2019-20 Superliga Season

236 games · 6 promotion-playoff teams · 100,000 simulations

Final

Champion

Midtjylland

82 points

Relegated

No relegation

Biggest Overachiever

Aalborg

5.66 points above expected

54 points · 48.34 expected points

Biggest Disappointment

Lyngby

7.13 points below expected

34 points · 41.13 expected points

League Table

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

#	Team	GP	W	D	L	Pts	GF	GA	GD	SimPts	vsSim
1	Midtjylland	26	21	2	3	65	42	14	+28	50.3	+14.68
2	FC Copenhagen	26	18	2	6	56	47	29	+18	50.6	+5.37
3	Aarhus GF	26	14	5	7	47	42	28	+14	40.8	+6.24
4	Brondby	26	13	3	10	42	47	37	+10	43.6	-1.59
5	Nordsjaelland	26	12	5	9	41	48	35	+13	38.9	+2.11
6	Aalborg	26	11	5	10	38	44	33	+11	36.3	+1.68
7	Randers	26	10	5	11	35	39	35	+4	36.6	-1.63
8	Horsens	26	10	4	12	34	25	44	-19	25.9	+8.11
9	Odense	26	9	6	11	33	34	30	+4	38.8	-5.75
10	Lyngby	26	9	5	12	32	31	45	-14	27.0	+5.03
11	Sonderjyske	26	6	9	11	27	31	44	-13	32.6	-5.56
12	Hobro	26	3	14	9	23	25	35	-10	29.9	-6.92
13	Esbjerg	26	4	6	16	18	22	44	-22	31.2	-13.24
14	Silkeborg	26	3	7	16	16	31	55	-24	24.2	-8.22

#	Team	GP	W	D	L	Pts	GF	GA	GD	SimPts	vsSim
1	Midtjylland	36	26	4	6	82	61	29	+32	83.0	-0.98
2	FC Copenhagen	36	21	5	10	68	58	42	+16	72.3	-4.35
3	Aarhus GF	36	19	7	10	64	58	41	+17	60.0	+3.97
4	Brondby	36	16	8	12	56	56	42	+14	55.5	+0.51
5	Aalborg	36	16	6	14	54	54	44	+10	48.3	+5.66
6	Nordsjaelland	36	13	8	15	47	59	54	+5	53.0	-5.95
7	Horsens	32	13	7	12	46	36	50	-14	42.5	+3.49
8	Randers	32	13	6	13	45	51	45	+6	47.2	-2.22
9	Odense	32	12	7	13	43	43	42	+1	45.3	-2.32
10	Sonderjyske	32	9	11	12	38	37	49	-12	36.8	+1.21
11	Lyngby	32	9	7	16	34	34	54	-20	41.1	-7.13
12	Hobro	32	5	15	12	30	35	48	-13	32.1	-2.11
13	Silkeborg	32	6	8	18	26	43	59	-16	22.9	+3.13
14	Esbjerg	32	5	7	20	22	32	58	-26	27.5	-5.50

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

Odense 3

Randers 2

Leg 1: Randers 2-1 Odense

Leg 2: Odense 2-0 Randers

Semifinals

Odense 4

Horsens 2

Leg 1: Odense 3-1 Horsens

Leg 2: Horsens 1-1 Odense

Finals

Lyngby 4

Hobro 3

Leg 1: Hobro 1-2 Lyngby

Leg 2: Lyngby 2-2 Hobro

Aarhus GF 2

Odense 1

Season Summary

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

Team	Elo	Points	Avg	Luck	Percentile	Min	5th	Q1	Median	Q3	95th	Max
Midtjylland	1823	82	50.32	+31.68	99.3%	25	40	46	50	55	61	73
FC Copenhagen	1776	68	50.63	+17.37	81.9%	25	40	46	51	55	61	73
Aarhus GF	1750	64	40.76	+23.24	84.8%	18	30	36	41	45	51	64
Brondby	1746	56	43.59	+12.41	43.2%	20	33	39	44	48	54	68
Aalborg	1689	54	36.32	+17.68	63.4%	15	26	32	36	41	47	60
Nordsjaelland	1684	47	38.89	+8.11	66.1%	15	28	34	39	43	50	64
Randers	1641	45	36.63	+8.37	43.3%	15	26	32	37	41	47	61
Odense	1638	43	38.75	+4.25	21.1%	16	28	34	39	43	50	63
Sonderjyske	1587	38	32.56	+5.44	21.5%	10	22	28	32	37	43	56
Horsens	1579	46	25.89	+20.11	91.3%	4	16	22	26	30	36	50
Silkeborg	1563	26	24.22	+1.78	9.7%	4	15	20	24	28	34	46
Hobro	1555	30	29.92	+0.08	15.6%	9	20	26	30	34	41	53
Esbjerg	1541	22	31.24	-9.24	2.1%	10	21	27	31	36	42	62
Lyngby	1530	34	26.97	+7.03	81.1%	5	17	23	27	31	37	50

Head-to-Head

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

Beat expectations Fell short Within expectations

Team	AAL	AG	BRO	ESB	FC	HOB	HOR	LYN	MID	NOR	ODE	RAN	SIL	SON
Aalborg	—	2-0-2 4.71	3-0-1 4.38	1-1-0 3.23	1-0-3 3.85	1-1-0 3.29	2-0-0 3.50	1-0-1 3.45	1-0-3 3.50	0-1-3 5.23	1-1-0 2.55	0-1-1 2.74	2-0-0 3.61	1-1-0 2.92
Aarhus GF	2-0-2 6.37	—	2-1-1 5.21	2-0-0 3.52	2-0-2 4.37	0-2-0 3.64	2-0-0 3.85	0-1-1 3.78	3-0-1 3.95	3-1-0 6.07	2-0-0 3.06	0-1-1 3.15	0-0-2 4.26	1-1-0 3.20
Brondby	1-0-3 6.71	1-1-2 5.86	—	1-0-1 3.79	1-2-1 4.51	1-1-0 3.77	0-0-2 4.08	2-0-0 3.92	0-2-2 4.16	3-1-0 5.78	2-0-0 3.16	1-1-0 3.32	2-0-0 4.05	1-0-1 3.61
Esbjerg	0-1-1 2.29	0-0-2 2.03	1-0-1 1.80	—	1-0-1 1.37	0-2-2 5.73	0-3-1 5.96	1-0-1 3.07	0-0-2 1.66	0-0-2 2.12	0-0-2 2.33	1-0-3 4.46	1-1-0 3.30	0-0-2 2.66
FC Copenhagen	3-0-1 7.29	2-0-2 6.71	1-2-1 6.56	1-0-1 4.27	—	1-0-1 4.27	1-0-1 4.42	2-0-0 4.41	0-1-3 5.20	3-1-0 7.08	2-0-0 3.63	2-0-0 3.87	1-1-0 4.67	2-0-0 4.00
Hobro	0-1-1 2.27	0-2-0 1.95	0-1-1 1.82	2-2-0 5.34	1-0-1 1.38	—	0-2-2 5.89	0-1-1 3.06	0-1-1 1.34	0-1-1 2.12	0-1-1 2.09	1-1-2 4.52	1-1-0 3.17	0-1-1 2.64
Horsens	0-0-2 2.06	0-0-2 1.72	2-0-0 1.54	1-3-0 5.09	1-0-1 1.27	2-2-0 5.17	—	1-0-1 2.67	1-0-1 1.27	0-0-2 1.96	1-0-1 1.70	1-1-2 3.79	2-0-0 2.75	1-1-0 2.28
Lyngby	1-0-1 2.10	1-1-0 1.81	0-0-2 1.68	1-0-1 2.46	0-0-2 1.27	1-1-0 2.46	1-0-1 2.86	—	0-0-2 1.23	0-2-0 1.89	1-0-3 3.93	1-0-1 2.01	2-1-1 5.70	0-2-2 4.76
Midtjylland	3-0-1 7.68	1-0-3 7.18	2-2-0 6.94	2-0-0 3.93	3-1-0 5.86	1-1-0 4.31	1-0-1 4.42	2-0-0 4.45	—	4-0-0 7.21	1-0-1 3.69	2-0-0 3.75	2-0-0 4.70	2-0-0 4.08
Nordsjaelland	3-1-0 5.82	0-1-3 4.98	0-1-3 5.27	2-0-0 3.42	0-1-3 4.04	1-1-0 3.42	2-0-0 3.61	0-2-0 3.68	0-0-4 3.91	—	1-0-1 2.70	1-0-1 2.92	1-1-0 3.97	2-0-0 3.28
Odense	0-1-1 2.97	0-0-2 2.48	0-0-2 2.38	2-0-0 3.23	0-0-2 1.94	1-1-0 3.48	1-0-1 3.89	3-0-1 7.19	1-0-1 1.88	1-0-1 2.83	—	1-1-0 2.85	1-1-2 7.57	1-3-0 6.39
Randers	1-1-0 2.79	1-1-0 2.39	0-1-1 2.21	3-0-1 6.64	0-0-2 1.72	2-1-1 6.58	2-1-1 7.34	1-0-1 3.55	0-0-2 1.82	1-0-1 2.60	0-1-1 2.69	—	1-0-1 3.69	1-0-1 3.09
Silkeborg	0-0-2 1.94	2-0-0 1.38	0-0-2 1.56	0-1-1 2.24	0-1-1 1.05	0-1-1 2.36	0-0-2 2.78	1-1-2 5.35	0-0-2 1.03	0-1-1 1.62	2-1-1 3.59	1-0-1 1.87	—	0-2-2 4.67
Sonderjyske	0-1-1 2.60	0-1-1 2.35	1-0-1 1.97	2-0-0 2.86	0-0-2 1.61	1-1-0 2.88	0-1-1 3.27	2-2-0 6.30	0-0-2 1.55	0-0-2 2.28	0-3-1 4.67	1-0-1 2.45	2-2-0 6.40	—

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	6.36%	7.20%	5.51%	4.24%	1.06%	0.64%	25.00%
1	7.20%	11.02%	11.02%	3.81%	1.06%	—	34.11%
2	5.51%	11.02%	4.24%	2.12%	1.06%	0.21%	24.15%
3	4.24%	3.81%	2.12%	0.85%	0.64%	0.21%	11.86%
4	1.06%	1.06%	1.06%	0.64%	—	—	3.81%
5+	0.64%	—	0.21%	0.21%	—	—	1.06%
Total	25.00%	34.11%	24.15%	11.86%	3.81%	1.06%	100%

Summary Statistics

Mean scored	1.39
Mean allowed	1.39
StdDev scored	1.18
StdDev allowed	1.18
Mean total goals/game	2.78
Correlation (home vs away score)	-0.085
Sample size (games)	236

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	8.33%	8.33%	5.56%	2.78%	—	30.56%
1	11.11%	8.33%	5.56%	2.78%	—	—	27.78%
2	8.33%	2.78%	—	5.56%	—	—	16.67%
3	2.78%	5.56%	2.78%	2.78%	—	—	13.89%
4	5.56%	2.78%	—	—	—	—	8.33%
5+	2.78%	—	—	—	—	—	2.78%
Total	36.11%	27.78%	16.67%	16.67%	2.78%	—	100%

