2011-12 Superliga Season

198 games

Final

Champion

Nordsjaelland

68 points · 1st Title

Relegated

HB Koge

19 pts

Lyngby · 28 pts

Biggest Overachiever

Nordsjaelland

16.17 points above expected

68 points · 51.83 expected points

Biggest Disappointment

Odense

13.01 points below expected

34 points · 47.01 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	Nordsjaelland Champion	33	21	5	7	68	49	22	+27	51.83	+16.17
2	FC Copenhagen	33	19	9	5	66	55	26	+29	63.27	+2.73
3	Midtjylland	33	17	7	9	58	50	40	+10	49.42	+8.58
4	Horsens	33	17	6	10	57	53	39	+14	48.95	+8.05
5	Aarhus GF	33	12	12	9	48	47	40	+7	47.97	+0.03
6	Sonderjyske	33	11	11	11	44	48	51	-3	39.62	+4.38
7	Aalborg	33	12	8	13	44	42	48	-6	46.24	-2.24
8	Silkeborg	33	11	10	12	43	51	47	+4	44.76	-1.76
9	Brondby	33	9	9	15	36	35	46	-11	44.65	-8.65
10	Odense	33	8	10	15	34	46	50	-4	47.01	-13.01
11	Lyngby Relegated	33	8	4	21	28	32	60	-28	32.40	-4.40
12	HB Koge Relegated	33	4	7	22	19	32	71	-39	28.35	-9.35

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	Nordsjaelland	68	51.83	+16.17
2	Midtjylland	58	49.42	+8.58
3	Horsens	57	48.95	+8.05
4	Sonderjyske	44	39.62	+4.38
5	FC Copenhagen	66	63.27	+2.73

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Odense	34	47.01	-13.01
2	HB Koge	19	28.35	-9.35
3	Brondby	36	44.65	-8.65
4	Lyngby	28	32.40	-4.40
5	Aalborg	44	46.24	-2.24

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	Sonderjyske	3	Mar 24 – Apr 5	1 in 142
2	FC Copenhagen	8	Jul 30 – Sep 24	1 in 121
3	Aarhus GF	4	Aug 29 – Sep 24	1 in 43
4	Nordsjaelland	5	Apr 15 – May 5	1 in 38
5	Midtjylland	4	Sep 18 – Oct 16	1 in 35

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Odense	5	Mar 10 – Apr 6	1 in 427
2	HB Koge	5	Jul 17 – Aug 14	1 in 40
3	Aalborg	3	Sep 11 – Sep 26	1 in 35
4	Brondby	4	May 6 – May 23	1 in 34
5	Lyngby	5	Apr 15 – May 5	1 in 21

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Aarhus GF	11	Aug 15 – Nov 7	1 in 101
2	Silkeborg	8	Sep 18 – Nov 21	1 in 81
3	Sonderjyske	7	Mar 24 – Apr 29	1 in 61
4	Aalborg	7	Jul 17 – Aug 27	1 in 28
5	Midtjylland	8	Apr 1 – May 7	1 in 17

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Odense	13	Mar 5 – May 14	1 in 338
2	Silkeborg	7	Jul 23 – Sep 10	1 in 24
3	FC Copenhagen	4	May 2 – May 20	1 in 22
4	Midtjylland	4	Oct 23 – Nov 20	1 in 17
5	HB Koge	13	Aug 27 – Mar 4	1 in 17

Position Race

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

Recent Form

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

Team	Elo	Season Pts	Elo Δ (5)	Points (5)	Expected (5)	Actual − Exp
Nordsjaelland	1810	68	+42	13	9.2	+3.8
FC Copenhagen	1803	66	-22	5	9.3	-4.3
Midtjylland	1738	58	+25	10	7.5	+2.5
Horsens	1725	57	+44	12	7.4	+4.6
Aarhus GF	1672	48	+3	9	8.3	+0.7
Aalborg	1590	44	-30	9	8.0	+1.0
Sonderjyske	1651	44	+12	6	5.3	+0.7
Silkeborg	1657	43	-15	4	7.1	-3.1
Brondby	1587	36	-41	3	6.1	-3.1
Odense	1619	34	+18	6	6.4	-0.4
Lyngby	1495	28	-11	6	4.2	+1.8
HB Koge	1457	19	-25	1	3.8	-2.8

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	FC	HK	HOR	LYN	MID	NOR	ODE	SIL	SON
Aalborg	—	1-1-1 4.21	1-2-0 3.83	0-1-2 2.55	2-1-0 5.58	1-1-1 3.59	1-0-2 5.68	2-0-1 4.07	0-0-3 3.89	3-0-0 4.01	1-1-1 3.97	0-1-2 4.59
Aarhus GF	1-1-1 4.01	—	1-2-0 4.57	0-3-0 2.80	3-0-0 5.91	1-0-2 3.80	2-1-0 5.48	2-0-1 4.10	1-1-1 3.87	1-2-0 4.35	0-1-2 4.13	0-1-2 4.90
Brondby	0-2-1 4.39	0-2-1 3.65	—	1-0-2 2.77	1-2-0 5.83	0-0-3 4.25	2-0-1 5.47	0-0-3 3.58	1-0-2 3.00	1-1-1 3.86	2-0-1 4.04	1-2-0 4.54
FC Copenhagen	2-1-0 5.72	0-3-0 5.45	2-0-1 5.48	—	3-0-0 6.52	2-0-1 5.31	3-0-0 6.25	1-1-1 5.38	1-0-2 5.25	1-2-0 5.50	2-1-0 5.74	2-1-0 5.78
HB Koge	0-1-2 2.68	0-0-3 2.38	0-2-1 2.44	0-0-3 1.84	—	1-0-2 2.45	0-1-2 3.48	0-1-2 2.52	0-0-3 2.30	1-1-1 2.29	2-0-1 2.59	0-1-2 2.63
Horsens	1-1-1 4.63	2-0-1 4.43	3-0-0 3.97	1-0-2 2.93	2-0-1 5.84	—	1-2-0 5.27	1-0-2 4.00	0-1-2 3.76	2-0-1 4.37	1-2-0 4.74	3-0-0 4.27
Lyngby	2-0-1 2.58	0-1-2 2.78	1-0-2 2.78	0-0-3 2.06	2-1-0 4.75	0-2-1 2.98	—	1-0-2 2.62	1-0-2 2.41	1-0-2 2.76	0-0-3 3.53	0-0-3 3.95
Midtjylland	1-0-2 4.14	1-0-2 4.12	3-0-0 4.64	1-1-1 2.86	2-1-0 5.77	2-0-1 4.22	2-0-1 5.65	—	1-2-0 3.86	3-0-0 4.06	0-1-2 4.68	1-2-0 5.16
Nordsjaelland	3-0-0 4.33	1-1-1 4.36	2-0-1 5.24	2-0-1 2.99	3-0-0 5.99	2-1-0 4.46	2-0-1 5.88	0-2-1 4.36	—	1-1-1 4.55	3-0-0 4.59	2-0-1 5.48
Odense	0-0-3 4.20	0-2-1 3.87	1-1-1 4.36	0-2-1 2.77	1-1-1 6.00	1-0-2 3.85	2-0-1 5.48	0-0-3 4.17	1-1-1 3.70	—	1-2-0 4.12	1-1-1 4.82
Silkeborg	1-1-1 4.24	2-1-0 4.09	1-0-2 4.18	0-1-2 2.53	1-0-2 5.68	0-2-1 3.49	3-0-0 4.70	2-1-0 3.54	0-0-3 3.63	0-2-1 4.11	—	1-2-0 4.99
Sonderjyske	2-1-0 3.64	2-1-0 3.34	0-2-1 3.69	0-1-2 2.50	2-1-0 5.63	0-0-3 3.95	3-0-0 4.27	0-2-1 3.08	1-0-2 2.77	1-1-1 3.41	0-2-1 3.24	—

Points vs. Goals Scored, Allowed, and Differential

Points plotted against goals scored, allowed, and differential. Use the buttons to switch views; hover a team for exact values. The table gives each fit's R² and slope (the change in points per 10 goals).

Fit Metrics

	R²	Slope
Scored	0.69	+15.6
Allowed	0.91	-10.7
Differential	0.93	+7.2

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	6.57%	7.58%	6.82%	1.77%	1.01%	1.01%	24.75%
1	7.58%	13.13%	9.60%	4.55%	1.77%	0.25%	36.87%
2	6.82%	9.60%	4.04%	1.26%	1.52%	—	23.23%
3	1.77%	4.55%	1.26%	1.01%	0.25%	0.25%	9.09%
4	1.01%	1.77%	1.52%	0.25%	—	—	4.55%
5+	1.01%	0.25%	—	0.25%	—	—	1.52%
Total	24.75%	36.87%	23.23%	9.09%	4.55%	1.52%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.36	1.36	+0.00
SD	1.17	1.17	1.73
CV	0.86	0.86	—
Max	5	5	+5
Min	0	0	-5

Games Played: 198

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	6.06%	9.09%	3.03%	—	3.03%	24.24%
1	12.12%	15.15%	12.12%	—	—	—	39.39%
2	3.03%	12.12%	3.03%	3.03%	3.03%	—	24.24%
3	—	6.06%	—	3.03%	—	—	9.09%
4	—	3.03%	—	—	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	18.18%	42.42%	24.24%	9.09%	3.03%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.27	1.45	-0.18
SD	1.04	1.18	1.63
CV	0.82	0.81	—
Max	4	5	+3
Min	0	0	-5

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.42	1.21	+0.21
SD	1.20	1.22	1.60
CV	0.84	1.01	—
Max	5	5	+4
Min	0	0	-2

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	15.15%	9.09%	—	—	—	33.33%
1	12.12%	9.09%	12.12%	3.03%	3.03%	3.03%	42.42%
2	—	9.09%	6.06%	—	—	—	15.15%
3	—	—	3.03%	3.03%	—	—	6.06%
4	—	—	—	—	—	—	—
5+	3.03%	—	—	—	—	—	3.03%
Total	24.24%	33.33%	30.30%	6.06%	3.03%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.06	1.39	-0.33
SD	1.12	1.20	1.57
CV	1.05	0.86	—
Max	5	5	+5
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	12.12%	6.06%	3.03%	—	—	—	21.21%
1	6.06%	9.09%	3.03%	3.03%	—	—	21.21%
2	15.15%	15.15%	6.06%	—	—	—	36.36%
3	6.06%	9.09%	—	—	—	—	15.15%
4	—	—	3.03%	—	—	—	3.03%
5+	3.03%	—	—	—	—	—	3.03%
Total	42.42%	39.39%	15.15%	3.03%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.67	0.79	+0.88
SD	1.24	0.82	1.49
CV	0.74	1.04	—
Max	5	3	+5
Min	0	0	-2

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	3.03%	15.15%	3.03%	—	6.06%	30.30%
1	3.03%	15.15%	15.15%	12.12%	6.06%	—	51.52%
2	—	3.03%	3.03%	3.03%	3.03%	—	12.12%
3	3.03%	—	—	—	—	—	3.03%
4	—	—	3.03%	—	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	9.09%	21.21%	36.36%	18.18%	9.09%	6.06%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.97	2.15	-1.18
SD	0.92	1.30	1.70
CV	0.95	0.61	—
Max	4	5	+3
Min	0	0	-5

