2012-13 1st Division Season

198 games

Final

Promoted

Viborg

62 pts

FC Festsjaelland · 62 pts

Relegated

Skive

37 pts

FC Fyn · withdrew

Biggest Overachiever

Vestsjaelland

12.05 points above expected

62 points · 49.95 expected points

Biggest Disappointment

FC Fyn

9.83 points below expected

11 points · 20.83 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	Viborg Promoted	33	17	11	5	62	57	30	+27	54.67	+7.33
2	Vestsjaelland	33	17	11	5	62	36	27	+9	49.95	+12.05
3	Vejle Boldklub Kolding	33	16	10	7	58	43	29	+14	56.63	+1.37
4	Lyngby	33	17	5	11	56	52	42	+10	52.18	+3.82
5	Fredericia	33	11	11	11	44	50	48	+2	46.87	-2.87
6	HB Koge	33	12	8	13	44	36	45	-9	42.64	+1.36
7	FC Hjorring	33	10	10	13	40	35	41	-6	40.59	-0.59
8	Bronshoj*	33	12	9	12	39	35	36	-1	43.05	-4.05
9	Hobro	33	9	11	13	38	31	43	-12	44.15	-6.15
10	AB Gladsaxe	33	8	13	12	37	27	34	-7	40.59	-3.59
11	Skive Relegated	33	10	7	16	37	44	55	-11	43.98	-6.98
12	FC Fyn* Withdrew	33	2	8	23	11	26	42	-16	20.83	-9.83

* Point deductions: Bronshoj (-6 pts), FC Fyn (-3 pts)

Notes

FC Fyn went bankrupt in the middle of the season, causing their 14 remaining matches to be forfeit losses. Their license was subsequently used by B 1913 in the Funen Series.

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	Vestsjaelland	62	49.95	+12.05
2	Viborg	62	54.67	+7.33
3	Lyngby	56	52.18	+3.82
4	Vejle Boldklub Kolding	58	56.63	+1.37
5	HB Koge	44	42.64	+1.36

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	FC Fyn	11	20.83	-9.83
2	Skive	37	43.98	-6.98
3	Hobro	38	44.15	-6.15
4	Bronshoj	39	43.05	-4.05
5	AB Gladsaxe	37	40.59	-3.59

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	Vestsjaelland	4	Nov 24 – Apr 7	1 in 37
2	FC Hjorring	3	Apr 7 – Apr 17	1 in 37
3	HB Koge	3	Sep 23 – Oct 7	1 in 32
4	Vejle Boldklub Kolding	5	Nov 25 – Apr 7	1 in 26
5	Viborg	4	Apr 1 – Apr 12	1 in 17

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	FC Fyn	21	Oct 14 – May 20	1 in 42,087,830
2	Bronshoj	4	Apr 7 – Apr 24	1 in 67
3	FC Hjorring	5	Aug 19 – Sep 16	1 in 58
4	Fredericia	4	Nov 18 – Apr 1	1 in 57
5	Skive	4	Sep 21 – Oct 14	1 in 20

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Viborg	19	Oct 12 – May 12	1 in 549
2	Vestsjaelland	10	Nov 11 – Apr 21	1 in 46
3	Hobro	7	Aug 8 – Sep 14	1 in 36
4	Fredericia	8	Jul 29 – Sep 9	1 in 33
5	HB Koge	6	Oct 21 – Nov 23	1 in 31

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	FC Fyn	24	Sep 23 – May 20	1 in 5,198
2	Hobro	10	Sep 22 – Nov 24	1 in 70
3	HB Koge	9	Jul 29 – Sep 16	1 in 46
4	Vejle Boldklub Kolding	5	Aug 8 – Sep 2	1 in 26
5	AB Gladsaxe	9	Sep 23 – Nov 18	1 in 20

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
Viborg	1505	59	+12	10	7.6	+2.4
Vestsjaelland	1459	59	+3	8	7.7	+0.3
Vejle Boldklub Kolding	1484	55	-31	4	8.1	-4.1
Lyngby	1453	53	+8	7	8.0	-1.0
Fredericia	1407	41	+1	7	7.0	-0.0
HB Koge	1385	41	-14	6	6.0	+0.0
Bronshoj	1405	39	+5	6	6.8	-0.8
FC Hjorring	1385	37	+5	5	6.4	-1.4
Skive	1370	34	+10	9	6.1	+2.9
Hobro	1361	32	-3	5	5.7	-0.7
AB Gladsaxe	1355	31	+14	10	5.3	+4.7
FC Fyn	1335	14	-48	0	6.0	-6.0

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	AG	BRO	FF	FH	FRE	HK	HOB	LYN	SKI	VBK	VES	VIB
AB Gladsaxe	—	0-3-0 3.07	2-0-1 4.20	0-3-0 3.85	2-0-1 3.37	0-1-2 3.56	0-2-1 3.58	1-1-1 3.11	0-1-2 3.93	2-0-1 2.38	0-1-2 2.89	1-1-1 2.99
Bronshoj	0-3-0 5.14	—	2-1-0 4.74	1-1-1 4.85	1-1-1 4.01	0-0-3 4.54	1-0-2 4.51	1-1-1 3.90	3-0-0 4.74	1-1-1 3.47	1-0-2 4.14	1-1-1 4.05
FC Fyn	1-0-2 3.97	0-1-2 3.47	—	1-0-2 4.27	0-1-2 3.55	0-1-2 3.93	0-1-2 3.98	0-1-2 3.19	0-1-2 3.93	0-1-2 3.00	0-1-2 3.29	0-0-3 2.84
FC Hjorring	0-3-0 4.33	1-1-1 3.35	2-0-1 3.91	—	0-0-3 3.39	3-0-0 3.89	2-1-0 3.88	1-0-2 3.10	0-1-2 3.87	1-0-2 2.85	0-2-1 3.20	0-2-1 2.76
Fredericia	1-0-2 4.82	1-1-1 4.16	2-1-0 4.64	3-0-0 4.81	—	1-1-1 4.44	1-1-1 4.67	1-0-2 3.54	1-1-1 4.27	0-2-1 3.05	0-1-2 3.85	0-3-0 3.66
HB Koge	2-1-0 4.63	3-0-0 3.65	2-1-0 4.24	0-0-3 4.28	1-1-1 3.75	—	0-2-1 4.17	0-0-3 3.57	1-1-1 3.90	1-1-1 3.27	1-0-2 3.71	1-1-1 2.92
Hobro	1-2-0 4.61	2-0-1 3.67	2-1-0 4.19	0-1-2 4.31	1-1-1 3.51	1-2-0 4.01	—	1-1-1 3.25	0-1-2 4.01	0-0-3 3.19	0-2-1 3.68	1-0-2 2.91
Lyngby	1-1-1 5.10	1-1-1 4.29	2-1-0 5.01	2-0-1 5.10	2-0-1 4.65	3-0-0 4.61	1-1-1 4.94	—	3-0-0 5.00	1-1-1 3.53	0-0-3 4.11	1-0-2 4.11
Skive	2-1-0 4.24	0-0-3 3.46	2-1-0 4.24	2-1-0 4.30	1-1-1 3.90	1-1-1 4.27	2-1-0 4.16	0-0-3 3.20	—	0-0-3 2.88	0-1-2 3.38	0-0-3 3.00
Vejle Boldklub Kolding	1-0-2 5.92	1-1-1 4.71	2-1-0 5.24	2-0-1 5.39	1-2-0 5.16	1-1-1 4.94	3-0-0 5.01	1-1-1 4.65	3-0-0 5.36	—	1-2-0 4.92	0-2-1 4.58
Vestsjaelland	2-1-0 5.34	2-0-1 4.03	2-1-0 4.93	1-2-0 5.00	2-1-0 4.32	2-0-1 4.47	1-2-0 4.52	3-0-0 4.06	2-1-0 4.81	0-2-1 3.27	—	0-1-2 3.59
Viborg	1-1-1 5.23	1-1-1 4.13	3-0-0 5.41	1-2-0 5.49	0-3-0 4.52	1-1-1 5.30	2-0-1 5.31	2-0-1 4.08	3-0-0 5.23	1-2-0 3.61	2-1-0 4.59	—

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	0.45	+9.7
Allowed	0.26	-8.8
Differential	0.73	+9.6

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	9.60%	8.59%	6.06%	1.26%	0.51%	0.76%	26.77%
1	8.59%	11.11%	7.83%	3.03%	0.76%	0.76%	32.07%
2	6.06%	7.83%	6.57%	1.26%	0.25%	0.25%	22.22%
3	1.26%	3.03%	1.26%	1.01%	0.51%	0.25%	7.32%
4	0.51%	0.76%	0.25%	0.51%	0.51%	—	2.53%
5+	0.76%	0.76%	0.25%	0.25%	—	7.07%	9.09%
Total	26.77%	32.07%	22.22%	7.32%	2.53%	9.09%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.12	1.12	+0.00
SD	1.29	1.29	1.56
CV	1.15	1.15	—
Max	7	7	+6
Min	-1	-1	-6

Games Played: 198

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	15.15%	18.18%	3.03%	3.03%	—	—	39.39%
1	3.03%	21.21%	9.09%	3.03%	—	—	36.36%
2	3.03%	6.06%	3.03%	—	—	—	12.12%
3	—	3.03%	—	—	—	—	3.03%
4	—	—	3.03%	—	—	—	3.03%
5+	—	—	—	—	—	6.06%	6.06%
Total	21.21%	48.48%	18.18%	6.06%	—	6.06%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.76	0.97	-0.21
SD	1.06	0.95	1.11
CV	1.40	0.98	—
Max	4	3	+2
Min	-1	-1	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	15.15%	6.06%	3.03%	—	—	33.33%
1	6.06%	9.09%	9.09%	3.03%	—	—	27.27%
2	9.09%	3.03%	9.09%	—	—	—	21.21%
3	3.03%	3.03%	6.06%	—	—	—	12.12%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	6.06%	6.06%
Total	27.27%	30.30%	30.30%	6.06%	—	6.06%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.00	1.03	-0.03
SD	1.15	1.05	1.36
CV	1.15	1.01	—
Max	3	3	+3
Min	-1	-1	-3

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	0.36	0.85	-0.48
SD	1.50	1.94	1.18
CV	4.11	2.28	—
Max	4	5	+1
Min	-1	-1	-5

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.03	1.21	-0.18
SD	1.24	1.34	1.89
CV	1.20	1.11	—
Max	5	5	+5
Min	-1	-1	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	12.12%	3.03%	—	—	—	21.21%
1	6.06%	12.12%	9.09%	6.06%	—	—	33.33%
2	—	9.09%	12.12%	—	—	—	21.21%
3	—	6.06%	3.03%	3.03%	3.03%	—	15.15%
4	—	—	—	—	—	—	—
5+	—	3.03%	—	3.03%	—	3.03%	9.09%
Total	12.12%	42.42%	27.27%	12.12%	3.03%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.48	1.42	+0.06
SD	1.39	1.06	1.30
CV	0.94	0.75	—
Max	5	4	+4
Min	-1	-1	-2

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.06	1.33	-0.27
SD	1.03	1.36	1.86
CV	0.97	1.02	—
Max	3	5	+3
Min	-1	-1	-5

