2017-18 1st Division Season

198 games

Final

Promoted

Vejle BK

65 pts

Esbjerg · via playoff

Vendsyssel · via playoff

Relegated

Skive

18 pts

Brabrand · 34 pts

Biggest Overachiever

Vejle BK

10.10 points above expected

65 points · 54.90 expected points

Biggest Disappointment

Skive

14.47 points below expected

18 points · 32.47 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	Vejle BK Promoted	33	18	11	4	65	47	24	+23	54.90	+10.10
2	Esbjerg Promoted	33	18	6	9	60	61	36	+25	56.64	+3.36
3	Vendsyssel Promoted	33	15	11	7	56	59	42	+17	55.46	+0.54
4	Viborg	33	15	9	9	54	58	42	+16	56.70	-2.70
5	HB Koge	33	14	10	9	52	42	31	+11	49.33	+2.67
6	Fredericia	33	11	9	13	42	48	47	+1	46.60	-4.60
7	Nykobing	33	10	10	13	40	54	59	-5	41.80	-1.80
8	Thisted	33	10	10	13	40	42	53	-11	44.02	-4.02
9	Fremad Amager	33	11	7	15	40	27	42	-15	35.66	+4.34
10	FC Roskilde	33	10	8	15	38	41	49	-8	40.91	-2.91
11	Brabrand Relegated	33	8	10	15	34	34	61	-27	28.97	+5.03
12	Skive Relegated	33	3	9	21	18	33	60	-27	32.47	-14.47

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	Vejle BK	65	54.90	+10.10
2	Brabrand	34	28.97	+5.03
3	Fremad Amager	40	35.66	+4.34
4	Esbjerg	60	56.64	+3.36
5	HB Koge	52	49.33	+2.67

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Skive	18	32.47	-14.47
2	Fredericia	42	46.60	-4.60
3	Thisted	40	44.02	-4.02
4	FC Roskilde	38	40.91	-2.91
5	Viborg	54	56.70	-2.70

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	Vejle BK	6	Apr 24 – May 20	1 in 157
2	Fremad Amager	3	Aug 23 – Sep 3	1 in 123
3	Fredericia	5	Nov 12 – Mar 11	1 in 66
4	Brabrand	3	May 5 – May 16	1 in 59
5	FC Roskilde	3	Oct 1 – Oct 15	1 in 53

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Thisted	6	Apr 8 – May 12	1 in 136
2	Brabrand	6	Sep 3 – Oct 8	1 in 95
3	HB Koge	3	Oct 11 – Oct 22	1 in 48
4	Fredericia	4	May 5 – May 20	1 in 39
5	Fremad Amager	4	Jul 30 – Aug 20	1 in 37

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Brabrand	5	Mar 25 – Apr 15	1 in 124
2	Fredericia	9	Nov 6 – Apr 2	1 in 33
3	Fremad Amager	5	Mar 4 – Apr 2	1 in 31
4	Thisted	8	Aug 27 – Oct 15	1 in 28
5	Esbjerg	8	Sep 10 – Oct 29	1 in 24

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Vejle BK	6	Mar 2 – Apr 8	1 in 208
2	Thisted	14	Mar 2 – May 20	1 in 134
3	Skive	12	Oct 29 – Apr 8	1 in 34
4	Vendsyssel	4	Apr 2 – Apr 15	1 in 23
5	Nykobing	7	Nov 12 – Mar 25	1 in 22

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
Vejle BK	1626	65	+60	15	9.2	+5.8
Esbjerg	1634	60	+26	11	9.2	+1.8
Vendsyssel	1570	56	+1	8	9.3	-1.3
Viborg	1593	54	+5	6	8.0	-2.0
HB Koge	1533	52	+29	9	7.5	+1.5
Fredericia	1416	42	-73	1	6.6	-5.6
Fremad Amager	1412	40	+8	7	6.9	+0.1
Nykobing	1472	40	+5	7	7.6	-0.6
Thisted	1347	40	-59	1	5.1	-4.1
FC Roskilde	1404	38	-9	4	5.4	-1.4
Brabrand	1346	34	+55	11	4.2	+6.8
Skive	1277	18	-47	1	3.4	-2.4

Head-to-Head

Each cell shows a team's record in that matchup (row vs column, formatted W-D-L) with the model's expected points on the line below. Navy-tinted cells mean the team beat the model's expectations by more than one point in that matchup; gold-tinted cells mean they fell short by the same margin.

Beat expectations Fell short Within expectations

Team	BRA	ESB	FR	FRE	FA	HK	NYK	SKI	THI	VB	VEN	VIB
Brabrand	—	0-0-3 2.28	1-1-1 3.50	0-1-2 2.13	1-1-1 3.74	1-0-2 2.54	1-1-1 2.62	1-1-1 3.36	1-2-0 3.26	1-0-2 1.90	1-1-1 2.02	0-2-1 1.62
Esbjerg	3-0-0 6.02	—	2-1-0 5.51	2-0-1 4.70	2-0-1 5.63	0-2-1 4.88	1-1-1 5.73	3-0-0 6.00	2-0-1 5.37	1-0-2 4.66	1-0-2 3.79	1-2-0 4.07
FC Roskilde	1-1-1 4.72	0-1-2 2.74	—	1-2-0 3.64	2-0-1 4.65	1-0-2 3.56	1-0-2 4.52	2-0-1 4.94	1-1-1 4.14	0-2-1 2.45	0-1-2 3.00	1-0-2 2.35
Fredericia	2-1-0 6.15	1-0-2 3.50	0-2-1 4.57	—	1-0-2 5.38	0-1-2 3.56	3-0-0 4.48	2-1-0 5.24	1-1-1 3.85	0-0-3 2.76	0-2-1 3.51	1-1-1 3.07
Fremad Amager	1-1-1 4.47	1-0-2 2.61	1-0-2 3.55	2-0-1 2.85	—	0-0-3 3.66	1-1-1 3.07	3-0-0 4.60	0-1-2 3.90	1-1-1 1.97	0-2-1 2.55	1-1-1 2.80
HB Koge	2-0-1 5.72	1-2-0 3.33	2-0-1 4.66	2-1-0 4.65	3-0-0 4.56	—	1-1-1 5.13	0-2-1 5.81	2-0-1 4.59	0-2-1 4.05	0-1-2 4.13	1-1-1 3.88
Nykobing	1-1-1 5.62	1-1-1 2.51	2-0-1 3.67	0-0-3 3.72	1-1-1 5.15	1-1-1 3.09	—	2-1-0 5.22	1-1-1 3.61	0-1-2 2.89	0-2-1 2.53	1-1-1 3.31
Skive	1-1-1 4.85	0-0-3 2.28	1-0-2 3.27	0-1-2 2.98	0-0-3 3.61	1-2-0 2.45	0-1-2 3.00	—	0-1-2 2.91	0-2-1 2.28	0-1-2 2.52	0-0-3 2.15
Thisted	0-2-1 4.99	1-0-2 2.87	1-1-1 4.07	1-1-1 4.35	2-1-0 4.34	1-0-2 3.61	1-1-1 4.60	2-1-0 5.31	—	0-2-1 3.07	0-0-3 3.24	1-1-1 3.39
Vejle BK	2-0-1 6.40	2-0-1 3.56	1-2-0 5.79	3-0-0 5.47	1-1-1 6.31	1-2-0 4.15	2-1-0 5.33	1-2-0 6.00	1-2-0 5.16	—	2-1-0 3.62	2-0-1 3.68
Vendsyssel	1-1-1 6.27	2-0-1 4.42	2-1-0 5.21	1-2-0 4.69	1-2-0 5.70	2-1-0 4.06	1-2-0 5.71	2-1-0 5.72	3-0-0 4.96	0-1-2 4.58	—	0-0-3 4.56
Viborg	1-2-0 6.72	0-2-1 4.13	2-0-1 5.91	1-1-1 5.14	1-1-1 5.44	1-1-1 4.31	1-1-1 4.91	3-0-0 6.13	1-1-1 4.81	1-0-2 4.52	3-0-0 3.63	—

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	+7.9
Allowed	0.72	-9.5
Differential	0.89	+6.7

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%	8.08%	6.06%	3.03%	1.26%	0.25%	28.28%
1	8.08%	10.61%	6.31%	5.05%	0.76%	0.25%	31.06%
2	6.06%	6.31%	4.55%	3.03%	1.01%	0.51%	21.46%
3	3.03%	5.05%	3.03%	2.53%	0.51%	—	14.14%
4	1.26%	0.76%	1.01%	0.51%	0.51%	—	4.04%
5+	0.25%	0.25%	0.51%	—	—	—	1.01%
Total	28.28%	31.06%	21.46%	14.14%	4.04%	1.01%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.38	1.38	+0.00
SD	1.21	1.21	1.67
CV	0.88	0.88	—
Max	6	6	+6
Min	0	0	-6

Games Played: 198

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	6.06%	6.06%	12.12%	6.06%	—	33.33%
1	9.09%	18.18%	6.06%	3.03%	—	3.03%	39.39%
2	—	12.12%	6.06%	3.03%	—	—	21.21%
3	—	—	—	3.03%	—	—	3.03%
4	—	—	—	3.03%	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	12.12%	36.36%	18.18%	24.24%	6.06%	3.03%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.03	1.85	-0.82
SD	0.98	1.28	1.65
CV	0.95	0.69	—
Max	4	5	+1
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	12.12%	6.06%	—	3.03%	—	—	21.21%
1	6.06%	3.03%	6.06%	3.03%	—	—	18.18%
2	12.12%	9.09%	3.03%	3.03%	6.06%	—	33.33%
3	6.06%	9.09%	—	—	—	—	15.15%
4	6.06%	—	—	—	—	—	6.06%
5+	—	—	6.06%	—	—	—	6.06%
Total	42.42%	27.27%	15.15%	9.09%	6.06%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.85	1.09	+0.76
SD	1.42	1.23	1.84
CV	0.77	1.13	—
Max	5	4	+4
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	9.09%	9.09%	3.03%	3.03%	—	30.30%
1	6.06%	12.12%	9.09%	3.03%	—	—	30.30%
2	9.09%	3.03%	6.06%	6.06%	—	—	24.24%
3	—	9.09%	3.03%	—	3.03%	—	15.15%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	21.21%	33.33%	27.27%	12.12%	6.06%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.24	1.48	-0.24
SD	1.06	1.15	1.54
CV	0.85	0.77	—
Max	3	4	+2
Min	0	0	-4

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.45	1.42	+0.03
SD	1.37	1.00	1.55
CV	0.94	0.70	—
Max	5	3	+4
Min	0	0	-2

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	0.82	1.27	-0.45
SD	0.88	1.53	1.77
CV	1.08	1.20	—
Max	3	6	+3
Min	0	0	-6

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	18.18%	3.03%	6.06%	3.03%	—	—	30.30%
1	15.15%	9.09%	9.09%	6.06%	—	—	39.39%
2	—	3.03%	3.03%	—	—	—	6.06%
3	9.09%	9.09%	3.03%	—	—	—	21.21%
4	3.03%	—	—	—	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	45.45%	24.24%	21.21%	9.09%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.27	0.94	+0.33
SD	1.21	1.03	1.65
CV	0.95	1.10	—
Max	4	3	+4
Min	0	0	-3

