2020-21 1st Division Season

192 games

Final

Promoted

Viborg

76 pts

Silkeborg · 73 pts

Relegated

Skive

28 pts

Kolding FC · 32 pts

Biggest Overachiever

Viborg

38.52 points above expected

76 points · 37.48 expected points

Biggest Disappointment

Hobro

1.05 points above expected

34 points · 32.95 expected points

League Table

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

#	Team	GP	W	D	L	Pts	GF	GA	GD	SimPts	vsSim
1	Viborg	22	17	5	0	56	45	14	+31	37.48	+18.52
2	Silkeborg	22	16	1	5	49	53	19	+34	38.03	+10.97
3	Esbjerg	22	15	3	4	48	33	20	+13	36.19	+11.81
4	Helsingor	22	11	3	8	36	31	27	+4	26.42	+9.58
5	Fredericia	22	9	5	8	32	29	27	+2	31.64	+0.36
6	HB Koge	22	8	6	8	30	23	25	-2	26.88	+3.12
7	Fremad Amager	22	8	4	10	28	40	29	+11	33.23	-5.23
8	Hobro	22	6	6	10	24	30	40	-10	32.95	-8.95
9	Hvidovre	22	7	2	13	23	23	38	-15	24.93	-1.93
10	Vendsyssel	22	4	4	14	16	19	40	-21	26.07	-10.07
11	Kolding IF	22	2	8	12	14	19	40	-21	26.68	-12.68
12	Skive	22	3	5	14	14	19	45	-26	22.47	-8.47

#	Team	GP	W	D	L	Pts	GF	GA	GD	SimPts	vsSim
1	Viborg Promoted	32	23	7	2	76	71	24	+47	—	—
2	Silkeborg Promoted	32	23	4	5	73	76	28	+48	—	—
3	Esbjerg	32	18	5	9	59	43	38	+5	—	—
4	Helsingor	32	16	5	11	53	50	41	+9	—	—
5	Fredericia	32	13	5	14	44	42	44	-2	—	—
6	HB Koge	32	8	7	17	31	28	53	-25	—	—

#	Team	GP	W	D	L	Pts	GF	GA	GD	SimPts	vsSim
1	Hvidovre	32	11	6	15	39	40	47	-7	—	—
2	Fremad Amager	32	10	5	17	35	47	41	+6	—	—
3	Hobro	32	8	10	14	34	38	51	-13	—	—
4	Vendsyssel	32	8	8	16	32	33	51	-18	—	—
5	Kolding IF	32	7	11	14	32	31	49	-18	—	—
6	Skive Relegated	32	7	7	18	28	28	60	-32	—	—

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	Viborg	76	37.48	+38.52
2	Silkeborg	73	38.03	+34.97
3	Helsingor	53	26.42	+26.58
4	Esbjerg	59	36.19	+22.81
5	Hvidovre	39	24.93	+14.07

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Hobro	34	32.95	+1.05
2	Fremad Amager	35	33.23	+1.77
3	HB Koge	31	26.88	+4.12
4	Kolding IF	32	26.68	+5.32
5	Skive	28	22.47	+5.53

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	Esbjerg	8	Oct 24 – Dec 20	1 in 450
2	Helsingor	5	Feb 12 – Mar 12	1 in 234
3	Silkeborg	9	Dec 12 – Apr 5	1 in 190
4	Hvidovre	4	Nov 7 – Dec 6	1 in 167
5	Viborg	7	Dec 18 – Mar 19	1 in 62

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Fremad Amager	6	Apr 30 – May 27	1 in 1,348
2	HB Koge	9	Apr 9 – May 26	1 in 457
3	Hvidovre	5	Sep 11 – Oct 1	1 in 84
4	Kolding IF	5	Sep 13 – Sep 30	1 in 75
5	Hobro	4	Mar 13 – Apr 9	1 in 64

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Viborg	25	Sep 10 – Apr 16	1 in 2,516
2	Silkeborg	18	Dec 12 – May 26	1 in 120
3	Kolding IF	6	Oct 3 – Nov 7	1 in 29
4	Esbjerg	10	Oct 24 – Feb 21	1 in 27
5	HB Koge	6	Dec 4 – Feb 28	1 in 25

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Hobro	12	Dec 18 – May 2	1 in 490
2	Skive	14	Sep 12 – Dec 4	1 in 101
3	HB Koge	13	Mar 7 – May 26	1 in 72
4	Kolding IF	10	Dec 3 – Apr 4	1 in 45
5	Fremad Amager	6	Nov 7 – Dec 20	1 in 39

Position Race

Each team’s league position across the whole season. Colored teams are the season’s headline finishers — champion, promoted, and relegated; everyone else is gray as context.

Recent Form

Each team’s last 5 games, hottest first. Form shows the results (navy win, gray draw, red loss, newest on the right); the bars show Elo change over the window, points taken, points expected from the odds, and actual minus expected. Beside each team: current Elo and season points.

Team	Elo	Season Pts	Elo Δ (5)	Points (5)	Expected (5)	Actual − Exp
Viborg	1583	76	+39	13	8.5	+4.5
Silkeborg	1599	73	+10	11	9.6	+1.4
Esbjerg	1473	59	-23	4	7.3	-3.3
Helsingor	1436	53	+15	8	5.9	+2.1
Fredericia	1424	44	-1	6	5.6	+0.4
Hvidovre	1388	39	+11	8	7.1	+0.9
Fremad Amager	1407	35	-29	0	7.9	-7.9
Hobro	1402	34	-13	7	8.2	-1.2
Vendsyssel	1368	32	+23	10	6.2	+3.8
Kolding IF	1362	32	+11	10	6.2	+3.8
HB Koge	1338	31	-40	0	4.5	-4.5
Skive	1304	28	-4	7	5.7	+1.3

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	ESB	FRE	FA	HK	HEL	HOB	HVI	KI	SIL	SKI	VEN	VIB
Esbjerg	—	3-0-1 6.38	2-0-0 3.01	4-0-0 7.04	2-1-1 6.80	2-0-0 3.00	1-0-1 3.74	1-1-0 3.54	0-1-3 4.72	2-0-0 3.62	1-1-0 3.71	0-1-3 4.84
Fredericia	1-0-3 4.60	—	2-0-0 2.59	3-1-0 6.23	1-0-3 5.94	0-1-1 2.56	1-0-1 3.36	2-0-0 3.01	1-0-3 3.84	2-0-0 3.54	0-2-0 3.27	0-1-3 3.96
Fremad Amager	0-0-2 2.48	0-0-2 2.90	—	1-0-1 3.21	1-0-1 3.29	1-2-1 5.67	2-0-2 6.68	0-2-2 6.76	0-0-2 2.16	3-0-1 7.18	2-0-2 6.47	0-1-1 2.34
HB Koge	0-0-4 4.00	0-1-3 4.75	1-0-1 2.30	—	2-0-2 5.31	0-1-1 2.25	1-1-0 2.94	1-1-0 2.93	0-0-4 3.13	1-1-0 3.24	2-0-0 2.85	0-2-2 3.51
Helsingor	1-1-2 4.20	3-0-1 5.04	1-0-1 2.20	2-0-2 5.65	—	1-0-1 2.26	2-0-0 2.82	1-1-0 2.74	1-2-1 3.39	1-1-0 3.30	2-0-0 2.84	1-0-3 3.54
Hobro	0-0-2 2.50	1-1-0 2.92	1-2-1 5.30	1-1-0 3.25	1-0-1 3.24	—	1-1-2 6.58	0-2-2 6.73	0-0-2 2.17	2-1-1 7.27	1-1-2 6.71	0-1-1 2.55
Hvidovre	1-0-1 1.80	1-0-1 2.15	2-0-2 4.31	0-1-1 2.54	0-0-2 2.67	2-1-1 4.42	—	1-2-1 5.53	0-0-2 1.63	2-1-1 6.18	2-1-1 5.48	0-0-2 1.63
Kolding IF	0-1-1 1.98	0-0-2 2.47	2-2-0 4.25	0-1-1 2.57	0-1-1 2.75	2-2-0 4.27	1-2-1 5.44	—	0-0-2 1.83	1-1-2 6.14	1-1-2 5.65	0-0-2 1.77
Silkeborg	3-1-0 6.27	3-0-1 7.23	2-0-0 3.36	4-0-0 8.04	1-2-1 7.73	2-0-0 3.33	2-0-0 3.94	2-0-0 3.72	—	2-0-0 3.93	1-0-1 3.90	1-1-2 5.81
Skive	0-0-2 1.91	0-0-2 1.98	1-0-3 3.88	0-1-1 2.25	0-1-1 2.20	1-1-2 3.79	1-1-2 4.81	2-1-1 4.85	0-0-2 1.62	—	2-2-0 4.91	0-0-2 1.56
Vendsyssel	0-1-1 1.82	0-2-0 2.24	2-0-2 4.53	0-0-2 2.64	0-0-2 2.64	2-1-1 4.29	1-1-2 5.50	2-1-1 5.32	1-0-1 1.65	0-2-2 6.07	—	0-0-2 1.79
Viborg	3-1-0 6.15	3-1-0 7.09	1-1-0 3.15	2-2-0 7.62	3-0-1 7.55	1-1-0 2.96	2-0-0 3.94	2-0-0 3.77	2-1-1 5.16	2-0-0 4.01	2-0-0 3.75	—

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	0.85	+9.9
Allowed	0.89	-15.2
Differential	0.89	+6.2

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	4.17%	7.29%	7.03%	5.73%	2.86%	0.52%	27.60%
1	7.29%	11.98%	9.38%	2.86%	0.78%	0.52%	32.81%
2	7.03%	9.38%	3.12%	1.04%	1.30%	—	21.88%
3	5.73%	2.86%	1.04%	1.56%	0.26%	—	11.46%
4	2.86%	0.78%	1.30%	0.26%	—	—	5.21%
5+	0.52%	0.52%	—	—	—	—	1.04%
Total	27.60%	32.81%	21.88%	11.46%	5.21%	1.04%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.37	1.37	+0.00
SD	1.22	1.22	1.96
CV	0.89	0.89	—
Max	6	6	+6
Min	0	0	-6

Games Played: 192

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.12%	3.12%	9.38%	—	6.25%	—	21.88%
1	15.62%	6.25%	6.25%	3.12%	—	—	31.25%
2	12.50%	18.75%	6.25%	—	—	—	37.50%
3	—	6.25%	3.12%	—	—	—	9.38%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	31.25%	34.38%	25.00%	3.12%	6.25%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.34	1.19	+0.16
SD	0.94	1.12	1.67
CV	0.70	0.94	—
Max	3	4	+2
Min	0	0	-4

Games Played: 32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	12.50%	3.12%	3.12%	3.12%	—	21.88%
1	6.25%	15.62%	9.38%	6.25%	3.12%	—	40.62%
2	3.12%	18.75%	—	3.12%	—	—	25.00%
3	6.25%	3.12%	—	—	—	—	9.38%
4	3.12%	—	—	—	—	—	3.12%
5+	—	—	—	—	—	—	—
Total	18.75%	50.00%	12.50%	12.50%	6.25%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.31	1.38	-0.06
SD	1.03	1.13	1.83
CV	0.78	0.82	—
Max	4	4	+4
Min	0	0	-4

Games Played: 32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.25%	12.50%	12.50%	6.25%	—	—	37.50%
1	—	6.25%	12.50%	6.25%	—	—	25.00%
2	6.25%	3.12%	3.12%	3.12%	—	—	15.62%
3	6.25%	—	—	—	—	—	6.25%
4	9.38%	—	—	—	—	—	9.38%
5+	3.12%	3.12%	—	—	—	—	6.25%
Total	31.25%	25.00%	28.12%	15.62%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.47	1.28	+0.19
SD	1.67	1.08	2.39
CV	1.13	0.85	—
Max	6	3	+6
Min	0	0	-3

