2013-14 Superliga Season

198 games · 100,000 simulations

Final

Champion

Aalborg

62 points

Relegated

No relegation

Biggest Overachiever

Aalborg

13.90 points above expected

62 points · 48.10 expected points

Biggest Disappointment

Aarhus GF

9.18 points below expected

32 points · 41.18 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	Aalborg	33	18	8	7	62	60	38	+22	48.1	+13.90
2	FC Copenhagen	33	15	11	7	56	54	38	+16	53.4	+2.61
3	Midtjylland	33	16	7	10	55	61	38	+23	52.3	+2.69
4	Brondby	33	13	13	7	52	47	38	+9	43.8	+8.24
5	Esbjerg	33	13	9	11	48	47	38	+9	46.8	+1.18
6	Nordsjaelland	33	13	7	13	46	38	44	-6	45.9	+0.14
7	Randers	33	9	14	10	41	41	45	-4	40.6	+0.43
8	Odense	33	10	10	13	40	47	46	+1	43.0	-3.04
9	FC Vestsjaelland	33	8	14	11	38	31	42	-11	34.3	+3.73
10	Sonderjyske	33	10	8	15	38	41	53	-12	39.0	-0.97
11	Aarhus GF	33	9	5	19	32	38	60	-22	41.2	-9.18
12	Viborg	33	6	10	17	28	38	63	-25	37.1	-9.13

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
FC Copenhagen	1662	56	53.39	+2.61	66.8%	28	42	49	53	58	65	79
Aalborg	1642	62	48.10	+13.90	98.2%	23	37	43	48	53	60	74
Midtjylland	1642	55	52.31	+2.69	67.4%	28	41	48	52	57	64	77
Brondby	1612	52	43.76	+8.24	89.8%	16	32	39	44	48	55	73
Esbjerg	1606	48	46.82	+1.18	59.6%	24	35	42	47	51	58	73
Nordsjaelland	1591	46	45.86	+0.14	54.1%	19	35	41	46	51	57	75
Odense	1572	40	43.04	-3.04	36.2%	16	32	38	43	48	54	71
Randers	1555	41	40.57	+0.43	56.0%	17	30	36	41	45	52	69
Sonderjyske	1552	38	38.97	-0.97	47.8%	15	28	34	39	44	50	65
Aarhus GF	1507	32	41.18	-9.18	10.2%	18	30	36	41	46	53	64
FC Vestsjaelland	1502	38	34.27	+3.73	73.8%	10	23	30	34	39	46	61
Viborg	1475	28	37.13	-9.13	9.8%	14	26	32	37	42	48	63

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	AAL	AG	BRO	ESB	FC	FV	MID	NOR	ODE	RAN	SON	VIB
Aalborg	—	2-1-0 4.87	2-1-0 4.40	1-1-1 4.08	2-0-1 3.58	0-2-1 5.30	2-1-0 3.57	1-1-1 4.04	2-1-0 4.35	1-0-2 4.54	2-0-1 4.56	3-0-0 4.93
Aarhus GF	0-1-2 3.17	—	0-0-3 3.88	1-0-2 3.47	0-2-1 2.95	1-1-1 4.45	0-0-3 3.32	1-0-2 3.76	1-0-2 3.68	1-1-1 4.01	2-0-1 4.13	2-0-1 4.37
Brondby	0-1-2 3.50	3-0-0 4.02	—	1-1-1 3.88	1-1-1 3.35	1-2-0 4.93	2-0-1 3.22	1-2-0 3.84	1-1-1 3.99	1-2-0 4.34	1-1-1 4.42	1-2-0 4.34
Esbjerg	1-1-1 3.85	2-0-1 4.43	1-1-1 3.97	—	0-3-0 3.33	1-1-1 5.04	0-2-1 3.57	3-0-0 3.86	2-0-1 4.39	0-0-3 4.50	2-0-1 4.84	1-1-1 4.98
FC Copenhagen	1-0-2 4.31	1-2-0 5.14	1-1-1 4.57	0-3-0 4.62	—	2-1-0 5.73	1-0-2 4.04	1-1-1 4.41	3-0-0 4.93	0-2-1 5.12	2-1-0 5.31	3-0-0 5.19
FC Vestsjaelland	1-2-0 2.86	1-1-1 3.47	0-2-1 3.11	1-1-1 3.02	0-1-2 2.57	—	0-1-2 2.62	2-1-0 2.93	2-1-0 3.20	1-2-0 3.46	0-2-1 3.50	0-0-3 3.57
Midtjylland	0-1-2 4.32	3-0-0 4.67	1-0-2 4.74	1-2-0 4.32	2-0-1 3.84	2-1-0 5.66	—	1-0-2 4.66	0-1-2 4.77	2-1-0 4.82	2-0-1 5.14	2-1-0 5.32
Nordsjaelland	1-1-1 3.84	2-0-1 4.13	0-2-1 4.03	0-0-3 3.99	1-1-1 3.50	0-1-2 5.16	2-0-1 3.30	—	2-0-1 3.98	2-1-0 4.40	1-0-2 4.51	2-1-0 5.01
Odense	0-1-2 3.53	2-0-1 4.18	1-1-1 3.90	1-0-2 3.52	0-0-3 3.09	0-1-2 4.78	2-1-0 3.21	1-0-2 3.88	—	1-2-0 4.05	1-2-0 4.27	1-2-0 4.62
Randers	2-0-1 3.42	1-1-1 3.86	0-2-1 3.57	3-0-0 3.43	1-2-0 2.97	0-2-1 4.45	0-1-2 3.18	0-1-2 3.51	0-2-1 3.82	—	1-1-1 4.31	1-2-0 4.11
Sonderjyske	1-0-2 3.39	1-0-2 3.74	1-1-1 3.53	1-0-2 3.15	0-1-2 2.83	1-2-0 4.44	1-0-2 2.96	2-0-1 3.42	0-2-1 3.62	1-1-1 3.58	—	1-1-1 4.28
Viborg	0-0-3 3.10	1-0-2 3.54	0-2-1 3.55	1-1-1 3.09	0-0-3 2.94	3-0-0 4.33	0-1-2 2.84	0-1-2 3.03	0-2-1 3.32	0-2-1 3.75	1-1-1 3.67	—

Goal Differential vs Points

Each team plotted by their final goal differential (x) and final point total (y). Teams above the broad trend (more points than their GD would suggest) were efficient at narrow wins; teams below took more lopsided losses than their results imply.

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	7.58%	8.08%	4.80%	2.78%	1.01%	0.25%	24.49%
1	8.08%	14.65%	6.82%	5.30%	1.77%	0.76%	37.37%
2	4.80%	6.82%	7.07%	2.27%	0.51%	0.76%	22.22%
3	2.78%	5.30%	2.27%	—	—	0.25%	10.61%
4	1.01%	1.77%	0.51%	—	—	—	3.28%
5+	0.25%	0.76%	0.76%	0.25%	—	—	2.02%
Total	24.49%	37.37%	22.22%	10.61%	3.28%	2.02%	100%

Summary Statistics

Mean scored	1.37
Mean allowed	1.37
StdDev scored	1.18
StdDev allowed	1.18
Mean total goals/game	2.74
Correlation (home vs away score)	-0.033
Sample size (games)	198

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

Aalborg — Summary Statistics

Mean scored	1.82
Mean allowed	1.15
StdDev scored	1.38
StdDev allowed	1.00
Mean total goals/game	2.97
Correlation (scored vs allowed)	0.156
Games played	33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	21.21%	3.03%	12.12%	3.03%	—	42.42%
1	—	6.06%	6.06%	3.03%	3.03%	3.03%	21.21%
2	6.06%	9.09%	6.06%	—	—	3.03%	24.24%
3	3.03%	6.06%	—	—	—	—	9.09%
4	—	—	—	—	—	—	—
5+	—	—	—	3.03%	—	—	3.03%
Total	12.12%	42.42%	15.15%	18.18%	6.06%	6.06%	100%

Aarhus GF — Summary Statistics

Mean scored	1.15
Mean allowed	1.82
StdDev scored	1.35
StdDev allowed	1.38
Mean total goals/game	2.97
Correlation (scored vs allowed)	-0.052
Games played	33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	12.12%	3.03%	6.06%	—	—	—	21.21%
1	12.12%	15.15%	6.06%	3.03%	—	—	36.36%
2	3.03%	6.06%	12.12%	—	—	3.03%	24.24%
3	3.03%	9.09%	3.03%	—	—	—	15.15%
4	—	3.03%	—	—	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	30.30%	36.36%	27.27%	3.03%	—	3.03%	100%

Brondby — Summary Statistics

Mean scored	1.42
Mean allowed	1.15
StdDev scored	1.09
StdDev allowed	1.09
Mean total goals/game	2.58
Correlation (scored vs allowed)	0.180
Games played	33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	12.12%	9.09%	3.03%	6.06%	—	—	30.30%
1	6.06%	9.09%	6.06%	6.06%	—	—	27.27%
2	6.06%	9.09%	6.06%	3.03%	—	—	24.24%
3	3.03%	6.06%	—	—	—	—	9.09%
4	3.03%	3.03%	—	—	—	—	6.06%
5+	—	3.03%	—	—	—	—	3.03%
Total	30.30%	39.39%	15.15%	15.15%	—	—	100%

