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2013-14 Luxembourg National Division Season

182 games

Final

Champion

F91 Dudelange

61 points

Relegated

No relegation

Biggest Overachiever

F91 Dudelange

7.96 points above expected

61 points · 53.04 expected points

Biggest Disappointment

RM Hamm Benfica

13.36 points below expected

24 points · 37.36 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 F91 Dudelange 26 19 4 3 61 64 21 +43 53.04 +7.96
2 Fola Esch 26 18 5 3 59 53 19 +34 52.90 +6.10
3 Differdange 03 26 17 0 9 51 53 23 +30 46.43 +4.57
4 Jeunesse Esch 26 11 10 5 43 47 35 +12 42.63 +0.37
5 Progres Niedercorn 26 11 9 6 42 33 26 +7 36.70 +5.30
6 Etzella Ettelbruck 26 9 5 12 32 44 46 -2 30.59 +1.41
7 UN Kaerjeng 26 9 5 12 32 32 34 -2 35.32 -3.32
8 Grevenmacher 26 8 8 10 32 27 34 -7 37.62 -5.62
9 Wiltz 71 26 9 4 13 31 40 53 -13 28.80 +2.20
10 Jeunesse Canach 26 8 6 12 30 27 42 -15 29.62 +0.38
11 Rumelange 26 6 10 10 28 25 36 -11 24.09 +3.91
12 RM Hamm Benfica 26 6 6 14 24 31 46 -15 37.36 -13.36
13 Swift Hesperange 26 4 8 14 20 22 51 -29 23.39 -3.39
14 Racing FC Union Luxembourg 26 4 6 16 18 22 54 -32 26.60 -8.60

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 F91 Dudelange 61 53.04 +7.96
2 Fola Esch 59 52.90 +6.10
3 Progres Niedercorn 42 36.70 +5.30
4 Differdange 03 51 46.43 +4.57
5 Rumelange 28 24.09 +3.91

Biggest Disappointments

# Team Actual Sim vsSim
1 RM Hamm Benfica 24 37.36 -13.36
2 Racing FC Union Luxembourg 18 26.60 -8.60
3 Grevenmacher 32 37.62 -5.62
4 Swift Hesperange 20 23.39 -3.39
5 UN Kaerjeng 32 35.32 -3.32

Top Streaks

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

Most Unlikely Winning Streaks

# Team Games Dates Probability
1 Progres Niedercorn 5 Aug 10 – Sep 22 1 in 572
2 Wiltz 71 4 Oct 3 – Nov 3 1 in 174
3 Fola Esch 8 Feb 23 – Apr 19 1 in 32
4 Differdange 03 6 Mar 16 – Apr 19 1 in 26
5 Jeunesse Esch 4 Apr 19 – May 4 1 in 23

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 RM Hamm Benfica 6 Mar 30 – May 1 1 in 164
2 Differdange 03 3 Apr 27 – May 4 1 in 34
3 Etzella Ettelbruck 4 Mar 9 – Mar 30 1 in 25
4 Swift Hesperange 5 Sep 15 – Oct 20 1 in 19
5 UN Kaerjeng 3 Nov 10 – Feb 23 1 in 18

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Rumelange 5 Sep 22 – Oct 26 1 in 93
2 Fola Esch 20 Aug 10 – Apr 19 1 in 57
3 Progres Niedercorn 7 Aug 3 – Sep 29 1 in 57
4 Racing FC Union Luxembourg 4 Nov 10 – Mar 9 1 in 20
5 Jeunesse Esch 7 Mar 30 – May 4 1 in 15

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Grevenmacher 9 Aug 10 – Oct 27 1 in 139
2 RM Hamm Benfica 8 Aug 3 – Oct 3 1 in 127
3 Racing FC Union Luxembourg 14 Aug 10 – Feb 23 1 in 127
4 Progres Niedercorn 8 Nov 3 – Mar 29 1 in 79
5 F91 Dudelange 2 Nov 10 – Nov 24 1 in 11

Position Race

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

Recent Form

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

Team Elo Season Pts Form Elo Δ (5) Points (5) Expected (5) Actual − Exp
F91 Dudelange 1514 61 +26 12 9.9 +2.1
Fola Esch 1492 59 -15 7 10.2 -3.2
Differdange 03 1428 51 -6 6 9.1 -3.1
Jeunesse Esch 1371 43 +16 12 7.9 +4.1
Progres Niedercorn 1308 42 +23 11 8.6 +2.4
Etzella Ettelbruck 1229 32 +29 11 6.9 +4.1
Grevenmacher 1276 32 +7 7 6.6 +0.4
UN Kaerjeng 1251 32 -12 4 6.8 -2.8
Wiltz 71 1197 31 -22 4 6.1 -2.1
Jeunesse Canach 1231 30 +32 12 4.7 +7.3
Rumelange 1143 28 +7 7 4.7 +2.3
RM Hamm Benfica 1256 24 -10 4 6.6 -2.6
Swift Hesperange 1136 20 -40 2 5.1 -3.1
Racing FC Union Luxembourg 1155 18 -34 0 3.9 -3.9

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 D0 EE FD FE GRE JC JE PN RHB RFUL RUM SH UK W7
Differdange 03 —
2-0-0
4.00
0-0-2
2.23
0-0-2
2.32
1-0-1
3.76
2-0-0
3.78
1-0-1
3.16
1-0-1
3.59
2-0-0
3.60
2-0-0
4.08
1-0-1
4.44
2-0-0
4.34
2-0-0
3.56
1-0-1
4.17
Etzella Ettelbruck
0-0-2
1.56
 —
0-0-2
1.37
0-0-2
1.24
0-1-1
2.26
2-0-0
2.52
1-1-0
1.91
0-2-0
2.12
0-1-1
2.34
1-0-1
3.05
2-0-0
3.30
1-0-1
3.16
0-0-2
2.41
2-0-0
2.81
F91 Dudelange
2-0-0
3.28
2-0-0
4.21
 —
2-0-0
2.71
2-0-0
4.13
0-0-2
4.53
0-2-0
3.69
1-0-1
3.98
2-0-0
3.84
1-1-0
4.72
2-0-0
4.60
2-0-0
4.63
1-1-0
3.93
2-0-0
4.43
Fola Esch
2-0-0
3.19
2-0-0
4.37
0-0-2
2.79
 —
2-0-0
3.73
1-1-0
4.21
1-1-0
3.75
2-0-0
4.05
2-0-0
4.13
1-1-0
4.44
0-1-1
4.83
2-0-0
4.57
2-0-0
3.96
1-1-0
4.49
Grevenmacher
1-0-1
1.78
1-1-0
3.26
0-0-2
1.45
0-0-2
1.82
 —
1-0-1
3.21
0-1-1
2.24
0-1-1
2.85
1-1-0
2.68
1-1-0
3.63
1-1-0
3.75
1-1-0
3.56
0-1-1
2.95
1-0-1
3.40
Jeunesse Canach
0-0-2
1.76
0-0-2
2.98
2-0-0
1.10
0-1-1
1.37
1-0-1
2.30
 —
0-1-1
1.79
1-0-1
2.15
1-0-1
2.31
1-0-1
3.13
0-2-0
3.37
1-1-0
3.21
0-1-1
2.40
1-0-1
2.75
Jeunesse Esch
1-0-1
2.34
0-1-1
3.62
0-2-0
1.84
0-1-1
1.78
1-1-0
3.27
1-1-0
3.75
 —
1-0-1
3.20
0-1-1
3.05
2-0-0
4.03
1-1-0
4.06
1-1-0
4.05
1-1-0
3.48
2-0-0
3.62
Progres Niedercorn
1-0-1
1.93
0-2-0
3.39
1-0-1
1.58
0-0-2
1.52
1-1-0
2.65
1-0-1
3.36
1-0-1
2.30
 —
1-1-0
2.56
1-1-0
3.67
1-1-0
3.91
0-2-0
3.78
2-0-0
2.78
1-1-0
3.31
RM Hamm Benfica
0-0-2
1.92
1-1-0
3.17
0-0-2
1.70
0-0-2
1.45
0-1-1
2.82
1-0-1
3.20
1-1-0
2.45
0-1-1
2.95
 —
1-0-1
3.52
0-0-2
4.08
0-1-1
3.78
2-0-0
2.70
0-1-1
3.56
Racing FC Union Luxembourg
0-0-2
1.51
1-0-1
2.46
0-1-1
0.95
0-1-1
1.19
0-1-1
1.90
1-0-1
2.37
0-0-2
1.54
0-1-1
1.87
1-0-1
2.00
 —
1-1-0
2.93
0-1-1
3.04
0-0-2
2.13
0-0-2
2.48
Rumelange
1-0-1
1.18
0-0-2
2.21
0-0-2
1.04
1-1-0
0.86
0-1-1
1.79
0-2-0
2.14
0-1-1
1.50
0-1-1
1.64
2-0-0
1.49
0-1-1
2.57
 —
1-1-0
2.47
0-1-1
1.83
1-1-0
2.34
Swift Hesperange
0-0-2
1.26
1-0-1
2.34
0-0-2
1.02
0-0-2
1.08
0-1-1
1.96
0-1-1
2.30
0-1-1
1.51
0-2-0
1.76
1-1-0
1.75
1-1-0
2.46
0-1-1
3.04
 —
1-0-1
1.86
0-0-2
2.55
UN Kaerjeng
0-0-2
1.96
2-0-0
3.10
0-1-1
1.62
0-0-2
1.60
1-1-0
2.55
1-1-0
3.11
0-1-1
2.04
0-0-2
2.73
0-0-2
2.80
2-0-0
3.39
1-1-0
3.70
1-0-1
3.67
 —
1-0-1
3.14
Wiltz 71
1-0-1
1.41
0-0-2
2.69
0-0-2
1.18
0-1-1
1.13
1-0-1
2.12
1-0-1
2.75
0-0-2
1.91
0-1-1
2.20
1-1-0
1.96
2-0-0
3.03
0-1-1
3.18
2-0-0
2.95
1-0-1
2.36
 —

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 0.81 +9.2
Allowed 0.79 -10.0
Differential 0.97 +5.8

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
05.49%7.14%8.79%4.95%1.65%1.65%29.67%
17.14%12.09%6.04%3.02%1.65%0.55%30.49%
28.79%6.04%3.85%1.10%0.82%—20.60%
34.95%3.02%1.10%1.10%0.27%0.55%10.99%
41.65%1.65%0.82%0.27%1.10%—5.49%
5+1.65%0.55%—0.55%——2.75%
Total29.67%30.49%20.60%10.99%5.49%2.75%100%

Summary Statistics

Scored Allowed Difference
Mean 1.43 1.43 +0.00
SD 1.40 1.40 2.13
CV 0.98 0.98 —
Max 8 8 +7
Min 0 0 -7

Games Played: 182

↓ Scored | Allowed →012345+Total
0—11.54%3.85%3.85%——19.23%
111.54%—11.54%———23.08%
211.54%7.69%——3.85%—23.08%
315.38%3.85%————19.23%
43.85%—3.85%———7.69%
5+7.69%—————7.69%
Total50.00%23.08%19.23%3.85%3.85%—100%

Summary Statistics

Scored Allowed Difference
Mean 2.04 0.88 +1.15
SD 1.71 1.11 2.36
CV 0.84 1.25 —
Max 7 4 +7
Min 0 0 -3

