2022-23 Superliga Season

192 games · 2 promotion-playoff teams

Final

Champion

FC Copenhagen

15th Title

Last Title: 2021-22

Relegated

Aalborg

27 pts

Horsens · 28 pts

Biggest Overachiever

Odense

6.46 points above expected

47 points · 40.54 expected points

Biggest Disappointment

Horsens

7.29 points below expected

28 points · 35.29 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	Nordsjaelland	22	12	7	3	43	38	20	+18	30.22	+12.78
2	FC Copenhagen	22	13	3	6	42	45	22	+23	38.82	+3.18
3	Viborg	22	10	7	5	37	32	25	+7	31.22	+5.78
4	Aarhus GF	22	10	5	7	35	26	20	+6	27.13	+7.87
5	Randers	22	8	8	6	32	28	30	-2	28.92	+3.08
6	Brondby	22	8	6	8	30	32	34	-2	28.68	+1.32
7	Silkeborg	22	8	5	9	29	34	35	-1	33.20	-4.20
8	Midtjylland	22	6	10	6	28	32	29	+3	36.17	-8.17
9	Odense	22	7	7	8	28	27	38	-11	25.56	+2.44
10	Horsens	22	6	5	11	23	26	37	-11	27.56	-4.56
11	Lyngby	22	3	7	12	16	21	36	-15	23.95	-7.95
12	Aalborg	22	3	6	13	15	18	33	-15	26.26	-11.26

#	Team	GP	W	D	L	Pts	GF	GA	GD	SimPts	vsSim
1	FC Copenhagen Champion	32	18	5	9	59	61	35	+26	60.90	-1.90
2	Nordsjaelland	32	15	10	7	55	50	35	+15	57.30	-2.30
3	Aarhus GF	32	14	9	9	51	42	31	+11	46.83	+4.17
4	Viborg	32	14	9	9	51	44	35	+9	50.65	+0.35
5	Brondby	32	12	8	12	44	48	52	-4	41.92	+2.08
6	Randers	32	10	11	11	41	40	47	-7	42.91	-1.91

#	Team	GP	W	D	L	Pts	GF	GA	GD	SimPts	vsSim
1	Midtjylland	32	12	13	7	49	53	39	+14	45.67	+3.33
2	Odense	32	12	11	9	47	47	51	-4	40.54	+6.46
3	Silkeborg	32	11	8	13	41	44	49	-5	44.54	-3.54
4	Lyngby	32	6	10	16	28	30	49	-19	27.81	+0.19
5	Horsens Relegated	32	7	7	18	28	33	58	-25	35.29	-7.29
6	Aalborg Relegated	32	6	9	17	27	34	45	-11	26.59	+0.41

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

Form

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

League Race

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

Promotion Playoff

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

Finals

Midtjylland 1

Viborg 0

Season Summary

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

Team	Elo	Points	Avg	Luck	Percentile	Min	5th	Q1	Median	Q3	95th	Max
FC Copenhagen	1780	42	38.82	+3.18	73.2%	14	29	35	39	43	48	60
Midtjylland	1729	28	36.17	-8.17	10.0%	14	26	32	36	40	46	55
Viborg	1668	37	31.22	+5.78	85.1%	10	21	27	31	35	41	59
Aarhus GF	1662	35	27.13	+7.87	92.0%	6	18	23	27	31	37	50
Nordsjaelland	1661	43	30.22	+12.78	98.6%	9	21	26	30	34	40	52
Brondby	1627	30	28.68	+1.32	63.0%	7	19	25	29	33	39	51
Odense	1625	28	25.56	+2.44	69.9%	6	16	22	25	29	35	50
Silkeborg	1618	29	33.20	-4.20	26.8%	13	24	29	33	37	43	55
Randers	1592	32	28.92	+3.08	72.9%	10	19	25	29	33	39	52
Aalborg	1580	15	26.26	-11.26	3.0%	6	17	22	26	30	36	48
Lyngby	1545	16	23.95	-7.95	9.1%	3	15	20	24	28	33	46
Horsens	1508	23	27.56	-4.56	24.0%	7	18	24	27	31	37	50

Head-to-Head

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

Beat expectations Fell short Within expectations

Team	AAL	AG	BRO	FC	HOR	LYN	MID	NOR	ODE	RAN	SIL	VIB
Aalborg	—	0-0-2 2.67	1-0-1 2.52	0-0-2 1.70	2-2-0 5.35	2-1-1 6.03	1-2-1 3.70	0-1-1 2.29	0-2-2 5.43	0-0-2 2.41	0-1-3 4.53	0-0-2 2.47
Aarhus GF	2-0-0 2.73	—	0-2-2 5.35	0-1-3 3.60	1-0-1 2.73	2-0-0 2.91	1-0-1 1.98	1-2-1 4.89	2-0-0 2.91	2-2-0 5.64	0-1-1 2.27	3-1-0 4.49
Brondby	1-0-1 2.88	2-2-0 5.46	—	1-1-2 3.52	2-0-0 2.59	0-1-1 3.33	1-0-1 2.06	1-0-3 4.81	1-1-0 2.96	2-1-1 4.98	1-0-1 2.41	0-2-2 4.67
FC Copenhagen	2-0-0 3.79	3-1-0 7.31	2-1-1 7.42	—	1-0-1 3.86	2-0-0 3.82	0-1-1 2.86	1-1-2 6.94	1-0-1 3.86	1-1-2 7.52	2-0-0 3.15	3-0-1 7.05
Horsens	0-2-2 5.46	1-0-1 2.67	0-0-2 2.82	1-0-1 1.62	—	1-2-1 5.31	0-1-3 3.67	1-0-1 2.41	0-2-2 5.13	1-0-1 2.73	2-0-2 4.14	0-0-2 2.37
Lyngby	1-1-2 4.77	0-0-2 2.49	1-1-0 2.09	0-0-2 1.68	1-2-1 5.49	—	2-1-1 3.49	0-1-1 2.14	0-1-3 4.91	0-0-2 2.24	1-2-1 4.24	0-1-1 2.12
Midtjylland	1-2-1 7.20	1-0-1 3.46	1-0-1 3.36	1-1-0 2.54	3-1-0 7.25	1-1-2 7.45	—	0-2-0 3.01	2-1-1 7.00	0-2-0 3.45	1-2-1 6.48	1-1-0 2.90
Nordsjaelland	1-1-0 3.12	1-2-1 5.92	3-0-1 6.03	2-1-1 3.93	1-0-1 2.99	1-1-0 3.28	0-2-0 2.39	—	2-0-0 2.95	3-1-0 5.82	0-0-2 2.64	1-2-1 5.36
Odense	2-2-0 5.37	0-0-2 2.50	0-1-1 2.45	1-0-1 1.62	2-2-0 5.71	3-1-0 5.90	1-1-2 3.88	0-0-2 2.47	—	0-2-0 2.63	3-1-0 4.33	0-1-1 2.17
Randers	2-0-0 2.99	0-2-2 5.16	1-1-2 5.83	2-1-1 3.44	1-0-1 2.66	2-0-0 3.18	0-2-0 1.99	0-1-3 4.99	0-2-0 2.77	—	1-1-0 2.40	1-1-2 4.76
Silkeborg	3-1-0 6.31	1-1-0 3.15	1-0-1 3.00	0-0-2 2.26	2-0-2 6.71	1-2-1 6.63	1-2-1 4.35	2-0-0 2.75	0-1-3 6.52	0-1-1 3.01	—	0-0-2 3.05
Viborg	2-0-0 2.93	0-1-3 6.34	2-2-0 6.16	1-0-3 3.84	2-0-0 3.04	1-1-0 3.30	0-1-1 2.51	1-2-1 5.43	1-1-0 3.24	2-1-1 6.06	2-0-0 2.36	—

Points vs. Goals Scored, Allowed, and Differential

Points plotted against goals scored, allowed, and differential. Use the buttons to switch views; hover a team for exact values. The table gives each fit's R² and slope (the change in points per 10 goals).

Scoreline Distribution

Percentage of games ending with each combination of team-goals (rows) and opponent-goals (columns). The diagonal shows draws; cells below the diagonal are wins from the row team's perspective, cells above are losses. Marginal totals on the right and bottom show how often each goal count occurred regardless of opponent. Use the picker to switch between the league-wide view and any individual team.

