2012-13 Superliga Season

198 games · 100,000 simulations

Final

Champion

FC Copenhagen

65 points

Relegated

No relegation

Biggest Overachiever

Randers

15.55 points above expected

52 points · 36.45 expected points

Biggest Disappointment

Horsens

8.83 points below expected

34 points · 42.83 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	FC Copenhagen	33	18	11	4	65	62	32	+30	61.2	+3.79
2	Nordsjaelland	33	17	9	7	60	60	37	+23	56.3	+3.72
3	Randers	33	15	7	11	52	36	42	-6	36.5	+15.55
4	Esbjerg	33	13	8	12	47	38	32	+6	41.3	+5.70
5	Aalborg	33	13	8	12	47	51	46	+5	45.5	+1.48
6	Midtjylland	33	12	11	10	47	51	47	+4	46.7	+0.29
7	Aarhus GF	33	11	8	14	41	50	49	+1	46.9	-5.89
8	Sonderjyske	33	12	5	16	41	53	57	-4	39.7	+1.33
9	Brondby	33	9	12	12	39	39	45	-6	38.9	+0.12
10	Odense	33	10	8	15	38	52	59	-7	43.9	-5.90
11	Horsens	33	8	10	15	34	31	49	-18	42.8	-8.83
12	Silkeborg	33	8	7	18	31	38	66	-28	37.2	-6.23

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	1727	65	61.21	+3.79	72.1%	32	49	56	61	66	73	87
Nordsjaelland	1692	60	56.28	+3.72	71.5%	30	44	51	56	61	68	85
Midtjylland	1638	47	46.71	+0.29	54.4%	19	35	42	47	52	59	73
Esbjerg	1622	47	41.30	+5.70	80.7%	15	30	36	41	46	53	68
Aarhus GF	1604	41	46.89	-5.89	23.4%	21	35	42	47	52	59	71
Aalborg	1598	47	45.52	+1.48	61.0%	18	34	41	45	50	57	70
Brondby	1585	39	38.88	+0.12	54.2%	16	27	34	39	44	51	68
Sonderjyske	1585	41	39.67	+1.33	60.9%	17	28	35	39	44	52	65
Odense	1576	38	43.90	-5.90	23.1%	21	32	39	44	49	56	73
Horsens	1557	34	42.83	-8.83	12.2%	18	31	38	43	48	54	71
Randers	1557	52	36.45	+15.55	98.7%	12	25	32	36	41	48	62
Silkeborg	1518	31	37.23	-6.23	21.3%	12	26	32	37	42	49	65

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	HOR	MID	NOR	ODE	RAN	SIL	SON
Aalborg	—	0-1-2 3.86	2-1-0 4.70	0-1-2 4.76	0-1-2 2.75	2-1-0 3.84	2-0-1 4.14	0-1-2 3.32	2-1-0 3.72	2-1-0 5.10	1-0-2 4.88	2-0-1 4.48
Aarhus GF	2-1-0 4.20	—	1-0-2 4.90	0-1-2 4.68	0-1-2 2.89	1-1-1 4.10	1-1-1 4.19	0-0-3 3.41	3-0-0 4.28	0-1-2 4.79	1-1-1 4.78	2-1-0 4.73
Brondby	0-1-2 3.38	2-0-1 3.23	—	0-2-1 3.98	0-2-1 2.32	2-1-0 3.86	0-3-0 3.34	1-1-1 2.52	1-0-2 3.81	1-0-2 4.00	2-1-0 4.19	0-1-2 4.15
Esbjerg	2-1-0 3.36	2-1-0 3.39	1-2-0 4.07	—	1-1-1 2.79	1-2-0 4.05	0-1-2 3.51	1-0-2 2.91	2-0-1 4.05	1-0-2 4.21	2-0-1 4.51	0-0-3 4.38
FC Copenhagen	2-1-0 5.48	2-1-0 5.36	1-2-0 6.09	1-1-1 5.45	—	1-1-1 5.48	2-1-0 5.45	3-0-0 4.56	1-2-0 5.31	2-0-1 5.98	2-0-1 6.47	1-2-0 5.52
Horsens	0-1-2 4.24	1-1-1 3.96	0-1-2 4.18	0-2-1 4.02	1-1-1 2.78	—	0-1-2 3.92	0-0-3 3.20	1-1-1 3.94	2-1-0 4.38	2-1-0 4.20	1-0-2 4.10
Midtjylland	1-0-2 3.94	1-1-1 3.88	0-3-0 4.75	2-1-0 4.58	0-1-2 2.78	2-1-0 4.15	—	1-1-1 3.35	1-1-1 4.12	2-0-1 5.13	0-2-1 5.17	2-0-1 4.85
Nordsjaelland	2-1-0 4.76	3-0-0 4.68	1-1-1 5.80	2-0-1 5.28	0-0-3 3.51	3-0-0 4.97	1-1-1 4.76	—	1-1-1 5.36	0-3-0 5.96	2-1-0 5.68	2-1-0 5.51
Odense	0-1-2 4.33	0-0-3 3.75	2-0-1 4.27	1-0-2 4.02	0-2-1 2.89	1-1-1 4.13	1-1-1 3.92	1-1-1 2.85	—	0-1-2 4.98	2-1-0 4.43	2-0-1 4.25
Randers	0-1-2 3.06	2-1-0 3.34	2-0-1 4.06	2-0-1 3.83	1-0-2 2.40	0-1-2 3.66	1-0-2 3.04	0-3-0 2.41	2-1-0 3.15	—	3-0-0 3.79	2-0-1 3.78
Silkeborg	2-0-1 3.23	1-1-1 3.34	0-1-2 3.86	1-0-2 3.55	1-0-2 2.05	0-1-2 3.86	1-2-0 2.99	0-1-2 2.61	0-1-2 3.65	0-0-3 4.29	—	2-0-1 3.77
Sonderjyske	1-0-2 3.61	0-1-2 3.36	2-1-0 3.90	3-0-0 3.67	0-2-1 2.76	2-0-1 3.99	1-0-2 3.26	0-1-2 2.74	1-0-2 3.81	1-0-2 4.31	1-0-2 4.30	—

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	6.06%	8.84%	5.30%	4.04%	2.02%	0.76%	27.02%
1	8.84%	11.11%	6.31%	2.78%	1.52%	0.51%	31.06%
2	5.30%	6.31%	8.08%	3.03%	1.01%	0.51%	24.24%
3	4.04%	2.78%	3.03%	1.01%	0.25%	—	11.11%
4	2.02%	1.52%	1.01%	0.25%	—	—	4.80%
5+	0.76%	0.51%	0.51%	—	—	—	1.77%
Total	27.02%	31.06%	24.24%	11.11%	4.80%	1.77%	100%

Summary Statistics

Mean scored	1.42
Mean allowed	1.42
StdDev scored	1.25
StdDev allowed	1.25
Mean total goals/game	2.83
Correlation (home vs away score)	-0.110
Sample size (games)	198

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	12.12%	3.03%	9.09%	3.03%	—	30.30%
1	6.06%	12.12%	3.03%	3.03%	—	—	24.24%
2	3.03%	6.06%	9.09%	3.03%	—	—	21.21%
3	3.03%	3.03%	3.03%	—	—	—	9.09%
4	9.09%	3.03%	—	3.03%	—	—	15.15%
5+	—	—	—	—	—	—	—
Total	24.24%	36.36%	18.18%	18.18%	3.03%	—	100%

Aalborg — Summary Statistics

Mean scored	1.55
Mean allowed	1.39
StdDev scored	1.42
StdDev allowed	1.14
Mean total goals/game	2.94
Correlation (scored vs allowed)	-0.291
Games played	33

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

Aarhus GF — Summary Statistics

Mean scored	1.52
Mean allowed	1.48
StdDev scored	1.37
StdDev allowed	1.12
Mean total goals/game	3.00
Correlation (scored vs allowed)	-0.086
Games played	33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	12.12%	3.03%	9.09%	—	—	30.30%
1	6.06%	18.18%	3.03%	6.06%	—	—	33.33%
2	3.03%	9.09%	12.12%	3.03%	—	—	27.27%
3	3.03%	—	3.03%	—	—	—	6.06%
4	3.03%	—	—	—	—	—	3.03%
5+	—	—	—	—	—	—	—
Total	21.21%	39.39%	21.21%	18.18%	—	—	100%

Brondby — Summary Statistics

Mean scored	1.18
Mean allowed	1.36
StdDev scored	1.04
StdDev allowed	1.03
Mean total goals/game	2.55
Correlation (scored vs allowed)	-0.151
Games played	33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	15.15%	12.12%	—	6.06%	—	—	33.33%
1	21.21%	3.03%	12.12%	3.03%	—	—	39.39%
2	6.06%	3.03%	6.06%	3.03%	—	—	18.18%
3	3.03%	—	—	—	—	—	3.03%
4	3.03%	—	—	—	—	—	3.03%
5+	—	—	3.03%	—	—	—	3.03%
Total	48.48%	18.18%	21.21%	12.12%	—	—	100%

