1998-99 Superliga Season

198 games

Final

Champion

Aalborg

64 points · 2nd Title

Last Title: 1994-95

Relegated

B.93 Kobenhavn

12 pts

Aarhus Fremad · 29 pts

Biggest Overachiever

Lyngby

9.80 points above expected

52 points · 42.20 expected points

Biggest Disappointment

B.93 Kobenhavn

9.29 points below expected

12 points · 21.29 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	Aalborg Champion	33	17	13	3	64	65	37	+28	55.77	+8.23
2	Brondby	33	19	4	10	61	73	37	+36	62.47	-1.47
3	AB Copenhagen	33	17	5	11	56	49	36	+13	52.16	+3.84
4	Lyngby	33	14	10	9	52	55	60	-5	42.20	+9.80
5	Vejle BK	33	14	5	14	47	54	48	+6	48.56	-1.56
6	Herfolge	33	12	11	10	47	44	36	+8	44.26	+2.74
7	FC Copenhagen	33	12	10	11	46	55	52	+3	48.35	-2.35
8	Viborg	33	13	5	15	44	61	59	+2	39.33	+4.67
9	Silkeborg	33	10	14	9	44	52	53	-1	51.73	-7.73
10	Aarhus GF	33	11	10	12	43	45	55	-10	44.35	-1.35
11	Aarhus Fremad Relegated	33	7	8	18	29	51	73	-22	35.68	-6.68
12	B.93 Kobenhavn Relegated	33	3	3	27	12	22	80	-58	21.29	-9.29

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	Lyngby	52	42.20	+9.80
2	Aalborg	64	55.77	+8.23
3	Viborg	44	39.33	+4.67
4	AB Copenhagen	56	52.16	+3.84
5	Herfolge	47	44.26	+2.74

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	B.93 Kobenhavn	12	21.29	-9.29
2	Silkeborg	44	51.73	-7.73
3	Aarhus Fremad	29	35.68	-6.68
4	FC Copenhagen	46	48.35	-2.35
5	Vejle BK	47	48.56	-1.56

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	AB Copenhagen	6	Aug 30 – Oct 18	1 in 190
2	Herfolge	4	Jul 26 – Aug 16	1 in 47
3	Aalborg	4	Apr 1 – Apr 19	1 in 40
4	Viborg	3	May 9 – May 21	1 in 17
5	Lyngby	3	Sep 13 – Sep 26	1 in 16

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	AB Copenhagen	4	May 5 – May 20	1 in 358
2	B.93 Kobenhavn	9	Mar 21 – May 9	1 in 52
3	Viborg	5	Oct 18 – Nov 15	1 in 49
4	FC Copenhagen	3	Apr 30 – May 9	1 in 21
5	Brondby	2	Aug 7 – Aug 16	1 in 19

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Aalborg	16	Mar 14 – Jun 13	1 in 160
2	Lyngby	7	Apr 5 – May 9	1 in 45
3	Herfolge	8	Jul 26 – Sep 20	1 in 43
4	FC Copenhagen	9	Sep 27 – Nov 29	1 in 41
5	Silkeborg	10	Sep 26 – Mar 14	1 in 32

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	AB Copenhagen	4	May 5 – May 20	1 in 22
2	FC Copenhagen	6	Apr 30 – May 24	1 in 15
3	Aarhus Fremad	9	Nov 8 – Apr 5	1 in 13
4	Aalborg	4	Nov 1 – Mar 7	1 in 12
5	Herfolge	6	Sep 27 – Nov 8	1 in 12

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
Aalborg	1795	64	+2	8	9.7	-1.7
Brondby	1843	61	+4	7	9.5	-2.5
AB Copenhagen	1708	56	-11	6	6.8	-0.8
Lyngby	1683	52	+15	10	6.8	+3.2
Herfolge	1692	47	+17	10	7.6	+2.4
Vejle BK	1703	47	+8	9	6.5	+2.5
FC Copenhagen	1696	46	-1	7	6.4	+0.6
Viborg	1673	44	+22	10	6.6	+3.4
Silkeborg	1718	44	-15	6	7.6	-1.6
Aarhus GF	1663	43	-2	7	7.2	-0.2
Aarhus Fremad	1585	29	-9	5	4.9	+0.1
B.93 Kobenhavn	1428	12	-28	0	3.1	-3.1

Head-to-Head

Each cell shows a team's record in that matchup (row vs column, formatted W-D-L) with the model's expected points on the line below. Navy-tinted cells mean the team beat the model's expectations by more than one point in that matchup; gold-tinted cells mean they fell short by the same margin.

Beat expectations Fell short Within expectations

Team	AC	AAL	AF	AG	BK	BRO	FC	HER	LYN	SIL	VB	VIB
AB Copenhagen	—	0-1-2 3.97	3-0-0 5.22	1-1-1 4.99	2-0-1 7.02	1-0-2 3.37	1-1-1 4.56	3-0-0 4.90	1-0-2 4.90	2-1-0 3.84	2-0-1 4.69	1-1-1 5.21
Aalborg	2-1-0 4.27	—	3-0-0 6.05	2-0-1 5.11	3-0-0 6.72	2-1-0 3.49	1-2-0 5.12	0-2-1 4.92	0-3-0 5.16	0-2-1 4.50	3-0-0 4.95	1-2-0 5.41
Aarhus Fremad	0-0-3 3.05	0-0-3 2.28	—	1-1-1 3.16	3-0-0 5.71	0-1-2 1.99	0-2-1 2.95	0-1-2 3.13	0-1-2 3.77	0-1-2 2.91	0-1-2 2.98	3-0-0 3.99
Aarhus GF	1-1-1 3.26	1-0-2 3.14	1-1-1 5.09	—	2-0-1 6.19	0-1-2 2.72	2-1-0 3.44	1-2-0 3.87	1-2-0 4.46	0-0-3 3.69	1-1-1 3.61	1-1-1 4.67
B.93 Kobenhavn	1-0-2 1.48	0-0-3 1.73	0-0-3 2.58	1-0-2 2.16	—	1-0-2 1.49	0-1-2 2.04	0-1-2 2.04	0-0-3 2.04	0-1-2 1.66	0-0-3 2.01	0-0-3 2.37
Brondby	2-0-1 4.87	0-1-2 4.74	2-1-0 6.38	2-1-0 5.57	2-0-1 7.01	—	1-0-2 5.37	3-0-0 5.78	2-0-1 5.88	3-0-0 5.21	1-1-1 5.28	1-0-2 6.25
FC Copenhagen	1-1-1 3.66	0-2-1 3.13	1-2-0 5.30	0-1-2 4.79	2-1-0 6.34	2-0-1 2.89	—	1-0-2 4.78	2-0-1 4.70	0-3-0 3.63	1-0-2 4.08	2-0-1 5.37
Herfolge	0-0-3 3.33	1-2-0 3.31	2-1-0 5.11	0-2-1 4.35	2-1-0 6.33	0-0-3 2.52	2-0-1 3.46	—	1-1-1 4.21	1-2-0 3.36	1-2-0 4.03	2-0-1 4.22
Lyngby	2-0-1 3.34	0-3-0 3.09	2-1-0 4.46	0-2-1 3.76	3-0-0 6.33	1-0-2 2.43	1-0-2 3.53	1-1-1 4.01	—	0-3-0 3.52	3-0-0 3.54	1-0-2 4.64
Silkeborg	0-1-2 4.38	1-2-0 3.72	2-1-0 5.35	3-0-0 4.53	2-1-0 6.79	0-0-3 3.05	0-3-0 4.60	0-2-1 4.88	0-3-0 4.71	—	2-0-1 4.82	0-1-2 5.18
Vejle BK	1-0-2 3.54	0-0-3 3.28	2-1-0 5.28	1-1-1 4.61	3-0-0 6.36	1-1-1 2.99	2-0-1 4.14	0-2-1 4.19	0-0-3 4.69	1-0-2 3.42	—	3-0-0 5.06
Viborg	1-1-1 3.06	0-2-1 2.86	0-0-3 4.23	1-1-1 3.56	3-0-0 5.94	2-0-1 2.11	1-0-2 2.90	1-0-2 4.00	2-0-1 3.58	2-1-0 3.07	0-0-3 3.18	—

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	+9.1
Allowed	0.77	-8.4
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	6.57%	8.33%	4.29%	2.27%	0.76%	1.01%	23.23%
1	8.33%	9.09%	6.06%	4.55%	2.27%	1.26%	31.57%
2	4.29%	6.06%	5.56%	3.28%	2.02%	1.01%	22.22%
3	2.27%	4.55%	3.28%	3.54%	0.51%	—	14.14%
4	0.76%	2.27%	2.02%	0.51%	—	—	5.56%
5+	1.01%	1.26%	1.01%	—	—	—	3.28%
Total	23.23%	31.57%	22.22%	14.14%	5.56%	3.28%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.58	1.58	+0.00
SD	1.34	1.34	1.90
CV	0.85	0.85	—
Max	7	7	+7
Min	0	0	-7

Games Played: 198

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	12.12%	3.03%	3.03%	3.03%	—	24.24%
1	21.21%	12.12%	—	9.09%	—	—	42.42%
2	6.06%	6.06%	—	3.03%	—	—	15.15%
3	3.03%	3.03%	—	—	—	—	6.06%
4	—	6.06%	3.03%	—	—	—	9.09%
5+	3.03%	—	—	—	—	—	3.03%
Total	36.36%	39.39%	6.06%	15.15%	3.03%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.48	1.09	+0.39
SD	1.54	1.16	2.11
CV	1.04	1.06	—
Max	7	4	+7
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	15.15%	3.03%	—	—	—	—	18.18%
1	9.09%	12.12%	—	—	—	—	21.21%
2	6.06%	9.09%	6.06%	3.03%	3.03%	—	27.27%
3	3.03%	6.06%	3.03%	6.06%	—	—	18.18%
4	3.03%	—	3.03%	3.03%	—	—	9.09%
5+	—	3.03%	3.03%	—	—	—	6.06%
Total	36.36%	33.33%	15.15%	12.12%	3.03%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.97	1.12	+0.85
SD	1.45	1.14	1.37
CV	0.73	1.02	—
Max	5	4	+4
Min	0	0	-2

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.55	2.21	-0.67
SD	1.03	1.19	1.59
CV	0.67	0.54	—
Max	4	4	+2
Min	0	0	-3

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.36	1.67	-0.30
SD	0.93	1.22	1.47
CV	0.68	0.73	—
Max	3	4	+2
Min	0	0	-4

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	0.67	2.42	-1.76
SD	0.92	1.68	1.92
CV	1.39	0.69	—
Max	4	7	+2
Min	0	0	-7