View:

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.77%	8.85%	5.99%	1.82%	1.30%	0.26%	25.00%
1	8.85%	13.54%	8.07%	4.69%	0.52%	1.04%	36.72%
2	5.99%	8.07%	4.17%	1.82%	0.78%	0.26%	21.09%
3	1.82%	4.69%	1.82%	4.17%	0.26%	—	12.76%
4	1.30%	0.52%	0.78%	0.26%	—	—	2.86%
5+	0.26%	1.04%	0.26%	—	—	—	1.56%
Total	25.00%	36.72%	21.09%	12.76%	2.86%	1.56%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.37	1.37	+0.00
SD	1.18	1.18	1.67
CV	0.86	0.86	—
Max	7	7	+7
Min	0	0	-7

Games Played: 192

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.06	1.41	-0.34
SD	1.05	1.27	1.66
CV	0.98	0.90	—
Max	4	5	+4
Min	0	0	-4

Games Played: 32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.25%	15.62%	3.12%	—	—	—	25.00%
1	18.75%	15.62%	3.12%	—	—	—	37.50%
2	6.25%	6.25%	3.12%	3.12%	—	—	18.75%
3	3.12%	9.38%	—	3.12%	3.12%	—	18.75%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	34.38%	46.88%	9.38%	6.25%	3.12%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.31	0.97	+0.34
SD	1.06	1.00	1.21
CV	0.81	1.03	—
Max	3	4	+3
Min	0	0	-2

Games Played: 32

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.50	1.62	-0.12
SD	1.34	1.18	1.81
CV	0.90	0.73	—
Max	5	4	+4
Min	0	0	-4

Games Played: 32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.12%	9.38%	—	—	—	—	12.50%
1	9.38%	12.50%	6.25%	6.25%	—	—	34.38%
2	6.25%	12.50%	—	3.12%	3.12%	—	25.00%
3	9.38%	6.25%	—	—	—	—	15.62%
4	—	6.25%	—	3.12%	—	—	9.38%
5+	3.12%	—	—	—	—	—	3.12%
Total	31.25%	46.88%	6.25%	12.50%	3.12%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.91	1.09	+0.81
SD	1.49	1.09	1.93
CV	0.78	1.00	—
Max	7	4	+7
Min	0	0	-2

Games Played: 32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.38%	9.38%	12.50%	3.12%	6.25%	—	40.62%
1	9.38%	3.12%	15.62%	3.12%	3.12%	—	34.38%
2	—	6.25%	3.12%	—	—	3.12%	12.50%
3	—	—	3.12%	6.25%	—	—	9.38%
4	—	—	—	—	—	—	—
5+	—	3.12%	—	—	—	—	3.12%
Total	18.75%	21.88%	34.38%	12.50%	9.38%	3.12%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.03	1.81	-0.78
SD	1.20	1.33	1.70
CV	1.17	0.73	—
Max	5	5	+4
Min	0	0	-4

Games Played: 32

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

Summary Statistics

	Scored	Allowed	Difference
Mean	0.94	1.53	-0.59
SD	1.01	0.98	1.39
CV	1.08	0.64	—
Max	3	4	+2
Min	0	0	-4

Games Played: 32

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.66	1.22	+0.44
SD	1.33	1.10	1.58
CV	0.81	0.90	—
Max	5	3	+4
Min	0	0	-2

Games Played: 32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.38%	9.38%	3.12%	—	—	—	21.88%
1	3.12%	21.88%	6.25%	—	—	3.12%	34.38%
2	9.38%	9.38%	—	—	—	—	18.75%
3	—	12.50%	6.25%	—	—	—	18.75%
4	—	—	3.12%	—	—	—	3.12%
5+	—	3.12%	—	—	—	—	3.12%
Total	21.88%	56.25%	18.75%	—	—	3.12%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.56	1.09	+0.47
SD	1.29	0.96	1.52
CV	0.83	0.88	—
Max	5	5	+4
Min	0	0	-4

Games Played: 32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.25%	3.12%	6.25%	—	—	3.12%	18.75%
1	6.25%	15.62%	6.25%	—	—	3.12%	31.25%
2	6.25%	15.62%	9.38%	—	6.25%	—	37.50%
3	—	3.12%	3.12%	3.12%	—	—	9.38%
4	3.12%	—	—	—	—	—	3.12%
5+	—	—	—	—	—	—	—
Total	21.88%	37.50%	25.00%	3.12%	6.25%	6.25%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.47	1.59	-0.12
SD	1.02	1.58	1.96
CV	0.69	0.99	—
Max	4	7	+4
Min	0	0	-7

Games Played: 32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.38%	—	9.38%	—	—	—	18.75%
1	18.75%	12.50%	3.12%	15.62%	—	3.12%	53.12%
2	3.12%	—	9.38%	3.12%	—	—	15.62%
3	—	3.12%	3.12%	3.12%	—	—	9.38%
4	3.12%	—	—	—	—	—	3.12%
5+	—	—	—	—	—	—	—
Total	34.38%	15.62%	25.00%	21.88%	—	3.12%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.25	1.47	-0.22
SD	0.98	1.34	1.60
CV	0.79	0.91	—
Max	4	5	+4
Min	0	0	-4

Games Played: 32

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.38	1.53	-0.16
SD	1.01	1.05	1.39
CV	0.73	0.68	—
Max	3	3	+2
Min	0	0	-3

Games Played: 32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.38%	9.38%	—	3.12%	3.12%	—	25.00%
1	3.12%	15.62%	9.38%	3.12%	—	—	31.25%
2	9.38%	15.62%	3.12%	—	—	—	28.12%
3	6.25%	6.25%	—	—	—	—	12.50%
4	—	—	3.12%	—	—	—	3.12%
5+	—	—	—	—	—	—	—
Total	28.12%	46.88%	15.62%	6.25%	3.12%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.38	1.09	+0.28
SD	1.10	1.00	1.61
CV	0.80	0.91	—
Max	4	4	+3
Min	0	0	-4

Games Played: 32

Home-Field Advantage Edge

The simulation applies the same home-field boost to every game across the league, so the per-game home win probabilities bake in the model's idea of HFA. For each team, we sum expected points at home and compare to actual home points, and the same on the road. The bar shows (home points above expected) minus (away points above expected). A tall positive bar means the team's home/road split exceeded what the model predicted — a real fortress effect. A tall negative bar means the reverse: they played worse at home or better on the road than expected.

Top Overachievers & Disappointments

Teams that most beat — or most fell short of — their simulated point projections. A positive vsSim means the team accumulated more points than the model expected on average; a negative one means fewer.

Biggest Overachievers

#	Team	Actual	Sim	vsSim
1	Odense	47	40.54	+6.46
2	Aarhus GF	51	46.83	+4.17
3	Midtjylland	49	45.67	+3.33
4	Brondby	44	41.92	+2.08
5	Aalborg	27	26.59	+0.41

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Horsens	28	35.29	-7.29
2	Silkeborg	41	44.54	-3.54
3	Nordsjaelland	55	57.30	-2.30
4	Randers	41	42.91	-1.91
5	FC Copenhagen	59	60.90	-1.90

Top Streaks

Ranked by model unlikelihood — the product of pregame W/D/L probabilities over the games in each team's streak. A short streak by a poor team can outrank a longer one by a strong team since the poor team's per-game probabilities were lower going in. Unbeaten counts W or D consecutively; Winless counts L or D consecutively.

Most Unlikely Winning Streaks

#	Team	Games	Dates	Probability
1	FC Copenhagen	9	Oct 29 – Apr 2	1 in 309
2	Randers	5	Aug 5 – Sep 4	1 in 224
3	Nordsjaelland	4	Jul 18 – Aug 6	1 in 84
4	Aarhus GF	3	Aug 7 – Aug 20	1 in 42
5	Lyngby	2	Mar 5 – Mar 12	1 in 24

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Aalborg	6	Oct 24 – Feb 26	1 in 159
2	Randers	5	Apr 30 – May 30	1 in 124
3	Lyngby	4	Aug 15 – Sep 4	1 in 31
4	Horsens	4	Feb 19 – Mar 12	1 in 29
5	Brondby	3	Jul 24 – Aug 7	1 in 15

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Odense	10	Sep 10 – Feb 19	1 in 212
2	Randers	10	Jul 15 – Sep 18	1 in 104
3	Brondby	9	Sep 4 – Nov 6	1 in 70
4	Viborg	11	Aug 28 – Nov 13	1 in 58
5	Nordsjaelland	9	Oct 3 – Feb 24	1 in 34

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Lyngby	16	Jul 17 – Nov 6	1 in 199
2	Silkeborg	8	Mar 12 – May 7	1 in 51
3	Midtjylland	5	Feb 27 – Mar 31	1 in 30
4	Randers	8	Oct 3 – Feb 19	1 in 25
5	Aalborg	9	Oct 24 – Mar 19	1 in 20

Finish Position Heatmap

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

Team	1	2	3	4	5	6	7	8	9	10	11	12
Nordsjaelland	5.16%	8.90%	10.42%	10.90%	11.59%	10.40%	10.45%	8.31%	8.11%	6.84%	5.33%	3.59%
FC Copenhagen	43.40%	21.54%	12.53%	8.31%	5.23%	3.30%	2.21%	1.47%	0.88%	0.63%	0.36%	0.14%
Viborg	6.77%	10.17%	11.73%	11.82%	11.47%	9.95%	9.38%	8.31%	6.92%	5.73%	4.80%	2.95%
Aarhus GF	1.79%	3.91%	5.38%	6.64%	8.29%	9.51%	10.41%	10.82%	10.82%	11.30%	10.87%	10.26%
Randers	2.67%	5.65%	7.58%	9.30%	10.44%	10.57%	10.05%	10.76%	9.81%	9.04%	7.93%	6.20%
Brondby	2.87%	5.17%	6.83%	9.11%	9.24%	10.55%	10.47%	10.26%	10.24%	9.52%	9.00%	6.74%
Silkeborg	10.51%	14.04%	14.72%	13.44%	11.07%	9.35%	7.63%	6.37%	5.10%	3.83%	2.49%	1.45%
Midtjylland	22.95%	21.25%	16.26%	11.45%	8.50%	6.04%	4.81%	3.44%	2.38%	1.48%	1.00%	0.44%
Odense	0.80%	2.02%	3.37%	4.26%	5.71%	7.10%	8.92%	9.90%	12.08%	13.45%	14.90%	17.49%
Horsens	1.68%	3.79%	5.35%	6.54%	7.96%	9.68%	9.91%	11.16%	11.88%	11.43%	10.80%	9.82%
Lyngby	0.32%	1.01%	1.93%	2.91%	3.72%	5.44%	7.14%	8.70%	10.79%	13.58%	17.95%	26.51%
Aalborg	1.08%	2.55%	3.90%	5.32%	6.78%	8.11%	8.62%	10.50%	10.99%	13.17%	14.57%	14.41%

