2014-15 Superliga Season

198 games

Final

Champion

Midtjylland

71 points · 1st Title

Relegated

Silkeborg

14 pts

FC Vestsjaelland · 33 pts

Biggest Overachiever

FC Copenhagen

11.47 points above expected

67 points · 55.53 expected points

Biggest Disappointment

Silkeborg

16.26 points below expected

14 points · 30.26 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	Midtjylland Champion	33	22	5	6	71	64	34	+30	59.74	+11.26
2	FC Copenhagen	33	20	7	6	67	40	22	+18	55.53	+11.47
3	Brondby	33	16	7	10	55	43	29	+14	49.75	+5.25
4	Randers	33	14	10	9	52	39	28	+11	46.88	+5.12
5	Aalborg	33	13	9	11	48	39	31	+8	52.78	-4.78
6	Nordsjaelland	33	13	5	15	44	39	44	-5	45.69	-1.69
7	Hobro	33	11	10	12	43	40	47	-7	39.05	+3.95
8	Esbjerg	33	10	10	13	40	47	45	+2	46.66	-6.66
9	Odense	33	11	7	15	40	35	43	-8	42.81	-2.81
10	Sonderjyske	33	7	16	10	37	35	44	-9	41.50	-4.50
11	Vestsjaelland	33	9	6	18	33	31	52	-21	32.91	+0.09
12	Silkeborg Relegated	33	2	8	23	14	26	59	-33	30.26	-16.26

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

Top Overachievers & Disappointments

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

Biggest Overachievers

#	Team	Actual	Sim	vsSim
1	FC Copenhagen	67	55.53	+11.47
2	Midtjylland	71	59.74	+11.26
3	Brondby	55	49.75	+5.25
4	Randers	52	46.88	+5.12
5	Hobro	43	39.05	+3.95

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Silkeborg	14	30.26	-16.26
2	Esbjerg	40	46.66	-6.66
3	Aalborg	48	52.78	-4.78
4	Sonderjyske	37	41.50	-4.50
5	Odense	40	42.81	-2.81

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	Midtjylland	5	Aug 4 – Sep 12	1 in 53
2	Hobro	3	Feb 28 – Mar 16	1 in 23
3	FC Copenhagen	4	Nov 22 – Feb 22	1 in 21
4	Brondby	3	May 17 – May 25	1 in 16
5	Nordsjaelland	3	Sep 14 – Sep 29	1 in 16

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Silkeborg	9	Oct 4 – Feb 21	1 in 234
2	Nordsjaelland	4	May 3 – May 21	1 in 41
3	Randers	3	Mar 1 – Mar 13	1 in 38
4	Odense	3	Mar 15 – Apr 7	1 in 30
5	Vestsjaelland	5	Feb 22 – Mar 22	1 in 29

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Sonderjyske	9	Aug 30 – Nov 9	1 in 107
2	Hobro	7	Aug 3 – Sep 27	1 in 47
3	FC Copenhagen	11	Sep 21 – Feb 22	1 in 42
4	Brondby	7	Apr 26 – May 31	1 in 15
5	Randers	5	Aug 30 – Oct 5	1 in 14

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Silkeborg	18	Jul 20 – Feb 21	1 in 160
2	Randers	7	Mar 1 – Apr 20	1 in 51
3	Sonderjyske	7	Aug 10 – Oct 5	1 in 22
4	Esbjerg	6	Jul 21 – Aug 31	1 in 21
5	Vestsjaelland	10	Nov 1 – Mar 22	1 in 18

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
Midtjylland	1683	71	-8	7	9.7	-2.7
FC Copenhagen	1663	67	+7	12	8.7	+3.3
Brondby	1614	55	+15	10	7.8	+2.2
Randers	1609	52	+11	8	8.3	-0.3
Aalborg	1599	48	-10	9	8.3	+0.7
Nordsjaelland	1521	44	-7	6	5.8	+0.2
Hobro	1487	43	-12	4	5.8	-1.8
Esbjerg	1557	40	+13	9	6.9	+2.1
Odense	1523	40	-1	5	6.4	-1.4
Sonderjyske	1488	37	+1	5	5.4	-0.4
Vestsjaelland	1444	33	+18	8	5.1	+2.9
Silkeborg	1374	14	-28	1	4.2	-3.2

Head-to-Head

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

Beat expectations Fell short Within expectations

Team	AAL	BRO	ESB	FC	HOB	MID	NOR	ODE	RAN	SIL	SON	VES
Aalborg	—	1-1-1 4.09	2-1-0 4.64	1-0-2 4.13	1-1-1 5.36	1-0-2 3.61	2-0-1 4.85	0-2-1 4.82	1-2-0 4.60	2-1-0 5.75	1-1-1 4.78	1-0-2 5.43
Brondby	1-1-1 4.11	—	0-2-1 4.30	0-1-2 3.32	0-0-3 5.13	1-1-1 3.09	2-0-1 4.39	2-1-0 4.84	1-1-1 4.80	3-0-0 5.85	3-0-0 4.80	3-0-0 5.68
Esbjerg	0-1-2 3.58	1-2-0 3.92	—	0-0-3 3.12	1-1-1 4.64	0-1-2 2.85	1-1-1 4.10	2-0-1 4.78	0-1-2 4.52	2-1-0 5.74	0-2-1 4.90	3-0-0 5.23
FC Copenhagen	2-0-1 4.09	2-1-0 4.90	3-0-0 5.11	—	2-0-1 5.74	1-0-2 3.81	2-1-0 5.16	2-0-1 4.94	1-1-1 5.15	2-1-0 5.78	1-2-0 5.05	2-1-0 5.78
Hobro	1-1-1 2.89	3-0-0 3.10	1-1-1 3.57	1-0-2 2.56	—	0-1-2 2.63	1-1-1 3.84	1-1-1 3.32	1-0-2 2.96	1-2-0 4.73	0-2-1 3.74	1-1-1 4.74
Midtjylland	2-0-1 4.61	1-1-1 5.13	2-1-0 5.39	2-0-1 4.40	2-1-0 5.65	—	1-0-2 5.28	2-0-1 5.90	3-0-0 5.28	3-0-0 6.66	2-1-0 5.22	2-1-0 6.43
Nordsjaelland	1-0-2 3.37	1-0-2 3.83	1-1-1 4.11	0-1-2 3.08	1-1-1 4.36	2-0-1 2.96	—	1-0-2 4.82	0-1-2 3.67	2-1-0 5.17	2-0-1 4.50	2-0-1 5.46
Odense	1-2-0 3.40	0-1-2 3.38	1-0-2 3.44	1-0-2 3.29	1-1-1 4.91	1-0-2 2.38	2-0-1 3.40	—	1-0-2 3.48	2-1-0 5.48	0-2-1 4.26	1-0-2 4.73
Randers	0-2-1 3.62	1-1-1 3.42	2-1-0 3.69	1-1-1 3.08	2-0-1 5.29	0-0-3 2.96	2-1-0 4.54	2-0-1 4.73	—	2-0-1 6.00	0-3-0 4.51	2-1-0 5.39
Silkeborg	0-1-2 2.53	0-0-3 2.43	0-1-2 2.53	0-1-2 2.51	0-2-1 3.49	0-0-3 1.74	0-1-2 3.06	0-1-2 2.78	1-0-2 2.30	—	1-1-1 3.43	0-0-3 3.48
Sonderjyske	1-1-1 3.45	0-0-3 3.41	1-2-0 3.32	0-2-1 3.18	1-2-0 4.47	0-1-2 3.04	1-0-2 3.71	1-2-0 3.95	0-3-0 3.70	1-1-1 4.79	—	1-2-0 4.64
Vestsjaelland	2-0-1 2.82	0-0-3 2.59	0-0-3 3.01	0-1-2 2.51	1-1-1 3.48	0-1-2 1.93	1-0-2 2.79	2-0-1 3.49	0-1-2 2.86	3-0-0 4.74	0-2-1 3.57	—

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	0.61	+12.6
Allowed	0.76	-12.0
Differential	0.93	+8.4

Scoreline Distribution

Percentage of games ending with each combination of team-goals (rows) and opponent-goals (columns). The diagonal shows draws; cells below the diagonal are wins from the row team's perspective, cells above are losses. Marginal totals on the right and bottom show how often each goal count occurred regardless of opponent. Use the picker to switch between the league-wide view and any individual team.

View:

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.08%	10.61%	7.58%	3.03%	0.76%	0.51%	30.56%
1	10.61%	12.12%	7.58%	3.54%	0.76%	0.25%	34.85%
2	7.58%	7.58%	4.55%	1.77%	0.51%	0.51%	22.47%
3	3.03%	3.54%	1.77%	0.51%	—	—	8.84%
4	0.76%	0.76%	0.51%	—	—	—	2.02%
5+	0.51%	0.25%	0.51%	—	—	—	1.26%
Total	30.56%	34.85%	22.47%	8.84%	2.02%	1.26%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.21	1.21	+0.00
SD	1.11	1.11	1.64
CV	0.92	0.92	—
Max	5	5	+5
Min	0	0	-5

Games Played: 198

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	12.12%	6.06%	—	—	—	24.24%
1	15.15%	18.18%	12.12%	—	3.03%	—	48.48%
2	9.09%	6.06%	3.03%	—	—	—	18.18%
3	3.03%	3.03%	—	—	—	—	6.06%
4	—	—	—	—	—	—	—
5+	3.03%	—	—	—	—	—	3.03%
Total	36.36%	39.39%	21.21%	—	3.03%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.18	0.94	+0.24
SD	1.07	0.93	1.58
CV	0.91	0.99	—
Max	5	4	+5
Min	0	0	-3

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.30	0.88	+0.42
SD	1.26	0.99	1.84
CV	0.97	1.13	—
Max	5	3	+5
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	15.15%	9.09%	6.06%	3.03%	—	—	33.33%
1	3.03%	9.09%	6.06%	6.06%	—	—	24.24%
2	6.06%	3.03%	3.03%	9.09%	—	—	21.21%
3	3.03%	6.06%	—	3.03%	—	—	12.12%
4	—	3.03%	3.03%	—	—	—	6.06%
5+	—	—	3.03%	—	—	—	3.03%
Total	27.27%	30.30%	21.21%	21.21%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.42	1.36	+0.06
SD	1.39	1.11	1.60
CV	0.98	0.82	—
Max	5	3	+3
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	6.06%	3.03%	6.06%	—	—	24.24%
1	30.30%	9.09%	3.03%	—	—	—	42.42%
2	9.09%	12.12%	3.03%	—	—	—	24.24%
3	3.03%	3.03%	—	—	—	—	6.06%
4	3.03%	—	—	—	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	54.55%	30.30%	9.09%	6.06%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.21	0.67	+0.55
SD	0.99	0.89	1.48
CV	0.82	1.33	—
Max	4	3	+4
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	12.12%	3.03%	3.03%	—	3.03%	27.27%
1	15.15%	12.12%	3.03%	3.03%	—	3.03%	36.36%
2	3.03%	3.03%	12.12%	—	6.06%	—	24.24%
3	6.06%	6.06%	—	—	—	—	12.12%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	30.30%	33.33%	18.18%	6.06%	6.06%	6.06%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.21	1.42	-0.21
SD	0.99	1.46	1.82
CV	0.82	1.02	—
Max	3	5	+3
Min	0	0	-5

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	3.03%	3.03%	3.03%	—	—	15.15%
1	6.06%	6.06%	3.03%	3.03%	—	—	18.18%
2	12.12%	21.21%	—	3.03%	—	—	36.36%
3	9.09%	9.09%	3.03%	3.03%	—	—	24.24%
4	—	—	—	—	—	—	—
5+	—	3.03%	3.03%	—	—	—	6.06%
Total	33.33%	42.42%	12.12%	12.12%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.94	1.03	+0.91
SD	1.27	0.98	1.61
CV	0.66	0.95	—
Max	5	3	+4
Min	0	0	-3