Esbjerg — Summary Statistics

Mean scored	1.15
Mean allowed	0.97
StdDev scored	1.30
StdDev allowed	1.10
Mean total goals/game	2.12
Correlation (scored vs allowed)	0.069
Games played	33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	9.09%	3.03%	—	—	—	18.18%
1	3.03%	18.18%	—	—	—	—	21.21%
2	6.06%	15.15%	9.09%	—	—	—	30.30%
3	6.06%	3.03%	9.09%	—	—	—	18.18%
4	3.03%	3.03%	3.03%	—	—	—	9.09%
5+	3.03%	—	—	—	—	—	3.03%
Total	27.27%	48.48%	24.24%	—	—	—	100%

FC Copenhagen — Summary Statistics

Mean scored	1.88
Mean allowed	0.97
StdDev scored	1.34
StdDev allowed	0.73
Mean total goals/game	2.85
Correlation (scored vs allowed)	0.028
Games played	33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	12.12%	9.09%	15.15%	—	3.03%	—	39.39%
1	9.09%	6.06%	3.03%	3.03%	6.06%	—	27.27%
2	15.15%	—	12.12%	—	3.03%	3.03%	33.33%
3	—	—	—	—	—	—	—
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	36.36%	15.15%	30.30%	3.03%	12.12%	3.03%	100%

Horsens — Summary Statistics

Mean scored	0.94
Mean allowed	1.48
StdDev scored	0.86
StdDev allowed	1.48
Mean total goals/game	2.42
Correlation (scored vs allowed)	0.073
Games played	33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	—	—	3.03%	—	—	6.06%
1	12.12%	24.24%	9.09%	9.09%	—	—	54.55%
2	6.06%	3.03%	6.06%	6.06%	3.03%	—	24.24%
3	3.03%	6.06%	3.03%	—	—	—	12.12%
4	—	—	—	—	—	—	—
5+	—	—	3.03%	—	—	—	3.03%
Total	24.24%	33.33%	21.21%	18.18%	3.03%	—	100%

Midtjylland — Summary Statistics

Mean scored	1.55
Mean allowed	1.42
StdDev scored	1.00
StdDev allowed	1.15
Mean total goals/game	2.97
Correlation (scored vs allowed)	0.064
Games played	33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.06%	3.03%	—	3.03%	3.03%	—	15.15%
1	15.15%	12.12%	3.03%	3.03%	3.03%	—	36.36%
2	6.06%	3.03%	9.09%	3.03%	—	—	21.21%
3	9.09%	3.03%	—	—	—	—	12.12%
4	3.03%	6.06%	3.03%	—	—	—	12.12%
5+	—	3.03%	—	—	—	—	3.03%
Total	39.39%	30.30%	15.15%	9.09%	6.06%	—	100%

Nordsjaelland — Summary Statistics

Mean scored	1.82
Mean allowed	1.12
StdDev scored	1.45
StdDev allowed	1.22
Mean total goals/game	2.94
Correlation (scored vs allowed)	-0.164
Games played	33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.03%	6.06%	3.03%	3.03%	3.03%	—	18.18%
1	6.06%	9.09%	9.09%	—	6.06%	—	30.30%
2	6.06%	6.06%	9.09%	6.06%	3.03%	3.03%	33.33%
3	9.09%	—	—	3.03%	3.03%	—	15.15%
4	—	—	—	—	—	—	—
5+	3.03%	—	—	—	—	—	3.03%
Total	27.27%	21.21%	21.21%	12.12%	15.15%	3.03%	100%

Odense — Summary Statistics

Mean scored	1.58
Mean allowed	1.79
StdDev scored	1.15
StdDev allowed	1.60
Mean total goals/game	3.36
Correlation (scored vs allowed)	-0.119
Games played	33

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

Randers — Summary Statistics

Mean scored	1.09
Mean allowed	1.27
StdDev scored	0.95
StdDev allowed	1.44
Mean total goals/game	2.36
Correlation (scored vs allowed)	-0.042
Games played	33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	18.18%	9.09%	3.03%	3.03%	6.06%	39.39%
1	3.03%	9.09%	9.09%	3.03%	—	3.03%	27.27%
2	3.03%	3.03%	6.06%	—	—	—	12.12%
3	—	6.06%	9.09%	6.06%	—	—	21.21%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	6.06%	36.36%	33.33%	12.12%	3.03%	9.09%	100%

Silkeborg — Summary Statistics

Mean scored	1.15
Mean allowed	2.00
StdDev scored	1.18
StdDev allowed	1.39
Mean total goals/game	3.15
Correlation (scored vs allowed)	-0.115
Games played	33

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	3.03%	15.15%	3.03%	3.03%	3.03%	27.27%
1	6.06%	6.06%	15.15%	—	3.03%	—	30.30%
2	—	6.06%	9.09%	3.03%	—	—	18.18%
3	3.03%	9.09%	—	—	—	—	12.12%
4	—	3.03%	3.03%	—	—	—	6.06%
5+	3.03%	3.03%	—	—	—	—	6.06%
Total	12.12%	30.30%	42.42%	6.06%	6.06%	3.03%	100%

Sonderjyske — Summary Statistics

Mean scored	1.61
Mean allowed	1.73
StdDev scored	1.56
StdDev allowed	1.15
Mean total goals/game	3.33
Correlation (scored vs allowed)	-0.461
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	Randers	52	36.5	+15.55
2	Esbjerg	47	41.3	+5.70
3	FC Copenhagen	65	61.2	+3.79
4	Nordsjaelland	60	56.3	+3.72
5	Aalborg	47	45.5	+1.48

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Horsens	34	42.8	-8.83
2	Silkeborg	31	37.2	-6.23
3	Odense	38	43.9	-5.90
4	Aarhus GF	41	46.9	-5.89
5	Brondby	39	38.9	+0.12

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	Aalborg	5	Aug 12 – Sep 16	1 in 235
2	FC Copenhagen	9	Nov 4 – Mar 15	1 in 209
3	Esbjerg	4	Apr 26 – May 16	1 in 73
4	Randers	4	Dec 8 – Mar 17	1 in 58
5	Sonderjyske	3	Apr 9 – Apr 21	1 in 36

Longest Losing Streaks

#	Team	Games	Dates	Probability
1	Odense	6	Apr 14 – May 16	1 in 609
2	Silkeborg	5	Jul 20 – Aug 18	1 in 248
3	Horsens	5	Nov 18 – Mar 3	1 in 206
4	Aarhus GF	4	Mar 29 – Apr 12	1 in 88
5	Sonderjyske	4	Aug 20 – Sep 15	1 in 76

Longest Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Randers	8	Sep 22 – Nov 19	1 in 192
2	Horsens	9	Sep 2 – Nov 9	1 in 45
3	Brondby	6	Apr 21 – May 20	1 in 41
4	FC Copenhagen	13	Jul 15 – Oct 21	1 in 32
5	Aarhus GF	8	Aug 27 – Oct 28	1 in 18

Longest Winless Streaks

#	Team	Games	Dates	Probability
1	FC Copenhagen	6	Apr 21 – May 20	1 in 227
2	Brondby	12	Aug 5 – Nov 4	1 in 59
3	Odense	8	Apr 7 – May 20	1 in 33
4	Midtjylland	6	Sep 17 – Oct 28	1 in 25
5	Aalborg	7	Dec 3 – Apr 4	1 in 24

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
FC Copenhagen	61.04%	22.65%	8.49%	3.83%	2.04%	0.89%	0.55%	0.24%	0.16%	0.07%	0.02%	0.02%
Nordsjaelland	27.14%	35.47%	16.29%	8.46%	4.68%	3.08%	2.34%	1.12%	0.74%	0.39%	0.24%	0.05%
Randers	0.08%	0.64%	1.79%	2.82%	3.91%	5.86%	7.55%	8.70%	11.47%	14.53%	18.64%	24.01%
Esbjerg	0.55%	2.82%	6.14%	8.14%	8.86%	10.32%	11.54%	11.63%	11.43%	10.66%	9.63%	8.28%
Aalborg	2.01%	7.33%	12.62%	13.74%	12.79%	11.69%	10.45%	9.28%	7.17%	5.97%	4.18%	2.77%
Midtjylland	2.85%	9.35%	15.40%	14.23%	13.30%	11.37%	9.27%	7.62%	6.53%	4.64%	3.43%	2.01%
Aarhus GF	3.13%	9.48%	14.79%	15.06%	13.25%	11.20%	8.72%	8.09%	6.09%	4.72%	3.38%	2.09%
Sonderjyske	0.23%	1.86%	4.03%	5.42%	7.57%	8.71%	9.75%	11.52%	12.48%	12.93%	13.22%	12.28%
Brondby	0.35%	1.24%	3.26%	4.95%	6.34%	8.31%	9.02%	10.93%	12.20%	14.05%	14.22%	15.13%
Odense	1.46%	5.00%	8.50%	10.99%	11.27%	11.89%	11.81%	10.57%	9.28%	8.23%	6.73%	4.27%
Horsens	0.94%	3.41%	7.07%	9.00%	11.29%	11.13%	11.42%	10.93%	10.58%	9.49%	8.36%	6.38%
Silkeborg	0.22%	0.75%	1.62%	3.36%	4.70%	5.55%	7.58%	9.37%	11.87%	14.32%	17.95%	22.71%