Games Played: 32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.25%	12.50%	6.25%	12.50%	3.12%	3.12%	43.75%
1	6.25%	15.62%	6.25%	6.25%	3.12%	—	37.50%
2	3.12%	6.25%	—	—	—	—	9.38%
3	3.12%	3.12%	—	—	—	—	6.25%
4	—	—	3.12%	—	—	—	3.12%
5+	—	—	—	—	—	—	—
Total	18.75%	37.50%	15.62%	18.75%	6.25%	3.12%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.88	1.66	-0.78
SD	1.04	1.33	1.91
CV	1.19	0.81	—
Max	4	5	+3
Min	0	0	-5

Games Played: 32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.25%	6.25%	9.38%	6.25%	—	—	28.12%
1	9.38%	—	9.38%	—	—	3.12%	21.88%
2	6.25%	15.62%	3.12%	—	—	—	25.00%
3	9.38%	3.12%	—	6.25%	—	—	18.75%
4	—	—	3.12%	—	—	—	3.12%
5+	3.12%	—	—	—	—	—	3.12%
Total	34.38%	25.00%	25.00%	12.50%	—	3.12%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.56	1.28	+0.28
SD	1.34	1.25	2.00
CV	0.86	0.98	—
Max	5	5	+5
Min	0	0	-4

Games Played: 32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.25%	9.38%	3.12%	6.25%	6.25%	—	31.25%
1	3.12%	18.75%	12.50%	—	—	—	34.38%
2	3.12%	6.25%	6.25%	—	3.12%	—	18.75%
3	3.12%	6.25%	3.12%	—	3.12%	—	15.62%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	15.62%	40.62%	25.00%	6.25%	12.50%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.19	1.59	-0.41
SD	1.06	1.21	1.66
CV	0.89	0.76	—
Max	3	4	+3
Min	0	0	-4

Games Played: 32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.12%	9.38%	9.38%	6.25%	3.12%	—	31.25%
1	6.25%	9.38%	15.62%	—	—	3.12%	34.38%
2	9.38%	3.12%	6.25%	—	—	—	18.75%
3	6.25%	—	3.12%	—	—	—	9.38%
4	3.12%	—	—	3.12%	—	—	6.25%
5+	—	—	—	—	—	—	—
Total	28.12%	21.88%	34.38%	9.38%	3.12%	3.12%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.25	1.47	-0.22
SD	1.19	1.27	1.96
CV	0.95	0.86	—
Max	4	5	+4
Min	0	0	-4

Games Played: 32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.38%	6.25%	9.38%	6.25%	3.12%	—	34.38%
1	3.12%	25.00%	9.38%	—	—	—	37.50%
2	6.25%	9.38%	—	—	9.38%	—	25.00%
3	—	—	3.12%	—	—	—	3.12%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	18.75%	40.62%	21.88%	6.25%	12.50%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.97	1.53	-0.56
SD	0.86	1.24	1.46
CV	0.89	0.81	—
Max	3	4	+2
Min	0	0	-4

Games Played: 32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	6.25%	—	—	—	—	6.25%
1	6.25%	3.12%	6.25%	—	—	—	15.62%
2	25.00%	6.25%	—	—	3.12%	—	34.38%
3	12.50%	3.12%	—	9.38%	—	—	25.00%
4	6.25%	6.25%	3.12%	—	—	—	15.62%
5+	—	3.12%	—	—	—	—	3.12%
Total	50.00%	28.12%	9.38%	9.38%	3.12%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.38	0.88	+1.50
SD	1.21	1.13	1.63
CV	0.51	1.29	—
Max	5	4	+4
Min	0	0	-2

Games Played: 32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.25%	—	15.62%	9.38%	9.38%	—	40.62%
1	9.38%	9.38%	12.50%	6.25%	—	—	37.50%
2	—	9.38%	6.25%	3.12%	—	—	18.75%
3	—	—	—	—	—	—	—
4	—	—	3.12%	—	—	—	3.12%
5+	—	—	—	—	—	—	—
Total	15.62%	18.75%	37.50%	18.75%	9.38%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.88	1.88	-1.00
SD	0.94	1.18	1.67
CV	1.08	0.63	—
Max	4	4	+2
Min	0	0	-4

Games Played: 32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.12%	9.38%	3.12%	9.38%	—	3.12%	28.12%
1	6.25%	18.75%	12.50%	6.25%	3.12%	—	46.88%
2	6.25%	6.25%	3.12%	3.12%	—	—	18.75%
3	6.25%	—	—	—	—	—	6.25%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	21.88%	34.38%	18.75%	18.75%	3.12%	3.12%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.03	1.59	-0.56
SD	0.86	1.39	1.90
CV	0.83	0.87	—
Max	3	6	+3
Min	0	0	-6

Games Played: 32

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	—	3.12%	3.12%	—	—	6.25%
1	15.62%	15.62%	—	—	—	—	31.25%
2	3.12%	9.38%	3.12%	—	—	—	15.62%
3	15.62%	9.38%	—	3.12%	—	—	28.12%
4	12.50%	3.12%	3.12%	—	—	—	18.75%
5+	—	—	—	—	—	—	—
Total	46.88%	37.50%	9.38%	6.25%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.22	0.75	+1.47
SD	1.26	0.88	1.70
CV	0.57	1.17	—
Max	4	3	+4
Min	0	0	-3

Games Played: 32

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
Silkeborg	1599	73	38.03	+34.97	97.0%	20	27	34	38	42	47	54
Viborg	1583	76	37.48	+38.52	100.0%	21	27	34	37	41	45	50
Esbjerg	1473	59	36.19	+22.81	97.0%	23	26	32	36	40	46	53
Helsingor	1436	53	26.42	+26.58	96.0%	12	17	22	26	30	36	43
Fredericia	1424	44	31.64	+12.36	56.0%	18	23	27	32	35	42	45
Fremad Amager	1407	35	33.23	+1.77	27.0%	19	22	28	33	37	46	51
Hobro	1402	34	32.95	+1.05	3.0%	20	25	28	32	36	44	46
Hvidovre	1388	39	24.93	+14.07	45.0%	8	16	20	25	30	35	40
Vendsyssel	1368	32	26.07	+5.93	2.0%	14	17	22	26	30	36	40
Kolding IF	1362	32	26.68	+5.32	2.0%	12	17	22	27	31	36	41
HB Koge	1338	31	26.88	+4.12	75.0%	13	18	23	27	30	37	39
Skive	1304	28	22.47	+5.53	11.0%	9	12	18	22	26	32	38

Point Totals in Context

Each team's actual results against four model perspectives: simulated points, team Elo, average opponent Elo, and percentile within simulated outcomes. First phase is on the left, second phase on the right; the buttons switch the perspective on both plots at once. Dashed crosshairs at each plot's league means split it into four quadrants.

First Phase

Second Phase

No playoff-sim mean data.

First Phase

Second Phase

First Phase

Second Phase

First Phase

Second Phase

No playoff-sim percentile data.

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

+9.38%

No Edge

44.27%20.83%34.90%

Elo Value

Home Edge

109 Elo

0.009 goals per Elo point

032.67300

Scoring Tilt

Expected

+0.24 goals

Neutral

-2+0.30+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

4.6

Wide Open

123410

Champion Preseason Odds

25%

Viborg, 2nd of 12

LongshotFavorite

Title Margin

Expected

0.09/gm

Tight Race

00.120.5/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 4.72 * Some Luck: 4.72 to 7.08 * Lucky: 7.08 to 9.44 * Wild Swing: 9.44 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 1.77 * Close: 1.77 to 2.65 * Off: 2.65 to 3.54 * Way Off: 3.54 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 2 * A Surprise: 2 to 3.2 * Several Surprises: 3.2 to 4.4 * Many Surprises: 4.4 and up.

Luck Spread

Expected

9.77 points

Wild Swing

05.9015

Average Finish Error

Expected

2.17

02.215

Biggest Overachiever

Expected 95.83%

100.00%

Viborg

50100

Biggest Underachiever

Expected 4.17%

2.00%

Vendsyssel

050

Season Outliers

Expected

7 of 12

Minimal Outliers

01.26

Unexpected Relegations

Expected 2.0

2 of 2

A Surprise

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

0.19

Top-Heavy

00.130.20.5

Noll-Scully

Elo SD: 82.02

2.19

Wide Separation

0.751.51.82.153

Interquartile Edge

64%

Slight Edge

50%63.5%74.5%100%

Best vs. Worst

Baseline

81%

Even

50%84%100%

Close Games

Expected

57%

Some Drama

0%56%100%

Blowouts

Expected

21%

Frequent

0%20%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

0.59

Predictable

00.622

Matchup Imbalance

0.28

Very Even

00.340.420.5

Strangeness

Expected

3.01

Chaotic

01.002

Repeatability

0.52

Some Carryover

00.380.570.71

Upset Rate

Expected

24%

Upset-Prone

0%27%50%

Clear Favorite Upset Rate

Expected

22%

Very Shaky

0%23%50%

Calibration

How these are measured

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

Probability calibration: An all-in-one chi-square test of the model's probabilities. Matches are grouped by how confident the model was, and within each group the predicted and actual counts of home wins, draws, and away wins are compared. The p-value is plotted; above 0.05 means well-calibrated.
Miscalibrated: under 0.05 * Borderline: 0.05 to 0.1 * Well Calibrated: 0.1 to 0.5 * Excellent: 0.5 and up.
Calibration slope: Checks whether the spread of the probabilities is right. Each probability is turned into log-odds and a line is fit predicting the actual results. A slope of 1.00 is perfect; below 1 is overconfidence (favorites lost more than their odds implied); above 1 is under-confidence.
Overconfident: under 0.85 * Calibrated: 0.85 to 1.15 * Underconfident: 1.15 to 1.3 * Very Underconfident: 1.3 and up.
Calibration error (ECE): The average gap between the model's stated chances and how often the predicted result actually happened. Smaller is better. The gold line is the noise ceiling, the error luck alone can produce even with perfect probabilities; below it, the model's error is no larger than chance.
Well Within Noise: under 0.12 * Near Noise Ceiling: 0.12 to 0.17 * Above Noise: 0.17 to 0.23 * Well Above Noise: 0.23 and up.

Probability calibration

0.74

Excellent

0.010.050.10.51

Calibration slope

Ideal

1.49

Very Underconfident

0.3589691.001.64103

Calibration error (ECE)

Noise ceiling

0.073

Well Within Noise

00.1160.3

Elo Progression Through The Playoffs

How each team's Elo rating moved through the playoff games. Game 0 is the starting Elo just before the first game; each later point is the post-game Elo after that fixture. Steep upward moves are wins over higher-rated opponents; sharp drops are losses to lower-rated opponents.

Final Table Odds

Each cell is the probability that the team (row) finished at that position (column). Use the buttons to switch between the first-phase positions when the league split and the final second-phase positions. Rows are sorted by actual finish (champion at top).

