2010-11 Superliga Season

198 games

Final

Champion

FC Copenhagen

81 points · 9th Title

Last Title: 2009-10

Relegated

Esbjerg

33 pts

Randers · 34 pts

Biggest Overachiever

FC Copenhagen

15.75 points above expected

81 points · 65.25 expected points

Biggest Disappointment

Randers

10.36 points below expected

34 points · 44.36 expected points

League Table

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

#	Team	GP	W	D	L	Pts	GF	GA	GD	SimPts	vsSim
1	FC Copenhagen Champion	33	25	6	2	81	77	29	+48	65.25	+15.75
2	Odense	33	16	7	10	55	55	41	+14	53.76	+1.24
3	Brondby	33	13	12	8	51	52	39	+13	49.35	+1.65
4	Midtjylland	33	13	10	10	49	50	42	+8	49.32	-0.32
5	Silkeborg	33	10	13	10	43	43	49	-6	40.72	+2.28
6	Nordsjaelland	33	10	9	14	39	38	50	-12	40.46	-1.46
7	Sonderjyske	33	11	6	16	39	32	46	-14	38.30	+0.70
8	Lyngby	33	10	8	15	38	42	52	-10	33.30	+4.70
9	Horsens	33	9	10	14	37	29	40	-11	37.17	-0.17
10	Aalborg	33	8	11	14	35	38	48	-10	41.71	-6.71
11	Randers Relegated	33	6	16	11	34	41	48	-7	44.36	-10.36
12	Esbjerg Relegated	33	7	12	14	33	36	49	-13	40.60	-7.60

Going into Phase 2, the championship group halved its Phase 1 points (rounded up); the relegation group kept its full Phase 1 points. Each group then played its own round-robin to determine final standings.

Top Overachievers & Disappointments

Teams that most beat — or most fell short of — their simulated point projections. A positive vsSim means the team accumulated more points than the model expected on average; a negative one means fewer.

Biggest Overachievers

#	Team	Actual	Sim	vsSim
1	FC Copenhagen	81	65.25	+15.75
2	Lyngby	38	33.30	+4.70
3	Silkeborg	43	40.72	+2.28
4	Brondby	51	49.35	+1.65
5	Odense	55	53.76	+1.24

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Randers	34	44.36	-10.36
2	Esbjerg	33	40.60	-7.60
3	Aalborg	35	41.71	-6.71
4	Nordsjaelland	39	40.46	-1.46
5	Midtjylland	49	49.32	-0.32

Top Streaks

Ranked by model unlikelihood — the product of pregame W/D/L probabilities over the games in each team's streak. A short streak by a poor team can outrank a longer one by a strong team since the poor team's per-game probabilities were lower going in. Unbeaten counts consecutive wins or ties; Winless counts consecutive losses or ties.

Most Unlikely Winning Streaks

#	Team	Games	Dates	Probability
1	FC Copenhagen	7	Sep 19 – Nov 7	1 in 56
2	Silkeborg	3	Sep 19 – Oct 3	1 in 49
3	Odense	4	Nov 1 – Nov 22	1 in 33
4	Sonderjyske	3	May 15 – May 25	1 in 28
5	Brondby	3	Jul 25 – Aug 8	1 in 24

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Brondby	3	Sep 19 – Oct 3	1 in 51
2	Esbjerg	4	Jul 17 – Aug 7	1 in 33
3	Aalborg	3	Sep 25 – Oct 16	1 in 25
4	Midtjylland	2	Sep 25 – Oct 2	1 in 13
5	Sonderjyske	4	Apr 20 – May 9	1 in 13

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Silkeborg	8	Dec 5 – Apr 20	1 in 45
2	FC Copenhagen	19	Jul 18 – Dec 4	1 in 43
3	Aalborg	7	Apr 10 – May 15	1 in 24
4	Brondby	7	Jul 25 – Sep 12	1 in 10
5	Esbjerg	5	Sep 19 – Oct 23	1 in 9

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Esbjerg	12	Sep 26 – Mar 13	1 in 116
2	Randers	10	Aug 22 – Nov 8	1 in 45
3	Midtjylland	6	Mar 12 – Apr 18	1 in 40
4	Silkeborg	8	Jul 18 – Sep 11	1 in 18
5	Aalborg	8	Oct 30 – Mar 12	1 in 15

Position Race

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

Recent Form

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

Team	Elo	Season Pts	Elo Δ (5)	Points (5)	Expected (5)	Actual − Exp
FC Copenhagen	1893	81	-11	8	9.8	-1.8
Odense	1781	55	+6	8	8.3	-0.3
Brondby	1763	51	+5	8	7.5	+0.5
Midtjylland	1733	49	+2	8	7.2	+0.8
Silkeborg	1673	43	-1	7	6.6	+0.4
Sonderjyske	1634	39	+4	9	5.9	+3.1
Nordsjaelland	1659	39	+1	8	6.1	+1.9
Lyngby	1622	38	+8	6	4.8	+1.2
Horsens	1641	37	-10	2	5.1	-3.1
Aalborg	1669	35	-9	4	6.5	-2.5
Randers	1674	34	-4	5	6.6	-1.6
Esbjerg	1656	33	+8	8	6.8	+1.2

Head-to-Head

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

Beat expectations Fell short Within expectations

Team	AAL	BRO	ESB	FC	HOR	LYN	MID	NOR	ODE	RAN	SIL	SON
Aalborg	—	1-0-2 3.61	0-2-1 4.44	0-1-2 2.09	0-2-1 4.45	3-0-0 4.57	1-1-1 3.21	1-2-0 3.81	0-0-3 3.10	2-1-0 3.53	0-2-1 4.34	0-0-3 4.46
Brondby	2-0-1 4.46	—	2-1-0 4.98	0-1-2 2.58	0-1-2 5.39	1-2-0 5.38	1-1-1 4.29	1-2-0 4.50	1-2-0 3.84	2-0-1 4.30	0-2-1 5.07	3-0-0 5.22
Esbjerg	1-2-0 3.62	0-1-2 3.12	—	0-1-2 2.27	2-1-0 4.13	1-1-1 4.76	0-1-2 3.44	2-1-0 4.10	0-0-3 2.91	0-2-1 3.88	1-2-0 4.21	0-0-3 4.09
FC Copenhagen	2-1-0 6.19	2-1-0 5.58	2-1-0 5.98	—	2-1-0 6.29	3-0-0 6.66	2-0-1 5.41	3-0-0 6.19	2-0-1 4.97	3-0-0 6.05	2-1-0 6.25	2-1-0 6.10
Horsens	1-2-0 3.61	2-1-0 2.75	0-1-2 3.91	0-1-2 2.01	—	2-0-1 4.10	0-0-3 3.30	0-1-2 3.63	2-1-0 2.79	0-2-1 3.62	1-0-2 3.67	1-1-1 3.71
Lyngby	0-0-3 3.49	0-2-1 2.75	1-1-1 3.31	0-0-3 1.72	1-0-2 3.95	—	2-1-0 2.59	2-0-1 3.55	1-0-2 2.38	0-2-1 3.01	1-2-0 3.27	2-0-1 3.68
Midtjylland	1-1-1 4.86	1-1-1 3.75	2-1-0 4.62	1-0-2 2.74	3-0-0 4.77	0-1-2 5.57	—	1-2-0 5.00	0-1-2 3.56	0-3-0 4.77	2-0-1 4.95	2-0-1 4.96
Nordsjaelland	0-2-1 4.24	0-2-1 3.58	0-1-2 3.94	0-0-3 2.09	2-1-0 4.43	1-0-2 4.50	0-2-1 3.09	—	2-0-1 2.93	2-0-1 3.65	2-0-1 4.11	1-1-1 4.40
Odense	3-0-0 4.99	0-2-1 4.21	3-0-0 5.21	1-0-2 3.13	0-1-2 5.33	2-0-1 5.82	2-1-0 4.49	1-0-2 5.19	—	2-1-0 5.06	0-2-1 5.10	2-0-1 5.02
Randers	0-1-2 4.52	1-0-2 3.75	1-2-0 4.17	0-0-3 2.19	1-2-0 4.43	1-2-0 5.09	0-3-0 3.31	1-0-2 4.40	0-1-2 3.03	—	1-2-0 4.06	0-3-0 4.67
Silkeborg	1-2-0 3.72	1-2-0 3.03	0-2-1 3.84	0-1-2 2.04	2-0-1 4.38	0-2-1 4.81	1-0-2 3.13	1-0-2 3.94	1-2-0 3.00	0-2-1 3.99	—	3-0-0 4.31
Sonderjyske	3-0-0 3.60	0-0-3 2.88	3-0-0 3.95	0-1-2 2.17	1-1-1 4.35	1-0-2 4.36	1-0-2 3.13	1-1-1 3.66	1-0-2 3.07	0-3-0 3.40	0-0-3 3.75	—

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	0.89	+9.9
Allowed	0.75	-18.0
Differential	0.95	+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	7.58%	6.31%	7.07%	3.28%	1.26%	0.51%	26.01%
1	6.31%	13.13%	9.85%	3.03%	0.76%	—	33.08%
2	7.07%	9.85%	6.57%	2.02%	0.25%	0.25%	26.01%
3	3.28%	3.03%	2.02%	2.53%	0.25%	—	11.11%
4	1.26%	0.76%	0.25%	0.25%	0.51%	—	3.03%
5+	0.51%	—	0.25%	—	—	—	0.76%
Total	26.01%	33.08%	26.01%	11.11%	3.03%	0.76%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.35	1.35	+0.00
SD	1.12	1.12	1.64
CV	0.84	0.84	—
Max	6	6	+6
Min	0	0	-6

Games Played: 198

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	18.18%	9.09%	12.12%	—	—	3.03%	42.42%
1	—	9.09%	12.12%	—	—	—	21.21%
2	6.06%	9.09%	3.03%	3.03%	—	—	21.21%
3	—	—	3.03%	3.03%	3.03%	—	9.09%
4	—	3.03%	3.03%	—	—	—	6.06%
5+	—	—	—	—	—	—	—
Total	24.24%	30.30%	33.33%	6.06%	3.03%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.15	1.45	-0.30
SD	1.25	1.30	1.61
CV	1.09	0.89	—
Max	4	6	+3
Min	0	0	-6

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	6.06%	6.06%	—	—	—	15.15%
1	3.03%	18.18%	6.06%	3.03%	—	—	30.30%
2	12.12%	12.12%	12.12%	3.03%	—	—	39.39%
3	3.03%	6.06%	—	3.03%	—	—	12.12%
4	3.03%	—	—	—	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	24.24%	42.42%	24.24%	9.09%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.58	1.18	+0.39
SD	1.00	0.92	1.43
CV	0.64	0.78	—
Max	4	3	+4
Min	0	0	-2

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.09	1.48	-0.39
SD	0.84	1.00	1.46
CV	0.77	0.68	—
Max	3	3	+3
Min	0	0	-3

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	2.33	0.88	+1.45
SD	1.19	0.89	1.60
CV	0.51	1.02	—
Max	5	3	+5
Min	0	0	-3