Esbjerg — Summary Statistics

Mean scored	1.42
Mean allowed	1.15
StdDev scored	1.35
StdDev allowed	1.03
Mean total goals/game	2.58
Correlation (scored vs allowed)	-0.137
Games played	33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	6.06%	—	—	—	—	9.09%
1	12.12%	24.24%	6.06%	3.03%	—	3.03%	48.48%
2	6.06%	6.06%	6.06%	3.03%	—	—	21.21%
3	3.03%	3.03%	6.06%	—	—	—	12.12%
4	3.03%	6.06%	—	—	—	—	9.09%
5+	—	—	—	—	—	—	—
Total	27.27%	45.45%	18.18%	6.06%	—	3.03%	100%

FC Copenhagen — Summary Statistics

Mean scored	1.64
Mean allowed	1.15
StdDev scored	1.11
StdDev allowed	1.09
Mean total goals/game	2.79
Correlation (scored vs allowed)	-0.030
Games played	33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	15.15%	12.12%	9.09%	—	3.03%	—	39.39%
1	3.03%	18.18%	—	6.06%	3.03%	—	30.30%
2	3.03%	15.15%	9.09%	—	—	—	27.27%
3	—	3.03%	—	—	—	—	3.03%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	21.21%	48.48%	18.18%	6.06%	6.06%	—	100%

FC Vestsjaelland — Summary Statistics

Mean scored	0.94
Mean allowed	1.27
StdDev scored	0.90
StdDev allowed	1.07
Mean total goals/game	2.21
Correlation (scored vs allowed)	0.050
Games played	33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	9.09%	3.03%	—	—	—	18.18%
1	6.06%	12.12%	6.06%	6.06%	—	—	30.30%
2	6.06%	6.06%	3.03%	6.06%	—	—	21.21%
3	9.09%	6.06%	3.03%	—	—	—	18.18%
4	3.03%	—	—	—	—	—	3.03%
5+	—	3.03%	6.06%	—	—	—	9.09%
Total	30.30%	36.36%	21.21%	12.12%	—	—	100%

Midtjylland — Summary Statistics

Mean scored	1.85
Mean allowed	1.15
StdDev scored	1.48
StdDev allowed	1.00
Mean total goals/game	3.00
Correlation (scored vs allowed)	0.016
Games played	33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	6.06%	3.03%	—	6.06%	—	18.18%
1	21.21%	12.12%	15.15%	3.03%	3.03%	—	54.55%
2	6.06%	6.06%	6.06%	—	3.03%	—	21.21%
3	3.03%	3.03%	—	—	—	—	6.06%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	33.33%	27.27%	24.24%	3.03%	12.12%	—	100%

Nordsjaelland — Summary Statistics

Mean scored	1.15
Mean allowed	1.33
StdDev scored	0.80
StdDev allowed	1.31
Mean total goals/game	2.48
Correlation (scored vs allowed)	-0.199
Games played	33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	15.15%	3.03%	—	—	—	24.24%
1	6.06%	18.18%	9.09%	3.03%	—	—	36.36%
2	3.03%	9.09%	6.06%	6.06%	—	—	24.24%
3	—	3.03%	—	—	—	3.03%	6.06%
4	—	3.03%	3.03%	—	—	—	6.06%
5+	—	3.03%	—	—	—	—	3.03%
Total	15.15%	51.52%	21.21%	9.09%	—	3.03%	100%

Odense — Summary Statistics

Mean scored	1.42
Mean allowed	1.39
StdDev scored	1.28
StdDev allowed	1.17
Mean total goals/game	2.82
Correlation (scored vs allowed)	0.282
Games played	33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	9.09%	6.06%	3.03%	—	—	21.21%
1	6.06%	33.33%	3.03%	6.06%	3.03%	—	51.52%
2	—	3.03%	6.06%	—	—	—	9.09%
3	3.03%	9.09%	6.06%	—	—	—	18.18%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	12.12%	54.55%	21.21%	9.09%	3.03%	—	100%

Randers — Summary Statistics

Mean scored	1.24
Mean allowed	1.36
StdDev scored	1.00
StdDev allowed	0.93
Mean total goals/game	2.61
Correlation (scored vs allowed)	-0.064
Games played	33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	—	9.09%	6.06%	—	—	21.21%
1	9.09%	12.12%	12.12%	12.12%	3.03%	3.03%	51.52%
2	6.06%	—	6.06%	—	—	—	12.12%
3	3.03%	6.06%	3.03%	—	—	—	12.12%
4	3.03%	—	—	—	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	27.27%	18.18%	30.30%	18.18%	3.03%	3.03%	100%

Sonderjyske — Summary Statistics

Mean scored	1.24
Mean allowed	1.61
StdDev scored	1.03
StdDev allowed	1.32
Mean total goals/game	2.85
Correlation (scored vs allowed)	-0.295
Games played	33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	6.06%	9.09%	3.03%	—	3.03%	30.30%
1	6.06%	9.09%	3.03%	12.12%	6.06%	—	36.36%
2	3.03%	—	12.12%	3.03%	3.03%	3.03%	24.24%
3	3.03%	3.03%	—	—	—	—	6.06%
4	—	3.03%	—	—	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	21.21%	21.21%	24.24%	18.18%	9.09%	6.06%	100%

Viborg — Summary Statistics

Mean scored	1.15
Mean allowed	1.91
StdDev scored	1.03
StdDev allowed	1.49
Mean total goals/game	3.06
Correlation (scored vs allowed)	-0.011
Games played	33

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	Aalborg	62	48.1	+13.90
2	Brondby	52	43.8	+8.24
3	FC Vestsjaelland	38	34.3	+3.73
4	Midtjylland	55	52.3	+2.69
5	FC Copenhagen	56	53.4	+2.61

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Aarhus GF	32	41.2	-9.18
2	Viborg	28	37.1	-9.13
3	Odense	40	43.0	-3.04
4	Sonderjyske	38	39.0	-0.97
5	Nordsjaelland	46	45.9	+0.14

Top Streaks

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

Longest Winning Streaks

#	Team	Games	Dates	Probability
1	Randers	4	Apr 4 – Apr 20	1 in 199
2	Midtjylland	5	Jul 19 – Aug 16	1 in 184
3	Aalborg	4	Mar 30 – Apr 16	1 in 68
4	Brondby	3	Sep 15 – Sep 28	1 in 50
5	Esbjerg	3	Feb 24 – Mar 9	1 in 25

Longest Losing Streaks

#	Team	Games	Dates	Probability
1	Sonderjyske	6	Sep 29 – Nov 9	1 in 302
2	Viborg	7	Apr 13 – May 11	1 in 283
3	Aarhus GF	6	Mar 24 – Apr 21	1 in 275
4	Esbjerg	4	Oct 6 – Nov 3	1 in 197
5	Nordsjaelland	4	Aug 25 – Sep 22	1 in 127

Longest Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Brondby	9	Sep 15 – Nov 24	1 in 44
2	Midtjylland	12	Jul 19 – Oct 19	1 in 39
3	FC Vestsjaelland	6	Aug 5 – Sep 15	1 in 28
4	Aalborg	10	Oct 27 – Mar 16	1 in 24
5	FC Copenhagen	9	Oct 6 – Feb 23	1 in 11

Longest Winless Streaks

#	Team	Games	Dates	Probability
1	Esbjerg	8	Oct 6 – Dec 8	1 in 34
2	FC Copenhagen	6	Jul 21 – Aug 25	1 in 21
3	Midtjylland	5	Sep 21 – Oct 26	1 in 20
4	Viborg	10	Mar 30 – May 18	1 in 16
5	Brondby	7	Jul 21 – Sep 1	1 in 13

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.

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
Aalborg	12.17%	14.84%	14.10%	13.77%	10.91%	9.22%	7.84%	6.07%	4.84%	3.25%	2.11%	0.88%
FC Copenhagen	33.34%	21.72%	14.70%	9.95%	7.10%	4.64%	3.46%	2.36%	1.35%	0.79%	0.43%	0.16%
Midtjylland	28.96%	21.53%	14.58%	11.02%	7.44%	5.62%	4.07%	2.85%	1.82%	1.33%	0.57%	0.21%
Brondby	3.75%	6.26%	8.93%	9.95%	11.51%	11.19%	11.20%	10.69%	9.42%	7.78%	5.88%	3.44%
Esbjerg	8.07%	11.23%	13.47%	12.49%	12.26%	10.61%	9.07%	7.81%	5.88%	4.31%	3.36%	1.44%
Nordsjaelland	5.98%	9.67%	11.29%	11.80%	11.43%	11.59%	9.81%	8.77%	7.75%	5.91%	3.82%	2.18%
Randers	1.53%	2.95%	4.50%	6.16%	7.53%	9.57%	11.09%	12.04%	11.94%	12.28%	11.52%	8.89%
Odense	2.86%	5.35%	7.37%	9.55%	10.82%	11.26%	11.46%	10.28%	10.36%	8.95%	7.40%	4.34%
FC Vestsjaelland	0.21%	0.42%	1.14%	1.46%	2.50%	4.08%	4.42%	6.50%	9.63%	13.88%	20.26%	35.50%
Sonderjyske	0.98%	1.78%	3.44%	4.25%	5.91%	8.10%	8.76%	11.20%	13.02%	14.35%	14.69%	13.52%
Aarhus GF	1.62%	3.14%	4.81%	6.73%	8.36%	8.64%	11.02%	12.06%	12.10%	12.19%	11.11%	8.22%
Viborg	0.53%	1.11%	1.67%	2.87%	4.23%	5.48%	7.80%	9.37%	11.89%	14.98%	18.85%	21.22%

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).

