2012-13 Luxembourg National Division Season

182 games

Final

Champion

Fola Esch

59 points

Relegated

No relegation

Biggest Overachiever

RM Hamm Benfica

8.24 points above expected

46 points · 37.76 expected points

Biggest Disappointment

CS Petange

12.99 points below expected

14 points · 26.99 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	Fola Esch	26	18	5	3	59	67	23	+44	50.89	+8.11
2	F91 Dudelange	26	16	7	3	55	53	20	+33	54.47	+0.53
3	Jeunesse Esch	26	16	2	8	50	53	31	+22	46.63	+3.37
4	Differdange 03	26	14	5	7	47	54	34	+20	46.18	+0.82
5	RM Hamm Benfica	26	13	7	6	46	53	38	+15	37.76	+8.24
6	Grevenmacher	26	11	9	6	42	43	32	+11	43.46	-1.46
7	Jeunesse Canach	26	10	7	9	37	40	35	+5	33.99	+3.01
8	Racing FC Union Luxembourg	26	9	6	11	33	43	44	-1	35.40	-2.40
9	UN Kaerjeng	26	9	4	13	31	44	53	-9	34.81	-3.81
10	Wiltz 71	26	9	3	14	30	42	66	-24	23.64	+6.36
11	Etzella Ettelbruck	26	6	9	11	27	41	61	-20	23.61	+3.39
12	Progres Niedercorn	26	7	4	15	25	29	45	-16	28.06	-3.06
13	CS Petange	26	3	5	18	14	21	57	-36	26.99	-12.99
14	Union 05 Kayl-Tetange	26	3	3	20	12	29	73	-44	22.06	-10.06

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	RM Hamm Benfica	46	37.76	+8.24
2	Fola Esch	59	50.89	+8.11
3	Wiltz 71	30	23.64	+6.36
4	Etzella Ettelbruck	27	23.61	+3.39
5	Jeunesse Esch	50	46.63	+3.37

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	CS Petange	14	26.99	-12.99
2	Union 05 Kayl-Tetange	12	22.06	-10.06
3	UN Kaerjeng	31	34.81	-3.81
4	Progres Niedercorn	25	28.06	-3.06
5	Racing FC Union Luxembourg	33	35.40	-2.40

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	RM Hamm Benfica	6	Apr 14 – May 12	1 in 359
2	Jeunesse Esch	5	Aug 25 – Sep 30	1 in 111
3	Fola Esch	6	Aug 19 – Oct 4	1 in 30
4	Etzella Ettelbruck	2	Oct 28 – Nov 3	1 in 18
5	Wiltz 71	2	Aug 5 – Aug 11	1 in 15

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	CS Petange	8	Sep 30 – Mar 3	1 in 515
2	Progres Niedercorn	7	Aug 5 – Sep 30	1 in 202
3	UN Kaerjeng	4	Aug 25 – Sep 30	1 in 37
4	Jeunesse Esch	2	Aug 5 – Aug 19	1 in 21
5	Racing FC Union Luxembourg	3	Apr 7 – Apr 17	1 in 19

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Grevenmacher	12	Aug 5 – Nov 11	1 in 76
2	RM Hamm Benfica	8	Aug 26 – Nov 4	1 in 46
3	Jeunesse Canach	4	Aug 5 – Aug 25	1 in 25
4	F91 Dudelange	14	Oct 21 – Apr 27	1 in 20
5	Progres Niedercorn	4	Apr 7 – Apr 21	1 in 19

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	CS Petange	16	Sep 23 – Apr 21	1 in 263
2	Differdange 03	3	Apr 17 – Apr 28	1 in 32
3	Jeunesse Canach	6	Apr 7 – May 5	1 in 27
4	Grevenmacher	5	Nov 25 – Mar 30	1 in 22
5	F91 Dudelange	3	Apr 13 – Apr 21	1 in 21

Position Race

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

Recent Form

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

Team	Elo	Season Pts	Elo Δ (5)	Points (5)	Expected (5)	Actual − Exp
Fola Esch	1466	59	+48	13	11.0	+2.0
F91 Dudelange	1469	55	+1	12	11.5	+0.5
Jeunesse Esch	1345	50	-44	9	9.7	-0.7
Differdange 03	1386	47	+10	9	8.5	+0.5
RM Hamm Benfica	1331	46	+47	13	8.3	+4.7
Grevenmacher	1300	42	+1	9	7.6	+1.4
Jeunesse Canach	1229	37	+23	7	7.9	-0.9
Racing FC Union Luxembourg	1180	33	-59	4	6.1	-2.1
UN Kaerjeng	1209	31	-31	6	7.2	-1.2
Wiltz 71	1096	30	+51	6	4.7	+1.3
Etzella Ettelbruck	1100	27	-10	4	4.1	-0.1
Progres Niedercorn	1172	25	+25	7	4.8	+2.2
CS Petange	1011	14	-23	3	3.4	-0.4
Union 05 Kayl-Tetange	980	12	-38	0	3.0	-3.0

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	CP	D0	EE	FD	FE	GRE	JC	JE	PN	RHB	RFUL	UK	U0K	W7
CS Petange	—	0-1-1 1.54	0-2-0 3.05	0-0-2 0.77	0-0-2 0.94	0-1-1 1.64	1-0-1 1.88	0-0-2 1.86	0-0-2 2.82	0-0-2 2.27	1-0-1 2.31	0-0-2 2.02	1-1-0 3.19	0-0-2 2.97
Differdange 03	1-1-0 4.05	—	1-1-0 4.37	1-0-1 2.08	1-0-1 2.38	0-0-2 3.17	2-0-0 3.88	1-0-1 3.07	2-0-0 3.94	1-0-1 3.15	2-0-0 3.70	0-2-0 3.88	1-0-1 4.57	1-1-0 4.47
Etzella Ettelbruck	0-2-0 2.51	0-1-1 1.23	—	0-0-2 0.97	0-0-2 0.99	1-0-1 1.36	1-1-0 2.01	0-0-2 1.42	0-1-1 2.54	0-1-1 1.72	1-1-0 1.64	1-0-1 1.76	1-1-0 3.02	1-1-0 3.01
F91 Dudelange	2-0-0 4.89	1-0-1 3.49	2-0-0 4.66	—	1-1-0 2.86	0-2-0 3.57	0-1-1 4.35	1-0-1 3.25	1-1-0 4.64	1-1-0 4.20	1-1-0 4.27	2-0-0 4.30	2-0-0 4.70	2-0-0 4.80
Fola Esch	2-0-0 4.69	1-0-1 3.18	2-0-0 4.64	0-1-1 2.70	—	0-2-0 3.23	1-1-0 4.23	1-0-1 3.31	2-0-0 4.31	2-0-0 3.74	1-1-0 4.15	2-0-0 3.91	2-0-0 4.28	2-0-0 4.65
Grevenmacher	1-1-0 3.94	2-0-0 2.39	1-0-1 4.23	0-2-0 2.00	0-2-0 2.33	—	1-1-0 3.53	0-1-1 2.40	1-0-1 4.06	0-1-1 3.09	0-1-1 3.46	1-0-1 3.53	2-0-0 4.39	2-0-0 4.03
Jeunesse Canach	1-0-1 3.69	0-0-2 1.70	0-1-1 3.56	1-1-0 1.25	0-1-1 1.36	0-1-1 2.04	—	1-0-1 1.48	1-0-1 3.02	1-1-0 2.00	0-1-1 2.84	1-1-0 2.36	2-0-0 3.88	2-0-0 3.31
Jeunesse Esch	2-0-0 3.73	1-0-1 2.49	2-0-0 4.17	1-0-1 2.31	1-0-1 2.25	1-1-0 3.16	1-0-1 4.11	—	1-1-0 4.19	0-0-2 3.67	1-0-1 3.38	2-0-0 3.87	2-0-0 4.47	1-0-1 4.24
Progres Niedercorn	2-0-0 2.74	0-0-2 1.64	1-1-0 3.02	0-1-1 0.98	0-0-2 1.29	1-0-1 1.53	1-0-1 2.55	0-1-1 1.40	—	1-1-0 1.74	0-0-2 1.92	0-0-2 2.55	1-0-1 3.58	0-0-2 3.03
RM Hamm Benfica	2-0-0 3.30	1-0-1 2.41	1-1-0 3.86	0-1-1 1.39	0-0-2 1.83	1-1-0 2.47	0-1-1 3.57	2-0-0 1.90	0-1-1 3.83	—	1-1-0 2.77	2-0-0 3.06	2-0-0 4.22	1-1-0 3.88
Racing FC Union Luxembourg	1-0-1 3.26	0-0-2 1.87	0-1-1 3.94	0-1-1 1.32	0-1-1 1.43	1-1-0 2.11	1-1-0 2.72	1-0-1 2.18	2-0-0 3.65	0-1-1 2.79	—	1-0-1 3.09	1-0-1 3.74	1-0-1 3.84
UN Kaerjeng	2-0-0 3.55	0-2-0 1.69	1-0-1 3.81	0-0-2 1.29	0-0-2 1.67	1-0-1 2.04	0-1-1 3.20	0-0-2 1.70	2-0-0 3.00	0-0-2 2.49	1-0-1 2.47	—	1-1-0 3.84	1-0-1 3.55
Union 05 Kayl-Tetange	0-1-1 2.37	1-0-1 1.06	0-1-1 2.54	0-0-2 0.94	0-0-2 1.35	0-0-2 1.21	0-0-2 1.70	0-0-2 1.15	1-0-1 1.98	0-0-2 1.37	1-0-1 1.83	0-1-1 1.74	—	0-0-2 3.10
Wiltz 71	2-0-0 2.59	0-1-1 1.14	0-1-1 2.55	0-0-2 0.84	0-0-2 0.98	0-0-2 1.55	0-0-2 2.26	1-0-1 1.35	2-0-0 2.53	0-1-1 1.70	1-0-1 1.73	1-0-1 2.02	2-0-0 2.46	—

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	0.87	+11.1
Allowed	0.80	-7.9
Differential	0.97	+5.4

Scoreline Distribution

Percentage of games ending with each combination of team-goals (rows) and opponent-goals (columns). The diagonal shows draws; cells below the diagonal are wins from the row team's perspective, cells above are losses. Marginal totals on the right and bottom show how often each goal count occurred regardless of opponent. Use the picker to switch between the league-wide view and any individual team.

