2008-09 Superliga Season

198 games

Final

Champion

FC Copenhagen

74 points · 7th Title

Last Title: 2006-07

Relegated

Horsens

24 pts

Vejle BK · 25 pts

Biggest Overachiever

Brondby

14.66 points above expected

68 points · 53.34 expected points

Biggest Disappointment

Horsens

12.91 points below expected

24 points · 36.91 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	23	5	5	74	67	26	+41	61.71	+12.29
2	Odense	33	21	6	6	69	65	31	+34	57.70	+11.30
3	Brondby	33	21	5	7	68	55	31	+24	53.34	+14.66
4	Midtjylland	33	16	7	10	55	55	46	+9	52.53	+2.47
5	Randers	33	11	13	9	46	52	50	+2	46.37	-0.37
6	Aarhus GF	33	13	6	14	45	39	44	-5	37.85	+7.15
7	Aalborg	33	9	12	12	39	40	49	-9	47.18	-8.18
8	Nordsjaelland	33	9	8	16	35	44	53	-9	40.89	-5.89
9	Esbjerg	33	7	11	15	32	32	41	-9	40.03	-8.03
10	Sonderjyske	33	5	13	15	28	30	56	-26	30.69	-2.69
11	Vejle BK Relegated	33	4	13	16	25	30	59	-29	35.35	-10.35
12	Horsens Relegated	33	5	9	19	24	35	58	-23	36.91	-12.91

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

Form

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

League Race

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

Season Summary

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

Team	Elo	Points	Avg	Luck	Percentile	Min	5th	Q1	Median	Q3	95th	Max
FC Copenhagen	1915	74	61.71	+12.29	96.9%	31	50	57	62	66	73	86
Odense	1872	69	57.70	+11.30	95.6%	31	46	53	58	62	69	84
Brondby	1796	68	53.34	+14.66	98.4%	27	41	48	53	58	65	79
Midtjylland	1759	55	52.53	+2.47	65.9%	21	41	48	53	57	65	80
Randers	1717	46	46.37	-0.37	50.8%	23	35	41	46	51	58	80
Aalborg	1687	39	47.18	-8.18	14.4%	16	36	42	47	52	59	72
Aarhus GF	1678	45	37.85	+7.15	86.3%	14	27	33	38	42	49	71
Esbjerg	1669	32	40.03	-8.03	13.6%	17	29	35	40	45	52	74
Nordsjaelland	1659	35	40.89	-5.89	22.6%	16	30	36	41	46	53	69
Horsens	1578	24	36.91	-12.91	3.1%	11	26	32	37	42	49	65
Sonderjyske	1572	28	30.69	-2.69	37.6%	8	20	26	31	35	42	60
Vejle BK	1563	25	35.35	-10.35	7.0%	12	24	31	35	40	47	63

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	AAL	AG	BRO	ESB	FC	HOR	MID	NOR	ODE	RAN	SON	VB
Aalborg	—	1-1-1 5.27	0-1-2 3.31	1-1-1 4.87	1-0-2 2.46	1-2-0 5.27	1-0-2 4.06	0-2-1 4.72	0-1-2 3.63	1-1-1 3.69	1-2-0 5.25	2-1-0 4.66
Aarhus GF	1-1-1 2.91	—	2-0-1 2.94	1-0-2 3.59	1-0-2 1.99	2-1-0 4.14	1-0-2 2.45	1-1-1 4.26	1-0-2 2.29	0-1-2 3.26	2-1-0 5.08	1-1-1 4.92
Brondby	2-1-0 4.85	1-0-2 5.26	—	3-0-0 5.51	1-0-2 3.66	2-0-1 5.21	1-1-1 4.43	3-0-0 4.68	2-1-0 3.41	2-0-1 5.19	2-1-0 5.76	2-1-0 5.41
Esbjerg	1-1-1 3.29	2-0-1 4.56	0-0-3 2.68	—	1-0-2 2.17	1-1-1 4.52	1-1-1 2.78	0-2-1 4.19	0-0-3 2.56	0-2-1 3.22	0-3-0 5.14	1-1-1 4.92
FC Copenhagen	2-0-1 5.76	2-0-1 6.30	2-0-1 4.49	2-0-1 6.10	—	3-0-0 6.08	3-0-0 4.90	3-0-0 6.14	1-1-1 4.72	1-2-0 5.25	2-1-0 6.22	2-1-0 5.78
Horsens	0-2-1 2.90	0-1-2 4.00	1-0-2 3.00	1-1-1 3.63	0-0-3 2.19	—	0-0-3 2.57	1-0-2 3.29	1-0-2 2.33	0-2-1 3.49	1-0-2 5.07	0-3-0 4.31
Midtjylland	2-0-1 4.09	2-0-1 5.77	1-1-1 3.72	1-1-1 5.41	0-0-3 3.27	3-0-0 5.64	—	3-0-0 5.20	1-1-1 3.63	1-1-1 4.46	0-2-1 5.81	2-1-0 5.60
Nordsjaelland	1-2-0 3.44	1-1-1 3.88	0-0-3 3.48	1-2-0 3.96	0-0-3 2.14	2-0-1 4.87	0-0-3 2.99	—	0-0-3 2.65	1-1-1 3.71	1-1-1 5.02	2-1-0 4.73
Odense	2-1-0 4.54	2-0-1 5.95	0-1-2 4.75	3-0-0 5.65	1-1-1 3.43	2-0-1 5.95	1-1-1 4.52	3-0-0 5.55	—	2-1-0 5.38	2-1-0 6.55	3-0-0 5.41
Randers	1-1-1 4.46	2-1-0 4.90	1-0-2 2.99	1-2-0 4.93	0-2-1 2.96	1-2-0 4.66	1-1-1 3.71	1-1-1 4.44	0-1-2 2.80	—	2-0-1 5.12	1-2-0 5.45
Sonderjyske	0-2-1 2.93	0-1-2 3.09	0-1-2 2.49	0-3-0 3.03	0-1-2 2.08	2-0-1 3.11	1-2-0 2.43	1-1-1 3.15	0-1-2 1.78	1-0-2 3.05	—	0-1-2 3.48
Vejle BK	0-1-2 3.52	1-1-1 3.24	0-1-2 2.83	1-1-1 3.25	0-1-2 2.48	0-3-0 3.84	0-1-2 2.61	0-1-2 3.42	0-0-3 2.81	0-2-1 2.75	2-1-0 4.69	—

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	0.89	+12.7
Allowed	0.83	-14.6
Differential	0.96	+7.6

Scoreline Distribution

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

View:

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	7.58%	6.57%	4.04%	4.29%	0.76%	0.51%	23.74%
1	6.57%	16.16%	9.85%	4.29%	1.01%	1.01%	38.89%
2	4.04%	9.85%	3.03%	2.78%	0.76%	0.25%	20.71%
3	4.29%	4.29%	2.78%	0.51%	0.25%	—	12.12%
4	0.76%	1.01%	0.76%	0.25%	—	—	2.78%
5+	0.51%	1.01%	0.25%	—	—	—	1.77%
Total	23.74%	38.89%	20.71%	12.12%	2.78%	1.77%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.37	1.37	+0.00
SD	1.18	1.18	1.76
CV	0.86	0.86	—
Max	6	6	+6
Min	0	0	-6

Games Played: 198

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.21	1.48	-0.27
SD	0.96	0.87	1.40
CV	0.79	0.59	—
Max	3	3	+3
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	9.09%	3.03%	3.03%	—	—	21.21%
1	12.12%	12.12%	15.15%	6.06%	—	3.03%	48.48%
2	3.03%	15.15%	—	3.03%	—	—	21.21%
3	3.03%	6.06%	—	—	—	—	9.09%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	24.24%	42.42%	18.18%	12.12%	—	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.18	1.33	-0.15
SD	0.88	1.27	1.62
CV	0.75	0.95	—
Max	3	6	+3
Min	0	0	-5

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	6.06%	—	6.06%	3.03%	—	24.24%
1	15.15%	3.03%	3.03%	—	—	—	21.21%
2	15.15%	15.15%	3.03%	—	3.03%	—	36.36%
3	6.06%	3.03%	—	—	—	—	9.09%
4	—	—	—	3.03%	—	—	3.03%
5+	3.03%	3.03%	—	—	—	—	6.06%
Total	48.48%	30.30%	6.06%	9.09%	6.06%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.67	0.94	+0.73
SD	1.45	1.22	2.00
CV	0.87	1.30	—
Max	6	4	+6
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	18.18%	—	—	—	—	24.24%
1	12.12%	24.24%	18.18%	6.06%	—	—	60.61%
2	3.03%	—	3.03%	—	3.03%	—	9.09%
3	—	3.03%	3.03%	—	—	—	6.06%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	21.21%	45.45%	24.24%	6.06%	3.03%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.97	1.24	-0.27
SD	0.77	0.97	1.04
CV	0.79	0.78	—
Max	3	4	+2
Min	0	0	-2

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	6.06%	3.03%	—	—	—	12.12%
1	15.15%	9.09%	—	3.03%	—	—	27.27%
2	3.03%	15.15%	—	3.03%	—	—	21.21%
3	18.18%	6.06%	—	3.03%	—	—	27.27%
4	6.06%	3.03%	—	—	—	—	9.09%
5+	—	—	3.03%	—	—	—	3.03%
Total	45.45%	39.39%	6.06%	9.09%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.03	0.79	+1.24
SD	1.31	0.93	1.64
CV	0.65	1.18	—
Max	5	3	+4
Min	0	0	-2

