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2011-12 1st Division Season

182 games

Final

Promoted

Esbjerg

66 pts

Randers · 49 pts

Relegated

Blokhus FC

11 pts

Naestved · 22 pts

FC Roskilde · 27 pts

Biggest Overachiever

Esbjerg

16.81 points above expected

66 points · 49.19 expected points

Biggest Disappointment

Blokhus FC

15.96 points below expected

11 points · 26.96 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 Esbjerg Promoted 26 21 3 2 66 60 19 +41 49.19 +16.81
2 Randers Promoted 26 15 4 7 49 38 22 +16 46.18 +2.82
3 Vejle Boldklub Kolding 26 12 8 6 44 58 32 +26 45.29 -1.29
4 Viborg 26 10 10 6 40 45 34 +11 39.61 +0.39
5 Bronshoj 26 10 10 6 40 35 34 +1 34.73 +5.27
6 Vestsjaelland 26 10 8 8 38 42 35 +7 36.12 +1.88
7 Fredericia 26 9 8 9 35 33 30 +3 38.45 -3.45
8 Skive 26 9 7 10 34 31 41 -10 28.77 +5.23
9 Hobro 26 8 9 9 33 37 35 +2 35.48 -2.48
10 FC Hjorring 26 8 7 11 31 31 42 -11 30.40 +0.60
11 Akademisk BK 26 7 8 11 29 32 44 -12 31.94 -2.94
12 FC Roskilde Relegated 26 8 3 15 27 28 38 -10 30.59 -3.59
13 Naestved Relegated 26 6 4 16 22 32 51 -19 26.57 -4.57
14 Blokhus FC Relegated 26 2 5 19 11 27 72 -45 26.96 -15.96

Form

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

League Race

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

Season Summary

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

Team Elo Points Avg Luck Percentile Min 5th Q1 Median Q3 95th Max
Esbjerg 1676 66 49.19 +16.81 99.7% 27 39 45 49 54 60 72
Vejle Boldklub Kolding 1574 44 45.29 -1.29 45.1% 21 35 41 45 50 56 67
Randers 1529 49 46.18 +2.82 69.4% 22 36 42 46 51 57 68
Bronshoj 1480 40 34.73 +5.27 81.7% 12 24 30 35 39 45 59
Viborg 1478 40 39.61 +0.39 55.4% 14 29 35 40 44 50 63
Vestsjaelland 1466 38 36.12 +1.88 63.9% 14 26 32 36 41 47 60
Fredericia 1460 35 38.45 -3.45 32.5% 16 28 34 38 43 49 63
Hobro 1435 33 35.48 -2.48 38.5% 10 25 31 35 40 46 65
Skive 1435 34 28.77 +5.23 82.4% 8 19 25 29 33 39 53
FC Hjorring 1399 31 30.40 +0.60 57.8% 8 20 26 30 35 41 56
Akademisk BK 1373 29 31.94 -2.94 35.1% 7 22 28 32 36 43 57
FC Roskilde 1362 27 30.59 -3.59 31.3% 7 20 26 30 35 41 55
Naestved 1347 22 26.57 -4.57 25.8% 6 17 22 26 30 37 51
Blokhus FC 1220 11 26.96 -15.96 0.3% 5 17 23 27 31 37 51

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 AB BLO BRO ESB FH FR FRE HOB NAE RAN SKI VBK VES VIB
Akademisk BK —
0-1-1
2.97
0-1-1
2.35
0-0-2
1.85
0-0-2
3.08
2-0-0
2.68
0-2-0
2.25
2-0-0
2.24
1-0-1
3.12
0-0-2
1.61
1-1-0
3.03
0-0-2
1.79
0-2-0
2.63
1-1-0
2.36
Blokhus FC
1-1-0
2.52
 —
0-0-2
2.23
0-0-2
1.11
0-1-1
2.11
0-0-2
2.83
0-1-1
1.74
0-1-1
2.04
0-1-1
2.80
0-0-2
1.75
1-0-1
2.86
0-0-2
1.64
0-0-2
1.73
0-0-2
1.60
Bronshoj
1-1-0
3.13
2-0-0
3.25
 —
0-2-0
1.65
0-2-0
3.06
2-0-0
3.22
1-1-0
2.29
0-1-1
2.76
2-0-0
3.19
1-1-0
1.82
0-1-1
3.09
1-0-1
2.08
0-0-2
2.85
0-1-1
2.32
Esbjerg
2-0-0
3.67
2-0-0
4.47
0-2-0
3.86
 —
2-0-0
4.05
2-0-0
3.92
2-0-0
3.88
2-0-0
3.94
2-0-0
3.97
0-1-1
3.26
2-0-0
4.09
2-0-0
3.11
1-0-1
3.60
2-0-0
3.46
FC Hjorring
2-0-0
2.40
1-1-0
3.38
0-2-0
2.43
0-0-2
1.47
 —
1-1-0
2.69
0-1-1
1.95
0-1-1
2.36
1-0-1
3.03
0-0-2
1.64
1-0-1
3.05
0-1-1
1.76
2-0-0
1.95
0-0-2
2.24
FC Roskilde
0-0-2
2.80
2-0-0
2.64
0-0-2
2.28
0-0-2
1.60
0-1-1
2.79
 —
2-0-0
2.10
1-1-0
2.45
1-0-1
3.11
1-0-1
1.39
0-0-2
2.95
0-1-1
1.66
1-0-1
2.60
0-0-2
2.33
Fredericia
0-2-0
3.23
1-1-0
3.77
0-1-1
3.19
0-0-2
1.64
1-1-0
3.54
0-0-2
3.40
 —
1-0-1
2.79
1-0-1
3.85
1-1-0
2.18
1-0-1
3.45
0-2-0
2.08
2-0-0
2.82
1-0-1
2.46
Hobro
0-0-2
3.26
1-1-0
3.45
1-1-0
2.72
0-0-2
1.59
1-1-0
3.12
0-1-1
3.03
1-0-1
2.70
 —
1-1-0
3.46
1-0-1
1.96
2-0-0
2.88
0-0-2
2.29
0-2-0
2.61
0-2-0
2.42
Naestved
1-0-1
2.36
1-1-0
2.68
0-0-2
2.31
0-0-2
1.57
1-0-1
2.45
1-0-1
2.37
1-0-1
1.66
0-1-1
2.04
 —
1-0-1
1.63
0-1-1
2.33
0-1-1
1.24
0-0-2
2.22
0-0-2
1.72
Randers
2-0-0
3.92
2-0-0
3.77
0-1-1
3.69
1-1-0
2.23
2-0-0
3.88
1-0-1
4.15
0-1-1
3.30
1-0-1
3.53
1-0-1
3.91
 —
1-0-1
4.11
1-0-1
3.09
2-0-0
3.49
1-1-0
3.16
Skive
0-1-1
2.46
1-0-1
2.62
1-1-0
2.38
0-0-2
1.46
1-0-1
2.44
2-0-0
2.52
1-0-1
2.04
0-0-2
2.60
1-1-0
3.15
1-0-1
1.43
 —
1-0-1
1.45
0-2-0
2.22
0-2-0
1.97
Vejle Boldklub Kolding
2-0-0
3.72
2-0-0
3.88
1-0-1
3.41
0-0-2
2.37
1-1-0
3.75
1-1-0
3.87
0-2-0
3.41
2-0-0
3.20
1-1-0
4.32
1-0-1
2.39
1-0-1
4.08
 —
0-1-1
3.62
0-2-0
3.17
Vestsjaelland
0-2-0
2.85
2-0-0
3.79
2-0-0
2.62
1-0-1
1.90
0-0-2
3.54
1-0-1
2.88
0-0-2
2.66
0-2-0
2.87
2-0-0
3.26
0-0-2
2.01
0-2-0
3.27
1-1-0
1.88
 —
1-1-0
2.58
Viborg
0-1-1
3.13
2-0-0
3.92
1-1-0
3.16
0-0-2
2.03
2-0-0
3.24
2-0-0
3.15
1-0-1
3.03
0-2-0
3.07
2-0-0
3.80
0-1-1
2.33
0-2-0
3.54
0-2-0
2.32
0-1-1
2.90
 —

Points vs. Goals Scored, Allowed, and Differential

Points plotted against goals scored, allowed, and differential. Use the buttons to switch views; hover a team for exact values. The table gives each fit's R² and slope (the change in points per 10 goals).

Fit Metrics

R² Slope
Scored 0.65 +10.1
Allowed 0.82 -9.1
Differential 0.92 +5.9

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.

↓ Scored | Allowed →012345+Total
07.69%7.14%4.95%3.57%2.75%0.82%26.92%
17.14%9.34%7.14%4.40%1.65%1.37%31.04%
24.95%7.14%8.24%2.20%0.55%—23.08%
33.57%4.40%2.20%0.55%0.27%—10.99%
42.75%1.65%0.55%0.27%—0.27%5.49%
5+0.82%1.37%——0.27%—2.47%
Total26.92%31.04%23.08%10.99%5.49%2.47%100%

Summary Statistics

Scored Allowed Difference
Mean 1.45 1.45 +0.00
SD 1.31 1.31 2.00
CV 0.90 0.90 —
Max 7 7 +7
Min 0 0 -7

Games Played: 182

↓ Scored | Allowed →012345+Total
03.85%—11.54%3.85%3.85%—23.08%
111.54%15.38%7.69%7.69%——42.31%
2—3.85%11.54%3.85%3.85%—23.08%
33.85%3.85%3.85%———11.54%
4———————
5+———————
Total19.23%23.08%34.62%15.38%7.69%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.23 1.69 -0.46
SD 0.95 1.19 1.61
CV 0.77 0.70 —
Max 3 4 +3
Min 0 0 -4

Games Played: 26

↓ Scored | Allowed →012345+Total
0—3.85%3.85%7.69%3.85%7.69%26.92%
1—11.54%15.38%15.38%—7.69%50.00%
2—3.85%7.69%3.85%3.85%—19.23%
3———————
4——3.85%———3.85%
5+———————
Total—19.23%30.77%26.92%7.69%15.38%100%

