1995-96 Superliga Season

198 games

Final

Champion

Brondby

67 points · 6th Title

Last Title: 1991

Relegated

Naestved

23 pts

Ikast · 25 pts

Biggest Overachiever

Aarhus GF

9.80 points above expected

66 points · 56.20 expected points

Biggest Disappointment

Ikast

10.06 points below expected

25 points · 35.06 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	33	20	7	6	67	71	32	+39	60.77	+6.23
2	Aarhus GF	33	18	12	3	66	61	28	+33	56.20	+9.80
3	Odense	33	17	9	7	60	57	33	+24	50.54	+9.46
4	Lyngby	33	14	11	8	53	61	35	+26	55.92	-2.92
5	Aalborg	33	15	6	12	51	57	38	+19	54.47	-3.47
6	Silkeborg	33	14	7	12	49	44	42	+2	47.25	+1.75
7	FC Copenhagen	33	13	9	11	48	48	49	-1	48.50	-0.50
8	Viborg	33	9	11	13	38	48	67	-19	33.03	+4.97
9	Vejle BK	33	8	9	16	33	34	50	-16	39.04	-6.04
10	Herfolge	33	6	9	18	27	41	62	-21	28.82	-1.82
11	Ikast Relegated	33	5	10	18	25	28	63	-35	35.06	-10.06
12	Naestved Relegated	33	5	8	20	23	29	80	-51	32.54	-9.54

Going into Phase 2, the championship group halved its Phase 1 points (rounded up); the relegation group kept its full Phase 1 points. Each group then played its own round-robin to determine final standings.

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	Aarhus GF	66	56.20	+9.80
2	Odense	60	50.54	+9.46
3	Brondby	67	60.77	+6.23
4	Viborg	38	33.03	+4.97
5	Silkeborg	49	47.25	+1.75

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Ikast	25	35.06	-10.06
2	Naestved	23	32.54	-9.54
3	Vejle BK	33	39.04	-6.04
4	Aalborg	51	54.47	-3.47
5	Lyngby	53	55.92	-2.92

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	8	Oct 13 – Mar 24	1 in 328
2	Silkeborg	5	Nov 26 – Apr 14	1 in 255
3	Herfolge	2	Oct 15 – Oct 22	1 in 55
4	Aarhus GF	4	Sep 3 – Sep 20	1 in 27
5	Odense	3	Sep 17 – Sep 24	1 in 18

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Herfolge	11	Aug 9 – Oct 8	1 in 804
2	Naestved	7	Oct 15 – Nov 29	1 in 115
3	Vejle BK	5	Nov 26 – Apr 4	1 in 59
4	Lyngby	2	May 12 – May 15	1 in 25
5	Silkeborg	2	Sep 3 – Sep 8	1 in 25

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Herfolge	6	Oct 15 – Nov 19	1 in 110
2	Aarhus GF	10	Jul 30 – Sep 20	1 in 41
3	Brondby	13	Oct 13 – Apr 21	1 in 16
4	Silkeborg	5	Nov 26 – Apr 14	1 in 11
5	Viborg	4	Apr 28 – May 12	1 in 9

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Silkeborg	6	Sep 20 – Oct 22	1 in 23
2	FC Copenhagen	5	Oct 22 – Nov 19	1 in 20
3	Naestved	13	Oct 15 – Apr 28	1 in 18
4	Aarhus GF	3	Nov 29 – Apr 4	1 in 18
5	Odense	5	Oct 22 – Nov 17	1 in 18

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	1894	67	+36	11	9.3	+1.7
Aarhus GF	1855	66	+20	9	8.4	+0.6
Odense	1801	60	+21	11	8.1	+2.9
Lyngby	1794	53	-39	4	9.0	-5.0
Aalborg	1750	51	-5	7	7.9	-0.9
Silkeborg	1733	49	+8	8	7.6	+0.4
FC Copenhagen	1694	48	-10	7	6.6	+0.4
Viborg	1617	38	+19	8	5.8	+2.2
Vejle BK	1630	33	+38	7	5.4	+1.6
Herfolge	1587	27	+40	8	5.6	+2.4
Ikast	1530	25	-48	2	4.8	-2.8
Naestved	1464	23	-43	2	3.6	-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	BRO	FC	HER	IKA	LYN	NAE	ODE	SIL	VB	VIB
Aalborg	—	1-0-2 3.92	0-0-3 3.45	1-0-2 4.36	2-1-0 6.48	2-1-0 5.33	0-2-1 4.18	2-1-0 6.37	1-1-1 4.23	1-0-2 4.97	3-0-0 5.57	2-0-1 6.04
Aarhus GF	2-0-1 4.21	—	2-1-0 3.99	3-0-0 5.17	2-1-0 6.56	1-2-0 6.47	3-0-0 3.99	3-0-0 5.61	0-2-1 4.80	1-1-1 4.72	1-2-0 5.29	0-3-0 6.15
Brondby	3-0-0 4.79	0-1-2 4.15	—	2-0-1 5.02	2-1-0 6.39	3-0-0 6.27	1-1-1 4.63	3-0-0 6.15	1-1-1 4.75	1-1-1 5.54	3-0-0 5.83	1-2-0 6.44
FC Copenhagen	2-0-1 3.80	0-0-3 3.03	1-0-2 3.13	—	2-1-0 6.17	0-2-1 5.58	0-2-1 3.22	1-2-0 5.80	1-1-1 3.40	2-0-1 4.30	2-0-1 4.65	2-1-0 5.64
Herfolge	0-1-2 1.85	0-1-2 1.81	0-1-2 1.92	0-1-2 2.11	—	2-0-1 3.83	0-2-1 2.00	2-0-1 3.19	1-0-2 2.18	1-0-2 2.11	0-1-2 3.67	0-2-1 3.79
Ikast	0-1-2 2.87	0-2-1 1.86	0-0-3 2.09	1-2-0 2.62	1-0-2 4.33	—	0-0-3 2.76	1-1-1 3.89	0-0-3 2.59	1-1-1 3.11	1-1-1 3.38	0-2-1 4.20
Lyngby	1-2-0 3.97	0-0-3 4.15	1-1-1 3.54	1-2-0 4.95	1-2-0 6.29	3-0-0 5.46	—	2-1-0 5.78	0-1-2 4.75	0-1-2 5.25	2-1-0 5.47	3-0-0 5.73
Naestved	0-1-2 1.95	0-0-3 2.70	0-0-3 2.13	0-2-1 2.43	1-0-2 4.99	1-1-1 4.25	0-1-2 2.49	—	0-1-2 2.53	1-1-1 2.45	1-1-1 3.77	1-0-2 3.73
Odense	1-1-1 3.91	1-2-0 3.38	1-1-1 3.40	1-1-1 4.77	2-0-1 6.12	3-0-0 5.62	2-1-0 3.41	2-1-0 5.69	—	1-1-1 4.06	1-1-1 5.25	2-0-1 6.07
Silkeborg	2-0-1 3.20	1-1-1 3.42	1-1-1 2.69	1-0-2 3.85	2-0-1 6.16	1-1-1 5.07	2-1-0 2.96	1-1-1 5.84	1-1-1 4.09	—	1-1-1 5.00	1-0-2 5.04
Vejle BK	0-0-3 2.64	0-2-1 2.91	0-0-3 2.45	1-0-2 3.51	2-1-0 4.48	1-1-1 4.78	0-1-2 2.75	1-1-1 4.37	1-1-1 2.93	1-1-1 3.18	—	1-1-1 4.87
Viborg	1-0-2 2.23	0-3-0 2.13	0-2-1 1.89	0-1-2 2.57	1-2-0 4.36	1-2-0 3.94	0-0-3 2.50	2-0-1 4.46	1-0-2 2.20	2-0-1 3.17	1-1-1 3.29	—

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	0.86	+10.6
Allowed	0.84	-8.7
Differential	0.93	+5.2

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	5.05%	6.82%	6.06%	3.54%	3.28%	1.26%	26.01%
1	6.82%	15.15%	6.31%	3.54%	1.52%	1.26%	34.60%
2	6.06%	6.31%	5.56%	1.01%	1.01%	0.76%	20.71%
3	3.54%	3.54%	1.01%	1.52%	—	—	9.60%
4	3.28%	1.52%	1.01%	—	—	—	5.81%
5+	1.26%	1.26%	0.76%	—	—	—	3.28%
Total	26.01%	34.60%	20.71%	9.60%	5.81%	3.28%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.46	1.46	+0.00
SD	1.37	1.37	2.15
CV	0.93	0.93	—
Max	8	8	+7
Min	0	0	-7

Games Played: 198

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	12.12%	3.03%	3.03%	3.03%	—	24.24%
1	6.06%	15.15%	6.06%	3.03%	—	3.03%	33.33%
2	9.09%	3.03%	—	—	3.03%	—	15.15%
3	9.09%	3.03%	—	—	—	—	12.12%
4	9.09%	3.03%	—	—	—	—	12.12%
5+	—	3.03%	—	—	—	—	3.03%
Total	36.36%	39.39%	9.09%	6.06%	6.06%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.73	1.15	+0.58
SD	1.74	1.33	2.50
CV	1.01	1.15	—
Max	8	5	+7
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	12.12%	3.03%	—	—	—	—	15.15%
1	9.09%	15.15%	6.06%	—	—	—	30.30%
2	6.06%	9.09%	6.06%	—	—	—	21.21%
3	12.12%	9.09%	—	3.03%	—	—	24.24%
4	—	—	6.06%	—	—	—	6.06%
5+	—	3.03%	—	—	—	—	3.03%
Total	39.39%	39.39%	18.18%	3.03%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.85	0.85	+1.00
SD	1.30	0.83	1.32
CV	0.70	0.98	—
Max	5	3	+4
Min	0	0	-1

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	—	6.06%	—	—	—	9.09%
1	15.15%	9.09%	6.06%	3.03%	3.03%	—	36.36%
2	6.06%	3.03%	6.06%	—	—	—	15.15%
3	9.09%	6.06%	3.03%	3.03%	—	—	21.21%
4	9.09%	3.03%	—	—	—	—	12.12%
5+	3.03%	3.03%	—	—	—	—	6.06%
Total	45.45%	24.24%	21.21%	6.06%	3.03%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.15	0.97	+1.18
SD	1.56	1.10	2.13
CV	0.73	1.14	—
Max	6	4	+6
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	3.03%	3.03%	3.03%	6.06%	—	21.21%
1	9.09%	9.09%	9.09%	6.06%	—	—	33.33%
2	3.03%	12.12%	12.12%	—	3.03%	—	30.30%
3	3.03%	6.06%	—	—	—	—	9.09%
4	—	6.06%	—	—	—	—	6.06%
5+	—	—	—	—	—	—	—
Total	21.21%	36.36%	24.24%	9.09%	9.09%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.45	1.48	-0.03
SD	1.12	1.20	1.83
CV	0.77	0.81	—
Max	4	4	+3
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	12.12%	3.03%	6.06%	6.06%	—	33.33%
1	3.03%	12.12%	12.12%	—	—	6.06%	33.33%
2	6.06%	—	6.06%	6.06%	3.03%	—	21.21%
3	—	—	—	3.03%	—	—	3.03%
4	3.03%	3.03%	—	—	—	—	6.06%
5+	—	—	3.03%	—	—	—	3.03%
Total	18.18%	27.27%	24.24%	15.15%	9.09%	6.06%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.24	1.88	-0.64
SD	1.30	1.45	2.01
CV	1.05	0.77	—
Max	5	5	+4
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	6.06%	9.09%	9.09%	3.03%	6.06%	36.36%
1	6.06%	24.24%	9.09%	6.06%	3.03%	—	48.48%
2	3.03%	3.03%	3.03%	3.03%	—	—	12.12%
3	—	—	—	—	—	—	—
4	—	—	3.03%	—	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	12.12%	33.33%	24.24%	18.18%	6.06%	6.06%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.85	1.91	-1.06
SD	0.87	1.35	1.78
CV	1.03	0.71	—
Max	4	5	+2
Min	0	0	-5

