2023-24 Superliga Season

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

Final

Champion

Midtjylland

63 points

Relegated

No relegation

Biggest Overachiever

Nordsjaelland

8.49 points above expected

58 points · 49.51 expected points

Biggest Disappointment

Odense

7.19 points below expected

32 points · 39.19 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	22	15	3	4	48	43	23	+20	34.5	+13.50
2	Brondby	22	14	5	3	47	44	20	+24	33.4	+13.59
3	FC Copenhagen	22	14	3	5	45	45	23	+22	38.3	+6.73
4	Nordsjaelland	22	10	7	5	37	35	21	+14	35.5	+1.51
5	Aarhus GF	22	9	9	4	36	26	21	+5	32.2	+3.76
6	Silkeborg	22	8	3	11	27	28	32	-4	30.9	-3.91
7	Odense	22	6	6	10	24	25	32	-7	27.9	-3.89
8	Lyngby	22	6	5	11	23	27	39	-12	25.4	-2.39
9	Viborg	22	6	5	11	23	24	37	-13	28.9	-5.85
10	Randers	22	5	8	9	23	23	37	-14	25.1	-2.14
11	Vejle BK	22	4	7	11	19	19	26	-7	24.5	-5.48
12	Hvidovre	22	2	5	15	11	17	45	-28	20.4	-9.35

#	Team	GP	W	D	L	Pts	GF	GA	GD	SimPts	vsSim
1	Midtjylland	32	19	6	7	63	62	43	+19	64.5	-1.55
2	Brondby	32	18	8	6	62	60	35	+25	62.7	-0.73
3	FC Copenhagen	32	18	5	9	59	64	38	+26	61.6	-2.57
4	Nordsjaelland	32	16	10	6	58	60	34	+26	49.5	+8.49
5	Aarhus GF	32	11	11	10	44	42	46	-4	48.7	-4.74
6	Silkeborg	32	10	6	16	36	39	50	-11	34.3	+1.69
7	Randers	32	10	11	11	41	41	49	-8	37.0	+4.05
8	Viborg	32	11	7	14	40	38	48	-10	36.7	+3.30
9	Vejle BK	32	9	9	14	36	32	36	-4	33.4	+2.56
10	Lyngby	32	9	9	14	36	39	53	-14	36.1	-0.12
11	Odense	32	8	8	16	32	37	48	-11	39.2	-7.19
12	Hvidovre	32	4	8	20	20	27	61	-34	21.2	-1.19

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

FC Copenhagen 2

Randers 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	1805	59	38.27	+20.73	88.9%	16	28	34	38	42	48	61
Nordsjaelland	1781	58	35.49	+22.51	63.2%	15	26	31	35	40	45	57
Midtjylland	1779	63	34.50	+28.50	99.1%	13	25	31	34	38	44	55
Brondby	1776	62	33.41	+28.59	99.1%	13	24	29	33	38	43	55
Aarhus GF	1691	44	32.24	+11.76	76.7%	13	23	28	32	36	42	56
Viborg	1649	40	28.85	+11.15	17.9%	9	19	25	29	33	39	50
Silkeborg	1643	36	30.91	+5.09	27.9%	10	21	27	31	35	41	54
Randers	1633	41	25.14	+15.86	39.6%	5	16	21	25	29	35	47
Vejle BK	1631	36	24.48	+11.52	19.4%	7	15	21	24	28	34	51
Odense	1618	32	27.89	+4.11	28.1%	7	18	24	28	32	38	52
Lyngby	1606	36	25.39	+10.61	37.8%	5	16	21	25	29	35	47
Hvidovre	1528	20	20.35	-0.35	4.4%	3	12	17	20	24	30	44

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	AG	BRO	FC	HVI	LYN	MID	NOR	ODE	RAN	SIL	VB	VIB
Aarhus GF	—	1-2-1 4.63	2-1-1 3.98	2-0-0 3.67	2-0-0 3.16	0-1-3 4.61	0-1-3 4.75	0-2-0 3.09	1-1-0 3.20	1-2-1 6.18	1-1-0 3.35	1-0-1 2.91
Brondby	1-2-1 6.13	—	1-1-2 4.72	2-0-0 3.92	1-1-0 3.25	3-0-1 5.12	2-1-1 5.07	1-0-1 3.09	1-1-0 3.34	3-1-0 6.82	1-1-0 3.51	2-0-0 3.30
FC Copenhagen	1-1-2 6.86	2-1-1 6.00	—	2-0-0 4.15	2-0-0 3.80	0-1-3 5.89	1-2-1 5.91	2-0-0 3.62	2-0-0 3.64	3-0-1 7.15	2-0-0 3.74	1-0-1 3.52
Hvidovre	0-0-2 1.82	0-0-2 1.62	0-0-2 1.46	—	1-2-1 4.27	0-0-2 1.70	0-1-1 1.49	2-0-2 4.07	0-2-2 4.16	0-0-2 1.73	1-1-2 4.23	0-2-2 3.83
Lyngby	0-0-2 2.21	0-1-1 2.14	0-0-2 1.72	1-2-1 6.51	—	1-0-1 1.94	0-1-1 1.87	2-2-0 4.86	2-0-2 5.10	1-0-1 2.07	0-2-2 5.30	2-1-1 4.42
Midtjylland	3-1-0 6.13	1-0-3 5.58	3-1-0 4.85	2-0-0 3.81	1-0-1 3.50	—	1-1-2 5.42	2-0-0 3.07	1-1-0 3.67	2-1-1 6.81	2-0-0 3.68	1-1-0 3.15
Nordsjaelland	3-1-0 5.97	1-1-2 5.63	1-2-1 4.80	1-1-0 4.10	1-1-0 3.58	2-1-1 5.30	—	0-1-1 3.42	1-1-0 3.51	3-0-1 6.87	1-1-0 3.74	2-0-0 2.98
Odense	0-2-0 2.29	1-0-1 2.28	0-0-2 1.84	2-0-2 6.77	0-2-2 5.84	0-0-2 2.30	1-1-0 2.00	—	2-2-0 5.28	0-1-1 2.36	1-0-3 5.82	1-0-3 5.18
Randers	0-1-1 2.18	0-1-1 2.06	0-0-2 1.82	2-2-0 6.65	2-0-2 5.60	0-1-1 1.81	0-1-1 1.94	0-2-2 5.42	—	1-1-0 1.98	3-1-0 5.40	2-1-1 4.82
Silkeborg	1-2-1 4.55	0-1-3 4.07	1-0-3 3.77	2-0-0 3.76	1-0-1 3.33	1-1-2 4.07	1-0-3 3.98	1-1-0 3.02	0-1-1 3.45	—	1-0-1 3.07	1-0-1 3.09
Vejle BK	0-1-1 2.05	0-1-1 1.94	0-0-2 1.75	2-1-1 6.56	2-2-0 5.40	0-0-2 1.81	0-1-1 1.75	3-0-1 4.91	0-1-3 5.29	1-0-1 2.29	—	1-2-1 4.61
Viborg	1-0-1 2.44	0-0-2 2.09	1-0-1 1.92	2-2-0 7.04	1-1-2 6.33	0-1-1 2.25	0-0-2 2.38	3-0-1 5.52	1-1-2 5.89	1-0-1 2.27	1-2-1 6.13	—

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%	5.73%	2.86%	1.04%	0.52%	23.70%
1	7.81%	10.42%	10.16%	3.39%	1.56%	0.52%	33.85%
2	5.73%	10.16%	7.81%	2.60%	0.52%	0.52%	27.34%
3	2.86%	3.39%	2.60%	1.56%	—	—	10.42%
4	1.04%	1.56%	0.52%	—	—	—	3.12%
5+	0.52%	0.52%	0.52%	—	—	—	1.56%
Total	23.70%	33.85%	27.34%	10.42%	3.12%	1.56%	100%

Summary Statistics

Mean scored	1.41
Mean allowed	1.41
StdDev scored	1.17
StdDev allowed	1.17
Mean total goals/game	2.82
Correlation (home vs away score)	-0.075
Sample size (games)	192

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.25%	6.25%	—	3.12%	—	—	15.62%
1	12.50%	18.75%	6.25%	6.25%	—	—	43.75%
2	9.38%	6.25%	9.38%	6.25%	—	3.12%	34.38%
3	—	—	6.25%	—	—	—	6.25%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	28.12%	31.25%	21.88%	15.62%	—	3.12%	100%

Aarhus GF — Summary Statistics

Mean scored	1.31
Mean allowed	1.44
StdDev scored	0.82
StdDev allowed	1.46
Mean total goals/game	2.75
Correlation (scored vs allowed)	0.260
Games played	32