Summary Statistics

Scored Allowed Difference
Mean 1.04 2.77 -1.73
SD 0.92 1.50 1.97
CV 0.88 0.54 —
Max 4 7 +2
Min 0 1 -7

Games Played: 26

↓ Scored | Allowed →012345+Total
015.38%—3.85%—3.85%—23.08%
13.85%11.54%—7.69%7.69%—30.77%
211.54%19.23%11.54%———42.31%
3———————
4———————
5+3.85%—————3.85%
Total34.62%30.77%15.38%7.69%11.54%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.35 1.31 +0.04
SD 1.09 1.35 1.89
CV 0.81 1.03 —
Max 5 4 +5
Min 0 0 -4

Games Played: 26

↓ Scored | Allowed →012345+Total
011.54%—3.85%———15.38%
115.38%—————15.38%
23.85%23.08%—3.85%——30.77%
37.69%3.85%3.85%———15.38%
411.54%3.85%————15.38%
5+3.85%———3.85%—7.69%
Total53.85%30.77%7.69%3.85%3.85%—100%

Summary Statistics

Scored Allowed Difference
Mean 2.31 0.73 +1.58
SD 1.69 1.04 1.84
CV 0.73 1.43 —
Max 7 4 +7
Min 0 0 -2

Games Played: 26

↓ Scored | Allowed →012345+Total
011.54%7.69%7.69%3.85%11.54%—42.31%
17.69%3.85%3.85%—3.85%3.85%23.08%
2——11.54%———11.54%
37.69%11.54%————19.23%
43.85%—————3.85%
5+———————
Total30.77%23.08%23.08%3.85%15.38%3.85%100%

Summary Statistics

Scored Allowed Difference
Mean 1.19 1.62 -0.42
SD 1.30 1.55 2.34
CV 1.09 0.96 —
Max 4 5 +4
Min 0 0 -4

Games Played: 26

↓ Scored | Allowed →012345+Total
03.85%23.08%7.69%3.85%3.85%—42.31%
17.69%3.85%15.38%3.85%——30.77%
23.85%3.85%3.85%———11.54%
3—3.85%7.69%———11.54%
4———————
5+—3.85%————3.85%
Total15.38%38.46%34.62%7.69%3.85%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.08 1.46 -0.38
SD 1.29 0.99 1.70
CV 1.20 0.68 —
Max 5 4 +4
Min 0 0 -4

Games Played: 26

↓ Scored | Allowed →012345+Total
015.38%11.54%———3.85%30.77%
13.85%11.54%7.69%3.85%3.85%—30.77%
211.54%3.85%3.85%3.85%——23.08%
37.69%3.85%————11.54%
4—3.85%————3.85%
5+———————
Total38.46%34.62%11.54%7.69%3.85%3.85%100%

Summary Statistics

Scored Allowed Difference
Mean 1.27 1.15 +0.12
SD 1.15 1.35 1.88
CV 0.91 1.17 —
Max 4 5 +3
Min 0 0 -5

Games Played: 26

↓ Scored | Allowed →012345+Total
07.69%7.69%7.69%—3.85%—26.92%
17.69%19.23%3.85%3.85%3.85%—38.46%
23.85%3.85%7.69%3.85%——19.23%
3—3.85%————3.85%
43.85%3.85%————7.69%
5+—3.85%————3.85%
Total23.08%42.31%19.23%7.69%7.69%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.42 1.35 +0.08
SD 1.47 1.16 2.02
CV 1.04 0.86 —
Max 6 4 +5
Min 0 0 -4

Games Played: 26

↓ Scored | Allowed →012345+Total
0—7.69%11.54%7.69%——26.92%
111.54%3.85%15.38%3.85%—3.85%38.46%
23.85%3.85%11.54%3.85%——23.08%
3—3.85%——3.85%—7.69%
4—————3.85%3.85%
5+———————
Total15.38%19.23%38.46%15.38%3.85%7.69%100%

Summary Statistics

Scored Allowed Difference
Mean 1.23 1.96 -0.73
SD 1.07 1.37 1.51
CV 0.87 0.70 —
Max 4 5 +2
Min 0 0 -4

Games Played: 26

↓ Scored | Allowed →012345+Total
07.69%19.23%—7.69%——34.62%
111.54%3.85%————15.38%
211.54%11.54%3.85%———26.92%
33.85%7.69%3.85%———15.38%
43.85%3.85%————7.69%
5+———————
Total38.46%46.15%7.69%7.69%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.46 0.85 +0.62
SD 1.33 0.88 1.72
CV 0.91 1.04 —
Max 4 3 +4
Min 0 0 -3

Games Played: 26

↓ Scored | Allowed →012345+Total
011.54%—7.69%7.69%3.85%—30.77%
115.38%7.69%7.69%3.85%—3.85%38.46%
2—3.85%7.69%3.85%——15.38%
33.85%3.85%3.85%———11.54%
4—3.85%————3.85%
5+———————
Total30.77%19.23%26.92%15.38%3.85%3.85%100%

Summary Statistics

Scored Allowed Difference
Mean 1.19 1.58 -0.38
SD 1.13 1.50 1.98
CV 0.95 0.95 —
Max 4 6 +3
Min 0 0 -5

Games Played: 26

↓ Scored | Allowed →012345+Total
03.85%3.85%————7.69%
1—11.54%7.69%3.85%3.85%—26.92%
27.69%3.85%15.38%3.85%——30.77%
311.54%—————11.54%
47.69%3.85%—3.85%——15.38%
5+3.85%3.85%————7.69%
Total34.62%26.92%23.08%11.54%3.85%—100%

Summary Statistics

Scored Allowed Difference
Mean 2.23 1.23 +1.00
SD 1.42 1.18 2.10
CV 0.64 0.96 —
Max 5 4 +5
Min 0 0 -3

Games Played: 26

↓ Scored | Allowed →012345+Total
011.54%7.69%3.85%3.85%——26.92%
1—11.54%7.69%7.69%——26.92%
27.69%7.69%3.85%———19.23%
3—7.69%7.69%3.85%——19.23%
4———————
5+—7.69%————7.69%
Total19.23%42.31%23.08%15.38%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.62 1.35 +0.27
SD 1.47 0.98 1.73
CV 0.91 0.73 —
Max 5 3 +4
Min 0 0 -3

Games Played: 26

↓ Scored | Allowed →012345+Total
03.85%7.69%—3.85%3.85%—19.23%
13.85%15.38%7.69%———26.92%
23.85%7.69%15.38%———26.92%
33.85%7.69%—3.85%——15.38%
47.69%—3.85%———11.54%
5+———————
Total23.08%38.46%26.92%7.69%3.85%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.73 1.31 +0.42
SD 1.28 1.05 1.84
CV 0.74 0.80 —
Max 4 4 +4
Min 0 0 -4

Games Played: 26

Home-Field Advantage Edge

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

Top Overachievers & Disappointments

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

Biggest Overachievers

# Team Actual Sim vsSim
1 Esbjerg 66 49.19 +16.81
2 Bronshoj 40 34.73 +5.27
3 Skive 34 28.77 +5.23
4 Randers 49 46.18 +2.82
5 Vestsjaelland 38 36.12 +1.88

Biggest Disappointments

# Team Actual Sim vsSim
1 Blokhus FC 11 26.96 -15.96
2 Naestved 22 26.57 -4.57
3 FC Roskilde 27 30.59 -3.59
4 Fredericia 35 38.45 -3.45
5 Akademisk BK 29 31.94 -2.94

Top Streaks

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

Most Unlikely Winning Streaks

# Team Games Dates Probability
1 Esbjerg 11 Oct 16 – May 5 1 in 452
2 Bronshoj 3 Apr 5 – Apr 14 1 in 50
3 FC Hjorring 3 Sep 4 – Sep 18 1 in 38
4 Randers 5 Oct 16 – Nov 6 1 in 24
5 Naestved 3 May 6 – May 20 1 in 24

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Blokhus FC 12 Apr 5 – Jun 10 1 in 2,563
2 FC Roskilde 4 Oct 16 – Nov 6 1 in 31
3 Randers 2 Apr 9 – Apr 15 1 in 23
4 Viborg 2 Jun 1 – Jun 10 1 in 17
5 Naestved 4 Oct 9 – Oct 30 1 in 14

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Esbjerg 18 Aug 26 – May 5 1 in 84
2 Skive 7 May 6 – Jun 10 1 in 77
3 Viborg 10 Nov 6 – May 20 1 in 37
4 Randers 11 Aug 28 – Nov 6 1 in 26
5 Hobro 6 Apr 15 – May 19 1 in 15

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Naestved 15 Aug 28 – Apr 14 1 in 93
2 Blokhus FC 12 Apr 5 – Jun 10 1 in 24
3 Fredericia 6 Aug 28 – Oct 1 1 in 23
4 Akademisk BK 7 Nov 13 – May 6 1 in 19
5 FC Hjorring 8 Oct 16 – Apr 9 1 in 15

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).