Aalborg — Summary Statistics

Mean scored	1.50
Mean allowed	1.22
StdDev scored	1.42
StdDev allowed	1.20
Mean total goals/game	2.72
Correlation (scored vs allowed)	-0.285
Games played	36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	8.33%	2.78%	—	—	—	19.44%
1	11.11%	11.11%	11.11%	—	2.78%	—	36.11%
2	2.78%	13.89%	—	—	—	—	16.67%
3	8.33%	5.56%	2.78%	—	2.78%	—	19.44%
4	—	—	5.56%	2.78%	—	—	8.33%
5+	—	—	—	—	—	—	—
Total	30.56%	38.89%	22.22%	2.78%	5.56%	—	100%

Aarhus GF — Summary Statistics

Mean scored	1.61
Mean allowed	1.14
StdDev scored	1.25
StdDev allowed	1.07
Mean total goals/game	2.75
Correlation (scored vs allowed)	0.255
Games played	36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	5.56%	2.78%	2.78%	—	—	19.44%
1	11.11%	8.33%	13.89%	2.78%	—	—	36.11%
2	8.33%	5.56%	5.56%	5.56%	—	—	25.00%
3	5.56%	2.78%	2.78%	—	—	—	11.11%
4	2.78%	—	2.78%	—	—	—	5.56%
5+	—	—	2.78%	—	—	—	2.78%
Total	36.11%	22.22%	30.56%	11.11%	—	—	100%

Brondby — Summary Statistics

Mean scored	1.56
Mean allowed	1.17
StdDev scored	1.25
StdDev allowed	1.06
Mean total goals/game	2.72
Correlation (scored vs allowed)	0.036
Games played	36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	9.38%	6.25%	6.25%	3.12%	—	25.00%
1	6.25%	15.62%	25.00%	12.50%	—	—	59.38%
2	—	3.12%	6.25%	—	—	—	9.38%
3	—	3.12%	—	—	—	—	3.12%
4	—	—	3.12%	—	—	—	3.12%
5+	—	—	—	—	—	—	—
Total	6.25%	31.25%	40.62%	18.75%	3.12%	—	100%

Esbjerg — Summary Statistics

Mean scored	1.00
Mean allowed	1.81
StdDev scored	0.88
StdDev allowed	0.93
Mean total goals/game	2.81
Correlation (scored vs allowed)	-0.157
Games played	32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	11.11%	—	—	—	—	16.67%
1	8.33%	8.33%	5.56%	5.56%	2.78%	—	30.56%
2	8.33%	22.22%	—	—	2.78%	—	33.33%
3	2.78%	5.56%	5.56%	—	—	—	13.89%
4	—	2.78%	2.78%	—	—	—	5.56%
5+	—	—	—	—	—	—	—
Total	25.00%	50.00%	13.89%	5.56%	5.56%	—	100%

FC Copenhagen — Summary Statistics

Mean scored	1.61
Mean allowed	1.17
StdDev scored	1.10
StdDev allowed	1.06
Mean total goals/game	2.78
Correlation (scored vs allowed)	0.082
Games played	36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.38%	3.12%	9.38%	—	3.12%	—	25.00%
1	3.12%	28.12%	12.50%	3.12%	—	—	46.88%
2	—	6.25%	9.38%	6.25%	—	—	21.88%
3	—	3.12%	3.12%	—	—	—	6.25%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	12.50%	40.62%	34.38%	9.38%	3.12%	—	100%

Hobro — Summary Statistics

Mean scored	1.09
Mean allowed	1.50
StdDev scored	0.86
StdDev allowed	0.95
Mean total goals/game	2.59
Correlation (scored vs allowed)	0.178
Games played	32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.38%	—	9.38%	6.25%	3.12%	6.25%	34.38%
1	9.38%	9.38%	12.50%	—	—	—	31.25%
2	—	18.75%	3.12%	—	—	—	21.88%
3	6.25%	—	6.25%	—	—	—	12.50%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	25.00%	28.12%	31.25%	6.25%	3.12%	6.25%	100%

Horsens — Summary Statistics

Mean scored	1.12
Mean allowed	1.56
StdDev scored	1.04
StdDev allowed	1.46
Mean total goals/game	2.69
Correlation (scored vs allowed)	-0.367
Games played	32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.12%	9.38%	9.38%	12.50%	—	—	34.38%
1	3.12%	12.50%	9.38%	3.12%	6.25%	—	34.38%
2	9.38%	9.38%	6.25%	—	—	—	25.00%
3	—	—	3.12%	—	—	—	3.12%
4	—	—	—	3.12%	—	—	3.12%
5+	—	—	—	—	—	—	—
Total	15.62%	31.25%	28.12%	18.75%	6.25%	—	100%

Lyngby — Summary Statistics

Mean scored	1.06
Mean allowed	1.69
StdDev scored	1.01
StdDev allowed	1.15
Mean total goals/game	2.75
Correlation (scored vs allowed)	-0.121
Games played	32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	5.56%	—	2.78%	—	—	13.89%
1	19.44%	5.56%	2.78%	2.78%	—	—	30.56%
2	16.67%	22.22%	—	—	—	—	38.89%
3	5.56%	2.78%	—	—	2.78%	—	11.11%
4	—	2.78%	—	—	—	—	2.78%
5+	—	—	—	2.78%	—	—	2.78%
Total	47.22%	38.89%	2.78%	8.33%	2.78%	—	100%

Midtjylland — Summary Statistics

Mean scored	1.69
Mean allowed	0.81
StdDev scored	1.21
StdDev allowed	1.04
Mean total goals/game	2.50
Correlation (scored vs allowed)	0.246
Games played	36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	11.11%	2.78%	—	2.78%	—	19.44%
1	—	11.11%	8.33%	11.11%	—	—	30.56%
2	8.33%	11.11%	8.33%	—	2.78%	—	30.56%
3	5.56%	2.78%	—	—	—	2.78%	11.11%
4	2.78%	2.78%	—	—	—	—	5.56%
5+	2.78%	—	—	—	—	—	2.78%
Total	22.22%	38.89%	19.44%	11.11%	5.56%	2.78%	100%

Nordsjaelland — Summary Statistics

Mean scored	1.64
Mean allowed	1.50
StdDev scored	1.33
StdDev allowed	1.36
Mean total goals/game	3.14
Correlation (scored vs allowed)	-0.212
Games played	36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	12.50%	6.25%	6.25%	—	—	3.12%	28.12%
1	9.38%	9.38%	12.50%	3.12%	—	—	34.38%
2	3.12%	6.25%	—	6.25%	—	—	15.62%
3	6.25%	9.38%	—	—	3.12%	—	18.75%
4	—	3.12%	—	—	—	—	3.12%
5+	—	—	—	—	—	—	—
Total	31.25%	34.38%	18.75%	9.38%	3.12%	3.12%	100%

Odense — Summary Statistics

Mean scored	1.34
Mean allowed	1.31
StdDev scored	1.18
StdDev allowed	1.38
Mean total goals/game	2.66
Correlation (scored vs allowed)	-0.028
Games played	32

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

Randers — Summary Statistics

Mean scored	1.59
Mean allowed	1.41
StdDev scored	1.24
StdDev allowed	1.27
Mean total goals/game	3.00
Correlation (scored vs allowed)	-0.200
Games played	32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.12%	9.38%	9.38%	9.38%	—	—	31.25%
1	—	9.38%	15.62%	3.12%	—	—	28.12%
2	3.12%	6.25%	9.38%	6.25%	3.12%	—	28.12%
3	—	3.12%	—	3.12%	—	—	6.25%
4	—	—	—	3.12%	—	—	3.12%
5+	3.12%	—	—	—	—	—	3.12%
Total	9.38%	28.12%	34.38%	25.00%	3.12%	—	100%

Silkeborg — Summary Statistics

Mean scored	1.34
Mean allowed	1.84
StdDev scored	1.36
StdDev allowed	1.02
Mean total goals/game	3.19
Correlation (scored vs allowed)	-0.076
Games played	32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.38%	3.12%	6.25%	9.38%	—	—	28.12%
1	6.25%	15.62%	9.38%	3.12%	3.12%	—	37.50%
2	—	15.62%	6.25%	—	3.12%	—	25.00%
3	3.12%	3.12%	—	3.12%	—	—	9.38%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	18.75%	37.50%	21.88%	15.62%	6.25%	—	100%

Sonderjyske — Summary Statistics

Mean scored	1.16
Mean allowed	1.53
StdDev scored	0.95
StdDev allowed	1.16
Mean total goals/game	2.69
Correlation (scored vs allowed)	-0.019
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	Aalborg	54	48.3	+5.66
2	Aarhus GF	64	60.0	+3.97
3	Horsens	46	42.5	+3.49
4	Silkeborg	26	22.9	+3.13
5	Sonderjyske	38	36.8	+1.21

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Lyngby	34	41.1	-7.13
2	Nordsjaelland	47	53.0	-5.95
3	Esbjerg	22	27.5	-5.50
4	FC Copenhagen	68	72.3	-4.35
5	Odense	43	45.3	-2.32

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	Horsens	3	Mar 8 – Jun 7	1 in 464
2	Aarhus GF	6	Aug 19 – Sep 29	1 in 173
3	Midtjylland	8	Oct 6 – Dec 8	1 in 121
4	Randers	5	Sep 1 – Oct 6	1 in 79
5	FC Copenhagen	7	Jul 14 – Aug 25	1 in 51

Longest Losing Streaks

#	Team	Games	Dates	Probability
1	Esbjerg	4	Jun 21 – Jul 8	1 in 39
2	Odense	3	Nov 10 – Dec 1	1 in 32
3	Aalborg	4	Jun 7 – Jun 20	1 in 25
4	Silkeborg	5	Sep 1 – Oct 6	1 in 22
5	Sonderjyske	4	Oct 20 – Nov 10	1 in 21

Longest Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Horsens	9	Mar 8 – Jul 8	1 in 1,924
2	Lyngby	5	Nov 10 – Dec 15	1 in 32
3	Aalborg	5	Jun 26 – Jul 19	1 in 30
4	Aarhus GF	8	Nov 3 – Feb 28	1 in 22
5	Hobro	5	Feb 28 – Jun 13	1 in 22

Longest Winless Streaks

#	Team	Games	Dates	Probability
1	Hobro	15	Sep 22 – Mar 8	1 in 395
2	Odense	10	Nov 10 – Jun 1	1 in 214
3	Silkeborg	12	Jul 14 – Oct 6	1 in 53
4	Lyngby	10	Mar 1 – Jul 8	1 in 27
5	FC Copenhagen	6	Jun 21 – Jul 19	1 in 26