View:

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	4.40%	4.95%	5.77%	4.12%	2.20%	0.55%	21.98%
1	4.95%	10.99%	6.04%	4.67%	1.92%	2.75%	31.32%
2	5.77%	6.04%	3.85%	3.02%	1.65%	0.82%	21.15%
3	4.12%	4.67%	3.02%	1.65%	0.82%	0.27%	14.56%
4	2.20%	1.92%	1.65%	0.82%	—	—	6.59%
5+	0.55%	2.75%	0.82%	0.27%	—	—	4.40%
Total	21.98%	31.32%	21.15%	14.56%	6.59%	4.40%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.68	1.68	+0.00
SD	1.45	1.45	2.22
CV	0.86	0.86	—
Max	9	9	+9
Min	0	0	-9

Games Played: 182

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	7.69%	11.54%	19.23%	3.85%	—	42.31%
1	3.85%	15.38%	7.69%	11.54%	—	—	38.46%
2	—	3.85%	3.85%	—	3.85%	3.85%	15.38%
3	—	3.85%	—	—	—	—	3.85%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	3.85%	30.77%	23.08%	30.77%	7.69%	3.85%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.81	2.19	-1.38
SD	0.85	1.20	1.53
CV	1.05	0.55	—
Max	3	5	+2
Min	0	0	-4

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	7.69%	3.85%	—	7.69%	—	—	19.23%
1	3.85%	7.69%	7.69%	—	—	—	19.23%
2	—	11.54%	3.85%	7.69%	—	—	23.08%
3	3.85%	15.38%	—	—	—	—	19.23%
4	7.69%	—	7.69%	—	—	—	15.38%
5+	—	—	3.85%	—	—	—	3.85%
Total	23.08%	38.46%	23.08%	15.38%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.08	1.31	+0.77
SD	1.57	1.01	1.92
CV	0.76	0.77	—
Max	6	3	+4
Min	0	0	-3

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	7.69%	3.85%	—	—	7.69%	3.85%	23.08%
1	3.85%	11.54%	—	—	3.85%	7.69%	26.92%
2	—	3.85%	11.54%	7.69%	—	—	23.08%
3	—	7.69%	3.85%	3.85%	3.85%	3.85%	23.08%
4	—	3.85%	—	—	—	—	3.85%
5+	—	—	—	—	—	—	—
Total	11.54%	30.77%	15.38%	11.54%	15.38%	15.38%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.58	2.35	-0.77
SD	1.21	1.70	2.10
CV	0.76	0.72	—
Max	4	5	+3
Min	0	0	-5

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	7.69%	7.69%	—	—	—	—	15.38%
1	7.69%	19.23%	3.85%	—	—	—	30.77%
2	—	19.23%	—	—	—	—	19.23%
3	15.38%	3.85%	—	—	—	—	19.23%
4	3.85%	—	—	3.85%	—	—	7.69%
5+	—	7.69%	—	—	—	—	7.69%
Total	34.62%	57.69%	3.85%	3.85%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.04	0.77	+1.27
SD	1.68	0.71	1.76
CV	0.83	0.92	—
Max	7	3	+6
Min	0	0	-1

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.85%	3.85%	3.85%	—	—	—	11.54%
1	7.69%	11.54%	3.85%	—	—	—	23.08%
2	3.85%	7.69%	—	—	—	—	11.54%
3	11.54%	3.85%	3.85%	3.85%	—	—	23.08%
4	3.85%	7.69%	3.85%	—	—	—	15.38%
5+	3.85%	11.54%	—	—	—	—	15.38%
Total	34.62%	46.15%	15.38%	3.85%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.58	0.88	+1.69
SD	1.72	0.82	1.91
CV	0.67	0.92	—
Max	6	3	+5
Min	0	0	-2

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	11.54%	3.85%	11.54%	—	—	—	26.92%
1	3.85%	15.38%	7.69%	—	—	—	26.92%
2	3.85%	7.69%	—	—	—	—	11.54%
3	—	3.85%	11.54%	7.69%	—	—	23.08%
4	3.85%	7.69%	—	—	—	—	11.54%
5+	—	—	—	—	—	—	—
Total	23.08%	38.46%	30.77%	7.69%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.65	1.23	+0.42
SD	1.41	0.91	1.53
CV	0.85	0.74	—
Max	4	3	+4
Min	0	0	-2

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.85%	3.85%	7.69%	—	—	—	15.38%
1	3.85%	19.23%	7.69%	11.54%	—	3.85%	46.15%
2	11.54%	7.69%	3.85%	—	—	—	23.08%
3	3.85%	3.85%	—	—	—	—	7.69%
4	3.85%	—	—	—	—	—	3.85%
5+	—	—	3.85%	—	—	—	3.85%
Total	26.92%	34.62%	23.08%	11.54%	—	3.85%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.54	1.35	+0.19
SD	1.33	1.23	1.98
CV	0.87	0.91	—
Max	6	5	+4
Min	0	0	-4

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	7.69%	7.69%	3.85%	7.69%	—	—	26.92%
1	3.85%	—	—	—	—	3.85%	7.69%
2	19.23%	3.85%	—	—	3.85%	—	26.92%
3	7.69%	—	7.69%	—	3.85%	—	19.23%
4	7.69%	3.85%	—	—	—	—	11.54%
5+	—	7.69%	—	—	—	—	7.69%
Total	46.15%	23.08%	11.54%	7.69%	7.69%	3.85%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.04	1.19	+0.85
SD	1.61	1.50	2.38
CV	0.79	1.26	—
Max	5	5	+4
Min	0	0	-4

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.85%	3.85%	11.54%	7.69%	7.69%	—	34.62%
1	7.69%	7.69%	11.54%	7.69%	—	—	34.62%
2	11.54%	—	3.85%	7.69%	—	—	23.08%
3	—	3.85%	—	—	—	—	3.85%
4	—	—	—	—	—	—	—
5+	—	3.85%	—	—	—	—	3.85%
Total	23.08%	19.23%	26.92%	23.08%	7.69%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.12	1.73	-0.62
SD	1.18	1.28	2.00
CV	1.06	0.74	—
Max	5	4	+4
Min	0	0	-4

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	7.69%	—	—	3.85%	—	11.54%
1	7.69%	11.54%	3.85%	—	—	—	23.08%
2	3.85%	11.54%	15.38%	3.85%	3.85%	—	38.46%
3	3.85%	3.85%	3.85%	—	—	—	11.54%
4	—	3.85%	3.85%	—	—	—	7.69%
5+	—	3.85%	3.85%	—	—	—	7.69%
Total	15.38%	42.31%	30.77%	3.85%	7.69%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.04	1.46	+0.58
SD	1.37	1.07	1.75
CV	0.67	0.73	—
Max	5	4	+4
Min	0	0	-4

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	7.69%	11.54%	3.85%	—	—	23.08%
1	7.69%	15.38%	3.85%	7.69%	3.85%	—	38.46%
2	3.85%	3.85%	3.85%	—	—	3.85%	15.38%
3	3.85%	7.69%	—	3.85%	—	—	15.38%
4	—	—	—	3.85%	—	—	3.85%
5+	3.85%	—	—	—	—	—	3.85%
Total	19.23%	34.62%	19.23%	19.23%	3.85%	3.85%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.65	1.69	-0.04
SD	1.87	1.44	2.55
CV	1.13	0.85	—
Max	9	6	+9
Min	0	0	-4

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.85%	3.85%	—	3.85%	—	—	11.54%
1	—	7.69%	7.69%	11.54%	7.69%	3.85%	38.46%
2	15.38%	—	3.85%	7.69%	3.85%	—	30.77%
3	3.85%	3.85%	3.85%	—	—	—	11.54%
4	—	—	—	3.85%	—	—	3.85%
5+	—	—	—	3.85%	—	—	3.85%
Total	23.08%	15.38%	15.38%	30.77%	11.54%	3.85%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.69	2.04	-0.35
SD	1.19	1.51	1.96
CV	0.70	0.74	—
Max	5	5	+3
Min	0	0	-4

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	—	15.38%	3.85%	—	—	19.23%
1	3.85%	7.69%	7.69%	15.38%	7.69%	15.38%	57.69%
2	3.85%	—	—	3.85%	7.69%	—	15.38%
3	—	3.85%	—	3.85%	—	—	7.69%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	7.69%	11.54%	23.08%	26.92%	15.38%	15.38%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.12	2.81	-1.69
SD	0.82	1.55	1.76
CV	0.73	0.55	—
Max	3	6	+2
Min	0	0	-5

