2016-17 Superliga Season

236 games · 11 promotion-playoff teams · 100,000 simulations

Final

Champion

FC Copenhagen

84 points

Relegated

No relegation

Biggest Overachiever

Lyngby

9.64 points above expected

58 points · 48.36 expected points

Biggest Disappointment

Brondby

6.27 points below expected

62 points · 68.27 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	51.2	+12.76
2	Brondby	26	15	7	4	52	52	23	+29	45.2	+6.80
3	Lyngby	26	11	6	9	39	25	23	+2	29.8	+9.24
4	Sonderjyske	26	10	9	7	39	30	32	-2	38.5	+0.55
5	Midtjylland	26	10	8	8	38	44	29	+15	45.5	-7.46
6	Nordsjaelland	26	9	8	9	35	41	41	0	31.5	+3.51
7	Randers	26	9	6	11	33	26	32	-6	37.3	-4.27
8	Aalborg	26	9	6	11	33	28	38	-10	36.9	-3.90
9	Silkeborg	26	7	9	10	30	31	46	-15	26.9	+3.05
10	Horsens	26	7	8	11	29	29	45	-16	26.9	+2.09
11	Odense	26	7	7	12	28	26	32	-6	33.4	-5.36
12	Aarhus GF	26	6	7	13	25	33	40	-7	32.6	-7.61
13	Viborg	26	6	7	13	25	29	40	-11	29.6	-4.56
14	Esbjerg	26	5	9	12	24	28	48	-20	27.2	-3.23

#	Team	GP	W	D	L	Pts	GF	GA	GD	SimPts	vsSim
1	FC Copenhagen	36	25	9	2	84	74	20	+54	84.8	-0.77
2	Brondby	36	18	8	10	62	62	40	+22	68.3	-6.27
3	Lyngby	36	17	7	12	58	42	35	+7	48.4	+9.64
4	Midtjylland	36	15	9	12	54	67	53	+14	52.7	+1.29
5	Nordsjaelland	36	13	10	13	49	59	55	+4	44.9	+4.15
6	Sonderjyske	36	12	10	14	46	44	54	-10	49.9	-3.87
7	Randers	32	11	8	13	41	33	35	-2	42.5	-1.53
8	Odense	32	10	9	13	39	33	38	-5	39.5	-0.53
9	Silkeborg	32	9	11	12	38	36	51	-15	38.3	-0.29
10	Aalborg	32	10	8	14	38	30	45	-15	42.4	-4.35
11	Aarhus GF	32	10	7	15	37	45	46	-1	34.5	+2.50
12	Horsens	32	9	9	14	36	34	53	-19	37.4	-1.40
13	Viborg	32	8	9	15	33	35	47	-12	34.1	-1.10
14	Esbjerg	32	6	12	14	30	32	54	-22	32.5	-2.48

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

Viborg 3

Helsingor 3

Leg 1: Helsingor 1-1 Viborg

Leg 2: Viborg 2-2 Helsingor

Horsens 3

Vendsyssel 1

Leg 1: Horsens 0-0 Vendsyssel

Leg 2: Vendsyssel 1-3 Horsens

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	1872	84	51.24	+32.76	98.8%	25	41	47	51	56	61	76
Midtjylland	1745	54	45.46	+8.54	14.0%	20	35	41	46	50	56	66
Brondby	1736	62	45.20	+16.80	87.4%	24	34	41	45	49	56	69
Lyngby	1689	58	29.76	+28.24	94.2%	10	20	26	30	34	40	56
Nordsjaelland	1678	49	31.49	+17.51	74.7%	10	21	27	31	36	42	54
Sonderjyske	1664	46	38.45	+7.55	57.1%	14	28	34	38	43	49	62
Aarhus GF	1655	37	32.61	+4.39	11.8%	12	23	28	32	37	43	56
Randers	1655	41	37.27	+3.73	27.3%	16	27	33	37	41	48	60
Odense	1638	39	33.36	+5.64	21.8%	11	23	29	33	37	44	56
Viborg	1602	33	29.56	+3.44	25.6%	9	20	25	29	34	40	52
Aalborg	1587	38	36.90	+1.10	29.9%	14	27	33	37	41	47	62
Silkeborg	1580	38	26.95	+11.05	72.7%	7	17	23	27	31	37	49
Esbjerg	1566	30	27.23	+2.77	33.0%	7	18	23	27	31	37	52
Horsens	1560	36	26.91	+9.09	67.0%	8	17	23	27	31	37	54

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 5.78	0-0-2 2.15	1-0-1 3.61	0-1-1 1.73	0-1-1 3.55	1-0-1 3.24	0-1-1 1.96	1-1-0 3.16	0-1-1 2.91	2-0-0 2.49	1-1-2 6.48	0-1-1 2.44	1-1-2 5.91
Aarhus GF	1-0-3 4.90	—	0-0-2 1.91	1-1-0 3.15	0-0-2 1.42	1-1-0 2.89	0-1-1 2.91	1-1-0 1.74	1-0-1 2.64	0-0-2 2.52	0-1-1 2.59	1-1-2 6.24	1-0-1 2.29	3-1-0 5.81
Brondby	2-0-0 3.22	2-0-0 3.54	—	1-1-0 3.79	0-2-2 4.31	1-1-0 4.06	2-0-2 7.80	2-1-1 5.59	1-1-2 7.26	1-0-1 3.78	1-1-0 3.34	2-0-0 3.77	2-1-1 6.85	1-0-1 3.94
Esbjerg	1-0-1 1.83	0-1-1 2.19	0-1-1 1.71	—	0-0-2 1.38	1-1-2 5.50	0-2-0 2.32	0-0-2 1.51	0-1-1 2.25	2-1-1 4.26	1-3-0 4.10	0-1-1 2.77	1-1-0 1.94	0-0-2 2.62
FC Copenhagen	1-1-0 3.75	2-0-0 4.21	2-2-0 6.46	2-0-0 4.26	—	2-0-0 4.48	3-0-1 8.68	3-0-1 6.71	1-3-0 8.44	2-0-0 3.92	1-1-0 3.73	2-0-0 4.66	3-1-0 7.67	1-1-0 4.36
Horsens	1-1-0 1.88	0-1-1 2.43	0-1-1 1.52	2-1-1 5.15	0-0-2 1.22	—	2-0-0 2.31	0-0-2 1.55	0-1-1 2.36	1-2-1 4.11	2-0-2 3.97	0-1-1 2.63	0-1-1 1.86	1-0-1 2.41
Lyngby	1-0-1 2.11	1-1-0 2.40	2-0-2 3.25	0-2-0 3.00	1-0-3 2.65	0-0-2 3.03	—	2-2-0 3.59	2-0-2 5.00	1-1-0 2.35	0-0-2 2.17	1-1-0 2.78	4-0-0 4.27	2-0-0 2.70
Midtjylland	1-1-0 3.43	0-1-1 3.74	1-1-2 5.09	2-0-0 4.06	1-0-3 4.09	2-0-0 4.01	0-2-2 7.32	—	3-0-1 6.62	2-0-0 3.67	1-1-0 3.26	1-0-1 4.00	1-1-2 6.63	0-2-0 3.76
Nordsjaelland	0-1-1 2.18	1-0-1 2.67	2-1-1 3.65	1-1-0 3.07	0-3-1 2.82	1-1-0 2.98	2-0-2 5.62	1-0-3 4.14	—	0-0-2 2.63	0-1-1 2.15	1-1-0 3.04	2-1-1 4.79	2-0-0 2.73
Odense	1-1-0 2.41	2-0-0 2.79	1-0-1 1.71	1-1-2 6.45	0-0-2 1.61	1-2-1 6.66	0-1-1 2.97	0-0-2 1.80	2-0-0 2.72	—	2-0-2 5.21	0-2-0 3.07	0-0-2 2.43	0-2-0 2.93
Randers	0-0-2 2.81	1-1-0 2.72	0-1-1 2.04	0-3-1 6.70	0-1-1 1.76	2-0-2 6.82	2-0-0 3.20	0-1-1 2.09	1-1-0 3.20	2-0-2 5.43	—	1-0-1 3.44	0-0-2 2.55	2-0-0 3.32
Silkeborg	2-1-1 4.25	2-1-1 4.44	0-0-2 1.74	1-1-0 2.56	0-0-2 1.11	1-1-0 2.69	0-1-1 2.55	1-0-1 1.55	0-1-1 2.29	0-2-0 2.27	1-0-1 2.00	—	0-2-0 1.85	1-1-2 4.84
Sonderjyske	1-1-0 2.90	1-0-1 3.05	1-1-2 3.95	0-1-1 3.46	0-1-3 3.36	1-1-0 3.57	0-0-4 6.48	2-1-1 4.11	1-1-2 5.89	2-0-0 2.88	2-0-0 2.81	0-2-0 3.60	—	1-1-0 3.47
Viborg	2-1-1 4.78	0-1-3 4.84	1-0-1 1.60	2-0-0 2.71	0-1-1 1.31	1-0-1 2.92	0-0-2 2.63	0-2-0 1.73	0-0-2 2.59	0-2-0 2.40	0-0-2 2.07	2-1-1 5.81	0-1-1 1.93	—

Goal Differential vs Points

Each team plotted by their final goal differential (x) and final point total (y). Teams above the broad trend (more points than their GD would suggest) were efficient at narrow wins; teams below took more lopsided losses than their results imply.