No Trend Data Yet

Season Trends will appear here once midseason progression snapshots are available for this season.

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	Same level	Direct relegation
FC Copenhagen	99.4%	0.6%
Midtjylland	99.2%	0.8%
Aalborg	97.0%	3.0%
Esbjerg	95.2%	4.8%
Nordsjaelland	94.0%	6.0%
Brondby	90.7%	9.3%
Odense	88.3%	11.7%
Aarhus GF	80.7%	19.3%
Randers	79.6%	20.4%
Sonderjyske	71.8%	28.2%
Viborg	59.9%	40.1%
FC Vestsjaelland	44.2%	55.8%

Filter by Team:

Overall Game Log

Every regular-season game from each team's perspective. Use the team filter 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.

Date	Opponent	Score	Pre Elo	Opp Elo	Win %	Tie %	Loss %	Elo Δ	Points
2013-07-19	Midtjylland	L 0-2	1581	1595	31.9%	38.2%	29.9%	-8.7	0
2013-07-19	@ Aarhus GF	W 2-0	1595	1581	29.9%	38.2%	31.9%	+8.7	3
2013-07-20	Randers	D 2-2	1535	1560	30.3%	38.3%	31.4%	+0.0	1
2013-07-20	@ Viborg	D 2-2	1560	1535	31.4%	38.3%	30.3%	-0.0	1
2013-07-21	FC Copenhagen	W 2-1	1578	1632	26.8%	37.3%	35.9%	+4.7	3
2013-07-21	@ Aalborg	L 1-2	1632	1578	35.9%	37.3%	26.8%	-4.6	0
2013-07-21	FC Vestsjaelland	D 1-1	1572	1516	43.6%	33.0%	23.4%	-0.5	1
2013-07-21	@ Brondby	D 1-1	1516	1572	23.4%	33.0%	43.6%	+0.5	1
2013-07-21	Sonderjyske	D 1-1	1568	1572	33.4%	38.0%	28.6%	-0.1	1
2013-07-21	@ Odense	D 1-1	1572	1568	28.6%	38.0%	33.4%	+0.1	1
2013-07-22	Nordsjaelland	W 4-0	1589	1617	29.8%	38.2%	31.9%	+16.5	3
2013-07-22	@ Esbjerg	L 0-4	1617	1589	31.9%	38.2%	29.8%	-16.5	0
2013-07-26	Viborg	D 1-1	1601	1535	45.5%	31.7%	22.9%	-0.6	1
2013-07-26	@ Nordsjaelland	D 1-1	1535	1601	22.9%	31.7%	45.5%	+0.6	2
2013-07-27	Aarhus GF	L 0-2	1517	1573	26.6%	37.1%	36.2%	-7.7	1
2013-07-27	@ FC Vestsjaelland	W 2-0	1573	1517	36.2%	37.1%	26.6%	+7.7	3
2013-07-28	FC Copenhagen	W 1-0	1604	1627	30.6%	38.3%	31.1%	+4.5	6
2013-07-28	@ Midtjylland	L 0-1	1627	1604	31.1%	38.3%	30.6%	-4.5	0
2013-07-28	Odense	D 1-1	1560	1568	32.7%	38.1%	29.1%	-0.1	2
2013-07-28	@ Randers	D 1-1	1568	1560	29.1%	38.1%	32.7%	+0.1	2
2013-07-28	Brondby	W 1-0	1572	1572	34.1%	37.8%	28.1%	+4.2	4
2013-07-28	@ Sonderjyske	L 0-1	1572	1572	28.1%	37.8%	34.1%	-4.2	1
2013-07-29	Aalborg	L 1-2	1605	1583	37.7%	36.5%	25.8%	-4.8	3
2013-07-29	@ Esbjerg	W 2-1	1583	1605	25.8%	36.5%	37.7%	+4.8	6
2013-08-02	Sonderjyske	W 2-1	1609	1577	39.3%	35.7%	25.0%	+3.6	9
2013-08-02	@ Midtjylland	L 1-2	1577	1609	25.0%	35.7%	39.3%	-3.6	4
2013-08-03	Nordsjaelland	W 2-1	1580	1600	31.0%	38.3%	30.7%	+4.2	6
2013-08-03	@ Aarhus GF	L 1-2	1600	1580	30.7%	38.3%	31.0%	-4.2	1
2013-08-04	Esbjerg	L 0-2	1568	1601	29.2%	38.1%	32.6%	-8.2	1
2013-08-04	@ Brondby	W 2-0	1601	1568	32.6%	38.1%	29.2%	+8.2	6
2013-08-04	Randers	L 1-3	1623	1560	44.9%	32.1%	23.0%	-9.1	0
2013-08-04	@ FC Copenhagen	W 3-1	1560	1623	23.0%	32.1%	44.9%	+9.1	5
2013-08-04	Viborg	W 4-2	1568	1536	39.5%	35.6%	24.9%	+5.6	5
2013-08-04	@ Odense	L 2-4	1536	1568	24.9%	35.6%	39.5%	-5.6	2
2013-08-05	Aalborg	W 2-1	1509	1588	24.7%	35.3%	40.1%	+5.0	4
2013-08-05	@ FC Vestsjaelland	L 1-2	1588	1509	40.1%	35.3%	24.7%	-5.0	6
2013-08-09	Brondby	D 2-2	1530	1559	29.7%	38.2%	32.1%	+0.0	3
2013-08-09	@ Viborg	D 2-2	1559	1530	32.1%	38.2%	29.7%	-0.0	2
2013-08-10	Aarhus GF	W 5-1	1609	1585	38.0%	36.4%	25.6%	+11.7	9
2013-08-10	@ Esbjerg	L 1-5	1585	1609	25.6%	36.4%	38.0%	-11.7	6
2013-08-11	Odense	D 0-0	1583	1574	35.4%	37.5%	27.2%	-0.2	7
2013-08-11	@ Aalborg	D 0-0	1574	1583	27.2%	37.5%	35.4%	+0.2	6
2013-08-11	FC Copenhagen	D 2-2	1596	1613	31.4%	38.3%	30.3%	-0.0	2
2013-08-11	@ Nordsjaelland	D 2-2	1613	1596	30.3%	38.3%	31.4%	+0.0	1
2013-08-11	Midtjylland	L 1-3	1569	1612	28.0%	37.8%	34.2%	-6.9	5
2013-08-11	@ Randers	W 3-1	1612	1569	34.2%	37.8%	28.0%	+6.9	12
2013-08-12	FC Vestsjaelland	D 0-0	1573	1514	44.2%	32.6%	23.2%	-0.6	5
2013-08-12	@ Sonderjyske	D 0-0	1514	1573	23.2%	32.6%	44.2%	+0.6	5
2013-08-16	Brondby	W 5-2	1619	1559	44.3%	32.5%	23.2%	+7.0	15
2013-08-16	@ Midtjylland	L 2-5	1559	1619	23.2%	32.5%	44.3%	-7.0	2
2013-08-17	Aalborg	W 2-1	1596	1582	36.2%	37.1%	26.6%	+3.8	5
2013-08-17	@ Nordsjaelland	L 1-2	1582	1596	26.6%	37.1%	36.2%	-3.8	7
2013-08-18	Aarhus GF	D 1-1	1614	1573	40.9%	34.8%	24.3%	-0.4	2
2013-08-18	@ FC Copenhagen	D 1-1	1573	1614	24.3%	34.8%	40.9%	+0.4	7
2013-08-18	Odense	D 1-1	1515	1574	26.3%	36.9%	36.8%	+0.2	6
2013-08-18	@ FC Vestsjaelland	D 1-1	1574	1515	36.8%	36.9%	26.3%	-0.2	7
2013-08-18	Viborg	L 0-3	1572	1530	41.1%	34.6%	24.2%	-14.6	5
2013-08-18	@ Sonderjyske	W 3-0	1530	1572	24.2%	34.6%	41.1%	+14.6	6
2013-08-19	Esbjerg	W 3-2	1562	1620	26.4%	37.0%	36.7%	+4.5	8
2013-08-19	@ Randers	L 2-3	1620	1562	36.7%	37.0%	26.4%	-4.5	9
2013-08-23	Sonderjyske	W 3-1	1573	1558	36.5%	37.0%	26.5%	+6.6	10
2013-08-23	@ Aarhus GF	L 1-3	1558	1573	26.5%	37.0%	36.5%	-6.6	5
2013-08-25	Randers	D 0-0	1552	1566	31.9%	38.2%	29.9%	-0.0	3
2013-08-25	@ Brondby	D 0-0	1566	1552	29.9%	38.2%	31.9%	+0.0	9
2013-08-25	FC Vestsjaelland	D 1-1	1613	1515	51.6%	26.9%	21.5%	-0.8	3
2013-08-25	@ FC Copenhagen	D 1-1	1515	1613	21.5%	26.9%	51.6%	+0.8	7
2013-08-25	Nordsjaelland	W 1-0	1574	1600	30.2%	38.3%	31.6%	+4.6	10
2013-08-25	@ Odense	L 0-1	1600	1574	31.6%	38.3%	30.2%	-4.6	5
2013-08-25	Esbjerg	W 3-1	1545	1616	25.2%	35.9%	38.8%	+8.4	9
2013-08-25	@ Viborg	L 1-3	1616	1545	38.8%	35.9%	25.2%	-8.4	9
2013-08-26	Midtjylland	D 1-1	1579	1626	27.5%	37.6%	34.9%	+0.2	8
2013-08-26	@ Aalborg	D 1-1	1626	1579	34.9%	37.6%	27.5%	-0.2	16
2013-08-30	Aarhus GF	L 3-6	1579	1580	33.8%	37.9%	28.3%	-8.8	10
2013-08-30	@ Odense	W 6-3	1580	1579	28.3%	37.9%	33.8%	+8.8	13
2013-09-01	Brondby	W 2-1	1579	1552	38.4%	36.2%	25.5%	+3.7	11
2013-09-01	@ Aalborg	L 1-2	1552	1579	25.5%	36.2%	38.4%	-3.7	3
2013-09-01	Midtjylland	D 1-1	1608	1626	31.2%	38.3%	30.5%	-0.0	10
2013-09-01	@ Esbjerg	D 1-1	1626	1608	30.5%	38.3%	31.2%	+0.0	17
2013-09-01	FC Vestsjaelland	L 1-2	1595	1516	48.0%	29.7%	22.2%	-5.5	5
2013-09-01	@ Nordsjaelland	W 2-1	1516	1595	22.2%	29.7%	48.0%	+5.5	10
2013-09-01	FC Copenhagen	L 1-4	1553	1612	26.3%	36.9%	36.8%	-9.3	9
2013-09-01	@ Viborg	W 4-1	1612	1553	36.8%	36.9%	26.3%	+9.3	6
2013-09-02	Sonderjyske	L 0-2	1567	1551	36.5%	37.0%	26.5%	-9.4	9
2013-09-02	@ Randers	W 2-0	1551	1567	26.5%	37.0%	36.5%	+9.4	8
2013-09-13	Aalborg	L 1-3	1561	1582	30.8%	38.3%	30.9%	-7.4	8
2013-09-13	@ Sonderjyske	W 3-1	1582	1561	30.9%	38.3%	30.8%	+7.4	14
2013-09-14	Esbjerg	D 1-1	1622	1608	36.3%	37.1%	26.6%	-0.2	7
2013-09-14	@ FC Copenhagen	D 1-1	1608	1622	26.6%	37.1%	36.3%	+0.2	11
2013-09-15	Viborg	L 0-1	1589	1544	41.6%	34.4%	24.1%	-5.4	13
2013-09-15	@ Aarhus GF	W 1-0	1544	1589	24.1%	34.4%	41.6%	+5.4	12
2013-09-15	Odense	W 2-1	1549	1570	30.9%	38.3%	30.8%	+4.2	6
2013-09-15	@ Brondby	L 1-2	1570	1549	30.8%	38.3%	30.9%	-4.2	10
