2021-22 Superliga Season

192 games · 2 promotion-playoff teams · 100,000 simulations

Final

Champion

FC Copenhagen

68 points

Relegated

No relegation

Biggest Overachiever

Midtjylland

9.29 points above expected

65 points · 55.71 expected points

Biggest Disappointment

Aarhus GF

12.95 points below expected

30 points · 42.95 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	22	14	6	2	48	43	13	+30	36.6	+11.37
2	Midtjylland	22	13	3	6	42	37	22	+15	36.3	+5.71
3	Brondby	22	11	7	4	40	30	24	+6	32.7	+7.30
4	Aalborg	22	11	5	6	38	36	26	+10	30.7	+7.29
5	Randers	22	9	6	7	33	26	25	+1	29.4	+3.61
6	Silkeborg	22	7	10	5	31	34	21	+13	29.9	+1.08
7	Viborg	22	6	9	7	27	31	33	-2	26.9	+0.15
8	Aarhus GF	22	6	8	8	26	24	29	-5	29.1	-3.09
9	Odense	22	4	9	9	21	31	35	-4	28.1	-7.08
10	Nordsjaelland	22	5	6	11	21	24	37	-13	26.8	-5.79
11	Vejle BK	22	4	4	14	16	21	48	-27	21.3	-5.26
12	Sonderjyske	22	2	7	13	13	17	41	-24	22.6	-9.57

#	Team	GP	W	D	L	Pts	GF	GA	GD	SimPts	vsSim
1	FC Copenhagen	32	20	8	4	68	56	19	+37	66.6	+1.43
2	Midtjylland	32	20	5	7	65	59	33	+26	55.7	+9.29
3	Silkeborg	32	13	10	9	49	54	37	+17	43.0	+6.02
4	Brondby	32	13	9	10	48	40	41	-1	53.0	-5.03
5	Aalborg	32	13	6	13	45	47	45	+2	51.0	-6.01
6	Randers	32	12	7	13	43	36	42	-6	42.1	+0.91
7	Viborg	32	10	14	8	44	45	43	+2	44.0	+0.03
8	Odense	32	8	14	10	38	45	46	-1	35.1	+2.91
9	Nordsjaelland	32	8	12	12	36	38	47	-9	33.5	+2.49
10	Aarhus GF	32	6	12	14	30	31	43	-12	43.0	-12.95
11	Vejle BK	32	7	8	17	29	31	60	-29	26.1	+2.90
12	Sonderjyske	32	4	11	17	23	28	54	-26	22.5	+0.48

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.

Finals

Viborg 3

Aalborg 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
FC Copenhagen	1796	68	36.63	+31.37	98.2%	16	27	33	37	41	46	55
Midtjylland	1770	65	36.29	+28.71	86.1%	15	27	32	36	40	46	58
Silkeborg	1698	49	29.92	+19.08	61.4%	11	21	26	30	34	39	50
Brondby	1665	48	32.70	+15.30	91.0%	9	23	29	33	37	42	54
Viborg	1647	44	26.85	+17.15	55.6%	8	18	23	27	31	36	52
Aalborg	1638	45	30.71	+14.29	91.7%	12	21	27	31	35	40	51
Randers	1619	43	29.39	+13.61	76.5%	9	20	26	29	33	39	51
Odense	1612	38	28.08	+9.92	12.1%	8	19	24	28	32	37	49
Nordsjaelland	1597	36	26.79	+9.21	17.6%	7	18	23	27	30	36	53
Aarhus GF	1589	30	29.09	+0.91	32.1%	11	20	25	29	33	38	50
Vejle BK	1523	29	21.26	+7.74	19.2%	3	13	17	21	25	31	42
Sonderjyske	1515	23	22.57	+0.43	3.9%	5	14	19	22	26	32	45

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	FC	MID	NOR	ODE	RAN	SIL	SON	VB	VIB
Aalborg	—	1-0-1 2.76	2-0-2 5.23	0-1-3 4.12	1-0-3 4.42	2-0-0 2.76	2-0-0 2.96	1-3-0 5.56	0-1-3 5.10	2-0-0 3.54	1-1-0 3.45	1-0-1 3.09
Aarhus GF	1-0-1 2.47	—	0-2-0 2.28	0-1-1 2.14	1-0-1 1.82	0-3-1 5.88	0-2-2 5.25	0-0-2 2.58	1-1-0 2.49	2-1-1 6.82	1-1-2 6.91	0-1-3 5.42
Brondby	2-0-2 5.24	0-2-0 3.02	—	1-1-2 4.15	2-1-1 4.11	1-0-1 3.17	1-1-0 3.04	1-1-2 5.81	2-1-1 5.36	1-0-1 3.78	1-1-0 3.59	1-1-0 3.07
FC Copenhagen	3-1-0 6.52	1-1-0 3.17	2-1-1 6.49	—	2-1-1 5.80	2-0-0 3.72	2-0-0 3.22	3-0-1 7.22	1-2-1 6.32	1-1-0 3.75	2-0-0 3.98	1-1-0 3.68
Midtjylland	3-0-1 6.12	1-0-1 3.58	1-1-2 6.52	1-1-2 4.70	—	1-1-0 3.41	0-1-1 3.28	4-0-0 6.91	4-0-0 6.04	2-0-0 3.81	1-1-0 3.92	2-0-0 3.28
Nordsjaelland	0-0-2 2.46	1-3-0 4.64	1-0-1 2.12	0-0-2 1.76	0-1-1 1.94	—	1-1-2 5.03	0-1-1 2.34	0-1-1 2.31	2-2-0 6.11	2-1-1 6.55	1-2-1 4.89
Odense	0-0-2 2.29	2-2-0 5.22	0-1-1 2.24	0-0-2 2.13	1-1-0 2.03	2-1-1 5.47	—	0-1-1 2.52	0-2-0 2.46	1-3-0 6.60	2-0-2 6.68	0-3-1 5.19
Randers	0-3-1 4.94	2-0-0 2.66	2-1-1 4.71	1-0-3 3.63	0-0-4 3.83	1-1-0 2.90	1-1-0 2.72	—	1-0-3 4.59	1-1-0 3.34	2-0-0 3.22	1-0-1 2.99
Silkeborg	3-1-0 5.37	0-1-1 2.74	1-1-2 5.11	1-2-1 4.25	0-0-4 4.52	1-1-0 2.93	0-2-0 2.77	3-0-1 5.95	—	1-1-0 3.00	2-0-0 3.51	1-1-0 2.81
Sonderjyske	0-0-2 1.84	1-1-2 3.87	1-0-1 1.71	0-1-1 1.71	0-0-2 1.68	0-2-2 4.46	0-3-1 4.04	0-1-1 1.98	0-1-1 2.25	—	2-0-2 5.19	0-2-2 4.08
Vejle BK	0-1-1 1.94	2-1-1 3.81	0-1-1 1.83	0-0-2 1.56	0-1-1 1.60	1-1-2 4.09	2-0-2 3.97	0-0-2 2.13	0-0-2 1.89	2-0-2 5.29	—	0-3-1 4.01
Viborg	1-0-1 2.20	3-1-0 5.07	0-1-1 2.20	0-1-1 1.75	0-0-2 2.05	1-2-1 5.61	1-3-0 5.29	1-0-1 2.26	0-1-1 2.42	2-2-0 6.61	1-3-0 6.68	—

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	5.73%	7.81%	7.55%	2.60%	0.78%	0.52%	25.00%
1	7.81%	16.15%	6.77%	3.12%	1.56%	0.26%	35.68%
2	7.55%	6.77%	8.33%	2.86%	0.78%	0.26%	26.56%
3	2.60%	3.12%	2.86%	—	—	—	8.59%
4	0.78%	1.56%	0.78%	—	—	—	3.12%
5+	0.52%	0.26%	0.26%	—	—	—	1.04%
Total	25.00%	35.68%	26.56%	8.59%	3.12%	1.04%	100%

Summary Statistics

Mean scored	1.33
Mean allowed	1.33
StdDev scored	1.12
StdDev allowed	1.12
Mean total goals/game	2.66
Correlation (home vs away score)	-0.105
Sample size (games)	192

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.25%	9.38%	3.12%	3.12%	—	—	21.88%
1	6.25%	6.25%	9.38%	6.25%	3.12%	—	31.25%
2	12.50%	3.12%	6.25%	—	3.12%	3.12%	28.12%
3	6.25%	3.12%	6.25%	—	—	—	15.62%
4	3.12%	—	—	—	—	—	3.12%
5+	—	—	—	—	—	—	—
Total	34.38%	21.88%	25.00%	9.38%	6.25%	3.12%	100%

Aalborg — Summary Statistics

Mean scored	1.47
Mean allowed	1.41
StdDev scored	1.11
StdDev allowed	1.39
Mean total goals/game	2.88
Correlation (scored vs allowed)	-0.107
Games played	32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.38%	12.50%	9.38%	—	3.12%	—	34.38%
1	9.38%	18.75%	9.38%	3.12%	—	—	40.62%
2	3.12%	—	9.38%	6.25%	—	—	18.75%
3	3.12%	—	3.12%	—	—	—	6.25%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	25.00%	31.25%	31.25%	9.38%	3.12%	—	100%