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

Mean scored	1.33
Mean allowed	1.33
StdDev scored	1.24
StdDev allowed	1.24
Mean total goals/game	2.65
Correlation (home vs away score)	-0.096
Sample size (games)	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%

Aalborg — Summary Statistics

Mean scored	0.94
Mean allowed	1.41
StdDev scored	0.91
StdDev allowed	1.24
Mean total goals/game	2.34
Correlation (scored vs allowed)	-0.091
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%

Aarhus GF — Summary Statistics

Mean scored	1.41
Mean allowed	1.44
StdDev scored	1.52
StdDev allowed	1.32
Mean total goals/game	2.84
Correlation (scored vs allowed)	-0.059
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%

Brondby — Summary Statistics

Mean scored	1.72
Mean allowed	1.11
StdDev scored	1.45
StdDev allowed	1.06
Mean total goals/game	2.83
Correlation (scored vs allowed)	-0.128
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%

Esbjerg — Summary Statistics

Mean scored	1.00
Mean allowed	1.69
StdDev scored	1.05
StdDev allowed	1.47
Mean total goals/game	2.69
Correlation (scored vs allowed)	-0.126
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%

FC Copenhagen — Summary Statistics

Mean scored	2.06
Mean allowed	0.56
StdDev scored	1.22
StdDev allowed	0.81
Mean total goals/game	2.61
Correlation (scored vs allowed)	-0.177
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%

Horsens — Summary Statistics

Mean scored	1.06
Mean allowed	1.66
StdDev scored	0.98
StdDev allowed	1.56
Mean total goals/game	2.72
Correlation (scored vs allowed)	0.057
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%

Lyngby — Summary Statistics

Mean scored	1.17
Mean allowed	0.97
StdDev scored	1.03
StdDev allowed	1.00
Mean total goals/game	2.14
Correlation (scored vs allowed)	-0.218
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%

Midtjylland — Summary Statistics

Mean scored	1.86
Mean allowed	1.47
StdDev scored	1.40
StdDev allowed	1.21
Mean total goals/game	3.33
Correlation (scored vs allowed)	0.006
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%

Nordsjaelland — Summary Statistics

Mean scored	1.64
Mean allowed	1.53
StdDev scored	1.36
StdDev allowed	1.13
Mean total goals/game	3.17
Correlation (scored vs allowed)	-0.114
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%

Odense — Summary Statistics

Mean scored	1.03
Mean allowed	1.19
StdDev scored	1.15
StdDev allowed	1.09
Mean total goals/game	2.22
Correlation (scored vs allowed)	-0.262
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%

Randers — Summary Statistics

Mean scored	1.03
Mean allowed	1.09
StdDev scored	1.06
StdDev allowed	1.00
Mean total goals/game	2.12
Correlation (scored vs allowed)	-0.338
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%

Silkeborg — Summary Statistics

Mean scored	1.12
Mean allowed	1.59
StdDev scored	1.24
StdDev allowed	1.50
Mean total goals/game	2.72
Correlation (scored vs allowed)	0.063
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%

Sonderjyske — Summary Statistics

Mean scored	1.22
Mean allowed	1.50
StdDev scored	1.12
StdDev allowed	1.28
Mean total goals/game	2.72
Correlation (scored vs allowed)	-0.219
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%

Viborg — Summary Statistics

Mean scored	1.09
Mean allowed	1.47
StdDev scored	1.20
StdDev allowed	1.29
Mean total goals/game	2.56
Correlation (scored vs allowed)	0.220
Games played	32

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	48.4	+9.64
2	Nordsjaelland	49	44.9	+4.15
3	Aarhus GF	37	34.5	+2.50
4	Midtjylland	54	52.7	+1.29
5	Silkeborg	38	38.3	-0.29

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Brondby	62	68.3	-6.27
2	Aalborg	38	42.4	-4.35
3	Sonderjyske	46	49.9	-3.87
4	Esbjerg	30	32.5	-2.48
5	Randers	41	42.5	-1.53

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.

Longest Winning Streaks

#	Team	Games	Dates	Probability
1	Lyngby	5	May 7 – May 28	1 in 1,468
2	Sonderjyske	5	Sep 18 – Oct 14	1 in 175
3	Nordsjaelland	4	Mar 5 – Mar 31	1 in 167
4	FC Copenhagen	9	Oct 15 – Dec 11	1 in 113
5	Horsens	3	Aug 19 – Sep 10	1 in 65

Longest Losing Streaks

#	Team	Games	Dates	Probability
1	Randers	7	Nov 25 – Mar 5	1 in 1,903
2	Brondby	5	May 7 – May 28	1 in 626
3	Odense	6	Aug 22 – Sep 25	1 in 310
4	Viborg	5	Oct 14 – Nov 20	1 in 70
5	Midtjylland	3	Dec 1 – Dec 11	1 in 67

Longest Unbeaten Streaks

#	Team	Games	Dates	Probability
1	FC Copenhagen	33	Jul 16 – May 14	1 in 1,312
2	Nordsjaelland	7	Feb 26 – Apr 14	1 in 185
3	Esbjerg	6	Nov 27 – Feb 27	1 in 57
4	Lyngby	6	Sep 19 – Oct 22	1 in 30
5	Silkeborg	5	Sep 11 – Sep 30	1 in 21

Longest Winless Streaks

#	Team	Games	Dates	Probability
1	Sonderjyske	8	Jul 17 – Sep 11	1 in 84
2	Randers	10	Nov 25 – Apr 2	1 in 60
3	Brondby	6	Apr 30 – May 28	1 in 42
4	Aalborg	7	Sep 26 – Nov 18	1 in 21
5	Viborg	10	Sep 22 – Nov 29	1 in 20

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.

Finish Position Heatmap

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	13	14
FC Copenhagen	59.06%	22.12%	10.39%	4.42%	2.02%	1.01%	0.51%	0.27%	0.12%	0.02%	0.03%	0.03%	—	—
Brondby	16.75%	27.31%	22.86%	12.90%	8.00%	4.75%	3.30%	1.52%	1.22%	0.82%	0.31%	0.18%	0.07%	0.01%
Lyngby	0.08%	0.58%	1.29%	3.00%	4.77%	6.89%	7.78%	9.47%	10.95%	11.60%	11.86%	11.63%	10.96%	9.14%
Midtjylland	17.35%	27.71%	22.56%	12.78%	7.98%	4.64%	2.78%	2.03%	0.88%	0.58%	0.45%	0.12%	0.07%	0.07%
Nordsjaelland	0.16%	0.92%	2.36%	4.80%	7.15%	8.66%	10.13%	10.29%	11.34%	11.58%	9.82%	9.08%	7.79%	5.92%
Sonderjyske	2.37%	7.41%	12.55%	16.41%	14.58%	12.71%	9.99%	7.76%	5.42%	4.30%	2.95%	1.92%	1.05%	0.58%
Randers	1.78%	5.33%	9.57%	13.97%	14.80%	13.02%	11.19%	8.77%	7.27%	5.00%	3.95%	2.81%	1.62%	0.92%
Odense	0.39%	1.56%	3.91%	7.08%	9.34%	11.01%	11.61%	10.49%	10.51%	10.02%	8.08%	6.97%	5.41%	3.62%
Silkeborg	0.04%	0.14%	0.47%	1.32%	2.13%	3.17%	4.47%	5.77%	7.83%	9.41%	11.46%	14.77%	17.76%	21.26%
Aalborg	1.53%	5.04%	8.57%	12.91%	13.29%	12.83%	11.57%	9.83%	7.49%	6.07%	4.75%	3.13%	2.03%	0.96%
Aarhus GF	0.40%	1.21%	3.18%	5.68%	8.30%	9.38%	10.37%	11.42%	11.66%	10.45%	9.93%	7.62%	6.26%	4.14%
Horsens	0.02%	0.15%	0.41%	1.19%	1.73%	2.82%	4.68%	6.39%	7.36%	8.81%	12.15%	15.09%	17.22%	21.98%
Viborg	0.05%	0.36%	1.28%	2.41%	3.99%	6.09%	6.97%	9.54%	10.18%	11.75%	12.36%	12.05%	12.22%	10.75%
Esbjerg	0.02%	0.16%	0.60%	1.13%	1.92%	3.02%	4.65%	6.45%	7.77%	9.59%	11.90%	14.60%	17.54%	20.65%

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.

Points 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).

No Trend Data Yet

Season Trends will appear here once midseason progression snapshots are available for this season.

Promotion Playoff Bracket

The path the promotion-playoff teams took to determine the final promotion spot. Two-leg ties show their aggregate score with each leg listed below the matchup card.

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

Viborg 3

Helsingor 3

Leg 1: Helsingor 1-1 Viborg

Leg 2: Viborg 2-2 Helsingor

Horsens 3

Vendsyssel 1

Leg 1: Horsens 0-0 Vendsyssel

Leg 2: Vendsyssel 1-3 Horsens

Midtjylland 3

Randers 0

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	88.4%	11.6%
Aarhus GF	70.9%	29.1%
Brondby	99.8%	0.2%
Esbjerg	35.1%	64.9%
FC Copenhagen	100%	<0.1%
Horsens	29.6%	70.4%
Lyngby	57.7%	42.3%
Midtjylland	99.6%	0.4%
Nordsjaelland	70.8%	29.2%
Odense	78.8%	21.2%
Randers	89.2%	10.8%
Silkeborg	32.8%	67.2%
Sonderjyske	94.7%	5.3%
Viborg	52.5%	47.5%

Filter by Team:

Overall Game Log

Every regular-season game from each team's perspective. Use the team filter 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.