2013-09-15	Randers	W 2-0	1521	1557	28.9%	38.1%	33.1%	+8.9	13
2013-09-15	@ FC Vestsjaelland	L 0-2	1557	1521	33.1%	38.1%	28.9%	-8.9	9
2013-09-16	Nordsjaelland	W 2-1	1626	1590	40.0%	35.3%	24.7%	+3.6	20
2013-09-16	@ Midtjylland	L 1-2	1590	1626	24.7%	35.3%	40.0%	-3.6	5
2013-09-20	Aalborg	W 3-2	1548	1590	28.2%	37.9%	33.9%	+4.3	12
2013-09-20	@ Randers	L 2-3	1590	1548	33.9%	37.9%	28.2%	-4.3	14
2013-09-21	Viborg	D 0-0	1630	1549	48.2%	29.6%	22.2%	-0.7	21
2013-09-21	@ Midtjylland	D 0-0	1549	1630	22.2%	29.6%	48.2%	+0.7	13
2013-09-22	Brondby	L 1-3	1583	1553	39.0%	35.8%	25.1%	-8.5	13
2013-09-22	@ Aarhus GF	W 3-1	1553	1583	25.1%	35.8%	39.0%	+8.5	9
2013-09-22	Odense	W 2-1	1621	1565	43.6%	33.0%	23.4%	+3.3	10
2013-09-22	@ FC Copenhagen	L 1-2	1565	1621	23.4%	33.0%	43.6%	-3.3	10
2013-09-22	Nordsjaelland	W 2-0	1553	1586	29.2%	38.1%	32.6%	+8.8	11
2013-09-22	@ Sonderjyske	L 0-2	1586	1553	32.6%	38.1%	29.2%	-8.8	5
2013-09-23	Esbjerg	L 1-3	1530	1608	24.7%	35.3%	39.9%	-6.2	13
2013-09-23	@ FC Vestsjaelland	W 3-1	1608	1530	39.9%	35.3%	24.7%	+6.2	14
2013-09-27	FC Vestsjaelland	W 2-0	1550	1524	38.3%	36.2%	25.5%	+7.4	16
2013-09-27	@ Viborg	L 0-2	1524	1550	25.5%	36.2%	38.3%	-7.4	13
2013-09-28	FC Copenhagen	W 3-2	1561	1625	25.9%	36.6%	37.5%	+4.5	12
2013-09-28	@ Brondby	L 2-3	1625	1561	37.5%	36.6%	25.9%	-4.5	10
2013-09-29	Aarhus GF	D 0-0	1585	1575	35.7%	37.3%	26.9%	-0.2	15
2013-09-29	@ Aalborg	D 0-0	1575	1585	26.9%	37.3%	35.7%	+0.2	14
2013-09-29	Sonderjyske	W 4-1	1614	1562	42.9%	33.5%	23.6%	+8.3	17
2013-09-29	@ Esbjerg	L 1-4	1562	1614	23.6%	33.5%	42.9%	-8.3	11
2013-09-29	Midtjylland	D 1-1	1562	1629	25.6%	36.4%	38.0%	+0.3	11
2013-09-29	@ Odense	D 1-1	1629	1562	38.0%	36.4%	25.6%	-0.3	22
2013-09-30	Randers	W 1-0	1578	1553	38.1%	36.3%	25.6%	+3.9	8
2013-09-30	@ Nordsjaelland	L 0-1	1553	1578	25.6%	36.3%	38.1%	-3.9	12
2013-10-05	Aarhus GF	D 2-2	1549	1575	30.1%	38.3%	31.6%	+0.0	13
2013-10-05	@ Randers	D 2-2	1575	1549	31.6%	38.3%	30.1%	-0.0	15
2013-10-06	Viborg	W 3-1	1585	1557	38.6%	36.1%	25.3%	+6.3	18
2013-10-06	@ Aalborg	L 1-3	1557	1585	25.3%	36.1%	38.6%	-6.3	16
2013-10-06	Odense	L 1-3	1622	1562	44.3%	32.5%	23.2%	-9.1	17
2013-10-06	@ Esbjerg	W 3-1	1562	1622	23.2%	32.5%	44.3%	+9.1	14
2013-10-06	Sonderjyske	W 2-1	1620	1554	45.5%	31.6%	22.8%	+3.2	13
2013-10-06	@ FC Copenhagen	L 1-2	1554	1620	22.8%	31.6%	45.5%	-3.2	11
2013-10-06	Brondby	D 1-1	1581	1566	36.5%	37.0%	26.5%	-0.2	9
2013-10-06	@ Nordsjaelland	D 1-1	1566	1581	26.5%	37.0%	36.5%	+0.2	13
2013-10-07	FC Vestsjaelland	D 2-2	1628	1517	54.3%	24.6%	21.1%	-0.6	23
2013-10-07	@ Midtjylland	D 2-2	1517	1628	21.1%	24.6%	54.3%	+0.6	14
2013-10-18	Nordsjaelland	L 0-1	1575	1581	33.1%	38.1%	28.8%	-4.7	15
2013-10-18	@ Aarhus GF	W 1-0	1581	1575	28.8%	38.1%	33.1%	+4.7	12
2013-10-19	Randers	D 1-1	1628	1549	48.0%	29.8%	22.2%	-0.6	24
2013-10-19	@ Midtjylland	D 1-1	1549	1628	22.2%	29.8%	48.0%	+0.6	14
2013-10-20	Viborg	D 0-0	1566	1551	36.5%	37.0%	26.5%	-0.3	14
2013-10-20	@ Brondby	D 0-0	1551	1566	26.5%	37.0%	36.5%	+0.3	17
2013-10-20	Aalborg	W 3-0	1623	1592	39.3%	35.7%	25.0%	+10.5	16
2013-10-20	@ FC Copenhagen	L 0-3	1592	1623	25.0%	35.7%	39.3%	-10.5	18
2013-10-20	Esbjerg	W 2-1	1517	1613	23.5%	33.3%	43.2%	+5.2	17
2013-10-20	@ FC Vestsjaelland	L 1-2	1613	1517	43.2%	33.3%	23.5%	-5.2	17
2013-10-21	Odense	L 1-5	1551	1572	30.9%	38.3%	30.8%	-13.5	11
2013-10-21	@ Sonderjyske	W 5-1	1572	1551	30.8%	38.3%	30.9%	+13.5	17
2013-10-25	FC Vestsjaelland	W 4-1	1551	1522	38.8%	36.0%	25.2%	+8.9	20
2013-10-25	@ Viborg	L 1-4	1522	1551	25.2%	36.0%	38.8%	-8.9	17
2013-10-26	Midtjylland	W 2-1	1586	1627	28.2%	37.9%	33.9%	+4.5	15
2013-10-26	@ Nordsjaelland	L 1-2	1627	1586	33.9%	37.9%	28.2%	-4.5	24
2013-10-27	Sonderjyske	W 2-0	1581	1537	41.4%	34.4%	24.1%	+6.9	21
2013-10-27	@ Aalborg	L 0-2	1537	1581	24.1%	34.4%	41.4%	-6.9	11
2013-10-27	Brondby	D 0-0	1585	1566	37.1%	36.8%	26.1%	-0.3	18
2013-10-27	@ Odense	D 0-0	1566	1585	26.1%	36.8%	37.1%	+0.3	15
2013-10-27	FC Copenhagen	D 1-1	1549	1634	24.2%	34.6%	41.2%	+0.4	15
2013-10-27	@ Randers	D 1-1	1634	1549	41.2%	34.6%	24.2%	-0.4	17
2013-10-28	Aarhus GF	L 0-2	1608	1570	40.3%	35.1%	24.6%	-9.9	17
2013-10-28	@ Esbjerg	W 2-0	1570	1608	24.6%	35.1%	40.3%	+9.9	18
2013-11-01	Randers	L 1-3	1530	1550	31.1%	38.3%	30.6%	-7.4	11
2013-11-01	@ Sonderjyske	W 3-1	1550	1530	30.6%	38.3%	31.1%	+7.4	18
2013-11-02	Odense	W 1-0	1588	1585	34.6%	37.7%	27.7%	+4.2	24
2013-11-02	@ Aalborg	L 0-1	1585	1588	27.7%	37.7%	34.6%	-4.2	18
2013-11-02	Nordsjaelland	W 4-0	1633	1590	41.3%	34.5%	24.2%	+13.2	20
2013-11-02	@ FC Copenhagen	L 0-4	1590	1633	24.2%	34.5%	41.3%	-13.2	15
2013-11-03	Viborg	W 2-1	1580	1560	37.3%	36.7%	26.0%	+3.8	21
2013-11-03	@ Aarhus GF	L 1-2	1560	1580	26.0%	36.7%	37.3%	-3.8	20
2013-11-03	Esbjerg	W 3-0	1623	1598	38.1%	36.3%	25.6%	+10.7	27
2013-11-03	@ Midtjylland	L 0-3	1598	1623	25.6%	36.3%	38.1%	-10.7	17
2013-11-04	Brondby	L 0-2	1513	1566	26.9%	37.3%	35.7%	-7.7	17
2013-11-04	@ FC Vestsjaelland	W 2-0	1566	1513	35.7%	37.3%	26.9%	+7.7	18
2013-11-08	Midtjylland	L 2-3	1556	1633	24.8%	35.4%	39.8%	-3.4	20
2013-11-08	@ Viborg	W 3-2	1633	1556	39.8%	35.4%	24.8%	+3.4	30
2013-11-09	Sonderjyske	W 3-0	1577	1523	43.3%	33.2%	23.5%	+9.7	18
2013-11-09	@ Nordsjaelland	L 0-3	1523	1577	23.5%	33.2%	43.3%	-9.7	11
2013-11-10	Aarhus GF	W 3-0	1574	1584	32.5%	38.2%	29.3%	+12.0	21
2013-11-10	@ Brondby	L 0-3	1584	1574	29.3%	38.2%	32.5%	-12.0	21
2013-11-10	FC Copenhagen	D 1-1	1587	1647	26.3%	36.9%	36.8%	+0.2	18
2013-11-10	@ Esbjerg	D 1-1	1647	1587	36.8%	36.9%	26.3%	-0.3	21
2013-11-10	FC Vestsjaelland	L 1-3	1580	1506	47.1%	30.4%	22.4%	-9.4	18
2013-11-10	@ Odense	W 3-1	1506	1580	22.4%	30.4%	47.1%	+9.3	20
2013-11-11	Aalborg	L 1-4	1557	1592	29.0%	38.1%	32.9%	-10.0	18
2013-11-11	@ Randers	W 4-1	1592	1557	32.9%	38.1%	29.0%	+10.0	27
2013-11-22	Esbjerg	W 1-0	1513	1588	25.0%	35.6%	39.4%	+5.2	14
2013-11-22	@ Sonderjyske	L 0-1	1588	1513	39.4%	35.6%	25.0%	-5.2	18
2013-11-23	Odense	D 1-1	1547	1571	30.4%	38.3%	31.3%	+0.0	19
2013-11-23	@ Randers	D 1-1	1571	1547	31.3%	38.3%	30.4%	-0.0	19
2013-11-24	FC Vestsjaelland	D 2-2	1572	1515	43.8%	32.9%	23.3%	-0.4	22
2013-11-24	@ Aarhus GF	D 2-2	1515	1572	23.3%	32.9%	43.8%	+0.4	21
2013-11-24	Viborg	W 4-1	1646	1553	50.7%	27.6%	21.7%	+7.1	24
2013-11-24	@ FC Copenhagen	L 1-4	1553	1646	21.7%	27.6%	50.7%	-7.1	20
2013-11-24	Brondby	L 0-1	1637	1586	42.7%	33.6%	23.7%	-5.4	30
2013-11-24	@ Midtjylland	W 1-0	1586	1637	23.7%	33.6%	42.7%	+5.4	24
2013-11-25	Nordsjaelland	D 1-1	1602	1587	36.5%	37.0%	26.5%	-0.2	28
2013-11-25	@ Aalborg	D 1-1	1587	1602	26.5%	37.0%	36.5%	+0.2	19
2013-11-29	Midtjylland	L 0-1	1515	1631	22.5%	30.6%	47.0%	-3.3	21