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.64	1.79	-0.15
SD	1.27	1.36	1.60
CV	0.78	0.76	—
Max	4	5	+4
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	18.18%	12.12%	3.03%	3.03%	—	45.45%
1	3.03%	6.06%	9.09%	6.06%	—	—	24.24%
2	—	3.03%	6.06%	9.09%	—	—	18.18%
3	3.03%	—	—	3.03%	3.03%	—	9.09%
4	—	—	—	—	3.03%	—	3.03%
5+	—	—	—	—	—	—	—
Total	15.15%	27.27%	27.27%	21.21%	9.09%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.00	1.82	-0.82
SD	1.15	1.21	1.26
CV	1.15	0.67	—
Max	4	4	+3
Min	0	0	-4

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	9.09%	6.06%	6.06%	—	—	27.27%
1	—	12.12%	3.03%	9.09%	3.03%	—	27.27%
2	6.06%	18.18%	9.09%	3.03%	—	—	36.36%
3	—	3.03%	3.03%	3.03%	—	—	9.09%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	12.12%	42.42%	21.21%	21.21%	3.03%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.27	1.61	-0.33
SD	0.98	1.06	1.45
CV	0.77	0.66	—
Max	3	4	+2
Min	0	0	-3

Games Played: 33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	12.12%	6.06%	3.03%	—	—	—	21.21%
1	15.15%	18.18%	—	3.03%	—	—	36.36%
2	9.09%	15.15%	3.03%	—	—	—	27.27%
3	3.03%	6.06%	—	—	—	—	9.09%
4	—	6.06%	—	—	—	—	6.06%
5+	—	—	—	—	—	—	—
Total	39.39%	51.52%	6.06%	3.03%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.42	0.73	+0.70
SD	1.12	0.72	1.26
CV	0.79	0.99	—
Max	4	3	+3
Min	0	0	-2

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.79	1.27	+0.52
SD	1.17	1.13	1.54
CV	0.65	0.88	—
Max	4	4	+3
Min	0	0	-3

Games Played: 33

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.76	1.27	+0.48
SD	1.48	1.28	1.94
CV	0.84	1.01	—
Max	6	4	+6
Min	0	0	-3

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
Esbjerg	1641	60	56.64	+3.36	70.0%	35	43	53	57	61	67	75
Vejle BK	1626	65	54.90	+10.10	94.0%	39	42	50	55	60	66	74
Viborg	1593	54	56.70	-2.70	40.0%	40	45	52	56	61	68	73
Vendsyssel	1588	56	55.46	+0.54	55.0%	38	43	51	55	60	67	72
HB Koge	1533	52	49.33	+2.67	63.0%	31	37	44	49	54	59	68
Nykobing	1472	40	41.80	-1.80	40.0%	26	29	37	41	46	52	56
Fredericia	1416	42	46.60	-4.60	28.0%	32	36	42	47	50	59	64
Fremad Amager	1412	40	35.66	+4.34	78.0%	21	25	31	35	40	46	56
FC Roskilde	1404	38	40.91	-2.91	32.0%	22	28	36	41	45	54	59
Thisted	1347	40	44.02	-4.02	31.0%	25	30	39	44	49	56	67
Brabrand	1346	34	28.97	+5.03	80.0%	19	20	24	28	33	39	49
Skive	1277	18	32.47	-14.47	2.0%	15	22	28	32	37	42	49

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

+2.53%

No Edge

37.37%27.78%34.85%

Elo Value

Home Edge: 8.78 Elo pts.

252 Elo

0.004 goals per Elo point

0800

Scoring Tilt

Expected

+0.07 goals

Neutral

-2+0.03+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

4.4

Wide Open

123410

Champion Preseason Odds

14%

Vejle BK, 4th of 12

LongshotFavorite

Title Margin

Expected

0.15/gm

Comfortable

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 5.55 * Some Luck: 5.55 to 8.33 * Lucky: 8.33 to 11.1 * Wild Swing: 11.1 and up.
Average Finish Error: Average gap between where each team was projected to finish and where they actually finished in the table.
Pinpoint: under 1.31 * Close: 1.31 to 1.96 * Off: 1.96 to 2.61 * Way Off: 2.61 and up.
Biggest Overachiever: The team that finished highest inside its own range of simulated outcomes. The gold line is where the top team in a league of 12 typically lands.
Biggest Underachiever: The team that finished lowest inside its own range of simulated outcomes. The gold line is where the bottom team in a league of 12 typically lands.
Season Outliers: Number of teams that finished above the 95th or below the 5th percentile of their own simulated range. Even a well-calibrated model expects about 10% of teams in the extremes.
Minimal Outliers: under 12 * As Expected: 12 to 19.2 * Several Outliers: 19.2 to 26.4 * Many Outliers: 26.4 and up.
Unexpected Relegations: Number of teams that were actually relegated but were not in the model's projected bottom field of the same size. The gold line is how many the model expected to miss on average.
As Expected: under 0.72 * A Surprise: 0.72 to 1.15 * Several Surprises: 1.15 to 1.58 * Many Surprises: 1.58 and up.

Luck Spread

Expected

5.98 points

Some Luck

06.9417

Average Finish Error

Expected

1.00

Pinpoint

01.634

Biggest Overachiever

Expected 95.83%

94.00%

Vejle BK

50100

Biggest Underachiever

Expected 4.17%

2.00%

Skive

050

Season Outliers

Expected

1 of 12

Minimal Outliers

01.26

Unexpected Relegations

Expected

0 of 2

As Expected

00.72

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

0.15

Even

00.130.20.5

Noll-Scully

Elo SD: 120.08

1.75

Moderate Separation

0.751.51.82.153

Interquartile Edge

74%

Clear Edge

50%63.5%74.5%100%

Best vs. Worst

Baseline

89%

Clear Edge

50%92%100%

Close Games

Expected

64%

Frequent

0%63%100%

Blowouts

Expected

12%

Rare

0%13%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

00.612

Matchup Imbalance

0.36

Slight Separation

00.340.420.5

Strangeness

Expected

0.80

Very Predictable

01.002

Repeatability

0.78

Near-Lock

00.380.570.71

Upset Rate

Expected

26%

Very Upset-Prone

0%24%50%

Clear Favorite Upset Rate

Expected

28%

Very Shaky

0%19%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

0.01

Miscalibrated

0.010.050.10.51

Calibration slope

Ideal

0.79

Overconfident

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.135

Near Noise Ceiling

00.1200.3

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
Vejle BK	14.00%	23.00%	18.00%	17.00%	11.00%	10.00%	4.00%	2.00%	1.00%	—	—	—
Esbjerg	28.00%	26.00%	19.00%	10.00%	5.00%	3.00%	3.00%	4.00%	1.00%	—	—	1.00%
Vendsyssel	25.00%	16.00%	15.00%	16.00%	11.00%	10.00%	2.00%	2.00%	2.00%	1.00%	—	—
Viborg	25.00%	18.00%	18.00%	20.00%	9.00%	3.00%	3.00%	3.00%	1.00%	—	—	—
HB Koge	4.00%	11.00%	11.00%	11.00%	21.00%	13.00%	11.00%	9.00%	6.00%	2.00%	1.00%	—
Fredericia	1.00%	4.00%	7.00%	10.00%	15.00%	18.00%	20.00%	12.00%	7.00%	4.00%	2.00%	—
Nykobing	—	—	—	4.00%	11.00%	16.00%	13.00%	13.00%	23.00%	10.00%	8.00%	2.00%
Thisted	3.00%	—	6.00%	6.00%	11.00%	13.00%	18.00%	16.00%	12.00%	9.00%	2.00%	4.00%
Fremad Amager	—	—	2.00%	1.00%	1.00%	3.00%	3.00%	12.00%	18.00%	26.00%	21.00%	13.00%
FC Roskilde	—	2.00%	4.00%	4.00%	2.00%	10.00%	20.00%	16.00%	16.00%	8.00%	11.00%	7.00%
Brabrand	—	—	—	—	2.00%	—	—	3.00%	4.00%	16.00%	26.00%	49.00%
Skive	—	—	—	1.00%	1.00%	1.00%	3.00%	8.00%	9.00%	24.00%	29.00%	24.00%

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
Esbjerg	28.00%	45.00%	26.00%	1.00%
Vendsyssel	25.00%	31.00%	44.00%	—
Viborg	25.00%	36.00%	39.00%	—
Vejle BK	14.00%	41.00%	45.00%	—
HB Koge	4.00%	22.00%	73.00%	1.00%
Fredericia	1.00%	11.00%	86.00%	2.00%
Thisted	3.00%	6.00%	85.00%	6.00%
Nykobing	—	—	90.00%	10.00%
FC Roskilde	—	6.00%	76.00%	18.00%
Fremad Amager	—	2.00%	64.00%	34.00%
Skive	—	—	47.00%	53.00%
Brabrand	—	—	25.00%	75.00%

