	27.69%	41.01%	-0.16	-6.2	32
2008-03-20	Nordsjaelland	L 2-3	62.5	1493	1713	19.68%	25.10%	55.22%	-0.65	-4.0	14
2008-03-20	@ Viborg	W 3-2	62.5	1713	1493	55.22%	25.10%	19.68%	+0.65	+4.0	28
2008-03-20	Randers	D 0-0	64.7	1566	1662	33.10%	27.80%	39.10%	-0.10	+0.3	20
2008-03-20	@ Aarhus GF	D 0-0	64.7	1662	1566	39.10%	27.80%	33.10%	+0.10	-0.2	27
2008-03-22	Horsens	W 1-0	51.1	1797	1616	67.19%	20.35%	12.47%	+1.15	+2.7	40
2008-03-22	@ FC Copenhagen	L 0-1	51.1	1616	1797	12.47%	20.35%	67.19%	-1.15	-2.7	31
2008-03-23	Aarhus GF	W 2-0	46.4	1739	1566	66.35%	20.75%	12.90%	+1.11	+5.3	32
2008-03-23	@ Odense	L 0-2	46.4	1566	1739	12.90%	20.75%	66.35%	-1.11	-5.3	20
2008-03-23	Brondby	W 1-0	55.4	1717	1671	52.27%	25.91%	21.81%	+0.54	+4.9	31
2008-03-23	@ Nordsjaelland	L 0-1	55.4	1671	1717	21.81%	25.91%	52.27%	-0.54	-4.9	27
2008-03-23	Esbjerg	W 1-0	57.6	1662	1683	43.60%	27.46%	28.94%	+0.24	+6.2	30
2008-03-23	@ Randers	L 0-1	57.6	1683	1662	28.94%	27.46%	43.60%	-0.24	-6.2	28
2008-03-23	Lyngby	W 2-1	49.5	1699	1430	75.14%	16.16%	8.71%	+1.54	+1.7	35
2008-03-23	@ Midtjylland	L 1-2	49.5	1430	1699	8.71%	16.16%	75.14%	-1.54	-1.7	10
2008-03-23	Viborg	W 2-0	42.9	1746	1489	74.15%	16.71%	9.14%	+1.49	+3.5	43
2008-03-23	@ Aalborg	L 0-2	42.9	1489	1746	9.14%	16.71%	74.15%	-1.49	-3.5	14
2008-03-29	Midtjylland	L 0-1	64.8	1744	1700	52.07%	25.96%	21.97%	+0.53	-9.7	32
2008-03-29	@ Odense	W 1-0	64.8	1700	1744	21.97%	25.96%	52.07%	-0.53	+9.7	38
2008-03-30	Aalborg	L 0-1	60.1	1666	1750	34.85%	27.85%	37.30%	-0.04	-7.1	27
2008-03-30	@ Brondby	W 1-0	60.1	1750	1666	37.30%	27.85%	34.85%	+0.04	+7.1	46
2008-03-30	Esbjerg	L 0-1	56.7	1561	1677	30.49%	27.62%	41.88%	-0.18	-6.4	20
2008-03-30	@ Aarhus GF	W 1-0	56.7	1677	1561	41.88%	27.62%	30.49%	+0.18	+6.4	31
2008-03-30	Nordsjaelland	D 0-0	64.5	1428	1722	14.52%	22.09%	63.38%	-0.98	+2.3	11
2008-03-30	@ Lyngby	D 0-0	64.5	1722	1428	63.38%	22.09%	14.52%	+0.98	-2.3	32
2008-03-30	Randers	W 1-0	58.3	1613	1668	38.90%	27.80%	33.29%	+0.09	+6.9	34
2008-03-30	@ Horsens	L 0-1	58.3	1668	1613	33.29%	27.80%	38.90%	-0.09	-6.9	30
2008-03-31	FC Copenhagen	L 2-3	60.8	1485	1800	13.34%	21.13%	65.52%	-1.07	-2.6	14
2008-03-31	@ Viborg	W 3-2	60.8	1800	1485	65.52%	21.13%	13.34%	+1.07	+2.6	43
2008-04-02	Odense	L 0-3	42.2	1431	1735	13.90%	21.60%	64.49%	-1.03	-8.4	11
2008-04-02	@ Lyngby	W 3-0	42.2	1735	1431	64.49%	21.60%	13.90%	+1.03	+8.4	35
2008-04-05	Brondby	L 1-3	62.2	1620	1659	41.12%	27.68%	31.20%	+0.16	-13.1	34
2008-04-05	@ Horsens	W 3-1	62.2	1659	1620	31.20%	27.68%	41.12%	-0.16	+13.1	30
