1996-97 Superliga Season

198 games

Final

Champion

Brondby

68 points · 7th Title

Last Title: 1995-96

Relegated

Hvidovre

26 pts

Viborg · 29 pts

Biggest Overachiever

Herfolge

11.43 points above expected

52 points · 40.57 expected points

Biggest Disappointment

Odense

8.36 points below expected

41 points · 49.36 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	8	5	68	64	39	+25	60.24	+7.76
2	Vejle BK	33	14	12	7	54	57	38	+19	46.43	+7.57
3	Aarhus GF	33	14	10	9	52	75	51	+24	57.23	-5.23
4	Herfolge	33	15	7	11	52	46	42	+4	40.57	+11.43
5	Aalborg	33	12	11	10	47	46	40	+6	52.63	-5.63
6	Silkeborg	33	10	15	8	45	51	55	-4	43.60	+1.40
7	Odense	33	11	8	14	41	59	61	-2	49.36	-8.36
8	FC Copenhagen	33	10	11	12	41	35	43	-8	42.48	-1.48
9	Lyngby	33	10	10	13	40	50	61	-11	47.14	-7.14
10	AB Copenhagen	33	8	12	13	36	56	62	-6	30.07	+5.93
11	Viborg Relegated	33	6	11	16	29	31	58	-27	36.35	-7.35
12	Hvidovre Relegated	33	5	11	17	26	39	59	-20	28.21	-2.21

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	Herfolge	52	40.57	+11.43
2	Brondby	68	60.24	+7.76
3	Vejle BK	54	46.43	+7.57
4	AB Copenhagen	36	30.07	+5.93
5	Silkeborg	45	43.60	+1.40

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Odense	41	49.36	-8.36
2	Viborg	29	36.35	-7.35
3	Lyngby	40	47.14	-7.14
4	Aalborg	47	52.63	-5.63
5	Aarhus GF	52	57.23	-5.23

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	Herfolge	5	Apr 25 – May 19	1 in 175
2	Brondby	6	Jul 28 – Aug 25	1 in 158
3	Silkeborg	3	Jun 1 – Jun 15	1 in 24
4	FC Copenhagen	3	May 25 – Jun 1	1 in 23
5	Aalborg	4	Jul 31 – Aug 18	1 in 22

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Odense	5	May 4 – May 25	1 in 604
2	Aalborg	3	May 9 – May 19	1 in 52
3	Lyngby	3	Jul 31 – Aug 11	1 in 50
4	FC Copenhagen	4	Sep 29 – Oct 20	1 in 48
5	Brondby	2	Nov 24 – Mar 14	1 in 29

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Silkeborg	10	Oct 27 – Apr 20	1 in 133
2	Herfolge	8	Apr 25 – Jun 1	1 in 30
3	AB Copenhagen	5	Nov 6 – Mar 23	1 in 27
4	Odense	8	Sep 29 – Nov 17	1 in 21
5	Vejle BK	10	Apr 27 – Jun 15	1 in 17

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Aalborg	11	Apr 18 – Jun 15	1 in 536
2	Aarhus GF	8	Nov 6 – Apr 20	1 in 177
3	Silkeborg	11	Sep 1 – Nov 3	1 in 152
4	FC Copenhagen	10	Aug 18 – Oct 27	1 in 84
5	Lyngby	9	May 4 – Jun 15	1 in 48

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	1851	68	+21	13	8.7	+4.3
Vejle BK	1783	54	+13	9	8.1	+0.9
Aarhus GF	1821	52	-11	5	8.6	-3.6
Herfolge	1718	52	-10	5	6.0	-1.0
Aalborg	1731	47	-23	3	7.6	-4.6
Silkeborg	1717	45	+5	10	6.8	+3.2
FC Copenhagen	1696	41	+35	13	6.7	+6.3
Odense	1703	41	-17	4	8.1	-4.1
Lyngby	1687	40	-4	4	6.5	-2.5
AB Copenhagen	1629	36	+33	9	5.1	+3.9
Viborg	1608	29	-20	2	4.4	-2.4
Hvidovre	1539	26	-21	3	4.1	-1.1

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	AC	AAL	AG	BRO	FC	HER	HVI	LYN	ODE	SIL	VB	VIB
AB Copenhagen	—	2-0-1 2.42	0-2-1 2.19	0-2-1 2.00	0-1-2 2.75	0-1-2 2.87	1-2-0 4.28	0-1-2 2.51	2-1-0 2.29	1-1-1 2.87	0-0-3 2.86	2-1-0 3.06
Aalborg	1-0-2 5.74	—	1-1-1 3.51	0-2-1 3.09	1-1-1 5.01	1-0-2 5.26	1-1-1 6.11	2-1-0 4.85	1-2-0 4.43	0-3-0 5.15	2-0-1 4.63	2-0-1 5.00
Aarhus GF	1-2-0 6.03	1-1-1 4.52	—	0-0-3 3.61	2-1-0 5.41	2-1-0 5.49	1-1-1 6.33	1-0-2 5.27	0-2-1 4.43	1-1-1 5.50	2-1-0 5.18	3-0-0 5.43
Brondby	1-2-0 6.26	1-2-0 4.96	3-0-0 4.42	—	3-0-0 5.25	2-0-1 5.74	2-1-0 6.93	2-0-1 4.81	2-0-1 4.84	1-2-0 5.59	1-0-2 5.44	2-1-0 5.88
FC Copenhagen	2-1-0 5.38	1-1-1 3.04	0-1-2 2.69	0-0-3 2.85	—	0-1-2 4.29	3-0-0 5.20	1-1-1 3.52	1-1-1 3.33	1-2-0 3.53	0-2-1 3.90	1-1-1 4.77
Herfolge	2-1-0 5.21	2-0-1 2.82	0-1-2 2.63	1-0-2 2.43	2-1-0 3.74	—	3-0-0 5.60	1-1-1 3.85	1-1-1 3.46	1-1-1 3.54	1-1-1 3.26	1-0-2 4.79
Hvidovre	0-2-1 3.75	1-1-1 2.13	1-1-1 1.95	0-1-2 1.51	0-0-3 2.88	0-0-3 2.55	—	0-1-2 2.32	2-0-1 2.07	0-1-2 2.39	0-2-1 2.16	1-2-0 3.21
Lyngby	2-1-0 5.66	0-1-2 3.21	2-0-1 2.82	1-0-2 3.24	1-1-1 4.53	1-1-1 4.14	2-1-0 5.87	—	1-0-2 4.06	0-1-2 4.01	0-2-1 3.51	0-2-1 5.05
Odense	0-1-2 5.90	0-2-1 3.59	1-2-0 3.58	1-0-2 3.21	1-1-1 4.72	1-1-1 4.56	1-0-2 6.19	2-0-1 3.95	—	1-1-1 4.10	0-0-3 4.25	3-0-0 5.34
Silkeborg	1-1-1 5.21	0-3-0 2.94	1-1-1 2.62	0-2-1 2.56	0-2-1 4.48	1-1-1 4.51	2-1-0 5.78	2-1-0 4.00	1-1-1 3.91	—	1-1-1 3.98	1-1-1 4.56
Vejle BK	3-0-0 5.23	1-0-2 3.42	0-1-2 2.92	2-0-1 2.67	1-2-0 4.12	1-1-1 4.78	1-2-0 6.05	1-2-0 4.49	3-0-0 3.76	1-1-1 4.04	—	0-3-0 5.17
Viborg	0-1-2 5.00	1-0-2 3.06	0-0-3 2.68	0-1-2 2.31	1-1-1 3.28	2-0-1 3.27	0-2-1 4.84	1-2-0 3.01	0-0-3 2.76	1-1-1 3.45	0-3-0 2.89	—

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	0.41	+5.9
Allowed	0.54	-8.8
Differential	0.84	+6.4

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	3.54%	6.06%	5.81%	2.53%	1.26%	0.76%	19.95%
1	6.06%	18.69%	6.06%	3.28%	2.02%	1.01%	37.12%
2	5.81%	6.06%	8.08%	2.78%	0.51%	0.25%	23.48%
3	2.53%	3.28%	2.78%	1.52%	1.52%	0.25%	11.87%
4	1.26%	2.02%	0.51%	1.52%	—	—	5.30%
5+	0.76%	1.01%	0.25%	0.25%	—	—	2.27%
Total	19.95%	37.12%	23.48%	11.87%	5.30%	2.27%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.54	1.54	+0.00
SD	1.27	1.27	1.84
CV	0.82	0.82	—
Max	7	7	+6
Min	0	0	-6

Games Played: 198

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	6.06%	3.03%	3.03%	—	—	15.15%
1	3.03%	18.18%	6.06%	3.03%	3.03%	3.03%	36.36%
2	—	3.03%	12.12%	12.12%	—	—	27.27%
3	—	12.12%	—	3.03%	—	—	15.15%
4	—	—	—	3.03%	—	—	3.03%
5+	—	3.03%	—	—	—	—	3.03%
Total	6.06%	42.42%	21.21%	24.24%	3.03%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.70	1.88	-0.18
SD	1.40	1.24	1.88
CV	0.83	0.66	—
Max	7	6	+6
Min	0	0	-5

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	9.09%	6.06%	—	—	—	21.21%
1	3.03%	24.24%	3.03%	6.06%	—	3.03%	39.39%
2	12.12%	9.09%	3.03%	—	3.03%	—	27.27%
3	—	6.06%	—	—	—	—	6.06%
4	3.03%	—	—	—	—	—	3.03%
5+	3.03%	—	—	—	—	—	3.03%
Total	27.27%	48.48%	12.12%	6.06%	3.03%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.39	1.21	+0.18
SD	1.17	1.29	1.91
CV	0.84	1.07	—
Max	5	6	+5
Min	0	0	-5

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	6.06%	3.03%	—	—	—	9.09%
1	3.03%	18.18%	3.03%	3.03%	—	—	27.27%
2	—	9.09%	12.12%	6.06%	—	—	27.27%
3	3.03%	3.03%	6.06%	—	6.06%	—	18.18%
4	3.03%	—	3.03%	—	—	—	6.06%
5+	3.03%	6.06%	3.03%	—	—	—	12.12%
Total	12.12%	42.42%	30.30%	9.09%	6.06%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.27	1.55	+0.73
SD	1.61	1.03	1.94
CV	0.71	0.67	—
Max	6	4	+5
Min	0	0	-2