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.18	1.33	-0.15
SD	1.21	1.05	1.60
CV	1.02	0.79	—
Max	4	3	+4
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	6.06%	15.15%	6.06%	—	—	30.30%
1	9.09%	15.15%	12.12%	3.03%	—	—	39.39%
2	12.12%	6.06%	3.03%	3.03%	—	—	24.24%
3	—	6.06%	—	—	—	—	6.06%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	24.24%	33.33%	30.30%	12.12%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.06	1.30	-0.24
SD	0.90	0.98	1.54
CV	0.85	0.75	—
Max	3	3	+2
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	12.12%	9.09%	3.03%	—	—	—	24.24%
1	15.15%	18.18%	9.09%	3.03%	—	—	45.45%
2	12.12%	3.03%	—	—	—	3.03%	18.18%
3	9.09%	—	3.03%	—	—	—	12.12%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	48.48%	30.30%	15.15%	3.03%	—	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.18	0.85	+0.33
SD	0.95	1.12	1.47
CV	0.80	1.32	—
Max	3	5	+3
Min	0	0	-3

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	0.79	1.79	-1.00
SD	0.99	0.99	1.25
CV	1.26	0.56	—
Max	4	5	+3
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	12.12%	6.06%	3.03%	3.03%	3.03%	—	27.27%
1	6.06%	30.30%	9.09%	3.03%	3.03%	—	51.52%
2	3.03%	3.03%	6.06%	—	—	—	12.12%
3	—	—	6.06%	—	—	—	6.06%
4	—	3.03%	—	—	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	21.21%	42.42%	24.24%	6.06%	6.06%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.06	1.33	-0.27
SD	0.97	1.08	1.40
CV	0.91	0.81	—
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%	3.03%	39.39%
1	6.06%	12.12%	9.09%	3.03%	3.03%	—	33.33%
2	3.03%	12.12%	3.03%	3.03%	—	—	21.21%
3	—	6.06%	—	—	—	—	6.06%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	12.12%	48.48%	21.21%	9.09%	6.06%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.94	1.58	-0.64
SD	0.93	1.20	1.67
CV	0.99	0.76	—
Max	3	5	+2
Min	0	0	-5

Games Played: 33

Season Summary

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

Team	Elo	Points	Avg	Luck	Percentile	Min	5th	Q1	Median	Q3	95th	Max
Midtjylland	1683	71	59.74	+11.26	96.0%	44	48	54	59	66	71	77
FC Copenhagen	1663	67	55.53	+11.47	98.0%	35	42	51	56	61	65	72
Brondby	1614	55	49.75	+5.25	81.0%	33	40	45	49	54	60	66
Randers	1609	52	46.88	+5.12	79.0%	34	35	42	47	51	60	68
Aalborg	1599	48	52.78	-4.78	31.0%	33	40	47	52	58	65	73
Esbjerg	1557	40	46.66	-6.66	13.0%	28	34	42	47	51	59	61
Odense	1523	40	42.81	-2.81	38.0%	28	31	37	43	48	53	60
Nordsjaelland	1521	44	45.69	-1.69	44.0%	31	33	40	45	50	59	71
Sonderjyske	1488	37	41.50	-4.50	32.0%	27	31	36	40	47	53	64
Hobro	1487	43	39.05	+3.95	71.0%	21	27	34	38	45	52	53
Vestsjaelland	1444	33	32.91	+0.09	51.0%	15	22	28	33	38	45	49
Silkeborg	1374	14	30.26	-16.26	2.0%	13	18	26	30	34	42	48

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

+15.15%

Clear Edge

44.95%25.25%29.80%

Elo Value

Home Edge

195 Elo

0.005 goals per Elo point

053.05500

Scoring Tilt

Expected

+0.30 goals

Neutral

-2+0.27+2

Title Race

How these are measured

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

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

Title-Race Openness

3.2

Top-Heavy

134610

Champion Preseason Odds

50%

Midtjylland, 1st of 12

LongshotFavorite

Title Margin

Expected

0.12/gm

Tight Race

00.170.5/gm

Simulation-Based Surprises

How these are measured

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

Luck Spread: Standard deviation of the gap between each team's actual points and their simulated average points. The gold line is the spread the model expected from chance alone.
As Expected: under 5.72 * Some Luck: 5.72 to 8.58 * Lucky: 8.58 to 11.44 * Wild Swing: 11.44 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 1.44 * Close: 1.44 to 2.16 * Off: 2.16 to 2.88 * Way Off: 2.88 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 0.67 * A Surprise: 0.67 to 1.07 * Several Surprises: 1.07 to 1.47 * Many Surprises: 1.47 and up.

Luck Spread

Expected

7.58 points

Some Luck

07.1518

Average Finish Error

Expected

1.00

Pinpoint

01.804

Biggest Overachiever

Expected 95.83%

98.00%

FC Copenhagen

50100

Biggest Underachiever

Expected 4.17%

2.00%

Silkeborg

050

Season Outliers

Expected

3 of 12

Minimal Outliers

01.26

Unexpected Relegations

Expected

1 of 2

A Surprise

00.72

Parity

How these are measured

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

Gini Index: How evenly points were spread across the league. Lower means a tight, balanced table; higher means a few teams ran off with most of the points.
Balanced: under 0.12 * Even: 0.12 to 0.15 * Top-Heavy: 0.15 to 0.17 * Lopsided: 0.17 and up.
Noll-Scully: Take a league where every match is a coin flip and nobody is better than anybody. You would still get a table, with a leader and a bottom club, purely by luck, and you can work out how far apart that table would be. This is the real table measured against it. At 1.00 the season was no more spread out than pure chance; at 2.00 it was twice as spread out, which takes genuine differences in quality. Dividing by the luck figure is what makes seasons of different lengths comparable, because a short season spreads a table by luck alone far more than a long one does. Elo SD in the corner is the same question in rating points: how far apart the teams finished on the ratings.
Coin-Flip Parity: under 1.35 * Moderate Separation: 1.35 to 1.6 * Strong Separation: 1.6 to 1.9 * Wide Separation: 1.9 and up.
Interquartile Edge: Chance the team at the 75th percentile of Elo would beat the team at the 25th percentile on a neutral field. Higher means a bigger gap between the upper and lower half of the table.
Even: under 59% * Slight Edge: 59% to 64.5% * Clear Edge: 64.5% to 69% * Wide Edge: 69% and up.
Best vs. Worst: Chance the top-rated team would beat the bottom-rated team on a neutral field. The gold line is how large that gap tends to be in a league of this size; a dot to the right flags an unusually dominant or unusually weak team.
Even: under 79% * Clear Edge: 79% to 85% * Strong Edge: 85% to 88.5% * Dominant: 88.5% and up.
Close Games: Share of matches decided by 1 goal or fewer, draws included. The gold line is how many close games the matchups and the scoring value of an Elo point predict.
Few: under 54.5% * Some Drama: 54.5% to 58% * Frequent: 58% to 61.5% * Very Frequent: 61.5% and up.
Blowouts: Share of matches decided by 3 goals or more. The gold line is how many routs the matchups and the scoring model predict.
Rare: under 15.5% * Occasional: 15.5% to 19% * Frequent: 19% to 23% * Very Frequent: 23% and up.

Gini Index

0.18

Lopsided

00.120.5

Noll-Scully

Elo SD: 91.36

2.01

Wide Separation

0.651.351.61.92.5

Interquartile Edge

67%

Clear Edge

50%59%69%100%

Best vs. Worst

Baseline

86%

Strong Edge

50%86%100%

Close Games

Expected

65%

Very Frequent

0%64%100%

Blowouts

Expected

12%

Rare

0%13%100%

Predictability

How these are measured

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

Brier Score: How close the pregame probabilities landed to the actual result, averaged over the season. Confident, correct calls are rewarded most; confident misses are punished most. Lower is better; since draws are possible, a score under 0.66 beats guessing the base rate.
Highly Predictable: under 0.56 * Predictable: 0.56 to 0.62 * Hard to Predict: 0.62 to 0.66 * Coin-Flip: 0.66 and up.
Matchup Imbalance: How lopsided the matchups were on paper, averaging the gap between the two win probabilities over their sum. 0 means every match was a toss-up; 1 means every match was a heavy favorite against a big underdog.
Very Even: under 0.28 * Slight Separation: 0.28 to 0.32 * Notable Separation: 0.32 to 0.37 * Lopsided: 0.37 and up.
Strangeness: How wild the final table was versus what the model expected. A value of 1 means teams landed about one standard deviation from their projections on average. Above 1 is a stranger season; below 1 hugged the projections.
Very Predictable: under 0.8 * As Expected: 0.8 to 1.1 * Wilder Than Modeled: 1.1 to 1.4 * Chaotic: 1.4 and up.
Repeatability: How closely the final table order matched the preseason Elo order, by Spearman rank correlation. Higher means last season's ratings strongly predicted this season's finish. Shows N/A for an inaugural season.
Weak Carryover: under 0.3 * Some Carryover: 0.3 to 0.5 * Strong Carryover: 0.5 to 0.63 * Near-Lock: 0.63 and up.
Upset Rate: Share of matches the underdog won. The gold line is how often the model expected underdogs to win; a dot to the right means upsets ran hotter than expected.
Chalky: under 24% * As Expected: 24% to 26.5% * Upset-Prone: 26.5% to 30.5% * Very Upset-Prone: 30.5% and up.
Clear Favorite Upset Rate: Share of matches the underdog won, counting only games with a clear favorite (at least 60% likely to win once a draw is set aside). The gold line is how often the model expected these favorites to slip.
Solid Favorites: under 20.5% * As Expected: 20.5% to 23.5% * Shaky Favorites: 23.5% to 27% * Very Shaky: 27% and up.

Brier Score

Expected

0.60

Predictable

00.622

Matchup Imbalance

0.31

Slight Separation

00.280.370.5

Strangeness

Expected

1.17

Wilder Than Modeled

01.002

Repeatability

0.77

Near-Lock

00.30.50.631

Upset Rate

Expected

23%

Chalky

0%26%50%

Clear Favorite Upset Rate

Expected

22%

As Expected

0%22%50%

Calibration

How these are measured

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

Probability calibration: An all-in-one chi-square test of the model's probabilities. Matches are grouped by how confident the model was, and within each group the predicted and actual counts of home wins, draws, and away wins are compared. The p-value is plotted; above 0.05 means well-calibrated.
Miscalibrated: under 0.05 * Borderline: 0.05 to 0.1 * Well Calibrated: 0.1 to 0.5 * Excellent: 0.5 and up.
Calibration slope: Checks whether the spread of the probabilities is right. Each probability is turned into log-odds and a line is fit predicting the actual results. A slope of 1.00 is perfect; below 1 is overconfidence (favorites lost more than their odds implied); above 1 is under-confidence.
Overconfident: under 0.85 * Calibrated: 0.85 to 1.15 * Underconfident: 1.15 to 1.3 * Very Underconfident: 1.3 and up.
Calibration error (ECE): The average gap between the model's stated chances and how often the predicted result actually happened. Smaller is better. The gold line is the noise ceiling, the error luck alone can produce even with perfect probabilities; below it, the model's error is no larger than chance.
Well Within Noise: under 0.12 * Near Noise Ceiling: 0.12 to 0.17 * Above Noise: 0.17 to 0.23 * Well Above Noise: 0.23 and up.