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	100%	<0.1%
Nordsjaelland	99.7%	0.3%
Midtjylland	94.6%	5.4%
Aarhus GF	94.5%	5.5%
Aalborg	93.0%	7.0%
Odense	89.0%	11.0%
Horsens	85.3%	14.7%
Esbjerg	82.1%	17.9%
Sonderjyske	74.5%	25.5%
Brondby	70.7%	29.3%
Silkeborg	59.3%	40.7%
Randers	57.4%	42.6%

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
2012-07-13	Aalborg	D 1-1	1608	1580	43.7%	30.2%	26.1%	-0.5	1
2012-07-13	@ Aarhus GF	D 1-1	1580	1608	26.1%	30.2%	43.7%	+0.5	1
2012-07-14	Randers	W 6-1	1592	1538	47.8%	28.2%	24.0%	+13.4	3
2012-07-14	@ Sonderjyske	L 1-6	1538	1592	24.0%	28.2%	47.8%	-13.3	0
2012-07-15	Odense	L 0-1	1584	1597	37.3%	32.1%	30.6%	-5.2	0
2012-07-15	@ Brondby	W 1-0	1597	1584	30.6%	32.1%	37.3%	+5.2	3
2012-07-15	Silkeborg	L 2-3	1584	1601	36.8%	32.2%	31.1%	-4.7	0
2012-07-15	@ Esbjerg	W 3-2	1601	1584	31.1%	32.2%	36.8%	+4.7	3
2012-07-15	Midtjylland	W 4-2	1671	1628	46.1%	29.1%	24.8%	+5.5	3
2012-07-15	@ FC Copenhagen	L 2-4	1628	1671	24.8%	29.1%	46.1%	-5.5	0
2012-07-16	Nordsjaelland	L 0-4	1621	1653	34.6%	32.4%	33.1%	-17.9	0
2012-07-16	@ Horsens	W 4-0	1653	1621	33.1%	32.4%	34.6%	+17.9	3
2012-07-20	Horsens	L 0-2	1606	1603	39.7%	31.6%	28.7%	-10.3	3
2012-07-20	@ Silkeborg	W 2-0	1603	1606	28.7%	31.6%	39.7%	+10.3	3
2012-07-21	Nordsjaelland	W 3-1	1622	1671	32.2%	32.3%	35.5%	+8.3	3
2012-07-21	@ Midtjylland	L 1-3	1671	1622	35.5%	32.3%	32.2%	-8.3	3
2012-07-22	Brondby	W 2-1	1580	1579	39.6%	31.6%	28.8%	+4.1	4
2012-07-22	@ Aalborg	L 1-2	1579	1580	28.8%	31.6%	39.6%	-4.1	0
2012-07-22	Randers	L 0-1	1603	1525	51.7%	26.0%	22.3%	-6.5	3
2012-07-22	@ Odense	W 1-0	1525	1603	22.3%	26.0%	51.7%	+6.5	3
2012-07-22	FC Copenhagen	D 1-1	1605	1677	29.3%	31.8%	38.9%	+0.2	4
2012-07-22	@ Sonderjyske	D 1-1	1677	1605	38.9%	31.8%	29.3%	-0.2	4
2012-07-23	Esbjerg	D 0-0	1607	1580	43.6%	30.2%	26.2%	-0.5	2
2012-07-23	@ Aarhus GF	D 0-0	1580	1607	26.2%	30.2%	43.6%	+0.5	1
2012-07-27	Midtjylland	D 2-2	1614	1631	36.8%	32.2%	31.1%	-0.1	4
2012-07-27	@ Horsens	D 2-2	1631	1614	31.1%	32.2%	36.8%	+0.1	4
2012-07-28	Sonderjyske	L 1-2	1580	1605	35.5%	32.3%	32.2%	-4.8	1
2012-07-28	@ Esbjerg	W 2-1	1605	1580	32.2%	32.3%	35.5%	+4.8	7
2012-07-28	Aalborg	W 3-0	1677	1584	53.9%	24.6%	21.5%	+8.7	7
2012-07-28	@ FC Copenhagen	L 0-3	1584	1677	21.5%	24.6%	53.9%	-8.7	4
2012-07-29	Odense	D 1-1	1663	1596	49.8%	27.1%	23.1%	-0.7	4
2012-07-29	@ Nordsjaelland	D 1-1	1596	1663	23.1%	27.1%	49.8%	+0.7	4
2012-07-29	Aarhus GF	W 2-1	1531	1607	28.9%	31.6%	39.5%	+5.2	6
2012-07-29	@ Randers	L 1-2	1607	1531	39.5%	31.6%	28.9%	-5.1	2
2012-07-30	Silkeborg	W 2-1	1574	1596	36.1%	32.2%	31.6%	+4.4	3
2012-07-30	@ Brondby	L 1-2	1596	1574	31.6%	32.2%	36.1%	-4.4	3
2012-08-03	Odense	L 0-1	1591	1597	38.5%	31.9%	29.7%	-5.4	3
2012-08-03	@ Silkeborg	W 1-0	1597	1591	29.7%	31.9%	38.5%	+5.4	7
2012-08-04	Nordsjaelland	D 1-1	1576	1662	27.7%	31.1%	41.2%	+0.4	5
2012-08-04	@ Aalborg	D 1-1	1662	1576	41.2%	31.1%	27.7%	-0.4	5
2012-08-04	FC Copenhagen	L 1-2	1575	1685	25.5%	29.7%	44.9%	-3.7	1
2012-08-04	@ Esbjerg	W 2-1	1685	1575	44.9%	29.7%	25.5%	+3.7	10
2012-08-05	Brondby	W 3-1	1602	1579	42.8%	30.5%	26.6%	+6.7	5
2012-08-05	@ Aarhus GF	L 1-3	1579	1602	26.6%	30.5%	42.8%	-6.7	3
2012-08-05	Randers	W 2-1	1631	1536	54.3%	24.3%	21.3%	+3.0	7
2012-08-05	@ Midtjylland	L 1-2	1536	1631	21.3%	24.3%	54.3%	-3.0	6
2012-08-06	Horsens	L 0-2	1610	1614	38.8%	31.8%	29.4%	-10.2	7
2012-08-06	@ Sonderjyske	W 2-0	1614	1610	29.4%	31.8%	38.8%	+10.2	7
2012-08-10	Midtjylland	W 2-1	1602	1634	34.6%	32.4%	33.0%	+4.6	10
2012-08-10	@ Odense	L 1-2	1634	1602	33.0%	32.4%	34.6%	-4.6	7
2012-08-11	Silkeborg	W 6-1	1662	1586	51.3%	26.2%	22.4%	+12.3	8
2012-08-11	@ Nordsjaelland	L 1-6	1586	1662	22.4%	26.2%	51.3%	-12.3	3
2012-08-12	Sonderjyske	L 0-1	1572	1600	35.1%	32.3%	32.5%	-5.0	3
2012-08-12	@ Brondby	W 1-0	1600	1572	32.5%	32.3%	35.1%	+5.1	10
2012-08-12	Aarhus GF	W 3-0	1689	1608	52.1%	25.8%	22.1%	+9.1	13
2012-08-12	@ FC Copenhagen	L 0-3	1608	1689	22.1%	25.8%	52.1%	-9.1	5
2012-08-12	Aalborg	L 1-4	1624	1576	46.8%	28.8%	24.4%	-14.1	7
2012-08-12	@ Horsens	W 4-1	1576	1624	24.4%	28.8%	46.8%	+14.1	8
2012-08-13	Esbjerg	W 1-0	1533	1572	33.6%	32.4%	34.0%	+4.9	9
2012-08-13	@ Randers	L 0-1	1572	1533	34.0%	32.4%	33.6%	-4.9	1
2012-08-17	Midtjylland	W 3-0	1590	1629	33.5%	32.4%	34.1%	+13.5	11
2012-08-17	@ Aalborg	L 0-3	1629	1590	34.1%	32.4%	33.5%	-13.5	7
2012-08-18	Brondby	D 1-1	1698	1567	60.2%	20.4%	19.4%	-1.1	14
2012-08-18	@ FC Copenhagen	D 1-1	1567	1698	19.4%	20.4%	60.2%	+1.1	4
2012-08-18	Randers	L 0-1	1574	1538	44.8%	29.7%	25.5%	-5.9	3
2012-08-18	@ Silkeborg	W 1-0	1538	1574	25.5%	29.7%	44.8%	+5.9	12
2012-08-19	Nordsjaelland	L 0-1	1599	1674	29.0%	31.6%	39.4%	-4.4	5
2012-08-19	@ Aarhus GF	W 1-0	1674	1599	39.4%	31.6%	29.0%	+4.4	11
2012-08-19	Horsens	D 0-0	1567	1610	33.0%	32.4%	34.7%	+0.0	2
2012-08-19	@ Esbjerg	D 0-0	1610	1567	34.7%	32.4%	33.0%	-0.0	8
2012-08-20	Odense	L 1-2	1605	1607	39.1%	31.7%	29.2%	-5.1	10
2012-08-20	@ Sonderjyske	W 2-1	1607	1605	29.2%	31.7%	39.1%	+5.1	13
2012-08-24	Sonderjyske	W 4-1	1678	1600	51.7%	26.0%	22.3%	+7.7	14
2012-08-24	@ Nordsjaelland	L 1-4	1600	1678	22.3%	26.0%	51.7%	-7.7	10
2012-08-25	FC Copenhagen	L 2-3	1544	1697	22.3%	26.0%	51.7%	-3.0	12
