2000-01 Superliga Season

198 games

Final

Champion

FC Copenhagen

63 points · 2nd Title

Last Title: 1992-93

Relegated

Sonderjyske

11 pts

Herfolge · 30 pts

Biggest Overachiever

FC Copenhagen

12.22 points above expected

63 points · 50.78 expected points

Biggest Disappointment

Sonderjyske

14.27 points below expected

11 points · 25.27 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	FC Copenhagen Champion	33	17	12	4	63	55	27	+28	50.78	+12.22
2	Brondby	33	17	7	9	58	71	42	+29	58.35	-0.35
3	Silkeborg	33	15	11	7	56	49	36	+13	51.56	+4.44
4	Midtjylland	33	14	11	8	53	54	43	+11	45.65	+7.35
5	Aalborg	33	13	10	10	49	51	49	+2	48.24	+0.76
6	Viborg	33	13	7	13	46	52	42	+10	50.59	-4.59
7	Odense	33	13	7	13	46	49	45	+4	45.18	+0.82
8	Aarhus GF	33	13	5	15	44	54	58	-4	39.63	+4.37
9	Lyngby	33	12	8	13	44	40	53	-13	41.29	+2.71
10	AB Copenhagen	33	8	15	10	39	43	41	+2	46.03	-7.03
11	Herfolge Relegated	33	7	9	17	30	41	65	-24	36.10	-6.10
12	Sonderjyske Relegated	33	1	8	24	11	30	88	-58	25.27	-14.27

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	FC Copenhagen	63	50.78	+12.22
2	Midtjylland	53	45.65	+7.35
3	Silkeborg	56	51.56	+4.44
4	Aarhus GF	44	39.63	+4.37
5	Lyngby	44	41.29	+2.71

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Sonderjyske	11	25.27	-14.27
2	AB Copenhagen	39	46.03	-7.03
3	Herfolge	30	36.10	-6.10
4	Viborg	46	50.59	-4.59
5	Brondby	58	58.35	-0.35

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	Aarhus GF	3	Oct 22 – Nov 5	1 in 114
2	FC Copenhagen	4	Aug 27 – Sep 17	1 in 96
3	Viborg	5	Nov 5 – Mar 11	1 in 76
4	Silkeborg	5	Nov 19 – Apr 2	1 in 57
5	Lyngby	3	Aug 20 – Sep 6	1 in 46

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	AB Copenhagen	4	Aug 28 – Sep 18	1 in 144
2	Aarhus GF	5	Aug 20 – Sep 17	1 in 82
3	Sonderjyske	5	Jul 23 – Aug 20	1 in 42
4	Brondby	2	Nov 27 – Mar 11	1 in 28
5	Herfolge	3	Jul 26 – Aug 4	1 in 23

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	FC Copenhagen	18	Nov 12 – Jun 13	1 in 235
2	Midtjylland	10	Aug 21 – Oct 30	1 in 113
3	Silkeborg	10	Aug 20 – Oct 29	1 in 41
4	Odense	7	Apr 16 – May 20	1 in 25
5	AB Copenhagen	6	Apr 1 – Apr 29	1 in 16

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Lyngby	10	Mar 18 – May 17	1 in 73
2	Sonderjyske	16	Jul 23 – Nov 12	1 in 40
3	Herfolge	9	Sep 17 – Nov 19	1 in 20
4	AB Copenhagen	7	Oct 15 – Nov 26	1 in 19
5	Aarhus GF	8	Aug 20 – Oct 15	1 in 17

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
FC Copenhagen	1735	63	+48	13	8.9	+4.1
Brondby	1706	58	-12	7	8.2	-1.2
Silkeborg	1672	56	-17	6	9.1	-3.1
Midtjylland	1604	53	-5	5	6.8	-1.8
Aalborg	1616	49	-1	12	7.9	+4.1
Odense	1576	46	-21	7	7.1	-0.1
Viborg	1611	46	-37	3	7.3	-4.3
Aarhus GF	1618	44	+59	10	6.8	+3.2
Lyngby	1514	44	-18	4	5.0	-1.0
AB Copenhagen	1630	39	+45	11	6.4	+4.6
Herfolge	1489	30	-12	6	5.2	+0.8
Sonderjyske	1356	11	-29	1	3.3	-2.3

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	LYN	MID	ODE	SIL	SON	VIB
AB Copenhagen	—	0-2-1 3.82	2-1-0 4.46	0-1-2 2.90	0-2-1 3.56	1-1-1 5.26	1-0-2 4.50	0-2-1 4.04	1-1-1 3.97	1-1-1 3.74	1-2-0 5.84	1-2-0 3.51
Aalborg	1-2-0 4.30	—	2-0-1 4.98	0-1-2 2.87	0-2-1 3.80	2-1-0 4.84	1-1-1 4.65	1-0-2 4.51	1-1-1 4.22	0-1-2 4.03	2-1-0 5.81	3-0-0 3.85
Aarhus GF	0-1-2 3.66	1-0-2 3.17	—	2-0-1 2.44	1-0-2 3.03	1-1-1 4.27	2-0-1 3.71	3-0-0 3.49	2-0-1 3.43	0-1-2 2.92	1-2-0 5.78	0-0-3 2.95
Brondby	2-1-0 5.27	2-1-0 5.30	1-0-2 5.78	—	0-0-3 4.49	1-1-1 5.95	1-0-2 5.62	0-3-0 4.94	1-1-1 5.27	3-0-0 4.10	3-0-0 6.90	3-0-0 4.77
FC Copenhagen	1-2-0 4.57	1-2-0 4.33	2-0-1 5.13	3-0-0 3.64	—	2-1-0 5.37	0-2-1 5.34	1-1-1 4.63	3-0-0 4.91	0-3-0 4.10	3-0-0 6.01	1-1-1 4.03
Herfolge	1-1-1 2.90	0-1-2 3.30	1-1-1 3.85	1-1-1 2.29	0-1-2 2.81	—	0-1-2 3.77	0-0-3 3.53	0-1-2 3.09	1-1-1 2.83	3-0-0 4.93	0-1-2 3.11
Lyngby	2-0-1 3.64	1-1-1 3.49	1-0-2 4.42	2-0-1 2.59	1-2-0 2.85	2-1-0 4.35	—	0-2-1 3.69	0-1-2 3.88	0-0-3 3.33	2-1-0 5.66	1-0-2 3.64
Midtjylland	1-2-0 4.08	2-0-1 3.61	0-0-3 4.65	0-3-0 3.21	1-1-1 3.50	3-0-0 4.61	1-2-0 4.45	—	2-1-0 3.67	0-1-2 3.34	3-0-0 5.85	1-1-1 3.47
Odense	1-1-1 4.15	1-1-1 3.91	1-0-2 4.70	1-1-1 2.89	0-0-3 3.23	2-1-0 5.06	2-1-0 4.23	0-1-2 4.46	—	2-0-1 3.56	2-0-1 5.86	1-1-1 3.79
Silkeborg	1-1-1 4.40	2-1-0 4.10	2-1-0 5.25	0-0-3 4.03	0-3-0 4.02	1-1-1 5.37	3-0-0 4.80	2-1-0 4.79	1-0-2 4.57	—	1-2-0 6.08	2-1-0 4.08
Sonderjyske	0-2-1 2.39	0-1-2 2.42	0-2-1 2.45	0-0-3 1.51	0-0-3 2.26	0-0-3 3.21	0-1-2 2.55	0-0-3 2.38	1-0-2 2.37	0-2-1 2.20	—	0-0-3 2.14
Viborg	0-2-1 4.62	0-0-3 4.27	3-0-0 5.21	0-0-3 3.37	1-1-1 4.09	2-1-0 5.06	2-0-1 4.50	1-1-1 4.66	1-1-1 4.34	0-1-2 4.04	3-0-0 6.14	—

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	0.66	+11.1
Allowed	0.85	-8.1
Differential	0.92	+5.6

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	7.58%	5.30%	4.29%	2.53%	2.78%	0.51%	22.98%
1	5.30%	14.65%	9.85%	3.79%	1.26%	1.52%	36.36%
2	4.29%	9.85%	5.05%	1.26%	2.02%	0.25%	22.73%
3	2.53%	3.79%	1.26%	—	0.51%	0.25%	8.33%
4	2.78%	1.26%	2.02%	0.51%	0.51%	—	7.07%
5+	0.51%	1.52%	0.25%	0.25%	—	—	2.53%
Total	22.98%	36.36%	22.73%	8.33%	7.07%	2.53%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.49	1.49	+0.00
SD	1.30	1.30	1.93
CV	0.87	0.87	—
Max	7	7	+6
Min	0	0	-6

Games Played: 198

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	15.15%	9.09%	—	—	3.03%	—	27.27%
1	—	24.24%	6.06%	3.03%	3.03%	—	36.36%
2	6.06%	3.03%	6.06%	—	6.06%	—	21.21%
3	3.03%	6.06%	—	—	—	—	9.09%
4	6.06%	—	—	—	—	—	6.06%
5+	—	—	—	—	—	—	—
Total	30.30%	42.42%	12.12%	3.03%	12.12%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.30	1.24	+0.06
SD	1.16	1.28	1.77
CV	0.89	1.03	—
Max	4	4	+4
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	3.03%	6.06%	3.03%	3.03%	—	18.18%
1	6.06%	15.15%	15.15%	—	—	—	36.36%
2	3.03%	18.18%	9.09%	—	—	—	30.30%
3	—	—	6.06%	—	—	—	6.06%
4	—	3.03%	—	—	3.03%	—	6.06%
5+	—	3.03%	—	—	—	—	3.03%
Total	12.12%	42.42%	36.36%	3.03%	6.06%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.55	1.48	+0.06
SD	1.23	0.97	1.56
CV	0.79	0.65	—
Max	5	4	+4
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	—	6.06%	3.03%	6.06%	—	18.18%
1	9.09%	6.06%	12.12%	6.06%	3.03%	3.03%	39.39%
2	6.06%	6.06%	6.06%	—	3.03%	—	21.21%
3	3.03%	—	—	—	3.03%	—	6.06%
4	6.06%	6.06%	—	—	—	—	12.12%
5+	—	—	3.03%	—	—	—	3.03%
Total	27.27%	18.18%	27.27%	9.09%	15.15%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.64	1.76	-0.12
SD	1.37	1.50	2.32
CV	0.83	0.85	—
Max	5	5	+4
Min	0	0	-4

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	2.15	1.27	+0.88
SD	1.68	0.94	2.13
CV	0.78	0.74	—
Max	7	3	+6
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	12.12%	6.06%	—	—	—	—	18.18%
1	12.12%	15.15%	6.06%	—	—	—	33.33%
2	3.03%	15.15%	9.09%	—	—	—	27.27%
3	6.06%	3.03%	—	—	—	—	9.09%
4	6.06%	—	—	3.03%	—	—	9.09%
5+	—	3.03%	—	—	—	—	3.03%
Total	39.39%	42.42%	15.15%	3.03%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.67	0.82	+0.85
SD	1.31	0.81	1.42
CV	0.79	0.99	—
Max	5	3	+4
Min	0	0	-1