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	6.06%	6.06%	—	—	—	15.15%
1	3.03%	15.15%	6.06%	3.03%	—	—	27.27%
2	12.12%	3.03%	15.15%	3.03%	—	—	33.33%
3	6.06%	—	3.03%	—	—	—	9.09%
4	9.09%	3.03%	—	—	—	—	12.12%
5+	3.03%	—	—	—	—	—	3.03%
Total	36.36%	27.27%	30.30%	6.06%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.85	1.06	+0.79
SD	1.33	0.97	1.90
CV	0.72	0.91	—
Max	5	3	+5
Min	0	0	-2

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	6.06%	15.15%	3.03%	12.12%	6.06%	45.45%
1	6.06%	18.18%	—	6.06%	3.03%	3.03%	36.36%
2	—	3.03%	3.03%	—	3.03%	3.03%	12.12%
3	—	—	3.03%	—	—	—	3.03%
4	—	—	—	—	—	—	—
5+	—	—	3.03%	—	—	—	3.03%
Total	9.09%	27.27%	24.24%	9.09%	18.18%	12.12%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.88	2.42	-1.55
SD	1.22	1.70	2.15
CV	1.39	0.70	—
Max	6	6	+4
Min	0	0	-5

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	—	6.06%	6.06%	—	—	15.15%
1	12.12%	18.18%	9.09%	—	—	—	39.39%
2	12.12%	6.06%	6.06%	—	—	—	24.24%
3	—	9.09%	—	—	—	—	9.09%
4	3.03%	—	—	—	—	—	3.03%
5+	3.03%	6.06%	—	—	—	—	9.09%
Total	33.33%	39.39%	21.21%	6.06%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.73	1.00	+0.73
SD	1.42	0.90	1.92
CV	0.82	0.90	—
Max	5	3	+5
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	15.15%	3.03%	3.03%	—	—	24.24%
1	9.09%	18.18%	6.06%	—	6.06%	—	39.39%
2	3.03%	15.15%	—	—	—	3.03%	21.21%
3	3.03%	6.06%	3.03%	—	—	—	12.12%
4	—	—	—	—	—	—	—
5+	3.03%	—	—	—	—	—	3.03%
Total	21.21%	54.55%	12.12%	3.03%	6.06%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.33	1.27	+0.06
SD	1.16	1.21	1.78
CV	0.87	0.95	—
Max	5	5	+5
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	18.18%	3.03%	6.06%	3.03%	3.03%	42.42%
1	—	15.15%	6.06%	9.09%	—	—	30.30%
2	9.09%	9.09%	—	—	—	—	18.18%
3	—	—	—	3.03%	—	—	3.03%
4	—	—	3.03%	—	—	—	3.03%
5+	3.03%	—	—	—	—	—	3.03%
Total	21.21%	42.42%	12.12%	18.18%	3.03%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.03	1.52	-0.48
SD	1.24	1.37	2.02
CV	1.20	0.91	—
Max	5	6	+5
Min	0	0	-6

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	—	15.15%	3.03%	6.06%	—	30.30%
1	3.03%	12.12%	—	6.06%	3.03%	3.03%	27.27%
2	3.03%	9.09%	9.09%	—	—	3.03%	24.24%
3	—	3.03%	—	6.06%	—	—	9.09%
4	6.06%	—	—	—	—	—	6.06%
5+	—	—	3.03%	—	—	—	3.03%
Total	18.18%	24.24%	27.27%	15.15%	9.09%	6.06%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.45	2.03	-0.58
SD	1.44	1.78	2.45
CV	0.99	0.87	—
Max	6	8	+4
Min	0	0	-7

Games Played: 33

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	1894	67	60.77	+6.23	84.0%	50	51	55	60	65	71	78
Aarhus GF	1855	66	56.20	+9.80	90.0%	36	42	53	56	61	68	79
Odense	1801	60	50.54	+9.46	93.0%	31	40	46	50	55	61	69
Lyngby	1794	53	55.92	-2.92	36.0%	41	45	51	56	61	67	73
Aalborg	1750	51	54.47	-3.47	34.0%	37	42	50	54	60	66	75
Silkeborg	1733	49	47.25	+1.75	66.0%	33	36	42	47	51	58	65
FC Copenhagen	1694	48	48.50	-0.50	46.0%	32	34	43	49	53	62	65
Vejle BK	1630	33	39.04	-6.04	23.0%	22	28	34	38	43	53	57
Viborg	1617	38	33.03	+4.97	79.0%	17	22	28	33	38	43	49
Herfolge	1587	27	28.82	-1.82	45.0%	15	19	24	29	33	39	45
Ikast	1530	25	35.06	-10.06	7.0%	16	24	30	35	39	46	50
Naestved	1464	23	32.54	-9.54	7.0%	14	19	28	32	37	44	59

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

+18.18%

Strong Edge

45.45%27.27%27.27%

Elo Value

Home Edge

159 Elo

0.006 goals per Elo point

063.88400

Scoring Tilt

Expected

+0.47 goals

Neutral

-2+0.40+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 * Middle of the Pack: 3rd to 6th * Longshot: 7th 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

3.3

Top-Heavy

134610

Champion Preseason Odds

49%

Brondby, 1st of 12

LongshotFavorite

Title Margin

Expected

0.03/gm

Photo Finish

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 5.59 * Some Luck: 5.59 to 8.39 * Lucky: 8.39 to 11.19 * Wild Swing: 11.19 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 1.21 * Close: 1.21 to 1.81 * Off: 1.81 to 2.42 * Way Off: 2.42 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 12 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 12 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 12 * As Expected: 12 to 19.2 * Several Outliers: 19.2 to 26.4 * Many Outliers: 26.4 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 0.8 * A Surprise: 0.8 to 1.28 * Several Surprises: 1.28 to 1.76 * Many Surprises: 1.76 and up.

Luck Spread

Expected

6.48 points

Some Luck

06.9917

Average Finish Error

Expected

1.17

Pinpoint

01.514

Biggest Overachiever

Expected 95.83%

93.00%

Odense

50100

Biggest Underachiever

Expected 4.17%

7.00%

Ikast

050

Season Outliers

Expected

0 of 12

Minimal Outliers

01.26

Unexpected Relegations

Expected

1 of 2

A Surprise

00.82

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: 132.49

2.09

Wide Separation

0.651.351.61.92.5

Interquartile Edge

75%

Wide Edge

50%59%69%100%

Best vs. Worst

Baseline 93%

92%

Dominant

50%100%

Close Games

Expected

56%

Some Drama

0%51%100%

Blowouts

Expected

23%

Very Frequent

0%25%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

0.39

Lopsided

00.280.370.5

Strangeness

Expected

0.85

As Expected

01.002

Repeatability

0.60

Strong Carryover

00.30.50.631

Upset Rate

Expected

20%

Chalky

0%22%50%

Clear Favorite Upset Rate

Expected

17%

Solid Favorites

0%19%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 0.12 * Near Noise Ceiling: 0.12 to 0.17 * Above Noise: 0.17 to 0.23 * Well Above Noise: 0.23 and up.

Probability calibration

0.03

Miscalibrated

0.010.050.10.51

Calibration slope

Ideal

1.20

Underconfident

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.067

Well Within Noise

00.1160.3

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
Brondby	49.00%	18.00%	16.00%	10.00%	4.00%	3.00%	—	—	—	—	—	—
Aarhus GF	17.00%	22.00%	20.00%	18.00%	9.00%	6.00%	3.00%	2.00%	2.00%	1.00%	—	—
Odense	2.00%	10.00%	11.00%	11.00%	26.00%	18.00%	12.00%	6.00%	1.00%	3.00%	—	—
Lyngby	15.00%	22.00%	18.00%	16.00%	10.00%	12.00%	7.00%	—	—	—	—	—
Aalborg	11.00%	16.00%	21.00%	17.00%	16.00%	6.00%	9.00%	2.00%	2.00%	—	—	—
Silkeborg	1.00%	4.00%	4.00%	10.00%	14.00%	24.00%	22.00%	11.00%	5.00%	5.00%	—	—
FC Copenhagen	5.00%	6.00%	6.00%	15.00%	13.00%	21.00%	18.00%	9.00%	5.00%	1.00%	1.00%	—
Viborg	—	—	—	—	1.00%	3.00%	5.00%	16.00%	15.00%	22.00%	18.00%	20.00%
Vejle BK	—	1.00%	3.00%	2.00%	4.00%	2.00%	14.00%	21.00%	23.00%	21.00%	5.00%	4.00%
Herfolge	—	—	—	—	—	2.00%	1.00%	2.00%	13.00%	10.00%	30.00%	42.00%
Ikast	—	—	1.00%	1.00%	1.00%	3.00%	6.00%	21.00%	17.00%	18.00%	17.00%	15.00%
Naestved	—	1.00%	—	—	2.00%	—	3.00%	10.00%	17.00%	19.00%	29.00%	19.00%

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
Aalborg	100%	—
Aarhus GF	100%	—
Brondby	100%	—
Lyngby	100%	—
Odense	100%	—
Silkeborg	100%	—
FC Copenhagen	99.00%	1.00%
Vejle BK	91.00%	9.00%
Ikast	68.00%	32.00%
Viborg	62.00%	38.00%
Naestved	52.00%	48.00%
Herfolge	28.00%	72.00%

