1990 1st Division Season

182 games

Final

Champion

Brondby

42 points · 4th Title

Last Title: 1988

Relegated

KB Copenhagen

14 pts

Viborg · 15 pts

Herfolge · 18 pts

Naestved · 23 pts

Biggest Overachiever

Brondby

5.94 points above expected

42 points · 36.06 expected points

Biggest Disappointment

Viborg

4.74 points below expected

14 points · 18.74 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	Brondby Champion	26	17	8	1	42	50	16	+34	36.06	+5.94
2	B 1903	26	10	11	5	31	44	27	+17	30.57	+0.43
3	Ikast	26	11	8	7	30	38	27	+11	24.67	+5.33
4	Silkeborg	26	11	8	7	30	35	26	+9	28.03	+1.97
5	Frem	26	7	15	4	29	33	25	+8	28.13	+0.87
6	Lyngby	26	10	8	8	28	44	30	+14	29.74	-1.74
7	Aarhus GF	26	9	10	7	28	31	25	+6	29.40	-1.40
8	Odense	26	9	9	8	27	32	28	+4	27.89	-0.89
9	Vejle BK	26	8	10	8	26	32	32	0	28.37	-2.37
10	Aalborg	26	8	10	8	26	32	34	-2	23.40	+2.60
11	Naestved Relegated	26	6	10	10	22	20	34	-14	24.70	-2.70
12	Herfolge Relegated	26	4	9	13	17	21	47	-26	19.56	-2.56
13	KB Copenhagen Relegated	26	4	6	16	14	24	52	-28	14.74	-0.74
14	Viborg Relegated	26	5	4	17	14	19	52	-33	18.74	-4.74

Notes

Aalborg won the promotion/relegation playoff over B 1909 by an aggregate score of 10-5 to retain their place in the Superliga.
Vejle BK won the promotion/relegation playoff over B 1913 by an aggregate score of 1-1 (4-3) to retain their place in the Superliga.

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	Brondby	42	36.06	+5.94
2	Ikast	30	24.67	+5.33
3	Aalborg	26	23.40	+2.60
4	Silkeborg	30	28.03	+1.97
5	Frem	29	28.13	+0.87

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Viborg	14	18.74	-4.74
2	Naestved	22	24.70	-2.70
3	Herfolge	17	19.56	-2.56
4	Vejle BK	26	28.37	-2.37
5	Lyngby	28	29.74	-1.74

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 consecutive wins or ties; Winless counts consecutive losses or ties.

Most Unlikely Winning Streaks

#	Team	Games	Dates	Probability
1	Brondby	10	Jun 4 – Sep 23	1 in 364
2	Odense	5	Sep 15 – Oct 14	1 in 74
3	KB Copenhagen	2	Apr 29 – May 6	1 in 67
4	Ikast	2	Apr 22 – Apr 29	1 in 40
5	Frem	2	Apr 8 – Apr 15	1 in 25

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Herfolge	7	Sep 2 – Oct 14	1 in 722
2	Naestved	3	May 6 – May 20	1 in 323
3	Lyngby	4	Apr 29 – May 20	1 in 266
4	Odense	3	Apr 8 – Apr 22	1 in 98
5	Viborg	6	Sep 30 – Nov 4	1 in 31

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Brondby	24	Apr 16 – Nov 11	1 in 42
2	Silkeborg	9	Apr 1 – May 27	1 in 17
3	KB Copenhagen	3	Sep 9 – Sep 23	1 in 15
4	Odense	9	Sep 15 – Nov 11	1 in 15
5	Aarhus GF	8	Apr 22 – Jul 29	1 in 14

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Aarhus GF	11	Jul 29 – Oct 7	1 in 83
2	Vejle BK	10	Apr 22 – Aug 12	1 in 68
3	Odense	7	Apr 1 – May 13	1 in 41
4	Lyngby	6	Apr 16 – May 20	1 in 18
5	Herfolge	13	Aug 19 – Nov 11	1 in 16

Position Race

Each team’s league position across the whole season. Colored teams are the season’s headline finishers — champion, promoted, and relegated; everyone else is gray as context.

Recent Form

Each team’s last 5 games, hottest first. Form shows the results (navy win, gray draw, red loss, newest on the right); the bars show Elo change over the window, points taken, points expected from the odds, and actual minus expected. Beside each team: current Elo and season points.

Team	Elo	Season Pts	Elo Δ (5)	Points (5)	Expected (5)	Actual − Exp
Brondby	1773	42	-5	7	7.7	-0.7
B 1903	1613	31	-7	5	5.8	-0.8
Ikast	1573	30	+27	7	4.9	+2.1
Silkeborg	1576	30	-10	6	5.8	+0.2
Frem	1570	29	-17	5	5.9	-0.9
Aarhus GF	1582	28	+69	9	6.2	+2.8
Lyngby	1680	28	+70	7	6.2	+0.8
Odense	1588	27	+14	6	5.7	+0.3
Vejle BK	1549	26	+20	6	4.4	+1.6
Aalborg	1505	26	-6	4	4.7	-0.7
Naestved	1413	22	-62	3	4.1	-1.1
Herfolge	1318	17	-23	2	2.4	-0.4
Viborg	1310	14	-22	2	3.5	-1.5
KB Copenhagen	1269	14	-49	1	2.6	-1.6

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	B1	BRO	FRE	HER	IKA	KC	LYN	NAE	ODE	SIL	VB	VIB
Aalborg	—	2-0-0 2.22	1-0-1 1.75	0-1-1 1.32	1-1-0 1.97	0-2-0 3.43	0-1-1 2.50	1-0-1 3.68	0-1-1 1.88	2-0-0 2.31	0-1-1 2.14	0-1-1 1.94	0-1-1 2.16	1-1-0 3.29
Aarhus GF	0-0-2 3.08	—	0-1-1 2.82	0-1-1 1.85	0-2-0 2.77	1-1-0 3.85	1-1-0 3.19	2-0-0 4.09	1-0-1 2.61	0-1-1 3.15	0-2-0 2.80	1-1-0 2.42	1-0-1 2.76	2-0-0 3.84
B 1903	1-0-1 3.54	1-1-0 2.47	—	0-1-1 2.08	0-2-0 2.89	2-0-0 3.64	0-1-1 3.31	1-1-0 4.22	1-1-0 2.58	1-1-0 3.49	1-1-0 2.76	1-0-1 2.76	0-2-0 2.78	1-0-1 3.69
Brondby	1-1-0 4.05	1-1-0 3.43	1-1-0 3.22	—	1-0-1 3.46	1-1-0 4.53	1-1-0 3.77	2-0-0 4.72	2-0-0 3.62	1-1-0 3.91	2-0-0 3.45	1-1-0 3.69	1-1-0 3.69	2-0-0 4.17
Frem	0-1-1 3.32	0-2-0 2.53	0-2-0 2.39	1-0-1 1.85	—	0-2-0 3.50	1-1-0 2.95	1-1-0 4.10	0-1-1 2.41	0-2-0 3.39	1-1-0 2.36	1-0-1 2.67	0-2-0 2.63	2-0-0 3.99
Herfolge	0-2-0 1.86	0-1-1 1.48	0-0-2 1.66	0-1-1 0.91	0-2-0 1.80	—	1-0-1 2.25	0-1-1 3.44	0-0-2 1.48	0-1-1 1.92	1-0-1 1.77	0-1-1 1.70	1-0-1 1.84	1-0-1 2.75
Ikast	1-1-0 2.77	0-1-1 2.08	1-1-0 1.97	0-1-1 1.54	0-1-1 2.32	1-0-1 3.03	—	1-1-0 3.91	1-0-1 2.08	1-1-0 2.88	1-1-0 2.09	1-0-1 2.27	1-0-1 2.24	2-0-0 3.50
KB Copenhagen	1-0-1 1.65	0-0-2 1.28	0-1-1 1.18	0-0-2 0.78	0-1-1 1.29	1-1-0 1.86	0-1-1 1.42	—	0-1-1 1.17	1-0-1 1.36	0-0-2 1.32	0-0-2 1.24	1-0-1 1.34	0-1-1 2.25
Lyngby	1-1-0 3.41	1-0-1 2.66	0-1-1 2.69	0-0-2 1.68	1-1-0 2.86	2-0-0 3.84	1-0-1 3.22	1-1-0 4.20	—	1-1-0 3.47	1-1-0 2.69	0-1-1 2.89	0-1-1 2.86	1-0-1 3.96
Naestved	0-0-2 2.97	1-1-0 2.13	0-1-1 1.80	0-1-1 1.41	0-2-0 1.89	1-1-0 3.36	0-1-1 2.40	1-0-1 4.00	0-1-1 1.82	—	1-0-1 2.10	0-1-1 2.41	1-0-1 2.26	1-1-0 3.56
Odense	1-1-0 3.16	0-2-0 2.47	0-1-1 2.53	0-0-2 1.87	0-1-1 2.93	1-0-1 3.56	0-1-1 3.18	2-0-0 4.03	0-1-1 2.58	1-0-1 3.18	—	2-0-0 2.34	0-2-0 2.68	2-0-0 3.54
Silkeborg	1-1-0 3.34	0-1-1 2.85	1-0-1 2.51	0-1-1 1.62	1-0-1 2.61	1-1-0 3.64	1-0-1 3.03	2-0-0 4.12	1-1-0 2.41	1-1-0 2.86	0-0-2 2.94	—	1-1-0 2.42	1-1-0 3.77
Vejle BK	1-1-0 3.14	1-0-1 2.52	0-2-0 2.51	0-1-1 1.64	0-2-0 2.65	1-0-1 3.46	1-0-1 3.03	1-0-1 4.02	1-1-0 2.43	1-0-1 3.02	0-2-0 2.59	0-1-1 2.85	—	1-0-1 3.73
Viborg	0-1-1 1.99	0-0-2 1.51	1-0-1 1.65	0-0-2 1.22	0-0-2 1.35	1-0-1 2.52	0-0-2 1.81	1-1-0 3.02	1-0-1 1.40	0-1-1 1.73	0-0-2 1.76	0-1-1 1.54	1-0-1 1.58	—

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).

Fit Metrics

	R²	Slope
Scored	0.79	+7.0
Allowed	0.92	-6.7
Differential	0.96	+3.8

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	12.64%	8.52%	6.32%	1.65%	1.65%	0.82%	31.59%
1	8.52%	12.09%	7.14%	3.02%	1.37%	0.82%	32.97%
2	6.32%	7.14%	8.24%	0.82%	0.27%	0.27%	23.08%
3	1.65%	3.02%	0.82%	1.65%	—	—	7.14%
4	1.65%	1.37%	0.27%	—	—	—	3.30%
5+	0.82%	0.82%	0.27%	—	—	—	1.92%
Total	31.59%	32.97%	23.08%	7.14%	3.30%	1.92%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.25	1.25	+0.00
SD	1.24	1.24	1.80
CV	0.99	0.99	—
Max	7	7	+7
Min	0	0	-7

Games Played: 182

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.85%	11.54%	—	—	3.85%	—	19.23%
1	11.54%	15.38%	11.54%	3.85%	—	—	42.31%
2	7.69%	11.54%	15.38%	—	—	—	34.62%
3	—	—	—	3.85%	—	—	3.85%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	23.08%	38.46%	26.92%	7.69%	3.85%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.23	1.31	-0.08
SD	0.82	1.05	1.26
CV	0.66	0.80	—
Max	3	4	+2
Min	0	0	-4

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	19.23%	—	3.85%	—	—	—	23.08%
1	19.23%	15.38%	11.54%	3.85%	3.85%	—	53.85%
2	3.85%	—	3.85%	3.85%	—	—	11.54%
3	—	3.85%	—	—	—	—	3.85%
4	7.69%	—	—	—	—	—	7.69%
5+	—	—	—	—	—	—	—
Total	50.00%	19.23%	19.23%	7.69%	3.85%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.19	0.96	+0.23
SD	1.10	1.18	1.61
CV	0.92	1.23	—
Max	4	4	+4
Min	0	0	-3

