1999-00 Superliga Season

198 games

Final

Champion

Herfolge

56 points · 1st Title

Relegated

Esbjerg

28 pts

Vejle BK · 32 pts

Biggest Overachiever

Herfolge

7.14 points above expected

56 points · 48.86 expected points

Biggest Disappointment

Vejle BK

9.89 points below expected

32 points · 41.89 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	Herfolge Champion	33	16	8	9	56	52	49	+3	48.86	+7.14
2	Brondby	33	15	9	9	54	56	37	+19	58.59	-4.59
3	AB Copenhagen	33	14	10	9	52	52	35	+17	50.03	+1.97
4	Viborg	33	15	7	11	52	56	50	+6	45.43	+6.57
5	Aalborg	33	12	13	8	49	57	40	+17	55.10	-6.10
6	Silkeborg	33	13	10	10	49	49	33	+16	51.24	-2.24
7	Lyngby	33	14	5	14	47	51	55	-4	44.50	+2.50
8	FC Copenhagen	33	12	8	13	44	44	37	+7	45.04	-1.04
9	Odense	33	11	10	12	43	42	44	-2	38.03	+4.97
10	Aarhus GF	33	9	9	15	36	36	55	-19	41.41	-5.41
11	Vejle BK Relegated	33	7	11	15	32	38	68	-30	41.89	-9.89
12	Esbjerg Relegated	33	8	4	21	28	40	70	-30	22.86	+5.14

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

Top Overachievers & Disappointments

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

Biggest Overachievers

#	Team	Actual	Sim	vsSim
1	Herfolge	56	48.86	+7.14
2	Viborg	52	45.43	+6.57
3	Esbjerg	28	22.86	+5.14
4	Odense	43	38.03	+4.97
5	Lyngby	47	44.50	+2.50

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Vejle BK	32	41.89	-9.89
2	Aalborg	49	55.10	-6.10
3	Aarhus GF	36	41.41	-5.41
4	Brondby	54	58.59	-4.59
5	Silkeborg	49	51.24	-2.24

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	Esbjerg	2	Oct 13 – Oct 17	1 in 44
2	Viborg	4	Aug 22 – Sep 19	1 in 43
3	Lyngby	3	Aug 30 – Sep 19	1 in 25
4	Aalborg	4	Aug 2 – Aug 21	1 in 20
5	Herfolge	4	Oct 31 – Nov 28	1 in 18

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Aarhus GF	4	Sep 19 – Oct 13	1 in 27
2	AB Copenhagen	3	Oct 31 – Nov 21	1 in 22
3	Odense	3	Jul 26 – Aug 8	1 in 21
4	Herfolge	3	Oct 13 – Oct 24	1 in 17
5	Lyngby	3	Aug 8 – Aug 22	1 in 14

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Herfolge	11	Jul 25 – Oct 6	1 in 121
2	Odense	7	Aug 29 – Oct 13	1 in 105
3	AB Copenhagen	9	Jul 25 – Sep 26	1 in 28
4	Esbjerg	3	Oct 13 – Oct 20	1 in 23
5	Aarhus GF	5	Oct 17 – Nov 22	1 in 22

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Aalborg	9	Nov 1 – Apr 9	1 in 464
2	Vejle BK	9	Oct 3 – Nov 28	1 in 60
3	Brondby	4	Nov 7 – Mar 12	1 in 34
4	Aarhus GF	10	Aug 21 – Nov 1	1 in 34
5	AB Copenhagen	6	Oct 24 – Mar 12	1 in 21

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
Herfolge	1610	56	+10	9	7.5	+1.5
Brondby	1695	54	-3	8	8.4	-0.4
AB Copenhagen	1653	52	+38	13	6.8	+6.2
Viborg	1618	52	+19	10	6.8	+3.2
Silkeborg	1645	49	+1	6	7.9	-1.9
Aalborg	1667	49	-17	4	8.4	-4.4
Lyngby	1575	47	-3	7	7.0	+0.0
FC Copenhagen	1613	44	-3	4	6.2	-2.2
Odense	1568	43	+0	7	6.5	+0.5
Aarhus GF	1543	36	-20	5	5.8	-0.8
Vejle BK	1543	32	-26	3	6.8	-3.8
Esbjerg	1412	28	-6	3	3.8	-0.8

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	ESB	FC	HER	LYN	ODE	SIL	VB	VIB
AB Copenhagen	—	1-2-0 3.36	1-1-1 5.04	2-0-1 3.56	1-1-1 6.36	1-0-2 4.64	2-1-0 4.51	2-1-0 4.82	1-1-1 4.76	1-1-1 4.18	0-2-1 4.51	2-0-1 4.17
Aalborg	0-2-1 4.85	—	1-2-0 5.51	2-0-1 3.96	1-2-0 6.53	1-2-0 4.56	2-0-1 4.38	0-1-2 5.15	1-1-1 5.31	2-1-0 4.67	1-2-0 5.05	1-0-2 5.24
Aarhus GF	1-1-1 3.17	0-2-1 2.76	—	0-0-3 2.52	3-0-0 5.92	2-0-1 3.94	0-2-1 3.86	1-0-2 3.51	0-1-2 4.61	1-0-2 3.04	1-1-1 4.28	0-2-1 3.52
Brondby	1-0-2 4.63	1-0-2 4.22	3-0-0 5.79	—	1-0-2 7.18	1-2-0 5.39	2-1-0 5.30	1-1-1 5.60	1-1-1 5.58	1-2-0 5.06	2-1-0 5.39	1-1-1 5.08
Esbjerg	1-1-1 2.04	0-2-1 1.89	0-0-3 2.40	2-0-1 1.39	—	1-0-2 2.03	0-0-3 2.00	1-0-2 2.19	1-0-2 2.79	0-0-3 1.83	1-1-1 2.65	1-0-2 2.29
FC Copenhagen	2-0-1 3.57	0-2-1 3.63	1-0-2 4.25	0-2-1 2.86	2-0-1 6.37	—	1-1-1 4.12	1-0-2 4.00	1-1-1 5.01	1-1-1 3.47	2-0-1 4.82	1-1-1 3.97
Herfolge	0-1-2 3.68	1-0-2 3.80	1-2-0 4.33	0-1-2 2.95	3-0-0 6.41	1-1-1 4.05	—	2-0-1 4.10	2-1-0 5.07	2-1-0 4.03	2-1-0 4.83	2-0-1 4.50
Lyngby	0-1-2 3.38	2-1-0 3.08	2-0-1 4.68	1-1-1 2.67	2-0-1 6.17	2-0-1 4.20	1-0-2 4.08	—	2-1-0 4.24	0-1-2 3.79	1-0-2 4.69	1-0-2 3.84
Odense	1-1-1 3.45	1-1-1 2.94	2-1-0 3.59	1-1-1 2.69	2-0-1 5.47	1-1-1 3.20	0-1-2 3.15	0-1-2 3.95	—	1-0-2 2.85	1-2-0 3.65	1-1-1 3.69
Silkeborg	1-1-1 4.00	0-1-2 3.54	2-0-1 5.19	0-2-1 3.16	3-0-0 6.62	1-1-1 4.73	0-1-2 4.16	2-1-0 4.40	2-0-1 5.41	—	1-1-1 4.55	1-2-0 4.83
Vejle BK	1-2-0 3.67	0-2-1 3.18	1-1-1 3.91	0-1-2 2.87	1-1-1 5.62	1-0-2 3.39	0-1-2 3.38	2-0-1 3.51	0-2-1 4.53	1-1-1 3.66	—	0-0-3 4.07
Viborg	1-0-2 4.01	2-0-1 2.99	1-2-0 4.67	1-1-1 3.15	2-0-1 6.04	1-1-1 4.21	1-0-2 3.69	2-0-1 4.35	1-1-1 4.50	0-2-1 3.37	3-0-0 4.12	—

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	0.75	+10.4
Allowed	0.57	-5.4
Differential	0.79	+4.5

Scoreline Distribution

Percentage of games ending with each combination of team-goals (rows) and opponent-goals (columns). The diagonal shows draws; cells below the diagonal are wins from the row team's perspective, cells above are losses. Marginal totals on the right and bottom show how often each goal count occurred regardless of opponent. Use the picker to switch between the league-wide view and any individual team.

View:

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.05%	6.82%	7.58%	3.03%	2.53%	0.51%	25.51%
1	6.82%	15.15%	6.06%	3.54%	2.02%	1.01%	34.60%
2	7.58%	6.06%	5.05%	2.53%	0.25%	0.51%	21.97%
3	3.03%	3.54%	2.53%	1.01%	0.25%	—	10.35%
4	2.53%	2.02%	0.25%	0.25%	—	0.25%	5.30%
5+	0.51%	1.01%	0.51%	—	0.25%	—	2.27%
Total	25.51%	34.60%	21.97%	10.35%	5.30%	2.27%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.45	1.45	+0.00
SD	1.33	1.33	2.01
CV	0.92	0.92	—
Max	7	7	+6
Min	0	0	-6

Games Played: 198

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	3.03%	6.06%	3.03%	—	—	18.18%
1	6.06%	12.12%	9.09%	3.03%	—	—	30.30%
2	15.15%	6.06%	12.12%	3.03%	—	—	36.36%
3	9.09%	3.03%	—	—	—	—	12.12%
4	—	—	—	—	—	—	—
5+	3.03%	—	—	—	—	—	3.03%
Total	39.39%	24.24%	27.27%	9.09%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.58	1.06	+0.52
SD	1.23	1.03	1.84
CV	0.78	0.97	—
Max	6	3	+6
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	12.12%	3.03%	6.06%	—	—	—	21.21%
1	6.06%	18.18%	6.06%	3.03%	—	—	33.33%
2	9.09%	3.03%	9.09%	3.03%	—	3.03%	27.27%
3	—	6.06%	—	—	—	—	6.06%
4	3.03%	3.03%	—	—	—	—	6.06%
5+	—	6.06%	—	—	—	—	6.06%
Total	30.30%	39.39%	21.21%	6.06%	—	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.73	1.21	+0.52
SD	1.74	1.36	2.18
CV	1.01	1.13	—
Max	7	7	+6
Min	0	0	-5

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	9.09%	9.09%	6.06%	6.06%	—	30.30%
1	12.12%	21.21%	6.06%	3.03%	3.03%	—	45.45%
2	3.03%	3.03%	3.03%	3.03%	—	—	12.12%
3	3.03%	—	3.03%	3.03%	—	—	9.09%
4	—	—	—	3.03%	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	18.18%	33.33%	21.21%	18.18%	9.09%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.09	1.67	-0.58
SD	1.04	1.24	1.68
CV	0.95	0.74	—
Max	4	4	+3
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	—	12.12%	3.03%	—	—	18.18%
1	9.09%	15.15%	3.03%	6.06%	—	—	33.33%
2	9.09%	3.03%	9.09%	3.03%	—	—	24.24%
3	6.06%	6.06%	—	—	—	—	12.12%
4	6.06%	3.03%	—	—	—	—	9.09%
5+	3.03%	—	—	—	—	—	3.03%
Total	36.36%	27.27%	24.24%	12.12%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.70	1.12	+0.58
SD	1.33	1.05	2.03
CV	0.79	0.94	—
Max	5	3	+5
Min	0	0	-3