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
1995-07-30	Silkeborg	D 0-0	66.0	1698	1733	39.93%	28.81%	31.27%	+0.18	-0.5	1
1995-07-30	@ Aarhus GF	D 0-0	66.0	1733	1698	31.27%	28.81%	39.93%	-0.18	+0.5	1
1995-07-30	Viborg	W 4-1	54.5	1713	1600	58.25%	25.19%	16.56%	+1.11	+10.9	3
1995-07-30	@ FC Copenhagen	L 1-4	54.5	1600	1713	16.56%	25.19%	58.25%	-1.11	-10.9	0
1995-07-30	Aalborg	L 0-3	56.2	1691	1779	32.44%	28.87%	38.70%	-0.15	-23.0	0
1995-07-30	@ Ikast	W 3-0	56.2	1779	1691	38.70%	28.87%	32.44%	+0.15	+23.0	3
1995-07-30	Naestved	D 1-1	70.4	1710	1698	46.25%	28.17%	25.59%	+0.48	-1.0	1
1995-07-30	@ Lyngby	D 1-1	70.4	1698	1710	25.59%	28.17%	46.25%	-0.48	+1.0	1
1995-07-30	Brondby	L 1-3	63.9	1678	1759	33.40%	28.90%	37.70%	-0.11	-14.0	0
1995-07-30	@ Vejle BK	W 3-1	63.9	1759	1678	37.70%	28.90%	33.40%	+0.11	+14.0	3
1995-08-02	FC Copenhagen	W 1-0	56.1	1802	1724	54.42%	26.41%	19.17%	+0.89	+5.4	6
1995-08-02	@ Aalborg	L 0-1	56.1	1724	1802	19.17%	26.41%	54.42%	-0.89	-5.4	3
1995-08-02	Lyngby	D 2-2	77.0	1773	1709	52.70%	26.87%	20.43%	+0.80	-1.2	4
1995-08-02	@ Brondby	D 2-2	77.0	1709	1773	20.43%	26.87%	52.70%	-0.80	+1.2	2
1995-08-02	Aarhus GF	L 2-4	71.1	1699	1697	44.96%	28.34%	26.69%	+0.41	-15.6	1
1995-08-02	@ Naestved	W 4-2	71.1	1697	1699	26.69%	28.34%	44.96%	-0.41	+15.6	4
1995-08-02	Ikast	W 2-0	54.0	1713	1668	50.43%	27.41%	22.16%	+0.68	+11.7	3
1995-08-02	@ Odense	L 0-2	54.0	1668	1713	22.16%	27.41%	50.43%	-0.68	-11.7	0
1995-08-02	Herfolge	W 1-0	52.2	1733	1578	62.75%	23.43%	13.82%	+1.38	+3.9	4
1995-08-02	@ Silkeborg	L 0-1	52.2	1578	1733	13.82%	23.43%	62.75%	-1.38	-3.9	0
1995-08-02	Vejle BK	L 0-2	56.6	1590	1664	34.39%	28.92%	36.69%	-0.06	-16.5	0
1995-08-02	@ Viborg	W 2-0	56.6	1664	1590	36.69%	28.92%	34.39%	+0.06	+16.5	3
1995-08-04	Brondby	W 3-1	64.4	1713	1772	36.61%	28.92%	34.47%	+0.03	+14.3	7
1995-08-04	@ Aarhus GF	L 1-3	64.4	1772	1713	34.47%	28.92%	36.61%	-0.03	-14.3	4
1995-08-04	Silkeborg	W 1-0	61.8	1657	1737	33.47%	28.90%	37.63%	-0.11	+9.3	3
1995-08-04	@ Ikast	L 0-1	61.8	1737	1657	37.63%	28.90%	33.47%	+0.11	-9.3	4
1995-08-05	Viborg	W 8-1	48.0	1808	1573	70.20%	19.84%	9.97%	+1.88	+13.4	9
1995-08-05	@ Aalborg	L 1-8	48.0	1573	1808	9.97%	19.84%	70.20%	-1.88	-13.5	0
1995-08-06	Odense	W 2-1	64.3	1719	1725	43.87%	28.48%	27.65%	+0.36	+7.0	6
1995-08-06	@ FC Copenhagen	L 1-2	64.3	1725	1719	27.65%	28.48%	43.87%	-0.36	-7.0	3
1995-08-06	Naestved	W 2-0	58.8	1574	1684	29.59%	28.68%	41.73%	-0.29	+19.0	3
1995-08-06	@ Herfolge	L 0-2	58.8	1684	1574	41.73%	28.68%	29.59%	+0.29	-19.0	1
1995-08-06	Vejle BK	W 3-0	52.8	1710	1680	48.60%	27.77%	23.62%	+0.59	+17.9	5
1995-08-06	@ Lyngby	L 0-3	52.8	1680	1710	23.62%	27.77%	48.60%	-0.59	-17.9	3
1995-08-09	Odense	L 1-2	63.3	1593	1718	27.74%	28.49%	43.77%	-0.38	-7.0	3
1995-08-09	@ Herfolge	W 2-1	63.3	1718	1593	43.77%	28.49%	27.74%	+0.38	+7.0	6
1995-08-11	Herfolge	W 3-2	62.7	1757	1586	64.32%	22.74%	12.94%	+1.48	+3.2	7
1995-08-11	@ Brondby	L 2-3	62.7	1586	1757	12.94%	22.74%	64.32%	-1.48	-3.3	3
1995-08-11	Aalborg	D 1-1	70.8	1725	1821	31.34%	28.81%	39.85%	-0.20	+0.4	7
1995-08-11	@ Odense	D 1-1	70.8	1821	1725	39.85%	28.81%	31.34%	+0.20	-0.4	10
1995-08-11	FC Copenhagen	W 3-1	61.8	1728	1726	45.01%	28.34%	26.65%	+0.42	+11.8	7
1995-08-11	@ Silkeborg	L 1-3	61.8	1726	1728	26.65%	28.34%	45.01%	-0.42	-11.8	6
1995-08-11	Aarhus GF	D 0-0	65.7	1662	1727	35.68%	28.93%	35.39%	-0.01	-0.0	4
1995-08-11	@ Vejle BK	D 0-0	65.7	1727	1662	35.39%	28.93%	35.68%	+0.01	+0.0	8
1995-08-13	Ikast	D 1-1	69.7	1665	1666	44.54%	28.40%	27.06%	+0.39	-0.9	2
1995-08-13	@ Naestved	D 1-1	69.7	1666	1665	27.06%	28.40%	44.54%	-0.39	+0.9	4
1995-08-13	Lyngby	L 0-2	53.3	1560	1728	22.98%	27.62%	49.40%	-0.66	-12.0	0
1995-08-13	@ Viborg	W 2-0	53.3	1728	1560	49.40%	27.62%	22.98%	+0.66	+12.0	8
1995-08-18	Silkeborg	W 4-1	57.0	1821	1740	54.74%	26.32%	18.94%	+0.91	+12.4	13
1995-08-18	@ Aalborg	L 1-4	57.0	1740	1821	18.94%	26.32%	54.74%	-0.91	-12.4	7
1995-08-18	Brondby	L 1-2	65.6	1667	1760	31.70%	28.83%	39.47%	-0.19	-7.8	4
1995-08-18	@ Ikast	W 2-1	65.6	1760	1667	39.47%	28.83%	31.70%	+0.19	+7.8	10
1995-08-20	Lyngby	W 2-1	64.7	1727	1740	42.97%	28.57%	28.46%	+0.32	+7.2	11
1995-08-20	@ Aarhus GF	L 1-2	64.7	1740	1727	28.46%	28.57%	42.97%	-0.32	-7.2	8
1995-08-20	Naestved	W 3-1	59.5	1714	1664	51.05%	27.27%	21.68%	+0.71	+9.9	9
1995-08-20	@ FC Copenhagen	L 1-3	59.5	1664	1714	21.68%	27.27%	51.05%	-0.71	-9.9	2
1995-08-20	Vejle BK	L 2-4	66.1	1582	1662	33.60%	28.91%	37.50%	-0.10	-12.6	3
1995-08-20	@ Herfolge	W 4-2	66.1	1662	1582	37.50%	28.91%	33.60%	+0.10	+12.6	7
1995-08-20	Viborg	W 3-1	54.2	1725	1548	64.91%	22.47%	12.62%	+1.52	+5.8	10
1995-08-20	@ Odense	L 1-3	54.2	1548	1725	12.62%	22.47%	64.91%	-1.52	-5.8	0
1995-08-27	FC Copenhagen	L 1-4	66.5	1768	1724	50.39%	27.41%	22.19%	+0.68	-27.1	10
1995-08-27	@ Brondby	W 4-1	66.5	1724	1768	22.19%	27.41%	50.39%	-0.68	+27.1	12
1995-08-27	Herfolge	W 2-0	49.3	1733	1570	63.49%	23.11%	13.40%	+1.43	+7.1	11
1995-08-27	@ Lyngby	L 0-2	49.3	1570	1733	13.40%	23.11%	63.49%	-1.43	-7.1	3
1995-08-27	Aalborg	D 1-1	71.1	1654	1833	21.93%	27.34%	50.73%	-0.73	+1.4	3
1995-08-27	@ Naestved	D 1-1	71.1	1833	1654	50.73%	27.34%	21.93%	+0.73	-1.5	14
1995-08-27	Odense	W 2-1	64.3	1727	1731	44.21%	28.44%	27.35%	+0.38	+7.0	10
1995-08-27	@ Silkeborg	L 1-2	64.3	1731	1727	27.35%	28.44%	44.21%	-0.38	-7.0	10
1995-08-27	Ikast	D 1-1	69.8	1675	1659	46.77%	28.09%	25.15%	+0.50	-1.1	8
1995-08-27	@ Vejle BK	D 1-1	69.8	1659	1675	25.15%	28.09%	46.77%	-0.50	+1.1	5
1995-08-27	Aarhus GF	D 1-1	69.4	1542	1734	20.70%	26.97%	52.33%	-0.81	+1.6	1
1995-08-27	@ Viborg	D 1-1	69.4	1734	1542	52.33%	26.97%	20.70%	+0.81	-1.6	12
1995-09-01	Brondby	L 0-3	62.7	1832	1741	55.82%	25.99%	18.19%	+0.97	-34.9	14
1995-09-01	@ Aalborg	W 3-0	62.7	1741	1832	18.19%	25.99%	55.82%	-0.97	+34.9	13
1995-09-01	Vejle BK	L 1-2	71.6	1751	1674	54.26%	26.45%	19.28%	+0.89	-11.7	12
1995-09-01	@ FC Copenhagen	W 2-1	71.6	1674	1751	19.28%	26.45%	54.26%	-0.89	+11.8	11
1995-09-01	Naestved	W 5-0	51.0	1724	1655	53.29%	26.72%	19.99%	+0.83	+24.9	13
1995-09-01	@ Odense	L 0-5	51.0	1655	1724	19.99%	26.72%	53.29%	-0.83	-24.9	3
1995-09-03	Aarhus GF	L 1-5	55.1	1563	1733	22.83%	27.58%	49.58%	-0.67	-18.9	3
1995-09-03	@ Herfolge	W 5-1	55.1	1733	1563	49.58%	27.58%	22.83%	+0.67	+18.9	15
1995-09-03	Lyngby	L 0-4	55.6	1660	1740	33.54%	28.90%	37.55%	-0.10	-30.8	5
1995-09-03	@ Ikast	W 4-0	55.6	1740	1660	37.55%	28.90%	33.54%	+0.10	+30.8	14
1995-09-03	Viborg	L 0-2	64.4	1734	1543	66.18%	21.87%	11.95%	+1.60	-27.5	10
1995-09-03	@ Silkeborg	W 2-0	64.4	1543	1734	11.95%	21.87%	66.18%	-1.60	+27.5	4
1995-09-08	Odense	D 1-1	71.0	1776	1749	48.22%	27.84%	23.94%	+0.57	-1.2	14
1995-09-08	@ Brondby	D 1-1	71.0	1749	1776	23.94%	27.84%	48.22%	-0.57	+1.2	14
1995-09-08	Silkeborg	W 1-0	61.1	1630	1707	34.08%	28.92%	37.00%	-0.08	+9.2	6
1995-09-08	@ Naestved	L 0-1	61.1	1707	1630	37.00%	28.92%	34.08%	+0.08	-9.2	10
1995-09-10	Ikast	W 3-0	49.5	1752	1629	59.30%	24.81%	15.89%	+1.17	+12.4	18
1995-09-10	@ Aarhus GF	L 0-3	49.5	1629	1752	15.89%	24.81%	59.30%	-1.17	-12.4	5
1995-09-10	FC Copenhagen	D 2-2	76.8	1771	1739	48.83%	27.73%	23.44%	+0.60	-1.0	15
1995-09-10	@ Lyngby	D 2-2	76.8	1739	1771	23.44%	27.73%	48.83%	-0.60	+1.0	13
1995-09-10	Aalborg	L 1-3	62.8	1685	1797	29.41%	28.67%	41.93%	-0.30	-12.7	11
1995-09-10	@ Vejle BK	W 3-1	62.8	1797	1685	41.93%	28.67%	29.41%	+0.30	+12.7	17
1995-09-10	Herfolge	W 2-1	57.8	1571	1544	48.22%	27.84%	23.94%	+0.57	+6.2	7
1995-09-10	@ Viborg	L 1-2	57.8	1544	1571	23.94%	27.84%	48.22%	-0.57	-6.2	3
1995-09-17	Lyngby	L 0-1	65.7	1810	1770	49.79%	27.54%	22.67%	+0.65	-11.6	17
1995-09-17	@ Aalborg	W 1-0	65.7	1770	1810	22.67%	27.54%	49.79%	-0.65	+11.6	18
1995-09-17	Aarhus GF	L 1-3	66.5	1740	1764	41.43%	28.71%	29.86%	+0.25	-16.4	13
