2002-03 Superliga Season

198 games

Final

Champion

FC Copenhagen

61 points · 3rd Title

Last Title: 2000-01

Relegated

Koge BK

27 pts

Silkeborg · 36 pts

Biggest Overachiever

Nordsjaelland

12.97 points above expected

51 points · 38.03 expected points

Biggest Disappointment

Brondby

10.48 points below expected

56 points · 66.48 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	FC Copenhagen Champion	33	17	10	6	61	51	32	+19	63.92	-2.92
2	Brondby	33	15	11	7	56	61	35	+26	66.48	-10.48
3	Nordsjaelland	33	16	3	14	51	49	58	-9	38.03	+12.97
4	Odense	33	12	12	9	48	55	50	+5	46.71	+1.29
5	Esbjerg	33	12	11	10	47	65	57	+8	39.52	+7.48
6	Aalborg	33	14	4	15	46	42	45	-3	44.11	+1.89
7	Midtjylland	33	11	11	11	44	49	45	+4	53.81	-9.81
8	Viborg	33	11	10	12	43	58	55	+3	41.05	+1.95
9	AB Copenhagen	33	10	12	11	42	44	48	-4	47.53	-5.53
10	Aarhus GF	33	10	10	13	40	49	59	-10	38.01	+1.99
11	Silkeborg Relegated	33	9	9	15	36	52	54	-2	39.62	-3.62
12	Koge BK Relegated	33	8	3	22	27	45	82	-37	26.65	+0.35

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	Nordsjaelland	51	38.03	+12.97
2	Esbjerg	47	39.52	+7.48
3	Aarhus GF	40	38.01	+1.99
4	Viborg	43	41.05	+1.95
5	Aalborg	46	44.11	+1.89

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Brondby	56	66.48	-10.48
2	Midtjylland	44	53.81	-9.81
3	AB Copenhagen	42	47.53	-5.53
4	Silkeborg	36	39.62	-3.62
5	FC Copenhagen	61	63.92	-2.92

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	Nordsjaelland	4	Dec 1 – Apr 13	1 in 137
2	Koge BK	2	Oct 6 – Oct 20	1 in 66
3	Viborg	3	May 4 – May 18	1 in 62
4	Aalborg	4	Jun 1 – Jun 22	1 in 56
5	Silkeborg	3	Apr 17 – Apr 27	1 in 26

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Koge BK	6	May 18 – Jun 22	1 in 36
2	Viborg	4	Dec 1 – Apr 6	1 in 36
3	Aalborg	4	Apr 27 – May 18	1 in 32
4	Brondby	2	Aug 3 – Aug 10	1 in 28
5	AB Copenhagen	3	Mar 16 – Apr 6	1 in 24

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Aarhus GF	8	Apr 27 – Jun 18	1 in 144
2	Nordsjaelland	7	Dec 1 – Apr 24	1 in 62
3	Viborg	7	Apr 13 – May 18	1 in 49
4	Brondby	17	Nov 10 – Jun 15	1 in 35
5	AB Copenhagen	7	Oct 20 – Dec 1	1 in 34

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Aalborg	7	Nov 17 – Apr 13	1 in 32
2	Midtjylland	5	May 24 – Jun 22	1 in 24
3	Odense	6	Apr 6 – May 4	1 in 21
4	Silkeborg	7	Aug 25 – Oct 6	1 in 14
5	Koge BK	12	Apr 13 – Jun 22	1 in 13

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	1750	61	+11	11	8.3	+2.7
Brondby	1774	56	-6	5	9.9	-4.9
Nordsjaelland	1552	51	-2	7	6.5	+0.5
Odense	1624	48	+4	10	6.8	+3.2
Esbjerg	1585	47	+11	8	6.3	+1.7
Aalborg	1594	46	+19	13	6.8	+6.2
Midtjylland	1663	44	-21	2	8.3	-6.3
Viborg	1594	43	+2	7	6.5	+0.5
AB Copenhagen	1594	42	+5	8	6.7	+1.3
Aarhus GF	1548	40	+6	6	5.9	+0.1
Silkeborg	1573	36	-8	4	6.0	-2.0
Koge BK	1419	27	-22	0	4.4	-4.4

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	KB	MID	NOR	ODE	SIL	VIB
AB Copenhagen	—	2-0-1 3.82	2-1-0 5.00	1-2-0 2.23	0-1-2 4.88	0-2-1 2.40	2-1-0 6.00	0-2-1 3.18	1-0-2 5.03	0-2-1 4.25	2-0-1 4.93	0-1-2 4.19
Aalborg	1-0-2 4.35	—	1-0-2 4.95	1-0-2 2.48	2-0-1 4.16	2-1-0 2.62	2-1-0 5.45	1-0-2 2.95	1-0-2 4.87	1-0-2 3.68	1-1-1 4.77	1-1-1 4.18
Aarhus GF	0-1-2 3.21	2-0-1 3.25	—	1-2-0 2.14	0-2-1 4.19	0-1-2 2.01	1-0-2 5.11	2-1-0 2.50	1-1-1 4.35	2-1-0 3.43	1-0-2 3.69	0-1-2 4.05
Brondby	0-2-1 6.12	2-0-1 5.81	0-2-1 6.22	—	1-2-0 6.44	0-1-2 4.05	2-0-1 7.24	2-1-0 5.34	2-1-0 6.22	2-1-0 5.87	2-0-1 6.16	2-1-0 6.30
Esbjerg	2-1-0 3.31	1-0-2 4.01	1-2-0 3.98	0-2-1 1.96	—	1-1-1 2.45	2-0-1 5.46	2-0-1 3.04	2-0-1 4.10	1-2-0 3.64	0-3-0 3.89	0-0-3 3.90
FC Copenhagen	1-2-0 5.90	0-1-2 5.65	2-1-0 6.38	2-1-0 4.14	1-1-1 5.84	—	3-0-0 6.84	1-2-0 4.71	3-0-0 6.45	1-1-1 5.40	2-0-1 6.44	1-1-1 6.14
Koge BK	0-1-2 2.32	0-1-2 2.79	2-0-1 3.10	1-0-2 1.34	1-0-2 2.80	0-0-3 1.64	—	0-1-2 2.11	1-0-2 2.86	0-0-3 2.10	1-0-2 3.20	2-0-1 2.49
Midtjylland	1-2-0 5.03	2-0-1 5.28	0-1-2 5.79	0-1-2 2.90	1-0-2 5.17	0-2-1 3.48	2-1-0 6.25	—	2-0-1 5.70	0-1-2 4.59	2-1-0 5.53	1-2-0 5.07
Nordsjaelland	2-0-1 3.18	2-0-1 3.34	1-1-1 3.84	0-1-2 2.14	1-0-2 4.08	0-0-3 1.96	2-0-1 5.38	1-0-2 2.58	—	2-1-0 3.37	2-0-1 3.58	3-0-0 3.77
Odense	1-2-0 3.93	2-0-1 4.50	0-1-2 4.75	0-1-2 2.43	0-2-1 4.54	1-1-1 2.83	3-0-0 6.26	2-1-0 3.59	0-1-2 4.81	—	1-2-0 5.05	2-1-0 4.66
Silkeborg	1-0-2 3.26	1-1-1 3.44	2-0-1 4.47	1-0-2 2.19	0-3-0 4.29	1-0-2 1.96	2-0-1 5.00	0-1-2 2.73	1-0-2 4.60	0-2-1 3.16	—	0-2-1 4.20
Viborg	2-1-0 3.98	1-1-1 3.98	2-1-0 4.13	0-1-2 2.07	3-0-0 4.29	1-1-1 2.21	1-0-2 5.82	0-2-1 3.13	0-0-3 4.40	0-1-2 3.51	1-2-0 3.97	—

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	0.13	+4.6
Allowed	0.70	-5.8
Differential	0.71	+4.8

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	4.55%	5.81%	4.80%	2.78%	1.77%	1.01%	20.71%
1	5.81%	14.14%	7.32%	4.80%	2.27%	1.26%	35.61%
2	4.80%	7.32%	7.07%	2.78%	0.51%	—	22.47%
3	2.78%	4.80%	2.78%	0.51%	1.52%	—	12.37%
4	1.77%	2.27%	0.51%	1.52%	0.51%	—	6.57%
5+	1.01%	1.26%	—	—	—	—	2.27%
Total	20.71%	35.61%	22.47%	12.37%	6.57%	2.27%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.57	1.57	+0.00
SD	1.30	1.30	1.95
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	9.09%	6.06%	3.03%	9.09%	3.03%	—	30.30%
1	3.03%	18.18%	9.09%	—	3.03%	—	33.33%
2	3.03%	3.03%	6.06%	—	—	—	12.12%
3	—	15.15%	3.03%	3.03%	—	—	21.21%
4	3.03%	—	—	—	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	18.18%	42.42%	21.21%	12.12%	6.06%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.33	1.45	-0.12
SD	1.22	1.12	1.80
CV	0.91	0.77	—
Max	4	4	+4
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	9.09%	3.03%	3.03%	3.03%	—	21.21%
1	18.18%	6.06%	12.12%	9.09%	—	—	45.45%
2	6.06%	6.06%	3.03%	3.03%	—	—	18.18%
3	3.03%	9.09%	—	—	3.03%	—	15.15%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	30.30%	30.30%	18.18%	15.15%	6.06%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.27	1.36	-0.09
SD	0.98	1.25	1.65
CV	0.77	0.91	—
Max	3	4	+3
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	3.03%	12.12%	—	—	—	18.18%
1	3.03%	9.09%	6.06%	9.09%	6.06%	—	33.33%
2	3.03%	12.12%	18.18%	—	3.03%	—	36.36%
3	—	—	6.06%	—	—	—	6.06%
4	—	6.06%	—	—	—	—	6.06%
5+	—	—	—	—	—	—	—
Total	9.09%	30.30%	42.42%	9.09%	9.09%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.48	1.79	-0.30
SD	1.06	1.05	1.57
CV	0.72	0.59	—
Max	4	4	+3
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	3.03%	—	—	—	—	6.06%
1	3.03%	27.27%	9.09%	6.06%	—	—	45.45%
2	9.09%	15.15%	3.03%	—	—	—	27.27%
3	3.03%	3.03%	—	—	3.03%	—	9.09%
4	9.09%	—	—	—	—	—	9.09%
5+	—	3.03%	—	—	—	—	3.03%
Total	27.27%	51.52%	12.12%	6.06%	3.03%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.85	1.06	+0.79
SD	1.39	0.97	1.83
CV	0.75	0.91	—
Max	7	4	+6
Min	0	0	-2

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	6.06%	6.06%	—	—	3.03%	18.18%
1	3.03%	21.21%	6.06%	—	3.03%	3.03%	36.36%
2	—	3.03%	6.06%	—	—	—	9.09%
3	3.03%	—	6.06%	—	3.03%	—	12.12%
4	—	12.12%	—	3.03%	3.03%	—	18.18%
5+	3.03%	3.03%	—	—	—	—	6.06%
Total	12.12%	45.45%	24.24%	3.03%	9.09%	6.06%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.97	1.73	+0.24
SD	1.67	1.44	2.32
CV	0.85	0.83	—
Max	6	6	+5
Min	0	0	-6