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

Brondby — Summary Statistics

Mean scored	1.88
Mean allowed	1.09
StdDev scored	0.98
StdDev allowed	1.12
Mean total goals/game	2.97
Correlation (scored vs allowed)	-0.048
Games played	32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.12%	—	6.25%	—	—	—	9.38%
1	—	6.25%	15.62%	3.12%	—	—	25.00%
2	15.62%	9.38%	6.25%	3.12%	—	—	34.38%
3	6.25%	3.12%	9.38%	—	—	—	18.75%
4	9.38%	—	3.12%	—	—	—	12.50%
5+	—	—	—	—	—	—	—
Total	34.38%	18.75%	40.62%	6.25%	—	—	100%

FC Copenhagen — Summary Statistics

Mean scored	2.00
Mean allowed	1.19
StdDev scored	1.16
StdDev allowed	1.00
Mean total goals/game	3.19
Correlation (scored vs allowed)	-0.333
Games played	32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.38%	15.62%	9.38%	3.12%	6.25%	—	43.75%
1	—	6.25%	9.38%	12.50%	3.12%	3.12%	34.38%
2	3.12%	6.25%	9.38%	—	—	—	18.75%
3	—	—	—	—	—	—	—
4	—	—	3.12%	—	—	—	3.12%
5+	—	—	—	—	—	—	—
Total	12.50%	28.12%	31.25%	15.62%	9.38%	3.12%	100%

Hvidovre — Summary Statistics

Mean scored	0.84
Mean allowed	1.91
StdDev scored	0.95
StdDev allowed	1.28
Mean total goals/game	2.75
Correlation (scored vs allowed)	0.040
Games played	32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.25%	12.50%	3.12%	3.12%	3.12%	3.12%	31.25%
1	6.25%	12.50%	9.38%	—	—	—	28.12%
2	6.25%	9.38%	6.25%	3.12%	3.12%	3.12%	31.25%
3	—	3.12%	—	3.12%	—	—	6.25%
4	—	3.12%	—	—	—	—	3.12%
5+	—	—	—	—	—	—	—
Total	18.75%	40.62%	18.75%	9.38%	6.25%	6.25%	100%

Lyngby — Summary Statistics

Mean scored	1.22
Mean allowed	1.66
StdDev scored	1.07
StdDev allowed	1.49
Mean total goals/game	2.88
Correlation (scored vs allowed)	0.028
Games played	32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	6.25%	—	6.25%	—	—	12.50%
1	9.38%	3.12%	3.12%	—	3.12%	—	18.75%
2	12.50%	18.75%	9.38%	3.12%	—	—	43.75%
3	3.12%	—	6.25%	6.25%	—	—	15.62%
4	—	6.25%	—	—	—	—	6.25%
5+	—	3.12%	—	—	—	—	3.12%
Total	25.00%	37.50%	18.75%	15.62%	3.12%	—	100%

Midtjylland — Summary Statistics

Mean scored	1.94
Mean allowed	1.34
StdDev scored	1.19
StdDev allowed	1.12
Mean total goals/game	3.28
Correlation (scored vs allowed)	-0.080
Games played	32

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

Nordsjaelland — Summary Statistics

Mean scored	1.88
Mean allowed	1.06
StdDev scored	1.70
StdDev allowed	0.80
Mean total goals/game	2.94
Correlation (scored vs allowed)	0.148
Games played	32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.25%	3.12%	6.25%	6.25%	—	—	21.88%
1	9.38%	9.38%	28.12%	3.12%	—	—	50.00%
2	3.12%	9.38%	9.38%	3.12%	—	—	25.00%
3	—	—	—	—	—	—	—
4	—	—	—	—	—	—	—
5+	—	3.12%	—	—	—	—	3.12%
Total	18.75%	25.00%	43.75%	12.50%	—	—	100%

Odense — Summary Statistics

Mean scored	1.16
Mean allowed	1.50
StdDev scored	0.99
StdDev allowed	0.95
Mean total goals/game	2.66
Correlation (scored vs allowed)	-0.086
Games played	32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.25%	9.38%	3.12%	3.12%	3.12%	3.12%	28.12%
1	15.62%	9.38%	6.25%	3.12%	—	—	34.38%
2	—	6.25%	18.75%	—	3.12%	—	28.12%
3	—	6.25%	—	—	—	—	6.25%
4	—	—	—	—	—	—	—
5+	—	—	3.12%	—	—	—	3.12%
Total	21.88%	31.25%	31.25%	6.25%	6.25%	3.12%	100%

Randers — Summary Statistics

Mean scored	1.28
Mean allowed	1.53
StdDev scored	1.25
StdDev allowed	1.27
Mean total goals/game	2.81
Correlation (scored vs allowed)	0.025
Games played	32

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

Silkeborg — Summary Statistics

Mean scored	1.22
Mean allowed	1.56
StdDev scored	1.24
StdDev allowed	1.27
Mean total goals/game	2.78
Correlation (scored vs allowed)	-0.328
Games played	32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.38%	15.62%	—	3.12%	—	—	28.12%
1	9.38%	18.75%	21.88%	—	—	—	50.00%
2	6.25%	6.25%	—	3.12%	—	—	15.62%
3	—	3.12%	3.12%	—	—	—	6.25%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	25.00%	43.75%	25.00%	6.25%	—	—	100%

Vejle BK — Summary Statistics

Mean scored	1.00
Mean allowed	1.12
StdDev scored	0.84
StdDev allowed	0.87
Mean total goals/game	2.12
Correlation (scored vs allowed)	0.132
Games played	32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.25%	9.38%	15.62%	—	—	—	31.25%
1	3.12%	6.25%	9.38%	3.12%	3.12%	3.12%	28.12%
2	—	21.88%	9.38%	—	—	—	31.25%
3	3.12%	6.25%	—	—	—	—	9.38%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	12.50%	43.75%	34.38%	3.12%	3.12%	3.12%	100%

Viborg — Summary Statistics

Mean scored	1.19
Mean allowed	1.50
StdDev scored	1.00
StdDev allowed	1.08
Mean total goals/game	2.69
Correlation (scored vs allowed)	-0.150
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	Nordsjaelland	58	49.5	+8.49
2	Randers	41	37.0	+4.05
3	Viborg	40	36.7	+3.30
4	Vejle BK	36	33.4	+2.56
5	Silkeborg	36	34.3	+1.69

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Odense	32	39.2	-7.19
2	Aarhus GF	44	48.7	-4.74
3	FC Copenhagen	59	61.6	-2.57
4	Midtjylland	63	64.5	-1.55
5	Hvidovre	20	21.2	-1.19

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	Silkeborg	5	Aug 20 – Sep 24	1 in 275
2	Brondby	5	Aug 13 – Sep 17	1 in 165
3	Midtjylland	6	Oct 23 – Dec 4	1 in 142
4	Vejle BK	4	May 6 – May 20	1 in 55
5	Nordsjaelland	4	Jul 24 – Aug 13	1 in 46

Longest Losing Streaks

#	Team	Games	Dates	Probability
1	Silkeborg	7	Nov 27 – Mar 17	1 in 1,197
2	Vejle BK	6	Jul 23 – Aug 28	1 in 122
3	Odense	4	Sep 1 – Oct 2	1 in 111
4	Aarhus GF	5	Apr 22 – May 16	1 in 87
5	Viborg	3	May 12 – May 20	1 in 43

Longest Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Brondby	18	Oct 1 – Apr 28	1 in 354
2	Midtjylland	11	Sep 3 – Dec 4	1 in 46
3	Aarhus GF	8	Oct 8 – Feb 19	1 in 31
4	Nordsjaelland	10	Mar 4 – May 12	1 in 27
5	Silkeborg	7	Aug 4 – Sep 24	1 in 24

Longest Winless Streaks

#	Team	Games	Dates	Probability
1	Silkeborg	14	Oct 29 – Apr 21	1 in 288
2	Hvidovre	14	Jul 21 – Nov 5	1 in 34
3	Odense	8	Mar 17 – May 10	1 in 34
4	Nordsjaelland	5	Sep 3 – Oct 8	1 in 32
5	Aarhus GF	8	Apr 1 – May 16	1 in 17