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.21	2.12	-0.91
SD	1.34	1.63	1.94
CV	1.11	0.77	—
Max	6	7	+2
Min	0	0	-6

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	12.12%	9.09%	—	—	—	30.30%
1	6.06%	15.15%	12.12%	3.03%	3.03%	—	39.39%
2	6.06%	9.09%	—	—	—	—	15.15%
3	3.03%	3.03%	—	—	—	—	6.06%
4	3.03%	3.03%	—	—	—	—	6.06%
5+	—	—	3.03%	—	—	—	3.03%
Total	27.27%	42.42%	24.24%	3.03%	3.03%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.33	1.12	+0.21
SD	1.51	0.96	1.83
CV	1.14	0.86	—
Max	7	4	+5
Min	0	0	-3

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.58	1.48	+0.09
SD	1.25	1.12	1.84
CV	0.79	0.76	—
Max	4	5	+3
Min	0	0	-5

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.55	1.67	-0.12
SD	1.50	1.51	2.27
CV	0.97	0.91	—
Max	5	6	+4
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	15.15%	6.06%	3.03%	3.03%	—	30.30%
1	9.09%	18.18%	3.03%	3.03%	3.03%	—	36.36%
2	9.09%	6.06%	3.03%	—	—	—	18.18%
3	—	—	—	6.06%	—	—	6.06%
4	3.03%	3.03%	3.03%	—	—	—	9.09%
5+	—	—	—	—	—	—	—
Total	24.24%	42.42%	15.15%	12.12%	6.06%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.27	1.33	-0.06
SD	1.23	1.16	1.75
CV	0.97	0.87	—
Max	4	4	+4
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	9.09%	3.03%	—	—	—	21.21%
1	9.09%	18.18%	9.09%	—	6.06%	—	42.42%
2	6.06%	3.03%	3.03%	3.03%	—	—	15.15%
3	6.06%	3.03%	—	—	—	—	9.09%
4	9.09%	3.03%	—	—	—	—	12.12%
5+	—	—	—	—	—	—	—
Total	39.39%	36.36%	15.15%	3.03%	6.06%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.48	1.00	+0.48
SD	1.28	1.12	1.87
CV	0.86	1.12	—
Max	4	4	+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%	9.09%	—	30.30%
1	3.03%	24.24%	—	6.06%	—	6.06%	39.39%
2	—	9.09%	6.06%	3.03%	—	3.03%	21.21%
3	—	3.03%	—	—	—	—	3.03%
4	3.03%	3.03%	—	—	—	—	6.06%
5+	—	—	—	—	—	—	—
Total	9.09%	45.45%	15.15%	12.12%	9.09%	9.09%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.15	2.06	-0.91
SD	1.09	1.78	2.26
CV	0.95	0.87	—
Max	4	7	+4
Min	0	0	-6

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	3.03%	6.06%	—	—	3.03%	12.12%
1	6.06%	18.18%	6.06%	3.03%	3.03%	—	36.36%
2	9.09%	15.15%	3.03%	6.06%	3.03%	—	36.36%
3	3.03%	3.03%	3.03%	—	—	—	9.09%
4	3.03%	—	—	—	—	—	3.03%
5+	—	—	3.03%	—	—	—	3.03%
Total	21.21%	39.39%	21.21%	9.09%	6.06%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.70	1.52	+0.18
SD	1.33	1.37	2.08
CV	0.79	0.91	—
Max	7	6	+5
Min	0	0	-6

Games Played: 33

Season Summary

Every team's regular-season finish compared against 100,000 simulations. Click any column header to sort. Luck is the team's actual points minus the sim's mean — positive means the team beat the model. Percentile is where the actual result fell in the team's sim distribution (e.g. 90% = the team did this well or better in only 10% of sims).

Team	Elo	Points	Avg	Luck	Percentile	Min	5th	Q1	Median	Q3	95th	Max
Brondby	1695	54	58.59	-4.59	26.0%	44	47	54	58	63	71	78
Aalborg	1667	49	55.10	-6.10	18.0%	26	43	51	55	60	66	70
AB Copenhagen	1653	52	50.03	+1.97	59.0%	33	38	44	51	55	60	65
Silkeborg	1645	49	51.24	-2.24	46.0%	34	41	45	50	57	63	72
Viborg	1618	52	45.43	+6.57	85.0%	24	33	41	45	51	56	61
FC Copenhagen	1613	44	45.04	-1.04	51.0%	27	34	40	44	49	59	64
Herfolge	1610	56	48.86	+7.14	80.0%	25	36	43	48	54	64	67
Lyngby	1575	47	44.50	+2.50	67.0%	27	32	40	43	50	57	61
Odense	1568	43	38.03	+4.97	79.0%	25	27	33	38	43	49	57
Aarhus GF	1543	36	41.41	-5.41	21.0%	26	30	37	41	46	53	60
Vejle BK	1543	32	41.89	-9.89	10.0%	24	29	37	42	47	54	61
Esbjerg	1412	28	22.86	+5.14	84.0%	8	12	18	22	26	34	43

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

+17.17%

Clear Edge

45.45%26.26%28.28%

Elo Value

Home Edge

188 Elo

0.005 goals per Elo point

060.26500

Scoring Tilt

Expected

+0.46 goals

Neutral

-2+0.32+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

4.0

Open

134610

Champion Preseason Odds

Herfolge, 4th of 12

LongshotFavorite

Title Margin

Expected

0.06/gm

Tight Race

00.160.5/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 5.8 * Some Luck: 5.8 to 8.7 * Lucky: 8.7 to 11.6 * Wild Swing: 11.6 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 1.56 * Close: 1.56 to 2.34 * Off: 2.34 to 3.11 * Way Off: 3.11 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 0.73 * A Surprise: 0.73 to 1.17 * Several Surprises: 1.17 to 1.61 * Many Surprises: 1.61 and up.

Luck Spread

Expected

5.38 points

As Expected

07.2518

Average Finish Error

Expected

1.67

01.954

Biggest Overachiever

Expected 95.83%

85.00%

Viborg

50100

Biggest Underachiever

Expected 4.17%

10.00%

Vejle BK

050

Season Outliers

Expected

0 of 12

Minimal Outliers

01.26

Unexpected Relegations

Expected

1 of 2

A Surprise

00.72

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

0.10

Balanced

00.120.5

Noll-Scully

Elo SD: 75.11

1.19

Coin-Flip Parity

0.651.351.61.92.5

Interquartile Edge

62%

Slight Edge

50%59%69%100%

Best vs. Worst

Baseline

84%

Clear Edge

50%82%100%

Close Games

Expected

58%

Some Drama

0%54%100%

Blowouts

Expected

19%

Frequent

0%21%100%

Predictability

How these are measured

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

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

Brier Score

Expected

0.63

Hard to Predict

00.622

Matchup Imbalance

0.31

Slight Separation

00.280.370.5

Strangeness

Expected

0.55

Very Predictable

01.002

Repeatability

0.54

Strong Carryover

00.30.50.631

Upset Rate

Expected

28%

Upset-Prone

0%26%50%

Clear Favorite Upset Rate

Expected

22%

As Expected

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 0.18 * Above Noise: 0.18 to 0.24 * Well Above Noise: 0.24 and up.

Probability calibration

0.43

Well Calibrated

0.010.050.10.51

Calibration slope

Ideal

0.62

Overconfident

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.111

Well Within Noise

00.1220.3

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
Herfolge	9.00%	7.00%	13.00%	9.00%	15.00%	9.00%	12.00%	8.00%	4.00%	11.00%	3.00%	—
Brondby	41.00%	22.00%	17.00%	6.00%	6.00%	6.00%	2.00%	—	—	—	—	—
AB Copenhagen	9.00%	12.00%	14.00%	18.00%	9.00%	8.00%	13.00%	9.00%	4.00%	3.00%	1.00%	—
Viborg	2.00%	3.00%	7.00%	13.00%	12.00%	10.00%	11.00%	17.00%	7.00%	13.00%	5.00%	—
Aalborg	22.00%	23.00%	19.00%	13.00%	11.00%	4.00%	4.00%	—	2.00%	—	2.00%	—
Silkeborg	12.00%	13.00%	14.00%	14.00%	13.00%	15.00%	6.00%	4.00%	4.00%	3.00%	2.00%	—
Lyngby	1.00%	5.00%	5.00%	10.00%	9.00%	10.00%	18.00%	13.00%	10.00%	7.00%	11.00%	1.00%
FC Copenhagen	3.00%	7.00%	4.00%	8.00%	10.00%	14.00%	8.00%	9.00%	13.00%	15.00%	9.00%	—
Odense	—	2.00%	2.00%	2.00%	3.00%	4.00%	8.00%	14.00%	16.00%	16.00%	28.00%	5.00%
Aarhus GF	—	3.00%	3.00%	3.00%	5.00%	10.00%	6.00%	13.00%	24.00%	11.00%	20.00%	2.00%
Vejle BK	1.00%	3.00%	2.00%	4.00%	7.00%	10.00%	11.00%	12.00%	16.00%	17.00%	13.00%	4.00%
Esbjerg	—	—	—	—	—	—	1.00%	1.00%	—	4.00%	6.00%	88.00%

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%	—
AB Copenhagen	99.00%	1.00%
Aalborg	98.00%	2.00%
Silkeborg	98.00%	2.00%
Herfolge	97.00%	3.00%
Viborg	95.00%	5.00%
FC Copenhagen	91.00%	9.00%
Lyngby	88.00%	12.00%
Vejle BK	83.00%	17.00%
Aarhus GF	78.00%	22.00%
Odense	67.00%	33.00%
Esbjerg	6.00%	94.00%

