1997-98 Superliga Season

198 games

Final

Champion

Brondby

76 points · 8th Title

Last Title: 1996-97

Relegated

Odense

25 pts

Ikast · 29 pts

Biggest Overachiever

Brondby

14.49 points above expected

76 points · 61.51 expected points

Biggest Disappointment

Odense

14.11 points below expected

25 points · 39.11 expected points

League Table

The final standings for the season. vsSim shows actual points minus the simulation's mean — positive means the team overachieved against the model, negative means they underperformed.

#	Team	GP	W	D	L	Pts	GF	GA	GD	SimPts	vsSim
1	Brondby Champion	33	24	4	5	76	81	33	+48	61.51	+14.49
2	Silkeborg	33	17	12	4	63	55	31	+24	53.84	+9.16
3	FC Copenhagen	33	18	7	8	61	66	48	+18	53.24	+7.76
4	Vejle BK	33	16	4	13	52	53	51	+2	50.22	+1.78
5	AB Copenhagen	33	13	8	12	47	61	52	+9	47.20	-0.20
6	Lyngby	33	13	6	14	45	53	62	-9	42.14	+2.86
7	Aalborg	33	12	8	13	44	54	48	+6	49.02	-5.02
8	Aarhus GF	33	11	10	12	43	53	52	+1	51.12	-8.12
9	Herfolge	33	9	7	17	34	44	69	-25	39.91	-5.91
10	Aarhus Fremad	33	9	6	18	33	51	73	-22	33.42	-0.42
11	Ikast Relegated	33	8	5	20	29	51	86	-35	30.74	-1.74
12	Odense Relegated	33	6	7	20	25	40	57	-17	39.11	-14.11

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

Form

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

League Race

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

Season Summary

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

Team	Elo	Points	Avg	Luck	Percentile	Min	5th	Q1	Median	Q3	95th	Max
Brondby	1869	76	61.51	+14.49	98.2%	34	49	57	62	67	73	86
Silkeborg	1778	63	53.84	+9.16	89.8%	24	41	49	54	59	66	82
FC Copenhagen	1717	61	53.24	+7.76	86.7%	27	41	48	53	58	66	85
Aalborg	1714	44	49.02	-5.02	27.5%	21	37	44	49	54	61	76
Aarhus GF	1696	43	51.12	-8.12	15.1%	25	39	46	51	56	63	79
Vejle BK	1691	52	50.22	+1.78	62.2%	18	38	45	50	55	63	80
AB Copenhagen	1689	47	47.20	-0.20	52.0%	20	35	42	47	52	60	76
Lyngby	1647	45	42.14	+2.86	68.0%	12	30	37	42	47	54	71
Odense	1615	25	39.11	-14.11	2.8%	16	27	34	39	44	51	70
Aarhus Fremad	1595	33	33.42	-0.42	51.1%	11	22	29	33	38	45	59
Herfolge	1584	34	39.91	-5.91	23.9%	13	28	35	40	45	52	72
Ikast	1527	29	30.74	-1.74	44.3%	7	20	26	30	35	43	59

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	BRO	FC	HER	IKA	LYN	ODE	SIL	VB
AB Copenhagen	—	2-0-1 4.19	2-0-1 5.14	0-2-1 3.87	1-1-1 3.26	1-1-1 3.79	2-1-0 4.61	1-1-1 5.26	1-2-0 4.84	1-0-2 5.06	0-0-3 3.47	2-0-1 3.59
Aalborg	1-0-2 4.14	—	2-1-0 5.67	1-0-2 3.97	1-0-2 3.23	1-0-2 3.55	1-0-2 5.06	1-2-0 5.94	1-0-2 4.61	1-2-0 4.68	0-2-1 3.96	2-1-0 4.40
Aarhus Fremad	1-0-2 3.21	0-1-2 2.71	—	1-1-1 2.99	0-0-3 1.92	0-1-2 2.32	1-1-1 3.91	2-0-1 4.28	1-0-2 3.67	2-1-0 3.18	0-0-3 2.67	1-1-1 2.61
Aarhus GF	1-2-0 4.46	2-0-1 4.37	1-1-1 5.36	—	0-1-2 3.14	0-1-2 4.40	2-1-0 4.87	2-0-1 5.66	0-1-2 5.10	2-1-0 5.37	1-1-1 3.68	0-1-2 4.69
Brondby	1-1-1 5.09	2-0-1 5.12	3-0-0 6.53	2-1-0 5.21	—	2-0-1 5.02	2-1-0 6.32	3-0-0 6.55	3-0-0 5.38	3-0-0 5.87	1-1-1 5.28	2-0-1 5.22
FC Copenhagen	1-1-1 4.54	2-0-1 4.78	2-1-0 6.08	2-1-0 3.94	1-0-2 3.33	—	1-1-1 5.41	3-0-0 6.19	2-0-1 5.01	2-0-1 5.48	0-3-0 3.93	2-0-1 4.41
Herfolge	0-1-2 3.73	2-0-1 3.29	1-1-1 4.42	0-1-2 3.47	0-1-2 2.11	1-1-1 2.95	—	1-0-2 4.93	1-1-1 4.16	2-1-0 4.42	0-0-3 3.58	1-0-2 2.91
Ikast	1-1-1 3.10	0-2-1 2.45	1-0-2 4.05	1-0-2 2.72	0-0-3 1.91	0-0-3 2.22	2-0-1 3.41	—	1-1-1 2.78	1-0-2 3.14	1-1-1 2.44	0-0-3 2.44
Lyngby	0-2-1 3.50	2-0-1 3.72	2-0-1 4.67	2-1-0 3.24	0-0-3 2.98	1-0-2 3.34	1-1-1 4.17	1-1-1 5.59	—	3-0-0 4.49	1-1-1 2.81	0-0-3 3.52
Odense	2-0-1 3.29	0-2-1 3.67	0-1-2 5.16	0-1-2 2.98	0-0-3 2.53	1-0-2 2.88	0-1-2 3.91	2-0-1 5.21	0-0-3 3.85	—	0-2-1 2.55	1-0-2 3.07
Silkeborg	3-0-0 4.87	1-2-0 4.36	3-0-0 5.71	1-1-1 4.66	1-1-1 3.07	0-3-0 4.41	3-0-0 4.77	1-1-1 5.96	1-1-1 5.56	1-2-0 5.83	—	2-1-0 4.77
Vejle BK	1-0-2 4.75	0-1-2 3.93	1-1-1 5.76	2-1-0 3.64	1-0-2 3.13	1-0-2 3.92	2-0-1 5.44	3-0-0 5.96	3-0-0 4.81	2-0-1 5.28	0-1-2 3.57	—

Points vs. Goals Scored, Allowed, and Differential

Points plotted against goals scored, allowed, and differential. Use the buttons to switch views; hover a team for exact values. The table gives each fit's R² and slope (the change in points per 10 goals).

Fit Metrics

	R²	Slope
Scored	0.75	+12.4
Allowed	0.68	-7.9
Differential	0.89	+6.1

Scoreline Distribution

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

View:

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.54%	5.56%	4.55%	2.78%	2.02%	1.01%	19.44%
1	5.56%	12.12%	8.33%	5.05%	2.78%	1.26%	35.10%
2	4.55%	8.33%	3.54%	2.53%	1.77%	0.51%	21.21%
3	2.78%	5.05%	2.53%	1.01%	0.76%	0.25%	12.37%
4	2.02%	2.78%	1.77%	0.76%	1.01%	0.25%	8.59%
5+	1.01%	1.26%	0.51%	0.25%	0.25%	—	3.28%
Total	19.44%	35.10%	21.21%	12.37%	8.59%	3.28%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.67	1.67	+0.00
SD	1.39	1.39	2.06
CV	0.83	0.83	—
Max	7	7	+6
Min	0	0	-6

Games Played: 198

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	12.12%	—	3.03%	—	—	18.18%
1	—	15.15%	12.12%	3.03%	—	3.03%	33.33%
2	6.06%	9.09%	—	3.03%	—	—	18.18%
3	3.03%	3.03%	6.06%	—	—	—	12.12%
4	3.03%	3.03%	3.03%	—	6.06%	—	15.15%
5+	—	3.03%	—	—	—	—	3.03%
Total	15.15%	45.45%	21.21%	9.09%	6.06%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.85	1.58	+0.27
SD	1.52	1.32	1.97
CV	0.82	0.84	—
Max	6	6	+5
Min	0	0	-5

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.64	1.45	+0.18
SD	1.45	1.48	2.16
CV	0.89	1.02	—
Max	6	4	+5
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	6.06%	—	3.03%	—	—	9.09%
1	3.03%	15.15%	9.09%	15.15%	—	6.06%	48.48%
2	9.09%	6.06%	—	6.06%	6.06%	3.03%	30.30%
3	—	3.03%	—	3.03%	—	—	6.06%
4	3.03%	—	—	—	—	—	3.03%
5+	—	—	—	3.03%	—	—	3.03%
Total	15.15%	30.30%	9.09%	30.30%	6.06%	9.09%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.55	2.21	-0.67
SD	1.06	1.80	2.13
CV	0.69	0.81	—
Max	5	7	+4
Min	0	0	-6