Date	Opponent	Score	Pre Elo	Opp Elo	Win %	Tie %	Loss %	Elo Δ	Points
2016-07-15	Silkeborg	D 0-0	1665	1604	47.4%	30.2%	22.3%	-0.9	1
2016-07-15	@ Odense	D 0-0	1604	1665	22.3%	30.2%	47.4%	+0.9	1
2016-07-15	Nordsjaelland	L 0-4	1640	1636	38.4%	34.3%	27.2%	-23.7	0
2016-07-15	@ Viborg	W 4-0	1636	1640	27.2%	34.3%	38.4%	+23.7	3
2016-07-16	Lyngby	W 3-0	1748	1587	64.0%	18.7%	17.3%	+7.9	3
2016-07-16	@ FC Copenhagen	L 0-3	1587	1748	17.3%	18.7%	64.0%	-7.9	0
2016-07-17	Horsens	D 1-1	1694	1571	57.5%	23.5%	19.0%	-1.3	1
2016-07-17	@ Aalborg	D 1-1	1571	1694	19.0%	23.5%	57.5%	+1.3	1
2016-07-17	Esbjerg	W 4-0	1691	1622	48.8%	29.4%	21.8%	+15.0	3
2016-07-17	@ Brondby	L 0-4	1622	1691	21.8%	29.4%	48.8%	-15.0	0
2016-07-17	Aarhus GF	L 1-2	1702	1652	45.7%	31.2%	23.1%	-7.0	0
2016-07-17	@ Sonderjyske	W 2-1	1652	1702	23.1%	31.2%	45.7%	+7.0	3
2016-07-18	Randers	D 2-2	1731	1678	46.2%	31.0%	22.9%	-0.6	1
2016-07-18	@ Midtjylland	D 2-2	1678	1731	22.9%	31.0%	46.2%	+0.6	1
2016-07-22	Viborg	W 2-1	1659	1616	44.5%	31.9%	23.6%	+4.3	6
2016-07-22	@ Aarhus GF	L 1-2	1616	1659	23.6%	31.9%	44.5%	-4.3	0
2016-07-23	FC Copenhagen	L 0-4	1607	1756	21.4%	28.7%	49.9%	-14.6	0
2016-07-23	@ Esbjerg	W 4-0	1756	1607	49.9%	28.7%	21.4%	+14.6	6
2016-07-24	Sonderjyske	D 1-1	1573	1695	23.1%	31.3%	45.6%	+0.8	2
2016-07-24	@ Horsens	D 1-1	1695	1573	45.6%	31.3%	23.1%	-0.7	1
2016-07-24	Odense	D 2-2	1579	1664	26.4%	34.0%	39.6%	+0.3	1
2016-07-24	@ Lyngby	D 2-2	1664	1579	39.6%	34.0%	26.4%	-0.3	2
2016-07-24	Midtjylland	L 0-4	1659	1730	27.9%	34.6%	37.5%	-19.1	3
2016-07-24	@ Nordsjaelland	W 4-0	1730	1659	37.5%	34.6%	27.9%	+19.1	4
2016-07-24	Aalborg	L 0-1	1679	1692	35.7%	35.0%	29.3%	-6.3	1
2016-07-24	@ Randers	W 1-0	1692	1679	29.3%	35.0%	35.7%	+6.3	4
2016-07-24	Brondby	L 0-2	1605	1706	24.9%	33.0%	42.2%	-9.1	1
2016-07-24	@ Silkeborg	W 2-0	1706	1605	42.2%	33.0%	24.9%	+9.1	6
2016-07-29	Esbjerg	W 2-1	1612	1592	40.8%	33.5%	25.7%	+4.7	3
2016-07-29	@ Viborg	L 1-2	1592	1612	25.7%	33.5%	40.8%	-4.7	0
2016-07-30	Nordsjaelland	W 4-0	1771	1640	58.9%	22.5%	18.7%	+11.8	9
2016-07-30	@ FC Copenhagen	L 0-4	1640	1771	18.7%	22.5%	58.9%	-11.7	3
2016-07-31	Randers	L 1-2	1663	1672	36.5%	34.8%	28.7%	-6.0	6
2016-07-31	@ Aarhus GF	W 2-1	1672	1663	28.7%	34.8%	36.5%	+6.0	4
2016-07-31	Horsens	D 2-2	1715	1573	60.7%	21.1%	18.2%	-1.1	7
2016-07-31	@ Brondby	D 2-2	1573	1715	18.2%	21.1%	60.7%	+1.1	3
2016-07-31	Silkeborg	W 3-0	1750	1596	62.7%	19.6%	17.7%	+8.1	7
2016-07-31	@ Midtjylland	L 0-3	1596	1750	17.7%	19.6%	62.7%	-8.1	1
2016-07-31	Lyngby	L 0-1	1695	1579	56.4%	24.3%	19.3%	-8.4	1
2016-07-31	@ Sonderjyske	W 1-0	1579	1695	19.3%	24.3%	56.4%	+8.4	4
2016-08-01	Odense	D 2-2	1699	1664	43.3%	32.5%	24.3%	-0.5	5
2016-08-01	@ Aalborg	D 2-2	1664	1699	24.3%	32.5%	43.3%	+0.5	3
2016-08-05	Horsens	W 1-0	1678	1574	54.4%	25.7%	19.9%	+3.7	7
2016-08-05	@ Randers	L 0-1	1574	1678	19.9%	25.7%	54.4%	-3.7	3
2016-08-05	Lyngby	L 0-4	1587	1587	37.8%	34.5%	27.7%	-23.5	1
2016-08-05	@ Silkeborg	W 4-0	1587	1587	27.7%	34.5%	37.8%	+23.5	7
2016-08-06	Viborg	D 0-0	1664	1617	45.2%	31.5%	23.3%	-0.8	4
2016-08-06	@ Odense	D 0-0	1617	1664	23.3%	31.5%	45.2%	+0.8	4
2016-08-07	Brondby	D 3-3	1758	1714	44.6%	31.8%	23.6%	-0.4	8
2016-08-07	@ Midtjylland	D 3-3	1714	1758	23.6%	31.8%	44.6%	+0.4	8
2016-08-07	Aalborg	L 1-2	1629	1698	28.1%	34.7%	37.2%	-5.1	3
2016-08-07	@ Nordsjaelland	W 2-1	1698	1629	37.2%	34.7%	28.1%	+5.1	8
2016-08-07	FC Copenhagen	D 1-1	1686	1782	25.3%	33.3%	41.4%	+0.5	2
2016-08-07	@ Sonderjyske	D 1-1	1782	1686	41.4%	33.3%	25.3%	-0.5	10
2016-08-08	Aarhus GF	D 2-2	1588	1657	28.1%	34.6%	37.3%	+0.2	1
2016-08-08	@ Esbjerg	D 2-2	1657	1588	37.3%	34.6%	28.1%	-0.2	7
2016-08-12	Aarhus GF	D 0-0	1611	1657	31.0%	35.2%	33.8%	+0.1	8
2016-08-12	@ Lyngby	D 0-0	1657	1611	33.8%	35.2%	31.0%	-0.1	8
2016-08-12	Randers	L 0-1	1617	1682	28.7%	34.8%	36.5%	-5.5	4
2016-08-12	@ Viborg	W 1-0	1682	1617	36.5%	34.8%	28.7%	+5.5	10
2016-08-13	Midtjylland	W 3-1	1782	1757	41.6%	33.2%	25.2%	+8.0	13
2016-08-13	@ FC Copenhagen	L 1-3	1757	1782	25.2%	33.2%	41.6%	-8.0	8
2016-08-13	Silkeborg	D 3-3	1571	1564	38.9%	34.2%	26.9%	-0.2	4
2016-08-13	@ Horsens	D 3-3	1564	1571	26.9%	34.2%	38.9%	+0.2	2
2016-08-14	Sonderjyske	W 4-0	1714	1687	42.1%	33.0%	24.9%	+17.3	11
2016-08-14	@ Brondby	L 0-4	1687	1714	24.9%	33.0%	42.1%	-17.3	2
2016-08-14	Nordsjaelland	W 3-1	1663	1624	44.0%	32.1%	23.9%	+7.6	7
2016-08-14	@ Odense	L 1-3	1624	1663	23.9%	32.1%	44.0%	-7.6	3
2016-08-15	Esbjerg	W 2-1	1703	1588	56.4%	24.3%	19.3%	+3.3	11
2016-08-15	@ Aalborg	L 1-2	1588	1703	19.3%	24.3%	56.4%	-3.3	1
2016-08-19	Lyngby	W 2-1	1571	1611	31.8%	35.3%	32.9%	+5.7	7
2016-08-19	@ Horsens	L 1-2	1611	1571	32.9%	35.3%	31.8%	-5.7	8
2016-08-19	Randers	D 1-1	1616	1687	27.9%	34.6%	37.5%	+0.3	4
2016-08-19	@ Nordsjaelland	D 1-1	1687	1616	37.5%	34.6%	27.9%	-0.3	11
2016-08-20	Aalborg	D 1-1	1790	1707	51.1%	28.0%	20.9%	-1.0	14
2016-08-20	@ FC Copenhagen	D 1-1	1707	1790	20.9%	28.0%	51.1%	+1.0	12
2016-08-21	Brondby	L 0-7	1657	1732	27.5%	34.5%	38.0%	-32.0	8
2016-08-21	@ Aarhus GF	W 7-0	1732	1657	38.0%	34.5%	27.5%	+32.0	14
2016-08-21	Sonderjyske	D 2-2	1749	1669	50.5%	28.3%	21.1%	-0.7	9
2016-08-21	@ Midtjylland	D 2-2	1669	1749	21.1%	28.3%	50.5%	+0.7	3
2016-08-21	Viborg	L 1-5	1564	1612	30.8%	35.2%	34.0%	-17.1	2
2016-08-21	@ Silkeborg	W 5-1	1612	1564	34.0%	35.2%	30.8%	+17.1	7
2016-08-22	Odense	W 3-2	1585	1671	26.3%	33.9%	39.8%	+6.1	4
2016-08-22	@ Esbjerg	L 2-3	1671	1585	39.8%	33.9%	26.3%	-6.1	7
2016-08-26	Nordsjaelland	L 0-1	1605	1616	36.1%	34.9%	29.0%	-6.4	8
2016-08-26	@ Lyngby	W 1-0	1616	1605	29.0%	34.9%	36.1%	+6.4	7
2016-08-26	Silkeborg	W 1-0	1687	1547	60.4%	21.3%	18.2%	+3.2	14
2016-08-26	@ Randers	L 0-1	1547	1687	18.2%	21.3%	60.4%	-3.2	2
2016-08-28	Aarhus GF	W 2-1	1708	1625	50.9%	28.1%	21.0%	+3.8	15
2016-08-28	@ Aalborg	L 1-2	1625	1708	21.0%	28.1%	50.9%	-3.8	8
2016-08-28	FC Copenhagen	D 1-1	1764	1789	34.0%	35.2%	30.8%	-0.1	15
2016-08-28	@ Brondby	D 1-1	1789	1764	30.8%	35.2%	34.0%	+0.1	15
2016-08-28	Horsens	L 0-1	1665	1576	51.9%	27.4%	20.7%	-8.0	7
2016-08-28	@ Odense	W 1-0	1576	1665	20.7%	27.4%	51.9%	+8.0	10
2016-08-28	Esbjerg	D 1-1	1670	1591	50.5%	28.4%	21.2%	-1.0	4
2016-08-28	@ Sonderjyske	D 1-1	1591	1670	21.2%	28.4%	50.5%	+1.0	5
2016-08-28	Midtjylland	D 0-0	1629	1749	23.4%	31.6%	45.1%	+0.8	8
2016-08-28	@ Viborg	D 0-0	1749	1629	45.1%	31.6%	23.4%	-0.8	10
2016-09-09	Esbjerg	W 3-0	1748	1592	63.1%	19.4%	17.6%	+8.0	13
2016-09-09	@ Midtjylland	L 0-3	1592	1748	17.6%	19.4%	63.1%	-8.0	5
2016-09-09	Lyngby	W 2-0	1690	1599	52.4%	27.1%	20.5%	+7.2	17
2016-09-09	@ Randers	L 0-2	1599	1690	20.5%	27.1%	52.4%	-7.2	8
2016-09-10	Odense	W 2-0	1789	1657	59.2%	22.3%	18.6%	+6.1	18
2016-09-10	@ FC Copenhagen	L 0-2	1657	1789	18.6%	22.3%	59.2%	-6.1	7
2016-09-10	Horsens	L 2-4	1630	1584	45.0%	31.6%	23.4%	-10.7	8
2016-09-10	@ Viborg	W 4-2	1584	1630	23.4%	31.6%	45.0%	+10.7	13
2016-09-11	Brondby	L 0-1	1711	1764	30.2%	35.1%	34.7%	-5.7	15
2016-09-11	@ Aalborg	W 1-0	1764	1711	34.7%	35.1%	30.2%	+5.7	18
2016-09-11	Silkeborg	D 2-2	1669	1544	58.0%	23.1%	18.9%	-1.0	5
2016-09-11	@ Sonderjyske	D 2-2	1544	1669	18.9%	23.1%	58.0%	+1.0	3
2016-09-12	Nordsjaelland	W 3-1	1621	1623	37.6%	34.6%	27.8%	+8.7	11
2016-09-12	@ Aarhus GF	L 1-3	1623	1621	27.8%	34.6%	37.6%	-8.7	7
2016-09-16	Randers	D 1-1	1584	1697	23.8%	32.0%	44.2%	+0.7	6
2016-09-16	@ Esbjerg	D 1-1	1697	1584	44.2%	32.0%	23.8%	-0.7	18
2016-09-17	Aarhus GF	W 1-0	1545	1630	26.4%	34.0%	39.6%	+6.8	6
2016-09-17	@ Silkeborg	L 0-1	1630	1545	39.6%	34.0%	26.4%	-6.8	11
2016-09-18	Viborg	L 1-2	1769	1619	62.1%	20.1%	17.8%	-8.3	18
2016-09-18	@ Brondby	W 2-1	1619	1769	17.8%	20.1%	62.1%	+8.3	11
2016-09-18	FC Copenhagen	L 0-2	1595	1795	18.8%	22.9%	58.3%	-6.3	13
2016-09-18	@ Horsens	W 2-0	1795	1595	58.3%	22.9%	18.8%	+6.3	21
2016-09-18	Sonderjyske	L 2-3	1614	1668	30.0%	35.1%	34.9%	-5.0	7
2016-09-18	@ Nordsjaelland	W 3-2	1668	1614	34.9%	35.1%	30.0%	+5.0	8
2016-09-18	Midtjylland	L 0-1	1651	1756	24.5%	32.7%	42.8%	-4.8	7
2016-09-18	@ Odense	W 1-0	1756	1651	42.8%	32.7%	24.5%	+4.8	16
2016-09-19	Aalborg	W 1-0	1592	1706	23.8%	32.0%	44.2%	+7.2	11
2016-09-19	@ Lyngby	L 0-1	1706	1592	44.2%	32.0%	23.8%	-7.2	15
2016-09-20	Silkeborg	D 0-0	1584	1552	42.9%	32.6%	24.5%	-0.7	7
2016-09-20	@ Esbjerg	D 0-0	1552	1584	24.5%	32.6%	42.9%	+0.7	7
2016-09-21	Midtjylland	D 1-1	1623	1761	22.1%	29.9%	47.9%	+0.9	12
2016-09-21	@ Aarhus GF	D 1-1	1761	1623	47.9%	29.9%	22.1%	-0.9	17
2016-09-21	Nordsjaelland	D 0-0	1589	1609	34.8%	35.1%	30.1%	-0.2	14
2016-09-21	@ Horsens	D 0-0	1609	1589	30.1%	35.1%	34.8%	+0.2	8
2016-09-21	FC Copenhagen	D 2-2	1697	1801	24.6%	32.7%	42.7%	+0.4	19
2016-09-21	@ Randers	D 2-2	1801	1697	42.7%	32.7%	24.6%	-0.5	22
2016-09-22	Viborg	W 1-0	1698	1628	49.0%	29.3%	21.7%	+4.1	18
2016-09-22	@ Aalborg	L 0-1	1628	1698	21.7%	29.3%	49.0%	-4.2	11
2016-09-22	Brondby	W 1-0	1599	1761	20.6%	27.4%	52.0%	+8.0	14
2016-09-22	@ Lyngby	L 0-1	1761	1599	52.0%	27.4%	20.6%	-8.0	18
2016-09-22	Odense	W 1-0	1673	1646	42.0%	33.0%	24.9%	+4.8	11
2016-09-22	@ Sonderjyske	L 0-1	1646	1673	24.9%	33.0%	42.0%	-4.9	7
2016-09-24	Aarhus GF	W 2-0	1801	1624	66.4%	16.9%	16.7%	+5.1	25
2016-09-24	@ FC Copenhagen	L 0-2	1624	1801	16.7%	16.9%	66.4%	-5.1	12
2016-09-25	Odense	W 3-0	1753	1641	55.8%	24.7%	19.5%	+9.7	21
2016-09-25	@ Brondby	L 0-3	1641	1753	19.5%	24.7%	55.8%	-9.7	7
2016-09-25	Horsens	W 5-2	1760	1588	65.5%	17.6%	17.0%	+5.5	20
2016-09-25	@ Midtjylland	L 2-5	1588	1760	17.0%	17.6%	65.5%	-5.5	14
2016-09-25	Esbjerg	W 3-0	1609	1584	41.8%	33.1%	25.1%	+13.4	11
2016-09-25	@ Nordsjaelland	L 0-3	1584	1609	25.1%	33.1%	41.8%	-13.4	7
2016-09-25	Sonderjyske	L 0-4	1697	1678	40.8%	33.6%	25.7%	-24.6	19
2016-09-25	@ Randers	W 4-0	1678	1697	25.7%	33.6%	40.8%	+24.6	14
2016-09-25	Lyngby	L 0-1	1623	1607	40.3%	33.7%	25.9%	-6.8	11
2016-09-25	@ Viborg	W 1-0	1607	1623	25.9%	33.7%	40.3%	+6.8	17
2016-09-26	Aalborg	W 5-3	1552	1703	21.3%	28.6%	50.0%	+10.8	10
2016-09-26	@ Silkeborg	L 3-5	1703	1552	50.0%	28.6%	21.3%	-10.8	18
2016-09-30	Aarhus GF	W 2-1	1631	1619	39.7%	33.9%	26.4%	+4.8	10
2016-09-30	@ Odense	L 1-2	1619	1631	26.4%	33.9%	39.7%	-4.8	12
2016-09-30	Nordsjaelland	D 2-2	1563	1622	29.3%	35.0%	35.7%	+0.2	11
2016-09-30	@ Silkeborg	D 2-2	1622	1563	35.7%	35.0%	29.3%	-0.2	12