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
2017-07-27	Fredericia	W 2-1	49.6	1513	1445	54.09%	25.77%	20.13%	+0.31	+7.9	3
2017-07-27	@ Esbjerg	L 1-2	49.6	1445	1513	20.13%	25.77%	54.09%	-0.31	-7.9	0
2017-07-30	Fremad Amager	W 2-0	40.6	1495	1452	51.23%	26.19%	22.58%	+0.21	+17.5	3
2017-07-30	@ Vendsyssel	L 0-2	40.6	1452	1495	22.58%	26.19%	51.23%	-0.21	-17.5	0
2017-07-30	Skive	W 3-2	54.2	1466	1439	49.31%	26.41%	24.28%	+0.14	+8.8	3
2017-07-30	@ Nykobing	L 2-3	54.2	1439	1466	24.28%	26.41%	49.31%	-0.14	-8.8	0
2017-07-30	Vejle BK	L 1-3	53.6	1478	1471	46.79%	26.65%	26.56%	+0.06	-26.7	0
2017-07-30	@ HB Koge	W 3-1	53.6	1471	1478	26.56%	26.65%	46.79%	-0.06	+26.7	3
2017-07-30	Viborg	W 2-1	57.1	1436	1540	31.52%	26.96%	41.52%	-0.38	+14.0	3
2017-07-30	@ Thisted	L 1-2	57.1	1540	1436	41.52%	26.96%	31.52%	+0.38	-14.0	0
2017-08-01	FC Roskilde	D 1-1	58.8	1428	1466	40.86%	26.98%	32.16%	-0.11	-0.6	1
2017-08-01	@ Brabrand	D 1-1	58.8	1466	1428	32.16%	26.98%	40.86%	+0.11	+0.6	1
2017-08-06	Brabrand	L 3-4	62.1	1430	1428	46.22%	26.70%	27.08%	+0.04	-14.1	0
2017-08-06	@ Skive	W 4-3	62.1	1428	1430	27.08%	26.70%	46.22%	-0.04	+14.1	4
2017-08-06	Esbjerg	L 0-2	51.7	1526	1521	46.54%	26.67%	26.79%	+0.05	-30.7	0
2017-08-06	@ Viborg	W 2-0	51.7	1521	1526	26.79%	26.67%	46.54%	-0.05	+30.7	6
2017-08-06	HB Koge	L 1-2	54.5	1434	1452	43.57%	26.87%	29.56%	-0.04	-14.6	0
2017-08-06	@ Fremad Amager	W 2-1	54.5	1452	1434	29.56%	26.87%	43.57%	+0.04	+14.6	3
2017-08-06	Nykobing	W 4-1	45.1	1498	1475	48.77%	26.47%	24.76%	+0.13	+23.1	6
2017-08-06	@ Vejle BK	L 1-4	45.1	1475	1498	24.76%	26.47%	48.77%	-0.13	-23.1	3
2017-08-06	Thisted	L 2-3	61.7	1467	1450	48.02%	26.54%	25.44%	+0.10	-15.0	1
2017-08-06	@ FC Roskilde	W 3-2	61.7	1450	1467	25.44%	26.54%	48.02%	-0.10	+15.0	6
2017-08-06	Vendsyssel	D 3-3	70.0	1437	1512	35.49%	27.04%	37.47%	-0.26	+0.1	1
2017-08-06	@ Fredericia	D 3-3	70.0	1512	1437	37.47%	27.04%	35.49%	+0.26	-0.1	4
2017-08-13	Fredericia	L 1-3	52.7	1465	1437	49.39%	26.41%	24.21%	+0.15	-28.0	6
2017-08-13	@ Thisted	W 3-1	52.7	1437	1465	24.21%	26.41%	49.39%	-0.15	+28.0	4
2017-08-13	Fremad Amager	W 1-0	42.7	1442	1419	48.72%	26.48%	24.81%	+0.12	+10.0	7
2017-08-13	@ Brabrand	L 0-1	42.7	1419	1442	24.81%	26.48%	48.72%	-0.12	-10.0	0
2017-08-13	Skive	W 3-1	43.8	1452	1416	50.30%	26.30%	23.40%	+0.18	+15.6	4
2017-08-13	@ FC Roskilde	L 1-3	43.8	1416	1452	23.40%	26.30%	50.30%	-0.18	-15.6	0
2017-08-13	Vejle BK	L 1-2	62.9	1552	1521	49.73%	26.37%	23.90%	+0.16	-16.2	6
2017-08-13	@ Esbjerg	W 2-1	62.9	1521	1552	23.90%	26.37%	49.73%	-0.16	+16.2	9
2017-08-13	Vendsyssel	D 0-0	57.3	1466	1512	39.69%	27.01%	33.30%	-0.15	-0.5	4
2017-08-13	@ HB Koge	D 0-0	57.3	1512	1466	33.30%	27.01%	39.69%	+0.15	+0.5	5
2017-08-13	Viborg	W 4-2	53.4	1452	1496	40.04%	27.00%	32.95%	-0.14	+18.3	6
2017-08-13	@ Nykobing	L 2-4	53.4	1496	1452	32.95%	27.00%	40.04%	+0.14	-18.3	0
2017-08-20	Brabrand	W 3-0	38.5	1513	1452	53.23%	25.91%	20.86%	+0.28	+23.8	8
2017-08-20	@ Vendsyssel	L 0-3	38.5	1452	1513	20.86%	25.91%	53.23%	-0.28	-23.7	7
2017-08-20	FC Roskilde	L 1-2	56.6	1465	1467	45.58%	26.74%	27.68%	+0.03	-15.1	4
2017-08-20	@ Fredericia	W 2-1	56.6	1467	1465	27.68%	26.74%	45.58%	-0.03	+15.1	7
2017-08-20	Nykobing	W 3-1	47.5	1466	1470	45.29%	26.76%	27.95%	+0.02	+18.0	7
2017-08-20	@ HB Koge	L 1-3	47.5	1470	1466	27.95%	26.76%	45.29%	-0.02	-18.0	6
2017-08-20	Thisted	L 1-2	61.1	1536	1437	57.30%	25.18%	17.53%	+0.43	-18.4	6
2017-08-20	@ Esbjerg	W 2-1	61.1	1437	1536	17.53%	25.18%	57.30%	-0.43	+18.4	9
2017-08-20	Vejle BK	D 2-2	65.8	1401	1538	27.45%	26.73%	45.83%	-0.51	+1.0	1
2017-08-20	@ Skive	D 2-2	65.8	1538	1401	45.83%	26.73%	27.45%	+0.51	-1.0	10
2017-08-20	Viborg	L 0-6	42.7	1409	1477	36.58%	27.05%	36.37%	-0.23	-70.7	0
2017-08-20	@ Fremad Amager	W 6-0	42.7	1477	1409	36.37%	27.05%	36.58%	+0.23	+70.7	3
2017-08-23	Brabrand	W 2-0	39.2	1537	1428	58.24%	24.97%	16.79%	+0.46	+13.5	13
2017-08-23	@ Vejle BK	L 0-2	39.2	1428	1537	16.79%	24.97%	58.24%	-0.46	-13.5	7
2017-08-23	Fredericia	L 2-3	67.0	1548	1450	57.24%	25.19%	17.57%	+0.42	-17.5	3
2017-08-23	@ Viborg	W 3-2	67.0	1450	1548	17.57%	25.19%	57.24%	-0.42	+17.4	7
2017-08-23	Fremad Amager	L 0-1	50.6	1452	1339	58.77%	24.85%	16.38%	+0.49	-20.0	6
2017-08-23	@ Nykobing	W 1-0	50.6	1339	1452	16.38%	24.85%	58.77%	-0.49	+20.0	3
2017-08-23	HB Koge	L 0-3	46.2	1482	1484	45.72%	26.73%	27.55%	+0.03	-44.0	7
2017-08-23	@ FC Roskilde	W 3-0	46.2	1484	1482	27.55%	26.73%	45.72%	-0.03	+44.0	10
2017-08-23	Vendsyssel	L 1-2	55.6	1455	1537	34.69%	27.04%	38.28%	-0.29	-12.2	9
2017-08-23	@ Thisted	W 2-1	55.6	1537	1455	38.28%	27.04%	34.69%	+0.29	+12.2	11
2017-08-24	Esbjerg	L 1-2	51.5	1402	1517	30.06%	26.89%	43.05%	-0.42	-11.0	1
2017-08-24	@ Skive	W 2-1	51.5	1517	1402	43.05%	26.89%	30.06%	+0.42	+11.0	9
2017-08-27	FC Roskilde	W 2-1	49.4	1550	1438	58.56%	24.90%	16.54%	+0.48	+6.7	16
2017-08-27	@ Vejle BK	L 1-2	49.4	1438	1550	16.54%	24.90%	58.56%	-0.48	-6.7	7
2017-08-27	Fremad Amager	L 2-3	61.6	1467	1359	58.26%	24.97%	16.77%	+0.46	-17.7	7
2017-08-27	@ Fredericia	W 3-2	61.6	1359	1467	16.77%	24.97%	58.26%	-0.46	+17.7	6
2017-08-27	Nykobing	L 1-3	56.7	1528	1432	56.99%	25.24%	17.77%	+0.41	-31.7	9
2017-08-27	@ Esbjerg	W 3-1	56.7	1432	1528	17.77%	25.24%	56.99%	-0.41	+31.7	9
2017-08-27	Skive	D 0-0	55.9	1528	1391	61.00%	24.30%	14.70%	+0.58	-4.1	11
2017-08-27	@ HB Koge	D 0-0	55.9	1391	1528	14.70%	24.30%	61.00%	-0.58	+4.1	2
2017-08-27	Thisted	D 2-2	63.2	1415	1443	42.14%	26.93%	30.93%	-0.08	-0.6	8
2017-08-27	@ Brabrand	D 2-2	63.2	1443	1415	30.93%	26.93%	42.14%	+0.08	+0.6	10
2017-08-28	Viborg	L 1-2	62.7	1549	1531	48.18%	26.53%	25.29%	+0.11	-15.8	11
2017-08-28	@ Vendsyssel	W 2-1	62.7	1531	1549	25.29%	26.53%	48.18%	-0.11	+15.8	6
2017-09-02	Vendsyssel	L 0-2	44.3	1432	1533	31.96%	26.97%	41.06%	-0.37	-23.0	7
2017-09-02	@ FC Roskilde	W 2-0	44.3	1533	1432	41.06%	26.97%	31.96%	+0.37	+23.0	14
2017-09-03	Brabrand	W 1-0	42.2	1464	1414	52.00%	26.09%	21.91%	+0.23	+9.0	12
2017-09-03	@ Nykobing	L 0-1	42.2	1414	1464	21.91%	26.09%	52.00%	-0.23	-9.0	8
2017-09-03	Esbjerg	W 1-0	48.8	1376	1497	29.49%	26.86%	43.65%	-0.44	+15.5	9
2017-09-03	@ Fremad Amager	L 0-1	48.8	1497	1376	43.65%	26.86%	29.49%	+0.44	-15.5	9
2017-09-03	HB Koge	W 2-0	46.3	1444	1524	34.88%	27.04%	38.09%	-0.28	+26.2	13
2017-09-03	@ Thisted	L 0-2	46.3	1524	1444	38.09%	27.04%	34.88%	+0.28	-26.2	11
2017-09-10	FC Roskilde	D 2-2	64.5	1481	1409	54.51%	25.70%	19.79%	+0.32	-2.0	10
2017-09-10	@ Esbjerg	D 2-2	64.5	1409	1481	19.79%	25.70%	54.51%	-0.32	+2.0	8
2017-09-10	HB Koge	L 1-3	48.0	1405	1497	33.17%	27.01%	39.82%	-0.33	-20.5	8
2017-09-10	@ Brabrand	W 3-1	48.0	1497	1405	39.82%	27.01%	33.17%	+0.33	+20.5	14
2017-09-10	Nykobing	W 2-0	42.3	1449	1473	42.76%	26.91%	30.33%	-0.06	+22.1	10
2017-09-10	@ Fredericia	L 0-2	42.3	1473	1449	30.33%	26.91%	42.76%	+0.06	-22.1	12
2017-09-10	Skive	W 3-2	51.5	1547	1395	62.33%	23.92%	13.74%	+0.64	+5.3	9
2017-09-10	@ Viborg	L 2-3	51.5	1395	1547	13.74%	23.92%	62.33%	-0.64	-5.3	2
2017-09-10	Thisted	L 0-2	41.8	1392	1470	35.15%	27.04%	37.81%	-0.27	-24.7	9
2017-09-10	@ Fremad Amager	W 2-0	41.8	1470	1392	37.81%	27.04%	35.15%	+0.27	+24.7	16
2017-09-10	Vejle BK	D 1-1	66.6	1556	1557	45.82%	26.73%	27.46%	+0.03	-1.3	15
2017-09-10	@ Vendsyssel	D 1-1	66.6	1557	1556	27.46%	26.73%	45.82%	-0.03	+1.3	17
2017-09-13	Fredericia	D 2-2	63.2	1389	1472	34.57%	27.03%	38.40%	-0.29	+0.2	3
2017-09-13	@ Skive	D 2-2	63.2	1472	1389	38.40%	27.03%	34.57%	+0.29	-0.2	11
2017-09-13	Vejle BK	W 2-0	48.3	1552	1558	45.09%	26.78%	28.13%	+0.01	+20.9	12
2017-09-13	@ Viborg	L 0-2	48.3	1558	1552	28.13%	26.78%	45.09%	-0.01	-20.9	17
2017-09-17	Esbjerg	L 0-2	41.2	1385	1479	32.85%	27.00%	40.15%	-0.34	-23.5	8
2017-09-17	@ Brabrand	W 2-0	41.2	1479	1385	40.15%	27.00%	32.85%	+0.34	+23.5	13
2017-09-17	Fredericia	W 2-0	42.1	1537	1471	53.76%	25.83%	20.41%	+0.29	+16.0	20