Team	1	2	3	4	5	6	7	8	9	10	11	12
Viborg	25.00%	22.00%	18.00%	13.00%	11.00%	3.00%	2.00%	—	4.00%	—	2.00%	—
Silkeborg	27.00%	25.00%	16.00%	10.00%	9.00%	3.00%	4.00%	—	4.00%	—	1.00%	1.00%
Esbjerg	24.00%	10.00%	17.00%	15.00%	13.00%	5.00%	4.00%	6.00%	2.00%	4.00%	—	—
Helsingor	—	6.00%	1.00%	4.00%	6.00%	9.00%	9.00%	15.00%	12.00%	13.00%	18.00%	7.00%
Fredericia	2.00%	8.00%	14.00%	11.00%	12.00%	12.00%	11.00%	14.00%	4.00%	8.00%	2.00%	2.00%
Hvidovre	—	2.00%	5.00%	1.00%	4.00%	11.00%	8.00%	9.00%	11.00%	14.00%	19.00%	16.00%
Fremad Amager	13.00%	8.00%	13.00%	15.00%	9.00%	10.00%	14.00%	3.00%	7.00%	4.00%	4.00%	—
Hobro	7.00%	11.00%	8.00%	13.00%	13.00%	14.00%	9.00%	12.00%	8.00%	3.00%	2.00%	—
Vendsyssel	—	3.00%	3.00%	4.00%	4.00%	4.00%	12.00%	14.00%	13.00%	11.00%	19.00%	13.00%
Kolding IF	—	1.00%	1.00%	7.00%	10.00%	9.00%	11.00%	13.00%	10.00%	13.00%	9.00%	16.00%
HB Koge	2.00%	3.00%	3.00%	7.00%	4.00%	13.00%	11.00%	9.00%	12.00%	20.00%	6.00%	10.00%
Skive	—	1.00%	1.00%	—	5.00%	7.00%	5.00%	5.00%	13.00%	10.00%	18.00%	35.00%

Team	1	2	3	4	5	6	7	8	9	10	11	12
Viborg	—	—	—	—	—	—	—	—	—	—	—	—
Silkeborg	—	—	—	—	—	—	—	—	—	—	—	—
Esbjerg	—	—	—	—	—	—	—	—	—	—	—	—
Helsingor	—	—	—	—	—	—	—	—	—	—	—	—
Fredericia	—	—	—	—	—	—	—	—	—	—	—	—
Hvidovre	—	—	—	—	—	—	—	—	—	—	—	—
Fremad Amager	—	—	—	—	—	—	—	—	—	—	—	—
Hobro	—	—	—	—	—	—	—	—	—	—	—	—
Vendsyssel	—	—	—	—	—	—	—	—	—	—	—	—
Kolding IF	—	—	—	—	—	—	—	—	—	—	—	—
HB Koge	—	—	—	—	—	—	—	—	—	—	—	—
Skive	—	—	—	—	—	—	—	—	—	—	—	—

Points Required Per Position

The empirical CDF of simulated point totals per finishing position. Use the buttons to switch between the first-phase distribution and the second-phase championship and relegation groups. Reading a curve at the 50% mark gives the median points typically needed to finish at that position.

Stochastic Relegation Outcomes

Across 100,000 simulations that played all 38 games of the season from preseason Elo, the probability of each team's end-of-season outcome. Reflects FULL uncertainty — both the first-phase results and the second-phase results are simulated each iteration. For the playoff-sim version that conditions on the actual first-phase results, see the next table.

Team	Qualified for promotion playoff	Qualified for Championship Round
Esbjerg	84.00%	16.00%
Fredericia	59.00%	41.00%
Fremad Amager	68.00%	32.00%
HB Koge	32.00%	68.00%
Helsingor	26.00%	74.00%
Hobro	66.00%	34.00%
Hvidovre	23.00%	77.00%
Kolding IF	28.00%	72.00%
Silkeborg	90.00%	10.00%
Skive	14.00%	86.00%
Vendsyssel	18.00%	82.00%
Viborg	92.00%	8.00%

Actual Second Phase Relegation Outcomes

Across 100,000 simulations that took the actual first-phase results as FIXED and projected only the second-phase round-robin games, the probability of each team's end-of-season outcome. Reflects the narrower uncertainty that remained once the league split was decided — so contenders and relegation candidates settle into clearer roles here than in the full-season sim above.

Team	Qualified for promotion playoff	Qualified for Championship Round
Esbjerg	100%	—
Fredericia	100%	—
Fremad Amager	—	100%
HB Koge	100%	—
Helsingor	100%	—
Hobro	—	100%
Hvidovre	—	100%
Kolding IF	—	100%
Silkeborg	100%	—
Skive	—	100%
Vendsyssel	—	100%
Viborg	100%	—

Filter by Team:

Overall Game Log

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

Date	Opponent	Score	Excitement	Pre Elo	Opp Elo	Win %	Tie %	Loss %	Proj. Margin	Elo Δ	Points
2020-09-10	Viborg	D 1-1	61.2	1478	1469	45.45%	25.68%	28.87%	+0.38	-0.4	1
2020-09-10	@ Hobro	D 1-1	61.2	1469	1478	28.87%	25.68%	45.45%	-0.38	+0.4	1
2020-09-11	Hvidovre	W 2-1	48.6	1398	1390	45.36%	25.70%	28.95%	+0.37	+3.4	3
2020-09-11	@ HB Koge	L 1-2	48.6	1390	1398	28.95%	25.70%	45.36%	-0.37	-3.5	0
2020-09-11	Silkeborg	W 4-2	56.4	1368	1489	27.96%	25.49%	46.55%	-0.82	+7.7	3
2020-09-11	@ Helsingor	L 2-4	56.4	1489	1368	46.55%	25.49%	27.96%	+0.82	-7.7	0
2020-09-12	Esbjerg	L 0-2	41.1	1372	1468	31.00%	26.03%	42.98%	-0.58	-7.3	0
2020-09-12	@ Skive	W 2-0	41.1	1468	1372	42.98%	26.03%	31.00%	+0.58	+7.3	3
2020-09-12	Vendsyssel	W 6-0	38.9	1418	1404	46.16%	25.56%	28.28%	+0.42	+18.8	3
2020-09-12	@ Fremad Amager	L 0-6	38.9	1404	1418	28.28%	25.56%	46.16%	-0.42	-18.8	0
2020-09-13	Kolding IF	W 2-1	49.5	1420	1410	45.69%	25.64%	28.67%	+0.39	+3.4	3
2020-09-13	@ Fredericia	L 1-2	49.5	1410	1420	28.67%	25.64%	45.69%	-0.39	-3.4	0
2020-09-15	Helsingor	L 0-3	41.7	1387	1376	45.86%	25.61%	28.53%	+0.40	-14.3	0
2020-09-15	@ Hvidovre	W 3-0	41.7	1376	1387	28.53%	25.61%	45.86%	-0.40	+14.3	6
2020-09-15	Hobro	W 3-0	43.1	1385	1477	31.50%	26.09%	42.41%	-0.54	+13.5	3
2020-09-15	@ Vendsyssel	L 0-3	43.1	1477	1385	42.41%	26.09%	31.50%	+0.54	-13.5	1
2020-09-16	HB Koge	W 1-0	42.2	1476	1401	54.29%	23.51%	22.20%	+0.98	+2.9	6
2020-09-16	@ Esbjerg	L 0-1	42.2	1401	1476	22.20%	23.51%	54.29%	-0.98	-2.9	3
2020-09-16	Kolding IF	W 4-2	49.5	1470	1406	52.89%	23.95%	23.16%	+0.88	+4.4	4
2020-09-16	@ Viborg	L 2-4	49.5	1406	1470	23.16%	23.95%	52.89%	-0.88	-4.4	0
2020-09-16	Skive	W 2-0	36.2	1482	1365	59.59%	21.56%	18.84%	+1.37	+4.6	3
2020-09-16	@ Silkeborg	L 0-2	36.2	1365	1482	18.84%	21.56%	59.59%	-1.37	-4.6	0
2020-09-17	Fremad Amager	W 3-1	48.2	1423	1436	42.41%	26.09%	31.50%	+0.18	+6.4	6
2020-09-17	@ Fredericia	L 1-3	48.2	1436	1423	31.50%	26.09%	42.41%	-0.18	-6.4	3
2020-09-18	Vendsyssel	W 3-0	37.8	1390	1399	43.03%	26.02%	30.95%	+0.22	+10.6	9
2020-09-18	@ Helsingor	L 0-3	37.8	1399	1390	30.95%	26.02%	43.03%	-0.22	-10.6	3
2020-09-19	Esbjerg	W 3-1	50.8	1486	1478	45.36%	25.70%	28.94%	+0.37	+6.0	6
2020-09-19	@ Silkeborg	L 1-3	50.8	1478	1486	28.94%	25.70%	45.36%	-0.37	-6.0	6
2020-09-19	HB Koge	L 2-4	54.5	1402	1398	44.75%	25.79%	29.46%	+0.33	-7.5	0
2020-09-19	@ Kolding IF	W 4-2	54.5	1398	1402	29.46%	25.79%	44.75%	-0.33	+7.5	6
2020-09-19	Skive	W 3-1	42.4	1474	1361	59.22%	21.71%	19.06%	+1.34	+4.0	7
2020-09-19	@ Viborg	L 1-3	42.4	1361	1474	19.06%	21.71%	59.22%	-1.34	-4.0	0
2020-09-20	Fredericia	W 3-2	55.9	1464	1429	49.00%	24.98%	26.01%	+0.62	+3.0	4
2020-09-20	@ Hobro	L 2-3	55.9	1429	1464	26.01%	24.98%	49.00%	-0.62	-3.0	6
2020-09-20	Hvidovre	W 4-0	35.2	1430	1372	52.10%	24.18%	23.72%	+0.83	+11.0	6
2020-09-20	@ Fremad Amager	L 0-4	35.2	1372	1430	23.72%	24.18%	52.10%	-0.83	-11.0	0
2020-09-25	Helsingor	W 2-1	48.2	1472	1400	54.01%	23.60%	22.39%	+0.96	+2.7	9
2020-09-25	@ Esbjerg	L 1-2	48.2	1400	1472	22.39%	23.60%	54.01%	-0.96	-2.7	9
2020-09-25	Hobro	L 1-2	49.9	1362	1467	29.86%	25.86%	44.28%	-0.67	-3.5	0
2020-09-25	@ Hvidovre	W 2-1	49.9	1467	1362	44.28%	25.86%	29.86%	+0.67	+3.5	7
2020-09-25	Kolding IF	W 1-0	43.0	1388	1394	43.44%	25.97%	30.59%	+0.25	+3.8	6
2020-09-25	@ Vendsyssel	L 0-1	43.0	1394	1388	30.59%	25.97%	43.44%	-0.25	-3.8	0
2020-09-26	Fremad Amager	L 0-2	40.5	1357	1441	32.45%	26.19%	41.35%	-0.48	-7.6	0
2020-09-26	@ Skive	W 2-0	40.5	1441	1357	41.35%	26.19%	32.45%	+0.48	+7.6	9
2020-09-27	Silkeborg	W 1-0	49.3	1426	1492	34.96%	26.35%	38.69%	-0.30	+4.6	9
2020-09-27	@ Fredericia	L 0-1	49.3	1492	1426	38.69%	26.35%	34.96%	+0.30	-4.6	6
2020-09-27	Viborg	L 0-3	41.4	1406	1478	34.09%	26.31%	39.59%	-0.36	-11.4	6
2020-09-27	@ HB Koge	W 3-0	41.4	1478	1406	39.59%	26.31%	34.09%	+0.36	+11.4	10
2020-09-29	Esbjerg	L 2-3	61.6	1449	1475	40.52%	26.26%	33.22%	+0.05	-4.2	9
2020-09-29	@ Fremad Amager	W 3-2	61.6	1475	1449	33.22%	26.26%	40.52%	-0.05	+4.2	12
2020-09-29	Skive	W 2-1	44.9	1470	1349	60.18%	21.32%	18.50%	+1.42	+2.2	10
2020-09-29	@ Hobro	L 1-2	44.9	1349	1470	18.50%	21.32%	60.18%	-1.42	-2.2	0
2020-09-30	HB Koge	L 0-2	43.9	1398	1395	44.73%	25.79%	29.47%	+0.33	-9.7	9
2020-09-30	@ Helsingor	W 2-0	43.9	1395	1398	29.47%	25.79%	44.73%	-0.33	+9.7	9
2020-09-30	Silkeborg	L 0-4	39.9	1390	1488	30.84%	26.01%	43.15%	-0.59	-13.8	0
2020-09-30	@ Kolding IF	W 4-0	39.9	1488	1390	43.15%	26.01%	30.84%	+0.59	+13.8	9
2020-09-30	Vendsyssel	W 3-1	44.4	1489	1392	57.23%	22.48%	20.28%	+1.20	+4.3	13
2020-09-30	@ Viborg	L 1-3	44.4	1392	1489	20.28%	22.48%	57.23%	-1.20	-4.3	6
2020-10-01	Fredericia	L 0-3	38.8	1358	1431	33.96%	26.30%	39.74%	-0.37	-11.4	0
2020-10-01	@ Hvidovre	W 3-0	38.8	1431	1358	39.74%	26.30%	33.96%	+0.37	+11.4	12
2020-10-03	Fremad Amager	L 0-3	41.7	1404	1444	38.61%	26.35%	35.04%	-0.07	-12.5	9
2020-10-03	@ HB Koge	W 3-0	41.7	1444	1404	35.04%	26.35%	38.61%	+0.07	+12.5	12
2020-10-03	Hobro	W 4-2	54.3	1501	1472	48.28%	25.15%	26.58%	+0.57	+5.0	12
2020-10-03	@ Silkeborg	L 2-4	54.3	1472	1501	26.58%	25.15%	48.28%	-0.57	-5.0	10
2020-10-03	Kolding IF	D 1-1	55.2	1347	1377	40.07%	26.29%	33.65%	+0.03	-0.1	1
2020-10-03	@ Skive	D 1-1	55.2	1377	1347	33.65%	26.29%	40.07%	-0.03	+0.2	1
2020-10-03	Viborg	D 2-2	68.4	1479	1494	42.29%	26.10%	31.61%	+0.17	-0.2	13
2020-10-03	@ Esbjerg	D 2-2	68.4	1494	1479	31.61%	26.10%	42.29%	-0.17	+0.2	14
2020-10-04	Helsingor	L 1-2	56.0	1442	1388	51.70%	24.30%	24.01%	+0.80	-5.4	12
2020-10-04	@ Fredericia	W 2-1	56.0	1388	1442	24.01%	24.30%	51.70%	-0.80	+5.4	12
2020-10-04	Hvidovre	L 1-2	53.6	1388	1347	49.94%	24.76%	25.30%	+0.68	-5.3	6
2020-10-04	@ Vendsyssel	W 2-1	53.6	1347	1388	25.30%	24.76%	49.94%	-0.68	+5.3	3
2020-10-16	Fremad Amager	W 3-1	49.1	1494	1457	49.39%	24.89%	25.72%	+0.64	+5.4	17
2020-10-16	@ Viborg	L 1-3	49.1	1457	1494	25.72%	24.89%	49.39%	-0.64	-5.4	12
2020-10-16	Silkeborg	L 1-5	41.0	1352	1506	24.50%	24.48%	51.01%	-1.12	-9.4	3
2020-10-16	@ Hvidovre	W 5-1	41.0	1506	1352	51.01%	24.48%	24.50%	+1.12	+9.4	15
2020-10-17	Esbjerg	D 1-1	58.2	1377	1479	30.18%	25.91%	43.91%	-0.64	+0.3	2
2020-10-17	@ Kolding IF	D 1-1	58.2	1479	1377	43.91%	25.91%	30.18%	+0.64	-0.3	14
2020-10-17	HB Koge	W 3-1	44.5	1467	1392	54.49%	23.45%	22.06%	+1.00	+4.7	13
2020-10-17	@ Hobro	L 1-3	44.5	1392	1467	22.06%	23.45%	54.49%	-1.00	-4.7	9
2020-10-18	Fredericia	D 1-1	57.1	1382	1437	36.53%	26.38%	37.08%	-0.20	+0.0	7
2020-10-18	@ Vendsyssel	D 1-1	57.1	1437	1382	37.08%	26.38%	36.53%	+0.20	-0.0	13
2020-10-18	Skive	W 2-1	46.1	1393	1347	50.70%	24.57%	24.74%	+0.73	+3.0	15
2020-10-18	@ Helsingor	L 1-2	46.1	1347	1393	24.74%	24.57%	50.70%	-0.73	-3.0	1
2020-10-20	Hobro	W 2-1	54.4	1377	1472	31.10%	26.04%	42.86%	-0.57	+4.7	5
2020-10-20	@ Kolding IF	L 1-2	54.4	1472	1377	42.86%	26.04%	31.10%	+0.57	-4.7	13
2020-10-20	Hvidovre	L 0-2	48.2	1479	1342	62.02%	20.54%	17.45%	+1.56	-12.5	14