Probability calibration

0.28

Well Calibrated

0.010.050.10.51

Calibration slope

Ideal

1.11

Calibrated

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.135

Near Noise Ceiling

00.1160.3

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
Midtjylland	50.00%	24.00%	9.00%	8.00%	5.00%	3.00%	—	1.00%	—	—	—	—
FC Copenhagen	20.00%	30.00%	20.00%	13.00%	5.00%	6.00%	1.00%	3.00%	1.00%	—	—	1.00%
Brondby	5.00%	8.00%	23.00%	11.00%	14.00%	14.00%	12.00%	6.00%	3.00%	3.00%	1.00%	—
Randers	7.00%	4.00%	8.00%	10.00%	16.00%	16.00%	12.00%	11.00%	12.00%	2.00%	1.00%	1.00%
Aalborg	10.00%	18.00%	16.00%	19.00%	10.00%	6.00%	11.00%	5.00%	4.00%	1.00%	—	—
Nordsjaelland	6.00%	2.00%	8.00%	9.00%	15.00%	9.00%	10.00%	13.00%	16.00%	7.00%	5.00%	—
Hobro	—	—	2.00%	4.00%	5.00%	7.00%	7.00%	17.00%	12.00%	19.00%	17.00%	10.00%
Esbjerg	—	11.00%	4.00%	14.00%	11.00%	13.00%	13.00%	17.00%	10.00%	1.00%	4.00%	2.00%
Odense	—	1.00%	8.00%	6.00%	7.00%	12.00%	16.00%	11.00%	16.00%	12.00%	10.00%	1.00%
Sonderjyske	2.00%	2.00%	2.00%	4.00%	11.00%	10.00%	11.00%	9.00%	12.00%	23.00%	11.00%	3.00%
Vestsjaelland	—	—	—	1.00%	1.00%	3.00%	5.00%	4.00%	9.00%	18.00%	34.00%	25.00%
Silkeborg	—	—	—	1.00%	—	1.00%	2.00%	3.00%	5.00%	14.00%	17.00%	57.00%

Points Required Per Position

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

Next-Season Status

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

Team	Same level	Direct relegation
Aalborg	100%	—
Midtjylland	100%	—
Brondby	99.00%	1.00%
FC Copenhagen	99.00%	1.00%
Randers	98.00%	2.00%
Nordsjaelland	95.00%	5.00%
Esbjerg	94.00%	6.00%
Odense	89.00%	11.00%
Sonderjyske	86.00%	14.00%
Hobro	73.00%	27.00%
Vestsjaelland	41.00%	59.00%
Silkeborg	26.00%	74.00%