2016-10-01	Esbjerg	W 1-0	1583	1570	39.8%	33.9%	26.3%	+5.1	17
2016-10-01	@ Horsens	L 0-1	1570	1583	26.3%	33.9%	39.8%	-5.1	7
2016-10-02	Sonderjyske	L 0-1	1692	1703	36.1%	34.9%	28.9%	-6.4	18
2016-10-02	@ Aalborg	W 1-0	1703	1692	28.9%	34.9%	36.1%	+6.4	17
2016-10-02	Randers	D 2-2	1763	1673	52.2%	27.2%	20.6%	-0.8	22
2016-10-02	@ Brondby	D 2-2	1673	1763	20.6%	27.2%	52.2%	+0.8	20
2016-10-02	Midtjylland	W 1-0	1614	1765	21.2%	28.5%	50.3%	+7.8	20
2016-10-02	@ Lyngby	L 0-1	1765	1614	50.3%	28.5%	21.2%	-7.8	20
2016-10-02	FC Copenhagen	D 0-0	1617	1806	19.3%	24.2%	56.5%	+1.4	12
2016-10-02	@ Viborg	D 0-0	1806	1617	56.5%	24.2%	19.3%	-1.4	26
2016-10-14	Horsens	D 1-1	1614	1588	41.9%	33.1%	25.0%	-0.5	13
2016-10-14	@ Aarhus GF	D 1-1	1588	1614	25.0%	33.1%	41.9%	+0.5	18
2016-10-14	Viborg	W 1-0	1709	1618	52.4%	27.1%	20.5%	+3.9	20
2016-10-14	@ Sonderjyske	L 0-1	1618	1709	20.5%	27.1%	52.4%	-3.9	12
2016-10-15	Silkeborg	W 2-0	1805	1563	75.9%	10.1%	14.0%	+3.8	29
2016-10-15	@ FC Copenhagen	L 0-2	1563	1805	14.0%	10.1%	75.9%	-3.8	11
2016-10-16	Aalborg	W 2-0	1757	1685	49.2%	29.2%	21.6%	+7.8	23
2016-10-16	@ Midtjylland	L 0-2	1685	1757	21.6%	29.2%	49.2%	-7.8	18
2016-10-16	Brondby	D 1-1	1622	1762	22.0%	29.7%	48.3%	+0.9	13
2016-10-16	@ Nordsjaelland	D 1-1	1762	1622	48.3%	29.7%	22.0%	-0.9	23
2016-10-16	Odense	W 3-0	1673	1636	43.6%	32.3%	24.1%	+12.8	23
2016-10-16	@ Randers	L 0-3	1636	1673	24.1%	32.3%	43.6%	-12.8	10
2016-10-17	Lyngby	D 2-2	1565	1622	29.7%	35.0%	35.3%	+0.1	8
2016-10-17	@ Esbjerg	D 2-2	1622	1565	35.3%	35.0%	29.7%	-0.1	21
2016-10-21	Nordsjaelland	D 1-1	1678	1623	46.4%	30.9%	22.8%	-0.8	19
2016-10-21	@ Aalborg	D 1-1	1623	1678	22.8%	30.9%	46.4%	+0.8	14
2016-10-21	Silkeborg	L 1-3	1614	1559	46.4%	30.8%	22.8%	-12.2	12
2016-10-21	@ Viborg	W 3-1	1559	1614	22.8%	30.8%	46.4%	+12.2	14
2016-10-22	Sonderjyske	W 2-0	1621	1713	25.8%	33.6%	40.6%	+12.9	24
2016-10-22	@ Lyngby	L 0-2	1713	1621	40.6%	33.6%	25.8%	-12.9	20
2016-10-23	Aarhus GF	W 1-0	1761	1614	61.6%	20.4%	17.9%	+3.0	26
2016-10-23	@ Brondby	L 0-1	1614	1761	17.9%	20.4%	61.6%	-3.1	13
2016-10-23	Randers	W 1-0	1589	1686	25.2%	33.2%	41.6%	+7.0	21
2016-10-23	@ Horsens	L 0-1	1686	1589	41.6%	33.2%	25.2%	-7.0	23
2016-10-23	FC Copenhagen	L 0-3	1623	1808	19.5%	24.7%	55.8%	-9.7	10
2016-10-23	@ Odense	W 3-0	1808	1623	55.8%	24.7%	19.5%	+9.7	32
2016-10-24	Midtjylland	L 1-3	1565	1765	18.8%	22.9%	58.3%	-5.4	8
2016-10-24	@ Esbjerg	W 3-1	1765	1565	58.3%	22.9%	18.8%	+5.4	26
2016-10-28	Viborg	W 4-3	1624	1602	41.2%	33.4%	25.4%	+4.3	17
2016-10-28	@ Nordsjaelland	L 3-4	1602	1624	25.4%	33.4%	41.2%	-4.3	12
2016-10-28	Odense	D 1-1	1572	1614	31.6%	35.3%	33.1%	+0.0	15
2016-10-28	@ Silkeborg	D 1-1	1614	1572	33.1%	35.3%	31.6%	-0.0	11
2016-10-29	Randers	L 0-2	1634	1679	31.2%	35.2%	33.6%	-10.9	24
2016-10-29	@ Lyngby	W 2-0	1679	1634	33.6%	35.2%	31.2%	+10.9	26
2016-10-30	Aalborg	W 2-0	1764	1677	51.7%	27.5%	20.7%	+7.4	29
2016-10-30	@ Brondby	L 0-2	1677	1764	20.7%	27.5%	51.7%	-7.4	19
2016-10-30	FC Copenhagen	L 1-3	1771	1818	30.9%	35.2%	33.9%	-9.4	26
2016-10-30	@ Midtjylland	W 3-1	1818	1771	33.9%	35.2%	30.9%	+9.4	35
2016-10-30	Horsens	W 2-0	1700	1596	54.5%	25.6%	19.9%	+6.9	23
2016-10-30	@ Sonderjyske	L 0-2	1596	1700	19.9%	25.6%	54.5%	-6.9	21
2016-10-31	Esbjerg	W 6-2	1611	1560	45.8%	31.2%	23.0%	+11.3	16
2016-10-31	@ Aarhus GF	L 2-6	1560	1611	23.0%	31.2%	45.8%	-11.3	8
2016-11-04	Silkeborg	D 0-0	1622	1572	45.7%	31.2%	23.1%	-0.8	17
2016-11-04	@ Aarhus GF	D 0-0	1572	1622	23.1%	31.2%	45.7%	+0.8	16
2016-11-04	Aalborg	W 3-0	1548	1669	23.3%	31.4%	45.3%	+20.1	11
2016-11-04	@ Esbjerg	L 0-3	1669	1548	45.3%	31.4%	23.3%	-20.1	19
2016-11-05	Nordsjaelland	W 2-1	1690	1628	47.6%	30.1%	22.3%	+4.0	29
2016-11-05	@ Randers	L 1-2	1628	1690	22.3%	30.1%	47.6%	-4.0	17
2016-11-06	Sonderjyske	W 4-0	1828	1707	57.2%	23.7%	19.1%	+12.2	38
2016-11-06	@ FC Copenhagen	L 0-4	1707	1828	19.1%	23.7%	57.2%	-12.2	23
2016-11-06	Midtjylland	L 1-5	1589	1761	20.1%	26.2%	53.7%	-11.1	21
2016-11-06	@ Horsens	W 5-1	1761	1589	53.7%	26.2%	20.1%	+11.1	29
2016-11-06	Lyngby	L 1-2	1614	1623	36.3%	34.9%	28.8%	-6.0	11
2016-11-06	@ Odense	W 2-1	1623	1614	28.8%	34.9%	36.3%	+6.0	27
2016-11-06	Brondby	L 1-2	1598	1771	20.0%	26.0%	53.9%	-3.5	12
2016-11-06	@ Viborg	W 2-1	1771	1598	53.9%	26.0%	20.0%	+3.5	32
2016-11-18	FC Copenhagen	L 1-2	1649	1840	19.2%	24.1%	56.7%	-3.3	19
2016-11-18	@ Aalborg	W 2-1	1840	1649	56.7%	24.1%	19.2%	+3.3	41
2016-11-18	Horsens	L 0-1	1629	1578	46.0%	31.1%	23.0%	-7.4	27
2016-11-18	@ Lyngby	W 1-0	1578	1629	23.0%	31.1%	46.0%	+7.4	24
2016-11-19	Aarhus GF	W 3-2	1624	1621	38.3%	34.4%	27.3%	+4.7	20
2016-11-19	@ Nordsjaelland	L 2-3	1621	1624	27.3%	34.4%	38.3%	-4.7	17
2016-11-20	Brondby	W 1-0	1607	1775	20.4%	26.8%	52.9%	+8.1	14
2016-11-20	@ Odense	L 0-1	1775	1607	52.9%	26.8%	20.4%	-8.1	32
2016-11-20	Viborg	W 2-1	1694	1594	53.8%	26.1%	20.1%	+3.5	32
2016-11-20	@ Randers	L 1-2	1594	1694	20.1%	26.1%	53.8%	-3.5	12
2016-11-20	Midtjylland	W 1-0	1695	1772	27.2%	34.3%	38.5%	+6.6	26
2016-11-20	@ Sonderjyske	L 0-1	1772	1695	38.5%	34.3%	27.2%	-6.6	29
2016-11-21	Esbjerg	W 3-0	1573	1569	38.4%	34.4%	27.2%	+14.4	19
2016-11-21	@ Silkeborg	L 0-3	1569	1573	27.2%	34.4%	38.4%	-14.4	11
2016-11-25	Randers	W 2-1	1646	1698	30.3%	35.1%	34.6%	+5.8	22
2016-11-25	@ Aalborg	L 1-2	1698	1646	34.6%	35.1%	30.3%	-5.8	32
2016-11-25	Aarhus GF	L 1-5	1585	1616	33.1%	35.3%	31.6%	-18.0	24
2016-11-25	@ Horsens	W 5-1	1616	1585	31.6%	35.3%	33.1%	+17.9	20
2016-11-26	FC Copenhagen	L 0-1	1622	1843	17.9%	20.4%	61.7%	-3.0	27
2016-11-26	@ Lyngby	W 1-0	1843	1622	61.7%	20.4%	17.9%	+3.0	44
2016-11-26	Sonderjyske	D 2-2	1591	1701	24.1%	32.3%	43.6%	+0.5	13
2016-11-26	@ Viborg	D 2-2	1701	1591	43.6%	32.3%	24.1%	-0.5	27
2016-11-27	Silkeborg	W 3-1	1767	1587	66.9%	16.5%	16.6%	+4.3	35
2016-11-27	@ Brondby	L 1-3	1587	1767	16.6%	16.5%	66.9%	-4.3	19
2016-11-27	Nordsjaelland	D 2-2	1554	1629	27.5%	34.5%	38.0%	+0.2	12
2016-11-27	@ Esbjerg	D 2-2	1629	1554	38.0%	34.5%	27.5%	-0.2	21
2016-11-28	Odense	W 1-0	1766	1616	62.1%	20.1%	17.8%	+3.0	32
2016-11-28	@ Midtjylland	L 0-1	1616	1766	17.8%	20.1%	62.1%	-3.0	14
2016-11-29	Lyngby	L 0-1	1634	1619	40.2%	33.8%	26.1%	-6.8	20
2016-11-29	@ Aarhus GF	W 1-0	1619	1634	26.1%	33.8%	40.2%	+6.8	30
2016-11-29	Viborg	W 4-0	1846	1591	77.7%	8.9%	13.4%	+6.7	47
2016-11-29	@ FC Copenhagen	L 0-4	1591	1846	13.4%	8.9%	77.7%	-6.7	13
2016-11-29	Aalborg	D 1-1	1701	1652	45.5%	31.4%	23.2%	-0.7	28
2016-11-29	@ Sonderjyske	D 1-1	1652	1701	23.2%	31.4%	45.5%	+0.7	23
2016-11-30	Horsens	W 2-1	1629	1567	47.5%	30.2%	22.3%	+4.1	24
2016-11-30	@ Nordsjaelland	L 1-2	1567	1629	22.3%	30.2%	47.5%	-4.0	24
2016-11-30	Brondby	L 0-1	1692	1771	27.0%	34.2%	38.7%	-5.2	32
2016-11-30	@ Randers	W 1-0	1771	1692	38.7%	34.2%	27.0%	+5.2	38
2016-12-01	Esbjerg	L 0-1	1613	1554	47.0%	30.5%	22.5%	-7.5	14
2016-12-01	@ Odense	W 1-0	1554	1613	22.5%	30.5%	47.0%	+7.5	15
2016-12-01	Midtjylland	W 2-1	1583	1769	19.4%	24.6%	56.0%	+7.9	22
2016-12-01	@ Silkeborg	L 1-2	1769	1583	56.0%	24.6%	19.4%	-7.9	32
2016-12-03	Randers	W 1-0	1853	1687	64.6%	18.2%	17.2%	+2.8	50
2016-12-03	@ FC Copenhagen	L 0-1	1687	1853	17.2%	18.2%	64.6%	-2.8	32
2016-12-03	Viborg	L 1-2	1563	1584	34.6%	35.1%	30.3%	-5.8	24
2016-12-03	@ Horsens	W 2-1	1584	1563	30.3%	35.1%	34.6%	+5.8	16
2016-12-04	Brondby	D 1-1	1562	1776	18.2%	21.2%	60.6%	+1.4	16
2016-12-04	@ Esbjerg	D 1-1	1776	1562	60.6%	21.2%	18.2%	-1.5	39
2016-12-04	Aarhus GF	L 0-1	1761	1628	59.3%	22.1%	18.5%	-8.6	32
2016-12-04	@ Midtjylland	W 1-0	1628	1761	18.5%	22.1%	59.3%	+8.6	23
2016-12-04	Odense	L 0-1	1633	1605	42.1%	33.0%	24.9%	-7.0	24
2016-12-04	@ Nordsjaelland	W 1-0	1605	1633	24.9%	33.0%	42.1%	+7.0	17
2016-12-05	Lyngby	W 1-0	1653	1626	42.0%	33.1%	25.0%	+4.9	26
2016-12-05	@ Aalborg	L 0-1	1626	1653	25.0%	33.1%	42.0%	-4.9	30
2016-12-05	Sonderjyske	D 1-1	1590	1700	24.2%	32.4%	43.5%	+0.6	23
2016-12-05	@ Silkeborg	D 1-1	1700	1590	43.5%	32.4%	24.2%	-0.6	29
2016-12-09	Aalborg	W 3-0	1557	1658	24.9%	33.0%	42.0%	+19.2	27
2016-12-09	@ Horsens	L 0-3	1658	1557	42.0%	33.0%	24.9%	-19.2	26
2016-12-09	Nordsjaelland	D 0-0	1699	1626	49.5%	29.0%	21.5%	-1.1	30
2016-12-09	@ Sonderjyske	D 0-0	1626	1699	21.5%	29.0%	49.5%	+1.0	25
2016-12-10	Silkeborg	D 1-1	1621	1591	42.4%	32.9%	24.7%	-0.6	31
2016-12-10	@ Lyngby	D 1-1	1591	1621	24.7%	32.9%	42.4%	+0.6	24
2016-12-11	FC Copenhagen	L 0-1	1636	1856	18.0%	20.6%	61.4%	-3.1	23
2016-12-11	@ Aarhus GF	W 1-0	1856	1636	61.4%	20.6%	18.0%	+3.1	53
2016-12-11	Midtjylland	W 2-1	1775	1752	41.3%	33.3%	25.4%	+4.7	42
2016-12-11	@ Brondby	L 1-2	1752	1775	25.4%	33.3%	41.3%	-4.6	32
2016-12-11	Esbjerg	L 0-2	1684	1563	57.2%	23.7%	19.1%	-15.9	32
2016-12-11	@ Randers	W 2-0	1563	1684	19.1%	23.7%	57.2%	+15.9	19
2016-12-12	Odense	D 1-1	1590	1612	34.5%	35.1%	30.3%	-0.1	17
2016-12-12	@ Viborg	D 1-1	1612	1590	30.3%	35.1%	34.5%	+0.1	18
2017-02-17	Sonderjyske	W 3-0	1579	1698	23.4%	31.6%	45.0%	+20.0	22
2017-02-17	@ Esbjerg	L 0-3	1698	1579	45.0%	31.6%	23.4%	-20.0	30
2017-02-17	Lyngby	L 0-1	1627	1620	38.8%	34.2%	27.0%	-6.7	25
2017-02-17	@ Nordsjaelland	W 1-0	1620	1627	27.0%	34.2%	38.8%	+6.7	34
2017-02-18	Horsens	W 1-0	1592	1576	40.2%	33.8%	26.1%	+5.0	27
2017-02-18	@ Silkeborg	L 0-1	1576	1592	26.1%	33.8%	40.2%	-5.1	27
2017-02-19	Aalborg	L 1-2	1633	1638	37.0%	34.7%	28.3%	-6.1	23
2017-02-19	@ Aarhus GF	W 2-1	1638	1633	28.3%	34.7%	37.0%	+6.1	29
2017-02-19	Brondby	D 0-0	1859	1780	50.4%	28.4%	21.2%	-1.1	54
2017-02-19	@ FC Copenhagen	D 0-0	1780	1859	21.2%	28.4%	50.4%	+1.1	43
2017-02-19	Viborg	D 0-0	1748	1590	63.3%	19.2%	17.5%	-1.7	33
2017-02-19	@ Midtjylland	D 0-0	1590	1748	17.5%	19.2%	63.3%	+1.7	18
2017-02-20	Randers	W 3-0	1612	1668	29.8%	35.1%	35.2%	+17.1	21
2017-02-20	@ Odense	L 0-3	1668	1612	35.2%	35.1%	29.8%	-17.2	32
2017-02-24	Midtjylland	L 0-2	1651	1746	25.4%	33.4%	41.2%	-9.3	32
2017-02-24	@ Randers	W 2-0	1746	1651	41.2%	33.4%	25.4%	+9.3	36
2017-02-25	Odense	D 1-1	1571	1629	29.5%	35.0%	35.5%	+0.2	28
2017-02-25	@ Horsens	D 1-1	1629	1571	35.5%	35.0%	29.5%	-0.2	22
2017-02-26	Silkeborg	W 3-0	1644	1597	45.3%	31.4%	23.3%	+12.4	32
2017-02-26	@ Aalborg	L 0-3	1597	1644	23.3%	31.4%	45.3%	-12.4	27
2017-02-26	FC Copenhagen	D 1-1	1620	1858	17.2%	18.4%	64.4%	+1.6	26