2008-04-06	Lyngby	W 2-1	48.9	1683	1422	74.50%	16.52%	8.99%	+1.51	+1.7	34
2008-04-06	@ Esbjerg	L 1-2	48.9	1422	1683	8.99%	16.52%	74.50%	-1.51	-1.7	11
2008-04-06	Midtjylland	L 0-2	62.3	1802	1710	57.78%	24.27%	17.94%	+0.75	-19.9	43
2008-04-06	@ FC Copenhagen	W 2-0	62.3	1710	1802	17.94%	24.27%	57.78%	-0.75	+19.9	41
2008-04-06	Nordsjaelland	W 3-1	57.8	1757	1719	51.27%	26.16%	22.57%	+0.50	+8.2	49
2008-04-06	@ Aalborg	L 1-3	57.8	1719	1757	22.57%	26.16%	51.27%	-0.50	-8.2	32
2008-04-06	Odense	L 0-2	56.1	1661	1743	35.06%	27.85%	37.09%	-0.03	-13.5	30
2008-04-06	@ Randers	W 2-0	56.1	1743	1661	37.09%	27.85%	35.06%	+0.03	+13.5	38
2008-04-07	Viborg	D 0-0	59.9	1554	1483	55.40%	25.05%	19.55%	+0.66	-1.7	21
2008-04-07	@ Aarhus GF	D 0-0	59.9	1483	1554	19.55%	25.05%	55.40%	-0.66	+1.7	15
2008-04-12	Esbjerg	W 2-1	62.8	1672	1685	44.74%	27.32%	27.93%	+0.28	+5.7	33
2008-04-12	@ Brondby	L 1-2	62.8	1685	1672	27.93%	27.32%	44.74%	-0.28	-5.7	34
2008-04-13	Aalborg	W 2-0	55.1	1730	1765	41.71%	27.64%	30.65%	+0.18	+12.2	44
2008-04-13	@ Midtjylland	L 0-2	55.1	1765	1730	30.65%	27.64%	41.71%	-0.18	-12.2	49
2008-04-13	Aarhus GF	W 3-2	60.7	1711	1553	64.89%	21.42%	13.69%	+1.05	+2.7	35
2008-04-13	@ Nordsjaelland	L 2-3	60.7	1553	1711	13.69%	21.42%	64.89%	-1.05	-2.7	21
2008-04-13	FC Copenhagen	D 0-0	67.5	1756	1782	42.97%	27.52%	29.50%	+0.22	-0.6	39
2008-04-13	@ Odense	D 0-0	67.5	1782	1756	29.50%	27.52%	42.97%	-0.22	+0.6	44
2008-04-13	Randers	D 0-0	61.1	1420	1648	19.08%	24.83%	56.09%	-0.68	+1.7	12
2008-04-13	@ Lyngby	D 0-0	61.1	1648	1420	56.09%	24.83%	19.08%	+0.68	-1.7	31
2008-04-14	Horsens	L 1-3	54.2	1485	1607	29.71%	27.55%	42.74%	-0.21	-10.3	15
2008-04-14	@ Viborg	W 3-1	54.2	1607	1485	42.74%	27.55%	29.71%	+0.21	+10.3	37
2008-04-19	FC Copenhagen	W 2-1	68.4	1646	1783	27.91%	27.32%	44.77%	-0.28	+8.1	34
2008-04-19	@ Randers	L 1-2	68.4	1783	1646	44.77%	27.32%	27.91%	+0.28	-8.1	44
2008-04-20	Lyngby	W 3-1	44.2	1550	1422	61.72%	22.79%	15.49%	+0.91	+5.7	24
2008-04-20	@ Aarhus GF	L 1-3	44.2	1422	1550	15.49%	22.79%	61.72%	-0.91	-5.7	12
2008-04-20	Midtjylland	D 1-1	70.3	1474	1742	16.11%	23.21%	60.68%	-0.87	+1.9	16
2008-04-20	@ Viborg	D 1-1	70.3	1742	1474	60.68%	23.21%	16.11%	+0.87	-1.9	45
2008-04-20	Nordsjaelland	W 2-0	56.7	1617	1714	33.02%	27.79%	39.19%	-0.10	+14.6	40
2008-04-20	@ Horsens	L 0-2	56.7	1714	1617	39.19%	27.79%	33.02%	+0.10	-14.6	35
2008-04-20	Odense	L 0-2	56.4	1678	1756	35.61%	27.86%	36.53%	-0.01	-13.6	33