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	9.09%	6.06%	6.06%	—	—	24.24%
1	—	15.15%	9.09%	6.06%	—	—	30.30%
2	6.06%	6.06%	9.09%	—	—	—	21.21%
3	—	9.09%	3.03%	—	—	—	12.12%
4	—	3.03%	3.03%	—	3.03%	—	9.09%
5+	—	—	3.03%	—	—	—	3.03%
Total	9.09%	42.42%	33.33%	12.12%	3.03%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.61	1.58	+0.03
SD	1.39	0.94	1.63
CV	0.87	0.59	—
Max	5	4	+3
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	—	—	3.03%	—	—	9.09%
1	12.12%	6.06%	6.06%	3.03%	3.03%	—	30.30%
2	9.09%	12.12%	—	—	—	—	21.21%
3	3.03%	6.06%	3.03%	—	—	—	12.12%
4	—	6.06%	6.06%	—	—	—	12.12%
5+	6.06%	9.09%	—	—	—	—	15.15%
Total	36.36%	39.39%	15.15%	6.06%	3.03%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.45	1.00	+1.45
SD	1.87	1.03	2.21
CV	0.76	1.03	—
Max	7	4	+6
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	6.06%	6.06%	—	3.03%	—	15.15%
1	3.03%	15.15%	6.06%	—	3.03%	—	27.27%
2	—	15.15%	6.06%	—	—	—	21.21%
3	—	15.15%	6.06%	—	—	—	21.21%
4	3.03%	6.06%	—	3.03%	—	—	12.12%
5+	—	—	3.03%	—	—	—	3.03%
Total	6.06%	57.58%	27.27%	3.03%	6.06%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.00	1.45	+0.55
SD	1.46	0.90	1.82
CV	0.73	0.62	—
Max	6	4	+4
Min	0	0	-4

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.33	2.09	-0.76
SD	1.14	1.33	1.73
CV	0.85	0.64	—
Max	4	5	+3
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	—	6.06%	—	6.06%	6.06%	18.18%
1	—	9.09%	9.09%	18.18%	3.03%	—	39.39%
2	—	12.12%	6.06%	3.03%	3.03%	—	24.24%
3	—	3.03%	—	—	—	3.03%	6.06%
4	—	3.03%	—	6.06%	—	3.03%	12.12%
5+	—	—	—	—	—	—	—
Total	—	27.27%	21.21%	27.27%	12.12%	12.12%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.55	2.61	-1.06
SD	1.23	1.34	1.92
CV	0.79	0.52	—
Max	4	5	+3
Min	0	1	-5

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.61	1.88	-0.27
SD	1.56	1.67	2.35
CV	0.97	0.89	—
Max	5	7	+4
Min	0	0	-6

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	18.18%	6.06%	3.03%	3.03%	—	33.33%
1	—	15.15%	12.12%	6.06%	3.03%	—	36.36%
2	3.03%	3.03%	—	6.06%	—	3.03%	15.15%
3	3.03%	3.03%	—	3.03%	—	—	9.09%
4	—	3.03%	—	—	—	—	3.03%
5+	3.03%	—	—	—	—	—	3.03%
Total	12.12%	42.42%	18.18%	18.18%	6.06%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.21	1.73	-0.52
SD	1.27	1.26	1.89
CV	1.05	0.73	—
Max	5	5	+5
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	—	3.03%	—	—	—	12.12%
1	9.09%	18.18%	6.06%	—	3.03%	—	36.36%
2	9.09%	12.12%	9.09%	—	—	—	30.30%
3	3.03%	9.09%	3.03%	—	—	—	15.15%
4	6.06%	—	—	—	—	—	6.06%
5+	—	—	—	—	—	—	—
Total	36.36%	39.39%	21.21%	—	3.03%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.67	0.94	+0.73
SD	1.08	0.93	1.48
CV	0.65	0.99	—
Max	4	4	+4
Min	0	0	-3

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.61	1.55	+0.06
SD	1.20	1.54	2.24
CV	0.75	1.00	—
Max	4	5	+4
Min	0	0	-5

Games Played: 33

Home-Field Advantage Edge

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

Top Overachievers & Disappointments

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

Biggest Overachievers

#	Team	Actual	Sim	vsSim
1	Brondby	76	61.51	+14.49
2	Silkeborg	63	53.84	+9.16
3	FC Copenhagen	61	53.24	+7.76
4	Lyngby	45	42.14	+2.86
5	Vejle BK	52	50.22	+1.78

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Odense	25	39.11	-14.11
2	Aarhus GF	43	51.12	-8.12
3	Herfolge	34	39.91	-5.91
4	Aalborg	44	49.02	-5.02
5	Ikast	29	30.74	-1.74

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	Brondby	12	Oct 5 – Apr 5	1 in 1,563
2	Vejle BK	5	Aug 31 – Sep 28	1 in 65
3	Ikast	3	Aug 15 – Aug 31	1 in 27
4	FC Copenhagen	3	Aug 8 – Aug 24	1 in 26
5	Aalborg	3	Aug 24 – Sep 7	1 in 22

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Aarhus GF	5	Aug 15 – Sep 14	1 in 213
2	Ikast	8	Oct 24 – Mar 29	1 in 124
3	Odense	5	Aug 3 – Aug 31	1 in 82
4	Vejle BK	4	Oct 26 – Nov 16	1 in 53
5	Aarhus Fremad	5	Aug 3 – Aug 31	1 in 37

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Silkeborg	14	Jul 27 – Oct 26	1 in 318
2	FC Copenhagen	12	Jul 27 – Oct 14	1 in 199
3	Brondby	16	Sep 28 – Apr 19	1 in 81
4	Odense	6	Nov 2 – Mar 27	1 in 45
5	Aarhus GF	7	Oct 17 – Mar 15	1 in 18

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Odense	14	Jul 27 – Oct 26	1 in 458
2	Aalborg	7	Apr 19 – May 17	1 in 54
3	Vejle BK	7	Oct 26 – Mar 22	1 in 46
4	Ikast	14	Oct 24 – May 3	1 in 42
5	Aarhus GF	6	Aug 15 – Sep 21	1 in 32

Finish Position Heatmap

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

Team	1	2	3	4	5	6	7	8	9	10	11	12
Brondby	54.15%	20.05%	11.00%	6.82%	3.74%	2.31%	1.03%	0.59%	0.21%	0.09%	0.01%	—
Silkeborg	13.51%	19.98%	16.75%	14.99%	11.28%	8.72%	6.40%	4.31%	2.31%	1.14%	0.43%	0.18%
FC Copenhagen	11.25%	18.50%	16.93%	15.01%	11.78%	9.66%	7.47%	4.80%	2.67%	1.28%	0.53%	0.12%
Vejle BK	5.89%	10.37%	13.24%	13.94%	14.25%	12.73%	11.23%	7.89%	5.41%	3.20%	1.41%	0.44%
AB Copenhagen	2.94%	6.01%	9.62%	10.69%	12.94%	13.61%	13.41%	12.01%	8.72%	5.96%	2.93%	1.16%
Lyngby	0.51%	1.69%	3.24%	4.96%	7.43%	9.93%	13.20%	15.88%	16.04%	13.72%	9.03%	4.37%
Aalborg	4.46%	8.34%	11.46%	13.17%	13.84%	13.76%	12.50%	9.73%	6.79%	3.68%	1.82%	0.45%
Aarhus GF	6.73%	13.03%	13.88%	14.40%	13.92%	12.56%	9.76%	7.45%	4.45%	2.59%	0.95%	0.28%
Herfolge	0.34%	0.96%	1.94%	2.87%	5.07%	6.81%	10.34%	13.76%	17.89%	17.73%	14.74%	7.55%
Aarhus Fremad	—	0.09%	0.23%	0.42%	1.18%	2.22%	3.39%	6.31%	10.77%	19.55%	27.76%	28.08%
Ikast	—	0.03%	0.18%	0.23%	0.47%	0.84%	2.11%	3.90%	6.85%	12.25%	25.14%	48.00%
Odense	0.22%	0.95%	1.53%	2.50%	4.10%	6.85%	9.16%	13.37%	17.89%	18.81%	15.25%	9.37%

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

+15.15%

Clear Edge

46.97%21.21%31.82%

Elo Value

Home Edge

155 Elo

0.006 goals per Elo point

053.05400

Scoring Tilt

Expected

+0.39 goals

Neutral

-2+0.34+2

Title Race

How these are measured

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

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

Title-Race Openness

3.0

Top-Heavy

124610

Champion Preseason Odds

54%

Brondby, 1st of 12

LongshotFavorite

Title Margin

Expected

0.39/gm

Tight Race

00.180.6/gm

Simulation-Based Surprises

How these are measured

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

Luck Spread: Standard deviation of the gap between each team's actual points and their simulated average points. The gold line is the spread the model expected from chance alone.
As Expected: under 5.86 * Some Luck: 5.86 to 8.79 * Lucky: 8.79 to 11.72 * Wild Swing: 11.72 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 1.43 * Close: 1.43 to 2.15 * Off: 2.15 to 2.86 * Way Off: 2.86 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 0.71 * A Surprise: 0.71 to 1.14 * Several Surprises: 1.14 to 1.56 * Many Surprises: 1.56 and up.

