2016-17 1st Division Season

198 games

Final

Promoted

Hobro

58 pts

Helsingor · via playoff

Relegated

AB Gladsaxe

24 pts

Naestved · 35 pts

Biggest Overachiever

Skive

9.39 points above expected

49 points · 39.61 expected points

Biggest Disappointment

Fremad Amager

11.02 points below expected

41 points · 52.02 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	Hobro Promoted	33	17	7	9	58	54	34	+20	53.63	+4.37
2	Vendsyssel	33	16	7	10	55	51	39	+12	48.95	+6.05
3	Helsingor Promoted	33	14	11	8	53	43	31	+12	50.94	+2.06
4	FC Roskilde	33	14	8	11	50	44	43	+1	44.18	+5.82
5	Skive	33	15	4	14	49	41	51	-10	39.61	+9.39
6	HB Koge	33	11	14	8	47	33	27	+6	48.14	-1.14
7	Nykobing	33	13	7	13	46	50	51	-1	43.17	+2.83
8	Fredericia	33	11	10	12	43	36	43	-7	39.53	+3.47
9	Vejle BK	33	10	11	12	41	49	46	+3	49.61	-8.61
10	Fremad Amager	33	10	11	12	41	42	45	-3	52.02	-11.02
11	Naestved Relegated	33	9	8	16	35	45	51	-6	40.15	-5.15
12	AB Gladsaxe Relegated	33	6	6	21	24	34	61	-27	29.90	-5.90

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	Skive	49	39.61	+9.39
2	Vendsyssel	55	48.95	+6.05
3	FC Roskilde	50	44.18	+5.82
4	Hobro	58	53.63	+4.37
5	Fredericia	43	39.53	+3.47

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Fremad Amager	41	52.02	-11.02
2	Vejle BK	41	49.61	-8.61
3	AB Gladsaxe	24	29.90	-5.90
4	Naestved	35	40.15	-5.15
5	HB Koge	47	48.14	-1.14

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	Skive	5	Dec 1 – Mar 26	1 in 247
2	Vendsyssel	5	Sep 11 – Oct 2	1 in 78
3	Hobro	5	Nov 24 – Mar 26	1 in 76
4	Helsingor	4	Apr 2 – Apr 23	1 in 69
5	AB Gladsaxe	2	Oct 16 – Oct 23	1 in 32

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Fremad Amager	5	Mar 26 – Apr 23	1 in 251
2	AB Gladsaxe	8	Oct 30 – Mar 19	1 in 156
3	Helsingor	3	May 7 – May 14	1 in 99
4	Nykobing	4	Oct 16 – Nov 2	1 in 91
5	Naestved	4	Sep 11 – Oct 2	1 in 62

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	HB Koge	9	Aug 21 – Oct 16	1 in 26
2	Helsingor	8	Mar 12 – Apr 30	1 in 23
3	Fredericia	4	Oct 16 – Nov 6	1 in 15
4	FC Roskilde	6	Nov 6 – Mar 12	1 in 15
5	AB Gladsaxe	3	May 7 – May 14	1 in 14

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Nykobing	9	Sep 11 – Nov 2	1 in 64
2	Helsingor	7	Sep 15 – Oct 23	1 in 37
3	Fremad Amager	7	Mar 19 – Apr 30	1 in 34
4	AB Gladsaxe	10	Jul 24 – Sep 25	1 in 20
5	Naestved	7	Sep 1 – Oct 16	1 in 14

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
Hobro	1566	58	+1	8	8.5	-0.5
Vendsyssel	1538	55	+34	10	7.0	+3.0
Helsingor	1539	53	-28	6	8.5	-2.5
FC Roskilde	1467	50	-11	5	7.3	-2.3
Skive	1416	49	-51	1	6.6	-5.6
HB Koge	1491	47	+6	7	7.2	-0.2
Nykobing	1468	46	+51	13	6.8	+6.2
Fredericia	1427	43	+8	7	5.2	+1.8
Fremad Amager	1440	41	-26	7	7.5	-0.5
Vejle BK	1477	41	-18	5	7.5	-2.5
Naestved	1432	35	+23	7	5.5	+1.5
AB Gladsaxe	1309	24	+12	6	4.2	+1.8

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	FR	FRE	FA	HK	HEL	HOB	NAE	NYK	SKI	VB	VEN
AB Gladsaxe	—	1-0-2 2.95	1-0-2 2.98	1-0-2 2.19	1-1-1 2.10	1-0-2 2.36	0-0-3 2.31	0-1-2 3.37	1-1-1 2.88	0-1-2 3.25	0-2-1 2.13	0-0-3 2.46
FC Roskilde	2-0-1 5.26	—	2-0-1 4.60	2-1-0 3.67	0-2-1 3.73	0-1-2 3.19	2-0-1 3.52	2-0-1 4.72	1-1-1 3.96	2-0-1 4.22	1-1-1 3.69	0-2-1 3.63
Fredericia	2-0-1 5.21	1-0-2 3.57	—	0-2-1 2.99	1-2-0 3.47	0-1-2 3.15	1-2-0 2.93	2-0-1 4.12	0-1-2 4.05	1-0-2 3.73	2-1-0 3.21	1-1-1 3.13
Fremad Amager	2-0-1 6.08	0-1-2 4.51	1-2-0 5.22	—	1-2-0 4.05	0-1-2 4.18	2-0-1 4.02	1-1-1 5.05	1-1-1 4.48	2-0-1 5.32	0-1-2 4.19	0-2-1 4.72
HB Koge	1-1-1 6.18	1-2-0 4.42	0-2-1 4.69	0-2-1 4.10	—	0-2-1 4.25	1-2-0 3.34	1-2-0 4.83	2-0-1 4.67	1-1-1 4.89	2-0-1 3.91	2-0-1 3.63
Helsingor	2-0-1 5.88	2-1-0 4.99	2-1-0 5.03	2-1-0 3.97	1-2-0 3.91	—	1-1-1 3.58	1-0-2 5.27	1-1-1 4.65	0-2-1 5.42	1-2-0 3.74	1-0-2 4.08
Hobro	3-0-0 5.97	1-0-2 4.66	0-2-1 5.27	1-0-2 4.14	0-2-1 4.84	1-1-1 4.58	—	1-1-1 4.90	2-0-1 5.44	3-0-0 4.76	2-1-0 4.64	3-0-0 4.46
Naestved	2-1-0 4.81	1-0-2 3.45	1-0-2 4.03	1-1-1 3.12	0-2-1 3.34	2-0-1 2.92	1-1-1 3.29	—	1-1-1 4.12	0-0-3 4.04	0-1-2 3.50	0-1-2 3.90
Nykobing	1-1-1 5.32	1-1-1 4.20	2-1-0 4.10	1-1-1 3.69	1-0-2 3.50	1-1-1 3.51	1-0-2 2.76	1-1-1 4.04	—	2-0-1 4.32	1-1-1 3.25	1-0-2 3.92
Skive	2-1-0 4.94	1-0-2 3.93	2-0-1 4.42	1-0-2 2.89	1-1-1 3.29	1-2-0 2.78	0-0-3 3.41	3-0-0 4.12	1-0-2 3.84	—	2-0-1 3.24	1-0-2 2.94
Vejle BK	1-2-0 6.15	1-1-1 4.47	0-1-2 4.97	2-1-0 3.96	1-0-2 4.25	0-2-1 4.41	0-1-2 3.53	2-1-0 4.68	1-1-1 4.92	1-0-2 4.94	—	1-1-1 3.78
Vendsyssel	3-0-0 5.77	1-2-0 4.53	1-1-1 5.05	1-2-0 3.45	1-0-2 4.54	2-0-1 4.08	0-0-3 3.70	2-1-0 4.27	2-0-1 4.24	2-0-1 5.25	1-1-1 4.38	—

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	0.28	+7.3
Allowed	0.54	-7.1
Differential	0.75	+6.6

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	10.61%	7.58%	5.56%	3.03%	2.02%	0.76%	29.55%
1	7.58%	9.09%	8.84%	4.04%	1.52%	0.51%	31.57%
2	5.56%	8.84%	5.56%	2.78%	—	—	22.73%
3	3.03%	4.04%	2.78%	1.01%	0.25%	—	11.11%
4	2.02%	1.52%	—	0.25%	—	—	3.79%
5+	0.76%	0.51%	—	—	—	—	1.26%
Total	29.55%	31.57%	22.73%	11.11%	3.79%	1.26%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.32	1.32	+0.00
SD	1.19	1.19	1.78
CV	0.90	0.90	—
Max	5	5	+5
Min	0	0	-5

Games Played: 198

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	15.15%	9.09%	6.06%	3.03%	—	39.39%
1	—	3.03%	18.18%	6.06%	3.03%	—	30.30%
2	—	9.09%	6.06%	3.03%	—	—	18.18%
3	—	6.06%	3.03%	3.03%	—	—	12.12%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	6.06%	33.33%	36.36%	18.18%	6.06%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.03	1.85	-0.82
SD	1.05	1.00	1.42
CV	1.01	0.54	—
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%	12.12%	—	—	3.03%	30.30%
1	3.03%	9.09%	6.06%	—	3.03%	—	21.21%
2	6.06%	21.21%	6.06%	3.03%	—	—	36.36%
3	—	9.09%	—	—	—	—	9.09%
4	3.03%	—	—	—	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	21.21%	45.45%	24.24%	3.03%	3.03%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.33	1.30	+0.03
SD	1.11	1.13	1.76
CV	0.83	0.87	—
Max	4	5	+4
Min	0	0	-5

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	18.18%	—	18.18%	—	3.03%	—	39.39%
1	3.03%	6.06%	12.12%	3.03%	—	—	24.24%
2	6.06%	12.12%	6.06%	—	—	—	24.24%
3	—	6.06%	6.06%	—	—	—	12.12%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	27.27%	24.24%	42.42%	3.03%	3.03%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.09	1.30	-0.21
SD	1.07	1.02	1.47
CV	0.98	0.78	—
Max	3	4	+2
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	12.12%	3.03%	6.06%	3.03%	6.06%	—	30.30%
1	9.09%	15.15%	6.06%	6.06%	3.03%	—	39.39%
2	3.03%	6.06%	6.06%	3.03%	—	—	18.18%
3	3.03%	—	—	—	—	—	3.03%
4	—	3.03%	—	—	—	—	3.03%
5+	6.06%	—	—	—	—	—	6.06%
Total	33.33%	27.27%	18.18%	12.12%	9.09%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.27	1.36	-0.09
SD	1.35	1.32	2.14
CV	1.06	0.97	—
Max	5	4	+5
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	21.21%	3.03%	6.06%	3.03%	—	—	33.33%
1	18.18%	15.15%	9.09%	—	—	—	42.42%
2	3.03%	3.03%	6.06%	3.03%	—	—	15.15%
3	9.09%	—	—	—	—	—	9.09%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	51.52%	21.21%	21.21%	6.06%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.00	0.82	+0.18
SD	0.94	0.98	1.36
CV	0.94	1.20	—
Max	3	3	+3
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	12.12%	9.09%	3.03%	—	—	—	24.24%
1	12.12%	9.09%	6.06%	3.03%	—	3.03%	33.33%
2	12.12%	9.09%	12.12%	—	—	—	33.33%
3	6.06%	—	—	—	—	—	6.06%
4	3.03%	—	—	—	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	45.45%	27.27%	21.21%	3.03%	—	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.30	0.94	+0.36
SD	1.02	1.14	1.60
CV	0.78	1.22	—
Max	4	5	+4
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	12.12%	6.06%	—	6.06%	—	3.03%	27.27%
1	12.12%	9.09%	6.06%	3.03%	3.03%	—	33.33%
2	6.06%	6.06%	—	—	—	—	12.12%
3	3.03%	3.03%	—	—	—	—	6.06%
4	9.09%	9.09%	—	—	—	—	18.18%
5+	—	3.03%	—	—	—	—	3.03%
Total	42.42%	36.36%	6.06%	9.09%	3.03%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.64	1.03	+0.61
SD	1.56	1.29	2.28
CV	0.95	1.25	—
Max	5	5	+4
Min	0	0	-5