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.85%	3.85%	3.85%	3.85%	7.69%	3.85%	26.92%
1	3.85%	3.85%	11.54%	—	3.85%	3.85%	26.92%
2	3.85%	3.85%	3.85%	3.85%	—	3.85%	19.23%
3	3.85%	—	7.69%	—	3.85%	—	15.38%
4	—	—	7.69%	—	—	—	7.69%
5+	—	3.85%	—	—	—	—	3.85%
Total	15.38%	15.38%	34.62%	7.69%	15.38%	11.54%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.62	2.54	-0.92
SD	1.44	2.20	2.91
CV	0.89	0.86	—
Max	5	9	+4
Min	0	0	-9

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	1469	55	54.47	+0.53	61.0%	41	43	50	54	59	64	69
Fola Esch	1466	59	50.89	+8.11	97.0%	31	40	48	51	54	59	63
Differdange 03	1386	47	46.18	+0.82	65.0%	33	36	42	46	51	57	60
Jeunesse Esch	1345	50	46.63	+3.37	75.0%	29	35	42	47	50	58	61
RM Hamm Benfica	1331	46	37.76	+8.24	99.0%	25	27	33	38	42	45	55
Grevenmacher	1300	42	43.46	-1.46	44.0%	26	33	39	43	48	54	59
Jeunesse Canach	1229	37	33.99	+3.01	73.0%	14	24	30	34	38	44	48
UN Kaerjeng	1209	31	34.81	-3.81	32.0%	19	24	30	35	40	45	50
Racing FC Union Luxembourg	1180	33	35.40	-2.40	39.0%	21	23	32	36	39	45	51
Progres Niedercorn	1172	25	28.06	-3.06	37.0%	13	16	23	29	32	38	44
Etzella Ettelbruck	1100	27	23.61	+3.39	73.0%	10	13	19	24	28	35	40
Wiltz 71	1096	30	23.64	+6.36	92.0%	11	14	20	23	27	32	37
CS Petange	1011	14	26.99	-12.99	1.0%	10	17	23	27	31	37	43
Union 05 Kayl-Tetange	980	12	22.06	-10.06	2.0%	10	14	18	22	24	33	37

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

+3.30%

No Edge

41.21%20.88%37.91%

Elo Value

Home Edge: 11.46 Elo pts.

176 Elo

0.006 goals per Elo point

0500

Scoring Tilt

Expected

-0.04 goals

Neutral

-2+0.06+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

3.1

Open

123410

Champion Preseason Odds

22%

Fola Esch, 2nd of 14

LongshotFavorite

Title Margin

Expected

0.15/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 4.91 * Some Luck: 4.91 to 7.36 * Lucky: 7.36 to 9.82 * Wild Swing: 9.82 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 1.27 * Close: 1.27 to 1.91 * Off: 1.91 to 2.55 * Way Off: 2.55 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

6.03 points

Some Luck

06.1315

Average Finish Error

Expected

1.14

Pinpoint

01.594

Biggest Overachiever

Expected 96.43%

99.00%

RM Hamm Benfica

50100

Biggest Underachiever

Expected 3.57%

1.00%

CS Petange

050

Season Outliers

Expected

4 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

0.22

Lopsided

00.170.5

Noll-Scully

Elo SD: 156.17

2.08

Wide Separation

11.651.852.052.5

Interquartile Edge

78%

Wide Edge

50%68%78%100%

Best vs. Worst

Baseline 96%

94%

Strong Edge

50%100%

Close Games

Expected

51%

Some Drama

0%50%100%

Blowouts

Expected

25%

Occasional

0%26%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

0.57

Predictable

00.572

Matchup Imbalance

0.41

Notable Separation

00.350.5

Strangeness

Expected

1.06

As Expected

01.002

Repeatability

0.69

Strong Carryover

00.430.621

Upset Rate

Expected

25%

Upset-Prone

0%23%50%

Clear Favorite Upset Rate

Expected

23%

Shaky 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 0.18 * Above Noise: 0.18 to 0.25 * Well Above Noise: 0.25 and up.

Probability calibration

0.75

Excellent

0.010.050.10.51

Calibration slope

Ideal

0.95

Calibrated

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.072

Well Within Noise

00.1230.3

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).

Team	1	2	3	4	5	6	7	8	9	10	11	12	13	14
Fola Esch	22.00%	36.00%	23.00%	7.00%	7.00%	1.00%	3.00%	1.00%	—	—	—	—	—	—
F91 Dudelange	50.00%	27.00%	10.00%	9.00%	2.00%	1.00%	1.00%	—	—	—	—	—	—	—
Jeunesse Esch	13.00%	16.00%	20.00%	23.00%	10.00%	11.00%	2.00%	2.00%	1.00%	2.00%	—	—	—	—
Differdange 03	10.00%	11.00%	21.00%	22.00%	13.00%	10.00%	6.00%	5.00%	2.00%	—	—	—	—	—
RM Hamm Benfica	—	1.00%	3.00%	13.00%	21.00%	11.00%	16.00%	10.00%	11.00%	7.00%	7.00%	—	—	—
Grevenmacher	5.00%	8.00%	17.00%	19.00%	15.00%	15.00%	10.00%	6.00%	2.00%	3.00%	—	—	—	—
Jeunesse Canach	—	—	2.00%	2.00%	10.00%	10.00%	15.00%	15.00%	17.00%	14.00%	11.00%	2.00%	1.00%	1.00%
Racing FC Union Luxembourg	—	—	1.00%	4.00%	8.00%	22.00%	13.00%	20.00%	10.00%	7.00%	7.00%	5.00%	1.00%	2.00%
UN Kaerjeng	—	1.00%	3.00%	1.00%	12.00%	10.00%	18.00%	17.00%	14.00%	10.00%	6.00%	4.00%	3.00%	1.00%
Wiltz 71	—	—	—	—	—	1.00%	—	1.00%	6.00%	10.00%	20.00%	18.00%	25.00%	19.00%
Etzella Ettelbruck	—	—	—	—	—	2.00%	2.00%	2.00%	9.00%	11.00%	11.00%	21.00%	19.00%	23.00%
Progres Niedercorn	—	—	—	—	1.00%	1.00%	10.00%	8.00%	13.00%	20.00%	13.00%	18.00%	8.00%	8.00%
CS Petange	—	—	—	—	1.00%	5.00%	2.00%	8.00%	11.00%	13.00%	17.00%	16.00%	15.00%	12.00%
Union 05 Kayl-Tetange	—	—	—	—	—	—	2.00%	5.00%	4.00%	3.00%	8.00%	16.00%	28.00%	34.00%

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
Differdange 03	100%	—	—
F91 Dudelange	100%	—	—
Fola Esch	100%	—	—
Grevenmacher	100%	—	—
Jeunesse Esch	100%	—	—
RM Hamm Benfica	100%	—	—
Jeunesse Canach	96.00%	2.00%	2.00%
Racing FC Union Luxembourg	92.00%	5.00%	3.00%
UN Kaerjeng	92.00%	4.00%	4.00%
Progres Niedercorn	66.00%	18.00%	16.00%
CS Petange	57.00%	16.00%	27.00%
Etzella Ettelbruck	37.00%	21.00%	42.00%
Wiltz 71	38.00%	18.00%	44.00%
Union 05 Kayl-Tetange	22.00%	16.00%	62.00%

Filter by Team:

Overall Game Log

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

Date	Opponent	Score	Excitement	Pre Elo	Opp Elo	Win %	Tie %	Loss %	Proj. Margin	Elo Δ	Points
2012-08-05	F91 Dudelange	L 0-1	33.2	1106	1373	12.72%	19.74%	67.54%	-1.45	-4.8	0
2012-08-05	@ Etzella Ettelbruck	W 1-0	33.2	1373	1106	67.54%	19.74%	12.72%	+1.45	+4.8	3
2012-08-05	Fola Esch	L 1-6	35.8	1198	1284	28.89%	21.93%	49.18%	-0.43	-37.0	0
2012-08-05	@ Union 05 Kayl-Tetange	W 6-1	35.8	1284	1198	49.18%	21.93%	28.89%	+0.43	+37.0	3
2012-08-05	Jeunesse Canach	D 0-0	49.9	1299	1111	62.80%	20.63%	16.56%	+1.13	-3.8	1
2012-08-05	@ Grevenmacher	D 0-0	49.9	1111	1299	16.56%	20.63%	62.80%	-1.13	+3.8	1
2012-08-05	Progres Niedercorn	W 2-1	41.8	1334	1222	55.10%	21.54%	23.35%	+0.70	+8.0	3
2012-08-05	@ Differdange 03	L 1-2	41.8	1222	1334	23.35%	21.54%	55.10%	-0.70	-8.0	0
2012-08-05	Racing FC Union Luxembourg	W 1-0	40.7	1241	1228	42.30%	22.13%	35.57%	+0.13	+12.0	3
2012-08-05	@ CS Petange	L 0-1	40.7	1228	1241	35.57%	22.13%	42.30%	-0.13	-12.0	0
2012-08-05	UN Kaerjeng	W 2-1	46.8	1229	1251	37.42%	22.15%	40.43%	-0.06	+12.5	3
2012-08-05	@ RM Hamm Benfica	L 1-2	46.8	1251	1229	40.43%	22.15%	37.42%	+0.06	-12.5	0
2012-08-05	Wiltz 71	L 0-2	45.1	1291	1109	62.27%	20.72%	17.01%	+1.10	-36.5	0
2012-08-05	@ Jeunesse Esch	W 2-0	45.1	1109	1291	17.01%	20.72%	62.27%	-1.10	+36.5	3
2012-08-11	Etzella Ettelbruck	L 1-3	48.3	1216	1101	55.36%	21.52%	23.12%	+0.72	-28.3	0
2012-08-11	@ Racing FC Union Luxembourg	W 3-1	48.3	1101	1216	23.12%	21.52%	55.36%	-0.72	+28.4	3
2012-08-11	RM Hamm Benfica	D 2-2	58.4	1115	1242	24.26%	21.62%	54.12%	-0.66	+1.6	2
2012-08-11	@ Jeunesse Canach	D 2-2	58.4	1242	1115	54.12%	21.62%	24.26%	+0.66	-1.6	4
2012-08-11	Grevenmacher	D 1-1	54.0	1321	1295	44.27%	22.09%	33.64%	+0.22	-0.7	4
2012-08-11	@ Fola Esch	D 1-1	54.0	1295	1321	33.64%	22.09%	44.27%	-0.22	+0.7	2
2012-08-11	Union 05 Kayl-Tetange	W 4-2	48.1	1146	1161	38.40%	22.15%	39.45%	-0.02	+19.0	6
2012-08-11	@ Wiltz 71	L 2-4	48.1	1161	1146	39.45%	22.15%	38.40%	+0.02	-19.0	0
2012-08-11	CS Petange	W 3-0	32.8	1342	1253	52.44%	21.74%	25.82%	+0.57	+25.2	6
2012-08-11	@ Differdange 03	L 0-3	32.8	1253	1342	25.82%	21.74%	52.44%	-0.57	-25.2	3
2012-08-12	Progres Niedercorn	W 2-0	37.1	1239	1214	44.05%	22.10%	33.85%	+0.21	+21.7	3
2012-08-12	@ UN Kaerjeng	L 0-2	37.1	1214	1239	33.85%	22.10%	44.05%	-0.21	-21.7	0
2012-08-19	Differdange 03	D 2-2	59.4	1260	1368	26.45%	21.79%	51.76%	-0.54	+1.3	4
2012-08-19	@ UN Kaerjeng	D 2-2	59.4	1368	1260	51.76%	21.79%	26.45%	+0.54	-1.3	7
2012-08-19	F91 Dudelange	L 1-5	32.1	1142	1377	14.72%	20.25%	65.02%	-1.27	-16.6	0
2012-08-19	@ Union 05 Kayl-Tetange	W 5-1	32.1	1377	1142	65.02%	20.25%	14.72%	+1.27	+16.6	6
2012-08-19	Fola Esch	L 2-3	48.9	1240	1321	29.65%	21.96%	48.39%	-0.39	-9.3	4
2012-08-19	@ RM Hamm Benfica	W 3-2	48.9	1321	1240	48.39%	21.96%	29.65%	+0.39	+9.3	7
2012-08-19	Jeunesse Canach	L 0-2	41.8	1192	1116	50.71%	21.85%	27.44%	+0.49	-30.2	0
2012-08-19	@ Progres Niedercorn	W 2-0	41.8	1116	1192	27.44%	21.85%	50.71%	-0.49	+30.2	5
2012-08-19	Racing FC Union Luxembourg	L 3-4	57.9	1254	1188	49.56%	21.91%	28.53%	+0.44	-13.7	0
2012-08-19	@ Jeunesse Esch	W 4-3	57.9	1188	1254	28.53%	21.91%	49.56%	-0.44	+13.7	3
2012-08-19	CS Petange	D 2-2	58.3	1130	1227	27.56%	21.86%	50.58%	-0.49	+1.2	4
2012-08-19	@ Etzella Ettelbruck	D 2-2	58.3	1227	1130	50.58%	21.86%	27.56%	+0.49	-1.2	4
2012-08-19	Wiltz 71	W 4-1	35.9	1295	1165	57.12%	21.36%	21.52%	+0.81	+18.2	5
2012-08-19	@ Grevenmacher	L 1-4	35.9	1165	1295	21.52%	21.36%	57.12%	-0.81	-18.2	6
2012-08-25	Jeunesse Esch	L 0-2	38.5	1226	1241	38.47%	22.15%	39.38%	-0.02	-24.0	4
2012-08-25	@ CS Petange	W 2-0	38.5	1241	1226	39.38%	22.15%	38.47%	+0.02	+24.0	3
2012-08-25	UN Kaerjeng	W 3-1	47.7	1147	1262	25.54%	21.72%	52.73%	-0.59	+27.1	8
2012-08-25	@ Jeunesse Canach	L 1-3	47.7	1262	1147	52.73%	21.72%	25.54%	+0.59	-27.1	4
2012-08-26	Etzella Ettelbruck	D 0-0	50.4	1366	1131	66.91%	19.87%	13.22%	+1.40	-4.5	8
2012-08-26	@ Differdange 03	D 0-0	50.4	1131	1366	13.22%	19.87%	66.91%	-1.40	+4.5	5
2012-08-26	RM Hamm Benfica	D 2-2	58.3	1146	1231	29.14%	21.94%	48.92%	-0.41	+1.0	7
2012-08-26	@ Wiltz 71	D 2-2	58.3	1231	1146	48.92%	21.94%	29.14%	+0.41	-1.0	5
2012-08-26	Grevenmacher	D 1-1	55.0	1394	1314	51.27%	21.82%	26.92%	+0.52	-1.7	7
2012-08-26	@ F91 Dudelange	D 1-1	55.0	1314	1394	26.92%	21.82%	51.27%	-0.52	+1.7	6
2012-08-26	Progres Niedercorn	W 4-0	28.8	1330	1162	60.94%	20.91%	18.16%	+1.02	+24.2	10
2012-08-26	@ Fola Esch	L 0-4	28.8	1162	1330	18.16%	20.91%	60.94%	-1.02	-24.2	0
2012-08-26	Union 05 Kayl-Tetange	L 0-2	41.9	1202	1125	50.80%	21.84%	27.36%	+0.50	-30.3	3
2012-08-26	@ Racing FC Union Luxembourg	W 2-0	41.9	1125	1202	27.36%	21.84%	50.80%	-0.50	+30.3	3
2012-09-16	Differdange 03	L 1-3	37.5	1174	1362	18.39%	20.94%	60.67%	-1.00	-11.2	8
2012-09-16	@ Jeunesse Canach	W 3-1	37.5	1362	1174	60.67%	20.94%	18.39%	+1.00	+11.2	11
2012-09-16	Etzella Ettelbruck	W 3-2	45.9	1265	1135	56.96%	21.37%	21.66%	+0.80	+7.1	6
2012-09-16	@ Jeunesse Esch	L 2-3	45.9	1135	1265	21.66%	21.37%	56.96%	-0.80	-7.1	5
2012-09-16	F91 Dudelange	D 1-1	54.3	1230	1392	20.71%	21.26%	58.03%	-0.86	+2.7	6
2012-09-16	@ RM Hamm Benfica	D 1-1	54.3	1392	1230	58.03%	21.26%	20.71%	+0.86	-2.7	8
2012-09-16	Fola Esch	L 1-4	37.6	1235	1354	25.10%	21.69%	53.21%	-0.61	-20.8	4
2012-09-16	@ UN Kaerjeng	W 4-1	37.6	1354	1235	53.21%	21.69%	25.10%	+0.61	+20.8	13
2012-09-16	Racing FC Union Luxembourg	D 3-3	63.2	1315	1171	58.52%	21.21%	20.27%	+0.88	-1.7	7
2012-09-16	@ Grevenmacher	D 3-3	63.2	1171	1315	20.27%	21.21%	58.52%	-0.88	+1.7	4
2012-09-16	CS Petange	L 1-3	42.1	1155	1202	34.02%	22.10%	43.88%	-0.20	-18.9	3
2012-09-16	@ Union 05 Kayl-Tetange	W 3-1	42.1	1202	1155	43.88%	22.10%	34.02%	+0.20	+18.9	7