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	9.09%	6.06%	6.06%	—	—	24.24%
1	12.12%	12.12%	6.06%	—	3.03%	—	33.33%
2	6.06%	9.09%	—	—	—	—	15.15%
3	3.03%	9.09%	—	3.03%	—	—	15.15%
4	—	6.06%	—	3.03%	—	—	9.09%
5+	3.03%	—	—	—	—	—	3.03%
Total	27.27%	45.45%	12.12%	12.12%	3.03%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.61	1.18	+0.42
SD	1.41	1.07	1.89
CV	0.88	0.91	—
Max	5	4	+5
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	12.12%	6.06%	6.06%	9.09%	—	36.36%
1	9.09%	6.06%	18.18%	9.09%	—	—	42.42%
2	—	6.06%	3.03%	3.03%	—	—	12.12%
3	—	3.03%	3.03%	—	—	—	6.06%
4	—	3.03%	—	—	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	12.12%	30.30%	30.30%	18.18%	9.09%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.97	1.82	-0.85
SD	1.02	1.16	1.70
CV	1.05	0.64	—
Max	4	4	+3
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	3.03%	6.06%	—	—	—	15.15%
1	9.09%	12.12%	9.09%	3.03%	3.03%	—	36.36%
2	12.12%	18.18%	3.03%	—	3.03%	—	36.36%
3	—	—	6.06%	—	—	—	6.06%
4	—	6.06%	—	—	—	—	6.06%
5+	—	—	—	—	—	—	—
Total	27.27%	39.39%	24.24%	3.03%	6.06%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.52	1.21	+0.30
SD	1.03	1.08	1.49
CV	0.68	0.89	—
Max	4	4	+3
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	9.09%	6.06%	—	—	—	21.21%
1	15.15%	9.09%	6.06%	—	—	—	30.30%
2	24.24%	12.12%	—	—	—	—	36.36%
3	3.03%	3.03%	—	—	—	—	6.06%
4	3.03%	—	—	—	—	—	3.03%
5+	—	—	—	3.03%	—	—	3.03%
Total	51.52%	33.33%	12.12%	3.03%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.48	0.67	+0.82
SD	1.18	0.82	1.42
CV	0.79	1.22	—
Max	5	3	+4
Min	0	0	-2

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.39	1.52	-0.12
SD	1.14	1.25	1.60
CV	0.82	0.83	—
Max	4	4	+4
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	—	21.21%	15.15%	6.06%	—	—	42.42%
2	6.06%	9.09%	6.06%	3.03%	—	—	24.24%
3	3.03%	3.03%	3.03%	—	—	—	9.09%
4	—	3.03%	6.06%	—	—	—	9.09%
5+	—	—	—	—	—	—	—
Total	12.12%	45.45%	30.30%	12.12%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.55	1.42	+0.12
SD	1.15	0.87	1.45
CV	0.74	0.61	—
Max	4	3	+3
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	6.06%	12.12%	—	3.03%	3.03%	30.30%
1	6.06%	18.18%	—	3.03%	3.03%	—	30.30%
2	—	6.06%	6.06%	—	3.03%	—	15.15%
3	—	12.12%	—	3.03%	—	—	15.15%
4	3.03%	—	3.03%	—	—	—	6.06%
5+	3.03%	—	—	—	—	—	3.03%
Total	18.18%	42.42%	21.21%	6.06%	9.09%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.45	1.55	-0.09
SD	1.39	1.30	2.10
CV	0.96	0.84	—
Max	5	5	+5
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
Nordsjaelland	1810	68	51.83	+16.17	98.0%	32	39	47	52	56	61	81
FC Copenhagen	1803	66	63.27	+2.73	67.0%	46	52	58	63	68	74	90
Midtjylland	1738	58	49.42	+8.58	86.0%	33	37	44	48	54	64	69
Horsens	1725	57	48.95	+8.05	87.0%	31	37	45	49	54	59	65
Aarhus GF	1672	48	47.97	+0.03	56.0%	33	36	43	47	53	60	64
Silkeborg	1657	43	44.76	-1.76	40.0%	27	31	38	45	50	56	58
Sonderjyske	1651	44	39.62	+4.38	77.0%	21	28	35	39	44	52	56
Odense	1619	34	47.01	-13.01	4.0%	28	36	40	48	52	60	65
Aalborg	1590	44	46.24	-2.24	36.0%	29	35	41	47	51	59	63
Brondby	1587	36	44.65	-8.65	12.0%	27	33	39	44	50	58	62
Lyngby	1495	28	32.40	-4.40	29.0%	16	20	28	32	37	42	50
HB Koge	1457	19	28.35	-9.35	8.0%	13	16	24	28	32	40	42

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

+10.61%

Slight Edge

42.93%24.75%32.32%

Elo Value

Home Edge: 36.99 Elo pts.

199 Elo

0.005 goals per Elo point

0500

Scoring Tilt

Expected

+0.17 goals

Neutral

-2+0.19+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

2.0

One-Team Race

134610

Champion Preseason Odds

Nordsjaelland, 2nd of 12

LongshotFavorite

Title Margin

Expected

0.06/gm

Tight Race

00.220.5/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 5.74 * Some Luck: 5.74 to 8.61 * Lucky: 8.61 to 11.47 * Wild Swing: 11.47 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 1.55 * Close: 1.55 to 2.33 * Off: 2.33 to 3.1 * Way Off: 3.1 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 0.5 * A Surprise: 0.5 to 0.8 * Several Surprises: 0.8 to 1.1 * Many Surprises: 1.1 and up.

Luck Spread

Expected

8.09 points

Some Luck

07.1718

Average Finish Error

Expected

0.83

Pinpoint

01.944

Biggest Overachiever

Expected 95.83%

98.00%

Nordsjaelland

50100

Biggest Underachiever

Expected 4.17%

4.00%

Odense

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

0.18

Lopsided

00.120.5

Noll-Scully

Elo SD: 109.72

1.97

Wide Separation

0.651.351.61.92.5

Interquartile Edge

69%

Clear Edge

50%59%69%100%

Best vs. Worst

Baseline

88%

Strong Edge

50%90%100%

Close Games

Expected

62%

Very Frequent

0%61%100%

Blowouts

Expected

12%

Rare

0%15%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

0.61

Predictable

00.622

Matchup Imbalance

0.30

Slight Separation

00.280.370.5

Strangeness

Expected

1.23

Wilder Than Modeled

01.002

Repeatability

0.29

Weak Carryover

00.30.50.631

Upset Rate

Expected

25%

As Expected

0%26%50%

Clear Favorite Upset Rate

Expected

21%

As Expected

0%22%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

1.00

Excellent

0.010.050.10.51

Calibration slope

Ideal

1.03

Calibrated

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.034

Well Within Noise

00.1220.3

Final Table Odds

Each cell is the probability — across 100,000 simulations — that the team (row) finished at that position (column). Rows are sorted by actual finish (champion at top, bottom of the table at the bottom).

Team	1	2	3	4	5	6	7	8	9	10	11	12
Nordsjaelland	9.00%	25.00%	16.00%	18.00%	6.00%	4.00%	8.00%	8.00%	5.00%	1.00%	—	—
FC Copenhagen	69.00%	14.00%	12.00%	2.00%	1.00%	1.00%	—	1.00%	—	—	—	—
Midtjylland	9.00%	13.00%	11.00%	12.00%	14.00%	8.00%	8.00%	11.00%	6.00%	7.00%	1.00%	—
Horsens	2.00%	15.00%	11.00%	17.00%	13.00%	12.00%	6.00%	13.00%	6.00%	3.00%	1.00%	1.00%
Aarhus GF	1.00%	13.00%	15.00%	6.00%	12.00%	14.00%	15.00%	13.00%	3.00%	6.00%	2.00%	—
Sonderjyske	—	1.00%	4.00%	2.00%	2.00%	8.00%	13.00%	14.00%	16.00%	22.00%	14.00%	4.00%
Aalborg	4.00%	4.00%	6.00%	11.00%	14.00%	19.00%	11.00%	9.00%	11.00%	6.00%	4.00%	1.00%
Silkeborg	—	3.00%	9.00%	14.00%	17.00%	8.00%	7.00%	9.00%	14.00%	12.00%	4.00%	3.00%
Brondby	2.00%	4.00%	4.00%	8.00%	12.00%	11.00%	17.00%	9.00%	16.00%	12.00%	4.00%	1.00%
Odense	4.00%	8.00%	12.00%	10.00%	8.00%	13.00%	13.00%	6.00%	11.00%	9.00%	4.00%	2.00%
Lyngby	—	—	—	—	1.00%	2.00%	—	5.00%	9.00%	17.00%	37.00%	29.00%
HB Koge	—	—	—	—	—	—	2.00%	2.00%	3.00%	5.00%	29.00%	59.00%

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
FC Copenhagen	100%	—
Nordsjaelland	100%	—
Midtjylland	99.00%	1.00%
Aarhus GF	98.00%	2.00%
Horsens	98.00%	2.00%
Aalborg	95.00%	5.00%
Brondby	95.00%	5.00%
Odense	94.00%	6.00%
Silkeborg	93.00%	7.00%
Sonderjyske	82.00%	18.00%
Lyngby	34.00%	66.00%
HB Koge	12.00%	88.00%

