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

9.60 points above expected

65 points · 55.40 expected points

Biggest Disappointment

Skive

14.25 points below expected

18 points · 32.25 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	55.40	+9.60
2	Esbjerg Promoted	33	18	6	9	60	61	36	+25	56.27	+3.73
3	Vendsyssel Promoted	33	15	11	7	56	59	42	+17	55.93	+0.07
4	Viborg	33	15	9	9	54	58	42	+16	55.71	-1.71
5	HB Koge	33	14	10	9	52	42	31	+11	50.56	+1.44
6	Fredericia	33	11	9	13	42	48	47	+1	46.07	-4.07
7	Nykobing	33	10	10	13	40	54	59	-5	41.34	-1.34
8	Thisted	33	10	10	13	40	42	53	-11	43.88	-3.88
9	Fremad Amager	33	11	7	15	40	27	42	-15	35.98	+4.02
10	FC Roskilde	33	10	8	15	38	41	49	-8	40.61	-2.61
11	Brabrand Relegated	33	8	10	15	34	34	61	-27	29.14	+4.86
12	Skive Relegated	33	3	9	21	18	33	60	-27	32.25	-14.25

Form

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

League Race

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

Season Summary

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

Team	Elo	Points	Avg	Luck	Percentile	Min	5th	Q1	Median	Q3	95th	Max
Esbjerg	1635	60	56.27	+3.73	72.7%	31	45	51	56	61	68	81
Vejle BK	1621	65	55.40	+9.60	92.4%	31	44	51	55	60	67	83
Viborg	1587	54	55.71	-1.71	43.6%	27	44	51	56	61	68	80
Vendsyssel	1582	56	55.93	+0.07	53.7%	30	44	51	56	61	68	83
HB Koge	1527	52	50.56	+1.44	60.6%	24	39	46	50	55	63	77
Nykobing	1466	40	41.34	-1.34	46.0%	17	30	37	41	46	53	69
Fredericia	1410	42	46.07	-4.07	31.3%	20	34	41	46	51	58	72
Fremad Amager	1407	40	35.98	+4.02	75.2%	11	25	31	36	40	47	65
FC Roskilde	1398	38	40.61	-2.61	38.3%	16	29	36	41	45	52	65
Thisted	1341	40	43.88	-3.88	32.1%	19	32	39	44	49	56	71
Brabrand	1340	34	29.14	+4.86	80.2%	7	19	25	29	33	40	55
Skive	1271	18	32.25	-14.25	1.7%	8	22	28	32	37	44	57

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 2.29	1-1-1 3.51	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 3.27	1-0-2 1.90	1-1-1 2.03	0-2-1 1.62
Esbjerg	3-0-0 6.01	—	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 4.53	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 2.84	—	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 2.54	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 5.61	1-1-1 2.51	2-0-1 3.67	0-0-3 3.71	1-1-1 5.15	1-1-1 3.08	—	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 4.84	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 2.51	0-0-3 2.15
Thisted	0-2-1 4.99	1-0-2 2.87	1-1-1 4.07	1-1-1 4.34	2-1-0 4.34	1-0-2 3.60	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 6.32	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 4.97	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

Home-Field Advantage Edge

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

Top Overachievers & Disappointments

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

Biggest Overachievers

#	Team	Actual	Sim	vsSim
1	Vejle BK	65	55.40	+9.60
2	Brabrand	34	29.14	+4.86
3	Fremad Amager	40	35.98	+4.02
4	Esbjerg	60	56.27	+3.73
5	HB Koge	52	50.56	+1.44

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Skive	18	32.25	-14.25
2	Fredericia	42	46.07	-4.07
3	Thisted	40	43.88	-3.88
4	FC Roskilde	38	40.61	-2.61
5	Viborg	54	55.71	-1.71

Top Streaks

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

Most Unlikely Winning Streaks

#	Team	Games	Dates	Probability
1	Vejle BK	6	Apr 24 – May 20	1 in 157
2	Fremad Amager	3	Aug 23 – Sep 3	1 in 124
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 133
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

Finish Position Heatmap

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

Team	1	2	3	4	5	6	7	8	9	10	11	12
Vejle BK	20.62%	20.49%	18.06%	15.04%	10.67%	7.08%	3.94%	2.64%	1.09%	0.27%	0.10%	—
Esbjerg	24.65%	21.67%	18.17%	13.47%	9.97%	5.90%	3.08%	1.72%	1.02%	0.22%	0.11%	0.02%
Vendsyssel	23.17%	19.37%	17.78%	14.85%	10.37%	6.59%	4.14%	2.25%	0.93%	0.46%	0.09%	—
Viborg	20.52%	19.95%	17.92%	15.74%	11.29%	6.67%	4.35%	2.16%	0.94%	0.36%	0.08%	0.02%
HB Koge	7.39%	10.42%	12.60%	15.06%	17.19%	13.90%	10.09%	6.83%	3.93%	1.77%	0.67%	0.15%
Fredericia	1.96%	3.95%	6.30%	10.15%	14.03%	16.94%	15.80%	12.83%	9.25%	5.51%	2.52%	0.76%
Nykobing	0.36%	0.94%	2.29%	4.01%	7.01%	11.73%	15.32%	17.52%	17.25%	12.83%	7.61%	3.13%
Thisted	0.97%	2.19%	4.20%	6.77%	10.19%	14.33%	17.51%	15.77%	13.40%	8.71%	4.44%	1.52%
Fremad Amager	0.06%	0.12%	0.46%	1.22%	2.01%	4.03%	6.97%	12.01%	17.54%	23.42%	19.97%	12.19%
FC Roskilde	0.29%	0.87%	2.08%	3.38%	6.22%	10.57%	13.88%	17.05%	18.15%	14.76%	8.74%	4.01%
Brabrand	—	0.01%	0.01%	0.06%	0.30%	0.46%	1.49%	2.92%	6.33%	12.84%	25.37%	50.21%
Skive	0.01%	0.02%	0.13%	0.25%	0.75%	1.80%	3.43%	6.30%	10.17%	18.85%	30.30%	27.99%

Points Required Per Position

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

Points Totals in Context

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

Season Trends

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

Edges & Scoring

How these are measured

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

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

Home Edge

HomeDrawAway

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

Title-Race Openness

4.9

Open

124610

Champion Preseason Odds

21%

Vejle BK, 3rd of 12

LongshotFavorite

Title Margin

Expected

0.15/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 5.6 * Some Luck: 5.6 to 8.4 * Lucky: 8.4 to 11.2 * Wild Swing: 11.2 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 1.33 * Close: 1.33 to 1.99 * Off: 1.99 to 2.65 * Way Off: 2.65 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 0.66 * A Surprise: 0.66 to 1.06 * Several Surprises: 1.06 to 1.45 * Many Surprises: 1.45 and up.

Luck Spread

Expected

5.72 points

Some Luck

07.0017

Average Finish Error

Expected

1.00

Pinpoint

01.664

Biggest Overachiever

Expected 95.83%

92.39%

Vejle BK

50100

Biggest Underachiever

Expected 4.17%

1.72%

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

Gini Index

0.15

Even

00.120.180.260.5

Noll-Scully

Coin-flip

1.51

Moderate Separation

01.003

Interquartile Edge

74%

Clear Edge

50%60%70%80%100%

Best vs. Worst

Baseline

89%

Strong Edge

50%92%100%

Close Games

Expected

64%

Very Frequent

0%63%100%

Blowouts

Expected

12%

Occasional

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 0.1 * Slight Separation: 0.1 to 0.18 * Notable Separation: 0.18 to 0.28 * Lopsided: 0.28 and up.
Strangeness: How wild the final table was versus what the model expected. A value of 1 means teams landed about one standard deviation from their projections on average. Above 1 is a stranger season; below 1 hugged the projections.
Very Predictable: under 0.8 * As Expected: 0.8 to 1.1 * Wilder Than Modeled: 1.1 to 1.4 * Chaotic: 1.4 and up.
Repeatability: How closely the final table order matched the preseason Elo order, by Spearman rank correlation. Higher means last season's ratings strongly predicted this season's finish. Shows N/A for an inaugural season.
Weak Carryover: under 0.3 * Some Carryover: 0.3 to 0.6 * Strong Carryover: 0.6 to 0.85 * Near-Lock: 0.85 and up.
Upset Rate: Share of matches the underdog won. The gold line is how often the model expected underdogs to win; a dot to the right means upsets ran hotter than expected.
Chalky: under 25% * As Expected: 25% to 33% * Upset-Prone: 33% to 42% * Very Upset-Prone: 42% and up.
Clear Favorite Upset Rate: Share of matches the underdog won, counting only games with a clear favorite (at least 60% likely to win once a draw is set aside). The gold line is how often the model expected these favorites to slip.
Solid Favorites: under 15% * As Expected: 15% to 25% * Shaky Favorites: 25% to 35% * Very Shaky: 35% and up.

