2009-10 Superliga Season

198 games

Final

Champion

FC Copenhagen

68 points · 8th Title

Last Title: 2008-09

Relegated

HB Koge

19 pts

Aarhus GF · 38 pts

Biggest Overachiever

Sonderjyske

7.75 points above expected

41 points · 33.25 expected points

Biggest Disappointment

HB Koge

8.94 points below expected

19 points · 27.94 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	21	5	7	68	61	22	+39	66.41	+1.59
2	Odense	33	17	8	8	59	46	34	+12	60.51	-1.51
3	Brondby	33	15	7	11	52	57	50	+7	50.71	+1.29
4	Esbjerg	33	13	11	9	50	48	43	+5	44.14	+5.86
5	Aalborg	33	13	9	11	48	36	30	+6	46.17	+1.83
6	Midtjylland	33	14	5	14	47	45	48	-3	46.80	+0.20
7	Nordsjaelland	33	12	7	14	43	40	41	-1	43.64	-0.64
8	Silkeborg	33	12	7	14	43	47	51	-4	46.89	-3.89
9	Sonderjyske	33	11	8	14	41	32	37	-5	33.25	+7.75
10	Randers	33	10	10	13	40	37	43	-6	41.45	-1.45
11	Aarhus GF Relegated	33	10	8	15	38	36	47	-11	41.94	-3.94
12	HB Koge Relegated	33	4	7	22	19	30	69	-39	27.94	-8.94

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	Sonderjyske	41	33.25	+7.75
2	Esbjerg	50	44.14	+5.86
3	Aalborg	48	46.17	+1.83
4	FC Copenhagen	68	66.41	+1.59
5	Brondby	52	50.71	+1.29

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	HB Koge	19	27.94	-8.94
2	Aarhus GF	38	41.94	-3.94
3	Silkeborg	43	46.89	-3.89
4	Odense	59	60.51	-1.51
5	Randers	40	41.45	-1.45

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	Esbjerg	6	Aug 16 – Sep 28	1 in 264
2	Randers	4	Apr 11 – Apr 26	1 in 135
3	Sonderjyske	3	May 3 – May 9	1 in 45
4	Aalborg	4	Aug 2 – Aug 19	1 in 33
5	FC Copenhagen	6	Nov 22 – Mar 21	1 in 28

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Silkeborg	6	Apr 11 – May 6	1 in 632
2	Randers	6	Aug 9 – Sep 20	1 in 105
3	Brondby	4	Nov 8 – Dec 6	1 in 69
4	Esbjerg	4	Mar 21 – Mar 31	1 in 58
5	Midtjylland	4	Aug 17 – Sep 12	1 in 30

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Randers	16	Nov 29 – May 9	1 in 7,567
2	Sonderjyske	5	Nov 22 – Mar 13	1 in 54
3	Aarhus GF	7	Jul 20 – Aug 29	1 in 42
4	Midtjylland	7	Mar 6 – Apr 5	1 in 39
5	Aalborg	8	Mar 21 – Apr 19	1 in 33

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Randers	17	Jul 19 – Nov 29	1 in 1,104
2	Brondby	8	Nov 8 – Mar 25	1 in 155
3	Silkeborg	8	Apr 1 – May 6	1 in 72
4	Odense	5	Mar 29 – Apr 14	1 in 34
5	HB Koge	14	Sep 13 – Mar 21	1 in 25

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	1860	68	+4	12	10.6	+1.4
Odense	1789	59	-7	9	9.4	-0.4
Brondby	1736	52	+16	10	6.6	+3.4
Esbjerg	1682	50	+13	8	7.6	+0.4
Aalborg	1697	48	-17	4	6.9	-2.9
Midtjylland	1705	47	-15	3	7.7	-4.7
Nordsjaelland	1682	43	-3	5	7.1	-2.1
Silkeborg	1657	43	-27	3	5.6	-2.6
Sonderjyske	1637	41	+13	9	4.9	+4.1
Randers	1695	40	+19	10	6.2	+3.8
Aarhus GF	1644	38	-14	6	6.8	-0.8
HB Koge	1536	19	+19	7	3.7	+3.3

Head-to-Head

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

Beat expectations Fell short Within expectations

Team	AAL	AG	BRO	ESB	FC	HK	MID	NOR	ODE	RAN	SIL	SON
Aalborg	—	1-1-1 4.28	1-0-2 3.52	0-2-1 4.31	1-0-2 2.77	2-1-0 5.62	2-0-1 4.31	2-1-0 4.54	1-1-1 2.88	1-1-1 4.53	1-1-1 4.13	1-1-1 5.36
Aarhus GF	1-1-1 3.99	—	1-0-2 3.30	1-1-1 3.69	1-1-1 2.27	1-1-1 5.74	0-1-2 4.08	2-0-1 4.07	0-1-2 2.79	1-1-1 4.13	1-1-1 3.85	1-0-2 4.97
Brondby	2-0-1 4.76	2-0-1 4.99	—	0-1-2 4.73	0-1-2 2.74	2-0-1 6.32	2-1-0 4.70	2-0-1 5.25	1-1-1 3.45	2-1-0 4.71	0-1-2 4.32	2-1-0 5.39
Esbjerg	1-2-0 3.96	1-1-1 4.58	2-1-0 3.54	—	0-1-2 2.49	3-0-0 5.90	1-1-1 3.72	1-1-1 4.25	0-1-2 2.83	1-1-1 4.64	2-1-0 3.91	1-1-1 4.85
FC Copenhagen	2-0-1 5.57	1-1-1 6.13	2-1-0 5.59	2-1-0 5.88	—	3-0-0 7.03	2-0-1 5.53	1-0-2 6.04	2-1-0 4.33	2-0-1 6.34	1-1-1 5.96	3-0-0 6.42
HB Koge	0-1-2 2.72	1-1-1 2.61	1-0-2 2.11	0-0-3 2.47	0-0-3 1.52	—	1-0-2 2.46	0-2-1 2.82	0-0-3 1.73	0-1-2 2.85	0-1-2 2.56	1-1-1 3.36
Midtjylland	1-0-2 3.95	2-1-0 4.19	0-1-2 3.58	1-1-1 4.55	1-0-2 2.80	2-0-1 5.91	—	1-0-2 4.65	1-1-1 2.73	2-0-1 4.70	2-0-1 4.10	1-1-1 5.33
Nordsjaelland	0-1-2 3.73	1-0-2 4.21	1-0-2 3.05	1-1-1 4.01	2-0-1 2.35	1-2-0 5.51	2-0-1 3.62	—	0-0-3 2.58	0-3-0 4.36	2-0-1 3.83	2-0-1 4.75
Odense	1-1-1 5.45	2-1-0 5.54	1-1-1 4.84	2-1-0 5.50	0-1-2 3.94	3-0-0 6.77	1-1-1 5.60	3-0-0 5.77	—	1-1-1 5.80	2-0-1 5.31	1-1-1 6.27
Randers	1-1-1 3.75	1-1-1 4.13	0-1-2 3.58	1-1-1 3.64	1-0-2 2.09	2-1-0 5.47	1-0-2 3.58	0-3-0 3.91	1-1-1 2.56	—	1-0-2 3.53	1-1-1 4.64
Silkeborg	1-1-1 4.14	1-1-1 4.42	2-1-0 3.94	0-1-2 4.36	1-1-1 2.41	2-1-0 5.81	1-0-2 4.17	1-0-2 4.44	1-0-2 3.00	2-0-1 4.74	—	0-1-2 5.52
Sonderjyske	1-1-1 2.95	2-0-1 3.32	0-1-2 2.93	1-1-1 3.44	0-0-3 2.02	1-1-1 4.93	1-1-1 2.98	1-0-2 3.53	1-1-1 2.15	1-1-1 3.63	2-1-0 2.81	—

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	0.66	+10.1
Allowed	0.66	-8.2
Differential	0.96	+6.6

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%	9.34%	7.83%	3.03%	1.77%	0.51%	29.04%
1	9.34%	12.12%	7.32%	3.54%	1.52%	0.51%	34.34%
2	7.83%	7.32%	4.04%	1.77%	1.01%	—	21.97%
3	3.03%	3.54%	1.77%	0.51%	—	0.25%	9.09%
4	1.77%	1.52%	1.01%	—	—	—	4.29%
5+	0.51%	0.51%	—	0.25%	—	—	1.26%
Total	29.04%	34.34%	21.97%	9.09%	4.29%	1.26%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.30	1.30	+0.00
SD	1.21	1.21	1.83
CV	0.93	0.93	—
Max	7	7	+6
Min	0	0	-6

Games Played: 198

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	6.06%	15.15%	—	—	—	30.30%
1	18.18%	18.18%	9.09%	3.03%	—	—	48.48%
2	6.06%	3.03%	—	—	—	—	9.09%
3	6.06%	—	3.03%	—	—	—	9.09%
4	—	—	—	—	—	—	—
5+	3.03%	—	—	—	—	—	3.03%
Total	42.42%	27.27%	27.27%	3.03%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.09	0.91	+0.18
SD	1.13	0.91	1.65
CV	1.03	1.01	—
Max	5	3	+5
Min	0	0	-2

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.09	1.42	-0.33
SD	1.16	1.25	1.76
CV	1.06	0.88	—
Max	4	5	+4
Min	0	0	-5

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.73	1.52	+0.21
SD	1.57	1.09	1.87
CV	0.91	0.72	—
Max	6	4	+5
Min	0	0	-3

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.45	1.30	+0.15
SD	1.30	1.19	1.75
CV	0.89	0.91	—
Max	4	4	+4
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	9.09%	9.09%	—	—	—	24.24%
1	6.06%	9.09%	—	—	—	—	15.15%
2	27.27%	6.06%	—	3.03%	—	—	36.36%
3	6.06%	3.03%	3.03%	—	—	—	12.12%
4	3.03%	3.03%	—	—	—	—	6.06%
5+	3.03%	3.03%	—	—	—	—	6.06%
Total	51.52%	33.33%	12.12%	3.03%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.85	0.67	+1.18
SD	1.60	0.82	1.93
CV	0.87	1.22	—
Max	7	3	+6
Min	0	0	-2

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	3.03%	3.03%	6.06%	3.03%	3.03%	24.24%
1	6.06%	15.15%	33.33%	3.03%	3.03%	6.06%	66.67%
2	—	—	—	3.03%	—	—	3.03%
3	3.03%	3.03%	—	—	—	—	6.06%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	15.15%	21.21%	36.36%	12.12%	6.06%	9.09%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.91	2.09	-1.18
SD	0.72	1.67	1.93
CV	0.80	0.80	—
Max	3	7	+3
Min	0	0	-6