Luck Spread

Expected

7.60 points

Some Luck

07.3218

Average Finish Error

Expected

1.17

Pinpoint

01.794

Biggest Overachiever

Expected 95.83%

98.20%

Brondby

50100

Biggest Underachiever

Expected 4.17%

2.80%

Odense

050

Season Outliers

Expected

2 of 12

Minimal Outliers

01.26

Unexpected Relegations

Expected

1 of 2

A Surprise

00.72

Parity

How these are measured

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

Gini Index: How evenly points were spread across the league. Lower means a tight, balanced table; higher means a few teams ran off with most of the points.
Balanced: under 0.12 * Even: 0.12 to 0.18 * 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

0.18

Even

00.120.180.260.5

Noll-Scully

Coin-flip

1.75

Strong Separation

01.003

Interquartile Edge

65%

Slight Edge

50%60%70%80%100%

Best vs. Worst

Baseline

88%

Strong Edge

50%86%100%

Close Games

Expected

56%

Very Frequent

0%53%100%

Blowouts

Expected

21%

Frequent

0%23%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

0.29

Lopsided

00.10.180.280.5

Strangeness

Expected

1.07

As Expected

01.002

Repeatability

0.42

Some Carryover

00.30.60.851

Upset Rate

Expected

26%

As Expected

0%28%50%

Clear Favorite Upset Rate

Expected

25%

Shaky Favorites

0%23%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

0.55

Excellent

0.010.050.10.51

Calibration slope

Ideal

1.10

Calibrated

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.078

Well Within Noise

00.1210.3

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%
Silkeborg	99.39%	0.61%
FC Copenhagen	99.35%	0.65%
Aarhus GF	98.77%	1.23%
Vejle BK	98.15%	1.85%
Aalborg	97.73%	2.27%
AB Copenhagen	95.91%	4.09%
Lyngby	86.60%	13.40%
Herfolge	77.71%	22.29%
Odense	75.38%	24.62%
Aarhus Fremad	44.16%	55.84%
Ikast	26.86%	73.14%

Filter by Team:

Overall Game Log

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

Date	Opponent	Score	Pre Elo	Opp Elo	Win %	Tie %	Loss %	Elo Δ	Points
1997-07-27	Aarhus GF	W 2-1	1598	1732	28.14%	21.98%	49.88%	+7.8	3
1997-07-27	@ Aarhus Fremad	L 1-2	1732	1598	49.88%	21.98%	28.14%	-7.8	0
1997-07-27	Vejle BK	W 2-1	1675	1714	40.71%	22.49%	36.80%	+6.1	3
1997-07-27	@ FC Copenhagen	L 1-2	1714	1675	36.80%	22.49%	40.71%	-6.1	0
1997-07-27	Silkeborg	L 0-2	1684	1683	46.20%	22.27%	31.53%	-14.6	0
1997-07-27	@ Herfolge	W 2-0	1683	1684	31.53%	22.27%	46.20%	+14.6	3
1997-07-27	AB Copenhagen	L 0-4	1611	1651	40.62%	22.49%	36.89%	-25.0	0
1997-07-27	@ Ikast	W 4-0	1651	1611	36.89%	22.49%	40.62%	+25.0	3
1997-07-27	Brondby	L 1-7	1671	1735	37.14%	22.49%	40.37%	-28.1	0
1997-07-27	@ Lyngby	W 7-1	1735	1671	40.37%	22.49%	37.14%	+28.1	3
1997-07-27	Aalborg	D 0-0	1678	1690	44.50%	22.37%	33.13%	-0.5	1
1997-07-27	@ Odense	D 0-0	1690	1678	33.13%	22.37%	44.50%	+0.5	1
1997-08-03	Herfolge	L 2-3	1691	1669	49.08%	22.06%	28.87%	-7.3	1
1997-08-03	@ Aalborg	W 3-2	1669	1691	28.87%	22.06%	49.08%	+7.3	3
1997-08-03	Odense	W 5-2	1724	1677	52.28%	21.72%	26.00%	+9.7	3
1997-08-03	@ Aarhus GF	L 2-5	1677	1724	26.00%	21.72%	52.28%	-9.7	1
1997-08-03	Lyngby	D 4-4	1676	1643	50.53%	21.92%	27.55%	-0.5	4
1997-08-03	@ AB Copenhagen	D 4-4	1643	1676	27.55%	21.92%	50.53%	+0.5	1
1997-08-03	Aarhus Fremad	W 4-2	1763	1606	64.59%	19.28%	16.12%	+4.5	6
1997-08-03	@ Brondby	L 2-4	1606	1763	16.12%	19.28%	64.59%	-4.5	3
1997-08-03	FC Copenhagen	D 1-1	1698	1681	48.49%	22.11%	29.40%	-0.7	4
1997-08-03	@ Silkeborg	D 1-1	1681	1698	29.40%	22.11%	48.49%	+0.7	4
1997-08-03	Ikast	W 2-0	1708	1586	60.98%	20.20%	18.82%	+6.8	3
1997-08-03	@ Vejle BK	L 0-2	1586	1708	18.82%	20.20%	60.98%	-6.8	0
1997-08-08	Aalborg	W 4-3	1681	1683	45.92%	22.29%	31.79%	+5.0	7
1997-08-08	@ FC Copenhagen	L 3-4	1683	1681	31.79%	22.29%	45.92%	-5.0	1
1997-08-10	AB Copenhagen	L 2-3	1601	1675	35.81%	22.47%	41.73%	-5.7	3
1997-08-10	@ Aarhus Fremad	W 3-2	1675	1601	41.73%	22.47%	35.81%	+5.7	7
1997-08-10	Aarhus GF	L 1-3	1676	1734	38.08%	22.50%	39.42%	-10.8	3
1997-08-10	@ Herfolge	W 3-1	1734	1676	39.42%	22.50%	38.08%	+10.8	6
1997-08-10	Ikast	W 5-4	1643	1579	54.40%	21.43%	24.17%	+3.9	4
1997-08-10	@ Lyngby	L 4-5	1579	1643	24.17%	21.43%	54.40%	-3.9	0
1997-08-10	Brondby	L 0-1	1668	1768	32.32%	22.32%	45.35%	-5.8	1
1997-08-10	@ Odense	W 1-0	1768	1668	45.35%	22.32%	32.32%	+5.8	9
1997-08-10	Vejle BK	W 2-1	1697	1715	43.80%	22.40%	33.80%	+5.7	7
1997-08-10	@ Silkeborg	L 1-2	1715	1697	33.80%	22.40%	43.80%	-5.7	3
1997-08-15	Silkeborg	D 2-2	1678	1703	42.79%	22.44%	34.78%	-0.2	2
1997-08-15	@ Aalborg	D 2-2	1703	1678	34.78%	22.44%	42.79%	+0.2	8
1997-08-15	FC Copenhagen	L 1-3	1745	1686	53.70%	21.53%	24.77%	-14.4	6
1997-08-15	@ Aarhus GF	W 3-1	1686	1745	24.77%	21.53%	53.70%	+14.4	10
1997-08-15	Odense	W 2-1	1681	1662	48.71%	22.09%	29.20%	+5.0	10
1997-08-15	@ AB Copenhagen	L 1-2	1662	1681	29.20%	22.09%	48.71%	-5.0	1
1997-08-15	Herfolge	W 5-1	1774	1665	59.48%	20.53%	19.99%	+11.4	12
1997-08-15	@ Brondby	L 1-5	1665	1774	19.99%	20.53%	59.48%	-11.4	3
1997-08-15	Aarhus Fremad	W 2-1	1575	1596	43.36%	22.42%	34.23%	+5.8	3
1997-08-15	@ Ikast	L 1-2	1596	1575	34.23%	22.42%	43.36%	-5.8	3
1997-08-15	Lyngby	W 1-0	1709	1647	54.14%	21.47%	24.39%	+4.6	6
1997-08-15	@ Vejle BK	L 0-1	1647	1709	24.39%	21.47%	54.14%	-4.6	4
1997-08-24	Vejle BK	W 3-0	1678	1714	41.27%	22.48%	36.25%	+17.5	5
1997-08-24	@ Aalborg	L 0-3	1714	1678	36.25%	22.48%	41.27%	-17.5	6
1997-08-24	Lyngby	L 2-3	1590	1643	38.82%	22.50%	38.68%	-6.0	3
1997-08-24	@ Aarhus Fremad	W 3-2	1643	1590	38.68%	22.50%	38.82%	+6.0	7
1997-08-24	Brondby	W 4-1	1701	1785	34.42%	22.42%	43.16%	+16.9	13
1997-08-24	@ FC Copenhagen	L 1-4	1785	1701	43.16%	22.42%	34.42%	-16.9	12
1997-08-24	AB Copenhagen	D 0-0	1654	1686	41.76%	22.47%	35.77%	-0.2	4
1997-08-24	@ Herfolge	D 0-0	1686	1654	35.77%	22.47%	41.76%	+0.2	11
1997-08-24	Ikast	L 1-2	1657	1581	55.82%	21.21%	22.97%	-8.6	1
1997-08-24	@ Odense	W 2-1	1581	1657	22.97%	21.21%	55.82%	+8.6	6
1997-08-24	Aarhus GF	W 2-0	1703	1730	42.43%	22.45%	35.12%	+11.7	11
1997-08-24	@ Silkeborg	L 0-2	1730	1703	35.12%	22.45%	42.43%	-11.7	6
1997-08-31	Aalborg	L 0-1	1719	1696	49.24%	22.04%	28.72%	-8.2	6
1997-08-31	@ Aarhus GF	W 1-0	1696	1719	28.72%	22.04%	49.24%	+8.2	8
1997-08-31	FC Copenhagen	D 1-1	1686	1718	41.81%	22.46%	35.72%	-0.2	12
1997-08-31	@ AB Copenhagen	D 1-1	1718	1686	35.72%	22.46%	41.81%	+0.2	14
1997-08-31	Silkeborg	L 1-2	1768	1715	53.06%	21.62%	25.32%	-8.2	12
1997-08-31	@ Brondby	W 2-1	1715	1768	25.32%	21.62%	53.06%	+8.2	14
1997-08-31	Herfolge	W 4-1	1589	1654	37.14%	22.49%	40.36%	+16.0	9
1997-08-31	@ Ikast	L 1-4	1654	1589	40.36%	22.49%	37.14%	-16.0	4
1997-08-31	Odense	W 1-0	1649	1648	46.21%	22.27%	31.52%	+5.7	10
1997-08-31	@ Lyngby	L 0-1	1648	1649	31.52%	22.27%	46.21%	-5.7	1
1997-08-31	Aarhus Fremad	W 4-2	1696	1584	59.91%	20.44%	19.65%	+5.5	9
1997-08-31	@ Vejle BK	L 2-4	1584	1696	19.65%	20.44%	59.91%	-5.5	3
1997-09-07	Brondby	W 3-0	1704	1760	38.33%	22.50%	39.17%	+18.6	11
1997-09-07	@ Aalborg	L 0-3	1760	1704	39.17%	22.50%	38.33%	-18.6	12
1997-09-07	Vejle BK	L 1-2	1711	1702	47.38%	22.19%	30.42%	-7.5	6
1997-09-07	@ Aarhus GF	W 2-1	1702	1711	30.42%	22.19%	47.38%	+7.5	12
1997-09-07	Ikast	W 3-1	1718	1606	59.94%	20.43%	19.63%	+6.1	17
1997-09-07	@ FC Copenhagen	L 1-3	1606	1718	19.63%	20.43%	59.94%	-6.1	9
1997-09-07	Lyngby	L 2-4	1638	1654	43.93%	22.39%	33.68%	-10.8	4
1997-09-07	@ Herfolge	W 4-2	1654	1638	33.68%	22.39%	43.93%	+10.9	13
1997-09-07	Aarhus Fremad	D 1-1	1643	1578	54.41%	21.43%	24.16%	-1.1	2
1997-09-07	@ Odense	D 1-1	1578	1643	24.16%	21.43%	54.41%	+1.1	4
1997-09-07	AB Copenhagen	W 1-0	1723	1686	51.07%	21.86%	27.07%	+5.0	17
1997-09-07	@ Silkeborg	L 0-1	1686	1723	27.07%	21.86%	51.07%	-5.0	12
1997-09-14	Herfolge	L 1-2	1580	1627	39.57%	22.50%	37.93%	-6.4	4
1997-09-14	@ Aarhus Fremad	W 2-1	1627	1580	37.93%	22.50%	39.57%	+6.4	7
1997-09-14	Aalborg	W 2-0	1681	1722	40.41%	22.49%	37.10%	+12.3	15
1997-09-14	@ AB Copenhagen	L 0-2	1722	1681	37.10%	22.49%	40.41%	-12.2	11
1997-09-14	Aarhus GF	W 2-0	1741	1703	51.20%	21.84%	26.96%	+9.4	15
1997-09-14	@ Brondby	L 0-2	1703	1741	26.96%	21.84%	51.20%	-9.4	6
1997-09-14	Silkeborg	D 2-2	1599	1728	28.75%	22.05%	49.20%	+0.6	10
1997-09-14	@ Ikast	D 2-2	1728	1599	49.20%	22.05%	28.75%	-0.5	18
1997-09-14	FC Copenhagen	L 0-4	1665	1724	37.90%	22.50%	39.60%	-23.6	13
1997-09-14	@ Lyngby	W 4-0	1724	1665	39.60%	22.50%	37.90%	+23.7	20
1997-09-14	Odense	W 2-0	1709	1642	54.81%	21.37%	23.82%	+8.4	15
1997-09-14	@ Vejle BK	L 0-2	1642	1709	23.82%	21.37%	54.81%	-8.5	2
1997-09-20	Lyngby	D 0-0	1728	1641	57.01%	21.01%	21.98%	-1.5	19
1997-09-20	@ Silkeborg	D 0-0	1641	1728	21.98%	21.01%	57.01%	+1.5	14
1997-09-21	Ikast	D 2-2	1710	1600	59.70%	20.49%	19.82%	-1.1	12
1997-09-21	@ Aalborg	D 2-2	1600	1710	19.82%	20.49%	59.70%	+1.1	11
1997-09-21	AB Copenhagen	D 1-1	1694	1693	46.24%	22.27%	31.49%	-0.5	7
1997-09-21	@ Aarhus GF	D 1-1	1693	1694	31.49%	22.27%	46.24%	+0.5	16
1997-09-21	Vejle BK	L 1-2	1751	1718	50.56%	21.91%	27.53%	-7.9	15
1997-09-21	@ Brondby	W 2-1	1718	1751	27.53%	21.91%	50.56%	+7.9	18
1997-09-21	Aarhus Fremad	D 1-1	1748	1573	66.25%	18.80%	14.95%	-2.0	21
1997-09-21	@ FC Copenhagen	D 1-1	1573	1748	14.95%	18.80%	66.25%	+2.0	5
1997-09-21	Odense	W 4-1	1633	1633	46.22%	22.27%	31.50%	+13.2	10
1997-09-21	@ Herfolge	L 1-4	1633	1633	31.50%	22.27%	46.22%	-13.2	2
1997-09-28	Silkeborg	L 1-3	1575	1726	26.21%	21.75%	52.05%	-8.0	5
1997-09-28	@ Aarhus Fremad	W 3-1	1726	1575	52.05%	21.75%	26.21%	+8.0	22
1997-09-28	Brondby	D 1-1	1694	1743	39.32%	22.50%	38.18%	-0.0	17
1997-09-28	@ AB Copenhagen	D 1-1	1743	1694	38.18%	22.50%	39.32%	+0.0	16
1997-09-28	Aarhus GF	L 1-3	1601	1693	33.37%	22.38%	44.25%	-9.8	11
1997-09-28	@ Ikast	W 3-1	1693	1601	44.25%	22.38%	33.37%	+9.8	10
1997-09-28	Aalborg	W 4-1	1643	1709	36.89%	22.49%	40.62%	+16.1	17
1997-09-28	@ Lyngby	L 1-4	1709	1643	40.62%	22.49%	36.89%	-16.1	12
1997-09-28	FC Copenhagen	L 2-3	1620	1746	29.11%	22.08%	48.81%	-4.8	2
1997-09-28	@ Odense	W 3-2	1746	1620	48.81%	22.08%	29.11%	+4.8	24
1997-09-28	Herfolge	W 3-0	1725	1647	56.15%	21.16%	22.69%	+11.7	21
1997-09-28	@ Vejle BK	L 0-3	1647	1725	22.69%	21.16%	56.15%	-11.8	10
1997-10-05	Aarhus Fremad	W 1-0	1693	1567	61.36%	20.11%	18.52%	+3.5	15
1997-10-05	@ Aalborg	L 0-1	1567	1693	18.52%	20.11%	61.36%	-3.5	5
1997-10-05	Lyngby	D 1-1	1703	1659	51.91%	21.76%	26.33%	-0.9	11
1997-10-05	@ Aarhus GF	D 1-1	1659	1703	26.33%	21.76%	51.91%	+0.9	18
1997-10-05	Ikast	W 5-0	1743	1591	64.01%	19.44%	16.55%	+14.0	19
1997-10-05	@ Brondby	L 0-5	1591	1743	16.55%	19.44%	64.01%	-14.0	11
1997-10-05	FC Copenhagen	D 2-2	1635	1751	30.34%	22.19%	47.47%	+0.5	11
1997-10-05	@ Herfolge	D 2-2	1751	1635	47.47%	22.19%	30.34%	-0.5	25
1997-10-05	Odense	D 1-1	1734	1615	60.65%	20.28%	19.07%	-1.6	23
1997-10-05	@ Silkeborg	D 1-1	1615	1734	19.07%	20.28%	60.65%	+1.6	3
1997-10-05	AB Copenhagen	L 1-4	1737	1694	51.85%	21.77%	26.38%	-19.7	21