Brier Score

Expected

0.65

Hard to Predict

00.612

Matchup Imbalance

0.36

Lopsided

00.10.180.280.5

Strangeness

Expected

0.71

Very Predictable

01.002

Repeatability

0.78

Strong Carryover

00.30.60.851

Upset Rate

Expected

26%

As Expected

0%24%50%

Clear Favorite Upset Rate

Expected

28%

Shaky Favorites

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

0.03

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

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	24.65%	39.84%	35.38%	0.13%
Vendsyssel	23.17%	37.15%	39.59%	0.09%
Vejle BK	20.62%	38.55%	40.73%	0.10%
Viborg	20.52%	37.87%	41.51%	0.10%
HB Koge	7.39%	23.02%	68.77%	0.82%
Fredericia	1.96%	10.25%	84.51%	3.28%
Thisted	0.97%	6.39%	86.68%	5.96%
Nykobing	0.36%	3.23%	85.67%	10.74%
FC Roskilde	0.29%	2.95%	84.01%	12.75%
Fremad Amager	0.06%	0.58%	67.20%	32.16%
Skive	0.01%	0.15%	41.55%	58.29%
Brabrand	—	0.02%	24.40%	75.58%

Filter by Team:

Overall Game Log

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

Date	Opponent	Score	Pre Elo	Opp Elo	Win %	Tie %	Loss %	Elo Δ	Points
2017-07-27	Fredericia	W 2-1	1508	1439	54.08%	25.77%	20.14%	+7.9	3
2017-07-27	@ Esbjerg	L 1-2	1439	1508	20.14%	25.77%	54.08%	-7.9	0
2017-07-30	Fremad Amager	W 2-0	1489	1445	51.27%	26.18%	22.55%	+17.5	3
2017-07-30	@ Vendsyssel	L 0-2	1445	1489	22.55%	26.18%	51.27%	-17.5	0
2017-07-30	Skive	W 3-2	1460	1433	49.27%	26.42%	24.31%	+8.8	3
2017-07-30	@ Nykobing	L 2-3	1433	1460	24.31%	26.42%	49.27%	-8.8	0
2017-07-30	Vejle BK	L 1-3	1473	1466	46.79%	26.65%	26.56%	-26.7	0
2017-07-30	@ HB Koge	W 3-1	1466	1473	26.56%	26.65%	46.79%	+26.7	3
2017-07-30	Viborg	W 2-1	1430	1535	31.50%	26.96%	41.54%	+14.0	3
2017-07-30	@ Thisted	L 1-2	1535	1430	41.54%	26.96%	31.50%	-14.0	0
2017-08-01	FC Roskilde	D 1-1	1423	1460	40.91%	26.98%	32.11%	-0.6	1
2017-08-01	@ Brabrand	D 1-1	1460	1423	32.11%	26.98%	40.91%	+0.6	1
2017-08-06	Brabrand	L 3-4	1424	1422	46.16%	26.70%	27.14%	-14.1	0
2017-08-06	@ Skive	W 4-3	1422	1424	27.14%	26.70%	46.16%	+14.1	4
2017-08-06	Esbjerg	L 0-2	1521	1515	46.54%	26.67%	26.79%	-30.7	0
2017-08-06	@ Viborg	W 2-0	1515	1521	26.79%	26.67%	46.54%	+30.7	6
2017-08-06	HB Koge	L 1-2	1428	1446	43.54%	26.87%	29.59%	-14.5	0
2017-08-06	@ Fremad Amager	W 2-1	1446	1428	29.59%	26.87%	43.54%	+14.5	3
2017-08-06	Nykobing	W 4-1	1492	1469	48.81%	26.47%	24.72%	+23.1	6
2017-08-06	@ Vejle BK	L 1-4	1469	1492	24.72%	26.47%	48.81%	-23.1	3
2017-08-06	Thisted	L 2-3	1461	1444	48.05%	26.54%	25.41%	-15.0	1
2017-08-06	@ FC Roskilde	W 3-2	1444	1461	25.41%	26.54%	48.05%	+15.0	6
2017-08-06	Vendsyssel	D 3-3	1431	1507	35.49%	27.04%	37.46%	+0.1	1
2017-08-06	@ Fredericia	D 3-3	1507	1431	37.46%	27.04%	35.49%	-0.1	4
2017-08-13	Fredericia	L 1-3	1459	1431	49.36%	26.41%	24.23%	-28.0	6
2017-08-13	@ Thisted	W 3-1	1431	1459	24.23%	26.41%	49.36%	+28.0	4
2017-08-13	Fremad Amager	W 1-0	1436	1413	48.80%	26.47%	24.74%	+10.0	7
2017-08-13	@ Brabrand	L 0-1	1413	1436	24.74%	26.47%	48.80%	-10.0	0
2017-08-13	Skive	W 3-1	1446	1410	50.30%	26.30%	23.39%	+15.6	4
2017-08-13	@ FC Roskilde	L 1-3	1410	1446	23.39%	26.30%	50.30%	-15.6	0
2017-08-13	Vejle BK	L 1-2	1546	1515	49.73%	26.37%	23.90%	-16.2	6
2017-08-13	@ Esbjerg	W 2-1	1515	1546	23.90%	26.37%	49.73%	+16.2	9
2017-08-13	Vendsyssel	D 0-0	1460	1507	39.69%	27.01%	33.30%	-0.5	4
2017-08-13	@ HB Koge	D 0-0	1507	1460	33.30%	27.01%	39.69%	+0.5	5
2017-08-13	Viborg	W 4-2	1446	1490	40.01%	27.00%	32.99%	+18.3	6
2017-08-13	@ Nykobing	L 2-4	1490	1446	32.99%	27.00%	40.01%	-18.3	0
2017-08-20	Brabrand	W 3-0	1507	1446	53.19%	25.91%	20.89%	+23.8	8
2017-08-20	@ Vendsyssel	L 0-3	1446	1507	20.89%	25.91%	53.19%	-23.8	7
2017-08-20	FC Roskilde	L 1-2	1459	1462	45.58%	26.74%	27.68%	-15.1	4
2017-08-20	@ Fredericia	W 2-1	1462	1459	27.68%	26.74%	45.58%	+15.1	7
2017-08-20	Nykobing	W 3-1	1460	1464	45.33%	26.76%	27.91%	+18.0	7
2017-08-20	@ HB Koge	L 1-3	1464	1460	27.91%	26.76%	45.33%	-18.0	6
2017-08-20	Thisted	L 1-2	1530	1431	57.31%	25.17%	17.52%	-18.4	6
2017-08-20	@ Esbjerg	W 2-1	1431	1530	17.52%	25.17%	57.31%	+18.4	9
2017-08-20	Vejle BK	D 2-2	1395	1532	27.45%	26.73%	45.83%	+1.0	1
2017-08-20	@ Skive	D 2-2	1532	1395	45.83%	26.73%	27.45%	-1.0	10
2017-08-20	Viborg	L 0-6	1403	1472	36.56%	27.05%	36.40%	-70.7	0
2017-08-20	@ Fremad Amager	W 6-0	1472	1403	36.40%	27.05%	36.56%	+70.7	3
2017-08-23	Brabrand	W 2-0	1531	1423	58.20%	24.98%	16.82%	+13.5	13
2017-08-23	@ Vejle BK	L 0-2	1423	1531	16.82%	24.98%	58.20%	-13.5	7
2017-08-23	Fredericia	L 2-3	1542	1444	57.23%	25.19%	17.58%	-17.4	3
2017-08-23	@ Viborg	W 3-2	1444	1542	17.58%	25.19%	57.23%	+17.5	7