2013-11-29	@ FC Vestsjaelland	W 1-0	1631	1515	47.0%	30.6%	22.5%	+3.3	33
2013-11-30	Sonderjyske	D 2-2	1546	1518	38.6%	36.1%	25.4%	-0.2	21
2013-11-30	@ Viborg	D 2-2	1518	1546	25.4%	36.1%	38.6%	+0.2	15
2013-12-01	FC Copenhagen	L 1-3	1591	1654	26.0%	36.7%	37.3%	-6.5	24
2013-12-01	@ Brondby	W 3-1	1654	1591	37.3%	36.7%	26.0%	+6.5	27
2013-12-01	Randers	D 1-1	1587	1547	40.7%	34.9%	24.4%	-0.4	20
2013-12-01	@ Nordsjaelland	D 1-1	1547	1587	24.4%	34.9%	40.7%	+0.4	20
2013-12-01	Aarhus GF	W 4-1	1571	1572	33.9%	37.9%	28.2%	+9.8	22
2013-12-01	@ Odense	L 1-4	1572	1571	28.2%	37.9%	33.9%	-9.8	22
2013-12-02	Aalborg	D 2-2	1582	1602	31.1%	38.3%	30.6%	-0.0	19
2013-12-02	@ Esbjerg	D 2-2	1602	1582	30.6%	38.3%	31.1%	+0.0	29
2013-12-06	Odense	W 2-0	1587	1581	35.0%	37.6%	27.5%	+7.8	23
2013-12-06	@ Nordsjaelland	L 0-2	1581	1587	27.5%	37.6%	35.0%	-7.9	22
2013-12-07	FC Vestsjaelland	W 1-0	1660	1512	61.3%	18.8%	20.0%	+2.5	30
2013-12-07	@ FC Copenhagen	L 0-1	1512	1660	20.0%	18.8%	61.3%	-2.5	21
2013-12-08	Aarhus GF	W 3-0	1635	1562	46.8%	30.7%	22.5%	+9.1	36
2013-12-08	@ Midtjylland	L 0-3	1562	1635	22.5%	30.7%	46.8%	-9.1	22
2013-12-08	Esbjerg	W 1-0	1548	1582	29.0%	38.1%	32.9%	+4.7	23
2013-12-08	@ Randers	L 0-1	1582	1548	32.9%	38.1%	29.0%	-4.7	19
2013-12-08	Brondby	D 1-1	1519	1585	25.7%	36.4%	38.0%	+0.3	16
2013-12-08	@ Sonderjyske	D 1-1	1585	1519	38.0%	36.4%	25.7%	-0.3	25
2013-12-09	Viborg	W 5-0	1602	1546	43.7%	33.0%	23.4%	+15.5	32
2013-12-09	@ Aalborg	L 0-5	1546	1602	23.4%	33.0%	43.7%	-15.5	21
2014-02-21	Sonderjyske	L 0-4	1510	1519	32.6%	38.1%	29.2%	-16.7	21
2014-02-21	@ FC Vestsjaelland	W 4-0	1519	1510	29.2%	38.1%	32.6%	+16.7	19
2014-02-22	Midtjylland	W 2-1	1573	1644	25.3%	36.0%	38.7%	+4.9	25
2014-02-22	@ Odense	L 1-2	1644	1573	38.7%	36.0%	25.3%	-4.9	36
2014-02-23	FC Copenhagen	D 1-1	1553	1662	22.8%	31.5%	45.8%	+0.6	23
2014-02-23	@ Aarhus GF	D 1-1	1662	1553	45.8%	31.5%	22.8%	-0.6	31
2014-02-23	Aalborg	D 2-2	1585	1618	29.2%	38.1%	32.6%	+0.1	26
2014-02-23	@ Brondby	D 2-2	1618	1585	32.6%	38.1%	29.2%	-0.1	33
2014-02-23	Randers	D 1-1	1530	1552	30.7%	38.3%	31.0%	+0.0	22
2014-02-23	@ Viborg	D 1-1	1552	1530	31.0%	38.3%	30.7%	+0.0	24
2014-02-24	Nordsjaelland	W 2-1	1578	1595	31.5%	38.3%	30.3%	+4.2	22
2014-02-24	@ Esbjerg	L 1-2	1595	1578	30.3%	38.3%	31.5%	-4.2	23
2014-02-28	Viborg	W 2-0	1590	1530	44.4%	32.5%	23.1%	+6.5	26
2014-02-28	@ Nordsjaelland	L 0-2	1530	1590	23.1%	32.5%	44.4%	-6.6	22
2014-03-01	Aarhus GF	L 1-2	1536	1553	31.3%	38.3%	30.4%	-4.3	19
2014-03-01	@ Sonderjyske	W 2-1	1553	1536	30.4%	38.3%	31.3%	+4.3	26
2014-03-02	FC Vestsjaelland	D 0-0	1617	1493	56.8%	22.5%	20.7%	-1.0	34
2014-03-02	@ Aalborg	D 0-0	1493	1617	20.7%	22.5%	56.8%	+1.0	22
2014-03-02	Odense	W 1-0	1582	1578	34.7%	37.7%	27.7%	+4.2	25
2014-03-02	@ Esbjerg	L 0-1	1578	1582	27.7%	37.7%	34.7%	-4.2	25
2014-03-02	Midtjylland	L 1-5	1662	1639	37.8%	36.5%	25.8%	-15.2	31
2014-03-02	@ FC Copenhagen	W 5-1	1639	1662	25.8%	36.5%	37.8%	+15.1	39
2014-03-02	Brondby	L 0-1	1552	1585	29.3%	38.2%	32.5%	-4.4	24
2014-03-02	@ Randers	W 1-0	1585	1552	32.5%	38.2%	29.3%	+4.4	29
2014-03-07	Randers	D 1-1	1494	1548	26.8%	37.3%	35.9%	+0.2	23
2014-03-07	@ FC Vestsjaelland	D 1-1	1548	1494	35.9%	37.3%	26.8%	-0.2	25
2014-03-08	Aalborg	L 2-5	1558	1616	26.3%	37.0%	36.7%	-8.1	26
2014-03-08	@ Aarhus GF	W 5-2	1616	1558	36.7%	37.0%	26.3%	+8.0	37
2014-03-09	Nordsjaelland	W 4-1	1589	1597	32.8%	38.1%	29.1%	+10.0	32
2014-03-09	@ Brondby	L 1-4	1597	1589	29.1%	38.1%	32.8%	-10.0	26
2014-03-09	FC Copenhagen	L 0-1	1574	1647	25.1%	35.8%	39.1%	-3.8	25
2014-03-09	@ Odense	W 1-0	1647	1574	39.1%	35.8%	25.1%	+3.8	34
2014-03-09	Esbjerg	L 1-3	1524	1586	26.0%	36.7%	37.3%	-6.5	22
2014-03-09	@ Viborg	W 3-1	1586	1524	37.3%	36.7%	26.0%	+6.5	28
2014-03-10	Sonderjyske	W 2-0	1654	1531	56.4%	22.8%	20.7%	+5.2	42
2014-03-10	@ Midtjylland	L 0-2	1531	1654	20.7%	22.8%	56.4%	-5.2	19
2014-03-14	FC Copenhagen	D 0-0	1526	1651	22.1%	29.3%	48.6%	+0.8	20
2014-03-14	@ Sonderjyske	D 0-0	1651	1526	48.6%	29.3%	22.1%	-0.8	35
2014-03-15	FC Vestsjaelland	L 1-2	1587	1494	50.6%	27.7%	21.7%	-5.6	26
2014-03-15	@ Nordsjaelland	W 2-1	1494	1587	21.7%	27.7%	50.6%	+5.6	26
2014-03-16	Midtjylland	W 1-0	1624	1659	29.0%	38.1%	32.9%	+4.7	40
2014-03-16	@ Aalborg	L 0-1	1659	1624	32.9%	38.1%	29.0%	-4.7	42
2014-03-16	Brondby	D 0-0	1593	1599	33.0%	38.1%	28.9%	-0.1	29
2014-03-16	@ Esbjerg	D 0-0	1599	1593	28.9%	38.1%	33.0%	+0.1	33
2014-03-16	Viborg	D 1-1	1570	1517	43.0%	33.4%	23.6%	-0.5	26
2014-03-16	@ Odense	D 1-1	1517	1570	23.6%	33.4%	43.0%	+0.5	23
2014-03-17	Aarhus GF	L 1-3	1548	1550	33.7%	37.9%	28.3%	-7.8	25
2014-03-17	@ Randers	W 3-1	1550	1548	28.3%	37.9%	33.7%	+7.8	29
2014-03-21	Viborg	L 0-1	1500	1518	31.3%	38.3%	30.4%	-4.6	26
2014-03-21	@ FC Vestsjaelland	W 1-0	1518	1500	30.4%	38.3%	31.3%	+4.6	26
2014-03-22	Nordsjaelland	L 0-1	1655	1581	46.9%	30.6%	22.5%	-5.7	42
2014-03-22	@ Midtjylland	W 1-0	1581	1655	22.5%	30.6%	46.9%	+5.7	29
2014-03-23	Odense	L 1-2	1599	1569	38.9%	35.9%	25.2%	-4.9	33
2014-03-23	@ Brondby	W 2-1	1569	1599	25.2%	35.9%	38.9%	+4.9	29
2014-03-23	Randers	D 1-1	1650	1540	53.9%	24.9%	21.1%	-0.8	36
2014-03-23	@ FC Copenhagen	D 1-1	1540	1650	21.1%	24.9%	53.9%	+0.8	26
2014-03-23	Aalborg	W 3-2	1527	1629	23.1%	32.5%	44.4%	+5.0	23
2014-03-23	@ Sonderjyske	L 2-3	1629	1527	44.4%	32.5%	23.1%	-5.0	40
2014-03-24	Esbjerg	L 0-3	1557	1592	29.0%	38.1%	32.9%	-11.9	29
2014-03-24	@ Aarhus GF	W 3-0	1592	1557	32.9%	38.1%	29.0%	+11.9	32
2014-03-28	Sonderjyske	D 2-2	1574	1532	41.2%	34.6%	24.2%	-0.3	30
2014-03-28	@ Odense	D 2-2	1532	1574	24.2%	34.6%	41.2%	+0.3	24
2014-03-29	FC Vestsjaelland	D 0-0	1604	1495	53.8%	25.1%	21.2%	-0.9	33
2014-03-29	@ Esbjerg	D 0-0	1495	1604	21.2%	25.1%	53.8%	+0.9	27
2014-03-30	FC Copenhagen	W 2-1	1624	1649	30.3%	38.3%	31.4%	+4.3	43
2014-03-30	@ Aalborg	L 1-2	1649	1624	31.4%	38.3%	30.3%	-4.3	36
2014-03-30	Midtjylland	L 0-3	1541	1649	22.8%	31.7%	45.5%	-9.3	26
2014-03-30	@ Randers	W 3-0	1649	1541	45.5%	31.7%	22.8%	+9.3	45
2014-03-30	Brondby	L 0-1	1522	1594	25.1%	35.9%	39.0%	-3.9	26
2014-03-30	@ Viborg	W 1-0	1594	1522	39.0%	35.9%	25.1%	+3.8	36
2014-03-31	Aarhus GF	W 1-0	1587	1546	41.0%	34.7%	24.3%	+3.7	32
2014-03-31	@ Nordsjaelland	L 0-1	1546	1587	24.3%	34.7%	41.0%	-3.7	29
2014-04-04	Randers	L 0-1	1542	1531	35.7%	37.4%	27.0%	-4.9	29
2014-04-04	@ Aarhus GF	W 1-0	1531	1542	27.0%	37.4%	35.7%	+4.9	29
2014-04-05	Aalborg	L 2-3	1658	1628	38.9%	35.9%	25.2%	-4.6	45
2014-04-05	@ Midtjylland	W 3-2	1628	1658	25.2%	35.9%	38.9%	+4.6	46
2014-04-06	Esbjerg	W 1-0	1598	1603	33.2%	38.0%	28.7%	+4.3	39
2014-04-06	@ Brondby	L 0-1	1603	1598	28.7%	38.0%	33.2%	-4.3	33
2014-04-06	Sonderjyske	W 2-0	1645	1532	54.4%	24.5%	21.1%	+5.4	39
