2013-14 Superliga Season

198 games

Final

Champion

Aalborg

62 points · 4th Title

Last Title: 2007-08

Relegated

Viborg

28 pts

Aarhus GF · 32 pts

Biggest Overachiever

Aalborg

12.14 points above expected

62 points · 49.86 expected points

Biggest Disappointment

Aarhus GF

10.12 points below expected

32 points · 42.12 expected points

League Table

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

#	Team	GP	W	D	L	Pts	GF	GA	GD	SimPts	vsSim
1	Aalborg Champion	33	18	8	7	62	60	38	+22	49.86	+12.14
2	FC Copenhagen	33	15	11	7	56	54	38	+16	53.12	+2.88
3	Midtjylland	33	16	7	10	55	61	38	+23	53.12	+1.88
4	Brondby	33	13	13	7	52	47	38	+9	44.20	+7.80
5	Esbjerg	33	13	9	11	48	47	38	+9	48.01	-0.01
6	Nordsjaelland	33	13	7	13	46	38	44	-6	46.84	-0.84
7	Randers	33	9	14	10	41	41	45	-4	41.36	-0.36
8	Odense	33	10	10	13	40	47	46	+1	43.69	-3.69
9	Vestsjaelland	33	8	14	11	38	31	42	-11	36.02	+1.98
10	Sonderjyske	33	10	8	15	38	41	53	-12	39.39	-1.39
11	Aarhus GF Relegated	33	9	5	19	32	38	60	-22	42.12	-10.12
12	Viborg Relegated	33	6	10	17	28	38	63	-25	37.32	-9.32

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	Aalborg	62	49.86	+12.14
2	Brondby	52	44.20	+7.80
3	FC Copenhagen	56	53.12	+2.88
4	Vestsjaelland	38	36.02	+1.98
5	Midtjylland	55	53.12	+1.88

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Aarhus GF	32	42.12	-10.12
2	Viborg	28	37.32	-9.32
3	Odense	40	43.69	-3.69
4	Sonderjyske	38	39.39	-1.39
5	Nordsjaelland	46	46.84	-0.84

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	Randers	4	Apr 4 – Apr 20	1 in 170
2	Midtjylland	5	Jul 19 – Aug 16	1 in 108
3	Aalborg	4	Mar 30 – Apr 16	1 in 50
4	Brondby	3	Sep 15 – Sep 28	1 in 40
5	Esbjerg	3	Feb 24 – Mar 9	1 in 18

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Viborg	7	Apr 13 – May 11	1 in 217
2	Sonderjyske	6	Sep 29 – Nov 9	1 in 184
3	Esbjerg	4	Oct 6 – Nov 3	1 in 169
4	Aarhus GF	6	Mar 24 – Apr 21	1 in 165
5	Nordsjaelland	4	Aug 25 – Sep 22	1 in 93

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Brondby	9	Sep 15 – Nov 24	1 in 77
2	Midtjylland	12	Jul 19 – Oct 19	1 in 49
3	Aalborg	10	Oct 27 – Mar 16	1 in 33
4	Vestsjaelland	6	Aug 5 – Sep 15	1 in 32
5	FC Copenhagen	9	Oct 6 – Feb 23	1 in 13

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Esbjerg	8	Oct 6 – Dec 8	1 in 55
2	FC Copenhagen	6	Jul 21 – Aug 25	1 in 25
3	Midtjylland	5	Sep 21 – Oct 26	1 in 24
4	Viborg	10	Mar 30 – May 18	1 in 17
5	Brondby	7	Jul 21 – Sep 1	1 in 15

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
Aalborg	1653	62	+1	10	8.6	+1.4
FC Copenhagen	1672	56	+8	10	8.2	+1.8
Midtjylland	1650	55	-23	4	8.4	-4.4
Brondby	1619	52	+9	7	7.1	-0.1
Esbjerg	1614	48	+21	11	7.2	+3.8
Nordsjaelland	1593	46	+11	10	6.7	+3.3
Randers	1557	41	-11	3	6.8	-3.8
Odense	1573	40	-3	6	6.3	-0.3
Sonderjyske	1554	38	+28	10	6.0	+4.0
Vestsjaelland	1503	38	+3	6	4.9	+1.1
Aarhus GF	1496	32	-13	3	6.0	-3.0
Viborg	1467	28	-31	1	5.0	-4.0

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	MID	NOR	ODE	RAN	SON	VES	VIB
Aalborg	—	2-1-0 5.01	2-1-0 4.56	1-1-1 4.14	2-0-1 3.65	2-1-0 3.56	1-1-1 4.16	2-1-0 4.49	1-0-2 4.67	2-0-1 4.70	0-2-1 5.34	3-0-0 4.98
Aarhus GF	0-1-2 3.13	—	0-0-3 3.97	1-0-2 3.44	0-2-1 2.88	0-0-3 3.26	1-0-2 3.82	1-0-2 3.76	1-1-1 4.10	2-0-1 4.21	1-1-1 4.47	2-0-1 4.39
Brondby	0-1-2 3.52	3-0-0 4.12	—	1-1-1 3.91	1-1-1 3.37	2-0-1 3.17	1-2-0 3.95	1-1-1 4.06	1-2-0 4.42	1-1-1 4.54	1-2-0 4.93	1-2-0 4.36
Esbjerg	1-1-1 3.95	2-0-1 4.65	1-1-1 4.16	—	0-3-0 3.41	0-2-1 3.62	3-0-0 3.99	2-0-1 4.58	0-0-3 4.69	2-0-1 5.05	1-1-1 5.15	1-1-1 5.09
FC Copenhagen	1-0-2 4.43	1-2-0 5.26	1-1-1 4.72	0-3-0 4.69	—	1-0-2 4.10	1-1-1 4.53	3-0-0 5.05	0-2-1 5.20	2-1-0 5.40	2-1-0 5.68	3-0-0 5.20
Midtjylland	0-1-2 4.52	3-0-0 4.86	1-0-2 4.94	1-2-0 4.46	2-0-1 3.97	—	1-0-2 4.86	0-1-2 4.99	2-1-0 5.00	2-0-1 5.27	2-1-0 5.67	2-1-0 5.37
Nordsjaelland	1-1-1 3.91	2-0-1 4.26	0-2-1 4.12	0-0-3 4.07	1-1-1 3.55	2-0-1 3.24	—	2-0-1 4.09	2-1-0 4.49	1-0-2 4.66	0-1-2 5.19	2-1-0 5.08
Odense	0-1-2 3.59	2-0-1 4.31	1-1-1 4.02	1-0-2 3.51	0-0-3 3.07	2-1-0 3.13	1-0-2 3.98	—	1-2-0 4.14	1-2-0 4.37	0-1-2 4.83	1-2-0 4.68
Randers	2-0-1 3.44	1-1-1 3.97	0-2-1 3.66	3-0-0 3.40	1-2-0 2.93	0-1-2 3.12	0-1-2 3.59	0-2-1 3.93	—	1-1-1 4.48	0-2-1 4.52	1-2-0 4.17
Sonderjyske	1-0-2 3.39	1-0-2 3.86	1-1-1 3.55	1-0-2 3.07	0-1-2 2.75	1-0-2 2.88	2-0-1 3.43	0-2-1 3.70	1-1-1 3.60	—	1-2-0 4.45	1-1-1 4.30
Vestsjaelland	1-2-0 2.82	1-1-1 3.62	0-2-1 3.19	1-1-1 2.98	0-1-2 2.52	0-1-2 2.53	2-1-0 2.94	2-1-0 3.27	1-2-0 3.56	0-2-1 3.64	—	0-0-3 3.64
Viborg	0-0-3 3.14	1-0-2 3.69	0-2-1 3.72	1-1-1 3.05	0-0-3 2.95	0-1-2 2.80	0-1-2 3.04	0-2-1 3.41	0-2-1 3.90	1-1-1 3.79	3-0-0 4.44	—

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	0.69	+9.2
Allowed	0.76	-10.1
Differential	0.92	+6.1

Scoreline Distribution

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

View:

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	7.58%	8.08%	4.80%	2.78%	1.01%	0.25%	24.49%
1	8.08%	14.65%	6.82%	5.30%	1.77%	0.76%	37.37%
2	4.80%	6.82%	7.07%	2.27%	0.51%	0.76%	22.22%
3	2.78%	5.30%	2.27%	—	—	0.25%	10.61%
4	1.01%	1.77%	0.51%	—	—	—	3.28%
5+	0.25%	0.76%	0.76%	0.25%	—	—	2.02%
Total	24.49%	37.37%	22.22%	10.61%	3.28%	2.02%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.37	1.37	+0.00
SD	1.18	1.18	1.70
CV	0.86	0.86	—
Max	6	6	+5
Min	0	0	-5

Games Played: 198

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.82	1.15	+0.67
SD	1.38	1.00	1.57
CV	0.76	0.87	—
Max	5	3	+5
Min	0	0	-3

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.15	1.82	-0.67
SD	1.35	1.38	1.98
CV	1.17	0.76	—
Max	6	5	+3
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	12.12%	3.03%	6.06%	—	—	—	21.21%
1	12.12%	15.15%	6.06%	3.03%	—	—	36.36%
2	3.03%	6.06%	12.12%	—	—	3.03%	24.24%
3	3.03%	9.09%	3.03%	—	—	—	15.15%
4	—	3.03%	—	—	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	30.30%	36.36%	27.27%	3.03%	—	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.42	1.15	+0.27
SD	1.09	1.09	1.40
CV	0.77	0.95	—
Max	4	5	+3
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	12.12%	9.09%	3.03%	6.06%	—	—	30.30%
1	6.06%	9.09%	6.06%	6.06%	—	—	27.27%
2	6.06%	9.09%	6.06%	3.03%	—	—	24.24%
3	3.03%	6.06%	—	—	—	—	9.09%
4	3.03%	3.03%	—	—	—	—	6.06%
5+	—	3.03%	—	—	—	—	3.03%
Total	30.30%	39.39%	15.15%	15.15%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.42	1.15	+0.27
SD	1.35	1.03	1.81
CV	0.95	0.90	—
Max	5	3	+4
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	6.06%	—	—	—	—	9.09%
1	12.12%	24.24%	6.06%	3.03%	—	3.03%	48.48%
2	6.06%	6.06%	6.06%	3.03%	—	—	21.21%
3	3.03%	3.03%	6.06%	—	—	—	12.12%
4	3.03%	6.06%	—	—	—	—	9.09%
5+	—	—	—	—	—	—	—
Total	27.27%	45.45%	18.18%	6.06%	—	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.64	1.15	+0.48
SD	1.11	1.09	1.58
CV	0.68	0.95	—
Max	4	5	+4
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	6.06%	12.12%	6.06%	6.06%	—	—	30.30%
2	6.06%	6.06%	3.03%	6.06%	—	—	21.21%
3	9.09%	6.06%	3.03%	—	—	—	18.18%
4	3.03%	—	—	—	—	—	3.03%
5+	—	3.03%	6.06%	—	—	—	9.09%
Total	30.30%	36.36%	21.21%	12.12%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.85	1.15	+0.70
SD	1.48	1.00	1.78
CV	0.80	0.87	—
Max	5	3	+4
Min	0	0	-2