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
2014-07-18	Vestsjaelland	W 3-2	60.3	1556	1498	51.64%	25.34%	23.02%	+0.57	+4.6	3
2014-07-18	@ Nordsjaelland	L 2-3	60.3	1498	1556	23.02%	25.34%	51.64%	-0.57	-4.6	0
2014-07-19	Aalborg	D 0-0	62.7	1531	1596	34.82%	26.77%	38.41%	-0.06	+0.2	1
2014-07-19	@ Sonderjyske	D 0-0	62.7	1596	1531	38.41%	26.77%	34.82%	+0.06	-0.2	1
2014-07-20	Brondby	W 3-1	56.3	1598	1575	47.11%	26.10%	26.79%	+0.39	+9.7	3
2014-07-20	@ Midtjylland	L 1-3	56.3	1575	1598	26.79%	26.10%	47.11%	-0.39	-9.6	0
2014-07-20	FC Copenhagen	D 0-0	62.1	1493	1610	28.17%	26.30%	45.53%	-0.33	+0.8	1
2014-07-20	@ Silkeborg	D 0-0	62.1	1610	1493	45.53%	26.30%	28.17%	+0.33	-0.8	1
2014-07-20	Hobro	L 1-2	62.6	1544	1452	55.61%	24.40%	19.99%	+0.74	-9.9	0
2014-07-20	@ Odense	W 2-1	62.6	1452	1544	19.99%	24.40%	55.61%	-0.74	+9.9	3
2014-07-21	Randers	L 0-1	58.7	1573	1533	49.36%	25.76%	24.88%	+0.48	-9.5	0
2014-07-21	@ Esbjerg	W 1-0	58.7	1533	1573	24.88%	25.76%	49.36%	-0.48	+9.5	3
2014-07-25	Odense	W 3-1	54.3	1493	1534	38.30%	26.78%	34.93%	+0.06	+11.9	3
2014-07-25	@ Vestsjaelland	L 1-3	54.3	1534	1493	34.93%	26.78%	38.30%	-0.06	-11.9	0
2014-07-26	Midtjylland	W 2-0	52.2	1596	1608	42.46%	26.59%	30.96%	+0.21	+12.5	4
2014-07-26	@ Aalborg	L 0-2	52.2	1608	1596	30.96%	26.59%	42.46%	-0.21	-12.5	3
2014-07-26	Nordsjaelland	W 2-1	59.2	1610	1561	50.42%	25.57%	24.00%	+0.52	+5.1	4
2014-07-26	@ FC Copenhagen	L 1-2	59.2	1561	1610	24.00%	25.57%	50.42%	-0.52	-5.1	3
2014-07-27	Hobro	W 2-1	52.6	1542	1462	54.20%	24.76%	21.04%	+0.68	+4.5	6
2014-07-27	@ Randers	L 1-2	52.6	1462	1542	21.04%	24.76%	54.20%	-0.68	-4.5	3
2014-07-27	Sonderjyske	D 1-1	67.2	1563	1531	48.37%	25.92%	25.71%	+0.44	-0.9	1
2014-07-27	@ Esbjerg	D 1-1	67.2	1531	1563	25.71%	25.92%	48.37%	-0.44	+0.9	2
2014-07-28	Silkeborg	W 2-0	44.7	1565	1494	53.21%	25.00%	21.80%	+0.64	+9.3	3
2014-07-28	@ Brondby	L 0-2	44.7	1494	1565	21.80%	25.00%	53.21%	-0.64	-9.3	1
2014-08-01	Sonderjyske	L 0-2	48.4	1485	1532	37.48%	26.79%	35.73%	+0.03	-14.4	1
2014-08-01	@ Silkeborg	W 2-0	48.4	1532	1485	35.73%	26.79%	37.48%	-0.03	+14.4	5
2014-08-02	Aalborg	D 1-1	68.2	1522	1609	32.03%	26.66%	41.31%	-0.17	+0.4	1
2014-08-02	@ Odense	D 1-1	68.2	1609	1522	41.31%	26.66%	32.03%	+0.17	-0.4	5
2014-08-02	FC Copenhagen	D 2-2	74.2	1505	1615	29.04%	26.41%	44.55%	-0.29	+0.5	4
2014-08-02	@ Vestsjaelland	D 2-2	74.2	1615	1505	44.55%	26.41%	29.04%	+0.29	-0.5	5
2014-08-03	Brondby	W 2-0	51.3	1458	1575	28.19%	26.30%	45.51%	-0.33	+16.8	6
2014-08-03	@ Hobro	L 0-2	51.3	1575	1458	45.51%	26.30%	28.19%	+0.33	-16.8	3
2014-08-03	Esbjerg	W 3-2	65.0	1556	1562	43.13%	26.53%	30.34%	+0.24	+5.8	6
2014-08-03	@ Nordsjaelland	L 2-3	65.0	1562	1556	30.34%	26.53%	43.13%	-0.24	-5.8	1
2014-08-04	Randers	W 3-1	54.5	1595	1547	50.41%	25.58%	24.02%	+0.52	+8.8	6
2014-08-04	@ Midtjylland	L 1-3	54.5	1547	1595	24.02%	25.58%	50.41%	-0.52	-8.8	6
2014-08-08	Vestsjaelland	W 1-0	49.5	1538	1505	48.34%	25.92%	25.73%	+0.44	+5.7	9
2014-08-08	@ Randers	L 0-1	49.5	1505	1538	25.73%	25.92%	48.34%	-0.44	-5.7	4
2014-08-09	Nordsjaelland	L 1-2	67.1	1608	1562	50.15%	25.62%	24.22%	+0.51	-9.1	5
2014-08-09	@ Aalborg	W 2-1	67.1	1562	1608	24.22%	25.62%	50.15%	-0.51	+9.1	9
2014-08-10	Hobro	L 0-3	55.0	1614	1475	60.93%	22.75%	16.32%	+0.99	-31.0	5
2014-08-10	@ FC Copenhagen	W 3-0	55.0	1475	1614	16.32%	22.75%	60.93%	-0.99	+31.0	9
2014-08-10	Midtjylland	L 1-3	58.7	1546	1604	35.92%	26.79%	37.29%	-0.02	-12.1	5
2014-08-10	@ Sonderjyske	W 3-1	58.7	1604	1546	37.29%	26.79%	35.92%	+0.02	+12.1	9
2014-08-10	Odense	D 1-1	66.8	1558	1523	48.71%	25.87%	25.42%	+0.45	-1.0	4
2014-08-10	@ Brondby	D 1-1	66.8	1523	1558	25.42%	25.87%	48.71%	-0.45	+1.0	2
2014-08-11	Silkeborg	D 0-0	59.9	1557	1470	54.98%	24.57%	20.45%	+0.71	-1.6	2
2014-08-11	@ Esbjerg	D 0-0	59.9	1470	1557	20.45%	24.57%	54.98%	-0.71	+1.7	2
2014-08-15	Midtjylland	L 1-2	64.9	1583	1616	39.48%	26.74%	33.78%	+0.10	-7.5	5
2014-08-15	@ FC Copenhagen	W 2-1	64.9	1616	1583	33.78%	26.74%	39.48%	-0.10	+7.5	12
2014-08-16	Esbjerg	D 1-1	69.1	1599	1555	49.85%	25.68%	24.48%	+0.50	-1.1	6
2014-08-16	@ Aalborg	D 1-1	69.1	1555	1599	24.48%	25.68%	49.85%	-0.50	+1.1	3
2014-08-17	Odense	L 0-2	52.8	1543	1524	46.69%	26.16%	27.15%	+0.37	-17.1	9
2014-08-17	@ Randers	W 2-0	52.8	1524	1543	27.15%	26.16%	46.69%	-0.37	+17.1	5
2014-08-17	Silkeborg	W 2-0	43.1	1500	1472	47.72%	26.02%	26.26%	+0.41	+11.0	7
2014-08-17	@ Vestsjaelland	L 0-2	43.1	1472	1500	26.26%	26.02%	47.72%	-0.41	-11.0	2
2014-08-17	Sonderjyske	W 2-0	47.7	1557	1534	47.12%	26.10%	26.78%	+0.39	+11.1	7
2014-08-17	@ Brondby	L 0-2	47.7	1534	1557	26.78%	26.10%	47.12%	-0.39	-11.1	5
2014-08-18	Nordsjaelland	D 0-0	61.1	1506	1571	34.90%	26.78%	38.33%	-0.06	+0.2	10
2014-08-18	@ Hobro	D 0-0	61.1	1571	1506	38.33%	26.78%	34.90%	+0.06	-0.2	10
2014-08-30	Randers	D 1-1	65.5	1523	1526	43.58%	26.50%	29.93%	+0.25	-0.6	6
2014-08-30	@ Sonderjyske	D 1-1	65.5	1526	1523	29.93%	26.50%	43.58%	-0.25	+0.6	10
2014-08-31	Aalborg	D 2-2	72.3	1461	1598	25.89%	25.95%	48.16%	-0.43	+0.7	3
2014-08-31	@ Silkeborg	D 2-2	72.3	1598	1461	48.16%	25.95%	25.89%	+0.43	-0.7	7
2014-08-31	Brondby	L 0-3	52.7	1571	1568	44.37%	26.42%	29.21%	+0.28	-23.9	10
2014-08-31	@ Nordsjaelland	W 3-0	52.7	1568	1571	29.21%	26.42%	44.37%	-0.28	+23.9	10
2014-08-31	Esbjerg	W 2-0	48.6	1624	1556	52.75%	25.10%	22.15%	+0.62	+9.5	15
2014-08-31	@ Midtjylland	L 0-2	48.6	1556	1624	22.15%	25.10%	52.75%	-0.62	-9.5	3
2014-08-31	FC Copenhagen	L 0-1	56.3	1541	1576	39.20%	26.75%	34.05%	+0.09	-7.9	5
2014-08-31	@ Odense	W 1-0	56.3	1576	1541	34.05%	26.75%	39.20%	-0.09	+7.9	8
2014-09-01	Vestsjaelland	W 3-1	52.3	1506	1511	43.39%	26.51%	30.10%	+0.25	+10.6	13
2014-09-01	@ Hobro	L 1-3	52.3	1511	1506	30.10%	26.51%	43.39%	-0.25	-10.6	7
2014-09-12	Odense	W 3-2	62.3	1633	1533	56.59%	24.13%	19.28%	+0.79	+3.9	18
2014-09-12	@ Midtjylland	L 2-3	62.3	1533	1633	19.28%	24.13%	56.59%	-0.79	-3.9	5
2014-09-13	FC Copenhagen	W 1-0	54.5	1597	1584	45.90%	26.26%	27.84%	+0.34	+6.1	10
2014-09-13	@ Aalborg	L 0-1	54.5	1584	1597	27.84%	26.26%	45.90%	-0.34	-6.1	8
2014-09-14	Nordsjaelland	L 1-2	56.7	1462	1547	32.20%	26.67%	41.13%	-0.16	-6.4	3
2014-09-14	@ Silkeborg	W 2-1	56.7	1547	1462	41.13%	26.67%	32.20%	+0.16	+6.4	13
2014-09-14	Randers	L 0-2	56.0	1592	1527	52.45%	25.17%	22.38%	+0.61	-18.8	10
2014-09-14	@ Brondby	W 2-0	56.0	1527	1592	22.38%	25.17%	52.45%	-0.61	+18.8	13
2014-09-14	Vestsjaelland	W 3-0	43.4	1547	1500	50.15%	25.62%	24.23%	+0.51	+14.9	6
2014-09-14	@ Esbjerg	L 0-3	43.4	1500	1547	24.23%	25.62%	50.15%	-0.51	-14.9	7
2014-09-15	Hobro	D 1-1	65.2	1522	1516	44.86%	26.37%	28.77%	+0.30	-0.7	7
2014-09-15	@ Sonderjyske	D 1-1	65.2	1516	1522	28.77%	26.37%	44.86%	-0.30	+0.7	14
2014-09-19	Silkeborg	W 1-0	45.8	1546	1455	55.47%	24.44%	20.09%	+0.74	+4.6	16
2014-09-19	@ Randers	L 0-1	45.8	1455	1546	20.09%	24.44%	55.47%	-0.74	-4.6	3
2014-09-20	Esbjerg	D 1-1	66.4	1517	1561	37.84%	26.78%	35.38%	+0.04	-0.1	15
2014-09-20	@ Hobro	D 1-1	66.4	1561	1517	35.38%	26.78%	37.84%	-0.04	+0.1	7
2014-09-21	Brondby	W 1-0	54.1	1578	1573	44.63%	26.40%	28.97%	+0.29	+6.3	11
2014-09-21	@ FC Copenhagen	L 0-1	54.1	1573	1578	28.97%	26.40%	44.63%	-0.29	-6.3	10
2014-09-21	Midtjylland	W 2-1	65.2	1553	1637	32.34%	26.68%	40.99%	-0.16	+7.7	16
2014-09-21	@ Nordsjaelland	L 1-2	65.2	1637	1553	40.99%	26.68%	32.34%	+0.16	-7.7	18
2014-09-21	Sonderjyske	D 1-1	65.6	1529	1522	45.03%	26.36%	28.62%	+0.31	-0.7	6
2014-09-21	@ Odense	D 1-1	65.6	1522	1529	28.62%	26.36%	45.03%	-0.31	+0.7	8
2014-09-22	Aalborg	W 1-0	57.2	1485	1604	28.02%	26.28%	45.70%	-0.34	+8.9	10
2014-09-22	@ Vestsjaelland	L 0-1	57.2	1604	1485	45.70%	26.28%	28.02%	+0.34	-8.9	10
2014-09-26	Randers	D 0-0	63.6	1595	1550	49.86%	25.67%	24.47%	+0.50	-1.2	11
2014-09-26	@ Aalborg	D 0-0	63.6	1550	1595	24.47%	25.67%	49.86%	-0.50	+1.2	17
2014-09-27	FC Copenhagen	D 1-1	67.4	1522	1584	35.40%	26.78%	37.81%	-0.04	+0.1	9
2014-09-27	@ Sonderjyske	D 1-1	67.4	1584	1522	37.81%	26.78%	35.40%	+0.04	-0.1	12
2014-09-27	Hobro	D 2-2	68.6	1451	1517	34.74%	26.77%	38.49%	-0.07	+0.1	4
2014-09-27	@ Silkeborg	D 2-2	68.6	1517	1451	38.49%	26.77%	34.74%	+0.07	-0.1	16
2014-09-28	Brondby	D 2-2	74.4	1562	1567	43.31%	26.52%	30.17%	+0.24	-0.4	8
2014-09-28	@ Esbjerg	D 2-2	74.4	1567	1562	30.17%	26.52%	43.31%	-0.24	+0.4	11
2014-09-28	Vestsjaelland	W 1-0	48.6	1629	1494	60.47%	22.91%	16.62%	+0.97	+3.8	21
2014-09-28	@ Midtjylland	L 0-1	48.6	1494	1629	16.62%	22.91%	60.47%	-0.97	-3.8	10
2014-09-29	Odense	W 2-1	57.4	1561	1528	48.36%	25.92%	25.72%	+0.44	+5.4	19
2014-09-29	@ Nordsjaelland	L 1-2	57.4	1528	1561	25.72%	25.92%	48.36%	-0.44	-5.4	6
2014-10-03	Midtjylland	L 1-5	51.9	1517	1633	28.27%	26.31%	45.42%	-0.32	-18.4	16
2014-10-03	@ Hobro	W 5-1	51.9	1633	1517	45.42%	26.31%	28.27%	+0.32	+18.4	24
2014-10-04	Silkeborg	W 2-0	41.5	1523	1451	53.29%	24.98%	21.73%	+0.64	+9.3	9
2014-10-04	@ Odense	L 0-2	41.5	1451	1523	21.73%	24.98%	53.29%	-0.64	-9.3	4
2014-10-05	Aalborg	W 2-1	62.0	1567	1593	40.44%	26.70%	32.86%	+0.14	+6.5	14
2014-10-05	@ Brondby	L 1-2	62.0	1593	1567	32.86%	26.70%	40.44%	-0.14	-6.6	11
2014-10-05	Esbjerg	W 2-1	59.6	1584	1561	47.06%	26.11%	26.83%	+0.39	+5.6	15
2014-10-05	@ FC Copenhagen	L 1-2	59.6	1561	1584	26.83%	26.11%	47.06%	-0.39	-5.6	8
2014-10-05	Nordsjaelland	D 0-0	62.5	1551	1566	42.03%	26.62%	31.36%	+0.20	-0.5	18
2014-10-05	@ Randers	D 0-0	62.5	1566	1551	31.36%	26.62%	42.03%	-0.20	+0.5	20
2014-10-05	Sonderjyske	D 1-1	64.1	1490	1522	39.58%	26.74%	33.68%	+0.11	-0.2	11
2014-10-05	@ Vestsjaelland	D 1-1	64.1	1522	1490	33.68%	26.74%	39.58%	-0.11	+0.2	10
2014-10-17	Hobro	D 1-1	67.4	1587	1498	55.23%	24.50%	20.27%	+0.73	-1.5	12
2014-10-17	@ Aalborg	D 1-1	67.4	1498	1587	20.27%	24.50%	55.23%	-0.73	+1.5	17
2014-10-18	Sonderjyske	L 2-3	69.7	1567	1523	49.82%	25.68%	24.50%	+0.50	-8.6	20
2014-10-18	@ Nordsjaelland	W 3-2	69.7	1523	1567	24.50%	25.68%	49.82%	-0.50	+8.6	13
2014-10-19	Randers	W 1-0	52.5	1589	1551	49.10%	25.80%	25.10%	+0.47	+5.6	18
2014-10-19	@ FC Copenhagen	L 0-1	52.5	1551	1589	25.10%	25.80%	49.10%	-0.47	-5.6	18
2014-10-19	Silkeborg	W 2-1	51.7	1651	1441	67.97%	19.88%	12.15%	+1.35	+2.6	27
2014-10-19	@ Midtjylland	L 1-2	51.7	1441	1651	12.15%	19.88%	67.97%	-1.35	-2.6	4
2014-10-19	Vestsjaelland	W 5-0	43.8	1574	1490	54.69%	24.64%	20.67%	+0.70	+20.8	17
2014-10-19	@ Brondby	L 0-5	43.8	1490	1574	20.67%	24.64%	54.69%	-0.70	-20.8	11
2014-10-20	Odense	W 2-0	47.5	1556	1532	47.16%	26.10%	26.74%	+0.39	+11.1	11
2014-10-20	@ Esbjerg	L 0-2	47.5	1532	1556	26.74%	26.10%	47.16%	-0.39	-11.1	9