Aarhus GF — Summary Statistics

Mean scored	0.97
Mean allowed	1.34
StdDev scored	0.90
StdDev allowed	1.07
Mean total goals/game	2.31
Correlation (scored vs allowed)	0.113
Games played	32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	12.50%	3.12%	6.25%	—	—	21.88%
1	12.50%	18.75%	3.12%	3.12%	—	—	37.50%
2	6.25%	15.62%	9.38%	—	3.12%	—	34.38%
3	—	3.12%	3.12%	—	—	—	6.25%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	18.75%	50.00%	18.75%	9.38%	3.12%	—	100%

Brondby — Summary Statistics

Mean scored	1.25
Mean allowed	1.28
StdDev scored	0.88
StdDev allowed	0.99
Mean total goals/game	2.53
Correlation (scored vs allowed)	-0.046
Games played	32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.38%	6.25%	—	—	—	—	15.62%
1	12.50%	12.50%	3.12%	3.12%	—	—	31.25%
2	21.88%	3.12%	3.12%	—	—	—	28.12%
3	9.38%	6.25%	—	—	—	—	15.62%
4	3.12%	—	3.12%	—	—	—	6.25%
5+	—	3.12%	—	—	—	—	3.12%
Total	56.25%	31.25%	9.38%	3.12%	—	—	100%

FC Copenhagen — Summary Statistics

Mean scored	1.75
Mean allowed	0.59
StdDev scored	1.27
StdDev allowed	0.80
Mean total goals/game	2.34
Correlation (scored vs allowed)	0.024
Games played	32

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

Midtjylland — Summary Statistics

Mean scored	1.84
Mean allowed	1.03
StdDev scored	1.27
StdDev allowed	0.90
Mean total goals/game	2.88
Correlation (scored vs allowed)	-0.109
Games played	32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.38%	3.12%	15.62%	—	—	—	28.12%
1	3.12%	15.62%	9.38%	—	3.12%	3.12%	34.38%
2	9.38%	3.12%	12.50%	3.12%	—	—	28.12%
3	—	6.25%	3.12%	—	—	—	9.38%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	21.88%	28.12%	40.62%	3.12%	3.12%	3.12%	100%

Nordsjaelland — Summary Statistics

Mean scored	1.19
Mean allowed	1.47
StdDev scored	0.97
StdDev allowed	1.16
Mean total goals/game	2.66
Correlation (scored vs allowed)	0.005
Games played	32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.12%	—	12.50%	—	—	—	15.62%
1	3.12%	25.00%	9.38%	3.12%	—	—	40.62%
2	3.12%	15.62%	15.62%	6.25%	—	—	40.62%
3	—	—	—	—	—	—	—
4	—	—	—	—	—	—	—
5+	3.12%	—	—	—	—	—	3.12%
Total	12.50%	40.62%	37.50%	9.38%	—	—	100%

Odense — Summary Statistics

Mean scored	1.41
Mean allowed	1.44
StdDev scored	1.10
StdDev allowed	0.84
Mean total goals/game	2.84
Correlation (scored vs allowed)	-0.198
Games played	32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.12%	12.50%	6.25%	6.25%	—	—	28.12%
1	12.50%	15.62%	6.25%	6.25%	—	—	40.62%
2	3.12%	15.62%	3.12%	3.12%	—	—	25.00%
3	—	—	3.12%	—	—	—	3.12%
4	—	3.12%	—	—	—	—	3.12%
5+	—	—	—	—	—	—	—
Total	18.75%	46.88%	18.75%	15.62%	—	—	100%

Randers — Summary Statistics

Mean scored	1.12
Mean allowed	1.31
StdDev scored	0.98
StdDev allowed	0.97
Mean total goals/game	2.44
Correlation (scored vs allowed)	-0.077
Games played	32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	12.50%	6.25%	3.12%	3.12%	—	—	25.00%
1	3.12%	18.75%	9.38%	—	3.12%	—	34.38%
2	—	9.38%	—	3.12%	—	—	12.50%
3	6.25%	3.12%	—	—	—	—	9.38%
4	—	9.38%	6.25%	—	—	—	15.62%
5+	3.12%	—	—	—	—	—	3.12%
Total	25.00%	46.88%	18.75%	6.25%	3.12%	—	100%

Silkeborg — Summary Statistics

Mean scored	1.69
Mean allowed	1.16
StdDev scored	1.60
StdDev allowed	0.99
Mean total goals/game	2.84
Correlation (scored vs allowed)	-0.070
Games played	32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.12%	12.50%	15.62%	—	3.12%	3.12%	37.50%
1	6.25%	21.88%	6.25%	6.25%	—	—	40.62%
2	—	3.12%	9.38%	6.25%	—	—	18.75%
3	3.12%	—	—	—	—	—	3.12%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	12.50%	37.50%	31.25%	12.50%	3.12%	3.12%	100%

Sonderjyske — Summary Statistics

Mean scored	0.88
Mean allowed	1.69
StdDev scored	0.83
StdDev allowed	1.26
Mean total goals/game	2.56
Correlation (scored vs allowed)	-0.131
Games played	32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.38%	9.38%	6.25%	9.38%	3.12%	3.12%	40.62%
1	6.25%	6.25%	6.25%	3.12%	6.25%	—	28.12%
2	6.25%	3.12%	9.38%	3.12%	3.12%	—	25.00%
3	—	3.12%	3.12%	—	—	—	6.25%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	21.88%	21.88%	25.00%	15.62%	12.50%	3.12%	100%

Vejle BK — Summary Statistics

Mean scored	0.97
Mean allowed	1.88
StdDev scored	0.97
StdDev allowed	1.52
Mean total goals/game	2.84
Correlation (scored vs allowed)	-0.091
Games played	32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	3.12%	9.38%	—	—	—	12.50%
1	6.25%	31.25%	3.12%	3.12%	3.12%	—	46.88%
2	12.50%	6.25%	12.50%	3.12%	—	—	34.38%
3	—	—	3.12%	—	—	—	3.12%
4	—	—	—	—	—	—	—
5+	—	—	3.12%	—	—	—	3.12%
Total	18.75%	40.62%	31.25%	6.25%	3.12%	—	100%

Viborg — Summary Statistics

Mean scored	1.41
Mean allowed	1.34
StdDev scored	0.98
StdDev allowed	0.97
Mean total goals/game	2.75
Correlation (scored vs allowed)	0.018
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	Midtjylland	65	55.7	+9.29
2	Silkeborg	49	43.0	+6.02
3	Odense	38	35.1	+2.91
4	Vejle BK	29	26.1	+2.90
5	Nordsjaelland	36	33.5	+2.49

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Aarhus GF	30	43.0	-12.95
2	Aalborg	45	51.0	-6.01
3	Brondby	48	53.0	-5.03
4	Viborg	44	44.0	+0.03
5	Sonderjyske	23	22.5	+0.48

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	Brondby	9	Oct 17 – Mar 6	1 in 5,000
2	Silkeborg	6	Apr 10 – May 6	1 in 691
3	FC Copenhagen	8	Nov 28 – Apr 10	1 in 494
4	Midtjylland	5	Jul 24 – Aug 20	1 in 75
5	Nordsjaelland	4	Aug 2 – Aug 23	1 in 74

Longest Losing Streaks

#	Team	Games	Dates	Probability
1	Brondby	7	Mar 20 – May 1	1 in 2,803
2	Nordsjaelland	5	Aug 27 – Oct 3	1 in 165
3	Aarhus GF	4	Aug 1 – Aug 22	1 in 123
4	Silkeborg	4	Mar 6 – Apr 4	1 in 94
5	Aalborg	4	Apr 18 – May 8	1 in 61

Longest Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Brondby	12	Sep 26 – Mar 13	1 in 43
2	Silkeborg	10	Sep 26 – Feb 27	1 in 26
3	Nordsjaelland	9	Apr 10 – May 21	1 in 26
4	Odense	9	Apr 3 – May 15	1 in 19
5	FC Copenhagen	11	Oct 31 – Apr 10	1 in 15

Longest Winless Streaks

#	Team	Games	Dates	Probability
1	Aarhus GF	14	Feb 25 – May 21	1 in 995
2	Nordsjaelland	13	Aug 27 – Feb 27	1 in 55
3	Sonderjyske	16	Sep 27 – Apr 15	1 in 46
4	Brondby	10	Mar 13 – May 12	1 in 40
5	Midtjylland	5	Nov 7 – Feb 27	1 in 27

