2015-16 Superliga Season

198 games

Final

Champion

FC Copenhagen

71 points · 11th Title

Last Title: 2012-13

Relegated

Hobro

18 pts

Biggest Overachiever

Sonderjyske

14.60 points above expected

62 points · 47.40 expected points

Biggest Disappointment

Hobro

12.74 points below expected

18 points · 30.74 expected points

League Table

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

#	Team	GP	W	D	L	Pts	GF	GA	GD	SimPts	vsSim
1	FC Copenhagen Champion	33	21	8	4	71	62	28	+34	60.45	+10.55
2	Sonderjyske	33	19	5	9	62	56	36	+20	47.40	+14.60
3	Midtjylland	33	17	8	8	59	57	33	+24	58.50	+0.50
4	Brondby	33	16	6	11	54	43	37	+6	51.45	+2.55
5	Aalborg	33	15	5	13	50	56	44	+12	52.83	-2.83
6	Randers	33	13	8	12	47	45	43	+2	48.32	-1.32
7	Odense	33	14	4	15	46	50	52	-2	43.09	+2.91
8	Viborg	33	11	7	15	40	34	42	-8	38.87	+1.13
9	Nordsjaelland	33	11	5	17	38	35	51	-16	39.85	-1.85
10	Aarhus GF	33	8	13	12	37	47	49	-2	40.50	-3.50
11	Esbjerg	33	7	9	17	30	38	64	-26	39.50	-9.50
12	Hobro Relegated	33	4	6	23	18	26	70	-44	30.74	-12.74

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

Top Overachievers & Disappointments

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

Biggest Overachievers

#	Team	Actual	Sim	vsSim
1	Sonderjyske	62	47.40	+14.60
2	FC Copenhagen	71	60.45	+10.55
3	Odense	46	43.09	+2.91
4	Brondby	54	51.45	+2.55
5	Viborg	40	38.87	+1.13

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Hobro	18	30.74	-12.74
2	Esbjerg	30	39.50	-9.50
3	Aarhus GF	37	40.50	-3.50
4	Aalborg	50	52.83	-2.83
5	Nordsjaelland	38	39.85	-1.85

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	Hobro	2	May 15 – May 22	1 in 81
2	Aalborg	5	Nov 1 – Dec 7	1 in 45
3	Nordsjaelland	3	Sep 12 – Sep 27	1 in 39
4	Sonderjyske	5	Apr 17 – May 11	1 in 30
5	Odense	3	Mar 4 – Mar 19	1 in 18

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Aalborg	3	May 12 – May 22	1 in 55
2	Brondby	3	Jul 19 – Aug 2	1 in 41
3	Odense	3	May 15 – May 26	1 in 37
4	Hobro	5	Aug 17 – Sep 20	1 in 35
5	Randers	3	Mar 6 – Mar 20	1 in 23

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Sonderjyske	7	Nov 21 – Mar 20	1 in 25
2	FC Copenhagen	11	Oct 4 – Mar 13	1 in 22
3	Aarhus GF	5	May 8 – May 26	1 in 22
4	Esbjerg	5	Mar 6 – Apr 11	1 in 22
5	Brondby	7	Sep 27 – Nov 22	1 in 20

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Aarhus GF	10	Feb 26 – May 8	1 in 50
2	Hobro	16	Nov 1 – May 11	1 in 42
3	Midtjylland	5	Nov 20 – Mar 7	1 in 28
4	Aalborg	5	May 12 – May 29	1 in 24
5	Randers	5	Dec 5 – Mar 20	1 in 21

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	1740	71	+11	12	10.4	+1.6
Sonderjyske	1656	62	+18	10	7.9	+2.1
Midtjylland	1700	59	+25	13	9.2	+3.8
Brondby	1621	54	+10	9	8.5	+0.5
Aalborg	1621	50	-48	1	8.0	-7.0
Randers	1595	47	-7	7	7.1	-0.1
Odense	1572	46	-13	6	7.3	-1.3
Viborg	1531	40	-7	6	6.3	-0.3
Nordsjaelland	1511	38	-13	4	5.5	-1.5
Aarhus GF	1547	37	+40	10	6.1	+3.9
Esbjerg	1469	30	-28	3	4.3	-1.3
Hobro	1390	18	+13	6	3.1	+2.9

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	HOB	MID	NOR	ODE	RAN	SON	VIB
Aalborg	—	1-1-1 5.02	3-0-0 4.26	1-1-1 5.34	0-0-3 3.33	3-0-0 5.64	0-2-1 3.77	1-0-2 5.14	1-0-2 5.10	1-1-1 4.66	2-0-1 4.63	2-0-1 5.30
Aarhus GF	1-1-1 3.32	—	1-1-1 3.24	1-1-1 4.52	0-2-1 2.36	1-1-1 5.03	1-1-1 2.37	1-1-1 4.17	1-2-0 3.69	1-0-2 3.64	0-2-1 3.85	0-1-2 3.96
Brondby	0-0-3 4.07	1-1-1 5.10	—	1-2-0 5.65	1-1-1 3.59	2-0-1 6.09	1-1-1 3.72	3-0-0 4.95	2-0-1 4.94	2-1-0 4.00	1-0-2 4.52	2-0-1 4.94
Esbjerg	1-1-1 3.01	1-1-1 3.81	0-2-1 2.72	—	0-0-3 2.66	0-3-0 5.03	0-1-2 2.80	2-1-0 3.87	1-0-2 3.88	1-0-2 3.30	0-0-3 3.71	1-0-2 4.10
FC Copenhagen	3-0-0 5.00	1-2-0 6.03	1-1-1 4.74	3-0-0 5.73	—	2-0-1 6.76	2-1-0 4.12	1-1-1 6.26	2-0-1 5.37	2-1-0 5.19	3-0-0 5.01	1-2-0 6.15
Hobro	0-0-3 2.73	1-1-1 3.32	1-0-2 2.30	0-3-0 3.31	1-0-2 1.70	—	0-0-3 1.76	0-0-3 3.53	1-0-2 2.59	0-1-2 2.27	0-0-3 2.53	0-1-2 3.59
Midtjylland	1-2-0 4.55	1-1-1 6.02	1-1-1 4.61	2-1-0 5.56	0-1-2 4.21	3-0-0 6.69	—	1-0-2 6.01	2-1-0 5.49	3-0-0 4.82	2-0-1 4.73	1-1-1 5.76
Nordsjaelland	2-0-1 3.21	1-1-1 4.15	0-0-3 3.39	0-1-2 4.46	1-1-1 2.15	3-0-0 4.82	2-0-1 2.38	—	0-0-3 4.04	0-1-2 3.21	0-0-3 3.99	2-1-0 3.93
Odense	2-0-1 3.24	0-2-1 4.64	1-0-2 3.39	2-0-1 4.45	1-0-2 2.98	2-0-1 5.79	0-1-2 2.87	3-0-0 4.29	—	0-1-2 4.05	0-0-3 3.60	3-0-0 4.65
Randers	1-1-1 3.67	2-0-1 4.69	0-1-2 4.33	2-0-1 5.04	0-1-2 3.15	2-1-0 6.13	0-0-3 3.52	2-1-0 5.14	2-1-0 4.29	—	1-2-0 4.30	1-0-2 5.12
Sonderjyske	1-0-2 3.70	1-2-0 4.49	2-0-1 3.81	3-0-0 4.64	0-0-3 3.33	3-0-0 5.84	1-0-2 3.61	3-0-0 4.35	3-0-0 4.74	0-2-1 4.04	—	2-1-0 5.17
Viborg	1-0-2 3.05	2-1-0 4.37	1-0-2 3.41	2-0-1 4.22	0-2-1 2.25	2-1-0 4.76	1-1-1 2.62	0-1-2 4.40	0-0-3 3.69	2-0-1 3.23	0-1-2 3.17	—

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	0.77	+11.7
Allowed	0.88	-11.2
Differential	0.95	+6.5

Scoreline Distribution

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

View:

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	7.07%	8.33%	8.84%	2.27%	1.01%	0.76%	28.28%
1	8.33%	8.59%	8.59%	2.53%	1.52%	1.26%	30.81%
2	8.84%	8.59%	4.04%	2.27%	1.26%	0.51%	25.51%
3	2.27%	2.53%	2.27%	1.01%	—	0.25%	8.33%
4	1.01%	1.52%	1.26%	—	0.51%	—	4.29%
5+	0.76%	1.26%	0.51%	0.25%	—	—	2.78%
Total	28.28%	30.81%	25.51%	8.33%	4.29%	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.39	1.39	+0.00
SD	1.27	1.27	1.86
CV	0.92	0.92	—
Max	6	6	+6
Min	0	0	-6

Games Played: 198

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.70	1.33	+0.36
SD	1.59	1.36	2.26
CV	0.94	1.02	—
Max	6	6	+6
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	12.12%	3.03%	9.09%	—	—	—	24.24%
1	—	9.09%	15.15%	3.03%	3.03%	—	30.30%
2	3.03%	9.09%	15.15%	3.03%	—	—	30.30%
3	6.06%	—	3.03%	3.03%	—	—	12.12%
4	—	—	—	—	—	—	—
5+	—	3.03%	—	—	—	—	3.03%
Total	21.21%	24.24%	42.42%	9.09%	3.03%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.42	1.48	-0.06
SD	1.17	1.03	1.52
CV	0.82	0.70	—
Max	5	4	+4
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	3.03%	12.12%	3.03%	—	—	27.27%
1	15.15%	6.06%	9.09%	3.03%	3.03%	—	36.36%
2	15.15%	9.09%	—	—	—	—	24.24%
3	—	—	3.03%	3.03%	—	—	6.06%
4	3.03%	—	—	—	—	—	3.03%
5+	—	—	3.03%	—	—	—	3.03%
Total	42.42%	18.18%	27.27%	9.09%	3.03%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.30	1.12	+0.18
SD	1.21	1.17	1.72
CV	0.93	1.04	—
Max	5	4	+4
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	3.03%	12.12%	—	3.03%	—	27.27%
1	6.06%	9.09%	15.15%	3.03%	3.03%	6.06%	42.42%
2	—	12.12%	6.06%	3.03%	3.03%	—	24.24%
3	—	—	—	—	—	—	—
4	—	—	3.03%	—	3.03%	—	6.06%
5+	—	—	—	—	—	—	—
Total	15.15%	24.24%	36.36%	6.06%	12.12%	6.06%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.15	1.94	-0.79
SD	1.03	1.41	1.56
CV	0.90	0.73	—
Max	4	5	+2
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	12.12%	6.06%	3.03%	—	—	—	21.21%
1	15.15%	9.09%	—	—	—	—	24.24%
2	9.09%	12.12%	3.03%	—	3.03%	—	27.27%
3	3.03%	6.06%	—	—	—	—	9.09%
4	3.03%	6.06%	3.03%	—	—	—	12.12%
5+	—	—	3.03%	3.03%	—	—	6.06%
Total	42.42%	39.39%	12.12%	3.03%	3.03%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.88	0.85	+1.03
SD	1.58	0.97	1.49
CV	0.84	1.15	—
Max	6	4	+4
Min	0	0	-2

