2016-17 Superliga Season

236 games · 11 promotion-playoff teams

Final

Champion

FC Copenhagen

12th Title

Last Title: 2015-16

Relegated

Esbjerg

via playoff

Viborg · via playoff

Biggest Overachiever

Lyngby

9.08 points above expected

58 points · 48.92 expected points

Biggest Disappointment

Brondby

6.73 points below expected

62 points · 68.73 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	26	19	7	0	64	57	10	+47	52.49	+11.51
2	Brondby	26	15	7	4	52	52	23	+29	47.26	+4.74
3	Lyngby	26	11	6	9	39	25	23	+2	32.41	+6.59
4	Sonderjyske	26	10	9	7	39	30	32	-2	38.95	+0.05
5	Midtjylland	26	10	8	8	38	44	29	+15	46.45	-8.45
6	Nordsjaelland	26	9	8	9	35	41	41	0	31.25	+3.75
7	Randers	26	9	6	11	33	26	32	-6	37.27	-4.27
8	Aalborg	26	9	6	11	33	28	38	-10	36.02	-3.02
9	Silkeborg	26	7	9	10	30	31	46	-15	27.64	+2.36
10	Horsens	26	7	8	11	29	29	45	-16	28.33	+0.67
11	Odense	26	7	7	12	28	26	32	-6	32.91	-4.91
12	Aarhus GF	26	6	7	13	25	33	40	-7	32.69	-7.69
13	Viborg	26	6	7	13	25	29	40	-11	28.71	-3.71
14	Esbjerg	26	5	9	12	24	28	48	-20	25.56	-1.56

#	Team	GP	W	D	L	Pts	GF	GA	GD	SimPts	vsSim
1	FC Copenhagen Champion	36	25	9	2	84	74	20	+54	84.49	-0.49
2	Brondby	36	18	8	10	62	62	40	+22	68.73	-6.73
3	Lyngby	36	17	7	12	58	42	35	+7	48.92	+9.08
4	Midtjylland	36	15	9	12	54	67	53	+14	51.71	+2.29
5	Nordsjaelland	36	13	10	13	49	59	55	+4	45.01	+3.99
6	Sonderjyske	36	12	10	14	46	44	54	-10	50.43	-4.43

#	Team	GP	W	D	L	Pts	GF	GA	GD
1	Randers	32	11	8	13	41	33	35	-2
2	Odense	32	10	9	13	39	33	38	-5
3	Horsens	32	9	9	14	36	34	53	-19
4	Esbjerg Relegated	32	6	12	14	30	32	54	-22

#	Team	GP	W	D	L	Pts	GF	GA	GD	SimPts	vsSim
1	Silkeborg	32	9	11	12	38	36	51	-15	38.96	-0.96
2	Aalborg	32	10	8	14	38	30	45	-15	42.88	-4.88
3	Aarhus GF	32	10	7	15	37	45	46	-1	34.80	+2.20
4	Viborg Relegated	32	8	9	15	33	35	47	-12	34.53	-1.53

Going into Phase 2, all three groups kept their full Phase 1 points. Each group then played its own round-robin to determine final standings.

Form

Each team's 5-game rolling points-per-game across the season. Hot streaks push above the dashed 1.5 PPG reference line; cold spells drop below. Each team gets a distinct color; the legend below the plot lets you read off which line is which. (First 4 games of each team have no rolling window, so the lines start at game 5.)

League Race

Cumulative points across the season for each team. Highlighted teams are drawn in color (top finishers for the Title Race, bottom finishers for the Relegation Race); the rest of the league appears in light gray as context. Switch views with the buttons below.

Promotion Playoff

The path the promotion-playoff teams took to determine the final promotion spot. The full Promotion / Relegation tab has matchup heatmaps and round-by-round simulation outcomes.

Quarterfinals

Viborg 3

Horsens 1

Leg 1: Viborg 3-0 Horsens

Leg 2: Horsens 1-0 Viborg

Randers 4

Aalborg 1

Leg 1: Aalborg 0-2 Randers

Leg 2: Randers 2-1 Aalborg

Odense 4

Silkeborg 3

Leg 1: Odense 3-1 Silkeborg

Leg 2: Silkeborg 2-1 Odense

Aarhus GF 3

Esbjerg 1

Leg 1: Esbjerg 0-0 Aarhus GF

Leg 2: Aarhus GF 3-1 Esbjerg

Semifinals

Horsens 4

Esbjerg 3

Leg 1: Esbjerg 1-1 Horsens

Leg 2: Horsens 3-2 Esbjerg

Randers 3

Odense 1

Leg 1: Odense 1-1 Randers

Leg 2: Randers 2-0 Odense

Aarhus GF 3

Viborg 2

Leg 1: Viborg 2-2 Aarhus GF

Leg 2: Aarhus GF 1-0 Viborg

Finals

Horsens 3

Vendsyssel 1

Leg 1: Horsens 0-0 Vendsyssel

Leg 2: Vendsyssel 1-3 Horsens

Viborg 3

Helsingor 3

Leg 1: Helsingor 1-1 Viborg

Leg 2: Viborg 2-2 Helsingor

Midtjylland 3

Randers 0

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	1913	64	52.49	+11.51	97.7%	27	42	48	53	57	62	74
Midtjylland	1751	38	46.45	-8.45	10.6%	24	36	42	47	51	57	68
Lyngby	1743	39	32.41	+6.59	87.3%	11	22	28	32	37	43	55
Brondby	1735	52	47.26	+4.74	79.2%	22	37	43	47	52	57	71
Nordsjaelland	1696	35	31.25	+3.75	75.5%	11	21	27	31	35	42	56
Sonderjyske	1662	39	38.95	+0.05	53.8%	17	29	35	39	43	50	62
Aarhus GF	1660	25	32.69	-7.69	12.4%	12	23	28	33	37	43	56
Randers	1643	33	37.27	-4.27	28.1%	12	27	33	37	42	48	65
Odense	1625	28	32.91	-4.91	24.8%	13	23	29	33	37	44	58
Viborg	1591	25	28.71	-3.71	30.3%	9	19	24	29	33	39	54
Silkeborg	1575	30	27.64	+2.36	68.2%	7	18	23	28	32	38	51
Horsens	1557	29	28.33	+0.67	58.4%	9	19	24	28	32	39	52
Esbjerg	1546	24	25.56	-1.56	44.1%	5	16	21	25	29	36	50
Aalborg	1539	33	36.02	-3.02	34.8%	14	26	32	36	40	46	59

Head-to-Head

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

Beat expectations Fell short Within expectations

Team	AAL	AG	BRO	ESB	FC	HOR	LYN	MID	NOR	ODE	RAN	SIL	SON	VIB
Aalborg	—	3-0-1 5.74	0-0-2 1.97	1-0-1 3.80	0-1-1 1.48	0-1-1 3.46	1-0-1 3.05	0-1-1 1.80	1-1-0 3.25	0-1-1 2.96	2-0-0 2.41	1-1-2 6.30	0-1-1 2.33	1-1-2 5.81
Aarhus GF	1-0-3 5.16	—	0-0-2 1.80	1-1-0 3.40	0-0-2 1.21	1-1-0 2.69	0-1-1 2.76	1-1-0 1.60	1-0-1 2.67	0-0-2 2.57	0-1-1 2.78	1-1-2 6.29	1-0-1 2.32	3-1-0 6.05
Brondby	2-0-0 3.49	2-0-0 3.70	—	1-1-0 3.98	0-2-2 4.28	1-1-0 4.07	2-0-2 7.82	2-1-1 5.95	1-1-2 7.50	1-0-1 4.06	1-1-0 3.58	2-0-0 3.73	2-1-1 7.31	1-0-1 4.17
Esbjerg	1-0-1 1.68	0-1-1 2.06	0-1-1 1.52	—	0-0-2 1.25	1-1-2 5.32	0-2-0 2.02	0-0-2 1.29	0-1-1 2.18	2-1-1 4.15	1-3-0 4.06	0-1-1 2.69	1-1-0 1.82	0-0-2 2.69
FC Copenhagen	1-1-0 4.02	2-0-0 4.34	2-2-0 6.64	2-0-0 4.33	—	2-0-0 4.39	3-0-1 8.53	3-0-1 7.11	1-3-0 8.63	2-0-0 4.13	1-1-0 3.89	2-0-0 4.63	3-1-0 7.98	1-1-0 4.46
Horsens	1-1-0 2.00	0-1-1 2.75	0-1-1 1.44	2-1-1 5.58	0-0-2 1.19	—	2-0-0 2.22	0-0-2 1.56	0-1-1 2.60	1-2-1 4.29	2-0-2 4.24	0-1-1 2.74	0-1-1 1.95	1-0-1 2.63
Lyngby	1-0-1 2.39	1-1-0 2.68	2-0-2 3.17	0-2-0 3.43	1-0-3 2.56	0-0-2 3.23	—	2-2-0 3.81	2-0-2 5.51	1-1-0 2.67	0-0-2 2.44	1-1-0 2.93	4-0-0 4.67	2-0-0 2.99
Midtjylland	1-1-0 3.66	0-1-1 3.89	1-1-2 4.96	2-0-0 4.24	1-0-3 3.84	2-0-0 3.94	0-2-2 7.11	—	3-0-1 6.59	2-0-0 3.85	1-1-0 3.43	1-0-1 4.02	1-1-2 6.95	0-2-0 3.86
Nordsjaelland	0-1-1 2.20	1-0-1 2.77	2-1-1 3.47	1-1-0 3.27	0-3-1 2.47	1-1-0 2.85	2-0-2 5.36	1-0-3 4.32	—	0-0-2 2.72	0-1-1 2.09	1-1-0 3.04	2-1-1 4.96	2-0-0 2.78
Odense	1-1-0 2.48	2-0-0 2.87	1-0-1 1.45	1-1-2 6.76	0-0-2 1.39	1-2-1 6.62	0-1-1 2.76	0-0-2 1.65	2-0-0 2.73	—	2-0-2 5.50	0-2-0 2.97	0-0-2 2.48	0-2-0 3.01
Randers	0-0-2 3.03	1-1-0 2.66	0-1-1 1.89	0-3-1 6.88	0-1-1 1.62	2-0-2 6.66	2-0-0 3.01	0-1-1 2.02	1-1-0 3.37	2-0-2 5.39	—	1-0-1 3.38	0-0-2 2.55	2-0-0 3.48
Silkeborg	2-1-1 4.59	2-1-1 4.60	0-0-2 1.77	1-1-0 2.76	0-0-2 0.98	1-1-0 2.70	0-1-1 2.51	1-0-1 1.49	0-1-1 2.40	0-2-0 2.48	1-0-1 2.10	—	0-2-0 1.83	1-1-2 5.12
Sonderjyske	1-1-0 3.13	1-0-1 3.12	1-1-2 3.64	0-1-1 3.64	0-1-3 3.05	1-1-0 3.52	0-0-4 6.23	2-1-1 3.96	1-1-2 5.94	2-0-0 2.96	2-0-0 2.91	0-2-0 3.64	—	1-1-0 3.70
Viborg	2-1-1 5.09	0-1-3 4.85	1-0-1 1.35	2-0-0 2.76	0-1-1 1.13	1-0-1 2.81	0-0-2 2.45	0-2-0 1.64	0-0-2 2.66	0-2-0 2.43	0-0-2 1.99	2-1-1 5.77	0-1-1 1.78	—

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).