2008-04-20	@ Brondby	W 2-0	56.4	1756	1678	36.53%	27.86%	35.61%	+0.01	+13.6	42
2008-04-21	Aalborg	D 1-1	71.5	1679	1753	36.28%	27.86%	35.86%	+0.01	-0.0	35
2008-04-21	@ Esbjerg	D 1-1	71.5	1753	1679	35.86%	27.86%	36.28%	-0.01	+0.0	50
2008-04-23	Brondby	D 2-2	71.9	1416	1664	17.51%	24.04%	58.44%	-0.78	+1.3	13
2008-04-23	@ Lyngby	D 2-2	71.9	1664	1416	58.44%	24.04%	17.51%	+0.78	-1.3	34
2008-04-23	Horsens	D 1-1	72.3	1740	1632	59.62%	23.61%	16.77%	+0.82	-1.8	46
2008-04-23	@ Midtjylland	D 1-1	72.3	1632	1740	16.77%	23.61%	59.62%	-0.82	+1.8	41
2008-04-23	Viborg	W 1-0	46.2	1770	1476	77.15%	15.01%	7.85%	+1.65	+1.6	45
2008-04-23	@ Odense	L 0-1	46.2	1476	1770	7.85%	15.01%	77.15%	-1.65	-1.6	16
2008-04-24	Aarhus GF	D 1-1	73.5	1775	1556	70.79%	18.53%	10.69%	+1.32	-2.6	45
2008-04-24	@ FC Copenhagen	D 1-1	73.5	1556	1775	10.69%	18.53%	70.79%	-1.32	+2.6	25
2008-04-24	Esbjerg	W 3-2	66.7	1699	1679	49.03%	26.64%	24.34%	+0.42	+4.8	38
2008-04-24	@ Nordsjaelland	L 2-3	66.7	1679	1699	24.34%	26.64%	49.03%	-0.42	-4.8	35
2008-04-24	Randers	W 3-0	47.5	1753	1654	58.52%	24.01%	17.46%	+0.78	+10.8	53
2008-04-24	@ Aalborg	L 0-3	47.5	1654	1753	17.46%	24.01%	58.52%	-0.78	-10.8	34
2008-04-26	Brondby	D 1-1	72.2	1738	1663	55.85%	24.91%	19.24%	+0.67	-1.5	47
2008-04-26	@ Midtjylland	D 1-1	72.2	1663	1738	19.24%	24.91%	55.85%	-0.67	+1.5	35
2008-04-27	Aarhus GF	W 4-1	50.3	1643	1558	56.94%	24.56%	18.50%	+0.72	+9.6	37
2008-04-27	@ Randers	L 1-4	50.3	1558	1643	18.50%	24.56%	56.94%	-0.72	-9.6	25
2008-04-27	Esbjerg	W 2-1	59.3	1772	1675	58.40%	24.06%	17.54%	+0.77	+3.7	48
2008-04-27	@ FC Copenhagen	L 1-2	59.3	1675	1772	17.54%	24.06%	58.40%	-0.77	-3.7	35
2008-04-27	Lyngby	D 1-1	73.0	1771	1418	81.57%	12.39%	6.05%	+1.92	-3.2	46
2008-04-27	@ Odense	D 1-1	73.0	1418	1771	6.05%	12.39%	81.57%	-1.92	+3.2	14
2008-04-27	Viborg	W 5-3	53.7	1704	1475	71.71%	18.04%	10.25%	+1.37	+3.0	41
2008-04-27	@ Nordsjaelland	L 3-5	53.7	1475	1704	10.25%	18.04%	71.71%	-1.37	-3.0	16
2008-04-28	Horsens	W 1-0	52.6	1763	1633	61.95%	22.70%	15.35%	+0.92	+3.4	56
2008-04-28	@ Aalborg	L 0-1	52.6	1633	1763	15.35%	22.70%	61.95%	-0.92	-3.4	41
2008-05-03	Odense	L 0-2	49.9	1549	1768	19.72%	25.12%	55.16%	-0.65	-8.4	25
2008-05-03	@ Aarhus GF	W 2-0	49.9	1768	1549	55.16%	25.12%	19.72%	+0.65	+8.3	49
2008-05-04	Aalborg	L 0-1	50.2	1472	1767	14.40%	22.00%	63.60%	-0.99	-3.2	16
2008-05-04	@ Viborg	W 1-0	50.2	1767	1472	63.60%	22.00%	14.40%	+0.99	+3.2	59
2008-05-04	Midtjylland	L 1-2	53.1	1421	1737	13.25%	21.05%	65.70%	-1.08	-2.8	14