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.36	1.45	-0.09
SD	1.22	1.25	1.88
CV	0.89	0.86	—
Max	4	4	+3
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	18.18%	9.09%	3.03%	3.03%	—	36.36%
1	9.09%	12.12%	6.06%	—	—	—	27.27%
2	12.12%	3.03%	3.03%	—	—	—	18.18%
3	6.06%	3.03%	—	3.03%	—	3.03%	15.15%
4	—	3.03%	—	—	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	30.30%	39.39%	18.18%	6.06%	3.03%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.21	1.24	-0.03
SD	1.19	1.32	1.81
CV	0.98	1.07	—
Max	4	6	+3
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	6.06%	9.09%	—	—	—	18.18%
1	15.15%	12.12%	3.03%	6.06%	—	—	36.36%
2	9.09%	15.15%	9.09%	—	—	—	33.33%
3	3.03%	9.09%	—	—	—	—	12.12%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	30.30%	42.42%	21.21%	6.06%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.39	1.03	+0.36
SD	0.93	0.88	1.39
CV	0.67	0.86	—
Max	3	3	+3
Min	0	0	-2

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	12.12%	9.09%	6.06%	6.06%	—	—	33.33%
1	6.06%	15.15%	6.06%	6.06%	3.03%	—	36.36%
2	3.03%	9.09%	3.03%	3.03%	—	—	18.18%
3	—	9.09%	—	—	—	—	9.09%
4	3.03%	—	—	—	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	24.24%	42.42%	15.15%	15.15%	3.03%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.12	1.30	-0.18
SD	1.08	1.10	1.63
CV	0.97	0.85	—
Max	4	4	+4
Min	0	0	-3

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.42	1.55	-0.12
SD	1.25	1.30	2.16
CV	0.88	0.84	—
Max	4	4	+4
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	15.15%	9.09%	—	—	—	33.33%
1	12.12%	15.15%	3.03%	12.12%	—	—	42.42%
2	9.09%	9.09%	—	—	3.03%	—	21.21%
3	—	—	—	—	—	—	—
4	3.03%	—	—	—	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	33.33%	39.39%	12.12%	12.12%	3.03%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.97	1.12	-0.15
SD	0.92	1.11	1.50
CV	0.95	0.99	—
Max	4	4	+4
Min	0	0	-2

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	1860	68	66.41	+1.59	62.0%	47	53	62	66	71	77	81
Odense	1789	59	60.51	-1.51	42.0%	36	49	56	60	66	72	79
Brondby	1736	52	50.71	+1.29	61.0%	35	39	46	51	54	61	71
Midtjylland	1705	47	46.80	+0.20	49.0%	27	33	41	48	53	59	65
Aalborg	1697	48	46.17	+1.83	68.0%	31	36	42	45	51	57	68
Randers	1695	40	41.45	-1.45	47.0%	24	27	36	41	46	54	61
Nordsjaelland	1682	43	43.64	-0.64	51.0%	24	33	39	43	48	56	62
Esbjerg	1682	50	44.14	+5.86	79.0%	25	30	39	44	49	57	65
Silkeborg	1657	43	46.89	-3.89	32.0%	27	34	42	47	52	58	68
Aarhus GF	1644	38	41.94	-3.94	36.0%	25	30	36	41	47	53	65
Sonderjyske	1637	41	33.25	+7.75	90.0%	14	23	28	33	37	46	55
HB Koge	1536	19	27.94	-8.94	10.0%	14	16	23	27	33	40	46

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

+8.08%

No Edge

42.42%23.23%34.34%

Elo Value

Home Edge: 28.14 Elo pts.

205 Elo

0.005 goals per Elo point

0600

Scoring Tilt

Expected

+0.16 goals

Neutral

-2+0.14+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

1.8

One-Team Race

134610

Champion Preseason Odds

71%

FC Copenhagen, 1st of 12

LongshotFavorite

Title Margin

Expected

0.27/gm

Runaway

00.240.5/gm

Simulation-Based Surprises

How these are measured

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

Luck Spread: Standard deviation of the gap between each team's actual points and their simulated average points. The gold line is the spread the model expected from chance alone.
As Expected: under 5.84 * Some Luck: 5.84 to 8.75 * Lucky: 8.75 to 11.67 * Wild Swing: 11.67 and up.
Average Finish Error: Average gap between where each team was projected to finish and where they actually finished in the table.
Pinpoint: under 1.41 * Close: 1.41 to 2.11 * Off: 2.11 to 2.81 * Way Off: 2.81 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 0.63 * A Surprise: 0.63 to 1.01 * Several Surprises: 1.01 to 1.39 * Many Surprises: 1.39 and up.

Luck Spread

Expected

4.25 points

As Expected

07.2918

Average Finish Error

Expected

1.17

Pinpoint

01.764

Biggest Overachiever

Expected 95.83%

90.00%

Sonderjyske

50100

Biggest Underachiever

Expected 4.17%

10.00%

HB Koge

050

Season Outliers

Expected

0 of 12

Minimal Outliers

01.26

Unexpected Relegations

Expected

1 of 2

A Surprise

00.62

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

0.13

Even

00.120.5

Noll-Scully

Elo SD: 80.25

1.57

Moderate Separation

0.651.351.61.92.5

Interquartile Edge

58%

Even

50%59%69%100%

Best vs. Worst

Baseline

87%

Strong Edge

50%83%100%

Close Games

Expected

60%

Frequent

0%59%100%

Blowouts

Expected

15%

Rare

0%17%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

0.62

Predictable

00.612

Matchup Imbalance

0.30

Slight Separation

00.280.370.5

Strangeness

Expected

0.35

Very Predictable

01.002

Repeatability

0.72

Near-Lock

00.30.50.631

Upset Rate

Expected

30%

Upset-Prone

0%27%50%

Clear Favorite Upset Rate

Expected

24%

Shaky Favorites

0%23%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 0.25 * Well Above Noise: 0.25 and up.

Probability calibration

0.06

Borderline

0.010.050.10.51

Calibration slope

Ideal

0.87

Calibrated

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.092

Well Within Noise

00.1230.3

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	71.00%	23.00%	2.00%	—	3.00%	1.00%	—	—	—	—	—	—
Odense	23.00%	49.00%	14.00%	8.00%	4.00%	1.00%	—	—	1.00%	—	—	—
Brondby	2.00%	9.00%	23.00%	16.00%	16.00%	12.00%	12.00%	4.00%	4.00%	1.00%	1.00%	—
Esbjerg	—	2.00%	8.00%	14.00%	10.00%	14.00%	11.00%	12.00%	9.00%	10.00%	8.00%	2.00%
Aalborg	1.00%	5.00%	8.00%	11.00%	13.00%	12.00%	18.00%	10.00%	13.00%	7.00%	2.00%	—
Midtjylland	—	5.00%	14.00%	16.00%	17.00%	7.00%	7.00%	12.00%	10.00%	4.00%	6.00%	2.00%
Nordsjaelland	1.00%	1.00%	10.00%	7.00%	5.00%	10.00%	19.00%	15.00%	13.00%	11.00%	7.00%	1.00%
Silkeborg	2.00%	5.00%	12.00%	12.00%	17.00%	15.00%	7.00%	12.00%	7.00%	6.00%	3.00%	2.00%
Sonderjyske	—	—	—	1.00%	—	2.00%	3.00%	8.00%	8.00%	22.00%	35.00%	21.00%
Randers	—	—	6.00%	6.00%	9.00%	10.00%	9.00%	14.00%	18.00%	10.00%	12.00%	6.00%
Aarhus GF	—	1.00%	3.00%	9.00%	6.00%	15.00%	12.00%	11.00%	12.00%	20.00%	7.00%	4.00%
HB Koge	—	—	—	—	—	1.00%	2.00%	2.00%	5.00%	9.00%	19.00%	62.00%

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%	—
Odense	100%	—
Brondby	99.00%	1.00%
Aalborg	98.00%	2.00%
Silkeborg	95.00%	5.00%
Midtjylland	92.00%	8.00%
Nordsjaelland	92.00%	8.00%
Esbjerg	90.00%	10.00%
Aarhus GF	89.00%	11.00%
Randers	82.00%	18.00%
Sonderjyske	44.00%	56.00%
HB Koge	19.00%	81.00%