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
2011-07-16	Nordsjaelland	W 2-0	52.0	1687	1637	48.70%	25.61%	25.69%	+0.44	+14.3	3
2011-07-16	@ Odense	L 0-2	52.0	1637	1687	25.69%	25.61%	48.70%	-0.44	-14.3	0
2011-07-17	Aalborg	D 2-2	77.4	1682	1641	47.52%	25.73%	26.74%	+0.39	-0.8	1
2011-07-17	@ Brondby	D 2-2	77.4	1641	1682	26.74%	25.73%	47.52%	-0.39	+0.8	1
2011-07-17	FC Copenhagen	L 0-2	53.3	1627	1725	28.63%	25.92%	45.44%	-0.31	-15.6	0
2011-07-17	@ Sonderjyske	W 2-0	53.3	1725	1627	45.44%	25.92%	28.63%	+0.31	+15.6	3
2011-07-17	HB Koge	W 3-0	49.8	1630	1606	45.32%	25.93%	28.75%	+0.31	+22.7	3
2011-07-17	@ Horsens	L 0-3	49.8	1606	1630	28.75%	25.93%	45.32%	-0.31	-22.7	0
2011-07-17	Silkeborg	L 1-2	67.6	1668	1642	45.53%	25.91%	28.55%	+0.31	-11.1	0
2011-07-17	@ Midtjylland	W 2-1	67.6	1642	1668	28.55%	25.91%	45.53%	-0.31	+11.1	3
2011-07-18	Lyngby	W 2-1	62.2	1640	1623	44.45%	25.99%	29.56%	+0.27	+8.0	3
2011-07-18	@ Aarhus GF	L 1-2	62.2	1623	1640	29.56%	25.99%	44.45%	-0.27	-8.0	0
2011-07-23	Brondby	L 0-1	59.9	1653	1681	38.23%	26.24%	35.53%	+0.05	-10.3	3
2011-07-23	@ Silkeborg	W 1-0	59.9	1681	1653	35.53%	26.24%	38.23%	-0.05	+10.3	4
2011-07-23	Odense	D 2-2	78.3	1741	1701	47.44%	25.74%	26.82%	+0.39	-0.8	4
2011-07-23	@ FC Copenhagen	D 2-2	78.3	1701	1741	26.82%	25.74%	47.44%	-0.39	+0.8	4
2011-07-24	Aarhus GF	W 2-1	63.6	1642	1648	41.18%	26.17%	32.65%	+0.15	+8.6	4
2011-07-24	@ Aalborg	L 1-2	63.6	1648	1642	32.65%	26.17%	41.18%	-0.15	-8.6	3
2011-07-24	Horsens	D 1-1	70.5	1622	1652	37.89%	26.24%	35.87%	+0.04	-0.1	1
2011-07-24	@ Nordsjaelland	D 1-1	70.5	1652	1622	35.87%	26.24%	37.89%	-0.04	+0.1	4
2011-07-24	Sonderjyske	L 0-1	59.6	1615	1611	42.61%	26.10%	31.29%	+0.20	-11.2	0
2011-07-24	@ Lyngby	W 1-0	59.6	1611	1615	31.29%	26.10%	42.61%	-0.20	+11.2	3
2011-07-25	Midtjylland	L 2-3	67.8	1583	1656	31.84%	26.13%	42.03%	-0.18	-8.0	0
2011-07-25	@ HB Koge	W 3-2	67.8	1656	1583	42.03%	26.13%	31.84%	+0.18	+8.0	3
2011-07-30	Nordsjaelland	W 2-0	50.0	1740	1622	56.66%	24.29%	19.05%	+0.78	+11.0	7
2011-07-30	@ FC Copenhagen	L 0-2	50.0	1622	1740	19.05%	24.29%	56.66%	-0.78	-11.0	1
2011-07-30	Odense	D 2-2	77.5	1640	1702	33.35%	26.19%	40.46%	-0.13	+0.3	4
2011-07-30	@ Aarhus GF	D 2-2	77.5	1702	1640	40.46%	26.19%	33.35%	+0.13	-0.3	5
2011-07-31	HB Koge	W 3-1	56.4	1604	1575	45.96%	25.88%	28.16%	+0.33	+13.3	3
2011-07-31	@ Lyngby	L 1-3	56.4	1575	1604	28.16%	25.88%	45.96%	-0.33	-13.3	0
2011-07-31	Horsens	L 1-4	62.1	1691	1652	47.25%	25.76%	26.99%	+0.38	-28.1	4
2011-07-31	@ Brondby	W 4-1	62.1	1652	1691	26.99%	25.76%	47.25%	-0.38	+28.1	7
2011-07-31	Sonderjyske	D 1-1	70.5	1643	1622	44.88%	25.96%	29.16%	+0.29	-0.8	4
2011-07-31	@ Silkeborg	D 1-1	70.5	1622	1643	29.16%	25.96%	44.88%	-0.29	+0.8	4
2011-08-01	Midtjylland	W 1-0	58.3	1650	1664	40.11%	26.20%	33.69%	+0.11	+9.4	7
2011-08-01	@ Aalborg	L 0-1	58.3	1664	1650	33.69%	26.20%	40.11%	-0.11	-9.4	3
2011-08-06	Aalborg	D 3-3	81.5	1680	1660	44.91%	25.96%	29.12%	+0.29	-0.5	8
2011-08-06	@ Horsens	D 3-3	81.5	1660	1680	29.12%	25.96%	44.91%	-0.29	+0.5	8
2011-08-06	Aarhus GF	W 3-1	60.0	1623	1640	39.77%	26.21%	34.02%	+0.10	+15.4	7
2011-08-06	@ Sonderjyske	L 1-3	60.0	1640	1623	34.02%	26.21%	39.77%	-0.10	-15.4	4
2011-08-07	Brondby	W 2-1	62.6	1701	1663	47.24%	25.76%	27.00%	+0.38	+7.4	8
2011-08-07	@ Odense	L 1-2	62.6	1663	1701	27.00%	25.76%	47.24%	-0.38	-7.4	4
2011-08-07	FC Copenhagen	L 2-4	59.6	1562	1751	19.25%	24.35%	56.40%	-0.77	-8.6	0
2011-08-07	@ HB Koge	W 4-2	59.6	1751	1562	56.40%	24.35%	19.25%	+0.77	+8.6	10
2011-08-07	Lyngby	W 2-1	61.5	1655	1617	47.18%	25.77%	27.06%	+0.38	+7.4	6
2011-08-07	@ Midtjylland	L 1-2	61.5	1617	1655	27.06%	25.77%	47.18%	-0.38	-7.4	3
2011-08-07	Silkeborg	W 2-1	64.0	1611	1642	37.76%	26.24%	36.00%	+0.03	+9.3	4
2011-08-07	@ Nordsjaelland	L 1-2	64.0	1642	1611	36.00%	26.24%	37.76%	-0.03	-9.3	4
2011-08-13	Midtjylland	W 2-0	51.1	1760	1663	54.35%	24.76%	20.88%	+0.67	+11.9	13
2011-08-13	@ FC Copenhagen	L 0-2	51.1	1663	1760	20.88%	24.76%	54.35%	-0.67	-11.9	6
2011-08-13	Odense	W 2-1	66.2	1660	1709	35.20%	26.23%	38.57%	-0.06	+9.8	11
2011-08-13	@ Aalborg	L 1-2	66.2	1709	1660	38.57%	26.23%	35.20%	+0.06	-9.8	8
2011-08-14	HB Koge	W 2-0	48.7	1620	1553	50.85%	25.33%	23.81%	+0.53	+13.4	7
2011-08-14	@ Nordsjaelland	L 0-2	48.7	1553	1620	23.81%	25.33%	50.85%	-0.53	-13.4	0
2011-08-14	Horsens	D 1-1	70.8	1610	1680	32.25%	26.15%	41.60%	-0.17	+0.5	4
2011-08-14	@ Lyngby	D 1-1	70.8	1680	1610	41.60%	26.15%	32.25%	+0.17	-0.5	9
2011-08-14	Sonderjyske	D 2-2	77.0	1655	1639	44.39%	26.00%	29.61%	+0.27	-0.6	5
2011-08-14	@ Brondby	D 2-2	77.0	1639	1655	29.61%	26.00%	44.39%	-0.27	+0.6	8
2011-08-15	Aarhus GF	D 1-1	70.3	1633	1624	43.23%	26.07%	30.70%	+0.23	-0.7	5
2011-08-15	@ Silkeborg	D 1-1	70.3	1624	1633	30.70%	26.07%	43.23%	-0.23	+0.7	5
2011-08-20	FC Copenhagen	L 0-1	58.1	1679	1772	29.43%	25.99%	44.58%	-0.28	-8.4	9
2011-08-20	@ Horsens	W 1-0	58.1	1772	1679	44.58%	25.99%	29.43%	+0.28	+8.4	16
2011-08-20	Lyngby	W 3-1	56.5	1699	1610	53.42%	24.93%	21.65%	+0.63	+10.7	11
2011-08-20	@ Odense	L 1-3	56.5	1610	1699	21.65%	24.93%	53.42%	-0.63	-10.7	4
2011-08-21	Brondby	D 0-0	65.9	1625	1655	37.91%	26.24%	35.85%	+0.04	-0.1	6
2011-08-21	@ Aarhus GF	D 0-0	65.9	1655	1625	35.85%	26.24%	37.91%	-0.04	+0.1	6
2011-08-21	Nordsjaelland	W 2-1	62.5	1651	1634	44.36%	26.00%	29.64%	+0.27	+8.0	9
2011-08-21	@ Midtjylland	L 1-2	62.5	1634	1651	29.64%	26.00%	44.36%	-0.27	-8.0	7
2011-08-21	Silkeborg	W 3-0	53.1	1540	1632	29.42%	25.98%	44.60%	-0.28	+31.8	3
2011-08-21	@ HB Koge	L 0-3	53.1	1632	1540	44.60%	25.98%	29.42%	+0.28	-31.8	5
2011-08-22	Aalborg	D 0-0	66.3	1639	1670	37.77%	26.24%	35.98%	+0.03	-0.1	9
2011-08-22	@ Sonderjyske	D 0-0	66.3	1670	1639	35.98%	26.24%	37.77%	-0.03	+0.1	12
2011-08-27	Aalborg	L 1-4	55.2	1571	1670	28.66%	25.92%	45.41%	-0.31	-19.1	3
2011-08-27	@ HB Koge	W 4-1	55.2	1670	1571	45.41%	25.92%	28.66%	+0.31	+19.1	15
2011-08-28	Brondby	W 2-1	63.4	1659	1655	42.58%	26.11%	31.31%	+0.20	+8.4	12
2011-08-28	@ Midtjylland	L 1-2	63.4	1655	1659	31.31%	26.11%	42.58%	-0.20	-8.3	6
2011-08-28	Lyngby	W 4-0	49.5	1626	1599	45.66%	25.90%	28.43%	+0.32	+29.4	10
2011-08-28	@ Nordsjaelland	L 0-4	49.5	1599	1626	28.43%	25.90%	45.66%	-0.32	-29.4	4
2011-08-28	Silkeborg	W 2-1	58.0	1780	1600	62.94%	22.60%	14.47%	+1.09	+4.2	19
2011-08-28	@ FC Copenhagen	L 1-2	58.0	1600	1780	14.47%	22.60%	62.94%	-1.09	-4.2	5
2011-08-28	Sonderjyske	L 2-4	69.9	1710	1639	51.25%	25.28%	23.47%	+0.54	-19.0	11
2011-08-28	@ Odense	W 4-2	69.9	1639	1710	23.47%	25.28%	51.25%	-0.54	+19.0	12
2011-08-29	Aarhus GF	L 0-3	56.5	1671	1625	48.19%	25.66%	26.15%	+0.42	-33.9	9
2011-08-29	@ Horsens	W 3-0	56.5	1625	1671	26.15%	25.66%	48.19%	-0.42	+33.9	9
2011-09-10	FC Copenhagen	L 0-1	53.1	1570	1784	17.24%	23.72%	59.04%	-0.89	-5.3	4
2011-09-10	@ Lyngby	W 1-0	53.1	1784	1570	59.04%	23.72%	17.24%	+0.89	+5.3	22
2011-09-10	Odense	L 1-3	58.8	1596	1691	29.14%	25.96%	44.90%	-0.29	-13.7	5
2011-09-10	@ Silkeborg	W 3-1	58.8	1691	1596	44.90%	25.96%	29.14%	+0.29	+13.7	14
2011-09-11	HB Koge	W 5-0	47.4	1647	1552	54.02%	24.82%	21.16%	+0.66	+28.2	9
2011-09-11	@ Brondby	L 0-5	47.4	1552	1647	21.16%	24.82%	54.02%	-0.66	-28.2	3
2011-09-11	Horsens	L 1-3	63.7	1658	1637	44.93%	25.96%	29.11%	+0.29	-19.1	12
2011-09-11	@ Sonderjyske	W 3-1	63.7	1637	1658	29.11%	25.96%	44.93%	-0.29	+19.1	12
2011-09-11	Nordsjaelland	L 1-2	68.3	1689	1655	46.62%	25.82%	27.56%	+0.36	-11.3	15
2011-09-11	@ Aalborg	W 2-1	68.3	1655	1689	27.56%	25.82%	46.62%	-0.36	+11.3	13
2011-09-12	Midtjylland	W 4-2	64.4	1659	1667	40.97%	26.17%	32.85%	+0.15	+13.4	12
2011-09-12	@ Aarhus GF	L 2-4	64.4	1667	1659	32.85%	26.17%	40.97%	-0.15	-13.4	12
2011-09-17	Aarhus GF	L 0-2	49.0	1524	1672	23.12%	25.21%	51.67%	-0.56	-13.0	3
2011-09-17	@ HB Koge	W 2-0	49.0	1672	1524	51.67%	25.21%	23.12%	+0.56	+13.0	15
2011-09-18	Aalborg	W 2-0	50.9	1790	1678	56.00%	24.43%	19.57%	+0.75	+11.3	25