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	3.03%	3.03%	9.09%	—	—	21.21%
1	18.18%	15.15%	—	—	—	—	33.33%
2	3.03%	12.12%	9.09%	3.03%	—	—	27.27%
3	6.06%	3.03%	—	—	—	—	9.09%
4	3.03%	3.03%	—	—	—	—	6.06%
5+	3.03%	—	—	—	—	—	3.03%
Total	39.39%	36.36%	12.12%	12.12%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.55	0.97	+0.58
SD	1.28	1.02	1.84
CV	0.83	1.05	—
Max	5	3	+5
Min	0	0	-3

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.36	2.48	-1.12
SD	1.25	1.56	2.19
CV	0.91	0.63	—
Max	4	6	+3
Min	0	0	-5

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	9.09%	3.03%	—	3.03%	—	18.18%
1	3.03%	21.21%	6.06%	3.03%	3.03%	—	36.36%
2	12.12%	6.06%	6.06%	6.06%	—	—	30.30%
3	3.03%	3.03%	3.03%	3.03%	—	—	12.12%
4	—	—	—	—	—	—	—
5+	3.03%	—	—	—	—	—	3.03%
Total	24.24%	39.39%	18.18%	12.12%	6.06%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.48	1.36	+0.12
SD	1.12	1.17	1.75
CV	0.76	0.86	—
Max	5	4	+5
Min	0	0	-4

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.48	1.76	-0.27
SD	0.97	1.62	1.96
CV	0.65	0.92	—
Max	3	7	+2
Min	0	0	-6

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	3.03%	3.03%	—	3.03%	3.03%	18.18%
1	3.03%	15.15%	9.09%	—	3.03%	—	30.30%
2	6.06%	6.06%	12.12%	3.03%	—	—	27.27%
3	6.06%	9.09%	—	—	—	—	15.15%
4	3.03%	—	—	3.03%	3.03%	—	9.09%
5+	—	—	—	—	—	—	—
Total	24.24%	33.33%	24.24%	6.06%	9.09%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.67	1.52	+0.15
SD	1.22	1.35	1.91
CV	0.73	0.89	—
Max	4	5	+4
Min	0	0	-5

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	9.09%	6.06%	6.06%	—	—	27.27%
1	3.03%	15.15%	9.09%	3.03%	—	—	30.30%
2	—	3.03%	6.06%	6.06%	—	—	15.15%
3	6.06%	3.03%	—	—	6.06%	—	15.15%
4	3.03%	—	—	6.06%	—	—	9.09%
5+	—	3.03%	—	—	—	—	3.03%
Total	18.18%	33.33%	21.21%	21.21%	6.06%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.58	1.64	-0.06
SD	1.44	1.19	1.75
CV	0.91	0.73	—
Max	5	4	+4
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	12.12%	3.03%	3.03%	6.06%	3.03%	—	27.27%
1	—	12.12%	3.03%	12.12%	3.03%	—	30.30%
2	—	3.03%	6.06%	3.03%	—	—	12.12%
3	3.03%	3.03%	9.09%	—	—	—	15.15%
4	—	3.03%	3.03%	—	—	—	6.06%
5+	3.03%	6.06%	—	—	—	—	9.09%
Total	18.18%	30.30%	24.24%	21.21%	6.06%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.76	1.67	+0.09
SD	1.75	1.19	2.32
CV	1.00	0.71	—
Max	6	4	+6
Min	0	0	-4

Games Played: 33

Season Summary

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

Team	Elo	Points	Avg	Luck	Percentile	Min	5th	Q1	Median	Q3	95th	Max
Brondby	1774	56	66.48	-10.48	8.0%	50	54	62	67	71	78	80
FC Copenhagen	1750	61	63.92	-2.92	37.0%	47	49	60	65	69	76	84
Midtjylland	1663	44	53.81	-9.81	7.0%	35	43	50	53	58	66	72
Odense	1624	48	46.71	+1.29	58.0%	31	33	41	46	52	58	71
Aalborg	1594	46	44.11	+1.89	63.0%	22	33	39	44	49	54	60
Viborg	1594	43	41.05	+1.95	64.0%	25	32	36	41	45	52	58
AB Copenhagen	1594	42	47.53	-5.53	25.0%	29	37	42	46	53	59	68
Esbjerg	1585	47	39.52	+7.48	94.0%	24	28	36	41	43	48	57
Silkeborg	1573	36	39.62	-3.62	32.0%	25	28	35	39	44	52	58
Nordsjaelland	1552	51	38.03	+12.97	96.0%	23	28	33	37	43	50	59
Aarhus GF	1548	40	38.01	+1.99	64.0%	21	27	33	38	43	49	55
Koge BK	1419	27	26.65	+0.35	54.0%	11	15	21	27	31	39	50

Point Totals in Context

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

Home-Field Advantage Edge

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

Season Trends

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

Edges & Scoring

How these are measured

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

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

Home Edge

HomeDrawAway

+17.68%

Strong Edge

45.45%26.77%27.78%

Elo Value

Home Edge

233 Elo

0.004 goals per Elo point

062.07600

Scoring Tilt

Expected

+0.43 goals

Neutral

-2+0.27+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

2.1

One-Team Race

134610

Champion Preseason Odds

29%

FC Copenhagen, 2nd of 12

LongshotFavorite

Title Margin

Expected

0.15/gm

Comfortable

00.220.5/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 5.55 * Some Luck: 5.55 to 8.33 * Lucky: 8.33 to 11.1 * Wild Swing: 11.1 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 1.28 * Close: 1.28 to 1.92 * Off: 1.92 to 2.56 * Way Off: 2.56 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 0.82 * A Surprise: 0.82 to 1.31 * Several Surprises: 1.31 to 1.8 * Many Surprises: 1.8 and up.

Luck Spread

Expected

6.42 points

Some Luck

06.9417

Average Finish Error

Expected

2.33

Off

01.604

Biggest Overachiever

Expected 95.83%

96.00%

Nordsjaelland

50100

Biggest Underachiever

Expected 4.17%

7.00%

Midtjylland

050

Season Outliers

Expected

1 of 12

Minimal Outliers

01.26

Unexpected Relegations

Expected

1 of 2

A Surprise

00.82

Parity

How these are measured

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

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

Gini Index

0.10

Balanced

00.120.5

Noll-Scully

Elo SD: 93.34

1.19

Coin-Flip Parity

0.651.351.61.92.5

Interquartile Edge

59%

Slight Edge

50%59%69%100%

Best vs. Worst

Baseline

89%

Dominant

50%87%100%

Close Games

Expected

62%

Very Frequent

0%56%100%

Blowouts

Expected

18%

Occasional

0%20%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

0.64

Hard to Predict

00.602

Matchup Imbalance

0.37

Notable Separation

00.280.370.5

Strangeness

Expected

0.90

As Expected

01.002

Repeatability

0.50

Strong Carryover

00.30.50.631

Upset Rate

Expected

30%

Upset-Prone

0%23%50%

Clear Favorite Upset Rate

Expected

25%

Shaky Favorites

0%20%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 0.19 * Above Noise: 0.19 to 0.25 * Well Above Noise: 0.25 and up.

Probability calibration

0.25

Well Calibrated

0.010.050.10.51

Calibration slope

Ideal

0.57

Overconfident

0.4368561.001.56314

Calibration error (ECE)

Noise ceiling

0.102

Well Within Noise

00.1240.3

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
FC Copenhagen	29.00%	52.00%	11.00%	5.00%	1.00%	1.00%	1.00%	—	—	—	—	—
Brondby	63.00%	23.00%	10.00%	3.00%	1.00%	—	—	—	—	—	—	—
Nordsjaelland	—	1.00%	2.00%	5.00%	2.00%	7.00%	8.00%	10.00%	13.00%	22.00%	24.00%	6.00%
Odense	1.00%	3.00%	14.00%	15.00%	20.00%	9.00%	12.00%	11.00%	9.00%	2.00%	4.00%	—
Esbjerg	—	—	2.00%	3.00%	9.00%	8.00%	18.00%	22.00%	11.00%	14.00%	7.00%	6.00%
Aalborg	—	2.00%	6.00%	17.00%	9.00%	17.00%	15.00%	12.00%	7.00%	8.00%	5.00%	2.00%
Midtjylland	5.00%	11.00%	39.00%	20.00%	14.00%	5.00%	3.00%	1.00%	1.00%	1.00%	—	—
Viborg	—	3.00%	—	8.00%	8.00%	18.00%	9.00%	11.00%	15.00%	18.00%	9.00%	1.00%
AB Copenhagen	2.00%	5.00%	14.00%	13.00%	14.00%	17.00%	10.00%	12.00%	8.00%	4.00%	—	1.00%
Aarhus GF	—	—	1.00%	3.00%	13.00%	5.00%	10.00%	9.00%	16.00%	16.00%	23.00%	4.00%
Silkeborg	—	—	1.00%	8.00%	8.00%	12.00%	11.00%	11.00%	15.00%	14.00%	13.00%	7.00%
Koge BK	—	—	—	—	1.00%	1.00%	3.00%	1.00%	5.00%	1.00%	15.00%	73.00%

Points Required Per Position

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

Next-Season Status

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

Team	Same level	Direct relegation
Brondby	100%	—
FC Copenhagen	100%	—
Midtjylland	100%	—
AB Copenhagen	99.00%	1.00%
Odense	96.00%	4.00%
Aalborg	93.00%	7.00%
Viborg	90.00%	10.00%
Esbjerg	87.00%	13.00%
Silkeborg	80.00%	20.00%
Aarhus GF	73.00%	27.00%
Nordsjaelland	70.00%	30.00%
Koge BK	12.00%	88.00%