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	9.09%	—	6.06%	—	—	21.21%
1	3.03%	9.09%	18.18%	9.09%	3.03%	—	42.42%
2	9.09%	6.06%	3.03%	3.03%	—	—	21.21%
3	6.06%	—	—	6.06%	—	—	12.12%
4	—	—	—	—	—	—	—
5+	—	3.03%	—	—	—	—	3.03%
Total	24.24%	27.27%	21.21%	24.24%	3.03%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.36	1.55	-0.18
SD	1.14	1.20	1.74
CV	0.84	0.78	—
Max	5	4	+4
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	6.06%	3.03%	6.06%	—	—	18.18%
1	9.09%	9.09%	12.12%	6.06%	—	—	36.36%
2	6.06%	6.06%	9.09%	6.06%	—	—	27.27%
3	—	3.03%	9.09%	—	—	—	12.12%
4	3.03%	—	—	3.03%	—	—	6.06%
5+	—	—	—	—	—	—	—
Total	21.21%	24.24%	33.33%	21.21%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.52	1.55	-0.03
SD	1.12	1.06	1.53
CV	0.74	0.69	—
Max	4	3	+4
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	9.09%	3.03%	6.06%	6.06%	3.03%	33.33%
1	9.09%	6.06%	6.06%	3.03%	3.03%	—	27.27%
2	9.09%	12.12%	—	3.03%	—	—	24.24%
3	—	6.06%	6.06%	—	—	—	12.12%
4	—	3.03%	—	—	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	24.24%	36.36%	15.15%	12.12%	9.09%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.24	1.55	-0.30
SD	1.15	1.39	2.04
CV	0.92	0.90	—
Max	4	5	+3
Min	0	0	-5

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	12.12%	12.12%	6.06%	—	—	—	30.30%
1	3.03%	9.09%	3.03%	3.03%	—	3.03%	21.21%
2	3.03%	6.06%	9.09%	6.06%	—	—	24.24%
3	6.06%	3.03%	3.03%	3.03%	3.03%	—	18.18%
4	3.03%	3.03%	—	—	—	—	6.06%
5+	—	—	—	—	—	—	—
Total	27.27%	33.33%	21.21%	12.12%	3.03%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.48	1.39	+0.09
SD	1.28	1.27	1.68
CV	0.86	0.91	—
Max	4	5	+4
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	12.12%	—	—	6.06%	—	27.27%
1	9.09%	9.09%	3.03%	6.06%	—	—	27.27%
2	3.03%	9.09%	3.03%	3.03%	—	—	18.18%
3	3.03%	12.12%	6.06%	—	—	—	21.21%
4	3.03%	—	—	—	—	—	3.03%
5+	3.03%	—	—	—	—	—	3.03%
Total	30.30%	42.42%	12.12%	9.09%	6.06%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.55	1.18	+0.36
SD	1.35	1.16	1.93
CV	0.87	0.98	—
Max	5	4	+5
Min	0	0	-4

Games Played: 33

Season Summary

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

Team	Elo	Points	Avg	Luck	Percentile	Min	5th	Q1	Median	Q3	95th	Max
Hobro	1566	58	53.63	+4.37	80.0%	39	41	49	54	57	66	73
Helsingor	1540	53	50.94	+2.06	66.0%	36	39	45	50	55	65	73
Vendsyssel	1522	55	48.95	+6.05	86.0%	31	37	45	49	54	60	64
HB Koge	1491	47	48.14	-1.14	50.0%	29	35	43	47	52	63	69
Vejle BK	1477	41	49.61	-8.61	13.0%	33	38	44	49	54	61	69
Nykobing	1468	46	43.17	+2.83	67.0%	27	32	39	43	48	55	60
FC Roskilde	1467	50	44.18	+5.82	82.0%	28	31	40	44	48	56	59
Fremad Amager	1440	41	52.02	-11.02	7.0%	31	39	47	53	56	64	73
Naestved	1432	35	40.15	-5.15	24.0%	23	29	36	40	44	51	64
Fredericia	1427	43	39.53	+3.47	69.0%	23	30	34	39	45	50	55
Skive	1416	49	39.61	+9.39	94.0%	26	30	35	40	43	50	56
AB Gladsaxe	1309	24	29.90	-5.90	21.0%	15	19	25	29	35	39	45

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

+16.16%

Slight Edge

44.95%26.26%28.79%

Elo Value

Home Edge: 56.65 Elo pts.

288 Elo

0.003 goals per Elo point

0800

Scoring Tilt

Expected

+0.37 goals

Neutral

-2+0.20+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

6.3

Wide Open

123410

Champion Preseason Odds

27%

Hobro, 1st of 12

LongshotFavorite

Title Margin

Expected

0.09/gm

Tight Race

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 5.68 * Some Luck: 5.68 to 8.52 * Lucky: 8.52 to 11.35 * Wild Swing: 11.35 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 1.73 * Close: 1.73 to 2.59 * Off: 2.59 to 3.45 * Way Off: 3.45 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 0.88 * A Surprise: 0.88 to 1.41 * Several Surprises: 1.41 to 1.94 * Many Surprises: 1.94 and up.

Luck Spread

Expected

6.19 points

Some Luck

07.1018

Average Finish Error

Expected

2.50

02.165

Biggest Overachiever

Expected 95.83%

94.00%

Skive

50100

Biggest Underachiever

Expected 4.17%

7.00%

Fremad Amager

050

Season Outliers

Expected

0 of 12

Minimal Outliers

01.26

Unexpected Relegations

Expected

1 of 2

A Surprise

00.92

Parity

How these are measured

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

Gini Index: How evenly points were spread across the league. Lower means a tight, balanced table; higher means a few teams ran off with most of the points.
Balanced: under 0.13 * 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

0.11

Balanced

00.130.20.5

Noll-Scully

Elo SD: 68.59

1.24

Coin-Flip Parity

0.751.51.82.153

Interquartile Edge

60%

Even

50%63.5%74.5%100%

Best vs. Worst

Baseline

81%

Even

50%80%100%

Close Games

Expected

65%

Very Frequent

0%60%100%

Blowouts

Expected

16%

Occasional

0%16%100%

Predictability

How these are measured

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

Brier Score: How close the pregame probabilities landed to the actual result, averaged over the season. Confident, correct calls are rewarded most; confident misses are punished most. Lower is better; since draws are possible, a score under 0.66 beats guessing the base rate.
Highly Predictable: under 0.56 * Predictable: 0.56 to 0.62 * Hard to Predict: 0.62 to 0.66 * Coin-Flip: 0.66 and up.
Matchup Imbalance: How lopsided the matchups were on paper, averaging the gap between the two win probabilities over their sum. 0 means every match was a toss-up; 1 means every match was a heavy favorite against a big underdog.
Very Even: under 0.34 * 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

0.65

Hard to Predict

00.632

Matchup Imbalance

0.25

Very Even

00.340.420.5

Strangeness

Expected

0.83

As Expected

01.002

Repeatability

0.44

Some Carryover

00.380.570.71

Upset Rate

Expected

31%

Very Upset-Prone

0%27%50%

Clear Favorite Upset Rate

Expected

26%

Very Shaky

0%22%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

0.32

Well Calibrated

0.010.050.10.51

Calibration slope

Ideal

0.39

Overconfident

0.2021281.001.79787

Calibration error (ECE)

Noise ceiling

0.072

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
Hobro	27.00%	24.00%	15.00%	9.00%	9.00%	5.00%	3.00%	6.00%	1.00%	1.00%	—	—
Vendsyssel	9.00%	11.00%	16.00%	15.00%	10.00%	11.00%	7.00%	7.00%	9.00%	3.00%	2.00%	—
Helsingor	14.00%	16.00%	14.00%	17.00%	5.00%	8.00%	5.00%	7.00%	7.00%	5.00%	2.00%	—
FC Roskilde	6.00%	4.00%	4.00%	5.00%	9.00%	16.00%	14.00%	12.00%	13.00%	9.00%	6.00%	2.00%
Skive	1.00%	—	1.00%	4.00%	4.00%	6.00%	13.00%	14.00%	9.00%	20.00%	17.00%	11.00%
HB Koge	15.00%	5.00%	4.00%	14.00%	16.00%	11.00%	6.00%	13.00%	6.00%	4.00%	4.00%	2.00%
Nykobing	2.00%	2.00%	10.00%	5.00%	6.00%	12.00%	18.00%	11.00%	9.00%	12.00%	7.00%	6.00%
Fredericia	—	2.00%	2.00%	5.00%	8.00%	5.00%	11.00%	9.00%	7.00%	20.00%	21.00%	10.00%
Vejle BK	10.00%	12.00%	15.00%	13.00%	16.00%	9.00%	4.00%	11.00%	4.00%	2.00%	3.00%	1.00%
Fremad Amager	15.00%	21.00%	18.00%	8.00%	11.00%	12.00%	7.00%	2.00%	4.00%	—	2.00%	—
Naestved	1.00%	3.00%	1.00%	4.00%	6.00%	5.00%	10.00%	7.00%	24.00%	16.00%	15.00%	8.00%
AB Gladsaxe	—	—	—	1.00%	—	—	2.00%	1.00%	7.00%	8.00%	21.00%	60.00%

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	Qualified for promotion playoff	Same level	Direct relegation
Hobro	27.00%	39.00%	34.00%	—
Fremad Amager	15.00%	39.00%	44.00%	2.00%
Helsingor	14.00%	30.00%	54.00%	2.00%
HB Koge	15.00%	9.00%	70.00%	6.00%
Vendsyssel	9.00%	27.00%	62.00%	2.00%
Vejle BK	10.00%	27.00%	59.00%	4.00%
FC Roskilde	6.00%	8.00%	78.00%	8.00%
Nykobing	2.00%	12.00%	73.00%	13.00%
Naestved	1.00%	4.00%	72.00%	23.00%
Skive	1.00%	1.00%	70.00%	28.00%
Fredericia	—	4.00%	65.00%	31.00%
AB Gladsaxe	—	—	19.00%	81.00%