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	—	3.03%	3.03%	—	—	6.06%
1	3.03%	12.12%	6.06%	3.03%	—	—	24.24%
2	18.18%	15.15%	12.12%	—	—	—	45.45%
3	3.03%	3.03%	12.12%	—	—	—	18.18%
4	3.03%	3.03%	—	—	—	—	6.06%
5+	—	—	—	—	—	—	—
Total	27.27%	33.33%	33.33%	6.06%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.94	1.18	+0.76
SD	0.97	0.92	1.50
CV	0.50	0.78	—
Max	4	3	+4
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	6.06%	9.09%	3.03%	3.03%	—	24.24%
1	12.12%	27.27%	6.06%	3.03%	3.03%	—	51.52%
2	9.09%	6.06%	—	3.03%	—	—	18.18%
3	3.03%	—	—	3.03%	—	—	6.06%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	27.27%	39.39%	15.15%	12.12%	6.06%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.06	1.30	-0.24
SD	0.83	1.19	1.58
CV	0.78	0.91	—
Max	3	4	+3
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	12.12%	6.06%	6.06%	3.03%	—	30.30%
1	15.15%	12.12%	3.03%	—	3.03%	—	33.33%
2	6.06%	3.03%	6.06%	—	—	—	15.15%
3	3.03%	3.03%	3.03%	—	—	—	9.09%
4	3.03%	3.03%	3.03%	3.03%	—	—	12.12%
5+	—	—	—	—	—	—	—
Total	30.30%	33.33%	21.21%	9.09%	6.06%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.39	1.27	+0.12
SD	1.34	1.18	1.88
CV	0.96	0.93	—
Max	4	4	+4
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	18.18%	3.03%	3.03%	—	—	30.30%
1	3.03%	15.15%	12.12%	3.03%	—	3.03%	36.36%
2	3.03%	3.03%	9.09%	6.06%	—	—	21.21%
3	—	—	3.03%	3.03%	3.03%	—	9.09%
4	—	—	—	3.03%	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	12.12%	36.36%	27.27%	18.18%	3.03%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.18	1.79	-0.61
SD	1.07	1.39	1.39
CV	0.91	0.78	—
Max	4	7	+2
Min	0	0	-6

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	—	15.15%	3.03%	—	—	21.21%
1	3.03%	18.18%	—	3.03%	12.12%	—	36.36%
2	6.06%	6.06%	9.09%	—	3.03%	—	24.24%
3	3.03%	3.03%	3.03%	—	3.03%	—	12.12%
4	—	—	—	3.03%	—	—	3.03%
5+	—	3.03%	—	—	—	—	3.03%
Total	15.15%	30.30%	27.27%	9.09%	18.18%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.52	1.85	-0.33
SD	1.33	1.33	1.95
CV	0.87	0.72	—
Max	6	4	+5
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	3.03%	6.06%	3.03%	3.03%	—	15.15%
1	6.06%	12.12%	15.15%	3.03%	3.03%	—	39.39%
2	—	9.09%	9.09%	3.03%	—	—	21.21%
3	—	3.03%	—	3.03%	3.03%	—	9.09%
4	—	6.06%	—	3.03%	—	—	9.09%
5+	3.03%	—	—	3.03%	—	—	6.06%
Total	9.09%	33.33%	30.30%	18.18%	9.09%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.79	1.85	-0.06
SD	1.49	1.12	1.95
CV	0.84	0.61	—
Max	6	4	+6
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	—	3.03%	3.03%	—	3.03%	15.15%
1	6.06%	24.24%	6.06%	3.03%	—	3.03%	42.42%
2	6.06%	3.03%	12.12%	—	—	—	21.21%
3	3.03%	3.03%	3.03%	3.03%	3.03%	—	15.15%
4	—	3.03%	—	3.03%	—	—	6.06%
5+	—	—	—	—	—	—	—
Total	21.21%	33.33%	24.24%	12.12%	3.03%	6.06%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.55	1.67	-0.12
SD	1.12	1.53	1.90
CV	0.73	0.92	—
Max	4	6	+3
Min	0	0	-6

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	—	9.09%	3.03%	—	—	18.18%
1	6.06%	18.18%	6.06%	—	—	—	30.30%
2	6.06%	6.06%	9.09%	3.03%	—	—	24.24%
3	9.09%	—	3.03%	3.03%	—	—	15.15%
4	3.03%	9.09%	—	—	—	—	12.12%
5+	—	—	—	—	—	—	—
Total	30.30%	33.33%	27.27%	9.09%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.73	1.15	+0.58
SD	1.28	0.97	1.73
CV	0.74	0.84	—
Max	4	3	+4
Min	0	0	-3

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	9.09%	24.24%	6.06%	9.09%	—	—	48.48%
2	3.03%	—	3.03%	—	—	3.03%	9.09%
3	3.03%	3.03%	—	—	—	3.03%	9.09%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	21.21%	39.39%	12.12%	9.09%	6.06%	12.12%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.94	1.76	-0.82
SD	0.90	1.64	1.89
CV	0.96	0.93	—
Max	3	5	+3
Min	0	0	-5

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	1851	68	60.24	+7.76	85.0%	47	49	55	59	65	72	75
Aarhus GF	1821	52	57.23	-5.23	23.0%	36	44	53	57	62	68	77
Vejle BK	1783	54	46.43	+7.57	91.0%	30	35	42	47	51	57	60
Aalborg	1731	47	52.63	-5.63	20.0%	37	42	48	52	57	64	72
Herfolge	1718	52	40.57	+11.43	94.0%	26	29	36	41	46	53	60
Silkeborg	1717	45	43.60	+1.40	59.0%	27	33	39	44	48	55	58
Odense	1703	41	49.36	-8.36	12.0%	33	36	45	49	54	60	64
FC Copenhagen	1696	41	42.48	-1.48	47.0%	29	30	37	42	48	54	56
Lyngby	1687	40	47.14	-7.14	21.0%	31	35	42	48	52	57	64
AB Copenhagen	1629	36	30.07	+5.93	83.0%	13	16	26	31	35	41	48
Viborg	1608	29	36.35	-7.35	14.0%	18	26	32	36	41	46	50
Hvidovre	1539	26	28.21	-2.21	36.0%	14	17	23	29	32	38	40

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

+16.67%

Clear Edge

42.42%31.82%25.76%

Elo Value

Home Edge: 58.45 Elo pts.

233 Elo

0.004 goals per Elo point

0600

Scoring Tilt

Expected

+0.43 goals

Neutral

-2+0.25+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

2.8

One-Team Race

134610

Champion Preseason Odds

50%

Brondby, 1st of 12

LongshotFavorite

Title Margin

Expected

0.42/gm

Runaway

00.170.6/gm

Simulation-Based Surprises

How these are measured

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

Luck Spread: Standard deviation of the gap between each team's actual points and their simulated average points. The gold line is the spread the model expected from chance alone.
As Expected: under 5.4 * Some Luck: 5.4 to 8.1 * Lucky: 8.1 to 10.8 * Wild Swing: 10.8 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 1.24 * Close: 1.24 to 1.86 * Off: 1.86 to 2.48 * Way Off: 2.48 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 0.54 * A Surprise: 0.54 to 0.86 * Several Surprises: 0.86 to 1.19 * Many Surprises: 1.19 and up.

Luck Spread

Expected

6.62 points

Some Luck

06.7517

Average Finish Error

Expected

1.83

01.554

Biggest Overachiever

Expected 95.83%

94.00%

Herfolge

50100

Biggest Underachiever

Expected 4.17%

12.00%

Odense

050

Season Outliers

Expected

0 of 12

Minimal Outliers

01.26

Unexpected Relegations

Expected

1 of 2

Several Surprises

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

0.14

Even

00.120.5

Noll-Scully

Elo SD: 87.85

1.59

Moderate Separation

0.651.351.61.92.5

Interquartile Edge

60%

Slight Edge

50%59%69%100%

Best vs. Worst

Baseline

86%

Strong Edge

50%85%100%

Close Games

Expected

65%

Very Frequent

0%58%100%

Blowouts

Expected

16%

Occasional

0%17%100%

Predictability

How these are measured

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

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

Brier Score

Expected

0.63

Hard to Predict

00.622

Matchup Imbalance

0.36

Notable Separation

00.280.370.5

Strangeness

Expected

0.95

As Expected

01.002

Repeatability

0.53

Strong Carryover

00.30.50.631

Upset Rate

Expected

22%

Chalky

0%22%50%

Clear Favorite Upset Rate

Expected

21%

As Expected

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 0.18 * Above Noise: 0.18 to 0.25 * Well Above Noise: 0.25 and up.

Probability calibration

0.45

Well Calibrated

0.010.050.10.51

Calibration slope

Ideal

0.78

Overconfident

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.066

Well Within Noise

00.1230.3

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	50.00%	28.00%	7.00%	6.00%	5.00%	2.00%	2.00%	—	—	—	—	—
Vejle BK	2.00%	4.00%	15.00%	12.00%	16.00%	14.00%	13.00%	13.00%	7.00%	4.00%	—	—
Aarhus GF	30.00%	33.00%	15.00%	11.00%	3.00%	4.00%	3.00%	—	—	—	1.00%	—
Herfolge	1.00%	1.00%	1.00%	3.00%	9.00%	14.00%	14.00%	15.00%	13.00%	19.00%	9.00%	1.00%
Aalborg	9.00%	17.00%	27.00%	16.00%	12.00%	6.00%	7.00%	6.00%	—	—	—	—
Silkeborg	1.00%	3.00%	5.00%	9.00%	8.00%	12.00%	19.00%	14.00%	13.00%	11.00%	5.00%	—
Odense	4.00%	8.00%	13.00%	19.00%	18.00%	18.00%	3.00%	7.00%	7.00%	2.00%	1.00%	—
FC Copenhagen	—	2.00%	4.00%	7.00%	10.00%	12.00%	16.00%	13.00%	17.00%	11.00%	7.00%	1.00%
Lyngby	3.00%	4.00%	13.00%	15.00%	17.00%	10.00%	11.00%	10.00%	10.00%	6.00%	1.00%	—
AB Copenhagen	—	—	—	—	—	2.00%	2.00%	7.00%	10.00%	10.00%	33.00%	36.00%
Viborg	—	—	—	2.00%	2.00%	6.00%	10.00%	13.00%	17.00%	22.00%	17.00%	11.00%
Hvidovre	—	—	—	—	—	—	—	2.00%	6.00%	15.00%	26.00%	51.00%

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%	—
Brondby	100%	—
Vejle BK	100%	—
Aarhus GF	99.00%	1.00%
Lyngby	99.00%	1.00%
Odense	99.00%	1.00%
Silkeborg	95.00%	5.00%
FC Copenhagen	92.00%	8.00%
Herfolge	90.00%	10.00%
Viborg	72.00%	28.00%
AB Copenhagen	31.00%	69.00%
Hvidovre	23.00%	77.00%