2017-09-17	@ Vejle BK	L 0-2	42.1	1471	1537	20.41%	25.83%	53.76%	-0.29	-16.0	11
2017-09-17	Fremad Amager	L 0-1	48.5	1411	1367	51.25%	26.19%	22.56%	+0.21	-17.7	8
2017-09-17	@ FC Roskilde	W 1-0	48.5	1367	1411	22.56%	26.19%	51.25%	-0.21	+17.7	12
2017-09-17	Thisted	L 1-2	55.5	1451	1495	40.04%	27.00%	32.95%	-0.14	-13.6	12
2017-09-17	@ Nykobing	W 2-1	55.5	1495	1451	32.95%	27.00%	40.04%	+0.14	+13.6	19
2017-09-17	Vendsyssel	D 3-3	70.0	1390	1555	24.24%	26.41%	49.35%	-0.62	+1.2	4
2017-09-17	@ Skive	D 3-3	70.0	1555	1390	49.35%	26.41%	24.24%	+0.62	-1.2	16
2017-09-17	Viborg	W 3-0	47.5	1518	1573	38.46%	27.03%	34.51%	-0.18	+35.4	17
2017-09-17	@ HB Koge	L 0-3	47.5	1573	1518	34.51%	27.03%	38.46%	+0.18	-35.4	12
2017-09-24	Brabrand	W 5-1	36.5	1455	1361	56.82%	25.27%	17.90%	+0.41	+22.6	14
2017-09-24	@ Fredericia	L 1-5	36.5	1361	1455	17.90%	25.27%	56.82%	-0.41	-22.6	8
2017-09-24	FC Roskilde	W 4-3	54.0	1537	1393	61.65%	24.12%	14.23%	+0.61	+5.3	15
2017-09-24	@ Viborg	L 3-4	54.0	1393	1537	14.23%	24.12%	61.65%	-0.61	-5.3	8
2017-09-24	HB Koge	D 1-1	64.6	1503	1553	39.06%	27.02%	33.92%	-0.17	-0.4	14
2017-09-24	@ Esbjerg	D 1-1	64.6	1553	1503	33.92%	27.02%	39.06%	+0.17	+0.4	18
2017-09-24	Nykobing	W 4-2	49.3	1554	1437	59.01%	24.80%	16.20%	+0.49	+10.1	19
2017-09-24	@ Vendsyssel	L 2-4	49.3	1437	1554	16.20%	24.80%	59.01%	-0.49	-10.1	12
2017-09-24	Skive	W 1-0	41.7	1385	1391	45.11%	26.77%	28.11%	+0.01	+11.1	15
2017-09-24	@ Fremad Amager	L 0-1	41.7	1391	1385	28.11%	26.77%	45.11%	-0.01	-11.1	4
2017-09-24	Vejle BK	D 1-1	64.8	1508	1553	39.85%	27.01%	33.14%	-0.14	-0.5	20
2017-09-24	@ Thisted	D 1-1	64.8	1553	1508	33.14%	27.01%	39.85%	+0.14	+0.5	21
2017-10-01	Brabrand	W 4-0	31.4	1543	1338	66.74%	22.45%	10.81%	+0.84	+16.6	18
2017-10-01	@ Viborg	L 0-4	31.4	1338	1543	10.81%	22.45%	66.74%	-0.84	-16.6	8
2017-10-01	Fredericia	D 0-0	59.7	1554	1478	54.86%	25.64%	19.50%	+0.33	-3.1	19
2017-10-01	@ HB Koge	D 0-0	59.7	1478	1554	19.50%	25.64%	54.86%	-0.33	+3.1	15
2017-10-01	Fremad Amager	W 1-0	41.4	1554	1396	62.86%	23.76%	13.37%	+0.66	+5.8	24
2017-10-01	@ Vejle BK	L 0-1	41.4	1396	1554	13.37%	23.76%	62.86%	-0.66	-5.8	15
2017-10-01	Nykobing	W 2-0	39.8	1388	1427	40.59%	26.99%	32.42%	-0.12	+23.3	11
2017-10-01	@ FC Roskilde	L 0-2	39.8	1427	1388	32.42%	26.99%	40.59%	+0.12	-23.3	12
2017-10-01	Thisted	L 1-2	50.0	1380	1508	28.53%	26.80%	44.67%	-0.47	-10.6	4
2017-10-01	@ Skive	W 2-1	50.0	1508	1380	44.67%	26.80%	28.53%	+0.47	+10.6	23
2017-10-02	Esbjerg	L 1-3	59.6	1564	1502	53.27%	25.90%	20.83%	+0.28	-29.9	19
2017-10-02	@ Vendsyssel	W 3-1	59.6	1502	1564	20.83%	25.90%	53.27%	-0.28	+29.9	17
2017-10-08	Skive	L 0-3	37.5	1322	1369	39.51%	27.02%	33.47%	-0.15	-39.2	8
2017-10-08	@ Brabrand	W 3-0	37.5	1369	1322	33.47%	27.02%	39.51%	+0.15	+39.2	7
2017-10-08	Thisted	L 1-3	53.8	1481	1518	40.91%	26.98%	32.11%	-0.11	-24.0	15
2017-10-08	@ Fredericia	W 3-1	53.8	1518	1481	32.11%	26.98%	40.91%	+0.11	+24.0	26
2017-10-10	Vendsyssel	D 1-1	59.9	1390	1534	26.65%	26.66%	46.69%	-0.53	+1.5	16
2017-10-10	@ Fremad Amager	D 1-1	59.9	1534	1390	46.69%	26.66%	26.65%	+0.53	-1.5	20
2017-10-11	FC Roskilde	L 1-3	57.7	1551	1411	61.23%	24.23%	14.54%	+0.59	-33.8	19
2017-10-11	@ HB Koge	W 3-1	57.7	1411	1551	14.54%	24.23%	61.23%	-0.59	+33.8	14
2017-10-15	Brabrand	D 2-2	64.2	1542	1283	70.87%	20.73%	8.40%	+1.06	-3.8	27
2017-10-15	@ Thisted	D 2-2	64.2	1283	1542	8.40%	20.73%	70.87%	-1.06	+3.8	9
2017-10-15	Esbjerg	L 1-3	59.5	1559	1532	49.29%	26.42%	24.30%	+0.14	-27.9	24
2017-10-15	@ Vejle BK	W 3-1	59.5	1532	1559	24.30%	26.42%	49.29%	-0.14	+27.9	20
2017-10-15	FC Roskilde	L 0-2	43.3	1408	1445	41.03%	26.97%	32.00%	-0.11	-27.8	7
2017-10-15	@ Skive	W 2-0	43.3	1445	1408	32.00%	26.97%	41.03%	+0.11	+27.8	17
2017-10-15	Fremad Amager	D 0-0	57.3	1559	1392	63.72%	23.50%	12.78%	+0.70	-4.6	19
2017-10-15	@ Viborg	D 0-0	57.3	1392	1559	12.78%	23.50%	63.72%	-0.70	+4.6	17
2017-10-15	HB Koge	W 2-0	45.4	1532	1517	47.86%	26.56%	25.58%	+0.10	+19.4	23
2017-10-15	@ Vendsyssel	L 0-2	45.4	1517	1532	25.58%	26.56%	47.86%	-0.10	-19.4	19
2017-10-22	Fredericia	D 1-1	60.1	1473	1457	47.86%	26.56%	25.58%	+0.10	-1.7	18
2017-10-22	@ FC Roskilde	D 1-1	60.1	1457	1473	25.58%	26.56%	47.86%	-0.10	+1.7	16
2017-10-22	Fremad Amager	W 5-2	42.8	1560	1396	63.41%	23.60%	13.00%	+0.68	+11.2	23
2017-10-22	@ Esbjerg	L 2-5	42.8	1396	1560	13.00%	23.60%	63.41%	-0.68	-11.2	17
2017-10-22	HB Koge	W 2-1	54.2	1381	1497	29.93%	26.89%	43.18%	-0.43	+14.5	10
2017-10-22	@ Skive	L 1-2	54.2	1497	1381	43.18%	26.89%	29.93%	+0.43	-14.5	19
2017-10-22	Nykobing	L 0-1	55.5	1538	1404	60.75%	24.36%	14.89%	+0.57	-20.6	27
2017-10-22	@ Thisted	W 1-0	55.5	1404	1538	14.89%	24.36%	60.75%	-0.57	+20.6	15
2017-10-22	Vendsyssel	W 2-1	57.4	1286	1552	15.35%	24.52%	60.12%	-1.02	+19.2	12
2017-10-22	@ Brabrand	L 1-2	57.4	1552	1286	60.12%	24.52%	15.35%	+1.02	-19.2	23
2017-10-22	Viborg	W 3-1	53.7	1531	1555	42.84%	26.90%	30.26%	-0.06	+19.1	27
2017-10-22	@ Vejle BK	L 1-3	53.7	1555	1531	30.26%	26.90%	42.84%	+0.06	-19.1	19
2017-10-25	Vejle BK	D 1-1	61.7	1425	1551	28.78%	26.82%	44.40%	-0.46	+1.1	16
2017-10-25	@ Nykobing	D 1-1	61.7	1551	1425	44.40%	26.82%	28.78%	+0.46	-1.1	28
2017-10-25	Viborg	D 0-0	62.1	1571	1535	50.35%	26.30%	23.36%	+0.18	-2.3	24
2017-10-25	@ Esbjerg	D 0-0	62.1	1535	1571	23.36%	26.30%	50.35%	-0.18	+2.3	20
2017-10-29	Brabrand	W 1-0	36.1	1483	1306	64.54%	23.23%	12.23%	+0.74	+5.3	22
2017-10-29	@ HB Koge	L 0-1	36.1	1306	1483	12.23%	23.23%	64.54%	-0.74	-5.3	12
2017-10-29	Esbjerg	D 0-0	58.0	1426	1569	26.69%	26.66%	46.65%	-0.53	+1.6	17
2017-10-29	@ Nykobing	D 0-0	58.0	1569	1426	46.65%	26.66%	26.69%	+0.53	-1.6	25
2017-10-29	FC Roskilde	L 0-1	45.5	1385	1471	34.05%	27.03%	38.93%	-0.31	-12.8	17
2017-10-29	@ Fremad Amager	W 1-0	45.5	1471	1385	38.93%	27.03%	34.05%	+0.31	+12.8	21
2017-10-29	Skive	W 2-0	37.0	1532	1395	61.03%	24.29%	14.69%	+0.58	+11.9	26
2017-10-29	@ Vendsyssel	L 0-2	37.0	1395	1532	14.69%	24.29%	61.03%	-0.58	-11.9	10
2017-10-29	Thisted	D 2-2	70.2	1538	1518	48.39%	26.51%	25.10%	+0.11	-1.3	21
2017-10-29	@ Viborg	D 2-2	70.2	1518	1538	25.10%	26.51%	48.39%	-0.11	+1.3	28
2017-10-29	Vejle BK	L 0-1	50.5	1459	1549	33.38%	27.01%	39.61%	-0.32	-12.6	16
2017-10-29	@ Fredericia	W 1-0	50.5	1549	1459	39.61%	27.01%	33.38%	+0.32	+12.6	31
2017-11-05	FC Roskilde	W 3-2	57.7	1427	1484	38.24%	27.04%	34.72%	-0.19	+11.6	20
2017-11-05	@ Nykobing	L 2-3	57.7	1484	1427	34.72%	27.04%	38.24%	+0.19	-11.6	21
2017-11-05	Fremad Amager	W 4-0	33.1	1488	1372	59.00%	24.80%	16.20%	+0.49	+24.8	25
2017-11-05	@ HB Koge	L 0-4	33.1	1372	1488	16.20%	24.80%	59.00%	-0.49	-24.8	17
2017-11-05	Skive	W 2-1	45.6	1519	1383	60.90%	24.32%	14.78%	+0.57	+6.0	31
2017-11-05	@ Thisted	L 1-2	45.6	1383	1519	14.78%	24.32%	60.90%	-0.57	-6.0	10
2017-11-05	Vejle BK	L 1-2	44.7	1300	1562	15.60%	24.61%	59.79%	-1.00	-6.3	12
2017-11-05	@ Brabrand	W 2-1	44.7	1562	1300	59.79%	24.61%	15.60%	+1.00	+6.3	34
2017-11-05	Vendsyssel	L 2-4	63.9	1567	1544	48.80%	26.47%	24.73%	+0.13	-24.8	25
2017-11-05	@ Esbjerg	W 4-2	63.9	1544	1567	24.73%	26.47%	48.80%	-0.13	+24.8	29
2017-11-06	Viborg	D 2-2	67.4	1446	1536	33.43%	27.01%	39.55%	-0.32	+0.3	17
2017-11-06	@ Fredericia	D 2-2	67.4	1536	1446	39.55%	27.01%	33.43%	+0.32	-0.3	22
2017-11-12	Esbjerg	L 0-4	45.2	1472	1543	36.21%	27.05%	36.74%	-0.24	-48.0	21
2017-11-12	@ FC Roskilde	W 4-0	45.2	1543	1472	36.74%	27.05%	36.21%	+0.24	+48.0	28
2017-11-12	Fredericia	L 1-3	44.7	1347	1446	32.27%	26.98%	40.75%	-0.36	-20.1	17
2017-11-12	@ Fremad Amager	W 3-1	44.7	1446	1347	40.75%	26.98%	32.27%	+0.36	+20.1	20
2017-11-12	Nykobing	D 1-1	55.0	1294	1439	26.51%	26.65%	46.85%	-0.54	+1.5	13
2017-11-12	@ Brabrand	D 1-1	55.0	1439	1294	46.85%	26.65%	26.51%	+0.54	-1.5	21
2017-11-12	Viborg	L 1-3	45.7	1377	1536	24.91%	26.49%	48.60%	-0.59	-16.4	10
2017-11-12	@ Skive	W 3-1	45.7	1536	1377	48.60%	26.49%	24.91%	+0.59	+16.4	25
