2001-02 Superliga Season

198 games

Final

Champion

Brondby

69 points · 9th Title

Last Title: 1997-98

Relegated

Lyngby

15 pts

Vejle BK · 28 pts

Biggest Overachiever

Midtjylland

8.14 points above expected

57 points · 48.86 expected points

Biggest Disappointment

Lyngby

11.63 points below expected

15 points · 26.63 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	20	9	4	69	74	28	+46	65.91	+3.09
2	FC Copenhagen	33	20	9	4	69	62	25	+37	60.95	+8.05
3	Midtjylland	33	16	9	8	57	47	27	+20	48.86	+8.14
4	Aalborg	33	16	6	11	54	52	45	+7	49.07	+4.93
5	AB Copenhagen	33	13	11	9	50	48	38	+10	52.12	-2.12
6	Odense	33	13	10	10	49	56	51	+5	43.73	+5.27
7	Esbjerg	33	13	6	14	45	42	44	-2	38.98	+6.02
8	Viborg	33	10	11	12	41	46	45	+1	45.11	-4.11
9	Silkeborg	33	8	8	17	32	41	50	-9	41.67	-9.67
10	Aarhus GF	33	7	10	16	31	42	56	-14	37.17	-6.17
11	Vejle BK Relegated	33	6	10	17	28	38	72	-34	31.08	-3.08
12	Lyngby Relegated	33	2	9	22	15	25	92	-67	26.63	-11.63

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

Top Overachievers & Disappointments

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

Biggest Overachievers

#	Team	Actual	Sim	vsSim
1	Midtjylland	57	48.86	+8.14
2	FC Copenhagen	69	60.95	+8.05
3	Esbjerg	45	38.98	+6.02
4	Odense	49	43.73	+5.27
5	Aalborg	54	49.07	+4.93

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Lyngby	15	26.63	-11.63
2	Silkeborg	32	41.67	-9.67
3	Aarhus GF	31	37.17	-6.17
4	Viborg	41	45.11	-4.11
5	Vejle BK	28	31.08	-3.08

Top Streaks

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

Most Unlikely Winning Streaks

#	Team	Games	Dates	Probability
1	Midtjylland	7	Apr 14 – May 16	1 in 481
2	Silkeborg	4	Nov 18 – Dec 9	1 in 383
3	Esbjerg	4	Sep 9 – Sep 24	1 in 326
4	Aalborg	4	Mar 4 – Mar 24	1 in 73
5	Odense	3	Mar 3 – Mar 17	1 in 34

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Lyngby	12	Dec 9 – May 1	1 in 191
2	AB Copenhagen	4	Dec 9 – Mar 17	1 in 140
3	Silkeborg	6	Aug 12 – Sep 23	1 in 131
4	FC Copenhagen	2	Aug 12 – Aug 17	1 in 33
5	Odense	3	May 5 – May 16	1 in 16

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Odense	10	Oct 21 – Mar 17	1 in 167
2	AB Copenhagen	14	Aug 17 – Dec 2	1 in 48
3	Vejle BK	4	Mar 24 – Apr 10	1 in 48
4	Lyngby	6	Jul 22 – Aug 26	1 in 25
5	Silkeborg	4	Nov 18 – Dec 9	1 in 15

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Lyngby	29	Aug 19 – May 16	1 in 456
2	Silkeborg	15	Jul 22 – Nov 4	1 in 175
3	AB Copenhagen	7	Nov 25 – Mar 24	1 in 36
4	Brondby	3	Apr 7 – Apr 14	1 in 30
5	Viborg	7	Sep 16 – Nov 4	1 in 29

Position Race

Each team’s league position across the whole season. Colored teams are the season’s headline finishers — champion, promoted, and relegated; everyone else is gray as context.

Recent Form

Each team’s last 5 games, hottest first. Form shows the results (navy win, gray draw, red loss, newest on the right); the bars show Elo change over the window, points taken, points expected from the odds, and actual minus expected. Beside each team: current Elo and season points.

Team	Elo	Season Pts	Elo Δ (5)	Points (5)	Expected (5)	Actual − Exp
FC Copenhagen	1861	69	+22	13	10.4	+2.6
Brondby	1865	69	+49	11	10.0	+1.0
Midtjylland	1741	57	+65	15	8.2	+6.8
Aalborg	1629	54	-6	6	5.6	+0.4
AB Copenhagen	1656	50	-51	6	6.7	-0.7
Odense	1635	49	-2	4	7.4	-3.4
Esbjerg	1550	45	-44	4	7.1	-3.1
Viborg	1602	41	-21	4	5.7	-1.7
Silkeborg	1557	32	-54	7	8.6	-1.6
Aarhus GF	1566	31	+32	9	5.6	+3.4
Vejle BK	1451	28	+27	5	4.6	+0.4
Lyngby	1250	15	-17	1	2.4	-1.4

Head-to-Head

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

Beat expectations Fell short Within expectations

Team	AC	AAL	AG	BRO	ESB	FC	LYN	MID	ODE	SIL	VB	VIB
AB Copenhagen	—	2-0-1 4.46	1-2-0 5.73	0-0-3 2.83	2-1-0 5.17	1-2-0 3.29	3-0-0 6.16	0-1-2 4.33	1-2-0 5.01	1-2-0 4.86	2-1-0 5.82	0-0-3 4.99
Aalborg	1-0-2 3.68	—	1-1-1 5.20	0-1-2 2.59	2-1-0 4.86	0-1-2 2.96	3-0-0 5.85	2-0-1 3.75	2-1-0 3.93	1-0-2 5.28	1-1-1 5.40	3-0-0 4.22
Aarhus GF	0-2-1 2.46	1-1-1 2.97	—	0-1-2 2.16	0-0-3 3.97	0-1-2 2.05	2-1-0 5.08	0-0-3 3.24	0-0-3 3.55	1-1-1 3.86	2-1-0 4.51	1-2-0 3.33
Brondby	3-0-0 5.33	2-1-0 5.59	2-1-0 6.09	—	3-0-0 6.45	2-1-0 4.91	1-1-1 7.08	1-1-1 5.94	2-0-1 6.00	2-0-1 6.39	2-1-0 7.03	0-3-0 6.41
Esbjerg	0-1-2 2.98	0-1-2 3.30	3-0-0 4.16	0-0-3 1.83	—	1-0-2 2.12	2-0-1 5.50	1-1-1 2.72	2-0-1 3.70	1-2-0 4.39	0-1-2 5.09	3-0-0 3.55
FC Copenhagen	0-2-1 4.86	2-1-0 5.22	2-1-0 6.21	0-1-2 3.25	2-0-1 6.11	—	3-0-0 6.50	1-2-0 5.43	1-2-0 5.69	3-0-0 5.88	3-0-0 6.61	3-0-0 5.59
Lyngby	0-0-3 2.12	0-0-3 2.37	0-1-2 3.10	1-1-1 1.36	1-0-2 2.75	0-0-3 1.84	—	0-1-2 2.74	0-1-2 3.14	0-1-2 2.16	0-2-1 3.21	0-2-1 2.88
Midtjylland	2-1-0 3.80	1-0-2 4.39	3-0-0 4.91	1-1-1 2.27	1-1-1 5.45	0-2-1 2.74	2-1-0 5.51	—	1-0-2 4.58	3-0-0 4.91	1-2-0 5.61	1-1-1 4.91
Odense	0-2-1 3.14	0-1-2 4.20	3-0-0 4.60	1-0-2 2.22	1-0-2 4.43	0-2-1 2.50	2-1-0 5.08	2-0-1 3.55	—	2-1-0 4.17	2-1-0 5.46	0-2-1 4.24
Silkeborg	0-2-1 3.32	2-0-1 2.88	1-1-1 4.28	1-0-2 1.89	0-2-1 3.74	0-0-3 2.34	2-1-0 6.11	0-0-3 3.23	0-1-2 3.97	—	2-0-1 5.25	0-1-2 3.49
Vejle BK	0-1-2 2.39	1-1-1 2.78	0-1-2 3.63	0-1-2 1.35	2-1-0 3.11	0-0-3 1.72	1-2-0 4.95	0-2-1 2.59	0-1-2 2.74	1-0-2 2.92	—	1-0-2 3.06
Viborg	3-0-0 3.16	0-0-3 3.92	0-2-1 4.81	0-3-0 1.86	0-0-3 4.59	0-0-3 2.59	1-2-0 5.32	1-1-1 3.24	1-2-0 3.90	2-1-0 4.66	2-0-1 5.10	—

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	0.83	+12.1
Allowed	0.84	-7.8
Differential	0.93	+5.3

Scoreline Distribution

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

View:

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	7.58%	7.32%	6.31%	1.77%	2.53%	2.53%	28.03%
1	7.32%	11.62%	7.32%	2.78%	1.52%	1.01%	31.57%
2	6.31%	7.32%	8.08%	1.26%	0.51%	0.51%	23.99%
3	1.77%	2.78%	1.26%	—	1.01%	—	6.82%
4	2.53%	1.52%	0.51%	1.01%	—	—	5.56%
5+	2.53%	1.01%	0.51%	—	—	—	4.04%
Total	28.03%	31.57%	23.99%	6.82%	5.56%	4.04%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.45	1.45	+0.00
SD	1.40	1.40	2.17
CV	0.97	0.97	—
Max	7	7	+7
Min	0	0	-7

Games Played: 198

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	3.03%	3.03%	—	—	3.03%	18.18%
1	12.12%	12.12%	15.15%	3.03%	—	—	42.42%
2	9.09%	3.03%	12.12%	—	—	—	24.24%
3	3.03%	3.03%	—	—	—	—	6.06%
4	6.06%	—	—	3.03%	—	—	9.09%
5+	—	—	—	—	—	—	—
Total	39.39%	21.21%	30.30%	6.06%	—	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.45	1.15	+0.30
SD	1.15	1.20	1.76
CV	0.79	1.04	—
Max	4	5	+4
Min	0	0	-5

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.58	1.36	+0.21
SD	1.44	1.19	2.03
CV	0.91	0.88	—
Max	7	4	+7
Min	0	0	-3

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.27	1.70	-0.42
SD	1.64	1.65	2.53
CV	1.29	0.97	—
Max	7	6	+7
Min	0	0	-5

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	6.06%	—	—	—	—	12.12%
1	6.06%	12.12%	3.03%	—	—	—	21.21%
2	12.12%	15.15%	9.09%	—	—	—	36.36%
3	—	9.09%	—	—	3.03%	—	12.12%
4	3.03%	3.03%	—	—	—	—	6.06%
5+	9.09%	3.03%	—	—	—	—	12.12%
Total	36.36%	48.48%	12.12%	—	3.03%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.24	0.85	+1.39
SD	1.70	0.87	1.97
CV	0.76	1.03	—
Max	7	4	+7
Min	0	0	-1

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	9.09%	15.15%	—	—	6.06%	39.39%
1	6.06%	9.09%	9.09%	3.03%	—	—	27.27%
2	18.18%	3.03%	—	—	—	—	21.21%
3	—	—	—	—	—	—	—
4	—	3.03%	—	3.03%	—	—	6.06%
5+	3.03%	3.03%	—	—	—	—	6.06%
Total	36.36%	27.27%	24.24%	6.06%	—	6.06%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.27	1.33	-0.06
SD	1.55	1.63	2.51
CV	1.22	1.22	—
Max	6	7	+5
Min	0	0	-7

