2012-13 Superliga Season

198 games

Final

Champion

FC Copenhagen

65 points · 10th Title

Last Title: 2010-11

Relegated

Silkeborg

31 pts

Horsens · 34 pts

Biggest Overachiever

Randers

16.92 points above expected

52 points · 35.08 expected points

Biggest Disappointment

Horsens

9.65 points below expected

34 points · 43.65 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	18	11	4	65	62	32	+30	62.78	+2.22
2	Nordsjaelland	33	17	9	7	60	60	37	+23	58.07	+1.93
3	Randers	33	15	7	11	52	36	42	-6	35.08	+16.92
4	Esbjerg	33	13	8	12	47	38	32	+6	44.47	+2.53
5	Aalborg	33	13	8	12	47	51	46	+5	44.11	+2.89
6	Midtjylland	33	12	11	10	47	51	47	+4	47.89	-0.89
7	Aarhus GF	33	11	8	14	41	50	49	+1	46.52	-5.52
8	Sonderjyske	33	12	5	16	41	53	57	-4	41.82	-0.82
9	Brondby	33	9	12	12	39	39	45	-6	36.70	+2.30
10	Odense	33	10	8	15	38	52	59	-7	43.30	-5.30
11	Horsens Relegated	33	8	10	15	34	31	49	-18	43.65	-9.65
12	Silkeborg Relegated	33	8	7	18	31	38	66	-28	37.53	-6.53

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

Top Overachievers & Disappointments

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

Biggest Overachievers

#	Team	Actual	Sim	vsSim
1	Randers	52	35.08	+16.92
2	Aalborg	47	44.11	+2.89
3	Esbjerg	47	44.47	+2.53
4	Brondby	39	36.70	+2.30
5	FC Copenhagen	65	62.78	+2.22

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Horsens	34	43.65	-9.65
2	Silkeborg	31	37.53	-6.53
3	Aarhus GF	41	46.52	-5.52
4	Odense	38	43.30	-5.30
5	Midtjylland	47	47.89	-0.89

Top Streaks

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

Most Unlikely Winning Streaks

#	Team	Games	Dates	Probability
1	Aalborg	5	Aug 12 – Sep 16	1 in 245
2	FC Copenhagen	9	Nov 4 – Mar 15	1 in 198
3	Esbjerg	4	Apr 26 – May 16	1 in 57
4	Randers	4	Dec 8 – Mar 17	1 in 48
5	Odense	3	Aug 3 – Aug 20	1 in 36

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Odense	6	Apr 14 – May 16	1 in 381
2	Horsens	5	Nov 18 – Mar 3	1 in 205
3	Silkeborg	5	Jul 20 – Aug 18	1 in 200
4	Aarhus GF	4	Mar 29 – Apr 12	1 in 69
5	Sonderjyske	4	Aug 20 – Sep 15	1 in 69

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Randers	8	Sep 22 – Nov 19	1 in 241
2	Brondby	6	Apr 21 – May 20	1 in 57
3	Horsens	9	Sep 2 – Nov 9	1 in 49
4	FC Copenhagen	13	Jul 15 – Oct 21	1 in 33
5	Aalborg	6	Aug 4 – Sep 16	1 in 24

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	FC Copenhagen	6	Apr 21 – May 20	1 in 217
2	Brondby	12	Aug 5 – Nov 4	1 in 45
3	Midtjylland	6	Sep 17 – Oct 28	1 in 39
4	Esbjerg	8	Jul 15 – Sep 2	1 in 34
5	Odense	8	Apr 7 – May 20	1 in 33

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	1737	65	-27	3	10.2	-7.2
Nordsjaelland	1710	60	-18	8	9.7	-1.7
Randers	1558	52	-1	7	5.3	+1.7
Esbjerg	1640	47	+29	12	6.7	+5.3
Midtjylland	1648	47	+13	10	8.2	+1.8
Aalborg	1593	47	-14	5	7.1	-2.1
Sonderjyske	1588	41	+10	8	5.6	+2.4
Aarhus GF	1606	41	+10	7	6.2	+0.8
Brondby	1576	39	+41	11	4.7	+6.3
Odense	1569	38	-28	1	6.6	-5.6
Horsens	1562	34	-4	6	7.0	-1.0
Silkeborg	1517	31	-10	3	5.0	-2.0

Head-to-Head

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

Beat expectations Fell short Within expectations

Team	AAL	AG	BRO	ESB	FC	HOR	MID	NOR	ODE	RAN	SIL	SON
Aalborg	—	0-1-2 3.81	2-1-0 4.86	0-1-2 4.50	0-1-2 2.59	2-1-0 3.66	2-0-1 3.98	0-1-2 3.00	2-1-0 3.80	2-1-0 5.07	1-0-2 4.87	2-0-1 4.41
Aarhus GF	2-1-0 4.37	—	1-0-2 5.16	0-1-2 4.51	0-1-2 2.83	1-1-1 4.06	1-1-1 4.17	0-0-3 3.20	3-0-0 4.54	0-1-2 4.87	1-1-1 4.86	2-1-0 4.78
Brondby	0-1-2 3.33	2-0-1 3.06	—	0-2-1 3.56	0-2-1 2.09	2-1-0 3.61	0-3-0 3.10	1-1-1 2.19	1-0-2 3.80	1-0-2 3.86	2-1-0 4.04	0-1-2 3.97
Esbjerg	2-1-0 3.69	2-1-0 3.67	1-2-0 4.62	—	1-1-1 2.92	1-2-0 4.24	0-1-2 3.69	1-0-2 2.91	2-0-1 4.49	1-0-2 4.55	2-0-1 4.85	0-0-3 4.69
FC Copenhagen	2-1-0 5.68	2-1-0 5.43	1-2-0 6.27	1-1-1 5.32	—	1-1-1 5.47	2-1-0 5.46	3-0-0 4.45	1-2-0 5.55	2-0-1 6.02	2-0-1 6.44	1-2-0 5.57
Horsens	0-1-2 4.53	1-1-1 4.12	0-1-2 4.56	0-2-1 3.94	1-1-1 2.79	—	0-1-2 3.98	0-0-3 3.06	1-1-1 4.21	2-1-0 4.57	2-1-0 4.39	1-0-2 4.23
Midtjylland	1-0-2 4.20	1-1-1 4.01	0-3-0 5.11	2-1-0 4.49	0-1-2 2.78	2-1-0 4.20	—	1-1-1 3.22	1-1-1 4.46	2-0-1 5.28	0-2-1 5.32	2-0-1 4.99
Nordsjaelland	2-1-0 5.21	3-0-0 5.00	1-1-1 6.15	2-0-1 5.32	0-0-3 3.72	3-0-0 5.17	1-1-1 4.99	—	1-1-1 5.78	0-3-0 6.14	2-1-0 5.92	2-1-0 5.72
Odense	0-1-2 4.37	0-0-3 3.64	2-0-1 4.39	1-0-2 3.70	0-2-1 2.71	1-1-1 3.97	1-1-1 3.71	1-1-1 2.50	—	0-1-2 4.90	2-1-0 4.36	2-0-1 4.14
Randers	0-1-2 3.14	2-1-0 3.34	2-0-1 4.31	2-0-1 3.62	1-0-2 2.31	0-1-2 3.60	1-0-2 2.95	0-3-0 2.20	2-1-0 3.29	—	3-0-0 3.83	2-0-1 3.80
Silkeborg	2-0-1 3.32	1-1-1 3.34	0-1-2 4.14	1-0-2 3.34	1-0-2 1.95	0-1-2 3.79	1-2-0 2.91	0-1-2 2.38	0-1-2 3.82	0-0-3 4.35	—	2-0-1 3.79
Sonderjyske	1-0-2 3.77	0-1-2 3.41	2-1-0 4.20	3-0-0 3.49	0-2-1 2.71	2-0-1 3.96	1-0-2 3.22	0-1-2 2.56	1-0-2 4.04	1-0-2 4.39	1-0-2 4.38	—

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	0.39	+6.3
Allowed	0.64	-7.8
Differential	0.85	+5.9

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	6.06%	8.84%	5.30%	4.04%	2.02%	0.76%	27.02%
1	8.84%	11.11%	6.31%	2.78%	1.52%	0.51%	31.06%
2	5.30%	6.31%	8.08%	3.03%	1.01%	0.51%	24.24%
3	4.04%	2.78%	3.03%	1.01%	0.25%	—	11.11%
4	2.02%	1.52%	1.01%	0.25%	—	—	4.80%
5+	0.76%	0.51%	0.51%	—	—	—	1.77%
Total	27.02%	31.06%	24.24%	11.11%	4.80%	1.77%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.42	1.42	+0.00
SD	1.25	1.25	1.87
CV	0.88	0.88	—
Max	6	6	+5
Min	0	0	-5

Games Played: 198

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.55	1.39	+0.15
SD	1.42	1.14	2.06
CV	0.92	0.82	—
Max	4	4	+4
Min	0	0	-4

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.52	1.48	+0.03
SD	1.37	1.12	1.85
CV	0.91	0.76	—
Max	4	4	+4
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	12.12%	3.03%	9.09%	—	—	30.30%
1	6.06%	18.18%	3.03%	6.06%	—	—	33.33%
2	3.03%	9.09%	12.12%	3.03%	—	—	27.27%
3	3.03%	—	3.03%	—	—	—	6.06%
4	3.03%	—	—	—	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	21.21%	39.39%	21.21%	18.18%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.18	1.36	-0.18
SD	1.04	1.03	1.57
CV	0.88	0.75	—
Max	4	3	+4
Min	0	0	-3

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.15	0.97	+0.18
SD	1.30	1.10	1.65
CV	1.13	1.14	—
Max	6	3	+4
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	9.09%	3.03%	—	—	—	18.18%
1	3.03%	18.18%	—	—	—	—	21.21%
2	6.06%	15.15%	9.09%	—	—	—	30.30%
3	6.06%	3.03%	9.09%	—	—	—	18.18%
4	3.03%	3.03%	3.03%	—	—	—	9.09%
5+	3.03%	—	—	—	—	—	3.03%
Total	27.27%	48.48%	24.24%	—	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.88	0.97	+0.91
SD	1.34	0.73	1.51
CV	0.71	0.75	—
Max	5	2	+5
Min	0	0	-2

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	12.12%	9.09%	15.15%	—	3.03%	—	39.39%
1	9.09%	6.06%	3.03%	3.03%	6.06%	—	27.27%
2	15.15%	—	12.12%	—	3.03%	3.03%	33.33%
3	—	—	—	—	—	—	—
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	36.36%	15.15%	30.30%	3.03%	12.12%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.94	1.48	-0.55
SD	0.86	1.48	1.66
CV	0.92	1.00	—
Max	2	5	+2
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	—	—	3.03%	—	—	6.06%
1	12.12%	24.24%	9.09%	9.09%	—	—	54.55%
2	6.06%	3.03%	6.06%	6.06%	3.03%	—	24.24%
3	3.03%	6.06%	3.03%	—	—	—	12.12%
4	—	—	—	—	—	—	—
5+	—	—	3.03%	—	—	—	3.03%
Total	24.24%	33.33%	21.21%	18.18%	3.03%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.55	1.42	+0.12
SD	1.00	1.15	1.47
CV	0.65	0.80	—
Max	5	4	+3
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	3.03%	—	3.03%	3.03%	—	15.15%
1	15.15%	12.12%	3.03%	3.03%	3.03%	—	36.36%
2	6.06%	3.03%	9.09%	3.03%	—	—	21.21%
3	9.09%	3.03%	—	—	—	—	12.12%
4	3.03%	6.06%	3.03%	—	—	—	12.12%
5+	—	3.03%	—	—	—	—	3.03%
Total	39.39%	30.30%	15.15%	9.09%	6.06%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.82	1.12	+0.70
SD	1.45	1.22	2.04
CV	0.80	1.09	—
Max	6	4	+5
Min	0	0	-4