2017-02-26	@ Nordsjaelland	D 1-1	1858	1620	64.4%	18.4%	17.2%	-1.6	55
2017-02-26	Brondby	L 1-2	1678	1781	24.8%	32.9%	42.3%	-4.5	30
2017-02-26	@ Sonderjyske	W 2-1	1781	1678	42.3%	32.9%	24.8%	+4.5	46
2017-02-27	Esbjerg	D 0-0	1627	1599	42.1%	33.0%	24.9%	-0.6	35
2017-02-27	@ Lyngby	D 0-0	1599	1627	24.9%	33.0%	42.1%	+0.6	23
2017-02-27	Aarhus GF	D 1-1	1592	1627	32.6%	35.3%	32.2%	-0.0	19
2017-02-27	@ Viborg	D 1-1	1627	1592	32.2%	35.3%	32.6%	+0.0	24
2017-03-03	Viborg	L 1-3	1600	1592	39.1%	34.2%	26.8%	-10.9	23
2017-03-03	@ Esbjerg	W 3-1	1592	1600	26.8%	34.2%	39.1%	+10.9	22
2017-03-03	Lyngby	D 1-1	1755	1626	58.6%	22.7%	18.7%	-1.4	37
2017-03-03	@ Midtjylland	D 1-1	1626	1755	18.7%	22.7%	58.6%	+1.4	36
2017-03-04	Sonderjyske	L 1-2	1627	1674	30.9%	35.2%	33.8%	-5.4	24
2017-03-04	@ Aarhus GF	W 2-1	1674	1627	33.8%	35.2%	30.9%	+5.4	33
2017-03-05	Nordsjaelland	L 2-3	1785	1622	64.3%	18.5%	17.3%	-8.1	46
2017-03-05	@ Brondby	W 3-2	1622	1785	17.3%	18.5%	64.3%	+8.1	29
2017-03-05	Horsens	W 5-0	1856	1571	81.3%	6.7%	12.0%	+7.1	58
2017-03-05	@ FC Copenhagen	L 0-5	1571	1856	12.0%	6.7%	81.3%	-7.1	28
2017-03-05	Randers	W 2-0	1584	1641	29.6%	35.0%	35.4%	+11.9	30
2017-03-05	@ Silkeborg	L 0-2	1641	1584	35.4%	35.0%	29.6%	-11.8	32
2017-03-06	Aalborg	W 4-0	1629	1657	33.7%	35.2%	31.1%	+20.7	25
2017-03-06	@ Odense	L 0-4	1657	1629	31.1%	35.2%	33.7%	-20.7	32
2017-03-10	Silkeborg	W 5-1	1630	1596	43.0%	32.6%	24.4%	+14.2	32
2017-03-10	@ Nordsjaelland	L 1-5	1596	1630	24.4%	32.6%	43.0%	-14.2	30
2017-03-10	Aarhus GF	D 1-1	1630	1622	39.0%	34.2%	26.8%	-0.4	33
2017-03-10	@ Randers	D 1-1	1622	1630	26.8%	34.2%	39.0%	+0.4	25
2017-03-11	Viborg	W 1-0	1628	1603	41.7%	33.2%	25.1%	+4.9	39
2017-03-11	@ Lyngby	L 0-1	1603	1628	25.1%	33.2%	41.7%	-4.9	22
2017-03-12	Esbjerg	W 2-0	1863	1589	80.1%	7.4%	12.5%	+3.2	61
2017-03-12	@ FC Copenhagen	L 0-2	1589	1863	12.5%	7.4%	80.1%	-3.2	23
2017-03-12	Brondby	L 0-2	1564	1777	18.3%	21.4%	60.4%	-5.9	28
2017-03-12	@ Horsens	W 2-0	1777	1564	60.4%	21.4%	18.3%	+6.0	49
2017-03-12	Sonderjyske	L 0-1	1650	1679	33.4%	35.2%	31.3%	-6.1	25
2017-03-12	@ Odense	W 1-0	1679	1650	31.3%	35.2%	33.4%	+6.1	36
2017-03-13	Midtjylland	D 1-1	1636	1754	23.5%	31.7%	44.8%	+0.7	33
2017-03-13	@ Aalborg	D 1-1	1754	1636	44.8%	31.7%	23.5%	-0.7	38
2017-03-19	Odense	L 1-2	1622	1644	34.5%	35.1%	30.3%	-5.8	25
2017-03-19	@ Aarhus GF	W 2-1	1644	1622	30.3%	35.1%	34.5%	+5.8	28
2017-03-19	Lyngby	W 3-2	1783	1633	62.2%	20.1%	17.8%	+2.7	52
2017-03-19	@ Brondby	L 2-3	1633	1783	17.8%	20.1%	62.2%	-2.7	39
2017-03-19	Horsens	D 1-1	1586	1558	42.1%	33.0%	24.9%	-0.6	24
2017-03-19	@ Esbjerg	D 1-1	1558	1586	24.9%	33.0%	42.1%	+0.6	29
2017-03-19	Nordsjaelland	L 1-2	1753	1644	55.4%	25.0%	19.6%	-7.8	38
2017-03-19	@ Midtjylland	W 2-1	1644	1753	19.6%	25.0%	55.4%	+7.8	35
2017-03-19	FC Copenhagen	L 1-3	1582	1866	15.3%	13.1%	71.6%	-3.8	30
2017-03-19	@ Silkeborg	W 3-1	1866	1582	71.6%	13.1%	15.3%	+3.8	64
2017-03-19	Randers	W 1-0	1685	1629	46.6%	30.7%	22.7%	+4.4	39
2017-03-19	@ Sonderjyske	L 0-1	1629	1685	22.7%	30.7%	46.6%	-4.4	33
2017-03-19	Aalborg	W 2-1	1598	1637	32.0%	35.3%	32.7%	+5.6	25
2017-03-19	@ Viborg	L 1-2	1637	1598	32.7%	35.3%	32.0%	-5.6	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	Odense	D 0-0	1559	1650	25.9%	33.7%	40.5%	+0.5	1
2017-03-31	@ Horsens	D 0-0	1650	1559	40.5%	33.7%	25.9%	-0.5	1
2017-03-31	Lyngby	W 2-0	1652	1630	41.2%	33.4%	25.4%	+9.3	3
2017-03-31	@ Nordsjaelland	L 0-2	1630	1652	25.4%	33.4%	41.2%	-9.3	0
2017-04-01	Aalborg	D 0-0	1578	1631	30.1%	35.1%	34.8%	+0.2	1
2017-04-01	@ Silkeborg	D 0-0	1631	1578	34.8%	35.1%	30.1%	-0.2	1
2017-04-02	Midtjylland	W 3-2	1786	1745	44.1%	32.0%	23.8%	+4.2	3
2017-04-02	@ Brondby	L 2-3	1745	1786	23.8%	32.0%	44.1%	-4.1	0
2017-04-02	Randers	D 0-0	1585	1625	31.9%	35.3%	32.8%	+0.0	1
2017-04-02	@ Esbjerg	D 0-0	1625	1585	32.8%	35.3%	31.9%	-0.0	1
2017-04-02	Aarhus GF	L 2-4	1604	1616	35.9%	34.9%	29.2%	-9.3	0
2017-04-02	@ Viborg	W 4-2	1616	1604	29.2%	34.9%	35.9%	+9.3	3
2017-04-03	FC Copenhagen	L 1-2	1690	1870	19.7%	25.3%	55.0%	-3.4	0
2017-04-03	@ Sonderjyske	W 2-1	1870	1690	55.0%	25.3%	19.7%	+3.4	3
2017-04-07	Esbjerg	W 3-0	1649	1585	47.9%	30.0%	22.1%	+11.7	4
2017-04-07	@ Odense	L 0-3	1585	1649	22.1%	30.0%	47.9%	-11.7	1
2017-04-07	Horsens	W 2-0	1625	1559	48.1%	29.8%	22.0%	+8.0	4
2017-04-07	@ Randers	L 0-2	1559	1625	22.0%	29.8%	48.1%	-8.0	1
2017-04-08	Viborg	L 0-1	1631	1594	43.5%	32.3%	24.1%	-7.2	1
2017-04-08	@ Aalborg	W 1-0	1594	1631	24.1%	32.3%	43.5%	+7.2	3
2017-04-09	Nordsjaelland	D 1-1	1873	1661	71.8%	13.0%	15.2%	-1.9	4
2017-04-09	@ FC Copenhagen	D 1-1	1661	1873	15.2%	13.0%	71.8%	+1.9	4
2017-04-09	Brondby	L 1-2	1621	1790	20.3%	26.5%	53.2%	-3.6	0
2017-04-09	@ Lyngby	W 2-1	1790	1621	53.2%	26.5%	20.3%	+3.5	6
2017-04-09	Sonderjyske	W 3-1	1741	1686	46.5%	30.8%	22.7%	+7.2	3
2017-04-09	@ Midtjylland	L 1-3	1686	1741	22.7%	30.8%	46.5%	-7.2	0
2017-04-10	Silkeborg	L 1-3	1625	1578	45.2%	31.5%	23.3%	-12.0	3
2017-04-10	@ Aarhus GF	W 3-1	1578	1625	23.3%	31.5%	45.2%	+12.0	4
2017-04-14	Nordsjaelland	L 1-4	1679	1663	40.3%	33.7%	26.0%	-15.8	0
2017-04-14	@ Sonderjyske	W 4-1	1663	1679	26.0%	33.7%	40.3%	+15.8	7
2017-04-15	Horsens	L 0-1	1574	1551	41.2%	33.4%	25.4%	-6.9	1
2017-04-15	@ Esbjerg	W 1-0	1551	1574	25.4%	33.4%	41.2%	+6.9	4
2017-04-16	Midtjylland	D 2-2	1617	1748	22.5%	30.5%	47.0%	+0.6	1
2017-04-16	@ Lyngby	D 2-2	1748	1617	47.0%	30.5%	22.5%	-0.6	4
2017-04-17	Aarhus GF	W 1-0	1624	1613	39.4%	34.0%	26.6%	+5.1	4
2017-04-17	@ Aalborg	L 0-1	1613	1624	26.6%	34.0%	39.4%	-5.1	3
2017-04-17	FC Copenhagen	L 0-1	1794	1872	27.2%	34.3%	38.5%	-5.2	6
2017-04-17	@ Brondby	W 1-0	1872	1794	38.5%	34.3%	27.2%	+5.2	7
2017-04-17	Silkeborg	D 0-0	1601	1590	39.5%	34.0%	26.5%	-0.5	4
2017-04-17	@ Viborg	D 0-0	1590	1601	26.5%	34.0%	39.5%	+0.5	5
2017-04-18	Randers	W 1-0	1661	1633	42.1%	33.0%	24.9%	+4.8	7
2017-04-18	@ Odense	L 0-1	1633	1661	24.9%	33.0%	42.1%	-4.8	4
2017-04-21	Viborg	L 1-2	1591	1601	36.3%	34.9%	28.9%	-6.0	5
2017-04-21	@ Silkeborg	W 2-1	1601	1591	28.9%	34.9%	36.3%	+6.0	7
2017-04-21	Lyngby	L 1-2	1663	1618	44.9%	31.6%	23.4%	-6.9	0
2017-04-21	@ Sonderjyske	W 2-1	1618	1663	23.4%	31.6%	44.9%	+6.9	4
2017-04-22	Esbjerg	L 1-3	1558	1567	36.5%	34.8%	28.6%	-10.5	4
2017-04-22	@ Horsens	W 3-1	1567	1558	28.6%	34.8%	36.5%	+10.5	4
2017-04-23	Midtjylland	W 3-1	1877	1748	58.6%	22.7%	18.7%	+5.4	10
2017-04-23	@ FC Copenhagen	L 1-3	1748	1877	18.7%	22.7%	58.6%	-5.4	4
2017-04-23	Brondby	L 0-1	1679	1788	24.1%	32.4%	43.5%	-4.7	7
2017-04-23	@ Nordsjaelland	W 1-0	1788	1679	43.5%	32.4%	24.1%	+4.7	9
2017-04-23	Odense	W 4-0	1628	1666	32.2%	35.3%	32.5%	+21.3	7
2017-04-23	@ Randers	L 0-4	1666	1628	32.5%	35.3%	32.2%	-21.3	7
2017-04-24	Aalborg	W 4-0	1608	1629	34.7%	35.1%	30.2%	+20.3	6
2017-04-24	@ Aarhus GF	L 0-4	1629	1608	30.2%	35.1%	34.7%	-20.3	4
2017-04-28	Horsens	W 2-1	1644	1548	53.2%	26.5%	20.2%	+3.5	10
2017-04-28	@ Odense	L 1-2	1548	1644	20.2%	26.5%	53.2%	-3.6	4
2017-04-28	Esbjerg	D 0-0	1649	1577	49.2%	29.1%	21.6%	-1.0	8
2017-04-28	@ Randers	D 0-0	1577	1649	21.6%	29.1%	49.2%	+1.0	5
2017-04-29	Nordsjaelland	W 3-1	1742	1674	48.6%	29.5%	21.8%	+6.8	7
2017-04-29	@ Midtjylland	L 1-3	1674	1742	21.8%	29.5%	48.6%	-6.8	7
2017-04-30	Sonderjyske	D 1-1	1793	1656	59.9%	21.7%	18.4%	-1.4	10
2017-04-30	@ Brondby	D 1-1	1656	1793	18.4%	21.7%	59.9%	+1.4	1
2017-04-30	Lyngby	W 3-0	1882	1625	78.0%	8.7%	13.2%	+5.0	13
2017-04-30	@ FC Copenhagen	L 0-3	1625	1882	13.2%	8.7%	78.0%	-5.0	4
2017-04-30	Aalborg	D 1-1	1607	1609	37.5%	34.6%	27.9%	-0.3	8
2017-04-30	@ Viborg	D 1-1	1609	1607	27.9%	34.6%	37.5%	+0.3	5
2017-05-01	Aarhus GF	L 0-2	1585	1629	31.4%	35.2%	33.4%	-11.0	5
2017-05-01	@ Silkeborg	W 2-0	1629	1585	33.4%	35.2%	31.4%	+11.0	9
2017-05-05	FC Copenhagen	D 1-1	1667	1887	18.0%	20.5%	61.6%	+1.5	8
2017-05-05	@ Nordsjaelland	D 1-1	1887	1667	61.6%	20.5%	18.0%	-1.5	14
2017-05-07	Silkeborg	L 0-1	1609	1574	43.3%	32.5%	24.3%	-7.1	5
2017-05-07	@ Aalborg	W 1-0	1574	1609	24.3%	32.5%	43.3%	+7.1	8
2017-05-07	Viborg	W 1-0	1640	1607	42.9%	32.6%	24.4%	+4.8	12
2017-05-07	@ Aarhus GF	L 0-1	1607	1640	24.4%	32.6%	42.9%	-4.8	8
2017-05-07	Sonderjyske	W 2-0	1620	1658	32.1%	35.3%	32.6%	+11.2	7
2017-05-07	@ Lyngby	L 0-2	1658	1620	32.6%	35.3%	32.1%	-11.2	1
2017-05-07	Brondby	W 4-2	1749	1792	31.5%	35.2%	33.2%	+8.8	10
2017-05-07	@ Midtjylland	L 2-4	1792	1749	33.2%	35.2%	31.5%	-8.8	10
2017-05-08	Odense	D 1-1	1578	1648	28.1%	34.7%	37.2%	+0.3	6
2017-05-08	@ Esbjerg	D 1-1	1648	1578	37.2%	34.7%	28.1%	-0.3	11
2017-05-08	Randers	W 2-1	1544	1648	24.6%	32.8%	42.6%	+6.7	7
2017-05-08	@ Horsens	L 1-2	1648	1544	42.6%	32.8%	24.6%	-6.7	8
2017-05-12	Nordsjaelland	W 2-1	1631	1669	32.2%	35.3%	32.5%	+5.6	10
2017-05-12	@ Lyngby	L 1-2	1669	1631	32.5%	35.3%	32.2%	-5.6	8
2017-05-12	Midtjylland	W 5-2	1647	1758	24.0%	32.2%	43.8%	+14.4	4
2017-05-12	@ Sonderjyske	L 2-5	1758	1647	43.8%	32.2%	24.0%	-14.4	10
2017-05-14	Brondby	W 1-0	1886	1783	54.3%	25.8%	19.9%	+3.7	17
2017-05-14	@ FC Copenhagen	L 0-1	1783	1886	19.9%	25.8%	54.3%	-3.7	10
2017-05-16	Sonderjyske	W 4-1	1663	1661	38.1%	34.4%	27.5%	+12.2	11
2017-05-16	@ Nordsjaelland	L 1-4	1661	1663	27.5%	34.4%	38.1%	-12.2	4
2017-05-17	FC Copenhagen	W 3-2	1744	1889	21.6%	29.1%	49.3%	+6.9	13
2017-05-17	@ Midtjylland	L 2-3	1889	1744	49.3%	29.1%	21.6%	-6.9	17
2017-05-18	Lyngby	L 0-2	1779	1636	60.9%	21.0%	18.1%	-16.5	10
2017-05-18	@ Brondby	W 2-0	1636	1779	18.1%	21.0%	60.9%	+16.5	13
2017-05-20	Midtjylland	L 2-3	1675	1751	27.4%	34.4%	38.1%	-4.7	11
2017-05-20	@ Nordsjaelland	W 3-2	1751	1675	38.1%	34.4%	27.4%	+4.7	16
2017-05-21	FC Copenhagen	W 3-1	1653	1882	17.6%	19.3%	63.1%	+14.6	16
2017-05-21	@ Lyngby	L 1-3	1882	1653	63.1%	19.3%	17.6%	-14.6	17
2017-05-21	Brondby	W 3-0	1649	1763	23.8%	32.0%	44.2%	+19.8	7
2017-05-21	@ Sonderjyske	L 0-3	1763	1649	44.2%	32.0%	23.8%	-19.8	10
2017-05-28	Nordsjaelland	L 1-2	1743	1670	49.3%	29.1%	21.6%	-7.3	10
2017-05-28	@ Brondby	W 2-1	1670	1743	21.6%	29.1%	49.3%	+7.3	14
2017-05-28	Sonderjyske	W 2-0	1868	1669	69.9%	14.4%	15.8%	+4.6	20
2017-05-28	@ FC Copenhagen	L 0-2	1669	1868	15.8%	14.4%	69.9%	-4.6	7
2017-05-28	Lyngby	L 0-3	1755	1667	51.8%	27.5%	20.7%	-21.8	16
2017-05-28	@ Midtjylland	W 3-0	1667	1755	20.7%	27.5%	51.8%	+21.8	19