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	3.03%	6.06%	—	—	—	18.18%
1	9.09%	15.15%	3.03%	—	—	—	27.27%
2	6.06%	15.15%	3.03%	—	—	—	24.24%
3	9.09%	6.06%	—	—	—	—	15.15%
4	3.03%	6.06%	3.03%	—	—	—	12.12%
5+	3.03%	—	—	—	—	—	3.03%
Total	39.39%	45.45%	15.15%	—	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.88	0.76	+1.12
SD	1.47	0.71	1.71
CV	0.78	0.94	—
Max	6	2	+6
Min	0	0	-2

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	9.09%	6.06%	6.06%	12.12%	12.12%	51.52%
1	3.03%	6.06%	3.03%	3.03%	3.03%	3.03%	21.21%
2	3.03%	—	15.15%	3.03%	—	6.06%	27.27%
3	—	—	—	—	—	—	—
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	12.12%	15.15%	24.24%	12.12%	15.15%	21.21%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.76	2.79	-2.03
SD	0.87	1.93	2.23
CV	1.14	0.69	—
Max	2	7	+2
Min	0	0	-7

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	9.09%	3.03%	—	—	—	21.21%
1	18.18%	15.15%	9.09%	3.03%	—	—	45.45%
2	9.09%	3.03%	3.03%	—	—	—	15.15%
3	—	3.03%	6.06%	—	—	—	9.09%
4	6.06%	—	—	—	—	—	6.06%
5+	3.03%	—	—	—	—	—	3.03%
Total	45.45%	30.30%	21.21%	3.03%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.42	0.82	+0.61
SD	1.28	0.88	1.62
CV	0.90	1.08	—
Max	5	3	+5
Min	0	0	-2

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.70	1.55	+0.15
SD	1.42	1.09	1.94
CV	0.84	0.71	—
Max	5	4	+5
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%	6.06%	—	33.33%
1	9.09%	12.12%	12.12%	3.03%	—	—	36.36%
2	6.06%	—	6.06%	6.06%	—	—	18.18%
3	—	—	—	—	3.03%	—	3.03%
4	3.03%	—	—	—	—	—	3.03%
5+	3.03%	—	3.03%	—	—	—	6.06%
Total	27.27%	24.24%	27.27%	12.12%	9.09%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.24	1.52	-0.27
SD	1.37	1.28	1.96
CV	1.10	0.84	—
Max	5	4	+5
Min	0	0	-4

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.15	2.18	-1.03
SD	1.18	1.63	2.23
CV	1.02	0.75	—
Max	5	6	+3
Min	0	0	-5

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.39	1.36	+0.03
SD	1.20	0.93	1.33
CV	0.86	0.68	—
Max	5	4	+4
Min	0	0	-2

Games Played: 33

Season Summary

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

Team	Elo	Points	Avg	Luck	Percentile	Min	5th	Q1	Median	Q3	95th	Max
Brondby	1865	69	65.91	+3.09	71.0%	53	55	62	67	70	75	80
FC Copenhagen	1861	69	60.95	+8.05	89.0%	42	48	56	62	66	74	81
Midtjylland	1741	57	48.86	+8.14	89.0%	33	35	44	49	54	60	67
AB Copenhagen	1656	50	52.12	-2.12	41.0%	34	41	47	52	57	64	68
Odense	1635	49	43.73	+5.27	77.0%	28	30	39	44	49	56	60
Aalborg	1629	54	49.07	+4.93	76.0%	36	38	43	48	54	60	70
Viborg	1602	41	45.11	-4.11	31.0%	28	34	41	45	50	54	67
Aarhus GF	1566	31	37.17	-6.17	19.0%	19	25	32	37	42	47	50
Silkeborg	1557	32	41.67	-9.67	7.0%	29	31	37	41	46	53	58
Esbjerg	1550	45	38.98	+6.02	89.0%	24	29	35	39	43	48	59
Vejle BK	1451	28	31.08	-3.08	34.0%	15	19	27	32	36	39	47
Lyngby	1250	15	26.63	-11.63	5.0%	13	15	23	26	31	37	43

Point Totals in Context

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

Home-Field Advantage Edge

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

Season Trends

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

Edges & Scoring

How these are measured

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

Home Edge: Share of matches won by the home team minus the share won by the away team.
No Edge: under 8.5% * Slight Edge: 8.5% to 12.5% * Clear Edge: 12.5% to 17.5% * Strong Edge: 17.5% and up.
Elo Value: Number of Elo rating points one goal is worth. A team this many Elo points better than another is expected to win by one goal on a neutral field.
Scoring Tilt: Average home goals minus average away goals per match. The gold line is the home goals edge implied by the scoring value of an Elo point and the home-field Elo bonus.
Road-Tilted: under -0.2 * Neutral: -0.2 to 0.5 * Home-Tilted: 0.5 to 1.2 * Strong Home: 1.2 and up.

Home Edge

HomeDrawAway

+4.04%

No Edge

38.38%27.27%34.34%

Elo Value

Home Edge: 14.05 Elo pts.

160 Elo

0.006 goals per Elo point

0400

Scoring Tilt

Expected

+0.23 goals

Neutral

-2+0.09+2

Title Race

How these are measured

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

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

Title-Race Openness

2.0

One-Team Race

134610

Champion Preseason Odds

63%

Brondby, 1st of 12

LongshotFavorite

Title Margin

Expected

0.00/gm

Photo Finish

00.210.5/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 5.43 * Some Luck: 5.43 to 8.15 * Lucky: 8.15 to 10.86 * Wild Swing: 10.86 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 1.13 * Close: 1.13 to 1.7 * Off: 1.7 to 2.27 * Way Off: 2.27 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 0.55 * A Surprise: 0.55 to 0.88 * Several Surprises: 0.88 to 1.21 * Many Surprises: 1.21 and up.

Luck Spread

Expected

6.62 points

Some Luck

06.7917

Average Finish Error

Expected

0.83

Pinpoint

01.423

Biggest Overachiever

Expected 95.83%

89.00%

FC Copenhagen

50100

Biggest Underachiever

Expected 4.17%

5.00%

Lyngby

050

Season Outliers

Expected

0 of 12

Minimal Outliers

01.26

Unexpected Relegations

Expected

0 of 2

As Expected

00.62

Parity

How these are measured

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

Gini Index: How evenly points were spread across the league. Lower means a tight, balanced table; higher means a few teams ran off with most of the points.
Balanced: under 0.12 * Even: 0.12 to 0.15 * Top-Heavy: 0.15 to 0.17 * Lopsided: 0.17 and up.
Noll-Scully: Take a league where every match is a coin flip and nobody is better than anybody. You would still get a table, with a leader and a bottom club, purely by luck, and you can work out how far apart that table would be. This is the real table measured against it. At 1.00 the season was no more spread out than pure chance; at 2.00 it was twice as spread out, which takes genuine differences in quality. Dividing by the luck figure is what makes seasons of different lengths comparable, because a short season spreads a table by luck alone far more than a long one does. Elo SD in the corner is the same question in rating points: how far apart the teams finished on the ratings.
Coin-Flip Parity: under 1.35 * Moderate Separation: 1.35 to 1.6 * Strong Separation: 1.6 to 1.9 * Wide Separation: 1.9 and up.
Interquartile Edge: Chance the team at the 75th percentile of Elo would beat the team at the 25th percentile on a neutral field. Higher means a bigger gap between the upper and lower half of the table.
Even: under 59% * Slight Edge: 59% to 64.5% * Clear Edge: 64.5% to 69% * Wide Edge: 69% and up.
Best vs. Worst: Chance the top-rated team would beat the bottom-rated team on a neutral field. The gold line is how large that gap tends to be in a league of this size; a dot to the right flags an unusually dominant or unusually weak team.
Even: under 79% * Clear Edge: 79% to 85% * Strong Edge: 85% to 88.5% * Dominant: 88.5% and up.
Close Games: Share of matches decided by 1 goal or fewer, draws included. The gold line is how many close games the matchups and the scoring value of an Elo point predict.
Few: under 54.5% * Some Drama: 54.5% to 58% * Frequent: 58% to 61.5% * Very Frequent: 61.5% and up.
Blowouts: Share of matches decided by 3 goals or more. The gold line is how many routs the matchups and the scoring model predict.
Rare: under 15.5% * Occasional: 15.5% to 19% * Frequent: 19% to 23% * Very Frequent: 23% and up.

Gini Index

0.20

Lopsided

00.120.5

Noll-Scully

Elo SD: 168.24

2.21

Wide Separation

0.651.351.61.92.5

Interquartile Edge

67%

Clear Edge

50%59%69%100%

Best vs. Worst

Baseline 97%

97%

Dominant

50%100%

Close Games

Expected

61%

Frequent

0%51%100%

Blowouts

Expected

20%

Frequent

0%25%100%

Predictability

How these are measured

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

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

Brier Score

Expected

0.59

Predictable

00.602

Matchup Imbalance

0.38

Lopsided

00.280.370.5

Strangeness

Expected

0.97

As Expected

01.002

Repeatability

0.55

Strong Carryover

00.30.50.631

Upset Rate

Expected

19%

Chalky

0%23%50%

Clear Favorite Upset Rate

Expected

17%

Solid Favorites

0%18%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 0.13 * Near Noise Ceiling: 0.13 to 0.19 * Above Noise: 0.19 to 0.25 * Well Above Noise: 0.25 and up.

Probability calibration

0.51

Excellent

0.010.050.10.51

Calibration slope

Ideal

1.09

Calibrated

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.080

Well Within Noise

00.1270.3

Final Table Odds

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

Team	1	2	3	4	5	6	7	8	9	10	11	12
Brondby	63.00%	26.00%	6.00%	5.00%	—	—	—	—	—	—	—	—
FC Copenhagen	31.00%	41.00%	12.00%	6.00%	3.00%	4.00%	2.00%	1.00%	—	—	—	—
Midtjylland	1.00%	2.00%	24.00%	16.00%	22.00%	12.00%	8.00%	4.00%	5.00%	5.00%	1.00%	—
Aalborg	3.00%	7.00%	17.00%	15.00%	18.00%	15.00%	9.00%	12.00%	4.00%	—	—	—
AB Copenhagen	1.00%	14.00%	28.00%	18.00%	17.00%	7.00%	6.00%	5.00%	3.00%	—	1.00%	—
Odense	—	5.00%	6.00%	11.00%	10.00%	13.00%	14.00%	15.00%	10.00%	10.00%	3.00%	3.00%
Esbjerg	1.00%	—	—	2.00%	5.00%	8.00%	13.00%	21.00%	22.00%	13.00%	10.00%	5.00%
Viborg	—	4.00%	2.00%	21.00%	13.00%	17.00%	14.00%	11.00%	9.00%	6.00%	3.00%	—
Silkeborg	—	1.00%	5.00%	5.00%	8.00%	14.00%	15.00%	15.00%	18.00%	14.00%	5.00%	—
Aarhus GF	—	—	—	1.00%	3.00%	9.00%	16.00%	10.00%	18.00%	19.00%	16.00%	8.00%
Vejle BK	—	—	—	—	1.00%	1.00%	2.00%	4.00%	7.00%	24.00%	36.00%	25.00%
Lyngby	—	—	—	—	—	—	1.00%	2.00%	4.00%	9.00%	25.00%	59.00%

Points Required Per Position

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

Next-Season Status

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

Team	Same level	Direct relegation
Aalborg	100%	—
Brondby	100%	—
FC Copenhagen	100%	—
AB Copenhagen	99.00%	1.00%
Midtjylland	99.00%	1.00%
Viborg	97.00%	3.00%
Silkeborg	95.00%	5.00%
Odense	94.00%	6.00%
Esbjerg	85.00%	15.00%
Aarhus GF	76.00%	24.00%
Vejle BK	39.00%	61.00%
Lyngby	16.00%	84.00%