1995-09-17	@ FC Copenhagen	W 3-1	66.5	1764	1740	29.86%	28.71%	41.43%	-0.25	+16.4	21
1995-09-17	Herfolge	W 1-0	51.7	1617	1538	54.53%	26.38%	19.09%	+0.90	+5.4	8
1995-09-17	@ Ikast	L 0-1	51.7	1538	1617	19.09%	26.38%	54.53%	-0.90	-5.4	3
1995-09-17	Viborg	W 6-2	54.8	1640	1577	52.56%	26.91%	20.53%	+0.79	+14.6	9
1995-09-17	@ Naestved	L 2-6	54.8	1577	1640	20.53%	26.91%	52.56%	-0.79	-14.6	7
1995-09-17	Vejle BK	W 1-0	55.7	1750	1673	54.31%	26.44%	19.25%	+0.89	+5.4	17
1995-09-17	@ Odense	L 0-1	55.7	1673	1750	19.25%	26.44%	54.31%	-0.89	-5.5	11
1995-09-17	Brondby	W 2-0	59.4	1697	1775	33.93%	28.91%	37.16%	-0.08	+17.5	13
1995-09-17	@ Silkeborg	L 0-2	59.4	1775	1697	37.16%	28.91%	33.93%	+0.08	-17.4	14
1995-09-20	Aalborg	W 1-0	59.8	1781	1798	42.35%	28.63%	29.02%	+0.29	+7.7	24
1995-09-20	@ Aarhus GF	L 0-1	59.8	1798	1781	29.02%	28.63%	42.35%	-0.29	-7.7	17
1995-09-20	Naestved	W 6-1	52.9	1757	1654	57.21%	25.55%	17.25%	+1.05	+17.9	17
1995-09-20	@ Brondby	L 1-6	52.9	1654	1757	17.25%	25.55%	57.21%	-1.05	-17.9	9
1995-09-20	FC Copenhagen	L 0-3	50.2	1532	1724	20.82%	27.00%	52.18%	-0.80	-16.1	3
1995-09-20	@ Herfolge	W 3-0	50.2	1724	1532	52.18%	27.00%	20.82%	+0.80	+16.0	16
1995-09-20	Odense	L 0-2	62.6	1782	1756	48.07%	27.87%	24.06%	+0.56	-21.3	18
1995-09-20	@ Lyngby	W 2-0	62.6	1756	1782	24.06%	27.87%	48.07%	-0.56	+21.3	20
1995-09-20	Silkeborg	D 1-1	70.0	1667	1715	38.16%	28.89%	32.96%	+0.10	-0.2	12
1995-09-20	@ Vejle BK	D 1-1	70.0	1715	1667	32.96%	28.89%	38.16%	-0.10	+0.2	14
1995-09-20	Ikast	W 3-1	61.0	1562	1622	36.43%	28.92%	34.65%	+0.03	+14.4	10
1995-09-20	@ Viborg	L 1-3	61.0	1622	1562	34.65%	28.92%	36.43%	-0.03	-14.4	8
1995-09-22	Lyngby	D 1-1	70.6	1715	1760	38.51%	28.87%	32.61%	+0.12	-0.3	15
1995-09-22	@ Silkeborg	D 1-1	70.6	1760	1715	32.61%	28.87%	38.51%	-0.12	+0.3	19
1995-09-22	Brondby	D 2-2	76.2	1577	1775	20.19%	26.79%	53.02%	-0.85	+1.3	11
1995-09-22	@ Viborg	D 2-2	76.2	1775	1577	53.02%	26.79%	20.19%	+0.85	-1.2	18
1995-09-24	Herfolge	W 4-0	44.0	1790	1516	73.55%	17.99%	8.46%	+2.12	+7.9	20
1995-09-24	@ Aalborg	L 0-4	44.0	1516	1790	8.46%	17.99%	73.55%	-2.12	-7.9	3
1995-09-24	Ikast	D 1-1	71.1	1740	1608	60.28%	24.44%	15.28%	+1.23	-2.4	17
1995-09-24	@ FC Copenhagen	D 1-1	71.1	1608	1740	15.28%	24.44%	60.28%	-1.23	+2.4	9
1995-09-24	Vejle BK	D 0-0	65.0	1636	1667	40.55%	28.77%	30.69%	+0.21	-0.5	10
1995-09-24	@ Naestved	D 0-0	65.0	1667	1636	30.69%	28.77%	40.55%	-0.21	+0.5	13
1995-09-24	Aarhus GF	W 1-0	59.6	1777	1788	43.18%	28.55%	28.27%	+0.33	+7.6	23
1995-09-24	@ Odense	L 0-1	59.6	1788	1777	28.27%	28.55%	43.18%	-0.33	-7.6	24
1995-10-01	Odense	W 3-0	54.2	1798	1784	46.51%	28.13%	25.36%	+0.49	+19.0	23
1995-10-01	@ Aalborg	L 0-3	54.2	1784	1798	25.36%	28.13%	46.51%	-0.49	-19.0	23
1995-10-01	Vejle BK	D 0-0	67.2	1781	1668	58.31%	25.17%	16.53%	+1.11	-2.5	25
1995-10-01	@ Aarhus GF	D 0-0	67.2	1668	1781	16.53%	25.17%	58.31%	-1.11	+2.5	14
1995-10-01	Silkeborg	W 1-0	57.9	1737	1715	47.61%	27.95%	24.44%	+0.54	+6.7	20
1995-10-01	@ FC Copenhagen	L 0-1	57.9	1715	1737	24.44%	27.95%	47.61%	-0.54	-6.7	15
1995-10-01	Brondby	L 0-1	52.5	1508	1774	15.14%	24.35%	60.51%	-1.27	-4.3	3
1995-10-01	@ Herfolge	W 1-0	52.5	1774	1508	60.51%	24.35%	15.14%	+1.27	+4.3	21
1995-10-01	Naestved	L 1-2	66.5	1610	1636	41.25%	28.72%	30.03%	+0.24	-9.4	9
1995-10-01	@ Ikast	W 2-1	66.5	1636	1610	30.03%	28.72%	41.25%	-0.24	+9.4	13
1995-10-01	Viborg	W 4-0	46.8	1761	1578	65.38%	22.25%	12.37%	+1.55	+12.4	22
1995-10-01	@ Lyngby	L 0-4	46.8	1578	1761	12.37%	22.25%	65.38%	-1.55	-12.4	11
1995-10-06	Aarhus GF	L 1-2	69.8	1778	1778	44.72%	28.37%	26.90%	+0.40	-10.0	21
1995-10-06	@ Brondby	W 2-1	69.8	1778	1778	26.90%	28.37%	44.72%	-0.40	+10.0	28
1995-10-06	FC Copenhagen	D 0-0	66.6	1765	1744	47.50%	27.97%	24.53%	+0.54	-1.3	24
1995-10-06	@ Odense	D 0-0	66.6	1744	1765	24.53%	27.97%	47.50%	-0.54	+1.3	21
1995-10-06	Ikast	D 1-1	70.4	1708	1601	57.66%	25.39%	16.94%	+1.08	-2.1	16
1995-10-06	@ Silkeborg	D 1-1	70.4	1601	1708	16.94%	25.39%	57.66%	-1.08	+2.1	10
1995-10-06	Aalborg	W 4-0	61.9	1566	1817	16.09%	24.93%	58.98%	-1.18	+47.7	14
1995-10-06	@ Viborg	L 0-4	61.9	1817	1566	58.98%	24.93%	16.09%	+1.18	-47.7	23
1995-10-08	Herfolge	W 3-2	60.1	1645	1504	61.29%	24.04%	14.67%	+1.29	+3.7	16
1995-10-08	@ Naestved	L 2-3	60.1	1504	1645	14.67%	24.04%	61.29%	-1.29	-3.7	3
1995-10-08	Lyngby	L 0-3	55.5	1670	1773	30.48%	28.76%	40.76%	-0.25	-21.9	14
1995-10-08	@ Vejle BK	W 3-0	55.5	1773	1670	40.76%	28.76%	30.48%	+0.25	+21.9	25
1995-10-13	Aalborg	W 2-1	65.4	1745	1770	41.42%	28.71%	29.87%	+0.25	+7.4	24
1995-10-13	@ FC Copenhagen	L 1-2	65.4	1770	1745	29.87%	28.71%	41.42%	-0.25	-7.4	23
1995-10-13	Brondby	L 1-3	68.4	1795	1768	48.14%	27.86%	24.00%	+0.57	-18.4	25
1995-10-13	@ Lyngby	W 3-1	68.4	1768	1795	24.00%	27.86%	48.14%	-0.57	+18.4	24
1995-10-15	Naestved	W 3-0	49.4	1788	1649	61.07%	24.13%	14.80%	+1.28	+11.5	31
1995-10-15	@ Aarhus GF	L 0-3	49.4	1649	1788	14.80%	24.13%	61.07%	-1.28	-11.5	16
1995-10-15	Silkeborg	W 5-2	67.2	1500	1706	19.55%	26.56%	53.89%	-0.89	+24.8	6
1995-10-15	@ Herfolge	L 2-5	67.2	1706	1500	53.89%	26.56%	19.55%	+0.89	-24.8	16
1995-10-15	Odense	L 1-3	60.2	1603	1764	23.74%	27.80%	48.46%	-0.61	-10.7	10
1995-10-15	@ Ikast	W 3-1	60.2	1764	1603	48.46%	27.80%	23.74%	+0.61	+10.7	27
1995-10-15	Viborg	D 3-3	78.9	1648	1613	49.16%	27.67%	23.17%	+0.62	-0.8	15
1995-10-15	@ Vejle BK	D 3-3	78.9	1613	1648	23.17%	27.67%	49.16%	-0.62	+0.8	15
1995-10-20	Ikast	W 3-0	47.9	1762	1592	64.15%	22.82%	13.04%	+1.47	+10.1	26
1995-10-20	@ Aalborg	L 0-3	47.9	1592	1762	13.04%	22.82%	64.15%	-1.47	-10.0	10
1995-10-22	Vejle BK	W 4-0	48.8	1787	1647	61.10%	24.12%	14.78%	+1.28	+15.0	27
1995-10-22	@ Brondby	L 0-4	48.8	1647	1787	14.78%	24.12%	61.10%	-1.28	-15.0	15
1995-10-22	Lyngby	L 1-4	59.1	1637	1776	26.13%	28.26%	45.61%	-0.47	-16.4	16
1995-10-22	@ Naestved	W 4-1	59.1	1776	1637	45.61%	28.26%	26.13%	+0.47	+16.4	28
1995-10-22	Herfolge	L 0-2	65.5	1775	1525	71.51%	19.12%	9.36%	+1.97	-29.1	27
1995-10-22	@ Odense	W 2-0	65.5	1525	1775	9.36%	19.12%	71.51%	-1.97	+29.1	9
1995-10-22	Aarhus GF	L 0-3	55.0	1681	1800	28.54%	28.58%	42.89%	-0.34	-20.9	16
1995-10-22	@ Silkeborg	W 3-0	55.0	1800	1681	42.89%	28.58%	28.54%	+0.34	+20.9	34
1995-10-22	FC Copenhagen	D 2-2	75.9	1614	1753	26.19%	28.27%	45.54%	-0.47	+0.7	16
1995-10-22	@ Viborg	D 2-2	75.9	1753	1614	45.54%	28.27%	26.19%	+0.47	-0.7	25
1995-10-27	Viborg	W 4-0	47.3	1802	1615	65.80%	22.05%	12.15%	+1.58	+12.1	30
1995-10-27	@ Brondby	L 0-4	47.3	1615	1802	12.15%	22.05%	65.80%	-1.58	-12.1	16
1995-10-27	Aalborg	D 1-1	70.3	1554	1772	18.55%	26.15%	55.30%	-0.97	+1.9	10
1995-10-27	@ Herfolge	D 1-1	70.3	1772	1554	55.30%	26.15%	18.55%	+0.97	-1.9	27
1995-10-29	Odense	D 2-2	77.3	1821	1746	54.01%	26.52%	19.47%	+0.87	-1.3	35
1995-10-29	@ Aarhus GF	D 2-2	77.3	1746	1821	19.47%	26.52%	54.01%	-0.87	+1.3	28
1995-10-29	FC Copenhagen	W 4-2	71.7	1582	1752	22.87%	27.59%	49.53%	-0.66	+16.9	13
1995-10-29	@ Ikast	L 2-4	71.7	1752	1582	49.53%	27.59%	22.87%	+0.66	-16.9	25
1995-10-29	Silkeborg	L 1-2	73.0	1793	1660	60.36%	24.41%	15.23%	+1.23	-12.8	28
1995-10-29	@ Lyngby	W 2-1	73.0	1660	1793	15.23%	24.41%	60.36%	-1.23	+12.8	19
1995-10-29	Naestved	W 2-0	53.7	1632	1621	46.17%	28.18%	25.66%	+0.47	+13.2	18
1995-10-29	@ Vejle BK	L 0-2	53.7	1621	1632	25.66%	28.18%	46.17%	-0.47	-13.2	16
1995-11-05	Aarhus GF	L 2-4	69.9	1770	1819	37.96%	28.89%	33.15%	+0.09	-13.7	27
1995-11-05	@ Aalborg	W 4-2	69.9	1819	1770	33.15%	28.89%	37.96%	-0.09	+13.7	38
1995-11-05	Herfolge	D 0-0	66.7	1735	1556	65.06%	22.40%	12.54%	+1.53	-3.1	26
1995-11-05	@ FC Copenhagen	D 0-0	66.7	1556	1735	12.54%	22.40%	65.06%	-1.53	+3.1	11
1995-11-05	Viborg	D 1-1	67.6	1599	1603	44.21%	28.44%	27.35%	+0.38	-0.8	14
1995-11-05	@ Ikast	D 1-1	67.6	1603	1599	27.35%	28.44%	44.21%	-0.38	+0.8	17