2014-04-06	@ FC Copenhagen	L 0-2	1532	1645	21.1%	24.5%	54.4%	-5.4	24
2014-04-06	Odense	D 2-2	1518	1574	26.6%	37.2%	36.2%	+0.2	27
2014-04-06	@ Viborg	D 2-2	1574	1518	36.2%	37.2%	26.6%	-0.2	31
2014-04-07	Nordsjaelland	D 0-0	1496	1591	23.6%	33.5%	43.0%	+0.5	28
2014-04-07	@ FC Vestsjaelland	D 0-0	1591	1496	43.0%	33.5%	23.6%	-0.5	33
2014-04-11	FC Vestsjaelland	D 1-1	1527	1497	39.0%	35.9%	25.1%	-0.3	25
2014-04-11	@ Sonderjyske	D 1-1	1497	1527	25.1%	35.9%	39.0%	+0.3	29
2014-04-12	Odense	L 0-2	1654	1574	48.1%	29.7%	22.2%	-10.9	45
2014-04-12	@ Midtjylland	W 2-0	1574	1654	22.2%	29.7%	48.1%	+10.9	34
2014-04-13	Brondby	W 2-0	1633	1602	39.1%	35.8%	25.1%	+7.2	49
2014-04-13	@ Aalborg	L 0-2	1602	1633	25.1%	35.8%	39.1%	-7.2	39
2014-04-13	Aarhus GF	W 1-0	1650	1537	54.6%	24.4%	21.0%	+2.9	42
2014-04-13	@ FC Copenhagen	L 0-1	1537	1650	21.0%	24.4%	54.6%	-2.9	29
2014-04-13	Viborg	W 3-1	1536	1518	36.9%	36.9%	26.2%	+6.5	32
2014-04-13	@ Randers	L 1-3	1518	1536	26.2%	36.9%	36.9%	-6.5	27
2014-04-14	Esbjerg	L 0-1	1590	1599	32.7%	38.1%	29.2%	-4.7	33
2014-04-14	@ Nordsjaelland	W 1-0	1599	1590	29.2%	38.1%	32.7%	+4.7	36
2014-04-16	Aalborg	L 0-2	1512	1640	22.0%	28.7%	49.3%	-6.0	27
2014-04-16	@ Viborg	W 2-0	1640	1512	49.3%	28.7%	22.0%	+6.0	52
2014-04-17	Randers	L 0-3	1604	1543	44.5%	32.4%	23.1%	-15.2	36
2014-04-17	@ Esbjerg	W 3-0	1543	1604	23.1%	32.4%	44.5%	+15.2	35
2014-04-17	Nordsjaelland	L 0-1	1585	1586	33.9%	37.9%	28.2%	-4.8	34
2014-04-17	@ Odense	W 1-0	1586	1585	28.2%	37.9%	33.9%	+4.8	36
2014-04-17	FC Copenhagen	L 0-1	1497	1653	21.0%	24.3%	54.7%	-2.8	29
2014-04-17	@ FC Vestsjaelland	W 1-0	1653	1497	54.7%	24.3%	21.0%	+2.8	45
2014-04-18	Midtjylland	L 0-4	1534	1643	22.8%	31.6%	45.6%	-12.2	29
2014-04-18	@ Aarhus GF	W 4-0	1643	1534	45.6%	31.6%	22.8%	+12.2	48
2014-04-18	Sonderjyske	W 3-1	1595	1526	46.0%	31.3%	22.7%	+5.5	42
2014-04-18	@ Brondby	L 1-3	1526	1595	22.7%	31.3%	46.0%	-5.5	25
2014-04-20	Randers	L 1-2	1646	1558	49.7%	28.4%	21.9%	-5.5	52
2014-04-20	@ Aalborg	W 2-1	1558	1646	21.9%	28.4%	49.7%	+5.6	38
2014-04-20	Odense	W 1-0	1494	1580	24.1%	34.5%	41.4%	+5.3	32
2014-04-20	@ FC Vestsjaelland	L 0-1	1580	1494	41.4%	34.5%	24.1%	-5.4	34
2014-04-21	Brondby	L 1-2	1522	1601	24.6%	35.2%	40.1%	-3.5	29
2014-04-21	@ Aarhus GF	W 2-1	1601	1522	40.1%	35.2%	24.6%	+3.6	45
2014-04-21	Esbjerg	D 2-2	1656	1589	45.7%	31.5%	22.8%	-0.4	46
2014-04-21	@ FC Copenhagen	D 2-2	1589	1656	22.8%	31.5%	45.7%	+0.4	37
2014-04-21	Viborg	W 5-2	1655	1506	61.5%	18.6%	19.9%	+4.9	51
2014-04-21	@ Midtjylland	L 2-5	1506	1655	19.9%	18.6%	61.5%	-4.9	27
2014-04-21	Nordsjaelland	W 3-1	1521	1590	25.4%	36.1%	38.5%	+8.4	28
2014-04-21	@ Sonderjyske	L 1-3	1590	1521	38.5%	36.1%	25.4%	-8.4	36
2014-04-25	Sonderjyske	D 1-1	1564	1529	39.7%	35.5%	24.8%	-0.4	39
2014-04-25	@ Randers	D 1-1	1529	1564	24.8%	35.5%	39.7%	+0.4	29
2014-04-26	Aalborg	L 2-3	1575	1641	25.7%	36.4%	38.0%	-3.5	34
2014-04-26	@ Odense	W 3-2	1641	1575	38.0%	36.4%	25.7%	+3.5	55
2014-04-27	FC Vestsjaelland	D 2-2	1604	1500	52.9%	25.8%	21.3%	-0.6	46
2014-04-27	@ Brondby	D 2-2	1500	1604	21.3%	25.8%	52.9%	+0.6	33
2014-04-27	FC Copenhagen	W 1-0	1582	1655	25.1%	35.8%	39.2%	+5.2	39
2014-04-27	@ Nordsjaelland	L 0-1	1655	1582	39.2%	35.8%	25.1%	-5.2	46
2014-04-27	Aarhus GF	L 0-3	1501	1518	31.4%	38.3%	30.3%	-12.5	27
2014-04-27	@ Viborg	W 3-0	1518	1501	30.3%	38.3%	31.4%	+12.5	32
2014-04-28	Midtjylland	D 0-0	1589	1660	25.3%	36.0%	38.7%	+0.4	38
2014-04-28	@ Esbjerg	D 0-0	1660	1589	38.7%	36.0%	25.3%	-0.4	52
2014-05-02	Nordsjaelland	L 0-1	1563	1587	30.5%	38.3%	31.2%	-4.5	39
2014-05-02	@ Randers	W 1-0	1587	1563	31.2%	38.3%	30.5%	+4.5	42
2014-05-03	Esbjerg	L 0-2	1644	1589	43.4%	33.1%	23.4%	-10.3	55
2014-05-03	@ Aalborg	W 2-0	1589	1644	23.4%	33.1%	43.4%	+10.3	41
2014-05-04	Brondby	D 1-1	1650	1604	41.9%	34.2%	23.9%	-0.5	47
2014-05-04	@ FC Copenhagen	D 1-1	1604	1650	23.9%	34.2%	41.9%	+0.4	47
2014-05-04	FC Vestsjaelland	W 3-1	1659	1500	63.4%	17.0%	19.6%	+3.8	55
2014-05-04	@ Midtjylland	L 1-3	1500	1659	19.6%	17.0%	63.4%	-3.9	33
2014-05-04	Viborg	W 1-0	1530	1489	40.9%	34.8%	24.3%	+3.7	32
2014-05-04	@ Sonderjyske	L 0-1	1489	1530	24.3%	34.8%	40.9%	-3.7	27
2014-05-05	Odense	L 0-1	1531	1571	28.3%	37.9%	33.7%	-4.3	32
2014-05-05	@ Aarhus GF	W 1-0	1571	1531	33.7%	37.9%	28.3%	+4.3	37
2014-05-07	Sonderjyske	W 2-1	1600	1533	45.5%	31.6%	22.8%	+3.2	44
2014-05-07	@ Esbjerg	L 1-2	1533	1600	22.8%	31.6%	45.5%	-3.2	32
2014-05-07	Aalborg	L 2-4	1592	1634	28.1%	37.9%	34.1%	-6.2	42
2014-05-07	@ Nordsjaelland	W 4-2	1634	1592	34.1%	37.9%	28.1%	+6.2	58
2014-05-08	Midtjylland	W 3-1	1604	1663	26.3%	36.9%	36.8%	+8.2	50
2014-05-08	@ Brondby	L 1-3	1663	1604	36.8%	36.9%	26.3%	-8.2	55
2014-05-08	Randers	W 2-1	1575	1559	36.7%	37.0%	26.4%	+3.8	40
2014-05-08	@ Odense	L 1-2	1559	1575	26.4%	37.0%	36.7%	-3.8	39
2014-05-08	Aarhus GF	W 2-1	1496	1527	29.6%	38.2%	32.2%	+4.4	36
2014-05-08	@ FC Vestsjaelland	L 1-2	1527	1496	32.2%	38.2%	29.6%	-4.4	32
2014-05-08	FC Copenhagen	L 0-2	1485	1650	20.8%	22.8%	56.4%	-5.2	27
2014-05-08	@ Viborg	W 2-0	1650	1485	56.4%	22.8%	20.8%	+5.2	50
2014-05-11	Sonderjyske	L 0-3	1522	1530	32.8%	38.1%	29.1%	-12.8	32
2014-05-11	@ Aarhus GF	W 3-0	1530	1522	29.1%	38.1%	32.8%	+12.8	35
2014-05-11	Randers	D 1-1	1612	1555	43.9%	32.8%	23.3%	-0.5	51
2014-05-11	@ Brondby	D 1-1	1555	1612	23.3%	32.8%	43.9%	+0.5	40
2014-05-11	FC Copenhagen	L 2-3	1655	1655	34.1%	37.9%	28.1%	-4.3	55
2014-05-11	@ Midtjylland	W 3-2	1655	1655	28.1%	37.9%	34.1%	+4.3	53
2014-05-11	Esbjerg	L 1-2	1579	1603	30.5%	38.3%	31.2%	-4.2	40
2014-05-11	@ Odense	W 2-1	1603	1579	31.2%	38.3%	30.5%	+4.2	47
2014-05-11	Aalborg	D 0-0	1501	1640	21.6%	27.0%	51.5%	+0.8	37
2014-05-11	@ FC Vestsjaelland	D 0-0	1640	1501	51.5%	27.0%	21.6%	-0.9	59
2014-05-11	Nordsjaelland	L 1-3	1480	1585	23.0%	32.0%	45.0%	-5.6	27
2014-05-11	@ Viborg	W 3-1	1585	1480	45.0%	32.0%	23.0%	+5.6	45
2014-05-18	Aarhus GF	W 1-0	1639	1509	57.8%	21.6%	20.5%	+2.7	62
2014-05-18	@ Aalborg	L 0-1	1509	1639	20.5%	21.6%	57.8%	-2.7	32
2014-05-18	Viborg	D 0-0	1607	1474	58.4%	21.1%	20.4%	-1.1	48
2014-05-18	@ Esbjerg	D 0-0	1474	1607	20.4%	21.1%	58.4%	+1.1	28
2014-05-18	Odense	W 3-2	1659	1575	48.9%	29.0%	22.0%	+2.8	56
2014-05-18	@ FC Copenhagen	L 2-3	1575	1659	22.0%	29.0%	48.9%	-2.9	40
2014-05-18	Brondby	D 2-2	1591	1612	30.9%	38.3%	30.8%	+0.0	46
2014-05-18	@ Nordsjaelland	D 2-2	1612	1591	30.8%	38.3%	30.9%	+0.0	52
2014-05-18	FC Vestsjaelland	D 1-1	1556	1502	43.3%	33.3%	23.5%	-0.5	41
2014-05-18	@ Randers	D 1-1	1502	1556	23.5%	33.3%	43.3%	+0.5	38
2014-05-18	Midtjylland	W 3-1	1543	1651	22.9%	31.7%	45.4%	+9.2	38
2014-05-18	@ Sonderjyske	L 1-3	1651	1543	45.4%	31.7%	22.9%	-9.2	55