2014-10-24	Vestsjaelland	L 1-2	55.4	1439	1469	39.84%	26.73%	33.43%	+0.12	-7.6	4
2014-10-24	@ Silkeborg	W 2-1	55.4	1469	1439	33.43%	26.73%	39.84%	-0.12	+7.6	14
2014-10-25	Midtjylland	D 1-1	69.8	1531	1654	27.50%	26.21%	46.29%	-0.36	+0.8	14
2014-10-25	@ Sonderjyske	D 1-1	69.8	1654	1531	46.29%	26.21%	27.50%	+0.36	-0.8	28
2014-10-26	Brondby	D 0-0	63.7	1567	1595	40.18%	26.72%	33.10%	+0.13	-0.3	12
2014-10-26	@ Esbjerg	D 0-0	63.7	1595	1567	33.10%	26.72%	40.18%	-0.13	+0.3	18
2014-10-26	FC Copenhagen	L 0-2	49.2	1500	1595	30.89%	26.58%	42.53%	-0.22	-12.5	17
2014-10-26	@ Hobro	W 2-0	49.2	1595	1500	42.53%	26.58%	30.89%	+0.22	+12.5	21
2014-10-26	Odense	W 3-0	45.0	1545	1521	47.29%	26.08%	26.63%	+0.40	+16.1	21
2014-10-26	@ Randers	L 0-3	45.0	1521	1545	26.63%	26.08%	47.29%	-0.40	-16.1	9
2014-10-27	Aalborg	L 0-1	57.4	1558	1585	40.28%	26.71%	33.01%	+0.13	-8.1	20
2014-10-27	@ Nordsjaelland	W 1-0	57.4	1585	1558	33.01%	26.71%	40.28%	-0.13	+8.1	15
2014-10-31	Nordsjaelland	W 2-0	47.9	1653	1550	56.93%	24.03%	19.03%	+0.80	+8.2	31
2014-10-31	@ Midtjylland	L 0-2	47.9	1550	1653	19.03%	24.03%	56.93%	-0.80	-8.2	20
2014-11-01	Esbjerg	L 1-4	50.9	1477	1566	31.60%	26.63%	41.77%	-0.19	-15.6	14
2014-11-01	@ Vestsjaelland	W 4-1	50.9	1566	1477	41.77%	26.63%	31.60%	+0.19	+15.6	15
2014-11-02	Hobro	W 3-1	50.5	1505	1487	46.40%	26.20%	27.40%	+0.36	+9.8	12
2014-11-02	@ Odense	L 1-3	50.5	1487	1505	27.40%	26.20%	46.40%	-0.36	-9.8	17
2014-11-02	Randers	W 1-0	53.1	1595	1562	48.47%	25.91%	25.63%	+0.44	+5.7	21
2014-11-02	@ Brondby	L 0-1	53.1	1562	1595	25.63%	25.91%	48.47%	-0.44	-5.7	21
2014-11-02	Sonderjyske	D 1-1	69.0	1607	1532	53.68%	24.89%	21.43%	+0.66	-1.4	22
2014-11-02	@ FC Copenhagen	D 1-1	69.0	1532	1607	21.43%	24.89%	53.68%	-0.66	+1.4	15
2014-11-03	Silkeborg	W 2-0	40.5	1593	1431	63.27%	21.88%	14.85%	+1.10	+6.4	18
2014-11-03	@ Aalborg	L 0-2	40.5	1431	1593	14.85%	21.88%	63.27%	-1.10	-6.4	4
2014-11-07	Midtjylland	L 1-2	53.9	1425	1661	16.97%	23.09%	59.95%	-0.94	-3.7	4
2014-11-07	@ Silkeborg	W 2-1	53.9	1661	1425	59.95%	23.09%	16.97%	+0.94	+3.7	34
2014-11-08	Esbjerg	W 3-2	66.4	1556	1582	40.44%	26.70%	32.86%	+0.14	+6.2	24
2014-11-08	@ Randers	L 2-3	66.4	1582	1556	32.86%	26.70%	40.44%	-0.14	-6.2	15
2014-11-09	Brondby	W 3-0	51.3	1478	1601	27.48%	26.21%	46.32%	-0.36	+24.7	20
2014-11-09	@ Hobro	L 0-3	51.3	1601	1478	46.32%	26.21%	27.48%	+0.36	-24.7	21
2014-11-09	FC Copenhagen	D 0-0	63.3	1542	1606	35.02%	26.78%	38.20%	-0.06	+0.1	21
2014-11-09	@ Nordsjaelland	D 0-0	63.3	1606	1542	38.20%	26.78%	35.02%	+0.06	-0.1	23
2014-11-09	Odense	W 2-1	56.6	1533	1515	46.53%	26.18%	27.29%	+0.37	+5.6	18
2014-11-09	@ Sonderjyske	L 1-2	56.6	1515	1533	27.29%	26.18%	46.53%	-0.37	-5.7	12
2014-11-09	Vestsjaelland	W 2-0	42.5	1600	1461	60.82%	22.79%	16.39%	+0.98	+7.1	21
2014-11-09	@ Aalborg	L 0-2	42.5	1461	1600	16.39%	22.79%	60.82%	-0.98	-7.1	14
2014-11-21	Randers	L 0-1	49.7	1454	1562	29.28%	26.43%	44.28%	-0.28	-6.3	14
2014-11-21	@ Vestsjaelland	W 1-0	49.7	1562	1454	44.28%	26.43%	29.28%	+0.28	+6.3	27
2014-11-22	Hobro	W 4-2	55.0	1576	1502	53.45%	24.94%	21.61%	+0.65	+7.2	18
2014-11-22	@ Esbjerg	L 2-4	55.0	1502	1576	21.61%	24.94%	53.45%	-0.65	-7.2	20
2014-11-22	Silkeborg	W 1-0	43.7	1606	1421	65.52%	20.96%	13.52%	+1.22	+3.1	26
2014-11-22	@ FC Copenhagen	L 0-1	43.7	1421	1606	13.52%	20.96%	65.52%	-1.22	-3.1	4
2014-11-23	Aalborg	W 2-0	50.7	1665	1607	51.60%	25.34%	23.05%	+0.57	+9.8	37
2014-11-23	@ Midtjylland	L 0-2	50.7	1607	1665	23.05%	25.34%	51.60%	-0.57	-9.8	21
2014-11-23	Nordsjaelland	W 1-0	52.4	1509	1542	39.49%	26.74%	33.77%	+0.10	+7.1	15
2014-11-23	@ Odense	L 0-1	52.4	1542	1509	33.77%	26.74%	39.49%	-0.10	-7.1	21
2014-11-23	Sonderjyske	W 1-0	51.8	1576	1539	48.91%	25.83%	25.25%	+0.46	+5.6	24
2014-11-23	@ Brondby	L 0-1	51.8	1539	1576	25.25%	25.83%	48.91%	-0.46	-5.6	18
2014-11-28	Esbjerg	D 0-0	62.4	1533	1583	37.12%	26.79%	36.09%	+0.02	-0.0	19
2014-11-28	@ Sonderjyske	D 0-0	62.4	1583	1533	36.09%	26.79%	37.12%	-0.02	+0.1	19
2014-11-29	Odense	L 0-1	47.1	1418	1516	30.52%	26.55%	42.93%	-0.23	-6.6	4
2014-11-29	@ Silkeborg	W 1-0	47.1	1516	1418	42.93%	26.55%	30.52%	+0.23	+6.6	18
2014-11-30	Brondby	W 2-0	51.4	1535	1582	37.53%	26.79%	35.69%	+0.03	+13.9	24
2014-11-30	@ Nordsjaelland	L 0-2	51.4	1582	1535	35.69%	26.79%	37.53%	-0.03	-13.9	24
2014-11-30	FC Copenhagen	L 0-1	59.6	1597	1609	42.42%	26.59%	30.99%	+0.21	-8.4	21
2014-11-30	@ Aalborg	W 1-0	59.6	1609	1597	30.99%	26.59%	42.42%	-0.21	+8.4	29
2014-11-30	Randers	L 0-1	52.9	1495	1568	33.77%	26.74%	39.49%	-0.10	-7.1	20
2014-11-30	@ Hobro	W 1-0	52.9	1568	1495	39.49%	26.74%	33.77%	+0.10	+7.1	30
2014-12-01	Vestsjaelland	W 2-1	52.2	1675	1448	69.54%	19.14%	11.32%	+1.44	+2.4	40
2014-12-01	@ Midtjylland	L 1-2	52.2	1448	1675	11.32%	19.14%	69.54%	-1.44	-2.4	14
2014-12-05	Sonderjyske	D 0-0	62.5	1575	1533	49.58%	25.72%	24.70%	+0.49	-1.2	31
2014-12-05	@ Randers	D 0-0	62.5	1533	1575	24.70%	25.72%	49.58%	-0.49	+1.2	20
2014-12-06	Aalborg	D 1-1	67.5	1523	1589	34.79%	26.77%	38.44%	-0.07	+0.1	19
2014-12-06	@ Odense	D 1-1	67.5	1589	1523	38.44%	26.77%	34.79%	+0.07	-0.1	22
2014-12-07	Hobro	D 1-1	61.1	1445	1488	38.11%	26.78%	35.11%	+0.05	-0.1	15
2014-12-07	@ Vestsjaelland	D 1-1	61.1	1488	1445	35.11%	26.78%	38.11%	-0.05	+0.1	21
2014-12-07	Midtjylland	W 3-0	54.1	1617	1677	35.62%	26.79%	37.60%	-0.04	+21.0	32
2014-12-07	@ FC Copenhagen	L 0-3	54.1	1677	1617	37.60%	26.79%	35.62%	+0.04	-21.0	40
2014-12-07	Silkeborg	W 1-0	42.8	1568	1412	62.64%	22.12%	15.24%	+1.07	+3.5	27
2014-12-07	@ Brondby	L 0-1	42.8	1412	1568	15.24%	22.12%	62.64%	-1.07	-3.5	4
2014-12-08	Nordsjaelland	D 0-0	63.1	1583	1549	48.56%	25.89%	25.55%	+0.45	-1.1	20
2014-12-08	@ Esbjerg	D 0-0	63.1	1549	1583	25.55%	25.89%	48.56%	-0.45	+1.1	25
2015-02-20	Randers	L 0-3	51.3	1550	1574	40.67%	26.69%	32.63%	+0.15	-22.3	25
2015-02-20	@ Nordsjaelland	W 3-0	51.3	1574	1550	32.63%	26.69%	40.67%	-0.15	+22.3	34
2015-02-21	Esbjerg	L 1-3	48.6	1408	1582	22.16%	25.10%	52.74%	-0.62	-8.2	4
2015-02-21	@ Silkeborg	W 3-1	48.6	1582	1408	52.74%	25.10%	22.16%	+0.62	+8.2	23
2015-02-22	Brondby	W 1-0	53.8	1589	1571	46.39%	26.20%	27.41%	+0.36	+6.0	25
2015-02-22	@ Aalborg	L 0-1	53.8	1571	1589	27.41%	26.20%	46.39%	-0.36	-6.0	27
2015-02-22	Hobro	W 1-0	48.2	1535	1488	50.12%	25.63%	24.25%	+0.51	+5.4	23
2015-02-22	@ Sonderjyske	L 0-1	48.2	1488	1535	24.25%	25.63%	50.12%	-0.51	-5.4	21
2015-02-22	Vestsjaelland	W 2-0	41.6	1638	1445	66.35%	20.60%	13.05%	+1.26	+5.5	35
2015-02-22	@ FC Copenhagen	L 0-2	41.6	1445	1638	13.05%	20.60%	66.35%	-1.26	-5.5	15
2015-02-23	Odense	W 3-0	44.5	1656	1523	60.26%	22.98%	16.76%	+0.96	+10.5	43
2015-02-23	@ Midtjylland	L 0-3	44.5	1523	1656	16.76%	22.98%	60.26%	-0.96	-10.5	19
2015-02-27	Sonderjyske	L 0-1	48.6	1440	1540	30.24%	26.53%	43.23%	-0.24	-6.5	15
2015-02-27	@ Vestsjaelland	W 1-0	48.6	1540	1440	43.23%	26.53%	30.24%	+0.24	+6.5	26
2015-02-28	Nordsjaelland	W 1-0	51.4	1483	1528	37.78%	26.78%	35.44%	+0.04	+7.3	24
2015-02-28	@ Hobro	L 0-1	51.4	1528	1483	35.44%	26.78%	37.78%	-0.04	-7.3	25
2015-03-01	FC Copenhagen	W 1-0	59.7	1512	1644	26.51%	26.06%	47.43%	-0.40	+9.2	22
2015-03-01	@ Odense	L 0-1	59.7	1644	1512	47.43%	26.06%	26.51%	+0.40	-9.2	35
2015-03-01	Midtjylland	D 1-1	70.7	1565	1667	30.04%	26.51%	43.45%	-0.25	+0.5	28
2015-03-01	@ Brondby	D 1-1	70.7	1667	1565	43.45%	26.51%	30.04%	+0.25	-0.5	44
2015-03-01	Silkeborg	L 1-2	64.8	1597	1400	66.69%	20.45%	12.85%	+1.28	-11.5	34
2015-03-01	@ Randers	W 2-1	64.8	1400	1597	12.85%	20.45%	66.69%	-1.28	+11.5	7
2015-03-02	Aalborg	L 1-3	61.7	1590	1595	43.43%	26.51%	30.06%	+0.25	-14.0	23
2015-03-02	@ Esbjerg	W 3-1	61.7	1595	1590	30.06%	26.51%	43.43%	-0.25	+14.0	28
2015-03-07	Sonderjyske	W 4-0	47.2	1520	1546	40.42%	26.71%	32.88%	+0.14	+24.9	28
2015-03-07	@ Nordsjaelland	L 0-4	47.2	1546	1520	32.88%	26.71%	40.42%	-0.14	-24.9	26
2015-03-08	Brondby	W 3-1	55.2	1635	1566	52.93%	25.06%	22.01%	+0.63	+8.1	38
2015-03-08	@ FC Copenhagen	L 1-3	55.2	1566	1635	22.01%	25.06%	52.93%	-0.63	-8.1	28
2015-03-08	Esbjerg	W 3-0	47.3	1666	1576	55.43%	24.45%	20.12%	+0.73	+12.6	47
2015-03-08	@ Midtjylland	L 0-3	47.3	1576	1666	20.12%	24.45%	55.43%	-0.73	-12.6	23
2015-03-08	Hobro	L 0-1	46.8	1412	1490	33.05%	26.71%	40.24%	-0.13	-7.0	7
2015-03-08	@ Silkeborg	W 1-0	46.8	1490	1412	40.24%	26.71%	33.05%	+0.13	+7.0	27
2015-03-08	Randers	W 2-1	60.8	1609	1585	47.17%	26.10%	26.74%	+0.39	+5.5	31
2015-03-08	@ Aalborg	L 1-2	60.8	1585	1609	26.74%	26.10%	47.17%	-0.39	-5.6	34
2015-03-09	Odense	L 1-2	54.6	1433	1522	31.76%	26.64%	41.60%	-0.18	-6.4	15
2015-03-09	@ Vestsjaelland	W 2-1	54.6	1522	1433	41.60%	26.64%	31.76%	+0.18	+6.4	25
2015-03-13	Midtjylland	L 1-2	63.3	1580	1679	30.36%	26.54%	43.10%	-0.24	-6.2	34
2015-03-13	@ Randers	W 2-1	63.3	1679	1580	43.10%	26.54%	30.36%	+0.24	+6.2	50
2015-03-14	Silkeborg	L 1-4	53.7	1522	1405	58.49%	23.56%	17.95%	+0.87	-25.3	26
2015-03-14	@ Sonderjyske	W 4-1	53.7	1405	1522	17.95%	23.56%	58.49%	-0.87	+25.3	10
2015-03-15	FC Copenhagen	L 0-1	56.8	1563	1643	32.94%	26.71%	40.35%	-0.13	-7.0	23
2015-03-15	@ Esbjerg	W 1-0	56.8	1643	1563	40.35%	26.71%	32.94%	+0.13	+7.0	41
2015-03-15	Odense	W 2-0	47.2	1557	1528	47.96%	25.98%	26.06%	+0.42	+10.9	31
2015-03-15	@ Brondby	L 0-2	47.2	1528	1557	26.06%	25.98%	47.96%	-0.42	-10.9	25
2015-03-15	Vestsjaelland	W 2-0	39.9	1545	1427	58.61%	23.53%	17.87%	+0.88	+7.7	31
2015-03-15	@ Nordsjaelland	L 0-2	39.9	1427	1545	17.87%	23.53%	58.61%	-0.88	-7.7	15
2015-03-16	Aalborg	W 1-0	57.9	1497	1614	28.18%	26.30%	45.52%	-0.33	+8.9	30
2015-03-16	@ Hobro	L 0-1	57.9	1614	1497	45.52%	26.30%	28.18%	+0.33	-8.9	31
2015-03-20	Esbjerg	L 0-2	50.8	1517	1557	38.56%	26.77%	34.67%	+0.07	-14.8	25
2015-03-20	@ Odense	W 2-0	50.8	1557	1517	34.67%	26.77%	38.56%	-0.07	+14.8	26
2015-03-21	Hobro	W 3-0	43.4	1685	1506	64.98%	21.19%	13.83%	+1.19	+8.6	53
2015-03-21	@ Midtjylland	L 0-3	43.4	1506	1685	13.83%	21.19%	64.98%	-1.19	-8.6	30
2015-03-22	Brondby	L 0-1	47.0	1419	1568	24.60%	25.70%	49.70%	-0.49	-5.5	15
2015-03-22	@ Vestsjaelland	W 1-0	47.0	1568	1419	49.70%	25.70%	24.60%	+0.49	+5.5	34
2015-03-22	Nordsjaelland	D 2-2	69.4	1430	1553	27.48%	26.21%	46.31%	-0.36	+0.6	11
2015-03-22	@ Silkeborg	D 2-2	69.4	1553	1430	46.31%	26.21%	27.48%	+0.36	-0.6	32
2015-03-22	Randers	D 1-1	71.0	1650	1573	53.80%	24.86%	21.34%	+0.66	-1.4	42
2015-03-22	@ FC Copenhagen	D 1-1	71.0	1573	1650	21.34%	24.86%	53.80%	-0.66	+1.4	35
2015-03-22	Sonderjyske	L 1-4	59.9	1605	1496	57.57%	23.85%	18.58%	+0.83	-24.9	31
2015-03-22	@ Aalborg	W 4-1	59.9	1496	1605	18.58%	23.85%	57.57%	-0.83	+25.0	29