2012-09-16	Wiltz 71	L 2-3	51.2	1138	1147	39.17%	22.15%	38.68%	+0.01	-11.6	0
2012-09-16	@ Progres Niedercorn	W 3-2	51.2	1147	1138	38.68%	22.15%	39.17%	-0.01	+11.6	10
2012-09-22	Jeunesse Esch	L 0-3	41.6	1373	1272	53.77%	21.65%	24.58%	+0.64	-46.3	11
2012-09-22	@ Differdange 03	W 3-0	41.6	1272	1373	24.58%	21.65%	53.77%	-0.64	+46.3	9
2012-09-22	UN Kaerjeng	W 3-2	53.1	1159	1214	32.91%	22.08%	45.01%	-0.25	+12.9	13
2012-09-22	@ Wiltz 71	L 2-3	53.1	1214	1159	45.01%	22.08%	32.91%	+0.25	-13.0	4
2012-09-23	RM Hamm Benfica	D 1-1	53.2	1173	1233	32.30%	22.06%	45.64%	-0.27	+0.9	5
2012-09-23	@ Racing FC Union Luxembourg	D 1-1	53.2	1233	1173	45.64%	22.06%	32.30%	+0.27	-0.9	7
2012-09-23	Grevenmacher	D 1-1	53.6	1221	1314	28.15%	21.89%	49.96%	-0.46	+1.5	8
2012-09-23	@ CS Petange	D 1-1	53.6	1314	1221	49.96%	21.89%	28.15%	+0.46	-1.5	8
2012-09-23	Jeunesse Canach	W 3-1	36.2	1375	1163	64.98%	20.26%	14.76%	+1.27	+9.1	16
2012-09-23	@ Fola Esch	L 1-3	36.2	1163	1375	14.76%	20.26%	64.98%	-1.27	-9.1	8
2012-09-23	Progres Niedercorn	W 3-0	27.4	1389	1126	69.05%	19.38%	11.57%	+1.56	+12.0	11
2012-09-23	@ F91 Dudelange	L 0-3	27.4	1126	1389	11.57%	19.38%	69.05%	-1.56	-12.0	0
2012-09-23	Union 05 Kayl-Tetange	D 3-3	62.6	1128	1137	39.39%	22.15%	38.46%	+0.02	-0.0	6
2012-09-23	@ Etzella Ettelbruck	D 3-3	62.6	1137	1128	38.46%	22.15%	39.39%	-0.02	+0.0	4
2012-09-26	Jeunesse Esch	L 0-1	47.3	1401	1318	51.64%	21.79%	26.57%	+0.54	-16.3	11
2012-09-26	@ F91 Dudelange	W 1-0	47.3	1318	1401	26.57%	21.79%	51.64%	-0.54	+16.3	12
2012-09-30	Differdange 03	W 2-1	45.2	1384	1327	48.35%	21.96%	29.69%	+0.39	+9.8	19
2012-09-30	@ Fola Esch	L 1-2	45.2	1327	1384	29.69%	21.96%	48.35%	-0.39	-9.8	11
2012-09-30	Etzella Ettelbruck	W 4-1	34.3	1312	1128	62.44%	20.69%	16.87%	+1.11	+14.6	11
2012-09-30	@ Grevenmacher	L 1-4	34.3	1128	1312	16.87%	20.69%	62.44%	-1.11	-14.6	6
2012-09-30	F91 Dudelange	L 1-3	37.9	1201	1385	18.73%	21.00%	60.28%	-0.98	-11.4	4
2012-09-30	@ UN Kaerjeng	W 3-1	37.9	1385	1201	60.28%	21.00%	18.73%	+0.98	+11.3	14
2012-09-30	Jeunesse Esch	L 0-2	31.8	1137	1334	17.57%	20.81%	61.61%	-1.06	-12.4	4
2012-09-30	@ Union 05 Kayl-Tetange	W 2-0	31.8	1334	1137	61.61%	20.81%	17.57%	+1.06	+12.4	15
2012-09-30	Racing FC Union Luxembourg	L 0-1	39.4	1114	1174	32.26%	22.06%	45.69%	-0.27	-11.1	0
2012-09-30	@ Progres Niedercorn	W 1-0	39.4	1174	1114	45.69%	22.06%	32.26%	+0.27	+11.1	8
2012-09-30	CS Petange	W 5-2	43.9	1232	1222	41.87%	22.13%	36.00%	+0.12	+24.2	10
2012-09-30	@ RM Hamm Benfica	L 2-5	43.9	1222	1232	36.00%	22.13%	41.87%	-0.12	-24.2	8
2012-09-30	Wiltz 71	W 6-2	42.2	1153	1172	37.91%	22.15%	39.94%	-0.04	+33.2	11
2012-09-30	@ Jeunesse Canach	L 2-6	42.2	1172	1153	39.94%	22.15%	37.91%	+0.04	-33.2	13
2012-10-03	Jeunesse Canach	L 0-1	49.4	1397	1187	64.78%	20.30%	14.92%	+1.25	-20.1	14
2012-10-03	@ F91 Dudelange	W 1-0	49.4	1187	1397	14.92%	20.30%	64.78%	-1.25	+20.1	14
2012-10-04	RM Hamm Benfica	D 2-2	58.5	1114	1256	22.67%	21.48%	55.85%	-0.74	+1.8	7
2012-10-04	@ Etzella Ettelbruck	D 2-2	58.5	1256	1114	55.85%	21.48%	22.67%	+0.74	-1.8	11
2012-10-04	Fola Esch	L 0-3	28.2	1139	1394	13.44%	19.93%	66.63%	-1.38	-13.9	13
2012-10-04	@ Wiltz 71	W 3-0	28.2	1394	1139	66.63%	19.93%	13.44%	+1.38	+13.9	22
2012-10-04	Grevenmacher	D 0-0	50.8	1347	1327	43.39%	22.11%	34.50%	+0.18	-0.7	16
2012-10-04	@ Jeunesse Esch	D 0-0	50.8	1327	1347	34.50%	22.11%	43.39%	-0.18	+0.7	12
2012-10-04	Union 05 Kayl-Tetange	W 3-1	36.4	1317	1124	63.26%	20.56%	16.18%	+1.16	+9.9	14
2012-10-04	@ Differdange 03	L 1-3	36.4	1124	1317	16.18%	20.56%	63.26%	-1.16	-9.9	4
2012-10-07	Progres Niedercorn	L 0-2	42.5	1198	1103	53.08%	21.70%	25.22%	+0.61	-31.5	8
2012-10-07	@ CS Petange	W 2-0	42.5	1103	1198	25.22%	21.70%	53.08%	-0.61	+31.5	3
2012-10-20	Differdange 03	L 0-4	28.4	1125	1327	17.24%	20.76%	62.01%	-1.08	-23.0	13
2012-10-20	@ Wiltz 71	W 4-0	28.4	1327	1125	62.01%	20.76%	17.24%	+1.08	+23.1	17
2012-10-21	Etzella Ettelbruck	W 5-1	38.1	1134	1115	43.23%	22.11%	34.66%	+0.17	+35.0	6
2012-10-21	@ Progres Niedercorn	L 1-5	38.1	1115	1134	34.66%	22.11%	43.23%	-0.17	-35.0	7
2012-10-21	F91 Dudelange	L 1-2	51.1	1408	1376	44.90%	22.08%	33.03%	+0.24	-13.6	22
2012-10-21	@ Fola Esch	W 2-1	51.1	1376	1408	33.03%	22.08%	44.90%	-0.24	+13.6	17
2012-10-21	Jeunesse Esch	W 1-0	45.5	1254	1346	28.23%	21.89%	49.88%	-0.46	+15.8	14
2012-10-21	@ RM Hamm Benfica	L 0-1	45.5	1346	1254	49.88%	21.89%	28.23%	+0.46	-15.8	16
2012-10-21	Racing FC Union Luxembourg	D 1-1	53.1	1207	1185	43.61%	22.11%	34.29%	+0.19	-0.6	15
2012-10-21	@ Jeunesse Canach	D 1-1	53.1	1185	1207	34.29%	22.11%	43.61%	-0.19	+0.6	9
2012-10-21	Union 05 Kayl-Tetange	W 2-1	38.5	1327	1114	65.05%	20.25%	14.70%	+1.27	+5.2	15
2012-10-21	@ Grevenmacher	L 1-2	38.5	1114	1327	14.70%	20.25%	65.05%	-1.27	-5.2	4
2012-10-21	CS Petange	W 3-0	34.7	1190	1167	43.76%	22.10%	34.13%	+0.19	+31.8	7
2012-10-21	@ UN Kaerjeng	L 0-3	34.7	1167	1190	34.13%	22.10%	43.76%	-0.19	-31.8	8
2012-10-28	RM Hamm Benfica	L 1-5	33.9	1109	1270	20.84%	21.28%	57.88%	-0.85	-22.8	4
2012-10-28	@ Union 05 Kayl-Tetange	W 5-1	33.9	1270	1109	57.88%	21.28%	20.84%	+0.85	+22.8	17
2012-10-28	Fola Esch	L 0-1	35.1	1186	1394	16.75%	20.67%	62.59%	-1.12	-6.3	9
2012-10-28	@ Racing FC Union Luxembourg	W 1-0	35.1	1394	1186	62.59%	20.67%	16.75%	+1.12	+6.3	25
2012-10-28	Grevenmacher	L 2-3	54.0	1350	1333	43.00%	22.12%	34.89%	+0.16	-12.5	17
2012-10-28	@ Differdange 03	W 3-2	54.0	1333	1350	34.89%	22.12%	43.00%	-0.16	+12.5	18
2012-10-28	Jeunesse Canach	L 1-2	43.7	1135	1206	30.81%	22.01%	47.18%	-0.34	-10.1	8
2012-10-28	@ CS Petange	W 2-1	43.7	1206	1135	47.18%	22.01%	30.81%	+0.34	+10.1	18
2012-10-28	Progres Niedercorn	D 0-0	50.1	1330	1170	60.24%	21.00%	18.76%	+0.98	-3.4	17
