1988 1st Division Season

182 games

Final

Champion

Brondby

40 points · 3rd Title

Last Title: 1987

Relegated

KB Copenhagen

8 pts

Randers · 8 pts

Biggest Overachiever

Herfolge

7.55 points above expected

29 points · 21.45 expected points

Biggest Disappointment

KB Copenhagen

7.93 points below expected

8 points · 15.93 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	6	3	40	57	22	+35	37.53	+2.47
2	Naestved	26	13	9	4	35	41	26	+15	31.17	+3.83
3	Lyngby	26	15	5	6	35	41	27	+14	30.45	+4.55
4	B 1903	26	12	8	6	32	44	27	+17	27.23	+4.77
5	Vejle BK	26	10	10	6	30	36	24	+12	29.43	+0.57
6	Odense	26	12	5	9	29	47	36	+11	28.96	+0.04
7	Herfolge	26	11	7	8	29	30	30	0	21.45	+7.55
8	Aarhus GF	26	11	6	9	28	37	29	+8	28.90	-0.90
9	Silkeborg	26	11	4	11	26	39	35	+4	27.51	-1.51
10	Ikast	26	8	6	12	22	35	39	-4	27.80	-5.80
11	Aalborg	26	8	6	12	22	33	50	-17	20.39	+1.61
12	Bronshoj	26	8	4	14	20	38	48	-10	23.34	-3.34
13	KB Copenhagen Relegated	26	3	2	21	8	27	66	-39	15.93	-7.93
14	Randers Relegated	26	2	4	20	8	28	74	-46	13.91	-5.91

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	Herfolge	29	21.45	+7.55
2	B 1903	32	27.23	+4.77
3	Lyngby	35	30.45	+4.55
4	Naestved	35	31.17	+3.83
5	Brondby	40	37.53	+2.47

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	KB Copenhagen	8	15.93	-7.93
2	Randers	8	13.91	-5.91
3	Ikast	22	27.80	-5.80
4	Bronshoj	20	23.34	-3.34
5	Silkeborg	26	27.51	-1.51

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	Lyngby	6	Apr 10 – May 15	1 in 125
2	Ikast	2	Oct 2 – Oct 9	1 in 28
3	Aarhus GF	4	Sep 4 – Oct 9	1 in 26
4	B 1903	4	Aug 28 – Oct 2	1 in 23
5	Bronshoj	3	Sep 11 – Oct 9	1 in 23

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Ikast	6	Aug 7 – Sep 25	1 in 585
2	KB Copenhagen	8	Aug 14 – Oct 16	1 in 46
3	Randers	8	Aug 7 – Oct 9	1 in 43
4	Herfolge	5	Sep 4 – Oct 16	1 in 41
5	Odense	3	Sep 11 – Oct 9	1 in 31

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	B 1903	10	Aug 28 – Nov 13	1 in 57
2	Naestved	11	May 29 – Oct 2	1 in 48
3	Herfolge	5	May 23 – Jul 24	1 in 44
4	Aalborg	4	May 26 – Jul 24	1 in 18
5	Lyngby	7	Apr 3 – May 15	1 in 16

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	B 1903	7	May 9 – Jul 27	1 in 36
2	Vejle BK	5	May 29 – Aug 7	1 in 27
3	Lyngby	5	Jul 17 – Aug 14	1 in 24
4	Ikast	6	Aug 7 – Sep 25	1 in 24
5	Randers	19	May 23 – Nov 13	1 in 20

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	1698	40	+18	7	7.1	-0.1
Naestved	1561	35	+29	8	6.5	+1.5
Lyngby	1520	35	+28	7	6.3	+0.7
B 1903	1564	32	+41	8	6.0	+2.0
Vejle BK	1520	30	+1	5	4.9	+0.1
Herfolge	1396	29	+22	6	3.4	+2.6
Odense	1472	29	+15	6	5.8	+0.2
Aarhus GF	1540	28	+8	5	5.8	-0.8
Silkeborg	1471	26	-21	3	4.9	-1.9
Ikast	1464	22	-22	5	6.0	-1.0
Aalborg	1349	22	-28	4	4.0	+0.0
Bronshoj	1436	20	-17	4	4.9	-0.9
KB Copenhagen	1210	8	-37	1	2.5	-1.5
Randers	1154	8	-36	1	2.0	-1.0

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	BRO	HER	IKA	KC	LYN	NAE	ODE	RAN	SIL	VB
Aalborg	—	0-1-1 1.87	0-1-1 1.78	0-0-2 1.10	1-0-1 2.50	1-0-1 2.61	1-0-1 1.85	1-1-0 3.26	1-0-1 1.66	0-1-1 1.69	0-1-1 1.80	1-0-1 3.79	1-1-0 1.96	1-0-1 1.59
Aarhus GF	1-1-0 3.66	—	0-2-0 2.90	1-0-1 1.75	2-0-0 3.34	1-0-1 3.94	1-1-0 2.97	2-0-0 4.03	0-0-2 2.60	0-1-1 2.58	0-0-2 2.70	2-0-0 4.42	1-0-1 2.92	0-1-1 2.67
B 1903	1-1-0 3.76	0-2-0 2.62	—	0-2-0 1.64	1-1-0 3.32	2-0-0 3.37	1-0-1 2.77	2-0-0 4.02	1-0-1 2.26	1-0-1 2.25	0-1-1 2.43	2-0-0 4.20	1-0-1 2.80	0-1-1 2.75
Brondby	2-0-0 4.46	1-0-1 3.78	0-2-0 3.89	—	2-0-0 4.29	1-1-0 4.31	2-0-0 3.90	2-0-0 4.62	2-0-0 3.38	0-1-1 3.85	2-0-0 3.96	2-0-0 4.79	1-0-1 4.00	0-2-0 3.83
Bronshoj	1-0-1 3.02	0-0-2 2.19	0-1-1 2.21	0-0-2 1.26	—	0-1-1 3.06	2-0-0 2.09	1-0-1 3.75	1-0-1 2.09	0-0-2 1.90	1-0-1 1.93	0-2-0 4.05	2-0-0 2.06	0-0-2 1.85
Herfolge	1-0-1 2.91	1-0-1 1.60	0-0-2 2.16	0-1-1 1.24	1-1-0 2.47	—	1-1-0 1.78	2-0-0 3.32	0-1-1 1.75	1-1-0 1.60	1-1-0 1.97	2-0-0 3.88	0-0-2 2.16	1-1-0 1.72
Ikast	1-0-1 3.68	0-1-1 2.55	1-0-1 2.76	0-0-2 1.64	0-0-2 3.44	0-1-1 3.75	—	2-0-0 4.08	0-2-0 2.52	1-1-0 2.28	2-0-0 2.46	1-1-0 4.43	0-0-2 3.11	0-0-2 2.63
KB Copenhagen	0-1-1 2.27	0-0-2 1.51	0-0-2 1.52	0-0-2 0.95	1-0-1 1.78	0-0-2 2.21	0-0-2 1.46	—	0-0-2 1.22	0-1-1 1.22	0-0-2 1.41	2-0-0 3.07	0-0-2 1.69	0-0-2 1.85
Lyngby	1-0-1 3.88	2-0-0 2.93	1-0-1 3.26	0-0-2 2.15	1-0-1 3.44	1-1-0 3.78	0-2-0 3.00	2-0-0 4.33	—	0-1-1 2.74	1-1-0 2.92	2-0-0 4.56	2-0-0 3.22	2-0-0 2.73
Naestved	1-1-0 3.84	1-1-0 2.95	1-0-1 3.27	1-1-0 1.68	2-0-0 3.63	0-1-1 3.94	0-1-1 3.25	1-1-0 4.33	1-1-0 2.79	—	1-0-1 3.02	2-0-0 4.45	2-0-0 3.05	0-2-0 2.94
Odense	1-1-0 3.74	2-0-0 2.82	1-1-0 3.09	0-0-2 1.58	1-0-1 3.60	0-1-1 3.56	0-0-2 3.07	2-0-0 4.13	0-1-1 2.61	1-0-1 2.50	—	2-0-0 4.39	1-0-1 2.82	1-1-0 2.70
Randers	1-0-1 1.74	0-0-2 1.14	0-0-2 1.36	0-0-2 0.80	0-2-0 1.49	0-0-2 1.65	0-1-1 1.12	0-0-2 2.46	0-0-2 1.01	0-0-2 1.11	0-0-2 1.16	—	0-1-1 1.28	1-0-1 1.22
Silkeborg	0-1-1 3.57	1-0-1 2.60	1-0-1 2.72	1-0-1 1.54	0-0-2 3.46	2-0-0 3.37	2-0-0 2.42	2-0-0 3.84	0-0-2 2.31	0-0-2 2.48	1-0-1 2.71	1-1-0 4.27	—	0-2-0 2.42
Vejle BK	1-0-1 3.95	1-1-0 2.85	1-1-0 2.77	0-2-0 1.71	2-0-0 3.68	0-1-1 3.82	2-0-0 2.90	2-0-0 3.68	0-0-2 2.79	0-2-0 2.58	0-1-1 2.83	1-0-1 4.33	0-2-0 3.10	—

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	0.61	+9.2
Allowed	0.91	-5.6
Differential	0.95	+4.2

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	8.79%	7.69%	5.22%	4.40%	1.65%	0.55%	28.30%
1	7.69%	8.79%	8.24%	3.30%	1.37%	1.92%	31.32%
2	5.22%	8.24%	4.40%	1.10%	1.10%	0.82%	20.88%
3	4.40%	3.30%	1.10%	0.55%	0.55%	0.55%	10.44%
4	1.65%	1.37%	1.10%	0.55%	—	0.27%	4.95%
5+	0.55%	1.92%	0.82%	0.55%	0.27%	—	4.12%
Total	28.30%	31.32%	20.88%	10.44%	4.95%	4.12%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.46	1.46	+0.00
SD	1.40	1.40	2.02
CV	0.96	0.96	—
Max	7	7	+6
Min	0	0	-6

Games Played: 182

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.27	1.92	-0.65
SD	1.37	1.65	2.00
CV	1.08	0.86	—
Max	5	6	+3
Min	0	0	-5

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	11.54%	15.38%	3.85%	—	3.85%	—	34.62%
1	7.69%	3.85%	7.69%	—	—	—	19.23%
2	11.54%	3.85%	7.69%	3.85%	—	—	26.92%
3	3.85%	3.85%	3.85%	—	—	—	11.54%
4	—	—	3.85%	—	—	—	3.85%
5+	—	3.85%	—	—	—	—	3.85%
Total	34.62%	30.77%	26.92%	3.85%	3.85%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.42	1.12	+0.31
SD	1.39	1.07	1.72
CV	0.98	0.96	—
Max	5	4	+4
Min	0	0	-4