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	0.88	1.21	-0.33
SD	0.99	1.11	1.51
CV	1.13	0.92	—
Max	3	4	+3
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	3.03%	9.09%	3.03%	—	—	18.18%
1	18.18%	9.09%	21.21%	3.03%	—	—	51.52%
2	6.06%	3.03%	3.03%	3.03%	3.03%	—	18.18%
3	—	—	3.03%	6.06%	—	—	9.09%
4	—	—	—	—	3.03%	—	3.03%
5+	—	—	—	—	—	—	—
Total	27.27%	15.15%	36.36%	15.15%	6.06%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.27	1.58	-0.30
SD	0.98	1.23	1.26
CV	0.77	0.78	—
Max	4	4	+2
Min	0	0	-3

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.52	1.27	+0.24
SD	1.03	1.26	1.56
CV	0.68	0.99	—
Max	4	5	+4
Min	0	0	-3

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.15	1.52	-0.36
SD	1.09	1.20	1.75
CV	0.95	0.79	—
Max	4	4	+3
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	6.06%	6.06%	—	—	3.03%	18.18%
1	9.09%	12.12%	9.09%	3.03%	—	—	33.33%
2	6.06%	12.12%	3.03%	3.03%	—	—	24.24%
3	6.06%	6.06%	3.03%	3.03%	—	—	18.18%
4	—	3.03%	—	—	—	—	3.03%
5+	3.03%	—	—	—	—	—	3.03%
Total	27.27%	39.39%	21.21%	9.09%	—	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.67	1.24	+0.42
SD	1.34	1.15	1.97
CV	0.80	0.92	—
Max	6	5	+6
Min	0	0	-5

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.24	1.45	-0.21
SD	1.17	1.18	1.63
CV	0.94	0.81	—
Max	4	4	+4
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	3.03%	6.06%	3.03%	3.03%	—	21.21%
1	9.09%	18.18%	9.09%	—	3.03%	—	39.39%
2	3.03%	9.09%	15.15%	3.03%	—	—	30.30%
3	—	6.06%	—	—	—	—	6.06%
4	—	—	—	3.03%	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	18.18%	36.36%	30.30%	9.09%	6.06%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.30	1.48	-0.18
SD	0.98	1.09	1.42
CV	0.75	0.74	—
Max	4	4	+2
Min	0	0	-4

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	0.97	1.39	-0.42
SD	0.92	1.09	1.56
CV	0.95	0.78	—
Max	3	3	+3
Min	0	0	-3

Games Played: 33

Season Summary

Every team's regular-season finish compared against 100,000 simulations. Click any column header to sort. Luck is the team's actual points minus the sim's mean — positive means the team beat the model. Percentile is where the actual result fell in the team's sim distribution (e.g. 90% = the team did this well or better in only 10% of sims).

Team	Elo	Points	Avg	Luck	Percentile	Min	5th	Q1	Median	Q3	95th	Max
FC Copenhagen	1893	81	65.25	+15.75	98.0%	48	52	61	65	70	79	83
Odense	1781	55	53.76	+1.24	67.0%	36	43	48	53	57	67	71
Brondby	1763	51	49.35	+1.65	64.0%	34	39	44	49	53	61	68
Midtjylland	1733	49	49.32	-0.32	47.0%	29	38	45	50	55	59	64
Randers	1674	34	44.36	-10.36	9.0%	27	33	39	44	49	56	60
Silkeborg	1673	43	40.72	+2.28	68.0%	25	28	36	40	45	53	60
Aalborg	1669	35	41.71	-6.71	18.0%	30	31	37	41	45	53	67
Nordsjaelland	1659	39	40.46	-1.46	50.0%	23	30	37	39	45	50	58
Esbjerg	1656	33	40.60	-7.60	18.0%	27	29	35	41	45	53	60
Horsens	1641	37	37.17	-0.17	53.0%	24	25	32	37	42	49	56
Sonderjyske	1634	39	38.30	+0.70	54.0%	23	28	34	39	43	47	51
Lyngby	1622	38	33.30	+4.70	79.0%	18	22	28	33	38	44	50

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

+11.11%

Slight Edge

40.40%30.30%29.29%

Elo Value

Home Edge: 38.76 Elo pts.

167 Elo

0.006 goals per Elo point

0500

Scoring Tilt

Expected

+0.26 goals

Neutral

-2+0.23+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

1.5

One-Team Race

134610

Champion Preseason Odds

80%

FC Copenhagen, 1st of 12

LongshotFavorite

Title Margin

Expected

0.79/gm

Runaway

00.281.5/gm

Simulation-Based Surprises

How these are measured

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

Luck Spread: Standard deviation of the gap between each team's actual points and their simulated average points. The gold line is the spread the model expected from chance alone.
As Expected: under 5.57 * Some Luck: 5.57 to 8.36 * Lucky: 8.36 to 11.14 * Wild Swing: 11.14 and up.
Average Finish Error: Average gap between where each team was projected to finish and where they actually finished in the table.
Pinpoint: under 1.57 * Close: 1.57 to 2.36 * Off: 2.36 to 3.15 * Way Off: 3.15 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 1.04 * A Surprise: 1.04 to 1.66 * Several Surprises: 1.66 to 2.29 * Many Surprises: 2.29 and up.

Luck Spread

Expected

6.41 points

Some Luck

06.9717

Average Finish Error

Expected

2.33

01.974

Biggest Overachiever

Expected 95.83%

98.00%

FC Copenhagen

50100

Biggest Underachiever

Expected 4.17%

9.00%

Randers

050

Season Outliers

Expected

1 of 12

Minimal Outliers

01.26

Unexpected Relegations

Expected

2 of 2

Several Surprises

01.02

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

0.14

Even

00.120.5

Noll-Scully

Elo SD: 78.95

1.84

Strong Separation

0.651.351.61.92.5

Interquartile Edge

62%

Slight Edge

50%59%69%100%

Best vs. Worst

Baseline

83%

Clear Edge

50%83%100%

Close Games

Expected

67%

Very Frequent

0%64%100%

Blowouts

Expected

12%

Rare

0%13%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

0.63

Hard to Predict

00.632

Matchup Imbalance

0.28

Slight Separation

00.280.370.5

Strangeness

Expected

0.78

Very Predictable

01.002

Repeatability

0.60

Strong Carryover

00.30.50.631

Upset Rate

Expected

22%

Chalky

0%25%50%

Clear Favorite Upset Rate

Expected

22%

As Expected

0%21%50%

Calibration

How these are measured

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

Probability calibration: An all-in-one chi-square test of the model's probabilities. Matches are grouped by how confident the model was, and within each group the predicted and actual counts of home wins, draws, and away wins are compared. The p-value is plotted; above 0.05 means well-calibrated.
Miscalibrated: under 0.05 * Borderline: 0.05 to 0.1 * Well Calibrated: 0.1 to 0.5 * Excellent: 0.5 and up.
Calibration slope: Checks whether the spread of the probabilities is right. Each probability is turned into log-odds and a line is fit predicting the actual results. A slope of 1.00 is perfect; below 1 is overconfidence (favorites lost more than their odds implied); above 1 is under-confidence.
Overconfident: under 0.85 * Calibrated: 0.85 to 1.15 * Underconfident: 1.15 to 1.3 * Very Underconfident: 1.3 and up.
Calibration error (ECE): The average gap between the model's stated chances and how often the predicted result actually happened. Smaller is better. The gold line is the noise ceiling, the error luck alone can produce even with perfect probabilities; below it, the model's error is no larger than chance.
Well Within Noise: under 0.12 * Near Noise Ceiling: 0.12 to 0.19 * Above Noise: 0.19 to 0.25 * Well Above Noise: 0.25 and up.

Probability calibration

0.87

Excellent

0.010.050.10.51

Calibration slope

Ideal

1.11

Calibrated

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.089

Well Within Noise

00.1250.3

Final Table Odds

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

Team	1	2	3	4	5	6	7	8	9	10	11	12
FC Copenhagen	80.00%	12.00%	4.00%	3.00%	1.00%	—	—	—	—	—	—	—
Odense	10.00%	27.00%	27.00%	15.00%	11.00%	6.00%	2.00%	1.00%	—	—	1.00%	—
Brondby	1.00%	21.00%	19.00%	21.00%	11.00%	10.00%	4.00%	3.00%	8.00%	2.00%	—	—
Midtjylland	5.00%	22.00%	19.00%	12.00%	13.00%	8.00%	10.00%	4.00%	3.00%	3.00%	1.00%	—
Silkeborg	2.00%	2.00%	1.00%	10.00%	9.00%	12.00%	10.00%	13.00%	12.00%	13.00%	9.00%	7.00%
Nordsjaelland	—	1.00%	4.00%	2.00%	11.00%	16.00%	11.00%	12.00%	13.00%	10.00%	10.00%	10.00%
Sonderjyske	—	—	—	3.00%	8.00%	9.00%	9.00%	20.00%	10.00%	18.00%	13.00%	10.00%
Lyngby	—	—	1.00%	2.00%	2.00%	6.00%	2.00%	7.00%	9.00%	11.00%	19.00%	41.00%
Horsens	—	—	2.00%	7.00%	5.00%	8.00%	10.00%	9.00%	10.00%	13.00%	17.00%	19.00%
Aalborg	—	4.00%	8.00%	4.00%	10.00%	6.00%	17.00%	11.00%	14.00%	15.00%	11.00%	—
Randers	1.00%	7.00%	12.00%	13.00%	11.00%	12.00%	11.00%	10.00%	5.00%	6.00%	8.00%	4.00%
Esbjerg	1.00%	4.00%	3.00%	8.00%	8.00%	7.00%	14.00%	10.00%	16.00%	9.00%	11.00%	9.00%

Points Required Per Position

The empirical CDF of simulated point totals per finishing position. Each curve shows, for one position (1st, 2nd, ..., last), the spread of point totals teams accumulated across simulations. Reading the curve at the 50% mark gives the median points typically needed to finish at that position. Steep curves mean the position is tightly clustered around a particular point range; shallow curves mean the position came with a wide variety of point totals.

Next-Season Status

Across 100,000 regular-season simulations, the probability of each team's next-season status. Columns appear in best-to-worst outcome order: promotion-positive on the left, relegation-positive on the right. Cells with darker shading indicate higher likelihood.

