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

10.76 points above expected

52 points · 41.24 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	60.20	+7.80
2	Vejle BK	33	14	12	7	54	57	38	+19	46.63	+7.37
3	Aarhus GF	33	14	10	9	52	75	51	+24	57.07	-5.07
4	Herfolge	33	15	7	11	52	46	42	+4	41.24	+10.76
5	Aalborg	33	12	11	10	47	46	40	+6	52.67	-5.67
6	Silkeborg	33	10	15	8	45	51	55	-4	44.44	+0.56
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	42.53	-1.53
9	Lyngby	33	10	10	13	40	50	61	-11	46.01	-6.01
10	AB Copenhagen	33	8	12	13	36	56	62	-6	30.36	+5.64
11	Viborg Relegated	33	6	11	16	29	31	58	-27	36.53	-7.53
12	Hvidovre Relegated	33	5	11	17	26	39	59	-20	27.11	-1.11

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.

Form

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

League Race

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

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	1844	68	60.20	+7.80	88.6%	35	48	55	60	65	72	86
Aarhus GF	1813	52	57.07	-5.07	25.4%	34	46	52	57	62	69	83
Vejle BK	1775	54	46.63	+7.37	87.4%	23	36	42	47	51	58	78
Aalborg	1723	47	52.67	-5.67	23.6%	27	41	48	53	58	64	78
Herfolge	1711	52	41.24	+10.76	94.7%	17	30	37	41	46	53	70
Silkeborg	1710	45	44.44	+0.56	55.9%	23	33	40	44	49	56	72
Odense	1695	41	49.36	-8.36	13.1%	24	38	45	49	54	61	73
FC Copenhagen	1689	41	42.53	-1.53	44.1%	17	31	38	43	47	54	70
Lyngby	1680	40	46.01	-6.01	21.3%	21	35	41	46	51	57	78
AB Copenhagen	1624	36	30.36	+5.64	82.5%	4	20	26	30	35	41	54
Viborg	1600	29	36.53	-7.53	14.8%	15	26	32	36	41	48	63
Hvidovre	1534	26	27.11	-1.11	46.9%	6	17	23	27	31	37	52

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 2.44	0-2-1 2.21	0-2-1 2.02	0-1-2 2.78	0-1-2 2.89	1-2-0 4.28	0-1-2 2.54	2-1-0 2.31	1-1-1 2.90	0-0-3 2.89	2-1-0 3.09
Aalborg	1-0-2 5.71	—	1-1-1 3.51	0-2-1 3.09	1-1-1 5.01	1-0-2 5.26	1-1-1 6.08	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 6.00	1-1-1 4.51	—	0-0-3 3.61	2-1-0 5.41	2-1-0 5.49	1-1-1 6.31	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 6.24	1-2-0 4.95	3-0-0 4.42	—	3-0-0 5.25	2-0-1 5.74	2-1-0 6.91	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 5.35	1-1-1 3.04	0-1-2 2.69	0-0-3 2.85	—	0-1-2 4.29	3-0-0 5.17	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 5.19	2-0-1 2.82	0-1-2 2.63	1-0-2 2.43	2-1-0 3.74	—	3-0-0 5.57	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 2.15	1-1-1 1.97	0-1-2 1.53	0-0-3 2.90	0-0-3 2.57	—	0-1-2 2.34	2-0-1 2.09	0-1-2 2.41	0-2-1 2.18	1-2-0 3.24
Lyngby	2-1-0 5.63	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 5.84	—	1-0-2 4.06	0-1-2 4.01	0-2-1 3.51	0-2-1 5.05
Odense	0-1-2 5.87	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 6.17	2-0-1 3.95	—	1-1-1 4.10	0-0-3 4.25	3-0-0 5.34
Silkeborg	1-1-1 5.17	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 5.75	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 5.20	1-0-2 3.42	0-1-2 2.92	2-0-1 2.68	1-2-0 4.12	1-1-1 4.78	1-2-0 6.03	1-2-0 4.49	3-0-0 3.76	1-1-1 4.04	—	0-3-0 5.17
Viborg	0-1-2 4.97	1-0-2 3.07	0-0-3 2.68	0-1-2 2.32	1-1-1 3.28	2-0-1 3.27	0-2-1 4.81	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

Home-Field Advantage Edge

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

Top Overachievers & Disappointments

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

Biggest Overachievers

#	Team	Actual	Sim	vsSim
1	Herfolge	52	41.24	+10.76
2	Brondby	68	60.20	+7.80
3	Vejle BK	54	46.63	+7.37
4	AB Copenhagen	36	30.36	+5.64
5	Silkeborg	45	44.44	+0.56

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Odense	41	49.36	-8.36
2	Viborg	29	36.53	-7.53
3	Lyngby	40	46.01	-6.01
4	Aalborg	47	52.67	-5.67
5	Aarhus GF	52	57.07	-5.07

Top Streaks

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

Most Unlikely Winning Streaks

#	Team	Games	Dates	Probability
1	Herfolge	5	Apr 25 – May 19	1 in 177
2	Brondby	6	Jul 28 – Aug 25	1 in 159
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 598
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 26
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 529
2	Aarhus GF	8	Nov 6 – Apr 20	1 in 174
3	Silkeborg	11	Sep 1 – Nov 3	1 in 149
4	FC Copenhagen	10	Aug 18 – Oct 27	1 in 83
5	Lyngby	9	May 4 – Jun 15	1 in 47

Finish Position Heatmap

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	49.39%	24.34%	12.81%	6.23%	3.59%	2.01%	0.94%	0.55%	0.12%	0.02%	—	—
Vejle BK	2.57%	6.06%	10.21%	13.90%	14.88%	14.60%	12.57%	11.31%	7.69%	4.33%	1.52%	0.36%
Aarhus GF	28.04%	29.23%	17.66%	10.79%	6.35%	3.82%	2.26%	1.15%	0.36%	0.27%	0.07%	—
Herfolge	0.44%	1.40%	3.38%	5.90%	8.27%	11.20%	14.26%	15.76%	17.55%	13.40%	6.61%	1.83%
Aalborg	10.70%	18.12%	20.02%	16.81%	12.42%	8.55%	6.18%	4.06%	1.98%	0.87%	0.27%	0.02%
Silkeborg	1.19%	3.70%	6.37%	9.27%	12.71%	14.24%	14.79%	14.01%	11.69%	8.07%	3.28%	0.68%
Odense	5.09%	10.11%	15.15%	15.90%	15.22%	12.70%	9.76%	7.21%	5.13%	2.73%	0.88%	0.12%
FC Copenhagen	0.64%	1.99%	4.46%	6.95%	9.56%	12.76%	14.53%	15.79%	14.68%	11.53%	5.59%	1.52%
Lyngby	1.87%	4.65%	8.99%	12.41%	13.21%	14.15%	14.37%	12.39%	9.44%	5.83%	2.13%	0.56%
AB Copenhagen	—	0.01%	0.06%	0.24%	0.58%	1.04%	2.46%	4.49%	9.10%	17.32%	35.00%	29.70%
Viborg	0.07%	0.39%	0.87%	1.57%	3.06%	4.72%	7.22%	11.72%	17.73%	25.93%	17.85%	8.87%
Hvidovre	—	—	0.02%	0.03%	0.15%	0.21%	0.66%	1.56%	4.53%	9.70%	26.80%	56.34%

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.

Points 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).

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 5% * Slight Edge: 5% to 15% * Clear Edge: 15% to 25% * Strong Edge: 25% 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.

231 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 2 * Top-Heavy: 2 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 0.15 * Tight Race: 0.15 to 0.4 * Comfortable: 0.4 to 0.75 * Runaway: 0.75 and up.

Title-Race Openness

3.0

Top-Heavy

124610

Champion Preseason Odds

49%

Brondby, 1st of 12

LongshotFavorite

Title Margin

Expected

0.42/gm

Comfortable

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 5.47 * Some Luck: 5.47 to 8.21 * Lucky: 8.21 to 10.95 * Wild Swing: 10.95 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 1.26 * Close: 1.26 to 1.9 * Off: 1.9 to 2.53 * Way Off: 2.53 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 0.52 * A Surprise: 0.52 to 0.83 * Several Surprises: 0.83 to 1.15 * Many Surprises: 1.15 and up.