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.24	1.97	-0.73
SD	1.06	1.31	1.74
CV	0.85	0.67	—
Max	3	5	+3
Min	0	0	-5

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	3.03%	12.12%	6.06%	6.06%	—	36.36%
1	6.06%	15.15%	—	9.09%	—	—	30.30%
2	—	12.12%	—	—	—	3.03%	15.15%
3	3.03%	6.06%	3.03%	—	—	—	12.12%
4	—	3.03%	3.03%	—	—	—	6.06%
5+	—	—	—	—	—	—	—
Total	18.18%	39.39%	18.18%	15.15%	6.06%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.21	1.61	-0.39
SD	1.24	1.30	1.94
CV	1.03	0.81	—
Max	4	5	+3
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	—	3.03%	6.06%	—	—	18.18%
1	9.09%	18.18%	6.06%	3.03%	3.03%	—	39.39%
2	6.06%	12.12%	6.06%	—	—	—	24.24%
3	—	—	3.03%	—	—	3.03%	6.06%
4	3.03%	—	3.03%	—	—	—	6.06%
5+	3.03%	3.03%	—	—	—	—	6.06%
Total	30.30%	33.33%	21.21%	9.09%	3.03%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.64	1.30	+0.33
SD	1.45	1.26	1.98
CV	0.89	0.97	—
Max	6	5	+6
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	9.09%	—	—	3.03%	—	18.18%
1	6.06%	15.15%	15.15%	3.03%	3.03%	—	42.42%
2	6.06%	9.09%	—	3.03%	3.03%	—	21.21%
3	—	9.09%	—	—	—	—	9.09%
4	3.03%	3.03%	3.03%	—	—	—	9.09%
5+	—	—	—	—	—	—	—
Total	21.21%	45.45%	18.18%	6.06%	9.09%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.48	1.36	+0.12
SD	1.18	1.17	1.73
CV	0.79	0.86	—
Max	4	4	+4
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	12.12%	12.12%	—	—	—	—	24.24%
1	6.06%	12.12%	6.06%	—	—	3.03%	27.27%
2	9.09%	15.15%	6.06%	—	—	—	30.30%
3	6.06%	6.06%	—	—	—	—	12.12%
4	—	—	3.03%	—	3.03%	—	6.06%
5+	—	—	—	—	—	—	—
Total	33.33%	45.45%	15.15%	—	3.03%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.48	1.09	+0.39
SD	1.18	1.38	1.64
CV	0.79	1.26	—
Max	4	7	+3
Min	0	0	-6

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	9.09%	—	3.03%	12.12%	3.03%	30.30%
1	—	18.18%	15.15%	9.09%	3.03%	9.09%	54.55%
2	—	—	3.03%	3.03%	6.06%	—	12.12%
3	—	—	—	—	—	—	—
4	—	—	3.03%	—	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	3.03%	27.27%	21.21%	15.15%	21.21%	12.12%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.91	2.67	-1.76
SD	0.84	1.59	1.82
CV	0.93	0.60	—
Max	4	6	+2
Min	0	0	-6

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.58	1.27	+0.30
SD	1.52	1.07	1.76
CV	0.97	0.84	—
Max	5	4	+4
Min	0	0	-2

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
FC Copenhagen	1735	63	50.78	+12.22	98.0%	30	39	46	51	55	60	64
Brondby	1706	58	58.35	-0.35	50.0%	38	47	53	58	63	71	76
Silkeborg	1672	56	51.56	+4.44	77.0%	33	38	47	51	56	63	76
AB Copenhagen	1630	39	46.03	-7.03	17.0%	34	36	42	46	49	56	59
Aarhus GF	1618	44	39.63	+4.37	78.0%	25	27	35	40	44	51	58
Aalborg	1616	49	48.24	+0.76	61.0%	34	39	44	48	52	58	66
Viborg	1611	46	50.59	-4.59	29.0%	32	38	44	51	55	60	68
Midtjylland	1604	53	45.65	+7.35	85.0%	28	35	42	45	50	56	61
Odense	1576	46	45.18	+0.82	55.0%	30	33	39	46	49	57	65
Lyngby	1514	44	41.29	+2.71	72.0%	25	31	36	41	45	52	58
Herfolge	1489	30	36.10	-6.10	19.0%	20	23	32	36	41	48	50
Sonderjyske	1356	11	25.27	-14.27	2.0%	5	15	21	25	28	35	42

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

+8.59%

Slight Edge

40.40%27.78%31.82%

Elo Value

Home Edge: 29.90 Elo pts.

149 Elo

0.007 goals per Elo point

0400

Scoring Tilt

Expected

+0.32 goals

Neutral

-2+0.20+2

Title Race

How these are measured

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

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

Title-Race Openness

3.0

Top-Heavy

134610

Champion Preseason Odds

FC Copenhagen, 4th of 12

LongshotFavorite

Title Margin

Expected

0.15/gm

Comfortable

00.170.5/gm

Simulation-Based Surprises

How these are measured

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

Luck Spread: Standard deviation of the gap between each team's actual points and their simulated average points. The gold line is the spread the model expected from chance alone.
As Expected: under 5.58 * Some Luck: 5.58 to 8.37 * Lucky: 8.37 to 11.16 * Wild Swing: 11.16 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 1.53 * Close: 1.53 to 2.3 * Off: 2.3 to 3.07 * Way Off: 3.07 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 0.62 * A Surprise: 0.62 to 0.99 * Several Surprises: 0.99 to 1.36 * Many Surprises: 1.36 and up.

Luck Spread

Expected

6.84 points

Some Luck

06.9717

Average Finish Error

Expected

1.33

Pinpoint

01.924

Biggest Overachiever

Expected 95.83%

98.00%

FC Copenhagen

50100

Biggest Underachiever

Expected 4.17%

2.00%

Sonderjyske

050

Season Outliers

Expected

2 of 12

Minimal Outliers

01.26

Unexpected Relegations

Expected

0 of 2

As Expected

00.62

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

0.16

Top-Heavy

00.120.5

Noll-Scully

Elo SD: 102.55

1.86

Strong Separation

0.651.351.61.92.5

Interquartile Edge

61%

Slight Edge

50%59%69%100%

Best vs. Worst

Baseline

90%

Dominant

50%89%100%

Close Games

Expected

62%

Very Frequent

0%56%100%

Blowouts

Expected

18%

Occasional

0%20%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

00.632

Matchup Imbalance

0.28

Very Even

00.280.370.5

Strangeness

Expected

1.10

Wilder Than Modeled

01.002

Repeatability

0.41

Some Carryover

00.30.50.631

Upset Rate

Expected

27%

Upset-Prone

0%26%50%

Clear Favorite Upset Rate

Expected

19%

Solid Favorites

0%22%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 0.19 * Above Noise: 0.19 to 0.25 * Well Above Noise: 0.25 and up.

Probability calibration

0.91

Excellent

0.010.050.10.51

Calibration slope

Ideal

1.07

Calibrated

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.080

Well Within Noise

00.1240.3

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
FC Copenhagen	6.00%	22.00%	14.00%	16.00%	13.00%	11.00%	6.00%	6.00%	3.00%	1.00%	2.00%	—
Brondby	54.00%	15.00%	7.00%	11.00%	6.00%	5.00%	1.00%	—	—	1.00%	—	—
Silkeborg	12.00%	19.00%	13.00%	12.00%	13.00%	12.00%	4.00%	7.00%	4.00%	4.00%	—	—
Midtjylland	3.00%	6.00%	9.00%	11.00%	6.00%	12.00%	16.00%	14.00%	8.00%	10.00%	5.00%	—
Aalborg	5.00%	10.00%	11.00%	13.00%	11.00%	7.00%	19.00%	10.00%	9.00%	3.00%	2.00%	—
Viborg	12.00%	19.00%	18.00%	14.00%	7.00%	5.00%	3.00%	7.00%	10.00%	4.00%	1.00%	—
Odense	2.00%	4.00%	9.00%	12.00%	10.00%	17.00%	11.00%	4.00%	11.00%	10.00%	8.00%	2.00%
Aarhus GF	—	2.00%	3.00%	1.00%	6.00%	4.00%	13.00%	13.00%	20.00%	20.00%	15.00%	3.00%
Lyngby	2.00%	1.00%	5.00%	4.00%	6.00%	7.00%	13.00%	12.00%	17.00%	13.00%	17.00%	3.00%
AB Copenhagen	4.00%	2.00%	10.00%	6.00%	15.00%	13.00%	11.00%	19.00%	8.00%	8.00%	4.00%	—
Herfolge	—	—	1.00%	—	7.00%	7.00%	3.00%	7.00%	9.00%	20.00%	35.00%	11.00%
Sonderjyske	—	—	—	—	—	—	—	1.00%	1.00%	6.00%	11.00%	81.00%

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
Brondby	100%	—
Silkeborg	100%	—
Viborg	99.00%	1.00%
Aalborg	98.00%	2.00%
FC Copenhagen	98.00%	2.00%
AB Copenhagen	96.00%	4.00%
Midtjylland	95.00%	5.00%
Odense	90.00%	10.00%
Aarhus GF	82.00%	18.00%
Lyngby	80.00%	20.00%
Herfolge	54.00%	46.00%
Sonderjyske	8.00%	92.00%