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.58	1.79	-0.21
SD	1.15	1.60	2.07
CV	0.73	0.89	—
Max	5	6	+5
Min	0	0	-4

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.09	1.27	-0.18
SD	0.95	1.44	1.76
CV	0.87	1.13	—
Max	3	6	+2
Min	0	0	-5

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.15	2.00	-0.85
SD	1.18	1.39	1.92
CV	1.02	0.70	—
Max	3	6	+2
Min	0	0	-5

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	3.03%	15.15%	3.03%	3.03%	3.03%	27.27%
1	6.06%	6.06%	15.15%	—	3.03%	—	30.30%
2	—	6.06%	9.09%	3.03%	—	—	18.18%
3	3.03%	9.09%	—	—	—	—	12.12%
4	—	3.03%	3.03%	—	—	—	6.06%
5+	3.03%	3.03%	—	—	—	—	6.06%
Total	12.12%	30.30%	42.42%	6.06%	6.06%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.61	1.73	-0.12
SD	1.56	1.15	2.33
CV	0.97	0.67	—
Max	6	5	+5
Min	0	0	-5

Games Played: 33

Season Summary

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

Team	Elo	Points	Avg	Luck	Percentile	Min	5th	Q1	Median	Q3	95th	Max
FC Copenhagen	1737	65	62.78	+2.22	63.0%	38	49	58	63	68	74	80
Nordsjaelland	1710	60	58.07	+1.93	64.0%	37	41	53	58	63	71	75
Midtjylland	1648	47	47.89	-0.89	47.0%	31	34	43	48	52	60	64
Esbjerg	1640	47	44.47	+2.53	64.0%	28	32	39	44	50	55	60
Aarhus GF	1606	41	46.52	-5.52	27.0%	30	34	40	47	52	60	69
Aalborg	1593	47	44.11	+2.89	69.0%	30	32	39	45	49	53	65
Sonderjyske	1588	41	41.82	-0.82	45.0%	23	28	36	43	46	54	61
Brondby	1576	39	36.70	+2.30	65.0%	20	25	32	36	41	48	59
Odense	1569	38	43.30	-5.30	29.0%	26	28	37	44	50	56	62
Horsens	1562	34	43.65	-9.65	13.0%	27	30	39	44	49	56	60
Randers	1558	52	35.08	+16.92	99.0%	18	23	28	35	40	47	60
Silkeborg	1517	31	37.53	-6.53	22.0%	19	26	32	38	43	48	53

Point Totals in Context

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

Home-Field Advantage Edge

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

Season Trends

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

Edges & Scoring

How these are measured

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

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

Home Edge

HomeDrawAway

+10.10%

Slight Edge

41.92%26.26%31.82%

Elo Value

Home Edge: 35.21 Elo pts.

232 Elo

0.004 goals per Elo point

0600

Scoring Tilt

Expected

+0.26 goals

Neutral

-2+0.15+2

Title Race

How these are measured

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

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

Title-Race Openness

2.1

One-Team Race

134610

Champion Preseason Odds

64%

FC Copenhagen, 1st of 12

LongshotFavorite

Title Margin

Expected

0.15/gm

Comfortable

00.220.5/gm

Simulation-Based Surprises

How these are measured

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

Luck Spread: Standard deviation of the gap between each team's actual points and their simulated average points. The gold line is the spread the model expected from chance alone.
As Expected: under 6.05 * Some Luck: 6.05 to 9.08 * Lucky: 9.08 to 12.11 * Wild Swing: 12.11 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 1.71 * Close: 1.71 to 2.57 * Off: 2.57 to 3.42 * Way Off: 3.42 and up.
Biggest Overachiever: The team that finished highest inside its own range of simulated outcomes. The gold line is where the top team in a league of 12 typically lands.
Biggest Underachiever: The team that finished lowest inside its own range of simulated outcomes. The gold line is where the bottom team in a league of 12 typically lands.
Season Outliers: Number of teams that finished above the 95th or below the 5th percentile of their own simulated range. Even a well-calibrated model expects about 10% of teams in the extremes.
Minimal Outliers: under 12 * As Expected: 12 to 19.2 * Several Outliers: 19.2 to 26.4 * Many Outliers: 26.4 and up.
Unexpected Relegations: Number of teams that were actually relegated but were not in the model's projected bottom field of the same size. The gold line is how many the model expected to miss on average.
As Expected: under 1.06 * A Surprise: 1.06 to 1.7 * Several Surprises: 1.7 to 2.33 * Many Surprises: 2.33 and up.

Luck Spread

Expected

6.52 points

Some Luck

07.5719

Average Finish Error

Expected

2.33

02.145

Biggest Overachiever

Expected 95.83%

99.00%

Randers

50100

Biggest Underachiever

Expected 4.17%

13.00%

Horsens

050

Season Outliers

Expected

1 of 12

Minimal Outliers

01.26

Unexpected Relegations

Expected

2 of 2

Several Surprises

01.12

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

0.12

Balanced

00.120.5

Noll-Scully

Elo SD: 64.43

1.34

Coin-Flip Parity

0.651.351.61.92.5

Interquartile Edge

61%

Slight Edge

50%59%69%100%

Best vs. Worst

Baseline

78%

Even

50%78%100%

Close Games

Expected

63%

Very Frequent

0%58%100%

Blowouts

Expected

19%

Occasional

0%18%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

0.65

Hard to Predict

00.632

Matchup Imbalance

0.27

Very Even

00.280.370.5

Strangeness

Expected

0.72

Very Predictable

01.002

Repeatability

0.32

Some Carryover

00.30.50.631

Upset Rate

Expected

33%

Very Upset-Prone

0%27%50%

Clear Favorite Upset Rate

Expected

22%

As Expected

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 0.23 * Well Above Noise: 0.23 and up.

Probability calibration

0.19

Well Calibrated

0.010.050.10.51

Calibration slope

Ideal

0.71

Overconfident

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.109

Well Within Noise

00.1170.3

Final Table Odds

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

Team	1	2	3	4	5	6	7	8	9	10	11	12
FC Copenhagen	64.00%	20.00%	9.00%	1.00%	4.00%	1.00%	—	—	1.00%	—	—	—
Nordsjaelland	27.00%	38.00%	15.00%	9.00%	3.00%	1.00%	1.00%	3.00%	1.00%	1.00%	1.00%	—
Randers	—	1.00%	—	3.00%	3.00%	6.00%	7.00%	11.00%	9.00%	11.00%	20.00%	29.00%
Esbjerg	—	8.00%	10.00%	10.00%	11.00%	17.00%	8.00%	9.00%	13.00%	10.00%	3.00%	1.00%
Aalborg	—	4.00%	9.00%	14.00%	11.00%	13.00%	11.00%	12.00%	8.00%	9.00%	5.00%	4.00%
Midtjylland	3.00%	8.00%	21.00%	11.00%	16.00%	10.00%	9.00%	6.00%	3.00%	8.00%	5.00%	—
Aarhus GF	3.00%	9.00%	13.00%	14.00%	16.00%	7.00%	7.00%	10.00%	11.00%	6.00%	2.00%	2.00%
Sonderjyske	1.00%	2.00%	6.00%	6.00%	9.00%	14.00%	17.00%	10.00%	13.00%	6.00%	5.00%	11.00%
Brondby	1.00%	—	1.00%	3.00%	4.00%	5.00%	10.00%	7.00%	11.00%	13.00%	26.00%	19.00%
Odense	1.00%	4.00%	9.00%	15.00%	11.00%	9.00%	6.00%	8.00%	10.00%	10.00%	9.00%	8.00%
Horsens	—	6.00%	6.00%	11.00%	11.00%	10.00%	13.00%	9.00%	8.00%	12.00%	8.00%	6.00%
Silkeborg	—	—	1.00%	3.00%	1.00%	7.00%	11.00%	15.00%	12.00%	14.00%	16.00%	20.00%

Points Required Per Position

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

Next-Season Status

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

Team	Same level	Direct relegation
FC Copenhagen	100%	—
Nordsjaelland	99.00%	1.00%
Aarhus GF	96.00%	4.00%
Esbjerg	96.00%	4.00%
Midtjylland	95.00%	5.00%
Aalborg	91.00%	9.00%
Horsens	86.00%	14.00%
Sonderjyske	84.00%	16.00%
Odense	83.00%	17.00%
Silkeborg	64.00%	36.00%
Brondby	55.00%	45.00%
Randers	51.00%	49.00%