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	12.12%	9.09%	6.06%	3.03%	—	—	30.30%
1	15.15%	15.15%	9.09%	6.06%	—	—	45.45%
2	3.03%	3.03%	3.03%	—	—	—	9.09%
3	—	—	—	—	3.03%	3.03%	6.06%
4	—	—	—	—	3.03%	—	3.03%
5+	—	—	—	—	—	6.06%	6.06%
Total	30.30%	27.27%	18.18%	9.09%	6.06%	9.09%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.88	1.24	-0.36
SD	1.08	1.46	1.14
CV	1.23	1.17	—
Max	4	5	+2
Min	-1	-1	-3

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.55	1.24	+0.30
SD	1.46	1.17	1.88
CV	0.94	0.94	—
Max	5	4	+5
Min	-1	-1	-3

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.30	1.64	-0.33
SD	1.40	1.27	1.74
CV	1.08	0.78	—
Max	5	5	+3
Min	-1	-1	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	6.06%	6.06%	—	3.03%	—	21.21%
1	9.09%	18.18%	3.03%	3.03%	—	—	33.33%
2	24.24%	3.03%	6.06%	—	—	—	33.33%
3	—	6.06%	—	—	—	—	6.06%
4	—	3.03%	—	—	—	—	3.03%
5+	—	—	—	—	—	3.03%	3.03%
Total	39.39%	36.36%	15.15%	3.03%	3.03%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.27	0.85	+0.42
SD	1.07	1.03	1.56
CV	0.84	1.22	—
Max	4	4	+3
Min	-1	-1	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	21.21%	3.03%	—	—	—	—	24.24%
1	27.27%	9.09%	3.03%	3.03%	—	3.03%	45.45%
2	3.03%	12.12%	3.03%	3.03%	—	—	21.21%
3	—	3.03%	—	—	—	—	3.03%
4	—	3.03%	—	—	—	—	3.03%
5+	—	—	—	—	—	3.03%	3.03%
Total	51.52%	30.30%	6.06%	6.06%	—	6.06%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.06	0.79	+0.27
SD	1.00	1.43	1.48
CV	0.94	1.82	—
Max	4	7	+3
Min	-1	-1	-6

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	12.12%	—	—	—	—	—	12.12%
1	9.09%	12.12%	12.12%	—	—	—	33.33%
2	9.09%	15.15%	9.09%	3.03%	—	—	36.36%
3	3.03%	—	3.03%	—	—	—	6.06%
4	—	3.03%	—	—	—	—	3.03%
5+	3.03%	3.03%	—	—	—	3.03%	9.09%
Total	36.36%	33.33%	24.24%	3.03%	—	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.70	0.88	+0.82
SD	1.51	0.93	1.61
CV	0.89	1.06	—
Max	7	3	+6
Min	-1	-1	-1

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
Viborg	1505	62	54.67	+7.33	88.0%	39	45	50	54	59	66	77
Vejle Boldklub Kolding	1484	58	56.63	+1.37	55.0%	40	43	51	57	62	68	75
Vestsjaelland	1459	62	49.95	+12.05	97.0%	27	38	45	50	54	61	67
Lyngby	1453	56	52.18	+3.82	72.0%	35	39	47	52	57	63	70
Fredericia	1407	44	46.87	-2.87	40.0%	28	34	42	46	52	59	65
Bronshoj	1405	39	43.05	-4.05	33.0%	26	30	39	43	48	55	60
FC Hjorring	1385	40	40.59	-0.59	48.0%	23	29	37	41	45	51	54
HB Koge	1385	44	42.64	+1.36	57.0%	27	30	38	43	47	54	63
Skive	1370	37	43.98	-6.98	20.0%	27	30	40	45	48	56	67
Hobro	1361	38	44.15	-6.15	19.0%	28	31	40	44	49	54	62
AB Gladsaxe	1355	37	40.59	-3.59	34.0%	19	29	36	41	45	53	59
FC Fyn	1335	11	20.83	-9.83	4.0%	3	12	18	21	24	29	34

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 11.5% * Slight Edge: 11.5% to 19% * Clear Edge: 19% to 28.5% * Strong Edge: 28.5% 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

+15.66%

Slight Edge

43.43%28.79%27.78%

Elo Value

Home Edge: 54.85 Elo pts.

206 Elo

0.005 goals per Elo point

0600

Scoring Tilt

Expected

+0.33 goals

Neutral

-2+0.27+2

Title Race

How these are measured

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

Title-Race Openness: Effective number of teams with a live shot at finishing 1st, from the simulation. 1 means the favorite is a near-lock; larger means a wide-open race. Equal to 1 divided by the sum of squared title odds.
One-Team Race: under 2 * Top-Heavy: 2 to 3 * Open: 3 to 4 * Wide Open: 4 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 0.13 * Comfortable: 0.13 to 0.24 * Runaway: 0.24 and up.

Title-Race Openness

4.3

Wide Open

123410

Champion Preseason Odds

21%

Viborg, 2nd of 12

LongshotFavorite

Title Margin

Expected

0.00/gm

Photo Finish

00.150.5/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 5.62 * Some Luck: 5.62 to 8.42 * Lucky: 8.42 to 11.23 * Wild Swing: 11.23 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 1.62 * Close: 1.62 to 2.43 * Off: 2.43 to 3.24 * Way Off: 3.24 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 0.8 * A Surprise: 0.8 to 1.28 * Several Surprises: 1.28 to 1.76 * Many Surprises: 1.76 and up.

Luck Spread

Expected

6.01 points

Some Luck

07.0218

Average Finish Error

Expected

1.67

02.025

Biggest Overachiever

Expected 95.83%

97.00%

Vestsjaelland

50100

Biggest Underachiever

Expected 4.17%

4.00%

FC Fyn

050

Season Outliers

Expected

2 of 12

Minimal Outliers

01.26

Unexpected Relegations

Expected

1 of 2

A Surprise

00.82

Parity

How these are measured

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

Gini Index: How evenly points were spread across the league. Lower means a tight, balanced table; higher means a few teams ran off with most of the points.
Balanced: under 0.13 * Even: 0.13 to 0.17 * Top-Heavy: 0.17 to 0.2 * Lopsided: 0.2 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 1.5 * Moderate Separation: 1.5 to 1.8 * Strong Separation: 1.8 to 2.15 * Wide Separation: 2.15 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 63.5% * Slight Edge: 63.5% to 68% * Clear Edge: 68% to 74.5% * Wide Edge: 74.5% 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 85% * Clear Edge: 85% to 91% * Strong Edge: 91% to 95% * Dominant: 95% 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 60% * Frequent: 60% to 65% * Very Frequent: 65% 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 14.5% * Occasional: 14.5% to 18.5% * Frequent: 18.5% to 23.5% * Very Frequent: 23.5% and up.

Gini Index

0.16

Even

00.130.20.5

Noll-Scully

Elo SD: 54.65

1.94

Strong Separation

0.751.51.82.153

Interquartile Edge

62%

Even

50%63.5%74.5%100%

Best vs. Worst

Baseline

73%

Even

50%75%100%

Close Games

Expected

72%

Very Frequent

0%66%100%

Blowouts

Expected

Rare

0%11%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 0.34 * Slight Separation: 0.34 to 0.42 * Notable Separation: 0.42 to 0.51 * Lopsided: 0.51 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 0.38 * Some Carryover: 0.38 to 0.57 * Strong Carryover: 0.57 to 0.7 * Near-Lock: 0.7 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 18% * As Expected: 18% to 22% * Upset-Prone: 22% to 25% * Very Upset-Prone: 25% 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 15.5% * As Expected: 15.5% to 18.5% * Shaky Favorites: 18.5% to 22% * Very Shaky: 22% and up.

Brier Score

Expected

0.63

Hard to Predict

00.642

Matchup Imbalance

0.22

Very Even

00.340.420.5

Strangeness

Expected

0.85

As Expected

01.002

Repeatability

0.69

Strong Carryover

00.380.570.71

Upset Rate

Expected

24%

Upset-Prone

0%28%50%

Clear Favorite Upset Rate

Expected

17%

As Expected

0%25%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

0.31

Well Calibrated

0.010.050.10.51

Calibration slope

Ideal

1.53

Very Underconfident

0.3058561.001.69414

Calibration error (ECE)

Noise ceiling

0.100

Well Within Noise

00.1190.3

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
Viborg	21.00%	27.00%	20.00%	9.00%	12.00%	5.00%	1.00%	2.00%	3.00%	—	—	—
Vestsjaelland	8.00%	15.00%	21.00%	13.00%	8.00%	11.00%	7.00%	8.00%	3.00%	5.00%	—	1.00%
Vejle Boldklub Kolding	39.00%	24.00%	7.00%	12.00%	3.00%	6.00%	1.00%	7.00%	—	1.00%	—	—
Lyngby	15.00%	15.00%	17.00%	14.00%	15.00%	7.00%	5.00%	2.00%	8.00%	1.00%	1.00%	—
Fredericia	7.00%	8.00%	10.00%	9.00%	14.00%	8.00%	13.00%	9.00%	10.00%	9.00%	3.00%	—
HB Koge	2.00%	1.00%	4.00%	7.00%	7.00%	11.00%	15.00%	8.00%	15.00%	15.00%	14.00%	1.00%
FC Hjorring	1.00%	—	2.00%	3.00%	7.00%	9.00%	13.00%	14.00%	10.00%	21.00%	20.00%	—
Bronshoj	3.00%	2.00%	6.00%	9.00%	6.00%	13.00%	12.00%	8.00%	15.00%	11.00%	15.00%	—
Hobro	—	4.00%	6.00%	8.00%	12.00%	10.00%	12.00%	14.00%	12.00%	8.00%	13.00%	1.00%
AB Gladsaxe	1.00%	1.00%	4.00%	3.00%	7.00%	8.00%	9.00%	16.00%	14.00%	17.00%	17.00%	3.00%
Skive	3.00%	3.00%	3.00%	13.00%	9.00%	12.00%	12.00%	12.00%	10.00%	12.00%	10.00%	1.00%
FC Fyn	—	—	—	—	—	—	—	—	—	—	7.00%	93.00%

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	Direct promotion	Same level	Direct relegation
Vejle Boldklub Kolding	63.00%	37.00%	—
Viborg	48.00%	52.00%	—
Lyngby	30.00%	69.00%	1.00%
Vestsjaelland	23.00%	76.00%	1.00%
Fredericia	15.00%	82.00%	3.00%
Skive	6.00%	83.00%	11.00%
Bronshoj	5.00%	80.00%	15.00%
Hobro	4.00%	82.00%	14.00%
HB Koge	3.00%	82.00%	15.00%
AB Gladsaxe	2.00%	78.00%	20.00%
FC Hjorring	1.00%	79.00%	20.00%
FC Fyn	—	—	100%