Games Played: 26

↓ Scored | Allowed →012345+Total
07.69%3.85%3.85%15.38%——30.77%
13.85%3.85%3.85%7.69%7.69%—26.92%
23.85%3.85%7.69%3.85%——19.23%
33.85%7.69%————11.54%
4———————
5+3.85%3.85%—3.85%——11.54%
Total23.08%23.08%15.38%30.77%7.69%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.69 1.77 -0.08
SD 1.93 1.34 2.51
CV 1.14 0.76 —
Max 8 4 +5
Min 0 0 -3

Games Played: 26

↓ Scored | Allowed →012345+Total
03.85%—3.85%———7.69%
13.85%7.69%3.85%———15.38%
215.38%15.38%3.85%———34.62%
315.38%3.85%3.85%—3.85%—26.92%
4—3.85%————3.85%
5+7.69%3.85%————11.54%
Total46.15%34.62%15.38%—3.85%—100%

Summary Statistics

Scored Allowed Difference
Mean 2.46 0.81 +1.65
SD 1.56 0.98 1.92
CV 0.63 1.21 —
Max 7 4 +6
Min 0 0 -2

Games Played: 26

↓ Scored | Allowed →012345+Total
03.85%3.85%—3.85%——11.54%
17.69%11.54%3.85%———23.08%
215.38%11.54%————26.92%
315.38%3.85%3.85%3.85%——26.92%
47.69%3.85%————11.54%
5+———————
Total50.00%34.62%7.69%7.69%——100%

Summary Statistics

Scored Allowed Difference
Mean 2.04 0.73 +1.31
SD 1.22 0.92 1.67
CV 0.60 1.26 —
Max 4 3 +4
Min 0 0 -3

Games Played: 26

↓ Scored | Allowed →012345+Total
011.54%7.69%15.38%—3.85%—38.46%
111.54%11.54%7.69%—3.85%—34.62%
27.69%3.85%3.85%———15.38%
3——3.85%3.85%——7.69%
4—3.85%————3.85%
5+———————
Total30.77%26.92%30.77%3.85%7.69%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.04 1.31 -0.27
SD 1.11 1.19 1.61
CV 1.07 0.91 —
Max 4 4 +3
Min 0 0 -4

Games Played: 26

↓ Scored | Allowed →012345+Total
0—7.69%15.38%7.69%—3.85%34.62%
17.69%15.38%3.85%7.69%——34.62%
211.54%7.69%7.69%———26.92%
3———————
4———3.85%——3.85%
5+———————
Total19.23%30.77%26.92%19.23%—3.85%100%

Summary Statistics

Scored Allowed Difference
Mean 1.04 1.62 -0.58
SD 1.00 1.24 1.77
CV 0.96 0.76 —
Max 4 5 +2
Min 0 0 -5

Games Played: 26

↓ Scored | Allowed →012345+Total
07.69%7.69%——3.85%—19.23%
17.69%15.38%3.85%—3.85%—30.77%
23.85%7.69%11.54%———23.08%
33.85%7.69%————11.54%
4—7.69%——3.85%—11.54%
5+———3.85%——3.85%
Total23.08%46.15%15.38%3.85%11.54%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.81 1.35 +0.46
SD 1.52 1.23 1.73
CV 0.84 0.91 —
Max 6 4 +3
Min 0 0 -4

Games Played: 26

↓ Scored | Allowed →012345+Total
07.69%—7.69%3.85%3.85%—23.08%
119.23%23.08%3.85%———46.15%
27.69%3.85%3.85%—3.85%—19.23%
33.85%—————3.85%
47.69%—————7.69%
5+———————
Total46.15%26.92%15.38%3.85%7.69%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.27 1.00 +0.27
SD 1.12 1.23 1.91
CV 0.88 1.23 —
Max 4 4 +4
Min 0 0 -4

Games Played: 26

↓ Scored | Allowed →012345+Total
0—15.38%7.69%7.69%—3.85%34.62%
1—15.38%7.69%3.85%——26.92%
27.69%7.69%3.85%3.85%3.85%—26.92%
33.85%3.85%————7.69%
4————3.85%—3.85%
5+———————
Total11.54%42.31%19.23%15.38%7.69%3.85%100%

Summary Statistics

Scored Allowed Difference
Mean 1.19 1.77 -0.58
SD 1.13 1.31 1.79
CV 0.95 0.74 —
Max 4 5 +3
Min 0 0 -5

Games Played: 26

↓ Scored | Allowed →012345+Total
015.38%7.69%11.54%3.85%—7.69%46.15%
1—7.69%11.54%7.69%3.85%3.85%34.62%
23.85%7.69%————11.54%
3—————3.85%3.85%
4—3.85%————3.85%
5+———————
Total19.23%26.92%23.08%11.54%3.85%15.38%100%

Summary Statistics

Scored Allowed Difference
Mean 0.85 2.08 -1.23
SD 1.05 1.83 2.05
CV 1.24 0.88 —
Max 4 6 +3
Min 0 0 -6

Games Played: 26

↓ Scored | Allowed →012345+Total
07.69%11.54%7.69%7.69%3.85%—38.46%
115.38%23.08%3.85%———42.31%
23.85%—3.85%3.85%——11.54%
3———————
4——3.85%—3.85%—7.69%
5+———————
Total26.92%34.62%19.23%11.54%7.69%—100%

Summary Statistics

Scored Allowed Difference
Mean 0.96 1.38 -0.42
SD 1.11 1.24 1.47
CV 1.16 0.89 —
Max 4 4 +2
Min 0 0 -4

Games Played: 26

↓ Scored | Allowed →012345+Total
03.85%3.85%23.08%11.54%—7.69%50.00%
13.85%15.38%—7.69%——26.92%
27.69%—7.69%———15.38%
3———3.85%——3.85%
43.85%—————3.85%
5+———————
Total19.23%19.23%30.77%23.08%—7.69%100%

Summary Statistics

Scored Allowed Difference
Mean 0.85 1.96 -1.12
SD 1.08 1.61 2.25
CV 1.28 0.82 —
Max 4 7 +4
Min 0 0 -7

Games Played: 26

↓ Scored | Allowed →012345+Total
07.69%3.85%15.38%3.85%7.69%—38.46%
17.69%11.54%11.54%———30.77%
27.69%——3.85%——11.54%
37.69%7.69%————15.38%
4———————
5+3.85%—————3.85%
Total34.62%23.08%26.92%7.69%7.69%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.23 1.31 -0.08
SD 1.45 1.26 2.31
CV 1.18 0.96 —
Max 6 4 +6
Min 0 0 -4

Games Played: 26

↓ Scored | Allowed →012345+Total
0—15.38%7.69%———23.08%
1—7.69%7.69%7.69%3.85%3.85%30.77%
215.38%7.69%————23.08%
3—3.85%3.85%3.85%—3.85%15.38%
4——3.85%—3.85%—7.69%
5+———————
Total15.38%34.62%23.08%11.54%7.69%7.69%100%

Summary Statistics

Scored Allowed Difference
Mean 1.54 2.04 -0.50
SD 1.24 1.97 2.12
CV 0.81 0.97 —
Max 4 8 +2
Min 0 0 -6

Games Played: 26

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
F91 Dudelange 1514 61 53.04 +7.96 96.0% 41 44 49 54 56 61 65
Fola Esch 1492 59 52.90 +6.10 84.0% 41 44 47 53 57 63 70
Differdange 03 1428 51 46.43 +4.57 73.0% 26 34 42 46 52 57 63
Jeunesse Esch 1371 43 42.63 +0.37 58.0% 26 32 38 42 47 53 56
Progres Niedercorn 1308 42 36.70 +5.30 83.0% 16 24 32 37 41 47 53
Grevenmacher 1276 32 37.62 -5.62 20.0% 19 28 33 37 41 49 58
RM Hamm Benfica 1256 24 37.36 -13.36 2.0% 23 28 33 37 42 49 55
UN Kaerjeng 1251 32 35.32 -3.32 33.0% 20 23 31 35 41 45 48
Jeunesse Canach 1231 30 29.62 +0.38 58.0% 13 18 26 29 33 42 47
Etzella Ettelbruck 1229 32 30.59 +1.41 56.0% 13 17 26 31 35 41 44
Wiltz 71 1197 31 28.80 +2.20 71.0% 16 20 25 28 32 39 42
Racing FC Union Luxembourg 1155 18 26.60 -8.60 12.0% 13 15 23 27 31 35 47
Rumelange 1143 28 24.09 +3.91 75.0% 8 13 19 24 28 35 43
Swift Hesperange 1136 20 23.39 -3.39 30.0% 11 13 20 23 27 32 45

Point 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).

Home-Field Advantage Edge

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

Season Trends

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

Edges & Scoring

How these are measured

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

Home Edge
Share of matches won by the home team minus the share won by the away team.
No Edge: under 7% * Slight Edge: 7% to 11.5% * Clear Edge: 11.5% to 16.5% * Strong Edge: 16.5% and up.
Elo Value
Number of Elo rating points one goal is worth. A team this many Elo points better than another is expected to win by one goal on a neutral field.
Scoring Tilt
Average home goals minus average away goals per match. The gold line is the home goals edge implied by the scoring value of an Elo point and the home-field Elo bonus.
Road-Tilted: under -0.2 * Neutral: -0.2 to 0.5 * Home-Tilted: 0.5 to 1.2 * Strong Home: 1.2 and up.
Home Edge
HomeDrawAway
+8.24%
Slight Edge
42.31%23.63%34.07%
Elo Value
Home Edge: 28.70 Elo pts.
156 Elo
0.006 goals per Elo point
0400
Scoring Tilt
Expected
+0.25 goals
Neutral
-2+0.18+2

Title Race

How these are measured

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

Title-Race Openness
Effective number of teams with a live shot at finishing 1st, from the simulation. 1 means the favorite is a near-lock; larger means a wide-open race. Equal to 1 divided by the sum of squared title odds.
One-Team Race: under 2 * Top-Heavy: 2 to 3 * Open: 3 to 4 * Wide Open: 4 and up.
Champion Preseason Odds
Preseason probability that the eventual champion would finish 1st, from the simulation. The dot marks their rank across all teams, from longshot to favorite.
Preseason Favorite: 1st * Among the Favorites: 2nd 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 0.05 * Tight Race: 0.05 to 0.17 * Comfortable: 0.17 to 0.27 * Runaway: 0.27 and up.
Title-Race Openness
2.9
Top-Heavy
123410
Champion Preseason Odds
40%
F91 Dudelange, 2nd of 14
LongshotFavorite
Title Margin
Expected
0.08/gm
Tight Race
00.190.5/gm

Simulation-Based Surprises

How these are measured

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

Luck Spread
Standard deviation of the gap between each team's actual points and their simulated average points. The gold line is the spread the model expected from chance alone.
As Expected: under 5.14 * Some Luck: 5.14 to 7.71 * Lucky: 7.71 to 10.28 * Wild Swing: 10.28 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 1.47 * Close: 1.47 to 2.2 * Off: 2.2 to 2.93 * Way Off: 2.93 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.
Luck Spread
Expected
5.84 points
Some Luck
06.4316
Average Finish Error
Expected
1.57
Close
01.834
Biggest Overachiever
Expected 96.43%
96.00%
F91 Dudelange
50100
Biggest Underachiever
Expected 3.57%
2.00%
RM Hamm Benfica
050
Season Outliers
Expected
2 of 14
Minimal Outliers
01.47