Team	Same level	Direct relegation
Brondby	100%	—
FC Copenhagen	100%	—
Midtjylland	99.00%	1.00%
Odense	99.00%	1.00%
Aalborg	89.00%	11.00%
Randers	88.00%	12.00%
Silkeborg	84.00%	16.00%
Esbjerg	80.00%	20.00%
Nordsjaelland	80.00%	20.00%
Sonderjyske	77.00%	23.00%
Horsens	64.00%	36.00%
Lyngby	40.00%	60.00%

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
2010-07-17	Esbjerg	W 3-0	50.7	1759	1691	48.74%	29.63%	21.64%	+0.64	+9.2	3
2010-07-17	@ Odense	L 0-3	50.7	1691	1759	21.64%	29.63%	48.74%	-0.64	-9.2	0
2010-07-18	Brondby	W 3-2	71.2	1699	1726	35.66%	32.11%	32.23%	+0.07	+4.1	3
2010-07-18	@ Randers	L 2-3	71.2	1726	1699	32.23%	32.11%	35.66%	-0.07	-4.1	0
2010-07-18	FC Copenhagen	L 1-3	58.6	1664	1811	21.46%	29.53%	49.01%	-0.65	-5.4	0
2010-07-18	@ Sonderjyske	W 3-1	58.6	1811	1664	49.01%	29.53%	21.46%	+0.65	+5.4	3
2010-07-18	Midtjylland	L 0-2	55.7	1655	1706	32.26%	32.11%	35.62%	-0.07	-8.7	0
2010-07-18	@ Horsens	W 2-0	55.7	1706	1655	35.62%	32.11%	32.26%	+0.07	+8.7	3
2010-07-18	Silkeborg	W 4-1	57.6	1692	1676	41.71%	31.45%	26.84%	+0.33	+9.3	3
2010-07-18	@ Nordsjaelland	L 1-4	57.6	1676	1692	26.84%	31.45%	41.71%	-0.33	-9.3	0
2010-07-19	Aalborg	L 2-4	64.1	1619	1701	28.27%	31.72%	40.00%	-0.25	-6.1	0
2010-07-19	@ Lyngby	W 4-2	64.1	1701	1619	40.00%	31.72%	28.27%	+0.25	+6.1	3
2010-07-24	FC Copenhagen	L 1-2	62.7	1682	1817	22.58%	30.08%	47.34%	-0.57	-3.3	0
2010-07-24	@ Esbjerg	W 2-1	62.7	1817	1682	47.34%	30.08%	22.58%	+0.57	+3.3	6
2010-07-24	Silkeborg	W 2-0	52.7	1715	1667	46.10%	30.44%	23.46%	+0.52	+6.8	6
2010-07-24	@ Midtjylland	L 0-2	52.7	1667	1715	23.46%	30.44%	46.10%	-0.52	-6.8	0
2010-07-25	Brondby	L 0-2	57.7	1707	1722	37.34%	32.01%	30.64%	+0.14	-9.6	3
2010-07-25	@ Aalborg	W 2-0	57.7	1722	1707	30.64%	32.01%	37.34%	-0.14	+9.6	3
2010-07-25	Horsens	W 1-0	58.4	1613	1647	34.71%	32.14%	33.15%	+0.03	+4.7	3
2010-07-25	@ Lyngby	L 0-1	58.4	1647	1613	33.15%	32.14%	34.71%	-0.03	-4.7	0
2010-07-25	Sonderjyske	L 1-2	68.9	1701	1659	45.36%	30.64%	24.00%	+0.49	-5.5	3
2010-07-25	@ Nordsjaelland	W 2-1	68.9	1659	1701	24.00%	30.64%	45.36%	-0.49	+5.5	3
2010-07-26	Randers	D 1-1	70.6	1768	1703	48.34%	29.76%	21.90%	+0.62	-0.7	4
2010-07-26	@ Odense	D 1-1	70.6	1703	1768	21.90%	29.76%	48.34%	-0.62	+0.7	4
2010-07-31	Aalborg	D 1-1	71.7	1820	1697	55.82%	26.72%	17.45%	+0.96	-1.1	7
2010-07-31	@ FC Copenhagen	D 1-1	71.7	1697	1820	17.45%	26.72%	55.82%	-0.96	+1.1	4
2010-07-31	Esbjerg	W 3-0	53.3	1664	1679	37.39%	32.01%	30.60%	+0.14	+12.1	6
2010-07-31	@ Sonderjyske	L 0-3	53.3	1679	1664	30.60%	32.01%	37.39%	-0.14	-12.1	0
2010-08-01	Lyngby	D 2-2	74.9	1660	1618	45.26%	30.67%	24.07%	+0.48	-0.4	1
2010-08-01	@ Silkeborg	D 2-2	74.9	1618	1660	24.07%	30.67%	45.26%	-0.48	+0.4	4
2010-08-01	Midtjylland	W 1-0	58.4	1731	1721	40.88%	31.59%	27.53%	+0.29	+4.1	6
2010-08-01	@ Brondby	L 0-1	58.4	1721	1731	27.53%	31.59%	40.88%	-0.29	-4.1	6
2010-08-01	Nordsjaelland	L 0-2	58.3	1704	1696	40.64%	31.63%	27.73%	+0.28	-10.2	4
2010-08-01	@ Randers	W 2-0	58.3	1696	1704	27.73%	31.63%	40.64%	-0.28	+10.2	6
2010-08-02	Odense	W 1-0	63.4	1642	1767	23.47%	30.45%	46.08%	-0.52	+5.9	3
2010-08-02	@ Horsens	L 0-1	63.4	1767	1642	46.08%	30.45%	23.47%	+0.52	-5.9	4
2010-08-07	Midtjylland	L 0-3	54.2	1667	1717	32.26%	32.11%	35.63%	-0.07	-12.6	0
2010-08-07	@ Esbjerg	W 3-0	54.2	1717	1667	35.63%	32.11%	32.26%	+0.07	+12.6	9
2010-08-07	Silkeborg	D 0-0	64.8	1698	1659	44.87%	30.77%	24.36%	+0.46	-0.6	5
2010-08-07	@ Aalborg	D 0-0	64.8	1659	1698	24.36%	30.77%	44.87%	-0.46	+0.6	2
2010-08-08	Brondby	L 1-3	63.3	1706	1736	35.24%	32.13%	32.64%	+0.05	-8.0	6
2010-08-08	@ Nordsjaelland	W 3-1	63.3	1736	1706	32.64%	32.13%	35.24%	-0.05	+8.0	9
2010-08-08	FC Copenhagen	L 2-3	71.4	1761	1819	31.31%	32.06%	36.62%	-0.11	-4.0	4
2010-08-08	@ Odense	W 3-2	71.4	1819	1761	36.62%	32.06%	31.31%	+0.11	+4.0	10
2010-08-08	Randers	D 0-0	64.2	1648	1694	32.90%	32.13%	34.97%	-0.04	+0.1	4
2010-08-08	@ Horsens	D 0-0	64.2	1694	1648	34.97%	32.13%	32.90%	+0.04	-0.1	5
2010-08-08	Sonderjyske	W 1-0	60.0	1618	1676	31.27%	32.06%	36.67%	-0.11	+5.0	7
2010-08-08	@ Lyngby	L 0-1	60.0	1676	1618	36.67%	32.06%	31.27%	+0.11	-5.0	6
2010-08-14	Nordsjaelland	W 2-0	50.4	1823	1698	56.12%	26.58%	17.30%	+0.98	+5.0	13
2010-08-14	@ FC Copenhagen	L 0-2	50.4	1698	1823	17.30%	26.58%	56.12%	-0.98	-5.0	6
2010-08-14	Odense	L 1-3	60.9	1671	1757	27.70%	31.63%	40.67%	-0.28	-6.7	6
2010-08-14	@ Sonderjyske	W 3-1	60.9	1757	1671	40.67%	31.63%	27.70%	+0.28	+6.7	7
2010-08-15	Esbjerg	D 1-1	70.6	1743	1654	51.58%	28.58%	19.84%	+0.77	-0.9	10
2010-08-15	@ Brondby	D 1-1	70.6	1654	1743	19.84%	28.58%	51.58%	-0.77	+0.9	1
2010-08-15	Horsens	L 1-2	67.3	1660	1648	41.16%	31.55%	27.30%	+0.30	-5.1	2
2010-08-15	@ Silkeborg	W 2-1	67.3	1648	1660	27.30%	31.55%	41.16%	-0.30	+5.1	7
2010-08-15	Lyngby	W 2-1	60.9	1694	1623	49.09%	29.51%	21.40%	+0.65	+3.1	8
2010-08-15	@ Randers	L 1-2	60.9	1623	1694	21.40%	29.51%	49.09%	-0.65	-3.1	7
2010-08-16	Aalborg	W 2-1	63.4	1730	1698	43.93%	31.00%	25.07%	+0.42	+3.6	12
2010-08-16	@ Midtjylland	L 1-2	63.4	1698	1730	25.07%	31.00%	43.93%	-0.42	-3.6	5
2010-08-21	Esbjerg	L 0-2	59.0	1694	1655	44.91%	30.76%	24.33%	+0.47	-11.0	5
2010-08-21	@ Aalborg	W 2-0	59.0	1655	1694	24.33%	30.76%	44.91%	-0.47	+11.0	4
2010-08-21	Lyngby	W 3-0	45.5	1828	1620	65.94%	21.24%	12.82%	+1.47	+5.1	16
2010-08-21	@ FC Copenhagen	L 0-3	45.5	1620	1828	12.82%	21.24%	65.94%	-1.47	-5.1	7
2010-08-22	Horsens	W 2-0	53.6	1665	1653	41.07%	31.56%	27.37%	+0.30	+7.7	9
2010-08-22	@ Sonderjyske	L 0-2	53.6	1653	1665	27.37%	31.56%	41.07%	-0.30	-7.7	7
2010-08-22	Odense	D 2-2	76.3	1743	1764	36.40%	32.08%	31.52%	+0.10	-0.1	11
2010-08-22	@ Brondby	D 2-2	76.3	1764	1743	31.52%	32.08%	36.40%	-0.10	+0.1	8
2010-08-22	Randers	D 1-1	69.2	1655	1697	33.45%	32.14%	34.40%	-0.02	+0.0	3
2010-08-22	@ Silkeborg	D 1-1	69.2	1697	1655	34.40%	32.14%	33.45%	+0.02	-0.0	9
2010-08-23	Nordsjaelland	W 4-0	52.0	1733	1693	45.09%	30.71%	24.20%	+0.47	+13.2	15
2010-08-23	@ Midtjylland	L 0-4	52.0	1693	1733	24.20%	30.71%	45.09%	-0.47	-13.2	6
2010-08-28	Silkeborg	W 2-1	63.4	1666	1655	41.00%	31.57%	27.42%	+0.30	+3.8	7
2010-08-28	@ Esbjerg	L 1-2	63.4	1655	1666	27.42%	31.57%	41.00%	-0.30	-3.9	3
2010-08-29	Aalborg	D 0-0	64.5	1680	1683	38.96%	31.86%	29.19%	+0.21	-0.3	7
2010-08-29	@ Nordsjaelland	D 0-0	64.5	1683	1680	29.19%	31.86%	38.96%	-0.21	+0.3	6
2010-08-29	Brondby	D 3-3	79.9	1615	1743	23.29%	30.38%	46.34%	-0.53	+0.4	8
2010-08-29	@ Lyngby	D 3-3	79.9	1743	1615	46.34%	30.38%	23.29%	+0.53	-0.4	12
2010-08-29	FC Copenhagen	L 1-2	60.5	1645	1833	18.30%	27.45%	54.24%	-0.89	-2.7	7
2010-08-29	@ Horsens	W 2-1	60.5	1833	1645	54.24%	27.45%	18.30%	+0.89	+2.7	19
2010-08-29	Sonderjyske	D 0-0	64.8	1697	1672	42.91%	31.22%	25.87%	+0.38	-0.5	10
2010-08-29	@ Randers	D 0-0	64.8	1672	1697	25.87%	31.22%	42.91%	-0.38	+0.5	10
2010-08-30	Midtjylland	W 2-1	64.3	1764	1747	41.93%	31.41%	26.66%	+0.34	+3.8	11
2010-08-30	@ Odense	L 1-2	64.3	1747	1764	26.66%	31.41%	41.93%	-0.34	-3.8	15
2010-09-11	Nordsjaelland	L 0-1	64.7	1768	1679	51.48%	28.62%	19.90%	+0.76	-6.4	11
2010-09-11	@ Odense	W 1-0	64.7	1679	1768	19.90%	28.62%	51.48%	-0.76	+6.4	10
2010-09-11	Silkeborg	D 2-2	79.0	1836	1651	63.31%	22.78%	13.92%	+1.34	-1.0	20
2010-09-11	@ FC Copenhagen	D 2-2	79.0	1651	1836	13.92%	22.78%	63.31%	-1.34	+1.0	4
2010-09-12	Horsens	L 2-3	73.8	1684	1643	45.12%	30.71%	24.17%	+0.48	-5.2	6
2010-09-12	@ Aalborg	W 3-2	73.8	1643	1684	24.17%	30.71%	45.12%	-0.48	+5.2	10
2010-09-12	Lyngby	L 2-3	73.7	1670	1616	46.92%	30.20%	22.87%	+0.55	-5.4	7
2010-09-12	@ Esbjerg	W 3-2	73.7	1616	1670	22.87%	30.20%	46.92%	-0.55	+5.4	11
2010-09-12	Sonderjyske	W 3-1	58.3	1742	1673	48.96%	29.55%	21.49%	+0.65	+5.4	15
2010-09-12	@ Brondby	L 1-3	58.3	1673	1742	21.49%	29.55%	48.96%	-0.65	-5.4	10
2010-09-13	Randers	D 1-1	70.3	1743	1696	45.89%	30.50%	23.61%	+0.51	-0.6	16
2010-09-13	@ Midtjylland	D 1-1	70.3	1696	1743	23.61%	30.50%	45.89%	-0.51	+0.6	11
2010-09-18	Aalborg	L 2-3	73.6	1697	1678	42.08%	31.38%	26.53%	+0.34	-5.0	11
2010-09-18	@ Randers	W 3-2	73.6	1678	1697	26.53%	31.38%	42.08%	-0.34	+5.0	9
2010-09-19	Brondby	W 2-0	52.0	1835	1748	51.29%	28.69%	20.02%	+0.75	+5.9	23
2010-09-19	@ FC Copenhagen	L 0-2	52.0	1748	1835	20.02%	28.69%	51.29%	-0.75	-5.8	15
2010-09-19	Esbjerg	L 0-3	55.0	1648	1664	37.13%	32.03%	30.84%	+0.13	-13.9	10