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
1996-07-28	Vejle BK	W 3-2	64.8	1785	1687	54.46%	28.34%	17.20%	+0.67	+3.1	3
1996-07-28	@ Aarhus GF	L 2-3	64.8	1687	1785	17.20%	28.34%	54.46%	-0.67	-3.1	0
1996-07-28	Herfolge	W 2-0	50.0	1803	1672	58.43%	26.28%	15.29%	+0.81	+5.8	3
1996-07-28	@ Brondby	L 0-2	50.0	1672	1803	15.29%	26.28%	58.43%	-0.81	-5.8	0
1996-07-28	FC Copenhagen	L 1-2	60.2	1558	1712	21.94%	31.61%	46.45%	-0.41	-4.2	0
1996-07-28	@ Hvidovre	W 2-1	60.2	1712	1558	46.45%	31.61%	21.94%	+0.41	+4.2	3
1996-07-28	AB Copenhagen	W 6-1	49.7	1761	1597	62.48%	23.96%	13.56%	+0.96	+9.6	3
1996-07-28	@ Lyngby	L 1-6	49.7	1597	1761	13.56%	23.96%	62.48%	-0.96	-9.6	0
1996-07-28	Viborg	W 3-1	57.2	1761	1679	52.29%	29.35%	18.36%	+0.60	+6.1	3
1996-07-28	@ Odense	L 1-3	57.2	1679	1761	18.36%	29.35%	52.29%	-0.60	-6.1	0
1996-07-31	Aarhus GF	D 1-1	69.0	1587	1788	18.16%	29.19%	52.66%	-0.61	+1.2	1
1996-07-31	@ AB Copenhagen	D 1-1	69.0	1788	1587	52.66%	29.19%	18.16%	+0.61	-1.2	4
1996-07-31	Brondby	L 2-3	70.0	1716	1808	28.61%	33.48%	37.91%	-0.14	-4.9	3
1996-07-31	@ FC Copenhagen	W 3-2	70.0	1808	1716	37.91%	33.48%	28.61%	+0.14	+4.9	6
1996-07-31	Lyngby	W 2-0	59.2	1666	1771	27.08%	33.23%	39.68%	-0.20	+13.0	3
1996-07-31	@ Herfolge	L 0-2	59.2	1771	1666	39.68%	33.23%	27.08%	+0.20	-13.0	3
1996-07-31	Odense	W 4-0	56.4	1683	1767	29.67%	33.60%	36.73%	-0.11	+23.3	3
1996-07-31	@ Vejle BK	L 0-4	56.4	1767	1683	36.73%	33.60%	29.67%	+0.11	-23.3	3
1996-07-31	Aalborg	L 0-5	55.6	1673	1739	32.09%	33.74%	34.17%	-0.03	-26.3	0
1996-07-31	@ Viborg	W 5-0	55.6	1739	1673	34.17%	33.74%	32.09%	+0.03	+26.3	3
1996-08-02	Brondby	L 1-4	61.3	1758	1813	33.55%	33.75%	32.70%	+0.01	-14.2	3
1996-08-02	@ Lyngby	W 4-1	61.3	1813	1758	32.70%	33.75%	33.55%	-0.01	+14.2	9
1996-08-02	AB Copenhagen	L 1-3	67.9	1744	1588	61.43%	24.58%	13.99%	+0.92	-15.4	3
1996-08-02	@ Odense	W 3-1	67.9	1588	1744	13.99%	24.58%	61.43%	-0.92	+15.4	4
1996-08-02	FC Copenhagen	D 1-1	68.5	1730	1711	43.93%	32.34%	23.73%	+0.33	-0.7	1
1996-08-02	@ Silkeborg	D 1-1	68.5	1711	1730	23.73%	32.34%	43.93%	-0.33	+0.7	4
1996-08-04	Vejle BK	W 2-1	61.1	1765	1707	49.32%	30.59%	20.09%	+0.50	+3.9	6
1996-08-04	@ Aalborg	L 1-2	61.1	1707	1765	20.09%	30.59%	49.32%	-0.50	-3.9	3
1996-08-04	Herfolge	W 3-0	48.9	1787	1679	55.63%	27.76%	16.62%	+0.71	+9.2	7
1996-08-04	@ Aarhus GF	L 0-3	48.9	1679	1787	16.62%	27.76%	55.63%	-0.71	-9.2	3
1996-08-04	Viborg	W 1-0	59.2	1554	1647	28.49%	33.46%	38.05%	-0.15	+6.7	3
1996-08-04	@ Hvidovre	L 0-1	59.2	1647	1554	38.05%	33.46%	28.49%	+0.15	-6.7	0
1996-08-11	Aalborg	L 1-3	58.1	1604	1769	20.90%	31.07%	48.02%	-0.46	-7.0	4
1996-08-11	@ AB Copenhagen	W 3-1	58.1	1769	1604	48.02%	31.07%	20.90%	+0.46	+7.0	9
1996-08-11	Aarhus GF	W 2-0	54.2	1827	1796	45.68%	31.85%	22.47%	+0.38	+8.6	12
1996-08-11	@ Brondby	L 0-2	54.2	1796	1827	22.47%	31.85%	45.68%	-0.38	-8.6	7
1996-08-11	Odense	L 0-1	60.5	1670	1728	33.13%	33.75%	33.12%	+0.00	-6.1	3
1996-08-11	@ Herfolge	W 1-0	60.5	1728	1670	33.12%	33.75%	33.13%	+0.00	+6.1	6
1996-08-11	FC Copenhagen	L 0-2	60.7	1744	1712	45.72%	31.84%	22.45%	+0.39	-14.4	3
1996-08-11	@ Lyngby	W 2-0	60.7	1712	1744	22.45%	31.84%	45.72%	-0.39	+14.4	7
1996-08-11	Hvidovre	D 2-2	74.4	1703	1561	59.82%	25.50%	14.68%	+0.86	-1.2	4
1996-08-11	@ Vejle BK	D 2-2	74.4	1561	1703	14.68%	25.50%	59.82%	-0.86	+1.2	4
1996-08-11	Silkeborg	W 3-1	63.8	1640	1729	29.03%	33.53%	37.44%	-0.13	+10.8	3
1996-08-11	@ Viborg	L 1-3	63.8	1729	1640	37.44%	33.53%	29.03%	+0.13	-10.8	1
1996-08-16	Lyngby	L 3-4	78.4	1788	1729	49.31%	30.59%	20.10%	+0.50	-7.0	7
1996-08-16	@ Aarhus GF	W 4-3	78.4	1729	1788	20.10%	30.59%	49.31%	-0.50	+7.0	6
1996-08-16	Brondby	L 1-2	64.4	1734	1836	27.44%	33.30%	39.26%	-0.18	-5.0	6
1996-08-16	@ Odense	W 2-1	64.4	1836	1734	39.26%	33.30%	27.44%	+0.18	+5.0	15
1996-08-16	Vejle BK	W 2-0	54.1	1718	1702	43.70%	32.40%	23.90%	+0.32	+9.0	4
1996-08-16	@ Silkeborg	L 0-2	54.1	1702	1718	23.90%	32.40%	43.70%	-0.32	-9.0	4
1996-08-18	Herfolge	W 4-0	48.4	1776	1664	56.18%	27.47%	16.34%	+0.73	+11.8	12
1996-08-18	@ Aalborg	L 0-4	48.4	1664	1776	16.34%	27.47%	56.18%	-0.73	-11.8	3
1996-08-18	Viborg	D 1-1	68.9	1727	1651	51.50%	29.70%	18.80%	+0.57	-1.2	8
1996-08-18	@ FC Copenhagen	D 1-1	68.9	1651	1727	18.80%	29.70%	51.50%	-0.57	+1.2	4
1996-08-18	AB Copenhagen	D 0-0	60.1	1562	1597	36.55%	33.61%	29.84%	+0.10	-0.2	5
1996-08-18	@ Hvidovre	D 0-0	60.1	1597	1562	29.84%	33.61%	36.55%	-0.10	+0.2	5
1996-08-25	FC Copenhagen	W 3-1	58.5	1781	1725	48.89%	30.75%	20.35%	+0.49	+6.8	10
1996-08-25	@ Aarhus GF	L 1-3	58.5	1725	1781	20.35%	30.75%	48.89%	-0.49	-6.8	8
1996-08-25	Silkeborg	L 2-3	67.1	1597	1727	24.22%	32.51%	43.28%	-0.31	-4.3	5
1996-08-25	@ AB Copenhagen	W 3-2	67.1	1727	1597	43.28%	32.51%	24.22%	+0.31	+4.3	7
1996-08-25	Aalborg	W 2-0	53.3	1841	1788	48.59%	30.87%	20.54%	+0.48	+7.9	18
1996-08-25	@ Brondby	L 0-2	53.3	1788	1841	20.54%	30.87%	48.59%	-0.48	-7.9	12
1996-08-25	Hvidovre	W 1-0	52.0	1652	1562	53.40%	28.84%	17.75%	+0.64	+3.6	6
1996-08-25	@ Herfolge	L 0-1	52.0	1562	1652	17.75%	28.84%	53.40%	-0.64	-3.6	5
1996-08-25	Odense	W 2-1	63.2	1736	1729	42.36%	32.72%	24.92%	+0.28	+4.7	9
1996-08-25	@ Lyngby	L 1-2	63.2	1729	1736	24.92%	32.72%	42.36%	-0.28	-4.7	6
1996-08-25	Viborg	D 1-1	68.1	1693	1652	46.91%	31.46%	21.64%	+0.42	-0.9	5
1996-08-25	@ Vejle BK	D 1-1	68.1	1652	1693	21.64%	31.46%	46.91%	-0.42	+0.9	5
1996-09-01	Hvidovre	D 1-1	69.9	1732	1558	63.53%	23.33%	13.14%	+0.99	-1.8	8
1996-09-01	@ Silkeborg	D 1-1	69.9	1558	1732	13.14%	23.33%	63.53%	-0.99	+1.8	6
1996-09-06	Lyngby	W 2-0	53.6	1780	1741	46.76%	31.51%	21.74%	+0.42	+8.3	15
1996-09-06	@ Aalborg	L 0-2	53.6	1741	1780	21.74%	31.51%	46.76%	-0.42	-8.3	9
1996-09-06	Hvidovre	D 1-1	73.4	1849	1560	75.80%	15.54%	8.66%	+1.49	-2.4	19
1996-09-06	@ Brondby	D 1-1	73.4	1560	1849	8.66%	15.54%	75.80%	-1.49	+2.4	7
1996-09-06	Aarhus GF	W 1-0	61.2	1725	1787	32.52%	33.75%	33.73%	-0.02	+6.2	9
1996-09-06	@ Odense	L 0-1	61.2	1787	1725	33.73%	33.75%	32.52%	+0.02	-6.2	10
1996-09-06	Herfolge	L 0-2	61.3	1730	1656	51.35%	29.76%	18.89%	+0.57	-15.6	8
1996-09-06	@ Silkeborg	W 2-0	61.3	1656	1730	18.89%	29.76%	51.35%	-0.57	+15.6	9
1996-09-08	Vejle BK	D 0-0	64.3	1719	1692	45.09%	32.02%	22.89%	+0.37	-0.8	9
1996-09-08	@ FC Copenhagen	D 0-0	64.3	1692	1719	22.89%	32.02%	45.09%	-0.37	+0.9	6
1996-09-08	AB Copenhagen	D 1-1	67.0	1653	1593	49.60%	30.48%	19.92%	+0.51	-1.0	6
1996-09-08	@ Viborg	D 1-1	67.0	1593	1653	19.92%	30.48%	49.60%	-0.51	+1.0	6
1996-09-15	Aalborg	W 6-1	57.3	1781	1788	40.42%	33.11%	26.47%	+0.22	+19.0	13
1996-09-15	@ Aarhus GF	L 1-6	57.3	1788	1781	26.47%	33.11%	40.42%	-0.22	-19.0	15
1996-09-15	Vejle BK	L 0-3	52.4	1594	1693	27.74%	33.35%	38.92%	-0.17	-14.7	6
1996-09-15	@ AB Copenhagen	W 3-0	52.4	1693	1594	38.92%	33.35%	27.74%	+0.17	+14.7	9
1996-09-15	Silkeborg	W 2-1	58.6	1847	1714	58.65%	26.16%	15.19%	+0.82	+2.9	22
1996-09-15	@ Brondby	L 1-2	58.6	1714	1847	15.19%	26.16%	58.65%	-0.82	-2.9	8
1996-09-15	Viborg	L 0-1	62.6	1671	1652	44.04%	32.31%	23.65%	+0.33	-7.4	9
1996-09-15	@ Herfolge	W 1-0	62.6	1652	1671	23.65%	32.31%	44.04%	-0.33	+7.4	9
1996-09-15	Hvidovre	W 1-0	50.4	1733	1562	63.15%	23.56%	13.29%	+0.98	+2.6	12
1996-09-15	@ Lyngby	L 0-1	50.4	1562	1733	13.29%	23.56%	63.15%	-0.98	-2.6	7
1996-09-15	FC Copenhagen	D 3-3	78.3	1731	1718	43.23%	32.52%	24.25%	+0.31	-0.4	10
1996-09-15	@ Odense	D 3-3	78.3	1718	1731	24.25%	32.52%	43.23%	-0.31	+0.4	10
1996-09-20	Odense	W 2-1	62.0	1769	1731	46.73%	31.52%	21.76%	+0.42	+4.2	18
1996-09-20	@ Aalborg	L 1-2	62.0	1731	1769	21.76%	31.52%	46.73%	-0.42	-4.2	10
1996-09-20	Lyngby	D 1-1	68.2	1711	1735	38.06%	33.46%	28.48%	+0.15	-0.3	9
1996-09-20	@ Silkeborg	D 1-1	68.2	1735	1711	28.48%	33.46%	38.06%	-0.15	+0.3	13
1996-09-20	Brondby	L 0-1	55.6	1660	1849	18.98%	29.83%	51.19%	-0.56	-3.9	9
1996-09-20	@ Viborg	W 1-0	55.6	1849	1660	51.19%	29.83%	18.98%	+0.56	+3.9	25
1996-09-22	AB Copenhagen	D 1-1	69.3	1718	1579	59.48%	25.69%	14.82%	+0.85	-1.6	11
1996-09-22	@ FC Copenhagen	D 1-1	69.3	1579	1718	14.82%	25.69%	59.48%	-0.85	+1.6	7
1996-09-22	Aarhus GF	W 3-2	75.8	1560	1800	15.69%	26.75%	57.56%	-0.78	+8.0	10
1996-09-22	@ Hvidovre	L 2-3	75.8	1800	1560	57.56%	26.75%	15.69%	+0.78	-8.0	13
1996-09-22	Herfolge	D 0-0	64.3	1707	1664	47.33%	31.31%	21.35%	+0.44	-1.0	10
1996-09-22	@ Vejle BK	D 0-0	64.3	1664	1707	21.35%	31.31%	47.33%	-0.44	+1.0	10
1996-09-29	FC Copenhagen	W 2-0	52.8	1774	1717	49.14%	30.66%	20.20%	+0.50	+7.8	21
1996-09-29	@ Aalborg	L 0-2	52.8	1717	1774	20.20%	30.66%	49.14%	-0.50	-7.8	11
1996-09-29	Silkeborg	W 6-1	53.6	1792	1711	52.26%	29.37%	18.37%	+0.60	+13.7	16
1996-09-29	@ Aarhus GF	L 1-6	53.6	1711	1792	18.37%	29.37%	52.26%	-0.60	-13.7	9
1996-09-29	Vejle BK	L 1-2	71.9	1853	1706	60.41%	25.17%	14.43%	+0.88	-8.8	25
1996-09-29	@ Brondby	W 2-1	71.9	1706	1853	14.43%	25.17%	60.41%	-0.88	+8.8	13
1996-09-29	AB Copenhagen	W 2-1	58.0	1665	1580	52.67%	29.18%	18.15%	+0.61	+3.5	13
1996-09-29	@ Herfolge	L 1-2	58.0	1580	1665	18.15%	29.18%	52.67%	-0.61	-3.5	7
1996-09-29	Viborg	L 0-3	59.6	1735	1656	52.07%	29.45%	18.48%	+0.59	-23.0	13
1996-09-29	@ Lyngby	W 3-0	59.6	1656	1735	18.48%	29.45%	52.07%	-0.59	+23.0	12
1996-09-29	Hvidovre	W 2-1	56.0	1726	1568	61.77%	24.37%	13.85%	+0.93	+2.6	13
1996-09-29	@ Odense	L 1-2	56.0	1568	1726	13.85%	24.37%	61.77%	-0.93	-2.6	10
1996-10-02	Silkeborg	D 1-1	69.6	1781	1697	52.64%	29.19%	18.16%	+0.61	-1.2	22
1996-10-02	@ Aalborg	D 1-1	69.6	1697	1781	18.16%	29.19%	52.64%	-0.61	+1.2	10
1996-10-02	Herfolge	L 0-1	63.8	1709	1668	46.91%	31.45%	21.63%	+0.42	-7.8	11
1996-10-02	@ FC Copenhagen	W 1-0	63.8	1668	1709	21.63%	31.45%	46.91%	-0.42	+7.8	16
1996-10-04	Brondby	D 1-1	70.6	1577	1844	14.24%	24.92%	60.85%	-0.90	+1.7	8
1996-10-04	@ AB Copenhagen	D 1-1	70.6	1844	1577	60.85%	24.92%	14.24%	+0.90	-1.7	26
1996-10-04	Aalborg	L 1-2	58.8	1565	1780	17.24%	28.37%	54.39%	-0.67	-3.3	10
1996-10-04	@ Hvidovre	W 2-1	58.8	1780	1565	54.39%	28.37%	17.24%	+0.67	+3.3	25
1996-10-04	Lyngby	D 2-2	73.9	1715	1713	41.78%	32.85%	25.37%	+0.26	-0.4	14
1996-10-04	@ Vejle BK	D 2-2	73.9	1713	1715	25.37%	32.85%	41.78%	-0.26	+0.4	14
1996-10-04	Aarhus GF	L 2-5	61.1	1679	1806	24.55%	32.61%	42.84%	-0.29	-9.8	12
1996-10-04	@ Viborg	W 5-2	61.1	1806	1679	42.84%	32.61%	24.55%	+0.29	+9.8	19
1996-10-06	Odense	D 2-2	73.7	1698	1729	37.13%	33.56%	29.31%	+0.12	-0.2	11
1996-10-06	@ Silkeborg	D 2-2	73.7	1729	1698	29.31%	33.56%	37.13%	-0.12	+0.2	14