Team	1	2	3	4	5	6	7	8	9	10	11	12
FC Copenhagen	66.28%	28.48%	4.57%	0.57%	0.10%	—	—	—	—	—	—	—
Nordsjaelland	30.28%	51.58%	14.22%	3.36%	0.50%	0.06%	—	—	—	—	—	—
Aarhus GF	0.48%	4.49%	20.41%	40.99%	23.04%	10.59%	—	—	—	—	—	—
Viborg	2.81%	14.18%	50.12%	22.03%	8.64%	2.22%	—	—	—	—	—	—
Brondby	0.04%	0.41%	4.65%	14.06%	29.92%	50.92%	—	—	—	—	—	—
Randers	0.11%	0.86%	6.03%	18.99%	37.80%	36.21%	—	—	—	—	—	—
Midtjylland	—	—	—	—	—	—	48.26%	34.39%	13.70%	3.35%	0.29%	0.01%
Odense	—	—	—	—	—	—	10.62%	22.81%	46.10%	17.99%	2.23%	0.25%
Silkeborg	—	—	—	—	—	—	39.60%	36.42%	18.79%	4.67%	0.51%	0.01%
Lyngby	—	—	—	—	—	—	0.01%	0.34%	1.78%	11.01%	48.24%	38.62%
Horsens	—	—	—	—	—	—	1.48%	5.86%	18.61%	55.89%	15.35%	2.81%
Aalborg	—	—	—	—	—	—	0.03%	0.18%	1.02%	7.09%	33.38%	58.30%

Points Required Per Position

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

Points Totals in Context

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

First Phase

Second Phase

First Phase

Second Phase

First Phase

Second Phase

First Phase

Second Phase

Season Trends

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

Season metrics are available for completed seasons.

Elo Progression Through The Playoffs

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

Stochastic Promotion/Relegation Outcomes

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

Team	Same level	Lost relegation playoff
FC Copenhagen	99.86%	0.14%
Midtjylland	99.05%	0.95%
Silkeborg	96.39%	3.61%
Viborg	94.88%	5.12%
Nordsjaelland	94.43%	5.57%
Brondby	87.06%	12.94%
Randers	85.08%	14.92%
Aarhus GF	82.00%	18.00%
Horsens	74.91%	25.09%
Aalborg	66.59%	33.41%
Odense	66.56%	33.44%
Lyngby	53.19%	46.81%

Actual Promotion/Relegation Outcomes

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

Team	Same level	Lost relegation playoff
Midtjylland	99.70%	0.30%
Silkeborg	99.48%	0.52%
Odense	97.52%	2.48%
Horsens	81.84%	18.16%
Lyngby	13.14%	86.86%
Aalborg	8.32%	91.68%

Filter by Team:

Overall Game Log

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

Date	Opponent	Score	Pre Elo	Opp Elo	Win %	Tie %	Loss %	Elo Δ	Points
2022-07-15	Randers	D 1-1	1707	1608	52.94%	26.93%	20.13%	-1.2	1
2022-07-15	@ Midtjylland	D 1-1	1608	1707	20.13%	26.93%	52.94%	+1.2	1
2022-07-17	Aalborg	W 2-1	1631	1614	41.97%	29.72%	28.31%	+5.2	3
2022-07-17	@ Viborg	L 1-2	1614	1631	28.31%	29.72%	41.97%	-5.2	0
2022-07-17	Aarhus GF	W 1-0	1633	1579	47.10%	28.72%	24.18%	+4.9	3
2022-07-17	@ Brondby	L 0-1	1579	1633	24.18%	28.72%	47.10%	-4.9	0
2022-07-17	Horsens	L 0-1	1733	1619	54.81%	26.21%	18.98%	-9.0	0
2022-07-17	@ FC Copenhagen	W 1-0	1619	1733	18.98%	26.21%	54.81%	+9.0	3
2022-07-17	Silkeborg	D 2-2	1615	1669	31.99%	30.13%	37.88%	+0.1	1
2022-07-17	@ Lyngby	D 2-2	1669	1615	37.88%	30.13%	31.99%	-0.2	1
2022-07-18	Nordsjaelland	L 0-2	1599	1591	40.64%	29.89%	29.47%	-13.6	0
2022-07-18	@ Odense	W 2-0	1591	1599	29.47%	29.89%	40.64%	+13.6	3
2022-07-22	Silkeborg	L 1-3	1706	1668	44.81%	29.24%	25.96%	-12.7	1
2022-07-22	@ Midtjylland	W 3-1	1668	1706	25.96%	29.24%	44.81%	+12.7	4
2022-07-24	FC Copenhagen	L 1-3	1608	1724	24.66%	28.87%	46.47%	-8.1	0
2022-07-24	@ Aalborg	W 3-1	1724	1608	46.47%	28.87%	24.66%	+8.1	3
2022-07-24	Nordsjaelland	L 1-3	1638	1605	44.24%	29.35%	26.42%	-12.5	3
2022-07-24	@ Brondby	W 3-1	1605	1638	26.42%	29.35%	44.24%	+12.5	6
2022-07-24	Odense	D 2-2	1609	1585	42.92%	29.58%	27.50%	-0.4	2
2022-07-24	@ Randers	D 2-2	1585	1609	27.50%	29.58%	42.92%	+0.4	1
2022-07-24	Viborg	W 3-1	1574	1636	30.88%	30.05%	39.07%	+11.4	3
2022-07-24	@ Aarhus GF	L 1-3	1636	1574	39.07%	30.05%	30.88%	-11.4	3
2022-07-25	Lyngby	W 1-0	1628	1615	41.36%	29.81%	28.83%	+5.6	6
2022-07-25	@ Horsens	L 0-1	1615	1628	28.83%	29.81%	41.36%	-5.6	1
2022-07-29	Midtjylland	L 1-5	1586	1694	25.46%	29.11%	45.44%	-15.2	1
2022-07-29	@ Odense	W 5-1	1694	1586	45.44%	29.11%	25.46%	+15.2	4
2022-07-31	Brondby	W 2-0	1681	1626	47.20%	28.69%	24.10%	+9.1	7
2022-07-31	@ Silkeborg	L 0-2	1626	1681	24.10%	28.69%	47.20%	-9.2	3
2022-07-31	FC Copenhagen	W 4-2	1625	1732	25.49%	29.11%	45.39%	+11.4	6
2022-07-31	@ Viborg	L 2-4	1732	1625	45.39%	29.11%	25.49%	-11.4	3
2022-07-31	Horsens	D 0-0	1600	1633	34.86%	30.22%	34.91%	+0.0	1
2022-07-31	@ Aalborg	D 0-0	1633	1600	34.91%	30.22%	34.86%	+0.0	7
2022-07-31	Randers	D 0-0	1585	1609	36.26%	30.20%	33.54%	-0.1	4
2022-07-31	@ Aarhus GF	D 0-0	1609	1585	33.54%	30.20%	36.26%	+0.1	3
2022-08-01	Lyngby	W 2-1	1617	1609	40.68%	29.89%	29.43%	+5.4	9
2022-08-01	@ Nordsjaelland	L 1-2	1609	1617	29.43%	29.89%	40.68%	-5.4	1
2022-08-05	Horsens	W 1-0	1609	1633	36.06%	30.21%	33.73%	+6.3	6
2022-08-05	@ Randers	L 0-1	1633	1609	33.73%	30.21%	36.06%	-6.3	7
2022-08-05	Midtjylland	D 3-3	1604	1709	25.82%	29.20%	44.97%	+0.4	2
2022-08-05	@ Lyngby	D 3-3	1709	1604	44.97%	29.20%	25.82%	-0.4	5
2022-08-06	Viborg	W 1-0	1623	1636	37.69%	30.15%	32.17%	+6.1	12
2022-08-06	@ Nordsjaelland	L 0-1	1636	1623	32.17%	30.15%	37.69%	-6.1	6
2022-08-07	Aarhus GF	L 1-2	1570	1585	37.47%	30.16%	32.37%	-6.4	1
2022-08-07	@ Odense	W 2-1	1585	1570	32.37%	30.16%	37.47%	+6.4	7
2022-08-07	Brondby	W 4-1	1721	1617	53.52%	26.71%	19.77%	+9.3	6
2022-08-07	@ FC Copenhagen	L 1-4	1617	1721	19.77%	26.71%	53.52%	-9.3	3
2022-08-08	Aalborg	W 3-1	1690	1600	51.71%	27.36%	20.93%	+7.0	10
2022-08-08	@ Silkeborg	L 1-3	1600	1690	20.93%	27.36%	51.71%	-7.0	1
2022-08-12	Midtjylland	D 3-3	1627	1708	28.50%	29.75%	41.75%	+0.3	8
2022-08-12	@ Horsens	D 3-3	1708	1627	41.75%	29.75%	28.50%	-0.3	6
2022-08-12	Randers	L 1-3	1730	1615	54.88%	26.18%	18.93%	-14.8	6
2022-08-12	@ FC Copenhagen	W 3-1	1615	1730	18.93%	26.18%	54.88%	+14.8	9
2022-08-14	Nordsjaelland	D 0-0	1593	1629	34.53%	30.22%	35.25%	+0.0	2
2022-08-14	@ Aalborg	D 0-0	1629	1593	35.25%	30.22%	34.53%	-0.0	13
2022-08-14	Odense	W 2-0	1607	1564	45.57%	29.08%	25.35%	+9.6	6
2022-08-14	@ Brondby	L 0-2	1564	1607	25.35%	29.08%	45.57%	-9.5	1
2022-08-14	Silkeborg	W 2-0	1630	1697	30.20%	29.98%	39.82%	+13.4	9
2022-08-14	@ Viborg	L 0-2	1697	1630	39.82%	29.98%	30.20%	-13.4	10
2022-08-15	Lyngby	W 1-0	1592	1604	37.75%	30.14%	32.11%	+6.1	10
2022-08-15	@ Aarhus GF	L 0-1	1604	1592	32.11%	30.14%	37.75%	-6.1	2
2022-08-19	FC Copenhagen	L 0-3	1598	1715	24.53%	28.83%	46.64%	-13.5	2
2022-08-19	@ Lyngby	W 3-0	1715	1598	46.64%	28.83%	24.53%	+13.5	9
2022-08-20	Aarhus GF	L 0-2	1708	1598	54.28%	26.42%	19.30%	-16.9	6
2022-08-20	@ Midtjylland	W 2-0	1598	1708	19.30%	26.42%	54.28%	+16.9	13
2022-08-21	Brondby	W 2-1	1593	1617	36.25%	30.20%	33.55%	+5.9	5
2022-08-21	@ Aalborg	L 1-2	1617	1593	33.55%	30.20%	36.25%	-5.9	6
2022-08-21	Silkeborg	L 0-2	1629	1684	31.80%	30.12%	38.08%	-11.4	13
2022-08-21	@ Nordsjaelland	W 2-0	1684	1629	38.08%	30.12%	31.80%	+11.4	13
2022-08-21	Viborg	W 1-0	1630	1643	37.67%	30.15%	32.19%	+6.1	12
2022-08-21	@ Randers	L 0-1	1643	1630	32.19%	30.15%	37.67%	-6.1	9
2022-08-22	Horsens	W 1-0	1554	1627	29.50%	29.90%	40.60%	+7.2	4
2022-08-22	@ Odense	L 0-1	1627	1554	40.60%	29.90%	29.50%	-7.2	8
2022-08-26	Aarhus GF	W 2-1	1620	1615	40.36%	29.93%	29.72%	+5.4	11
2022-08-26	@ Horsens	L 1-2	1615	1620	29.72%	29.93%	40.36%	-5.4	13
2022-08-28	Aalborg	W 1-0	1636	1599	44.65%	29.27%	26.08%	+5.2	15
2022-08-28	@ Randers	L 0-1	1599	1636	26.08%	29.27%	44.65%	-5.2	5
2022-08-28	FC Copenhagen	W 3-1	1617	1729	25.09%	29.00%	45.91%	+12.9	16
2022-08-28	@ Nordsjaelland	L 1-3	1729	1617	45.91%	29.00%	25.09%	-12.9	9
2022-08-28	Lyngby	W 2-1	1637	1585	46.78%	28.80%	24.42%	+4.6	12
2022-08-28	@ Viborg	L 1-2	1585	1637	24.42%	28.80%	46.78%	-4.6	2
2022-08-28	Odense	L 1-2	1695	1562	57.17%	25.23%	17.61%	-8.8	13
2022-08-28	@ Silkeborg	W 2-1	1562	1695	17.61%	25.23%	57.17%	+8.8	7
2022-08-29	Midtjylland	L 0-2	1611	1691	28.62%	29.77%	41.61%	-10.5	6
2022-08-29	@ Brondby	W 2-0	1691	1611	41.61%	29.77%	28.62%	+10.5	9
2022-09-02	Silkeborg	W 1-0	1716	1686	43.68%	29.45%	26.87%	+5.3	12
2022-09-02	@ FC Copenhagen	L 0-1	1686	1716	26.87%	29.45%	43.68%	-5.3	13
2022-09-04	Aalborg	L 0-2	1702	1594	53.92%	26.56%	19.52%	-16.8	9