2010-09-19	@ Horsens	W 3-0	55.0	1664	1648	30.84%	32.03%	37.13%	-0.13	+13.9	10
2010-09-19	Midtjylland	L 0-2	55.0	1667	1742	29.06%	31.84%	39.10%	-0.22	-8.0	10
2010-09-19	@ Sonderjyske	W 2-0	55.0	1742	1667	39.10%	31.84%	29.06%	+0.22	+8.0	19
2010-09-19	Odense	W 3-1	65.5	1652	1762	25.09%	31.00%	43.91%	-0.42	+9.3	7
2010-09-19	@ Silkeborg	L 1-3	65.5	1762	1652	43.91%	31.00%	25.09%	+0.42	-9.3	11
2010-09-20	Nordsjaelland	W 2-0	56.7	1621	1686	30.35%	31.99%	37.66%	-0.16	+9.6	14
2010-09-20	@ Lyngby	L 0-2	56.7	1686	1621	37.66%	31.99%	30.35%	+0.16	-9.6	10
2010-09-25	FC Copenhagen	L 0-3	53.4	1750	1841	27.21%	31.53%	41.26%	-0.31	-11.1	19
2010-09-25	@ Midtjylland	W 3-0	53.4	1841	1750	41.26%	31.53%	27.21%	+0.31	+11.1	26
2010-09-25	Sonderjyske	L 0-2	58.4	1683	1659	42.81%	31.24%	25.95%	+0.37	-10.6	9
2010-09-25	@ Aalborg	W 2-0	58.4	1659	1683	25.95%	31.24%	42.81%	-0.37	+10.6	13
2010-09-26	Horsens	W 3-0	50.6	1676	1634	45.30%	30.66%	24.04%	+0.48	+10.0	13
2010-09-26	@ Nordsjaelland	L 0-3	50.6	1634	1676	24.04%	30.66%	45.30%	-0.48	-10.0	10
2010-09-26	Randers	D 2-2	75.6	1678	1692	37.50%	32.00%	30.50%	+0.15	-0.1	11
2010-09-26	@ Esbjerg	D 2-2	75.6	1692	1678	30.50%	32.00%	37.50%	-0.15	+0.1	12
2010-09-26	Silkeborg	L 0-2	60.5	1742	1661	50.40%	29.04%	20.57%	+0.71	-11.9	15
2010-09-26	@ Brondby	W 2-0	60.5	1661	1742	20.57%	29.04%	50.40%	-0.71	+11.9	10
2010-09-27	Lyngby	W 3-1	56.1	1752	1631	55.68%	26.79%	17.53%	+0.96	+4.4	14
2010-09-27	@ Odense	L 1-3	56.1	1631	1752	17.53%	26.79%	55.68%	-0.96	-4.4	14
2010-10-02	Lyngby	L 1-2	70.7	1739	1626	54.59%	27.29%	18.11%	+0.91	-6.3	19
2010-10-02	@ Midtjylland	W 2-1	70.7	1626	1739	18.11%	27.29%	54.59%	-0.91	+6.3	17
2010-10-03	Horsens	L 0-1	64.4	1730	1624	53.68%	27.70%	18.62%	+0.86	-6.6	15
2010-10-03	@ Brondby	W 1-0	64.4	1624	1730	18.62%	27.70%	53.68%	-0.86	+6.6	13
2010-10-03	Nordsjaelland	D 1-1	69.3	1678	1686	38.31%	31.93%	29.76%	+0.18	-0.2	12
2010-10-03	@ Esbjerg	D 1-1	69.3	1686	1678	29.76%	31.93%	38.31%	-0.18	+0.2	14
2010-10-03	Randers	W 1-0	52.9	1852	1692	60.33%	24.43%	15.24%	+1.18	+2.3	29
2010-10-03	@ FC Copenhagen	L 0-1	52.9	1692	1852	15.24%	24.43%	60.33%	-1.18	-2.3	12
2010-10-03	Sonderjyske	W 3-1	60.4	1673	1670	39.95%	31.73%	28.31%	+0.25	+6.8	13
2010-10-03	@ Silkeborg	L 1-3	60.4	1670	1673	28.31%	31.73%	39.95%	-0.25	-6.8	13
2010-10-04	Odense	L 1-2	64.4	1673	1757	27.96%	31.67%	40.37%	-0.27	-3.9	9
2010-10-04	@ Aalborg	W 2-1	64.4	1757	1673	40.37%	31.67%	27.96%	+0.27	+3.9	17
2010-10-16	Aalborg	W 1-0	58.2	1663	1669	38.65%	31.89%	29.46%	+0.20	+4.3	16
2010-10-16	@ Sonderjyske	L 0-1	58.2	1669	1663	29.46%	31.89%	38.65%	-0.20	-4.3	9
2010-10-17	Brondby	D 1-1	69.6	1686	1723	34.22%	32.15%	33.63%	+0.01	-0.0	15
2010-10-17	@ Nordsjaelland	D 1-1	69.6	1723	1686	33.63%	32.15%	34.22%	-0.01	+0.0	16
2010-10-17	Esbjerg	D 1-1	68.7	1631	1678	32.73%	32.13%	35.14%	-0.05	+0.1	14
2010-10-17	@ Horsens	D 1-1	68.7	1678	1631	35.14%	32.13%	32.73%	+0.05	-0.1	13
2010-10-17	Odense	W 5-0	51.5	1854	1761	52.11%	28.37%	19.53%	+0.79	+13.4	32
2010-10-17	@ FC Copenhagen	L 0-5	51.5	1761	1854	19.53%	28.37%	52.11%	-0.79	-13.4	17
2010-10-17	Silkeborg	D 1-1	68.7	1633	1680	32.67%	32.13%	35.20%	-0.05	+0.1	18
2010-10-17	@ Lyngby	D 1-1	68.7	1680	1633	35.20%	32.13%	32.67%	+0.05	-0.1	14
2010-10-18	Midtjylland	D 1-1	69.7	1690	1733	33.32%	32.14%	34.53%	-0.03	+0.0	13
2010-10-18	@ Randers	D 1-1	69.7	1733	1690	34.53%	32.14%	33.32%	+0.03	-0.0	20
2010-10-23	Esbjerg	D 2-2	76.4	1733	1678	47.05%	30.17%	22.79%	+0.56	-0.5	21
2010-10-23	@ Midtjylland	D 2-2	76.4	1678	1733	22.79%	30.17%	47.05%	-0.56	+0.5	14
2010-10-24	FC Copenhagen	L 0-3	49.4	1680	1867	18.34%	27.48%	54.19%	-0.89	-7.8	14
2010-10-24	@ Silkeborg	W 3-0	49.4	1867	1680	54.19%	27.48%	18.34%	+0.89	+7.8	35
2010-10-24	Horsens	L 0-2	56.6	1633	1631	39.73%	31.76%	28.51%	+0.24	-10.0	18
2010-10-24	@ Lyngby	W 2-0	56.6	1631	1633	28.51%	31.76%	39.73%	-0.24	+10.0	17
2010-10-24	Nordsjaelland	W 2-0	55.4	1664	1686	36.34%	32.08%	31.58%	+0.10	+8.5	12
2010-10-24	@ Aalborg	L 0-2	55.4	1686	1664	31.58%	32.08%	36.34%	-0.10	-8.5	15
2010-10-24	Randers	W 2-1	63.2	1723	1690	44.09%	30.96%	24.95%	+0.43	+3.6	19
2010-10-24	@ Brondby	L 1-2	63.2	1690	1723	24.95%	30.96%	44.09%	-0.43	-3.6	13
2010-10-25	Sonderjyske	L 1-2	70.3	1747	1667	50.34%	29.06%	20.60%	+0.71	-6.0	17
2010-10-25	@ Odense	W 2-1	70.3	1667	1747	20.60%	29.06%	50.34%	-0.71	+6.0	19
2010-10-30	Aalborg	D 0-0	64.6	1686	1673	41.34%	31.52%	27.15%	+0.31	-0.4	14
2010-10-30	@ Randers	D 0-0	64.6	1673	1686	27.15%	31.52%	41.34%	-0.31	+0.4	13
2010-10-30	Lyngby	W 3-2	61.0	1875	1623	70.82%	18.28%	10.90%	+1.74	+1.3	38
2010-10-30	@ FC Copenhagen	L 2-3	61.0	1623	1875	10.90%	18.28%	70.82%	-1.74	-1.3	18
2010-10-31	Brondby	L 1-2	65.8	1678	1727	32.56%	32.12%	35.32%	-0.06	-4.4	14
2010-10-31	@ Esbjerg	W 2-1	65.8	1727	1678	35.32%	32.12%	32.56%	+0.06	+4.4	22
2010-10-31	Midtjylland	L 0-2	54.0	1641	1732	27.06%	31.50%	41.44%	-0.32	-7.6	17
2010-10-31	@ Horsens	W 2-0	54.0	1732	1641	41.44%	31.50%	27.06%	+0.32	+7.6	24
2010-10-31	Silkeborg	L 1-2	67.3	1673	1672	39.59%	31.78%	28.63%	+0.24	-5.0	19
2010-10-31	@ Sonderjyske	W 2-1	67.3	1672	1673	28.63%	31.78%	39.59%	-0.24	+5.0	17
2010-11-01	Odense	L 1-4	59.3	1678	1741	30.54%	32.01%	37.45%	-0.15	-10.2	15
2010-11-01	@ Nordsjaelland	W 4-1	59.3	1741	1678	37.45%	32.01%	30.54%	+0.15	+10.2	20
2010-11-06	Esbjerg	D 1-1	69.2	1673	1674	39.38%	31.81%	28.81%	+0.23	-0.3	14
2010-11-06	@ Aalborg	D 1-1	69.2	1674	1673	28.81%	31.81%	39.38%	-0.23	+0.3	15
2010-11-07	Horsens	W 4-0	44.9	1876	1633	69.85%	18.87%	11.27%	+1.69	+5.6	41
2010-11-07	@ FC Copenhagen	L 0-4	44.9	1633	1876	11.27%	18.87%	69.85%	-1.69	-5.6	17
2010-11-07	Midtjylland	D 2-2	76.2	1731	1740	38.20%	31.94%	29.86%	+0.18	-0.2	23
2010-11-07	@ Brondby	D 2-2	76.2	1740	1731	29.86%	31.94%	38.20%	-0.18	+0.2	25
2010-11-07	Nordsjaelland	W 1-0	57.7	1677	1668	40.82%	31.60%	27.58%	+0.29	+4.1	20
2010-11-07	@ Silkeborg	L 0-1	57.7	1668	1677	27.58%	31.60%	40.82%	-0.29	-4.1	15
2010-11-07	Sonderjyske	W 1-0	59.4	1621	1668	32.75%	32.13%	35.11%	-0.05	+4.9	21
2010-11-07	@ Lyngby	L 0-1	59.4	1668	1621	35.11%	32.13%	32.75%	+0.05	-4.9	19
2010-11-08	Randers	W 1-0	56.1	1751	1686	48.45%	29.72%	21.83%	+0.62	+3.4	23
2010-11-08	@ Odense	L 0-1	56.1	1686	1751	21.83%	29.72%	48.45%	-0.62	-3.4	14
2010-11-13	Aalborg	D 2-2	76.6	1740	1673	48.64%	29.66%	21.70%	+0.63	-0.5	26
2010-11-13	@ Midtjylland	D 2-2	76.6	1673	1740	21.70%	29.66%	48.64%	-0.63	+0.5	15
2010-11-13	Odense	L 1-2	64.6	1674	1755	28.37%	31.74%	39.90%	-0.25	-4.0	15
2010-11-13	@ Esbjerg	W 2-1	64.6	1755	1674	39.90%	31.74%	28.37%	+0.25	+4.0	26
2010-11-14	Brondby	W 2-1	68.3	1628	1731	25.73%	31.18%	43.08%	-0.39	+5.3	20
2010-11-14	@ Horsens	L 1-2	68.3	1731	1628	43.08%	31.18%	25.73%	+0.39	-5.3	23
2010-11-14	FC Copenhagen	D 3-3	82.3	1663	1882	16.30%	25.60%	58.10%	-1.07	+0.7	20
2010-11-14	@ Sonderjyske	D 3-3	82.3	1882	1663	58.10%	25.60%	16.30%	+1.07	-0.7	42
2010-11-14	Lyngby	W 2-1	61.9	1664	1626	44.66%	30.82%	24.51%	+0.46	+3.5	18
2010-11-14	@ Nordsjaelland	L 1-2	61.9	1626	1664	24.51%	30.82%	44.66%	-0.46	-3.5	21
2010-11-14	Silkeborg	W 4-0	53.2	1683	1681	39.62%	31.78%	28.60%	+0.24	+15.1	17
2010-11-14	@ Randers	L 0-4	53.2	1681	1683	28.60%	31.78%	39.62%	-0.24	-15.1	20
2010-11-20	Randers	D 3-3	79.0	1623	1698	29.05%	31.84%	39.11%	-0.22	+0.2	22
2010-11-20	@ Lyngby	D 3-3	79.0	1698	1623	39.11%	31.84%	29.05%	+0.22	-0.2	18
2010-11-21	Brondby	L 1-2	65.6	1674	1726	32.07%	32.11%	35.82%	-0.08	-4.3	15
2010-11-21	@ Aalborg	W 2-1	65.6	1726	1674	35.82%	32.11%	32.07%	+0.08	+4.3	26
2010-11-21	Esbjerg	D 1-1	69.1	1666	1670	38.91%	31.86%	29.23%	+0.21	-0.2	21
2010-11-21	@ Silkeborg	D 1-1	69.1	1670	1666	29.23%	31.86%	38.91%	-0.21	+0.2	16
2010-11-21	Horsens	L 0-3	56.5	1664	1633	43.83%	31.02%	25.15%	+0.42	-15.6	20
2010-11-21	@ Sonderjyske	W 3-0	56.5	1633	1664	25.15%	31.02%	43.83%	-0.42	+15.6	23
2010-11-21	Nordsjaelland	W 2-1	57.0	1881	1667	66.68%	20.80%	12.52%	+1.51	+1.7	45
2010-11-21	@ FC Copenhagen	L 1-2	57.0	1667	1881	12.52%	20.80%	66.68%	-1.51	-1.7	18
2010-11-22	Midtjylland	W 3-2	69.6	1759	1740	42.15%	31.37%	26.48%	+0.35	+3.5	29
2010-11-22	@ Odense	L 2-3	69.6	1740	1759	26.48%	31.37%	42.15%	-0.35	-3.5	26
2010-11-27	Silkeborg	W 2-1	61.7	1736	1666	49.03%	29.53%	21.44%	+0.65	+3.1	29