2017-11-13	Thisted	W 4-1	48.7	1569	1525	51.29%	26.18%	22.53%	+0.21	+21.4	32
2017-11-13	@ Vendsyssel	L 1-4	48.7	1525	1569	22.53%	26.18%	51.29%	-0.21	-21.4	31
2017-11-14	HB Koge	D 0-0	61.4	1568	1513	52.61%	26.00%	21.39%	+0.25	-2.7	35
2017-11-14	@ Vejle BK	D 0-0	61.4	1513	1568	21.39%	26.00%	52.61%	-0.25	+2.7	26
2017-11-15	Fredericia	L 2-3	59.6	1438	1466	42.05%	26.94%	31.01%	-0.08	-13.4	21
2017-11-15	@ Nykobing	W 3-2	59.6	1466	1438	31.01%	26.94%	42.05%	+0.08	+13.4	23
2017-11-19	Brabrand	W 4-0	29.6	1591	1296	73.28%	19.58%	7.15%	+1.20	+10.6	31
2017-11-19	@ Esbjerg	L 0-4	29.6	1296	1591	7.15%	19.58%	73.28%	-1.20	-10.6	13
2017-11-19	FC Roskilde	D 1-1	60.3	1504	1424	55.28%	25.57%	19.15%	+0.35	-2.8	32
2017-11-19	@ Thisted	D 1-1	60.3	1424	1504	19.15%	25.57%	55.28%	-0.35	+2.8	22
2017-11-19	HB Koge	D 2-2	65.8	1424	1516	33.27%	27.01%	39.72%	-0.33	+0.3	22
2017-11-19	@ Nykobing	D 2-2	65.8	1516	1424	39.72%	27.01%	33.27%	+0.33	-0.4	27
2017-11-19	Skive	W 3-2	49.2	1480	1361	59.30%	24.73%	15.97%	+0.51	+6.1	26
2017-11-19	@ Fredericia	L 2-3	49.2	1361	1480	15.97%	24.73%	59.30%	-0.51	-6.1	10
2017-11-19	Vejle BK	W 1-0	53.1	1327	1566	17.37%	25.14%	57.50%	-0.91	+19.6	20
2017-11-19	@ Fremad Amager	L 0-1	53.1	1566	1327	57.50%	25.14%	17.37%	+0.91	-19.6	35
2017-11-19	Vendsyssel	W 2-0	50.6	1553	1590	40.82%	26.98%	32.20%	-0.12	+23.2	28
2017-11-19	@ Viborg	L 0-2	50.6	1590	1553	32.20%	26.98%	40.82%	+0.12	-23.2	32
2017-11-26	Esbjerg	W 3-0	49.6	1515	1601	34.04%	27.03%	38.93%	-0.31	+38.7	30
2017-11-26	@ HB Koge	L 0-3	49.6	1601	1515	38.93%	27.03%	34.04%	+0.31	-38.7	31
2017-11-26	Fredericia	L 0-3	32.7	1285	1486	20.61%	25.86%	53.53%	-0.76	-23.5	13
2017-11-26	@ Brabrand	W 3-0	32.7	1486	1285	53.53%	25.86%	20.61%	+0.76	+23.5	29
2017-11-26	Fremad Amager	W 2-1	43.5	1501	1347	62.54%	23.86%	13.60%	+0.65	+5.5	35
2017-11-26	@ Thisted	L 1-2	43.5	1347	1501	13.60%	23.86%	62.54%	-0.65	-5.5	20
2017-11-26	Nykobing	D 4-4	66.9	1355	1424	36.32%	27.05%	36.63%	-0.24	+0.0	11
2017-11-26	@ Skive	D 4-4	66.9	1424	1355	36.63%	27.05%	36.32%	+0.24	-0.0	23
2017-11-26	Vendsyssel	W 4-1	51.8	1546	1567	43.10%	26.89%	30.01%	-0.05	+26.9	38
2017-11-26	@ Vejle BK	L 1-4	51.8	1567	1546	30.01%	26.89%	43.10%	+0.05	-26.9	32
2017-11-26	Viborg	W 1-0	54.4	1427	1576	26.06%	26.61%	47.34%	-0.55	+16.5	25
2017-11-26	@ FC Roskilde	L 0-1	54.4	1576	1427	47.34%	26.61%	26.06%	+0.55	-16.5	28
2018-03-02	Thisted	D 0-0	61.4	1573	1507	53.85%	25.81%	20.34%	+0.30	-2.9	39
2018-03-02	@ Vejle BK	D 0-0	61.4	1507	1573	20.34%	25.81%	53.85%	-0.30	+2.9	36
2018-03-04	Brabrand	W 2-1	41.8	1341	1262	55.30%	25.56%	19.13%	+0.35	+7.6	23
2018-03-04	@ Fremad Amager	L 1-2	41.8	1262	1341	19.13%	25.56%	55.30%	-0.35	-7.6	13
2018-03-04	FC Roskilde	W 2-0	40.2	1540	1443	57.09%	25.22%	17.69%	+0.42	+14.1	35
2018-03-04	@ Vendsyssel	L 0-2	40.2	1443	1540	17.69%	25.22%	57.09%	-0.42	-14.1	25
2018-03-04	Nykobing	W 3-1	44.6	1559	1424	60.78%	24.35%	14.86%	+0.57	+10.4	31
2018-03-04	@ Viborg	L 1-3	44.6	1424	1559	14.86%	24.35%	60.78%	-0.57	-10.4	23
2018-03-04	Skive	W 2-0	34.8	1562	1355	67.02%	22.34%	10.63%	+0.86	+8.6	34
2018-03-04	@ Esbjerg	L 0-2	34.8	1355	1562	10.63%	22.34%	67.02%	-0.86	-8.6	11
2018-03-11	Esbjerg	W 4-2	59.0	1510	1571	37.50%	27.04%	35.45%	-0.21	+19.3	32
2018-03-11	@ Fredericia	L 2-4	59.0	1571	1510	35.45%	27.04%	37.50%	+0.21	-19.3	34
2018-03-11	Fremad Amager	L 0-1	45.6	1346	1349	45.51%	26.75%	27.74%	+0.02	-16.0	11
2018-03-11	@ Skive	W 1-0	45.6	1349	1346	27.74%	26.75%	45.51%	-0.02	+16.0	26
2018-03-11	Thisted	W 3-2	59.3	1554	1509	51.37%	26.17%	22.46%	+0.21	+8.3	33
2018-03-11	@ HB Koge	L 2-3	59.3	1509	1554	22.46%	26.17%	51.37%	-0.21	-8.3	36
2018-03-11	Vejle BK	D 0-0	58.2	1429	1570	26.99%	26.69%	46.32%	-0.52	+1.6	26
2018-03-11	@ FC Roskilde	D 0-0	58.2	1570	1429	46.32%	26.69%	26.99%	+0.52	-1.6	40
2018-03-11	Viborg	D 0-0	53.5	1254	1570	12.18%	23.20%	64.62%	-1.22	+4.8	14
2018-03-11	@ Brabrand	D 0-0	53.5	1570	1254	64.62%	23.20%	12.18%	+1.22	-4.8	32
2018-03-16	Skive	D 0-0	56.2	1569	1330	69.35%	21.40%	9.25%	+0.98	-5.5	41
2018-03-16	@ Vejle BK	D 0-0	56.2	1330	1569	9.25%	21.40%	69.35%	-0.98	+5.5	12
2018-03-18	Brabrand	W 3-2	44.9	1431	1259	64.11%	23.37%	12.51%	+0.72	+4.8	29
2018-03-18	@ FC Roskilde	L 2-3	44.9	1259	1431	12.51%	23.37%	64.11%	-0.72	-4.8	14
2018-03-18	Esbjerg	L 0-3	47.5	1501	1552	39.05%	27.02%	33.93%	-0.17	-38.8	36
2018-03-18	@ Thisted	W 3-0	47.5	1552	1501	33.93%	27.02%	39.05%	+0.17	+38.8	37
2018-03-18	Fredericia	D 0-0	61.3	1555	1529	49.12%	26.43%	24.45%	+0.14	-2.1	36
2018-03-18	@ Vendsyssel	D 0-0	61.3	1529	1555	24.45%	26.43%	49.12%	-0.14	+2.1	33
2018-03-18	HB Koge	W 1-0	52.7	1565	1562	46.22%	26.70%	27.09%	+0.04	+10.8	35
2018-03-18	@ Viborg	L 0-1	52.7	1562	1565	27.09%	26.70%	46.22%	-0.04	-10.8	33
2018-03-18	Nykobing	D 0-0	51.3	1365	1414	39.28%	27.02%	33.70%	-0.16	-0.4	27
2018-03-18	@ Fremad Amager	D 0-0	51.3	1414	1365	33.70%	27.02%	39.28%	+0.16	+0.4	24
2018-03-25	Brabrand	D 1-1	53.9	1336	1254	55.50%	25.53%	18.97%	+0.36	-2.8	13
2018-03-25	@ Skive	D 1-1	53.9	1254	1336	18.97%	25.53%	55.50%	-0.36	+2.8	15
2018-03-25	Thisted	D 3-3	67.6	1414	1462	39.44%	27.02%	33.55%	-0.15	-0.3	25
2018-03-25	@ Nykobing	D 3-3	67.6	1462	1414	33.55%	27.02%	39.44%	+0.15	+0.3	37
2018-03-25	Vendsyssel	L 1-2	62.9	1552	1552	45.77%	26.73%	27.50%	+0.03	-15.2	33
2018-03-25	@ HB Koge	W 2-1	62.9	1552	1552	27.50%	26.73%	45.77%	-0.03	+15.2	39
2018-03-29	Esbjerg	W 3-2	64.8	1568	1591	42.86%	26.90%	30.24%	-0.06	+10.5	42
2018-03-29	@ Vendsyssel	L 2-3	64.8	1591	1568	30.24%	26.90%	42.86%	+0.06	-10.5	37
2018-03-29	Fredericia	D 1-1	62.3	1463	1531	36.54%	27.05%	36.42%	-0.24	-0.0	38
2018-03-29	@ Thisted	D 1-1	62.3	1531	1463	36.42%	27.05%	36.54%	+0.24	+0.0	34
2018-03-29	Fremad Amager	D 1-1	61.2	1563	1365	66.28%	22.62%	11.10%	+0.82	-4.5	42
2018-03-29	@ Vejle BK	D 1-1	61.2	1365	1563	11.10%	22.62%	66.28%	-0.82	+4.5	28
2018-03-29	HB Koge	W 2-1	56.6	1257	1536	14.36%	24.17%	61.47%	-1.07	+19.6	18
2018-03-29	@ Brabrand	L 1-2	56.6	1536	1257	61.47%	24.17%	14.36%	+1.07	-19.6	33
2018-03-29	Nykobing	L 0-1	49.5	1436	1414	48.61%	26.49%	24.90%	+0.12	-16.9	29
2018-03-29	@ FC Roskilde	W 1-0	49.5	1414	1436	24.90%	26.49%	48.61%	-0.12	+16.9	28
2018-03-29	Skive	W 1-0	37.9	1576	1333	69.67%	21.27%	9.06%	+1.00	+3.9	38
2018-03-29	@ Viborg	L 0-1	37.9	1333	1576	9.06%	21.27%	69.67%	-1.00	-3.8	13
2018-04-02	Brabrand	D 1-1	58.2	1531	1276	70.51%	20.89%	8.59%	+1.04	-5.1	35
2018-04-02	@ Fredericia	D 1-1	58.2	1276	1531	8.59%	20.89%	70.51%	-1.04	+5.1	19
2018-04-02	FC Roskilde	W 2-0	39.0	1579	1419	63.11%	23.69%	13.20%	+0.67	+10.7	41
2018-04-02	@ Viborg	L 0-2	39.0	1419	1579	13.20%	23.69%	63.11%	-0.67	-10.7	29
2018-04-02	Fremad Amager	D 0-0	57.6	1578	1369	67.12%	22.31%	10.57%	+0.86	-5.2	43
2018-04-02	@ Vendsyssel	D 0-0	57.6	1369	1578	10.57%	22.31%	67.12%	-0.86	+5.2	29
2018-04-02	Nykobing	W 5-2	45.2	1580	1431	62.09%	23.99%	13.92%	+0.63	+12.0	40
2018-04-02	@ Esbjerg	L 2-5	45.2	1431	1580	13.92%	23.99%	62.09%	-0.63	-12.0	28
2018-04-02	Thisted	D 1-1	56.1	1329	1463	27.84%	26.75%	45.41%	-0.49	+1.3	14
2018-04-02	@ Skive	D 1-1	56.1	1463	1329	45.41%	26.75%	27.84%	+0.49	-1.3	39
2018-04-02	Vejle BK	D 1-1	65.3	1517	1559	40.30%	27.00%	32.71%	-0.13	-0.5	34
2018-04-02	@ HB Koge	D 1-1	65.3	1559	1517	32.71%	27.00%	40.30%	+0.13	+0.5	43
2018-04-05	HB Koge	L 0-1	55.8	1526	1516	47.11%	26.62%	26.27%	+0.07	-16.5	35
2018-04-05	@ Fredericia	W 1-0	55.8	1516	1526	26.27%	26.62%	47.11%	-0.07	+16.5	37
2018-04-08	Brabrand	L 0-1	54.4	1559	1281	72.12%	20.15%	7.74%	+1.13	-23.7	43
2018-04-08	@ Vejle BK	W 1-0	54.4	1281	1559	7.74%	20.15%	72.12%	-1.13	+23.7	22
2018-04-08	Esbjerg	L 0-1	44.2	1374	1592	19.08%	25.55%	55.37%	-0.83	-8.0	29
2018-04-08	@ Fremad Amager	W 1-0	44.2	1592	1374	55.37%	25.55%	19.08%	+0.83	+8.0	43
2018-04-08	Fredericia	L 0-1	41.4	1330	1509	22.75%	26.21%	51.03%	-0.67	-9.3	14