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.85%	3.85%	15.38%	—	—	—	23.08%
1	11.54%	15.38%	3.85%	—	—	—	30.77%
2	11.54%	3.85%	11.54%	—	—	—	26.92%
3	—	3.85%	—	—	—	—	3.85%
4	3.85%	—	—	3.85%	—	—	7.69%
5+	3.85%	3.85%	—	—	—	—	7.69%
Total	34.62%	30.77%	30.77%	3.85%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.69	1.04	+0.65
SD	1.59	0.92	1.94
CV	0.94	0.88	—
Max	6	3	+5
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	3.85%	11.54%	—	3.85%	—	—	19.23%
3	7.69%	7.69%	—	—	—	3.85%	19.23%
4	7.69%	3.85%	3.85%	—	—	—	15.38%
5+	—	3.85%	3.85%	—	—	—	7.69%
Total	46.15%	38.46%	7.69%	3.85%	—	3.85%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.19	0.85	+1.35
SD	1.67	1.16	1.70
CV	0.76	1.37	—
Max	6	5	+4
Min	0	0	-2

Games Played: 26

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.46	1.85	-0.38
SD	1.33	1.38	2.04
CV	0.91	0.75	—
Max	5	5	+3
Min	0	0	-4

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	7.69%	7.69%	7.69%	—	—	3.85%	26.92%
1	11.54%	19.23%	7.69%	—	—	—	38.46%
2	7.69%	15.38%	—	—	3.85%	—	26.92%
3	3.85%	—	3.85%	—	—	—	7.69%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	30.77%	42.31%	19.23%	—	3.85%	3.85%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.15	1.15	+0.00
SD	0.92	1.22	1.62
CV	0.80	1.06	—
Max	3	5	+3
Min	0	0	-5

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	19.23%	7.69%	3.85%	11.54%	3.85%	—	46.15%
1	—	3.85%	7.69%	3.85%	3.85%	—	19.23%
2	7.69%	3.85%	—	—	—	—	11.54%
3	3.85%	—	—	—	—	—	3.85%
4	7.69%	3.85%	—	—	—	3.85%	15.38%
5+	—	—	—	3.85%	—	—	3.85%
Total	38.46%	19.23%	11.54%	19.23%	7.69%	3.85%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.35	1.50	-0.15
SD	1.65	1.56	2.26
CV	1.22	1.04	—
Max	5	5	+4
Min	0	0	-4

Games Played: 26

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.04	2.54	-1.50
SD	0.96	1.33	1.63
CV	0.92	0.53	—
Max	3	6	+2
Min	0	1	-5

Games Played: 26

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.58	1.04	+0.54
SD	1.65	1.56	2.34
CV	1.05	1.50	—
Max	7	6	+6
Min	0	0	-5

Games Played: 26

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.58	1.00	+0.58
SD	1.45	1.10	1.58
CV	0.92	1.10	—
Max	5	4	+3
Min	0	0	-4

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.85%	—	7.69%	—	3.85%	—	15.38%
1	7.69%	3.85%	15.38%	7.69%	—	—	34.62%
2	3.85%	15.38%	11.54%	—	—	—	30.77%
3	3.85%	—	—	—	—	—	3.85%
4	3.85%	3.85%	—	—	—	—	7.69%
5+	—	7.69%	—	—	—	—	7.69%
Total	23.08%	30.77%	34.62%	7.69%	3.85%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.81	1.38	+0.42
SD	1.52	1.06	2.16
CV	0.84	0.77	—
Max	6	4	+5
Min	0	0	-4

Games Played: 26

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.08	2.85	-1.77
SD	1.06	1.76	1.90
CV	0.98	0.62	—
Max	3	7	+3
Min	0	0	-6

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	19.23%	—	3.85%	—	—	23.08%
1	11.54%	11.54%	15.38%	—	3.85%	—	42.31%
2	—	11.54%	—	—	—	—	11.54%
3	—	7.69%	—	3.85%	—	—	11.54%
4	—	3.85%	—	3.85%	—	—	7.69%
5+	3.85%	—	—	—	—	—	3.85%
Total	15.38%	53.85%	15.38%	11.54%	3.85%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.50	1.35	+0.15
SD	1.39	1.02	1.74
CV	0.93	0.76	—
Max	5	4	+5
Min	0	0	-3

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	15.38%	11.54%	—	3.85%	—	—	30.77%
1	3.85%	15.38%	7.69%	—	—	—	26.92%
2	7.69%	3.85%	7.69%	—	—	—	19.23%
3	11.54%	3.85%	3.85%	—	—	—	19.23%
4	—	—	3.85%	—	—	—	3.85%
5+	—	—	—	—	—	—	—
Total	38.46%	34.62%	23.08%	3.85%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.38	0.92	+0.46
SD	1.24	0.89	1.48
CV	0.89	0.97	—
Max	4	3	+3
Min	0	0	-3

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	1698	40	37.53	+2.47	79.0%	23	31	35	38	40	44	46
B 1903	1564	32	27.23	+4.77	87.0%	16	18	24	27	30	35	39
Naestved	1561	35	31.17	+3.83	82.0%	18	23	28	31	34	37	39
Aarhus GF	1540	28	28.90	-0.90	45.0%	19	22	26	29	31	35	39
Vejle BK	1520	30	29.43	+0.57	63.0%	19	24	26	29	32	37	39
Lyngby	1520	35	30.45	+4.55	91.0%	19	23	28	30	33	37	39
Odense	1472	29	28.96	+0.04	57.0%	19	22	26	29	32	36	40
Silkeborg	1471	26	27.51	-1.51	42.0%	17	20	25	28	31	34	37
Ikast	1464	22	27.80	-5.80	7.0%	13	22	25	28	30	34	38
Bronshoj	1436	20	23.34	-3.34	23.0%	14	16	21	23	26	30	34
Herfolge	1396	29	21.45	+7.55	95.0%	12	16	18	21	23	29	36
Aalborg	1349	22	20.39	+1.61	70.0%	7	14	18	20	23	28	32
KB Copenhagen	1210	8	15.93	-7.93	0.0%	9	10	13	16	19	22	24
Randers	1154	8	13.91	-5.91	3.0%	8	9	11	14	16	19	21

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

+6.04%

No Edge

41.76%22.53%35.71%

Elo Value

Home Edge: 21.02 Elo pts.

168 Elo

0.006 goals per Elo point

0500

Scoring Tilt

Expected

+0.15 goals

Neutral

-2+0.12+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

1.9

One-Team Race

134610

Champion Preseason Odds

71%

Brondby, 1st of 14

LongshotFavorite

Title Margin

Expected

0.19/gm

Comfortable

00.150.5/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 3.34 * Some Luck: 3.34 to 5.01 * Lucky: 5.01 to 6.68 * Wild Swing: 6.68 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 1.55 * Close: 1.55 to 2.32 * Off: 2.32 to 3.09 * Way Off: 3.09 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 0.5 * A Surprise: 0.5 to 0.8 * Several Surprises: 0.8 to 1.1 * Many Surprises: 1.1 and up.

Luck Spread

Expected

4.39 points

Some Luck

04.1810

Average Finish Error

Expected

1.43

Pinpoint

01.934

Biggest Overachiever

Expected 96.43%

95.00%

Herfolge

50100

Biggest Underachiever

Expected 3.57%

0.00%

KB Copenhagen

050

Season Outliers

Expected

2 of 14

Minimal Outliers

01.47

Unexpected Relegations

Expected

0 of 2

As Expected

00.52

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

0.19

Lopsided

00.120.5

Noll-Scully

Elo SD: 142.58

2.09

Wide Separation

0.651.351.61.92.5

Interquartile Edge

68%

Clear Edge

50%59%69%100%

Best vs. Worst

Baseline 95%

96%

Dominant

50%100%

Close Games

Expected

58%

Frequent

0%54%100%

Blowouts

Expected

21%

Frequent

0%22%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

0.58

Predictable

00.592

Matchup Imbalance

0.38

Lopsided

00.280.370.5

Strangeness

Expected

1.21

Wilder Than Modeled

01.002

Repeatability

0.60

Strong Carryover

00.30.50.631

Upset Rate

Expected

26%

As Expected

0%24%50%

Clear Favorite Upset Rate

Expected

22%

As Expected

0%20%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 0.19 * Above Noise: 0.19 to 0.26 * Well Above Noise: 0.26 and up.

Probability calibration

0.61

Excellent

0.010.050.10.51

Calibration slope

Ideal

1.04

Calibrated

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.076

Well Within Noise

00.1290.3

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	71.00%	17.00%	6.00%	1.00%	3.00%	—	1.00%	—	—	1.00%	—	—	—	—
Naestved	9.00%	24.00%	14.00%	13.00%	10.00%	10.00%	4.00%	5.00%	5.00%	5.00%	—	1.00%	—	—
Lyngby	4.00%	12.00%	20.00%	14.00%	18.00%	8.00%	10.00%	2.00%	5.00%	5.00%	1.00%	—	1.00%	—
B 1903	5.00%	8.00%	5.00%	9.00%	8.00%	12.00%	11.00%	12.00%	12.00%	4.00%	7.00%	4.00%	3.00%	—
Vejle BK	6.00%	7.00%	14.00%	11.00%	8.00%	14.00%	18.00%	12.00%	4.00%	3.00%	2.00%	—	1.00%	—
Odense	2.00%	10.00%	14.00%	9.00%	13.00%	11.00%	12.00%	12.00%	9.00%	6.00%	1.00%	1.00%	—	—
Herfolge	—	3.00%	—	1.00%	4.00%	4.00%	2.00%	4.00%	8.00%	15.00%	26.00%	20.00%	12.00%	1.00%
Aarhus GF	2.00%	9.00%	13.00%	15.00%	8.00%	14.00%	11.00%	11.00%	10.00%	3.00%	2.00%	2.00%	—	—
Silkeborg	—	4.00%	8.00%	16.00%	11.00%	5.00%	8.00%	15.00%	13.00%	9.00%	8.00%	2.00%	1.00%	—
Ikast	1.00%	5.00%	5.00%	5.00%	14.00%	16.00%	15.00%	13.00%	10.00%	9.00%	3.00%	2.00%	1.00%	1.00%
Aalborg	—	—	—	—	1.00%	2.00%	4.00%	6.00%	7.00%	14.00%	20.00%	25.00%	19.00%	2.00%
Bronshoj	—	1.00%	1.00%	6.00%	2.00%	4.00%	4.00%	8.00%	14.00%	23.00%	21.00%	11.00%	3.00%	2.00%
KB Copenhagen	—	—	—	—	—	—	—	—	3.00%	3.00%	6.00%	20.00%	37.00%	31.00%
Randers	—	—	—	—	—	—	—	—	—	—	3.00%	12.00%	22.00%	63.00%