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
FC Copenhagen	34.37%	21.24%	14.28%	9.09%	6.94%	5.31%	3.11%	2.57%	1.55%	0.94%	0.47%	0.13%
Midtjylland	29.54%	21.97%	14.62%	10.53%	7.68%	5.39%	4.03%	2.78%	1.77%	0.97%	0.57%	0.15%
Silkeborg	4.82%	7.89%	10.46%	11.76%	11.65%	10.98%	10.63%	9.53%	8.30%	6.68%	4.72%	2.58%
Brondby	11.93%	14.36%	14.05%	12.57%	10.70%	10.13%	8.27%	6.65%	4.68%	3.37%	2.15%	1.14%
Aalborg	6.35%	9.91%	11.58%	11.98%	11.88%	10.87%	9.84%	8.74%	7.23%	5.67%	4.02%	1.93%
Randers	3.99%	6.49%	9.05%	10.41%	10.74%	10.63%	10.79%	11.13%	9.56%	7.96%	6.02%	3.23%
Viborg	1.46%	3.31%	5.12%	6.53%	8.03%	9.07%	10.50%	11.42%	13.39%	12.63%	10.91%	7.63%
Odense	2.31%	4.53%	6.34%	8.36%	9.64%	11.14%	11.21%	10.93%	11.26%	10.50%	8.66%	5.12%
Nordsjaelland	1.47%	3.41%	4.18%	5.90%	7.29%	9.08%	10.61%	11.79%	12.60%	13.27%	12.00%	8.40%
Aarhus GF	3.31%	5.75%	8.19%	9.64%	10.47%	10.76%	11.52%	11.19%	10.17%	8.58%	6.38%	4.04%
Vejle BK	0.18%	0.44%	0.92%	1.40%	2.00%	2.89%	3.92%	5.75%	8.45%	13.81%	22.12%	38.12%
Sonderjyske	0.27%	0.70%	1.21%	1.83%	2.98%	3.75%	5.57%	7.52%	11.04%	15.62%	21.98%	27.53%

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.

Finals

Viborg 3

Aalborg 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	Lost relegation playoff
FC Copenhagen	99.9%	0.1%
Midtjylland	99.7%	0.3%
Brondby	98.6%	1.4%
Aalborg	97.2%	2.9%
Silkeborg	95.5%	4.5%
Randers	93.2%	6.8%
Aarhus GF	92.3%	7.7%
Odense	86.4%	13.6%
Viborg	84.8%	15.2%
Nordsjaelland	77.4%	22.6%
Sonderjyske	40.0%	60.0%
Vejle BK	35.1%	64.9%