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
2002-07-27	Brondby	L 0-3	48.0	1554	1769	19.35%	24.05%	56.60%	-0.66	-6.8	0
2002-07-27	@ Silkeborg	W 3-0	48.0	1769	1554	56.60%	24.05%	19.35%	+0.66	+6.8	3
2002-07-28	Aalborg	L 1-2	61.7	1548	1601	37.11%	28.38%	34.51%	+0.04	-4.1	0
2002-07-28	@ Esbjerg	W 2-1	61.7	1601	1548	34.51%	28.38%	37.11%	-0.04	+4.1	3
2002-07-28	Koge BK	D 2-2	71.6	1621	1451	65.99%	19.63%	14.37%	+0.99	-1.0	1
2002-07-28	@ AB Copenhagen	D 2-2	71.6	1451	1621	14.37%	19.63%	65.99%	-0.99	+0.9	1
2002-07-28	Midtjylland	W 2-0	56.4	1606	1683	33.72%	28.35%	37.93%	-0.06	+8.3	3
2002-07-28	@ Odense	L 0-2	56.4	1683	1606	37.93%	28.35%	33.72%	+0.06	-8.3	0
2002-07-28	Nordsjaelland	W 2-0	47.3	1560	1530	48.63%	26.72%	24.64%	+0.39	+5.9	3
2002-07-28	@ Aarhus GF	L 0-2	47.3	1530	1560	24.64%	26.72%	48.63%	-0.39	-5.9	0
2002-07-28	Viborg	D 2-2	77.8	1765	1583	67.37%	18.91%	13.73%	+1.05	-1.0	1
2002-07-28	@ FC Copenhagen	D 2-2	77.8	1583	1765	13.73%	18.91%	67.37%	-1.05	+1.0	1
2002-08-03	AB Copenhagen	L 1-3	68.8	1776	1620	64.47%	20.42%	15.11%	+0.94	-10.7	3
2002-08-03	@ Brondby	W 3-1	68.8	1620	1776	15.11%	20.42%	64.47%	-0.94	+10.7	4
2002-08-04	Aalborg	W 2-0	50.2	1674	1605	53.93%	25.08%	21.00%	+0.57	+5.1	3
2002-08-04	@ Midtjylland	L 0-2	50.2	1605	1674	21.00%	25.08%	53.93%	-0.57	-5.1	3
2002-08-04	Esbjerg	D 2-2	70.6	1566	1544	47.62%	26.98%	25.40%	+0.36	-0.4	4
2002-08-04	@ Aarhus GF	D 2-2	70.6	1544	1566	25.40%	26.98%	47.62%	-0.36	+0.4	1
2002-08-04	FC Copenhagen	L 1-3	50.6	1452	1764	13.45%	18.59%	67.97%	-1.07	-2.6	1
2002-08-04	@ Koge BK	W 3-1	50.6	1764	1452	67.97%	18.59%	13.45%	+1.07	+2.6	4
2002-08-04	Silkeborg	D 2-2	72.7	1614	1548	53.49%	25.23%	21.28%	+0.55	-0.6	4
2002-08-04	@ Odense	D 2-2	72.7	1548	1614	21.28%	25.23%	53.49%	-0.55	+0.6	1
2002-08-04	Viborg	W 3-2	65.3	1524	1584	36.18%	28.39%	35.42%	+0.01	+3.7	3
2002-08-04	@ Nordsjaelland	L 2-3	65.3	1584	1524	35.42%	28.39%	36.18%	-0.01	-3.7	1
2002-08-10	Brondby	W 3-1	66.0	1600	1765	23.46%	26.27%	50.27%	-0.45	+8.9	6
2002-08-10	@ Aalborg	L 1-3	66.0	1765	1600	50.27%	26.27%	23.46%	+0.45	-8.9	3
2002-08-11	Aarhus GF	W 1-0	53.2	1548	1565	42.25%	27.98%	29.78%	+0.19	+3.7	4
2002-08-11	@ Silkeborg	L 0-1	53.2	1565	1548	29.78%	27.98%	42.25%	-0.19	-3.7	4
2002-08-11	Koge BK	L 3-4	69.5	1544	1449	57.06%	23.86%	19.08%	+0.67	-5.2	1
2002-08-11	@ Esbjerg	W 4-3	69.5	1449	1544	19.08%	23.86%	57.06%	-0.67	+5.2	4
2002-08-11	Midtjylland	D 1-1	68.2	1580	1679	30.74%	28.11%	41.15%	-0.16	+0.2	2
2002-08-11	@ Viborg	D 1-1	68.2	1679	1580	41.15%	28.11%	30.74%	+0.16	-0.2	4
2002-08-11	Nordsjaelland	W 2-1	53.0	1766	1528	73.30%	15.63%	11.07%	+1.29	+1.2	7
2002-08-11	@ FC Copenhagen	L 1-2	53.0	1528	1766	11.07%	15.63%	73.30%	-1.29	-1.2	3
2002-08-11	Odense	L 0-4	55.7	1631	1613	46.95%	27.13%	25.91%	+0.34	-18.4	4
2002-08-11	@ AB Copenhagen	W 4-0	55.7	1613	1631	25.91%	27.13%	46.95%	-0.34	+18.5	7
2002-08-17	Esbjerg	L 3-4	69.1	1527	1539	42.94%	27.88%	29.18%	+0.22	-4.2	3
2002-08-17	@ Nordsjaelland	W 4-3	69.1	1539	1527	29.18%	27.88%	42.94%	-0.22	+4.2	4
2002-08-18	AB Copenhagen	W 1-0	55.4	1608	1612	44.09%	27.70%	28.21%	+0.25	+3.5	9
2002-08-18	@ Aalborg	L 0-1	55.4	1612	1608	28.21%	27.70%	44.09%	-0.25	-3.5	4
2002-08-18	FC Copenhagen	D 2-2	75.7	1679	1767	32.19%	28.25%	39.56%	-0.11	+0.1	5
2002-08-18	@ Midtjylland	D 2-2	75.7	1767	1679	39.56%	28.25%	32.19%	+0.11	-0.1	8
2002-08-18	Odense	W 3-2	68.2	1561	1632	34.61%	28.38%	37.01%	-0.04	+3.9	7
2002-08-18	@ Aarhus GF	L 2-3	68.2	1632	1561	37.01%	28.38%	34.61%	+0.04	-3.9	7
2002-08-18	Silkeborg	L 0-4	44.2	1455	1552	31.03%	28.14%	40.83%	-0.15	-13.5	4
2002-08-18	@ Koge BK	W 4-0	44.2	1552	1455	40.83%	28.14%	31.03%	+0.15	+13.5	7
2002-08-18	Viborg	W 4-0	44.7	1757	1580	66.75%	19.23%	14.01%	+1.02	+6.1	6
2002-08-18	@ Brondby	L 0-4	44.7	1580	1757	14.01%	19.23%	66.75%	-1.02	-6.1	2
2002-08-24	Brondby	W 2-1	63.1	1767	1763	45.25%	27.49%	27.26%	+0.29	+3.2	11
2002-08-24	@ FC Copenhagen	L 1-2	63.1	1763	1767	27.26%	27.49%	45.25%	-0.29	-3.2	6
2002-08-25	Aalborg	D 2-2	72.4	1574	1612	39.27%	28.27%	32.46%	+0.10	-0.1	3
2002-08-25	@ Viborg	D 2-2	72.4	1612	1574	32.46%	28.27%	39.27%	-0.10	+0.1	10
2002-08-25	Aarhus GF	D 2-2	72.7	1609	1565	50.47%	26.21%	23.32%	+0.45	-0.5	5
2002-08-25	@ AB Copenhagen	D 2-2	72.7	1565	1609	23.32%	26.21%	50.47%	-0.45	+0.5	8
2002-08-25	Koge BK	W 2-1	49.2	1628	1441	67.92%	18.61%	13.47%	+1.07	+1.5	10
2002-08-25	@ Odense	L 1-2	49.2	1441	1628	13.47%	18.61%	67.92%	-1.07	-1.5	4
2002-08-25	Midtjylland	W 3-2	71.2	1543	1679	26.43%	27.28%	46.30%	-0.32	+4.6	7
2002-08-25	@ Esbjerg	L 2-3	71.2	1679	1543	46.30%	27.28%	26.43%	+0.32	-4.6	5
2002-08-25	Nordsjaelland	L 0-1	58.0	1566	1523	50.42%	26.23%	23.35%	+0.45	-5.5	7
2002-08-25	@ Silkeborg	W 1-0	58.0	1523	1566	23.35%	26.23%	50.42%	-0.45	+5.5	6
2002-08-31	Aarhus GF	W 2-0	50.5	1440	1566	27.55%	27.56%	44.89%	-0.27	+9.4	7
2002-08-31	@ Koge BK	L 0-2	50.5	1566	1440	44.89%	27.56%	27.55%	+0.27	-9.4	8
2002-09-01	AB Copenhagen	W 2-1	61.0	1574	1608	39.80%	28.23%	31.97%	+0.12	+3.7	6
2002-09-01	@ Viborg	L 1-2	61.0	1608	1574	31.97%	28.23%	39.80%	-0.12	-3.7	5
2002-09-01	Esbjerg	D 1-1	72.2	1759	1547	70.61%	17.14%	12.25%	+1.18	-1.4	7
2002-09-01	@ Brondby	D 1-1	72.2	1547	1759	12.25%	17.14%	70.61%	-1.18	+1.4	8
2002-09-01	FC Copenhagen	W 3-0	58.3	1612	1771	24.17%	26.55%	49.28%	-0.41	+14.7	13
2002-09-01	@ Aalborg	L 0-3	58.3	1771	1612	49.28%	26.55%	24.17%	+0.41	-14.7	11
2002-09-01	Odense	W 2-1	63.2	1528	1630	30.48%	28.07%	41.44%	-0.17	+4.4	9
2002-09-01	@ Nordsjaelland	L 1-2	63.2	1630	1528	41.44%	28.07%	30.48%	+0.17	-4.4	10
2002-09-01	Silkeborg	W 2-0	47.8	1675	1560	59.55%	22.78%	17.66%	+0.76	+4.2	8
2002-09-01	@ Midtjylland	L 0-2	47.8	1560	1675	17.66%	22.78%	59.55%	-0.76	-4.2	7
2002-09-08	Aalborg	W 3-0	50.7	1625	1627	44.39%	27.65%	27.96%	+0.26	+9.5	13
2002-09-08	@ Odense	L 0-3	50.7	1627	1625	27.96%	27.65%	44.39%	-0.26	-9.5	13
2002-09-08	Brondby	D 2-2	75.7	1556	1758	20.38%	24.71%	54.91%	-0.60	+0.6	9
2002-09-08	@ Aarhus GF	D 2-2	75.7	1758	1556	54.91%	24.71%	20.38%	+0.60	-0.6	8
2002-09-08	FC Copenhagen	W 3-0	58.8	1549	1756	19.95%	24.45%	55.60%	-0.62	+16.1	11
2002-09-08	@ Esbjerg	L 0-3	58.8	1756	1549	55.60%	24.45%	19.95%	+0.62	-16.1	11
2002-09-08	Midtjylland	L 2-3	59.3	1449	1679	18.27%	23.27%	58.47%	-0.72	-2.1	7