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
Midtjylland	15.05%	16.03%	15.37%	13.58%	11.26%	9.43%	6.81%	4.76%	3.65%	2.28%	1.19%	0.59%
Brondby	11.82%	14.77%	13.95%	13.32%	11.27%	10.35%	7.81%	6.30%	4.60%	2.95%	2.01%	0.85%
FC Copenhagen	36.47%	21.03%	14.63%	9.39%	6.44%	4.87%	2.90%	1.98%	1.19%	0.69%	0.34%	0.07%
Nordsjaelland	18.16%	18.88%	15.52%	13.49%	10.42%	7.74%	5.98%	4.00%	2.74%	1.82%	1.04%	0.21%
Aarhus GF	7.94%	9.82%	11.70%	12.88%	13.02%	11.66%	10.15%	8.54%	6.31%	4.46%	2.39%	1.13%
Silkeborg	4.66%	7.53%	10.12%	10.86%	12.21%	12.23%	12.00%	9.64%	7.80%	6.32%	4.49%	2.14%
Randers	0.63%	1.52%	2.29%	3.49%	5.18%	6.69%	9.09%	11.13%	14.38%	16.14%	16.35%	13.11%
Viborg	2.49%	4.23%	6.23%	8.06%	9.73%	11.22%	11.75%	12.86%	11.42%	9.65%	7.94%	4.42%
Vejle BK	0.45%	1.17%	2.16%	3.01%	4.69%	6.22%	8.91%	11.32%	13.03%	16.13%	18.12%	14.79%
Lyngby	0.61%	1.49%	2.63%	4.06%	5.51%	6.90%	9.45%	11.42%	14.28%	15.92%	15.60%	12.13%
Odense	1.67%	3.36%	4.97%	6.97%	8.88%	10.71%	11.97%	13.01%	12.47%	11.27%	9.25%	5.47%
Hvidovre	0.05%	0.17%	0.43%	0.89%	1.39%	1.98%	3.18%	5.04%	8.13%	12.37%	21.28%	45.09%

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

FC Copenhagen 2

Randers 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	99.6%	0.4%
Nordsjaelland	99.4%	0.6%
Brondby	99.2%	0.8%
Aarhus GF	97.9%	2.1%
Silkeborg	93.5%	6.5%
Viborg	89.0%	11.0%
Odense	86.1%	13.9%
Randers	71.2%	28.8%
Lyngby	69.9%	30.1%
Vejle BK	67.6%	32.4%
Hvidovre	26.7%	73.3%