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
2021-07-16	Odense	L 1-2	1689	1626	44.9%	33.5%	21.6%	-7.5	0
2021-07-16	@ Midtjylland	W 2-1	1626	1689	21.6%	33.5%	44.9%	+7.5	3
2021-07-18	Brondby	D 1-1	1656	1674	31.9%	38.8%	29.3%	-0.1	1
2021-07-18	@ Aarhus GF	D 1-1	1674	1656	29.3%	38.8%	31.9%	+0.1	1
2021-07-18	Aalborg	D 2-2	1665	1635	39.4%	36.6%	24.0%	-0.4	1
2021-07-18	@ FC Copenhagen	D 2-2	1635	1665	24.0%	36.6%	39.4%	+0.4	1
2021-07-18	Viborg	L 1-2	1637	1617	37.5%	37.4%	25.1%	-6.8	0
2021-07-18	@ Nordsjaelland	W 2-1	1617	1637	25.1%	37.4%	37.5%	+6.8	3
2021-07-18	Randers	L 0-2	1605	1633	30.4%	38.8%	30.8%	-12.0	0
2021-07-18	@ Vejle BK	W 2-0	1633	1605	30.8%	38.8%	30.4%	+12.0	3
2021-07-19	Sonderjyske	D 0-0	1624	1610	36.7%	37.7%	25.6%	-0.4	1
2021-07-19	@ Silkeborg	D 0-0	1610	1624	25.6%	37.7%	36.7%	+0.4	1
2021-07-24	Midtjylland	L 0-1	1635	1682	27.8%	38.5%	33.6%	-6.0	1
2021-07-24	@ Aalborg	W 1-0	1682	1635	33.6%	38.5%	27.8%	+6.0	3
2021-07-25	Viborg	D 1-1	1674	1624	42.5%	35.0%	22.6%	-0.7	2
2021-07-25	@ Brondby	D 1-1	1624	1674	22.6%	35.0%	42.5%	+0.7	4
2021-07-25	Silkeborg	D 0-0	1665	1624	41.1%	35.7%	23.2%	-0.7	2
2021-07-25	@ FC Copenhagen	D 0-0	1624	1665	23.2%	35.7%	41.1%	+0.7	2
2021-07-25	Aarhus GF	D 0-0	1630	1656	30.6%	38.9%	30.6%	+0.0	1
2021-07-25	@ Nordsjaelland	D 0-0	1656	1630	30.6%	38.9%	30.6%	+0.0	2
2021-07-25	Odense	D 1-1	1645	1633	36.4%	37.8%	25.8%	-0.4	4
2021-07-25	@ Randers	D 1-1	1633	1645	25.8%	37.8%	36.4%	+0.4	4
2021-07-26	Vejle BK	W 1-0	1610	1593	37.2%	37.5%	25.3%	+5.6	4
2021-07-26	@ Sonderjyske	L 0-1	1593	1610	25.3%	37.5%	37.2%	-5.6	0
2021-07-31	Midtjylland	L 0-2	1625	1688	26.0%	37.9%	36.1%	-10.7	4
2021-07-31	@ Viborg	W 2-0	1688	1625	36.1%	37.9%	26.0%	+10.7	6
2021-08-01	Randers	L 1-2	1656	1645	36.2%	37.9%	25.9%	-6.7	2
2021-08-01	@ Aarhus GF	W 2-1	1645	1656	25.9%	37.9%	36.2%	+6.7	7
2021-08-01	FC Copenhagen	L 0-2	1634	1664	30.0%	38.8%	31.2%	-11.9	4
2021-08-01	@ Odense	W 2-0	1664	1634	31.2%	38.8%	30.0%	+11.9	5
2021-08-01	Aalborg	D 0-0	1624	1629	33.8%	38.5%	27.7%	-0.2	3
2021-08-01	@ Silkeborg	D 0-0	1629	1624	27.7%	38.5%	33.8%	+0.2	2
2021-08-01	Brondby	D 2-2	1588	1673	23.9%	36.5%	39.6%	+0.4	1
2021-08-01	@ Vejle BK	D 2-2	1673	1588	39.6%	36.5%	23.9%	-0.4	3
2021-08-02	Nordsjaelland	L 0-2	1616	1630	32.4%	38.7%	28.8%	-12.5	4
2021-08-02	@ Sonderjyske	W 2-0	1630	1616	28.8%	38.7%	32.4%	+12.5	4
2021-08-06	Vejle BK	W 4-1	1699	1588	53.0%	27.6%	19.4%	+9.2	9
2021-08-06	@ Midtjylland	L 1-4	1588	1699	19.4%	27.6%	53.0%	-9.2	1
2021-08-06	Viborg	W 4-1	1624	1614	36.1%	37.9%	26.0%	+13.2	6
2021-08-06	@ Silkeborg	L 1-4	1614	1624	26.0%	37.9%	36.1%	-13.2	4
2021-08-08	Aarhus GF	W 2-0	1629	1649	31.5%	38.8%	29.7%	+11.8	5
2021-08-08	@ Aalborg	L 0-2	1649	1629	29.7%	38.8%	31.5%	-11.8	2
2021-08-08	Brondby	W 4-2	1676	1673	35.0%	38.2%	26.8%	+8.5	8
2021-08-08	@ FC Copenhagen	L 2-4	1673	1676	26.8%	38.2%	35.0%	-8.5	3
2021-08-08	Sonderjyske	W 1-0	1651	1604	42.2%	35.1%	22.7%	+5.0	10
2021-08-08	@ Randers	L 0-1	1604	1651	22.7%	35.1%	42.2%	-5.0	4
2021-08-09	Odense	W 3-1	1642	1622	37.7%	37.3%	25.0%	+9.0	7
2021-08-09	@ Nordsjaelland	L 1-3	1622	1642	25.0%	37.3%	37.7%	-9.0	4
2021-08-13	Nordsjaelland	L 0-1	1664	1651	36.5%	37.8%	25.7%	-7.1	3
2021-08-13	@ Brondby	W 1-0	1651	1664	25.7%	37.8%	36.5%	+7.1	10
2021-08-13	Midtjylland	L 0-2	1599	1708	22.1%	34.3%	43.6%	-9.2	4
2021-08-13	@ Sonderjyske	W 2-0	1708	1599	43.6%	34.3%	22.1%	+9.2	12
2021-08-13	Randers	L 1-2	1601	1656	26.8%	38.2%	34.9%	-5.5	4
2021-08-13	@ Viborg	W 2-1	1656	1601	34.9%	38.2%	26.8%	+5.5	13
2021-08-15	FC Copenhagen	L 1-3	1638	1684	27.8%	38.6%	33.6%	-9.8	2
2021-08-15	@ Aarhus GF	W 3-1	1684	1638	33.6%	38.6%	27.8%	+9.8	11
2021-08-15	Silkeborg	D 1-1	1613	1637	30.8%	38.8%	30.3%	-0.0	5
2021-08-15	@ Odense	D 1-1	1637	1613	30.3%	38.8%	30.8%	+0.0	7
2021-08-16	Aalborg	L 0-1	1579	1641	26.1%	38.0%	35.9%	-5.7	1
2021-08-16	@ Vejle BK	W 1-0	1641	1579	35.9%	38.0%	26.1%	+5.7	8
2021-08-20	Silkeborg	W 3-0	1717	1637	47.6%	31.6%	20.8%	+12.3	15
2021-08-20	@ Midtjylland	L 0-3	1637	1717	20.8%	31.6%	47.6%	-12.3	7
2021-08-21	Brondby	D 2-2	1613	1657	28.2%	38.6%	33.2%	+0.1	6
2021-08-21	@ Odense	D 2-2	1657	1613	33.2%	38.6%	28.2%	-0.1	4
2021-08-22	Sonderjyske	W 2-0	1694	1589	52.0%	28.4%	19.6%	+7.7	14
2021-08-22	@ FC Copenhagen	L 0-2	1589	1694	19.6%	28.4%	52.0%	-7.7	4
2021-08-22	Aalborg	D 1-1	1662	1647	36.9%	37.6%	25.5%	-0.4	14
2021-08-22	@ Randers	D 1-1	1647	1662	25.5%	37.6%	36.9%	+0.4	9
2021-08-22	Aarhus GF	W 2-0	1595	1628	29.7%	38.8%	31.4%	+12.2	7
2021-08-22	@ Viborg	L 0-2	1628	1595	31.4%	38.8%	29.7%	-12.2	2
2021-08-23	Vejle BK	W 3-1	1658	1573	48.5%	31.0%	20.5%	+7.2	13
2021-08-23	@ Nordsjaelland	L 1-3	1573	1658	20.5%	31.0%	48.5%	-7.2	1
2021-08-27	Nordsjaelland	W 2-1	1647	1665	31.7%	38.8%	29.5%	+5.9	12
2021-08-27	@ Aalborg	L 1-2	1665	1647	29.5%	38.8%	31.7%	-5.9	13
2021-08-29	Odense	D 2-2	1616	1613	34.9%	38.2%	26.8%	-0.2	3
2021-08-29	@ Aarhus GF	D 2-2	1613	1616	26.8%	38.2%	34.9%	+0.2	7
2021-08-29	Midtjylland	W 2-0	1657	1729	25.0%	37.4%	37.6%	+13.6	7
2021-08-29	@ Brondby	L 0-2	1729	1657	37.6%	37.4%	25.0%	-13.6	15
2021-08-29	Randers	W 2-1	1625	1662	29.2%	38.8%	32.1%	+6.2	10
2021-08-29	@ Silkeborg	L 1-2	1662	1625	32.1%	38.8%	29.2%	-6.2	14
2021-08-29	Viborg	D 2-2	1582	1608	30.6%	38.9%	30.5%	+0.0	5
2021-08-29	@ Sonderjyske	D 2-2	1608	1582	30.5%	38.9%	30.6%	+0.0	8
2021-08-29	FC Copenhagen	L 0-4	1566	1702	20.6%	31.2%	48.2%	-15.8	1
2021-08-29	@ Vejle BK	W 4-0	1702	1566	48.2%	31.2%	20.6%	+15.8	17
2021-09-10	Silkeborg	D 1-1	1670	1631	40.8%	35.9%	23.3%	-0.6	8
2021-09-10	@ Brondby	D 1-1	1631	1670	23.3%	35.9%	40.8%	+0.6	11
2021-09-10	Nordsjaelland	W 2-0	1716	1660	43.6%	34.3%	22.1%	+9.2	18
2021-09-10	@ Midtjylland	L 0-2	1660	1716	22.1%	34.3%	43.6%	-9.2	13