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	7.20%	10.17%	4.66%	3.60%	2.75%	0.42%	28.81%
1	10.17%	12.71%	7.20%	3.18%	0.42%	0.85%	34.53%
2	4.66%	7.20%	5.93%	1.69%	0.64%	0.64%	20.76%
3	3.60%	3.18%	1.69%	0.85%	0.21%	0.21%	9.75%
4	2.75%	0.42%	0.64%	0.21%	—	—	4.03%
5+	0.42%	0.85%	0.64%	0.21%	—	—	2.12%
Total	28.81%	34.53%	20.76%	9.75%	4.03%	2.12%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.33	1.33	+0.00
SD	1.24	1.24	1.85
CV	0.94	0.94	—
Max	7	7	+7
Min	0	0	-7

Games Played: 236

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.12%	15.62%	6.25%	6.25%	6.25%	—	37.50%
1	12.50%	18.75%	6.25%	—	—	—	37.50%
2	—	15.62%	3.12%	—	—	—	18.75%
3	3.12%	—	—	—	—	3.12%	6.25%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	18.75%	50.00%	15.62%	6.25%	6.25%	3.12%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.94	1.41	-0.47
SD	0.91	1.24	1.61
CV	0.97	0.88	—
Max	3	5	+3
Min	0	0	-4

Games Played: 32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.25%	15.62%	3.12%	—	—	3.12%	28.12%
1	6.25%	12.50%	18.75%	3.12%	—	—	40.62%
2	3.12%	6.25%	3.12%	3.12%	—	—	15.62%
3	—	3.12%	—	—	—	—	3.12%
4	3.12%	—	3.12%	—	—	—	6.25%
5+	—	3.12%	3.12%	—	—	—	6.25%
Total	18.75%	40.62%	31.25%	6.25%	—	3.12%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.41	1.44	-0.03
SD	1.52	1.32	2.07
CV	1.08	0.92	—
Max	6	7	+4
Min	0	0	-7

Games Played: 32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	11.11%	2.78%	2.78%	—	—	19.44%
1	11.11%	11.11%	5.56%	—	—	—	27.78%
2	8.33%	11.11%	5.56%	2.78%	2.78%	—	30.56%
3	2.78%	2.78%	5.56%	2.78%	—	—	13.89%
4	5.56%	—	—	—	—	—	5.56%
5+	2.78%	—	—	—	—	—	2.78%
Total	33.33%	36.11%	19.44%	8.33%	2.78%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.72	1.11	+0.61
SD	1.45	1.06	1.90
CV	0.84	0.96	—
Max	7	4	+7
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	12.50%	6.25%	3.12%	12.50%	6.25%	—	40.62%
1	3.12%	15.62%	6.25%	6.25%	—	—	31.25%
2	3.12%	—	9.38%	—	—	3.12%	15.62%
3	6.25%	3.12%	3.12%	—	—	—	12.50%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	25.00%	25.00%	21.88%	18.75%	6.25%	3.12%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.00	1.69	-0.69
SD	1.05	1.47	1.91
CV	1.05	0.87	—
Max	3	6	+3
Min	0	0	-4

Games Played: 32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	—	—	—	—	—	5.56%
1	13.89%	16.67%	—	2.78%	—	—	33.33%
2	16.67%	5.56%	2.78%	2.78%	—	—	27.78%
3	8.33%	11.11%	—	—	—	—	19.44%
4	11.11%	—	—	—	—	—	11.11%
5+	2.78%	—	—	—	—	—	2.78%
Total	58.33%	33.33%	2.78%	5.56%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.06	0.56	+1.50
SD	1.22	0.81	1.58
CV	0.59	1.46	—
Max	5	3	+5
Min	0	0	-2

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.25%	6.25%	12.50%	—	—	3.12%	28.12%
1	15.62%	15.62%	9.38%	3.12%	—	6.25%	50.00%
2	—	6.25%	3.12%	—	—	3.12%	12.50%
3	3.12%	—	—	3.12%	—	—	6.25%
4	—	—	3.12%	—	—	—	3.12%
5+	—	—	—	—	—	—	—
Total	25.00%	28.12%	28.12%	6.25%	—	12.50%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.06	1.66	-0.59
SD	0.98	1.56	1.79
CV	0.92	0.94	—
Max	4	5	+3
Min	0	0	-5

Games Played: 32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	11.11%	8.33%	5.56%	—	—	30.56%
1	22.22%	5.56%	5.56%	—	—	—	33.33%
2	8.33%	8.33%	8.33%	2.78%	—	—	27.78%
3	2.78%	2.78%	—	—	—	—	5.56%
4	2.78%	—	—	—	—	—	2.78%
5+	—	—	—	—	—	—	—
Total	41.67%	27.78%	22.22%	8.33%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.17	0.97	+0.19
SD	1.03	1.00	1.58
CV	0.88	1.03	—
Max	4	3	+4
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	8.33%	—	2.78%	—	—	16.67%
1	5.56%	8.33%	8.33%	8.33%	—	—	30.56%
2	5.56%	—	8.33%	2.78%	—	2.78%	19.44%
3	5.56%	8.33%	5.56%	2.78%	—	—	22.22%
4	2.78%	—	2.78%	—	—	—	5.56%
5+	—	2.78%	2.78%	—	—	—	5.56%
Total	25.00%	27.78%	27.78%	16.67%	—	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.86	1.47	+0.39
SD	1.40	1.21	1.84
CV	0.75	0.82	—
Max	5	5	+4
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	8.33%	—	—	5.56%	—	19.44%
1	2.78%	16.67%	8.33%	8.33%	—	—	36.11%
2	2.78%	8.33%	5.56%	5.56%	—	—	22.22%
3	2.78%	—	5.56%	—	—	—	8.33%
4	2.78%	5.56%	—	2.78%	—	—	11.11%
5+	—	2.78%	—	—	—	—	2.78%
Total	16.67%	41.67%	19.44%	16.67%	5.56%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.64	1.53	+0.11
SD	1.36	1.13	1.86
CV	0.83	0.74	—
Max	5	4	+4
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.38%	18.75%	3.12%	9.38%	3.12%	—	43.75%
1	9.38%	12.50%	3.12%	—	—	—	25.00%
2	—	9.38%	6.25%	3.12%	—	—	18.75%
3	6.25%	3.12%	—	—	—	—	9.38%
4	3.12%	—	—	—	—	—	3.12%
5+	—	—	—	—	—	—	—
Total	28.12%	43.75%	12.50%	12.50%	3.12%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.03	1.19	-0.16
SD	1.15	1.09	1.78
CV	1.11	0.92	—
Max	4	4	+4
Min	0	0	-4

Games Played: 32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.25%	18.75%	9.38%	3.12%	3.12%	—	40.62%
1	9.38%	9.38%	6.25%	—	—	—	25.00%
2	9.38%	9.38%	9.38%	—	—	—	28.12%
3	3.12%	—	—	—	—	—	3.12%
4	3.12%	—	—	—	—	—	3.12%
5+	—	—	—	—	—	—	—
Total	31.25%	37.50%	25.00%	3.12%	3.12%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.03	1.09	-0.06
SD	1.06	1.00	1.68
CV	1.03	0.91	—
Max	4	4	+4
Min	0	0	-4

Games Played: 32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	15.62%	3.12%	9.38%	6.25%	3.12%	—	37.50%
1	9.38%	9.38%	3.12%	6.25%	—	6.25%	34.38%
2	3.12%	3.12%	6.25%	—	—	—	12.50%
3	3.12%	6.25%	—	3.12%	—	—	12.50%
4	—	—	—	—	—	—	—
5+	—	—	—	3.12%	—	—	3.12%
Total	31.25%	21.88%	18.75%	18.75%	3.12%	6.25%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.12	1.59	-0.47
SD	1.24	1.50	1.88
CV	1.10	0.94	—
Max	5	5	+3
Min	0	0	-4

Games Played: 32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	2.78%	8.33%	2.78%	5.56%	—	22.22%
1	16.67%	16.67%	11.11%	2.78%	5.56%	—	52.78%
2	2.78%	2.78%	8.33%	—	—	—	13.89%
3	2.78%	—	2.78%	—	—	—	5.56%
4	2.78%	—	—	—	—	—	2.78%
5+	—	—	2.78%	—	—	—	2.78%
Total	27.78%	22.22%	33.33%	5.56%	11.11%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.22	1.50	-0.28
SD	1.12	1.28	1.88
CV	0.92	0.85	—
Max	5	4	+4
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	15.62%	18.75%	—	—	6.25%	—	40.62%
1	3.12%	9.38%	9.38%	3.12%	—	—	25.00%
2	—	15.62%	3.12%	—	6.25%	—	25.00%
3	—	3.12%	—	—	3.12%	—	6.25%
4	—	—	—	—	—	—	—
5+	—	3.12%	—	—	—	—	3.12%
Total	18.75%	50.00%	12.50%	3.12%	15.62%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.09	1.47	-0.38
SD	1.20	1.29	1.56
CV	1.10	0.88	—
Max	5	4	+4
Min	0	0	-4

Games Played: 32

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.

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	Lyngby	58	48.92	+9.08
2	Nordsjaelland	49	45.01	+3.99
3	Midtjylland	54	51.71	+2.29
4	Aarhus GF	37	34.80	+2.20
5	FC Copenhagen	84	84.49	-0.49

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Brondby	62	68.73	-6.73
2	Aalborg	38	42.88	-4.88
3	Sonderjyske	46	50.43	-4.43
4	Viborg	33	34.53	-1.53
5	Silkeborg	38	38.96	-0.96

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 W or D consecutively; Winless counts L or D consecutively.

Most Unlikely Winning Streaks

#	Team	Games	Dates	Probability
1	Lyngby	5	May 7 – May 28	1 in 1,100
2	Nordsjaelland	4	Mar 5 – Mar 31	1 in 240
3	Sonderjyske	5	Sep 18 – Oct 14	1 in 120
4	FC Copenhagen	9	Oct 15 – Dec 11	1 in 87
5	Horsens	3	Aug 19 – Sep 10	1 in 51

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Randers	7	Nov 25 – Mar 5	1 in 1,249
2	Brondby	5	May 7 – May 28	1 in 611
3	Odense	6	Aug 22 – Sep 25	1 in 207
4	Midtjylland	3	Dec 1 – Dec 11	1 in 75
5	Viborg	5	Oct 14 – Nov 20	1 in 48

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	FC Copenhagen	33	Jul 16 – May 14	1 in 494
2	Nordsjaelland	7	Feb 26 – Apr 14	1 in 220
3	Esbjerg	6	Nov 27 – Feb 27	1 in 98
4	Lyngby	6	Sep 19 – Oct 22	1 in 28
5	Sonderjyske	8	Aug 21 – Oct 14	1 in 26

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Sonderjyske	8	Jul 17 – Sep 11	1 in 97
2	Randers	10	Nov 25 – Apr 2	1 in 70
3	Brondby	6	Apr 30 – May 28	1 in 53
4	Aalborg	7	Sep 26 – Nov 18	1 in 23
5	Viborg	10	Sep 22 – Nov 29	1 in 17

Finish Position Heatmap

Each cell is the probability that the team (row) finished at that position (column). Use the buttons to switch between the first-phase positions when the league split and the final second-phase positions. Rows are sorted by actual finish (champion at top).

