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

9.29 points above expected

52 points · 42.71 expected points

Biggest Disappointment

B.93 Kobenhavn

9.85 points below expected

12 points · 21.85 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	55.73	+8.27
2	Brondby	33	19	4	10	61	73	37	+36	62.29	-1.29
3	AB Copenhagen	33	17	5	11	56	49	36	+13	52.57	+3.43
4	Lyngby	33	14	10	9	52	55	60	-5	42.71	+9.29
5	Vejle BK	33	14	5	14	47	54	48	+6	47.52	-0.52
6	Herfolge	33	12	11	10	47	44	36	+8	44.22	+2.78
7	FC Copenhagen	33	12	10	11	46	55	52	+3	48.69	-2.69
8	Viborg	33	13	5	15	44	61	59	+2	38.37	+5.63
9	Silkeborg	33	10	14	9	44	52	53	-1	52.00	-8.00
10	Aarhus GF	33	11	10	12	43	45	55	-10	44.04	-1.04
11	Aarhus Fremad Relegated	33	7	8	18	29	51	73	-22	35.93	-6.93
12	B.93 Kobenhavn Relegated	33	3	3	27	12	22	80	-58	21.85	-9.85

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

Form

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

League Race

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

Season Summary

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

Team	Elo	Points	Avg	Luck	Percentile	Min	5th	Q1	Median	Q3	95th	Max
Brondby	1837	61	62.29	-1.29	45.5%	34	51	57	62	67	74	88
Aalborg	1788	64	55.73	+8.27	88.4%	25	44	51	56	61	68	82
Silkeborg	1711	44	52.00	-8.00	15.1%	27	40	47	52	57	64	83
AB Copenhagen	1702	56	52.57	+3.43	70.1%	27	40	48	53	58	64	76
Vejle BK	1697	47	47.52	-0.52	50.1%	18	36	43	47	52	59	78
FC Copenhagen	1690	46	48.69	-2.69	38.7%	23	37	44	49	54	61	76
Herfolge	1686	47	44.22	+2.78	68.1%	22	33	39	44	49	56	72
Lyngby	1676	52	42.71	+9.29	90.9%	19	31	38	43	48	55	70
Viborg	1666	44	38.37	+5.63	80.3%	12	27	34	38	43	50	67
Aarhus GF	1657	43	44.04	-1.04	47.1%	22	32	39	44	49	56	72
Aarhus Fremad	1578	29	35.93	-6.93	18.1%	10	25	31	36	41	48	70
B.93 Kobenhavn	1424	12	21.85	-9.85	5.3%	5	12	18	22	26	32	50

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 5.21	1-1-1 4.99	2-0-1 7.00	1-0-2 3.38	1-1-1 4.57	3-0-0 4.90	1-0-2 4.91	2-1-0 3.84	2-0-1 4.70	1-1-1 5.21
Aalborg	2-1-0 4.26	—	3-0-0 6.05	2-0-1 5.11	3-0-0 6.70	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 4.96	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 5.68	0-1-2 2.00	0-2-1 2.96	0-1-2 3.14	0-1-2 3.77	0-1-2 2.92	0-1-2 2.98	3-0-0 4.00
Aarhus GF	1-1-1 3.25	1-0-2 3.14	1-1-1 5.08	—	2-0-1 6.17	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 1.49	0-0-3 1.75	0-0-3 2.61	1-0-2 2.18	—	1-0-2 1.51	0-1-2 2.06	0-1-2 2.06	0-0-3 2.05	0-1-2 1.68	0-0-3 2.04	0-0-3 2.40
Brondby	2-0-1 4.87	0-1-2 4.74	2-1-0 6.38	2-1-0 5.57	2-0-1 6.99	—	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 6.31	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 6.31	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 4.23
Lyngby	2-0-1 3.34	0-3-0 3.09	2-1-0 4.46	0-2-1 3.76	3-0-0 6.31	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 4.37	1-2-0 3.72	2-1-0 5.34	3-0-0 4.53	2-1-0 6.76	0-0-3 3.04	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 6.34	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 3.05	0-2-1 2.86	0-0-3 4.22	1-1-1 3.56	3-0-0 5.91	2-0-1 2.11	1-0-2 2.89	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

Home-Field Advantage Edge

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

Top Overachievers & Disappointments

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

Biggest Overachievers

#	Team	Actual	Sim	vsSim
1	Lyngby	52	42.71	+9.29
2	Aalborg	64	55.73	+8.27
3	Viborg	44	38.37	+5.63
4	AB Copenhagen	56	52.57	+3.43
5	Herfolge	47	44.22	+2.78

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	B.93 Kobenhavn	12	21.85	-9.85
2	Silkeborg	44	52.00	-8.00
3	Aarhus Fremad	29	35.93	-6.93
4	FC Copenhagen	46	48.69	-2.69
5	Brondby	61	62.29	-1.29

Top Streaks

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

Most Unlikely Winning Streaks

#	Team	Games	Dates	Probability
1	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 356
2	B.93 Kobenhavn	9	Mar 21 – May 9	1 in 54
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 42
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

Finish Position Heatmap

Each cell is the probability — across 100,000 simulations — that the team (row) finished at that position (column). Rows are sorted by actual finish (champion at top, bottom of the table at the bottom).

Team	1	2	3	4	5	6	7	8	9	10	11	12
Aalborg	18.16%	24.92%	18.58%	13.63%	9.36%	6.14%	3.86%	2.84%	1.50%	0.76%	0.23%	0.02%
Brondby	56.92%	21.00%	10.46%	5.57%	3.21%	1.49%	0.74%	0.37%	0.19%	0.04%	0.01%	—
AB Copenhagen	8.76%	16.33%	18.16%	15.83%	12.75%	9.80%	7.41%	4.94%	3.30%	2.03%	0.62%	0.07%
Lyngby	0.62%	1.92%	3.94%	5.77%	8.13%	9.96%	12.63%	14.63%	17.16%	14.39%	9.81%	1.04%
Vejle BK	2.51%	6.45%	10.12%	11.55%	13.58%	14.33%	12.64%	10.82%	8.66%	6.20%	3.00%	0.14%
Herfolge	1.00%	3.27%	4.99%	7.85%	10.20%	12.38%	14.23%	14.58%	13.73%	10.68%	6.57%	0.52%
FC Copenhagen	3.41%	8.13%	10.85%	13.29%	14.32%	13.52%	12.29%	10.03%	6.93%	4.94%	2.15%	0.14%
Viborg	0.12%	0.48%	1.23%	2.61%	4.23%	6.08%	8.75%	11.84%	16.33%	22.43%	22.88%	3.02%
Silkeborg	7.54%	14.38%	16.25%	15.66%	13.12%	11.15%	8.58%	6.06%	3.91%	2.27%	1.07%	0.01%
Aarhus GF	0.90%	2.83%	4.94%	7.12%	9.18%	11.82%	13.11%	15.20%	13.92%	11.91%	8.32%	0.75%
Aarhus Fremad	0.06%	0.29%	0.48%	1.11%	1.89%	3.32%	5.65%	8.44%	13.76%	22.30%	36.85%	5.85%
B.93 Kobenhavn	—	—	—	0.01%	0.03%	0.01%	0.11%	0.25%	0.61%	2.05%	8.49%	88.44%

Points Required Per Position

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

Points Totals in Context

How did each team's actual results compare to their simulated points, Elo rating, average opponent Elo, and percentile within simulated outcomes? Use the buttons to switch between views. In each chart, dashed crosshairs at the league means split the plot into four quadrants: pastel green (team did well, model agreed), pastel red (team did poorly, model agreed), and pastel yellow (model and reality disagreed).

Season Trends

How each metric evolved across the season - Elo rating, actual and projected points, title/promotion probability, and relegation probability - day by day.

Edges & Scoring

How these are measured

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

Home Edge: Share of matches won by the home team minus the share won by the away team.
No Edge: under 5% * Slight Edge: 5% to 15% * Clear Edge: 15% to 25% * Strong Edge: 25% and up.
Elo Value: Number of Elo rating points one goal is worth. A team this many Elo points better than another is expected to win by one goal on a neutral field.
Scoring Tilt: Average home goals minus average away goals per match. The gold line is the home goals edge implied by the scoring value of an Elo point and the home-field Elo bonus.
Road-Tilted: under -0.2 * Neutral: -0.2 to 0.5 * Home-Tilted: 0.5 to 1.2 * Strong Home: 1.2 and up.