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
1999-07-24	Lyngby	W 1-0	53.3	1693	1593	57.72%	23.25%	19.03%	+0.85	+2.1	3
1999-07-24	@ Brondby	L 0-1	53.3	1593	1693	19.03%	23.25%	57.72%	-0.85	-2.1	0
1999-07-25	Aarhus GF	W 1-0	54.6	1611	1585	48.14%	26.41%	25.45%	+0.46	+2.8	3
1999-07-25	@ AB Copenhagen	L 0-1	54.6	1585	1611	25.45%	26.41%	48.14%	-0.46	-2.8	0
1999-07-25	Aalborg	W 3-1	61.7	1605	1658	37.03%	27.85%	35.12%	+0.04	+5.9	3
1999-07-25	@ Herfolge	L 1-3	61.7	1658	1605	35.12%	27.85%	37.03%	-0.04	-5.9	0
1999-07-25	Silkeborg	L 0-4	55.3	1610	1618	43.55%	27.30%	29.15%	+0.28	-15.2	0
1999-07-25	@ Vejle BK	W 4-0	55.3	1618	1610	29.15%	27.30%	43.55%	-0.28	+15.2	3
1999-07-25	FC Copenhagen	W 2-1	61.5	1593	1606	42.82%	27.41%	29.77%	+0.25	+3.0	3
1999-07-25	@ Viborg	L 1-2	61.5	1606	1593	29.77%	27.41%	42.82%	-0.25	-3.0	0
1999-07-26	Odense	W 2-0	51.3	1407	1563	24.39%	26.05%	49.56%	-0.51	+8.8	3
1999-07-26	@ Esbjerg	L 0-2	51.3	1563	1407	49.56%	26.05%	24.39%	+0.51	-8.8	0
1999-08-01	Herfolge	D 1-1	67.9	1582	1611	40.63%	27.65%	31.72%	+0.17	-0.2	1
1999-08-01	@ Aarhus GF	D 1-1	67.9	1611	1582	31.72%	27.65%	40.63%	-0.17	+0.2	4
1999-08-01	Esbjerg	W 5-1	41.4	1591	1416	66.73%	19.01%	14.26%	+1.26	+4.5	3
1999-08-01	@ Lyngby	L 1-5	41.4	1416	1591	14.26%	19.01%	66.73%	-1.26	-4.5	3
1999-08-01	AB Copenhagen	L 0-3	52.5	1555	1614	36.26%	27.86%	35.88%	+0.01	-10.2	0
1999-08-01	@ Odense	W 3-0	52.5	1614	1555	35.88%	27.86%	36.26%	-0.01	+10.2	6
1999-08-01	FC Copenhagen	D 0-0	64.9	1633	1603	48.79%	26.25%	24.96%	+0.48	-0.5	4
1999-08-01	@ Silkeborg	D 0-0	64.9	1603	1633	24.96%	26.25%	48.79%	-0.48	+0.5	1
1999-08-01	Brondby	L 0-4	52.5	1595	1695	30.72%	27.54%	41.74%	-0.21	-11.7	0
1999-08-01	@ Vejle BK	W 4-0	52.5	1695	1595	41.74%	27.54%	30.72%	+0.21	+11.7	6
1999-08-02	Viborg	W 2-0	51.3	1652	1596	52.27%	25.25%	22.48%	+0.62	+4.7	3
1999-08-02	@ Aalborg	L 0-2	51.3	1596	1652	22.48%	25.25%	52.27%	-0.62	-4.7	3
1999-08-06	Aalborg	L 0-2	56.7	1603	1657	36.96%	27.85%	35.18%	+0.03	-7.1	1
1999-08-06	@ FC Copenhagen	W 2-0	56.7	1657	1603	35.18%	27.85%	36.96%	-0.03	+7.1	6
1999-08-08	Lyngby	W 3-0	49.9	1624	1596	48.44%	26.34%	25.22%	+0.47	+7.6	9
1999-08-08	@ AB Copenhagen	L 0-3	49.9	1596	1624	25.22%	26.34%	48.44%	-0.47	-7.6	3
1999-08-08	Silkeborg	W 1-0	54.9	1707	1633	54.53%	24.48%	20.99%	+0.72	+2.3	9
1999-08-08	@ Brondby	L 0-1	54.9	1633	1707	20.99%	24.48%	54.53%	-0.72	-2.3	4
1999-08-08	Odense	W 1-0	51.9	1611	1544	53.53%	24.83%	21.63%	+0.67	+2.4	7
1999-08-08	@ Herfolge	L 0-1	51.9	1544	1611	21.63%	24.83%	53.53%	-0.67	-2.4	0
1999-08-08	Aarhus GF	D 1-1	67.7	1591	1582	45.86%	26.91%	27.24%	+0.37	-0.4	4
1999-08-08	@ Viborg	D 1-1	67.7	1582	1591	27.24%	26.91%	45.86%	-0.37	+0.4	2
1999-08-09	Vejle BK	D 1-1	62.2	1411	1583	22.93%	25.45%	51.62%	-0.60	+0.6	4
1999-08-09	@ Esbjerg	D 1-1	62.2	1583	1411	51.62%	25.45%	22.93%	+0.60	-0.6	1
1999-08-15	Silkeborg	W 2-1	61.2	1664	1630	49.27%	26.12%	24.61%	+0.50	+2.6	9
1999-08-15	@ Aalborg	L 1-2	61.2	1630	1664	24.61%	26.12%	49.27%	-0.50	-2.6	4
1999-08-15	Esbjerg	W 3-1	45.8	1709	1412	78.85%	12.30%	8.85%	+1.90	+1.4	12
1999-08-15	@ Brondby	L 1-3	45.8	1412	1709	8.85%	12.30%	78.85%	-1.90	-1.4	4
1999-08-15	Herfolge	L 1-2	65.0	1588	1613	41.10%	27.61%	31.29%	+0.19	-3.8	3
1999-08-15	@ Lyngby	W 2-1	65.0	1613	1588	31.29%	27.61%	41.10%	-0.19	+3.8	10
1999-08-15	Viborg	D 1-1	66.3	1542	1591	37.74%	27.83%	34.43%	+0.06	-0.1	1
1999-08-15	@ Odense	D 1-1	66.3	1591	1542	34.43%	27.83%	37.74%	-0.06	+0.1	5
1999-08-15	AB Copenhagen	D 0-0	64.0	1583	1631	37.75%	27.83%	34.42%	+0.06	-0.1	2
1999-08-15	@ Vejle BK	D 0-0	64.0	1631	1583	34.42%	27.83%	37.75%	-0.06	+0.1	10
1999-08-16	FC Copenhagen	W 1-0	55.8	1582	1596	42.72%	27.42%	29.86%	+0.25	+3.2	5
1999-08-16	@ Aarhus GF	L 0-1	55.8	1596	1582	29.86%	27.42%	42.72%	-0.25	-3.2	1
1999-08-21	Aarhus GF	W 1-0	53.5	1667	1586	55.42%	24.16%	20.42%	+0.75	+2.3	12
1999-08-21	@ Aalborg	L 0-1	53.5	1586	1667	20.42%	24.16%	55.42%	-0.75	-2.3	5
1999-08-21	Brondby	W 2-0	58.2	1631	1710	33.45%	27.79%	38.76%	-0.10	+7.3	13
1999-08-21	@ AB Copenhagen	L 0-2	58.2	1710	1631	38.76%	27.79%	33.45%	+0.10	-7.3	12
1999-08-22	Vejle BK	D 1-1	68.5	1617	1583	49.32%	26.11%	24.57%	+0.50	-0.5	11
1999-08-22	@ Herfolge	D 1-1	68.5	1583	1617	24.57%	26.11%	49.32%	-0.50	+0.5	3
1999-08-22	Esbjerg	W 4-0	37.2	1628	1410	71.22%	16.61%	12.17%	+1.48	+4.5	7
1999-08-22	@ Silkeborg	L 0-4	37.2	1410	1628	12.17%	16.61%	71.22%	-1.48	-4.5	4
1999-08-22	Lyngby	W 2-0	51.8	1591	1584	45.50%	26.97%	27.52%	+0.35	+5.7	8
1999-08-22	@ Viborg	L 0-2	51.8	1584	1591	27.52%	26.97%	45.50%	-0.35	-5.7	3
1999-08-23	Odense	W 1-0	52.0	1593	1542	51.51%	25.49%	23.01%	+0.59	+2.6	4
1999-08-23	@ FC Copenhagen	L 0-1	52.0	1542	1593	23.01%	25.49%	51.51%	-0.59	-2.5	1
1999-08-29	Herfolge	D 2-2	76.7	1703	1617	56.09%	23.90%	20.01%	+0.78	-0.6	13
1999-08-29	@ Brondby	D 2-2	76.7	1617	1703	20.01%	23.90%	56.09%	-0.78	+0.6	12
1999-08-29	AB Copenhagen	L 0-1	46.6	1406	1639	18.12%	22.58%	59.31%	-0.92	-2.0	4
1999-08-29	@ Esbjerg	W 1-0	46.6	1639	1406	59.31%	22.58%	18.12%	+0.92	+2.0	16
1999-08-29	Aalborg	D 2-2	74.0	1539	1669	27.21%	26.90%	45.88%	-0.37	+0.3	2
1999-08-29	@ Odense	D 2-2	74.0	1669	1539	45.88%	26.90%	27.21%	+0.37	-0.3	13
1999-08-29	Aarhus GF	W 2-0	51.0	1632	1583	51.22%	25.58%	23.21%	+0.58	+4.8	10
1999-08-29	@ Silkeborg	L 0-2	51.0	1583	1632	23.21%	25.58%	51.22%	-0.58	-4.9	5
1999-08-29	Viborg	L 2-3	70.0	1583	1596	42.77%	27.41%	29.81%	+0.25	-3.7	3
1999-08-29	@ Vejle BK	W 3-2	70.0	1596	1583	29.81%	27.41%	42.77%	-0.25	+3.8	11
1999-08-30	FC Copenhagen	W 1-0	55.8	1579	1595	42.29%	27.48%	30.24%	+0.23	+3.2	6
1999-08-30	@ Lyngby	L 0-1	55.8	1595	1579	30.24%	27.48%	42.29%	-0.23	-3.2	4
1999-09-10	Lyngby	L 0-2	61.1	1669	1582	56.14%	23.88%	19.98%	+0.78	-9.8	13
1999-09-10	@ Aalborg	W 2-0	61.1	1582	1669	19.98%	23.88%	56.14%	-0.78	+9.8	9
1999-09-12	Odense	D 3-3	76.0	1579	1540	49.91%	25.95%	24.14%	+0.53	-0.3	6
1999-09-12	@ Aarhus GF	D 3-3	76.0	1540	1579	24.14%	25.95%	49.91%	-0.53	+0.3	3
1999-09-12	Silkeborg	D 1-1	69.7	1641	1637	45.14%	27.04%	27.82%	+0.34	-0.4	17
1999-09-12	@ AB Copenhagen	D 1-1	69.7	1637	1641	27.82%	27.04%	45.14%	-0.34	+0.3	11
1999-09-12	Vejle BK	W 1-0	54.5	1592	1579	46.38%	26.80%	26.82%	+0.39	+2.9	7
1999-09-12	@ FC Copenhagen	L 0-1	54.5	1579	1592	26.82%	26.80%	46.38%	-0.39	-2.9	3
1999-09-12	Brondby	W 2-0	58.7	1600	1702	30.42%	27.50%	42.08%	-0.22	+7.8	14
1999-09-12	@ Viborg	L 0-2	58.7	1702	1600	42.08%	27.50%	30.42%	+0.22	-7.8	13
1999-09-13	Esbjerg	W 2-0	39.3	1617	1404	70.79%	16.84%	12.36%	+1.46	+2.4	15
1999-09-13	@ Herfolge	L 0-2	39.3	1404	1617	12.36%	16.84%	70.79%	-1.46	-2.4	4
1999-09-19	Herfolge	D 2-2	75.1	1640	1620	47.48%	26.56%	25.96%	+0.43	-0.3	18
1999-09-19	@ AB Copenhagen	D 2-2	75.1	1620	1640	25.96%	26.56%	47.48%	-0.43	+0.3	16
1999-09-19	Viborg	L 1-2	51.5	1401	1608	20.05%	23.92%	56.03%	-0.78	-2.1	4
1999-09-19	@ Esbjerg	W 2-1	51.5	1608	1401	56.03%	23.92%	20.05%	+0.78	+2.1	17
1999-09-19	Aarhus GF	W 3-1	56.9	1592	1578	46.48%	26.78%	26.74%	+0.39	+4.8	12
1999-09-19	@ Lyngby	L 1-3	56.9	1578	1592	26.74%	26.78%	46.48%	-0.39	-4.8	6
1999-09-19	Odense	L 0-1	62.8	1637	1540	57.45%	23.36%	19.19%	+0.84	-5.3	11
1999-09-19	@ Silkeborg	W 1-0	62.8	1540	1637	19.19%	23.36%	57.45%	-0.84	+5.3	6
1999-09-19	Aalborg	D 2-2	74.3	1576	1659	32.97%	27.76%	39.27%	-0.12	+0.1	4
1999-09-19	@ Vejle BK	D 2-2	74.3	1659	1576	39.27%	27.76%	32.97%	+0.12	-0.1	14
1999-09-20	FC Copenhagen	W 3-1	55.9	1695	1595	57.73%	23.24%	19.02%	+0.85	+3.4	16
1999-09-20	@ Brondby	L 1-3	55.9	1595	1695	19.02%	23.24%	57.73%	-0.85	-3.4	7
1999-09-26	Brondby	W 3-1	62.2	1659	1698	39.10%	27.77%	33.13%	+0.11	+5.7	17
1999-09-26	@ Aalborg	L 1-3	62.2	1698	1659	33.13%	27.77%	39.10%	-0.11	-5.7	16
1999-09-26	Vejle BK	L 1-2	64.5	1573	1577	44.19%	27.20%	28.61%	+0.30	-4.0	6