Luck Spread

Expected

6.37 points

Some Luck

06.8417

Average Finish Error

Expected

1.67

01.584

Biggest Overachiever

Expected 95.83%

94.68%

Herfolge

50100

Biggest Underachiever

Expected 4.17%

13.12%

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 0.18 * Top-Heavy: 0.18 to 0.26 * Lopsided: 0.26 and up.
Noll-Scully: How much more spread out the table was than a league where every match is a coin flip. The gold line at 1 is that coin-flip baseline. Above it, real talent gaps stretched the table; below it, the league was tighter than luck alone would produce.
Coin-Flip Parity: under 1 * Moderate Separation: 1 to 1.6 * Strong Separation: 1.6 to 2.2 * Wide Separation: 2.2 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 60% * Slight Edge: 60% to 70% * Clear Edge: 70% to 80% * Wide Edge: 80% 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 70% * Clear Edge: 70% to 82% * Strong Edge: 82% to 92% * Dominant: 92% 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 30% * Some Drama: 30% to 40% * Frequent: 40% to 50% * Very Frequent: 50% 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 8% * Occasional: 8% to 14% * Frequent: 14% to 22% * Very Frequent: 22% and up.

Gini Index

0.14

Even

00.120.180.260.5

Noll-Scully

Coin-flip

1.34

Moderate Separation

01.003

Interquartile Edge

60%

Slight Edge

50%60%70%80%100%

Best vs. Worst

Baseline

86%

Strong Edge

50%85%100%

Close Games

Expected

65%

Very Frequent

0%58%100%

Blowouts

Expected

16%

Frequent

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 0.1 * Slight Separation: 0.1 to 0.18 * Notable Separation: 0.18 to 0.28 * Lopsided: 0.28 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 0.6 * Strong Carryover: 0.6 to 0.85 * Near-Lock: 0.85 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 25% * As Expected: 25% to 33% * Upset-Prone: 33% to 42% * Very Upset-Prone: 42% 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 15% * As Expected: 15% to 25% * Shaky Favorites: 25% to 35% * Very Shaky: 35% and up.

Brier Score

Expected

0.63

Hard to Predict

00.622

Matchup Imbalance

0.36

Lopsided

00.10.180.280.5

Strangeness

Expected

0.85

As Expected

01.002

Repeatability

0.53

Some Carryover

00.30.60.851

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 0.24 * Well Above Noise: 0.24 and up.

Probability calibration

0.51

Excellent

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

00.1220.3

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
Brondby	100%	—
Aarhus GF	99.93%	0.07%
Aalborg	99.71%	0.29%
Odense	99.00%	1.00%
Vejle BK	98.12%	1.88%
Lyngby	97.31%	2.69%
Silkeborg	96.04%	3.96%
FC Copenhagen	92.89%	7.11%
Herfolge	91.56%	8.44%
Viborg	73.28%	26.72%
AB Copenhagen	35.30%	64.70%
Hvidovre	16.86%	83.14%

Filter by Team:

Overall Game Log

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

Date	Opponent	Score	Pre Elo	Opp Elo	Win %	Tie %	Loss %	Elo Δ	Points
1996-07-28	Vejle BK	W 3-2	1777	1679	54.45%	28.34%	17.21%	+3.1	3
1996-07-28	@ Aarhus GF	L 2-3	1679	1777	17.21%	28.34%	54.45%	-3.1	0
1996-07-28	Herfolge	W 2-0	1795	1664	58.40%	26.29%	15.31%	+5.8	3
1996-07-28	@ Brondby	L 0-2	1664	1795	15.31%	26.29%	58.40%	-5.8	0
1996-07-28	FC Copenhagen	L 1-2	1554	1704	22.28%	31.76%	45.95%	-4.3	0
1996-07-28	@ Hvidovre	W 2-1	1704	1554	45.95%	31.76%	22.28%	+4.2	3
1996-07-28	AB Copenhagen	W 6-1	1753	1593	62.02%	24.23%	13.75%	+9.8	3
1996-07-28	@ Lyngby	L 1-6	1593	1753	13.75%	24.23%	62.02%	-9.8	0
1996-07-28	Viborg	W 3-1	1753	1672	52.27%	29.36%	18.37%	+6.1	3
1996-07-28	@ Odense	L 1-3	1672	1753	18.37%	29.36%	52.27%	-6.1	0
1996-07-31	Aarhus GF	D 1-1	1583	1780	18.42%	29.40%	52.18%	+1.2	1
1996-07-31	@ AB Copenhagen	D 1-1	1780	1583	52.18%	29.40%	18.42%	-1.2	4
1996-07-31	Brondby	L 2-3	1709	1801	28.62%	33.48%	37.90%	-4.9	3
1996-07-31	@ FC Copenhagen	W 3-2	1801	1709	37.90%	33.48%	28.62%	+4.9	6
1996-07-31	Lyngby	W 2-0	1659	1763	27.09%	33.23%	39.68%	+13.0	3
1996-07-31	@ Herfolge	L 0-2	1763	1659	39.68%	33.23%	27.09%	-13.0	3
1996-07-31	Odense	W 4-0	1676	1759	29.68%	33.60%	36.72%	+23.3	3
1996-07-31	@ Vejle BK	L 0-4	1759	1676	36.72%	33.60%	29.68%	-23.3	3
1996-07-31	Aalborg	L 0-5	1666	1731	32.11%	33.74%	34.16%	-26.3	0
1996-07-31	@ Viborg	W 5-0	1731	1666	34.16%	33.74%	32.11%	+26.3	3
1996-08-02	Brondby	L 1-4	1750	1805	33.57%	33.75%	32.68%	-14.2	3
1996-08-02	@ Lyngby	W 4-1	1805	1750	32.68%	33.75%	33.57%	+14.2	9
1996-08-02	AB Copenhagen	L 1-3	1736	1584	60.99%	24.83%	14.18%	-15.3	3
1996-08-02	@ Odense	W 3-1	1584	1736	14.18%	24.83%	60.99%	+15.3	4
1996-08-02	FC Copenhagen	D 1-1	1722	1704	43.92%	32.34%	23.73%	-0.7	1
1996-08-02	@ Silkeborg	D 1-1	1704	1722	23.73%	32.34%	43.92%	+0.7	4
1996-08-04	Vejle BK	W 2-1	1758	1699	49.32%	30.59%	20.09%	+3.9	6
1996-08-04	@ Aalborg	L 1-2	1699	1758	20.09%	30.59%	49.32%	-3.9	3
1996-08-04	Herfolge	W 3-0	1779	1672	55.60%	27.77%	16.63%	+9.2	7
1996-08-04	@ Aarhus GF	L 0-3	1672	1779	16.63%	27.77%	55.60%	-9.2	3
1996-08-04	Viborg	W 1-0	1550	1639	28.93%	33.52%	37.55%	+6.6	3
1996-08-04	@ Hvidovre	L 0-1	1639	1550	37.55%	33.52%	28.93%	-6.6	0
1996-08-11	Aalborg	L 1-3	1599	1761	21.21%	31.24%	47.55%	-7.0	4
1996-08-11	@ AB Copenhagen	W 3-1	1761	1599	47.55%	31.24%	21.21%	+7.0	9
1996-08-11	Aarhus GF	W 2-0	1820	1788	45.68%	31.85%	22.47%	+8.6	12
1996-08-11	@ Brondby	L 0-2	1788	1820	22.47%	31.85%	45.68%	-8.6	7
1996-08-11	Odense	L 0-1	1662	1721	33.15%	33.75%	33.10%	-6.1	3
1996-08-11	@ Herfolge	W 1-0	1721	1662	33.10%	33.75%	33.15%	+6.1	6
1996-08-11	FC Copenhagen	L 0-2	1736	1704	45.73%	31.83%	22.44%	-14.4	3
1996-08-11	@ Lyngby	W 2-0	1704	1736	22.44%	31.83%	45.73%	+14.4	7
1996-08-11	Hvidovre	D 2-2	1695	1557	59.39%	25.74%	14.86%	-1.2	4
1996-08-11	@ Vejle BK	D 2-2	1557	1695	14.86%	25.74%	59.39%	+1.2	4
1996-08-11	Silkeborg	W 3-1	1633	1721	29.05%	33.53%	37.42%	+10.8	3
1996-08-11	@ Viborg	L 1-3	1721	1633	37.42%	33.53%	29.05%	-10.8	1
1996-08-16	Lyngby	L 3-4	1780	1722	49.29%	30.60%	20.11%	-7.0	7
1996-08-16	@ Aarhus GF	W 4-3	1722	1780	20.11%	30.60%	49.29%	+7.0	6
1996-08-16	Brondby	L 1-2	1727	1828	27.45%	33.30%	39.26%	-5.0	6
1996-08-16	@ Odense	W 2-1	1828	1727	39.26%	33.30%	27.45%	+5.0	15
1996-08-16	Vejle BK	W 2-0	1710	1694	43.69%	32.40%	23.91%	+9.0	4
1996-08-16	@ Silkeborg	L 0-2	1694	1710	23.91%	32.40%	43.69%	-9.0	4
1996-08-18	Herfolge	W 4-0	1768	1656	56.17%	27.48%	16.35%	+11.8	12
1996-08-18	@ Aalborg	L 0-4	1656	1768	16.35%	27.48%	56.17%	-11.9	3
1996-08-18	Viborg	D 1-1	1719	1644	51.48%	29.71%	18.81%	-1.2	8
1996-08-18	@ FC Copenhagen	D 1-1	1644	1719	18.81%	29.71%	51.48%	+1.2	4
1996-08-18	AB Copenhagen	D 0-0	1558	1592	36.55%	33.61%	29.83%	-0.2	5
1996-08-18	@ Hvidovre	D 0-0	1592	1558	29.83%	33.61%	36.55%	+0.2	5
1996-08-25	FC Copenhagen	W 3-1	1773	1718	48.89%	30.76%	20.36%	+6.8	10
1996-08-25	@ Aarhus GF	L 1-3	1718	1773	20.36%	30.76%	48.89%	-6.8	8
1996-08-25	Silkeborg	L 2-3	1593	1720	24.58%	32.62%	42.79%	-4.4	5
1996-08-25	@ AB Copenhagen	W 3-2	1720	1593	42.79%	32.62%	24.58%	+4.4	7
1996-08-25	Aalborg	W 2-0	1833	1780	48.57%	30.87%	20.55%	+7.9	18
1996-08-25	@ Brondby	L 0-2	1780	1833	20.55%	30.87%	48.57%	-7.9	12
1996-08-25	Hvidovre	W 1-0	1644	1558	52.98%	29.04%	17.98%	+3.7	6
1996-08-25	@ Herfolge	L 0-1	1558	1644	17.98%	29.04%	52.98%	-3.7	5
1996-08-25	Odense	W 2-1	1729	1722	42.37%	32.72%	24.91%	+4.7	9
1996-08-25	@ Lyngby	L 1-2	1722	1729	24.91%	32.72%	42.37%	-4.7	6
1996-08-25	Viborg	D 1-1	1685	1645	46.89%	31.46%	21.65%	-0.9	5
1996-08-25	@ Vejle BK	D 1-1	1645	1685	21.65%	31.46%	46.89%	+0.9	5
1996-09-01	Hvidovre	D 1-1	1724	1554	63.13%	23.57%	13.30%	-1.8	8
1996-09-01	@ Silkeborg	D 1-1	1554	1724	13.30%	23.57%	63.13%	+1.8	6
1996-09-06	Lyngby	W 2-0	1772	1733	46.76%	31.51%	21.74%	+8.3	15
1996-09-06	@ Aalborg	L 0-2	1733	1772	21.74%	31.51%	46.76%	-8.3	9
1996-09-06	Hvidovre	D 1-1	1841	1556	75.47%	15.75%	8.78%	-2.4	19