2011-09-18	@ FC Copenhagen	L 0-2	50.9	1678	1790	19.57%	24.43%	56.00%	-0.75	-11.3	15
2011-09-18	Brondby	W 2-0	54.5	1667	1675	40.94%	26.18%	32.88%	+0.14	+17.4	16
2011-09-18	@ Nordsjaelland	L 0-2	54.5	1675	1667	32.88%	26.18%	40.94%	-0.14	-17.4	9
2011-09-18	Silkeborg	L 0-2	53.0	1565	1582	39.62%	26.21%	34.16%	+0.10	-20.0	4
2011-09-18	@ Lyngby	W 2-0	53.0	1582	1565	34.16%	26.21%	39.62%	-0.10	+19.9	8
2011-09-18	Sonderjyske	W 2-0	53.0	1654	1639	44.07%	26.02%	29.91%	+0.26	+16.1	15
2011-09-18	@ Midtjylland	L 0-2	53.0	1639	1654	29.91%	26.02%	44.07%	-0.26	-16.1	12
2011-09-19	Odense	W 4-3	74.0	1656	1704	35.27%	26.24%	38.49%	-0.06	+9.0	15
2011-09-19	@ Horsens	L 3-4	74.0	1704	1656	38.49%	26.24%	35.27%	+0.06	-9.0	14
2011-09-24	FC Copenhagen	L 1-2	62.0	1658	1801	23.61%	25.30%	51.09%	-0.54	-6.6	9
2011-09-24	@ Brondby	W 2-1	62.0	1801	1658	51.09%	25.30%	23.61%	+0.54	+6.6	28
2011-09-24	Nordsjaelland	W 1-0	58.2	1685	1684	42.28%	26.12%	31.60%	+0.19	+8.9	18
2011-09-24	@ Aarhus GF	L 0-1	58.2	1684	1685	31.60%	26.12%	42.28%	-0.19	-8.9	16
2011-09-25	HB Koge	D 0-0	63.2	1623	1511	55.99%	24.44%	19.58%	+0.75	-2.3	13
2011-09-25	@ Sonderjyske	D 0-0	63.2	1511	1623	19.58%	24.44%	55.99%	-0.75	+2.3	4
2011-09-25	Horsens	D 1-1	70.4	1602	1665	33.26%	26.19%	40.55%	-0.13	+0.4	9
2011-09-25	@ Silkeborg	D 1-1	70.4	1665	1602	40.55%	26.19%	33.26%	+0.13	-0.4	16
2011-09-25	Midtjylland	L 1-4	61.8	1695	1670	45.57%	25.91%	28.52%	+0.32	-27.3	14
2011-09-25	@ Odense	W 4-1	61.8	1670	1695	28.52%	25.91%	45.57%	-0.32	+27.3	18
2011-09-26	Lyngby	L 1-2	68.9	1666	1545	57.07%	24.20%	18.73%	+0.80	-13.5	15
2011-09-26	@ Aalborg	W 2-1	68.9	1545	1666	18.73%	24.20%	57.07%	-0.80	+13.5	7
2011-10-01	Aalborg	D 1-1	70.2	1603	1653	35.00%	26.23%	38.77%	-0.07	+0.2	10
2011-10-01	@ Silkeborg	D 1-1	70.2	1653	1603	38.77%	26.23%	35.00%	+0.07	-0.2	16
2011-10-02	Aarhus GF	D 1-1	72.9	1808	1694	56.15%	24.40%	19.45%	+0.76	-2.1	29
2011-10-02	@ FC Copenhagen	D 1-1	72.9	1694	1808	19.45%	24.40%	56.15%	-0.76	+2.1	19
2011-10-02	HB Koge	W 2-1	55.7	1668	1513	60.49%	23.33%	16.18%	+0.96	+4.7	17
2011-10-02	@ Odense	L 1-2	55.7	1513	1668	16.18%	23.33%	60.49%	-0.96	-4.7	4
2011-10-02	Lyngby	W 1-0	52.5	1651	1558	53.83%	24.86%	21.31%	+0.65	+6.4	12
2011-10-02	@ Brondby	L 0-1	52.5	1558	1651	21.31%	24.86%	53.83%	-0.65	-6.5	7
2011-10-02	Sonderjyske	W 1-0	55.4	1675	1621	49.25%	25.54%	25.21%	+0.46	+7.5	19
2011-10-02	@ Nordsjaelland	L 0-1	55.4	1621	1675	25.21%	25.54%	49.25%	-0.46	-7.4	13
2011-10-03	Horsens	W 1-0	56.9	1697	1665	46.40%	25.84%	27.76%	+0.35	+8.1	21
2011-10-03	@ Midtjylland	L 0-1	56.9	1665	1697	27.76%	25.84%	46.40%	-0.35	-8.1	16
2011-10-15	Aalborg	W 1-0	56.8	1682	1653	46.08%	25.87%	28.05%	+0.34	+8.1	22
2011-10-15	@ Nordsjaelland	L 0-1	56.8	1653	1682	28.05%	25.87%	46.08%	-0.34	-8.1	16
2011-10-16	Brondby	W 1-0	56.3	1705	1657	48.39%	25.64%	25.97%	+0.43	+7.6	24
2011-10-16	@ Midtjylland	L 0-1	56.3	1657	1705	25.97%	25.64%	48.39%	-0.43	-7.6	12
2011-10-16	Odense	D 0-0	67.0	1696	1673	45.27%	25.93%	28.80%	+0.30	-1.0	20
2011-10-16	@ Aarhus GF	D 0-0	67.0	1673	1696	28.80%	25.93%	45.27%	-0.30	+1.0	18
2011-10-16	Silkeborg	L 2-3	66.8	1552	1603	34.87%	26.23%	38.90%	-0.07	-8.6	7
2011-10-16	@ Lyngby	W 3-2	66.8	1603	1552	38.90%	26.23%	34.87%	+0.07	+8.6	13
2011-10-16	Sonderjyske	L 1-3	54.8	1509	1613	27.96%	25.86%	46.18%	-0.34	-13.2	4
2011-10-16	@ HB Koge	W 3-1	54.8	1613	1509	46.18%	25.86%	27.96%	+0.34	+13.2	16
2011-10-17	FC Copenhagen	W 2-0	60.7	1657	1805	23.07%	25.20%	51.73%	-0.56	+24.8	19
2011-10-17	@ Horsens	L 0-2	60.7	1805	1657	51.73%	25.20%	23.07%	+0.56	-24.8	29
2011-10-22	Aarhus GF	D 1-1	70.3	1543	1695	22.72%	25.14%	52.14%	-0.58	+1.7	8
2011-10-22	@ Lyngby	D 1-1	70.3	1695	1543	52.14%	25.14%	22.72%	+0.58	-1.7	21
2011-10-23	Brondby	W 2-1	64.5	1612	1650	36.70%	26.25%	37.05%	-0.01	+9.5	16
2011-10-23	@ Silkeborg	L 1-2	64.5	1650	1612	37.05%	26.25%	36.70%	+0.01	-9.5	12
2011-10-23	Horsens	L 1-4	58.0	1626	1682	34.31%	26.22%	39.47%	-0.09	-21.9	16
2011-10-23	@ Sonderjyske	W 4-1	58.0	1682	1626	39.47%	26.22%	34.31%	+0.09	+21.9	22
2011-10-23	Midtjylland	D 1-1	70.1	1495	1713	17.03%	23.65%	59.32%	-0.91	+2.5	5
2011-10-23	@ HB Koge	D 1-1	70.1	1713	1495	59.32%	23.65%	17.03%	+0.91	-2.5	25
2011-10-23	Odense	W 2-1	64.9	1645	1674	38.00%	26.24%	35.76%	+0.04	+9.2	19
2011-10-23	@ Aalborg	L 1-2	64.9	1674	1645	35.76%	26.24%	38.00%	-0.04	-9.2	18
2011-10-24	Nordsjaelland	L 1-3	67.3	1781	1691	53.54%	24.91%	21.56%	+0.64	-22.1	29
2011-10-24	@ FC Copenhagen	W 3-1	67.3	1691	1781	21.56%	24.91%	53.54%	-0.64	+22.1	25
2011-10-29	Silkeborg	D 1-1	71.5	1703	1621	52.64%	25.06%	22.30%	+0.60	-1.7	23
2011-10-29	@ Horsens	D 1-1	71.5	1621	1703	22.30%	25.06%	52.64%	-0.60	+1.7	17
2011-10-30	Aalborg	D 1-1	70.8	1640	1654	40.19%	26.20%	33.61%	+0.12	-0.3	13
2011-10-30	@ Brondby	D 1-1	70.8	1654	1640	33.61%	26.20%	40.19%	-0.12	+0.3	20
2011-10-30	FC Copenhagen	L 1-3	60.1	1665	1759	29.22%	25.97%	44.81%	-0.29	-13.7	18
2011-10-30	@ Odense	W 3-1	60.1	1759	1665	44.81%	25.97%	29.22%	+0.29	+13.7	32
2011-10-30	HB Koge	W 2-0	45.1	1694	1498	64.42%	22.10%	13.48%	+1.17	+7.8	24
2011-10-30	@ Aarhus GF	L 0-2	45.1	1498	1694	13.48%	22.10%	64.42%	-1.17	-7.8	5
2011-10-30	Lyngby	L 0-1	65.0	1713	1545	61.79%	22.95%	15.26%	+1.03	-15.3	25
2011-10-30	@ Nordsjaelland	W 1-0	65.0	1545	1713	15.26%	22.95%	61.79%	-1.03	+15.3	11
2011-10-31	Sonderjyske	D 1-1	71.6	1710	1604	55.31%	24.58%	20.11%	+0.72	-2.0	26
2011-10-31	@ Midtjylland	D 1-1	71.6	1604	1710	20.11%	24.58%	55.31%	-0.72	+2.0	17
2011-11-05	Horsens	W 2-0	56.3	1654	1702	35.38%	26.24%	38.38%	-0.05	+19.5	23
2011-11-05	@ Aalborg	L 0-2	56.3	1702	1654	38.38%	26.24%	35.38%	+0.05	-19.5	23
2011-11-06	Brondby	D 0-0	66.1	1651	1640	43.59%	26.05%	30.36%	+0.24	-0.8	19
2011-11-06	@ Odense	D 0-0	66.1	1640	1651	30.36%	26.05%	43.59%	-0.24	+0.8	14
2011-11-06	Lyngby	W 3-0	45.0	1772	1560	65.89%	21.57%	12.54%	+1.25	+10.6	35
2011-11-06	@ FC Copenhagen	L 0-3	45.0	1560	1772	12.54%	21.57%	65.89%	-1.25	-10.6	11
2011-11-06	Midtjylland	W 4-1	61.0	1623	1708	30.30%	26.05%	43.65%	-0.24	+26.4	20
2011-11-06	@ Silkeborg	L 1-4	61.0	1708	1623	43.65%	26.05%	30.30%	+0.24	-26.4	26
2011-11-06	Nordsjaelland	L 0-2	46.8	1490	1697	17.79%	23.91%	58.30%	-0.86	-10.3	5
2011-11-06	@ HB Koge	W 2-0	46.8	1697	1490	58.30%	23.91%	17.79%	+0.86	+10.3	28
2011-11-07	Aarhus GF	D 1-1	71.1	1606	1702	29.09%	25.96%	44.96%	-0.29	+0.8	18
2011-11-07	@ Sonderjyske	D 1-1	71.1	1702	1606	44.96%	25.96%	29.09%	+0.29	-0.9	25
2011-11-19	Odense	L 0-1	62.2	1682	1650	46.41%	25.84%	27.75%	+0.35	-12.0	23
2011-11-19	@ Horsens	W 1-0	62.2	1650	1682	27.75%	25.84%	46.41%	-0.35	+12.0	22
2011-11-20	Aalborg	L 1-3	63.8	1682	1674	43.19%	26.07%	30.73%	+0.23	-18.5	26
2011-11-20	@ Midtjylland	W 3-1	63.8	1674	1682	30.73%	26.07%	43.19%	-0.23	+18.5	26
2011-11-20	FC Copenhagen	W 2-1	70.0	1641	1783	23.74%	25.32%	50.94%	-0.53	+12.2	17
2011-11-20	@ Brondby	L 1-2	70.0	1783	1641	50.94%	25.32%	23.74%	+0.53	-12.2	35
2011-11-20	HB Koge	D 2-2	70.3	1550	1480	51.14%	25.29%	23.57%	+0.54	-1.1	12
2011-11-20	@ Lyngby	D 2-2	70.3	1480	1550	23.57%	25.29%	51.14%	-0.54	+1.1	6
2011-11-20	Sonderjyske	W 2-0	50.1	1708	1607	54.71%	24.69%	20.60%	+0.69	+11.8	31
2011-11-20	@ Nordsjaelland	L 0-2	50.1	1607	1708	20.60%	24.69%	54.71%	-0.69	-11.8	18
2011-11-21	Silkeborg	L 0-2	59.2	1701	1649	48.89%	25.58%	25.52%	+0.45	-23.6	25
2011-11-21	@ Aarhus GF	W 2-0	59.2	1649	1701	25.52%	25.58%	48.89%	-0.45	+23.6	23
2011-11-26	Midtjylland	L 2-3	72.1	1662	1663	41.93%	26.14%	31.94%	+0.18	-9.9	22
2011-11-26	@ Odense	W 3-2	72.1	1663	1662	31.94%	26.14%	41.93%	-0.18	+9.9	29
2011-11-27	Aarhus GF	L 0-2	58.1	1692	1677	44.15%	26.01%	29.84%	+0.26	-21.7	26
2011-11-27	@ Aalborg	W 2-0	58.1	1677	1692	29.84%	26.01%	44.15%	-0.26	+21.7	28
2011-11-27	HB Koge	W 2-1	53.6	1771	1481	72.24%	18.87%	8.90%	+1.64	+2.5	38
2011-11-27	@ FC Copenhagen	L 1-2	53.6	1481	1771	8.90%	18.87%	72.24%	-1.64	-2.5	6