1996-10-11	Odense	L 1-2	71.3	1843	1729	56.36%	27.38%	16.26%	+0.74	-8.4	26
1996-10-11	@ Brondby	W 2-1	71.3	1729	1843	16.26%	27.38%	56.36%	-0.74	+8.4	17
1996-10-13	Aalborg	W 4-2	69.3	1676	1784	26.74%	33.17%	40.09%	-0.21	+10.1	19
1996-10-13	@ Herfolge	L 2-4	69.3	1784	1676	40.09%	33.17%	26.74%	+0.21	-10.1	25
1996-10-13	Aarhus GF	W 3-1	65.1	1713	1816	27.29%	33.27%	39.44%	-0.19	+11.2	17
1996-10-13	@ Lyngby	L 1-3	65.1	1816	1713	39.44%	33.27%	27.29%	+0.19	-11.2	19
1996-10-13	AB Copenhagen	D 3-3	78.4	1698	1579	57.08%	27.00%	15.91%	+0.76	-0.9	12
1996-10-13	@ Silkeborg	D 3-3	78.4	1579	1698	15.91%	27.00%	57.08%	-0.76	+0.9	9
1996-10-13	FC Copenhagen	W 3-0	52.3	1715	1701	43.31%	32.50%	24.19%	+0.31	+13.2	17
1996-10-13	@ Vejle BK	L 0-3	52.3	1701	1715	24.19%	32.50%	43.31%	-0.31	-13.2	11
1996-10-13	Hvidovre	D 1-1	67.6	1669	1562	55.50%	27.82%	16.68%	+0.71	-1.4	13
1996-10-13	@ Viborg	D 1-1	67.6	1562	1669	16.68%	27.82%	55.50%	-0.71	+1.4	11
1996-10-20	Vejle BK	W 2-0	53.3	1773	1728	47.59%	31.22%	21.18%	+0.45	+8.1	28
1996-10-20	@ Aalborg	L 0-2	53.3	1728	1773	21.18%	31.22%	47.59%	-0.45	-8.1	17
1996-10-20	Viborg	W 5-0	48.3	1804	1668	59.21%	25.84%	14.94%	+0.84	+13.1	22
1996-10-20	@ Aarhus GF	L 0-5	48.3	1668	1804	14.94%	25.84%	59.21%	-0.84	-13.1	13
1996-10-20	Brondby	L 1-2	62.5	1688	1834	22.60%	31.90%	45.50%	-0.38	-4.3	11
1996-10-20	@ FC Copenhagen	W 2-1	62.5	1834	1688	45.50%	31.90%	22.60%	+0.38	+4.3	29
1996-10-20	Herfolge	L 0-1	56.0	1563	1686	25.02%	32.75%	42.23%	-0.28	-5.0	11
1996-10-20	@ Hvidovre	W 1-0	56.0	1686	1563	42.23%	32.75%	25.02%	+0.28	+5.0	22
1996-10-20	AB Copenhagen	W 3-2	61.8	1724	1580	60.12%	25.33%	14.55%	+0.87	+2.6	20
1996-10-20	@ Lyngby	L 2-3	61.8	1580	1724	14.55%	25.33%	60.12%	-0.87	-2.6	9
1996-10-20	Silkeborg	W 6-0	52.8	1737	1697	46.88%	31.47%	21.65%	+0.42	+23.0	20
1996-10-20	@ Odense	L 0-6	52.8	1697	1737	21.65%	31.47%	46.88%	-0.42	-23.0	12
1996-10-25	Aalborg	D 2-2	75.1	1839	1782	49.15%	30.66%	20.20%	+0.50	-0.8	30
1996-10-25	@ Brondby	D 2-2	75.1	1782	1839	20.20%	30.66%	49.15%	-0.50	+0.8	29
1996-10-27	Odense	D 2-2	74.0	1577	1760	19.46%	30.17%	50.37%	-0.54	+0.8	10
1996-10-27	@ AB Copenhagen	D 2-2	74.0	1760	1577	50.37%	30.17%	19.46%	+0.54	-0.8	21
1996-10-27	Aarhus GF	L 0-1	58.1	1691	1818	24.63%	32.64%	42.73%	-0.29	-4.9	22
1996-10-27	@ Herfolge	W 1-0	58.1	1818	1691	42.73%	32.64%	24.63%	+0.29	+4.9	25
1996-10-27	FC Copenhagen	D 1-1	67.7	1674	1683	40.14%	33.16%	26.70%	+0.21	-0.4	13
1996-10-27	@ Silkeborg	D 1-1	67.7	1683	1674	26.70%	33.16%	40.14%	-0.21	+0.4	12
1996-10-27	Hvidovre	D 3-3	79.3	1720	1558	62.12%	24.17%	13.71%	+0.94	-1.1	18
1996-10-27	@ Vejle BK	D 3-3	79.3	1558	1720	13.71%	24.17%	62.12%	-0.94	+1.1	12
1996-10-27	Lyngby	D 1-1	67.7	1654	1727	31.18%	33.70%	35.12%	-0.06	+0.1	14
1996-10-27	@ Viborg	D 1-1	67.7	1727	1654	35.12%	33.70%	31.18%	+0.06	-0.1	21
1996-11-03	Silkeborg	D 0-0	65.9	1782	1674	55.70%	27.72%	16.58%	+0.72	-1.6	30
1996-11-03	@ Aalborg	D 0-0	65.9	1674	1782	16.58%	27.72%	55.70%	-0.72	+1.6	14
1996-11-03	Vejle BK	W 2-1	59.6	1823	1719	55.12%	28.01%	16.86%	+0.70	+3.2	28
1996-11-03	@ Aarhus GF	L 1-2	59.6	1719	1823	16.86%	28.01%	55.12%	-0.70	-3.2	18
1996-11-03	AB Copenhagen	W 2-0	49.0	1684	1578	55.40%	27.87%	16.73%	+0.71	+6.4	15
1996-11-03	@ FC Copenhagen	L 0-2	49.0	1578	1684	16.73%	27.87%	55.40%	-0.71	-6.4	10
1996-11-03	Brondby	L 2-3	62.1	1560	1838	13.70%	24.16%	62.14%	-0.94	-2.4	12
1996-11-03	@ Hvidovre	W 3-2	62.1	1838	1560	62.14%	24.16%	13.70%	+0.94	+2.4	33
1996-11-03	Odense	L 1-4	62.0	1727	1760	36.75%	33.59%	29.65%	+0.11	-15.1	21
1996-11-03	@ Lyngby	W 4-1	62.0	1760	1727	29.65%	33.59%	36.75%	-0.11	+15.1	24
1996-11-03	Herfolge	W 2-0	55.5	1654	1686	36.94%	33.58%	29.49%	+0.11	+10.6	17
1996-11-03	@ Viborg	L 0-2	55.5	1686	1654	29.49%	33.58%	36.94%	-0.11	-10.6	22
1996-11-06	Aalborg	W 3-1	67.0	1571	1781	17.60%	28.71%	53.69%	-0.65	+14.0	13
1996-11-06	@ AB Copenhagen	L 1-3	67.0	1781	1571	53.69%	28.71%	17.60%	+0.65	-14.0	30
1996-11-06	Aarhus GF	W 2-1	63.3	1840	1826	43.43%	32.47%	24.10%	+0.31	+4.5	36
1996-11-06	@ Brondby	L 1-2	63.3	1826	1840	24.10%	32.47%	43.43%	-0.31	-4.5	28
1996-11-06	Lyngby	L 0-3	56.1	1676	1712	36.37%	33.63%	30.00%	+0.10	-17.7	22
1996-11-06	@ Herfolge	W 3-0	56.1	1712	1676	30.00%	33.63%	36.37%	-0.10	+17.7	24
1996-11-06	FC Copenhagen	W 4-1	55.0	1775	1690	52.68%	29.18%	18.14%	+0.61	+8.6	27
1996-11-06	@ Odense	L 1-4	55.0	1690	1775	18.14%	29.18%	52.68%	-0.61	-8.6	15
1996-11-06	Hvidovre	W 3-0	46.1	1675	1557	56.92%	27.09%	15.99%	+0.76	+8.8	17
1996-11-06	@ Silkeborg	L 0-3	46.1	1557	1675	15.99%	27.09%	56.92%	-0.76	-8.9	12
1996-11-06	Viborg	D 2-2	74.1	1716	1665	48.25%	30.99%	20.76%	+0.47	-0.7	19
1996-11-06	@ Vejle BK	D 2-2	74.1	1665	1716	20.76%	30.99%	48.25%	-0.47	+0.7	18
1996-11-15	Brondby	D 1-1	69.4	1666	1845	19.79%	30.40%	49.81%	-0.52	+1.0	19
1996-11-15	@ Viborg	D 1-1	69.4	1845	1666	49.81%	30.40%	19.79%	+0.52	-1.0	37
1996-11-17	Odense	D 1-1	68.6	1767	1783	39.09%	33.32%	27.58%	+0.18	-0.4	31
1996-11-17	@ Aalborg	D 1-1	68.6	1783	1767	27.58%	33.32%	39.09%	-0.18	+0.4	28
1996-11-17	Silkeborg	D 2-2	76.3	1821	1684	59.21%	25.85%	14.95%	+0.84	-1.2	29
1996-11-17	@ Aarhus GF	D 2-2	76.3	1684	1821	14.95%	25.85%	59.21%	-0.84	+1.2	18
1996-11-17	Vejle BK	W 3-0	55.0	1658	1715	33.36%	33.75%	32.89%	+0.01	+16.6	25
1996-11-17	@ Herfolge	L 0-3	55.0	1715	1658	32.89%	33.75%	33.36%	-0.01	-16.6	19
1996-11-17	AB Copenhagen	D 1-1	63.5	1548	1585	36.19%	33.64%	30.17%	+0.09	-0.2	13
1996-11-17	@ Hvidovre	D 1-1	63.5	1585	1548	30.17%	33.64%	36.19%	-0.09	+0.2	14
1996-11-17	FC Copenhagen	W 2-0	52.8	1729	1682	47.87%	31.13%	21.00%	+0.45	+8.1	27
1996-11-17	@ Lyngby	L 0-2	52.8	1682	1729	21.00%	31.13%	47.87%	-0.45	-8.1	15
1996-11-24	Aarhus GF	D 1-1	69.9	1586	1820	16.03%	27.14%	56.83%	-0.75	+1.5	15
1996-11-24	@ AB Copenhagen	D 1-1	69.9	1820	1586	56.83%	27.14%	16.03%	+0.75	-1.5	30
1996-11-24	Herfolge	L 1-3	69.2	1844	1675	63.05%	23.61%	13.33%	+0.98	-15.6	37
1996-11-24	@ Brondby	W 3-1	69.2	1675	1844	13.33%	23.61%	63.05%	-0.98	+15.6	28
1996-11-24	Aalborg	D 1-1	68.2	1674	1766	28.51%	33.46%	38.02%	-0.15	+0.3	16
1996-11-24	@ FC Copenhagen	D 1-1	68.2	1766	1674	38.02%	33.46%	28.51%	+0.15	-0.3	32
1996-11-24	Hvidovre	L 0-2	63.4	1784	1548	70.44%	19.00%	10.56%	+1.26	-19.4	28
1996-11-24	@ Odense	W 2-0	63.4	1548	1784	10.56%	19.00%	70.44%	-1.26	+19.4	16
1996-11-24	Viborg	D 0-0	63.8	1685	1667	43.98%	32.33%	23.69%	+0.33	-0.8	19
1996-11-24	@ Silkeborg	D 0-0	63.8	1667	1685	23.69%	32.33%	43.98%	-0.33	+0.8	20
1996-11-24	Lyngby	W 4-1	59.9	1698	1737	35.90%	33.66%	30.44%	+0.08	+13.3	22
1996-11-24	@ Vejle BK	L 1-4	59.9	1737	1698	30.44%	33.66%	35.90%	-0.08	-13.3	27
1997-03-14	Brondby	W 3-0	58.1	1711	1828	25.68%	32.93%	41.39%	-0.25	+19.4	25
1997-03-14	@ Vejle BK	L 0-3	58.1	1828	1711	41.39%	32.93%	25.68%	+0.25	-19.4	37
1997-03-16	Odense	D 2-2	75.0	1819	1764	48.76%	30.80%	20.44%	+0.48	-0.7	31
1997-03-16	@ Aarhus GF	D 2-2	75.0	1764	1819	20.44%	30.80%	48.76%	-0.48	+0.7	29
1997-03-16	Silkeborg	D 1-1	68.0	1690	1685	42.18%	32.76%	25.06%	+0.27	-0.6	29
1997-03-16	@ Herfolge	D 1-1	68.0	1685	1690	25.06%	32.76%	42.18%	-0.27	+0.6	20
1997-03-16	FC Copenhagen	L 0-2	53.3	1568	1674	26.86%	33.19%	39.95%	-0.21	-9.9	16
1997-03-16	@ Hvidovre	W 2-0	53.3	1674	1568	39.95%	33.19%	26.86%	+0.21	+9.9	19
1997-03-16	Aalborg	L 0-2	58.3	1724	1766	35.49%	33.68%	30.83%	+0.07	-12.0	27
1997-03-16	@ Lyngby	W 2-0	58.3	1766	1724	30.83%	33.68%	35.49%	-0.07	+12.0	35
1997-03-16	AB Copenhagen	L 0-1	63.3	1668	1587	52.17%	29.40%	18.42%	+0.60	-8.4	20
1997-03-16	@ Viborg	W 1-0	63.3	1587	1668	18.42%	29.40%	52.17%	-0.60	+8.4	18
1997-03-21	Aarhus GF	D 1-1	68.8	1684	1818	23.84%	32.38%	43.77%	-0.32	+0.7	20
1997-03-21	@ FC Copenhagen	D 1-1	68.8	1818	1684	43.77%	32.38%	23.84%	+0.32	-0.7	32
1997-03-23	Hvidovre	L 1-2	71.7	1778	1558	68.82%	20.04%	11.14%	+1.20	-9.5	35
1997-03-23	@ Aalborg	W 2-1	71.7	1558	1778	11.14%	20.04%	68.82%	-1.20	+9.5	19
1997-03-23	Herfolge	D 2-2	72.4	1595	1690	28.33%	33.44%	38.23%	-0.15	+0.2	19
1997-03-23	@ AB Copenhagen	D 2-2	72.4	1690	1595	38.23%	33.44%	28.33%	+0.15	-0.2	30
1997-03-23	Lyngby	W 2-0	51.4	1809	1712	54.24%	28.44%	17.32%	+0.67	+6.7	40
1997-03-23	@ Brondby	L 0-2	51.4	1712	1809	17.32%	28.44%	54.24%	-0.67	-6.7	27
1997-04-01	Vejle BK	D 1-1	68.0	1685	1731	34.97%	33.71%	31.32%	+0.05	-0.1	21
1997-04-01	@ Silkeborg	D 1-1	68.0	1731	1685	31.32%	33.71%	34.97%	-0.05	+0.1	26
1997-04-02	Viborg	W 2-1	59.1	1765	1659	55.38%	27.88%	16.74%	+0.70	+3.2	32
1997-04-02	@ Odense	L 1-2	59.1	1659	1765	16.74%	27.88%	55.38%	-0.70	-3.2	20
1997-04-04	Silkeborg	D 2-2	76.2	1815	1685	58.40%	26.29%	15.31%	+0.81	-1.2	41
1997-04-04	@ Brondby	D 2-2	76.2	1685	1815	15.31%	26.29%	58.40%	-0.81	+1.2	22
1997-04-06	Aalborg	L 0-1	64.8	1817	1768	48.02%	31.07%	20.91%	+0.46	-7.9	32
1997-04-06	@ Aarhus GF	W 1-0	64.8	1768	1817	20.91%	31.07%	48.02%	-0.46	+7.9	38
1997-04-06	Odense	D 1-1	68.2	1689	1768	30.30%	33.65%	36.05%	-0.09	+0.2	31
1997-04-06	@ Herfolge	D 1-1	68.2	1768	1689	36.05%	33.65%	30.30%	+0.09	-0.2	33
1997-04-06	FC Copenhagen	W 1-0	58.7	1656	1684	37.41%	33.53%	29.06%	+0.13	+5.6	23
1997-04-06	@ Viborg	L 0-1	58.7	1684	1656	29.06%	33.53%	37.41%	-0.13	-5.6	20
1997-04-08	Hvidovre	W 2-1	56.4	1705	1567	59.36%	25.76%	14.88%	+0.84	+2.8	30
1997-04-08	@ Lyngby	L 1-2	56.4	1567	1705	14.88%	25.76%	59.36%	-0.84	-2.8	19
1997-04-08	AB Copenhagen	W 1-0	52.1	1731	1596	59.01%	25.96%	15.03%	+0.83	+3.0	29
1997-04-08	@ Vejle BK	L 0-1	52.1	1596	1731	15.03%	25.96%	59.01%	-0.83	-3.0	19
1997-04-11	Vejle BK	L 0-2	60.9	1768	1734	46.07%	31.73%	22.20%	+0.40	-14.4	33
1997-04-11	@ Odense	W 2-0	60.9	1734	1768	22.20%	31.73%	46.07%	-0.40	+14.5	32
1997-04-13	Viborg	W 3-1	56.0	1776	1662	56.50%	27.31%	16.19%	+0.74	+5.3	41
1997-04-13	@ Aalborg	L 1-3	56.0	1662	1776	16.19%	27.31%	56.50%	-0.74	-5.3	23
1997-04-13	Brondby	D 2-2	75.2	1593	1814	16.81%	27.95%	55.24%	-0.70	+1.0	20
1997-04-13	@ AB Copenhagen	D 2-2	75.2	1814	1593	55.24%	27.95%	16.81%	+0.70	-1.0	42
1997-04-13	Herfolge	D 1-1	67.8	1679	1690	39.93%	33.19%	26.88%	+0.21	-0.4	21
1997-04-13	@ FC Copenhagen	D 1-1	67.8	1690	1679	26.88%	33.19%	39.93%	-0.21	+0.4	32
1997-04-13	Aarhus GF	D 2-2	75.4	1564	1809	15.43%	26.45%	58.12%	-0.80	+1.2	20
1997-04-13	@ Hvidovre	D 2-2	75.4	1809	1564	58.12%	26.45%	15.43%	+0.80	-1.1	33
1997-04-13	Lyngby	W 3-1	61.2	1686	1708	38.35%	33.42%	28.23%	+0.16	+8.9	25
1997-04-13	@ Silkeborg	L 1-3	61.2	1708	1686	28.23%	33.42%	38.35%	-0.16	-8.9	30