2012-10-28	@ Jeunesse Esch	D 0-0	50.1	1170	1330	18.76%	21.00%	60.24%	-0.98	+3.4	7
2012-10-28	UN Kaerjeng	W 3-1	48.4	1080	1221	22.80%	21.49%	55.71%	-0.73	+28.5	10
2012-10-28	@ Etzella Ettelbruck	L 1-3	48.4	1221	1080	55.71%	21.49%	22.80%	+0.73	-28.5	7
2012-10-28	Wiltz 71	W 7-1	29.0	1390	1102	70.83%	18.90%	10.26%	+1.70	+16.8	20
2012-10-28	@ F91 Dudelange	L 1-7	29.0	1102	1390	10.26%	18.90%	70.83%	-1.70	-16.8	13
2012-11-03	Etzella Ettelbruck	L 1-2	50.6	1216	1109	54.48%	21.60%	23.92%	+0.67	-16.1	18
2012-11-03	@ Jeunesse Canach	W 2-1	50.6	1109	1216	23.92%	21.60%	54.48%	-0.67	+16.1	13
2012-11-03	Union 05 Kayl-Tetange	L 1-3	47.3	1173	1086	52.05%	21.77%	26.18%	+0.56	-26.8	7
2012-11-03	@ Progres Niedercorn	W 3-1	47.3	1086	1173	26.18%	21.77%	52.05%	-0.56	+26.8	7
2012-11-04	Differdange 03	W 3-0	35.2	1407	1337	49.92%	21.89%	28.19%	+0.46	+27.2	23
2012-11-04	@ F91 Dudelange	L 0-3	35.2	1337	1407	28.19%	21.89%	49.92%	-0.46	-27.2	17
2012-11-04	Grevenmacher	D 1-1	54.2	1293	1345	33.26%	22.08%	44.66%	-0.23	+0.8	18
2012-11-04	@ RM Hamm Benfica	D 1-1	54.2	1345	1293	44.66%	22.08%	33.26%	+0.23	-0.8	19
2012-11-04	Jeunesse Esch	L 2-3	46.8	1193	1327	23.51%	21.56%	54.93%	-0.70	-7.6	7
2012-11-04	@ UN Kaerjeng	W 3-2	46.8	1327	1193	54.93%	21.56%	23.51%	+0.70	+7.6	20
2012-11-04	Racing FC Union Luxembourg	L 0-9	34.3	1085	1179	27.94%	21.88%	50.19%	-0.47	-75.9	13
2012-11-04	@ Wiltz 71	W 9-0	34.3	1179	1085	50.19%	21.88%	27.94%	+0.47	+75.9	12
2012-11-04	CS Petange	W 3-0	27.2	1400	1125	69.92%	19.15%	10.93%	+1.63	+11.3	28
2012-11-04	@ Fola Esch	L 0-3	27.2	1125	1400	10.93%	19.15%	69.92%	-1.63	-11.4	8
2012-11-10	F91 Dudelange	D 1-1	55.0	1255	1434	19.21%	21.07%	59.72%	-0.95	+3.0	13
2012-11-10	@ Racing FC Union Luxembourg	D 1-1	55.0	1434	1255	59.72%	21.07%	19.21%	+0.95	-3.0	24
2012-11-10	RM Hamm Benfica	W 4-2	47.6	1310	1294	42.91%	22.12%	34.97%	+0.16	+17.3	20
2012-11-10	@ Differdange 03	L 2-4	47.6	1294	1310	34.97%	22.12%	42.91%	-0.16	-17.3	18
2012-11-10	Fola Esch	L 0-5	26.7	1125	1412	11.56%	19.37%	69.07%	-1.56	-19.3	13
2012-11-10	@ Etzella Ettelbruck	W 5-0	26.7	1412	1125	69.07%	19.37%	11.56%	+1.56	+19.3	31
2012-11-10	Jeunesse Canach	W 5-1	34.4	1335	1200	57.51%	21.32%	21.17%	+0.83	+23.1	23
2012-11-10	@ Jeunesse Esch	L 1-5	34.4	1200	1335	21.17%	21.32%	57.51%	-0.83	-23.1	18
2012-11-11	Progres Niedercorn	W 3-2	44.1	1344	1146	63.75%	20.48%	15.77%	+1.19	+5.3	22
2012-11-11	@ Grevenmacher	L 2-3	44.1	1146	1344	15.77%	20.48%	63.75%	-1.19	-5.3	7
2012-11-11	UN Kaerjeng	D 1-1	53.1	1113	1185	30.67%	22.00%	47.33%	-0.34	+1.2	8
2012-11-11	@ Union 05 Kayl-Tetange	D 1-1	53.1	1185	1113	47.33%	22.00%	30.67%	+0.34	-1.2	8
2012-11-11	Wiltz 71	L 0-1	45.8	1114	1009	54.17%	21.62%	24.21%	+0.66	-17.0	8
2012-11-11	@ CS Petange	W 1-0	45.8	1009	1114	24.21%	21.62%	54.17%	-0.66	+17.0	16
2012-11-25	Differdange 03	L 1-3	41.9	1258	1328	31.06%	22.02%	46.93%	-0.33	-17.6	13
2012-11-25	@ Racing FC Union Luxembourg	W 3-1	41.9	1328	1258	46.93%	22.02%	31.06%	+0.33	+17.6	23
2012-11-25	Etzella Ettelbruck	D 0-0	49.3	1026	1106	29.73%	21.97%	48.31%	-0.39	+1.4	17
2012-11-25	@ Wiltz 71	D 0-0	49.3	1106	1026	48.31%	21.97%	29.73%	+0.39	-1.4	14
2012-11-25	RM Hamm Benfica	W 1-0	46.3	1141	1276	23.37%	21.55%	55.09%	-0.70	+17.3	10
2012-11-25	@ Progres Niedercorn	L 0-1	46.3	1276	1141	55.09%	21.55%	23.37%	+0.70	-17.3	18
2012-11-25	Grevenmacher	W 2-0	44.4	1184	1350	20.41%	21.23%	58.36%	-0.87	+34.4	11
2012-11-25	@ UN Kaerjeng	L 0-2	44.4	1350	1184	58.36%	21.23%	20.41%	+0.87	-34.4	22
2012-11-25	Jeunesse Esch	L 0-2	45.0	1431	1358	50.39%	21.87%	27.74%	+0.48	-30.1	31
2012-11-25	@ Fola Esch	W 2-0	45.0	1358	1431	27.74%	21.87%	50.39%	-0.48	+30.1	26
2012-11-25	Union 05 Kayl-Tetange	W 2-0	35.3	1177	1114	49.07%	21.93%	29.00%	+0.42	+19.2	21
2012-11-25	@ Jeunesse Canach	L 0-2	35.3	1114	1177	29.00%	21.93%	49.07%	-0.42	-19.2	8
2012-11-25	CS Petange	W 2-1	36.1	1431	1097	73.82%	17.97%	8.21%	+1.96	+2.9	27
2012-11-25	@ F91 Dudelange	L 1-2	36.1	1097	1431	8.21%	17.97%	73.82%	-1.96	-2.9	8
2012-12-06	UN Kaerjeng	W 3-0	34.9	1241	1218	43.68%	22.11%	34.21%	+0.19	+31.8	16
2012-12-06	@ Racing FC Union Luxembourg	L 0-3	34.9	1218	1241	34.21%	22.11%	43.68%	-0.19	-31.8	11
2013-03-03	Differdange 03	L 0-4	27.3	1104	1345	14.37%	20.17%	65.46%	-1.30	-19.4	14
2013-03-03	@ Etzella Ettelbruck	W 4-0	27.3	1345	1104	65.46%	20.17%	14.37%	+1.30	+19.4	26
2013-03-03	F91 Dudelange	D 0-0	52.0	1315	1434	25.15%	21.70%	53.15%	-0.61	+2.2	23
2013-03-03	@ Grevenmacher	D 0-0	52.0	1434	1315	53.15%	21.70%	25.15%	+0.61	-2.2	28
2013-03-03	Jeunesse Canach	D 1-1	53.1	1187	1196	39.21%	22.15%	38.64%	+0.01	-0.0	12
2013-03-03	@ UN Kaerjeng	D 1-1	53.1	1196	1187	38.64%	22.15%	39.21%	-0.01	+0.0	22
2013-03-03	Racing FC Union Luxembourg	L 0-2	32.2	1095	1273	19.31%	21.08%	59.61%	-0.94	-13.5	8
2013-03-03	@ Union 05 Kayl-Tetange	W 2-0	32.2	1273	1095	59.61%	21.08%	19.31%	+0.94	+13.5	19
2013-03-03	CS Petange	W 3-0	26.7	1388	1094	71.23%	18.79%	9.98%	+1.73	+10.4	29
2013-03-03	@ Jeunesse Esch	L 0-3	26.7	1094	1388	9.98%	18.79%	71.23%	-1.73	-10.4	8
2013-03-03	Wiltz 71	W 2-0	30.1	1259	1027	66.59%	19.94%	13.47%	+1.38	+9.6	21
2013-03-03	@ RM Hamm Benfica	L 0-2	30.1	1027	1259	13.47%	19.94%	66.59%	-1.38	-9.6	17
2013-03-06	Differdange 03	D 1-1	54.0	1083	1364	11.85%	19.47%	68.68%	-1.53	+4.3	9
2013-03-06	@ CS Petange	D 1-1	54.0	1364	1083	68.68%	19.47%	11.85%	+1.53	-4.3	27
2013-03-06	F91 Dudelange	L 0-3	39.4	1398	1432	35.79%	22.13%	42.07%	-0.13	-33.0	29
2013-03-06	@ Jeunesse Esch	W 3-0	39.4	1432	1398	42.07%	22.13%	35.79%	+0.13	+33.0	31
2013-03-06	Fola Esch	D 3-3	64.7	1317	1401	29.28%	21.94%	48.78%	-0.41	+0.8	24
2013-03-06	@ Grevenmacher	D 3-3	64.7	1401	1317	48.78%	21.94%	29.28%	+0.41	-0.8	32
2013-03-06	Jeunesse Canach	L 0-4	38.7	1269	1196	50.30%	21.87%	27.83%	+0.48	-57.0	21