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
2009-07-18	Esbjerg	D 0-0	68.1	1721	1666	49.53%	23.53%	26.94%	+0.40	-0.6	1
2009-07-18	@ Midtjylland	D 0-0	68.1	1666	1721	26.94%	23.53%	49.53%	-0.40	+0.6	1
2009-07-18	FC Copenhagen	W 2-0	62.2	1660	1823	22.24%	22.06%	55.70%	-0.65	+11.5	3
2009-07-18	@ Nordsjaelland	L 0-2	62.2	1823	1660	55.70%	22.06%	22.24%	+0.65	-11.5	0
2009-07-19	Odense	D 2-2	79.4	1744	1795	34.71%	24.57%	40.72%	-0.11	+0.1	1
2009-07-19	@ Brondby	D 2-2	79.4	1795	1744	40.72%	24.57%	34.71%	+0.11	-0.1	1
2009-07-19	Randers	W 1-0	62.0	1605	1695	29.81%	24.09%	46.10%	-0.30	+5.2	3
2009-07-19	@ Sonderjyske	L 0-1	62.0	1695	1605	46.10%	24.09%	29.81%	+0.30	-5.2	0
2009-07-19	Silkeborg	D 1-1	71.6	1582	1684	28.32%	23.83%	47.86%	-0.36	+0.5	1
2009-07-19	@ HB Koge	D 1-1	71.6	1684	1582	47.86%	23.83%	28.32%	+0.36	-0.5	1
2009-07-20	Aalborg	W 1-0	59.1	1671	1676	41.26%	24.54%	34.20%	+0.11	+4.2	3
2009-07-20	@ Aarhus GF	L 0-1	59.1	1676	1671	34.20%	24.54%	41.26%	-0.11	-4.2	0
2009-07-25	HB Koge	W 7-1	47.9	1811	1582	70.08%	16.47%	13.45%	+1.25	+7.1	3
2009-07-25	@ FC Copenhagen	L 1-7	47.9	1582	1811	13.45%	16.47%	70.08%	-1.25	-7.1	1
2009-07-25	Sonderjyske	W 3-1	54.9	1795	1611	65.33%	18.59%	16.07%	+1.03	+3.3	4
2009-07-25	@ Odense	L 1-3	54.9	1611	1795	16.07%	18.59%	65.33%	-1.03	-3.3	3
2009-07-26	Brondby	W 2-1	68.5	1667	1744	31.34%	24.29%	44.37%	-0.24	+4.8	4
2009-07-26	@ Esbjerg	L 1-2	68.5	1744	1667	44.37%	24.29%	31.34%	+0.24	-4.8	1
2009-07-26	Midtjylland	W 4-0	55.2	1684	1720	36.81%	24.64%	38.55%	-0.04	+16.3	4
2009-07-26	@ Silkeborg	L 0-4	55.2	1720	1684	38.55%	24.64%	36.81%	+0.04	-16.3	1
2009-07-27	Aarhus GF	L 2-3	73.2	1690	1675	44.06%	24.32%	31.61%	+0.21	-4.5	0
2009-07-27	@ Randers	W 3-2	73.2	1675	1690	31.61%	24.32%	44.06%	-0.21	+4.5	6
2009-08-01	Esbjerg	D 1-1	71.6	1607	1671	33.03%	24.46%	42.51%	-0.17	+0.2	4
2009-08-01	@ Sonderjyske	D 1-1	71.6	1671	1607	42.51%	24.46%	33.03%	+0.17	-0.2	5
2009-08-01	Silkeborg	D 1-1	74.3	1818	1700	57.63%	21.47%	20.90%	+0.71	-0.9	4
2009-08-01	@ FC Copenhagen	D 1-1	74.3	1700	1818	20.90%	21.47%	57.63%	-0.71	+0.9	5
2009-08-02	Aalborg	L 0-5	50.9	1575	1672	29.01%	23.95%	47.04%	-0.33	-16.0	1
2009-08-02	@ HB Koge	W 5-0	50.9	1672	1575	47.04%	23.95%	29.01%	+0.33	+16.0	3
2009-08-02	Midtjylland	W 3-1	60.6	1739	1704	46.87%	23.98%	29.15%	+0.31	+6.0	4
2009-08-02	@ Brondby	L 1-3	60.6	1704	1739	29.15%	23.98%	46.87%	-0.31	-6.0	1
2009-08-02	Randers	D 2-2	78.5	1672	1685	40.02%	24.60%	35.38%	+0.07	-0.1	4
2009-08-02	@ Nordsjaelland	D 2-2	78.5	1685	1672	35.38%	24.60%	40.02%	-0.07	+0.1	1
2009-08-03	Odense	D 2-2	79.5	1680	1798	26.54%	23.44%	50.02%	-0.44	+0.4	7
2009-08-03	@ Aarhus GF	D 2-2	79.5	1798	1680	50.02%	23.44%	26.54%	+0.44	-0.4	5
2009-08-08	Silkeborg	W 3-0	54.9	1672	1701	37.74%	24.64%	37.62%	-0.01	+12.3	7
2009-08-08	@ Nordsjaelland	L 0-3	54.9	1701	1672	37.62%	24.64%	37.74%	+0.01	-12.3	5
2009-08-09	Aalborg	L 0-2	60.6	1745	1688	49.83%	23.48%	26.69%	+0.41	-10.5	4
2009-08-09	@ Brondby	W 2-0	60.6	1688	1745	26.69%	23.48%	49.83%	-0.41	+10.5	6
2009-08-09	FC Copenhagen	L 0-1	53.6	1608	1817	18.43%	20.16%	61.41%	-0.88	-2.3	4
2009-08-09	@ Sonderjyske	W 1-0	53.6	1817	1608	61.41%	20.16%	18.43%	+0.88	+2.4	7
2009-08-09	HB Koge	W 2-1	58.5	1680	1559	57.97%	21.36%	20.67%	+0.72	+2.5	10
2009-08-09	@ Aarhus GF	L 1-2	58.5	1559	1680	20.67%	21.36%	57.97%	-0.72	-2.5	1
2009-08-09	Odense	L 1-2	62.9	1671	1798	25.70%	23.22%	51.08%	-0.48	-3.1	5
2009-08-09	@ Esbjerg	W 2-1	62.9	1798	1671	51.08%	23.22%	25.70%	+0.48	+3.1	8
2009-08-09	Randers	W 4-1	58.3	1698	1685	43.72%	24.36%	31.93%	+0.20	+9.1	4
2009-08-09	@ Midtjylland	L 1-4	58.3	1685	1698	31.93%	24.36%	43.72%	-0.20	-9.1	1
2009-08-15	Aarhus GF	L 0-1	66.6	1820	1682	59.95%	20.69%	19.36%	+0.80	-6.5	7
2009-08-15	@ FC Copenhagen	W 1-0	66.6	1682	1820	19.36%	20.69%	59.95%	-0.80	+6.5	13
2009-08-15	Sonderjyske	W 1-0	54.6	1698	1605	54.52%	22.39%	23.09%	+0.59	+3.0	9
2009-08-15	@ Aalborg	L 0-1	54.6	1605	1698	23.09%	22.39%	54.52%	-0.59	-3.0	4
2009-08-16	Brondby	L 1-3	62.0	1676	1734	33.81%	24.52%	41.67%	-0.15	-6.7	1
2009-08-16	@ Randers	W 3-1	62.0	1734	1676	41.67%	24.52%	33.81%	+0.15	+6.7	7
2009-08-16	Esbjerg	L 2-3	73.4	1689	1668	44.90%	24.23%	30.86%	+0.24	-4.6	5
2009-08-16	@ Silkeborg	W 3-2	73.4	1668	1689	30.86%	24.23%	44.90%	-0.24	+4.6	8
2009-08-16	Nordsjaelland	D 1-1	71.3	1557	1684	25.65%	23.21%	51.14%	-0.48	+0.6	2
2009-08-16	@ HB Koge	D 1-1	71.3	1684	1557	51.14%	23.21%	25.65%	+0.48	-0.6	8
2009-08-17	Midtjylland	W 1-0	56.0	1801	1707	54.63%	22.36%	23.02%	+0.59	+3.0	11
2009-08-17	@ Odense	L 0-1	56.0	1707	1801	23.02%	22.36%	54.63%	-0.59	-2.9	4
2009-08-19	Nordsjaelland	W 1-0	58.4	1701	1683	44.52%	24.28%	31.20%	+0.23	+3.9	12
2009-08-19	@ Aalborg	L 0-1	58.4	1683	1701	31.20%	24.28%	44.52%	-0.23	-3.9	8
2009-08-22	FC Copenhagen	L 1-4	57.5	1704	1813	27.56%	23.67%	48.77%	-0.39	-8.0	4
2009-08-22	@ Midtjylland	W 4-1	57.5	1813	1704	48.77%	23.67%	27.56%	+0.39	+8.0	10
2009-08-22	Silkeborg	D 2-2	78.6	1689	1684	42.63%	24.45%	32.92%	+0.16	-0.2	14
2009-08-22	@ Aarhus GF	D 2-2	78.6	1684	1689	32.92%	24.45%	42.63%	-0.16	+0.2	6
2009-08-23	Aalborg	W 2-0	57.1	1673	1705	37.33%	24.64%	38.03%	-0.02	+8.5	11
2009-08-23	@ Esbjerg	L 0-2	57.1	1705	1673	38.03%	24.64%	37.33%	+0.02	-8.5	12
2009-08-23	HB Koge	W 6-1	48.7	1741	1557	65.29%	18.61%	16.10%	+1.03	+7.4	10
2009-08-23	@ Brondby	L 1-6	48.7	1557	1741	16.10%	18.61%	65.29%	-1.03	-7.4	2
2009-08-23	Nordsjaelland	W 1-0	61.3	1602	1679	31.36%	24.30%	44.35%	-0.24	+5.1	7
2009-08-23	@ Sonderjyske	L 0-1	61.3	1679	1602	44.35%	24.30%	31.36%	+0.24	-5.1	8
2009-08-24	Randers	W 1-0	54.4	1804	1670	59.58%	20.82%	19.60%	+0.79	+2.5	14
2009-08-24	@ Odense	L 0-1	54.4	1670	1804	19.60%	20.82%	59.58%	-0.79	-2.5	1
2009-08-29	Aarhus GF	L 0-2	57.5	1674	1689	39.90%	24.60%	35.49%	+0.07	-8.8	8
2009-08-29	@ Nordsjaelland	W 2-0	57.5	1689	1674	35.49%	24.60%	39.90%	-0.07	+8.8	17
2009-08-30	Brondby	D 1-1	73.9	1821	1748	51.90%	23.04%	25.06%	+0.49	-0.7	11
2009-08-30	@ FC Copenhagen	D 1-1	73.9	1748	1821	25.06%	23.04%	51.90%	-0.49	+0.7	11
2009-08-30	Esbjerg	L 0-1	60.9	1667	1681	39.98%	24.60%	35.42%	+0.07	-4.7	1
2009-08-30	@ Randers	W 1-0	60.9	1681	1667	35.42%	24.60%	39.98%	-0.07	+4.7	14
2009-08-30	Midtjylland	W 1-0	59.2	1697	1696	42.08%	24.49%	33.43%	+0.14	+4.1	15
2009-08-30	@ Aalborg	L 0-1	59.2	1696	1697	33.43%	24.49%	42.08%	-0.14	-4.1	4
2009-08-30	Sonderjyske	W 1-0	58.0	1550	1607	33.88%	24.52%	41.60%	-0.14	+4.8	5
2009-08-30	@ HB Koge	L 0-1	58.0	1607	1550	41.60%	24.52%	33.88%	+0.14	-4.8	7
2009-08-31	Odense	W 3-1	67.0	1684	1806	26.21%	23.36%	50.44%	-0.46	+9.2	9
2009-08-31	@ Silkeborg	L 1-3	67.0	1806	1684	50.44%	23.36%	26.21%	+0.46	-9.2	14
2009-09-12	FC Copenhagen	D 1-1	73.5	1797	1820	38.62%	24.63%	36.75%	+0.02	-0.0	15
2009-09-12	@ Odense	D 1-1	73.5	1820	1797	36.75%	24.63%	38.62%	-0.02	+0.0	12
2009-09-12	Nordsjaelland	L 0-2	59.0	1692	1665	45.67%	24.14%	30.19%	+0.27	-9.8	4
2009-09-12	@ Midtjylland	W 2-0	59.0	1665	1692	30.19%	24.14%	45.67%	-0.27	+9.8	11
2009-09-13	Aarhus GF	W 1-0	57.5	1749	1698	49.09%	23.62%	27.29%	+0.39	+3.5	14
2009-09-13	@ Brondby	L 0-1	57.5	1698	1749	27.29%	23.62%	49.09%	-0.39	-3.4	17
2009-09-13	HB Koge	W 3-2	63.3	1686	1555	59.22%	20.95%	19.84%	+0.77	+2.3	17
2009-09-13	@ Esbjerg	L 2-3	63.3	1555	1686	19.84%	20.95%	59.22%	-0.77	-2.3	5
2009-09-13	Sonderjyske	D 1-1	72.4	1694	1603	54.28%	22.45%	23.27%	+0.58	-0.8	10
2009-09-13	@ Silkeborg	D 1-1	72.4	1603	1694	23.27%	22.45%	54.28%	-0.58	+0.8	8
2009-09-14	Aalborg	L 0-3	54.5	1662	1701	36.50%	24.63%	38.87%	-0.05	-12.0	1
2009-09-14	@ Randers	W 3-0	54.5	1701	1662	38.87%	24.63%	36.50%	+0.05	+12.0	18
2009-09-19	Silkeborg	L 0-1	62.6	1713	1693	44.75%	24.25%	31.00%	+0.23	-5.1	18
2009-09-19	@ Aalborg	W 1-0	62.6	1693	1713	31.00%	24.25%	44.75%	-0.23	+5.1	13
2009-09-20	Brondby	L 2-4	61.7	1603	1753	23.46%	22.52%	54.02%	-0.59	-4.4	8