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	15.15%	3.03%	—	—	—	24.24%
1	3.03%	3.03%	6.06%	—	—	—	12.12%
2	3.03%	12.12%	—	3.03%	—	3.03%	21.21%
3	9.09%	6.06%	3.03%	3.03%	—	—	21.21%
4	3.03%	6.06%	—	—	—	—	9.09%
5+	3.03%	6.06%	3.03%	—	—	—	12.12%
Total	27.27%	48.48%	15.15%	6.06%	—	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.21	1.12	+1.09
SD	1.80	1.08	2.13
CV	0.81	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%	12.12%	3.03%	3.03%	—	—	24.24%
1	12.12%	3.03%	3.03%	3.03%	3.03%	—	24.24%
2	3.03%	3.03%	12.12%	3.03%	—	—	21.21%
3	3.03%	3.03%	6.06%	9.09%	3.03%	—	24.24%
4	—	—	3.03%	—	—	—	3.03%
5+	—	3.03%	—	—	—	—	3.03%
Total	24.24%	24.24%	27.27%	18.18%	6.06%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.67	1.58	+0.09
SD	1.34	1.23	1.55
CV	0.80	0.78	—
Max	5	4	+4
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	12.12%	12.12%	3.03%	—	—	—	27.27%
1	9.09%	15.15%	9.09%	—	—	3.03%	36.36%
2	3.03%	3.03%	6.06%	3.03%	—	—	15.15%
3	6.06%	9.09%	3.03%	—	—	—	18.18%
4	—	3.03%	—	—	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	30.30%	42.42%	21.21%	3.03%	—	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.33	1.09	+0.24
SD	1.16	1.07	1.52
CV	0.87	0.98	—
Max	4	5	+3
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	3.03%	3.03%	3.03%	—	3.03%	18.18%
1	3.03%	15.15%	—	3.03%	—	3.03%	24.24%
2	6.06%	12.12%	6.06%	3.03%	—	6.06%	33.33%
3	—	12.12%	6.06%	3.03%	—	—	21.21%
4	—	—	3.03%	—	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	15.15%	42.42%	18.18%	12.12%	—	12.12%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.67	1.82	-0.15
SD	1.11	1.65	2.02
CV	0.67	0.91	—
Max	4	6	+2
Min	0	0	-6

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.58	1.61	-0.03
SD	1.20	1.20	1.40
CV	0.76	0.75	—
Max	4	4	+3
Min	0	0	-3

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.64	1.45	+0.18
SD	1.34	1.33	1.84
CV	0.82	0.91	—
Max	4	5	+4
Min	0	0	-3

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.85	1.79	+0.06
SD	1.60	1.43	2.26
CV	0.87	0.80	—
Max	5	4	+5
Min	0	0	-4

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	1843	61	62.47	-1.47	46.0%	45	51	57	62	67	74	82
Aalborg	1795	64	55.77	+8.23	89.0%	36	44	51	55	61	68	77
Silkeborg	1718	44	51.73	-7.73	14.0%	36	39	47	51	56	63	77
AB Copenhagen	1708	56	52.16	+3.84	73.0%	27	42	47	53	58	64	67
Vejle BK	1703	47	48.56	-1.56	43.0%	27	36	44	49	53	60	63
FC Copenhagen	1696	46	48.35	-2.35	40.0%	28	35	44	48	54	61	68
Herfolge	1692	47	44.26	+2.74	64.0%	29	32	38	45	49	55	61
Lyngby	1683	52	42.20	+9.80	91.0%	20	29	36	42	48	54	63
Viborg	1673	44	39.33	+4.67	72.0%	20	28	34	39	45	52	57
Aarhus GF	1663	43	44.35	-1.35	48.0%	26	31	40	44	49	57	62
Aarhus Fremad	1585	29	35.68	-6.68	20.0%	16	23	31	35	41	46	57
B.93 Kobenhavn	1428	12	21.29	-9.29	7.0%	6	10	17	21	25	32	39

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

+12.63%

Clear Edge

43.94%24.75%31.31%

Elo Value

Home Edge

160 Elo

0.006 goals per Elo point

044.10400

Scoring Tilt

Expected

+0.33 goals

Neutral

-2+0.28+2

Title Race

How these are measured

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

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

Title-Race Openness

2.2

One-Team Race

134610

Champion Preseason Odds

24%

Aalborg, 2nd of 12

LongshotFavorite

Title Margin

Expected

0.09/gm

Tight Race

00.180.5/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 5.78 * Some Luck: 5.78 to 8.67 * Lucky: 8.67 to 11.55 * Wild Swing: 11.55 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 1.36 * Close: 1.36 to 2.04 * Off: 2.04 to 2.72 * Way Off: 2.72 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 0.58 * A Surprise: 0.58 to 0.93 * Several Surprises: 0.93 to 1.28 * Many Surprises: 1.28 and up.

Luck Spread

Expected

5.85 points

Some Luck

07.2218

Average Finish Error

Expected

1.67

01.704

Biggest Overachiever

Expected 95.83%

91.00%

Lyngby

50100

Biggest Underachiever

Expected 4.17%

7.00%

B.93 Kobenhavn

050

Season Outliers

Expected

0 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

0.15

Top-Heavy

00.120.5

Noll-Scully

Elo SD: 102.59

1.84

Strong Separation

0.651.351.61.92.5

Interquartile Edge

56%

Even

50%59%69%100%

Best vs. Worst

Baseline

92%

Dominant

50%89%100%

Close Games

Expected

61%

Frequent

0%57%100%

Blowouts

Expected

17%

Occasional

0%19%100%

Predictability

How these are measured

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

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

Brier Score

Expected

0.60

Predictable

00.612

Matchup Imbalance

0.33

Notable Separation

00.280.370.5

Strangeness

Expected

0.68

Very Predictable

01.002

Repeatability

0.49

Some Carryover

00.30.50.631

Upset Rate

Expected

25%

As Expected

0%25%50%

Clear Favorite Upset Rate

Expected

24%

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

Probability calibration

0.89

Excellent

0.010.050.10.51

Calibration slope

Ideal

1.03

Calibrated

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.061

Well Within Noise

00.1200.3

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
Aalborg	24.00%	24.00%	12.00%	17.00%	3.00%	9.00%	6.00%	3.00%	1.00%	1.00%	—	—
Brondby	62.00%	22.00%	7.00%	3.00%	4.00%	1.00%	1.00%	—	—	—	—	—
AB Copenhagen	8.00%	11.00%	26.00%	15.00%	7.00%	15.00%	13.00%	1.00%	1.00%	1.00%	1.00%	1.00%
Lyngby	1.00%	2.00%	2.00%	6.00%	5.00%	13.00%	12.00%	13.00%	19.00%	16.00%	10.00%	1.00%
Vejle BK	1.00%	12.00%	10.00%	14.00%	23.00%	10.00%	2.00%	12.00%	8.00%	6.00%	2.00%	—
Herfolge	—	2.00%	6.00%	8.00%	12.00%	11.00%	14.00%	14.00%	10.00%	12.00%	10.00%	1.00%
FC Copenhagen	1.00%	7.00%	14.00%	10.00%	10.00%	20.00%	13.00%	4.00%	13.00%	6.00%	1.00%	1.00%
Viborg	—	1.00%	2.00%	1.00%	8.00%	6.00%	7.00%	16.00%	14.00%	27.00%	15.00%	3.00%
Silkeborg	3.00%	17.00%	10.00%	23.00%	18.00%	4.00%	8.00%	8.00%	6.00%	3.00%	—	—
Aarhus GF	—	1.00%	11.00%	3.00%	6.00%	9.00%	19.00%	20.00%	12.00%	7.00%	12.00%	—
Aarhus Fremad	—	1.00%	—	—	4.00%	2.00%	4.00%	9.00%	16.00%	18.00%	40.00%	6.00%
B.93 Kobenhavn	—	—	—	—	—	—	1.00%	—	—	3.00%	9.00%	87.00%

Points Required Per Position

The empirical CDF of simulated point totals per finishing position. Each curve shows, for one position (1st, 2nd, ..., last), the spread of point totals teams accumulated across simulations. Reading the curve at the 50% mark gives the median points typically needed to finish at that position. Steep curves mean the position is tightly clustered around a particular point range; shallow curves mean the position came with a wide variety of point totals.

Next-Season Status

Across 100,000 regular-season simulations, the probability of each team's next-season status. Columns appear in best-to-worst outcome order: promotion-positive on the left, relegation-positive on the right. Cells with darker shading indicate higher likelihood.

Team	Same level	Direct relegation
Aalborg	100%	—
Brondby	100%	—
Silkeborg	100%	—
AB Copenhagen	98.00%	2.00%
FC Copenhagen	98.00%	2.00%
Vejle BK	98.00%	2.00%
Herfolge	89.00%	11.00%
Lyngby	89.00%	11.00%
Aarhus GF	88.00%	12.00%
Viborg	82.00%	18.00%
Aarhus Fremad	54.00%	46.00%
B.93 Kobenhavn	4.00%	96.00%