2008-05-04	@ Lyngby	W 2-1	53.1	1737	1421	65.70%	21.05%	13.25%	+1.08	+2.8	50
2008-05-04	Nordsjaelland	W 3-0	52.6	1664	1707	40.68%	27.71%	31.61%	+0.15	+18.1	38
2008-05-04	@ Brondby	L 0-3	52.6	1707	1664	31.61%	27.71%	40.68%	-0.15	-18.1	41
2008-05-04	Randers	W 3-2	66.3	1671	1653	48.80%	26.68%	24.52%	+0.42	+4.8	38
2008-05-04	@ Esbjerg	L 2-3	66.3	1653	1671	24.52%	26.68%	48.80%	-0.42	-4.8	37
2008-05-05	FC Copenhagen	W 3-2	73.6	1630	1776	26.88%	27.16%	45.96%	-0.32	+7.8	44
2008-05-05	@ Horsens	L 2-3	73.6	1776	1630	45.96%	27.16%	26.88%	+0.32	-7.8	48
2008-05-07	Esbjerg	D 1-1	72.7	1776	1676	58.74%	23.94%	17.33%	+0.79	-1.8	50
2008-05-07	@ Odense	D 1-1	72.7	1676	1776	17.33%	23.94%	58.74%	-0.79	+1.8	39
2008-05-07	Randers	W 2-1	59.2	1740	1648	57.72%	24.30%	17.99%	+0.75	+3.8	53
2008-05-07	@ Midtjylland	L 1-2	59.2	1648	1740	17.99%	24.30%	57.72%	-0.75	-3.8	37
2008-05-07	Viborg	D 1-1	70.1	1683	1468	70.34%	18.76%	10.90%	+1.30	-2.6	39
2008-05-07	@ Brondby	D 1-1	70.1	1468	1683	10.90%	18.76%	70.34%	-1.30	+2.6	17
2008-05-08	Aarhus GF	W 3-1	50.5	1770	1540	71.76%	18.01%	10.23%	+1.37	+3.5	62
2008-05-08	@ Aalborg	L 1-3	50.5	1540	1770	10.23%	18.01%	71.76%	-1.37	-3.5	25
2008-05-08	FC Copenhagen	L 1-2	65.9	1689	1768	35.42%	27.86%	36.72%	-0.02	-6.8	41
2008-05-08	@ Nordsjaelland	W 2-1	65.9	1768	1689	36.72%	27.86%	35.42%	+0.02	+6.8	51
2008-05-08	Horsens	W 4-1	57.2	1418	1638	19.69%	25.10%	55.21%	-0.65	+23.5	17
2008-05-08	@ Lyngby	L 1-4	57.2	1638	1418	55.21%	25.10%	19.69%	+0.65	-23.5	44
2008-05-11	Brondby	D 1-1	69.1	1537	1680	27.20%	27.21%	45.59%	-0.31	+0.7	26
2008-05-11	@ Aarhus GF	D 1-1	69.1	1680	1537	45.59%	27.21%	27.20%	+0.31	-0.7	40
2008-05-11	Odense	D 2-2	77.1	1614	1775	25.31%	26.86%	47.83%	-0.38	+0.7	45
2008-05-11	@ Horsens	D 2-2	77.1	1775	1614	47.83%	26.86%	25.31%	+0.38	-0.7	51
2008-05-12	Aalborg	W 4-0	51.6	1775	1774	46.62%	27.06%	26.32%	+0.34	+20.5	54
2008-05-12	@ FC Copenhagen	L 0-4	51.6	1774	1775	26.32%	27.06%	46.62%	-0.34	-20.5	62
2008-05-12	Lyngby	W 3-2	54.3	1471	1442	50.23%	26.39%	23.38%	+0.47	+4.6	20
2008-05-12	@ Viborg	L 2-3	54.3	1442	1471	23.38%	26.39%	50.23%	-0.47	-4.6	17
2008-05-12	Midtjylland	W 3-2	70.5	1677	1743	37.33%	27.85%	34.82%	+0.04	+6.4	42
2008-05-12	@ Esbjerg	L 2-3	70.5	1743	1677	34.82%	27.85%	37.33%	-0.04	-6.4	53
2008-05-12	Nordsjaelland	W 2-1	63.5	1644	1682	41.33%	27.67%	31.01%	+0.17	+6.1	40
2008-05-12	@ Randers	L 1-2	63.5	1682	1644	31.01%	27.67%	41.33%	-0.17	-6.2	41
2008-05-15	Aarhus GF	L 0-1	64.6	1684	1538	63.65%	21.98%	14.37%	+0.99	-11.4	42