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	15.15%	6.06%	3.03%	—	—	30.30%
1	3.03%	15.15%	9.09%	9.09%	—	3.03%	39.39%
2	3.03%	6.06%	6.06%	6.06%	—	3.03%	24.24%
3	3.03%	—	—	—	3.03%	—	6.06%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	15.15%	36.36%	21.21%	18.18%	3.03%	6.06%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.06	1.76	-0.70
SD	0.90	1.35	1.42
CV	0.85	0.77	—
Max	3	5	+3
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	3.03%	3.03%	6.06%	—	—	15.15%
1	3.03%	18.18%	9.09%	3.03%	—	—	33.33%
2	6.06%	15.15%	—	3.03%	3.03%	—	27.27%
3	3.03%	6.06%	9.09%	—	—	—	18.18%
4	3.03%	—	3.03%	—	—	—	6.06%
5+	—	—	—	—	—	—	—
Total	18.18%	42.42%	24.24%	12.12%	3.03%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.67	1.39	+0.27
SD	1.14	1.03	1.64
CV	0.68	0.74	—
Max	4	4	+4
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	9.09%	6.06%	9.09%	—	—	30.30%
1	—	15.15%	12.12%	6.06%	3.03%	—	36.36%
2	—	9.09%	3.03%	3.03%	—	—	15.15%
3	3.03%	6.06%	3.03%	—	—	—	12.12%
4	—	3.03%	—	—	—	—	3.03%
5+	—	3.03%	—	—	—	—	3.03%
Total	9.09%	45.45%	24.24%	18.18%	3.03%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.33	1.61	-0.27
SD	1.38	1.00	1.88
CV	1.04	0.62	—
Max	6	4	+5
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	6.06%	—	—	3.03%	—	18.18%
1	3.03%	9.09%	9.09%	—	—	—	21.21%
2	9.09%	18.18%	—	—	—	—	27.27%
3	6.06%	12.12%	3.03%	—	—	—	21.21%
4	—	3.03%	3.03%	—	—	—	6.06%
5+	3.03%	3.03%	—	—	—	—	6.06%
Total	30.30%	51.52%	15.15%	—	3.03%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.97	0.94	+1.03
SD	1.49	0.86	1.79
CV	0.76	0.92	—
Max	6	4	+5
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	3.03%	3.03%	6.06%	—	—	18.18%
1	3.03%	21.21%	9.09%	3.03%	—	3.03%	39.39%
2	3.03%	6.06%	9.09%	—	—	—	18.18%
3	3.03%	6.06%	6.06%	3.03%	—	—	18.18%
4	—	3.03%	—	—	—	—	3.03%
5+	—	3.03%	—	—	—	—	3.03%
Total	15.15%	42.42%	27.27%	12.12%	—	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.58	1.52	+0.06
SD	1.25	1.20	1.82
CV	0.79	0.79	—
Max	5	6	+4
Min	0	0	-5

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	15.15%	—	9.09%	3.03%	3.03%	3.03%	33.33%
1	6.06%	21.21%	12.12%	6.06%	3.03%	3.03%	51.52%
2	3.03%	—	3.03%	3.03%	—	—	9.09%
3	3.03%	—	—	—	—	—	3.03%
4	—	—	3.03%	—	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	27.27%	21.21%	27.27%	12.12%	6.06%	6.06%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.91	1.70	-0.79
SD	0.91	1.55	1.85
CV	1.01	0.91	—
Max	4	6	+3
Min	0	0	-6

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	15.15%	—	9.09%	6.06%	—	3.03%	33.33%
1	3.03%	24.24%	6.06%	6.06%	6.06%	—	45.45%
2	—	6.06%	—	12.12%	—	—	18.18%
3	—	—	3.03%	—	—	—	3.03%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	18.18%	30.30%	18.18%	24.24%	6.06%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.91	1.79	-0.88
SD	0.80	1.34	1.43
CV	0.89	0.75	—
Max	3	5	+1
Min	0	0	-5

Games Played: 33

Home-Field Advantage Edge

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

Top Overachievers & Disappointments

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

Biggest Overachievers

#	Team	Actual	Sim	vsSim
1	Brondby	68	53.34	+14.66
2	FC Copenhagen	74	61.71	+12.29
3	Odense	69	57.70	+11.30
4	Aarhus GF	45	37.85	+7.15
5	Midtjylland	55	52.53	+2.47

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Horsens	24	36.91	-12.91
2	Vejle BK	25	35.35	-10.35
3	Aalborg	39	47.18	-8.18
4	Esbjerg	32	40.03	-8.03
5	Nordsjaelland	35	40.89	-5.89

Top Streaks

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

Most Unlikely Winning Streaks

#	Team	Games	Dates	Probability
1	Aalborg	5	Nov 16 – Mar 1	1 in 213
2	Randers	5	Apr 13 – May 3	1 in 165
3	Aarhus GF	3	Apr 19 – Apr 26	1 in 36
4	Sonderjyske	2	Apr 27 – May 3	1 in 26
5	Horsens	2	Mar 8 – Mar 15	1 in 25

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Midtjylland	3	Apr 19 – Apr 27	1 in 89
2	Sonderjyske	6	Mar 22 – Apr 22	1 in 56
3	Brondby	3	May 17 – May 31	1 in 42
4	Horsens	4	Nov 23 – Mar 1	1 in 36
5	Nordsjaelland	5	Apr 19 – May 9	1 in 33

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Aalborg	12	Oct 26 – Apr 5	1 in 256
2	Sonderjyske	7	Apr 27 – May 31	1 in 171
3	Brondby	12	Aug 31 – Dec 6	1 in 100
4	Esbjerg	7	Nov 23 – Mar 22	1 in 44
5	Odense	12	Apr 6 – May 31	1 in 20

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Aalborg	11	Apr 9 – May 31	1 in 304
2	Vejle BK	17	Aug 17 – Mar 22	1 in 217
3	Randers	8	Aug 10 – Oct 26	1 in 77
4	Horsens	12	Sep 14 – Mar 1	1 in 69
5	Nordsjaelland	9	Nov 2 – Mar 15	1 in 37

Finish Position Heatmap

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

Team	1	2	3	4	5	6	7	8	9	10	11	12
FC Copenhagen	52.06%	24.63%	11.50%	6.46%	3.00%	1.38%	0.56%	0.25%	0.13%	0.02%	0.01%	—
Odense	25.26%	29.27%	20.44%	11.98%	6.70%	3.29%	1.64%	0.90%	0.30%	0.15%	0.05%	0.02%
Brondby	10.07%	18.06%	22.12%	18.37%	13.47%	7.82%	4.93%	2.59%	1.51%	0.69%	0.31%	0.06%
Midtjylland	8.35%	15.11%	20.39%	20.44%	13.71%	9.69%	5.65%	3.37%	1.76%	0.89%	0.47%	0.17%
Randers	1.80%	4.60%	8.46%	13.41%	17.46%	16.89%	12.87%	10.03%	6.74%	4.45%	2.36%	0.93%
Aarhus GF	0.09%	0.38%	1.16%	2.54%	5.05%	8.00%	11.69%	14.56%	15.95%	16.38%	14.72%	9.48%
Aalborg	1.90%	5.44%	9.74%	14.55%	17.21%	16.27%	12.26%	9.58%	6.65%	3.79%	1.81%	0.80%
Nordsjaelland	0.25%	1.14%	2.68%	4.86%	9.06%	12.68%	15.08%	15.03%	13.97%	11.78%	8.83%	4.64%
Esbjerg	0.16%	0.92%	1.96%	4.03%	7.46%	11.23%	14.71%	15.78%	15.01%	12.87%	10.20%	5.67%
Sonderjyske	—	0.04%	0.11%	0.20%	0.75%	1.65%	2.98%	4.85%	8.21%	13.13%	22.68%	45.40%
Vejle BK	0.01%	0.12%	0.57%	1.08%	2.47%	4.74%	7.75%	10.09%	14.43%	18.24%	20.96%	19.54%
Horsens	0.05%	0.29%	0.87%	2.08%	3.66%	6.36%	9.88%	12.97%	15.34%	17.61%	17.60%	13.29%

Points Required Per Position

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

Points Totals in Context

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

Season Trends

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

Edges & Scoring

How these are measured

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

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

Home Edge

HomeDrawAway

+16.16%

Clear Edge

44.44%27.27%28.28%

Elo Value

Home Edge

172 Elo

0.006 goals per Elo point

056.65500

Scoring Tilt

Expected

+0.27 goals

Neutral

-2+0.33+2

Title Race

How these are measured

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

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

Title-Race Openness

2.8

Top-Heavy

124610

Champion Preseason Odds

52%

FC Copenhagen, 1st of 12

LongshotFavorite

Title Margin

Expected

0.15/gm

Tight Race

00.180.5/gm

Simulation-Based Surprises

How these are measured

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

Luck Spread: Standard deviation of the gap between each team's actual points and their simulated average points. The gold line is the spread the model expected from chance alone.
As Expected: under 5.6 * Some Luck: 5.6 to 8.41 * Lucky: 8.41 to 11.21 * Wild Swing: 11.21 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 1.3 * Close: 1.3 to 1.96 * Off: 1.96 to 2.61 * Way Off: 2.61 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 0.91 * A Surprise: 0.91 to 1.46 * Several Surprises: 1.46 to 2.01 * Many Surprises: 2.01 and up.