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
2023-07-21	Hvidovre	W 1-0	1722	1617	52.2%	26.5%	21.3%	+3.8	3
2023-07-21	@ Midtjylland	L 0-1	1617	1722	21.3%	26.5%	52.2%	-3.8	0
2023-07-22	FC Copenhagen	L 1-2	1638	1748	23.5%	29.2%	47.3%	-4.1	0
2023-07-22	@ Lyngby	W 2-1	1748	1638	47.3%	29.2%	23.5%	+4.1	3
2023-07-23	Vejle BK	W 1-0	1701	1635	46.2%	29.8%	24.1%	+4.4	3
2023-07-23	@ Aarhus GF	L 0-1	1635	1701	24.1%	29.8%	46.2%	-4.4	0
2023-07-23	Randers	D 2-2	1677	1662	38.4%	32.4%	29.1%	-0.2	1
2023-07-23	@ Odense	D 2-2	1662	1677	29.1%	32.4%	38.4%	+0.2	1
2023-07-23	Brondby	L 1-2	1670	1677	35.2%	32.9%	31.9%	-5.7	0
2023-07-23	@ Silkeborg	W 2-1	1677	1670	31.9%	32.9%	35.2%	+5.7	3
2023-07-24	Viborg	W 4-1	1699	1697	36.6%	32.8%	30.6%	+12.6	3
2023-07-24	@ Nordsjaelland	L 1-4	1697	1699	30.6%	32.8%	36.6%	-12.6	0
2023-07-28	Lyngby	D 2-2	1684	1634	43.7%	30.8%	25.5%	-0.4	1
2023-07-28	@ Viborg	D 2-2	1634	1684	25.5%	30.8%	43.7%	+0.4	1
2023-07-29	FC Copenhagen	L 2-3	1630	1752	22.6%	28.3%	49.1%	-3.7	0
2023-07-29	@ Vejle BK	W 3-2	1752	1630	49.1%	28.3%	22.6%	+3.7	6
2023-07-30	Odense	L 1-2	1682	1676	37.0%	32.7%	30.3%	-5.9	3
2023-07-30	@ Brondby	W 2-1	1676	1682	30.3%	32.7%	37.0%	+5.8	4
2023-07-30	Silkeborg	W 2-0	1725	1664	45.4%	30.1%	24.5%	+8.5	6
2023-07-30	@ Midtjylland	L 0-2	1664	1725	24.5%	30.1%	45.4%	-8.5	0
2023-07-30	Hvidovre	D 2-2	1662	1613	43.6%	30.9%	25.6%	-0.4	2
2023-07-30	@ Randers	D 2-2	1613	1662	25.6%	30.9%	43.6%	+0.4	1
2023-07-31	Nordsjaelland	L 1-3	1705	1712	35.2%	32.9%	31.9%	-9.8	3
2023-07-31	@ Aarhus GF	W 3-1	1712	1705	31.9%	32.9%	35.2%	+9.8	6
2023-08-04	Vejle BK	W 2-1	1656	1627	40.5%	31.9%	27.5%	+4.7	3
2023-08-04	@ Silkeborg	L 1-2	1627	1656	27.5%	31.9%	40.5%	-4.7	0
2023-08-05	Randers	W 4-0	1756	1661	50.6%	27.4%	21.9%	+14.2	9
2023-08-05	@ FC Copenhagen	L 0-4	1661	1756	21.9%	27.4%	50.6%	-14.2	2
2023-08-06	Aarhus GF	L 0-2	1613	1695	25.9%	31.1%	43.0%	-9.0	1
2023-08-06	@ Hvidovre	W 2-0	1695	1613	43.0%	31.1%	25.9%	+9.0	6
2023-08-06	Midtjylland	W 4-1	1635	1734	24.4%	30.0%	45.6%	+16.5	4
2023-08-06	@ Lyngby	L 1-4	1734	1635	45.6%	30.0%	24.4%	-16.4	6
2023-08-06	Brondby	W 3-1	1722	1676	43.0%	31.1%	25.9%	+7.8	9
2023-08-06	@ Nordsjaelland	L 1-3	1676	1722	25.9%	31.1%	43.0%	-7.8	3
2023-08-07	Viborg	L 1-2	1682	1684	36.0%	32.8%	31.2%	-5.7	4
2023-08-07	@ Odense	W 2-1	1684	1682	31.2%	32.8%	36.0%	+5.7	4
2023-08-11	Odense	W 2-1	1770	1677	50.5%	27.5%	22.0%	+3.8	12
2023-08-11	@ FC Copenhagen	L 1-2	1677	1770	22.0%	27.5%	50.5%	-3.8	4
2023-08-13	Silkeborg	D 2-2	1704	1661	42.8%	31.2%	26.0%	-0.4	7
2023-08-13	@ Aarhus GF	D 2-2	1661	1704	26.0%	31.2%	42.8%	+0.4	4
2023-08-13	Lyngby	W 3-0	1669	1651	38.8%	32.4%	28.8%	+14.2	6
2023-08-13	@ Brondby	L 0-3	1651	1669	28.8%	32.4%	38.8%	-14.2	4
2023-08-13	Nordsjaelland	L 0-5	1647	1729	25.9%	31.1%	43.0%	-20.9	2
2023-08-13	@ Randers	W 5-0	1729	1647	43.0%	31.1%	25.9%	+20.9	12
2023-08-13	Midtjylland	L 1-2	1622	1717	24.7%	30.3%	45.0%	-4.3	0
2023-08-13	@ Vejle BK	W 2-1	1717	1622	45.0%	30.3%	24.7%	+4.3	9
2023-08-14	Hvidovre	D 0-0	1689	1604	49.1%	28.3%	22.6%	-1.0	5
2023-08-14	@ Viborg	D 0-0	1604	1689	22.6%	28.3%	49.1%	+1.0	2
2023-08-18	FC Copenhagen	L 0-2	1605	1774	19.7%	23.8%	56.5%	-6.5	2
2023-08-18	@ Hvidovre	W 2-0	1774	1605	56.5%	23.8%	19.7%	+6.5	15
2023-08-20	Randers	W 1-0	1637	1626	37.8%	32.6%	29.7%	+5.3	7
2023-08-20	@ Lyngby	L 0-1	1626	1637	29.7%	32.6%	37.8%	-5.3	2
2023-08-20	Brondby	L 0-1	1722	1683	42.0%	31.4%	26.5%	-6.7	9
2023-08-20	@ Midtjylland	W 1-0	1683	1722	26.5%	31.4%	42.0%	+6.7	9
2023-08-20	Aarhus GF	D 1-1	1673	1704	31.8%	32.9%	35.4%	+0.1	5
2023-08-20	@ Odense	D 1-1	1704	1673	35.4%	32.9%	31.8%	-0.1	8
2023-08-20	Nordsjaelland	W 2-0	1661	1750	25.2%	30.7%	44.1%	+13.1	7
2023-08-20	@ Silkeborg	L 0-2	1750	1661	44.1%	30.7%	25.2%	-13.1	12
2023-08-21	Vejle BK	W 2-1	1688	1618	46.9%	29.4%	23.7%	+4.1	8
2023-08-21	@ Viborg	L 1-2	1618	1688	23.7%	29.4%	46.9%	-4.1	0
2023-08-25	Viborg	W 1-0	1621	1692	27.0%	31.7%	41.4%	+6.7	5
2023-08-25	@ Randers	L 0-1	1692	1621	41.4%	31.7%	27.0%	-6.7	8
2023-08-26	Silkeborg	L 1-3	1780	1674	52.5%	26.4%	21.2%	-12.7	15
2023-08-26	@ FC Copenhagen	W 3-1	1674	1780	21.2%	26.4%	52.5%	+12.7	10
2023-08-27	Lyngby	W 1-0	1704	1642	45.5%	30.1%	24.4%	+4.5	11
2023-08-27	@ Aarhus GF	L 0-1	1642	1704	24.4%	30.1%	45.5%	-4.5	7
2023-08-27	Odense	L 1-5	1599	1673	26.7%	31.5%	41.8%	-14.5	2
2023-08-27	@ Hvidovre	W 5-1	1673	1599	41.8%	31.5%	26.7%	+14.5	8
2023-08-27	Midtjylland	W 3-0	1737	1715	39.5%	32.2%	28.3%	+14.0	15
2023-08-27	@ Nordsjaelland	L 0-3	1715	1737	28.3%	32.2%	39.5%	-14.0	9
2023-08-28	Brondby	L 0-1	1614	1690	26.5%	31.4%	42.1%	-4.9	0
2023-08-28	@ Vejle BK	W 1-0	1690	1614	42.1%	31.4%	26.5%	+4.9	12
2023-09-01	Vejle BK	L 1-2	1687	1609	48.2%	28.8%	23.1%	-7.0	8
2023-09-01	@ Odense	W 2-1	1609	1687	23.1%	28.8%	48.2%	+7.0	3
2023-09-03	Randers	W 3-1	1694	1628	46.3%	29.7%	24.0%	+7.2	15
2023-09-03	@ Brondby	L 1-3	1628	1694	24.0%	29.7%	46.3%	-7.2	5
2023-09-03	Viborg	W 2-0	1768	1686	48.6%	28.5%	22.8%	+7.9	18
2023-09-03	@ FC Copenhagen	L 0-2	1686	1768	22.8%	28.5%	48.6%	-7.9	8
2023-09-03	Nordsjaelland	D 1-1	1638	1751	23.2%	28.9%	47.9%	+0.8	8
2023-09-03	@ Lyngby	D 1-1	1751	1638	47.9%	28.9%	23.2%	-0.8	16
2023-09-03	Aarhus GF	D 1-1	1701	1708	35.1%	32.9%	32.0%	-0.1	10
2023-09-03	@ Midtjylland	D 1-1	1708	1701	32.0%	32.9%	35.1%	+0.1	12
2023-09-03	Hvidovre	W 1-0	1687	1584	51.9%	26.7%	21.4%	+3.9	13
2023-09-03	@ Silkeborg	L 0-1	1584	1687	21.4%	26.7%	51.9%	-3.9	2
2023-09-15	Midtjylland	D 2-2	1678	1701	32.9%	33.0%	34.2%	+0.0	9
2023-09-15	@ Viborg	D 2-2	1701	1678	34.2%	33.0%	32.9%	-0.0	11
2023-09-16	FC Copenhagen	D 2-2	1750	1775	32.6%	33.0%	34.5%	+0.0	17
2023-09-16	@ Nordsjaelland	D 2-2	1775	1750	34.5%	33.0%	32.6%	-0.0	19