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
Midtjylland	40.68%	28.31%	14.25%	7.43%	4.03%	2.63%	1.18%	0.85%	0.44%	0.14%	0.04%	—	0.02%	—
FC Copenhagen	40.09%	29.15%	14.20%	7.35%	4.63%	2.10%	1.26%	0.60%	0.30%	0.19%	0.08%	0.04%	—	0.01%
Aarhus GF	3.63%	9.42%	14.90%	15.52%	14.02%	12.03%	9.22%	7.83%	5.35%	3.43%	2.33%	1.39%	0.72%	0.21%
Brondby	8.77%	14.53%	19.73%	16.72%	12.54%	9.63%	6.99%	4.35%	2.83%	1.96%	1.09%	0.59%	0.19%	0.08%
Aalborg	0.90%	2.83%	6.06%	9.15%	10.90%	11.93%	12.97%	11.46%	10.86%	8.35%	6.29%	4.38%	2.88%	1.04%
Nordsjaelland	2.23%	5.72%	10.17%	13.12%	13.93%	13.28%	11.40%	10.29%	7.18%	5.52%	3.53%	1.98%	1.18%	0.47%
Horsens	0.01%	0.06%	0.18%	0.50%	1.00%	1.56%	2.59%	4.29%	6.14%	9.47%	12.22%	17.05%	21.52%	23.41%
Randers	1.13%	2.86%	6.25%	8.75%	11.39%	12.42%	12.79%	12.45%	10.07%	8.56%	6.12%	3.83%	2.35%	1.03%
Odense	2.13%	5.40%	9.34%	12.41%	13.30%	13.30%	11.98%	9.95%	8.05%	5.66%	4.27%	2.52%	1.25%	0.44%
Sonderjyske	0.21%	0.83%	2.09%	3.49%	5.55%	7.50%	10.01%	11.23%	12.99%	13.09%	11.82%	10.19%	6.77%	4.23%
Lyngby	0.04%	0.07%	0.35%	0.85%	1.13%	2.26%	3.63%	5.59%	8.13%	10.02%	13.57%	16.93%	19.33%	18.10%
Hobro	0.06%	0.24%	0.88%	1.93%	2.88%	4.66%	6.71%	8.97%	11.59%	13.45%	14.62%	13.62%	11.75%	8.64%
Silkeborg	—	0.03%	0.11%	0.21%	0.54%	0.86%	1.63%	2.57%	4.19%	6.98%	10.47%	15.27%	21.82%	35.32%
Esbjerg	0.12%	0.55%	1.49%	2.57%	4.16%	5.84%	7.64%	9.57%	11.88%	13.18%	13.55%	12.21%	10.22%	7.02%

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

Odense 3

Randers 2

Leg 1: Randers 2-1 Odense

Leg 2: Odense 2-0 Randers

Semifinals

Odense 4

Horsens 2

Leg 1: Odense 3-1 Horsens

Leg 2: Horsens 1-1 Odense

Finals

Lyngby 4

Hobro 3

Leg 1: Hobro 1-2 Lyngby

Leg 2: Lyngby 2-2 Hobro

Aarhus GF 2

Odense 1

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
Aalborg	100%
Aarhus GF	100%
Brondby	100%
Esbjerg	100%
FC Copenhagen	100%
Hobro	100%
Horsens	100%
Lyngby	100%
Midtjylland	100%
Nordsjaelland	100%
Odense	100%
Randers	100%
Silkeborg	100%
Sonderjyske	100%