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	15.38%	—	—	—	—	—	15.38%
1	3.85%	11.54%	11.54%	7.69%	—	—	34.62%
2	15.38%	7.69%	11.54%	—	—	—	34.62%
3	3.85%	—	—	3.85%	—	—	7.69%
4	—	3.85%	—	—	—	—	3.85%
5+	3.85%	—	—	—	—	—	3.85%
Total	42.31%	23.08%	23.08%	11.54%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.69	1.04	+0.65
SD	1.46	1.08	1.85
CV	0.86	1.04	—
Max	7	3	+7
Min	0	0	-2

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	15.38%	3.85%	—	—	—	—	19.23%
1	11.54%	7.69%	—	—	—	—	19.23%
2	15.38%	3.85%	7.69%	—	—	—	26.92%
3	7.69%	7.69%	3.85%	—	—	—	19.23%
4	3.85%	7.69%	3.85%	—	—	—	15.38%
5+	—	—	—	—	—	—	—
Total	53.85%	30.77%	15.38%	—	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.92	0.62	+1.31
SD	1.35	0.75	1.29
CV	0.70	1.22	—
Max	4	2	+4
Min	0	0	-1

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	11.54%	7.69%	—	3.85%	—	—	23.08%
1	7.69%	34.62%	3.85%	—	—	—	46.15%
2	7.69%	3.85%	7.69%	—	—	—	19.23%
3	—	3.85%	—	3.85%	—	—	7.69%
4	—	—	—	—	—	—	—
5+	3.85%	—	—	—	—	—	3.85%
Total	30.77%	50.00%	11.54%	7.69%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.27	0.96	+0.31
SD	1.15	0.87	1.41
CV	0.91	0.91	—
Max	5	3	+5
Min	0	0	-3

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	15.38%	15.38%	3.85%	—	7.69%	—	42.31%
1	11.54%	11.54%	11.54%	—	3.85%	3.85%	42.31%
2	—	3.85%	—	—	—	3.85%	7.69%
3	—	—	—	7.69%	—	—	7.69%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	26.92%	30.77%	15.38%	7.69%	11.54%	7.69%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.81	1.81	-1.00
SD	0.90	1.90	1.81
CV	1.11	1.05	—
Max	3	7	+1
Min	0	0	-6

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	7.69%	11.54%	7.69%	3.85%	—	—	30.77%
1	11.54%	15.38%	3.85%	—	—	—	30.77%
2	3.85%	3.85%	7.69%	—	—	—	15.38%
3	—	7.69%	3.85%	—	—	—	11.54%
4	3.85%	3.85%	—	—	—	—	7.69%
5+	—	3.85%	—	—	—	—	3.85%
Total	26.92%	46.15%	23.08%	3.85%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.46	1.04	+0.42
SD	1.45	0.82	1.72
CV	0.99	0.79	—
Max	5	3	+4
Min	0	0	-3

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	7.69%	11.54%	11.54%	3.85%	11.54%	3.85%	50.00%
1	3.85%	3.85%	15.38%	3.85%	—	—	26.92%
2	—	7.69%	7.69%	—	—	—	15.38%
3	—	—	—	3.85%	—	—	3.85%
4	—	—	—	—	—	—	—
5+	—	—	3.85%	—	—	—	3.85%
Total	11.54%	23.08%	38.46%	11.54%	11.54%	3.85%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.92	2.00	-1.08
SD	1.35	1.30	1.94
CV	1.47	0.65	—
Max	6	5	+4
Min	0	0	-5

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	7.69%	7.69%	7.69%	—	—	—	23.08%
1	7.69%	3.85%	7.69%	—	—	—	19.23%
2	11.54%	3.85%	19.23%	7.69%	—	—	42.31%
3	3.85%	3.85%	—	—	—	—	7.69%
4	—	—	—	—	—	—	—
5+	3.85%	3.85%	—	—	—	—	7.69%
Total	34.62%	23.08%	34.62%	7.69%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.69	1.15	+0.54
SD	1.46	1.01	1.86
CV	0.86	0.87	—
Max	6	3	+6
Min	0	0	-2

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	26.92%	7.69%	7.69%	3.85%	—	3.85%	50.00%
1	3.85%	7.69%	3.85%	7.69%	3.85%	—	26.92%
2	11.54%	3.85%	3.85%	—	—	—	19.23%
3	—	—	3.85%	—	—	—	3.85%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	42.31%	19.23%	19.23%	11.54%	3.85%	3.85%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.77	1.31	-0.54
SD	0.91	1.54	1.79
CV	1.18	1.18	—
Max	3	6	+2
Min	0	0	-6

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	15.38%	7.69%	15.38%	7.69%	—	—	46.15%
1	7.69%	15.38%	—	—	—	—	23.08%
2	—	7.69%	3.85%	—	—	—	11.54%
3	—	11.54%	—	—	—	—	11.54%
4	3.85%	—	—	—	—	—	3.85%
5+	—	3.85%	—	—	—	—	3.85%
Total	26.92%	46.15%	19.23%	7.69%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.23	1.08	+0.15
SD	1.68	0.89	2.03
CV	1.37	0.83	—
Max	7	3	+6
Min	0	0	-3

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	7.69%	11.54%	7.69%	—	—	—	26.92%
1	11.54%	11.54%	3.85%	3.85%	—	—	30.77%
2	3.85%	15.38%	11.54%	—	—	—	30.77%
3	3.85%	—	—	—	—	—	3.85%
4	3.85%	3.85%	—	—	—	—	7.69%
5+	—	—	—	—	—	—	—
Total	30.77%	42.31%	23.08%	3.85%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.35	1.00	+0.35
SD	1.16	0.85	1.52
CV	0.86	0.85	—
Max	4	3	+4
Min	0	0	-2

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	11.54%	7.69%	3.85%	—	—	—	23.08%
1	3.85%	15.38%	11.54%	—	3.85%	—	34.62%
2	7.69%	15.38%	11.54%	—	3.85%	—	38.46%
3	3.85%	—	—	—	—	—	3.85%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	26.92%	38.46%	26.92%	—	7.69%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.23	1.23	+0.00
SD	0.86	1.11	1.33
CV	0.70	0.90	—
Max	3	4	+3
Min	0	0	-3

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	11.54%	15.38%	19.23%	—	—	3.85%	50.00%
1	3.85%	—	3.85%	11.54%	3.85%	7.69%	30.77%
2	—	11.54%	3.85%	—	—	—	15.38%
3	—	3.85%	—	—	—	—	3.85%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	15.38%	30.77%	26.92%	11.54%	3.85%	11.54%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.73	2.00	-1.27
SD	0.87	1.72	1.93
CV	1.20	0.86	—
Max	3	7	+2
Min	0	0	-7

Games Played: 26

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
Brondby	1773	42	36.06	+5.94	96.0%	25	30	33	36	39	42	44
Lyngby	1680	28	29.74	-1.74	35.0%	15	25	28	29	32	36	39
B 1903	1613	31	30.57	+0.43	54.0%	22	24	27	30	33	37	39
Odense	1588	27	27.89	-0.89	43.0%	19	21	25	28	30	34	39
Aarhus GF	1582	28	29.40	-1.40	40.0%	20	24	27	30	32	35	35
Silkeborg	1576	30	28.03	+1.97	70.0%	17	20	25	28	31	34	37
Ikast	1573	30	24.67	+5.33	94.0%	14	18	22	25	27	31	36
Frem	1570	29	28.13	+0.87	69.0%	19	23	26	27	31	35	36
Vejle BK	1549	26	28.37	-2.37	26.0%	18	23	26	28	30	34	39
Aalborg	1505	26	23.40	+2.60	79.0%	15	16	21	23	25	29	31
Naestved	1413	22	24.70	-2.70	28.0%	16	19	22	25	27	30	34
Herfolge	1318	17	19.56	-2.56	31.0%	10	13	17	20	22	26	28
Viborg	1310	14	18.74	-4.74	14.0%	8	13	16	18	22	24	28
KB Copenhagen	1269	14	14.74	-0.74	43.0%	7	9	13	15	17	19	22

Point 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).

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.

Season Trends

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

Edges & Scoring

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Home Edge: Share of matches won by the home team minus the share won by the away team.
No Edge: under 8.5% * Slight Edge: 8.5% to 12.5% * Clear Edge: 12.5% to 17.5% * Strong Edge: 17.5% and up.
Elo Value: Number of Elo rating points one goal is worth. A team this many Elo points better than another is expected to win by one goal on a neutral field.
Scoring Tilt: Average home goals minus average away goals per match. The gold line is the home goals edge implied by the scoring value of an Elo point and the home-field Elo bonus.
Road-Tilted: under -0.2 * Neutral: -0.2 to 0.5 * Home-Tilted: 0.5 to 1.2 * Strong Home: 1.2 and up.

Home Edge

HomeDrawAway

+17.03%

Clear Edge

41.21%34.62%24.18%

Elo Value

Home Edge

192 Elo

0.005 goals per Elo point

059.76500

Scoring Tilt

Expected

+0.34 goals

Neutral

-2+0.31+2

Title Race

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Title-Race Openness: Effective number of teams with a live shot at finishing 1st, from the simulation. 1 means the favorite is a near-lock; larger means a wide-open race. Equal to 1 divided by the sum of squared title odds.
One-Team Race: under 3 * Top-Heavy: 3 to 4 * Open: 4 to 6 * Wide Open: 6 and up.
Champion Preseason Odds: Preseason probability that the eventual champion would finish 1st, from the simulation. The dot marks their rank across all teams, from longshot to favorite.
Preseason Favorite: 1st * Among the Favorites: 2nd to 3rd * Middle of the Pack: 4th to 7th * Longshot: 8th or lower.
Title Margin: Points-per-game gap between the champion and the runner-up. Shown per game so it reads the same across long and short seasons. The gold line is the winning margin the model expected, so a dot to the right means a more one-sided race than projected. A title won on goal difference shows 0.00.
Photo Finish: under 0.06 * Tight Race: 0.06 to 0.15 * Comfortable: 0.15 to 0.27 * Runaway: 0.27 and up.

Title-Race Openness

2.0

One-Team Race

134610

Champion Preseason Odds

70%

Brondby, 1st of 14

LongshotFavorite

Title Margin

Expected

0.42/gm

Runaway

00.130.6/gm

Simulation-Based Surprises

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Luck Spread: Standard deviation of the gap between each team's actual points and their simulated average points. The gold line is the spread the model expected from chance alone.
As Expected: under 2.99 * Some Luck: 2.99 to 4.48 * Lucky: 4.48 to 5.97 * Wild Swing: 5.97 and up.
Average Finish Error: Average gap between where each team was projected to finish and where they actually finished in the table.
Pinpoint: under 1.57 * Close: 1.57 to 2.36 * Off: 2.36 to 3.15 * Way Off: 3.15 and up.
Biggest Overachiever: The team that finished highest inside its own range of simulated outcomes. The gold line is where the top team in a league of 14 typically lands.
Biggest Underachiever: The team that finished lowest inside its own range of simulated outcomes. The gold line is where the bottom team in a league of 14 typically lands.
Season Outliers: Number of teams that finished above the 95th or below the 5th percentile of their own simulated range. Even a well-calibrated model expects about 10% of teams in the extremes.
Minimal Outliers: under 14 * As Expected: 14 to 22.4 * Several Outliers: 22.4 to 30.8 * Many Outliers: 30.8 and up.
Unexpected Relegations: Number of teams that were actually relegated but were not in the model's projected bottom field of the same size. The gold line is how many the model expected to miss on average.
As Expected: under 3.41 * A Surprise: 3.41 to 5.46 * Several Surprises: 5.46 to 7.5 * Many Surprises: 7.5 and up.