2002-09-08	@ Koge BK	W 3-2	59.3	1679	1449	58.47%	23.27%	18.27%	+0.72	+2.1	11
2002-09-08	Nordsjaelland	W 2-0	47.1	1604	1532	54.22%	24.97%	20.81%	+0.57	+5.0	8
2002-09-08	@ AB Copenhagen	L 0-2	47.1	1532	1604	20.81%	24.97%	54.22%	-0.57	-5.0	9
2002-09-08	Viborg	D 1-1	65.4	1556	1578	41.55%	28.06%	30.38%	+0.17	-0.3	8
2002-09-08	@ Silkeborg	D 1-1	65.4	1578	1556	30.38%	28.06%	41.55%	-0.17	+0.2	7
2002-09-14	Koge BK	W 1-0	44.3	1527	1447	55.30%	24.56%	20.14%	+0.61	+2.6	12
2002-09-14	@ Nordsjaelland	L 0-1	44.3	1447	1527	20.14%	24.56%	55.30%	-0.61	-2.6	7
2002-09-15	Aarhus GF	L 1-2	69.0	1681	1557	60.68%	22.27%	17.05%	+0.80	-5.9	11
2002-09-15	@ Midtjylland	W 2-1	69.0	1557	1681	17.05%	22.27%	60.68%	-0.80	+5.9	12
2002-09-15	AB Copenhagen	W 1-0	52.1	1740	1610	61.43%	21.92%	16.65%	+0.82	+2.1	14
2002-09-15	@ FC Copenhagen	L 0-1	52.1	1610	1740	16.65%	21.92%	61.43%	-0.82	-2.1	8
2002-09-15	Esbjerg	W 6-0	48.8	1578	1565	46.38%	27.26%	26.36%	+0.32	+17.4	10
2002-09-15	@ Viborg	L 0-6	48.8	1565	1578	26.36%	27.26%	46.38%	-0.32	-17.4	11
2002-09-15	Odense	W 2-0	49.4	1757	1635	60.52%	22.35%	17.14%	+0.79	+4.1	11
2002-09-15	@ Brondby	L 0-2	49.4	1635	1757	17.14%	22.35%	60.52%	-0.79	-4.1	13
2002-09-15	Silkeborg	W 1-0	51.7	1617	1556	52.88%	25.44%	21.68%	+0.53	+2.8	16
2002-09-15	@ Aalborg	L 0-1	51.7	1556	1617	21.68%	25.44%	52.88%	-0.53	-2.8	8
2002-09-21	Nordsjaelland	L 1-3	63.6	1620	1530	56.49%	24.09%	19.41%	+0.65	-9.7	16
2002-09-21	@ Aalborg	W 3-1	63.6	1530	1620	19.41%	24.09%	56.49%	-0.65	+9.7	15
2002-09-22	Aarhus GF	W 2-0	46.6	1742	1563	67.04%	19.08%	13.88%	+1.03	+3.2	17
2002-09-22	@ FC Copenhagen	L 0-2	46.6	1563	1742	13.88%	19.08%	67.04%	-1.03	-3.2	12
2002-09-22	Koge BK	L 1-4	58.8	1595	1444	63.85%	20.73%	15.42%	+0.91	-15.0	10
2002-09-22	@ Viborg	W 4-1	58.8	1444	1595	15.42%	20.73%	63.85%	-0.91	+15.0	10
2002-09-22	Midtjylland	W 4-0	48.7	1761	1675	56.04%	24.28%	19.69%	+0.64	+9.0	14
2002-09-22	@ Brondby	L 0-4	48.7	1675	1761	19.69%	24.28%	56.04%	-0.64	-9.0	11
2002-09-22	Odense	W 5-0	52.8	1548	1631	32.88%	28.30%	38.81%	-0.09	+19.7	14
2002-09-22	@ Esbjerg	L 0-5	52.8	1631	1548	38.81%	28.30%	32.88%	+0.09	-19.7	13
2002-09-22	Silkeborg	W 1-0	51.6	1607	1553	51.96%	25.75%	22.29%	+0.50	+2.8	11
2002-09-22	@ AB Copenhagen	L 0-1	51.6	1553	1607	22.29%	25.75%	51.96%	-0.50	-2.8	8
2002-09-28	Viborg	L 1-3	60.0	1560	1580	41.75%	28.04%	30.21%	+0.18	-7.7	12
2002-09-28	@ Aarhus GF	W 3-1	60.0	1580	1560	30.21%	28.04%	41.75%	-0.18	+7.7	13
2002-09-29	Aalborg	L 0-2	46.7	1459	1610	24.92%	26.82%	48.25%	-0.38	-6.0	10
2002-09-29	@ Koge BK	W 2-0	46.7	1610	1459	48.25%	26.82%	24.92%	+0.38	+6.0	19
2002-09-29	AB Copenhagen	D 1-1	69.2	1666	1610	52.13%	25.69%	22.18%	+0.51	-0.7	12
2002-09-29	@ Midtjylland	D 1-1	69.2	1610	1666	22.18%	25.69%	52.13%	-0.51	+0.7	12
2002-09-29	Brondby	L 1-2	57.6	1540	1770	18.21%	23.22%	58.56%	-0.72	-2.2	15
2002-09-29	@ Nordsjaelland	W 2-1	57.6	1770	1540	58.56%	23.22%	18.21%	+0.72	+2.2	17
2002-09-29	Esbjerg	D 1-1	64.9	1550	1567	42.18%	27.98%	29.84%	+0.19	-0.3	9
2002-09-29	@ Silkeborg	D 1-1	64.9	1567	1550	29.84%	27.98%	42.18%	-0.19	+0.3	15
2002-09-29	FC Copenhagen	L 0-1	56.8	1611	1745	26.68%	27.34%	45.98%	-0.31	-3.4	13
2002-09-29	@ Odense	W 1-0	56.8	1745	1611	45.98%	27.34%	26.68%	+0.31	+3.4	20
2002-10-04	Aarhus GF	L 1-2	66.1	1616	1552	53.20%	25.33%	21.47%	+0.54	-5.4	19
2002-10-04	@ Aalborg	W 2-1	66.1	1552	1616	21.47%	25.33%	53.20%	-0.54	+5.4	15
2002-10-06	Esbjerg	L 1-2	65.9	1611	1568	50.49%	26.21%	23.30%	+0.45	-5.1	12
2002-10-06	@ AB Copenhagen	W 2-1	65.9	1568	1611	23.30%	26.21%	50.49%	-0.45	+5.1	18
2002-10-06	Koge BK	L 1-2	71.5	1773	1453	80.65%	11.38%	7.97%	+1.63	-7.2	17
2002-10-06	@ Brondby	W 2-1	71.5	1453	1773	7.97%	11.38%	80.65%	-1.63	+7.1	13
2002-10-06	Nordsjaelland	W 1-0	49.9	1665	1538	61.14%	22.05%	16.80%	+0.81	+2.1	15
2002-10-06	@ Midtjylland	L 0-1	49.9	1538	1665	16.80%	22.05%	61.14%	-0.81	-2.1	15
2002-10-06	Silkeborg	W 2-1	54.3	1748	1550	69.20%	17.92%	12.88%	+1.12	+1.5	23
2002-10-06	@ FC Copenhagen	L 1-2	54.3	1550	1748	12.88%	17.92%	69.20%	-1.12	-1.4	9
2002-10-06	Viborg	W 3-0	48.7	1608	1588	47.31%	27.05%	25.64%	+0.35	+8.9	16
2002-10-06	@ Odense	L 0-3	48.7	1588	1608	25.64%	27.05%	47.31%	-0.35	-8.9	13
2002-10-19	Midtjylland	D 1-1	71.0	1750	1668	55.53%	24.47%	19.99%	+0.62	-0.9	24
2002-10-19	@ FC Copenhagen	D 1-1	71.0	1668	1750	19.99%	24.47%	55.53%	-0.62	+0.9	16
2002-10-20	Brondby	D 1-1	70.1	1606	1766	24.05%	26.51%	49.44%	-0.42	+0.6	13
2002-10-20	@ AB Copenhagen	D 1-1	70.1	1766	1606	49.44%	26.51%	24.05%	+0.42	-0.6	18
2002-10-20	Koge BK	L 1-3	59.3	1557	1461	57.35%	23.74%	18.91%	+0.68	-9.8	15
2002-10-20	@ Aarhus GF	W 3-1	59.3	1461	1557	18.91%	23.74%	57.35%	-0.68	+9.8	16
2002-10-20	Nordsjaelland	L 0-2	55.3	1573	1535	49.68%	26.44%	23.88%	+0.43	-10.2	18
2002-10-20	@ Esbjerg	W 2-0	55.3	1535	1573	23.88%	26.44%	49.68%	-0.43	+10.2	18
2002-10-20	Odense	D 0-0	62.9	1579	1616	39.33%	28.27%	32.40%	+0.11	-0.2	14
2002-10-20	@ Viborg	D 0-0	62.9	1616	1579	32.40%	28.27%	39.33%	-0.11	+0.2	17
2002-10-20	Silkeborg	L 3-4	74.4	1611	1548	53.01%	25.40%	21.59%	+0.53	-4.9	19
2002-10-20	@ Aalborg	W 4-3	74.4	1548	1611	21.59%	25.40%	53.01%	-0.53	+4.9	12
2002-10-26	FC Copenhagen	L 0-3	49.8	1579	1749	23.06%	26.10%	50.84%	-0.46	-8.1	14
2002-10-26	@ Viborg	W 3-0	49.8	1749	1579	50.84%	26.10%	23.06%	+0.46	+8.1	27
2002-10-27	Aalborg	W 1-0	51.2	1765	1606	64.79%	20.26%	14.95%	+0.95	+1.8	21
2002-10-27	@ Brondby	L 0-1	51.2	1606	1765	14.95%	20.26%	64.79%	-0.95	-1.8	19
2002-10-27	Aarhus GF	W 2-1	57.0	1553	1548	45.37%	27.47%	27.16%	+0.29	+3.2	15
2002-10-27	@ Silkeborg	L 1-2	57.0	1548	1553	27.16%	27.47%	45.37%	-0.29	-3.2	15
2002-10-27	AB Copenhagen	D 0-0	63.8	1617	1606	46.01%	27.34%	26.65%	+0.31	-0.5	18
2002-10-27	@ Odense	D 0-0	63.8	1606	1617	26.65%	27.34%	46.01%	-0.31	+0.5	14
2002-10-27	Esbjerg	L 1-4	51.2	1470	1563	31.68%	28.21%	40.11%	-0.13	-8.9	16
2002-10-27	@ Koge BK	W 4-1	51.2	1563	1470	40.11%	28.21%	31.68%	+0.13	+8.9	21
2002-10-27	Midtjylland	W 1-0	60.1	1546	1668	27.94%	27.64%	44.42%	-0.26	+4.9	21
2002-10-27	@ Nordsjaelland	L 0-1	60.1	1668	1546	44.42%	27.64%	27.94%	+0.26	-5.0	16
2002-11-02	Brondby	W 2-1	69.6	1544	1767	18.81%	23.67%	57.52%	-0.69	+5.7	18
2002-11-02	@ Aarhus GF	L 1-2	69.6	1767	1544	57.52%	23.67%	18.81%	+0.69	-5.7	21
2002-11-03	Koge BK	W 5-0	40.4	1663	1462	69.54%	17.73%	12.73%	+1.13	+6.7	19