2008-05-15	@ Esbjerg	W 1-0	64.6	1538	1684	14.37%	21.98%	63.65%	-0.99	+11.4	29
2008-05-15	Brondby	W 2-0	50.7	1753	1679	55.66%	24.97%	19.37%	+0.67	+8.2	65
2008-05-15	@ Aalborg	L 0-2	50.7	1679	1753	19.37%	24.97%	55.66%	-0.67	-8.2	40
2008-05-15	Horsens	D 0-0	65.8	1650	1615	50.99%	26.22%	22.79%	+0.49	-1.3	41
2008-05-15	@ Randers	D 0-0	65.8	1615	1650	22.79%	26.22%	50.99%	-0.49	+1.3	46
2008-05-15	Lyngby	D 0-0	64.8	1676	1437	72.55%	17.59%	9.86%	+1.41	-3.0	42
2008-05-15	@ Nordsjaelland	D 0-0	64.8	1437	1676	9.86%	17.59%	72.55%	-1.41	+3.0	18
2008-05-15	Odense	W 3-1	60.9	1737	1774	41.46%	27.66%	30.88%	+0.17	+10.6	56
2008-05-15	@ Midtjylland	L 1-3	60.9	1774	1737	30.88%	27.66%	41.46%	-0.17	-10.6	51
2008-05-15	Viborg	W 3-0	39.9	1795	1476	79.17%	13.82%	7.01%	+1.77	+3.7	57
2008-05-15	@ FC Copenhagen	L 0-3	39.9	1476	1795	7.01%	13.82%	79.17%	-1.77	-3.7	20
2008-05-18	Aalborg	L 0-2	44.6	1440	1761	12.96%	20.80%	66.24%	-1.11	-5.4	18
2008-05-18	@ Lyngby	W 2-0	44.6	1761	1440	66.24%	20.80%	12.96%	+1.11	+5.4	68
2008-05-18	Aarhus GF	W 3-2	59.9	1748	1549	68.88%	19.51%	11.61%	+1.23	+2.2	59
2008-05-18	@ Midtjylland	L 2-3	59.9	1549	1748	11.61%	19.51%	68.88%	-1.23	-2.2	29
2008-05-18	Esbjerg	W 3-1	60.1	1616	1672	38.76%	27.81%	33.43%	+0.08	+11.3	49
2008-05-18	@ Horsens	L 1-3	60.1	1672	1616	33.43%	27.81%	38.76%	-0.08	-11.3	42
2008-05-18	FC Copenhagen	W 2-1	68.3	1671	1799	28.99%	27.46%	43.55%	-0.24	+7.9	43
2008-05-18	@ Brondby	L 1-2	68.3	1799	1671	43.55%	27.46%	28.99%	+0.24	-7.9	57
2008-05-18	Nordsjaelland	D 1-1	72.5	1763	1673	57.59%	24.34%	18.07%	+0.74	-1.7	52
2008-05-18	@ Odense	D 1-1	72.5	1673	1763	18.07%	24.34%	57.59%	-0.74	+1.7	43
2008-05-18	Randers	L 0-1	51.4	1472	1649	23.55%	26.44%	50.02%	-0.46	-5.2	20
2008-05-18	@ Viborg	W 1-0	51.4	1649	1472	50.02%	26.44%	23.55%	+0.46	+5.2	44
2008-05-24	Brondby	W 2-1	63.1	1654	1679	43.12%	27.51%	29.37%	+0.22	+5.9	47
2008-05-24	@ Randers	L 1-2	63.1	1679	1654	29.37%	27.51%	43.12%	-0.22	-5.9	43
2008-05-24	Horsens	L 1-2	62.2	1547	1628	35.21%	27.85%	36.94%	-0.03	-6.8	29
2008-05-24	@ Aarhus GF	W 2-1	62.2	1628	1547	36.94%	27.85%	35.21%	+0.03	+6.8	52
2008-05-24	Lyngby	W 3-1	46.1	1791	1435	81.78%	12.26%	5.97%	+1.94	+1.8	60
2008-05-24	@ FC Copenhagen	L 1-3	46.1	1435	1791	5.97%	12.26%	81.78%	-1.94	-1.8	18
2008-05-24	Midtjylland	L 0-3	54.3	1674	1750	35.97%	27.86%	36.17%	+0.00	-20.0	43
2008-05-24	@ Nordsjaelland	W 3-0	54.3	1750	1674	36.17%	27.86%	35.97%	+0.00	+20.0	62
2008-05-24	Odense	W 2-0	53.6	1767	1762	47.13%	26.98%	25.89%	+0.36	+10.6	71