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	6.06%	3.03%	—	6.06%	—	18.18%
1	21.21%	12.12%	15.15%	3.03%	3.03%	—	54.55%
2	6.06%	6.06%	6.06%	—	3.03%	—	21.21%
3	3.03%	3.03%	—	—	—	—	6.06%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	33.33%	27.27%	24.24%	3.03%	12.12%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.15	1.33	-0.18
SD	0.80	1.31	1.67
CV	0.69	0.99	—
Max	3	4	+3
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	15.15%	3.03%	—	—	—	24.24%
1	6.06%	18.18%	9.09%	3.03%	—	—	36.36%
2	3.03%	9.09%	6.06%	6.06%	—	—	24.24%
3	—	3.03%	—	—	—	3.03%	6.06%
4	—	3.03%	3.03%	—	—	—	6.06%
5+	—	3.03%	—	—	—	—	3.03%
Total	15.15%	51.52%	21.21%	9.09%	—	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.42	1.39	+0.03
SD	1.28	1.17	1.47
CV	0.90	0.84	—
Max	5	6	+4
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	9.09%	6.06%	3.03%	—	—	21.21%
1	6.06%	33.33%	3.03%	6.06%	3.03%	—	51.52%
2	—	3.03%	6.06%	—	—	—	9.09%
3	3.03%	9.09%	6.06%	—	—	—	18.18%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	12.12%	54.55%	21.21%	9.09%	3.03%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.24	1.36	-0.12
SD	1.00	0.93	1.41
CV	0.81	0.68	—
Max	3	4	+3
Min	0	0	-3

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.24	1.61	-0.36
SD	1.03	1.32	1.90
CV	0.83	0.82	—
Max	4	5	+4
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	15.15%	12.12%	9.09%	—	3.03%	—	39.39%
1	3.03%	18.18%	—	6.06%	3.03%	—	30.30%
2	3.03%	15.15%	9.09%	—	—	—	27.27%
3	—	3.03%	—	—	—	—	3.03%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	21.21%	48.48%	18.18%	6.06%	6.06%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.94	1.27	-0.33
SD	0.90	1.07	1.36
CV	0.96	0.84	—
Max	3	4	+2
Min	0	0	-4

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.15	1.91	-0.76
SD	1.03	1.49	1.82
CV	0.90	0.78	—
Max	4	5	+3
Min	0	0	-5

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
FC Copenhagen	1672	56	53.12	+2.88	66.0%	30	39	48	53	58	65	76
Aalborg	1653	62	49.86	+12.14	96.0%	36	39	46	49	54	60	67
Midtjylland	1650	55	53.12	+1.88	61.0%	34	40	48	53	59	62	67
Brondby	1619	52	44.20	+7.80	90.0%	15	31	40	45	49	55	63
Esbjerg	1614	48	48.01	-0.01	55.0%	27	38	42	47	53	60	64
Nordsjaelland	1593	46	46.84	-0.84	47.0%	28	34	42	47	51	60	66
Odense	1573	40	43.69	-3.69	32.0%	23	28	37	45	49	56	62
Randers	1557	41	41.36	-0.36	53.0%	25	29	37	41	46	54	64
Sonderjyske	1554	38	39.39	-1.39	48.0%	30	32	35	39	43	50	53
Vestsjaelland	1503	38	36.02	+1.98	66.0%	25	25	31	36	41	47	50
Aarhus GF	1496	32	42.12	-10.12	10.0%	29	32	37	41	47	55	58
Viborg	1467	28	37.32	-9.32	10.0%	18	25	32	38	43	47	55

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

+6.06%

No Edge

38.38%29.29%32.32%

Elo Value

Home Edge: 21.08 Elo pts.

185 Elo

0.005 goals per Elo point

0500

Scoring Tilt

Expected

+0.07 goals

Neutral

-2+0.11+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

4.7

Open

134610

Champion Preseason Odds

13%

Aalborg, 4th of 12

LongshotFavorite

Title Margin

Expected

0.18/gm

Comfortable

00.140.5/gm

Simulation-Based Surprises

How these are measured

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

Luck Spread: Standard deviation of the gap between each team's actual points and their simulated average points. The gold line is the spread the model expected from chance alone.
As Expected: under 5.7 * Some Luck: 5.7 to 8.54 * Lucky: 8.54 to 11.39 * Wild Swing: 11.39 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 1.86 * Close: 1.86 to 2.78 * Off: 2.78 to 3.71 * Way Off: 3.71 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 1.16 * A Surprise: 1.16 to 1.86 * Several Surprises: 1.86 to 2.55 * Many Surprises: 2.55 and up.

Luck Spread

Expected

5.98 points

Some Luck

07.1218

Average Finish Error

Expected

1.50

Pinpoint

02.325

Biggest Overachiever

Expected 95.83%

96.00%

Aalborg

50100

Biggest Underachiever

Expected 4.17%

10.00%

Aarhus GF

050

Season Outliers

Expected

1 of 12

Minimal Outliers

01.26

Unexpected Relegations

Expected

1 of 2

As Expected

01.22

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

0.13

Even

00.120.5

Noll-Scully

Elo SD: 66.50

1.40

Moderate Separation

0.651.351.61.92.5

Interquartile Edge

62%

Slight Edge

50%59%69%100%

Best vs. Worst

Baseline

76%

Even

50%79%100%

Close Games

Expected

64%

Very Frequent

0%62%100%

Blowouts

Expected

15%

Rare

0%14%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

0.65

Hard to Predict

00.652

Matchup Imbalance

0.21

Very Even

00.280.370.5

Strangeness

Expected

0.75

Very Predictable

01.002

Repeatability

0.58

Strong Carryover

00.30.50.631

Upset Rate

Expected

30%

Upset-Prone

0%28%50%

Clear Favorite Upset Rate

Expected

27%

Very Shaky

0%24%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 0.17 * Above Noise: 0.17 to 0.23 * Well Above Noise: 0.23 and up.

Probability calibration

0.66

Excellent

0.010.050.10.51

Calibration slope

Ideal

0.85

Calibrated

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.050

Well Within Noise

00.1160.3

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
Aalborg	13.00%	19.00%	12.00%	19.00%	11.00%	5.00%	9.00%	3.00%	7.00%	2.00%	—	—
FC Copenhagen	30.00%	18.00%	15.00%	14.00%	7.00%	3.00%	5.00%	3.00%	—	2.00%	2.00%	1.00%
Midtjylland	28.00%	18.00%	23.00%	6.00%	12.00%	2.00%	3.00%	4.00%	2.00%	2.00%	—	—
Brondby	2.00%	8.00%	10.00%	9.00%	13.00%	17.00%	10.00%	8.00%	6.00%	5.00%	3.00%	9.00%
Esbjerg	14.00%	12.00%	9.00%	9.00%	11.00%	11.00%	13.00%	11.00%	3.00%	4.00%	1.00%	2.00%
Nordsjaelland	6.00%	9.00%	6.00%	12.00%	17.00%	15.00%	10.00%	6.00%	8.00%	6.00%	2.00%	3.00%
Randers	1.00%	2.00%	6.00%	11.00%	4.00%	8.00%	5.00%	11.00%	18.00%	9.00%	16.00%	9.00%
Odense	3.00%	10.00%	6.00%	11.00%	9.00%	11.00%	11.00%	7.00%	8.00%	7.00%	10.00%	7.00%
Vestsjaelland	—	—	1.00%	—	5.00%	3.00%	7.00%	13.00%	8.00%	19.00%	16.00%	28.00%
Sonderjyske	—	—	1.00%	3.00%	5.00%	8.00%	9.00%	12.00%	15.00%	17.00%	24.00%	6.00%
Aarhus GF	3.00%	3.00%	9.00%	5.00%	4.00%	6.00%	10.00%	15.00%	10.00%	14.00%	11.00%	10.00%
Viborg	—	1.00%	2.00%	1.00%	2.00%	11.00%	8.00%	7.00%	15.00%	13.00%	15.00%	25.00%

Points Required Per Position

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

Next-Season Status

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

Team	Same level	Direct relegation
Aalborg	100%	—
Midtjylland	100%	—
Esbjerg	97.00%	3.00%
FC Copenhagen	97.00%	3.00%
Nordsjaelland	95.00%	5.00%
Brondby	88.00%	12.00%
Odense	83.00%	17.00%
Aarhus GF	79.00%	21.00%
Randers	75.00%	25.00%
Sonderjyske	70.00%	30.00%
Viborg	60.00%	40.00%
Vestsjaelland	56.00%	44.00%