2002-11-03	@ Midtjylland	L 0-5	40.4	1462	1663	12.73%	17.73%	69.54%	-1.13	-6.7	16
2002-11-03	Nordsjaelland	W 4-0	43.4	1757	1551	70.04%	17.46%	12.51%	+1.15	+5.3	30
2002-11-03	@ FC Copenhagen	L 0-4	43.4	1551	1757	12.51%	17.46%	70.04%	-1.15	-5.3	21
2002-11-03	Odense	W 2-1	60.9	1604	1616	42.92%	27.88%	29.20%	+0.21	+3.4	22
2002-11-03	@ Aalborg	L 1-2	60.9	1616	1604	29.20%	27.88%	42.92%	-0.21	-3.4	18
2002-11-03	Silkeborg	D 1-1	65.5	1571	1556	46.68%	27.20%	26.13%	+0.33	-0.5	22
2002-11-03	@ Esbjerg	D 1-1	65.5	1556	1571	26.13%	27.20%	46.68%	-0.33	+0.5	16
2002-11-03	Viborg	D 1-1	67.1	1607	1571	49.52%	26.48%	23.99%	+0.42	-0.6	15
2002-11-03	@ AB Copenhagen	D 1-1	67.1	1571	1607	23.99%	26.48%	49.52%	-0.42	+0.6	15
2002-11-09	Aalborg	L 1-3	60.5	1571	1607	39.53%	28.25%	32.22%	+0.11	-7.4	15
2002-11-09	@ Viborg	W 3-1	60.5	1607	1571	32.22%	28.25%	39.53%	-0.11	+7.4	25
2002-11-10	Aarhus GF	D 2-2	72.7	1613	1550	53.01%	25.40%	21.59%	+0.53	-0.6	19
2002-11-10	@ Odense	D 2-2	72.7	1550	1613	21.59%	25.40%	53.01%	-0.53	+0.6	19
2002-11-10	Esbjerg	D 1-1	72.1	1761	1571	68.26%	18.43%	13.31%	+1.08	-1.3	22
2002-11-10	@ Brondby	D 1-1	72.1	1571	1761	13.31%	18.43%	68.26%	-1.08	+1.3	23
2002-11-10	FC Copenhagen	D 0-0	66.0	1606	1762	24.40%	26.64%	48.96%	-0.40	+0.6	16
2002-11-10	@ AB Copenhagen	D 0-0	66.0	1762	1606	48.96%	26.64%	24.40%	+0.40	-0.6	31
2002-11-10	Midtjylland	D 1-1	67.7	1557	1670	29.05%	27.86%	43.09%	-0.22	+0.3	17
2002-11-10	@ Silkeborg	D 1-1	67.7	1670	1557	43.09%	27.86%	29.05%	+0.22	-0.3	20
2002-11-10	Nordsjaelland	W 4-2	59.1	1455	1545	31.92%	28.23%	39.85%	-0.12	+6.7	19
2002-11-10	@ Koge BK	L 2-4	59.1	1545	1455	39.85%	28.23%	31.92%	+0.12	-6.7	21
2002-11-16	Odense	D 4-4	78.8	1572	1612	38.99%	28.29%	32.72%	+0.10	-0.1	24
2002-11-16	@ Esbjerg	D 4-4	78.8	1612	1572	32.72%	28.29%	38.99%	-0.10	+0.1	20
2002-11-17	AB Copenhagen	L 0-4	55.0	1615	1607	45.69%	27.40%	26.91%	+0.30	-18.1	25
2002-11-17	@ Aalborg	W 4-0	55.0	1607	1615	26.91%	27.40%	45.69%	-0.30	+18.1	19
2002-11-17	Brondby	D 1-1	69.9	1670	1760	31.97%	28.23%	39.79%	-0.12	+0.2	21
2002-11-17	@ Midtjylland	D 1-1	69.9	1760	1670	39.79%	28.23%	31.97%	+0.12	-0.2	23
2002-11-17	Koge BK	W 1-0	45.0	1762	1462	79.06%	12.31%	8.63%	+1.55	+0.9	34
2002-11-17	@ FC Copenhagen	L 0-1	45.0	1462	1762	8.63%	12.31%	79.06%	-1.55	-0.9	19
2002-11-17	Silkeborg	W 3-2	63.2	1539	1557	42.00%	28.01%	29.99%	+0.19	+3.3	24
2002-11-17	@ Nordsjaelland	L 2-3	63.2	1557	1539	29.99%	28.01%	42.00%	-0.19	-3.3	17
2002-11-17	Viborg	L 2-4	63.9	1551	1564	42.74%	27.91%	29.35%	+0.21	-7.0	19
2002-11-17	@ Aarhus GF	W 4-2	63.9	1564	1551	29.35%	27.91%	42.74%	-0.21	+7.0	18
2002-11-23	Nordsjaelland	W 7-1	46.6	1760	1542	71.20%	16.81%	11.99%	+1.20	+6.1	26
2002-11-23	@ Brondby	L 1-7	46.6	1542	1760	11.99%	16.81%	71.20%	-1.20	-6.1	24
2002-11-24	Aarhus GF	W 3-1	53.3	1625	1544	55.41%	24.52%	20.07%	+0.62	+4.2	22
2002-11-24	@ AB Copenhagen	L 1-3	53.3	1544	1625	20.07%	24.52%	55.41%	-0.62	-4.2	19
2002-11-24	Esbjerg	W 4-1	53.6	1571	1572	44.43%	27.64%	27.93%	+0.26	+8.0	21
2002-11-24	@ Viborg	L 1-4	53.6	1572	1571	27.93%	27.64%	44.43%	-0.26	-8.0	24
2002-11-24	FC Copenhagen	D 1-1	70.0	1597	1763	23.46%	26.27%	50.27%	-0.45	+0.6	26
2002-11-24	@ Aalborg	D 1-1	70.0	1763	1597	50.27%	26.27%	23.46%	+0.45	-0.6	35
2002-11-24	Koge BK	L 3-4	70.3	1554	1461	56.91%	23.92%	19.17%	+0.67	-5.2	17
2002-11-24	@ Silkeborg	W 4-3	70.3	1461	1554	19.17%	23.92%	56.91%	-0.67	+5.2	22
2002-11-24	Midtjylland	W 1-0	58.8	1612	1670	36.43%	28.39%	35.18%	+0.02	+4.2	23
2002-11-24	@ Odense	L 0-1	58.8	1670	1612	35.18%	28.39%	36.43%	-0.02	-4.2	21
2002-11-30	Brondby	L 0-2	45.6	1466	1766	14.05%	19.28%	66.67%	-1.02	-3.2	22
2002-11-30	@ Koge BK	W 2-0	45.6	1766	1466	66.67%	19.28%	14.05%	+1.02	+3.2	29
2002-12-01	Aalborg	W 1-0	55.7	1539	1597	36.39%	28.39%	35.22%	+0.02	+4.2	22
2002-12-01	@ Aarhus GF	L 0-1	55.7	1597	1539	35.22%	28.39%	36.39%	-0.02	-4.2	26
2002-12-01	AB Copenhagen	D 1-1	66.9	1564	1629	35.38%	28.39%	36.23%	-0.01	+0.0	25
2002-12-01	@ Esbjerg	D 1-1	66.9	1629	1564	36.23%	28.39%	35.38%	+0.01	-0.0	23
2002-12-01	Odense	W 2-1	62.2	1536	1616	33.21%	28.32%	38.46%	-0.08	+4.2	27
2002-12-01	@ Nordsjaelland	L 1-2	62.2	1616	1536	38.46%	28.32%	33.21%	+0.08	-4.2	23
2002-12-01	Silkeborg	W 3-0	43.6	1762	1549	70.76%	17.06%	12.19%	+1.18	+3.9	38
2002-12-01	@ FC Copenhagen	L 0-3	43.6	1549	1762	12.19%	17.06%	70.76%	-1.18	-3.9	17
2002-12-01	Viborg	W 3-1	54.7	1666	1579	56.09%	24.25%	19.65%	+0.64	+4.1	24
2002-12-01	@ Midtjylland	L 1-3	54.7	1579	1666	19.65%	24.25%	56.09%	-0.64	-4.1	21
2003-03-15	Viborg	W 2-1	55.0	1769	1575	68.68%	18.20%	13.12%	+1.10	+1.5	32
2003-03-15	@ Brondby	L 1-2	55.0	1575	1769	13.12%	18.20%	68.68%	-1.10	-1.5	21
2003-03-16	Aalborg	D 1-1	63.0	1463	1593	27.05%	27.44%	45.51%	-0.29	+0.4	23
2003-03-16	@ Koge BK	D 1-1	63.0	1593	1463	45.51%	27.44%	27.05%	+0.29	-0.4	27
2003-03-16	AB Copenhagen	W 3-0	52.6	1545	1629	32.69%	28.29%	39.02%	-0.10	+12.3	20
2003-03-16	@ Silkeborg	L 0-3	52.6	1629	1545	39.02%	28.29%	32.69%	+0.10	-12.3	23
2003-03-16	Esbjerg	W 2-0	48.1	1670	1564	58.45%	23.27%	18.28%	+0.72	+4.4	27
2003-03-16	@ Midtjylland	L 0-2	48.1	1564	1670	18.28%	23.27%	58.45%	-0.72	-4.4	25
2003-03-16	FC Copenhagen	W 2-0	60.1	1612	1766	24.64%	26.72%	48.64%	-0.39	+10.0	26
2003-03-16	@ Odense	L 0-2	60.1	1766	1612	48.64%	26.72%	24.64%	+0.39	-10.0	38
2003-03-22	Silkeborg	W 2-0	45.8	1770	1557	70.75%	17.06%	12.19%	+1.18	+2.7	35
2003-03-22	@ Brondby	L 0-2	45.8	1557	1770	12.19%	17.06%	70.75%	-1.18	-2.7	20
2003-03-23	Esbjerg	L 0-1	59.7	1593	1560	49.10%	26.60%	24.30%	+0.41	-5.3	27
2003-03-23	@ Aalborg	W 1-0	59.7	1560	1593	24.30%	26.60%	49.10%	-0.41	+5.3	28
2003-03-23	FC Copenhagen	D 2-2	75.7	1544	1756	19.54%	24.18%	56.28%	-0.64	+0.7	23
2003-03-23	@ Aarhus GF	D 2-2	75.7	1756	1544	56.28%	24.18%	19.54%	+0.64	-0.7	39
2003-03-23	Koge BK	W 3-1	47.9	1622	1463	64.81%	20.25%	14.94%	+0.95	+3.0	29
2003-03-23	@ Odense	L 1-3	47.9	1463	1622	14.94%	20.25%	64.81%	-0.95	-3.0	23
2003-03-23	Midtjylland	L 0-3	54.1	1617	1674	36.48%	28.39%	35.13%	+0.02	-11.7	23
2003-03-23	@ AB Copenhagen	W 3-0	54.1	1674	1617	35.13%	28.39%	36.48%	-0.02	+11.7	30
2003-03-24	Nordsjaelland	L 1-3	61.0	1573	1540	49.17%	26.58%	24.25%	+0.41	-8.7	21
2003-03-24	@ Viborg	W 3-1	61.0	1540	1573	24.25%	26.58%	49.17%	-0.41	+8.7	30