Home Edge

HomeDrawAway

+12.63%

Slight Edge

43.94%24.75%31.31%

Elo Value

Home Edge

159 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 2 * Top-Heavy: 2 to 4 * Open: 4 to 6 * Wide Open: 6 and up.
Champion Preseason Odds: Preseason probability that the eventual champion would finish 1st, from the simulation. The dot marks their rank across all teams, from longshot to favorite.
Preseason Favorite: 1st * Among the Favorites: 2nd * Middle of the Pack: 3rd to 6th * Longshot: 7th or lower.
Title Margin: Points-per-game gap between the champion and the runner-up. Shown per game so it reads the same across long and short seasons. The gold line is the winning margin the model expected, so a dot to the right means a more one-sided race than projected. A title won on goal difference shows 0.00.
Photo Finish: under 0.15 * Tight Race: 0.15 to 0.4 * Comfortable: 0.4 to 0.75 * Runaway: 0.75 and up.

Title-Race Openness

2.7

Top-Heavy

124610

Champion Preseason Odds

18%

Aalborg, 2nd of 12

LongshotFavorite

Title Margin

Expected

0.09/gm

Photo Finish

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 5.7 * Some Luck: 5.7 to 8.55 * Lucky: 8.55 to 11.41 * Wild Swing: 11.41 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 1.34 * Close: 1.34 to 2.01 * Off: 2.01 to 2.68 * Way Off: 2.68 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 0.6 * A Surprise: 0.6 to 0.97 * Several Surprises: 0.97 to 1.33 * Many Surprises: 1.33 and up.

Luck Spread

Expected

5.95 points

Some Luck

07.1318

Average Finish Error

Expected

1.67

01.684

Biggest Overachiever

Expected 95.83%

90.87%

Lyngby

50100

Biggest Underachiever

Expected 4.17%

5.34%

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 0.18 * Top-Heavy: 0.18 to 0.26 * Lopsided: 0.26 and up.
Noll-Scully: How much more spread out the table was than a league where every match is a coin flip. The gold line at 1 is that coin-flip baseline. Above it, real talent gaps stretched the table; below it, the league was tighter than luck alone would produce.
Coin-Flip Parity: under 1 * Moderate Separation: 1 to 1.6 * Strong Separation: 1.6 to 2.2 * Wide Separation: 2.2 and up.
Interquartile Edge: Chance the team at the 75th percentile of Elo would beat the team at the 25th percentile on a neutral field. Higher means a bigger gap between the upper and lower half of the table.
Even: under 60% * Slight Edge: 60% to 70% * Clear Edge: 70% to 80% * Wide Edge: 80% and up.
Best vs. Worst: Chance the top-rated team would beat the bottom-rated team on a neutral field. The gold line is how large that gap tends to be in a league of this size; a dot to the right flags an unusually dominant or unusually weak team.
Even: under 70% * Clear Edge: 70% to 82% * Strong Edge: 82% to 92% * Dominant: 92% and up.
Close Games: Share of matches decided by 1 goal or fewer, draws included. The gold line is how many close games the matchups and the scoring value of an Elo point predict.
Few: under 30% * Some Drama: 30% to 40% * Frequent: 40% to 50% * Very Frequent: 50% and up.
Blowouts: Share of matches decided by 3 goals or more. The gold line is how many routs the matchups and the scoring model predict.
Rare: under 8% * Occasional: 8% to 14% * Frequent: 14% to 22% * Very Frequent: 22% and up.

Gini Index

0.15

Even

00.120.180.260.5

Noll-Scully

Coin-flip

1.62

Strong Separation

01.003

Interquartile Edge

56%

Even

50%60%70%80%100%

Best vs. Worst

Baseline

92%

Strong Edge

50%88%100%

Close Games

Expected

61%

Very Frequent

0%57%100%

Blowouts

Expected

17%

Frequent

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 0.1 * Slight Separation: 0.1 to 0.18 * Notable Separation: 0.18 to 0.28 * Lopsided: 0.28 and up.
Strangeness: How wild the final table was versus what the model expected. A value of 1 means teams landed about one standard deviation from their projections on average. Above 1 is a stranger season; below 1 hugged the projections.
Very Predictable: under 0.8 * As Expected: 0.8 to 1.1 * Wilder Than Modeled: 1.1 to 1.4 * Chaotic: 1.4 and up.
Repeatability: How closely the final table order matched the preseason Elo order, by Spearman rank correlation. Higher means last season's ratings strongly predicted this season's finish. Shows N/A for an inaugural season.
Weak Carryover: under 0.3 * Some Carryover: 0.3 to 0.6 * Strong Carryover: 0.6 to 0.85 * Near-Lock: 0.85 and up.
Upset Rate: Share of matches the underdog won. The gold line is how often the model expected underdogs to win; a dot to the right means upsets ran hotter than expected.
Chalky: under 25% * As Expected: 25% to 33% * Upset-Prone: 33% to 42% * Very Upset-Prone: 42% and up.
Clear Favorite Upset Rate: Share of matches the underdog won, counting only games with a clear favorite (at least 60% likely to win once a draw is set aside). The gold line is how often the model expected these favorites to slip.
Solid Favorites: under 15% * As Expected: 15% to 25% * Shaky Favorites: 25% to 35% * Very Shaky: 35% and up.

Brier Score

Expected

0.60

Predictable

00.612

Matchup Imbalance

0.33

Lopsided

00.10.180.280.5

Strangeness

Expected

0.74

Very Predictable

01.002

Repeatability

0.49

Some Carryover

00.30.60.851

Upset Rate

Expected

25%

Chalky

0%25%50%

Clear Favorite Upset Rate

Expected

24%

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

0.94

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

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	99.99%	0.01%
Aalborg	99.75%	0.25%
AB Copenhagen	99.31%	0.69%
Silkeborg	98.92%	1.08%
FC Copenhagen	97.71%	2.29%
Vejle BK	96.86%	3.14%
Herfolge	92.91%	7.09%
Aarhus GF	90.93%	9.07%
Lyngby	89.15%	10.85%
Viborg	74.10%	25.90%
Aarhus Fremad	57.30%	42.70%
B.93 Kobenhavn	3.07%	96.93%

Filter by Team:

Overall Game Log

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

Date	Opponent	Score	Pre Elo	Opp Elo	Win %	Tie %	Loss %	Elo Δ	Points
1998-07-26	Aarhus GF	W 4-0	1703	1692	44.62%	25.84%	29.55%	+18.9	3
1998-07-26	@ Aalborg	L 0-4	1692	1703	29.55%	25.84%	44.62%	-18.9	0
1998-07-26	AB Copenhagen	L 1-4	1639	1689	36.15%	26.24%	37.61%	-14.3	0
1998-07-26	@ Aarhus Fremad	W 4-1	1689	1639	37.61%	26.24%	36.15%	+14.3	3
1998-07-26	Brondby	L 1-5	1533	1785	15.66%	21.10%	63.23%	-8.7	0
1998-07-26	@ B.93 Kobenhavn	W 5-1	1785	1533	63.23%	21.10%	15.66%	+8.7	3
1998-07-26	Silkeborg	D 0-0	1665	1738	32.86%	26.13%	41.01%	+0.3	1
1998-07-26	@ Lyngby	D 0-0	1738	1665	41.01%	26.13%	32.86%	-0.3	1
1998-07-26	FC Copenhagen	L 1-3	1689	1703	41.18%	26.12%	32.69%	-11.1	0
1998-07-26	@ Vejle BK	W 3-1	1703	1689	32.69%	26.12%	41.18%	+11.1	3
1998-07-26	Herfolge	L 0-3	1643	1632	44.61%	25.84%	29.56%	-19.9	0
1998-07-26	@ Viborg	W 3-0	1632	1643	29.56%	25.84%	44.61%	+19.9	3
1998-08-02	Lyngby	W 1-0	1673	1665	44.19%	25.88%	29.93%	+5.3	3
1998-08-02	@ Aarhus GF	L 0-1	1665	1673	29.93%	25.88%	44.19%	-5.3	1
1998-08-02	Aalborg	D 1-1	1703	1722	40.43%	26.16%	33.41%	-0.2	4
1998-08-02	@ AB Copenhagen	D 1-1	1722	1703	33.41%	26.16%	40.43%	+0.2	4
1998-08-02	Viborg	W 3-2	1714	1623	54.94%	23.89%	21.16%	+3.5	6
1998-08-02	@ FC Copenhagen	L 2-3	1623	1714	21.16%	23.89%	54.94%	-3.5	0
1998-08-02	B.93 Kobenhavn	W 3-1	1652	1524	59.16%	22.61%	18.23%	+5.6	6
1998-08-02	@ Herfolge	L 1-3	1524	1652	18.23%	22.61%	59.16%	-5.6	0
1998-08-02	Vejle BK	W 1-0	1738	1678	51.12%	24.81%	24.07%	+4.4	4
1998-08-02	@ Silkeborg	L 0-1	1678	1738	24.07%	24.81%	51.12%	-4.4	0
1998-08-03	Aarhus Fremad	W 2-0	1794	1625	63.76%	20.89%	15.35%	+5.4	6
1998-08-03	@ Brondby	L 0-2	1625	1794	15.35%	20.89%	63.76%	-5.4	0
1998-08-07	Brondby	W 1-0	1722	1799	32.32%	26.10%	41.58%	+6.9	7
1998-08-07	@ Aalborg	L 0-1	1799	1722	41.58%	26.10%	32.32%	-6.9	6
1998-08-07	Aarhus GF	W 3-0	1673	1679	42.37%	26.04%	31.59%	+15.3	3
1998-08-07	@ Vejle BK	L 0-3	1679	1673	31.59%	26.04%	42.37%	-15.3	3
1998-08-07	Silkeborg	W 2-1	1619	1742	26.74%	25.41%	47.85%	+7.2	3
1998-08-07	@ Viborg	L 1-2	1742	1619	47.85%	25.41%	26.74%	-7.2	4
1998-08-09	B.93 Kobenhavn	W 2-0	1620	1519	56.11%	23.57%	20.32%	+7.2	3
1998-08-09	@ Aarhus Fremad	L 0-2	1519	1620	20.32%	23.57%	56.11%	-7.2	0
1998-08-09	Herfolge	L 0-3	1717	1657	51.11%	24.81%	24.08%	-22.2	6
1998-08-09	@ FC Copenhagen	W 3-0	1657	1717	24.08%	24.81%	51.11%	+22.2	9
1998-08-09	AB Copenhagen	L 0-3	1660	1703	37.11%	26.25%	36.64%	-17.3	1
1998-08-09	@ Lyngby	W 3-0	1703	1660	36.64%	26.25%	37.11%	+17.2	7
1998-08-16	Viborg	W 3-2	1663	1626	48.10%	25.37%	26.53%	+4.3	6
1998-08-16	@ Aarhus GF	L 2-3	1626	1663	26.53%	25.37%	48.10%	-4.3	3
1998-08-16	Vejle BK	L 0-1	1720	1689	47.36%	25.48%	27.15%	-7.6	7
1998-08-16	@ AB Copenhagen	W 1-0	1689	1720	27.15%	25.48%	47.36%	+7.6	6
1998-08-16	Aalborg	L 1-5	1512	1729	18.08%	22.53%	59.40%	-10.1	0
1998-08-16	@ B.93 Kobenhavn	W 5-1	1729	1512	59.40%	22.53%	18.08%	+10.1	10
1998-08-16	Lyngby	L 2-3	1793	1643	61.68%	21.71%	16.61%	-8.4	6
1998-08-16	@ Brondby	W 3-2	1643	1793	16.61%	21.71%	61.68%	+8.5	4
1998-08-16	Aarhus Fremad	W 3-1	1679	1627	50.12%	25.01%	24.87%	+7.5	12
1998-08-16	@ Herfolge	L 1-3	1627	1679	24.87%	25.01%	50.12%	-7.5	3
1998-08-16	FC Copenhagen	D 3-3	1735	1695	48.51%	25.30%	26.19%	-0.5	5
1998-08-16	@ Silkeborg	D 3-3	1695	1735	26.19%	25.30%	48.51%	+0.5	7
1998-08-21	Vejle BK	W 5-2	1739	1696	48.91%	25.23%	25.86%	+9.5	13
1998-08-21	@ Aalborg	L 2-5	1696	1739	25.86%	25.23%	48.91%	-9.5	6
1998-08-21	Silkeborg	W 3-0	1784	1735	49.74%	25.08%	25.18%	+12.7	9
1998-08-21	@ Brondby	L 0-3	1735	1784	25.18%	25.08%	49.74%	-12.7	5
1998-08-23	Viborg	W 3-1	1619	1622	42.75%	26.01%	31.24%	+9.0	6
1998-08-23	@ Aarhus Fremad	L 1-3	1622	1619	31.24%	26.01%	42.75%	-9.0	3
1998-08-23	Aarhus GF	D 1-1	1712	1668	49.10%	25.20%	25.70%	-0.8	8
1998-08-23	@ AB Copenhagen	D 1-1	1668	1712	25.70%	25.20%	49.10%	+0.8	7
1998-08-23	FC Copenhagen	D 0-0	1502	1696	19.91%	23.40%	56.69%	+1.5	1
1998-08-23	@ B.93 Kobenhavn	D 0-0	1696	1502	56.69%	23.40%	19.91%	-1.5	8
1998-08-23	Herfolge	D 0-0	1651	1687	38.11%	26.24%	35.65%	-0.1	5
1998-08-23	@ Lyngby	D 0-0	1687	1651	35.65%	26.24%	38.11%	+0.1	13
1998-08-30	Brondby	W 1-0	1694	1797	29.12%	25.78%	45.09%	+7.3	11
1998-08-30	@ FC Copenhagen	L 0-1	1797	1694	45.09%	25.78%	29.12%	-7.3	9
1998-08-30	Aarhus GF	D 1-1	1687	1668	45.64%	25.72%	28.65%	-0.6	14
1998-08-30	@ Herfolge	D 1-1	1668	1687	28.65%	25.72%	45.64%	+0.6	8
1998-08-30	Aalborg	D 2-2	1651	1749	29.75%	25.86%	44.39%	+0.4	6
1998-08-30	@ Lyngby	D 2-2	1749	1651	44.39%	25.86%	29.75%	-0.4	14
1998-08-30	AB Copenhagen	L 1-2	1722	1711	44.57%	25.84%	29.59%	-6.8	5
1998-08-30	@ Silkeborg	W 2-1	1711	1722	29.59%	25.84%	44.57%	+6.8	11
1998-08-30	Aarhus Fremad	W 4-2	1687	1628	50.86%	24.86%	24.27%	+6.5	9
1998-08-30	@ Vejle BK	L 2-4	1628	1687	24.27%	24.86%	50.86%	-6.5	6
1998-08-30	B.93 Kobenhavn	W 5-0	1613	1503	57.18%	23.25%	19.57%	+16.1	6
1998-08-30	@ Viborg	L 0-5	1503	1613	19.57%	23.25%	57.18%	-16.1	1
1998-09-11	Silkeborg	L 2-3	1669	1715	36.59%	26.25%	37.17%	-5.6	8