2012-08-25	@ Randers	W 3-2	1697	1544	51.7%	26.0%	22.3%	+3.0	17
2012-08-26	Esbjerg	D 1-1	1568	1567	39.6%	31.6%	28.8%	-0.3	5
2012-08-26	@ Brondby	D 1-1	1567	1568	28.8%	31.6%	39.6%	+0.3	3
2012-08-26	Silkeborg	D 1-1	1616	1568	46.8%	28.7%	24.4%	-0.6	8
2012-08-26	@ Midtjylland	D 1-1	1568	1616	24.4%	28.7%	46.8%	+0.6	4
2012-08-26	Aalborg	L 0-4	1612	1604	40.6%	31.3%	28.1%	-19.9	13
2012-08-26	@ Odense	W 4-0	1604	1612	28.1%	31.3%	40.6%	+19.9	14
2012-08-27	Aarhus GF	L 1-4	1610	1595	41.6%	31.0%	27.4%	-13.0	8
2012-08-27	@ Horsens	W 4-1	1595	1610	27.4%	31.0%	41.6%	+13.0	8
2012-08-31	Aalborg	L 0-4	1592	1624	34.7%	32.4%	33.0%	-17.9	10
2012-08-31	@ Sonderjyske	W 4-0	1624	1592	33.0%	32.4%	34.7%	+17.9	17
2012-09-01	Aarhus GF	L 0-4	1568	1608	33.5%	32.4%	34.2%	-17.5	4
2012-09-01	@ Silkeborg	W 4-0	1608	1568	34.2%	32.4%	33.5%	+17.5	11
2012-09-02	Esbjerg	W 1-0	1615	1567	46.8%	28.7%	24.4%	+3.7	11
2012-09-02	@ Midtjylland	L 0-1	1567	1615	24.4%	28.7%	46.8%	-3.7	3
2012-09-02	Brondby	D 0-0	1686	1568	58.2%	21.8%	20.0%	-1.2	15
2012-09-02	@ Nordsjaelland	D 0-0	1568	1686	20.0%	21.8%	58.2%	+1.2	6
2012-09-02	FC Copenhagen	D 2-2	1592	1700	25.7%	29.8%	44.5%	+0.4	14
2012-09-02	@ Odense	D 2-2	1700	1592	44.5%	29.8%	25.7%	-0.4	18
2012-09-02	Horsens	L 0-1	1541	1597	31.3%	32.2%	36.5%	-4.7	12
2012-09-02	@ Randers	W 1-0	1597	1541	36.5%	32.2%	31.3%	+4.7	11
2012-09-14	Odense	W 3-0	1563	1592	35.0%	32.4%	32.7%	+13.2	6
2012-09-14	@ Esbjerg	L 0-3	1592	1563	32.7%	32.4%	35.0%	-13.2	14
2012-09-15	Nordsjaelland	W 2-1	1699	1685	41.5%	31.0%	27.5%	+4.0	21
2012-09-15	@ FC Copenhagen	L 1-2	1685	1699	27.5%	31.0%	41.5%	-4.0	15
2012-09-15	Silkeborg	L 0-2	1574	1551	43.0%	30.5%	26.6%	-10.9	10
2012-09-15	@ Sonderjyske	W 2-0	1551	1574	26.6%	30.5%	43.0%	+10.9	7
2012-09-16	Randers	W 4-0	1641	1536	56.0%	23.2%	20.7%	+10.8	20
2012-09-16	@ Aalborg	L 0-4	1536	1641	20.7%	23.2%	56.0%	-10.8	12
2012-09-16	Horsens	D 2-2	1569	1601	34.5%	32.4%	33.1%	-0.0	7
2012-09-16	@ Brondby	D 2-2	1601	1569	33.1%	32.4%	34.5%	+0.0	12
2012-09-17	Midtjylland	W 3-2	1625	1619	40.3%	31.4%	28.3%	+3.8	14
2012-09-17	@ Aarhus GF	L 2-3	1619	1625	28.3%	31.4%	40.3%	-3.8	11
2012-09-21	Sonderjyske	D 2-2	1629	1564	49.6%	27.2%	23.1%	-0.5	15
2012-09-21	@ Aarhus GF	D 2-2	1564	1629	23.1%	27.2%	49.6%	+0.5	11
2012-09-22	Randers	D 1-1	1681	1526	64.1%	17.6%	18.2%	-1.3	16
2012-09-22	@ Nordsjaelland	D 1-1	1526	1681	18.2%	17.6%	64.1%	+1.3	13
2012-09-23	Silkeborg	W 5-0	1703	1562	62.0%	19.1%	18.9%	+11.4	24
2012-09-23	@ FC Copenhagen	L 0-5	1562	1703	18.9%	19.1%	62.0%	-11.4	7
2012-09-23	Odense	D 2-2	1601	1579	42.7%	30.6%	26.7%	-0.3	13
2012-09-23	@ Horsens	D 2-2	1579	1601	26.7%	30.6%	42.7%	+0.3	15
2012-09-23	Brondby	D 1-1	1615	1569	46.5%	28.9%	24.6%	-0.6	12
2012-09-23	@ Midtjylland	D 1-1	1569	1615	24.6%	28.9%	46.5%	+0.6	8
2012-09-24	Esbjerg	L 0-2	1652	1576	51.3%	26.3%	22.5%	-12.2	20
2012-09-24	@ Aalborg	W 2-0	1576	1652	22.5%	26.3%	51.3%	+12.2	9
2012-09-28	Esbjerg	W 3-0	1680	1589	53.8%	24.7%	21.5%	+8.7	19
2012-09-28	@ Nordsjaelland	L 0-3	1589	1680	21.5%	24.7%	53.8%	-8.7	9
2012-09-29	FC Copenhagen	D 1-1	1601	1715	25.1%	29.4%	45.5%	+0.6	14
2012-09-29	@ Horsens	D 1-1	1715	1601	45.5%	29.4%	25.1%	-0.5	25
2012-09-30	Aarhus GF	L 1-2	1580	1629	32.2%	32.3%	35.5%	-4.5	15
2012-09-30	@ Odense	W 2-1	1629	1580	35.5%	32.3%	32.2%	+4.5	18
2012-09-30	Brondby	W 3-2	1527	1570	33.0%	32.4%	34.6%	+4.5	16
2012-09-30	@ Randers	L 2-3	1570	1527	34.6%	32.4%	33.0%	-4.5	8
2012-09-30	Aalborg	W 2-1	1550	1640	27.4%	30.9%	41.7%	+5.3	10
2012-09-30	@ Silkeborg	L 1-2	1640	1550	41.7%	30.9%	27.4%	-5.3	20
2012-10-01	Sonderjyske	L 1-3	1614	1564	47.2%	28.6%	24.3%	-10.0	12
2012-10-01	@ Midtjylland	W 3-1	1564	1614	24.3%	28.6%	47.2%	+10.0	14
2012-10-05	Nordsjaelland	W 3-0	1575	1688	25.2%	29.4%	45.4%	+16.4	18
2012-10-05	@ Odense	L 0-3	1688	1575	45.4%	29.4%	25.2%	-16.4	19
2012-10-06	Aarhus GF	L 0-3	1574	1633	30.9%	32.1%	37.0%	-12.6	14
2012-10-06	@ Sonderjyske	W 3-0	1633	1574	37.0%	32.1%	30.9%	+12.6	21
2012-10-07	Aalborg	L 1-3	1565	1635	29.6%	31.8%	38.6%	-7.3	8
2012-10-07	@ Brondby	W 3-1	1635	1565	38.6%	31.8%	29.6%	+7.3	23
2012-10-07	FC Copenhagen	D 2-2	1580	1714	23.5%	27.7%	48.7%	+0.5	10
2012-10-07	@ Esbjerg	D 2-2	1714	1580	48.7%	27.7%	23.5%	-0.5	26
2012-10-07	Midtjylland	W 2-1	1531	1604	29.2%	31.7%	39.1%	+5.1	19
2012-10-07	@ Randers	L 1-2	1604	1531	39.1%	31.7%	29.2%	-5.1	12
2012-10-07	Horsens	D 1-1	1556	1602	32.6%	32.3%	35.1%	+0.1	11
2012-10-07	@ Silkeborg	D 1-1	1602	1556	35.1%	32.3%	32.6%	-0.1	15
2012-10-19	Silkeborg	W 3-0	1672	1556	57.9%	22.0%	20.1%	+7.9	22
2012-10-19	@ Nordsjaelland	L 0-3	1556	1672	20.1%	22.0%	57.9%	-7.9	11
2012-10-20	Sonderjyske	W 2-1	1642	1561	52.0%	25.8%	22.2%	+3.1	26
2012-10-20	@ Aalborg	L 1-2	1561	1642	22.2%	25.8%	52.0%	-3.1	14
2012-10-21	Brondby	W 1-0	1714	1558	64.2%	17.6%	18.2%	+2.4	29
2012-10-21	@ FC Copenhagen	L 0-1	1558	1714	18.2%	17.6%	64.2%	-2.4	8
2012-10-21	Esbjerg	D 0-0	1602	1580	42.6%	30.6%	26.8%	-0.5	16
2012-10-21	@ Horsens	D 0-0	1580	1602	26.8%	30.6%	42.6%	+0.5	11
2012-10-21	Odense	D 1-1	1599	1592	40.5%	31.3%	28.2%	-0.3	13
2012-10-21	@ Midtjylland	D 1-1	1592	1599	28.2%	31.3%	40.5%	+0.3	19
2012-10-22	Randers	D 1-1	1646	1537	56.7%	22.8%	20.5%	-1.0	22
2012-10-22	@ Aarhus GF	D 1-1	1537	1646	20.5%	22.8%	56.7%	+1.0	20