2022-09-04	@ Midtjylland	W 2-0	1594	1702	19.52%	26.56%	53.92%	+16.8	8
2022-09-04	Brondby	L 0-2	1626	1600	43.10%	29.55%	27.35%	-14.2	11
2022-09-04	@ Horsens	W 2-0	1600	1626	27.35%	29.55%	43.10%	+14.2	9
2022-09-04	Randers	L 0-2	1580	1641	31.05%	30.06%	38.89%	-11.2	2
2022-09-04	@ Lyngby	W 2-0	1641	1580	38.89%	30.06%	31.05%	+11.2	18
2022-09-04	Viborg	L 1-2	1570	1642	29.70%	29.92%	40.38%	-5.4	7
2022-09-04	@ Odense	W 2-1	1642	1570	40.38%	29.92%	29.70%	+5.4	15
2022-09-05	Nordsjaelland	L 2-3	1609	1630	36.58%	30.19%	33.22%	-6.0	13
2022-09-05	@ Aarhus GF	W 3-2	1630	1609	33.22%	30.19%	36.58%	+6.0	19
2022-09-10	FC Copenhagen	W 2-1	1565	1721	20.88%	27.33%	51.79%	+8.2	10
2022-09-10	@ Odense	L 1-2	1721	1565	51.79%	27.33%	20.88%	-8.2	12
2022-09-11	Aarhus GF	W 1-0	1681	1603	50.17%	27.86%	21.97%	+4.5	16
2022-09-11	@ Silkeborg	L 0-1	1603	1681	21.97%	27.86%	50.17%	-4.5	13
2022-09-11	Lyngby	D 1-1	1611	1569	45.39%	29.12%	25.50%	-0.7	9
2022-09-11	@ Aalborg	D 1-1	1569	1611	25.50%	29.12%	45.39%	+0.7	3
2022-09-11	Midtjylland	D 1-1	1636	1685	32.69%	30.17%	37.13%	+0.2	20
2022-09-11	@ Nordsjaelland	D 1-1	1685	1636	37.13%	30.17%	32.69%	-0.2	10
2022-09-11	Randers	D 2-2	1615	1652	34.19%	30.22%	35.60%	+0.0	10
2022-09-11	@ Brondby	D 2-2	1652	1615	35.60%	30.22%	34.19%	-0.0	19
2022-09-12	Horsens	W 2-1	1647	1611	44.55%	29.29%	26.16%	+4.9	18
2022-09-12	@ Viborg	L 1-2	1611	1647	26.16%	29.29%	44.55%	-4.9	11
2022-09-16	Nordsjaelland	W 1-0	1606	1636	35.31%	30.22%	34.47%	+6.4	14
2022-09-16	@ Horsens	L 0-1	1636	1606	34.47%	30.22%	35.31%	-6.4	20
2022-09-17	Aalborg	W 3-1	1599	1610	37.94%	30.13%	31.93%	+9.9	16
2022-09-17	@ Aarhus GF	L 1-3	1610	1599	31.93%	30.13%	37.94%	-9.9	9
2022-09-18	Brondby	D 0-0	1652	1615	44.79%	29.24%	25.97%	-0.8	19
2022-09-18	@ Viborg	D 0-0	1615	1652	25.97%	29.24%	44.79%	+0.8	11
2022-09-18	FC Copenhagen	W 2-1	1685	1713	35.51%	30.22%	34.27%	+6.0	13
2022-09-18	@ Midtjylland	L 1-2	1713	1685	34.27%	30.22%	35.51%	-6.0	12
2022-09-18	Odense	L 0-2	1570	1573	39.10%	30.05%	30.85%	-13.2	3
2022-09-18	@ Lyngby	W 2-0	1573	1570	30.85%	30.05%	39.10%	+13.2	13
2022-09-18	Silkeborg	W 3-2	1652	1686	34.81%	30.22%	34.96%	+5.8	22
2022-09-18	@ Randers	L 2-3	1686	1652	34.96%	30.22%	34.81%	-5.8	16
2022-09-30	Odense	D 1-1	1600	1586	41.55%	29.78%	28.67%	-0.5	10
2022-09-30	@ Aalborg	D 1-1	1586	1600	28.67%	29.78%	41.55%	+0.5	14
2022-10-02	Aarhus GF	W 1-0	1707	1609	52.79%	26.98%	20.23%	+4.1	15
2022-10-02	@ FC Copenhagen	L 0-1	1609	1707	20.23%	26.98%	52.79%	-4.1	16
2022-10-02	Horsens	W 2-1	1680	1613	48.73%	28.29%	22.98%	+4.4	19
2022-10-02	@ Silkeborg	L 1-2	1613	1680	22.98%	28.29%	48.73%	-4.4	14
2022-10-02	Lyngby	D 3-3	1615	1557	47.64%	28.58%	23.77%	-0.5	12
2022-10-02	@ Brondby	D 3-3	1557	1615	23.77%	28.58%	47.64%	+0.5	4
2022-10-02	Viborg	D 1-1	1691	1651	45.01%	29.19%	25.79%	-0.7	14
2022-10-02	@ Midtjylland	D 1-1	1651	1691	25.79%	29.19%	45.01%	+0.7	20
2022-10-03	Randers	W 3-1	1630	1658	35.57%	30.22%	34.21%	+10.4	23
2022-10-03	@ Nordsjaelland	L 1-3	1658	1630	34.21%	30.22%	35.57%	-10.4	22
2022-10-07	Viborg	D 1-1	1557	1652	26.89%	29.45%	43.66%	+0.6	5
2022-10-07	@ Lyngby	D 1-1	1652	1557	43.66%	29.45%	26.89%	-0.6	21
2022-10-08	Nordsjaelland	D 1-1	1711	1640	49.23%	28.14%	22.62%	-1.0	16
2022-10-08	@ FC Copenhagen	D 1-1	1640	1711	22.62%	28.14%	49.23%	+1.0	24
2022-10-09	Brondby	L 2-3	1648	1615	44.15%	29.36%	26.49%	-6.9	22
2022-10-09	@ Randers	W 3-2	1615	1648	26.49%	29.36%	44.15%	+6.9	15
2022-10-09	Midtjylland	L 0-1	1605	1690	28.00%	29.67%	42.33%	-5.5	16
2022-10-09	@ Aarhus GF	W 1-0	1690	1605	42.33%	29.67%	28.00%	+5.5	17
2022-10-09	Silkeborg	D 1-1	1587	1684	26.61%	29.39%	44.00%	+0.6	15
2022-10-09	@ Odense	D 1-1	1684	1587	44.00%	29.39%	26.61%	-0.6	20
2022-10-10	Aalborg	D 0-0	1609	1600	40.78%	29.88%	29.34%	-0.4	15
2022-10-10	@ Horsens	D 0-0	1600	1609	29.34%	29.88%	40.78%	+0.4	11
2022-10-14	Aalborg	L 0-2	1558	1600	33.49%	30.20%	36.31%	-11.8	5
2022-10-14	@ Lyngby	W 2-0	1600	1558	36.31%	30.20%	33.49%	+11.8	14
2022-10-16	Aarhus GF	D 1-1	1641	1599	45.43%	29.11%	25.46%	-0.7	25
2022-10-16	@ Nordsjaelland	D 1-1	1599	1641	25.46%	29.11%	45.43%	+0.7	17
2022-10-16	FC Copenhagen	D 1-1	1622	1710	27.62%	29.60%	42.77%	+0.5	16
2022-10-16	@ Brondby	D 1-1	1710	1622	42.77%	29.60%	27.62%	-0.5	17
2022-10-16	Horsens	W 2-1	1695	1608	51.38%	27.47%	21.15%	+4.1	20
2022-10-16	@ Midtjylland	L 1-2	1608	1695	21.15%	27.47%	51.38%	-4.1	15
2022-10-16	Odense	D 0-0	1651	1587	48.34%	28.40%	23.26%	-1.0	22
2022-10-16	@ Viborg	D 0-0	1587	1651	23.26%	28.40%	48.34%	+1.0	16
2022-10-17	Randers	D 3-3	1684	1641	45.51%	29.09%	25.40%	-0.4	21
2022-10-17	@ Silkeborg	D 3-3	1641	1684	25.40%	29.09%	45.51%	+0.5	23
2022-10-21	Lyngby	W 3-1	1588	1546	45.47%	29.10%	25.43%	+8.3	19
2022-10-21	@ Odense	L 1-3	1546	1588	25.43%	29.10%	45.47%	-8.3	5
2022-10-22	Midtjylland	D 1-1	1710	1699	41.02%	29.85%	29.14%	-0.4	18
2022-10-22	@ FC Copenhagen	D 1-1	1699	1710	29.14%	29.85%	41.02%	+0.4	21
2022-10-23	Brondby	D 2-2	1600	1622	36.38%	30.20%	33.42%	-0.1	18
2022-10-23	@ Aarhus GF	D 2-2	1622	1600	33.42%	30.20%	36.38%	+0.1	17
2022-10-23	Nordsjaelland	L 0-2	1641	1641	39.66%	30.00%	30.34%	-13.3	23
2022-10-23	@ Randers	W 2-0	1641	1641	30.34%	30.00%	39.66%	+13.3	28
2022-10-23	Silkeborg	W 3-2	1604	1683	28.74%	29.79%	41.47%	+6.5	18
2022-10-23	@ Horsens	L 2-3	1683	1604	41.47%	29.79%	28.74%	-6.5	21
2022-10-24	Viborg	L 1-3	1612	1650	34.12%	30.22%	35.66%	-10.4	14
2022-10-24	@ Aalborg	W 3-1	1650	1612	35.66%	30.22%	34.12%	+10.4	25
2022-10-28	Horsens	W 2-0	1654	1611	45.59%	29.07%	25.34%	+9.5	31
2022-10-28	@ Nordsjaelland	L 0-2	1611	1654	25.34%	29.07%	45.59%	-9.5	18
2022-10-29	FC Copenhagen	L 0-2	1628	1709	28.47%	29.75%	41.78%	-10.5	23
2022-10-29	@ Randers	W 2-0	1709	1628	41.78%	29.75%	28.47%	+10.5	21
2022-10-30	Aalborg	W 3-2	1622	1602	42.43%	29.65%	27.91%	+4.9	20
2022-10-30	@ Brondby	L 2-3	1602	1622	27.91%	29.65%	42.43%	-4.9	14
2022-10-30	Aarhus GF	L 0-1	1538	1600	30.88%	30.05%	39.07%	-5.9	5
2022-10-30	@ Lyngby	W 1-0	1600	1538	39.07%	30.05%	30.88%	+5.9	21