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	15.15%	18.18%	12.12%	—	6.06%	54.55%
1	3.03%	6.06%	9.09%	6.06%	3.03%	—	27.27%
2	3.03%	—	6.06%	—	—	—	9.09%
3	—	3.03%	—	—	—	—	3.03%
4	—	—	3.03%	—	3.03%	—	6.06%
5+	—	—	—	—	—	—	—
Total	9.09%	24.24%	36.36%	18.18%	6.06%	6.06%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.79	2.12	-1.33
SD	1.14	1.43	1.87
CV	1.45	0.67	—
Max	4	6	+2
Min	0	0	-6

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.73	1.00	+0.73
SD	1.21	1.20	1.55
CV	0.70	1.20	—
Max	5	5	+4
Min	0	0	-2

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	9.09%	12.12%	6.06%	—	—	30.30%
1	12.12%	6.06%	12.12%	6.06%	3.03%	3.03%	42.42%
2	6.06%	9.09%	3.03%	—	—	—	18.18%
3	3.03%	3.03%	—	3.03%	—	—	9.09%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	24.24%	27.27%	27.27%	15.15%	3.03%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.06	1.55	-0.48
SD	0.93	1.28	1.72
CV	0.88	0.83	—
Max	3	5	+3
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	15.15%	3.03%	—	3.03%	—	21.21%
1	12.12%	6.06%	6.06%	3.03%	3.03%	3.03%	33.33%
2	9.09%	6.06%	6.06%	3.03%	3.03%	3.03%	30.30%
3	3.03%	3.03%	3.03%	—	—	—	9.09%
4	—	—	—	—	—	—	—
5+	—	6.06%	—	—	—	—	6.06%
Total	24.24%	36.36%	18.18%	6.06%	9.09%	6.06%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.52	1.58	-0.06
SD	1.28	1.48	2.05
CV	0.84	0.94	—
Max	5	5	+4
Min	0	0	-4

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.36	1.30	+0.06
SD	1.14	1.16	1.66
CV	0.84	0.89	—
Max	4	4	+3
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	9.09%	—	—	—	3.03%	18.18%
1	3.03%	6.06%	9.09%	3.03%	—	—	21.21%
2	12.12%	21.21%	3.03%	3.03%	—	—	39.39%
3	3.03%	9.09%	3.03%	—	—	—	15.15%
4	6.06%	—	—	—	—	—	6.06%
5+	—	—	—	—	—	—	—
Total	30.30%	45.45%	15.15%	6.06%	—	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.70	1.09	+0.61
SD	1.13	1.10	1.78
CV	0.67	1.01	—
Max	4	5	+4
Min	0	0	-5

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	15.15%	18.18%	—	3.03%	—	45.45%
1	15.15%	12.12%	3.03%	—	—	3.03%	33.33%
2	—	6.06%	—	3.03%	—	—	9.09%
3	—	3.03%	—	—	—	—	3.03%
4	—	—	6.06%	—	—	—	6.06%
5+	3.03%	—	—	—	—	—	3.03%
Total	27.27%	36.36%	27.27%	3.03%	3.03%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.03	1.27	-0.24
SD	1.42	1.18	1.90
CV	1.38	0.93	—
Max	6	5	+6
Min	0	0	-4

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	1740	71	60.45	+10.55	96.0%	47	50	56	60	64	70	82
Midtjylland	1700	59	58.50	+0.50	55.0%	41	43	54	58	63	69	81
Sonderjyske	1656	62	47.40	+14.60	97.0%	28	34	43	47	53	59	67
Brondby	1621	54	51.45	+2.55	67.0%	31	39	47	52	56	60	65
Aalborg	1621	50	52.83	-2.83	36.0%	34	39	48	54	58	64	69
Randers	1595	47	48.32	-1.32	48.0%	32	34	44	48	54	61	76
Odense	1572	46	43.09	+2.91	64.0%	22	31	37	43	49	55	61
Aarhus GF	1547	37	40.50	-3.50	33.0%	16	28	36	42	45	52	60
Viborg	1531	40	38.87	+1.13	63.0%	23	28	33	38	44	52	60
Nordsjaelland	1511	38	39.85	-1.85	45.0%	23	27	34	40	45	54	57
Esbjerg	1469	30	39.50	-9.50	13.0%	19	27	34	38	46	52	56
Hobro	1390	18	30.74	-12.74	4.0%	15	20	27	30	34	43	45

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

+13.13%

Clear Edge

45.96%21.21%32.83%

Elo Value

Home Edge: 45.89 Elo pts.

166 Elo

0.006 goals per Elo point

0500

Scoring Tilt

Expected

+0.32 goals

Neutral

-2+0.28+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

3.5

Top-Heavy

134610

Champion Preseason Odds

44%

FC Copenhagen, 1st of 12

LongshotFavorite

Title Margin

Expected

0.27/gm

Runaway

00.160.5/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 5.92 * Some Luck: 5.92 to 8.89 * Lucky: 8.89 to 11.85 * Wild Swing: 11.85 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 1.48 * Close: 1.48 to 2.22 * Off: 2.22 to 2.96 * Way Off: 2.96 and up.
Biggest Overachiever: The team that finished highest inside its own range of simulated outcomes. The gold line is where the top team in a league of 12 typically lands.
Biggest Underachiever: The team that finished lowest inside its own range of simulated outcomes. The gold line is where the bottom team in a league of 12 typically lands.
Season Outliers: Number of teams that finished above the 95th or below the 5th percentile of their own simulated range. Even a well-calibrated model expects about 10% of teams in the extremes.
Minimal Outliers: under 12 * As Expected: 12 to 19.2 * Several Outliers: 19.2 to 26.4 * Many Outliers: 26.4 and up.
Unexpected Relegations: Number of teams that were actually relegated but were not in the model's projected bottom field of the same size. The gold line is how many the model expected to miss on average.
As Expected: under 0.5 * A Surprise: 0.5 to 0.8 * Several Surprises: 0.8 to 1.1 * Many Surprises: 1.1 and up.

Luck Spread

Expected

7.18 points

Some Luck

07.4119

Average Finish Error

Expected

1.17

Pinpoint

01.854

Biggest Overachiever

Expected 95.83%

97.00%

Sonderjyske

50100

Biggest Underachiever

Expected 4.17%

4.00%

Hobro

050

Season Outliers

Expected

3 of 12

Minimal Outliers

01.26

Unexpected Relegations

Expected

0 of 1

As Expected

00.51

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

0.17

Lopsided

00.120.5

Noll-Scully

Elo SD: 98.07

1.89

Strong Separation

0.651.351.61.92.5

Interquartile Edge

65%

Clear Edge

50%59%69%100%

Best vs. Worst

Baseline

88%

Strong Edge

50%88%100%

Close Games

Expected

60%

Frequent

0%58%100%

Blowouts

Expected

15%

Rare

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

0.59

Predictable

00.612

Matchup Imbalance

0.28

Slight Separation

00.280.370.5

Strangeness

Expected

1.05

As Expected

01.002

Repeatability

0.63

Strong Carryover

00.30.50.631

Upset Rate

Expected

26%

As Expected

0%28%50%

Clear Favorite Upset Rate

Expected

17%

Solid Favorites

0%23%50%

Calibration

How these are measured

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

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

Probability calibration

0.24

Well Calibrated

0.010.050.10.51

Calibration slope

Ideal

1.14

Calibrated

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.111

Well Within Noise

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
FC Copenhagen	44.00%	28.00%	12.00%	7.00%	4.00%	3.00%	2.00%	—	—	—	—	—
Sonderjyske	4.00%	4.00%	12.00%	10.00%	13.00%	12.00%	18.00%	12.00%	4.00%	6.00%	4.00%	1.00%
Midtjylland	26.00%	38.00%	13.00%	7.00%	7.00%	3.00%	3.00%	1.00%	2.00%	—	—	—
Brondby	4.00%	11.00%	21.00%	14.00%	19.00%	9.00%	6.00%	10.00%	3.00%	2.00%	1.00%	—
Aalborg	11.00%	10.00%	25.00%	17.00%	13.00%	7.00%	3.00%	5.00%	5.00%	2.00%	2.00%	—
Randers	8.00%	5.00%	6.00%	18.00%	11.00%	15.00%	11.00%	13.00%	4.00%	3.00%	6.00%	—
Odense	1.00%	1.00%	3.00%	8.00%	14.00%	11.00%	12.00%	16.00%	11.00%	12.00%	6.00%	5.00%
Viborg	1.00%	1.00%	—	7.00%	2.00%	9.00%	9.00%	10.00%	15.00%	20.00%	13.00%	13.00%
Nordsjaelland	—	—	2.00%	8.00%	4.00%	8.00%	9.00%	11.00%	16.00%	16.00%	19.00%	7.00%
Aarhus GF	1.00%	1.00%	2.00%	1.00%	7.00%	15.00%	13.00%	13.00%	19.00%	11.00%	6.00%	11.00%
Esbjerg	—	1.00%	4.00%	3.00%	6.00%	8.00%	11.00%	6.00%	15.00%	14.00%	23.00%	9.00%
Hobro	—	—	—	—	—	—	3.00%	3.00%	6.00%	14.00%	20.00%	54.00%

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%	—
Brondby	100%	—
FC Copenhagen	100%	—
Midtjylland	100%	—
Randers	100%	—
Sonderjyske	99.00%	1.00%
Odense	95.00%	5.00%
Nordsjaelland	93.00%	7.00%
Esbjerg	91.00%	9.00%
Aarhus GF	89.00%	11.00%
Viborg	87.00%	13.00%
Hobro	46.00%	54.00%