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
2000-07-22	Aarhus GF	L 1-2	67.2	1643	1564	50.03%	27.80%	22.17%	+0.73	-10.3	0
2000-07-22	@ Brondby	W 2-1	67.2	1564	1643	22.17%	27.80%	50.03%	-0.73	+10.3	3
2000-07-23	Lyngby	W 4-0	50.4	1549	1579	35.24%	29.46%	35.29%	+0.00	+30.0	3
2000-07-23	@ Midtjylland	L 0-4	50.4	1579	1549	35.29%	29.46%	35.24%	+0.00	-30.0	0
2000-07-23	Silkeborg	D 1-1	68.0	1621	1617	40.02%	29.30%	30.67%	+0.23	-0.4	1
2000-07-23	@ AB Copenhagen	D 1-1	68.0	1617	1621	30.67%	29.30%	40.02%	-0.23	+0.4	1
2000-07-23	Sonderjyske	W 5-1	51.8	1600	1549	46.38%	28.54%	25.08%	+0.54	+19.3	3
2000-07-23	@ FC Copenhagen	L 1-5	51.8	1549	1600	25.08%	28.54%	46.38%	-0.54	-19.3	0
2000-07-24	Viborg	L 0-1	57.6	1576	1601	35.99%	29.46%	34.55%	+0.03	-8.5	0
2000-07-24	@ Odense	W 1-0	57.6	1601	1576	34.55%	29.46%	35.99%	-0.03	+8.5	3
2000-07-26	Aalborg	L 2-3	68.8	1597	1630	34.89%	29.46%	35.65%	-0.02	-7.4	0
2000-07-26	@ Herfolge	W 3-2	68.8	1630	1597	35.65%	29.46%	34.89%	+0.02	+7.4	3
2000-07-29	Odense	D 0-0	63.3	1633	1568	48.24%	28.19%	23.57%	+0.64	-1.3	1
2000-07-29	@ Brondby	D 0-0	63.3	1568	1633	23.57%	28.19%	48.24%	-0.64	+1.3	1
2000-07-30	Aalborg	L 1-2	59.1	1530	1637	25.44%	28.62%	45.94%	-0.52	-6.2	0
2000-07-30	@ Sonderjyske	W 2-1	59.1	1637	1530	45.94%	28.62%	25.44%	+0.52	+6.2	6
2000-07-30	AB Copenhagen	D 1-1	67.8	1610	1621	38.00%	29.41%	32.59%	+0.13	-0.2	4
2000-07-30	@ Viborg	D 1-1	67.8	1621	1610	32.59%	29.41%	38.00%	-0.13	+0.2	2
2000-07-30	FC Copenhagen	W 1-0	58.4	1574	1619	33.17%	29.43%	37.40%	-0.10	+8.7	6
2000-07-30	@ Aarhus GF	L 0-1	58.4	1619	1574	37.40%	29.43%	33.17%	+0.10	-8.7	3
2000-07-30	Herfolge	W 3-1	59.2	1549	1590	33.79%	29.45%	36.76%	-0.07	+14.1	3
2000-07-30	@ Lyngby	L 1-3	59.2	1590	1549	36.76%	29.45%	33.79%	+0.07	-14.1	0
2000-07-31	Midtjylland	W 2-1	60.2	1618	1579	44.80%	28.79%	26.40%	+0.46	+6.4	4
2000-07-31	@ Silkeborg	L 1-2	60.2	1579	1618	26.40%	28.79%	44.80%	-0.46	-6.4	3
2000-08-04	Viborg	L 1-5	55.9	1575	1610	34.66%	29.46%	35.88%	-0.03	-24.7	0
2000-08-04	@ Herfolge	W 5-1	55.9	1610	1575	35.88%	29.46%	34.66%	+0.03	+24.7	7
2000-08-05	Brondby	D 2-2	72.8	1573	1632	31.25%	29.34%	39.40%	-0.20	+0.3	4
2000-08-05	@ Midtjylland	D 2-2	72.8	1632	1573	39.40%	29.34%	31.25%	+0.20	-0.3	2
2000-08-06	Aarhus GF	W 4-0	50.4	1569	1583	37.57%	29.43%	33.00%	+0.11	+28.6	4
2000-08-06	@ Odense	L 0-4	50.4	1583	1569	33.00%	29.43%	37.57%	-0.11	-28.6	6
2000-08-06	Lyngby	L 1-2	65.5	1610	1563	45.91%	28.62%	25.47%	+0.52	-9.6	3
2000-08-06	@ FC Copenhagen	W 2-1	65.5	1563	1610	25.47%	28.62%	45.91%	-0.52	+9.6	6
2000-08-06	Sonderjyske	W 4-0	45.8	1621	1524	52.22%	27.24%	20.54%	+0.86	+19.5	5
2000-08-06	@ AB Copenhagen	L 0-4	45.8	1524	1621	20.54%	27.24%	52.22%	-0.86	-19.5	0
2000-08-07	Silkeborg	L 1-2	66.4	1643	1624	42.14%	29.12%	28.74%	+0.33	-9.0	6
2000-08-07	@ Aalborg	W 2-1	66.4	1624	1643	28.74%	29.12%	42.14%	-0.33	+9.0	7
2000-08-13	AB Copenhagen	D 2-2	74.1	1634	1640	38.64%	29.38%	31.97%	+0.16	-0.2	7
2000-08-13	@ Aalborg	D 2-2	74.1	1640	1634	31.97%	29.38%	38.64%	-0.16	+0.2	6
2000-08-13	Brondby	L 1-7	58.1	1633	1631	39.75%	29.32%	30.93%	+0.21	-39.5	7
2000-08-13	@ Silkeborg	W 7-1	58.1	1631	1633	30.93%	29.32%	39.75%	-0.21	+39.5	5
2000-08-13	FC Copenhagen	D 0-0	63.8	1634	1601	44.11%	28.89%	27.00%	+0.43	-0.9	8
2000-08-13	@ Viborg	D 0-0	63.8	1601	1634	27.00%	28.89%	44.11%	-0.43	+0.9	4
2000-08-13	Herfolge	L 1-2	58.1	1504	1551	32.93%	29.42%	37.65%	-0.11	-7.5	0
2000-08-13	@ Sonderjyske	W 2-1	58.1	1551	1504	37.65%	29.42%	32.93%	+0.11	+7.5	3
2000-08-13	Midtjylland	W 3-0	50.4	1554	1573	36.89%	29.45%	33.66%	+0.08	+22.2	9
2000-08-13	@ Aarhus GF	L 0-3	50.4	1573	1554	33.66%	29.45%	36.89%	-0.08	-22.2	4
2000-08-13	Odense	L 0-2	54.2	1573	1598	35.98%	29.46%	34.56%	+0.03	-16.0	6
2000-08-13	@ Lyngby	W 2-0	54.2	1598	1573	34.56%	29.46%	35.98%	-0.03	+16.0	7
2000-08-19	Herfolge	W 5-0	47.8	1671	1558	54.07%	26.70%	19.23%	+0.96	+22.6	8
2000-08-19	@ Brondby	L 0-5	47.8	1558	1671	19.23%	26.70%	54.07%	-0.96	-22.6	3
2000-08-20	Aalborg	W 2-1	64.8	1557	1634	28.96%	29.14%	41.90%	-0.32	+9.0	9
2000-08-20	@ Lyngby	L 1-2	64.8	1634	1557	41.90%	29.14%	28.96%	+0.32	-9.0	7
2000-08-20	AB Copenhagen	L 1-3	59.2	1577	1641	30.62%	29.30%	40.09%	-0.23	-12.4	9
2000-08-20	@ Aarhus GF	W 3-1	59.2	1641	1577	40.09%	29.30%	30.62%	+0.23	+12.4	9
2000-08-20	Odense	W 2-1	62.9	1594	1614	36.66%	29.45%	33.89%	+0.07	+7.7	10
2000-08-20	@ Silkeborg	L 1-2	62.9	1614	1594	33.89%	29.45%	36.66%	-0.07	-7.7	7
2000-08-20	Sonderjyske	W 2-1	54.9	1633	1497	56.84%	25.78%	17.38%	+1.12	+4.4	11
2000-08-20	@ Viborg	L 1-2	54.9	1497	1633	17.38%	25.78%	56.84%	-1.12	-4.4	0
2000-08-21	FC Copenhagen	W 1-0	57.6	1551	1602	32.35%	29.40%	38.25%	-0.14	+8.9	7
2000-08-21	@ Midtjylland	L 0-1	57.6	1602	1551	38.25%	29.40%	32.35%	+0.14	-8.9	4
2000-08-27	Aarhus GF	W 3-1	57.5	1536	1564	35.45%	29.46%	35.09%	+0.01	+13.6	6
2000-08-27	@ Herfolge	L 1-3	57.5	1564	1536	35.09%	29.46%	35.45%	-0.01	-13.6	9
2000-08-27	Brondby	W 2-1	67.4	1593	1694	26.14%	28.75%	45.11%	-0.48	+9.5	7
2000-08-27	@ FC Copenhagen	L 1-2	67.4	1694	1593	45.11%	28.75%	26.14%	+0.48	-9.5	8
2000-08-27	Midtjylland	L 1-2	65.2	1606	1560	45.83%	28.63%	25.53%	+0.51	-9.6	7
2000-08-27	@ Odense	W 2-1	65.2	1560	1606	25.53%	28.63%	45.83%	-0.51	+9.6	10
2000-08-27	Silkeborg	D 1-1	64.4	1492	1601	25.23%	28.57%	46.20%	-0.53	+1.0	1
2000-08-27	@ Sonderjyske	D 1-1	64.4	1601	1492	46.20%	28.57%	25.23%	+0.53	-1.0	11
2000-08-27	Viborg	W 1-0	58.4	1625	1638	37.71%	29.42%	32.87%	+0.11	+8.0	10
2000-08-27	@ Aalborg	L 0-1	58.4	1638	1625	32.87%	29.42%	37.71%	-0.11	-8.0	11
2000-08-28	Lyngby	L 0-1	62.5	1653	1566	50.99%	27.57%	21.45%	+0.79	-11.1	9
2000-08-28	@ AB Copenhagen	W 1-0	62.5	1566	1653	21.45%	27.57%	50.99%	-0.79	+11.1	12
2000-09-06	Aalborg	W 2-0	55.6	1597	1633	34.35%	29.46%	36.19%	-0.04	+16.1	10
2000-09-06	@ Odense	L 0-2	55.6	1633	1597	36.19%	29.46%	34.35%	+0.04	-16.1	10
2000-09-06	AB Copenhagen	W 1-0	59.2	1602	1642	33.89%	29.45%	36.66%	-0.07	+8.6	10
2000-09-06	@ FC Copenhagen	L 0-1	59.2	1642	1602	36.66%	29.45%	33.89%	+0.07	-8.6	9
2000-09-06	Lyngby	L 1-4	56.2	1551	1577	35.79%	29.46%	34.75%	+0.02	-19.5	9
2000-09-06	@ Aarhus GF	W 4-1	56.2	1577	1551	34.75%	29.46%	35.79%	-0.02	+19.5	15
2000-09-06	Silkeborg	D 0-0	61.7	1549	1600	32.31%	29.40%	38.29%	-0.14	+0.3	7
2000-09-06	@ Herfolge	D 0-0	61.7	1600	1549	38.29%	29.40%	32.31%	+0.14	-0.3	12
2000-09-06	Sonderjyske	W 5-1	48.1	1569	1493	49.62%	27.89%	22.48%	+0.71	+17.6	13
2000-09-06	@ Midtjylland	L 1-5	48.1	1493	1569	22.48%	27.89%	49.62%	-0.71	-17.6	1
2000-09-06	Viborg	W 2-0	53.2	1684	1630	46.85%	28.46%	24.69%	+0.57	+12.0	11
2000-09-06	@ Brondby	L 0-2	53.2	1630	1684	24.69%	28.46%	46.85%	-0.57	-12.0	11
2000-09-10	Aarhus GF	W 2-1	57.3	1600	1531	48.73%	28.09%	23.18%	+0.67	+5.7	15
2000-09-10	@ Silkeborg	L 1-2	57.3	1531	1600	23.18%	28.09%	48.73%	-0.67	-5.7	9
2000-09-10	Brondby	L 1-3	59.1	1597	1696	26.28%	28.77%	44.95%	-0.47	-11.0	15
2000-09-10	@ Lyngby	W 3-1	59.1	1696	1597	44.95%	28.77%	26.28%	+0.47	+11.0	14
2000-09-10	Herfolge	L 1-3	64.0	1633	1550	50.56%	27.67%	21.77%	+0.76	-18.0	9
2000-09-10	@ AB Copenhagen	W 3-1	64.0	1550	1633	21.77%	27.67%	50.56%	-0.76	+18.0	10
2000-09-10	Midtjylland	D 0-0	63.2	1618	1587	43.75%	28.94%	27.31%	+0.41	-0.8	12
2000-09-10	@ Viborg	D 0-0	63.2	1587	1618	27.31%	28.94%	43.75%	-0.41	+0.8	14
2000-09-10	Odense	L 1-4	50.4	1476	1613	22.37%	27.86%	49.77%	-0.72	-13.6	1
2000-09-10	@ Sonderjyske	W 4-1	50.4	1613	1476	49.77%	27.86%	22.37%	+0.72	+13.6	13
2000-09-11	FC Copenhagen	L 1-2	65.2	1617	1611	40.35%	29.28%	30.37%	+0.24	-8.7	10
2000-09-11	@ Aalborg	W 2-1	65.2	1611	1617	30.37%	29.28%	40.35%	-0.24	+8.7	13
2000-09-17	Aarhus GF	W 2-1	56.9	1608	1525	50.45%	27.70%	21.85%	+0.76	+5.4	13
2000-09-17	@ Aalborg	L 1-2	56.9	1525	1608	21.85%	27.70%	50.45%	-0.76	-5.4	9
2000-09-17	Lyngby	L 2-4	56.1	1462	1586	23.72%	28.23%	48.05%	-0.63	-9.0	1