Luck Spread

Expected

2.97 points

As Expected

03.739

Average Finish Error

Expected

1.86

01.974

Biggest Overachiever

Expected 96.43%

96.00%

Brondby

50100

Biggest Underachiever

Expected 3.57%

14.00%

Viborg

050

Season Outliers

Expected

1 of 14

Minimal Outliers

01.47

Unexpected Relegations

Expected

3 of 4

As Expected

03.44

Parity

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Gini Index: How evenly points were spread across the league. Lower means a tight, balanced table; higher means a few teams ran off with most of the points.
Balanced: under 0.12 * Even: 0.12 to 0.15 * Top-Heavy: 0.15 to 0.17 * Lopsided: 0.17 and up.
Noll-Scully: Take a league where every match is a coin flip and nobody is better than anybody. You would still get a table, with a leader and a bottom club, purely by luck, and you can work out how far apart that table would be. This is the real table measured against it. At 1.00 the season was no more spread out than pure chance; at 2.00 it was twice as spread out, which takes genuine differences in quality. Dividing by the luck figure is what makes seasons of different lengths comparable, because a short season spreads a table by luck alone far more than a long one does. Elo SD in the corner is the same question in rating points: how far apart the teams finished on the ratings.
Coin-Flip Parity: under 1.35 * Moderate Separation: 1.35 to 1.6 * Strong Separation: 1.6 to 1.9 * Wide Separation: 1.9 and up.
Interquartile Edge: Chance the team at the 75th percentile of Elo would beat the team at the 25th percentile on a neutral field. Higher means a bigger gap between the upper and lower half of the table.
Even: under 59% * Slight Edge: 59% to 64.5% * Clear Edge: 64.5% to 69% * Wide Edge: 69% and up.
Best vs. Worst: Chance the top-rated team would beat the bottom-rated team on a neutral field. The gold line is how large that gap tends to be in a league of this size; a dot to the right flags an unusually dominant or unusually weak team.
Even: under 79% * Clear Edge: 79% to 85% * Strong Edge: 85% to 88.5% * Dominant: 88.5% and up.
Close Games: Share of matches decided by 1 goal or fewer, draws included. The gold line is how many close games the matchups and the scoring value of an Elo point predict.
Few: under 54.5% * Some Drama: 54.5% to 58% * Frequent: 58% to 61.5% * Very Frequent: 61.5% and up.
Blowouts: Share of matches decided by 3 goals or more. The gold line is how many routs the matchups and the scoring model predict.
Rare: under 15.5% * Occasional: 15.5% to 19% * Frequent: 19% to 23% * Very Frequent: 23% and up.

Gini Index

0.15

Even

00.120.5

Noll-Scully

Elo SD: 145.57

1.80

Strong Separation

0.651.351.61.92.5

Interquartile Edge

70%

Wide Edge

50%59%69%100%

Best vs. Worst

Baseline 95%

95%

Dominant

50%100%

Close Games

Expected

68%

Very Frequent

0%59%100%

Blowouts

Expected

13%

Rare

0%17%100%

Predictability

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Brier Score: How close the pregame probabilities landed to the actual result, averaged over the season. Confident, correct calls are rewarded most; confident misses are punished most. Lower is better; since draws are possible, a score under 0.66 beats guessing the base rate.
Highly Predictable: under 0.56 * Predictable: 0.56 to 0.62 * Hard to Predict: 0.62 to 0.66 * Coin-Flip: 0.66 and up.
Matchup Imbalance: How lopsided the matchups were on paper, averaging the gap between the two win probabilities over their sum. 0 means every match was a toss-up; 1 means every match was a heavy favorite against a big underdog.
Very Even: under 0.28 * Slight Separation: 0.28 to 0.32 * Notable Separation: 0.32 to 0.37 * Lopsided: 0.37 and up.
Strangeness: How wild the final table was versus what the model expected. A value of 1 means teams landed about one standard deviation from their projections on average. Above 1 is a stranger season; below 1 hugged the projections.
Very Predictable: under 0.8 * As Expected: 0.8 to 1.1 * Wilder Than Modeled: 1.1 to 1.4 * Chaotic: 1.4 and up.
Repeatability: How closely the final table order matched the preseason Elo order, by Spearman rank correlation. Higher means last season's ratings strongly predicted this season's finish. Shows N/A for an inaugural season.
Weak Carryover: under 0.3 * Some Carryover: 0.3 to 0.5 * Strong Carryover: 0.5 to 0.63 * Near-Lock: 0.63 and up.
Upset Rate: Share of matches the underdog won. The gold line is how often the model expected underdogs to win; a dot to the right means upsets ran hotter than expected.
Chalky: under 24% * As Expected: 24% to 26.5% * Upset-Prone: 26.5% to 30.5% * Very Upset-Prone: 30.5% and up.
Clear Favorite Upset Rate: Share of matches the underdog won, counting only games with a clear favorite (at least 60% likely to win once a draw is set aside). The gold line is how often the model expected these favorites to slip.
Solid Favorites: under 20.5% * As Expected: 20.5% to 23.5% * Shaky Favorites: 23.5% to 27% * Very Shaky: 27% and up.

Brier Score

Expected

0.60

Predictable

00.602

Matchup Imbalance

0.46

Lopsided

00.280.370.5

Strangeness

Expected

0.61

Very Predictable

01.002

Repeatability

0.56

Strong Carryover

00.30.50.631

Upset Rate

Expected

18%

Chalky

0%17%50%

Clear Favorite Upset Rate

Expected

14%

Solid Favorites

0%15%50%

Calibration

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Probability calibration: An all-in-one chi-square test of the model's probabilities. Matches are grouped by how confident the model was, and within each group the predicted and actual counts of home wins, draws, and away wins are compared. The p-value is plotted; above 0.05 means well-calibrated.
Miscalibrated: under 0.05 * Borderline: 0.05 to 0.1 * Well Calibrated: 0.1 to 0.5 * Excellent: 0.5 and up.
Calibration slope: Checks whether the spread of the probabilities is right. Each probability is turned into log-odds and a line is fit predicting the actual results. A slope of 1.00 is perfect; below 1 is overconfidence (favorites lost more than their odds implied); above 1 is under-confidence.
Overconfident: under 0.85 * Calibrated: 0.85 to 1.15 * Underconfident: 1.15 to 1.3 * Very Underconfident: 1.3 and up.
Calibration error (ECE): The average gap between the model's stated chances and how often the predicted result actually happened. Smaller is better. The gold line is the noise ceiling, the error luck alone can produce even with perfect probabilities; below it, the model's error is no larger than chance.
Well Within Noise: under 0.13 * Near Noise Ceiling: 0.13 to 0.2 * Above Noise: 0.2 to 0.26 * Well Above Noise: 0.26 and up.

Probability calibration

0.20

Well Calibrated

0.010.050.10.51

Calibration slope

Ideal

0.95

Calibrated

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.102

Well Within Noise

00.1300.3

Final Table Odds

Each cell is the probability — across 100,000 simulations — that the team (row) finished at that position (column). Rows are sorted by actual finish (champion at top, bottom of the table at the bottom).

Team	1	2	3	4	5	6	7	8	9	10	11	12	13	14
Brondby	70.00%	18.00%	6.00%	2.00%	2.00%	—	—	1.00%	1.00%	—	—	—	—	—
B 1903	7.00%	25.00%	18.00%	11.00%	11.00%	4.00%	8.00%	10.00%	3.00%	1.00%	2.00%	—	—	—
Ikast	—	3.00%	4.00%	4.00%	2.00%	10.00%	6.00%	16.00%	13.00%	16.00%	12.00%	8.00%	6.00%	—
Silkeborg	1.00%	8.00%	14.00%	12.00%	17.00%	7.00%	8.00%	9.00%	8.00%	8.00%	3.00%	3.00%	1.00%	1.00%
Frem	2.00%	11.00%	9.00%	7.00%	12.00%	14.00%	14.00%	12.00%	6.00%	6.00%	5.00%	2.00%	—	—
Lyngby	8.00%	14.00%	15.00%	12.00%	14.00%	12.00%	9.00%	7.00%	5.00%	1.00%	1.00%	1.00%	1.00%	—
Aarhus GF	4.00%	13.00%	14.00%	20.00%	7.00%	10.00%	8.00%	8.00%	5.00%	7.00%	3.00%	1.00%	—	—
Odense	4.00%	4.00%	9.00%	12.00%	9.00%	14.00%	11.00%	14.00%	6.00%	10.00%	6.00%	1.00%	—	—
Vejle BK	4.00%	3.00%	8.00%	15.00%	15.00%	15.00%	16.00%	6.00%	10.00%	3.00%	4.00%	—	1.00%	—
Aalborg	—	—	1.00%	2.00%	5.00%	7.00%	7.00%	5.00%	13.00%	19.00%	19.00%	11.00%	8.00%	3.00%
Naestved	—	1.00%	2.00%	3.00%	5.00%	6.00%	9.00%	10.00%	22.00%	14.00%	13.00%	12.00%	3.00%	—
Herfolge	—	—	—	—	—	1.00%	1.00%	1.00%	5.00%	10.00%	17.00%	25.00%	31.00%	9.00%
KB Copenhagen	—	—	—	—	—	—	—	—	—	—	4.00%	10.00%	23.00%	63.00%
Viborg	—	—	—	—	1.00%	—	3.00%	1.00%	3.00%	5.00%	11.00%	26.00%	26.00%	24.00%

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.

Next-Season Status

Across 100,000 regular-season simulations, the probability of each team's next-season status. Columns appear in best-to-worst outcome order: promotion-positive on the left, relegation-positive on the right. Cells with darker shading indicate higher likelihood.

Team	Same level	Qualified for relegation playoff	Direct relegation
Brondby	99.00%	1.00%	—
KB Copenhagen	100%	—	—
B 1903	96.00%	3.00%	1.00%
Lyngby	94.00%	5.00%	1.00%
Vejle BK	87.00%	10.00%	3.00%
Viborg	92.00%	3.00%	5.00%
Frem	88.00%	6.00%	6.00%
Aarhus GF	88.00%	5.00%	7.00%
Silkeborg	84.00%	8.00%	8.00%
Herfolge	85.00%	5.00%	10.00%
Odense	84.00%	6.00%	10.00%
Naestved	64.00%	22.00%	14.00%
Ikast	71.00%	13.00%	16.00%
Aalborg	68.00%	13.00%	19.00%

Filter by Team:

Overall Game Log

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

Date	Opponent	Score	Excitement	Pre Elo	Opp Elo	Win %	Tie %	Loss %	Proj. Margin	Elo Δ	Points
1990-04-01	Frem	D 1-1	64.2	1617	1511	53.97%	34.49%	11.54%	+0.86	-3.4	1
1990-04-01	@ Aarhus GF	D 1-1	64.2	1511	1617	11.54%	34.49%	53.97%	-0.86	+3.4	1
1990-04-01	Naestved	D 0-0	59.6	1617	1519	53.35%	34.67%	11.98%	+0.82	-3.7	1
1990-04-01	@ Brondby	D 0-0	59.6	1519	1617	11.98%	34.67%	53.35%	-0.82	+3.7	1
1990-04-01	Ikast	D 2-2	65.2	1533	1473	49.88%	35.51%	14.61%	+0.62	-2.0	1
1990-04-01	@ B 1903	D 2-2	65.2	1473	1533	14.61%	35.51%	49.88%	-0.62	+2.0	1
1990-04-01	Viborg	W 1-0	43.6	1426	1420	44.31%	36.33%	19.37%	+0.34	+9.2	2
1990-04-01	@ Herfolge	L 0-1	43.6	1420	1426	19.37%	36.33%	44.31%	-0.34	-9.2	0
1990-04-01	Silkeborg	L 1-2	69.6	1630	1532	53.36%	34.67%	11.97%	+0.82	-18.0	0
1990-04-01	@ Lyngby	W 2-1	69.6	1532	1630	11.97%	34.67%	53.36%	-0.82	+18.0	2
1990-04-01	Aalborg	D 1-1	64.3	1642	1470	59.17%	32.54%	8.30%	+1.21	-4.2	1
1990-04-01	@ Odense	D 1-1	64.3	1470	1642	8.30%	32.54%	59.17%	-1.21	+4.2	1
1990-04-01	KB Copenhagen	W 2-0	37.2	1592	1336	64.83%	29.50%	5.67%	+1.65	+5.7	2
1990-04-01	@ Vejle BK	L 0-2	37.2	1336	1592	5.67%	29.50%	64.83%	-1.65	-5.7	0
1990-04-08	Lyngby	L 0-1	53.9	1474	1612	25.80%	36.24%	37.97%	-0.41	-11.1	1
1990-04-08	@ Aalborg	W 1-0	53.9	1612	1474	37.97%	36.24%	25.80%	+0.41	+11.1	2
1990-04-08	Brondby	W 1-0	57.4	1515	1614	30.86%	36.59%	32.55%	-0.20	+12.9	3
1990-04-08	@ Frem	L 0-1	57.4	1614	1515	32.55%	36.59%	30.86%	+0.20	-12.9	1
1990-04-08	Aarhus GF	L 0-1	53.9	1475	1613	25.78%	36.23%	37.99%	-0.41	-11.1	1
1990-04-08	@ Ikast	W 1-0	53.9	1613	1475	37.99%	36.23%	25.78%	+0.41	+11.1	3
1990-04-08	Herfolge	D 0-0	47.2	1331	1435	30.13%	36.56%	33.32%	-0.23	+0.2	1
1990-04-08	@ KB Copenhagen	D 0-0	47.2	1435	1331	33.32%	36.56%	30.13%	+0.23	-0.2	3
1990-04-08	Odense	W 2-0	56.0	1523	1638	28.70%	36.47%	34.82%	-0.29	+25.5	3
1990-04-08	@ Naestved	L 0-2	56.0	1638	1523	34.82%	36.47%	28.70%	+0.29	-25.5	1
1990-04-08	Vejle BK	D 2-2	69.7	1550	1598	37.77%	36.69%	25.55%	+0.06	-0.6	3
1990-04-08	@ Silkeborg	D 2-2	69.7	1598	1550	25.55%	36.69%	37.77%	-0.06	+0.6	3
1990-04-08	B 1903	W 2-1	57.2	1411	1531	27.99%	36.42%	35.58%	-0.32	+12.9	2
1990-04-08	@ Viborg	L 1-2	57.2	1531	1411	35.58%	36.42%	27.99%	+0.32	-12.9	1
1990-04-15	Frem	L 0-2	60.2	1612	1528	52.20%	34.98%	12.81%	+0.75	-35.3	1
1990-04-15	@ Odense	W 2-0	60.2	1528	1612	12.81%	34.98%	52.20%	-0.75	+35.3	5
1990-04-16	B 1903	L 1-4	63.9	1624	1518	54.05%	34.47%	11.48%	+0.87	-44.6	3
1990-04-16	@ Aarhus GF	W 4-1	63.9	1518	1624	11.48%	34.47%	54.05%	-0.87	+44.6	3
1990-04-16	Ikast	W 2-0	44.7	1601	1464	56.48%	33.65%	9.87%	+1.02	+10.1	3
1990-04-16	@ Brondby	L 0-2	44.7	1464	1601	9.87%	33.65%	56.48%	-1.02	-10.1	1
1990-04-16	Silkeborg	D 1-1	58.5	1435	1549	28.78%	36.48%	34.74%	-0.28	+0.4	4
1990-04-16	@ Herfolge	D 1-1	58.5	1549	1435	34.74%	36.48%	28.78%	+0.28	-0.4	4
1990-04-16	Viborg	D 2-2	57.4	1331	1424	31.73%	36.62%	31.64%	-0.17	+0.0	2
1990-04-16	@ KB Copenhagen	D 2-2	57.4	1424	1331	31.64%	36.62%	31.73%	+0.17	+0.0	3
1990-04-16	Naestved	D 2-2	70.8	1623	1548	51.26%	35.21%	13.53%	+0.70	-2.2	3
1990-04-16	@ Lyngby	D 2-2	70.8	1548	1623	13.53%	35.21%	51.26%	-0.70	+2.2	4
1990-04-16	Aalborg	W 2-1	53.1	1599	1463	56.41%	33.67%	9.92%	+1.02	+5.1	5
1990-04-16	@ Vejle BK	L 1-2	53.1	1463	1599	9.92%	33.67%	56.41%	-1.02	-5.1	1
1990-04-22	Herfolge	D 1-1	55.4	1458	1435	46.17%	36.11%	17.71%	+0.43	-2.1	2
1990-04-22	@ Aalborg	D 1-1	55.4	1435	1458	17.71%	36.11%	46.17%	-0.43	+2.1	5
1990-04-22	Brondby	L 1-3	62.9	1563	1611	37.78%	36.69%	25.53%	+0.06	-23.4	3
1990-04-22	@ B 1903	W 3-1	62.9	1611	1563	25.53%	36.69%	37.78%	-0.06	+23.4	5
1990-04-22	Lyngby	D 0-0	60.2	1563	1621	36.53%	36.70%	26.77%	+0.01	-0.8	6
1990-04-22	@ Frem	D 0-0	60.2	1621	1563	26.77%	36.70%	36.53%	-0.01	+0.8	4
1990-04-22	Odense	W 1-0	55.0	1454	1577	27.65%	36.40%	35.95%	-0.33	+13.8	3
1990-04-22	@ Ikast	L 0-1	55.0	1577	1454	35.95%	36.40%	27.65%	+0.33	-13.8	1
1990-04-22	Vejle BK	W 2-0	53.3	1551	1604	37.17%	36.69%	26.14%	+0.04	+21.2	6
1990-04-22	@ Naestved	L 0-2	53.3	1604	1551	26.14%	36.69%	37.17%	-0.04	-21.2	5
1990-04-22	KB Copenhagen	W 4-0	34.5	1549	1331	62.33%	30.95%	6.72%	+1.45	+13.0	6
1990-04-22	@ Silkeborg	L 0-4	34.5	1331	1549	6.72%	30.95%	62.33%	-1.45	-13.0	2
1990-04-22	Aarhus GF	L 0-1	50.1	1424	1580	23.61%	35.98%	40.40%	-0.50	-10.4	3
1990-04-22	@ Viborg	W 1-0	50.1	1580	1424	40.40%	35.98%	23.61%	+0.50	+10.4	5
1990-04-29	Aarhus GF	D 1-1	66.2	1634	1590	48.36%	35.79%	15.85%	+0.54	-2.5	6
1990-04-29	@ Brondby	D 1-1	66.2	1590	1634	15.85%	35.79%	48.36%	-0.54	+2.5	6
1990-04-29	Naestved	L 0-1	51.2	1437	1572	26.16%	36.27%	37.57%	-0.39	-11.2	5
1990-04-29	@ Herfolge	W 1-0	51.2	1572	1437	37.57%	36.27%	26.16%	+0.39	+11.2	8
1990-04-29	Aalborg	W 2-1	53.1	1318	1456	25.75%	36.23%	38.02%	-0.41	+13.5	4
1990-04-29	@ KB Copenhagen	L 1-2	53.1	1456	1318	38.02%	36.23%	25.75%	+0.41	-13.5	2
1990-04-29	Ikast	L 2-3	73.0	1621	1468	57.78%	33.14%	9.08%	+1.11	-18.3	4
1990-04-29	@ Lyngby	W 3-2	73.0	1468	1621	9.08%	33.14%	57.78%	-1.11	+18.3	5
1990-04-29	B 1903	D 0-0	58.1	1563	1539	46.31%	36.10%	17.60%	+0.44	-2.4	2
1990-04-29	@ Odense	D 0-0	58.1	1539	1563	17.60%	36.10%	46.31%	-0.44	+2.4	4
1990-04-29	Viborg	W 1-0	44.0	1562	1413	57.40%	33.29%	9.31%	+1.09	+5.1	8
1990-04-29	@ Silkeborg	L 0-1	44.0	1413	1562	9.31%	33.29%	57.40%	-1.09	-5.1	3
1990-04-29	Frem	D 1-1	64.2	1582	1562	45.89%	36.15%	17.96%	+0.42	-2.1	6
1990-04-29	@ Vejle BK	D 1-1	64.2	1562	1582	17.96%	36.15%	45.89%	-0.42	+2.1	7
1990-05-06	Silkeborg	D 1-1	59.5	1442	1567	27.47%	36.38%	36.14%	-0.34	+0.6	3
1990-05-06	@ Aalborg	D 1-1	59.5	1567	1442	36.14%	36.38%	27.47%	+0.34	-0.6	9
1990-05-06	Odense	D 0-0	59.7	1593	1561	47.09%	35.99%	16.92%	+0.48	-2.5	7
1990-05-06	@ Aarhus GF	D 0-0	59.7	1561	1593	16.92%	35.99%	47.09%	-0.48	+2.5	3
1990-05-06	Lyngby	W 2-0	53.4	1542	1603	36.03%	36.70%	27.26%	-0.01	+21.8	6
1990-05-06	@ B 1903	L 0-2	53.4	1603	1542	27.26%	36.70%	36.03%	+0.01	-21.8	4
1990-05-06	Herfolge	D 3-3	68.8	1564	1426	56.62%	33.59%	9.78%	+1.03	-2.4	8
1990-05-06	@ Frem	D 3-3	68.8	1426	1564	9.78%	33.59%	56.62%	-1.03	+2.4	6
1990-05-06	KB Copenhagen	L 0-1	57.3	1583	1331	64.56%	29.67%	5.77%	+1.62	-22.4	8
1990-05-06	@ Naestved	W 1-0	57.3	1331	1583	5.77%	29.67%	64.56%	-1.62	+22.3	6
1990-05-06	Brondby	L 0-2	46.2	1408	1632	16.96%	34.64%	48.40%	-0.85	-15.4	3
1990-05-06	@ Viborg	W 2-0	46.2	1632	1408	48.40%	34.64%	16.96%	+0.85	+15.4	8
1990-05-13	Viborg	D 0-0	49.1	1443	1393	48.96%	35.69%	15.35%	+0.57	-2.9	4
1990-05-13	@ Aalborg	D 0-0	49.1	1393	1443	15.35%	35.69%	48.96%	-0.57	+2.9	4
1990-05-13	Ikast	W 1-0	48.1	1428	1486	36.50%	36.70%	26.80%	+0.01	+11.4	8
1990-05-13	@ Herfolge	L 0-1	48.1	1486	1428	26.80%	36.70%	36.50%	-0.01	-11.4	5
1990-05-13	Frem	L 0-5	40.8	1354	1562	18.31%	35.00%	46.69%	-0.77	-38.1	6
1990-05-13	@ KB Copenhagen	W 5-0	40.8	1562	1354	46.69%	35.00%	18.31%	+0.77	+38.1	10
1990-05-13	Aarhus GF	L 0-1	61.5	1581	1590	42.63%	36.47%	20.90%	+0.27	-15.7	4
1990-05-13	@ Lyngby	W 1-0	61.5	1590	1581	20.90%	36.47%	42.63%	-0.27	+15.7	9
1990-05-13	Brondby	L 0-3	55.1	1564	1647	33.02%	36.66%	30.32%	-0.12	-35.8	3
1990-05-13	@ Odense	W 3-0	55.1	1647	1564	30.32%	36.66%	33.02%	+0.12	+35.8	10
1990-05-13	Naestved	W 3-0	48.8	1566	1561	44.25%	36.33%	19.42%	+0.34	+25.2	11
1990-05-13	@ Silkeborg	L 0-3	48.8	1561	1566	19.42%	36.33%	44.25%	-0.34	-25.2	8
1990-05-13	B 1903	D 2-2	69.7	1580	1563	45.53%	36.19%	18.28%	+0.40	-1.5	7
1990-05-13	@ Vejle BK	D 2-2	69.7	1563	1580	18.28%	36.19%	45.53%	-0.40	+1.5	7
1990-05-16	Vejle BK	W 1-0	55.1	1475	1579	30.19%	36.56%	33.25%	-0.23	+13.1	7
1990-05-16	@ Ikast	L 0-1	55.1	1579	1475	33.25%	36.56%	30.19%	+0.23	-13.1	7
1990-05-20	Vejle BK	W 1-0	53.4	1606	1566	47.96%	35.86%	16.18%	+0.52	+8.1	11
1990-05-20	@ Aarhus GF	L 0-1	53.4	1566	1606	16.18%	35.86%	47.96%	-0.52	-8.1	7
1990-05-20	Lyngby	W 2-0	50.1	1683	1566	54.96%	34.18%	10.86%	+0.92	+11.0	12
1990-05-20	@ Brondby	L 0-2	50.1	1566	1683	10.86%	34.18%	54.96%	-0.92	-11.0	4
1990-05-20	Herfolge	W 2-1	51.2	1565	1440	55.59%	33.97%	10.44%	+0.96	+5.3	9
1990-05-20	@ B 1903	L 1-2	51.2	1440	1565	10.44%	33.97%	55.59%	-0.96	-5.3	8
1990-05-20	Silkeborg	L 1-2	68.2	1600	1591	44.63%	36.29%	19.08%	+0.36	-15.4	10
1990-05-20	@ Frem	W 2-1	68.2	1591	1600	19.08%	36.29%	44.63%	-0.36	+15.4	13
1990-05-20	KB Copenhagen	D 0-0	49.2	1488	1315	59.18%	32.53%	8.29%	+1.21	-4.7	8
1990-05-20	@ Ikast	D 0-0	49.2	1315	1488	8.29%	32.53%	59.18%	-1.21	+4.7	7
1990-05-20	Aalborg	L 0-2	54.7	1536	1440	53.13%	34.74%	12.13%	+0.81	-35.8	8
1990-05-20	@ Naestved	W 2-0	54.7	1440	1536	12.13%	34.74%	53.13%	-0.81	+35.8	6
1990-05-20	Odense	L 1-3	50.9	1396	1528	26.48%	36.30%	37.22%	-0.38	-18.4	4
1990-05-20	@ Viborg	W 3-1	50.9	1528	1396	37.22%	36.30%	26.48%	+0.38	+18.4	5
1990-05-27	Frem	W 1-0	55.5	1476	1585	29.53%	36.52%	33.94%	-0.26	+13.3	8
1990-05-27	@ Aalborg	L 0-1	55.5	1585	1476	33.94%	36.52%	29.53%	+0.26	-13.3	10
1990-05-27	Aarhus GF	D 0-0	56.4	1434	1614	21.08%	35.59%	43.33%	-0.62	+1.8	9
1990-05-27	@ Herfolge	D 0-0	56.4	1614	1434	43.33%	35.59%	21.08%	+0.62	-1.8	12
1990-05-27	B 1903	L 0-3	38.4	1320	1570	14.91%	33.95%	51.14%	-0.99	-20.1	7
1990-05-27	@ KB Copenhagen	W 3-0	38.4	1570	1320	51.14%	33.95%	14.91%	+0.99	+20.1	11
1990-05-27	Odense	W 2-0	49.5	1555	1546	44.59%	36.30%	19.11%	+0.36	+17.2	6
1990-05-27	@ Lyngby	L 0-2	49.5	1546	1555	19.11%	36.30%	44.59%	-0.36	-17.2	5
1990-05-27	Viborg	D 0-0	50.7	1500	1377	55.38%	34.04%	10.58%	+0.95	-4.1	9