Team	1	2	3	4	5	6	7	8	9	10	11	12	13	14
FC Copenhagen	58.73%	23.82%	10.31%	4.21%	1.52%	0.79%	0.27%	0.15%	0.09%	0.05%	0.02%	0.03%	0.01%	—
Brondby	20.34%	31.26%	22.94%	11.60%	6.31%	3.10%	1.94%	1.28%	0.63%	0.29%	0.13%	0.11%	0.05%	0.02%
Lyngby	0.16%	0.98%	2.89%	5.63%	8.04%	10.41%	10.88%	11.38%	11.18%	10.34%	9.21%	7.79%	6.73%	4.38%
Sonderjyske	2.21%	6.23%	12.28%	18.20%	15.52%	12.09%	9.88%	7.46%	5.67%	4.14%	2.74%	2.01%	1.09%	0.48%
Midtjylland	16.00%	27.42%	25.88%	13.98%	7.13%	3.98%	2.57%	1.46%	0.68%	0.45%	0.27%	0.14%	0.04%	—
Nordsjaelland	0.13%	0.65%	2.10%	4.15%	6.58%	8.33%	9.74%	10.48%	11.00%	11.34%	10.91%	9.78%	8.48%	6.33%
Randers	1.28%	4.16%	9.02%	13.78%	14.76%	13.08%	10.86%	9.47%	7.90%	5.40%	4.07%	3.41%	1.87%	0.94%
Aalborg	0.70%	2.73%	6.53%	10.98%	13.41%	13.05%	11.73%	10.07%	9.29%	7.36%	5.71%	4.06%	2.92%	1.46%
Silkeborg	0.01%	0.18%	0.45%	1.30%	2.24%	3.83%	4.94%	6.89%	8.55%	9.94%	12.42%	14.09%	16.77%	18.39%
Horsens	0.02%	0.17%	0.66%	1.59%	2.90%	4.19%	5.96%	7.24%	8.63%	10.90%	12.53%	14.79%	15.22%	15.20%
Odense	0.18%	1.16%	3.12%	6.28%	8.67%	10.33%	11.04%	10.76%	10.89%	9.83%	8.96%	7.83%	6.50%	4.45%
Aarhus GF	0.22%	0.97%	2.74%	5.73%	8.47%	9.93%	10.43%	11.24%	11.47%	10.88%	9.16%	8.09%	6.22%	4.45%
Viborg	0.01%	0.23%	0.86%	1.99%	3.18%	4.79%	6.60%	7.66%	8.72%	11.47%	13.42%	13.31%	14.13%	13.63%
Esbjerg	0.01%	0.04%	0.22%	0.58%	1.27%	2.10%	3.16%	4.46%	5.30%	7.61%	10.45%	14.56%	19.97%	30.27%

Team	1	2	3	4	5	6	7	8	9	10	11	12	13	14
FC Copenhagen	99.13%	0.87%	—	—	—	—	—	—	—	—	—	—	—	—
Brondby	0.87%	97.76%	1.27%	0.10%	—	—	—	—	—	—	—	—	—	—
Lyngby	—	0.20%	21.73%	28.52%	31.59%	17.96%	—	—	—	—	—	—	—	—
Midtjylland	—	0.66%	40.43%	30.00%	20.40%	8.51%	—	—	—	—	—	—	—	—
Nordsjaelland	—	—	5.05%	11.29%	22.63%	61.03%	—	—	—	—	—	—	—	—
Sonderjyske	—	0.51%	31.52%	30.09%	25.38%	12.50%	—	—	—	—	—	—	—	—
Silkeborg	—	—	—	—	—	—	9.04%	14.97%	19.41%	19.81%	15.89%	11.48%	6.99%	2.41%
Aalborg	—	—	—	—	—	—	37.48%	27.67%	15.94%	9.99%	5.48%	2.51%	0.80%	0.13%
Aarhus GF	—	—	—	—	—	—	1.16%	2.89%	6.10%	10.03%	15.22%	21.41%	23.38%	19.81%
Viborg	—	—	—	—	—	—	0.84%	2.59%	5.68%	8.88%	13.55%	19.51%	25.39%	23.56%

Points Required Per Position

The empirical CDF of simulated point totals per finishing position. Use the buttons to switch between the first-phase distribution and the second-phase championship and relegation groups. Reading a curve at the 50% mark gives the median points typically needed to finish at that position.

Points Totals in Context

Each team's actual results against four model perspectives: simulated points, team Elo, average opponent Elo, and percentile within simulated outcomes. First phase is on the left, second phase on the right; the buttons switch the perspective on both plots at once. Dashed crosshairs at each plot's league means split it into four quadrants.

First Phase

Second Phase

First Phase

Second Phase

First Phase

Second Phase

First Phase

Second Phase

Season Trends

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

Season metrics are available for completed seasons.

Elo Progression Through The Playoffs

How each team's Elo rating moved through the playoff games. Game 0 is the starting Elo just before the first game; each later point is the post-game Elo after that fixture. Steep upward moves are wins over higher-rated opponents; sharp drops are losses to lower-rated opponents.

Stochastic Promotion/Relegation Outcomes

Across 100,000 regular-season simulations from preseason Elo, the probability of each team's next-season outcome — promotion-positive outcomes on the left, relegation-positive on the right. The round buttons switch to heatmaps of how often each pair of teams met in that round of the playoff across the simulations, since every iteration produces a different field.

Team	Same level	Qualified for relegation playoff final
Aalborg	83.44%	16.56%
Aarhus GF	68.77%	31.23%
Brondby	99.83%	0.17%
Esbjerg	26.31%	73.69%
FC Copenhagen	100%	—
Horsens	37.49%	62.51%
Lyngby	74.88%	25.12%
Midtjylland	99.75%	0.25%
Nordsjaelland	69.79%	30.21%
Odense	75.87%	24.13%
Randers	86.04%	13.96%
Silkeborg	36.71%	63.29%
Sonderjyske	94.95%	5.05%
Viborg	46.17%	53.83%

Actual Promotion/Relegation Outcomes

Across 100,000 simulations that took the actual first-phase results as FIXED and projected only the second-phase games, the probability of each team's end-of-season outcome. With the league split already decided, contenders and relegation candidates settle into clearer roles than in the full-season sim above.

Team	Same level	Qualified for relegation playoff final
Aalborg	91.08%	8.92%
Aarhus GF	20.18%	79.82%
Esbjerg	9.20%	90.80%
Horsens	42.42%	57.58%
Odense	65.36%	34.64%
Randers	90.54%	9.46%
Silkeborg	63.23%	36.77%
Viborg	17.99%	82.01%

Filter by Team:

Overall Game Log

Summary of every completed game this season. Sort any column by clicking its header.