Filter by Team:

Overall Game Log

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

Date	Opponent	Score	Excitement	Pre Elo	Opp Elo	Win %	Tie %	Loss %	Proj. Margin	Elo Δ	Points
2001-07-21	Viborg	W 2-1	61.6	1702	1617	48.66%	28.07%	23.27%	+0.61	+8.6	3
2001-07-21	@ FC Copenhagen	L 1-2	61.6	1617	1702	23.27%	28.07%	48.66%	-0.61	-8.6	0
2001-07-22	Aarhus GF	W 5-0	52.6	1682	1622	45.65%	28.44%	25.92%	+0.46	+44.0	3
2001-07-22	@ Brondby	L 0-5	52.6	1622	1682	25.92%	28.44%	45.65%	-0.46	-44.0	0
2001-07-22	AB Copenhagen	D 1-1	68.8	1658	1631	41.22%	28.78%	29.99%	+0.25	-0.8	1
2001-07-22	@ Silkeborg	D 1-1	68.8	1631	1658	29.99%	28.78%	41.22%	-0.25	+0.8	1
2001-07-22	Lyngby	D 2-2	70.8	1575	1553	40.57%	28.81%	30.62%	+0.22	-0.5	1
2001-07-22	@ Vejle BK	D 2-2	70.8	1553	1575	30.62%	28.81%	40.57%	-0.22	+0.5	1
2001-07-23	Midtjylland	W 2-1	63.3	1621	1613	38.61%	28.89%	32.50%	+0.14	+11.2	3
2001-07-23	@ Aalborg	L 1-2	63.3	1613	1621	32.50%	28.89%	38.61%	-0.14	-11.2	0
2001-07-29	Aalborg	L 1-3	60.0	1578	1632	30.14%	28.79%	41.07%	-0.25	-18.3	0
2001-07-29	@ Aarhus GF	W 3-1	60.0	1632	1578	41.07%	28.79%	30.14%	+0.25	+18.3	6
2001-07-29	Brondby	L 1-3	60.5	1632	1726	25.20%	28.35%	46.45%	-0.50	-15.9	1
2001-07-29	@ AB Copenhagen	W 3-1	60.5	1726	1632	46.45%	28.35%	25.20%	+0.50	+15.9	6
2001-07-29	Esbjerg	W 2-0	48.3	1554	1494	45.65%	28.44%	25.91%	+0.46	+18.8	4
2001-07-29	@ Lyngby	L 0-2	48.3	1494	1554	25.91%	28.44%	45.65%	-0.46	-18.8	0
2001-07-29	Vejle BK	W 4-1	55.1	1710	1574	54.60%	26.98%	18.42%	+0.94	+17.3	6
2001-07-29	@ FC Copenhagen	L 1-4	55.1	1574	1710	18.42%	26.98%	54.60%	-0.94	-17.3	1
2001-07-29	Viborg	D 1-1	67.4	1602	1609	36.55%	28.93%	34.53%	+0.04	-0.1	1
2001-07-29	@ Midtjylland	D 1-1	67.4	1609	1602	34.53%	28.93%	36.55%	-0.04	+0.1	1
2001-07-30	Silkeborg	W 3-1	64.4	1596	1657	29.19%	28.73%	42.08%	-0.29	+23.4	3
2001-07-30	@ Odense	L 1-3	64.4	1657	1596	42.08%	28.73%	29.19%	+0.29	-23.4	1
2001-08-05	Aarhus GF	D 0-0	62.2	1609	1560	44.23%	28.57%	27.20%	+0.39	-1.3	2
2001-08-05	@ Viborg	D 0-0	62.2	1560	1609	27.20%	28.57%	44.23%	-0.39	+1.3	1
2001-08-05	AB Copenhagen	L 0-2	59.1	1650	1616	42.27%	28.72%	29.02%	+0.30	-27.1	6
2001-08-05	@ Aalborg	W 2-0	59.1	1616	1650	29.02%	28.72%	42.27%	-0.30	+27.1	4
2001-08-05	FC Copenhagen	D 0-0	65.3	1602	1727	21.89%	27.82%	50.28%	-0.70	+2.3	2
2001-08-05	@ Midtjylland	D 0-0	65.3	1727	1602	50.28%	27.82%	21.89%	+0.70	-2.3	7
2001-08-05	Odense	W 2-0	53.0	1742	1619	53.18%	27.29%	19.53%	+0.86	+14.9	9
2001-08-05	@ Brondby	L 0-2	53.0	1619	1742	19.53%	27.29%	53.18%	-0.86	-14.9	3
2001-08-05	Vejle BK	D 1-1	62.1	1475	1557	26.59%	28.51%	44.90%	-0.43	+1.3	1
2001-08-05	@ Esbjerg	D 1-1	62.1	1557	1475	44.90%	28.51%	26.59%	+0.43	-1.3	2
2001-08-06	Lyngby	D 0-0	63.1	1633	1572	45.77%	28.42%	25.81%	+0.47	-1.6	2
2001-08-06	@ Silkeborg	D 0-0	63.1	1572	1633	25.81%	28.42%	45.77%	-0.47	+1.5	5
2001-08-12	Aalborg	L 0-2	56.3	1604	1623	34.88%	28.93%	36.19%	-0.03	-23.5	3
2001-08-12	@ Odense	W 2-0	56.3	1623	1604	36.19%	28.93%	34.88%	+0.03	+23.5	9
2001-08-12	Brondby	W 1-0	66.1	1574	1757	16.90%	26.48%	56.62%	-1.06	+18.3	8
2001-08-12	@ Lyngby	L 0-1	66.1	1757	1574	56.62%	26.48%	16.90%	+1.06	-18.3	9
2001-08-12	FC Copenhagen	W 2-1	70.5	1476	1725	12.57%	24.43%	63.00%	-1.47	+18.9	4
2001-08-12	@ Esbjerg	L 1-2	70.5	1725	1476	63.00%	24.43%	12.57%	+1.47	-18.9	7
2001-08-12	Midtjylland	L 0-1	56.3	1561	1604	31.56%	28.86%	39.58%	-0.18	-11.6	1
2001-08-12	@ Aarhus GF	W 1-0	56.3	1604	1561	39.58%	28.86%	31.56%	+0.18	+11.6	5
2001-08-12	Silkeborg	W 3-0	56.5	1556	1632	27.33%	28.58%	44.09%	-0.39	+40.6	5
2001-08-12	@ Vejle BK	L 0-3	56.5	1632	1556	44.09%	28.58%	27.33%	+0.39	-40.6	2
2001-08-12	Viborg	L 1-2	66.6	1643	1608	42.41%	28.71%	28.88%	+0.31	-13.6	4
2001-08-12	@ AB Copenhagen	W 2-1	66.6	1608	1643	28.88%	28.71%	42.41%	-0.31	+13.6	5
2001-08-17	AB Copenhagen	L 0-2	61.5	1706	1629	47.78%	28.19%	24.03%	+0.57	-29.9	7
2001-08-17	@ FC Copenhagen	W 2-0	61.5	1629	1706	24.03%	28.19%	47.78%	-0.57	+29.9	7
2001-08-19	Lyngby	D 0-0	63.1	1616	1592	40.78%	28.80%	30.42%	+0.23	-0.8	6
2001-08-19	@ Midtjylland	D 0-0	63.1	1592	1616	30.42%	28.80%	40.78%	-0.23	+0.8	9
2001-08-19	Odense	L 0-1	55.8	1550	1581	33.13%	28.90%	37.97%	-0.11	-12.0	1
2001-08-19	@ Aarhus GF	W 1-0	55.8	1581	1550	37.97%	28.90%	33.13%	+0.11	+12.0	6
2001-08-19	Silkeborg	W 4-0	49.7	1739	1591	55.85%	26.68%	17.47%	+1.01	+25.5	12
2001-08-19	@ Brondby	L 0-4	49.7	1591	1739	17.47%	26.68%	55.85%	-1.01	-25.5	2
2001-08-19	Vejle BK	L 1-2	65.5	1621	1596	40.99%	28.79%	30.22%	+0.24	-13.2	5
2001-08-19	@ Viborg	W 2-1	65.5	1596	1621	30.22%	28.79%	40.99%	-0.24	+13.2	8
2001-08-20	Esbjerg	W 2-1	55.8	1646	1495	56.26%	26.57%	17.16%	+1.04	+6.6	12
2001-08-20	@ Aalborg	L 1-2	55.8	1495	1646	17.16%	26.57%	56.26%	-1.04	-6.6	4
2001-08-26	Aalborg	L 1-3	61.4	1610	1653	31.47%	28.85%	39.68%	-0.18	-18.9	8
2001-08-26	@ Vejle BK	W 3-1	61.4	1653	1610	39.68%	28.85%	31.47%	+0.18	+18.9	15
2001-08-26	Aarhus GF	D 0-0	63.3	1659	1538	53.03%	27.32%	19.65%	+0.85	-2.7	8
2001-08-26	@ AB Copenhagen	D 0-0	63.3	1538	1659	19.65%	27.32%	53.03%	-0.85	+2.7	2
2001-08-26	Brondby	L 0-7	46.8	1488	1764	11.17%	23.49%	65.35%	-1.64	-27.8	4
2001-08-26	@ Esbjerg	W 7-0	46.8	1764	1488	65.35%	23.49%	11.17%	+1.64	+27.8	15
2001-08-26	FC Copenhagen	L 0-2	52.9	1566	1676	23.42%	28.09%	48.49%	-0.61	-17.3	2
2001-08-26	@ Silkeborg	W 2-0	52.9	1676	1566	48.49%	28.09%	23.42%	+0.61	+17.3	10
2001-08-26	Midtjylland	L 0-2	55.8	1593	1615	34.41%	28.92%	36.66%	-0.05	-23.2	6
2001-08-26	@ Odense	W 2-0	55.8	1615	1593	36.66%	28.92%	34.41%	+0.05	+23.2	9
2001-08-26	Viborg	D 2-2	72.6	1593	1608	35.41%	28.93%	35.66%	-0.01	+0.0	10
2001-08-26	@ Lyngby	D 2-2	72.6	1608	1593	35.66%	28.93%	35.41%	+0.01	-0.0	6
2001-09-09	Brondby	L 1-3	60.3	1672	1792	22.47%	27.93%	49.60%	-0.66	-14.5	15
2001-09-09	@ Aalborg	W 3-1	60.3	1792	1672	49.60%	27.93%	22.47%	+0.66	+14.5	18
2001-09-09	Esbjerg	L 0-2	59.2	1638	1461	58.90%	25.83%	15.27%	+1.20	-35.7	9
2001-09-09	@ Midtjylland	W 2-0	59.2	1461	1638	15.27%	25.83%	58.90%	-1.20	+35.7	7
2001-09-09	Lyngby	W 3-1	59.2	1657	1593	46.09%	28.39%	25.52%	+0.48	+16.1	11
2001-09-09	@ AB Copenhagen	L 1-3	59.2	1593	1657	25.52%	28.39%	46.09%	-0.48	-16.1	10
2001-09-09	Odense	D 1-1	68.8	1694	1570	53.32%	27.26%	19.42%	+0.87	-2.5	11
2001-09-09	@ FC Copenhagen	D 1-1	68.8	1570	1694	19.42%	27.26%	53.32%	-0.87	+2.5	7