1999-09-26	@ Aarhus GF	W 2-1	64.5	1577	1573	28.61%	27.20%	44.19%	-0.30	+4.1	7
1999-09-26	Esbjerg	W 3-0	36.8	1592	1399	68.55%	18.05%	13.40%	+1.34	+3.8	10
1999-09-26	@ FC Copenhagen	L 0-3	36.8	1399	1592	13.40%	18.05%	68.55%	-1.34	-3.8	4
1999-09-26	Lyngby	D 0-0	62.3	1545	1596	37.38%	27.84%	34.78%	+0.05	-0.1	7
1999-09-26	@ Odense	D 0-0	62.3	1596	1545	34.78%	27.84%	37.38%	-0.05	+0.0	13
1999-09-26	AB Copenhagen	L 1-3	63.0	1610	1640	40.40%	27.67%	31.92%	+0.16	-6.5	17
1999-09-26	@ Viborg	W 3-1	63.0	1640	1610	31.92%	27.67%	40.40%	-0.16	+6.5	21
1999-09-27	Silkeborg	W 3-2	67.6	1620	1632	42.92%	27.39%	29.69%	+0.26	+2.8	19
1999-09-27	@ Herfolge	L 2-3	67.6	1632	1620	29.69%	27.39%	42.92%	-0.26	-2.8	11
1999-10-03	FC Copenhagen	L 1-2	68.3	1647	1596	51.53%	25.48%	22.99%	+0.59	-4.6	21
1999-10-03	@ AB Copenhagen	W 2-1	68.3	1596	1647	22.99%	25.48%	51.53%	-0.59	+4.6	13
1999-10-03	Aarhus GF	W 3-0	47.1	1692	1569	60.60%	22.00%	17.39%	+0.98	+5.2	19
1999-10-03	@ Brondby	L 0-3	47.1	1569	1692	17.39%	22.00%	60.60%	-0.98	-5.2	6
1999-10-03	Viborg	W 2-1	60.7	1623	1603	47.27%	26.61%	26.12%	+0.42	+2.7	22
1999-10-03	@ Herfolge	L 1-2	60.7	1603	1623	26.12%	26.61%	47.27%	-0.42	-2.7	17
1999-10-03	Silkeborg	L 1-3	62.5	1597	1629	40.02%	27.70%	32.27%	+0.15	-6.5	13
1999-10-03	@ Lyngby	W 3-1	62.5	1629	1597	32.27%	27.70%	40.02%	-0.15	+6.5	14
1999-10-03	Odense	D 1-1	66.6	1581	1545	49.45%	26.08%	24.48%	+0.51	-0.5	8
1999-10-03	@ Vejle BK	D 1-1	66.6	1545	1581	24.48%	26.08%	49.45%	-0.51	+0.5	8
1999-10-06	AB Copenhagen	D 2-2	75.8	1665	1642	47.73%	26.51%	25.77%	+0.44	-0.3	18
1999-10-06	@ Aalborg	D 2-2	75.8	1642	1665	25.77%	26.51%	47.73%	-0.44	+0.3	22
1999-10-06	Herfolge	L 0-1	60.2	1600	1625	41.06%	27.61%	31.33%	+0.19	-4.1	13
1999-10-06	@ FC Copenhagen	W 1-0	60.2	1625	1600	31.33%	27.61%	41.06%	-0.19	+4.1	25
1999-10-06	Vejle BK	W 5-1	53.0	1590	1580	45.99%	26.88%	27.13%	+0.37	+8.8	16
1999-10-06	@ Lyngby	L 1-5	53.0	1580	1590	27.13%	26.88%	45.99%	-0.37	-8.8	8
1999-10-06	Brondby	W 2-1	67.8	1546	1698	24.87%	26.22%	48.91%	-0.49	+4.4	11
1999-10-06	@ Odense	L 1-2	67.8	1698	1546	48.91%	26.22%	24.87%	+0.49	-4.4	19
1999-10-06	Viborg	D 1-1	69.3	1636	1601	49.39%	26.09%	24.52%	+0.51	-0.5	15
1999-10-06	@ Silkeborg	D 1-1	69.3	1601	1636	24.52%	26.09%	49.39%	-0.51	+0.5	18
1999-10-13	Herfolge	W 4-0	50.3	1664	1630	49.37%	26.10%	24.53%	+0.51	+9.7	21
1999-10-13	@ Aalborg	L 0-4	50.3	1630	1664	24.53%	26.10%	49.37%	-0.51	-9.7	25
1999-10-13	Brondby	L 0-2	53.4	1564	1693	27.28%	26.92%	45.81%	-0.37	-5.6	6
1999-10-13	@ Aarhus GF	W 2-0	53.4	1693	1564	45.81%	26.92%	27.28%	+0.37	+5.6	22
1999-10-13	Esbjerg	L 1-2	66.1	1642	1396	74.19%	14.96%	10.86%	+1.63	-5.9	22
1999-10-13	@ AB Copenhagen	W 2-1	66.1	1396	1642	10.86%	14.96%	74.19%	-1.63	+6.0	7
1999-10-13	Odense	D 1-1	67.3	1596	1550	50.84%	25.69%	23.47%	+0.56	-0.6	14
1999-10-13	@ FC Copenhagen	D 1-1	67.3	1550	1596	23.47%	25.69%	50.84%	-0.56	+0.6	12
1999-10-13	Vejle BK	D 2-2	74.6	1635	1571	53.21%	24.94%	21.85%	+0.66	-0.5	16
1999-10-13	@ Silkeborg	D 2-2	74.6	1571	1635	21.85%	24.94%	53.21%	-0.66	+0.5	9
1999-10-13	Lyngby	L 0-2	57.7	1601	1599	44.96%	27.07%	27.97%	+0.33	-8.2	18
1999-10-13	@ Viborg	W 2-0	57.7	1599	1601	27.97%	27.07%	44.96%	-0.33	+8.2	19
1999-10-17	Viborg	W 4-1	53.2	1699	1593	58.50%	22.92%	18.57%	+0.88	+4.7	25
1999-10-17	@ Brondby	L 1-4	53.2	1593	1699	18.57%	22.92%	58.50%	-0.88	-4.7	18
1999-10-17	FC Copenhagen	W 2-0	53.3	1401	1595	21.05%	24.52%	54.44%	-0.71	+9.5	10
1999-10-17	@ Esbjerg	L 0-2	53.3	1595	1401	54.44%	24.52%	21.05%	+0.71	-9.5	14
1999-10-17	Aalborg	W 3-2	70.4	1607	1674	35.12%	27.85%	37.03%	-0.04	+3.4	22
1999-10-17	@ Lyngby	L 2-3	70.4	1674	1607	37.03%	27.85%	35.12%	+0.04	-3.4	21
1999-10-17	Silkeborg	L 0-4	51.3	1551	1635	32.78%	27.74%	39.48%	-0.13	-12.3	12
1999-10-17	@ Odense	W 4-0	51.3	1635	1551	39.48%	27.74%	32.78%	+0.13	+12.3	19
1999-10-17	Aarhus GF	D 1-1	66.5	1572	1559	46.44%	26.79%	26.77%	+0.39	-0.4	10
1999-10-17	@ Vejle BK	D 1-1	66.5	1559	1572	26.77%	26.79%	46.44%	-0.39	+0.4	7
1999-10-18	AB Copenhagen	L 1-2	66.4	1620	1636	42.30%	27.47%	30.23%	+0.23	-3.9	25
1999-10-18	@ Herfolge	W 2-1	66.4	1636	1620	30.23%	27.47%	42.30%	-0.23	+3.9	25
1999-10-20	Aalborg	D 0-0	62.4	1411	1671	16.37%	21.11%	62.52%	-1.06	+1.1	11
1999-10-20	@ Esbjerg	D 0-0	62.4	1671	1411	62.52%	21.11%	16.37%	+1.06	-1.1	22
1999-10-24	Brondby	W 3-1	62.2	1670	1704	39.82%	27.72%	32.46%	+0.14	+5.6	25
1999-10-24	@ Aalborg	L 1-3	62.2	1704	1670	32.46%	27.72%	39.82%	-0.14	-5.6	25
1999-10-24	Lyngby	D 2-2	75.1	1640	1610	48.71%	26.27%	25.02%	+0.48	-0.4	26
1999-10-24	@ AB Copenhagen	D 2-2	75.1	1610	1640	25.02%	26.27%	48.71%	-0.48	+0.4	23
1999-10-24	Herfolge	W 2-0	54.0	1586	1616	40.41%	27.67%	31.92%	+0.16	+6.4	17
1999-10-24	@ FC Copenhagen	L 0-2	54.0	1616	1586	31.92%	27.67%	40.41%	-0.16	-6.4	25
1999-10-24	Vejle BK	D 1-1	65.6	1538	1571	39.98%	27.71%	32.31%	+0.15	-0.2	13
1999-10-24	@ Odense	D 1-1	65.6	1571	1538	32.31%	27.71%	39.98%	-0.15	+0.1	11
1999-10-24	Aarhus GF	D 1-1	67.2	1588	1559	48.64%	26.29%	25.08%	+0.48	-0.5	19
1999-10-24	@ Viborg	D 1-1	67.2	1559	1588	25.08%	26.29%	48.64%	-0.48	+0.5	8
1999-10-25	Esbjerg	W 2-0	40.0	1647	1412	73.01%	15.62%	11.37%	+1.57	+2.2	22
1999-10-25	@ Silkeborg	L 0-2	40.0	1412	1647	11.37%	15.62%	73.01%	-1.57	-2.1	11
1999-10-31	AB Copenhagen	W 3-0	50.5	1698	1640	52.45%	25.19%	22.36%	+0.63	+6.8	28
1999-10-31	@ Brondby	L 0-3	50.5	1640	1698	22.36%	25.19%	52.45%	-0.63	-6.8	26
1999-10-31	Odense	L 0-2	44.1	1410	1538	27.37%	26.94%	45.70%	-0.36	-5.6	11
1999-10-31	@ Esbjerg	W 2-0	44.1	1538	1410	45.70%	26.94%	27.37%	+0.36	+5.6	16
1999-10-31	Silkeborg	W 4-1	58.6	1610	1649	39.03%	27.77%	33.20%	+0.11	+8.0	28
1999-10-31	@ Herfolge	L 1-4	58.6	1649	1610	33.20%	27.77%	39.03%	-0.11	-8.0	22
1999-10-31	FC Copenhagen	L 0-4	55.7	1611	1592	47.17%	26.63%	26.20%	+0.42	-16.2	23
1999-10-31	@ Lyngby	W 4-0	55.7	1592	1611	26.20%	26.63%	47.17%	-0.42	+16.2	20
1999-10-31	Viborg	L 0-2	56.0	1572	1588	42.34%	27.47%	30.19%	+0.23	-7.8	11
1999-10-31	@ Vejle BK	W 2-0	56.0	1588	1572	30.19%	27.47%	42.34%	-0.23	+7.8	22
1999-11-01	Aalborg	D 1-1	68.9	1559	1675	28.82%	27.24%	43.94%	-0.29	+0.3	9
1999-11-01	@ Aarhus GF	D 1-1	68.9	1675	1559	43.94%	27.24%	28.82%	+0.29	-0.3	26
1999-11-07	Aarhus GF	L 2-3	72.9	1633	1560	54.43%	24.52%	21.05%	+0.71	-4.5	26
1999-11-07	@ AB Copenhagen	W 3-2	72.9	1560	1633	21.05%	24.52%	54.43%	-0.71	+4.5	12
1999-11-07	Vejle BK	W 3-1	56.8	1404	1564	24.14%	25.95%	49.91%	-0.53	+7.7	14
1999-11-07	@ Esbjerg	L 1-3	56.8	1564	1404	49.91%	25.95%	24.14%	+0.53	-7.7	11
1999-11-07	Brondby	D 1-1	70.0	1608	1705	31.16%	27.59%	41.24%	-0.19	+0.2	21
1999-11-07	@ FC Copenhagen	D 1-1	70.0	1705	1608	41.24%	27.59%	31.16%	+0.19	-0.2	29
1999-11-07	Herfolge	L 0-1	56.8	1544	1618	34.18%	27.82%	38.00%	-0.07	-3.5	16
1999-11-07	@ Odense	W 1-0	56.8	1618	1544	38.00%	27.82%	34.18%	+0.07	+3.5	31
1999-11-07	Lyngby	W 3-0	49.5	1641	1595	50.93%	25.66%	23.41%	+0.57	+7.1	25
1999-11-07	@ Silkeborg	L 0-3	49.5	1595	1641	23.41%	25.66%	50.93%	-0.57	-7.1	23
1999-11-08	Viborg	L 1-2	69.5	1675	1596	55.16%	24.25%	20.59%	+0.74	-4.8	26
1999-11-08	@ Aalborg	W 2-1	69.5	1596	1675	20.59%	24.25%	55.16%	-0.74	+4.8	25
1999-11-21	Silkeborg	D 0-0	66.8	1705	1648	52.23%	25.26%	22.51%	+0.62	-0.7	30
1999-11-21	@ Brondby	D 0-0	66.8	1648	1705	22.51%	25.26%	52.23%	-0.62	+0.7	26
1999-11-21	Esbjerg	W 3-2	53.2	1621	1412	70.34%	17.09%	12.57%	+1.43	+1.2	34
1999-11-21	@ Herfolge	L 2-3	53.2	1412	1621	12.57%	17.09%	70.34%	-1.43	-1.2	14
1999-11-21	Odense	W 2-0	48.9	1588	1540	51.02%	25.63%	23.34%	+0.57	+4.9	26
1999-11-21	@ Lyngby	L 0-2	48.9	1540	1588	23.34%	25.63%	51.02%	-0.57	-4.9	16
1999-11-21	Aalborg	D 1-1	68.7	1556	1670	29.01%	27.28%	43.71%	-0.29	+0.3	12
1999-11-21	@ Vejle BK	D 1-1	68.7	1670	1556	43.71%	27.28%	29.01%	+0.29	-0.3	27