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
2013-07-19	Midtjylland	L 0-2	53.8	1582	1600	34.94%	31.07%	33.99%	+0.02	-10.5	0
2013-07-19	@ Aarhus GF	W 2-0	53.8	1600	1582	33.99%	31.07%	34.94%	-0.02	+10.5	3
2013-07-20	Randers	D 2-2	70.6	1540	1561	34.51%	31.07%	34.41%	+0.00	+0.0	1
2013-07-20	@ Viborg	D 2-2	70.6	1561	1540	34.41%	31.07%	34.51%	+0.00	+0.0	1
2013-07-21	FC Copenhagen	W 2-1	65.4	1576	1636	29.25%	30.73%	40.03%	-0.21	+5.8	3
2013-07-21	@ Aalborg	L 1-2	65.4	1636	1576	40.03%	30.73%	29.25%	+0.21	-5.8	0
2013-07-21	Vestsjaelland	D 1-1	64.7	1569	1521	44.22%	30.01%	25.77%	+0.37	-0.6	1
2013-07-21	@ Brondby	D 1-1	64.7	1521	1569	25.77%	30.01%	44.22%	-0.37	+0.6	1
2013-07-21	Sonderjyske	D 1-1	65.9	1567	1574	36.37%	31.03%	32.60%	+0.07	-0.1	1
2013-07-21	@ Odense	D 1-1	65.9	1574	1567	32.60%	31.03%	36.37%	-0.07	+0.1	1
2013-07-22	Nordsjaelland	W 4-0	52.9	1598	1625	33.50%	31.06%	35.44%	-0.04	+20.2	3
2013-07-22	@ Esbjerg	L 0-4	52.9	1625	1598	35.44%	31.06%	33.50%	+0.04	-20.2	0
2013-07-26	Viborg	D 1-1	66.5	1605	1540	46.56%	29.44%	24.00%	+0.47	-0.7	1
2013-07-26	@ Nordsjaelland	D 1-1	66.5	1540	1605	24.00%	29.44%	46.56%	-0.47	+0.7	2
2013-07-27	Aarhus GF	L 0-2	49.9	1522	1572	30.50%	30.88%	38.62%	-0.16	-9.5	1
2013-07-27	@ Vestsjaelland	W 2-0	49.9	1572	1522	38.62%	30.88%	30.50%	+0.16	+9.6	3
2013-07-28	Brondby	W 1-0	55.3	1574	1569	38.33%	30.91%	30.76%	+0.15	+5.1	4
2013-07-28	@ Sonderjyske	L 0-1	55.3	1569	1574	30.76%	30.91%	38.33%	-0.15	-5.1	1
2013-07-28	FC Copenhagen	W 1-0	58.7	1611	1631	34.64%	31.07%	34.29%	+0.01	+5.5	6
2013-07-28	@ Midtjylland	L 0-1	58.7	1631	1611	34.29%	31.07%	34.64%	-0.01	-5.5	0
2013-07-28	Odense	D 1-1	65.5	1561	1566	36.70%	31.02%	32.29%	+0.08	-0.1	2
2013-07-28	@ Randers	D 1-1	65.5	1566	1561	32.29%	31.02%	36.70%	-0.08	+0.1	2
2013-07-29	Aalborg	L 1-2	65.8	1618	1582	42.51%	30.35%	27.14%	+0.31	-6.0	3
2013-07-29	@ Esbjerg	W 2-1	65.8	1582	1618	27.14%	30.35%	42.51%	-0.31	+6.1	6
2013-08-02	Sonderjyske	W 2-1	61.0	1616	1580	42.65%	30.33%	27.02%	+0.31	+4.4	9
2013-08-02	@ Midtjylland	L 1-2	61.0	1580	1616	27.02%	30.33%	42.65%	-0.31	-4.4	4
2013-08-03	Nordsjaelland	W 2-1	63.3	1581	1605	34.17%	31.07%	34.76%	-0.01	+5.2	6
2013-08-03	@ Aarhus GF	L 1-2	63.3	1605	1581	34.76%	31.07%	34.17%	+0.01	-5.2	1
2013-08-04	Esbjerg	L 0-2	52.3	1563	1612	30.74%	30.90%	38.35%	-0.15	-9.6	1
2013-08-04	@ Brondby	W 2-0	52.3	1612	1563	38.35%	30.90%	30.74%	+0.15	+9.6	6
2013-08-04	Randers	L 1-3	62.8	1625	1561	46.45%	29.47%	24.08%	+0.46	-11.2	0
2013-08-04	@ FC Copenhagen	W 3-1	62.8	1561	1625	24.08%	29.47%	46.45%	-0.46	+11.2	5
2013-08-04	Viborg	W 4-2	59.4	1567	1541	41.13%	30.58%	28.29%	+0.25	+7.0	5
2013-08-04	@ Odense	L 2-4	59.4	1541	1567	28.29%	30.58%	41.13%	-0.25	-7.0	2
2013-08-05	Aalborg	W 2-1	62.9	1512	1588	27.34%	30.40%	42.27%	-0.30	+6.0	4
2013-08-05	@ Vestsjaelland	L 1-2	62.9	1588	1512	42.27%	30.40%	27.34%	+0.30	-6.0	6
2013-08-09	Brondby	D 2-2	70.1	1534	1554	34.63%	31.07%	34.30%	+0.01	-0.0	3
2013-08-09	@ Viborg	D 2-2	70.1	1554	1534	34.30%	31.07%	34.63%	-0.01	+0.0	2
2013-08-10	Aarhus GF	W 5-1	53.8	1621	1587	42.38%	30.38%	27.25%	+0.30	+13.9	9
2013-08-10	@ Esbjerg	L 1-5	53.8	1587	1621	27.25%	30.38%	42.38%	-0.30	-13.9	6
2013-08-11	FC Copenhagen	D 2-2	73.6	1599	1614	35.41%	31.06%	33.53%	+0.04	-0.0	2
2013-08-11	@ Nordsjaelland	D 2-2	73.6	1614	1599	33.53%	31.06%	35.41%	-0.04	+0.0	1
2013-08-11	Midtjylland	L 1-3	58.6	1572	1621	30.70%	30.90%	38.40%	-0.15	-8.3	5
2013-08-11	@ Randers	W 3-1	58.6	1621	1572	38.40%	30.90%	30.70%	+0.15	+8.3	12
2013-08-11	Odense	D 0-0	61.8	1582	1574	38.71%	30.87%	30.42%	+0.16	-0.3	7
2013-08-11	@ Aalborg	D 0-0	61.8	1574	1582	30.42%	30.87%	38.71%	-0.16	+0.3	6
2013-08-12	Vestsjaelland	D 0-0	60.2	1575	1518	45.46%	29.73%	24.81%	+0.42	-0.7	5
2013-08-12	@ Sonderjyske	D 0-0	60.2	1518	1575	24.81%	29.73%	45.46%	-0.42	+0.7	5
2013-08-16	Brondby	W 5-2	55.5	1629	1554	47.90%	29.06%	23.04%	+0.52	+8.1	15
2013-08-16	@ Midtjylland	L 2-5	55.5	1554	1629	23.04%	29.06%	47.90%	-0.52	-8.1	2
2013-08-17	Aalborg	W 2-1	61.5	1599	1582	39.96%	30.74%	29.30%	+0.21	+4.6	5
2013-08-17	@ Nordsjaelland	L 1-2	61.5	1582	1599	29.30%	30.74%	39.96%	-0.21	-4.6	7
2013-08-18	Aarhus GF	D 1-1	67.4	1614	1573	43.28%	30.21%	26.51%	+0.34	-0.5	2
2013-08-18	@ FC Copenhagen	D 1-1	67.4	1573	1614	26.51%	30.21%	43.28%	-0.34	+0.5	7
2013-08-18	Odense	D 1-1	64.5	1519	1574	29.89%	30.81%	39.30%	-0.18	+0.3	6
2013-08-18	@ Vestsjaelland	D 1-1	64.5	1574	1519	39.30%	30.81%	29.89%	+0.18	-0.3	7
2013-08-18	Viborg	L 0-3	52.0	1574	1534	43.21%	30.22%	26.57%	+0.33	-17.8	5
2013-08-18	@ Sonderjyske	W 3-0	52.0	1534	1574	26.57%	30.22%	43.21%	-0.33	+17.8	6
2013-08-19	Esbjerg	W 3-2	70.7	1564	1635	27.87%	30.50%	41.63%	-0.27	+5.6	8
2013-08-19	@ Randers	L 2-3	70.7	1635	1564	41.63%	30.50%	27.87%	+0.27	-5.7	9
2013-08-23	Sonderjyske	W 3-1	56.5	1573	1557	39.85%	30.75%	29.40%	+0.20	+8.1	10
2013-08-23	@ Aarhus GF	L 1-3	56.5	1557	1573	29.40%	30.75%	39.85%	-0.20	-8.1	5
2013-08-25	Esbjerg	W 3-1	61.7	1552	1629	27.13%	30.35%	42.52%	-0.31	+10.5	9
2013-08-25	@ Viborg	L 1-3	61.7	1629	1552	42.52%	30.35%	27.13%	+0.31	-10.5	9
2013-08-25	Nordsjaelland	W 1-0	57.8	1574	1604	33.15%	31.05%	35.80%	-0.05	+5.7	10
2013-08-25	@ Odense	L 0-1	57.8	1604	1574	35.80%	31.05%	33.15%	+0.05	-5.7	5
2013-08-25	Randers	D 0-0	60.5	1546	1569	34.11%	31.07%	34.83%	-0.01	+0.0	3
2013-08-25	@ Brondby	D 0-0	60.5	1569	1546	34.83%	31.07%	34.11%	+0.01	-0.0	9
2013-08-25	Vestsjaelland	D 1-1	66.5	1613	1519	50.44%	28.24%	21.32%	+0.62	-0.9	3
2013-08-25	@ FC Copenhagen	D 1-1	66.5	1519	1613	21.32%	28.24%	50.44%	-0.62	+0.9	7
2013-08-26	Midtjylland	D 1-1	67.8	1577	1637	29.29%	30.73%	39.98%	-0.21	+0.3	8
2013-08-26	@ Aalborg	D 1-1	67.8	1637	1577	39.98%	30.73%	29.29%	+0.21	-0.3	16
2013-08-30	Aarhus GF	L 3-6	60.7	1579	1581	37.19%	30.99%	31.82%	+0.10	-10.8	10
2013-08-30	@ Odense	W 6-3	60.7	1581	1579	31.82%	30.99%	37.19%	-0.10	+10.8	13
2013-09-01	Brondby	W 2-1	59.3	1578	1546	41.98%	30.44%	27.58%	+0.29	+4.4	11
2013-09-01	@ Aalborg	L 1-2	59.3	1546	1578	27.58%	30.44%	41.98%	-0.29	-4.4	3
2013-09-01	FC Copenhagen	L 1-4	55.4	1562	1612	30.48%	30.88%	38.65%	-0.16	-11.7	9
2013-09-01	@ Viborg	W 4-1	55.4	1612	1562	38.65%	30.88%	30.48%	+0.16	+11.7	6
2013-09-01	Midtjylland	D 1-1	68.5	1619	1637	34.96%	31.07%	33.97%	+0.02	-0.0	10
2013-09-01	@ Esbjerg	D 1-1	68.5	1637	1619	33.97%	31.07%	34.96%	-0.02	+0.0	17
2013-09-01	Vestsjaelland	L 1-2	64.9	1598	1520	48.31%	28.94%	22.75%	+0.54	-6.7	5
2013-09-01	@ Nordsjaelland	W 2-1	64.9	1520	1598	22.75%	28.94%	48.31%	-0.54	+6.7	10
2013-09-02	Sonderjyske	L 0-2	53.6	1569	1549	40.42%	30.68%	28.90%	+0.23	-11.7	9
2013-09-02	@ Randers	W 2-0	53.6	1549	1569	28.90%	30.68%	40.42%	-0.23	+11.7	8
2013-09-13	Aalborg	L 1-3	58.5	1560	1582	34.38%	31.07%	34.55%	+0.00	-9.0	8
2013-09-13	@ Sonderjyske	W 3-1	58.5	1582	1560	34.55%	31.07%	34.38%	+0.00	+9.0	14
2013-09-14	Esbjerg	D 1-1	68.4	1624	1619	38.23%	30.91%	30.85%	+0.14	-0.2	7
2013-09-14	@ FC Copenhagen	D 1-1	68.4	1619	1624	30.85%	30.91%	38.23%	-0.14	+0.2	11
2013-09-15	Odense	W 2-1	61.4	1541	1568	33.61%	31.06%	35.33%	-0.03	+5.3	6
2013-09-15	@ Brondby	L 1-2	61.4	1568	1541	35.33%	31.06%	33.61%	+0.03	-5.3	10
2013-09-15	Randers	W 2-0	51.2	1527	1558	33.08%	31.05%	35.87%	-0.05	+10.7	13
2013-09-15	@ Vestsjaelland	L 0-2	51.2	1558	1527	35.87%	31.05%	33.08%	+0.05	-10.7	9
2013-09-15	Viborg	L 0-1	58.9	1592	1550	43.35%	30.19%	26.45%	+0.34	-6.5	13
2013-09-15	@ Aarhus GF	W 1-0	58.9	1550	1592	26.45%	30.19%	43.35%	-0.34	+6.5	12
2013-09-16	Nordsjaelland	W 2-1	61.3	1637	1592	43.82%	30.10%	26.08%	+0.36	+4.2	20
2013-09-16	@ Midtjylland	L 1-2	61.3	1592	1637	26.08%	30.10%	43.82%	-0.36	-4.2	5
2013-09-20	Aalborg	W 3-2	68.1	1547	1591	31.29%	30.95%	37.76%	-0.12	+5.3	12
2013-09-20	@ Randers	L 2-3	68.1	1591	1547	37.76%	30.95%	31.29%	+0.12	-5.3	14
2013-09-21	Viborg	D 0-0	63.5	1641	1557	49.08%	28.70%	22.22%	+0.57	-0.9	21