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
2012-07-13	Aalborg	D 1-1	67.8	1609	1564	47.59%	26.59%	25.82%	+0.35	-0.6	1
2012-07-13	@ Aarhus GF	D 1-1	67.8	1564	1609	25.82%	26.59%	47.59%	-0.35	+0.6	1
2012-07-14	Randers	W 6-1	49.7	1597	1535	49.84%	26.05%	24.12%	+0.42	+14.0	3
2012-07-14	@ Sonderjyske	L 1-6	49.7	1535	1597	24.12%	26.05%	49.84%	-0.42	-14.0	0
2012-07-15	Midtjylland	W 4-2	63.1	1681	1640	46.95%	26.73%	26.32%	+0.33	+6.0	3
2012-07-15	@ FC Copenhagen	L 2-4	63.1	1640	1681	26.32%	26.73%	46.95%	-0.33	-6.0	0
2012-07-15	Odense	L 0-1	57.2	1563	1580	39.00%	27.78%	33.22%	+0.08	-5.6	0
2012-07-15	@ Brondby	W 1-0	57.2	1580	1563	33.22%	27.78%	39.00%	-0.08	+5.6	3
2012-07-15	Silkeborg	L 2-3	70.7	1612	1602	42.78%	27.43%	29.78%	+0.20	-5.4	0
2012-07-15	@ Esbjerg	W 3-2	70.7	1602	1612	29.78%	27.43%	42.78%	-0.20	+5.4	3
2012-07-16	Nordsjaelland	L 0-4	53.7	1636	1684	34.49%	27.83%	37.68%	-0.06	-18.3	0
2012-07-16	@ Horsens	W 4-0	53.7	1684	1636	37.68%	27.83%	34.49%	+0.06	+18.3	3
2012-07-20	Horsens	L 0-2	56.1	1607	1617	39.90%	27.72%	32.38%	+0.11	-10.8	3
2012-07-20	@ Silkeborg	W 2-0	56.1	1617	1607	32.38%	27.72%	39.90%	-0.11	+10.8	3
2012-07-21	Nordsjaelland	W 3-1	63.8	1634	1702	31.83%	27.67%	40.50%	-0.14	+9.4	3
2012-07-21	@ Midtjylland	L 1-3	63.8	1702	1634	40.50%	27.67%	31.83%	+0.14	-9.4	3
2012-07-22	Brondby	W 2-1	59.4	1565	1558	42.40%	27.48%	30.12%	+0.18	+4.4	4
2012-07-22	@ Aalborg	L 1-2	59.4	1558	1565	30.12%	27.48%	42.40%	-0.18	-4.4	0
2012-07-22	FC Copenhagen	D 1-1	69.9	1611	1687	30.84%	27.57%	41.59%	-0.18	+0.3	4
2012-07-22	@ Sonderjyske	D 1-1	69.9	1687	1611	41.59%	27.57%	30.84%	+0.18	-0.3	4
2012-07-22	Randers	L 0-1	58.9	1586	1521	50.22%	25.94%	23.84%	+0.43	-6.8	3
2012-07-22	@ Odense	W 1-0	58.9	1521	1586	23.84%	25.94%	50.22%	-0.43	+6.8	3
2012-07-23	Esbjerg	D 0-0	64.0	1609	1606	41.72%	27.56%	30.73%	+0.16	-0.3	2
2012-07-23	@ Aarhus GF	D 0-0	64.0	1606	1609	30.73%	27.56%	41.72%	-0.16	+0.3	1
2012-07-27	Midtjylland	D 2-2	75.3	1628	1644	39.17%	27.77%	33.07%	+0.08	-0.1	4
2012-07-27	@ Horsens	D 2-2	75.3	1644	1628	33.07%	27.77%	39.17%	-0.08	+0.1	4
2012-07-28	Aalborg	W 3-0	47.4	1686	1569	56.92%	23.72%	19.37%	+0.66	+8.5	7
2012-07-28	@ FC Copenhagen	L 0-3	47.4	1569	1686	19.37%	23.72%	56.92%	-0.66	-8.5	4
2012-07-28	Sonderjyske	L 1-2	65.1	1607	1611	40.75%	27.65%	31.60%	+0.13	-5.5	1
2012-07-28	@ Esbjerg	W 2-1	65.1	1611	1607	31.60%	27.65%	40.75%	-0.13	+5.5	7
2012-07-29	Aarhus GF	W 2-1	63.4	1528	1608	30.27%	27.50%	42.23%	-0.20	+5.6	6
2012-07-29	@ Randers	L 1-2	63.4	1608	1528	42.23%	27.50%	30.27%	+0.20	-5.6	2
2012-07-29	Odense	D 1-1	70.6	1693	1579	56.57%	23.85%	19.58%	+0.64	-1.1	4
2012-07-29	@ Nordsjaelland	D 1-1	70.6	1579	1693	19.58%	23.85%	56.57%	-0.64	+1.1	4
2012-07-30	Silkeborg	W 2-1	62.3	1553	1596	35.26%	27.85%	36.89%	-0.03	+5.1	3
2012-07-30	@ Brondby	L 1-2	62.3	1596	1553	36.89%	27.85%	35.26%	+0.03	-5.1	3
2012-08-03	Odense	L 0-1	59.1	1591	1580	42.94%	27.41%	29.65%	+0.20	-6.0	3
2012-08-03	@ Silkeborg	W 1-0	59.1	1580	1591	29.65%	27.41%	42.94%	-0.20	+6.0	7
2012-08-04	FC Copenhagen	L 1-2	62.6	1601	1695	28.67%	27.25%	44.08%	-0.25	-4.2	1
2012-08-04	@ Esbjerg	W 2-1	62.6	1695	1601	44.08%	27.25%	28.67%	+0.25	+4.2	10
2012-08-04	Nordsjaelland	D 1-1	69.6	1561	1692	24.62%	26.22%	49.16%	-0.41	+0.7	5
2012-08-04	@ Aalborg	D 1-1	69.6	1692	1561	49.16%	26.22%	24.62%	+0.41	-0.7	5
2012-08-05	Brondby	W 3-1	55.9	1603	1558	47.50%	26.61%	25.89%	+0.34	+6.6	5
2012-08-05	@ Aarhus GF	L 1-3	55.9	1558	1603	25.89%	26.61%	47.50%	-0.34	-6.7	3
2012-08-05	Randers	W 2-1	56.8	1644	1533	56.10%	24.03%	19.87%	+0.63	+3.0	7
2012-08-05	@ Midtjylland	L 1-2	56.8	1533	1644	19.87%	24.03%	56.10%	-0.63	-3.0	6
2012-08-06	Horsens	L 0-2	56.4	1616	1628	39.74%	27.73%	32.52%	+0.10	-10.7	7
2012-08-06	@ Sonderjyske	W 2-0	56.4	1628	1616	32.52%	27.73%	39.74%	-0.10	+10.7	7
2012-08-10	Midtjylland	W 2-1	65.0	1586	1647	32.79%	27.75%	39.46%	-0.11	+5.3	10
2012-08-10	@ Odense	L 1-2	65.0	1647	1586	39.46%	27.75%	32.79%	+0.11	-5.3	7
2012-08-11	Silkeborg	W 6-1	51.2	1691	1585	55.56%	24.23%	20.21%	+0.61	+11.8	8
2012-08-11	@ Nordsjaelland	L 1-6	51.2	1585	1691	20.21%	24.23%	55.56%	-0.61	-11.8	3
2012-08-12	Aalborg	L 1-4	61.8	1639	1562	51.86%	25.47%	22.67%	+0.48	-16.1	7
2012-08-12	@ Horsens	W 4-1	61.8	1562	1639	22.67%	25.47%	51.86%	-0.48	+16.1	8
2012-08-12	Aarhus GF	W 3-0	49.2	1699	1609	53.47%	24.96%	21.57%	+0.54	+9.4	13
2012-08-12	@ FC Copenhagen	L 0-3	49.2	1609	1699	21.57%	24.96%	53.47%	-0.54	-9.4	5
2012-08-12	Sonderjyske	L 0-1	56.1	1552	1606	33.71%	27.80%	38.48%	-0.08	-5.0	3
2012-08-12	@ Brondby	W 1-0	56.1	1606	1552	38.48%	27.80%	33.71%	+0.08	+5.0	10
2012-08-13	Esbjerg	W 1-0	57.1	1530	1597	32.05%	27.69%	40.26%	-0.13	+5.8	9
2012-08-13	@ Randers	L 0-1	57.1	1597	1530	40.26%	27.69%	32.05%	+0.13	-5.7	1
2012-08-17	Midtjylland	W 3-0	54.0	1578	1642	32.40%	27.72%	39.88%	-0.12	+15.6	11
2012-08-17	@ Aalborg	L 0-3	54.0	1642	1578	39.88%	27.72%	32.40%	+0.12	-15.6	7
2012-08-18	Brondby	D 1-1	71.1	1708	1547	62.29%	21.41%	16.31%	+0.85	-1.4	14
2012-08-18	@ FC Copenhagen	D 1-1	71.1	1547	1708	16.31%	21.41%	62.29%	-0.85	+1.4	4
2012-08-18	Randers	L 0-1	58.2	1573	1536	46.53%	26.82%	26.66%	+0.31	-6.4	3
2012-08-18	@ Silkeborg	W 1-0	58.2	1536	1573	26.66%	26.82%	46.53%	-0.31	+6.4	12
2012-08-19	Horsens	D 0-0	63.9	1591	1623	36.90%	27.85%	35.25%	+0.02	-0.0	2
2012-08-19	@ Esbjerg	D 0-0	63.9	1623	1591	35.25%	27.85%	36.90%	-0.02	+0.0	8
2012-08-19	Nordsjaelland	L 0-1	56.8	1600	1703	27.59%	27.03%	45.38%	-0.29	-4.3	5
2012-08-19	@ Aarhus GF	W 1-0	56.8	1703	1600	45.38%	27.03%	27.59%	+0.29	+4.3	11
2012-08-20	Odense	L 1-2	65.6	1611	1591	44.10%	27.25%	28.65%	+0.24	-5.8	10
2012-08-20	@ Sonderjyske	W 2-1	65.6	1591	1611	28.65%	27.25%	44.10%	-0.24	+5.8	13
2012-08-24	Sonderjyske	W 4-1	53.9	1707	1605	55.08%	24.40%	20.51%	+0.59	+7.6	14
2012-08-24	@ Nordsjaelland	L 1-4	53.9	1605	1707	20.51%	24.40%	55.08%	-0.59	-7.6	10
2012-08-25	FC Copenhagen	L 2-3	64.3	1543	1707	21.53%	24.94%	53.52%	-0.56	-3.1	12
2012-08-25	@ Randers	W 3-2	64.3	1707	1543	53.52%	24.94%	21.53%	+0.56	+3.1	17
2012-08-26	Aalborg	L 0-4	53.7	1597	1593	41.92%	27.54%	30.55%	+0.17	-21.2	13
2012-08-26	@ Odense	W 4-0	53.7	1593	1597	30.55%	27.54%	41.92%	-0.17	+21.2	14
2012-08-26	Esbjerg	D 1-1	66.5	1548	1591	35.24%	27.85%	36.91%	-0.03	+0.0	5
2012-08-26	@ Brondby	D 1-1	66.5	1591	1548	36.91%	27.85%	35.24%	+0.03	-0.0	3
2012-08-26	Silkeborg	D 1-1	68.4	1626	1567	49.47%	26.14%	24.39%	+0.41	-0.7	8
2012-08-26	@ Midtjylland	D 1-1	68.4	1567	1626	24.39%	26.14%	49.47%	-0.41	+0.7	4
2012-08-27	Aarhus GF	L 1-4	60.6	1623	1596	45.15%	27.07%	27.77%	+0.27	-14.5	8