2011-11-27	Lyngby	W 3-1	54.8	1595	1548	48.32%	25.65%	26.03%	+0.42	+12.5	21
2011-11-27	@ Sonderjyske	L 1-3	54.8	1548	1595	26.03%	25.65%	48.32%	-0.42	-12.5	12
2011-11-27	Nordsjaelland	L 1-2	65.5	1673	1719	35.48%	26.24%	38.28%	-0.05	-9.2	23
2011-11-27	@ Silkeborg	W 2-1	65.5	1719	1673	38.28%	26.24%	35.48%	+0.05	+9.2	34
2011-11-28	Horsens	L 0-1	60.2	1653	1670	39.67%	26.21%	34.12%	+0.10	-10.6	17
2011-11-28	@ Brondby	W 1-0	60.2	1670	1653	34.12%	26.21%	39.67%	-0.10	+10.6	26
2011-12-03	Aalborg	W 4-2	64.4	1664	1670	41.13%	26.17%	32.70%	+0.15	+13.4	26
2011-12-03	@ Silkeborg	L 2-4	64.4	1670	1664	32.70%	26.17%	41.13%	-0.15	-13.4	26
2011-12-04	Aarhus GF	D 0-0	67.8	1773	1699	51.68%	25.21%	23.11%	+0.56	-1.8	39
2011-12-04	@ FC Copenhagen	D 0-0	67.8	1699	1773	23.11%	25.21%	51.68%	-0.56	+1.8	29
2011-12-04	Brondby	D 1-1	67.4	1478	1642	21.57%	24.91%	53.52%	-0.64	+1.8	7
2011-12-04	@ HB Koge	D 1-1	67.4	1642	1478	53.52%	24.91%	21.57%	+0.64	-1.8	18
2011-12-04	Horsens	L 1-2	59.3	1536	1681	23.46%	25.27%	51.27%	-0.54	-6.6	12
2011-12-04	@ Lyngby	W 2-1	59.3	1681	1536	51.27%	25.27%	23.46%	+0.54	+6.6	29
2011-12-04	Midtjylland	D 0-0	67.3	1729	1673	49.37%	25.53%	25.10%	+0.46	-1.5	35
2011-12-04	@ Nordsjaelland	D 0-0	67.3	1673	1729	25.10%	25.53%	49.37%	-0.46	+1.5	30
2011-12-05	Odense	L 0-4	52.4	1608	1652	35.84%	26.24%	37.92%	-0.04	-35.1	21
2011-12-05	@ Sonderjyske	W 4-0	52.4	1652	1608	37.92%	26.24%	35.84%	+0.04	+35.1	25
2012-03-03	Nordsjaelland	D 1-1	72.0	1701	1727	38.37%	26.24%	35.39%	+0.05	-0.2	30
2012-03-03	@ Aarhus GF	D 1-1	72.0	1727	1701	35.39%	26.24%	38.37%	-0.05	+0.2	36
2012-03-04	FC Copenhagen	D 1-1	72.2	1657	1771	26.80%	25.74%	47.45%	-0.39	+1.1	27
2012-03-04	@ Aalborg	D 1-1	72.2	1771	1657	47.45%	25.74%	26.80%	+0.39	-1.1	40
2012-03-04	HB Koge	W 2-1	53.9	1687	1480	65.46%	21.73%	12.81%	+1.23	+3.7	32
2012-03-04	@ Horsens	L 1-2	53.9	1480	1687	12.81%	21.73%	65.46%	-1.23	-3.7	7
2012-03-04	Lyngby	L 1-2	69.3	1675	1529	59.54%	23.59%	16.87%	+0.92	-14.0	30
2012-03-04	@ Midtjylland	W 2-1	69.3	1529	1675	16.87%	23.59%	59.54%	-0.92	+14.0	15
2012-03-04	Sonderjyske	W 1-0	53.5	1640	1573	50.87%	25.33%	23.80%	+0.53	+7.1	21
2012-03-04	@ Brondby	L 0-1	53.5	1573	1640	23.80%	25.33%	50.87%	-0.53	-7.1	21
2012-03-05	Silkeborg	D 2-2	77.7	1687	1677	43.51%	26.05%	30.43%	+0.24	-0.5	26
2012-03-05	@ Odense	D 2-2	77.7	1677	1687	30.43%	26.05%	43.51%	-0.24	+0.5	27
2012-03-10	Nordsjaelland	L 0-1	60.0	1687	1727	36.37%	26.25%	37.38%	-0.02	-9.9	26
2012-03-10	@ Odense	W 1-0	60.0	1727	1687	37.38%	26.25%	36.37%	+0.02	+9.9	39
2012-03-11	Aarhus GF	D 0-0	66.7	1648	1700	34.64%	26.22%	39.14%	-0.08	+0.3	22
2012-03-11	@ Brondby	D 0-0	66.7	1700	1648	39.14%	26.22%	34.64%	+0.08	-0.3	31
2012-03-11	HB Koge	L 0-1	63.3	1677	1476	64.89%	21.94%	13.18%	+1.20	-16.0	27
2012-03-11	@ Silkeborg	W 1-0	63.3	1476	1677	13.18%	21.94%	64.89%	-1.20	+16.0	10
2012-03-11	Lyngby	W 1-0	51.6	1658	1543	56.32%	24.36%	19.31%	+0.76	+5.9	30
2012-03-11	@ Aalborg	L 0-1	51.6	1543	1658	19.31%	24.36%	56.32%	-0.76	-5.9	15
2012-03-11	Sonderjyske	W 2-0	47.2	1770	1566	65.20%	21.82%	12.97%	+1.21	+7.5	43
2012-03-11	@ FC Copenhagen	L 0-2	47.2	1566	1770	12.97%	21.82%	65.20%	-1.21	-7.5	21
2012-03-12	Horsens	W 4-1	58.9	1661	1691	37.80%	26.24%	35.95%	+0.03	+22.7	33
2012-03-12	@ Midtjylland	L 1-4	58.9	1691	1661	35.95%	26.24%	37.80%	-0.03	-22.7	32
2012-03-17	Horsens	L 1-3	64.8	1700	1668	46.34%	25.85%	27.81%	+0.35	-19.6	31
2012-03-17	@ Aarhus GF	W 3-1	64.8	1668	1700	27.81%	25.85%	46.34%	-0.35	+19.6	35
2012-03-18	Brondby	L 1-2	70.4	1737	1648	53.45%	24.92%	21.63%	+0.64	-12.7	39
2012-03-18	@ Nordsjaelland	W 2-1	70.4	1648	1737	21.63%	24.92%	53.45%	-0.64	+12.8	25
2012-03-18	Midtjylland	D 0-0	67.9	1778	1683	54.02%	24.82%	21.16%	+0.66	-2.1	44
2012-03-18	@ FC Copenhagen	D 0-0	67.9	1683	1778	21.16%	24.82%	54.02%	-0.66	+2.1	34
2012-03-18	Odense	W 1-0	61.5	1537	1677	24.03%	25.37%	50.60%	-0.51	+12.9	18
2012-03-18	@ Lyngby	L 0-1	61.5	1677	1537	50.60%	25.37%	24.03%	+0.51	-12.9	26
2012-03-18	Silkeborg	L 2-4	61.3	1558	1661	28.10%	25.87%	46.02%	-0.33	-11.9	21
2012-03-18	@ Sonderjyske	W 4-2	61.3	1661	1558	46.02%	25.87%	28.10%	+0.33	+11.9	30
2012-03-19	Aalborg	D 1-1	68.5	1492	1664	20.85%	24.75%	54.40%	-0.68	+1.9	11
2012-03-19	@ HB Koge	D 1-1	68.5	1664	1492	54.40%	24.75%	20.85%	+0.68	-1.9	31
2012-03-24	Sonderjyske	L 1-2	68.7	1662	1546	56.43%	24.34%	19.23%	+0.77	-13.4	31
2012-03-24	@ Aalborg	W 2-1	68.7	1546	1662	19.23%	24.34%	56.43%	-0.77	+13.4	24
2012-03-25	FC Copenhagen	D 0-0	67.5	1673	1776	28.21%	25.88%	45.91%	-0.33	+1.1	31
2012-03-25	@ Silkeborg	D 0-0	67.5	1776	1673	45.91%	25.88%	28.21%	+0.33	-1.1	45
2012-03-25	HB Koge	L 2-4	69.1	1664	1494	61.95%	22.90%	15.14%	+1.04	-22.5	26
2012-03-25	@ Odense	W 4-2	69.1	1494	1664	15.14%	22.90%	61.95%	-1.04	+22.5	14
2012-03-25	Lyngby	W 2-1	57.8	1661	1550	55.81%	24.47%	19.71%	+0.74	+5.7	28
2012-03-25	@ Brondby	L 1-2	57.8	1550	1661	19.71%	24.47%	55.81%	-0.74	-5.7	18
2012-03-25	Nordsjaelland	L 0-2	56.3	1688	1724	36.96%	26.25%	36.80%	+0.00	-18.9	35
2012-03-25	@ Horsens	W 2-0	56.3	1724	1688	36.80%	26.25%	36.96%	+0.00	+18.9	42
2012-03-26	Aarhus GF	L 0-2	57.7	1685	1681	42.76%	26.10%	31.14%	+0.21	-21.2	34
2012-03-26	@ Midtjylland	W 2-0	57.7	1681	1685	31.14%	26.10%	42.76%	-0.21	+21.2	34
2012-03-31	Aalborg	W 1-0	57.0	1669	1649	44.83%	25.97%	29.20%	+0.29	+8.4	38
2012-03-31	@ Horsens	L 0-1	57.0	1649	1669	29.20%	25.97%	44.83%	-0.29	-8.4	31
2012-04-01	FC Copenhagen	L 1-3	54.5	1545	1775	16.09%	23.30%	60.61%	-0.97	-8.1	18
2012-04-01	@ Lyngby	W 3-1	54.5	1775	1545	60.61%	23.30%	16.09%	+0.97	+8.1	48
2012-04-01	HB Koge	W 2-0	45.6	1743	1517	67.15%	21.09%	11.76%	+1.33	+6.8	45
2012-04-01	@ Nordsjaelland	L 0-2	45.6	1517	1743	11.76%	21.09%	67.15%	-1.33	-6.8	14
2012-04-01	Odense	W 1-0	56.7	1666	1642	45.43%	25.92%	28.65%	+0.31	+8.3	31
2012-04-01	@ Brondby	L 0-1	56.7	1642	1666	28.65%	25.92%	45.43%	-0.31	-8.3	26
2012-04-01	Silkeborg	D 2-2	77.4	1664	1674	40.70%	26.18%	33.12%	+0.14	-0.3	35
2012-04-01	@ Midtjylland	D 2-2	77.4	1674	1664	33.12%	26.18%	40.70%	-0.14	+0.3	32
2012-04-02	Sonderjyske	L 1-3	66.8	1702	1560	59.21%	23.68%	17.11%	+0.90	-24.1	34
2012-04-02	@ Aarhus GF	W 3-1	66.8	1560	1702	17.11%	23.68%	59.21%	-0.90	+24.1	27
2012-04-04	Midtjylland	L 1-2	65.6	1640	1664	38.80%	26.23%	34.97%	+0.07	-9.8	31
2012-04-04	@ Aalborg	W 2-1	65.6	1664	1640	34.97%	26.23%	38.80%	-0.07	+9.8	38
2012-04-05	Aarhus GF	W 2-1	64.1	1675	1678	41.68%	26.15%	32.17%	+0.17	+8.5	35
2012-04-05	@ Silkeborg	L 1-2	64.1	1678	1675	32.17%	26.15%	41.68%	-0.17	-8.5	34
2012-04-05	Brondby	W 3-1	57.1	1783	1675	55.58%	24.52%	19.90%	+0.73	+9.9	51
2012-04-05	@ FC Copenhagen	L 1-3	57.1	1675	1783	19.90%	24.52%	55.58%	-0.73	-9.9	31
2012-04-05	Lyngby	L 1-4	52.7	1510	1537	38.37%	26.24%	35.39%	+0.05	-23.8	14
2012-04-05	@ HB Koge	W 4-1	52.7	1537	1510	35.39%	26.24%	38.37%	-0.05	+23.9	21
2012-04-05	Nordsjaelland	W 1-0	64.2	1584	1750	21.34%	24.86%	53.80%	-0.65	+13.6	30
2012-04-05	@ Sonderjyske	L 0-1	64.2	1750	1584	53.80%	24.86%	21.34%	+0.65	-13.6	45
2012-04-06	Horsens	L 0-1	58.9	1633	1677	35.84%	26.24%	37.92%	-0.04	-9.8	26
2012-04-06	@ Odense	W 1-0	58.9	1677	1633	37.92%	26.24%	35.84%	+0.04	+9.8	41
2012-04-08	Nordsjaelland	D 1-1	71.9	1674	1737	33.27%	26.19%	40.54%	-0.13	+0.4	39
2012-04-08	@ Midtjylland	D 1-1	71.9	1737	1674	40.54%	26.19%	33.27%	+0.13	-0.4	46
2012-04-08	Silkeborg	W 3-1	62.2	1631	1683	34.67%	26.23%	39.10%	-0.08	+17.1	34
2012-04-08	@ Aalborg	L 1-3	62.2	1683	1631	39.10%	26.23%	34.67%	+0.08	-17.1	35
2012-04-09	FC Copenhagen	D 0-0	67.6	1669	1793	25.76%	25.62%	48.63%	-0.43	+1.4	35
2012-04-09	@ Aarhus GF	D 0-0	67.6	1793	1669	48.63%	25.62%	25.76%	+0.43	-1.4	52
2012-04-09	HB Koge	D 1-1	69.0	1665	1486	62.80%	22.64%	14.56%	+1.08	-2.9	32
2012-04-09	@ Brondby	D 1-1	69.0	1486	1665	14.56%	22.64%	62.80%	-1.08	+2.9	15
2012-04-09	Lyngby	D 0-0	66.0	1687	1560	57.62%	24.07%	18.31%	+0.82	-2.5	42