1997-10-05	@ Vejle BK	W 4-1	1694	1737	26.38%	21.77%	51.85%	+19.7	20
1997-10-14	Brondby	L 0-3	1702	1757	38.48%	22.50%	39.02%	-18.3	11
1997-10-14	@ Aarhus GF	W 3-0	1757	1702	39.02%	22.50%	38.48%	+18.3	22
1997-10-14	Silkeborg	D 1-1	1750	1733	48.52%	22.11%	29.38%	-0.7	26
1997-10-14	@ FC Copenhagen	D 1-1	1733	1750	29.38%	22.11%	48.52%	+0.7	24
1997-10-14	Aalborg	L 1-2	1635	1696	37.59%	22.50%	39.92%	-6.2	11
1997-10-14	@ Herfolge	W 2-1	1696	1635	39.92%	22.50%	37.59%	+6.2	18
1997-10-14	Vejle BK	L 1-3	1577	1717	27.45%	21.90%	50.65%	-8.3	11
1997-10-14	@ Ikast	W 3-1	1717	1577	50.65%	21.90%	27.45%	+8.3	24
1997-10-14	AB Copenhagen	D 1-1	1660	1713	38.69%	22.50%	38.81%	+0.0	19
1997-10-14	@ Lyngby	D 1-1	1713	1660	38.81%	22.50%	38.69%	-0.0	21
1997-10-14	Aarhus Fremad	L 1-3	1617	1564	53.06%	21.62%	25.32%	-14.2	3
1997-10-14	@ Odense	W 3-1	1564	1617	25.32%	21.62%	53.06%	+14.2	8
1997-10-17	Aarhus GF	L 1-2	1578	1684	31.59%	22.28%	46.13%	-5.4	8
1997-10-17	@ Aarhus Fremad	W 2-1	1684	1578	46.13%	22.28%	31.59%	+5.4	14
1997-10-19	Odense	D 1-1	1703	1602	58.59%	20.71%	20.70%	-1.4	19
1997-10-19	@ Aalborg	D 1-1	1602	1703	20.70%	20.71%	58.59%	+1.4	4
1997-10-19	Ikast	L 1-2	1713	1569	63.29%	19.63%	17.08%	-9.6	21
1997-10-19	@ AB Copenhagen	W 2-1	1569	1713	17.08%	19.63%	63.29%	+9.6	14
1997-10-19	Lyngby	W 2-1	1775	1660	60.23%	20.37%	19.40%	+3.5	25
1997-10-19	@ Brondby	L 1-2	1660	1775	19.40%	20.37%	60.23%	-3.5	19
1997-10-19	Herfolge	W 2-0	1733	1629	59.03%	20.62%	20.34%	+7.3	27
1997-10-19	@ Silkeborg	L 0-2	1629	1733	20.34%	20.62%	59.03%	-7.3	11
1997-10-19	FC Copenhagen	W 1-0	1726	1749	42.92%	22.43%	34.65%	+6.2	27
1997-10-19	@ Vejle BK	L 0-1	1749	1726	34.65%	22.43%	42.92%	-6.1	26
1997-10-24	Brondby	L 2-4	1579	1779	21.27%	20.85%	57.88%	-5.9	14
1997-10-24	@ Ikast	W 4-2	1779	1579	57.88%	20.85%	21.27%	+5.9	28
1997-10-26	Aalborg	W 4-1	1689	1701	44.51%	22.37%	33.12%	+13.7	17
1997-10-26	@ Aarhus GF	L 1-4	1701	1689	33.12%	22.37%	44.51%	-13.7	19
1997-10-26	Vejle BK	W 3-2	1704	1732	42.32%	22.45%	35.23%	+5.6	24
1997-10-26	@ AB Copenhagen	L 2-3	1732	1704	35.23%	22.45%	42.32%	-5.6	27
1997-10-26	Herfolge	W 3-1	1743	1622	60.91%	20.22%	18.87%	+5.9	29
1997-10-26	@ FC Copenhagen	L 1-3	1622	1743	18.87%	20.22%	60.91%	-5.9	11
1997-10-26	Aarhus Fremad	L 0-2	1656	1572	56.75%	21.05%	22.19%	-17.4	19
1997-10-26	@ Lyngby	W 2-0	1572	1656	22.19%	21.05%	56.75%	+17.4	11
1997-10-26	Silkeborg	L 1-3	1604	1741	27.84%	21.95%	50.22%	-8.4	4
1997-10-26	@ Odense	W 3-1	1741	1604	50.22%	21.95%	27.84%	+8.4	30
1997-10-31	Aarhus GF	L 0-2	1749	1703	52.21%	21.73%	26.06%	-16.2	30
1997-10-31	@ Silkeborg	W 2-0	1703	1749	26.06%	21.73%	52.21%	+16.2	20
1997-11-02	Lyngby	W 5-0	1687	1639	52.48%	21.69%	25.83%	+21.2	22
1997-11-02	@ Aalborg	L 0-5	1639	1687	25.83%	21.69%	52.48%	-21.2	19
1997-11-02	Ikast	W 5-3	1590	1573	48.47%	22.11%	29.42%	+7.4	14
1997-11-02	@ Aarhus Fremad	L 3-5	1573	1590	29.42%	22.11%	48.47%	-7.4	14
1997-11-02	AB Copenhagen	W 2-1	1785	1709	55.71%	21.23%	23.06%	+4.1	31
1997-11-02	@ Brondby	L 1-2	1709	1785	23.06%	21.23%	55.71%	-4.1	24
1997-11-02	Odense	L 0-2	1749	1596	64.21%	19.39%	16.40%	-19.4	29
1997-11-02	@ FC Copenhagen	W 2-0	1596	1749	16.40%	19.39%	64.21%	+19.4	7
1997-11-02	Vejle BK	W 3-1	1616	1726	31.00%	22.24%	46.76%	+12.8	14
1997-11-02	@ Herfolge	L 1-3	1726	1616	46.76%	22.24%	31.00%	-12.8	27
1997-11-09	FC Copenhagen	D 2-2	1719	1730	44.72%	22.36%	32.93%	-0.3	21
1997-11-09	@ Aarhus GF	D 2-2	1730	1719	32.93%	22.36%	44.72%	+0.3	30
1997-11-09	Aarhus Fremad	W 6-1	1705	1597	59.45%	20.54%	20.01%	+13.9	27
1997-11-09	@ AB Copenhagen	L 1-6	1597	1705	20.01%	20.54%	59.45%	-13.9	14
1997-11-09	Aalborg	L 0-2	1565	1709	27.07%	21.86%	51.08%	-9.4	14
1997-11-09	@ Ikast	W 2-0	1709	1565	51.08%	21.86%	27.07%	+9.5	25
1997-11-09	Silkeborg	W 4-1	1618	1733	30.44%	22.20%	47.37%	+18.3	22
1997-11-09	@ Lyngby	L 1-4	1733	1618	47.37%	22.20%	30.44%	-18.3	30
1997-11-09	Herfolge	D 3-3	1615	1629	44.31%	22.38%	33.31%	-0.2	8
1997-11-09	@ Odense	D 3-3	1629	1615	33.31%	22.38%	44.31%	+0.2	15
1997-11-09	Brondby	L 1-4	1713	1789	35.64%	22.46%	41.90%	-14.5	27
1997-11-09	@ Vejle BK	W 4-1	1789	1713	41.90%	22.46%	35.64%	+14.5	34
1997-11-16	AB Copenhagen	W 6-1	1718	1719	46.04%	22.28%	31.68%	+20.9	28
1997-11-16	@ Aalborg	L 1-6	1719	1718	31.68%	22.28%	46.04%	-20.9	27
1997-11-16	Brondby	L 1-3	1583	1803	19.52%	20.40%	60.07%	-6.1	14
1997-11-16	@ Aarhus Fremad	W 3-1	1803	1583	60.07%	20.40%	19.52%	+6.1	37
1997-11-16	Lyngby	W 3-2	1730	1636	57.88%	20.85%	21.27%	+3.6	33
1997-11-16	@ FC Copenhagen	L 2-3	1636	1730	21.27%	20.85%	57.88%	-3.6	22
1997-11-16	Aarhus GF	D 2-2	1629	1719	33.67%	22.39%	43.93%	+0.3	16
1997-11-16	@ Herfolge	D 2-2	1719	1629	43.93%	22.39%	33.67%	-0.3	22
1997-11-16	Vejle BK	W 2-1	1615	1699	34.41%	22.42%	43.17%	+6.9	11
1997-11-16	@ Odense	L 1-2	1699	1615	43.17%	22.42%	34.41%	-6.9	27
1997-11-16	Ikast	W 3-2	1714	1556	64.71%	19.25%	16.04%	+2.7	33
1997-11-16	@ Silkeborg	L 2-3	1556	1714	16.04%	19.25%	64.71%	-2.8	14
1997-11-23	Odense	D 1-1	1718	1622	58.20%	20.79%	21.01%	-1.4	23
1997-11-23	@ Aarhus GF	D 1-1	1622	1718	21.01%	20.79%	58.20%	+1.4	12
1997-11-23	Silkeborg	L 1-2	1698	1717	43.59%	22.41%	34.00%	-7.0	27
1997-11-23	@ AB Copenhagen	W 2-1	1717	1698	34.00%	22.41%	43.59%	+7.0	36
1997-11-23	Aalborg	W 1-0	1809	1739	55.13%	21.32%	23.55%	+4.4	40
1997-11-23	@ Brondby	L 0-1	1739	1809	23.55%	21.32%	55.13%	-4.4	28
1997-11-23	FC Copenhagen	L 1-2	1553	1734	23.14%	21.24%	55.62%	-4.1	14
1997-11-23	@ Ikast	W 2-1	1734	1553	55.62%	21.24%	23.14%	+4.1	36
1997-11-23	Herfolge	D 1-1	1632	1629	46.63%	22.25%	31.12%	-0.6	23
1997-11-23	@ Lyngby	D 1-1	1629	1632	31.12%	22.25%	46.63%	+0.5	17
1997-11-23	Aarhus Fremad	D 3-3	1692	1577	60.18%	20.38%	19.44%	-1.0	28
1997-11-23	@ Vejle BK	D 3-3	1577	1692	19.44%	20.38%	60.18%	+1.0	15
1998-03-13	Brondby	L 1-2	1724	1814	33.70%	22.39%	43.91%	-5.7	36
1998-03-13	@ Silkeborg	W 2-1	1814	1724	43.91%	22.39%	33.70%	+5.7	43
1998-03-15	Aarhus Fremad	W 3-1	1735	1578	64.49%	19.31%	16.20%	+5.1	31
1998-03-15	@ Aalborg	L 1-3	1578	1735	16.20%	19.31%	64.49%	-5.1	15
1998-03-15	Vejle BK	D 0-0	1717	1691	49.61%	22.01%	28.38%	-0.9	24
1998-03-15	@ Aarhus GF	D 0-0	1691	1717	28.38%	22.01%	49.61%	+0.9	29
1998-03-15	AB Copenhagen	W 2-1	1738	1691	52.22%	21.72%	26.06%	+4.6	39
1998-03-15	@ FC Copenhagen	L 1-2	1691	1738	26.06%	21.72%	52.22%	-4.6	27
1998-03-15	Ikast	W 2-1	1630	1549	56.37%	21.12%	22.51%	+4.0	20
1998-03-15	@ Herfolge	L 1-2	1549	1630	22.51%	21.12%	56.37%	-4.0	14
1998-03-20	FC Copenhagen	W 2-0	1819	1742	55.95%	21.19%	22.86%	+8.1	46
1998-03-20	@ Brondby	L 0-2	1742	1819	22.86%	21.19%	55.95%	-8.1	39
1998-03-22	Silkeborg	L 0-1	1573	1718	26.85%	21.83%	51.32%	-5.0	15
1998-03-22	@ Aarhus Fremad	W 1-0	1718	1573	51.32%	21.83%	26.85%	+5.0	39
1998-03-22	Herfolge	W 2-1	1687	1634	53.06%	21.62%	25.33%	+4.5	30
1998-03-22	@ AB Copenhagen	L 1-2	1634	1687	25.33%	21.62%	53.06%	-4.5	20
1998-03-22	Odense	L 1-4	1545	1623	35.25%	22.45%	42.30%	-14.4	14
1998-03-22	@ Ikast	W 4-1	1623	1545	42.30%	22.45%	35.25%	+14.4	15
1998-03-22	Aarhus GF	W 3-0	1632	1716	34.42%	22.42%	43.16%	+20.1	26
1998-03-22	@ Lyngby	L 0-3	1716	1632	43.16%	22.42%	34.42%	-20.1	24
1998-03-22	Aalborg	D 1-1	1692	1740	39.51%	22.50%	37.99%	-0.0	30
1998-03-22	@ Vejle BK	D 1-1	1740	1692	37.99%	22.50%	39.51%	+0.0	32
1998-03-27	AB Copenhagen	W 3-0	1637	1691	38.64%	22.50%	38.86%	+18.5	18
1998-03-27	@ Odense	L 0-3	1691	1637	38.86%	22.50%	38.64%	-18.5	30
1998-03-29	Ikast	W 3-1	1696	1531	65.37%	19.06%	15.57%	+4.9	27
1998-03-29	@ Aarhus GF	L 1-3	1531	1696	15.57%	19.06%	65.37%	-4.9	14
1998-03-29	Aarhus Fremad	W 3-1	1734	1568	65.42%	19.05%	15.54%	+4.9	42
1998-03-29	@ FC Copenhagen	L 1-3	1568	1734	15.54%	19.05%	65.42%	-4.8	15
1998-03-29	Brondby	L 1-2	1629	1828	21.43%	20.89%	57.68%	-3.8	20
1998-03-29	@ Herfolge	W 2-1	1828	1629	57.68%	20.89%	21.43%	+3.8	49
1998-03-29	Vejle BK	L 0-2	1652	1692	40.63%	22.49%	36.88%	-13.2	26
1998-03-29	@ Lyngby	W 2-0	1692	1652	36.88%	22.49%	40.63%	+13.2	33
1998-03-29	Aalborg	W 4-0	1723	1740	43.95%	22.39%	33.66%	+21.5	42
1998-03-29	@ Silkeborg	L 0-4	1740	1723	33.66%	22.39%	43.95%	-21.5	32
1998-04-01	Lyngby	L 0-1	1656	1639	48.47%	22.11%	29.42%	-8.1	18
1998-04-01	@ Odense	W 1-0	1639	1656	29.42%	22.11%	48.47%	+8.1	29
1998-04-05	Odense	W 3-2	1831	1648	67.08%	18.54%	14.38%	+2.5	52
1998-04-05	@ Brondby	L 2-3	1648	1831	14.38%	18.54%	67.08%	-2.4	18
1998-04-05	Lyngby	D 1-1	1526	1647	29.67%	22.13%	48.19%	+0.7	15
1998-04-05	@ Ikast	D 1-1	1647	1526	48.19%	22.13%	29.67%	-0.7	30
1998-04-05	Silkeborg	D 1-1	1705	1745	40.62%	22.49%	36.89%	-0.1	34
1998-04-05	@ Vejle BK	D 1-1	1745	1705	36.89%	22.49%	40.62%	+0.1	43
1998-04-09	Herfolge	L 2-3	1718	1625	57.76%	20.87%	21.37%	-8.4	32
1998-04-09	@ Aalborg	W 3-2	1625	1718	21.37%	20.87%	57.76%	+8.4	23
1998-04-09	Odense	W 2-0	1563	1645	34.71%	22.43%	42.86%	+13.7	18
1998-04-09	@ Aarhus Fremad	L 0-2	1645	1563	42.86%	22.43%	34.71%	-13.7	18
1998-04-09	Lyngby	W 2-0	1673	1646	49.71%	22.00%	28.29%	+9.8	33
1998-04-09	@ AB Copenhagen	L 0-2	1646	1673	28.29%	22.00%	49.71%	-9.8	30