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	2014-03-15	21.72%	FC Vestsjaelland	1494	2	@ Nordsjaelland	1587	1
2	2014-04-20	21.88%	Randers	1558	2	@ Aalborg	1646	1
3	2014-04-12	22.22%	Odense	1574	2	@ Midtjylland	1654	0
4	2013-09-01	22.23%	FC Vestsjaelland	1516	2	@ Nordsjaelland	1595	1
5	2013-11-10	22.43%	FC Vestsjaelland	1506	3	@ Odense	1580	1
6	2014-03-22	22.50%	Nordsjaelland	1581	1	@ Midtjylland	1655	0
7	2014-05-18	22.86%	@ Sonderjyske	1543	3	Midtjylland	1651	1
8	2013-08-04	23.00%	Randers	1560	3	@ FC Copenhagen	1623	1
9	2014-04-17	23.10%	Randers	1543	3	@ Esbjerg	1604	0
10	2014-03-23	23.14%	@ Sonderjyske	1527	3	Aalborg	1629	2
11	2013-10-06	23.16%	Odense	1562	3	@ Esbjerg	1622	1
12	2014-05-03	23.43%	Esbjerg	1589	2	@ Aalborg	1644	0
13	2013-10-20	23.50%	@ FC Vestsjaelland	1517	2	Esbjerg	1613	1
14	2013-11-24	23.67%	Brondby	1586	1	@ Midtjylland	1637	0
15	2013-09-15	24.06%	Viborg	1544	1	@ Aarhus GF	1589	0
16	2014-04-20	24.14%	@ FC Vestsjaelland	1494	1	Odense	1580	0
17	2013-08-18	24.22%	Viborg	1530	3	@ Sonderjyske	1572	0
18	2013-10-28	24.56%	Aarhus GF	1570	2	@ Esbjerg	1608	0
19	2013-08-05	24.67%	@ FC Vestsjaelland	1509	2	Aalborg	1588	1
20	2013-11-22	24.96%	@ Sonderjyske	1513	1	Esbjerg	1588	0
21	2014-04-27	25.05%	@ Nordsjaelland	1582	1	FC Copenhagen	1655	0
22	2013-09-22	25.12%	Brondby	1553	3	@ Aarhus GF	1583	1
23	2014-03-23	25.17%	Odense	1569	2	@ Brondby	1599	1
24	2014-04-05	25.17%	Aalborg	1628	3	@ Midtjylland	1658	2
25	2013-08-25	25.22%	@ Viborg	1545	3	Esbjerg	1616	1