2001-09-09	Silkeborg	W 2-0	51.8	1608	1548	45.61%	28.44%	25.95%	+0.46	+18.8	9
2001-09-09	@ Viborg	L 0-2	51.8	1548	1608	25.95%	28.44%	45.61%	-0.46	-18.8	2
2001-09-10	Vejle BK	W 3-0	54.0	1540	1591	30.54%	28.81%	40.65%	-0.23	+38.1	5
2001-09-10	@ Aarhus GF	L 0-3	54.0	1591	1540	40.65%	28.81%	30.54%	+0.23	-38.1	8
2001-09-12	Odense	W 2-0	54.6	1496	1572	27.37%	28.59%	44.05%	-0.39	+28.0	10
2001-09-12	@ Esbjerg	L 0-2	54.6	1572	1496	44.05%	28.59%	27.37%	+0.39	-28.0	7
2001-09-16	Aalborg	L 1-2	58.8	1530	1657	21.68%	27.78%	50.54%	-0.71	-8.1	2
2001-09-16	@ Silkeborg	W 2-1	58.8	1657	1530	50.54%	27.78%	21.68%	+0.71	+8.1	18
2001-09-16	AB Copenhagen	D 2-2	73.3	1544	1673	21.62%	27.77%	50.61%	-0.72	+1.6	8
2001-09-16	@ Odense	D 2-2	73.3	1673	1544	50.61%	27.77%	21.62%	+0.72	-1.5	12
2001-09-16	Esbjerg	L 0-2	59.0	1627	1524	50.86%	27.73%	21.42%	+0.73	-31.5	9
2001-09-16	@ Viborg	W 2-0	59.0	1524	1627	21.42%	27.73%	50.86%	-0.73	+31.5	13
2001-09-16	FC Copenhagen	W 2-0	54.1	1806	1691	52.32%	27.46%	20.22%	+0.81	+15.3	21
2001-09-16	@ Brondby	L 0-2	54.1	1691	1806	20.22%	27.46%	52.32%	-0.81	-15.3	11
2001-09-16	Midtjylland	D 1-1	66.0	1553	1602	30.64%	28.81%	40.55%	-0.22	+0.7	9
2001-09-16	@ Vejle BK	D 1-1	66.0	1602	1553	40.55%	28.81%	30.64%	+0.22	-0.7	10
2001-09-17	Aarhus GF	D 1-1	66.0	1577	1579	37.32%	28.92%	33.76%	+0.08	-0.2	11
2001-09-17	@ Lyngby	D 1-1	66.0	1579	1577	33.76%	28.92%	37.32%	-0.08	+0.2	6
2001-09-23	AB Copenhagen	D 1-1	67.9	1553	1671	22.70%	27.97%	49.33%	-0.65	+1.9	10
2001-09-23	@ Vejle BK	D 1-1	67.9	1671	1553	49.33%	27.97%	22.70%	+0.65	-1.9	13
2001-09-23	FC Copenhagen	D 1-1	69.3	1666	1676	36.06%	28.93%	35.01%	+0.02	-0.1	19
2001-09-23	@ Aalborg	D 1-1	69.3	1676	1666	35.01%	28.93%	36.06%	-0.02	+0.1	12
2001-09-23	Midtjylland	L 0-1	53.6	1521	1602	26.82%	28.53%	44.64%	-0.41	-10.2	2
2001-09-23	@ Silkeborg	W 1-0	53.6	1602	1521	44.64%	28.53%	26.82%	+0.41	+10.2	13
2001-09-23	Odense	D 2-2	70.6	1577	1546	41.85%	28.74%	29.40%	+0.28	-0.6	12
2001-09-23	@ Lyngby	D 2-2	70.6	1546	1577	29.40%	28.74%	41.85%	-0.28	+0.6	9
2001-09-23	Viborg	D 0-0	67.1	1822	1595	63.49%	24.24%	12.27%	+1.51	-4.4	22
2001-09-23	@ Brondby	D 0-0	67.1	1595	1822	12.27%	24.24%	63.49%	-1.51	+4.4	10
2001-09-24	Aarhus GF	W 4-1	58.0	1556	1579	34.26%	28.92%	36.82%	-0.06	+29.9	16
2001-09-24	@ Esbjerg	L 1-4	58.0	1579	1556	36.82%	28.92%	34.26%	+0.06	-29.9	6
2001-09-30	Aalborg	L 2-3	67.7	1600	1665	28.58%	28.69%	42.73%	-0.32	-9.6	10
2001-09-30	@ Viborg	W 3-2	67.7	1665	1600	42.73%	28.69%	28.58%	+0.32	+9.6	22
2001-09-30	Brondby	D 1-1	70.9	1612	1817	15.27%	25.83%	58.91%	-1.20	+3.3	14
2001-09-30	@ Midtjylland	D 1-1	70.9	1817	1612	58.91%	25.83%	15.27%	+1.20	-3.3	23
2001-09-30	Esbjerg	W 2-0	53.1	1669	1586	48.59%	28.08%	23.33%	+0.61	+17.3	16
2001-09-30	@ AB Copenhagen	L 0-2	53.1	1586	1669	23.33%	28.08%	48.59%	-0.61	-17.3	16
2001-09-30	Lyngby	W 1-0	54.9	1676	1576	50.55%	27.78%	21.67%	+0.71	+8.6	15
2001-09-30	@ FC Copenhagen	L 0-1	54.9	1576	1676	21.67%	27.78%	50.55%	-0.71	-8.6	12
2001-09-30	Silkeborg	D 2-2	68.6	1549	1511	42.75%	28.69%	28.56%	+0.32	-0.7	7
2001-09-30	@ Aarhus GF	D 2-2	68.6	1511	1549	28.56%	28.69%	42.75%	-0.32	+0.7	3
2001-09-30	Vejle BK	W 5-1	54.8	1546	1555	36.27%	28.93%	34.80%	+0.03	+37.1	12
2001-09-30	@ Odense	L 1-5	54.8	1555	1546	34.80%	28.93%	36.27%	-0.03	-37.1	10
2001-10-10	Aarhus GF	W 3-0	49.2	1685	1548	54.67%	26.96%	18.37%	+0.94	+20.4	18
2001-10-10	@ FC Copenhagen	L 0-3	49.2	1548	1685	18.37%	26.96%	54.67%	-0.94	-20.5	7
2001-10-10	AB Copenhagen	D 2-2	74.5	1615	1686	27.90%	28.63%	43.46%	-0.36	+0.8	15
2001-10-10	@ Midtjylland	D 2-2	74.5	1686	1615	43.46%	28.63%	27.90%	+0.36	-0.8	17
2001-10-10	Esbjerg	L 3-4	66.2	1512	1568	29.74%	28.77%	41.49%	-0.27	-9.7	3
2001-10-10	@ Silkeborg	W 4-3	66.2	1568	1512	41.49%	28.77%	29.74%	+0.27	+9.7	19
2001-10-10	Lyngby	W 2-1	59.6	1675	1568	51.44%	27.62%	20.93%	+0.76	+7.9	25
2001-10-10	@ Aalborg	L 1-2	59.6	1568	1675	20.93%	27.62%	51.44%	-0.76	-7.9	12
2001-10-10	Odense	D 2-2	72.0	1590	1583	38.49%	28.89%	32.62%	+0.13	-0.3	11
2001-10-10	@ Viborg	D 2-2	72.0	1583	1590	32.62%	28.89%	38.49%	-0.13	+0.3	13
2001-10-10	Vejle BK	W 2-1	55.6	1814	1518	69.29%	21.67%	9.04%	+1.94	+3.4	26
2001-10-10	@ Brondby	L 1-2	55.6	1518	1814	9.04%	21.67%	69.29%	-1.94	-3.4	10
2001-10-14	Aalborg	D 0-0	66.6	1818	1683	54.47%	27.01%	18.52%	+0.93	-2.9	27
2001-10-14	@ Brondby	D 0-0	66.6	1683	1818	18.52%	27.01%	54.47%	-0.93	+2.9	26
2001-10-14	AB Copenhagen	D 1-1	68.0	1528	1686	18.93%	27.12%	53.95%	-0.90	+2.6	8
2001-10-14	@ Aarhus GF	D 1-1	68.0	1686	1528	53.95%	27.12%	18.93%	+0.90	-2.6	18
2001-10-14	FC Copenhagen	L 0-1	51.6	1502	1705	15.45%	25.91%	58.65%	-1.18	-6.4	3
2001-10-14	@ Silkeborg	W 1-0	51.6	1705	1502	58.65%	25.91%	15.45%	+1.18	+6.4	21
2001-10-14	Midtjylland	L 0-4	51.4	1560	1616	29.78%	28.77%	41.46%	-0.26	-39.7	12
2001-10-14	@ Lyngby	W 4-0	51.4	1616	1560	41.46%	28.77%	29.78%	+0.26	+39.7	18
2001-10-14	Odense	W 2-0	54.6	1578	1584	36.75%	28.92%	34.32%	+0.05	+23.2	22
2001-10-14	@ Esbjerg	L 0-2	54.6	1584	1578	34.32%	28.92%	36.75%	-0.05	-23.2	13
2001-10-21	Brondby	L 1-3	58.9	1656	1815	18.83%	27.10%	54.07%	-0.91	-12.5	18
2001-10-21	@ Midtjylland	W 3-1	58.9	1815	1656	54.07%	27.10%	18.83%	+0.91	+12.5	30
2001-10-21	Esbjerg	L 0-1	58.3	1590	1601	35.90%	28.93%	35.17%	+0.02	-12.7	11
2001-10-21	@ Viborg	W 1-0	58.3	1601	1590	35.17%	28.93%	35.90%	-0.02	+12.7	25
2001-10-21	Lyngby	W 4-1	52.6	1711	1520	60.27%	25.40%	14.33%	+1.29	+13.7	24
2001-10-21	@ FC Copenhagen	L 1-4	52.6	1520	1711	14.33%	25.40%	60.27%	-1.29	-13.7	12
2001-10-21	Silkeborg	W 2-1	56.1	1560	1496	46.24%	28.37%	25.39%	+0.49	+9.2	16
2001-10-21	@ Odense	L 1-2	56.1	1496	1560	25.39%	28.37%	46.24%	-0.49	-9.2	3
2001-10-21	Vejle BK	W 4-0	46.9	1683	1515	58.00%	26.10%	15.90%	+1.14	+23.4	21
2001-10-21	@ AB Copenhagen	L 0-4	46.9	1515	1683	15.90%	26.10%	58.00%	-1.14	-23.4	10
2001-10-22	Aarhus GF	L 1-4	65.3	1686	1530	56.70%	26.46%	16.84%	+1.06	-42.3	26
2001-10-22	@ Aalborg	W 4-1	65.3	1530	1686	16.84%	26.46%	56.70%	-1.06	+42.3	11
2001-10-28	Aalborg	W 4-2	68.6	1491	1644	19.42%	27.26%	53.33%	-0.87	+25.4	13
2001-10-28	@ Vejle BK	L 2-4	68.6	1644	1491	53.33%	27.26%	19.42%	+0.87	-25.4	26
2001-10-28	Brondby	L 1-2	57.9	1573	1827	12.27%	24.24%	63.49%	-1.51	-4.8	11