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 0.17 * Even: 0.17 to 0.19 * Top-Heavy: 0.19 to 0.21 * Lopsided: 0.21 and up.
Noll-Scully
Take a league where every match is a coin flip and nobody is better than anybody. You would still get a table, with a leader and a bottom club, purely by luck, and you can work out how far apart that table would be. This is the real table measured against it. At 1.00 the season was no more spread out than pure chance; at 2.00 it was twice as spread out, which takes genuine differences in quality. Dividing by the luck figure is what makes seasons of different lengths comparable, because a short season spreads a table by luck alone far more than a long one does. Elo SD in the corner is the same question in rating points: how far apart the teams finished on the ratings.
Coin-Flip Parity: under 1.65 * Moderate Separation: 1.65 to 1.85 * Strong Separation: 1.85 to 2.05 * Wide Separation: 2.05 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 68% * Slight Edge: 68% to 72.5% * Clear Edge: 72.5% to 78% * Wide Edge: 78% 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 89.5% * Clear Edge: 89.5% to 92% * Strong Edge: 92% to 95% * Dominant: 95% and up.
Close Games
Share of matches decided by 1 goal or fewer, draws included. The gold line is how many close games the matchups and the scoring value of an Elo point predict.
Few: under 49% * Some Drama: 49% to 53% * Frequent: 53% to 56% * Very Frequent: 56% 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 23% * Occasional: 23% to 26% * Frequent: 26% to 28% * Very Frequent: 28% and up.
Gini Index
0.20
Top-Heavy
00.170.5
Noll-Scully
Elo SD: 123.64
1.99
Strong Separation
11.651.852.052.5
Interquartile Edge
70%
Slight Edge
50%68%78%100%
Best vs. Worst
Baseline 93%
90%
Clear Edge
50%100%
Close Games
Expected
53%
Some Drama
0%52%100%
Blowouts
Expected
22%
Rare
0%24%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 0.35 * Slight Separation: 0.35 to 0.39 * Notable Separation: 0.39 to 0.44 * Lopsided: 0.44 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 0.43 * Some Carryover: 0.43 to 0.62 * Strong Carryover: 0.62 to 0.73 * Near-Lock: 0.73 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 21.5% * As Expected: 21.5% to 24% * Upset-Prone: 24% to 26.5% * Very Upset-Prone: 26.5% 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 18% * As Expected: 18% to 20.5% * Shaky Favorites: 20.5% to 23.5% * Very Shaky: 23.5% and up.
Brier Score
Expected
0.59
Predictable
00.592
Matchup Imbalance
0.36
Slight Separation
00.350.5
Strangeness
Expected
0.91
As Expected
01.002
Repeatability
0.68
Strong Carryover
00.430.621
Upset Rate
Expected
21%
Chalky
0%24%50%
Clear Favorite Upset Rate
Expected
17%
Solid Favorites
0%20%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
0.24
Well Calibrated
0.010.050.10.51
Calibration slope
Ideal
1.06
Calibrated
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.059
Well Within Noise
00.1240.3

Final Table Odds

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
F91 Dudelange40.00%39.00%14.00%5.00%2.00%—————————
Fola Esch41.00%31.00%13.00%12.00%2.00%1.00%————————
Differdange 0311.00%17.00%30.00%18.00%4.00%7.00%7.00%2.00%2.00%———2.00%—
Jeunesse Esch3.00%9.00%19.00%16.00%22.00%11.00%8.00%6.00%3.00%1.00%2.00%———
Progres Niedercorn1.00%1.00%6.00%10.00%16.00%18.00%10.00%12.00%5.00%11.00%4.00%2.00%2.00%2.00%
Etzella Ettelbruck——1.00%2.00%5.00%5.00%17.00%15.00%9.00%15.00%11.00%5.00%9.00%6.00%
UN Kaerjeng——6.00%8.00%12.00%18.00%8.00%11.00%13.00%5.00%7.00%8.00%2.00%2.00%
Grevenmacher3.00%1.00%6.00%14.00%11.00%14.00%13.00%15.00%12.00%4.00%4.00%2.00%—1.00%
Wiltz 71———1.00%3.00%2.00%11.00%9.00%9.00%14.00%12.00%15.00%20.00%4.00%
Jeunesse Canach——1.00%2.00%4.00%7.00%5.00%7.00%16.00%14.00%13.00%14.00%8.00%9.00%
Rumelange————2.00%2.00%1.00%6.00%6.00%6.00%11.00%17.00%18.00%31.00%
RM Hamm Benfica1.00%2.00%4.00%11.00%15.00%12.00%16.00%12.00%11.00%9.00%5.00%1.00%1.00%—
Swift Hesperange————1.00%1.00%1.00%1.00%3.00%6.00%13.00%19.00%26.00%29.00%
Racing FC Union Luxembourg———1.00%1.00%2.00%3.00%4.00%11.00%15.00%18.00%17.00%12.00%16.00%

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.

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 Qualified for relegation playoff Direct relegation
F91 Dudelange 100% — —
Fola Esch 100% — —
Jeunesse Esch 100% — —
Grevenmacher 97.00% 2.00% 1.00%
RM Hamm Benfica 98.00% 1.00% 1.00%
Differdange 03 98.00% — 2.00%
Progres Niedercorn 94.00% 2.00% 4.00%
UN Kaerjeng 88.00% 8.00% 4.00%
Etzella Ettelbruck 80.00% 5.00% 15.00%
Jeunesse Canach 69.00% 14.00% 17.00%
Wiltz 71 61.00% 15.00% 24.00%
Racing FC Union Luxembourg 55.00% 17.00% 28.00%
Rumelange 34.00% 17.00% 49.00%
Swift Hesperange 26.00% 19.00% 55.00%