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
2012-07-28	AB Gladsaxe	W 1-0	40.9	1397	1365	45.83%	26.95%	27.22%	+0.42	+4.3	3
2012-07-28	@ Hobro	L 0-1	40.9	1365	1397	27.22%	26.95%	45.83%	-0.42	-4.2	0
2012-07-28	Viborg	D 2-2	62.3	1420	1419	41.49%	27.58%	30.93%	+0.27	-0.2	1
2012-07-28	@ Bronshoj	D 2-2	62.3	1419	1420	30.93%	27.58%	41.49%	-0.27	+0.2	1
2012-07-29	FC Fyn	W 3-2	52.8	1427	1400	45.14%	27.08%	27.78%	+0.40	+3.9	3
2012-07-29	@ Lyngby	L 2-3	52.8	1400	1427	27.78%	27.08%	45.14%	-0.40	-3.9	0
2012-07-29	Fredericia	D 1-1	55.9	1397	1410	39.53%	27.75%	32.73%	+0.20	-0.2	1
2012-07-29	@ Skive	D 1-1	55.9	1410	1397	32.73%	27.75%	39.53%	-0.20	+0.2	1
2012-07-29	Vejle Boldklub Kolding	D 1-1	57.8	1408	1470	32.64%	27.74%	39.62%	-0.03	+0.2	1
2012-07-29	@ HB Koge	D 1-1	57.8	1470	1408	39.62%	27.74%	32.64%	+0.03	-0.2	1
2012-07-29	FC Hjorring	W 1-0	41.4	1413	1378	46.19%	26.88%	26.93%	+0.43	+4.2	3
2012-07-29	@ Vestsjaelland	L 0-1	41.4	1378	1413	26.93%	26.88%	46.19%	-0.43	-4.2	0
2012-08-03	Bronshoj	W 1-0	44.2	1410	1420	39.96%	27.72%	32.33%	+0.22	+4.9	4
2012-08-03	@ Fredericia	L 0-1	44.2	1420	1410	32.33%	27.72%	39.96%	-0.22	-4.9	1
2012-08-03	Hobro	W 2-0	39.9	1374	1401	37.52%	27.84%	34.64%	+0.13	+9.7	3
2012-08-03	@ FC Hjorring	L 0-2	39.9	1401	1374	34.64%	27.84%	37.52%	-0.13	-9.7	3
2012-08-03	Vestsjaelland	W 7-1	41.6	1420	1417	41.74%	27.56%	30.71%	+0.28	+20.3	4
2012-08-03	@ Viborg	L 1-7	41.6	1417	1420	30.71%	27.56%	41.74%	-0.28	-20.3	3
2012-08-05	HB Koge	D 2-2	61.3	1396	1408	39.68%	27.74%	32.58%	+0.21	-0.1	1
2012-08-05	@ FC Fyn	D 2-2	61.3	1408	1396	32.58%	27.74%	39.68%	-0.21	+0.2	2
2012-08-05	Lyngby	L 0-1	43.0	1361	1431	31.60%	27.65%	40.75%	-0.07	-4.8	0
2012-08-05	@ AB Gladsaxe	W 1-0	43.0	1431	1361	40.75%	27.65%	31.60%	+0.07	+4.8	6
2012-08-05	Skive	W 4-1	40.9	1469	1397	51.30%	25.64%	23.07%	+0.62	+8.5	4
2012-08-05	@ Vejle Boldklub Kolding	L 1-4	40.9	1397	1469	23.07%	25.64%	51.30%	-0.62	-8.5	1
2012-08-08	AB Gladsaxe	D 2-2	60.9	1408	1356	48.55%	26.37%	25.08%	+0.52	-0.5	3
2012-08-08	@ HB Koge	D 2-2	60.9	1356	1408	25.08%	26.37%	48.55%	-0.52	+0.5	1
2012-08-08	FC Fyn	D 1-1	55.4	1388	1396	40.31%	27.69%	32.00%	+0.23	-0.2	2
2012-08-08	@ Skive	D 1-1	55.4	1396	1388	32.00%	27.69%	40.31%	-0.23	+0.2	2
2012-08-08	Vestsjaelland	D 1-1	55.5	1391	1397	40.61%	27.66%	31.72%	+0.24	-0.2	4
2012-08-08	@ Hobro	D 1-1	55.5	1397	1391	31.72%	27.66%	40.61%	-0.24	+0.2	4
2012-08-08	Vejle Boldklub Kolding	D 0-0	53.6	1415	1478	32.54%	27.73%	39.73%	-0.04	+0.2	2
2012-08-08	@ Bronshoj	D 0-0	53.6	1478	1415	39.73%	27.73%	32.54%	+0.04	-0.2	5
2012-08-08	FC Hjorring	W 3-1	43.1	1435	1384	48.48%	26.39%	25.13%	+0.52	+6.5	9
2012-08-08	@ Lyngby	L 1-3	43.1	1384	1435	25.13%	26.39%	48.48%	-0.52	-6.5	3
2012-08-08	Viborg	D 1-1	57.1	1415	1440	37.81%	27.83%	34.36%	+0.14	-0.1	5
2012-08-08	@ Fredericia	D 1-1	57.1	1440	1415	34.36%	27.83%	37.81%	-0.14	+0.1	5
2012-08-11	Lyngby	W 4-1	45.0	1397	1442	35.00%	27.85%	37.15%	+0.05	+12.5	7
2012-08-11	@ Vestsjaelland	L 1-4	45.0	1442	1397	37.15%	27.85%	35.00%	-0.05	-12.5	9
2012-08-12	Bronshoj	D 0-0	51.3	1396	1415	38.61%	27.80%	33.59%	+0.17	-0.2	3
2012-08-12	@ FC Fyn	D 0-0	51.3	1415	1396	33.59%	27.80%	38.61%	-0.17	+0.2	3
2012-08-12	Fredericia	D 0-0	54.1	1478	1415	49.99%	26.01%	24.01%	+0.57	-0.9	6
2012-08-12	@ Vejle Boldklub Kolding	D 0-0	54.1	1415	1478	24.01%	26.01%	49.99%	-0.57	+0.9	6
2012-08-12	HB Koge	W 1-0	44.0	1377	1407	37.08%	27.85%	35.07%	+0.12	+5.2	6
2012-08-12	@ FC Hjorring	L 0-1	44.0	1407	1377	35.07%	27.85%	37.08%	-0.12	-5.2	3
2012-08-12	Hobro	L 1-2	54.0	1440	1391	48.12%	26.47%	25.41%	+0.50	-6.2	5
2012-08-12	@ Viborg	W 2-1	54.0	1391	1440	25.41%	26.47%	48.12%	-0.50	+6.2	7
2012-08-12	Skive	L 0-1	43.8	1356	1388	36.88%	27.85%	35.26%	+0.11	-5.4	1
2012-08-12	@ AB Gladsaxe	W 1-0	43.8	1388	1356	35.26%	27.85%	36.88%	-0.11	+5.4	5
2012-08-18	AB Gladsaxe	D 1-1	55.6	1416	1351	50.21%	25.94%	23.84%	+0.58	-0.8	4
2012-08-18	@ Bronshoj	D 1-1	55.6	1351	1416	23.84%	25.94%	50.21%	-0.58	+0.8	2
2012-08-19	FC Fyn	D 3-3	65.3	1416	1396	44.16%	27.24%	28.60%	+0.36	-0.3	7
2012-08-19	@ Fredericia	D 3-3	65.3	1396	1416	28.60%	27.24%	44.16%	-0.36	+0.3	4
2012-08-19	Hobro	D 0-0	52.0	1429	1397	45.82%	26.95%	27.23%	+0.42	-0.6	10
2012-08-19	@ Lyngby	D 0-0	52.0	1397	1429	27.23%	26.95%	45.82%	-0.42	+0.6	8
2012-08-19	Vestsjaelland	L 0-1	46.1	1402	1410	40.33%	27.69%	31.98%	+0.23	-5.8	3
2012-08-19	@ HB Koge	W 1-0	46.1	1410	1402	31.98%	27.69%	40.33%	-0.23	+5.8	10
2012-08-19	FC Hjorring	W 2-0	38.3	1393	1382	42.89%	27.42%	29.69%	+0.32	+8.6	8
2012-08-19	@ Skive	L 0-2	38.3	1382	1393	29.69%	27.42%	42.89%	-0.32	-8.6	6
2012-08-19	Viborg	D 2-2	64.7	1477	1434	47.32%	26.65%	26.03%	+0.47	-0.5	7
2012-08-19	@ Vejle Boldklub Kolding	D 2-2	64.7	1434	1477	26.03%	26.65%	47.32%	-0.47	+0.5	6
2012-08-25	HB Koge	D 0-0	51.0	1398	1396	41.59%	27.57%	30.84%	+0.27	-0.3	9
2012-08-25	@ Hobro	D 0-0	51.0	1396	1398	30.84%	27.57%	41.59%	-0.27	+0.3	4
2012-08-26	Bronshoj	L 0-3	38.6	1374	1415	35.54%	27.86%	36.61%	+0.07	-14.3	6
2012-08-26	@ FC Hjorring	W 3-0	38.6	1415	1374	36.61%	27.86%	35.54%	-0.07	+14.3	7
2012-08-26	Fredericia	L 1-3	44.5	1352	1415	32.42%	27.72%	39.86%	-0.04	-8.0	2
2012-08-26	@ AB Gladsaxe	W 3-1	44.5	1415	1352	39.86%	27.72%	32.42%	+0.04	+8.0	10
2012-08-26	Skive	W 2-1	48.3	1415	1402	43.27%	27.37%	29.36%	+0.33	+4.3	13
2012-08-26	@ Vestsjaelland	L 1-2	48.3	1402	1415	29.36%	27.37%	43.27%	-0.33	-4.3	8
2012-08-26	Viborg	W 2-1	50.3	1429	1434	40.58%	27.67%	31.75%	+0.24	+4.5	13
2012-08-26	@ Lyngby	L 1-2	50.3	1434	1429	31.75%	27.67%	40.58%	-0.24	-4.5	6
2012-08-27	Vejle Boldklub Kolding	D 2-2	63.2	1396	1476	30.28%	27.50%	42.21%	-0.12	+0.2	5
2012-08-27	@ FC Fyn	D 2-2	63.2	1476	1396	42.21%	27.50%	30.28%	+0.12	-0.2	8
2012-09-01	Vestsjaelland	W 3-1	45.6	1429	1420	42.71%	27.44%	29.85%	+0.31	+7.5	10
2012-09-01	@ Bronshoj	L 1-3	45.6	1420	1429	29.85%	27.44%	42.71%	-0.31	-7.5	13
2012-09-02	AB Gladsaxe	L 0-2	46.7	1476	1344	58.80%	22.95%	18.25%	+0.91	-14.5	8
2012-09-02	@ Vejle Boldklub Kolding	W 2-0	46.7	1344	1476	18.25%	22.95%	58.80%	-0.91	+14.5	5
2012-09-02	FC Fyn	W 2-1	47.7	1430	1396	46.04%	26.91%	27.05%	+0.43	+4.0	9
2012-09-02	@ Viborg	L 1-2	47.7	1396	1430	27.05%	26.91%	46.04%	-0.43	-4.0	5
2012-09-02	Hobro	D 1-1	55.7	1398	1398	41.37%	27.59%	31.04%	+0.27	-0.3	9
2012-09-02	@ Skive	D 1-1	55.7	1398	1398	31.04%	27.59%	41.37%	-0.27	+0.3	10
2012-09-02	FC Hjorring	W 2-1	45.5	1423	1359	50.12%	25.97%	23.91%	+0.58	+3.6	13
2012-09-02	@ Fredericia	L 1-2	45.5	1359	1423	23.91%	25.97%	50.12%	-0.58	-3.6	6
2012-09-03	Lyngby	L 0-5	40.6	1397	1433	36.18%	27.86%	35.96%	+0.09	-23.4	4
2012-09-03	@ HB Koge	W 5-0	40.6	1433	1397	35.96%	27.86%	36.18%	-0.09	+23.4	16
2012-09-07	Vejle Boldklub Kolding	L 0-2	38.4	1356	1462	27.30%	26.97%	45.73%	-0.25	-8.0	6
2012-09-07	@ FC Hjorring	W 2-0	38.4	1462	1356	45.73%	26.97%	27.30%	+0.25	+8.0	11
2012-09-08	Bronshoj	W 1-0	45.5	1398	1437	35.86%	27.86%	36.28%	+0.08	+5.3	13
2012-09-08	@ Hobro	L 0-1	45.5	1437	1398	36.28%	27.86%	35.86%	-0.08	-5.3	10
2012-09-09	FC Fyn	L 1-2	49.2	1358	1392	36.53%	27.86%	35.62%	+0.10	-5.0	5
2012-09-09	@ AB Gladsaxe	W 2-1	49.2	1392	1358	35.62%	27.86%	36.53%	-0.10	+5.0	8
2012-09-09	Fredericia	D 0-0	52.0	1412	1427	39.27%	27.76%	32.96%	+0.19	-0.2	14
2012-09-09	@ Vestsjaelland	D 0-0	52.0	1427	1412	32.96%	27.76%	39.27%	-0.19	+0.2	14
2012-09-09	HB Koge	W 5-0	35.9	1434	1373	49.66%	26.09%	24.25%	+0.56	+17.0	12
2012-09-09	@ Viborg	L 0-5	35.9	1373	1434	24.25%	26.09%	49.66%	-0.56	-17.0	4
2012-09-09	Skive	W 5-1	40.0	1457	1397	49.52%	26.13%	24.35%	+0.55	+11.5	19
2012-09-09	@ Lyngby	L 1-5	40.0	1397	1457	24.35%	26.13%	49.52%	-0.55	-11.5	9
2012-09-14	Hobro	L 0-1	47.7	1427	1403	44.71%	27.15%	28.14%	+0.38	-6.2	14
2012-09-14	@ Fredericia	W 1-0	47.7	1403	1427	28.14%	27.15%	44.71%	-0.38	+6.2	16
2012-09-15	Lyngby	W 3-2	57.6	1431	1468	36.11%	27.86%	36.03%	+0.09	+4.7	13