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
1998-07-26	Aarhus GF	W 4-0	51.3	1710	1699	44.61%	25.84%	29.55%	+0.34	+18.9	3
1998-07-26	@ Aalborg	L 0-4	51.3	1699	1710	29.55%	25.84%	44.61%	-0.34	-18.9	0
1998-07-26	AB Copenhagen	L 1-4	58.4	1645	1695	36.09%	26.24%	37.67%	-0.03	-14.2	0
1998-07-26	@ Aarhus Fremad	W 4-1	58.4	1695	1645	37.67%	26.24%	36.09%	+0.03	+14.2	3
1998-07-26	Brondby	L 1-5	49.1	1536	1792	15.39%	20.92%	63.69%	-1.33	-8.5	0
1998-07-26	@ B.93 Kobenhavn	W 5-1	49.1	1792	1536	63.69%	20.92%	15.39%	+1.33	+8.5	3
1998-07-26	Silkeborg	D 0-0	67.1	1672	1745	32.86%	26.13%	41.01%	-0.18	+0.3	1
1998-07-26	@ Lyngby	D 0-0	67.1	1745	1672	41.01%	26.13%	32.86%	+0.18	-0.3	1
1998-07-26	FC Copenhagen	L 1-3	63.0	1696	1709	41.18%	26.12%	32.70%	+0.19	-11.1	0
1998-07-26	@ Vejle BK	W 3-1	63.0	1709	1696	32.70%	26.12%	41.18%	-0.19	+11.1	3
1998-07-26	Herfolge	L 0-3	55.3	1650	1638	44.68%	25.83%	29.49%	+0.35	-19.9	0
1998-07-26	@ Viborg	W 3-0	55.3	1638	1650	29.49%	25.83%	44.68%	-0.35	+19.9	3
1998-08-02	Lyngby	W 1-0	57.7	1680	1672	44.20%	25.88%	29.92%	+0.33	+5.3	3
1998-08-02	@ Aarhus GF	L 0-1	57.7	1672	1680	29.92%	25.88%	44.20%	-0.33	-5.3	1
1998-08-02	Aalborg	D 1-1	71.1	1709	1729	40.39%	26.16%	33.44%	+0.15	-0.2	4
1998-08-02	@ AB Copenhagen	D 1-1	71.1	1729	1709	33.44%	26.16%	40.39%	-0.15	+0.2	4
1998-08-02	Viborg	W 3-2	64.1	1720	1630	54.88%	23.91%	21.21%	+0.84	+3.5	6
1998-08-02	@ FC Copenhagen	L 2-3	64.1	1630	1720	21.21%	23.91%	54.88%	-0.84	-3.5	0
1998-08-02	B.93 Kobenhavn	W 3-1	51.9	1658	1527	59.63%	22.45%	17.92%	+1.10	+5.5	6
1998-08-02	@ Herfolge	L 1-3	51.9	1527	1658	17.92%	22.45%	59.63%	-1.10	-5.5	0
1998-08-02	Vejle BK	W 1-0	56.2	1745	1684	51.12%	24.81%	24.07%	+0.65	+4.4	4
1998-08-02	@ Silkeborg	L 0-1	56.2	1684	1745	24.07%	24.81%	51.12%	-0.65	-4.4	0
1998-08-03	Aarhus Fremad	W 2-0	48.7	1801	1631	63.80%	20.87%	15.32%	+1.34	+5.4	6
1998-08-03	@ Brondby	L 0-2	48.7	1631	1801	15.32%	20.87%	63.80%	-1.34	-5.4	0
1998-08-07	Brondby	W 1-0	62.2	1729	1806	32.35%	26.10%	41.55%	-0.21	+6.9	7
1998-08-07	@ Aalborg	L 0-1	62.2	1806	1729	41.55%	26.10%	32.35%	+0.21	-6.9	6
1998-08-07	Aarhus GF	W 3-0	52.3	1680	1685	42.36%	26.04%	31.60%	+0.24	+15.3	3
1998-08-07	@ Vejle BK	L 0-3	52.3	1685	1680	31.60%	26.04%	42.36%	-0.24	-15.3	3
1998-08-07	Silkeborg	W 2-1	67.8	1626	1749	26.79%	25.42%	47.79%	-0.49	+7.2	3
1998-08-07	@ Viborg	L 1-2	67.8	1749	1626	47.79%	25.42%	26.79%	+0.49	-7.2	4
1998-08-09	B.93 Kobenhavn	W 2-0	46.7	1626	1522	56.51%	23.45%	20.04%	+0.93	+7.1	3
1998-08-09	@ Aarhus Fremad	L 0-2	46.7	1522	1626	20.04%	23.45%	56.51%	-0.93	-7.1	0
1998-08-09	Herfolge	L 0-3	58.0	1724	1664	51.12%	24.81%	24.07%	+0.65	-22.2	6
1998-08-09	@ FC Copenhagen	W 3-0	58.0	1664	1724	24.07%	24.81%	51.12%	-0.65	+22.2	9
1998-08-09	AB Copenhagen	L 0-3	54.1	1667	1709	37.14%	26.25%	36.61%	+0.01	-17.3	1
1998-08-09	@ Lyngby	W 3-0	54.1	1709	1667	36.61%	26.25%	37.14%	-0.01	+17.3	7
1998-08-16	Viborg	W 3-2	65.6	1670	1634	48.05%	25.38%	26.57%	+0.51	+4.3	6
1998-08-16	@ Aarhus GF	L 2-3	65.6	1634	1670	26.57%	25.38%	48.05%	-0.51	-4.3	3
1998-08-16	Vejle BK	L 0-1	63.3	1726	1695	47.34%	25.49%	27.18%	+0.47	-7.6	7
1998-08-16	@ AB Copenhagen	W 1-0	63.3	1695	1726	27.18%	25.49%	47.34%	-0.47	+7.6	6
1998-08-16	Aalborg	L 1-5	49.2	1514	1736	17.78%	22.37%	59.84%	-1.11	-9.9	0
1998-08-16	@ B.93 Kobenhavn	W 5-1	49.2	1736	1514	59.84%	22.37%	17.78%	+1.11	+9.9	10
1998-08-16	Lyngby	L 2-3	76.3	1799	1650	61.67%	21.71%	16.62%	+1.21	-8.4	6
1998-08-16	@ Brondby	W 3-2	76.3	1650	1799	16.62%	21.71%	61.67%	-1.21	+8.4	4
1998-08-16	Aarhus Fremad	W 3-1	57.0	1686	1633	50.21%	24.99%	24.80%	+0.61	+7.4	12
1998-08-16	@ Herfolge	L 1-3	57.0	1633	1686	24.80%	24.99%	50.21%	-0.61	-7.5	3
1998-08-16	FC Copenhagen	D 3-3	80.7	1742	1702	48.51%	25.30%	26.19%	+0.53	-0.5	5
1998-08-16	@ Silkeborg	D 3-3	80.7	1702	1742	26.19%	25.30%	48.51%	-0.53	+0.5	7
1998-08-21	Vejle BK	W 5-2	59.0	1746	1703	48.89%	25.24%	25.87%	+0.55	+9.5	13
1998-08-21	@ Aalborg	L 2-5	59.0	1703	1746	25.87%	25.24%	48.89%	-0.55	-9.5	6
1998-08-21	Silkeborg	W 3-0	51.0	1791	1741	49.71%	25.09%	25.20%	+0.59	+12.7	9
1998-08-21	@ Brondby	L 0-3	51.0	1741	1791	25.20%	25.09%	49.71%	-0.59	-12.7	5
1998-08-23	Viborg	W 3-1	58.4	1625	1629	42.59%	26.03%	31.39%	+0.25	+9.1	6
1998-08-23	@ Aarhus Fremad	L 1-3	58.4	1629	1625	31.39%	26.03%	42.59%	-0.25	-9.0	3
1998-08-23	Aarhus GF	D 1-1	71.1	1719	1674	49.07%	25.20%	25.73%	+0.55	-0.8	8
1998-08-23	@ AB Copenhagen	D 1-1	71.1	1674	1719	25.73%	25.20%	49.07%	-0.55	+0.8	7
1998-08-23	FC Copenhagen	D 0-0	65.3	1505	1702	19.60%	23.26%	57.13%	-0.96	+1.5	1
1998-08-23	@ B.93 Kobenhavn	D 0-0	65.3	1702	1505	57.13%	23.26%	19.60%	+0.96	-1.5	8
1998-08-23	Herfolge	D 0-0	66.6	1658	1693	38.12%	26.24%	35.64%	+0.05	-0.1	5
1998-08-23	@ Lyngby	D 0-0	66.6	1693	1658	35.64%	26.24%	38.12%	-0.05	+0.1	13
1998-08-30	Brondby	W 1-0	63.1	1701	1803	29.14%	25.78%	45.08%	-0.37	+7.3	11
1998-08-30	@ FC Copenhagen	L 0-1	63.1	1803	1701	45.08%	25.78%	29.14%	+0.37	-7.3	9
1998-08-30	Aarhus GF	D 1-1	70.8	1693	1675	45.61%	25.72%	28.66%	+0.39	-0.6	14
1998-08-30	@ Herfolge	D 1-1	70.8	1675	1693	28.66%	25.72%	45.61%	-0.39	+0.6	8
1998-08-30	Aalborg	D 2-2	76.2	1658	1755	29.77%	25.86%	44.37%	-0.33	+0.4	6
1998-08-30	@ Lyngby	D 2-2	76.2	1755	1658	44.37%	25.86%	29.77%	+0.33	-0.4	14
1998-08-30	AB Copenhagen	L 1-2	67.5	1729	1718	44.60%	25.84%	29.56%	+0.34	-6.8	5
1998-08-30	@ Silkeborg	W 2-1	67.5	1718	1729	29.56%	25.84%	44.60%	-0.34	+6.8	11
1998-08-30	Aarhus Fremad	W 4-2	61.1	1693	1634	50.94%	24.85%	24.21%	+0.65	+6.5	9
1998-08-30	@ Vejle BK	L 2-4	61.1	1634	1693	24.21%	24.85%	50.94%	-0.65	-6.5	6
1998-08-30	B.93 Kobenhavn	W 5-0	43.3	1620	1506	57.67%	23.10%	19.24%	+0.99	+15.9	6
1998-08-30	@ Viborg	L 0-5	43.3	1506	1620	19.24%	23.10%	57.67%	-0.99	-15.9	1
1998-09-11	Silkeborg	L 2-3	69.8	1676	1722	36.59%	26.25%	37.16%	-0.01	-5.6	8
1998-09-11	@ Aarhus GF	W 3-2	69.8	1722	1676	37.16%	26.25%	36.59%	+0.01	+5.6	8
1998-09-11	Vejle BK	L 0-1	50.9	1490	1700	18.66%	22.82%	58.51%	-1.04	-3.5	1
1998-09-11	@ B.93 Kobenhavn	W 1-0	50.9	1700	1490	58.51%	22.82%	18.66%	+1.04	+3.5	12
1998-09-11	Viborg	L 2-5	68.8	1796	1636	62.79%	21.28%	15.93%	+1.28	-19.2	9
1998-09-11	@ Brondby	W 5-2	68.8	1636	1796	15.93%	21.28%	62.79%	-1.28	+19.2	9
1998-09-13	Lyngby	L 1-2	64.4	1628	1658	38.86%	26.22%	34.92%	+0.09	-6.1	6
1998-09-13	@ Aarhus Fremad	W 2-1	64.4	1658	1628	34.92%	26.22%	38.86%	-0.09	+6.2	9
1998-09-13	FC Copenhagen	W 4-1	56.8	1725	1708	45.39%	25.75%	28.86%	+0.38	+12.0	14
1998-09-13	@ AB Copenhagen	L 1-4	56.8	1708	1725	28.86%	25.75%	45.39%	-0.38	-12.0	11
1998-09-13	Aalborg	D 0-0	67.3	1693	1755	34.37%	26.20%	39.42%	-0.11	+0.2	15
1998-09-13	@ Herfolge	D 0-0	67.3	1755	1693	39.42%	26.20%	34.37%	+0.11	-0.2	15
1998-09-20	Aarhus Fremad	W 3-1	54.7	1755	1622	59.81%	22.39%	17.81%	+1.11	+5.4	18
1998-09-20	@ Aalborg	L 1-3	54.7	1622	1755	17.81%	22.39%	59.81%	-1.11	-5.4	6
1998-09-20	Aarhus GF	L 0-2	59.1	1696	1670	46.64%	25.59%	27.77%	+0.44	-14.2	11
1998-09-20	@ FC Copenhagen	W 2-0	59.1	1670	1696	27.77%	25.59%	46.64%	-0.44	+14.2	11
1998-09-20	B.93 Kobenhavn	W 2-1	52.7	1664	1487	64.67%	20.52%	14.82%	+1.39	+2.6	12
1998-09-20	@ Lyngby	L 1-2	52.7	1487	1664	14.82%	20.52%	64.67%	-1.39	-2.6	1
1998-09-20	Herfolge	L 0-1	63.4	1727	1693	47.76%	25.42%	26.82%	+0.49	-7.7	8
1998-09-20	@ Silkeborg	W 1-0	63.4	1693	1727	26.82%	25.42%	47.76%	-0.49	+7.7	18
1998-09-20	Brondby	L 1-2	64.2	1703	1777	32.81%	26.13%	41.06%	-0.18	-5.4	12
1998-09-20	@ Vejle BK	W 2-1	64.2	1777	1703	41.06%	26.13%	32.81%	+0.18	+5.4	12
1998-09-20	AB Copenhagen	L 0-1	58.6	1655	1737	31.76%	26.06%	42.18%	-0.23	-5.6	9
1998-09-20	@ Viborg	W 1-0	58.6	1737	1655	42.18%	26.06%	31.76%	+0.23	+5.6	17
1998-09-26	Brondby	L 1-3	59.8	1684	1782	29.70%	25.85%	44.44%	-0.34	-8.7	11
1998-09-26	@ Aarhus GF	W 3-1	59.8	1782	1684	44.44%	25.85%	29.70%	+0.34	+8.7	15
1998-09-26	B.93 Kobenhavn	W 2-0	43.9	1720	1484	70.42%	17.89%	11.69%	+1.75	+3.9	11
1998-09-26	@ Silkeborg	L 0-2	43.9	1484	1720	11.69%	17.89%	70.42%	-1.75	-3.9	1
1998-09-26	Lyngby	L 1-2	67.6	1698	1667	47.32%	25.49%	27.19%	+0.47	-7.2	12
1998-09-26	@ Vejle BK	W 2-1	67.6	1667	1698	27.19%	25.49%	47.32%	-0.47	+7.2	15
1998-09-27	Herfolge	W 1-0	57.0	1742	1701	48.71%	25.27%	26.02%	+0.54	+4.8	20
1998-09-27	@ AB Copenhagen	L 0-1	57.0	1701	1742	26.02%	25.27%	48.71%	-0.54	-4.8	18
1998-09-27	Aarhus Fremad	D 2-2	75.5	1682	1616	51.80%	24.66%	23.54%	+0.69	-0.7	12
1998-09-27	@ FC Copenhagen	D 2-2	75.5	1616	1682	23.54%	24.66%	51.80%	-0.69	+0.7	7
1998-09-27	Aalborg	L 1-2	62.3	1650	1760	28.20%	25.65%	46.15%	-0.42	-4.8	9
1998-09-27	@ Viborg	W 2-1	62.3	1760	1650	46.15%	25.65%	28.20%	+0.42	+4.8	21
1998-10-04	FC Copenhagen	D 3-3	81.0	1765	1681	54.04%	24.13%	21.83%	+0.80	-0.7	22
1998-10-04	@ Aalborg	D 3-3	81.0	1681	1765	21.83%	24.13%	54.04%	-0.80	+0.7	13
1998-10-04	Silkeborg	D 2-2	75.6	1617	1724	28.65%	25.72%	45.63%	-0.39	+0.4	8
1998-10-04	@ Aarhus Fremad	D 2-2	75.6	1724	1617	45.63%	25.72%	28.65%	+0.39	-0.4	12
1998-10-04	Aarhus GF	L 1-2	55.2	1480	1676	19.79%	23.34%	56.87%	-0.95	-3.5	1
1998-10-04	@ B.93 Kobenhavn	W 2-1	55.2	1676	1480	56.87%	23.34%	19.79%	+0.95	+3.5	14
1998-10-04	AB Copenhagen	L 0-1	64.2	1791	1747	49.01%	25.21%	25.77%	+0.55	-7.8	15
1998-10-04	@ Brondby	W 1-0	64.2	1747	1791	25.77%	25.21%	49.01%	-0.55	+7.8	23
1998-10-04	Vejle BK	D 2-2	76.0	1696	1691	43.84%	25.92%	30.25%	+0.31	-0.3	19
1998-10-04	@ Herfolge	D 2-2	76.0	1691	1696	30.25%	25.92%	43.84%	-0.31	+0.3	13
1998-10-04	Viborg	L 2-3	72.0	1674	1645	47.10%	25.52%	27.38%	+0.46	-6.8	15
1998-10-04	@ Lyngby	W 3-2	72.0	1645	1674	27.38%	25.52%	47.10%	-0.46	+6.8	12
1998-10-16	Herfolge	W 5-1	52.9	1783	1696	54.50%	24.01%	21.49%	+0.82	+11.9	18
1998-10-16	@ Brondby	L 1-5	52.9	1696	1783	21.49%	24.01%	54.50%	-0.82	-11.9	19
1998-10-18	Aarhus Fremad	W 3-2	64.6	1679	1618	51.30%	24.77%	23.93%	+0.66	+4.0	17
1998-10-18	@ Aarhus GF	L 2-3	64.6	1618	1679	23.93%	24.77%	51.30%	-0.66	-4.0	8
1998-10-18	B.93 Kobenhavn	W 7-0	42.7	1755	1477	74.27%	15.93%	9.80%	+2.02	+10.3	26
1998-10-18	@ AB Copenhagen	L 0-7	42.7	1477	1755	9.80%	15.93%	74.27%	-2.02	-10.3	1
1998-10-18	Lyngby	W 5-1	54.9	1682	1667	45.11%	25.78%	29.11%	+0.37	+15.6	16
1998-10-18	@ FC Copenhagen	L 1-5	54.9	1667	1682	29.11%	25.78%	45.11%	-0.37	-15.6	15
1998-10-18	Aalborg	D 0-0	67.4	1723	1764	37.34%	26.24%	36.41%	+0.02	-0.0	13
1998-10-18	@ Silkeborg	D 0-0	67.4	1764	1723	36.41%	26.24%	37.34%	-0.02	+0.0	23
1998-10-18	Viborg	W 4-0	49.6	1691	1652	48.44%	25.31%	26.24%	+0.52	+17.1	16
1998-10-18	@ Vejle BK	L 0-4	49.6	1652	1691	26.24%	25.31%	48.44%	-0.52	-17.1	12