2008-05-24	@ Aalborg	L 0-2	53.6	1762	1767	25.89%	26.98%	47.13%	-0.36	-10.6	52
2008-05-24	Viborg	W 2-1	51.5	1661	1467	68.47%	19.71%	11.81%	+1.21	+2.4	45
2008-05-24	@ Esbjerg	L 1-2	51.5	1467	1661	11.81%	19.71%	68.47%	-1.21	-2.4	20

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	2007-07-29	8.86%	Lyngby	1475	1	@ Nordsjaelland	1740	0
2	2007-12-01	11.39%	Viborg	1491	2	@ Randers	1695	0
3	2008-05-15	14.37%	Aarhus GF	1538	1	@ Esbjerg	1684	0
4	2007-09-16	14.41%	Aarhus GF	1535	1	@ Randers	1680	0
5	2007-08-18	15.57%	Aarhus GF	1537	1	@ Brondby	1663	0
6	2007-10-28	15.80%	Randers	1678	1	@ FC Copenhagen	1801	0
7	2007-10-28	16.09%	Horsens	1613	2	@ Nordsjaelland	1731	1
8	2008-04-06	17.94%	Midtjylland	1710	2	@ FC Copenhagen	1802	0
9	2008-05-08	19.69%	@ Lyngby	1418	4	Horsens	1638	1
10	2007-12-03	20.24%	Horsens	1607	3	@ Esbjerg	1670	1
11	2008-03-29	21.97%	Midtjylland	1700	1	@ Odense	1744	0
12	2007-12-02	24.37%	@ Aarhus GF	1547	2	Midtjylland	1716	0
13	2007-08-05	25.54%	Randers	1675	3	@ Esbjerg	1683	1
14	2007-11-11	25.89%	Aalborg	1723	2	@ Nordsjaelland	1728	1
15	2007-08-26	26.46%	Aalborg	1680	2	@ Esbjerg	1680	1
16	2008-05-05	26.88%	@ Horsens	1630	3	FC Copenhagen	1776	2
17	2008-04-19	27.91%	@ Randers	1646	2	FC Copenhagen	1783	1
18	2007-07-18	28.73%	Horsens	1585	2	@ Aarhus GF	1565	1
19	2008-03-19	28.77%	@ Esbjerg	1675	2	FC Copenhagen	1805	1
20	2008-05-18	28.99%	@ Brondby	1671	2	FC Copenhagen	1799	1
21	2007-11-12	29.46%	Aarhus GF	1531	2	@ Viborg	1505	0
22	2007-07-23	29.89%	@ Horsens	1592	2	Midtjylland	1713	1
23	2007-08-19	30.54%	Odense	1721	3	@ Aalborg	1687	2
24	2008-04-05	31.20%	Brondby	1659	3	@ Horsens	1620	1
25	2008-04-20	33.02%	@ Horsens	1617	2	Nordsjaelland	1714	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	2007-08-01	32.24	@ Randers	5	1643	36.00%	Aalborg	0	1718	36.14%	27.86%
2	2007-07-22	31.90	Esbjerg	5	1653	36.52%	@ Viborg	0	1575	35.62%	27.86%
3	2008-05-08	23.50	@ Lyngby	4	1418	19.69%	Horsens	1	1638	55.21%	25.10%
4	2007-07-29	23.08	@ Midtjylland	5	1705	49.86%	Brondby	0	1679	23.67%	26.47%
5	2007-12-01	22.92	Viborg	2	1491	11.39%	@ Randers	0	1695	69.34%	19.28%
6	2008-03-16	21.32	Esbjerg	4	1654	45.09%	@ Viborg	0	1514	27.63%	27.28%
7	2008-05-12	20.48	@ FC Copenhagen	4	1775	46.62%	Aalborg	0	1774	26.32%	27.06%
8	2007-10-07	20.20	@ Randers	3	1662	35.56%	Midtjylland	0	1741	36.58%	27.86%
9	2008-05-24	19.95	Midtjylland	3	1750	36.17%	@ Nordsjaelland	0	1674	35.97%	27.86%
10	2008-04-06	19.92	Midtjylland	2	1710	17.94%	@ FC Copenhagen	0	1802	57.78%	24.27%