2017-08-23	Fremad Amager	L 0-1	1446	1333	58.76%	24.86%	16.38%	-20.0	6
2017-08-23	@ Nykobing	W 1-0	1333	1446	16.38%	24.86%	58.76%	+20.0	3
2017-08-23	HB Koge	L 0-3	1477	1478	45.72%	26.73%	27.54%	-44.0	7
2017-08-23	@ FC Roskilde	W 3-0	1478	1477	27.54%	26.73%	45.72%	+44.0	10
2017-08-23	Vendsyssel	L 1-2	1449	1531	34.66%	27.04%	38.31%	-12.2	9
2017-08-23	@ Thisted	W 2-1	1531	1449	38.31%	27.04%	34.66%	+12.2	11
2017-08-24	Esbjerg	L 1-2	1396	1512	30.06%	26.89%	43.05%	-11.0	1
2017-08-24	@ Skive	W 2-1	1512	1396	43.05%	26.89%	30.06%	+11.0	9
2017-08-27	FC Roskilde	W 2-1	1544	1433	58.56%	24.90%	16.54%	+6.6	16
2017-08-27	@ Vejle BK	L 1-2	1433	1544	16.54%	24.90%	58.56%	-6.7	7
2017-08-27	Fremad Amager	L 2-3	1461	1353	58.28%	24.96%	16.75%	-17.7	7
2017-08-27	@ Fredericia	W 3-2	1353	1461	16.75%	24.96%	58.28%	+17.7	6
2017-08-27	Nykobing	L 1-3	1523	1426	57.01%	25.24%	17.75%	-31.7	9
2017-08-27	@ Esbjerg	W 3-1	1426	1523	17.75%	25.24%	57.01%	+31.7	9
2017-08-27	Skive	D 0-0	1522	1385	61.00%	24.29%	14.70%	-4.1	11
2017-08-27	@ HB Koge	D 0-0	1385	1522	14.70%	24.29%	61.00%	+4.1	2
2017-08-27	Thisted	D 2-2	1409	1437	42.21%	26.93%	30.86%	-0.6	8
2017-08-27	@ Brabrand	D 2-2	1437	1409	30.86%	26.93%	42.21%	+0.6	10
2017-08-28	Viborg	L 1-2	1543	1525	48.20%	26.53%	25.28%	-15.8	11
2017-08-28	@ Vendsyssel	W 2-1	1525	1543	25.28%	26.53%	48.20%	+15.8	6
2017-09-02	Vendsyssel	L 0-2	1426	1527	31.96%	26.97%	41.06%	-23.0	7
2017-09-02	@ FC Roskilde	W 2-0	1527	1426	41.06%	26.97%	31.96%	+23.0	14
2017-09-03	Brabrand	W 1-0	1458	1409	51.93%	26.10%	21.97%	+9.1	12
2017-09-03	@ Nykobing	L 0-1	1409	1458	21.97%	26.10%	51.93%	-9.1	8
2017-09-03	Esbjerg	W 1-0	1370	1491	29.48%	26.86%	43.66%	+15.5	9
2017-09-03	@ Fremad Amager	L 0-1	1491	1370	43.66%	26.86%	29.48%	-15.5	9
2017-09-03	HB Koge	W 2-0	1438	1518	34.86%	27.04%	38.11%	+26.2	13
2017-09-03	@ Thisted	L 0-2	1518	1438	38.11%	27.04%	34.86%	-26.2	11
2017-09-10	FC Roskilde	D 2-2	1475	1403	54.50%	25.70%	19.79%	-2.0	10
2017-09-10	@ Esbjerg	D 2-2	1403	1475	19.79%	25.70%	54.50%	+2.0	8
2017-09-10	HB Koge	L 1-3	1400	1492	33.21%	27.01%	39.78%	-20.5	8
2017-09-10	@ Brabrand	W 3-1	1492	1400	39.78%	27.01%	33.21%	+20.5	14
2017-09-10	Nykobing	W 2-0	1444	1467	42.80%	26.90%	30.30%	+22.1	10
2017-09-10	@ Fredericia	L 0-2	1467	1444	30.30%	26.90%	42.80%	-22.1	12
2017-09-10	Skive	W 3-2	1541	1389	62.33%	23.92%	13.75%	+5.3	9
2017-09-10	@ Viborg	L 2-3	1389	1541	13.75%	23.92%	62.33%	-5.3	2
2017-09-10	Thisted	L 0-2	1386	1464	35.15%	27.04%	37.81%	-24.7	9
2017-09-10	@ Fremad Amager	W 2-0	1464	1386	37.81%	27.04%	35.15%	+24.7	16
2017-09-10	Vejle BK	D 1-1	1550	1551	45.82%	26.73%	27.45%	-1.3	15
2017-09-10	@ Vendsyssel	D 1-1	1551	1550	27.45%	26.73%	45.82%	+1.4	17
2017-09-13	Fredericia	D 2-2	1384	1466	34.56%	27.03%	38.40%	+0.2	3
2017-09-13	@ Skive	D 2-2	1466	1384	38.40%	27.03%	34.56%	-0.2	11
2017-09-13	Vejle BK	W 2-0	1546	1552	45.08%	26.78%	28.14%	+20.9	12
2017-09-13	@ Viborg	L 0-2	1552	1546	28.14%	26.78%	45.08%	-20.9	17
2017-09-17	Esbjerg	L 0-2	1379	1473	32.89%	27.00%	40.11%	-23.5	8
2017-09-17	@ Brabrand	W 2-0	1473	1379	40.11%	27.00%	32.89%	+23.5	13
2017-09-17	Fredericia	W 2-0	1531	1466	53.76%	25.83%	20.41%	+16.0	20
2017-09-17	@ Vejle BK	L 0-2	1466	1531	20.41%	25.83%	53.76%	-16.0	11
2017-09-17	Fremad Amager	L 0-1	1405	1361	51.28%	26.18%	22.54%	-17.7	8
2017-09-17	@ FC Roskilde	W 1-0	1361	1405	22.54%	26.18%	51.28%	+17.7	12
2017-09-17	Thisted	L 1-2	1445	1489	40.03%	27.00%	32.96%	-13.6	12
2017-09-17	@ Nykobing	W 2-1	1489	1445	32.96%	27.00%	40.03%	+13.6	19
2017-09-17	Vendsyssel	D 3-3	1384	1549	24.23%	26.41%	49.36%	+1.2	4
2017-09-17	@ Skive	D 3-3	1549	1384	49.36%	26.41%	24.23%	-1.2	16
2017-09-17	Viborg	W 3-0	1512	1567	38.47%	27.03%	34.50%	+35.4	17
2017-09-17	@ HB Koge	L 0-3	1567	1512	34.50%	27.03%	38.47%	-35.4	12
2017-09-24	Brabrand	W 5-1	1450	1355	56.80%	25.28%	17.92%	+22.6	14
2017-09-24	@ Fredericia	L 1-5	1355	1450	17.92%	25.28%	56.80%	-22.6	8
2017-09-24	FC Roskilde	W 4-3	1531	1387	61.65%	24.12%	14.24%	+5.3	15
2017-09-24	@ Viborg	L 3-4	1387	1531	14.24%	24.12%	61.65%	-5.3	8
2017-09-24	HB Koge	D 1-1	1497	1547	39.06%	27.02%	33.92%	-0.4	14
2017-09-24	@ Esbjerg	D 1-1	1547	1497	33.92%	27.02%	39.06%	+0.4	18
2017-09-24	Nykobing	W 4-2	1548	1431	59.03%	24.79%	16.18%	+10.1	19
2017-09-24	@ Vendsyssel	L 2-4	1431	1548	16.18%	24.79%	59.03%	-10.1	12
2017-09-24	Skive	W 1-0	1379	1385	45.09%	26.78%	28.13%	+11.1	15
2017-09-24	@ Fremad Amager	L 0-1	1385	1379	28.13%	26.78%	45.09%	-11.1	4
2017-09-24	Vejle BK	D 1-1	1502	1547	39.83%	27.01%	33.16%	-0.5	20