Team1234567891011121314
Esbjerg45.48%23.56%13.48%7.82%4.36%2.34%1.47%0.74%0.36%0.24%0.11%0.02%0.02%—
Randers22.98%24.70%19.63%12.63%7.87%4.94%2.97%2.01%0.98%0.62%0.39%0.18%0.07%0.03%
Vejle Boldklub Kolding19.86%23.16%19.91%13.77%8.43%5.41%4.16%2.28%1.34%0.83%0.38%0.34%0.10%0.03%
Viborg4.40%9.06%13.09%14.97%14.01%11.47%9.75%7.48%5.51%4.00%2.93%1.81%1.14%0.38%
Bronshoj0.99%2.52%4.93%7.28%9.31%10.94%12.01%11.33%10.49%9.48%7.66%5.76%4.70%2.60%
Vestsjaelland1.48%3.82%6.99%10.33%11.37%12.20%11.49%10.65%8.85%7.27%6.37%4.59%3.03%1.56%
Fredericia2.87%7.03%10.28%12.78%14.01%12.73%10.85%8.71%7.26%5.01%3.66%2.48%1.65%0.68%
Skive0.08%0.25%0.80%1.57%2.70%4.20%5.42%7.38%9.22%11.14%12.86%14.10%15.84%14.44%
Hobro1.08%3.27%5.44%8.59%10.62%12.25%11.47%10.80%10.07%9.12%6.39%4.96%3.49%2.45%
FC Hjorring0.20%0.51%1.35%2.34%4.41%6.08%7.22%9.14%10.03%11.57%12.57%12.72%11.58%10.28%
Akademisk BK0.35%1.01%2.04%3.67%5.62%7.58%9.23%10.49%11.58%11.18%11.29%9.85%9.15%6.96%
FC Roskilde0.19%0.75%1.38%2.63%4.33%5.61%6.94%9.51%11.26%12.53%12.17%12.12%11.17%9.41%
Naestved—0.13%0.35%0.63%1.43%2.04%3.48%4.57%6.32%8.69%11.63%15.44%19.24%26.05%
Blokhus FC0.04%0.23%0.33%0.99%1.53%2.21%3.54%4.91%6.73%8.32%11.59%15.63%18.82%25.13%

Points Required Per Position

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

Points Totals in Context

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

Season Trends

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

Edges & Scoring

How these are measured

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

Home Edge
Share of matches won by the home team minus the share won by the away team.
No Edge: under 5% * Slight Edge: 5% to 15% * Clear Edge: 15% to 25% * Strong Edge: 25% and up.
Elo Value
Number of Elo rating points one goal is worth. A team this many Elo points better than another is expected to win by one goal on a neutral field.
Scoring Tilt
Average home goals minus average away goals per match. The gold line is the home goals edge implied by the scoring value of an Elo point and the home-field Elo bonus.
Road-Tilted: under -0.2 * Neutral: -0.2 to 0.5 * Home-Tilted: 0.5 to 1.2 * Strong Home: 1.2 and up.
Home Edge
HomeDrawAway
+10.44%
Slight Edge
42.31%25.82%31.87%
Elo Value
Home Edge: 36.40 Elo pts.
159 Elo
0.006 goals per Elo point
0400
Scoring Tilt
Expected
+0.18 goals
Neutral
-2+0.23+2

Title Race

How these are measured

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

Title-Race Openness
Effective number of teams with a live shot at finishing 1st, from the simulation. 1 means the favorite is a near-lock; larger means a wide-open race. Equal to 1 divided by the sum of squared title odds.
One-Team Race: under 2 * Top-Heavy: 2 to 4 * Open: 4 to 6 * Wide Open: 6 and up.
Champion Preseason Odds
Preseason probability that the eventual champion would finish 1st, from the simulation. The dot marks their rank across all teams, from longshot to favorite.
Preseason Favorite: 1st * Among the Favorites: 2nd to 3rd * Middle of the Pack: 4th to 7th * Longshot: 8th or lower.
Title Margin
Points-per-game gap between the champion and the runner-up. Shown per game so it reads the same across long and short seasons. The gold line is the winning margin the model expected, so a dot to the right means a more one-sided race than projected. A title won on goal difference shows 0.00.
Photo Finish: under 0.15 * Tight Race: 0.15 to 0.4 * Comfortable: 0.4 to 0.75 * Runaway: 0.75 and up.
Title-Race Openness
3.3
Top-Heavy
124610
Champion Preseason Odds
45%
Esbjerg, 1st of 14
LongshotFavorite
Title Margin
Expected
0.65/gm
Comfortable
00.191/gm

Simulation-Based Surprises

How these are measured

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

Luck Spread
Standard deviation of the gap between each team's actual points and their simulated average points. The gold line is the spread the model expected from chance alone.
As Expected: under 5.07 * Some Luck: 5.07 to 7.6 * Lucky: 7.6 to 10.13 * Wild Swing: 10.13 and up.
Average Finish Error
Average gap between where each team was projected to finish and where they actually finished in the table.
Pinpoint: under 1.79 * Close: 1.79 to 2.68 * Off: 2.68 to 3.57 * Way Off: 3.57 and up.
Biggest Overachiever
The team that finished highest inside its own range of simulated outcomes. The gold line is where the top team in a league of 14 typically lands.
Biggest Underachiever
The team that finished lowest inside its own range of simulated outcomes. The gold line is where the bottom team in a league of 14 typically lands.
Season Outliers
Number of teams that finished above the 95th or below the 5th percentile of their own simulated range. Even a well-calibrated model expects about 10% of teams in the extremes.
Minimal Outliers: under 14 * As Expected: 14 to 22.4 * Several Outliers: 22.4 to 30.8 * Many Outliers: 30.8 and up.
Unexpected Relegations
Number of teams that were actually relegated but were not in the model's projected bottom field of the same size. The gold line is how many the model expected to miss on average.
As Expected: under 2.34 * A Surprise: 2.34 to 3.75 * Several Surprises: 3.75 to 5.16 * Many Surprises: 5.16 and up.
Luck Spread
Expected
6.90 points
Some Luck
06.3316
Average Finish Error
Expected
1.29
Pinpoint
02.235
Biggest Overachiever
Expected 96.43%
99.74%
Esbjerg
50100
Biggest Underachiever
Expected 3.57%
0.32%
Blokhus FC
050
Season Outliers
Expected
2 of 14
Minimal Outliers
01.47
Unexpected Relegations
Expected
1 of 3
As Expected
02.33

Parity

How these are measured

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

Gini Index
How evenly points were spread across the league. Lower means a tight, balanced table; higher means a few teams ran off with most of the points.
Balanced: under 0.12 * Even: 0.12 to 0.18 * Top-Heavy: 0.18 to 0.26 * Lopsided: 0.26 and up.
Noll-Scully
How much more spread out the table was than a league where every match is a coin flip. The gold line at 1 is that coin-flip baseline. Above it, real talent gaps stretched the table; below it, the league was tighter than luck alone would produce.
Coin-Flip Parity: under 1 * Moderate Separation: 1 to 1.6 * Strong Separation: 1.6 to 2.2 * Wide Separation: 2.2 and up.
Interquartile Edge
Chance the team at the 75th percentile of Elo would beat the team at the 25th percentile on a neutral field. Higher means a bigger gap between the upper and lower half of the table.
Even: under 60% * Slight Edge: 60% to 70% * Clear Edge: 70% to 80% * Wide Edge: 80% and up.
Best vs. Worst
Chance the top-rated team would beat the bottom-rated team on a neutral field. The gold line is how large that gap tends to be in a league of this size; a dot to the right flags an unusually dominant or unusually weak team.
Even: under 70% * Clear Edge: 70% to 82% * Strong Edge: 82% to 92% * Dominant: 92% and up.
Close Games
Share of matches decided by 1 goal or fewer, draws included. The gold line is how many close games the matchups and the scoring value of an Elo point predict.
Few: under 30% * Some Drama: 30% to 40% * Frequent: 40% to 50% * Very Frequent: 50% and up.
Blowouts
Share of matches decided by 3 goals or more. The gold line is how many routs the matchups and the scoring model predict.
Rare: under 8% * Occasional: 8% to 14% * Frequent: 14% to 22% * Very Frequent: 22% and up.
Gini Index
0.19
Top-Heavy
00.120.180.260.5
Noll-Scully
Coin-flip
1.68
Strong Separation
01.003
Interquartile Edge
64%
Slight Edge
50%60%70%80%100%
Best vs. Worst
Baseline
93%
Dominant
50%91%100%
Close Games
Expected
60%
Very Frequent
0%55%100%
Blowouts
Expected
20%
Frequent
0%21%100%

Predictability

How these are measured

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

Brier Score
How close the pregame probabilities landed to the actual result, averaged over the season. Confident, correct calls are rewarded most; confident misses are punished most. Lower is better; since draws are possible, a score under 0.66 beats guessing the base rate.
Highly Predictable: under 0.56 * Predictable: 0.56 to 0.62 * Hard to Predict: 0.62 to 0.66 * Coin-Flip: 0.66 and up.
Matchup Imbalance
How lopsided the matchups were on paper, averaging the gap between the two win probabilities over their sum. 0 means every match was a toss-up; 1 means every match was a heavy favorite against a big underdog.
Very Even: under 0.1 * Slight Separation: 0.1 to 0.18 * Notable Separation: 0.18 to 0.28 * Lopsided: 0.28 and up.
Strangeness
How wild the final table was versus what the model expected. A value of 1 means teams landed about one standard deviation from their projections on average. Above 1 is a stranger season; below 1 hugged the projections.
Very Predictable: under 0.8 * As Expected: 0.8 to 1.1 * Wilder Than Modeled: 1.1 to 1.4 * Chaotic: 1.4 and up.
Repeatability
How closely the final table order matched the preseason Elo order, by Spearman rank correlation. Higher means last season's ratings strongly predicted this season's finish. Shows N/A for an inaugural season.
Weak Carryover: under 0.3 * Some Carryover: 0.3 to 0.6 * Strong Carryover: 0.6 to 0.85 * Near-Lock: 0.85 and up.
Upset Rate
Share of matches the underdog won. The gold line is how often the model expected underdogs to win; a dot to the right means upsets ran hotter than expected.
Chalky: under 25% * As Expected: 25% to 33% * Upset-Prone: 33% to 42% * Very Upset-Prone: 42% and up.
Clear Favorite Upset Rate
Share of matches the underdog won, counting only games with a clear favorite (at least 60% likely to win once a draw is set aside). The gold line is how often the model expected these favorites to slip.
Solid Favorites: under 15% * As Expected: 15% to 25% * Shaky Favorites: 25% to 35% * Very Shaky: 35% and up.
Brier Score
Expected
0.61
Predictable
00.622
Matchup Imbalance
0.31
Lopsided
00.10.180.280.5
Strangeness
Expected
1.22
Wilder Than Modeled
01.002
Repeatability
0.52
Some Carryover
00.30.60.851
Upset Rate
Expected
24%
Chalky
0%26%50%
Clear Favorite Upset Rate
Expected
22%
As Expected
0%21%50%

Calibration

How these are measured

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

Probability calibration
An all-in-one chi-square test of the model's probabilities. Matches are grouped by how confident the model was, and within each group the predicted and actual counts of home wins, draws, and away wins are compared. The p-value is plotted; above 0.05 means well-calibrated.
Miscalibrated: under 0.05 * Borderline: 0.05 to 0.1 * Well Calibrated: 0.1 to 0.5 * Excellent: 0.5 and up.
Calibration slope
Checks whether the spread of the probabilities is right. Each probability is turned into log-odds and a line is fit predicting the actual results. A slope of 1.00 is perfect; below 1 is overconfidence (favorites lost more than their odds implied); above 1 is under-confidence.
Overconfident: under 0.85 * Calibrated: 0.85 to 1.15 * Underconfident: 1.15 to 1.3 * Very Underconfident: 1.3 and up.
Calibration error (ECE)
The average gap between the model's stated chances and how often the predicted result actually happened. Smaller is better. The gold line is the noise ceiling, the error luck alone can produce even with perfect probabilities; below it, the model's error is no larger than chance.
Well Within Noise: under 0.12 * Near Noise Ceiling: 0.12 to 0.19 * Above Noise: 0.19 to 0.25 * Well Above Noise: 0.25 and up.
Probability calibration
0.71
Excellent
0.010.050.10.51
Calibration slope
Ideal
1.01
Calibrated
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.066
Well Within Noise
00.1240.3

Next-Season Status

Across 100,000 regular-season simulations, the probability of each team's next-season status. Columns appear in best-to-worst outcome order: promotion-positive on the left, relegation-positive on the right. Cells with darker shading indicate higher likelihood.