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 W-L.

Date	Opponent	Score	Pre Elo	Opp Elo	Win %	Tie %	Loss %	Elo Δ	Record
2017-05-12	Horsens	W 3-0	1602	1551	45.8%	31.2%	23.0%	+12.2	1-0
2017-05-12	@ Viborg	L 0-3	1551	1602	23.0%	31.2%	45.8%	-12.2	0-1
2017-05-12	Randers	L 0-2	1602	1642	31.9%	35.3%	32.8%	-11.1	0-1
2017-05-12	@ Aalborg	W 2-0	1642	1602	32.8%	35.3%	31.9%	+11.1	1-0
2017-05-13	Silkeborg	W 3-1	1648	1581	48.3%	29.7%	22.0%	+6.9	1-0
2017-05-13	@ Odense	L 1-3	1581	1648	22.0%	29.7%	48.3%	-6.9	0-1
2017-05-14	Aarhus GF	D 0-0	1579	1644	28.5%	34.8%	36.7%	+0.3	0-0-1
2017-05-14	@ Esbjerg	D 0-0	1644	1579	36.7%	34.8%	28.5%	-0.3	0-0-1
2017-05-16	Viborg	W 1-0	1539	1614	27.5%	34.4%	38.1%	+6.6	1-1
2017-05-16	@ Horsens	L 0-1	1614	1539	38.1%	34.4%	27.5%	-6.6	1-1
2017-05-16	Odense	W 2-1	1574	1654	26.9%	34.2%	38.9%	+6.3	1-1
2017-05-16	@ Silkeborg	L 1-2	1654	1574	38.9%	34.2%	26.9%	-6.3	1-1
2017-05-17	Esbjerg	W 3-1	1644	1579	48.1%	29.8%	22.0%	+6.9	1-0-1
2017-05-17	@ Aarhus GF	L 1-3	1579	1644	22.0%	29.8%	48.1%	-6.9	0-1-1
2017-05-17	Aalborg	W 2-1	1653	1591	47.6%	30.2%	22.3%	+4.0	2-0
2017-05-17	@ Randers	L 1-2	1591	1653	22.3%	30.2%	47.6%	-4.0	0-2
2017-05-20	Horsens	D 1-1	1572	1545	41.9%	33.1%	25.0%	-0.5	0-1-2
2017-05-20	@ Esbjerg	D 1-1	1545	1572	25.0%	33.1%	41.9%	+0.5	1-1-1
2017-05-20	Randers	D 1-1	1648	1657	36.5%	34.8%	28.7%	-0.2	1-1-1
2017-05-20	@ Odense	D 1-1	1657	1648	28.7%	34.8%	36.5%	+0.2	2-0-1
2017-05-22	Aarhus GF	D 2-2	1608	1651	31.4%	35.2%	33.3%	+0.0	1-1-1
2017-05-22	@ Viborg	D 2-2	1651	1608	33.3%	35.2%	31.4%	-0.0	1-0-2
2017-05-28	Viborg	W 1-0	1651	1608	44.6%	31.8%	23.6%	+4.6	2-0-2
2017-05-28	@ Aarhus GF	L 0-1	1608	1651	23.6%	31.8%	44.6%	-4.6	1-2-1
2017-05-28	Esbjerg	W 3-2	1546	1571	34.0%	35.2%	30.8%	+5.1	2-1-1
2017-05-28	@ Horsens	L 2-3	1571	1546	30.8%	35.2%	34.0%	-5.1	0-2-2
2017-05-29	Odense	W 2-0	1657	1648	39.2%	34.1%	26.7%	+9.7	3-0-1
2017-05-29	@ Randers	L 0-2	1648	1657	26.7%	34.1%	39.2%	-9.7	1-2-1
2017-05-31	Viborg	D 1-1	1519	1603	26.5%	34.0%	39.5%	+0.4	0-0-1
2017-05-31	@ Helsingor	D 1-1	1603	1519	39.5%	34.0%	26.5%	-0.4	1-2-2
2017-05-31	Vendsyssel	D 0-0	1551	1511	44.0%	32.1%	23.9%	-0.7	2-1-2
2017-05-31	@ Horsens	D 0-0	1511	1551	23.9%	32.1%	44.0%	+0.8	0-0-1
2017-06-01	Randers	W 3-0	1733	1667	48.4%	29.7%	21.9%	+11.6	1-0
2017-06-01	@ Midtjylland	L 0-3	1667	1733	21.9%	29.7%	48.4%	-11.5	3-1-1
2017-06-04	Horsens	L 1-3	1512	1550	32.1%	35.3%	32.6%	-9.6	0-1-1
2017-06-04	@ Vendsyssel	W 3-1	1550	1512	32.6%	35.3%	32.1%	+9.6	3-1-2
2017-06-04	Helsingor	D 2-2	1603	1519	51.1%	27.9%	20.9%	-0.8	1-2-3
2017-06-04	@ Viborg	D 2-2	1519	1603	20.9%	27.9%	51.1%	+0.8	0-0-2