2017-09-24	@ Thisted	D 1-1	1547	1502	33.16%	27.01%	39.83%	+0.5	21
2017-10-01	Brabrand	W 4-0	1537	1333	66.71%	22.46%	10.83%	+16.6	18
2017-10-01	@ Viborg	L 0-4	1333	1537	10.83%	22.46%	66.71%	-16.6	8
2017-10-01	Fredericia	D 0-0	1548	1472	54.85%	25.64%	19.50%	-3.1	19
2017-10-01	@ HB Koge	D 0-0	1472	1548	19.50%	25.64%	54.85%	+3.1	15
2017-10-01	Fremad Amager	W 1-0	1548	1390	62.87%	23.76%	13.37%	+5.8	24
2017-10-01	@ Vejle BK	L 0-1	1390	1548	13.37%	23.76%	62.87%	-5.8	15
2017-10-01	Nykobing	W 2-0	1382	1421	40.62%	26.99%	32.40%	+23.3	11
2017-10-01	@ FC Roskilde	L 0-2	1421	1382	32.40%	26.99%	40.62%	-23.3	12
2017-10-01	Thisted	L 1-2	1374	1502	28.54%	26.80%	44.65%	-10.6	4
2017-10-01	@ Skive	W 2-1	1502	1374	44.65%	26.80%	28.54%	+10.6	23
2017-10-02	Esbjerg	L 1-3	1558	1497	53.28%	25.90%	20.82%	-29.9	19
2017-10-02	@ Vendsyssel	W 3-1	1497	1558	20.82%	25.90%	53.28%	+29.9	17
2017-10-08	Skive	L 0-3	1316	1363	39.54%	27.01%	33.44%	-39.2	8
2017-10-08	@ Brabrand	W 3-0	1363	1316	33.44%	27.01%	39.54%	+39.2	7
2017-10-08	Thisted	L 1-3	1475	1512	40.94%	26.98%	32.09%	-24.0	15
2017-10-08	@ Fredericia	W 3-1	1512	1475	32.09%	26.98%	40.94%	+24.0	26
2017-10-10	Vendsyssel	D 1-1	1384	1528	26.63%	26.66%	46.71%	+1.5	16
2017-10-10	@ Fremad Amager	D 1-1	1528	1384	46.71%	26.66%	26.63%	-1.5	20
2017-10-11	FC Roskilde	L 1-3	1545	1405	61.23%	24.23%	14.54%	-33.8	19
2017-10-11	@ HB Koge	W 3-1	1405	1545	14.54%	24.23%	61.23%	+33.8	14
2017-10-15	Brabrand	D 2-2	1536	1277	70.85%	20.74%	8.41%	-3.8	27
2017-10-15	@ Thisted	D 2-2	1277	1536	8.41%	20.74%	70.85%	+3.8	9
2017-10-15	Esbjerg	L 1-3	1554	1526	49.29%	26.42%	24.29%	-27.9	24
2017-10-15	@ Vejle BK	W 3-1	1526	1554	24.29%	26.42%	49.29%	+27.9	20
2017-10-15	FC Roskilde	L 0-2	1403	1439	41.02%	26.97%	32.00%	-27.8	7
2017-10-15	@ Skive	W 2-0	1439	1403	32.00%	26.97%	41.02%	+27.8	17
2017-10-15	Fremad Amager	D 0-0	1553	1386	63.73%	23.50%	12.78%	-4.6	19
2017-10-15	@ Viborg	D 0-0	1386	1553	12.78%	23.50%	63.73%	+4.6	17
2017-10-15	HB Koge	W 2-0	1526	1511	47.86%	26.56%	25.58%	+19.4	23
2017-10-15	@ Vendsyssel	L 0-2	1511	1526	25.58%	26.56%	47.86%	-19.4	19
2017-10-22	Fredericia	D 1-1	1467	1451	47.86%	26.56%	25.58%	-1.7	18
2017-10-22	@ FC Roskilde	D 1-1	1451	1467	25.58%	26.56%	47.86%	+1.7	16
2017-10-22	Fremad Amager	W 5-2	1554	1390	63.42%	23.59%	12.99%	+11.2	23
2017-10-22	@ Esbjerg	L 2-5	1390	1554	12.99%	23.59%	63.42%	-11.2	17
2017-10-22	HB Koge	W 2-1	1375	1492	29.93%	26.89%	43.18%	+14.5	10
2017-10-22	@ Skive	L 1-2	1492	1375	43.18%	26.89%	29.93%	-14.5	19
2017-10-22	Nykobing	L 0-1	1533	1398	60.76%	24.36%	14.88%	-20.6	27
2017-10-22	@ Thisted	W 1-0	1398	1533	14.88%	24.36%	60.76%	+20.6	15
2017-10-22	Vendsyssel	W 2-1	1281	1546	15.36%	24.53%	60.11%	+19.2	12
2017-10-22	@ Brabrand	L 1-2	1546	1281	60.11%	24.53%	15.36%	-19.2	23
2017-10-22	Viborg	W 3-1	1526	1549	42.84%	26.90%	30.26%	+19.1	27
2017-10-22	@ Vejle BK	L 1-3	1549	1526	30.26%	26.90%	42.84%	-19.1	19
2017-10-25	Vejle BK	D 1-1	1419	1545	28.76%	26.82%	44.42%	+1.1	16
2017-10-25	@ Nykobing	D 1-1	1545	1419	44.42%	26.82%	28.76%	-1.1	28
2017-10-25	Viborg	D 0-0	1566	1530	50.35%	26.30%	23.36%	-2.3	24
2017-10-25	@ Esbjerg	D 0-0	1530	1566	23.36%	26.30%	50.35%	+2.3	20
2017-10-29	Brabrand	W 1-0	1477	1300	64.53%	23.24%	12.24%	+5.3	22
2017-10-29	@ HB Koge	L 0-1	1300	1477	12.24%	23.24%	64.53%	-5.3	12
2017-10-29	Esbjerg	D 0-0	1420	1563	26.67%	26.66%	46.67%	+1.7	17
2017-10-29	@ Nykobing	D 0-0	1563	1420	46.67%	26.66%	26.67%	-1.7	25
2017-10-29	FC Roskilde	L 0-1	1379	1465	34.03%	27.03%	38.95%	-12.8	17
2017-10-29	@ Fremad Amager	W 1-0	1465	1379	38.95%	27.03%	34.03%	+12.8	21
2017-10-29	Skive	W 2-0	1527	1389	61.03%	24.29%	14.68%	+11.9	26
2017-10-29	@ Vendsyssel	L 0-2	1389	1527	14.68%	24.29%	61.03%	-11.9	10
2017-10-29	Thisted	D 2-2	1532	1512	48.41%	26.51%	25.09%	-1.3	21
2017-10-29	@ Viborg	D 2-2	1512	1532	25.09%	26.51%	48.41%	+1.3	28
2017-10-29	Vejle BK	L 0-1	1453	1544	33.38%	27.01%	39.60%	-12.6	16
2017-10-29	@ Fredericia	W 1-0	1544	1453	39.60%	27.01%	33.38%	+12.6	31
2017-11-05	FC Roskilde	W 3-2	1421	1478	38.22%	27.04%	34.75%	+11.6	20
2017-11-05	@ Nykobing	L 2-3	1478	1421	34.75%	27.04%	38.22%	-11.6	21
2017-11-05	Fremad Amager	W 4-0	1482	1366	59.01%	24.80%	16.19%	+24.7	25
2017-11-05	@ HB Koge	L 0-4	1366	1482	16.19%	24.80%	59.01%	-24.7	17
2017-11-05	Skive	W 2-1	1513	1377	60.89%	24.33%	14.79%	+6.0	31
2017-11-05	@ Thisted	L 1-2	1377	1513	14.79%	24.33%	60.89%	-6.0	10
2017-11-05	Vejle BK	L 1-2	1295	1556	15.62%	24.61%	59.77%	-6.3	12
2017-11-05	@ Brabrand	W 2-1	1556	1295	59.77%	24.61%	15.62%	+6.3	34