1995-11-05	Brondby	L 0-1	55.8	1608	1814	19.54%	26.55%	53.91%	-0.89	-5.5	16
1995-11-05	@ Naestved	W 1-0	55.8	1814	1608	53.91%	26.55%	19.54%	+0.89	+5.5	33
1995-11-05	Lyngby	D 2-2	76.5	1747	1780	40.23%	28.79%	30.98%	+0.19	-0.3	29
1995-11-05	@ Odense	D 2-2	76.5	1780	1747	30.98%	28.79%	40.23%	-0.19	+0.3	29
1995-11-05	Vejle BK	L 1-2	69.3	1673	1645	48.31%	27.83%	23.87%	+0.58	-10.7	19
1995-11-05	@ Silkeborg	W 2-1	69.3	1645	1673	23.87%	27.83%	48.31%	-0.58	+10.7	21
1995-11-10	FC Copenhagen	W 2-0	52.8	1833	1732	56.98%	25.62%	17.40%	+1.04	+9.3	41
1995-11-10	@ Aarhus GF	L 0-2	52.8	1732	1833	17.40%	25.62%	56.98%	-1.04	-9.3	26
1995-11-10	Silkeborg	W 4-1	54.3	1819	1663	62.87%	23.38%	13.75%	+1.39	+9.0	36
1995-11-10	@ Brondby	L 1-4	54.3	1663	1819	13.75%	23.38%	62.87%	-1.39	-9.0	19
1995-11-10	Aalborg	D 0-0	66.7	1780	1757	47.81%	27.92%	24.28%	+0.55	-1.3	30
1995-11-10	@ Lyngby	D 0-0	66.7	1757	1780	24.28%	27.92%	47.81%	-0.55	+1.3	28
1995-11-10	Odense	D 1-1	70.2	1656	1747	32.10%	28.85%	39.05%	-0.17	+0.3	22
1995-11-10	@ Vejle BK	D 1-1	70.2	1747	1656	39.05%	28.85%	32.10%	+0.17	-0.3	30
1995-11-12	Ikast	W 1-0	56.3	1559	1598	39.34%	28.84%	31.83%	+0.15	+8.3	14
1995-11-12	@ Herfolge	L 0-1	56.3	1598	1559	31.83%	28.84%	39.34%	-0.15	-8.3	14
1995-11-12	Naestved	W 4-0	50.9	1604	1602	44.88%	28.35%	26.77%	+0.41	+25.9	20
1995-11-12	@ Viborg	L 0-4	50.9	1602	1604	26.77%	28.35%	44.88%	-0.41	-25.9	16
1995-11-17	Brondby	L 0-3	56.8	1746	1828	33.29%	28.90%	37.81%	-0.11	-23.4	30
1995-11-17	@ Odense	W 3-0	56.8	1828	1746	37.81%	28.90%	33.29%	+0.11	+23.4	39
1995-11-19	Lyngby	D 2-2	76.4	1723	1779	36.90%	28.92%	34.18%	+0.05	-0.1	27
1995-11-19	@ FC Copenhagen	D 2-2	76.4	1779	1723	34.18%	28.92%	36.90%	-0.05	+0.1	31
1995-11-19	Viborg	D 3-3	77.3	1567	1630	36.07%	28.93%	35.00%	+0.01	-0.0	15
1995-11-19	@ Herfolge	D 3-3	77.3	1630	1567	35.00%	28.93%	36.07%	-0.01	+0.0	21
1995-11-26	Herfolge	W 3-0	45.4	1842	1567	73.62%	17.95%	8.43%	+2.13	+6.0	44
1995-11-26	@ Aarhus GF	L 0-3	45.4	1567	1842	8.43%	17.95%	73.62%	-2.13	-6.0	15
1995-11-26	Aalborg	W 1-0	55.7	1852	1758	56.20%	25.87%	17.93%	+0.99	+5.1	42
1995-11-26	@ Brondby	L 0-1	55.7	1758	1852	17.93%	25.87%	56.20%	-0.99	-5.1	28
1995-11-26	Ikast	W 3-2	62.5	1779	1590	66.01%	21.95%	12.03%	+1.59	+3.0	34
1995-11-26	@ Lyngby	L 2-3	62.5	1590	1779	12.03%	21.95%	66.01%	-1.59	-3.0	14
1995-11-26	Odense	L 0-4	52.0	1576	1723	25.28%	28.11%	46.61%	-0.52	-24.8	16
1995-11-26	@ Naestved	W 4-0	52.0	1723	1576	46.61%	28.11%	25.28%	+0.52	+24.8	33
1995-11-26	FC Copenhagen	L 0-1	61.0	1656	1722	35.53%	28.93%	35.54%	-0.01	-9.0	22
1995-11-26	@ Vejle BK	W 1-0	61.0	1722	1656	35.54%	28.93%	35.53%	+0.01	+9.0	30
1995-11-26	Silkeborg	L 0-3	57.3	1630	1654	41.47%	28.70%	29.83%	+0.25	-27.5	21
1995-11-26	@ Viborg	W 3-0	57.3	1654	1630	29.83%	28.70%	41.47%	-0.25	+27.5	22
1995-11-29	Vejle BK	W 1-0	54.6	1753	1647	57.44%	25.47%	17.09%	+1.06	+4.9	31
1995-11-29	@ Aalborg	L 0-1	54.6	1647	1753	17.09%	25.47%	57.44%	-1.06	-4.9	22
1995-11-29	Aarhus GF	D 2-2	77.4	1587	1848	15.44%	24.54%	60.03%	-1.24	+1.8	15
1995-11-29	@ Ikast	D 2-2	77.4	1848	1587	60.03%	24.54%	15.44%	+1.24	-1.8	45
1995-11-29	Naestved	W 5-0	47.1	1681	1552	60.04%	24.53%	15.43%	+1.21	+19.4	25
1995-11-29	@ Silkeborg	L 0-5	47.1	1552	1681	15.43%	24.53%	60.04%	-1.21	-19.4	16
1996-03-24	Brondby	L 0-3	55.0	1731	1857	27.69%	28.48%	43.83%	-0.39	-20.4	30
1996-03-24	@ FC Copenhagen	W 3-0	55.0	1857	1731	43.83%	28.48%	27.69%	+0.39	+20.4	45
1996-03-24	Vejle BK	W 2-1	64.0	1589	1643	37.29%	28.91%	33.80%	+0.06	+8.2	18
1996-03-24	@ Ikast	L 1-2	64.0	1643	1589	33.80%	28.91%	37.29%	-0.06	-8.1	22
1996-03-31	Herfolge	D 1-1	73.6	1847	1561	74.46%	17.47%	8.07%	+2.19	-3.6	46
1996-03-31	@ Aarhus GF	D 1-1	73.6	1561	1847	8.07%	17.47%	74.46%	-2.19	+3.5	16
1996-03-31	Viborg	D 1-1	73.9	1877	1602	73.63%	17.94%	8.43%	+2.13	-3.5	46
1996-03-31	@ Brondby	D 1-1	73.9	1602	1877	8.43%	17.94%	73.63%	-2.13	+3.5	22
1996-03-31	Aalborg	D 1-1	70.1	1597	1758	23.79%	27.81%	48.40%	-0.61	+1.2	19
1996-03-31	@ Ikast	D 1-1	70.1	1758	1597	48.40%	27.81%	23.79%	+0.61	-1.2	32
1996-03-31	FC Copenhagen	L 1-2	65.7	1634	1711	34.03%	28.92%	37.06%	-0.08	-8.2	22
1996-03-31	@ Vejle BK	W 2-1	65.7	1711	1634	37.06%	28.92%	34.03%	+0.08	+8.2	33
1996-04-04	Vejle BK	W 2-0	51.1	1756	1626	60.11%	24.50%	15.38%	+1.22	+8.3	35
1996-04-04	@ Aalborg	L 0-2	51.1	1626	1756	15.38%	24.50%	60.11%	-1.22	-8.3	22
1996-04-04	Naestved	D 1-1	70.5	1719	1532	65.81%	22.05%	12.14%	+1.58	-2.9	34
1996-04-04	@ FC Copenhagen	D 1-1	70.5	1532	1719	12.14%	22.05%	65.81%	-1.58	+2.9	17
1996-04-04	Brondby	D 0-0	68.0	1565	1874	12.65%	22.50%	64.85%	-1.54	+3.1	17
1996-04-04	@ Herfolge	D 0-0	68.0	1874	1565	64.85%	22.50%	12.65%	+1.54	-3.1	47
1996-04-04	Ikast	W 2-0	50.1	1748	1598	62.13%	23.69%	14.18%	+1.34	+7.6	36
1996-04-04	@ Odense	L 0-2	50.1	1598	1748	14.18%	23.69%	62.13%	-1.34	-7.6	19
1996-04-04	Aarhus GF	W 2-1	70.1	1700	1843	25.71%	28.19%	46.10%	-0.50	+10.3	28
1996-04-04	@ Silkeborg	L 1-2	70.1	1843	1700	46.10%	28.19%	25.71%	+0.50	-10.3	46
1996-04-04	Lyngby	L 0-2	54.0	1606	1782	22.20%	27.42%	50.38%	-0.71	-11.7	22
1996-04-04	@ Viborg	W 2-0	54.0	1782	1606	50.38%	27.42%	22.20%	+0.71	+11.7	37
1996-04-08	Ikast	W 1-0	50.0	1871	1591	74.03%	17.72%	8.26%	+2.16	+2.2	50
1996-04-08	@ Brondby	L 0-1	50.0	1591	1871	8.26%	17.72%	74.03%	-2.16	-2.1	19
1996-04-08	Aarhus GF	L 0-1	63.1	1794	1833	39.38%	28.84%	31.78%	+0.16	-9.7	37
1996-04-08	@ Lyngby	W 1-0	63.1	1833	1794	31.78%	28.84%	39.38%	-0.16	+9.7	49
1996-04-08	FC Copenhagen	D 2-2	74.7	1535	1716	21.76%	27.29%	50.95%	-0.74	+1.1	18
1996-04-08	@ Naestved	D 2-2	74.7	1716	1535	50.95%	27.29%	21.76%	+0.74	-1.1	35
1996-04-08	Aalborg	W 2-1	66.5	1711	1765	37.27%	28.91%	33.82%	+0.06	+8.1	31
1996-04-08	@ Silkeborg	L 1-2	66.5	1765	1711	33.82%	28.91%	37.27%	-0.06	-8.1	35
1996-04-08	Herfolge	W 2-1	58.9	1618	1568	51.07%	27.27%	21.67%	+0.72	+5.7	25
1996-04-08	@ Vejle BK	L 1-2	58.9	1568	1618	21.67%	27.27%	51.07%	-0.72	-5.7	17
1996-04-08	Odense	W 2-1	69.7	1594	1755	23.70%	27.79%	48.51%	-0.61	+10.7	25
1996-04-08	@ Viborg	L 1-2	69.7	1755	1594	48.51%	27.79%	23.70%	+0.61	-10.7	36
1996-04-14	Silkeborg	L 0-1	65.4	1756	1719	49.53%	27.59%	22.87%	+0.64	-11.6	35
1996-04-14	@ Aalborg	W 1-0	65.4	1719	1756	22.87%	27.59%	49.53%	-0.64	+11.6	34
1996-04-14	Naestved	W 3-1	52.0	1842	1536	76.09%	16.52%	7.40%	+2.32	+3.1	52
1996-04-14	@ Aarhus GF	L 1-3	52.0	1536	1842	7.40%	16.52%	76.09%	-2.32	-3.1	18
1996-04-14	Vejle BK	W 6-0	46.7	1873	1624	71.44%	19.16%	9.39%	+1.97	+13.1	53
1996-04-14	@ Brondby	L 0-6	46.7	1624	1873	9.39%	19.16%	71.44%	-1.97	-13.2	25
1996-04-14	Viborg	W 2-0	51.1	1715	1605	58.03%	25.26%	16.70%	+1.10	+9.0	38
1996-04-14	@ FC Copenhagen	L 0-2	51.1	1605	1715	16.70%	25.26%	58.03%	-1.10	-9.0	25
1996-04-14	Lyngby	L 0-5	51.1	1588	1784	20.43%	26.87%	52.70%	-0.83	-25.4	19
1996-04-14	@ Ikast	W 5-0	51.1	1784	1588	52.70%	26.87%	20.43%	+0.83	+25.4	40
1996-04-14	Herfolge	W 5-1	50.5	1745	1562	65.38%	22.25%	12.37%	+1.55	+10.3	39
1996-04-14	@ Odense	L 1-5	50.5	1562	1745	12.37%	22.25%	65.38%	-1.55	-10.3	17
1996-04-17	Naestved	W 4-0	45.2	1745	1533	68.12%	20.92%	10.96%	+1.73	+10.8	38
1996-04-17	@ Aalborg	L 0-4	45.2	1533	1745	10.96%	20.92%	68.12%	-1.73	-10.8	18
1996-04-17	Viborg	D 1-1	73.3	1846	1596	71.51%	19.13%	9.36%	+1.97	-3.3	53
1996-04-17	@ Aarhus GF	D 1-1	73.3	1596	1846	9.36%	19.13%	71.51%	-1.97	+3.3	26
1996-04-17	Lyngby	D 2-2	76.9	1552	1810	15.67%	24.68%	59.65%	-1.22	+1.7	18
1996-04-17	@ Herfolge	D 2-2	76.9	1810	1552	59.65%	24.68%	15.67%	+1.22	-1.7	41
1996-04-17	Silkeborg	W 1-0	57.9	1755	1730	47.90%	27.90%	24.20%	+0.56	+6.7	42
1996-04-17	@ Odense	L 0-1	57.9	1730	1755	24.20%	27.90%	47.90%	-0.56	-6.7	34
1996-04-21	Ikast	D 1-1	73.5	1842	1563	73.95%	17.76%	8.29%	+2.15	-3.5	54