2001-10-28	@ Aarhus GF	W 2-1	57.9	1827	1573	63.49%	24.24%	12.27%	+1.51	+4.8	33
2001-10-28	Midtjylland	D 1-1	69.8	1725	1643	48.40%	28.11%	23.49%	+0.60	-1.8	25
2001-10-28	@ FC Copenhagen	D 1-1	69.8	1643	1725	23.49%	28.11%	48.40%	-0.60	+1.8	19
2001-10-28	Odense	L 2-3	62.9	1506	1570	28.88%	28.71%	42.41%	-0.31	-9.7	12
2001-10-28	@ Lyngby	W 3-2	62.9	1570	1506	42.41%	28.71%	28.88%	+0.31	+9.7	19
2001-10-28	Viborg	D 1-1	63.3	1487	1577	25.63%	28.40%	45.96%	-0.48	+1.4	4
2001-10-28	@ Silkeborg	D 1-1	63.3	1577	1487	45.96%	28.40%	25.63%	+0.48	-1.4	12
2001-10-29	AB Copenhagen	L 1-2	62.3	1614	1706	25.41%	28.38%	46.21%	-0.49	-9.2	25
2001-10-29	@ Esbjerg	W 2-1	62.3	1706	1614	46.21%	28.38%	25.41%	+0.49	+9.3	24
2001-11-04	Aarhus GF	W 2-0	52.5	1645	1568	47.80%	28.19%	24.02%	+0.57	+17.7	22
2001-11-04	@ Midtjylland	L 0-2	52.5	1568	1645	24.02%	28.19%	47.80%	-0.57	-17.7	11
2001-11-04	FC Copenhagen	D 1-1	69.3	1579	1723	20.16%	27.44%	52.40%	-0.81	+2.3	20
2001-11-04	@ Odense	D 1-1	69.3	1723	1579	52.40%	27.44%	20.16%	+0.81	-2.3	26
2001-11-04	Lyngby	D 1-1	63.7	1576	1497	48.05%	28.15%	23.80%	+0.58	-1.7	13
2001-11-04	@ Viborg	D 1-1	63.7	1497	1576	23.80%	28.15%	48.05%	-0.58	+1.7	13
2001-11-04	Silkeborg	W 1-0	50.0	1716	1488	63.61%	24.19%	12.19%	+1.51	+5.0	27
2001-11-04	@ AB Copenhagen	L 0-1	50.0	1488	1716	12.19%	24.19%	63.61%	-1.51	-5.0	4
2001-11-04	Vejle BK	W 6-1	48.4	1832	1517	70.75%	20.93%	8.31%	+2.06	+12.0	36
2001-11-04	@ Brondby	L 1-6	48.4	1517	1832	8.31%	20.93%	70.75%	-2.06	-12.0	13
2001-11-05	Esbjerg	D 0-0	63.4	1618	1605	39.43%	28.86%	31.71%	+0.17	-0.6	27
2001-11-05	@ Aalborg	D 0-0	63.4	1605	1618	31.71%	28.86%	39.43%	-0.17	+0.6	26
2001-11-12	Viborg	L 1-2	57.8	1505	1574	28.15%	28.65%	43.20%	-0.35	-10.0	13
2001-11-12	@ Vejle BK	W 2-1	57.8	1574	1505	43.20%	28.65%	28.15%	+0.35	+10.0	16
2001-11-18	Aalborg	W 2-0	57.5	1483	1618	21.03%	27.64%	51.33%	-0.76	+31.7	7
2001-11-18	@ Silkeborg	L 0-2	57.5	1618	1483	51.33%	27.64%	21.03%	+0.76	-31.7	27
2001-11-18	Aarhus GF	L 0-3	47.9	1495	1550	29.88%	28.77%	41.35%	-0.26	-30.4	13
2001-11-18	@ Vejle BK	W 3-0	47.9	1550	1495	41.35%	28.77%	29.88%	+0.26	+30.4	14
2001-11-18	AB Copenhagen	L 0-1	51.3	1498	1721	14.15%	25.31%	60.55%	-1.30	-5.8	13
2001-11-18	@ Lyngby	W 1-0	51.3	1721	1498	60.55%	25.31%	14.15%	+1.30	+5.8	30
2001-11-18	Brondby	L 0-2	51.0	1605	1844	13.17%	24.78%	62.05%	-1.41	-10.2	26
2001-11-18	@ Esbjerg	W 2-0	51.0	1844	1605	62.05%	24.78%	13.17%	+1.41	+10.2	39
2001-11-18	Viborg	W 2-1	59.6	1721	1584	54.74%	26.94%	18.32%	+0.95	+7.0	29
2001-11-18	@ FC Copenhagen	L 1-2	59.6	1584	1721	18.32%	26.94%	54.74%	-0.95	-7.0	16
2001-11-19	Midtjylland	W 2-1	67.1	1582	1663	26.75%	28.53%	44.72%	-0.42	+14.2	23
2001-11-19	@ Odense	L 1-2	67.1	1663	1582	44.72%	28.53%	26.75%	+0.42	-14.1	22
2001-11-25	FC Copenhagen	D 2-2	75.6	1727	1728	37.34%	28.92%	33.75%	+0.08	-0.2	31
2001-11-25	@ AB Copenhagen	D 2-2	75.6	1728	1727	33.75%	28.92%	37.34%	-0.08	+0.2	30
2001-11-25	Lyngby	W 4-0	45.9	1586	1492	49.79%	27.90%	22.31%	+0.67	+31.6	30
2001-11-25	@ Aalborg	L 0-4	45.9	1492	1586	22.31%	27.90%	49.79%	-0.67	-31.6	13
2001-11-25	Odense	D 1-1	66.5	1577	1596	34.84%	28.93%	36.23%	-0.03	+0.1	17
2001-11-25	@ Viborg	D 1-1	66.5	1596	1577	36.23%	28.93%	34.84%	+0.03	-0.1	24
2001-11-25	Silkeborg	L 0-1	69.3	1854	1515	72.55%	19.97%	7.47%	+2.21	-22.3	39
2001-11-25	@ Brondby	W 1-0	69.3	1515	1854	7.47%	19.97%	72.55%	-2.21	+22.3	10
2001-11-25	Vejle BK	W 5-0	44.3	1648	1464	59.57%	25.62%	14.81%	+1.24	+26.9	25
2001-11-25	@ Midtjylland	L 0-5	44.3	1464	1648	14.81%	25.62%	59.57%	-1.24	-26.9	13
2001-11-26	Esbjerg	L 1-6	56.1	1581	1595	35.48%	28.93%	35.59%	+0.00	-46.0	14
2001-11-26	@ Aarhus GF	W 6-1	56.1	1595	1581	35.59%	28.93%	35.48%	+0.00	+46.0	29
2001-12-01	Aalborg	W 3-0	51.7	1728	1618	51.81%	27.56%	20.63%	+0.78	+22.6	33
2001-12-01	@ FC Copenhagen	L 0-3	51.7	1618	1728	20.63%	27.56%	51.81%	-0.78	-22.7	30
2001-12-02	AB Copenhagen	D 2-2	75.0	1596	1726	21.41%	27.72%	50.87%	-0.73	+1.6	25
2001-12-02	@ Odense	D 2-2	75.0	1726	1596	50.87%	27.72%	21.41%	+0.73	-1.6	32
2001-12-02	Brondby	D 2-2	77.0	1461	1832	7.36%	19.84%	72.79%	-2.23	+3.8	14
2001-12-02	@ Lyngby	D 2-2	77.0	1832	1461	72.79%	19.84%	7.36%	+2.23	-3.8	40
2001-12-02	Midtjylland	W 2-1	67.8	1577	1675	24.76%	28.29%	46.95%	-0.53	+14.7	20
2001-12-02	@ Viborg	L 1-2	67.8	1675	1577	46.95%	28.29%	24.76%	+0.53	-14.7	25
2001-12-02	Vejle BK	L 0-2	59.0	1641	1437	61.43%	25.00%	13.57%	+1.36	-37.0	29
2001-12-02	@ Esbjerg	W 2-0	59.0	1437	1641	13.57%	25.00%	61.43%	-1.36	+37.0	16
2001-12-03	Aarhus GF	W 1-0	53.9	1537	1535	37.88%	28.91%	33.22%	+0.10	+12.0	13
2001-12-03	@ Silkeborg	L 0-1	53.9	1535	1537	33.22%	28.91%	37.88%	-0.10	-12.0	14
2001-12-09	Esbjerg	D 1-1	68.5	1661	1604	45.21%	28.48%	26.31%	+0.44	-1.3	26
2001-12-09	@ Midtjylland	D 1-1	68.5	1604	1661	26.31%	28.48%	45.21%	-0.44	+1.3	30
2001-12-09	FC Copenhagen	W 1-0	58.1	1828	1751	47.82%	28.18%	24.00%	+0.57	+9.4	43
2001-12-09	@ Brondby	L 0-1	58.1	1751	1828	24.00%	28.18%	47.82%	-0.57	-9.4	33
2001-12-09	Lyngby	W 7-0	44.9	1523	1465	45.39%	28.46%	26.15%	+0.45	+60.9	17
2001-12-09	@ Aarhus GF	L 0-7	44.9	1465	1523	26.15%	28.46%	45.39%	-0.45	-60.9	14
2001-12-09	Silkeborg	L 0-4	45.7	1474	1549	27.49%	28.60%	43.92%	-0.38	-37.3	16
2001-12-09	@ Vejle BK	W 4-0	45.7	1549	1474	43.92%	28.60%	27.49%	+0.38	+37.3	16
2001-12-09	Viborg	L 1-2	70.6	1725	1592	54.31%	27.04%	18.65%	+0.92	-16.6	32
2001-12-09	@ AB Copenhagen	W 2-1	70.6	1592	1725	18.65%	27.04%	54.31%	-0.92	+16.7	23
2001-12-10	Odense	D 1-1	67.0	1595	1597	37.19%	28.92%	33.89%	+0.07	-0.2	31
2001-12-10	@ Aalborg	D 1-1	67.0	1597	1595	33.89%	28.92%	37.19%	-0.07	+0.2	26
2002-03-03	Aarhus GF	D 0-0	65.7	1742	1583	56.95%	26.39%	16.66%	+1.08	-3.3	34
2002-03-03	@ FC Copenhagen	D 0-0	65.7	1583	1742	16.66%	26.39%	56.95%	-1.08	+3.3	18
2002-03-03	Brondby	W 4-3	81.1	1598	1837	13.09%	24.74%	62.18%	-1.41	+17.3	29
2002-03-03	@ Odense	L 3-4	81.1	1837	1598	62.18%	24.74%	13.09%	+1.41	-17.3	43
2002-03-03	Vejle BK	L 2-5	49.7	1404	1437	32.84%	28.90%	38.26%	-0.12	-23.8	14
2002-03-03	@ Lyngby	W 5-2	49.7	1437	1404	38.26%	28.90%	32.84%	+0.12	+23.8	19
2002-03-04	Aalborg	L 0-1	59.6	1608	1595	39.48%	28.86%	31.66%	+0.17	-13.6	23
2002-03-04	@ Viborg	W 1-0	59.6	1595	1608	31.66%	28.86%	39.48%	-0.17	+13.6	34
2002-03-10	FC Copenhagen	L 1-3	52.4	1461	1738	11.09%	23.43%	65.48%	-1.65	-7.4	19