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
2016-07-21	Hobro	W 3-1	51.3	1456	1487	38.25%	28.28%	33.47%	+0.09	+14.4	3
2016-07-21	@ FC Roskilde	L 1-3	51.3	1487	1456	33.47%	28.28%	38.25%	-0.09	-14.4	0
2016-07-24	AB Gladsaxe	W 1-0	42.2	1474	1400	52.01%	26.65%	21.33%	+0.46	+6.2	3
2016-07-24	@ Helsingor	L 0-1	42.2	1400	1474	21.33%	26.65%	52.01%	-0.46	-6.2	0
2016-07-24	Fredericia	W 2-1	52.5	1427	1456	38.54%	28.27%	33.19%	+0.10	+8.3	3
2016-07-24	@ Skive	L 1-2	52.5	1456	1427	33.19%	28.27%	38.54%	-0.10	-8.3	0
2016-07-24	Fremad Amager	D 1-1	62.7	1482	1533	35.25%	28.31%	36.44%	+0.02	+0.0	1
2016-07-24	@ Vejle BK	D 1-1	62.7	1533	1482	36.44%	28.31%	35.25%	-0.02	-0.1	1
2016-07-24	HB Koge	L 0-1	52.4	1487	1471	44.58%	27.86%	27.56%	+0.25	-10.9	0
2016-07-24	@ Vendsyssel	W 1-0	52.4	1471	1487	27.56%	27.86%	44.58%	-0.25	+10.9	3
2016-07-24	Nykobing	L 0-1	49.7	1448	1450	42.27%	28.07%	29.66%	+0.19	-10.5	0
2016-07-24	@ Naestved	W 1-0	49.7	1450	1448	29.66%	28.07%	42.27%	-0.19	+10.5	3
2016-07-28	FC Roskilde	D 0-0	55.6	1482	1471	44.02%	27.92%	28.06%	+0.24	-0.9	2
2016-07-28	@ Vejle BK	D 0-0	55.6	1471	1482	28.06%	27.92%	44.02%	-0.24	+0.9	4
2016-07-31	Fredericia	D 0-0	57.1	1533	1447	53.36%	26.34%	20.30%	+0.50	-2.0	2
2016-07-31	@ Fremad Amager	D 0-0	57.1	1447	1533	20.30%	26.34%	53.36%	-0.50	+2.0	1
2016-07-31	Helsingor	D 1-1	60.4	1472	1480	41.37%	28.14%	30.49%	+0.17	-0.5	1
2016-07-31	@ Hobro	D 1-1	60.4	1480	1472	30.49%	28.14%	41.37%	-0.17	+0.5	4
2016-07-31	Naestved	D 3-3	66.4	1394	1438	36.31%	28.31%	35.37%	+0.04	-0.0	1
2016-07-31	@ AB Gladsaxe	D 3-3	66.4	1438	1394	35.37%	28.31%	36.31%	-0.04	+0.0	1
2016-07-31	Skive	D 0-0	54.6	1482	1435	48.62%	27.31%	24.07%	+0.36	-1.4	4
2016-07-31	@ HB Koge	D 0-0	54.6	1435	1482	24.07%	27.31%	48.62%	-0.36	+1.4	4
2016-07-31	Vendsyssel	W 3-2	58.9	1460	1476	40.33%	28.20%	31.48%	+0.14	+7.5	6
2016-07-31	@ Nykobing	L 2-3	58.9	1476	1460	31.48%	28.20%	40.33%	-0.14	-7.5	0
2016-08-04	Vejle BK	L 1-3	53.7	1468	1481	40.75%	28.17%	31.07%	+0.15	-16.7	0
2016-08-04	@ Vendsyssel	W 3-1	53.7	1481	1468	31.07%	28.17%	40.75%	-0.15	+16.6	5
2016-08-07	AB Gladsaxe	W 2-1	48.0	1449	1394	49.74%	27.11%	23.15%	+0.39	+6.2	4
2016-08-07	@ Fredericia	L 1-2	48.0	1394	1449	23.15%	27.11%	49.74%	-0.39	-6.2	1
2016-08-07	FC Roskilde	W 2-0	44.2	1437	1472	37.66%	28.30%	34.04%	+0.08	+16.9	7
2016-08-07	@ Skive	L 0-2	44.2	1472	1437	34.04%	28.30%	37.66%	-0.08	-16.8	4
2016-08-07	Fremad Amager	W 2-0	48.7	1481	1531	35.41%	28.31%	36.28%	+0.02	+17.6	7
2016-08-07	@ Helsingor	L 0-2	48.7	1531	1481	36.28%	28.31%	35.41%	-0.02	-17.6	2
2016-08-07	Hobro	W 3-0	42.4	1438	1472	37.74%	28.29%	33.96%	+0.08	+24.4	4
2016-08-07	@ Naestved	L 0-3	42.4	1472	1438	33.96%	28.29%	37.74%	-0.08	-24.4	1
2016-08-07	Nykobing	W 3-0	41.9	1481	1468	44.24%	27.89%	27.86%	+0.24	+21.0	7
2016-08-07	@ HB Koge	L 0-3	41.9	1468	1481	27.86%	27.89%	44.24%	-0.24	-21.0	6
2016-08-11	Helsingor	D 2-2	68.1	1498	1499	42.37%	28.06%	29.57%	+0.19	-0.5	6
2016-08-11	@ Vejle BK	D 2-2	68.1	1499	1498	29.57%	28.06%	42.37%	-0.19	+0.5	8
2016-08-14	AB Gladsaxe	W 4-1	41.7	1447	1387	50.25%	27.02%	22.73%	+0.41	+15.0	4
2016-08-14	@ Hobro	L 1-4	41.7	1387	1447	22.73%	27.02%	50.25%	-0.41	-15.0	1
2016-08-14	HB Koge	W 2-1	55.8	1456	1502	36.00%	28.31%	35.69%	+0.04	+8.7	7
2016-08-14	@ Fredericia	L 1-2	55.8	1502	1456	35.69%	28.31%	36.00%	-0.04	-8.7	7
2016-08-14	Naestved	L 0-2	46.7	1455	1462	41.47%	28.13%	30.40%	+0.17	-19.5	4
2016-08-14	@ FC Roskilde	W 2-0	46.7	1462	1455	30.40%	28.13%	41.47%	-0.17	+19.5	7
2016-08-14	Skive	W 4-0	40.9	1447	1454	41.54%	28.12%	30.33%	+0.17	+29.3	9
2016-08-14	@ Nykobing	L 0-4	40.9	1454	1447	30.33%	28.12%	41.54%	-0.17	-29.3	7
2016-08-14	Vendsyssel	D 1-1	61.2	1514	1452	50.50%	26.97%	22.54%	+0.41	-1.5	3
2016-08-14	@ Fremad Amager	D 1-1	61.2	1452	1514	22.54%	26.97%	50.50%	-0.41	+1.5	1
2016-08-18	Hobro	L 1-4	47.9	1424	1462	37.19%	28.30%	34.51%	+0.06	-22.0	7
2016-08-18	@ Skive	W 4-1	47.9	1462	1424	34.51%	28.30%	37.19%	-0.06	+22.0	7
2016-08-21	FC Roskilde	W 2-0	41.2	1499	1435	50.73%	26.92%	22.35%	+0.42	+12.1	11
2016-08-21	@ Helsingor	L 0-2	41.2	1435	1499	22.35%	26.92%	50.73%	-0.42	-12.1	4
2016-08-21	Fredericia	W 2-0	43.6	1453	1464	40.97%	28.16%	30.87%	+0.16	+15.7	4
2016-08-21	@ Vendsyssel	L 0-2	43.6	1464	1453	30.87%	28.16%	40.97%	-0.16	-15.7	7
2016-08-21	Fremad Amager	D 1-1	62.3	1493	1512	39.85%	28.22%	31.93%	+0.13	-0.4	8
2016-08-21	@ HB Koge	D 1-1	62.3	1512	1493	31.93%	28.22%	39.85%	-0.13	+0.4	4
2016-08-21	Nykobing	L 1-2	49.9	1372	1476	28.34%	27.95%	43.71%	-0.16	-7.3	1
2016-08-21	@ AB Gladsaxe	W 2-1	49.9	1476	1372	43.71%	27.95%	28.34%	+0.16	+7.3	12
2016-08-21	Vejle BK	L 0-3	46.8	1482	1497	40.33%	28.20%	31.47%	+0.14	-27.7	7
2016-08-21	@ Naestved	W 3-0	46.8	1497	1482	31.47%	28.20%	40.33%	-0.14	+27.7	9
2016-08-25	AB Gladsaxe	D 0-0	54.7	1525	1365	61.40%	23.85%	14.75%	+0.75	-2.9	10
2016-08-25	@ Vejle BK	D 0-0	54.7	1365	1525	14.75%	23.85%	61.40%	-0.75	+2.9	2
2016-08-28	Naestved	L 1-2	60.0	1511	1454	49.92%	27.08%	23.00%	+0.40	-11.3	11
2016-08-28	@ Helsingor	W 2-1	60.0	1454	1511	23.00%	27.08%	49.92%	-0.40	+11.3	10
2016-08-28	Nykobing	L 1-2	55.5	1449	1483	37.64%	28.30%	34.07%	+0.08	-9.1	7
2016-08-28	@ Fredericia	W 2-1	55.5	1483	1449	34.07%	28.30%	37.64%	-0.08	+9.1	15
2016-08-28	Skive	W 5-0	37.7	1513	1402	56.13%	25.61%	18.26%	+0.58	+23.5	7
2016-08-28	@ Fremad Amager	L 0-5	37.7	1402	1513	18.26%	25.61%	56.13%	-0.58	-23.5	7
2016-08-29	HB Koge	D 1-1	59.1	1423	1493	32.73%	28.26%	39.02%	-0.05	+0.3	5
2016-08-29	@ FC Roskilde	D 1-1	59.1	1493	1423	39.02%	28.26%	32.73%	+0.05	-0.3	9
2016-08-29	Vendsyssel	W 4-0	41.8	1484	1469	44.56%	27.86%	27.58%	+0.25	+27.2	10
2016-08-29	@ Hobro	L 0-4	41.8	1469	1484	27.58%	27.86%	44.56%	-0.25	-27.2	4
2016-09-01	Naestved	D 2-2	66.8	1492	1465	46.12%	27.68%	26.21%	+0.29	-0.8	10
2016-09-01	@ HB Koge	D 2-2	66.8	1465	1492	26.21%	27.68%	46.12%	-0.29	+0.8	11
2016-09-04	FC Roskilde	L 0-2	41.2	1368	1423	34.68%	28.31%	37.02%	+0.00	-17.1	2
2016-09-04	@ AB Gladsaxe	W 2-0	41.2	1423	1368	37.02%	28.31%	34.68%	+0.00	+17.1	8
2016-09-04	Hobro	D 0-0	55.5	1440	1512	32.41%	28.24%	39.35%	-0.05	+0.4	8
2016-09-04	@ Fredericia	D 0-0	55.5	1512	1440	39.35%	28.24%	32.41%	+0.05	-0.4	11
2016-09-11	Fredericia	W 4-0	39.6	1500	1440	50.25%	27.02%	22.74%	+0.40	+23.2	14
2016-09-11	@ Helsingor	L 0-4	39.6	1440	1500	22.74%	27.02%	50.25%	-0.40	-23.2	8
2016-09-11	Fremad Amager	W 1-0	52.6	1440	1536	29.33%	28.04%	42.62%	-0.14	+10.5	11
2016-09-11	@ FC Roskilde	L 0-1	52.6	1536	1440	42.62%	28.04%	29.33%	+0.14	-10.6	7
2016-09-11	HB Koge	L 0-2	51.6	1522	1492	46.53%	27.62%	25.85%	+0.30	-21.3	10
2016-09-11	@ Vejle BK	W 2-0	51.6	1492	1522	25.85%	27.62%	46.53%	-0.30	+21.3	13
2016-09-11	Nykobing	W 1-0	48.9	1511	1492	44.99%	27.81%	27.19%	+0.26	+7.5	14
2016-09-11	@ Hobro	L 0-1	48.9	1492	1511	27.19%	27.81%	44.99%	-0.26	-7.5	15
2016-09-11	Skive	L 1-3	47.3	1351	1379	38.59%	28.27%	33.14%	+0.10	-16.0	2
2016-09-11	@ AB Gladsaxe	W 3-1	47.3	1379	1351	33.14%	28.27%	38.59%	-0.10	+16.0	10
2016-09-11	Vendsyssel	L 1-3	53.6	1466	1442	45.73%	27.73%	26.54%	+0.28	-18.2	11
2016-09-11	@ Naestved	W 3-1	53.6	1442	1466	26.54%	27.73%	45.73%	-0.28	+18.2	7
2016-09-15	Helsingor	D 1-1	62.4	1485	1523	37.16%	28.30%	34.53%	+0.06	-0.1	16
2016-09-15	@ Nykobing	D 1-1	62.4	1523	1485	34.53%	28.30%	37.16%	-0.06	+0.1	15
2016-09-18	AB Gladsaxe	W 1-0	38.1	1513	1335	63.22%	23.13%	13.65%	+0.82	+4.0	16
2016-09-18	@ HB Koge	L 0-1	38.1	1335	1513	13.65%	23.13%	63.22%	-0.82	-4.0	2
2016-09-18	FC Roskilde	W 5-0	41.3	1460	1451	43.68%	27.95%	28.37%	+0.23	+34.3	10
2016-09-18	@ Vendsyssel	L 0-5	41.3	1451	1460	28.37%	27.95%	43.68%	-0.23	-34.3	11
2016-09-18	Hobro	W 4-1	50.9	1526	1519	43.42%	27.97%	28.60%	+0.22	+18.1	10
2016-09-18	@ Fremad Amager	L 1-4	50.9	1519	1526	28.60%	27.97%	43.42%	-0.22	-18.1	14
2016-09-18	Naestved	W 2-1	52.4	1395	1448	35.05%	28.31%	36.64%	+0.01	+8.9	13