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
2019-07-12	Esbjerg	W 1-0	1753	1649	60.0%	20.1%	20.0%	+3.5	3
2019-07-12	@ Midtjylland	L 0-1	1649	1753	20.0%	20.1%	60.0%	-3.5	0
2019-07-14	Silkeborg	W 3-0	1721	1586	63.9%	18.4%	17.7%	+8.3	3
2019-07-14	@ Brondby	L 0-3	1586	1721	17.7%	18.4%	63.9%	-8.4	0
2019-07-14	Nordsjaelland	L 0-3	1573	1659	34.2%	24.3%	41.5%	-15.8	0
2019-07-14	@ Horsens	W 3-0	1659	1573	41.5%	24.3%	34.2%	+15.8	3
2019-07-14	Aalborg	W 2-0	1560	1636	35.6%	24.4%	40.0%	+12.3	3
2019-07-14	@ Lyngby	L 0-2	1636	1560	40.0%	24.4%	35.6%	-12.3	0
2019-07-14	FC Copenhagen	L 2-3	1669	1776	31.4%	24.0%	44.5%	-4.8	0
2019-07-14	@ Odense	W 3-2	1776	1669	44.5%	24.0%	31.4%	+4.8	3
2019-07-14	Randers	W 2-1	1614	1638	42.8%	24.2%	33.0%	+5.3	3
2019-07-14	@ Sonderjyske	L 1-2	1638	1614	33.0%	24.2%	42.8%	-5.3	0
2019-07-15	Aarhus GF	D 1-1	1599	1671	36.1%	24.4%	39.5%	+0.1	1
2019-07-15	@ Hobro	D 1-1	1671	1599	39.5%	24.4%	36.1%	-0.1	1
2019-07-19	Aarhus GF	W 2-1	1781	1671	60.7%	19.8%	19.5%	+3.2	6
2019-07-19	@ FC Copenhagen	L 1-2	1671	1781	19.5%	19.8%	60.7%	-3.2	1
2019-07-21	Sonderjyske	D 1-1	1623	1619	46.9%	23.7%	29.4%	-0.6	1
2019-07-21	@ Aalborg	D 1-1	1619	1623	29.4%	23.7%	46.9%	+0.6	4
2019-07-21	Hobro	D 1-1	1646	1599	52.6%	22.5%	24.9%	-1.0	1
2019-07-21	@ Esbjerg	D 1-1	1599	1646	24.9%	22.5%	52.6%	+1.0	2
2019-07-21	Nordsjaelland	W 2-1	1756	1674	57.2%	21.1%	21.7%	+3.6	6
2019-07-21	@ Midtjylland	L 1-2	1674	1756	21.7%	21.1%	57.2%	-3.6	3
2019-07-21	Brondby	D 2-2	1633	1730	32.7%	24.2%	43.1%	+0.2	1
2019-07-21	@ Randers	D 2-2	1730	1633	43.1%	24.2%	32.7%	-0.2	4
2019-07-21	Horsens	L 0-3	1577	1557	49.1%	23.3%	27.6%	-20.9	0
2019-07-21	@ Silkeborg	W 3-0	1557	1577	27.6%	23.3%	49.1%	+20.9	3
2019-07-22	Lyngby	W 4-1	1664	1572	58.4%	20.6%	20.9%	+8.5	3
2019-07-22	@ Odense	L 1-4	1572	1664	20.9%	20.6%	58.4%	-8.5	3
2019-07-26	Sonderjyske	L 0-3	1564	1619	38.4%	24.4%	37.2%	-17.2	3
2019-07-26	@ Lyngby	W 3-0	1619	1564	37.2%	24.4%	38.4%	+17.2	7
2019-07-27	FC Copenhagen	L 0-2	1578	1784	21.3%	20.9%	57.8%	-7.1	3
2019-07-27	@ Horsens	W 2-0	1784	1578	57.8%	20.9%	21.3%	+7.1	9
2019-07-28	Midtjylland	L 0-1	1668	1760	33.3%	24.2%	42.4%	-5.6	1
2019-07-28	@ Aarhus GF	W 1-0	1760	1668	42.4%	24.2%	33.3%	+5.7	9
2019-07-28	Odense	W 3-2	1730	1672	54.0%	22.1%	23.9%	+3.8	7
2019-07-28	@ Brondby	L 2-3	1672	1730	23.9%	22.1%	54.0%	-3.8	3
2019-07-28	Randers	D 2-2	1600	1633	41.6%	24.3%	34.1%	-0.2	3
2019-07-28	@ Hobro	D 2-2	1633	1600	34.1%	24.3%	41.6%	+0.2	2
2019-07-28	Esbjerg	W 2-0	1671	1645	49.8%	23.1%	27.0%	+8.9	6
2019-07-28	@ Nordsjaelland	L 0-2	1645	1671	27.0%	23.1%	49.8%	-8.9	1
2019-07-29	Silkeborg	W 3-1	1623	1557	55.2%	21.7%	23.1%	+6.6	4
2019-07-29	@ Aalborg	L 1-3	1557	1623	23.1%	21.7%	55.2%	-6.6	0
2019-08-02	Hobro	L 2-3	1550	1600	39.2%	24.4%	36.4%	-5.7	0
2019-08-02	@ Silkeborg	W 3-2	1600	1550	36.4%	24.4%	39.2%	+5.7	6
2019-08-03	FC Copenhagen	L 1-2	1637	1791	26.1%	22.9%	51.0%	-4.3	7
2019-08-03	@ Sonderjyske	W 2-1	1791	1637	51.0%	22.9%	26.1%	+4.3	12
2019-08-04	Horsens	L 1-2	1733	1571	67.1%	17.0%	16.0%	-9.2	7
2019-08-04	@ Brondby	W 2-1	1571	1733	16.0%	17.0%	67.1%	+9.2	6
2019-08-04	Odense	L 0-1	1636	1669	41.7%	24.3%	34.0%	-6.7	1
2019-08-04	@ Esbjerg	W 1-0	1669	1636	34.0%	24.3%	41.7%	+6.7	6
2019-08-04	Aalborg	W 1-0	1766	1629	63.9%	18.4%	17.6%	+3.0	12
2019-08-04	@ Midtjylland	L 0-1	1629	1766	17.6%	18.4%	63.9%	-3.0	4
2019-08-04	Nordsjaelland	W 3-1	1633	1680	39.8%	24.4%	35.9%	+9.8	5
2019-08-04	@ Randers	L 1-3	1680	1633	35.9%	24.4%	39.8%	-9.8	6
2019-08-05	Aarhus GF	W 2-1	1547	1662	30.4%	23.9%	45.7%	+6.8	6
2019-08-05	@ Lyngby	L 1-2	1662	1547	45.7%	23.9%	30.4%	-6.8	1
2019-08-09	Lyngby	W 2-0	1795	1554	75.7%	12.5%	11.8%	+3.5	15
2019-08-09	@ FC Copenhagen	L 0-2	1554	1795	11.8%	12.5%	75.7%	-3.5	6
2019-08-09	Randers	W 1-0	1675	1643	50.7%	23.0%	26.4%	+4.6	9
2019-08-09	@ Odense	L 0-1	1643	1675	26.4%	23.0%	50.7%	-4.6	5
2019-08-11	Esbjerg	W 4-0	1626	1629	45.9%	23.8%	30.3%	+18.6	7
2019-08-11	@ Aalborg	L 0-4	1629	1626	30.3%	23.8%	45.9%	-18.6	1
2019-08-11	Brondby	L 0-2	1606	1724	30.1%	23.8%	46.1%	-9.8	6
2019-08-11	@ Hobro	W 2-0	1724	1606	46.1%	23.8%	30.1%	+9.8	10
2019-08-11	Midtjylland	L 0-2	1580	1769	22.8%	21.6%	55.6%	-7.6	6
2019-08-11	@ Horsens	W 2-0	1769	1580	55.6%	21.6%	22.8%	+7.6	15
2019-08-11	Silkeborg	D 2-2	1670	1544	62.7%	19.0%	18.4%	-1.2	7
2019-08-11	@ Nordsjaelland	D 2-2	1544	1670	18.4%	19.0%	62.7%	+1.2	1
2019-08-12	Aarhus GF	D 0-0	1632	1655	43.0%	24.2%	32.8%	-0.4	8
2019-08-12	@ Sonderjyske	D 0-0	1655	1632	32.8%	24.2%	43.0%	+0.4	2
2019-08-16	Odense	W 2-0	1669	1680	44.7%	24.0%	31.3%	+10.1	10
2019-08-16	@ Nordsjaelland	L 0-2	1680	1669	31.3%	24.0%	44.7%	-10.1	9
2019-08-16	FC Copenhagen	L 0-1	1639	1799	25.5%	22.7%	51.8%	-4.5	5
2019-08-16	@ Randers	W 1-0	1799	1639	51.8%	22.7%	25.5%	+4.5	18
2019-08-18	Aalborg	W 2-1	1734	1645	58.1%	20.8%	21.1%	+3.5	13
2019-08-18	@ Brondby	L 1-2	1645	1734	21.1%	20.8%	58.1%	-3.5	7
2019-08-18	Lyngby	W 1-0	1611	1550	54.5%	21.9%	23.6%	+4.2	4
2019-08-18	@ Esbjerg	L 0-1	1550	1611	23.6%	21.9%	54.5%	-4.2	6
2019-08-18	Hobro	D 1-1	1776	1596	69.1%	16.0%	14.9%	-1.9	16
2019-08-18	@ Midtjylland	D 1-1	1596	1776	14.9%	16.0%	69.1%	+1.9	7
2019-08-18	Sonderjyske	D 3-3	1545	1632	34.1%	24.3%	41.6%	+0.2	2
2019-08-18	@ Silkeborg	D 3-3	1632	1545	41.6%	24.3%	34.1%	-0.2	9
2019-08-19	Horsens	W 2-0	1656	1572	57.4%	21.0%	21.6%	+7.2	5
2019-08-19	@ Aarhus GF	L 0-2	1572	1656	21.6%	21.0%	57.4%	-7.2	6
2019-08-23	Odense	D 0-0	1598	1670	36.1%	24.4%	39.5%	+0.1	8
2019-08-23	@ Hobro	D 0-0	1670	1598	39.5%	24.4%	36.1%	-0.1	10
2019-08-25	Aarhus GF	L 0-3	1737	1663	56.3%	21.4%	22.4%	-23.3	13
2019-08-25	@ Brondby	W 3-0	1663	1737	22.4%	21.4%	56.3%	+23.3	8
2019-08-25	Silkeborg	D 2-2	1615	1546	55.6%	21.6%	22.8%	-0.9	5
2019-08-25	@ Esbjerg	D 2-2	1546	1615	22.8%	21.6%	55.6%	+0.8	3
2019-08-25	Nordsjaelland	W 3-1	1803	1679	62.5%	19.0%	18.5%	+5.2	21
2019-08-25	@ FC Copenhagen	L 1-3	1679	1803	18.5%	19.0%	62.5%	-5.2	10
2019-08-25	Randers	W 2-0	1546	1634	33.8%	24.3%	41.9%	+12.7	9
2019-08-25	@ Lyngby	L 0-2	1634	1546	41.9%	24.3%	33.8%	-12.7	5
2019-08-25	Midtjylland	L 0-2	1632	1774	27.3%	23.2%	49.4%	-9.0	9
2019-08-25	@ Sonderjyske	W 2-0	1774	1632	49.4%	23.2%	27.3%	+9.0	19
2019-08-26	Aalborg	L 0-5	1565	1641	35.4%	24.4%	40.2%	-26.1	6
2019-08-26	@ Horsens	W 5-0	1641	1565	40.2%	24.4%	35.4%	+26.1	10
2019-08-30	Sonderjyske	D 0-0	1670	1623	52.6%	22.5%	24.9%	-1.1	11
2019-08-30	@ Odense	D 0-0	1623	1670	24.9%	22.5%	52.6%	+1.1	10
2019-08-31	Hobro	W 2-1	1674	1598	56.4%	21.3%	22.3%	+3.7	13
2019-08-31	@ Nordsjaelland	L 1-2	1598	1674	22.3%	21.3%	56.4%	-3.7	8
2019-09-01	FC Copenhagen	W 1-0	1668	1808	27.5%	23.3%	49.2%	+7.6	13
2019-09-01	@ Aalborg	L 0-1	1808	1668	49.2%	23.3%	27.5%	-7.6	21
2019-09-01	Esbjerg	W 1-0	1686	1614	56.0%	21.5%	22.5%	+4.0	11
2019-09-01	@ Aarhus GF	L 0-1	1614	1686	22.5%	21.5%	56.0%	-4.0	5
2019-09-01	Lyngby	W 2-1	1539	1559	43.5%	24.1%	32.3%	+5.2	9
2019-09-01	@ Horsens	L 1-2	1559	1539	32.3%	24.1%	43.5%	-5.2	9
2019-09-01	Brondby	W 1-0	1783	1714	55.6%	21.6%	22.8%	+4.0	22
2019-09-01	@ Midtjylland	L 0-1	1714	1783	22.8%	21.6%	55.6%	-4.0	13
2019-09-01	Silkeborg	W 2-0	1621	1546	56.4%	21.4%	22.3%	+7.4	8
2019-09-01	@ Randers	L 0-2	1546	1621	22.3%	21.4%	56.4%	-7.4	3
2019-09-13	Horsens	D 0-0	1624	1544	57.0%	21.2%	21.9%	-1.4	11
2019-09-13	@ Sonderjyske	D 0-0	1544	1624	21.9%	21.2%	57.0%	+1.4	10
2019-09-15	Aalborg	W 3-0	1690	1675	48.4%	23.4%	28.2%	+13.4	14
2019-09-15	@ Aarhus GF	L 0-3	1675	1690	28.2%	23.4%	48.4%	-13.4	13
2019-09-15	Nordsjaelland	W 4-2	1710	1677	50.8%	22.9%	26.3%	+6.7	16
2019-09-15	@ Brondby	L 2-4	1677	1710	26.3%	22.9%	50.8%	-6.7	13
2019-09-15	Randers	L 0-3	1610	1629	43.6%	24.1%	32.3%	-19.0	5
2019-09-15	@ Esbjerg	W 3-0	1629	1610	32.3%	24.1%	43.6%	+19.0	11
2019-09-15	FC Copenhagen	W 2-1	1594	1801	21.3%	20.8%	57.8%	+8.2	11
2019-09-15	@ Hobro	L 1-2	1801	1594	57.8%	20.8%	21.3%	-8.2	21
2019-09-15	Midtjylland	L 0-3	1553	1787	19.2%	19.5%	61.3%	-9.1	9
2019-09-15	@ Lyngby	W 3-0	1787	1553	61.3%	19.5%	19.2%	+9.2	25
2019-09-16	Odense	L 0-3	1539	1669	28.8%	23.6%	47.7%	-13.7	3
2019-09-16	@ Silkeborg	W 3-0	1669	1539	47.7%	23.6%	28.8%	+13.7	14
2019-09-20	Aarhus GF	L 1-2	1682	1704	43.3%	24.2%	32.6%	-6.5	14
2019-09-20	@ Odense	W 2-1	1704	1682	32.6%	24.2%	43.3%	+6.5	17
2019-09-22	Brondby	W 3-1	1591	1717	29.2%	23.6%	47.2%	+12.1	8
2019-09-22	@ Esbjerg	L 1-3	1717	1591	47.2%	23.6%	29.2%	-12.1	16
2019-09-22	Midtjylland	D 0-0	1792	1796	45.7%	23.9%	30.4%	-0.6	22
2019-09-22	@ FC Copenhagen	D 0-0	1796	1792	30.4%	23.9%	45.7%	+0.6	26
2019-09-22	Sonderjyske	D 1-1	1603	1623	43.5%	24.1%	32.4%	-0.4	12
2019-09-22	@ Hobro	D 1-1	1623	1603	32.4%	24.1%	43.5%	+0.4	12
2019-09-22	Aalborg	W 2-1	1670	1662	47.5%	23.6%	28.9%	+4.7	16
2019-09-22	@ Nordsjaelland	L 1-2	1662	1670	28.9%	23.6%	47.5%	-4.7	13
2019-09-22	Lyngby	L 2-3	1525	1544	43.6%	24.1%	32.2%	-6.2	3
2019-09-22	@ Silkeborg	W 3-2	1544	1525	32.2%	24.1%	43.6%	+6.2	12
2019-09-23	Horsens	W 2-1	1648	1546	59.8%	20.1%	20.1%	+3.3	14
2019-09-23	@ Randers	L 1-2	1546	1648	20.1%	20.1%	59.8%	-3.3	10
2019-09-27	Hobro	W 2-1	1550	1602	38.9%	24.4%	36.7%	+5.7	15
2019-09-27	@ Lyngby	L 1-2	1602	1550	36.7%	24.4%	38.9%	-5.7	12
2019-09-28	Silkeborg	W 4-2	1792	1519	78.8%	10.8%	10.4%	+2.3	25
2019-09-28	@ FC Copenhagen	L 2-4	1519	1792	10.4%	10.8%	78.8%	-2.3	3
2019-09-29	Randers	L 0-3	1657	1651	47.1%	23.7%	29.2%	-20.2	13
2019-09-29	@ Aalborg	W 3-0	1651	1657	29.2%	23.7%	47.1%	+20.2	17
2019-09-29	Nordsjaelland	W 3-1	1710	1675	51.1%	22.9%	26.1%	+7.5	20
2019-09-29	@ Aarhus GF	L 1-3	1675	1710	26.1%	22.9%	51.1%	-7.5	16
2019-09-29	Odense	L 0-1	1797	1676	62.2%	19.2%	18.7%	-9.2	26
2019-09-29	@ Midtjylland	W 1-0	1676	1797	18.7%	19.2%	62.2%	+9.2	17
2019-09-29	Brondby	W 2-1	1623	1705	34.7%	24.3%	40.9%	+6.2	15
2019-09-29	@ Sonderjyske	L 1-2	1705	1623	40.9%	24.3%	34.7%	-6.2	16
2019-09-30	Esbjerg	D 1-1	1542	1603	37.6%	24.4%	37.9%	+0.0	11
2019-09-30	@ Horsens	D 1-1	1603	1542	37.9%	24.4%	37.6%	-0.0	9
2019-10-04	Lyngby	D 1-1	1668	1556	61.0%	19.7%	19.4%	-1.5	17
2019-10-04	@ Nordsjaelland	D 1-1	1556	1668	19.4%	19.7%	61.0%	+1.5	16
2019-10-05	Aalborg	L 0-2	1597	1637	40.6%	24.4%	35.1%	-12.4	12
2019-10-05	@ Hobro	W 2-0	1637	1597	35.1%	24.4%	40.6%	+12.4	16
2019-10-06	FC Copenhagen	W 3-1	1698	1794	32.9%	24.2%	42.9%	+11.2	19
2019-10-06	@ Brondby	L 1-3	1794	1698	42.9%	24.2%	32.9%	-11.2	25
2019-10-06	Sonderjyske	L 1-2	1603	1629	42.6%	24.2%	33.2%	-6.4	9
2019-10-06	@ Esbjerg	W 2-1	1629	1603	33.2%	24.2%	42.6%	+6.4	18
2019-10-06	Horsens	W 3-0	1685	1542	64.7%	18.1%	17.2%	+8.1	20
2019-10-06	@ Odense	L 0-3	1542	1685	17.2%	18.1%	64.7%	-8.1	11
2019-10-06	Aarhus GF	W 2-0	1671	1718	39.7%	24.4%	35.9%	+11.3	20
2019-10-06	@ Randers	L 0-2	1718	1671	35.9%	24.4%	39.7%	-11.3	20
2019-10-06	Midtjylland	L 1-2	1517	1788	16.7%	17.6%	65.8%	-2.7	3
2019-10-06	@ Silkeborg	W 2-1	1788	1517	65.8%	17.6%	16.7%	+2.7	29
2019-10-18	Odense	W 1-0	1649	1693	40.1%	24.4%	35.5%	+5.9	19
2019-10-18	@ Aalborg	L 0-1	1693	1649	35.5%	24.4%	40.1%	-5.9	20
2019-10-20	Silkeborg	L 3-4	1706	1514	70.4%	15.3%	14.3%	-8.8	20
2019-10-20	@ Aarhus GF	W 4-3	1514	1706	14.3%	15.3%	70.4%	+8.8	6
2019-10-20	Esbjerg	W 3-1	1783	1596	69.8%	15.6%	14.6%	+4.0	28
2019-10-20	@ FC Copenhagen	L 1-3	1596	1783	14.6%	15.6%	69.8%	-4.0	9
2019-10-20	Hobro	W 1-0	1534	1584	39.2%	24.4%	36.4%	+6.0	14
2019-10-20	@ Horsens	L 0-1	1584	1534	36.4%	24.4%	39.2%	-6.1	12
2019-10-20	Brondby	L 0-3	1558	1710	26.3%	22.9%	50.7%	-12.6	16
2019-10-20	@ Lyngby	W 3-0	1710	1558	50.7%	22.9%	26.3%	+12.6	22
2019-10-20	Nordsjaelland	L 1-4	1636	1666	41.9%	24.3%	33.8%	-15.6	18
2019-10-20	@ Sonderjyske	W 4-1	1666	1636	33.8%	24.3%	41.9%	+15.6	20
2019-10-21	Randers	W 2-1	1791	1683	60.5%	19.9%	19.7%	+3.2	32
2019-10-21	@ Midtjylland	L 1-2	1683	1791	19.7%	19.9%	60.5%	-3.2	20
2019-10-25	Midtjylland	L 1-2	1593	1794	21.7%	21.1%	57.2%	-3.6	9
2019-10-25	@ Esbjerg	W 2-1	1794	1593	57.2%	21.1%	21.7%	+3.6	35
2019-10-27	Randers	W 5-2	1722	1679	52.1%	22.6%	25.3%	+8.9	25
2019-10-27	@ Brondby	L 2-5	1679	1722	25.3%	22.6%	52.1%	-8.9	20
2019-10-27	Silkeborg	D 1-1	1578	1523	53.8%	22.2%	24.1%	-1.0	13
2019-10-27	@ Hobro	D 1-1	1523	1578	24.1%	22.2%	53.8%	+1.0	7
2019-10-27	Horsens	W 2-1	1545	1540	46.9%	23.7%	29.4%	+4.8	19
2019-10-27	@ Lyngby	L 1-2	1540	1545	29.4%	23.7%	46.9%	-4.8	14
2019-10-27	Nordsjaelland	W 3-1	1687	1682	47.0%	23.7%	29.3%	+8.3	23
2019-10-27	@ Odense	L 1-3	1682	1687	29.3%	23.7%	47.0%	-8.3	20
2019-10-27	Aalborg	L 1-3	1620	1655	41.3%	24.3%	34.4%	-10.9	18
2019-10-27	@ Sonderjyske	W 3-1	1655	1620	34.4%	24.3%	41.3%	+10.9	22
2019-10-28	FC Copenhagen	L 1-2	1698	1787	33.7%	24.3%	42.0%	-5.4	20
2019-10-28	@ Aarhus GF	W 2-1	1787	1698	42.0%	24.3%	33.7%	+5.4	31
2019-11-01	Horsens	D 1-1	1589	1535	53.5%	22.2%	24.2%	-1.0	10
2019-11-01	@ Esbjerg	D 1-1	1535	1589	24.2%	22.2%	53.5%	+1.0	15
2019-11-03	Midtjylland	L 0-1	1666	1797	28.6%	23.5%	47.9%	-5.0	22
2019-11-03	@ Aalborg	W 1-0	1797	1666	47.9%	23.5%	28.6%	+5.0	38
2019-11-03	Sonderjyske	W 3-0	1792	1609	69.4%	15.8%	14.8%	+6.8	34
2019-11-03	@ FC Copenhagen	L 0-3	1609	1792	14.8%	15.8%	69.4%	-6.8	18
2019-11-03	Aarhus GF	L 0-1	1674	1692	43.7%	24.1%	32.2%	-6.9	20
2019-11-03	@ Nordsjaelland	W 1-0	1692	1674	32.2%	24.1%	43.7%	+7.0	23
2019-11-03	Hobro	W 2-1	1695	1577	61.8%	19.3%	18.9%	+3.1	26
2019-11-03	@ Odense	L 1-2	1577	1695	18.9%	19.3%	61.8%	-3.1	13
2019-11-03	Lyngby	W 2-1	1671	1550	62.1%	19.2%	18.7%	+3.1	23
2019-11-03	@ Randers	L 1-2	1550	1671	18.7%	19.2%	62.1%	-3.1	19
2019-11-04	Brondby	L 0-1	1524	1731	21.2%	20.8%	58.0%	-3.7	7
2019-11-04	@ Silkeborg	W 1-0	1731	1524	58.0%	20.8%	21.2%	+3.7	28
2019-11-08	Aalborg	D 3-3	1674	1661	48.0%	23.5%	28.5%	-0.4	24
2019-11-08	@ Randers	D 3-3	1661	1674	28.5%	23.5%	48.0%	+0.4	23
2019-11-09	Silkeborg	W 2-1	1536	1520	48.5%	23.4%	28.1%	+4.6	18
2019-11-09	@ Horsens	L 1-2	1520	1536	28.1%	23.4%	48.5%	-4.6	7
2019-11-10	Sonderjyske	W 4-2	1699	1602	59.1%	20.4%	20.5%	+5.2	26
2019-11-10	@ Aarhus GF	L 2-4	1602	1699	20.5%	20.4%	59.1%	-5.2	18
2019-11-10	Esbjerg	W 2-1	1735	1588	65.2%	17.8%	17.0%	+2.7	31
2019-11-10	@ Brondby	L 1-2	1588	1735	17.0%	17.8%	65.2%	-2.7	10
2019-11-10	Nordsjaelland	D 2-2	1574	1667	33.3%	24.2%	42.5%	+0.2	14
2019-11-10	@ Hobro	D 2-2	1667	1574	42.5%	24.2%	33.3%	-0.2	21
2019-11-10	Odense	W 4-3	1547	1698	26.4%	22.9%	50.7%	+6.8	22
2019-11-10	@ Lyngby	L 3-4	1698	1547	50.7%	22.9%	26.4%	-6.8	26
2019-11-10	FC Copenhagen	W 4-1	1802	1799	46.7%	23.7%	29.5%	+11.8	41
2019-11-10	@ Midtjylland	L 1-4	1799	1802	29.5%	23.7%	46.7%	-11.8	34
2019-11-22	Randers	W 3-0	1666	1673	45.3%	23.9%	30.8%	+14.5	24
2019-11-22	@ Nordsjaelland	L 0-3	1673	1666	30.8%	23.9%	45.3%	-14.5	24
2019-11-24	Horsens	W 4-0	1662	1541	62.1%	19.2%	18.7%	+11.6	26
2019-11-24	@ Aalborg	L 0-4	1541	1662	18.7%	19.2%	62.1%	-11.6	18
2019-11-24	Brondby	W 2-1	1704	1738	41.6%	24.3%	34.1%	+5.4	29
2019-11-24	@ Aarhus GF	L 1-2	1738	1704	34.1%	24.3%	41.6%	-5.4	31
2019-11-24	Hobro	W 2-1	1787	1574	72.7%	14.1%	13.2%	+2.0	37
2019-11-24	@ FC Copenhagen	L 1-2	1574	1787	13.2%	14.1%	72.7%	-2.0	14
2019-11-24	Esbjerg	L 1-2	1516	1585	36.4%	24.4%	39.2%	-5.7	7
2019-11-24	@ Silkeborg	W 2-1	1585	1516	39.2%	24.4%	36.4%	+5.7	13
2019-11-24	Lyngby	D 2-2	1597	1554	52.2%	22.6%	25.2%	-0.7	19
2019-11-24	@ Sonderjyske	D 2-2	1554	1597	25.2%	22.6%	52.2%	+0.7	23
2019-11-25	Midtjylland	L 1-2	1692	1814	29.6%	23.7%	46.7%	-4.8	26
2019-11-25	@ Odense	W 2-1	1814	1692	46.7%	23.7%	29.6%	+4.8	44
2019-11-29	Nordsjaelland	D 1-1	1554	1681	29.1%	23.6%	47.3%	+0.6	24
2019-11-29	@ Lyngby	D 1-1	1681	1554	47.3%	23.6%	29.1%	-0.6	25
2019-12-01	Hobro	D 1-1	1673	1572	59.6%	20.2%	20.2%	-1.4	27
2019-12-01	@ Aalborg	D 1-1	1572	1673	20.2%	20.2%	59.6%	+1.4	15
2019-12-01	Aarhus GF	L 1-2	1591	1710	30.0%	23.8%	46.2%	-4.9	13
2019-12-01	@ Esbjerg	W 2-1	1710	1591	46.2%	23.8%	30.0%	+4.9	32
2019-12-01	Brondby	W 2-1	1789	1732	54.0%	22.1%	23.9%	+4.0	40
2019-12-01	@ FC Copenhagen	L 1-2	1732	1789	23.9%	22.1%	54.0%	-4.0	31
2019-12-01	Odense	W 2-1	1529	1687	25.8%	22.8%	51.5%	+7.5	21
2019-12-01	@ Horsens	L 1-2	1687	1529	51.5%	22.8%	25.8%	-7.5	26
2019-12-01	Sonderjyske	W 3-0	1659	1596	54.7%	21.9%	23.4%	+11.3	27
2019-12-01	@ Randers	L 0-3	1596	1659	23.4%	21.9%	54.7%	-11.3	19
2019-12-02	Silkeborg	W 2-1	1819	1510	82.1%	8.9%	9.0%	+1.2	47
2019-12-02	@ Midtjylland	L 1-2	1510	1819	9.0%	8.9%	82.1%	-1.2	7
2019-12-06	Horsens	D 0-0	1574	1537	51.3%	22.8%	25.9%	-1.0	16
2019-12-06	@ Hobro	D 0-0	1537	1574	25.9%	22.8%	51.3%	+1.0	22
2019-12-08	Lyngby	D 1-1	1715	1555	66.7%	17.1%	16.2%	-1.8	33
2019-12-08	@ Aarhus GF	D 1-1	1555	1715	16.2%	17.1%	66.7%	+1.8	25
2019-12-08	Midtjylland	L 1-2	1728	1820	33.4%	24.2%	42.4%	-5.3	31
2019-12-08	@ Brondby	W 2-1	1820	1728	42.4%	24.2%	33.4%	+5.3	50
2019-12-08	FC Copenhagen	L 0-1	1680	1793	30.7%	23.9%	45.4%	-5.3	25
2019-12-08	@ Nordsjaelland	W 1-0	1793	1680	45.4%	23.9%	30.7%	+5.3	43
2019-12-08	Randers	W 2-1	1509	1670	25.4%	22.6%	52.0%	+7.5	10
2019-12-08	@ Silkeborg	L 1-2	1670	1509	52.0%	22.6%	25.4%	-7.5	27
2019-12-08	Esbjerg	W 2-1	1585	1586	46.2%	23.8%	30.0%	+4.9	22
2019-12-08	@ Sonderjyske	L 1-2	1586	1585	30.0%	23.8%	46.2%	-4.9	13
2019-12-09	Aalborg	D 0-0	1679	1672	47.3%	23.6%	29.0%	-0.7	27
2019-12-09	@ Odense	D 0-0	1672	1679	29.0%	23.6%	47.3%	+0.7	28
2019-12-13	Nordsjaelland	L 1-3	1672	1675	45.9%	23.8%	30.2%	-11.8	28
2019-12-13	@ Aalborg	W 3-1	1675	1672	30.2%	23.8%	45.9%	+11.8	28
2019-12-15	Hobro	D 1-1	1723	1573	65.6%	17.6%	16.7%	-1.7	32
2019-12-15	@ Brondby	D 1-1	1573	1723	16.7%	17.6%	65.6%	+1.7	17
2019-12-15	Sonderjyske	W 2-1	1538	1590	38.9%	24.4%	36.7%	+5.7	25
2019-12-15	@ Horsens	L 1-2	1590	1538	36.7%	24.4%	38.9%	-5.7	22
2019-12-15	Silkeborg	W 1-0	1557	1516	51.8%	22.7%	25.5%	+4.5	28
2019-12-15	@ Lyngby	L 0-1	1516	1557	25.5%	22.7%	51.8%	-4.5	10
2019-12-15	Aarhus GF	L 1-3	1826	1713	61.1%	19.6%	19.3%	-14.8	50
2019-12-15	@ Midtjylland	W 3-1	1713	1826	19.3%	19.6%	61.1%	+14.8	36
2019-12-15	Esbjerg	W 3-0	1663	1581	57.2%	21.1%	21.8%	+10.5	30
2019-12-15	@ Randers	L 0-3	1581	1663	21.8%	21.1%	57.2%	-10.5	13
2019-12-16	Odense	W 2-1	1799	1679	62.0%	19.2%	18.8%	+3.1	46
2019-12-16	@ FC Copenhagen	L 1-2	1679	1799	18.8%	19.2%	62.0%	-3.1	27
2020-02-14	FC Copenhagen	W 1-0	1571	1802	19.4%	19.7%	60.9%	+9.1	16
2020-02-14	@ Esbjerg	L 0-1	1802	1571	60.9%	19.7%	19.4%	-9.1	46
2020-02-16	Brondby	L 0-2	1676	1721	39.8%	24.4%	35.8%	-12.2	27
2020-02-16	@ Odense	W 2-0	1721	1676	35.8%	24.4%	39.8%	+12.2	35
2020-02-16	Aalborg	L 0-2	1512	1661	26.6%	23.0%	50.3%	-8.8	10
2020-02-16	@ Silkeborg	W 2-0	1661	1512	50.3%	23.0%	26.6%	+8.8	31
2020-02-16	Hobro	W 3-1	1584	1574	47.7%	23.6%	28.8%	+8.2	25
2020-02-16	@ Sonderjyske	L 1-3	1574	1584	28.8%	23.6%	47.7%	-8.1	17
2020-02-17	Lyngby	W 2-0	1811	1561	76.5%	12.1%	11.5%	+3.4	53
2020-02-17	@ Midtjylland	L 0-2	1561	1811	11.5%	12.1%	76.5%	-3.4	28
2020-02-19	Horsens	W 6-0	1687	1544	64.8%	18.0%	17.2%	+15.5	31
2020-02-19	@ Nordsjaelland	L 0-6	1544	1687	17.2%	18.0%	64.8%	-15.5	25
2020-02-21	Midtjylland	L 0-2	1566	1814	18.2%	18.8%	63.0%	-5.9	17
2020-02-21	@ Hobro	W 2-0	1814	1566	63.0%	18.8%	18.2%	+5.9	56
2020-02-23	Brondby	W 3-2	1669	1733	37.2%	24.4%	38.4%	+5.6	34
2020-02-23	@ Aalborg	L 2-3	1733	1669	38.4%	24.4%	37.2%	-5.6	35
2020-02-23	Esbjerg	W 2-0	1558	1580	43.2%	24.2%	32.6%	+10.5	31
2020-02-23	@ Lyngby	L 0-2	1580	1558	32.6%	24.2%	43.2%	-10.5	16
2020-02-23	Sonderjyske	W 2-1	1702	1592	60.7%	19.8%	19.5%	+3.2	34
2020-02-23	@ Nordsjaelland	L 1-2	1592	1702	19.5%	19.8%	60.7%	-3.2	25
2020-02-23	Odense	D 0-0	1673	1663	47.6%	23.6%	28.8%	-0.7	31
2020-02-23	@ Randers	D 0-0	1663	1673	28.8%	23.6%	47.6%	+0.7	28
2020-02-23	FC Copenhagen	D 1-1	1503	1793	15.5%	16.5%	67.9%	+1.9	11
2020-02-23	@ Silkeborg	D 1-1	1793	1503	67.9%	16.5%	15.5%	-1.9	47
2020-02-24	Aarhus GF	L 1-2	1528	1728	21.9%	21.1%	57.0%	-3.6	25
2020-02-24	@ Horsens	W 2-1	1728	1528	57.0%	21.1%	21.9%	+3.6	39
2020-02-28	Hobro	D 0-0	1731	1560	68.0%	16.5%	15.5%	-2.1	40
2020-02-28	@ Aarhus GF	D 0-0	1560	1731	15.5%	16.5%	68.0%	+2.1	18
2020-02-29	Nordsjaelland	L 1-2	1569	1705	28.0%	23.4%	48.6%	-4.6	16
2020-02-29	@ Esbjerg	W 2-1	1705	1569	48.6%	23.4%	28.0%	+4.6	37
2020-03-01	Lyngby	W 1-0	1728	1568	66.7%	17.1%	16.2%	+2.7	38
2020-03-01	@ Brondby	L 0-1	1568	1728	16.2%	17.1%	66.7%	-2.7	31
2020-03-01	Aalborg	W 3-2	1791	1675	61.5%	19.5%	19.1%	+3.0	50
2020-03-01	@ FC Copenhagen	L 2-3	1675	1791	19.1%	19.5%	61.5%	-3.0	34
2020-03-01	Randers	L 1-2	1524	1672	26.8%	23.1%	50.2%	-4.4	25
2020-03-01	@ Horsens	W 2-1	1672	1524	50.2%	23.1%	26.8%	+4.4	34
2020-03-01	Silkeborg	D 1-1	1664	1505	66.7%	17.1%	16.2%	-1.8	29
2020-03-01	@ Odense	D 1-1	1505	1664	16.2%	17.1%	66.7%	+1.8	12
2020-03-02	Sonderjyske	W 3-0	1820	1589	74.6%	13.1%	12.3%	+5.4	59
2020-03-02	@ Midtjylland	L 0-3	1589	1820	12.3%	13.1%	74.6%	-5.4	25
2020-03-08	Lyngby	W 3-0	1672	1565	60.3%	19.9%	19.8%	+9.5	37
2020-03-08	@ Aalborg	L 0-3	1565	1672	19.8%	19.9%	60.3%	-9.5	31
2020-03-08	Horsens	L 0-1	1794	1520	78.8%	10.8%	10.4%	-10.9	50
2020-03-08	@ FC Copenhagen	W 1-0	1520	1794	10.4%	10.8%	78.8%	+10.9	28
2020-03-08	Esbjerg	D 1-1	1562	1565	46.0%	23.8%	30.2%	-0.5	19
2020-03-08	@ Hobro	D 1-1	1565	1562	30.2%	23.8%	46.0%	+0.5	17
2020-03-08	Brondby	D 2-2	1710	1731	43.4%	24.1%	32.5%	-0.3	38
2020-03-08	@ Nordsjaelland	D 2-2	1731	1710	32.5%	24.1%	43.4%	+0.3	39
2020-03-08	Midtjylland	L 0-2	1677	1825	26.7%	23.0%	50.3%	-8.8	34
2020-03-08	@ Randers	W 2-0	1825	1677	50.3%	23.0%	26.7%	+8.8	62
2020-03-08	Odense	D 1-1	1584	1662	35.2%	24.4%	40.5%	+0.2	26
2020-03-08	@ Sonderjyske	D 1-1	1662	1584	40.5%	24.4%	35.2%	-0.2	30
2020-03-09	Aarhus GF	W 2-1	1507	1729	20.0%	20.1%	59.9%	+8.4	15
2020-03-09	@ Silkeborg	L 1-2	1729	1507	59.9%	20.1%	20.0%	-8.4	40
2020-05-28	Randers	D 1-1	1721	1668	53.4%	22.2%	24.3%	-1.0	41
2020-05-28	@ Aarhus GF	D 1-1	1668	1721	24.3%	22.2%	53.4%	+1.0	35
2020-05-29	Nordsjaelland	L 0-2	1515	1710	22.3%	21.3%	56.4%	-7.4	15
2020-05-29	@ Silkeborg	W 2-0	1710	1515	56.4%	21.3%	22.3%	+7.4	41
2020-05-31	Aalborg	D 1-1	1565	1682	30.3%	23.9%	45.8%	+0.5	18
2020-05-31	@ Esbjerg	D 1-1	1682	1565	45.8%	23.9%	30.3%	-0.5	38
2020-06-01	Odense	W 1-0	1720	1662	54.1%	22.1%	23.8%	+4.2	44
2020-06-01	@ Aarhus GF	L 0-1	1662	1720	23.8%	22.1%	54.1%	-4.2	30
2020-06-01	FC Copenhagen	L 1-4	1556	1783	19.7%	19.9%	60.4%	-8.0	31
2020-06-01	@ Lyngby	W 4-1	1783	1556	60.4%	19.9%	19.7%	+8.0	53
2020-06-01	Horsens	L 0-1	1834	1531	81.6%	9.2%	9.2%	-11.1	62
2020-06-01	@ Midtjylland	W 1-0	1531	1834	9.2%	9.2%	81.6%	+11.1	31
2020-06-01	Hobro	L 0-1	1669	1562	60.4%	19.9%	19.7%	-9.0	35
2020-06-01	@ Randers	W 1-0	1562	1669	19.7%	19.9%	60.4%	+9.0	22
2020-06-02	Sonderjyske	W 1-0	1731	1584	65.2%	17.8%	17.0%	+2.9	42
2020-06-02	@ Brondby	L 0-1	1584	1731	17.0%	17.8%	65.2%	-2.9	26
2020-06-07	Aarhus GF	L 2-3	1681	1724	40.2%	24.4%	35.4%	-5.8	38
2020-06-07	@ Aalborg	W 3-2	1724	1681	35.4%	24.4%	40.2%	+5.8	47
2020-06-07	Randers	W 2-1	1791	1660	63.3%	18.7%	18.0%	+2.9	56
2020-06-07	@ FC Copenhagen	L 1-2	1660	1791	18.0%	18.7%	63.3%	-2.9	35
2020-06-07	Lyngby	D 2-2	1571	1548	49.4%	23.2%	27.4%	-0.6	23
2020-06-07	@ Hobro	D 2-2	1548	1571	27.4%	23.2%	49.4%	+0.6	32
2020-06-07	Brondby	W 3-2	1542	1734	22.5%	21.5%	56.0%	+7.6	34
2020-06-07	@ Horsens	L 2-3	1734	1542	56.0%	21.5%	22.5%	-7.6	42
2020-06-07	Midtjylland	L 0-1	1717	1823	31.6%	24.1%	44.4%	-5.4	41
2020-06-07	@ Nordsjaelland	W 1-0	1823	1717	44.4%	24.1%	31.6%	+5.4	65
2020-06-07	Esbjerg	W 3-1	1658	1566	58.5%	20.6%	20.9%	+6.0	33
2020-06-07	@ Odense	L 1-3	1566	1658	20.9%	20.6%	58.5%	-6.0	18
2020-06-07	Silkeborg	D 2-2	1581	1508	56.1%	21.4%	22.4%	-0.9	27
2020-06-07	@ Sonderjyske	D 2-2	1508	1581	22.4%	21.4%	56.1%	+0.9	16