1998-10-25	Vejle BK	W 4-2	62.2	1764	1708	50.57%	24.92%	24.50%	+0.63	+6.6	26
1998-10-25	@ Aalborg	L 2-4	62.2	1708	1764	24.50%	24.92%	50.57%	-0.63	-6.6	16
1998-10-25	Brondby	W 1-0	66.4	1466	1795	11.46%	17.67%	70.87%	-1.78	+10.5	4
1998-10-25	@ B.93 Kobenhavn	L 0-1	66.4	1795	1466	70.87%	17.67%	11.46%	+1.78	-10.5	18
1998-10-25	FC Copenhagen	L 2-3	71.0	1684	1698	41.19%	26.12%	32.69%	+0.19	-6.1	19
1998-10-25	@ Herfolge	W 3-2	71.0	1698	1684	32.69%	26.12%	41.19%	-0.19	+6.1	19
1998-10-25	Aarhus Fremad	L 2-4	66.7	1634	1614	45.96%	25.68%	28.36%	+0.41	-10.9	12
1998-10-25	@ Viborg	W 4-2	66.7	1614	1634	28.36%	25.68%	45.96%	-0.41	+10.9	11
1998-10-30	Viborg	W 2-1	57.2	1785	1624	62.90%	21.24%	15.87%	+1.29	+2.8	21
1998-10-30	@ Brondby	L 1-2	57.2	1624	1785	15.87%	21.24%	62.90%	-1.29	-2.8	12
1998-11-01	Aalborg	D 2-2	76.4	1704	1771	33.65%	26.17%	40.17%	-0.14	+0.2	20
1998-11-01	@ FC Copenhagen	D 2-2	76.4	1771	1704	40.17%	26.17%	33.65%	+0.14	-0.2	27
1998-11-01	Aarhus GF	D 1-1	70.3	1652	1683	38.70%	26.22%	35.07%	+0.08	-0.1	16
1998-11-01	@ Lyngby	D 1-1	70.3	1683	1652	35.07%	26.22%	38.70%	-0.08	+0.1	18
1998-11-01	Herfolge	D 1-1	71.2	1723	1678	49.24%	25.17%	25.58%	+0.56	-0.8	14
1998-11-01	@ Silkeborg	D 1-1	71.2	1678	1723	25.58%	25.17%	49.24%	-0.56	+0.8	20
1998-11-01	B.93 Kobenhavn	W 2-0	43.7	1702	1477	69.38%	18.39%	12.22%	+1.69	+4.1	19
1998-11-01	@ Vejle BK	L 0-2	43.7	1477	1702	12.22%	18.39%	69.38%	-1.69	-4.2	4
1998-11-04	AB Copenhagen	W 3-2	72.7	1652	1765	27.84%	25.60%	46.56%	-0.44	+6.7	19
1998-11-04	@ Lyngby	L 2-3	72.7	1765	1652	46.56%	25.60%	27.84%	+0.44	-6.7	26
1998-11-08	Silkeborg	L 2-4	69.8	1771	1722	49.57%	25.11%	25.31%	+0.58	-11.5	27
1998-11-08	@ Aalborg	W 4-2	69.8	1722	1771	25.31%	25.11%	49.57%	-0.58	+11.5	17
1998-11-08	Lyngby	L 2-4	65.1	1624	1658	38.33%	26.23%	35.43%	+0.06	-9.4	11
1998-11-08	@ Aarhus Fremad	W 4-2	65.1	1658	1624	35.43%	26.23%	38.33%	-0.06	+9.4	22
1998-11-08	Brondby	L 0-4	54.9	1758	1787	39.06%	26.21%	34.72%	+0.10	-23.4	26
1998-11-08	@ AB Copenhagen	W 4-0	54.9	1787	1758	34.72%	26.21%	39.06%	-0.10	+23.4	24
1998-11-08	FC Copenhagen	L 1-2	54.5	1473	1704	17.09%	21.99%	60.92%	-1.17	-3.0	4
1998-11-08	@ B.93 Kobenhavn	W 2-1	54.5	1704	1473	60.92%	21.99%	17.09%	+1.17	+3.0	23
1998-11-08	Aarhus GF	D 0-0	66.8	1678	1683	42.44%	26.04%	31.52%	+0.25	-0.4	21
1998-11-08	@ Herfolge	D 0-0	66.8	1683	1678	31.52%	26.04%	42.44%	-0.25	+0.4	19
1998-11-08	Vejle BK	L 0-1	57.9	1621	1706	31.31%	26.02%	42.67%	-0.26	-5.5	12
1998-11-08	@ Viborg	W 1-0	57.9	1706	1621	42.67%	26.02%	31.31%	+0.26	+5.5	22
1998-11-15	Aarhus Fremad	D 1-1	73.0	1811	1615	66.52%	19.71%	13.76%	+1.50	-1.9	25
1998-11-15	@ Brondby	D 1-1	73.0	1615	1811	13.76%	19.71%	66.52%	-1.50	+1.9	12
1998-11-15	Viborg	W 4-2	59.8	1707	1615	54.99%	23.88%	21.13%	+0.85	+5.8	26
1998-11-15	@ FC Copenhagen	L 2-4	59.8	1615	1707	21.13%	23.88%	54.99%	-0.85	-5.8	12
1998-11-15	Herfolge	L 1-3	62.7	1668	1678	41.69%	26.09%	32.22%	+0.21	-11.2	22
1998-11-15	@ Lyngby	W 3-1	62.7	1678	1668	32.22%	26.09%	41.69%	-0.21	+11.2	24
1998-11-15	B.93 Kobenhavn	D 2-2	76.2	1734	1470	73.04%	16.57%	10.39%	+1.93	-1.7	18
1998-11-15	@ Silkeborg	D 2-2	76.2	1470	1734	10.39%	16.57%	73.04%	-1.93	+1.7	5
1998-11-15	AB Copenhagen	L 0-2	57.7	1711	1735	39.79%	26.19%	34.02%	+0.13	-12.5	22
1998-11-15	@ Vejle BK	W 2-0	57.7	1735	1711	34.02%	26.19%	39.79%	-0.13	+12.5	29
1998-11-18	Aarhus Fremad	W 1-0	53.2	1748	1617	59.56%	22.47%	17.97%	+1.10	+3.4	32
1998-11-18	@ AB Copenhagen	L 0-1	53.2	1617	1748	17.97%	22.47%	59.56%	-1.10	-3.4	12
1998-11-22	Aarhus Fremad	W 3-0	47.9	1713	1614	55.88%	23.63%	20.49%	+0.90	+10.5	29
1998-11-22	@ FC Copenhagen	L 0-3	47.9	1614	1713	20.49%	23.63%	55.88%	-0.90	-10.5	12
1998-11-22	AB Copenhagen	D 1-1	71.3	1732	1751	40.51%	26.16%	33.34%	+0.16	-0.2	19
1998-11-22	@ Silkeborg	D 1-1	71.3	1751	1732	33.34%	26.16%	40.51%	-0.16	+0.2	33
1998-11-25	Silkeborg	L 2-3	69.8	1684	1732	36.27%	26.24%	37.49%	-0.03	-5.5	19
1998-11-25	@ Aarhus GF	W 3-2	69.8	1732	1684	37.49%	26.24%	36.27%	+0.03	+5.5	22
1998-11-29	Herfolge	D 1-1	71.6	1759	1689	52.33%	24.55%	23.13%	+0.71	-1.0	28
1998-11-29	@ Aalborg	D 1-1	71.6	1689	1759	23.13%	24.55%	52.33%	-0.71	+1.0	25
1998-11-29	Vejle BK	D 3-3	79.3	1603	1699	29.97%	25.88%	44.15%	-0.32	+0.3	13
1998-11-29	@ Aarhus Fremad	D 3-3	79.3	1699	1603	44.15%	25.88%	29.97%	+0.32	-0.3	23
1998-11-29	FC Copenhagen	D 0-0	67.6	1751	1723	46.94%	25.54%	27.51%	+0.45	-0.7	34
1998-11-29	@ AB Copenhagen	D 0-0	67.6	1723	1751	27.51%	25.54%	46.94%	-0.45	+0.7	30
1998-11-29	Aarhus GF	W 4-2	67.3	1472	1678	18.89%	22.94%	58.17%	-1.02	+13.2	8
1998-11-29	@ B.93 Kobenhavn	L 2-4	67.3	1678	1472	58.17%	22.94%	18.89%	+1.02	-13.2	19
1998-11-29	Lyngby	W 6-0	47.9	1809	1657	61.95%	21.60%	16.44%	+1.23	+16.0	28
1998-11-29	@ Brondby	L 0-6	47.9	1657	1809	16.44%	21.60%	61.95%	-1.23	-16.0	22
1998-11-29	Silkeborg	D 3-3	80.0	1610	1738	26.21%	25.30%	48.49%	-0.53	+0.5	13
1998-11-29	@ Viborg	D 3-3	80.0	1738	1610	48.49%	25.30%	26.21%	+0.53	-0.5	23
1999-03-07	Aalborg	W 1-0	62.4	1665	1758	30.29%	25.92%	43.79%	-0.31	+7.2	22
1999-03-07	@ Aarhus GF	L 0-1	62.4	1758	1665	43.79%	25.92%	30.29%	+0.31	-7.1	28
1999-03-07	Brondby	D 0-0	67.8	1699	1825	26.40%	25.34%	48.26%	-0.52	+0.8	24
1999-03-07	@ Vejle BK	D 0-0	67.8	1825	1699	48.26%	25.34%	26.40%	+0.52	-0.8	29
1999-03-14	Silkeborg	L 0-1	56.1	1603	1737	25.60%	25.18%	49.22%	-0.56	-4.7	13
1999-03-14	@ Aarhus Fremad	W 1-0	56.1	1737	1603	49.22%	25.18%	25.60%	+0.56	+4.7	26
1999-03-14	Aalborg	L 0-3	43.9	1485	1751	14.79%	20.50%	64.71%	-1.39	-7.5	8
1999-03-14	@ B.93 Kobenhavn	W 3-0	43.9	1751	1485	64.71%	20.50%	14.79%	+1.39	+7.5	31
1999-03-14	FC Copenhagen	W 3-2	64.8	1824	1724	56.04%	23.59%	20.37%	+0.90	+3.4	32
1999-03-14	@ Brondby	L 2-3	64.8	1724	1824	20.37%	23.59%	56.04%	-0.90	-3.4	30
1999-03-14	Lyngby	L 1-2	68.3	1699	1641	50.94%	24.85%	24.21%	+0.65	-7.6	24
1999-03-14	@ Vejle BK	W 2-1	68.3	1641	1699	24.21%	24.85%	50.94%	-0.65	+7.6	25
1999-03-14	Herfolge	W 1-0	60.8	1610	1690	31.92%	26.07%	42.02%	-0.23	+6.9	16
1999-03-14	@ Viborg	L 0-1	60.8	1690	1610	42.02%	26.07%	31.92%	+0.23	-6.9	25
1999-03-15	Aarhus GF	W 1-0	55.5	1750	1672	53.38%	24.30%	22.33%	+0.77	+4.1	37
1999-03-15	@ AB Copenhagen	L 0-1	55.5	1672	1750	22.33%	24.30%	53.38%	-0.77	-4.2	22
1999-03-17	B.93 Kobenhavn	D 0-0	65.4	1683	1477	67.57%	19.24%	13.19%	+1.57	-2.2	26
1999-03-17	@ Herfolge	D 0-0	65.4	1477	1683	13.19%	19.24%	67.57%	-1.57	+2.2	9
1999-03-19	Vejle BK	L 0-1	63.2	1720	1692	47.00%	25.54%	27.46%	+0.46	-7.6	30
1999-03-19	@ FC Copenhagen	W 1-0	63.2	1692	1720	27.46%	25.54%	47.00%	-0.46	+7.6	27
1999-03-21	Viborg	D 1-1	71.9	1758	1617	60.77%	22.04%	17.18%	+1.16	-1.6	32
1999-03-21	@ Aalborg	D 1-1	71.9	1617	1758	17.18%	22.04%	60.77%	-1.16	+1.6	17
1999-03-21	Aarhus Fremad	D 1-1	69.9	1668	1599	52.26%	24.56%	23.18%	+0.71	-1.0	23
1999-03-21	@ Aarhus GF	D 1-1	69.9	1599	1668	23.18%	24.56%	52.26%	-0.71	+1.0	14
1999-03-21	AB Copenhagen	L 0-1	59.2	1681	1755	32.82%	26.13%	41.05%	-0.18	-5.7	26
1999-03-21	@ Herfolge	W 1-0	59.2	1755	1681	41.05%	26.13%	32.82%	+0.18	+5.7	40
1999-03-21	B.93 Kobenhavn	W 1-0	47.6	1648	1479	63.73%	20.90%	15.37%	+1.33	+2.8	28
1999-03-21	@ Lyngby	L 0-1	47.6	1479	1648	15.37%	20.90%	63.73%	-1.33	-2.9	9
1999-03-22	Brondby	L 1-2	63.9	1742	1827	31.23%	26.01%	42.76%	-0.26	-5.2	26
1999-03-22	@ Silkeborg	W 2-1	63.9	1827	1742	42.76%	26.01%	31.23%	+0.26	+5.2	35
1999-03-29	Aalborg	D 1-1	71.0	1651	1757	28.74%	25.73%	45.52%	-0.39	+0.6	29
1999-03-29	@ Lyngby	D 1-1	71.0	1757	1651	45.52%	25.73%	28.74%	+0.39	-0.6	33
1999-04-01	Herfolge	L 0-1	57.6	1600	1675	32.52%	26.11%	41.37%	-0.20	-5.7	14
1999-04-01	@ Aarhus Fremad	W 1-0	57.6	1675	1600	41.37%	26.11%	32.52%	+0.20	+5.7	29
1999-04-01	Aalborg	L 0-1	62.8	1760	1756	43.68%	25.93%	30.39%	+0.30	-7.1	40
1999-04-01	@ AB Copenhagen	W 1-0	62.8	1756	1760	30.39%	25.93%	43.68%	-0.30	+7.1	36
1999-04-01	Aarhus GF	W 4-1	51.7	1833	1667	63.40%	21.04%	15.56%	+1.31	+6.7	38
1999-04-01	@ Brondby	L 1-4	51.7	1667	1833	15.56%	21.04%	63.40%	-1.31	-6.7	23
1999-04-01	Lyngby	W 2-0	52.0	1713	1652	51.24%	24.78%	23.97%	+0.66	+8.4	33
1999-04-01	@ FC Copenhagen	L 0-2	52.0	1652	1713	23.97%	24.78%	51.24%	-0.66	-8.3	29
1999-04-01	Silkeborg	W 4-1	59.1	1699	1737	37.86%	26.24%	35.90%	+0.04	+14.2	30
1999-04-01	@ Vejle BK	L 1-4	59.1	1737	1699	35.90%	26.24%	37.86%	-0.04	-14.2	26
1999-04-01	B.93 Kobenhavn	W 5-1	44.9	1619	1477	60.83%	22.02%	17.15%	+1.17	+9.5	20
1999-04-01	@ Viborg	L 1-5	44.9	1477	1619	17.15%	22.02%	60.83%	-1.17	-9.5	9
1999-04-05	Aarhus Fremad	W 3-2	61.5	1763	1594	63.79%	20.88%	15.33%	+1.34	+2.5	39
1999-04-05	@ Aalborg	L 2-3	61.5	1594	1763	15.33%	20.88%	63.79%	-1.34	-2.5	14
1999-04-05	Vejle BK	W 2-1	65.2	1660	1714	35.58%	26.23%	38.18%	-0.06	+6.1	26
1999-04-05	@ Aarhus GF	L 1-2	65.2	1714	1660	38.18%	26.23%	35.58%	+0.06	-6.1	30
1999-04-05	AB Copenhagen	L 0-1	49.1	1467	1753	13.64%	19.61%	66.75%	-1.52	-2.5	9
1999-04-05	@ B.93 Kobenhavn	W 1-0	49.1	1753	1467	66.75%	19.61%	13.64%	+1.52	+2.5	43
1999-04-05	Brondby	L 1-2	60.9	1681	1839	23.11%	24.54%	52.34%	-0.72	-4.0	29
1999-04-05	@ Herfolge	W 2-1	60.9	1839	1681	52.34%	24.54%	23.11%	+0.72	+4.0	41
1999-04-05	Viborg	W 3-1	57.9	1643	1628	45.20%	25.77%	29.03%	+0.37	+8.5	32
1999-04-05	@ Lyngby	L 1-3	57.9	1628	1643	29.03%	25.77%	45.20%	-0.37	-8.5	20
1999-04-05	FC Copenhagen	D 2-2	76.3	1722	1721	43.29%	25.97%	30.75%	+0.28	-0.3	27
1999-04-05	@ Silkeborg	D 2-2	76.3	1721	1722	30.75%	25.97%	43.29%	-0.28	+0.3	34
1999-04-09	Aarhus GF	D 1-1	71.1	1721	1666	50.46%	24.94%	24.60%	+0.62	-0.9	35
1999-04-09	@ FC Copenhagen	D 1-1	71.1	1666	1721	24.60%	24.94%	50.46%	-0.62	+0.9	27
1999-04-11	B.93 Kobenhavn	W 2-0	42.9	1592	1465	59.15%	22.61%	18.24%	+1.07	+6.4	17
1999-04-11	@ Aarhus Fremad	L 0-2	42.9	1465	1592	18.24%	22.61%	59.15%	-1.07	-6.4	9
1999-04-11	Viborg	D 1-1	71.8	1756	1620	60.18%	22.26%	17.57%	+1.13	-1.5	44
1999-04-11	@ AB Copenhagen	D 1-1	71.8	1620	1756	17.57%	22.26%	60.18%	-1.13	+1.5	21
1999-04-11	Lyngby	D 1-1	71.2	1722	1652	52.39%	24.53%	23.08%	+0.72	-1.0	28
1999-04-11	@ Silkeborg	D 1-1	71.2	1652	1722	23.08%	24.53%	52.39%	-0.72	+1.0	33
1999-04-11	Herfolge	D 1-1	70.9	1707	1677	47.24%	25.50%	27.26%	+0.47	-0.7	31
1999-04-11	@ Vejle BK	D 1-1	70.9	1677	1707	27.26%	25.50%	47.24%	-0.47	+0.7	30
1999-04-12	Aalborg	L 1-2	70.1	1843	1766	53.27%	24.32%	22.41%	+0.76	-7.9	41
1999-04-12	@ Brondby	W 2-1	70.1	1766	1843	22.41%	24.32%	53.27%	-0.76	+7.9	42
1999-04-14	Viborg	D 0-0	66.2	1667	1621	49.32%	25.16%	25.52%	+0.57	-0.9	28
1999-04-14	@ Aarhus GF	D 0-0	66.2	1621	1667	25.52%	25.16%	49.32%	-0.57	+0.9	22