2009-09-20	@ Sonderjyske	W 4-2	61.7	1753	1603	54.02%	22.52%	23.46%	+0.59	+4.4	17
2009-09-20	Esbjerg	L 0-4	55.3	1675	1688	40.14%	24.59%	35.26%	+0.07	-16.8	11
2009-09-20	@ Nordsjaelland	W 4-0	55.3	1688	1675	35.26%	24.59%	40.14%	-0.07	+16.8	20
2009-09-20	Odense	L 1-3	54.4	1552	1797	16.06%	18.58%	65.36%	-1.05	-3.3	5
2009-09-20	@ HB Koge	W 3-1	54.4	1797	1552	65.36%	18.58%	16.06%	+1.05	+3.3	18
2009-09-20	Randers	W 3-0	47.7	1821	1650	63.78%	19.24%	16.98%	+0.97	+5.9	15
2009-09-20	@ FC Copenhagen	L 0-3	47.7	1650	1821	16.98%	19.24%	63.78%	-0.97	-5.9	1
2009-09-21	Midtjylland	L 2-4	68.4	1694	1682	43.69%	24.36%	31.95%	+0.20	-7.3	17
2009-09-21	@ Aarhus GF	W 4-2	68.4	1682	1694	31.95%	24.36%	43.69%	-0.20	+7.3	7
2009-09-26	Nordsjaelland	W 2-0	50.6	1800	1658	60.51%	20.49%	19.00%	+0.83	+4.6	21
2009-09-26	@ Odense	L 0-2	50.6	1658	1800	19.00%	20.49%	60.51%	-0.83	-4.6	11
2009-09-27	Brondby	W 4-1	61.8	1698	1757	33.69%	24.51%	41.80%	-0.15	+11.2	16
2009-09-27	@ Silkeborg	L 1-4	61.8	1757	1698	41.80%	24.51%	33.69%	+0.15	-11.2	17
2009-09-27	FC Copenhagen	L 1-2	63.4	1708	1826	26.51%	23.43%	50.06%	-0.44	-3.2	18
2009-09-27	@ Aalborg	W 2-1	63.4	1826	1708	50.06%	23.43%	26.51%	+0.44	+3.2	18
2009-09-27	HB Koge	D 1-1	70.6	1644	1549	54.81%	22.31%	22.88%	+0.60	-0.8	2
2009-09-27	@ Randers	D 1-1	70.6	1549	1644	22.88%	22.31%	54.81%	-0.60	+0.8	6
2009-09-27	Sonderjyske	L 0-2	60.3	1689	1599	54.18%	22.48%	23.34%	+0.58	-11.3	7
2009-09-27	@ Midtjylland	W 2-0	60.3	1599	1689	23.34%	22.48%	54.18%	-0.58	+11.3	11
2009-09-28	Aarhus GF	W 3-2	69.5	1705	1687	44.52%	24.28%	31.21%	+0.23	+3.5	23
2009-09-28	@ Esbjerg	L 2-3	69.5	1687	1705	31.21%	24.28%	44.52%	-0.23	-3.5	17
2009-10-03	Sonderjyske	W 2-1	61.2	1683	1610	51.96%	23.03%	25.02%	+0.49	+3.0	20
2009-10-03	@ Aarhus GF	L 1-2	61.2	1610	1683	25.02%	23.03%	51.96%	-0.49	-3.0	11
2009-10-04	Esbjerg	W 2-1	61.0	1830	1708	58.03%	21.34%	20.63%	+0.73	+2.5	21
2009-10-04	@ FC Copenhagen	L 1-2	61.0	1708	1830	20.63%	21.34%	58.03%	-0.73	-2.5	23
2009-10-04	HB Koge	W 2-1	58.0	1678	1550	58.86%	21.07%	20.08%	+0.76	+2.4	10
2009-10-04	@ Midtjylland	L 1-2	58.0	1550	1678	20.08%	21.07%	58.86%	-0.76	-2.4	6
2009-10-04	Nordsjaelland	W 6-3	58.5	1746	1654	54.38%	22.42%	23.19%	+0.58	+5.5	20
2009-10-04	@ Brondby	L 3-6	58.5	1654	1746	23.19%	22.42%	54.38%	-0.58	-5.5	11
2009-10-04	Silkeborg	L 1-2	64.6	1644	1709	32.82%	24.44%	42.74%	-0.18	-3.8	2
2009-10-04	@ Randers	W 2-1	64.6	1709	1644	42.74%	24.44%	32.82%	+0.18	+3.8	19
2009-10-05	Aalborg	W 2-1	61.7	1805	1704	55.45%	22.13%	22.42%	+0.63	+2.7	24
2009-10-05	@ Odense	L 1-2	61.7	1704	1805	22.42%	22.13%	55.45%	-0.63	-2.7	18
2009-10-17	Odense	L 0-2	52.2	1648	1808	22.54%	22.17%	55.29%	-0.64	-5.4	11
2009-10-17	@ Nordsjaelland	W 2-0	52.2	1808	1648	55.29%	22.17%	22.54%	+0.64	+5.4	27
2009-10-18	Esbjerg	D 2-2	79.0	1713	1706	42.99%	24.42%	32.59%	+0.17	-0.2	20
2009-10-18	@ Silkeborg	D 2-2	79.0	1706	1713	32.59%	24.42%	42.99%	-0.17	+0.2	24
2009-10-18	FC Copenhagen	L 0-2	47.4	1548	1832	13.69%	16.67%	69.64%	-1.25	-3.2	6
2009-10-18	@ HB Koge	W 2-0	47.4	1832	1548	69.64%	16.67%	13.69%	+1.25	+3.2	24
2009-10-18	Midtjylland	D 1-1	73.4	1751	1680	51.65%	23.10%	25.26%	+0.48	-0.7	21
2009-10-18	@ Brondby	D 1-1	73.4	1680	1751	25.26%	23.10%	51.65%	-0.48	+0.7	11
2009-10-18	Randers	D 1-1	72.7	1702	1640	50.46%	23.35%	26.19%	+0.44	-0.6	19
2009-10-18	@ Aalborg	D 1-1	72.7	1640	1702	26.19%	23.35%	50.46%	-0.44	+0.6	3
2009-10-19	Aarhus GF	W 1-0	61.5	1607	1686	31.09%	24.26%	44.65%	-0.25	+5.1	14
2009-10-19	@ Sonderjyske	L 0-1	61.5	1686	1607	44.65%	24.26%	31.09%	+0.25	-5.1	20
2009-10-24	Odense	D 1-1	74.0	1640	1813	21.37%	21.69%	56.94%	-0.70	+0.9	4
2009-10-24	@ Randers	D 1-1	74.0	1813	1640	56.94%	21.69%	21.37%	+0.70	-0.9	28
2009-10-25	Brondby	L 1-2	66.0	1701	1751	34.95%	24.58%	40.46%	-0.10	-4.0	19
2009-10-25	@ Aalborg	W 2-1	66.0	1751	1701	40.46%	24.58%	34.95%	+0.10	+4.0	24
2009-10-25	HB Koge	W 2-1	57.7	1681	1544	59.90%	20.71%	19.40%	+0.80	+2.3	14
2009-10-25	@ Midtjylland	L 1-2	57.7	1544	1681	19.40%	20.71%	59.90%	-0.80	-2.3	6
2009-10-25	Silkeborg	W 1-0	55.1	1835	1713	58.18%	21.29%	20.53%	+0.73	+2.6	27
2009-10-25	@ FC Copenhagen	L 0-1	55.1	1713	1835	20.53%	21.29%	58.18%	-0.73	-2.6	20
2009-10-25	Sonderjyske	W 2-0	51.3	1706	1612	54.61%	22.36%	23.03%	+0.59	+5.6	27
2009-10-25	@ Esbjerg	L 0-2	51.3	1612	1706	23.03%	22.36%	54.61%	-0.59	-5.6	14
2009-10-26	Nordsjaelland	L 0-2	59.1	1681	1643	47.32%	23.91%	28.77%	+0.32	-10.1	20
2009-10-26	@ Aarhus GF	W 2-0	59.1	1643	1681	28.77%	23.91%	47.32%	-0.32	+10.1	14
2009-10-31	Midtjylland	D 2-2	78.4	1671	1683	40.22%	24.59%	35.18%	+0.08	-0.1	21
2009-10-31	@ Aarhus GF	D 2-2	78.4	1683	1671	35.18%	24.59%	40.22%	-0.08	+0.1	15
2009-11-01	Brondby	L 0-1	57.6	1653	1755	28.41%	23.85%	47.74%	-0.36	-3.6	14
2009-11-01	@ Nordsjaelland	W 1-0	57.6	1755	1653	47.74%	23.85%	28.41%	+0.36	+3.6	27
2009-11-01	FC Copenhagen	D 0-0	68.9	1712	1838	25.73%	23.23%	51.04%	-0.48	+0.7	28
2009-11-01	@ Esbjerg	D 0-0	68.9	1838	1712	51.04%	23.23%	25.73%	+0.48	-0.7	28
2009-11-01	HB Koge	D 0-0	64.3	1607	1542	50.85%	23.27%	25.88%	+0.45	-0.7	15
2009-11-01	@ Sonderjyske	D 0-0	64.3	1542	1607	25.88%	23.27%	50.85%	-0.45	+0.7	7
2009-11-01	Silkeborg	L 0-2	55.1	1641	1710	32.39%	24.40%	43.20%	-0.20	-7.5	4
2009-11-01	@ Randers	W 2-0	55.1	1710	1641	43.20%	24.40%	32.39%	+0.20	+7.5	23
2009-11-02	Aalborg	D 1-1	74.2	1812	1697	57.26%	21.59%	21.15%	+0.70	-0.9	29
2009-11-02	@ Odense	D 1-1	74.2	1697	1812	21.15%	21.59%	57.26%	-0.70	+0.9	20
2009-11-07	Aarhus GF	D 1-1	70.8	1543	1671	25.52%	23.17%	51.31%	-0.49	+0.6	8
2009-11-07	@ HB Koge	D 1-1	70.8	1671	1543	51.31%	23.17%	25.52%	+0.49	-0.6	22
2009-11-07	Odense	L 0-1	58.5	1718	1811	29.36%	24.02%	46.62%	-0.32	-3.7	23
2009-11-07	@ Silkeborg	W 1-0	58.5	1811	1718	46.62%	24.02%	29.36%	+0.32	+3.7	32
2009-11-08	Esbjerg	L 2-4	70.2	1758	1712	48.32%	23.75%	27.92%	+0.36	-7.9	27
2009-11-08	@ Brondby	W 4-2	70.2	1712	1758	27.92%	23.75%	48.32%	-0.36	+8.0	31
2009-11-08	FC Copenhagen	W 1-0	65.2	1698	1837	24.42%	22.85%	52.73%	-0.54	+5.8	23
2009-11-08	@ Aalborg	L 0-1	65.2	1837	1698	52.73%	22.85%	24.42%	+0.54	-5.8	28
2009-11-08	Nordsjaelland	L 0-1	58.4	1606	1649	35.81%	24.61%	39.58%	-0.07	-4.3	15
2009-11-08	@ Sonderjyske	W 1-0	58.4	1649	1606	39.58%	24.61%	35.81%	+0.07	+4.3	17
2009-11-08	Randers	W 2-1	62.4	1684	1634	48.84%	23.66%	27.50%	+0.38	+3.3	18
2009-11-08	@ Midtjylland	L 1-2	62.4	1634	1684	27.50%	23.66%	48.84%	-0.38	-3.3	4
2009-11-21	Esbjerg	W 3-0	55.3	1687	1720	37.19%	24.64%	38.17%	-0.03	+12.4	21
2009-11-21	@ Midtjylland	L 0-3	55.3	1720	1687	38.17%	24.64%	37.19%	+0.03	-12.4	31
2009-11-21	Nordsjaelland	L 1-2	60.4	1543	1654	27.44%	23.65%	48.91%	-0.40	-3.3	8
2009-11-21	@ HB Koge	W 2-1	60.4	1654	1543	48.91%	23.65%	27.44%	+0.40	+3.3	20
2009-11-22	Odense	L 1-3	62.3	1750	1815	32.93%	24.45%	42.62%	-0.18	-6.6	27
2009-11-22	@ Brondby	W 3-1	62.3	1815	1750	42.62%	24.45%	32.93%	+0.18	+6.6	35
2009-11-22	Randers	W 2-0	48.6	1831	1631	67.15%	17.81%	15.04%	+1.11	+3.5	31
2009-11-22	@ FC Copenhagen	L 0-2	48.6	1631	1831	15.04%	17.81%	67.15%	-1.11	-3.5	4
2009-11-22	Sonderjyske	L 1-2	70.6	1714	1602	56.93%	21.69%	21.38%	+0.68	-5.9	23
2009-11-22	@ Silkeborg	W 2-1	70.6	1602	1714	21.38%	21.69%	56.93%	-0.68	+5.9	18
2009-11-23	Aarhus GF	D 0-0	67.9	1704	1670	46.64%	24.01%	29.35%	+0.30	-0.5	24
2009-11-23	@ Aalborg	D 0-0	67.9	1670	1704	29.35%	24.01%	46.64%	-0.30	+0.5	23
2009-11-28	Aalborg	D 1-1	72.9	1708	1703	42.61%	24.45%	32.94%	+0.16	-0.2	32
2009-11-28	@ Esbjerg	D 1-1	72.9	1703	1708	32.94%	24.45%	42.61%	-0.16	+0.2	25
2009-11-29	Brondby	W 1-0	62.4	1671	1744	31.90%	24.36%	43.75%	-0.22	+5.0	26
2009-11-29	@ Aarhus GF	L 0-1	62.4	1744	1671	43.75%	24.36%	31.90%	+0.22	-5.0	27
2009-11-29	Midtjylland	W 2-0	51.1	1835	1699	59.77%	20.75%	19.47%	+0.80	+4.7	34
2009-11-29	@ FC Copenhagen	L 0-2	51.1	1699	1835	19.47%	20.75%	59.77%	-0.80	-4.7	21