Date	Opponent	Score	Pre Elo	Opp Elo	Win %	Tie %	Loss %	Elo Δ	Points
2016-07-15	Nordsjaelland	L 0-4	1638	1625	44.25%	27.89%	27.86%	-38.9	0
2016-07-15	@ Viborg	W 4-0	1625	1638	27.86%	27.89%	44.25%	+38.9	3
2016-07-15	Silkeborg	D 0-0	1660	1617	48.18%	27.38%	24.45%	-1.4	1
2016-07-15	@ Odense	D 0-0	1617	1660	24.45%	27.38%	48.18%	+1.4	1
2016-07-16	Lyngby	W 3-0	1754	1599	60.92%	24.03%	15.05%	+12.1	3
2016-07-16	@ FC Copenhagen	L 0-3	1599	1754	15.05%	24.03%	60.92%	-12.1	0
2016-07-17	Aarhus GF	L 1-2	1707	1652	49.62%	27.13%	23.24%	-11.2	0
2016-07-17	@ Sonderjyske	W 2-1	1652	1707	23.24%	27.13%	49.62%	+11.2	3
2016-07-17	Esbjerg	W 4-0	1687	1605	52.91%	26.45%	20.64%	+21.3	3
2016-07-17	@ Brondby	L 0-4	1605	1687	20.64%	26.45%	52.91%	-21.3	0
2016-07-17	Horsens	D 1-1	1688	1580	55.91%	25.67%	18.42%	-2.0	1
2016-07-17	@ Aalborg	D 1-1	1580	1688	18.42%	25.67%	55.91%	+2.0	1
2016-07-18	Randers	D 2-2	1733	1674	50.13%	27.04%	22.83%	-1.1	1
2016-07-18	@ Midtjylland	D 2-2	1674	1733	22.83%	27.04%	50.13%	+1.1	1
2016-07-22	Viborg	W 2-1	1663	1599	50.70%	26.93%	22.37%	+6.0	6
2016-07-22	@ Aarhus GF	L 1-2	1599	1663	22.37%	26.93%	50.70%	-6.0	0
2016-07-23	FC Copenhagen	L 0-4	1584	1767	20.11%	26.28%	53.61%	-20.9	0
2016-07-23	@ Esbjerg	W 4-0	1767	1584	53.61%	26.28%	20.11%	+20.9	6
2016-07-24	Aalborg	L 0-1	1675	1686	40.89%	28.17%	30.94%	-10.2	1
2016-07-24	@ Randers	W 1-0	1686	1675	30.94%	28.17%	40.89%	+10.2	4
2016-07-24	Brondby	L 0-2	1618	1709	30.01%	28.10%	41.89%	-15.3	1
2016-07-24	@ Silkeborg	W 2-0	1709	1618	41.89%	28.10%	30.01%	+15.3	6
2016-07-24	Midtjylland	L 0-4	1664	1732	33.01%	28.27%	38.73%	-31.2	3
2016-07-24	@ Nordsjaelland	W 4-0	1732	1664	38.73%	28.27%	33.01%	+31.2	4
2016-07-24	Odense	D 2-2	1587	1659	32.45%	28.25%	39.30%	+0.2	1
2016-07-24	@ Lyngby	D 2-2	1659	1587	39.30%	28.25%	32.45%	-0.2	2
2016-07-24	Sonderjyske	D 1-1	1582	1695	27.22%	27.82%	44.97%	+0.9	2
2016-07-24	@ Horsens	D 1-1	1695	1582	44.97%	27.82%	27.22%	-0.9	1
2016-07-29	Esbjerg	W 2-1	1593	1563	46.53%	27.62%	25.85%	+6.8	3
2016-07-29	@ Viborg	L 1-2	1563	1593	25.85%	27.62%	46.53%	-6.8	0
2016-07-30	Nordsjaelland	W 4-0	1787	1633	60.85%	24.06%	15.10%	+15.8	9
2016-07-30	@ FC Copenhagen	L 0-4	1633	1787	15.10%	24.06%	60.85%	-15.8	3
2016-07-31	Horsens	D 2-2	1724	1583	59.43%	24.57%	16.01%	-1.8	7
2016-07-31	@ Brondby	D 2-2	1583	1724	16.01%	24.57%	59.43%	+1.8	3
2016-07-31	Lyngby	L 0-1	1694	1587	55.77%	25.71%	18.52%	-13.1	1
2016-07-31	@ Sonderjyske	W 1-0	1587	1694	18.52%	25.71%	55.77%	+13.1	4
2016-07-31	Randers	L 1-2	1669	1665	43.09%	28.00%	28.91%	-10.0	6
2016-07-31	@ Aarhus GF	W 2-1	1665	1669	28.91%	28.00%	43.09%	+10.0	4
2016-07-31	Silkeborg	W 3-0	1763	1603	61.40%	23.85%	14.75%	+11.8	7
2016-07-31	@ Midtjylland	L 0-3	1603	1763	14.75%	23.85%	61.40%	-11.8	1
2016-08-01	Odense	D 2-2	1697	1659	47.52%	27.48%	25.00%	-0.9	5
2016-08-01	@ Aalborg	D 2-2	1659	1697	25.00%	27.48%	47.52%	+0.9	3
2016-08-05	Horsens	W 1-0	1675	1585	53.81%	26.23%	19.96%	+5.8	7
2016-08-05	@ Randers	L 0-1	1585	1675	19.96%	26.23%	53.81%	-5.8	3
2016-08-05	Lyngby	L 0-4	1591	1601	41.20%	28.15%	30.66%	-36.8	1
2016-08-05	@ Silkeborg	W 4-0	1601	1591	30.66%	28.15%	41.20%	+36.8	7
2016-08-06	Viborg	D 0-0	1659	1600	50.17%	27.03%	22.80%	-1.6	4
2016-08-06	@ Odense	D 0-0	1600	1659	22.80%	27.03%	50.17%	+1.6	4
2016-08-07	Aalborg	L 1-2	1617	1696	31.50%	28.20%	40.30%	-8.0	3
2016-08-07	@ Nordsjaelland	W 2-1	1696	1617	40.30%	28.20%	31.50%	+8.0	8
2016-08-07	Brondby	D 3-3	1775	1722	49.34%	27.18%	23.48%	-0.8	8
2016-08-07	@ Midtjylland	D 3-3	1722	1775	23.48%	27.18%	49.34%	+0.8	8
2016-08-07	FC Copenhagen	D 1-1	1681	1803	26.22%	27.68%	46.10%	+1.0	2
2016-08-07	@ Sonderjyske	D 1-1	1803	1681	46.10%	27.68%	26.22%	-1.0	10
2016-08-08	Aarhus GF	D 2-2	1556	1659	28.44%	27.96%	43.60%	+0.6	1
2016-08-08	@ Esbjerg	D 2-2	1659	1556	43.60%	27.96%	28.44%	-0.6	7
2016-08-12	Aarhus GF	D 0-0	1637	1658	39.57%	28.23%	32.19%	-0.4	8
2016-08-12	@ Lyngby	D 0-0	1658	1637	32.19%	28.23%	39.57%	+0.4	8
2016-08-12	Randers	L 0-1	1602	1680	31.52%	28.20%	40.28%	-8.4	4
2016-08-12	@ Viborg	W 1-0	1680	1602	40.28%	28.20%	31.52%	+8.4	10
2016-08-13	Midtjylland	W 3-1	1802	1774	46.25%	27.66%	26.09%	+11.9	13
2016-08-13	@ FC Copenhagen	L 1-3	1774	1802	26.09%	27.66%	46.25%	-11.9	8
2016-08-13	Silkeborg	D 3-3	1579	1554	45.79%	27.72%	26.50%	-0.6	4
2016-08-13	@ Horsens	D 3-3	1554	1579	26.50%	27.72%	45.79%	+0.6	2
2016-08-14	Nordsjaelland	W 3-1	1658	1609	48.87%	27.27%	23.87%	+11.1	7
2016-08-14	@ Odense	L 1-3	1609	1658	23.87%	27.27%	48.87%	-11.1	3
2016-08-14	Sonderjyske	W 4-0	1723	1682	47.84%	27.43%	24.73%	+25.0	11
2016-08-14	@ Brondby	L 0-4	1682	1723	24.73%	27.43%	47.84%	-24.9	2
2016-08-15	Esbjerg	W 2-1	1704	1557	60.09%	24.33%	15.58%	+4.3	11
2016-08-15	@ Aalborg	L 1-2	1557	1704	15.58%	24.33%	60.09%	-4.3	1
2016-08-19	Lyngby	W 2-1	1578	1637	34.26%	28.30%	37.44%	+9.0	7
2016-08-19	@ Horsens	L 1-2	1637	1578	37.44%	28.30%	34.26%	-9.0	8
2016-08-19	Randers	D 1-1	1598	1689	29.94%	28.09%	41.96%	+0.6	4
2016-08-19	@ Nordsjaelland	D 1-1	1689	1598	41.96%	28.09%	29.94%	-0.6	11
2016-08-20	Aalborg	D 1-1	1814	1708	55.65%	25.75%	18.60%	-2.0	14
2016-08-20	@ FC Copenhagen	D 1-1	1708	1814	18.60%	25.75%	55.65%	+2.0	12
2016-08-21	Brondby	L 0-7	1659	1748	30.17%	28.11%	41.72%	-49.5	8
2016-08-21	@ Aarhus GF	W 7-0	1748	1659	41.72%	28.11%	30.17%	+49.5	14
2016-08-21	Sonderjyske	D 2-2	1762	1657	55.49%	25.79%	18.72%	-1.5	9
2016-08-21	@ Midtjylland	D 2-2	1657	1762	18.72%	25.79%	55.49%	+1.5	3
2016-08-21	Viborg	L 1-5	1555	1593	37.13%	28.30%	34.56%	-28.4	2
2016-08-21	@ Silkeborg	W 5-1	1593	1555	34.56%	28.30%	37.13%	+28.4	7
2016-08-22	Odense	W 3-2	1552	1669	26.82%	27.76%	45.41%	+9.9	4
2016-08-22	@ Esbjerg	L 2-3	1669	1552	45.41%	27.76%	26.82%	-9.9	7
2016-08-26	Nordsjaelland	L 0-1	1628	1599	46.38%	27.64%	25.98%	-11.3	8
2016-08-26	@ Lyngby	W 1-0	1599	1628	25.98%	27.64%	46.38%	+11.3	7
2016-08-26	Silkeborg	W 1-0	1688	1527	61.57%	23.78%	14.64%	+4.3	14
2016-08-26	@ Randers	L 0-1	1527	1688	14.64%	23.78%	61.57%	-4.3	2
2016-08-28	Aarhus GF	W 2-1	1710	1609	55.06%	25.91%	19.03%	+5.2	15
2016-08-28	@ Aalborg	L 1-2	1609	1710	19.03%	25.91%	55.06%	-5.2	8
2016-08-28	Esbjerg	D 1-1	1659	1562	54.59%	26.03%	19.38%	-1.9	4
2016-08-28	@ Sonderjyske	D 1-1	1562	1659	19.38%	26.03%	54.59%	+1.9	5
2016-08-28	FC Copenhagen	D 1-1	1797	1812	40.47%	28.19%	31.34%	-0.5	15
2016-08-28	@ Brondby	D 1-1	1812	1797	31.34%	28.19%	40.47%	+0.5	15
2016-08-28	Horsens	L 0-1	1659	1587	51.65%	26.73%	21.62%	-12.3	7
2016-08-28	@ Odense	W 1-0	1587	1659	21.62%	26.73%	51.65%	+12.3	10
2016-08-28	Midtjylland	D 0-0	1622	1761	24.35%	27.36%	48.28%	+1.4	8
2016-08-28	@ Viborg	D 0-0	1761	1622	48.28%	27.36%	24.35%	-1.4	10
2016-09-09	Esbjerg	W 3-0	1759	1564	64.84%	22.45%	12.71%	+10.1	13
2016-09-09	@ Midtjylland	L 0-3	1564	1759	12.71%	22.45%	64.84%	-10.1	5
2016-09-09	Lyngby	W 2-0	1693	1617	52.18%	26.62%	21.20%	+11.5	17
2016-09-09	@ Randers	L 0-2	1617	1693	21.20%	26.62%	52.18%	-11.5	8
2016-09-10	Horsens	L 2-4	1623	1600	45.59%	27.74%	26.67%	-16.2	8
2016-09-10	@ Viborg	W 4-2	1600	1623	26.67%	27.74%	45.59%	+16.2	13
2016-09-10	Odense	W 2-0	1813	1647	61.99%	23.62%	14.38%	+7.9	18
2016-09-10	@ FC Copenhagen	L 0-2	1647	1813	14.38%	23.62%	61.99%	-7.9	7
2016-09-11	Brondby	L 0-1	1715	1797	31.13%	28.18%	40.70%	-8.4	15
2016-09-11	@ Aalborg	W 1-0	1797	1715	40.70%	28.18%	31.13%	+8.4	18
2016-09-11	Silkeborg	D 2-2	1657	1522	58.78%	24.78%	16.44%	-1.7	5
2016-09-11	@ Sonderjyske	D 2-2	1522	1657	16.44%	24.78%	58.78%	+1.7	3
2016-09-12	Nordsjaelland	W 3-1	1604	1610	41.70%	28.11%	30.19%	+13.3	11
2016-09-12	@ Aarhus GF	L 1-3	1610	1604	30.19%	28.11%	41.70%	-13.3	7
2016-09-16	Randers	D 1-1	1554	1704	23.20%	27.12%	49.68%	+1.4	6
2016-09-16	@ Esbjerg	D 1-1	1704	1554	49.68%	27.12%	23.20%	-1.4	18
2016-09-17	Aarhus GF	W 1-0	1524	1617	29.62%	28.07%	42.31%	+10.5	6
2016-09-17	@ Silkeborg	L 0-1	1617	1524	42.31%	28.07%	29.62%	-10.5	11
2016-09-18	FC Copenhagen	L 0-2	1616	1820	18.31%	25.63%	56.06%	-10.1	13
2016-09-18	@ Horsens	W 2-0	1820	1616	56.06%	25.63%	18.31%	+10.1	21
2016-09-18	Midtjylland	L 0-1	1639	1769	25.26%	27.52%	47.22%	-7.1	7
2016-09-18	@ Odense	W 1-0	1769	1639	47.22%	27.52%	25.26%	+7.1	16
2016-09-18	Sonderjyske	L 2-3	1597	1655	34.23%	28.30%	37.47%	-8.0	7