Luck Spread

Expected

9.12 points

Lucky

07.0018

Average Finish Error

Expected

1.00

Pinpoint

01.634

Biggest Overachiever

Expected 95.83%

98.39%

Brondby

50100

Biggest Underachiever

Expected 4.17%

3.09%

Horsens

050

Season Outliers

Expected

4 of 12

Minimal Outliers

01.26

Unexpected Relegations

Expected

1 of 2

A Surprise

00.92

Parity

How these are measured

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

Gini Index: How evenly points were spread across the league. Lower means a tight, balanced table; higher means a few teams ran off with most of the points.
Balanced: under 0.12 * Even: 0.12 to 0.18 * Top-Heavy: 0.18 to 0.26 * Lopsided: 0.26 and up.
Noll-Scully: How much more spread out the table was than a league where every match is a coin flip. The gold line at 1 is that coin-flip baseline. Above it, real talent gaps stretched the table; below it, the league was tighter than luck alone would produce.
Coin-Flip Parity: under 1 * Moderate Separation: 1 to 1.6 * Strong Separation: 1.6 to 2.2 * Wide Separation: 2.2 and up.
Interquartile Edge: Chance the team at the 75th percentile of Elo would beat the team at the 25th percentile on a neutral field. Higher means a bigger gap between the upper and lower half of the table.
Even: under 60% * Slight Edge: 60% to 70% * Clear Edge: 70% to 80% * Wide Edge: 80% and up.
Best vs. Worst: Chance the top-rated team would beat the bottom-rated team on a neutral field. The gold line is how large that gap tends to be in a league of this size; a dot to the right flags an unusually dominant or unusually weak team.
Even: under 70% * Clear Edge: 70% to 82% * Strong Edge: 82% to 92% * Dominant: 92% and up.
Close Games: Share of matches decided by 1 goal or fewer, draws included. The gold line is how many close games the matchups and the scoring value of an Elo point predict.
Few: under 30% * Some Drama: 30% to 40% * Frequent: 40% to 50% * Very Frequent: 50% and up.
Blowouts: Share of matches decided by 3 goals or more. The gold line is how many routs the matchups and the scoring model predict.
Rare: under 8% * Occasional: 8% to 14% * Frequent: 14% to 22% * Very Frequent: 22% and up.

Gini Index

0.21

Top-Heavy

00.120.180.260.5

Noll-Scully

Coin-flip

2.06

Strong Separation

01.003

Interquartile Edge

68%

Slight Edge

50%60%70%80%100%

Best vs. Worst

Baseline

88%

Strong Edge

50%91%100%

Close Games

Expected

66%

Very Frequent

0%61%100%

Blowouts

Expected

16%

Frequent

0%16%100%

Predictability

How these are measured

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

Brier Score: How close the pregame probabilities landed to the actual result, averaged over the season. Confident, correct calls are rewarded most; confident misses are punished most. Lower is better; since draws are possible, a score under 0.66 beats guessing the base rate.
Highly Predictable: under 0.56 * Predictable: 0.56 to 0.62 * Hard to Predict: 0.62 to 0.66 * Coin-Flip: 0.66 and up.
Matchup Imbalance: How lopsided the matchups were on paper, averaging the gap between the two win probabilities over their sum. 0 means every match was a toss-up; 1 means every match was a heavy favorite against a big underdog.
Very Even: under 0.1 * Slight Separation: 0.1 to 0.18 * Notable Separation: 0.18 to 0.28 * Lopsided: 0.28 and up.
Strangeness: How wild the final table was versus what the model expected. A value of 1 means teams landed about one standard deviation from their projections on average. Above 1 is a stranger season; below 1 hugged the projections.
Very Predictable: under 0.8 * As Expected: 0.8 to 1.1 * Wilder Than Modeled: 1.1 to 1.4 * Chaotic: 1.4 and up.
Repeatability: How closely the final table order matched the preseason Elo order, by Spearman rank correlation. Higher means last season's ratings strongly predicted this season's finish. Shows N/A for an inaugural season.
Weak Carryover: under 0.3 * Some Carryover: 0.3 to 0.6 * Strong Carryover: 0.6 to 0.85 * Near-Lock: 0.85 and up.
Upset Rate: Share of matches the underdog won. The gold line is how often the model expected underdogs to win; a dot to the right means upsets ran hotter than expected.
Chalky: under 25% * As Expected: 25% to 33% * Upset-Prone: 33% to 42% * Very Upset-Prone: 42% and up.
Clear Favorite Upset Rate: Share of matches the underdog won, counting only games with a clear favorite (at least 60% likely to win once a draw is set aside). The gold line is how often the model expected these favorites to slip.
Solid Favorites: under 15% * As Expected: 15% to 25% * Shaky Favorites: 25% to 35% * Very Shaky: 35% and up.

Brier Score

Expected

0.59

Predictable

00.612

Matchup Imbalance

0.35

Lopsided

00.10.180.280.5

Strangeness

Expected

1.69

Chaotic

01.002

Repeatability

0.71

Strong Carryover

00.30.60.851

Upset Rate

Expected

22%

Chalky

0%24%50%

Clear Favorite Upset Rate

Expected

19%

As Expected

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

Probability calibration

0.41

Well Calibrated

0.010.050.10.51

Calibration slope

Ideal

1.18

Underconfident

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.062

Well Within Noise

00.1200.3

Next-Season Status

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

Team	Same level	Direct relegation
FC Copenhagen	99.99%	0.01%
Odense	99.93%	0.07%
Brondby	99.63%	0.37%
Midtjylland	99.36%	0.64%
Aalborg	97.39%	2.61%
Randers	96.71%	3.29%
Nordsjaelland	86.53%	13.47%
Esbjerg	84.13%	15.87%
Aarhus GF	75.80%	24.20%
Horsens	69.11%	30.89%
Vejle BK	59.50%	40.50%
Sonderjyske	31.92%	68.08%

Filter by Team:

Overall Game Log

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

Date	Opponent	Score	Pre Elo	Opp Elo	Win %	Tie %	Loss %	Elo Δ	Points
2008-07-19	Aarhus GF	W 3-1	1699	1640	50.97%	27.32%	21.71%	+10.2	3
2008-07-19	@ Randers	L 1-3	1640	1699	21.71%	27.32%	50.97%	-10.2	0
2008-07-20	Brondby	L 0-2	1695	1705	42.11%	28.66%	29.23%	-19.6	0
2008-07-20	@ Nordsjaelland	W 2-0	1705	1695	29.23%	28.66%	42.11%	+19.6	3
2008-07-20	Midtjylland	L 1-2	1755	1754	43.66%	28.51%	27.84%	-10.1	0
2008-07-20	@ Aalborg	W 2-1	1754	1755	27.84%	28.51%	43.66%	+10.1	3
2008-07-20	Sonderjyske	W 2-0	1684	1624	51.02%	27.31%	21.67%	+11.7	3
2008-07-20	@ Horsens	L 0-2	1624	1684	21.67%	27.31%	51.02%	-11.7	0
2008-07-21	Esbjerg	W 1-0	1769	1700	52.11%	27.06%	20.83%	+6.0	3
2008-07-21	@ FC Copenhagen	L 0-1	1700	1769	20.83%	27.06%	52.11%	-6.0	0
2008-07-23	Odense	L 1-3	1693	1747	35.91%	28.93%	35.16%	-15.1	0
2008-07-23	@ Vejle BK	W 3-1	1747	1693	35.16%	28.93%	35.91%	+15.1	3
2008-07-26	Aalborg	W 2-1	1724	1745	40.61%	28.77%	30.62%	+7.8	6
2008-07-26	@ Brondby	L 1-2	1745	1724	30.62%	28.77%	40.61%	-7.8	0
2008-07-27	FC Copenhagen	D 1-1	1709	1775	34.32%	28.92%	36.76%	+0.1	4
2008-07-27	@ Randers	D 1-1	1775	1709	36.76%	28.92%	34.32%	-0.1	4
2008-07-27	Midtjylland	D 1-1	1613	1764	23.80%	27.84%	48.36%	+1.2	1
2008-07-27	@ Sonderjyske	D 1-1	1764	1613	48.36%	27.84%	23.80%	-1.3	4
2008-07-27	Vejle BK	L 0-1	1694	1678	45.65%	28.27%	26.08%	-11.1	0
2008-07-27	@ Esbjerg	W 1-0	1678	1694	26.08%	28.27%	45.65%	+11.1	3
2008-07-28	Horsens	W 3-1	1630	1695	34.33%	28.92%	36.75%	+15.3	3
2008-07-28	@ Aarhus GF	L 1-3	1695	1630	36.75%	28.92%	34.33%	-15.3	3
2008-08-02	Aalborg	L 2-3	1689	1737	36.68%	28.92%	34.40%	-8.4	3
2008-08-02	@ Vejle BK	W 3-2	1737	1689	34.40%	28.92%	36.68%	+8.4	3
2008-08-03	Aarhus GF	W 3-1	1762	1646	57.57%	25.48%	16.95%	+8.1	6
2008-08-03	@ Odense	L 1-3	1646	1762	16.95%	25.48%	57.57%	-8.1	3
2008-08-03	Horsens	W 2-1	1762	1680	53.76%	26.63%	19.60%	+5.4	7
2008-08-03	@ Midtjylland	L 1-2	1680	1762	19.60%	26.63%	53.76%	-5.4	3
2008-08-03	Nordsjaelland	D 1-1	1683	1675	44.50%	28.41%	27.09%	-0.9	1
2008-08-03	@ Esbjerg	D 1-1	1675	1683	27.09%	28.41%	44.50%	+0.9	1
2008-08-03	Randers	L 0-3	1732	1710	46.42%	28.16%	25.43%	-30.7	6
2008-08-03	@ Brondby	W 3-0	1710	1732	25.43%	28.16%	46.42%	+30.7	7
2008-08-04	FC Copenhagen	D 1-1	1614	1775	22.83%	27.62%	49.56%	+1.4	2
2008-08-04	@ Sonderjyske	D 1-1	1775	1614	49.56%	27.62%	22.83%	-1.4	5
2008-08-06	Nordsjaelland	W 3-1	1770	1676	55.06%	26.27%	18.67%	+8.9	9
2008-08-06	@ Odense	L 1-3	1676	1770	18.67%	26.27%	55.06%	-8.9	1
2008-08-09	Brondby	L 0-1	1675	1701	39.79%	28.82%	31.40%	-10.0	3
2008-08-09	@ Horsens	W 1-0	1701	1675	31.40%	28.82%	39.79%	+9.9	9
2008-08-09	Esbjerg	D 1-1	1746	1682	51.52%	27.19%	21.29%	-1.6	4
2008-08-09	@ Aalborg	D 1-1	1682	1746	21.29%	27.19%	51.52%	+1.6	2
2008-08-10	Aarhus GF	W 1-0	1773	1638	59.65%	24.75%	15.60%	+4.6	8
2008-08-10	@ FC Copenhagen	L 0-1	1638	1773	15.60%	24.75%	59.65%	-4.5	3
2008-08-10	Odense	W 4-0	1768	1779	41.96%	28.67%	29.38%	+28.5	10
2008-08-10	@ Midtjylland	L 0-4	1779	1768	29.38%	28.67%	41.96%	-28.5	9
2008-08-10	Randers	D 1-1	1667	1740	33.24%	28.90%	37.86%	+0.2	2
2008-08-10	@ Nordsjaelland	D 1-1	1740	1667	37.86%	28.90%	33.24%	-0.2	8
2008-08-11	Sonderjyske	W 2-1	1680	1615	51.72%	27.15%	21.13%	+5.7	6
2008-08-11	@ Vejle BK	L 1-2	1615	1680	21.13%	27.15%	51.72%	-5.7	2
2008-08-16	Esbjerg	D 1-1	1740	1684	50.64%	27.39%	21.97%	-1.5	9
2008-08-16	@ Randers	D 1-1	1684	1740	21.97%	27.39%	50.64%	+1.5	3
2008-08-17	Brondby	W 2-1	1633	1711	32.50%	28.87%	38.63%	+9.2	6
2008-08-17	@ Aarhus GF	L 1-2	1711	1633	38.63%	28.87%	32.50%	-9.2	9
2008-08-17	Midtjylland	W 3-1	1778	1796	40.91%	28.75%	30.34%	+13.3	11
2008-08-17	@ FC Copenhagen	L 1-3	1796	1778	30.34%	28.75%	40.91%	-13.3	10
2008-08-17	Odense	L 0-3	1744	1750	42.62%	28.61%	28.77%	-28.7	4
2008-08-17	@ Aalborg	W 3-0	1750	1744	28.77%	28.61%	42.62%	+28.7	12
2008-08-17	Sonderjyske	L 0-1	1668	1610	50.87%	27.34%	21.79%	-12.1	2
2008-08-17	@ Nordsjaelland	W 1-0	1610	1668	21.79%	27.34%	50.87%	+12.1	5
2008-08-17	Vejle BK	D 0-0	1665	1686	40.53%	28.77%	30.69%	-0.5	4
2008-08-17	@ Horsens	D 0-0	1686	1665	30.69%	28.77%	40.53%	+0.5	7
2008-08-30	Randers	W 2-1	1779	1739	48.69%	27.78%	23.53%	+6.3	15
2008-08-30	@ Odense	L 1-2	1739	1779	23.53%	27.78%	48.69%	-6.3	9
2008-08-31	Aalborg	L 1-2	1622	1715	30.46%	28.76%	40.78%	-7.7	5
2008-08-31	@ Sonderjyske	W 2-1	1715	1622	40.78%	28.76%	30.46%	+7.7	7
2008-08-31	FC Copenhagen	W 1-0	1702	1791	31.10%	28.80%	40.10%	+10.0	12
2008-08-31	@ Brondby	L 0-1	1791	1702	40.10%	28.80%	31.10%	-10.0	11
2008-08-31	Horsens	L 0-1	1685	1664	46.25%	28.18%	25.57%	-11.2	3
2008-08-31	@ Esbjerg	W 1-0	1664	1685	25.57%	28.18%	46.25%	+11.2	7
2008-08-31	Nordsjaelland	L 0-3	1642	1656	41.63%	28.70%	29.67%	-28.2	6
2008-08-31	@ Aarhus GF	W 3-0	1656	1642	29.67%	28.70%	41.63%	+28.2	5
2008-09-01	Vejle BK	D 1-1	1783	1687	55.37%	26.18%	18.45%	-2.0	11
2008-09-01	@ Midtjylland	D 1-1	1687	1783	18.45%	26.18%	55.37%	+2.0	8
2008-09-13	Aarhus GF	L 0-2	1723	1614	56.80%	25.73%	17.46%	-25.0	7
2008-09-13	@ Aalborg	W 2-0	1614	1723	17.46%	25.73%	56.80%	+25.0	9
2008-09-14	Brondby	D 0-0	1689	1712	40.21%	28.79%	30.99%	-0.5	9
2008-09-14	@ Vejle BK	D 0-0	1712	1689	30.99%	28.79%	40.21%	+0.5	13
2008-09-14	Esbjerg	W 3-1	1781	1674	56.53%	25.82%	17.65%	+8.4	14
2008-09-14	@ Midtjylland	L 1-3	1674	1781	17.65%	25.82%	56.53%	-8.4	3
2008-09-14	Randers	D 1-1	1675	1732	35.50%	28.93%	35.57%	+0.0	8
2008-09-14	@ Horsens	D 1-1	1732	1675	35.57%	28.93%	35.50%	+0.0	10
2008-09-15	Sonderjyske	W 2-0	1785	1614	63.30%	23.28%	13.43%	+7.3	18
2008-09-15	@ Odense	L 0-2	1614	1785	13.43%	23.28%	63.30%	-7.3	5
2008-09-20	Odense	L 1-2	1675	1793	27.56%	28.47%	43.97%	-7.2	8
2008-09-20	@ Horsens	W 2-1	1793	1675	43.97%	28.47%	27.56%	+7.2	21
2008-09-21	Aalborg	W 3-0	1781	1698	53.82%	26.62%	19.56%	+15.5	14
2008-09-21	@ FC Copenhagen	L 0-3	1698	1781	19.56%	26.62%	53.82%	-15.5	7
2008-09-21	Midtjylland	D 0-0	1732	1789	35.47%	28.93%	35.60%	+0.0	11
2008-09-21	@ Randers	D 0-0	1789	1732	35.60%	28.93%	35.47%	-0.0	15
2008-09-21	Sonderjyske	W 2-1	1639	1607	47.67%	27.96%	24.37%	+6.5	12
2008-09-21	@ Aarhus GF	L 1-2	1607	1639	24.37%	27.96%	47.67%	-6.5	5
2008-09-21	Vejle BK	W 2-1	1684	1688	42.86%	28.59%	28.55%	+7.3	8
2008-09-21	@ Nordsjaelland	L 1-2	1688	1684	28.55%	28.59%	42.86%	-7.3	9
2008-09-22	Esbjerg	W 2-1	1713	1666	49.50%	27.63%	22.87%	+6.1	16
2008-09-22	@ Brondby	L 1-2	1666	1713	22.87%	27.63%	49.50%	-6.1	3
2008-09-24	Nordsjaelland	W 2-1	1797	1691	56.39%	25.87%	17.74%	+4.9	17
2008-09-24	@ FC Copenhagen	L 1-2	1691	1797	17.74%	25.87%	56.39%	-4.9	8
2008-10-04	Horsens	D 1-1	1683	1668	45.36%	28.31%	26.34%	-1.0	8
2008-10-04	@ Aalborg	D 1-1	1668	1683	26.34%	28.31%	45.36%	+1.0	9
2008-10-05	Aarhus GF	W 1-0	1660	1645	45.34%	28.31%	26.35%	+7.3	6
2008-10-05	@ Esbjerg	L 0-1	1645	1660	26.35%	28.31%	45.34%	-7.3	12
2008-10-05	Brondby	L 0-1	1800	1719	53.60%	26.68%	19.72%	-12.6	21
2008-10-05	@ Odense	W 1-0	1719	1800	19.72%	26.68%	53.60%	+12.6	19
2008-10-05	Nordsjaelland	W 1-0	1789	1686	56.14%	25.95%	17.92%	+5.2	18
2008-10-05	@ Midtjylland	L 0-1	1686	1789	17.92%	25.95%	56.14%	-5.2	8
2008-10-05	Randers	W 1-0	1600	1732	25.83%	28.23%	45.95%	+11.1	8
2008-10-05	@ Sonderjyske	L 0-1	1732	1600	45.95%	28.23%	25.83%	-11.1	11
2008-10-06	FC Copenhagen	L 0-3	1681	1801	27.14%	28.42%	44.44%	-20.5	9
2008-10-06	@ Vejle BK	W 3-0	1801	1681	44.44%	28.42%	27.14%	+20.5	20
2008-10-18	FC Copenhagen	L 0-1	1669	1822	23.62%	27.80%	48.58%	-6.7	9
2008-10-18	@ Horsens	W 1-0	1822	1669	48.58%	27.80%	23.62%	+6.7	23
2008-10-18	Nordsjaelland	L 1-2	1682	1681	43.54%	28.52%	27.94%	-10.0	8
2008-10-18	@ Aalborg	W 2-1	1681	1682	27.94%	28.52%	43.54%	+10.1	11
2008-10-19	Brondby	D 2-2	1611	1731	27.21%	28.43%	44.36%	+0.6	9
2008-10-19	@ Sonderjyske	D 2-2	1731	1611	44.36%	28.43%	27.21%	-0.6	20
2008-10-19	Esbjerg	W 4-2	1787	1667	58.00%	25.34%	16.67%	+7.1	24
2008-10-19	@ Odense	L 2-4	1667	1787	16.67%	25.34%	58.00%	-7.1	6
2008-10-19	Vejle BK	D 1-1	1721	1660	51.23%	27.26%	21.51%	-1.5	12
2008-10-19	@ Randers	D 1-1	1660	1721	21.51%	27.26%	51.23%	+1.5	10
2008-10-20	Aarhus GF	W 2-1	1795	1638	61.81%	23.90%	14.29%	+3.9	21
2008-10-20	@ Midtjylland	L 1-2	1638	1795	14.29%	23.90%	61.81%	-3.9	12
2008-10-25	Vejle BK	W 2-1	1634	1662	39.66%	28.82%	31.51%	+7.9	15
2008-10-25	@ Aarhus GF	L 1-2	1662	1634	31.51%	28.82%	39.66%	-7.9	10
2008-10-26	Aalborg	D 2-2	1720	1672	49.64%	27.60%	22.76%	-1.0	13
2008-10-26	@ Randers	D 2-2	1672	1720	22.76%	27.60%	49.64%	+1.0	9
2008-10-26	Horsens	W 3-1	1691	1663	47.19%	28.04%	24.77%	+11.4	14
2008-10-26	@ Nordsjaelland	L 1-3	1663	1691	24.77%	28.04%	47.19%	-11.4	9
2008-10-26	Midtjylland	W 3-0	1731	1799	33.96%	28.91%	37.12%	+25.9	23
2008-10-26	@ Brondby	L 0-3	1799	1731	37.12%	28.91%	33.96%	-25.9	21
2008-10-26	Odense	D 0-0	1829	1794	47.94%	27.91%	24.15%	-1.4	24
2008-10-26	@ FC Copenhagen	D 0-0	1794	1829	24.15%	27.91%	47.94%	+1.4	25
2008-10-27	Sonderjyske	D 0-0	1660	1612	49.64%	27.60%	22.76%	-1.5	7