2013-09-21	@ Midtjylland	D 0-0	63.5	1557	1641	22.22%	28.70%	49.08%	-0.57	+0.9	13
2013-09-22	Brondby	L 1-3	60.5	1586	1547	42.98%	30.27%	26.75%	+0.32	-10.6	13
2013-09-22	@ Aarhus GF	W 3-1	60.5	1547	1586	26.75%	30.27%	42.98%	-0.32	+10.6	9
2013-09-22	Nordsjaelland	W 2-0	53.1	1551	1587	32.37%	31.02%	36.61%	-0.08	+10.9	11
2013-09-22	@ Sonderjyske	L 0-2	53.1	1587	1551	36.61%	31.02%	32.37%	+0.08	-10.9	5
2013-09-22	Odense	W 2-1	59.8	1624	1563	45.98%	29.60%	24.42%	+0.44	+4.0	10
2013-09-22	@ FC Copenhagen	L 1-2	59.8	1563	1624	24.42%	29.60%	45.98%	-0.44	-4.0	10
2013-09-23	Esbjerg	L 1-3	56.3	1537	1619	26.69%	30.25%	43.06%	-0.33	-7.5	13
2013-09-23	@ Vestsjaelland	W 3-1	56.3	1619	1537	43.06%	30.25%	26.69%	+0.33	+7.5	14
2013-09-27	Vestsjaelland	W 2-0	48.8	1558	1530	41.44%	30.53%	28.03%	+0.26	+9.0	16
2013-09-27	@ Viborg	L 0-2	48.8	1530	1558	28.03%	30.53%	41.44%	-0.26	-9.0	13
2013-09-28	FC Copenhagen	W 3-2	70.4	1557	1628	27.95%	30.52%	41.53%	-0.27	+5.6	12
2013-09-28	@ Brondby	L 2-3	70.4	1628	1557	41.53%	30.52%	27.95%	+0.27	-5.7	10
2013-09-29	Aarhus GF	D 0-0	61.9	1586	1575	39.01%	30.84%	30.15%	+0.17	-0.3	15
2013-09-29	@ Aalborg	D 0-0	61.9	1575	1586	30.15%	30.84%	39.01%	-0.17	+0.3	14
2013-09-29	Midtjylland	D 1-1	67.7	1559	1640	26.79%	30.27%	42.94%	-0.32	+0.5	11
2013-09-29	@ Odense	D 1-1	67.7	1640	1559	42.94%	30.27%	26.79%	+0.32	-0.5	22
2013-09-29	Sonderjyske	W 4-1	53.4	1627	1562	46.48%	29.47%	24.06%	+0.46	+9.7	17
2013-09-29	@ Esbjerg	L 1-4	53.4	1562	1627	24.06%	29.47%	46.48%	-0.46	-9.7	11
2013-09-30	Randers	W 1-0	54.1	1576	1552	40.93%	30.61%	28.46%	+0.25	+4.8	8
2013-09-30	@ Nordsjaelland	L 0-1	54.1	1552	1576	28.46%	30.61%	40.93%	-0.25	-4.8	12
2013-10-05	Aarhus GF	D 2-2	71.3	1547	1575	33.49%	31.06%	35.45%	-0.04	+0.0	13
2013-10-05	@ Randers	D 2-2	71.3	1575	1547	35.45%	31.06%	33.49%	+0.04	-0.0	15
2013-10-06	Brondby	D 1-1	66.1	1581	1563	40.10%	30.72%	29.18%	+0.21	-0.3	9
2013-10-06	@ Nordsjaelland	D 1-1	66.1	1563	1581	29.18%	30.72%	40.10%	-0.21	+0.3	13
2013-10-06	Odense	L 1-3	63.3	1636	1560	48.12%	29.00%	22.88%	+0.53	-11.5	17
2013-10-06	@ Esbjerg	W 3-1	63.3	1560	1636	22.88%	29.00%	48.12%	-0.53	+11.5	14
2013-10-06	Sonderjyske	W 2-1	59.1	1622	1552	47.20%	29.27%	23.53%	+0.49	+3.9	13
2013-10-06	@ FC Copenhagen	L 1-2	59.1	1552	1622	23.53%	29.27%	47.20%	-0.49	-3.9	11
2013-10-06	Viborg	W 3-1	57.1	1585	1567	40.12%	30.72%	29.16%	+0.21	+8.0	18
2013-10-06	@ Aalborg	L 1-3	57.1	1567	1585	29.16%	30.72%	40.12%	-0.21	-8.0	16
2013-10-07	Vestsjaelland	D 2-2	73.6	1639	1521	53.57%	27.04%	19.38%	+0.75	-0.8	23
2013-10-07	@ Midtjylland	D 2-2	73.6	1521	1639	19.38%	27.04%	53.57%	-0.75	+0.8	14
2013-10-18	Nordsjaelland	L 0-1	57.5	1575	1581	36.68%	31.02%	32.30%	+0.08	-5.8	15
2013-10-18	@ Aarhus GF	W 1-0	57.5	1581	1575	32.30%	31.02%	36.68%	-0.08	+5.8	12
2013-10-19	Randers	D 1-1	67.9	1639	1547	50.05%	28.38%	21.58%	+0.61	-0.9	24
2013-10-19	@ Midtjylland	D 1-1	67.9	1547	1639	21.58%	28.38%	50.05%	-0.61	+0.9	14
2013-10-20	Aalborg	W 3-0	50.2	1626	1593	42.11%	30.42%	27.46%	+0.29	+12.8	16
2013-10-20	@ FC Copenhagen	L 0-3	50.2	1593	1626	27.46%	30.42%	42.11%	-0.29	-12.8	18
2013-10-20	Esbjerg	W 2-1	65.2	1522	1625	24.43%	29.60%	45.98%	-0.44	+6.4	17
2013-10-20	@ Vestsjaelland	L 1-2	65.2	1625	1522	45.98%	29.60%	24.43%	+0.44	-6.4	17
2013-10-20	Viborg	D 0-0	60.8	1563	1559	38.10%	30.92%	30.97%	+0.14	-0.2	14
2013-10-20	@ Brondby	D 0-0	60.8	1559	1563	30.97%	30.92%	38.10%	-0.14	+0.2	17
2013-10-21	Odense	L 1-5	53.8	1549	1571	34.26%	31.07%	34.67%	-0.01	-16.4	11
2013-10-21	@ Sonderjyske	W 5-1	53.8	1571	1549	34.67%	31.07%	34.26%	+0.01	+16.4	17
2013-10-25	Vestsjaelland	W 4-1	51.9	1559	1528	41.85%	30.47%	27.69%	+0.28	+10.9	20
2013-10-25	@ Viborg	L 1-4	51.9	1528	1559	27.69%	30.47%	41.85%	-0.28	-10.9	17
2013-10-26	Midtjylland	W 2-1	65.3	1587	1638	30.38%	30.87%	38.75%	-0.16	+5.7	15
2013-10-26	@ Nordsjaelland	L 1-2	65.3	1638	1587	38.75%	30.87%	30.38%	+0.16	-5.7	24
2013-10-27	Brondby	D 0-0	61.7	1588	1563	40.97%	30.60%	28.43%	+0.25	-0.4	18
2013-10-27	@ Odense	D 0-0	61.7	1563	1588	28.43%	30.60%	40.97%	-0.25	+0.4	15
2013-10-27	FC Copenhagen	D 1-1	67.5	1548	1639	25.70%	30.00%	44.30%	-0.38	+0.6	15
2013-10-27	@ Randers	D 1-1	67.5	1639	1548	44.30%	30.00%	25.70%	+0.38	-0.6	17
2013-10-27	Sonderjyske	W 2-0	48.8	1581	1532	44.29%	30.00%	25.71%	+0.38	+8.4	21
2013-10-27	@ Aalborg	L 0-2	48.8	1532	1581	25.71%	30.00%	44.29%	-0.38	-8.4	11
2013-10-28	Aarhus GF	L 0-2	56.5	1618	1570	44.35%	29.99%	25.66%	+0.38	-12.5	17
2013-10-28	@ Esbjerg	W 2-0	56.5	1570	1618	25.66%	29.99%	44.35%	-0.38	+12.5	18
2013-11-01	Randers	L 1-3	56.1	1524	1549	33.90%	31.07%	35.04%	-0.02	-8.9	11
2013-11-01	@ Sonderjyske	W 3-1	56.1	1549	1524	35.04%	31.07%	33.90%	+0.02	+8.9	18
2013-11-02	Nordsjaelland	W 4-0	49.9	1638	1592	43.96%	30.07%	25.97%	+0.36	+16.0	20
2013-11-02	@ FC Copenhagen	L 0-4	49.9	1592	1638	25.97%	30.07%	43.96%	-0.36	-16.0	15
2013-11-02	Odense	W 1-0	56.4	1589	1587	37.75%	30.95%	31.29%	+0.12	+5.2	24
2013-11-02	@ Aalborg	L 0-1	56.4	1587	1589	31.29%	30.95%	37.75%	-0.12	-5.2	18
2013-11-03	Esbjerg	W 3-0	50.9	1632	1606	41.20%	30.57%	28.23%	+0.26	+13.1	27
2013-11-03	@ Midtjylland	L 0-3	50.9	1606	1632	28.23%	30.57%	41.20%	-0.26	-13.1	17
2013-11-03	Viborg	W 2-1	60.9	1582	1570	39.20%	30.82%	29.98%	+0.18	+4.7	21
2013-11-03	@ Aarhus GF	L 1-2	60.9	1570	1582	29.98%	30.82%	39.20%	-0.18	-4.7	20
2013-11-04	Brondby	L 0-2	49.6	1517	1563	31.04%	30.93%	38.03%	-0.13	-9.7	17
2013-11-04	@ Vestsjaelland	W 2-0	49.6	1563	1517	38.03%	30.93%	31.04%	+0.13	+9.7	18
2013-11-08	Midtjylland	L 2-3	66.5	1565	1645	26.89%	30.30%	42.81%	-0.32	-4.1	20
2013-11-08	@ Viborg	W 3-2	66.5	1645	1565	42.81%	30.30%	26.89%	+0.32	+4.1	30
2013-11-09	Sonderjyske	W 3-0	45.6	1576	1515	46.07%	29.57%	24.35%	+0.45	+11.6	18
2013-11-09	@ Nordsjaelland	L 0-3	45.6	1515	1576	24.35%	29.57%	46.07%	-0.45	-11.6	11
2013-11-10	Aarhus GF	W 3-0	50.8	1573	1587	35.53%	31.06%	33.41%	+0.04	+14.8	21
2013-11-10	@ Brondby	L 0-3	50.8	1587	1573	33.41%	31.06%	35.53%	-0.04	-14.8	21
2013-11-10	FC Copenhagen	D 1-1	68.5	1593	1654	29.05%	30.70%	40.25%	-0.22	+0.3	18
2013-11-10	@ Esbjerg	D 1-1	68.5	1654	1593	40.25%	30.70%	29.05%	+0.22	-0.3	21
2013-11-10	Vestsjaelland	L 1-3	60.3	1582	1508	47.79%	29.10%	23.11%	+0.52	-11.5	18
2013-11-10	@ Odense	W 3-1	60.3	1508	1582	23.11%	29.10%	47.79%	-0.52	+11.5	20
2013-11-11	Aalborg	L 1-4	55.4	1558	1594	32.33%	31.02%	36.66%	-0.08	-12.2	18
2013-11-11	@ Randers	W 4-1	55.4	1594	1558	36.66%	31.02%	32.33%	+0.08	+12.2	27
2013-11-22	Esbjerg	W 1-0	57.6	1503	1593	25.79%	30.02%	44.19%	-0.37	+6.6	14
2013-11-22	@ Sonderjyske	L 0-1	57.6	1593	1503	44.19%	30.02%	25.79%	+0.37	-6.6	18
2013-11-23	Odense	D 1-1	65.2	1546	1570	33.92%	31.07%	35.02%	-0.02	+0.0	19
2013-11-23	@ Randers	D 1-1	65.2	1570	1546	35.02%	31.07%	33.92%	+0.02	-0.0	19
2013-11-24	Brondby	L 0-1	61.7	1649	1588	46.06%	29.58%	24.36%	+0.45	-6.8	30
2013-11-24	@ Midtjylland	W 1-0	61.7	1588	1649	24.36%	29.58%	46.06%	-0.45	+6.8	24
2013-11-24	Vestsjaelland	D 2-2	70.6	1572	1519	44.88%	29.87%	25.26%	+0.40	-0.4	22
2013-11-24	@ Aarhus GF	D 2-2	70.6	1519	1572	25.26%	29.87%	44.88%	-0.40	+0.4	21
2013-11-24	Viborg	W 4-1	52.9	1654	1561	50.28%	28.30%	21.43%	+0.62	+8.7	24
2013-11-24	@ FC Copenhagen	L 1-4	52.9	1561	1654	21.43%	28.30%	50.28%	-0.62	-8.7	20
2013-11-25	Nordsjaelland	D 1-1	67.4	1606	1588	40.10%	30.72%	29.18%	+0.21	-0.3	28
2013-11-25	@ Aalborg	D 1-1	67.4	1588	1606	29.18%	30.72%	40.10%	-0.21	+0.3	19
2013-11-29	Midtjylland	L 0-1	52.7	1520	1642	22.51%	28.83%	48.66%	-0.55	-3.9	21
2013-11-29	@ Vestsjaelland	W 1-0	52.7	1642	1520	48.66%	28.83%	22.51%	+0.55	+4.0	33
2013-11-30	Sonderjyske	D 2-2	69.5	1552	1510	43.48%	30.17%	26.35%	+0.34	-0.4	21
2013-11-30	@ Viborg	D 2-2	69.5	1510	1552	26.35%	30.17%	43.48%	-0.34	+0.4	15
2013-12-01	Aarhus GF	W 4-1	55.0	1570	1571	37.35%	30.98%	31.67%	+0.11	+12.0	22
2013-12-01	@ Odense	L 1-4	55.0	1571	1570	31.67%	30.98%	37.35%	-0.11	-12.0	22