Team Direct promotion Same level Direct relegation
Esbjerg 69.04% 30.96% —
Randers 47.68% 52.29% 0.03%
Vejle Boldklub Kolding 43.02% 56.95% 0.03%
Viborg 13.46% 86.16% 0.38%
Fredericia 9.90% 89.42% 0.68%
Vestsjaelland 5.30% 93.14% 1.56%
Hobro 4.35% 93.20% 2.45%
Bronshoj 3.51% 93.89% 2.60%
Akademisk BK 1.36% 91.68% 6.96%
FC Roskilde 0.94% 89.65% 9.41%
FC Hjorring 0.71% 89.01% 10.28%
Skive 0.33% 85.23% 14.44%
Blokhus FC 0.27% 74.60% 25.13%
Naestved 0.13% 73.82% 26.05%

Overall Game Log

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

Date Opponent Score Pre Elo Opp Elo Win % Tie % Loss % Elo Δ Points
2011-08-12 Vejle Boldklub Kolding W 4-1 1511 1451 50.04% 25.44% 24.52% +16.8 3
2011-08-12 @ Randers L 1-4 1451 1511 24.52% 25.44% 50.04% -16.8 0
2011-08-12 FC Hjorring W 4-0 1429 1413 44.15% 26.01% 29.83% +30.5 3
2011-08-12 @ Viborg L 0-4 1413 1429 29.83% 26.01% 44.15% -30.5 0
2011-08-13 FC Roskilde D 1-1 1418 1423 41.38% 26.16% 32.46% -0.5 1
2011-08-13 @ Hobro D 1-1 1423 1418 32.46% 26.16% 41.38% +0.5 1
2011-08-13 Skive D 1-1 1439 1438 42.22% 26.12% 31.65% -0.6 1
2011-08-13 @ Bronshoj D 1-1 1438 1439 31.65% 26.12% 42.22% +0.6 1
2011-08-14 Akademisk BK D 2-2 1446 1437 43.27% 26.07% 30.66% -0.5 1
2011-08-14 @ Blokhus FC D 2-2 1437 1446 30.66% 26.07% 43.27% +0.5 1
2011-08-14 Naestved W 5-4 1499 1435 50.41% 25.39% 24.20% +6.2 3
2011-08-14 @ Esbjerg L 4-5 1435 1499 24.20% 25.39% 50.41% -6.2 0
2011-08-14 Vestsjaelland W 3-1 1463 1431 46.43% 25.84% 27.73% +13.1 3
2011-08-14 @ Fredericia L 1-3 1431 1463 27.73% 25.84% 46.43% -13.1 0
2011-08-19 Esbjerg W 3-2 1418 1505 30.03% 26.03% 43.94% +10.3 3
2011-08-19 @ Vestsjaelland L 2-3 1505 1418 43.94% 26.03% 30.03% -10.3 3
2011-08-19 Viborg W 1-0 1438 1459 39.13% 26.22% 34.65% +9.6 4
2011-08-19 @ Akademisk BK L 0-1 1459 1438 34.65% 26.22% 39.13% -9.6 3
2011-08-21 Bronshoj W 4-0 1434 1439 41.43% 26.16% 32.41% +32.6 3
2011-08-21 @ Vejle Boldklub Kolding L 0-4 1439 1434 32.41% 26.16% 41.43% -32.5 1
2011-08-21 Fredericia L 1-4 1383 1476 29.30% 25.98% 44.72% -19.4 0
2011-08-21 @ FC Hjorring W 4-1 1476 1383 44.72% 25.98% 29.30% +19.4 6
2011-08-21 Hobro L 1-6 1439 1417 45.02% 25.95% 29.02% -42.7 1
2011-08-21 @ Skive W 6-1 1417 1439 29.02% 25.95% 45.02% +42.7 4
2011-08-21 Blokhus FC W 5-1 1423 1445 38.98% 26.23% 34.79% +28.6 4
2011-08-21 @ FC Roskilde L 1-5 1445 1423 34.79% 26.23% 38.98% -28.6 1
2011-08-21 Randers W 1-0 1429 1528 28.58% 25.92% 45.50% +11.8 3
2011-08-21 @ Naestved L 0-1 1528 1429 45.50% 25.92% 28.58% -11.8 3
2011-08-26 FC Hjorring W 3-0 1495 1363 58.10% 23.96% 17.94% +15.1 6
2011-08-26 @ Esbjerg L 0-3 1363 1495 17.94% 23.96% 58.10% -15.1 0
2011-08-27 Vejle Boldklub Kolding L 1-4 1460 1466 41.19% 26.17% 32.64% -25.2 4
2011-08-27 @ Hobro W 4-1 1466 1460 32.64% 26.17% 41.19% +25.2 6
2011-08-28 Akademisk BK D 1-1 1496 1447 48.47% 25.63% 25.89% -1.2 7
2011-08-28 @ Fredericia D 1-1 1447 1496 25.89% 25.63% 48.47% +1.2 5
2011-08-28 FC Roskilde W 1-0 1450 1452 41.77% 26.14% 32.09% +9.0 6
2011-08-28 @ Viborg L 0-1 1452 1450 32.09% 26.14% 41.77% -9.0 4
2011-08-28 Naestved W 5-1 1428 1441 40.30% 26.20% 33.50% +27.8 6
2011-08-28 @ Vestsjaelland L 1-5 1441 1428 33.50% 26.20% 40.30% -27.8 3
2011-08-28 Randers D 0-0 1406 1516 27.26% 25.79% 46.95% +1.2 2
2011-08-28 @ Bronshoj D 0-0 1516 1406 46.95% 25.79% 27.26% -1.2 4
2011-08-28 Skive W 2-1 1417 1396 44.91% 25.96% 29.13% +7.9 4
2011-08-28 @ Blokhus FC L 1-2 1396 1417 29.13% 25.96% 44.91% -7.9 1
2011-09-04 Bronshoj L 0-2 1413 1407 42.87% 26.09% 31.03% -21.2 3
2011-09-04 @ Naestved W 2-0 1407 1413 31.03% 26.09% 42.87% +21.2 5
2011-09-04 Esbjerg L 0-2 1449 1510 33.46% 26.20% 40.34% -17.6 5
2011-09-04 @ Akademisk BK W 2-0 1510 1449 40.34% 26.20% 33.46% +17.6 9
2011-09-04 Fredericia W 3-2 1443 1494 34.80% 26.23% 38.97% +9.4 7
2011-09-04 @ FC Roskilde L 2-3 1494 1443 38.97% 26.23% 34.80% -9.3 7
2011-09-04 Hobro W 2-0 1515 1435 52.42% 25.10% 22.48% +12.7 7
2011-09-04 @ Randers L 0-2 1435 1515 22.48% 25.10% 52.42% -12.7 4
2011-09-04 Vestsjaelland W 1-0 1348 1456 27.61% 25.83% 46.56% +12.0 3
2011-09-04 @ FC Hjorring L 0-1 1456 1348 46.56% 25.83% 27.61% -12.0 6
2011-09-04 Viborg D 0-0 1388 1459 32.25% 26.15% 41.60% +0.6 2
2011-09-04 @ Skive D 0-0 1459 1388 41.60% 26.15% 32.25% -0.6 7
2011-09-09 Vejle Boldklub Kolding D 1-1 1458 1492 37.37% 26.25% 36.38% -0.0 8
2011-09-09 @ Viborg D 1-1 1492 1458 36.38% 26.25% 37.37% +0.0 7
2011-09-10 Bronshoj W 4-1 1422 1428 41.19% 26.17% 32.65% +21.1 7
2011-09-10 @ Hobro L 1-4 1428 1422 32.65% 26.17% 41.19% -21.1 5
2011-09-11 Akademisk BK D 1-1 1444 1431 43.81% 26.04% 30.15% -0.7 7
2011-09-11 @ Vestsjaelland D 1-1 1431 1444 30.15% 26.04% 43.81% +0.7 6
2011-09-11 FC Roskilde W 1-0 1528 1452 51.81% 25.19% 22.99% +6.9 12
2011-09-11 @ Esbjerg L 0-1 1452 1528 22.99% 25.19% 51.81% -6.9 7
2011-09-11 Naestved W 3-1 1360 1392 37.69% 26.24% 36.07% +16.1 6
2011-09-11 @ FC Hjorring L 1-3 1392 1360 36.07% 26.24% 37.69% -16.1 3
2011-09-11 Randers L 0-1 1425 1528 28.10% 25.87% 46.02% -8.1 4
2011-09-11 @ Blokhus FC W 1-0 1528 1425 46.02% 25.87% 28.10% +8.1 10
2011-09-11 Skive L 0-1 1485 1389 54.26% 24.78% 20.96% -13.7 7
2011-09-11 @ Fredericia W 1-0 1389 1485 20.96% 24.78% 54.26% +13.7 5
2011-09-14 Blokhus FC W 5-0 1492 1417 51.76% 25.20% 23.04% +30.4 10
2011-09-14 @ Vejle Boldklub Kolding L 0-5 1417 1492 23.04% 25.20% 51.76% -30.4 4
2011-09-16 Viborg W 1-0 1536 1458 52.13% 25.14% 22.72% +6.8 13
2011-09-16 @ Randers L 0-1 1458 1536 22.72% 25.14% 52.13% -6.8 8
2011-09-17 Blokhus FC W 2-1 1407 1386 44.96% 25.96% 29.09% +7.9 8
2011-09-17 @ Bronshoj L 1-2 1386 1407 29.09% 25.96% 44.96% -7.9 4
2011-09-18 Esbjerg L 0-4 1402 1535 24.81% 25.49% 49.71% -26.3 5
2011-09-18 @ Skive W 4-0 1535 1402 49.71% 25.49% 24.81% +26.3 15
2011-09-18 Fredericia D 0-0 1522 1471 48.76% 25.60% 25.64% -1.4 11
2011-09-18 @ Vejle Boldklub Kolding D 0-0 1471 1522 25.64% 25.60% 48.76% +1.4 8
2011-09-18 Hobro D 2-2 1376 1443 32.65% 26.17% 41.18% +0.3 4
2011-09-18 @ Naestved D 2-2 1443 1376 41.18% 26.17% 32.65% -0.3 8
2011-09-18 Vestsjaelland L 0-2 1445 1443 42.41% 26.11% 31.48% -21.0 7
2011-09-18 @ FC Roskilde W 2-0 1443 1445 31.48% 26.11% 42.41% +21.0 10
2011-09-18 FC Hjorring L 1-3 1432 1377 49.36% 25.53% 25.11% -20.6 6
2011-09-18 @ Akademisk BK W 3-1 1377 1432 25.11% 25.53% 49.36% +20.6 9
2011-09-23 Naestved W 3-0 1411 1376 46.80% 25.80% 27.39% +21.8 9
2011-09-23 @ Akademisk BK L 0-3 1376 1411 27.39% 25.80% 46.80% -21.8 4
2011-09-23 Vejle Boldklub Kolding W 2-1 1561 1521 47.44% 25.74% 26.81% +7.4 18
2011-09-23 @ Esbjerg L 1-2 1521 1561 26.81% 25.74% 47.44% -7.4 11
2011-09-25 Bronshoj D 1-1 1451 1415 46.89% 25.80% 27.32% -1.1 9
2011-09-25 @ Viborg D 1-1 1415 1451 27.32% 25.80% 46.89% +1.1 9
2011-09-25 FC Roskilde D 0-0 1397 1424 38.29% 26.24% 35.47% -0.2 10