1999-04-18	Brondby	L 1-3	54.5	1598	1835	16.64%	21.72%	61.63%	-1.21	-5.1	17
1999-04-18	@ Aarhus Fremad	W 3-1	54.5	1835	1598	61.63%	21.72%	16.64%	+1.21	+5.1	44
1999-04-18	Vejle BK	W 2-0	53.2	1754	1707	49.47%	25.13%	25.40%	+0.57	+8.8	47
1999-04-18	@ AB Copenhagen	L 0-2	53.2	1707	1754	25.40%	25.13%	49.47%	-0.57	-8.8	31
1999-04-18	Silkeborg	L 0-1	48.9	1458	1721	14.99%	20.64%	64.36%	-1.37	-2.8	9
1999-04-18	@ B.93 Kobenhavn	W 1-0	48.9	1721	1458	64.36%	20.64%	14.99%	+1.37	+2.8	31
1999-04-18	Lyngby	L 0-2	58.7	1678	1653	46.52%	25.60%	27.88%	+0.43	-14.2	30
1999-04-18	@ Herfolge	W 2-0	58.7	1653	1678	27.88%	25.60%	46.52%	-0.43	+14.1	36
1999-04-18	FC Copenhagen	W 1-0	62.0	1622	1721	29.62%	25.84%	44.54%	-0.34	+7.2	25
1999-04-18	@ Viborg	L 0-1	62.0	1721	1622	44.54%	25.84%	29.62%	+0.34	-7.2	35
1999-04-19	Aarhus GF	W 2-1	59.2	1774	1666	56.89%	23.34%	19.77%	+0.95	+3.5	45
1999-04-19	@ Aalborg	L 1-2	59.2	1666	1774	19.77%	23.34%	56.89%	-0.95	-3.5	28
1999-04-23	Aalborg	D 0-0	67.5	1724	1777	35.54%	26.23%	38.23%	-0.06	+0.1	32
1999-04-23	@ Silkeborg	D 0-0	67.5	1777	1724	38.23%	26.23%	35.54%	+0.06	-0.1	46
1999-04-25	Herfolge	W 2-1	62.5	1663	1664	43.01%	25.99%	31.00%	+0.27	+5.2	31
1999-04-25	@ Aarhus GF	L 1-2	62.5	1664	1663	31.00%	25.99%	43.01%	-0.27	-5.2	30
1999-04-25	AB Copenhagen	W 3-0	50.0	1840	1763	53.29%	24.32%	22.39%	+0.76	+11.4	47
1999-04-25	@ Brondby	L 0-3	50.0	1763	1840	22.39%	24.32%	53.29%	-0.76	-11.4	47
1999-04-25	B.93 Kobenhavn	W 1-0	46.2	1713	1455	72.48%	16.86%	10.66%	+1.89	+1.9	38
1999-04-25	@ FC Copenhagen	L 0-1	46.2	1455	1713	10.66%	16.86%	72.48%	-1.89	-1.9	9
1999-04-25	Viborg	W 4-1	53.9	1698	1629	52.19%	24.58%	23.23%	+0.71	+9.9	34
1999-04-25	@ Vejle BK	L 1-4	53.9	1629	1698	23.23%	24.58%	52.19%	-0.71	-9.9	25
1999-04-26	Aarhus Fremad	D 1-1	69.8	1667	1593	52.85%	24.42%	22.72%	+0.74	-1.1	37
1999-04-26	@ Lyngby	D 1-1	69.8	1593	1667	22.72%	24.42%	52.85%	-0.74	+1.1	18
1999-04-30	FC Copenhagen	W 4-3	69.2	1777	1715	51.35%	24.76%	23.89%	+0.67	+3.8	49
1999-04-30	@ Aalborg	L 3-4	69.2	1715	1777	23.89%	24.76%	51.35%	-0.67	-3.9	38
1999-04-30	AB Copenhagen	L 1-3	56.7	1594	1752	23.17%	24.56%	52.27%	-0.71	-7.0	18
1999-04-30	@ Aarhus Fremad	W 3-1	56.7	1752	1594	52.27%	24.56%	23.17%	+0.71	+7.0	50
1999-05-02	Lyngby	D 1-1	70.4	1668	1666	43.42%	25.95%	30.63%	+0.29	-0.4	32
1999-05-02	@ Aarhus GF	D 1-1	70.4	1666	1668	30.63%	25.95%	43.42%	-0.29	+0.4	38
1999-05-02	Vejle BK	L 0-2	45.0	1453	1708	15.52%	21.01%	63.47%	-1.32	-5.4	9
1999-05-02	@ B.93 Kobenhavn	W 2-0	45.0	1708	1453	63.47%	21.01%	15.52%	+1.32	+5.4	37
1999-05-02	Silkeborg	D 1-1	70.7	1658	1724	33.89%	26.18%	39.93%	-0.13	+0.2	31
1999-05-02	@ Herfolge	D 1-1	70.7	1724	1658	39.93%	26.18%	33.89%	+0.13	-0.2	33
1999-05-02	Brondby	W 2-0	63.0	1619	1852	16.98%	21.93%	61.09%	-1.18	+17.7	28
1999-05-02	@ Viborg	L 0-2	63.0	1852	1619	61.09%	21.93%	16.98%	+1.18	-17.7	47
1999-05-05	Viborg	W 3-2	68.0	1587	1637	36.02%	26.24%	37.73%	-0.04	+5.7	21
1999-05-05	@ Aarhus Fremad	L 2-3	68.0	1637	1587	37.73%	26.24%	36.02%	+0.04	-5.7	28
1999-05-05	Lyngby	L 1-3	66.6	1759	1666	55.08%	23.86%	21.06%	+0.85	-14.1	50
1999-05-05	@ AB Copenhagen	W 3-1	66.6	1666	1759	21.06%	23.86%	55.08%	-0.85	+14.1	41
1999-05-05	B.93 Kobenhavn	W 4-1	44.2	1834	1448	82.55%	11.31%	6.13%	+2.70	+2.2	50
1999-05-05	@ Brondby	L 1-4	44.2	1448	1834	6.13%	11.31%	82.55%	-2.70	-2.2	9
1999-05-05	Herfolge	L 0-1	63.7	1711	1659	50.16%	25.00%	24.84%	+0.61	-8.0	38
1999-05-05	@ FC Copenhagen	W 1-0	63.7	1659	1711	24.84%	25.00%	50.16%	-0.61	+8.0	34
1999-05-05	Aarhus GF	W 2-0	52.4	1724	1668	50.59%	24.92%	24.49%	+0.63	+8.5	36
1999-05-05	@ Silkeborg	L 0-2	52.4	1668	1724	24.49%	24.92%	50.59%	-0.63	-8.5	32
1999-05-05	Aalborg	L 0-1	59.7	1713	1781	33.58%	26.17%	40.25%	-0.15	-5.8	37
1999-05-05	@ Vejle BK	W 1-0	59.7	1781	1713	40.25%	26.17%	33.58%	+0.15	+5.8	52
1999-05-09	FC Copenhagen	W 2-1	64.7	1659	1703	36.86%	26.25%	36.90%	+0.00	+5.9	35
1999-05-09	@ Aarhus GF	L 1-2	64.7	1703	1659	36.90%	26.25%	36.86%	+0.00	-5.9	38
1999-05-09	Aarhus Fremad	L 1-3	49.9	1446	1593	24.23%	24.85%	50.92%	-0.64	-7.3	9
1999-05-09	@ B.93 Kobenhavn	W 3-1	49.9	1593	1446	50.92%	24.85%	24.23%	+0.64	+7.3	24
1999-05-09	Vejle BK	W 2-0	56.3	1667	1708	37.34%	26.24%	36.42%	+0.02	+11.7	37
1999-05-09	@ Herfolge	L 0-2	56.3	1708	1667	36.42%	26.24%	37.34%	-0.02	-11.7	37
1999-05-09	Silkeborg	D 2-2	76.0	1680	1732	35.77%	26.24%	37.99%	-0.05	+0.1	42
1999-05-09	@ Lyngby	D 2-2	76.0	1732	1680	37.99%	26.24%	35.77%	+0.05	-0.0	37
1999-05-09	AB Copenhagen	W 1-0	62.8	1631	1744	27.88%	25.60%	46.52%	-0.43	+7.5	31
1999-05-09	@ Viborg	L 0-1	62.8	1744	1631	46.52%	25.60%	27.88%	+0.43	-7.5	50
1999-05-10	Brondby	D 0-0	67.7	1787	1836	36.10%	26.24%	37.66%	-0.03	+0.1	53
1999-05-10	@ Aalborg	D 0-0	67.7	1836	1787	37.66%	26.24%	36.10%	+0.03	-0.0	51
1999-05-14	Aarhus GF	D 2-2	75.9	1696	1665	47.29%	25.49%	27.22%	+0.47	-0.5	38
1999-05-14	@ Vejle BK	D 2-2	75.9	1665	1696	27.22%	25.49%	47.29%	-0.47	+0.5	36
1999-05-16	Aalborg	L 1-3	55.9	1600	1787	20.49%	23.64%	55.87%	-0.90	-6.2	24
1999-05-16	@ Aarhus Fremad	W 3-1	55.9	1787	1600	55.87%	23.64%	20.49%	+0.90	+6.2	56
1999-05-16	B.93 Kobenhavn	L 1-3	66.8	1737	1438	75.99%	15.01%	9.00%	+2.15	-18.0	50
1999-05-16	@ AB Copenhagen	W 3-1	66.8	1438	1737	9.00%	15.01%	75.99%	-2.15	+18.0	12
1999-05-16	Silkeborg	D 2-2	76.1	1697	1732	38.22%	26.23%	35.54%	+0.06	-0.1	39
1999-05-16	@ FC Copenhagen	D 2-2	76.1	1732	1697	35.54%	26.23%	38.22%	-0.06	+0.1	38
1999-05-16	Lyngby	W 5-2	61.5	1639	1680	37.23%	26.25%	36.52%	+0.02	+12.5	34
1999-05-16	@ Viborg	L 2-5	61.5	1680	1639	36.52%	26.25%	37.23%	-0.02	-12.5	42
1999-05-17	Herfolge	W 1-0	53.1	1836	1678	62.59%	21.36%	16.05%	+1.27	+3.0	54
1999-05-17	@ Brondby	L 0-1	53.1	1678	1836	16.05%	21.36%	62.59%	-1.27	-3.0	37
1999-05-20	AB Copenhagen	W 2-0	52.3	1793	1719	52.88%	24.42%	22.70%	+0.74	+8.0	59
1999-05-20	@ Aalborg	L 0-2	52.3	1719	1793	22.70%	24.42%	52.88%	-0.74	-8.0	50
1999-05-20	Brondby	D 3-3	81.3	1666	1839	21.65%	24.07%	54.28%	-0.81	+0.7	37
1999-05-20	@ Aarhus GF	D 3-3	81.3	1839	1666	54.28%	24.07%	21.65%	+0.81	-0.7	55
1999-05-20	Aarhus Fremad	D 2-2	75.2	1675	1594	53.79%	24.19%	22.01%	+0.79	-0.8	38
1999-05-20	@ Herfolge	D 2-2	75.2	1594	1675	22.01%	24.19%	53.79%	-0.79	+0.8	25
1999-05-20	FC Copenhagen	W 3-1	60.8	1668	1697	38.98%	26.22%	34.80%	+0.09	+9.8	45
1999-05-20	@ Lyngby	L 1-3	60.8	1697	1668	34.80%	26.22%	38.98%	-0.09	-9.8	39
1999-05-20	Vejle BK	W 4-3	69.9	1732	1695	48.11%	25.37%	26.53%	+0.51	+4.2	41
1999-05-20	@ Silkeborg	L 3-4	69.9	1695	1732	26.53%	25.37%	48.11%	-0.51	-4.2	38
1999-05-21	Viborg	L 0-5	42.9	1456	1651	19.85%	23.37%	56.79%	-0.94	-16.4	12
1999-05-21	@ B.93 Kobenhavn	W 5-0	42.9	1651	1456	56.79%	23.37%	19.85%	+0.94	+16.4	37
1999-05-24	Aarhus GF	W 2-1	64.6	1595	1666	33.04%	26.14%	40.82%	-0.17	+6.4	28
1999-05-24	@ Aarhus Fremad	L 1-2	64.6	1666	1595	40.82%	26.14%	33.04%	+0.17	-6.4	37
1999-05-24	Herfolge	W 2-1	61.5	1711	1674	48.05%	25.38%	26.57%	+0.51	+4.6	53
1999-05-24	@ AB Copenhagen	L 1-2	61.5	1674	1711	26.57%	25.38%	48.05%	-0.51	-4.6	38
1999-05-24	Lyngby	L 1-3	49.4	1440	1678	16.63%	21.72%	61.65%	-1.21	-5.1	12
1999-05-24	@ B.93 Kobenhavn	W 3-1	49.4	1678	1440	61.65%	21.72%	16.63%	+1.21	+5.1	48
1999-05-24	Silkeborg	W 3-0	49.1	1839	1736	56.27%	23.52%	20.21%	+0.92	+10.3	58
1999-05-24	@ Brondby	L 0-3	49.1	1736	1839	20.21%	23.52%	56.27%	-0.92	-10.3	41
1999-05-24	FC Copenhagen	W 1-0	58.1	1691	1688	43.60%	25.94%	30.46%	+0.30	+5.4	41
1999-05-24	@ Vejle BK	L 0-1	58.1	1688	1691	30.46%	25.94%	43.60%	-0.30	-5.4	39
1999-05-24	Aalborg	D 0-0	67.7	1668	1801	25.61%	25.18%	49.21%	-0.56	+0.9	38
1999-05-24	@ Viborg	D 0-0	67.7	1801	1668	49.21%	25.18%	25.61%	+0.56	-0.9	60
1999-05-28	Brondby	W 1-0	65.2	1682	1849	22.29%	24.29%	53.42%	-0.77	+8.4	42
1999-05-28	@ FC Copenhagen	L 0-1	65.2	1849	1682	53.42%	24.29%	22.29%	+0.77	-8.4	58
1999-05-30	B.93 Kobenhavn	W 2-0	41.4	1800	1435	81.12%	12.15%	6.74%	+2.57	+2.0	63
1999-05-30	@ Aalborg	L 0-2	41.4	1435	1800	6.74%	12.15%	81.12%	-2.57	-2.0	12
1999-05-30	Viborg	W 4-1	56.7	1670	1669	43.31%	25.96%	30.72%	+0.29	+12.6	41
1999-05-30	@ Herfolge	L 1-4	56.7	1669	1670	30.72%	25.96%	43.31%	-0.29	-12.6	38
1999-05-30	Vejle BK	W 2-0	55.2	1683	1696	41.21%	26.12%	32.67%	+0.19	+10.8	51
1999-05-30	@ Lyngby	L 0-2	55.2	1696	1683	32.67%	26.12%	41.21%	-0.19	-10.8	41
1999-05-30	Aarhus Fremad	W 4-1	51.9	1726	1601	58.95%	22.68%	18.37%	+1.06	+7.9	44
1999-05-30	@ Silkeborg	L 1-4	51.9	1601	1726	18.37%	22.68%	58.95%	-1.06	-7.9	28
1999-05-31	AB Copenhagen	W 3-1	62.1	1660	1716	35.23%	26.23%	38.54%	-0.07	+10.6	40
1999-05-31	@ Aarhus GF	L 1-3	62.1	1716	1660	38.54%	26.23%	35.23%	+0.07	-10.6	53
1999-06-13	Lyngby	D 3-3	81.5	1802	1694	57.03%	23.29%	19.67%	+0.96	-0.8	64
1999-06-13	@ Aalborg	D 3-3	81.5	1694	1802	19.67%	23.29%	57.03%	-0.96	+0.8	52
1999-06-13	FC Copenhagen	D 3-3	79.1	1593	1691	29.74%	25.86%	44.41%	-0.34	+0.3	29
1999-06-13	@ Aarhus Fremad	D 3-3	79.1	1691	1593	44.41%	25.86%	29.74%	+0.34	-0.3	43
1999-06-13	Silkeborg	W 4-2	65.5	1705	1734	39.04%	26.22%	34.75%	+0.09	+8.8	56
1999-06-13	@ AB Copenhagen	L 2-4	65.5	1734	1705	34.75%	26.22%	39.04%	-0.09	-8.8	44
1999-06-13	Herfolge	L 1-2	52.2	1433	1683	15.84%	21.22%	62.94%	-1.29	-2.8	12
1999-06-13	@ B.93 Kobenhavn	W 2-1	52.2	1683	1433	62.94%	21.22%	15.84%	+1.29	+2.8	44
1999-06-13	Vejle BK	L 1-2	71.8	1841	1686	62.25%	21.49%	16.26%	+1.25	-9.0	58
1999-06-13	@ Brondby	W 2-1	71.8	1686	1841	16.26%	21.49%	62.25%	-1.25	+9.0	44
1999-06-13	Aarhus GF	W 3-1	59.8	1656	1670	41.09%	26.13%	32.79%	+0.19	+9.4	41
1999-06-13	@ Viborg	L 1-3	59.8	1670	1656	32.79%	26.13%	41.09%	-0.19	-9.4	40
1999-06-16	B.93 Kobenhavn	W 2-1	49.3	1661	1430	69.97%	18.11%	11.92%	+1.72	+2.0	43
1999-06-16	@ Aarhus GF	L 1-2	49.3	1430	1661	11.92%	18.11%	69.97%	-1.72	-2.0	12
1999-06-16	AB Copenhagen	W 1-0	59.4	1690	1714	39.82%	26.19%	34.00%	+0.13	+5.9	46
1999-06-16	@ FC Copenhagen	L 0-1	59.4	1714	1690	34.00%	26.19%	39.82%	-0.13	-5.9	56
1999-06-16	Aalborg	W 3-2	73.2	1685	1801	27.54%	25.55%	46.92%	-0.45	+6.8	47
1999-06-16	@ Herfolge	L 2-3	73.2	1801	1685	46.92%	25.55%	27.54%	+0.45	-6.8	64
1999-06-16	Brondby	L 2-6	56.7	1694	1832	25.23%	25.09%	49.68%	-0.58	-11.7	52
1999-06-16	@ Lyngby	W 6-2	56.7	1832	1694	49.68%	25.09%	25.23%	+0.58	+11.7	61
1999-06-16	Viborg	L 1-2	68.8	1725	1665	51.09%	24.82%	24.10%	+0.65	-7.6	44
1999-06-16	@ Silkeborg	W 2-1	68.8	1665	1725	24.10%	24.82%	51.09%	-0.65	+7.6	44
1999-06-16	Aarhus Fremad	W 4-1	52.2	1695	1593	56.17%	23.55%	20.28%	+0.91	+8.8	47
1999-06-16	@ Vejle BK	L 1-4	52.2	1593	1695	20.28%	23.55%	56.17%	-0.91	-8.8	29