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
2020-06-12	Randers	W 4-2	1560	1657	32.7%	24.2%	43.1%	+10.1	3
2020-06-12	@ Esbjerg	L 2-4	1657	1560	43.1%	24.2%	32.7%	-10.1	0
2020-06-13	Horsens	D 1-1	1570	1550	49.1%	23.3%	27.6%	-0.7	1
2020-06-13	@ Hobro	D 1-1	1550	1570	27.6%	23.3%	49.1%	+0.7	1
2020-06-14	Midtjylland	L 0-2	1675	1829	26.2%	22.9%	50.9%	-8.6	0
2020-06-14	@ Aalborg	W 2-0	1829	1675	50.9%	22.9%	26.2%	+8.7	3
2020-06-14	Aarhus GF	D 0-0	1726	1730	45.8%	23.9%	30.4%	-0.6	1
2020-06-14	@ Brondby	D 0-0	1730	1726	30.4%	23.9%	45.8%	+0.6	1
2020-06-14	FC Copenhagen	D 1-1	1712	1794	34.7%	24.3%	41.0%	+0.2	1
2020-06-14	@ Nordsjaelland	D 1-1	1794	1712	41.0%	24.3%	34.7%	-0.2	1
2020-06-14	Lyngby	W 1-0	1580	1549	50.6%	23.0%	26.4%	+4.6	3
2020-06-14	@ Sonderjyske	L 0-1	1549	1580	26.4%	23.0%	50.6%	-4.6	0
2020-06-15	Odense	W 6-0	1508	1664	26.0%	22.8%	51.2%	+41.3	3
2020-06-15	@ Silkeborg	L 0-6	1664	1508	51.2%	22.8%	26.0%	-41.3	0
2020-06-16	Esbjerg	D 2-2	1550	1570	43.5%	24.1%	32.3%	-0.3	2
2020-06-16	@ Horsens	D 2-2	1570	1550	32.3%	24.1%	43.5%	+0.3	4
2020-06-16	Hobro	W 4-0	1647	1570	56.6%	21.3%	22.1%	+13.9	3
2020-06-16	@ Randers	L 0-4	1570	1647	22.1%	21.3%	56.6%	-13.9	1
2020-06-17	Nordsjaelland	W 2-1	1730	1712	48.8%	23.4%	27.8%	+4.6	4
2020-06-17	@ Aarhus GF	L 1-2	1712	1730	27.8%	23.4%	48.8%	-4.6	1
2020-06-17	Aalborg	W 2-0	1794	1667	62.8%	18.9%	18.3%	+6.0	4
2020-06-17	@ FC Copenhagen	L 0-2	1667	1794	18.3%	18.9%	62.8%	-6.0	0
2020-06-18	Silkeborg	D 0-0	1544	1550	45.5%	23.9%	30.6%	-0.6	1
2020-06-18	@ Lyngby	D 0-0	1550	1544	30.6%	23.9%	45.5%	+0.5	4
2020-06-18	Brondby	D 0-0	1837	1726	61.0%	19.7%	19.4%	-1.7	4
2020-06-18	@ Midtjylland	D 0-0	1726	1837	19.4%	19.7%	61.0%	+1.6	2
2020-06-18	Sonderjyske	W 2-0	1623	1585	51.4%	22.8%	25.8%	+8.5	3
2020-06-18	@ Odense	L 0-2	1585	1623	25.8%	22.8%	51.4%	-8.5	3
2020-06-20	Nordsjaelland	L 0-4	1661	1707	39.6%	24.4%	36.0%	-23.1	0
2020-06-20	@ Aalborg	W 4-0	1707	1661	36.0%	24.4%	39.6%	+23.1	4
2020-06-20	Randers	D 0-0	1550	1661	31.0%	24.0%	45.1%	+0.5	3
2020-06-20	@ Horsens	D 0-0	1661	1550	45.1%	24.0%	31.0%	-0.5	4
2020-06-21	FC Copenhagen	D 1-1	1727	1800	36.0%	24.4%	39.6%	+0.1	3
2020-06-21	@ Brondby	D 1-1	1800	1727	39.6%	24.4%	36.0%	-0.1	5
2020-06-21	Hobro	L 1-3	1570	1556	48.3%	23.5%	28.3%	-12.3	4
2020-06-21	@ Esbjerg	W 3-1	1556	1570	28.3%	23.5%	48.3%	+12.3	4
2020-06-21	Aarhus GF	L 3-4	1836	1735	59.6%	20.2%	20.2%	-7.8	4
2020-06-21	@ Midtjylland	W 4-3	1735	1836	20.2%	20.2%	59.6%	+7.8	7
2020-06-21	Sonderjyske	L 1-2	1550	1576	42.6%	24.2%	33.2%	-6.4	4
2020-06-21	@ Silkeborg	W 2-1	1576	1550	33.2%	24.2%	42.6%	+6.4	6
2020-06-22	Odense	L 1-2	1543	1631	33.9%	24.3%	41.8%	-5.4	1
2020-06-22	@ Lyngby	W 2-1	1631	1543	41.8%	24.3%	33.9%	+5.4	6
2020-06-26	Aalborg	L 1-4	1743	1637	60.2%	20.0%	19.9%	-20.7	7
2020-06-26	@ Aarhus GF	W 4-1	1637	1743	19.9%	20.0%	60.2%	+20.7	3
2020-06-27	Silkeborg	W 1-0	1583	1544	51.6%	22.7%	25.7%	+4.5	9
2020-06-27	@ Sonderjyske	L 0-1	1544	1583	25.7%	22.7%	51.6%	-4.5	4
2020-06-28	Midtjylland	L 1-2	1799	1828	42.3%	24.2%	33.5%	-6.4	5
2020-06-28	@ FC Copenhagen	W 2-1	1828	1799	33.5%	24.2%	42.3%	+6.4	7
2020-06-28	Esbjerg	W 2-1	1568	1558	47.7%	23.6%	28.7%	+4.7	7
2020-06-28	@ Hobro	L 1-2	1558	1568	28.7%	23.6%	47.7%	-4.7	4
2020-06-28	Brondby	L 0-2	1730	1727	46.7%	23.7%	29.6%	-13.8	4
2020-06-28	@ Nordsjaelland	W 2-0	1727	1730	29.6%	23.7%	46.7%	+13.8	6
2020-06-28	Horsens	L 0-3	1660	1551	60.7%	19.8%	19.5%	-24.8	4
2020-06-28	@ Randers	W 3-0	1551	1660	19.5%	19.8%	60.7%	+24.8	6
2020-06-29	Lyngby	W 3-1	1636	1538	59.3%	20.3%	20.4%	+5.8	9
2020-06-29	@ Odense	L 1-3	1538	1636	20.4%	20.3%	59.3%	-5.8	1
2020-07-03	Horsens	L 1-2	1553	1575	43.1%	24.2%	32.7%	-6.5	4
2020-07-03	@ Esbjerg	W 2-1	1575	1553	32.7%	24.2%	43.1%	+6.5	9
2020-07-04	Lyngby	W 2-0	1539	1532	47.3%	23.6%	29.1%	+9.5	7
2020-07-04	@ Silkeborg	L 0-2	1532	1539	29.1%	23.6%	47.3%	-9.5	1
2020-07-04	Odense	D 1-1	1587	1642	38.5%	24.4%	37.1%	-0.0	10
2020-07-04	@ Sonderjyske	D 1-1	1642	1587	37.1%	24.4%	38.5%	+0.0	10
2020-07-05	Brondby	W 2-0	1658	1741	34.6%	24.3%	41.1%	+12.5	6
2020-07-05	@ Aalborg	L 0-2	1741	1658	41.1%	24.3%	34.6%	-12.5	6
2020-07-05	FC Copenhagen	W 1-0	1722	1793	36.2%	24.4%	39.4%	+6.4	10
2020-07-05	@ Aarhus GF	L 0-1	1793	1722	39.4%	24.4%	36.2%	-6.4	5
2020-07-05	Randers	L 2-3	1573	1636	37.3%	24.4%	38.2%	-5.5	7
2020-07-05	@ Hobro	W 3-2	1636	1573	38.2%	24.4%	37.3%	+5.5	7
2020-07-05	Midtjylland	L 0-1	1717	1834	30.2%	23.8%	46.0%	-5.2	4
2020-07-05	@ Nordsjaelland	W 1-0	1834	1717	46.0%	23.8%	30.2%	+5.2	10
2020-07-08	Hobro	W 3-2	1582	1567	48.3%	23.4%	28.2%	+4.4	12
2020-07-08	@ Horsens	L 2-3	1567	1582	28.2%	23.4%	48.3%	-4.4	7
2020-07-08	Sonderjyske	D 1-1	1523	1587	37.1%	24.4%	38.5%	+0.0	2
2020-07-08	@ Lyngby	D 1-1	1587	1523	38.5%	24.4%	37.1%	-0.0	11
2020-07-08	Silkeborg	L 1-3	1642	1549	58.7%	20.5%	20.8%	-14.4	10
2020-07-08	@ Odense	W 3-1	1549	1642	20.8%	20.5%	58.7%	+14.4	10
2020-07-08	Esbjerg	W 3-1	1641	1547	58.8%	20.5%	20.7%	+5.9	10
2020-07-08	@ Randers	L 1-3	1547	1641	20.7%	20.5%	58.8%	-5.9	4
2020-07-09	Aarhus GF	W 1-0	1671	1728	38.1%	24.4%	37.5%	+6.2	9
2020-07-09	@ Aalborg	L 0-1	1728	1671	37.5%	24.4%	38.1%	-6.2	10
2020-07-09	Nordsjaelland	W 4-0	1729	1711	48.6%	23.4%	28.0%	+17.4	9
2020-07-09	@ Brondby	L 0-4	1711	1729	28.0%	23.4%	48.6%	-17.4	4
2020-07-09	FC Copenhagen	W 3-1	1839	1787	53.4%	22.2%	24.3%	+7.0	13
2020-07-09	@ Midtjylland	L 1-3	1787	1839	24.3%	22.2%	53.4%	-7.0	5
2020-07-12	Midtjylland	W 3-0	1722	1846	29.4%	23.7%	46.9%	+20.2	13
2020-07-12	@ Aarhus GF	L 0-3	1846	1722	46.9%	23.7%	29.4%	-20.1	13
2020-07-12	Brondby	D 0-0	1780	1746	50.9%	22.9%	26.2%	-0.9	6
2020-07-12	@ FC Copenhagen	D 0-0	1746	1780	26.2%	22.9%	50.9%	+0.9	10
2020-07-12	Aalborg	D 0-0	1694	1677	48.6%	23.4%	28.0%	-0.8	5
2020-07-12	@ Nordsjaelland	D 0-0	1677	1694	28.0%	23.4%	48.6%	+0.8	10
2020-07-17	Nordsjaelland	W 6-3	1826	1693	63.5%	18.6%	17.9%	+5.7	16
2020-07-17	@ Midtjylland	L 3-6	1693	1826	17.9%	18.6%	63.5%	-5.7	5
2020-07-19	Aalborg	L 0-1	1747	1678	55.6%	21.6%	22.8%	-8.4	10
2020-07-19	@ Brondby	W 1-0	1678	1747	22.8%	21.6%	55.6%	+8.4	13
2020-07-19	Aarhus GF	L 2-4	1779	1742	51.2%	22.8%	25.9%	-11.5	6
2020-07-19	@ FC Copenhagen	W 4-2	1742	1779	25.9%	22.8%	51.2%	+11.5	16
2020-07-22	Midtjylland	D 1-1	1739	1832	33.2%	24.2%	42.6%	+0.3	11
2020-07-22	@ Brondby	D 1-1	1832	1739	42.6%	24.2%	33.2%	-0.3	17
2020-07-22	Aarhus GF	D 1-1	1688	1754	36.8%	24.4%	38.7%	+0.1	6
2020-07-22	@ Nordsjaelland	D 1-1	1754	1688	38.7%	24.4%	36.8%	-0.1	17
2020-07-23	FC Copenhagen	L 0-1	1686	1767	34.8%	24.3%	40.8%	-5.9	13
2020-07-23	@ Aalborg	W 1-0	1767	1686	40.8%	24.3%	34.8%	+5.8	9
2020-07-26	Brondby	L 0-1	1754	1739	48.4%	23.4%	28.2%	-7.5	17
2020-07-26	@ Aarhus GF	W 1-0	1739	1754	28.2%	23.4%	48.4%	+7.5	14
2020-07-26	Nordsjaelland	W 2-1	1773	1688	57.7%	20.9%	21.4%	+3.5	12
2020-07-26	@ FC Copenhagen	L 1-2	1688	1773	21.4%	20.9%	57.7%	-3.5	6
2020-07-26	Aalborg	L 1-2	1832	1680	65.7%	17.6%	16.7%	-9.0	17
2020-07-26	@ Midtjylland	W 2-1	1680	1832	16.7%	17.6%	65.7%	+9.0	16