2016-09-18	@ Nordsjaelland	W 3-2	1655	1597	37.47%	28.30%	34.23%	+8.0	8
2016-09-18	Viborg	L 1-2	1805	1607	65.17%	22.30%	12.53%	-14.1	18
2016-09-18	@ Brondby	W 2-1	1607	1805	12.53%	22.30%	65.17%	+14.1	11
2016-09-19	Aalborg	W 1-0	1605	1707	28.57%	27.97%	43.45%	+10.7	11
2016-09-19	@ Lyngby	L 0-1	1707	1605	43.45%	27.97%	28.57%	-10.7	15
2016-09-20	Silkeborg	D 0-0	1555	1535	45.28%	27.78%	26.94%	-1.0	7
2016-09-20	@ Esbjerg	D 0-0	1535	1555	26.94%	27.78%	45.28%	+1.0	7
2016-09-21	FC Copenhagen	D 2-2	1703	1831	25.55%	27.57%	46.88%	+0.8	19
2016-09-21	@ Randers	D 2-2	1831	1703	46.88%	27.57%	25.55%	-0.8	22
2016-09-21	Midtjylland	D 1-1	1607	1776	21.32%	26.65%	52.03%	+1.6	12
2016-09-21	@ Aarhus GF	D 1-1	1776	1607	52.03%	26.65%	21.32%	-1.6	17
2016-09-21	Nordsjaelland	D 0-0	1606	1589	44.83%	27.83%	27.34%	-1.0	14
2016-09-21	@ Horsens	D 0-0	1589	1606	27.34%	27.83%	44.83%	+1.0	8
2016-09-22	Brondby	W 1-0	1616	1791	20.76%	26.49%	52.75%	+12.5	14
2016-09-22	@ Lyngby	L 0-1	1791	1616	52.75%	26.49%	20.76%	-12.5	18
2016-09-22	Odense	W 1-0	1663	1632	46.69%	27.60%	25.71%	+7.2	11
2016-09-22	@ Sonderjyske	L 0-1	1632	1663	25.71%	27.60%	46.69%	-7.2	7
2016-09-22	Viborg	W 1-0	1696	1621	52.11%	26.63%	21.25%	+6.1	18
2016-09-22	@ Aalborg	L 0-1	1621	1696	21.25%	26.63%	52.11%	-6.1	11
2016-09-24	Aarhus GF	W 2-0	1830	1609	67.26%	21.35%	11.39%	+6.1	25
2016-09-24	@ FC Copenhagen	L 0-2	1609	1830	11.39%	21.35%	67.26%	-6.1	12
2016-09-25	Esbjerg	W 3-0	1590	1554	47.14%	27.54%	25.33%	+19.5	11
2016-09-25	@ Nordsjaelland	L 0-3	1554	1590	25.33%	27.54%	47.14%	-19.5	7
2016-09-25	Horsens	W 5-2	1775	1605	62.38%	23.47%	14.15%	+8.3	20
2016-09-25	@ Midtjylland	L 2-5	1605	1775	14.15%	23.47%	62.38%	-8.3	14
2016-09-25	Lyngby	L 0-1	1615	1628	40.61%	28.18%	31.20%	-10.2	11
2016-09-25	@ Viborg	W 1-0	1628	1615	31.20%	28.18%	40.61%	+10.2	17
2016-09-25	Odense	W 3-0	1779	1624	60.82%	24.07%	15.11%	+12.1	21
2016-09-25	@ Brondby	L 0-3	1624	1779	15.11%	24.07%	60.82%	-12.1	7
2016-09-25	Sonderjyske	L 0-4	1704	1671	46.86%	27.58%	25.56%	-40.7	19
2016-09-25	@ Randers	W 4-0	1671	1704	25.56%	27.58%	46.86%	+40.7	14
2016-09-26	Aalborg	W 5-3	1536	1702	21.56%	26.72%	51.72%	+17.0	10
2016-09-26	@ Silkeborg	L 3-5	1702	1536	51.72%	26.72%	21.56%	-17.0	18
2016-09-30	Aarhus GF	W 2-1	1612	1602	43.82%	27.94%	28.24%	+7.3	10
2016-09-30	@ Odense	L 1-2	1602	1612	28.24%	27.94%	43.82%	-7.3	12
2016-09-30	Nordsjaelland	D 2-2	1553	1609	34.55%	28.30%	37.14%	+0.1	11
2016-09-30	@ Silkeborg	D 2-2	1609	1553	37.14%	28.30%	34.55%	-0.1	12
2016-10-01	Esbjerg	W 1-0	1597	1535	50.48%	26.97%	22.55%	+6.5	17
2016-10-01	@ Horsens	L 0-1	1535	1597	22.55%	26.97%	50.48%	-6.5	7
2016-10-02	FC Copenhagen	D 0-0	1605	1836	16.30%	24.72%	58.98%	+2.6	12
2016-10-02	@ Viborg	D 0-0	1836	1605	58.98%	24.72%	16.30%	-2.6	26
2016-10-02	Midtjylland	W 1-0	1639	1783	23.77%	27.25%	48.99%	+11.8	20
2016-10-02	@ Lyngby	L 0-1	1783	1639	48.99%	27.25%	23.77%	-11.8	20
2016-10-02	Randers	D 2-2	1791	1663	58.07%	25.02%	16.91%	-1.7	22
2016-10-02	@ Brondby	D 2-2	1663	1791	16.91%	25.02%	58.07%	+1.7	20
2016-10-02	Sonderjyske	L 0-1	1685	1711	38.90%	28.26%	32.84%	-9.8	18
2016-10-02	@ Aalborg	W 1-0	1711	1685	32.84%	28.26%	38.90%	+9.8	17
2016-10-14	Horsens	D 1-1	1595	1603	41.39%	28.14%	30.48%	-0.5	13
2016-10-14	@ Aarhus GF	D 1-1	1603	1595	30.48%	28.14%	41.39%	+0.5	18
2016-10-14	Viborg	W 1-0	1721	1607	56.53%	25.49%	17.98%	+5.2	20
2016-10-14	@ Sonderjyske	L 0-1	1607	1721	17.98%	25.49%	56.53%	-5.2	12
2016-10-15	Silkeborg	W 2-0	1833	1553	72.39%	18.74%	8.87%	+4.6	29
2016-10-15	@ FC Copenhagen	L 0-2	1553	1833	8.87%	18.74%	72.39%	-4.6	11
2016-10-16	Aalborg	W 2-0	1771	1675	54.48%	26.06%	19.45%	+10.7	23
2016-10-16	@ Midtjylland	L 0-2	1675	1771	19.45%	26.06%	54.48%	-10.7	18
2016-10-16	Brondby	D 1-1	1609	1789	20.33%	26.36%	53.31%	+1.8	13
2016-10-16	@ Nordsjaelland	D 1-1	1789	1609	53.31%	26.36%	20.33%	-1.8	23
2016-10-16	Odense	W 3-0	1664	1620	48.37%	27.35%	24.28%	+18.8	23
2016-10-16	@ Randers	L 0-3	1620	1664	24.28%	27.35%	48.37%	-18.8	10
2016-10-17	Lyngby	D 2-2	1528	1650	26.22%	27.68%	46.11%	+0.8	8
2016-10-17	@ Esbjerg	D 2-2	1650	1528	46.11%	27.68%	26.22%	-0.8	21
2016-10-21	Nordsjaelland	D 1-1	1665	1611	49.54%	27.15%	23.32%	-1.4	19
2016-10-21	@ Aalborg	D 1-1	1611	1665	23.32%	27.15%	49.54%	+1.4	14
2016-10-21	Silkeborg	L 1-3	1602	1548	49.49%	27.16%	23.35%	-19.4	12
2016-10-21	@ Viborg	W 3-1	1548	1602	23.35%	27.16%	49.49%	+19.4	14
2016-10-22	Sonderjyske	W 2-0	1650	1726	31.77%	28.21%	40.01%	+19.0	24
2016-10-22	@ Lyngby	L 0-2	1726	1650	40.01%	28.21%	31.77%	-19.0	20
2016-10-23	Aarhus GF	W 1-0	1787	1595	64.63%	22.54%	12.83%	+3.7	26
2016-10-23	@ Brondby	L 0-1	1595	1787	12.83%	22.54%	64.63%	-3.7	13
2016-10-23	FC Copenhagen	L 0-3	1601	1838	15.90%	24.51%	59.59%	-12.8	10
2016-10-23	@ Odense	W 3-0	1838	1601	59.59%	24.51%	15.90%	+12.8	32
2016-10-23	Randers	W 1-0	1604	1683	31.40%	28.19%	40.41%	+10.1	21
2016-10-23	@ Horsens	L 0-1	1683	1604	40.41%	28.19%	31.40%	-10.1	23
2016-10-24	Midtjylland	L 1-3	1529	1782	14.88%	23.93%	61.19%	-7.1	8
2016-10-24	@ Esbjerg	W 3-1	1782	1529	61.19%	23.93%	14.88%	+7.1	26
2016-10-28	Odense	D 1-1	1568	1588	39.65%	28.23%	32.12%	-0.4	15
2016-10-28	@ Silkeborg	D 1-1	1588	1568	32.12%	28.23%	39.65%	+0.4	11
2016-10-28	Viborg	W 4-3	1612	1582	46.41%	27.64%	25.95%	+6.3	17
2016-10-28	@ Nordsjaelland	L 3-4	1582	1612	25.95%	27.64%	46.41%	-6.3	12
2016-10-29	Randers	L 0-2	1669	1673	41.86%	28.10%	30.04%	-19.6	24
2016-10-29	@ Lyngby	W 2-0	1673	1669	30.04%	28.10%	41.86%	+19.6	26
2016-10-30	Aalborg	W 2-0	1791	1663	58.03%	25.03%	16.94%	+9.3	29
2016-10-30	@ Brondby	L 0-2	1663	1791	16.94%	25.03%	58.03%	-9.4	19
2016-10-30	FC Copenhagen	L 1-3	1789	1851	33.82%	28.29%	37.89%	-14.5	26
2016-10-30	@ Midtjylland	W 3-1	1851	1789	37.89%	28.29%	33.82%	+14.5	35
2016-10-30	Horsens	W 2-0	1707	1614	54.23%	26.13%	19.64%	+10.8	23
2016-10-30	@ Sonderjyske	L 0-2	1614	1707	19.64%	26.13%	54.23%	-10.8	21
2016-10-31	Esbjerg	W 6-2	1591	1522	51.32%	26.80%	21.88%	+15.9	16
2016-10-31	@ Aarhus GF	L 2-6	1522	1591	21.88%	26.80%	51.32%	-15.9	8
2016-11-04	Aalborg	W 3-0	1506	1654	23.41%	27.17%	49.42%	+32.5	11
2016-11-04	@ Esbjerg	L 0-3	1654	1506	49.42%	27.17%	23.41%	-32.5	19
2016-11-04	Silkeborg	D 0-0	1607	1567	47.71%	27.45%	24.84%	-1.3	17
2016-11-04	@ Aarhus GF	D 0-0	1567	1607	24.84%	27.45%	47.71%	+1.3	16
2016-11-05	Nordsjaelland	W 2-1	1693	1618	52.00%	26.66%	21.34%	+5.8	29
2016-11-05	@ Randers	L 1-2	1618	1693	21.34%	26.66%	52.00%	-5.8	17
2016-11-06	Brondby	L 1-2	1576	1800	16.80%	24.96%	58.24%	-4.6	12
2016-11-06	@ Viborg	W 2-1	1800	1576	58.24%	24.96%	16.80%	+4.6	32
2016-11-06	Lyngby	L 1-2	1588	1649	33.99%	28.29%	37.72%	-8.4	11
2016-11-06	@ Odense	W 2-1	1649	1588	37.72%	28.29%	33.99%	+8.4	27
2016-11-06	Midtjylland	L 1-5	1603	1774	21.14%	26.60%	52.26%	-18.2	21
2016-11-06	@ Horsens	W 5-1	1774	1603	52.26%	26.60%	21.14%	+18.2	29
2016-11-06	Sonderjyske	W 4-0	1865	1718	60.08%	24.34%	15.59%	+16.3	38
2016-11-06	@ FC Copenhagen	L 0-4	1718	1865	15.59%	24.34%	60.08%	-16.3	23
2016-11-18	FC Copenhagen	L 1-2	1622	1881	14.42%	23.65%	61.93%	-4.0	19
2016-11-18	@ Aalborg	W 2-1	1881	1622	61.93%	23.65%	14.42%	+4.0	41
2016-11-18	Horsens	L 0-1	1657	1585	51.76%	26.71%	21.53%	-12.3	27
2016-11-18	@ Lyngby	W 1-0	1585	1657	21.53%	26.71%	51.76%	+12.3	24
2016-11-19	Aarhus GF	W 3-2	1613	1605	43.45%	27.97%	28.58%	+7.0	20
2016-11-19	@ Nordsjaelland	L 2-3	1605	1613	28.58%	27.97%	43.45%	-7.0	17
2016-11-20	Brondby	W 1-0	1580	1805	16.74%	24.94%	58.32%	+13.6	14
2016-11-20	@ Odense	L 0-1	1805	1580	58.32%	24.94%	16.74%	-13.6	32
2016-11-20	Midtjylland	W 1-0	1702	1793	29.95%	28.10%	41.96%	+10.4	26
2016-11-20	@ Sonderjyske	L 0-1	1793	1702	41.96%	28.10%	29.95%	-10.4	29
2016-11-20	Viborg	W 2-1	1699	1572	57.97%	25.05%	16.98%	+4.7	32
2016-11-20	@ Randers	L 1-2	1572	1699	16.98%	25.05%	57.97%	-4.7	12
2016-11-21	Esbjerg	W 3-0	1568	1539	46.44%	27.63%	25.93%	+19.8	19
2016-11-21	@ Silkeborg	L 0-3	1539	1568	25.93%	27.63%	46.44%	-19.8	11
2016-11-25	Aarhus GF	L 1-5	1597	1598	42.33%	28.07%	29.61%	-31.3	24
2016-11-25	@ Horsens	W 5-1	1598	1597	29.61%	28.07%	42.33%	+31.3	20
2016-11-25	Randers	W 2-1	1618	1703	30.60%	28.14%	41.25%	+9.7	22
2016-11-25	@ Aalborg	L 1-2	1703	1618	41.25%	28.14%	30.60%	-9.7	32
2016-11-26	FC Copenhagen	L 0-1	1645	1885	15.67%	24.38%	59.95%	-4.6	27