2012-08-27	@ Horsens	W 4-1	60.6	1596	1623	27.77%	27.07%	45.15%	-0.27	+14.5	8
2012-08-31	Aalborg	L 0-4	53.3	1597	1615	38.95%	27.78%	33.27%	+0.08	-20.0	10
2012-08-31	@ Sonderjyske	W 4-0	53.3	1615	1597	33.27%	27.78%	38.95%	-0.08	+20.0	17
2012-09-01	Aarhus GF	L 0-4	51.5	1568	1610	35.32%	27.85%	36.82%	-0.03	-18.7	4
2012-09-01	@ Silkeborg	W 4-0	51.5	1610	1568	36.82%	27.85%	35.32%	+0.03	+18.7	11
2012-09-02	Brondby	D 0-0	66.9	1715	1548	62.87%	21.13%	16.00%	+0.87	-1.6	15
2012-09-02	@ Nordsjaelland	D 0-0	66.9	1548	1715	16.00%	21.13%	62.87%	-0.87	+1.6	6
2012-09-02	Esbjerg	W 1-0	55.2	1625	1591	46.11%	26.90%	26.99%	+0.30	+4.2	11
2012-09-02	@ Midtjylland	L 0-1	55.2	1591	1625	26.99%	26.90%	46.11%	-0.30	-4.2	3
2012-09-02	FC Copenhagen	D 2-2	76.0	1576	1710	24.31%	26.12%	49.57%	-0.43	+0.6	14
2012-09-02	@ Odense	D 2-2	76.0	1710	1576	49.57%	26.12%	24.31%	+0.43	-0.5	18
2012-09-02	Horsens	L 0-1	55.2	1540	1608	31.76%	27.67%	40.57%	-0.14	-4.8	12
2012-09-02	@ Randers	W 1-0	55.2	1608	1540	40.57%	27.67%	31.76%	+0.14	+4.8	11
2012-09-14	Odense	W 3-0	49.6	1587	1577	42.83%	27.43%	29.75%	+0.20	+12.5	6
2012-09-14	@ Esbjerg	L 0-3	49.6	1577	1587	29.75%	27.43%	42.83%	-0.20	-12.5	14
2012-09-15	Nordsjaelland	W 2-1	64.7	1710	1713	40.85%	27.64%	31.51%	+0.14	+4.5	21
2012-09-15	@ FC Copenhagen	L 1-2	64.7	1713	1710	31.51%	27.64%	40.85%	-0.14	-4.5	15
2012-09-15	Silkeborg	L 0-2	55.1	1577	1549	45.34%	27.04%	27.62%	+0.27	-11.9	10
2012-09-15	@ Sonderjyske	W 2-0	55.1	1549	1577	27.62%	27.04%	45.34%	-0.27	+11.8	7
2012-09-16	Horsens	D 2-2	73.1	1550	1613	32.47%	27.73%	39.80%	-0.12	+0.2	7
2012-09-16	@ Brondby	D 2-2	73.1	1613	1550	39.80%	27.73%	32.47%	+0.12	-0.1	12
2012-09-16	Randers	W 4-0	45.9	1635	1535	54.77%	24.51%	20.71%	+0.58	+11.9	20
2012-09-16	@ Aalborg	L 0-4	45.9	1535	1635	20.71%	24.51%	54.77%	-0.58	-11.8	12
2012-09-17	Midtjylland	W 3-2	68.1	1629	1629	41.29%	27.60%	31.11%	+0.15	+4.2	14
2012-09-17	@ Aarhus GF	L 2-3	68.1	1629	1629	31.11%	27.60%	41.29%	-0.15	-4.2	11
2012-09-21	Sonderjyske	D 2-2	74.5	1633	1566	50.59%	25.84%	23.57%	+0.44	-0.6	15
2012-09-21	@ Aarhus GF	D 2-2	74.5	1566	1633	23.57%	25.84%	50.59%	-0.44	+0.6	11
2012-09-22	Randers	D 1-1	71.1	1709	1523	65.06%	20.07%	14.87%	+0.95	-1.5	16
2012-09-22	@ Nordsjaelland	D 1-1	71.1	1523	1709	14.87%	20.07%	65.06%	-0.95	+1.5	13
2012-09-23	Brondby	D 1-1	68.2	1625	1550	51.61%	25.55%	22.84%	+0.48	-0.9	12
2012-09-23	@ Midtjylland	D 1-1	68.2	1550	1625	22.84%	25.55%	51.61%	-0.48	+0.9	8
2012-09-23	Odense	D 2-2	73.8	1613	1564	48.12%	26.47%	25.41%	+0.36	-0.5	13
2012-09-23	@ Horsens	D 2-2	73.8	1564	1613	25.41%	26.47%	48.12%	-0.36	+0.5	15
2012-09-23	Silkeborg	W 5-0	46.7	1714	1561	61.29%	21.87%	16.84%	+0.81	+11.7	24
2012-09-23	@ FC Copenhagen	L 0-5	46.7	1561	1714	16.84%	21.87%	61.29%	-0.81	-11.7	7
2012-09-24	Esbjerg	L 0-2	58.5	1646	1599	47.87%	26.53%	25.60%	+0.35	-12.4	20
2012-09-24	@ Aalborg	W 2-0	58.5	1599	1646	25.60%	26.53%	47.87%	-0.35	+12.4	9
2012-09-28	Esbjerg	W 3-0	49.1	1707	1612	54.21%	24.71%	21.08%	+0.56	+9.2	19
2012-09-28	@ Nordsjaelland	L 0-3	49.1	1612	1707	21.08%	24.71%	54.21%	-0.56	-9.2	9
2012-09-29	FC Copenhagen	D 1-1	70.6	1612	1726	26.45%	26.76%	46.78%	-0.34	+0.6	14
2012-09-29	@ Horsens	D 1-1	70.6	1726	1612	46.78%	26.76%	26.45%	+0.34	-0.6	25
2012-09-30	Aalborg	W 2-1	64.9	1549	1634	29.72%	27.42%	42.86%	-0.21	+5.7	10
2012-09-30	@ Silkeborg	L 1-2	64.9	1634	1549	42.86%	27.42%	29.72%	+0.21	-5.7	20
2012-09-30	Aarhus GF	L 1-2	62.0	1565	1632	31.86%	27.68%	40.46%	-0.14	-4.6	15
2012-09-30	@ Odense	W 2-1	62.0	1632	1565	40.46%	27.68%	31.86%	+0.14	+4.5	18
2012-09-30	Brondby	W 3-2	64.5	1524	1551	37.62%	27.84%	34.54%	+0.04	+4.6	16
2012-09-30	@ Randers	L 2-3	64.5	1551	1524	34.54%	27.84%	37.62%	-0.04	-4.6	8
2012-10-01	Sonderjyske	L 1-3	63.6	1624	1566	49.36%	26.17%	24.47%	+0.40	-11.0	12
2012-10-01	@ Midtjylland	W 3-1	63.6	1566	1624	24.47%	26.17%	49.36%	-0.40	+11.0	14
2012-10-05	Nordsjaelland	W 3-0	58.1	1560	1716	22.22%	25.27%	52.50%	-0.52	+19.3	18
2012-10-05	@ Odense	L 0-3	58.1	1716	1560	52.50%	25.27%	22.22%	+0.52	-19.3	19
2012-10-06	Aarhus GF	L 0-3	51.9	1577	1637	32.92%	27.76%	39.32%	-0.11	-13.6	14
2012-10-06	@ Sonderjyske	W 3-0	51.9	1637	1577	39.32%	27.76%	32.92%	+0.11	+13.6	21
2012-10-07	Aalborg	L 1-3	57.8	1546	1628	30.06%	27.47%	42.47%	-0.20	-7.5	8
2012-10-07	@ Brondby	W 3-1	57.8	1628	1546	42.47%	27.47%	30.06%	+0.20	+7.5	23
2012-10-07	FC Copenhagen	D 2-2	76.4	1603	1725	25.47%	26.49%	48.04%	-0.38	+0.5	10
2012-10-07	@ Esbjerg	D 2-2	76.4	1725	1603	48.04%	26.49%	25.47%	+0.38	-0.5	26
2012-10-07	Horsens	D 1-1	67.3	1555	1613	33.15%	27.77%	39.08%	-0.10	+0.2	11
2012-10-07	@ Silkeborg	D 1-1	67.3	1613	1555	39.08%	27.77%	33.15%	+0.10	-0.2	15
2012-10-07	Midtjylland	W 2-1	63.8	1529	1613	29.79%	27.43%	42.77%	-0.21	+5.7	19
2012-10-07	@ Randers	L 1-2	63.8	1613	1529	42.77%	27.43%	29.79%	+0.21	-5.7	12
2012-10-19	Silkeborg	W 3-0	46.4	1697	1555	59.98%	22.45%	17.57%	+0.76	+7.6	22
2012-10-19	@ Nordsjaelland	L 0-3	46.4	1555	1697	17.57%	22.45%	59.98%	-0.76	-7.6	11
2012-10-20	Sonderjyske	W 2-1	58.8	1636	1564	51.24%	25.66%	23.10%	+0.46	+3.5	26
2012-10-20	@ Aalborg	L 1-2	58.8	1564	1636	23.10%	25.66%	51.24%	-0.46	-3.5	14
2012-10-21	Brondby	W 1-0	50.3	1725	1539	65.07%	20.06%	14.87%	+0.95	+2.3	29
2012-10-21	@ FC Copenhagen	L 0-1	50.3	1539	1725	14.87%	20.06%	65.07%	-0.95	-2.3	8
2012-10-21	Esbjerg	D 0-0	64.1	1613	1603	42.75%	27.44%	29.81%	+0.19	-0.4	16
2012-10-21	@ Horsens	D 0-0	64.1	1603	1613	29.81%	27.44%	42.75%	-0.19	+0.4	11
2012-10-21	Odense	D 1-1	68.0	1608	1579	45.34%	27.04%	27.62%	+0.27	-0.5	13
2012-10-21	@ Midtjylland	D 1-1	68.0	1579	1608	27.62%	27.04%	45.34%	-0.27	+0.5	19
2012-10-22	Randers	D 1-1	69.0	1650	1535	56.77%	23.77%	19.46%	+0.65	-1.1	22
2012-10-22	@ Aarhus GF	D 1-1	69.0	1535	1650	19.46%	23.77%	56.77%	-0.65	+1.1	20
2012-10-26	Aalborg	W 1-0	55.8	1705	1639	50.32%	25.92%	23.77%	+0.43	+3.8	25
2012-10-26	@ Nordsjaelland	L 0-1	55.8	1639	1705	23.77%	25.92%	50.32%	-0.43	-3.8	26
2012-10-27	Randers	L 1-2	62.0	1547	1536	43.00%	27.40%	29.60%	+0.20	-5.7	11
2012-10-27	@ Silkeborg	W 2-1	62.0	1536	1547	29.60%	27.40%	43.00%	-0.20	+5.7	23
2012-10-28	Aarhus GF	L 2-4	63.6	1580	1649	31.64%	27.66%	40.71%	-0.15	-7.0	19
2012-10-28	@ Odense	W 4-2	63.6	1649	1580	40.71%	27.66%	31.64%	+0.15	+7.0	25
2012-10-28	Brondby	D 1-1	67.3	1607	1536	51.03%	25.72%	23.25%	+0.46	-0.8	14
2012-10-28	@ Midtjylland	D 1-1	67.3	1536	1607	23.25%	25.72%	51.03%	-0.46	+0.8	9
2012-10-28	Sonderjyske	L 1-2	65.5	1603	1560	47.38%	26.64%	25.98%	+0.34	-6.1	11
2012-10-28	@ Esbjerg	W 2-1	65.5	1560	1603	25.98%	26.64%	47.38%	-0.34	+6.1	17