2021-09-12	Vejle BK	W 1-0	1615	1550	45.1%	33.4%	21.6%	+4.7	6
2021-09-12	@ Aarhus GF	L 0-1	1550	1615	21.6%	33.4%	45.1%	-4.7	1
2021-09-12	FC Copenhagen	L 0-2	1655	1718	26.1%	37.9%	36.0%	-10.8	14
2021-09-12	@ Randers	W 2-0	1718	1655	36.0%	37.9%	26.1%	+10.8	20
2021-09-12	Aalborg	L 2-3	1608	1653	28.0%	38.6%	33.4%	-5.4	8
2021-09-12	@ Viborg	W 3-2	1653	1608	33.4%	38.6%	28.0%	+5.4	15
2021-09-13	Sonderjyske	W 2-1	1613	1582	39.5%	36.6%	24.0%	+5.0	10
2021-09-13	@ Odense	L 1-2	1582	1613	24.0%	36.6%	39.5%	-5.0	5
2021-09-17	Odense	W 2-0	1658	1618	40.9%	35.8%	23.2%	+9.7	18
2021-09-17	@ Aalborg	L 0-2	1618	1658	23.2%	35.8%	40.9%	-9.7	10
2021-09-19	Midtjylland	L 0-1	1729	1725	35.0%	38.2%	26.7%	-6.9	20
2021-09-19	@ FC Copenhagen	W 1-0	1725	1729	26.7%	38.2%	35.0%	+6.9	21
2021-09-19	Nordsjaelland	W 3-2	1645	1650	33.6%	38.6%	27.8%	+5.4	17
2021-09-19	@ Randers	L 2-3	1650	1645	27.8%	38.6%	33.6%	-5.4	13
2021-09-19	Brondby	W 1-0	1577	1670	23.2%	35.8%	40.9%	+7.6	8
2021-09-19	@ Sonderjyske	L 0-1	1670	1577	40.9%	35.8%	23.2%	-7.6	8
2021-09-19	Viborg	D 1-1	1546	1602	26.7%	38.2%	35.1%	+0.3	2
2021-09-19	@ Vejle BK	D 1-1	1602	1546	35.1%	38.2%	26.7%	-0.3	9
2021-09-20	Aarhus GF	L 0-2	1632	1620	36.3%	37.8%	25.9%	-13.3	11
2021-09-20	@ Silkeborg	W 2-0	1620	1632	25.9%	37.8%	36.3%	+13.3	9
2021-09-26	Aalborg	W 2-1	1662	1668	33.6%	38.6%	27.8%	+5.6	11
2021-09-26	@ Brondby	L 1-2	1668	1662	27.8%	38.6%	33.6%	-5.6	18
2021-09-26	Randers	W 1-0	1732	1650	48.0%	31.4%	20.6%	+4.4	24
2021-09-26	@ Midtjylland	L 0-1	1650	1732	20.6%	31.4%	48.0%	-4.4	17
2021-09-26	FC Copenhagen	L 1-5	1645	1722	24.6%	37.1%	38.2%	-16.3	13
2021-09-26	@ Nordsjaelland	W 5-1	1722	1645	38.2%	37.1%	24.6%	+16.3	23
2021-09-26	Silkeborg	L 2-4	1546	1618	25.0%	37.4%	37.6%	-8.1	2
2021-09-26	@ Vejle BK	W 4-2	1618	1546	37.6%	37.4%	25.0%	+8.1	14
2021-09-26	Odense	D 1-1	1602	1608	33.5%	38.6%	27.9%	-0.2	10
2021-09-26	@ Viborg	D 1-1	1608	1602	27.9%	38.6%	33.5%	+0.2	11
2021-09-27	Sonderjyske	W 1-0	1633	1584	42.4%	35.0%	22.6%	+5.0	12
2021-09-27	@ Aarhus GF	L 0-1	1584	1633	22.6%	35.0%	42.4%	-5.0	8
2021-10-01	Vejle BK	W 6-0	1608	1538	46.1%	32.7%	21.2%	+24.3	14
2021-10-01	@ Odense	L 0-6	1538	1608	21.2%	32.7%	46.1%	-24.3	2
2021-10-03	Sonderjyske	W 4-0	1662	1579	48.2%	31.2%	20.6%	+15.8	21
2021-10-03	@ Aalborg	L 0-4	1579	1662	20.6%	31.2%	48.2%	-15.8	8
2021-10-03	Viborg	D 1-1	1738	1602	57.5%	24.0%	18.5%	-1.4	24
2021-10-03	@ FC Copenhagen	D 1-1	1602	1738	18.5%	24.0%	57.5%	+1.4	11
2021-10-03	Aarhus GF	W 4-0	1736	1638	50.8%	29.3%	19.9%	+15.0	27
2021-10-03	@ Midtjylland	L 0-4	1638	1736	19.9%	29.3%	50.8%	-15.0	12
2021-10-03	Brondby	D 1-1	1646	1668	31.2%	38.8%	30.0%	-0.0	18
2021-10-03	@ Randers	D 1-1	1668	1646	30.0%	38.8%	31.2%	+0.0	12
2021-10-03	Nordsjaelland	W 4-1	1627	1629	34.2%	38.4%	27.4%	+13.7	17
2021-10-03	@ Silkeborg	L 1-4	1629	1627	27.4%	38.4%	34.2%	-13.7	13
2021-10-15	Silkeborg	D 1-1	1603	1640	29.1%	38.8%	32.1%	+0.1	12
2021-10-15	@ Viborg	D 1-1	1640	1603	32.1%	38.8%	29.1%	-0.1	18
2021-10-17	Vejle BK	W 3-2	1668	1513	60.8%	21.4%	17.8%	+3.0	15
2021-10-17	@ Brondby	L 2-3	1513	1668	17.8%	21.4%	60.8%	-3.0	2
2021-10-17	Midtjylland	D 2-2	1615	1751	20.6%	31.2%	48.2%	+0.8	14
2021-10-17	@ Nordsjaelland	D 2-2	1751	1615	48.2%	31.2%	20.6%	-0.8	28
2021-10-17	Randers	L 1-2	1633	1646	32.6%	38.7%	28.7%	-6.2	14
2021-10-17	@ Odense	W 2-1	1646	1633	28.7%	38.7%	32.6%	+6.2	21
2021-10-17	FC Copenhagen	D 1-1	1563	1736	19.0%	26.2%	54.7%	+1.3	9
2021-10-17	@ Sonderjyske	D 1-1	1736	1563	54.7%	26.2%	19.0%	-1.3	25
2021-10-18	Aalborg	W 1-0	1623	1678	26.9%	38.3%	34.8%	+6.9	15
2021-10-18	@ Aarhus GF	L 0-1	1678	1623	34.8%	38.3%	26.9%	-6.9	21
2021-10-22	Nordsjaelland	W 2-0	1510	1616	22.4%	34.7%	43.0%	+14.7	5
2021-10-22	@ Vejle BK	L 0-2	1616	1510	43.0%	34.7%	22.4%	-14.7	14
2021-10-24	FC Copenhagen	W 2-1	1671	1735	25.9%	37.8%	36.3%	+6.7	18
2021-10-24	@ Brondby	L 1-2	1735	1671	36.3%	37.8%	25.9%	-6.7	25
2021-10-24	Sonderjyske	W 3-2	1751	1565	66.1%	17.1%	16.8%	+2.6	31
2021-10-24	@ Midtjylland	L 2-3	1565	1751	16.8%	17.1%	66.1%	-2.6	9
2021-10-24	Aarhus GF	W 1-0	1652	1630	37.9%	37.3%	24.9%	+5.5	24
2021-10-24	@ Randers	L 0-1	1630	1652	24.9%	37.3%	37.9%	-5.5	15
2021-10-24	Odense	D 1-1	1640	1626	36.6%	37.7%	25.7%	-0.4	19
2021-10-24	@ Silkeborg	D 1-1	1626	1640	25.7%	37.7%	36.6%	+0.4	15
2021-10-25	Viborg	L 2-5	1671	1603	45.6%	33.0%	21.4%	-16.1	21
2021-10-25	@ Aalborg	W 5-2	1603	1671	21.4%	33.0%	45.6%	+16.1	15
2021-10-31	Vejle BK	W 3-0	1728	1525	69.0%	14.8%	16.1%	+7.3	28
2021-10-31	@ FC Copenhagen	L 0-3	1525	1728	16.1%	14.8%	69.0%	-7.4	5
2021-10-31	Aalborg	L 0-2	1601	1655	27.0%	38.3%	34.7%	-11.1	14
2021-10-31	@ Nordsjaelland	W 2-0	1655	1601	34.7%	38.3%	27.0%	+11.1	24
2021-10-31	Midtjylland	L 1-3	1657	1753	23.0%	35.6%	41.4%	-8.3	24
2021-10-31	@ Randers	W 3-1	1753	1657	41.4%	35.6%	23.0%	+8.4	34
2021-10-31	Silkeborg	L 0-6	1562	1640	24.6%	37.0%	38.4%	-28.5	9
2021-10-31	@ Sonderjyske	W 6-0	1640	1562	38.4%	37.0%	24.6%	+28.5	22
2021-10-31	Brondby	L 0-1	1619	1678	26.5%	38.1%	35.3%	-5.8	15
2021-10-31	@ Viborg	W 1-0	1678	1619	35.3%	38.1%	26.5%	+5.8	21
2021-11-01	Aarhus GF	D 0-0	1627	1625	34.8%	38.3%	26.9%	-0.3	16
2021-11-01	@ Odense	D 0-0	1625	1627	26.9%	38.3%	34.8%	+0.3	16
2021-11-05	Nordsjaelland	D 2-2	1614	1590	38.2%	37.1%	24.7%	-0.3	16
2021-11-05	@ Viborg	D 2-2	1590	1614	24.7%	37.1%	38.2%	+0.3	15
2021-11-07	Randers	D 1-1	1666	1649	37.2%	37.5%	25.3%	-0.4	25
2021-11-07	@ Aalborg	D 1-1	1649	1666	25.3%	37.5%	37.2%	+0.4	25
2021-11-07	Midtjylland	W 3-0	1625	1761	20.6%	31.1%	48.3%	+22.8	19
2021-11-07	@ Aarhus GF	L 0-3	1761	1625	48.3%	31.1%	20.6%	-22.8	34
2021-11-07	Odense	W 2-1	1683	1627	43.7%	34.2%	22.1%	+4.6	24
2021-11-07	@ Brondby	L 1-2	1627	1683	22.1%	34.2%	43.7%	-4.6	16