2016-11-26	@ Lyngby	W 1-0	1885	1645	59.95%	24.38%	15.67%	+4.6	44
2016-11-26	Sonderjyske	D 2-2	1567	1712	23.67%	27.22%	49.10%	+1.0	13
2016-11-26	@ Viborg	D 2-2	1712	1567	49.10%	27.22%	23.67%	-1.0	27
2016-11-27	Nordsjaelland	D 2-2	1519	1620	28.72%	27.99%	43.29%	+0.5	12
2016-11-27	@ Esbjerg	D 2-2	1620	1519	43.29%	27.99%	28.72%	-0.5	21
2016-11-27	Silkeborg	W 3-1	1791	1588	65.61%	22.11%	12.28%	+5.8	35
2016-11-27	@ Brondby	L 1-3	1588	1791	12.28%	22.11%	65.61%	-5.8	19
2016-11-28	Odense	W 1-0	1782	1594	64.22%	22.72%	13.07%	+3.8	32
2016-11-28	@ Midtjylland	L 0-1	1594	1782	13.07%	22.72%	64.22%	-3.8	14
2016-11-29	Aalborg	D 1-1	1711	1627	53.12%	26.40%	20.48%	-1.7	28
2016-11-29	@ Sonderjyske	D 1-1	1627	1711	20.48%	26.40%	53.12%	+1.7	23
2016-11-29	Lyngby	L 0-1	1630	1640	41.03%	28.16%	30.81%	-10.2	20
2016-11-29	@ Aarhus GF	W 1-0	1640	1630	30.81%	28.16%	41.03%	+10.2	30
2016-11-29	Viborg	W 4-0	1890	1568	75.66%	16.91%	7.43%	+7.1	47
2016-11-29	@ FC Copenhagen	L 0-4	1568	1890	7.43%	16.91%	75.66%	-7.1	13
2016-11-30	Brondby	L 0-1	1694	1797	28.35%	27.95%	43.71%	-7.8	32
2016-11-30	@ Randers	W 1-0	1797	1694	43.71%	27.95%	28.35%	+7.8	38
2016-11-30	Horsens	W 2-1	1619	1566	49.40%	27.17%	23.43%	+6.3	24
2016-11-30	@ Nordsjaelland	L 1-2	1566	1619	23.43%	27.17%	49.40%	-6.3	24
2016-12-01	Esbjerg	L 0-1	1590	1519	51.52%	26.76%	21.72%	-12.3	14
2016-12-01	@ Odense	W 1-0	1519	1590	21.72%	26.76%	51.52%	+12.3	15
2016-12-01	Midtjylland	W 2-1	1583	1786	18.38%	25.66%	55.96%	+12.4	22
2016-12-01	@ Silkeborg	L 1-2	1786	1583	55.96%	25.66%	18.38%	-12.4	32
2016-12-03	Randers	W 1-0	1897	1686	66.37%	21.76%	11.87%	+3.4	50
2016-12-03	@ FC Copenhagen	L 0-1	1686	1897	11.87%	21.76%	66.37%	-3.4	32
2016-12-03	Viborg	L 1-2	1560	1561	42.34%	28.07%	29.59%	-9.9	24
2016-12-03	@ Horsens	W 2-1	1561	1560	29.59%	28.07%	42.34%	+9.9	16
2016-12-04	Aarhus GF	L 0-1	1774	1620	60.80%	24.08%	15.13%	-14.1	32
2016-12-04	@ Midtjylland	W 1-0	1620	1774	15.13%	24.08%	60.80%	+14.1	23
2016-12-04	Brondby	D 1-1	1532	1805	13.63%	23.12%	63.26%	+2.7	16
2016-12-04	@ Esbjerg	D 1-1	1805	1532	63.26%	23.12%	13.63%	-2.7	39
2016-12-04	Odense	L 0-1	1625	1578	48.73%	27.29%	23.98%	-11.8	24
2016-12-04	@ Nordsjaelland	W 1-0	1578	1625	23.98%	27.29%	48.73%	+11.8	17
2016-12-05	Lyngby	W 1-0	1629	1651	39.50%	28.24%	32.26%	+8.6	26
2016-12-05	@ Aalborg	L 0-1	1651	1629	32.26%	28.24%	39.50%	-8.6	30
2016-12-05	Sonderjyske	D 1-1	1595	1710	27.06%	27.80%	45.15%	+0.9	23
2016-12-05	@ Silkeborg	D 1-1	1710	1595	45.15%	27.80%	27.06%	-0.9	29
2016-12-09	Aalborg	W 3-0	1550	1638	30.33%	28.12%	41.55%	+28.3	27
2016-12-09	@ Horsens	L 0-3	1638	1550	41.55%	28.12%	30.33%	-28.3	26
2016-12-09	Nordsjaelland	D 0-0	1709	1614	54.41%	26.08%	19.51%	-2.1	30
2016-12-09	@ Sonderjyske	D 0-0	1614	1709	19.51%	26.08%	54.41%	+2.1	25
2016-12-10	Silkeborg	D 1-1	1642	1596	48.54%	27.32%	24.14%	-1.3	31
2016-12-10	@ Lyngby	D 1-1	1596	1642	24.14%	27.32%	48.54%	+1.3	24
2016-12-11	Esbjerg	L 0-2	1682	1534	60.16%	24.31%	15.53%	-26.4	32
2016-12-11	@ Randers	W 2-0	1534	1682	15.53%	24.31%	60.16%	+26.4	19
2016-12-11	FC Copenhagen	L 0-1	1634	1901	14.00%	23.37%	62.63%	-4.1	23
2016-12-11	@ Aarhus GF	W 1-0	1901	1634	62.63%	23.37%	14.00%	+4.1	53
2016-12-11	Midtjylland	W 2-1	1802	1759	48.12%	27.39%	24.49%	+6.5	42
2016-12-11	@ Brondby	L 1-2	1759	1802	24.49%	27.39%	48.12%	-6.5	32
2016-12-12	Odense	D 1-1	1571	1589	39.91%	28.22%	31.87%	-0.4	17
2016-12-12	@ Viborg	D 1-1	1589	1571	31.87%	28.22%	39.91%	+0.4	18
2017-02-17	Lyngby	L 0-1	1616	1641	39.00%	28.26%	32.74%	-9.9	25
2017-02-17	@ Nordsjaelland	W 1-0	1641	1616	32.74%	28.26%	39.00%	+9.9	34
2017-02-17	Sonderjyske	W 3-0	1561	1707	23.65%	27.22%	49.14%	+32.4	22
2017-02-17	@ Esbjerg	L 0-3	1707	1561	49.14%	27.22%	23.65%	-32.4	30
2017-02-18	Horsens	W 1-0	1597	1578	45.03%	27.81%	27.16%	+7.5	27
2017-02-18	@ Silkeborg	L 0-1	1578	1597	27.16%	27.81%	45.03%	-7.5	27
2017-02-19	Aalborg	L 1-2	1630	1609	45.20%	27.79%	27.01%	-10.4	23
2017-02-19	@ Aarhus GF	W 2-1	1609	1630	27.01%	27.79%	45.20%	+10.4	29
2017-02-19	Brondby	D 0-0	1905	1809	54.49%	26.06%	19.45%	-2.1	54
2017-02-19	@ FC Copenhagen	D 0-0	1809	1905	19.45%	26.06%	54.49%	+2.1	43
2017-02-19	Viborg	D 0-0	1753	1570	63.65%	22.95%	13.39%	-3.1	33
2017-02-19	@ Midtjylland	D 0-0	1570	1753	13.39%	22.95%	63.65%	+3.1	18
2017-02-20	Randers	W 3-0	1590	1656	33.19%	28.27%	38.54%	+26.8	21
2017-02-20	@ Odense	L 0-3	1656	1590	38.54%	28.27%	33.19%	-26.8	32
2017-02-24	Midtjylland	L 0-2	1629	1750	26.36%	27.70%	45.94%	-13.9	32
2017-02-24	@ Randers	W 2-0	1750	1629	45.94%	27.70%	26.36%	+13.9	36
2017-02-25	Odense	D 1-1	1571	1616	36.05%	28.31%	35.63%	-0.0	28
2017-02-25	@ Horsens	D 1-1	1616	1571	35.63%	28.31%	36.05%	+0.0	22
2017-02-26	Brondby	L 1-2	1674	1811	24.57%	27.40%	48.03%	-6.5	30
2017-02-26	@ Sonderjyske	W 2-1	1811	1674	48.03%	27.40%	24.57%	+6.5	46
2017-02-26	FC Copenhagen	D 1-1	1606	1903	12.34%	22.16%	65.50%	+2.9	26
2017-02-26	@ Nordsjaelland	D 1-1	1903	1606	65.50%	22.16%	12.34%	-3.0	55
2017-02-26	Silkeborg	W 3-0	1620	1605	44.51%	27.87%	27.62%	+20.9	32
2017-02-26	@ Aalborg	L 0-3	1605	1620	27.62%	27.87%	44.51%	-20.9	27
2017-02-27	Aarhus GF	D 1-1	1573	1619	36.07%	28.31%	35.61%	-0.0	19
2017-02-27	@ Viborg	D 1-1	1619	1573	35.61%	28.31%	36.07%	+0.0	24
2017-02-27	Esbjerg	D 0-0	1651	1593	49.94%	27.08%	22.99%	-1.6	35
2017-02-27	@ Lyngby	D 0-0	1593	1651	22.99%	27.08%	49.94%	+1.6	23
2017-03-03	Lyngby	D 1-1	1764	1649	56.61%	25.47%	17.92%	-2.1	37
2017-03-03	@ Midtjylland	D 1-1	1649	1764	17.92%	25.47%	56.61%	+2.1	36
2017-03-03	Viborg	L 1-3	1595	1573	45.36%	27.77%	26.87%	-18.1	23
2017-03-03	@ Esbjerg	W 3-1	1573	1595	26.87%	27.77%	45.36%	+18.1	22
2017-03-04	Sonderjyske	L 1-2	1619	1668	35.69%	28.31%	36.00%	-8.7	24
2017-03-04	@ Aarhus GF	W 2-1	1668	1619	36.00%	28.31%	35.69%	+8.7	33
2017-03-05	Horsens	W 5-0	1900	1571	76.17%	16.62%	7.22%	+8.4	58
2017-03-05	@ FC Copenhagen	L 0-5	1571	1900	7.22%	16.62%	76.17%	-8.4	28
2017-03-05	Nordsjaelland	L 2-3	1817	1609	66.13%	21.87%	12.00%	-13.5	46
2017-03-05	@ Brondby	W 3-2	1609	1817	12.00%	21.87%	66.13%	+13.5	29
2017-03-05	Randers	W 2-0	1584	1615	38.09%	28.29%	33.62%	+16.7	30
2017-03-05	@ Silkeborg	L 0-2	1615	1584	33.62%	28.29%	38.09%	-16.7	32
2017-03-06	Aalborg	W 4-0	1617	1641	39.16%	28.25%	32.59%	+31.0	25
2017-03-06	@ Odense	L 0-4	1641	1617	32.59%	28.25%	39.16%	-30.9	32
2017-03-10	Aarhus GF	D 1-1	1599	1610	40.88%	28.17%	30.96%	-0.5	33
2017-03-10	@ Randers	D 1-1	1610	1599	30.96%	28.17%	40.88%	+0.5	25
2017-03-10	Silkeborg	W 5-1	1622	1600	45.40%	27.77%	26.84%	+22.2	32
2017-03-10	@ Nordsjaelland	L 1-5	1600	1622	26.84%	27.77%	45.40%	-22.2	30
2017-03-11	Viborg	W 1-0	1651	1591	50.22%	27.02%	22.75%	+6.5	39
2017-03-11	@ Lyngby	L 0-1	1591	1651	22.75%	27.02%	50.22%	-6.5	22
2017-03-12	Brondby	L 0-2	1562	1804	15.58%	24.34%	60.08%	-8.6	28
2017-03-12	@ Horsens	W 2-0	1804	1562	60.08%	24.34%	15.58%	+8.6	49
2017-03-12	Esbjerg	W 2-0	1908	1577	76.33%	16.52%	7.15%	+3.5	61
2017-03-12	@ FC Copenhagen	L 0-2	1577	1908	7.15%	16.52%	76.33%	-3.5	23
2017-03-12	Sonderjyske	L 0-1	1647	1676	38.49%	28.27%	33.24%	-9.8	25
2017-03-12	@ Odense	W 1-0	1676	1647	33.24%	28.27%	38.49%	+9.8	36
2017-03-13	Midtjylland	D 1-1	1610	1762	23.00%	27.08%	49.92%	+1.4	33
2017-03-13	@ Aalborg	D 1-1	1762	1610	49.92%	27.08%	23.00%	-1.4	38
2017-03-19	Aalborg	W 2-1	1585	1611	38.87%	28.26%	32.87%	+8.2	25
2017-03-19	@ Viborg	L 1-2	1611	1585	32.87%	28.26%	38.87%	-8.2	33
2017-03-19	FC Copenhagen	L 1-3	1578	1912	10.58%	20.59%	68.83%	-4.9	30
2017-03-19	@ Silkeborg	W 3-1	1912	1578	68.83%	20.59%	10.58%	+4.9	64
2017-03-19	Horsens	D 1-1	1573	1554	45.11%	27.80%	27.09%	-0.9	24
2017-03-19	@ Esbjerg	D 1-1	1554	1573	27.09%	27.80%	45.11%	+0.9	29
2017-03-19	Lyngby	W 3-2	1813	1658	60.89%	24.04%	15.07%	+4.0	52
2017-03-19	@ Brondby	L 2-3	1658	1813	15.07%	24.04%	60.89%	-3.9	39
2017-03-19	Nordsjaelland	L 1-2	1760	1644	56.73%	25.43%	17.83%	-12.6	38
2017-03-19	@ Midtjylland	W 2-1	1644	1760	17.83%	25.43%	56.73%	+12.6	35
2017-03-19	Odense	L 1-2	1611	1638	38.77%	28.26%	32.96%	-9.2	25
2017-03-19	@ Aarhus GF	W 2-1	1638	1611	32.96%	28.26%	38.77%	+9.2	28
2017-03-19	Randers	W 1-0	1686	1598	53.58%	26.29%	20.13%	+5.8	39
2017-03-19	@ Sonderjyske	L 0-1	1598	1686	20.13%	26.29%	53.58%	-5.8	33