2012-04-09	@ Horsens	D 0-0	66.0	1560	1687	18.31%	24.07%	57.62%	-0.82	+2.5	22
2012-04-09	Sonderjyske	D 1-1	69.7	1623	1597	45.60%	25.91%	28.49%	+0.32	-0.9	27
2012-04-09	@ Odense	D 1-1	69.7	1597	1623	28.49%	25.91%	45.60%	-0.32	+0.9	31
2012-04-14	Odense	W 2-0	51.6	1674	1622	48.90%	25.58%	25.51%	+0.45	+14.2	42
2012-04-14	@ Midtjylland	L 0-2	51.6	1622	1674	25.51%	25.58%	48.90%	-0.45	-14.2	27
2012-04-15	Brondby	W 2-0	53.3	1685	1662	45.20%	25.94%	28.86%	+0.30	+15.7	45
2012-04-15	@ Horsens	L 0-2	53.3	1662	1685	28.86%	25.94%	45.20%	-0.30	-15.7	32
2012-04-15	FC Copenhagen	L 0-5	44.9	1489	1791	11.68%	21.04%	67.28%	-1.33	-15.8	15
2012-04-15	@ HB Koge	W 5-0	44.9	1791	1489	67.28%	21.04%	11.68%	+1.33	+15.8	55
2012-04-15	Silkeborg	W 2-1	61.7	1736	1666	51.17%	25.29%	23.54%	+0.54	+6.6	49
2012-04-15	@ Nordsjaelland	L 1-2	61.7	1666	1736	23.54%	25.29%	51.17%	-0.54	-6.6	35
2012-04-15	Sonderjyske	L 0-4	50.7	1563	1598	37.11%	26.25%	36.65%	+0.01	-36.0	22
2012-04-15	@ Lyngby	W 4-0	50.7	1598	1563	36.65%	26.25%	37.11%	-0.01	+36.0	34
2012-04-16	Aalborg	D 1-1	71.2	1671	1648	45.17%	25.94%	28.89%	+0.30	-0.9	36
2012-04-16	@ Aarhus GF	D 1-1	71.2	1648	1671	28.89%	25.94%	45.17%	-0.30	+0.9	35
2012-04-21	Nordsjaelland	L 0-2	53.8	1649	1743	29.20%	25.97%	44.83%	-0.29	-15.8	35
2012-04-21	@ Aalborg	W 2-0	53.8	1743	1649	44.83%	25.97%	29.20%	+0.29	+15.8	52
2012-04-22	HB Koge	W 2-1	53.4	1634	1473	61.12%	23.15%	15.72%	+1.00	+4.6	37
2012-04-22	@ Sonderjyske	L 1-2	53.4	1473	1634	15.72%	23.15%	61.12%	-1.00	-4.6	15
2012-04-22	Horsens	W 2-1	60.9	1807	1700	55.40%	24.56%	20.04%	+0.72	+5.8	58
2012-04-22	@ FC Copenhagen	L 1-2	60.9	1700	1807	20.04%	24.56%	55.40%	-0.72	-5.8	45
2012-04-22	Lyngby	W 3-0	44.9	1659	1527	58.22%	23.93%	17.85%	+0.85	+15.0	38
2012-04-22	@ Silkeborg	L 0-3	44.9	1527	1659	17.85%	23.93%	58.22%	-0.85	-15.0	22
2012-04-22	Midtjylland	L 0-2	55.5	1646	1688	36.12%	26.24%	37.64%	-0.03	-18.6	32
2012-04-22	@ Brondby	W 2-0	55.5	1688	1646	37.64%	26.24%	36.12%	+0.03	+18.6	45
2012-04-23	Aarhus GF	L 1-2	63.6	1608	1670	33.47%	26.20%	40.33%	-0.12	-8.8	27
2012-04-23	@ Odense	W 2-1	63.6	1670	1608	40.33%	26.20%	33.47%	+0.12	+8.8	39
2012-04-28	Aarhus GF	W 5-3	63.4	1759	1678	52.38%	25.10%	22.52%	+0.59	+9.3	55
2012-04-28	@ Nordsjaelland	L 3-5	63.4	1678	1759	22.52%	25.10%	52.38%	-0.59	-9.3	39
2012-04-29	Aalborg	W 3-0	46.7	1813	1633	62.94%	22.59%	14.47%	+1.09	+12.2	61
2012-04-29	@ FC Copenhagen	L 0-3	46.7	1633	1813	14.47%	22.59%	62.94%	-1.09	-12.2	35
2012-04-29	Brondby	D 3-3	80.5	1639	1627	43.65%	26.05%	30.30%	+0.24	-0.5	38
2012-04-29	@ Sonderjyske	D 3-3	80.5	1627	1639	30.30%	26.05%	43.65%	-0.24	+0.4	33
2012-04-29	Horsens	W 2-1	68.5	1469	1695	16.37%	23.41%	60.22%	-0.95	+14.1	18
2012-04-29	@ HB Koge	L 1-2	68.5	1695	1469	60.22%	23.41%	16.37%	+0.95	-14.1	45
2012-04-29	Midtjylland	L 1-2	57.6	1512	1707	18.78%	24.22%	57.00%	-0.79	-5.4	22
2012-04-29	@ Lyngby	W 2-1	57.6	1707	1512	57.00%	24.22%	18.78%	+0.79	+5.4	48
2012-04-30	Odense	D 1-1	70.8	1674	1600	51.75%	25.20%	23.05%	+0.56	-1.6	39
2012-04-30	@ Silkeborg	D 1-1	70.8	1600	1674	23.05%	25.20%	51.75%	-0.56	+1.6	28
2012-05-02	FC Copenhagen	W 1-0	61.6	1768	1825	34.07%	26.21%	39.72%	-0.10	+10.6	58
2012-05-02	@ Nordsjaelland	L 0-1	61.6	1825	1768	39.72%	26.21%	34.07%	+0.10	-10.6	61
2012-05-02	Lyngby	W 2-1	55.3	1669	1506	61.27%	23.11%	15.62%	+1.00	+4.6	42
2012-05-02	@ Aarhus GF	L 1-2	55.3	1506	1669	15.62%	23.11%	61.27%	-1.00	-4.5	22
2012-05-03	Aalborg	L 1-2	64.4	1601	1621	39.38%	26.22%	34.40%	+0.09	-9.9	28
2012-05-03	@ Odense	W 2-1	64.4	1621	1601	34.40%	26.22%	39.38%	-0.09	+9.9	38
2012-05-03	HB Koge	W 2-1	54.0	1712	1483	67.41%	20.99%	11.61%	+1.34	+3.3	51
2012-05-03	@ Midtjylland	L 1-2	54.0	1483	1712	11.61%	20.99%	67.41%	-1.34	-3.3	18
2012-05-03	Silkeborg	W 3-2	70.7	1628	1673	35.74%	26.24%	38.02%	-0.04	+9.2	36
2012-05-03	@ Brondby	L 2-3	70.7	1673	1628	38.02%	26.24%	35.74%	+0.04	-9.2	39
2012-05-03	Sonderjyske	W 5-0	51.3	1681	1638	47.68%	25.72%	26.60%	+0.40	+34.3	48
2012-05-03	@ Horsens	L 0-5	51.3	1638	1681	26.60%	25.72%	47.68%	-0.40	-34.3	38
2012-05-05	Nordsjaelland	L 0-2	46.6	1502	1779	13.07%	21.88%	65.05%	-1.21	-7.6	22
2012-05-05	@ Lyngby	W 2-0	46.6	1779	1502	65.05%	21.88%	13.07%	+1.21	+7.6	61
2012-05-06	Aarhus GF	L 1-3	52.5	1479	1674	18.86%	24.24%	56.90%	-0.79	-9.4	18
2012-05-06	@ HB Koge	W 3-1	52.5	1674	1479	56.90%	24.24%	18.86%	+0.79	+9.4	45
2012-05-06	Brondby	W 1-0	57.4	1630	1637	41.18%	26.17%	32.65%	+0.15	+9.2	41
2012-05-06	@ Aalborg	L 0-1	57.4	1637	1630	32.65%	26.17%	41.18%	-0.15	-9.1	36
2012-05-06	Horsens	L 0-1	59.3	1664	1715	34.87%	26.23%	38.90%	-0.07	-9.6	39
2012-05-06	@ Silkeborg	W 1-0	59.3	1715	1664	38.90%	26.23%	34.87%	+0.07	+9.6	51
2012-05-06	Odense	D 1-1	73.4	1814	1591	66.85%	21.21%	11.94%	+1.31	-3.3	62
2012-05-06	@ FC Copenhagen	D 1-1	73.4	1591	1814	11.94%	21.21%	66.85%	-1.31	+3.3	29
2012-05-07	Midtjylland	D 1-1	71.3	1604	1716	27.11%	25.77%	47.11%	-0.38	+1.1	39
2012-05-07	@ Sonderjyske	D 1-1	71.3	1716	1604	47.11%	25.77%	27.11%	+0.38	-1.1	52
2012-05-12	Midtjylland	W 2-1	64.2	1724	1715	43.43%	26.06%	30.51%	+0.24	+8.2	54
2012-05-12	@ Horsens	L 1-2	64.2	1715	1724	30.51%	26.06%	43.43%	-0.24	-8.2	52
2012-05-13	Aalborg	W 3-2	70.9	1494	1640	23.41%	25.27%	51.32%	-0.54	+11.7	25
2012-05-13	@ Lyngby	L 2-3	70.9	1640	1494	51.32%	25.27%	23.41%	+0.54	-11.7	41
2012-05-13	Brondby	W 5-1	53.7	1683	1628	49.33%	25.53%	25.14%	+0.46	+22.2	48
2012-05-13	@ Aarhus GF	L 1-5	53.7	1628	1683	25.14%	25.53%	49.33%	-0.46	-22.1	36
2012-05-13	FC Copenhagen	D 2-2	78.7	1605	1811	17.91%	23.95%	58.14%	-0.85	+1.7	40
2012-05-13	@ Sonderjyske	D 2-2	78.7	1811	1605	58.14%	23.95%	17.91%	+0.85	-1.7	63
2012-05-13	Silkeborg	L 1-3	52.0	1470	1654	19.73%	24.48%	55.80%	-0.74	-9.8	18
2012-05-13	@ HB Koge	W 3-1	52.0	1654	1470	55.80%	24.48%	19.73%	+0.74	+9.8	42
2012-05-14	Odense	D 0-0	68.2	1786	1594	64.04%	22.23%	13.73%	+1.15	-3.3	62
2012-05-14	@ Nordsjaelland	D 0-0	68.2	1594	1786	13.73%	22.23%	64.04%	-1.15	+3.3	30
2012-05-20	Aarhus GF	W 3-1	59.9	1733	1705	45.79%	25.89%	28.32%	+0.32	+13.4	57
2012-05-20	@ Horsens	L 1-3	59.9	1705	1733	28.32%	25.89%	45.79%	-0.32	-13.4	48
2012-05-20	FC Copenhagen	W 1-0	63.2	1706	1809	28.15%	25.88%	45.97%	-0.33	+11.9	55
2012-05-20	@ Midtjylland	L 0-1	63.2	1809	1706	45.97%	25.88%	28.15%	+0.33	-11.9	63
2012-05-20	HB Koge	W 1-0	46.8	1628	1460	61.78%	22.96%	15.27%	+1.03	+4.7	44
2012-05-20	@ Aalborg	L 0-1	46.8	1460	1628	15.27%	22.96%	61.78%	-1.03	-4.7	18
2012-05-20	Lyngby	W 4-0	43.9	1598	1506	53.74%	24.87%	21.39%	+0.65	+23.1	33
2012-05-20	@ Odense	L 0-4	43.9	1506	1598	21.39%	24.87%	53.74%	-0.65	-23.1	25
2012-05-20	Nordsjaelland	L 0-1	54.6	1606	1783	20.35%	24.63%	55.01%	-0.70	-6.2	36
2012-05-20	@ Brondby	W 1-0	54.6	1783	1606	55.01%	24.63%	20.35%	+0.70	+6.2	65
2012-05-20	Sonderjyske	D 1-1	70.7	1664	1607	49.55%	25.51%	24.94%	+0.47	-1.4	43
2012-05-20	@ Silkeborg	D 1-1	70.7	1607	1664	24.94%	25.51%	49.55%	-0.47	+1.4	41
2012-05-23	Aalborg	W 5-0	52.8	1608	1633	38.69%	26.23%	35.08%	+0.06	+42.6	44
2012-05-23	@ Sonderjyske	L 0-5	52.8	1633	1608	35.08%	26.23%	38.69%	-0.06	-42.6	44
2012-05-23	Brondby	W 1-0	57.1	1483	1600	26.52%	25.71%	47.78%	-0.40	+12.3	28
2012-05-23	@ Lyngby	L 0-1	57.1	1600	1483	47.78%	25.71%	26.52%	+0.40	-12.3	36
2012-05-23	Horsens	W 3-0	51.6	1789	1746	47.80%	25.71%	26.49%	+0.40	+21.2	68
2012-05-23	@ Nordsjaelland	L 0-3	51.6	1746	1789	26.49%	25.71%	47.80%	-0.40	-21.2	57
2012-05-23	Midtjylland	L 0-2	56.8	1692	1718	38.37%	26.24%	35.39%	+0.05	-19.5	48
2012-05-23	@ Aarhus GF	W 2-0	56.8	1718	1692	35.39%	26.24%	38.37%	-0.05	+19.5	58
2012-05-23	Odense	D 1-1	66.0	1455	1621	21.42%	24.88%	53.70%	-0.65	+1.8	19
2012-05-23	@ HB Koge	D 1-1	66.0	1621	1455	53.70%	24.88%	21.42%	+0.65	-1.8	34
2012-05-23	Silkeborg	W 2-1	59.8	1797	1663	58.46%	23.87%	17.67%	+0.86	+5.1	66
2012-05-23	@ FC Copenhagen	L 1-2	59.8	1663	1797	17.67%	23.87%	58.46%	-0.86	-5.1	43