1998-09-11	@ Aarhus GF	W 3-2	1715	1669	37.17%	26.25%	36.59%	+5.6	8
1998-09-11	Vejle BK	L 0-1	1487	1693	18.93%	22.95%	58.12%	-3.5	1
1998-09-11	@ B.93 Kobenhavn	W 1-0	1693	1487	58.12%	22.95%	18.93%	+3.5	12
1998-09-11	Viborg	L 2-5	1789	1629	62.83%	21.27%	15.91%	-19.2	9
1998-09-11	@ Brondby	W 5-2	1629	1789	15.91%	21.27%	62.83%	+19.2	9
1998-09-13	Lyngby	L 1-2	1622	1652	38.95%	26.22%	34.84%	-6.2	6
1998-09-13	@ Aarhus Fremad	W 2-1	1652	1622	34.84%	26.22%	38.95%	+6.2	9
1998-09-13	FC Copenhagen	W 4-1	1718	1701	45.41%	25.75%	28.84%	+12.0	14
1998-09-13	@ AB Copenhagen	L 1-4	1701	1718	28.84%	25.75%	45.41%	-12.0	11
1998-09-13	Aalborg	D 0-0	1686	1748	34.36%	26.20%	39.43%	+0.2	15
1998-09-13	@ Herfolge	D 0-0	1748	1686	39.43%	26.20%	34.36%	-0.2	15
1998-09-20	Aarhus Fremad	W 3-1	1748	1616	59.75%	22.41%	17.84%	+5.4	18
1998-09-20	@ Aalborg	L 1-3	1616	1748	17.84%	22.41%	59.75%	-5.4	6
1998-09-20	Aarhus GF	L 0-2	1690	1663	46.66%	25.58%	27.76%	-14.2	11
1998-09-20	@ FC Copenhagen	W 2-0	1663	1690	27.76%	25.58%	46.66%	+14.2	11
1998-09-20	B.93 Kobenhavn	W 2-1	1658	1483	64.31%	20.66%	15.02%	+2.6	12
1998-09-20	@ Lyngby	L 1-2	1483	1658	15.02%	20.66%	64.31%	-2.6	1
1998-09-20	Herfolge	L 0-1	1721	1687	47.75%	25.42%	26.83%	-7.7	8
1998-09-20	@ Silkeborg	W 1-0	1687	1721	26.83%	25.42%	47.75%	+7.7	18
1998-09-20	Brondby	L 1-2	1697	1770	32.80%	26.13%	41.07%	-5.4	12
1998-09-20	@ Vejle BK	W 2-1	1770	1697	41.07%	26.13%	32.80%	+5.4	12
1998-09-20	AB Copenhagen	L 0-1	1648	1730	31.72%	26.05%	42.23%	-5.6	9
1998-09-20	@ Viborg	W 1-0	1730	1648	42.23%	26.05%	31.72%	+5.6	17
1998-09-26	Brondby	L 1-3	1678	1776	29.68%	25.85%	44.47%	-8.7	11
1998-09-26	@ Aarhus GF	W 3-1	1776	1678	44.47%	25.85%	29.68%	+8.7	15
1998-09-26	B.93 Kobenhavn	W 2-0	1713	1481	70.10%	18.05%	11.85%	+4.0	11
1998-09-26	@ Silkeborg	L 0-2	1481	1713	11.85%	18.05%	70.10%	-4.0	1
1998-09-26	Lyngby	L 1-2	1691	1660	47.32%	25.49%	27.19%	-7.2	12
1998-09-26	@ Vejle BK	W 2-1	1660	1691	27.19%	25.49%	47.32%	+7.2	15
1998-09-27	Herfolge	W 1-0	1736	1694	48.72%	25.26%	26.01%	+4.8	20
1998-09-27	@ AB Copenhagen	L 0-1	1694	1736	26.01%	25.26%	48.72%	-4.8	18
1998-09-27	Aarhus Fremad	D 2-2	1675	1610	51.72%	24.68%	23.60%	-0.7	12
1998-09-27	@ FC Copenhagen	D 2-2	1610	1675	23.60%	24.68%	51.72%	+0.7	7
1998-09-27	Aalborg	L 1-2	1643	1754	28.16%	25.65%	46.19%	-4.8	9
1998-09-27	@ Viborg	W 2-1	1754	1643	46.19%	25.65%	28.16%	+4.8	21
1998-10-04	FC Copenhagen	D 3-3	1758	1675	54.05%	24.13%	21.82%	-0.7	22
1998-10-04	@ Aalborg	D 3-3	1675	1758	21.82%	24.13%	54.05%	+0.7	13
1998-10-04	Silkeborg	D 2-2	1611	1717	28.72%	25.73%	45.56%	+0.4	8
1998-10-04	@ Aarhus Fremad	D 2-2	1717	1611	45.56%	25.73%	28.72%	-0.4	12
1998-10-04	Aarhus GF	L 1-2	1477	1669	20.06%	23.46%	56.48%	-3.5	1
1998-10-04	@ B.93 Kobenhavn	W 2-1	1669	1477	56.48%	23.46%	20.06%	+3.5	14
1998-10-04	AB Copenhagen	L 0-1	1784	1741	49.01%	25.22%	25.78%	-7.8	15
1998-10-04	@ Brondby	W 1-0	1741	1784	25.78%	25.22%	49.01%	+7.8	23
1998-10-04	Vejle BK	D 2-2	1689	1684	43.84%	25.92%	30.25%	-0.3	19
1998-10-04	@ Herfolge	D 2-2	1684	1689	30.25%	25.92%	43.84%	+0.3	13
1998-10-04	Viborg	L 2-3	1668	1638	47.13%	25.52%	27.36%	-6.8	15
1998-10-04	@ Lyngby	W 3-2	1638	1668	27.36%	25.52%	47.13%	+6.8	12
1998-10-16	Herfolge	W 5-1	1777	1689	54.50%	24.01%	21.49%	+11.9	18
1998-10-16	@ Brondby	L 1-5	1689	1777	21.49%	24.01%	54.50%	-11.9	19
1998-10-18	Aarhus Fremad	W 3-2	1673	1612	51.22%	24.79%	23.99%	+4.0	17
1998-10-18	@ Aarhus GF	L 2-3	1612	1673	23.99%	24.79%	51.22%	-4.0	8
1998-10-18	B.93 Kobenhavn	W 7-0	1748	1473	74.00%	16.07%	9.93%	+10.4	26
1998-10-18	@ AB Copenhagen	L 0-7	1473	1748	9.93%	16.07%	74.00%	-10.4	1
1998-10-18	Lyngby	W 5-1	1675	1661	45.11%	25.78%	29.11%	+15.6	16
1998-10-18	@ FC Copenhagen	L 1-5	1661	1675	29.11%	25.78%	45.11%	-15.6	15
1998-10-18	Aalborg	D 0-0	1717	1758	37.33%	26.24%	36.43%	-0.0	13
1998-10-18	@ Silkeborg	D 0-0	1758	1717	36.43%	26.24%	37.33%	+0.0	23
1998-10-18	Viborg	W 4-0	1685	1645	48.47%	25.31%	26.22%	+17.1	16
1998-10-18	@ Vejle BK	L 0-4	1645	1685	26.22%	25.31%	48.47%	-17.1	12
1998-10-25	Vejle BK	W 4-2	1758	1702	50.58%	24.92%	24.50%	+6.6	26
1998-10-25	@ Aalborg	L 2-4	1702	1758	24.50%	24.92%	50.58%	-6.6	16
1998-10-25	Brondby	W 1-0	1463	1788	11.60%	17.81%	70.59%	+10.5	4
1998-10-25	@ B.93 Kobenhavn	L 0-1	1788	1463	70.59%	17.81%	11.60%	-10.5	18
1998-10-25	FC Copenhagen	L 2-3	1677	1691	41.20%	26.12%	32.68%	-6.1	19
1998-10-25	@ Herfolge	W 3-2	1691	1677	32.68%	26.12%	41.20%	+6.1	19
1998-10-25	Aarhus Fremad	L 2-4	1628	1608	45.87%	25.69%	28.44%	-10.8	12
1998-10-25	@ Viborg	W 4-2	1608	1628	28.44%	25.69%	45.87%	+10.8	11
1998-10-30	Viborg	W 2-1	1778	1617	62.93%	21.23%	15.85%	+2.8	21
1998-10-30	@ Brondby	L 1-2	1617	1778	15.85%	21.23%	62.93%	-2.8	12
1998-11-01	Aalborg	D 2-2	1697	1764	33.64%	26.17%	40.19%	+0.2	20
1998-11-01	@ FC Copenhagen	D 2-2	1764	1697	40.19%	26.17%	33.64%	-0.2	27
1998-11-01	Aarhus GF	D 1-1	1645	1676	38.71%	26.22%	35.07%	-0.1	16
1998-11-01	@ Lyngby	D 1-1	1676	1645	35.07%	26.22%	38.71%	+0.1	18
1998-11-01	Herfolge	D 1-1	1717	1671	49.24%	25.17%	25.59%	-0.8	14
1998-11-01	@ Silkeborg	D 1-1	1671	1717	25.59%	25.17%	49.24%	+0.8	20