Second Phase Game Log

Every second-phase (championship / middle / relegation round) game from each team's perspective, filtered by the team selected at the top of the tab; the table scrolls within its frame. Sort any column by clicking its header. @ before an opponent name indicates an away game. The final column is running points within the second phase only.

Date	Opponent	Score	Pre Elo	Opp Elo	Win %	Tie %	Loss %	Elo Δ	Points
2017-03-31	Lyngby	W 2-0	1657	1654	42.93%	28.02%	29.05%	+15.0	3
2017-03-31	@ Nordsjaelland	L 0-2	1654	1657	29.05%	28.02%	42.93%	-15.0	0
2017-03-31	Odense	D 0-0	1554	1647	29.74%	28.08%	42.18%	+0.7	1
2017-03-31	@ Horsens	D 0-0	1647	1554	42.18%	28.08%	29.74%	-0.7	1
2017-04-01	Aalborg	D 0-0	1573	1603	38.40%	28.28%	33.33%	-0.3	1
2017-04-01	@ Silkeborg	D 0-0	1603	1573	33.33%	28.28%	38.40%	+0.3	1
2017-04-02	Aarhus GF	L 2-4	1593	1602	41.32%	28.14%	30.54%	-15.1	0
2017-04-02	@ Viborg	W 4-2	1602	1593	30.54%	28.14%	41.32%	+15.0	3
2017-04-02	Midtjylland	W 3-2	1817	1748	51.34%	26.80%	21.86%	+5.6	3
2017-04-02	@ Brondby	L 2-3	1748	1817	21.86%	26.80%	51.34%	-5.6	0
2017-04-02	Randers	D 0-0	1572	1592	39.71%	28.23%	32.06%	-0.4	1
2017-04-02	@ Esbjerg	D 0-0	1592	1572	32.06%	28.23%	39.71%	+0.4	1
2017-04-03	FC Copenhagen	L 1-2	1692	1916	16.78%	24.96%	58.26%	-4.6	0
2017-04-03	@ Sonderjyske	W 2-1	1916	1692	58.26%	24.96%	16.78%	+4.6	3
2017-04-07	Esbjerg	W 3-0	1646	1572	52.00%	26.66%	21.34%	+16.8	4
2017-04-07	@ Odense	L 0-3	1572	1646	21.34%	26.66%	52.00%	-16.8	1
2017-04-07	Horsens	W 2-0	1593	1555	47.45%	27.49%	25.06%	+13.3	4
2017-04-07	@ Randers	L 0-2	1555	1593	25.06%	27.49%	47.45%	-13.3	1
2017-04-08	Viborg	L 0-1	1603	1578	45.82%	27.71%	26.46%	-11.2	1
2017-04-08	@ Aalborg	W 1-0	1578	1603	26.46%	27.71%	45.82%	+11.2	3
2017-04-09	Brondby	L 1-2	1639	1822	20.06%	26.27%	53.68%	-5.5	0
2017-04-09	@ Lyngby	W 2-1	1822	1639	53.68%	26.27%	20.06%	+5.5	6
2017-04-09	Nordsjaelland	D 1-1	1921	1672	69.74%	20.13%	10.13%	-3.3	4
2017-04-09	@ FC Copenhagen	D 1-1	1672	1921	10.13%	20.13%	69.74%	+3.3	4
2017-04-09	Sonderjyske	W 3-1	1742	1687	49.61%	27.14%	23.26%	+10.8	3
2017-04-09	@ Midtjylland	L 1-3	1687	1742	23.26%	27.14%	49.61%	-10.8	0
2017-04-10	Silkeborg	L 1-3	1617	1573	48.22%	27.37%	24.41%	-19.0	3
2017-04-10	@ Aarhus GF	W 3-1	1573	1617	24.41%	27.37%	48.22%	+19.0	4
2017-04-14	Nordsjaelland	L 1-4	1676	1675	42.65%	28.04%	29.31%	-24.4	0
2017-04-14	@ Sonderjyske	W 4-1	1675	1676	29.31%	28.04%	42.65%	+24.4	7
2017-04-15	Horsens	L 0-1	1555	1542	44.25%	27.89%	27.85%	-10.9	1
2017-04-15	@ Esbjerg	W 1-0	1542	1555	27.85%	27.89%	44.25%	+10.9	4
2017-04-16	Midtjylland	D 2-2	1633	1753	26.48%	27.72%	45.80%	+0.7	1
2017-04-16	@ Lyngby	D 2-2	1753	1633	45.80%	27.72%	26.48%	-0.7	4
2017-04-17	Aarhus GF	W 1-0	1592	1598	41.70%	28.11%	30.19%	+8.2	4
2017-04-17	@ Aalborg	L 0-1	1598	1592	30.19%	28.11%	41.70%	-8.2	3
2017-04-17	FC Copenhagen	L 0-1	1828	1918	30.04%	28.10%	41.86%	-8.1	6
2017-04-17	@ Brondby	W 1-0	1918	1828	41.86%	28.10%	30.04%	+8.1	7
2017-04-17	Silkeborg	D 0-0	1589	1592	42.10%	28.08%	29.81%	-0.7	4
2017-04-17	@ Viborg	D 0-0	1592	1589	29.81%	28.08%	42.10%	+0.7	5
2017-04-18	Randers	W 1-0	1663	1606	49.89%	27.08%	23.02%	+6.6	7
2017-04-18	@ Odense	L 0-1	1606	1663	23.02%	27.08%	49.89%	-6.6	4
2017-04-21	Lyngby	L 1-2	1652	1634	44.91%	27.82%	27.27%	-10.4	0
2017-04-21	@ Sonderjyske	W 2-1	1634	1652	27.27%	27.82%	44.91%	+10.4	4
2017-04-21	Viborg	L 1-2	1593	1589	43.06%	28.01%	28.94%	-10.0	5
2017-04-21	@ Silkeborg	W 2-1	1589	1593	28.94%	28.01%	43.06%	+10.0	7
2017-04-22	Esbjerg	L 1-3	1553	1544	43.65%	27.95%	28.39%	-17.6	4
2017-04-22	@ Horsens	W 3-1	1544	1553	28.39%	27.95%	43.65%	+17.6	4
2017-04-23	Brondby	L 0-1	1700	1819	26.45%	27.71%	45.84%	-7.4	7
2017-04-23	@ Nordsjaelland	W 1-0	1819	1700	45.84%	27.71%	26.45%	+7.4	9
2017-04-23	Midtjylland	W 3-1	1926	1752	62.78%	23.31%	13.91%	+6.6	10
2017-04-23	@ FC Copenhagen	L 1-3	1752	1926	13.91%	23.31%	62.78%	-6.6	4
2017-04-23	Odense	W 4-0	1600	1670	32.65%	28.25%	39.09%	+35.3	7
2017-04-23	@ Randers	L 0-4	1670	1600	39.09%	28.25%	32.65%	-35.4	7
2017-04-24	Aalborg	W 4-0	1590	1600	41.04%	28.16%	30.80%	+29.7	6
2017-04-24	@ Aarhus GF	L 0-4	1600	1590	30.80%	28.16%	41.04%	-29.7	4
2017-04-28	Esbjerg	D 0-0	1635	1562	51.85%	26.69%	21.46%	-1.8	8
2017-04-28	@ Randers	D 0-0	1562	1635	21.46%	26.69%	51.85%	+1.8	5
2017-04-28	Horsens	W 2-1	1634	1535	54.88%	25.96%	19.17%	+5.3	10
2017-04-28	@ Odense	L 1-2	1535	1634	19.17%	25.96%	54.88%	-5.3	4
2017-04-29	Nordsjaelland	W 3-1	1745	1692	49.41%	27.17%	23.42%	+10.9	7
2017-04-29	@ Midtjylland	L 1-3	1692	1745	23.42%	27.17%	49.41%	-10.9	7
2017-04-30	Aalborg	D 1-1	1599	1570	46.24%	27.66%	26.10%	-1.0	8
2017-04-30	@ Viborg	D 1-1	1570	1599	26.10%	27.66%	46.24%	+1.0	5
2017-04-30	Lyngby	W 3-0	1932	1644	73.00%	18.41%	8.59%	+6.4	13
2017-04-30	@ FC Copenhagen	L 0-3	1644	1932	8.59%	18.41%	73.00%	-6.4	4
2017-04-30	Sonderjyske	D 1-1	1827	1642	63.89%	22.85%	13.25%	-2.8	10
2017-04-30	@ Brondby	D 1-1	1642	1827	13.25%	22.85%	63.89%	+2.8	1
2017-05-01	Aarhus GF	L 0-2	1583	1619	37.40%	28.30%	34.30%	-18.0	5
2017-05-01	@ Silkeborg	W 2-0	1619	1583	34.30%	28.30%	37.40%	+18.0	9
2017-05-05	FC Copenhagen	D 1-1	1681	1939	14.57%	23.74%	61.69%	+2.6	8
2017-05-05	@ Nordsjaelland	D 1-1	1939	1681	61.69%	23.74%	14.57%	-2.6	14
2017-05-07	Brondby	W 4-2	1756	1824	32.99%	28.27%	38.75%	+14.3	10
2017-05-07	@ Midtjylland	L 2-4	1824	1756	38.75%	28.27%	32.99%	-14.3	10
2017-05-07	Silkeborg	L 0-1	1571	1565	43.40%	27.98%	28.63%	-10.7	5
2017-05-07	@ Aalborg	W 1-0	1565	1571	28.63%	27.98%	43.40%	+10.7	8
2017-05-07	Sonderjyske	W 2-0	1638	1644	41.59%	28.12%	30.29%	+15.4	7
2017-05-07	@ Lyngby	L 0-2	1644	1638	30.29%	28.12%	41.59%	-15.4	1
2017-05-07	Viborg	W 1-0	1637	1598	47.71%	27.45%	24.84%	+7.0	12
2017-05-07	@ Aarhus GF	L 0-1	1598	1637	24.84%	27.45%	47.71%	-7.0	8
2017-05-08	Odense	D 1-1	1563	1640	31.86%	28.22%	39.92%	+0.4	6
2017-05-08	@ Esbjerg	D 1-1	1640	1563	39.92%	28.22%	31.86%	-0.4	11
2017-05-08	Randers	W 2-1	1530	1633	28.42%	27.96%	43.63%	+10.1	7
2017-05-08	@ Horsens	L 1-2	1633	1530	43.63%	27.96%	28.42%	-10.1	8
2017-05-12	Midtjylland	W 5-2	1629	1771	24.06%	27.31%	48.63%	+23.5	4
2017-05-12	@ Sonderjyske	L 2-5	1771	1629	48.63%	27.31%	24.06%	-23.5	10
2017-05-12	Nordsjaelland	W 2-1	1653	1684	38.23%	28.28%	33.48%	+8.3	10
2017-05-12	@ Lyngby	L 1-2	1684	1653	33.48%	28.28%	38.23%	-8.3	8
2017-05-14	Brondby	W 1-0	1936	1810	57.92%	25.07%	17.02%	+5.0	17
2017-05-14	@ FC Copenhagen	L 0-1	1810	1936	17.02%	25.07%	57.92%	-5.0	10
2017-05-16	Sonderjyske	W 4-1	1676	1653	45.58%	27.74%	26.67%	+17.1	11
2017-05-16	@ Nordsjaelland	L 1-4	1653	1676	26.67%	27.74%	45.58%	-17.1	4
2017-05-17	FC Copenhagen	W 3-2	1747	1941	19.14%	25.95%	54.91%	+11.6	13
2017-05-17	@ Midtjylland	L 2-3	1941	1747	54.91%	25.95%	19.14%	-11.6	17
2017-05-18	Lyngby	L 0-2	1805	1662	59.66%	24.48%	15.86%	-26.2	10
2017-05-18	@ Brondby	W 2-0	1662	1805	15.86%	24.48%	59.66%	+26.2	13
2017-05-20	Midtjylland	L 2-3	1693	1759	33.22%	28.27%	38.51%	-7.8	11
2017-05-20	@ Nordsjaelland	W 3-2	1759	1693	38.51%	28.27%	33.22%	+7.9	16
2017-05-21	Brondby	W 3-0	1635	1779	23.90%	27.27%	48.82%	+32.2	7
2017-05-21	@ Sonderjyske	L 0-3	1779	1635	48.82%	27.27%	23.90%	-32.2	10
2017-05-21	FC Copenhagen	W 3-1	1688	1930	15.58%	24.33%	60.08%	+22.8	16
2017-05-21	@ Lyngby	L 1-3	1930	1688	60.08%	24.33%	15.58%	-22.8	17
2017-05-28	Lyngby	L 0-3	1767	1711	49.75%	27.11%	23.14%	-32.7	16
2017-05-28	@ Midtjylland	W 3-0	1711	1767	23.14%	27.11%	49.75%	+32.7	19
2017-05-28	Nordsjaelland	L 1-2	1746	1685	50.42%	26.98%	22.59%	-11.4	10
2017-05-28	@ Brondby	W 2-1	1685	1746	22.59%	26.98%	50.42%	+11.4	14
2017-05-28	Sonderjyske	W 2-0	1907	1668	68.89%	20.56%	10.55%	+5.6	20
2017-05-28	@ FC Copenhagen	L 0-2	1668	1907	10.55%	20.56%	68.89%	-5.6	7

Playoff Game Log

Every playoff game for the team selected at the top of the tab (empty if they didn't reach the postseason). Sort any column by clicking its header. @ before an opponent name indicates an away game; the record column shows the team's running playoff record.