2022-10-30	Viborg	L 1-2	1677	1661	41.79%	29.75%	28.46%	-6.9	21
2022-10-30	@ Silkeborg	W 2-1	1661	1677	28.46%	29.75%	41.79%	+6.9	28
2022-10-31	Odense	L 1-2	1700	1597	53.39%	26.76%	19.85%	-8.4	21
2022-10-31	@ Midtjylland	W 2-1	1597	1700	19.85%	26.76%	53.39%	+8.4	22
2022-11-04	Randers	W 5-1	1601	1617	37.25%	30.17%	32.59%	+18.3	21
2022-11-04	@ Horsens	L 1-5	1617	1601	32.59%	30.17%	37.25%	-18.4	23
2022-11-06	Aarhus GF	D 1-1	1668	1606	48.10%	28.46%	23.44%	-0.9	29
2022-11-06	@ Viborg	D 1-1	1606	1668	23.44%	28.46%	48.10%	+0.9	22
2022-11-06	Brondby	D 1-1	1605	1627	36.44%	30.20%	33.36%	-0.1	23
2022-11-06	@ Odense	D 1-1	1627	1605	33.36%	30.20%	36.44%	+0.1	21
2022-11-06	Lyngby	W 3-0	1720	1532	63.54%	22.14%	14.32%	+7.8	24
2022-11-06	@ FC Copenhagen	L 0-3	1532	1720	14.32%	22.14%	63.54%	-7.8	5
2022-11-06	Silkeborg	L 1-2	1597	1670	29.53%	29.90%	40.57%	-5.4	14
2022-11-06	@ Aalborg	W 2-1	1670	1597	40.57%	29.90%	29.53%	+5.4	24
2022-11-07	Nordsjaelland	D 0-0	1692	1664	43.48%	29.48%	27.04%	-0.6	22
2022-11-07	@ Midtjylland	D 0-0	1664	1692	27.04%	29.48%	43.48%	+0.6	32
2022-11-12	Lyngby	L 0-2	1675	1524	59.27%	24.27%	16.46%	-18.1	24
2022-11-12	@ Silkeborg	W 2-0	1524	1675	16.46%	24.27%	59.27%	+18.1	8
2022-11-13	Aalborg	W 5-1	1664	1592	49.47%	28.07%	22.45%	+13.6	35
2022-11-13	@ Nordsjaelland	L 1-5	1592	1664	22.45%	28.07%	49.47%	-13.6	14
2022-11-13	FC Copenhagen	L 0-2	1606	1728	24.11%	28.70%	47.19%	-9.2	22
2022-11-13	@ Aarhus GF	W 2-0	1728	1606	47.19%	28.70%	24.11%	+9.2	27
2022-11-13	Midtjylland	D 0-0	1599	1691	27.25%	29.53%	43.22%	+0.6	24
2022-11-13	@ Randers	D 0-0	1691	1599	43.22%	29.53%	27.25%	-0.6	23
2022-11-13	Odense	D 3-3	1619	1605	41.59%	29.78%	28.63%	-0.3	22
2022-11-13	@ Horsens	D 3-3	1605	1619	28.63%	29.78%	41.59%	+0.3	24
2022-11-13	Viborg	L 0-2	1627	1667	33.92%	30.21%	35.86%	-11.9	21
2022-11-13	@ Brondby	W 2-0	1667	1627	35.86%	30.21%	33.92%	+11.9	32
2023-02-17	Aarhus GF	L 0-1	1578	1597	36.82%	30.19%	32.99%	-6.7	14
2023-02-17	@ Aalborg	W 1-0	1597	1578	32.99%	30.19%	36.82%	+6.7	25
2023-02-19	FC Copenhagen	L 0-3	1657	1737	28.68%	29.78%	41.54%	-15.3	24
2023-02-19	@ Silkeborg	W 3-0	1737	1657	41.54%	29.78%	28.68%	+15.3	30
2023-02-19	Horsens	W 5-2	1615	1619	39.05%	30.05%	30.90%	+11.8	24
2023-02-19	@ Brondby	L 2-5	1619	1615	30.90%	30.05%	39.05%	-11.8	22
2023-02-19	Nordsjaelland	D 1-1	1542	1678	22.69%	28.17%	49.14%	+1.0	9
2023-02-19	@ Lyngby	D 1-1	1678	1542	49.14%	28.17%	22.69%	-1.0	36
2023-02-19	Randers	D 0-0	1605	1600	40.37%	29.92%	29.71%	-0.4	25
2023-02-19	@ Odense	D 0-0	1600	1605	29.71%	29.92%	40.37%	+0.4	25
2023-02-20	Midtjylland	L 0-4	1679	1690	37.96%	30.13%	31.91%	-24.5	32
2023-02-20	@ Viborg	W 4-0	1690	1679	31.91%	30.13%	37.96%	+24.5	26
2023-02-24	Odense	W 4-2	1677	1605	49.38%	28.10%	22.52%	+6.7	39
2023-02-24	@ Nordsjaelland	L 2-4	1605	1677	22.52%	28.10%	49.38%	-6.7	25
2023-02-26	Aalborg	W 1-0	1752	1571	62.70%	22.57%	14.73%	+2.9	33
2023-02-26	@ FC Copenhagen	L 0-1	1571	1752	14.73%	22.57%	62.70%	-2.9	14
2023-02-26	Lyngby	W 1-0	1600	1543	47.43%	28.64%	23.93%	+4.8	28
2023-02-26	@ Randers	L 0-1	1543	1600	23.93%	28.64%	47.43%	-4.8	9
2023-02-26	Silkeborg	D 1-1	1604	1642	34.20%	30.22%	35.58%	+0.0	26
2023-02-26	@ Aarhus GF	D 1-1	1642	1604	35.58%	30.22%	34.20%	-0.0	25
2023-02-26	Viborg	L 0-3	1607	1654	32.89%	30.18%	36.93%	-17.0	22
2023-02-26	@ Horsens	W 3-0	1654	1607	36.93%	30.18%	32.89%	+17.0	35
2023-02-27	Brondby	L 0-1	1715	1627	51.41%	27.46%	21.13%	-8.6	26
2023-02-27	@ Midtjylland	W 1-0	1627	1715	21.13%	27.46%	51.41%	+8.6	27
2023-03-03	Horsens	W 2-0	1604	1590	41.52%	29.78%	28.70%	+10.6	29
2023-03-03	@ Aarhus GF	L 0-2	1590	1604	28.70%	29.78%	41.52%	-10.5	22
2023-03-05	Brondby	W 1-0	1538	1636	26.59%	29.39%	44.03%	+7.6	12
2023-03-05	@ Lyngby	L 0-1	1636	1538	44.03%	29.39%	26.59%	-7.6	27
2023-03-05	Nordsjaelland	W 2-1	1642	1683	33.61%	30.21%	36.18%	+6.2	28
2023-03-05	@ Silkeborg	L 1-2	1683	1642	36.18%	30.21%	33.61%	-6.2	39
2023-03-05	Odense	W 7-0	1755	1598	59.92%	23.96%	16.12%	+19.7	36
2023-03-05	@ FC Copenhagen	L 0-7	1598	1755	16.12%	23.96%	59.92%	-19.7	25
2023-03-05	Randers	D 2-2	1671	1605	48.65%	28.31%	23.04%	-0.7	36
2023-03-05	@ Viborg	D 2-2	1605	1671	23.04%	28.31%	48.65%	+0.7	29
2023-03-06	Midtjylland	D 0-0	1568	1706	22.50%	28.09%	49.41%	+1.1	15
2023-03-06	@ Aalborg	D 0-0	1706	1568	49.41%	28.09%	22.50%	-1.1	27
2023-03-10	Aalborg	W 2-1	1578	1569	40.85%	29.87%	29.28%	+5.4	28
2023-03-10	@ Odense	L 1-2	1569	1578	29.28%	29.87%	40.85%	-5.4	15
2023-03-12	FC Copenhagen	L 1-4	1580	1775	17.92%	25.46%	56.62%	-8.4	22
2023-03-12	@ Horsens	W 4-1	1775	1580	56.62%	25.46%	17.92%	+8.4	39
2023-03-12	Lyngby	L 1-3	1705	1546	60.22%	23.82%	15.97%	-15.8	27
2023-03-12	@ Midtjylland	W 3-1	1546	1705	15.97%	23.82%	60.22%	+15.9	15
2023-03-12	Nordsjaelland	D 1-1	1671	1677	38.63%	30.08%	31.28%	-0.3	37
2023-03-12	@ Viborg	D 1-1	1677	1671	31.28%	30.08%	38.63%	+0.2	40
2023-03-12	Silkeborg	W 2-1	1628	1648	36.77%	30.19%	33.05%	+5.9	30
2023-03-12	@ Brondby	L 1-2	1648	1628	33.05%	30.19%	36.77%	-5.9	28
2023-03-13	Aarhus GF	L 1-2	1606	1615	38.29%	30.11%	31.60%	-6.5	29
2023-03-13	@ Randers	W 2-1	1615	1606	31.60%	30.11%	38.29%	+6.5	32
2023-03-19	Brondby	W 2-1	1677	1634	45.60%	29.07%	25.33%	+4.8	43
2023-03-19	@ Nordsjaelland	L 1-2	1634	1677	25.33%	29.07%	45.60%	-4.8	30
2023-03-19	Horsens	D 1-1	1562	1571	38.21%	30.11%	31.68%	-0.2	16
2023-03-19	@ Lyngby	D 1-1	1571	1562	31.68%	30.11%	38.21%	+0.2	23
2023-03-19	Midtjylland	D 3-3	1642	1689	32.87%	30.18%	36.95%	+0.1	29
2023-03-19	@ Silkeborg	D 3-3	1689	1642	36.95%	30.18%	32.87%	-0.1	28
2023-03-19	Odense	W 1-0	1621	1584	44.76%	29.25%	26.00%	+5.2	35
2023-03-19	@ Aarhus GF	L 0-1	1584	1621	26.00%	29.25%	44.76%	-5.2	28
2023-03-19	Randers	L 0-1	1564	1599	34.58%	30.22%	35.20%	-6.4	15
2023-03-19	@ Aalborg	W 1-0	1599	1564	35.20%	30.22%	34.58%	+6.4	32
2023-03-19	Viborg	W 2-1	1783	1670	54.59%	26.30%	19.11%	+3.7	42
2023-03-19	@ FC Copenhagen	L 1-2	1670	1783	19.11%	26.30%	54.59%	-3.7	37