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	Direct relegation
Aarhus GF	100%	—
Brondby	100%	—
Naestved	100%	—
Odense	100%	—
Lyngby	99.00%	1.00%
Silkeborg	99.00%	1.00%
Vejle BK	99.00%	1.00%
Ikast	98.00%	2.00%
B 1903	97.00%	3.00%
Bronshoj	95.00%	5.00%
Herfolge	87.00%	13.00%
Aalborg	79.00%	21.00%
KB Copenhagen	32.00%	68.00%
Randers	15.00%	85.00%

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
1988-04-03	Herfolge	L 1-2	59.9	1543	1324	65.34%	22.52%	12.14%	+1.43	-17.8	0
1988-04-03	@ Aarhus GF	W 2-1	59.9	1324	1543	12.14%	22.52%	65.34%	-1.43	+17.8	2
1988-04-03	KB Copenhagen	L 1-2	55.1	1451	1383	51.23%	23.69%	25.08%	+0.53	-14.1	0
1988-04-03	@ Bronshoj	W 2-1	55.1	1383	1451	25.08%	23.69%	51.23%	-0.53	+14.1	2
1988-04-03	Brondby	D 0-0	61.4	1452	1602	23.14%	23.49%	53.38%	-0.76	+2.2	1
1988-04-03	@ B 1903	D 0-0	61.4	1602	1452	53.38%	23.49%	23.14%	+0.76	-2.2	1
1988-04-03	Ikast	D 0-0	60.5	1501	1532	38.12%	23.89%	38.00%	-0.06	+0.0	1
1988-04-03	@ Naestved	D 0-0	60.5	1532	1501	38.00%	23.89%	38.12%	+0.06	+0.0	1
1988-04-03	Lyngby	D 2-2	67.0	1470	1492	39.41%	23.89%	36.71%	-0.01	-0.1	1
1988-04-03	@ Odense	D 2-2	67.0	1492	1470	36.71%	23.89%	39.41%	+0.01	+0.1	1
1988-04-03	Aalborg	D 1-1	58.5	1460	1398	50.48%	23.72%	25.80%	+0.49	-1.6	1
1988-04-03	@ Silkeborg	D 1-1	58.5	1398	1460	25.80%	23.72%	50.48%	-0.49	+1.6	1
1988-04-03	Randers	L 1-2	56.4	1463	1284	62.24%	22.93%	14.83%	+1.19	-17.0	0
1988-04-03	@ Vejle BK	W 2-1	56.4	1284	1463	14.83%	22.93%	62.24%	-1.19	+17.0	2
1988-04-10	Naestved	D 1-1	59.8	1400	1501	28.72%	23.73%	47.54%	-0.48	+1.2	2
1988-04-10	@ Aalborg	D 1-1	59.8	1501	1400	47.54%	23.73%	28.72%	+0.48	-1.2	2
1988-04-10	Aarhus GF	W 1-0	52.2	1599	1525	51.94%	23.66%	24.39%	+0.57	+8.2	3
1988-04-10	@ Brondby	L 0-1	52.2	1525	1599	24.39%	23.66%	51.94%	-0.57	-8.2	0
1988-04-10	Silkeborg	L 1-2	47.0	1341	1459	26.77%	23.66%	49.57%	-0.57	-8.3	2
1988-04-10	@ Herfolge	W 2-1	47.0	1459	1341	49.57%	23.66%	26.77%	+0.57	+8.4	3
1988-04-10	Odense	W 2-0	44.9	1532	1470	50.43%	23.72%	25.85%	+0.49	+16.2	3
1988-04-10	@ Ikast	L 0-2	44.9	1470	1532	25.85%	23.72%	50.43%	-0.49	-16.2	1
1988-04-10	Vejle BK	L 0-3	40.1	1397	1446	35.52%	23.87%	40.61%	-0.17	-30.3	2
1988-04-10	@ KB Copenhagen	W 3-0	40.1	1446	1397	40.61%	23.87%	35.52%	+0.17	+30.3	2
1988-04-10	Bronshoj	W 1-0	45.9	1492	1437	49.65%	23.75%	26.60%	+0.45	+8.8	3
1988-04-10	@ Lyngby	L 0-1	45.9	1437	1492	26.60%	23.75%	49.65%	-0.45	-8.8	0
1988-04-10	B 1903	L 0-4	33.3	1301	1454	22.80%	23.47%	53.73%	-0.78	-27.8	2
1988-04-10	@ Randers	W 4-0	33.3	1454	1301	53.73%	23.47%	22.80%	+0.78	+27.8	3
1988-04-17	Randers	W 2-1	41.5	1517	1274	66.98%	22.25%	10.77%	+1.57	+3.8	2
1988-04-17	@ Aarhus GF	L 1-2	41.5	1274	1517	10.77%	22.25%	66.98%	-1.57	-3.8	2
1988-04-17	Ikast	W 2-1	59.4	1428	1548	26.49%	23.65%	49.86%	-0.59	+13.7	2
1988-04-17	@ Bronshoj	L 1-2	59.4	1548	1428	49.86%	23.65%	26.49%	+0.59	-13.7	3
1988-04-17	KB Copenhagen	W 2-0	38.0	1482	1367	56.38%	23.44%	20.19%	+0.81	+13.2	5
1988-04-17	@ B 1903	L 0-2	38.0	1367	1482	20.19%	23.44%	56.38%	-0.81	-13.2	2
1988-04-17	Aalborg	W 1-0	45.9	1333	1401	33.00%	23.83%	43.16%	-0.28	+12.9	4
1988-04-17	@ Herfolge	L 0-1	45.9	1401	1333	43.16%	23.83%	33.00%	+0.28	-12.9	2
1988-04-17	Naestved	W 2-1	55.6	1454	1499	36.06%	23.87%	40.07%	-0.15	+11.5	3
1988-04-17	@ Odense	L 1-2	55.6	1499	1454	40.07%	23.87%	36.06%	+0.15	-11.5	2
1988-04-17	Brondby	W 1-0	58.9	1467	1608	24.10%	23.54%	52.37%	-0.71	+15.2	5
1988-04-17	@ Silkeborg	L 0-1	58.9	1608	1467	52.37%	23.54%	24.10%	+0.71	-15.2	3
1988-04-17	Lyngby	L 0-1	51.5	1477	1501	39.06%	23.89%	37.05%	-0.02	-11.9	2
1988-04-17	@ Vejle BK	W 1-0	51.5	1501	1477	37.05%	23.89%	39.06%	+0.02	+11.9	5
1988-04-24	Odense	L 0-2	41.7	1388	1465	31.74%	23.81%	44.45%	-0.33	-19.1	2
1988-04-24	@ Aalborg	W 2-0	41.7	1465	1388	44.45%	23.81%	31.74%	+0.33	+19.1	5
1988-04-24	Herfolge	D 1-1	61.6	1592	1346	67.21%	22.21%	10.58%	+1.59	-4.0	4
1988-04-24	@ Brondby	D 1-1	61.6	1346	1592	10.58%	22.21%	67.21%	-1.59	+4.0	5
1988-04-24	Vejle BK	L 0-3	50.1	1534	1465	51.35%	23.69%	24.96%	+0.54	-41.0	3
1988-04-24	@ Ikast	W 3-0	50.1	1465	1534	24.96%	23.69%	51.35%	-0.54	+41.0	4
1988-04-24	Aarhus GF	L 0-1	42.4	1353	1520	21.36%	23.37%	55.27%	-0.87	-7.3	2
1988-04-24	@ KB Copenhagen	W 1-0	42.4	1520	1353	55.27%	23.37%	21.36%	+0.87	+7.3	4
1988-04-24	B 1903	W 2-0	46.8	1513	1495	44.92%	23.85%	31.23%	+0.23	+18.9	7
1988-04-24	@ Lyngby	L 0-2	46.8	1495	1513	31.23%	23.85%	44.92%	-0.23	-18.9	5
1988-04-24	Bronshoj	W 3-0	40.5	1488	1442	48.50%	23.78%	27.72%	+0.40	+25.0	4
1988-04-24	@ Naestved	L 0-3	40.5	1442	1488	27.72%	23.78%	48.50%	-0.40	-25.0	2
1988-04-24	Silkeborg	D 3-3	65.3	1270	1482	17.22%	23.01%	59.77%	-1.14	+1.8	3
1988-04-24	@ Randers	D 3-3	65.3	1482	1270	59.77%	23.01%	17.22%	+1.14	-1.8	6
1988-05-01	Lyngby	L 0-1	55.3	1528	1532	41.89%	23.88%	34.22%	+0.10	-12.6	4
1988-05-01	@ Aarhus GF	W 1-0	55.3	1532	1528	34.22%	23.88%	41.89%	-0.10	+12.6	9
1988-05-01	Aalborg	W 2-0	38.8	1588	1369	65.37%	22.52%	12.11%	+1.43	+8.4	6
1988-05-01	@ Brondby	L 0-2	38.8	1369	1588	12.11%	22.52%	65.37%	-1.43	-8.4	2
1988-05-01	Odense	W 3-1	51.6	1417	1484	33.08%	23.84%	43.09%	-0.27	+21.0	4
1988-05-01	@ Bronshoj	L 1-3	51.6	1484	1417	43.09%	23.84%	33.08%	+0.27	-21.0	5
1988-05-01	Randers	W 1-0	38.8	1350	1272	52.36%	23.65%	23.99%	+0.59	+8.1	7
1988-05-01	@ Herfolge	L 0-1	38.8	1272	1350	23.99%	23.65%	52.36%	-0.59	-8.1	3
1988-05-01	KB Copenhagen	W 3-1	41.9	1480	1346	58.25%	23.30%	18.44%	+0.92	+10.6	8
1988-05-01	@ Silkeborg	L 1-3	41.9	1346	1480	18.44%	23.30%	58.25%	-0.92	-10.6	2
1988-05-01	Naestved	D 2-2	69.1	1506	1513	41.50%	23.88%	34.61%	+0.08	-0.3	5
1988-05-01	@ Vejle BK	D 2-2	69.1	1513	1506	34.61%	23.88%	41.50%	-0.08	+0.3	5
1988-05-08	Bronshoj	W 3-0	41.7	1360	1438	31.69%	23.81%	44.50%	-0.34	+36.2	4
1988-05-08	@ Aalborg	L 0-3	41.7	1438	1360	44.50%	23.81%	31.69%	+0.34	-36.2	4
1988-05-08	Aarhus GF	D 0-0	59.6	1493	1515	39.43%	23.89%	36.68%	-0.01	-0.2	4
1988-05-08	@ Ikast	D 0-0	59.6	1515	1493	36.68%	23.89%	39.43%	+0.01	+0.2	5
1988-05-08	Herfolge	L 2-3	53.7	1335	1358	39.34%	23.89%	36.77%	-0.01	-10.7	2
1988-05-08	@ KB Copenhagen	W 3-2	53.7	1358	1335	36.77%	23.89%	39.34%	+0.01	+10.7	9
1988-05-08	Silkeborg	W 1-0	49.9	1545	1491	49.47%	23.75%	26.78%	+0.44	+8.9	11
1988-05-08	@ Lyngby	L 0-1	49.9	1491	1545	26.78%	23.75%	49.47%	-0.44	-8.9	8
1988-05-08	B 1903	L 0-1	54.4	1513	1476	47.39%	23.81%	28.81%	+0.34	-14.0	5
1988-05-08	@ Naestved	W 1-0	54.4	1476	1513	28.81%	23.81%	47.39%	-0.34	+14.0	7
1988-05-08	Vejle BK	W 1-0	51.3	1463	1506	36.55%	23.88%	39.57%	-0.13	+12.0	7
1988-05-08	@ Odense	L 0-1	51.3	1506	1463	39.57%	23.88%	36.55%	+0.13	-12.0	5
1988-05-08	Brondby	L 0-4	31.2	1264	1597	9.46%	21.64%	68.91%	-1.86	-12.5	3
1988-05-08	@ Randers	W 4-0	31.2	1597	1264	68.91%	21.64%	9.46%	+1.86	+12.5	8
1988-05-09	Ikast	L 0-2	49.2	1490	1493	42.10%	23.88%	34.02%	+0.11	-23.8	7
1988-05-09	@ B 1903	W 2-0	49.2	1493	1490	34.02%	23.88%	42.10%	-0.11	+23.8	6
1988-05-15	Naestved	L 2-3	64.0	1515	1499	44.65%	23.85%	31.49%	+0.22	-11.9	5
1988-05-15	@ Aarhus GF	W 3-2	64.0	1499	1515	31.49%	23.85%	44.65%	-0.22	+11.9	7
1988-05-15	KB Copenhagen	W 3-1	41.8	1609	1325	69.54%	21.73%	8.73%	+1.82	+5.3	10