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	1999-05-16	9.00%	B.93 Kobenhavn	1438	3	@ AB Copenhagen	1737	1
2	1998-10-25	11.46%	@ B.93 Kobenhavn	1466	1	Brondby	1795	0
3	1998-09-11	15.93%	Viborg	1636	5	@ Brondby	1796	2
4	1999-06-13	16.26%	Vejle BK	1686	2	@ Brondby	1841	1
5	1998-08-16	16.62%	Lyngby	1650	3	@ Brondby	1799	2
6	1999-05-02	16.98%	@ Viborg	1619	2	Brondby	1852	0
7	1998-11-29	18.89%	@ B.93 Kobenhavn	1472	4	Aarhus GF	1678	2
8	1999-05-05	21.06%	Lyngby	1666	3	@ AB Copenhagen	1759	1
9	1999-05-28	22.29%	@ FC Copenhagen	1682	1	Brondby	1849	0
10	1999-04-12	22.41%	Aalborg	1766	2	@ Brondby	1843	1
11	1998-08-09	24.07%	Herfolge	1664	3	@ FC Copenhagen	1724	0
12	1999-06-16	24.10%	Viborg	1665	2	@ Silkeborg	1725	1
13	1999-03-14	24.21%	Lyngby	1641	2	@ Vejle BK	1699	1
14	1999-05-05	24.84%	Herfolge	1659	1	@ FC Copenhagen	1711	0
15	1998-11-08	25.31%	Silkeborg	1722	4	@ Aalborg	1771	2
16	1998-10-04	25.77%	AB Copenhagen	1747	1	@ Brondby	1791	0
17	1998-08-07	26.79%	@ Viborg	1626	2	Silkeborg	1749	1
18	1998-09-20	26.82%	Herfolge	1693	1	@ Silkeborg	1727	0
19	1998-08-16	27.18%	Vejle BK	1695	1	@ AB Copenhagen	1726	0
20	1998-09-26	27.19%	Lyngby	1667	2	@ Vejle BK	1698	1
21	1998-10-04	27.38%	Viborg	1645	3	@ Lyngby	1674	2
22	1999-03-19	27.46%	Vejle BK	1692	1	@ FC Copenhagen	1720	0
23	1999-06-16	27.54%	@ Herfolge	1685	3	Aalborg	1801	2
24	1998-09-20	27.77%	Aarhus GF	1670	2	@ FC Copenhagen	1696	0
25	1998-11-04	27.84%	@ Lyngby	1652	3	AB Copenhagen	1765	2