2003-04-05	Aalborg	W 2-1	57.4	1686	1588	57.56%	23.65%	18.79%	+0.69	+2.3	33
2003-04-05	@ Midtjylland	L 1-2	57.4	1588	1686	18.79%	23.65%	57.56%	-0.69	-2.3	27
2003-04-06	Aarhus GF	W 4-1	51.6	1565	1544	47.47%	27.01%	25.52%	+0.36	+7.5	31
2003-04-06	@ Esbjerg	L 1-4	51.6	1544	1565	25.52%	27.01%	47.47%	-0.36	-7.5	23
2003-04-06	AB Copenhagen	W 2-0	52.8	1549	1605	36.60%	28.39%	35.01%	+0.02	+7.8	33
2003-04-06	@ Nordsjaelland	L 0-2	52.8	1605	1549	35.01%	28.39%	36.60%	-0.02	-7.8	23
2003-04-06	Brondby	D 1-1	70.4	1755	1773	42.13%	27.99%	29.88%	+0.19	-0.3	40
2003-04-06	@ FC Copenhagen	D 1-1	70.4	1773	1755	29.88%	27.99%	42.13%	-0.19	+0.3	36
2003-04-06	Odense	D 1-1	66.5	1554	1625	34.55%	28.38%	37.08%	-0.04	+0.0	21
2003-04-06	@ Silkeborg	D 1-1	66.5	1625	1554	37.08%	28.38%	34.55%	+0.04	-0.0	30
2003-04-06	Viborg	W 2-0	50.5	1460	1565	30.09%	28.02%	41.89%	-0.18	+8.9	26
2003-04-06	@ Koge BK	L 0-2	50.5	1565	1460	41.89%	28.02%	30.09%	+0.18	-8.9	21
2003-04-12	Brondby	D 1-1	70.1	1625	1773	25.20%	26.91%	47.89%	-0.37	+0.5	31
2003-04-12	@ Odense	D 1-1	70.1	1773	1625	47.89%	26.91%	25.20%	+0.37	-0.5	37
2003-04-13	Esbjerg	W 1-0	50.0	1755	1573	67.42%	18.88%	13.70%	+1.05	+1.7	43
2003-04-13	@ FC Copenhagen	L 0-1	50.0	1573	1755	13.70%	18.88%	67.42%	-1.05	-1.7	31
2003-04-13	Koge BK	W 3-1	48.3	1597	1469	61.22%	22.02%	16.77%	+0.82	+3.4	26
2003-04-13	@ AB Copenhagen	L 1-3	48.3	1469	1597	16.77%	22.02%	61.22%	-0.82	-3.4	26
2003-04-13	Midtjylland	W 3-2	71.8	1537	1688	24.86%	26.80%	48.33%	-0.38	+4.7	26
2003-04-13	@ Aarhus GF	L 2-3	71.8	1688	1537	48.33%	26.80%	24.86%	+0.38	-4.7	33
2003-04-13	Nordsjaelland	L 1-2	64.4	1585	1557	48.53%	26.75%	24.72%	+0.39	-5.0	27
2003-04-13	@ Aalborg	W 2-1	64.4	1557	1585	24.72%	26.75%	48.53%	-0.39	+5.0	36
2003-04-13	Silkeborg	D 0-0	60.8	1556	1554	44.81%	27.57%	27.62%	+0.27	-0.4	22
2003-04-13	@ Viborg	D 0-0	60.8	1554	1556	27.62%	27.57%	44.81%	-0.27	+0.4	22
2003-04-16	Aarhus GF	W 2-0	47.9	1580	1542	49.87%	26.39%	23.75%	+0.43	+5.7	30
2003-04-16	@ Aalborg	L 0-2	47.9	1542	1580	23.75%	26.39%	49.87%	-0.43	-5.7	26
2003-04-17	Esbjerg	L 1-4	60.3	1601	1571	48.68%	26.71%	24.61%	+0.39	-12.2	26
2003-04-17	@ AB Copenhagen	W 4-1	60.3	1571	1601	24.61%	26.71%	48.68%	-0.39	+12.2	34
2003-04-17	FC Copenhagen	W 3-0	58.8	1555	1757	20.35%	24.70%	54.95%	-0.60	+16.0	25
2003-04-17	@ Silkeborg	L 0-3	58.8	1757	1555	54.95%	24.70%	20.35%	+0.60	-16.0	43
2003-04-17	Koge BK	W 2-1	50.2	1773	1465	79.66%	11.96%	8.38%	+1.58	+0.8	40
2003-04-17	@ Brondby	L 1-2	50.2	1465	1773	8.38%	11.96%	79.66%	-1.58	-0.8	26
2003-04-17	Midtjylland	D 0-0	64.0	1555	1684	27.34%	27.51%	45.16%	-0.28	+0.4	23
2003-04-17	@ Viborg	D 0-0	64.0	1684	1555	45.16%	27.51%	27.34%	+0.28	-0.5	34
2003-04-17	Nordsjaelland	D 2-2	73.3	1626	1562	53.21%	25.33%	21.46%	+0.54	-0.6	32
2003-04-17	@ Odense	D 2-2	73.3	1562	1626	21.46%	25.33%	53.21%	-0.54	+0.6	37
2003-04-20	Brondby	D 1-1	70.4	1562	1774	19.61%	24.22%	56.17%	-0.64	+0.9	38
2003-04-20	@ Nordsjaelland	D 1-1	70.4	1774	1562	56.17%	24.22%	19.61%	+0.64	-0.9	41
2003-04-21	Aalborg	L 0-1	65.7	1741	1586	64.30%	20.51%	15.19%	+0.93	-6.5	43
2003-04-21	@ FC Copenhagen	W 1-0	65.7	1586	1741	15.19%	20.51%	64.30%	-0.93	+6.5	33
2003-04-21	AB Copenhagen	L 1-2	61.0	1536	1589	37.14%	28.38%	34.48%	+0.04	-4.1	26
2003-04-21	@ Aarhus GF	W 2-1	61.0	1589	1536	34.48%	28.38%	37.14%	-0.04	+4.1	29
2003-04-21	Odense	D 2-2	75.4	1683	1625	52.40%	25.61%	22.00%	+0.51	-0.5	35
2003-04-21	@ Midtjylland	D 2-2	75.4	1625	1683	22.00%	25.61%	52.40%	-0.51	+0.5	33
2003-04-21	Silkeborg	L 1-3	53.0	1465	1571	29.92%	28.00%	42.09%	-0.19	-6.0	26
2003-04-21	@ Koge BK	W 3-1	53.0	1571	1465	42.09%	28.00%	29.92%	+0.19	+6.0	28
2003-04-21	Viborg	L 1-5	57.9	1583	1556	48.35%	26.80%	24.86%	+0.38	-15.7	34
2003-04-21	@ Esbjerg	W 5-1	57.9	1556	1583	24.86%	26.80%	48.35%	-0.38	+15.7	26
2003-04-24	Aarhus GF	W 2-0	47.4	1563	1532	48.86%	26.66%	24.47%	+0.40	+5.9	41
2003-04-24	@ Nordsjaelland	L 0-2	47.4	1532	1563	24.47%	26.66%	48.86%	-0.40	-5.9	26
2003-04-26	FC Copenhagen	L 0-5	43.9	1459	1734	15.38%	20.70%	63.92%	-0.92	-8.4	26
2003-04-26	@ Koge BK	W 5-0	43.9	1734	1459	63.92%	20.70%	15.38%	+0.92	+8.4	46
2003-04-27	Aalborg	W 3-1	56.9	1593	1593	44.63%	27.61%	27.77%	+0.27	+5.7	32
2003-04-27	@ AB Copenhagen	L 1-3	56.9	1593	1593	27.77%	27.61%	44.63%	-0.27	-5.7	33
2003-04-27	Aarhus GF	D 0-0	60.8	1572	1526	50.79%	26.12%	23.09%	+0.46	-0.7	27
2003-04-27	@ Viborg	D 0-0	60.8	1526	1572	23.09%	26.12%	50.79%	-0.46	+0.7	27
2003-04-27	Esbjerg	D 1-1	67.7	1626	1568	52.43%	25.59%	21.97%	+0.52	-0.7	34
2003-04-27	@ Odense	D 1-1	67.7	1568	1626	21.97%	25.59%	52.43%	-0.52	+0.7	35
2003-04-27	Midtjylland	W 3-1	56.7	1773	1683	56.52%	24.08%	19.40%	+0.65	+4.0	44
2003-04-27	@ Brondby	L 1-3	56.7	1683	1773	19.40%	24.08%	56.52%	-0.65	-4.0	35
2003-04-27	Nordsjaelland	W 5-1	51.9	1577	1569	45.70%	27.40%	26.90%	+0.30	+10.1	31
2003-04-27	@ Silkeborg	L 1-5	51.9	1569	1577	26.90%	27.40%	45.70%	-0.30	-10.1	41
2003-05-03	Brondby	L 1-2	58.9	1568	1777	19.83%	24.37%	55.80%	-0.63	-2.4	35
2003-05-03	@ Esbjerg	W 2-1	58.9	1777	1568	55.80%	24.37%	19.83%	+0.63	+2.4	47
2003-05-04	AB Copenhagen	D 1-1	71.4	1743	1598	63.08%	21.12%	15.80%	+0.88	-1.2	47
2003-05-04	@ FC Copenhagen	D 1-1	71.4	1598	1743	15.80%	21.12%	63.08%	-0.88	+1.2	33
2003-05-04	Koge BK	W 2-1	49.7	1559	1450	58.80%	23.12%	18.08%	+0.73	+2.2	44
2003-05-04	@ Nordsjaelland	L 1-2	49.7	1450	1559	18.08%	23.12%	58.80%	-0.73	-2.2	26
2003-05-04	Odense	W 4-1	57.9	1527	1625	30.89%	28.12%	40.99%	-0.16	+10.7	30
2003-05-04	@ Aarhus GF	L 1-4	57.9	1625	1527	40.99%	28.12%	30.89%	+0.16	-10.8	34
2003-05-04	Silkeborg	W 2-1	57.6	1678	1587	56.71%	24.01%	19.29%	+0.66	+2.3	38
2003-05-04	@ Midtjylland	L 1-2	57.6	1587	1678	19.29%	24.01%	56.71%	-0.66	-2.3	31
2003-05-04	Viborg	L 2-3	69.9	1587	1571	46.80%	27.17%	26.03%	+0.33	-4.6	33
2003-05-04	@ Aalborg	W 3-2	69.9	1571	1587	26.03%	27.17%	46.80%	-0.33	+4.6	30
2003-05-10	FC Copenhagen	L 0-1	54.3	1561	1741	22.13%	25.67%	52.20%	-0.51	-2.8	44
2003-05-10	@ Nordsjaelland	W 1-0	54.3	1741	1561	52.20%	25.67%	22.13%	+0.51	+2.8	50
2003-05-11	Aalborg	W 3-1	55.9	1614	1582	48.97%	26.64%	24.40%	+0.40	+5.1	37
2003-05-11	@ Odense	L 1-3	55.9	1582	1614	24.40%	26.64%	48.97%	-0.40	-5.1	33
2003-05-11	Aarhus GF	D 1-1	72.8	1779	1537	73.65%	15.43%	10.92%	+1.30	-1.5	48