2013-12-01	FC Copenhagen	L 1-3	59.1	1595	1663	28.26%	30.57%	41.17%	-0.25	-7.8	24
2013-12-01	@ Brondby	W 3-1	59.1	1663	1595	41.17%	30.57%	28.26%	+0.25	+7.8	27
2013-12-01	Randers	D 1-1	66.0	1588	1546	43.50%	30.17%	26.34%	+0.34	-0.5	20
2013-12-01	@ Nordsjaelland	D 1-1	66.0	1546	1588	26.34%	30.17%	43.50%	-0.34	+0.5	20
2013-12-02	Aalborg	D 2-2	73.1	1586	1606	34.69%	31.07%	34.24%	+0.01	-0.0	19
2013-12-02	@ Esbjerg	D 2-2	73.1	1606	1586	34.24%	31.07%	34.69%	-0.01	+0.0	29
2013-12-06	Odense	W 2-0	52.2	1588	1582	38.24%	30.91%	30.85%	+0.14	+9.6	23
2013-12-06	@ Nordsjaelland	L 0-2	52.2	1582	1588	30.85%	30.91%	38.24%	-0.14	-9.6	22
2013-12-07	Vestsjaelland	W 1-0	50.5	1671	1516	58.15%	24.98%	16.87%	+0.95	+2.9	30
2013-12-07	@ FC Copenhagen	L 0-1	50.5	1516	1671	16.87%	24.98%	58.15%	-0.95	-3.0	21
2013-12-08	Aarhus GF	W 3-0	47.7	1646	1559	49.49%	28.56%	21.95%	+0.58	+10.6	36
2013-12-08	@ Midtjylland	L 0-3	47.7	1559	1646	21.95%	28.56%	49.49%	-0.58	-10.6	22
2013-12-08	Brondby	D 1-1	64.8	1510	1587	27.27%	30.38%	42.35%	-0.30	+0.5	16
2013-12-08	@ Sonderjyske	D 1-1	64.8	1587	1510	42.35%	30.38%	27.27%	+0.30	-0.4	25
2013-12-08	Esbjerg	W 1-0	57.0	1546	1586	31.78%	30.99%	37.23%	-0.10	+5.8	23
2013-12-08	@ Randers	L 0-1	57.0	1586	1546	37.23%	30.99%	31.78%	+0.10	-5.8	19
2013-12-09	Viborg	W 5-0	48.8	1606	1552	45.05%	29.83%	25.12%	+0.41	+19.2	32
2013-12-09	@ Aalborg	L 0-5	48.8	1552	1606	25.12%	29.83%	45.05%	-0.41	-19.2	21
2014-02-21	Sonderjyske	L 0-4	47.6	1513	1511	37.77%	30.95%	31.28%	+0.12	-21.1	21
2014-02-21	@ Vestsjaelland	W 4-0	47.6	1511	1513	31.28%	30.95%	37.77%	-0.12	+21.1	19
2014-02-22	Midtjylland	W 2-1	66.6	1573	1657	26.42%	30.19%	43.40%	-0.34	+6.2	25
2014-02-22	@ Odense	L 1-2	66.6	1657	1573	43.40%	30.19%	26.42%	+0.34	-6.2	36
2014-02-23	Aalborg	D 2-2	73.6	1586	1625	31.99%	31.00%	37.01%	-0.10	+0.1	26
2014-02-23	@ Brondby	D 2-2	73.6	1625	1586	37.01%	31.00%	31.99%	+0.10	-0.1	33
2014-02-23	FC Copenhagen	D 1-1	68.6	1549	1674	22.34%	28.75%	48.91%	-0.56	+0.8	23
2014-02-23	@ Aarhus GF	D 1-1	68.6	1674	1549	48.91%	28.75%	22.34%	+0.56	-0.8	31
2014-02-23	Randers	D 1-1	64.2	1533	1552	34.75%	31.07%	34.18%	+0.01	-0.0	22
2014-02-23	@ Viborg	D 1-1	64.2	1552	1533	34.18%	31.07%	34.75%	-0.01	+0.0	24
2014-02-24	Nordsjaelland	W 2-1	62.9	1581	1597	35.09%	31.07%	33.85%	+0.02	+5.1	22
2014-02-24	@ Esbjerg	L 1-2	62.9	1597	1581	33.85%	31.07%	35.09%	-0.02	-5.2	23
2014-02-28	Viborg	W 2-0	48.7	1592	1533	45.79%	29.64%	24.56%	+0.44	+8.1	26
2014-02-28	@ Nordsjaelland	L 0-2	48.7	1533	1592	24.56%	29.64%	45.79%	-0.44	-8.0	22
2014-03-01	Aarhus GF	L 1-2	60.3	1532	1550	34.93%	31.07%	34.00%	+0.02	-5.3	19
2014-03-01	@ Sonderjyske	W 2-1	60.3	1550	1532	34.00%	31.07%	34.93%	-0.02	+5.3	26
2014-03-02	Brondby	L 0-1	55.8	1552	1587	32.57%	31.03%	36.40%	-0.07	-5.3	24
2014-03-02	@ Randers	W 1-0	55.8	1587	1552	36.40%	31.03%	32.57%	+0.07	+5.3	29
2014-03-02	Midtjylland	L 1-5	59.8	1673	1651	40.60%	30.65%	28.75%	+0.23	-18.5	31
2014-03-02	@ FC Copenhagen	W 5-1	59.8	1651	1673	28.75%	30.65%	40.60%	-0.23	+18.5	39
2014-03-02	Odense	W 1-0	55.9	1586	1579	38.46%	30.89%	30.65%	+0.15	+5.1	25
2014-03-02	@ Esbjerg	L 0-1	55.9	1579	1586	30.65%	30.89%	38.46%	-0.15	-5.1	25
2014-03-02	Vestsjaelland	D 0-0	62.0	1625	1492	55.49%	26.22%	18.29%	+0.84	-1.3	34
2014-03-02	@ Aalborg	D 0-0	62.0	1492	1625	18.29%	26.22%	55.49%	-0.84	+1.3	22
2014-03-07	Randers	D 1-1	62.6	1493	1547	30.04%	30.83%	39.13%	-0.18	+0.3	23
2014-03-07	@ Vestsjaelland	D 1-1	62.6	1547	1493	39.13%	30.83%	30.04%	+0.18	-0.3	25
2014-03-08	Aalborg	L 2-5	57.4	1555	1624	28.17%	30.56%	41.27%	-0.26	-9.5	26
2014-03-08	@ Aarhus GF	W 5-2	57.4	1624	1555	41.27%	30.56%	28.17%	+0.26	+9.5	37
2014-03-09	Esbjerg	L 1-3	55.8	1525	1591	28.50%	30.61%	40.89%	-0.24	-7.9	22
2014-03-09	@ Viborg	W 3-1	55.8	1591	1525	40.89%	30.61%	28.50%	+0.24	+7.9	28
2014-03-09	FC Copenhagen	L 0-1	56.0	1574	1654	26.85%	30.29%	42.87%	-0.32	-4.6	25
2014-03-09	@ Odense	W 1-0	56.0	1654	1574	42.87%	30.29%	26.85%	+0.32	+4.6	34
2014-03-09	Nordsjaelland	W 4-1	56.6	1592	1600	36.27%	31.03%	32.69%	+0.07	+12.3	32
2014-03-09	@ Brondby	L 1-4	56.6	1600	1592	32.69%	31.03%	36.27%	-0.07	-12.3	26
2014-03-10	Sonderjyske	W 2-0	47.3	1669	1527	56.65%	25.69%	17.66%	+0.89	+5.8	42
2014-03-10	@ Midtjylland	L 0-2	47.3	1527	1669	17.66%	25.69%	56.65%	-0.89	-5.8	19
2014-03-14	FC Copenhagen	D 0-0	63.2	1521	1659	21.17%	28.16%	50.67%	-0.63	+1.0	20
2014-03-14	@ Sonderjyske	D 0-0	63.2	1659	1521	50.67%	28.16%	21.17%	+0.63	-1.0	35
2014-03-15	Vestsjaelland	L 1-2	64.1	1588	1493	50.52%	28.21%	21.27%	+0.63	-6.9	26
2014-03-15	@ Nordsjaelland	W 2-1	64.1	1493	1588	21.27%	28.21%	50.52%	-0.63	+6.9	26
2014-03-16	Brondby	D 0-0	62.9	1599	1604	36.72%	31.01%	32.27%	+0.08	-0.2	29
2014-03-16	@ Esbjerg	D 0-0	62.9	1604	1599	32.27%	31.01%	36.72%	-0.08	+0.1	33
2014-03-16	Midtjylland	W 1-0	60.6	1633	1675	31.58%	30.97%	37.45%	-0.11	+5.9	40
2014-03-16	@ Aalborg	L 0-1	60.6	1675	1633	37.45%	30.97%	31.58%	+0.11	-5.9	42
2014-03-16	Viborg	D 1-1	64.6	1569	1517	44.84%	29.88%	25.29%	+0.40	-0.6	26
2014-03-16	@ Odense	D 1-1	64.6	1517	1569	25.29%	29.88%	44.84%	-0.40	+0.6	23
2014-03-17	Aarhus GF	L 1-3	57.8	1546	1545	37.63%	30.96%	31.41%	+0.12	-9.6	25
2014-03-17	@ Randers	W 3-1	57.8	1545	1546	31.41%	30.96%	37.63%	-0.12	+9.6	29
2014-03-21	Viborg	L 0-1	52.4	1500	1518	34.99%	31.07%	33.94%	+0.02	-5.6	26
2014-03-21	@ Vestsjaelland	W 1-0	52.4	1518	1500	33.94%	31.07%	34.99%	-0.02	+5.6	26
2014-03-22	Nordsjaelland	L 0-1	62.7	1669	1581	49.65%	28.51%	21.84%	+0.59	-7.2	42
2014-03-22	@ Midtjylland	W 1-0	62.7	1581	1669	21.84%	28.51%	49.65%	-0.59	+7.2	29
2014-03-23	Aalborg	W 3-2	71.2	1522	1639	23.01%	29.05%	47.93%	-0.52	+6.3	23
2014-03-23	@ Sonderjyske	L 2-3	71.2	1639	1522	47.93%	29.05%	23.01%	+0.52	-6.3	40
2014-03-23	Odense	L 1-2	65.1	1604	1569	42.51%	30.35%	27.14%	+0.31	-6.1	33
2014-03-23	@ Brondby	W 2-1	65.1	1569	1604	27.14%	30.35%	42.51%	-0.31	+6.0	29
2014-03-23	Randers	D 1-1	68.6	1658	1537	53.91%	26.90%	19.19%	+0.77	-1.1	36
2014-03-23	@ FC Copenhagen	D 1-1	68.6	1537	1658	19.19%	26.90%	53.91%	-0.77	+1.1	26
2014-03-24	Esbjerg	L 0-3	50.0	1555	1599	31.35%	30.96%	37.70%	-0.12	-14.2	29
2014-03-24	@ Aarhus GF	W 3-0	50.0	1599	1555	37.70%	30.96%	31.35%	+0.12	+14.2	32
2014-03-28	Sonderjyske	D 2-2	70.9	1575	1528	44.06%	30.05%	25.89%	+0.37	-0.4	30
2014-03-28	@ Odense	D 2-2	70.9	1528	1575	25.89%	30.05%	44.06%	-0.37	+0.4	24
2014-03-29	Vestsjaelland	D 0-0	61.5	1613	1495	53.56%	27.05%	19.39%	+0.75	-1.2	33
2014-03-29	@ Esbjerg	D 0-0	61.5	1495	1613	19.39%	27.05%	53.56%	-0.75	+1.2	27
2014-03-30	Brondby	L 0-1	53.5	1523	1598	27.44%	30.42%	42.15%	-0.29	-4.7	26
2014-03-30	@ Viborg	W 1-0	53.5	1598	1523	42.15%	30.42%	27.44%	+0.29	+4.7	36
2014-03-30	FC Copenhagen	W 2-1	65.3	1633	1657	34.08%	31.07%	34.85%	-0.01	+5.3	43
2014-03-30	@ Aalborg	L 1-2	65.3	1657	1633	34.85%	31.07%	34.08%	+0.01	-5.2	36
2014-03-30	Midtjylland	L 0-3	47.8	1538	1662	22.39%	28.78%	48.84%	-0.56	-10.8	26
2014-03-30	@ Randers	W 3-0	47.8	1662	1538	48.84%	28.78%	22.39%	+0.56	+10.8	45
2014-03-31	Aarhus GF	W 1-0	53.2	1588	1541	44.16%	30.03%	25.81%	+0.37	+4.5	32
2014-03-31	@ Nordsjaelland	L 0-1	53.2	1541	1588	25.81%	30.03%	44.16%	-0.37	-4.5	29
2014-04-04	Randers	L 0-1	55.1	1536	1527	38.80%	30.86%	30.33%	+0.16	-6.0	29
2014-04-04	@ Aarhus GF	W 1-0	55.1	1527	1536	30.33%	30.86%	38.80%	-0.16	+6.0	29
2014-04-05	Aalborg	L 2-3	72.8	1673	1638	42.39%	30.37%	27.23%	+0.30	-5.7	45
2014-04-05	@ Midtjylland	W 3-2	72.8	1638	1673	27.23%	30.37%	42.39%	-0.30	+5.7	46
2014-04-06	Esbjerg	W 1-0	57.7	1603	1612	36.25%	31.04%	32.71%	+0.07	+5.3	39
2014-04-06	@ Brondby	L 0-1	57.7	1612	1603	32.71%	31.04%	36.25%	-0.07	-5.3	33
2014-04-06	Odense	D 2-2	70.4	1518	1574	29.75%	30.80%	39.45%	-0.19	+0.2	27
2014-04-06	@ Viborg	D 2-2	70.4	1574	1518	39.45%	30.80%	29.75%	+0.19	-0.2	31
2014-04-06	Sonderjyske	W 2-0	47.7	1651	1528	54.16%	26.80%	19.04%	+0.78	+6.3	39