2012-10-29	FC Copenhagen	W 1-0	62.9	1612	1727	26.32%	26.73%	46.95%	-0.34	+6.4	19
2012-10-29	@ Horsens	L 0-1	62.9	1727	1612	46.95%	26.73%	26.32%	+0.34	-6.5	29
2012-11-02	Silkeborg	W 1-0	52.4	1597	1542	49.03%	26.25%	24.72%	+0.39	+3.9	14
2012-11-02	@ Esbjerg	L 0-1	52.4	1542	1597	24.72%	26.25%	49.03%	-0.39	-3.9	11
2012-11-03	Nordsjaelland	L 1-2	60.4	1566	1708	23.52%	25.82%	50.66%	-0.46	-3.5	17
2012-11-03	@ Sonderjyske	W 2-1	60.4	1708	1566	50.66%	25.82%	23.52%	+0.46	+3.5	28
2012-11-04	FC Copenhagen	L 0-2	55.9	1656	1720	32.36%	27.72%	39.92%	-0.12	-9.2	25
2012-11-04	@ Aarhus GF	W 2-0	55.9	1720	1656	39.92%	27.72%	32.36%	+0.12	+9.2	32
2012-11-04	Horsens	D 0-0	62.7	1542	1619	30.66%	27.55%	41.80%	-0.18	+0.4	24
2012-11-04	@ Randers	D 0-0	62.7	1619	1542	41.80%	27.55%	30.66%	+0.18	-0.3	20
2012-11-04	Odense	L 0-3	50.2	1537	1573	36.31%	27.86%	35.83%	+0.00	-14.6	9
2012-11-04	@ Brondby	W 3-0	50.2	1573	1537	35.83%	27.86%	36.31%	+0.00	+14.6	22
2012-11-05	Midtjylland	L 1-3	63.7	1636	1606	45.46%	27.02%	27.52%	+0.28	-10.3	26
2012-11-05	@ Aalborg	W 3-1	63.7	1606	1636	27.52%	27.02%	45.46%	-0.28	+10.3	17
2012-11-09	Aarhus GF	W 2-0	55.4	1618	1647	37.29%	27.85%	34.86%	+0.03	+9.8	23
2012-11-09	@ Horsens	L 0-2	55.4	1647	1618	34.86%	27.85%	37.29%	-0.03	-9.7	25
2012-11-10	Randers	D 2-2	77.0	1712	1542	63.27%	20.94%	15.79%	+0.89	-1.1	29
2012-11-10	@ Nordsjaelland	D 2-2	77.0	1542	1712	15.79%	20.94%	63.27%	-0.89	+1.1	25
2012-11-11	Aalborg	W 4-0	48.8	1730	1625	55.35%	24.31%	20.34%	+0.60	+11.6	35
2012-11-11	@ FC Copenhagen	L 0-4	48.8	1625	1730	20.34%	24.31%	55.35%	-0.60	-11.6	26
2012-11-11	Brondby	L 1-2	61.3	1538	1523	43.50%	27.34%	29.17%	+0.22	-5.7	11
2012-11-11	@ Silkeborg	W 2-1	61.3	1523	1538	29.17%	27.34%	43.50%	-0.22	+5.7	12
2012-11-11	Sonderjyske	W 5-0	49.0	1587	1563	44.82%	27.13%	28.05%	+0.26	+19.2	25
2012-11-11	@ Odense	L 0-5	49.0	1563	1587	28.05%	27.13%	44.82%	-0.26	-19.2	17
2012-11-12	Esbjerg	D 0-0	64.2	1617	1601	43.53%	27.33%	29.14%	+0.22	-0.5	18
2012-11-12	@ Midtjylland	D 0-0	64.2	1601	1617	29.14%	27.33%	43.53%	-0.22	+0.5	15
2012-11-16	Nordsjaelland	L 0-2	55.2	1637	1711	31.14%	27.60%	41.26%	-0.17	-9.0	25
2012-11-16	@ Aarhus GF	W 2-0	55.2	1711	1637	41.26%	27.60%	31.14%	+0.17	+8.9	32
2012-11-17	Silkeborg	L 2-3	66.9	1543	1532	42.98%	27.41%	29.61%	+0.20	-5.4	17
2012-11-17	@ Sonderjyske	W 3-2	66.9	1532	1543	29.61%	27.41%	42.98%	-0.20	+5.4	14
2012-11-18	Esbjerg	D 2-2	72.2	1528	1602	31.16%	27.61%	41.23%	-0.16	+0.2	13
2012-11-18	@ Brondby	D 2-2	72.2	1602	1528	41.23%	27.61%	31.16%	+0.16	-0.2	16
2012-11-18	Horsens	W 2-0	54.4	1614	1628	39.31%	27.76%	32.93%	+0.09	+9.3	29
2012-11-18	@ Aalborg	L 0-2	54.4	1628	1614	32.93%	27.76%	39.31%	-0.09	-9.3	23
2012-11-18	Midtjylland	W 2-1	59.1	1741	1616	57.93%	23.31%	18.76%	+0.69	+2.8	38
2012-11-18	@ FC Copenhagen	L 1-2	59.1	1616	1741	18.76%	23.31%	57.93%	-0.69	-2.8	18
2012-11-19	Odense	W 3-2	68.4	1543	1607	32.42%	27.72%	39.85%	-0.12	+5.1	28
2012-11-19	@ Randers	L 2-3	68.4	1607	1543	39.85%	27.72%	32.42%	+0.12	-5.1	25
2012-11-23	Aalborg	L 0-1	55.5	1548	1623	30.95%	27.58%	41.46%	-0.17	-4.7	28
2012-11-23	@ Randers	W 1-0	55.5	1623	1548	41.46%	27.58%	30.95%	+0.17	+4.7	32
2012-11-24	Odense	L 0-2	51.8	1537	1601	32.36%	27.72%	39.92%	-0.12	-9.2	14
2012-11-24	@ Silkeborg	W 2-0	51.8	1601	1537	39.92%	27.72%	32.36%	+0.12	+9.2	28
2012-11-25	FC Copenhagen	L 1-2	58.0	1538	1744	18.29%	22.98%	58.73%	-0.74	-2.7	17
2012-11-25	@ Sonderjyske	W 2-1	58.0	1744	1538	58.73%	22.98%	18.29%	+0.74	+2.7	41
2012-11-25	Horsens	W 2-0	55.3	1529	1619	29.07%	27.32%	43.61%	-0.24	+11.5	16
2012-11-25	@ Brondby	L 0-2	55.3	1619	1529	43.61%	27.32%	29.07%	+0.24	-11.5	23
2012-11-25	Nordsjaelland	W 1-0	62.9	1601	1720	25.91%	26.62%	47.47%	-0.36	+6.5	19
2012-11-25	@ Esbjerg	L 0-1	62.9	1720	1601	47.47%	26.62%	25.91%	+0.36	-6.5	32
2012-11-26	Midtjylland	D 1-1	69.1	1628	1613	43.50%	27.33%	29.16%	+0.22	-0.4	26
2012-11-26	@ Aarhus GF	D 1-1	69.1	1613	1628	29.16%	27.33%	43.50%	-0.22	+0.4	19
2012-11-30	Sonderjyske	L 1-3	62.7	1607	1535	51.20%	25.67%	23.13%	+0.46	-11.3	23
2012-11-30	@ Horsens	W 3-1	62.7	1535	1607	23.13%	25.67%	51.20%	-0.46	+11.3	20
2012-12-01	Esbjerg	W 3-0	51.2	1611	1608	41.76%	27.55%	30.69%	+0.16	+12.8	31
2012-12-01	@ Odense	L 0-3	51.2	1608	1611	30.69%	27.55%	41.76%	-0.16	-12.8	19
2012-12-02	Brondby	W 3-0	45.3	1713	1540	63.63%	20.77%	15.60%	+0.90	+6.7	35
2012-12-02	@ Nordsjaelland	L 0-3	45.3	1540	1713	15.60%	20.77%	63.63%	-0.90	-6.7	16
2012-12-02	Randers	W 2-0	46.8	1747	1543	67.02%	19.07%	13.90%	+1.03	+4.0	44
2012-12-02	@ FC Copenhagen	L 0-2	46.8	1543	1747	13.90%	19.07%	67.02%	-1.03	-4.0	28
2012-12-02	Silkeborg	L 1-3	63.1	1614	1528	52.95%	25.13%	21.92%	+0.52	-11.6	19
2012-12-02	@ Midtjylland	W 3-1	63.1	1528	1614	21.92%	25.13%	52.95%	-0.52	+11.6	17
2012-12-03	Aarhus GF	L 0-3	55.1	1628	1628	41.33%	27.60%	31.07%	+0.15	-16.0	32
2012-12-03	@ Aalborg	W 3-0	55.1	1628	1628	31.07%	27.60%	41.33%	-0.15	+16.0	29
2012-12-07	Brondby	D 2-2	70.6	1547	1533	43.22%	27.37%	29.40%	+0.21	-0.3	21
2012-12-07	@ Sonderjyske	D 2-2	70.6	1533	1547	29.40%	27.37%	43.22%	-0.21	+0.3	17
2012-12-08	Esbjerg	W 2-1	62.4	1539	1595	33.47%	27.79%	38.74%	-0.09	+5.3	31
2012-12-08	@ Randers	L 1-2	62.4	1595	1539	38.74%	27.79%	33.47%	+0.09	-5.3	19
2012-12-09	Midtjylland	L 0-2	55.7	1596	1602	40.52%	27.67%	31.81%	+0.13	-10.9	23
2012-12-09	@ Horsens	W 2-0	55.7	1602	1596	31.81%	27.67%	40.52%	-0.13	+10.9	22
2012-12-09	Nordsjaelland	W 4-1	58.0	1751	1720	45.67%	26.98%	27.35%	+0.28	+9.9	47
2012-12-09	@ FC Copenhagen	L 1-4	58.0	1720	1751	27.35%	26.98%	45.67%	-0.28	-9.9	35
2012-12-10	Silkeborg	D 3-3	78.6	1644	1540	55.34%	24.31%	20.35%	+0.60	-0.7	30
2012-12-10	@ Aarhus GF	D 3-3	78.6	1540	1644	20.35%	24.31%	55.34%	-0.60	+0.7	18
2013-03-01	Aalborg	W 3-2	68.8	1540	1612	31.42%	27.63%	40.94%	-0.16	+5.2	21
2013-03-01	@ Silkeborg	L 2-3	68.8	1612	1540	40.94%	27.63%	31.42%	+0.16	-5.2	32
2013-03-02	Sonderjyske	W 1-0	52.5	1613	1546	50.50%	25.87%	23.63%	+0.44	+3.8	25
2013-03-02	@ Midtjylland	L 0-1	52.5	1546	1613	23.63%	25.87%	50.50%	-0.44	-3.8	21
2013-03-03	FC Copenhagen	L 2-3	67.0	1624	1761	24.01%	26.01%	49.99%	-0.44	-3.4	31
2013-03-03	@ Odense	W 3-2	67.0	1761	1624	49.99%	26.01%	24.01%	+0.44	+3.4	50
2013-03-03	Horsens	W 1-0	53.0	1710	1585	57.90%	23.33%	18.78%	+0.69	+3.0	38
2013-03-03	@ Nordsjaelland	L 0-1	53.0	1585	1710	18.78%	23.33%	57.90%	-0.69	-3.0	23
2013-03-03	Randers	L 0-2	52.1	1534	1545	39.84%	27.73%	32.44%	+0.10	-10.7	17
2013-03-03	@ Brondby	W 2-0	52.1	1545	1534	32.44%	27.73%	39.84%	-0.10	+10.7	34
2013-03-04	Aarhus GF	W 2-1	64.7	1590	1643	33.77%	27.81%	38.42%	-0.08	+5.2	22