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
2015-07-17	Sonderjyske	L 0-2	53.7	1558	1541	47.38%	22.22%	30.40%	+0.37	-16.4	0
2015-07-17	@ Nordsjaelland	W 2-0	53.7	1541	1558	30.40%	22.22%	47.38%	-0.37	+16.4	3
2015-07-18	Viborg	W 2-0	48.0	1644	1543	57.82%	20.99%	21.19%	+0.88	+8.4	3
2015-07-18	@ Midtjylland	L 0-2	48.0	1543	1644	21.19%	20.99%	57.82%	-0.88	-8.4	0
2015-07-19	Brondby	W 2-1	62.8	1538	1609	35.31%	22.46%	42.23%	-0.15	+7.5	3
2015-07-19	@ Aarhus GF	L 1-2	62.8	1609	1538	42.23%	22.46%	35.31%	+0.15	-7.5	0
2015-07-19	Hobro	W 3-0	46.1	1559	1539	47.88%	22.19%	29.93%	+0.40	+16.5	3
2015-07-19	@ Odense	L 0-3	46.1	1539	1559	29.93%	22.19%	47.88%	-0.40	-16.5	0
2015-07-20	Esbjerg	D 1-1	70.1	1601	1578	48.23%	22.16%	29.61%	+0.41	-0.8	1
2015-07-20	@ Aalborg	D 1-1	70.1	1578	1601	29.61%	22.16%	48.23%	-0.41	+0.7	1
2015-07-24	Aalborg	L 0-1	54.3	1523	1600	34.37%	22.43%	43.20%	-0.19	-6.7	0
2015-07-24	@ Hobro	W 1-0	54.3	1600	1523	43.20%	22.43%	34.37%	+0.19	+6.7	4
2015-07-24	Midtjylland	L 1-2	61.2	1558	1653	32.04%	22.33%	45.63%	-0.29	-6.0	3
2015-07-24	@ Sonderjyske	W 2-1	61.2	1653	1558	45.63%	22.33%	32.04%	+0.29	+6.0	6
2015-07-26	FC Copenhagen	L 1-2	62.9	1579	1635	37.25%	22.49%	40.26%	-0.06	-6.8	1
2015-07-26	@ Esbjerg	W 2-1	62.9	1635	1579	40.26%	22.49%	37.25%	+0.06	+6.8	3
2015-07-26	Nordsjaelland	W 3-0	45.9	1606	1541	53.59%	21.63%	24.78%	+0.67	+14.0	3
2015-07-26	@ Randers	L 0-3	45.9	1541	1606	24.78%	21.63%	53.59%	-0.67	-14.0	0
2015-07-26	Odense	L 1-2	65.4	1601	1575	48.67%	22.13%	29.21%	+0.43	-8.4	0
2015-07-26	@ Brondby	W 2-1	65.4	1575	1601	29.21%	22.13%	48.67%	-0.43	+8.4	6
2015-07-27	Aarhus GF	D 0-0	62.7	1535	1546	43.66%	22.41%	33.93%	+0.21	-0.4	1
2015-07-27	@ Viborg	D 0-0	62.7	1546	1535	33.93%	22.41%	43.66%	-0.21	+0.4	4
2015-07-31	Esbjerg	W 2-1	60.2	1534	1572	39.94%	22.50%	37.57%	+0.05	+6.8	4
2015-07-31	@ Viborg	L 1-2	60.2	1572	1534	37.57%	22.50%	39.94%	-0.05	-6.8	1
2015-07-31	Odense	W 1-0	53.8	1659	1584	54.78%	21.47%	23.75%	+0.73	+4.9	9
2015-07-31	@ Midtjylland	L 0-1	53.8	1584	1659	23.75%	21.47%	54.78%	-0.73	-4.9	6
2015-08-02	FC Copenhagen	L 1-3	57.5	1552	1642	32.67%	22.36%	44.97%	-0.27	-10.5	3
2015-08-02	@ Sonderjyske	W 3-1	57.5	1642	1552	44.97%	22.36%	32.67%	+0.27	+10.5	6
2015-08-02	Hobro	L 0-2	56.1	1593	1516	55.05%	21.43%	23.52%	+0.74	-18.7	0
2015-08-02	@ Brondby	W 2-0	56.1	1516	1593	23.52%	21.43%	55.05%	-0.74	+18.7	3
2015-08-02	Randers	W 3-2	68.4	1546	1620	34.85%	22.44%	42.71%	-0.17	+7.1	7
2015-08-02	@ Aarhus GF	L 2-3	68.4	1620	1546	42.71%	22.44%	34.85%	+0.17	-7.2	3
2015-08-03	Aalborg	W 2-1	62.8	1527	1607	34.09%	22.42%	43.50%	-0.20	+7.6	3
2015-08-03	@ Nordsjaelland	L 1-2	62.8	1607	1527	43.50%	22.42%	34.09%	+0.20	-7.6	4
2015-08-07	Aarhus GF	D 2-2	74.4	1579	1554	48.60%	22.13%	29.27%	+0.43	-0.6	7
2015-08-07	@ Odense	D 2-2	74.4	1554	1579	29.27%	22.13%	48.60%	-0.43	+0.6	8
2015-08-08	Viborg	D 1-1	67.0	1535	1541	44.29%	22.39%	33.32%	+0.24	-0.4	4
2015-08-08	@ Hobro	D 1-1	67.0	1541	1535	33.32%	22.39%	44.29%	-0.24	+0.4	5
2015-08-09	Brondby	D 3-3	79.8	1613	1574	50.32%	21.99%	27.69%	+0.51	-0.6	4
2015-08-09	@ Randers	D 3-3	79.8	1574	1613	27.69%	21.99%	50.32%	-0.51	+0.6	1
2015-08-09	Nordsjaelland	D 1-1	70.8	1652	1535	59.63%	20.65%	19.72%	+0.98	-1.7	7
2015-08-09	@ FC Copenhagen	D 1-1	70.8	1535	1652	19.72%	20.65%	59.63%	-0.98	+1.7	4
2015-08-09	Sonderjyske	L 0-4	51.4	1565	1541	48.40%	22.15%	29.45%	+0.42	-31.7	1
2015-08-09	@ Esbjerg	W 4-0	51.4	1541	1565	29.45%	22.15%	48.40%	-0.42	+31.7	6
2015-08-10	Midtjylland	L 0-2	54.4	1599	1664	36.08%	22.47%	41.44%	-0.11	-13.2	4
2015-08-10	@ Aalborg	W 2-0	54.4	1664	1599	41.44%	22.47%	36.08%	+0.11	+13.2	12
2015-08-14	FC Copenhagen	D 0-0	68.3	1677	1651	48.68%	22.13%	29.19%	+0.43	-0.9	13
2015-08-14	@ Midtjylland	D 0-0	68.3	1651	1677	29.19%	22.13%	48.68%	-0.43	+0.9	8
2015-08-15	Aalborg	L 2-3	67.1	1554	1586	40.79%	22.49%	36.72%	+0.09	-6.9	8
2015-08-15	@ Aarhus GF	W 3-2	67.1	1586	1554	36.72%	22.49%	40.79%	-0.09	+6.9	7
2015-08-16	Brondby	L 0-4	49.5	1542	1575	40.56%	22.49%	36.95%	+0.08	-27.4	5
2015-08-16	@ Viborg	W 4-0	49.5	1575	1542	36.95%	22.49%	40.56%	-0.08	+27.4	4
2015-08-16	Esbjerg	L 1-2	61.3	1536	1533	45.61%	22.33%	32.06%	+0.29	-8.0	4
2015-08-16	@ Nordsjaelland	W 2-1	61.3	1533	1536	32.06%	22.33%	45.61%	-0.29	+8.0	4
2015-08-16	Randers	L 2-3	68.4	1578	1612	40.44%	22.49%	37.07%	+0.07	-6.8	7
2015-08-16	@ Odense	W 3-2	68.4	1612	1578	37.07%	22.49%	40.44%	-0.07	+6.8	7
2015-08-17	Hobro	W 3-0	45.6	1573	1534	50.34%	21.98%	27.67%	+0.51	+15.4	9
2015-08-17	@ Sonderjyske	L 0-3	45.6	1534	1573	27.67%	21.98%	50.34%	-0.51	-15.4	4
2015-08-21	Nordsjaelland	L 1-3	56.5	1519	1529	43.85%	22.41%	33.75%	+0.22	-13.3	4
2015-08-21	@ Hobro	W 3-1	56.5	1529	1519	33.75%	22.41%	43.85%	-0.22	+13.3	7
2015-08-23	Aarhus GF	D 2-2	76.5	1652	1547	58.18%	20.93%	20.89%	+0.90	-1.2	9
2015-08-23	@ FC Copenhagen	D 2-2	76.5	1547	1652	20.89%	20.93%	58.18%	-0.90	+1.2	9
2015-08-23	Midtjylland	D 1-1	71.1	1541	1676	27.22%	21.94%	50.84%	-0.53	+1.0	5
2015-08-23	@ Esbjerg	D 1-1	71.1	1676	1541	50.84%	21.94%	27.22%	+0.53	-1.0	14
2015-08-23	Sonderjyske	W 1-0	55.0	1602	1588	47.08%	22.24%	30.68%	+0.36	+6.1	7
2015-08-23	@ Brondby	L 0-1	55.0	1588	1602	30.68%	22.24%	47.08%	-0.36	-6.1	9
2015-08-23	Viborg	L 0-1	61.4	1619	1514	58.25%	20.91%	20.84%	+0.91	-10.4	7
2015-08-23	@ Randers	W 1-0	61.4	1514	1619	20.84%	20.91%	58.25%	-0.91	+10.4	8
2015-08-24	Odense	W 5-1	51.4	1593	1572	48.03%	22.18%	29.79%	+0.40	+17.9	10
2015-08-24	@ Aalborg	L 1-5	51.4	1572	1593	29.79%	22.18%	48.03%	-0.40	-17.9	7
2015-08-28	Esbjerg	D 0-0	63.1	1548	1542	46.02%	22.30%	31.68%	+0.31	-0.6	10
2015-08-28	@ Aarhus GF	D 0-0	63.1	1542	1548	31.68%	22.30%	46.02%	-0.31	+0.6	6
2015-08-29	Viborg	W 2-1	56.3	1582	1525	52.70%	21.73%	25.57%	+0.62	+5.0	12
2015-08-29	@ Sonderjyske	L 1-2	56.3	1525	1582	25.57%	21.73%	52.70%	-0.62	-4.9	8
2015-08-30	Brondby	L 0-2	51.9	1542	1608	35.83%	22.47%	41.70%	-0.12	-13.1	7
2015-08-30	@ Nordsjaelland	W 2-0	51.9	1608	1542	41.70%	22.47%	35.83%	+0.12	+13.1	10
2015-08-30	FC Copenhagen	W 1-0	59.9	1554	1651	31.80%	22.31%	45.89%	-0.31	+8.5	10
2015-08-30	@ Odense	L 0-1	59.9	1651	1554	45.89%	22.31%	31.80%	+0.31	-8.5	9
2015-08-30	Hobro	W 2-0	45.7	1675	1505	64.91%	19.42%	15.67%	+1.30	+6.3	17
2015-08-30	@ Midtjylland	L 0-2	45.7	1505	1675	15.67%	19.42%	64.91%	-1.30	-6.2	4
2015-08-30	Randers	L 0-2	56.4	1610	1609	45.42%	22.34%	32.24%	+0.29	-15.9	10
2015-08-30	@ Aalborg	W 2-0	56.4	1609	1610	32.24%	22.34%	45.42%	-0.29	+15.8	10
2015-09-11	Aarhus GF	L 0-3	46.9	1499	1548	38.35%	22.50%	39.15%	-0.02	-20.1	4
2015-09-11	@ Hobro	W 3-0	46.9	1548	1499	39.15%	22.50%	38.35%	+0.02	+20.1	13
2015-09-12	Nordsjaelland	L 0-1	54.7	1520	1529	43.95%	22.40%	33.65%	+0.22	-8.2	8
2015-09-12	@ Viborg	W 1-0	54.7	1529	1520	33.65%	22.40%	43.95%	-0.22	+8.2	10
2015-09-13	Aalborg	W 4-2	60.4	1642	1595	51.42%	21.88%	26.70%	+0.56	+8.0	12
2015-09-13	@ FC Copenhagen	L 2-4	60.4	1595	1642	26.70%	21.88%	51.42%	-0.56	-8.0	10
2015-09-13	Midtjylland	D 0-0	67.9	1622	1681	36.78%	22.49%	40.73%	-0.08	+0.2	11
2015-09-13	@ Brondby	D 0-0	67.9	1681	1622	40.73%	22.49%	36.78%	+0.08	-0.2	18
2015-09-13	Sonderjyske	W 1-0	54.6	1625	1587	50.16%	22.00%	27.84%	+0.50	+5.7	13
2015-09-13	@ Randers	L 0-1	54.6	1587	1625	27.84%	22.00%	50.16%	-0.50	-5.7	12
2015-09-14	Odense	W 4-2	59.7	1543	1562	42.55%	22.45%	35.00%	+0.16	+10.0	9
2015-09-14	@ Esbjerg	L 2-4	59.7	1562	1543	35.00%	22.45%	42.55%	-0.16	-10.0	10
2015-09-16	Randers	W 3-0	50.4	1650	1630	47.84%	22.19%	29.97%	+0.39	+16.5	15
2015-09-16	@ FC Copenhagen	L 0-3	50.4	1630	1650	29.97%	22.19%	47.84%	-0.39	-16.5	13
2015-09-18	Sonderjyske	L 1-2	63.1	1568	1582	43.31%	22.43%	34.26%	+0.19	-7.6	13
2015-09-18	@ Aarhus GF	W 2-1	63.1	1582	1568	34.26%	22.43%	43.31%	-0.19	+7.6	15
2015-09-19	Viborg	W 2-0	46.4	1552	1511	50.57%	21.96%	27.46%	+0.52	+10.5	13