2009-11-29	Silkeborg	L 0-1	59.4	1657	1708	34.71%	24.57%	40.71%	-0.11	-4.2	20
2009-11-29	@ Nordsjaelland	W 1-0	59.4	1708	1657	40.71%	24.57%	34.71%	+0.11	+4.2	26
2009-11-29	Sonderjyske	D 0-0	66.0	1627	1608	44.71%	24.26%	31.04%	+0.23	-0.4	5
2009-11-29	@ Randers	D 0-0	66.0	1608	1627	31.04%	24.26%	44.71%	-0.23	+0.4	19
2009-11-30	HB Koge	W 1-0	49.1	1821	1540	75.18%	13.96%	10.86%	+1.51	+1.3	38
2009-11-30	@ Odense	L 0-1	49.1	1540	1821	10.86%	13.96%	75.18%	-1.51	-1.3	8
2009-12-05	Aalborg	W 2-0	58.9	1608	1704	29.11%	23.97%	46.92%	-0.33	+10.0	22
2009-12-05	@ Sonderjyske	L 0-2	58.9	1704	1608	46.92%	23.97%	29.11%	+0.33	-10.0	25
2009-12-06	Brondby	W 3-0	55.3	1712	1739	38.24%	24.64%	37.12%	+0.01	+12.1	29
2009-12-06	@ Silkeborg	L 0-3	55.3	1739	1712	37.12%	24.64%	38.24%	-0.01	-12.1	27
2009-12-06	FC Copenhagen	L 0-2	58.5	1823	1840	39.57%	24.61%	35.82%	+0.05	-8.8	38
2009-12-06	@ Odense	W 2-0	58.5	1840	1823	35.82%	24.61%	39.57%	-0.05	+8.8	37
2009-12-06	HB Koge	W 2-1	58.1	1627	1539	53.86%	22.56%	23.58%	+0.56	+2.8	8
2009-12-06	@ Randers	L 1-2	58.1	1539	1627	23.58%	22.56%	53.86%	-0.56	-2.8	8
2009-12-06	Midtjylland	W 3-0	55.2	1653	1694	36.02%	24.62%	39.36%	-0.07	+12.7	23
2009-12-06	@ Nordsjaelland	L 0-3	55.2	1694	1653	39.36%	24.62%	36.02%	+0.07	-12.7	21
2009-12-07	Esbjerg	D 1-1	72.7	1676	1708	37.44%	24.64%	37.92%	-0.02	+0.0	27
2009-12-07	@ Aarhus GF	D 1-1	72.7	1708	1676	37.92%	24.64%	37.44%	+0.02	-0.0	33
2010-03-06	Odense	D 2-2	79.7	1682	1814	25.13%	23.06%	51.81%	-0.51	+0.5	22
2010-03-06	@ Midtjylland	D 2-2	79.7	1814	1682	51.81%	23.06%	25.13%	+0.51	-0.5	39
2010-03-07	Aarhus GF	W 5-0	48.1	1848	1676	64.04%	19.13%	16.83%	+0.98	+9.4	40
2010-03-07	@ FC Copenhagen	L 0-5	48.1	1676	1848	16.83%	19.13%	64.04%	-0.98	-9.4	27
2010-03-07	Randers	D 0-0	67.9	1708	1630	52.60%	22.88%	24.52%	+0.52	-0.8	34
2010-03-07	@ Esbjerg	D 0-0	67.9	1630	1708	24.52%	22.88%	52.60%	-0.52	+0.8	9
2010-03-07	Silkeborg	L 1-4	52.4	1536	1725	20.05%	21.05%	58.90%	-0.78	-5.9	8
2010-03-07	@ HB Koge	W 4-1	52.4	1725	1536	58.90%	21.05%	20.05%	+0.78	+5.9	32
2010-03-07	Sonderjyske	D 1-1	73.2	1726	1618	56.45%	21.84%	21.71%	+0.66	-0.9	28
2010-03-07	@ Brondby	D 1-1	73.2	1618	1726	21.71%	21.84%	56.45%	-0.66	+0.9	23
2010-03-08	Nordsjaelland	W 2-1	63.7	1694	1665	45.91%	24.11%	29.97%	+0.27	+3.5	28
2010-03-08	@ Aalborg	L 1-2	63.7	1665	1694	29.97%	24.11%	45.91%	-0.27	-3.5	23
2010-03-13	Sonderjyske	D 1-1	74.9	1813	1619	66.48%	18.10%	15.42%	+1.08	-1.3	40
2010-03-13	@ Odense	D 1-1	74.9	1619	1813	15.42%	18.10%	66.48%	-1.08	+1.3	24
2010-03-14	Aalborg	W 2-0	56.3	1682	1697	39.87%	24.60%	35.53%	+0.06	+8.1	25
2010-03-14	@ Midtjylland	L 0-2	56.3	1697	1682	35.53%	24.60%	39.87%	-0.06	-8.1	28
2010-03-14	Brondby	W 2-0	51.3	1858	1726	59.36%	20.90%	19.74%	+0.78	+4.8	43
2010-03-14	@ FC Copenhagen	L 0-2	51.3	1726	1858	19.74%	20.90%	59.36%	-0.78	-4.8	28
2010-03-14	HB Koge	W 2-1	56.5	1707	1530	64.52%	18.93%	16.54%	+1.00	+2.0	37
2010-03-14	@ Esbjerg	L 1-2	56.5	1530	1707	16.54%	18.93%	64.52%	-1.00	-2.0	8
2010-03-14	Nordsjaelland	D 0-0	66.8	1630	1662	37.46%	24.64%	37.90%	-0.02	+0.0	10
2010-03-14	@ Randers	D 0-0	66.8	1662	1630	37.90%	24.64%	37.46%	+0.02	-0.0	24
2010-03-15	Silkeborg	L 1-2	65.0	1667	1730	33.03%	24.46%	42.51%	-0.17	-3.8	27
2010-03-15	@ Aarhus GF	W 2-1	65.0	1730	1667	42.51%	24.46%	33.03%	+0.17	+3.8	35
2010-03-20	Midtjylland	L 0-2	60.2	1734	1690	48.06%	23.79%	28.14%	+0.35	-10.2	35
2010-03-20	@ Silkeborg	W 2-0	60.2	1690	1734	28.14%	23.79%	48.06%	-0.35	+10.2	28
2010-03-21	Aalborg	L 0-3	47.5	1528	1689	22.38%	22.11%	55.50%	-0.65	-7.9	8
2010-03-21	@ HB Koge	W 3-0	47.5	1689	1528	55.50%	22.11%	22.38%	+0.65	+7.9	31
2010-03-21	Aarhus GF	W 2-0	50.4	1812	1663	61.39%	20.17%	18.44%	+0.86	+4.4	43
2010-03-21	@ Odense	L 0-2	50.4	1663	1812	18.44%	20.17%	61.39%	-0.86	-4.4	27
2010-03-21	Esbjerg	W 1-0	61.1	1662	1709	35.30%	24.60%	40.10%	-0.09	+4.7	27
2010-03-21	@ Nordsjaelland	L 0-1	61.1	1709	1662	40.10%	24.60%	35.30%	+0.09	-4.7	37
2010-03-21	FC Copenhagen	L 0-2	49.3	1620	1863	16.19%	18.68%	65.13%	-1.04	-3.9	24
2010-03-21	@ Sonderjyske	W 2-0	49.3	1863	1620	65.13%	18.68%	16.19%	+1.04	+3.8	46
2010-03-22	Randers	D 1-1	73.0	1721	1630	54.19%	22.48%	23.34%	+0.58	-0.8	29
2010-03-22	@ Brondby	D 1-1	73.0	1630	1721	23.34%	22.48%	54.19%	-0.58	+0.8	11
2010-03-24	Nordsjaelland	L 0-2	64.5	1866	1667	67.05%	17.85%	15.10%	+1.11	-13.3	46
2010-03-24	@ FC Copenhagen	W 2-0	64.5	1667	1866	15.10%	17.85%	67.05%	-1.11	+13.4	30
2010-03-24	Silkeborg	W 1-0	60.6	1697	1724	38.09%	24.64%	37.27%	+0.00	+4.5	34
2010-03-24	@ Aalborg	L 0-1	60.6	1724	1697	37.27%	24.64%	38.09%	+0.00	-4.4	35
2010-03-25	Aarhus GF	W 2-1	65.3	1631	1658	38.10%	24.64%	37.26%	+0.00	+4.2	14
2010-03-25	@ Randers	L 1-2	65.3	1658	1631	37.26%	24.64%	38.10%	+0.00	-4.2	27
2010-03-25	HB Koge	L 1-3	68.0	1720	1520	67.04%	17.85%	15.10%	+1.11	-11.6	29
2010-03-25	@ Brondby	W 3-1	68.0	1520	1720	15.10%	17.85%	67.04%	-1.11	+11.6	11
2010-03-25	Odense	L 1-2	63.6	1704	1817	27.20%	23.60%	49.20%	-0.41	-3.2	37
2010-03-25	@ Esbjerg	W 2-1	63.6	1817	1704	49.20%	23.60%	27.20%	+0.41	+3.2	46
2010-03-25	Sonderjyske	D 0-0	67.7	1701	1616	53.40%	22.68%	23.92%	+0.55	-0.8	29
2010-03-25	@ Midtjylland	D 0-0	67.7	1616	1701	23.92%	22.68%	53.40%	-0.55	+0.8	25
2010-03-27	Aalborg	D 1-1	72.6	1680	1701	38.92%	24.63%	36.45%	+0.03	-0.1	31
2010-03-27	@ Nordsjaelland	D 1-1	72.6	1701	1680	36.45%	24.63%	38.92%	-0.03	+0.0	35
2010-03-28	Brondby	L 1-3	59.9	1617	1708	29.62%	24.06%	46.32%	-0.31	-6.0	25
2010-03-28	@ Sonderjyske	W 3-1	59.9	1708	1617	46.32%	24.06%	29.62%	+0.31	+6.0	32
2010-03-28	Esbjerg	W 4-0	55.8	1635	1701	32.81%	24.44%	42.75%	-0.18	+17.7	17
2010-03-28	@ Randers	L 0-4	55.8	1701	1635	42.75%	24.44%	32.81%	+0.18	-17.7	37
2010-03-28	FC Copenhagen	D 0-0	69.6	1654	1853	19.23%	20.62%	60.15%	-0.83	+1.2	28
2010-03-28	@ Aarhus GF	D 0-0	69.6	1853	1654	60.15%	20.62%	19.23%	+0.83	-1.2	47
2010-03-28	HB Koge	W 3-0	45.0	1720	1532	65.74%	18.42%	15.84%	+1.05	+5.5	38
2010-03-28	@ Silkeborg	L 0-3	45.0	1532	1720	15.84%	18.42%	65.74%	-1.05	-5.5	11
2010-03-29	Midtjylland	L 1-2	72.1	1820	1700	57.88%	21.39%	20.73%	+0.72	-5.9	46
2010-03-29	@ Odense	W 2-1	72.1	1700	1820	20.73%	21.39%	57.88%	-0.72	+5.9	32
2010-03-31	Aarhus GF	L 0-4	56.7	1683	1655	45.88%	24.12%	30.00%	+0.27	-18.7	37
2010-03-31	@ Esbjerg	W 4-0	56.7	1655	1683	30.00%	24.12%	45.88%	-0.27	+18.7	31
2010-04-01	Nordsjaelland	W 1-0	58.1	1706	1680	45.60%	24.15%	30.25%	+0.26	+3.8	35
2010-04-01	@ Midtjylland	L 0-1	58.1	1680	1706	30.25%	24.15%	45.60%	-0.26	-3.8	31
2010-04-01	Odense	W 2-0	55.1	1852	1814	47.26%	23.92%	28.81%	+0.32	+6.8	50
2010-04-01	@ FC Copenhagen	L 0-2	55.1	1814	1852	28.81%	23.92%	47.26%	-0.32	-6.8	46
2010-04-01	Randers	L 1-2	59.3	1526	1653	25.69%	23.22%	51.09%	-0.48	-3.1	11
2010-04-01	@ HB Koge	W 2-1	59.3	1653	1526	51.09%	23.22%	25.69%	+0.48	+3.1	20
2010-04-01	Silkeborg	D 2-2	79.0	1714	1725	40.47%	24.58%	34.95%	+0.09	-0.1	33
2010-04-01	@ Brondby	D 2-2	79.0	1725	1714	34.95%	24.58%	40.47%	-0.09	+0.1	39
2010-04-02	Sonderjyske	D 1-1	72.6	1701	1611	54.16%	22.48%	23.35%	+0.58	-0.8	36
2010-04-02	@ Aalborg	D 1-1	72.6	1611	1701	23.35%	22.48%	54.16%	-0.58	+0.8	26
2010-04-04	Brondby	L 1-2	58.1	1523	1714	19.84%	20.95%	59.21%	-0.79	-2.4	11
2010-04-04	@ HB Koge	W 2-1	58.1	1714	1523	59.21%	20.95%	19.84%	+0.79	+2.4	36
2010-04-04	Randers	D 0-0	67.4	1674	1656	44.49%	24.28%	31.23%	+0.22	-0.4	32
2010-04-04	@ Aarhus GF	D 0-0	67.4	1656	1674	31.23%	24.28%	44.49%	-0.22	+0.4	21
2010-04-05	Aalborg	D 1-1	73.1	1725	1701	45.41%	24.17%	30.41%	+0.26	-0.4	40
2010-04-05	@ Silkeborg	D 1-1	73.1	1701	1725	30.41%	24.17%	45.41%	-0.26	+0.4	37
2010-04-05	Esbjerg	D 0-0	69.5	1807	1665	60.58%	20.46%	18.95%	+0.83	-1.2	47
2010-04-05	@ Odense	D 0-0	69.5	1665	1807	18.95%	20.46%	60.58%	-0.83	+1.2	38
2010-04-05	FC Copenhagen	L 0-3	49.6	1676	1859	20.53%	21.29%	58.18%	-0.75	-7.2	31