1998-04-09	Aarhus GF	D 1-1	1834	1701	62.12%	19.93%	17.95%	-1.7	53
1998-04-09	@ Brondby	D 1-1	1701	1834	17.95%	19.93%	62.12%	+1.7	28
1998-04-09	FC Copenhagen	D 1-1	1745	1739	47.01%	22.22%	30.77%	-0.6	44
1998-04-09	@ Silkeborg	D 1-1	1739	1745	30.77%	22.22%	47.01%	+0.6	43
1998-04-09	Ikast	W 4-0	1705	1526	66.62%	18.68%	14.70%	+10.0	37
1998-04-09	@ Vejle BK	L 0-4	1526	1705	14.70%	18.68%	66.62%	-10.0	15
1998-04-13	Aarhus Fremad	D 1-1	1703	1577	61.33%	20.12%	18.55%	-1.6	29
1998-04-13	@ Aarhus GF	D 1-1	1577	1703	18.55%	20.12%	61.33%	+1.6	19
1998-04-13	Vejle BK	W 4-1	1740	1715	49.45%	22.02%	28.53%	+12.1	46
1998-04-13	@ FC Copenhagen	L 1-4	1715	1740	28.53%	22.02%	49.45%	-12.1	37
1998-04-13	Silkeborg	L 0-4	1634	1745	30.96%	22.24%	46.80%	-20.1	23
1998-04-13	@ Herfolge	W 4-0	1745	1634	46.80%	22.24%	30.96%	+20.1	47
1998-04-13	AB Copenhagen	D 1-1	1516	1683	24.58%	21.50%	53.92%	+1.1	16
1998-04-13	@ Ikast	D 1-1	1683	1516	53.92%	21.50%	24.58%	-1.1	34
1998-04-13	Brondby	L 0-2	1636	1832	21.67%	20.94%	57.39%	-7.8	30
1998-04-13	@ Lyngby	W 2-0	1832	1636	57.39%	20.94%	21.67%	+7.8	56
1998-04-13	Aalborg	L 0-1	1632	1710	35.22%	22.45%	42.33%	-6.2	18
1998-04-13	@ Odense	W 1-0	1710	1632	42.33%	22.45%	35.22%	+6.2	35
1998-04-17	FC Copenhagen	W 1-0	1614	1752	27.69%	21.93%	50.38%	+8.3	26
1998-04-17	@ Herfolge	L 0-1	1752	1614	50.38%	21.93%	27.69%	-8.3	46
1998-04-19	Aarhus GF	L 2-4	1716	1701	48.21%	22.13%	29.66%	-11.7	35
1998-04-19	@ Aalborg	W 4-2	1701	1716	29.66%	22.13%	48.21%	+11.7	32
1998-04-19	Lyngby	L 0-3	1579	1629	39.21%	22.50%	38.29%	-18.6	19
1998-04-19	@ Aarhus Fremad	W 3-0	1629	1579	38.29%	22.50%	39.21%	+18.6	33
1998-04-19	Ikast	W 3-1	1840	1517	78.17%	14.11%	7.72%	+2.3	59
1998-04-19	@ Brondby	L 1-3	1517	1840	7.72%	14.11%	78.17%	-2.3	16
1998-04-19	Odense	D 1-1	1765	1625	62.77%	19.77%	17.46%	-1.7	48
1998-04-19	@ Silkeborg	D 1-1	1625	1765	17.46%	19.77%	62.77%	+1.8	19
1998-04-19	AB Copenhagen	W 1-0	1703	1682	49.02%	22.06%	28.92%	+5.3	40
1998-04-19	@ Vejle BK	L 0-1	1682	1703	28.92%	22.06%	49.02%	-5.3	34
1998-04-23	FC Copenhagen	L 0-1	1704	1743	40.76%	22.49%	36.75%	-7.0	35
1998-04-23	@ Aalborg	W 1-0	1743	1704	36.75%	22.49%	40.76%	+7.0	49
1998-04-24	Brondby	W 3-1	1676	1842	24.62%	21.51%	53.88%	+14.4	37
1998-04-24	@ AB Copenhagen	L 1-3	1842	1676	53.88%	21.51%	24.62%	-14.4	59
1998-04-26	Silkeborg	D 2-2	1713	1763	39.15%	22.50%	38.35%	-0.0	33
1998-04-26	@ Aarhus GF	D 2-2	1763	1713	38.35%	22.50%	39.15%	+0.0	49
1998-04-26	Aarhus Fremad	L 1-2	1515	1560	39.90%	22.50%	37.60%	-6.5	16
1998-04-26	@ Ikast	W 2-1	1560	1515	37.60%	22.50%	39.90%	+6.5	22
1998-04-26	Aalborg	W 2-1	1647	1697	39.17%	22.50%	38.33%	+6.3	36
1998-04-26	@ Lyngby	L 1-2	1697	1647	38.33%	22.50%	39.17%	-6.3	35
1998-04-26	FC Copenhagen	L 1-2	1627	1750	29.43%	22.11%	48.46%	-5.1	19
1998-04-26	@ Odense	W 2-1	1750	1627	48.46%	22.11%	29.43%	+5.1	52
1998-04-26	Herfolge	W 4-2	1708	1622	56.99%	21.01%	22.00%	+6.1	43
1998-04-26	@ Vejle BK	L 2-4	1622	1708	22.00%	21.01%	56.99%	-6.1	26
1998-04-29	Herfolge	D 1-1	1567	1616	39.29%	22.50%	38.21%	-0.0	23
1998-04-29	@ Aarhus Fremad	D 1-1	1616	1567	38.21%	22.50%	39.29%	+0.0	27
1998-04-29	Aarhus GF	D 4-4	1691	1713	43.16%	22.42%	34.41%	-0.2	38
1998-04-29	@ AB Copenhagen	D 4-4	1713	1691	34.41%	22.42%	43.16%	+0.2	34
1998-05-03	Ikast	D 1-1	1691	1509	66.98%	18.57%	14.45%	-2.0	36
1998-05-03	@ Aalborg	D 1-1	1509	1691	14.45%	18.57%	66.98%	+2.0	17
1998-05-03	AB Copenhagen	W 1-0	1567	1690	29.35%	22.10%	48.55%	+8.1	26
1998-05-03	@ Aarhus Fremad	L 0-1	1690	1567	48.55%	22.10%	29.35%	-8.1	38
1998-05-03	Vejle BK	W 5-0	1828	1714	60.05%	20.41%	19.54%	+16.4	62
1998-05-03	@ Brondby	L 0-5	1714	1828	19.54%	20.41%	60.05%	-16.4	43
1998-05-03	Aarhus GF	W 2-1	1755	1713	51.76%	21.78%	26.46%	+4.6	55
1998-05-03	@ FC Copenhagen	L 1-2	1713	1755	26.46%	21.78%	51.76%	-4.6	34
1998-05-03	Odense	W 1-0	1616	1622	45.36%	22.32%	32.32%	+5.8	30
1998-05-03	@ Herfolge	L 0-1	1622	1616	32.32%	22.32%	45.36%	-5.8	19
1998-05-03	Lyngby	W 3-0	1763	1654	59.61%	20.50%	19.89%	+10.4	52
1998-05-03	@ Silkeborg	L 0-3	1654	1763	19.89%	20.50%	59.61%	-10.4	36
1998-05-10	Herfolge	W 2-0	1708	1622	57.01%	21.01%	21.98%	+7.8	37
1998-05-10	@ Aarhus GF	L 0-2	1622	1708	21.98%	21.01%	57.01%	-7.8	30
1998-05-10	Aalborg	W 4-2	1682	1689	45.28%	22.33%	32.39%	+8.5	41
1998-05-10	@ AB Copenhagen	L 2-4	1689	1682	32.39%	22.33%	45.28%	-8.5	36
1998-05-10	Aarhus Fremad	W 7-1	1844	1575	74.35%	15.84%	9.81%	+7.9	65
1998-05-10	@ Brondby	L 1-7	1575	1844	9.81%	15.84%	74.35%	-7.8	26
1998-05-10	Silkeborg	W 2-1	1511	1773	16.20%	19.31%	64.50%	+9.8	20
1998-05-10	@ Ikast	L 1-2	1773	1511	64.50%	19.31%	16.20%	-9.8	52
1998-05-10	FC Copenhagen	W 2-1	1643	1760	30.19%	22.18%	47.63%	+7.5	39
1998-05-10	@ Lyngby	L 1-2	1760	1643	47.63%	22.18%	30.19%	-7.5	55
1998-05-10	Odense	W 3-0	1698	1616	56.46%	21.10%	22.43%	+11.6	46
1998-05-10	@ Vejle BK	L 0-3	1616	1698	22.43%	21.10%	56.46%	-11.6	19
1998-05-14	Brondby	L 0-1	1681	1852	24.04%	21.41%	54.55%	-4.5	36
1998-05-14	@ Aalborg	W 1-0	1852	1681	54.55%	21.41%	24.04%	+4.5	68
1998-05-14	Vejle BK	W 4-0	1567	1709	27.16%	21.87%	50.97%	+30.1	29
1998-05-14	@ Aarhus Fremad	L 0-4	1709	1567	50.97%	21.87%	27.16%	-30.1	46
1998-05-14	Ikast	W 3-1	1753	1521	71.36%	17.05%	11.60%	+3.6	58
1998-05-14	@ FC Copenhagen	L 1-3	1521	1753	11.60%	17.05%	71.36%	-3.6	20
1998-05-14	Lyngby	W 2-1	1614	1651	41.10%	22.48%	36.42%	+6.0	33
1998-05-14	@ Herfolge	L 1-2	1651	1614	36.42%	22.48%	41.10%	-6.0	39
1998-05-14	Aarhus GF	L 1-2	1605	1716	30.88%	22.23%	46.89%	-5.3	19
1998-05-14	@ Odense	W 2-1	1716	1605	46.89%	22.23%	30.88%	+5.3	40
1998-05-14	AB Copenhagen	W 1-0	1764	1691	55.42%	21.28%	23.31%	+4.4	55
1998-05-14	@ Silkeborg	L 0-1	1691	1764	23.31%	21.28%	55.42%	-4.4	41
1998-05-17	Aalborg	D 1-1	1597	1676	35.11%	22.45%	42.44%	+0.3	30
1998-05-17	@ Aarhus Fremad	D 1-1	1676	1597	42.44%	22.45%	35.11%	-0.3	37
1998-05-17	FC Copenhagen	W 2-1	1687	1756	36.41%	22.48%	41.11%	+6.6	44
1998-05-17	@ AB Copenhagen	L 1-2	1756	1687	41.11%	22.48%	36.41%	-6.6	58
1998-05-17	Silkeborg	D 0-0	1856	1768	57.27%	20.96%	21.76%	-1.5	69
1998-05-17	@ Brondby	D 0-0	1768	1856	21.76%	20.96%	57.27%	+1.5	56
1998-05-17	Herfolge	W 4-3	1517	1620	31.93%	22.30%	45.77%	+6.7	23
1998-05-17	@ Ikast	L 3-4	1620	1517	45.77%	22.30%	31.93%	-6.7	33
1998-05-17	Odense	W 4-0	1645	1599	52.08%	21.74%	26.18%	+17.4	42
1998-05-17	@ Lyngby	L 0-4	1599	1645	26.18%	21.74%	52.08%	-17.4	19
1998-05-17	Aarhus GF	W 1-0	1679	1721	40.34%	22.49%	37.17%	+6.5	49
1998-05-17	@ Vejle BK	L 0-1	1721	1679	37.17%	22.49%	40.34%	-6.5	40
1998-05-24	Vejle BK	W 1-0	1676	1686	44.81%	22.35%	32.84%	+5.9	40
1998-05-24	@ Aalborg	L 0-1	1686	1676	32.84%	22.35%	44.81%	-5.9	49
1998-05-24	Lyngby	L 0-1	1715	1662	53.02%	21.62%	25.36%	-8.7	40
1998-05-24	@ Aarhus GF	W 1-0	1662	1715	25.36%	21.62%	53.02%	+8.7	45
1998-05-24	Brondby	L 1-4	1749	1855	31.62%	22.28%	46.10%	-13.2	58
1998-05-24	@ FC Copenhagen	W 4-1	1855	1749	46.10%	22.28%	31.62%	+13.2	72
1998-05-24	AB Copenhagen	L 0-3	1613	1693	35.00%	22.44%	42.56%	-17.0	33
1998-05-24	@ Herfolge	W 3-0	1693	1613	42.56%	22.44%	35.00%	+17.0	47
1998-05-24	Ikast	W 5-0	1582	1524	53.69%	21.53%	24.77%	+20.5	22
1998-05-24	@ Odense	L 0-5	1524	1582	24.77%	21.53%	53.69%	-20.5	23
1998-05-24	Aarhus Fremad	W 3-1	1769	1597	66.02%	18.87%	15.11%	+4.7	59
1998-05-24	@ Silkeborg	L 1-3	1597	1769	15.11%	18.87%	66.02%	-4.7	30
1998-05-27	Silkeborg	D 0-0	1682	1774	33.30%	22.38%	44.32%	+0.4	41
1998-05-27	@ Aalborg	D 0-0	1774	1682	44.32%	22.38%	33.30%	-0.4	60
1998-05-27	FC Copenhagen	L 2-6	1593	1736	27.02%	21.85%	51.12%	-12.7	30
1998-05-27	@ Aarhus Fremad	W 6-2	1736	1593	51.12%	21.85%	27.02%	+12.7	61
1998-05-27	Odense	L 1-3	1710	1602	59.43%	20.54%	20.03%	-15.7	47
1998-05-27	@ AB Copenhagen	W 3-1	1602	1710	20.03%	20.54%	59.43%	+15.7	25
1998-05-27	Herfolge	D 0-0	1868	1596	74.53%	15.76%	9.70%	-2.9	73
1998-05-27	@ Brondby	D 0-0	1596	1868	9.70%	15.76%	74.53%	+2.9	34
1998-05-27	Aarhus GF	W 3-1	1503	1706	21.01%	20.79%	58.20%	+15.4	26
1998-05-27	@ Ikast	L 1-3	1706	1503	58.20%	20.79%	21.01%	-15.4	40
1998-05-27	Lyngby	W 3-0	1680	1671	47.42%	22.19%	30.39%	+15.1	52
1998-05-27	@ Vejle BK	L 0-3	1671	1680	30.39%	22.19%	47.42%	-15.2	45
1998-06-01	AB Copenhagen	W 3-2	1691	1694	45.66%	22.31%	32.03%	+5.2	43
1998-06-01	@ Aarhus GF	L 2-3	1694	1691	32.03%	22.31%	45.66%	-5.2	47
1998-06-01	Aalborg	L 0-4	1749	1682	54.73%	21.38%	23.88%	-32.0	61
1998-06-01	@ FC Copenhagen	W 4-0	1682	1749	23.88%	21.38%	54.73%	+32.0	44
1998-06-01	Aarhus Fremad	L 0-2	1599	1580	48.76%	22.08%	29.16%	-15.3	34
1998-06-01	@ Herfolge	W 2-0	1580	1599	29.16%	22.08%	48.76%	+15.3	33
1998-06-01	Ikast	L 3-4	1656	1519	62.53%	19.83%	17.64%	-8.8	45
1998-06-01	@ Lyngby	W 4-3	1519	1656	17.64%	19.83%	62.53%	+8.8	29
1998-06-01	Brondby	L 0-1	1618	1865	17.32%	19.72%	62.96%	-3.3	25
1998-06-01	@ Odense	W 1-0	1865	1618	62.96%	19.72%	17.32%	+3.3	76
1998-06-01	Vejle BK	W 2-1	1774	1695	56.13%	21.16%	22.71%	+4.0	63
1998-06-01	@ Silkeborg	L 1-2	1695	1774	22.71%	21.16%	56.13%	-4.0	52