1996-09-06	@ Brondby	D 1-1	1556	1841	8.78%	15.75%	75.47%	+2.4	7
1996-09-06	Aarhus GF	W 1-0	1717	1780	32.53%	33.75%	33.72%	+6.2	9
1996-09-06	@ Odense	L 0-1	1780	1717	33.72%	33.75%	32.53%	-6.2	10
1996-09-06	Herfolge	L 0-2	1722	1648	51.33%	29.77%	18.90%	-15.6	8
1996-09-06	@ Silkeborg	W 2-0	1648	1722	18.90%	29.77%	51.33%	+15.6	9
1996-09-08	Vejle BK	D 0-0	1711	1684	45.08%	32.02%	22.89%	-0.8	9
1996-09-08	@ FC Copenhagen	D 0-0	1684	1711	22.89%	32.02%	45.08%	+0.9	6
1996-09-08	AB Copenhagen	D 1-1	1646	1588	49.17%	30.65%	20.18%	-1.0	6
1996-09-08	@ Viborg	D 1-1	1588	1646	20.18%	30.65%	49.17%	+1.0	6
1996-09-15	Aalborg	W 6-1	1774	1781	40.40%	33.11%	26.48%	+19.0	13
1996-09-15	@ Aarhus GF	L 1-6	1781	1774	26.48%	33.11%	40.40%	-19.0	15
1996-09-15	Vejle BK	L 0-3	1589	1685	28.15%	33.41%	38.44%	-14.9	6
1996-09-15	@ AB Copenhagen	W 3-0	1685	1589	38.44%	33.41%	28.15%	+14.9	9
1996-09-15	Silkeborg	W 2-1	1839	1706	58.64%	26.16%	15.20%	+2.9	22
1996-09-15	@ Brondby	L 1-2	1706	1839	15.20%	26.16%	58.64%	-2.9	8
1996-09-15	Viborg	L 0-1	1664	1645	44.05%	32.31%	23.64%	-7.4	9
1996-09-15	@ Herfolge	W 1-0	1645	1664	23.64%	32.31%	44.05%	+7.4	9
1996-09-15	Hvidovre	W 1-0	1725	1558	62.76%	23.79%	13.45%	+2.6	12
1996-09-15	@ Lyngby	L 0-1	1558	1725	13.45%	23.79%	62.76%	-2.6	7
1996-09-15	FC Copenhagen	D 3-3	1723	1710	43.24%	32.52%	24.25%	-0.4	10
1996-09-15	@ Odense	D 3-3	1710	1723	24.25%	32.52%	43.24%	+0.4	10
1996-09-20	Odense	W 2-1	1762	1723	46.74%	31.51%	21.75%	+4.2	18
1996-09-20	@ Aalborg	L 1-2	1723	1762	21.75%	31.51%	46.74%	-4.2	10
1996-09-20	Lyngby	D 1-1	1704	1728	38.05%	33.46%	28.49%	-0.3	9
1996-09-20	@ Silkeborg	D 1-1	1728	1704	28.49%	33.46%	38.05%	+0.3	13
1996-09-20	Brondby	L 0-1	1652	1842	18.99%	29.84%	51.16%	-3.9	9
1996-09-20	@ Viborg	W 1-0	1842	1652	51.16%	29.84%	18.99%	+3.9	25
1996-09-22	AB Copenhagen	D 1-1	1710	1574	59.09%	25.91%	15.00%	-1.6	11
1996-09-22	@ FC Copenhagen	D 1-1	1574	1710	15.00%	25.91%	59.09%	+1.6	7
1996-09-22	Aarhus GF	W 3-2	1556	1792	15.89%	26.97%	57.14%	+8.0	10
1996-09-22	@ Hvidovre	L 2-3	1792	1556	57.14%	26.97%	15.89%	-8.0	13
1996-09-22	Herfolge	D 0-0	1700	1656	47.33%	31.31%	21.36%	-1.0	10
1996-09-22	@ Vejle BK	D 0-0	1656	1700	21.36%	31.31%	47.33%	+1.0	10
1996-09-29	FC Copenhagen	W 2-0	1766	1709	49.14%	30.66%	20.20%	+7.8	21
1996-09-29	@ Aalborg	L 0-2	1709	1766	20.20%	30.66%	49.14%	-7.8	11
1996-09-29	Silkeborg	W 6-1	1784	1703	52.26%	29.37%	18.38%	+13.7	16
1996-09-29	@ Aarhus GF	L 1-6	1703	1784	18.38%	29.37%	52.26%	-13.7	9
1996-09-29	Vejle BK	L 1-2	1846	1699	60.38%	25.18%	14.44%	-8.8	25
1996-09-29	@ Brondby	W 2-1	1699	1846	14.44%	25.18%	60.38%	+8.8	13
1996-09-29	AB Copenhagen	W 2-1	1657	1576	52.28%	29.36%	18.36%	+3.5	13
1996-09-29	@ Herfolge	L 1-2	1576	1657	18.36%	29.36%	52.28%	-3.5	7
1996-09-29	Viborg	L 0-3	1728	1648	52.07%	29.45%	18.48%	-22.9	13
1996-09-29	@ Lyngby	W 3-0	1648	1728	18.48%	29.45%	52.07%	+22.9	12
1996-09-29	Hvidovre	W 2-1	1719	1564	61.38%	24.60%	14.02%	+2.6	13
1996-09-29	@ Odense	L 1-2	1564	1719	14.02%	24.60%	61.38%	-2.6	10
1996-10-02	Silkeborg	D 1-1	1774	1690	52.65%	29.19%	18.16%	-1.2	22
1996-10-02	@ Aalborg	D 1-1	1690	1774	18.16%	29.19%	52.65%	+1.2	10
1996-10-02	Herfolge	L 0-1	1701	1661	46.88%	31.46%	21.65%	-7.8	11
1996-10-02	@ FC Copenhagen	W 1-0	1661	1701	21.65%	31.46%	46.88%	+7.8	16
1996-10-04	Brondby	D 1-1	1572	1837	14.40%	25.13%	60.46%	+1.7	8
1996-10-04	@ AB Copenhagen	D 1-1	1837	1572	60.46%	25.13%	14.40%	-1.7	26
1996-10-04	Aalborg	L 1-2	1561	1773	17.45%	28.57%	53.98%	-3.4	10
1996-10-04	@ Hvidovre	W 2-1	1773	1561	53.98%	28.57%	17.45%	+3.4	25
1996-10-04	Lyngby	D 2-2	1708	1705	41.78%	32.85%	25.37%	-0.4	14
1996-10-04	@ Vejle BK	D 2-2	1705	1708	25.37%	32.85%	41.78%	+0.4	14
1996-10-04	Aarhus GF	L 2-5	1671	1798	24.56%	32.62%	42.82%	-9.8	12
1996-10-04	@ Viborg	W 5-2	1798	1671	42.82%	32.62%	24.56%	+9.8	19
1996-10-06	Odense	D 2-2	1691	1721	37.13%	33.56%	29.31%	-0.2	11
1996-10-06	@ Silkeborg	D 2-2	1721	1691	29.31%	33.56%	37.13%	+0.2	14
1996-10-11	Odense	L 1-2	1835	1721	56.35%	27.39%	16.26%	-8.4	26
1996-10-11	@ Brondby	W 2-1	1721	1835	16.26%	27.39%	56.35%	+8.4	17
1996-10-13	Aalborg	W 4-2	1669	1776	26.76%	33.17%	40.07%	+10.1	19
1996-10-13	@ Herfolge	L 2-4	1776	1669	40.07%	33.17%	26.76%	-10.1	25
1996-10-13	Aarhus GF	W 3-1	1705	1808	27.30%	33.27%	39.42%	+11.2	17
1996-10-13	@ Lyngby	L 1-3	1808	1705	39.42%	33.27%	27.30%	-11.2	19
1996-10-13	AB Copenhagen	D 3-3	1691	1574	56.70%	27.20%	16.10%	-0.9	12
1996-10-13	@ Silkeborg	D 3-3	1574	1691	16.10%	27.20%	56.70%	+0.9	9
1996-10-13	FC Copenhagen	W 3-0	1707	1693	43.34%	32.49%	24.17%	+13.2	17
1996-10-13	@ Vejle BK	L 0-3	1693	1707	24.17%	32.49%	43.34%	-13.2	11
1996-10-13	Hvidovre	D 1-1	1661	1558	55.11%	28.02%	16.87%	-1.4	13
1996-10-13	@ Viborg	D 1-1	1558	1661	16.87%	28.02%	55.11%	+1.4	11
1996-10-20	Vejle BK	W 2-0	1766	1720	47.58%	31.23%	21.19%	+8.1	28
1996-10-20	@ Aalborg	L 0-2	1720	1766	21.19%	31.23%	47.58%	-8.1	17
1996-10-20	Viborg	W 5-0	1797	1660	59.19%	25.85%	14.95%	+13.2	22
1996-10-20	@ Aarhus GF	L 0-5	1660	1797	14.95%	25.85%	59.19%	-13.2	13