2023-09-17	Brondby	L 0-3	1708	1702	37.2%	32.7%	30.1%	-17.0	12
2023-09-17	@ Aarhus GF	W 3-0	1702	1708	30.1%	32.7%	37.2%	+17.0	18
2023-09-17	Lyngby	L 0-1	1580	1638	28.4%	32.2%	39.3%	-5.1	2
2023-09-17	@ Hvidovre	W 1-0	1638	1580	39.3%	32.2%	28.4%	+5.1	11
2023-09-17	Randers	L 1-2	1616	1620	35.5%	32.9%	31.6%	-5.7	3
2023-09-17	@ Vejle BK	W 2-1	1620	1616	31.6%	32.9%	35.5%	+5.7	8
2023-09-18	Silkeborg	L 0-3	1681	1691	34.7%	32.9%	32.3%	-16.3	8
2023-09-18	@ Odense	W 3-0	1691	1681	32.3%	32.9%	34.7%	+16.3	16
2023-09-22	Vejle BK	D 1-1	1644	1610	41.2%	31.7%	27.1%	-0.4	12
2023-09-22	@ Lyngby	D 1-1	1610	1644	27.1%	31.7%	41.2%	+0.5	4
2023-09-24	FC Copenhagen	L 2-3	1719	1775	28.6%	32.3%	39.1%	-4.6	18
2023-09-24	@ Brondby	W 3-2	1775	1719	39.1%	32.3%	28.6%	+4.6	22
2023-09-24	Odense	W 2-1	1701	1664	41.7%	31.6%	26.8%	+4.6	14
2023-09-24	@ Midtjylland	L 1-2	1664	1701	26.8%	31.6%	41.7%	-4.6	8
2023-09-24	Aarhus GF	D 1-1	1626	1691	27.6%	31.9%	40.4%	+0.4	9
2023-09-24	@ Randers	D 1-1	1691	1626	40.4%	31.9%	27.6%	-0.4	13
2023-09-24	Viborg	W 2-0	1707	1678	40.5%	31.9%	27.6%	+9.5	19
2023-09-24	@ Silkeborg	L 0-2	1678	1707	27.6%	31.9%	40.5%	-9.5	9
2023-09-25	Hvidovre	D 0-0	1750	1575	63.2%	19.2%	17.6%	-1.7	18
2023-09-25	@ Nordsjaelland	D 0-0	1575	1750	17.6%	19.2%	63.2%	+1.7	3
2023-09-30	Midtjylland	L 0-2	1780	1705	47.5%	29.1%	23.4%	-13.8	22
2023-09-30	@ FC Copenhagen	W 2-0	1705	1780	23.4%	29.1%	47.5%	+13.8	17
2023-10-01	Brondby	L 0-3	1577	1714	21.6%	26.9%	51.5%	-10.7	3
2023-10-01	@ Hvidovre	W 3-0	1714	1577	51.5%	26.9%	21.6%	+10.7	21
2023-10-01	Silkeborg	W 1-0	1627	1716	25.2%	30.6%	44.2%	+7.0	12
2023-10-01	@ Randers	L 0-1	1716	1627	44.2%	30.6%	25.2%	-7.0	19
2023-10-01	Nordsjaelland	D 0-0	1611	1749	21.5%	26.8%	51.7%	+1.1	5
2023-10-01	@ Vejle BK	D 0-0	1749	1611	51.7%	26.8%	21.5%	-1.1	19
2023-10-01	Aarhus GF	W 2-1	1668	1691	33.0%	33.0%	34.1%	+5.5	12
2023-10-01	@ Viborg	L 1-2	1691	1668	34.1%	33.0%	33.0%	-5.5	13
2023-10-02	Lyngby	L 1-2	1660	1643	38.6%	32.4%	28.9%	-6.0	8
2023-10-02	@ Odense	W 2-1	1643	1660	28.9%	32.4%	38.6%	+6.0	15
2023-10-06	Lyngby	W 5-0	1709	1649	45.3%	30.1%	24.5%	+19.9	22
2023-10-06	@ Silkeborg	L 0-5	1649	1709	24.5%	30.1%	45.3%	-19.9	15
2023-10-08	FC Copenhagen	D 1-1	1685	1766	26.0%	31.2%	42.8%	+0.5	14
2023-10-08	@ Aarhus GF	D 1-1	1766	1685	42.8%	31.2%	26.0%	-0.5	23
2023-10-08	Viborg	W 1-0	1725	1674	43.8%	30.8%	25.4%	+4.7	24
2023-10-08	@ Brondby	L 0-1	1674	1725	25.4%	30.8%	43.8%	-4.7	12
2023-10-08	Randers	D 2-2	1719	1634	49.2%	28.2%	22.6%	-0.7	18
2023-10-08	@ Midtjylland	D 2-2	1634	1719	22.6%	28.2%	49.2%	+0.7	13
2023-10-08	Odense	L 0-1	1748	1654	50.6%	27.5%	22.0%	-7.6	19
2023-10-08	@ Nordsjaelland	W 1-0	1654	1748	22.0%	27.5%	50.6%	+7.6	11
2023-10-08	Hvidovre	W 3-1	1612	1566	43.0%	31.1%	25.9%	+7.8	8
2023-10-08	@ Vejle BK	L 1-3	1566	1612	25.9%	31.1%	43.0%	-7.8	3
2023-10-20	Silkeborg	L 1-2	1559	1729	19.6%	23.6%	56.8%	-3.2	3
2023-10-20	@ Hvidovre	W 2-1	1729	1559	56.8%	23.6%	19.6%	+3.2	25
2023-10-21	Vejle BK	W 2-1	1766	1619	58.8%	22.3%	18.9%	+3.1	26
2023-10-21	@ FC Copenhagen	L 1-2	1619	1766	18.9%	22.3%	58.8%	-3.1	8
2023-10-22	Aarhus GF	L 0-2	1629	1686	28.6%	32.3%	39.1%	-9.7	15
2023-10-22	@ Lyngby	W 2-0	1686	1629	39.1%	32.3%	28.6%	+9.7	17
2023-10-22	Brondby	D 2-2	1634	1729	24.7%	30.3%	45.0%	+0.5	14
2023-10-22	@ Randers	D 2-2	1729	1634	45.0%	30.3%	24.7%	-0.5	25
2023-10-22	Nordsjaelland	L 0-2	1669	1740	27.1%	31.7%	41.2%	-9.3	12
2023-10-22	@ Viborg	W 2-0	1740	1669	41.2%	31.7%	27.1%	+9.3	22
2023-10-23	Midtjylland	L 1-2	1661	1719	28.5%	32.3%	39.2%	-4.9	11
2023-10-23	@ Odense	W 2-1	1719	1661	39.2%	32.3%	28.5%	+4.9	21
2023-10-27	Lyngby	W 2-1	1723	1620	52.1%	26.6%	21.3%	+3.6	24
2023-10-27	@ Midtjylland	L 1-2	1620	1723	21.3%	26.6%	52.1%	-3.6	15
2023-10-28	Hvidovre	W 4-0	1769	1555	69.0%	15.2%	15.8%	+8.7	29
2023-10-28	@ FC Copenhagen	L 0-4	1555	1769	15.8%	15.2%	69.0%	-8.7	3
2023-10-29	Nordsjaelland	W 2-1	1729	1749	33.2%	33.0%	33.8%	+5.5	28
2023-10-29	@ Brondby	L 1-2	1749	1729	33.8%	33.0%	33.2%	-5.5	22
2023-10-29	Odense	D 0-0	1732	1656	47.8%	29.0%	23.2%	-0.9	26
2023-10-29	@ Silkeborg	D 0-0	1656	1732	23.2%	29.0%	47.8%	+0.9	12
2023-10-29	Viborg	D 1-1	1616	1660	30.1%	32.7%	37.2%	+0.2	9
2023-10-29	@ Vejle BK	D 1-1	1660	1616	37.2%	32.7%	30.1%	-0.2	13
2023-10-30	Randers	W 2-1	1696	1635	45.4%	30.1%	24.5%	+4.2	20
2023-10-30	@ Aarhus GF	L 1-2	1635	1696	24.5%	30.1%	45.4%	-4.2	14
2023-11-04	Odense	D 2-2	1616	1657	30.4%	32.7%	36.9%	+0.1	16
2023-11-04	@ Lyngby	D 2-2	1657	1616	36.9%	32.7%	30.4%	-0.1	13
2023-11-05	Midtjylland	L 1-4	1547	1727	19.1%	22.6%	58.3%	-7.6	3
2023-11-05	@ Hvidovre	W 4-1	1727	1547	58.3%	22.6%	19.1%	+7.6	27
2023-11-05	Vejle BK	W 1-0	1744	1617	55.8%	24.3%	20.0%	+3.5	25
2023-11-05	@ Nordsjaelland	L 0-1	1617	1744	20.0%	24.3%	55.8%	-3.5	9
2023-11-05	FC Copenhagen	L 2-4	1630	1777	20.9%	26.0%	53.1%	-5.5	14
2023-11-05	@ Randers	W 4-2	1777	1630	53.1%	26.0%	20.9%	+5.5	32
2023-11-05	Silkeborg	W 2-1	1660	1732	26.9%	31.6%	41.4%	+6.3	16
2023-11-05	@ Viborg	L 1-2	1732	1660	41.4%	31.6%	26.9%	-6.3	26
2023-11-06	Aarhus GF	D 1-1	1734	1700	41.4%	31.7%	27.0%	-0.5	29
2023-11-06	@ Brondby	D 1-1	1700	1734	27.0%	31.7%	41.4%	+0.5	21
2023-11-10	Randers	D 1-1	1725	1625	51.5%	26.9%	21.6%	-1.0	27
2023-11-10	@ Silkeborg	D 1-1	1625	1725	21.6%	26.9%	51.5%	+1.0	15
2023-11-12	Viborg	W 2-0	1700	1666	41.3%	31.7%	27.0%	+9.3	24
2023-11-12	@ Aarhus GF	L 0-2	1666	1700	27.0%	31.7%	41.3%	-9.3	16
2023-11-12	Brondby	D 0-0	1783	1734	43.6%	30.9%	25.6%	-0.6	33
2023-11-12	@ FC Copenhagen	D 0-0	1734	1783	25.6%	30.9%	43.6%	+0.6	30
2023-11-12	Nordsjaelland	W 2-0	1735	1747	34.3%	33.0%	32.7%	+10.8	30
2023-11-12	@ Midtjylland	L 0-2	1747	1735	32.7%	33.0%	34.3%	-10.8	25