1990-05-27	@ Naestved	D 0-0	50.7	1377	1500	10.58%	34.04%	55.38%	-0.95	+4.0	5
1990-05-27	Ikast	W 2-0	45.9	1607	1483	55.45%	34.02%	10.53%	+0.95	+10.7	15
1990-05-27	@ Silkeborg	L 0-2	45.9	1483	1607	10.53%	34.02%	55.45%	-0.95	-10.7	8
1990-05-27	Brondby	D 0-0	61.7	1558	1694	25.97%	36.25%	37.78%	-0.40	+0.9	8
1990-05-27	@ Vejle BK	D 0-0	61.7	1694	1558	37.78%	36.25%	25.97%	+0.40	-0.9	13
1990-06-04	KB Copenhagen	W 1-0	38.5	1612	1300	68.30%	27.24%	4.45%	+1.94	+2.2	14
1990-06-04	@ Aarhus GF	L 0-1	38.5	1300	1612	4.45%	27.24%	68.30%	-1.94	-2.2	7
1990-06-04	Herfolge	W 4-0	42.4	1693	1436	64.88%	29.47%	5.65%	+1.65	+10.7	15
1990-06-04	@ Brondby	L 0-4	42.4	1436	1693	5.65%	29.47%	64.88%	-1.65	-10.7	9
1990-06-04	Silkeborg	W 2-0	53.6	1590	1617	40.45%	36.60%	22.95%	+0.17	+19.5	13
1990-06-04	@ B 1903	L 0-2	53.6	1617	1590	22.95%	36.60%	40.45%	-0.17	-19.5	15
1990-06-04	Naestved	D 1-1	62.0	1571	1496	51.37%	35.19%	13.44%	+0.71	-3.0	11
1990-06-04	@ Frem	D 1-1	62.0	1496	1571	13.44%	35.19%	51.37%	-0.71	+3.0	10
1990-06-04	Aalborg	W 4-0	43.5	1473	1489	41.72%	36.53%	21.75%	+0.23	+35.6	10
1990-06-04	@ Ikast	L 0-4	43.5	1489	1473	21.75%	36.53%	41.72%	-0.23	-35.6	8
1990-06-04	Vejle BK	D 0-0	57.4	1529	1559	40.14%	36.61%	23.24%	+0.16	-1.3	6
1990-06-04	@ Odense	D 0-0	57.4	1559	1529	23.24%	36.61%	40.14%	-0.16	+1.3	9
1990-06-04	Lyngby	W 2-1	60.0	1381	1572	19.97%	35.38%	44.65%	-0.68	+15.3	7
1990-06-04	@ Viborg	L 1-2	60.0	1572	1381	44.65%	35.38%	19.97%	+0.68	-15.3	6
1990-07-29	B 1903	W 2-1	63.0	1454	1610	23.61%	35.98%	40.41%	-0.50	+14.1	10
1990-07-29	@ Aalborg	L 1-2	63.0	1610	1454	40.41%	35.98%	23.61%	+0.50	-14.1	13
1990-07-29	Viborg	W 3-1	45.8	1568	1396	59.14%	32.55%	8.31%	+1.21	+7.4	13
1990-07-29	@ Frem	L 1-3	45.8	1396	1568	8.31%	32.55%	59.14%	-1.21	-7.4	7
1990-07-29	Odense	W 1-0	51.3	1426	1528	30.42%	36.57%	33.01%	-0.22	+13.0	11
1990-07-29	@ Herfolge	L 0-1	51.3	1528	1426	33.01%	36.57%	30.42%	+0.22	-13.0	6
1990-07-29	Brondby	L 0-1	42.9	1298	1704	7.25%	28.48%	64.27%	-1.80	-3.6	7
1990-07-29	@ KB Copenhagen	W 1-0	42.9	1704	1298	64.27%	28.48%	7.25%	+1.80	+3.6	17
1990-07-29	Ikast	D 1-1	59.4	1499	1508	42.54%	36.48%	20.98%	+0.26	-1.5	11
1990-07-29	@ Naestved	D 1-1	59.4	1508	1499	20.98%	36.48%	42.54%	-0.26	+1.5	11
1990-07-29	Aarhus GF	D 2-2	71.3	1598	1614	41.73%	36.53%	21.74%	+0.23	-1.1	16
1990-07-29	@ Silkeborg	D 2-2	71.3	1614	1598	21.74%	36.53%	41.73%	-0.23	+1.1	15
1990-07-29	Lyngby	D 1-1	63.3	1560	1556	44.03%	36.35%	19.61%	+0.33	-1.8	10
1990-07-29	@ Vejle BK	D 1-1	63.3	1556	1560	19.61%	36.35%	44.03%	-0.33	+1.8	7
1990-08-05	Aalborg	L 0-2	59.5	1615	1468	57.35%	33.31%	9.34%	+1.08	-38.4	15
1990-08-05	@ Aarhus GF	W 2-0	59.5	1468	1615	9.34%	33.31%	57.35%	-1.08	+38.3	12
1990-08-05	Silkeborg	W 2-0	51.1	1707	1597	54.40%	34.36%	11.24%	+0.89	+11.3	19
1990-08-05	@ Brondby	L 0-2	51.1	1597	1707	11.24%	34.36%	54.40%	-0.89	-11.3	16
1990-08-05	Naestved	W 2-0	46.6	1596	1497	53.40%	34.66%	11.94%	+0.83	+11.9	15
1990-08-05	@ B 1903	L 0-2	46.6	1497	1596	11.94%	34.66%	53.40%	-0.83	-11.9	11
1990-08-05	Frem	D 1-1	62.1	1510	1576	35.43%	36.70%	27.87%	-0.03	-0.5	12
1990-08-05	@ Ikast	D 1-1	62.1	1576	1510	27.87%	36.70%	35.43%	+0.03	+0.5	14
1990-08-05	Herfolge	W 1-0	45.5	1558	1439	55.15%	34.12%	10.73%	+0.94	+5.8	9
1990-08-05	@ Lyngby	L 0-1	45.5	1439	1558	10.73%	34.12%	55.15%	-0.94	-5.8	11
1990-08-05	KB Copenhagen	W 4-0	32.5	1515	1294	62.50%	30.86%	6.64%	+1.46	+12.8	8
1990-08-05	@ Odense	L 0-4	32.5	1294	1515	6.64%	30.86%	62.50%	-1.46	-12.9	7
1990-08-05	Vejle BK	W 2-1	59.1	1389	1558	22.18%	35.78%	42.04%	-0.57	+14.6	9
1990-08-05	@ Viborg	L 1-2	59.1	1558	1389	42.04%	35.78%	22.18%	+0.57	-14.6	10
1990-08-12	Brondby	L 1-3	57.6	1506	1719	17.91%	34.90%	47.19%	-0.80	-13.9	12
1990-08-12	@ Aalborg	W 3-1	57.6	1719	1506	47.19%	34.90%	17.91%	+0.80	+13.9	21
1990-08-12	B 1903	D 1-1	65.0	1576	1608	39.92%	36.62%	23.45%	+0.15	-1.2	15
1990-08-12	@ Frem	D 1-1	65.0	1608	1576	23.45%	36.62%	39.92%	-0.15	+1.2	16
1990-08-12	Vejle BK	W 2-1	58.1	1433	1544	29.26%	36.51%	34.23%	-0.27	+12.6	13
1990-08-12	@ Herfolge	L 1-2	58.1	1544	1433	34.23%	36.51%	29.26%	+0.27	-12.6	10
1990-08-12	Lyngby	D 2-2	60.5	1281	1564	12.73%	32.98%	54.29%	-1.16	+2.4	8
1990-08-12	@ KB Copenhagen	D 2-2	60.5	1564	1281	54.29%	32.98%	12.73%	+1.16	-2.4	10
1990-08-12	Aarhus GF	W 3-2	65.3	1485	1577	31.85%	36.63%	31.52%	-0.17	+11.3	13
1990-08-12	@ Naestved	L 2-3	65.3	1577	1485	31.52%	36.63%	31.85%	+0.17	-11.3	15
1990-08-12	Odense	L 0-1	61.7	1585	1528	49.72%	35.54%	14.74%	+0.61	-17.9	16
1990-08-12	@ Silkeborg	W 1-0	61.7	1528	1585	14.74%	35.54%	49.72%	-0.61	+17.9	10
1990-08-12	Ikast	L 0-2	46.0	1404	1509	29.95%	36.55%	33.50%	-0.24	-23.1	9
1990-08-12	@ Viborg	W 2-0	46.0	1509	1404	33.50%	36.55%	29.95%	+0.24	+23.1	14
1990-08-19	Viborg	W 4-1	45.2	1733	1380	70.67%	25.57%	3.76%	+2.15	+4.2	23
1990-08-19	@ Brondby	L 1-4	45.2	1380	1733	3.76%	25.57%	70.67%	-2.15	-4.2	9
1990-08-19	Frem	D 1-1	59.9	1445	1575	26.79%	36.33%	36.88%	-0.36	+0.7	14
1990-08-19	@ Herfolge	D 1-1	59.9	1575	1445	36.88%	36.33%	26.79%	+0.36	-0.7	16
1990-08-19	Naestved	L 0-2	38.3	1284	1496	17.91%	34.90%	47.18%	-0.80	-16.0	8
1990-08-19	@ KB Copenhagen	W 2-0	38.3	1496	1284	47.18%	34.90%	17.91%	+0.80	+16.0	15
1990-08-19	B 1903	D 0-0	59.9	1562	1609	37.92%	36.68%	25.39%	+0.07	-1.0	11
1990-08-19	@ Lyngby	D 0-0	59.9	1609	1562	25.39%	36.68%	37.92%	-0.07	+1.0	17
1990-08-19	Aarhus GF	D 0-0	58.2	1545	1566	41.27%	36.56%	22.18%	+0.21	-1.5	11
1990-08-19	@ Odense	D 0-0	58.2	1566	1545	22.18%	36.56%	41.27%	-0.21	+1.5	16
1990-08-19	Aalborg	W 1-0	48.9	1568	1492	51.35%	35.19%	13.45%	+0.70	+7.0	18
1990-08-19	@ Silkeborg	L 0-1	48.9	1492	1568	13.45%	35.19%	51.35%	-0.70	-7.0	12
1990-08-19	Ikast	W 3-0	46.9	1531	1532	43.49%	36.40%	20.11%	+0.30	+25.8	12
1990-08-19	@ Vejle BK	L 0-3	46.9	1532	1531	20.11%	36.40%	43.49%	-0.30	-25.8	14
1990-08-26	KB Copenhagen	W 2-1	41.8	1485	1268	62.30%	30.97%	6.73%	+1.44	+3.4	14
1990-08-26	@ Aalborg	L 1-2	41.8	1268	1485	6.73%	30.97%	62.30%	-1.44	-3.4	8
1990-08-26	Brondby	L 1-2	63.3	1567	1737	22.13%	35.77%	42.10%	-0.57	-9.4	16
1990-08-26	@ Aarhus GF	W 2-1	63.3	1737	1567	42.10%	35.77%	22.13%	+0.57	+9.4	25
1990-08-26	Odense	W 2-0	49.3	1610	1544	50.46%	35.39%	14.15%	+0.65	+13.7	19
1990-08-26	@ B 1903	L 0-2	49.3	1544	1610	14.15%	35.39%	50.46%	-0.65	-13.7	11
1990-08-26	Vejle BK	D 2-2	69.4	1574	1557	45.61%	36.18%	18.21%	+0.40	-1.5	17
1990-08-26	@ Frem	D 2-2	69.4	1557	1574	18.21%	36.18%	45.61%	-0.40	+1.5	13
1990-08-26	Lyngby	L 1-2	62.3	1507	1561	37.01%	36.70%	26.29%	+0.03	-13.3	14
1990-08-26	@ Ikast	W 2-1	62.3	1561	1507	26.29%	36.70%	37.01%	-0.03	+13.3	13
1990-08-26	Herfolge	D 0-0	53.1	1512	1446	50.52%	35.38%	14.10%	+0.66	-3.2	16
1990-08-26	@ Naestved	D 0-0	53.1	1446	1512	14.10%	35.38%	50.52%	-0.66	+3.2	15
1990-08-26	Silkeborg	D 0-0	52.9	1376	1575	19.22%	35.22%	45.56%	-0.72	+2.2	10
1990-08-26	@ Viborg	D 0-0	52.9	1575	1376	45.56%	35.22%	19.22%	+0.72	-2.2	19
1990-09-02	Naestved	W 1-0	49.7	1489	1509	41.22%	36.56%	22.22%	+0.20	+10.1	16
1990-09-02	@ Aalborg	L 0-1	49.7	1509	1489	22.22%	36.56%	41.22%	-0.20	-10.1	16
1990-09-02	B 1903	L 1-2	57.6	1449	1623	21.64%	35.69%	42.68%	-0.60	-9.2	15
1990-09-02	@ Herfolge	W 2-1	57.6	1623	1449	42.68%	35.69%	21.64%	+0.60	+9.2	21
1990-09-02	Ikast	L 1-2	45.8	1264	1493	16.54%	34.51%	48.95%	-0.88	-7.5	8
1990-09-02	@ KB Copenhagen	W 2-1	45.8	1493	1264	48.95%	34.51%	16.54%	+0.88	+7.5	16
1990-09-02	Brondby	L 2-3	68.1	1574	1746	21.84%	35.72%	42.43%	-0.59	-8.8	13
1990-09-02	@ Lyngby	W 3-2	68.1	1746	1574	42.43%	35.72%	21.84%	+0.59	+8.8	27
1990-09-02	Viborg	W 3-1	44.3	1530	1378	57.65%	33.19%	9.16%	+1.10	+8.1	13
1990-09-02	@ Odense	L 1-3	44.3	1378	1530	9.16%	33.19%	57.65%	-1.10	-8.2	10
1990-09-02	Frem	L 1-2	66.7	1572	1573	43.59%	36.39%	20.02%	+0.31	-15.1	19
1990-09-02	@ Silkeborg	W 2-1	66.7	1573	1572	20.02%	36.39%	43.59%	-0.31	+15.1	19
1990-09-02	Aarhus GF	W 2-1	58.7	1558	1558	43.69%	36.38%	19.92%	+0.31	+8.8	15
1990-09-02	@ Vejle BK	L 1-2	58.7	1558	1558	19.92%	36.38%	43.69%	-0.31	-8.8	16
1990-09-09	Lyngby	L 1-3	62.4	1549	1565	41.77%	36.53%	21.70%	+0.23	-25.3	16
1990-09-09	@ Aarhus GF	W 3-1	62.4	1565	1549	21.70%	36.53%	41.77%	-0.23	+25.3	15
1990-09-09	Odense	W 3-0	47.0	1755	1538	62.25%	31.00%	6.75%	+1.44	+10.0	29
1990-09-09	@ Brondby	L 0-3	47.0	1538	1755	6.75%	31.00%	62.25%	-1.44	-10.0	13
1990-09-09	Vejle BK	D 0-0	61.0	1633	1567	50.44%	35.40%	14.17%	+0.65	-3.1	22
1990-09-09	@ B 1903	D 0-0	61.0	1567	1633	14.17%	35.40%	50.44%	-0.65	+3.1	16
1990-09-09	KB Copenhagen	D 1-1	56.9	1588	1257	69.45%	26.45%	4.11%	+2.04	-5.5	20
1990-09-09	@ Frem	D 1-1	56.9	1257	1588	4.11%	26.45%	69.45%	-2.04	+5.5	9
1990-09-09	Herfolge	W 4-1	45.3	1501	1440	49.98%	35.49%	14.53%	+0.63	+17.1	18
1990-09-09	@ Ikast	L 1-4	45.3	1440	1501	14.53%	35.49%	49.98%	-0.63	-17.1	15
1990-09-09	Silkeborg	D 0-0	56.3	1499	1557	36.49%	36.70%	26.81%	+0.01	-0.7	17
1990-09-09	@ Naestved	D 0-0	56.3	1557	1499	26.81%	36.70%	36.49%	-0.01	+0.7	20
1990-09-09	Aalborg	L 0-1	46.6	1370	1499	26.96%	36.34%	36.70%	-0.36	-11.4	10
1990-09-09	@ Viborg	W 1-0	46.6	1499	1370	36.70%	36.34%	26.96%	+0.36	+11.4	18
1990-09-15	Frem	W 1-0	52.8	1765	1582	59.90%	32.20%	7.91%	+1.26	+4.3	31
1990-09-15	@ Brondby	L 0-1	52.8	1582	1765	7.91%	32.20%	59.90%	-1.26	-4.3	20
1990-09-15	Aalborg	D 2-2	68.7	1590	1510	51.79%	35.09%	13.12%	+0.73	-2.3	16
1990-09-15	@ Lyngby	D 2-2	68.7	1510	1590	13.12%	35.09%	51.79%	-0.73	+2.2	19