2000-09-17	@ Sonderjyske	W 4-2	56.1	1586	1462	48.05%	28.23%	23.72%	+0.63	+9.0	18
2000-09-17	Midtjylland	L 0-1	57.3	1568	1588	36.67%	29.45%	33.88%	+0.07	-8.6	10
2000-09-17	@ Herfolge	W 1-0	57.3	1588	1568	33.88%	29.45%	36.67%	-0.07	+8.6	17
2000-09-17	Odense	W 1-0	57.9	1620	1626	38.58%	29.39%	32.04%	+0.16	+7.8	16
2000-09-17	@ FC Copenhagen	L 0-1	57.9	1626	1620	32.04%	29.39%	38.58%	-0.16	-7.8	13
2000-09-17	Silkeborg	D 1-1	67.7	1617	1606	41.06%	29.22%	29.72%	+0.28	-0.5	13
2000-09-17	@ Viborg	D 1-1	67.7	1606	1617	29.72%	29.22%	41.06%	-0.28	+0.5	16
2000-09-18	Brondby	L 0-4	51.7	1615	1707	27.17%	28.91%	43.92%	-0.42	-24.7	9
2000-09-18	@ AB Copenhagen	W 4-0	51.7	1707	1615	43.92%	28.91%	27.17%	+0.42	+24.7	17
2000-09-22	Viborg	W 1-0	57.8	1595	1616	36.42%	29.45%	34.12%	+0.05	+8.2	21
2000-09-22	@ Lyngby	L 0-1	57.8	1616	1595	34.12%	29.45%	36.42%	-0.05	-8.2	13
2000-09-24	Aalborg	W 2-1	59.6	1732	1614	54.72%	26.50%	18.78%	+1.00	+4.7	20
2000-09-24	@ Brondby	L 1-2	59.6	1614	1732	18.78%	26.50%	54.72%	-1.00	-4.7	13
2000-09-24	AB Copenhagen	D 1-1	66.9	1596	1591	40.33%	29.28%	30.39%	+0.24	-0.4	18
2000-09-24	@ Midtjylland	D 1-1	66.9	1591	1596	30.39%	29.28%	40.33%	-0.24	+0.4	10
2000-09-24	FC Copenhagen	D 0-0	63.6	1606	1627	36.54%	29.45%	34.01%	+0.06	-0.1	17
2000-09-24	@ Silkeborg	D 0-0	63.6	1627	1606	34.01%	29.45%	36.54%	-0.06	+0.1	17
2000-09-24	Herfolge	W 3-1	56.1	1618	1559	47.51%	28.34%	24.15%	+0.60	+10.2	16
2000-09-24	@ Odense	L 1-3	56.1	1559	1618	24.15%	28.34%	47.51%	-0.60	-10.2	10
2000-09-25	Sonderjyske	D 1-1	60.2	1520	1453	48.47%	28.15%	23.38%	+0.65	-1.2	10
2000-09-25	@ Aarhus GF	D 1-1	60.2	1453	1520	23.38%	28.15%	48.47%	-0.65	+1.2	2
2000-10-01	Aarhus GF	W 2-0	48.0	1608	1519	51.28%	27.49%	21.23%	+0.80	+10.6	16
2000-10-01	@ Viborg	L 0-2	48.0	1519	1608	21.23%	27.49%	51.28%	-0.80	-10.6	10
2000-10-01	Lyngby	W 3-0	51.5	1606	1603	40.00%	29.30%	30.69%	+0.22	+20.7	20
2000-10-01	@ Silkeborg	L 0-3	51.5	1603	1606	30.69%	29.30%	40.00%	-0.22	-20.7	21
2000-10-01	Midtjylland	L 1-2	65.0	1609	1596	41.31%	29.20%	29.49%	+0.29	-8.9	13
2000-10-01	@ Aalborg	W 2-1	65.0	1596	1609	29.49%	29.20%	41.31%	-0.29	+8.9	21
2000-10-01	Odense	W 3-1	61.1	1591	1629	34.16%	29.46%	36.39%	-0.05	+14.0	13
2000-10-01	@ AB Copenhagen	L 1-3	61.1	1629	1591	36.39%	29.46%	34.16%	+0.05	-14.0	16
2000-10-01	Sonderjyske	W 6-1	44.7	1736	1454	71.51%	18.87%	9.62%	+2.10	+8.7	23
2000-10-01	@ Brondby	L 1-6	44.7	1454	1736	9.62%	18.87%	71.51%	-2.10	-8.7	2
2000-10-02	FC Copenhagen	L 0-2	52.1	1549	1627	28.74%	29.12%	42.14%	-0.33	-13.6	10
2000-10-02	@ Herfolge	W 2-0	52.1	1627	1549	42.14%	29.12%	28.74%	+0.33	+13.6	20
2000-10-15	Aarhus GF	W 4-0	44.7	1641	1508	56.40%	25.93%	17.66%	+1.09	+16.9	23
2000-10-15	@ FC Copenhagen	L 0-4	44.7	1508	1641	17.66%	25.93%	56.40%	-1.09	-16.9	10
2000-10-15	Brondby	W 3-0	59.4	1582	1745	20.00%	27.03%	52.97%	-0.90	+31.3	24
2000-10-15	@ Lyngby	L 0-3	59.4	1745	1582	52.97%	27.03%	20.00%	+0.90	-31.3	23
2000-10-15	Herfolge	D 2-2	71.4	1600	1535	48.20%	28.20%	23.60%	+0.64	-0.9	14
2000-10-15	@ Aalborg	D 2-2	71.4	1535	1600	23.60%	28.20%	48.20%	-0.64	+0.8	11
2000-10-15	Silkeborg	L 0-1	58.9	1605	1627	36.40%	29.45%	34.15%	+0.05	-8.6	13
2000-10-15	@ AB Copenhagen	W 1-0	58.9	1627	1605	34.15%	29.45%	36.40%	-0.05	+8.6	23
2000-10-15	Viborg	L 0-4	42.7	1446	1619	19.17%	26.67%	54.16%	-0.96	-18.3	2
2000-10-15	@ Sonderjyske	W 4-0	42.7	1619	1446	54.16%	26.67%	19.17%	+0.96	+18.3	19
2000-10-16	Midtjylland	L 1-2	65.2	1615	1605	40.89%	29.24%	29.87%	+0.27	-8.8	16
2000-10-16	@ Odense	W 2-1	65.2	1605	1615	29.87%	29.24%	40.89%	-0.27	+8.8	24
2000-10-22	Aalborg	L 1-2	66.5	1637	1599	44.71%	28.81%	26.49%	+0.46	-9.4	19
2000-10-22	@ Viborg	W 2-1	66.5	1599	1637	26.49%	28.81%	44.71%	-0.46	+9.4	17
2000-10-22	AB Copenhagen	W 4-2	60.5	1714	1596	54.63%	26.53%	18.84%	+0.99	+7.3	26
2000-10-22	@ Brondby	L 2-4	60.5	1596	1714	18.84%	26.53%	54.63%	-0.99	-7.3	13
2000-10-22	Lyngby	W 5-2	61.7	1491	1613	23.87%	28.27%	47.86%	-0.62	+21.1	13
2000-10-22	@ Aarhus GF	L 2-5	61.7	1613	1491	47.86%	28.27%	23.87%	+0.62	-21.1	24
2000-10-22	Odense	D 1-1	65.7	1536	1606	29.85%	29.23%	40.92%	-0.27	+0.5	12
2000-10-22	@ Herfolge	D 1-1	65.7	1606	1536	40.92%	29.23%	29.85%	+0.27	-0.5	17
2000-10-22	Sonderjyske	D 0-0	60.9	1636	1427	64.48%	22.56%	12.96%	+1.60	-2.9	24
2000-10-22	@ Silkeborg	D 0-0	60.9	1427	1636	12.96%	22.56%	64.48%	-1.60	+2.9	3
2000-10-23	FC Copenhagen	D 2-2	74.1	1614	1658	33.23%	29.43%	37.34%	-0.10	+0.1	25
2000-10-23	@ Midtjylland	D 2-2	74.1	1658	1614	37.34%	29.43%	33.23%	+0.10	-0.1	24
2000-10-29	AB Copenhagen	D 1-1	62.2	1430	1589	20.37%	27.18%	52.45%	-0.87	+1.5	4
2000-10-29	@ Sonderjyske	D 1-1	62.2	1589	1430	52.45%	27.18%	20.37%	+0.87	-1.5	14
2000-10-29	Brondby	W 2-0	61.1	1512	1721	16.52%	25.27%	58.21%	-1.20	+23.3	16
2000-10-29	@ Aarhus GF	L 0-2	61.1	1721	1512	58.21%	25.27%	16.52%	+1.20	-23.3	26
2000-10-29	Herfolge	D 1-1	67.9	1658	1537	55.08%	26.38%	18.54%	+1.02	-1.8	25
2000-10-29	@ FC Copenhagen	D 1-1	67.9	1537	1658	18.54%	26.38%	55.08%	-1.02	+1.8	13
2000-10-29	Silkeborg	D 4-4	79.6	1609	1633	36.10%	29.46%	34.45%	+0.04	-0.0	18
2000-10-29	@ Aalborg	D 4-4	79.6	1633	1609	34.45%	29.46%	36.10%	-0.04	+0.0	25
2000-10-29	Viborg	W 2-1	63.5	1605	1628	36.36%	29.46%	34.18%	+0.05	+7.7	20
2000-10-29	@ Odense	L 1-2	63.5	1628	1605	34.18%	29.46%	36.36%	-0.05	-7.7	19
2000-10-30	Midtjylland	D 1-1	67.3	1592	1614	36.48%	29.45%	34.07%	+0.06	-0.1	25
2000-10-30	@ Lyngby	D 1-1	67.3	1614	1592	34.07%	29.45%	36.48%	-0.06	+0.1	26
2000-11-03	Lyngby	L 2-3	65.5	1538	1592	31.94%	29.38%	38.68%	-0.16	-7.0	13
2000-11-03	@ Herfolge	W 3-2	65.5	1592	1538	38.68%	29.38%	31.94%	+0.16	+7.0	28
2000-11-05	Aalborg	D 1-1	67.0	1588	1608	36.55%	29.45%	34.00%	+0.06	-0.1	15
2000-11-05	@ AB Copenhagen	D 1-1	67.0	1608	1588	34.00%	29.45%	36.55%	-0.06	+0.1	19
2000-11-05	Aarhus GF	L 1-4	60.5	1614	1536	49.88%	27.84%	22.29%	+0.73	-25.2	26
2000-11-05	@ Midtjylland	W 4-1	60.5	1536	1614	22.29%	27.84%	49.88%	-0.73	+25.2	19
2000-11-05	FC Copenhagen	W 2-1	64.8	1620	1656	34.38%	29.46%	36.16%	-0.04	+8.0	22
2000-11-05	@ Viborg	L 1-2	64.8	1656	1620	36.16%	29.46%	34.38%	+0.04	-8.0	25
2000-11-05	Sonderjyske	W 4-2	52.2	1698	1432	70.06%	19.68%	10.26%	+1.99	+3.8	29
2000-11-05	@ Brondby	L 2-4	52.2	1432	1698	10.26%	19.68%	70.06%	-1.99	-3.8	4
2000-11-06	Odense	L 0-1	60.8	1633	1613	42.23%	29.11%	28.66%	+0.33	-9.6	25
2000-11-06	@ Silkeborg	W 1-0	60.8	1613	1633	28.66%	29.11%	42.23%	-0.33	+9.6	23
2000-11-12	AB Copenhagen	W 2-1	60.6	1623	1587	44.35%	28.86%	26.80%	+0.44	+6.4	26
2000-11-12	@ Odense	L 1-2	60.6	1587	1623	26.80%	28.86%	44.35%	-0.44	-6.4	15
2000-11-12	Brondby	D 1-1	69.0	1589	1702	24.80%	28.48%	46.71%	-0.56	+1.0	27
2000-11-12	@ Midtjylland	D 1-1	69.0	1702	1589	46.71%	28.48%	24.80%	+0.56	-1.0	30
2000-11-12	Herfolge	D 1-1	64.2	1561	1531	43.59%	28.96%	27.46%	+0.40	-0.7	20
2000-11-12	@ Aarhus GF	D 1-1	64.2	1531	1561	27.46%	28.96%	43.59%	-0.40	+0.7	14
2000-11-12	Silkeborg	D 2-2	74.2	1648	1623	42.95%	29.03%	28.02%	+0.37	-0.5	26
2000-11-12	@ FC Copenhagen	D 2-2	74.2	1623	1648	28.02%	29.03%	42.95%	-0.37	+0.5	26
2000-11-12	Sonderjyske	W 1-0	45.1	1609	1428	61.63%	23.87%	14.50%	+1.42	+3.9	22
2000-11-12	@ Aalborg	L 0-1	45.1	1428	1609	14.50%	23.87%	61.63%	-1.42	-3.8	4
2000-11-12	Viborg	L 0-2	55.3	1599	1628	35.42%	29.46%	35.12%	+0.01	-15.8	28
2000-11-12	@ Lyngby	W 2-0	55.3	1628	1599	35.12%	29.46%	35.42%	-0.01	+15.8	25
2000-11-19	Aalborg	W 2-0	51.9	1701	1612	51.13%	27.53%	21.34%	+0.79	+10.6	33
2000-11-19	@ Brondby	L 0-2	51.9	1612	1701	21.34%	27.53%	51.13%	-0.79	-10.6	22
2000-11-19	Aarhus GF	W 4-2	60.0	1644	1560	50.57%	27.67%	21.76%	+0.76	+8.4	28
2000-11-19	@ Viborg	L 2-4	60.0	1560	1644	21.76%	27.67%	50.57%	-0.76	-8.4	20
2000-11-19	Lyngby	W 3-1	57.6	1624	1583	45.02%	28.76%	26.22%	+0.47	+10.9	29
2000-11-19	@ Silkeborg	L 1-3	57.6	1583	1624	26.22%	28.76%	45.02%	-0.47	-11.0	28