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
2020-07-11	Odense	W 2-1	1647	1628	48.9%	23.3%	27.8%	+4.6	1-0
2020-07-11	@ Randers	L 1-2	1628	1647	27.8%	23.3%	48.9%	-4.6	0-1
2020-07-13	Lyngby	L 1-2	1563	1523	51.7%	22.7%	25.6%	-7.5	0-1
2020-07-13	@ Hobro	W 2-1	1523	1563	25.6%	22.7%	51.7%	+7.5	1-0
2020-07-19	Randers	W 2-0	1623	1652	42.3%	24.2%	33.4%	+10.7	1-1
2020-07-19	@ Odense	L 0-2	1652	1623	33.4%	24.2%	42.3%	-10.7	1-1
2020-07-20	Hobro	D 2-2	1530	1555	42.8%	24.2%	33.0%	-0.2	1-0-1
2020-07-20	@ Lyngby	D 2-2	1555	1530	33.0%	24.2%	42.8%	+0.2	0-1-1
2020-07-23	Horsens	W 3-1	1634	1586	52.8%	22.4%	24.8%	+7.1	2-1
2020-07-23	@ Odense	L 1-3	1586	1634	24.8%	22.4%	52.8%	-7.1	0-1
2020-07-26	Odense	D 1-1	1579	1641	37.5%	24.4%	38.1%	+0.0	0-1-1
2020-07-26	@ Horsens	D 1-1	1641	1579	38.1%	24.4%	37.5%	-0.0	2-1-1
2020-07-29	Odense	W 2-1	1746	1641	60.2%	20.0%	19.9%	+3.3	1-0
2020-07-29	@ Aarhus GF	L 1-2	1641	1746	19.9%	20.0%	60.2%	-3.3	2-2-1