1997-04-18	Lyngby	D 0-0	65.5	1782	1699	52.42%	29.29%	18.29%	+0.60	-1.3	42
1997-04-18	@ Aalborg	D 0-0	65.5	1699	1782	18.29%	29.29%	52.42%	-0.60	+1.4	31
1997-04-20	Viborg	W 3-1	61.2	1594	1656	32.55%	33.75%	33.70%	-0.02	+10.0	23
1997-04-20	@ AB Copenhagen	L 1-3	61.2	1656	1594	33.70%	33.75%	32.55%	+0.02	-10.0	23
1997-04-20	Vejle BK	W 2-0	52.7	1813	1748	50.14%	30.27%	19.59%	+0.53	+7.6	45
1997-04-20	@ Brondby	L 0-2	52.7	1748	1813	19.59%	30.27%	50.14%	-0.53	-7.6	32
1997-04-20	Hvidovre	W 1-0	51.7	1679	1566	56.27%	27.43%	16.30%	+0.74	+3.3	24
1997-04-20	@ FC Copenhagen	L 0-1	51.7	1566	1679	16.30%	27.43%	56.27%	-0.74	-3.3	20
1997-04-20	Aarhus GF	D 1-1	68.5	1754	1808	33.70%	33.75%	32.56%	+0.02	-0.0	34
1997-04-20	@ Odense	D 1-1	68.5	1808	1754	32.56%	33.75%	33.70%	-0.02	+0.0	34
1997-04-20	Herfolge	W 1-0	57.7	1695	1690	42.13%	32.77%	25.09%	+0.27	+5.0	28
1997-04-20	@ Silkeborg	L 0-1	57.7	1690	1695	25.09%	32.77%	42.13%	-0.27	-5.0	32
1997-04-25	FC Copenhagen	W 2-1	58.6	1808	1682	57.92%	26.56%	15.53%	+0.79	+2.9	37
1997-04-25	@ Aarhus GF	L 1-2	58.6	1682	1808	15.53%	26.56%	57.92%	-0.79	-2.9	24
1997-04-25	AB Copenhagen	W 4-1	53.7	1685	1604	52.27%	29.36%	18.37%	+0.60	+8.7	35
1997-04-25	@ Herfolge	L 1-4	53.7	1604	1685	18.37%	29.36%	52.27%	-0.60	-8.7	23
1997-04-25	Aalborg	D 1-1	69.0	1562	1780	17.02%	28.17%	54.81%	-0.68	+1.3	21
1997-04-25	@ Hvidovre	D 1-1	69.0	1780	1562	54.81%	28.17%	17.02%	+0.68	-1.4	43
1997-04-25	Brondby	W 2-0	60.1	1701	1821	25.30%	32.83%	41.87%	-0.26	+13.5	34
1997-04-25	@ Lyngby	L 0-2	60.1	1821	1701	41.87%	32.83%	25.30%	+0.26	-13.5	45
1997-04-25	Odense	L 3-5	67.0	1646	1754	26.74%	33.17%	40.10%	-0.21	-7.2	23
1997-04-25	@ Viborg	W 5-3	67.0	1754	1646	40.10%	33.17%	26.74%	+0.21	+7.2	37
1997-04-27	Silkeborg	W 2-1	61.7	1741	1700	46.96%	31.44%	21.60%	+0.43	+4.1	35
1997-04-27	@ Vejle BK	L 1-2	61.7	1700	1741	21.60%	31.44%	46.96%	-0.43	-4.1	28
1997-05-02	Aarhus GF	D 1-1	68.6	1779	1811	36.91%	33.58%	29.51%	+0.11	-0.2	44
1997-05-02	@ Aalborg	D 1-1	68.6	1811	1779	29.51%	33.58%	36.91%	-0.11	+0.2	38
1997-05-04	Vejle BK	L 2-3	66.5	1595	1745	22.30%	31.77%	45.94%	-0.39	-4.0	23
1997-05-04	@ AB Copenhagen	W 3-2	66.5	1745	1595	45.94%	31.77%	22.30%	+0.39	+4.0	38
1997-05-04	Viborg	W 2-1	60.7	1679	1639	46.86%	31.47%	21.67%	+0.42	+4.2	27
1997-05-04	@ FC Copenhagen	L 1-2	60.7	1639	1679	21.67%	31.47%	46.86%	-0.42	-4.2	23
1997-05-04	Lyngby	D 2-2	72.8	1564	1714	22.24%	31.74%	46.02%	-0.39	+0.6	22
1997-05-04	@ Hvidovre	D 2-2	72.8	1714	1564	46.02%	31.74%	22.24%	+0.39	-0.6	35
1997-05-04	Herfolge	L 2-3	75.3	1761	1694	50.44%	30.14%	19.41%	+0.54	-7.3	37
1997-05-04	@ Odense	W 3-2	75.3	1694	1761	19.41%	30.14%	50.44%	-0.54	+7.3	38
1997-05-04	Brondby	D 2-2	74.1	1696	1807	26.29%	33.07%	40.64%	-0.23	+0.4	29
1997-05-04	@ Silkeborg	D 2-2	74.1	1807	1696	40.64%	33.07%	26.29%	+0.23	-0.4	46
1997-05-09	Aalborg	W 1-0	63.6	1635	1779	22.86%	32.01%	45.13%	-0.37	+7.5	26
1997-05-09	@ Viborg	L 0-1	63.6	1779	1635	45.13%	32.01%	22.86%	+0.37	-7.5	44
1997-05-11	Hvidovre	W 3-2	59.1	1811	1564	71.66%	18.22%	10.12%	+1.31	+1.6	41
1997-05-11	@ Aarhus GF	L 2-3	59.1	1564	1811	10.12%	18.22%	71.66%	-1.31	-1.6	22
1997-05-11	AB Copenhagen	W 3-2	60.3	1807	1591	68.33%	20.35%	11.32%	+1.18	+1.9	49
1997-05-11	@ Brondby	L 2-3	60.3	1591	1807	11.32%	20.35%	68.33%	-1.18	-1.9	23
1997-05-11	FC Copenhagen	W 4-0	51.7	1701	1683	43.90%	32.35%	23.75%	+0.33	+17.0	41
1997-05-11	@ Herfolge	L 0-4	51.7	1683	1701	23.75%	32.35%	43.90%	-0.33	-17.0	27
1997-05-11	Silkeborg	L 1-4	63.4	1714	1696	43.77%	32.38%	23.84%	+0.32	-17.0	35
1997-05-11	@ Lyngby	W 4-1	63.4	1696	1714	23.84%	32.38%	43.77%	-0.32	+17.0	32
1997-05-11	Odense	W 4-1	58.7	1749	1754	40.80%	33.04%	26.16%	+0.23	+11.9	41
1997-05-11	@ Vejle BK	L 1-4	58.7	1754	1749	26.16%	33.04%	40.80%	-0.23	-11.9	37
1997-05-15	Herfolge	L 0-1	64.7	1771	1718	48.62%	30.86%	20.53%	+0.48	-8.0	44
1997-05-15	@ Aalborg	W 1-0	64.7	1718	1771	20.53%	30.86%	48.62%	-0.48	+8.0	44
1997-05-15	Lyngby	W 4-2	60.5	1813	1696	56.70%	27.20%	16.10%	+0.75	+4.8	44
1997-05-15	@ Aarhus GF	L 2-4	60.5	1696	1813	16.10%	27.20%	56.70%	-0.75	-4.8	35
1997-05-15	Silkeborg	W 4-3	75.5	1589	1713	24.86%	32.71%	42.43%	-0.28	+6.3	26
1997-05-15	@ AB Copenhagen	L 3-4	75.5	1713	1589	42.43%	32.71%	24.86%	+0.28	-6.3	32
1997-05-15	Vejle BK	D 1-1	68.1	1666	1761	28.23%	33.42%	38.34%	-0.16	+0.3	28
1997-05-15	@ FC Copenhagen	D 1-1	68.1	1761	1666	38.34%	33.42%	28.23%	+0.16	-0.3	42
1997-05-15	Viborg	D 0-0	61.2	1563	1642	30.18%	33.64%	36.18%	-0.09	+0.2	23
1997-05-15	@ Hvidovre	D 0-0	61.2	1642	1563	36.18%	33.64%	30.18%	+0.09	-0.2	27
1997-05-15	Brondby	L 0-3	55.5	1742	1809	31.88%	33.73%	34.39%	-0.04	-16.2	37
1997-05-15	@ Odense	W 3-0	55.5	1809	1742	34.39%	33.73%	31.88%	+0.04	+16.2	52
1997-05-19	Lyngby	D 2-2	72.4	1595	1692	28.08%	33.40%	38.52%	-0.16	+0.3	27
1997-05-19	@ AB Copenhagen	D 2-2	72.4	1692	1595	38.52%	33.40%	28.08%	+0.16	-0.3	36
1997-05-19	FC Copenhagen	W 2-0	49.0	1825	1666	61.82%	24.35%	13.83%	+0.93	+5.1	55
1997-05-19	@ Brondby	L 0-2	49.0	1666	1825	13.83%	24.35%	61.82%	-0.93	-5.1	28
1997-05-19	Hvidovre	W 4-3	64.0	1726	1563	62.35%	24.04%	13.62%	+0.95	+2.3	47
1997-05-19	@ Herfolge	L 3-4	64.0	1563	1726	13.62%	24.04%	62.35%	-0.95	-2.3	23
1997-05-19	Odense	W 2-1	64.1	1707	1725	38.86%	33.36%	27.78%	+0.17	+5.1	35
1997-05-19	@ Silkeborg	L 1-2	64.1	1725	1707	27.78%	33.36%	38.86%	-0.17	-5.1	37
1997-05-19	Aalborg	W 2-0	55.4	1761	1763	41.04%	33.00%	25.96%	+0.24	+9.6	45
1997-05-19	@ Vejle BK	L 0-2	55.4	1763	1761	25.96%	33.00%	41.04%	-0.24	-9.6	44
1997-05-19	Aarhus GF	L 0-4	50.5	1642	1818	20.08%	30.58%	49.34%	-0.50	-14.7	27
1997-05-19	@ Viborg	W 4-0	50.5	1818	1642	49.34%	30.58%	20.08%	+0.50	+14.7	47
1997-05-23	Brondby	D 1-1	68.6	1754	1830	30.61%	33.67%	35.72%	-0.08	+0.2	45
1997-05-23	@ Aalborg	D 1-1	68.6	1830	1754	35.72%	33.67%	30.61%	+0.08	-0.2	56
1997-05-25	Herfolge	D 2-2	75.8	1832	1728	55.15%	28.00%	16.85%	+0.70	-1.0	48
1997-05-25	@ Aarhus GF	D 2-2	75.8	1728	1832	16.85%	28.00%	55.15%	-0.70	+1.0	48
1997-05-25	Silkeborg	W 3-0	54.8	1661	1712	34.19%	33.74%	32.07%	+0.03	+16.3	31
1997-05-25	@ FC Copenhagen	L 0-3	54.8	1712	1661	32.07%	33.74%	34.19%	-0.03	-16.3	35
1997-05-25	Vejle BK	L 0-1	53.7	1560	1770	17.57%	28.68%	53.75%	-0.65	-3.6	23
1997-05-25	@ Hvidovre	W 1-0	53.7	1770	1560	53.75%	28.68%	17.57%	+0.65	+3.6	48
1997-05-25	Viborg	D 1-1	68.2	1691	1627	50.04%	30.31%	19.65%	+0.53	-1.1	37
1997-05-25	@ Lyngby	D 1-1	68.2	1627	1691	19.65%	30.31%	50.04%	-0.53	+1.1	28
1997-05-25	AB Copenhagen	L 1-2	70.1	1720	1596	57.70%	26.67%	15.63%	+0.78	-8.5	37
1997-05-25	@ Odense	W 2-1	70.1	1596	1720	15.63%	26.67%	57.70%	-0.78	+8.5	30
1997-05-29	FC Copenhagen	L 0-1	58.6	1604	1678	31.05%	33.70%	35.25%	-0.06	-5.8	30
1997-05-29	@ AB Copenhagen	W 1-0	58.6	1678	1604	35.25%	33.70%	31.05%	+0.06	+5.8	34
1997-05-29	Hvidovre	W 3-1	50.3	1830	1557	74.28%	16.52%	9.19%	+1.42	+2.6	59
1997-05-29	@ Brondby	L 1-3	50.3	1557	1830	9.19%	16.52%	74.28%	-1.42	-2.6	23
1997-05-29	Viborg	W 1-0	53.7	1729	1628	54.76%	28.19%	17.05%	+0.68	+3.5	51
1997-05-29	@ Herfolge	L 0-1	53.7	1628	1729	17.05%	28.19%	54.76%	-0.68	-3.5	28
1997-05-29	Lyngby	W 4-3	70.6	1712	1690	44.36%	32.23%	23.41%	+0.34	+4.1	40
1997-05-29	@ Odense	L 3-4	70.6	1690	1712	23.41%	32.23%	44.36%	-0.34	-4.1	37
1997-05-29	Aalborg	D 1-1	68.1	1696	1754	33.20%	33.75%	33.05%	+0.00	-0.0	36
1997-05-29	@ Silkeborg	D 1-1	68.1	1754	1696	33.05%	33.75%	33.20%	+0.00	+0.0	46
1997-05-29	Aarhus GF	D 1-1	68.6	1774	1831	33.26%	33.75%	32.99%	+0.00	-0.0	49
1997-05-29	@ Vejle BK	D 1-1	68.6	1831	1774	32.99%	33.75%	33.26%	+0.00	+0.0	49
1997-06-01	AB Copenhagen	L 1-3	68.1	1754	1598	61.42%	24.58%	14.00%	+0.92	-15.4	46
1997-06-01	@ Aalborg	W 3-1	68.1	1598	1754	14.00%	24.58%	61.42%	-0.92	+15.4	33
1997-06-01	Brondby	L 2-3	73.9	1831	1833	41.24%	32.96%	25.80%	+0.25	-6.3	49
1997-06-01	@ Aarhus GF	W 3-2	73.9	1833	1831	25.80%	32.96%	41.24%	-0.25	+6.3	62
1997-06-01	Odense	W 1-0	59.4	1683	1716	36.83%	33.59%	29.59%	+0.11	+5.6	37
1997-06-01	@ FC Copenhagen	L 0-1	59.4	1716	1683	29.59%	33.59%	36.83%	-0.11	-5.6	40
1997-06-01	Silkeborg	L 0-1	55.3	1554	1696	23.09%	32.10%	44.81%	-0.36	-4.6	23
1997-06-01	@ Hvidovre	W 1-0	55.3	1696	1554	44.81%	32.10%	23.09%	+0.36	+4.7	39
1997-06-01	Herfolge	D 1-1	68.0	1686	1733	34.83%	33.72%	31.45%	+0.05	-0.1	38
1997-06-01	@ Lyngby	D 1-1	68.0	1733	1686	31.45%	33.72%	34.83%	-0.05	+0.1	52
1997-06-01	Vejle BK	D 1-1	68.4	1625	1774	22.40%	31.82%	45.78%	-0.39	+0.8	29
1997-06-01	@ Viborg	D 1-1	68.4	1774	1625	45.78%	31.82%	22.40%	+0.39	-0.8	50
1997-06-11	Hvidovre	W 7-1	50.1	1614	1550	50.05%	30.30%	19.65%	+0.53	+17.4	36
1997-06-11	@ AB Copenhagen	L 1-7	50.1	1550	1614	19.65%	30.30%	50.05%	-0.53	-17.4	23
1997-06-11	Viborg	W 4-0	44.9	1839	1626	68.02%	20.55%	11.43%	+1.16	+7.5	65
1997-06-11	@ Brondby	L 0-4	44.9	1626	1839	11.43%	20.55%	68.02%	-1.16	-7.5	29
1997-06-11	Lyngby	D 1-1	67.9	1689	1686	41.80%	32.84%	25.36%	+0.26	-0.5	38
1997-06-11	@ FC Copenhagen	D 1-1	67.9	1686	1689	25.36%	32.84%	41.80%	-0.26	+0.5	39
1997-06-11	Aalborg	D 1-1	68.2	1710	1738	37.46%	33.53%	29.01%	+0.13	-0.3	41
1997-06-11	@ Odense	D 1-1	68.2	1738	1710	29.01%	33.53%	37.46%	-0.13	+0.3	47
1997-06-11	Aarhus GF	W 4-3	77.0	1701	1825	24.84%	32.70%	42.46%	-0.28	+6.3	42
1997-06-11	@ Silkeborg	L 3-4	77.0	1825	1701	42.46%	32.70%	24.84%	+0.28	-6.3	49
1997-06-11	Herfolge	W 4-1	56.9	1773	1733	46.88%	31.47%	21.66%	+0.42	+10.2	53
1997-06-11	@ Vejle BK	L 1-4	56.9	1733	1773	21.66%	31.47%	46.88%	-0.42	-10.2	52
1997-06-15	FC Copenhagen	L 0-1	64.4	1739	1688	48.24%	30.99%	20.77%	+0.47	-7.9	47
1997-06-15	@ Aalborg	W 1-0	64.4	1688	1739	20.77%	30.99%	48.24%	-0.47	+7.9	41
1997-06-15	AB Copenhagen	W 2-1	56.3	1819	1631	65.16%	22.33%	12.51%	+1.06	+2.2	52
1997-06-15	@ Aarhus GF	L 1-2	56.3	1631	1819	12.51%	22.33%	65.16%	-1.06	-2.2	36
1997-06-15	Brondby	L 1-2	63.5	1723	1846	24.92%	32.72%	42.35%	-0.28	-4.7	52
1997-06-15	@ Herfolge	W 2-1	63.5	1846	1723	42.35%	32.72%	24.92%	+0.28	+4.7	68
1997-06-15	Odense	W 4-3	76.0	1532	1710	19.91%	30.47%	49.62%	-0.51	+7.1	26
1997-06-15	@ Hvidovre	L 3-4	76.0	1710	1532	49.62%	30.47%	19.91%	+0.51	-7.1	41
1997-06-15	Vejle BK	D 1-1	68.3	1687	1783	28.05%	33.40%	38.56%	-0.16	+0.3	40
1997-06-15	@ Lyngby	D 1-1	68.3	1783	1687	38.56%	33.40%	28.05%	+0.16	-0.3	54
1997-06-15	Silkeborg	L 0-2	55.2	1618	1707	29.04%	33.53%	37.44%	-0.13	-10.5	29
1997-06-15	@ Viborg	W 2-0	55.2	1707	1618	37.44%	33.53%	29.04%	+0.13	+10.5	45