2014-04-06	@ FC Copenhagen	L 0-2	47.7	1528	1651	19.04%	26.80%	54.16%	-0.78	-6.3	24
2014-04-07	Nordsjaelland	D 0-0	60.1	1496	1593	25.03%	29.80%	45.17%	-0.41	+0.7	28
2014-04-07	@ Vestsjaelland	D 0-0	60.1	1593	1496	45.17%	29.80%	25.03%	+0.41	-0.7	33
2014-04-11	Vestsjaelland	D 1-1	61.9	1522	1496	41.13%	30.58%	28.30%	+0.25	-0.4	25
2014-04-11	@ Sonderjyske	D 1-1	61.9	1496	1522	28.30%	30.58%	41.13%	-0.25	+0.4	29
2014-04-12	Odense	L 0-2	58.8	1667	1574	50.28%	28.29%	21.42%	+0.62	-13.7	45
2014-04-12	@ Midtjylland	W 2-0	58.8	1574	1667	21.42%	28.29%	50.28%	-0.62	+13.7	34
2014-04-13	Aarhus GF	W 1-0	51.6	1658	1530	54.72%	26.56%	18.72%	+0.80	+3.3	42
2014-04-13	@ FC Copenhagen	L 0-1	51.6	1530	1658	18.72%	26.56%	54.72%	-0.80	-3.3	29
2014-04-13	Brondby	W 2-0	52.7	1644	1608	42.52%	30.35%	27.13%	+0.31	+8.7	49
2014-04-13	@ Aalborg	L 0-2	52.7	1608	1644	27.13%	30.35%	42.52%	-0.31	-8.7	39
2014-04-13	Viborg	W 3-1	54.0	1533	1519	39.55%	30.78%	29.66%	+0.19	+8.1	32
2014-04-13	@ Randers	L 1-3	54.0	1519	1533	29.66%	30.78%	39.55%	-0.19	-8.1	27
2014-04-14	Esbjerg	L 0-1	58.2	1592	1606	35.46%	31.06%	33.48%	+0.04	-5.6	33
2014-04-14	@ Nordsjaelland	W 1-0	58.2	1606	1592	33.48%	31.06%	35.46%	-0.04	+5.6	36
2014-04-16	Aalborg	L 0-2	48.2	1511	1653	20.84%	27.97%	51.19%	-0.65	-6.9	27
2014-04-16	@ Viborg	W 2-0	48.2	1653	1511	51.19%	27.97%	20.84%	+0.65	+6.9	52
2014-04-17	FC Copenhagen	L 0-1	51.0	1497	1661	19.11%	26.85%	54.05%	-0.77	-3.4	29
2014-04-17	@ Vestsjaelland	W 1-0	51.0	1661	1497	54.05%	26.85%	19.11%	+0.77	+3.4	45
2014-04-17	Nordsjaelland	L 0-1	58.2	1588	1586	37.69%	30.96%	31.35%	+0.12	-5.9	34
2014-04-17	@ Odense	W 1-0	58.2	1586	1588	31.35%	30.96%	37.69%	-0.12	+5.9	36
2014-04-17	Randers	L 0-3	54.3	1612	1541	47.31%	29.24%	23.45%	+0.50	-19.0	36
2014-04-17	@ Esbjerg	W 3-0	54.3	1541	1612	23.45%	29.24%	47.31%	-0.50	+19.0	35
2014-04-18	Midtjylland	L 0-4	47.3	1527	1653	22.19%	28.68%	49.12%	-0.57	-14.0	29
2014-04-18	@ Aarhus GF	W 4-0	47.3	1653	1527	49.12%	28.68%	22.19%	+0.57	+14.0	48
2014-04-18	Sonderjyske	W 3-1	53.7	1600	1522	48.27%	28.95%	22.78%	+0.53	+6.5	42
2014-04-18	@ Brondby	L 1-3	53.7	1522	1600	22.78%	28.95%	48.27%	-0.53	-6.5	25
2014-04-20	Odense	W 1-0	56.9	1493	1582	25.93%	30.06%	44.01%	-0.37	+6.6	32
2014-04-20	@ Vestsjaelland	L 0-1	56.9	1582	1493	44.01%	30.06%	25.93%	+0.37	-6.6	34
2014-04-20	Randers	L 1-2	68.1	1660	1560	51.10%	28.00%	20.89%	+0.65	-7.0	52
2014-04-20	@ Aalborg	W 2-1	68.1	1560	1660	20.89%	28.00%	51.10%	-0.65	+7.0	38
2014-04-21	Brondby	L 1-2	58.4	1513	1606	25.46%	29.93%	44.61%	-0.39	-4.1	29
2014-04-21	@ Aarhus GF	W 2-1	58.4	1606	1513	44.61%	29.93%	25.46%	+0.39	+4.2	45
2014-04-21	Esbjerg	D 2-2	75.0	1664	1593	47.44%	29.20%	23.36%	+0.50	-0.5	46
2014-04-21	@ FC Copenhagen	D 2-2	75.0	1593	1664	23.36%	29.20%	47.44%	-0.50	+0.5	37
2014-04-21	Nordsjaelland	W 3-1	59.6	1515	1592	27.20%	30.37%	42.43%	-0.30	+10.5	28
2014-04-21	@ Sonderjyske	L 1-3	59.6	1592	1515	42.43%	30.37%	27.20%	+0.30	-10.5	36
2014-04-21	Viborg	W 5-2	51.8	1667	1504	59.23%	24.44%	16.33%	+1.00	+5.7	51
2014-04-21	@ Midtjylland	L 2-5	51.8	1504	1667	16.33%	24.44%	59.23%	-1.00	-5.7	27
2014-04-25	Sonderjyske	D 1-1	64.7	1567	1526	43.34%	30.20%	26.46%	+0.34	-0.5	39
2014-04-25	@ Randers	D 1-1	64.7	1526	1567	26.46%	30.20%	43.34%	-0.34	+0.5	29
2014-04-26	Aalborg	L 2-3	66.9	1575	1653	27.20%	30.37%	42.43%	-0.30	-4.2	34
2014-04-26	@ Odense	W 3-2	66.9	1653	1575	42.43%	30.37%	27.20%	+0.30	+4.2	55
2014-04-27	Aarhus GF	L 0-3	46.5	1498	1509	35.91%	31.05%	33.04%	+0.05	-15.6	27
2014-04-27	@ Viborg	W 3-0	46.5	1509	1498	33.04%	31.05%	35.91%	-0.05	+15.6	32
2014-04-27	FC Copenhagen	W 1-0	61.2	1582	1664	26.65%	30.24%	43.10%	-0.33	+6.5	39
2014-04-27	@ Nordsjaelland	L 0-1	61.2	1664	1582	43.10%	30.24%	26.65%	+0.33	-6.5	46
2014-04-27	Vestsjaelland	D 2-2	72.0	1610	1500	52.52%	27.47%	20.02%	+0.71	-0.8	46
2014-04-27	@ Brondby	D 2-2	72.0	1500	1610	20.02%	27.47%	52.52%	-0.71	+0.8	33
2014-04-28	Midtjylland	D 0-0	64.3	1593	1673	26.91%	30.30%	42.78%	-0.32	+0.5	38
2014-04-28	@ Esbjerg	D 0-0	64.3	1673	1593	42.78%	30.30%	26.91%	+0.32	-0.5	52
2014-05-02	Nordsjaelland	L 0-1	56.8	1567	1588	34.39%	31.07%	34.54%	+0.00	-5.5	39
2014-05-02	@ Randers	W 1-0	56.8	1588	1567	34.54%	31.07%	34.39%	+0.00	+5.5	42
2014-05-03	Esbjerg	L 0-2	58.2	1657	1594	46.26%	29.52%	24.22%	+0.45	-12.9	55
2014-05-03	@ Aalborg	W 2-0	58.2	1594	1657	24.22%	29.52%	46.26%	-0.45	+12.9	41
2014-05-04	Brondby	D 1-1	69.0	1657	1609	44.23%	30.01%	25.76%	+0.37	-0.6	47
2014-05-04	@ FC Copenhagen	D 1-1	69.0	1609	1657	25.76%	30.01%	44.23%	-0.37	+0.6	47
2014-05-04	Vestsjaelland	W 3-1	51.6	1673	1501	60.19%	23.95%	15.86%	+1.04	+4.5	55
2014-05-04	@ Midtjylland	L 1-3	51.6	1501	1673	15.86%	23.95%	60.19%	-1.04	-4.5	33
2014-05-04	Viborg	W 1-0	49.1	1526	1482	43.66%	30.13%	26.21%	+0.35	+4.5	32
2014-05-04	@ Sonderjyske	L 0-1	49.1	1482	1526	26.21%	30.13%	43.66%	-0.35	-4.5	27
2014-05-05	Odense	L 0-1	53.9	1525	1571	30.94%	30.92%	38.14%	-0.14	-5.1	32
2014-05-05	@ Aarhus GF	W 1-0	53.9	1571	1525	38.14%	30.92%	30.94%	+0.14	+5.1	37
2014-05-07	Aalborg	L 2-4	63.4	1594	1644	30.51%	30.88%	38.60%	-0.16	-7.4	42
2014-05-07	@ Nordsjaelland	W 4-2	63.4	1644	1594	38.60%	30.88%	30.51%	+0.16	+7.4	58
2014-05-07	Sonderjyske	W 2-1	57.9	1607	1531	48.05%	29.02%	22.93%	+0.53	+3.8	44
2014-05-07	@ Esbjerg	L 1-2	57.9	1531	1607	22.93%	29.02%	48.05%	-0.53	-3.8	32
2014-05-08	Aarhus GF	W 2-1	57.9	1496	1519	34.18%	31.07%	34.75%	-0.01	+5.2	36
2014-05-08	@ Vestsjaelland	L 1-2	57.9	1519	1496	34.75%	31.07%	34.18%	+0.01	-5.2	32
2014-05-08	FC Copenhagen	L 0-2	46.0	1478	1657	18.06%	26.03%	55.91%	-0.85	-6.0	27
2014-05-08	@ Viborg	W 2-0	46.0	1657	1478	55.91%	26.03%	18.06%	+0.85	+6.0	50
2014-05-08	Midtjylland	W 3-1	63.4	1610	1677	28.39%	30.60%	41.01%	-0.25	+10.2	50
2014-05-08	@ Brondby	L 1-3	63.4	1677	1610	41.01%	30.60%	28.39%	+0.25	-10.2	55
2014-05-08	Randers	W 2-1	60.4	1576	1561	39.64%	30.77%	29.58%	+0.20	+4.7	40
2014-05-08	@ Odense	L 1-2	60.4	1561	1576	29.58%	30.77%	39.64%	-0.20	-4.7	39
2014-05-11	Aalborg	D 0-0	62.7	1502	1651	20.22%	27.60%	52.18%	-0.70	+1.1	37
2014-05-11	@ Vestsjaelland	D 0-0	62.7	1651	1502	52.18%	27.60%	20.22%	+0.70	-1.1	59
2014-05-11	Esbjerg	L 1-2	63.0	1581	1611	33.26%	31.05%	35.68%	-0.05	-5.1	40
2014-05-11	@ Odense	W 2-1	63.0	1611	1581	35.68%	31.05%	33.26%	+0.05	+5.1	47
2014-05-11	FC Copenhagen	L 2-3	71.9	1667	1663	38.06%	30.93%	31.02%	+0.14	-5.3	55
2014-05-11	@ Midtjylland	W 3-2	71.9	1663	1667	31.02%	30.93%	38.06%	-0.14	+5.3	53
2014-05-11	Nordsjaelland	L 1-3	51.8	1472	1586	23.28%	29.17%	47.56%	-0.51	-6.7	27
2014-05-11	@ Viborg	W 3-1	51.8	1586	1472	47.56%	29.17%	23.28%	+0.51	+6.7	45
2014-05-11	Randers	D 1-1	67.4	1620	1557	46.37%	29.50%	24.14%	+0.46	-0.7	51
2014-05-11	@ Brondby	D 1-1	67.4	1557	1620	24.14%	29.50%	46.37%	-0.46	+0.7	40
2014-05-11	Sonderjyske	L 0-3	47.7	1514	1527	35.67%	31.05%	33.28%	+0.05	-15.5	32
2014-05-11	@ Aarhus GF	W 3-0	47.7	1527	1514	33.28%	31.05%	35.67%	-0.05	+15.5	35
2014-05-18	Aarhus GF	W 1-0	49.7	1650	1499	57.73%	25.18%	17.09%	+0.93	+3.0	62
2014-05-18	@ Aalborg	L 0-1	49.7	1499	1650	17.09%	25.18%	57.73%	-0.93	-3.0	32
2014-05-18	Brondby	D 2-2	73.6	1593	1620	33.71%	31.06%	35.23%	-0.03	+0.0	46
2014-05-18	@ Nordsjaelland	D 2-2	73.6	1620	1593	35.23%	31.06%	33.71%	+0.03	-0.0	52
2014-05-18	Midtjylland	W 3-1	63.5	1542	1661	22.86%	28.99%	48.15%	-0.53	+11.5	38
2014-05-18	@ Sonderjyske	L 1-3	63.5	1661	1542	48.15%	28.99%	22.86%	+0.53	-11.5	55
2014-05-18	Odense	W 3-2	64.9	1668	1576	50.17%	28.33%	21.50%	+0.61	+3.4	56
2014-05-18	@ FC Copenhagen	L 2-3	64.9	1576	1668	21.50%	28.33%	50.17%	-0.61	-3.4	40
2014-05-18	Vestsjaelland	D 1-1	63.7	1557	1503	45.13%	29.81%	25.07%	+0.41	-0.6	41
2014-05-18	@ Randers	D 1-1	63.7	1503	1557	25.07%	29.81%	45.13%	-0.41	+0.6	38
2014-05-18	Viborg	D 0-0	61.2	1616	1465	57.60%	25.24%	17.15%	+0.93	-1.5	48
2014-05-18	@ Esbjerg	D 0-0	61.2	1465	1616	17.15%	25.24%	57.60%	-0.93	+1.5	28