1999-11-21	AB Copenhagen	W 2-1	62.8	1601	1629	40.67%	27.65%	31.68%	+0.17	+3.2	28
1999-11-21	@ Viborg	L 1-2	62.8	1629	1601	31.68%	27.65%	40.67%	-0.17	-3.2	26
1999-11-22	FC Copenhagen	W 1-0	57.0	1564	1609	38.36%	27.81%	33.84%	+0.08	+3.5	15
1999-11-22	@ Aarhus GF	L 0-1	57.0	1609	1564	33.84%	27.81%	38.36%	-0.08	-3.5	21
1999-11-27	Brondby	D 1-1	69.5	1535	1704	23.27%	25.60%	51.13%	-0.58	+0.6	17
1999-11-27	@ Odense	D 1-1	69.5	1704	1535	51.13%	25.60%	23.27%	+0.58	-0.6	31
1999-11-28	Aalborg	D 1-1	69.7	1626	1670	38.38%	27.81%	33.82%	+0.09	-0.1	27
1999-11-28	@ AB Copenhagen	D 1-1	69.7	1670	1626	33.82%	27.81%	38.38%	-0.09	+0.1	28
1999-11-28	Lyngby	L 2-3	57.3	1411	1592	22.10%	25.07%	52.83%	-0.65	-2.2	14
1999-11-28	@ Esbjerg	W 3-2	57.3	1592	1411	52.83%	25.07%	22.10%	+0.65	+2.2	29
1999-11-28	Viborg	W 2-1	61.1	1605	1604	44.82%	27.10%	28.08%	+0.33	+2.9	24
1999-11-28	@ FC Copenhagen	L 1-2	61.1	1604	1605	28.08%	27.10%	44.82%	-0.33	-2.9	28
1999-11-28	Vejle BK	W 3-1	55.1	1622	1556	53.48%	24.85%	21.67%	+0.67	+3.9	37
1999-11-28	@ Herfolge	L 1-3	55.1	1556	1622	21.67%	24.85%	53.48%	-0.67	-3.9	12
1999-11-28	Aarhus GF	W 4-1	52.9	1649	1568	55.42%	24.16%	20.43%	+0.75	+5.2	29
1999-11-28	@ Silkeborg	L 1-4	52.9	1568	1649	20.43%	24.16%	55.42%	-0.75	-5.2	15
2000-03-12	FC Copenhagen	D 0-0	66.0	1670	1608	52.94%	25.03%	22.03%	+0.65	-0.7	29
2000-03-12	@ Aalborg	D 0-0	66.0	1608	1670	22.03%	25.03%	52.94%	-0.65	+0.7	25
2000-03-12	Odense	L 0-1	58.7	1563	1536	48.26%	26.38%	25.36%	+0.46	-4.6	15
2000-03-12	@ Aarhus GF	W 1-0	58.7	1536	1563	25.36%	26.38%	48.26%	-0.46	+4.6	20
2000-03-12	Esbjerg	L 2-3	74.4	1703	1409	78.62%	12.44%	8.95%	+1.89	-5.9	31
2000-03-12	@ Brondby	W 3-2	74.4	1409	1703	8.95%	12.44%	78.62%	-1.89	+5.8	17
2000-03-12	AB Copenhagen	W 3-1	60.8	1552	1625	34.27%	27.83%	37.91%	-0.07	+6.2	15
2000-03-12	@ Vejle BK	L 1-3	60.8	1625	1552	37.91%	27.83%	34.27%	+0.07	-6.2	27
2000-03-12	Silkeborg	D 1-1	69.1	1601	1654	37.06%	27.85%	35.09%	+0.04	-0.0	29
2000-03-12	@ Viborg	D 1-1	69.1	1654	1601	35.09%	27.85%	37.06%	-0.04	+0.0	30
2000-03-13	Herfolge	W 1-0	57.5	1595	1626	40.18%	27.69%	32.13%	+0.15	+3.4	32
2000-03-13	@ Lyngby	L 0-1	57.5	1626	1595	32.13%	27.69%	40.18%	-0.15	-3.4	37
2000-03-19	Aarhus GF	L 0-1	47.4	1415	1558	25.73%	26.50%	47.77%	-0.44	-2.8	17
2000-03-19	@ Esbjerg	W 1-0	47.4	1558	1415	47.77%	26.50%	25.73%	+0.44	+2.8	18
2000-03-19	AB Copenhagen	L 1-2	66.1	1609	1619	43.16%	27.36%	29.48%	+0.27	-4.0	25
2000-03-19	@ FC Copenhagen	W 2-1	66.1	1619	1609	29.48%	27.36%	43.16%	-0.27	+4.0	30
2000-03-19	Brondby	L 0-2	56.6	1623	1698	34.03%	27.82%	38.15%	-0.08	-6.7	37
2000-03-19	@ Herfolge	W 2-0	56.6	1698	1623	38.15%	27.82%	34.03%	+0.08	+6.7	34
2000-03-19	Vejle BK	L 0-1	60.8	1598	1559	49.98%	25.93%	24.09%	+0.53	-4.7	32
2000-03-19	@ Lyngby	W 1-0	60.8	1559	1598	24.09%	25.93%	49.98%	-0.53	+4.7	18
2000-03-19	Viborg	L 0-1	56.8	1541	1601	36.08%	27.86%	36.06%	+0.00	-3.7	20
2000-03-19	@ Odense	W 1-0	56.8	1601	1541	36.06%	27.86%	36.08%	+0.00	+3.7	32
2000-03-20	Aalborg	D 1-1	70.2	1654	1669	42.54%	27.44%	30.01%	+0.24	-0.2	31
2000-03-20	@ Silkeborg	D 1-1	70.2	1669	1654	30.01%	27.44%	42.54%	-0.24	+0.2	30
2000-03-26	Odense	L 1-2	69.4	1669	1537	61.72%	21.49%	16.79%	+1.03	-5.2	30
2000-03-26	@ Aalborg	W 2-1	69.4	1537	1669	16.79%	21.49%	61.72%	-1.03	+5.2	23
2000-03-26	Herfolge	L 2-3	68.3	1561	1616	36.78%	27.85%	35.37%	+0.03	-3.3	18
2000-03-26	@ Aarhus GF	W 3-2	68.3	1616	1561	35.37%	27.85%	36.78%	-0.03	+3.3	40
2000-03-26	Silkeborg	W 2-0	55.4	1623	1654	40.28%	27.68%	32.03%	+0.16	+6.4	33
2000-03-26	@ AB Copenhagen	L 0-2	55.4	1654	1623	32.03%	27.68%	40.28%	-0.16	-6.4	31
2000-03-26	Lyngby	D 2-2	76.8	1704	1593	59.14%	22.65%	18.21%	+0.91	-0.7	35
2000-03-26	@ Brondby	D 2-2	76.8	1593	1704	18.21%	22.65%	59.14%	-0.91	+0.6	33
2000-03-26	FC Copenhagen	L 2-7	57.0	1563	1605	38.78%	27.79%	33.43%	+0.10	-11.9	18
2000-03-26	@ Vejle BK	W 7-2	57.0	1605	1563	33.43%	27.79%	38.78%	-0.10	+11.9	28
2000-03-26	Esbjerg	L 2-3	69.7	1604	1412	68.60%	18.03%	13.37%	+1.35	-5.4	32
2000-03-26	@ Viborg	W 3-2	69.7	1412	1604	13.37%	18.03%	68.60%	-1.35	+5.4	20
2000-03-30	Esbjerg	W 1-0	43.0	1557	1417	62.67%	21.04%	16.29%	+1.07	+1.8	21
2000-03-30	@ Aarhus GF	L 0-1	43.0	1417	1557	16.29%	21.04%	62.67%	-1.07	-1.8	20
2000-04-02	Aalborg	D 0-0	62.1	1415	1664	17.05%	21.72%	61.23%	-1.00	+1.0	21
2000-04-02	@ Esbjerg	D 0-0	62.1	1664	1415	61.23%	21.72%	17.05%	+1.00	-1.0	31
2000-04-02	Aarhus GF	W 3-0	48.1	1594	1559	49.35%	26.10%	24.54%	+0.51	+7.4	36
2000-04-02	@ Lyngby	L 0-3	48.1	1559	1594	24.54%	26.10%	49.35%	-0.51	-7.4	21
2000-04-02	AB Copenhagen	D 1-1	67.4	1542	1630	32.34%	27.71%	39.95%	-0.14	+0.1	24
2000-04-02	@ Odense	D 1-1	67.4	1630	1542	39.95%	27.71%	32.34%	+0.14	-0.2	34
2000-04-02	FC Copenhagen	W 2-1	60.9	1648	1617	48.86%	26.23%	24.91%	+0.49	+2.6	34
2000-04-02	@ Silkeborg	L 1-2	60.9	1617	1648	24.91%	26.23%	48.86%	-0.49	-2.6	28
2000-04-02	Brondby	D 1-1	69.6	1551	1704	24.85%	26.21%	48.94%	-0.49	+0.5	19
2000-04-02	@ Vejle BK	D 1-1	69.6	1704	1551	48.94%	26.21%	24.85%	+0.49	-0.5	36
2000-04-03	Viborg	W 3-2	65.6	1619	1599	47.42%	26.58%	26.00%	+0.43	+2.5	43
2000-04-03	@ Herfolge	L 2-3	65.6	1599	1619	26.00%	26.58%	47.42%	-0.43	-2.5	32
2000-04-09	Lyngby	D 1-1	70.1	1663	1601	52.92%	25.04%	22.04%	+0.65	-0.6	32
2000-04-09	@ Aalborg	D 1-1	70.1	1601	1663	22.04%	25.04%	52.92%	-0.65	+0.6	37
2000-04-09	Herfolge	W 3-0	51.4	1629	1622	45.63%	26.95%	27.42%	+0.36	+8.2	37
2000-04-09	@ AB Copenhagen	L 0-3	51.4	1622	1629	27.42%	26.95%	45.63%	-0.36	-8.2	43
2000-04-09	Esbjerg	W 3-1	45.7	1614	1416	69.13%	17.74%	13.13%	+1.37	+2.2	31
2000-04-09	@ FC Copenhagen	L 1-3	45.7	1416	1614	13.13%	17.74%	69.13%	-1.37	-2.2	21
2000-04-09	Odense	W 1-0	51.3	1650	1542	58.76%	22.81%	18.43%	+0.90	+2.0	37
2000-04-09	@ Silkeborg	L 0-1	51.3	1542	1650	18.43%	22.81%	58.76%	-0.90	-2.0	24
2000-04-09	Brondby	D 2-2	75.4	1597	1703	29.91%	27.43%	42.66%	-0.25	+0.2	33
2000-04-09	@ Viborg	D 2-2	75.4	1703	1597	42.66%	27.43%	29.91%	+0.25	-0.2	37
2000-04-10	Vejle BK	W 2-0	50.0	1552	1552	44.60%	27.14%	28.26%	+0.32	+5.8	24
2000-04-10	@ Aarhus GF	L 0-2	50.0	1552	1552	28.26%	27.14%	44.60%	-0.32	-5.8	19
2000-04-16	Aarhus GF	W 2-0	48.2	1703	1558	63.25%	20.76%	15.99%	+1.09	+3.3	40
2000-04-16	@ Brondby	L 0-2	48.2	1558	1703	15.99%	20.76%	63.25%	-1.09	-3.3	24
2000-04-16	AB Copenhagen	D 0-0	60.7	1414	1638	18.78%	23.07%	58.14%	-0.87	+0.9	22
2000-04-16	@ Esbjerg	D 0-0	60.7	1638	1414	58.14%	23.07%	18.78%	+0.87	-0.9	38
2000-04-16	Aalborg	L 0-2	57.1	1614	1662	37.76%	27.83%	34.41%	+0.06	-7.2	43
2000-04-16	@ Herfolge	W 2-0	57.1	1662	1614	34.41%	27.83%	37.76%	-0.06	+7.2	35
2000-04-16	Viborg	L 1-3	63.3	1602	1597	45.34%	27.00%	27.65%	+0.35	-7.2	37
2000-04-16	@ Lyngby	W 3-1	63.3	1597	1602	27.65%	27.00%	45.34%	-0.35	+7.2	36
2000-04-16	Silkeborg	W 2-1	65.3	1546	1652	29.96%	27.44%	42.60%	-0.24	+3.9	22
2000-04-16	@ Vejle BK	L 1-2	65.3	1652	1546	42.60%	27.44%	29.96%	+0.24	-3.9	37
2000-04-17	FC Copenhagen	W 2-0	54.8	1540	1616	33.86%	27.81%	38.33%	-0.08	+7.3	27
2000-04-17	@ Odense	L 0-2	54.8	1616	1540	38.33%	27.81%	33.86%	+0.08	-7.3	31
2000-04-20	Esbjerg	W 7-1	40.6	1670	1415	74.93%	14.54%	10.53%	+1.68	+4.5	38
2000-04-20	@ Aalborg	L 1-7	40.6	1415	1670	10.53%	14.54%	74.93%	-1.68	-4.5	22
2000-04-20	Lyngby	W 3-0	51.1	1554	1595	38.91%	27.78%	33.31%	+0.11	+9.5	27
2000-04-20	@ Aarhus GF	L 0-3	51.1	1595	1554	33.31%	27.78%	38.91%	-0.11	-9.5	37
2000-04-20	Odense	L 0-2	59.7	1637	1548	56.42%	23.77%	19.81%	+0.79	-9.8	38
2000-04-20	@ AB Copenhagen	W 2-0	59.7	1548	1637	19.81%	23.77%	56.42%	-0.79	+9.8	30
2000-04-20	Vejle BK	W 4-0	45.2	1706	1550	64.49%	20.15%	15.36%	+1.15	+5.9	43
2000-04-20	@ Brondby	L 0-4	45.2	1550	1706	15.36%	20.15%	64.49%	-1.15	-5.9	22
2000-04-20	Silkeborg	W 4-1	58.5	1609	1648	39.08%	27.77%	33.15%	+0.11	+8.0	34