2000-11-19	Midtjylland	L 0-2	51.5	1532	1590	31.44%	29.35%	39.21%	-0.19	-14.5	14
2000-11-19	@ Herfolge	W 2-0	51.5	1590	1532	39.21%	29.35%	31.44%	+0.19	+14.5	30
2000-11-19	Odense	W 4-2	65.6	1424	1629	16.78%	25.43%	57.79%	-1.18	+17.9	7
2000-11-19	@ Sonderjyske	L 2-4	65.6	1629	1424	57.79%	25.43%	16.78%	+1.18	-17.9	26
2000-11-20	FC Copenhagen	D 2-2	73.4	1581	1648	30.27%	29.27%	40.46%	-0.25	+0.3	16
2000-11-20	@ AB Copenhagen	D 2-2	73.4	1648	1581	40.46%	29.27%	30.27%	+0.25	-0.3	27
2000-11-26	Aalborg	L 2-3	70.2	1611	1602	40.82%	29.24%	29.94%	+0.26	-8.3	26
2000-11-26	@ Odense	W 3-2	70.2	1602	1611	29.94%	29.24%	40.82%	-0.26	+8.3	25
2000-11-26	AB Copenhagen	W 2-1	61.1	1572	1581	38.25%	29.40%	32.35%	+0.14	+7.4	31
2000-11-26	@ Lyngby	L 1-2	61.1	1581	1572	32.35%	29.40%	38.25%	-0.14	-7.4	16
2000-11-26	Silkeborg	L 1-2	60.6	1552	1635	28.25%	29.06%	42.69%	-0.36	-6.7	20
2000-11-26	@ Aarhus GF	W 2-1	60.6	1635	1552	42.69%	29.06%	28.25%	+0.36	+6.7	32
2000-11-26	Sonderjyske	W 4-0	40.5	1647	1442	64.16%	22.71%	13.13%	+1.58	+12.3	30
2000-11-26	@ FC Copenhagen	L 0-4	40.5	1442	1647	13.13%	22.71%	64.16%	-1.58	-12.3	7
2000-11-26	Viborg	L 3-5	66.7	1604	1652	32.73%	29.42%	37.85%	-0.12	-11.0	30
2000-11-26	@ Midtjylland	W 5-3	66.7	1652	1604	37.85%	29.42%	32.73%	+0.12	+11.0	31
2000-11-27	Brondby	W 3-2	74.2	1518	1711	17.58%	25.89%	56.53%	-1.10	+10.8	17
2000-11-27	@ Herfolge	L 2-3	74.2	1711	1518	56.53%	25.89%	17.58%	+1.10	-10.8	33
2001-03-11	Aalborg	D 1-1	68.7	1659	1610	46.21%	28.57%	25.22%	+0.53	-1.0	31
2001-03-11	@ FC Copenhagen	D 1-1	68.7	1610	1659	25.22%	28.57%	46.21%	-0.53	+1.0	26
2001-03-11	Herfolge	W 3-0	46.1	1663	1528	56.63%	25.85%	17.52%	+1.11	+12.8	34
2001-03-11	@ Viborg	L 0-3	46.1	1528	1663	17.52%	25.85%	56.63%	-1.11	-12.8	17
2001-03-11	Lyngby	L 1-3	49.5	1430	1580	21.16%	27.47%	51.38%	-0.81	-9.1	7
2001-03-11	@ Sonderjyske	W 3-1	49.5	1580	1430	51.38%	27.47%	21.16%	+0.81	+9.1	34
2001-03-11	Midtjylland	W 3-1	57.8	1641	1593	46.04%	28.60%	25.36%	+0.52	+10.7	35
2001-03-11	@ Silkeborg	L 1-3	57.8	1593	1641	25.36%	28.60%	46.04%	-0.52	-10.7	30
2001-03-11	Odense	L 1-2	69.4	1700	1603	52.28%	27.22%	20.50%	+0.86	-10.7	33
2001-03-11	@ Brondby	W 2-1	69.4	1603	1700	20.50%	27.22%	52.28%	-0.86	+10.7	29
2001-03-12	Aarhus GF	W 2-0	50.1	1574	1545	43.47%	28.97%	27.56%	+0.39	+13.1	19
2001-03-12	@ AB Copenhagen	L 0-2	50.1	1545	1574	27.56%	28.97%	43.47%	-0.39	-13.1	20
2001-03-18	Aalborg	D 0-0	62.9	1589	1611	36.37%	29.46%	34.18%	+0.05	-0.1	35
2001-03-18	@ Lyngby	D 0-0	62.9	1611	1589	34.18%	29.46%	36.37%	-0.05	+0.1	27
2001-03-18	Brondby	L 1-3	63.4	1676	1690	37.56%	29.43%	33.01%	+0.11	-14.3	34
2001-03-18	@ Viborg	W 3-1	63.4	1690	1676	33.01%	29.43%	37.56%	-0.11	+14.3	36
2001-03-18	Odense	W 2-1	61.4	1659	1614	45.64%	28.67%	25.70%	+0.50	+6.2	34
2001-03-18	@ FC Copenhagen	L 1-2	61.4	1614	1659	25.70%	28.67%	45.64%	-0.50	-6.2	29
2001-03-18	Silkeborg	L 0-2	49.6	1515	1652	22.42%	27.88%	49.70%	-0.72	-11.1	17
2001-03-18	@ Herfolge	W 2-0	49.6	1652	1515	49.70%	27.88%	22.42%	+0.72	+11.1	38
2001-03-18	Sonderjyske	W 1-0	44.2	1532	1421	53.91%	26.75%	19.34%	+0.95	+5.1	23
2001-03-18	@ Aarhus GF	L 0-1	44.2	1421	1532	19.34%	26.75%	53.91%	-0.95	-5.1	7
2001-03-19	AB Copenhagen	W 4-2	62.7	1583	1587	38.89%	29.37%	31.74%	+0.17	+11.3	33
2001-03-19	@ Midtjylland	L 2-4	62.7	1587	1583	31.74%	29.37%	38.89%	-0.17	-11.3	19
2001-04-01	Aarhus GF	W 5-1	50.9	1611	1537	49.38%	27.95%	22.67%	+0.70	+17.7	30
2001-04-01	@ Aalborg	L 1-5	50.9	1537	1611	22.67%	27.95%	49.38%	-0.70	-17.7	23
2001-04-01	FC Copenhagen	L 1-2	68.3	1704	1665	44.90%	28.78%	26.33%	+0.47	-9.5	36
2001-04-01	@ Brondby	W 2-1	68.3	1665	1704	26.33%	28.78%	44.90%	-0.47	+9.5	37
2001-04-01	Herfolge	D 0-0	59.9	1576	1504	49.03%	28.03%	22.95%	+0.68	-1.4	20
2001-04-01	@ AB Copenhagen	D 0-0	59.9	1504	1576	22.95%	28.03%	49.03%	-0.68	+1.4	18
2001-04-01	Lyngby	D 1-1	67.1	1607	1589	42.08%	29.13%	28.79%	+0.33	-0.6	30
2001-04-01	@ Odense	D 1-1	67.1	1589	1607	28.79%	29.13%	42.08%	-0.33	+0.6	36
2001-04-01	Midtjylland	L 2-3	56.5	1415	1594	18.75%	26.48%	54.77%	-1.00	-4.5	7
2001-04-01	@ Sonderjyske	W 3-2	56.5	1594	1415	54.77%	26.48%	18.75%	+1.00	+4.5	36
2001-04-02	Viborg	W 2-0	55.4	1663	1662	39.71%	29.32%	30.96%	+0.21	+14.4	41
2001-04-02	@ Silkeborg	L 0-2	55.4	1662	1663	30.96%	29.32%	39.71%	-0.21	-14.4	34
2001-04-08	Aalborg	W 1-0	58.5	1598	1629	35.18%	29.46%	35.36%	+0.00	+8.4	39
2001-04-08	@ Midtjylland	L 0-1	58.5	1629	1598	35.36%	29.46%	35.18%	+0.00	-8.4	30
2001-04-08	AB Copenhagen	D 0-0	63.8	1647	1574	49.23%	27.98%	22.78%	+0.69	-1.4	35
2001-04-08	@ Viborg	D 0-0	63.8	1574	1647	22.78%	27.98%	49.23%	-0.69	+1.4	21
2001-04-08	Odense	W 4-1	58.2	1519	1607	27.71%	28.99%	43.30%	-0.39	+22.5	26
2001-04-08	@ Aarhus GF	L 1-4	58.2	1607	1519	43.30%	28.99%	27.71%	+0.39	-22.5	30
2001-04-08	Silkeborg	W 1-0	58.5	1695	1677	41.91%	29.14%	28.95%	+0.32	+7.2	39
2001-04-08	@ Brondby	L 0-1	58.5	1677	1695	28.95%	29.14%	41.91%	-0.32	-7.2	41
2001-04-08	Sonderjyske	W 3-0	38.4	1506	1411	51.93%	27.32%	20.75%	+0.84	+15.0	21
2001-04-08	@ Herfolge	L 0-3	38.4	1411	1506	20.75%	27.32%	51.93%	-0.84	-15.0	7
2001-04-09	FC Copenhagen	D 0-0	64.3	1589	1674	28.00%	29.03%	42.97%	-0.37	+0.8	37
2001-04-09	@ Lyngby	D 0-0	64.3	1674	1589	42.97%	29.03%	28.00%	+0.37	-0.8	38
2001-04-12	AB Copenhagen	D 0-0	60.7	1542	1576	34.71%	29.46%	35.83%	-0.03	+0.1	27
2001-04-12	@ Aarhus GF	D 0-0	60.7	1576	1542	35.83%	29.46%	34.71%	+0.03	-0.0	22
2001-04-12	Brondby	L 1-2	61.1	1584	1702	24.30%	28.37%	47.32%	-0.59	-5.9	30
2001-04-12	@ Odense	W 2-1	61.1	1702	1584	47.32%	28.37%	24.30%	+0.59	+5.9	42
2001-04-12	FC Copenhagen	D 1-1	68.8	1621	1673	32.07%	29.39%	38.55%	-0.15	+0.3	31
2001-04-12	@ Aalborg	D 1-1	68.8	1673	1621	38.55%	29.39%	32.07%	+0.15	-0.3	39
2001-04-12	Silkeborg	D 0-0	64.4	1607	1670	30.68%	29.30%	40.02%	-0.23	+0.5	40
2001-04-12	@ Midtjylland	D 0-0	64.4	1670	1607	40.02%	29.30%	30.68%	+0.23	-0.5	42
2001-04-12	Sonderjyske	D 1-1	62.1	1590	1396	63.05%	23.23%	13.72%	+1.51	-2.5	38
2001-04-12	@ Lyngby	D 1-1	62.1	1396	1590	13.72%	23.23%	63.05%	-1.51	+2.5	8
2001-04-12	Viborg	D 1-1	66.7	1521	1646	23.55%	28.19%	48.26%	-0.64	+1.2	22
2001-04-12	@ Herfolge	D 1-1	66.7	1646	1521	48.26%	28.19%	23.55%	+0.64	-1.2	36
2001-04-16	Aarhus GF	D 2-2	74.0	1670	1542	55.82%	26.13%	18.04%	+1.06	-1.4	43
2001-04-16	@ Silkeborg	D 2-2	74.0	1542	1670	18.04%	26.13%	55.82%	-1.06	+1.4	28
2001-04-16	FC Copenhagen	L 1-2	50.5	1398	1673	12.62%	22.23%	65.15%	-1.65	-3.1	8
2001-04-16	@ Sonderjyske	W 2-1	50.5	1673	1398	65.15%	22.23%	12.62%	+1.65	+3.1	42
2001-04-16	Herfolge	D 2-2	75.1	1708	1522	62.19%	23.62%	14.19%	+1.45	-1.8	43
2001-04-16	@ Brondby	D 2-2	75.1	1522	1708	14.19%	23.62%	62.19%	-1.45	+1.8	23
2001-04-16	Lyngby	W 4-0	50.7	1576	1588	37.83%	29.42%	32.76%	+0.12	+28.4	25
2001-04-16	@ AB Copenhagen	L 0-4	50.7	1588	1576	32.76%	29.42%	37.83%	-0.12	-28.4	38
2001-04-16	Midtjylland	L 1-2	66.8	1645	1607	44.64%	28.82%	26.55%	+0.45	-9.4	36
2001-04-16	@ Viborg	W 2-1	66.8	1607	1645	26.55%	28.82%	44.64%	-0.45	+9.4	43
2001-04-16	Odense	D 1-1	67.3	1621	1578	45.32%	28.71%	25.97%	+0.49	-0.9	32
2001-04-16	@ Aalborg	D 1-1	67.3	1578	1621	25.97%	28.71%	45.32%	-0.49	+0.9	31
2001-04-22	AB Copenhagen	D 0-0	64.8	1676	1604	49.14%	28.00%	22.86%	+0.69	-1.4	43
2001-04-22	@ FC Copenhagen	D 0-0	64.8	1604	1676	22.86%	28.00%	49.14%	-0.69	+1.4	26
2001-04-22	Brondby	D 2-2	74.9	1620	1706	27.84%	29.01%	43.15%	-0.38	+0.5	33
2001-04-22	@ Aalborg	D 2-2	74.9	1706	1620	43.15%	29.01%	27.84%	+0.38	-0.5	44
2001-04-22	Herfolge	W 2-0	48.3	1617	1524	51.71%	27.38%	20.91%	+0.83	+10.4	46
2001-04-22	@ Midtjylland	L 0-2	48.3	1524	1617	20.91%	27.38%	51.71%	-0.83	-10.4	23
2001-04-22	Silkeborg	L 0-2	52.0	1559	1668	25.23%	28.57%	46.20%	-0.53	-12.2	38
2001-04-22	@ Lyngby	W 2-0	52.0	1668	1559	46.20%	28.57%	25.23%	+0.53	+12.3	46
2001-04-22	Sonderjyske	W 3-1	45.0	1579	1395	61.97%	23.72%	14.31%	+1.44	+6.2	34