2010-11-27	@ Midtjylland	L 1-2	61.7	1666	1736	21.44%	29.53%	49.03%	-0.65	-3.1	21
2010-11-28	FC Copenhagen	L 0-3	49.5	1697	1883	18.45%	27.57%	53.97%	-0.88	-7.8	18
2010-11-28	@ Randers	W 3-0	49.5	1883	1697	53.97%	27.57%	18.45%	+0.88	+7.8	48
2010-11-28	Lyngby	D 0-0	64.2	1671	1623	46.06%	30.45%	23.48%	+0.52	-0.7	17
2010-11-28	@ Esbjerg	D 0-0	64.2	1623	1671	23.48%	30.45%	46.06%	-0.52	+0.7	23
2010-11-28	Odense	W 2-0	56.7	1730	1762	34.85%	32.14%	33.02%	+0.04	+8.8	29
2010-11-28	@ Brondby	L 0-2	56.7	1762	1730	33.02%	32.14%	34.85%	-0.04	-8.8	29
2010-11-28	Sonderjyske	D 1-1	69.0	1665	1649	41.83%	31.43%	26.74%	+0.33	-0.4	19
2010-11-28	@ Nordsjaelland	D 1-1	69.0	1649	1665	26.74%	31.43%	41.83%	-0.33	+0.4	21
2010-11-29	Aalborg	D 0-0	64.0	1648	1669	36.49%	32.07%	31.44%	+0.11	-0.1	24
2010-11-29	@ Horsens	D 0-0	64.0	1669	1648	31.44%	32.07%	36.49%	-0.11	+0.1	16
2010-12-04	Aalborg	W 6-0	52.3	1754	1670	50.88%	28.85%	20.27%	+0.73	+16.5	32
2010-12-04	@ Odense	L 0-6	52.3	1670	1754	20.27%	28.85%	50.88%	-0.73	-16.5	16
2010-12-04	Esbjerg	W 3-1	53.3	1891	1670	67.43%	20.35%	12.22%	+1.55	+2.8	51
2010-12-04	@ FC Copenhagen	L 1-3	53.3	1670	1891	12.22%	20.35%	67.43%	-1.55	-2.8	17
2010-12-05	Brondby	D 2-2	75.9	1663	1739	28.96%	31.83%	39.21%	-0.22	+0.2	22
2010-12-05	@ Silkeborg	D 2-2	75.9	1739	1663	39.21%	31.83%	28.96%	+0.22	-0.2	30
2010-12-05	Horsens	W 2-1	63.0	1665	1648	41.80%	31.44%	26.76%	+0.33	+3.8	22
2010-12-05	@ Nordsjaelland	L 1-2	63.0	1648	1665	26.76%	31.44%	41.80%	-0.33	-3.8	24
2010-12-05	Randers	D 1-1	69.0	1649	1690	33.64%	32.15%	34.21%	-0.01	+0.0	22
2010-12-05	@ Sonderjyske	D 1-1	69.0	1690	1649	34.21%	32.15%	33.64%	+0.01	-0.0	19
2011-03-05	Silkeborg	D 1-1	68.8	1653	1663	38.02%	31.96%	30.02%	+0.17	-0.2	17
2011-03-05	@ Aalborg	D 1-1	68.8	1663	1653	30.02%	31.96%	38.02%	-0.17	+0.2	23
2011-03-06	FC Copenhagen	W 2-0	61.2	1739	1894	20.84%	29.19%	49.97%	-0.69	+11.9	32
2011-03-06	@ Midtjylland	L 0-2	61.2	1894	1739	49.97%	29.19%	20.84%	+0.69	-11.9	51
2011-03-06	Lyngby	D 1-1	70.7	1739	1623	54.86%	27.17%	17.96%	+0.92	-1.0	31
2011-03-06	@ Brondby	D 1-1	70.7	1623	1739	17.96%	27.17%	54.86%	-0.92	+1.0	24
2011-03-06	Nordsjaelland	W 4-0	52.3	1690	1669	42.38%	31.33%	26.29%	+0.36	+14.1	22
2011-03-06	@ Randers	L 0-4	52.3	1669	1690	26.29%	31.33%	42.38%	-0.36	-14.1	22
2011-03-06	Sonderjyske	L 0-1	61.6	1667	1649	41.99%	31.40%	26.61%	+0.34	-5.5	17
2011-03-06	@ Esbjerg	W 1-0	61.6	1649	1667	26.61%	31.40%	41.99%	-0.34	+5.5	25
2011-03-07	Odense	W 2-1	69.4	1645	1770	23.46%	30.44%	46.09%	-0.52	+5.6	27
2011-03-07	@ Horsens	L 1-2	69.4	1770	1645	46.09%	30.44%	23.46%	+0.52	-5.6	32
2011-03-12	FC Copenhagen	L 0-1	53.1	1653	1882	15.69%	24.95%	59.36%	-1.14	-2.4	17
2011-03-12	@ Aalborg	W 1-0	53.1	1882	1653	59.36%	24.95%	15.69%	+1.14	+2.4	54
2011-03-12	Nordsjaelland	D 2-2	77.0	1751	1655	52.48%	28.21%	19.31%	+0.81	-0.7	33
2011-03-12	@ Midtjylland	D 2-2	77.0	1655	1751	19.31%	28.21%	52.48%	-0.81	+0.7	23
2011-03-13	Horsens	W 2-1	63.2	1663	1650	41.32%	31.52%	27.16%	+0.31	+3.8	26
2011-03-13	@ Silkeborg	L 1-2	63.2	1650	1663	27.16%	31.52%	41.32%	-0.31	-3.8	27
2011-03-13	Randers	L 1-3	62.3	1661	1704	33.42%	32.14%	34.44%	-0.02	-7.7	17
2011-03-13	@ Esbjerg	W 3-1	62.3	1704	1661	34.44%	32.14%	33.42%	+0.02	+7.7	25
2011-03-13	Sonderjyske	W 2-0	51.4	1738	1654	50.76%	28.90%	20.34%	+0.73	+6.0	34
2011-03-13	@ Brondby	L 0-2	51.4	1654	1738	20.34%	28.90%	50.76%	-0.73	-6.0	25
2011-03-14	Lyngby	W 2-0	49.2	1764	1624	57.95%	25.68%	16.37%	+1.07	+4.7	35
2011-03-14	@ Odense	L 0-2	49.2	1624	1764	16.37%	25.68%	57.95%	-1.07	-4.7	24
2011-03-19	Odense	D 1-1	70.0	1667	1769	25.90%	31.23%	42.87%	-0.38	+0.4	27
2011-03-19	@ Silkeborg	D 1-1	70.0	1769	1667	42.87%	31.23%	25.90%	+0.38	-0.4	36
2011-03-20	Aalborg	L 1-2	65.2	1620	1650	35.08%	32.13%	32.79%	+0.05	-4.6	24
2011-03-20	@ Lyngby	W 2-1	65.2	1650	1620	32.79%	32.13%	35.08%	-0.05	+4.6	20
2011-03-20	Brondby	W 3-1	56.2	1884	1743	58.06%	25.62%	16.32%	+1.07	+4.1	57
2011-03-20	@ FC Copenhagen	L 1-3	56.2	1743	1884	16.32%	25.62%	58.06%	-1.07	-4.1	34
2011-03-20	Esbjerg	L 1-2	67.0	1655	1654	39.68%	31.77%	28.55%	+0.24	-5.0	23
2011-03-20	@ Nordsjaelland	W 2-1	67.0	1654	1655	28.55%	31.77%	39.68%	-0.24	+5.0	20
2011-03-20	Randers	D 0-0	64.4	1646	1711	30.31%	31.98%	37.71%	-0.16	+0.2	28
2011-03-20	@ Horsens	D 0-0	64.4	1711	1646	37.71%	31.98%	30.31%	+0.16	-0.2	26
2011-03-21	Midtjylland	W 2-1	68.6	1648	1750	25.91%	31.23%	42.86%	-0.38	+5.3	28
2011-03-21	@ Sonderjyske	L 1-2	68.6	1750	1648	42.86%	31.23%	25.91%	+0.38	-5.3	33
2011-04-02	FC Copenhagen	D 1-1	72.3	1659	1888	15.66%	24.91%	59.43%	-1.14	+1.2	21
2011-04-02	@ Esbjerg	D 1-1	72.3	1888	1659	59.43%	24.91%	15.66%	+1.14	-1.2	58
2011-04-02	Odense	L 0-1	57.2	1655	1769	24.65%	30.87%	44.48%	-0.45	-3.8	20
2011-04-02	@ Aalborg	W 1-0	57.2	1769	1655	44.48%	30.87%	24.65%	+0.45	+3.8	39
2011-04-03	Nordsjaelland	D 0-0	63.8	1646	1650	38.92%	31.86%	29.22%	+0.21	-0.3	29
2011-04-03	@ Horsens	D 0-0	63.8	1650	1646	29.22%	31.86%	38.92%	-0.21	+0.3	24
2011-04-03	Silkeborg	D 2-2	76.6	1739	1668	49.28%	29.44%	21.28%	+0.66	-0.6	35
2011-04-03	@ Brondby	D 2-2	76.6	1668	1739	21.28%	29.44%	49.28%	-0.66	+0.6	28
2011-04-03	Sonderjyske	D 0-0	65.1	1711	1654	47.37%	30.07%	22.56%	+0.57	-0.8	27
2011-04-03	@ Randers	D 0-0	65.1	1654	1711	22.56%	30.07%	47.37%	-0.57	+0.7	29
2011-04-04	Lyngby	D 4-4	82.6	1745	1615	56.71%	26.29%	16.99%	+1.01	-0.6	34
2011-04-04	@ Midtjylland	D 4-4	82.6	1615	1745	16.99%	26.29%	56.71%	-1.01	+0.6	25
2011-04-09	Midtjylland	W 1-0	61.8	1668	1744	28.90%	31.82%	39.28%	-0.22	+5.3	31
2011-04-09	@ Silkeborg	L 0-1	61.8	1744	1668	39.28%	31.82%	28.90%	+0.22	-5.3	34
2011-04-09	Randers	W 3-1	54.9	1887	1711	62.36%	23.31%	14.33%	+1.29	+3.5	61
2011-04-09	@ FC Copenhagen	L 1-3	54.9	1711	1887	14.33%	23.31%	62.36%	-1.29	-3.5	27
2011-04-10	Brondby	D 1-1	70.4	1772	1739	44.14%	30.95%	24.91%	+0.43	-0.5	40
2011-04-10	@ Odense	D 1-1	70.4	1739	1772	24.91%	30.95%	44.14%	-0.43	+0.5	36
2011-04-10	Horsens	D 0-0	63.9	1651	1646	40.18%	31.70%	28.12%	+0.26	-0.3	21
2011-04-10	@ Aalborg	D 0-0	63.9	1646	1651	28.12%	31.70%	40.18%	-0.26	+0.3	30
2011-04-10	Nordsjaelland	L 0-2	57.3	1655	1651	40.02%	31.72%	28.26%	+0.26	-10.1	29
2011-04-10	@ Sonderjyske	W 2-0	57.3	1651	1655	28.26%	31.72%	40.02%	-0.26	+10.1	27
2011-04-11	Esbjerg	L 1-2	64.7	1616	1660	33.14%	32.14%	34.72%	-0.03	-4.4	25
2011-04-11	@ Lyngby	W 2-1	64.7	1660	1616	34.72%	32.14%	33.14%	+0.03	+4.4	24
2011-04-14	Midtjylland	W 1-0	63.0	1611	1739	23.23%	30.35%	46.41%	-0.53	+6.0	28
2011-04-14	@ Lyngby	L 0-1	63.0	1739	1611	46.41%	30.35%	23.23%	+0.53	-6.0	34
2011-04-16	Silkeborg	D 1-1	69.1	1664	1673	38.18%	31.94%	29.88%	+0.18	-0.2	25
2011-04-16	@ Esbjerg	D 1-1	69.1	1673	1664	29.88%	31.94%	38.18%	-0.18	+0.2	32
2011-04-17	Aalborg	L 1-2	70.3	1739	1651	51.45%	28.63%	19.92%	+0.76	-6.1	36
2011-04-17	@ Brondby	W 2-1	70.3	1651	1739	19.92%	28.63%	51.45%	-0.76	+6.0	24
2011-04-17	FC Copenhagen	L 1-3	55.7	1661	1891	15.64%	24.89%	59.47%	-1.14	-3.9	27
2011-04-17	@ Nordsjaelland	W 3-1	55.7	1891	1661	59.47%	24.89%	15.64%	+1.14	+3.9	64
2011-04-17	Lyngby	D 1-1	69.9	1707	1617	51.62%	28.56%	19.81%	+0.77	-0.9	28
2011-04-17	@ Randers	D 1-1	69.9	1617	1707	19.81%	28.56%	51.62%	-0.77	+0.9	29
2011-04-17	Sonderjyske	D 1-1	68.6	1647	1644	39.76%	31.76%	28.49%	+0.24	-0.3	31
2011-04-17	@ Horsens	D 1-1	68.6	1644	1647	28.49%	31.76%	39.76%	-0.24	+0.3	30
2011-04-18	Odense	D 1-1	70.0	1733	1772	33.94%	32.15%	33.92%	+0.00	+0.0	35
2011-04-18	@ Midtjylland	D 1-1	70.0	1772	1733	33.92%	32.15%	33.94%	+0.00	+0.0	41
2011-04-20	Randers	W 4-1	60.4	1657	1706	32.46%	32.12%	35.42%	-0.06	+11.3	27
2011-04-20	@ Aalborg	L 1-4	60.4	1706	1657	35.42%	32.12%	32.46%	+0.06	-11.3	28
2011-04-20	Sonderjyske	W 1-0	56.6	1674	1645	43.50%	31.09%	25.41%	+0.40	+3.8	35
2011-04-20	@ Silkeborg	L 0-1	56.6	1645	1674	25.41%	31.09%	43.50%	-0.40	-3.8	30
2011-04-21	Esbjerg	W 3-0	50.3	1733	1664	48.92%	29.56%	21.52%	+0.64	+9.1	39
2011-04-21	@ Brondby	L 0-3	50.3	1664	1733	21.52%	29.56%	48.92%	-0.64	-9.1	25
2011-04-21	FC Copenhagen	L 1-2	57.4	1618	1894	13.23%	21.84%	64.93%	-1.42	-1.8	29
2011-04-21	@ Lyngby	W 2-1	57.4	1894	1618	64.93%	21.84%	13.23%	+1.42	+1.8	67
2011-04-21	Horsens	W 1-0	54.8	1733	1646	51.26%	28.70%	20.03%	+0.75	+3.1	38
2011-04-21	@ Midtjylland	L 0-1	54.8	1646	1733	20.03%	28.70%	51.26%	-0.75	-3.1	31