1988-05-15	@ Brondby	L 1-3	41.8	1325	1609	8.73%	21.73%	69.54%	-1.82	-5.3	2
1988-05-15	Odense	D 2-2	66.3	1466	1475	41.24%	23.89%	34.88%	+0.07	-0.3	8
1988-05-15	@ B 1903	D 2-2	66.3	1475	1466	34.88%	23.89%	41.24%	-0.07	+0.3	8
1988-05-15	Lyngby	L 0-1	43.4	1369	1554	19.64%	23.24%	57.12%	-0.97	-6.8	9
1988-05-15	@ Herfolge	W 1-0	43.4	1554	1369	57.12%	23.24%	19.64%	+0.97	+6.8	13
1988-05-15	Aalborg	W 3-0	41.8	1251	1397	23.57%	23.51%	52.92%	-0.74	+42.1	5
1988-05-15	@ Randers	L 0-3	41.8	1397	1251	52.92%	23.51%	23.57%	+0.74	-42.1	4
1988-05-15	Ikast	W 1-0	52.1	1482	1517	37.58%	23.88%	38.53%	-0.08	+11.8	10
1988-05-15	@ Silkeborg	L 0-1	52.1	1517	1482	38.53%	23.88%	37.58%	+0.08	-11.8	6
1988-05-15	Bronshoj	W 4-2	49.1	1494	1402	53.85%	23.58%	22.57%	+0.67	+11.3	7
1988-05-15	@ Vejle BK	L 2-4	49.1	1402	1494	22.57%	23.58%	53.85%	-0.67	-11.3	4
1988-05-23	Vejle BK	L 2-3	52.0	1355	1505	23.08%	23.48%	53.44%	-0.77	-7.0	4
1988-05-23	@ Aalborg	W 3-2	52.0	1505	1355	53.44%	23.48%	23.08%	+0.77	+7.0	9
1988-05-23	B 1903	D 2-2	63.5	1391	1466	32.00%	23.82%	44.18%	-0.32	+0.6	5
1988-05-23	@ Bronshoj	D 2-2	63.5	1466	1391	44.18%	23.82%	32.00%	+0.32	-0.6	9
1988-05-23	Herfolge	D 1-1	58.9	1505	1362	59.10%	23.24%	17.66%	+0.98	-2.8	7
1988-05-23	@ Ikast	D 1-1	58.9	1362	1505	17.66%	23.24%	59.10%	-0.98	+2.8	10
1988-05-23	Randers	W 3-1	42.3	1319	1293	46.00%	23.83%	30.16%	+0.28	+15.9	4
1988-05-23	@ KB Copenhagen	L 1-3	42.3	1293	1319	30.16%	23.83%	46.00%	-0.28	-15.9	5
1988-05-23	Brondby	L 0-1	56.8	1560	1615	34.85%	23.86%	41.29%	-0.20	-10.9	13
1988-05-23	@ Lyngby	W 1-0	56.8	1615	1560	41.29%	23.86%	34.85%	+0.20	+10.9	12
1988-05-23	Silkeborg	W 1-0	50.1	1511	1494	44.83%	23.85%	31.32%	+0.23	+10.0	9
1988-05-23	@ Naestved	L 0-1	50.1	1494	1511	31.32%	23.85%	44.83%	-0.23	-10.1	10
1988-05-23	Aarhus GF	W 4-0	44.3	1476	1504	38.60%	23.89%	37.51%	-0.04	+41.3	10
1988-05-23	@ Odense	L 0-4	44.3	1504	1476	37.51%	23.89%	38.60%	+0.04	-41.3	5
1988-05-26	Bronshoj	W 3-1	44.6	1462	1391	51.52%	23.68%	24.80%	+0.55	+13.6	7
1988-05-26	@ Aarhus GF	L 1-3	44.6	1391	1462	24.80%	23.68%	51.52%	-0.55	-13.6	5
1988-05-26	Ikast	W 2-1	55.5	1626	1502	57.17%	23.38%	19.44%	+0.86	+6.4	14
1988-05-26	@ Brondby	L 1-2	55.5	1502	1626	19.44%	23.38%	57.17%	-0.86	-6.4	7
1988-05-26	Vejle BK	L 0-2	47.1	1466	1512	35.97%	23.87%	40.16%	-0.15	-21.1	9
1988-05-26	@ B 1903	W 2-0	47.1	1512	1466	40.16%	23.87%	35.97%	+0.15	+21.1	11
1988-05-26	Naestved	W 2-0	49.2	1365	1521	22.41%	23.44%	54.14%	-0.81	+29.6	12
1988-05-26	@ Herfolge	L 0-2	49.2	1521	1365	54.14%	23.44%	22.41%	+0.81	-29.6	9
1988-05-26	Aalborg	D 2-2	60.1	1335	1348	40.81%	23.89%	35.31%	+0.05	-0.2	5
1988-05-26	@ KB Copenhagen	D 2-2	60.1	1348	1335	35.31%	23.89%	40.81%	-0.05	+0.2	5
1988-05-26	Lyngby	L 0-2	34.9	1277	1549	12.84%	22.40%	64.76%	-1.49	-8.8	5
1988-05-26	@ Randers	W 2-0	34.9	1549	1277	64.76%	22.40%	12.84%	+1.49	+8.8	15
1988-05-26	Odense	W 2-1	56.9	1484	1517	37.81%	23.89%	38.30%	-0.07	+11.1	12
1988-05-26	@ Silkeborg	L 1-2	56.9	1517	1484	38.30%	23.89%	37.81%	+0.07	-11.1	10
1988-05-29	B 1903	D 1-1	56.9	1348	1444	29.26%	23.75%	46.99%	-0.45	+1.1	6
1988-05-29	@ Aalborg	D 1-1	56.9	1444	1348	46.99%	23.75%	29.26%	+0.45	-1.1	10
1988-05-29	Silkeborg	W 4-1	49.8	1378	1495	26.77%	23.66%	49.57%	-0.57	+33.5	7
1988-05-29	@ Bronshoj	L 1-4	49.8	1495	1378	49.57%	23.66%	26.77%	+0.57	-33.5	12
1988-05-29	Randers	D 0-0	52.7	1496	1268	65.93%	22.43%	11.64%	+1.48	-4.3	8
1988-05-29	@ Ikast	D 0-0	52.7	1268	1496	11.64%	22.43%	65.93%	-1.48	+4.3	6
1988-05-29	KB Copenhagen	W 2-1	44.7	1558	1335	65.62%	22.48%	11.90%	+1.45	+4.1	17
1988-05-29	@ Lyngby	L 1-2	44.7	1335	1558	11.90%	22.48%	65.62%	-1.45	-4.1	5
1988-05-29	Brondby	D 0-0	63.8	1492	1632	24.14%	23.54%	52.31%	-0.71	+2.0	10
1988-05-29	@ Naestved	D 0-0	63.8	1632	1492	52.31%	23.54%	24.14%	+0.71	-2.0	15
1988-05-29	Herfolge	D 1-1	59.9	1506	1394	56.01%	23.46%	20.53%	+0.79	-2.3	11
1988-05-29	@ Odense	D 1-1	59.9	1394	1506	20.53%	23.46%	56.01%	-0.79	+2.4	13
1988-05-29	Aarhus GF	D 0-0	59.7	1533	1476	49.87%	23.74%	26.39%	+0.46	-1.7	12
1988-05-29	@ Vejle BK	D 0-0	59.7	1476	1533	26.39%	23.74%	49.87%	-0.46	+1.7	8
1988-07-17	Bronshoj	W 1-0	45.1	1397	1411	40.47%	23.89%	35.64%	+0.04	+11.1	15
1988-07-17	@ Herfolge	L 0-1	45.1	1411	1397	35.64%	23.89%	40.47%	-0.04	-11.1	7
1988-07-17	Aalborg	L 1-2	61.2	1562	1349	64.93%	22.58%	12.49%	+1.39	-17.7	17
1988-07-17	@ Lyngby	W 2-1	61.2	1349	1562	12.49%	22.58%	64.93%	-1.39	+17.7	8
1988-07-17	Naestved	L 2-5	40.0	1273	1494	16.51%	22.93%	60.56%	-1.19	-11.8	6
1988-07-17	@ Randers	W 5-2	40.0	1494	1273	60.56%	22.93%	16.51%	+1.19	+11.8	12
1988-07-19	Vejle BK	D 1-1	63.1	1461	1531	32.75%	23.83%	43.42%	-0.29	+0.7	13
1988-07-19	@ Silkeborg	D 1-1	63.1	1531	1461	43.42%	23.83%	32.75%	+0.29	-0.7	13
1988-07-20	Odense	W 2-1	55.6	1630	1504	57.47%	23.36%	19.16%	+0.87	+6.3	17
1988-07-20	@ Brondby	L 1-2	55.6	1504	1630	19.16%	23.36%	57.47%	-0.87	-6.3	11
1988-07-20	Ikast	L 1-2	46.0	1331	1492	22.00%	23.41%	54.59%	-0.83	-7.1	5
1988-07-20	@ KB Copenhagen	W 2-1	46.0	1492	1331	54.59%	23.41%	22.00%	+0.83	+7.1	10
1988-07-24	Aarhus GF	D 0-0	54.1	1367	1477	27.52%	23.69%	48.79%	-0.53	+1.5	9
1988-07-24	@ Aalborg	D 0-0	54.1	1477	1367	48.79%	23.69%	27.52%	+0.53	-1.5	9
1988-07-24	Brondby	L 1-5	43.4	1400	1636	15.34%	22.78%	61.88%	-1.28	-16.4	7
1988-07-24	@ Bronshoj	W 5-1	43.4	1636	1400	61.88%	22.78%	15.34%	+1.28	+16.4	19
1988-07-24	Silkeborg	L 1-2	53.9	1443	1462	39.88%	23.89%	36.23%	+0.01	-11.4	10
1988-07-24	@ B 1903	W 2-1	53.9	1462	1443	36.23%	23.89%	39.88%	-0.01	+11.4	15
1988-07-24	Lyngby	D 0-0	60.9	1499	1545	36.01%	23.87%	40.12%	-0.15	+0.3	11
1988-07-24	@ Ikast	D 0-0	60.9	1545	1499	40.12%	23.87%	36.01%	+0.15	-0.3	18
1988-07-24	KB Copenhagen	W 1-0	39.0	1505	1324	62.45%	22.91%	14.64%	+1.20	+5.3	14
1988-07-24	@ Naestved	L 0-1	39.0	1324	1505	14.64%	22.91%	62.45%	-1.20	-5.3	5
1988-07-24	Randers	W 3-0	30.4	1497	1261	66.54%	22.33%	11.14%	+1.53	+11.3	13
1988-07-24	@ Odense	L 0-3	30.4	1261	1497	11.14%	22.33%	66.54%	-1.53	-11.3	6
1988-07-24	Herfolge	D 1-1	61.2	1531	1408	57.13%	23.39%	19.49%	+0.85	-2.5	14
1988-07-24	@ Vejle BK	D 1-1	61.2	1408	1531	19.49%	23.39%	57.13%	-0.85	+2.5	16
1988-07-27	B 1903	D 2-2	65.1	1476	1432	48.27%	23.78%	27.95%	+0.39	-1.0	10
1988-07-27	@ Aarhus GF	D 2-2	65.1	1432	1476	27.95%	23.78%	48.27%	-0.39	+1.0	11
1988-07-31	Ikast	L 0-3	37.6	1368	1499	25.19%	23.59%	51.22%	-0.65	-23.1	9
1988-07-31	@ Aalborg	W 3-0	37.6	1499	1368	51.22%	23.59%	25.19%	+0.65	+23.1	13
1988-07-31	Vejle BK	D 0-0	65.4	1653	1528	57.31%	23.37%	19.31%	+0.87	-2.8	20
1988-07-31	@ Brondby	D 0-0	65.4	1528	1653	19.31%	23.37%	57.31%	-0.87	+2.8	15
1988-07-31	B 1903	L 0-1	47.1	1410	1433	39.33%	23.89%	36.78%	-0.01	-12.0	16
1988-07-31	@ Herfolge	W 1-0	47.1	1433	1410	36.78%	23.89%	39.33%	+0.01	+12.0	13
1988-07-31	Odense	L 1-5	37.6	1319	1509	19.17%	23.20%	57.64%	-1.00	-19.9	5
1988-07-31	@ KB Copenhagen	W 5-1	37.6	1509	1319	57.64%	23.20%	19.17%	+1.00	+20.0	15
1988-07-31	Naestved	D 1-1	65.4	1544	1511	46.96%	23.82%	29.22%	+0.33	-1.1	19
1988-07-31	@ Lyngby	D 1-1	65.4	1511	1544	29.22%	23.82%	46.96%	-0.33	+1.1	15
1988-07-31	Bronshoj	D 1-1	54.7	1250	1384	24.84%	23.58%	51.58%	-0.67	+1.7	7
1988-07-31	@ Randers	D 1-1	54.7	1384	1250	51.58%	23.58%	24.84%	+0.67	-1.7	8