2012-09-15	@ Bronshoj	L 2-3	57.6	1468	1431	36.03%	27.86%	36.11%	-0.09	-4.7	19
2012-09-16	HB Koge	W 2-1	46.1	1386	1356	45.47%	27.02%	27.52%	+0.41	+4.0	12
2012-09-16	@ Skive	L 1-2	46.1	1356	1386	27.52%	27.02%	45.47%	-0.41	-4.0	4
2012-09-16	Vestsjaelland	D 1-1	58.4	1470	1412	49.30%	26.18%	24.52%	+0.55	-0.7	12
2012-09-16	@ Vejle Boldklub Kolding	D 1-1	58.4	1412	1470	24.52%	26.18%	49.30%	-0.55	+0.7	15
2012-09-16	FC Hjorring	W 2-1	45.4	1397	1348	48.20%	26.45%	25.35%	+0.51	+3.8	11
2012-09-16	@ FC Fyn	L 1-2	45.4	1348	1397	25.35%	26.45%	48.20%	-0.51	-3.8	6
2012-09-16	Viborg	W 2-1	52.5	1353	1451	28.22%	27.16%	44.61%	-0.21	+5.8	8
2012-09-16	@ AB Gladsaxe	L 1-2	52.5	1451	1353	44.61%	27.16%	28.22%	+0.21	-5.9	12
2012-09-21	Skive	W 2-1	47.1	1445	1390	48.95%	26.27%	24.78%	+0.53	+3.7	15
2012-09-21	@ Viborg	L 1-2	47.1	1390	1445	24.78%	26.27%	48.95%	-0.53	-3.7	12
2012-09-22	Vejle Boldklub Kolding	L 0-1	45.7	1410	1469	32.98%	27.76%	39.25%	-0.02	-5.0	16
2012-09-22	@ Hobro	W 1-0	45.7	1469	1410	39.25%	27.76%	32.98%	+0.02	+5.0	15
2012-09-23	AB Gladsaxe	D 0-0	49.4	1344	1359	39.25%	27.76%	32.98%	+0.19	-0.2	7
2012-09-23	@ FC Hjorring	D 0-0	49.4	1359	1344	32.98%	27.76%	39.25%	-0.19	+0.2	9
2012-09-23	Bronshoj	W 2-1	51.7	1352	1436	29.88%	27.45%	42.68%	-0.14	+5.7	7
2012-09-23	@ HB Koge	L 1-2	51.7	1436	1352	42.68%	27.45%	29.88%	+0.14	-5.7	13
2012-09-23	FC Fyn	D 0-0	51.5	1413	1401	43.00%	27.40%	29.59%	+0.32	-0.4	16
2012-09-23	@ Vestsjaelland	D 0-0	51.5	1401	1413	29.59%	27.40%	43.00%	-0.32	+0.4	12
2012-09-23	Fredericia	L 1-2	55.3	1463	1421	47.26%	26.66%	26.07%	+0.47	-6.1	19
2012-09-23	@ Lyngby	W 2-1	55.3	1421	1463	26.07%	26.66%	47.26%	-0.47	+6.1	17
2012-09-28	FC Hjorring	W 4-1	37.8	1449	1344	55.39%	24.29%	20.32%	+0.77	+7.5	18
2012-09-28	@ Viborg	L 1-4	37.8	1344	1449	20.32%	24.29%	55.39%	-0.77	-7.5	7
2012-09-29	Skive	W 1-0	41.6	1430	1386	47.49%	26.61%	25.89%	+0.48	+4.1	16
2012-09-29	@ Bronshoj	L 0-1	41.6	1386	1430	25.89%	26.61%	47.49%	-0.48	-4.1	12
2012-09-30	AB Gladsaxe	W 1-0	40.2	1412	1359	48.67%	26.34%	24.99%	+0.52	+4.0	19
2012-09-30	@ Vestsjaelland	L 0-1	40.2	1359	1412	24.99%	26.34%	48.67%	-0.52	-4.0	9
2012-09-30	Fredericia	W 3-1	47.3	1358	1427	31.72%	27.66%	40.62%	-0.07	+9.4	10
2012-09-30	@ HB Koge	L 1-3	47.3	1427	1358	40.62%	27.66%	31.72%	+0.07	-9.4	17
2012-09-30	Lyngby	D 1-1	59.7	1474	1457	43.69%	27.31%	29.00%	+0.35	-0.4	16
2012-09-30	@ Vejle Boldklub Kolding	D 1-1	59.7	1457	1474	29.00%	27.31%	43.69%	-0.35	+0.4	20
2012-10-01	Hobro	D 4-4	66.7	1402	1405	40.95%	27.63%	31.42%	+0.25	-0.2	13
2012-10-01	@ FC Fyn	D 4-4	66.7	1405	1402	31.42%	27.63%	40.95%	-0.25	+0.1	17
2012-10-06	FC Hjorring	D 1-1	55.2	1405	1336	50.70%	25.81%	23.49%	+0.60	-0.8	18
2012-10-06	@ Hobro	D 1-1	55.2	1336	1405	23.49%	25.81%	50.70%	-0.60	+0.8	8
2012-10-07	FC Fyn	D 3-3	66.9	1458	1401	49.13%	26.23%	24.64%	+0.54	-0.4	21
2012-10-07	@ Lyngby	D 3-3	66.9	1401	1458	24.64%	26.23%	49.13%	-0.54	+0.5	14
2012-10-07	HB Koge	L 0-2	40.5	1355	1368	39.65%	27.74%	32.61%	+0.21	-10.7	9
2012-10-07	@ AB Gladsaxe	W 2-0	40.5	1368	1355	32.61%	27.74%	39.65%	-0.21	+10.7	13
2012-10-07	Vestsjaelland	L 0-1	47.0	1418	1416	41.58%	27.57%	30.85%	+0.27	-5.9	17
2012-10-07	@ Fredericia	W 1-0	47.0	1416	1418	30.85%	27.57%	41.58%	-0.27	+5.9	22
2012-10-07	Vejle Boldklub Kolding	L 0-2	39.9	1382	1473	28.94%	27.30%	43.76%	-0.18	-8.5	12
2012-10-07	@ Skive	W 2-0	39.9	1473	1382	43.76%	27.30%	28.94%	+0.18	+8.4	19
2012-10-07	Viborg	W 3-2	56.7	1434	1456	38.30%	27.81%	33.89%	+0.16	+4.5	19
2012-10-07	@ Bronshoj	L 2-3	56.7	1456	1434	33.89%	27.81%	38.30%	-0.16	-4.5	18
2012-10-12	AB Gladsaxe	D 0-0	52.1	1452	1345	55.67%	24.19%	20.14%	+0.78	-1.2	19
2012-10-12	@ Viborg	D 0-0	52.1	1345	1452	20.14%	24.19%	55.67%	-0.78	+1.2	10
2012-10-14	Bronshoj	W 2-1	52.1	1337	1439	27.74%	27.07%	45.20%	-0.23	+5.9	11
2012-10-14	@ FC Hjorring	L 1-2	52.1	1439	1337	45.20%	27.07%	27.74%	+0.23	-5.9	19
2012-10-14	Fredericia	L 1-3	47.8	1402	1412	39.97%	27.72%	32.31%	+0.22	-9.3	14
2012-10-14	@ FC Fyn	W 3-1	47.8	1412	1402	32.31%	27.72%	39.97%	-0.22	+9.3	20
2012-10-14	Hobro	W 2-0	38.4	1482	1404	51.97%	25.44%	22.59%	+0.64	+6.8	22
2012-10-14	@ Vejle Boldklub Kolding	L 0-2	38.4	1404	1482	22.59%	25.44%	51.97%	-0.64	-6.8	18
2012-10-14	Lyngby	L 0-2	39.9	1378	1457	30.43%	27.52%	42.05%	-0.12	-8.8	13
2012-10-14	@ HB Koge	W 2-0	39.9	1457	1378	42.05%	27.52%	30.43%	+0.12	+8.8	24
2012-10-14	Skive	W 2-1	46.4	1422	1374	48.06%	26.48%	25.45%	+0.50	+3.8	25
2012-10-14	@ Vestsjaelland	L 1-2	46.4	1374	1422	25.45%	26.48%	48.06%	-0.50	-3.8	12
2012-10-20	Hobro	W 1-0	42.3	1433	1397	46.37%	26.85%	26.78%	+0.44	+4.2	22
2012-10-20	@ Bronshoj	L 0-1	42.3	1397	1433	26.78%	26.85%	46.37%	-0.44	-4.2	18
2012-10-21	FC Fyn	W 5-2	44.9	1370	1392	38.16%	27.82%	34.03%	+0.16	+10.2	15
2012-10-21	@ Skive	L 2-5	44.9	1392	1370	34.03%	27.82%	38.16%	-0.16	-10.2	14
2012-10-21	HB Koge	D 2-2	61.5	1421	1369	48.49%	26.38%	25.12%	+0.52	-0.5	21
2012-10-21	@ Fredericia	D 2-2	61.5	1369	1421	25.12%	26.38%	48.49%	-0.52	+0.5	14
2012-10-21	Vejle Boldklub Kolding	D 1-1	59.0	1426	1489	32.53%	27.73%	39.74%	-0.04	+0.2	26
2012-10-21	@ Vestsjaelland	D 1-1	59.0	1489	1426	39.74%	27.73%	32.53%	+0.04	-0.2	23
2012-10-21	FC Hjorring	D 1-1	53.9	1346	1343	41.76%	27.55%	30.69%	+0.28	-0.3	11
2012-10-21	@ AB Gladsaxe	D 1-1	53.9	1343	1346	30.69%	27.55%	41.76%	-0.28	+0.3	12
2012-10-21	Viborg	L 0-2	46.3	1466	1450	43.58%	27.32%	29.09%	+0.34	-11.5	24
2012-10-21	@ Lyngby	W 2-0	46.3	1450	1466	29.09%	27.32%	43.58%	-0.34	+11.5	22
2012-10-27	AB Gladsaxe	D 1-1	54.9	1393	1346	47.92%	26.52%	25.56%	+0.50	-0.7	19
2012-10-27	@ Hobro	D 1-1	54.9	1346	1393	25.56%	26.52%	47.92%	-0.50	+0.7	12
2012-10-27	Fredericia	D 2-2	63.8	1462	1421	47.10%	26.70%	26.20%	+0.47	-0.4	23
2012-10-27	@ Viborg	D 2-2	63.8	1421	1462	26.20%	26.70%	47.10%	-0.47	+0.5	22
2012-10-28	Bronshoj	L 0-2	47.8	1488	1437	48.43%	26.40%	25.17%	+0.51	-12.5	23
2012-10-28	@ Vejle Boldklub Kolding	W 2-0	47.8	1437	1488	25.17%	26.40%	48.43%	-0.51	+12.5	25
2012-10-28	Lyngby	W 2-0	43.6	1343	1455	26.69%	26.82%	46.49%	-0.27	+12.1	15
2012-10-28	@ FC Hjorring	L 0-2	43.6	1455	1343	46.49%	26.82%	26.69%	+0.27	-12.1	24
2012-10-28	Skive	D 2-2	60.3	1370	1380	39.95%	27.72%	32.33%	+0.22	-0.2	15
2012-10-28	@ HB Koge	D 2-2	60.3	1380	1370	32.33%	27.72%	39.95%	-0.22	+0.2	16
2012-10-29	Vestsjaelland	L 0-1	44.5	1382	1426	35.14%	27.85%	37.01%	+0.05	-5.2	14
2012-10-29	@ FC Fyn	W 1-0	44.5	1426	1382	37.01%	27.85%	35.14%	-0.05	+5.2	29
2012-11-02	Viborg	L 0-2	40.0	1380	1461	30.17%	27.49%	42.35%	-0.13	-8.7	16
2012-11-02	@ Skive	W 2-0	40.0	1461	1380	42.35%	27.49%	30.17%	+0.13	+8.7	26
2012-11-04	Bronshoj	D 1-1	55.9	1346	1450	27.53%	27.02%	45.45%	-0.24	+0.5	13
2012-11-04	@ AB Gladsaxe	D 1-1	55.9	1450	1346	45.45%	27.02%	27.53%	+0.24	-0.5	26
2012-11-04	HB Koge	L 1-2	53.7	1431	1370	49.81%	26.05%	24.14%	+0.56	-6.4	29
2012-11-04	@ Vestsjaelland	W 2-1	53.7	1370	1431	24.14%	26.05%	49.81%	-0.56	+6.4	18
2012-11-04	Hobro	W 2-1	47.2	1443	1392	48.31%	26.43%	25.26%	+0.51	+3.8	27
2012-11-04	@ Lyngby	L 1-2	47.2	1392	1443	25.26%	26.43%	48.31%	-0.51	-3.8	19
2012-11-04	Vejle Boldklub Kolding	L 0-2	39.6	1377	1476	28.07%	27.13%	44.80%	-0.21	-8.2	14
2012-11-04	@ FC Fyn	W 2-0	39.6	1476	1377	44.80%	27.13%	28.07%	+0.21	+8.2	26
2012-11-04	FC Hjorring	W 5-1	37.9	1421	1356	50.33%	25.91%	23.75%	+0.58	+11.2	25
2012-11-04	@ Fredericia	L 1-5	37.9	1356	1421	23.75%	25.91%	50.33%	-0.58	-11.2	15
2012-11-10	Fredericia	D 2-2	61.7	1388	1432	35.13%	27.85%	37.02%	+0.05	+0.0	20
2012-11-10	@ Hobro	D 2-2	61.7	1432	1388	37.02%	27.85%	35.13%	-0.05	-0.0	26
2012-11-10	Lyngby	L 0-1	48.9	1449	1446	41.79%	27.55%	30.66%	+0.28	-5.9	26
2012-11-10	@ Bronshoj	W 1-0	48.9	1446	1449	30.66%	27.55%	41.79%	-0.28	+5.9	30
2012-11-11	AB Gladsaxe	W 1-0	38.4	1484	1347	59.43%	22.69%	17.88%	+0.93	+2.8	29
2012-11-11	@ Vejle Boldklub Kolding	L 0-1	38.4	1347	1484	17.88%	22.69%	59.43%	-0.93	-2.8	13