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
2023-03-31	Midtjylland	D 1-1	1579	1689	25.20%	29.03%	45.77%	+0.7	1
2023-03-31	@ Odense	D 1-1	1689	1579	45.77%	29.03%	25.20%	-0.7	1
2023-04-02	Aalborg	L 0-4	1572	1558	41.52%	29.78%	28.70%	-26.2	0
2023-04-02	@ Horsens	W 4-0	1558	1572	28.70%	29.78%	41.52%	+26.2	3
2023-04-02	Nordsjaelland	W 2-1	1787	1682	53.55%	26.70%	19.75%	+3.8	3
2023-04-02	@ FC Copenhagen	L 1-2	1682	1787	19.75%	26.70%	53.55%	-3.8	0
2023-04-02	Silkeborg	D 1-1	1561	1642	28.55%	29.76%	41.68%	+0.5	1
2023-04-02	@ Lyngby	D 1-1	1642	1561	41.68%	29.76%	28.55%	-0.4	1
2023-04-02	Viborg	L 0-3	1629	1667	34.23%	30.22%	35.55%	-17.5	0
2023-04-02	@ Brondby	W 3-0	1667	1629	35.55%	30.22%	34.23%	+17.5	3
2023-04-03	Randers	D 1-1	1626	1606	42.49%	29.65%	27.86%	-0.5	1
2023-04-03	@ Aarhus GF	D 1-1	1606	1626	27.86%	29.65%	42.49%	+0.5	1
2023-04-09	Aarhus GF	L 0-1	1684	1626	47.58%	28.60%	23.82%	-8.1	3
2023-04-09	@ Viborg	W 1-0	1626	1684	23.82%	28.60%	47.58%	+8.1	4
2023-04-10	Brondby	W 2-1	1678	1612	48.70%	28.30%	23.01%	+4.4	3
2023-04-10	@ Nordsjaelland	L 1-2	1612	1678	23.01%	28.30%	48.70%	-4.4	0
2023-04-10	FC Copenhagen	W 1-0	1606	1791	18.66%	26.00%	55.34%	+9.1	4
2023-04-10	@ Randers	L 0-1	1791	1606	55.34%	26.00%	18.66%	-9.1	3
2023-04-10	Lyngby	W 1-0	1688	1562	56.29%	25.60%	18.11%	+3.7	4
2023-04-10	@ Midtjylland	L 0-1	1562	1688	18.11%	25.60%	56.29%	-3.7	1
2023-04-10	Odense	L 2-3	1584	1579	40.20%	29.94%	29.85%	-6.4	3
2023-04-10	@ Aalborg	W 3-2	1579	1584	29.85%	29.94%	40.20%	+6.4	4
2023-04-11	Horsens	L 1-2	1642	1545	52.53%	27.07%	20.39%	-8.3	1
2023-04-11	@ Silkeborg	W 2-1	1545	1642	20.39%	27.07%	52.53%	+8.3	3
2023-04-14	Aalborg	D 1-1	1692	1577	54.82%	26.21%	18.97%	-1.3	5
2023-04-14	@ Midtjylland	D 1-1	1577	1692	18.97%	26.21%	54.82%	+1.3	4
2023-04-16	Aarhus GF	W 1-0	1607	1634	35.79%	30.21%	34.00%	+6.3	3
2023-04-16	@ Brondby	L 0-1	1634	1607	34.00%	30.21%	35.79%	-6.3	4
2023-04-16	Horsens	W 2-1	1558	1554	40.23%	29.94%	29.83%	+5.4	4
2023-04-16	@ Lyngby	L 1-2	1554	1558	29.83%	29.94%	40.23%	-5.4	3
2023-04-16	Silkeborg	W 2-0	1586	1633	32.82%	30.18%	37.00%	+12.7	7
2023-04-16	@ Odense	L 0-2	1633	1586	37.00%	30.18%	32.82%	-12.7	1
2023-04-16	Viborg	W 2-1	1781	1676	53.68%	26.65%	19.67%	+3.8	6
2023-04-16	@ FC Copenhagen	L 1-2	1676	1781	19.67%	26.65%	53.68%	-3.8	3
2023-04-17	Nordsjaelland	D 1-1	1615	1683	30.16%	29.98%	39.86%	+0.3	5
2023-04-17	@ Randers	D 1-1	1683	1615	39.86%	29.98%	30.16%	-0.3	4
2023-04-21	Aalborg	D 2-2	1621	1579	45.38%	29.12%	25.50%	-0.5	2
2023-04-21	@ Silkeborg	D 2-2	1579	1621	25.50%	29.12%	45.38%	+0.5	5
2023-04-23	FC Copenhagen	D 0-0	1628	1785	20.76%	27.27%	51.97%	+1.3	5
2023-04-23	@ Aarhus GF	D 0-0	1785	1628	51.97%	27.27%	20.76%	-1.3	7
2023-04-23	Midtjylland	L 0-2	1548	1691	22.06%	27.90%	50.04%	-8.4	3
2023-04-23	@ Horsens	W 2-0	1691	1548	50.04%	27.90%	22.06%	+8.5	8
2023-04-23	Nordsjaelland	W 1-0	1672	1683	38.11%	30.12%	31.77%	+6.0	6
2023-04-23	@ Viborg	L 0-1	1683	1672	31.77%	30.12%	38.11%	-6.0	4
2023-04-23	Randers	L 0-4	1614	1615	39.33%	30.03%	30.65%	-25.2	3
2023-04-23	@ Brondby	W 4-0	1615	1614	30.65%	30.03%	39.33%	+25.2	8
2023-04-24	Lyngby	D 2-2	1599	1564	44.43%	29.31%	26.26%	-0.5	8
2023-04-24	@ Odense	D 2-2	1564	1599	26.26%	29.31%	44.43%	+0.5	5
2023-04-28	Odense	D 2-2	1540	1598	31.37%	30.09%	38.54%	+0.2	4
2023-04-28	@ Horsens	D 2-2	1598	1540	38.54%	30.09%	31.37%	-0.2	9
2023-04-30	Aarhus GF	L 0-1	1676	1629	46.15%	28.95%	24.90%	-7.9	4
2023-04-30	@ Nordsjaelland	W 1-0	1629	1676	24.90%	28.95%	46.15%	+7.9	8
2023-04-30	Brondby	L 0-1	1784	1589	64.36%	21.70%	13.94%	-10.2	7
2023-04-30	@ FC Copenhagen	W 1-0	1589	1784	13.94%	21.70%	64.36%	+10.2	6
2023-04-30	Lyngby	W 1-0	1579	1564	41.71%	29.76%	28.53%	+5.6	8
2023-04-30	@ Aalborg	L 0-1	1564	1579	28.53%	29.76%	41.71%	-5.6	5
2023-04-30	Randers	W 3-1	1678	1641	44.80%	29.24%	25.97%	+8.4	9
2023-04-30	@ Viborg	L 1-3	1641	1678	25.97%	29.24%	44.80%	-8.4	8
2023-05-01	Silkeborg	W 3-0	1699	1620	50.31%	27.82%	21.87%	+12.2	11
2023-05-01	@ Midtjylland	L 0-3	1620	1699	21.87%	27.82%	50.31%	-12.2	2
2023-05-07	Brondby	L 1-3	1632	1599	44.24%	29.35%	26.42%	-12.5	8
2023-05-07	@ Randers	W 3-1	1599	1632	26.42%	29.35%	44.24%	+12.5	9
2023-05-07	Horsens	W 4-0	1585	1540	45.81%	29.02%	25.17%	+18.0	11
2023-05-07	@ Aalborg	L 0-4	1540	1585	25.17%	29.02%	45.81%	-18.0	4
2023-05-07	Midtjylland	W 2-1	1559	1711	21.16%	27.48%	51.36%	+8.1	8
2023-05-07	@ Lyngby	L 1-2	1711	1559	51.36%	27.48%	21.16%	-8.1	11
2023-05-07	Odense	L 0-1	1608	1598	41.00%	29.85%	29.15%	-7.3	2
2023-05-07	@ Silkeborg	W 1-0	1598	1608	29.15%	29.85%	41.00%	+7.2	12
2023-05-07	Viborg	W 3-0	1637	1687	32.50%	30.16%	37.33%	+18.6	11
2023-05-07	@ Aarhus GF	L 0-3	1687	1637	37.33%	30.16%	32.50%	-18.6	9
2023-05-08	FC Copenhagen	W 3-2	1669	1774	25.76%	29.19%	45.05%	+7.0	7
2023-05-08	@ Nordsjaelland	L 2-3	1774	1669	45.05%	29.19%	25.76%	-7.0	7
2023-05-12	Aalborg	D 1-1	1605	1603	39.89%	29.98%	30.14%	-0.3	13
2023-05-12	@ Odense	D 1-1	1603	1605	30.14%	29.98%	39.89%	+0.3	12
2023-05-14	FC Copenhagen	L 1-3	1611	1767	20.94%	27.36%	51.70%	-7.0	9
2023-05-14	@ Brondby	W 3-1	1767	1611	51.70%	27.36%	20.94%	+7.0	10
2023-05-14	Horsens	W 3-1	1703	1522	62.78%	22.53%	14.69%	+4.8	14
2023-05-14	@ Midtjylland	L 1-3	1522	1703	14.69%	22.53%	62.78%	-4.8	4
2023-05-14	Lyngby	W 1-0	1601	1567	44.32%	29.33%	26.35%	+5.2	5
2023-05-14	@ Silkeborg	L 0-1	1567	1601	26.35%	29.33%	44.32%	-5.2	8
2023-05-14	Nordsjaelland	D 1-1	1655	1676	36.71%	30.19%	33.10%	-0.1	12
2023-05-14	@ Aarhus GF	D 1-1	1676	1655	33.10%	30.19%	36.71%	+0.1	8
2023-05-15	Viborg	L 0-2	1620	1668	32.70%	30.17%	37.13%	-11.6	8
2023-05-15	@ Randers	W 2-0	1668	1620	37.13%	30.17%	32.70%	+11.6	12
2023-05-19	Silkeborg	L 0-1	1517	1606	27.58%	29.59%	42.82%	-5.4	4
2023-05-19	@ Horsens	W 1-0	1606	1517	42.82%	29.59%	27.58%	+5.4	8
2023-05-21	Aarhus GF	W 4-3	1774	1655	55.30%	26.01%	18.68%	+3.3	13
2023-05-21	@ FC Copenhagen	L 3-4	1655	1774	18.68%	26.01%	55.30%	-3.3	12
2023-05-21	Brondby	D 1-1	1680	1604	49.85%	27.96%	22.19%	-1.0	13
2023-05-21	@ Viborg	D 1-1	1604	1680	22.19%	27.96%	49.85%	+1.0	10
2023-05-21	Midtjylland	L 0-2	1603	1708	25.80%	29.20%	45.00%	-9.7	12
2023-05-21	@ Aalborg	W 2-0	1708	1603	45.00%	29.20%	25.80%	+9.7	17
2023-05-21	Odense	L 0-4	1561	1605	33.40%	30.20%	36.40%	-22.4	8
2023-05-21	@ Lyngby	W 4-0	1605	1561	36.40%	30.20%	33.40%	+22.4	16
2023-05-22	Randers	W 3-1	1676	1608	48.81%	28.26%	22.92%	+7.6	11
2023-05-22	@ Nordsjaelland	L 1-3	1608	1676	22.92%	28.26%	48.81%	-7.6	8
2023-05-26	Horsens	W 2-1	1627	1512	54.94%	26.16%	18.90%	+3.6	19
2023-05-26	@ Odense	L 1-2	1512	1627	18.90%	26.16%	54.94%	-3.6	4
2023-05-29	Aalborg	W 2-1	1539	1594	31.87%	30.13%	38.00%	+6.5	11
2023-05-29	@ Lyngby	L 1-2	1594	1539	38.00%	30.13%	31.87%	-6.5	12
2023-05-29	FC Copenhagen	L 1-2	1679	1777	26.51%	29.37%	44.12%	-5.0	13
2023-05-29	@ Viborg	W 2-1	1777	1679	44.12%	29.37%	26.51%	+5.0	16
2023-05-29	Midtjylland	D 3-3	1611	1718	25.64%	29.15%	45.21%	+0.4	9
2023-05-29	@ Silkeborg	D 3-3	1718	1611	45.21%	29.15%	25.64%	-0.4	18
2023-05-29	Nordsjaelland	W 5-1	1605	1683	28.89%	29.81%	41.30%	+21.8	13
2023-05-29	@ Brondby	L 1-5	1683	1605	41.30%	29.81%	28.89%	-21.7	11
2023-05-30	Aarhus GF	L 1-3	1600	1652	32.29%	30.15%	37.56%	-10.0	8
2023-05-30	@ Randers	W 3-1	1652	1600	37.56%	30.15%	32.29%	+10.0	15
2023-06-03	Lyngby	D 0-0	1508	1545	34.23%	30.22%	35.55%	+0.0	5
2023-06-03	@ Horsens	D 0-0	1545	1508	35.55%	30.22%	34.23%	-0.0	12
2023-06-03	Odense	W 4-2	1717	1631	51.27%	27.51%	21.22%	+6.3	21
2023-06-03	@ Midtjylland	L 2-4	1631	1717	21.22%	27.51%	51.27%	-6.3	19
2023-06-03	Silkeborg	L 0-1	1587	1612	36.05%	30.21%	33.74%	-6.6	12
2023-06-03	@ Aalborg	W 1-0	1612	1587	33.74%	30.21%	36.05%	+6.6	12
2023-06-04	Brondby	D 3-3	1662	1627	44.42%	29.31%	26.27%	-0.4	16
2023-06-04	@ Aarhus GF	D 3-3	1627	1662	26.27%	29.31%	44.42%	+0.4	14
2023-06-04	Randers	D 1-1	1782	1590	63.93%	21.93%	14.14%	-1.9	17
2023-06-04	@ FC Copenhagen	D 1-1	1590	1782	14.14%	21.93%	63.93%	+1.9	9
2023-06-04	Viborg	D 0-0	1661	1674	37.83%	30.14%	32.03%	-0.2	12
2023-06-04	@ Nordsjaelland	D 0-0	1674	1661	32.03%	30.14%	37.83%	+0.2	14