2011-04-21	Nordsjaelland	L 1-2	71.2	1772	1657	54.87%	27.17%	17.96%	+0.92	-6.4	41
2011-04-21	@ Odense	W 2-1	71.2	1657	1772	17.96%	27.17%	54.87%	-0.92	+6.4	30
2011-04-24	Aalborg	D 3-3	79.2	1663	1668	38.73%	31.88%	29.39%	+0.20	-0.1	31
2011-04-24	@ Nordsjaelland	D 3-3	79.2	1668	1663	29.39%	31.88%	38.73%	-0.20	+0.2	28
2011-04-24	Midtjylland	L 0-1	58.3	1655	1736	28.29%	31.73%	39.98%	-0.25	-4.2	25
2011-04-24	@ Esbjerg	W 1-0	58.3	1736	1655	39.98%	31.73%	28.29%	+0.25	+4.2	41
2011-04-25	Brondby	L 0-4	55.0	1695	1742	32.68%	32.13%	35.19%	-0.05	-16.6	28
2011-04-25	@ Randers	W 4-0	55.0	1742	1695	35.19%	32.13%	32.68%	+0.05	+16.6	42
2011-04-25	Lyngby	W 2-0	52.2	1643	1616	43.21%	31.16%	25.63%	+0.39	+7.3	34
2011-04-25	@ Horsens	L 0-2	52.2	1616	1643	25.63%	31.16%	43.21%	-0.39	-7.3	29
2011-04-25	Odense	L 0-2	52.9	1641	1766	23.54%	30.47%	45.98%	-0.51	-6.8	30
2011-04-25	@ Sonderjyske	W 2-0	52.9	1766	1641	45.98%	30.47%	23.54%	+0.51	+6.8	44
2011-04-25	Silkeborg	W 2-0	47.2	1896	1678	67.18%	20.50%	12.32%	+1.54	+3.3	70
2011-04-25	@ FC Copenhagen	L 0-2	47.2	1678	1896	12.32%	20.50%	67.18%	-1.54	-3.3	35
2011-04-30	Midtjylland	W 2-0	57.9	1668	1741	29.43%	31.89%	38.69%	-0.20	+9.8	31
2011-04-30	@ Aalborg	L 0-2	57.9	1741	1668	38.69%	31.89%	29.43%	+0.20	-9.8	41
2011-05-01	Horsens	D 0-0	66.2	1759	1650	54.03%	27.55%	18.42%	+0.88	-1.1	43
2011-05-01	@ Brondby	D 0-0	66.2	1650	1759	18.42%	27.55%	54.03%	-0.88	+1.1	35
2011-05-01	Nordsjaelland	W 1-0	59.5	1609	1663	31.80%	32.09%	36.11%	-0.09	+5.0	32
2011-05-01	@ Lyngby	L 0-1	59.5	1663	1609	36.11%	32.09%	31.80%	+0.09	-5.0	31
2011-05-01	Randers	D 2-2	75.5	1674	1678	38.89%	31.87%	29.25%	+0.21	-0.2	36
2011-05-01	@ Silkeborg	D 2-2	75.5	1678	1674	29.25%	31.87%	38.89%	-0.21	+0.2	29
2011-05-01	Sonderjyske	W 3-0	44.0	1900	1634	72.17%	17.44%	10.39%	+1.82	+3.8	73
2011-05-01	@ FC Copenhagen	L 0-3	44.0	1634	1900	10.39%	17.44%	72.17%	-1.82	-3.9	30
2011-05-02	Esbjerg	W 1-0	53.8	1772	1651	55.66%	26.80%	17.54%	+0.96	+2.7	47
2011-05-02	@ Odense	L 0-1	53.8	1651	1772	17.54%	26.80%	55.66%	-0.96	-2.7	25
2011-05-06	Lyngby	W 2-1	60.8	1678	1614	48.29%	29.78%	21.94%	+0.62	+3.2	34
2011-05-06	@ Aalborg	L 1-2	60.8	1614	1678	21.94%	29.78%	48.29%	-0.62	-3.2	32
2011-05-08	FC Copenhagen	D 1-1	71.1	1758	1903	21.60%	29.61%	48.79%	-0.64	+0.7	44
2011-05-08	@ Brondby	D 1-1	71.1	1903	1758	48.79%	29.61%	21.60%	+0.64	-0.7	74
2011-05-08	Horsens	W 1-0	56.8	1678	1652	43.21%	31.16%	25.63%	+0.39	+3.9	32
2011-05-08	@ Randers	L 0-1	56.8	1652	1678	25.63%	31.16%	43.21%	-0.39	-3.9	35
2011-05-08	Nordsjaelland	W 2-0	54.4	1648	1658	38.07%	31.95%	29.98%	+0.17	+8.2	28
2011-05-08	@ Esbjerg	L 0-2	54.4	1658	1648	29.98%	31.95%	38.07%	-0.17	-8.2	31
2011-05-08	Silkeborg	D 0-0	66.2	1775	1674	53.08%	27.96%	18.96%	+0.84	-1.0	48
2011-05-08	@ Odense	D 0-0	66.2	1674	1775	18.96%	27.96%	53.08%	-0.84	+1.0	37
2011-05-09	Sonderjyske	W 2-1	60.2	1731	1630	53.00%	27.99%	19.01%	+0.83	+2.8	44
2011-05-09	@ Midtjylland	L 1-2	60.2	1630	1731	19.01%	27.99%	53.00%	-0.83	-2.8	30
2011-05-14	Odense	L 1-2	64.2	1682	1774	27.05%	31.50%	41.45%	-0.32	-3.8	32
2011-05-14	@ Randers	W 2-1	64.2	1774	1682	41.45%	31.50%	27.05%	+0.32	+3.8	51
2011-05-15	Aalborg	D 0-0	64.2	1656	1682	35.89%	32.10%	32.00%	+0.08	-0.1	29
2011-05-15	@ Esbjerg	D 0-0	64.2	1682	1656	32.00%	32.10%	35.89%	-0.08	+0.1	35
2011-05-15	Brondby	W 1-0	60.1	1733	1759	35.88%	32.10%	32.02%	+0.08	+4.6	47
2011-05-15	@ Midtjylland	L 0-1	60.1	1759	1733	32.02%	32.10%	35.88%	-0.08	-4.6	44
2011-05-15	Lyngby	W 1-0	55.9	1627	1611	41.80%	31.44%	26.77%	+0.33	+4.0	33
2011-05-15	@ Sonderjyske	L 0-1	55.9	1611	1627	26.77%	31.44%	41.80%	-0.33	-4.0	32
2011-05-15	Silkeborg	W 3-2	70.3	1650	1675	35.86%	32.10%	32.03%	+0.08	+4.1	34
2011-05-15	@ Nordsjaelland	L 2-3	70.3	1675	1650	32.03%	32.10%	35.86%	-0.08	-4.1	37
2011-05-16	FC Copenhagen	D 1-1	72.8	1648	1903	14.28%	23.25%	62.46%	-1.29	+1.4	36
2011-05-16	@ Horsens	D 1-1	72.8	1903	1648	62.46%	23.25%	14.28%	+1.29	-1.4	75
2011-05-18	Randers	W 2-1	65.0	1654	1678	35.96%	32.10%	31.94%	+0.08	+4.3	37
2011-05-18	@ Nordsjaelland	L 1-2	65.0	1678	1654	31.94%	32.10%	35.96%	-0.08	-4.3	32
2011-05-19	Esbjerg	W 2-1	64.5	1631	1656	35.92%	32.10%	31.97%	+0.08	+4.3	36
2011-05-19	@ Sonderjyske	L 1-2	64.5	1656	1631	31.97%	32.10%	35.92%	-0.08	-4.3	29
2011-05-19	Horsens	D 3-3	81.6	1778	1649	56.57%	26.36%	17.06%	+1.00	-0.7	52
2011-05-19	@ Odense	D 3-3	81.6	1649	1778	17.06%	26.36%	56.57%	-1.00	+0.7	37
2011-05-19	Midtjylland	W 5-2	55.4	1901	1738	60.79%	24.18%	15.03%	+1.21	+4.5	78
2011-05-19	@ FC Copenhagen	L 2-5	55.4	1738	1901	15.03%	24.18%	60.79%	-1.21	-4.5	47
2011-05-20	Aalborg	W 4-3	72.5	1671	1682	37.96%	31.96%	30.08%	+0.17	+3.8	40
2011-05-20	@ Silkeborg	L 3-4	72.5	1682	1671	30.08%	31.96%	37.96%	-0.17	-3.8	35
2011-05-20	Brondby	L 1-2	61.4	1607	1754	21.46%	29.53%	49.01%	-0.65	-3.1	32
2011-05-20	@ Lyngby	W 2-1	61.4	1754	1607	49.01%	29.53%	21.46%	+0.65	+3.1	47
2011-05-25	FC Copenhagen	W 3-0	58.9	1777	1906	23.14%	30.32%	46.54%	-0.54	+16.3	55
2011-05-25	@ Odense	L 0-3	58.9	1906	1777	46.54%	30.32%	23.14%	+0.54	-16.3	78
2011-05-25	Horsens	W 2-1	63.5	1652	1650	39.78%	31.75%	28.46%	+0.25	+4.0	32
2011-05-25	@ Esbjerg	L 1-2	63.5	1650	1652	28.46%	31.75%	39.78%	-0.25	-4.0	37
2011-05-25	Lyngby	L 0-1	62.7	1675	1604	49.19%	29.47%	21.34%	+0.66	-6.2	40
2011-05-25	@ Silkeborg	W 1-0	62.7	1604	1675	21.34%	29.47%	49.19%	-0.66	+6.2	35
2011-05-25	Nordsjaelland	D 1-1	70.9	1757	1658	52.82%	28.07%	19.11%	+0.82	-0.9	48
2011-05-25	@ Brondby	D 1-1	70.9	1658	1757	19.11%	28.07%	52.82%	-0.82	+0.9	38
2011-05-25	Randers	D 2-2	76.5	1734	1674	47.62%	29.99%	22.39%	+0.59	-0.5	48
2011-05-25	@ Midtjylland	D 2-2	76.5	1674	1734	22.39%	29.99%	47.62%	-0.59	+0.5	33
2011-05-25	Sonderjyske	L 1-2	68.4	1678	1636	45.29%	30.66%	24.05%	+0.48	-5.5	35
2011-05-25	@ Aalborg	W 2-1	68.4	1636	1678	24.05%	30.66%	45.29%	-0.48	+5.5	39
2011-05-29	Aalborg	W 2-0	47.2	1890	1672	67.01%	20.60%	12.39%	+1.53	+3.3	81
2011-05-29	@ FC Copenhagen	L 0-2	47.2	1672	1890	12.39%	20.60%	67.01%	-1.53	-3.3	35
2011-05-29	Brondby	L 0-2	53.3	1641	1756	24.51%	30.82%	44.66%	-0.46	-7.0	39
2011-05-29	@ Sonderjyske	W 2-0	53.3	1756	1641	44.66%	30.82%	24.51%	+0.46	+7.0	51
2011-05-29	Esbjerg	D 2-2	75.4	1675	1656	42.08%	31.38%	26.53%	+0.34	-0.3	34
2011-05-29	@ Randers	D 2-2	75.4	1656	1675	26.53%	31.38%	42.08%	-0.34	+0.3	33
2011-05-29	Midtjylland	D 0-0	64.7	1659	1733	29.20%	31.86%	38.95%	-0.21	+0.3	39
2011-05-29	@ Nordsjaelland	D 0-0	64.7	1733	1659	38.95%	31.86%	29.20%	+0.21	-0.3	49
2011-05-29	Odense	W 2-0	61.1	1610	1793	18.60%	27.68%	53.72%	-0.87	+12.5	38
2011-05-29	@ Lyngby	L 0-2	61.1	1793	1610	53.72%	27.68%	18.60%	+0.87	-12.5	55
2011-05-29	Silkeborg	L 1-2	66.1	1646	1669	36.22%	32.09%	31.70%	+0.10	-4.7	37
2011-05-29	@ Horsens	W 2-1	66.1	1669	1646	31.70%	32.09%	36.22%	-0.10	+4.7	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	2011-04-21	17.96%	Nordsjaelland	1657	2	@ Odense	1772	1
2	2010-10-02	18.11%	Lyngby	1626	2	@ Midtjylland	1739	1
3	2011-05-29	18.60%	@ Lyngby	1610	2	Odense	1793	0
4	2010-10-03	18.62%	Horsens	1624	1	@ Brondby	1730	0
5	2010-09-11	19.90%	Nordsjaelland	1679	1	@ Odense	1768	0
6	2011-04-17	19.92%	Aalborg	1651	2	@ Brondby	1739	1
7	2010-09-26	20.57%	Silkeborg	1661	2	@ Brondby	1742	0
8	2010-10-25	20.60%	Sonderjyske	1667	2	@ Odense	1747	1
9	2011-03-06	20.84%	@ Midtjylland	1739	2	FC Copenhagen	1894	0
10	2011-05-25	21.34%	Lyngby	1604	1	@ Silkeborg	1675	0
11	2010-09-12	22.87%	Lyngby	1616	3	@ Esbjerg	1670	2
12	2011-05-25	23.14%	@ Odense	1777	3	FC Copenhagen	1906	0
13	2011-04-14	23.23%	@ Lyngby	1611	1	Midtjylland	1739	0
14	2011-03-07	23.46%	@ Horsens	1645	2	Odense	1770	1
15	2010-08-02	23.47%	@ Horsens	1642	1	Odense	1767	0
16	2010-07-25	24.00%	Sonderjyske	1659	2	@ Nordsjaelland	1701	1
17	2011-05-25	24.05%	Sonderjyske	1636	2	@ Aalborg	1678	1
18	2010-09-12	24.17%	Horsens	1643	3	@ Aalborg	1684	2
19	2010-08-21	24.33%	Esbjerg	1655	2	@ Aalborg	1694	0
20	2010-09-19	25.09%	@ Silkeborg	1652	3	Odense	1762	1
21	2010-11-21	25.15%	Horsens	1633	3	@ Sonderjyske	1664	0
22	2010-11-14	25.73%	@ Horsens	1628	2	Brondby	1731	1
23	2011-03-21	25.91%	@ Sonderjyske	1648	2	Midtjylland	1750	1
24	2010-09-25	25.95%	Sonderjyske	1659	2	@ Aalborg	1683	0
25	2010-09-18	26.53%	Aalborg	1678	3	@ Randers	1697	2