1996-10-20	Brondby	L 1-2	1680	1827	22.60%	31.90%	45.50%	-4.3	11
1996-10-20	@ FC Copenhagen	W 2-1	1827	1680	45.50%	31.90%	22.60%	+4.3	29
1996-10-20	Herfolge	L 0-1	1559	1679	25.34%	32.84%	41.82%	-5.0	11
1996-10-20	@ Hvidovre	W 1-0	1679	1559	41.82%	32.84%	25.34%	+5.0	22
1996-10-20	AB Copenhagen	W 3-2	1717	1575	59.76%	25.54%	14.71%	+2.6	20
1996-10-20	@ Lyngby	L 2-3	1575	1717	14.71%	25.54%	59.76%	-2.6	9
1996-10-20	Silkeborg	W 6-0	1730	1690	46.88%	31.47%	21.65%	+23.0	20
1996-10-20	@ Odense	L 0-6	1690	1730	21.65%	31.47%	46.88%	-23.0	12
1996-10-25	Aalborg	D 2-2	1831	1774	49.13%	30.66%	20.21%	-0.8	30
1996-10-25	@ Brondby	D 2-2	1774	1831	20.21%	30.66%	49.13%	+0.8	29
1996-10-27	Odense	D 2-2	1572	1753	19.69%	30.33%	49.97%	+0.8	10
1996-10-27	@ AB Copenhagen	D 2-2	1753	1572	49.97%	30.33%	19.69%	-0.8	21
1996-10-27	Aarhus GF	L 0-1	1684	1810	24.66%	32.65%	42.70%	-4.9	22
1996-10-27	@ Herfolge	W 1-0	1810	1684	42.70%	32.65%	24.66%	+4.9	25
1996-10-27	FC Copenhagen	D 1-1	1667	1676	40.15%	33.16%	26.70%	-0.4	13
1996-10-27	@ Silkeborg	D 1-1	1676	1667	26.70%	33.16%	40.15%	+0.4	12
1996-10-27	Hvidovre	D 3-3	1712	1554	61.76%	24.38%	13.86%	-1.1	18
1996-10-27	@ Vejle BK	D 3-3	1554	1712	13.86%	24.38%	61.76%	+1.1	12
1996-10-27	Lyngby	D 1-1	1647	1719	31.18%	33.70%	35.12%	+0.1	14
1996-10-27	@ Viborg	D 1-1	1719	1647	35.12%	33.70%	31.18%	-0.1	21
1996-11-03	Silkeborg	D 0-0	1775	1666	55.71%	27.72%	16.57%	-1.6	30
1996-11-03	@ Aalborg	D 0-0	1666	1775	16.57%	27.72%	55.71%	+1.6	14
1996-11-03	Vejle BK	W 2-1	1815	1711	55.11%	28.02%	16.87%	+3.2	28
1996-11-03	@ Aarhus GF	L 1-2	1711	1815	16.87%	28.02%	55.11%	-3.2	18
1996-11-03	AB Copenhagen	W 2-0	1676	1573	55.02%	28.06%	16.92%	+6.5	15
1996-11-03	@ FC Copenhagen	L 0-2	1573	1676	16.92%	28.06%	55.02%	-6.5	10
1996-11-03	Brondby	L 2-3	1555	1830	13.86%	24.38%	61.77%	-2.4	12
1996-11-03	@ Hvidovre	W 3-2	1830	1555	61.77%	24.38%	13.86%	+2.4	33
1996-11-03	Odense	L 1-4	1719	1752	36.77%	33.59%	29.64%	-15.1	21
1996-11-03	@ Lyngby	W 4-1	1752	1719	29.64%	33.59%	36.77%	+15.1	24
1996-11-03	Herfolge	W 2-0	1647	1679	36.92%	33.58%	29.50%	+10.6	17
1996-11-03	@ Viborg	L 0-2	1679	1647	29.50%	33.58%	36.92%	-10.6	22
1996-11-06	Aalborg	W 3-1	1567	1773	17.80%	28.88%	53.32%	+13.9	13
1996-11-06	@ AB Copenhagen	L 1-3	1773	1567	53.32%	28.88%	17.80%	-13.9	30
1996-11-06	Aarhus GF	W 2-1	1833	1818	43.43%	32.47%	24.10%	+4.5	36
1996-11-06	@ Brondby	L 1-2	1818	1833	24.10%	32.47%	43.43%	-4.5	28
1996-11-06	Lyngby	L 0-3	1668	1704	36.39%	33.62%	29.99%	-17.7	22
1996-11-06	@ Herfolge	W 3-0	1704	1668	29.99%	33.62%	36.39%	+17.7	24
1996-11-06	FC Copenhagen	W 4-1	1767	1683	52.68%	29.18%	18.15%	+8.6	27
1996-11-06	@ Odense	L 1-4	1683	1767	18.15%	29.18%	52.68%	-8.6	15
1996-11-06	Hvidovre	W 3-0	1668	1553	56.54%	27.29%	16.17%	+9.0	17
1996-11-06	@ Silkeborg	L 0-3	1553	1668	16.17%	27.29%	56.54%	-9.0	12
1996-11-06	Viborg	D 2-2	1708	1657	48.26%	30.99%	20.76%	-0.7	19
1996-11-06	@ Vejle BK	D 2-2	1657	1708	20.76%	30.99%	48.26%	+0.7	18
1996-11-15	Brondby	D 1-1	1658	1837	19.80%	30.41%	49.79%	+1.0	19
1996-11-15	@ Viborg	D 1-1	1837	1658	49.79%	30.41%	19.80%	-1.0	37
1996-11-17	Odense	D 1-1	1759	1776	39.11%	33.32%	27.57%	-0.4	31
1996-11-17	@ Aalborg	D 1-1	1776	1759	27.57%	33.32%	39.11%	+0.4	28
1996-11-17	Silkeborg	D 2-2	1814	1677	59.19%	25.85%	14.95%	-1.2	29
1996-11-17	@ Aarhus GF	D 2-2	1677	1814	14.95%	25.85%	59.19%	+1.2	18
1996-11-17	Vejle BK	W 3-0	1651	1707	33.37%	33.75%	32.87%	+16.6	25
1996-11-17	@ Herfolge	L 0-3	1707	1651	32.87%	33.75%	33.37%	-16.6	19
1996-11-17	AB Copenhagen	D 1-1	1544	1581	36.20%	33.64%	30.16%	-0.2	13
1996-11-17	@ Hvidovre	D 1-1	1581	1544	30.16%	33.64%	36.20%	+0.2	14
1996-11-17	FC Copenhagen	W 2-0	1722	1674	47.88%	31.12%	21.00%	+8.1	27
1996-11-17	@ Lyngby	L 0-2	1674	1722	21.00%	31.12%	47.88%	-8.1	15
1996-11-24	Aarhus GF	D 1-1	1581	1812	16.20%	27.32%	56.47%	+1.4	15
1996-11-24	@ AB Copenhagen	D 1-1	1812	1581	56.47%	27.32%	16.20%	-1.4	30
1996-11-24	Herfolge	L 1-3	1836	1667	63.03%	23.63%	13.34%	-15.6	37
1996-11-24	@ Brondby	W 3-1	1667	1836	13.34%	23.63%	63.03%	+15.6	28
1996-11-24	Aalborg	D 1-1	1666	1759	28.50%	33.46%	38.03%	+0.3	16
1996-11-24	@ FC Copenhagen	D 1-1	1759	1666	38.03%	33.46%	28.50%	-0.3	32
1996-11-24	Hvidovre	L 0-2	1776	1543	70.13%	19.20%	10.67%	-19.3	28
1996-11-24	@ Odense	W 2-0	1543	1776	10.67%	19.20%	70.13%	+19.3	16
1996-11-24	Viborg	D 0-0	1678	1659	43.98%	32.33%	23.69%	-0.8	19
1996-11-24	@ Silkeborg	D 0-0	1659	1678	23.69%	32.33%	43.98%	+0.8	20
1996-11-24	Lyngby	W 4-1	1691	1730	35.90%	33.66%	30.44%	+13.3	22
1996-11-24	@ Vejle BK	L 1-4	1730	1691	30.44%	33.66%	35.90%	-13.3	27
1997-03-14	Brondby	W 3-0	1704	1821	25.69%	32.93%	41.38%	+19.4	25
1997-03-14	@ Vejle BK	L 0-3	1821	1704	41.38%	32.93%	25.69%	-19.4	37
1997-03-16	Odense	D 2-2	1811	1757	48.75%	30.81%	20.45%	-0.7	31
1997-03-16	@ Aarhus GF	D 2-2	1757	1811	20.45%	30.81%	48.75%	+0.7	29
1997-03-16	Silkeborg	D 1-1	1683	1677	42.19%	32.76%	25.05%	-0.6	29
1997-03-16	@ Herfolge	D 1-1	1677	1683	25.05%	32.76%	42.19%	+0.6	20