2015-09-19	@ Odense	L 0-2	46.4	1511	1552	27.46%	21.96%	50.57%	-0.52	-10.5	8
2015-09-20	Brondby	W 4-1	56.4	1587	1622	40.30%	22.49%	37.21%	+0.07	+16.5	13
2015-09-20	@ Aalborg	L 1-4	56.4	1622	1587	37.21%	22.49%	40.30%	-0.07	-16.5	11
2015-09-20	Hobro	W 1-0	48.0	1666	1479	66.58%	18.94%	14.48%	+1.40	+3.1	18
2015-09-20	@ FC Copenhagen	L 0-1	48.0	1479	1666	14.48%	18.94%	66.58%	-1.40	-3.1	4
2015-09-20	Nordsjaelland	L 0-1	64.5	1681	1537	62.40%	20.05%	17.55%	+1.14	-11.1	18
2015-09-20	@ Midtjylland	W 1-0	64.5	1537	1681	17.55%	20.05%	62.40%	-1.14	+11.1	13
2015-09-21	Randers	L 0-2	52.5	1553	1614	36.62%	22.48%	40.90%	-0.09	-13.3	9
2015-09-21	@ Esbjerg	W 2-0	52.5	1614	1553	40.90%	22.48%	36.62%	+0.09	+13.3	16
2015-09-25	Aalborg	W 1-0	57.4	1501	1603	31.11%	22.27%	46.62%	-0.34	+8.6	11
2015-09-25	@ Viborg	L 0-1	57.4	1603	1501	46.62%	22.27%	31.11%	+0.34	-8.6	13
2015-09-25	Odense	W 4-0	47.0	1589	1563	48.74%	22.12%	29.14%	+0.43	+21.0	18
2015-09-25	@ Sonderjyske	L 0-4	47.0	1563	1589	29.14%	22.12%	48.74%	-0.43	-21.0	13
2015-09-27	Aarhus GF	W 2-0	50.1	1548	1560	43.52%	22.42%	34.07%	+0.20	+12.6	16
2015-09-27	@ Nordsjaelland	L 0-2	50.1	1560	1548	34.07%	22.42%	43.52%	-0.20	-12.6	13
2015-09-27	FC Copenhagen	W 1-0	59.9	1605	1670	36.13%	22.48%	41.39%	-0.11	+7.8	14
2015-09-27	@ Brondby	L 0-1	59.9	1670	1605	41.39%	22.48%	36.13%	+0.11	-7.8	18
2015-09-27	Midtjylland	L 0-2	55.8	1627	1670	39.19%	22.50%	38.31%	+0.02	-14.1	16
2015-09-27	@ Randers	W 2-0	55.8	1670	1627	38.31%	22.50%	39.19%	-0.02	+14.1	21
2015-09-28	Esbjerg	D 2-2	70.3	1476	1540	36.23%	22.48%	41.29%	-0.11	+0.1	5
2015-09-28	@ Hobro	D 2-2	70.3	1540	1476	41.29%	22.48%	36.23%	+0.11	-0.1	10
2015-10-02	Odense	L 1-5	55.0	1561	1542	47.75%	22.20%	30.06%	+0.39	-26.1	16
2015-10-02	@ Nordsjaelland	W 5-1	55.0	1542	1561	30.06%	22.20%	47.75%	-0.39	+26.1	16
2015-10-03	Hobro	W 2-1	53.1	1613	1476	61.67%	20.22%	18.11%	+1.10	+3.6	19
2015-10-03	@ Randers	L 1-2	53.1	1476	1613	18.11%	20.22%	61.67%	-1.10	-3.6	5
2015-10-04	Aarhus GF	W 2-0	47.8	1684	1548	61.61%	20.23%	18.15%	+1.10	+7.2	24
2015-10-04	@ Midtjylland	L 0-2	47.8	1548	1684	18.15%	20.23%	61.61%	-1.10	-7.2	13
2015-10-04	Esbjerg	D 1-1	69.6	1613	1539	54.61%	21.49%	23.90%	+0.72	-1.3	15
2015-10-04	@ Brondby	D 1-1	69.6	1539	1613	23.90%	21.49%	54.61%	-0.72	+1.3	11
2015-10-04	Sonderjyske	W 5-0	50.6	1595	1610	43.05%	22.43%	34.52%	+0.18	+29.8	16
2015-10-04	@ Aalborg	L 0-5	50.6	1610	1595	34.52%	22.43%	43.05%	-0.18	-29.8	18
2015-10-04	Viborg	W 1-0	49.7	1662	1510	63.21%	19.86%	16.93%	+1.19	+3.6	21
2015-10-04	@ FC Copenhagen	L 0-1	49.7	1510	1662	16.93%	19.86%	63.21%	-1.19	-3.6	11
2015-10-16	Randers	W 2-1	60.1	1691	1617	54.75%	21.47%	23.78%	+0.72	+4.6	27
2015-10-16	@ Midtjylland	L 1-2	60.1	1617	1691	23.78%	21.47%	54.75%	-0.72	-4.7	19
2015-10-17	Sonderjyske	L 1-2	63.2	1568	1580	43.46%	22.42%	34.12%	+0.20	-7.6	16
2015-10-17	@ Odense	W 2-1	63.2	1580	1568	34.12%	22.42%	43.46%	-0.20	+7.6	21
2015-10-18	Brondby	L 0-2	49.3	1506	1612	30.67%	22.24%	47.09%	-0.36	-11.6	11
2015-10-18	@ Viborg	W 2-0	49.3	1612	1506	47.09%	22.24%	30.67%	+0.36	+11.6	18
2015-10-18	Hobro	W 3-1	49.5	1665	1472	67.07%	18.80%	14.13%	+1.43	+4.9	24
2015-10-18	@ FC Copenhagen	L 1-3	49.5	1472	1665	14.13%	18.80%	67.07%	-1.43	-4.9	5
2015-10-18	Nordsjaelland	W 3-0	45.9	1540	1534	46.00%	22.31%	31.69%	+0.31	+17.3	16
2015-10-18	@ Aarhus GF	L 0-3	45.9	1534	1540	31.69%	22.31%	46.00%	-0.31	-17.3	16
2015-10-19	Aalborg	L 1-2	60.6	1541	1624	33.52%	22.40%	44.08%	-0.23	-6.2	11
2015-10-19	@ Esbjerg	W 2-1	60.6	1624	1541	44.08%	22.40%	33.52%	+0.23	+6.2	19
2015-10-23	Aarhus GF	W 3-1	56.0	1468	1558	32.68%	22.36%	44.96%	-0.27	+13.6	8
2015-10-23	@ Hobro	L 1-3	56.0	1558	1468	44.96%	22.36%	32.68%	+0.27	-13.6	16
2015-10-24	Esbjerg	W 4-2	57.9	1494	1535	39.57%	22.50%	37.93%	+0.03	+10.6	14
2015-10-24	@ Viborg	L 2-4	57.9	1535	1494	37.93%	22.50%	39.57%	-0.03	-10.6	11
2015-10-25	Aalborg	W 3-0	53.0	1517	1631	29.73%	22.17%	48.10%	-0.41	+24.1	19
2015-10-25	@ Nordsjaelland	L 0-3	53.0	1631	1517	48.10%	22.17%	29.73%	+0.41	-24.1	19
2015-10-25	FC Copenhagen	L 1-2	62.7	1588	1670	33.72%	22.40%	43.88%	-0.22	-6.2	21
2015-10-25	@ Sonderjyske	W 2-1	62.7	1670	1588	43.88%	22.40%	33.72%	+0.22	+6.2	27
2015-10-25	Midtjylland	W 2-1	66.2	1623	1696	34.99%	22.45%	42.57%	-0.16	+7.5	21
2015-10-25	@ Brondby	L 1-2	66.2	1696	1623	42.57%	22.45%	34.99%	+0.16	-7.5	27
2015-10-26	Odense	D 1-1	70.1	1612	1560	51.99%	21.81%	26.19%	+0.59	-1.0	20
2015-10-26	@ Randers	D 1-1	70.1	1560	1612	26.19%	21.81%	51.99%	-0.59	+1.0	17
2015-10-30	Nordsjaelland	W 2-1	57.9	1524	1541	42.78%	22.44%	34.77%	+0.17	+6.4	14
2015-10-30	@ Esbjerg	L 1-2	57.9	1541	1524	34.77%	22.44%	42.78%	-0.17	-6.4	19
2015-10-31	Viborg	L 2-4	70.5	1688	1505	66.21%	19.05%	14.74%	+1.38	-17.0	27
2015-10-31	@ Midtjylland	W 4-2	70.5	1505	1688	14.74%	19.05%	66.21%	-1.38	+17.1	17
2015-11-01	Brondby	L 2-5	58.2	1561	1631	35.42%	22.46%	42.12%	-0.14	-13.8	17
2015-11-01	@ Odense	W 5-2	58.2	1631	1561	42.12%	22.46%	35.42%	+0.14	+13.8	24
2015-11-01	Hobro	W 6-0	42.9	1606	1481	60.44%	20.49%	19.07%	+1.03	+21.1	22
2015-11-01	@ Aalborg	L 0-6	42.9	1481	1606	19.07%	20.49%	60.44%	-1.03	-21.1	8
2015-11-01	Randers	W 4-0	48.3	1676	1611	53.65%	21.62%	24.74%	+0.67	+18.3	30
2015-11-01	@ FC Copenhagen	L 0-4	48.3	1611	1676	24.74%	21.62%	53.65%	-0.67	-18.3	20
2015-11-02	Sonderjyske	D 0-0	64.1	1544	1582	39.91%	22.50%	37.59%	+0.05	-0.1	17
2015-11-02	@ Aarhus GF	D 0-0	64.1	1582	1544	37.59%	22.50%	39.91%	-0.05	+0.1	22
2015-11-06	Aalborg	L 1-2	63.3	1582	1628	38.79%	22.50%	38.71%	+0.00	-7.0	22
2015-11-06	@ Sonderjyske	W 2-1	63.3	1628	1582	38.71%	22.50%	38.79%	+0.00	+7.0	25
2015-11-06	Aarhus GF	W 4-1	51.2	1593	1544	51.60%	21.86%	26.54%	+0.57	+12.5	23
2015-11-06	@ Randers	L 1-4	51.2	1544	1593	26.54%	21.86%	51.60%	-0.57	-12.5	17
2015-11-07	Nordsjaelland	L 0-1	50.0	1460	1535	34.70%	22.44%	42.86%	-0.17	-6.8	8
2015-11-07	@ Hobro	W 1-0	50.0	1535	1460	42.86%	22.44%	34.70%	+0.17	+6.8	22
2015-11-08	Esbjerg	W 5-1	48.1	1671	1530	62.09%	20.12%	17.79%	+1.12	+11.2	30
2015-11-08	@ Midtjylland	L 1-5	48.1	1530	1671	17.79%	20.12%	62.09%	-1.12	-11.2	14
2015-11-08	FC Copenhagen	D 0-0	68.3	1645	1695	38.13%	22.50%	39.37%	-0.03	+0.1	25
2015-11-08	@ Brondby	D 0-0	68.3	1695	1645	39.37%	22.50%	38.13%	+0.03	-0.0	31
2015-11-08	Odense	L 0-1	54.8	1522	1547	41.67%	22.47%	35.86%	+0.12	-7.8	17
2015-11-08	@ Viborg	W 1-0	54.8	1547	1522	35.86%	22.47%	41.67%	-0.12	+7.8	20
2015-11-20	Midtjylland	D 1-1	71.4	1555	1683	28.05%	22.02%	49.92%	-0.49	+0.9	21
2015-11-20	@ Odense	D 1-1	71.4	1683	1555	49.92%	22.02%	28.05%	+0.49	-0.9	31
2015-11-21	Sonderjyske	L 1-2	61.4	1542	1575	40.57%	22.49%	36.94%	+0.08	-7.2	22
2015-11-21	@ Nordsjaelland	W 2-1	61.4	1575	1542	36.94%	22.49%	40.57%	-0.08	+7.2	25
2015-11-22	Brondby	D 1-1	70.1	1531	1645	29.75%	22.17%	48.08%	-0.40	+0.7	18
2015-11-22	@ Aarhus GF	D 1-1	70.1	1645	1531	48.08%	22.17%	29.75%	+0.40	-0.7	26
2015-11-22	Hobro	D 4-4	74.6	1519	1453	53.68%	21.61%	24.70%	+0.67	-0.6	15
2015-11-22	@ Esbjerg	D 4-4	74.6	1453	1519	24.70%	21.61%	53.68%	-0.67	+0.6	9
2015-11-22	Viborg	D 0-0	67.3	1695	1514	65.93%	19.13%	14.94%	+1.36	-2.5	32
2015-11-22	@ FC Copenhagen	D 0-0	67.3	1514	1695	14.94%	19.13%	65.93%	-1.36	+2.5	18
2015-11-23	Randers	W 3-2	65.8	1635	1605	49.09%	22.09%	28.81%	+0.45	+5.2	28
2015-11-23	@ Aalborg	L 2-3	65.8	1605	1635	28.81%	22.09%	49.09%	-0.45	-5.2	23
2015-11-27	Aarhus GF	W 1-0	51.9	1517	1532	43.06%	22.43%	34.51%	+0.18	+6.8	21
2015-11-27	@ Viborg	L 0-1	51.9	1532	1517	34.51%	22.43%	43.06%	-0.18	-6.8	18
2015-11-28	Nordsjaelland	W 1-0	51.6	1600	1535	53.67%	21.62%	24.72%	+0.67	+5.1	26
2015-11-28	@ Randers	L 0-1	51.6	1535	1600	24.72%	21.62%	53.67%	-0.67	-5.1	22
2015-11-29	Aalborg	L 0-2	57.6	1644	1640	45.76%	22.32%	31.92%	+0.30	-16.0	26
2015-11-29	@ Brondby	W 2-0	57.6	1640	1644	31.92%	22.32%	45.76%	-0.30	+16.0	31