2011-09-25 @ FC Hjorring D 0-0 1424 1397 35.47% 26.24% 38.29% +0.2 8
2011-09-25 Hobro D 1-1 1378 1443 33.05% 26.18% 40.77% +0.4 5
2011-09-25 @ Blokhus FC D 1-1 1443 1378 40.77% 26.18% 33.05% -0.4 9
2011-09-25 Randers D 1-1 1473 1543 32.30% 26.15% 41.55% +0.5 9
2011-09-25 @ Fredericia D 1-1 1543 1473 41.55% 26.15% 32.30% -0.5 14
2011-09-25 Skive D 0-0 1464 1376 53.28% 24.95% 21.77% -2.0 11
2011-09-25 @ Vestsjaelland D 0-0 1376 1464 21.77% 24.95% 53.28% +2.0 6
2011-10-01 Fredericia D 0-0 1416 1473 34.05% 26.21% 39.73% +0.3 10
2011-10-01 @ Bronshoj D 0-0 1473 1416 39.73% 26.21% 34.05% -0.3 10
2011-10-01 Viborg D 1-1 1442 1450 41.02% 26.17% 32.81% -0.4 10
2011-10-01 @ Hobro D 1-1 1450 1442 32.81% 26.17% 41.02% +0.4 10
2011-10-02 Akademisk BK L 0-1 1424 1433 40.90% 26.18% 32.93% -10.8 8
2011-10-02 @ FC Roskilde W 1-0 1433 1424 32.93% 26.18% 40.90% +10.8 12
2011-10-02 Esbjerg D 0-0 1542 1568 38.48% 26.24% 35.28% -0.2 15
2011-10-02 @ Randers D 0-0 1568 1542 35.28% 26.24% 38.48% +0.2 19
2011-10-02 Blokhus FC D 1-1 1354 1379 38.66% 26.23% 35.11% -0.2 5
2011-10-02 @ Naestved D 1-1 1379 1354 35.11% 26.23% 38.66% +0.2 6
2011-10-02 Vestsjaelland D 1-1 1513 1462 48.84% 25.59% 25.57% -1.3 12
2011-10-02 @ Vejle Boldklub Kolding D 1-1 1462 1513 25.57% 25.59% 48.84% +1.3 12
2011-10-02 FC Hjorring L 1-3 1378 1397 39.46% 26.22% 34.32% -17.2 6
2011-10-02 @ Skive W 3-1 1397 1378 34.32% 26.22% 39.46% +17.2 13
2011-10-07 Blokhus FC W 4-2 1450 1379 51.35% 25.26% 23.39% +10.2 13
2011-10-07 @ Viborg L 2-4 1379 1450 23.39% 25.26% 51.35% -10.2 6
2011-10-09 Bronshoj D 0-0 1568 1417 60.19% 23.42% 16.39% -2.9 20
2011-10-09 @ Esbjerg D 0-0 1417 1568 16.39% 23.42% 60.19% +2.9 11
2011-10-09 Hobro W 2-0 1473 1442 46.27% 25.85% 27.88% +15.2 13
2011-10-09 @ Fredericia L 0-2 1442 1473 27.88% 25.85% 46.27% -15.2 10
2011-10-09 Naestved W 2-0 1414 1354 49.89% 25.46% 24.65% +13.8 11
2011-10-09 @ FC Roskilde L 0-2 1354 1414 24.65% 25.46% 49.89% -13.8 5
2011-10-09 Skive W 3-2 1444 1361 52.70% 25.05% 22.25% +6.0 15
2011-10-09 @ Akademisk BK L 2-3 1361 1444 22.25% 25.05% 52.70% -6.0 6
2011-10-14 Akademisk BK W 2-0 1512 1450 50.19% 25.42% 24.39% +13.7 15
2011-10-14 @ Vejle Boldklub Kolding L 0-2 1450 1512 24.39% 25.42% 50.19% -13.7 15
2011-10-15 Vestsjaelland L 0-2 1420 1463 35.90% 26.24% 37.85% -18.5 11
2011-10-15 @ Bronshoj W 2-0 1463 1420 37.85% 26.24% 35.90% +18.5 15
2011-10-16 Esbjerg L 1-2 1427 1566 24.09% 25.38% 50.54% -6.8 10
2011-10-16 @ Hobro W 2-1 1566 1427 50.54% 25.38% 24.09% +6.8 23
2011-10-16 FC Roskilde W 2-1 1355 1427 31.98% 26.14% 41.88% +10.4 9
2011-10-16 @ Skive L 1-2 1427 1355 41.88% 26.14% 31.98% -10.4 11
2011-10-16 Fredericia D 1-1 1369 1488 26.20% 25.67% 48.13% +1.2 7
2011-10-16 @ Blokhus FC D 1-1 1488 1369 48.13% 25.67% 26.20% -1.2 14
2011-10-16 FC Hjorring W 1-0 1542 1414 57.74% 24.04% 18.22% +5.6 18
2011-10-16 @ Randers L 0-1 1414 1542 18.22% 24.04% 57.74% -5.6 13
2011-10-16 Viborg L 0-3 1340 1461 26.09% 25.66% 48.25% -21.0 5
2011-10-16 @ Naestved W 3-0 1461 1340 48.25% 25.66% 26.09% +21.0 16
2011-10-19 Randers L 1-2 1482 1548 32.84% 26.17% 40.99% -8.7 15
2011-10-19 @ Vestsjaelland W 2-1 1548 1482 40.99% 26.17% 32.84% +8.7 21
2011-10-19 Vejle Boldklub Kolding D 1-1 1409 1526 26.49% 25.71% 47.80% +1.2 14
2011-10-19 @ FC Hjorring D 1-1 1526 1409 47.80% 25.71% 26.49% -1.2 16
2011-10-21 Viborg L 1-2 1487 1482 42.83% 26.09% 31.08% -10.6 14
2011-10-21 @ Fredericia W 2-1 1482 1487 31.08% 26.09% 42.83% +10.6 19
2011-10-23 Bronshoj D 2-2 1410 1401 43.29% 26.07% 30.64% -0.5 15
2011-10-23 @ FC Hjorring D 2-2 1401 1410 30.64% 26.07% 43.29% +0.5 12
2011-10-23 Hobro D 0-0 1473 1420 49.10% 25.56% 25.34% -1.5 16
2011-10-23 @ Vestsjaelland D 0-0 1420 1473 25.34% 25.56% 49.10% +1.5 11
2011-10-23 Blokhus FC W 2-1 1572 1370 65.02% 21.89% 13.09% +3.8 26
2011-10-23 @ Esbjerg L 1-2 1370 1572 13.09% 21.89% 65.02% -3.8 7
2011-10-23 Naestved W 1-0 1365 1319 48.20% 25.66% 26.14% +7.7 12
2011-10-23 @ Skive L 0-1 1319 1365 26.14% 25.66% 48.20% -7.7 5
2011-10-23 Randers L 2-3 1436 1557 26.12% 25.66% 48.22% -6.9 15
2011-10-23 @ Akademisk BK W 3-2 1557 1436 48.22% 25.66% 26.12% +6.9 24
2011-10-23 Vejle Boldklub Kolding L 0-3 1417 1524 27.60% 25.83% 46.58% -22.0 11
2011-10-23 @ FC Roskilde W 3-0 1524 1417 46.58% 25.83% 27.60% +22.0 19
2011-10-28 Esbjerg L 1-2 1492 1576 30.51% 26.06% 43.43% -8.2 19
2011-10-28 @ Viborg W 2-1 1576 1492 43.43% 26.06% 30.51% +8.2 29
2011-10-29 Akademisk BK W 2-1 1401 1429 38.18% 26.24% 35.58% +9.2 15
2011-10-29 @ Bronshoj L 1-2 1429 1401 35.58% 26.24% 38.18% -9.2 15
2011-10-29 FC Hjorring W 4-0 1421 1409 43.74% 26.04% 30.22% +30.8 14
2011-10-29 @ Hobro L 0-4 1409 1421 30.22% 26.04% 43.74% -30.8 15
2011-10-30 FC Roskilde W 3-1 1563 1395 61.83% 22.94% 15.23% +7.7 27
2011-10-30 @ Randers L 1-3 1395 1563 15.23% 22.94% 61.83% -7.7 11
2011-10-30 Naestved W 2-1 1476 1312 61.50% 23.04% 15.46% +4.5 17
2011-10-30 @ Fredericia L 1-2 1312 1476 15.46% 23.04% 61.50% -4.5 5
2011-10-30 Skive W 3-0 1546 1373 62.32% 22.79% 14.89% +12.6 22
2011-10-30 @ Vejle Boldklub Kolding L 0-3 1373 1546 14.89% 22.79% 62.32% -12.6 12
2011-10-30 Vestsjaelland L 2-3 1366 1472 27.82% 25.85% 46.33% -7.2 7
2011-10-30 @ Blokhus FC W 3-2 1472 1366 46.33% 25.85% 27.82% +7.2 19
2011-11-04 Fredericia W 4-1 1584 1481 55.04% 24.63% 20.33% +14.3 32
2011-11-04 @ Esbjerg L 1-4 1481 1584 20.33% 24.63% 55.04% -14.3 17
2011-11-05 Blokhus FC D 2-2 1378 1359 44.74% 25.97% 29.28% -0.6 16
2011-11-05 @ FC Hjorring D 2-2 1359 1378 29.28% 25.97% 44.74% +0.6 8
2011-11-06 Bronshoj L 0-2 1387 1411 38.82% 26.23% 34.95% -19.6 11
2011-11-06 @ FC Roskilde W 2-0 1411 1387 34.95% 26.23% 38.82% +19.6 18
2011-11-06 Hobro W 1-0 1420 1452 37.59% 26.24% 36.17% +9.9 18
2011-11-06 @ Akademisk BK L 0-1 1452 1420 36.17% 26.24% 37.59% -9.9 14
2011-11-06 Randers L 0-3 1360 1571 17.53% 23.82% 58.65% -14.8 12
2011-11-06 @ Skive W 3-0 1571 1360 58.65% 23.82% 17.53% +14.8 30
2011-11-06 Vejle Boldklub Kolding D 2-2 1307 1559 14.59% 22.65% 62.75% +2.1 6
2011-11-06 @ Naestved D 2-2 1559 1307 62.75% 22.65% 14.59% -2.1 23
2011-11-06 Viborg D 3-3 1479 1484 41.38% 26.16% 32.46% -0.3 20
2011-11-06 @ Vestsjaelland D 3-3 1484 1479 32.46% 26.16% 41.38% +0.3 20
2011-11-13 Bronshoj W 4-1 1346 1430 30.39% 26.05% 43.55% +26.3 15
2011-11-13 @ Skive L 1-4 1430 1346 43.55% 26.05% 30.39% -26.3 18
2011-11-13 Esbjerg L 2-3 1309 1599 12.36% 21.46% 66.17% -3.4 6
2011-11-13 @ Naestved W 3-2 1599 1309 66.17% 21.46% 12.36% +3.4 35
2011-11-13 Fredericia L 0-2 1479 1467 43.72% 26.04% 30.24% -21.5 20
2011-11-13 @ Vestsjaelland W 2-0 1467 1479 30.24% 26.04% 43.72% +21.5 20
2011-11-13 Hobro W 3-2 1368 1442 31.69% 26.13% 42.18% +9.9 14
2011-11-13 @ FC Roskilde L 2-3 1442 1368 42.18% 26.13% 31.69% -9.9 14