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	2020-06-01	9.20%	Horsens	1531	1	@ Midtjylland	1834	0
2	2020-03-08	10.39%	Horsens	1520	1	@ FC Copenhagen	1794	0
3	2019-10-20	14.28%	Silkeborg	1514	4	@ Aarhus GF	1706	3
4	2019-08-04	15.98%	Horsens	1571	2	@ Brondby	1733	1
5	2020-07-26	16.68%	Aalborg	1680	2	@ Midtjylland	1832	1
6	2019-09-29	18.67%	Odense	1676	1	@ Midtjylland	1797	0
7	2019-12-15	19.30%	Aarhus GF	1713	3	@ Midtjylland	1826	1
8	2020-02-14	19.39%	@ Esbjerg	1571	1	FC Copenhagen	1802	0
9	2020-06-28	19.52%	Horsens	1551	3	@ Randers	1660	0
10	2020-06-01	19.71%	Hobro	1562	1	@ Randers	1669	0
11	2020-06-26	19.85%	Aalborg	1637	4	@ Aarhus GF	1743	1
12	2020-03-09	20.01%	@ Silkeborg	1507	2	Aarhus GF	1729	1
13	2020-06-21	20.21%	Aarhus GF	1735	4	@ Midtjylland	1836	3
14	2020-07-08	20.77%	Silkeborg	1549	3	@ Odense	1642	1
15	2019-09-15	21.31%	@ Hobro	1594	2	FC Copenhagen	1801	1
16	2019-08-25	22.35%	Aarhus GF	1663	3	@ Brondby	1737	0
17	2020-06-07	22.54%	@ Horsens	1542	3	Brondby	1734	2
18	2020-07-19	22.80%	Aalborg	1678	1	@ Brondby	1747	0
19	2019-12-08	25.37%	@ Silkeborg	1509	2	Randers	1670	1
20	2020-07-13 *	25.57%	Lyngby	1523	2	@ Hobro	1563	1
21	2019-12-01	25.77%	@ Horsens	1529	2	Odense	1687	1
22	2020-07-19	25.95%	Aarhus GF	1742	4	@ FC Copenhagen	1779	2
23	2020-06-15	25.98%	@ Silkeborg	1508	6	Odense	1664	0
24	2019-11-10	26.36%	@ Lyngby	1547	4	Odense	1698	3
25	2019-09-01	27.53%	@ Aalborg	1668	1	FC Copenhagen	1808	0