2000-04-20	@ FC Copenhagen	L 1-4	58.5	1648	1609	33.15%	27.77%	39.08%	-0.11	-8.0	37
2000-04-20	Herfolge	W 1-0	56.1	1604	1607	44.24%	27.20%	28.57%	+0.31	+3.1	39
2000-04-20	@ Viborg	L 0-1	56.1	1607	1604	28.57%	27.20%	44.24%	-0.31	-3.1	43
2000-04-23	Viborg	L 1-2	52.2	1411	1607	20.85%	24.40%	54.75%	-0.72	-2.2	22
2000-04-23	@ Esbjerg	W 2-1	52.2	1607	1411	54.75%	24.40%	20.85%	+0.72	+2.2	42
2000-04-23	Vejle BK	L 1-4	61.8	1617	1544	54.35%	24.55%	21.10%	+0.71	-11.6	34
2000-04-23	@ FC Copenhagen	W 4-1	61.8	1544	1617	21.10%	24.55%	54.35%	-0.71	+11.6	25
2000-04-23	Aarhus GF	D 1-1	67.8	1604	1564	50.03%	25.92%	24.05%	+0.53	-0.5	44
2000-04-23	@ Herfolge	D 1-1	67.8	1564	1604	24.05%	25.92%	50.03%	-0.53	+0.5	28
2000-04-23	Brondby	W 3-0	57.5	1585	1712	27.54%	26.98%	45.49%	-0.35	+12.0	40
2000-04-23	@ Lyngby	L 0-3	57.5	1712	1585	45.49%	26.98%	27.54%	+0.35	-12.0	43
2000-04-23	Aalborg	L 1-4	56.6	1557	1674	28.69%	27.22%	44.09%	-0.30	-7.1	30
2000-04-23	@ Odense	W 4-1	56.6	1674	1557	44.09%	27.22%	28.69%	+0.30	+7.2	41
2000-04-23	AB Copenhagen	W 1-0	56.4	1640	1627	46.48%	26.78%	26.74%	+0.39	+2.9	40
2000-04-23	@ Silkeborg	L 0-1	56.4	1627	1640	26.74%	26.78%	46.48%	-0.39	-2.9	38
2000-04-30	Esbjerg	W 4-3	55.6	1564	1408	64.48%	20.15%	15.36%	+1.15	+1.4	31
2000-04-30	@ Aarhus GF	L 3-4	55.6	1408	1564	15.36%	20.15%	64.48%	-1.15	-1.5	22
2000-04-30	FC Copenhagen	L 0-2	58.8	1624	1605	47.17%	26.63%	26.20%	+0.42	-8.5	38
2000-04-30	@ AB Copenhagen	W 2-0	58.8	1605	1624	26.20%	26.63%	47.17%	-0.42	+8.5	37
2000-04-30	Herfolge	W 5-0	48.4	1700	1603	57.41%	23.38%	19.21%	+0.84	+9.4	46
2000-04-30	@ Brondby	L 0-5	48.4	1603	1700	19.21%	23.38%	57.41%	-0.84	-9.4	44
2000-04-30	Lyngby	W 4-0	50.7	1556	1597	38.77%	27.79%	33.45%	+0.10	+12.5	28
2000-04-30	@ Vejle BK	L 0-4	50.7	1597	1556	33.45%	27.79%	38.77%	-0.10	-12.5	40
2000-04-30	Odense	L 2-4	68.0	1609	1550	52.57%	25.15%	22.28%	+0.63	-7.2	42
2000-04-30	@ Viborg	W 4-2	68.0	1550	1609	22.28%	25.15%	52.57%	-0.63	+7.2	33
2000-05-01	Silkeborg	W 1-0	56.2	1681	1643	49.80%	25.98%	24.22%	+0.52	+2.7	44
2000-05-01	@ Aalborg	L 0-1	56.2	1643	1681	24.22%	25.98%	49.80%	-0.52	-2.7	40
2000-05-03	Aarhus GF	W 2-1	58.5	1614	1566	51.13%	25.60%	23.27%	+0.58	+2.4	40
2000-05-03	@ FC Copenhagen	L 1-2	58.5	1566	1614	23.27%	25.60%	51.13%	-0.58	-2.4	31
2000-05-07	Vejle BK	D 1-1	68.3	1615	1568	51.00%	25.64%	23.36%	+0.57	-0.6	39
2000-05-07	@ AB Copenhagen	D 1-1	68.3	1568	1615	23.36%	25.64%	51.00%	-0.57	+0.6	29
2000-05-07	Brondby	W 2-0	59.6	1407	1709	13.93%	18.66%	67.41%	-1.29	+11.2	25
2000-05-07	@ Esbjerg	L 0-2	59.6	1709	1407	67.41%	18.66%	13.93%	+1.29	-11.2	46
2000-05-07	Aalborg	D 0-0	65.5	1616	1684	35.03%	27.85%	37.13%	-0.04	+0.0	41
2000-05-07	@ FC Copenhagen	D 0-0	65.5	1684	1616	37.13%	27.85%	35.03%	+0.04	-0.1	45
2000-05-07	Lyngby	W 4-1	54.9	1594	1585	45.84%	26.91%	27.25%	+0.37	+6.8	47
2000-05-07	@ Herfolge	L 1-4	54.9	1585	1594	27.25%	26.91%	45.84%	-0.37	-6.8	40
2000-05-07	Aarhus GF	W 4-0	48.2	1557	1563	43.78%	27.27%	28.95%	+0.29	+11.2	36
2000-05-07	@ Odense	L 0-4	48.2	1563	1557	28.95%	27.27%	43.78%	-0.29	-11.2	31
2000-05-07	Viborg	W 1-0	55.0	1641	1602	49.87%	25.96%	24.17%	+0.53	+2.7	43
2000-05-07	@ Silkeborg	L 0-1	55.0	1602	1641	24.17%	25.96%	49.87%	-0.53	-2.7	42
2000-05-10	AB Copenhagen	L 0-2	61.4	1684	1615	53.87%	24.72%	21.41%	+0.69	-9.4	45
2000-05-10	@ Aalborg	W 2-0	61.4	1615	1684	21.41%	24.72%	53.87%	-0.69	+9.4	42
2000-05-10	Silkeborg	W 2-1	64.7	1552	1643	31.87%	27.67%	40.46%	-0.16	+3.8	34
2000-05-10	@ Aarhus GF	L 1-2	64.7	1643	1552	40.46%	27.67%	31.87%	+0.16	-3.8	43
2000-05-10	Odense	W 2-1	57.2	1698	1569	61.41%	21.63%	16.96%	+1.01	+1.8	49
2000-05-10	@ Brondby	L 1-2	57.2	1569	1698	16.96%	21.63%	61.41%	-1.01	-1.8	36
2000-05-10	Herfolge	L 0-2	55.7	1569	1601	40.17%	27.69%	32.13%	+0.15	-7.5	29
2000-05-10	@ Vejle BK	W 2-0	55.7	1601	1569	32.13%	27.69%	40.17%	-0.15	+7.5	50
2000-05-10	FC Copenhagen	D 1-1	68.5	1599	1616	42.24%	27.48%	30.28%	+0.23	-0.2	43
2000-05-10	@ Viborg	D 1-1	68.5	1616	1599	30.28%	27.48%	42.24%	-0.23	+0.2	42
2000-05-11	Esbjerg	L 4-6	67.2	1578	1418	64.93%	19.93%	15.14%	+1.17	-7.7	40
2000-05-11	@ Lyngby	W 6-4	67.2	1418	1578	15.14%	19.93%	64.93%	-1.17	+7.7	28
2000-05-14	Vejle BK	W 7-1	49.3	1674	1561	59.39%	22.54%	18.07%	+0.92	+8.6	48
2000-05-14	@ Aalborg	L 1-7	49.3	1561	1674	18.07%	22.54%	59.39%	-0.92	-8.6	29
2000-05-14	Viborg	W 6-0	50.6	1624	1599	48.07%	26.43%	25.50%	+0.45	+14.7	45
2000-05-14	@ AB Copenhagen	L 0-6	50.6	1599	1624	25.50%	26.43%	48.07%	-0.45	-14.7	43
2000-05-14	Herfolge	L 1-2	53.4	1426	1608	22.04%	25.04%	52.93%	-0.65	-2.3	28
2000-05-14	@ Esbjerg	W 2-1	53.4	1608	1426	52.93%	25.04%	22.04%	+0.65	+2.3	53
2000-05-14	Lyngby	L 1-3	61.4	1567	1570	44.13%	27.21%	28.65%	+0.30	-7.0	36
2000-05-14	@ Odense	W 3-1	61.4	1570	1567	28.65%	27.21%	44.13%	-0.30	+7.0	43
2000-05-15	Brondby	D 1-1	70.2	1639	1700	36.02%	27.86%	36.12%	+0.00	+0.0	44
2000-05-15	@ Silkeborg	D 1-1	70.2	1700	1639	36.12%	27.86%	36.02%	+0.00	+0.0	50
2000-05-21	AB Copenhagen	D 2-2	73.5	1556	1639	32.93%	27.76%	39.32%	-0.12	+0.1	35
2000-05-21	@ Aarhus GF	D 2-2	73.5	1639	1556	39.32%	27.76%	32.93%	+0.12	-0.1	46
2000-05-21	FC Copenhagen	D 1-1	71.1	1700	1617	55.71%	24.05%	20.24%	+0.76	-0.8	51
2000-05-21	@ Brondby	D 1-1	71.1	1617	1700	20.24%	24.05%	55.71%	-0.76	+0.7	43
2000-05-21	Odense	D 3-3	77.6	1610	1560	51.47%	25.50%	23.03%	+0.59	-0.4	54
2000-05-21	@ Herfolge	D 3-3	77.6	1560	1610	23.03%	25.50%	51.47%	-0.59	+0.4	37
2000-05-21	Silkeborg	D 0-0	64.1	1577	1639	35.80%	27.86%	36.34%	-0.01	+0.0	44
2000-05-21	@ Lyngby	D 0-0	64.1	1639	1577	36.34%	27.86%	35.80%	+0.01	-0.0	45
2000-05-21	Aalborg	W 7-2	59.8	1584	1683	30.89%	27.56%	41.55%	-0.20	+12.5	46
2000-05-21	@ Viborg	L 2-7	59.8	1683	1584	41.55%	27.56%	30.89%	+0.20	-12.5	48
2000-05-22	Esbjerg	W 2-1	48.7	1553	1423	61.35%	21.66%	16.99%	+1.01	+1.8	32
2000-05-22	@ Vejle BK	L 1-2	48.7	1423	1553	16.99%	21.66%	61.35%	-1.01	-1.8	28
2000-05-25	Aarhus GF	D 1-1	70.2	1670	1556	59.55%	22.47%	17.98%	+0.93	-0.9	49
2000-05-25	@ Aalborg	D 1-1	70.2	1556	1670	17.98%	22.47%	59.55%	-0.93	+0.9	36
2000-05-25	Brondby	W 2-0	57.4	1639	1699	36.05%	27.86%	36.09%	+0.00	+7.0	49
2000-05-25	@ AB Copenhagen	L 0-2	57.4	1699	1639	36.09%	27.86%	36.05%	+0.00	-7.0	51
2000-05-25	Lyngby	L 1-2	67.0	1617	1577	50.07%	25.91%	24.02%	+0.53	-4.5	43
2000-05-25	@ FC Copenhagen	W 2-1	67.0	1577	1617	24.02%	25.91%	50.07%	-0.53	+4.5	47
2000-05-25	Herfolge	D 1-1	69.5	1639	1610	48.64%	26.29%	25.07%	+0.48	-0.5	46
2000-05-25	@ Silkeborg	D 1-1	69.5	1610	1639	25.07%	26.29%	48.64%	-0.48	+0.5	55
2000-05-25	Vejle BK	W 3-0	47.7	1597	1555	50.39%	25.82%	23.80%	+0.55	+7.2	49
2000-05-25	@ Viborg	L 0-3	47.7	1555	1597	23.80%	25.82%	50.39%	-0.55	-7.2	32
2000-05-26	Esbjerg	W 4-1	43.4	1560	1422	62.43%	21.15%	16.41%	+1.06	+4.1	40
2000-05-26	@ Odense	L 1-4	43.4	1422	1560	16.41%	21.15%	62.43%	-1.06	-4.1	28
2000-05-28	Viborg	L 0-4	52.2	1557	1604	37.95%	27.82%	34.22%	+0.07	-13.7	36
2000-05-28	@ Aarhus GF	W 4-0	52.2	1604	1557	34.22%	27.82%	37.95%	-0.07	+13.7	52
2000-05-28	Aalborg	W 1-0	57.2	1692	1670	47.74%	26.50%	25.76%	+0.44	+2.8	54
2000-05-28	@ Brondby	L 0-1	57.2	1670	1692	25.76%	26.50%	47.74%	-0.44	-2.8	49
2000-05-28	Silkeborg	L 0-3	42.4	1418	1639	18.93%	23.18%	57.88%	-0.86	-5.7	28
2000-05-28	@ Esbjerg	W 3-0	42.4	1639	1418	57.88%	23.18%	18.93%	+0.86	+5.7	49
2000-05-28	FC Copenhagen	D 1-1	68.7	1610	1613	44.29%	27.19%	28.52%	+0.31	-0.3	56
2000-05-28	@ Herfolge	D 1-1	68.7	1613	1610	28.52%	27.19%	44.29%	-0.31	+0.3	44
2000-05-28	AB Copenhagen	L 0-2	55.6	1582	1646	35.53%	27.86%	36.62%	-0.02	-6.9	47
2000-05-28	@ Lyngby	W 2-0	55.6	1646	1582	36.62%	27.86%	35.53%	+0.02	+6.9	52
2000-05-28	Odense	L 0-1	57.6	1547	1564	42.25%	27.48%	30.27%	+0.23	-4.1	32
2000-05-28	@ Vejle BK	W 1-0	57.6	1564	1547	30.27%	27.48%	42.25%	-0.23	+4.2	43