2011-11-13 Blokhus FC L 2-4 1430 1360 51.22% 25.28% 23.50% -19.0 18
2011-11-13 @ Akademisk BK W 4-2 1360 1430 23.50% 25.28% 51.22% +19.0 11
2011-11-13 Viborg L 1-2 1378 1484 27.71% 25.84% 46.46% -7.6 16
2011-11-13 @ FC Hjorring W 2-1 1484 1378 46.46% 25.84% 27.71% +7.6 23
2011-11-20 Randers W 3-0 1557 1586 38.03% 26.24% 35.73% +26.8 26
2011-11-20 @ Vejle Boldklub Kolding L 0-3 1586 1557 35.73% 26.24% 38.03% -26.8 30
2012-04-01 Naestved W 2-1 1559 1306 69.37% 20.17% 10.46% +3.0 33
2012-04-01 @ Randers L 1-2 1306 1559 10.46% 20.17% 69.37% -3.0 6
2012-04-01 Vestsjaelland W 3-1 1602 1457 59.49% 23.60% 16.90% +8.5 38
2012-04-01 @ Esbjerg L 1-3 1457 1602 16.90% 23.60% 59.49% -8.5 20
2012-04-05 Akademisk BK D 2-2 1492 1411 52.46% 25.09% 22.45% -1.3 24
2012-04-05 @ Viborg D 2-2 1411 1492 22.45% 25.09% 52.46% +1.3 19
2012-04-05 FC Roskilde L 1-2 1379 1378 42.22% 26.12% 31.66% -10.5 11
2012-04-05 @ Blokhus FC W 2-1 1378 1379 31.66% 26.12% 42.22% +10.5 17
2012-04-05 Skive W 2-0 1432 1372 49.99% 25.45% 24.56% +13.7 17
2012-04-05 @ Hobro L 0-2 1372 1432 24.56% 25.45% 49.99% -13.7 15
2012-04-05 Vejle Boldklub Kolding W 2-1 1404 1584 20.12% 24.58% 55.30% +13.1 21
2012-04-05 @ Bronshoj L 1-2 1584 1404 55.30% 24.58% 20.12% -13.1 26
2012-04-05 FC Hjorring D 0-0 1488 1370 56.66% 24.29% 19.05% -2.4 21
2012-04-05 @ Fredericia D 0-0 1370 1488 19.05% 24.29% 56.66% +2.4 17
2012-04-09 Bronshoj L 0-1 1562 1417 59.49% 23.61% 16.90% -14.8 33
2012-04-09 @ Randers W 1-0 1417 1562 16.90% 23.61% 59.49% +14.8 24
2012-04-09 Esbjerg L 0-4 1373 1610 15.54% 23.07% 61.39% -17.2 17
2012-04-09 @ FC Hjorring W 4-0 1610 1373 61.39% 23.07% 15.54% +17.2 41
2012-04-09 Fredericia D 0-0 1412 1486 31.84% 26.13% 42.03% +0.6 20
2012-04-09 @ Akademisk BK D 0-0 1486 1412 42.03% 26.13% 31.84% -0.6 22
2012-04-09 Hobro W 4-0 1571 1446 57.35% 24.13% 18.51% +20.3 29
2012-04-09 @ Vejle Boldklub Kolding L 0-4 1446 1571 18.51% 24.13% 57.35% -20.3 17
2012-04-09 Blokhus FC W 3-1 1358 1368 40.73% 26.18% 33.09% +15.1 18
2012-04-09 @ Skive L 1-3 1368 1358 33.09% 26.18% 40.73% -15.1 11
2012-04-09 Vestsjaelland L 1-2 1303 1449 23.37% 25.26% 51.37% -6.6 6
2012-04-09 @ Naestved W 2-1 1449 1303 51.37% 25.26% 23.37% +6.6 23
2012-04-09 Viborg L 0-4 1388 1491 28.18% 25.88% 45.94% -29.2 17
2012-04-09 @ FC Roskilde W 4-0 1491 1388 45.94% 25.88% 28.18% +29.2 27
2012-04-13 Akademisk BK W 3-0 1628 1413 66.12% 21.49% 12.40% +10.4 44
2012-04-13 @ Esbjerg L 0-3 1413 1628 12.40% 21.49% 66.12% -10.4 20
2012-04-13 Skive D 2-2 1520 1373 59.67% 23.56% 16.78% -1.9 28
2012-04-13 @ Viborg D 2-2 1373 1520 16.78% 23.56% 59.67% +1.9 19
2012-04-14 Naestved W 2-1 1432 1296 58.55% 23.85% 17.60% +5.1 27
2012-04-14 @ Bronshoj L 1-2 1296 1432 17.60% 23.85% 58.55% -5.1 6
2012-04-15 FC Roskilde L 1-3 1485 1359 57.55% 24.09% 18.36% -23.5 22
2012-04-15 @ Fredericia W 3-1 1359 1485 18.36% 24.09% 57.55% +23.5 20
2012-04-15 Randers W 1-0 1426 1547 26.00% 25.65% 48.36% +12.4 20
2012-04-15 @ Hobro L 0-1 1547 1426 48.36% 25.65% 26.00% -12.4 33
2012-04-15 Vejle Boldklub Kolding L 1-2 1353 1591 15.53% 23.07% 61.40% -4.5 11
2012-04-15 @ Blokhus FC W 2-1 1591 1353 61.40% 23.07% 15.53% +4.5 32
2012-04-15 FC Hjorring L 0-3 1455 1355 54.63% 24.71% 20.66% -37.7 23
2012-04-15 @ Vestsjaelland W 3-0 1355 1455 20.66% 24.71% 54.63% +37.7 20
2012-04-20 Vestsjaelland D 1-1 1402 1417 40.01% 26.20% 33.79% -0.3 21
2012-04-20 @ Akademisk BK D 1-1 1417 1402 33.79% 26.20% 40.01% +0.3 24
2012-04-20 Viborg D 2-2 1595 1518 52.04% 25.16% 22.80% -1.2 33
2012-04-20 @ Vejle Boldklub Kolding D 2-2 1518 1595 22.80% 25.16% 52.04% +1.2 29
2012-04-21 Hobro D 1-1 1437 1438 41.94% 26.14% 31.93% -0.5 28
2012-04-21 @ Bronshoj D 1-1 1438 1437 31.93% 26.14% 41.94% +0.5 21
2012-04-22 Esbjerg L 1-2 1382 1638 14.36% 22.54% 63.10% -4.2 20
2012-04-22 @ FC Roskilde W 2-1 1638 1382 63.10% 22.54% 14.36% +4.2 47
2012-04-22 Fredericia L 0-2 1375 1462 30.17% 26.04% 43.80% -16.2 19
2012-04-22 @ Skive W 2-0 1462 1375 43.80% 26.04% 30.17% +16.2 25
2012-04-22 Blokhus FC W 4-0 1535 1348 63.54% 22.40% 14.06% +15.5 36
2012-04-22 @ Randers L 0-4 1348 1535 14.06% 22.40% 63.54% -15.5 11
2012-04-22 FC Hjorring W 2-0 1291 1393 28.24% 25.89% 45.88% +22.4 9
2012-04-22 @ Naestved L 0-2 1393 1291 45.88% 25.89% 28.24% -22.4 20
2012-04-27 Randers D 2-2 1519 1550 37.73% 26.24% 36.03% -0.1 30
2012-04-27 @ Viborg D 2-2 1550 1519 36.03% 26.24% 37.73% +0.1 37
2012-04-28 Akademisk BK W 4-0 1371 1402 37.69% 26.24% 36.06% +35.3 23
2012-04-28 @ FC Hjorring L 0-4 1402 1371 36.06% 26.24% 37.69% -35.3 21
2012-04-28 Naestved W 1-0 1439 1314 57.44% 24.11% 18.45% +5.7 24
2012-04-28 @ Hobro L 0-1 1314 1439 18.45% 24.11% 57.44% -5.7 9
2012-04-29 Bronshoj L 0-2 1333 1437 28.05% 25.87% 46.08% -15.3 11
2012-04-29 @ Blokhus FC W 2-0 1437 1333 46.08% 25.87% 28.05% +15.3 31
2012-04-29 FC Roskilde L 0-1 1418 1378 47.35% 25.75% 26.90% -12.2 24
2012-04-29 @ Vestsjaelland W 1-0 1378 1418 26.90% 25.75% 47.35% +12.2 23
2012-04-29 Skive W 2-1 1642 1359 71.74% 19.10% 9.15% +2.6 50
2012-04-29 @ Esbjerg L 1-2 1359 1642 9.15% 19.10% 71.74% -2.6 19
2012-04-29 Vejle Boldklub Kolding D 2-2 1478 1594 26.57% 25.72% 47.71% +0.9 26
2012-04-29 @ Fredericia D 2-2 1594 1478 47.71% 25.72% 26.57% -0.9 34
2012-05-05 Esbjerg L 0-1 1593 1645 34.82% 26.23% 38.96% -9.6 34
2012-05-05 @ Vejle Boldklub Kolding W 1-0 1645 1593 38.96% 26.23% 34.82% +9.6 53
2012-05-05 Blokhus FC W 3-1 1444 1318 57.61% 24.08% 18.32% +9.2 27
2012-05-05 @ Hobro L 1-3 1318 1444 18.32% 24.08% 57.61% -9.2 11
2012-05-05 Viborg L 1-3 1452 1519 32.67% 26.17% 41.17% -14.9 31
2012-05-05 @ Bronshoj W 3-1 1519 1452 41.17% 26.17% 32.67% +14.9 33
2012-05-06 Akademisk BK W 2-1 1308 1367 33.79% 26.20% 40.01% +10.1 12
2012-05-06 @ Naestved L 1-2 1367 1308 40.01% 26.20% 33.79% -10.0 21
2012-05-06 Fredericia L 0-1 1550 1479 51.35% 25.26% 23.39% -13.1 37
2012-05-06 @ Randers W 1-0 1479 1550 23.39% 25.26% 51.35% +13.1 29
2012-05-06 Vestsjaelland D 0-0 1356 1406 35.14% 26.23% 38.62% +0.2 20
2012-05-06 @ Skive D 0-0 1406 1356 38.62% 26.23% 35.14% -0.2 25
2012-05-06 FC Hjorring L 0-1 1390 1406 39.92% 26.21% 33.87% -10.6 23
2012-05-06 @ FC Roskilde W 1-0 1406 1390 33.87% 26.21% 39.92% +10.6 26
2012-05-11 FC Roskilde W 2-1 1357 1380 38.87% 26.23% 34.90% +9.1 24
2012-05-11 @ Akademisk BK L 1-2 1380 1357 34.90% 26.23% 38.87% -9.1 23
2012-05-11 Hobro D 1-1 1534 1454 52.41% 25.10% 22.49% -1.7 34
2012-05-11 @ Viborg D 1-1 1454 1534 22.49% 25.10% 52.41% +1.7 28
2012-05-11 Randers L 0-2 1654 1537 56.57% 24.31% 19.12% -26.8 53
2012-05-11 @ Esbjerg W 2-0 1537 1654 19.12% 24.31% 56.57% +26.8 40
2012-05-13 Bronshoj L 0-5 1492 1437 49.30% 25.54% 25.16% -55.6 29
2012-05-13 @ Fredericia W 5-0 1437 1492 25.16% 25.54% 49.30% +55.6 34