2008-10-27	@ Esbjerg	D 0-0	1612	1660	22.76%	27.60%	49.64%	+1.5	10
2008-11-01	Aalborg	D 1-1	1796	1673	58.30%	25.23%	16.47%	-2.2	26
2008-11-01	@ Odense	D 1-1	1673	1796	16.47%	25.23%	58.30%	+2.2	10
2008-11-02	Esbjerg	D 1-1	1702	1658	49.15%	27.69%	23.16%	-1.3	15
2008-11-02	@ Nordsjaelland	D 1-1	1658	1702	23.16%	27.69%	49.15%	+1.3	8
2008-11-02	FC Copenhagen	D 1-1	1654	1827	21.58%	27.28%	51.14%	+1.5	11
2008-11-02	@ Vejle BK	D 1-1	1827	1654	51.14%	27.28%	21.58%	-1.5	25
2008-11-02	Midtjylland	W 2-1	1642	1773	26.01%	28.25%	45.73%	+10.5	18
2008-11-02	@ Aarhus GF	L 1-2	1773	1642	45.73%	28.25%	26.01%	-10.5	21
2008-11-02	Randers	L 1-4	1613	1719	29.02%	28.64%	42.35%	-18.2	10
2008-11-02	@ Sonderjyske	W 4-1	1719	1613	42.35%	28.64%	29.02%	+18.2	16
2008-11-03	Horsens	W 4-3	1757	1651	56.40%	25.86%	17.74%	+4.5	26
2008-11-03	@ Brondby	L 3-4	1651	1757	17.74%	25.86%	56.40%	-4.5	9
2008-11-08	Odense	L 1-2	1660	1793	25.66%	28.20%	46.14%	-6.8	8
2008-11-08	@ Esbjerg	W 2-1	1793	1660	46.14%	28.20%	25.66%	+6.8	29
2008-11-09	Aarhus GF	D 1-1	1647	1653	42.65%	28.61%	28.74%	-0.7	10
2008-11-09	@ Horsens	D 1-1	1653	1647	28.74%	28.61%	42.65%	+0.7	19
2008-11-09	Brondby	D 0-0	1675	1761	31.44%	28.82%	39.74%	+0.5	11
2008-11-09	@ Aalborg	D 0-0	1761	1675	39.74%	28.82%	31.44%	-0.5	27
2008-11-09	Nordsjaelland	W 3-2	1737	1701	48.11%	27.88%	24.00%	+6.1	19
2008-11-09	@ Randers	L 2-3	1701	1737	24.00%	27.88%	48.11%	-6.1	15
2008-11-09	Sonderjyske	W 4-0	1826	1595	68.87%	20.63%	10.50%	+10.5	28
2008-11-09	@ FC Copenhagen	L 0-4	1595	1826	10.50%	20.63%	68.87%	-10.5	10
2008-11-10	Vejle BK	W 2-0	1762	1655	56.54%	25.82%	17.64%	+9.7	24
2008-11-10	@ Midtjylland	L 0-2	1655	1762	17.64%	25.82%	56.54%	-9.7	11
2008-11-15	Nordsjaelland	W 2-1	1761	1695	51.81%	27.13%	21.06%	+5.7	30
2008-11-15	@ Brondby	L 1-2	1695	1761	21.06%	27.13%	51.81%	-5.7	15
2008-11-15	Sonderjyske	D 0-0	1653	1585	52.14%	27.05%	20.81%	-1.8	20
2008-11-15	@ Aarhus GF	D 0-0	1585	1653	20.81%	27.05%	52.14%	+1.8	11
2008-11-16	Esbjerg	W 2-1	1675	1653	46.41%	28.16%	25.43%	+6.7	14
2008-11-16	@ Aalborg	L 1-2	1653	1675	25.43%	28.16%	46.41%	-6.7	8
2008-11-16	FC Copenhagen	L 0-3	1772	1836	34.43%	28.92%	36.65%	-24.5	24
2008-11-16	@ Midtjylland	W 3-0	1836	1772	36.65%	28.92%	34.43%	+24.5	31
2008-11-16	Randers	D 2-2	1646	1743	30.05%	28.73%	41.22%	+0.4	11
2008-11-16	@ Horsens	D 2-2	1743	1646	41.22%	28.73%	30.05%	-0.4	20
2008-11-16	Vejle BK	W 2-0	1800	1646	61.60%	23.99%	14.41%	+7.9	32
2008-11-16	@ Odense	L 0-2	1646	1800	14.41%	23.99%	61.60%	-7.9	11
2008-11-22	Aalborg	L 0-3	1638	1682	37.29%	28.91%	33.80%	-26.0	11
2008-11-22	@ Vejle BK	W 3-0	1682	1638	33.80%	28.91%	37.29%	+26.0	17
2008-11-22	Brondby	L 0-6	1586	1766	20.98%	27.10%	51.92%	-31.6	11
2008-11-22	@ Sonderjyske	W 6-0	1766	1586	51.92%	27.10%	20.98%	+31.7	33
2008-11-23	Aarhus GF	W 2-1	1861	1651	66.95%	21.59%	11.46%	+3.1	34
2008-11-23	@ FC Copenhagen	L 1-2	1651	1861	11.46%	21.59%	66.95%	-3.1	20
2008-11-23	Horsens	W 1-0	1646	1646	43.43%	28.53%	28.04%	+7.7	11
2008-11-23	@ Esbjerg	L 0-1	1646	1646	28.04%	28.53%	43.43%	-7.7	11
2008-11-23	Odense	L 1-4	1689	1808	27.38%	28.45%	44.17%	-17.4	15
2008-11-23	@ Nordsjaelland	W 4-1	1808	1689	44.17%	28.45%	27.38%	+17.4	35
2008-11-24	Midtjylland	L 1-2	1743	1747	42.79%	28.60%	28.61%	-9.9	20
2008-11-24	@ Randers	W 2-1	1747	1743	28.61%	28.60%	42.79%	+9.9	27
2008-11-29	Vejle BK	W 2-0	1798	1612	64.77%	22.62%	12.61%	+6.8	36
2008-11-29	@ Brondby	L 0-2	1612	1798	12.61%	22.62%	64.77%	-6.8	11
2008-11-30	FC Copenhagen	W 3-1	1708	1864	23.31%	27.73%	48.96%	+19.1	20
2008-11-30	@ Aalborg	L 1-3	1864	1708	48.96%	27.73%	23.31%	-19.1	34
2008-11-30	Nordsjaelland	W 3-0	1757	1672	54.12%	26.54%	19.35%	+15.4	30
2008-11-30	@ Midtjylland	L 0-3	1672	1757	19.35%	26.54%	54.12%	-15.4	15
2008-11-30	Randers	D 2-2	1654	1733	32.46%	28.87%	38.67%	+0.2	12
2008-11-30	@ Esbjerg	D 2-2	1733	1654	38.67%	28.87%	32.46%	-0.2	21
2008-11-30	Sonderjyske	L 0-3	1639	1555	53.93%	26.59%	19.48%	-34.7	11
2008-11-30	@ Horsens	W 3-0	1555	1639	19.48%	26.59%	53.93%	+34.7	14
2008-12-01	Odense	W 2-1	1648	1825	21.24%	27.18%	51.58%	+11.5	23
2008-12-01	@ Aarhus GF	L 1-2	1825	1648	51.58%	27.18%	21.24%	-11.5	35
2008-12-06	Brondby	L 0-1	1814	1805	44.64%	28.40%	26.97%	-10.9	35
2008-12-06	@ Odense	W 1-0	1805	1814	26.97%	28.40%	44.64%	+10.9	39
2008-12-07	Aalborg	L 1-2	1732	1727	44.13%	28.46%	27.41%	-10.2	21
2008-12-07	@ Randers	W 2-1	1727	1732	27.41%	28.46%	44.13%	+10.2	23
2008-12-07	Esbjerg	D 1-1	1605	1654	36.60%	28.92%	34.48%	-0.1	12
2008-12-07	@ Vejle BK	D 1-1	1654	1605	34.48%	28.92%	36.60%	+0.1	13
2008-12-07	Horsens	W 5-2	1845	1604	69.78%	20.15%	10.06%	+5.6	37
2008-12-07	@ FC Copenhagen	L 2-5	1604	1845	10.06%	20.15%	69.78%	-5.6	11
2008-12-07	Midtjylland	D 1-1	1590	1773	20.70%	27.01%	52.28%	+1.7	15
2008-12-07	@ Sonderjyske	D 1-1	1773	1590	52.28%	27.01%	20.70%	-1.7	31
2008-12-08	Aarhus GF	D 0-0	1656	1660	42.99%	28.58%	28.43%	-0.8	16
2008-12-08	@ Nordsjaelland	D 0-0	1660	1656	28.43%	28.58%	42.99%	+0.8	24
2009-02-28	Esbjerg	D 1-1	1771	1654	57.63%	25.46%	16.91%	-2.2	32
2009-02-28	@ Midtjylland	D 1-1	1654	1771	16.91%	25.46%	57.63%	+2.2	14
2009-03-01	Aalborg	L 0-1	1598	1737	25.07%	28.09%	46.83%	-7.0	11
2009-03-01	@ Horsens	W 1-0	1737	1598	46.83%	28.09%	25.07%	+7.0	26
2009-03-01	Nordsjaelland	D 1-1	1605	1656	36.36%	28.93%	34.71%	-0.1	13
2009-03-01	@ Vejle BK	D 1-1	1656	1605	34.71%	28.93%	36.36%	+0.1	17
2009-03-01	Randers	L 1-2	1661	1722	34.83%	28.93%	36.24%	-8.5	24
2009-03-01	@ Aarhus GF	W 2-1	1722	1661	36.24%	28.93%	34.83%	+8.5	24
2009-03-01	Sonderjyske	W 2-0	1803	1591	67.17%	21.48%	11.35%	+6.1	38
2009-03-01	@ Odense	L 0-2	1591	1803	11.35%	21.48%	67.17%	-6.1	15
2009-03-02	FC Copenhagen	L 0-1	1816	1850	38.69%	28.87%	32.45%	-9.8	39
2009-03-02	@ Brondby	W 1-0	1850	1816	32.45%	28.87%	38.69%	+9.8	40
2009-03-07	FC Copenhagen	L 0-3	1731	1860	26.14%	28.28%	45.58%	-19.9	24
2009-03-07	@ Randers	W 3-0	1860	1731	45.58%	28.28%	26.14%	+19.9	43
2009-03-08	Brondby	D 1-1	1769	1806	38.30%	28.88%	32.82%	-0.3	33
2009-03-08	@ Midtjylland	D 1-1	1806	1769	32.82%	28.88%	38.30%	+0.3	40
2009-03-08	Nordsjaelland	D 1-1	1744	1656	54.49%	26.43%	19.08%	-1.9	27
2009-03-08	@ Aalborg	D 1-1	1656	1744	19.08%	26.43%	54.49%	+1.9	18
2009-03-08	Odense	W 2-1	1591	1809	17.82%	25.90%	56.28%	+12.4	14
2009-03-08	@ Horsens	L 1-2	1809	1591	56.28%	25.90%	17.82%	-12.4	38
2009-03-08	Sonderjyske	D 0-0	1656	1585	52.46%	26.97%	20.57%	-1.9	15
2009-03-08	@ Esbjerg	D 0-0	1585	1656	20.57%	26.97%	52.46%	+1.9	16
2009-03-09	Vejle BK	D 1-1	1652	1605	49.57%	27.61%	22.82%	-1.4	25
2009-03-09	@ Aarhus GF	D 1-1	1605	1652	22.82%	27.61%	49.57%	+1.4	14
2009-03-14	Midtjylland	W 2-1	1797	1769	47.15%	28.05%	24.81%	+6.6	41
2009-03-14	@ Odense	L 1-2	1769	1797	24.81%	28.05%	47.15%	-6.6	33
2009-03-15	Aalborg	D 1-1	1587	1743	23.34%	27.74%	48.92%	+1.3	17
2009-03-15	@ Sonderjyske	D 1-1	1743	1587	48.92%	27.74%	23.34%	-1.3	28
2009-03-15	Aarhus GF	W 2-0	1806	1651	61.72%	23.94%	14.34%	+7.9	43
2009-03-15	@ Brondby	L 0-2	1651	1806	14.34%	23.94%	61.72%	-7.9	25
2009-03-15	Esbjerg	L 0-2	1880	1655	68.42%	20.86%	10.72%	-28.9	43
2009-03-15	@ FC Copenhagen	W 2-0	1655	1880	10.72%	20.86%	68.42%	+28.9	18
2009-03-15	Horsens	L 1-2	1658	1604	50.37%	27.45%	22.18%	-11.3	18
2009-03-15	@ Nordsjaelland	W 2-1	1604	1658	22.18%	27.45%	50.37%	+11.3	17
2009-03-16	Randers	D 1-1	1606	1711	29.08%	28.64%	42.28%	+0.7	15
2009-03-16	@ Vejle BK	D 1-1	1711	1606	42.28%	28.64%	29.08%	-0.6	25
2009-03-21	Brondby	L 0-2	1710	1814	29.15%	28.65%	42.20%	-14.9	25
2009-03-21	@ Randers	W 2-0	1814	1710	42.20%	28.65%	29.15%	+14.9	46
2009-03-22	Aarhus GF	W 1-0	1683	1643	48.72%	27.78%	23.51%	+6.7	21
2009-03-22	@ Esbjerg	L 0-1	1643	1683	23.51%	27.78%	48.72%	-6.7	25
2009-03-22	Nordsjaelland	L 1-3	1588	1646	35.34%	28.93%	35.73%	-14.9	17
2009-03-22	@ Sonderjyske	W 3-1	1646	1588	35.73%	28.93%	35.34%	+14.9	21
2009-03-22	Odense	W 2-1	1851	1803	49.63%	27.60%	22.77%	+6.1	46
2009-03-22	@ FC Copenhagen	L 1-2	1803	1851	22.77%	27.60%	49.63%	-6.1	41
2009-03-22	Vejle BK	D 0-0	1615	1607	44.54%	28.41%	27.05%	-1.0	18
2009-03-22	@ Horsens	D 0-0	1607	1615	27.05%	28.41%	44.54%	+1.0	16
2009-03-23	Midtjylland	W 3-2	1741	1762	40.61%	28.77%	30.62%	+7.4	31
2009-03-23	@ Aalborg	L 2-3	1762	1741	30.62%	28.77%	40.61%	-7.4	33
2009-04-04	FC Copenhagen	L 0-3	1661	1857	19.57%	26.62%	53.81%	-15.5	21
2009-04-04	@ Nordsjaelland	W 3-0	1857	1661	53.81%	26.62%	19.57%	+15.5	49
2009-04-05	Aalborg	L 1-2	1636	1749	28.14%	28.54%	43.32%	-7.3	25
2009-04-05	@ Aarhus GF	W 2-1	1749	1636	43.32%	28.54%	28.14%	+7.3	34
2009-04-05	Esbjerg	W 1-0	1829	1690	60.01%	24.61%	15.38%	+4.5	49
2009-04-05	@ Brondby	L 0-1	1690	1829	15.38%	24.61%	60.01%	-4.5	21
2009-04-05	Horsens	W 3-1	1755	1614	60.17%	24.55%	15.28%	+7.3	36
2009-04-05	@ Midtjylland	L 1-3	1614	1755	15.28%	24.55%	60.17%	-7.3	18
2009-04-05	Sonderjyske	W 3-2	1608	1573	47.92%	27.92%	24.16%	+6.1	19
2009-04-05	@ Vejle BK	L 2-3	1573	1608	24.16%	27.92%	47.92%	-6.1	17
2009-04-06	Randers	W 3-1	1797	1695	56.00%	25.99%	18.01%	+8.6	44
2009-04-06	@ Odense	L 1-3	1695	1797	18.01%	25.99%	56.00%	-8.6	25