Overall Game Log

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

Date Opponent ScoreExcitement Pre Elo Opp Elo Win % Tie % Loss %Proj. Margin Elo Δ Points
2013-08-03 RM Hamm Benfica D 1-153.9 1249 1336 29.89% 24.71% 45.40%-0.38 +0.6 1
2013-08-03 @ Progres Niedercorn D 1-153.9 1336 1249 45.40% 24.71% 29.89%+0.38 -0.6 1
2013-08-04 F91 Dudelange L 1-253.0 1415 1419 41.26% 24.98% 33.76%+0.16 -6.8 0
2013-08-04 @ Fola Esch W 2-153.0 1419 1415 33.76% 24.98% 41.26%-0.16 +6.8 3
2013-08-04 Grevenmacher L 0-239.9 1280 1319 36.36% 25.05% 38.59%-0.06 -12.4 0
2013-08-04 @ Jeunesse Canach W 2-039.9 1319 1280 38.59% 25.05% 36.36%+0.06 +12.4 3
2013-08-04 Jeunesse Esch D 0-049.8 1268 1344 31.34% 24.84% 43.82%-0.30 +0.5 1
2013-08-04 @ UN Kaerjeng D 0-049.8 1344 1268 43.82% 24.84% 31.34%+0.30 -0.5 1
2013-08-04 Rumelange D 1-153.3 1189 1135 49.23% 24.26% 26.50%+0.54 -0.8 1
2013-08-04 @ Swift Hesperange D 1-153.3 1135 1189 26.50% 24.26% 49.23%-0.54 +0.8 1
2013-08-04 Wiltz 71 W 8-339.6 1208 1201 42.86% 24.90% 32.25%+0.23 +16.6 3
2013-08-04 @ Etzella Ettelbruck L 3-839.6 1201 1208 32.25% 24.90% 42.86%-0.23 -16.6 0
2013-08-10 Etzella Ettelbruck D 2-259.8 1344 1225 57.06% 22.73% 20.21%+0.95 -1.1 2
2013-08-10 @ Jeunesse Esch D 2-259.8 1225 1344 20.21% 22.73% 57.06%-0.95 +1.1 4
2013-08-10 Fola Esch L 0-142.8 1331 1408 31.20% 24.82% 43.97%-0.31 -5.9 3
2013-08-10 @ Grevenmacher W 1-042.8 1408 1331 43.97% 24.82% 31.20%+0.31 +5.9 3
2013-08-10 Progres Niedercorn L 0-141.1 1185 1249 32.78% 24.93% 42.29%-0.23 -6.1 0
2013-08-10 @ Wiltz 71 W 1-041.1 1249 1185 42.29% 24.93% 32.78%+0.23 +6.1 4
2013-08-10 Racing FC Union Luxembourg W 2-041.0 1189 1254 32.70% 24.93% 42.37%-0.24 +14.0 4
2013-08-10 @ Swift Hesperange L 0-241.0 1254 1189 42.37% 24.93% 32.70%+0.24 -14.0 0
2013-08-10 Rumelange L 0-149.6 1336 1135 65.71% 19.96% 14.32%+1.47 -10.6 1
2013-08-10 @ RM Hamm Benfica W 1-049.6 1135 1336 14.32% 19.96% 65.71%-1.47 +10.6 4
2013-08-10 UN Kaerjeng D 1-155.9 1426 1269 61.29% 21.52% 17.19%+1.19 -1.7 4
2013-08-10 @ F91 Dudelange D 1-155.9 1269 1426 17.19% 21.52% 61.29%-1.19 +1.7 2
2013-08-11 Jeunesse Canach W 2-035.3 1369 1268 54.96% 23.23% 21.81%+0.83 +8.1 3
2013-08-11 @ Differdange 03 L 0-235.3 1268 1369 21.81% 23.23% 54.96%-0.83 -8.1 0
2013-08-18 Differdange 03 W 3-037.8 1414 1377 46.93% 24.55% 28.52%+0.42 +14.9 6
2013-08-18 @ Fola Esch L 0-337.8 1377 1414 28.52% 24.55% 46.93%-0.42 -14.9 3
2013-08-18 F91 Dudelange L 1-437.0 1226 1424 18.74% 22.19% 59.08%-1.09 -8.6 4
2013-08-18 @ Etzella Ettelbruck W 4-137.0 1424 1226 59.08% 22.19% 18.74%+1.09 +8.6 7
2013-08-18 Grevenmacher D 1-153.9 1271 1325 34.14% 25.00% 40.87%-0.17 +0.2 3
2013-08-18 @ UN Kaerjeng D 1-153.9 1325 1271 40.87% 25.00% 34.14%+0.17 -0.2 4
2013-08-18 Jeunesse Esch W 1-045.5 1255 1343 29.89% 24.71% 45.40%-0.38 +7.8 7
2013-08-18 @ Progres Niedercorn L 0-145.5 1343 1255 45.40% 24.71% 29.89%+0.38 -7.8 2
2013-08-18 Racing FC Union Luxembourg W 2-145.7 1260 1240 44.56% 24.78% 30.66%+0.31 +5.4 3
2013-08-18 @ Jeunesse Canach L 1-245.7 1240 1260 30.66% 24.78% 44.56%-0.31 -5.4 0
2013-08-18 Swift Hesperange D 1-154.3 1325 1203 57.46% 22.63% 19.91%+0.97 -1.4 2
2013-08-18 @ RM Hamm Benfica D 1-154.3 1203 1325 19.91% 22.63% 57.46%-0.97 +1.4 5
2013-08-18 Wiltz 71 W 1-042.4 1146 1178 37.24% 25.06% 37.70%-0.02 +6.8 7
2013-08-18 @ Rumelange L 0-142.4 1178 1146 37.70% 25.06% 37.24%+0.02 -6.8 0
2013-08-21 Differdange 03 L 0-236.3 1235 1362 25.31% 24.05% 50.64%-0.63 -9.3 0
2013-08-21 @ Racing FC Union Luxembourg W 2-036.3 1362 1235 50.64% 24.05% 25.31%+0.63 +9.3 6
2013-08-25 Etzella Ettelbruck D 0-049.9 1325 1217 55.76% 23.05% 21.19%+0.88 -1.5 5
2013-08-25 @ Grevenmacher D 0-049.9 1217 1325 21.19% 23.05% 55.76%-0.88 +1.5 5
2013-08-25 RM Hamm Benfica W 2-152.2 1172 1323 22.83% 23.50% 53.67%-0.79 +8.5 3
2013-08-25 @ Wiltz 71 L 1-252.2 1323 1172 53.67% 23.50% 22.83%+0.79 -8.5 2
2013-08-25 Fola Esch D 0-051.0 1225 1429 18.32% 22.02% 59.66%-1.12 +1.8 1
2013-08-25 @ Racing FC Union Luxembourg D 0-051.0 1429 1225 59.66% 22.02% 18.32%+1.12 -1.8 7
2013-08-25 Jeunesse Canach D 2-258.7 1204 1265 33.26% 24.96% 41.78%-0.21 +0.2 6
2013-08-25 @ Swift Hesperange D 2-258.7 1265 1204 41.78% 24.96% 33.26%+0.21 -0.2 4
2013-08-25 Progres Niedercorn L 0-247.5 1433 1263 62.63% 21.08% 16.29%+1.27 -19.3 7
2013-08-25 @ F91 Dudelange W 2-047.5 1263 1433 16.29% 21.08% 62.63%-1.27 +19.3 10
2013-08-25 Rumelange W 1-034.7 1335 1153 63.91% 20.63% 15.46%+1.35 +3.1 5
2013-08-25 @ Jeunesse Esch L 0-134.7 1153 1335 15.46% 20.63% 63.91%-1.35 -3.1 7
2013-08-25 UN Kaerjeng W 3-033.3 1371 1271 54.87% 23.25% 21.88%+0.83 +11.8 9
2013-08-25 @ Differdange 03 L 0-333.3 1271 1371 21.88% 23.25% 54.87%-0.83 -11.8 3
2013-09-14 Grevenmacher W 4-037.8 1282 1324 36.00% 25.05% 38.95%-0.08 +24.8 13
2013-09-14 @ Progres Niedercorn L 0-437.8 1324 1282 38.95% 25.05% 36.00%+0.08 -24.8 5
2013-09-14 Racing FC Union Luxembourg W 6-034.8 1259 1227 46.24% 24.63% 29.13%+0.39 +29.0 6
2013-09-14 @ UN Kaerjeng L 0-634.8 1227 1259 29.13% 24.63% 46.24%-0.39 -29.0 1
2013-09-15 Differdange 03 L 1-340.4 1219 1383 21.67% 23.19% 55.15%-0.87 -7.0 5
2013-09-15 @ Etzella Ettelbruck W 3-140.4 1383 1219 55.15% 23.19% 21.67%+0.87 +7.0 12
2013-09-15 F91 Dudelange L 0-231.5 1150 1414 14.20% 19.89% 65.91%-1.51 -5.3 7
2013-09-15 @ Rumelange W 2-031.5 1414 1150 65.91% 19.89% 14.20%+1.51 +5.3 10
2013-09-15 Jeunesse Canach D 1-155.9 1427 1265 61.84% 21.34% 16.82%+1.23 -1.8 8
2013-09-15 @ Fola Esch D 1-155.9 1265 1427 16.82% 21.34% 61.84%-1.23 +1.8 5
2013-09-15 Jeunesse Esch D 4-465.6 1315 1338 38.59% 25.05% 36.36%+0.04 -0.0 3
2013-09-15 @ RM Hamm Benfica D 4-465.6 1338 1315 36.36% 25.05% 38.59%-0.04 +0.0 6
2013-09-15 Swift Hesperange W 2-039.2 1180 1204 38.44% 25.05% 36.50%+0.03 +12.5 6
2013-09-15 @ Wiltz 71 L 0-239.2 1204 1180 36.50% 25.05% 38.44%-0.03 -12.5 6
2013-09-22 Etzella Ettelbruck L 1-541.3 1198 1212 39.90% 25.03% 35.07%+0.10 -21.1 1
2013-09-22 @ Racing FC Union Luxembourg W 5-141.3 1212 1198 35.07% 25.03% 39.90%-0.10 +21.1 8
2013-09-22 RM Hamm Benfica W 5-033.5 1419 1315 55.31% 23.15% 21.54%+0.85 +18.7 13
2013-09-22 @ F91 Dudelange L 0-533.5 1315 1419 21.54% 23.15% 55.31%-0.85 -18.7 3
2013-09-22 Fola Esch L 0-330.6 1192 1425 16.13% 21.00% 62.87%-1.32 -8.8 6
2013-09-22 @ Swift Hesperange W 3-030.6 1425 1192 62.87% 21.00% 16.13%+1.32 +8.8 11
2013-09-22 Progres Niedercorn L 1-253.4 1390 1307 52.74% 23.69% 23.57%+0.71 -8.4 12
2013-09-22 @ Differdange 03 W 2-153.4 1307 1390 23.57% 23.69% 52.74%-0.71 +8.4 16
2013-09-22 Rumelange D 2-259.7 1299 1145 61.00% 21.61% 17.39%+1.18 -1.3 6
2013-09-22 @ Grevenmacher D 2-259.7 1145 1299 17.39% 21.61% 61.00%-1.18 +1.3 8
2013-09-22 UN Kaerjeng L 0-143.3 1267 1288 38.80% 25.05% 36.15%+0.05 -6.9 5
2013-09-22 @ Jeunesse Canach W 1-043.3 1288 1267 36.15% 25.05% 38.80%-0.05 +6.9 9
2013-09-22 Wiltz 71 W 3-138.5 1338 1193 60.04% 21.91% 18.06%+1.12 +5.9 9
2013-09-22 @ Jeunesse Esch L 1-338.5 1193 1338 18.06% 21.91% 60.04%-1.12 -5.9 6
2013-09-29 Differdange 03 W 1-049.2 1146 1382 15.99% 20.92% 63.09%-1.33 +10.3 11
2013-09-29 @ Rumelange L 0-149.2 1382 1146 63.09% 20.92% 15.99%+1.33 -10.3 12
2013-09-29 F91 Dudelange L 1-731.9 1187 1438 15.00% 20.37% 64.63%-1.43 -12.8 6
2013-09-29 @ Wiltz 71 W 7-131.9 1438 1187 64.63% 20.37% 15.00%+1.43 +12.8 16
2013-09-29 Fola Esch L 0-434.3 1295 1434 24.09% 23.80% 52.11%-0.71 -16.8 9
2013-09-29 @ UN Kaerjeng W 4-034.3 1434 1295 52.11% 23.80% 24.09%+0.71 +16.8 14
2013-09-29 Grevenmacher D 1-153.9 1296 1298 41.66% 24.96% 33.38%+0.18 -0.3 4
2013-09-29 @ RM Hamm Benfica D 1-153.9 1298 1296 33.38% 24.96% 41.66%-0.18 +0.3 7
2013-09-29 Jeunesse Canach W 5-036.7 1233 1260 38.05% 25.06% 36.89%+0.01 +29.4 11
2013-09-29 @ Etzella Ettelbruck L 0-536.7 1260 1233 36.89% 25.06% 38.05%-0.01 -29.4 5
2013-09-29 Racing FC Union Luxembourg D 1-154.3 1316 1177 59.29% 22.13% 18.58%+1.07 -1.6 17
2013-09-29 @ Progres Niedercorn D 1-154.3 1177 1316 18.58% 22.13% 59.29%-1.07 +1.6 2
2013-09-29 Swift Hesperange W 3-138.0 1344 1183 61.71% 21.39% 16.91%+1.22 +5.5 12
2013-09-29 @ Jeunesse Esch L 1-338.0 1183 1344 16.91% 21.39% 61.71%-1.22 -5.5 6
2013-10-03 Etzella Ettelbruck W 3-031.2 1451 1262 64.57% 20.40% 15.04%+1.40 +8.1 17
2013-10-03 @ Fola Esch L 0-331.2 1262 1451 15.04% 20.40% 64.57%-1.40 -8.1 11
2013-10-03 RM Hamm Benfica W 3-034.4 1371 1296 51.84% 23.85% 24.31%+0.67 +13.0 15
2013-10-03 @ Differdange 03 L 0-334.4 1296 1371 24.31% 23.85% 51.84%-0.67 -13.0 4
2013-10-03 Jeunesse Esch D 1-157.2 1450 1349 54.96% 23.23% 21.81%+0.83 -1.3 17
2013-10-03 @ F91 Dudelange D 1-157.2 1349 1450 21.81% 23.23% 54.96%-0.83 +1.3 13
2013-10-03 Progres Niedercorn W 2-042.1 1230 1314 30.34% 24.75% 44.91%-0.35 +14.6 8
2013-10-03 @ Jeunesse Canach L 0-242.1 1314 1230 44.91% 24.75% 30.34%+0.35 -14.6 17
2013-10-03 Rumelange D 0-048.9 1179 1156 44.95% 24.75% 30.30%+0.33 -0.6 3
2013-10-03 @ Racing FC Union Luxembourg D 0-048.9 1156 1179 30.30% 24.75% 44.95%-0.33 +0.6 12
2013-10-03 UN Kaerjeng L 0-334.6 1178 1278 28.29% 24.52% 47.18%-0.46 -14.8 6
2013-10-03 @ Swift Hesperange W 3-034.6 1278 1178 47.18% 24.52% 28.29%+0.46 +14.8 12
2013-10-03 Wiltz 71 L 0-245.0 1298 1174 57.63% 22.58% 19.79%+0.98 -18.0 7
2013-10-03 @ Grevenmacher W 2-045.0 1174 1298 19.79% 22.58% 57.63%-0.98 +18.0 9
2013-10-19 Differdange 03 W 4-254.9 1192 1384 19.22% 22.38% 58.40%-1.05 +14.1 12
2013-10-19 @ Wiltz 71 L 2-454.9 1384 1192 58.40% 22.38% 19.22%+1.05 -14.1 15
2013-10-19 Jeunesse Canach D 1-153.3 1157 1245 29.79% 24.70% 45.51%-0.38 +0.6 13
2013-10-19 @ Rumelange D 1-153.3 1245 1157 45.51% 24.70% 29.79%+0.38 -0.6 9
2013-10-20 Grevenmacher D 0-050.2 1351 1280 51.28% 23.95% 24.78%+0.64 -1.1 14
2013-10-20 @ Jeunesse Esch D 0-050.2 1280 1351 24.78% 23.95% 51.28%-0.64 +1.1 8
2013-10-20 Racing FC Union Luxembourg W 2-034.3 1283 1178 55.43% 23.12% 21.44%+0.86 +8.0 7
2013-10-20 @ RM Hamm Benfica L 0-234.3 1178 1283 21.44% 23.12% 55.43%-0.86 -8.0 3
2013-10-20 Swift Hesperange W 3-134.9 1449 1163 73.54% 16.53% 9.92%+2.02 +3.1 20
2013-10-20 @ F91 Dudelange L 1-334.9 1163 1449 9.92% 16.53% 73.54%-2.02 -3.0 6
2013-10-20 UN Kaerjeng L 0-337.5 1254 1293 36.33% 25.05% 38.62%-0.06 -18.0 11
2013-10-20 @ Etzella Ettelbruck W 3-037.5 1293 1254 38.62% 25.05% 36.33%+0.06 +18.0 15
2013-10-21 Fola Esch L 1-245.0 1299 1459 22.09% 23.31% 54.61%-0.84 -4.1 17
2013-10-21 @ Progres Niedercorn W 2-145.0 1459 1299 54.61% 23.31% 22.09%+0.84 +4.1 20
2013-10-26 Progres Niedercorn L 0-242.2 1311 1295 44.01% 24.82% 31.17%+0.28 -14.4 15
2013-10-26 @ UN Kaerjeng W 2-042.2 1295 1311 31.17% 24.82% 44.01%-0.28 +14.4 20
2013-10-26 Rumelange D 1-156.9 1463 1157 75.13% 15.74% 9.12%+2.15 -2.6 21
2013-10-26 @ Fola Esch D 1-156.9 1157 1463 9.12% 15.74% 75.13%-2.15 +2.6 14
2013-10-27 Etzella Ettelbruck W 1-044.3 1160 1236 31.26% 24.83% 43.91%-0.31 +7.6 9
2013-10-27 @ Swift Hesperange L 0-144.3 1236 1160 43.91% 24.83% 31.26%+0.31 -7.6 11
2013-10-27 F91 Dudelange L 1-244.2 1281 1452 21.02% 22.99% 55.99%-0.92 -3.9 8
2013-10-27 @ Grevenmacher W 2-144.2 1452 1281 55.99% 22.99% 21.02%+0.92 +3.9 23
2013-10-27 RM Hamm Benfica L 1-344.6 1244 1291 35.25% 25.03% 39.72%-0.11 -10.5 9
2013-10-27 @ Jeunesse Canach W 3-144.6 1291 1244 39.72% 25.03% 35.25%+0.11 +10.5 10
2013-10-27 Jeunesse Esch W 4-036.4 1370 1350 44.69% 24.77% 30.54%+0.32 +20.6 18
2013-10-27 @ Differdange 03 L 0-436.4 1350 1370 30.54% 24.77% 44.69%-0.32 -20.6 14
2013-10-27 Wiltz 71 L 1-344.7 1170 1206 36.72% 25.06% 38.23%-0.05 -10.8 3
2013-10-27 @ Racing FC Union Luxembourg W 3-144.7 1206 1170 38.23% 25.06% 36.72%+0.05 +10.8 15
2013-11-03 Differdange 03 W 2-148.2 1456 1391 50.59% 24.06% 25.35%+0.60 +4.6 26
2013-11-03 @ F91 Dudelange L 1-248.2 1391 1456 25.35% 24.06% 50.59%-0.60 -4.6 18
2013-11-03 Etzella Ettelbruck D 0-049.7 1310 1229 52.57% 23.72% 23.71%+0.71 -1.2 21
2013-11-03 @ Progres Niedercorn D 0-049.7 1229 1310 23.71% 23.72% 52.57%-0.71 +1.2 12
2013-11-03 Fola Esch L 1-342.4 1301 1461 22.13% 23.32% 54.55%-0.84 -7.1 10
2013-11-03 @ RM Hamm Benfica W 3-142.4 1461 1301 54.55% 23.32% 22.13%+0.84 +7.1 24
2013-11-03 Jeunesse Canach W 2-039.0 1217 1234 39.45% 25.04% 35.51%+0.08 +12.2 18
2013-11-03 @ Wiltz 71 L 0-239.0 1234 1217 35.51% 25.04% 39.45%-0.08 -12.2 9
2013-11-03 Racing FC Union Luxembourg W 6-339.0 1329 1159 62.64% 21.08% 16.29%+1.27 +6.0 17
2013-11-03 @ Jeunesse Esch L 3-639.0 1159 1329 16.29% 21.08% 62.64%-1.27 -6.0 3
2013-11-03 Swift Hesperange W 1-037.0 1277 1167 56.00% 22.99% 21.01%+0.89 +4.2 11
2013-11-03 @ Grevenmacher L 0-137.0 1167 1277 21.01% 22.99% 56.00%-0.89 -4.2 9
2013-11-03 UN Kaerjeng L 0-138.3 1160 1297 24.33% 23.85% 51.82%-0.69 -4.7 14
2013-11-03 @ Rumelange W 1-038.3 1297 1160 51.82% 23.85% 24.33%+0.69 +4.7 18
2013-11-09 Jeunesse Esch D 2-259.3 1222 1335 26.85% 24.32% 48.83%-0.54 +0.6 10
2013-11-09 @ Jeunesse Canach D 2-259.3 1335 1222 48.83% 24.32% 26.85%+0.54 -0.6 18
2013-11-10 F91 Dudelange D 0-051.8 1153 1461 11.80% 18.17% 70.03%-1.79 +2.6 4
2013-11-10 @ Racing FC Union Luxembourg D 0-051.8 1461 1153 70.03% 18.17% 11.80%+1.79 -2.6 27
2013-11-10 RM Hamm Benfica L 1-249.8 1301 1294 42.83% 24.90% 32.27%+0.23 -7.0 18
2013-11-10 @ UN Kaerjeng W 2-149.8 1294 1301 32.27% 24.90% 42.83%-0.23 +7.0 13
2013-11-10 Grevenmacher W 1-038.4 1386 1281 55.43% 23.12% 21.45%+0.86 +4.2 21
2013-11-10 @ Differdange 03 L 0-138.4 1281 1386 21.45% 23.12% 55.43%-0.86 -4.2 11
2013-11-10 Progres Niedercorn D 2-259.1 1163 1309 23.45% 23.66% 52.90%-0.75 +0.8 10
2013-11-10 @ Swift Hesperange D 2-259.1 1309 1163 52.90% 23.66% 23.45%+0.75 -0.8 22
2013-11-10 Rumelange W 3-033.1 1230 1155 51.75% 23.87% 24.38%+0.66 +13.0 15
2013-11-10 @ Etzella Ettelbruck L 0-333.1 1155 1230 24.38% 23.87% 51.75%-0.66 -13.0 14
2013-11-10 Wiltz 71 W 2-031.6 1468 1229 69.36% 18.47% 12.17%+1.72 +4.4 27
2013-11-10 @ Fola Esch L 0-231.6 1229 1468 12.17% 18.47% 69.36%-1.72 -4.5 18
2013-11-23 UN Kaerjeng W 3-254.4 1225 1294 32.14% 24.89% 42.97%-0.26 +6.7 21
2013-11-23 @ Wiltz 71 L 2-354.4 1294 1225 42.97% 24.89% 32.14%+0.26 -6.7 18
2013-11-24 Etzella Ettelbruck W 3-034.2 1301 1243 49.72% 24.19% 26.09%+0.56 +13.8 16
2013-11-24 @ RM Hamm Benfica L 0-334.2 1243 1301 26.09% 24.19% 49.72%-0.56 -13.8 15
2013-11-24 Fola Esch D 1-157.1 1334 1472 24.22% 23.83% 51.94%-0.70 +1.0 19
2013-11-24 @ Jeunesse Esch D 1-157.1 1472 1334 51.94% 23.83% 24.22%+0.70 -1.0 28
2013-11-24 Jeunesse Canach L 1-256.6 1458 1222 69.11% 18.57% 12.31%+1.70 -10.4 27
2013-11-24 @ F91 Dudelange W 2-156.6 1222 1458 12.31% 18.57% 69.11%-1.70 +10.5 13
2013-11-24 Progres Niedercorn D 1-153.9 1142 1308 21.53% 23.15% 55.33%-0.88 +1.3 15
2013-11-24 @ Rumelange D 1-153.9 1308 1142 55.33% 23.15% 21.53%+0.88 -1.3 23
2013-11-24 Racing FC Union Luxembourg D 1-154.0 1277 1156 57.32% 22.66% 20.02%+0.96 -1.4 12
2013-11-24 @ Grevenmacher D 1-154.0 1156 1277 20.02% 22.66% 57.32%-0.96 +1.4 5
2013-11-24 Swift Hesperange W 5-027.9 1390 1164 68.23% 18.95% 12.82%+1.64 +11.0 24
2013-11-24 @ Differdange 03 L 0-527.9 1164 1390 12.82% 18.95% 68.23%-1.64 -11.0 10