2015-04-04	Nordsjaelland	L 1-2	61.4	1521	1552	39.76%	26.73%	33.51%	+0.11	-7.5	29
2015-04-04	@ Sonderjyske	W 2-1	61.4	1552	1521	33.51%	26.73%	39.76%	-0.11	+7.5	35
2015-04-05	Midtjylland	D 3-3	81.1	1571	1694	27.57%	26.22%	46.22%	-0.36	+0.5	27
2015-04-05	@ Esbjerg	D 3-3	81.1	1694	1571	46.22%	26.22%	27.57%	+0.36	-0.5	54
2015-04-05	Silkeborg	D 2-2	67.7	1497	1430	52.67%	25.12%	22.21%	+0.62	-1.0	31
2015-04-05	@ Hobro	D 2-2	67.7	1430	1497	22.21%	25.12%	52.67%	-0.62	+1.0	12
2015-04-06	Aalborg	D 1-1	68.9	1575	1580	43.30%	26.52%	30.18%	+0.24	-0.5	36
2015-04-06	@ Randers	D 1-1	68.9	1580	1575	30.18%	26.52%	43.30%	-0.24	+0.5	32
2015-04-06	FC Copenhagen	D 0-0	65.1	1574	1648	33.59%	26.74%	39.68%	-0.11	+0.3	35
2015-04-06	@ Brondby	D 0-0	65.1	1648	1574	39.68%	26.74%	33.59%	+0.11	-0.3	43
2015-04-07	Vestsjaelland	L 1-2	59.6	1502	1414	55.25%	24.50%	20.25%	+0.73	-9.8	25
2015-04-07	@ Odense	W 2-1	59.6	1414	1502	20.25%	24.50%	55.25%	-0.73	+9.8	18
2015-04-10	Esbjerg	W 3-1	57.2	1496	1572	33.48%	26.73%	39.78%	-0.11	+13.1	34
2015-04-10	@ Hobro	L 1-3	57.2	1572	1496	39.78%	26.73%	33.48%	+0.11	-13.1	27
2015-04-11	Vestsjaelland	D 1-1	64.8	1574	1424	62.10%	22.32%	15.57%	+1.05	-2.0	37
2015-04-11	@ Randers	D 1-1	64.8	1424	1574	15.57%	22.32%	62.10%	-1.05	+2.0	19
2015-04-12	Brondby	L 0-1	54.3	1514	1574	35.56%	26.79%	37.65%	-0.04	-7.4	29
2015-04-12	@ Sonderjyske	W 1-0	54.3	1574	1514	37.65%	26.79%	35.56%	+0.04	+7.4	38
2015-04-12	Midtjylland	L 1-2	63.0	1581	1693	28.75%	26.37%	44.88%	-0.30	-5.9	32
2015-04-12	@ Aalborg	W 2-1	63.0	1693	1581	44.88%	26.37%	28.75%	+0.30	+5.9	57
2015-04-12	Odense	L 1-2	64.0	1560	1493	52.70%	25.11%	22.19%	+0.62	-9.5	35
2015-04-12	@ Nordsjaelland	W 2-1	64.0	1493	1560	22.19%	25.11%	52.70%	-0.62	+9.5	28
2015-04-13	FC Copenhagen	L 0-4	42.5	1431	1648	18.44%	23.78%	57.78%	-0.84	-15.1	12
2015-04-13	@ Silkeborg	W 4-0	42.5	1648	1431	57.78%	23.78%	18.44%	+0.84	+15.1	46
2015-04-17	Silkeborg	W 1-0	44.1	1699	1416	74.34%	16.70%	8.95%	+1.72	+1.9	60
2015-04-17	@ Midtjylland	L 0-1	44.1	1416	1699	8.95%	16.70%	74.34%	-1.72	-1.9	12
2015-04-18	Aalborg	W 2-1	61.4	1426	1575	24.58%	25.70%	49.72%	-0.49	+9.0	22
2015-04-18	@ Vestsjaelland	L 1-2	61.4	1575	1426	49.72%	25.70%	24.58%	+0.49	-9.0	32
2015-04-19	Hobro	L 0-1	59.1	1581	1509	53.28%	24.98%	21.74%	+0.64	-10.1	38
2015-04-19	@ Brondby	W 1-0	59.1	1509	1581	21.74%	24.98%	53.28%	-0.64	+10.1	37
2015-04-19	Nordsjaelland	W 2-0	47.7	1663	1550	58.03%	23.71%	18.27%	+0.85	+7.9	49
2015-04-19	@ FC Copenhagen	L 0-2	47.7	1550	1663	18.27%	23.71%	58.03%	-0.85	-7.9	35
2015-04-19	Sonderjyske	D 0-0	58.7	1502	1506	43.45%	26.51%	30.04%	+0.25	-0.6	29
2015-04-19	@ Odense	D 0-0	58.7	1506	1502	30.04%	26.51%	43.45%	-0.25	+0.6	30
2015-04-20	Randers	D 0-0	62.9	1559	1572	42.18%	26.60%	31.21%	+0.20	-0.5	28
2015-04-20	@ Esbjerg	D 0-0	62.9	1572	1559	31.21%	26.60%	42.18%	-0.20	+0.5	38
2015-04-24	Odense	L 0-2	53.7	1558	1501	51.42%	25.38%	23.20%	+0.56	-18.5	28
2015-04-24	@ Esbjerg	W 2-0	53.7	1501	1558	23.20%	25.38%	51.42%	-0.56	+18.5	32
2015-04-25	Silkeborg	W 1-0	42.9	1542	1414	59.69%	23.17%	17.13%	+0.93	+3.9	38
2015-04-25	@ Nordsjaelland	L 0-1	42.9	1414	1542	17.13%	23.17%	59.69%	-0.93	-3.9	12
2015-04-26	Aalborg	L 0-3	48.2	1507	1566	35.77%	26.79%	37.45%	-0.03	-20.3	30
2015-04-26	@ Sonderjyske	W 3-0	48.2	1566	1507	37.45%	26.79%	35.77%	+0.03	+20.3	35
2015-04-26	FC Copenhagen	W 3-0	54.8	1573	1671	30.46%	26.54%	42.99%	-0.23	+23.3	41
2015-04-26	@ Randers	L 0-3	54.8	1671	1573	42.99%	26.54%	30.46%	+0.23	-23.3	49
2015-04-26	Vestsjaelland	W 4-0	39.0	1571	1435	60.63%	22.86%	16.52%	+0.97	+13.5	41
2015-04-26	@ Brondby	L 0-4	39.0	1435	1571	16.52%	22.86%	60.63%	-0.97	-13.5	22
2015-04-27	Midtjylland	D 0-0	65.6	1520	1701	21.45%	24.89%	53.66%	-0.66	+1.5	38
2015-04-27	@ Hobro	D 0-0	65.6	1701	1520	53.66%	24.89%	21.45%	+0.66	-1.5	61
2015-05-01	Hobro	W 5-0	45.9	1586	1521	52.43%	25.17%	22.40%	+0.61	+22.3	38
2015-05-01	@ Aalborg	L 0-5	45.9	1521	1586	22.40%	25.17%	52.43%	-0.61	-22.3	38
2015-05-02	Sonderjyske	D 2-2	66.2	1410	1487	33.36%	26.73%	39.92%	-0.12	+0.2	13
2015-05-02	@ Silkeborg	D 2-2	66.2	1487	1410	39.92%	26.73%	33.36%	+0.12	-0.2	31
2015-05-03	Brondby	L 0-2	50.8	1520	1585	34.92%	26.78%	38.31%	-0.06	-13.7	32
2015-05-03	@ Odense	W 2-0	50.8	1585	1520	38.31%	26.78%	34.92%	+0.06	+13.7	44
2015-05-03	Esbjerg	W 2-1	57.5	1648	1540	57.50%	23.87%	18.64%	+0.83	+4.0	52
2015-05-03	@ FC Copenhagen	L 1-2	57.5	1540	1648	18.64%	23.87%	57.50%	-0.83	-4.0	28
2015-05-03	Nordsjaelland	W 2-1	59.3	1421	1546	27.22%	26.17%	46.61%	-0.37	+8.6	25
2015-05-03	@ Vestsjaelland	L 1-2	59.3	1546	1421	46.61%	26.17%	27.22%	+0.37	-8.5	38
2015-05-04	Randers	W 5-2	54.9	1699	1596	56.94%	24.03%	19.03%	+0.80	+8.7	64
2015-05-04	@ Midtjylland	L 2-5	54.9	1596	1699	19.03%	24.03%	56.94%	-0.80	-8.7	41
2015-05-08	Nordsjaelland	W 2-0	47.7	1587	1538	50.52%	25.56%	23.93%	+0.53	+10.1	44
2015-05-08	@ Randers	L 0-2	47.7	1538	1587	23.93%	25.56%	50.52%	-0.53	-10.1	38
2015-05-09	Silkeborg	W 5-2	44.1	1536	1411	59.36%	23.28%	17.36%	+0.91	+8.0	31
2015-05-09	@ Esbjerg	L 2-5	44.1	1411	1536	17.36%	23.28%	59.36%	-0.91	-7.9	13
2015-05-10	Aalborg	D 1-1	70.2	1599	1608	42.69%	26.57%	30.74%	+0.22	-0.5	45
2015-05-10	@ Brondby	D 1-1	70.2	1608	1599	30.74%	26.57%	42.69%	-0.22	+0.5	39
2015-05-10	Midtjylland	W 3-1	65.5	1506	1708	19.65%	24.28%	56.07%	-0.76	+17.2	35
2015-05-10	@ Odense	L 1-3	65.5	1708	1506	56.07%	24.28%	19.65%	+0.76	-17.2	64
2015-05-10	Sonderjyske	D 2-2	69.4	1499	1487	45.70%	26.28%	28.02%	+0.34	-0.5	39
2015-05-10	@ Hobro	D 2-2	69.4	1487	1499	28.02%	26.28%	45.70%	-0.34	+0.5	32
2015-05-11	FC Copenhagen	L 0-1	47.8	1430	1652	18.02%	23.60%	58.38%	-0.87	-4.1	25
2015-05-11	@ Vestsjaelland	W 1-0	47.8	1652	1430	58.38%	23.60%	18.02%	+0.87	+4.1	55
2015-05-15	Odense	L 0-2	56.9	1609	1523	54.88%	24.59%	20.53%	+0.71	-19.6	39
2015-05-15	@ Aalborg	W 2-0	56.9	1523	1609	20.53%	24.59%	54.88%	-0.71	+19.6	38
2015-05-17	Brondby	L 0-2	41.9	1403	1598	20.19%	24.48%	55.33%	-0.73	-8.7	13
2015-05-17	@ Silkeborg	W 2-0	41.9	1598	1403	55.33%	24.48%	20.19%	+0.73	+8.7	48
2015-05-17	FC Copenhagen	W 2-0	52.5	1691	1656	48.65%	25.88%	25.48%	+0.45	+10.7	67
2015-05-17	@ Midtjylland	L 0-2	52.5	1656	1691	25.48%	25.88%	48.65%	-0.45	-10.7	55
2015-05-17	Vestsjaelland	L 0-1	53.1	1498	1426	53.37%	24.96%	21.67%	+0.65	-10.1	39
2015-05-17	@ Hobro	W 1-0	53.1	1426	1498	21.67%	24.96%	53.37%	-0.65	+10.1	28
2015-05-18	Esbjerg	L 1-3	57.9	1528	1544	41.86%	26.63%	31.51%	+0.19	-13.6	38
2015-05-18	@ Nordsjaelland	W 3-1	57.9	1544	1528	31.51%	26.63%	41.86%	-0.19	+13.6	34
2015-05-18	Randers	D 1-1	66.8	1487	1597	28.98%	26.40%	44.62%	-0.29	+0.6	33
2015-05-18	@ Sonderjyske	D 1-1	66.8	1597	1487	44.62%	26.40%	28.98%	+0.29	-0.6	45
2015-05-20	Aalborg	W 1-0	54.0	1645	1589	51.32%	25.40%	23.28%	+0.56	+5.2	58
2015-05-20	@ FC Copenhagen	L 0-1	54.0	1589	1645	23.28%	25.40%	51.32%	-0.56	-5.2	39
2015-05-20	Silkeborg	D 1-1	62.6	1543	1394	61.93%	22.39%	15.68%	+1.04	-2.0	39
2015-05-20	@ Odense	D 1-1	62.6	1394	1543	15.68%	22.39%	61.93%	-1.04	+2.0	14
2015-05-21	Hobro	L 0-1	59.9	1597	1488	57.55%	23.85%	18.60%	+0.83	-10.8	45
2015-05-21	@ Randers	W 1-0	59.9	1488	1597	18.60%	23.85%	57.55%	-0.83	+10.8	42
2015-05-21	Midtjylland	D 0-0	64.4	1436	1701	15.00%	21.97%	63.03%	-1.09	+2.4	29
2015-05-21	@ Vestsjaelland	D 0-0	64.4	1701	1436	63.03%	21.97%	15.00%	+1.09	-2.4	68
2015-05-21	Nordsjaelland	W 3-1	52.3	1607	1514	55.72%	24.37%	19.91%	+0.75	+7.4	51
2015-05-21	@ Brondby	L 1-3	52.3	1514	1607	19.91%	24.37%	55.72%	-0.75	-7.4	38
2015-05-21	Sonderjyske	L 2-3	68.9	1557	1488	52.97%	25.05%	21.98%	+0.63	-9.0	34
2015-05-21	@ Esbjerg	W 3-2	68.9	1488	1557	21.98%	25.05%	52.97%	-0.63	+9.0	36
2015-05-24	Vestsjaelland	D 1-1	61.6	1497	1438	51.66%	25.33%	23.01%	+0.57	-1.2	37
2015-05-24	@ Sonderjyske	D 1-1	61.6	1438	1497	23.01%	25.33%	51.66%	-0.57	+1.2	30
2015-05-25	Brondby	L 2-3	75.9	1699	1614	54.81%	24.61%	20.58%	+0.71	-9.3	68
2015-05-25	@ Midtjylland	W 3-2	75.9	1614	1699	20.58%	24.61%	54.81%	-0.71	+9.3	54
2015-05-25	Hobro	W 4-2	54.9	1507	1499	45.09%	26.35%	28.56%	+0.31	+9.1	41
2015-05-25	@ Nordsjaelland	L 2-4	54.9	1499	1507	28.56%	26.35%	45.09%	-0.31	-9.1	42
2015-05-25	Odense	W 1-0	51.2	1651	1541	57.65%	23.82%	18.53%	+0.83	+4.2	61
2015-05-25	@ FC Copenhagen	L 0-1	51.2	1541	1651	18.53%	23.82%	57.65%	-0.83	-4.2	39
2015-05-25	Randers	L 0-2	41.4	1396	1586	20.67%	24.64%	54.69%	-0.70	-8.9	14
2015-05-25	@ Silkeborg	W 2-0	41.4	1586	1396	54.69%	24.64%	20.67%	+0.70	+8.9	48
2015-05-26	Esbjerg	W 1-0	52.3	1584	1548	48.80%	25.85%	25.35%	+0.46	+5.6	42
2015-05-26	@ Aalborg	L 0-1	52.3	1548	1584	25.35%	25.85%	48.80%	-0.46	-5.6	34
2015-05-31	Aalborg	L 1-2	51.0	1387	1590	19.58%	24.25%	56.17%	-0.77	-4.2	14
2015-05-31	@ Silkeborg	W 2-1	51.0	1590	1387	56.17%	24.25%	19.58%	+0.77	+4.2	45
2015-05-31	Brondby	D 1-1	70.3	1595	1623	40.09%	26.72%	33.19%	+0.13	-0.3	49
2015-05-31	@ Randers	D 1-1	70.3	1623	1595	33.19%	26.72%	40.09%	-0.13	+0.3	55
2015-05-31	FC Copenhagen	L 1-2	58.5	1496	1655	23.56%	25.47%	50.98%	-0.54	-5.0	37
2015-05-31	@ Sonderjyske	W 2-1	58.5	1655	1496	50.98%	25.47%	23.56%	+0.54	+5.0	64
2015-05-31	Midtjylland	W 1-0	62.2	1516	1690	22.12%	25.09%	52.79%	-0.62	+10.0	44
2015-05-31	@ Nordsjaelland	L 0-1	62.2	1690	1516	52.79%	25.09%	22.12%	+0.62	-10.0	68
2015-05-31	Odense	D 2-2	70.8	1490	1537	37.48%	26.79%	35.73%	+0.03	-0.0	43
2015-05-31	@ Hobro	D 2-2	70.8	1537	1490	35.73%	26.79%	37.48%	-0.03	+0.0	40
2015-05-31	Vestsjaelland	W 2-1	51.0	1543	1439	56.94%	24.03%	19.03%	+0.80	+4.1	37
2015-05-31	@ Esbjerg	L 1-2	51.0	1439	1543	19.03%	24.03%	56.94%	-0.80	-4.1	30
2015-06-07	Esbjerg	L 0-1	61.6	1624	1547	53.89%	24.84%	21.27%	+0.67	-10.2	55
2015-06-07	@ Brondby	W 1-0	61.6	1547	1624	21.27%	24.84%	53.89%	-0.67	+10.2	40
2015-06-07	Hobro	W 1-0	48.2	1660	1490	64.08%	21.56%	14.37%	+1.14	+3.3	67
2015-06-07	@ FC Copenhagen	L 0-1	48.2	1490	1660	14.37%	21.56%	64.08%	-1.14	-3.3	43
2015-06-07	Nordsjaelland	W 1-0	50.7	1594	1526	52.82%	25.08%	22.09%	+0.62	+5.0	48
2015-06-07	@ Aalborg	L 0-1	50.7	1526	1594	22.09%	25.08%	52.82%	-0.62	-5.0	44
2015-06-07	Randers	L 0-2	51.9	1537	1595	35.93%	26.79%	37.28%	-0.02	-14.0	40
2015-06-07	@ Odense	W 2-0	51.9	1595	1537	37.28%	26.79%	35.93%	+0.02	+14.0	52
2015-06-07	Silkeborg	W 3-1	43.6	1435	1383	50.85%	25.49%	23.66%	+0.54	+8.7	33
2015-06-07	@ Vestsjaelland	L 1-3	43.6	1383	1435	23.66%	25.49%	50.85%	-0.54	-8.7	14
2015-06-07	Sonderjyske	W 2-1	54.6	1680	1490	65.98%	20.76%	13.25%	+1.24	+2.8	71
2015-06-07	@ Midtjylland	L 1-2	54.6	1490	1680	13.25%	20.76%	65.98%	-1.24	-2.8	37