2009-04-08	FC Copenhagen	L 1-2	1567	1873	12.31%	22.36%	65.33%	-3.3	17
2009-04-08	@ Sonderjyske	W 2-1	1873	1567	65.33%	22.36%	12.31%	+3.3	52
2009-04-09	Aalborg	W 2-0	1834	1756	53.23%	26.77%	19.99%	+10.9	52
2009-04-09	@ Brondby	L 0-2	1756	1834	19.99%	26.77%	53.23%	-10.9	34
2009-04-09	Esbjerg	W 2-1	1806	1686	58.00%	25.34%	16.67%	+4.6	47
2009-04-09	@ Odense	L 1-2	1686	1806	16.67%	25.34%	58.00%	-4.6	21
2009-04-09	Horsens	W 1-0	1629	1607	46.38%	28.16%	25.46%	+7.1	28
2009-04-09	@ Aarhus GF	L 0-1	1607	1629	25.46%	28.16%	46.38%	-7.1	18
2009-04-10	Midtjylland	L 2-3	1614	1762	24.11%	27.91%	47.99%	-6.1	19
2009-04-10	@ Vejle BK	W 3-2	1762	1614	47.99%	27.91%	24.11%	+6.1	39
2009-04-10	Randers	W 6-1	1646	1687	37.78%	28.90%	33.32%	+32.0	24
2009-04-10	@ Nordsjaelland	L 1-6	1687	1646	33.32%	28.90%	37.78%	-32.0	25
2009-04-12	Brondby	W 3-0	1600	1845	15.87%	24.90%	59.23%	+37.5	21
2009-04-12	@ Horsens	L 0-3	1845	1600	59.23%	24.90%	15.87%	-37.5	52
2009-04-12	Odense	L 0-1	1745	1810	34.29%	28.92%	36.79%	-8.9	34
2009-04-12	@ Aalborg	W 1-0	1810	1745	36.79%	28.92%	34.29%	+8.9	50
2009-04-13	Aarhus GF	W 3-2	1768	1636	59.26%	24.89%	15.85%	+4.1	42
2009-04-13	@ Midtjylland	L 2-3	1636	1768	15.85%	24.89%	59.26%	-4.1	28
2009-04-13	Sonderjyske	W 3-1	1655	1564	54.72%	26.37%	18.91%	+9.0	28
2009-04-13	@ Randers	L 1-3	1564	1655	18.91%	26.37%	54.72%	-9.0	17
2009-04-13	Vejle BK	W 4-1	1876	1608	72.15%	18.87%	8.97%	+5.6	55
2009-04-13	@ FC Copenhagen	L 1-4	1608	1876	8.97%	18.87%	72.15%	-5.7	19
2009-04-14	Nordsjaelland	L 1-2	1681	1678	43.90%	28.48%	27.62%	-10.1	21
2009-04-14	@ Esbjerg	W 2-1	1678	1681	27.62%	28.48%	43.90%	+10.1	27
2009-04-18	Sonderjyske	W 5-1	1807	1555	70.76%	19.63%	9.61%	+7.9	55
2009-04-18	@ Brondby	L 1-5	1555	1807	9.61%	19.63%	70.76%	-7.9	17
2009-04-19	Esbjerg	D 1-1	1637	1671	38.79%	28.86%	32.34%	-0.3	22
2009-04-19	@ Horsens	D 1-1	1671	1637	32.34%	28.86%	38.79%	+0.3	22
2009-04-19	FC Copenhagen	W 1-0	1632	1882	15.54%	24.71%	59.75%	+13.8	31
2009-04-19	@ Aarhus GF	L 0-1	1882	1632	59.75%	24.71%	15.54%	-13.8	55
2009-04-19	Nordsjaelland	W 3-0	1819	1688	59.22%	24.91%	15.88%	+12.7	53
2009-04-19	@ Odense	L 0-3	1688	1819	15.88%	24.91%	59.22%	-12.7	27
2009-04-19	Randers	L 0-2	1772	1664	56.72%	25.76%	17.52%	-24.9	42
2009-04-19	@ Midtjylland	W 2-0	1664	1772	17.52%	25.76%	56.72%	+24.9	31
2009-04-20	Vejle BK	D 0-0	1736	1602	59.47%	24.81%	15.72%	-2.6	35
2009-04-20	@ Aalborg	D 0-0	1602	1736	15.72%	24.81%	59.47%	+2.6	20
2009-04-22	Aarhus GF	L 0-3	1547	1646	29.84%	28.71%	41.45%	-22.1	17
2009-04-22	@ Sonderjyske	W 3-0	1646	1547	41.45%	28.71%	29.84%	+22.1	34
2009-04-22	Horsens	W 5-1	1689	1637	50.11%	27.50%	22.39%	+19.1	34
2009-04-22	@ Randers	L 1-5	1637	1689	22.39%	27.50%	50.11%	-19.1	22
2009-04-22	Midtjylland	W 2-1	1868	1747	58.07%	25.31%	16.62%	+4.6	58
2009-04-22	@ FC Copenhagen	L 1-2	1747	1868	16.62%	25.31%	58.07%	-4.6	42
2009-04-23	Aalborg	W 3-1	1671	1733	34.75%	28.93%	36.32%	+15.2	25
2009-04-23	@ Esbjerg	L 1-3	1733	1671	36.32%	28.93%	34.75%	-15.2	35
2009-04-23	Brondby	L 1-2	1675	1815	24.98%	28.08%	46.94%	-6.6	27
2009-04-23	@ Nordsjaelland	W 2-1	1815	1675	46.94%	28.08%	24.98%	+6.6	58
2009-04-23	Odense	L 0-5	1605	1832	17.11%	25.56%	57.33%	-22.0	20
2009-04-23	@ Vejle BK	W 5-0	1832	1605	57.33%	25.56%	17.11%	+22.0	56
2009-04-25	FC Copenhagen	L 0-2	1618	1873	15.22%	24.51%	60.27%	-8.4	22
2009-04-25	@ Horsens	W 2-0	1873	1618	60.27%	24.51%	15.22%	+8.4	61
2009-04-26	Nordsjaelland	W 1-0	1668	1668	43.35%	28.54%	28.11%	+7.7	37
2009-04-26	@ Aarhus GF	L 0-1	1668	1668	28.11%	28.54%	43.35%	-7.7	27
2009-04-26	Odense	D 0-0	1822	1854	38.98%	28.86%	32.16%	-0.4	59
2009-04-26	@ Brondby	D 0-0	1854	1822	32.16%	28.86%	38.98%	+0.4	57
2009-04-26	Randers	L 1-2	1718	1708	44.84%	28.37%	26.79%	-10.3	35
2009-04-26	@ Aalborg	W 2-1	1708	1718	26.79%	28.37%	44.84%	+10.3	37
2009-04-26	Vejle BK	W 3-2	1686	1583	56.19%	25.93%	17.88%	+4.7	28
2009-04-26	@ Esbjerg	L 2-3	1583	1686	17.88%	25.93%	56.19%	-4.7	20
2009-04-27	Sonderjyske	L 2-4	1743	1525	67.70%	21.22%	11.08%	-22.2	42
2009-04-27	@ Midtjylland	W 4-2	1525	1743	11.08%	21.22%	67.70%	+22.2	20
2009-05-02	Brondby	L 1-3	1578	1821	15.99%	24.97%	59.04%	-7.6	20
2009-05-02	@ Vejle BK	W 3-1	1821	1578	59.04%	24.97%	15.99%	+7.6	62
2009-05-03	Aalborg	W 3-0	1881	1708	63.47%	23.20%	13.33%	+10.6	64
2009-05-03	@ FC Copenhagen	L 0-3	1708	1881	13.33%	23.20%	63.47%	-10.6	35
2009-05-03	Esbjerg	W 1-0	1718	1691	46.97%	28.07%	24.95%	+7.0	40
2009-05-03	@ Randers	L 0-1	1691	1718	24.95%	28.07%	46.97%	-7.0	28
2009-05-03	Horsens	W 2-0	1547	1609	34.75%	28.93%	36.33%	+17.6	23
2009-05-03	@ Sonderjyske	L 0-2	1609	1547	36.33%	28.93%	34.75%	-17.6	22
2009-05-03	Midtjylland	L 0-2	1661	1720	35.10%	28.93%	35.97%	-17.1	27
2009-05-03	@ Nordsjaelland	W 2-0	1720	1661	35.97%	28.93%	35.10%	+17.1	45
2009-05-04	Aarhus GF	W 6-1	1854	1676	64.04%	22.95%	13.01%	+13.7	60
2009-05-04	@ Odense	L 1-6	1676	1854	13.01%	22.95%	64.04%	-13.7	37
2009-05-08	Midtjylland	L 2-3	1592	1738	24.35%	27.96%	47.69%	-6.1	22
2009-05-08	@ Horsens	W 3-2	1738	1592	47.69%	27.96%	24.35%	+6.1	48
2009-05-09	Nordsjaelland	W 3-1	1892	1644	70.40%	19.83%	9.77%	+4.4	67
2009-05-09	@ FC Copenhagen	L 1-3	1644	1892	9.77%	19.83%	70.40%	-4.4	27
2009-05-10	Brondby	L 1-2	1684	1829	24.46%	27.98%	47.56%	-6.5	28
2009-05-10	@ Esbjerg	W 2-1	1829	1684	47.56%	27.98%	24.46%	+6.5	65
2009-05-10	Odense	D 0-0	1725	1868	24.63%	28.01%	47.36%	+1.3	41
2009-05-10	@ Randers	D 0-0	1868	1725	47.36%	28.01%	24.63%	-1.3	61
2009-05-10	Vejle BK	D 0-0	1565	1570	42.68%	28.61%	28.71%	-0.8	24
2009-05-10	@ Sonderjyske	D 0-0	1570	1565	28.71%	28.61%	42.68%	+0.8	21
2009-05-11	Aarhus GF	D 1-1	1697	1662	48.08%	27.89%	24.03%	-1.2	36
2009-05-11	@ Aalborg	D 1-1	1662	1697	24.03%	27.89%	48.08%	+1.2	38
2009-05-13	FC Copenhagen	W 3-2	1867	1896	39.44%	28.84%	31.72%	+7.5	64
2009-05-13	@ Odense	L 2-3	1896	1867	31.72%	28.84%	39.44%	-7.5	67
2009-05-13	Horsens	D 1-1	1571	1586	41.47%	28.71%	29.82%	-0.6	22
2009-05-13	@ Vejle BK	D 1-1	1586	1571	29.82%	28.71%	41.47%	+0.6	23
2009-05-13	Sonderjyske	D 0-0	1639	1564	52.92%	26.85%	20.22%	-1.9	28
2009-05-13	@ Nordsjaelland	D 0-0	1564	1639	20.22%	26.85%	52.92%	+1.9	25
2009-05-14	Aalborg	W 2-1	1744	1696	49.60%	27.61%	22.80%	+6.1	51
2009-05-14	@ Midtjylland	L 1-2	1696	1744	22.80%	27.61%	49.60%	-6.1	36
2009-05-14	Esbjerg	W 3-1	1663	1678	41.46%	28.71%	29.83%	+13.2	41
2009-05-14	@ Aarhus GF	L 1-3	1678	1663	29.83%	28.71%	41.46%	-13.2	28
2009-05-14	Randers	W 3-0	1835	1726	56.79%	25.74%	17.47%	+14.0	68
2009-05-14	@ Brondby	L 0-3	1726	1835	17.47%	25.74%	56.79%	-14.0	41
2009-05-16	Odense	D 1-1	1566	1874	12.16%	22.23%	65.60%	+2.9	26
2009-05-16	@ Sonderjyske	D 1-1	1874	1566	65.60%	22.23%	12.16%	-2.9	65
2009-05-17	Aarhus GF	D 1-1	1712	1676	48.15%	27.88%	23.97%	-1.2	42
2009-05-17	@ Randers	D 1-1	1676	1712	23.97%	27.88%	48.15%	+1.2	42
2009-05-17	Brondby	W 4-0	1888	1849	48.53%	27.81%	23.66%	+24.0	70
2009-05-17	@ FC Copenhagen	L 0-4	1849	1888	23.66%	27.81%	48.53%	-24.0	68
2009-05-17	Horsens	D 2-2	1690	1586	56.19%	25.93%	17.88%	-1.5	37
2009-05-17	@ Aalborg	D 2-2	1586	1690	17.88%	25.93%	56.19%	+1.5	24
2009-05-17	Midtjylland	W 1-0	1664	1750	31.56%	28.83%	39.62%	+9.9	31
2009-05-17	@ Esbjerg	L 0-1	1750	1664	39.62%	28.83%	31.56%	-9.9	51
2009-05-18	Vejle BK	W 4-1	1637	1571	51.91%	27.10%	20.98%	+14.0	31
2009-05-18	@ Nordsjaelland	L 1-4	1571	1637	20.98%	27.10%	51.91%	-14.0	22
2009-05-24	Brondby	W 1-0	1677	1825	24.13%	27.91%	47.96%	+11.5	45
2009-05-24	@ Aarhus GF	L 0-1	1825	1677	47.96%	27.91%	24.13%	-11.5	68
2009-05-24	FC Copenhagen	L 0-1	1674	1912	16.34%	25.16%	58.49%	-4.8	31
2009-05-24	@ Esbjerg	W 1-0	1912	1674	58.49%	25.16%	16.34%	+4.8	73
2009-05-24	Nordsjaelland	L 2-3	1588	1651	34.56%	28.92%	36.51%	-8.0	24
2009-05-24	@ Horsens	W 3-2	1651	1588	36.51%	28.92%	34.56%	+8.0	34
2009-05-24	Odense	D 1-1	1740	1871	25.90%	28.24%	45.86%	+1.0	52
2009-05-24	@ Midtjylland	D 1-1	1871	1740	45.86%	28.24%	25.90%	-1.0	66
2009-05-24	Sonderjyske	D 1-1	1688	1569	57.93%	25.36%	16.71%	-2.2	38
2009-05-24	@ Aalborg	D 1-1	1569	1688	16.71%	25.36%	57.93%	+2.2	27
2009-05-24	Vejle BK	W 3-2	1711	1557	61.59%	23.99%	14.42%	+3.8	45
2009-05-24	@ Randers	L 2-3	1557	1711	14.42%	23.99%	61.59%	-3.8	22
2009-05-31	Aalborg	D 2-2	1659	1686	39.75%	28.82%	31.43%	-0.3	35
2009-05-31	@ Nordsjaelland	D 2-2	1686	1659	31.43%	28.82%	39.75%	+0.3	39
2009-05-31	Aarhus GF	W 2-1	1553	1689	25.40%	28.15%	46.44%	+10.6	25
2009-05-31	@ Vejle BK	L 1-2	1689	1553	46.44%	28.15%	25.40%	-10.6	45
2009-05-31	Esbjerg	D 1-1	1571	1670	29.86%	28.71%	41.43%	+0.6	28
2009-05-31	@ Sonderjyske	D 1-1	1670	1571	41.43%	28.71%	29.86%	-0.6	32
2009-05-31	Horsens	W 2-1	1870	1580	73.98%	17.85%	8.18%	+2.1	69
2009-05-31	@ Odense	L 1-2	1580	1870	8.18%	17.85%	73.98%	-2.1	24
2009-05-31	Midtjylland	L 2-4	1814	1741	52.65%	26.92%	20.42%	-18.2	68
2009-05-31	@ Brondby	W 4-2	1741	1814	20.42%	26.92%	52.65%	+18.2	55
2009-05-31	Randers	D 3-3	1917	1715	66.28%	21.91%	11.80%	-1.9	74
2009-05-31	@ FC Copenhagen	D 3-3	1715	1917	11.80%	21.91%	66.28%	+1.9	46