2002-03-10	@ Vejle BK	W 3-1	52.4	1738	1461	65.48%	23.43%	11.09%	+1.65	+7.4	37
2002-03-10	Lyngby	W 5-0	38.6	1605	1380	63.41%	24.27%	12.32%	+1.50	+22.4	33
2002-03-10	@ Esbjerg	L 0-5	38.6	1380	1605	12.32%	24.27%	63.41%	-1.50	-22.4	14
2002-03-10	Odense	L 1-3	60.9	1587	1615	33.55%	28.91%	37.54%	-0.09	-19.8	18
2002-03-10	@ Aarhus GF	W 3-1	60.9	1615	1587	37.54%	28.91%	33.55%	+0.09	+19.8	32
2002-03-10	Silkeborg	W 1-0	55.8	1659	1586	47.29%	28.25%	24.46%	+0.54	+9.5	29
2002-03-10	@ Midtjylland	L 0-1	55.8	1586	1659	24.46%	28.25%	47.29%	-0.54	-9.5	16
2002-03-10	Viborg	D 2-2	76.8	1820	1595	63.40%	24.28%	12.33%	+1.50	-2.9	44
2002-03-10	@ Brondby	D 2-2	76.8	1595	1820	12.33%	24.28%	63.40%	-1.50	+2.9	24
2002-03-11	AB Copenhagen	W 2-1	68.8	1608	1708	24.58%	28.27%	47.15%	-0.54	+14.8	37
2002-03-11	@ Aalborg	L 1-2	68.8	1708	1608	47.15%	28.27%	24.58%	+0.54	-14.8	32
2002-03-13	Esbjerg	D 0-0	63.0	1577	1628	30.47%	28.81%	40.72%	-0.23	+0.8	17
2002-03-13	@ Silkeborg	D 0-0	63.0	1628	1577	40.72%	28.81%	30.47%	+0.23	-0.8	34
2002-03-14	Midtjylland	L 0-1	62.4	1693	1669	40.96%	28.79%	30.24%	+0.24	-14.0	32
2002-03-14	@ AB Copenhagen	W 1-0	62.4	1669	1693	30.24%	28.79%	40.96%	-0.24	+14.0	32
2002-03-17	Aarhus GF	D 0-0	62.1	1598	1567	41.79%	28.75%	29.46%	+0.28	-0.9	25
2002-03-17	@ Viborg	D 0-0	62.1	1567	1598	29.46%	28.75%	41.79%	-0.28	+0.9	19
2002-03-17	Brondby	L 1-2	61.9	1679	1817	20.73%	27.58%	51.69%	-0.77	-7.8	32
2002-03-17	@ AB Copenhagen	W 2-1	61.9	1817	1679	51.69%	27.58%	20.73%	+0.77	+7.8	47
2002-03-17	Esbjerg	W 6-0	51.6	1746	1627	52.70%	27.38%	19.91%	+0.83	+42.0	40
2002-03-17	@ FC Copenhagen	L 0-6	51.6	1627	1746	19.91%	27.38%	52.70%	-0.83	-42.0	34
2002-03-17	Silkeborg	L 0-5	37.7	1358	1578	14.30%	25.38%	60.32%	-1.29	-26.0	14
2002-03-17	@ Lyngby	W 5-0	37.7	1578	1358	60.32%	25.38%	14.30%	+1.29	+26.0	20
2002-03-17	Vejle BK	W 1-0	48.1	1635	1453	59.28%	25.71%	15.01%	+1.22	+6.2	35
2002-03-17	@ Odense	L 0-1	48.1	1453	1635	15.01%	25.71%	59.28%	-1.22	-6.2	19
2002-03-18	Aalborg	L 0-1	63.1	1683	1623	45.63%	28.44%	25.93%	+0.46	-15.2	32
2002-03-18	@ Midtjylland	W 1-0	63.1	1623	1683	25.93%	28.44%	45.63%	-0.46	+15.3	40
2002-03-24	Aalborg	L 0-7	37.5	1332	1638	9.75%	22.34%	67.92%	-1.83	-23.9	14
2002-03-24	@ Lyngby	W 7-0	37.5	1638	1332	67.92%	22.34%	9.75%	+1.83	+23.9	43
2002-03-24	Aarhus GF	W 2-0	53.5	1585	1568	39.93%	28.84%	31.23%	+0.19	+21.7	37
2002-03-24	@ Esbjerg	L 0-2	53.5	1568	1585	31.23%	28.84%	39.93%	-0.19	-21.7	19
2002-03-24	AB Copenhagen	D 0-0	66.3	1788	1672	52.41%	27.44%	20.15%	+0.81	-2.6	41
2002-03-24	@ FC Copenhagen	D 0-0	66.3	1672	1788	20.15%	27.44%	52.41%	-0.81	+2.6	33
2002-03-24	Brondby	L 1-2	59.0	1604	1825	14.21%	25.34%	60.45%	-1.30	-5.5	20
2002-03-24	@ Silkeborg	W 2-1	59.0	1825	1604	60.45%	25.34%	14.21%	+1.30	+5.5	50
2002-03-24	Midtjylland	D 0-0	61.6	1447	1668	14.28%	25.37%	60.35%	-1.29	+3.9	20
2002-03-24	@ Vejle BK	D 0-0	61.6	1668	1447	60.35%	25.37%	14.28%	+1.29	-3.9	33
2002-03-24	Viborg	L 0-1	61.5	1641	1597	43.58%	28.62%	27.80%	+0.36	-14.7	35
2002-03-24	@ Odense	W 1-0	61.5	1597	1641	27.80%	28.62%	43.58%	-0.36	+14.7	28
2002-04-01	Esbjerg	W 1-0	53.0	1831	1607	63.27%	24.32%	12.40%	+1.49	+5.1	53
2002-04-01	@ Brondby	L 0-1	53.0	1607	1831	12.40%	24.32%	63.27%	-1.49	-5.1	37
2002-04-01	FC Copenhagen	L 0-2	52.6	1611	1785	17.64%	26.73%	55.63%	-1.00	-13.6	28
2002-04-01	@ Viborg	W 2-0	52.6	1785	1611	55.63%	26.73%	17.64%	+1.00	+13.6	44
2002-04-01	Lyngby	W 3-0	35.6	1674	1308	74.46%	18.90%	6.64%	+2.38	+6.9	36
2002-04-01	@ AB Copenhagen	L 0-3	35.6	1308	1674	6.64%	18.90%	74.46%	-2.38	-6.9	14
2002-04-01	Odense	L 0-1	62.1	1664	1626	42.73%	28.69%	28.59%	+0.32	-14.5	33
2002-04-01	@ Midtjylland	W 1-0	62.1	1626	1664	28.59%	28.69%	42.73%	-0.32	+14.5	38
2002-04-01	Silkeborg	L 0-2	60.1	1662	1598	46.18%	28.38%	25.44%	+0.49	-29.0	43
2002-04-01	@ Aalborg	W 2-0	60.1	1598	1662	25.44%	28.38%	46.18%	-0.49	+29.1	23
2002-04-01	Vejle BK	D 0-0	56.7	1546	1451	50.00%	27.87%	22.13%	+0.68	-2.2	20
2002-04-01	@ Aarhus GF	D 0-0	56.7	1451	1546	22.13%	27.87%	50.00%	-0.68	+2.2	21
2002-04-07	Aalborg	L 0-1	58.3	1602	1633	33.06%	28.90%	38.04%	-0.11	-12.0	37
2002-04-07	@ Esbjerg	W 1-0	58.3	1633	1602	38.04%	28.90%	33.06%	+0.11	+12.0	46
2002-04-07	AB Copenhagen	D 1-1	69.0	1627	1681	30.07%	28.78%	41.14%	-0.25	+0.7	24
2002-04-07	@ Silkeborg	D 1-1	69.0	1681	1627	41.14%	28.78%	30.07%	+0.25	-0.7	37
2002-04-07	Brondby	D 1-1	71.6	1453	1836	7.00%	19.39%	73.61%	-2.31	+5.1	22
2002-04-07	@ Vejle BK	D 1-1	71.6	1836	1453	73.61%	19.39%	7.00%	+2.31	-5.1	54
2002-04-07	Midtjylland	L 2-3	64.8	1544	1649	24.01%	28.19%	47.80%	-0.57	-8.4	20
2002-04-07	@ Aarhus GF	W 3-2	64.8	1649	1544	47.80%	28.19%	24.01%	+0.57	+8.4	36
2002-04-07	Odense	W 4-0	50.2	1799	1641	56.95%	26.39%	16.66%	+1.08	+24.5	47
2002-04-07	@ FC Copenhagen	L 0-4	50.2	1641	1799	16.66%	26.39%	56.95%	-1.08	-24.4	38
2002-04-07	Viborg	L 1-5	38.3	1301	1598	10.16%	22.69%	67.14%	-1.77	-12.3	14
2002-04-07	@ Lyngby	W 5-1	38.3	1598	1301	67.14%	22.69%	10.16%	+1.77	+12.3	31
2002-04-10	Aarhus GF	D 2-2	77.2	1831	1536	69.21%	21.72%	9.08%	+1.93	-3.4	55
2002-04-10	@ Brondby	D 2-2	77.2	1536	1831	9.08%	21.72%	69.21%	-1.93	+3.5	21
2002-04-10	Esbjerg	D 0-0	64.5	1680	1590	49.48%	27.95%	22.57%	+0.66	-2.1	38
2002-04-10	@ AB Copenhagen	D 0-0	64.5	1590	1680	22.57%	27.95%	49.48%	-0.66	+2.1	38
2002-04-10	FC Copenhagen	L 0-1	55.7	1658	1823	18.30%	26.94%	54.76%	-0.95	-7.5	36
2002-04-10	@ Midtjylland	W 1-0	55.7	1823	1658	54.76%	26.94%	18.30%	+0.95	+7.4	50
2002-04-10	Lyngby	W 4-0	33.1	1616	1288	71.70%	20.43%	7.87%	+2.14	+11.1	41
2002-04-10	@ Odense	L 0-4	33.1	1288	1616	7.87%	20.43%	71.70%	-2.14	-11.1	14
2002-04-10	Silkeborg	W 3-2	69.5	1610	1628	35.02%	28.93%	36.06%	-0.02	+11.4	34
2002-04-10	@ Viborg	L 2-3	69.5	1628	1610	36.06%	28.93%	35.02%	+0.02	-11.4	24
2002-04-10	Vejle BK	D 2-2	71.0	1645	1458	59.81%	25.55%	14.64%	+1.26	-2.5	47
2002-04-10	@ Aalborg	D 2-2	71.0	1458	1645	14.64%	25.55%	59.81%	-1.26	+2.5	23
2002-04-14	Aalborg	D 2-2	72.4	1539	1643	24.19%	28.21%	47.59%	-0.56	+1.2	22
2002-04-14	@ Aarhus GF	D 2-2	72.4	1643	1539	47.59%	28.21%	24.19%	+0.56	-1.2	48
2002-04-14	AB Copenhagen	L 0-4	44.8	1461	1678	14.48%	25.47%	60.05%	-1.27	-21.4	23
2002-04-14	@ Vejle BK	W 4-0	44.8	1678	1461	60.05%	25.47%	14.48%	+1.27	+21.4	41