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	2011-04-25	16.59	Brondby	4	1742	35.19%	@ Randers	0	1695	32.68%	32.13%
2	2010-12-04	16.47	@ Odense	6	1754	50.88%	Aalborg	0	1670	20.27%	28.85%
3	2011-05-25	16.33	@ Odense	3	1777	23.14%	FC Copenhagen	0	1906	46.54%	30.32%
4	2010-11-21	15.63	Horsens	3	1633	25.15%	@ Sonderjyske	0	1664	43.83%	31.02%
5	2010-11-14	15.08	@ Randers	4	1683	39.62%	Silkeborg	0	1681	28.60%	31.78%
6	2011-03-06	14.13	@ Randers	4	1690	42.38%	Nordsjaelland	0	1669	26.29%	31.33%
7	2010-09-19	13.87	Esbjerg	3	1664	30.84%	@ Horsens	0	1648	37.13%	32.03%
8	2010-10-17	13.36	@ FC Copenhagen	5	1854	52.11%	Odense	0	1761	19.53%	28.37%
9	2010-08-23	13.20	@ Midtjylland	4	1733	45.09%	Nordsjaelland	0	1693	24.20%	30.71%
10	2010-08-07	12.59	Midtjylland	3	1717	35.63%	@ Esbjerg	0	1667	32.26%	32.11%
11	2011-05-29	12.51	@ Lyngby	2	1610	18.60%	Odense	0	1793	53.72%	27.68%
12	2010-07-31	12.13	@ Sonderjyske	3	1664	37.39%	Esbjerg	0	1679	30.60%	32.01%
13	2010-09-26	11.93	Silkeborg	2	1661	20.57%	@ Brondby	0	1742	50.40%	29.04%
14	2011-03-06	11.86	@ Midtjylland	2	1739	20.84%	FC Copenhagen	0	1894	49.97%	29.19%
15	2011-04-20	11.32	@ Aalborg	4	1657	32.46%	Randers	1	1706	35.42%	32.12%
16	2010-09-25	11.11	FC Copenhagen	3	1841	41.26%	@ Midtjylland	0	1750	27.21%	31.53%
17	2010-08-21	10.95	Esbjerg	2	1655	24.33%	@ Aalborg	0	1694	44.91%	30.76%
18	2010-09-25	10.58	Sonderjyske	2	1659	25.95%	@ Aalborg	0	1683	42.81%	31.24%
19	2010-11-01	10.21	Odense	4	1741	37.45%	@ Nordsjaelland	1	1678	30.54%	32.01%
20	2010-08-01	10.19	Nordsjaelland	2	1696	27.73%	@ Randers	0	1704	40.64%	31.63%
21	2011-04-10	10.07	Nordsjaelland	2	1651	28.26%	@ Sonderjyske	0	1655	40.02%	31.72%
22	2010-09-26	10.05	@ Nordsjaelland	3	1676	45.30%	Horsens	0	1634	24.04%	30.66%
23	2010-10-24	10.01	Horsens	2	1631	28.51%	@ Lyngby	0	1633	39.73%	31.76%
24	2011-04-30	9.83	@ Aalborg	2	1668	29.43%	Midtjylland	0	1741	38.69%	31.89%
25	2010-09-20	9.64	@ Lyngby	2	1621	30.35%	Nordsjaelland	0	1686	37.66%	31.99%