2013-03-04	@ Esbjerg	L 1-2	64.7	1643	1590	38.42%	27.81%	33.77%	+0.08	-5.2	30
2013-03-06	Odense	D 2-2	74.5	1607	1620	39.45%	27.75%	32.80%	+0.09	-0.1	33
2013-03-06	@ Aalborg	D 2-2	74.5	1620	1607	32.80%	27.75%	39.45%	-0.09	+0.1	32
2013-03-08	Sonderjyske	W 2-0	49.5	1555	1543	43.18%	27.38%	29.44%	+0.21	+8.6	37
2013-03-08	@ Randers	L 0-2	49.5	1543	1555	29.44%	27.38%	43.18%	-0.21	-8.6	21
2013-03-09	Esbjerg	D 0-0	63.8	1606	1595	42.96%	27.41%	29.63%	+0.20	-0.4	34
2013-03-09	@ Aalborg	D 0-0	63.8	1595	1606	29.63%	27.41%	42.96%	-0.20	+0.4	23
2013-03-10	Brondby	L 0-3	56.6	1638	1523	56.70%	23.80%	19.50%	+0.65	-20.5	30
2013-03-10	@ Aarhus GF	W 3-0	56.6	1523	1638	19.50%	23.80%	56.70%	-0.65	+20.5	20
2013-03-10	Odense	W 2-0	54.6	1582	1620	35.95%	27.86%	36.19%	-0.01	+10.0	26
2013-03-10	@ Horsens	L 0-2	54.6	1620	1582	36.19%	27.86%	35.95%	+0.01	-10.0	32
2013-03-10	Silkeborg	W 3-1	52.4	1764	1546	68.64%	18.23%	13.13%	+1.09	+3.2	53
2013-03-10	@ FC Copenhagen	L 1-3	52.4	1546	1764	13.13%	18.23%	68.64%	-1.09	-3.2	21
2013-03-11	Nordsjaelland	D 1-1	70.4	1617	1713	28.36%	27.19%	44.45%	-0.26	+0.5	26
2013-03-11	@ Midtjylland	D 1-1	70.4	1713	1617	44.45%	27.19%	28.36%	+0.26	-0.5	39
2013-03-15	Horsens	W 2-1	57.4	1767	1592	63.84%	20.67%	15.49%	+0.91	+2.3	56
2013-03-15	@ FC Copenhagen	L 1-2	57.4	1592	1767	15.49%	20.67%	63.84%	-0.91	-2.3	26
2013-03-17	Midtjylland	D 1-1	67.2	1543	1617	31.10%	27.60%	41.30%	-0.17	+0.3	21
2013-03-17	@ Brondby	D 1-1	67.2	1617	1543	41.30%	27.60%	31.10%	+0.17	-0.3	27
2013-03-17	Odense	W 2-1	62.0	1618	1610	42.43%	27.48%	30.09%	+0.18	+4.4	33
2013-03-17	@ Aarhus GF	L 1-2	62.0	1610	1618	30.09%	27.48%	42.43%	-0.18	-4.4	32
2013-03-17	Silkeborg	W 1-0	52.8	1564	1542	44.38%	27.20%	28.41%	+0.24	+4.4	40
2013-03-17	@ Randers	L 0-1	52.8	1542	1564	28.41%	27.20%	44.38%	-0.24	-4.4	21
2013-03-28	Aalborg	D 2-2	73.9	1590	1606	39.11%	27.77%	33.12%	+0.08	-0.1	27
2013-03-28	@ Horsens	D 2-2	73.9	1606	1590	33.12%	27.77%	39.11%	-0.08	+0.1	35
2013-03-28	Randers	D 0-0	63.3	1606	1568	46.59%	26.80%	26.61%	+0.31	-0.6	33
2013-03-28	@ Odense	D 0-0	63.3	1568	1606	26.61%	26.80%	46.59%	-0.31	+0.7	41
2013-03-28	Sonderjyske	L 0-5	50.8	1538	1534	41.94%	27.53%	30.52%	+0.17	-26.1	21
2013-03-28	@ Silkeborg	W 5-0	50.8	1534	1538	30.52%	27.53%	41.94%	-0.17	+26.1	24
2013-03-29	Aarhus GF	W 4-2	61.2	1713	1622	53.60%	24.92%	21.48%	+0.54	+5.0	42
2013-03-29	@ Nordsjaelland	L 2-4	61.2	1622	1713	21.48%	24.92%	53.60%	-0.54	-5.0	33
2013-03-29	Brondby	W 1-0	52.5	1596	1544	48.51%	26.38%	25.11%	+0.38	+4.0	26
2013-03-29	@ Esbjerg	L 0-1	52.5	1544	1596	25.11%	26.38%	48.51%	-0.38	-4.0	21
2013-03-29	FC Copenhagen	D 2-2	77.3	1617	1770	22.56%	25.42%	52.02%	-0.51	+0.7	28
2013-03-29	@ Midtjylland	D 2-2	77.3	1770	1617	52.02%	25.42%	22.56%	+0.51	-0.7	57
2013-03-31	Horsens	W 2-0	52.1	1605	1590	43.53%	27.33%	29.14%	+0.22	+8.5	36
2013-03-31	@ Odense	L 0-2	52.1	1590	1605	29.14%	27.33%	43.53%	-0.22	-8.5	27
2013-03-31	Randers	L 0-2	53.8	1560	1569	40.12%	27.70%	32.18%	+0.11	-10.8	24
2013-03-31	@ Sonderjyske	W 2-0	53.8	1569	1560	32.18%	27.70%	40.12%	-0.11	+10.8	44
2013-04-01	Aalborg	W 1-0	56.6	1600	1606	40.45%	27.68%	31.87%	+0.12	+4.8	29
2013-04-01	@ Esbjerg	L 0-1	56.6	1606	1600	31.87%	27.68%	40.45%	-0.12	-4.8	35
2013-04-01	Aarhus GF	W 3-2	69.1	1540	1617	30.66%	27.55%	41.79%	-0.18	+5.3	24
2013-04-01	@ Brondby	L 2-3	69.1	1617	1540	41.79%	27.55%	30.66%	+0.18	-5.3	33
2013-04-01	FC Copenhagen	W 1-0	65.6	1512	1769	15.05%	20.24%	64.71%	-0.96	+8.3	24
2013-04-01	@ Silkeborg	L 0-1	65.6	1769	1512	64.71%	20.24%	15.05%	+0.96	-8.3	57
2013-04-01	Midtjylland	W 3-1	56.8	1718	1618	54.80%	24.50%	20.69%	+0.58	+5.4	45
2013-04-01	@ Nordsjaelland	L 1-3	56.8	1618	1718	20.69%	24.50%	54.80%	-0.58	-5.4	28
2013-04-04	Nordsjaelland	L 0-1	56.3	1601	1723	25.55%	26.51%	47.94%	-0.37	-4.0	35
2013-04-04	@ Aalborg	W 1-0	56.3	1723	1601	47.94%	26.51%	25.55%	+0.37	+4.0	48
2013-04-05	Esbjerg	L 0-1	60.0	1612	1604	42.43%	27.48%	30.10%	+0.18	-6.0	33
2013-04-05	@ Aarhus GF	W 1-0	60.0	1604	1612	30.10%	27.48%	42.43%	-0.18	+6.0	32
2013-04-06	Midtjylland	L 0-2	52.4	1549	1612	32.51%	27.73%	39.76%	-0.12	-9.2	24
2013-04-06	@ Sonderjyske	W 2-0	52.4	1612	1549	39.76%	27.73%	32.51%	+0.12	+9.2	31
2013-04-07	Brondby	L 0-1	58.6	1580	1545	46.20%	26.88%	26.92%	+0.30	-6.4	44
2013-04-07	@ Randers	W 1-0	58.6	1545	1580	26.92%	26.88%	46.20%	-0.30	+6.4	27
2013-04-07	Nordsjaelland	L 0-2	51.8	1581	1727	23.19%	25.69%	51.11%	-0.48	-7.0	27
2013-04-07	@ Horsens	W 2-0	51.8	1727	1581	51.11%	25.69%	23.19%	+0.48	+7.0	51
2013-04-07	Odense	D 1-1	72.3	1761	1614	60.56%	22.19%	17.24%	+0.79	-1.3	58
2013-04-07	@ FC Copenhagen	D 1-1	72.3	1614	1761	17.24%	22.19%	60.56%	-0.79	+1.3	37
2013-04-08	Silkeborg	W 1-0	50.9	1597	1520	51.85%	25.47%	22.67%	+0.48	+3.6	38
2013-04-08	@ Aalborg	L 0-1	50.9	1520	1597	22.67%	25.47%	51.85%	-0.48	-3.6	24
2013-04-09	Esbjerg	W 3-1	60.4	1540	1610	31.55%	27.65%	40.80%	-0.15	+9.5	27
2013-04-09	@ Sonderjyske	L 1-3	60.4	1610	1540	40.80%	27.65%	31.55%	+0.15	-9.5	32
2013-04-12	Aarhus GF	W 3-1	60.3	1517	1606	29.19%	27.34%	43.47%	-0.23	+9.9	27
2013-04-12	@ Silkeborg	L 1-3	60.3	1606	1517	43.47%	27.34%	29.19%	+0.23	-9.9	33
2013-04-13	Horsens	W 5-2	56.9	1621	1574	47.88%	26.53%	25.59%	+0.35	+8.1	34
2013-04-13	@ Midtjylland	L 2-5	56.9	1574	1621	25.59%	26.53%	47.88%	-0.35	-8.1	27
2013-04-14	Aalborg	L 3-4	73.7	1615	1601	43.37%	27.35%	29.27%	+0.21	-5.3	37
2013-04-14	@ Odense	W 4-3	73.7	1601	1615	29.27%	27.35%	43.37%	-0.21	+5.3	41
2013-04-14	Randers	W 4-0	48.9	1601	1573	45.20%	27.06%	27.73%	+0.27	+15.5	35
2013-04-14	@ Esbjerg	L 0-4	48.9	1573	1601	27.73%	27.06%	45.20%	-0.27	-15.5	44
2013-04-14	Sonderjyske	L 0-3	51.4	1551	1550	41.65%	27.56%	30.78%	+0.16	-16.1	27
2013-04-14	@ Brondby	W 3-0	51.4	1550	1551	30.78%	27.56%	41.65%	-0.16	+16.1	30
2013-04-15	FC Copenhagen	L 2-3	72.2	1734	1759	37.77%	27.83%	34.39%	+0.04	-4.9	51
2013-04-15	@ Nordsjaelland	W 3-2	72.2	1759	1734	34.39%	27.83%	37.77%	-0.04	+4.9	61
2013-04-20	Horsens	D 0-0	63.0	1596	1566	45.49%	27.01%	27.49%	+0.28	-0.6	34
2013-04-20	@ Aarhus GF	D 0-0	63.0	1566	1596	27.49%	27.01%	45.49%	-0.28	+0.6	28
2013-04-21	FC Copenhagen	D 1-1	71.4	1606	1764	22.07%	25.20%	52.73%	-0.53	+0.9	42
2013-04-21	@ Aalborg	D 1-1	71.4	1764	1606	52.73%	25.20%	22.07%	+0.53	-0.9	62
2013-04-21	Nordsjaelland	D 0-0	66.2	1558	1729	20.95%	24.64%	54.40%	-0.59	+1.1	45
2013-04-21	@ Randers	D 0-0	66.2	1729	1558	54.40%	24.64%	20.95%	+0.59	-1.1	52
2013-04-21	Odense	W 4-1	57.5	1566	1610	35.08%	27.85%	37.07%	-0.04	+12.5	33
2013-04-21	@ Sonderjyske	L 1-4	57.5	1610	1566	37.07%	27.85%	35.08%	+0.04	-12.5	37