2012-05-13 Naestved L 1-3 1308 1318 40.78% 26.18% 33.04% -17.7 11
2012-05-13 @ Blokhus FC W 3-1 1318 1308 33.04% 26.18% 40.78% +17.7 15
2012-05-13 Skive L 0-1 1417 1357 49.96% 25.45% 24.59% -12.8 26
2012-05-13 @ FC Hjorring W 1-0 1357 1417 24.59% 25.45% 49.96% +12.8 23
2012-05-13 Vejle Boldklub Kolding W 3-1 1405 1584 20.24% 24.61% 55.15% +22.7 28
2012-05-13 @ Vestsjaelland L 1-3 1584 1405 55.15% 24.61% 20.24% -22.7 34
2012-05-16 Esbjerg L 0-7 1291 1628 10.02% 19.83% 70.15% -18.4 11
2012-05-16 @ Blokhus FC W 7-0 1628 1291 70.15% 19.83% 10.02% +18.3 56
2012-05-19 Fredericia W 2-1 1455 1436 44.68% 25.98% 29.34% +7.9 31
2012-05-19 @ Hobro L 1-2 1436 1455 29.34% 25.98% 44.68% -7.9 29
2012-05-20 Akademisk BK D 1-1 1369 1366 42.57% 26.11% 31.33% -0.6 24
2012-05-20 @ Skive D 1-1 1366 1369 31.33% 26.11% 42.57% +0.6 25
2012-05-20 Esbjerg D 0-0 1493 1646 22.59% 25.12% 52.29% +1.9 35
2012-05-20 @ Bronshoj D 0-0 1646 1493 52.29% 25.12% 22.59% -1.9 57
2012-05-20 FC Roskilde W 1-0 1336 1371 37.13% 26.25% 36.62% +10.0 18
2012-05-20 @ Naestved L 0-1 1371 1336 36.62% 26.25% 37.13% -10.0 23
2012-05-20 FC Hjorring W 5-1 1561 1404 60.72% 23.27% 16.01% +14.7 37
2012-05-20 @ Vejle Boldklub Kolding L 1-5 1404 1561 16.01% 23.27% 60.72% -14.7 26
2012-05-20 Viborg L 1-3 1272 1532 14.08% 22.41% 63.52% -7.1 11
2012-05-20 @ Blokhus FC W 3-1 1532 1272 63.52% 22.41% 14.08% +7.1 37
2012-05-21 Vestsjaelland W 2-1 1564 1428 58.58% 23.84% 17.58% +5.1 43
2012-05-21 @ Randers L 1-2 1428 1564 17.58% 23.84% 58.58% -5.1 28
2012-05-23 Vejle Boldklub Kolding W 3-2 1369 1576 17.82% 23.92% 58.27% +13.0 27
2012-05-23 @ Skive L 2-3 1576 1369 58.27% 23.92% 17.82% -13.0 37
2012-05-23 Viborg W 4-0 1644 1540 55.18% 24.60% 20.22% +22.0 60
2012-05-23 @ Esbjerg L 0-4 1540 1644 20.22% 24.60% 55.18% -22.0 37
2012-05-25 Randers L 0-2 1389 1569 20.10% 24.57% 55.33% -11.5 26
2012-05-25 @ FC Hjorring W 2-0 1569 1389 55.33% 24.57% 20.10% +11.5 46
2012-05-27 Bronshoj W 3-1 1423 1494 32.11% 26.14% 41.75% +18.0 31
2012-05-27 @ Vestsjaelland L 1-3 1494 1423 41.75% 26.14% 32.11% -18.0 35
2012-05-27 Hobro W 1-0 1666 1463 65.07% 21.87% 13.06% +4.0 63
2012-05-27 @ Esbjerg L 0-1 1463 1666 13.06% 21.87% 65.07% -4.0 31
2012-05-27 Blokhus FC W 3-0 1428 1265 61.31% 23.10% 15.60% +13.2 32
2012-05-27 @ Fredericia L 0-3 1265 1428 15.60% 23.10% 61.31% -13.2 11
2012-05-27 Naestved W 2-0 1518 1346 62.18% 22.83% 14.98% +8.7 40
2012-05-27 @ Viborg L 0-2 1346 1518 14.98% 22.83% 62.18% -8.7 18
2012-05-27 Skive L 0-1 1361 1382 39.16% 26.22% 34.61% -10.5 23
2012-05-27 @ FC Roskilde W 1-0 1382 1361 34.61% 26.22% 39.16% +10.5 30
2012-05-28 Vejle Boldklub Kolding L 0-2 1366 1563 18.69% 24.19% 57.12% -10.8 25
2012-05-28 @ Akademisk BK W 2-0 1563 1366 57.12% 24.19% 18.69% +10.8 40
2012-06-01 Akademisk BK W 3-1 1581 1356 67.01% 21.14% 11.84% +5.9 49
2012-06-01 @ Randers L 1-3 1356 1581 11.84% 21.14% 67.01% -5.9 25
2012-06-01 Fredericia L 0-3 1526 1441 52.92% 25.02% 22.07% -36.7 40
2012-06-01 @ Viborg W 3-0 1441 1526 22.07% 25.02% 52.92% +36.7 35
2012-06-02 FC Roskilde D 2-2 1574 1350 66.85% 21.20% 11.94% -2.5 41
2012-06-02 @ Vejle Boldklub Kolding D 2-2 1350 1574 11.94% 21.20% 66.85% +2.5 24
2012-06-02 Skive D 2-2 1337 1392 34.28% 26.22% 39.51% +0.2 19
2012-06-02 @ Naestved D 2-2 1392 1337 39.51% 26.22% 34.28% -0.2 31
2012-06-02 Vestsjaelland D 2-2 1459 1441 44.57% 25.99% 29.45% -0.6 32
2012-06-02 @ Hobro D 2-2 1441 1459 29.45% 25.99% 44.57% +0.6 32
2012-06-02 FC Hjorring D 2-2 1476 1378 54.52% 24.73% 20.75% -1.4 36
2012-06-02 @ Bronshoj D 2-2 1378 1476 20.75% 24.73% 54.52% +1.4 27
2012-06-05 Bronshoj D 2-2 1350 1475 25.56% 25.59% 48.85% +1.0 26
2012-06-05 @ Akademisk BK D 2-2 1475 1350 48.85% 25.59% 25.56% -1.0 37
2012-06-05 Fredericia W 1-0 1337 1478 23.85% 25.34% 50.81% +12.9 22
2012-06-05 @ Naestved L 0-1 1478 1337 50.81% 25.34% 23.85% -12.9 35
2012-06-05 Hobro D 0-0 1379 1459 31.07% 26.09% 42.84% +0.7 28
2012-06-05 @ FC Hjorring D 0-0 1459 1379 42.84% 26.09% 31.07% -0.7 33
2012-06-05 Blokhus FC W 5-1 1442 1252 63.83% 22.30% 13.87% +12.8 35
2012-06-05 @ Vestsjaelland L 1-5 1252 1442 13.87% 22.30% 63.83% -12.8 11
2012-06-05 Randers W 1-0 1353 1587 15.81% 23.19% 61.00% +15.2 27
2012-06-05 @ FC Roskilde L 0-1 1587 1353 61.00% 23.19% 15.81% -15.2 49
2012-06-08 Esbjerg L 0-1 1465 1670 17.98% 23.97% 58.05% -5.5 35
2012-06-08 @ Fredericia W 1-0 1670 1465 58.05% 23.97% 17.98% +5.5 66
2012-06-10 Akademisk BK L 1-3 1458 1351 55.47% 24.54% 19.99% -22.8 33
2012-06-10 @ Hobro W 3-1 1351 1458 19.99% 24.54% 55.47% +22.8 29
2012-06-10 FC Roskilde W 2-1 1474 1368 55.35% 24.57% 20.08% +5.8 40
2012-06-10 @ Bronshoj L 1-2 1368 1474 20.08% 24.57% 55.35% -5.8 27
2012-06-10 Naestved W 4-3 1571 1350 66.67% 21.27% 12.05% +3.2 44
2012-06-10 @ Vejle Boldklub Kolding L 3-4 1350 1571 12.05% 21.27% 66.67% -3.2 22
2012-06-10 Skive L 0-3 1571 1392 62.89% 22.61% 14.50% -42.6 49
2012-06-10 @ Randers W 3-0 1392 1571 14.50% 22.61% 62.89% +42.6 34
2012-06-10 Vestsjaelland L 1-2 1490 1454 46.80% 25.80% 27.39% -11.4 40
2012-06-10 @ Viborg W 2-1 1454 1490 27.39% 25.80% 46.80% +11.4 38
2012-06-10 FC Hjorring L 0-3 1239 1380 23.92% 25.35% 50.74% -19.5 11
2012-06-10 @ Blokhus FC W 3-0 1380 1239 50.74% 25.35% 23.92% +19.5 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
Team Elo Score Team Elo Score
1 2012-06-10 14.50% Skive 1392 3 @ Randers 1571 0
2 2012-06-05 15.81% @ FC Roskilde 1353 1 Randers 1587 0
3 2012-04-09 16.90% Bronshoj 1417 1 @ Randers 1562 0
4 2012-05-23 17.82% @ Skive 1369 3 Vejle Boldklub Kolding 1576 2
5 2012-04-15 18.36% FC Roskilde 1359 3 @ Fredericia 1485 1
6 2012-05-11 19.12% Randers 1537 2 @ Esbjerg 1654 0
7 2012-06-10 19.99% Akademisk BK 1351 3 @ Hobro 1458 1
8 2012-04-05 20.12% @ Bronshoj 1404 2 Vejle Boldklub Kolding 1584 1
9 2012-05-13 20.24% @ Vestsjaelland 1405 3 Vejle Boldklub Kolding 1584 1
10 2012-04-15 20.66% FC Hjorring 1355 3 @ Vestsjaelland 1455 0
11 2011-09-11 20.96% Skive 1389 1 @ Fredericia 1485 0
12 2012-06-01 22.07% Fredericia 1441 3 @ Viborg 1526 0
13 2012-05-06 23.39% Fredericia 1479 1 @ Randers 1550 0
14 2011-11-13 23.50% Blokhus FC 1360 4 @ Akademisk BK 1430 2
15 2012-06-05 23.85% @ Naestved 1337 1 Fredericia 1478 0
16 2012-05-13 24.59% Skive 1357 1 @ FC Hjorring 1417 0
17 2011-09-18 25.11% FC Hjorring 1377 3 @ Akademisk BK 1432 1
18 2012-05-13 25.16% Bronshoj 1437 5 @ Fredericia 1492 0
19 2012-04-15 26.00% @ Hobro 1426 1 Randers 1547 0
20 2012-04-29 26.90% FC Roskilde 1378 1 @ Vestsjaelland 1418 0
21 2012-06-10 27.39% Vestsjaelland 1454 2 @ Viborg 1490 1
22 2011-09-04 27.61% @ FC Hjorring 1348 1 Vestsjaelland 1456 0
23 2012-04-22 28.24% @ Naestved 1291 2 FC Hjorring 1393 0
24 2011-08-21 28.58% @ Naestved 1429 1 Randers 1528 0
25 2011-08-21 29.02% Hobro 1417 6 @ Skive 1439 1