2018-04-08	@ Skive	W 1-0	41.4	1509	1330	51.03%	26.21%	22.75%	+0.67	+9.3	38
2018-04-08	HB Koge	L 0-1	50.8	1461	1533	36.09%	27.05%	36.87%	-0.25	-13.4	39
2018-04-08	@ Thisted	W 1-0	50.8	1533	1461	36.87%	27.05%	36.09%	+0.25	+13.4	40
2018-04-08	Vendsyssel	D 2-2	67.5	1408	1573	24.27%	26.41%	49.32%	-0.62	+1.4	30
2018-04-08	@ FC Roskilde	D 2-2	67.5	1573	1408	49.32%	26.41%	24.27%	+0.62	-1.4	44
2018-04-11	Vendsyssel	D 1-1	62.3	1419	1572	25.64%	26.56%	47.80%	-0.57	+1.6	29
2018-04-11	@ Nykobing	D 1-1	62.3	1572	1419	47.80%	26.56%	25.64%	+0.57	-1.6	45
2018-04-11	Viborg	W 3-0	48.6	1366	1590	18.55%	25.43%	56.01%	-0.85	+52.4	32
2018-04-11	@ Fremad Amager	L 0-3	48.6	1590	1366	56.01%	25.43%	18.55%	+0.85	-52.4	41
2018-04-15	Fredericia	W 2-0	45.5	1538	1519	48.30%	26.52%	25.18%	+0.11	+19.1	44
2018-04-15	@ Viborg	L 0-2	45.5	1519	1538	25.18%	26.52%	48.30%	-0.11	-19.1	38
2018-04-15	Fremad Amager	D 1-1	54.8	1305	1419	30.37%	26.91%	42.73%	-0.41	+0.9	23
2018-04-15	@ Brabrand	D 1-1	54.8	1419	1305	42.73%	26.91%	30.37%	+0.41	-0.9	33
2018-04-15	Nykobing	L 0-3	49.9	1546	1421	59.89%	24.58%	15.52%	+0.53	-55.6	40
2018-04-15	@ HB Koge	W 3-0	49.9	1421	1546	15.52%	24.58%	59.89%	-0.53	+55.6	32
2018-04-15	Skive	L 0-1	48.9	1410	1321	56.24%	25.39%	18.37%	+0.39	-19.2	30
2018-04-15	@ FC Roskilde	W 1-0	48.9	1321	1410	18.37%	25.39%	56.24%	-0.39	+19.2	17
2018-04-15	Thisted	W 2-0	41.0	1600	1448	62.37%	23.91%	13.72%	+0.64	+11.1	46
2018-04-15	@ Esbjerg	L 0-2	41.0	1448	1600	13.72%	23.91%	62.37%	-0.64	-11.1	39
2018-04-15	Vejle BK	L 1-2	64.1	1570	1535	50.18%	26.32%	23.50%	+0.17	-16.4	45
2018-04-15	@ Vendsyssel	W 2-1	64.1	1535	1570	23.50%	26.32%	50.18%	-0.17	+16.4	46
2018-04-20	Esbjerg	L 0-3	33.6	1306	1611	12.77%	23.49%	63.74%	-1.17	-15.1	23
2018-04-20	@ Brabrand	W 3-0	33.6	1611	1306	63.74%	23.49%	12.77%	+1.17	+15.1	49
2018-04-20	FC Roskilde	D 1-1	61.4	1552	1390	63.18%	23.67%	13.15%	+0.67	-4.0	47
2018-04-20	@ Vejle BK	D 1-1	61.4	1390	1552	13.15%	23.67%	63.18%	-0.67	+4.0	31
2018-04-20	HB Koge	L 0-1	47.7	1418	1490	35.89%	27.05%	37.06%	-0.25	-13.3	33
2018-04-20	@ Fremad Amager	W 1-0	47.7	1490	1418	37.06%	27.05%	35.89%	+0.25	+13.3	43
2018-04-20	Nykobing	W 1-0	46.6	1500	1476	48.80%	26.47%	24.73%	+0.13	+10.0	41
2018-04-20	@ Fredericia	L 0-1	46.6	1476	1500	24.73%	26.47%	48.80%	-0.13	-10.0	32
2018-04-20	Vendsyssel	L 0-2	37.7	1340	1554	19.47%	25.64%	54.90%	-0.81	-15.4	17
2018-04-20	@ Skive	W 2-0	37.7	1554	1340	54.90%	25.64%	19.47%	+0.81	+15.4	48
2018-04-20	Viborg	L 0-3	42.4	1437	1557	29.52%	26.86%	43.62%	-0.44	-31.5	39
2018-04-20	@ Thisted	W 3-0	42.4	1557	1437	43.62%	26.86%	29.52%	+0.44	+31.5	47
2018-04-24	Vejle BK	L 0-1	62.1	1626	1548	55.18%	25.59%	19.24%	+0.35	-18.9	49
2018-04-24	@ Esbjerg	W 1-0	62.1	1548	1626	19.24%	25.59%	55.18%	-0.35	+18.9	50
2018-04-24	Viborg	D 3-3	74.0	1466	1588	29.28%	26.85%	43.87%	-0.45	+0.6	33
2018-04-24	@ Nykobing	D 3-3	74.0	1588	1466	43.87%	26.85%	29.28%	+0.45	-0.7	48
2018-04-28	Brabrand	D 1-1	59.8	1569	1291	72.14%	20.14%	7.72%	+1.14	-5.3	49
2018-04-28	@ Vendsyssel	D 1-1	59.8	1291	1569	7.72%	20.14%	72.14%	-1.14	+5.3	24
2018-04-28	Fremad Amager	W 3-2	51.8	1467	1404	53.43%	25.88%	20.69%	+0.28	+7.7	36
2018-04-28	@ Nykobing	L 2-3	51.8	1404	1467	20.69%	25.88%	53.43%	-0.28	-7.7	33
2018-04-28	Skive	D 0-0	53.6	1504	1325	64.70%	23.18%	12.12%	+0.74	-4.8	44
2018-04-28	@ HB Koge	D 0-0	53.6	1325	1504	12.12%	23.18%	64.70%	-0.74	+4.8	18
2018-04-28	Thisted	W 3-1	43.8	1394	1405	44.47%	26.82%	28.72%	-0.01	+18.4	34
2018-04-28	@ FC Roskilde	L 1-3	43.8	1405	1394	28.72%	26.82%	44.47%	+0.01	-18.4	39
2018-04-28	Vejle BK	L 0-1	59.8	1588	1567	48.56%	26.49%	24.95%	+0.12	-16.9	48
2018-04-28	@ Viborg	W 1-0	59.8	1567	1588	24.95%	26.49%	48.56%	-0.12	+16.9	53
2018-04-29	Esbjerg	L 1-3	55.4	1510	1607	32.41%	26.99%	40.61%	-0.35	-20.2	41
2018-04-29	@ Fredericia	W 3-1	55.4	1607	1510	40.61%	26.99%	32.41%	+0.35	+20.2	52
2018-05-02	FC Roskilde	D 0-0	55.0	1489	1413	54.96%	25.63%	19.42%	+0.34	-3.1	42
2018-05-02	@ Fredericia	D 0-0	55.0	1413	1489	19.42%	25.63%	54.96%	-0.34	+3.1	35
2018-05-05	FC Roskilde	W 2-1	48.8	1628	1416	67.33%	22.23%	10.44%	+0.87	+4.2	55
2018-05-05	@ Esbjerg	L 1-2	48.8	1416	1628	10.44%	22.23%	67.33%	-0.87	-4.2	35
2018-05-05	Fredericia	W 1-0	47.3	1499	1486	47.51%	26.59%	25.90%	+0.09	+10.4	47
2018-05-05	@ HB Koge	L 0-1	47.3	1486	1499	25.90%	26.59%	47.51%	-0.09	-10.4	42
2018-05-05	Skive	W 1-0	38.2	1397	1329	53.94%	25.80%	20.27%	+0.30	+8.5	36
2018-05-05	@ Fremad Amager	L 0-1	38.2	1329	1397	20.27%	25.80%	53.94%	-0.30	-8.5	18
2018-05-05	Thisted	W 1-0	43.8	1296	1387	33.40%	27.01%	39.59%	-0.32	+14.3	27
2018-05-05	@ Brabrand	L 0-1	43.8	1387	1296	39.59%	27.01%	33.40%	+0.32	-14.3	39
2018-05-05	Viborg	L 1-3	59.6	1564	1571	44.96%	26.78%	28.26%	+0.01	-25.9	49
2018-05-05	@ Vendsyssel	W 3-1	59.6	1571	1564	28.26%	26.78%	44.96%	-0.01	+25.9	51
2018-05-06	Nykobing	W 2-1	52.1	1583	1475	58.28%	24.97%	16.76%	+0.47	+6.7	56
2018-05-06	@ Vejle BK	L 1-2	52.1	1475	1583	16.76%	24.97%	58.28%	-0.47	-6.7	36
2018-05-12	Brabrand	L 1-2	56.6	1468	1311	62.83%	23.77%	13.39%	+0.66	-20.0	36
2018-05-12	@ Nykobing	W 2-1	56.6	1311	1468	13.39%	23.77%	62.83%	-0.66	+20.0	30
2018-05-12	Esbjerg	D 0-0	65.1	1597	1632	41.21%	26.97%	31.83%	-0.10	-0.8	52
2018-05-12	@ Viborg	D 0-0	65.1	1632	1597	31.83%	26.97%	41.21%	+0.10	+0.8	56
2018-05-12	Fremad Amager	L 0-2	47.8	1476	1405	54.33%	25.73%	19.94%	+0.32	-35.1	42
2018-05-12	@ Fredericia	W 2-0	47.8	1405	1476	19.94%	25.73%	54.33%	-0.32	+35.1	39
2018-05-12	HB Koge	L 1-3	48.4	1412	1509	32.43%	26.99%	40.59%	-0.35	-20.2	35
2018-05-12	@ FC Roskilde	W 3-1	48.4	1509	1412	40.59%	26.99%	32.43%	+0.35	+20.2	50
2018-05-12	Vejle BK	L 0-3	34.4	1321	1590	15.07%	24.43%	60.50%	-1.03	-17.7	18
2018-05-12	@ Skive	W 3-0	34.4	1590	1321	60.50%	24.43%	15.07%	+1.03	+17.7	59
2018-05-12	Vendsyssel	L 1-3	45.4	1373	1538	24.23%	26.41%	49.37%	-0.62	-16.1	39
2018-05-12	@ Thisted	W 3-1	45.4	1538	1373	49.37%	26.41%	24.23%	+0.62	+16.0	52
2018-05-16	Esbjerg	L 0-1	40.0	1303	1633	11.44%	22.81%	65.75%	-1.27	-4.9	18
2018-05-16	@ Skive	W 1-0	40.0	1633	1303	65.75%	22.81%	11.44%	+1.27	+4.9	59
2018-05-16	FC Roskilde	W 2-1	48.3	1331	1391	37.60%	27.04%	35.36%	-0.21	+12.4	33
2018-05-16	@ Brabrand	L 1-2	48.3	1391	1331	35.36%	27.04%	37.60%	+0.21	-12.4	35
2018-05-16	Fredericia	W 1-0	44.8	1608	1441	63.67%	23.51%	12.81%	+0.70	+5.5	62
2018-05-16	@ Vejle BK	L 0-1	44.8	1441	1608	12.81%	23.51%	63.67%	-0.70	-5.5	42
2018-05-16	Nykobing	D 1-1	63.2	1554	1448	57.99%	25.03%	16.98%	+0.45	-3.2	53
2018-05-16	@ Vendsyssel	D 1-1	63.2	1448	1554	16.98%	25.03%	57.99%	-0.45	+3.2	37
2018-05-16	Thisted	D 0-0	52.1	1440	1357	55.71%	25.49%	18.80%	+0.37	-3.2	40
2018-05-16	@ Fremad Amager	D 0-0	52.1	1357	1440	18.80%	25.49%	55.71%	-0.37	+3.2	40
2018-05-16	Viborg	D 1-1	66.9	1530	1596	36.81%	27.05%	36.14%	-0.23	-0.0	51
2018-05-16	@ HB Koge	D 1-1	66.9	1596	1530	36.14%	27.05%	36.81%	+0.23	+0.0	53
2018-05-20	Brabrand	D 3-3	71.5	1596	1343	70.40%	20.94%	8.65%	+1.04	-3.1	54
2018-05-20	@ Viborg	D 3-3	71.5	1343	1596	8.65%	20.94%	70.40%	-1.04	+3.2	34
2018-05-20	Fremad Amager	W 2-0	40.6	1379	1437	38.01%	27.04%	34.95%	-0.19	+24.6	38
2018-05-20	@ FC Roskilde	L 0-2	40.6	1437	1379	34.95%	27.04%	38.01%	+0.19	-24.6	40
2018-05-20	HB Koge	D 0-0	64.3	1638	1530	58.21%	24.98%	16.81%	+0.46	-3.7	60
2018-05-20	@ Esbjerg	D 0-0	64.3	1530	1638	16.81%	24.98%	58.21%	-0.46	+3.6	52
2018-05-20	Skive	W 4-0	29.6	1451	1298	62.43%	23.89%	13.67%	+0.64	+21.0	40
2018-05-20	@ Nykobing	L 0-4	29.6	1298	1451	13.67%	23.89%	62.43%	-0.64	-21.0	18
2018-05-20	Vejle BK	L 0-2	39.2	1360	1613	16.19%	24.80%	59.02%	-0.97	-13.0	40
2018-05-20	@ Thisted	W 2-0	39.2	1613	1360	59.02%	24.80%	16.19%	+0.97	+13.0	65
2018-05-20	Vendsyssel	L 1-3	50.0	1435	1551	30.13%	26.90%	42.98%	-0.42	-19.1	42
2018-05-20	@ Fredericia	W 3-1	50.0	1551	1435	42.98%	26.90%	30.13%	+0.42	+19.1	56