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	2009-03-15	10.72%	Esbjerg	1655	2	@ FC Copenhagen	1880	0
2	2009-04-27	11.08%	Sonderjyske	1525	4	@ Midtjylland	1743	2
3	2009-04-19	15.54%	@ Aarhus GF	1632	1	FC Copenhagen	1882	0
4	2009-04-12	15.87%	@ Horsens	1600	3	Brondby	1845	0
5	2008-09-13	17.46%	Aarhus GF	1614	2	@ Aalborg	1723	0
6	2009-04-19	17.52%	Randers	1664	2	@ Midtjylland	1772	0
7	2009-03-08	17.82%	@ Horsens	1591	2	Odense	1809	1
8	2008-11-30	19.48%	Sonderjyske	1555	3	@ Horsens	1639	0
9	2008-10-05	19.72%	Brondby	1719	1	@ Odense	1800	0
10	2009-05-31	20.42%	Midtjylland	1741	4	@ Brondby	1814	2
11	2008-12-01	21.24%	@ Aarhus GF	1648	2	Odense	1825	1
12	2008-08-17	21.79%	Sonderjyske	1610	1	@ Nordsjaelland	1668	0
13	2009-03-15	22.18%	Horsens	1604	2	@ Nordsjaelland	1658	1
14	2008-11-30	23.31%	@ Aalborg	1708	3	FC Copenhagen	1864	1
15	2009-05-24	24.13%	@ Aarhus GF	1677	1	Brondby	1825	0
16	2009-05-31	25.40%	@ Vejle BK	1553	2	Aarhus GF	1689	1
17	2008-08-03	25.43%	Randers	1710	3	@ Brondby	1732	0
18	2008-08-31	25.57%	Horsens	1664	1	@ Esbjerg	1685	0
19	2008-10-05	25.83%	@ Sonderjyske	1600	1	Randers	1732	0
20	2008-11-02	26.01%	@ Aarhus GF	1642	2	Midtjylland	1773	1
21	2008-07-27	26.08%	Vejle BK	1678	1	@ Esbjerg	1694	0
22	2009-04-26	26.79%	Randers	1708	2	@ Aalborg	1718	1
23	2008-12-06	26.97%	Brondby	1805	1	@ Odense	1814	0
24	2008-12-07	27.41%	Aalborg	1727	2	@ Randers	1732	1
25	2009-04-14	27.62%	Nordsjaelland	1678	2	@ Esbjerg	1681	1