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	1996-11-24	10.56%	Hvidovre	1548	2	@ Odense	1784	0
2	1997-03-23	11.14%	Hvidovre	1558	2	@ Aalborg	1778	1
3	1996-11-24	13.33%	Herfolge	1675	3	@ Brondby	1844	1
4	1996-08-02	13.99%	AB Copenhagen	1588	3	@ Odense	1744	1
5	1997-06-01	14.00%	AB Copenhagen	1598	3	@ Aalborg	1754	1
6	1996-09-29	14.43%	Vejle BK	1706	2	@ Brondby	1853	1
7	1997-05-25	15.63%	AB Copenhagen	1596	2	@ Odense	1720	1
8	1996-09-22	15.69%	@ Hvidovre	1560	3	Aarhus GF	1800	2
9	1996-10-11	16.26%	Odense	1729	2	@ Brondby	1843	1
10	1996-11-06	17.60%	@ AB Copenhagen	1571	3	Aalborg	1781	1
11	1997-03-16	18.42%	AB Copenhagen	1587	1	@ Viborg	1668	0
12	1996-09-29	18.48%	Viborg	1656	3	@ Lyngby	1735	0
13	1996-09-06	18.89%	Herfolge	1656	2	@ Silkeborg	1730	0
14	1997-05-04	19.41%	Herfolge	1694	3	@ Odense	1761	2
15	1997-06-15	19.91%	@ Hvidovre	1532	4	Odense	1710	3
16	1996-08-16	20.10%	Lyngby	1729	4	@ Aarhus GF	1788	3
17	1997-05-15	20.53%	Herfolge	1718	1	@ Aalborg	1771	0
18	1997-06-15	20.77%	FC Copenhagen	1688	1	@ Aalborg	1739	0
19	1997-04-06	20.91%	Aalborg	1768	1	@ Aarhus GF	1817	0
20	1996-10-02	21.63%	Herfolge	1668	1	@ FC Copenhagen	1709	0
21	1997-04-11	22.20%	Vejle BK	1734	2	@ Odense	1768	0
22	1996-08-11	22.45%	FC Copenhagen	1712	2	@ Lyngby	1744	0
23	1997-05-09	22.86%	@ Viborg	1635	1	Aalborg	1779	0
24	1996-09-15	23.65%	Viborg	1652	1	@ Herfolge	1671	0
25	1997-05-11	23.84%	Silkeborg	1696	4	@ Lyngby	1714	1