2023-11-12	Hvidovre	L 0-2	1657	1539	54.3%	25.2%	20.5%	-15.0	13
2023-11-12	@ Odense	W 2-0	1539	1657	20.5%	25.2%	54.3%	+15.0	6
2023-11-12	Lyngby	W 1-0	1613	1616	35.8%	32.9%	31.4%	+5.5	12
2023-11-12	@ Vejle BK	L 0-1	1616	1613	31.4%	32.9%	35.8%	-5.5	16
2023-11-24	Vejle BK	D 1-1	1554	1619	27.7%	32.0%	40.3%	+0.4	7
2023-11-24	@ Hvidovre	D 1-1	1619	1554	40.3%	32.0%	27.7%	-0.4	13
2023-11-25	FC Copenhagen	W 2-1	1657	1782	22.4%	28.0%	49.7%	+7.1	19
2023-11-25	@ Viborg	L 1-2	1782	1657	49.7%	28.0%	22.4%	-7.1	33
2023-11-26	Brondby	D 3-3	1611	1735	22.4%	28.1%	49.5%	+0.5	17
2023-11-26	@ Lyngby	D 3-3	1735	1611	49.5%	28.1%	22.4%	-0.5	31
2023-11-26	Aarhus GF	D 0-0	1737	1710	40.2%	32.0%	27.8%	-0.4	26
2023-11-26	@ Nordsjaelland	D 0-0	1710	1737	27.8%	32.0%	40.2%	+0.4	25
2023-11-26	Odense	L 0-1	1626	1642	33.8%	33.0%	33.2%	-5.8	15
2023-11-26	@ Randers	W 1-0	1642	1626	33.2%	33.0%	33.8%	+5.8	16
2023-11-27	Midtjylland	L 1-4	1724	1745	33.1%	33.0%	33.9%	-13.3	27
2023-11-27	@ Silkeborg	W 4-1	1745	1724	33.9%	33.0%	33.1%	+13.3	33
2023-12-01	Vejle BK	D 0-0	1620	1618	36.5%	32.8%	30.8%	-0.2	16
2023-12-01	@ Randers	D 0-0	1618	1620	30.8%	32.8%	36.5%	+0.2	14
2023-12-03	Hvidovre	W 4-0	1734	1555	63.9%	18.7%	17.4%	+10.1	34
2023-12-03	@ Brondby	L 0-4	1555	1734	17.4%	18.7%	63.9%	-10.1	7
2023-12-03	Aarhus GF	L 1-2	1775	1710	46.1%	29.8%	24.1%	-6.8	33
2023-12-03	@ FC Copenhagen	W 2-1	1710	1775	24.1%	29.8%	46.1%	+6.8	28
2023-12-03	Silkeborg	W 2-0	1611	1711	24.3%	30.0%	45.7%	+13.5	20
2023-12-03	@ Lyngby	L 0-2	1711	1611	45.7%	30.0%	24.3%	-13.5	27
2023-12-03	Nordsjaelland	D 1-1	1648	1736	25.3%	30.7%	43.9%	+0.6	17
2023-12-03	@ Odense	D 1-1	1736	1648	43.9%	30.7%	25.3%	-0.6	27
2023-12-04	Viborg	W 5-1	1759	1664	50.7%	27.4%	21.9%	+11.9	36
2023-12-04	@ Midtjylland	L 1-5	1664	1759	21.9%	27.4%	50.7%	-11.9	19
2024-02-16	Odense	L 1-2	1652	1649	36.7%	32.7%	30.5%	-5.8	19
2024-02-16	@ Viborg	W 2-1	1649	1652	30.5%	32.7%	36.7%	+5.8	20
2024-02-18	Midtjylland	W 1-0	1744	1770	32.4%	32.9%	34.7%	+5.9	37
2024-02-18	@ Brondby	L 0-1	1770	1744	34.7%	32.9%	32.4%	-5.9	36
2024-02-18	Randers	L 1-3	1545	1620	26.6%	31.5%	42.0%	-7.9	7
2024-02-18	@ Hvidovre	W 3-1	1620	1545	42.0%	31.5%	26.6%	+7.9	19
2024-02-18	Lyngby	W 3-2	1736	1625	53.2%	25.9%	20.9%	+3.3	30
2024-02-18	@ Nordsjaelland	L 2-3	1625	1736	20.9%	25.9%	53.2%	-3.3	20
2024-02-18	FC Copenhagen	L 0-3	1698	1768	27.0%	31.7%	41.3%	-13.5	27
2024-02-18	@ Silkeborg	W 3-0	1768	1698	41.3%	31.7%	27.0%	+13.5	36
2024-02-19	Aarhus GF	D 0-0	1618	1717	24.4%	30.1%	45.5%	+0.8	15
2024-02-19	@ Vejle BK	D 0-0	1717	1618	45.5%	30.1%	24.4%	-0.8	29
2024-02-23	Lyngby	W 1-0	1628	1621	37.2%	32.7%	30.1%	+5.4	22
2024-02-23	@ Randers	L 0-1	1621	1628	30.1%	32.7%	37.2%	-5.4	20
2024-02-25	Midtjylland	L 2-3	1716	1765	29.5%	32.5%	37.9%	-4.7	29
2024-02-25	@ Aarhus GF	W 3-2	1765	1716	37.9%	32.5%	29.5%	+4.7	39
2024-02-25	Viborg	D 2-2	1537	1646	23.5%	29.2%	47.3%	+0.6	8
2024-02-25	@ Hvidovre	D 2-2	1646	1537	47.3%	29.2%	23.5%	-0.6	20
2024-02-25	Brondby	L 0-3	1654	1750	24.7%	30.2%	45.1%	-12.4	20
2024-02-25	@ Odense	W 3-0	1750	1654	45.1%	30.2%	24.7%	+12.4	40
2024-02-25	Silkeborg	W 2-0	1619	1684	27.7%	32.0%	40.4%	+12.4	18
2024-02-25	@ Vejle BK	L 0-2	1684	1619	40.4%	32.0%	27.7%	-12.4	27
2024-02-26	Nordsjaelland	W 2-0	1782	1739	42.7%	31.2%	26.1%	+9.0	39
2024-02-26	@ FC Copenhagen	L 0-2	1739	1782	26.1%	31.2%	42.7%	-9.0	30
2024-03-01	FC Copenhagen	W 2-0	1769	1791	33.1%	33.0%	34.0%	+11.0	42
2024-03-01	@ Midtjylland	L 0-2	1791	1769	34.0%	33.0%	33.1%	-11.0	39
2024-03-03	Odense	D 1-1	1711	1642	46.7%	29.5%	23.8%	-0.7	30
2024-03-03	@ Aarhus GF	D 1-1	1642	1711	23.8%	29.5%	46.7%	+0.8	21
2024-03-03	Vejle BK	D 1-1	1762	1632	56.4%	23.9%	19.8%	-1.2	41
2024-03-03	@ Brondby	D 1-1	1632	1762	19.8%	23.9%	56.4%	+1.2	19
2024-03-03	Hvidovre	L 2-4	1616	1537	48.2%	28.8%	23.1%	-10.8	20
2024-03-03	@ Lyngby	W 4-2	1537	1616	23.1%	28.8%	48.2%	+10.8	11
2024-03-03	Randers	W 3-0	1646	1633	38.1%	32.5%	29.4%	+14.5	23
2024-03-03	@ Viborg	L 0-3	1633	1646	29.4%	32.5%	38.1%	-14.5	22
2024-03-04	Silkeborg	W 3-1	1730	1672	45.0%	30.3%	24.7%	+7.4	33
2024-03-04	@ Nordsjaelland	L 1-3	1672	1730	24.7%	30.3%	45.0%	-7.4	27
2024-03-08	Nordsjaelland	L 1-2	1548	1737	18.6%	21.6%	59.7%	-3.0	11
2024-03-08	@ Hvidovre	W 2-1	1737	1548	59.7%	21.6%	18.6%	+3.0	36
2024-03-10	Lyngby	W 4-0	1780	1605	63.2%	19.2%	17.6%	+10.3	42
2024-03-10	@ FC Copenhagen	L 0-4	1605	1780	17.6%	19.2%	63.2%	-10.3	20
2024-03-10	Aarhus GF	L 0-1	1664	1711	29.8%	32.6%	37.6%	-5.3	27
2024-03-10	@ Silkeborg	W 1-0	1711	1664	37.6%	32.6%	29.8%	+5.3	33
2024-03-10	Odense	L 0-1	1633	1643	34.8%	32.9%	32.3%	-5.9	19
2024-03-10	@ Vejle BK	W 1-0	1643	1633	32.3%	32.9%	34.8%	+5.9	24
2024-03-10	Brondby	L 1-2	1660	1761	24.2%	29.9%	45.9%	-4.2	23
2024-03-10	@ Viborg	W 2-1	1761	1660	45.9%	29.9%	24.2%	+4.2	44
2024-03-11	Midtjylland	L 0-1	1619	1780	20.1%	24.5%	55.4%	-3.5	22
2024-03-11	@ Randers	W 1-0	1780	1619	55.4%	24.5%	20.1%	+3.5	45
2024-03-17	Hvidovre	W 1-0	1716	1545	62.6%	19.7%	17.8%	+2.9	36
2024-03-17	@ Aarhus GF	L 0-1	1545	1716	17.8%	19.7%	62.6%	-2.9	11
2024-03-17	Silkeborg	W 4-1	1765	1659	52.5%	26.3%	21.2%	+8.8	47
2024-03-17	@ Brondby	L 1-4	1659	1765	21.2%	26.3%	52.5%	-8.8	27
2024-03-17	Viborg	W 2-0	1595	1656	28.1%	32.1%	39.8%	+12.3	23
2024-03-17	@ Lyngby	L 0-2	1656	1595	39.8%	32.1%	28.1%	-12.3	23
2024-03-17	Vejle BK	W 3-0	1784	1627	60.4%	21.1%	18.4%	+8.5	48
2024-03-17	@ Midtjylland	L 0-3	1627	1784	18.4%	21.1%	60.4%	-8.5	19
2024-03-17	Randers	D 1-1	1740	1615	55.4%	24.5%	20.1%	-1.2	37
2024-03-17	@ Nordsjaelland	D 1-1	1615	1740	20.1%	24.5%	55.4%	+1.2	23
2024-03-17	FC Copenhagen	L 0-2	1649	1790	21.3%	26.5%	52.2%	-7.2	24
2024-03-17	@ Odense	W 2-0	1790	1649	52.2%	26.5%	21.3%	+7.2	45