1988-07-31	Aarhus GF	L 0-1	51.3	1473	1475	42.28%	23.88%	33.84%	+0.12	-12.7	15
1988-07-31	@ Silkeborg	W 1-0	51.3	1475	1473	33.84%	23.88%	42.28%	-0.12	+12.7	12
1988-08-07	Odense	L 1-2	57.0	1488	1529	36.72%	23.88%	39.40%	-0.12	-10.7	12
1988-08-07	@ Aarhus GF	W 2-1	57.0	1529	1488	39.40%	23.88%	36.72%	+0.12	+10.7	17
1988-08-07	Lyngby	W 6-2	52.2	1650	1543	55.46%	23.49%	21.05%	+0.76	+18.4	22
1988-08-07	@ Brondby	L 2-6	52.2	1543	1650	21.05%	23.49%	55.46%	-0.76	-18.4	19
1988-08-07	Bronshoj	W 2-0	39.1	1445	1382	50.58%	23.72%	25.71%	+0.50	+16.2	15
1988-08-07	@ B 1903	L 0-2	39.1	1382	1445	25.71%	23.72%	50.58%	-0.50	-16.2	8
1988-08-07	Ikast	W 3-0	46.9	1398	1522	26.00%	23.63%	50.37%	-0.61	+40.3	18
1988-08-07	@ Herfolge	L 0-3	46.9	1522	1398	50.37%	23.63%	26.00%	+0.61	-40.3	13
1988-08-07	KB Copenhagen	L 1-3	43.6	1251	1299	35.83%	23.87%	40.30%	-0.16	-18.2	7
1988-08-07	@ Randers	W 3-1	43.6	1299	1251	40.30%	23.87%	35.83%	+0.16	+18.2	7
1988-08-07	Naestved	L 0-3	44.3	1461	1512	35.30%	23.87%	40.84%	-0.18	-30.2	15
1988-08-07	@ Silkeborg	W 3-0	44.3	1512	1461	40.84%	23.87%	35.30%	+0.18	+30.2	17
1988-08-07	Aalborg	L 0-1	54.7	1531	1345	62.80%	22.86%	14.34%	+1.23	-18.2	15
1988-08-07	@ Vejle BK	W 1-0	54.7	1345	1531	14.34%	22.86%	62.80%	-1.23	+18.2	11
1988-08-14	Randers	W 3-1	38.6	1363	1233	57.84%	23.34%	18.83%	+0.90	+10.8	13
1988-08-14	@ Aalborg	L 1-3	38.6	1233	1363	18.83%	23.34%	57.84%	-0.90	-10.8	7
1988-08-14	Vejle BK	L 1-2	48.0	1366	1513	23.43%	23.50%	53.06%	-0.75	-7.5	8
1988-08-14	@ Bronshoj	W 2-1	48.0	1513	1366	53.06%	23.50%	23.43%	+0.75	+7.5	17
1988-08-14	Silkeborg	L 1-4	51.0	1482	1431	49.16%	23.76%	27.08%	+0.43	-33.3	13
1988-08-14	@ Ikast	W 4-1	51.0	1431	1482	27.08%	23.76%	49.16%	-0.43	+33.3	17
1988-08-14	Brondby	L 0-3	36.0	1317	1668	8.64%	21.39%	69.98%	-1.96	-8.8	7
1988-08-14	@ KB Copenhagen	W 3-0	36.0	1668	1317	69.98%	21.39%	8.64%	+1.96	+8.8	24
1988-08-14	Herfolge	D 1-1	62.1	1525	1439	53.28%	23.61%	23.11%	+0.64	-2.0	20
1988-08-14	@ Lyngby	D 1-1	62.1	1439	1525	23.11%	23.61%	53.28%	-0.64	+2.0	19
1988-08-14	Aarhus GF	D 2-2	69.2	1542	1477	50.83%	23.71%	25.46%	+0.51	-1.2	18
1988-08-14	@ Naestved	D 2-2	69.2	1477	1542	25.46%	23.71%	50.83%	-0.51	+1.2	13
1988-08-14	B 1903	W 1-0	47.7	1539	1461	52.36%	23.65%	23.99%	+0.59	+8.1	19
1988-08-14	@ Odense	L 0-1	47.7	1461	1539	23.99%	23.65%	52.36%	-0.59	-8.1	15
1988-08-21	Ikast	W 2-0	43.4	1478	1449	46.44%	23.83%	29.74%	+0.30	+18.2	15
1988-08-21	@ Aarhus GF	L 0-2	43.4	1449	1478	29.74%	23.83%	46.44%	-0.30	-18.2	13
1988-08-21	Randers	W 4-2	42.2	1677	1222	77.25%	19.08%	3.68%	+2.82	+2.0	26
1988-08-21	@ Brondby	L 2-4	42.2	1222	1677	3.68%	19.08%	77.25%	-2.82	-2.0	7
1988-08-21	Aalborg	W 5-2	45.5	1358	1374	40.31%	23.89%	35.80%	+0.03	+22.3	10
1988-08-21	@ Bronshoj	L 2-5	45.5	1374	1358	35.80%	23.89%	40.31%	-0.03	-22.3	13
1988-08-21	Naestved	L 0-2	46.0	1453	1541	30.38%	23.78%	45.84%	-0.40	-18.5	15
1988-08-21	@ B 1903	W 2-0	46.0	1541	1453	45.84%	23.78%	30.38%	+0.40	+18.5	20
1988-08-21	KB Copenhagen	W 2-0	35.2	1441	1308	58.08%	23.32%	18.61%	+0.91	+12.3	21
1988-08-21	@ Herfolge	L 0-2	35.2	1308	1441	18.61%	23.32%	58.08%	-0.91	-12.3	7
1988-08-21	Lyngby	L 0-1	50.3	1464	1523	34.19%	23.85%	41.95%	-0.23	-10.8	17
1988-08-21	@ Silkeborg	W 1-0	50.3	1523	1464	41.95%	23.85%	34.19%	+0.23	+10.8	22
1988-08-21	Odense	D 2-2	70.9	1520	1547	38.68%	23.89%	37.44%	-0.04	-0.1	18
1988-08-21	@ Vejle BK	D 2-2	70.9	1547	1520	37.44%	23.89%	38.68%	+0.04	+0.1	20
1988-08-28	Brondby	L 0-3	38.2	1352	1679	9.75%	21.72%	68.53%	-1.82	-9.9	13
1988-08-28	@ Aalborg	W 3-0	38.2	1679	1352	68.53%	21.72%	9.75%	+1.82	+9.9	28
1988-08-28	B 1903	L 0-1	48.5	1430	1434	41.93%	23.88%	34.19%	+0.10	-12.6	13
1988-08-28	@ Ikast	W 1-0	48.5	1434	1430	34.19%	23.88%	41.93%	-0.10	+12.6	17
1988-08-28	Silkeborg	L 1-3	41.4	1296	1453	22.33%	23.44%	54.23%	-0.81	-12.5	7
1988-08-28	@ KB Copenhagen	W 3-1	41.4	1453	1296	54.23%	23.44%	22.33%	+0.81	+12.4	19
1988-08-28	Aarhus GF	W 2-0	46.9	1534	1496	47.43%	23.81%	28.77%	+0.35	+17.7	24
1988-08-28	@ Lyngby	L 0-2	46.9	1496	1534	28.77%	23.81%	47.43%	-0.35	-17.7	15
1988-08-28	Vejle BK	D 0-0	62.2	1559	1520	47.66%	23.80%	28.54%	+0.36	-1.3	21
1988-08-28	@ Naestved	D 0-0	62.2	1520	1559	28.54%	23.80%	47.66%	-0.36	+1.4	19
1988-08-28	Bronshoj	W 2-1	47.2	1547	1381	61.22%	23.04%	15.74%	+1.12	+5.3	22
1988-08-28	@ Odense	L 1-2	47.2	1381	1547	15.74%	23.04%	61.22%	-1.12	-5.3	10
1988-08-28	Herfolge	L 1-2	41.3	1220	1453	15.62%	22.82%	61.56%	-1.26	-5.3	7
1988-08-28	@ Randers	W 2-1	41.3	1453	1220	61.56%	22.82%	15.62%	+1.26	+5.3	23
1988-09-04	KB Copenhagen	W 3-0	31.4	1479	1283	63.55%	22.77%	13.68%	+1.29	+13.6	17
1988-09-04	@ Aarhus GF	L 0-3	31.4	1283	1479	13.68%	22.77%	63.55%	-1.29	-13.6	7
1988-09-04	Naestved	L 1-2	48.7	1375	1558	19.84%	23.26%	56.90%	-0.96	-6.5	10
1988-09-04	@ Bronshoj	W 2-1	48.7	1558	1375	56.90%	23.26%	19.84%	+0.96	+6.5	23
1988-09-04	Lyngby	W 5-0	48.3	1447	1551	28.32%	23.72%	47.97%	-0.50	+62.1	19
1988-09-04	@ B 1903	L 0-5	48.3	1551	1447	47.97%	23.72%	28.32%	+0.50	-62.1	24
1988-09-04	Brondby	L 1-2	54.8	1458	1689	15.76%	22.84%	61.40%	-1.25	-5.3	23
1988-09-04	@ Herfolge	W 2-1	54.8	1689	1458	61.40%	22.84%	15.76%	+1.25	+5.3	30
1988-09-04	Aalborg	D 0-0	55.9	1553	1342	64.74%	22.61%	12.65%	+1.38	-4.1	23
1988-09-04	@ Odense	D 0-0	55.9	1342	1553	12.65%	22.61%	64.74%	-1.38	+4.1	14
1988-09-04	Randers	W 4-3	47.3	1466	1215	67.46%	22.16%	10.38%	+1.61	+3.4	21
1988-09-04	@ Silkeborg	L 3-4	47.3	1215	1466	10.38%	22.16%	67.46%	-1.61	-3.4	7
1988-09-11	Herfolge	W 4-2	54.2	1346	1453	28.00%	23.71%	48.29%	-0.51	+20.7	16
1988-09-11	@ Aalborg	L 2-4	54.2	1453	1346	48.29%	23.71%	28.00%	+0.51	-20.7	23
1988-09-11	Silkeborg	W 1-0	49.1	1694	1469	65.76%	22.46%	11.79%	+1.46	+4.3	32
1988-09-11	@ Brondby	L 0-1	49.1	1469	1694	11.79%	22.46%	65.76%	-1.46	-4.3	21
1988-09-11	Bronshoj	L 0-3	42.7	1418	1369	48.89%	23.77%	27.34%	+0.42	-39.3	13
1988-09-11	@ Ikast	W 3-0	42.7	1369	1418	27.34%	23.77%	48.89%	-0.42	+39.3	12
1988-09-11	B 1903	L 1-3	39.6	1270	1509	15.09%	22.75%	62.16%	-1.30	-8.9	7
1988-09-11	@ KB Copenhagen	W 3-1	39.6	1509	1270	62.16%	22.75%	15.09%	+1.30	+8.8	21
1988-09-11	Vejle BK	W 3-0	46.6	1489	1521	37.96%	23.89%	38.15%	-0.07	+32.0	26
1988-09-11	@ Lyngby	L 0-3	46.6	1521	1489	38.15%	23.89%	37.96%	+0.07	-32.0	19
1988-09-11	Odense	W 2-0	50.6	1564	1549	44.62%	23.86%	31.53%	+0.22	+19.0	25
1988-09-11	@ Naestved	L 0-2	50.6	1549	1564	31.53%	23.86%	44.62%	-0.22	-19.0	23
1988-09-11	Aarhus GF	L 0-2	32.4	1212	1492	12.32%	22.30%	65.37%	-1.54	-8.5	7
1988-09-11	@ Randers	W 2-0	32.4	1492	1212	65.37%	22.30%	12.32%	+1.54	+8.5	19
1988-09-25	Ikast	W 3-1	43.7	1489	1379	55.92%	23.46%	20.61%	+0.78	+11.7	21
1988-09-25	@ Vejle BK	L 1-3	43.7	1379	1489	20.61%	23.46%	55.92%	-0.78	-11.7	13
1988-10-02	Brondby	W 3-2	73.7	1501	1698	18.48%	23.14%	58.38%	-1.05	+15.1	21
1988-10-02	@ Aarhus GF	L 2-3	73.7	1698	1501	58.38%	23.14%	18.48%	+1.05	-15.1	32
1988-10-02	Lyngby	W 3-0	46.8	1408	1521	27.24%	23.68%	49.08%	-0.55	+39.4	14
1988-10-02	@ Bronshoj	L 0-3	46.8	1521	1408	49.08%	23.68%	27.24%	+0.55	-39.4	26
1988-10-02	Randers	W 4-3	46.7	1518	1203	71.19%	21.31%	7.49%	+1.99	+2.5	23
1988-10-02	@ B 1903	L 3-4	46.7	1203	1518	7.49%	21.31%	71.19%	-1.99	-2.4	7