2012-11-11	FC Fyn	W 2-0	37.9	1376	1369	42.39%	27.48%	30.12%	+0.30	+8.7	21
2012-11-11	@ HB Koge	L 0-2	37.9	1369	1376	30.12%	27.48%	42.39%	-0.30	-8.7	14
2012-11-11	Skive	D 2-2	59.7	1344	1371	37.51%	27.84%	34.65%	+0.13	-0.1	16
2012-11-11	@ FC Hjorring	D 2-2	59.7	1371	1344	34.65%	27.84%	37.51%	-0.13	+0.1	17
2012-11-11	Vestsjaelland	D 0-0	54.0	1470	1425	47.63%	26.58%	25.78%	+0.49	-0.7	27
2012-11-11	@ Viborg	D 0-0	54.0	1425	1470	25.78%	26.58%	47.63%	-0.49	+0.7	30
2012-11-18	AB Gladsaxe	D 1-1	56.8	1452	1344	55.85%	24.12%	20.03%	+0.79	-1.1	31
2012-11-18	@ Lyngby	D 1-1	56.8	1344	1452	20.03%	24.12%	55.85%	-0.79	+1.1	14
2012-11-18	Bronshoj	L 1-2	53.2	1432	1443	39.81%	27.73%	32.47%	+0.21	-5.4	26
2012-11-18	@ Fredericia	W 2-1	53.2	1443	1432	32.47%	27.73%	39.81%	-0.21	+5.4	29
2012-11-18	Hobro	W 3-0	37.3	1371	1389	38.96%	27.78%	33.26%	+0.18	+13.7	20
2012-11-18	@ Skive	L 0-3	37.3	1389	1371	33.26%	27.78%	38.96%	-0.18	-13.7	20
2012-11-18	Vejle Boldklub Kolding	W 1-0	49.0	1385	1487	27.69%	27.06%	45.26%	-0.23	+6.3	24
2012-11-18	@ HB Koge	L 0-1	49.0	1487	1385	45.26%	27.06%	27.69%	+0.23	-6.3	29
2012-11-18	FC Hjorring	D 0-0	51.2	1426	1344	52.41%	25.30%	22.28%	+0.66	-1.0	31
2012-11-18	@ Vestsjaelland	D 0-0	51.2	1344	1426	22.28%	25.30%	52.41%	-0.66	+1.0	17
2012-11-18	Viborg	L 1-2	47.7	1360	1469	26.90%	26.88%	46.22%	-0.26	-4.0	14
2012-11-18	@ FC Fyn	W 2-1	47.7	1469	1360	46.22%	26.88%	26.90%	+0.26	+4.0	30
2012-11-23	HB Koge	D 0-0	53.5	1473	1391	52.53%	25.27%	22.21%	+0.67	-1.0	31
2012-11-23	@ Viborg	D 0-0	53.5	1391	1473	22.21%	25.27%	52.53%	-0.67	+1.0	25
2012-11-24	Skive	W 2-0	37.5	1449	1385	50.08%	25.98%	23.94%	+0.57	+7.2	32
2012-11-24	@ Bronshoj	L 0-2	37.5	1385	1449	23.94%	25.98%	50.08%	-0.57	-7.2	20
2012-11-24	Vestsjaelland	L 1-3	45.8	1375	1425	34.30%	27.83%	37.88%	+0.02	-8.3	20
2012-11-24	@ Hobro	W 3-1	45.8	1425	1375	37.88%	27.83%	34.30%	-0.02	+8.3	34
2012-11-25	FC Fyn	W 5-0	37.0	1345	1356	39.82%	27.73%	32.46%	+0.21	+21.6	20
2012-11-25	@ FC Hjorring	L 0-5	37.0	1356	1345	32.46%	27.73%	39.82%	-0.21	-21.6	14
2012-11-25	Fredericia	W 1-0	45.8	1345	1427	30.08%	27.47%	42.44%	-0.13	+6.0	17
2012-11-25	@ AB Gladsaxe	L 0-1	45.8	1427	1345	42.44%	27.47%	30.08%	+0.13	-6.0	26
2012-11-25	Lyngby	W 2-0	41.9	1481	1451	45.51%	27.01%	27.48%	+0.41	+8.1	32
2012-11-25	@ Vejle Boldklub Kolding	L 0-2	41.9	1451	1481	27.48%	27.01%	45.51%	-0.41	-8.1	31
2013-03-23	AB Gladsaxe	D 0-0	50.0	1378	1351	45.15%	27.07%	27.77%	+0.40	-0.6	21
2013-03-23	@ Skive	D 0-0	50.0	1351	1378	27.77%	27.07%	45.15%	-0.40	+0.6	18
2013-03-24	Hobro	FL	47.0	1335	1367	36.83%	27.85%	35.32%	+0.11	+0.0	14
2013-03-24	@ FC Fyn	FW	47.0	1367	1335	35.32%	27.85%	36.83%	-0.11	+0.0	23
2013-03-24	Bronshoj	W 1-0	46.4	1433	1456	38.12%	27.82%	34.06%	+0.15	+5.1	37
2013-03-24	@ Vestsjaelland	L 0-1	46.4	1456	1433	34.06%	27.82%	38.12%	-0.15	-5.1	32
2013-03-24	FC Hjorring	D 0-0	53.1	1472	1367	55.50%	24.25%	20.25%	+0.78	-1.2	32
2013-03-24	@ Viborg	D 0-0	53.1	1367	1472	20.25%	24.25%	55.50%	-0.78	+1.2	21
2013-03-28	FC Fyn	FW	49.6	1451	1335	56.82%	23.76%	19.43%	+0.83	+0.0	35
2013-03-28	@ Bronshoj	FL	49.6	1335	1451	19.43%	23.76%	56.82%	-0.83	+0.0	14
2013-03-28	Fredericia	W 2-0	39.6	1489	1421	50.67%	25.82%	23.51%	+0.60	+7.1	35
2013-03-28	@ Vejle Boldklub Kolding	L 0-2	39.6	1421	1489	23.51%	25.82%	50.67%	-0.60	-7.0	26
2013-03-28	HB Koge	W 1-0	43.3	1367	1392	37.73%	27.83%	34.44%	+0.14	+5.1	26
2013-03-28	@ Hobro	L 0-1	43.3	1392	1367	34.44%	27.83%	37.73%	-0.14	-5.1	25
2013-03-28	Skive	W 1-0	40.8	1443	1377	50.35%	25.91%	23.74%	+0.58	+3.8	34
2013-03-28	@ Lyngby	L 0-1	40.8	1377	1443	23.74%	25.91%	50.35%	-0.58	-3.8	21
2013-03-31	FC Hjorring	W 2-0	35.8	1496	1368	58.26%	23.18%	18.56%	+0.89	+5.6	38
2013-03-31	@ Vejle Boldklub Kolding	L 0-2	35.8	1368	1496	18.56%	23.18%	58.26%	-0.89	-5.6	21
2013-04-01	AB Gladsaxe	FL	46.8	1335	1351	38.99%	27.78%	33.23%	+0.18	+0.0	14
2013-04-01	@ FC Fyn	FW	46.8	1351	1335	33.23%	27.78%	38.99%	-0.18	+0.0	21
2013-04-01	Fredericia	W 4-3	57.2	1374	1414	35.64%	27.86%	36.50%	+0.07	+4.7	24
2013-04-01	@ Skive	L 3-4	57.2	1414	1374	36.50%	27.86%	35.64%	-0.07	-4.7	26
2013-04-01	Hobro	W 2-1	45.5	1471	1372	54.74%	24.53%	20.73%	+0.75	+3.1	35
2013-04-01	@ Viborg	L 1-2	45.5	1372	1471	20.73%	24.53%	54.74%	-0.75	-3.1	26
2013-04-01	Lyngby	W 2-0	41.9	1438	1447	40.13%	27.70%	32.16%	+0.22	+9.2	40
2013-04-01	@ Vestsjaelland	L 0-2	41.9	1447	1438	32.16%	27.70%	40.13%	-0.22	-9.2	34
2013-04-04	FC Fyn	FW	48.3	1409	1335	51.52%	25.57%	22.90%	+0.63	+0.0	29
2013-04-04	@ Fredericia	FL	48.3	1335	1409	22.90%	25.57%	51.52%	-0.63	+0.0	14
2013-04-04	HB Koge	W 2-1	47.0	1438	1387	48.35%	26.42%	25.23%	+0.51	+3.8	37
2013-04-04	@ Lyngby	L 1-2	47.0	1387	1438	25.23%	26.42%	48.35%	-0.51	-3.8	25
2013-04-04	Vejle Boldklub Kolding	L 1-2	47.9	1368	1501	24.42%	26.15%	49.43%	-0.38	-3.7	26
2013-04-04	@ Hobro	W 2-1	47.9	1501	1368	49.43%	26.15%	24.42%	+0.38	+3.7	41
2013-04-04	FC Hjorring	D 0-0	52.2	1451	1362	53.31%	25.01%	21.68%	+0.69	-1.1	36
2013-04-04	@ Bronshoj	D 0-0	52.2	1362	1451	21.68%	25.01%	53.31%	-0.69	+1.1	22
2013-04-04	Viborg	L 0-1	41.6	1351	1474	25.45%	26.48%	48.07%	-0.33	-4.0	21
2013-04-04	@ AB Gladsaxe	W 1-0	41.6	1474	1351	48.07%	26.48%	25.45%	+0.33	+4.0	38
2013-04-07	Lyngby	FL	48.4	1335	1441	27.17%	26.94%	45.88%	-0.25	+0.0	14
2013-04-07	@ FC Fyn	FW	48.4	1441	1335	45.88%	26.94%	27.17%	+0.25	+0.0	40
2013-04-07	AB Gladsaxe	W 2-1	45.7	1383	1347	46.35%	26.85%	26.80%	+0.44	+4.0	28
2013-04-07	@ HB Koge	L 1-2	45.7	1347	1383	26.80%	26.85%	46.35%	-0.44	-4.0	21
2013-04-07	Bronshoj	W 1-0	45.5	1478	1450	45.37%	27.04%	27.60%	+0.40	+4.3	41
2013-04-07	@ Viborg	L 0-1	45.5	1450	1478	27.60%	27.04%	45.37%	-0.40	-4.3	36
2013-04-07	Fredericia	W 1-0	42.9	1447	1409	46.65%	26.79%	26.56%	+0.45	+4.2	43
2013-04-07	@ Vestsjaelland	L 0-1	42.9	1409	1447	26.56%	26.79%	46.65%	-0.45	-4.2	29
2013-04-07	Hobro	W 3-1	43.5	1363	1365	41.18%	27.61%	31.20%	+0.26	+7.8	25
2013-04-07	@ FC Hjorring	L 1-3	43.5	1365	1363	31.20%	27.61%	41.18%	-0.26	-7.8	26
2013-04-07	Skive	W 3-1	42.0	1505	1378	58.13%	23.23%	18.64%	+0.88	+4.8	44
2013-04-07	@ Vejle Boldklub Kolding	L 1-3	42.0	1378	1505	18.64%	23.23%	58.13%	-0.88	-4.8	24
2013-04-10	Vestsjaelland	D 2-2	61.9	1373	1451	30.59%	27.54%	41.87%	-0.11	+0.2	25
2013-04-10	@ Skive	D 2-2	61.9	1451	1373	41.87%	27.54%	30.59%	+0.11	-0.2	44
2013-04-12	Vejle Boldklub Kolding	W 1-0	50.5	1371	1510	23.86%	25.95%	50.19%	-0.41	+6.8	28
2013-04-12	@ FC Hjorring	L 0-1	50.5	1510	1371	50.19%	25.95%	23.86%	+0.41	-6.8	44
2013-04-12	Viborg	L 0-1	41.9	1357	1483	25.17%	26.40%	48.43%	-0.34	-4.0	26
2013-04-12	@ Hobro	W 1-0	41.9	1483	1357	48.43%	26.40%	25.17%	+0.34	+4.0	44
2013-04-13	HB Koge	L 0-3	43.2	1445	1387	49.37%	26.17%	24.47%	+0.55	-18.4	36
2013-04-13	@ Bronshoj	W 3-0	43.2	1387	1445	24.47%	26.17%	49.37%	-0.55	+18.4	31
2013-04-14	FC Fyn	FW	46.8	1343	1335	42.62%	27.45%	29.92%	+0.31	+0.0	24
2013-04-14	@ AB Gladsaxe	FL	46.8	1335	1343	29.92%	27.45%	42.62%	-0.31	+0.0	14
2013-04-14	Skive	W 3-2	51.5	1405	1374	45.73%	26.97%	27.30%	+0.42	+3.8	32
2013-04-14	@ Fredericia	L 2-3	51.5	1374	1405	27.30%	26.97%	45.73%	-0.42	-3.8	25
2013-04-14	Vestsjaelland	L 0-1	48.3	1441	1451	40.00%	27.71%	32.29%	+0.22	-5.7	40
2013-04-14	@ Lyngby	W 1-0	48.3	1451	1441	32.29%	27.71%	40.00%	-0.22	+5.7	47
2013-04-17	Vestsjaelland	L 1-2	46.9	1343	1457	26.45%	26.76%	46.78%	-0.28	-3.9	24
2013-04-17	@ AB Gladsaxe	W 2-1	46.9	1457	1343	46.78%	26.76%	26.45%	+0.28	+3.9	50
2013-04-17	FC Hjorring	L 1-2	52.2	1406	1378	45.22%	27.06%	27.72%	+0.40	-5.9	31
2013-04-17	@ HB Koge	W 2-1	52.2	1378	1406	27.72%	27.06%	45.22%	-0.40	+5.9	31
2013-04-19	Vejle Boldklub Kolding	L 1-3	48.5	1427	1503	30.80%	27.57%	41.63%	-0.10	-7.7	36
2013-04-19	@ Bronshoj	W 3-1	48.5	1503	1427	41.63%	27.57%	30.80%	+0.10	+7.7	47
2013-04-19	Viborg	D 1-1	58.4	1409	1487	30.59%	27.54%	41.86%	-0.11	+0.3	33