1997-03-16	FC Copenhagen	L 0-2	1563	1666	27.19%	33.25%	39.55%	-10.0	16
1997-03-16	@ Hvidovre	W 2-0	1666	1563	39.55%	33.25%	27.19%	+10.0	19
1997-03-16	Aalborg	L 0-2	1716	1758	35.48%	33.68%	30.83%	-12.0	27
1997-03-16	@ Lyngby	W 2-0	1758	1716	30.83%	33.68%	35.48%	+12.0	35
1997-03-16	AB Copenhagen	L 0-1	1660	1582	51.82%	29.56%	18.62%	-8.3	20
1997-03-16	@ Viborg	W 1-0	1582	1660	18.62%	29.56%	51.82%	+8.3	18
1997-03-21	Aarhus GF	D 1-1	1676	1810	23.86%	32.39%	43.75%	+0.7	20
1997-03-21	@ FC Copenhagen	D 1-1	1810	1676	43.75%	32.39%	23.86%	-0.7	32
1997-03-23	Hvidovre	L 1-2	1770	1553	68.53%	20.23%	11.25%	-9.5	35
1997-03-23	@ Aalborg	W 2-1	1553	1770	11.25%	20.23%	68.53%	+9.5	19
1997-03-23	Herfolge	D 2-2	1591	1682	28.66%	33.48%	37.86%	+0.2	19
1997-03-23	@ AB Copenhagen	D 2-2	1682	1591	37.86%	33.48%	28.66%	-0.2	30
1997-03-23	Lyngby	W 2-0	1801	1704	54.22%	28.45%	17.32%	+6.7	40
1997-03-23	@ Brondby	L 0-2	1704	1801	17.32%	28.45%	54.22%	-6.7	27
1997-04-01	Vejle BK	D 1-1	1678	1723	34.96%	33.71%	31.33%	-0.1	21
1997-04-01	@ Silkeborg	D 1-1	1723	1678	31.33%	33.71%	34.96%	+0.1	26
1997-04-02	Viborg	W 2-1	1757	1652	55.37%	27.89%	16.74%	+3.2	32
1997-04-02	@ Odense	L 1-2	1652	1757	16.74%	27.89%	55.37%	-3.2	20
1997-04-04	Silkeborg	D 2-2	1808	1678	58.39%	26.30%	15.31%	-1.2	41
1997-04-04	@ Brondby	D 2-2	1678	1808	15.31%	26.30%	58.39%	+1.2	22
1997-04-06	Aalborg	L 0-1	1809	1761	48.00%	31.08%	20.92%	-7.9	32
1997-04-06	@ Aarhus GF	W 1-0	1761	1809	20.92%	31.08%	48.00%	+7.9	38
1997-04-06	Odense	D 1-1	1682	1761	30.32%	33.65%	36.03%	+0.2	31
1997-04-06	@ Herfolge	D 1-1	1761	1682	36.03%	33.65%	30.32%	-0.2	33
1997-04-06	FC Copenhagen	W 1-0	1648	1677	37.41%	33.53%	29.06%	+5.6	23
1997-04-06	@ Viborg	L 0-1	1677	1648	29.06%	33.53%	37.41%	-5.6	20
1997-04-08	Hvidovre	W 2-1	1698	1562	59.03%	25.94%	15.02%	+2.8	30
1997-04-08	@ Lyngby	L 1-2	1562	1698	15.02%	25.94%	59.03%	-2.8	19
1997-04-08	AB Copenhagen	W 1-0	1723	1591	58.68%	26.14%	15.18%	+3.0	29
1997-04-08	@ Vejle BK	L 0-1	1591	1723	15.18%	26.14%	58.68%	-3.0	19
1997-04-11	Vejle BK	L 0-2	1760	1726	46.06%	31.73%	22.21%	-14.5	33
1997-04-11	@ Odense	W 2-0	1726	1760	22.21%	31.73%	46.06%	+14.5	32
1997-04-13	Viborg	W 3-1	1769	1654	56.50%	27.31%	16.19%	+5.4	41
1997-04-13	@ Aalborg	L 1-3	1654	1769	16.19%	27.31%	56.50%	-5.3	23
1997-04-13	Brondby	D 2-2	1588	1807	16.98%	28.13%	54.89%	+1.0	20
1997-04-13	@ AB Copenhagen	D 2-2	1807	1588	54.89%	28.13%	16.98%	-1.0	42
1997-04-13	Herfolge	D 1-1	1671	1682	39.92%	33.20%	26.89%	-0.4	21
1997-04-13	@ FC Copenhagen	D 1-1	1682	1671	26.89%	33.20%	39.92%	+0.4	32
1997-04-13	Aarhus GF	D 2-2	1559	1802	15.59%	26.63%	57.78%	+1.1	20
1997-04-13	@ Hvidovre	D 2-2	1802	1559	57.78%	26.63%	15.59%	-1.1	33
1997-04-13	Lyngby	W 3-1	1679	1701	38.34%	33.42%	28.23%	+8.9	25
1997-04-13	@ Silkeborg	L 1-3	1701	1679	28.23%	33.42%	38.34%	-8.9	30
1997-04-18	Lyngby	D 0-0	1774	1692	52.42%	29.29%	18.29%	-1.4	42
1997-04-18	@ Aalborg	D 0-0	1692	1774	18.29%	29.29%	52.42%	+1.3	31
1997-04-20	Viborg	W 3-1	1589	1649	32.92%	33.75%	33.33%	+10.0	23
1997-04-20	@ AB Copenhagen	L 1-3	1649	1589	33.33%	33.75%	32.92%	-10.0	23
1997-04-20	Vejle BK	W 2-0	1806	1741	50.12%	30.27%	19.60%	+7.6	45
1997-04-20	@ Brondby	L 0-2	1741	1806	19.60%	30.27%	50.12%	-7.6	32
1997-04-20	Hvidovre	W 1-0	1671	1561	55.95%	27.60%	16.46%	+3.3	24
1997-04-20	@ FC Copenhagen	L 0-1	1561	1671	16.46%	27.60%	55.95%	-3.3	20
1997-04-20	Aarhus GF	D 1-1	1746	1800	33.70%	33.75%	32.55%	-0.0	34
1997-04-20	@ Odense	D 1-1	1800	1746	32.55%	33.75%	33.70%	+0.0	34
1997-04-20	Herfolge	W 1-0	1688	1683	42.12%	32.78%	25.11%	+5.0	28
1997-04-20	@ Silkeborg	L 0-1	1683	1688	25.11%	32.78%	42.12%	-5.0	32
1997-04-25	FC Copenhagen	W 2-1	1800	1674	57.90%	26.57%	15.54%	+2.9	37
1997-04-25	@ Aarhus GF	L 1-2	1674	1800	15.54%	26.57%	57.90%	-3.0	24
1997-04-25	AB Copenhagen	W 4-1	1678	1599	51.95%	29.50%	18.55%	+8.8	35
1997-04-25	@ Herfolge	L 1-4	1599	1678	18.55%	29.50%	51.95%	-8.8	23
1997-04-25	Aalborg	D 1-1	1557	1773	17.19%	28.33%	54.49%	+1.3	21
1997-04-25	@ Hvidovre	D 1-1	1773	1557	54.49%	28.33%	17.19%	-1.3	43
1997-04-25	Brondby	W 2-0	1693	1813	25.31%	32.83%	41.86%	+13.5	34
1997-04-25	@ Lyngby	L 0-2	1813	1693	41.86%	32.83%	25.31%	-13.5	45
1997-04-25	Odense	L 3-5	1639	1746	26.75%	33.17%	40.08%	-7.2	23
1997-04-25	@ Viborg	W 5-3	1746	1639	40.08%	33.17%	26.75%	+7.2	37
1997-04-27	Silkeborg	W 2-1	1733	1693	46.97%	31.44%	21.59%	+4.1	35
1997-04-27	@ Vejle BK	L 1-2	1693	1733	21.59%	31.44%	46.97%	-4.1	28
1997-05-02	Aarhus GF	D 1-1	1772	1803	36.93%	33.58%	29.50%	-0.2	44
1997-05-02	@ Aalborg	D 1-1	1803	1772	29.50%	33.58%	36.93%	+0.2	38
1997-05-04	Vejle BK	L 2-3	1590	1738	22.52%	31.87%	45.61%	-4.1	23
1997-05-04	@ AB Copenhagen	W 3-2	1738	1590	45.61%	31.87%	22.52%	+4.1	38
1997-05-04	Viborg	W 2-1	1671	1631	46.85%	31.48%	21.67%	+4.2	27
1997-05-04	@ FC Copenhagen	L 1-2	1631	1671	21.67%	31.48%	46.85%	-4.2	23
1997-05-04	Lyngby	D 2-2	1559	1707	22.48%	31.85%	45.67%	+0.6	22
1997-05-04	@ Hvidovre	D 2-2	1707	1559	45.67%	31.85%	22.48%	-0.6	35
1997-05-04	Herfolge	L 2-3	1753	1686	50.41%	30.16%	19.43%	-7.3	37