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
2018-05-24	Esbjerg	W 1-0	1527	1634	31.19%	26.94%	41.86%	-0.39	+15.0	1-0
2018-05-24	@ Silkeborg	L 0-1	1634	1527	41.86%	26.94%	31.19%	+0.39	-15.0	0-1
2018-05-24	Lyngby	W 1-0	1570	1465	57.92%	25.05%	17.04%	+0.45	+7.2	1-0
2018-05-24	@ Vendsyssel	L 0-1	1465	1570	17.04%	25.05%	57.92%	-0.45	-7.2	0-1
2018-05-27	Silkeborg	W 3-0	1619	1542	55.01%	25.62%	19.37%	+0.34	+22.3	1-1
2018-05-27	@ Esbjerg	L 0-3	1542	1619	19.37%	25.62%	55.01%	-0.34	-22.3	1-1
2018-05-27	Vendsyssel	L 1-2	1457	1577	29.58%	26.87%	43.55%	-0.44	-10.9	0-2
2018-05-27	@ Lyngby	W 2-1	1577	1457	43.55%	26.87%	29.58%	+0.44	+10.9	2-0

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	2018-04-08	7.74%	Brabrand	1281	1	@ Vejle BK	1559	0
2	2018-05-12	13.39%	Brabrand	1311	2	@ Nykobing	1468	1
3	2018-03-29	14.36%	@ Brabrand	1257	2	HB Koge	1536	1
4	2017-10-11	14.54%	FC Roskilde	1411	3	@ HB Koge	1551	1
5	2017-10-22	14.89%	Nykobing	1404	1	@ Thisted	1538	0
6	2017-10-22	15.35%	@ Brabrand	1286	2	Vendsyssel	1552	1
7	2018-04-15	15.52%	Nykobing	1421	3	@ HB Koge	1546	0
8	2017-08-23	16.38%	Fremad Amager	1339	1	@ Nykobing	1452	0
9	2017-08-27	16.77%	Fremad Amager	1359	3	@ Fredericia	1467	2
10	2017-11-19	17.37%	@ Fremad Amager	1327	1	Vejle BK	1566	0
11	2017-08-20	17.53%	Thisted	1437	2	@ Esbjerg	1536	1
12	2017-08-23	17.57%	Fredericia	1450	3	@ Viborg	1548	2
13	2017-08-27	17.77%	Nykobing	1432	3	@ Esbjerg	1528	1
14	2018-04-15	18.37%	Skive	1321	1	@ FC Roskilde	1410	0
15	2018-04-11	18.55%	@ Fremad Amager	1366	3	Viborg	1590	0
16	2018-04-24	19.24%	Vejle BK	1548	1	@ Esbjerg	1626	0
17	2018-05-12	19.94%	Fremad Amager	1405	2	@ Fredericia	1476	0
18	2017-10-02	20.83%	Esbjerg	1502	3	@ Vendsyssel	1564	1
19	2017-09-17	22.56%	Fremad Amager	1367	1	@ FC Roskilde	1411	0
20	2018-04-15	23.50%	Vejle BK	1535	2	@ Vendsyssel	1570	1
21	2017-08-13	23.90%	Vejle BK	1521	2	@ Esbjerg	1552	1
22	2017-08-13	24.21%	Fredericia	1437	3	@ Thisted	1465	1
23	2017-10-15	24.30%	Esbjerg	1532	3	@ Vejle BK	1559	1
24	2017-11-05	24.73%	Vendsyssel	1544	4	@ Esbjerg	1567	2
25	2018-03-29	24.90%	Nykobing	1414	1	@ FC Roskilde	1436	0