2014-02-23 Differdange 03 L 0-138.0 1233 1401 21.26% 23.07% 55.68%-0.90 -4.2 13
2014-02-23 @ Jeunesse Canach W 1-038.0 1401 1233 55.68% 23.07% 21.26%+0.90 +4.2 27
2014-02-23 F91 Dudelange L 0-236.6 1288 1448 22.04% 23.29% 54.67%-0.84 -8.2 18
2014-02-23 @ UN Kaerjeng W 2-036.6 1448 1288 54.67% 23.29% 22.04%+0.84 +8.2 30
2014-02-23 RM Hamm Benfica W 4-253.9 1143 1315 20.97% 22.98% 56.05%-0.92 +13.6 18
2014-02-23 @ Rumelange L 2-453.9 1315 1143 56.05% 22.98% 20.97%+0.92 -13.6 16
2014-02-23 Grevenmacher W 2-141.6 1471 1276 65.26% 20.14% 14.60%+1.44 +2.7 31
2014-02-23 @ Fola Esch L 1-241.6 1276 1471 14.60% 20.14% 65.26%-1.44 -2.7 12
2014-02-23 Jeunesse Esch W 1-045.9 1229 1335 27.63% 24.43% 47.94%-0.50 +8.2 18
2014-02-23 @ Etzella Ettelbruck L 0-145.9 1335 1229 47.94% 24.43% 27.63%+0.50 -8.2 19
2014-02-23 Swift Hesperange D 0-048.9 1157 1153 42.44% 24.92% 32.63%+0.21 -0.4 6
2014-02-23 @ Racing FC Union Luxembourg D 0-048.9 1153 1157 32.63% 24.92% 42.44%-0.21 +0.4 11
2014-02-23 Wiltz 71 D 1-153.9 1306 1231 51.81% 23.86% 24.33%+0.67 -1.0 24
2014-02-23 @ Progres Niedercorn D 1-153.9 1231 1306 24.33% 23.86% 51.81%-0.67 +1.0 22
2014-03-08 UN Kaerjeng L 0-241.0 1273 1279 40.91% 24.99% 34.09%+0.14 -13.6 12
2014-03-08 @ Grevenmacher W 2-041.0 1279 1273 34.09% 24.99% 40.91%-0.14 +13.6 21
2014-03-09 Etzella Ettelbruck W 2-032.1 1456 1237 67.51% 19.25% 13.24%+1.59 +4.9 33
2014-03-09 @ F91 Dudelange L 0-232.1 1237 1456 13.24% 19.25% 67.51%-1.59 -4.9 18
2014-03-09 RM Hamm Benfica W 2-043.9 1153 1302 23.18% 23.59% 53.23%-0.77 +16.8 14
2014-03-09 @ Swift Hesperange L 0-243.9 1302 1153 53.23% 23.59% 23.18%+0.77 -16.8 16
2014-03-09 Fola Esch L 1-251.5 1405 1474 32.32% 24.90% 42.78%-0.25 -5.7 27
2014-03-09 @ Differdange 03 W 2-151.5 1474 1405 42.78% 24.90% 32.32%+0.25 +5.7 34
2014-03-09 Jeunesse Canach W 2-149.2 1157 1229 31.87% 24.87% 43.25%-0.28 +7.1 9
2014-03-09 @ Racing FC Union Luxembourg L 1-249.2 1229 1157 43.25% 24.87% 31.87%+0.28 -7.1 13
2014-03-09 Progres Niedercorn W 2-038.3 1327 1305 44.85% 24.75% 30.39%+0.32 +10.8 22
2014-03-09 @ Jeunesse Esch L 0-238.3 1305 1327 30.39% 24.75% 44.85%-0.32 -10.8 24
2014-03-09 Rumelange D 4-464.8 1232 1157 51.85% 23.85% 24.30%+0.67 -0.6 23
2014-03-09 @ Wiltz 71 D 4-464.8 1157 1232 24.30% 23.85% 51.85%-0.67 +0.6 19
2014-03-15 Wiltz 71 D 1-153.7 1285 1232 48.98% 24.30% 26.72%+0.52 -0.8 17
2014-03-15 @ RM Hamm Benfica D 1-153.7 1232 1285 26.72% 24.30% 48.98%-0.52 +0.8 24
2014-03-16 Differdange 03 L 1-246.0 1293 1400 27.58% 24.43% 47.99%-0.50 -5.0 21
2014-03-16 @ UN Kaerjeng W 2-146.0 1400 1293 47.99% 24.43% 27.58%+0.50 +5.0 30
2014-03-16 F91 Dudelange L 0-334.6 1295 1461 21.48% 23.13% 55.39%-0.88 -11.6 24
2014-03-16 @ Progres Niedercorn W 3-034.6 1461 1295 55.39% 23.13% 21.48%+0.88 +11.6 36
2014-03-16 Grevenmacher L 1-248.0 1232 1259 38.02% 25.06% 36.92%+0.01 -6.4 18
2014-03-16 @ Etzella Ettelbruck W 2-148.0 1259 1232 36.92% 25.06% 38.02%-0.01 +6.4 15
2014-03-16 Jeunesse Esch D 1-154.1 1158 1338 20.21% 22.73% 57.06%-0.97 +1.4 20
2014-03-16 @ Rumelange D 1-154.1 1338 1158 57.06% 22.73% 20.21%+0.97 -1.4 23
2014-03-16 Racing FC Union Luxembourg W 1-032.0 1479 1164 75.89% 15.36% 8.75%+2.21 +1.6 37
2014-03-16 @ Fola Esch L 0-132.0 1164 1479 8.75% 15.36% 75.89%-2.21 -1.6 9
2014-03-16 Swift Hesperange W 2-036.1 1221 1170 48.78% 24.33% 26.90%+0.51 +9.8 16
2014-03-16 @ Jeunesse Canach L 0-236.1 1170 1221 26.90% 24.33% 48.78%-0.51 -9.8 14
2014-03-23 Etzella Ettelbruck W 3-030.5 1405 1226 63.59% 20.75% 15.66%+1.33 +8.5 33
2014-03-23 @ Differdange 03 L 0-330.5 1226 1405 15.66% 20.75% 63.59%-1.33 -8.5 18
2014-03-23 RM Hamm Benfica L 1-251.7 1337 1284 48.97% 24.30% 26.73%+0.52 -7.8 23
2014-03-23 @ Jeunesse Esch W 2-151.7 1284 1337 26.73% 24.30% 48.97%-0.52 +7.9 20
2014-03-23 Fola Esch L 0-233.3 1231 1481 15.06% 20.41% 64.53%-1.42 -5.6 16
2014-03-23 @ Jeunesse Canach W 2-033.3 1481 1231 64.53% 20.41% 15.06%+1.42 +5.6 40
2014-03-23 Progres Niedercorn D 0-049.4 1266 1283 39.39% 25.04% 35.57%+0.07 -0.2 16
2014-03-23 @ Grevenmacher D 0-049.4 1283 1266 35.57% 25.04% 39.39%-0.07 +0.2 25
2014-03-23 Rumelange W 3-026.9 1472 1159 75.72% 15.44% 8.83%+2.20 +4.5 39
2014-03-23 @ F91 Dudelange L 0-326.9 1159 1472 8.83% 15.44% 75.72%-2.20 -4.5 20
2014-03-23 UN Kaerjeng L 1-341.1 1162 1288 25.48% 24.09% 50.43%-0.62 -8.1 9
2014-03-23 @ Racing FC Union Luxembourg W 3-141.1 1288 1162 50.43% 24.09% 25.48%+0.62 +8.1 24
2014-03-23 Wiltz 71 L 0-237.8 1160 1233 31.80% 24.87% 43.33%-0.28 -11.2 14
2014-03-23 @ Swift Hesperange W 2-037.8 1233 1160 43.33% 24.87% 31.80%+0.28 +11.2 27
2014-03-29 Differdange 03 L 2-446.5 1283 1413 25.01% 24.00% 50.99%-0.65 -7.1 25
2014-03-29 @ Progres Niedercorn W 4-246.5 1413 1283 50.99% 24.00% 25.01%+0.65 +7.1 36
2014-03-30 F91 Dudelange L 2-349.3 1292 1477 19.82% 22.59% 57.59%-1.00 -3.5 20
2014-03-30 @ RM Hamm Benfica W 3-249.3 1477 1292 57.59% 22.59% 19.82%+1.00 +3.5 42
2014-03-30 Grevenmacher L 2-349.2 1155 1265 27.11% 24.36% 48.53%-0.53 -4.7 20
2014-03-30 @ Rumelange W 3-249.2 1265 1155 48.53% 24.36% 27.11%+0.53 +4.7 19
2014-03-30 Jeunesse Canach D 1-153.8 1296 1226 51.24% 23.95% 24.81%+0.64 -1.0 25
2014-03-30 @ UN Kaerjeng D 1-153.8 1226 1296 24.81% 23.95% 51.24%-0.64 +1.0 17
2014-03-30 Jeunesse Esch L 1-440.6 1244 1329 30.20% 24.74% 45.06%-0.36 -13.1 27
2014-03-30 @ Wiltz 71 W 4-140.6 1329 1244 45.06% 24.74% 30.20%+0.36 +13.2 26
2014-03-30 Racing FC Union Luxembourg L 1-445.9 1217 1154 50.30% 24.11% 25.59%+0.59 -19.7 18
2014-03-30 @ Etzella Ettelbruck W 4-145.9 1154 1217 25.59% 24.11% 50.30%-0.59 +19.7 12
2014-03-30 Swift Hesperange W 2-028.5 1487 1149 77.57% 14.48% 7.95%+2.35 +2.7 43
2014-03-30 @ Fola Esch L 0-228.5 1149 1487 7.95% 14.48% 77.57%-2.35 -2.7 14
2014-04-06 Etzella Ettelbruck L 1-347.3 1227 1198 45.81% 24.67% 29.52%+0.37 -12.9 17
2014-04-06 @ Jeunesse Canach W 3-147.3 1198 1227 29.52% 24.67% 45.81%-0.37 +12.9 21
2014-04-06 RM Hamm Benfica W 1-042.4 1270 1288 39.29% 25.04% 35.67%+0.07 +6.5 22
2014-04-06 @ Grevenmacher L 0-142.4 1288 1270 35.67% 25.04% 39.29%-0.07 -6.5 20
2014-04-06 Jeunesse Esch D 1-154.2 1146 1342 18.97% 22.28% 58.75%-1.07 +1.5 15
2014-04-06 @ Swift Hesperange D 1-154.2 1342 1146 58.75% 22.28% 18.97%+1.07 -1.5 27
2014-04-06 Progres Niedercorn L 0-139.6 1174 1276 28.12% 24.50% 47.37%-0.47 -5.4 12
2014-04-06 @ Racing FC Union Luxembourg W 1-039.6 1276 1174 47.37% 24.50% 28.12%+0.47 +5.4 28
2014-04-06 Rumelange W 1-032.6 1420 1150 72.20% 17.18% 10.62%+1.92 +2.0 39
2014-04-06 @ Differdange 03 L 0-132.6 1150 1420 10.62% 17.18% 72.20%-1.92 -2.0 20
2014-04-06 UN Kaerjeng W 2-034.3 1489 1295 65.13% 20.18% 14.68%+1.43 +5.5 46
2014-04-06 @ Fola Esch L 0-234.3 1295 1489 14.68% 20.18% 65.13%-1.43 -5.5 25
2014-04-06 Wiltz 71 W 2-139.5 1480 1231 70.37% 18.02% 11.61%+1.79 +2.1 45
2014-04-06 @ F91 Dudelange L 1-239.5 1231 1480 11.61% 18.02% 70.37%-1.79 -2.1 27
2014-04-13 Differdange 03 L 0-236.8 1282 1422 23.92% 23.76% 52.31%-0.72 -8.8 20
2014-04-13 @ RM Hamm Benfica W 2-036.8 1422 1282 52.31% 23.76% 23.92%+0.72 +8.8 42
2014-04-13 F91 Dudelange D 2-262.9 1340 1482 23.78% 23.73% 52.48%-0.73 +0.8 28
2014-04-13 @ Jeunesse Esch D 2-262.9 1482 1340 52.48% 23.73% 23.78%+0.73 -0.8 46
2014-04-13 Fola Esch L 2-345.1 1211 1495 13.02% 19.09% 67.89%-1.64 -2.3 21
2014-04-13 @ Etzella Ettelbruck W 3-245.1 1495 1211 67.89% 19.09% 13.02%+1.64 +2.3 49
2014-04-13 Grevenmacher L 0-142.0 1229 1277 35.04% 25.03% 39.94%-0.12 -6.4 27
2014-04-13 @ Wiltz 71 W 1-042.0 1277 1229 39.94% 25.03% 35.04%+0.12 +6.4 25
2014-04-13 Jeunesse Canach W 3-033.6 1281 1214 50.89% 24.01% 25.10%+0.62 +13.3 31
2014-04-13 @ Progres Niedercorn L 0-333.6 1214 1281 25.10% 24.01% 50.89%-0.62 -13.4 17
2014-04-13 Racing FC Union Luxembourg L 0-239.9 1148 1169 38.92% 25.05% 36.03%+0.05 -13.1 20
2014-04-13 @ Rumelange W 2-039.9 1169 1148 36.03% 25.05% 38.92%-0.05 +13.1 15
2014-04-13 Swift Hesperange L 0-442.4 1290 1148 59.62% 22.03% 18.35%+1.09 -35.2 25
2014-04-13 @ UN Kaerjeng W 4-042.4 1148 1290 18.35% 22.03% 59.62%-1.09 +35.2 18
2014-04-18 Rumelange D 1-153.4 1200 1135 50.62% 24.06% 25.33%+0.61 -0.9 18
2014-04-18 @ Jeunesse Canach D 1-153.4 1135 1200 25.33% 24.06% 50.62%-0.61 +0.9 21
2014-04-19 Etzella Ettelbruck W 3-141.9 1254 1208 48.12% 24.41% 27.47%+0.48 +8.6 28
2014-04-19 @ UN Kaerjeng L 1-341.9 1208 1254 27.47% 24.41% 48.12%-0.48 -8.6 21
2014-04-19 F91 Dudelange L 0-329.2 1183 1482 12.26% 18.53% 69.21%-1.73 -6.5 18
2014-04-19 @ Swift Hesperange W 3-029.2 1482 1183 69.21% 18.53% 12.26%+1.73 +6.5 49
2014-04-19 RM Hamm Benfica W 2-150.1 1182 1273 29.42% 24.66% 45.92%-0.40 +7.4 18
2014-04-19 @ Racing FC Union Luxembourg L 1-250.1 1273 1182 45.92% 24.66% 29.42%+0.40 -7.5 20
2014-04-19 Jeunesse Esch L 1-442.1 1283 1341 33.66% 24.98% 41.36%-0.19 -14.3 25
2014-04-19 @ Grevenmacher W 4-142.1 1341 1283 41.36% 24.98% 33.66%+0.19 +14.3 31
2014-04-19 Progres Niedercorn W 4-031.3 1497 1295 65.93% 19.88% 14.19%+1.48 +10.0 52
2014-04-19 @ Fola Esch L 0-431.3 1295 1497 14.19% 19.88% 65.93%-1.48 -10.0 31
2014-04-19 Wiltz 71 W 2-140.0 1431 1222 66.59% 19.62% 13.79%+1.53 +2.5 45
2014-04-19 @ Differdange 03 L 1-240.0 1222 1431 13.79% 19.62% 66.59%-1.53 -2.6 27
2014-04-26 UN Kaerjeng W 1-040.7 1285 1263 44.84% 24.76% 30.40%+0.32 +5.7 34
2014-04-26 @ Progres Niedercorn L 0-140.7 1263 1285 30.40% 24.76% 44.84%-0.32 -5.7 28
2014-04-27 Differdange 03 W 1-047.6 1356 1434 31.03% 24.81% 44.16%-0.32 +7.7 34
2014-04-27 @ Jeunesse Esch L 0-147.6 1434 1356 44.16% 24.81% 31.03%+0.32 -7.6 45
2014-04-27 Fola Esch W 1-052.1 1136 1507 8.97% 15.59% 75.45%-2.20 +11.8 24
2014-04-27 @ Rumelange L 0-152.1 1507 1136 75.45% 15.59% 8.97%+2.20 -11.8 52
2014-04-27 Grevenmacher W 2-033.1 1488 1269 67.58% 19.22% 13.20%+1.59 +4.9 52
2014-04-27 @ F91 Dudelange L 0-233.1 1269 1488 13.20% 19.22% 67.58%-1.59 -4.9 25
2014-04-27 Jeunesse Canach L 0-146.3 1265 1199 50.67% 24.05% 25.28%+0.61 -8.6 20
2014-04-27 @ RM Hamm Benfica W 1-046.3 1199 1265 25.28% 24.05% 50.67%-0.61 +8.6 21
2014-04-27 Racing FC Union Luxembourg W 2-145.0 1220 1189 46.04% 24.65% 29.31%+0.38 +5.2 30
2014-04-27 @ Wiltz 71 L 1-245.0 1189 1220 29.31% 24.65% 46.04%-0.38 -5.2 18
2014-04-27 Swift Hesperange W 2-037.2 1200 1177 45.02% 24.74% 30.24%+0.33 +10.8 24
2014-04-27 @ Etzella Ettelbruck L 0-237.2 1177 1200 30.24% 24.74% 45.02%-0.33 -10.8 18
2014-04-30 Grevenmacher D 3-362.7 1166 1264 28.63% 24.57% 46.81%-0.44 +0.4 19
2014-04-30 @ Swift Hesperange D 3-362.7 1264 1166 46.81% 24.57% 28.63%+0.44 -0.4 26
2014-04-30 Wiltz 71 W 1-041.9 1208 1225 39.46% 25.04% 35.50%+0.08 +6.5 24
2014-04-30 @ Jeunesse Canach L 0-141.9 1225 1208 35.50% 25.04% 39.46%-0.08 -6.5 30
2014-05-01 F91 Dudelange L 0-147.8 1426 1493 32.50% 24.92% 42.58%-0.25 -6.0 45
2014-05-01 @ Differdange 03 W 1-047.8 1493 1426 42.58% 24.92% 32.50%+0.25 +6.0 55
2014-05-01 RM Hamm Benfica W 3-030.3 1495 1257 69.35% 18.47% 12.18%+1.72 +6.5 55
2014-05-01 @ Fola Esch L 0-330.3 1257 1495 12.18% 18.47% 69.35%-1.72 -6.5 20
2014-05-01 Jeunesse Esch L 1-242.2 1184 1363 20.31% 22.76% 56.93%-0.97 -3.8 18
2014-05-01 @ Racing FC Union Luxembourg W 2-142.2 1363 1184 56.93% 22.76% 20.31%+0.97 +3.8 37
2014-05-01 Progres Niedercorn D 1-153.5 1210 1291 30.80% 24.79% 44.41%-0.33 +0.5 25
2014-05-01 @ Etzella Ettelbruck D 1-153.5 1291 1210 44.41% 24.79% 30.80%+0.33 -0.5 35
2014-05-01 Rumelange D 0-049.6 1257 1148 56.01% 22.99% 21.00%+0.89 -1.5 29
2014-05-01 @ UN Kaerjeng D 0-049.6 1148 1257 21.00% 22.99% 56.01%-0.89 +1.5 25
2014-05-04 Differdange 03 W 2-045.5 1263 1420 22.36% 23.38% 54.26%-0.82 +17.1 29
2014-05-04 @ Grevenmacher L 0-245.5 1420 1263 54.26% 23.38% 22.36%+0.82 -17.1 45
2014-05-04 Etzella Ettelbruck L 1-246.2 1149 1211 33.16% 24.95% 41.89%-0.21 -5.8 25
2014-05-04 @ Rumelange W 2-146.2 1211 1149 41.89% 24.95% 33.16%+0.21 +5.8 28
2014-05-04 Fola Esch D 3-366.3 1218 1502 13.07% 19.13% 67.80%-1.64 +1.3 31
2014-05-04 @ Wiltz 71 D 3-366.3 1502 1218 67.80% 19.13% 13.07%+1.64 -1.3 56
2014-05-04 Jeunesse Canach W 3-031.0 1367 1214 60.80% 21.67% 17.52%+1.16 +9.5 40
2014-05-04 @ Jeunesse Esch L 0-331.0 1214 1367 17.52% 21.67% 60.80%-1.16 -9.5 24
2014-05-04 Racing FC Union Luxembourg W 5-026.5 1499 1180 76.17% 15.21% 8.62%+2.23 +7.0 58
2014-05-04 @ F91 Dudelange L 0-526.5 1180 1499 8.62% 15.21% 76.17%-2.23 -7.0 18
2014-05-04 Swift Hesperange D 1-154.0 1290 1166 57.61% 22.59% 19.80%+0.98 -1.5 36
2014-05-04 @ Progres Niedercorn D 1-154.0 1166 1290 19.80% 22.59% 57.61%-0.98 +1.5 20
2014-05-04 UN Kaerjeng W 2-038.7 1250 1256 41.08% 24.99% 33.93%+0.15 +11.8 23
2014-05-04 @ RM Hamm Benfica L 0-238.7 1256 1250 33.93% 24.99% 41.08%-0.15 -11.8 29
2014-05-10 Grevenmacher L 1-439.3 1173 1281 27.50% 24.42% 48.08%-0.51 -12.2 18
2014-05-10 @ Racing FC Union Luxembourg W 4-139.3 1281 1173 48.08% 24.42% 27.50%+0.51 +12.2 32
2014-05-10 Wiltz 71 W 2-037.3 1244 1220 45.20% 24.72% 30.08%+0.34 +10.7 32
2014-05-10 @ UN Kaerjeng L 0-237.3 1220 1244 30.08% 24.72% 45.20%-0.34 -10.7 31
2014-05-11 Differdange 03 L 0-730.6 1168 1403 16.02% 20.94% 63.04%-1.33 -19.2 20
2014-05-11 @ Swift Hesperange W 7-030.6 1403 1168 63.04% 20.94% 16.02%+1.33 +19.2 48
2014-05-11 F91 Dudelange W 4-364.8 1205 1506 12.12% 18.43% 69.45%-1.75 +9.7 27
2014-05-11 @ Jeunesse Canach L 3-464.8 1506 1205 69.45% 18.43% 12.12%+1.75 -9.7 58
2014-05-11 RM Hamm Benfica D 2-258.8 1217 1262 35.39% 25.04% 39.57%-0.11 +0.1 29
2014-05-11 @ Etzella Ettelbruck D 2-258.8 1262 1217 39.57% 25.04% 35.39%+0.11 -0.1 24
2014-05-11 Jeunesse Esch W 4-141.8 1500 1376 57.64% 22.58% 19.78%+0.98 +9.1 59
2014-05-11 @ Fola Esch L 1-441.8 1376 1500 19.78% 22.58% 57.64%-0.98 -9.1 40
2014-05-11 Rumelange W 4-029.9 1289 1143 60.03% 21.91% 18.06%+1.12 +12.8 39
2014-05-11 @ Progres Niedercorn L 0-429.9 1143 1289 18.06% 21.91% 60.03%-1.12 -12.8 25
2014-05-18 Etzella Ettelbruck L 1-345.9 1209 1217 40.75% 25.00% 34.25%+0.13 -11.7 31
2014-05-18 @ Wiltz 71 W 3-145.9 1217 1209 34.25% 25.00% 40.75%-0.13 +11.7 32
2014-05-18 Fola Esch W 3-046.7 1496 1509 39.99% 25.02% 34.98%+0.10 +17.5 61
2014-05-18 @ F91 Dudelange L 0-346.7 1509 1496 34.98% 25.02% 39.99%-0.10 -17.5 59
2014-05-18 Jeunesse Canach L 0-243.8 1293 1215 52.18% 23.79% 24.03%+0.69 -16.6 32
2014-05-18 @ Grevenmacher W 2-043.8 1215 1293 24.03% 23.79% 52.18%-0.69 +16.6 30
2014-05-18 Progres Niedercorn L 0-142.6 1262 1301 36.25% 25.05% 38.69%-0.07 -6.6 24
2014-05-18 @ RM Hamm Benfica W 1-042.6 1301 1262 38.69% 25.05% 36.25%+0.07 +6.6 42
2014-05-18 Racing FC Union Luxembourg W 3-027.9 1422 1161 71.41% 17.55% 11.04%+1.86 +5.8 51
2014-05-18 @ Differdange 03 L 0-327.9 1161 1422 11.04% 17.55% 71.41%-1.86 -5.8 18
2014-05-18 Swift Hesperange W 2-038.9 1130 1149 39.28% 25.04% 35.68%+0.07 +12.2 28
2014-05-18 @ Rumelange L 0-238.9 1149 1130 35.68% 25.04% 39.28%-0.07 -12.2 20
2014-05-18 UN Kaerjeng W 2-142.8 1367 1255 56.34% 22.91% 20.76%+0.91 +3.9 43
2014-05-18 @ Jeunesse Esch L 1-242.8 1255 1367 20.76% 22.91% 56.34%-0.91 -3.9 32