2021-11-07	FC Copenhagen	D 0-0	1668	1736	25.5%	37.7%	36.8%	+0.4	23
2021-11-07	@ Silkeborg	D 0-0	1736	1668	36.8%	37.7%	25.5%	-0.4	29
2021-11-07	Sonderjyske	W 3-1	1518	1534	32.1%	38.8%	29.1%	+10.1	8
2021-11-07	@ Vejle BK	L 1-3	1534	1518	29.1%	38.8%	32.1%	-10.1	9
2021-11-19	Viborg	L 2-3	1622	1613	35.9%	38.0%	26.2%	-6.3	16
2021-11-19	@ Odense	W 3-2	1613	1622	26.2%	38.0%	35.9%	+6.3	19
2021-11-21	Aarhus GF	D 1-1	1735	1648	49.0%	30.7%	20.4%	-1.0	30
2021-11-21	@ FC Copenhagen	D 1-1	1648	1735	20.4%	30.7%	49.0%	+1.0	20
2021-11-21	Brondby	L 1-2	1739	1688	42.7%	34.8%	22.5%	-7.3	34
2021-11-21	@ Midtjylland	W 2-1	1688	1739	22.5%	34.8%	42.7%	+7.3	27
2021-11-21	Silkeborg	D 1-1	1590	1669	24.5%	37.0%	38.5%	+0.5	16
2021-11-21	@ Nordsjaelland	D 1-1	1669	1590	38.5%	37.0%	24.5%	-0.5	24
2021-11-21	Vejle BK	W 4-1	1649	1528	54.9%	26.1%	19.0%	+8.8	28
2021-11-21	@ Randers	L 1-4	1528	1649	19.0%	26.1%	54.9%	-8.8	8
2021-11-22	Aalborg	L 1-3	1524	1666	20.3%	30.4%	49.3%	-7.0	9
2021-11-22	@ Sonderjyske	W 3-1	1666	1524	49.3%	30.4%	20.3%	+7.1	28
2021-11-26	Silkeborg	D 1-1	1649	1668	31.6%	38.8%	29.6%	-0.1	21
2021-11-26	@ Aarhus GF	D 1-1	1668	1649	29.6%	38.8%	31.6%	+0.1	25
2021-11-28	FC Copenhagen	L 1-3	1673	1734	26.2%	38.0%	35.9%	-9.4	28
2021-11-28	@ Aalborg	W 3-1	1734	1673	35.9%	38.0%	26.2%	+9.4	33
2021-11-28	Randers	W 1-0	1695	1658	40.4%	36.1%	23.5%	+5.2	30
2021-11-28	@ Brondby	L 0-1	1658	1695	23.5%	36.1%	40.4%	-5.2	28
2021-11-28	Nordsjaelland	W 2-0	1616	1591	38.4%	37.0%	24.6%	+10.3	19
2021-11-28	@ Odense	L 0-2	1591	1616	24.6%	37.0%	38.4%	-10.2	16
2021-11-28	Sonderjyske	D 1-1	1619	1517	51.7%	28.6%	19.7%	-1.2	20
2021-11-28	@ Viborg	D 1-1	1517	1619	19.7%	28.6%	51.7%	+1.2	10
2021-11-29	Midtjylland	D 1-1	1519	1731	17.7%	20.7%	61.6%	+1.6	9
2021-11-29	@ Vejle BK	D 1-1	1731	1519	61.6%	20.7%	17.7%	-1.6	35
2022-02-18	Aarhus GF	L 2-3	1518	1649	20.8%	31.8%	47.4%	-4.0	10
2022-02-18	@ Sonderjyske	W 3-2	1649	1518	47.4%	31.8%	20.8%	+4.0	24
2022-02-20	Odense	W 2-0	1744	1626	54.3%	26.6%	19.1%	+7.3	36
2022-02-20	@ FC Copenhagen	L 0-2	1626	1744	19.1%	26.6%	54.3%	-7.3	19
2022-02-20	Aalborg	L 0-2	1730	1664	45.3%	33.2%	21.5%	-15.1	35
2022-02-20	@ Midtjylland	W 2-0	1664	1730	21.5%	33.2%	45.3%	+15.1	31
2022-02-20	Brondby	L 0-2	1581	1700	21.4%	33.1%	45.4%	-8.9	16
2022-02-20	@ Nordsjaelland	W 2-0	1700	1581	45.4%	33.1%	21.4%	+8.9	33
2022-02-20	Vejle BK	W 3-0	1668	1521	59.5%	22.4%	18.1%	+9.4	28
2022-02-20	@ Silkeborg	L 0-3	1521	1668	18.1%	22.4%	59.5%	-9.4	9
2022-02-21	Viborg	L 0-1	1653	1618	40.0%	36.3%	23.7%	-7.5	28
2022-02-21	@ Randers	W 1-0	1618	1653	23.7%	36.3%	40.0%	+7.5	23
2022-02-25	Aarhus GF	W 3-2	1511	1653	20.3%	30.5%	49.2%	+7.5	12
2022-02-25	@ Vejle BK	L 2-3	1653	1511	49.2%	30.5%	20.3%	-7.5	24
2022-02-27	Silkeborg	L 1-4	1679	1678	34.7%	38.3%	27.0%	-15.9	31
2022-02-27	@ Aalborg	W 4-1	1678	1679	27.0%	38.3%	34.7%	+15.9	31
2022-02-27	Randers	D 0-0	1572	1645	24.9%	37.3%	37.8%	+0.5	17
2022-02-27	@ Nordsjaelland	D 0-0	1645	1572	37.8%	37.3%	24.9%	-0.5	29
2022-02-27	Midtjylland	D 2-2	1619	1715	23.0%	35.6%	41.4%	+0.5	20
2022-02-27	@ Odense	D 2-2	1715	1619	41.4%	35.6%	23.0%	-0.5	36
2022-02-27	FC Copenhagen	L 0-2	1626	1751	21.1%	32.5%	46.4%	-8.7	23
2022-02-27	@ Viborg	W 2-0	1751	1626	46.4%	32.5%	21.1%	+8.7	39
2022-02-28	Sonderjyske	W 1-0	1709	1514	67.8%	15.8%	16.4%	+2.8	36
2022-02-28	@ Brondby	L 0-1	1514	1709	16.4%	15.8%	67.8%	-2.8	10
2022-03-04	Randers	W 3-0	1760	1645	53.8%	27.0%	19.2%	+10.7	42
2022-03-04	@ FC Copenhagen	L 0-3	1645	1760	19.2%	27.0%	53.8%	-10.7	29
2022-03-04	Viborg	W 3-1	1714	1617	50.6%	29.4%	20.0%	+6.8	39
2022-03-04	@ Midtjylland	L 1-3	1617	1714	20.0%	29.4%	50.6%	-6.9	23
2022-03-06	Vejle BK	D 0-0	1663	1519	58.9%	22.9%	18.2%	-1.7	32
2022-03-06	@ Aalborg	D 0-0	1519	1663	18.2%	22.9%	58.9%	+1.7	13
2022-03-06	Brondby	L 0-1	1693	1712	31.7%	38.8%	29.5%	-6.5	31
2022-03-06	@ Silkeborg	W 1-0	1712	1693	29.5%	38.8%	31.7%	+6.5	39
2022-03-06	Odense	D 2-2	1511	1619	22.2%	34.4%	43.5%	+0.6	11
2022-03-06	@ Sonderjyske	D 2-2	1619	1511	43.5%	34.4%	22.2%	-0.6	21
2022-03-07	Nordsjaelland	L 2-3	1645	1572	46.5%	32.4%	21.1%	-7.3	24
2022-03-07	@ Aarhus GF	W 3-2	1572	1645	21.1%	32.4%	46.5%	+7.3	20
2022-03-11	Sonderjyske	D 1-1	1580	1511	45.6%	33.0%	21.4%	-0.9	21
2022-03-11	@ Nordsjaelland	D 1-1	1511	1580	21.4%	33.0%	45.6%	+0.9	12
2022-03-13	Aarhus GF	D 1-1	1719	1638	47.7%	31.5%	20.7%	-1.0	40
2022-03-13	@ Brondby	D 1-1	1638	1719	20.7%	31.5%	47.7%	+1.0	25
2022-03-13	FC Copenhagen	L 0-1	1721	1770	27.5%	38.5%	34.0%	-6.0	39
2022-03-13	@ Midtjylland	W 1-0	1770	1721	34.0%	38.5%	27.5%	+5.9	45
2022-03-13	Silkeborg	W 2-1	1634	1687	27.1%	38.4%	34.5%	+6.5	32
2022-03-13	@ Randers	L 1-2	1687	1634	34.5%	38.4%	27.1%	-6.5	31
2022-03-13	Vejle BK	W 2-0	1610	1521	49.3%	30.4%	20.3%	+8.1	26
2022-03-13	@ Viborg	L 0-2	1521	1610	20.3%	30.4%	49.3%	-8.1	13
2022-03-14	Aalborg	L 2-3	1619	1661	28.4%	38.7%	33.0%	-5.4	21
2022-03-14	@ Odense	W 3-2	1661	1619	33.0%	38.7%	28.4%	+5.4	35
2022-03-20	Brondby	W 3-0	1667	1718	27.4%	38.4%	34.2%	+18.7	38
2022-03-20	@ Aalborg	L 0-3	1718	1667	34.2%	38.4%	27.4%	-18.7	40
2022-03-20	Viborg	D 1-1	1639	1618	37.7%	37.3%	25.0%	-0.4	26
2022-03-20	@ Aarhus GF	D 1-1	1618	1639	25.0%	37.3%	37.7%	+0.4	27
2022-03-20	Nordsjaelland	W 1-0	1776	1579	68.1%	15.6%	16.3%	+2.8	48
2022-03-20	@ FC Copenhagen	L 0-1	1579	1776	16.3%	15.6%	68.1%	-2.8	21
2022-03-20	Midtjylland	L 0-1	1680	1715	29.4%	38.8%	31.8%	-6.2	31
2022-03-20	@ Silkeborg	W 1-0	1715	1680	31.8%	38.8%	29.4%	+6.2	42
2022-03-20	Randers	D 1-1	1512	1641	21.0%	32.1%	46.9%	+0.9	13
2022-03-20	@ Sonderjyske	D 1-1	1641	1512	46.9%	32.1%	21.0%	-0.9	33
2022-03-20	Odense	W 2-0	1512	1613	22.7%	35.1%	42.2%	+14.5	16
2022-03-20	@ Vejle BK	L 0-2	1613	1512	42.2%	35.1%	22.7%	-14.5	21