2010-04-05	@ Nordsjaelland	W 3-0	49.6	1859	1676	58.18%	21.29%	20.53%	+0.75	+7.2	53
2010-04-05	Midtjylland	L 0-2	53.6	1612	1710	28.88%	23.93%	47.19%	-0.34	-6.8	26
2010-04-05	@ Sonderjyske	W 2-0	53.6	1710	1612	47.19%	23.93%	28.88%	+0.34	+6.8	38
2010-04-10	Aalborg	L 0-2	57.1	1674	1701	38.06%	24.64%	37.29%	+0.00	-8.5	32
2010-04-10	@ Aarhus GF	W 2-0	57.1	1701	1674	37.29%	24.64%	38.06%	+0.00	+8.5	40
2010-04-11	Brondby	L 0-1	65.4	1806	1717	54.01%	22.52%	23.46%	+0.57	-6.0	47
2010-04-11	@ Odense	W 1-0	65.4	1717	1806	23.46%	22.52%	54.01%	-0.57	+6.0	39
2010-04-11	FC Copenhagen	W 1-0	66.9	1656	1866	18.44%	20.17%	61.39%	-0.88	+6.6	24
2010-04-11	@ Randers	L 0-1	66.9	1866	1656	61.39%	20.17%	18.44%	+0.88	-6.6	53
2010-04-11	Midtjylland	W 2-1	67.2	1666	1716	34.80%	24.57%	40.63%	-0.11	+4.5	41
2010-04-11	@ Esbjerg	L 1-2	67.2	1716	1666	40.63%	24.57%	34.80%	+0.11	-4.5	38
2010-04-11	Silkeborg	W 4-0	57.6	1605	1725	26.42%	23.41%	50.17%	-0.45	+20.1	29
2010-04-11	@ Sonderjyske	L 0-4	57.6	1725	1605	50.17%	23.41%	26.42%	+0.45	-20.1	40
2010-04-12	HB Koge	D 1-1	71.2	1669	1521	61.23%	20.23%	18.54%	+0.86	-1.1	32
2010-04-12	@ Nordsjaelland	D 1-1	71.2	1521	1669	18.54%	20.23%	61.23%	-0.86	+1.1	12
2010-04-14	Aarhus GF	W 1-0	57.2	1712	1665	48.46%	23.73%	27.82%	+0.36	+3.5	41
2010-04-14	@ Midtjylland	L 0-1	57.2	1665	1712	27.82%	23.73%	48.46%	-0.36	-3.5	32
2010-04-14	Esbjerg	W 3-2	63.8	1859	1670	65.89%	18.36%	15.76%	+1.06	+1.8	56
2010-04-14	@ FC Copenhagen	L 2-3	63.8	1670	1859	15.76%	18.36%	65.89%	-1.06	-1.8	41
2010-04-14	Odense	W 1-0	63.5	1709	1800	29.72%	24.07%	46.20%	-0.30	+5.2	43
2010-04-14	@ Aalborg	L 0-1	63.5	1800	1709	46.20%	24.07%	29.72%	+0.30	-5.2	47
2010-04-14	Randers	L 1-3	65.7	1705	1663	47.77%	23.84%	28.39%	+0.34	-8.8	40
2010-04-14	@ Silkeborg	W 3-1	65.7	1663	1705	28.39%	23.84%	47.77%	-0.34	+8.8	27
2010-04-15	Nordsjaelland	L 0-1	63.8	1723	1668	49.55%	23.53%	26.92%	+0.40	-5.6	39
2010-04-15	@ Brondby	W 1-0	63.8	1668	1723	26.92%	23.53%	49.55%	-0.40	+5.6	35
2010-04-15	Sonderjyske	L 1-2	59.4	1522	1625	28.23%	23.81%	47.95%	-0.37	-3.4	12
2010-04-15	@ HB Koge	W 2-1	59.4	1625	1522	47.95%	23.81%	28.23%	+0.37	+3.3	32
2010-04-17	FC Copenhagen	W 3-2	76.5	1715	1861	23.80%	22.64%	53.56%	-0.57	+5.3	44
2010-04-17	@ Midtjylland	L 2-3	76.5	1861	1715	53.56%	22.64%	23.80%	+0.57	-5.3	56
2010-04-18	Aarhus GF	W 1-0	56.9	1717	1662	49.64%	23.51%	26.85%	+0.41	+3.4	42
2010-04-18	@ Brondby	L 0-1	56.9	1662	1717	26.85%	23.51%	49.64%	-0.41	-3.4	32
2010-04-18	Nordsjaelland	L 1-4	62.1	1696	1673	45.13%	24.21%	30.66%	+0.25	-11.9	40
2010-04-18	@ Silkeborg	W 4-1	62.1	1673	1696	30.66%	24.21%	45.13%	-0.25	+11.9	38
2010-04-18	Odense	L 1-2	56.4	1519	1795	14.16%	17.08%	68.75%	-1.21	-1.6	12
2010-04-18	@ HB Koge	W 2-1	56.4	1795	1519	68.75%	17.08%	14.16%	+1.21	+1.7	50
2010-04-18	Randers	L 0-1	59.1	1629	1672	35.80%	24.61%	39.58%	-0.07	-4.3	32
2010-04-18	@ Sonderjyske	W 1-0	59.1	1672	1629	39.58%	24.61%	35.80%	+0.07	+4.3	30
2010-04-19	Esbjerg	D 0-0	68.0	1715	1668	48.39%	23.74%	27.87%	+0.36	-0.6	44
2010-04-19	@ Aalborg	D 0-0	68.0	1668	1715	27.87%	23.74%	48.39%	-0.36	+0.6	42
2010-04-24	Silkeborg	W 1-0	55.3	1796	1684	56.93%	21.69%	21.38%	+0.68	+2.7	53
2010-04-24	@ Odense	L 0-1	55.3	1684	1796	21.38%	21.69%	56.93%	-0.68	-2.7	40
2010-04-25	Aalborg	W 2-0	51.0	1856	1714	60.47%	20.50%	19.02%	+0.83	+4.6	59
2010-04-25	@ FC Copenhagen	L 0-2	51.0	1714	1856	19.02%	20.50%	60.47%	-0.83	-4.6	44
2010-04-25	Brondby	D 1-1	72.7	1669	1721	34.67%	24.57%	40.77%	-0.11	+0.1	43
2010-04-25	@ Esbjerg	D 1-1	72.7	1721	1669	40.77%	24.57%	34.67%	+0.11	-0.1	43
2010-04-25	HB Koge	L 0-3	57.4	1658	1517	60.43%	20.52%	19.05%	+0.82	-17.9	32
2010-04-25	@ Aarhus GF	W 3-0	57.4	1517	1658	19.05%	20.52%	60.43%	-0.82	+17.9	15
2010-04-25	Sonderjyske	W 3-1	58.5	1685	1624	50.37%	23.37%	26.26%	+0.43	+5.4	41
2010-04-25	@ Nordsjaelland	L 1-3	58.5	1624	1685	26.26%	23.37%	50.37%	-0.43	-5.4	32
2010-04-26	Midtjylland	W 2-0	57.7	1676	1721	35.64%	24.61%	39.76%	-0.08	+8.8	33
2010-04-26	@ Randers	L 0-2	57.7	1721	1676	39.76%	24.61%	35.64%	+0.08	-8.8	44
2010-05-01	Aarhus GF	L 1-4	62.3	1681	1640	47.67%	23.86%	28.48%	+0.34	-12.4	40
2010-05-01	@ Silkeborg	W 4-1	62.3	1640	1681	28.48%	23.86%	47.67%	-0.34	+12.4	35
2010-05-02	Esbjerg	L 1-2	59.6	1535	1669	24.91%	23.00%	52.09%	-0.52	-3.0	15
2010-05-02	@ HB Koge	W 2-1	59.6	1669	1535	52.09%	23.00%	24.91%	+0.52	+3.0	46
2010-05-02	FC Copenhagen	L 0-2	53.3	1720	1860	24.36%	22.82%	52.82%	-0.54	-5.9	43
2010-05-02	@ Brondby	W 2-0	53.3	1860	1720	52.82%	22.82%	24.36%	+0.54	+5.9	62
2010-05-02	Midtjylland	W 3-2	70.6	1710	1712	41.65%	24.52%	33.83%	+0.13	+3.7	47
2010-05-02	@ Aalborg	L 2-3	70.6	1712	1710	33.83%	24.52%	41.65%	-0.13	-3.7	44
2010-05-02	Randers	D 1-1	72.7	1691	1685	42.79%	24.44%	32.77%	+0.16	-0.2	42
2010-05-02	@ Nordsjaelland	D 1-1	72.7	1685	1691	32.77%	24.44%	42.79%	-0.16	+0.2	34
2010-05-03	Odense	W 2-0	62.3	1619	1799	20.72%	21.38%	57.90%	-0.74	+11.9	35
2010-05-03	@ Sonderjyske	L 0-2	62.3	1799	1619	57.90%	21.38%	20.72%	+0.74	-11.9	53
2010-05-05	Aalborg	W 3-1	63.1	1685	1713	37.96%	24.64%	37.40%	+0.00	+7.3	37
2010-05-05	@ Randers	L 1-3	63.1	1713	1685	37.40%	24.64%	37.96%	+0.00	-7.3	47
2010-05-05	Brondby	L 2-4	68.0	1708	1715	41.07%	24.55%	34.38%	+0.11	-7.0	44
2010-05-05	@ Midtjylland	W 4-2	68.0	1715	1708	34.38%	24.55%	41.07%	-0.11	+7.0	46
2010-05-05	HB Koge	W 4-0	42.2	1866	1532	79.74%	11.58%	8.68%	+1.76	+3.5	65
2010-05-05	@ FC Copenhagen	L 0-4	42.2	1532	1866	8.68%	11.58%	79.74%	-1.76	-3.5	15
2010-05-06	Nordsjaelland	W 2-1	61.7	1787	1690	54.98%	22.26%	22.76%	+0.61	+2.7	56
2010-05-06	@ Odense	L 1-2	61.7	1690	1787	22.76%	22.26%	54.98%	-0.61	-2.8	42
2010-05-06	Silkeborg	W 4-0	52.9	1672	1669	42.44%	24.47%	33.09%	+0.15	+14.5	49
2010-05-06	@ Esbjerg	L 0-4	52.9	1669	1672	33.09%	24.47%	42.44%	-0.15	-14.5	40
2010-05-06	Sonderjyske	L 1-2	67.4	1653	1631	45.07%	24.22%	30.71%	+0.24	-4.9	35
2010-05-06	@ Aarhus GF	W 2-1	67.4	1631	1653	30.71%	24.22%	45.07%	-0.24	+4.8	38
2010-05-09	Aalborg	W 2-0	55.4	1722	1706	44.16%	24.31%	31.52%	+0.21	+7.4	49
2010-05-09	@ Brondby	L 0-2	55.4	1706	1722	31.52%	24.31%	44.16%	-0.21	-7.3	47
2010-05-09	Aarhus GF	L 0-1	62.8	1688	1648	47.52%	23.88%	28.60%	+0.33	-5.4	42
2010-05-09	@ Nordsjaelland	W 1-0	62.8	1648	1688	28.60%	23.88%	47.52%	-0.33	+5.4	38
2010-05-09	Esbjerg	W 1-0	60.8	1636	1687	34.74%	24.57%	40.69%	-0.11	+4.8	41
2010-05-09	@ Sonderjyske	L 0-1	60.8	1687	1636	40.69%	24.57%	34.74%	+0.11	-4.8	49
2010-05-09	FC Copenhagen	W 2-0	63.6	1654	1870	18.02%	19.91%	62.08%	-0.91	+12.6	43
2010-05-09	@ Silkeborg	L 0-2	63.6	1870	1654	62.08%	19.91%	18.02%	+0.91	-12.6	65
2010-05-09	Midtjylland	W 1-0	63.4	1528	1701	21.34%	21.67%	56.99%	-0.70	+6.2	18
2010-05-09	@ HB Koge	L 0-1	63.4	1701	1528	56.99%	21.67%	21.34%	+0.70	-6.2	44
2010-05-09	Randers	L 1-3	68.1	1790	1692	55.07%	22.23%	22.69%	+0.61	-9.9	56
2010-05-09	@ Odense	W 3-1	68.1	1692	1790	22.69%	22.23%	55.07%	-0.61	+9.9	40
2010-05-16	Brondby	L 1-3	63.5	1702	1729	38.18%	24.64%	37.18%	+0.01	-7.4	40
2010-05-16	@ Randers	W 3-1	63.5	1729	1702	37.18%	24.64%	38.18%	-0.01	+7.4	52
2010-05-16	HB Koge	D 0-0	67.4	1699	1535	63.09%	19.51%	17.40%	+0.94	-1.3	48
2010-05-16	@ Aalborg	D 0-0	67.4	1535	1699	17.40%	19.51%	63.09%	-0.94	+1.3	19
2010-05-16	Nordsjaelland	D 3-3	82.3	1682	1682	41.91%	24.50%	33.59%	+0.13	-0.1	50
2010-05-16	@ Esbjerg	D 3-3	82.3	1682	1682	33.59%	24.50%	41.91%	-0.13	+0.1	43
2010-05-16	Odense	L 0-3	51.3	1653	1780	25.68%	23.22%	51.10%	-0.48	-8.9	38
2010-05-16	@ Aarhus GF	W 3-0	51.3	1780	1653	51.10%	23.22%	25.68%	+0.48	+9.0	59
2010-05-16	Silkeborg	W 3-0	52.4	1695	1667	45.90%	24.11%	29.99%	+0.27	+10.2	47
2010-05-16	@ Midtjylland	L 0-3	52.4	1667	1695	29.99%	24.11%	45.90%	-0.27	-10.2	43
2010-05-16	Sonderjyske	W 3-1	54.3	1857	1640	68.86%	17.04%	14.11%	+1.19	+2.9	68
2010-05-16	@ FC Copenhagen	L 1-3	54.3	1640	1857	14.11%	17.04%	68.86%	-1.19	-2.8	41