2016-09-18	@ Skive	L 1-2	52.4	1448	1395	36.64%	28.31%	35.05%	-0.01	-8.9	11
2016-09-18	Vejle BK	W 3-2	61.1	1417	1501	30.81%	28.16%	41.03%	-0.10	+9.2	11
2016-09-18	@ Fredericia	L 2-3	61.1	1501	1417	41.03%	28.16%	30.81%	+0.10	-9.2	10
2016-09-21	Helsingor	W 1-0	51.4	1494	1523	38.46%	28.27%	33.27%	+0.10	+8.8	13
2016-09-21	@ Vendsyssel	L 0-1	51.4	1523	1494	33.27%	28.27%	38.46%	-0.10	-8.8	15
2016-09-23	Nykobing	W 2-0	44.9	1492	1485	43.40%	27.98%	28.62%	+0.22	+14.8	13
2016-09-23	@ Vejle BK	L 0-2	44.9	1485	1492	28.62%	27.98%	43.40%	-0.22	-14.8	16
2016-09-25	Fredericia	W 2-0	41.2	1417	1426	41.23%	28.14%	30.62%	+0.17	+15.6	14
2016-09-25	@ FC Roskilde	L 0-2	41.2	1426	1417	30.62%	28.14%	41.23%	-0.17	-15.6	11
2016-09-25	Fremad Amager	L 0-1	48.4	1439	1544	28.21%	27.93%	43.86%	-0.17	-7.8	11
2016-09-25	@ Naestved	W 1-0	48.4	1544	1439	43.86%	27.93%	28.21%	+0.17	+7.8	13
2016-09-25	HB Koge	D 0-0	57.9	1501	1517	40.23%	28.20%	31.56%	+0.14	-0.5	15
2016-09-25	@ Hobro	D 0-0	57.9	1517	1501	31.56%	28.20%	40.23%	-0.14	+0.5	17
2016-09-25	Skive	D 1-1	59.9	1514	1404	56.18%	25.60%	18.23%	+0.58	-2.0	16
2016-09-25	@ Helsingor	D 1-1	59.9	1404	1514	18.23%	25.60%	56.18%	-0.58	+2.0	14
2016-09-25	Vendsyssel	L 1-3	43.7	1331	1503	21.06%	26.58%	52.36%	-0.40	-9.9	2
2016-09-25	@ AB Gladsaxe	W 3-1	43.7	1503	1331	52.36%	26.58%	21.06%	+0.40	+9.9	16
2016-09-28	Fremad Amager	D 1-1	62.9	1470	1551	31.16%	28.18%	40.66%	-0.09	+0.5	17
2016-09-28	@ Nykobing	D 1-1	62.9	1551	1470	40.66%	28.18%	31.16%	+0.09	-0.5	14
2016-09-28	Vejle BK	W 1-0	50.5	1406	1506	28.73%	27.99%	43.29%	-0.15	+10.7	17
2016-09-28	@ Skive	L 0-1	50.5	1506	1406	43.29%	27.99%	28.73%	+0.15	-10.7	13
2016-09-29	Helsingor	D 0-0	58.5	1517	1512	43.17%	28.00%	28.83%	+0.21	-0.8	18
2016-09-29	@ HB Koge	D 0-0	58.5	1512	1517	28.83%	28.00%	43.17%	-0.21	+0.8	17
2016-10-02	AB Gladsaxe	L 1-3	57.2	1551	1321	68.07%	20.96%	10.97%	+1.00	-25.2	14
2016-10-02	@ Fremad Amager	W 3-1	57.2	1321	1551	10.97%	20.96%	68.07%	-1.00	+25.2	5
2016-10-02	FC Roskilde	D 1-1	58.9	1471	1432	47.53%	27.48%	24.99%	+0.33	-1.2	18
2016-10-02	@ Nykobing	D 1-1	58.9	1432	1471	24.99%	27.48%	47.53%	-0.33	+1.2	15
2016-10-02	Naestved	W 3-1	47.7	1410	1431	39.61%	28.23%	32.15%	+0.12	+14.0	14
2016-10-02	@ Fredericia	L 1-3	47.7	1431	1410	32.15%	28.23%	39.61%	-0.12	-14.0	11
2016-10-02	Skive	W 1-0	43.3	1513	1416	54.57%	26.04%	19.39%	+0.53	+5.6	19
2016-10-02	@ Vendsyssel	L 0-1	43.3	1416	1513	19.39%	26.04%	54.57%	-0.53	-5.6	17
2016-10-02	Vejle BK	W 1-0	49.2	1500	1496	43.09%	28.00%	28.90%	+0.21	+7.9	18
2016-10-02	@ Hobro	L 0-1	49.2	1496	1500	28.90%	28.00%	43.09%	-0.21	-7.9	13
2016-10-09	Fredericia	W 2-0	41.2	1411	1424	40.64%	28.18%	31.18%	+0.15	+15.8	20
2016-10-09	@ Skive	L 0-2	41.2	1424	1411	31.18%	28.18%	40.64%	-0.15	-15.8	14
2016-10-09	Helsingor	D 2-2	66.2	1433	1513	31.37%	28.19%	40.43%	-0.08	+0.3	16
2016-10-09	@ FC Roskilde	D 2-2	66.2	1513	1433	40.43%	28.19%	31.37%	+0.08	-0.3	18
2016-10-09	Hobro	L 0-3	36.7	1346	1508	22.02%	26.84%	51.14%	-0.37	-17.3	5
2016-10-09	@ AB Gladsaxe	W 3-0	36.7	1508	1346	51.14%	26.84%	22.02%	+0.37	+17.3	21
2016-10-10	HB Koge	D 1-1	59.8	1417	1517	28.85%	28.00%	43.15%	-0.15	+0.7	12
2016-10-10	@ Naestved	D 1-1	59.8	1517	1417	43.15%	28.00%	28.85%	+0.15	-0.7	19
2016-10-13	Vejle BK	W 2-1	54.9	1434	1488	34.89%	28.31%	36.80%	+0.01	+8.9	19
2016-10-13	@ FC Roskilde	L 1-2	54.9	1488	1434	36.80%	28.31%	34.89%	-0.01	-8.9	13
2016-10-16	AB Gladsaxe	L 2-3	62.2	1469	1329	59.40%	24.57%	16.03%	+0.68	-12.4	18
2016-10-16	@ Nykobing	W 3-2	62.2	1329	1469	16.03%	24.57%	59.40%	-0.68	+12.4	8
2016-10-16	Fremad Amager	D 2-2	69.7	1513	1526	40.71%	28.18%	31.11%	+0.15	-0.4	19
2016-10-16	@ Helsingor	D 2-2	69.7	1526	1513	31.11%	28.18%	40.71%	-0.15	+0.4	15
2016-10-16	Naestved	W 4-1	43.4	1525	1418	55.82%	25.70%	18.48%	+0.57	+12.5	24
2016-10-16	@ Hobro	L 1-4	43.4	1418	1525	18.48%	25.70%	55.82%	-0.57	-12.5	12
2016-10-16	Skive	W 3-0	38.8	1516	1427	53.76%	26.25%	20.00%	+0.51	+15.9	22
2016-10-16	@ HB Koge	L 0-3	38.8	1427	1516	20.00%	26.25%	53.76%	-0.51	-15.9	20
2016-10-16	Vendsyssel	D 0-0	54.7	1408	1519	27.59%	27.86%	44.55%	-0.19	+1.0	15
2016-10-16	@ Fredericia	D 0-0	54.7	1519	1408	44.55%	27.86%	27.59%	+0.19	-1.0	20
2016-10-20	Fredericia	D 1-1	61.1	1538	1409	58.10%	25.01%	16.89%	+0.64	-2.2	25
2016-10-20	@ Hobro	D 1-1	61.1	1409	1538	16.89%	25.01%	58.10%	-0.64	+2.2	16
2016-10-23	FC Roskilde	L 1-2	53.1	1411	1443	38.04%	28.29%	33.67%	+0.09	-9.1	20
2016-10-23	@ Skive	W 2-1	53.1	1443	1411	33.67%	28.29%	38.04%	-0.09	+9.1	22
2016-10-23	HB Koge	W 2-1	57.9	1341	1532	19.43%	26.05%	54.51%	-0.47	+12.2	11
2016-10-23	@ AB Gladsaxe	L 1-2	57.9	1532	1341	54.51%	26.05%	19.43%	+0.47	-12.1	22
2016-10-23	Helsingor	W 5-1	49.4	1405	1513	27.93%	27.90%	44.17%	-0.18	+32.4	15
2016-10-23	@ Naestved	L 1-5	49.4	1513	1405	44.17%	27.90%	27.93%	+0.18	-32.3	19
2016-10-23	Nykobing	W 1-0	46.2	1526	1457	51.37%	26.79%	21.84%	+0.44	+6.3	18
2016-10-23	@ Fremad Amager	L 0-1	46.2	1457	1526	21.84%	26.79%	51.37%	-0.44	-6.3	18
2016-10-23	Vendsyssel	D 1-1	62.0	1479	1518	37.08%	28.31%	34.61%	+0.06	-0.1	14
2016-10-23	@ Vejle BK	D 1-1	62.0	1518	1479	34.61%	28.31%	37.08%	-0.06	+0.1	21
2016-10-27	Vejle BK	L 0-3	49.6	1520	1479	47.88%	27.43%	24.70%	+0.34	-31.7	22
2016-10-27	@ HB Koge	W 3-0	49.6	1479	1520	24.70%	27.43%	47.88%	-0.34	+31.7	17
2016-10-30	AB Gladsaxe	W 2-1	45.3	1480	1353	57.94%	25.06%	17.00%	+0.64	+4.7	22
2016-10-30	@ Helsingor	L 1-2	45.3	1353	1480	17.00%	25.06%	57.94%	-0.64	-4.7	11
2016-10-30	FC Roskilde	W 2-0	43.1	1412	1452	36.88%	28.31%	34.81%	+0.06	+17.1	19
2016-10-30	@ Fredericia	L 0-2	43.1	1452	1412	34.81%	28.31%	36.88%	-0.06	-17.1	22
2016-10-30	Hobro	L 0-4	49.4	1518	1536	40.03%	28.21%	31.76%	+0.13	-36.0	21
2016-10-30	@ Vendsyssel	W 4-0	49.4	1536	1518	31.76%	28.21%	40.03%	-0.13	+36.0	28
2016-10-30	Naestved	L 1-2	55.9	1451	1438	44.24%	27.89%	27.87%	+0.24	-10.2	18
2016-10-30	@ Nykobing	W 2-1	55.9	1438	1451	27.87%	27.89%	44.24%	-0.24	+10.2	18
2016-10-30	Skive	W 3-0	37.1	1532	1402	58.37%	24.92%	16.71%	+0.65	+13.4	21
2016-10-30	@ Fremad Amager	L 0-3	37.1	1402	1532	16.71%	24.92%	58.37%	-0.65	-13.4	20
2016-11-02	Fremad Amager	W 4-0	47.7	1510	1546	37.56%	28.30%	34.15%	+0.07	+32.0	20
2016-11-02	@ Vejle BK	L 0-4	47.7	1546	1510	34.15%	28.30%	37.56%	-0.07	-32.0	21
2016-11-02	Nykobing	W 3-1	47.7	1482	1440	47.92%	27.42%	24.66%	+0.34	+11.4	24
2016-11-02	@ Vendsyssel	L 1-3	47.7	1440	1482	24.66%	27.42%	47.92%	-0.34	-11.4	18
2016-11-03	Helsingor	W 1-0	49.1	1388	1485	29.21%	28.03%	42.76%	-0.14	+10.6	23
2016-11-03	@ Skive	L 0-1	49.1	1485	1388	42.76%	28.03%	29.21%	+0.14	-10.6	22
2016-11-06	Fredericia	D 0-0	57.0	1542	1429	56.51%	25.50%	17.99%	+0.59	-2.3	21
2016-11-06	@ Vejle BK	D 0-0	57.0	1429	1542	17.99%	25.50%	56.51%	-0.59	+2.3	20
2016-11-06	Fremad Amager	L 1-2	48.0	1349	1514	21.71%	26.76%	51.53%	-0.38	-5.9	11
2016-11-06	@ AB Gladsaxe	W 2-1	48.0	1514	1349	51.53%	26.76%	21.71%	+0.38	+5.9	24
2016-11-06	HB Koge	D 1-1	59.3	1435	1488	34.99%	28.31%	36.70%	+0.01	+0.1	23
2016-11-06	@ FC Roskilde	D 1-1	59.3	1488	1435	36.70%	28.31%	34.99%	-0.01	-0.1	23
2016-11-06	Nykobing	L 0-1	57.5	1572	1429	59.60%	24.51%	15.90%	+0.69	-13.9	28
2016-11-06	@ Hobro	W 1-0	57.5	1429	1572	15.90%	24.51%	59.60%	-0.69	+13.9	21
2016-11-06	Vendsyssel	L 1-3	52.1	1448	1493	36.16%	28.31%	35.52%	+0.04	-15.2	18
2016-11-06	@ Naestved	W 3-1	52.1	1493	1448	35.52%	28.31%	36.16%	-0.04	+15.2	27
2016-11-13	AB Gladsaxe	W 2-1	44.5	1508	1343	61.96%	23.63%	14.40%	+0.77	+4.0	30
2016-11-13	@ Vendsyssel	L 1-2	44.5	1343	1508	14.40%	23.63%	61.96%	-0.77	-4.0	11
2016-11-13	FC Roskilde	L 1-3	57.1	1520	1435	53.24%	26.37%	20.39%	+0.49	-20.7	24
2016-11-13	@ Fremad Amager	W 3-1	57.1	1435	1520	20.39%	26.37%	53.24%	-0.49	+20.6	26
2016-11-13	Helsingor	L 0-2	44.9	1431	1474	36.44%	28.31%	35.24%	+0.05	-17.7	20
2016-11-13	@ Fredericia	W 2-0	44.9	1474	1431	35.24%	28.31%	36.44%	-0.05	+17.7	25