2017-11-05	Vendsyssel	L 2-4	1562	1539	48.79%	26.47%	24.74%	-24.8	25
2017-11-05	@ Esbjerg	W 4-2	1539	1562	24.74%	26.47%	48.79%	+24.8	29
2017-11-06	Viborg	D 2-2	1440	1531	33.44%	27.01%	39.55%	+0.3	17
2017-11-06	@ Fredericia	D 2-2	1531	1440	39.55%	27.01%	33.44%	-0.3	22
2017-11-12	Esbjerg	L 0-4	1466	1537	36.21%	27.05%	36.74%	-48.0	21
2017-11-12	@ FC Roskilde	W 4-0	1537	1466	36.74%	27.05%	36.21%	+48.0	28
2017-11-12	Fredericia	L 1-3	1342	1441	32.25%	26.98%	40.77%	-20.1	17
2017-11-12	@ Fremad Amager	W 3-1	1441	1342	40.77%	26.98%	32.25%	+20.1	20
2017-11-12	Nykobing	D 1-1	1288	1433	26.55%	26.65%	46.80%	+1.5	13
2017-11-12	@ Brabrand	D 1-1	1433	1288	46.80%	26.65%	26.55%	-1.5	21
2017-11-12	Viborg	L 1-3	1371	1530	24.91%	26.49%	48.60%	-16.4	10
2017-11-12	@ Skive	W 3-1	1530	1371	48.60%	26.49%	24.91%	+16.4	25
2017-11-13	Thisted	W 4-1	1563	1519	51.31%	26.18%	22.52%	+21.4	32
2017-11-13	@ Vendsyssel	L 1-4	1519	1563	22.52%	26.18%	51.31%	-21.4	31
2017-11-14	HB Koge	D 0-0	1563	1507	52.61%	26.00%	21.39%	-2.7	35
2017-11-14	@ Vejle BK	D 0-0	1507	1563	21.39%	26.00%	52.61%	+2.7	26
2017-11-15	Fredericia	L 2-3	1432	1461	42.03%	26.94%	31.03%	-13.4	21
2017-11-15	@ Nykobing	W 3-2	1461	1432	31.03%	26.94%	42.03%	+13.4	23
2017-11-19	Brabrand	W 4-0	1585	1290	73.27%	19.58%	7.15%	+10.6	31
2017-11-19	@ Esbjerg	L 0-4	1290	1585	7.15%	19.58%	73.27%	-10.6	13
2017-11-19	FC Roskilde	D 1-1	1498	1418	55.27%	25.57%	19.16%	-2.8	32
2017-11-19	@ Thisted	D 1-1	1418	1498	19.16%	25.57%	55.27%	+2.8	22
2017-11-19	HB Koge	D 2-2	1418	1510	33.25%	27.01%	39.74%	+0.3	22
2017-11-19	@ Nykobing	D 2-2	1510	1418	39.74%	27.01%	33.25%	-0.3	27
2017-11-19	Skive	W 3-2	1474	1355	59.30%	24.73%	15.97%	+6.1	26
2017-11-19	@ Fredericia	L 2-3	1355	1474	15.97%	24.73%	59.30%	-6.1	10
2017-11-19	Vejle BK	W 1-0	1321	1560	17.36%	25.13%	57.51%	+19.6	20
2017-11-19	@ Fremad Amager	L 0-1	1560	1321	57.51%	25.13%	17.36%	-19.6	35
2017-11-19	Vendsyssel	W 2-0	1547	1585	40.81%	26.98%	32.20%	+23.2	28
2017-11-19	@ Viborg	L 0-2	1585	1547	32.20%	26.98%	40.81%	-23.2	32
2017-11-26	Esbjerg	W 3-0	1509	1595	34.04%	27.03%	38.93%	+38.7	30
2017-11-26	@ HB Koge	L 0-3	1595	1509	38.93%	27.03%	34.04%	-38.7	31
2017-11-26	Fredericia	L 0-3	1279	1480	20.62%	25.87%	53.51%	-23.5	13
2017-11-26	@ Brabrand	W 3-0	1480	1279	53.51%	25.87%	20.62%	+23.5	29
2017-11-26	Fremad Amager	W 2-1	1495	1341	62.54%	23.86%	13.60%	+5.5	35
2017-11-26	@ Thisted	L 1-2	1341	1495	13.60%	23.86%	62.54%	-5.5	20
2017-11-26	Nykobing	D 4-4	1349	1418	36.35%	27.05%	36.61%	+0.0	11
2017-11-26	@ Skive	D 4-4	1418	1349	36.61%	27.05%	36.35%	-0.0	23
2017-11-26	Vendsyssel	W 4-1	1540	1562	43.10%	26.89%	30.01%	+26.9	38
2017-11-26	@ Vejle BK	L 1-4	1562	1540	30.01%	26.89%	43.10%	-26.9	32
2017-11-26	Viborg	W 1-0	1421	1570	26.06%	26.61%	47.33%	+16.5	25
2017-11-26	@ FC Roskilde	L 0-1	1570	1421	47.33%	26.61%	26.06%	-16.5	28
2018-03-02	Thisted	D 0-0	1567	1501	53.86%	25.81%	20.33%	-2.9	39
2018-03-02	@ Vejle BK	D 0-0	1501	1567	20.33%	25.81%	53.86%	+2.9	36
2018-03-04	Brabrand	W 2-1	1335	1256	55.28%	25.57%	19.15%	+7.6	23
2018-03-04	@ Fremad Amager	L 1-2	1256	1335	19.15%	25.57%	55.28%	-7.6	13
2018-03-04	FC Roskilde	W 2-0	1535	1438	57.09%	25.22%	17.69%	+14.1	35
2018-03-04	@ Vendsyssel	L 0-2	1438	1535	17.69%	25.22%	57.09%	-14.1	25
2018-03-04	Nykobing	W 3-1	1553	1418	60.79%	24.35%	14.86%	+10.4	31
2018-03-04	@ Viborg	L 1-3	1418	1553	14.86%	24.35%	60.79%	-10.4	23
2018-03-04	Skive	W 2-0	1557	1349	67.02%	22.34%	10.63%	+8.6	34
2018-03-04	@ Esbjerg	L 0-2	1349	1557	10.63%	22.34%	67.02%	-8.6	11
2018-03-11	Esbjerg	W 4-2	1504	1565	37.51%	27.04%	35.45%	+19.3	32
2018-03-11	@ Fredericia	L 2-4	1565	1504	35.45%	27.04%	37.51%	-19.3	34
2018-03-11	Fremad Amager	L 0-1	1340	1343	45.53%	26.75%	27.73%	-16.0	11
2018-03-11	@ Skive	W 1-0	1343	1340	27.73%	26.75%	45.53%	+16.0	26
2018-03-11	Thisted	W 3-2	1548	1503	51.38%	26.17%	22.45%	+8.2	33
2018-03-11	@ HB Koge	L 2-3	1503	1548	22.45%	26.17%	51.38%	-8.3	36
2018-03-11	Vejle BK	D 0-0	1424	1564	26.99%	26.69%	46.32%	+1.6	26
2018-03-11	@ FC Roskilde	D 0-0	1564	1424	46.32%	26.69%	26.99%	-1.6	40
2018-03-11	Viborg	D 0-0	1248	1564	12.18%	23.21%	64.61%	+4.8	14
2018-03-11	@ Brabrand	D 0-0	1564	1248	64.61%	23.21%	12.18%	-4.8	32
2018-03-16	Skive	D 0-0	1563	1324	69.35%	21.40%	9.25%	-5.5	41
2018-03-16	@ Vejle BK	D 0-0	1324	1563	9.25%	21.40%	69.35%	+5.5	12
2018-03-18	Brabrand	W 3-2	1425	1253	64.10%	23.38%	12.52%	+4.8	29
2018-03-18	@ FC Roskilde	L 2-3	1253	1425	12.52%	23.38%	64.10%	-4.8	14
2018-03-18	Esbjerg	L 0-3	1495	1546	39.03%	27.02%	33.94%	-38.8	36
2018-03-18	@ Thisted	W 3-0	1546	1495	33.94%	27.02%	39.03%	+38.8	37