1990-09-15	Naestved	W 3-1	51.8	1528	1498	46.90%	36.02%	17.08%	+0.47	+13.7	15
1990-09-15	@ Odense	L 1-3	51.8	1498	1528	17.08%	36.02%	46.90%	-0.47	-13.7	17
1990-09-15	Silkeborg	L 1-4	61.3	1570	1558	45.02%	36.25%	18.73%	+0.38	-38.0	16
1990-09-15	@ Vejle BK	W 4-1	61.3	1558	1570	18.73%	36.25%	45.02%	-0.38	+38.0	22
1990-09-16	Ikast	D 1-1	60.7	1524	1518	44.31%	36.32%	19.36%	+0.34	-1.8	17
1990-09-16	@ Aarhus GF	D 1-1	60.7	1518	1524	19.36%	36.32%	44.31%	-0.34	+1.8	19
1990-09-16	Viborg	W 7-0	38.9	1629	1359	65.75%	28.93%	5.32%	+1.72	+16.9	24
1990-09-16	@ B 1903	L 0-7	38.9	1359	1629	5.32%	28.93%	65.75%	-1.72	-16.9	10
1990-09-16	KB Copenhagen	L 2-6	51.6	1423	1262	58.30%	32.92%	8.78%	+1.15	-52.2	15
1990-09-16	@ Herfolge	W 6-2	51.6	1262	1423	8.78%	32.92%	58.30%	-1.15	+52.2	11
1990-09-23	Odense	L 1-2	62.8	1512	1542	40.13%	36.62%	23.26%	+0.16	-14.1	19
1990-09-23	@ Aalborg	W 2-1	62.8	1542	1512	23.26%	36.62%	40.13%	-0.16	+14.2	17
1990-09-23	Aarhus GF	D 0-0	58.2	1578	1522	49.55%	35.58%	14.87%	+0.60	-3.0	21
1990-09-23	@ Frem	D 0-0	58.2	1522	1578	14.87%	35.58%	49.55%	-0.60	+3.0	18
1990-09-23	B 1903	W 3-1	62.2	1520	1646	27.17%	36.36%	36.47%	-0.35	+22.8	21
1990-09-23	@ Ikast	L 1-3	62.2	1646	1520	36.47%	36.36%	27.17%	+0.35	-22.8	24
1990-09-23	Vejle BK	W 2-1	57.3	1315	1532	17.47%	34.78%	47.75%	-0.82	+16.1	13
1990-09-23	@ KB Copenhagen	L 1-2	57.3	1532	1315	47.75%	34.78%	17.47%	+0.82	-16.1	16
1990-09-23	Brondby	L 1-4	53.5	1485	1769	12.61%	32.92%	54.47%	-1.17	-14.6	17
1990-09-23	@ Naestved	W 4-1	53.5	1769	1485	54.47%	32.92%	12.61%	+1.17	+14.6	33
1990-09-23	Lyngby	D 2-2	70.7	1596	1588	44.54%	36.30%	19.16%	+0.35	-1.4	23
1990-09-23	@ Silkeborg	D 2-2	70.7	1588	1596	19.16%	36.30%	44.54%	-0.35	+1.4	17
1990-09-23	Herfolge	W 1-0	42.1	1342	1371	40.25%	36.61%	23.14%	+0.16	+10.4	12
1990-09-23	@ Viborg	L 0-1	42.1	1371	1342	23.14%	36.61%	40.25%	-0.16	-10.4	15
1990-09-24	Aalborg	D 2-2	75.0	1784	1498	66.70%	28.32%	4.98%	+1.80	-3.9	34
1990-09-24	@ Brondby	D 2-2	75.0	1498	1784	4.98%	28.32%	66.70%	-1.80	+3.9	20
1990-09-29	KB Copenhagen	W 2-0	36.8	1590	1331	65.01%	29.39%	5.60%	+1.66	+5.6	19
1990-09-29	@ Lyngby	L 0-2	36.8	1331	1590	5.60%	29.39%	65.01%	-1.66	-5.6	13
1990-09-29	Silkeborg	W 1-0	55.6	1556	1595	39.03%	36.66%	24.32%	+0.11	+10.7	19
1990-09-29	@ Odense	L 0-1	55.6	1595	1556	24.32%	36.66%	39.03%	-0.11	-10.7	23
1990-09-29	Herfolge	W 2-1	46.0	1516	1360	57.96%	33.06%	8.98%	+1.12	+4.6	18
1990-09-29	@ Vejle BK	L 1-2	46.0	1360	1516	8.98%	33.06%	57.96%	-1.12	-4.6	15
1990-09-30	Naestved	D 0-0	54.4	1525	1470	49.41%	35.60%	14.99%	+0.60	-3.0	19
1990-09-30	@ Aarhus GF	D 0-0	54.4	1470	1525	14.99%	35.60%	49.41%	-0.60	+2.9	18
1990-09-30	Frem	D 1-1	65.7	1624	1575	48.79%	35.72%	15.49%	+0.56	-2.5	25
1990-09-30	@ B 1903	D 1-1	65.7	1575	1624	15.49%	35.72%	48.79%	-0.56	+2.5	22
1990-09-30	Viborg	W 5-1	39.1	1542	1352	60.43%	31.94%	7.63%	+1.30	+12.4	23
1990-09-30	@ Ikast	L 1-5	39.1	1352	1542	7.63%	31.94%	60.43%	-1.30	-12.4	12
1990-10-07	Aarhus GF	W 2-1	56.2	1502	1522	41.33%	36.56%	22.12%	+0.21	+9.5	22
1990-10-07	@ Aalborg	L 1-2	56.2	1522	1502	22.12%	36.56%	41.33%	-0.21	-9.5	19
1990-10-07	Ikast	W 1-0	52.9	1578	1555	46.17%	36.12%	17.72%	+0.43	+8.6	24
1990-10-07	@ Frem	L 0-1	52.9	1555	1578	17.72%	36.12%	46.17%	-0.43	-8.6	23
1990-10-07	Lyngby	L 0-2	42.4	1356	1595	15.69%	34.23%	50.07%	-0.94	-14.4	15
1990-10-07	@ Herfolge	W 2-0	42.4	1595	1356	50.07%	34.23%	15.69%	+0.94	+14.4	21
1990-10-07	Odense	L 1-2	48.8	1325	1567	15.52%	34.17%	50.31%	-0.95	-7.1	13
1990-10-07	@ KB Copenhagen	W 2-1	48.8	1567	1325	50.31%	34.17%	15.52%	+0.95	+7.1	21
1990-10-07	B 1903	D 0-0	57.8	1473	1621	24.56%	36.10%	39.34%	-0.46	+1.2	19
1990-10-07	@ Naestved	D 0-0	57.8	1621	1473	39.34%	36.10%	24.56%	+0.46	-1.1	26
1990-10-07	Brondby	D 1-1	68.3	1584	1780	19.42%	35.26%	45.31%	-0.71	+1.9	24
1990-10-07	@ Silkeborg	D 1-1	68.3	1780	1584	45.31%	35.26%	19.42%	+0.71	-1.9	35
1990-10-07	Viborg	W 2-0	36.5	1521	1340	59.78%	32.25%	7.97%	+1.25	+8.2	20
1990-10-07	@ Vejle BK	L 0-2	36.5	1340	1521	7.97%	32.25%	59.78%	-1.25	-8.2	12
1990-10-14	Silkeborg	W 3-1	58.0	1512	1586	34.44%	36.69%	28.87%	-0.07	+19.6	21
1990-10-14	@ Aarhus GF	L 1-3	58.0	1586	1512	28.87%	36.69%	34.44%	+0.07	-19.6	24
1990-10-14	KB Copenhagen	W 1-0	42.6	1778	1318	76.60%	21.03%	2.37%	+2.71	+1.0	37
1990-10-14	@ Brondby	L 0-1	42.6	1318	1778	2.37%	21.03%	76.60%	-2.71	-1.0	13
1990-10-14	Aalborg	W 1-0	50.4	1620	1512	54.22%	34.42%	11.36%	+0.88	+6.1	28
1990-10-14	@ B 1903	L 0-1	50.4	1512	1620	11.36%	34.42%	54.22%	-0.88	-6.1	22
1990-10-14	Naestved	W 3-1	50.3	1546	1474	51.04%	35.26%	13.70%	+0.69	+11.6	25
1990-10-14	@ Ikast	L 1-3	50.3	1474	1546	13.70%	35.26%	51.04%	-0.69	-11.6	19
1990-10-14	Vejle BK	L 0-1	63.0	1610	1529	51.82%	35.08%	13.10%	+0.73	-18.6	21
1990-10-14	@ Lyngby	W 1-0	63.0	1529	1610	13.10%	35.08%	51.82%	-0.73	+18.6	22
1990-10-14	Herfolge	W 7-1	37.9	1574	1341	63.33%	30.39%	6.28%	+1.53	+14.6	23
1990-10-14	@ Odense	L 1-7	37.9	1341	1574	6.28%	30.39%	63.33%	-1.53	-14.6	15
1990-10-14	Frem	L 0-2	40.8	1332	1586	14.57%	33.82%	51.61%	-1.02	-13.6	12
1990-10-14	@ Viborg	W 2-0	40.8	1586	1332	51.61%	33.82%	14.57%	+1.02	+13.6	26
1990-10-20	Brondby	D 0-0	61.1	1327	1779	5.92%	26.56%	67.51%	-2.05	+5.7	16
1990-10-20	@ Herfolge	D 0-0	61.1	1779	1327	67.51%	26.56%	5.92%	+2.05	-5.7	38
1990-10-21	Ikast	D 2-2	67.0	1506	1558	37.25%	36.69%	26.05%	+0.04	-0.6	23
1990-10-21	@ Aalborg	D 2-2	67.0	1558	1506	26.05%	36.69%	37.25%	-0.04	+0.6	26
1990-10-21	Aarhus GF	L 0-4	38.0	1317	1532	17.69%	34.84%	47.46%	-0.81	-30.1	13
1990-10-21	@ KB Copenhagen	W 4-0	38.0	1532	1317	47.46%	34.84%	17.69%	+0.81	+30.1	23
1990-10-21	Viborg	W 5-1	37.9	1591	1318	65.89%	28.84%	5.27%	+1.73	+8.2	23
1990-10-21	@ Lyngby	L 1-5	37.9	1318	1591	5.27%	28.84%	65.89%	-1.73	-8.2	12
1990-10-21	Frem	D 0-0	56.7	1463	1600	25.85%	36.24%	37.91%	-0.40	+0.9	20
1990-10-21	@ Naestved	D 0-0	56.7	1600	1463	37.91%	36.24%	25.85%	+0.40	-0.9	27
1990-10-21	B 1903	W 2-1	63.0	1566	1626	36.26%	36.70%	27.04%	+0.00	+10.8	26
1990-10-21	@ Silkeborg	L 1-2	63.0	1626	1566	27.04%	36.70%	36.26%	+0.00	-10.8	28
1990-10-21	Odense	D 1-1	63.8	1548	1589	38.70%	36.67%	24.64%	+0.10	-1.0	23
1990-10-21	@ Vejle BK	D 1-1	63.8	1589	1548	24.64%	36.67%	38.70%	-0.10	+1.0	24
1990-10-28	Herfolge	W 4-0	34.7	1562	1332	63.13%	30.51%	6.36%	+1.51	+12.3	25
1990-10-28	@ Aarhus GF	L 0-4	34.7	1332	1562	6.36%	30.51%	63.13%	-1.51	-12.3	16
1990-10-28	Vejle BK	W 4-2	57.9	1773	1547	62.93%	30.62%	6.45%	+1.49	+5.1	40
1990-10-28	@ Brondby	L 2-4	57.9	1547	1773	6.45%	30.62%	62.93%	-1.49	-5.1	23
1990-10-28	KB Copenhagen	D 3-3	67.8	1615	1287	69.28%	26.56%	4.16%	+2.02	-3.4	29
1990-10-28	@ B 1903	D 3-3	67.8	1287	1615	4.16%	26.56%	69.28%	-2.02	+3.4	14
1990-10-28	Aalborg	D 2-2	68.9	1599	1505	53.00%	34.77%	12.22%	+0.80	-2.4	28
1990-10-28	@ Frem	D 2-2	68.9	1505	1599	12.22%	34.77%	53.00%	-0.80	+2.4	24
1990-10-28	Silkeborg	W 1-0	54.4	1558	1577	41.46%	36.55%	21.99%	+0.21	+10.0	28
1990-10-28	@ Ikast	L 0-1	54.4	1577	1558	21.99%	36.55%	41.46%	-0.21	-10.0	26
1990-10-28	Lyngby	D 2-2	70.8	1590	1599	42.54%	36.48%	20.98%	+0.26	-1.1	25
1990-10-28	@ Odense	D 2-2	70.8	1599	1590	20.98%	36.48%	42.54%	-0.26	+1.1	24
1990-10-28	Naestved	L 1-2	48.8	1310	1464	23.90%	36.02%	40.08%	-0.49	-9.9	12
1990-10-28	@ Viborg	W 2-1	48.8	1464	1310	40.08%	36.02%	23.90%	+0.49	+9.9	22
1990-11-03	B 1903	D 2-2	74.8	1779	1612	58.77%	32.72%	8.52%	+1.18	-3.1	41
1990-11-03	@ Brondby	D 2-2	74.8	1612	1779	8.52%	32.72%	58.77%	-1.18	+3.1	30
1990-11-04	Viborg	W 2-0	35.1	1574	1300	65.99%	28.78%	5.23%	+1.74	+5.1	27
1990-11-04	@ Aarhus GF	L 0-2	35.1	1300	1574	5.23%	28.78%	65.99%	-1.74	-5.2	12
1990-11-04	Aalborg	D 3-3	62.9	1320	1507	20.29%	35.44%	44.27%	-0.67	+1.1	17
1990-11-04	@ Herfolge	D 3-3	62.9	1507	1320	44.27%	35.44%	20.29%	+0.67	-1.1	25
1990-11-04	Silkeborg	L 1-2	46.7	1290	1567	13.09%	33.16%	53.75%	-1.13	-6.2	14
1990-11-04	@ KB Copenhagen	W 2-1	46.7	1567	1290	53.75%	33.16%	13.09%	+1.13	+6.2	28
1990-11-04	Frem	W 3-0	50.7	1600	1597	44.07%	36.35%	19.58%	+0.33	+25.4	26
1990-11-04	@ Lyngby	L 0-3	50.7	1597	1600	19.58%	36.35%	44.07%	-0.33	-25.3	28
1990-11-04	Ikast	D 1-1	64.5	1588	1568	45.87%	36.15%	17.98%	+0.42	-2.1	26
1990-11-04	@ Odense	D 1-1	64.5	1568	1588	17.98%	36.15%	45.87%	-0.42	+2.1	29
1990-11-04	Naestved	W 2-1	53.1	1542	1474	50.67%	35.35%	13.99%	+0.67	+6.8	25
1990-11-04	@ Vejle BK	L 1-2	53.1	1474	1542	13.99%	35.35%	50.67%	-0.67	-6.8	22
1990-11-10	KB Copenhagen	W 3-1	42.2	1295	1284	44.86%	36.27%	18.87%	+0.37	+14.7	14
1990-11-10	@ Viborg	L 1-3	42.2	1284	1295	18.87%	36.27%	44.86%	-0.37	-14.7	14
1990-11-11	Vejle BK	D 1-1	61.1	1506	1548	38.58%	36.67%	24.75%	+0.09	-1.0	26
1990-11-11	@ Aalborg	D 1-1	61.1	1548	1506	24.75%	36.67%	38.58%	-0.09	+1.0	26
1990-11-11	Aarhus GF	D 1-1	65.5	1615	1580	47.47%	35.93%	16.60%	+0.50	-2.3	31
1990-11-11	@ B 1903	D 1-1	65.5	1580	1615	16.60%	35.93%	47.47%	-0.50	+2.3	28
1990-11-11	Odense	D 1-1	64.4	1571	1586	41.88%	36.52%	21.59%	+0.23	-1.5	29
1990-11-11	@ Frem	D 1-1	64.4	1586	1571	21.59%	36.52%	41.88%	-0.23	+1.4	27
1990-11-11	Brondby	D 0-0	63.3	1570	1775	18.60%	35.07%	46.33%	-0.76	+2.3	30
1990-11-11	@ Ikast	D 0-0	63.3	1775	1570	46.33%	35.07%	18.60%	+0.76	-2.3	42
1990-11-11	Lyngby	L 0-6	49.6	1467	1626	23.29%	35.94%	40.77%	-0.52	-54.1	22
1990-11-11	@ Naestved	W 6-0	49.6	1626	1467	40.77%	35.94%	23.29%	+0.52	+54.1	28
1990-11-11	Herfolge	W 1-0	39.0	1573	1321	64.58%	29.66%	5.77%	+1.63	+3.1	30
1990-11-11	@ Silkeborg	L 0-1	39.0	1321	1573	5.77%	29.66%	64.58%	-1.63	-3.1	17