1988-10-02	Aalborg	W 1-0	42.0	1584	1367	65.17%	22.55%	12.28%	+1.41	+4.5	27
1988-10-02	@ Naestved	L 0-1	42.0	1367	1584	12.28%	22.55%	65.17%	-1.41	-4.5	16
1988-10-02	Ikast	L 0-4	48.2	1530	1367	60.87%	23.07%	16.06%	+1.09	-63.0	23
1988-10-02	@ Odense	W 4-0	48.2	1367	1530	16.06%	23.07%	60.87%	-1.09	+63.0	15
1988-10-02	Herfolge	W 5-0	39.2	1465	1432	46.80%	23.82%	29.38%	+0.32	+42.1	23
1988-10-02	@ Silkeborg	L 0-5	39.2	1432	1465	29.38%	23.82%	46.80%	-0.32	-42.1	23
1988-10-02	KB Copenhagen	W 2-0	32.8	1501	1261	66.80%	22.28%	10.92%	+1.55	+7.6	23
1988-10-02	@ Vejle BK	L 0-2	32.8	1261	1501	10.92%	22.28%	66.80%	-1.55	-7.6	7
1988-10-09	Silkeborg	W 2-1	56.5	1362	1507	23.68%	23.52%	52.81%	-0.73	+14.5	18
1988-10-09	@ Aalborg	L 1-2	56.5	1507	1362	52.81%	23.52%	23.68%	+0.73	-14.5	23
1988-10-09	B 1903	D 1-1	70.0	1683	1520	60.87%	23.07%	16.05%	+1.09	-3.1	33
1988-10-09	@ Brondby	D 1-1	70.0	1520	1683	16.05%	23.07%	60.87%	-1.09	+3.1	24
1988-10-09	Aarhus GF	L 0-2	41.4	1390	1516	25.77%	23.62%	50.61%	-0.62	-16.2	23
1988-10-09	@ Herfolge	W 2-0	41.4	1516	1390	50.61%	23.62%	25.77%	+0.62	+16.2	23
1988-10-09	Naestved	W 4-0	50.7	1430	1588	22.25%	23.43%	54.32%	-0.81	+56.4	17
1988-10-09	@ Ikast	L 0-4	50.7	1588	1430	54.32%	23.43%	22.25%	+0.81	-56.4	27
1988-10-09	Bronshoj	L 1-2	42.7	1253	1447	18.79%	23.16%	58.05%	-1.03	-6.2	7
1988-10-09	@ KB Copenhagen	W 2-1	42.7	1447	1253	58.05%	23.16%	18.79%	+1.03	+6.2	16
1988-10-09	Odense	W 2-1	52.9	1482	1467	44.55%	23.86%	31.59%	+0.22	+9.5	28
1988-10-09	@ Lyngby	L 1-2	52.9	1467	1482	31.59%	23.86%	44.55%	-0.22	-9.5	23
1988-10-09	Vejle BK	L 0-3	29.4	1201	1509	10.75%	21.97%	67.28%	-1.70	-10.8	7
1988-10-09	@ Randers	W 3-0	29.4	1509	1201	67.28%	21.97%	10.75%	+1.70	+10.8	25
1988-10-16	Silkeborg	L 0-1	55.8	1532	1492	47.74%	23.80%	28.47%	+0.36	-14.0	23
1988-10-16	@ Aarhus GF	W 1-0	55.8	1492	1532	28.47%	23.80%	47.74%	-0.36	+14.0	25
1988-10-16	Randers	D 0-0	51.2	1454	1190	68.29%	22.00%	9.71%	+1.69	-4.7	17
1988-10-16	@ Bronshoj	D 0-0	51.2	1190	1454	9.71%	22.00%	68.29%	-1.69	+4.7	8
1988-10-16	Herfolge	W 2-0	38.4	1524	1374	59.70%	23.18%	17.12%	+1.01	+11.5	26
1988-10-16	@ B 1903	L 0-2	38.4	1374	1524	17.12%	23.18%	59.70%	-1.01	-11.5	23
1988-10-16	Aalborg	L 4-5	66.2	1486	1377	55.79%	23.47%	20.74%	+0.78	-13.9	17
1988-10-16	@ Ikast	W 5-4	66.2	1377	1486	20.74%	23.47%	55.79%	-0.78	+13.9	20
1988-10-16	Lyngby	W 2-1	54.7	1532	1492	47.78%	23.80%	28.42%	+0.36	+8.8	29
1988-10-16	@ Naestved	L 1-2	54.7	1492	1532	28.42%	23.80%	47.78%	-0.36	-8.8	28
1988-10-16	KB Copenhagen	W 4-1	34.8	1457	1247	64.68%	22.62%	12.71%	+1.37	+10.8	25
1988-10-16	@ Odense	L 1-4	34.8	1247	1457	12.71%	22.62%	64.68%	-1.37	-10.7	7
1988-10-16	Brondby	D 0-0	65.8	1520	1680	21.99%	23.41%	54.60%	-0.83	+2.4	26
1988-10-16	@ Vejle BK	D 0-0	65.8	1680	1520	54.60%	23.41%	21.99%	+0.83	-2.4	34
1988-10-22	Aalborg	W 5-1	40.0	1518	1390	57.60%	23.35%	19.05%	+0.88	+19.9	25
1988-10-22	@ Aarhus GF	L 1-5	40.0	1390	1518	19.05%	23.35%	57.60%	-0.88	-19.9	20
1988-10-23	Bronshoj	W 4-1	46.9	1678	1449	66.03%	22.41%	11.56%	+1.48	+9.8	36
1988-10-23	@ Brondby	L 1-4	46.9	1449	1678	11.56%	22.41%	66.03%	-1.48	-9.8	17
1988-10-23	Vejle BK	W 2-1	57.5	1362	1522	22.11%	23.42%	54.47%	-0.82	+14.9	25
1988-10-23	@ Herfolge	L 1-2	57.5	1522	1362	54.47%	23.42%	22.11%	+0.82	-14.9	26
1988-10-23	Naestved	D 1-1	57.1	1236	1540	10.95%	22.02%	67.03%	-1.68	+4.0	8
1988-10-23	@ KB Copenhagen	D 1-1	57.1	1540	1236	67.03%	22.02%	10.95%	+1.68	-4.0	30
1988-10-23	Ikast	D 0-0	57.7	1483	1472	43.91%	23.86%	32.23%	+0.19	-0.8	29
1988-10-23	@ Lyngby	D 0-0	57.7	1472	1483	32.23%	23.86%	43.91%	-0.19	+0.8	18
1988-10-23	Odense	L 1-6	31.8	1195	1468	12.78%	22.39%	64.83%	-1.50	-17.0	8
1988-10-23	@ Randers	W 6-1	31.8	1468	1195	64.83%	22.39%	12.78%	+1.50	+17.0	27
1988-10-23	B 1903	L 1-2	58.4	1506	1535	38.46%	23.89%	37.65%	-0.05	-11.1	25
1988-10-23	@ Silkeborg	W 2-1	58.4	1535	1506	37.65%	23.89%	38.46%	+0.05	+11.1	28
1988-10-30	Lyngby	L 0-1	43.7	1371	1482	27.47%	23.69%	48.84%	-0.54	-9.0	20
1988-10-30	@ Aalborg	W 1-0	43.7	1482	1371	48.84%	23.69%	27.47%	+0.54	+9.0	31
1988-10-30	Herfolge	D 0-0	53.4	1439	1377	50.45%	23.72%	25.83%	+0.49	-1.8	18
1988-10-30	@ Bronshoj	D 0-0	53.4	1377	1439	25.83%	23.72%	50.45%	-0.49	+1.8	26
1988-10-30	Aarhus GF	D 1-1	66.4	1546	1538	43.61%	23.87%	32.53%	+0.17	-0.7	29
1988-10-30	@ B 1903	D 1-1	66.4	1538	1546	32.53%	23.87%	43.61%	-0.17	+0.7	26
1988-10-30	KB Copenhagen	W 5-3	43.2	1473	1240	66.30%	22.37%	11.34%	+1.51	+5.8	20
1988-10-30	@ Ikast	L 3-5	43.2	1240	1473	11.34%	22.37%	66.30%	-1.51	-5.8	8
1988-10-30	Randers	W 3-1	35.2	1536	1178	73.35%	20.66%	5.99%	+2.26	+3.6	32
1988-10-30	@ Naestved	L 1-3	35.2	1178	1536	5.99%	20.66%	73.35%	-2.26	-3.7	8
1988-10-30	Brondby	L 1-3	53.1	1485	1688	18.03%	23.09%	58.88%	-1.08	-10.4	27
1988-10-30	@ Odense	W 3-1	53.1	1688	1485	58.88%	23.09%	18.03%	+1.08	+10.4	38
1988-10-30	Silkeborg	D 1-1	63.5	1507	1495	44.10%	23.86%	32.04%	+0.20	-0.8	27
1988-10-30	@ Vejle BK	D 1-1	63.5	1495	1507	32.04%	23.86%	44.10%	-0.20	+0.8	26
1988-11-06	Vejle BK	L 0-1	56.2	1539	1506	46.78%	23.82%	29.40%	+0.32	-13.8	26
1988-11-06	@ Aarhus GF	W 1-0	56.2	1506	1539	29.40%	23.82%	46.78%	-0.32	+13.8	29
1988-11-06	Naestved	L 3-5	73.2	1698	1540	60.44%	23.12%	16.44%	+1.06	-24.1	38
1988-11-06	@ Brondby	W 5-3	73.2	1540	1698	16.44%	23.12%	60.44%	-1.06	+24.1	34
1988-11-06	Aalborg	W 6-1	37.7	1545	1362	62.64%	22.88%	14.48%	+1.22	+19.1	31
1988-11-06	@ B 1903	L 1-6	37.7	1362	1545	14.48%	22.88%	62.64%	-1.22	-19.1	20
1988-11-06	Odense	W 2-1	54.4	1379	1475	29.41%	23.75%	46.83%	-0.44	+13.0	28
1988-11-06	@ Herfolge	L 1-2	54.4	1475	1379	46.83%	23.75%	29.41%	+0.44	-13.0	27
1988-11-06	Lyngby	L 1-6	33.0	1234	1491	13.88%	22.57%	63.55%	-1.40	-18.3	8
1988-11-06	@ KB Copenhagen	W 6-1	33.0	1491	1234	63.55%	22.57%	13.88%	+1.40	+18.3	33
1988-11-06	Ikast	L 1-4	33.5	1174	1479	10.91%	22.01%	67.08%	-1.69	-9.3	8
1988-11-06	@ Randers	W 4-1	33.5	1479	1174	67.08%	22.01%	10.91%	+1.69	+9.3	22
1988-11-06	Bronshoj	L 1-2	57.9	1496	1437	50.06%	23.73%	26.21%	+0.47	-13.8	26
1988-11-06	@ Silkeborg	W 2-1	57.9	1437	1496	26.21%	23.73%	50.06%	-0.47	+13.8	20
1988-11-13	KB Copenhagen	W 2-1	41.7	1342	1216	57.47%	23.36%	19.16%	+0.88	+6.3	22
1988-11-13	@ Aalborg	L 1-2	41.7	1216	1342	19.16%	23.36%	57.47%	-0.88	-6.3	8
1988-11-13	Aarhus GF	L 2-4	54.9	1451	1525	32.23%	23.82%	43.95%	-0.31	-15.0	20
1988-11-13	@ Bronshoj	W 4-2	54.9	1525	1451	43.95%	23.82%	32.23%	+0.31	+15.0	28
1988-11-13	Brondby	L 0-4	44.9	1488	1674	19.55%	23.23%	57.22%	-0.98	-24.4	22
1988-11-13	@ Ikast	W 4-0	44.9	1674	1488	57.22%	23.23%	19.55%	+0.98	+24.4	40
1988-11-13	Randers	W 7-1	29.4	1509	1165	72.68%	20.88%	6.44%	+2.17	+10.4	35
1988-11-13	@ Lyngby	L 1-7	29.4	1165	1509	6.44%	20.88%	72.68%	-2.17	-10.4	8
1988-11-13	Herfolge	D 0-0	58.0	1564	1392	61.67%	22.99%	15.34%	+1.15	-3.5	35
1988-11-13	@ Naestved	D 0-0	58.0	1392	1564	15.34%	22.99%	61.67%	-1.15	+3.5	29
1988-11-13	Silkeborg	W 2-1	54.2	1462	1482	39.61%	23.89%	36.50%	+0.00	+10.7	29
1988-11-13	@ Odense	L 1-2	54.2	1482	1462	36.50%	23.89%	39.61%	+0.00	-10.7	26
1988-11-13	B 1903	D 1-1	66.4	1520	1565	36.22%	23.88%	39.91%	-0.14	+0.2	30
1988-11-13	@ Vejle BK	D 1-1	66.4	1565	1520	39.91%	23.88%	36.22%	+0.14	-0.2	32