1997-05-04	@ Odense	W 3-2	1686	1753	19.43%	30.16%	50.41%	+7.3	38
1997-05-04	Brondby	D 2-2	1688	1800	26.30%	33.07%	40.63%	+0.3	29
1997-05-04	@ Silkeborg	D 2-2	1800	1688	40.63%	33.07%	26.30%	-0.4	46
1997-05-09	Aalborg	W 1-0	1627	1771	22.86%	32.01%	45.13%	+7.5	26
1997-05-09	@ Viborg	L 0-1	1771	1627	45.13%	32.01%	22.86%	-7.5	44
1997-05-11	Hvidovre	W 3-2	1804	1559	71.38%	18.40%	10.22%	+1.6	41
1997-05-11	@ Aarhus GF	L 2-3	1559	1804	10.22%	18.40%	71.38%	-1.6	22
1997-05-11	AB Copenhagen	W 3-2	1799	1586	68.05%	20.53%	11.42%	+1.9	49
1997-05-11	@ Brondby	L 2-3	1586	1799	11.42%	20.53%	68.05%	-1.9	23
1997-05-11	FC Copenhagen	W 4-0	1694	1676	43.91%	32.35%	23.74%	+17.0	41
1997-05-11	@ Herfolge	L 0-4	1676	1694	23.74%	32.35%	43.91%	-17.0	27
1997-05-11	Silkeborg	L 1-4	1706	1689	43.78%	32.38%	23.84%	-17.0	35
1997-05-11	@ Lyngby	W 4-1	1689	1706	23.84%	32.38%	43.78%	+17.0	32
1997-05-11	Odense	W 4-1	1742	1746	40.81%	33.04%	26.15%	+11.9	41
1997-05-11	@ Vejle BK	L 1-4	1746	1742	26.15%	33.04%	40.81%	-11.9	37
1997-05-15	Herfolge	L 0-1	1764	1711	48.60%	30.86%	20.54%	-8.0	44
1997-05-15	@ Aalborg	W 1-0	1711	1764	20.54%	30.86%	48.60%	+8.0	44
1997-05-15	Lyngby	W 4-2	1805	1689	56.69%	27.21%	16.10%	+4.8	44
1997-05-15	@ Aarhus GF	L 2-4	1689	1805	16.10%	27.21%	56.69%	-4.8	35
1997-05-15	Silkeborg	W 4-3	1584	1706	25.12%	32.78%	42.10%	+6.3	26
1997-05-15	@ AB Copenhagen	L 3-4	1706	1584	42.10%	32.78%	25.12%	-6.3	32
1997-05-15	Vejle BK	D 1-1	1658	1753	28.23%	33.42%	38.34%	+0.3	28
1997-05-15	@ FC Copenhagen	D 1-1	1753	1658	38.34%	33.42%	28.23%	-0.3	42
1997-05-15	Viborg	D 0-0	1558	1635	30.50%	33.66%	35.83%	+0.2	23
1997-05-15	@ Hvidovre	D 0-0	1635	1558	35.83%	33.66%	30.50%	-0.2	27
1997-05-15	Brondby	L 0-3	1734	1801	31.89%	33.73%	34.38%	-16.2	37
1997-05-15	@ Odense	W 3-0	1801	1734	34.38%	33.73%	31.89%	+16.2	52
1997-05-19	Lyngby	D 2-2	1590	1684	28.37%	33.44%	38.19%	+0.2	27
1997-05-19	@ AB Copenhagen	D 2-2	1684	1590	38.19%	33.44%	28.37%	-0.2	36
1997-05-19	FC Copenhagen	W 2-0	1817	1659	61.80%	24.36%	13.84%	+5.1	55
1997-05-19	@ Brondby	L 0-2	1659	1817	13.84%	24.36%	61.80%	-5.1	28
1997-05-19	Hvidovre	W 4-3	1719	1558	62.07%	24.20%	13.73%	+2.3	47
1997-05-19	@ Herfolge	L 3-4	1558	1719	13.73%	24.20%	62.07%	-2.3	23
1997-05-19	Odense	W 2-1	1700	1718	38.87%	33.35%	27.78%	+5.1	35
1997-05-19	@ Silkeborg	L 1-2	1718	1700	27.78%	33.35%	38.87%	-5.1	37
1997-05-19	Aalborg	W 2-0	1753	1756	41.05%	33.00%	25.96%	+9.6	45
1997-05-19	@ Vejle BK	L 0-2	1756	1753	25.96%	33.00%	41.05%	-9.6	44
1997-05-19	Aarhus GF	L 0-4	1635	1810	20.09%	30.59%	49.31%	-14.7	27
1997-05-19	@ Viborg	W 4-0	1810	1635	49.31%	30.59%	20.09%	+14.7	47
1997-05-23	Brondby	D 1-1	1746	1823	30.62%	33.67%	35.70%	+0.2	45
1997-05-23	@ Aalborg	D 1-1	1823	1746	35.70%	33.67%	30.62%	-0.2	56
1997-05-25	Herfolge	D 2-2	1825	1721	55.12%	28.01%	16.87%	-1.0	48
1997-05-25	@ Aarhus GF	D 2-2	1721	1825	16.87%	28.01%	55.12%	+1.0	48
1997-05-25	Silkeborg	W 3-0	1654	1705	34.20%	33.74%	32.06%	+16.3	31
1997-05-25	@ FC Copenhagen	L 0-3	1705	1654	32.06%	33.74%	34.20%	-16.3	35
1997-05-25	Vejle BK	L 0-1	1555	1763	17.73%	28.82%	53.44%	-3.6	23
1997-05-25	@ Hvidovre	W 1-0	1763	1555	53.44%	28.82%	17.73%	+3.6	48
1997-05-25	Viborg	D 1-1	1684	1620	50.03%	30.31%	19.66%	-1.1	37
1997-05-25	@ Lyngby	D 1-1	1620	1684	19.66%	30.31%	50.03%	+1.1	28
1997-05-25	AB Copenhagen	L 1-2	1713	1591	57.40%	26.83%	15.76%	-8.5	37
1997-05-25	@ Odense	W 2-1	1591	1713	15.76%	26.83%	57.40%	+8.5	30
1997-05-29	FC Copenhagen	L 0-1	1599	1670	31.36%	33.71%	34.92%	-5.9	30
1997-05-29	@ AB Copenhagen	W 1-0	1670	1599	34.92%	33.71%	31.36%	+5.9	34
1997-05-29	Hvidovre	W 3-1	1822	1552	74.03%	16.68%	9.28%	+2.6	59
1997-05-29	@ Brondby	L 1-3	1552	1822	9.28%	16.68%	74.03%	-2.6	23
1997-05-29	Viborg	W 1-0	1722	1621	54.77%	28.19%	17.04%	+3.5	51
1997-05-29	@ Herfolge	L 0-1	1621	1722	17.04%	28.19%	54.77%	-3.5	28
1997-05-29	Lyngby	W 4-3	1704	1683	44.35%	32.23%	23.42%	+4.1	40
1997-05-29	@ Odense	L 3-4	1683	1704	23.42%	32.23%	44.35%	-4.1	37
1997-05-29	Aalborg	D 1-1	1688	1746	33.20%	33.75%	33.05%	+0.0	36
1997-05-29	@ Silkeborg	D 1-1	1746	1688	33.05%	33.75%	33.20%	+0.0	46
1997-05-29	Aarhus GF	D 1-1	1766	1824	33.28%	33.75%	32.96%	-0.0	49
1997-05-29	@ Vejle BK	D 1-1	1824	1766	32.96%	33.75%	33.28%	+0.0	49
1997-06-01	AB Copenhagen	L 1-3	1746	1593	61.15%	24.74%	14.11%	-15.3	46
1997-06-01	@ Aalborg	W 3-1	1593	1746	14.11%	24.74%	61.15%	+15.3	33
1997-06-01	Brondby	L 2-3	1824	1825	41.24%	32.96%	25.80%	-6.3	49
1997-06-01	@ Aarhus GF	W 3-2	1825	1824	25.80%	32.96%	41.24%	+6.3	62
1997-06-01	Odense	W 1-0	1676	1708	36.84%	33.59%	29.57%	+5.6	37
1997-06-01	@ FC Copenhagen	L 0-1	1708	1676	29.57%	33.59%	36.84%	-5.6	40
1997-06-01	Silkeborg	L 0-1	1549	1688	23.33%	32.19%	44.48%	-4.7	23
1997-06-01	@ Hvidovre	W 1-0	1688	1549	44.48%	32.19%	23.33%	+4.7	39
1997-06-01	Herfolge	D 1-1	1679	1725	34.81%	33.72%	31.47%	-0.1	38
1997-06-01	@ Lyngby	D 1-1	1725	1679	31.47%	33.72%	34.81%	+0.1	52
1997-06-01	Vejle BK	D 1-1	1618	1766	22.40%	31.82%	45.78%	+0.8	29