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
2022-04-01	Sonderjyske	W 2-1	1619	1513	52.1%	28.3%	19.6%	+3.8	3
2022-04-01	@ Viborg	L 1-2	1513	1619	19.6%	28.3%	52.1%	-3.8	0
2022-04-03	FC Copenhagen	L 0-1	1685	1779	23.2%	35.8%	41.1%	-5.2	0
2022-04-03	@ Aalborg	W 1-0	1779	1685	41.1%	35.8%	23.2%	+5.1	3
2022-04-03	Vejle BK	D 0-0	1639	1527	53.2%	27.4%	19.4%	-1.4	1
2022-04-03	@ Aarhus GF	D 0-0	1527	1639	19.4%	27.4%	53.2%	+1.4	1
2022-04-03	Randers	L 0-1	1699	1640	44.1%	34.0%	21.9%	-7.9	0
2022-04-03	@ Brondby	W 1-0	1640	1699	21.9%	34.0%	44.1%	+7.9	3
2022-04-03	Nordsjaelland	W 2-1	1599	1576	38.0%	37.2%	24.8%	+5.2	3
2022-04-03	@ Odense	L 1-2	1576	1599	24.8%	37.2%	38.0%	-5.2	0
2022-04-04	Silkeborg	W 3-2	1721	1674	42.0%	35.2%	22.8%	+4.5	3
2022-04-04	@ Midtjylland	L 2-3	1674	1721	22.8%	35.2%	42.0%	-4.5	0
2022-04-08	Randers	W 3-0	1680	1648	39.6%	36.5%	23.9%	+14.5	3
2022-04-08	@ Aalborg	L 0-3	1648	1680	23.9%	36.5%	39.6%	-14.5	3
2022-04-10	Midtjylland	W 1-0	1784	1726	44.0%	34.1%	22.0%	+4.8	6
2022-04-10	@ FC Copenhagen	L 0-1	1726	1784	22.0%	34.1%	44.0%	-4.8	3
2022-04-10	Aarhus GF	D 2-2	1571	1637	25.7%	37.7%	36.6%	+0.3	1
2022-04-10	@ Nordsjaelland	D 2-2	1637	1571	36.6%	37.7%	25.7%	-0.3	2
2022-04-10	Brondby	W 3-0	1670	1691	31.3%	38.8%	29.8%	+17.2	3
2022-04-10	@ Silkeborg	L 0-3	1691	1670	29.8%	38.8%	31.3%	-17.2	0
2022-04-10	Odense	D 2-2	1509	1604	23.2%	35.7%	41.1%	+0.5	1
2022-04-10	@ Sonderjyske	D 2-2	1604	1509	41.1%	35.7%	23.2%	-0.5	4
2022-04-11	Viborg	D 2-2	1528	1623	23.2%	35.7%	41.1%	+0.5	2
2022-04-11	@ Vejle BK	D 2-2	1623	1528	41.1%	35.7%	23.2%	-0.5	4
2022-04-13	Midtjylland	L 1-3	1633	1721	23.7%	36.3%	40.1%	-8.6	3
2022-04-13	@ Randers	W 3-1	1721	1633	40.1%	36.3%	23.7%	+8.6	6
2022-04-14	Viborg	L 0-2	1637	1622	36.8%	37.7%	25.5%	-13.4	2
2022-04-14	@ Aarhus GF	W 2-0	1622	1637	25.5%	37.7%	36.8%	+13.4	7
2022-04-14	Aalborg	L 0-1	1674	1695	31.4%	38.8%	29.8%	-6.5	0
2022-04-14	@ Brondby	W 1-0	1695	1674	29.8%	38.8%	31.4%	+6.5	6
2022-04-14	Vejle BK	W 2-1	1603	1529	46.7%	32.3%	21.0%	+4.3	7
2022-04-14	@ Odense	L 1-2	1529	1603	21.0%	32.3%	46.7%	-4.3	2
2022-04-14	FC Copenhagen	W 3-1	1687	1789	22.6%	35.0%	42.4%	+12.6	6
2022-04-14	@ Silkeborg	L 1-3	1789	1687	42.4%	35.0%	22.6%	-12.6	6
2022-04-15	Sonderjyske	W 2-0	1571	1510	44.4%	33.8%	21.8%	+9.0	4
2022-04-15	@ Nordsjaelland	L 0-2	1510	1571	21.8%	33.8%	44.4%	-9.1	1
2022-04-17	Odense	D 1-1	1636	1608	38.9%	36.8%	24.3%	-0.5	8
2022-04-17	@ Viborg	D 1-1	1608	1636	24.3%	36.8%	38.9%	+0.5	8
2022-04-18	Brondby	W 2-0	1776	1667	52.8%	27.8%	19.4%	+7.5	9
2022-04-18	@ FC Copenhagen	L 0-2	1667	1776	19.4%	27.8%	52.8%	-7.5	0
2022-04-18	Aalborg	W 2-0	1730	1701	39.0%	36.8%	24.2%	+10.1	9
2022-04-18	@ Midtjylland	L 0-2	1701	1730	24.2%	36.8%	39.0%	-10.1	6
2022-04-18	Aarhus GF	W 2-1	1501	1624	21.3%	32.8%	45.9%	+7.6	4
2022-04-18	@ Sonderjyske	L 1-2	1624	1501	45.9%	32.8%	21.3%	-7.6	2
2022-04-18	Nordsjaelland	D 0-0	1524	1580	26.8%	38.2%	34.9%	+0.3	3
2022-04-18	@ Vejle BK	D 0-0	1580	1524	34.9%	38.2%	26.8%	-0.3	5
2022-04-19	Silkeborg	L 1-2	1625	1700	24.8%	37.2%	38.0%	-5.2	3
2022-04-19	@ Randers	W 2-1	1700	1625	38.0%	37.2%	24.8%	+5.2	9
2022-04-22	Vejle BK	L 0-1	1508	1525	32.0%	38.8%	29.2%	-6.5	4
2022-04-22	@ Sonderjyske	W 1-0	1525	1508	29.2%	38.8%	32.0%	+6.5	6
2022-04-24	Silkeborg	L 1-2	1691	1705	32.4%	38.7%	28.8%	-6.2	6
2022-04-24	@ Aalborg	W 2-1	1705	1691	28.8%	38.7%	32.4%	+6.2	12
2022-04-24	Odense	L 1-2	1616	1608	35.7%	38.0%	26.3%	-6.6	2
2022-04-24	@ Aarhus GF	W 2-1	1608	1616	26.3%	38.0%	35.7%	+6.6	11
2022-04-24	Randers	L 0-1	1784	1619	62.5%	20.0%	17.5%	-9.6	9
2022-04-24	@ FC Copenhagen	W 1-0	1619	1784	17.5%	20.0%	62.5%	+9.6	6
2022-04-24	Viborg	W 2-0	1580	1635	26.9%	38.3%	34.9%	+13.0	8
2022-04-24	@ Nordsjaelland	L 0-2	1635	1580	34.9%	38.3%	26.9%	-13.0	8
2022-04-25	Midtjylland	L 1-3	1660	1740	24.4%	36.9%	38.8%	-8.8	0
2022-04-25	@ Brondby	W 3-1	1740	1660	38.8%	36.9%	24.4%	+8.8	12
2022-04-29	Nordsjaelland	D 1-1	1622	1593	39.1%	36.7%	24.2%	-0.5	9
2022-04-29	@ Viborg	D 1-1	1593	1622	24.2%	36.7%	39.1%	+0.5	9
2022-05-01	FC Copenhagen	D 0-0	1748	1774	30.6%	38.9%	30.5%	+0.0	13
2022-05-01	@ Midtjylland	D 0-0	1774	1748	30.5%	38.9%	30.6%	+0.0	10
2022-05-01	Aarhus GF	W 1-0	1615	1609	35.3%	38.1%	26.5%	+5.8	14
2022-05-01	@ Odense	L 0-1	1609	1615	26.5%	38.1%	35.3%	-5.8	2
2022-05-01	Brondby	W 2-1	1629	1651	31.2%	38.8%	30.0%	+5.9	9
2022-05-01	@ Randers	L 1-2	1651	1629	30.0%	38.8%	31.2%	-5.9	0
2022-05-01	Sonderjyske	L 0-3	1531	1502	39.1%	36.7%	24.1%	-20.2	6
2022-05-01	@ Vejle BK	W 3-0	1502	1531	24.1%	36.7%	39.1%	+20.2	7
2022-05-02	Aalborg	W 4-2	1711	1685	38.6%	36.9%	24.4%	+7.9	15
2022-05-02	@ Silkeborg	L 2-4	1685	1711	24.4%	36.9%	38.6%	-7.9	6
2022-05-06	Randers	W 1-0	1719	1635	48.4%	31.1%	20.5%	+4.4	18
2022-05-06	@ Silkeborg	L 0-1	1635	1719	20.5%	31.1%	48.4%	-4.4	9
2022-05-08	Midtjylland	L 1-2	1677	1748	25.1%	37.4%	37.5%	-5.2	6
2022-05-08	@ Aalborg	W 2-1	1748	1677	37.5%	37.4%	25.1%	+5.2	16
2022-05-08	Sonderjyske	D 1-1	1604	1522	47.9%	31.4%	20.7%	-1.0	3
2022-05-08	@ Aarhus GF	D 1-1	1522	1604	20.7%	31.4%	47.9%	+1.0	8
2022-05-08	FC Copenhagen	D 1-1	1645	1774	20.9%	32.0%	47.1%	+1.0	1
2022-05-08	@ Brondby	D 1-1	1774	1645	47.1%	32.0%	20.9%	-0.9	11
2022-05-08	Odense	D 1-1	1593	1620	30.5%	38.8%	30.7%	+0.0	10
2022-05-08	@ Nordsjaelland	D 1-1	1620	1593	30.7%	38.8%	30.5%	-0.0	15
2022-05-09	Vejle BK	D 2-2	1622	1511	53.0%	27.6%	19.4%	-0.9	10
2022-05-09	@ Viborg	D 2-2	1511	1622	19.4%	27.6%	53.0%	+0.9	7
2022-05-11	Silkeborg	W 2-1	1774	1723	42.6%	34.9%	22.5%	+4.7	14
2022-05-11	@ FC Copenhagen	L 1-2	1723	1774	22.5%	34.9%	42.6%	-4.7	18
2022-05-11	Aalborg	D 2-2	1630	1672	28.6%	38.7%	32.8%	+0.1	10
2022-05-11	@ Randers	D 2-2	1672	1630	32.8%	38.7%	28.6%	-0.1	7
2022-05-11	Nordsjaelland	D 1-1	1523	1593	25.3%	37.5%	37.2%	+0.4	9
2022-05-11	@ Sonderjyske	D 1-1	1593	1523	37.2%	37.5%	25.3%	-0.4	11
2022-05-12	Brondby	D 2-2	1754	1646	52.5%	28.0%	19.5%	-0.9	17
2022-05-12	@ Midtjylland	D 2-2	1646	1754	19.5%	28.0%	52.5%	+0.9	2
2022-05-12	Viborg	D 1-1	1620	1621	34.5%	38.4%	27.2%	-0.2	16
2022-05-12	@ Odense	D 1-1	1621	1620	27.2%	38.4%	34.5%	+0.2	11
2022-05-12	Aarhus GF	W 1-0	1512	1603	23.5%	36.0%	40.5%	+7.5	10
2022-05-12	@ Vejle BK	L 0-1	1603	1512	40.5%	36.0%	23.5%	-7.5	3
2022-05-15	Brondby	L 1-3	1672	1647	38.4%	37.0%	24.6%	-11.9	7
2022-05-15	@ Aalborg	W 3-1	1647	1672	24.6%	37.0%	38.4%	+11.9	5
2022-05-15	Vejle BK	W 2-1	1593	1520	46.5%	32.4%	21.1%	+4.3	14
2022-05-15	@ Nordsjaelland	L 1-2	1520	1593	21.1%	32.4%	46.5%	-4.3	10
2022-05-15	Sonderjyske	D 1-1	1620	1524	50.6%	29.5%	20.0%	-1.1	17
2022-05-15	@ Odense	D 1-1	1524	1620	20.0%	29.5%	50.6%	+1.1	10
2022-05-15	FC Copenhagen	L 0-2	1631	1778	20.0%	29.7%	50.3%	-8.0	10
2022-05-15	@ Randers	W 2-0	1778	1631	50.3%	29.7%	20.0%	+8.0	17
2022-05-15	Aarhus GF	W 1-0	1621	1595	38.6%	37.0%	24.5%	+5.4	14
2022-05-15	@ Viborg	L 0-1	1595	1621	24.5%	37.0%	38.6%	-5.4	3
2022-05-16	Midtjylland	L 1-4	1719	1753	29.5%	38.8%	31.7%	-14.4	18
2022-05-16	@ Silkeborg	W 4-1	1753	1719	31.7%	38.8%	29.5%	+14.4	20
2022-05-21	Nordsjaelland	D 2-2	1590	1597	33.3%	38.6%	28.1%	-0.1	4
2022-05-21	@ Aarhus GF	D 2-2	1597	1590	28.1%	38.6%	33.3%	+0.1	15
2022-05-21	Viborg	L 0-2	1525	1626	22.6%	35.0%	42.4%	-9.5	10
2022-05-21	@ Sonderjyske	W 2-0	1626	1525	42.4%	35.0%	22.6%	+9.5	17
2022-05-21	Odense	W 2-1	1515	1619	22.5%	34.8%	42.7%	+7.3	13
2022-05-21	@ Vejle BK	L 1-2	1619	1515	42.7%	34.8%	22.5%	-7.3	17
2022-05-22	Silkeborg	W 2-1	1659	1704	28.0%	38.6%	33.4%	+6.3	8
2022-05-22	@ Brondby	L 1-2	1704	1659	33.4%	38.6%	28.0%	-6.3	18
2022-05-22	Aalborg	W 3-0	1786	1660	55.9%	25.4%	18.8%	+10.2	20
2022-05-22	@ FC Copenhagen	L 0-3	1660	1786	18.8%	25.4%	55.9%	-10.2	7
2022-05-22	Randers	W 3-2	1767	1623	59.0%	22.8%	18.2%	+3.1	23
2022-05-22	@ Midtjylland	L 2-3	1623	1767	18.2%	22.8%	59.0%	-3.1	10