2015-11-29	Hobro	W 2-0	42.4	1582	1454	60.74%	20.42%	18.83%	+1.05	+7.5	28
2015-11-29	@ Sonderjyske	L 0-2	42.4	1454	1582	18.83%	20.42%	60.74%	-1.05	-7.5	9
2015-11-30	Esbjerg	W 2-1	56.0	1556	1518	50.19%	22.00%	27.81%	+0.50	+5.3	24
2015-11-30	@ Odense	L 1-2	56.0	1518	1556	27.81%	22.00%	50.19%	-0.50	-5.3	15
2015-12-04	Midtjylland	W 2-1	67.4	1525	1682	24.82%	21.63%	53.55%	-0.66	+9.1	21
2015-12-04	@ Aarhus GF	L 1-2	67.4	1682	1525	53.55%	21.63%	24.82%	+0.66	-9.1	31
2015-12-05	Randers	D 0-0	61.9	1447	1605	24.58%	21.59%	53.83%	-0.68	+1.3	10
2015-12-05	@ Hobro	D 0-0	61.9	1605	1447	53.83%	21.59%	24.58%	+0.68	-1.3	27
2015-12-06	Brondby	L 0-2	50.7	1529	1628	31.59%	22.30%	46.12%	-0.32	-11.9	22
2015-12-06	@ Nordsjaelland	W 2-0	50.7	1628	1529	46.12%	22.30%	31.59%	+0.32	+11.8	29
2015-12-06	Odense	W 4-1	51.0	1692	1561	61.02%	20.36%	18.62%	+1.06	+9.1	35
2015-12-06	@ FC Copenhagen	L 1-4	51.0	1561	1692	18.62%	20.36%	61.02%	-1.06	-9.1	24
2015-12-06	Sonderjyske	L 0-1	53.8	1513	1590	34.47%	22.43%	43.10%	-0.18	-6.8	15
2015-12-06	@ Esbjerg	W 1-0	53.8	1590	1513	43.10%	22.43%	34.47%	+0.18	+6.8	31
2015-12-07	Viborg	W 2-0	46.8	1656	1523	61.18%	20.33%	18.49%	+1.07	+7.4	34
2015-12-07	@ Aalborg	L 0-2	46.8	1523	1656	18.49%	20.33%	61.18%	-1.07	-7.4	21
2016-02-26	Aarhus GF	D 2-2	73.0	1552	1534	47.61%	22.21%	30.19%	+0.38	-0.5	25
2016-02-26	@ Odense	D 2-2	73.0	1534	1552	30.19%	22.21%	47.61%	-0.38	+0.5	22
2016-02-27	Sonderjyske	D 1-1	70.6	1604	1596	46.21%	22.29%	31.49%	+0.32	-0.6	28
2016-02-27	@ Randers	D 1-1	70.6	1596	1604	31.49%	22.29%	46.21%	-0.32	+0.6	32
2016-02-28	Esbjerg	W 2-1	54.7	1701	1506	67.26%	18.74%	14.00%	+1.45	+2.8	38
2016-02-28	@ FC Copenhagen	L 1-2	54.7	1506	1701	14.00%	18.74%	67.26%	-1.45	-2.8	15
2016-02-28	Hobro	W 1-0	46.1	1640	1448	66.99%	18.82%	14.19%	+1.43	+3.0	32
2016-02-28	@ Brondby	L 0-1	46.1	1448	1640	14.19%	18.82%	66.99%	-1.43	-3.0	10
2016-02-28	Nordsjaelland	D 1-1	65.5	1516	1518	44.99%	22.36%	32.65%	+0.27	-0.5	22
2016-02-28	@ Viborg	D 1-1	65.5	1518	1516	32.65%	22.36%	44.99%	-0.27	+0.5	23
2016-02-29	Aalborg	D 1-1	72.8	1673	1663	46.50%	22.28%	31.22%	+0.33	-0.6	32
2016-02-29	@ Midtjylland	D 1-1	72.8	1663	1673	31.22%	22.28%	46.50%	-0.33	+0.6	35
2016-03-03	FC Copenhagen	L 0-1	60.9	1672	1704	40.73%	22.49%	36.79%	+0.08	-7.7	32
2016-03-03	@ Midtjylland	W 1-0	60.9	1704	1672	36.79%	22.49%	40.73%	-0.08	+7.7	41
2016-03-04	Odense	L 0-1	63.6	1664	1552	58.99%	20.78%	20.24%	+0.95	-10.5	35
2016-03-04	@ Aalborg	W 1-0	63.6	1552	1664	20.24%	20.78%	58.99%	-0.95	+10.5	28
2016-03-05	Viborg	L 0-6	43.7	1445	1516	35.27%	22.46%	42.28%	-0.15	-36.0	10
2016-03-05	@ Hobro	W 6-0	43.7	1516	1445	42.28%	22.46%	35.27%	+0.15	+36.0	25
2016-03-06	Brondby	W 3-1	60.4	1597	1643	38.76%	22.50%	38.74%	+0.00	+12.1	35
2016-03-06	@ Sonderjyske	L 1-3	60.4	1643	1597	38.74%	22.50%	38.76%	+0.00	-12.1	32
2016-03-06	FC Copenhagen	D 0-0	67.4	1535	1712	22.74%	21.29%	55.97%	-0.79	+1.5	23
2016-03-06	@ Aarhus GF	D 0-0	67.4	1712	1535	55.97%	21.29%	22.74%	+0.79	-1.5	42
2016-03-06	Randers	W 1-0	57.4	1504	1603	31.43%	22.29%	46.28%	-0.32	+8.5	18
2016-03-06	@ Esbjerg	L 0-1	57.4	1603	1504	46.28%	22.29%	31.43%	+0.32	-8.5	28
2016-03-07	Midtjylland	W 2-1	66.5	1518	1664	25.91%	21.78%	52.31%	-0.60	+8.9	26
2016-03-07	@ Nordsjaelland	L 1-2	66.5	1664	1518	52.31%	21.78%	25.91%	+0.60	-8.9	32
2016-03-11	Aarhus GF	W 2-1	57.6	1512	1537	41.81%	22.47%	35.73%	+0.13	+6.5	21
2016-03-11	@ Esbjerg	L 1-2	57.6	1537	1512	35.73%	22.47%	41.81%	-0.13	-6.5	23
2016-03-12	Sonderjyske	D 0-0	65.1	1552	1609	37.09%	22.49%	40.42%	-0.07	+0.2	26
2016-03-12	@ Viborg	D 0-0	65.1	1609	1552	40.42%	22.49%	37.09%	+0.07	-0.1	36
2016-03-13	Aalborg	W 6-2	55.1	1710	1653	52.64%	21.74%	25.62%	+0.62	+13.3	45
2016-03-13	@ FC Copenhagen	L 2-6	55.1	1653	1710	25.62%	21.74%	52.64%	-0.62	-13.3	35
2016-03-13	Nordsjaelland	W 3-1	53.1	1562	1527	49.90%	22.02%	28.08%	+0.49	+9.3	31
2016-03-13	@ Odense	L 1-3	53.1	1527	1562	28.08%	22.02%	49.90%	-0.49	-9.3	26
2016-03-13	Randers	W 1-0	54.9	1631	1595	49.97%	22.02%	28.02%	+0.49	+5.7	35
2016-03-13	@ Brondby	L 0-1	54.9	1595	1631	28.02%	22.02%	49.97%	-0.49	-5.7	28
2016-03-14	Hobro	W 3-0	37.8	1655	1409	71.65%	17.25%	11.11%	+1.76	+6.3	35
2016-03-14	@ Midtjylland	L 0-3	37.8	1409	1655	11.11%	17.25%	71.65%	-1.76	-6.3	10
2016-03-18	Aarhus GF	D 2-2	75.9	1640	1530	58.77%	20.82%	20.42%	+0.94	-1.2	36
2016-03-18	@ Aalborg	D 2-2	75.9	1530	1640	20.42%	20.82%	58.77%	-0.94	+1.2	24
2016-03-19	Odense	L 0-2	41.8	1403	1572	23.50%	21.42%	55.08%	-0.74	-9.2	10
2016-03-19	@ Hobro	W 2-0	41.8	1572	1403	55.08%	21.42%	23.50%	+0.74	+9.2	34
2016-03-20	Esbjerg	D 0-0	65.5	1636	1519	59.63%	20.65%	19.72%	+0.98	-1.9	36
2016-03-20	@ Brondby	D 0-0	65.5	1519	1636	19.72%	20.65%	59.63%	-0.98	+1.9	22
2016-03-20	FC Copenhagen	W 2-0	60.4	1518	1724	20.03%	20.73%	59.24%	-0.96	+20.0	29
2016-03-20	@ Nordsjaelland	L 0-2	60.4	1724	1518	59.24%	20.73%	20.03%	+0.96	-19.9	45
2016-03-20	Midtjylland	W 3-2	69.7	1609	1662	37.76%	22.50%	39.75%	-0.04	+6.8	39
2016-03-20	@ Sonderjyske	L 2-3	69.7	1662	1609	39.75%	22.50%	37.76%	+0.04	-6.8	35
2016-03-20	Viborg	L 1-3	61.3	1589	1552	50.15%	22.00%	27.85%	+0.50	-14.9	28
2016-03-20	@ Randers	W 3-1	61.3	1552	1589	27.85%	22.00%	50.15%	-0.50	+14.9	29
2016-04-01	Nordsjaelland	W 1-0	51.5	1639	1538	57.79%	20.99%	21.22%	+0.88	+4.4	39
2016-04-01	@ Aalborg	L 0-1	51.5	1538	1639	21.22%	20.99%	57.79%	-0.88	-4.4	29
2016-04-02	Hobro	D 1-1	62.1	1531	1393	61.76%	20.20%	18.04%	+1.10	-1.9	25
2016-04-02	@ Aarhus GF	D 1-1	62.1	1393	1531	18.04%	20.20%	61.76%	-1.10	+1.9	11
2016-04-03	Brondby	W 2-0	52.8	1655	1635	47.95%	22.18%	29.87%	+0.40	+11.3	38
2016-04-03	@ Midtjylland	L 0-2	52.8	1635	1655	29.87%	22.18%	47.95%	-0.40	-11.3	36
2016-04-03	Randers	L 0-1	58.8	1581	1574	46.12%	22.30%	31.58%	+0.32	-8.5	34
2016-04-03	@ Odense	W 1-0	58.8	1574	1581	31.58%	22.30%	46.12%	-0.32	+8.5	31
2016-04-03	Sonderjyske	W 1-0	54.4	1704	1616	56.31%	21.24%	22.45%	+0.80	+4.7	48
2016-04-03	@ FC Copenhagen	L 0-1	54.4	1616	1704	22.45%	21.24%	56.31%	-0.80	-4.7	39
2016-04-04	Viborg	W 1-0	54.6	1521	1567	38.72%	22.50%	38.77%	+0.00	+7.4	25
2016-04-04	@ Esbjerg	L 0-1	54.6	1567	1521	38.77%	22.50%	38.72%	+0.00	-7.4	29
2016-04-08	Midtjylland	D 1-1	71.1	1559	1666	30.50%	22.23%	47.27%	-0.37	+0.7	30
2016-04-08	@ Viborg	D 1-1	71.1	1666	1559	47.27%	22.23%	30.50%	+0.37	-0.7	39
2016-04-09	Aarhus GF	D 2-2	74.9	1611	1529	55.57%	21.35%	23.07%	+0.77	-1.0	40
2016-04-09	@ Sonderjyske	D 2-2	74.9	1529	1611	23.07%	21.35%	55.57%	-0.77	+1.0	26
2016-04-10	Aalborg	L 0-2	41.6	1395	1643	16.65%	19.76%	63.59%	-1.21	-6.7	11
2016-04-10	@ Hobro	W 2-0	41.6	1643	1395	63.59%	19.76%	16.65%	+1.21	+6.7	42
2016-04-10	FC Copenhagen	D 1-1	72.3	1583	1708	28.26%	22.04%	49.70%	-0.48	+0.9	32
2016-04-10	@ Randers	D 1-1	72.3	1708	1583	49.70%	22.04%	28.26%	+0.48	-0.9	49
2016-04-10	Odense	W 1-0	53.7	1623	1572	51.85%	21.83%	26.32%	+0.58	+5.4	39
2016-04-10	@ Brondby	L 0-1	53.7	1572	1623	26.32%	21.83%	51.85%	-0.58	-5.4	34
2016-04-11	Esbjerg	D 0-0	62.1	1533	1528	45.91%	22.31%	31.78%	+0.31	-0.6	30
2016-04-11	@ Nordsjaelland	D 0-0	62.1	1528	1533	31.78%	22.31%	45.91%	-0.31	+0.6	26
2016-04-15	Hobro	W 2-1	46.8	1533	1389	62.39%	20.06%	17.56%	+1.14	+3.5	33
2016-04-15	@ Nordsjaelland	L 1-2	46.8	1389	1533	17.56%	20.06%	62.39%	-1.14	-3.5	11
2016-04-16	Randers	L 0-2	51.4	1530	1584	37.71%	22.50%	39.79%	-0.04	-13.7	26
2016-04-16	@ Aarhus GF	W 2-0	51.4	1584	1530	39.79%	22.50%	37.71%	+0.04	+13.7	35
2016-04-17	Brondby	W 2-0	51.2	1707	1629	55.25%	21.40%	23.35%	+0.75	+9.1	52
2016-04-17	@ FC Copenhagen	L 0-2	51.2	1629	1707	23.35%	21.40%	55.25%	-0.75	-9.1	39
2016-04-17	Sonderjyske	L 1-2	67.6	1650	1610	50.44%	21.97%	27.58%	+0.51	-8.7	42
2016-04-17	@ Aalborg	W 2-1	67.6	1610	1650	27.58%	21.97%	50.44%	-0.51	+8.7	43
2016-04-17	Viborg	W 5-1	50.9	1567	1560	46.17%	22.30%	31.53%	+0.32	+18.7	37