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	2000-03-12	8.95%	Esbjerg	1409	3	@ Brondby	1703	2
2	1999-10-13	10.86%	Esbjerg	1396	2	@ AB Copenhagen	1642	1
3	2000-03-26	13.37%	Esbjerg	1412	3	@ Viborg	1604	2
4	2000-05-07	13.93%	@ Esbjerg	1407	2	Brondby	1709	0
5	2000-05-11	15.14%	Esbjerg	1418	6	@ Lyngby	1578	4
6	2000-03-26	16.79%	Odense	1537	2	@ Aalborg	1669	1
7	1999-09-19	19.19%	Odense	1540	1	@ Silkeborg	1637	0
8	2000-04-20	19.81%	Odense	1548	2	@ AB Copenhagen	1637	0
9	1999-09-10	19.98%	Lyngby	1582	2	@ Aalborg	1669	0
10	1999-11-08	20.59%	Viborg	1596	2	@ Aalborg	1675	1
11	1999-10-17	21.05%	@ Esbjerg	1401	2	FC Copenhagen	1595	0
12	1999-11-07	21.05%	Aarhus GF	1560	3	@ AB Copenhagen	1633	2
13	2000-04-23	21.10%	Vejle BK	1544	4	@ FC Copenhagen	1617	1
14	2000-05-10	21.41%	AB Copenhagen	1615	2	@ Aalborg	1684	0
15	2000-04-30	22.28%	Odense	1550	4	@ Viborg	1609	2
16	1999-10-03	22.99%	FC Copenhagen	1596	2	@ AB Copenhagen	1647	1
17	2000-05-25	24.02%	Lyngby	1577	2	@ FC Copenhagen	1617	1
18	2000-03-19	24.09%	Vejle BK	1559	1	@ Lyngby	1598	0
19	1999-11-07	24.14%	@ Esbjerg	1404	3	Vejle BK	1564	1
20	1999-07-26	24.39%	@ Esbjerg	1407	2	Odense	1563	0
21	1999-10-06	24.87%	@ Odense	1546	2	Brondby	1698	1
22	2000-03-12	25.36%	Odense	1536	1	@ Aarhus GF	1563	0
23	1999-10-31	26.20%	FC Copenhagen	1592	4	@ Lyngby	1611	0
24	2000-04-30	26.20%	FC Copenhagen	1605	2	@ AB Copenhagen	1624	0
25	2000-04-23	27.54%	@ Lyngby	1585	3	Brondby	1712	0