Biggest Elo Changes

The 25 games that resulted in the largest shift in Elo rating.

#	Date	Elo Δ	Winning Team				Losing Team				Tie %
#	Date	Elo Δ	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2017-08-20	70.74	Viborg	6	1477	36.37%	@ Fremad Amager	0	1409	36.58%	27.05%
2	2018-04-15	55.62	Nykobing	3	1421	15.52%	@ HB Koge	0	1546	59.89%	24.58%
3	2018-04-11	52.39	@ Fremad Amager	3	1366	18.55%	Viborg	0	1590	56.01%	25.43%
4	2017-11-12	47.97	Esbjerg	4	1543	36.74%	@ FC Roskilde	0	1472	36.21%	27.05%
5	2017-08-23	43.98	HB Koge	3	1484	27.55%	@ FC Roskilde	0	1482	45.72%	26.73%
6	2017-10-08	39.18	Skive	3	1369	33.47%	@ Brabrand	0	1322	39.51%	27.02%
7	2018-03-18	38.83	Esbjerg	3	1552	33.93%	@ Thisted	0	1501	39.05%	27.02%
8	2017-11-26	38.74	@ HB Koge	3	1515	34.04%	Esbjerg	0	1601	38.93%	27.03%
9	2017-09-17	35.44	@ HB Koge	3	1518	38.46%	Viborg	0	1573	34.51%	27.03%
10	2018-05-12	35.11	Fremad Amager	2	1405	19.94%	@ Fredericia	0	1476	54.33%	25.73%
11	2017-10-11	33.83	FC Roskilde	3	1411	14.54%	@ HB Koge	1	1551	61.23%	24.23%
12	2017-08-27	31.73	Nykobing	3	1432	17.77%	@ Esbjerg	1	1528	56.99%	25.24%
13	2018-04-20	31.49	Viborg	3	1557	43.62%	@ Thisted	0	1437	29.52%	26.86%
14	2017-08-06	30.74	Esbjerg	2	1521	26.79%	@ Viborg	0	1526	46.54%	26.67%
15	2017-10-02	29.88	Esbjerg	3	1502	20.83%	@ Vendsyssel	1	1564	53.27%	25.90%
16	2017-08-13	27.98	Fredericia	3	1437	24.21%	@ Thisted	1	1465	49.39%	26.41%
17	2017-10-15	27.93	Esbjerg	3	1532	24.30%	@ Vejle BK	1	1559	49.29%	26.42%
18	2017-10-15	27.77	FC Roskilde	2	1445	32.00%	@ Skive	0	1408	41.03%	26.97%
19	2017-11-26	26.90	@ Vejle BK	4	1546	43.10%	Vendsyssel	1	1567	30.01%	26.89%
20	2017-07-30	26.73	Vejle BK	3	1471	26.56%	@ HB Koge	1	1478	46.79%	26.65%
21	2017-09-03	26.24	@ Thisted	2	1444	34.88%	HB Koge	0	1524	38.09%	27.04%
22	2018-05-05	25.87	Viborg	3	1571	28.26%	@ Vendsyssel	1	1564	44.96%	26.78%
23	2017-11-05	24.78	Vendsyssel	4	1544	24.73%	@ Esbjerg	2	1567	48.80%	26.47%
24	2017-11-05	24.76	@ HB Koge	4	1488	59.00%	Fremad Amager	0	1372	16.20%	24.80%
25	2017-09-10	24.74	Thisted	2	1470	37.81%	@ Fremad Amager	0	1392	35.15%	27.04%

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	2018-04-24	74.0	@ Nykobing	3	1466	29.28%	Viborg	3	1588	43.87%	26.85%
2	2018-05-20	71.5	@ Viborg	3	1596	70.40%	Brabrand	3	1343	8.65%	20.94%
3	2017-10-29	70.2	@ Viborg	2	1538	48.39%	Thisted	2	1518	25.10%	26.51%
4	2017-08-06	70.0	@ Fredericia	3	1437	35.49%	Vendsyssel	3	1512	37.47%	27.04%
5	2017-09-17	70.0	@ Skive	3	1390	24.24%	Vendsyssel	3	1555	49.35%	26.41%
6	2018-03-25	67.6	@ Nykobing	3	1414	39.44%	Thisted	3	1462	33.55%	27.02%
7	2018-04-08	67.5	@ FC Roskilde	2	1408	24.27%	Vendsyssel	2	1573	49.32%	26.41%
8	2017-11-06	67.4	@ Fredericia	2	1446	33.43%	Viborg	2	1536	39.55%	27.01%
9	2017-08-23	67.0	Fredericia	3	1450	17.57%	@ Viborg	2	1548	57.24%	25.19%
10	2017-11-26	66.9	@ Skive	4	1355	36.32%	Nykobing	4	1424	36.63%	27.05%
11	2018-05-16	66.9	@ HB Koge	1	1530	36.81%	Viborg	1	1596	36.14%	27.05%
12	2017-09-10	66.6	@ Vendsyssel	1	1556	45.82%	Vejle BK	1	1557	27.46%	26.73%
13	2017-08-20	65.8	@ Skive	2	1401	27.45%	Vejle BK	2	1538	45.83%	26.73%
14	2017-11-19	65.8	@ Nykobing	2	1424	33.27%	HB Koge	2	1516	39.72%	27.01%
15	2018-04-02	65.3	@ HB Koge	1	1517	40.30%	Vejle BK	1	1559	32.71%	27.00%
16	2018-05-12	65.1	@ Viborg	0	1597	41.21%	Esbjerg	0	1632	31.83%	26.97%
17	2017-09-24	64.8	@ Thisted	1	1508	39.85%	Vejle BK	1	1553	33.14%	27.01%
18	2018-03-29	64.8	@ Vendsyssel	3	1568	42.86%	Esbjerg	2	1591	30.24%	26.90%
19	2017-09-24	64.6	@ Esbjerg	1	1503	39.06%	HB Koge	1	1553	33.92%	27.02%
20	2017-09-10	64.5	@ Esbjerg	2	1481	54.51%	FC Roskilde	2	1409	19.79%	25.70%
21	2018-05-20	64.3	@ Esbjerg	0	1638	58.21%	HB Koge	0	1530	16.81%	24.98%
22	2017-10-15	64.2	@ Thisted	2	1542	70.87%	Brabrand	2	1283	8.40%	20.73%
23	2018-04-15	64.1	Vejle BK	2	1535	23.50%	@ Vendsyssel	1	1570	50.18%	26.32%
24	2017-11-05	63.9	Vendsyssel	4	1544	24.73%	@ Esbjerg	2	1567	48.80%	26.47%
25	2017-08-27	63.2	@ Brabrand	2	1415	42.14%	Thisted	2	1443	30.93%	26.93%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2017-11-19	29.6	@ Esbjerg	4	1591	73.28%	Brabrand	0	1296	7.15%	19.58%
2	2018-05-20	29.6	@ Nykobing	4	1451	62.43%	Skive	0	1298	13.67%	23.89%
3	2017-10-01	31.4	@ Viborg	4	1543	66.74%	Brabrand	0	1338	10.81%	22.45%
4	2017-11-26	32.7	Fredericia	3	1486	53.53%	@ Brabrand	0	1285	20.61%	25.86%
5	2017-11-05	33.1	@ HB Koge	4	1488	59.00%	Fremad Amager	0	1372	16.20%	24.80%
6	2018-04-20	33.6	Esbjerg	3	1611	63.74%	@ Brabrand	0	1306	12.77%	23.49%
7	2018-05-12	34.4	Vejle BK	3	1590	60.50%	@ Skive	0	1321	15.07%	24.43%
8	2018-03-04	34.8	@ Esbjerg	2	1562	67.02%	Skive	0	1355	10.63%	22.34%
9	2017-10-29	36.1	@ HB Koge	1	1483	64.54%	Brabrand	0	1306	12.23%	23.23%
10	2017-09-24	36.5	@ Fredericia	5	1455	56.82%	Brabrand	1	1361	17.90%	25.27%
11	2017-10-29	37.0	@ Vendsyssel	2	1532	61.03%	Skive	0	1395	14.69%	24.29%
12	2017-10-08	37.5	Skive	3	1369	33.47%	@ Brabrand	0	1322	39.51%	27.02%
13	2018-04-20	37.7	Vendsyssel	2	1554	54.90%	@ Skive	0	1340	19.47%	25.64%
14	2018-03-29	37.9	@ Viborg	1	1576	69.67%	Skive	0	1333	9.06%	21.27%
15	2018-05-05	38.2	@ Fremad Amager	1	1397	53.94%	Skive	0	1329	20.27%	25.80%
16	2017-08-20	38.5	@ Vendsyssel	3	1513	53.23%	Brabrand	0	1452	20.86%	25.91%
17	2018-04-02	39.0	@ Viborg	2	1579	63.11%	FC Roskilde	0	1419	13.20%	23.69%
18	2017-08-23	39.2	@ Vejle BK	2	1537	58.24%	Brabrand	0	1428	16.79%	24.97%
19	2018-05-20	39.2	Vejle BK	2	1613	59.02%	@ Thisted	0	1360	16.19%	24.80%
20	2017-10-01	39.8	@ FC Roskilde	2	1388	40.59%	Nykobing	0	1427	32.42%	26.99%
21	2018-05-16	40.0	Esbjerg	1	1633	65.75%	@ Skive	0	1303	11.44%	22.81%
22	2018-03-04	40.2	@ Vendsyssel	2	1540	57.09%	FC Roskilde	0	1443	17.69%	25.22%
23	2017-07-30	40.6	@ Vendsyssel	2	1495	51.23%	Fremad Amager	0	1452	22.58%	26.19%
24	2018-05-20	40.6	@ FC Roskilde	2	1379	38.01%	Fremad Amager	0	1437	34.95%	27.04%
25	2018-04-15	41.0	@ Esbjerg	2	1600	62.37%	Thisted	0	1448	13.72%	23.91%