2020-10-20	@ Esbjerg	W 2-0	48.2	1342	1479	17.45%	20.54%	62.02%	-1.56	+12.5	6
2020-10-21	Fredericia	L 0-1	46.0	1387	1437	37.18%	26.38%	36.44%	-0.16	-4.5	9
2020-10-21	@ HB Koge	W 1-0	46.0	1437	1387	36.44%	26.38%	37.18%	+0.16	+4.5	16
2020-10-21	Helsingor	W 5-1	40.5	1451	1396	51.77%	24.28%	23.95%	+0.81	+9.2	15
2020-10-21	@ Fremad Amager	L 1-5	40.5	1396	1451	23.95%	24.28%	51.77%	-0.81	-9.2	15
2020-10-21	Vendsyssel	D 1-1	55.2	1344	1382	38.77%	26.35%	34.88%	-0.06	-0.1	2
2020-10-21	@ Skive	D 1-1	55.2	1382	1344	34.88%	26.35%	38.77%	+0.06	+0.1	8
2020-10-22	Viborg	L 1-2	61.0	1516	1499	46.57%	25.49%	27.94%	+0.45	-5.0	15
2020-10-22	@ Silkeborg	W 2-1	61.0	1499	1516	27.94%	25.49%	46.57%	-0.45	+5.0	20
2020-10-24	Esbjerg	L 1-2	57.5	1467	1466	44.43%	25.84%	29.73%	+0.31	-4.8	13
2020-10-24	@ Hobro	W 2-1	57.5	1466	1467	29.73%	25.84%	44.43%	-0.31	+4.8	17
2020-10-24	HB Koge	L 0-1	46.7	1383	1383	44.30%	25.86%	29.84%	+0.30	-5.1	8
2020-10-24	@ Vendsyssel	W 1-0	46.7	1383	1383	29.84%	25.86%	44.30%	-0.30	+5.1	12
2020-10-24	Kolding IF	D 0-0	51.4	1387	1382	45.05%	25.75%	29.20%	+0.35	-0.4	16
2020-10-24	@ Helsingor	D 0-0	51.4	1382	1387	29.20%	25.75%	45.05%	-0.35	+0.4	6
2020-10-24	Skive	W 2-1	45.0	1441	1344	57.31%	22.46%	20.24%	+1.20	+2.5	19
2020-10-24	@ Fredericia	L 1-2	45.0	1344	1441	20.24%	22.46%	57.31%	-1.20	-2.5	2
2020-10-25	Silkeborg	L 0-3	45.3	1461	1511	37.17%	26.38%	36.45%	-0.16	-12.2	15
2020-10-25	@ Fremad Amager	W 3-0	45.3	1511	1461	36.45%	26.38%	37.17%	+0.16	+12.2	18
2020-10-25	Viborg	L 1-2	48.9	1355	1504	25.00%	24.66%	50.34%	-1.07	-3.0	6
2020-10-25	@ Hvidovre	W 2-1	48.9	1504	1355	50.34%	24.66%	25.00%	+1.07	+3.0	23
2020-10-30	Helsingor	W 3-0	35.5	1507	1387	60.09%	21.36%	18.55%	+1.41	+6.5	26
2020-10-30	@ Viborg	L 0-3	35.5	1387	1507	18.55%	21.36%	60.09%	-1.41	-6.5	16
2020-10-30	Hvidovre	D 1-1	55.7	1382	1352	48.47%	25.10%	26.42%	+0.58	-0.5	7
2020-10-30	@ Kolding IF	D 1-1	55.7	1352	1382	26.42%	25.10%	48.47%	-0.58	+0.5	7
2020-10-31	Fredericia	W 3-1	48.2	1471	1444	48.07%	25.19%	26.74%	+0.55	+5.6	20
2020-10-31	@ Esbjerg	L 1-3	48.2	1444	1471	26.74%	25.19%	48.07%	-0.55	-5.6	19
2020-10-31	Fremad Amager	L 0-4	45.5	1463	1448	46.27%	25.54%	28.19%	+0.43	-18.8	13
2020-10-31	@ Hobro	W 4-0	45.5	1448	1463	28.19%	25.54%	46.27%	-0.43	+18.8	18
2020-11-01	Skive	D 0-0	51.0	1388	1341	50.66%	24.58%	24.76%	+0.73	-0.7	13
2020-11-01	@ HB Koge	D 0-0	51.0	1341	1388	24.76%	24.58%	50.66%	-0.73	+0.7	3
2020-11-01	Vendsyssel	W 4-1	40.4	1523	1378	63.07%	20.07%	16.86%	+1.64	+5.0	21
2020-11-01	@ Silkeborg	L 1-4	40.4	1378	1523	16.86%	20.07%	63.07%	-1.64	-5.0	8
2020-11-05	Hobro	L 0-1	45.5	1380	1444	35.26%	26.36%	38.38%	-0.28	-4.3	16
2020-11-05	@ Helsingor	W 1-0	45.5	1444	1380	38.38%	26.36%	35.26%	+0.28	+4.3	16
2020-11-06	Viborg	D 1-1	61.2	1438	1514	33.62%	26.28%	40.09%	-0.39	+0.2	20
2020-11-06	@ Fredericia	D 1-1	61.2	1514	1438	40.09%	26.28%	33.62%	+0.39	-0.1	27
2020-11-07	Hvidovre	L 2-3	56.9	1342	1352	42.79%	26.05%	31.16%	+0.20	-4.4	3
2020-11-07	@ Skive	W 3-2	56.9	1352	1342	31.16%	26.05%	42.79%	-0.20	+4.4	10
2020-11-07	Kolding IF	D 0-0	54.0	1467	1382	55.75%	23.02%	21.23%	+1.09	-1.0	19
2020-11-07	@ Fremad Amager	D 0-0	54.0	1382	1467	21.23%	23.02%	55.75%	-1.09	+1.0	8
2020-11-08	Silkeborg	L 0-1	44.9	1387	1528	25.85%	24.94%	49.21%	-1.00	-3.3	13
2020-11-08	@ HB Koge	W 1-0	44.9	1528	1387	49.21%	24.94%	25.85%	+1.00	+3.3	24
2020-11-20	Fredericia	L 1-2	51.8	1383	1438	36.34%	26.38%	37.28%	-0.21	-4.1	8
2020-11-20	@ Kolding IF	W 2-1	51.8	1438	1383	37.28%	26.38%	36.34%	+0.21	+4.1	23
2020-11-20	Hobro	W 2-1	51.5	1514	1448	53.17%	23.87%	22.97%	+0.90	+2.8	30
2020-11-20	@ Viborg	L 1-2	51.5	1448	1514	22.97%	23.87%	53.17%	-0.90	-2.8	16
2020-11-21	Helsingor	D 3-3	72.1	1531	1376	64.21%	19.54%	16.25%	+1.73	-0.8	25
2020-11-21	@ Silkeborg	D 3-3	72.1	1376	1531	16.25%	19.54%	64.21%	-1.73	+0.8	17
2020-11-21	Vendsyssel	W 2-0	39.0	1357	1373	42.08%	26.12%	31.80%	+0.16	+7.5	13
2020-11-21	@ Hvidovre	L 0-2	39.0	1373	1357	31.80%	26.12%	42.08%	-0.16	-7.5	8
2020-11-22	HB Koge	L 0-1	51.2	1466	1384	55.38%	23.15%	21.47%	+1.06	-6.1	19
2020-11-22	@ Fremad Amager	W 1-0	51.2	1384	1466	21.47%	23.15%	55.38%	-1.06	+6.1	16
2020-11-22	Skive	W 2-1	44.1	1477	1337	62.38%	20.38%	17.25%	+1.59	+2.1	23
2020-11-22	@ Esbjerg	L 1-2	44.1	1337	1477	17.25%	20.38%	62.38%	-1.59	-2.1	3
2020-11-26	Silkeborg	W 1-0	51.8	1516	1530	42.33%	26.10%	31.57%	+0.17	+3.9	33
2020-11-26	@ Viborg	L 0-1	51.8	1530	1516	31.57%	26.10%	42.33%	-0.17	-3.9	25
2020-11-27	Fremad Amager	W 2-1	53.6	1377	1460	32.57%	26.20%	41.23%	-0.47	+4.5	20
2020-11-27	@ Helsingor	L 1-2	53.6	1460	1377	41.23%	26.20%	32.57%	+0.47	-4.5	19
2020-11-27	Vendsyssel	W 3-2	53.1	1378	1365	46.15%	25.56%	28.28%	+0.42	+3.2	11
2020-11-27	@ Kolding IF	L 2-3	53.1	1365	1378	28.28%	25.56%	46.15%	-0.42	-3.2	8
2020-11-28	Esbjerg	L 0-2	42.1	1390	1479	31.82%	26.13%	42.05%	-0.52	-7.5	16
2020-11-28	@ HB Koge	W 2-0	42.1	1479	1390	42.05%	26.13%	31.82%	+0.52	+7.5	26
2020-11-28	Fredericia	L 0-4	36.9	1335	1443	29.59%	25.82%	44.59%	-0.69	-13.3	3
2020-11-28	@ Skive	W 4-0	36.9	1443	1335	44.59%	25.82%	29.59%	+0.69	+13.3	26
2020-11-29	Hvidovre	L 3-4	64.3	1445	1364	55.16%	23.22%	21.62%	+1.05	-5.3	16
2020-11-29	@ Hobro	W 4-3	64.3	1364	1445	21.62%	23.22%	55.16%	-1.05	+5.3	16
2020-12-03	Kolding IF	W 2-0	37.3	1486	1382	58.15%	22.14%	19.72%	+1.26	+4.8	29
2020-12-03	@ Esbjerg	L 0-2	37.3	1382	1486	19.72%	22.14%	58.15%	-1.26	-4.8	11
2020-12-04	Helsingor	W 2-1	48.4	1382	1381	44.42%	25.84%	29.74%	+0.31	+3.5	19
2020-12-04	@ HB Koge	L 1-2	48.4	1381	1382	29.74%	25.84%	44.42%	-0.31	-3.5	20
2020-12-04	Hobro	D 2-2	62.5	1322	1440	28.34%	25.57%	46.09%	-0.79	+0.3	4
2020-12-04	@ Skive	D 2-2	62.5	1440	1322	46.09%	25.57%	28.34%	+0.79	-0.3	17
2020-12-05	Viborg	D 1-1	62.1	1456	1520	35.09%	26.36%	38.55%	-0.30	+0.1	20
2020-12-05	@ Fremad Amager	D 1-1	62.1	1520	1456	38.55%	26.36%	35.09%	+0.30	-0.1	34
2020-12-06	Hvidovre	L 0-1	50.7	1456	1370	55.85%	22.99%	21.17%	+1.10	-6.1	26
2020-12-06	@ Fredericia	W 1-0	50.7	1370	1456	21.17%	22.99%	55.85%	-1.10	+6.1	19
2020-12-06	Silkeborg	W 2-1	57.8	1362	1527	23.53%	24.11%	52.36%	-1.21	+5.5	11
2020-12-06	@ Vendsyssel	L 1-2	57.8	1527	1362	52.36%	24.11%	23.53%	+1.21	-5.5	25
2020-12-09	Esbjerg	L 1-2	49.9	1367	1491	27.69%	25.43%	46.88%	-0.84	-3.3	11
2020-12-09	@ Vendsyssel	W 2-1	49.9	1491	1367	46.88%	25.43%	27.69%	+0.84	+3.3	32
2020-12-11	Fremad Amager	D 1-1	57.4	1377	1456	33.18%	26.25%	40.57%	-0.43	+0.2	12
2020-12-11	@ Kolding IF	D 1-1	57.4	1456	1377	40.57%	26.25%	33.18%	+0.43	-0.2	21
2020-12-11	HB Koge	D 1-1	61.3	1520	1386	61.79%	20.64%	17.57%	+1.54	-1.1	35
2020-12-11	@ Viborg	D 1-1	61.3	1386	1520	17.57%	20.64%	61.79%	-1.54	+1.1	20
2020-12-12	Fredericia	W 2-0	42.1	1521	1450	53.90%	23.64%	22.46%	+0.96	+5.5	28
2020-12-12	@ Silkeborg	L 0-2	42.1	1450	1521	22.46%	23.64%	53.90%	-0.96	-5.5	26
2020-12-12	Skive	L 1-2	53.5	1376	1322	51.57%	24.33%	24.10%	+0.79	-5.4	19
2020-12-12	@ Hvidovre	W 2-1	53.5	1322	1376	24.10%	24.33%	51.57%	-0.79	+5.4	7