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 2014-04-27 8.97% @ Rumelange 1136 1 Fola Esch 1507 0
2 2014-05-11 12.12% @ Jeunesse Canach 1205 4 F91 Dudelange 1506 3
3 2013-11-24 12.31% Jeunesse Canach 1222 2 @ F91 Dudelange 1458 1
4 2013-08-10 14.32% Rumelange 1135 1 @ RM Hamm Benfica 1336 0
5 2013-09-29 15.99% @ Rumelange 1146 1 Differdange 03 1382 0
6 2013-08-25 16.29% Progres Niedercorn 1263 2 @ F91 Dudelange 1433 0
7 2014-04-13 18.35% Swift Hesperange 1148 4 @ UN Kaerjeng 1290 0
8 2013-10-19 19.22% @ Wiltz 71 1192 4 Differdange 03 1384 2
9 2013-10-03 19.79% Wiltz 71 1174 2 @ Grevenmacher 1298 0
10 2014-02-23 20.97% @ Rumelange 1143 4 RM Hamm Benfica 1315 2
11 2014-05-04 22.36% @ Grevenmacher 1263 2 Differdange 03 1420 0
12 2013-08-25 22.83% @ Wiltz 71 1172 2 RM Hamm Benfica 1323 1
13 2014-03-09 23.18% @ Swift Hesperange 1153 2 RM Hamm Benfica 1302 0
14 2013-09-22 23.57% Progres Niedercorn 1307 2 @ Differdange 03 1390 1
15 2014-05-18 24.03% Jeunesse Canach 1215 2 @ Grevenmacher 1293 0
16 2014-04-27 25.28% Jeunesse Canach 1199 1 @ RM Hamm Benfica 1265 0
17 2014-03-30 25.59% Racing FC Union Luxembourg 1154 4 @ Etzella Ettelbruck 1217 1
18 2014-03-23 26.73% RM Hamm Benfica 1284 2 @ Jeunesse Esch 1337 1
19 2014-02-23 27.63% @ Etzella Ettelbruck 1229 1 Jeunesse Esch 1335 0
20 2014-04-19 29.42% @ Racing FC Union Luxembourg 1182 2 RM Hamm Benfica 1273 1
21 2014-04-06 29.52% Etzella Ettelbruck 1198 3 @ Jeunesse Canach 1227 1
22 2013-08-18 29.89% @ Progres Niedercorn 1255 1 Jeunesse Esch 1343 0
23 2013-10-03 30.34% @ Jeunesse Canach 1230 2 Progres Niedercorn 1314 0
24 2014-04-27 31.03% @ Jeunesse Esch 1356 1 Differdange 03 1434 0
25 2013-10-26 31.17% Progres Niedercorn 1295 2 @ UN Kaerjeng 1311 0