2001-04-22	@ Odense	L 1-3	45.0	1395	1579	14.31%	23.72%	61.97%	-1.44	-6.2	8
2001-04-22	Viborg	L 3-4	68.2	1543	1635	27.16%	28.91%	43.93%	-0.42	-6.0	28
2001-04-22	@ Aarhus GF	W 4-3	68.2	1635	1543	43.93%	28.91%	27.16%	+0.42	+6.0	39
2001-04-29	Aalborg	D 1-1	62.7	1389	1620	15.05%	24.28%	60.67%	-1.36	+2.3	9
2001-04-29	@ Sonderjyske	D 1-1	62.7	1620	1389	60.67%	24.28%	15.05%	+1.36	-2.3	34
2001-04-29	Aarhus GF	L 1-2	58.9	1513	1537	36.12%	29.46%	34.43%	+0.04	-8.0	23
2001-04-29	@ Herfolge	W 2-1	58.9	1537	1513	34.43%	29.46%	36.12%	-0.04	+8.0	31
2001-04-29	Lyngby	W 3-0	47.5	1641	1547	51.88%	27.33%	20.79%	+0.84	+15.1	42
2001-04-29	@ Viborg	L 0-3	47.5	1547	1641	20.79%	27.33%	51.88%	-0.84	-15.1	38
2001-04-29	Midtjylland	D 1-1	69.7	1706	1627	49.93%	27.82%	22.25%	+0.73	-1.3	45
2001-04-29	@ Brondby	D 1-1	69.7	1627	1706	22.25%	27.82%	49.93%	-0.73	+1.3	47
2001-04-29	Odense	D 0-0	62.8	1605	1585	42.30%	29.10%	28.59%	+0.34	-0.7	27
2001-04-29	@ AB Copenhagen	D 0-0	62.8	1585	1605	28.59%	29.10%	42.30%	-0.34	+0.7	35
2001-04-30	FC Copenhagen	D 1-1	69.5	1681	1675	40.32%	29.28%	30.40%	+0.24	-0.4	47
2001-04-30	@ Silkeborg	D 1-1	69.5	1675	1681	30.40%	29.28%	40.32%	-0.24	+0.5	44
2001-05-06	AB Copenhagen	W 4-1	56.6	1618	1605	41.38%	29.19%	29.43%	+0.29	+17.0	37
2001-05-06	@ Aalborg	L 1-4	56.6	1605	1618	29.43%	29.19%	41.38%	-0.29	-17.0	27
2001-05-06	Brondby	L 0-4	39.3	1391	1704	10.82%	20.34%	68.84%	-1.90	-9.8	9
2001-05-06	@ Sonderjyske	W 4-0	39.3	1704	1391	68.84%	20.34%	10.82%	+1.90	+9.8	48
2001-05-06	Silkeborg	W 1-0	61.7	1586	1680	26.90%	28.87%	44.22%	-0.43	+9.9	38
2001-05-06	@ Odense	L 0-1	61.7	1680	1586	44.22%	28.87%	26.90%	+0.43	-9.9	47
2001-05-06	Viborg	W 1-0	58.0	1675	1656	42.13%	29.12%	28.75%	+0.33	+7.2	47
2001-05-06	@ FC Copenhagen	L 0-1	58.0	1656	1675	28.75%	29.12%	42.13%	-0.33	-7.2	42
2001-05-07	Midtjylland	W 2-0	56.2	1545	1628	28.21%	29.06%	42.73%	-0.36	+18.2	34
2001-05-07	@ Aarhus GF	L 0-2	56.2	1628	1545	42.73%	29.06%	28.21%	+0.36	-18.2	47
2001-05-09	Herfolge	D 1-1	62.3	1532	1505	43.18%	29.01%	27.81%	+0.38	-0.7	39
2001-05-09	@ Lyngby	D 1-1	62.3	1505	1532	27.81%	29.01%	43.18%	-0.38	+0.7	24
2001-05-13	Aarhus GF	W 2-1	57.6	1714	1564	58.39%	25.20%	16.41%	+1.21	+4.1	51
2001-05-13	@ Brondby	L 1-2	57.6	1564	1714	16.41%	25.20%	58.39%	-1.21	-4.1	34
2001-05-13	FC Copenhagen	L 3-4	65.2	1506	1683	18.90%	26.55%	54.55%	-0.99	-4.4	24
2001-05-13	@ Herfolge	W 4-3	65.2	1683	1506	54.55%	26.55%	18.90%	+0.99	+4.4	50
2001-05-13	Lyngby	D 0-0	61.9	1610	1531	49.99%	27.81%	22.20%	+0.73	-1.5	48
2001-05-13	@ Midtjylland	D 0-0	61.9	1531	1610	22.20%	27.81%	49.99%	-0.73	+1.5	40
2001-05-13	Odense	D 1-1	68.3	1649	1596	46.72%	28.48%	24.80%	+0.56	-1.0	43
2001-05-13	@ Viborg	D 1-1	68.3	1596	1649	24.80%	28.48%	46.72%	-0.56	+1.0	39
2001-05-13	Sonderjyske	D 1-1	61.7	1588	1382	64.28%	22.65%	13.07%	+1.59	-2.6	28
2001-05-13	@ AB Copenhagen	D 1-1	61.7	1382	1588	13.07%	22.65%	64.28%	-1.59	+2.6	10
2001-05-14	Aalborg	W 3-0	51.8	1670	1635	44.32%	28.86%	26.82%	+0.44	+18.7	50
2001-05-14	@ Silkeborg	L 0-3	51.8	1635	1670	26.82%	28.86%	44.32%	-0.44	-18.7	37
2001-05-17	Aarhus GF	L 0-1	55.1	1533	1559	35.72%	29.46%	34.81%	+0.02	-8.5	40
2001-05-17	@ Lyngby	W 1-0	55.1	1559	1533	34.81%	29.46%	35.72%	-0.02	+8.4	37
2001-05-17	Brondby	D 1-1	69.4	1585	1718	22.76%	27.98%	49.26%	-0.69	+1.2	29
2001-05-17	@ AB Copenhagen	D 1-1	69.4	1718	1585	49.26%	27.98%	22.76%	+0.69	-1.2	52
2001-05-17	Herfolge	W 4-2	56.6	1597	1502	52.00%	27.30%	20.70%	+0.84	+8.0	42
2001-05-17	@ Odense	L 2-4	56.6	1502	1597	20.70%	27.30%	52.00%	-0.84	-8.0	24
2001-05-17	Midtjylland	W 3-0	50.0	1687	1609	49.89%	27.83%	22.28%	+0.73	+16.0	53
2001-05-17	@ FC Copenhagen	L 0-3	50.0	1609	1687	22.28%	27.83%	49.89%	-0.73	-16.0	48
2001-05-17	Silkeborg	L 0-1	44.4	1384	1689	11.18%	20.74%	68.08%	-1.85	-2.8	10
2001-05-17	@ Sonderjyske	W 1-0	44.4	1689	1384	68.08%	20.74%	11.18%	+1.85	+2.8	53
2001-05-17	Viborg	W 2-1	64.5	1616	1648	35.00%	29.46%	35.53%	-0.01	+7.9	40
2001-05-17	@ Aalborg	L 1-2	64.5	1648	1616	35.53%	29.46%	35.00%	+0.01	-7.9	43
2001-05-20	Aalborg	L 1-2	56.8	1494	1624	22.97%	28.04%	48.99%	-0.68	-5.7	24
2001-05-20	@ Herfolge	W 2-1	56.8	1624	1494	48.99%	28.04%	22.97%	+0.68	+5.7	43
2001-05-20	AB Copenhagen	L 1-2	69.2	1692	1587	53.19%	26.96%	19.84%	+0.91	-10.8	53
2001-05-20	@ Silkeborg	W 2-1	69.2	1587	1692	19.84%	26.96%	53.19%	-0.91	+10.8	32
2001-05-20	FC Copenhagen	L 0-3	49.8	1568	1703	22.56%	27.92%	49.53%	-0.71	-16.2	37
2001-05-20	@ Aarhus GF	W 3-0	49.8	1703	1568	49.53%	27.92%	22.56%	+0.71	+16.2	56
2001-05-20	Odense	D 1-1	67.1	1593	1605	37.79%	29.42%	32.79%	+0.12	-0.2	49
2001-05-20	@ Midtjylland	D 1-1	67.1	1605	1593	32.79%	29.42%	37.79%	-0.12	+0.2	43
2001-05-20	Sonderjyske	W 3-1	44.5	1640	1381	69.39%	20.04%	10.57%	+1.94	+4.4	46
2001-05-20	@ Viborg	L 1-3	44.5	1381	1640	10.57%	20.04%	69.39%	-1.94	-4.4	10
2001-05-21	Lyngby	L 1-2	70.4	1717	1524	62.90%	23.30%	13.80%	+1.50	-12.4	52
2001-05-21	@ Brondby	W 2-1	70.4	1524	1717	13.80%	23.30%	62.90%	-1.50	+12.4	43
2001-05-27	Aarhus GF	L 0-4	54.4	1605	1552	46.75%	28.48%	24.77%	+0.56	-37.0	43
2001-05-27	@ Odense	W 4-0	54.4	1552	1605	24.77%	28.48%	46.75%	-0.56	+37.0	40
2001-05-27	Brondby	L 0-1	60.8	1681	1705	36.17%	29.46%	34.37%	+0.04	-8.5	53
2001-05-27	@ Silkeborg	W 1-0	60.8	1705	1681	34.37%	29.46%	36.17%	-0.04	+8.5	55
2001-05-27	Herfolge	L 1-2	48.8	1377	1488	25.02%	28.53%	46.45%	-0.55	-6.1	10
2001-05-27	@ Sonderjyske	W 2-1	48.8	1488	1377	46.45%	28.53%	25.02%	+0.55	+6.1	27
2001-05-27	Lyngby	D 1-1	69.9	1719	1537	61.84%	23.78%	14.39%	+1.43	-2.4	57
2001-05-27	@ FC Copenhagen	D 1-1	69.9	1537	1719	14.39%	23.78%	61.84%	-1.43	+2.4	44
2001-05-27	Midtjylland	W 2-1	60.8	1630	1592	44.65%	28.81%	26.54%	+0.45	+6.4	46
2001-05-27	@ Aalborg	L 1-2	60.8	1592	1630	26.54%	28.81%	44.65%	-0.45	-6.4	49
2001-05-27	Viborg	W 2-0	56.3	1597	1645	32.83%	29.42%	37.75%	-0.12	+16.6	35
2001-05-27	@ AB Copenhagen	L 0-2	56.3	1645	1597	37.75%	29.42%	32.83%	+0.12	-16.6	46
2001-06-10	Aalborg	W 4-0	53.6	1589	1636	32.76%	29.42%	37.82%	-0.12	+31.5	43
2001-06-10	@ Aarhus GF	L 0-4	53.6	1636	1589	37.82%	29.42%	32.76%	+0.12	-31.5	46
2001-06-10	AB Copenhagen	L 0-3	46.5	1494	1614	24.08%	28.32%	47.61%	-0.61	-17.1	27
2001-06-10	@ Herfolge	W 3-0	46.5	1614	1494	47.61%	28.32%	24.08%	+0.61	+17.1	38
2001-06-10	Brondby	W 3-1	61.8	1717	1713	40.03%	29.30%	30.67%	+0.23	+12.4	60
2001-06-10	@ FC Copenhagen	L 1-3	61.8	1713	1717	30.67%	29.30%	40.03%	-0.23	-12.4	55
2001-06-10	Odense	L 1-3	57.8	1539	1568	35.37%	29.46%	35.16%	+0.00	-13.7	44
2001-06-10	@ Lyngby	W 3-1	57.8	1568	1539	35.16%	29.46%	35.37%	+0.00	+13.7	46
2001-06-10	Silkeborg	L 2-4	65.6	1628	1672	33.22%	29.43%	37.35%	-0.10	-11.7	46
2001-06-10	@ Viborg	W 4-2	65.6	1672	1628	37.35%	29.43%	33.22%	+0.10	+11.7	56
2001-06-10	Sonderjyske	W 6-0	36.7	1586	1371	65.19%	22.21%	12.60%	+1.65	+17.2	52
2001-06-10	@ Midtjylland	L 0-6	36.7	1371	1586	12.60%	22.21%	65.19%	-1.65	-17.2	10
2001-06-13	Aarhus GF	D 2-2	67.4	1354	1620	13.04%	22.63%	64.33%	-1.59	+1.9	11
2001-06-13	@ Sonderjyske	D 2-2	67.4	1620	1354	64.33%	22.63%	13.04%	+1.59	-1.9	44
2001-06-13	FC Copenhagen	L 0-1	55.1	1582	1729	21.40%	27.55%	51.04%	-0.79	-5.6	46
2001-06-13	@ Odense	W 1-0	55.1	1729	1582	51.04%	27.55%	21.40%	+0.79	+5.6	63
2001-06-13	Herfolge	L 1-2	68.9	1684	1477	64.38%	22.60%	13.01%	+1.60	-12.6	56
2001-06-13	@ Silkeborg	W 2-1	68.9	1477	1684	13.01%	22.60%	64.38%	-1.60	+12.6	30
2001-06-13	Lyngby	W 2-0	48.5	1605	1525	50.08%	27.79%	22.13%	+0.74	+11.0	49
2001-06-13	@ Aalborg	L 0-2	48.5	1525	1605	22.13%	27.79%	50.08%	-0.74	-11.0	44
2001-06-13	Midtjylland	D 1-1	68.0	1631	1603	43.34%	28.99%	27.68%	+0.39	-0.7	39
2001-06-13	@ AB Copenhagen	D 1-1	68.0	1603	1631	27.68%	28.99%	43.34%	-0.39	+0.7	53
2001-06-13	Viborg	W 2-1	60.5	1701	1616	50.67%	27.64%	21.68%	+0.77	+5.4	58
2001-06-13	@ Brondby	L 1-2	60.5	1616	1701	21.68%	27.64%	50.67%	-0.77	-5.4	46