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	17.26%	Nordsjaelland	1622	3	@ Brondby	1785	2
2	2017-05-21	17.56%	@ Lyngby	1653	3	FC Copenhagen	1882	1
3	2016-09-18	17.82%	Viborg	1619	2	@ Brondby	1769	1
4	2017-05-18	18.13%	Lyngby	1636	2	@ Brondby	1779	0
5	2016-12-04	18.53%	Aarhus GF	1628	1	@ Midtjylland	1761	0
6	2016-12-11	19.10%	Esbjerg	1563	2	@ Randers	1684	0
7	2016-07-31	19.32%	Lyngby	1579	1	@ Sonderjyske	1695	0
8	2016-12-01	19.44%	@ Silkeborg	1583	2	Midtjylland	1769	1
9	2017-03-19	19.62%	Nordsjaelland	1644	2	@ Midtjylland	1753	1
10	2016-11-20	20.36%	@ Odense	1607	1	Brondby	1775	0
11	2016-09-22	20.64%	@ Lyngby	1599	1	Brondby	1761	0
12	2016-08-28	20.67%	Horsens	1576	1	@ Odense	1665	0
13	2017-05-28	20.70%	Lyngby	1667	3	@ Midtjylland	1755	0
14	2016-10-02	21.24%	@ Lyngby	1614	1	Midtjylland	1765	0
15	2016-09-26	21.31%	@ Silkeborg	1552	5	Aalborg	1703	3
16	2017-05-17	21.59%	@ Midtjylland	1744	3	FC Copenhagen	1889	2
17	2017-05-28	21.59%	Nordsjaelland	1670	2	@ Brondby	1743	1
18	2016-12-01	22.52%	Esbjerg	1554	1	@ Odense	1613	0
19	2016-10-21	22.76%	Silkeborg	1559	3	@ Viborg	1614	1
20	2016-11-18	22.96%	Horsens	1578	1	@ Lyngby	1629	0
21	2016-07-17	23.08%	Aarhus GF	1652	2	@ Sonderjyske	1702	1
22	2016-11-04	23.26%	@ Esbjerg	1548	3	Aalborg	1669	0
23	2017-04-10	23.32%	Silkeborg	1578	3	@ Aarhus GF	1625	1
24	2017-02-17	23.41%	@ Esbjerg	1579	3	Sonderjyske	1698	0
25	2016-09-10	23.42%	Horsens	1584	4	@ Viborg	1630	2