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	1990-05-06	5.77%	KB Copenhagen	1331	1	@ Naestved	1583	0
2	1990-09-16	8.78%	KB Copenhagen	1262	6	@ Herfolge	1423	2
3	1990-04-29	9.08%	Ikast	1468	3	@ Lyngby	1621	2
4	1990-08-05	9.34%	Aalborg	1468	2	@ Aarhus GF	1615	0
5	1990-04-16	11.48%	B 1903	1518	4	@ Aarhus GF	1624	1
6	1990-04-01	11.97%	Silkeborg	1532	2	@ Lyngby	1630	1
7	1990-05-20	12.13%	Aalborg	1440	2	@ Naestved	1536	0
8	1990-04-15	12.81%	Frem	1528	2	@ Odense	1612	0
9	1990-10-14	13.10%	Vejle BK	1529	1	@ Lyngby	1610	0
10	1990-08-12	14.74%	Odense	1528	1	@ Silkeborg	1585	0
11	1990-09-23	17.47%	@ KB Copenhagen	1315	2	Vejle BK	1532	1
12	1990-09-15	18.73%	Silkeborg	1558	4	@ Vejle BK	1570	1
13	1990-05-20	19.08%	Silkeborg	1591	2	@ Frem	1600	1
14	1990-06-04	19.97%	@ Viborg	1381	2	Lyngby	1572	1
15	1990-09-02	20.02%	Frem	1573	2	@ Silkeborg	1572	1
16	1990-05-13	20.90%	Aarhus GF	1590	1	@ Lyngby	1581	0
17	1990-09-09	21.70%	Lyngby	1565	3	@ Aarhus GF	1549	1
18	1990-08-05	22.18%	@ Viborg	1389	2	Vejle BK	1558	1
19	1990-09-23	23.26%	Odense	1542	2	@ Aalborg	1512	1
20	1990-07-29	23.61%	@ Aalborg	1454	2	B 1903	1610	1
21	1990-04-22	25.53%	Brondby	1611	3	@ B 1903	1563	1
22	1990-04-29	25.75%	@ KB Copenhagen	1318	2	Aalborg	1456	1
23	1990-08-26	26.29%	Lyngby	1561	2	@ Ikast	1507	1
24	1990-09-23	27.17%	@ Ikast	1520	3	B 1903	1646	1
25	1990-04-22	27.65%	@ Ikast	1454	1	Odense	1577	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	1990-11-11	54.11	Lyngby	6	1626	40.77%	@ Naestved	0	1467	23.29%	35.94%
2	1990-09-16	52.20	KB Copenhagen	6	1262	8.78%	@ Herfolge	2	1423	58.30%	32.92%
3	1990-04-16	44.57	B 1903	4	1518	11.48%	@ Aarhus GF	1	1624	54.05%	34.47%
4	1990-08-05	38.36	Aalborg	2	1468	9.34%	@ Aarhus GF	0	1615	57.35%	33.31%
5	1990-05-13	38.14	Frem	5	1562	46.69%	@ KB Copenhagen	0	1354	18.31%	35.00%
6	1990-09-15	38.00	Silkeborg	4	1558	18.73%	@ Vejle BK	1	1570	45.02%	36.25%
7	1990-05-20	35.84	Aalborg	2	1440	12.13%	@ Naestved	0	1536	53.13%	34.74%
8	1990-05-13	35.77	Brondby	3	1647	30.32%	@ Odense	0	1564	33.02%	36.66%
9	1990-06-04	35.62	@ Ikast	4	1473	41.72%	Aalborg	0	1489	21.75%	36.53%
10	1990-04-15	35.28	Frem	2	1528	12.81%	@ Odense	0	1612	52.20%	34.98%
11	1990-10-21	30.14	Aarhus GF	4	1532	47.46%	@ KB Copenhagen	0	1317	17.69%	34.84%
12	1990-08-19	25.83	@ Vejle BK	3	1531	43.49%	Ikast	0	1532	20.11%	36.40%
13	1990-04-08	25.48	@ Naestved	2	1523	28.70%	Odense	0	1638	34.82%	36.47%
14	1990-11-04	25.35	@ Lyngby	3	1600	44.07%	Frem	0	1597	19.58%	36.35%
15	1990-09-09	25.29	Lyngby	3	1565	21.70%	@ Aarhus GF	1	1549	41.77%	36.53%
16	1990-05-13	25.21	@ Silkeborg	3	1566	44.25%	Naestved	0	1561	19.42%	36.33%
17	1990-04-22	23.43	Brondby	3	1611	25.53%	@ B 1903	1	1563	37.78%	36.69%
18	1990-08-12	23.11	Ikast	2	1509	33.50%	@ Viborg	0	1404	29.95%	36.55%
19	1990-09-23	22.76	@ Ikast	3	1520	27.17%	B 1903	1	1646	36.47%	36.36%
20	1990-05-06	22.36	KB Copenhagen	1	1331	5.77%	@ Naestved	0	1583	64.56%	29.67%
21	1990-05-06	21.80	@ B 1903	2	1542	36.03%	Lyngby	0	1603	27.26%	36.70%
22	1990-04-22	21.21	@ Naestved	2	1551	37.17%	Vejle BK	0	1604	26.14%	36.69%
23	1990-05-27	20.09	B 1903	3	1570	51.14%	@ KB Copenhagen	0	1320	14.91%	33.95%
24	1990-10-14	19.58	@ Aarhus GF	3	1512	34.44%	Silkeborg	1	1586	28.87%	36.69%
25	1990-06-04	19.47	@ B 1903	2	1590	40.45%	Silkeborg	0	1617	22.95%	36.60%