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
2024-03-31	Lyngby	W 6-2	1616	1607	37.6%	32.6%	29.8%	+13.5	3
2024-03-31	@ Randers	L 2-6	1607	1616	29.8%	32.6%	37.6%	-13.5	0
2024-03-31	Hvidovre	W 3-1	1644	1542	51.8%	26.8%	21.5%	+6.3	3
2024-03-31	@ Viborg	L 1-3	1542	1644	21.5%	26.8%	51.8%	-6.3	0
2024-04-01	Brondby	L 1-2	1797	1774	39.6%	32.2%	28.2%	-6.1	0
2024-04-01	@ FC Copenhagen	W 2-1	1774	1797	28.2%	32.2%	39.6%	+6.1	3
2024-04-01	Nordsjaelland	L 2-3	1792	1739	44.2%	30.6%	25.1%	-6.2	0
2024-04-01	@ Midtjylland	W 3-2	1739	1792	25.1%	30.6%	44.2%	+6.2	3
2024-04-01	Aarhus GF	D 2-2	1650	1719	27.3%	31.8%	41.0%	+0.3	1
2024-04-01	@ Silkeborg	D 2-2	1719	1650	41.0%	31.8%	27.3%	-0.3	1
2024-04-02	Vejle BK	L 0-1	1641	1618	39.6%	32.2%	28.2%	-6.5	0
2024-04-02	@ Odense	W 1-0	1618	1641	28.2%	32.2%	39.6%	+6.5	3
2024-04-05	Odense	D 0-0	1594	1635	30.4%	32.7%	36.9%	+0.2	1
2024-04-05	@ Lyngby	D 0-0	1635	1594	36.9%	32.7%	30.4%	-0.2	1
2024-04-07	Midtjylland	L 0-1	1719	1786	27.4%	31.8%	40.8%	-5.0	1
2024-04-07	@ Aarhus GF	W 1-0	1786	1719	40.8%	31.8%	27.4%	+5.0	3
2024-04-07	Randers	L 1-3	1536	1630	24.8%	30.3%	44.9%	-7.4	0
2024-04-07	@ Hvidovre	W 3-1	1630	1536	44.9%	30.3%	24.8%	+7.4	6
2024-04-07	FC Copenhagen	W 2-1	1745	1791	29.8%	32.6%	37.5%	+5.9	6
2024-04-07	@ Nordsjaelland	L 1-2	1791	1745	37.5%	32.6%	29.8%	-5.9	0
2024-04-07	Viborg	D 1-1	1625	1650	32.6%	33.0%	34.5%	+0.0	4
2024-04-07	@ Vejle BK	D 1-1	1650	1625	34.5%	33.0%	32.6%	-0.1	4
2024-04-08	Silkeborg	D 1-1	1780	1650	56.2%	24.0%	19.8%	-1.2	4
2024-04-08	@ Brondby	D 1-1	1650	1780	19.8%	24.0%	56.2%	+1.2	2
2024-04-12	Viborg	L 1-3	1635	1650	34.0%	33.0%	33.1%	-9.6	1
2024-04-12	@ Odense	W 3-1	1650	1635	33.1%	33.0%	34.0%	+9.6	7
2024-04-14	Brondby	D 2-2	1714	1779	27.6%	31.9%	40.5%	+0.3	2
2024-04-14	@ Aarhus GF	D 2-2	1779	1714	40.5%	31.9%	27.6%	-0.3	5
2024-04-14	Hvidovre	D 1-1	1594	1528	46.1%	29.8%	24.1%	-0.7	2
2024-04-14	@ Lyngby	D 1-1	1528	1594	24.1%	29.8%	46.1%	+0.7	1
2024-04-14	FC Copenhagen	D 2-2	1791	1785	37.0%	32.7%	30.3%	-0.1	4
2024-04-14	@ Midtjylland	D 2-2	1785	1791	30.3%	32.7%	37.0%	+0.2	1
2024-04-14	Randers	L 1-2	1625	1637	34.4%	33.0%	32.7%	-5.6	4
2024-04-14	@ Vejle BK	W 2-1	1637	1625	32.7%	33.0%	34.4%	+5.6	9
2024-04-15	Nordsjaelland	L 0-1	1652	1751	24.3%	30.0%	45.7%	-4.5	2
2024-04-15	@ Silkeborg	W 1-0	1751	1652	45.7%	30.0%	24.3%	+4.5	9
2024-04-19	Odense	D 2-2	1643	1625	38.8%	32.4%	28.8%	-0.2	10
2024-04-19	@ Randers	D 2-2	1625	1643	28.8%	32.4%	38.8%	+0.2	2
2024-04-21	Midtjylland	W 2-1	1779	1791	34.4%	33.0%	32.6%	+5.4	8
2024-04-21	@ Brondby	L 1-2	1791	1779	32.6%	33.0%	34.4%	-5.4	4
2024-04-21	Silkeborg	W 2-0	1785	1647	57.5%	23.1%	19.4%	+6.3	4
2024-04-21	@ FC Copenhagen	L 0-2	1647	1785	19.4%	23.1%	57.5%	-6.3	2
2024-04-21	Vejle BK	W 2-1	1529	1619	25.1%	30.6%	44.3%	+6.6	4
2024-04-21	@ Hvidovre	L 1-2	1619	1529	44.3%	30.6%	25.1%	-6.6	4
2024-04-21	Lyngby	W 2-1	1660	1593	46.3%	29.7%	24.0%	+4.2	10
2024-04-21	@ Viborg	L 1-2	1593	1660	24.0%	29.7%	46.3%	-4.2	2
2024-04-22	Aarhus GF	W 7-2	1756	1714	42.5%	31.3%	26.2%	+14.7	12
2024-04-22	@ Nordsjaelland	L 2-7	1714	1756	26.2%	31.3%	42.5%	-14.7	2
2024-04-26	Vejle BK	D 1-1	1589	1613	32.8%	33.0%	34.3%	+0.0	3
2024-04-26	@ Lyngby	D 1-1	1613	1589	34.3%	33.0%	32.8%	-0.0	5
2024-04-28	Aarhus GF	W 3-2	1792	1699	50.3%	27.6%	22.1%	+3.6	7
2024-04-28	@ FC Copenhagen	L 2-3	1699	1792	22.1%	27.6%	50.3%	-3.6	2
2024-04-28	Brondby	D 1-1	1770	1784	34.2%	33.0%	32.9%	-0.0	13
2024-04-28	@ Nordsjaelland	D 1-1	1784	1770	32.9%	33.0%	34.2%	+0.0	9
2024-04-28	Hvidovre	L 1-2	1625	1536	49.9%	27.8%	22.2%	-7.1	2
2024-04-28	@ Odense	W 2-1	1536	1625	22.2%	27.8%	49.9%	+7.1	7
2024-04-28	Randers	D 0-0	1664	1643	39.3%	32.2%	28.4%	-0.4	11
2024-04-28	@ Viborg	D 0-0	1643	1664	28.4%	32.2%	39.3%	+0.4	11
2024-04-29	Midtjylland	W 3-0	1641	1786	21.1%	26.2%	52.7%	+21.4	5
2024-04-29	@ Silkeborg	L 0-3	1786	1641	52.7%	26.2%	21.1%	-21.4	4
2024-05-03	Nordsjaelland	L 1-3	1696	1770	26.6%	31.5%	41.9%	-7.9	2
2024-05-03	@ Aarhus GF	W 3-1	1770	1696	41.9%	31.5%	26.6%	+8.0	16
2024-05-05	Viborg	L 0-1	1543	1663	22.7%	28.4%	48.9%	-4.1	7
2024-05-05	@ Hvidovre	W 1-0	1663	1543	48.9%	28.4%	22.7%	+4.2	14
2024-05-05	Randers	W 2-1	1589	1643	28.9%	32.4%	38.8%	+6.0	6
2024-05-05	@ Lyngby	L 1-2	1643	1589	38.8%	32.4%	28.9%	-6.0	11
2024-05-05	Brondby	W 3-2	1764	1784	33.3%	33.0%	33.8%	+5.2	7
2024-05-05	@ Midtjylland	L 2-3	1784	1764	33.8%	33.0%	33.3%	-5.2	9
2024-05-05	FC Copenhagen	L 0-3	1662	1795	21.8%	27.3%	50.9%	-10.8	5
2024-05-05	@ Silkeborg	W 3-0	1795	1662	50.9%	27.3%	21.8%	+10.8	10
2024-05-06	Odense	W 3-2	1613	1618	35.4%	32.9%	31.7%	+5.0	8
2024-05-06	@ Vejle BK	L 2-3	1618	1613	31.7%	32.9%	35.4%	-5.0	2
2024-05-10	Lyngby	L 1-2	1613	1595	38.9%	32.3%	28.7%	-6.0	2
2024-05-10	@ Odense	W 2-1	1595	1613	28.7%	32.3%	38.9%	+6.0	9
2024-05-12	FC Copenhagen	L 1-3	1779	1806	32.3%	32.9%	34.8%	-9.2	9
2024-05-12	@ Brondby	W 3-1	1806	1779	34.8%	32.9%	32.3%	+9.2	13
2024-05-12	Aarhus GF	W 2-1	1769	1688	48.6%	28.5%	22.8%	+3.9	10
2024-05-12	@ Midtjylland	L 1-2	1688	1769	22.8%	28.5%	48.6%	-3.9	2
2024-05-12	Silkeborg	W 4-1	1778	1651	55.7%	24.3%	20.0%	+8.1	19
2024-05-12	@ Nordsjaelland	L 1-4	1651	1778	20.0%	24.3%	55.7%	-8.1	5
2024-05-12	Hvidovre	D 2-2	1637	1539	51.2%	27.1%	21.7%	-0.7	12
2024-05-12	@ Randers	D 2-2	1539	1637	21.7%	27.1%	51.2%	+0.7	8
2024-05-12	Vejle BK	L 1-2	1667	1618	43.7%	30.8%	25.5%	-6.5	14
2024-05-12	@ Viborg	W 2-1	1618	1667	25.5%	30.8%	43.7%	+6.5	11
2024-05-15	Nordsjaelland	W 1-0	1770	1786	33.8%	33.0%	33.2%	+5.8	12
2024-05-15	@ Brondby	L 0-1	1786	1770	33.2%	33.0%	33.8%	-5.8	19
2024-05-15	Viborg	W 1-0	1636	1661	32.6%	33.0%	34.4%	+5.9	15
2024-05-15	@ Randers	L 0-1	1661	1636	34.4%	33.0%	32.6%	-5.9	14
2024-05-15	Lyngby	W 1-0	1624	1601	39.7%	32.2%	28.2%	+5.1	14
2024-05-15	@ Vejle BK	L 0-1	1601	1624	28.2%	32.2%	39.7%	-5.1	9
2024-05-16	Silkeborg	L 0-1	1684	1643	42.2%	31.4%	26.4%	-6.8	2
2024-05-16	@ Aarhus GF	W 1-0	1643	1684	26.4%	31.4%	42.2%	+6.8	8
2024-05-16	Midtjylland	L 1-2	1815	1773	42.5%	31.3%	26.2%	-6.4	13
2024-05-16	@ FC Copenhagen	W 2-1	1773	1815	26.2%	31.3%	42.5%	+6.4	13
2024-05-16	Odense	L 1-2	1539	1607	27.3%	31.8%	40.8%	-4.7	8
2024-05-16	@ Hvidovre	W 2-1	1607	1539	40.8%	31.8%	27.3%	+4.7	5
2024-05-19	Randers	W 2-0	1612	1642	31.9%	32.9%	35.2%	+11.3	8
2024-05-19	@ Odense	L 0-2	1642	1612	35.2%	32.9%	31.9%	-11.3	15
2024-05-20	Viborg	W 3-1	1596	1655	28.3%	32.2%	39.5%	+10.6	12
2024-05-20	@ Lyngby	L 1-3	1655	1596	39.5%	32.2%	28.3%	-10.6	14
2024-05-20	Midtjylland	D 3-3	1781	1780	36.3%	32.8%	30.9%	-0.1	20
2024-05-20	@ Nordsjaelland	D 3-3	1780	1781	30.9%	32.8%	36.3%	+0.1	14
2024-05-20	Brondby	L 0-2	1650	1776	22.3%	28.0%	49.7%	-7.7	8
2024-05-20	@ Silkeborg	W 2-0	1776	1650	49.7%	28.0%	22.3%	+7.7	15
2024-05-20	Hvidovre	W 2-0	1629	1535	50.7%	27.4%	21.9%	+7.5	17
2024-05-20	@ Vejle BK	L 0-2	1535	1629	21.9%	27.4%	50.7%	-7.5	8
2024-05-21	FC Copenhagen	W 3-2	1677	1809	21.9%	27.4%	50.7%	+6.8	5
2024-05-21	@ Aarhus GF	L 2-3	1809	1677	50.7%	27.4%	21.9%	-6.8	13
2024-05-25	Lyngby	D 0-0	1527	1606	26.2%	31.2%	42.6%	+0.6	9
2024-05-25	@ Hvidovre	D 0-0	1606	1527	42.6%	31.2%	26.2%	-0.6	13
2024-05-25	Vejle BK	W 1-0	1631	1637	35.3%	32.9%	31.8%	+5.6	18
2024-05-25	@ Randers	L 0-1	1637	1631	31.8%	32.9%	35.3%	-5.6	17
2024-05-25	Odense	W 2-1	1644	1623	39.4%	32.2%	28.4%	+4.8	17
2024-05-25	@ Viborg	L 1-2	1623	1644	28.4%	32.2%	39.4%	-4.9	8
2024-05-26	Aarhus GF	L 2-3	1783	1684	51.4%	27.0%	21.6%	-6.9	15
2024-05-26	@ Brondby	W 3-2	1684	1783	21.6%	27.0%	51.4%	+6.9	8
2024-05-26	Nordsjaelland	D 1-1	1802	1780	39.4%	32.2%	28.4%	-0.4	14
2024-05-26	@ FC Copenhagen	D 1-1	1780	1802	28.4%	32.2%	39.4%	+0.3	21
2024-05-26	Silkeborg	D 3-3	1780	1642	57.4%	23.2%	19.4%	-0.8	15
2024-05-26	@ Midtjylland	D 3-3	1642	1780	19.4%	23.2%	57.4%	+0.8	9