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	2012-03-11	13.18%	HB Koge	1476	1	@ Silkeborg	1677	0
2	2012-03-25	15.14%	HB Koge	1494	4	@ Odense	1664	2
3	2011-10-30	15.26%	Lyngby	1545	1	@ Nordsjaelland	1713	0
4	2012-04-29	16.37%	@ HB Koge	1469	2	Horsens	1695	1
5	2012-03-04	16.87%	Lyngby	1529	2	@ Midtjylland	1675	1
6	2012-04-02	17.11%	Sonderjyske	1560	3	@ Aarhus GF	1702	1
7	2011-09-26	18.73%	Lyngby	1545	2	@ Aalborg	1666	1
8	2012-03-24	19.23%	Sonderjyske	1546	2	@ Aalborg	1662	1
9	2012-04-05	21.34%	@ Sonderjyske	1584	1	Nordsjaelland	1750	0
10	2011-10-24	21.56%	Nordsjaelland	1691	3	@ FC Copenhagen	1781	1
11	2012-03-18	21.63%	Brondby	1648	2	@ Nordsjaelland	1737	1
12	2011-10-17	23.07%	@ Horsens	1657	2	FC Copenhagen	1805	0
13	2012-05-13	23.41%	@ Lyngby	1494	3	Aalborg	1640	2
14	2011-08-28	23.47%	Sonderjyske	1639	4	@ Odense	1710	2
15	2011-11-20	23.74%	@ Brondby	1641	2	FC Copenhagen	1783	1
16	2012-03-18	24.03%	@ Lyngby	1537	1	Odense	1677	0
17	2011-11-21	25.52%	Silkeborg	1649	2	@ Aarhus GF	1701	0
18	2011-08-29	26.15%	Aarhus GF	1625	3	@ Horsens	1671	0
19	2012-05-23	26.52%	@ Lyngby	1483	1	Brondby	1600	0
20	2011-07-31	26.99%	Horsens	1652	4	@ Brondby	1691	1
21	2011-09-11	27.56%	Nordsjaelland	1655	2	@ Aalborg	1689	1
22	2011-11-19	27.75%	Odense	1650	1	@ Horsens	1682	0
23	2012-03-17	27.81%	Horsens	1668	3	@ Aarhus GF	1700	1
24	2012-05-20	28.15%	@ Midtjylland	1706	1	FC Copenhagen	1809	0
25	2011-09-25	28.52%	Midtjylland	1670	4	@ Odense	1695	1