2002-04-14	FC Copenhagen	L 0-3	37.3	1277	1830	3.23%	12.96%	83.81%	-3.38	-3.0	14
2002-04-14	@ Lyngby	W 3-0	37.3	1830	1277	83.81%	12.96%	3.23%	+3.38	+3.0	53
2002-04-14	Midtjylland	L 1-2	72.7	1827	1650	58.86%	25.84%	15.30%	+1.20	-17.8	55
2002-04-14	@ Brondby	W 2-1	72.7	1650	1827	15.30%	25.84%	58.86%	-1.20	+17.8	39
2002-04-14	Odense	D 2-2	73.5	1616	1627	36.02%	28.93%	35.05%	+0.02	-0.0	25
2002-04-14	@ Silkeborg	D 2-2	73.5	1627	1616	35.05%	28.93%	36.02%	-0.02	+0.0	42
2002-04-14	Viborg	W 1-0	59.3	1592	1622	33.29%	28.91%	37.80%	-0.10	+13.2	41
2002-04-14	@ Esbjerg	L 0-1	59.3	1622	1592	37.80%	28.91%	33.29%	+0.10	-13.2	34
2002-04-21	Brondby	L 1-2	60.7	1641	1809	18.09%	26.87%	55.04%	-0.96	-7.0	48
2002-04-21	@ Aalborg	W 2-1	60.7	1809	1641	55.04%	26.87%	18.09%	+0.96	+6.9	58
2002-04-21	Esbjerg	W 2-1	62.7	1627	1605	40.66%	28.81%	30.53%	+0.23	+10.7	45
2002-04-21	@ Odense	L 1-2	62.7	1605	1627	30.53%	28.81%	40.66%	-0.23	-10.7	41
2002-04-21	Lyngby	W 4-0	33.0	1668	1274	76.28%	17.83%	5.89%	+2.55	+7.9	42
2002-04-21	@ Midtjylland	L 0-4	33.0	1274	1668	5.89%	17.83%	76.28%	-2.55	-7.9	14
2002-04-21	Silkeborg	W 2-1	58.4	1833	1616	62.65%	24.56%	12.79%	+1.45	+5.0	56
2002-04-21	@ FC Copenhagen	L 1-2	58.4	1616	1833	12.79%	24.56%	62.65%	-1.45	-5.0	25
2002-04-21	Vejle BK	W 4-1	48.0	1608	1440	58.05%	26.08%	15.86%	+1.15	+15.1	37
2002-04-21	@ Viborg	L 1-4	48.0	1440	1608	15.86%	26.08%	58.05%	-1.15	-15.1	23
2002-04-22	Aarhus GF	W 1-0	52.7	1700	1540	57.08%	26.35%	16.56%	+1.09	+6.8	44
2002-04-22	@ AB Copenhagen	L 0-1	52.7	1540	1700	16.56%	26.35%	57.08%	-1.09	-6.8	22
2002-04-28	AB Copenhagen	W 5-0	52.3	1816	1706	51.70%	27.58%	20.72%	+0.78	+36.6	61
2002-04-28	@ Brondby	L 0-5	52.3	1706	1816	20.72%	27.58%	51.70%	-0.78	-36.6	44
2002-04-28	FC Copenhagen	L 1-3	56.2	1594	1838	12.84%	24.59%	62.56%	-1.44	-8.7	41
2002-04-28	@ Esbjerg	W 3-1	56.2	1838	1594	62.56%	24.59%	12.84%	+1.44	+8.7	59
2002-04-28	Lyngby	W 5-2	40.3	1611	1266	72.95%	19.75%	7.29%	+2.25	+5.7	28
2002-04-28	@ Silkeborg	L 2-5	40.3	1266	1611	7.29%	19.75%	72.95%	-2.25	-5.7	14
2002-04-28	Midtjylland	L 0-1	59.1	1634	1676	31.72%	28.86%	39.42%	-0.17	-11.6	48
2002-04-28	@ Aalborg	W 1-0	59.1	1676	1634	39.42%	28.86%	31.72%	+0.17	+11.6	45
2002-04-28	Odense	D 1-1	64.1	1425	1638	14.73%	25.59%	59.68%	-1.25	+3.4	24
2002-04-28	@ Vejle BK	D 1-1	64.1	1638	1425	59.68%	25.59%	14.73%	+1.25	-3.4	46
2002-04-28	Viborg	W 4-3	73.4	1534	1624	25.70%	28.41%	45.89%	-0.48	+13.4	25
2002-04-28	@ Aarhus GF	L 3-4	73.4	1624	1534	45.89%	28.41%	25.70%	+0.48	-13.4	37
2002-05-01	Aalborg	W 1-0	57.5	1670	1623	43.97%	28.59%	27.44%	+0.38	+10.4	47
2002-05-01	@ AB Copenhagen	L 0-1	57.5	1623	1670	27.44%	28.59%	43.97%	-0.38	-10.4	48
2002-05-01	Aarhus GF	W 5-0	49.3	1635	1547	49.09%	28.01%	22.91%	+0.64	+39.8	49
2002-05-01	@ Odense	L 0-5	49.3	1547	1635	22.91%	28.01%	49.09%	-0.64	-39.8	25
2002-05-01	Brondby	D 1-1	71.5	1610	1853	12.93%	24.64%	62.43%	-1.43	+3.8	38
2002-05-01	@ Viborg	D 1-1	71.5	1853	1610	62.43%	24.64%	12.93%	+1.43	-3.8	62
2002-05-01	Esbjerg	L 0-2	34.2	1261	1586	9.01%	21.64%	69.35%	-1.95	-6.8	14
2002-05-01	@ Lyngby	W 2-0	34.2	1586	1261	69.35%	21.64%	9.01%	+1.95	+6.8	44
2002-05-01	Midtjylland	L 2-3	68.0	1617	1688	28.01%	28.64%	43.35%	-0.35	-9.5	28
2002-05-01	@ Silkeborg	W 3-2	68.0	1688	1617	43.35%	28.64%	28.01%	+0.35	+9.5	48
2002-05-01	Vejle BK	W 2-1	52.2	1847	1428	77.90%	16.84%	5.26%	+2.71	+1.8	62
2002-05-01	@ FC Copenhagen	L 1-2	52.2	1428	1847	5.26%	16.84%	77.90%	-2.71	-1.8	24
2002-05-05	AB Copenhagen	W 2-0	57.2	1697	1680	39.89%	28.84%	31.27%	+0.19	+21.7	51
2002-05-05	@ Midtjylland	L 0-2	57.2	1680	1697	31.27%	28.84%	39.89%	-0.19	-21.7	47
2002-05-05	FC Copenhagen	L 1-2	55.4	1507	1849	8.37%	20.99%	70.64%	-2.05	-3.1	25
2002-05-05	@ Aarhus GF	W 2-1	55.4	1849	1507	70.64%	20.99%	8.37%	+2.05	+3.1	65
2002-05-05	Lyngby	D 2-2	58.8	1426	1254	58.38%	25.99%	15.63%	+1.17	-2.4	25
2002-05-05	@ Vejle BK	D 2-2	58.8	1254	1426	15.63%	25.99%	58.38%	-1.17	+2.4	15
2002-05-05	Odense	W 4-1	55.7	1849	1674	58.64%	25.91%	15.45%	+1.18	+14.7	65
2002-05-05	@ Brondby	L 1-4	55.7	1674	1849	15.45%	25.91%	58.64%	-1.18	-14.7	49
2002-05-05	Viborg	W 2-1	63.6	1612	1614	37.33%	28.92%	33.75%	+0.08	+11.5	51
2002-05-05	@ Aalborg	L 1-2	63.6	1614	1612	33.75%	28.92%	37.33%	-0.08	-11.5	38
2002-05-06	Silkeborg	D 1-1	67.1	1592	1608	35.36%	28.93%	35.71%	-0.01	+0.0	45
2002-05-06	@ Esbjerg	D 1-1	67.1	1608	1592	35.71%	28.93%	35.36%	+0.01	-0.0	29
2002-05-12	Aalborg	L 1-2	67.1	1660	1624	42.48%	28.70%	28.82%	+0.31	-13.6	49
2002-05-12	@ Odense	W 2-1	67.1	1624	1660	28.82%	28.70%	42.48%	-0.31	+13.6	54
2002-05-12	Aarhus GF	L 0-1	36.7	1256	1504	12.64%	24.47%	62.88%	-1.46	-5.2	15
2002-05-12	@ Lyngby	W 1-0	36.7	1504	1256	62.88%	24.47%	12.64%	+1.46	+5.2	28
2002-05-12	AB Copenhagen	W 2-1	66.5	1602	1659	29.79%	28.77%	41.44%	-0.26	+13.3	41
2002-05-12	@ Viborg	L 1-2	66.5	1659	1602	41.44%	28.77%	29.79%	+0.26	-13.3	47
2002-05-12	Brondby	D 1-1	70.7	1852	1864	35.86%	28.93%	35.21%	+0.01	-0.0	66
2002-05-12	@ FC Copenhagen	D 1-1	70.7	1864	1852	35.21%	28.93%	35.86%	-0.01	+0.0	66
2002-05-12	Midtjylland	L 0-1	55.8	1592	1719	21.84%	27.81%	50.35%	-0.70	-8.7	45
2002-05-12	@ Esbjerg	W 1-0	55.8	1719	1592	50.35%	27.81%	21.84%	+0.70	+8.7	54
2002-05-12	Vejle BK	W 1-0	46.0	1608	1424	59.55%	25.63%	14.82%	+1.24	+6.1	32
2002-05-12	@ Silkeborg	L 0-1	46.0	1424	1608	14.82%	25.63%	59.55%	-1.24	-6.1	25
2002-05-16	Esbjerg	W 2-0	54.8	1418	1584	18.23%	26.92%	54.85%	-0.95	+33.6	28
2002-05-16	@ Vejle BK	L 0-2	54.8	1584	1418	54.85%	26.92%	18.23%	+0.95	-33.6	45
2002-05-16	FC Copenhagen	L 2-4	61.3	1637	1852	14.66%	25.56%	59.78%	-1.26	-8.8	54
2002-05-16	@ Aalborg	W 4-2	61.3	1852	1637	59.78%	25.56%	14.66%	+1.26	+8.8	69
2002-05-16	Lyngby	W 2-0	38.0	1864	1251	87.70%	10.18%	2.12%	+3.92	+1.3	69
2002-05-16	@ Brondby	L 0-2	38.0	1251	1864	2.12%	10.18%	87.70%	-3.92	-1.2	15
2002-05-16	Odense	W 4-3	72.5	1645	1646	37.43%	28.91%	33.66%	+0.08	+10.6	50
2002-05-16	@ AB Copenhagen	L 3-4	72.5	1646	1645	33.66%	28.91%	37.43%	-0.08	-10.6	49
2002-05-16	Silkeborg	W 4-0	55.1	1509	1614	24.08%	28.20%	47.72%	-0.57	+56.6	31
2002-05-16	@ Aarhus GF	L 0-4	55.1	1614	1509	47.72%	28.20%	24.08%	+0.57	-56.6	32
2002-05-16	Viborg	W 3-1	58.8	1727	1616	51.91%	27.54%	20.55%	+0.79	+13.4	57
2002-05-16	@ Midtjylland	L 1-3	58.8	1616	1727	20.55%	27.54%	51.91%	-0.79	-13.5	41