2020-12-13	Esbjerg	L 1-2	50.6	1378	1495	28.49%	25.61%	45.90%	-0.77	-3.4	20
2020-12-13	@ Helsingor	W 2-1	50.6	1495	1378	45.90%	25.61%	28.49%	+0.77	+3.4	35
2020-12-13	Vendsyssel	W 3-1	43.1	1440	1364	54.48%	23.45%	22.07%	+1.00	+4.7	20
2020-12-13	@ Hobro	L 1-3	43.1	1364	1440	22.07%	23.45%	54.48%	-1.00	-4.7	11
2020-12-18	Kolding IF	D 1-1	57.9	1444	1377	53.39%	23.80%	22.81%	+0.92	-0.8	21
2020-12-18	@ Hobro	D 1-1	57.9	1377	1444	22.81%	23.80%	53.39%	-0.92	+0.8	13
2020-12-18	Silkeborg	L 0-4	35.1	1328	1527	20.57%	22.65%	56.77%	-1.53	-9.5	7
2020-12-18	@ Skive	W 4-0	35.1	1527	1328	56.77%	22.65%	20.57%	+1.53	+9.5	31
2020-12-18	Viborg	L 0-1	44.0	1374	1519	25.46%	24.81%	49.73%	-1.03	-3.3	20
2020-12-18	@ Helsingor	W 1-0	44.0	1519	1374	49.73%	24.81%	25.46%	+1.03	+3.3	38
2020-12-19	HB Koge	D 1-1	58.0	1444	1387	52.11%	24.18%	23.71%	+0.83	-0.7	27
2020-12-19	@ Fredericia	D 1-1	58.0	1387	1444	23.71%	24.18%	52.11%	-0.83	+0.7	21
2020-12-20	Esbjerg	L 0-1	44.0	1370	1498	27.27%	25.33%	47.40%	-0.87	-3.5	19
2020-12-20	@ Hvidovre	W 1-0	44.0	1498	1370	47.40%	25.33%	27.27%	+0.87	+3.5	38
2020-12-20	Fremad Amager	W 2-0	44.0	1359	1456	30.94%	26.02%	43.03%	-0.59	+9.4	14
2020-12-20	@ Vendsyssel	L 0-2	44.0	1456	1359	43.03%	26.02%	30.94%	+0.59	-9.4	21
2021-02-12	Fredericia	W 4-0	39.4	1522	1444	54.88%	23.32%	21.80%	+1.03	+10.1	41
2021-02-12	@ Viborg	L 0-4	39.4	1444	1522	21.80%	23.32%	54.88%	-1.03	-10.1	27
2021-02-12	Helsingor	L 0-2	43.2	1378	1371	45.23%	25.72%	29.05%	+0.36	-9.8	13
2021-02-12	@ Kolding IF	W 2-0	43.2	1371	1378	29.05%	25.72%	45.23%	-0.36	+9.8	23
2021-02-13	Hobro	D 1-1	57.3	1388	1444	36.31%	26.38%	37.31%	-0.22	+0.0	22
2021-02-13	@ HB Koge	D 1-1	57.3	1444	1388	37.31%	26.38%	36.31%	+0.22	-0.0	22
2021-02-13	Vendsyssel	D 0-0	55.3	1501	1369	61.56%	20.74%	17.71%	+1.52	-1.2	39
2021-02-13	@ Esbjerg	D 0-0	55.3	1369	1501	17.71%	20.74%	61.56%	-1.52	+1.2	15
2021-02-14	Hvidovre	W 2-0	36.1	1536	1367	65.82%	18.78%	15.40%	+1.86	+3.6	34
2021-02-14	@ Silkeborg	L 0-2	36.1	1367	1536	15.40%	18.78%	65.82%	-1.86	-3.6	19
2021-02-14	Skive	W 4-0	31.7	1446	1318	61.01%	20.97%	18.02%	+1.48	+8.3	24
2021-02-14	@ Fremad Amager	L 0-4	31.7	1318	1446	18.02%	20.97%	61.01%	-1.48	-8.3	7
2021-02-18	Kolding IF	W 3-0	34.2	1540	1368	66.08%	18.66%	15.26%	+1.88	+5.2	37
2021-02-18	@ Silkeborg	L 0-3	34.2	1368	1540	15.26%	18.66%	66.08%	-1.88	-5.2	13
2021-02-19	HB Koge	L 1-3	45.5	1310	1388	33.33%	26.26%	40.41%	-0.41	-6.7	7
2021-02-19	@ Skive	W 3-1	45.5	1388	1310	40.41%	26.26%	33.33%	+0.41	+6.7	25
2021-02-20	Fremad Amager	L 1-2	50.2	1363	1454	31.56%	26.10%	42.34%	-0.54	-3.7	19
2021-02-20	@ Hvidovre	W 2-1	50.2	1454	1363	42.34%	26.10%	31.56%	+0.54	+3.7	27
2021-02-20	Helsingor	L 0-1	50.0	1444	1381	52.80%	23.98%	23.22%	+0.88	-5.8	22
2021-02-20	@ Hobro	W 1-0	50.0	1381	1444	23.22%	23.98%	52.80%	-0.88	+5.8	26
2021-02-21	Esbjerg	L 0-1	48.7	1434	1500	34.83%	26.35%	38.82%	-0.31	-4.2	27
2021-02-21	@ Fredericia	W 1-0	48.7	1500	1434	38.82%	26.35%	34.83%	+0.31	+4.2	42
2021-02-21	Viborg	L 0-1	43.6	1370	1533	23.72%	24.18%	52.10%	-1.20	-3.1	15
2021-02-21	@ Vendsyssel	W 1-0	43.6	1533	1370	52.10%	24.18%	23.72%	+1.20	+3.1	44
2021-02-25	Silkeborg	L 1-2	60.1	1504	1545	38.55%	26.36%	35.10%	-0.07	-4.3	42
2021-02-25	@ Esbjerg	W 2-1	60.1	1545	1504	35.10%	26.36%	38.55%	+0.07	+4.3	40
2021-02-26	Fredericia	W 1-0	45.3	1387	1429	38.24%	26.37%	35.40%	-0.09	+4.3	29
2021-02-26	@ Helsingor	L 0-1	45.3	1429	1387	35.40%	26.37%	38.24%	+0.09	-4.3	27
2021-02-26	Hvidovre	W 1-0	39.0	1536	1359	66.60%	18.40%	15.00%	+1.92	+1.9	47
2021-02-26	@ Viborg	L 0-1	39.0	1359	1536	15.00%	18.40%	66.60%	-1.92	-1.9	19
2021-02-27	Skive	L 2-4	54.2	1363	1303	52.40%	24.09%	23.50%	+0.85	-8.5	13
2021-02-27	@ Kolding IF	W 4-2	54.2	1303	1363	23.50%	24.09%	52.40%	-0.85	+8.5	10
2021-02-28	Hobro	D 2-2	65.9	1458	1438	47.12%	25.38%	27.50%	+0.49	-0.4	28
2021-02-28	@ Fremad Amager	D 2-2	65.9	1438	1458	27.50%	25.38%	47.12%	-0.49	+0.3	23
2021-02-28	Vendsyssel	W 3-0	35.8	1394	1367	48.07%	25.19%	26.74%	+0.55	+9.4	28
2021-02-28	@ HB Koge	L 0-3	35.8	1367	1394	26.74%	25.19%	48.07%	-0.55	-9.4	15
2021-03-05	Hobro	D 1-1	58.3	1425	1438	42.45%	26.09%	31.46%	+0.18	-0.2	28
2021-03-05	@ Fredericia	D 1-1	58.3	1438	1425	31.46%	26.09%	42.45%	-0.18	+0.3	24
2021-03-05	Viborg	L 0-3	34.2	1312	1538	18.54%	21.35%	60.12%	-1.78	-6.5	10
2021-03-05	@ Skive	W 3-0	34.2	1538	1312	60.12%	21.35%	18.54%	+1.78	+6.5	50
2021-03-06	Fremad Amager	W 2-0	42.7	1500	1458	50.08%	24.72%	25.19%	+0.69	+6.1	45
2021-03-06	@ Esbjerg	L 0-2	42.7	1458	1500	25.19%	24.72%	50.08%	-0.69	-6.1	28
2021-03-06	Kolding IF	W 2-0	38.0	1358	1354	44.74%	25.79%	29.47%	+0.33	+7.0	22
2021-03-06	@ Hvidovre	L 0-2	38.0	1354	1358	29.47%	25.79%	44.74%	-0.33	-7.0	13
2021-03-07	HB Koge	W 2-0	38.6	1549	1404	63.09%	20.06%	16.85%	+1.64	+4.0	43
2021-03-07	@ Silkeborg	L 0-2	38.6	1404	1549	16.85%	20.06%	63.09%	-1.64	-4.0	28
2021-03-07	Helsingor	L 1-2	51.2	1358	1391	39.56%	26.31%	34.12%	-0.01	-4.4	15
2021-03-07	@ Vendsyssel	W 2-1	51.2	1391	1358	34.12%	26.31%	39.56%	+0.01	+4.4	32
2021-03-12	Hvidovre	W 2-0	37.6	1395	1365	48.53%	25.09%	26.38%	+0.58	+6.4	35
2021-03-12	@ Helsingor	L 0-2	37.6	1365	1395	26.38%	25.09%	48.53%	-0.58	-6.4	22
2021-03-13	Esbjerg	W 2-0	46.3	1544	1506	49.49%	24.87%	25.64%	+0.65	+6.2	53
2021-03-13	@ Viborg	L 0-2	46.3	1506	1544	25.64%	24.87%	49.49%	-0.65	-6.2	45
2021-03-13	Kolding IF	D 1-1	56.2	1400	1347	51.41%	24.38%	24.21%	+0.78	-0.7	29
2021-03-13	@ HB Koge	D 1-1	56.2	1347	1400	24.21%	24.38%	51.41%	-0.78	+0.7	14
2021-03-13	Silkeborg	L 0-3	43.3	1438	1553	28.71%	25.65%	45.64%	-0.76	-10.0	24
2021-03-13	@ Hobro	W 3-0	43.3	1553	1438	45.64%	25.65%	28.71%	+0.76	+10.0	46
2021-03-14	Fredericia	L 1-2	56.5	1452	1425	48.01%	25.20%	26.78%	+0.55	-5.1	28
2021-03-14	@ Fremad Amager	W 2-1	56.5	1425	1452	26.78%	25.20%	48.01%	-0.55	+5.1	31
2021-03-14	Skive	L 0-1	46.8	1353	1305	50.86%	24.52%	24.62%	+0.74	-5.7	15
2021-03-14	@ Vendsyssel	W 1-0	46.8	1305	1353	24.62%	24.52%	50.86%	-0.74	+5.7	13
2021-03-19	Fremad Amager	W 2-0	41.8	1563	1447	59.62%	21.55%	18.83%	+1.37	+4.6	49
2021-03-19	@ Silkeborg	L 0-2	41.8	1447	1563	18.83%	21.55%	59.62%	-1.37	-4.6	28
2021-03-19	HB Koge	D 0-0	51.0	1358	1399	38.51%	26.36%	35.13%	-0.07	-0.1	23
2021-03-19	@ Hvidovre	D 0-0	51.0	1399	1358	35.13%	26.36%	38.51%	+0.07	+0.1	30
2021-03-19	Helsingor	D 0-0	50.3	1311	1402	31.61%	26.10%	42.29%	-0.54	+0.3	14
2021-03-19	@ Skive	D 0-0	50.3	1402	1311	42.29%	26.10%	31.61%	+0.54	-0.3	36
2021-03-19	Hobro	W 1-0	43.9	1500	1428	53.95%	23.62%	22.43%	+0.96	+2.9	48
2021-03-19	@ Esbjerg	L 0-1	43.9	1428	1500	22.43%	23.62%	53.95%	-0.96	-2.9	24
2021-03-19	Vendsyssel	D 1-1	57.1	1430	1347	55.34%	23.16%	21.50%	+1.06	-0.8	32
2021-03-19	@ Fredericia	D 1-1	57.1	1347	1430	21.50%	23.16%	55.34%	-1.06	+0.8	16
2021-03-19	Viborg	L 0-1	42.0	1348	1550	20.31%	22.50%	57.19%	-1.56	-2.6	14
2021-03-19	@ Kolding IF	W 1-0	42.0	1550	1348	57.19%	22.50%	20.31%	+1.56	+2.6	56