Biggest Elo Changes

The 25 games that moved the Elo needle the most. Elo Δ is the magnitude of the rating swing; both teams move by the same amount per game (one up, one down). The winning side is shown first. An asterisk (*) after the date marks a playoff game.

#	Date	Elo Δ	Winning Team				Losing Team				Tie %
#	Date	Elo Δ	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2014-02-21	16.70	Sonderjyske	4	1519	29.24%	@ FC Vestsjaelland	0	1510	32.61%
2	2013-07-22	16.50	@ Esbjerg	4	1589	29.81%	Nordsjaelland	0	1617	31.95%
3	2013-12-09	15.54	@ Aalborg	5	1602	43.68%	Viborg	0	1546	23.35%
4	2014-04-17	15.22	Randers	3	1543	23.10%	@ Esbjerg	0	1604	44.53%
5	2014-03-02	15.15	Midtjylland	5	1639	25.75%	@ FC Copenhagen	1	1662	37.78%
6	2013-08-18	14.59	Viborg	3	1530	24.22%	@ Sonderjyske	0	1572	41.15%
7	2013-10-21	13.47	Odense	5	1572	30.82%	@ Sonderjyske	1	1551	30.89%
8	2013-11-02	13.20	@ FC Copenhagen	4	1633	41.28%	Nordsjaelland	0	1590	24.18%
9	2014-05-11	12.83	Sonderjyske	3	1530	29.08%	@ Aarhus GF	0	1522	32.80%
10	2014-04-27	12.50	Aarhus GF	3	1518	30.32%	@ Viborg	0	1501	31.41%
11	2014-04-18	12.16	Midtjylland	4	1643	45.57%	@ Aarhus GF	0	1534	22.82%
12	2013-11-10	11.97	@ Brondby	3	1574	32.48%	Aarhus GF	0	1584	29.35%
13	2014-03-24	11.86	Esbjerg	3	1592	32.94%	@ Aarhus GF	0	1557	28.97%
14	2013-08-10	11.71	@ Esbjerg	5	1609	37.99%	Aarhus GF	1	1585	25.64%
15	2014-04-12	10.92	Odense	2	1574	22.22%	@ Midtjylland	0	1654	48.09%
16	2013-11-03	10.74	@ Midtjylland	3	1623	38.06%	Esbjerg	0	1598	25.60%
17	2013-10-20	10.50	@ FC Copenhagen	3	1623	39.30%	Aalborg	0	1592	25.00%
18	2014-05-03	10.34	Esbjerg	2	1589	23.43%	@ Aalborg	0	1644	43.44%
19	2014-03-09	10.03	@ Brondby	4	1589	32.80%	Nordsjaelland	1	1597	29.08%
20	2013-11-11	10.00	Aalborg	4	1592	32.93%	@ Randers	1	1557	28.97%
21	2013-10-28	9.94	Aarhus GF	2	1570	24.56%	@ Esbjerg	0	1608	40.32%
22	2013-12-01	9.81	@ Odense	4	1571	33.94%	Aarhus GF	1	1572	28.18%
23	2013-11-09	9.72	@ Nordsjaelland	3	1577	43.32%	Sonderjyske	0	1523	23.47%
24	2013-09-02	9.40	Sonderjyske	2	1551	26.47%	@ Randers	0	1567	36.49%
25	2013-11-10	9.36	FC Vestsjaelland	3	1506	22.43%	@ Odense	1	1580	47.14%