1997-06-01	@ Viborg	D 1-1	1766	1618	45.78%	31.82%	22.40%	-0.8	50
1997-06-11	Hvidovre	W 7-1	1608	1544	50.03%	30.31%	19.66%	+17.4	36
1997-06-11	@ AB Copenhagen	L 1-7	1544	1608	19.66%	30.31%	50.03%	-17.4	23
1997-06-11	Viborg	W 4-0	1831	1618	68.00%	20.56%	11.44%	+7.5	65
1997-06-11	@ Brondby	L 0-4	1618	1831	11.44%	20.56%	68.00%	-7.5	29
1997-06-11	Lyngby	D 1-1	1681	1679	41.81%	32.84%	25.35%	-0.5	38
1997-06-11	@ FC Copenhagen	D 1-1	1679	1681	25.35%	32.84%	41.81%	+0.5	39
1997-06-11	Aalborg	D 1-1	1703	1731	37.45%	33.53%	29.03%	-0.3	41
1997-06-11	@ Odense	D 1-1	1731	1703	29.03%	33.53%	37.45%	+0.3	47
1997-06-11	Aarhus GF	W 4-3	1693	1817	24.85%	32.70%	42.44%	+6.3	42
1997-06-11	@ Silkeborg	L 3-4	1817	1693	42.44%	32.70%	24.85%	-6.3	49
1997-06-11	Herfolge	W 4-1	1766	1726	46.87%	31.47%	21.66%	+10.2	53
1997-06-11	@ Vejle BK	L 1-4	1726	1766	21.66%	31.47%	46.87%	-10.2	52
1997-06-15	FC Copenhagen	L 0-1	1731	1681	48.24%	30.99%	20.77%	-7.9	47
1997-06-15	@ Aalborg	W 1-0	1681	1731	20.77%	30.99%	48.24%	+7.9	41
1997-06-15	AB Copenhagen	W 2-1	1811	1626	64.90%	22.50%	12.61%	+2.3	52
1997-06-15	@ Aarhus GF	L 1-2	1626	1811	12.61%	22.50%	64.90%	-2.3	36
1997-06-15	Brondby	L 1-2	1715	1839	24.95%	32.73%	42.32%	-4.7	52
1997-06-15	@ Herfolge	W 2-1	1839	1715	42.32%	32.73%	24.95%	+4.7	68
1997-06-15	Odense	W 4-3	1527	1702	20.10%	30.59%	49.31%	+7.0	26
1997-06-15	@ Hvidovre	L 3-4	1702	1527	49.31%	30.59%	20.10%	-7.0	41
1997-06-15	Vejle BK	D 1-1	1679	1776	28.04%	33.40%	38.56%	+0.3	40
1997-06-15	@ Lyngby	D 1-1	1776	1679	38.56%	33.40%	28.04%	-0.3	54
1997-06-15	Silkeborg	L 0-2	1611	1699	29.04%	33.53%	37.43%	-10.5	29
1997-06-15	@ Viborg	W 2-0	1699	1611	37.43%	33.53%	29.04%	+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	10.67%	Hvidovre	1543	2	@ Odense	1776	0
2	1997-03-23	11.25%	Hvidovre	1553	2	@ Aalborg	1770	1
3	1996-11-24	13.34%	Herfolge	1667	3	@ Brondby	1836	1
4	1997-06-01	14.11%	AB Copenhagen	1593	3	@ Aalborg	1746	1
5	1996-08-02	14.18%	AB Copenhagen	1584	3	@ Odense	1736	1
6	1996-09-29	14.44%	Vejle BK	1699	2	@ Brondby	1846	1
7	1997-05-25	15.76%	AB Copenhagen	1591	2	@ Odense	1713	1
8	1996-09-22	15.89%	@ Hvidovre	1556	3	Aarhus GF	1792	2
9	1996-10-11	16.26%	Odense	1721	2	@ Brondby	1835	1
10	1996-11-06	17.80%	@ AB Copenhagen	1567	3	Aalborg	1773	1
11	1996-09-29	18.48%	Viborg	1648	3	@ Lyngby	1728	0
12	1997-03-16	18.62%	AB Copenhagen	1582	1	@ Viborg	1660	0
13	1996-09-06	18.90%	Herfolge	1648	2	@ Silkeborg	1722	0
14	1997-05-04	19.43%	Herfolge	1686	3	@ Odense	1753	2
15	1997-06-15	20.10%	@ Hvidovre	1527	4	Odense	1702	3
16	1996-08-16	20.11%	Lyngby	1722	4	@ Aarhus GF	1780	3
17	1997-05-15	20.54%	Herfolge	1711	1	@ Aalborg	1764	0
18	1997-06-15	20.77%	FC Copenhagen	1681	1	@ Aalborg	1731	0
19	1997-04-06	20.92%	Aalborg	1761	1	@ Aarhus GF	1809	0
20	1996-10-02	21.65%	Herfolge	1661	1	@ FC Copenhagen	1701	0
21	1997-04-11	22.21%	Vejle BK	1726	2	@ Odense	1760	0
22	1996-08-11	22.44%	FC Copenhagen	1704	2	@ Lyngby	1736	0
23	1997-05-09	22.86%	@ Viborg	1627	1	Aalborg	1771	0
24	1996-09-15	23.64%	Viborg	1645	1	@ Herfolge	1664	0
25	1997-05-11	23.84%	Silkeborg	1689	4	@ Lyngby	1706	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	1731	34.16%	@ Viborg	0	1666	32.11%	33.74%
2	1996-07-31	23.33	@ Vejle BK	4	1676	29.68%	Odense	0	1759	36.72%	33.60%
3	1996-10-20	23.05	@ Odense	6	1730	46.88%	Silkeborg	0	1690	21.65%	31.47%
4	1996-09-29	22.95	Viborg	3	1648	18.48%	@ Lyngby	0	1728	52.07%	29.45%
5	1997-03-14	19.42	@ Vejle BK	3	1704	25.69%	Brondby	0	1821	41.38%	32.93%
6	1996-11-24	19.31	Hvidovre	2	1543	10.67%	@ Odense	0	1776	70.13%	19.20%
7	1996-09-15	18.96	@ Aarhus GF	6	1774	40.40%	Aalborg	1	1781	26.48%	33.11%
8	1996-11-06	17.74	Lyngby	3	1704	29.99%	@ Herfolge	0	1668	36.39%	33.62%
9	1997-06-11	17.38	@ AB Copenhagen	7	1608	50.03%	Hvidovre	1	1544	19.66%	30.31%
10	1997-05-11	17.05	Silkeborg	4	1689	23.84%	@ Lyngby	1	1706	43.78%	32.38%
11	1997-05-11	17.04	@ Herfolge	4	1694	43.91%	FC Copenhagen	0	1676	23.74%	32.35%
12	1996-11-17	16.57	@ Herfolge	3	1651	33.37%	Vejle BK	0	1707	32.87%	33.75%
13	1997-05-25	16.30	@ FC Copenhagen	3	1654	34.20%	Silkeborg	0	1705	32.06%	33.74%
14	1997-05-15	16.23	Brondby	3	1801	34.38%	@ Odense	0	1734	31.89%	33.73%
15	1996-09-06	15.64	Herfolge	2	1648	18.90%	@ Silkeborg	0	1722	51.33%	29.77%
16	1996-11-24	15.64	Herfolge	3	1667	13.34%	@ Brondby	1	1836	63.03%	23.63%
17	1997-06-01	15.33	AB Copenhagen	3	1593	14.11%	@ Aalborg	1	1746	61.15%	24.74%
18	1996-08-02	15.30	AB Copenhagen	3	1584	14.18%	@ Odense	1	1736	60.99%	24.83%
19	1996-11-03	15.07	Odense	4	1752	29.64%	@ Lyngby	1	1719	36.77%	33.59%
20	1996-09-15	14.88	Vejle BK	3	1685	38.44%	@ AB Copenhagen	0	1589	28.15%	33.41%
21	1997-05-19	14.70	Aarhus GF	4	1810	49.31%	@ Viborg	0	1635	20.09%	30.59%
22	1997-04-11	14.45	Vejle BK	2	1726	22.21%	@ Odense	0	1760	46.06%	31.73%
23	1996-08-11	14.38	FC Copenhagen	2	1704	22.44%	@ Lyngby	0	1736	45.73%	31.83%
24	1996-08-02	14.17	Brondby	4	1805	32.68%	@ Lyngby	1	1750	33.57%	33.75%
25	1996-11-06	13.92	@ AB Copenhagen	3	1567	17.80%	Aalborg	1	1773	53.32%	28.88%