2013-04-19	@ Fredericia	D 1-1	58.4	1487	1409	41.86%	27.54%	30.59%	+0.11	-0.3	45
2013-04-20	HB Koge	L 0-1	44.3	1370	1400	37.13%	27.85%	35.02%	+0.12	-5.4	25
2013-04-20	@ Skive	W 1-0	44.3	1400	1370	35.02%	27.85%	37.13%	-0.12	+5.4	34
2013-04-21	FC Fyn	FW	50.0	1461	1335	58.04%	23.27%	18.69%	+0.88	+0.0	53
2013-04-21	@ Vestsjaelland	FL	50.0	1335	1461	18.69%	23.27%	58.04%	-0.88	+0.0	14
2013-04-21	Hobro	D 0-0	49.3	1340	1353	39.45%	27.75%	32.79%	+0.20	-0.2	25
2013-04-21	@ AB Gladsaxe	D 0-0	49.3	1353	1340	32.79%	27.75%	39.45%	-0.20	+0.2	27
2013-04-21	FC Hjorring	W 2-1	46.8	1436	1384	48.50%	26.38%	25.12%	+0.52	+3.8	43
2013-04-21	@ Lyngby	L 1-2	46.8	1384	1436	25.12%	26.38%	48.50%	-0.52	-3.7	31
2013-04-24	Skive	FL	46.9	1335	1364	37.12%	27.85%	35.03%	+0.12	+0.0	14
2013-04-24	@ FC Fyn	FW	46.9	1364	1335	35.03%	27.85%	37.12%	-0.12	+0.0	28
2013-04-24	AB Gladsaxe	D 1-1	54.6	1380	1339	47.04%	26.71%	26.25%	+0.46	-0.6	32
2013-04-24	@ FC Hjorring	D 1-1	54.6	1339	1380	26.25%	26.71%	47.04%	-0.46	+0.6	26
2013-04-24	Bronshoj	W 2-0	41.5	1353	1419	32.11%	27.70%	40.19%	-0.05	+10.8	30
2013-04-24	@ Hobro	L 0-2	41.5	1419	1353	40.19%	27.70%	32.11%	+0.05	-10.8	36
2013-04-24	Fredericia	L 1-2	51.8	1405	1409	40.81%	27.65%	31.54%	+0.25	-5.5	34
2013-04-24	@ HB Koge	W 2-1	51.8	1409	1405	31.54%	27.65%	40.81%	-0.25	+5.5	36
2013-04-24	Lyngby	W 2-0	40.9	1486	1439	47.86%	26.53%	25.61%	+0.49	+7.6	48
2013-04-24	@ Viborg	L 0-2	40.9	1439	1486	25.61%	26.53%	47.86%	-0.49	-7.6	43
2013-04-24	Vestsjaelland	W 1-0	46.2	1511	1461	48.29%	26.43%	25.28%	+0.51	+4.0	50
2013-04-24	@ Vejle Boldklub Kolding	L 0-1	46.2	1461	1511	25.28%	26.43%	48.29%	-0.51	-4.0	53
2013-04-28	Bronshoj	FL	47.7	1335	1409	31.09%	27.60%	41.31%	-0.09	+0.0	14
2013-04-28	@ FC Fyn	FW	47.7	1409	1335	41.31%	27.60%	31.09%	+0.09	+0.0	39
2013-04-28	AB Gladsaxe	D 0-0	52.2	1457	1340	56.90%	23.72%	19.38%	+0.83	-1.3	54
2013-04-28	@ Vestsjaelland	D 0-0	52.2	1340	1457	19.38%	23.72%	56.90%	-0.83	+1.3	27
2013-04-28	Hobro	D 1-1	55.3	1400	1364	46.31%	26.86%	26.83%	+0.44	-0.6	35
2013-04-28	@ HB Koge	D 1-1	55.3	1364	1400	26.83%	26.86%	46.31%	-0.44	+0.6	31
2013-04-28	Lyngby	L 0-1	43.2	1364	1432	31.94%	27.68%	40.38%	-0.06	-4.8	28
2013-04-28	@ Skive	W 1-0	43.2	1432	1364	40.38%	27.68%	31.94%	+0.06	+4.8	46
2013-04-28	Vejle Boldklub Kolding	D 1-1	59.7	1415	1515	27.91%	27.10%	44.99%	-0.22	+0.5	37
2013-04-28	@ Fredericia	D 1-1	59.7	1515	1415	44.99%	27.10%	27.91%	+0.22	-0.5	51
2013-04-28	Viborg	D 1-1	58.0	1380	1494	26.35%	26.74%	46.91%	-0.29	+0.6	33
2013-04-28	@ FC Hjorring	D 1-1	58.0	1494	1380	46.91%	26.74%	26.35%	+0.29	-0.6	49
2013-05-01	Bronshoj	W 2-0	39.8	1399	1409	40.04%	27.71%	32.25%	+0.22	+9.2	38
2013-05-01	@ HB Koge	L 0-2	39.8	1409	1399	32.25%	27.71%	40.04%	-0.22	-9.2	39
2013-05-01	Lyngby	L 1-3	48.3	1415	1437	38.32%	27.81%	33.87%	+0.16	-9.0	37
2013-05-01	@ Fredericia	W 3-1	48.3	1437	1415	33.87%	27.81%	38.32%	-0.16	+9.0	49
2013-05-02	Viborg	D 1-1	62.6	1514	1493	44.32%	27.21%	28.47%	+0.37	-0.4	52
2013-05-02	@ Vejle Boldklub Kolding	D 1-1	62.6	1493	1514	28.47%	27.21%	44.32%	-0.37	+0.5	50
2013-05-04	FC Fyn	FW	47.2	1365	1335	45.57%	27.00%	27.43%	+0.41	+0.0	34
2013-05-04	@ Hobro	FL	47.2	1335	1365	27.43%	27.00%	45.57%	-0.41	+0.0	14
2013-05-04	Skive	L 0-3	38.0	1341	1360	38.76%	27.79%	33.45%	+0.18	-15.3	27
2013-05-04	@ AB Gladsaxe	W 3-0	38.0	1360	1341	33.45%	27.79%	38.76%	-0.18	+15.3	31
2013-05-04	Vestsjaelland	L 1-2	50.6	1399	1455	33.42%	27.79%	38.79%	-0.01	-4.7	39
2013-05-04	@ Bronshoj	W 2-1	50.6	1455	1399	38.79%	27.79%	33.42%	+0.01	+4.7	57
2013-05-05	Fredericia	W 2-1	48.1	1446	1406	46.87%	26.75%	26.38%	+0.46	+3.9	52
2013-05-05	@ Lyngby	L 1-2	48.1	1406	1446	26.38%	26.75%	46.87%	-0.46	-3.9	37
2013-05-05	HB Koge	W 4-0	38.3	1380	1408	37.38%	27.84%	34.78%	+0.13	+18.5	36
2013-05-05	@ FC Hjorring	L 0-4	38.3	1408	1380	34.78%	27.84%	37.38%	-0.13	-18.5	38
2013-05-05	Vejle Boldklub Kolding	W 2-1	56.0	1494	1514	38.52%	27.80%	33.68%	+0.17	+4.8	53
2013-05-05	@ Viborg	L 1-2	56.0	1514	1494	33.68%	27.80%	38.52%	-0.17	-4.8	52
2013-05-08	HB Koge	FL	47.3	1335	1390	33.55%	27.80%	38.66%	+0.00	+0.0	14
2013-05-08	@ FC Fyn	FW	47.3	1390	1335	38.66%	27.80%	33.55%	+0.00	+0.0	41
2013-05-08	Bronshoj	D 2-2	62.8	1450	1395	48.94%	26.28%	24.79%	+0.53	-0.5	53
2013-05-08	@ Lyngby	D 2-2	62.8	1395	1450	24.79%	26.28%	48.94%	-0.53	+0.5	40
2013-05-08	Hobro	W 5-3	47.8	1402	1365	46.57%	26.81%	26.62%	+0.45	+5.8	40
2013-05-08	@ Fredericia	L 3-5	47.8	1365	1402	26.62%	26.81%	46.57%	-0.45	-5.8	34
2013-05-08	Vejle Boldklub Kolding	W 3-1	52.0	1326	1509	19.99%	24.10%	55.91%	-0.62	+12.1	30
2013-05-08	@ AB Gladsaxe	L 1-3	52.0	1509	1326	55.91%	24.10%	19.99%	+0.62	-12.1	52
2013-05-08	FC Hjorring	W 3-1	45.2	1375	1399	38.00%	27.82%	34.18%	+0.15	+8.3	34
2013-05-08	@ Skive	L 1-3	45.2	1399	1375	34.18%	27.82%	38.00%	-0.15	-8.3	36
2013-05-08	Viborg	L 2-3	59.6	1460	1499	35.91%	27.86%	36.24%	+0.08	-4.7	57
2013-05-08	@ Vestsjaelland	W 3-2	59.6	1499	1460	36.24%	27.86%	35.91%	-0.08	+4.7	56
2013-05-11	AB Gladsaxe	D 1-1	54.9	1395	1338	49.22%	26.20%	24.57%	+0.54	-0.7	41
2013-05-11	@ Bronshoj	D 1-1	54.9	1338	1395	24.57%	26.20%	49.22%	-0.54	+0.7	31
2013-05-11	Lyngby	W 1-0	46.9	1359	1449	29.09%	27.32%	43.58%	-0.17	+6.1	37
2013-05-11	@ Hobro	L 0-1	46.9	1449	1359	43.58%	27.32%	29.09%	+0.17	-6.1	53
2013-05-12	FC Fyn	FW	51.4	1497	1335	62.38%	21.36%	16.26%	+1.05	+0.0	55
2013-05-12	@ Vejle Boldklub Kolding	FL	51.4	1335	1497	16.26%	21.36%	62.38%	-1.05	+0.0	14
2013-05-12	Fredericia	L 0-1	45.4	1390	1408	38.89%	27.78%	33.33%	+0.18	-5.6	36
2013-05-12	@ FC Hjorring	W 1-0	45.4	1408	1390	33.33%	27.78%	38.89%	-0.18	+5.6	43
2013-05-12	Skive	W 3-0	34.9	1503	1383	57.29%	23.57%	19.14%	+0.85	+8.3	59
2013-05-12	@ Viborg	L 0-3	34.9	1383	1503	19.14%	23.57%	57.29%	-0.85	-8.4	34
2013-05-12	Vestsjaelland	L 0-1	44.5	1390	1455	32.15%	27.70%	40.15%	-0.05	-4.9	41
2013-05-12	@ HB Koge	W 1-0	44.5	1455	1390	40.15%	27.70%	32.15%	+0.05	+4.9	60
2013-05-16	FC Hjorring	FL	47.2	1335	1385	34.24%	27.83%	37.93%	+0.02	+0.0	14
2013-05-16	@ FC Fyn	FW	47.2	1385	1335	37.93%	27.83%	34.24%	-0.02	+0.0	39
2013-05-16	AB Gladsaxe	L 1-2	53.1	1414	1339	51.55%	25.56%	22.89%	+0.63	-6.5	43
2013-05-16	@ Fredericia	W 2-1	53.1	1339	1414	22.89%	25.56%	51.55%	-0.63	+6.5	34
2013-05-16	Bronshoj	L 0-2	41.0	1375	1394	38.60%	27.80%	33.60%	+0.17	-10.5	34
2013-05-16	@ Skive	W 2-0	41.0	1394	1375	33.60%	27.80%	38.60%	-0.17	+10.5	44
2013-05-16	Hobro	D 0-0	52.6	1460	1365	54.20%	24.71%	21.09%	+0.73	-1.1	61
2013-05-16	@ Vestsjaelland	D 0-0	52.6	1365	1460	21.09%	24.71%	54.20%	-0.73	+1.1	38
2013-05-16	Vejle Boldklub Kolding	W 4-0	43.8	1443	1497	33.69%	27.80%	38.50%	+0.00	+19.9	56
2013-05-16	@ Lyngby	L 0-4	43.8	1497	1443	38.50%	27.80%	33.69%	+0.00	-19.9	55
2013-05-17	Viborg	W 2-1	56.0	1385	1512	25.06%	26.36%	48.58%	-0.35	+6.3	44
2013-05-17	@ HB Koge	L 1-2	56.0	1512	1385	48.58%	26.36%	25.06%	+0.35	-6.2	59
2013-05-20	FC Fyn	FW	51.7	1505	1335	63.34%	20.91%	15.75%	+1.09	+0.0	62
2013-05-20	@ Viborg	FL	51.7	1335	1505	15.75%	20.91%	63.34%	-1.09	+0.0	14
2013-05-20	Fredericia	D 2-2	61.6	1405	1407	41.09%	27.62%	31.29%	+0.26	-0.2	45
2013-05-20	@ Bronshoj	D 2-2	61.6	1407	1405	31.29%	27.62%	41.09%	-0.26	+0.2	44
2013-05-20	HB Koge	W 2-0	37.5	1477	1391	53.01%	25.11%	21.88%	+0.68	+6.6	58
2013-05-20	@ Vejle Boldklub Kolding	L 0-2	37.5	1391	1477	21.88%	25.11%	53.01%	-0.68	-6.6	44
2013-05-20	Lyngby	W 4-2	53.2	1345	1463	26.01%	26.64%	47.35%	-0.30	+9.5	37
2013-05-20	@ AB Gladsaxe	L 2-4	53.2	1463	1345	47.35%	26.64%	26.01%	+0.30	-9.5	56
2013-05-20	Skive	L 3-4	57.7	1366	1364	41.63%	27.57%	30.81%	+0.27	-5.1	38
2013-05-20	@ Hobro	W 4-3	57.7	1364	1366	30.81%	27.57%	41.63%	-0.27	+5.1	37
2013-05-20	Vestsjaelland	D 0-0	52.2	1385	1459	31.02%	27.59%	41.39%	-0.10	+0.3	40
2013-05-20	@ FC Hjorring	D 0-0	52.2	1459	1385	41.39%	27.59%	31.02%	+0.10	-0.3	62