1998-11-01	B.93 Kobenhavn	W 2-0	1695	1473	69.09%	18.53%	12.38%	+4.2	19
1998-11-01	@ Vejle BK	L 0-2	1473	1695	12.38%	18.53%	69.09%	-4.2	4
1998-11-04	AB Copenhagen	W 3-2	1645	1759	27.81%	25.59%	46.60%	+6.7	19
1998-11-04	@ Lyngby	L 2-3	1759	1645	46.60%	25.59%	27.81%	-6.7	26
1998-11-08	Silkeborg	L 2-4	1764	1716	49.59%	25.11%	25.30%	-11.5	27
1998-11-08	@ Aalborg	W 4-2	1716	1764	25.30%	25.11%	49.59%	+11.5	17
1998-11-08	Lyngby	L 2-4	1618	1652	38.41%	26.23%	35.36%	-9.4	11
1998-11-08	@ Aarhus Fremad	W 4-2	1652	1618	35.36%	26.23%	38.41%	+9.4	22
1998-11-08	Brondby	L 0-4	1752	1781	39.09%	26.21%	34.70%	-23.4	26
1998-11-08	@ AB Copenhagen	W 4-0	1781	1752	34.70%	26.21%	39.09%	+23.4	24
1998-11-08	FC Copenhagen	L 1-2	1469	1697	17.30%	22.11%	60.59%	-3.1	4
1998-11-08	@ B.93 Kobenhavn	W 2-1	1697	1469	60.59%	22.11%	17.30%	+3.0	23
1998-11-08	Aarhus GF	D 0-0	1672	1677	42.46%	26.04%	31.51%	-0.4	21
1998-11-08	@ Herfolge	D 0-0	1677	1672	31.51%	26.04%	42.46%	+0.4	19
1998-11-08	Vejle BK	L 0-1	1614	1699	31.28%	26.02%	42.70%	-5.5	12
1998-11-08	@ Viborg	W 1-0	1699	1614	42.70%	26.02%	31.28%	+5.5	22
1998-11-15	Aarhus Fremad	D 1-1	1804	1609	66.48%	19.73%	13.79%	-1.9	25
1998-11-15	@ Brondby	D 1-1	1609	1804	13.79%	19.73%	66.48%	+1.9	12
1998-11-15	Viborg	W 4-2	1700	1609	55.01%	23.88%	21.11%	+5.8	26
1998-11-15	@ FC Copenhagen	L 2-4	1609	1700	21.11%	23.88%	55.01%	-5.8	12
1998-11-15	Herfolge	L 1-3	1661	1671	41.69%	26.09%	32.22%	-11.2	22
1998-11-15	@ Lyngby	W 3-1	1671	1661	32.22%	26.09%	41.69%	+11.2	24
1998-11-15	B.93 Kobenhavn	D 2-2	1727	1466	72.78%	16.71%	10.51%	-1.7	18
1998-11-15	@ Silkeborg	D 2-2	1466	1727	10.51%	16.71%	72.78%	+1.7	5
1998-11-15	AB Copenhagen	L 0-2	1705	1729	39.76%	26.19%	34.05%	-12.5	22
1998-11-15	@ Vejle BK	W 2-0	1729	1705	34.05%	26.19%	39.76%	+12.5	29
1998-11-18	Aarhus Fremad	W 1-0	1741	1611	59.53%	22.48%	17.99%	+3.4	32
1998-11-18	@ AB Copenhagen	L 0-1	1611	1741	17.99%	22.48%	59.53%	-3.4	12
1998-11-22	Aarhus Fremad	W 3-0	1706	1608	55.82%	23.65%	20.53%	+10.5	29
1998-11-22	@ FC Copenhagen	L 0-3	1608	1706	20.53%	23.65%	55.82%	-10.5	12
1998-11-22	AB Copenhagen	D 1-1	1726	1745	40.47%	26.16%	33.37%	-0.2	19
1998-11-22	@ Silkeborg	D 1-1	1745	1726	33.37%	26.16%	40.47%	+0.2	33
1998-11-25	Silkeborg	L 2-3	1677	1725	36.26%	26.24%	37.50%	-5.5	19
1998-11-25	@ Aarhus GF	W 3-2	1725	1677	37.50%	26.24%	36.26%	+5.5	22
1998-11-29	Herfolge	D 1-1	1753	1683	52.33%	24.54%	23.12%	-1.0	28
1998-11-29	@ Aalborg	D 1-1	1683	1753	23.12%	24.54%	52.33%	+1.0	25
1998-11-29	Vejle BK	D 3-3	1597	1692	30.02%	25.89%	44.09%	+0.3	13
1998-11-29	@ Aarhus Fremad	D 3-3	1692	1597	44.09%	25.89%	30.02%	-0.3	23
1998-11-29	FC Copenhagen	D 0-0	1745	1716	46.97%	25.54%	27.49%	-0.7	34
1998-11-29	@ AB Copenhagen	D 0-0	1716	1745	27.49%	25.54%	46.97%	+0.7	30
1998-11-29	Aarhus GF	W 4-2	1468	1671	19.13%	23.05%	57.83%	+13.1	8
1998-11-29	@ B.93 Kobenhavn	L 2-4	1671	1468	57.83%	23.05%	19.13%	-13.1	19
1998-11-29	Lyngby	W 6-0	1802	1650	61.96%	21.60%	16.44%	+16.0	28
1998-11-29	@ Brondby	L 0-6	1650	1802	16.44%	21.60%	61.96%	-16.0	22
1998-11-29	Silkeborg	D 3-3	1603	1731	26.19%	25.30%	48.51%	+0.5	13
1998-11-29	@ Viborg	D 3-3	1731	1603	48.51%	25.30%	26.19%	-0.5	23
1999-03-07	Aalborg	W 1-0	1658	1752	30.28%	25.92%	43.80%	+7.1	22
1999-03-07	@ Aarhus GF	L 0-1	1752	1658	43.80%	25.92%	30.28%	-7.1	28
1999-03-07	Brondby	D 0-0	1692	1818	26.40%	25.34%	48.26%	+0.8	24
1999-03-07	@ Vejle BK	D 0-0	1818	1692	48.26%	25.34%	26.40%	-0.8	29
1999-03-14	Silkeborg	L 0-1	1597	1730	25.65%	25.19%	49.16%	-4.7	13
1999-03-14	@ Aarhus Fremad	W 1-0	1730	1597	49.16%	25.19%	25.65%	+4.7	26
1999-03-14	Aalborg	L 0-3	1481	1744	14.96%	20.62%	64.42%	-7.6	8
1999-03-14	@ B.93 Kobenhavn	W 3-0	1744	1481	64.42%	20.62%	14.96%	+7.6	31
1999-03-14	FC Copenhagen	W 3-2	1817	1717	56.05%	23.59%	20.37%	+3.4	32
1999-03-14	@ Brondby	L 2-3	1717	1817	20.37%	23.59%	56.05%	-3.4	30
1999-03-14	Lyngby	L 1-2	1693	1634	50.95%	24.85%	24.21%	-7.6	24
1999-03-14	@ Vejle BK	W 2-1	1634	1693	24.21%	24.85%	50.95%	+7.6	25
1999-03-14	Herfolge	W 1-0	1603	1684	31.89%	26.07%	42.04%	+6.9	16
1999-03-14	@ Viborg	L 0-1	1684	1603	42.04%	26.07%	31.89%	-6.9	25
1999-03-15	Aarhus GF	W 1-0	1744	1666	53.41%	24.29%	22.30%	+4.1	37
1999-03-15	@ AB Copenhagen	L 0-1	1666	1744	22.30%	24.29%	53.41%	-4.1	22
1999-03-17	B.93 Kobenhavn	D 0-0	1677	1473	67.30%	19.36%	13.33%	-2.2	26
1999-03-17	@ Herfolge	D 0-0	1473	1677	13.33%	19.36%	67.30%	+2.2	9
1999-03-19	Vejle BK	L 0-1	1714	1685	47.00%	25.54%	27.47%	-7.6	30
1999-03-19	@ FC Copenhagen	W 1-0	1685	1714	27.47%	25.54%	47.00%	+7.6	27
1999-03-21	Viborg	D 1-1	1752	1610	60.81%	22.03%	17.16%	-1.6	32
1999-03-21	@ Aalborg	D 1-1	1610	1752	17.16%	22.03%	60.81%	+1.6	17
1999-03-21	Aarhus Fremad	D 1-1	1661	1593	52.20%	24.57%	23.22%	-1.0	23
1999-03-21	@ Aarhus GF	D 1-1	1593	1661	23.22%	24.57%	52.20%	+1.0	14
1999-03-21	AB Copenhagen	L 0-1	1675	1748	32.79%	26.13%	41.08%	-5.7	26
1999-03-21	@ Herfolge	W 1-0	1748	1675	41.08%	26.13%	32.79%	+5.7	40
1999-03-21	B.93 Kobenhavn	W 1-0	1642	1476	63.44%	21.02%	15.54%	+2.9	28
1999-03-21	@ Lyngby	L 0-1	1476	1642	15.54%	21.02%	63.44%	-2.9	9