2018-03-18	Fredericia	D 0-0	1549	1523	49.12%	26.43%	24.45%	-2.1	36
2018-03-18	@ Vendsyssel	D 0-0	1523	1549	24.45%	26.43%	49.12%	+2.1	33
2018-03-18	HB Koge	W 1-0	1559	1556	46.22%	26.70%	27.09%	+10.8	35
2018-03-18	@ Viborg	L 0-1	1556	1559	27.09%	26.70%	46.22%	-10.8	33
2018-03-18	Nykobing	D 0-0	1359	1408	39.29%	27.02%	33.69%	-0.4	27
2018-03-18	@ Fremad Amager	D 0-0	1408	1359	33.69%	27.02%	39.29%	+0.4	24
2018-03-25	Brabrand	D 1-1	1330	1248	55.48%	25.53%	18.98%	-2.8	13
2018-03-25	@ Skive	D 1-1	1248	1330	18.98%	25.53%	55.48%	+2.8	15
2018-03-25	Thisted	D 3-3	1408	1456	39.43%	27.02%	33.55%	-0.2	25
2018-03-25	@ Nykobing	D 3-3	1456	1408	33.55%	27.02%	39.43%	+0.2	37
2018-03-25	Vendsyssel	L 1-2	1546	1547	45.77%	26.73%	27.50%	-15.2	33
2018-03-25	@ HB Koge	W 2-1	1547	1546	27.50%	26.73%	45.77%	+15.1	39
2018-03-29	Esbjerg	W 3-2	1562	1585	42.86%	26.90%	30.23%	+10.5	42
2018-03-29	@ Vendsyssel	L 2-3	1585	1562	30.23%	26.90%	42.86%	-10.5	37
2018-03-29	Fredericia	D 1-1	1457	1525	36.52%	27.05%	36.43%	+0.0	38
2018-03-29	@ Thisted	D 1-1	1525	1457	36.43%	27.05%	36.52%	+0.0	34
2018-03-29	Fremad Amager	D 1-1	1557	1359	66.29%	22.62%	11.09%	-4.5	42
2018-03-29	@ Vejle BK	D 1-1	1359	1557	11.09%	22.62%	66.29%	+4.5	28
2018-03-29	HB Koge	W 2-1	1251	1531	14.37%	24.17%	61.46%	+19.6	18
2018-03-29	@ Brabrand	L 1-2	1531	1251	61.46%	24.17%	14.37%	-19.6	33
2018-03-29	Nykobing	L 0-1	1430	1408	48.63%	26.48%	24.89%	-16.9	29
2018-03-29	@ FC Roskilde	W 1-0	1408	1430	24.89%	26.48%	48.63%	+16.9	28
2018-03-29	Skive	W 1-0	1570	1327	69.67%	21.27%	9.06%	+3.8	38
2018-03-29	@ Viborg	L 0-1	1327	1570	9.06%	21.27%	69.67%	-3.9	13
2018-04-02	Brabrand	D 1-1	1525	1271	70.51%	20.90%	8.60%	-5.1	35
2018-04-02	@ Fredericia	D 1-1	1271	1525	8.60%	20.90%	70.51%	+5.1	19
2018-04-02	FC Roskilde	W 2-0	1574	1413	63.11%	23.69%	13.20%	+10.7	41
2018-04-02	@ Viborg	L 0-2	1413	1574	13.20%	23.69%	63.11%	-10.7	29
2018-04-02	Fremad Amager	D 0-0	1572	1363	67.13%	22.30%	10.57%	-5.2	43
2018-04-02	@ Vendsyssel	D 0-0	1363	1572	10.57%	22.30%	67.13%	+5.2	29
2018-04-02	Nykobing	W 5-2	1574	1425	62.10%	23.99%	13.91%	+12.0	40
2018-04-02	@ Esbjerg	L 2-5	1425	1574	13.91%	23.99%	62.10%	-12.0	28
2018-04-02	Thisted	D 1-1	1323	1457	27.85%	26.76%	45.40%	+1.3	14
2018-04-02	@ Skive	D 1-1	1457	1323	45.40%	26.76%	27.85%	-1.3	39
2018-04-02	Vejle BK	D 1-1	1511	1553	40.30%	27.00%	32.71%	-0.5	34
2018-04-02	@ HB Koge	D 1-1	1553	1511	32.71%	27.00%	40.30%	+0.5	43
2018-04-05	HB Koge	L 0-1	1520	1510	47.11%	26.62%	26.26%	-16.5	35
2018-04-05	@ Fredericia	W 1-0	1510	1520	26.26%	26.62%	47.11%	+16.5	37
2018-04-08	Brabrand	L 0-1	1553	1276	72.11%	20.15%	7.74%	-23.7	43
2018-04-08	@ Vejle BK	W 1-0	1276	1553	7.74%	20.15%	72.11%	+23.7	22
2018-04-08	Esbjerg	L 0-1	1368	1586	19.07%	25.55%	55.38%	-8.0	29
2018-04-08	@ Fremad Amager	W 1-0	1586	1368	55.38%	25.55%	19.07%	+8.0	43
2018-04-08	Fredericia	L 0-1	1324	1504	22.75%	26.21%	51.03%	-9.3	14
2018-04-08	@ Skive	W 1-0	1504	1324	51.03%	26.21%	22.75%	+9.3	38
2018-04-08	HB Koge	L 0-1	1455	1527	36.07%	27.05%	36.88%	-13.4	39
2018-04-08	@ Thisted	W 1-0	1527	1455	36.88%	27.05%	36.07%	+13.4	40
2018-04-08	Vendsyssel	D 2-2	1402	1567	24.26%	26.41%	49.32%	+1.4	30
2018-04-08	@ FC Roskilde	D 2-2	1567	1402	49.32%	26.41%	24.26%	-1.4	44
2018-04-11	Vendsyssel	D 1-1	1413	1566	25.62%	26.56%	47.81%	+1.6	29
2018-04-11	@ Nykobing	D 1-1	1566	1413	47.81%	26.56%	25.62%	-1.6	45
2018-04-11	Viborg	W 3-0	1360	1584	18.55%	25.43%	56.02%	+52.4	32
2018-04-11	@ Fremad Amager	L 0-3	1584	1360	56.02%	25.43%	18.55%	-52.4	41
2018-04-15	Fredericia	W 2-0	1532	1513	48.30%	26.52%	25.18%	+19.1	44
2018-04-15	@ Viborg	L 0-2	1513	1532	25.18%	26.52%	48.30%	-19.1	38
2018-04-15	Fremad Amager	D 1-1	1299	1413	30.39%	26.91%	42.70%	+0.9	23
2018-04-15	@ Brabrand	D 1-1	1413	1299	42.70%	26.91%	30.39%	-0.9	33
2018-04-15	Nykobing	L 0-3	1540	1415	59.91%	24.58%	15.52%	-55.6	40
2018-04-15	@ HB Koge	W 3-0	1415	1540	15.52%	24.58%	59.91%	+55.6	32
2018-04-15	Skive	L 0-1	1404	1315	56.24%	25.39%	18.37%	-19.2	30
2018-04-15	@ FC Roskilde	W 1-0	1315	1404	18.37%	25.39%	56.24%	+19.2	17
2018-04-15	Thisted	W 2-0	1594	1442	62.38%	23.91%	13.71%	+11.1	46
2018-04-15	@ Esbjerg	L 0-2	1442	1594	13.71%	23.91%	62.38%	-11.1	39
2018-04-15	Vejle BK	L 1-2	1564	1530	50.19%	26.32%	23.50%	-16.4	45
2018-04-15	@ Vendsyssel	W 2-1	1530	1564	23.50%	26.32%	50.19%	+16.4	46
2018-04-20	Esbjerg	L 0-3	1300	1605	12.78%	23.50%	63.73%	-15.1	23
2018-04-20	@ Brabrand	W 3-0	1605	1300	63.73%	23.50%	12.78%	+15.1	49
2018-04-20	FC Roskilde	D 1-1	1546	1385	63.18%	23.67%	13.15%	-4.0	47