11	2007-08-20	18.79	Esbjerg	6	1661	50.43%	@ Lyngby	1	1481	23.22%	26.35%
12	2008-05-04	18.13	@ Brondby	3	1664	40.68%	Nordsjaelland	0	1707	31.61%	27.71%
13	2007-12-02	17.41	@ Aarhus GF	2	1547	24.37%	Midtjylland	0	1716	48.98%	26.65%
14	2007-08-06	17.05	@ Odense	3	1704	43.31%	Nordsjaelland	0	1727	29.20%	27.49%
15	2007-07-22	16.45	Randers	3	1626	44.78%	@ Lyngby	0	1489	27.90%	27.32%
16	2007-12-03	16.43	Horsens	3	1607	20.24%	@ Esbjerg	1	1670	54.42%	25.34%
17	2007-11-12	15.71	Aarhus GF	2	1531	29.46%	@ Viborg	0	1505	43.02%	27.52%
18	2007-08-05	14.72	Randers	3	1675	25.54%	@ Esbjerg	1	1683	47.56%	26.91%
19	2007-11-10	14.69	@ Brondby	3	1643	49.01%	Horsens	0	1623	24.35%	26.64%
20	2008-04-20	14.63	@ Horsens	2	1617	33.02%	Nordsjaelland	0	1714	39.19%	27.79%
21	2007-09-23	14.48	@ Esbjerg	2	1658	33.54%	Midtjylland	0	1750	38.65%	27.81%
22	2007-10-21	14.03	@ Lyngby	2	1448	35.11%	Viborg	0	1530	37.03%	27.85%
23	2008-04-20	13.64	Odense	2	1756	36.53%	@ Brondby	0	1678	35.61%	27.86%
24	2008-04-06	13.48	Odense	2	1743	37.09%	@ Randers	0	1661	35.06%	27.85%
25	2008-04-05	13.14	Brondby	3	1659	31.20%	@ Horsens	1	1620	41.12%	27.68%

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	2007-12-02	81.2	@ Nordsjaelland	3	1719	43.75%	Odense	3	1739	28.81%	27.44%
2	2007-07-29	81.1	@ Odense	3	1705	59.18%	Horsens	3	1600	17.04%	23.78%
3	2007-11-29	79.7	@ Aarhus GF	3	1546	23.92%	Nordsjaelland	3	1720	49.55%	26.53%
4	2007-10-22	77.5	@ Midtjylland	2	1721	52.48%	Esbjerg	2	1673	21.66%	25.86%
5	2007-11-11	77.5	@ Midtjylland	2	1722	35.97%	FC Copenhagen	2	1797	36.17%	27.86%
6	2008-05-11	77.1	@ Horsens	2	1614	25.31%	Odense	2	1775	47.83%	26.86%
7	2007-07-21	77.0	@ Brondby	2	1679	38.11%	Nordsjaelland	2	1740	34.06%	27.83%
8	2007-07-30	76.5	@ Esbjerg	2	1685	62.90%	Aarhus GF	2	1546	14.80%	22.30%
9	2007-11-25	75.9	@ Randers	2	1697	74.55%	Lyngby	2	1435	8.96%	16.49%
10	2008-05-05	73.6	@ Horsens	3	1630	26.88%	FC Copenhagen	2	1776	45.96%	27.16%
11	2008-04-24	73.5	@ FC Copenhagen	1	1775	70.79%	Aarhus GF	1	1556	10.69%	18.53%
12	2007-12-02	73.4	@ FC Copenhagen	1	1802	63.93%	Brondby	1	1653	14.22%	21.85%
13	2008-04-27	73.0	@ Odense	1	1771	81.57%	Lyngby	1	1418	6.05%	12.39%
14	2007-10-07	72.7	@ FC Copenhagen	1	1803	56.07%	Nordsjaelland	1	1725	19.09%	24.84%
15	2008-05-07	72.7	@ Odense	1	1776	58.74%	Esbjerg	1	1676	17.33%	23.94%
16	2007-08-19	72.5	Odense	3	1721	30.54%	@ Aalborg	2	1687	41.83%	27.63%
17	2008-05-18	72.5	@ Odense	1	1763	57.59%	Nordsjaelland	1	1673	18.07%	24.34%