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	1998-11-08	23.42	Brondby	4	1787	34.72%	@ AB Copenhagen	0	1758	39.06%	26.21%
2	1998-08-09	22.18	Herfolge	3	1664	24.07%	@ FC Copenhagen	0	1724	51.12%	24.81%
3	1998-07-26	19.90	Herfolge	3	1638	29.49%	@ Viborg	0	1650	44.68%	25.83%
4	1998-09-11	19.17	Viborg	5	1636	15.93%	@ Brondby	2	1796	62.79%	21.28%
5	1998-07-26	18.92	@ Aalborg	4	1710	44.61%	Aarhus GF	0	1699	29.55%	25.84%
6	1999-05-16	17.98	B.93 Kobenhavn	3	1438	9.00%	@ AB Copenhagen	1	1737	75.99%	15.01%
7	1999-05-02	17.67	@ Viborg	2	1619	16.98%	Brondby	0	1852	61.09%	21.93%
8	1998-08-09	17.27	AB Copenhagen	3	1709	36.61%	@ Lyngby	0	1667	37.14%	26.25%
9	1998-10-18	17.14	@ Vejle BK	4	1691	48.44%	Viborg	0	1652	26.24%	25.31%
10	1999-05-21	16.36	Viborg	5	1651	56.79%	@ B.93 Kobenhavn	0	1456	19.85%	23.37%
11	1998-11-29	16.04	@ Brondby	6	1809	61.95%	Lyngby	0	1657	16.44%	21.60%
12	1998-08-30	15.87	@ Viborg	5	1620	57.67%	B.93 Kobenhavn	0	1506	19.24%	23.10%
13	1998-10-18	15.57	@ FC Copenhagen	5	1682	45.11%	Lyngby	1	1667	29.11%	25.78%
14	1998-08-07	15.27	@ Vejle BK	3	1680	42.36%	Aarhus GF	0	1685	31.60%	26.04%
15	1998-07-26	14.25	AB Copenhagen	4	1695	37.67%	@ Aarhus Fremad	1	1645	36.09%	26.24%
16	1999-04-01	14.20	@ Vejle BK	4	1699	37.86%	Silkeborg	1	1737	35.90%	26.24%
17	1998-09-20	14.18	Aarhus GF	2	1670	27.77%	@ FC Copenhagen	0	1696	46.64%	25.59%
18	1999-04-18	14.15	Lyngby	2	1653	27.88%	@ Herfolge	0	1678	46.52%	25.60%
19	1999-05-05	14.06	Lyngby	3	1666	21.06%	@ AB Copenhagen	1	1759	55.08%	23.86%
20	1998-11-29	13.16	@ B.93 Kobenhavn	4	1472	18.89%	Aarhus GF	2	1678	58.17%	22.94%
21	1998-08-21	12.66	@ Brondby	3	1791	49.71%	Silkeborg	0	1741	25.20%	25.09%
22	1999-05-30	12.59	@ Herfolge	4	1670	43.31%	Viborg	1	1669	30.72%	25.96%
23	1998-11-15	12.52	AB Copenhagen	2	1735	34.02%	@ Vejle BK	0	1711	39.79%	26.19%
24	1999-05-16	12.46	@ Viborg	5	1639	37.23%	Lyngby	2	1680	36.52%	26.25%
25	1998-09-13	11.98	@ AB Copenhagen	4	1725	45.39%	FC Copenhagen	1	1708	28.86%	25.75%