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	2011-04-04	82.6	@ Midtjylland	4	1745	56.71%	Lyngby	4	1615	16.99%	26.29%
2	2010-11-14	82.3	@ Sonderjyske	3	1663	16.30%	FC Copenhagen	3	1882	58.10%	25.60%
3	2011-05-19	81.6	@ Odense	3	1778	56.57%	Horsens	3	1649	17.06%	26.36%
4	2010-08-29	79.9	@ Lyngby	3	1615	23.29%	Brondby	3	1743	46.34%	30.38%
5	2011-04-24	79.2	@ Nordsjaelland	3	1663	38.73%	Aalborg	3	1668	29.39%	31.88%
6	2010-09-11	79.0	@ FC Copenhagen	2	1836	63.31%	Silkeborg	2	1651	13.92%	22.78%
7	2010-11-20	79.0	@ Lyngby	3	1623	29.05%	Randers	3	1698	39.11%	31.84%
8	2011-03-12	77.0	@ Midtjylland	2	1751	52.48%	Nordsjaelland	2	1655	19.31%	28.21%
9	2010-11-13	76.6	@ Midtjylland	2	1740	48.64%	Aalborg	2	1673	21.70%	29.66%
10	2011-04-03	76.6	@ Brondby	2	1739	49.28%	Silkeborg	2	1668	21.28%	29.44%
11	2011-05-25	76.5	@ Midtjylland	2	1734	47.62%	Randers	2	1674	22.39%	29.99%
12	2010-10-23	76.4	@ Midtjylland	2	1733	47.05%	Esbjerg	2	1678	22.79%	30.17%
13	2010-08-22	76.3	@ Brondby	2	1743	36.40%	Odense	2	1764	31.52%	32.08%
14	2010-11-07	76.2	@ Brondby	2	1731	38.20%	Midtjylland	2	1740	29.86%	31.94%
15	2010-12-05	75.9	@ Silkeborg	2	1663	28.96%	Brondby	2	1739	39.21%	31.83%
16	2010-09-26	75.6	@ Esbjerg	2	1678	37.50%	Randers	2	1692	30.50%	32.00%
17	2011-05-01	75.5	@ Silkeborg	2	1674	38.89%	Randers	2	1678	29.25%	31.87%
18	2011-05-29	75.4	@ Randers	2	1675	42.08%	Esbjerg	2	1656	26.53%	31.38%
19	2010-08-01	74.9	@ Silkeborg	2	1660	45.26%	Lyngby	2	1618	24.07%	30.67%
20	2010-09-12	73.8	Horsens	3	1643	24.17%	@ Aalborg	2	1684	45.12%	30.71%
21	2010-09-12	73.7	Lyngby	3	1616	22.87%	@ Esbjerg	2	1670	46.92%	30.20%
22	2010-09-18	73.6	Aalborg	3	1678	26.53%	@ Randers	2	1697	42.08%	31.38%
23	2011-05-16	72.8	@ Horsens	1	1648	14.28%	FC Copenhagen	1	1903	62.46%	23.25%
24	2011-05-20	72.5	@ Silkeborg	4	1671	37.96%	Aalborg	3	1682	30.08%	31.96%
25	2011-04-02	72.3	@ Esbjerg	1	1659	15.66%	FC Copenhagen	1	1888	59.43%	24.91%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2011-05-01	44.0	@ FC Copenhagen	3	1900	72.17%	Sonderjyske	0	1634	10.39%	17.44%
2	2010-11-07	44.9	@ FC Copenhagen	4	1876	69.85%	Horsens	0	1633	11.27%	18.87%
3	2010-08-21	45.5	@ FC Copenhagen	3	1828	65.94%	Lyngby	0	1620	12.82%	21.24%
4	2011-04-25	47.2	@ FC Copenhagen	2	1896	67.18%	Silkeborg	0	1678	12.32%	20.50%
5	2011-05-29	47.2	@ FC Copenhagen	2	1890	67.01%	Aalborg	0	1672	12.39%	20.60%
6	2011-03-14	49.2	@ Odense	2	1764	57.95%	Lyngby	0	1624	16.37%	25.68%
7	2010-10-24	49.4	FC Copenhagen	3	1867	54.19%	@ Silkeborg	0	1680	18.34%	27.48%
8	2010-11-28	49.5	FC Copenhagen	3	1883	53.97%	@ Randers	0	1697	18.45%	27.57%
9	2011-04-21	50.3	@ Brondby	3	1733	48.92%	Esbjerg	0	1664	21.52%	29.56%
10	2010-08-14	50.4	@ FC Copenhagen	2	1823	56.12%	Nordsjaelland	0	1698	17.30%	26.58%
11	2010-09-26	50.6	@ Nordsjaelland	3	1676	45.30%	Horsens	0	1634	24.04%	30.66%
12	2010-07-17	50.7	@ Odense	3	1759	48.74%	Esbjerg	0	1691	21.64%	29.63%
13	2011-03-13	51.4	@ Brondby	2	1738	50.76%	Sonderjyske	0	1654	20.34%	28.90%
14	2010-10-17	51.5	@ FC Copenhagen	5	1854	52.11%	Odense	0	1761	19.53%	28.37%
15	2010-08-23	52.0	@ Midtjylland	4	1733	45.09%	Nordsjaelland	0	1693	24.20%	30.71%
16	2010-09-19	52.0	@ FC Copenhagen	2	1835	51.29%	Brondby	0	1748	20.02%	28.69%
17	2011-04-25	52.2	@ Horsens	2	1643	43.21%	Lyngby	0	1616	25.63%	31.16%
18	2010-12-04	52.3	@ Odense	6	1754	50.88%	Aalborg	0	1670	20.27%	28.85%
19	2011-03-06	52.3	@ Randers	4	1690	42.38%	Nordsjaelland	0	1669	26.29%	31.33%
20	2010-07-24	52.7	@ Midtjylland	2	1715	46.10%	Silkeborg	0	1667	23.46%	30.44%
21	2010-10-03	52.9	@ FC Copenhagen	1	1852	60.33%	Randers	0	1692	15.24%	24.43%
22	2011-04-25	52.9	Odense	2	1766	45.98%	@ Sonderjyske	0	1641	23.54%	30.47%
23	2011-03-12	53.1	FC Copenhagen	1	1882	59.36%	@ Aalborg	0	1653	15.69%	24.95%
24	2010-11-14	53.2	@ Randers	4	1683	39.62%	Silkeborg	0	1681	28.60%	31.78%
25	2010-07-31	53.3	@ Sonderjyske	3	1664	37.39%	Esbjerg	0	1679	30.60%	32.01%