1999-03-22	Brondby	L 1-2	1735	1821	31.22%	26.01%	42.77%	-5.2	26
1999-03-22	@ Silkeborg	W 2-1	1821	1735	42.77%	26.01%	31.22%	+5.2	35
1999-03-29	Aalborg	D 1-1	1644	1750	28.73%	25.73%	45.54%	+0.6	29
1999-03-29	@ Lyngby	D 1-1	1750	1644	45.54%	25.73%	28.73%	-0.6	33
1999-04-01	Herfolge	L 0-1	1594	1669	32.58%	26.11%	41.31%	-5.7	14
1999-04-01	@ Aarhus Fremad	W 1-0	1669	1594	41.31%	26.11%	32.58%	+5.7	29
1999-04-01	Aalborg	L 0-1	1754	1750	43.69%	25.93%	30.38%	-7.1	40
1999-04-01	@ AB Copenhagen	W 1-0	1750	1754	30.38%	25.93%	43.69%	+7.1	36
1999-04-01	Aarhus GF	W 4-1	1826	1660	63.41%	21.03%	15.56%	+6.7	38
1999-04-01	@ Brondby	L 1-4	1660	1826	15.56%	21.03%	63.41%	-6.7	23
1999-04-01	Lyngby	W 2-0	1706	1645	51.24%	24.78%	23.98%	+8.3	33
1999-04-01	@ FC Copenhagen	L 0-2	1645	1706	23.98%	24.78%	51.24%	-8.3	29
1999-04-01	Silkeborg	W 4-1	1693	1730	37.87%	26.24%	35.89%	+14.2	30
1999-04-01	@ Vejle BK	L 1-4	1730	1693	35.89%	26.24%	37.87%	-14.2	26
1999-04-01	B.93 Kobenhavn	W 5-1	1612	1473	60.51%	22.14%	17.35%	+9.7	20
1999-04-01	@ Viborg	L 1-5	1473	1612	17.35%	22.14%	60.51%	-9.7	9
1999-04-05	Aarhus Fremad	W 3-2	1757	1588	63.76%	20.89%	15.35%	+2.5	39
1999-04-05	@ Aalborg	L 2-3	1588	1757	15.35%	20.89%	63.76%	-2.5	14
1999-04-05	Vejle BK	W 2-1	1654	1707	35.57%	26.23%	38.19%	+6.1	26
1999-04-05	@ Aarhus GF	L 1-2	1707	1654	38.19%	26.23%	35.57%	-6.1	30
1999-04-05	AB Copenhagen	L 0-1	1463	1747	13.77%	19.72%	66.51%	-2.5	9
1999-04-05	@ B.93 Kobenhavn	W 1-0	1747	1463	66.51%	19.72%	13.77%	+2.5	43
1999-04-05	Brondby	L 1-2	1675	1833	23.11%	24.54%	52.35%	-4.0	29
1999-04-05	@ Herfolge	W 2-1	1833	1675	52.35%	24.54%	23.11%	+4.0	41
1999-04-05	Viborg	W 3-1	1637	1621	45.21%	25.77%	29.02%	+8.5	32
1999-04-05	@ Lyngby	L 1-3	1621	1637	29.02%	25.77%	45.21%	-8.5	20
1999-04-05	FC Copenhagen	D 2-2	1716	1715	43.29%	25.97%	30.75%	-0.3	27
1999-04-05	@ Silkeborg	D 2-2	1715	1716	30.75%	25.97%	43.29%	+0.3	34
1999-04-09	Aarhus GF	D 1-1	1715	1660	50.46%	24.94%	24.59%	-0.9	35
1999-04-09	@ FC Copenhagen	D 1-1	1660	1715	24.59%	24.94%	50.46%	+0.9	27
1999-04-11	B.93 Kobenhavn	W 2-0	1585	1460	58.91%	22.69%	18.40%	+6.5	17
1999-04-11	@ Aarhus Fremad	L 0-2	1460	1585	18.40%	22.69%	58.91%	-6.5	9
1999-04-11	Viborg	D 1-1	1749	1613	60.21%	22.24%	17.54%	-1.5	44
1999-04-11	@ AB Copenhagen	D 1-1	1613	1749	17.54%	22.24%	60.21%	+1.5	21
1999-04-11	Lyngby	D 1-1	1715	1645	52.39%	24.53%	23.08%	-1.0	28
1999-04-11	@ Silkeborg	D 1-1	1645	1715	23.08%	24.53%	52.39%	+1.0	33
1999-04-11	Herfolge	D 1-1	1701	1671	47.24%	25.50%	27.26%	-0.7	31
1999-04-11	@ Vejle BK	D 1-1	1671	1701	27.26%	25.50%	47.24%	+0.7	30
1999-04-12	Aalborg	L 1-2	1837	1759	53.26%	24.33%	22.41%	-7.9	41
1999-04-12	@ Brondby	W 2-1	1759	1837	22.41%	24.33%	53.26%	+7.9	42
1999-04-14	Viborg	D 0-0	1661	1614	49.32%	25.16%	25.52%	-0.9	28
1999-04-14	@ Aarhus GF	D 0-0	1614	1661	25.52%	25.16%	49.32%	+0.9	22
1999-04-18	Brondby	L 1-3	1592	1829	16.67%	21.74%	61.59%	-5.1	17
1999-04-18	@ Aarhus Fremad	W 3-1	1829	1592	61.59%	21.74%	16.67%	+5.1	44
1999-04-18	Vejle BK	W 2-0	1748	1700	49.49%	25.13%	25.38%	+8.8	47
1999-04-18	@ AB Copenhagen	L 0-2	1700	1748	25.38%	25.13%	49.49%	-8.8	31
1999-04-18	Silkeborg	L 0-1	1454	1714	15.15%	20.75%	64.10%	-2.8	9
1999-04-18	@ B.93 Kobenhavn	W 1-0	1714	1454	64.10%	20.75%	15.15%	+2.8	31
1999-04-18	Lyngby	L 0-2	1671	1646	46.52%	25.60%	27.88%	-14.1	30
1999-04-18	@ Herfolge	W 2-0	1646	1671	27.88%	25.60%	46.52%	+14.1	36
1999-04-18	FC Copenhagen	W 1-0	1615	1714	29.61%	25.84%	44.54%	+7.2	25
1999-04-18	@ Viborg	L 0-1	1714	1615	44.54%	25.84%	29.61%	-7.2	35
1999-04-19	Aarhus GF	W 2-1	1767	1660	56.91%	23.33%	19.76%	+3.5	45
1999-04-19	@ Aalborg	L 1-2	1660	1767	19.76%	23.33%	56.91%	-3.5	28
1999-04-23	Aalborg	D 0-0	1717	1771	35.52%	26.23%	38.24%	+0.1	32
1999-04-23	@ Silkeborg	D 0-0	1771	1717	38.24%	26.23%	35.52%	-0.1	46
1999-04-25	Herfolge	W 2-1	1656	1657	43.01%	25.99%	31.00%	+5.2	31
1999-04-25	@ Aarhus GF	L 1-2	1657	1656	31.00%	25.99%	43.01%	-5.2	30
1999-04-25	AB Copenhagen	W 3-0	1834	1757	53.27%	24.32%	22.41%	+11.4	47
1999-04-25	@ Brondby	L 0-3	1757	1834	22.41%	24.32%	53.27%	-11.4	47
1999-04-25	B.93 Kobenhavn	W 1-0	1707	1451	72.26%	16.97%	10.77%	+1.9	38
1999-04-25	@ FC Copenhagen	L 0-1	1451	1707	10.77%	16.97%	72.26%	-1.9	9
1999-04-25	Viborg	W 4-1	1691	1623	52.20%	24.57%	23.22%	+9.9	34
1999-04-25	@ Vejle BK	L 1-4	1623	1691	23.22%	24.57%	52.20%	-9.9	25
1999-04-26	Aarhus Fremad	D 1-1	1660	1587	52.80%	24.44%	22.76%	-1.1	37
1999-04-26	@ Lyngby	D 1-1	1587	1660	22.76%	24.44%	52.80%	+1.0	18
1999-04-30	FC Copenhagen	W 4-3	1771	1709	51.36%	24.76%	23.88%	+3.8	49
1999-04-30	@ Aalborg	L 3-4	1709	1771	23.88%	24.76%	51.36%	-3.8	38
1999-04-30	AB Copenhagen	L 1-3	1588	1745	23.19%	24.57%	52.24%	-7.0	18
1999-04-30	@ Aarhus Fremad	W 3-1	1745	1588	52.24%	24.57%	23.19%	+7.0	50
1999-05-02	Lyngby	D 1-1	1661	1659	43.41%	25.96%	30.63%	-0.4	32
1999-05-02	@ Aarhus GF	D 1-1	1659	1661	30.63%	25.96%	43.41%	+0.4	38
1999-05-02	Vejle BK	L 0-2	1449	1701	15.67%	21.11%	63.22%	-5.5	9
1999-05-02	@ B.93 Kobenhavn	W 2-0	1701	1449	63.22%	21.11%	15.67%	+5.5	37
1999-05-02	Silkeborg	D 1-1	1652	1717	33.89%	26.18%	39.93%	+0.2	31