Biggest Elo Changes

The 25 games that resulted in the largest shift in Elo rating.

#	Date	Elo Δ	Winning Team				Losing Team				Tie %
#	Date	Elo Δ	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	1999-10-31	16.16	FC Copenhagen	4	1592	26.20%	@ Lyngby	0	1611	47.17%	26.63%
2	1999-07-25	15.20	Silkeborg	4	1618	29.15%	@ Vejle BK	0	1610	43.55%	27.30%
3	2000-05-14	14.68	@ AB Copenhagen	6	1624	48.07%	Viborg	0	1599	25.50%	26.43%
4	2000-05-28	13.71	Viborg	4	1604	34.22%	@ Aarhus GF	0	1557	37.95%	27.82%
5	2000-05-21	12.52	@ Viborg	7	1584	30.89%	Aalborg	2	1683	41.55%	27.56%
6	2000-04-30	12.50	@ Vejle BK	4	1556	38.77%	Lyngby	0	1597	33.45%	27.79%
7	1999-10-17	12.31	Silkeborg	4	1635	39.48%	@ Odense	0	1551	32.78%	27.74%
8	2000-04-23	12.03	@ Lyngby	3	1585	27.54%	Brondby	0	1712	45.49%	26.98%
9	2000-03-26	11.90	FC Copenhagen	7	1605	33.43%	@ Vejle BK	2	1563	38.78%	27.79%
10	1999-08-01	11.71	Brondby	4	1695	41.74%	@ Vejle BK	0	1595	30.72%	27.54%
11	2000-04-23	11.64	Vejle BK	4	1544	21.10%	@ FC Copenhagen	1	1617	54.35%	24.55%
12	2000-05-07	11.17	@ Odense	4	1557	43.78%	Aarhus GF	0	1563	28.95%	27.27%
13	2000-05-07	11.16	@ Esbjerg	2	1407	13.93%	Brondby	0	1709	67.41%	18.66%
14	1999-08-01	10.16	AB Copenhagen	3	1614	35.88%	@ Odense	0	1555	36.26%	27.86%
15	2000-04-20	9.78	Odense	2	1548	19.81%	@ AB Copenhagen	0	1637	56.42%	23.77%
16	1999-09-10	9.75	Lyngby	2	1582	19.98%	@ Aalborg	0	1669	56.14%	23.88%
17	1999-10-13	9.69	@ Aalborg	4	1664	49.37%	Herfolge	0	1630	24.53%	26.10%
18	2000-04-20	9.54	@ Aarhus GF	3	1554	38.91%	Lyngby	0	1595	33.31%	27.78%
19	1999-10-17	9.52	@ Esbjerg	2	1401	21.05%	FC Copenhagen	0	1595	54.44%	24.52%
20	2000-05-10	9.44	AB Copenhagen	2	1615	21.41%	@ Aalborg	0	1684	53.87%	24.72%
21	2000-04-30	9.38	@ Brondby	5	1700	57.41%	Herfolge	0	1603	19.21%	23.38%
22	1999-07-26	8.85	@ Esbjerg	2	1407	24.39%	Odense	0	1563	49.56%	26.05%
23	1999-10-06	8.82	@ Lyngby	5	1590	45.99%	Vejle BK	1	1580	27.13%	26.88%
24	2000-05-14	8.60	@ Aalborg	7	1674	59.39%	Vejle BK	1	1561	18.07%	22.54%
25	2000-04-30	8.52	FC Copenhagen	2	1605	26.20%	@ AB Copenhagen	0	1624	47.17%	26.63%

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	2000-05-21	77.6	@ Herfolge	3	1610	51.47%	Odense	3	1560	23.03%	25.50%
2	2000-03-26	76.8	@ Brondby	2	1704	59.14%	Lyngby	2	1593	18.21%	22.65%
3	1999-08-29	76.7	@ Brondby	2	1703	56.09%	Herfolge	2	1617	20.01%	23.90%
4	1999-09-12	76.0	@ Aarhus GF	3	1579	49.91%	Odense	3	1540	24.14%	25.95%
5	1999-10-06	75.8	@ Aalborg	2	1665	47.73%	AB Copenhagen	2	1642	25.77%	26.51%
6	2000-04-09	75.4	@ Viborg	2	1597	29.91%	Brondby	2	1703	42.66%	27.43%
7	1999-09-19	75.1	@ AB Copenhagen	2	1640	47.48%	Herfolge	2	1620	25.96%	26.56%
8	1999-10-24	75.1	@ AB Copenhagen	2	1640	48.71%	Lyngby	2	1610	25.02%	26.27%
9	1999-10-13	74.6	@ Silkeborg	2	1635	53.21%	Vejle BK	2	1571	21.85%	24.94%
10	2000-03-12	74.4	Esbjerg	3	1409	8.95%	@ Brondby	2	1703	78.62%	12.44%
11	1999-09-19	74.3	@ Vejle BK	2	1576	32.97%	Aalborg	2	1659	39.27%	27.76%
12	1999-08-29	74.0	@ Odense	2	1539	27.21%	Aalborg	2	1669	45.88%	26.90%
13	2000-05-21	73.5	@ Aarhus GF	2	1556	32.93%	AB Copenhagen	2	1639	39.32%	27.76%
14	1999-11-07	72.9	Aarhus GF	3	1560	21.05%	@ AB Copenhagen	2	1633	54.43%	24.52%
15	2000-05-21	71.1	@ Brondby	1	1700	55.71%	FC Copenhagen	1	1617	20.24%	24.05%
16	1999-10-17	70.4	@ Lyngby	3	1607	35.12%	Aalborg	2	1674	37.03%	27.85%
17	2000-03-20	70.2	@ Silkeborg	1	1654	42.54%	Aalborg	1	1669	30.01%	27.44%
18	2000-05-15	70.2	@ Silkeborg	1	1639	36.02%	Brondby	1	1700	36.12%	27.86%
19	2000-05-25	70.2	@ Aalborg	1	1670	59.55%	Aarhus GF	1	1556	17.98%	22.47%
20	2000-04-09	70.1	@ Aalborg	1	1663	52.92%	Lyngby	1	1601	22.04%	25.04%
21	1999-08-29	70.0	Viborg	3	1596	29.81%	@ Vejle BK	2	1583	42.77%	27.41%
22	1999-11-07	70.0	@ FC Copenhagen	1	1608	31.16%	Brondby	1	1705	41.24%	27.59%
23	1999-09-12	69.7	@ AB Copenhagen	1	1641	45.14%	Silkeborg	1	1637	27.82%	27.04%
24	1999-11-28	69.7	@ AB Copenhagen	1	1626	38.38%	Aalborg	1	1670	33.82%	27.81%
25	2000-03-26	69.7	Esbjerg	3	1412	13.37%	@ Viborg	2	1604	68.60%	18.03%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	1999-09-26	36.8	@ FC Copenhagen	3	1592	68.55%	Esbjerg	0	1399	13.40%	18.05%
2	1999-08-22	37.2	@ Silkeborg	4	1628	71.22%	Esbjerg	0	1410	12.17%	16.61%
3	1999-09-13	39.3	@ Herfolge	2	1617	70.79%	Esbjerg	0	1404	12.36%	16.84%
4	1999-10-25	40.0	@ Silkeborg	2	1647	73.01%	Esbjerg	0	1412	11.37%	15.62%
5	2000-04-20	40.6	@ Aalborg	7	1670	74.93%	Esbjerg	1	1415	10.53%	14.54%
6	1999-08-01	41.4	@ Lyngby	5	1591	66.73%	Esbjerg	1	1416	14.26%	19.01%
7	2000-05-28	42.4	Silkeborg	3	1639	57.88%	@ Esbjerg	0	1418	18.93%	23.18%
8	2000-03-30	43.0	@ Aarhus GF	1	1557	62.67%	Esbjerg	0	1417	16.29%	21.04%
9	2000-05-26	43.4	@ Odense	4	1560	62.43%	Esbjerg	1	1422	16.41%	21.15%
10	1999-10-31	44.1	Odense	2	1538	45.70%	@ Esbjerg	0	1410	27.37%	26.94%
11	2000-04-20	45.2	@ Brondby	4	1706	64.49%	Vejle BK	0	1550	15.36%	20.15%
12	2000-04-09	45.7	@ FC Copenhagen	3	1614	69.13%	Esbjerg	1	1416	13.13%	17.74%
13	1999-08-15	45.8	@ Brondby	3	1709	78.85%	Esbjerg	1	1412	8.85%	12.30%
14	1999-08-29	46.6	AB Copenhagen	1	1639	59.31%	@ Esbjerg	0	1406	18.12%	22.58%
15	1999-10-03	47.1	@ Brondby	3	1692	60.60%	Aarhus GF	0	1569	17.39%	22.00%
16	2000-03-19	47.4	Aarhus GF	1	1558	47.77%	@ Esbjerg	0	1415	25.73%	26.50%
17	2000-05-25	47.7	@ Viborg	3	1597	50.39%	Vejle BK	0	1555	23.80%	25.82%
18	2000-04-02	48.1	@ Lyngby	3	1594	49.35%	Aarhus GF	0	1559	24.54%	26.10%
19	2000-04-16	48.2	@ Brondby	2	1703	63.25%	Aarhus GF	0	1558	15.99%	20.76%
20	2000-05-07	48.2	@ Odense	4	1557	43.78%	Aarhus GF	0	1563	28.95%	27.27%
21	2000-04-30	48.4	@ Brondby	5	1700	57.41%	Herfolge	0	1603	19.21%	23.38%
22	2000-05-22	48.7	@ Vejle BK	2	1553	61.35%	Esbjerg	1	1423	16.99%	21.66%
23	1999-11-21	48.9	@ Lyngby	2	1588	51.02%	Odense	0	1540	23.34%	25.63%
24	2000-05-14	49.3	@ Aalborg	7	1674	59.39%	Vejle BK	1	1561	18.07%	22.54%
25	1999-11-07	49.5	@ Silkeborg	3	1641	50.93%	Lyngby	0	1595	23.41%	25.66%