2016-11-14	Hobro	W 1-0	54.1	1488	1558	32.71%	28.26%	39.04%	-0.05	+9.9	26
2016-11-14	@ HB Koge	L 0-1	54.1	1558	1488	39.04%	28.26%	32.71%	+0.05	-9.9	28
2016-11-17	Naestved	W 2-1	50.4	1540	1433	55.81%	25.70%	18.49%	+0.57	+5.1	24
2016-11-17	@ Vejle BK	L 1-2	50.4	1433	1540	18.49%	25.70%	55.81%	-0.57	-5.1	18
2016-11-20	Fredericia	L 2-3	54.2	1339	1413	32.06%	28.23%	39.72%	-0.06	-7.6	11
2016-11-20	@ AB Gladsaxe	W 3-2	54.2	1413	1339	39.72%	28.23%	32.06%	+0.06	+7.6	23
2016-11-20	HB Koge	D 2-2	67.9	1492	1498	41.70%	28.11%	30.19%	+0.18	-0.4	26
2016-11-20	@ Helsingor	D 2-2	67.9	1498	1492	30.19%	28.11%	41.70%	-0.18	+0.4	27
2016-11-20	Hobro	W 5-0	48.7	1499	1548	35.64%	28.31%	36.04%	+0.03	+41.0	27
2016-11-20	@ Fremad Amager	L 0-5	48.7	1548	1499	36.04%	28.31%	35.64%	-0.03	-41.0	28
2016-11-20	Nykobing	W 2-1	51.3	1455	1443	44.16%	27.90%	27.94%	+0.24	+7.2	29
2016-11-20	@ FC Roskilde	L 1-2	51.3	1443	1455	27.94%	27.90%	44.16%	-0.24	-7.3	21
2016-11-20	Vendsyssel	W 3-1	53.5	1399	1512	27.18%	27.81%	45.01%	-0.20	+18.0	26
2016-11-20	@ Skive	L 1-3	53.5	1512	1399	45.01%	27.81%	27.18%	+0.20	-18.0	30
2016-11-24	Skive	W 2-1	49.2	1507	1417	53.83%	26.23%	19.94%	+0.51	+5.5	31
2016-11-24	@ Hobro	L 1-2	49.2	1417	1507	19.94%	26.23%	53.83%	-0.51	-5.5	26
2016-11-27	AB Gladsaxe	W 2-0	35.3	1428	1331	54.58%	26.04%	19.39%	+0.53	+10.6	21
2016-11-27	@ Naestved	L 0-2	35.3	1331	1428	19.39%	26.04%	54.58%	-0.53	-10.6	11
2016-11-27	FC Roskilde	D 2-2	66.8	1494	1463	46.69%	27.60%	25.71%	+0.31	-0.8	31
2016-11-27	@ Vendsyssel	D 2-2	66.8	1463	1494	25.71%	27.60%	46.69%	-0.31	+0.8	30
2016-11-27	Fremad Amager	D 0-0	58.7	1498	1540	36.62%	28.31%	35.07%	+0.05	-0.1	28
2016-11-27	@ HB Koge	D 0-0	58.7	1540	1498	35.07%	28.31%	36.62%	-0.05	+0.1	28
2016-11-27	Nykobing	L 0-2	44.5	1421	1436	40.47%	28.19%	31.34%	+0.15	-19.1	23
2016-11-27	@ Fredericia	W 2-0	44.5	1436	1421	31.34%	28.19%	40.47%	-0.15	+19.1	24
2016-11-27	Vejle BK	D 0-0	58.6	1492	1545	34.93%	28.31%	36.76%	+0.01	+0.1	27
2016-11-27	@ Helsingor	D 0-0	58.6	1545	1492	36.76%	28.31%	34.93%	-0.01	-0.1	25
2016-12-01	Skive	L 2-3	60.4	1438	1411	46.08%	27.68%	26.24%	+0.29	-10.0	21
2016-12-01	@ Naestved	W 3-2	60.4	1411	1438	26.24%	27.68%	46.08%	-0.29	+10.0	29
2016-12-01	Vejle BK	W 4-3	66.9	1455	1545	30.01%	28.10%	41.89%	-0.12	+9.1	27
2016-12-01	@ Nykobing	L 3-4	66.9	1545	1455	41.89%	28.10%	30.01%	+0.12	-9.1	25
2017-03-05	FC Roskilde	L 0-4	35.6	1321	1463	23.92%	27.28%	48.80%	-0.30	-24.3	11
2017-03-05	@ AB Gladsaxe	W 4-0	35.6	1463	1321	48.80%	27.28%	23.92%	+0.30	+24.3	33
2017-03-05	Fremad Amager	D 0-0	58.5	1494	1540	35.94%	28.31%	35.75%	+0.03	-0.0	32
2017-03-05	@ Vendsyssel	D 0-0	58.5	1540	1494	35.75%	28.31%	35.94%	-0.03	+0.0	29
2017-03-05	HB Koge	W 1-0	49.5	1464	1498	37.73%	28.29%	33.98%	+0.08	+8.9	30
2017-03-05	@ Nykobing	L 0-1	49.5	1498	1464	33.98%	28.29%	37.73%	-0.08	-8.9	28
2017-03-05	Helsingor	W 2-0	45.4	1512	1492	45.24%	27.78%	26.98%	+0.27	+14.1	34
2017-03-05	@ Hobro	L 0-2	45.4	1492	1512	26.98%	27.78%	45.24%	-0.27	-14.1	27
2017-03-05	Naestved	W 2-1	50.9	1402	1428	38.84%	28.26%	32.89%	+0.11	+8.2	26
2017-03-05	@ Fredericia	L 1-2	50.9	1428	1402	32.89%	28.26%	38.84%	-0.11	-8.2	21
2017-03-05	Skive	L 0-2	51.9	1536	1421	56.62%	25.47%	17.91%	+0.60	-25.1	25
2017-03-05	@ Vejle BK	W 2-0	51.9	1421	1536	17.91%	25.47%	56.62%	-0.60	+25.1	32
2017-03-12	AB Gladsaxe	W 1-0	36.7	1446	1296	60.40%	24.22%	15.38%	+0.72	+4.5	35
2017-03-12	@ Skive	L 0-1	36.7	1296	1446	15.38%	24.22%	60.40%	-0.72	-4.5	11
2017-03-12	Fredericia	W 2-1	48.9	1540	1410	58.29%	24.95%	16.77%	+0.65	+4.6	32
2017-03-12	@ Fremad Amager	L 1-2	48.9	1410	1540	16.77%	24.95%	58.29%	-0.65	-4.6	26
2017-03-12	Hobro	L 1-5	52.7	1511	1526	40.38%	28.19%	31.43%	+0.14	-30.2	25
2017-03-12	@ Vejle BK	W 5-1	52.7	1526	1511	31.43%	28.19%	40.38%	-0.14	+30.2	37
2017-03-12	Naestved	W 2-1	49.5	1488	1420	51.19%	26.83%	21.98%	+0.43	+6.0	36
2017-03-12	@ FC Roskilde	L 1-2	49.5	1420	1488	21.98%	26.83%	51.19%	-0.43	-6.0	21
2017-03-12	Nykobing	W 3-0	42.3	1478	1473	43.12%	28.00%	28.88%	+0.21	+21.6	30
2017-03-12	@ Helsingor	L 0-3	42.3	1473	1478	28.88%	28.00%	43.12%	-0.21	-21.6	30
2017-03-12	Vendsyssel	W 1-0	49.0	1489	1494	41.90%	28.10%	30.00%	+0.18	+8.1	31
2017-03-12	@ HB Koge	L 0-1	49.0	1494	1489	30.00%	28.10%	41.90%	-0.18	-8.1	32
2017-03-19	Fremad Amager	D 1-1	60.8	1414	1545	25.23%	27.52%	47.25%	-0.26	+1.1	22
2017-03-19	@ Naestved	D 1-1	60.8	1545	1414	47.25%	27.52%	25.23%	+0.26	-1.1	33
2017-03-19	HB Koge	D 0-0	53.8	1406	1497	29.82%	28.09%	42.09%	-0.12	+0.7	27
2017-03-19	@ Fredericia	D 0-0	53.8	1497	1406	42.09%	28.09%	29.82%	+0.12	-0.7	32
2017-03-19	Skive	L 2-3	61.1	1451	1451	42.53%	28.05%	29.42%	+0.20	-9.4	30
2017-03-19	@ Nykobing	W 3-2	61.1	1451	1451	29.42%	28.05%	42.53%	-0.20	+9.4	38
2017-03-19	Vejle BK	L 1-2	45.0	1292	1481	19.57%	26.10%	54.33%	-0.46	-5.4	11
2017-03-19	@ AB Gladsaxe	W 2-1	45.0	1481	1292	54.33%	26.10%	19.57%	+0.46	+5.4	28
2017-03-20	Helsingor	L 1-2	58.2	1485	1499	40.59%	28.18%	31.22%	+0.15	-9.6	32
2017-03-20	@ Vendsyssel	W 2-1	58.2	1499	1485	31.22%	28.18%	40.59%	-0.15	+9.6	33
2017-03-20	Hobro	L 1-2	58.6	1494	1556	33.66%	28.29%	38.05%	-0.02	-8.4	36
2017-03-20	@ FC Roskilde	W 2-1	58.6	1556	1494	38.05%	28.29%	33.66%	+0.02	+8.3	40
2017-03-26	Fredericia	D 0-0	54.9	1509	1406	55.26%	25.85%	18.89%	+0.55	-2.2	34
2017-03-26	@ Helsingor	D 0-0	54.9	1406	1509	18.89%	25.85%	55.26%	-0.55	+2.2	28
2017-03-26	Fremad Amager	W 4-0	47.2	1565	1544	45.32%	27.78%	26.91%	+0.27	+26.7	43
2017-03-26	@ Hobro	L 0-4	47.2	1544	1565	26.91%	27.78%	45.32%	-0.27	-26.7	33
2017-03-26	Naestved	W 2-1	49.3	1460	1415	48.41%	27.34%	24.25%	+0.35	+6.5	41
2017-03-26	@ Skive	L 1-2	49.3	1415	1460	24.25%	27.34%	48.41%	-0.35	-6.5	22
2017-03-27	Vendsyssel	L 1-2	55.0	1442	1476	37.76%	28.29%	33.95%	+0.08	-9.1	30
2017-03-27	@ Nykobing	W 2-1	55.0	1476	1442	33.95%	28.29%	37.76%	-0.08	+9.1	35
2017-03-30	Skive	W 3-1	49.7	1485	1467	44.97%	27.82%	27.22%	+0.26	+12.3	39
2017-03-30	@ FC Roskilde	L 1-3	49.7	1467	1485	27.22%	27.82%	44.97%	-0.26	-12.3	41
2017-04-02	AB Gladsaxe	L 1-3	51.6	1408	1286	57.42%	25.22%	17.36%	+0.62	-22.0	28
2017-04-02	@ Fredericia	W 3-1	51.6	1286	1408	17.36%	25.22%	57.42%	-0.62	+22.0	14
2017-04-02	HB Koge	D 0-0	61.1	1592	1497	54.40%	26.08%	19.52%	+0.53	-2.1	44
2017-04-02	@ Hobro	D 0-0	61.1	1497	1592	19.52%	26.08%	54.40%	-0.53	+2.1	33
2017-04-02	Helsingor	L 1-2	60.6	1517	1507	43.89%	27.93%	28.18%	+0.23	-10.2	33
2017-04-02	@ Fremad Amager	W 2-1	60.6	1507	1517	28.18%	27.93%	43.89%	-0.23	+10.2	37
2017-04-02	Nykobing	D 0-0	51.9	1409	1433	39.16%	28.25%	32.58%	+0.11	-0.4	23
2017-04-02	@ Naestved	D 0-0	51.9	1433	1409	32.58%	28.25%	39.16%	-0.11	+0.4	31
2017-04-02	Vejle BK	W 3-2	59.6	1485	1486	42.31%	28.07%	29.62%	+0.19	+7.2	38
2017-04-02	@ Vendsyssel	L 2-3	59.6	1486	1485	29.62%	28.07%	42.31%	-0.19	-7.2	28
2017-04-05	AB Gladsaxe	D 0-0	52.8	1499	1308	64.39%	22.64%	12.97%	+0.86	-3.2	34
2017-04-05	@ HB Koge	D 0-0	52.8	1308	1499	12.97%	22.64%	64.39%	-0.86	+3.2	15
2017-04-05	FC Roskilde	W 4-1	49.4	1479	1498	39.91%	28.22%	31.87%	+0.13	+19.6	31
2017-04-05	@ Vejle BK	L 1-4	49.4	1498	1479	31.87%	28.22%	39.91%	-0.13	-19.6	39
2017-04-09	FC Roskilde	W 1-0	47.8	1517	1478	47.60%	27.47%	24.93%	+0.33	+7.0	40
2017-04-09	@ Helsingor	L 0-1	47.8	1478	1517	24.93%	27.47%	47.60%	-0.33	-7.0	39
2017-04-09	Fredericia	L 0-1	52.4	1492	1386	55.61%	25.76%	18.63%	+0.56	-13.1	38
2017-04-09	@ Vendsyssel	W 1-0	52.4	1386	1492	18.63%	25.76%	55.61%	-0.56	+13.1	31
2017-04-09	Fremad Amager	W 4-1	50.3	1455	1507	35.14%	28.31%	36.55%	+0.02	+21.7	44
2017-04-09	@ Skive	L 1-4	50.3	1507	1455	36.55%	28.31%	35.14%	-0.02	-21.7	33
2017-04-09	HB Koge	L 0-1	53.3	1499	1496	42.91%	28.02%	29.07%	+0.21	-10.6	31
2017-04-09	@ Vejle BK	W 1-0	53.3	1496	1499	29.07%	28.02%	42.91%	-0.21	+10.6	37
2017-04-09	Hobro	L 1-3	50.6	1433	1589	22.56%	26.98%	50.46%	-0.35	-10.5	31