Date	Opponent	Score	Pre Elo	Opp Elo	Win %	Tie %	Loss %	Elo Δ	Record
2017-05-12	Horsens	W 3-0	1591	1540	49.08%	27.23%	23.69%	+18.4	1-0
2017-05-12	@ Viborg	L 0-3	1540	1591	23.69%	27.23%	49.08%	-18.4	0-1
2017-05-12	Randers	L 0-2	1561	1623	33.75%	28.29%	37.96%	-16.7	0-1
2017-05-12	@ Aalborg	W 2-0	1623	1561	37.96%	28.29%	33.75%	+16.7	1-0
2017-05-13	Silkeborg	W 3-1	1639	1575	50.72%	26.92%	22.36%	+10.5	1-0
2017-05-13	@ Odense	L 1-3	1575	1639	22.36%	26.92%	50.72%	-10.5	0-1
2017-05-14	Aarhus GF	D 0-0	1564	1644	31.30%	28.19%	40.51%	+0.5	0-0-1
2017-05-14	@ Esbjerg	D 0-0	1644	1564	40.51%	28.19%	31.30%	-0.5	0-0-1
2017-05-16	Odense	W 2-1	1565	1650	30.73%	28.15%	41.12%	+9.7	1-1
2017-05-16	@ Silkeborg	L 1-2	1650	1565	41.12%	28.15%	30.73%	-9.7	1-1
2017-05-16	Viborg	W 1-0	1522	1609	30.39%	28.13%	41.48%	+10.3	1-1
2017-05-16	@ Horsens	L 0-1	1609	1522	41.48%	28.13%	30.39%	-10.3	1-1
2017-05-17	Aalborg	W 2-1	1640	1544	54.48%	26.06%	19.46%	+5.3	2-0
2017-05-17	@ Randers	L 1-2	1544	1640	19.46%	26.06%	54.48%	-5.3	0-2
2017-05-17	Esbjerg	W 3-1	1644	1564	52.58%	26.53%	20.89%	+9.8	1-0-1
2017-05-17	@ Aarhus GF	L 1-3	1564	1644	20.89%	26.53%	52.58%	-9.9	0-1-1
2017-05-20	Horsens	D 1-1	1555	1532	45.50%	27.75%	26.74%	-1.0	0-1-2
2017-05-20	@ Esbjerg	D 1-1	1532	1555	26.74%	27.75%	45.50%	+1.0	1-1-1
2017-05-20	Randers	D 1-1	1640	1645	41.80%	28.11%	30.09%	-0.6	1-1-1
2017-05-20	@ Odense	D 1-1	1645	1640	30.09%	28.11%	41.80%	+0.6	2-0-1
2017-05-22	Aarhus GF	D 2-2	1599	1654	34.77%	28.31%	36.92%	+0.1	1-1-1
2017-05-22	@ Viborg	D 2-2	1654	1599	36.92%	28.31%	34.77%	-0.1	1-0-2
2017-05-28	Esbjerg	W 3-2	1533	1554	39.64%	28.23%	32.13%	+7.6	2-1-1
2017-05-28	@ Horsens	L 2-3	1554	1533	32.13%	28.23%	39.64%	-7.6	0-2-2
2017-05-28	Viborg	W 1-0	1653	1599	49.61%	27.14%	23.26%	+6.6	2-0-2
2017-05-28	@ Aarhus GF	L 0-1	1599	1653	23.26%	27.14%	49.61%	-6.6	1-2-1
2017-05-29	Odense	W 2-0	1646	1639	43.33%	27.98%	28.69%	+14.8	3-0-1
2017-05-29	@ Randers	L 0-2	1639	1646	28.69%	27.98%	43.33%	-14.8	1-2-1
2017-05-31	Vendsyssel	D 0-0	1541	1532	43.61%	27.96%	28.43%	-0.8	2-1-2
2017-05-31	@ Horsens	D 0-0	1532	1541	28.43%	27.96%	43.61%	+0.8	0-0-1
2017-05-31	Viborg	D 1-1	1534	1592	34.25%	28.30%	37.45%	+0.2	0-0-1
2017-05-31	@ Helsingor	D 1-1	1592	1534	37.45%	28.30%	34.25%	-0.2	1-2-2
2017-06-01	Randers	W 3-0	1734	1660	51.90%	26.68%	21.42%	+16.9	1-0
2017-06-01	@ Midtjylland	L 0-3	1660	1734	21.42%	26.68%	51.90%	-16.9	3-1-1
2017-06-04	Helsingor	D 2-2	1592	1534	50.04%	27.06%	22.90%	-1.0	1-2-3
2017-06-04	@ Viborg	D 2-2	1534	1592	22.90%	27.06%	50.04%	+1.0	0-0-2
2017-06-04	Horsens	L 1-3	1533	1540	41.58%	28.12%	30.30%	-16.9	0-1-1
2017-06-04	@ Vendsyssel	W 3-1	1540	1533	30.30%	28.12%	41.58%	+16.9	3-1-2

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	2017-03-05	12.00%	Nordsjaelland	1609	3	@ Brondby	1817	2
2	2016-09-18	12.53%	Viborg	1607	2	@ Brondby	1805	1
3	2016-12-04	15.13%	Aarhus GF	1620	1	@ Midtjylland	1774	0
4	2016-12-11	15.53%	Esbjerg	1534	2	@ Randers	1682	0
5	2017-05-21	15.58%	@ Lyngby	1688	3	FC Copenhagen	1930	1
6	2017-05-18	15.86%	Lyngby	1662	2	@ Brondby	1805	0
7	2016-11-20	16.74%	@ Odense	1580	1	Brondby	1805	0
8	2017-03-19	17.83%	Nordsjaelland	1644	2	@ Midtjylland	1760	1
9	2016-12-01	18.38%	@ Silkeborg	1583	2	Midtjylland	1786	1
10	2016-07-31	18.52%	Lyngby	1587	1	@ Sonderjyske	1694	0
11	2017-05-17	19.14%	@ Midtjylland	1747	3	FC Copenhagen	1941	2
12	2016-09-22	20.76%	@ Lyngby	1616	1	Brondby	1791	0
13	2016-11-18	21.53%	Horsens	1585	1	@ Lyngby	1657	0
14	2016-09-26	21.56%	@ Silkeborg	1536	5	Aalborg	1702	3
15	2016-08-28	21.62%	Horsens	1587	1	@ Odense	1659	0
16	2016-12-01	21.72%	Esbjerg	1519	1	@ Odense	1590	0
17	2017-05-28	22.59%	Nordsjaelland	1685	2	@ Brondby	1746	1
18	2017-05-28	23.14%	Lyngby	1711	3	@ Midtjylland	1767	0
19	2016-07-17	23.24%	Aarhus GF	1652	2	@ Sonderjyske	1707	1
20	2016-10-21	23.35%	Silkeborg	1548	3	@ Viborg	1602	1
21	2016-11-04	23.41%	@ Esbjerg	1506	3	Aalborg	1654	0
22	2017-02-17	23.65%	@ Esbjerg	1561	3	Sonderjyske	1707	0
23	2016-10-02	23.77%	@ Lyngby	1639	1	Midtjylland	1783	0
24	2017-05-21	23.90%	@ Sonderjyske	1635	3	Brondby	1779	0
25	2016-12-04	23.98%	Odense	1578	1	@ Nordsjaelland	1625	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	2016-08-21	49.49	Brondby	7	1748	41.72%	@ Aarhus GF	0	1659	30.17%	28.11%
2	2016-09-25	40.71	Sonderjyske	4	1671	25.56%	@ Randers	0	1704	46.86%	27.58%
3	2016-07-15	38.88	Nordsjaelland	4	1625	27.86%	@ Viborg	0	1638	44.25%	27.89%
4	2016-08-05	36.78	Lyngby	4	1601	30.66%	@ Silkeborg	0	1591	41.20%	28.15%
5	2017-04-23	35.35	@ Randers	4	1600	32.65%	Odense	0	1670	39.09%	28.25%
6	2017-05-28	32.72	Lyngby	3	1711	23.14%	@ Midtjylland	0	1767	49.75%	27.11%
7	2016-11-04	32.54	@ Esbjerg	3	1506	23.41%	Aalborg	0	1654	49.42%	27.17%
8	2017-02-17	32.39	@ Esbjerg	3	1561	23.65%	Sonderjyske	0	1707	49.14%	27.22%
9	2017-05-21	32.22	@ Sonderjyske	3	1635	23.90%	Brondby	0	1779	48.82%	27.27%
10	2016-11-25	31.30	Aarhus GF	5	1598	29.61%	@ Horsens	1	1597	42.33%	28.07%
11	2016-07-24	31.24	Midtjylland	4	1732	38.73%	@ Nordsjaelland	0	1664	33.01%	28.27%
12	2017-03-06	30.95	@ Odense	4	1617	39.16%	Aalborg	0	1641	32.59%	28.25%
13	2017-04-24	29.67	@ Aarhus GF	4	1590	41.04%	Aalborg	0	1600	30.80%	28.16%
14	2016-08-21	28.36	Viborg	5	1593	34.56%	@ Silkeborg	1	1555	37.13%	28.30%
15	2016-12-09	28.33	@ Horsens	3	1550	30.33%	Aalborg	0	1638	41.55%	28.12%
16	2017-02-20	26.77	@ Odense	3	1590	33.19%	Randers	0	1656	38.54%	28.27%
17	2016-12-11	26.39	Esbjerg	2	1534	15.53%	@ Randers	0	1682	60.16%	24.31%
18	2017-05-18	26.20	Lyngby	2	1662	15.86%	@ Brondby	0	1805	59.66%	24.48%
19	2016-08-14	24.95	@ Brondby	4	1723	47.84%	Sonderjyske	0	1682	24.73%	27.43%
20	2017-04-14	24.38	Nordsjaelland	4	1675	29.31%	@ Sonderjyske	1	1676	42.65%	28.04%
21	2017-05-12	23.46	@ Sonderjyske	5	1629	24.06%	Midtjylland	2	1771	48.63%	27.31%
22	2017-05-21	22.83	@ Lyngby	3	1688	15.58%	FC Copenhagen	1	1930	60.08%	24.33%
23	2017-03-10	22.21	@ Nordsjaelland	5	1622	45.40%	Silkeborg	1	1600	26.84%	27.77%
24	2016-07-17	21.35	@ Brondby	4	1687	52.91%	Esbjerg	0	1605	20.64%	26.45%
25	2017-02-26	20.88	@ Aalborg	3	1620	44.51%	Silkeborg	0	1605	27.62%	27.87%