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	2015-03-01	12.85%	Silkeborg	1400	2	@ Randers	1597	1
2	2014-08-10	16.32%	Hobro	1475	3	@ FC Copenhagen	1614	0
3	2015-03-14	17.95%	Silkeborg	1405	4	@ Sonderjyske	1522	1
4	2015-03-22	18.58%	Sonderjyske	1496	4	@ Aalborg	1605	1
5	2015-05-21	18.60%	Hobro	1488	1	@ Randers	1597	0
6	2015-05-10	19.65%	@ Odense	1506	3	Midtjylland	1708	1
7	2014-07-20	19.99%	Hobro	1452	2	@ Odense	1544	1
8	2015-04-07	20.25%	Vestsjaelland	1414	2	@ Odense	1502	1
9	2015-05-15	20.53%	Odense	1523	2	@ Aalborg	1609	0
10	2015-05-25	20.58%	Brondby	1614	3	@ Midtjylland	1699	2
11	2015-06-07	21.27%	Esbjerg	1547	1	@ Brondby	1624	0
12	2015-05-17	21.67%	Vestsjaelland	1426	1	@ Hobro	1498	0
13	2015-04-19	21.74%	Hobro	1509	1	@ Brondby	1581	0
14	2015-05-21	21.98%	Sonderjyske	1488	3	@ Esbjerg	1557	2
15	2015-05-31	22.12%	@ Nordsjaelland	1516	1	Midtjylland	1690	0
16	2015-04-12	22.19%	Odense	1493	2	@ Nordsjaelland	1560	1
17	2014-09-14	22.38%	Randers	1527	2	@ Brondby	1592	0
18	2015-04-24	23.20%	Odense	1501	2	@ Esbjerg	1558	0
19	2014-08-09	24.22%	Nordsjaelland	1562	2	@ Aalborg	1608	1
20	2014-10-18	24.50%	Sonderjyske	1523	3	@ Nordsjaelland	1567	2
21	2015-04-18	24.58%	@ Vestsjaelland	1426	2	Aalborg	1575	1
22	2014-07-21	24.88%	Randers	1533	1	@ Esbjerg	1573	0
23	2015-03-01	26.51%	@ Odense	1512	1	FC Copenhagen	1644	0
24	2014-08-17	27.15%	Odense	1524	2	@ Randers	1543	0
25	2015-05-03	27.22%	@ Vestsjaelland	1421	2	Nordsjaelland	1546	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	2014-08-10	31.00	Hobro	3	1475	16.32%	@ FC Copenhagen	0	1614	60.93%	22.75%
2	2015-03-14	25.28	Silkeborg	4	1405	17.95%	@ Sonderjyske	1	1522	58.49%	23.56%
3	2015-03-22	24.95	Sonderjyske	4	1496	18.58%	@ Aalborg	1	1605	57.57%	23.85%
4	2015-03-07	24.86	@ Nordsjaelland	4	1520	40.42%	Sonderjyske	0	1546	32.88%	26.71%
5	2014-11-09	24.71	@ Hobro	3	1478	27.48%	Brondby	0	1601	46.32%	26.21%
6	2014-08-31	23.87	Brondby	3	1568	29.21%	@ Nordsjaelland	0	1571	44.37%	26.42%
7	2015-04-26	23.29	@ Randers	3	1573	30.46%	FC Copenhagen	0	1671	42.99%	26.54%
8	2015-05-01	22.32	@ Aalborg	5	1586	52.43%	Hobro	0	1521	22.40%	25.17%
9	2015-02-20	22.31	Randers	3	1574	32.63%	@ Nordsjaelland	0	1550	40.67%	26.69%
10	2014-12-07	21.02	@ FC Copenhagen	3	1617	35.62%	Midtjylland	0	1677	37.60%	26.79%
11	2014-10-19	20.75	@ Brondby	5	1574	54.69%	Vestsjaelland	0	1490	20.67%	24.64%
12	2015-04-26	20.27	Aalborg	3	1566	37.45%	@ Sonderjyske	0	1507	35.77%	26.79%
13	2015-05-15	19.57	Odense	2	1523	20.53%	@ Aalborg	0	1609	54.88%	24.59%
14	2014-09-14	18.85	Randers	2	1527	22.38%	@ Brondby	0	1592	52.45%	25.17%
15	2015-04-24	18.54	Odense	2	1501	23.20%	@ Esbjerg	0	1558	51.42%	25.38%
16	2014-10-03	18.40	Midtjylland	5	1633	45.42%	@ Hobro	1	1517	28.27%	26.31%
17	2015-05-10	17.25	@ Odense	3	1506	19.65%	Midtjylland	1	1708	56.07%	24.28%
18	2014-08-17	17.13	Odense	2	1524	27.15%	@ Randers	0	1543	46.69%	26.16%
19	2014-08-03	16.77	@ Hobro	2	1458	28.19%	Brondby	0	1575	45.51%	26.30%
20	2014-10-26	16.10	@ Randers	3	1545	47.29%	Odense	0	1521	26.63%	26.08%
21	2014-11-01	15.56	Esbjerg	4	1566	41.77%	@ Vestsjaelland	1	1477	31.60%	26.63%
22	2015-04-13	15.10	FC Copenhagen	4	1648	57.78%	@ Silkeborg	0	1431	18.44%	23.78%
23	2014-09-14	14.86	@ Esbjerg	3	1547	50.15%	Vestsjaelland	0	1500	24.23%	25.62%
24	2015-03-20	14.75	Esbjerg	2	1557	34.67%	@ Odense	0	1517	38.56%	26.77%
25	2014-08-01	14.44	Sonderjyske	2	1532	35.73%	@ Silkeborg	0	1485	37.48%	26.79%