18	2008-04-23	72.3	@ Midtjylland	1	1740	59.62%	Horsens	1	1632	16.77%	23.61%
19	2008-04-26	72.2	@ Midtjylland	1	1738	55.85%	Brondby	1	1663	19.24%	24.91%
20	2007-09-30	72.0	@ Odense	1	1733	54.17%	Esbjerg	1	1672	20.42%	25.41%
21	2007-09-02	71.9	@ Horsens	4	1604	37.17%	Esbjerg	3	1672	34.98%	27.85%
22	2008-03-15	71.9	@ Odense	1	1740	46.53%	Aalborg	1	1739	26.40%	27.07%
23	2008-04-23	71.9	@ Lyngby	2	1416	17.51%	Brondby	2	1664	58.44%	24.04%
24	2007-07-25	71.7	@ Aalborg	1	1718	38.73%	FC Copenhagen	1	1774	33.46%	27.81%
25	2007-08-12	71.6	@ Nordsjaelland	1	1710	43.00%	Midtjylland	1	1736	29.48%	27.52%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2007-11-04	38.8	@ Brondby	3	1636	67.64%	Lyngby	0	1450	12.23%	20.12%
2	2008-05-15	39.9	@ FC Copenhagen	3	1795	79.17%	Viborg	0	1476	7.01%	13.82%
3	2007-08-05	41.2	@ Brondby	3	1656	65.88%	Lyngby	0	1488	13.15%	20.97%
4	2007-09-29	41.2	@ FC Copenhagen	2	1800	81.14%	Lyngby	0	1453	6.22%	12.64%
5	2008-04-02	42.2	Odense	3	1735	64.49%	@ Lyngby	0	1431	13.90%	21.60%
6	2008-03-23	42.9	@ Aalborg	2	1746	74.15%	Viborg	0	1489	9.14%	16.71%
7	2007-08-26	43.6	@ Nordsjaelland	4	1710	65.68%	Viborg	0	1544	13.26%	21.06%
8	2007-09-24	43.6	@ Odense	4	1723	66.51%	Viborg	0	1549	12.82%	20.67%
9	2008-04-20	44.2	@ Aarhus GF	3	1550	61.72%	Lyngby	1	1422	15.49%	22.79%
10	2008-05-18	44.6	Aalborg	2	1761	66.24%	@ Lyngby	0	1440	12.96%	20.80%
11	2007-09-30	45.4	@ Midtjylland	2	1736	68.49%	Aarhus GF	0	1541	11.81%	19.71%
12	2007-08-12	46.1	@ Aalborg	2	1681	62.78%	Aarhus GF	0	1543	14.87%	22.35%
13	2008-05-24	46.1	@ FC Copenhagen	3	1791	81.78%	Lyngby	1	1435	5.97%	12.26%
14	2008-04-23	46.2	@ Odense	1	1770	77.15%	Viborg	0	1476	7.85%	15.01%
15	2008-03-23	46.4	@ Odense	2	1739	66.35%	Aarhus GF	0	1566	12.90%	20.75%
16	2007-07-22	46.6	Randers	3	1626	44.78%	@ Lyngby	0	1489	27.90%	27.32%
17	2007-10-21	46.8	@ Lyngby	2	1448	35.11%	Viborg	0	1530	37.03%	27.85%
18	2008-03-16	47.0	FC Copenhagen	4	1799	70.37%	@ Lyngby	1	1435	10.89%	18.75%
19	2008-04-24	47.5	@ Aalborg	3	1753	58.52%	Randers	0	1654	17.46%	24.01%
20	2007-09-01	47.6	@ Viborg	2	1534	44.79%	Aarhus GF	0	1546	27.89%	27.32%
21	2008-03-16	47.9	Esbjerg	4	1654	45.09%	@ Viborg	0	1514	27.63%	27.28%
22	2007-09-16	48.6	@ Aalborg	3	1694	53.06%	Brondby	0	1642	21.23%	25.71%
23	2007-10-21	48.8	@ Odense	2	1732	60.03%	Horsens	0	1620	16.51%	23.46%
24	2007-11-05	48.8	Odense	2	1737	55.69%	@ Viborg	0	1513	19.35%	24.96%
25	2007-11-03	48.9	FC Copenhagen	2	1790	58.92%	@ Aarhus GF	0	1538	17.21%	23.87%