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	2012-09-02	18.25%	AB Gladsaxe	1344	2	@ Vejle Boldklub Kolding	1476	0
2	2013-05-08	19.99%	@ AB Gladsaxe	1326	3	Vejle Boldklub Kolding	1509	1
3	2013-05-16	22.89%	AB Gladsaxe	1339	2	@ Fredericia	1414	1
4	2013-04-12	23.86%	@ FC Hjorring	1371	1	Vejle Boldklub Kolding	1510	0
5	2012-11-04	24.14%	HB Koge	1370	2	@ Vestsjaelland	1431	1
6	2013-04-13	24.47%	HB Koge	1387	3	@ Bronshoj	1445	0
7	2013-05-17	25.06%	@ HB Koge	1385	2	Viborg	1512	1
8	2012-10-28	25.17%	Bronshoj	1437	2	@ Vejle Boldklub Kolding	1488	0
9	2012-08-12	25.41%	Hobro	1391	2	@ Viborg	1440	1
10	2013-05-20	26.01%	@ AB Gladsaxe	1345	4	Lyngby	1463	2
11	2012-09-23	26.07%	Fredericia	1421	2	@ Lyngby	1463	1
12	2012-10-28	26.69%	@ FC Hjorring	1343	2	Lyngby	1455	0
13	2012-11-18	27.69%	@ HB Koge	1385	1	Vejle Boldklub Kolding	1487	0
14	2013-04-17	27.72%	FC Hjorring	1378	2	@ HB Koge	1406	1
15	2012-10-14	27.74%	@ FC Hjorring	1337	2	Bronshoj	1439	1
16	2012-09-14	28.14%	Hobro	1403	1	@ Fredericia	1427	0
17	2012-09-16	28.22%	@ AB Gladsaxe	1353	2	Viborg	1451	1
18	2012-10-21	29.09%	Viborg	1450	2	@ Lyngby	1466	0
19	2013-05-11	29.09%	@ Hobro	1359	1	Lyngby	1449	0
20	2012-09-23	29.88%	@ HB Koge	1352	2	Bronshoj	1436	1
21	2012-11-25	30.08%	@ AB Gladsaxe	1345	1	Fredericia	1427	0
22	2012-11-10	30.66%	Lyngby	1446	1	@ Bronshoj	1449	0
23	2013-05-20	30.81%	Skive	1364	4	@ Hobro	1366	3
24	2012-10-07	30.85%	Vestsjaelland	1416	1	@ Fredericia	1418	0
25	2013-04-24	31.54%	Fredericia	1409	2	@ HB Koge	1405	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	2012-09-03	23.40	Lyngby	5	1433	35.96%	@ HB Koge	0	1397	36.18%	27.86%
2	2012-11-25	21.61	@ FC Hjorring	5	1345	39.82%	FC Fyn	0	1356	32.46%	27.73%
3	2012-08-03	20.28	@ Viborg	7	1420	41.74%	Vestsjaelland	1	1417	30.71%	27.56%
4	2013-05-16	19.88	@ Lyngby	4	1443	33.69%	Vejle Boldklub Kolding	0	1497	38.50%	27.80%
5	2013-05-05	18.46	@ FC Hjorring	4	1380	37.38%	HB Koge	0	1408	34.78%	27.84%
6	2013-04-13	18.39	HB Koge	3	1387	24.47%	@ Bronshoj	0	1445	49.37%	26.17%
7	2012-09-09	16.97	@ Viborg	5	1434	49.66%	HB Koge	0	1373	24.25%	26.09%
8	2013-05-04	15.29	Skive	3	1360	33.45%	@ AB Gladsaxe	0	1341	38.76%	27.79%
9	2012-09-02	14.51	AB Gladsaxe	2	1344	18.25%	@ Vejle Boldklub Kolding	0	1476	58.80%	22.95%
10	2012-08-26	14.35	Bronshoj	3	1415	36.61%	@ FC Hjorring	0	1374	35.54%	27.86%
11	2012-11-18	13.67	@ Skive	3	1371	38.96%	Hobro	0	1389	33.26%	27.78%
12	2012-08-11	12.50	@ Vestsjaelland	4	1397	35.00%	Lyngby	1	1442	37.15%	27.85%
13	2012-10-28	12.48	Bronshoj	2	1437	25.17%	@ Vejle Boldklub Kolding	0	1488	48.43%	26.40%
14	2012-10-28	12.09	@ FC Hjorring	2	1343	26.69%	Lyngby	0	1455	46.49%	26.82%
15	2013-05-08	12.08	@ AB Gladsaxe	3	1326	19.99%	Vejle Boldklub Kolding	1	1509	55.91%	24.10%
16	2012-09-09	11.52	@ Lyngby	5	1457	49.52%	Skive	1	1397	24.35%	26.13%
17	2012-10-21	11.50	Viborg	2	1450	29.09%	@ Lyngby	0	1466	43.58%	27.32%
18	2012-11-04	11.25	@ Fredericia	5	1421	50.33%	FC Hjorring	1	1356	23.75%	25.91%
19	2013-04-24	10.82	@ Hobro	2	1353	32.11%	Bronshoj	0	1419	40.19%	27.70%
20	2012-10-07	10.71	HB Koge	2	1368	32.61%	@ AB Gladsaxe	0	1355	39.65%	27.74%
21	2013-05-16	10.50	Bronshoj	2	1394	33.60%	@ Skive	0	1375	38.60%	27.80%
22	2012-10-21	10.15	@ Skive	5	1370	38.16%	FC Fyn	2	1392	34.03%	27.82%
23	2012-08-03	9.70	@ FC Hjorring	2	1374	37.52%	Hobro	0	1401	34.64%	27.84%
24	2013-05-20	9.50	@ AB Gladsaxe	4	1345	26.01%	Lyngby	2	1463	47.35%	26.64%
25	2012-09-30	9.44	@ HB Koge	3	1358	31.72%	Fredericia	1	1427	40.62%	27.66%