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	2001-06-13	13.01%	Herfolge	1477	2	@ Silkeborg	1684	1
2	2001-05-21	13.80%	Lyngby	1524	2	@ Brondby	1717	1
3	2000-10-29	16.52%	@ Aarhus GF	1512	2	Brondby	1721	0
4	2000-11-19	16.78%	@ Sonderjyske	1424	4	Odense	1629	2
5	2000-11-27	17.58%	@ Herfolge	1518	3	Brondby	1711	2
6	2001-05-20	19.84%	AB Copenhagen	1587	2	@ Silkeborg	1692	1
7	2000-10-15	20.00%	@ Lyngby	1582	3	Brondby	1745	0
8	2001-03-11	20.50%	Odense	1603	2	@ Brondby	1700	1
9	2000-08-28	21.45%	Lyngby	1566	1	@ AB Copenhagen	1653	0
10	2000-09-10	21.77%	Herfolge	1550	3	@ AB Copenhagen	1633	1
11	2000-07-22	22.17%	Aarhus GF	1564	2	@ Brondby	1643	1
12	2000-11-05	22.29%	Aarhus GF	1536	4	@ Midtjylland	1614	1
13	2000-10-22	23.87%	@ Aarhus GF	1491	5	Lyngby	1613	2
14	2001-05-27	24.77%	Aarhus GF	1552	4	@ Odense	1605	0
15	2000-08-06	25.47%	Lyngby	1563	2	@ FC Copenhagen	1610	1
16	2000-08-27	25.53%	Midtjylland	1560	2	@ Odense	1606	1
17	2000-08-27	26.14%	@ FC Copenhagen	1593	2	Brondby	1694	1
18	2001-04-01	26.33%	FC Copenhagen	1665	2	@ Brondby	1704	1
19	2000-10-22	26.49%	Aalborg	1599	2	@ Viborg	1637	1
20	2001-04-16	26.55%	Midtjylland	1607	2	@ Viborg	1645	1
21	2001-05-06	26.90%	@ Odense	1586	1	Silkeborg	1680	0
22	2001-04-08	27.71%	@ Aarhus GF	1519	4	Odense	1607	1
23	2001-05-07	28.21%	@ Aarhus GF	1545	2	Midtjylland	1628	0
24	2000-11-06	28.66%	Odense	1613	1	@ Silkeborg	1633	0
25	2000-08-07	28.74%	Silkeborg	1624	2	@ Aalborg	1643	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	2000-08-13	39.48	Brondby	7	1631	30.93%	@ Silkeborg	1	1633	39.75%	29.32%
2	2001-05-27	37.03	Aarhus GF	4	1552	24.77%	@ Odense	0	1605	46.75%	28.48%
3	2001-06-10	31.51	@ Aarhus GF	4	1589	32.76%	Aalborg	0	1636	37.82%	29.42%
4	2000-10-15	31.34	@ Lyngby	3	1582	20.00%	Brondby	0	1745	52.97%	27.03%
5	2000-07-23	29.99	@ Midtjylland	4	1549	35.24%	Lyngby	0	1579	35.29%	29.46%
6	2000-08-06	28.58	@ Odense	4	1569	37.57%	Aarhus GF	0	1583	33.00%	29.43%
7	2001-04-16	28.43	@ AB Copenhagen	4	1576	37.83%	Lyngby	0	1588	32.76%	29.42%
8	2000-11-05	25.17	Aarhus GF	4	1536	22.29%	@ Midtjylland	1	1614	49.88%	27.84%
9	2000-09-18	24.68	Brondby	4	1707	43.92%	@ AB Copenhagen	0	1615	27.17%	28.91%
10	2000-08-04	24.67	Viborg	5	1610	35.88%	@ Herfolge	1	1575	34.66%	29.46%
11	2000-10-29	23.28	@ Aarhus GF	2	1512	16.52%	Brondby	0	1721	58.21%	25.27%
12	2000-08-19	22.58	@ Brondby	5	1671	54.07%	Herfolge	0	1558	19.23%	26.70%
13	2001-04-08	22.52	@ Aarhus GF	4	1519	27.71%	Odense	1	1607	43.30%	28.99%
14	2000-08-13	22.19	@ Aarhus GF	3	1554	36.89%	Midtjylland	0	1573	33.66%	29.45%
15	2000-10-22	21.10	@ Aarhus GF	5	1491	23.87%	Lyngby	2	1613	47.86%	28.27%
16	2000-10-01	20.74	@ Silkeborg	3	1606	40.00%	Lyngby	0	1603	30.69%	29.30%
17	2000-09-06	19.55	Lyngby	4	1577	34.75%	@ Aarhus GF	1	1551	35.79%	29.46%
18	2000-08-06	19.47	@ AB Copenhagen	4	1621	52.22%	Sonderjyske	0	1524	20.54%	27.24%
19	2000-07-23	19.28	@ FC Copenhagen	5	1600	46.38%	Sonderjyske	1	1549	25.08%	28.54%
20	2001-05-14	18.70	@ Silkeborg	3	1670	44.32%	Aalborg	0	1635	26.82%	28.86%
21	2000-10-15	18.27	Viborg	4	1619	54.16%	@ Sonderjyske	0	1446	19.17%	26.67%
22	2001-05-07	18.20	@ Aarhus GF	2	1545	28.21%	Midtjylland	0	1628	42.73%	29.06%
23	2000-09-10	18.00	Herfolge	3	1550	21.77%	@ AB Copenhagen	1	1633	50.56%	27.67%
24	2000-11-19	17.93	@ Sonderjyske	4	1424	16.78%	Odense	2	1629	57.79%	25.43%
25	2001-04-01	17.72	@ Aalborg	5	1611	49.38%	Aarhus GF	1	1537	22.67%	27.95%