2012-10-26	Aalborg	W 1-0	1680	1645	44.7%	29.7%	25.5%	+3.9	25
2012-10-26	@ Nordsjaelland	L 0-1	1645	1680	25.5%	29.7%	44.7%	-3.9	26
2012-10-27	Randers	L 1-2	1548	1538	40.9%	31.2%	27.9%	-5.3	11
2012-10-27	@ Silkeborg	W 2-1	1538	1548	27.9%	31.2%	40.9%	+5.3	23
2012-10-28	Sonderjyske	L 1-2	1581	1558	42.8%	30.5%	26.7%	-5.4	11
2012-10-28	@ Esbjerg	W 2-1	1558	1581	26.7%	30.5%	42.8%	+5.4	17
2012-10-28	Brondby	D 1-1	1599	1556	46.1%	29.1%	24.8%	-0.6	14
2012-10-28	@ Midtjylland	D 1-1	1556	1599	24.8%	29.1%	46.1%	+0.6	9
2012-10-28	Aarhus GF	L 2-4	1592	1645	31.6%	32.2%	36.1%	-6.8	19
2012-10-28	@ Odense	W 4-2	1645	1592	36.1%	32.2%	31.6%	+6.9	25
2012-10-29	FC Copenhagen	W 1-0	1601	1716	25.0%	29.3%	45.7%	+6.0	19
2012-10-29	@ Horsens	L 0-1	1716	1601	45.7%	29.3%	25.0%	-6.0	29
2012-11-02	Silkeborg	W 1-0	1575	1542	44.4%	29.9%	25.7%	+3.9	14
2012-11-02	@ Esbjerg	L 0-1	1542	1575	25.7%	29.9%	44.4%	-3.9	11
2012-11-03	Nordsjaelland	L 1-2	1564	1684	24.6%	28.9%	46.5%	-3.5	17
2012-11-03	@ Sonderjyske	W 2-1	1684	1564	46.5%	28.9%	24.6%	+3.5	28
2012-11-04	FC Copenhagen	L 0-2	1652	1710	30.9%	32.1%	36.9%	-8.7	25
2012-11-04	@ Aarhus GF	W 2-0	1710	1652	36.9%	32.1%	30.9%	+8.7	32
2012-11-04	Odense	L 0-3	1556	1585	35.0%	32.4%	32.6%	-13.8	9
2012-11-04	@ Brondby	W 3-0	1585	1556	32.6%	32.4%	35.0%	+13.8	22
2012-11-04	Horsens	D 0-0	1543	1607	30.2%	32.0%	37.8%	+0.2	24
2012-11-04	@ Randers	D 0-0	1607	1543	37.8%	32.0%	30.2%	-0.2	20
2012-11-05	Midtjylland	L 1-3	1641	1598	46.0%	29.1%	24.9%	-9.9	26
2012-11-05	@ Aalborg	W 3-1	1598	1641	24.9%	29.1%	46.0%	+9.8	17
2012-11-09	Aarhus GF	W 2-0	1607	1643	34.0%	32.4%	33.7%	+9.2	23
2012-11-09	@ Horsens	L 0-2	1643	1607	33.7%	32.4%	34.0%	-9.2	25
2012-11-10	Randers	D 2-2	1687	1543	62.4%	18.9%	18.8%	-0.9	29
2012-11-10	@ Nordsjaelland	D 2-2	1543	1687	18.8%	18.9%	62.4%	+0.9	25
2012-11-11	Aalborg	W 4-0	1719	1631	53.2%	25.1%	21.7%	+11.5	35
2012-11-11	@ FC Copenhagen	L 0-4	1631	1719	21.7%	25.1%	53.2%	-11.5	26
2012-11-11	Sonderjyske	W 5-0	1599	1560	45.3%	29.5%	25.2%	+17.0	25
2012-11-11	@ Odense	L 0-5	1560	1599	25.2%	29.5%	45.3%	-17.0	17
2012-11-11	Brondby	L 1-2	1539	1542	38.7%	31.8%	29.5%	-5.1	11
2012-11-11	@ Silkeborg	W 2-1	1542	1539	29.5%	31.8%	38.7%	+5.1	12
2012-11-12	Esbjerg	D 0-0	1608	1579	43.8%	30.1%	26.1%	-0.5	18
2012-11-12	@ Midtjylland	D 0-0	1579	1608	26.1%	30.1%	43.8%	+0.5	15
2012-11-16	Nordsjaelland	L 0-2	1634	1687	31.7%	32.2%	36.1%	-8.9	25
2012-11-16	@ Aarhus GF	W 2-0	1687	1634	36.1%	32.2%	31.7%	+8.9	32
2012-11-17	Silkeborg	L 2-3	1543	1533	40.8%	31.2%	28.0%	-5.0	17
2012-11-17	@ Sonderjyske	W 3-2	1533	1543	28.0%	31.2%	40.8%	+5.0	14
2012-11-18	Horsens	W 2-0	1620	1616	39.9%	31.5%	28.6%	+8.2	29
2012-11-18	@ Aalborg	L 0-2	1616	1620	28.6%	31.5%	39.9%	-8.2	23
2012-11-18	Esbjerg	D 2-2	1547	1580	34.5%	32.4%	33.1%	-0.0	13
2012-11-18	@ Brondby	D 2-2	1580	1547	33.1%	32.4%	34.5%	+0.0	16
2012-11-18	Midtjylland	W 2-1	1730	1608	58.9%	21.3%	19.8%	+2.6	38
2012-11-18	@ FC Copenhagen	L 1-2	1608	1730	19.8%	21.3%	58.9%	-2.6	18
2012-11-19	Odense	W 3-2	1544	1616	29.3%	31.8%	39.0%	+4.8	28
2012-11-19	@ Randers	L 2-3	1616	1544	39.0%	31.8%	29.3%	-4.8	25
2012-11-23	Aalborg	L 0-1	1549	1628	28.5%	31.4%	40.1%	-4.3	28
2012-11-23	@ Randers	W 1-0	1628	1549	40.1%	31.4%	28.5%	+4.3	32
2012-11-24	Odense	L 0-2	1538	1611	29.2%	31.7%	39.1%	-8.3	14
2012-11-24	@ Silkeborg	W 2-0	1611	1538	39.1%	31.7%	29.2%	+8.3	28
2012-11-25	Horsens	W 2-0	1547	1608	30.7%	32.1%	37.2%	+9.9	16
2012-11-25	@ Brondby	L 0-2	1608	1547	37.2%	32.1%	30.7%	-9.9	23
2012-11-25	Nordsjaelland	W 1-0	1580	1695	25.0%	29.3%	45.7%	+6.0	19
2012-11-25	@ Esbjerg	L 0-1	1695	1580	45.7%	29.3%	25.0%	-6.0	32
2012-11-25	FC Copenhagen	L 1-2	1538	1733	19.9%	21.5%	58.5%	-2.7	17
2012-11-25	@ Sonderjyske	W 2-1	1733	1538	58.5%	21.5%	19.9%	+2.7	41
2012-11-26	Midtjylland	D 1-1	1625	1605	42.4%	30.7%	26.9%	-0.4	26
2012-11-26	@ Aarhus GF	D 1-1	1605	1625	26.9%	30.7%	42.4%	+0.4	19
2012-11-30	Sonderjyske	L 1-3	1598	1536	49.1%	27.5%	23.4%	-10.3	23
2012-11-30	@ Horsens	W 3-1	1536	1598	23.4%	27.5%	49.1%	+10.3	20
2012-12-01	Esbjerg	W 3-0	1619	1586	44.5%	29.8%	25.7%	+10.8	31
2012-12-01	@ Odense	L 0-3	1586	1619	25.7%	29.8%	44.5%	-10.8	19
2012-12-02	Randers	W 2-0	1736	1544	69.7%	13.8%	16.6%	+3.9	44
2012-12-02	@ FC Copenhagen	L 0-2	1544	1736	16.6%	13.8%	69.7%	-3.9	28
2012-12-02	Silkeborg	L 1-3	1605	1530	51.2%	26.3%	22.5%	-10.5	19
2012-12-02	@ Midtjylland	W 3-1	1530	1605	22.5%	26.3%	51.2%	+10.6	17
2012-12-02	Brondby	W 3-0	1689	1557	60.4%	20.2%	19.4%	+7.4	35
2012-12-02	@ Nordsjaelland	L 0-3	1557	1689	19.4%	20.2%	60.4%	-7.4	16
2012-12-03	Aarhus GF	L 0-3	1632	1624	40.5%	31.3%	28.1%	-15.2	32
2012-12-03	@ Aalborg	W 3-0	1624	1632	28.1%	31.3%	40.5%	+15.2	29
2012-12-07	Brondby	D 2-2	1546	1550	38.7%	31.8%	29.5%	-0.2	21
2012-12-07	@ Sonderjyske	D 2-2	1550	1546	29.5%	31.8%	38.7%	+0.2	17
2012-12-08	Esbjerg	W 2-1	1541	1575	34.2%	32.4%	33.5%	+4.6	31
2012-12-08	@ Randers	L 1-2	1575	1541	33.5%	32.4%	34.2%	-4.6	19
2012-12-09	Nordsjaelland	W 4-1	1740	1697	46.0%	29.1%	24.9%	+8.8	47
2012-12-09	@ FC Copenhagen	L 1-4	1697	1740	24.9%	29.1%	46.0%	-8.8	35
2012-12-09	Midtjylland	L 0-2	1588	1595	38.2%	31.9%	29.8%	-10.1	23
2012-12-09	@ Horsens	W 2-0	1595	1588	29.8%	31.9%	38.2%	+10.1	22