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	1999-06-13	81.5	@ Aalborg	3	1802	57.03%	Lyngby	3	1694	19.67%	23.29%
2	1999-05-20	81.3	@ Aarhus GF	3	1666	21.65%	Brondby	3	1839	54.28%	24.07%
3	1998-10-04	81.0	@ Aalborg	3	1765	54.04%	FC Copenhagen	3	1681	21.83%	24.13%
4	1998-08-16	80.7	@ Silkeborg	3	1742	48.51%	FC Copenhagen	3	1702	26.19%	25.30%
5	1998-11-29	80.0	@ Viborg	3	1610	26.21%	Silkeborg	3	1738	48.49%	25.30%
6	1998-11-29	79.3	@ Aarhus Fremad	3	1603	29.97%	Vejle BK	3	1699	44.15%	25.88%
7	1999-06-13	79.1	@ Aarhus Fremad	3	1593	29.74%	FC Copenhagen	3	1691	44.41%	25.86%
8	1998-11-01	76.4	@ FC Copenhagen	2	1704	33.65%	Aalborg	2	1771	40.17%	26.17%
9	1998-08-16	76.3	Lyngby	3	1650	16.62%	@ Brondby	2	1799	61.67%	21.71%
10	1999-04-05	76.3	@ Silkeborg	2	1722	43.29%	FC Copenhagen	2	1721	30.75%	25.97%
11	1998-08-30	76.2	@ Lyngby	2	1658	29.77%	Aalborg	2	1755	44.37%	25.86%
12	1998-11-15	76.2	@ Silkeborg	2	1734	73.04%	B.93 Kobenhavn	2	1470	10.39%	16.57%
13	1999-05-16	76.1	@ FC Copenhagen	2	1697	38.22%	Silkeborg	2	1732	35.54%	26.23%
14	1998-10-04	76.0	@ Herfolge	2	1696	43.84%	Vejle BK	2	1691	30.25%	25.92%
15	1999-05-09	76.0	@ Lyngby	2	1680	35.77%	Silkeborg	2	1732	37.99%	26.24%
16	1999-05-14	75.9	@ Vejle BK	2	1696	47.29%	Aarhus GF	2	1665	27.22%	25.49%
17	1998-10-04	75.6	@ Aarhus Fremad	2	1617	28.65%	Silkeborg	2	1724	45.63%	25.72%
18	1998-09-27	75.5	@ FC Copenhagen	2	1682	51.80%	Aarhus Fremad	2	1616	23.54%	24.66%
19	1999-05-20	75.2	@ Herfolge	2	1675	53.79%	Aarhus Fremad	2	1594	22.01%	24.19%
20	1999-06-16	73.2	@ Herfolge	3	1685	27.54%	Aalborg	2	1801	46.92%	25.55%
21	1998-11-15	73.0	@ Brondby	1	1811	66.52%	Aarhus Fremad	1	1615	13.76%	19.71%
22	1998-11-04	72.7	@ Lyngby	3	1652	27.84%	AB Copenhagen	2	1765	46.56%	25.60%
23	1998-10-04	72.0	Viborg	3	1645	27.38%	@ Lyngby	2	1674	47.10%	25.52%
24	1999-03-21	71.9	@ Aalborg	1	1758	60.77%	Viborg	1	1617	17.18%	22.04%
25	1999-04-11	71.8	@ AB Copenhagen	1	1756	60.18%	Viborg	1	1620	17.57%	22.26%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	1999-05-30	41.4	@ Aalborg	2	1800	81.12%	B.93 Kobenhavn	0	1435	6.74%	12.15%
2	1998-10-18	42.7	@ AB Copenhagen	7	1755	74.27%	B.93 Kobenhavn	0	1477	9.80%	15.93%
3	1999-04-11	42.9	@ Aarhus Fremad	2	1592	59.15%	B.93 Kobenhavn	0	1465	18.24%	22.61%
4	1999-05-21	42.9	Viborg	5	1651	56.79%	@ B.93 Kobenhavn	0	1456	19.85%	23.37%
5	1998-08-30	43.3	@ Viborg	5	1620	57.67%	B.93 Kobenhavn	0	1506	19.24%	23.10%
6	1998-11-01	43.7	@ Vejle BK	2	1702	69.38%	B.93 Kobenhavn	0	1477	12.22%	18.39%
7	1998-09-26	43.9	@ Silkeborg	2	1720	70.42%	B.93 Kobenhavn	0	1484	11.69%	17.89%
8	1999-03-14	43.9	Aalborg	3	1751	64.71%	@ B.93 Kobenhavn	0	1485	14.79%	20.50%
9	1999-05-05	44.2	@ Brondby	4	1834	82.55%	B.93 Kobenhavn	1	1448	6.13%	11.31%
10	1999-04-01	44.9	@ Viborg	5	1619	60.83%	B.93 Kobenhavn	1	1477	17.15%	22.02%
11	1999-05-02	45.0	Vejle BK	2	1708	63.47%	@ B.93 Kobenhavn	0	1453	15.52%	21.01%
12	1999-04-25	46.2	@ FC Copenhagen	1	1713	72.48%	B.93 Kobenhavn	0	1455	10.66%	16.86%
13	1998-08-09	46.7	@ Aarhus Fremad	2	1626	56.51%	B.93 Kobenhavn	0	1522	20.04%	23.45%
14	1999-03-21	47.6	@ Lyngby	1	1648	63.73%	B.93 Kobenhavn	0	1479	15.37%	20.90%
15	1998-11-22	47.9	@ FC Copenhagen	3	1713	55.88%	Aarhus Fremad	0	1614	20.49%	23.63%
16	1998-11-29	47.9	@ Brondby	6	1809	61.95%	Lyngby	0	1657	16.44%	21.60%
17	1998-08-03	48.7	@ Brondby	2	1801	63.80%	Aarhus Fremad	0	1631	15.32%	20.87%
18	1999-04-18	48.9	Silkeborg	1	1721	64.36%	@ B.93 Kobenhavn	0	1458	14.99%	20.64%
19	1998-07-26	49.1	Brondby	5	1792	63.69%	@ B.93 Kobenhavn	1	1536	15.39%	20.92%
20	1999-04-05	49.1	AB Copenhagen	1	1753	66.75%	@ B.93 Kobenhavn	0	1467	13.64%	19.61%
21	1999-05-24	49.1	@ Brondby	3	1839	56.27%	Silkeborg	0	1736	20.21%	23.52%
22	1998-08-16	49.2	Aalborg	5	1736	59.84%	@ B.93 Kobenhavn	1	1514	17.78%	22.37%
23	1999-06-16	49.3	@ Aarhus GF	2	1661	69.97%	B.93 Kobenhavn	1	1430	11.92%	18.11%
24	1999-05-24	49.4	Lyngby	3	1678	61.65%	@ B.93 Kobenhavn	1	1440	16.63%	21.72%
25	1998-10-18	49.6	@ Vejle BK	4	1691	48.44%	Viborg	0	1652	26.24%	25.31%