2017-04-09	@ Nykobing	W 3-1	50.6	1589	1433	50.46%	26.98%	22.56%	+0.35	+10.5	47
2017-04-09	Naestved	L 0-1	41.6	1312	1408	29.19%	28.03%	42.78%	-0.14	-8.0	15
2017-04-09	@ AB Gladsaxe	W 1-0	41.6	1408	1312	42.78%	28.03%	29.19%	+0.14	+8.0	26
2017-04-13	AB Gladsaxe	W 2-0	33.3	1600	1304	73.66%	18.04%	8.29%	+1.23	+4.2	50
2017-04-13	@ Hobro	L 0-2	33.3	1304	1600	8.29%	18.04%	73.66%	-1.23	-4.2	15
2017-04-13	FC Roskilde	L 1-2	53.1	1416	1471	34.81%	28.31%	36.89%	+0.01	-8.5	26
2017-04-13	@ Naestved	W 2-1	53.1	1471	1416	36.89%	28.31%	34.81%	-0.01	+8.6	42
2017-04-13	Helsingor	L 0-2	50.4	1506	1524	40.06%	28.21%	31.73%	+0.14	-19.0	37
2017-04-13	@ HB Koge	W 2-0	50.4	1524	1506	31.73%	28.21%	40.06%	-0.14	+19.0	43
2017-04-13	Nykobing	D 2-2	65.4	1488	1423	50.92%	26.88%	22.20%	+0.42	-1.1	32
2017-04-13	@ Vejle BK	D 2-2	65.4	1423	1488	22.20%	26.88%	50.92%	-0.42	+1.1	32
2017-04-13	Skive	W 2-0	45.0	1400	1476	31.78%	28.21%	40.01%	-0.07	+19.0	34
2017-04-13	@ Fredericia	L 0-2	45.0	1476	1400	40.01%	28.21%	31.78%	+0.07	-19.0	44
2017-04-13	Vendsyssel	L 1-2	58.2	1485	1479	43.32%	27.98%	28.70%	+0.22	-10.1	33
2017-04-13	@ Fremad Amager	W 2-1	58.2	1479	1485	28.70%	27.98%	43.32%	-0.22	+10.1	41
2017-04-23	AB Gladsaxe	L 1-2	57.3	1480	1299	63.41%	23.05%	13.54%	+0.82	-13.8	42
2017-04-23	@ FC Roskilde	W 2-1	57.3	1299	1480	13.54%	23.05%	63.41%	-0.82	+13.8	18
2017-04-23	Fredericia	D 2-2	63.0	1424	1418	43.20%	27.99%	28.81%	+0.21	-0.5	33
2017-04-23	@ Nykobing	D 2-2	63.0	1418	1424	28.81%	27.99%	43.20%	-0.21	+0.5	35
2017-04-23	HB Koge	W 2-1	54.6	1457	1487	38.34%	28.28%	33.39%	+0.09	+8.3	47
2017-04-23	@ Skive	L 1-2	54.6	1487	1457	33.39%	28.28%	38.34%	-0.09	-8.3	37
2017-04-23	Hobro	W 3-0	51.9	1543	1604	33.84%	28.29%	37.87%	-0.02	+26.4	46
2017-04-23	@ Helsingor	L 0-3	51.9	1604	1543	37.87%	28.29%	33.84%	+0.02	-26.4	50
2017-04-23	Naestved	D 1-1	59.0	1489	1408	52.81%	26.47%	20.72%	+0.48	-1.7	42
2017-04-23	@ Vendsyssel	D 1-1	59.0	1408	1489	20.72%	26.47%	52.81%	-0.48	+1.7	27
2017-04-23	Vejle BK	L 2-3	62.7	1475	1487	40.86%	28.17%	30.97%	+0.16	-9.1	33
2017-04-23	@ Fremad Amager	W 3-2	62.7	1487	1475	30.97%	28.17%	40.86%	-0.16	+9.1	35
2017-04-30	FC Roskilde	L 1-2	64.4	1578	1466	56.33%	25.55%	18.12%	+0.59	-12.5	50
2017-04-30	@ Hobro	W 2-1	64.4	1466	1578	18.12%	25.55%	56.33%	-0.59	+12.5	45
2017-04-30	Fremad Amager	D 2-2	64.1	1419	1466	35.91%	28.31%	35.77%	+0.03	-0.0	36
2017-04-30	@ Fredericia	D 2-2	64.1	1466	1419	35.77%	28.31%	35.91%	-0.03	+0.0	34
2017-04-30	Nykobing	W 2-1	49.7	1479	1423	49.73%	27.11%	23.16%	+0.39	+6.2	40
2017-04-30	@ HB Koge	L 1-2	49.7	1423	1479	23.16%	27.11%	49.73%	-0.39	-6.2	33
2017-04-30	Skive	D 0-0	59.3	1569	1466	55.38%	25.82%	18.80%	+0.56	-2.2	47
2017-04-30	@ Helsingor	D 0-0	59.3	1466	1569	18.80%	25.82%	55.38%	-0.56	+2.2	48
2017-04-30	Vejle BK	D 3-3	68.6	1409	1496	30.49%	28.14%	41.37%	-0.10	+0.3	28
2017-04-30	@ Naestved	D 3-3	68.6	1496	1409	41.37%	28.14%	30.49%	+0.10	-0.3	36
2017-04-30	Vendsyssel	L 0-3	34.9	1313	1487	20.87%	26.52%	52.60%	-0.41	-16.5	18
2017-04-30	@ AB Gladsaxe	W 3-0	34.9	1487	1313	52.60%	26.52%	20.87%	+0.41	+16.5	45
2017-05-07	AB Gladsaxe	D 2-2	63.5	1496	1297	65.22%	22.28%	12.50%	+0.89	-2.2	37
2017-05-07	@ Vejle BK	D 2-2	63.5	1297	1496	12.50%	22.28%	65.22%	-0.89	+2.2	19
2017-05-07	Fredericia	W 2-0	40.8	1410	1419	41.23%	28.15%	30.63%	+0.16	+15.6	31
2017-05-07	@ Naestved	L 0-2	40.8	1419	1410	30.63%	28.15%	41.23%	-0.16	-15.6	36
2017-05-07	HB Koge	W 2-0	45.1	1466	1485	39.84%	28.22%	31.94%	+0.13	+16.1	37
2017-05-07	@ Fremad Amager	L 0-2	45.1	1485	1466	31.94%	28.22%	39.84%	-0.13	-16.1	40
2017-05-07	Helsingor	W 3-1	57.4	1417	1567	23.20%	27.12%	49.68%	-0.32	+19.5	36
2017-05-07	@ Nykobing	L 1-3	57.4	1567	1417	49.68%	27.12%	23.20%	+0.32	-19.5	47
2017-05-07	Hobro	L 0-1	50.6	1468	1565	29.10%	28.02%	42.88%	-0.14	-7.9	48
2017-05-07	@ Skive	W 1-0	50.6	1565	1468	42.88%	28.02%	29.10%	+0.14	+7.9	53
2017-05-07	Vendsyssel	D 0-0	56.6	1478	1504	38.94%	28.26%	32.80%	+0.11	-0.3	46
2017-05-07	@ FC Roskilde	D 0-0	56.6	1504	1478	32.80%	28.26%	38.94%	-0.11	+0.3	46
2017-05-11	FC Roskilde	W 3-2	59.3	1436	1478	36.68%	28.31%	35.01%	+0.05	+8.1	39
2017-05-11	@ Nykobing	L 2-3	59.3	1478	1436	35.01%	28.31%	36.68%	-0.05	-8.2	46
2017-05-11	Fredericia	D 1-1	58.1	1469	1403	50.94%	26.88%	22.18%	+0.42	-1.5	41
2017-05-11	@ HB Koge	D 1-1	58.1	1403	1469	22.18%	26.88%	50.94%	-0.42	+1.5	37
2017-05-11	Helsingor	W 2-1	58.4	1299	1547	15.13%	24.08%	60.79%	-0.67	+13.3	22
2017-05-11	@ AB Gladsaxe	L 1-2	58.4	1547	1299	60.79%	24.08%	15.13%	+0.67	-13.3	47
2017-05-11	Naestved	L 0-3	46.8	1482	1425	49.83%	27.09%	23.07%	+0.39	-32.8	37
2017-05-11	@ Fremad Amager	W 3-0	46.8	1425	1482	23.07%	27.09%	49.83%	-0.39	+32.8	34
2017-05-11	Skive	W 4-0	41.1	1504	1460	48.31%	27.36%	24.33%	+0.35	+24.6	49
2017-05-11	@ Vendsyssel	L 0-4	41.1	1460	1504	24.33%	27.36%	48.31%	-0.35	-24.6	48
2017-05-11	Vejle BK	D 1-1	65.1	1573	1494	52.64%	26.51%	20.85%	+0.47	-1.7	54
2017-05-11	@ Hobro	D 1-1	65.1	1494	1573	20.85%	26.51%	52.64%	-0.47	+1.7	38
2017-05-14	Fremad Amager	D 0-0	54.5	1470	1449	45.24%	27.78%	26.97%	+0.27	-1.0	47
2017-05-14	@ FC Roskilde	D 0-0	54.5	1449	1470	26.97%	27.78%	45.24%	-0.27	+1.0	38
2017-05-14	Hobro	W 2-1	60.8	1405	1572	21.57%	26.72%	51.71%	-0.38	+11.6	40
2017-05-14	@ Fredericia	L 1-2	60.8	1572	1405	51.71%	26.72%	21.57%	+0.38	-11.6	54
2017-05-14	Naestved	W 3-0	41.2	1468	1458	43.75%	27.94%	28.30%	+0.23	+21.3	44
2017-05-14	@ HB Koge	L 0-3	41.2	1458	1468	28.30%	27.94%	43.75%	-0.23	-21.3	34
2017-05-14	Nykobing	D 2-2	61.2	1312	1445	25.04%	27.49%	47.48%	-0.26	+0.9	23
2017-05-14	@ AB Gladsaxe	D 2-2	61.2	1445	1312	47.48%	27.49%	25.04%	+0.26	-0.9	40
2017-05-14	Vejle BK	L 0-1	48.4	1435	1495	34.06%	28.30%	37.65%	-0.01	-8.9	48
2017-05-14	@ Skive	W 1-0	48.4	1495	1435	37.65%	28.30%	34.06%	+0.01	+8.9	41
2017-05-14	Vendsyssel	L 0-1	55.9	1534	1529	43.22%	27.99%	28.79%	+0.22	-10.7	47
2017-05-14	@ Helsingor	W 1-0	55.9	1529	1534	28.79%	27.99%	43.22%	-0.22	+10.7	52
2017-05-21	AB Gladsaxe	W 1-0	37.4	1450	1313	59.05%	24.69%	16.25%	+0.67	+4.8	41
2017-05-21	@ Fremad Amager	L 0-1	37.4	1313	1450	16.25%	24.69%	59.05%	-0.67	-4.8	23
2017-05-21	Fredericia	W 2-1	49.3	1469	1417	49.29%	27.19%	23.52%	+0.38	+6.3	50
2017-05-21	@ FC Roskilde	L 1-2	49.3	1417	1469	23.52%	27.19%	49.29%	-0.38	-6.3	40
2017-05-21	HB Koge	W 3-2	59.7	1539	1489	49.10%	27.23%	23.67%	+0.37	+6.0	55
2017-05-21	@ Vendsyssel	L 2-3	59.7	1489	1539	23.67%	27.23%	49.10%	-0.37	-6.0	44
2017-05-21	Helsingor	L 0-1	53.7	1504	1524	39.81%	28.22%	31.96%	+0.13	-10.0	41
2017-05-21	@ Vejle BK	W 1-0	53.7	1524	1504	31.96%	28.22%	39.81%	-0.13	+10.0	50
2017-05-21	Hobro	D 0-0	57.3	1437	1560	26.07%	27.66%	46.27%	-0.23	+1.2	35
2017-05-21	@ Naestved	D 0-0	57.3	1560	1437	46.27%	27.66%	26.07%	+0.23	-1.2	55
2017-05-21	Nykobing	L 2-3	59.4	1426	1444	40.09%	28.21%	31.70%	+0.14	-9.0	48
2017-05-21	@ Skive	W 3-2	59.4	1444	1426	31.70%	28.21%	40.09%	-0.14	+9.0	43
2017-05-27	FC Roskilde	W 1-0	47.6	1483	1475	43.54%	27.96%	28.50%	+0.22	+7.8	47
2017-05-27	@ HB Koge	L 0-1	47.6	1475	1483	28.50%	27.96%	43.54%	-0.22	-7.8	50
2017-05-27	Fremad Amager	W 2-0	42.9	1453	1455	42.18%	28.08%	29.74%	+0.19	+15.2	46
2017-05-27	@ Nykobing	L 0-2	42.9	1455	1453	29.74%	28.08%	42.18%	-0.19	-15.2	41
2017-05-27	Naestved	W 1-0	44.8	1534	1438	54.46%	26.07%	19.47%	+0.53	+5.7	53
2017-05-27	@ Helsingor	L 0-1	44.8	1438	1534	19.47%	26.07%	54.46%	-0.53	-5.7	35
2017-05-27	Skive	D 1-1	54.5	1308	1417	27.70%	27.88%	44.42%	-0.18	+0.8	24
2017-05-27	@ AB Gladsaxe	D 1-1	54.5	1417	1308	44.42%	27.88%	27.70%	+0.18	-0.8	49
2017-05-27	Vejle BK	W 3-1	52.2	1410	1494	30.84%	28.16%	41.00%	-0.09	+16.7	43
2017-05-27	@ Fredericia	L 1-3	52.2	1494	1410	41.00%	28.16%	30.84%	+0.09	-16.7	41
2017-05-27	Vendsyssel	W 1-0	52.7	1559	1545	44.29%	27.89%	27.82%	+0.24	+7.7	58
2017-05-27	@ Hobro	L 0-1	52.7	1545	1559	27.82%	27.89%	44.29%	-0.24	-7.7	55