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	1988-04-03	12.14%	Herfolge	1324	2	@ Aarhus GF	1543	1
2	1988-07-17	12.49%	Aalborg	1349	2	@ Lyngby	1562	1
3	1988-08-07	14.34%	Aalborg	1345	1	@ Vejle BK	1531	0
4	1988-04-03	14.83%	Randers	1284	2	@ Vejle BK	1463	1
5	1988-10-02	16.06%	Ikast	1367	4	@ Odense	1530	0
6	1988-11-06	16.44%	Naestved	1540	5	@ Brondby	1698	3
7	1988-10-02	18.48%	@ Aarhus GF	1501	3	Brondby	1698	2
8	1988-10-16	20.74%	Aalborg	1377	5	@ Ikast	1486	4
9	1988-10-23	22.11%	@ Herfolge	1362	2	Vejle BK	1522	1
10	1988-10-09	22.25%	@ Ikast	1430	4	Naestved	1588	0
11	1988-05-26	22.41%	@ Herfolge	1365	2	Naestved	1521	0
12	1988-05-15	23.57%	@ Randers	1251	3	Aalborg	1397	0
13	1988-10-09	23.68%	@ Aalborg	1362	2	Silkeborg	1507	1
14	1988-04-17	24.10%	@ Silkeborg	1467	1	Brondby	1608	0
15	1988-04-24	24.96%	Vejle BK	1465	3	@ Ikast	1534	0
16	1988-04-03	25.08%	KB Copenhagen	1383	2	@ Bronshoj	1451	1
17	1988-08-07	26.00%	@ Herfolge	1398	3	Ikast	1522	0
18	1988-11-06	26.21%	Bronshoj	1437	2	@ Silkeborg	1496	1
19	1988-04-17	26.49%	@ Bronshoj	1428	2	Ikast	1548	1
20	1988-05-29	26.77%	@ Bronshoj	1378	4	Silkeborg	1495	1
21	1988-08-14	27.08%	Silkeborg	1431	4	@ Ikast	1482	1
22	1988-10-02	27.24%	@ Bronshoj	1408	3	Lyngby	1521	0
23	1988-09-11	27.34%	Bronshoj	1369	3	@ Ikast	1418	0
24	1988-09-11	28.00%	@ Aalborg	1346	4	Herfolge	1453	2
25	1988-09-04	28.32%	@ B 1903	1447	5	Lyngby	1551	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	1988-10-02	62.98	Ikast	4	1367	16.06%	@ Odense	0	1530	60.87%	23.07%
2	1988-09-04	62.14	@ B 1903	5	1447	28.32%	Lyngby	0	1551	47.97%	23.72%
3	1988-10-09	56.37	@ Ikast	4	1430	22.25%	Naestved	0	1588	54.32%	23.43%
4	1988-05-15	42.12	@ Randers	3	1251	23.57%	Aalborg	0	1397	52.92%	23.51%
5	1988-10-02	42.11	@ Silkeborg	5	1465	46.80%	Herfolge	0	1432	29.38%	23.82%
6	1988-05-23	41.33	@ Odense	4	1476	38.60%	Aarhus GF	0	1504	37.51%	23.89%
7	1988-04-24	41.03	Vejle BK	3	1465	24.96%	@ Ikast	0	1534	51.35%	23.69%
8	1988-08-07	40.29	@ Herfolge	3	1398	26.00%	Ikast	0	1522	50.37%	23.63%
9	1988-10-02	39.37	@ Bronshoj	3	1408	27.24%	Lyngby	0	1521	49.08%	23.68%
10	1988-09-11	39.27	Bronshoj	3	1369	27.34%	@ Ikast	0	1418	48.89%	23.77%
11	1988-05-08	36.21	@ Aalborg	3	1360	31.69%	Bronshoj	0	1438	44.50%	23.81%
12	1988-05-29	33.49	@ Bronshoj	4	1378	26.77%	Silkeborg	1	1495	49.57%	23.66%
13	1988-08-14	33.27	Silkeborg	4	1431	27.08%	@ Ikast	1	1482	49.16%	23.76%
14	1988-09-11	32.05	@ Lyngby	3	1489	37.96%	Vejle BK	0	1521	38.15%	23.89%
15	1988-04-10	30.33	Vejle BK	3	1446	40.61%	@ KB Copenhagen	0	1397	35.52%	23.87%
16	1988-08-07	30.19	Naestved	3	1512	40.84%	@ Silkeborg	0	1461	35.30%	23.87%
17	1988-05-26	29.62	@ Herfolge	2	1365	22.41%	Naestved	0	1521	54.14%	23.44%
18	1988-04-10	27.76	B 1903	4	1454	53.73%	@ Randers	0	1301	22.80%	23.47%
19	1988-04-24	24.97	@ Naestved	3	1488	48.50%	Bronshoj	0	1442	27.72%	23.78%
20	1988-11-13	24.36	Brondby	4	1674	57.22%	@ Ikast	0	1488	19.55%	23.23%
21	1988-11-06	24.13	Naestved	5	1540	16.44%	@ Brondby	3	1698	60.44%	23.12%
22	1988-05-09	23.84	Ikast	2	1493	34.02%	@ B 1903	0	1490	42.10%	23.88%
23	1988-07-31	23.07	Ikast	3	1499	51.22%	@ Aalborg	0	1368	25.19%	23.59%
24	1988-08-21	22.29	@ Bronshoj	5	1358	40.31%	Aalborg	2	1374	35.80%	23.89%
25	1988-05-26	21.09	Vejle BK	2	1512	40.16%	@ B 1903	0	1466	35.97%	23.87%