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	2014-04-20	20.89%	Randers	1560	2	@ Aalborg	1660	1
2	2014-03-15	21.27%	Vestsjaelland	1493	2	@ Nordsjaelland	1588	1
3	2014-04-12	21.42%	Odense	1574	2	@ Midtjylland	1667	0
4	2014-03-22	21.84%	Nordsjaelland	1581	1	@ Midtjylland	1669	0
5	2013-09-01	22.75%	Vestsjaelland	1520	2	@ Nordsjaelland	1598	1
6	2014-05-18	22.86%	@ Sonderjyske	1542	3	Midtjylland	1661	1
7	2013-10-06	22.88%	Odense	1560	3	@ Esbjerg	1636	1
8	2014-03-23	23.01%	@ Sonderjyske	1522	3	Aalborg	1639	2
9	2013-11-10	23.11%	Vestsjaelland	1508	3	@ Odense	1582	1
10	2014-04-17	23.45%	Randers	1541	3	@ Esbjerg	1612	0
11	2013-08-04	24.08%	Randers	1561	3	@ FC Copenhagen	1625	1
12	2014-05-03	24.22%	Esbjerg	1594	2	@ Aalborg	1657	0
13	2013-11-24	24.36%	Brondby	1588	1	@ Midtjylland	1649	0
14	2013-10-20	24.43%	@ Vestsjaelland	1522	2	Esbjerg	1625	1
15	2013-10-28	25.66%	Aarhus GF	1570	2	@ Esbjerg	1618	0
16	2013-11-22	25.79%	@ Sonderjyske	1503	1	Esbjerg	1593	0
17	2014-04-20	25.93%	@ Vestsjaelland	1493	1	Odense	1582	0
18	2014-02-22	26.42%	@ Odense	1573	2	Midtjylland	1657	1
19	2013-09-15	26.45%	Viborg	1550	1	@ Aarhus GF	1592	0
20	2013-08-18	26.57%	Viborg	1534	3	@ Sonderjyske	1574	0
21	2014-04-27	26.65%	@ Nordsjaelland	1582	1	FC Copenhagen	1664	0
22	2013-09-22	26.75%	Brondby	1547	3	@ Aarhus GF	1586	1
23	2013-08-25	27.13%	@ Viborg	1552	3	Esbjerg	1629	1
24	2013-07-29	27.14%	Aalborg	1582	2	@ Esbjerg	1618	1
25	2014-03-23	27.14%	Odense	1569	2	@ Brondby	1604	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	2014-02-21	21.09	Sonderjyske	4	1511	31.28%	@ Vestsjaelland	0	1513	37.77%	30.95%
2	2013-07-22	20.17	@ Esbjerg	4	1598	33.50%	Nordsjaelland	0	1625	35.44%	31.06%
3	2013-12-09	19.19	@ Aalborg	5	1606	45.05%	Viborg	0	1552	25.12%	29.83%
4	2014-04-17	19.05	Randers	3	1541	23.45%	@ Esbjerg	0	1612	47.31%	29.24%
5	2014-03-02	18.52	Midtjylland	5	1651	28.75%	@ FC Copenhagen	1	1673	40.60%	30.65%
6	2013-08-18	17.81	Viborg	3	1534	26.57%	@ Sonderjyske	0	1574	43.21%	30.22%
7	2013-10-21	16.42	Odense	5	1571	34.67%	@ Sonderjyske	1	1549	34.26%	31.07%
8	2013-11-02	16.01	@ FC Copenhagen	4	1638	43.96%	Nordsjaelland	0	1592	25.97%	30.07%
9	2014-04-27	15.59	Aarhus GF	3	1509	33.04%	@ Viborg	0	1498	35.91%	31.05%
10	2014-05-11	15.50	Sonderjyske	3	1527	33.28%	@ Aarhus GF	0	1514	35.67%	31.05%
11	2013-11-10	14.82	@ Brondby	3	1573	35.53%	Aarhus GF	0	1587	33.41%	31.06%
12	2014-03-24	14.17	Esbjerg	3	1599	37.70%	@ Aarhus GF	0	1555	31.35%	30.96%
13	2014-04-18	13.97	Midtjylland	4	1653	49.12%	@ Aarhus GF	0	1527	22.19%	28.68%
14	2013-08-10	13.87	@ Esbjerg	5	1621	42.38%	Aarhus GF	1	1587	27.25%	30.38%
15	2014-04-12	13.74	Odense	2	1574	21.42%	@ Midtjylland	0	1667	50.28%	28.29%
16	2013-11-03	13.10	@ Midtjylland	3	1632	41.20%	Esbjerg	0	1606	28.23%	30.57%
17	2014-05-03	12.90	Esbjerg	2	1594	24.22%	@ Aalborg	0	1657	46.26%	29.52%
18	2013-10-20	12.82	@ FC Copenhagen	3	1626	42.11%	Aalborg	0	1593	27.46%	30.42%
19	2013-10-28	12.50	Aarhus GF	2	1570	25.66%	@ Esbjerg	0	1618	44.35%	29.99%
20	2014-03-09	12.31	@ Brondby	4	1592	36.27%	Nordsjaelland	1	1600	32.69%	31.03%
21	2013-11-11	12.21	Aalborg	4	1594	36.66%	@ Randers	1	1558	32.33%	31.02%
22	2013-12-01	12.04	@ Odense	4	1570	37.35%	Aarhus GF	1	1571	31.67%	30.98%
23	2013-09-01	11.70	FC Copenhagen	4	1612	38.65%	@ Viborg	1	1562	30.48%	30.88%
24	2013-09-02	11.67	Sonderjyske	2	1549	28.90%	@ Randers	0	1569	40.42%	30.68%
25	2013-11-09	11.61	@ Nordsjaelland	3	1576	46.07%	Sonderjyske	0	1515	24.35%	29.57%