2013-03-06	@ RM Hamm Benfica	W 4-0	38.7	1196	1269	27.83%	21.87%	50.30%	-0.48	+57.0	25
2013-03-06	Racing FC Union Luxembourg	D 2-2	58.7	1085	1286	17.31%	20.77%	61.92%	-1.08	+2.5	15
2013-03-06	@ Etzella Ettelbruck	D 2-2	58.7	1286	1085	61.92%	20.77%	17.31%	+1.08	-2.5	20
2013-03-06	UN Kaerjeng	L 0-2	37.7	1158	1187	36.50%	22.14%	41.36%	-0.10	-23.1	10
2013-03-06	@ Progres Niedercorn	W 2-0	37.7	1187	1158	41.36%	22.14%	36.50%	+0.10	+23.1	15
2013-03-06	Wiltz 71	L 1-5	42.4	1082	1018	49.19%	21.93%	28.88%	+0.43	-46.5	8
2013-03-06	@ Union 05 Kayl-Tetange	W 5-1	42.4	1018	1082	28.88%	21.93%	49.19%	-0.43	+46.6	20
2013-03-10	RM Hamm Benfica	W 1-0	34.2	1465	1212	68.29%	19.56%	12.15%	+1.50	+4.6	34
2013-03-10	@ F91 Dudelange	L 0-1	34.2	1212	1465	12.15%	19.56%	68.29%	-1.50	-4.6	21
2013-03-10	Grevenmacher	W 2-1	47.9	1284	1318	35.65%	22.13%	42.22%	-0.13	+12.9	23
2013-03-10	@ Racing FC Union Luxembourg	L 1-2	47.9	1318	1284	42.22%	22.13%	35.65%	+0.13	-12.9	24
2013-03-10	Jeunesse Canach	W 3-1	39.8	1360	1253	54.46%	21.60%	23.94%	+0.67	+14.1	30
2013-03-10	@ Differdange 03	L 1-3	39.8	1253	1360	23.94%	21.60%	54.46%	-0.67	-14.1	25
2013-03-10	Jeunesse Esch	L 0-4	26.5	1087	1365	12.05%	19.53%	68.42%	-1.51	-16.3	15
2013-03-10	@ Etzella Ettelbruck	W 4-0	26.5	1365	1087	68.42%	19.53%	12.05%	+1.51	+16.4	32
2013-03-10	Progres Niedercorn	W 2-1	48.5	1064	1135	30.88%	22.01%	47.11%	-0.34	+14.2	23
2013-03-10	@ Wiltz 71	L 1-2	48.5	1135	1064	47.11%	22.01%	30.88%	+0.34	-14.2	10
2013-03-10	UN Kaerjeng	W 4-1	34.8	1400	1210	63.04%	20.60%	16.36%	+1.14	+14.2	35
2013-03-10	@ Fola Esch	L 1-4	34.8	1210	1400	16.36%	20.60%	63.04%	-1.14	-14.2	15
2013-03-10	Union 05 Kayl-Tetange	D 1-1	53.0	1088	1035	47.76%	21.99%	30.26%	+0.36	-1.2	10
2013-03-10	@ CS Petange	D 1-1	53.0	1035	1088	30.26%	21.99%	47.76%	-0.36	+1.2	9
2013-03-29	RM Hamm Benfica	L 0-3	31.7	1086	1207	24.95%	21.68%	53.37%	-0.62	-24.5	10
2013-03-29	@ CS Petange	W 3-0	31.7	1207	1086	53.37%	21.68%	24.95%	+0.62	+24.5	24
2013-03-30	Fola Esch	W 1-0	46.0	1374	1414	34.93%	22.12%	42.95%	-0.16	+13.9	33
2013-03-30	@ Differdange 03	L 0-1	46.0	1414	1374	42.95%	22.12%	34.93%	+0.16	-13.9	35
2013-03-30	Grevenmacher	W 1-0	48.8	1071	1305	14.82%	20.27%	64.91%	-1.26	+20.2	18
2013-03-30	@ Etzella Ettelbruck	L 0-1	48.8	1305	1071	64.91%	20.27%	14.82%	+1.26	-20.2	24
2013-03-30	Jeunesse Canach	L 1-2	40.4	1079	1239	20.88%	21.28%	57.83%	-0.84	-7.2	23
2013-03-30	@ Wiltz 71	W 2-1	40.4	1239	1079	57.83%	21.28%	20.88%	+0.84	+7.2	28
2013-03-30	Progres Niedercorn	W 3-1	36.9	1297	1121	61.68%	20.80%	17.51%	+1.06	+10.7	26
2013-03-30	@ Racing FC Union Luxembourg	L 1-3	36.9	1121	1297	17.51%	20.80%	61.68%	-1.06	-10.7	10
2013-03-30	UN Kaerjeng	W 2-1	38.2	1469	1196	69.82%	19.18%	11.00%	+1.62	+3.9	37
2013-03-30	@ F91 Dudelange	L 1-2	38.2	1196	1469	11.00%	19.18%	69.82%	-1.62	-3.9	15
2013-03-30	Union 05 Kayl-Tetange	W 4-1	30.6	1381	1036	74.47%	17.74%	7.79%	+2.02	+6.8	35
2013-03-30	@ Jeunesse Esch	L 1-4	30.6	1036	1381	7.79%	17.74%	74.47%	-2.02	-6.8	9
2013-04-03	Fola Esch	L 0-3	27.3	1110	1400	11.36%	19.31%	69.33%	-1.58	-11.8	10
2013-04-03	@ Progres Niedercorn	W 3-0	27.3	1400	1110	69.33%	19.31%	11.36%	+1.58	+11.8	38
2013-04-07	Etzella Ettelbruck	D 1-1	53.0	1062	1091	36.39%	22.14%	41.47%	-0.10	+0.3	11
2013-04-07	@ CS Petange	D 1-1	53.0	1091	1062	41.47%	22.14%	36.39%	+0.10	-0.3	19
2013-04-07	RM Hamm Benfica	W 2-1	40.3	1412	1232	62.14%	20.74%	17.13%	+1.09	+6.0	41
2013-04-07	@ Fola Esch	L 1-2	40.3	1232	1412	17.13%	20.74%	62.14%	-1.09	-6.0	24
2013-04-07	Grevenmacher	L 0-4	27.9	1071	1285	16.32%	20.59%	63.10%	-1.15	-21.9	23
2013-04-07	@ Wiltz 71	W 4-0	27.9	1285	1071	63.10%	20.59%	16.32%	+1.15	+21.9	27
2013-04-07	Jeunesse Esch	L 0-2	37.3	1307	1388	29.57%	21.96%	48.47%	-0.39	-19.5	26
2013-04-07	@ Racing FC Union Luxembourg	W 2-0	37.3	1388	1307	48.47%	21.96%	29.57%	+0.39	+19.5	38
2013-04-07	Progres Niedercorn	L 0-2	44.1	1246	1098	58.92%	21.16%	19.92%	+0.90	-34.7	28
2013-04-07	@ Jeunesse Canach	W 2-0	44.1	1098	1246	19.92%	21.16%	58.92%	-0.90	+34.7	13
2013-04-07	UN Kaerjeng	D 0-0	50.6	1388	1192	63.61%	20.50%	15.88%	+1.18	-4.0	34
2013-04-07	@ Differdange 03	D 0-0	50.6	1192	1388	15.88%	20.50%	63.61%	-1.18	+4.0	16
2013-04-07	Union 05 Kayl-Tetange	W 3-0	24.2	1473	1029	79.64%	15.55%	4.81%	+2.58	+4.8	40
2013-04-07	@ F91 Dudelange	L 0-3	24.2	1029	1473	4.81%	15.55%	79.64%	-2.58	-4.8	9
2013-04-13	Differdange 03	L 2-4	52.8	1408	1384	43.85%	22.10%	34.05%	+0.20	-20.7	38
2013-04-13	@ Jeunesse Esch	W 4-2	52.8	1384	1408	34.05%	22.10%	43.85%	-0.20	+20.7	37
2013-04-13	F91 Dudelange	D 1-1	55.1	1133	1478	8.72%	18.22%	73.06%	-1.89	+5.0	14
2013-04-13	@ Progres Niedercorn	D 1-1	55.1	1478	1133	73.06%	18.22%	8.72%	+1.89	-4.9	41
2013-04-14	Etzella Ettelbruck	L 1-4	38.8	1025	1091	31.45%	22.03%	46.52%	-0.31	-25.1	9
2013-04-14	@ Union 05 Kayl-Tetange	W 4-1	38.8	1091	1025	46.52%	22.03%	31.45%	+0.31	+25.1	22
2013-04-14	Fola Esch	D 1-1	54.5	1212	1418	16.88%	20.69%	62.43%	-1.11	+3.4	29
2013-04-14	@ Jeunesse Canach	D 1-1	54.5	1418	1212	62.43%	20.69%	16.88%	+1.11	-3.4	42
2013-04-14	Racing FC Union Luxembourg	W 4-1	43.6	1226	1288	31.95%	22.05%	46.00%	-0.29	+34.0	27
2013-04-14	@ RM Hamm Benfica	L 1-4	43.6	1288	1226	46.00%	22.05%	31.95%	+0.29	-34.0	26
2013-04-14	CS Petange	W 3-1	35.0	1307	1062	67.65%	19.71%	12.64%	+1.45	+7.8	30
2013-04-14	@ Grevenmacher	L 1-3	35.0	1062	1307	12.64%	19.71%	67.65%	-1.45	-7.8	11
2013-04-14	Wiltz 71	W 4-3	48.6	1196	1049	58.74%	21.18%	20.08%	+0.89	+6.5	19
2013-04-14	@ UN Kaerjeng	L 3-4	48.6	1049	1196	20.08%	21.18%	58.74%	-0.89	-6.5	23
2013-04-17	Differdange 03	W 1-0	51.3	1000	1405	6.51%	16.93%	76.56%	-2.23	+23.3	12
2013-04-17	@ Union 05 Kayl-Tetange	L 0-1	51.3	1405	1000	76.56%	16.93%	6.51%	+2.23	-23.3	37