Playoff Game Log

Every playoff game for the team selected at the top of the tab (empty if they didn't reach the postseason). Sort any column by clicking its header. @ before an opponent name indicates an away game; the record column shows the team's running playoff record.

Date	Opponent	Score	Pre Elo	Opp Elo	Win %	Tie %	Loss %	Proj. Margin	Elo Δ	Record
2017-05-31	Vendsyssel	D 0-0	1546	1538	43.63%	27.95%	28.42%	+0.23	-0.8	0-0-1
2017-05-31	@ Horsens	D 0-0	1538	1546	28.42%	27.95%	43.63%	-0.23	+0.9	0-0-1
2017-05-31	Viborg	D 1-1	1539	1598	34.24%	28.30%	37.46%	-0.01	+0.2	0-0-1
2017-05-31	@ Helsingor	D 1-1	1598	1539	37.46%	28.30%	34.24%	+0.01	-0.1	0-0-1
2017-06-04	Helsingor	D 2-2	1598	1539	50.05%	27.05%	22.90%	+0.40	-1.1	0-0-2
2017-06-04	@ Viborg	D 2-2	1539	1598	22.90%	27.05%	50.05%	-0.40	+1.1	0-0-2
2017-06-04	Horsens	L 1-3	1539	1545	41.57%	28.12%	30.31%	+0.17	-16.9	0-1-1
2017-06-04	@ Vendsyssel	W 3-1	1545	1539	30.31%	28.12%	41.57%	-0.17	+16.9	1-0-1