2013-04-21	Silkeborg	D 2-2	70.0	1535	1526	42.62%	27.45%	29.93%	+0.19	-0.3	28
2013-04-21	@ Brondby	D 2-2	70.0	1526	1535	29.93%	27.45%	42.62%	-0.19	+0.3	28
2013-04-22	Midtjylland	L 0-1	59.7	1616	1630	39.50%	27.75%	32.75%	+0.09	-5.7	35
2013-04-22	@ Esbjerg	W 1-0	59.7	1630	1616	32.75%	27.75%	39.50%	-0.09	+5.7	37
2013-04-26	Esbjerg	L 0-1	54.2	1527	1611	29.84%	27.44%	42.72%	-0.21	-4.6	28
2013-04-26	@ Silkeborg	W 1-0	54.2	1611	1527	42.72%	27.44%	29.84%	+0.21	+4.6	38
2013-04-27	Sonderjyske	D 2-2	77.5	1728	1578	60.91%	22.04%	17.05%	+0.80	-1.0	53
2013-04-27	@ Nordsjaelland	D 2-2	77.5	1578	1728	17.05%	22.04%	60.91%	-0.80	+1.0	34
2013-04-28	Aarhus GF	D 0-0	68.0	1763	1595	63.03%	21.06%	15.91%	+0.88	-1.6	63
2013-04-28	@ FC Copenhagen	D 0-0	68.0	1595	1763	15.91%	21.06%	63.03%	-0.88	+1.6	35
2013-04-28	Brondby	L 1-2	65.2	1597	1535	49.90%	26.03%	24.07%	+0.42	-6.4	37
2013-04-28	@ Odense	W 2-1	65.2	1535	1597	24.07%	26.03%	49.90%	-0.42	+6.4	31
2013-04-28	Randers	W 1-0	54.0	1567	1559	42.48%	27.47%	30.05%	+0.19	+4.6	31
2013-04-28	@ Horsens	L 0-1	54.0	1559	1567	30.05%	27.47%	42.48%	-0.19	-4.6	45
2013-04-29	Aalborg	L 2-3	71.9	1635	1607	45.30%	27.05%	27.65%	+0.27	-5.6	37
2013-04-29	@ Midtjylland	W 3-2	71.9	1607	1635	27.65%	27.05%	45.30%	-0.27	+5.6	45
2013-05-03	Nordsjaelland	D 2-2	76.3	1522	1727	18.37%	23.04%	58.58%	-0.73	+0.9	29
2013-05-03	@ Silkeborg	D 2-2	76.3	1727	1522	58.58%	23.04%	18.37%	+0.73	-0.9	54
2013-05-04	Aalborg	W 1-0	57.5	1579	1613	36.59%	27.86%	35.55%	+0.01	+5.2	37
2013-05-04	@ Sonderjyske	L 0-1	57.5	1613	1579	35.55%	27.86%	36.59%	-0.01	-5.2	45
2013-05-05	Aarhus GF	W 1-0	56.8	1554	1597	35.31%	27.85%	36.83%	-0.03	+5.4	48
2013-05-05	@ Randers	L 0-1	56.8	1597	1554	36.83%	27.85%	35.31%	+0.03	-5.4	35
2013-05-05	FC Copenhagen	D 0-0	67.1	1541	1762	17.31%	22.25%	60.44%	-0.80	+1.5	32
2013-05-05	@ Brondby	D 0-0	67.1	1762	1541	60.44%	22.25%	17.31%	+0.80	-1.5	64
2013-05-05	Horsens	W 1-0	54.1	1615	1572	47.42%	26.63%	25.95%	+0.34	+4.1	41
2013-05-05	@ Esbjerg	L 0-1	54.1	1572	1615	25.95%	26.63%	47.42%	-0.34	-4.1	31
2013-05-06	Midtjylland	L 0-1	58.2	1591	1630	35.85%	27.86%	36.29%	-0.01	-5.3	37
2013-05-06	@ Odense	W 1-0	58.2	1630	1591	36.29%	27.86%	35.85%	+0.01	+5.3	40
2013-05-10	Odense	W 4-1	52.5	1726	1586	59.79%	22.53%	17.68%	+0.76	+6.5	57
2013-05-10	@ Nordsjaelland	L 1-4	52.5	1586	1726	17.68%	22.53%	59.79%	-0.76	-6.5	37
2013-05-11	Sonderjyske	W 2-1	60.9	1592	1584	42.39%	27.48%	30.13%	+0.18	+4.4	38
2013-05-11	@ Aarhus GF	L 1-2	60.9	1584	1592	30.13%	27.48%	42.39%	-0.18	-4.4	37
2013-05-12	Brondby	D 1-1	67.4	1607	1543	50.21%	25.95%	23.85%	+0.43	-0.8	46
2013-05-12	@ Aalborg	D 1-1	67.4	1543	1607	23.85%	25.95%	50.21%	-0.43	+0.8	33
2013-05-12	Esbjerg	L 0-2	62.6	1760	1619	59.84%	22.51%	17.65%	+0.76	-14.7	64
2013-05-12	@ FC Copenhagen	W 2-0	62.6	1619	1760	17.65%	22.51%	59.84%	-0.76	+14.7	44
2013-05-12	Randers	W 3-0	47.8	1635	1560	51.59%	25.55%	22.86%	+0.48	+10.0	43
2013-05-12	@ Midtjylland	L 0-3	47.8	1560	1635	22.86%	25.55%	51.59%	-0.48	-10.0	48
2013-05-13	Silkeborg	W 2-0	48.0	1567	1523	47.52%	26.61%	25.88%	+0.34	+7.7	34
2013-05-13	@ Horsens	L 0-2	48.0	1523	1567	25.88%	26.61%	47.52%	-0.34	-7.7	29
2013-05-16	Aalborg	W 3-0	51.4	1596	1607	39.86%	27.72%	32.42%	+0.11	+13.4	41
2013-05-16	@ Aarhus GF	L 0-3	51.4	1607	1596	32.42%	27.72%	39.86%	-0.11	-13.4	46
2013-05-16	FC Copenhagen	W 1-0	64.6	1550	1746	19.04%	23.50%	57.46%	-0.69	+7.6	51
2013-05-16	@ Randers	L 0-1	64.6	1746	1550	57.46%	23.50%	19.04%	+0.69	-7.6	64
2013-05-16	Horsens	W 4-2	61.4	1580	1575	42.06%	27.52%	30.42%	+0.17	+6.8	40
2013-05-16	@ Sonderjyske	L 2-4	61.4	1575	1580	30.42%	27.52%	42.06%	-0.17	-6.8	34
2013-05-16	Midtjylland	D 1-1	67.6	1515	1645	24.77%	26.27%	48.96%	-0.41	+0.7	30
2013-05-16	@ Silkeborg	D 1-1	67.6	1645	1515	48.96%	26.27%	24.77%	+0.41	-0.7	44
2013-05-16	Nordsjaelland	W 4-0	58.6	1544	1733	19.55%	23.83%	56.62%	-0.66	+26.7	36
2013-05-16	@ Brondby	L 0-4	58.6	1733	1544	56.62%	23.83%	19.55%	+0.66	-26.7	57
2013-05-16	Odense	W 6-2	54.4	1634	1579	48.92%	26.28%	24.80%	+0.39	+9.9	47
2013-05-16	@ Esbjerg	L 2-6	54.4	1579	1634	24.80%	26.28%	48.92%	-0.39	-9.9	37
2013-05-20	Aarhus GF	W 3-2	66.6	1644	1609	46.22%	26.88%	26.91%	+0.30	+3.8	47
2013-05-20	@ Midtjylland	L 2-3	66.6	1609	1644	26.91%	26.88%	46.22%	-0.30	-3.8	41
2013-05-20	Brondby	L 0-1	57.7	1568	1570	41.08%	27.62%	31.30%	+0.14	-5.8	34
2013-05-20	@ Horsens	W 1-0	57.7	1570	1568	31.30%	27.62%	41.08%	-0.14	+5.8	39
2013-05-20	Esbjerg	W 1-0	56.0	1706	1644	49.87%	26.04%	24.10%	+0.42	+3.8	60
2013-05-20	@ Nordsjaelland	L 0-1	56.0	1644	1706	24.10%	26.04%	49.87%	-0.42	-3.8	47
2013-05-20	Randers	D 2-2	73.0	1593	1557	46.36%	26.85%	26.79%	+0.31	-0.4	47
2013-05-20	@ Aalborg	D 2-2	73.0	1557	1593	26.79%	26.85%	46.36%	-0.31	+0.4	52
2013-05-20	Silkeborg	D 3-3	75.2	1569	1516	48.69%	26.34%	24.97%	+0.38	-0.4	38
2013-05-20	@ Odense	D 3-3	75.2	1516	1569	24.97%	26.34%	48.69%	-0.38	+0.4	31
2013-05-20	Sonderjyske	D 1-1	71.9	1738	1587	61.06%	21.97%	16.97%	+0.80	-1.4	65
2013-05-20	@ FC Copenhagen	D 1-1	71.9	1587	1738	16.97%	21.97%	61.06%	-0.80	+1.4	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	2013-04-01	15.05%	@ Silkeborg	1512	1	FC Copenhagen	1769	0
2	2013-05-12	17.65%	Esbjerg	1619	2	@ FC Copenhagen	1760	0
3	2013-05-16	19.04%	@ Randers	1550	1	FC Copenhagen	1746	0
4	2013-03-10	19.50%	Brondby	1523	3	@ Aarhus GF	1638	0
5	2013-05-16	19.55%	@ Brondby	1544	4	Nordsjaelland	1733	0
6	2012-12-02	21.92%	Silkeborg	1528	3	@ Midtjylland	1614	1
7	2012-10-05	22.22%	@ Odense	1560	3	Nordsjaelland	1716	0
8	2012-08-12	22.67%	Aalborg	1562	4	@ Horsens	1639	1
9	2012-11-30	23.13%	Sonderjyske	1535	3	@ Horsens	1607	1
10	2012-07-22	23.84%	Randers	1521	1	@ Odense	1586	0
11	2013-04-28	24.07%	Brondby	1535	2	@ Odense	1597	1
12	2012-10-01	24.47%	Sonderjyske	1566	3	@ Midtjylland	1624	1
13	2012-09-24	25.60%	Esbjerg	1599	2	@ Aalborg	1646	0
14	2012-11-25	25.91%	@ Esbjerg	1601	1	Nordsjaelland	1720	0
15	2012-10-28	25.98%	Sonderjyske	1560	2	@ Esbjerg	1603	1
16	2012-10-29	26.32%	@ Horsens	1612	1	FC Copenhagen	1727	0
17	2012-08-18	26.66%	Randers	1536	1	@ Silkeborg	1573	0
18	2013-04-07	26.92%	Brondby	1545	1	@ Randers	1580	0
19	2012-11-05	27.52%	Midtjylland	1606	3	@ Aalborg	1636	1
20	2012-09-15	27.62%	Silkeborg	1549	2	@ Sonderjyske	1577	0
21	2013-04-29	27.65%	Aalborg	1607	3	@ Midtjylland	1635	2
22	2012-08-27	27.77%	Aarhus GF	1596	4	@ Horsens	1623	1
23	2012-08-20	28.65%	Odense	1591	2	@ Sonderjyske	1611	1
24	2012-11-25	29.07%	@ Brondby	1529	2	Horsens	1619	0
25	2012-11-11	29.17%	Brondby	1523	2	@ Silkeborg	1538	1