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 2014-04-13 35.16 Swift Hesperange 4 1148 18.35% @ UN Kaerjeng 0 1290 59.62% 22.03%
2 2013-09-29 29.36 @ Etzella Ettelbruck 5 1233 38.05% Jeunesse Canach 0 1260 36.89% 25.06%
3 2013-09-14 28.96 @ UN Kaerjeng 6 1259 46.24% Racing FC Union Luxembourg 0 1227 29.13% 24.63%
4 2013-09-14 24.82 @ Progres Niedercorn 4 1282 36.00% Grevenmacher 0 1324 38.95% 25.05%
5 2013-09-22 21.07 Etzella Ettelbruck 5 1212 35.07% @ Racing FC Union Luxembourg 1 1198 39.90% 25.03%
6 2013-10-27 20.57 @ Differdange 03 4 1370 44.69% Jeunesse Esch 0 1350 30.54% 24.77%
7 2014-03-30 19.66 Racing FC Union Luxembourg 4 1154 25.59% @ Etzella Ettelbruck 1 1217 50.30% 24.11%
8 2013-08-25 19.32 Progres Niedercorn 2 1263 16.29% @ F91 Dudelange 0 1433 62.63% 21.08%
9 2014-05-11 19.25 Differdange 03 7 1403 63.04% @ Swift Hesperange 0 1168 16.02% 20.94%
10 2013-09-22 18.74 @ F91 Dudelange 5 1419 55.31% RM Hamm Benfica 0 1315 21.54% 23.15%
11 2013-10-20 18.02 UN Kaerjeng 3 1293 38.62% @ Etzella Ettelbruck 0 1254 36.33% 25.05%
12 2013-10-03 18.01 Wiltz 71 2 1174 19.79% @ Grevenmacher 0 1298 57.63% 22.58%
13 2014-05-18 17.51 @ F91 Dudelange 3 1496 39.99% Fola Esch 0 1509 34.98% 25.02%
14 2014-05-04 17.11 @ Grevenmacher 2 1263 22.36% Differdange 03 0 1420 54.26% 23.38%
15 2013-09-29 16.83 Fola Esch 4 1434 52.11% @ UN Kaerjeng 0 1295 24.09% 23.80%
16 2014-03-09 16.83 @ Swift Hesperange 2 1153 23.18% RM Hamm Benfica 0 1302 53.23% 23.59%
17 2013-08-04 16.57 @ Etzella Ettelbruck 8 1208 42.86% Wiltz 71 3 1201 32.25% 24.90%
18 2014-05-18 16.56 Jeunesse Canach 2 1215 24.03% @ Grevenmacher 0 1293 52.18% 23.79%
19 2013-08-18 14.89 @ Fola Esch 3 1414 46.93% Differdange 03 0 1377 28.52% 24.55%
20 2013-10-03 14.79 UN Kaerjeng 3 1278 47.18% @ Swift Hesperange 0 1178 28.29% 24.52%
21 2013-10-03 14.63 @ Jeunesse Canach 2 1230 30.34% Progres Niedercorn 0 1314 44.91% 24.75%
22 2013-10-26 14.39 Progres Niedercorn 2 1295 31.17% @ UN Kaerjeng 0 1311 44.01% 24.82%
23 2014-04-19 14.34 Jeunesse Esch 4 1341 41.36% @ Grevenmacher 1 1283 33.66% 24.98%
24 2013-10-19 14.11 @ Wiltz 71 4 1192 19.22% Differdange 03 2 1384 58.40% 22.38%
25 2013-08-10 13.96 @ Swift Hesperange 2 1189 32.70% Racing FC Union Luxembourg 0 1254 42.37% 24.93%