1996-04-21	@ Aarhus GF	D 1-1	73.5	1563	1842	8.29%	17.76%	73.95%	-2.15	+3.5	20
1996-04-21	Herfolge	W 2-1	56.7	1724	1554	64.23%	22.78%	12.99%	+1.47	+3.4	41
1996-04-21	@ FC Copenhagen	L 1-2	56.7	1554	1724	12.99%	22.78%	64.23%	-1.47	-3.4	18
1996-04-21	Vejle BK	D 1-1	72.5	1808	1611	66.79%	21.58%	11.63%	+1.64	-3.0	42
1996-04-21	@ Lyngby	D 1-1	72.5	1611	1808	11.63%	21.58%	66.79%	-1.64	+3.0	26
1996-04-21	Brondby	L 0-1	50.9	1522	1886	10.10%	19.99%	69.91%	-1.88	-2.7	18
1996-04-21	@ Naestved	W 1-0	50.9	1886	1522	69.91%	19.99%	10.10%	+1.88	+2.7	56
1996-04-21	Odense	D 1-1	70.6	1724	1762	39.53%	28.83%	31.64%	+0.16	-0.4	35
1996-04-21	@ Silkeborg	D 1-1	70.6	1762	1724	31.64%	28.83%	39.53%	-0.16	+0.4	43
1996-04-21	Aalborg	L 0-2	54.5	1599	1756	24.20%	27.90%	47.90%	-0.58	-12.6	26
1996-04-21	@ Viborg	W 2-0	54.5	1756	1599	47.90%	27.90%	24.20%	+0.58	+12.6	41
1996-04-28	Aarhus GF	W 2-1	67.5	1768	1839	34.90%	28.93%	36.17%	-0.04	+8.6	44
1996-04-28	@ Aalborg	L 1-2	67.5	1839	1768	36.17%	28.93%	34.90%	+0.04	-8.5	54
1996-04-28	FC Copenhagen	W 4-0	51.2	1805	1728	54.28%	26.45%	19.27%	+0.89	+19.5	45
1996-04-28	@ Lyngby	L 0-4	51.2	1728	1805	19.27%	26.45%	54.28%	-0.89	-19.5	41
1996-04-28	Ikast	L 0-2	53.4	1520	1567	38.27%	28.88%	32.85%	+0.11	-17.8	18
1996-04-28	@ Naestved	W 2-0	53.4	1567	1520	32.85%	28.88%	38.27%	-0.11	+17.8	23
1996-04-28	Brondby	W 2-0	61.8	1762	1889	27.55%	28.46%	43.99%	-0.39	+19.8	46
1996-04-28	@ Odense	L 0-2	61.8	1889	1762	43.99%	28.46%	27.55%	+0.39	-19.8	56
1996-04-28	Herfolge	W 1-0	51.2	1723	1550	64.48%	22.67%	12.85%	+1.49	+3.6	38
1996-04-28	@ Silkeborg	L 0-1	51.2	1550	1723	12.85%	22.67%	64.48%	-1.49	-3.6	18
1996-04-28	Viborg	L 0-1	62.0	1614	1586	48.22%	27.84%	23.94%	+0.57	-11.3	26
1996-04-28	@ Vejle BK	W 1-0	62.0	1586	1614	23.94%	27.84%	48.22%	-0.57	+11.3	29
1996-05-05	FC Copenhagen	W 2-1	60.1	1830	1708	59.25%	24.83%	15.92%	+1.17	+4.3	57
1996-05-05	@ Aarhus GF	L 1-2	60.1	1708	1830	15.92%	24.83%	59.25%	-1.17	-4.3	41
1996-05-05	Lyngby	L 1-2	71.4	1869	1824	50.38%	27.42%	22.20%	+0.68	-11.0	56
1996-05-05	@ Brondby	W 2-1	71.4	1824	1869	22.20%	27.42%	50.38%	-0.68	+11.0	48
1996-05-05	Viborg	D 2-2	71.8	1547	1598	37.66%	28.90%	33.44%	+0.08	-0.1	19
1996-05-05	@ Herfolge	D 2-2	71.8	1598	1547	33.44%	28.90%	37.66%	-0.08	+0.1	30
1996-05-05	Silkeborg	L 1-2	62.6	1584	1727	25.73%	28.19%	46.08%	-0.49	-6.6	23
1996-05-05	@ Ikast	W 2-1	62.6	1727	1584	46.08%	28.19%	25.73%	+0.49	+6.6	41
1996-05-05	Vejle BK	W 1-0	57.3	1502	1602	30.83%	28.78%	40.39%	-0.23	+9.8	21
1996-05-05	@ Naestved	L 0-1	57.3	1602	1502	40.39%	28.78%	30.83%	+0.23	-9.8	26
1996-05-05	Aalborg	W 5-1	58.1	1782	1777	45.37%	28.29%	26.34%	+0.43	+21.3	49
1996-05-05	@ Odense	L 1-5	58.1	1777	1782	26.34%	28.29%	45.37%	-0.43	-21.3	44
1996-05-08	Naestved	W 2-0	46.5	1756	1512	70.98%	19.42%	9.60%	+1.93	+4.9	47
1996-05-08	@ Aalborg	L 0-2	46.5	1512	1756	9.60%	19.42%	70.98%	-1.93	-4.9	21
1996-05-08	Ikast	W 2-0	47.2	1858	1578	74.03%	17.72%	8.26%	+2.16	+4.1	59
1996-05-08	@ Brondby	L 0-2	47.2	1578	1858	8.26%	17.72%	74.03%	-2.16	-4.0	23
1996-05-08	Silkeborg	W 1-0	59.9	1704	1734	40.68%	28.76%	30.56%	+0.21	+8.0	44
1996-05-08	@ FC Copenhagen	L 0-1	59.9	1734	1704	30.56%	28.76%	40.68%	-0.21	-8.0	41
1996-05-08	Lyngby	D 1-1	71.7	1546	1836	13.74%	23.38%	62.88%	-1.41	+2.6	20
1996-05-08	@ Herfolge	D 1-1	71.7	1836	1546	62.88%	23.38%	13.74%	+1.41	-2.6	49
1996-05-08	Odense	W 2-0	63.4	1592	1803	19.15%	26.40%	54.46%	-0.92	+23.5	29
1996-05-08	@ Vejle BK	L 0-2	63.4	1803	1592	54.46%	26.40%	19.15%	+0.92	-23.6	49
1996-05-08	Aarhus GF	D 0-0	67.0	1598	1834	17.14%	25.50%	57.36%	-1.08	+2.4	31
1996-05-08	@ Viborg	D 0-0	67.0	1834	1598	57.36%	25.50%	17.14%	+1.08	-2.4	58
1996-05-12	Brondby	D 3-3	80.9	1832	1862	40.65%	28.76%	30.59%	+0.21	-0.3	59
1996-05-12	@ Aarhus GF	D 3-3	80.9	1862	1832	30.59%	28.76%	40.65%	-0.21	+0.3	60
1996-05-12	Aalborg	W 3-1	64.0	1712	1760	38.05%	28.89%	33.06%	+0.10	+13.9	47
1996-05-12	@ FC Copenhagen	L 1-3	64.0	1760	1712	33.06%	28.89%	38.05%	-0.10	-13.9	47
1996-05-12	Ikast	W 4-1	55.6	1549	1574	41.36%	28.71%	29.93%	+0.25	+18.2	23
1996-05-12	@ Herfolge	L 1-4	55.6	1574	1549	29.93%	28.71%	41.36%	-0.25	-18.2	23
1996-05-12	Odense	L 0-1	66.2	1833	1780	51.45%	27.18%	21.37%	+0.74	-11.9	49
1996-05-12	@ Lyngby	W 1-0	66.2	1780	1833	21.37%	27.18%	51.45%	-0.74	+11.9	52
1996-05-12	Vejle BK	W 3-1	57.1	1726	1616	57.92%	25.30%	16.78%	+1.09	+7.8	44
1996-05-12	@ Silkeborg	L 1-3	57.1	1616	1726	16.78%	25.30%	57.92%	-1.09	-7.8	29
1996-05-12	Naestved	W 6-2	50.8	1600	1507	56.12%	25.90%	17.98%	+0.99	+12.9	34
1996-05-12	@ Viborg	L 2-6	50.8	1507	1600	17.98%	25.90%	56.12%	-0.99	-12.9	21
1996-05-15	Silkeborg	L 2-3	77.6	1821	1733	55.47%	26.10%	18.43%	+0.95	-11.3	49
1996-05-15	@ Lyngby	W 3-2	77.6	1733	1821	18.43%	26.10%	55.47%	-0.95	+11.3	47
1996-05-15	Odense	D 1-1	70.8	1494	1792	13.27%	23.01%	63.73%	-1.47	+2.7	22
1996-05-15	@ Naestved	D 1-1	70.8	1792	1494	63.73%	23.01%	13.27%	+1.47	-2.7	53
1996-05-19	Herfolge	W 4-0	46.6	1746	1567	65.06%	22.40%	12.54%	+1.53	+12.6	50
1996-05-19	@ Aalborg	L 0-4	46.6	1567	1746	12.54%	22.40%	65.06%	-1.53	-12.6	23
1996-05-19	Silkeborg	D 1-1	72.1	1862	1745	58.78%	25.00%	16.22%	+1.14	-2.2	61
1996-05-19	@ Brondby	D 1-1	72.1	1745	1862	16.22%	25.00%	58.78%	-1.14	+2.2	48
1996-05-19	FC Copenhagen	D 1-1	69.3	1555	1726	22.81%	27.58%	49.61%	-0.67	+1.3	24
1996-05-19	@ Ikast	D 1-1	69.3	1726	1555	49.61%	27.58%	22.81%	+0.67	-1.3	48
1996-05-19	Naestved	W 2-0	45.4	1810	1497	76.61%	16.21%	7.18%	+2.37	+3.4	52
1996-05-19	@ Lyngby	L 0-2	45.4	1497	1810	7.18%	16.21%	76.61%	-2.37	-3.4	22
1996-05-19	Viborg	W 3-1	55.6	1789	1613	64.72%	22.56%	12.72%	+1.50	+5.8	56
1996-05-19	@ Odense	L 1-3	55.6	1613	1789	12.72%	22.56%	64.72%	-1.50	-5.8	34
1996-05-19	Aarhus GF	L 0-1	55.3	1608	1832	18.12%	25.96%	55.92%	-1.00	-5.1	29
1996-05-19	@ Vejle BK	W 1-0	55.3	1832	1608	55.92%	25.96%	18.12%	+1.00	+5.2	62
1996-05-23	Lyngby	D 1-1	70.8	1759	1813	37.26%	28.91%	33.83%	+0.06	-0.2	51
1996-05-23	@ Aalborg	D 1-1	70.8	1813	1759	33.83%	28.91%	37.26%	-0.06	+0.2	53
1996-05-23	Odense	D 1-1	71.4	1837	1795	50.11%	27.47%	22.42%	+0.67	-1.4	63
1996-05-23	@ Aarhus GF	D 1-1	71.4	1795	1837	22.42%	27.47%	50.11%	-0.67	+1.4	57
1996-05-23	Brondby	L 0-4	54.1	1724	1860	26.52%	28.32%	45.16%	-0.45	-25.7	48
1996-05-23	@ FC Copenhagen	W 4-0	54.1	1860	1724	45.16%	28.32%	26.52%	+0.45	+25.7	64
1996-05-23	Herfolge	L 0-4	49.2	1493	1555	36.19%	28.93%	34.89%	+0.01	-32.5	22
1996-05-23	@ Naestved	W 4-0	49.2	1555	1493	34.89%	28.93%	36.19%	-0.01	+32.5	26
1996-05-23	Ikast	W 5-0	48.3	1603	1557	50.59%	27.37%	22.04%	+0.69	+27.2	32
1996-05-23	@ Vejle BK	L 0-5	48.3	1557	1603	22.04%	27.37%	50.59%	-0.69	-27.2	24
1996-05-23	Silkeborg	W 2-1	69.1	1607	1747	26.06%	28.25%	45.70%	-0.48	+10.2	37
1996-05-23	@ Viborg	L 1-2	69.1	1747	1607	45.70%	28.25%	26.06%	+0.48	-10.2	48
1996-05-27	Aalborg	W 2-0	52.1	1886	1759	59.77%	24.63%	15.60%	+1.20	+8.4	67
1996-05-27	@ Brondby	L 0-2	52.1	1759	1886	15.60%	24.63%	59.77%	-1.20	-8.4	51
1996-05-27	Vejle BK	D 1-1	67.8	1587	1630	38.82%	28.86%	32.32%	+0.13	-0.3	27
1996-05-27	@ Herfolge	D 1-1	67.8	1630	1587	32.32%	28.86%	38.82%	-0.13	+0.3	33
1996-05-27	Viborg	D 0-0	61.8	1530	1618	32.48%	28.87%	38.65%	-0.15	+0.3	25
1996-05-27	@ Ikast	D 0-0	61.8	1618	1530	38.65%	28.87%	32.48%	+0.15	-0.3	38
1996-05-27	Aarhus GF	L 0-2	61.1	1813	1836	41.69%	28.69%	29.62%	+0.26	-19.0	53
1996-05-27	@ Lyngby	W 2-0	61.1	1836	1813	29.62%	28.69%	41.69%	-0.26	+19.0	66
1996-05-27	FC Copenhagen	W 2-1	60.7	1796	1699	56.57%	25.76%	17.68%	+1.01	+4.7	60
1996-05-27	@ Odense	L 1-2	60.7	1699	1796	17.68%	25.76%	56.57%	-1.01	-4.7	48
1996-05-27	Naestved	D 1-1	70.7	1737	1461	73.69%	17.91%	8.40%	+2.14	-3.5	49
1996-05-27	@ Silkeborg	D 1-1	70.7	1461	1737	8.40%	17.91%	73.69%	-2.14	+3.5	23