Second Phase Game Log

Every second-phase (championship / middle / relegation round) game from each team's perspective, filtered by the team selected at the top of the tab; the table scrolls within its frame. Sort any column by clicking its header. @ before an opponent name indicates an away game. The final column is running points within the second phase only.

Date	Opponent	Score	Excitement	Pre Elo	Opp Elo	Win %	Tie %	Loss %	Proj. Margin	Elo Δ	Points
2021-04-03	Vendsyssel	W 3-0	33.7	1442	1348	56.77%	22.65%	20.57%	+1.16	+7.3	3
2021-04-03	@ Fremad Amager	L 0-3	33.7	1348	1442	20.57%	22.65%	56.77%	-1.16	-7.3	0
2021-04-04	Hobro	W 1-0	46.6	1311	1426	28.76%	25.66%	45.58%	-0.75	+5.2	3
2021-04-04	@ Skive	L 0-1	46.6	1426	1311	45.58%	25.66%	28.76%	+0.75	-5.2	0
2021-04-04	Hvidovre	D 1-1	55.0	1345	1358	42.51%	26.08%	31.41%	+0.18	-0.3	1
2021-04-04	@ Kolding IF	D 1-1	55.0	1358	1345	31.41%	26.08%	42.51%	-0.18	+0.3	1
2021-04-04	Viborg	D 1-1	61.7	1399	1553	24.56%	24.50%	50.94%	-1.12	+0.6	1
2021-04-04	@ HB Koge	D 1-1	61.7	1553	1399	50.94%	24.50%	24.56%	+1.12	-0.7	1
2021-04-05	Esbjerg	L 1-3	51.3	1429	1503	33.84%	26.30%	39.86%	-0.38	-6.8	0
2021-04-05	@ Fredericia	W 3-1	51.3	1503	1429	39.86%	26.30%	33.84%	+0.38	+6.8	3
2021-04-05	Helsingor	W 2-0	38.5	1568	1401	65.49%	18.94%	15.57%	+1.83	+3.7	3
2021-04-05	@ Silkeborg	L 0-2	38.5	1401	1568	15.57%	18.94%	65.49%	-1.83	-3.7	0
2021-04-09	HB Koge	W 3-1	46.1	1398	1400	44.03%	25.90%	30.08%	+0.28	+6.2	3
2021-04-09	@ Helsingor	L 1-3	46.1	1400	1398	30.08%	25.90%	44.03%	-0.28	-6.2	1
2021-04-09	Kolding IF	L 1-2	55.1	1420	1345	54.41%	23.47%	22.12%	+0.99	-5.6	0
2021-04-09	@ Hobro	W 2-1	55.1	1345	1420	22.12%	23.47%	54.41%	-0.99	+5.6	4
2021-04-10	Fredericia	W 4-1	43.5	1552	1422	61.24%	20.87%	17.89%	+1.50	+5.3	4
2021-04-10	@ Viborg	L 1-4	43.5	1422	1552	17.89%	20.87%	61.24%	-1.50	-5.3	0
2021-04-10	Fremad Amager	W 3-0	41.7	1358	1449	31.61%	26.10%	42.29%	-0.54	+13.4	4
2021-04-10	@ Hvidovre	L 0-3	41.7	1449	1358	42.29%	26.10%	31.61%	+0.54	-13.4	3
2021-04-10	Silkeborg	D 1-1	65.9	1510	1571	35.50%	26.37%	38.13%	-0.27	+0.1	4
2021-04-10	@ Esbjerg	D 1-1	65.9	1571	1510	38.13%	26.37%	35.50%	+0.27	-0.1	4
2021-04-11	Skive	D 1-1	54.7	1341	1316	47.72%	25.26%	27.02%	+0.53	-0.5	1
2021-04-11	@ Vendsyssel	D 1-1	54.7	1316	1341	27.02%	25.26%	47.72%	-0.53	+0.5	4
2021-04-16	Esbjerg	W 4-0	44.4	1558	1510	50.82%	24.53%	24.64%	+0.74	+11.4	7
2021-04-16	@ Viborg	L 0-4	44.4	1510	1558	24.64%	24.53%	50.82%	-0.74	-11.4	4
2021-04-16	Kolding IF	W 2-1	48.5	1317	1351	39.47%	26.32%	34.21%	-0.01	+4.0	7
2021-04-16	@ Skive	L 1-2	48.5	1351	1317	34.21%	26.32%	39.47%	+0.01	-4.0	4
2021-04-17	Hobro	D 0-0	53.4	1436	1415	47.23%	25.36%	27.41%	+0.50	-0.5	4
2021-04-17	@ Fremad Amager	D 0-0	53.4	1415	1436	27.41%	25.36%	47.23%	-0.50	+0.5	1
2021-04-17	Hvidovre	W 1-0	42.9	1341	1372	39.87%	26.30%	33.84%	+0.01	+4.2	4
2021-04-17	@ Vendsyssel	L 0-1	42.9	1372	1341	33.84%	26.30%	39.87%	-0.01	-4.1	4
2021-04-17	Silkeborg	L 0-3	39.8	1393	1571	22.33%	23.58%	54.10%	-1.34	-7.9	1
2021-04-17	@ HB Koge	W 3-0	39.8	1571	1393	54.10%	23.58%	22.33%	+1.34	+7.9	7
2021-04-18	Helsingor	W 2-0	39.6	1417	1404	46.10%	25.57%	28.33%	+0.42	+6.8	3
2021-04-18	@ Fredericia	L 0-2	39.6	1404	1417	28.33%	25.57%	46.10%	-0.42	-6.8	3
2021-04-23	Esbjerg	W 1-0	49.9	1397	1498	30.33%	25.93%	43.73%	-0.63	+5.0	6
2021-04-23	@ Helsingor	L 0-1	49.9	1498	1397	43.73%	25.93%	30.33%	+0.63	-5.0	4
2021-04-23	Vendsyssel	D 1-1	54.9	1347	1345	44.59%	25.82%	29.59%	+0.32	-0.4	5
2021-04-23	@ Kolding IF	D 1-1	54.9	1345	1347	29.59%	25.82%	44.59%	-0.32	+0.4	5
2021-04-23	Viborg	W 2-0	50.6	1579	1569	45.74%	25.63%	28.62%	+0.40	+6.8	10
2021-04-23	@ Silkeborg	L 0-2	50.6	1569	1579	28.62%	25.63%	45.74%	-0.40	-6.8	7
2021-04-24	Fredericia	L 1-2	52.3	1386	1424	38.88%	26.34%	34.77%	-0.05	-4.3	1
2021-04-24	@ HB Koge	W 2-1	52.3	1424	1386	34.77%	26.34%	38.88%	+0.05	+4.3	6
2021-04-24	Hvidovre	D 1-1	56.8	1415	1368	50.79%	24.54%	24.67%	+0.74	-0.6	2
2021-04-24	@ Hobro	D 1-1	56.8	1368	1415	24.67%	24.54%	50.79%	-0.74	+0.6	5
2021-04-25	Skive	W 2-0	34.3	1435	1321	59.38%	21.65%	18.97%	+1.36	+4.6	7
2021-04-25	@ Fremad Amager	L 0-2	34.3	1321	1435	18.97%	21.65%	59.38%	-1.36	-4.6	7
2021-04-29	HB Koge	W 1-0	40.7	1493	1381	59.06%	21.78%	19.16%	+1.33	+2.5	7
2021-04-29	@ Esbjerg	L 0-1	40.7	1381	1493	19.16%	21.78%	59.06%	-1.33	-2.5	1
2021-04-30	Fremad Amager	W 2-1	52.8	1346	1440	31.29%	26.07%	42.64%	-0.56	+4.7	8
2021-04-30	@ Kolding IF	L 1-2	52.8	1440	1346	42.64%	26.07%	31.29%	+0.56	-4.7	7
2021-04-30	Helsingor	L 0-3	51.2	1562	1402	64.75%	19.29%	15.96%	+1.77	-18.7	7
2021-04-30	@ Viborg	W 3-0	51.2	1402	1562	15.96%	19.29%	64.75%	-1.77	+18.7	9
2021-05-01	Skive	W 3-0	33.6	1368	1316	51.41%	24.38%	24.21%	+0.78	+8.6	8
2021-05-01	@ Hvidovre	L 0-3	33.6	1316	1368	24.21%	24.38%	51.41%	-0.78	-8.6	7
2021-05-02	Hobro	D 1-1	55.8	1345	1415	34.43%	26.33%	39.24%	-0.34	+0.1	6
2021-05-02	@ Vendsyssel	D 1-1	55.8	1415	1345	39.24%	26.33%	34.43%	+0.34	-0.1	3
2021-05-02	Silkeborg	L 0-1	47.8	1428	1586	24.15%	24.35%	51.50%	-1.15	-3.1	6
2021-05-02	@ Fredericia	W 1-0	47.8	1586	1428	51.50%	24.35%	24.15%	+1.15	+3.1	13
2021-05-05	Kolding IF	L 0-2	43.5	1377	1351	47.85%	25.24%	26.92%	+0.54	-10.2	8
2021-05-05	@ Hvidovre	W 2-0	43.5	1351	1377	26.92%	25.24%	47.85%	-0.54	+10.2	11
2021-05-06	Esbjerg	W 2-0	45.4	1589	1496	56.75%	22.66%	20.59%	+1.16	+5.0	16
2021-05-06	@ Silkeborg	L 0-2	45.4	1496	1589	20.59%	22.66%	56.75%	-1.16	-5.0	7
2021-05-06	Fremad Amager	W 2-0	41.8	1414	1435	41.35%	26.19%	32.46%	+0.11	+7.6	6
2021-05-06	@ Hobro	L 0-2	41.8	1435	1414	32.46%	26.19%	41.35%	-0.11	-7.6	7
2021-05-06	Vendsyssel	W 2-1	48.5	1308	1345	38.96%	26.34%	34.70%	-0.05	+4.0	10
2021-05-06	@ Skive	L 1-2	48.5	1345	1308	34.70%	26.34%	38.96%	+0.05	-4.0	6
2021-05-07	HB Koge	W 3-0	35.9	1425	1379	50.61%	24.59%	24.80%	+0.73	+8.8	9
2021-05-07	@ Fredericia	L 0-3	35.9	1379	1425	24.80%	24.59%	50.61%	-0.73	-8.8	1
2021-05-07	Viborg	L 0-3	42.0	1421	1543	27.85%	25.47%	46.68%	-0.83	-9.7	9
2021-05-07	@ Helsingor	W 3-0	42.0	1543	1421	46.68%	25.47%	27.85%	+0.83	+9.7	10
2021-05-10	Fredericia	L 1-2	59.0	1491	1434	52.05%	24.20%	23.75%	+0.83	-5.4	7
2021-05-10	@ Esbjerg	W 2-1	59.0	1434	1491	23.75%	24.20%	52.05%	-0.83	+5.4	12
2021-05-11	Helsingor	L 0-5	40.5	1370	1411	38.45%	26.36%	35.19%	-0.08	-20.1	1
2021-05-11	@ HB Koge	W 5-0	40.5	1411	1370	35.19%	26.36%	38.45%	+0.08	+20.1	12
2021-05-11	Kolding IF	W 3-0	36.8	1341	1361	41.45%	26.18%	32.37%	+0.12	+11.0	9
2021-05-11	@ Vendsyssel	L 0-3	36.8	1361	1341	32.37%	26.18%	41.45%	-0.12	-11.0	11
2021-05-11	Skive	W 3-0	32.1	1422	1312	58.87%	21.85%	19.28%	+1.32	+6.8	9
2021-05-11	@ Hobro	L 0-3	32.1	1312	1422	19.28%	21.85%	58.87%	-1.32	-6.8	10
2021-05-12	Hvidovre	L 0-1	49.3	1428	1367	52.57%	24.04%	23.38%	+0.86	-5.8	7
2021-05-12	@ Fremad Amager	W 1-0	49.3	1367	1428	23.38%	24.04%	52.57%	-0.86	+5.8	11
2021-05-12	Silkeborg	D 3-3	78.4	1553	1594	38.44%	26.36%	35.20%	-0.08	-0.0	11
2021-05-12	@ Viborg	D 3-3	78.4	1594	1553	35.20%	26.36%	38.44%	+0.08	+0.0	17
2021-05-14	Hobro	D 0-0	51.4	1350	1429	33.23%	26.26%	40.52%	-0.42	+0.2	12
2021-05-14	@ Kolding IF	D 0-0	51.4	1429	1350	40.52%	26.26%	33.23%	+0.42	-0.2	10
2021-05-15	HB Koge	W 4-1	38.7	1594	1350	73.81%	14.69%	11.50%	+2.55	+3.1	20
2021-05-15	@ Silkeborg	L 1-4	38.7	1350	1594	11.50%	14.69%	73.81%	-2.55	-3.1	1
2021-05-15	Vendsyssel	D 2-2	61.9	1373	1352	47.11%	25.39%	27.50%	+0.49	-0.4	12
2021-05-15	@ Hvidovre	D 2-2	61.9	1352	1373	27.50%	25.39%	47.11%	-0.49	+0.3	10
2021-05-15	Viborg	L 0-4	46.9	1485	1553	34.69%	26.34%	38.97%	-0.32	-15.1	7
2021-05-15	@ Esbjerg	W 4-0	46.9	1553	1485	38.97%	26.34%	34.69%	+0.32	+15.1	14
2021-05-16	Fredericia	W 2-1	51.4	1431	1439	43.19%	26.00%	30.80%	+0.23	+3.6	15
2021-05-16	@ Helsingor	L 1-2	51.4	1439	1431	30.80%	26.00%	43.19%	-0.23	-3.6	12
2021-05-16	Fremad Amager	W 1-0	46.5	1305	1422	28.44%	25.60%	45.96%	-0.78	+5.2	13
2021-05-16	@ Skive	L 0-1	46.5	1422	1305	45.96%	25.60%	28.44%	+0.78	-5.2	7
2021-05-21	Esbjerg	L 1-2	48.8	1347	1470	27.74%	25.44%	46.82%	-0.84	-3.3	1
2021-05-21	@ HB Koge	W 2-1	48.8	1470	1347	46.82%	25.44%	27.74%	+0.84	+3.3	10
2021-05-21	Silkeborg	D 3-3	75.2	1435	1598	23.73%	24.19%	52.08%	-1.20	+0.4	16
2021-05-21	@ Helsingor	D 3-3	75.2	1598	1435	52.08%	24.19%	23.73%	+1.20	-0.4	21
2021-05-21	Viborg	L 0-3	43.0	1436	1568	26.73%	25.19%	48.08%	-0.92	-9.4	12
2021-05-21	@ Fredericia	W 3-0	43.0	1568	1436	48.08%	25.19%	26.73%	+0.92	+9.4	17
2021-05-22	Hvidovre	D 2-2	61.0	1310	1372	35.44%	26.37%	38.19%	-0.27	+0.0	14
2021-05-22	@ Skive	D 2-2	61.0	1372	1310	38.19%	26.37%	35.44%	+0.27	-0.0	13
2021-05-22	Kolding IF	L 0-1	48.9	1417	1351	53.24%	23.84%	22.92%	+0.91	-5.9	7
2021-05-22	@ Fremad Amager	W 1-0	48.9	1351	1417	22.92%	23.84%	53.24%	-0.91	+5.9	15
2021-05-23	Vendsyssel	L 0-2	45.9	1429	1352	54.54%	23.43%	22.03%	+1.00	-11.3	10
2021-05-23	@ Hobro	W 2-0	45.9	1352	1429	22.03%	23.43%	54.54%	-1.00	+11.3	13
2021-05-26	Fredericia	W 2-1	49.9	1597	1426	66.00%	18.69%	15.30%	+1.87	+1.8	24
2021-05-26	@ Silkeborg	L 1-2	49.9	1426	1597	15.30%	18.69%	66.00%	-1.87	-1.8	12
2021-05-26	HB Koge	W 4-0	32.4	1578	1343	72.77%	15.25%	11.99%	+2.46	+5.1	20
2021-05-26	@ Viborg	L 0-4	32.4	1343	1578	11.99%	15.25%	72.77%	-2.46	-5.1	1
2021-05-26	Helsingor	D 2-2	66.5	1474	1435	49.53%	24.86%	25.61%	+0.65	-0.4	11
2021-05-26	@ Esbjerg	D 2-2	66.5	1435	1474	25.61%	24.86%	49.53%	-0.65	+0.4	17
2021-05-27	Fremad Amager	W 2-1	50.7	1364	1411	37.61%	26.38%	36.01%	-0.13	+4.1	16
2021-05-27	@ Vendsyssel	L 1-2	50.7	1411	1364	36.01%	26.38%	37.61%	+0.13	-4.1	7
2021-05-27	Hobro	W 4-0	39.2	1372	1417	37.86%	26.37%	35.76%	-0.12	+15.5	16
2021-05-27	@ Hvidovre	L 0-4	39.2	1417	1372	35.76%	26.37%	37.86%	+0.12	-15.5	10
2021-05-27	Skive	W 2-0	35.6	1356	1310	50.64%	24.58%	24.78%	+0.73	+6.0	18
2021-05-27	@ Kolding IF	L 0-2	35.6	1310	1356	24.78%	24.58%	50.64%	-0.73	-6.0	14