Biggest Elo Changes

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

#	Date	Elo Δ	Winning Team				Losing Team				Tie %
#	Date	Elo Δ	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2012-05-23	42.59	@ Sonderjyske	5	1608	38.69%	Aalborg	0	1633	35.08%	26.23%
2	2012-04-15	36.03	Sonderjyske	4	1598	36.65%	@ Lyngby	0	1563	37.11%	26.25%
3	2011-12-05	35.12	Odense	4	1652	37.92%	@ Sonderjyske	0	1608	35.84%	26.24%
4	2012-05-03	34.32	@ Horsens	5	1681	47.68%	Sonderjyske	0	1638	26.60%	25.72%
5	2011-08-29	33.89	Aarhus GF	3	1625	26.15%	@ Horsens	0	1671	48.19%	25.66%
6	2011-08-21	31.81	@ HB Koge	3	1540	29.42%	Silkeborg	0	1632	44.60%	25.98%
7	2011-08-28	29.38	@ Nordsjaelland	4	1626	45.66%	Lyngby	0	1599	28.43%	25.90%
8	2011-09-11	28.25	@ Brondby	5	1647	54.02%	HB Koge	0	1552	21.16%	24.82%
9	2011-07-31	28.12	Horsens	4	1652	26.99%	@ Brondby	1	1691	47.25%	25.76%
10	2011-09-25	27.29	Midtjylland	4	1670	28.52%	@ Odense	1	1695	45.57%	25.91%
11	2011-11-06	26.36	@ Silkeborg	4	1623	30.30%	Midtjylland	1	1708	43.65%	26.05%
12	2011-10-17	24.78	@ Horsens	2	1657	23.07%	FC Copenhagen	0	1805	51.73%	25.20%
13	2012-04-02	24.14	Sonderjyske	3	1560	17.11%	@ Aarhus GF	1	1702	59.21%	23.68%
14	2012-04-05	23.85	Lyngby	4	1537	35.39%	@ HB Koge	1	1510	38.37%	26.24%
15	2011-11-21	23.62	Silkeborg	2	1649	25.52%	@ Aarhus GF	0	1701	48.89%	25.58%
16	2012-05-20	23.14	@ Odense	4	1598	53.74%	Lyngby	0	1506	21.39%	24.87%
17	2012-03-12	22.72	@ Midtjylland	4	1661	37.80%	Horsens	1	1691	35.95%	26.24%
18	2011-07-17	22.69	@ Horsens	3	1630	45.32%	HB Koge	0	1606	28.75%	25.93%
19	2012-03-25	22.45	HB Koge	4	1494	15.14%	@ Odense	2	1664	61.95%	22.90%
20	2012-05-13	22.15	@ Aarhus GF	5	1683	49.33%	Brondby	1	1628	25.14%	25.53%
21	2011-10-24	22.11	Nordsjaelland	3	1691	21.56%	@ FC Copenhagen	1	1781	53.54%	24.91%
22	2011-10-23	21.94	Horsens	4	1682	39.47%	@ Sonderjyske	1	1626	34.31%	26.22%
23	2011-11-27	21.71	Aarhus GF	2	1677	29.84%	@ Aalborg	0	1692	44.15%	26.01%
24	2012-05-23	21.24	@ Nordsjaelland	3	1789	47.80%	Horsens	0	1746	26.49%	25.71%
25	2012-03-26	21.17	Aarhus GF	2	1681	31.14%	@ Midtjylland	0	1685	42.76%	26.10%

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	2011-08-06	81.5	@ Horsens	3	1680	44.91%	Aalborg	3	1660	29.12%	25.96%
2	2012-04-29	80.5	@ Sonderjyske	3	1639	43.65%	Brondby	3	1627	30.30%	26.05%
3	2012-05-13	78.7	@ Sonderjyske	2	1605	17.91%	FC Copenhagen	2	1811	58.14%	23.95%
4	2011-07-23	78.3	@ FC Copenhagen	2	1741	47.44%	Odense	2	1701	26.82%	25.74%
5	2012-03-05	77.7	@ Odense	2	1687	43.51%	Silkeborg	2	1677	30.43%	26.05%
6	2011-07-30	77.5	@ Aarhus GF	2	1640	33.35%	Odense	2	1702	40.46%	26.19%
7	2011-07-17	77.4	@ Brondby	2	1682	47.52%	Aalborg	2	1641	26.74%	25.73%
8	2012-04-01	77.4	@ Midtjylland	2	1664	40.70%	Silkeborg	2	1674	33.12%	26.18%
9	2011-08-14	77.0	@ Brondby	2	1655	44.39%	Sonderjyske	2	1639	29.61%	26.00%
10	2011-09-19	74.0	@ Horsens	4	1656	35.27%	Odense	3	1704	38.49%	26.24%
11	2012-05-06	73.4	@ FC Copenhagen	1	1814	66.85%	Odense	1	1591	11.94%	21.21%
12	2011-10-02	72.9	@ FC Copenhagen	1	1808	56.15%	Aarhus GF	1	1694	19.45%	24.40%
13	2012-03-04	72.2	@ Aalborg	1	1657	26.80%	FC Copenhagen	1	1771	47.45%	25.74%
14	2011-11-26	72.1	Midtjylland	3	1663	31.94%	@ Odense	2	1662	41.93%	26.14%
15	2012-03-03	72.0	@ Aarhus GF	1	1701	38.37%	Nordsjaelland	1	1727	35.39%	26.24%
16	2012-04-08	71.9	@ Midtjylland	1	1674	33.27%	Nordsjaelland	1	1737	40.54%	26.19%
17	2011-10-31	71.6	@ Midtjylland	1	1710	55.31%	Sonderjyske	1	1604	20.11%	24.58%
18	2011-10-29	71.5	@ Horsens	1	1703	52.64%	Silkeborg	1	1621	22.30%	25.06%
19	2012-05-07	71.3	@ Sonderjyske	1	1604	27.11%	Midtjylland	1	1716	47.11%	25.77%
20	2012-04-16	71.2	@ Aarhus GF	1	1671	45.17%	Aalborg	1	1648	28.89%	25.94%
21	2011-11-07	71.1	@ Sonderjyske	1	1606	29.09%	Aarhus GF	1	1702	44.96%	25.96%
22	2012-05-13	70.9	@ Lyngby	3	1494	23.41%	Aalborg	2	1640	51.32%	25.27%
23	2011-08-14	70.8	@ Lyngby	1	1610	32.25%	Horsens	1	1680	41.60%	26.15%
24	2011-10-30	70.8	@ Brondby	1	1640	40.19%	Aalborg	1	1654	33.61%	26.20%
25	2012-04-30	70.8	@ Silkeborg	1	1674	51.75%	Odense	1	1600	23.05%	25.20%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2012-05-20	43.9	@ Odense	4	1598	53.74%	Lyngby	0	1506	21.39%	24.87%
2	2012-04-15	44.9	FC Copenhagen	5	1791	67.28%	@ HB Koge	0	1489	11.68%	21.04%
3	2012-04-22	44.9	@ Silkeborg	3	1659	58.22%	Lyngby	0	1527	17.85%	23.93%
4	2011-11-06	45.0	@ FC Copenhagen	3	1772	65.89%	Lyngby	0	1560	12.54%	21.57%
5	2011-10-30	45.1	@ Aarhus GF	2	1694	64.42%	HB Koge	0	1498	13.48%	22.10%
6	2012-04-01	45.6	@ Nordsjaelland	2	1743	67.15%	HB Koge	0	1517	11.76%	21.09%
7	2012-05-05	46.6	Nordsjaelland	2	1779	65.05%	@ Lyngby	0	1502	13.07%	21.88%
8	2012-04-29	46.7	@ FC Copenhagen	3	1813	62.94%	Aalborg	0	1633	14.47%	22.59%
9	2011-11-06	46.8	Nordsjaelland	2	1697	58.30%	@ HB Koge	0	1490	17.79%	23.91%
10	2012-05-20	46.8	@ Aalborg	1	1628	61.78%	HB Koge	0	1460	15.27%	22.96%
11	2012-03-11	47.2	@ FC Copenhagen	2	1770	65.20%	Sonderjyske	0	1566	12.97%	21.82%
12	2011-09-11	47.4	@ Brondby	5	1647	54.02%	HB Koge	0	1552	21.16%	24.82%
13	2011-08-14	48.7	@ Nordsjaelland	2	1620	50.85%	HB Koge	0	1553	23.81%	25.33%
14	2011-09-17	49.0	Aarhus GF	2	1672	51.67%	@ HB Koge	0	1524	23.12%	25.21%
15	2011-08-28	49.5	@ Nordsjaelland	4	1626	45.66%	Lyngby	0	1599	28.43%	25.90%
16	2011-07-17	49.8	@ Horsens	3	1630	45.32%	HB Koge	0	1606	28.75%	25.93%
17	2011-07-30	50.0	@ FC Copenhagen	2	1740	56.66%	Nordsjaelland	0	1622	19.05%	24.29%
18	2011-11-20	50.1	@ Nordsjaelland	2	1708	54.71%	Sonderjyske	0	1607	20.60%	24.69%
19	2012-04-15	50.7	Sonderjyske	4	1598	36.65%	@ Lyngby	0	1563	37.11%	26.25%
20	2011-09-18	50.9	@ FC Copenhagen	2	1790	56.00%	Aalborg	0	1678	19.57%	24.43%
21	2011-08-13	51.1	@ FC Copenhagen	2	1760	54.35%	Midtjylland	0	1663	20.88%	24.76%
22	2012-05-03	51.3	@ Horsens	5	1681	47.68%	Sonderjyske	0	1638	26.60%	25.72%
23	2012-03-11	51.6	@ Aalborg	1	1658	56.32%	Lyngby	0	1543	19.31%	24.36%
24	2012-04-14	51.6	@ Midtjylland	2	1674	48.90%	Odense	0	1622	25.51%	25.58%
25	2012-05-23	51.6	@ Nordsjaelland	3	1789	47.80%	Horsens	0	1746	26.49%	25.71%