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	2000-10-29	79.6	@ Aalborg	4	1609	36.10%	Silkeborg	4	1633	34.45%	29.46%
2	2001-04-16	75.1	@ Brondby	2	1708	62.19%	Herfolge	2	1522	14.19%	23.62%
3	2001-04-22	74.9	@ Aalborg	2	1620	27.84%	Brondby	2	1706	43.15%	29.01%
4	2000-11-12	74.2	@ FC Copenhagen	2	1648	42.95%	Silkeborg	2	1623	28.02%	29.03%
5	2000-11-27	74.2	@ Herfolge	3	1518	17.58%	Brondby	2	1711	56.53%	25.89%
6	2000-08-13	74.1	@ Aalborg	2	1634	38.64%	AB Copenhagen	2	1640	31.97%	29.38%
7	2000-10-23	74.1	@ Midtjylland	2	1614	33.23%	FC Copenhagen	2	1658	37.34%	29.43%
8	2001-04-16	74.0	@ Silkeborg	2	1670	55.82%	Aarhus GF	2	1542	18.04%	26.13%
9	2000-11-20	73.4	@ AB Copenhagen	2	1581	30.27%	FC Copenhagen	2	1648	40.46%	29.27%
10	2000-08-05	72.8	@ Midtjylland	2	1573	31.25%	Brondby	2	1632	39.40%	29.34%
11	2000-10-15	71.4	@ Aalborg	2	1600	48.20%	Herfolge	2	1535	23.60%	28.20%
12	2001-05-21	70.4	Lyngby	2	1524	13.80%	@ Brondby	1	1717	62.90%	23.30%
13	2000-11-26	70.2	Aalborg	3	1602	29.94%	@ Odense	2	1611	40.82%	29.24%
14	2001-05-27	69.9	@ FC Copenhagen	1	1719	61.84%	Lyngby	1	1537	14.39%	23.78%
15	2001-04-29	69.7	@ Brondby	1	1706	49.93%	Midtjylland	1	1627	22.25%	27.82%
16	2001-04-30	69.5	@ Silkeborg	1	1681	40.32%	FC Copenhagen	1	1675	30.40%	29.28%
17	2001-03-11	69.4	Odense	2	1603	20.50%	@ Brondby	1	1700	52.28%	27.22%
18	2001-05-17	69.4	@ AB Copenhagen	1	1585	22.76%	Brondby	1	1718	49.26%	27.98%
19	2001-05-20	69.2	AB Copenhagen	2	1587	19.84%	@ Silkeborg	1	1692	53.19%	26.96%
20	2000-11-12	69.0	@ Midtjylland	1	1589	24.80%	Brondby	1	1702	46.71%	28.48%
21	2001-06-13	68.9	Herfolge	2	1477	13.01%	@ Silkeborg	1	1684	64.38%	22.60%
22	2000-07-26	68.8	Aalborg	3	1630	35.65%	@ Herfolge	2	1597	34.89%	29.46%
23	2001-04-12	68.8	@ Aalborg	1	1621	32.07%	FC Copenhagen	1	1673	38.55%	29.39%
24	2001-03-11	68.7	@ FC Copenhagen	1	1659	46.21%	Aalborg	1	1610	25.22%	28.57%
25	2001-04-01	68.3	FC Copenhagen	2	1665	26.33%	@ Brondby	1	1704	44.90%	28.78%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2001-06-10	36.7	@ Midtjylland	6	1586	65.19%	Sonderjyske	0	1371	12.60%	22.21%
2	2001-04-08	38.4	@ Herfolge	3	1506	51.93%	Sonderjyske	0	1411	20.75%	27.32%
3	2001-05-06	39.3	Brondby	4	1704	68.84%	@ Sonderjyske	0	1391	10.82%	20.34%
4	2000-11-26	40.5	@ FC Copenhagen	4	1647	64.16%	Sonderjyske	0	1442	13.13%	22.71%
5	2000-10-15	42.7	Viborg	4	1619	54.16%	@ Sonderjyske	0	1446	19.17%	26.67%
6	2001-03-18	44.2	@ Aarhus GF	1	1532	53.91%	Sonderjyske	0	1421	19.34%	26.75%
7	2001-05-17	44.4	Silkeborg	1	1689	68.08%	@ Sonderjyske	0	1384	11.18%	20.74%
8	2001-05-20	44.5	@ Viborg	3	1640	69.39%	Sonderjyske	1	1381	10.57%	20.04%
9	2000-10-01	44.7	@ Brondby	6	1736	71.51%	Sonderjyske	1	1454	9.62%	18.87%
10	2000-10-15	44.7	@ FC Copenhagen	4	1641	56.40%	Aarhus GF	0	1508	17.66%	25.93%
11	2001-04-22	45.0	@ Odense	3	1579	61.97%	Sonderjyske	1	1395	14.31%	23.72%
12	2000-11-12	45.1	@ Aalborg	1	1609	61.63%	Sonderjyske	0	1428	14.50%	23.87%
13	2000-08-06	45.8	@ AB Copenhagen	4	1621	52.22%	Sonderjyske	0	1524	20.54%	27.24%
14	2001-03-11	46.1	@ Viborg	3	1663	56.63%	Herfolge	0	1528	17.52%	25.85%
15	2001-06-10	46.5	AB Copenhagen	3	1614	47.61%	@ Herfolge	0	1494	24.08%	28.32%
16	2001-04-29	47.5	@ Viborg	3	1641	51.88%	Lyngby	0	1547	20.79%	27.33%
17	2000-08-19	47.8	@ Brondby	5	1671	54.07%	Herfolge	0	1558	19.23%	26.70%
18	2000-10-01	48.0	@ Viborg	2	1608	51.28%	Aarhus GF	0	1519	21.23%	27.49%
19	2000-09-06	48.1	@ Midtjylland	5	1569	49.62%	Sonderjyske	1	1493	22.48%	27.89%
20	2001-04-22	48.3	@ Midtjylland	2	1617	51.71%	Herfolge	0	1524	20.91%	27.38%
21	2001-06-13	48.5	@ Aalborg	2	1605	50.08%	Lyngby	0	1525	22.13%	27.79%
22	2001-05-27	48.8	Herfolge	2	1488	46.45%	@ Sonderjyske	1	1377	25.02%	28.53%
23	2001-03-11	49.5	Lyngby	3	1580	51.38%	@ Sonderjyske	1	1430	21.16%	27.47%
24	2001-03-18	49.6	Silkeborg	2	1652	49.70%	@ Herfolge	0	1515	22.42%	27.88%
25	2001-05-20	49.8	FC Copenhagen	3	1703	49.53%	@ Aarhus GF	0	1568	22.56%	27.92%