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	1998-05-10	16.20%	@ Ikast	1511	2	Silkeborg	1773	1
2	1997-11-02	16.40%	Odense	1596	2	@ FC Copenhagen	1749	0
3	1997-10-19	17.08%	Ikast	1569	2	@ AB Copenhagen	1713	1
4	1998-06-01	17.64%	Ikast	1519	4	@ Lyngby	1656	3
5	1998-05-27	20.03%	Odense	1602	3	@ AB Copenhagen	1710	1
6	1998-05-27	21.01%	@ Ikast	1503	3	Aarhus GF	1706	1
7	1998-04-09	21.37%	Herfolge	1625	3	@ Aalborg	1718	2
8	1997-10-26	22.19%	Aarhus Fremad	1572	2	@ Lyngby	1656	0
9	1997-08-24	22.97%	Ikast	1581	2	@ Odense	1657	1
10	1998-06-01	23.88%	Aalborg	1682	4	@ FC Copenhagen	1749	0
11	1998-04-24	24.62%	@ AB Copenhagen	1676	3	Brondby	1842	1
12	1997-08-15	24.77%	FC Copenhagen	1686	3	@ Aarhus GF	1745	1
13	1997-08-31	25.32%	Silkeborg	1715	2	@ Brondby	1768	1
14	1997-10-14	25.32%	Aarhus Fremad	1564	3	@ Odense	1617	1
15	1998-05-24	25.36%	Lyngby	1662	1	@ Aarhus GF	1715	0
16	1997-10-31	26.06%	Aarhus GF	1703	2	@ Silkeborg	1749	0
17	1997-10-05	26.38%	AB Copenhagen	1694	4	@ Vejle BK	1737	1
18	1998-05-14	27.16%	@ Aarhus Fremad	1567	4	Vejle BK	1709	0
19	1997-09-21	27.53%	Vejle BK	1718	2	@ Brondby	1751	1
20	1998-04-17	27.69%	@ Herfolge	1614	1	FC Copenhagen	1752	0
21	1997-07-27	28.14%	@ Aarhus Fremad	1598	2	Aarhus GF	1732	1
22	1997-08-31	28.72%	Aalborg	1696	1	@ Aarhus GF	1719	0
23	1997-08-03	28.87%	Herfolge	1669	3	@ Aalborg	1691	2
24	1998-06-01	29.16%	Aarhus Fremad	1580	2	@ Herfolge	1599	0
25	1998-05-03	29.35%	@ Aarhus Fremad	1567	1	AB Copenhagen	1690	0