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	2010-03-24	15.10%	Nordsjaelland	1667	2	@ FC Copenhagen	1866	0
2	2010-03-25	15.10%	HB Koge	1520	3	@ Brondby	1720	1
3	2010-05-09	18.02%	@ Silkeborg	1654	2	FC Copenhagen	1870	0
4	2010-04-11	18.44%	@ Randers	1656	1	FC Copenhagen	1866	0
5	2010-04-25	19.05%	HB Koge	1517	3	@ Aarhus GF	1658	0
6	2009-08-15	19.36%	Aarhus GF	1682	1	@ FC Copenhagen	1820	0
7	2010-05-03	20.72%	@ Sonderjyske	1619	2	Odense	1799	0
8	2010-03-29	20.73%	Midtjylland	1700	2	@ Odense	1820	1
9	2010-05-09	21.34%	@ HB Koge	1528	1	Midtjylland	1701	0
10	2009-11-22	21.38%	Sonderjyske	1602	2	@ Silkeborg	1714	1
11	2009-07-18	22.24%	@ Nordsjaelland	1660	2	FC Copenhagen	1823	0
12	2010-05-09	22.69%	Randers	1692	3	@ Odense	1790	1
13	2009-09-27	23.34%	Sonderjyske	1599	2	@ Midtjylland	1689	0
14	2010-04-11	23.46%	Brondby	1717	1	@ Odense	1806	0
15	2010-04-17	23.80%	@ Midtjylland	1715	3	FC Copenhagen	1861	2
16	2009-11-08	24.42%	@ Aalborg	1698	1	FC Copenhagen	1837	0
17	2009-08-31	26.21%	@ Silkeborg	1684	3	Odense	1806	1
18	2010-04-11	26.42%	@ Sonderjyske	1605	4	Silkeborg	1725	0
19	2009-08-09	26.69%	Aalborg	1688	2	@ Brondby	1745	0
20	2010-04-15	26.92%	Nordsjaelland	1668	1	@ Brondby	1723	0
21	2009-11-08	27.92%	Esbjerg	1712	4	@ Brondby	1758	2
22	2010-03-20	28.14%	Midtjylland	1690	2	@ Silkeborg	1734	0
23	2010-04-14	28.39%	Randers	1663	3	@ Silkeborg	1705	1
24	2010-05-01	28.48%	Aarhus GF	1640	4	@ Silkeborg	1681	1
25	2010-05-09	28.60%	Aarhus GF	1648	1	@ Nordsjaelland	1688	0