Biggest Upsets

The 25 games where the underdog won despite the lowest pregame win probability. Underdog Win % is the winner's pregame chance of winning the game (lower = bigger upset). @ before a team name indicates the away side. An asterisk (*) after the date marks a playoff game.

#	Date	Underdog Win %	Winning Team			Losing Team
#	Date	Underdog Win %	Team	Elo	Score	Team	Elo	Score
1	2001-11-25	7.47%	Silkeborg	1515	1	@ Brondby	1854	0
2	2001-08-12	12.57%	@ Esbjerg	1476	2	FC Copenhagen	1725	1
3	2002-03-03	13.09%	@ Odense	1598	4	Brondby	1837	3
4	2001-12-02	13.57%	Vejle BK	1437	2	@ Esbjerg	1641	0
5	2001-09-09	15.27%	Esbjerg	1461	2	@ Midtjylland	1638	0
6	2002-04-14	15.30%	Midtjylland	1650	2	@ Brondby	1827	1
7	2001-10-22	16.84%	Aarhus GF	1530	4	@ Aalborg	1686	1
8	2001-08-12	16.90%	@ Lyngby	1574	1	Brondby	1757	0
9	2002-05-16	18.23%	@ Vejle BK	1418	2	Esbjerg	1584	0
10	2001-12-09	18.65%	Viborg	1592	2	@ AB Copenhagen	1725	1
11	2001-10-28	19.42%	@ Vejle BK	1491	4	Aalborg	1644	2
12	2001-11-18	21.03%	@ Silkeborg	1483	2	Aalborg	1618	0
13	2001-09-16	21.42%	Esbjerg	1524	2	@ Viborg	1627	0
14	2001-08-17	24.03%	AB Copenhagen	1629	2	@ FC Copenhagen	1706	0
15	2002-05-16	24.08%	@ Aarhus GF	1509	4	Silkeborg	1614	0
16	2002-03-11	24.58%	@ Aalborg	1608	2	AB Copenhagen	1708	1
17	2001-12-02	24.76%	@ Viborg	1577	2	Midtjylland	1675	1
18	2002-04-01	25.44%	Silkeborg	1598	2	@ Aalborg	1662	0
19	2002-04-28	25.70%	@ Aarhus GF	1534	4	Viborg	1624	3
20	2002-03-18	25.93%	Aalborg	1623	1	@ Midtjylland	1683	0
21	2001-11-19	26.75%	@ Odense	1582	2	Midtjylland	1663	1
22	2001-08-12	27.33%	@ Vejle BK	1556	3	Silkeborg	1632	0
23	2001-09-12	27.37%	@ Esbjerg	1496	2	Odense	1572	0
24	2002-03-24	27.80%	Viborg	1597	1	@ Odense	1641	0
25	2002-04-01	28.59%	Odense	1626	1	@ Midtjylland	1664	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	2001-12-09	60.85	@ Aarhus GF	7	1523	45.39%	Lyngby	0	1465	26.15%	28.46%
2	2002-05-16	56.63	@ Aarhus GF	4	1509	24.08%	Silkeborg	0	1614	47.72%	28.20%
3	2001-11-26	46.02	Esbjerg	6	1595	35.59%	@ Aarhus GF	1	1581	35.48%	28.93%
4	2001-07-22	43.95	@ Brondby	5	1682	45.65%	Aarhus GF	0	1622	25.92%	28.44%
5	2001-10-22	42.33	Aarhus GF	4	1530	16.84%	@ Aalborg	1	1686	56.70%	26.46%
6	2002-03-17	42.01	@ FC Copenhagen	6	1746	52.70%	Esbjerg	0	1627	19.91%	27.38%
7	2001-08-12	40.64	@ Vejle BK	3	1556	27.33%	Silkeborg	0	1632	44.09%	28.58%
8	2002-05-01	39.81	@ Odense	5	1635	49.09%	Aarhus GF	0	1547	22.91%	28.01%
9	2001-10-14	39.67	Midtjylland	4	1616	41.46%	@ Lyngby	0	1560	29.78%	28.77%
10	2001-09-10	38.15	@ Aarhus GF	3	1540	30.54%	Vejle BK	0	1591	40.65%	28.81%
11	2001-12-09	37.34	Silkeborg	4	1549	43.92%	@ Vejle BK	0	1474	27.49%	28.60%
12	2001-09-30	37.06	@ Odense	5	1546	36.27%	Vejle BK	1	1555	34.80%	28.93%
13	2001-12-02	37.02	Vejle BK	2	1437	13.57%	@ Esbjerg	0	1641	61.43%	25.00%
14	2002-04-28	36.60	@ Brondby	5	1816	51.70%	AB Copenhagen	0	1706	20.72%	27.58%
15	2001-09-09	35.71	Esbjerg	2	1461	15.27%	@ Midtjylland	0	1638	58.90%	25.83%
16	2002-05-16	33.59	@ Vejle BK	2	1418	18.23%	Esbjerg	0	1584	54.85%	26.92%
17	2001-11-18	31.73	@ Silkeborg	2	1483	21.03%	Aalborg	0	1618	51.33%	27.64%
18	2001-11-25	31.61	@ Aalborg	4	1586	49.79%	Lyngby	0	1492	22.31%	27.90%
19	2001-09-16	31.48	Esbjerg	2	1524	21.42%	@ Viborg	0	1627	50.86%	27.73%
20	2001-11-18	30.44	Aarhus GF	3	1550	41.35%	@ Vejle BK	0	1495	29.88%	28.77%
21	2001-08-17	29.88	AB Copenhagen	2	1629	24.03%	@ FC Copenhagen	0	1706	47.78%	28.19%
22	2001-09-24	29.88	@ Esbjerg	4	1556	34.26%	Aarhus GF	1	1579	36.82%	28.92%
23	2002-04-01	29.05	Silkeborg	2	1598	25.44%	@ Aalborg	0	1662	46.18%	28.38%
24	2001-09-12	27.97	@ Esbjerg	2	1496	27.37%	Odense	0	1572	44.05%	28.59%
25	2001-08-26	27.76	Brondby	7	1764	65.35%	@ Esbjerg	0	1488	11.17%	23.49%

Most & Least Exciting Games

The season’s games ranked by excitement rating (0–100) — a blend of closeness, upset, team quality, and scoring. An asterisk (*) after the date indicates a playoff game.

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2002-03-03	81.1	@ Odense	4	1598	13.09%	Brondby	3	1837	62.18%	24.74%
2	2002-04-10	77.2	@ Brondby	2	1831	69.21%	Aarhus GF	2	1536	9.08%	21.72%
3	2001-12-02	77.0	@ Lyngby	2	1461	7.36%	Brondby	2	1832	72.79%	19.84%
4	2002-03-10	76.8	@ Brondby	2	1820	63.40%	Viborg	2	1595	12.33%	24.28%
5	2001-11-25	75.6	@ AB Copenhagen	2	1727	37.34%	FC Copenhagen	2	1728	33.75%	28.92%
6	2001-12-02	75.0	@ Odense	2	1596	21.41%	AB Copenhagen	2	1726	50.87%	27.72%
7	2001-10-10	74.5	@ Midtjylland	2	1615	27.90%	AB Copenhagen	2	1686	43.46%	28.63%
8	2002-04-14	73.5	@ Silkeborg	2	1616	36.02%	Odense	2	1627	35.05%	28.93%
9	2002-04-28	73.4	@ Aarhus GF	4	1534	25.70%	Viborg	3	1624	45.89%	28.41%
10	2001-09-16	73.3	@ Odense	2	1544	21.62%	AB Copenhagen	2	1673	50.61%	27.77%
11	2002-04-14	72.7	Midtjylland	2	1650	15.30%	@ Brondby	1	1827	58.86%	25.84%
12	2001-08-26	72.6	@ Lyngby	2	1593	35.41%	Viborg	2	1608	35.66%	28.93%
13	2002-05-16	72.5	@ AB Copenhagen	4	1645	37.43%	Odense	3	1646	33.66%	28.91%
14	2002-04-14	72.4	@ Aarhus GF	2	1539	24.19%	Aalborg	2	1643	47.59%	28.21%
15	2001-10-10	72.0	@ Viborg	2	1590	38.49%	Odense	2	1583	32.62%	28.89%
16	2002-04-07	71.6	@ Vejle BK	1	1453	7.00%	Brondby	1	1836	73.61%	19.39%
17	2002-05-01	71.5	@ Viborg	1	1610	12.93%	Brondby	1	1853	62.43%	24.64%
18	2002-04-10	71.0	@ Aalborg	2	1645	59.81%	Vejle BK	2	1458	14.64%	25.55%
19	2001-09-30	70.9	@ Midtjylland	1	1612	15.27%	Brondby	1	1817	58.91%	25.83%
20	2001-07-22	70.8	@ Vejle BK	2	1575	40.57%	Lyngby	2	1553	30.62%	28.81%
21	2002-05-12	70.7	@ FC Copenhagen	1	1852	35.86%	Brondby	1	1864	35.21%	28.93%
22	2001-09-23	70.6	@ Lyngby	2	1577	41.85%	Odense	2	1546	29.40%	28.74%
23	2001-12-09	70.6	Viborg	2	1592	18.65%	@ AB Copenhagen	1	1725	54.31%	27.04%
24	2001-08-12	70.5	@ Esbjerg	2	1476	12.57%	FC Copenhagen	1	1725	63.00%	24.43%
25	2001-10-28	69.8	@ FC Copenhagen	1	1725	48.40%	Midtjylland	1	1643	23.49%	28.11%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2002-04-21	33.0	@ Midtjylland	4	1668	76.28%	Lyngby	0	1274	5.89%	17.83%
2	2002-04-10	33.1	@ Odense	4	1616	71.70%	Lyngby	0	1288	7.87%	20.43%
3	2002-05-01	34.2	Esbjerg	2	1586	69.35%	@ Lyngby	0	1261	9.01%	21.64%
4	2002-04-01	35.6	@ AB Copenhagen	3	1674	74.46%	Lyngby	0	1308	6.64%	18.90%
5	2002-05-12	36.7	Aarhus GF	1	1504	62.88%	@ Lyngby	0	1256	12.64%	24.47%
6	2002-04-14	37.3	FC Copenhagen	3	1830	83.81%	@ Lyngby	0	1277	3.23%	12.96%
7	2002-03-24	37.5	Aalborg	7	1638	67.92%	@ Lyngby	0	1332	9.75%	22.34%
8	2002-03-17	37.7	Silkeborg	5	1578	60.32%	@ Lyngby	0	1358	14.30%	25.38%
9	2002-05-16	38.0	@ Brondby	2	1864	87.70%	Lyngby	0	1251	2.12%	10.18%
10	2002-04-07	38.3	Viborg	5	1598	67.14%	@ Lyngby	1	1301	10.16%	22.69%
11	2002-03-10	38.6	@ Esbjerg	5	1605	63.41%	Lyngby	0	1380	12.32%	24.27%
12	2002-04-28	40.3	@ Silkeborg	5	1611	72.95%	Lyngby	2	1266	7.29%	19.75%
13	2001-11-25	44.3	@ Midtjylland	5	1648	59.57%	Vejle BK	0	1464	14.81%	25.62%
14	2002-04-14	44.8	AB Copenhagen	4	1678	60.05%	@ Vejle BK	0	1461	14.48%	25.47%
15	2001-12-09	44.9	@ Aarhus GF	7	1523	45.39%	Lyngby	0	1465	26.15%	28.46%
16	2001-12-09	45.7	Silkeborg	4	1549	43.92%	@ Vejle BK	0	1474	27.49%	28.60%
17	2001-11-25	45.9	@ Aalborg	4	1586	49.79%	Lyngby	0	1492	22.31%	27.90%
18	2002-05-12	46.0	@ Silkeborg	1	1608	59.55%	Vejle BK	0	1424	14.82%	25.63%
19	2001-08-26	46.8	Brondby	7	1764	65.35%	@ Esbjerg	0	1488	11.17%	23.49%
20	2001-10-21	46.9	@ AB Copenhagen	4	1683	58.00%	Vejle BK	0	1515	15.90%	26.10%
21	2001-11-18	47.9	Aarhus GF	3	1550	41.35%	@ Vejle BK	0	1495	29.88%	28.77%
22	2002-04-21	48.0	@ Viborg	4	1608	58.05%	Vejle BK	1	1440	15.86%	26.08%
23	2002-03-17	48.1	@ Odense	1	1635	59.28%	Vejle BK	0	1453	15.01%	25.71%
24	2001-07-29	48.3	@ Lyngby	2	1554	45.65%	Esbjerg	0	1494	25.91%	28.44%
25	2001-11-04	48.4	@ Brondby	6	1832	70.75%	Vejle BK	1	1517	8.31%	20.93%