2012-12-10	Silkeborg	D 3-3	1640	1541	55.0%	23.9%	21.1%	-0.6	30
2012-12-10	@ Aarhus GF	D 3-3	1541	1640	21.1%	23.9%	55.0%	+0.6	18
2013-03-01	Aalborg	W 3-2	1541	1617	28.8%	31.6%	39.6%	+4.9	21
2013-03-01	@ Silkeborg	L 2-3	1617	1541	39.6%	31.6%	28.8%	-4.9	32
2013-03-02	Sonderjyske	W 1-0	1605	1546	48.6%	27.8%	23.6%	+3.6	25
2013-03-02	@ Midtjylland	L 0-1	1546	1605	23.6%	27.8%	48.6%	-3.6	21
2013-03-03	Randers	L 0-2	1550	1545	40.1%	31.4%	28.5%	-10.4	17
2013-03-03	@ Brondby	W 2-0	1545	1550	28.5%	31.4%	40.1%	+10.4	34
2013-03-03	Horsens	W 1-0	1688	1578	56.9%	22.7%	20.4%	+2.9	38
2013-03-03	@ Nordsjaelland	L 0-1	1578	1688	20.4%	22.7%	56.9%	-3.0	23
2013-03-03	FC Copenhagen	L 2-3	1630	1748	24.8%	29.1%	46.2%	-3.4	31
2013-03-03	@ Odense	W 3-2	1748	1630	46.2%	29.1%	24.8%	+3.4	50
2013-03-04	Aarhus GF	W 2-1	1571	1639	29.7%	31.9%	38.4%	+5.1	22
2013-03-04	@ Esbjerg	L 1-2	1639	1571	38.4%	31.9%	29.7%	-5.1	30
2013-03-06	Odense	D 2-2	1612	1627	37.1%	32.1%	30.8%	-0.1	33
2013-03-06	@ Aalborg	D 2-2	1627	1612	30.8%	32.1%	37.1%	+0.1	32
2013-03-08	Sonderjyske	W 2-0	1556	1542	41.4%	31.1%	27.6%	+7.9	37
2013-03-08	@ Randers	L 0-2	1542	1556	27.6%	31.1%	41.4%	-7.9	21
2013-03-09	Esbjerg	D 0-0	1612	1576	45.0%	29.6%	25.4%	-0.6	34
2013-03-09	@ Aalborg	D 0-0	1576	1612	25.4%	29.6%	45.0%	+0.6	23
2013-03-10	Brondby	L 0-3	1634	1540	54.3%	24.4%	21.3%	-18.3	30
2013-03-10	@ Aarhus GF	W 3-0	1540	1634	21.3%	24.4%	54.3%	+18.3	20
2013-03-10	Silkeborg	W 3-1	1752	1546	71.8%	12.3%	15.9%	+3.2	53
2013-03-10	@ FC Copenhagen	L 1-3	1546	1752	15.9%	12.3%	71.8%	-3.2	21
2013-03-10	Odense	W 2-0	1575	1627	31.8%	32.3%	36.0%	+9.7	26
2013-03-10	@ Horsens	L 0-2	1627	1575	36.0%	32.3%	31.8%	-9.7	32
2013-03-11	Nordsjaelland	D 1-1	1609	1691	28.1%	31.3%	40.6%	+0.3	26
2013-03-11	@ Midtjylland	D 1-1	1691	1609	40.6%	31.3%	28.1%	-0.3	39
2013-03-15	Horsens	W 2-1	1755	1584	66.5%	15.9%	17.5%	+2.2	56
2013-03-15	@ FC Copenhagen	L 1-2	1584	1755	17.5%	15.9%	66.5%	-2.2	26
2013-03-17	Odense	W 2-1	1616	1617	39.1%	31.7%	29.2%	+4.2	33
2013-03-17	@ Aarhus GF	L 1-2	1617	1616	29.2%	31.7%	39.1%	-4.2	32
2013-03-17	Midtjylland	D 1-1	1558	1609	31.9%	32.3%	35.8%	+0.1	21
2013-03-17	@ Brondby	D 1-1	1609	1558	35.8%	32.3%	31.9%	-0.1	27
2013-03-17	Silkeborg	W 1-0	1563	1543	42.5%	30.7%	26.9%	+4.1	40
2013-03-17	@ Randers	L 0-1	1543	1563	26.9%	30.7%	42.5%	-4.1	21
2013-03-28	Aalborg	D 2-2	1582	1612	34.9%	32.4%	32.7%	-0.0	27
2013-03-28	@ Horsens	D 2-2	1612	1582	32.7%	32.4%	34.9%	+0.0	35
2013-03-28	Randers	D 0-0	1613	1568	46.4%	28.9%	24.6%	-0.7	33
2013-03-28	@ Odense	D 0-0	1568	1613	24.6%	28.9%	46.4%	+0.7	41
2013-03-28	Sonderjyske	L 0-5	1539	1534	40.0%	31.5%	28.5%	-24.3	21
2013-03-28	@ Silkeborg	W 5-0	1534	1539	28.5%	31.5%	40.0%	+24.3	24
2013-03-29	Brondby	W 1-0	1576	1558	42.1%	30.8%	27.1%	+4.1	26
2013-03-29	@ Esbjerg	L 0-1	1558	1576	27.1%	30.8%	42.1%	-4.1	21
2013-03-29	FC Copenhagen	D 2-2	1609	1757	22.6%	26.4%	51.0%	+0.6	28
2013-03-29	@ Midtjylland	D 2-2	1757	1609	51.0%	26.4%	22.6%	-0.6	57
2013-03-29	Aarhus GF	W 4-2	1691	1620	50.5%	26.8%	22.8%	+5.0	42
2013-03-29	@ Nordsjaelland	L 2-4	1620	1691	22.8%	26.8%	50.5%	-5.0	33
2013-03-31	Horsens	W 2-0	1612	1582	44.0%	30.1%	25.9%	+7.5	36
2013-03-31	@ Odense	L 0-2	1582	1612	25.9%	30.1%	44.0%	-7.5	27
2013-03-31	Randers	L 0-2	1558	1568	37.8%	32.0%	30.2%	-10.0	24
2013-03-31	@ Sonderjyske	W 2-0	1568	1558	30.2%	32.0%	37.8%	+10.0	44
2013-04-01	Aarhus GF	W 3-2	1554	1615	30.6%	32.1%	37.3%	+4.7	24
2013-04-01	@ Brondby	L 2-3	1615	1554	37.3%	32.1%	30.6%	-4.7	33
2013-04-01	Aalborg	W 1-0	1580	1612	34.7%	32.4%	33.0%	+4.8	29
2013-04-01	@ Esbjerg	L 0-1	1612	1580	33.0%	32.4%	34.7%	-4.8	35
2013-04-01	Midtjylland	W 3-1	1696	1609	53.0%	25.2%	21.8%	+5.3	45
2013-04-01	@ Nordsjaelland	L 1-3	1609	1696	21.8%	25.2%	53.0%	-5.3	28
2013-04-01	FC Copenhagen	W 1-0	1515	1757	17.7%	16.3%	66.1%	+7.5	24
2013-04-01	@ Silkeborg	L 0-1	1757	1515	66.1%	16.3%	17.7%	-7.5	57
2013-04-04	Nordsjaelland	L 0-1	1607	1701	26.9%	30.7%	42.4%	-4.1	35
2013-04-04	@ Aalborg	W 1-0	1701	1607	42.4%	30.7%	26.9%	+4.1	48
2013-04-05	Esbjerg	L 0-1	1610	1585	43.2%	30.4%	26.4%	-5.8	33
2013-04-05	@ Aarhus GF	W 1-0	1585	1610	26.4%	30.4%	43.2%	+5.8	32
2013-04-06	Midtjylland	L 0-2	1548	1604	31.3%	32.2%	36.5%	-8.8	24
2013-04-06	@ Sonderjyske	W 2-0	1604	1548	36.5%	32.2%	31.3%	+8.8	31
2013-04-07	Odense	D 1-1	1749	1620	60.0%	20.6%	19.5%	-1.1	58
2013-04-07	@ FC Copenhagen	D 1-1	1620	1749	19.5%	20.6%	60.0%	+1.1	37
2013-04-07	Nordsjaelland	L 0-2	1575	1705	23.8%	28.1%	48.1%	-6.9	27
2013-04-07	@ Horsens	W 2-0	1705	1575	48.1%	28.1%	23.8%	+6.8	51
2013-04-07	Brondby	L 0-1	1578	1559	42.3%	30.7%	27.0%	-5.7	44
2013-04-07	@ Randers	W 1-0	1559	1578	27.0%	30.7%	42.3%	+5.7	27
2013-04-08	Silkeborg	W 1-0	1603	1522	52.0%	25.8%	22.1%	+3.3	38
2013-04-08	@ Aalborg	L 0-1	1522	1603	22.1%	25.8%	52.0%	-3.3	24
2013-04-09	Esbjerg	W 3-1	1540	1591	31.9%	32.3%	35.9%	+8.4	27
2013-04-09	@ Sonderjyske	L 1-3	1591	1540	35.9%	32.3%	31.9%	-8.4	32
2013-04-12	Aarhus GF	W 3-1	1519	1604	27.8%	31.2%	41.0%	+9.1	27
2013-04-12	@ Silkeborg	L 1-3	1604	1519	41.0%	31.2%	27.8%	-9.1	33
2013-04-13	Horsens	W 5-2	1613	1568	46.3%	29.0%	24.7%	+7.6	34
2013-04-13	@ Midtjylland	L 2-5	1568	1613	24.7%	29.0%	46.3%	-7.5	27