Biggest Elo Changes

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

#	Date	Elo Δ	Winning Team				Losing Team				Tie %
#	Date	Elo Δ	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	1998-06-01	32.05	Aalborg	4	1682	23.88%	@ FC Copenhagen	0	1749	54.73%	21.38%
2	1998-05-14	30.12	@ Aarhus Fremad	4	1567	27.16%	Vejle BK	0	1709	50.97%	21.87%
3	1997-07-27	28.11	Brondby	7	1735	40.37%	@ Lyngby	1	1671	37.14%	22.49%
4	1997-07-27	24.97	AB Copenhagen	4	1651	36.89%	@ Ikast	0	1611	40.62%	22.49%
5	1997-09-14	23.65	FC Copenhagen	4	1724	39.60%	@ Lyngby	0	1665	37.90%	22.50%
6	1998-03-29	21.52	@ Silkeborg	4	1723	43.95%	Aalborg	0	1740	33.66%	22.39%
7	1997-11-02	21.23	@ Aalborg	5	1687	52.48%	Lyngby	0	1639	25.83%	21.69%
8	1997-11-16	20.91	@ Aalborg	6	1718	46.04%	AB Copenhagen	1	1719	31.68%	22.28%
9	1998-05-24	20.46	@ Odense	5	1582	53.69%	Ikast	0	1524	24.77%	21.53%
10	1998-04-13	20.10	Silkeborg	4	1745	46.80%	@ Herfolge	0	1634	30.96%	22.24%
11	1998-03-22	20.06	@ Lyngby	3	1632	34.42%	Aarhus GF	0	1716	43.16%	22.42%
12	1997-10-05	19.73	AB Copenhagen	4	1694	26.38%	@ Vejle BK	1	1737	51.85%	21.77%
13	1997-11-02	19.44	Odense	2	1596	16.40%	@ FC Copenhagen	0	1749	64.21%	19.39%
14	1998-04-19	18.58	Lyngby	3	1629	38.29%	@ Aarhus Fremad	0	1579	39.21%	22.50%
15	1997-09-07	18.57	@ Aalborg	3	1704	38.33%	Brondby	0	1760	39.17%	22.50%
16	1998-03-27	18.46	@ Odense	3	1637	38.64%	AB Copenhagen	0	1691	38.86%	22.50%
17	1997-10-14	18.32	Brondby	3	1757	39.02%	@ Aarhus GF	0	1702	38.48%	22.50%
18	1997-11-09	18.26	@ Lyngby	4	1618	30.44%	Silkeborg	1	1733	47.37%	22.20%
19	1997-08-24	17.48	@ Aalborg	3	1678	41.27%	Vejle BK	0	1714	36.25%	22.48%
20	1997-10-26	17.44	Aarhus Fremad	2	1572	22.19%	@ Lyngby	0	1656	56.75%	21.05%
21	1998-05-17	17.43	@ Lyngby	4	1645	52.08%	Odense	0	1599	26.18%	21.74%
22	1998-05-24	17.00	AB Copenhagen	3	1693	42.56%	@ Herfolge	0	1613	35.00%	22.44%
23	1997-08-24	16.92	@ FC Copenhagen	4	1701	34.42%	Brondby	1	1785	43.16%	22.42%
24	1998-05-03	16.44	@ Brondby	5	1828	60.05%	Vejle BK	0	1714	19.54%	20.41%
25	1997-10-31	16.21	Aarhus GF	2	1703	26.06%	@ Silkeborg	0	1749	52.21%	21.73%