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	2014-04-21	75.0	@ FC Copenhagen	2	1664	47.44%	Esbjerg	2	1593	23.36%	29.20%
2	2013-08-11	73.6	@ Nordsjaelland	2	1599	35.41%	FC Copenhagen	2	1614	33.53%	31.06%
3	2013-10-07	73.6	@ Midtjylland	2	1639	53.57%	Vestsjaelland	2	1521	19.38%	27.04%
4	2014-02-23	73.6	@ Brondby	2	1586	31.99%	Aalborg	2	1625	37.01%	31.00%
5	2014-05-18	73.6	@ Nordsjaelland	2	1593	33.71%	Brondby	2	1620	35.23%	31.06%
6	2013-12-02	73.1	@ Esbjerg	2	1586	34.69%	Aalborg	2	1606	34.24%	31.07%
7	2014-04-05	72.8	Aalborg	3	1638	27.23%	@ Midtjylland	2	1673	42.39%	30.37%
8	2014-04-27	72.0	@ Brondby	2	1610	52.52%	Vestsjaelland	2	1500	20.02%	27.47%
9	2014-05-11	71.9	FC Copenhagen	3	1663	31.02%	@ Midtjylland	2	1667	38.06%	30.93%
10	2013-10-05	71.3	@ Randers	2	1547	33.49%	Aarhus GF	2	1575	35.45%	31.06%
11	2014-03-23	71.2	@ Sonderjyske	3	1522	23.01%	Aalborg	2	1639	47.93%	29.05%
12	2014-03-28	70.9	@ Odense	2	1575	44.06%	Sonderjyske	2	1528	25.89%	30.05%
13	2013-08-19	70.7	@ Randers	3	1564	27.87%	Esbjerg	2	1635	41.63%	30.50%
14	2013-07-20	70.6	@ Viborg	2	1540	34.51%	Randers	2	1561	34.41%	31.07%
15	2013-11-24	70.6	@ Aarhus GF	2	1572	44.88%	Vestsjaelland	2	1519	25.26%	29.87%
16	2013-09-28	70.4	@ Brondby	3	1557	27.95%	FC Copenhagen	2	1628	41.53%	30.52%
17	2014-04-06	70.4	@ Viborg	2	1518	29.75%	Odense	2	1574	39.45%	30.80%
18	2013-08-09	70.1	@ Viborg	2	1534	34.63%	Brondby	2	1554	34.30%	31.07%
19	2013-11-30	69.5	@ Viborg	2	1552	43.48%	Sonderjyske	2	1510	26.35%	30.17%
20	2014-05-04	69.0	@ FC Copenhagen	1	1657	44.23%	Brondby	1	1609	25.76%	30.01%
21	2014-02-23	68.6	@ Aarhus GF	1	1549	22.34%	FC Copenhagen	1	1674	48.91%	28.75%
22	2014-03-23	68.6	@ FC Copenhagen	1	1658	53.91%	Randers	1	1537	19.19%	26.90%
23	2013-09-01	68.5	@ Esbjerg	1	1619	34.96%	Midtjylland	1	1637	33.97%	31.07%
24	2013-11-10	68.5	@ Esbjerg	1	1593	29.05%	FC Copenhagen	1	1654	40.25%	30.70%
25	2013-09-14	68.4	@ FC Copenhagen	1	1624	38.23%	Esbjerg	1	1619	30.85%	30.91%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2013-11-09	45.6	@ Nordsjaelland	3	1576	46.07%	Sonderjyske	0	1515	24.35%	29.57%
2	2014-05-08	46.0	FC Copenhagen	2	1657	55.91%	@ Viborg	0	1478	18.06%	26.03%
3	2014-04-27	46.5	Aarhus GF	3	1509	33.04%	@ Viborg	0	1498	35.91%	31.05%
4	2014-03-10	47.3	@ Midtjylland	2	1669	56.65%	Sonderjyske	0	1527	17.66%	25.69%
5	2014-04-18	47.3	Midtjylland	4	1653	49.12%	@ Aarhus GF	0	1527	22.19%	28.68%
6	2014-02-21	47.6	Sonderjyske	4	1511	31.28%	@ Vestsjaelland	0	1513	37.77%	30.95%
7	2013-12-08	47.7	@ Midtjylland	3	1646	49.49%	Aarhus GF	0	1559	21.95%	28.56%
8	2014-04-06	47.7	@ FC Copenhagen	2	1651	54.16%	Sonderjyske	0	1528	19.04%	26.80%
9	2014-05-11	47.7	Sonderjyske	3	1527	33.28%	@ Aarhus GF	0	1514	35.67%	31.05%
10	2014-03-30	47.8	Midtjylland	3	1662	48.84%	@ Randers	0	1538	22.39%	28.78%
11	2014-04-16	48.2	Aalborg	2	1653	51.19%	@ Viborg	0	1511	20.84%	27.97%
12	2014-02-28	48.7	@ Nordsjaelland	2	1592	45.79%	Viborg	0	1533	24.56%	29.64%
13	2013-09-27	48.8	@ Viborg	2	1558	41.44%	Vestsjaelland	0	1530	28.03%	30.53%
14	2013-10-27	48.8	@ Aalborg	2	1581	44.29%	Sonderjyske	0	1532	25.71%	30.00%
15	2013-12-09	48.8	@ Aalborg	5	1606	45.05%	Viborg	0	1552	25.12%	29.83%
16	2014-05-04	49.1	@ Sonderjyske	1	1526	43.66%	Viborg	0	1482	26.21%	30.13%
17	2013-11-04	49.6	Brondby	2	1563	38.03%	@ Vestsjaelland	0	1517	31.04%	30.93%
18	2014-05-18	49.7	@ Aalborg	1	1650	57.73%	Aarhus GF	0	1499	17.09%	25.18%
19	2013-07-27	49.9	Aarhus GF	2	1572	38.62%	@ Vestsjaelland	0	1522	30.50%	30.88%
20	2013-11-02	49.9	@ FC Copenhagen	4	1638	43.96%	Nordsjaelland	0	1592	25.97%	30.07%
21	2014-03-24	50.0	Esbjerg	3	1599	37.70%	@ Aarhus GF	0	1555	31.35%	30.96%
22	2013-10-20	50.2	@ FC Copenhagen	3	1626	42.11%	Aalborg	0	1593	27.46%	30.42%
23	2013-12-07	50.5	@ FC Copenhagen	1	1671	58.15%	Vestsjaelland	0	1516	16.87%	24.98%
24	2013-11-10	50.8	@ Brondby	3	1573	35.53%	Aarhus GF	0	1587	33.41%	31.06%
25	2013-11-03	50.9	@ Midtjylland	3	1632	41.20%	Esbjerg	0	1606	28.23%	30.57%