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
2022-05-29	Viborg	L 1-3	1649	1636	36.6%	37.7%	25.7%	-11.6	0-1
2022-05-29	@ Aalborg	W 3-1	1636	1649	25.7%	37.7%	36.6%	+11.6	1-0

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	2022-04-24	17.50%	Randers	1619	1	@ FC Copenhagen	1784	0
2	2022-02-25	20.32%	@ Vejle BK	1511	3	Aarhus GF	1653	2
3	2021-11-07	20.56%	@ Aarhus GF	1625	3	Midtjylland	1761	0
4	2022-03-07	21.11%	Nordsjaelland	1572	3	@ Aarhus GF	1645	2
5	2022-04-18	21.28%	@ Sonderjyske	1501	2	Aarhus GF	1624	1
6	2021-10-25	21.39%	Viborg	1603	5	@ Aalborg	1671	2
7	2022-02-20	21.50%	Aalborg	1664	2	@ Midtjylland	1730	0
8	2021-07-16	21.64%	Odense	1626	2	@ Midtjylland	1689	1
9	2022-04-03	21.92%	Randers	1640	1	@ Brondby	1699	0
10	2021-10-22	22.36%	@ Vejle BK	1510	2	Nordsjaelland	1616	0
11	2022-05-21	22.46%	@ Vejle BK	1515	2	Odense	1619	1
12	2021-11-21	22.48%	Brondby	1688	2	@ Midtjylland	1739	1
13	2022-04-14	22.58%	@ Silkeborg	1687	3	FC Copenhagen	1789	1
14	2022-03-20	22.68%	@ Vejle BK	1512	2	Odense	1613	0
15	2021-09-19	23.25%	@ Sonderjyske	1577	1	Brondby	1670	0
16	2022-05-12	23.46%	@ Vejle BK	1512	1	Aarhus GF	1603	0
17	2022-02-21	23.71%	Viborg	1618	1	@ Randers	1653	0
18	2022-05-01	24.15%	Sonderjyske	1502	3	@ Vejle BK	1531	0
19	2022-05-15	24.59%	Brondby	1647	3	@ Aalborg	1672	1
20	2021-08-29	25.04%	@ Brondby	1657	2	Midtjylland	1729	0
21	2021-07-18	25.09%	Viborg	1617	2	@ Nordsjaelland	1637	1
22	2022-04-14	25.54%	Viborg	1622	2	@ Aarhus GF	1637	0
23	2022-05-29 *	25.66%	Viborg	1636	3	@ Aalborg	1649	1
24	2021-08-13	25.74%	Nordsjaelland	1651	1	@ Brondby	1664	0
25	2021-09-20	25.85%	Aarhus GF	1620	2	@ Silkeborg	1632	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	2021-10-31	28.47	Silkeborg	6	1640	38.41%	@ Sonderjyske	0	1562	24.56%
2	2021-10-01	24.27	@ Odense	6	1608	46.05%	Vejle BK	0	1538	21.24%
3	2021-11-07	22.79	@ Aarhus GF	3	1625	20.56%	Midtjylland	0	1761	48.28%
4	2022-05-01	20.22	Sonderjyske	3	1502	24.15%	@ Vejle BK	0	1531	39.15%
5	2022-03-20	18.68	@ Aalborg	3	1667	27.35%	Brondby	0	1718	34.24%
6	2022-04-10	17.18	@ Silkeborg	3	1670	31.32%	Brondby	0	1691	29.85%
7	2021-09-26	16.26	FC Copenhagen	5	1722	38.25%	@ Nordsjaelland	1	1645	24.65%
8	2021-10-25	16.12	Viborg	5	1603	21.39%	@ Aalborg	2	1671	45.60%
9	2022-02-27	15.87	Silkeborg	4	1678	27.02%	@ Aalborg	1	1679	34.67%
10	2021-08-29	15.84	FC Copenhagen	4	1702	48.19%	@ Vejle BK	0	1566	20.59%
11	2021-10-03	15.83	@ Aalborg	4	1662	48.20%	Sonderjyske	0	1579	20.59%
12	2022-02-20	15.14	Aalborg	2	1664	21.50%	@ Midtjylland	0	1730	45.28%
13	2021-10-03	14.97	@ Midtjylland	4	1736	50.79%	Aarhus GF	0	1638	19.91%
14	2021-10-22	14.70	@ Vejle BK	2	1510	22.36%	Nordsjaelland	0	1616	42.97%
15	2022-03-20	14.54	@ Vejle BK	2	1512	22.68%	Odense	0	1613	42.20%
16	2022-04-08	14.52	@ Aalborg	3	1680	39.64%	Randers	0	1648	23.89%
17	2022-05-16	14.38	Midtjylland	4	1753	31.71%	@ Silkeborg	1	1719	29.48%
18	2021-10-03	13.69	@ Silkeborg	4	1627	34.16%	Nordsjaelland	1	1629	27.41%
19	2021-08-29	13.60	@ Brondby	2	1657	25.04%	Midtjylland	0	1729	37.60%
20	2022-04-14	13.42	Viborg	2	1622	25.54%	@ Aarhus GF	0	1637	36.80%
21	2021-09-20	13.32	Aarhus GF	2	1620	25.85%	@ Silkeborg	0	1632	36.32%
22	2021-08-06	13.17	@ Silkeborg	4	1624	36.06%	Viborg	1	1614	26.02%
23	2022-04-24	13.01	@ Nordsjaelland	2	1580	26.85%	Viborg	0	1635	34.89%
24	2022-04-14	12.64	@ Silkeborg	3	1687	22.58%	FC Copenhagen	1	1789	42.44%
25	2021-08-02	12.45	Nordsjaelland	2	1630	28.84%	@ Sonderjyske	0	1616	32.43%