1999-05-02	@ Herfolge	D 1-1	1717	1652	39.93%	26.18%	33.89%	-0.2	33
1999-05-02	Brondby	W 2-0	1613	1845	16.97%	21.92%	61.11%	+17.7	28
1999-05-02	@ Viborg	L 0-2	1845	1613	61.11%	21.92%	16.97%	-17.7	47
1999-05-05	Viborg	W 3-2	1581	1630	36.10%	26.24%	37.66%	+5.7	21
1999-05-05	@ Aarhus Fremad	L 2-3	1630	1581	37.66%	26.24%	36.10%	-5.7	28
1999-05-05	Lyngby	L 1-3	1752	1660	55.10%	23.85%	21.05%	-14.1	50
1999-05-05	@ AB Copenhagen	W 3-1	1660	1752	21.05%	23.85%	55.10%	+14.1	41
1999-05-05	B.93 Kobenhavn	W 4-1	1828	1444	82.40%	11.40%	6.20%	+2.3	50
1999-05-05	@ Brondby	L 1-4	1444	1828	6.20%	11.40%	82.40%	-2.3	9
1999-05-05	Herfolge	L 0-1	1705	1652	50.16%	25.00%	24.84%	-8.0	38
1999-05-05	@ FC Copenhagen	W 1-0	1652	1705	24.84%	25.00%	50.16%	+8.0	34
1999-05-05	Aarhus GF	W 2-0	1717	1661	50.59%	24.92%	24.49%	+8.5	36
1999-05-05	@ Silkeborg	L 0-2	1661	1717	24.49%	24.92%	50.59%	-8.5	32
1999-05-05	Aalborg	L 0-1	1707	1775	33.58%	26.17%	40.25%	-5.8	37
1999-05-05	@ Vejle BK	W 1-0	1775	1707	40.25%	26.17%	33.58%	+5.9	52
1999-05-09	FC Copenhagen	W 2-1	1653	1697	36.85%	26.25%	36.90%	+5.9	35
1999-05-09	@ Aarhus GF	L 1-2	1697	1653	36.90%	26.25%	36.85%	-5.9	38
1999-05-09	Aarhus Fremad	L 1-3	1442	1587	24.42%	24.90%	50.68%	-7.3	9
1999-05-09	@ B.93 Kobenhavn	W 3-1	1587	1442	50.68%	24.90%	24.42%	+7.3	24
1999-05-09	Vejle BK	W 2-0	1660	1701	37.33%	26.24%	36.43%	+11.7	37
1999-05-09	@ Herfolge	L 0-2	1701	1660	36.43%	26.24%	37.33%	-11.7	37
1999-05-09	Silkeborg	D 2-2	1674	1726	35.77%	26.24%	37.99%	+0.1	42
1999-05-09	@ Lyngby	D 2-2	1726	1674	37.99%	26.24%	35.77%	-0.1	37
1999-05-09	AB Copenhagen	W 1-0	1625	1738	27.85%	25.60%	46.55%	+7.5	31
1999-05-09	@ Viborg	L 0-1	1738	1625	46.55%	25.60%	27.85%	-7.5	50
1999-05-10	Brondby	D 0-0	1780	1830	36.10%	26.24%	37.65%	+0.0	53
1999-05-10	@ Aalborg	D 0-0	1830	1780	37.65%	26.24%	36.10%	-0.1	51
1999-05-14	Aarhus GF	D 2-2	1689	1658	47.30%	25.49%	27.21%	-0.5	38
1999-05-14	@ Vejle BK	D 2-2	1658	1689	27.21%	25.49%	47.30%	+0.5	36
1999-05-16	Aalborg	L 1-3	1594	1781	20.53%	23.65%	55.83%	-6.3	24
1999-05-16	@ Aarhus Fremad	W 3-1	1781	1594	55.83%	23.65%	20.53%	+6.3	56
1999-05-16	B.93 Kobenhavn	L 1-3	1731	1434	75.82%	15.11%	9.08%	-18.0	50
1999-05-16	@ AB Copenhagen	W 3-1	1434	1731	9.08%	15.11%	75.82%	+18.0	12
1999-05-16	Silkeborg	D 2-2	1691	1726	38.22%	26.23%	35.54%	-0.1	39
1999-05-16	@ FC Copenhagen	D 2-2	1726	1691	35.54%	26.23%	38.22%	+0.1	38
1999-05-16	Lyngby	W 5-2	1632	1674	37.22%	26.25%	36.53%	+12.5	34
1999-05-16	@ Viborg	L 2-5	1674	1632	36.53%	26.25%	37.22%	-12.5	42
1999-05-17	Herfolge	W 1-0	1830	1672	62.60%	21.35%	16.05%	+3.0	54
1999-05-17	@ Brondby	L 0-1	1672	1830	16.05%	21.35%	62.60%	-3.0	37
1999-05-20	AB Copenhagen	W 2-0	1787	1713	52.86%	24.42%	22.71%	+8.0	59
1999-05-20	@ Aalborg	L 0-2	1713	1787	22.71%	24.42%	52.86%	-8.0	50
1999-05-20	Brondby	D 3-3	1659	1833	21.64%	24.07%	54.29%	+0.7	37
1999-05-20	@ Aarhus GF	D 3-3	1833	1659	54.29%	24.07%	21.64%	-0.7	55
1999-05-20	Aarhus Fremad	D 2-2	1669	1588	53.74%	24.21%	22.06%	-0.8	38
1999-05-20	@ Herfolge	D 2-2	1588	1669	22.06%	24.21%	53.74%	+0.8	25
1999-05-20	FC Copenhagen	W 3-1	1661	1691	38.98%	26.22%	34.80%	+9.8	45
1999-05-20	@ Lyngby	L 1-3	1691	1661	34.80%	26.22%	38.98%	-9.8	39
1999-05-20	Vejle BK	W 4-3	1726	1689	48.10%	25.37%	26.53%	+4.2	41
1999-05-20	@ Silkeborg	L 3-4	1689	1726	26.53%	25.37%	48.10%	-4.2	38
1999-05-21	Viborg	L 0-5	1452	1645	20.03%	23.45%	56.52%	-16.5	12
1999-05-21	@ B.93 Kobenhavn	W 5-0	1645	1452	56.52%	23.45%	20.03%	+16.5	37
1999-05-24	Aarhus GF	W 2-1	1588	1660	33.11%	26.15%	40.75%	+6.4	28
1999-05-24	@ Aarhus Fremad	L 1-2	1660	1588	40.75%	26.15%	33.11%	-6.4	37
1999-05-24	Herfolge	W 2-1	1705	1668	48.08%	25.37%	26.55%	+4.6	53
1999-05-24	@ AB Copenhagen	L 1-2	1668	1705	26.55%	25.37%	48.08%	-4.6	38
1999-05-24	Lyngby	L 1-3	1436	1671	16.77%	21.80%	61.43%	-5.1	12
1999-05-24	@ B.93 Kobenhavn	W 3-1	1671	1436	61.43%	21.80%	16.77%	+5.1	48
1999-05-24	Silkeborg	W 3-0	1832	1730	56.28%	23.52%	20.20%	+10.3	58
1999-05-24	@ Brondby	L 0-3	1730	1832	20.20%	23.52%	56.28%	-10.3	41
1999-05-24	FC Copenhagen	W 1-0	1685	1681	43.61%	25.94%	30.46%	+5.4	41
1999-05-24	@ Vejle BK	L 0-1	1681	1685	30.46%	25.94%	43.61%	-5.4	39
1999-05-24	Aalborg	D 0-0	1661	1795	25.61%	25.18%	49.21%	+0.9	38
1999-05-24	@ Viborg	D 0-0	1795	1661	49.21%	25.18%	25.61%	-0.9	60
1999-05-28	Brondby	W 1-0	1676	1843	22.28%	24.28%	53.43%	+8.4	42
1999-05-28	@ FC Copenhagen	L 0-1	1843	1676	53.43%	24.28%	22.28%	-8.4	58
1999-05-30	B.93 Kobenhavn	W 2-0	1794	1431	80.98%	12.23%	6.79%	+2.1	63
1999-05-30	@ Aalborg	L 0-2	1431	1794	6.79%	12.23%	80.98%	-2.1	12
1999-05-30	Viborg	W 4-1	1663	1662	43.30%	25.97%	30.74%	+12.6	41
1999-05-30	@ Herfolge	L 1-4	1662	1663	30.74%	25.97%	43.30%	-12.6	38
1999-05-30	Vejle BK	W 2-0	1676	1690	41.21%	26.12%	32.67%	+10.8	51
1999-05-30	@ Lyngby	L 0-2	1690	1676	32.67%	26.12%	41.21%	-10.8	41
1999-05-30	Aarhus Fremad	W 4-1	1720	1595	58.89%	22.70%	18.41%	+8.0	44
1999-05-30	@ Silkeborg	L 1-4	1595	1720	18.41%	22.70%	58.89%	-8.0	28
1999-05-31	AB Copenhagen	W 3-1	1653	1709	35.20%	26.23%	38.58%	+10.6	40
1999-05-31	@ Aarhus GF	L 1-3	1709	1653	38.58%	26.23%	35.20%	-10.6	53