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	2021-04-30	15.96%	Helsingor	1402	3	@ Viborg	1562	0
2	2020-10-20	17.45%	Hvidovre	1342	2	@ Esbjerg	1479	0
3	2020-12-06	21.17%	Hvidovre	1370	1	@ Fredericia	1456	0
4	2020-11-22	21.47%	HB Koge	1384	1	@ Fremad Amager	1466	0
5	2020-11-29	21.62%	Hvidovre	1364	4	@ Hobro	1445	3
6	2021-05-23	22.03%	Vendsyssel	1352	2	@ Hobro	1429	0
7	2021-04-09	22.12%	Kolding IF	1345	2	@ Hobro	1420	1
8	2021-05-22	22.92%	Kolding IF	1351	1	@ Fremad Amager	1417	0
9	2021-02-20	23.22%	Helsingor	1381	1	@ Hobro	1444	0
10	2021-05-12	23.38%	Hvidovre	1367	1	@ Fremad Amager	1428	0
11	2021-02-27	23.50%	Skive	1303	4	@ Kolding IF	1363	2
12	2020-12-06	23.53%	@ Vendsyssel	1362	2	Silkeborg	1527	1
13	2021-05-10	23.75%	Fredericia	1434	2	@ Esbjerg	1491	1
14	2020-10-04	24.01%	Helsingor	1388	2	@ Fredericia	1442	1
15	2020-12-12	24.10%	Skive	1322	2	@ Hvidovre	1376	1
16	2021-03-14	24.62%	Skive	1305	1	@ Vendsyssel	1353	0
17	2020-10-04	25.30%	Hvidovre	1347	2	@ Vendsyssel	1388	1
18	2021-03-14	26.78%	Fredericia	1425	2	@ Fremad Amager	1452	1
19	2021-05-05	26.92%	Kolding IF	1351	2	@ Hvidovre	1377	0
20	2020-10-22	27.94%	Viborg	1499	2	@ Silkeborg	1516	1
21	2020-09-11	27.96%	@ Helsingor	1368	4	Silkeborg	1489	2
22	2020-10-31	28.19%	Fremad Amager	1448	4	@ Hobro	1463	0
23	2021-05-16	28.44%	@ Skive	1305	1	Fremad Amager	1422	0
24	2020-09-15	28.53%	Helsingor	1376	3	@ Hvidovre	1387	0
25	2021-04-04	28.76%	@ Skive	1311	1	Hobro	1426	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	2021-05-11	20.14	Helsingor	5	1411	35.19%	@ HB Koge	0	1370	38.45%	26.36%
2	2020-10-31	18.82	Fremad Amager	4	1448	28.19%	@ Hobro	0	1463	46.27%	25.54%
3	2020-09-12	18.81	@ Fremad Amager	6	1418	46.16%	Vendsyssel	0	1404	28.28%	25.56%
4	2021-04-30	18.71	Helsingor	3	1402	15.96%	@ Viborg	0	1562	64.75%	19.29%
5	2021-05-27	15.48	@ Hvidovre	4	1372	37.86%	Hobro	0	1417	35.76%	26.37%
6	2021-05-15	15.13	Viborg	4	1553	38.97%	@ Esbjerg	0	1485	34.69%	26.34%
7	2020-09-15	14.31	Helsingor	3	1376	28.53%	@ Hvidovre	0	1387	45.86%	25.61%
8	2020-09-30	13.81	Silkeborg	4	1488	43.15%	@ Kolding IF	0	1390	30.84%	26.01%
9	2020-09-15	13.46	@ Vendsyssel	3	1385	31.50%	Hobro	0	1477	42.41%	26.09%
10	2021-04-10	13.44	@ Hvidovre	3	1358	31.61%	Fremad Amager	0	1449	42.29%	26.10%
11	2020-11-28	13.35	Fredericia	4	1443	44.59%	@ Skive	0	1335	29.59%	25.82%
12	2020-10-03	12.55	Fremad Amager	3	1444	35.04%	@ HB Koge	0	1404	38.61%	26.35%
13	2020-10-20	12.48	Hvidovre	2	1342	17.45%	@ Esbjerg	0	1479	62.02%	20.54%
14	2020-10-25	12.19	Silkeborg	3	1511	36.45%	@ Fremad Amager	0	1461	37.17%	26.38%
15	2020-09-27	11.44	Viborg	3	1478	39.59%	@ HB Koge	0	1406	34.09%	26.31%
16	2020-10-01	11.40	Fredericia	3	1431	39.74%	@ Hvidovre	0	1358	33.96%	26.30%
17	2021-04-16	11.37	@ Viborg	4	1558	50.82%	Esbjerg	0	1510	24.64%	24.53%
18	2021-05-23	11.29	Vendsyssel	2	1352	22.03%	@ Hobro	0	1429	54.54%	23.43%
19	2021-05-11	10.99	@ Vendsyssel	3	1341	41.45%	Kolding IF	0	1361	32.37%	26.18%
20	2020-09-20	10.97	@ Fremad Amager	4	1430	52.10%	Hvidovre	0	1372	23.72%	24.18%
21	2020-09-18	10.60	@ Helsingor	3	1390	43.03%	Vendsyssel	0	1399	30.95%	26.02%
22	2021-05-05	10.19	Kolding IF	2	1351	26.92%	@ Hvidovre	0	1377	47.85%	25.24%
23	2021-02-12	10.11	@ Viborg	4	1522	54.88%	Fredericia	0	1444	21.80%	23.32%
24	2021-03-13	9.96	Silkeborg	3	1553	45.64%	@ Hobro	0	1438	28.71%	25.65%
25	2021-02-12	9.75	Helsingor	2	1371	29.05%	@ Kolding IF	0	1378	45.23%	25.72%

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	2021-05-12	78.4	@ Viborg	3	1553	38.44%	Silkeborg	3	1594	35.20%	26.36%
2	2021-05-21	75.2	@ Helsingor	3	1435	23.73%	Silkeborg	3	1598	52.08%	24.19%
3	2020-11-21	72.1	@ Silkeborg	3	1531	64.21%	Helsingor	3	1376	16.25%	19.54%
4	2020-10-03	68.4	@ Esbjerg	2	1479	42.29%	Viborg	2	1494	31.61%	26.10%
5	2021-05-26	66.5	@ Esbjerg	2	1474	49.53%	Helsingor	2	1435	25.61%	24.86%
6	2021-02-28	65.9	@ Fremad Amager	2	1458	47.12%	Hobro	2	1438	27.50%	25.38%
7	2021-04-10	65.9	@ Esbjerg	1	1510	35.50%	Silkeborg	1	1571	38.13%	26.37%
8	2020-11-29	64.3	Hvidovre	4	1364	21.62%	@ Hobro	3	1445	55.16%	23.22%
9	2020-12-04	62.5	@ Skive	2	1322	28.34%	Hobro	2	1440	46.09%	25.57%
10	2020-12-05	62.1	@ Fremad Amager	1	1456	35.09%	Viborg	1	1520	38.55%	26.36%
11	2021-05-15	61.9	@ Hvidovre	2	1373	47.11%	Vendsyssel	2	1352	27.50%	25.39%
12	2021-04-04	61.7	@ HB Koge	1	1399	24.56%	Viborg	1	1553	50.94%	24.50%
13	2020-09-29	61.6	Esbjerg	3	1475	33.22%	@ Fremad Amager	2	1449	40.52%	26.26%
14	2020-12-11	61.3	@ Viborg	1	1520	61.79%	HB Koge	1	1386	17.57%	20.64%
15	2020-09-10	61.2	@ Hobro	1	1478	45.45%	Viborg	1	1469	28.87%	25.68%
16	2020-11-06	61.2	@ Fredericia	1	1438	33.62%	Viborg	1	1514	40.09%	26.28%
17	2020-10-22	61.0	Viborg	2	1499	27.94%	@ Silkeborg	1	1516	46.57%	25.49%
18	2021-05-22	61.0	@ Skive	2	1310	35.44%	Hvidovre	2	1372	38.19%	26.37%
19	2021-02-25	60.1	Silkeborg	2	1545	35.10%	@ Esbjerg	1	1504	38.55%	26.36%
20	2021-05-10	59.0	Fredericia	2	1434	23.75%	@ Esbjerg	1	1491	52.05%	24.20%
21	2021-03-05	58.3	@ Fredericia	1	1425	42.45%	Hobro	1	1438	31.46%	26.09%
22	2020-10-17	58.2	@ Kolding IF	1	1377	30.18%	Esbjerg	1	1479	43.91%	25.91%
23	2020-12-19	58.0	@ Fredericia	1	1444	52.11%	HB Koge	1	1387	23.71%	24.18%
24	2020-12-18	57.9	@ Hobro	1	1444	53.39%	Kolding IF	1	1377	22.81%	23.80%
25	2020-12-06	57.8	@ Vendsyssel	2	1362	23.53%	Silkeborg	1	1527	52.36%	24.11%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2021-02-14	31.7	@ Fremad Amager	4	1446	61.01%	Skive	0	1318	18.02%	20.97%
2	2021-05-11	32.1	@ Hobro	3	1422	58.87%	Skive	0	1312	19.28%	21.85%
3	2021-05-26	32.4	@ Viborg	4	1578	72.77%	HB Koge	0	1343	11.99%	15.25%
4	2021-05-01	33.6	@ Hvidovre	3	1368	51.41%	Skive	0	1316	24.21%	24.38%
5	2021-04-03	33.7	@ Fremad Amager	3	1442	56.77%	Vendsyssel	0	1348	20.57%	22.65%
6	2021-02-18	34.2	@ Silkeborg	3	1540	66.08%	Kolding IF	0	1368	15.26%	18.66%
7	2021-03-05	34.2	Viborg	3	1538	60.12%	@ Skive	0	1312	18.54%	21.35%
8	2021-04-25	34.3	@ Fremad Amager	2	1435	59.38%	Skive	0	1321	18.97%	21.65%
9	2020-12-18	35.1	Silkeborg	4	1527	56.77%	@ Skive	0	1328	20.57%	22.65%
10	2020-09-20	35.2	@ Fremad Amager	4	1430	52.10%	Hvidovre	0	1372	23.72%	24.18%
11	2020-10-30	35.5	@ Viborg	3	1507	60.09%	Helsingor	0	1387	18.55%	21.36%
12	2021-05-27	35.6	@ Kolding IF	2	1356	50.64%	Skive	0	1310	24.78%	24.58%
13	2021-02-28	35.8	@ HB Koge	3	1394	48.07%	Vendsyssel	0	1367	26.74%	25.19%
14	2021-05-07	35.9	@ Fredericia	3	1425	50.61%	HB Koge	0	1379	24.80%	24.59%
15	2021-02-14	36.1	@ Silkeborg	2	1536	65.82%	Hvidovre	0	1367	15.40%	18.78%
16	2020-09-16	36.2	@ Silkeborg	2	1482	59.59%	Skive	0	1365	18.84%	21.56%
17	2021-05-11	36.8	@ Vendsyssel	3	1341	41.45%	Kolding IF	0	1361	32.37%	26.18%
18	2020-11-28	36.9	Fredericia	4	1443	44.59%	@ Skive	0	1335	29.59%	25.82%
19	2020-12-03	37.3	@ Esbjerg	2	1486	58.15%	Kolding IF	0	1382	19.72%	22.14%
20	2021-03-12	37.6	@ Helsingor	2	1395	48.53%	Hvidovre	0	1365	26.38%	25.09%
21	2020-09-18	37.8	@ Helsingor	3	1390	43.03%	Vendsyssel	0	1399	30.95%	26.02%
22	2021-03-06	38.0	@ Hvidovre	2	1358	44.74%	Kolding IF	0	1354	29.47%	25.79%
23	2021-04-05	38.5	@ Silkeborg	2	1568	65.49%	Helsingor	0	1401	15.57%	18.94%
24	2021-03-07	38.6	@ Silkeborg	2	1549	63.09%	HB Koge	0	1404	16.85%	20.06%
25	2021-05-15	38.7	@ Silkeborg	4	1594	73.81%	HB Koge	1	1350	11.50%	14.69%