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	2009-04-12	37.53	@ Horsens	3	1600	15.87%	Brondby	0	1845	59.23%	24.90%
2	2008-11-30	34.74	Sonderjyske	3	1555	19.48%	@ Horsens	0	1639	53.93%	26.59%
3	2009-04-10	31.97	@ Nordsjaelland	6	1646	37.78%	Randers	1	1687	33.32%	28.90%
4	2008-11-22	31.65	Brondby	6	1766	51.92%	@ Sonderjyske	0	1586	20.98%	27.10%
5	2008-08-03	30.73	Randers	3	1710	25.43%	@ Brondby	0	1732	46.42%	28.16%
6	2009-03-15	28.88	Esbjerg	2	1655	10.72%	@ FC Copenhagen	0	1880	68.42%	20.86%
7	2008-08-17	28.73	Odense	3	1750	28.77%	@ Aalborg	0	1744	42.62%	28.61%
8	2008-08-10	28.51	@ Midtjylland	4	1768	41.96%	Odense	0	1779	29.38%	28.67%
9	2008-08-31	28.22	Nordsjaelland	3	1656	29.67%	@ Aarhus GF	0	1642	41.63%	28.70%
10	2008-11-22	25.99	Aalborg	3	1682	33.80%	@ Vejle BK	0	1638	37.29%	28.91%
11	2008-10-26	25.91	@ Brondby	3	1731	33.96%	Midtjylland	0	1799	37.12%	28.91%
12	2008-09-13	24.96	Aarhus GF	2	1614	17.46%	@ Aalborg	0	1723	56.80%	25.73%
13	2009-04-19	24.94	Randers	2	1664	17.52%	@ Midtjylland	0	1772	56.72%	25.76%
14	2008-11-16	24.54	FC Copenhagen	3	1836	36.65%	@ Midtjylland	0	1772	34.43%	28.92%
15	2009-05-17	23.98	@ FC Copenhagen	4	1888	48.53%	Brondby	0	1849	23.66%	27.81%
16	2009-04-27	22.20	Sonderjyske	4	1525	11.08%	@ Midtjylland	2	1743	67.70%	21.22%
17	2009-04-22	22.09	Aarhus GF	3	1646	41.45%	@ Sonderjyske	0	1547	29.84%	28.71%
18	2009-04-23	22.03	Odense	5	1832	57.33%	@ Vejle BK	0	1605	17.11%	25.56%
19	2008-10-06	20.53	FC Copenhagen	3	1801	44.44%	@ Vejle BK	0	1681	27.14%	28.42%
20	2009-03-07	19.93	FC Copenhagen	3	1860	45.58%	@ Randers	0	1731	26.14%	28.28%
21	2008-07-20	19.61	Brondby	2	1705	29.23%	@ Nordsjaelland	0	1695	42.11%	28.66%
22	2008-11-30	19.13	@ Aalborg	3	1708	23.31%	FC Copenhagen	1	1864	48.96%	27.73%
23	2009-04-22	19.07	@ Randers	5	1689	50.11%	Horsens	1	1637	22.39%	27.50%
24	2008-11-02	18.24	Randers	4	1719	42.35%	@ Sonderjyske	1	1613	29.02%	28.64%
25	2009-05-31	18.17	Midtjylland	4	1741	20.42%	@ Brondby	2	1814	52.65%	26.92%