1999-06-13	Lyngby	D 3-3	1796	1687	57.05%	23.29%	19.67%	-0.8	64
1999-06-13	@ Aalborg	D 3-3	1687	1796	19.67%	23.29%	57.05%	+0.8	52
1999-06-13	FC Copenhagen	D 3-3	1587	1684	29.79%	25.86%	44.34%	+0.3	29
1999-06-13	@ Aarhus Fremad	D 3-3	1684	1587	44.34%	25.86%	29.79%	-0.3	43
1999-06-13	Silkeborg	W 4-2	1699	1728	39.06%	26.21%	34.72%	+8.8	56
1999-06-13	@ AB Copenhagen	L 2-4	1728	1699	34.72%	26.21%	39.06%	-8.8	44
1999-06-13	Herfolge	L 1-2	1428	1676	15.97%	21.30%	62.73%	-2.8	12
1999-06-13	@ B.93 Kobenhavn	W 2-1	1676	1428	62.73%	21.30%	15.97%	+2.8	44
1999-06-13	Vejle BK	L 1-2	1834	1679	62.25%	21.49%	16.26%	-9.0	58
1999-06-13	@ Brondby	W 2-1	1679	1834	16.26%	21.49%	62.25%	+9.0	44
1999-06-13	Aarhus GF	W 3-1	1649	1664	41.10%	26.13%	32.77%	+9.4	41
1999-06-13	@ Viborg	L 1-3	1664	1649	32.77%	26.13%	41.10%	-9.4	40
1999-06-16	B.93 Kobenhavn	W 2-1	1655	1426	69.78%	18.20%	12.02%	+2.0	43
1999-06-16	@ Aarhus GF	L 1-2	1426	1655	12.02%	18.20%	69.78%	-2.0	12
1999-06-16	AB Copenhagen	W 1-0	1684	1707	39.79%	26.19%	34.02%	+5.9	46
1999-06-16	@ FC Copenhagen	L 0-1	1707	1684	34.02%	26.19%	39.79%	-5.9	56
1999-06-16	Aalborg	W 3-2	1679	1795	27.52%	25.55%	46.93%	+6.8	47
1999-06-16	@ Herfolge	L 2-3	1795	1679	46.93%	25.55%	27.52%	-6.8	64
1999-06-16	Brondby	L 2-6	1688	1825	25.23%	25.09%	49.68%	-11.7	52
1999-06-16	@ Lyngby	W 6-2	1825	1688	49.68%	25.09%	25.23%	+11.7	61
1999-06-16	Viborg	L 1-2	1719	1659	51.08%	24.82%	24.10%	-7.6	44
1999-06-16	@ Silkeborg	W 2-1	1659	1719	24.10%	24.82%	51.08%	+7.6	44
1999-06-16	Aarhus Fremad	W 4-1	1688	1587	56.13%	23.56%	20.31%	+8.8	47
1999-06-16	@ Vejle BK	L 1-4	1587	1688	20.31%	23.56%	56.13%	-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	9.08%	B.93 Kobenhavn	1434	3	@ AB Copenhagen	1731	1
2	1998-10-25	11.60%	@ B.93 Kobenhavn	1463	1	Brondby	1788	0
3	1998-09-11	15.91%	Viborg	1629	5	@ Brondby	1789	2
4	1999-06-13	16.26%	Vejle BK	1679	2	@ Brondby	1834	1
5	1998-08-16	16.61%	Lyngby	1643	3	@ Brondby	1793	2
6	1999-05-02	16.97%	@ Viborg	1613	2	Brondby	1845	0
7	1998-11-29	19.13%	@ B.93 Kobenhavn	1468	4	Aarhus GF	1671	2
8	1999-05-05	21.05%	Lyngby	1660	3	@ AB Copenhagen	1752	1
9	1999-05-28	22.28%	@ FC Copenhagen	1676	1	Brondby	1843	0
10	1999-04-12	22.41%	Aalborg	1759	2	@ Brondby	1837	1
11	1998-08-09	24.08%	Herfolge	1657	3	@ FC Copenhagen	1717	0
12	1999-06-16	24.10%	Viborg	1659	2	@ Silkeborg	1719	1
13	1999-03-14	24.21%	Lyngby	1634	2	@ Vejle BK	1693	1
14	1999-05-05	24.84%	Herfolge	1652	1	@ FC Copenhagen	1705	0
15	1998-11-08	25.30%	Silkeborg	1716	4	@ Aalborg	1764	2
16	1998-10-04	25.78%	AB Copenhagen	1741	1	@ Brondby	1784	0
17	1998-08-07	26.74%	@ Viborg	1619	2	Silkeborg	1742	1
18	1998-09-20	26.83%	Herfolge	1687	1	@ Silkeborg	1721	0
19	1998-08-16	27.15%	Vejle BK	1689	1	@ AB Copenhagen	1720	0
20	1998-09-26	27.19%	Lyngby	1660	2	@ Vejle BK	1691	1
21	1998-10-04	27.36%	Viborg	1638	3	@ Lyngby	1668	2
22	1999-03-19	27.47%	Vejle BK	1685	1	@ FC Copenhagen	1714	0
23	1999-06-16	27.52%	@ Herfolge	1679	3	Aalborg	1795	2
24	1998-09-20	27.76%	Aarhus GF	1663	2	@ FC Copenhagen	1690	0
25	1998-11-04	27.81%	@ Lyngby	1645	3	AB Copenhagen	1759	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	23.43	Brondby	4	1781	34.70%	@ AB Copenhagen	0	1752	39.09%	26.21%
2	1998-08-09	22.18	Herfolge	3	1657	24.08%	@ FC Copenhagen	0	1717	51.11%	24.81%
3	1998-07-26	19.87	Herfolge	3	1632	29.56%	@ Viborg	0	1643	44.61%	25.84%
4	1998-09-11	19.17	Viborg	5	1629	15.91%	@ Brondby	2	1789	62.83%	21.27%
5	1998-07-26	18.91	@ Aalborg	4	1703	44.62%	Aarhus GF	0	1692	29.55%	25.84%
6	1999-05-16	17.96	B.93 Kobenhavn	3	1434	9.08%	@ AB Copenhagen	1	1731	75.82%	15.11%
7	1999-05-02	17.68	@ Viborg	2	1613	16.97%	Brondby	0	1845	61.11%	21.92%
8	1998-08-09	17.26	AB Copenhagen	3	1703	36.64%	@ Lyngby	0	1660	37.11%	26.25%
9	1998-10-18	17.13	@ Vejle BK	4	1685	48.47%	Viborg	0	1645	26.22%	25.31%
10	1999-05-21	16.51	Viborg	5	1645	56.52%	@ B.93 Kobenhavn	0	1452	20.03%	23.45%
11	1998-08-30	16.14	@ Viborg	5	1613	57.18%	B.93 Kobenhavn	0	1503	19.57%	23.25%
12	1998-11-29	16.03	@ Brondby	6	1802	61.96%	Lyngby	0	1650	16.44%	21.60%
13	1998-10-18	15.57	@ FC Copenhagen	5	1675	45.11%	Lyngby	1	1661	29.11%	25.78%
14	1998-08-07	15.27	@ Vejle BK	3	1673	42.37%	Aarhus GF	0	1679	31.59%	26.04%
15	1998-07-26	14.27	AB Copenhagen	4	1689	37.61%	@ Aarhus Fremad	1	1639	36.15%	26.24%
16	1999-04-01	14.20	@ Vejle BK	4	1693	37.87%	Silkeborg	1	1730	35.89%	26.24%
17	1998-09-20	14.18	Aarhus GF	2	1663	27.76%	@ FC Copenhagen	0	1690	46.66%	25.58%
18	1999-04-18	14.14	Lyngby	2	1646	27.88%	@ Herfolge	0	1671	46.52%	25.60%
19	1999-05-05	14.07	Lyngby	3	1660	21.05%	@ AB Copenhagen	1	1752	55.10%	23.85%
20	1998-11-29	13.09	@ B.93 Kobenhavn	4	1468	19.13%	Aarhus GF	2	1671	57.83%	23.05%
21	1998-08-21	12.66	@ Brondby	3	1784	49.74%	Silkeborg	0	1735	25.18%	25.08%
22	1999-05-30	12.60	@ Herfolge	4	1663	43.30%	Viborg	1	1662	30.74%	25.97%
23	1998-11-15	12.51	AB Copenhagen	2	1729	34.05%	@ Vejle BK	0	1705	39.76%	26.19%
24	1999-05-16	12.46	@ Viborg	5	1632	37.22%	Lyngby	2	1674	36.53%	26.25%
25	1998-09-13	11.97	@ AB Copenhagen	4	1718	45.41%	FC Copenhagen	1	1701	28.84%	25.75%