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	2016-10-02	10.97%	AB Gladsaxe	1321	3	@ Fremad Amager	1551	1
2	2017-04-23	13.54%	AB Gladsaxe	1299	2	@ FC Roskilde	1480	1
3	2017-05-11	15.13%	@ AB Gladsaxe	1299	2	Helsingor	1547	1
4	2016-11-06	15.90%	Nykobing	1429	1	@ Hobro	1572	0
5	2016-10-16	16.03%	AB Gladsaxe	1329	3	@ Nykobing	1469	2
6	2017-04-02	17.36%	AB Gladsaxe	1286	3	@ Fredericia	1408	1
7	2017-03-05	17.91%	Skive	1421	2	@ Vejle BK	1536	0
8	2017-04-30	18.12%	FC Roskilde	1466	2	@ Hobro	1578	1
9	2017-04-09	18.63%	Fredericia	1386	1	@ Vendsyssel	1492	0
10	2016-10-23	19.43%	@ AB Gladsaxe	1341	2	HB Koge	1532	1
11	2016-11-13	20.39%	FC Roskilde	1435	3	@ Fremad Amager	1520	1
12	2017-05-14	21.57%	@ Fredericia	1405	2	Hobro	1572	1
13	2016-08-28	23.00%	Naestved	1454	2	@ Helsingor	1511	1
14	2017-05-11	23.07%	Naestved	1425	3	@ Fremad Amager	1482	0
15	2017-05-07	23.20%	@ Nykobing	1417	3	Helsingor	1567	1
16	2016-10-27	24.70%	Vejle BK	1479	3	@ HB Koge	1520	0
17	2016-09-11	25.85%	HB Koge	1492	2	@ Vejle BK	1522	0
18	2016-12-01	26.24%	Skive	1411	3	@ Naestved	1438	2
19	2016-09-11	26.54%	Vendsyssel	1442	3	@ Naestved	1466	1
20	2016-11-20	27.18%	@ Skive	1399	3	Vendsyssel	1512	1
21	2016-07-24	27.56%	HB Koge	1471	1	@ Vendsyssel	1487	0
22	2016-10-30	27.87%	Naestved	1438	2	@ Nykobing	1451	1
23	2016-10-23	27.93%	@ Naestved	1405	5	Helsingor	1513	1
24	2017-04-02	28.18%	Helsingor	1507	2	@ Fremad Amager	1517	1
25	2017-04-13	28.70%	Vendsyssel	1479	2	@ Fremad Amager	1485	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	2016-11-20	41.05	@ Fremad Amager	5	1499	35.64%	Hobro	0	1548	36.04%	28.31%
2	2016-10-30	35.98	Hobro	4	1536	31.76%	@ Vendsyssel	0	1518	40.03%	28.21%
3	2016-09-18	34.33	@ Vendsyssel	5	1460	43.68%	FC Roskilde	0	1451	28.37%	27.95%
4	2017-05-11	32.77	Naestved	3	1425	23.07%	@ Fremad Amager	0	1482	49.83%	27.09%
5	2016-10-23	32.35	@ Naestved	5	1405	27.93%	Helsingor	1	1513	44.17%	27.90%
6	2016-11-02	32.03	@ Vejle BK	4	1510	37.56%	Fremad Amager	0	1546	34.15%	28.30%
7	2016-10-27	31.71	Vejle BK	3	1479	24.70%	@ HB Koge	0	1520	47.88%	27.43%
8	2017-03-12	30.18	Hobro	5	1526	31.43%	@ Vejle BK	1	1511	40.38%	28.19%
9	2016-08-14	29.33	@ Nykobing	4	1447	41.54%	Skive	0	1454	30.33%	28.12%
10	2016-08-21	27.70	Vejle BK	3	1497	31.47%	@ Naestved	0	1482	40.33%	28.20%
11	2016-08-29	27.24	@ Hobro	4	1484	44.56%	Vendsyssel	0	1469	27.58%	27.86%
12	2017-03-26	26.72	@ Hobro	4	1565	45.32%	Fremad Amager	0	1544	26.91%	27.78%
13	2017-04-23	26.43	@ Helsingor	3	1543	33.84%	Hobro	0	1604	37.87%	28.29%
14	2016-10-02	25.18	AB Gladsaxe	3	1321	10.97%	@ Fremad Amager	1	1551	68.07%	20.96%
15	2017-03-05	25.10	Skive	2	1421	17.91%	@ Vejle BK	0	1536	56.62%	25.47%
16	2017-05-11	24.61	@ Vendsyssel	4	1504	48.31%	Skive	0	1460	24.33%	27.36%
17	2016-08-07	24.42	@ Naestved	3	1438	37.74%	Hobro	0	1472	33.96%	28.29%
18	2017-03-05	24.27	FC Roskilde	4	1463	48.80%	@ AB Gladsaxe	0	1321	23.92%	27.28%
19	2016-08-28	23.51	@ Fremad Amager	5	1513	56.13%	Skive	0	1402	18.26%	25.61%
20	2016-09-11	23.24	@ Helsingor	4	1500	50.25%	Fredericia	0	1440	22.74%	27.02%
21	2016-08-18	21.99	Hobro	4	1462	34.51%	@ Skive	1	1424	37.19%	28.30%
22	2017-04-02	21.99	AB Gladsaxe	3	1286	17.36%	@ Fredericia	1	1408	57.42%	25.22%
23	2017-04-09	21.72	@ Skive	4	1455	35.14%	Fremad Amager	1	1507	36.55%	28.31%
24	2017-03-12	21.62	@ Helsingor	3	1478	43.12%	Nykobing	0	1473	28.88%	28.00%
25	2016-09-11	21.33	HB Koge	2	1492	25.85%	@ Vejle BK	0	1522	46.53%	27.62%

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	2016-10-16	69.7	@ Helsingor	2	1513	40.71%	Fremad Amager	2	1526	31.11%	28.18%
2	2017-04-30	68.6	@ Naestved	3	1409	30.49%	Vejle BK	3	1496	41.37%	28.14%
3	2016-08-11	68.1	@ Vejle BK	2	1498	42.37%	Helsingor	2	1499	29.57%	28.06%
4	2016-11-20	67.9	@ Helsingor	2	1492	41.70%	HB Koge	2	1498	30.19%	28.11%
5	2016-12-01	66.9	@ Nykobing	4	1455	30.01%	Vejle BK	3	1545	41.89%	28.10%
6	2016-09-01	66.8	@ HB Koge	2	1492	46.12%	Naestved	2	1465	26.21%	27.68%
7	2016-11-27	66.8	@ Vendsyssel	2	1494	46.69%	FC Roskilde	2	1463	25.71%	27.60%
8	2016-07-31	66.4	@ AB Gladsaxe	3	1394	36.31%	Naestved	3	1438	35.37%	28.31%
9	2016-10-09	66.2	@ FC Roskilde	2	1433	31.37%	Helsingor	2	1513	40.43%	28.19%
10	2017-04-13	65.4	@ Vejle BK	2	1488	50.92%	Nykobing	2	1423	22.20%	26.88%
11	2017-05-11	65.1	@ Hobro	1	1573	52.64%	Vejle BK	1	1494	20.85%	26.51%
12	2017-04-30	64.4	FC Roskilde	2	1466	18.12%	@ Hobro	1	1578	56.33%	25.55%
13	2017-04-30	64.1	@ Fredericia	2	1419	35.91%	Fremad Amager	2	1466	35.77%	28.31%
14	2017-05-07	63.5	@ Vejle BK	2	1496	65.22%	AB Gladsaxe	2	1297	12.50%	22.28%
15	2017-04-23	63.0	@ Nykobing	2	1424	43.20%	Fredericia	2	1418	28.81%	27.99%
16	2016-09-28	62.9	@ Nykobing	1	1470	31.16%	Fremad Amager	1	1551	40.66%	28.18%
17	2016-07-24	62.7	@ Vejle BK	1	1482	35.25%	Fremad Amager	1	1533	36.44%	28.31%
18	2017-04-23	62.7	Vejle BK	3	1487	30.97%	@ Fremad Amager	2	1475	40.86%	28.17%
19	2016-09-15	62.4	@ Nykobing	1	1485	37.16%	Helsingor	1	1523	34.53%	28.30%
20	2016-08-21	62.3	@ HB Koge	1	1493	39.85%	Fremad Amager	1	1512	31.93%	28.22%
21	2016-10-16	62.2	AB Gladsaxe	3	1329	16.03%	@ Nykobing	2	1469	59.40%	24.57%
22	2016-10-23	62.0	@ Vejle BK	1	1479	37.08%	Vendsyssel	1	1518	34.61%	28.31%
23	2016-08-14	61.2	@ Fremad Amager	1	1514	50.50%	Vendsyssel	1	1452	22.54%	26.97%
24	2017-05-14	61.2	@ AB Gladsaxe	2	1312	25.04%	Nykobing	2	1445	47.48%	27.49%
25	2016-09-18	61.1	@ Fredericia	3	1417	30.81%	Vejle BK	2	1501	41.03%	28.16%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2017-04-13	33.3	@ Hobro	2	1600	73.66%	AB Gladsaxe	0	1304	8.29%	18.04%
2	2017-04-30	34.9	Vendsyssel	3	1487	52.60%	@ AB Gladsaxe	0	1313	20.87%	26.52%
3	2016-11-27	35.3	@ Naestved	2	1428	54.58%	AB Gladsaxe	0	1331	19.39%	26.04%
4	2017-03-05	35.6	FC Roskilde	4	1463	48.80%	@ AB Gladsaxe	0	1321	23.92%	27.28%
5	2016-10-09	36.7	Hobro	3	1508	51.14%	@ AB Gladsaxe	0	1346	22.02%	26.84%
6	2017-03-12	36.7	@ Skive	1	1446	60.40%	AB Gladsaxe	0	1296	15.38%	24.22%
7	2016-10-30	37.1	@ Fremad Amager	3	1532	58.37%	Skive	0	1402	16.71%	24.92%
8	2017-05-21	37.4	@ Fremad Amager	1	1450	59.05%	AB Gladsaxe	0	1313	16.25%	24.69%
9	2016-08-28	37.7	@ Fremad Amager	5	1513	56.13%	Skive	0	1402	18.26%	25.61%
10	2016-09-18	38.1	@ HB Koge	1	1513	63.22%	AB Gladsaxe	0	1335	13.65%	23.13%
11	2016-10-16	38.8	@ HB Koge	3	1516	53.76%	Skive	0	1427	20.00%	26.25%
12	2016-09-11	39.6	@ Helsingor	4	1500	50.25%	Fredericia	0	1440	22.74%	27.02%
13	2017-05-07	40.8	@ Naestved	2	1410	41.23%	Fredericia	0	1419	30.63%	28.15%
14	2016-08-14	40.9	@ Nykobing	4	1447	41.54%	Skive	0	1454	30.33%	28.12%
15	2017-05-11	41.1	@ Vendsyssel	4	1504	48.31%	Skive	0	1460	24.33%	27.36%
16	2016-08-21	41.2	@ Helsingor	2	1499	50.73%	FC Roskilde	0	1435	22.35%	26.92%
17	2016-09-04	41.2	FC Roskilde	2	1423	37.02%	@ AB Gladsaxe	0	1368	34.68%	28.31%
18	2016-09-25	41.2	@ FC Roskilde	2	1417	41.23%	Fredericia	0	1426	30.62%	28.14%
19	2016-10-09	41.2	@ Skive	2	1411	40.64%	Fredericia	0	1424	31.18%	28.18%
20	2017-05-14	41.2	@ HB Koge	3	1468	43.75%	Naestved	0	1458	28.30%	27.94%
21	2016-09-18	41.3	@ Vendsyssel	5	1460	43.68%	FC Roskilde	0	1451	28.37%	27.95%
22	2017-04-09	41.6	Naestved	1	1408	42.78%	@ AB Gladsaxe	0	1312	29.19%	28.03%
23	2016-08-14	41.7	@ Hobro	4	1447	50.25%	AB Gladsaxe	1	1387	22.73%	27.02%
24	2016-08-29	41.8	@ Hobro	4	1484	44.56%	Vendsyssel	0	1469	27.58%	27.86%
25	2016-08-07	41.9	@ HB Koge	3	1481	44.24%	Nykobing	0	1468	27.86%	27.89%