Biggest Elo Changes

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

#	Date	Elo Δ	Winning Team				Losing Team				Tie %
#	Date	Elo Δ	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2010-04-11	20.09	@ Sonderjyske	4	1605	26.42%	Silkeborg	0	1725	50.17%	23.41%
2	2010-03-31	18.69	Aarhus GF	4	1655	30.00%	@ Esbjerg	0	1683	45.88%	24.12%
3	2010-04-25	17.88	HB Koge	3	1517	19.05%	@ Aarhus GF	0	1658	60.43%	20.52%
4	2010-03-28	17.67	@ Randers	4	1635	32.81%	Esbjerg	0	1701	42.75%	24.44%
5	2009-09-20	16.83	Esbjerg	4	1688	35.26%	@ Nordsjaelland	0	1675	40.14%	24.59%
6	2009-07-26	16.32	@ Silkeborg	4	1684	36.81%	Midtjylland	0	1720	38.55%	24.64%
7	2009-08-02	16.04	Aalborg	5	1672	47.04%	@ HB Koge	0	1575	29.01%	23.95%
8	2010-05-06	14.51	@ Esbjerg	4	1672	42.44%	Silkeborg	0	1669	33.09%	24.47%
9	2010-03-24	13.35	Nordsjaelland	2	1667	15.10%	@ FC Copenhagen	0	1866	67.05%	17.85%
10	2009-12-06	12.69	@ Nordsjaelland	3	1653	36.02%	Midtjylland	0	1694	39.36%	24.62%
11	2010-05-09	12.58	@ Silkeborg	2	1654	18.02%	FC Copenhagen	0	1870	62.08%	19.91%
12	2010-05-01	12.44	Aarhus GF	4	1640	28.48%	@ Silkeborg	1	1681	47.67%	23.86%
13	2009-11-21	12.40	@ Midtjylland	3	1687	37.19%	Esbjerg	0	1720	38.17%	24.64%
14	2009-08-08	12.26	@ Nordsjaelland	3	1672	37.74%	Silkeborg	0	1701	37.62%	24.64%
15	2009-12-06	12.14	@ Silkeborg	3	1712	38.24%	Brondby	0	1739	37.12%	24.64%
16	2009-09-14	11.98	Aalborg	3	1701	38.87%	@ Randers	0	1662	36.50%	24.63%
17	2010-04-18	11.91	Nordsjaelland	4	1673	30.66%	@ Silkeborg	1	1696	45.13%	24.21%
18	2010-05-03	11.90	@ Sonderjyske	2	1619	20.72%	Odense	0	1799	57.90%	21.38%
19	2010-03-25	11.56	HB Koge	3	1520	15.10%	@ Brondby	1	1720	67.04%	17.85%
20	2009-07-18	11.53	@ Nordsjaelland	2	1660	22.24%	FC Copenhagen	0	1823	55.70%	22.06%
21	2009-09-27	11.27	Sonderjyske	2	1599	23.34%	@ Midtjylland	0	1689	54.18%	22.48%
22	2009-09-27	11.21	@ Silkeborg	4	1698	33.69%	Brondby	1	1757	41.80%	24.51%
23	2009-08-09	10.53	Aalborg	2	1688	26.69%	@ Brondby	0	1745	49.83%	23.48%
24	2010-05-16	10.25	@ Midtjylland	3	1695	45.90%	Silkeborg	0	1667	29.99%	24.11%
25	2010-03-20	10.23	Midtjylland	2	1690	28.14%	@ Silkeborg	0	1734	48.06%	23.79%

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	2010-05-16	82.3	@ Esbjerg	3	1682	41.91%	Nordsjaelland	3	1682	33.59%	24.50%
2	2010-03-06	79.7	@ Midtjylland	2	1682	25.13%	Odense	2	1814	51.81%	23.06%
3	2009-08-03	79.5	@ Aarhus GF	2	1680	26.54%	Odense	2	1798	50.02%	23.44%
4	2009-07-19	79.4	@ Brondby	2	1744	34.71%	Odense	2	1795	40.72%	24.57%
5	2009-10-18	79.0	@ Silkeborg	2	1713	42.99%	Esbjerg	2	1706	32.59%	24.42%
6	2010-04-01	79.0	@ Brondby	2	1714	40.47%	Silkeborg	2	1725	34.95%	24.58%
7	2009-08-22	78.6	@ Aarhus GF	2	1689	42.63%	Silkeborg	2	1684	32.92%	24.45%
8	2009-08-02	78.5	@ Nordsjaelland	2	1672	40.02%	Randers	2	1685	35.38%	24.60%
9	2009-10-31	78.4	@ Aarhus GF	2	1671	40.22%	Midtjylland	2	1683	35.18%	24.59%
10	2010-04-17	76.5	@ Midtjylland	3	1715	23.80%	FC Copenhagen	2	1861	53.56%	22.64%
11	2010-03-13	74.9	@ Odense	1	1813	66.48%	Sonderjyske	1	1619	15.42%	18.10%
12	2009-08-01	74.3	@ FC Copenhagen	1	1818	57.63%	Silkeborg	1	1700	20.90%	21.47%
13	2009-11-02	74.2	@ Odense	1	1812	57.26%	Aalborg	1	1697	21.15%	21.59%
14	2009-10-24	74.0	@ Randers	1	1640	21.37%	Odense	1	1813	56.94%	21.69%
15	2009-08-30	73.9	@ FC Copenhagen	1	1821	51.90%	Brondby	1	1748	25.06%	23.04%
16	2009-09-12	73.5	@ Odense	1	1797	38.62%	FC Copenhagen	1	1820	36.75%	24.63%
17	2009-08-16	73.4	Esbjerg	3	1668	30.86%	@ Silkeborg	2	1689	44.90%	24.23%
18	2009-10-18	73.4	@ Brondby	1	1751	51.65%	Midtjylland	1	1680	25.26%	23.10%
19	2009-07-27	73.2	Aarhus GF	3	1675	31.61%	@ Randers	2	1690	44.06%	24.32%
20	2010-03-07	73.2	@ Brondby	1	1726	56.45%	Sonderjyske	1	1618	21.71%	21.84%
21	2010-04-05	73.1	@ Silkeborg	1	1725	45.41%	Aalborg	1	1701	30.41%	24.17%
22	2010-03-22	73.0	@ Brondby	1	1721	54.19%	Randers	1	1630	23.34%	22.48%
23	2009-11-28	72.9	@ Esbjerg	1	1708	42.61%	Aalborg	1	1703	32.94%	24.45%
24	2009-10-18	72.7	@ Aalborg	1	1702	50.46%	Randers	1	1640	26.19%	23.35%
25	2009-12-07	72.7	@ Aarhus GF	1	1676	37.44%	Esbjerg	1	1708	37.92%	24.64%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2010-05-05	42.2	@ FC Copenhagen	4	1866	79.74%	HB Koge	0	1532	8.68%	11.58%
2	2010-03-28	45.0	@ Silkeborg	3	1720	65.74%	HB Koge	0	1532	15.84%	18.42%
3	2009-10-18	47.4	FC Copenhagen	2	1832	69.64%	@ HB Koge	0	1548	13.69%	16.67%
4	2010-03-21	47.5	Aalborg	3	1689	55.50%	@ HB Koge	0	1528	22.38%	22.11%
5	2009-09-20	47.7	@ FC Copenhagen	3	1821	63.78%	Randers	0	1650	16.98%	19.24%
6	2009-07-25	47.9	@ FC Copenhagen	7	1811	70.08%	HB Koge	1	1582	13.45%	16.47%
7	2010-03-07	48.1	@ FC Copenhagen	5	1848	64.04%	Aarhus GF	0	1676	16.83%	19.13%
8	2009-11-22	48.6	@ FC Copenhagen	2	1831	67.15%	Randers	0	1631	15.04%	17.81%
9	2009-08-23	48.7	@ Brondby	6	1741	65.29%	HB Koge	1	1557	16.10%	18.61%
10	2009-11-30	49.1	@ Odense	1	1821	75.18%	HB Koge	0	1540	10.86%	13.96%
11	2010-03-21	49.3	FC Copenhagen	2	1863	65.13%	@ Sonderjyske	0	1620	16.19%	18.68%
12	2010-04-05	49.6	FC Copenhagen	3	1859	58.18%	@ Nordsjaelland	0	1676	20.53%	21.29%
13	2010-03-21	50.4	@ Odense	2	1812	61.39%	Aarhus GF	0	1663	18.44%	20.17%
14	2009-09-26	50.6	@ Odense	2	1800	60.51%	Nordsjaelland	0	1658	19.00%	20.49%
15	2009-08-02	50.9	Aalborg	5	1672	47.04%	@ HB Koge	0	1575	29.01%	23.95%
16	2010-04-25	51.0	@ FC Copenhagen	2	1856	60.47%	Aalborg	0	1714	19.02%	20.50%
17	2009-11-29	51.1	@ FC Copenhagen	2	1835	59.77%	Midtjylland	0	1699	19.47%	20.75%
18	2009-10-25	51.3	@ Esbjerg	2	1706	54.61%	Sonderjyske	0	1612	23.03%	22.36%
19	2010-03-14	51.3	@ FC Copenhagen	2	1858	59.36%	Brondby	0	1726	19.74%	20.90%
20	2010-05-16	51.3	Odense	3	1780	51.10%	@ Aarhus GF	0	1653	25.68%	23.22%
21	2009-10-17	52.2	Odense	2	1808	55.29%	@ Nordsjaelland	0	1648	22.54%	22.17%
22	2010-03-07	52.4	Silkeborg	4	1725	58.90%	@ HB Koge	1	1536	20.05%	21.05%
23	2010-05-16	52.4	@ Midtjylland	3	1695	45.90%	Silkeborg	0	1667	29.99%	24.11%
24	2010-05-06	52.9	@ Esbjerg	4	1672	42.44%	Silkeborg	0	1669	33.09%	24.47%
25	2010-05-02	53.3	FC Copenhagen	2	1860	52.82%	@ Brondby	0	1720	24.36%	22.82%