2016-04-17	@ Odense	L 1-5	50.9	1560	1567	31.53%	22.30%	46.17%	-0.32	-18.7	30
2016-04-18	Midtjylland	L 0-2	50.1	1529	1666	26.94%	21.90%	51.16%	-0.55	-10.4	26
2016-04-18	@ Esbjerg	W 2-0	50.1	1666	1529	51.16%	21.90%	26.94%	+0.55	+10.4	42
2016-04-22	Odense	W 2-0	49.8	1676	1586	56.58%	21.20%	22.22%	+0.82	+8.8	45
2016-04-22	@ Midtjylland	L 0-2	49.8	1586	1676	22.22%	21.20%	56.58%	-0.82	-8.7	37
2016-04-23	Esbjerg	D 2-2	66.4	1385	1518	27.39%	21.95%	50.66%	-0.52	+0.7	12
2016-04-23	@ Hobro	D 2-2	66.4	1518	1385	50.66%	21.95%	27.39%	+0.52	-0.7	27
2016-04-24	Aarhus GF	W 2-1	55.7	1619	1517	57.99%	20.96%	21.05%	+0.89	+4.2	42
2016-04-24	@ Brondby	L 1-2	55.7	1517	1619	21.05%	20.96%	57.99%	-0.89	-4.2	26
2016-04-24	FC Copenhagen	D 1-1	72.0	1541	1717	22.87%	21.32%	55.81%	-0.78	+1.4	31
2016-04-24	@ Viborg	D 1-1	72.0	1717	1541	55.81%	21.32%	22.87%	+0.78	-1.4	53
2016-04-24	Nordsjaelland	W 3-1	53.3	1619	1536	55.69%	21.34%	22.98%	+0.77	+7.8	46
2016-04-24	@ Sonderjyske	L 1-3	53.3	1536	1619	22.98%	21.34%	55.69%	-0.77	-7.8	33
2016-04-25	Aalborg	D 0-0	66.9	1597	1641	39.05%	22.50%	38.45%	+0.01	-0.0	36
2016-04-25	@ Randers	D 0-0	66.9	1641	1597	38.45%	22.50%	39.05%	-0.01	+0.0	43
2016-04-29	Viborg	L 1-2	59.4	1513	1542	41.03%	22.48%	36.49%	+0.10	-7.3	26
2016-04-29	@ Aarhus GF	W 2-1	59.4	1542	1513	36.49%	22.48%	41.03%	-0.10	+7.3	34
2016-04-30	Sonderjyske	L 1-2	49.9	1386	1626	17.18%	19.94%	62.88%	-1.17	-3.4	12
2016-04-30	@ Hobro	W 2-1	49.9	1626	1386	62.88%	19.94%	17.18%	+1.17	+3.4	49
2016-05-01	Brondby	W 3-0	50.2	1641	1624	47.55%	22.21%	30.24%	+0.38	+16.6	46
2016-05-01	@ Aalborg	L 0-3	50.2	1624	1641	30.24%	22.21%	47.55%	-0.38	-16.6	42
2016-05-01	Midtjylland	W 5-3	64.8	1715	1685	49.26%	22.08%	28.66%	+0.46	+8.0	56
2016-05-01	@ FC Copenhagen	L 3-5	64.8	1685	1715	28.66%	22.08%	49.26%	-0.46	-8.0	45
2016-05-01	Randers	D 2-2	74.1	1528	1597	35.51%	22.46%	42.03%	-0.14	+0.2	34
2016-05-01	@ Nordsjaelland	D 2-2	74.1	1597	1528	42.03%	22.46%	35.51%	+0.14	-0.2	37
2016-05-02	Odense	L 0-2	50.5	1517	1577	36.82%	22.49%	40.69%	-0.08	-13.4	27
2016-05-02	@ Esbjerg	W 2-0	50.5	1577	1517	40.69%	22.49%	36.82%	+0.08	+13.4	40
2016-05-06	Esbjerg	W 2-0	45.8	1630	1504	60.49%	20.48%	19.03%	+1.03	+7.6	52
2016-05-06	@ Sonderjyske	L 0-2	45.8	1504	1630	19.03%	20.48%	60.49%	-1.03	-7.6	27
2016-05-07	Hobro	W 2-0	37.8	1597	1382	69.00%	18.18%	12.82%	+1.57	+5.1	40
2016-05-07	@ Randers	L 0-2	37.8	1382	1597	12.82%	18.18%	69.00%	-1.57	-5.1	12
2016-05-08	Aalborg	L 0-2	51.6	1550	1658	30.41%	22.22%	47.37%	-0.37	-11.5	34
2016-05-08	@ Viborg	W 2-0	51.6	1658	1550	47.37%	22.22%	30.41%	+0.37	+11.5	49
2016-05-08	Aarhus GF	D 1-1	71.0	1677	1505	65.09%	19.37%	15.54%	+1.31	-2.1	46
2016-05-08	@ Midtjylland	D 1-1	71.0	1505	1677	15.54%	19.37%	65.09%	-1.31	+2.1	27
2016-05-08	FC Copenhagen	L 0-1	56.1	1590	1723	27.42%	21.96%	50.62%	-0.52	-5.6	40
2016-05-08	@ Odense	W 1-0	56.1	1723	1590	50.62%	21.96%	27.42%	+0.52	+5.6	59
2016-05-09	Nordsjaelland	W 2-1	56.5	1607	1528	55.21%	21.41%	23.38%	+0.75	+4.6	45
2016-05-09	@ Brondby	L 1-2	56.5	1528	1607	23.38%	21.41%	55.21%	-0.75	-4.6	34
2016-05-11	Esbjerg	W 5-1	46.5	1507	1497	46.67%	22.27%	31.06%	+0.34	+18.5	30
2016-05-11	@ Aarhus GF	L 1-5	46.5	1497	1507	31.06%	22.27%	46.67%	-0.34	-18.5	27
2016-05-11	Midtjylland	L 1-4	43.4	1377	1675	13.35%	18.44%	68.21%	-1.51	-6.5	12
2016-05-11	@ Hobro	W 4-1	43.4	1675	1377	68.21%	18.44%	13.35%	+1.51	+6.5	49
2016-05-11	Viborg	W 2-0	47.8	1637	1538	57.58%	21.03%	21.39%	+0.87	+8.4	55
2016-05-11	@ Sonderjyske	L 0-2	47.8	1538	1637	21.39%	21.03%	57.58%	-0.87	-8.4	34
2016-05-12	Brondby	L 0-2	55.8	1602	1612	43.89%	22.40%	33.70%	+0.22	-15.4	40
2016-05-12	@ Randers	W 2-0	55.8	1612	1602	33.70%	22.40%	43.89%	-0.22	+15.4	48
2016-05-12	FC Copenhagen	L 0-2	56.1	1669	1729	36.79%	22.49%	40.72%	-0.08	-13.4	49
2016-05-12	@ Aalborg	W 2-0	56.1	1729	1669	40.72%	22.49%	36.79%	+0.08	+13.4	62
2016-05-12	Odense	L 0-1	54.6	1524	1585	36.62%	22.48%	40.90%	-0.09	-7.1	34
2016-05-12	@ Nordsjaelland	W 1-0	54.6	1585	1524	40.90%	22.48%	36.62%	+0.09	+7.1	43
2016-05-14	Sonderjyske	W 3-2	66.8	1681	1646	49.88%	22.03%	28.10%	+0.49	+5.1	52
2016-05-14	@ Midtjylland	L 2-3	66.8	1646	1681	28.10%	22.03%	49.88%	-0.49	-5.1	55
2016-05-15	Hobro	L 0-1	57.9	1592	1371	69.55%	18.00%	12.45%	+1.60	-12.2	43
2016-05-15	@ Odense	W 1-0	57.9	1371	1592	12.45%	18.00%	69.55%	-1.60	+12.2	15
2016-05-16	Brondby	L 2-3	61.3	1478	1627	25.62%	21.74%	52.64%	-0.62	-4.7	27
2016-05-16	@ Esbjerg	W 3-2	61.3	1627	1478	52.64%	21.74%	25.62%	+0.62	+4.7	51
2016-05-16	Nordsjaelland	W 2-0	45.8	1742	1517	69.91%	17.87%	12.22%	+1.63	+4.8	65
2016-05-16	@ FC Copenhagen	L 0-2	45.8	1517	1742	12.22%	17.87%	69.91%	-1.63	-4.8	34
2016-05-16	Randers	L 2-3	65.4	1530	1587	37.20%	22.49%	40.31%	-0.07	-6.4	34
2016-05-16	@ Viborg	W 3-2	65.4	1587	1530	40.31%	22.49%	37.20%	+0.07	+6.4	43
2016-05-17	Aalborg	W 2-0	56.9	1526	1656	27.76%	21.99%	50.24%	-0.50	+17.3	33
2016-05-17	@ Aarhus GF	L 0-2	56.9	1656	1526	50.24%	21.99%	27.76%	+0.50	-17.2	49
2016-05-20	Odense	W 3-1	55.7	1641	1580	53.12%	21.68%	25.20%	+0.64	+8.5	58
2016-05-20	@ Sonderjyske	L 1-3	55.7	1580	1641	25.20%	21.68%	53.12%	-0.64	-8.5	43
2016-05-21	Aarhus GF	D 3-3	75.7	1512	1543	40.86%	22.49%	36.66%	+0.09	-0.1	35
2016-05-21	@ Nordsjaelland	D 3-3	75.7	1543	1512	36.66%	22.49%	40.86%	-0.09	+0.1	34
2016-05-22	Esbjerg	L 1-2	67.5	1638	1473	64.48%	19.53%	15.99%	+1.27	-10.8	49
2016-05-22	@ Aalborg	W 2-1	67.5	1473	1638	15.99%	19.53%	64.48%	-1.27	+10.8	30
2016-05-22	FC Copenhagen	W 4-2	70.3	1383	1747	9.88%	16.46%	73.66%	-1.91	+18.6	18
2016-05-22	@ Hobro	L 2-4	70.3	1747	1383	73.66%	16.46%	9.88%	+1.91	-18.6	65
2016-05-22	Midtjylland	L 1-2	62.5	1593	1686	32.27%	22.34%	45.39%	-0.28	-6.0	43
2016-05-22	@ Randers	W 2-1	62.5	1686	1593	45.39%	22.34%	32.27%	+0.28	+6.0	55
2016-05-23	Viborg	L 0-1	62.1	1632	1523	58.60%	20.85%	20.55%	+0.93	-10.5	51
2016-05-23	@ Brondby	W 1-0	62.1	1523	1632	20.55%	20.85%	58.60%	-0.93	+10.5	37
2016-05-26	Brondby	L 0-2	41.9	1402	1621	18.85%	20.43%	60.72%	-1.04	-7.5	18
2016-05-26	@ Hobro	W 2-0	41.9	1621	1402	60.72%	20.43%	18.85%	+1.04	+7.5	54
2016-05-26	FC Copenhagen	L 1-4	49.6	1484	1728	16.91%	19.85%	63.24%	-1.19	-8.3	30
2016-05-26	@ Esbjerg	W 4-1	49.6	1728	1484	63.24%	19.85%	16.91%	+1.19	+8.3	68
2016-05-26	Midtjylland	D 0-0	68.1	1628	1692	36.11%	22.48%	41.41%	-0.11	+0.2	50
2016-05-26	@ Aalborg	D 0-0	68.1	1692	1628	41.41%	22.48%	36.11%	+0.11	-0.2	56
2016-05-26	Odense	W 2-1	60.0	1543	1571	41.30%	22.48%	36.22%	+0.11	+6.6	37
2016-05-26	@ Aarhus GF	L 1-2	60.0	1571	1543	36.22%	22.48%	41.30%	-0.11	-6.6	43
2016-05-26	Randers	D 1-1	71.5	1649	1587	53.26%	21.67%	25.08%	+0.65	-1.2	59
2016-05-26	@ Sonderjyske	D 1-1	71.5	1587	1649	25.08%	21.67%	53.26%	-0.65	+1.2	44
2016-05-26	Viborg	W 1-0	52.1	1512	1534	42.14%	22.46%	35.40%	+0.14	+6.9	38
2016-05-26	@ Nordsjaelland	L 0-1	52.1	1534	1512	35.40%	22.46%	42.14%	-0.14	-6.9	37
2016-05-29	Aalborg	W 3-2	68.6	1565	1628	36.28%	22.48%	41.24%	-0.10	+7.0	46
2016-05-29	@ Odense	L 2-3	68.6	1628	1565	41.24%	22.48%	36.28%	+0.10	-7.0	50
2016-05-29	Aarhus GF	W 2-1	56.3	1737	1550	66.52%	18.96%	14.52%	+1.40	+2.9	71
2016-05-29	@ FC Copenhagen	L 1-2	56.3	1550	1737	14.52%	18.96%	66.52%	-1.40	-2.9	37
2016-05-29	Esbjerg	W 3-1	49.5	1588	1476	59.05%	20.76%	20.18%	+0.95	+6.9	47
2016-05-29	@ Randers	L 1-3	49.5	1476	1588	20.18%	20.76%	59.05%	-0.95	-6.9	30
2016-05-29	Hobro	W 1-0	41.8	1527	1394	61.25%	20.31%	18.43%	+1.08	+3.9	40
2016-05-29	@ Viborg	L 0-1	41.8	1394	1527	18.43%	20.31%	61.25%	-1.08	-3.9	18
2016-05-29	Nordsjaelland	W 4-1	48.9	1692	1519	65.26%	19.32%	15.42%	+1.32	+7.5	59
2016-05-29	@ Midtjylland	L 1-4	48.9	1519	1692	15.42%	19.32%	65.26%	-1.32	-7.5	38
2016-05-29	Sonderjyske	L 1-2	65.6	1629	1648	42.52%	22.45%	35.03%	+0.16	-7.5	54
2016-05-29	@ Brondby	W 2-1	65.6	1648	1629	35.03%	22.45%	42.52%	-0.16	+7.5	62