Biggest Elo Changes

The 25 games that moved the Elo needle the most. Elo Δ is the magnitude of the rating swing; both teams move by the same amount per game (one up, one down). The winning side is shown first. An asterisk (*) after the date marks a playoff game.

#	Date	Elo Δ	Winning Team				Losing Team				Tie %
#	Date	Elo Δ	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2016-08-21	32.05	Brondby	7	1732	38.02%	@ Aarhus GF	0	1657	27.52%
2	2016-09-25	24.61	Sonderjyske	4	1678	25.69%	@ Randers	0	1697	40.76%
3	2016-07-15	23.71	Nordsjaelland	4	1636	27.23%	@ Viborg	0	1640	38.43%
4	2016-08-05	23.46	Lyngby	4	1587	27.68%	@ Silkeborg	0	1587	37.80%
5	2017-05-28	21.84	Lyngby	3	1667	20.70%	@ Midtjylland	0	1755	51.82%
6	2017-04-23	21.29	@ Randers	4	1628	32.22%	Odense	0	1666	32.51%
7	2017-03-06	20.69	@ Odense	4	1629	33.66%	Aalborg	0	1657	31.11%
8	2017-04-24	20.26	@ Aarhus GF	4	1608	34.69%	Aalborg	0	1629	30.18%
9	2016-11-04	20.13	@ Esbjerg	3	1548	23.26%	Aalborg	0	1669	45.30%
10	2017-02-17	20.04	@ Esbjerg	3	1579	23.41%	Sonderjyske	0	1698	44.98%
11	2017-05-21	19.81	@ Sonderjyske	3	1649	23.81%	Brondby	0	1763	44.16%
12	2016-12-09	19.20	@ Horsens	3	1557	24.95%	Aalborg	0	1658	42.01%
13	2016-07-24	19.14	Midtjylland	4	1730	37.46%	@ Nordsjaelland	0	1659	27.93%
14	2016-11-25	17.96	Aarhus GF	5	1616	31.63%	@ Horsens	1	1585	33.11%
15	2016-08-14	17.35	@ Brondby	4	1714	42.10%	Sonderjyske	0	1687	24.91%
16	2017-02-20	17.15	@ Odense	3	1612	29.76%	Randers	0	1668	35.17%
17	2016-08-21	17.13	Viborg	5	1612	33.99%	@ Silkeborg	1	1564	30.81%
18	2017-05-18	16.51	Lyngby	2	1636	18.13%	@ Brondby	0	1779	60.88%
19	2016-12-11	15.93	Esbjerg	2	1563	19.10%	@ Randers	0	1684	57.22%
20	2017-04-14	15.77	Nordsjaelland	4	1663	25.99%	@ Sonderjyske	1	1679	40.28%
21	2016-07-17	14.96	@ Brondby	4	1691	48.76%	Esbjerg	0	1622	21.79%
22	2016-07-23	14.58	FC Copenhagen	4	1756	49.89%	@ Esbjerg	0	1607	21.37%
23	2017-05-21	14.58	@ Lyngby	3	1653	17.56%	FC Copenhagen	1	1882	63.10%
24	2017-05-12	14.39	@ Sonderjyske	5	1647	24.00%	Midtjylland	2	1758	43.78%
25	2016-11-21	14.36	@ Silkeborg	3	1573	38.41%	Esbjerg	0	1569	27.24%