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	1996-07-31	26.26	Aalborg	5	1739	34.17%	@ Viborg	0	1673	32.09%	33.74%
2	1996-07-31	23.33	@ Vejle BK	4	1683	29.67%	Odense	0	1767	36.73%	33.60%
3	1996-10-20	23.05	@ Odense	6	1737	46.88%	Silkeborg	0	1697	21.65%	31.47%
4	1996-09-29	22.95	Viborg	3	1656	18.48%	@ Lyngby	0	1735	52.07%	29.45%
5	1997-03-14	19.42	@ Vejle BK	3	1711	25.68%	Brondby	0	1828	41.39%	32.93%
6	1996-11-24	19.37	Hvidovre	2	1548	10.56%	@ Odense	0	1784	70.44%	19.00%
7	1996-09-15	18.95	@ Aarhus GF	6	1781	40.42%	Aalborg	1	1788	26.47%	33.11%
8	1996-11-06	17.74	Lyngby	3	1712	30.00%	@ Herfolge	0	1676	36.37%	33.63%
9	1997-06-11	17.37	@ AB Copenhagen	7	1614	50.05%	Hvidovre	1	1550	19.65%	30.30%
10	1997-05-11	17.05	Silkeborg	4	1696	23.84%	@ Lyngby	1	1714	43.77%	32.38%
11	1997-05-11	17.04	@ Herfolge	4	1701	43.90%	FC Copenhagen	0	1683	23.75%	32.35%
12	1996-11-17	16.58	@ Herfolge	3	1658	33.36%	Vejle BK	0	1715	32.89%	33.75%
13	1997-05-25	16.30	@ FC Copenhagen	3	1661	34.19%	Silkeborg	0	1712	32.07%	33.74%
14	1997-05-15	16.23	Brondby	3	1809	34.39%	@ Odense	0	1742	31.88%	33.73%
15	1996-11-24	15.64	Herfolge	3	1675	13.33%	@ Brondby	1	1844	63.05%	23.61%
16	1996-09-06	15.64	Herfolge	2	1656	18.89%	@ Silkeborg	0	1730	51.35%	29.76%
17	1996-08-02	15.37	AB Copenhagen	3	1588	13.99%	@ Odense	1	1744	61.43%	24.58%
18	1997-06-01	15.37	AB Copenhagen	3	1598	14.00%	@ Aalborg	1	1754	61.42%	24.58%
19	1996-11-03	15.06	Odense	4	1760	29.65%	@ Lyngby	1	1727	36.75%	33.59%
20	1996-09-15	14.72	Vejle BK	3	1693	38.92%	@ AB Copenhagen	0	1594	27.74%	33.35%
21	1997-05-19	14.69	Aarhus GF	4	1818	49.34%	@ Viborg	0	1642	20.08%	30.58%
22	1997-04-11	14.45	Vejle BK	2	1734	22.20%	@ Odense	0	1768	46.07%	31.73%
23	1996-08-11	14.37	FC Copenhagen	2	1712	22.45%	@ Lyngby	0	1744	45.72%	31.84%
24	1996-08-02	14.16	Brondby	4	1813	32.70%	@ Lyngby	1	1758	33.55%	33.75%
25	1996-11-06	13.99	@ AB Copenhagen	3	1571	17.60%	Aalborg	1	1781	53.69%	28.71%