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	2016-05-22	9.88%	@ Hobro	1383	4	FC Copenhagen	1747	2
2	2016-05-15	12.45%	Hobro	1371	1	@ Odense	1592	0
3	2015-10-31	14.74%	Viborg	1505	4	@ Midtjylland	1688	2
4	2016-05-22	15.99%	Esbjerg	1473	2	@ Aalborg	1638	1
5	2015-09-20	17.55%	Nordsjaelland	1537	1	@ Midtjylland	1681	0
6	2016-03-20	20.03%	@ Nordsjaelland	1518	2	FC Copenhagen	1724	0
7	2016-03-04	20.24%	Odense	1552	1	@ Aalborg	1664	0
8	2016-05-23	20.55%	Viborg	1523	1	@ Brondby	1632	0
9	2015-08-23	20.84%	Viborg	1514	1	@ Randers	1619	0
10	2015-08-02	23.52%	Hobro	1516	2	@ Brondby	1593	0
11	2015-12-04	24.82%	@ Aarhus GF	1525	2	Midtjylland	1682	1
12	2016-03-07	25.91%	@ Nordsjaelland	1518	2	Midtjylland	1664	1
13	2016-04-17	27.58%	Sonderjyske	1610	2	@ Aalborg	1650	1
14	2016-05-17	27.76%	@ Aarhus GF	1526	2	Aalborg	1656	0
15	2016-03-20	27.85%	Viborg	1552	3	@ Randers	1589	1
16	2015-07-26	29.21%	Odense	1575	2	@ Brondby	1601	1
17	2015-08-09	29.45%	Sonderjyske	1541	4	@ Esbjerg	1565	0
18	2015-10-25	29.73%	@ Nordsjaelland	1517	3	Aalborg	1631	0
19	2015-10-02	30.06%	Odense	1542	5	@ Nordsjaelland	1561	1
20	2015-07-17	30.40%	Sonderjyske	1541	2	@ Nordsjaelland	1558	0
21	2015-09-25	31.11%	@ Viborg	1501	1	Aalborg	1603	0
22	2016-03-06	31.43%	@ Esbjerg	1504	1	Randers	1603	0
23	2016-04-03	31.58%	Randers	1574	1	@ Odense	1581	0
24	2015-08-30	31.80%	@ Odense	1554	1	FC Copenhagen	1651	0
25	2015-11-29	31.92%	Aalborg	1640	2	@ Brondby	1644	0