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	2012-10-07	66.9	@ Lyngby	3	1458	49.13%	FC Fyn	3	1401	24.64%	26.23%
2	2012-10-01	66.7	@ FC Fyn	4	1402	40.95%	Hobro	4	1405	31.42%	27.63%
3	2012-08-19	65.3	@ Fredericia	3	1416	44.16%	FC Fyn	3	1396	28.60%	27.24%
4	2012-08-19	64.7	@ Vejle Boldklub Kolding	2	1477	47.32%	Viborg	2	1434	26.03%	26.65%
5	2012-10-27	63.8	@ Viborg	2	1462	47.10%	Fredericia	2	1421	26.20%	26.70%
6	2012-08-27	63.2	@ FC Fyn	2	1396	30.28%	Vejle Boldklub Kolding	2	1476	42.21%	27.50%
7	2013-05-08	62.8	@ Lyngby	2	1450	48.94%	Bronshoj	2	1395	24.79%	26.28%
8	2013-05-02	62.6	@ Vejle Boldklub Kolding	1	1514	44.32%	Viborg	1	1493	28.47%	27.21%
9	2012-07-28	62.3	@ Bronshoj	2	1420	41.49%	Viborg	2	1419	30.93%	27.58%
10	2013-04-10	61.9	@ Skive	2	1373	30.59%	Vestsjaelland	2	1451	41.87%	27.54%
11	2012-11-10	61.7	@ Hobro	2	1388	35.13%	Fredericia	2	1432	37.02%	27.85%
12	2013-05-20	61.6	@ Bronshoj	2	1405	41.09%	Fredericia	2	1407	31.29%	27.62%
13	2012-10-21	61.5	@ Fredericia	2	1421	48.49%	HB Koge	2	1369	25.12%	26.38%
14	2012-08-05	61.3	@ FC Fyn	2	1396	39.68%	HB Koge	2	1408	32.58%	27.74%
15	2012-08-08	60.9	@ HB Koge	2	1408	48.55%	AB Gladsaxe	2	1356	25.08%	26.37%
16	2012-10-28	60.3	@ HB Koge	2	1370	39.95%	Skive	2	1380	32.33%	27.72%
17	2012-09-30	59.7	@ Vejle Boldklub Kolding	1	1474	43.69%	Lyngby	1	1457	29.00%	27.31%
18	2012-11-11	59.7	@ FC Hjorring	2	1344	37.51%	Skive	2	1371	34.65%	27.84%
19	2013-04-28	59.7	@ Fredericia	1	1415	27.91%	Vejle Boldklub Kolding	1	1515	44.99%	27.10%
20	2013-05-08	59.6	Viborg	3	1499	36.24%	@ Vestsjaelland	2	1460	35.91%	27.86%
21	2012-10-21	59.0	@ Vestsjaelland	1	1426	32.53%	Vejle Boldklub Kolding	1	1489	39.74%	27.73%
22	2012-09-16	58.4	@ Vejle Boldklub Kolding	1	1470	49.30%	Vestsjaelland	1	1412	24.52%	26.18%
23	2013-04-19	58.4	@ Fredericia	1	1409	30.59%	Viborg	1	1487	41.86%	27.54%
24	2013-04-28	58.0	@ FC Hjorring	1	1380	26.35%	Viborg	1	1494	46.91%	26.74%
25	2012-07-29	57.8	@ HB Koge	1	1408	32.64%	Vejle Boldklub Kolding	1	1470	39.62%	27.74%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2013-05-12	34.9	@ Viborg	3	1503	57.29%	Skive	0	1383	19.14%	23.57%
2	2013-03-31	35.8	@ Vejle Boldklub Kolding	2	1496	58.26%	FC Hjorring	0	1368	18.56%	23.18%
3	2012-09-09	35.9	@ Viborg	5	1434	49.66%	HB Koge	0	1373	24.25%	26.09%
4	2012-11-25	37.0	@ FC Hjorring	5	1345	39.82%	FC Fyn	0	1356	32.46%	27.73%
5	2012-11-18	37.3	@ Skive	3	1371	38.96%	Hobro	0	1389	33.26%	27.78%
6	2012-11-24	37.5	@ Bronshoj	2	1449	50.08%	Skive	0	1385	23.94%	25.98%
7	2013-05-20	37.5	@ Vejle Boldklub Kolding	2	1477	53.01%	HB Koge	0	1391	21.88%	25.11%
8	2012-09-28	37.8	@ Viborg	4	1449	55.39%	FC Hjorring	1	1344	20.32%	24.29%
9	2012-11-04	37.9	@ Fredericia	5	1421	50.33%	FC Hjorring	1	1356	23.75%	25.91%
10	2012-11-11	37.9	@ HB Koge	2	1376	42.39%	FC Fyn	0	1369	30.12%	27.48%
11	2013-05-04	38.0	Skive	3	1360	33.45%	@ AB Gladsaxe	0	1341	38.76%	27.79%
12	2012-08-19	38.3	@ Skive	2	1393	42.89%	FC Hjorring	0	1382	29.69%	27.42%
13	2013-05-05	38.3	@ FC Hjorring	4	1380	37.38%	HB Koge	0	1408	34.78%	27.84%
14	2012-09-07	38.4	Vejle Boldklub Kolding	2	1462	45.73%	@ FC Hjorring	0	1356	27.30%	26.97%
15	2012-10-14	38.4	@ Vejle Boldklub Kolding	2	1482	51.97%	Hobro	0	1404	22.59%	25.44%
16	2012-11-11	38.4	@ Vejle Boldklub Kolding	1	1484	59.43%	AB Gladsaxe	0	1347	17.88%	22.69%
17	2012-08-26	38.6	Bronshoj	3	1415	36.61%	@ FC Hjorring	0	1374	35.54%	27.86%
18	2012-11-04	39.6	Vejle Boldklub Kolding	2	1476	44.80%	@ FC Fyn	0	1377	28.07%	27.13%
19	2013-03-28	39.6	@ Vejle Boldklub Kolding	2	1489	50.67%	Fredericia	0	1421	23.51%	25.82%
20	2013-05-01	39.8	@ HB Koge	2	1399	40.04%	Bronshoj	0	1409	32.25%	27.71%
21	2012-08-03	39.9	@ FC Hjorring	2	1374	37.52%	Hobro	0	1401	34.64%	27.84%
22	2012-10-07	39.9	Vejle Boldklub Kolding	2	1473	43.76%	@ Skive	0	1382	28.94%	27.30%
23	2012-10-14	39.9	Lyngby	2	1457	42.05%	@ HB Koge	0	1378	30.43%	27.52%
24	2012-09-09	40.0	@ Lyngby	5	1457	49.52%	Skive	1	1397	24.35%	26.13%
25	2012-11-02	40.0	Viborg	2	1461	42.35%	@ Skive	0	1380	30.17%	27.49%