Playoff Game Log

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

Date	Opponent	Score	Pre Elo	Opp Elo	Win %	Tie %	Loss %	Elo Δ	Record
2023-06-09	Midtjylland	L 0-1	1674	1724	28.35%	29.73%	41.93%	-5.5	0-1
2023-06-09	@ Viborg	W 1-0	1724	1674	41.93%	29.73%	28.35%	+5.5	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	2023-04-30	13.94%	Brondby	1589	1	@ FC Copenhagen	1784	0
2	2023-03-12	15.97%	Lyngby	1546	3	@ Midtjylland	1705	1
3	2022-11-12	16.46%	Lyngby	1524	2	@ Silkeborg	1675	0
4	2022-08-28	17.61%	Odense	1562	2	@ Silkeborg	1695	1
5	2023-04-10	18.66%	@ Randers	1606	1	FC Copenhagen	1791	0
6	2022-08-12	18.93%	Randers	1615	3	@ FC Copenhagen	1730	1
7	2022-07-17	18.98%	Horsens	1619	1	@ FC Copenhagen	1733	0
8	2022-08-20	19.30%	Aarhus GF	1598	2	@ Midtjylland	1708	0
9	2022-09-04	19.52%	Aalborg	1594	2	@ Midtjylland	1702	0
10	2022-10-31	19.85%	Odense	1597	2	@ Midtjylland	1700	1
11	2023-04-11	20.39%	Horsens	1545	2	@ Silkeborg	1642	1
12	2022-09-10	20.88%	@ Odense	1565	2	FC Copenhagen	1721	1
13	2023-02-27	21.13%	Brondby	1627	1	@ Midtjylland	1715	0
14	2023-05-07	21.16%	@ Lyngby	1559	2	Midtjylland	1711	1
15	2023-04-09	23.82%	Aarhus GF	1626	1	@ Viborg	1684	0
16	2023-04-30	24.90%	Aarhus GF	1629	1	@ Nordsjaelland	1676	0
17	2022-08-28	25.09%	@ Nordsjaelland	1617	3	FC Copenhagen	1729	1
18	2022-07-31	25.49%	@ Viborg	1625	4	FC Copenhagen	1732	2
19	2023-05-08	25.76%	@ Nordsjaelland	1669	3	FC Copenhagen	1774	2
20	2022-07-22	25.96%	Silkeborg	1668	3	@ Midtjylland	1706	1
21	2022-07-24	26.42%	Nordsjaelland	1605	3	@ Brondby	1638	1
22	2023-05-07	26.42%	Brondby	1599	3	@ Randers	1632	1
23	2022-10-09	26.49%	Brondby	1615	3	@ Randers	1648	2
24	2023-03-05	26.59%	@ Lyngby	1538	1	Brondby	1636	0
25	2022-09-04	27.35%	Brondby	1600	2	@ Horsens	1626	0

Biggest Elo Changes

The 25 games that resulted in the largest shift in Elo rating.

#	Date	Elo Δ	Winning Team				Losing Team				Tie %
#	Date	Elo Δ	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2023-04-02	26.20	Aalborg	4	1558	28.70%	@ Horsens	0	1572	41.52%	29.78%
2	2023-04-23	25.17	Randers	4	1615	30.65%	@ Brondby	0	1614	39.33%	30.03%
3	2023-02-20	24.54	Midtjylland	4	1690	31.91%	@ Viborg	0	1679	37.96%	30.13%
4	2023-05-21	22.42	Odense	4	1605	36.40%	@ Lyngby	0	1561	33.40%	30.20%
5	2023-05-29	21.75	@ Brondby	5	1605	28.89%	Nordsjaelland	1	1683	41.30%	29.81%
6	2023-03-05	19.69	@ FC Copenhagen	7	1755	59.92%	Odense	0	1598	16.12%	23.96%
7	2023-05-07	18.56	@ Aarhus GF	3	1637	32.50%	Viborg	0	1687	37.33%	30.16%
8	2022-11-04	18.35	@ Horsens	5	1601	37.25%	Randers	1	1617	32.59%	30.17%
9	2022-11-12	18.09	Lyngby	2	1524	16.46%	@ Silkeborg	0	1675	59.27%	24.27%
10	2023-05-07	18.02	@ Aalborg	4	1585	45.81%	Horsens	0	1540	25.17%	29.02%
11	2023-04-02	17.46	Viborg	3	1667	35.55%	@ Brondby	0	1629	34.23%	30.22%
12	2023-02-26	16.97	Viborg	3	1654	36.93%	@ Horsens	0	1607	32.89%	30.18%
13	2022-08-20	16.93	Aarhus GF	2	1598	19.30%	@ Midtjylland	0	1708	54.28%	26.42%
14	2022-09-04	16.85	Aalborg	2	1594	19.52%	@ Midtjylland	0	1702	53.92%	26.56%
15	2023-03-12	15.85	Lyngby	3	1546	15.97%	@ Midtjylland	1	1705	60.22%	23.82%
16	2023-02-19	15.32	FC Copenhagen	3	1737	41.54%	@ Silkeborg	0	1657	28.68%	29.78%
17	2022-07-29	15.16	Midtjylland	5	1694	45.44%	@ Odense	1	1586	25.46%	29.11%
18	2022-08-12	14.79	Randers	3	1615	18.93%	@ FC Copenhagen	1	1730	54.88%	26.18%
19	2022-09-04	14.20	Brondby	2	1600	27.35%	@ Horsens	0	1626	43.10%	29.55%
20	2022-07-18	13.59	Nordsjaelland	2	1591	29.47%	@ Odense	0	1599	40.64%	29.89%
21	2022-11-13	13.59	@ Nordsjaelland	5	1664	49.47%	Aalborg	1	1592	22.45%	28.07%
22	2022-08-19	13.50	FC Copenhagen	3	1715	46.64%	@ Lyngby	0	1598	24.53%	28.83%
23	2022-08-14	13.39	@ Viborg	2	1630	30.20%	Silkeborg	0	1697	39.82%	29.98%
24	2022-10-23	13.35	Nordsjaelland	2	1641	30.34%	@ Randers	0	1641	39.66%	30.00%
25	2022-09-18	13.22	Odense	2	1573	30.85%	@ Lyngby	0	1570	39.10%	30.05%