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	1996-10-27	79.3	@ Vejle BK	3	1720	62.12%	Hvidovre	3	1558	13.71%	24.17%
2	1996-08-16	78.4	Lyngby	4	1729	20.10%	@ Aarhus GF	3	1788	49.31%	30.59%
3	1996-10-13	78.4	@ Silkeborg	3	1698	57.08%	AB Copenhagen	3	1579	15.91%	27.00%
4	1996-09-15	78.3	@ Odense	3	1731	43.23%	FC Copenhagen	3	1718	24.25%	32.52%
5	1997-06-11	77.0	@ Silkeborg	4	1701	24.84%	Aarhus GF	3	1825	42.46%	32.70%
6	1996-11-17	76.3	@ Aarhus GF	2	1821	59.21%	Silkeborg	2	1684	14.95%	25.85%
7	1997-04-04	76.2	@ Brondby	2	1815	58.40%	Silkeborg	2	1685	15.31%	26.29%
8	1997-06-15	76.0	@ Hvidovre	4	1532	19.91%	Odense	3	1710	49.62%	30.47%
9	1996-09-22	75.8	@ Hvidovre	3	1560	15.69%	Aarhus GF	2	1800	57.56%	26.75%
10	1997-05-25	75.8	@ Aarhus GF	2	1832	55.15%	Herfolge	2	1728	16.85%	28.00%
11	1997-05-15	75.5	@ AB Copenhagen	4	1589	24.86%	Silkeborg	3	1713	42.43%	32.71%
12	1997-04-13	75.4	@ Hvidovre	2	1564	15.43%	Aarhus GF	2	1809	58.12%	26.45%
13	1997-05-04	75.3	Herfolge	3	1694	19.41%	@ Odense	2	1761	50.44%	30.14%
14	1997-04-13	75.2	@ AB Copenhagen	2	1593	16.81%	Brondby	2	1814	55.24%	27.95%
15	1996-10-25	75.1	@ Brondby	2	1839	49.15%	Aalborg	2	1782	20.20%	30.66%
16	1997-03-16	75.0	@ Aarhus GF	2	1819	48.76%	Odense	2	1764	20.44%	30.80%
17	1996-08-11	74.4	@ Vejle BK	2	1703	59.82%	Hvidovre	2	1561	14.68%	25.50%
18	1996-11-06	74.1	@ Vejle BK	2	1716	48.25%	Viborg	2	1665	20.76%	30.99%
19	1997-05-04	74.1	@ Silkeborg	2	1696	26.29%	Brondby	2	1807	40.64%	33.07%
20	1996-10-27	74.0	@ AB Copenhagen	2	1577	19.46%	Odense	2	1760	50.37%	30.17%
21	1996-10-04	73.9	@ Vejle BK	2	1715	41.78%	Lyngby	2	1713	25.37%	32.85%
22	1997-06-01	73.9	Brondby	3	1833	25.80%	@ Aarhus GF	2	1831	41.24%	32.96%
23	1996-10-06	73.7	@ Silkeborg	2	1698	37.13%	Odense	2	1729	29.31%	33.56%
24	1996-09-06	73.4	@ Brondby	1	1849	75.80%	Hvidovre	1	1560	8.66%	15.54%
25	1997-05-04	72.8	@ Hvidovre	2	1564	22.24%	Lyngby	2	1714	46.02%	31.74%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	1997-06-11	44.9	@ Brondby	4	1839	68.02%	Viborg	0	1626	11.43%	20.55%
2	1996-11-06	46.1	@ Silkeborg	3	1675	56.92%	Hvidovre	0	1557	15.99%	27.09%
3	1996-10-20	48.3	@ Aarhus GF	5	1804	59.21%	Viborg	0	1668	14.94%	25.84%
4	1996-08-18	48.4	@ Aalborg	4	1776	56.18%	Herfolge	0	1664	16.34%	27.47%
5	1996-08-04	48.9	@ Aarhus GF	3	1787	55.63%	Herfolge	0	1679	16.62%	27.76%
6	1996-11-03	49.0	@ FC Copenhagen	2	1684	55.40%	AB Copenhagen	0	1578	16.73%	27.87%
7	1997-05-19	49.0	@ Brondby	2	1825	61.82%	FC Copenhagen	0	1666	13.83%	24.35%
8	1996-07-28	49.7	@ Lyngby	6	1761	62.48%	AB Copenhagen	1	1597	13.56%	23.96%
9	1996-07-28	50.0	@ Brondby	2	1803	58.43%	Herfolge	0	1672	15.29%	26.28%
10	1997-06-11	50.1	@ AB Copenhagen	7	1614	50.05%	Hvidovre	1	1550	19.65%	30.30%
11	1997-05-29	50.3	@ Brondby	3	1830	74.28%	Hvidovre	1	1557	9.19%	16.52%
12	1996-09-15	50.4	@ Lyngby	1	1733	63.15%	Hvidovre	0	1562	13.29%	23.56%
13	1997-05-19	50.5	Aarhus GF	4	1818	49.34%	@ Viborg	0	1642	20.08%	30.58%
14	1997-03-23	51.4	@ Brondby	2	1809	54.24%	Lyngby	0	1712	17.32%	28.44%
15	1997-04-20	51.7	@ FC Copenhagen	1	1679	56.27%	Hvidovre	0	1566	16.30%	27.43%
16	1997-05-11	51.7	@ Herfolge	4	1701	43.90%	FC Copenhagen	0	1683	23.75%	32.35%
17	1996-08-25	52.0	@ Herfolge	1	1652	53.40%	Hvidovre	0	1562	17.75%	28.84%
18	1997-04-08	52.1	@ Vejle BK	1	1731	59.01%	AB Copenhagen	0	1596	15.03%	25.96%
19	1996-10-13	52.3	@ Vejle BK	3	1715	43.31%	FC Copenhagen	0	1701	24.19%	32.50%
20	1996-09-15	52.4	Vejle BK	3	1693	38.92%	@ AB Copenhagen	0	1594	27.74%	33.35%
21	1997-04-20	52.7	@ Brondby	2	1813	50.14%	Vejle BK	0	1748	19.59%	30.27%
22	1996-09-29	52.8	@ Aalborg	2	1774	49.14%	FC Copenhagen	0	1717	20.20%	30.66%
23	1996-10-20	52.8	@ Odense	6	1737	46.88%	Silkeborg	0	1697	21.65%	31.47%
24	1996-11-17	52.8	@ Lyngby	2	1729	47.87%	FC Copenhagen	0	1682	21.00%	31.13%
25	1996-08-25	53.3	@ Brondby	2	1841	48.59%	Aalborg	0	1788	20.54%	30.87%