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	1995-10-22	9.36%	Herfolge	1525	2	@ Odense	1775	0
2	1995-09-03	11.95%	Viborg	1543	2	@ Silkeborg	1734	0
3	1995-10-29	15.23%	Silkeborg	1660	2	@ Lyngby	1793	1
4	1995-10-06	16.09%	@ Viborg	1566	4	Aalborg	1817	0
5	1995-09-01	18.19%	Brondby	1741	3	@ Aalborg	1832	0
6	1996-05-15	18.43%	Silkeborg	1733	3	@ Lyngby	1821	2
7	1996-05-08	19.15%	@ Vejle BK	1592	2	Odense	1803	0
8	1995-09-01	19.28%	Vejle BK	1674	2	@ FC Copenhagen	1751	1
9	1995-10-15	19.55%	@ Herfolge	1500	5	Silkeborg	1706	2
10	1996-05-12	21.37%	Odense	1780	1	@ Lyngby	1833	0
11	1995-08-27	22.19%	FC Copenhagen	1724	4	@ Brondby	1768	1
12	1996-05-05	22.20%	Lyngby	1824	2	@ Brondby	1869	1
13	1995-09-17	22.67%	Lyngby	1770	1	@ Aalborg	1810	0
14	1995-10-29	22.87%	@ Ikast	1582	4	FC Copenhagen	1752	2
15	1996-04-14	22.87%	Silkeborg	1719	1	@ Aalborg	1756	0
16	1996-04-08	23.70%	@ Viborg	1594	2	Odense	1755	1
17	1995-11-05	23.87%	Vejle BK	1645	2	@ Silkeborg	1673	1
18	1996-04-28	23.94%	Viborg	1586	1	@ Vejle BK	1614	0
19	1995-10-13	24.00%	Brondby	1768	3	@ Lyngby	1795	1
20	1995-09-20	24.06%	Odense	1756	2	@ Lyngby	1782	0
21	1996-04-04	25.71%	@ Silkeborg	1700	2	Aarhus GF	1843	1
22	1996-05-23	26.06%	@ Viborg	1607	2	Silkeborg	1747	1
23	1995-08-02	26.69%	Aarhus GF	1697	4	@ Naestved	1699	2
24	1995-10-06	26.90%	Aarhus GF	1778	2	@ Brondby	1778	1
25	1996-04-28	27.55%	@ Odense	1762	2	Brondby	1889	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	1995-10-06	47.70	@ Viborg	4	1566	16.09%	Aalborg	0	1817	58.98%	24.93%
2	1995-09-01	34.91	Brondby	3	1741	18.19%	@ Aalborg	0	1832	55.82%	25.99%
3	1996-05-23	32.47	Herfolge	4	1555	34.89%	@ Naestved	0	1493	36.19%	28.93%
4	1995-09-03	30.75	Lyngby	4	1740	37.55%	@ Ikast	0	1660	33.54%	28.90%
5	1995-10-22	29.07	Herfolge	2	1525	9.36%	@ Odense	0	1775	71.51%	19.12%
6	1995-09-03	27.51	Viborg	2	1543	11.95%	@ Silkeborg	0	1734	66.18%	21.87%
7	1995-11-26	27.49	Silkeborg	3	1654	29.83%	@ Viborg	0	1630	41.47%	28.70%
8	1996-05-23	27.18	@ Vejle BK	5	1603	50.59%	Ikast	0	1557	22.04%	27.37%
9	1995-08-27	27.06	FC Copenhagen	4	1724	22.19%	@ Brondby	1	1768	50.39%	27.41%
10	1995-11-12	25.91	@ Viborg	4	1604	44.88%	Naestved	0	1602	26.77%	28.35%
11	1996-05-23	25.73	Brondby	4	1860	45.16%	@ FC Copenhagen	0	1724	26.52%	28.32%
12	1996-04-14	25.41	Lyngby	5	1784	52.70%	@ Ikast	0	1588	20.43%	26.87%
13	1995-09-01	24.92	@ Odense	5	1724	53.29%	Naestved	0	1655	19.99%	26.72%
14	1995-10-15	24.77	@ Herfolge	5	1500	19.55%	Silkeborg	2	1706	53.89%	26.56%
15	1995-11-26	24.75	Odense	4	1723	46.61%	@ Naestved	0	1576	25.28%	28.11%
16	1996-05-08	23.55	@ Vejle BK	2	1592	19.15%	Odense	0	1803	54.46%	26.40%
17	1995-11-17	23.41	Brondby	3	1828	37.81%	@ Odense	0	1746	33.29%	28.90%
18	1995-07-30	22.97	Aalborg	3	1779	38.70%	@ Ikast	0	1691	32.44%	28.87%
19	1995-10-08	21.94	Lyngby	3	1773	40.76%	@ Vejle BK	0	1670	30.48%	28.76%
20	1996-05-05	21.32	@ Odense	5	1782	45.37%	Aalborg	1	1777	26.34%	28.29%
21	1995-09-20	21.27	Odense	2	1756	24.06%	@ Lyngby	0	1782	48.07%	27.87%
22	1995-10-22	20.86	Aarhus GF	3	1800	42.89%	@ Silkeborg	0	1681	28.54%	28.58%
23	1996-03-24	20.37	Brondby	3	1857	43.83%	@ FC Copenhagen	0	1731	27.69%	28.48%
24	1996-04-28	19.81	@ Odense	2	1762	27.55%	Brondby	0	1889	43.99%	28.46%
25	1996-04-28	19.53	@ Lyngby	4	1805	54.28%	FC Copenhagen	0	1728	19.27%	26.45%