2013-04-14	Sonderjyske	L 0-3	1564	1548	41.9%	30.9%	27.3%	-15.5	27
2013-04-14	@ Brondby	W 3-0	1548	1564	27.3%	30.9%	41.9%	+15.5	30
2013-04-14	Randers	W 4-0	1583	1572	40.9%	31.2%	27.9%	+15.2	35
2013-04-14	@ Esbjerg	L 0-4	1572	1583	27.9%	31.2%	40.9%	-15.2	44
2013-04-14	Aalborg	L 3-4	1621	1606	41.6%	31.0%	27.4%	-4.9	37
2013-04-14	@ Odense	W 4-3	1606	1621	27.4%	31.0%	41.6%	+4.9	41
2013-04-15	FC Copenhagen	L 2-3	1712	1748	34.0%	32.4%	33.7%	-4.4	51
2013-04-15	@ Nordsjaelland	W 3-2	1748	1712	33.7%	32.4%	34.0%	+4.4	61
2013-04-20	Horsens	D 0-0	1595	1560	44.7%	29.7%	25.5%	-0.6	34
2013-04-20	@ Aarhus GF	D 0-0	1560	1595	25.5%	29.7%	44.7%	+0.6	28
2013-04-21	FC Copenhagen	D 1-1	1611	1752	23.0%	27.1%	49.9%	+0.7	42
2013-04-21	@ Aalborg	D 1-1	1752	1611	49.9%	27.1%	23.0%	-0.7	62
2013-04-21	Silkeborg	D 2-2	1549	1528	42.5%	30.6%	26.8%	-0.3	28
2013-04-21	@ Brondby	D 2-2	1528	1549	26.8%	30.6%	42.5%	+0.3	28
2013-04-21	Nordsjaelland	D 0-0	1557	1707	22.5%	26.3%	51.3%	+0.9	45
2013-04-21	@ Randers	D 0-0	1707	1557	51.3%	26.3%	22.5%	-0.9	52
2013-04-21	Odense	W 4-1	1564	1616	31.7%	32.3%	36.0%	+11.9	33
2013-04-21	@ Sonderjyske	L 1-4	1616	1564	36.0%	32.3%	31.7%	-11.9	37
2013-04-22	Midtjylland	L 0-1	1598	1620	35.9%	32.3%	31.8%	-5.1	35
2013-04-22	@ Esbjerg	W 1-0	1620	1598	31.8%	32.3%	35.9%	+5.1	37
2013-04-26	Esbjerg	L 0-1	1528	1593	30.2%	32.0%	37.8%	-4.5	28
2013-04-26	@ Silkeborg	W 1-0	1593	1528	37.8%	32.0%	30.2%	+4.5	38
2013-04-27	Sonderjyske	D 2-2	1707	1575	60.3%	20.3%	19.4%	-0.8	53
2013-04-27	@ Nordsjaelland	D 2-2	1575	1707	19.4%	20.3%	60.3%	+0.9	34
2013-04-28	Aarhus GF	D 0-0	1752	1595	64.4%	17.4%	18.2%	-1.4	63
2013-04-28	@ FC Copenhagen	D 0-0	1595	1752	18.2%	17.4%	64.4%	+1.4	35
2013-04-28	Randers	W 1-0	1561	1558	39.7%	31.6%	28.7%	+4.4	31
2013-04-28	@ Horsens	L 0-1	1558	1561	28.7%	31.6%	39.7%	-4.4	45
2013-04-28	Brondby	L 1-2	1604	1549	48.0%	28.1%	23.8%	-5.9	37
2013-04-28	@ Odense	W 2-1	1549	1604	23.8%	28.1%	48.0%	+5.9	31
2013-04-29	Aalborg	L 2-3	1626	1612	41.5%	31.0%	27.5%	-5.0	37
2013-04-29	@ Midtjylland	W 3-2	1612	1626	27.5%	31.0%	41.5%	+5.0	45
2013-05-03	Nordsjaelland	D 2-2	1524	1706	20.6%	22.9%	56.5%	+0.7	29
2013-05-03	@ Silkeborg	D 2-2	1706	1524	56.5%	22.9%	20.6%	-0.7	54
2013-05-04	Aalborg	W 1-0	1576	1617	33.4%	32.4%	34.3%	+5.0	37
2013-05-04	@ Sonderjyske	L 0-1	1617	1576	34.3%	32.4%	33.4%	-5.0	45
2013-05-05	FC Copenhagen	D 0-0	1554	1750	19.9%	21.4%	58.7%	+1.2	32
2013-05-05	@ Brondby	D 0-0	1750	1554	58.7%	21.4%	19.9%	-1.2	64
2013-05-05	Horsens	W 1-0	1597	1565	44.3%	29.9%	25.8%	+4.0	41
2013-05-05	@ Esbjerg	L 0-1	1565	1597	25.8%	29.9%	44.3%	-4.0	31
2013-05-05	Aarhus GF	W 1-0	1554	1596	33.1%	32.4%	34.5%	+5.0	48
2013-05-05	@ Randers	L 0-1	1596	1554	34.5%	32.4%	33.1%	-5.0	35
2013-05-06	Midtjylland	L 0-1	1598	1620	36.0%	32.3%	31.7%	-5.1	37
2013-05-06	@ Odense	W 1-0	1620	1598	31.7%	32.3%	36.0%	+5.1	40
2013-05-10	Odense	W 4-1	1705	1593	57.1%	22.5%	20.4%	+6.8	57
2013-05-10	@ Nordsjaelland	L 1-4	1593	1705	20.4%	22.5%	57.1%	-6.8	37
2013-05-11	Sonderjyske	W 2-1	1591	1581	40.8%	31.2%	27.9%	+4.0	38
2013-05-11	@ Aarhus GF	L 1-2	1581	1591	27.9%	31.2%	40.8%	-4.0	37
2013-05-12	Brondby	D 1-1	1612	1556	48.1%	28.1%	23.8%	-0.7	46
2013-05-12	@ Aalborg	D 1-1	1556	1612	23.8%	28.1%	48.1%	+0.7	33
2013-05-12	Esbjerg	L 0-2	1749	1601	62.9%	18.5%	18.6%	-13.8	64
2013-05-12	@ FC Copenhagen	W 2-0	1601	1749	18.6%	18.5%	62.9%	+13.8	44
2013-05-12	Randers	W 3-0	1626	1559	49.8%	27.1%	23.1%	+9.6	43
2013-05-12	@ Midtjylland	L 0-3	1559	1626	23.1%	27.1%	49.8%	-9.6	48
2013-05-13	Silkeborg	W 2-0	1561	1524	45.1%	29.6%	25.4%	+7.3	34
2013-05-13	@ Horsens	L 0-2	1524	1561	25.4%	29.6%	45.1%	-7.3	29
2013-05-16	Aalborg	W 3-0	1595	1611	36.9%	32.1%	30.9%	+12.7	41
2013-05-16	@ Aarhus GF	L 0-3	1611	1595	30.9%	32.1%	36.9%	-12.7	46
2013-05-16	Nordsjaelland	W 4-0	1556	1712	22.1%	25.7%	52.1%	+23.4	36
2013-05-16	@ Brondby	L 0-4	1712	1556	52.1%	25.7%	22.1%	-23.4	57
2013-05-16	Odense	W 6-2	1615	1586	43.7%	30.2%	26.1%	+10.1	47
2013-05-16	@ Esbjerg	L 2-6	1586	1615	26.1%	30.2%	43.7%	-10.1	37
2013-05-16	FC Copenhagen	W 1-0	1549	1735	20.4%	22.5%	57.1%	+6.9	51
2013-05-16	@ Randers	L 0-1	1735	1549	57.1%	22.5%	20.4%	-6.9	64
2013-05-16	Midtjylland	D 1-1	1517	1635	24.8%	29.1%	46.1%	+0.6	30
2013-05-16	@ Silkeborg	D 1-1	1635	1517	46.1%	29.1%	24.8%	-0.6	44
2013-05-16	Horsens	W 4-2	1577	1569	40.6%	31.3%	28.1%	+6.2	40
2013-05-16	@ Sonderjyske	L 2-4	1569	1577	28.1%	31.3%	40.6%	-6.2	34
2013-05-20	Randers	D 2-2	1598	1556	45.9%	29.2%	24.9%	-0.4	47
2013-05-20	@ Aalborg	D 2-2	1556	1598	24.9%	29.2%	45.9%	+0.4	52
2013-05-20	Sonderjyske	D 1-1	1728	1583	62.5%	18.8%	18.7%	-1.2	65
2013-05-20	@ FC Copenhagen	D 1-1	1583	1728	18.7%	18.8%	62.5%	+1.2	41
2013-05-20	Brondby	L 0-1	1562	1580	36.7%	32.2%	31.1%	-5.2	34
2013-05-20	@ Horsens	W 1-0	1580	1562	31.1%	32.2%	36.7%	+5.2	39
2013-05-20	Aarhus GF	W 3-2	1635	1608	43.5%	30.3%	26.2%	+3.6	47
2013-05-20	@ Midtjylland	L 2-3	1608	1635	26.2%	30.3%	43.5%	-3.6	41
2013-05-20	Esbjerg	W 1-0	1688	1625	49.3%	27.4%	23.3%	+3.5	60
2013-05-20	@ Nordsjaelland	L 0-1	1625	1688	23.3%	27.4%	49.3%	-3.5	47
2013-05-20	Silkeborg	D 3-3	1576	1518	48.5%	27.9%	23.6%	-0.4	38
2013-05-20	@ Odense	D 3-3	1518	1576	23.6%	27.9%	48.5%	+0.4	31