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
2024-05-31	Randers	W 2-1	1802	1636	58.9%	22.2%	18.9%	+3.1	1-0
2024-05-31	@ FC Copenhagen	L 1-2	1636	1802	18.9%	22.2%	58.9%	-3.0	0-1

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	2023-11-12	20.47%	Hvidovre	1539	2	@ Odense	1657	0
2	2024-04-29	21.08%	@ Silkeborg	1641	3	Midtjylland	1786	0
3	2023-08-26	21.18%	Silkeborg	1674	3	@ FC Copenhagen	1780	1
4	2024-05-26	21.61%	Aarhus GF	1684	3	@ Brondby	1783	2
5	2024-05-21	21.89%	@ Aarhus GF	1677	3	FC Copenhagen	1809	2
6	2023-10-08	21.97%	Odense	1654	1	@ Nordsjaelland	1748	0
7	2024-04-28	22.25%	Hvidovre	1536	2	@ Odense	1625	1
8	2023-11-25	22.35%	@ Viborg	1657	2	FC Copenhagen	1782	1
9	2023-09-01	23.06%	Vejle BK	1609	2	@ Odense	1687	1
10	2024-03-03	23.06%	Hvidovre	1537	4	@ Lyngby	1616	2
11	2023-09-30	23.36%	Midtjylland	1705	2	@ FC Copenhagen	1780	0
12	2023-12-03	24.13%	Aarhus GF	1710	2	@ FC Copenhagen	1775	1
13	2023-12-03	24.30%	@ Lyngby	1611	2	Silkeborg	1711	0
14	2023-08-06	24.36%	@ Lyngby	1635	4	Midtjylland	1734	1
15	2024-04-21	25.14%	@ Hvidovre	1529	2	Vejle BK	1619	1
16	2024-04-01	25.15%	Nordsjaelland	1739	3	@ Midtjylland	1792	2
17	2023-10-01	25.18%	@ Randers	1627	1	Silkeborg	1716	0
18	2023-08-20	25.22%	@ Silkeborg	1661	2	Nordsjaelland	1750	0
19	2024-05-12	25.47%	Vejle BK	1618	2	@ Viborg	1667	1
20	2024-05-16	26.20%	Midtjylland	1773	2	@ FC Copenhagen	1815	1
21	2024-05-16	26.38%	Silkeborg	1643	1	@ Aarhus GF	1684	0
22	2023-08-20	26.53%	Brondby	1683	1	@ Midtjylland	1722	0
23	2023-11-05	26.93%	@ Viborg	1660	2	Silkeborg	1732	1
24	2023-08-25	26.96%	@ Randers	1621	1	Viborg	1692	0
25	2024-02-25	27.66%	@ Vejle BK	1619	2	Silkeborg	1684	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	2024-04-29	21.41	@ Silkeborg	3	1641	21.08%	Midtjylland	0	1786	52.72%
2	2023-08-13	20.94	Nordsjaelland	5	1729	43.01%	@ Randers	0	1647	25.90%
3	2023-10-06	19.88	@ Silkeborg	5	1709	45.31%	Lyngby	0	1649	24.54%
4	2023-09-17	17.03	Brondby	3	1702	30.14%	@ Aarhus GF	0	1708	37.19%
5	2023-08-06	16.45	@ Lyngby	4	1635	24.36%	Midtjylland	1	1734	45.63%
6	2023-09-18	16.26	Silkeborg	3	1691	32.34%	@ Odense	0	1681	34.72%
7	2023-11-12	15.02	Hvidovre	2	1539	20.47%	@ Odense	0	1657	54.32%
8	2024-04-22	14.68	@ Nordsjaelland	7	1756	42.48%	Aarhus GF	2	1714	26.23%
9	2023-08-27	14.55	Odense	5	1673	41.77%	@ Hvidovre	1	1599	26.69%
10	2024-03-03	14.47	@ Viborg	3	1646	38.06%	Randers	0	1633	29.43%
11	2023-08-05	14.24	@ FC Copenhagen	4	1756	50.61%	Randers	0	1661	21.94%
12	2023-08-13	14.24	@ Brondby	3	1669	38.81%	Lyngby	0	1651	28.83%
13	2023-08-27	14.03	@ Nordsjaelland	3	1737	39.51%	Midtjylland	0	1715	28.29%
14	2023-09-30	13.80	Midtjylland	2	1705	23.36%	@ FC Copenhagen	0	1780	47.54%
15	2024-02-18	13.51	FC Copenhagen	3	1768	41.28%	@ Silkeborg	0	1698	27.03%
16	2024-03-31	13.51	@ Randers	6	1616	37.58%	Lyngby	2	1607	29.81%
17	2023-12-03	13.46	@ Lyngby	2	1611	24.30%	Silkeborg	0	1711	45.74%
18	2023-11-27	13.30	Midtjylland	4	1745	33.89%	@ Silkeborg	1	1724	33.15%
19	2023-08-20	13.14	@ Silkeborg	2	1661	25.22%	Nordsjaelland	0	1750	44.12%
20	2023-08-26	12.73	Silkeborg	3	1674	21.18%	@ FC Copenhagen	1	1780	52.48%
21	2023-07-24	12.58	@ Nordsjaelland	4	1699	36.59%	Viborg	1	1697	30.65%
22	2024-02-25	12.41	Brondby	3	1750	45.09%	@ Odense	0	1654	24.66%
23	2024-02-25	12.39	@ Vejle BK	2	1619	27.66%	Silkeborg	0	1684	40.38%
24	2024-03-17	12.28	@ Lyngby	2	1595	28.06%	Viborg	0	1656	39.83%
25	2023-12-04	11.85	@ Midtjylland	5	1759	50.66%	Viborg	1	1664	21.92%