Most & Least Exciting Games

The season’s games ranked by excitement rating (0–100) — a blend of closeness, upset, team quality, and scoring. An asterisk (*) after the date indicates a playoff game.

# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2014-05-04 66.3 @ Wiltz 71 3 1218 13.07% Fola Esch 3 1502 67.80% 19.13%
2 2013-09-15 65.6 @ RM Hamm Benfica 4 1315 38.59% Jeunesse Esch 4 1338 36.36% 25.05%
3 2014-03-09 64.8 @ Wiltz 71 4 1232 51.85% Rumelange 4 1157 24.30% 23.85%
4 2014-05-11 64.8 @ Jeunesse Canach 4 1205 12.12% F91 Dudelange 3 1506 69.45% 18.43%
5 2014-04-13 62.9 @ Jeunesse Esch 2 1340 23.78% F91 Dudelange 2 1482 52.48% 23.73%
6 2014-04-30 62.7 @ Swift Hesperange 3 1166 28.63% Grevenmacher 3 1264 46.81% 24.57%
7 2013-08-10 59.8 @ Jeunesse Esch 2 1344 57.06% Etzella Ettelbruck 2 1225 20.21% 22.73%
8 2013-09-22 59.7 @ Grevenmacher 2 1299 61.00% Rumelange 2 1145 17.39% 21.61%
9 2013-11-09 59.3 @ Jeunesse Canach 2 1222 26.85% Jeunesse Esch 2 1335 48.83% 24.32%
10 2013-11-10 59.1 @ Swift Hesperange 2 1163 23.45% Progres Niedercorn 2 1309 52.90% 23.66%
11 2014-05-11 58.8 @ Etzella Ettelbruck 2 1217 35.39% RM Hamm Benfica 2 1262 39.57% 25.04%
12 2013-08-25 58.7 @ Swift Hesperange 2 1204 33.26% Jeunesse Canach 2 1265 41.78% 24.96%
13 2013-10-03 57.2 @ F91 Dudelange 1 1450 54.96% Jeunesse Esch 1 1349 21.81% 23.23%
14 2013-11-24 57.1 @ Jeunesse Esch 1 1334 24.22% Fola Esch 1 1472 51.94% 23.83%
15 2013-10-26 56.9 @ Fola Esch 1 1463 75.13% Rumelange 1 1157 9.12% 15.74%
16 2013-11-24 56.6 Jeunesse Canach 2 1222 12.31% @ F91 Dudelange 1 1458 69.11% 18.57%
17 2013-08-10 55.9 @ F91 Dudelange 1 1426 61.29% UN Kaerjeng 1 1269 17.19% 21.52%
18 2013-09-15 55.9 @ Fola Esch 1 1427 61.84% Jeunesse Canach 1 1265 16.82% 21.34%
19 2013-10-19 54.9 @ Wiltz 71 4 1192 19.22% Differdange 03 2 1384 58.40% 22.38%
20 2013-11-23 54.4 @ Wiltz 71 3 1225 32.14% UN Kaerjeng 2 1294 42.97% 24.89%
21 2013-08-18 54.3 @ RM Hamm Benfica 1 1325 57.46% Swift Hesperange 1 1203 19.91% 22.63%
22 2013-09-29 54.3 @ Progres Niedercorn 1 1316 59.29% Racing FC Union Luxembourg 1 1177 18.58% 22.13%
23 2014-04-06 54.2 @ Swift Hesperange 1 1146 18.97% Jeunesse Esch 1 1342 58.75% 22.28%
24 2014-03-16 54.1 @ Rumelange 1 1158 20.21% Jeunesse Esch 1 1338 57.06% 22.73%
25 2013-11-24 54.0 @ Grevenmacher 1 1277 57.32% Racing FC Union Luxembourg 1 1156 20.02% 22.66%
# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2014-05-04 26.5 @ F91 Dudelange 5 1499 76.17% Racing FC Union Luxembourg 0 1180 8.62% 15.21%
2 2014-03-23 26.9 @ F91 Dudelange 3 1472 75.72% Rumelange 0 1159 8.83% 15.44%
3 2013-11-24 27.9 @ Differdange 03 5 1390 68.23% Swift Hesperange 0 1164 12.82% 18.95%
4 2014-05-18 27.9 @ Differdange 03 3 1422 71.41% Racing FC Union Luxembourg 0 1161 11.04% 17.55%
5 2014-03-30 28.5 @ Fola Esch 2 1487 77.57% Swift Hesperange 0 1149 7.95% 14.48%
6 2014-04-19 29.2 F91 Dudelange 3 1482 69.21% @ Swift Hesperange 0 1183 12.26% 18.53%
7 2014-05-11 29.9 @ Progres Niedercorn 4 1289 60.03% Rumelange 0 1143 18.06% 21.91%
8 2014-05-01 30.3 @ Fola Esch 3 1495 69.35% RM Hamm Benfica 0 1257 12.18% 18.47%
9 2014-03-23 30.5 @ Differdange 03 3 1405 63.59% Etzella Ettelbruck 0 1226 15.66% 20.75%
10 2013-09-22 30.6 Fola Esch 3 1425 62.87% @ Swift Hesperange 0 1192 16.13% 21.00%
11 2014-05-11 30.6 Differdange 03 7 1403 63.04% @ Swift Hesperange 0 1168 16.02% 20.94%
12 2014-05-04 31.0 @ Jeunesse Esch 3 1367 60.80% Jeunesse Canach 0 1214 17.52% 21.67%
13 2013-10-03 31.2 @ Fola Esch 3 1451 64.57% Etzella Ettelbruck 0 1262 15.04% 20.40%
14 2014-04-19 31.3 @ Fola Esch 4 1497 65.93% Progres Niedercorn 0 1295 14.19% 19.88%
15 2013-09-15 31.5 F91 Dudelange 2 1414 65.91% @ Rumelange 0 1150 14.20% 19.89%
16 2013-11-10 31.6 @ Fola Esch 2 1468 69.36% Wiltz 71 0 1229 12.17% 18.47%
17 2013-09-29 31.9 F91 Dudelange 7 1438 64.63% @ Wiltz 71 1 1187 15.00% 20.37%
18 2014-03-16 32.0 @ Fola Esch 1 1479 75.89% Racing FC Union Luxembourg 0 1164 8.75% 15.36%
19 2014-03-09 32.1 @ F91 Dudelange 2 1456 67.51% Etzella Ettelbruck 0 1237 13.24% 19.25%
20 2014-04-06 32.6 @ Differdange 03 1 1420 72.20% Rumelange 0 1150 10.62% 17.18%
21 2013-11-10 33.1 @ Etzella Ettelbruck 3 1230 51.75% Rumelange 0 1155 24.38% 23.87%
22 2014-04-27 33.1 @ F91 Dudelange 2 1488 67.58% Grevenmacher 0 1269 13.20% 19.22%
23 2013-08-25 33.3 @ Differdange 03 3 1371 54.87% UN Kaerjeng 0 1271 21.88% 23.25%
24 2014-03-23 33.3 Fola Esch 2 1481 64.53% @ Jeunesse Canach 0 1231 15.06% 20.41%
25 2013-09-22 33.5 @ F91 Dudelange 5 1419 55.31% RM Hamm Benfica 0 1315 21.54% 23.15%