2018-04-20	@ Vejle BK	D 1-1	1385	1546	13.15%	23.67%	63.18%	+4.0	31
2018-04-20	HB Koge	L 0-1	1412	1485	35.89%	27.05%	37.07%	-13.3	33
2018-04-20	@ Fremad Amager	W 1-0	1485	1412	37.07%	27.05%	35.89%	+13.3	43
2018-04-20	Nykobing	W 1-0	1494	1470	48.82%	26.47%	24.71%	+10.0	41
2018-04-20	@ Fredericia	L 0-1	1470	1494	24.71%	26.47%	48.82%	-10.0	32
2018-04-20	Vendsyssel	L 0-2	1334	1548	19.47%	25.64%	54.90%	-15.4	17
2018-04-20	@ Skive	W 2-0	1548	1334	54.90%	25.64%	19.47%	+15.4	48
2018-04-20	Viborg	L 0-3	1431	1551	29.51%	26.86%	43.63%	-31.5	39
2018-04-20	@ Thisted	W 3-0	1551	1431	43.63%	26.86%	29.51%	+31.5	47
2018-04-24	Vejle BK	L 0-1	1620	1542	55.17%	25.59%	19.24%	-18.9	49
2018-04-24	@ Esbjerg	W 1-0	1542	1620	19.24%	25.59%	55.17%	+18.9	50
2018-04-24	Viborg	D 3-3	1460	1583	29.27%	26.85%	43.88%	+0.7	33
2018-04-24	@ Nykobing	D 3-3	1583	1460	43.88%	26.85%	29.27%	-0.7	48
2018-04-28	Brabrand	D 1-1	1563	1285	72.13%	20.14%	7.73%	-5.3	49
2018-04-28	@ Vendsyssel	D 1-1	1285	1563	7.73%	20.14%	72.13%	+5.3	24
2018-04-28	Fremad Amager	W 3-2	1461	1398	53.42%	25.88%	20.70%	+7.7	36
2018-04-28	@ Nykobing	L 2-3	1398	1461	20.70%	25.88%	53.42%	-7.7	33
2018-04-28	Skive	D 0-0	1498	1319	64.70%	23.18%	12.12%	-4.8	44
2018-04-28	@ HB Koge	D 0-0	1319	1498	12.12%	23.18%	64.70%	+4.8	18
2018-04-28	Thisted	W 3-1	1389	1399	44.48%	26.81%	28.71%	+18.4	34
2018-04-28	@ FC Roskilde	L 1-3	1399	1389	28.71%	26.81%	44.48%	-18.4	39
2018-04-28	Vejle BK	L 0-1	1582	1561	48.56%	26.49%	24.95%	-16.9	48
2018-04-28	@ Viborg	W 1-0	1561	1582	24.95%	26.49%	48.56%	+16.9	53
2018-04-29	Esbjerg	L 1-3	1504	1602	32.41%	26.99%	40.60%	-20.2	41
2018-04-29	@ Fredericia	W 3-1	1602	1504	40.60%	26.99%	32.41%	+20.2	52
2018-05-02	FC Roskilde	D 0-0	1484	1407	54.96%	25.63%	19.42%	-3.1	42
2018-05-02	@ Fredericia	D 0-0	1407	1484	19.42%	25.63%	54.96%	+3.1	35
2018-05-05	FC Roskilde	W 2-1	1622	1410	67.33%	22.23%	10.44%	+4.2	55
2018-05-05	@ Esbjerg	L 1-2	1410	1622	10.44%	22.23%	67.33%	-4.2	35
2018-05-05	Fredericia	W 1-0	1493	1480	47.51%	26.59%	25.90%	+10.4	47
2018-05-05	@ HB Koge	L 0-1	1480	1493	25.90%	26.59%	47.51%	-10.4	42
2018-05-05	Skive	W 1-0	1391	1324	53.93%	25.80%	20.27%	+8.5	36
2018-05-05	@ Fremad Amager	L 0-1	1324	1391	20.27%	25.80%	53.93%	-8.5	18
2018-05-05	Thisted	W 1-0	1291	1381	33.42%	27.01%	39.57%	+14.3	27
2018-05-05	@ Brabrand	L 0-1	1381	1291	39.57%	27.01%	33.42%	-14.3	39
2018-05-05	Viborg	L 1-3	1558	1565	44.96%	26.78%	28.25%	-25.9	49
2018-05-05	@ Vendsyssel	W 3-1	1565	1558	28.25%	26.78%	44.96%	+25.9	51
2018-05-06	Nykobing	W 2-1	1578	1469	58.29%	24.96%	16.75%	+6.7	56
2018-05-06	@ Vejle BK	L 1-2	1469	1578	16.75%	24.96%	58.29%	-6.7	36
2018-05-12	Brabrand	L 1-2	1462	1305	62.81%	23.78%	13.41%	-20.0	36
2018-05-12	@ Nykobing	W 2-1	1305	1462	13.41%	23.78%	62.81%	+20.0	30
2018-05-12	Esbjerg	D 0-0	1591	1626	41.20%	26.97%	31.83%	-0.8	52
2018-05-12	@ Viborg	D 0-0	1626	1591	31.83%	26.97%	41.20%	+0.8	56
2018-05-12	Fremad Amager	L 0-2	1470	1399	54.33%	25.73%	19.93%	-35.1	42
2018-05-12	@ Fredericia	W 2-0	1399	1470	19.93%	25.73%	54.33%	+35.1	39
2018-05-12	HB Koge	L 1-3	1406	1504	32.43%	26.99%	40.58%	-20.2	35
2018-05-12	@ FC Roskilde	W 3-1	1504	1406	40.58%	26.99%	32.43%	+20.2	50
2018-05-12	Vejle BK	L 0-3	1315	1584	15.07%	24.43%	60.50%	-17.7	18
2018-05-12	@ Skive	W 3-0	1584	1315	60.50%	24.43%	15.07%	+17.7	59
2018-05-12	Vendsyssel	L 1-3	1367	1532	24.22%	26.41%	49.37%	-16.0	39
2018-05-12	@ Thisted	W 3-1	1532	1367	49.37%	26.41%	24.22%	+16.0	52
2018-05-16	Esbjerg	L 0-1	1297	1627	11.44%	22.81%	65.75%	-4.9	18
2018-05-16	@ Skive	W 1-0	1627	1297	65.75%	22.81%	11.44%	+4.9	59
2018-05-16	FC Roskilde	W 2-1	1325	1386	37.62%	27.04%	35.34%	+12.4	33
2018-05-16	@ Brabrand	L 1-2	1386	1325	35.34%	27.04%	37.62%	-12.4	35
2018-05-16	Fredericia	W 1-0	1602	1435	63.67%	23.51%	12.81%	+5.5	62
2018-05-16	@ Vejle BK	L 0-1	1435	1602	12.81%	23.51%	63.67%	-5.5	42
2018-05-16	Nykobing	D 1-1	1548	1442	58.00%	25.03%	16.98%	-3.2	53
2018-05-16	@ Vendsyssel	D 1-1	1442	1548	16.98%	25.03%	58.00%	+3.2	37
2018-05-16	Thisted	D 0-0	1434	1351	55.71%	25.49%	18.80%	-3.2	40
2018-05-16	@ Fremad Amager	D 0-0	1351	1434	18.80%	25.49%	55.71%	+3.2	40
2018-05-16	Viborg	D 1-1	1524	1590	36.81%	27.05%	36.14%	-0.0	51
2018-05-16	@ HB Koge	D 1-1	1590	1524	36.14%	27.05%	36.81%	+0.1	53
2018-05-20	Brabrand	D 3-3	1590	1337	70.39%	20.95%	8.66%	-3.1	54
2018-05-20	@ Viborg	D 3-3	1337	1590	8.66%	20.95%	70.39%	+3.1	34
2018-05-20	Fremad Amager	W 2-0	1373	1431	38.02%	27.04%	34.94%	+24.6	38
2018-05-20	@ FC Roskilde	L 0-2	1431	1373	34.94%	27.04%	38.02%	-24.6	40