2003-05-11	@ Brondby	D 1-1	72.8	1537	1779	10.92%	15.43%	73.65%	-1.30	+1.5	31
2003-05-11	AB Copenhagen	W 3-0	50.0	1575	1600	41.23%	28.10%	30.67%	+0.16	+10.3	33
2003-05-11	@ Viborg	L 0-3	50.0	1600	1575	30.67%	28.10%	41.23%	-0.16	-10.3	33
2003-05-11	Esbjerg	D 2-2	71.8	1585	1566	47.17%	27.08%	25.75%	+0.35	-0.4	32
2003-05-11	@ Silkeborg	D 2-2	71.8	1566	1585	25.75%	27.08%	47.17%	-0.35	+0.4	36
2003-05-11	Midtjylland	D 1-1	66.7	1448	1681	18.07%	23.11%	58.81%	-0.73	+1.0	27
2003-05-11	@ Koge BK	D 1-1	66.7	1681	1448	58.81%	23.11%	18.07%	+0.73	-1.0	39
2003-05-17	Odense	D 1-1	67.3	1589	1619	40.39%	28.18%	31.43%	+0.14	-0.2	34
2003-05-17	@ AB Copenhagen	D 1-1	67.3	1619	1589	31.43%	28.18%	40.39%	-0.14	+0.2	38
2003-05-18	Brondby	L 1-2	59.3	1577	1778	20.47%	24.77%	54.77%	-0.59	-2.5	33
2003-05-18	@ Aalborg	W 2-1	59.3	1778	1577	54.77%	24.77%	20.47%	+0.59	+2.5	51
2003-05-18	Koge BK	W 6-1	42.6	1566	1449	59.85%	22.65%	17.50%	+0.77	+8.1	39
2003-05-18	@ Esbjerg	L 1-6	42.6	1449	1566	17.50%	22.65%	59.85%	-0.77	-8.1	27
2003-05-18	Nordsjaelland	W 2-0	47.6	1680	1558	60.40%	22.40%	17.20%	+0.79	+4.1	42
2003-05-18	@ Midtjylland	L 0-2	47.6	1558	1680	17.20%	22.40%	60.40%	-0.79	-4.1	44
2003-05-18	Silkeborg	W 2-1	59.8	1539	1584	38.22%	28.34%	33.44%	+0.07	+3.8	34
2003-05-18	@ Aarhus GF	L 1-2	59.8	1584	1539	33.44%	28.34%	38.22%	-0.07	-3.8	32
2003-05-18	Viborg	L 2-3	76.3	1744	1586	64.73%	20.29%	14.98%	+0.95	-5.9	50
2003-05-18	@ FC Copenhagen	W 3-2	76.3	1586	1744	14.98%	20.29%	64.73%	-0.95	+5.9	36
2003-05-24	FC Copenhagen	L 1-2	65.8	1684	1738	36.90%	28.38%	34.72%	+0.03	-4.1	42
2003-05-24	@ Midtjylland	W 2-1	65.8	1738	1684	34.72%	28.38%	36.90%	-0.03	+4.1	53
2003-05-25	Aalborg	D 0-0	62.1	1580	1575	45.38%	27.46%	27.15%	+0.29	-0.5	33
2003-05-25	@ Silkeborg	D 0-0	62.1	1575	1580	27.15%	27.46%	45.38%	-0.29	+0.5	34
2003-05-25	Aarhus GF	L 1-4	48.9	1441	1543	30.46%	28.07%	41.47%	-0.17	-8.6	27
2003-05-25	@ Koge BK	W 4-1	48.9	1543	1441	41.47%	28.07%	30.46%	+0.17	+8.6	37
2003-05-25	AB Copenhagen	D 0-0	68.4	1780	1589	68.37%	18.37%	13.26%	+1.09	-1.5	52
2003-05-25	@ Brondby	D 0-0	68.4	1589	1780	13.26%	18.37%	68.37%	-1.09	+1.5	35
2003-05-25	Esbjerg	L 2-3	67.8	1554	1574	41.77%	28.04%	30.20%	+0.18	-4.2	44
2003-05-25	@ Nordsjaelland	W 3-2	67.8	1574	1554	30.20%	28.04%	41.77%	-0.18	+4.2	42
2003-05-25	Viborg	W 3-1	56.3	1619	1592	48.41%	26.78%	24.81%	+0.39	+5.1	41
2003-05-25	@ Odense	L 1-3	56.3	1592	1619	24.81%	26.78%	48.41%	-0.39	-5.1	36
2003-05-31	Nordsjaelland	D 2-2	70.2	1551	1550	44.81%	27.57%	27.62%	+0.27	-0.3	38
2003-05-31	@ Aarhus GF	D 2-2	70.2	1550	1551	27.62%	27.57%	44.81%	-0.27	+0.3	45
2003-06-01	Brondby	D 1-1	70.4	1586	1779	21.14%	25.16%	53.70%	-0.56	+0.8	37
2003-06-01	@ Viborg	D 1-1	70.4	1779	1586	53.70%	25.16%	21.14%	+0.56	-0.8	53
2003-06-01	Koge BK	W 1-0	43.3	1575	1432	62.91%	21.20%	15.89%	+0.88	+2.0	37
2003-06-01	@ Aalborg	L 0-1	43.3	1432	1575	15.89%	21.20%	62.91%	-0.88	-2.0	27
2003-06-01	Midtjylland	W 4-1	60.3	1579	1680	30.51%	28.08%	41.41%	-0.17	+10.8	45
2003-06-01	@ Esbjerg	L 1-4	60.3	1680	1579	41.41%	28.08%	30.51%	+0.17	-10.8	42
2003-06-01	Odense	D 1-1	71.2	1742	1625	59.93%	22.61%	17.45%	+0.77	-1.0	54
2003-06-01	@ FC Copenhagen	D 1-1	71.2	1625	1742	17.45%	22.61%	59.93%	-0.77	+1.0	42
2003-06-01	Silkeborg	W 3-1	56.1	1591	1580	46.07%	27.33%	26.60%	+0.31	+5.5	38
2003-06-01	@ AB Copenhagen	L 1-3	56.1	1580	1591	26.60%	27.33%	46.07%	-0.31	-5.5	33
2003-06-14	FC Copenhagen	D 0-0	65.5	1589	1741	24.80%	26.78%	48.42%	-0.39	+0.6	46
2003-06-14	@ Esbjerg	D 0-0	65.5	1741	1589	48.42%	26.78%	24.80%	+0.39	-0.6	55
2003-06-15	Aalborg	L 1-3	59.4	1550	1577	40.81%	28.14%	31.05%	+0.15	-7.6	45
2003-06-15	@ Nordsjaelland	W 3-1	59.4	1577	1550	31.05%	28.14%	40.81%	-0.15	+7.6	40
2003-06-15	Aarhus GF	D 1-1	69.2	1669	1551	59.95%	22.60%	17.44%	+0.77	-1.0	43
2003-06-15	@ Midtjylland	D 1-1	69.2	1551	1669	17.44%	22.60%	59.95%	-0.77	+1.0	39
2003-06-15	AB Copenhagen	L 2-3	58.3	1430	1596	23.48%	26.28%	50.24%	-0.44	-2.7	27
2003-06-15	@ Koge BK	W 3-2	58.3	1596	1430	50.24%	26.28%	23.48%	+0.44	+2.7	41
2003-06-15	Odense	W 4-0	46.1	1778	1626	64.00%	20.66%	15.34%	+0.92	+6.8	56
2003-06-15	@ Brondby	L 0-4	46.1	1626	1778	15.34%	20.66%	64.00%	-0.92	-6.8	42
2003-06-15	Viborg	L 2-3	69.0	1574	1587	42.82%	27.90%	29.29%	+0.21	-4.3	33
2003-06-15	@ Silkeborg	W 3-2	69.0	1587	1574	29.29%	27.90%	42.82%	-0.21	+4.3	40
2003-06-18	Esbjerg	D 1-1	65.6	1552	1590	39.27%	28.27%	32.46%	+0.10	-0.1	40
2003-06-18	@ Aarhus GF	D 1-1	65.6	1590	1552	32.46%	28.27%	39.27%	-0.10	+0.1	47
2003-06-18	FC Copenhagen	L 0-1	64.5	1785	1741	50.54%	26.19%	23.27%	+0.45	-5.5	56
2003-06-18	@ Brondby	W 1-0	64.5	1741	1785	23.27%	26.19%	50.54%	-0.45	+5.5	58
2003-06-18	Koge BK	W 6-1	41.1	1592	1428	65.34%	19.97%	14.68%	+0.97	+6.6	43
2003-06-18	@ Viborg	L 1-6	41.1	1428	1592	14.68%	19.97%	65.34%	-0.97	-6.6	27
2003-06-18	Midtjylland	W 1-0	59.4	1585	1668	32.85%	28.30%	38.84%	-0.09	+4.5	43
2003-06-18	@ Aalborg	L 0-1	59.4	1668	1585	38.84%	28.30%	32.85%	+0.09	-4.5	43
2003-06-18	Nordsjaelland	L 1-2	65.2	1599	1543	52.17%	25.68%	22.15%	+0.51	-5.3	41
2003-06-18	@ AB Copenhagen	W 2-1	65.2	1543	1599	22.15%	25.68%	52.17%	-0.51	+5.3	48
2003-06-18	Silkeborg	W 4-3	66.2	1619	1570	51.19%	25.99%	22.82%	+0.48	+2.5	45
2003-06-18	@ Odense	L 3-4	66.2	1570	1619	22.82%	25.99%	51.19%	-0.48	-2.6	33
2003-06-22	Aalborg	L 0-1	59.4	1590	1589	44.73%	27.59%	27.69%	+0.27	-5.0	47
2003-06-22	@ Esbjerg	W 1-0	59.4	1589	1590	27.69%	27.59%	44.73%	-0.27	+5.0	46
2003-06-22	Aarhus GF	W 4-1	49.4	1746	1552	68.73%	18.17%	13.10%	+1.10	+3.6	61
2003-06-22	@ FC Copenhagen	L 1-4	49.4	1552	1746	13.10%	18.17%	68.73%	-1.10	-3.6	40
2003-06-22	AB Copenhagen	D 3-3	79.1	1664	1593	53.98%	25.06%	20.97%	+0.57	-0.5	44
2003-06-22	@ Midtjylland	D 3-3	79.1	1593	1664	20.97%	25.06%	53.98%	-0.57	+0.5	42
2003-06-22	Brondby	W 4-3	78.2	1568	1779	19.60%	24.22%	56.18%	-0.64	+5.2	36
2003-06-22	@ Silkeborg	L 3-4	78.2	1779	1568	56.18%	24.22%	19.60%	+0.64	-5.2	56
2003-06-22	Odense	L 1-2	52.1	1421	1621	20.48%	24.77%	54.75%	-0.59	-2.5	27
2003-06-22	@ Koge BK	W 2-1	52.1	1621	1421	54.75%	24.77%	20.48%	+0.59	+2.5	48
2003-06-22	Viborg	W 1-0	55.6	1548	1598	37.49%	28.37%	34.15%	+0.05	+4.1	51
2003-06-22	@ Nordsjaelland	L 0-1	55.6	1598	1548	34.15%	28.37%	37.49%	-0.05	-4.1	43