Most & Least Exciting Games

The season’s games ranked by excitement rating (0–100) — a blend of closeness, upset, team quality, and scoring. An asterisk (*) after the date indicates a playoff game.

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	1990-09-24	75.0	@ Brondby	2	1784	66.70%	Aalborg	2	1498	4.98%	28.32%
2	1990-11-03	74.8	@ Brondby	2	1779	58.77%	B 1903	2	1612	8.52%	32.72%
3	1990-04-29	73.0	Ikast	3	1468	9.08%	@ Lyngby	2	1621	57.78%	33.14%
4	1990-07-29	71.3	@ Silkeborg	2	1598	41.73%	Aarhus GF	2	1614	21.74%	36.53%
5	1990-04-16	70.8	@ Lyngby	2	1623	51.26%	Naestved	2	1548	13.53%	35.21%
6	1990-10-28	70.8	@ Odense	2	1590	42.54%	Lyngby	2	1599	20.98%	36.48%
7	1990-09-23	70.7	@ Silkeborg	2	1596	44.54%	Lyngby	2	1588	19.16%	36.30%
8	1990-04-08	69.7	@ Silkeborg	2	1550	37.77%	Vejle BK	2	1598	25.55%	36.69%
9	1990-05-13	69.7	@ Vejle BK	2	1580	45.53%	B 1903	2	1563	18.28%	36.19%
10	1990-04-01	69.6	Silkeborg	2	1532	11.97%	@ Lyngby	1	1630	53.36%	34.67%
11	1990-08-26	69.4	@ Frem	2	1574	45.61%	Vejle BK	2	1557	18.21%	36.18%
12	1990-10-28	68.9	@ Frem	2	1599	53.00%	Aalborg	2	1505	12.22%	34.77%
13	1990-05-06	68.8	@ Frem	3	1564	56.62%	Herfolge	3	1426	9.78%	33.59%
14	1990-09-15	68.7	@ Lyngby	2	1590	51.79%	Aalborg	2	1510	13.12%	35.09%
15	1990-10-07	68.3	@ Silkeborg	1	1584	19.42%	Brondby	1	1780	45.31%	35.26%
16	1990-05-20	68.2	Silkeborg	2	1591	19.08%	@ Frem	1	1600	44.63%	36.29%
17	1990-09-02	68.1	Brondby	3	1746	42.43%	@ Lyngby	2	1574	21.84%	35.72%
18	1990-10-28	67.8	@ B 1903	3	1615	69.28%	KB Copenhagen	3	1287	4.16%	26.56%
19	1990-10-21	67.0	@ Aalborg	2	1506	37.25%	Ikast	2	1558	26.05%	36.69%
20	1990-09-02	66.7	Frem	2	1573	20.02%	@ Silkeborg	1	1572	43.59%	36.39%
21	1990-04-29	66.2	@ Brondby	1	1634	48.36%	Aarhus GF	1	1590	15.85%	35.79%
22	1990-09-30	65.7	@ B 1903	1	1624	48.79%	Frem	1	1575	15.49%	35.72%
23	1990-11-11	65.5	@ B 1903	1	1615	47.47%	Aarhus GF	1	1580	16.60%	35.93%
24	1990-08-12	65.3	@ Naestved	3	1485	31.85%	Aarhus GF	2	1577	31.52%	36.63%
25	1990-04-01	65.2	@ B 1903	2	1533	49.88%	Ikast	2	1473	14.61%	35.51%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	1990-08-05	32.5	@ Odense	4	1515	62.50%	KB Copenhagen	0	1294	6.64%	30.86%
2	1990-04-22	34.5	@ Silkeborg	4	1549	62.33%	KB Copenhagen	0	1331	6.72%	30.95%
3	1990-10-28	34.7	@ Aarhus GF	4	1562	63.13%	Herfolge	0	1332	6.36%	30.51%
4	1990-11-04	35.1	@ Aarhus GF	2	1574	65.99%	Viborg	0	1300	5.23%	28.78%
5	1990-10-07	36.5	@ Vejle BK	2	1521	59.78%	Viborg	0	1340	7.97%	32.25%
6	1990-09-29	36.8	@ Lyngby	2	1590	65.01%	KB Copenhagen	0	1331	5.60%	29.39%
7	1990-04-01	37.2	@ Vejle BK	2	1592	64.83%	KB Copenhagen	0	1336	5.67%	29.50%
8	1990-10-14	37.9	@ Odense	7	1574	63.33%	Herfolge	1	1341	6.28%	30.39%
9	1990-10-21	37.9	@ Lyngby	5	1591	65.89%	Viborg	1	1318	5.27%	28.84%
10	1990-10-21	38.0	Aarhus GF	4	1532	47.46%	@ KB Copenhagen	0	1317	17.69%	34.84%
11	1990-08-19	38.3	Naestved	2	1496	47.18%	@ KB Copenhagen	0	1284	17.91%	34.90%
12	1990-05-27	38.4	B 1903	3	1570	51.14%	@ KB Copenhagen	0	1320	14.91%	33.95%
13	1990-06-04	38.5	@ Aarhus GF	1	1612	68.30%	KB Copenhagen	0	1300	4.45%	27.24%
14	1990-09-16	38.9	@ B 1903	7	1629	65.75%	Viborg	0	1359	5.32%	28.93%
15	1990-11-11	39.0	@ Silkeborg	1	1573	64.58%	Herfolge	0	1321	5.77%	29.66%
16	1990-09-30	39.1	@ Ikast	5	1542	60.43%	Viborg	1	1352	7.63%	31.94%
17	1990-05-13	40.8	Frem	5	1562	46.69%	@ KB Copenhagen	0	1354	18.31%	35.00%
18	1990-10-14	40.8	Frem	2	1586	51.61%	@ Viborg	0	1332	14.57%	33.82%
19	1990-08-26	41.8	@ Aalborg	2	1485	62.30%	KB Copenhagen	1	1268	6.73%	30.97%
20	1990-09-23	42.1	@ Viborg	1	1342	40.25%	Herfolge	0	1371	23.14%	36.61%
21	1990-11-10	42.2	@ Viborg	3	1295	44.86%	KB Copenhagen	1	1284	18.87%	36.27%
22	1990-06-04	42.4	@ Brondby	4	1693	64.88%	Herfolge	0	1436	5.65%	29.47%
23	1990-10-07	42.4	Lyngby	2	1595	50.07%	@ Herfolge	0	1356	15.69%	34.23%
24	1990-10-14	42.6	@ Brondby	1	1778	76.60%	KB Copenhagen	0	1318	2.37%	21.03%
25	1990-07-29	42.9	Brondby	1	1704	64.27%	@ KB Copenhagen	0	1298	7.25%	28.48%