2018-05-20	HB Koge	D 0-0	1632	1524	58.21%	24.98%	16.81%	-3.7	60
2018-05-20	@ Esbjerg	D 0-0	1524	1632	16.81%	24.98%	58.21%	+3.6	52
2018-05-20	Skive	W 4-0	1445	1293	62.43%	23.89%	13.68%	+21.1	40
2018-05-20	@ Nykobing	L 0-4	1293	1445	13.68%	23.89%	62.43%	-21.1	18
2018-05-20	Vejle BK	L 0-2	1354	1608	16.18%	24.79%	59.02%	-13.0	40
2018-05-20	@ Thisted	W 2-0	1608	1354	59.02%	24.79%	16.18%	+13.0	65
2018-05-20	Vendsyssel	L 1-3	1429	1545	30.13%	26.90%	42.98%	-19.1	42
2018-05-20	@ Fredericia	W 3-1	1545	1429	42.98%	26.90%	30.13%	+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 %	Elo Δ	Record
2018-05-24	Esbjerg	W 1-0	1521	1628	31.19%	26.94%	41.86%	+15.0	1-0
2018-05-24	@ Silkeborg	L 0-1	1628	1521	41.86%	26.94%	31.19%	-15.0	0-1
2018-05-24	Lyngby	W 1-0	1564	1459	57.92%	25.04%	17.04%	+7.2	1-0
2018-05-24	@ Vendsyssel	L 0-1	1459	1564	17.04%	25.04%	57.92%	-7.2	0-1
2018-05-27	Silkeborg	W 3-0	1613	1536	55.01%	25.62%	19.37%	+22.3	1-1
2018-05-27	@ Esbjerg	L 0-3	1536	1613	19.37%	25.62%	55.01%	-22.3	1-1
2018-05-27	Vendsyssel	L 1-2	1451	1571	29.58%	26.87%	43.55%	-10.9	0-2
2018-05-27	@ Lyngby	W 2-1	1571	1451	43.55%	26.87%	29.58%	+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	1276	1	@ Vejle BK	1553	0
2	2018-05-12	13.41%	Brabrand	1305	2	@ Nykobing	1462	1
3	2018-03-29	14.37%	@ Brabrand	1251	2	HB Koge	1531	1
4	2017-10-11	14.54%	FC Roskilde	1405	3	@ HB Koge	1545	1
5	2017-10-22	14.88%	Nykobing	1398	1	@ Thisted	1533	0
6	2017-10-22	15.36%	@ Brabrand	1281	2	Vendsyssel	1546	1
7	2018-04-15	15.52%	Nykobing	1415	3	@ HB Koge	1540	0
8	2017-08-23	16.38%	Fremad Amager	1333	1	@ Nykobing	1446	0
9	2017-08-27	16.75%	Fremad Amager	1353	3	@ Fredericia	1461	2
10	2017-11-19	17.36%	@ Fremad Amager	1321	1	Vejle BK	1560	0
11	2017-08-20	17.52%	Thisted	1431	2	@ Esbjerg	1530	1
12	2017-08-23	17.58%	Fredericia	1444	3	@ Viborg	1542	2
13	2017-08-27	17.75%	Nykobing	1426	3	@ Esbjerg	1523	1
14	2018-04-15	18.37%	Skive	1315	1	@ FC Roskilde	1404	0
15	2018-04-11	18.55%	@ Fremad Amager	1360	3	Viborg	1584	0
16	2018-04-24	19.24%	Vejle BK	1542	1	@ Esbjerg	1620	0
17	2018-05-12	19.93%	Fremad Amager	1399	2	@ Fredericia	1470	0
18	2017-10-02	20.82%	Esbjerg	1497	3	@ Vendsyssel	1558	1
19	2017-09-17	22.54%	Fremad Amager	1361	1	@ FC Roskilde	1405	0
20	2018-04-15	23.50%	Vejle BK	1530	2	@ Vendsyssel	1564	1
21	2017-08-13	23.90%	Vejle BK	1515	2	@ Esbjerg	1546	1
22	2017-08-13	24.23%	Fredericia	1431	3	@ Thisted	1459	1
23	2017-10-15	24.29%	Esbjerg	1526	3	@ Vejle BK	1554	1
24	2017-11-05	24.74%	Vendsyssel	1539	4	@ Esbjerg	1562	2
25	2018-03-29	24.89%	Nykobing	1408	1	@ FC Roskilde	1430	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	70.70	Viborg	6	1472	36.40%	@ Fremad Amager	0	1403	36.56%	27.05%
2	2018-04-15	55.63	Nykobing	3	1415	15.52%	@ HB Koge	0	1540	59.91%	24.58%
3	2018-04-11	52.40	@ Fremad Amager	3	1360	18.55%	Viborg	0	1584	56.02%	25.43%
4	2017-11-12	47.97	Esbjerg	4	1537	36.74%	@ FC Roskilde	0	1466	36.21%	27.05%
5	2017-08-23	43.99	HB Koge	3	1478	27.54%	@ FC Roskilde	0	1477	45.72%	26.73%
6	2017-10-08	39.21	Skive	3	1363	33.44%	@ Brabrand	0	1316	39.54%	27.01%
7	2018-03-18	38.82	Esbjerg	3	1546	33.94%	@ Thisted	0	1495	39.03%	27.02%
8	2017-11-26	38.74	@ HB Koge	3	1509	34.04%	Esbjerg	0	1595	38.93%	27.03%
9	2017-09-17	35.43	@ HB Koge	3	1512	38.47%	Viborg	0	1567	34.50%	27.03%
10	2018-05-12	35.11	Fremad Amager	2	1399	19.93%	@ Fredericia	0	1470	54.33%	25.73%
11	2017-10-11	33.83	FC Roskilde	3	1405	14.54%	@ HB Koge	1	1545	61.23%	24.23%
12	2017-08-27	31.74	Nykobing	3	1426	17.75%	@ Esbjerg	1	1523	57.01%	25.24%
13	2018-04-20	31.49	Viborg	3	1551	43.63%	@ Thisted	0	1431	29.51%	26.86%
14	2017-08-06	30.73	Esbjerg	2	1515	26.79%	@ Viborg	0	1521	46.54%	26.67%
15	2017-10-02	29.89	Esbjerg	3	1497	20.82%	@ Vendsyssel	1	1558	53.28%	25.90%
16	2017-08-13	27.97	Fredericia	3	1431	24.23%	@ Thisted	1	1459	49.36%	26.41%
17	2017-10-15	27.93	Esbjerg	3	1526	24.29%	@ Vejle BK	1	1554	49.29%	26.42%
18	2017-10-15	27.77	FC Roskilde	2	1439	32.00%	@ Skive	0	1403	41.02%	26.97%
19	2017-11-26	26.90	@ Vejle BK	4	1540	43.10%	Vendsyssel	1	1562	30.01%	26.89%
20	2017-07-30	26.73	Vejle BK	3	1466	26.56%	@ HB Koge	1	1473	46.79%	26.65%
21	2017-09-03	26.25	@ Thisted	2	1438	34.86%	HB Koge	0	1518	38.11%	27.04%
22	2018-05-05	25.87	Viborg	3	1565	28.25%	@ Vendsyssel	1	1558	44.96%	26.78%
23	2017-11-05	24.77	Vendsyssel	4	1539	24.74%	@ Esbjerg	2	1562	48.79%	26.47%
24	2017-11-05	24.74	@ HB Koge	4	1482	59.01%	Fremad Amager	0	1366	16.19%	24.80%
25	2017-09-10	24.73	Thisted	2	1464	37.81%	@ Fremad Amager	0	1386	35.15%	27.04%