Biggest Upsets

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

#	Date	Underdog Win %	Winning Team			Losing Team
#	Date	Underdog Win %	Team	Elo	Score	Team	Elo	Score
1	2002-10-06	7.97%	Koge BK	1453	2	@ Brondby	1773	1
2	2003-05-18	14.98%	Viborg	1586	3	@ FC Copenhagen	1744	2
3	2002-08-03	15.11%	AB Copenhagen	1620	3	@ Brondby	1776	1
4	2003-04-21	15.19%	Aalborg	1586	1	@ FC Copenhagen	1741	0
5	2002-09-22	15.42%	Koge BK	1444	4	@ Viborg	1595	1
6	2002-09-15	17.05%	Aarhus GF	1557	2	@ Midtjylland	1681	1
7	2002-11-02	18.81%	@ Aarhus GF	1544	2	Brondby	1767	1
8	2002-10-20	18.91%	Koge BK	1461	3	@ Aarhus GF	1557	1
9	2002-08-11	19.08%	Koge BK	1449	4	@ Esbjerg	1544	3
10	2002-11-24	19.17%	Koge BK	1461	4	@ Silkeborg	1554	3
11	2002-09-21	19.41%	Nordsjaelland	1530	3	@ Aalborg	1620	1
12	2003-06-22	19.60%	@ Silkeborg	1568	4	Brondby	1779	3
13	2002-09-08	19.95%	@ Esbjerg	1549	3	FC Copenhagen	1756	0
14	2003-04-17	20.35%	@ Silkeborg	1555	3	FC Copenhagen	1757	0
15	2002-10-04	21.47%	Aarhus GF	1552	2	@ Aalborg	1616	1
16	2002-10-20	21.59%	Silkeborg	1548	4	@ Aalborg	1611	3
17	2003-06-18	22.15%	Nordsjaelland	1543	2	@ AB Copenhagen	1599	1
18	2003-06-18	23.27%	FC Copenhagen	1741	1	@ Brondby	1785	0
19	2002-10-06	23.30%	Esbjerg	1568	2	@ AB Copenhagen	1611	1
20	2002-08-25	23.35%	Nordsjaelland	1523	1	@ Silkeborg	1566	0
21	2002-08-10	23.46%	@ Aalborg	1600	3	Brondby	1765	1
22	2002-10-20	23.88%	Nordsjaelland	1535	2	@ Esbjerg	1573	0
23	2002-09-01	24.17%	@ Aalborg	1612	3	FC Copenhagen	1771	0
24	2003-03-24	24.25%	Nordsjaelland	1540	3	@ Viborg	1573	1
25	2003-03-23	24.30%	Esbjerg	1560	1	@ Aalborg	1593	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	2002-09-22	19.70	@ Esbjerg	5	1548	32.88%	Odense	0	1631	38.81%	28.30%
2	2002-08-11	18.45	Odense	4	1613	25.91%	@ AB Copenhagen	0	1631	46.95%	27.13%
3	2002-11-17	18.07	AB Copenhagen	4	1607	26.91%	@ Aalborg	0	1615	45.69%	27.40%
4	2002-09-15	17.38	@ Viborg	6	1578	46.38%	Esbjerg	0	1565	26.36%	27.26%
5	2002-09-08	16.10	@ Esbjerg	3	1549	19.95%	FC Copenhagen	0	1756	55.60%	24.45%
6	2003-04-17	15.95	@ Silkeborg	3	1555	20.35%	FC Copenhagen	0	1757	54.95%	24.70%
7	2003-04-21	15.73	Viborg	5	1556	24.86%	@ Esbjerg	1	1583	48.35%	26.80%
8	2002-09-22	15.05	Koge BK	4	1444	15.42%	@ Viborg	1	1595	63.85%	20.73%
9	2002-09-01	14.67	@ Aalborg	3	1612	24.17%	FC Copenhagen	0	1771	49.28%	26.55%
10	2002-08-18	13.55	Silkeborg	4	1552	40.83%	@ Koge BK	0	1455	31.03%	28.14%
11	2003-03-16	12.28	@ Silkeborg	3	1545	32.69%	AB Copenhagen	0	1629	39.02%	28.29%
12	2003-04-17	12.25	Esbjerg	4	1571	24.61%	@ AB Copenhagen	1	1601	48.68%	26.71%
13	2003-03-23	11.70	Midtjylland	3	1674	35.13%	@ AB Copenhagen	0	1617	36.48%	28.39%
14	2003-06-01	10.83	@ Esbjerg	4	1579	30.51%	Midtjylland	1	1680	41.41%	28.08%
15	2003-05-04	10.75	@ Aarhus GF	4	1527	30.89%	Odense	1	1625	40.99%	28.12%
16	2002-08-03	10.72	AB Copenhagen	3	1620	15.11%	@ Brondby	1	1776	64.47%	20.42%
17	2003-05-11	10.28	@ Viborg	3	1575	41.23%	AB Copenhagen	0	1600	30.67%	28.10%
18	2002-10-20	10.16	Nordsjaelland	2	1535	23.88%	@ Esbjerg	0	1573	49.68%	26.44%
19	2003-04-27	10.06	@ Silkeborg	5	1577	45.70%	Nordsjaelland	1	1569	26.90%	27.40%
20	2003-03-16	9.99	@ Odense	2	1612	24.64%	FC Copenhagen	0	1766	48.64%	26.72%
21	2002-10-20	9.83	Koge BK	3	1461	18.91%	@ Aarhus GF	1	1557	57.35%	23.74%
22	2002-09-21	9.71	Nordsjaelland	3	1530	19.41%	@ Aalborg	1	1620	56.49%	24.09%
23	2002-09-08	9.55	@ Odense	3	1625	44.39%	Aalborg	0	1627	27.96%	27.65%
24	2002-08-31	9.40	@ Koge BK	2	1440	27.55%	Aarhus GF	0	1566	44.89%	27.56%
25	2002-09-22	9.00	@ Brondby	4	1761	56.04%	Midtjylland	0	1675	19.69%	24.28%

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	2003-06-22	79.1	@ Midtjylland	3	1664	53.98%	AB Copenhagen	3	1593	20.97%	25.06%
2	2002-11-16	78.8	@ Esbjerg	4	1572	38.99%	Odense	4	1612	32.72%	28.29%
3	2003-06-22	78.2	@ Silkeborg	4	1568	19.60%	Brondby	3	1779	56.18%	24.22%
4	2002-07-28	77.8	@ FC Copenhagen	2	1765	67.37%	Viborg	2	1583	13.73%	18.91%
5	2003-05-18	76.3	Viborg	3	1586	14.98%	@ FC Copenhagen	2	1744	64.73%	20.29%
6	2002-08-18	75.7	@ Midtjylland	2	1679	32.19%	FC Copenhagen	2	1767	39.56%	28.25%
7	2002-09-08	75.7	@ Aarhus GF	2	1556	20.38%	Brondby	2	1758	54.91%	24.71%
8	2003-03-23	75.7	@ Aarhus GF	2	1544	19.54%	FC Copenhagen	2	1756	56.28%	24.18%
9	2003-04-21	75.4	@ Midtjylland	2	1683	52.40%	Odense	2	1625	22.00%	25.61%
10	2002-10-20	74.4	Silkeborg	4	1548	21.59%	@ Aalborg	3	1611	53.01%	25.40%
11	2003-04-17	73.3	@ Odense	2	1626	53.21%	Nordsjaelland	2	1562	21.46%	25.33%
12	2003-05-11	72.8	@ Brondby	1	1779	73.65%	Aarhus GF	1	1537	10.92%	15.43%
13	2002-08-04	72.7	@ Odense	2	1614	53.49%	Silkeborg	2	1548	21.28%	25.23%
14	2002-08-25	72.7	@ AB Copenhagen	2	1609	50.47%	Aarhus GF	2	1565	23.32%	26.21%
15	2002-11-10	72.7	@ Odense	2	1613	53.01%	Aarhus GF	2	1550	21.59%	25.40%
16	2002-08-25	72.4	@ Viborg	2	1574	39.27%	Aalborg	2	1612	32.46%	28.27%
17	2002-09-01	72.2	@ Brondby	1	1759	70.61%	Esbjerg	1	1547	12.25%	17.14%
18	2002-11-10	72.1	@ Brondby	1	1761	68.26%	Esbjerg	1	1571	13.31%	18.43%
19	2003-04-13	71.8	@ Aarhus GF	3	1537	24.86%	Midtjylland	2	1688	48.33%	26.80%
20	2003-05-11	71.8	@ Silkeborg	2	1585	47.17%	Esbjerg	2	1566	25.75%	27.08%
21	2002-07-28	71.6	@ AB Copenhagen	2	1621	65.99%	Koge BK	2	1451	14.37%	19.63%
22	2002-10-06	71.5	Koge BK	2	1453	7.97%	@ Brondby	1	1773	80.65%	11.38%
23	2003-05-04	71.4	@ FC Copenhagen	1	1743	63.08%	AB Copenhagen	1	1598	15.80%	21.12%
24	2002-08-25	71.2	@ Esbjerg	3	1543	26.43%	Midtjylland	2	1679	46.30%	27.28%
25	2003-06-01	71.2	@ FC Copenhagen	1	1742	59.93%	Odense	1	1625	17.45%	22.61%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2002-11-03	40.4	@ Midtjylland	5	1663	69.54%	Koge BK	0	1462	12.73%	17.73%
2	2003-06-18	41.1	@ Viborg	6	1592	65.34%	Koge BK	1	1428	14.68%	19.97%
3	2003-05-18	42.6	@ Esbjerg	6	1566	59.85%	Koge BK	1	1449	17.50%	22.65%
4	2003-06-01	43.3	@ Aalborg	1	1575	62.91%	Koge BK	0	1432	15.89%	21.20%
5	2002-11-03	43.4	@ FC Copenhagen	4	1757	70.04%	Nordsjaelland	0	1551	12.51%	17.46%
6	2002-12-01	43.6	@ FC Copenhagen	3	1762	70.76%	Silkeborg	0	1549	12.19%	17.06%
7	2003-04-26	43.9	FC Copenhagen	5	1734	63.92%	@ Koge BK	0	1459	15.38%	20.70%
8	2002-08-18	44.2	Silkeborg	4	1552	40.83%	@ Koge BK	0	1455	31.03%	28.14%
9	2002-09-14	44.3	@ Nordsjaelland	1	1527	55.30%	Koge BK	0	1447	20.14%	24.56%
10	2002-08-18	44.7	@ Brondby	4	1757	66.75%	Viborg	0	1580	14.01%	19.23%
11	2002-11-17	45.0	@ FC Copenhagen	1	1762	79.06%	Koge BK	0	1462	8.63%	12.31%
12	2002-11-30	45.6	Brondby	2	1766	66.67%	@ Koge BK	0	1466	14.05%	19.28%
13	2003-03-22	45.8	@ Brondby	2	1770	70.75%	Silkeborg	0	1557	12.19%	17.06%
14	2003-06-15	46.1	@ Brondby	4	1778	64.00%	Odense	0	1626	15.34%	20.66%
15	2002-09-22	46.6	@ FC Copenhagen	2	1742	67.04%	Aarhus GF	0	1563	13.88%	19.08%
16	2002-11-23	46.6	@ Brondby	7	1760	71.20%	Nordsjaelland	1	1542	11.99%	16.81%
17	2002-09-29	46.7	Aalborg	2	1610	48.25%	@ Koge BK	0	1459	24.92%	26.82%
18	2002-09-08	47.1	@ AB Copenhagen	2	1604	54.22%	Nordsjaelland	0	1532	20.81%	24.97%
19	2002-07-28	47.3	@ Aarhus GF	2	1560	48.63%	Nordsjaelland	0	1530	24.64%	26.72%
20	2003-04-24	47.4	@ Nordsjaelland	2	1563	48.86%	Aarhus GF	0	1532	24.47%	26.66%
21	2003-05-18	47.6	@ Midtjylland	2	1680	60.40%	Nordsjaelland	0	1558	17.20%	22.40%
22	2002-09-01	47.8	@ Midtjylland	2	1675	59.55%	Silkeborg	0	1560	17.66%	22.78%
23	2003-03-23	47.9	@ Odense	3	1622	64.81%	Koge BK	1	1463	14.94%	20.25%
24	2003-04-16	47.9	@ Aalborg	2	1580	49.87%	Aarhus GF	0	1542	23.75%	26.39%
25	2002-07-27	48.0	Brondby	3	1769	56.60%	@ Silkeborg	0	1554	19.35%	24.05%