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	2013-04-01	17.67%	@ Silkeborg	1515	1	FC Copenhagen	1757	0
2	2013-05-12	18.60%	Esbjerg	1601	2	@ FC Copenhagen	1749	0
3	2013-05-16	20.39%	@ Randers	1549	1	FC Copenhagen	1735	0
4	2013-03-10	21.33%	Brondby	1540	3	@ Aarhus GF	1634	0
5	2013-05-16	22.12%	@ Brondby	1556	4	Nordsjaelland	1712	0
6	2012-07-22	22.30%	Randers	1525	1	@ Odense	1603	0
7	2012-09-24	22.46%	Esbjerg	1576	2	@ Aalborg	1652	0
8	2012-12-02	22.49%	Silkeborg	1530	3	@ Midtjylland	1605	1
9	2012-11-30	23.36%	Sonderjyske	1536	3	@ Horsens	1598	1
10	2013-04-28	23.85%	Brondby	1549	2	@ Odense	1604	1
11	2012-10-01	24.26%	Sonderjyske	1564	3	@ Midtjylland	1614	1
12	2012-08-12	24.45%	Aalborg	1576	4	@ Horsens	1624	1
13	2012-11-05	24.85%	Midtjylland	1598	3	@ Aalborg	1641	1
14	2012-11-25	25.00%	@ Esbjerg	1580	1	Nordsjaelland	1695	0
15	2012-10-29	25.03%	@ Horsens	1601	1	FC Copenhagen	1716	0
16	2012-10-05	25.18%	@ Odense	1575	3	Nordsjaelland	1688	0
17	2012-08-18	25.49%	Randers	1538	1	@ Silkeborg	1574	0
18	2013-04-05	26.44%	Esbjerg	1585	1	@ Aarhus GF	1610	0
19	2012-09-15	26.55%	Silkeborg	1551	2	@ Sonderjyske	1574	0
20	2012-10-28	26.66%	Sonderjyske	1558	2	@ Esbjerg	1581	1
21	2013-04-07	26.96%	Brondby	1559	1	@ Randers	1578	0
22	2013-04-14	27.26%	Sonderjyske	1548	3	@ Brondby	1564	0
23	2012-09-30	27.36%	@ Silkeborg	1550	2	Aalborg	1640	1
24	2013-04-14	27.40%	Aalborg	1606	4	@ Odense	1621	3
25	2012-08-27	27.42%	Aarhus GF	1595	4	@ Horsens	1610	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	2013-03-28	24.29	Sonderjyske	5	1534	28.50%	@ Silkeborg	0	1539	40.04%
2	2013-05-16	23.36	@ Brondby	4	1556	22.12%	Nordsjaelland	0	1712	52.14%
3	2012-08-26	19.89	Aalborg	4	1604	28.11%	@ Odense	0	1612	40.59%
4	2013-03-10	18.34	Brondby	3	1540	21.33%	@ Aarhus GF	0	1634	54.28%
5	2012-08-31	17.89	Aalborg	4	1624	32.97%	@ Sonderjyske	0	1592	34.67%
6	2012-07-16	17.86	Nordsjaelland	4	1653	33.07%	@ Horsens	0	1621	34.56%
7	2012-09-01	17.46	Aarhus GF	4	1608	34.18%	@ Silkeborg	0	1568	33.45%
8	2012-11-11	17.03	@ Odense	5	1599	45.32%	Sonderjyske	0	1560	25.21%
9	2012-10-05	16.37	@ Odense	3	1575	25.18%	Nordsjaelland	0	1688	45.38%
10	2013-04-14	15.53	Sonderjyske	3	1548	27.26%	@ Brondby	0	1564	41.85%
11	2013-04-14	15.21	@ Esbjerg	4	1583	40.88%	Randers	0	1572	27.91%
12	2012-12-03	15.21	Aarhus GF	3	1624	28.15%	@ Aalborg	0	1632	40.53%
13	2012-08-12	14.08	Aalborg	4	1576	24.45%	@ Horsens	1	1624	46.78%
14	2012-11-04	13.79	Odense	3	1585	32.64%	@ Brondby	0	1556	35.01%
15	2013-05-12	13.79	Esbjerg	2	1601	18.60%	@ FC Copenhagen	0	1749	62.92%
16	2012-08-17	13.54	@ Aalborg	3	1590	33.54%	Midtjylland	0	1629	34.08%
17	2012-07-14	13.35	@ Sonderjyske	6	1592	47.77%	Randers	1	1538	23.98%
18	2012-09-14	13.16	@ Esbjerg	3	1563	34.96%	Odense	0	1592	32.69%
19	2012-08-27	13.04	Aarhus GF	4	1595	27.42%	@ Horsens	1	1610	41.61%
20	2013-05-16	12.65	@ Aarhus GF	3	1595	36.92%	Aalborg	0	1611	30.94%
21	2012-10-06	12.62	Aarhus GF	3	1633	37.02%	@ Sonderjyske	0	1574	30.85%
22	2012-08-11	12.31	@ Nordsjaelland	6	1662	51.31%	Silkeborg	1	1586	22.45%
23	2012-09-24	12.19	Esbjerg	2	1576	22.46%	@ Aalborg	0	1652	51.28%
24	2013-04-21	11.86	@ Sonderjyske	4	1564	31.70%	Odense	1	1616	36.05%
25	2012-11-11	11.54	@ FC Copenhagen	4	1719	53.18%	Aalborg	0	1631	21.73%