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	1988-10-02	73.7	@ Aarhus GF	3	1501	18.48%	Brondby	2	1698	58.38%	23.14%
2	1988-11-06	73.2	Naestved	5	1540	16.44%	@ Brondby	3	1698	60.44%	23.12%
3	1988-08-21	70.9	@ Vejle BK	2	1520	38.68%	Odense	2	1547	37.44%	23.89%
4	1988-10-09	70.0	@ Brondby	1	1683	60.87%	B 1903	1	1520	16.05%	23.07%
5	1988-08-14	69.2	@ Naestved	2	1542	50.83%	Aarhus GF	2	1477	25.46%	23.71%
6	1988-05-01	69.1	@ Vejle BK	2	1506	41.50%	Naestved	2	1513	34.61%	23.88%
7	1988-04-03	67.0	@ Odense	2	1470	39.41%	Lyngby	2	1492	36.71%	23.89%
8	1988-10-30	66.4	@ B 1903	1	1546	43.61%	Aarhus GF	1	1538	32.53%	23.87%
9	1988-11-13	66.4	@ Vejle BK	1	1520	36.22%	B 1903	1	1565	39.91%	23.88%
10	1988-05-15	66.3	@ B 1903	2	1466	41.24%	Odense	2	1475	34.88%	23.89%
11	1988-10-16	66.2	Aalborg	5	1377	20.74%	@ Ikast	4	1486	55.79%	23.47%
12	1988-10-16	65.8	@ Vejle BK	0	1520	21.99%	Brondby	0	1680	54.60%	23.41%
13	1988-07-31	65.4	@ Brondby	0	1653	57.31%	Vejle BK	0	1528	19.31%	23.37%
14	1988-07-31	65.4	@ Lyngby	1	1544	46.96%	Naestved	1	1511	29.22%	23.82%
15	1988-04-24	65.3	@ Randers	3	1270	17.22%	Silkeborg	3	1482	59.77%	23.01%
16	1988-07-27	65.1	@ Aarhus GF	2	1476	48.27%	B 1903	2	1432	27.95%	23.78%
17	1988-05-15	64.0	Naestved	3	1499	31.49%	@ Aarhus GF	2	1515	44.65%	23.85%
18	1988-05-29	63.8	@ Naestved	0	1492	24.14%	Brondby	0	1632	52.31%	23.54%
19	1988-05-23	63.5	@ Bronshoj	2	1391	32.00%	B 1903	2	1466	44.18%	23.82%
20	1988-10-30	63.5	@ Vejle BK	1	1507	44.10%	Silkeborg	1	1495	32.04%	23.86%
21	1988-07-19	63.1	@ Silkeborg	1	1461	32.75%	Vejle BK	1	1531	43.42%	23.83%
22	1988-08-28	62.2	@ Naestved	0	1559	47.66%	Vejle BK	0	1520	28.54%	23.80%
23	1988-08-14	62.1	@ Lyngby	1	1525	53.28%	Herfolge	1	1439	23.11%	23.61%
24	1988-04-24	61.6	@ Brondby	1	1592	67.21%	Herfolge	1	1346	10.58%	22.21%
25	1988-04-03	61.4	@ B 1903	0	1452	23.14%	Brondby	0	1602	53.38%	23.49%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	1988-10-09	29.4	Vejle BK	3	1509	67.28%	@ Randers	0	1201	10.75%	21.97%
2	1988-11-13	29.4	@ Lyngby	7	1509	72.68%	Randers	1	1165	6.44%	20.88%
3	1988-07-24	30.4	@ Odense	3	1497	66.54%	Randers	0	1261	11.14%	22.33%
4	1988-05-08	31.2	Brondby	4	1597	68.91%	@ Randers	0	1264	9.46%	21.64%
5	1988-09-04	31.4	@ Aarhus GF	3	1479	63.55%	KB Copenhagen	0	1283	13.68%	22.77%
6	1988-10-23	31.8	Odense	6	1468	64.83%	@ Randers	1	1195	12.78%	22.39%
7	1988-09-11	32.4	Aarhus GF	2	1492	65.37%	@ Randers	0	1212	12.32%	22.30%
8	1988-10-02	32.8	@ Vejle BK	2	1501	66.80%	KB Copenhagen	0	1261	10.92%	22.28%
9	1988-11-06	33.0	Lyngby	6	1491	63.55%	@ KB Copenhagen	1	1234	13.88%	22.57%
10	1988-04-10	33.3	B 1903	4	1454	53.73%	@ Randers	0	1301	22.80%	23.47%
11	1988-11-06	33.5	Ikast	4	1479	67.08%	@ Randers	1	1174	10.91%	22.01%
12	1988-10-16	34.8	@ Odense	4	1457	64.68%	KB Copenhagen	1	1247	12.71%	22.62%
13	1988-05-26	34.9	Lyngby	2	1549	64.76%	@ Randers	0	1277	12.84%	22.40%
14	1988-08-21	35.2	@ Herfolge	2	1441	58.08%	KB Copenhagen	0	1308	18.61%	23.32%
15	1988-10-30	35.2	@ Naestved	3	1536	73.35%	Randers	1	1178	5.99%	20.66%
16	1988-08-14	36.0	Brondby	3	1668	69.98%	@ KB Copenhagen	0	1317	8.64%	21.39%
17	1988-07-31	37.6	Ikast	3	1499	51.22%	@ Aalborg	0	1368	25.19%	23.59%
18	1988-07-31	37.6	Odense	5	1509	57.64%	@ KB Copenhagen	1	1319	19.17%	23.20%
19	1988-11-06	37.7	@ B 1903	6	1545	62.64%	Aalborg	1	1362	14.48%	22.88%
20	1988-04-17	38.0	@ B 1903	2	1482	56.38%	KB Copenhagen	0	1367	20.19%	23.44%
21	1988-08-28	38.2	Brondby	3	1679	68.53%	@ Aalborg	0	1352	9.75%	21.72%
22	1988-10-16	38.4	@ B 1903	2	1524	59.70%	Herfolge	0	1374	17.12%	23.18%
23	1988-08-14	38.6	@ Aalborg	3	1363	57.84%	Randers	1	1233	18.83%	23.34%
24	1988-05-01	38.8	@ Brondby	2	1588	65.37%	Aalborg	0	1369	12.11%	22.52%
25	1988-05-01	38.8	@ Herfolge	1	1350	52.36%	Randers	0	1272	23.99%	23.65%