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	2020-06-15	41.34	@ Silkeborg	6	1508	25.98%	Odense	0	1664	51.19%
2	2019-08-26	26.13	Aalborg	5	1641	40.17%	@ Horsens	0	1565	35.45%
3	2020-06-28	24.75	Horsens	3	1551	19.52%	@ Randers	0	1660	60.72%
4	2019-08-25	23.31	Aarhus GF	3	1663	22.35%	@ Brondby	0	1737	56.26%
5	2020-06-20	23.09	Nordsjaelland	4	1707	35.96%	@ Aalborg	0	1661	39.64%
6	2019-07-21	20.91	Horsens	3	1557	27.59%	@ Silkeborg	0	1577	49.12%
7	2020-06-26	20.72	Aalborg	4	1637	19.85%	@ Aarhus GF	1	1743	60.17%
8	2019-09-29	20.22	Randers	3	1651	29.24%	@ Aalborg	0	1657	47.09%
9	2020-07-12	20.16	@ Aarhus GF	3	1722	29.40%	Midtjylland	0	1846	46.90%
10	2019-09-15	19.03	Randers	3	1629	32.26%	@ Esbjerg	0	1610	43.61%
11	2019-08-11	18.64	@ Aalborg	4	1626	45.88%	Esbjerg	0	1629	30.27%
12	2020-07-09	17.41	@ Brondby	4	1729	48.64%	Nordsjaelland	0	1711	27.97%
13	2019-07-26	17.25	Sonderjyske	3	1619	37.18%	@ Lyngby	0	1564	38.39%
14	2019-07-14	15.76	Nordsjaelland	3	1659	41.55%	@ Horsens	0	1573	34.15%
15	2019-10-20	15.57	Nordsjaelland	4	1666	33.77%	@ Sonderjyske	1	1636	41.95%
16	2020-02-19	15.45	@ Nordsjaelland	6	1687	64.79%	Horsens	0	1544	17.19%
17	2019-12-15	14.83	Aarhus GF	3	1713	19.30%	@ Midtjylland	1	1826	61.08%
18	2019-11-22	14.47	@ Nordsjaelland	3	1666	45.32%	Randers	0	1673	30.75%
19	2020-07-08	14.37	Silkeborg	3	1549	20.77%	@ Odense	1	1642	58.68%
20	2020-06-16	13.90	@ Randers	4	1647	56.64%	Hobro	0	1570	22.09%
21	2020-06-28	13.83	Brondby	2	1727	29.56%	@ Nordsjaelland	0	1730	46.72%
22	2019-09-16	13.66	Odense	3	1669	47.67%	@ Silkeborg	0	1539	28.77%
23	2019-09-15	13.43	@ Aarhus GF	3	1690	48.35%	Aalborg	0	1675	28.21%
24	2019-08-25	12.70	@ Lyngby	2	1546	33.84%	Randers	0	1634	41.88%
25	2019-10-20	12.62	Brondby	3	1710	50.74%	@ Lyngby	0	1558	26.32%