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	2015-04-05	81.1	@ Esbjerg	3	1571	27.57%	Midtjylland	3	1694	46.22%	26.22%
2	2015-05-25	75.9	Brondby	3	1614	20.58%	@ Midtjylland	2	1699	54.81%	24.61%
3	2014-09-28	74.4	@ Esbjerg	2	1562	43.31%	Brondby	2	1567	30.17%	26.52%
4	2014-08-02	74.2	@ Vestsjaelland	2	1505	29.04%	FC Copenhagen	2	1615	44.55%	26.41%
5	2014-08-31	72.3	@ Silkeborg	2	1461	25.89%	Aalborg	2	1598	48.16%	25.95%
6	2015-03-22	71.0	@ FC Copenhagen	1	1650	53.80%	Randers	1	1573	21.34%	24.86%
7	2015-05-31	70.8	@ Hobro	2	1490	37.48%	Odense	2	1537	35.73%	26.79%
8	2015-03-01	70.7	@ Brondby	1	1565	30.04%	Midtjylland	1	1667	43.45%	26.51%
9	2015-05-31	70.3	@ Randers	1	1595	40.09%	Brondby	1	1623	33.19%	26.72%
10	2015-05-10	70.2	@ Brondby	1	1599	42.69%	Aalborg	1	1608	30.74%	26.57%
11	2014-10-25	69.8	@ Sonderjyske	1	1531	27.50%	Midtjylland	1	1654	46.29%	26.21%
12	2014-10-18	69.7	Sonderjyske	3	1523	24.50%	@ Nordsjaelland	2	1567	49.82%	25.68%
13	2015-03-22	69.4	@ Silkeborg	2	1430	27.48%	Nordsjaelland	2	1553	46.31%	26.21%
14	2015-05-10	69.4	@ Hobro	2	1499	45.70%	Sonderjyske	2	1487	28.02%	26.28%
15	2014-08-16	69.1	@ Aalborg	1	1599	49.85%	Esbjerg	1	1555	24.48%	25.68%
16	2014-11-02	69.0	@ FC Copenhagen	1	1607	53.68%	Sonderjyske	1	1532	21.43%	24.89%
17	2015-04-06	68.9	@ Randers	1	1575	43.30%	Aalborg	1	1580	30.18%	26.52%
18	2015-05-21	68.9	Sonderjyske	3	1488	21.98%	@ Esbjerg	2	1557	52.97%	25.05%
19	2014-09-27	68.6	@ Silkeborg	2	1451	34.74%	Hobro	2	1517	38.49%	26.77%
20	2014-08-02	68.2	@ Odense	1	1522	32.03%	Aalborg	1	1609	41.31%	26.66%
21	2015-04-05	67.7	@ Hobro	2	1497	52.67%	Silkeborg	2	1430	22.21%	25.12%
22	2014-12-06	67.5	@ Odense	1	1523	34.79%	Aalborg	1	1589	38.44%	26.77%
23	2014-09-27	67.4	@ Sonderjyske	1	1522	35.40%	FC Copenhagen	1	1584	37.81%	26.78%
24	2014-10-17	67.4	@ Aalborg	1	1587	55.23%	Hobro	1	1498	20.27%	24.50%
25	2014-07-27	67.2	@ Esbjerg	1	1563	48.37%	Sonderjyske	1	1531	25.71%	25.92%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2015-04-26	39.0	@ Brondby	4	1571	60.63%	Vestsjaelland	0	1435	16.52%	22.86%
2	2015-03-15	39.9	@ Nordsjaelland	2	1545	58.61%	Vestsjaelland	0	1427	17.87%	23.53%
3	2014-11-03	40.5	@ Aalborg	2	1593	63.27%	Silkeborg	0	1431	14.85%	21.88%
4	2015-05-25	41.4	Randers	2	1586	54.69%	@ Silkeborg	0	1396	20.67%	24.64%
5	2014-10-04	41.5	@ Odense	2	1523	53.29%	Silkeborg	0	1451	21.73%	24.98%
6	2015-02-22	41.6	@ FC Copenhagen	2	1638	66.35%	Vestsjaelland	0	1445	13.05%	20.60%
7	2015-05-17	41.9	Brondby	2	1598	55.33%	@ Silkeborg	0	1403	20.19%	24.48%
8	2014-11-09	42.5	@ Aalborg	2	1600	60.82%	Vestsjaelland	0	1461	16.39%	22.79%
9	2015-04-13	42.5	FC Copenhagen	4	1648	57.78%	@ Silkeborg	0	1431	18.44%	23.78%
10	2014-12-07	42.8	@ Brondby	1	1568	62.64%	Silkeborg	0	1412	15.24%	22.12%
11	2015-04-25	42.9	@ Nordsjaelland	1	1542	59.69%	Silkeborg	0	1414	17.13%	23.17%
12	2014-08-17	43.1	@ Vestsjaelland	2	1500	47.72%	Silkeborg	0	1472	26.26%	26.02%
13	2014-09-14	43.4	@ Esbjerg	3	1547	50.15%	Vestsjaelland	0	1500	24.23%	25.62%
14	2015-03-21	43.4	@ Midtjylland	3	1685	64.98%	Hobro	0	1506	13.83%	21.19%
15	2015-06-07	43.6	@ Vestsjaelland	3	1435	50.85%	Silkeborg	1	1383	23.66%	25.49%
16	2014-11-22	43.7	@ FC Copenhagen	1	1606	65.52%	Silkeborg	0	1421	13.52%	20.96%
17	2014-10-19	43.8	@ Brondby	5	1574	54.69%	Vestsjaelland	0	1490	20.67%	24.64%
18	2015-04-17	44.1	@ Midtjylland	1	1699	74.34%	Silkeborg	0	1416	8.95%	16.70%
19	2015-05-09	44.1	@ Esbjerg	5	1536	59.36%	Silkeborg	2	1411	17.36%	23.28%
20	2015-02-23	44.5	@ Midtjylland	3	1656	60.26%	Odense	0	1523	16.76%	22.98%
21	2014-07-28	44.7	@ Brondby	2	1565	53.21%	Silkeborg	0	1494	21.80%	25.00%
22	2014-10-26	45.0	@ Randers	3	1545	47.29%	Odense	0	1521	26.63%	26.08%
23	2014-09-19	45.8	@ Randers	1	1546	55.47%	Silkeborg	0	1455	20.09%	24.44%
24	2015-05-01	45.9	@ Aalborg	5	1586	52.43%	Hobro	0	1521	22.40%	25.17%
25	2015-03-08	46.8	Hobro	1	1490	40.24%	@ Silkeborg	0	1412	33.05%	26.71%