Biggest Elo Changes

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

# Date Elo Δ Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2012-05-13 55.63 Bronshoj 5 1437 25.16% @ Fredericia 0 1492 49.30% 25.54%
2 2011-08-21 42.72 Hobro 6 1417 29.02% @ Skive 1 1439 45.02% 25.95%
3 2012-06-10 42.64 Skive 3 1392 14.50% @ Randers 0 1571 62.89% 22.61%
4 2012-04-15 37.73 FC Hjorring 3 1355 20.66% @ Vestsjaelland 0 1455 54.63% 24.71%
5 2012-06-01 36.70 Fredericia 3 1441 22.07% @ Viborg 0 1526 52.92% 25.02%
6 2012-04-28 35.28 @ FC Hjorring 4 1371 37.69% Akademisk BK 0 1402 36.06% 26.24%
7 2011-08-21 32.55 @ Vejle Boldklub Kolding 4 1434 41.43% Bronshoj 0 1439 32.41% 26.16%
8 2011-10-29 30.83 @ Hobro 4 1421 43.74% FC Hjorring 0 1409 30.22% 26.04%
9 2011-08-12 30.53 @ Viborg 4 1429 44.15% FC Hjorring 0 1413 29.83% 26.01%
10 2011-09-14 30.44 @ Vejle Boldklub Kolding 5 1492 51.76% Blokhus FC 0 1417 23.04% 25.20%
11 2012-04-09 29.17 Viborg 4 1491 45.94% @ FC Roskilde 0 1388 28.18% 25.88%
12 2011-08-21 28.62 @ FC Roskilde 5 1423 38.98% Blokhus FC 1 1445 34.79% 26.23%
13 2011-08-28 27.82 @ Vestsjaelland 5 1428 40.30% Naestved 1 1441 33.50% 26.20%
14 2011-11-20 26.82 @ Vejle Boldklub Kolding 3 1557 38.03% Randers 0 1586 35.73% 26.24%
15 2012-05-11 26.78 Randers 2 1537 19.12% @ Esbjerg 0 1654 56.57% 24.31%
16 2011-11-13 26.31 @ Skive 4 1346 30.39% Bronshoj 1 1430 43.55% 26.05%
17 2011-09-18 26.28 Esbjerg 4 1535 49.71% @ Skive 0 1402 24.81% 25.49%
18 2011-08-27 25.17 Vejle Boldklub Kolding 4 1466 32.64% @ Hobro 1 1460 41.19% 26.17%
19 2012-04-15 23.54 FC Roskilde 3 1359 18.36% @ Fredericia 1 1485 57.55% 24.09%
20 2012-06-10 22.80 Akademisk BK 3 1351 19.99% @ Hobro 1 1458 55.47% 24.54%
21 2012-05-13 22.68 @ Vestsjaelland 3 1405 20.24% Vejle Boldklub Kolding 1 1584 55.15% 24.61%
22 2012-04-22 22.41 @ Naestved 2 1291 28.24% FC Hjorring 0 1393 45.88% 25.89%
23 2012-05-23 22.01 @ Esbjerg 4 1644 55.18% Viborg 0 1540 20.22% 24.60%
24 2011-10-23 21.96 Vejle Boldklub Kolding 3 1524 46.58% @ FC Roskilde 0 1417 27.60% 25.83%
25 2011-09-23 21.83 @ Akademisk BK 3 1411 46.80% Naestved 0 1376 27.39% 25.80%