Biggest Elo Changes

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

#	Date	Elo Δ	Winning Team				Losing Team				Tie %
#	Date	Elo Δ	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2016-03-05	35.98	Viborg	6	1516	42.28%	@ Hobro	0	1445	35.27%	22.46%
2	2015-08-09	31.71	Sonderjyske	4	1541	29.45%	@ Esbjerg	0	1565	48.40%	22.15%
3	2015-10-04	29.78	@ Aalborg	5	1595	43.05%	Sonderjyske	0	1610	34.52%	22.43%
4	2015-08-16	27.43	Brondby	4	1575	36.95%	@ Viborg	0	1542	40.56%	22.49%
5	2015-10-02	26.13	Odense	5	1542	30.06%	@ Nordsjaelland	1	1561	47.75%	22.20%
6	2015-10-25	24.15	@ Nordsjaelland	3	1517	29.73%	Aalborg	0	1631	48.10%	22.17%
7	2015-11-01	21.07	@ Aalborg	6	1606	60.44%	Hobro	0	1481	19.07%	20.49%
8	2015-09-25	21.04	@ Sonderjyske	4	1589	48.74%	Odense	0	1563	29.14%	22.12%
9	2015-09-11	20.10	Aarhus GF	3	1548	39.15%	@ Hobro	0	1499	38.35%	22.50%
10	2016-03-20	19.95	@ Nordsjaelland	2	1518	20.03%	FC Copenhagen	0	1724	59.24%	20.73%
11	2016-04-17	18.72	@ Odense	5	1567	46.17%	Viborg	1	1560	31.53%	22.30%
12	2015-08-02	18.70	Hobro	2	1516	23.52%	@ Brondby	0	1593	55.05%	21.43%
13	2016-05-22	18.63	@ Hobro	4	1383	9.88%	FC Copenhagen	2	1747	73.66%	16.46%
14	2016-05-11	18.48	@ Aarhus GF	5	1507	46.67%	Esbjerg	1	1497	31.06%	22.27%
15	2015-11-01	18.26	@ FC Copenhagen	4	1676	53.65%	Randers	0	1611	24.74%	21.62%
16	2015-08-24	17.86	@ Aalborg	5	1593	48.03%	Odense	1	1572	29.79%	22.18%
17	2015-10-18	17.26	@ Aarhus GF	3	1540	46.00%	Nordsjaelland	0	1534	31.69%	22.31%
18	2016-05-17	17.26	@ Aarhus GF	2	1526	27.76%	Aalborg	0	1656	50.24%	21.99%
19	2015-10-31	17.06	Viborg	4	1505	14.74%	@ Midtjylland	2	1688	66.21%	19.05%
20	2016-05-01	16.61	@ Aalborg	3	1641	47.55%	Brondby	0	1624	30.24%	22.21%
21	2015-09-20	16.55	@ Aalborg	4	1587	40.30%	Brondby	1	1622	37.21%	22.49%
22	2015-09-16	16.49	@ FC Copenhagen	3	1650	47.84%	Randers	0	1630	29.97%	22.19%
23	2015-07-19	16.47	@ Odense	3	1559	47.88%	Hobro	0	1539	29.93%	22.19%
24	2015-07-17	16.42	Sonderjyske	2	1541	30.40%	@ Nordsjaelland	0	1558	47.38%	22.22%
25	2015-11-29	15.95	Aalborg	2	1640	31.92%	@ Brondby	0	1644	45.76%	22.32%

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	2015-08-09	79.8	@ Randers	3	1613	50.32%	Brondby	3	1574	27.69%	21.99%
2	2015-08-23	76.5	@ FC Copenhagen	2	1652	58.18%	Aarhus GF	2	1547	20.89%	20.93%
3	2016-03-18	75.9	@ Aalborg	2	1640	58.77%	Aarhus GF	2	1530	20.42%	20.82%
4	2016-05-21	75.7	@ Nordsjaelland	3	1512	40.86%	Aarhus GF	3	1543	36.66%	22.49%
5	2016-04-09	74.9	@ Sonderjyske	2	1611	55.57%	Aarhus GF	2	1529	23.07%	21.35%
6	2015-11-22	74.6	@ Esbjerg	4	1519	53.68%	Hobro	4	1453	24.70%	21.61%
7	2015-08-07	74.4	@ Odense	2	1579	48.60%	Aarhus GF	2	1554	29.27%	22.13%
8	2016-05-01	74.1	@ Nordsjaelland	2	1528	35.51%	Randers	2	1597	42.03%	22.46%
9	2016-02-26	73.0	@ Odense	2	1552	47.61%	Aarhus GF	2	1534	30.19%	22.21%
10	2016-02-29	72.8	@ Midtjylland	1	1673	46.50%	Aalborg	1	1663	31.22%	22.28%
11	2016-04-10	72.3	@ Randers	1	1583	28.26%	FC Copenhagen	1	1708	49.70%	22.04%
12	2016-04-24	72.0	@ Viborg	1	1541	22.87%	FC Copenhagen	1	1717	55.81%	21.32%
13	2016-05-26	71.5	@ Sonderjyske	1	1649	53.26%	Randers	1	1587	25.08%	21.67%
14	2015-11-20	71.4	@ Odense	1	1555	28.05%	Midtjylland	1	1683	49.92%	22.02%
15	2015-08-23	71.1	@ Esbjerg	1	1541	27.22%	Midtjylland	1	1676	50.84%	21.94%
16	2016-04-08	71.1	@ Viborg	1	1559	30.50%	Midtjylland	1	1666	47.27%	22.23%
17	2016-05-08	71.0	@ Midtjylland	1	1677	65.09%	Aarhus GF	1	1505	15.54%	19.37%
18	2015-08-09	70.8	@ FC Copenhagen	1	1652	59.63%	Nordsjaelland	1	1535	19.72%	20.65%
19	2016-02-27	70.6	@ Randers	1	1604	46.21%	Sonderjyske	1	1596	31.49%	22.29%
20	2015-10-31	70.5	Viborg	4	1505	14.74%	@ Midtjylland	2	1688	66.21%	19.05%
21	2015-09-28	70.3	@ Hobro	2	1476	36.23%	Esbjerg	2	1540	41.29%	22.48%
22	2016-05-22	70.3	@ Hobro	4	1383	9.88%	FC Copenhagen	2	1747	73.66%	16.46%
23	2015-07-20	70.1	@ Aalborg	1	1601	48.23%	Esbjerg	1	1578	29.61%	22.16%
24	2015-10-26	70.1	@ Randers	1	1612	51.99%	Odense	1	1560	26.19%	21.81%
25	2015-11-22	70.1	@ Aarhus GF	1	1531	29.75%	Brondby	1	1645	48.08%	22.17%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2016-03-14	37.8	@ Midtjylland	3	1655	71.65%	Hobro	0	1409	11.11%	17.25%
2	2016-05-07	37.8	@ Randers	2	1597	69.00%	Hobro	0	1382	12.82%	18.18%
3	2016-04-10	41.6	Aalborg	2	1643	63.59%	@ Hobro	0	1395	16.65%	19.76%
4	2016-03-19	41.8	Odense	2	1572	55.08%	@ Hobro	0	1403	23.50%	21.42%
5	2016-05-29	41.8	@ Viborg	1	1527	61.25%	Hobro	0	1394	18.43%	20.31%
6	2016-05-26	41.9	Brondby	2	1621	60.72%	@ Hobro	0	1402	18.85%	20.43%
7	2015-11-29	42.4	@ Sonderjyske	2	1582	60.74%	Hobro	0	1454	18.83%	20.42%
8	2015-11-01	42.9	@ Aalborg	6	1606	60.44%	Hobro	0	1481	19.07%	20.49%
9	2016-05-11	43.4	Midtjylland	4	1675	68.21%	@ Hobro	1	1377	13.35%	18.44%
10	2016-03-05	43.7	Viborg	6	1516	42.28%	@ Hobro	0	1445	35.27%	22.46%
11	2015-08-17	45.6	@ Sonderjyske	3	1573	50.34%	Hobro	0	1534	27.67%	21.98%
12	2015-08-30	45.7	@ Midtjylland	2	1675	64.91%	Hobro	0	1505	15.67%	19.42%
13	2016-05-06	45.8	@ Sonderjyske	2	1630	60.49%	Esbjerg	0	1504	19.03%	20.48%
14	2016-05-16	45.8	@ FC Copenhagen	2	1742	69.91%	Nordsjaelland	0	1517	12.22%	17.87%
15	2015-07-26	45.9	@ Randers	3	1606	53.59%	Nordsjaelland	0	1541	24.78%	21.63%
16	2015-10-18	45.9	@ Aarhus GF	3	1540	46.00%	Nordsjaelland	0	1534	31.69%	22.31%
17	2015-07-19	46.1	@ Odense	3	1559	47.88%	Hobro	0	1539	29.93%	22.19%
18	2016-02-28	46.1	@ Brondby	1	1640	66.99%	Hobro	0	1448	14.19%	18.82%
19	2015-09-19	46.4	@ Odense	2	1552	50.57%	Viborg	0	1511	27.46%	21.96%
20	2016-05-11	46.5	@ Aarhus GF	5	1507	46.67%	Esbjerg	1	1497	31.06%	22.27%
21	2015-12-07	46.8	@ Aalborg	2	1656	61.18%	Viborg	0	1523	18.49%	20.33%
22	2016-04-15	46.8	@ Nordsjaelland	2	1533	62.39%	Hobro	1	1389	17.56%	20.06%
23	2015-09-11	46.9	Aarhus GF	3	1548	39.15%	@ Hobro	0	1499	38.35%	22.50%
24	2015-09-25	47.0	@ Sonderjyske	4	1589	48.74%	Odense	0	1563	29.14%	22.12%
25	2015-10-04	47.8	@ Midtjylland	2	1684	61.61%	Aarhus GF	0	1548	18.15%	20.23%