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	1996-05-12	80.9	@ Aarhus GF	3	1832	40.65%	Brondby	3	1862	30.59%	28.76%
2	1995-10-15	78.9	@ Vejle BK	3	1648	49.16%	Viborg	3	1613	23.17%	27.67%
3	1996-05-15	77.6	Silkeborg	3	1733	18.43%	@ Lyngby	2	1821	55.47%	26.10%
4	1995-11-29	77.4	@ Ikast	2	1587	15.44%	Aarhus GF	2	1848	60.03%	24.54%
5	1995-10-29	77.3	@ Aarhus GF	2	1821	54.01%	Odense	2	1746	19.47%	26.52%
6	1995-11-19	77.3	@ Herfolge	3	1567	36.07%	Viborg	3	1630	35.00%	28.93%
7	1995-08-02	77.0	@ Brondby	2	1773	52.70%	Lyngby	2	1709	20.43%	26.87%
8	1996-04-17	76.9	@ Herfolge	2	1552	15.67%	Lyngby	2	1810	59.65%	24.68%
9	1995-09-10	76.8	@ Lyngby	2	1771	48.83%	FC Copenhagen	2	1739	23.44%	27.73%
10	1995-11-05	76.5	@ Odense	2	1747	40.23%	Lyngby	2	1780	30.98%	28.79%
11	1995-11-19	76.4	@ FC Copenhagen	2	1723	36.90%	Lyngby	2	1779	34.18%	28.92%
12	1995-09-22	76.2	@ Viborg	2	1577	20.19%	Brondby	2	1775	53.02%	26.79%
13	1995-10-22	75.9	@ Viborg	2	1614	26.19%	FC Copenhagen	2	1753	45.54%	28.27%
14	1996-04-08	74.7	@ Naestved	2	1535	21.76%	FC Copenhagen	2	1716	50.95%	27.29%
15	1996-03-31	73.9	@ Brondby	1	1877	73.63%	Viborg	1	1602	8.43%	17.94%
16	1996-03-31	73.6	@ Aarhus GF	1	1847	74.46%	Herfolge	1	1561	8.07%	17.47%
17	1996-04-21	73.5	@ Aarhus GF	1	1842	73.95%	Ikast	1	1563	8.29%	17.76%
18	1996-04-17	73.3	@ Aarhus GF	1	1846	71.51%	Viborg	1	1596	9.36%	19.13%
19	1995-10-29	73.0	Silkeborg	2	1660	15.23%	@ Lyngby	1	1793	60.36%	24.41%
20	1996-04-21	72.5	@ Lyngby	1	1808	66.79%	Vejle BK	1	1611	11.63%	21.58%
21	1996-05-19	72.1	@ Brondby	1	1862	58.78%	Silkeborg	1	1745	16.22%	25.00%
22	1996-05-05	71.8	@ Herfolge	2	1547	37.66%	Viborg	2	1598	33.44%	28.90%
23	1995-10-29	71.7	@ Ikast	4	1582	22.87%	FC Copenhagen	2	1752	49.53%	27.59%
24	1996-05-08	71.7	@ Herfolge	1	1546	13.74%	Lyngby	1	1836	62.88%	23.38%
25	1995-09-01	71.6	Vejle BK	2	1674	19.28%	@ FC Copenhagen	1	1751	54.26%	26.45%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	1995-09-24	44.0	@ Aalborg	4	1790	73.55%	Herfolge	0	1516	8.46%	17.99%
2	1996-04-17	45.2	@ Aalborg	4	1745	68.12%	Naestved	0	1533	10.96%	20.92%
3	1995-11-26	45.4	@ Aarhus GF	3	1842	73.62%	Herfolge	0	1567	8.43%	17.95%
4	1996-05-19	45.4	@ Lyngby	2	1810	76.61%	Naestved	0	1497	7.18%	16.21%
5	1996-05-08	46.5	@ Aalborg	2	1756	70.98%	Naestved	0	1512	9.60%	19.42%
6	1996-05-19	46.6	@ Aalborg	4	1746	65.06%	Herfolge	0	1567	12.54%	22.40%
7	1996-04-14	46.7	@ Brondby	6	1873	71.44%	Vejle BK	0	1624	9.39%	19.16%
8	1995-10-01	46.8	@ Lyngby	4	1761	65.38%	Viborg	0	1578	12.37%	22.25%
9	1995-11-29	47.1	@ Silkeborg	5	1681	60.04%	Naestved	0	1552	15.43%	24.53%
10	1996-05-08	47.2	@ Brondby	2	1858	74.03%	Ikast	0	1578	8.26%	17.72%
11	1995-10-27	47.3	@ Brondby	4	1802	65.80%	Viborg	0	1615	12.15%	22.05%
12	1995-10-20	47.9	@ Aalborg	3	1762	64.15%	Ikast	0	1592	13.04%	22.82%
13	1995-08-05	48.0	@ Aalborg	8	1808	70.20%	Viborg	1	1573	9.97%	19.84%
14	1996-05-23	48.3	@ Vejle BK	5	1603	50.59%	Ikast	0	1557	22.04%	27.37%
15	1995-10-22	48.8	@ Brondby	4	1787	61.10%	Vejle BK	0	1647	14.78%	24.12%
16	1996-05-23	49.2	Herfolge	4	1555	34.89%	@ Naestved	0	1493	36.19%	28.93%
17	1995-08-27	49.3	@ Lyngby	2	1733	63.49%	Herfolge	0	1570	13.40%	23.11%
18	1995-10-15	49.4	@ Aarhus GF	3	1788	61.07%	Naestved	0	1649	14.80%	24.13%
19	1995-09-10	49.5	@ Aarhus GF	3	1752	59.30%	Ikast	0	1629	15.89%	24.81%
20	1996-04-08	50.0	@ Brondby	1	1871	74.03%	Ikast	0	1591	8.26%	17.72%
21	1996-04-04	50.1	@ Odense	2	1748	62.13%	Ikast	0	1598	14.18%	23.69%
22	1995-09-20	50.2	FC Copenhagen	3	1724	52.18%	@ Herfolge	0	1532	20.82%	27.00%
23	1996-04-14	50.5	@ Odense	5	1745	65.38%	Herfolge	1	1562	12.37%	22.25%
24	1996-05-12	50.8	@ Viborg	6	1600	56.12%	Naestved	2	1507	17.98%	25.90%
25	1995-11-12	50.9	@ Viborg	4	1604	44.88%	Naestved	0	1602	26.77%	28.35%