Biggest Elo Changes

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

#	Date	Elo Δ	Winning Team				Losing Team				Tie %
#	Date	Elo Δ	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2013-05-16	26.74	@ Brondby	4	1544	19.55%	Nordsjaelland	0	1733	56.62%	23.83%
2	2013-03-28	26.12	Sonderjyske	5	1534	30.52%	@ Silkeborg	0	1538	41.94%	27.53%
3	2012-08-26	21.18	Aalborg	4	1593	30.55%	@ Odense	0	1597	41.92%	27.54%
4	2013-03-10	20.50	Brondby	3	1523	19.50%	@ Aarhus GF	0	1638	56.70%	23.80%
5	2012-08-31	20.05	Aalborg	4	1615	33.27%	@ Sonderjyske	0	1597	38.95%	27.78%
6	2012-10-05	19.30	@ Odense	3	1560	22.22%	Nordsjaelland	0	1716	52.50%	25.27%
7	2012-11-11	19.25	@ Odense	5	1587	44.82%	Sonderjyske	0	1563	28.05%	27.13%
8	2012-09-01	18.67	Aarhus GF	4	1610	36.82%	@ Silkeborg	0	1568	35.32%	27.85%
9	2012-07-16	18.35	Nordsjaelland	4	1684	37.68%	@ Horsens	0	1636	34.49%	27.83%
10	2013-04-14	16.13	Sonderjyske	3	1550	30.78%	@ Brondby	0	1551	41.65%	27.56%
11	2012-08-12	16.12	Aalborg	4	1562	22.67%	@ Horsens	1	1639	51.86%	25.47%
12	2012-12-03	16.04	Aarhus GF	3	1628	31.07%	@ Aalborg	0	1628	41.33%	27.60%
13	2012-08-17	15.62	@ Aalborg	3	1578	32.40%	Midtjylland	0	1642	39.88%	27.72%
14	2013-04-14	15.46	@ Esbjerg	4	1601	45.20%	Randers	0	1573	27.73%	27.06%
15	2013-05-12	14.70	Esbjerg	2	1619	17.65%	@ FC Copenhagen	0	1760	59.84%	22.51%
16	2012-11-04	14.58	Odense	3	1573	35.83%	@ Brondby	0	1537	36.31%	27.86%
17	2012-08-27	14.47	Aarhus GF	4	1596	27.77%	@ Horsens	1	1623	45.15%	27.07%
18	2012-07-14	13.98	@ Sonderjyske	6	1597	49.84%	Randers	1	1535	24.12%	26.05%
19	2012-10-06	13.56	Aarhus GF	3	1637	39.32%	@ Sonderjyske	0	1577	32.92%	27.76%
20	2013-05-16	13.40	@ Aarhus GF	3	1596	39.86%	Aalborg	0	1607	32.42%	27.72%
21	2012-12-01	12.85	@ Odense	3	1611	41.76%	Esbjerg	0	1608	30.69%	27.55%
22	2012-09-14	12.54	@ Esbjerg	3	1587	42.83%	Odense	0	1577	29.75%	27.43%
23	2013-04-21	12.48	@ Sonderjyske	4	1566	35.08%	Odense	1	1610	37.07%	27.85%
24	2012-09-24	12.37	Esbjerg	2	1599	25.60%	@ Aalborg	0	1646	47.87%	26.53%
25	2012-09-15	11.85	Silkeborg	2	1549	27.62%	@ Sonderjyske	0	1577	45.34%	27.04%

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	2012-12-10	78.6	@ Aarhus GF	3	1644	55.34%	Silkeborg	3	1540	20.35%	24.31%
2	2013-04-27	77.5	@ Nordsjaelland	2	1728	60.91%	Sonderjyske	2	1578	17.05%	22.04%
3	2013-03-29	77.3	@ Midtjylland	2	1617	22.56%	FC Copenhagen	2	1770	52.02%	25.42%
4	2012-11-10	77.0	@ Nordsjaelland	2	1712	63.27%	Randers	2	1542	15.79%	20.94%
5	2012-10-07	76.4	@ Esbjerg	2	1603	25.47%	FC Copenhagen	2	1725	48.04%	26.49%
6	2013-05-03	76.3	@ Silkeborg	2	1522	18.37%	Nordsjaelland	2	1727	58.58%	23.04%
7	2012-09-02	76.0	@ Odense	2	1576	24.31%	FC Copenhagen	2	1710	49.57%	26.12%
8	2012-07-27	75.3	@ Horsens	2	1628	39.17%	Midtjylland	2	1644	33.07%	27.77%
9	2013-05-20	75.2	@ Odense	3	1569	48.69%	Silkeborg	3	1516	24.97%	26.34%
10	2012-09-21	74.5	@ Aarhus GF	2	1633	50.59%	Sonderjyske	2	1566	23.57%	25.84%
11	2013-03-06	74.5	@ Aalborg	2	1607	39.45%	Odense	2	1620	32.80%	27.75%
12	2013-03-28	73.9	@ Horsens	2	1590	39.11%	Aalborg	2	1606	33.12%	27.77%
13	2012-09-23	73.8	@ Horsens	2	1613	48.12%	Odense	2	1564	25.41%	26.47%
14	2013-04-14	73.7	Aalborg	4	1601	29.27%	@ Odense	3	1615	43.37%	27.35%
15	2012-09-16	73.1	@ Brondby	2	1550	32.47%	Horsens	2	1613	39.80%	27.73%
16	2013-05-20	73.0	@ Aalborg	2	1593	46.36%	Randers	2	1557	26.79%	26.85%
17	2013-04-07	72.3	@ FC Copenhagen	1	1761	60.56%	Odense	1	1614	17.24%	22.19%
18	2012-11-18	72.2	@ Brondby	2	1528	31.16%	Esbjerg	2	1602	41.23%	27.61%
19	2013-04-15	72.2	FC Copenhagen	3	1759	34.39%	@ Nordsjaelland	2	1734	37.77%	27.83%
20	2013-04-29	71.9	Aalborg	3	1607	27.65%	@ Midtjylland	2	1635	45.30%	27.05%
21	2013-05-20	71.9	@ FC Copenhagen	1	1738	61.06%	Sonderjyske	1	1587	16.97%	21.97%
22	2013-04-21	71.4	@ Aalborg	1	1606	22.07%	FC Copenhagen	1	1764	52.73%	25.20%
23	2012-08-18	71.1	@ FC Copenhagen	1	1708	62.29%	Brondby	1	1547	16.31%	21.41%
24	2012-09-22	71.1	@ Nordsjaelland	1	1709	65.06%	Randers	1	1523	14.87%	20.07%
25	2012-07-15	70.7	Silkeborg	3	1602	29.78%	@ Esbjerg	2	1612	42.78%	27.43%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2012-12-02	45.3	@ Nordsjaelland	3	1713	63.63%	Brondby	0	1540	15.60%	20.77%
2	2012-09-16	45.9	@ Aalborg	4	1635	54.77%	Randers	0	1535	20.71%	24.51%
3	2012-10-19	46.4	@ Nordsjaelland	3	1697	59.98%	Silkeborg	0	1555	17.57%	22.45%
4	2012-09-23	46.7	@ FC Copenhagen	5	1714	61.29%	Silkeborg	0	1561	16.84%	21.87%
5	2012-12-02	46.8	@ FC Copenhagen	2	1747	67.02%	Randers	0	1543	13.90%	19.07%
6	2012-07-28	47.4	@ FC Copenhagen	3	1686	56.92%	Aalborg	0	1569	19.37%	23.72%
7	2013-05-12	47.8	@ Midtjylland	3	1635	51.59%	Randers	0	1560	22.86%	25.55%
8	2013-05-13	48.0	@ Horsens	2	1567	47.52%	Silkeborg	0	1523	25.88%	26.61%
9	2012-11-11	48.8	@ FC Copenhagen	4	1730	55.35%	Aalborg	0	1625	20.34%	24.31%
10	2013-04-14	48.9	@ Esbjerg	4	1601	45.20%	Randers	0	1573	27.73%	27.06%
11	2012-11-11	49.0	@ Odense	5	1587	44.82%	Sonderjyske	0	1563	28.05%	27.13%
12	2012-09-28	49.1	@ Nordsjaelland	3	1707	54.21%	Esbjerg	0	1612	21.08%	24.71%
13	2012-08-12	49.2	@ FC Copenhagen	3	1699	53.47%	Aarhus GF	0	1609	21.57%	24.96%
14	2013-03-08	49.5	@ Randers	2	1555	43.18%	Sonderjyske	0	1543	29.44%	27.38%
15	2012-09-14	49.6	@ Esbjerg	3	1587	42.83%	Odense	0	1577	29.75%	27.43%
16	2012-07-14	49.7	@ Sonderjyske	6	1597	49.84%	Randers	1	1535	24.12%	26.05%
17	2012-11-04	50.2	Odense	3	1573	35.83%	@ Brondby	0	1537	36.31%	27.86%
18	2012-10-21	50.3	@ FC Copenhagen	1	1725	65.07%	Brondby	0	1539	14.87%	20.06%
19	2013-03-28	50.8	Sonderjyske	5	1534	30.52%	@ Silkeborg	0	1538	41.94%	27.53%
20	2013-04-08	50.9	@ Aalborg	1	1597	51.85%	Silkeborg	0	1520	22.67%	25.47%
21	2012-08-11	51.2	@ Nordsjaelland	6	1691	55.56%	Silkeborg	1	1585	20.21%	24.23%
22	2012-12-01	51.2	@ Odense	3	1611	41.76%	Esbjerg	0	1608	30.69%	27.55%
23	2013-04-14	51.4	Sonderjyske	3	1550	30.78%	@ Brondby	0	1551	41.65%	27.56%
24	2013-05-16	51.4	@ Aarhus GF	3	1596	39.86%	Aalborg	0	1607	32.42%	27.72%
25	2012-09-01	51.5	Aarhus GF	4	1610	36.82%	@ Silkeborg	0	1568	35.32%	27.85%