2013-04-17	Etzella Ettelbruck	W 3-2	45.4	1260	1116	58.48%	21.21%	20.31%	+0.88	+6.7	30
2013-04-17	@ RM Hamm Benfica	L 2-3	45.4	1116	1260	20.31%	21.21%	58.48%	-0.88	-6.7	22
2013-04-17	F91 Dudelange	D 1-1	55.4	1215	1473	13.23%	19.88%	66.89%	-1.40	+4.1	30
2013-04-17	@ Jeunesse Canach	D 1-1	55.4	1473	1215	66.89%	19.88%	13.23%	+1.40	-4.1	42
2013-04-17	Jeunesse Esch	L 0-2	37.7	1315	1387	30.68%	22.00%	47.31%	-0.34	-20.1	30
2013-04-17	@ Grevenmacher	W 2-0	37.7	1387	1315	47.31%	22.00%	30.68%	+0.34	+20.1	41
2013-04-17	Racing FC Union Luxembourg	W 2-0	40.3	1202	1254	33.34%	22.09%	44.57%	-0.23	+27.1	22
2013-04-17	@ UN Kaerjeng	L 0-2	40.3	1254	1202	44.57%	22.09%	33.34%	+0.23	-27.1	26
2013-04-17	CS Petange	W 1-0	37.6	1138	1054	51.68%	21.79%	26.53%	+0.54	+9.4	17
2013-04-17	@ Progres Niedercorn	L 0-1	37.6	1054	1138	26.53%	21.79%	51.68%	-0.54	-9.4	11
2013-04-17	Wiltz 71	W 1-0	30.6	1415	1043	75.98%	17.17%	6.85%	+2.17	+2.6	45
2013-04-17	@ Fola Esch	L 0-1	30.6	1043	1415	6.85%	17.17%	75.98%	-2.17	-2.6	23
2013-04-21	RM Hamm Benfica	L 0-1	48.5	1407	1266	58.19%	21.25%	20.57%	+0.86	-18.2	41
2013-04-21	@ Jeunesse Esch	W 1-0	48.5	1266	1407	20.57%	21.25%	58.19%	-0.86	+18.2	33
2013-04-21	Fola Esch	D 0-0	55.3	1469	1417	47.66%	21.99%	30.35%	+0.36	-1.3	43
2013-04-21	@ F91 Dudelange	D 0-0	55.3	1417	1469	30.35%	21.99%	47.66%	-0.36	+1.3	46
2013-04-21	Grevenmacher	L 1-2	37.4	1023	1295	12.39%	19.64%	67.97%	-1.48	-4.4	12
2013-04-21	@ Union 05 Kayl-Tetange	W 2-1	37.4	1295	1023	67.97%	19.64%	12.39%	+1.48	+4.4	33
2013-04-21	Jeunesse Canach	W 1-0	40.9	1227	1219	41.65%	22.14%	36.22%	+0.11	+12.2	29
2013-04-21	@ Racing FC Union Luxembourg	L 0-1	40.9	1219	1227	36.22%	22.14%	41.65%	-0.11	-12.2	30
2013-04-21	Progres Niedercorn	D 1-1	53.0	1109	1147	35.17%	22.12%	42.71%	-0.15	+0.5	23
2013-04-21	@ Etzella Ettelbruck	D 1-1	53.0	1147	1109	42.71%	22.12%	35.17%	+0.15	-0.5	18
2013-04-21	UN Kaerjeng	L 1-3	37.1	1045	1229	18.73%	21.00%	60.27%	-0.98	-11.4	11
2013-04-21	@ CS Petange	W 3-1	37.1	1229	1045	60.27%	21.00%	18.73%	+0.98	+11.4	25
2013-04-21	Wiltz 71	D 1-1	54.5	1382	1040	74.22%	17.83%	7.95%	+2.00	-5.1	38
2013-04-21	@ Differdange 03	D 1-1	54.5	1040	1382	7.95%	17.83%	74.22%	-2.00	+5.1	24
2013-04-27	F91 Dudelange	L 1-2	34.9	1046	1468	5.99%	16.56%	77.45%	-2.33	-2.1	24
2013-04-27	@ Wiltz 71	W 2-1	34.9	1468	1046	77.45%	16.56%	5.99%	+2.33	+2.1	46
2013-04-27	CS Petange	L 1-2	52.4	1207	1034	61.44%	20.84%	17.72%	+1.05	-18.0	30
2013-04-27	@ Jeunesse Canach	W 2-1	52.4	1034	1207	17.72%	20.84%	61.44%	-1.05	+18.0	14
2013-04-28	Differdange 03	W 3-2	55.4	1299	1376	30.04%	21.98%	47.98%	-0.37	+13.7	36
2013-04-28	@ Grevenmacher	L 2-3	55.4	1376	1299	47.98%	21.98%	30.04%	+0.37	-13.7	38
2013-04-28	Etzella Ettelbruck	W 5-3	44.9	1240	1110	57.11%	21.36%	21.53%	+0.81	+10.9	28
2013-04-28	@ UN Kaerjeng	L 3-5	44.9	1110	1240	21.53%	21.36%	57.11%	-0.81	-10.9	23
2013-04-28	Jeunesse Esch	L 0-4	27.6	1147	1389	14.28%	20.15%	65.57%	-1.31	-19.3	18
2013-04-28	@ Progres Niedercorn	W 4-0	27.6	1389	1147	65.57%	20.15%	14.28%	+1.31	+19.3	44
2013-04-28	Racing FC Union Luxembourg	D 1-1	54.8	1419	1239	62.07%	20.75%	17.19%	+1.08	-3.3	47
2013-04-28	@ Fola Esch	D 1-1	54.8	1239	1419	17.19%	20.75%	62.07%	-1.08	+3.3	30
2013-04-28	Union 05 Kayl-Tetange	W 3-1	34.5	1284	1018	69.24%	19.33%	11.43%	+1.57	+7.1	36
2013-04-28	@ RM Hamm Benfica	L 1-3	34.5	1018	1284	11.43%	19.33%	69.24%	-1.57	-7.1	12
2013-05-05	F91 Dudelange	W 2-1	54.2	1363	1470	26.47%	21.79%	51.74%	-0.54	+15.4	41
2013-05-05	@ Differdange 03	L 1-2	54.2	1470	1363	51.74%	21.79%	26.47%	+0.54	-15.4	46
2013-05-05	RM Hamm Benfica	L 1-2	48.4	1313	1292	43.56%	22.11%	34.33%	+0.19	-13.3	36
2013-05-05	@ Grevenmacher	W 2-1	48.4	1292	1313	34.33%	22.11%	43.56%	-0.19	+13.3	39
2013-05-05	Fola Esch	L 0-2	28.1	1052	1415	7.97%	17.84%	74.20%	-2.00	-5.7	14
2013-05-05	@ CS Petange	W 2-0	28.1	1415	1052	74.20%	17.84%	7.97%	+2.00	+5.7	50
2013-05-05	Jeunesse Canach	D 1-1	53.1	1099	1189	28.48%	21.91%	49.61%	-0.44	+1.5	24
2013-05-05	@ Etzella Ettelbruck	D 1-1	53.1	1189	1099	49.61%	21.91%	28.48%	+0.44	-1.5	31
2013-05-05	Progres Niedercorn	L 1-3	39.3	1011	1128	25.44%	21.72%	52.84%	-0.59	-14.9	12
2013-05-05	@ Union 05 Kayl-Tetange	W 3-1	39.3	1128	1011	52.84%	21.72%	25.44%	+0.59	+14.9	21
2013-05-05	UN Kaerjeng	W 5-1	34.5	1408	1251	59.84%	21.05%	19.11%	+0.95	+21.1	47
2013-05-05	@ Jeunesse Esch	L 1-5	34.5	1251	1408	19.11%	21.05%	59.84%	-0.95	-21.1	28
2013-05-05	Wiltz 71	L 0-3	43.0	1242	1043	63.80%	20.47%	15.73%	+1.19	-54.3	30
2013-05-05	@ Racing FC Union Luxembourg	W 3-0	43.0	1043	1242	15.73%	20.47%	63.80%	-1.19	+54.3	27
2013-05-12	Differdange 03	W 2-1	50.2	1305	1378	30.52%	22.00%	47.48%	-0.35	+14.3	42
2013-05-12	@ RM Hamm Benfica	L 1-2	50.2	1378	1305	47.48%	22.00%	30.52%	+0.35	-14.3	41
2013-05-12	Etzella Ettelbruck	W 5-1	29.7	1421	1100	72.96%	18.26%	8.78%	+1.88	+9.9	53
2013-05-12	@ Fola Esch	L 1-5	29.7	1100	1421	8.78%	18.26%	72.96%	-1.88	-9.9	24
2013-05-12	Grevenmacher	W 2-0	43.9	1142	1300	21.19%	21.32%	57.49%	-0.83	+33.9	24
2013-05-12	@ Progres Niedercorn	L 0-2	43.9	1300	1142	57.49%	21.32%	21.19%	+0.83	-33.9	36
2013-05-12	Jeunesse Esch	W 3-0	44.4	1187	1429	14.28%	20.15%	65.57%	-1.31	+55.7	34
2013-05-12	@ Jeunesse Canach	L 0-3	44.4	1429	1187	65.57%	20.15%	14.28%	+1.31	-55.7	47
2013-05-12	Racing FC Union Luxembourg	W 2-1	38.2	1454	1188	69.29%	19.32%	11.39%	+1.58	+4.1	49
2013-05-12	@ F91 Dudelange	L 1-2	38.2	1188	1454	11.39%	19.32%	69.29%	-1.58	-4.1	30
2013-05-12	Union 05 Kayl-Tetange	W 3-2	42.8	1230	997	66.76%	19.91%	13.33%	+1.39	+4.5	31
2013-05-12	@ UN Kaerjeng	L 2-3	42.8	997	1230	13.33%	19.91%	66.76%	-1.39	-4.5	12
2013-05-12	CS Petange	W 4-2	45.2	1098	1046	47.65%	21.99%	30.36%	+0.36	+15.4	30
2013-05-12	@ Wiltz 71	L 2-4	45.2	1046	1098	30.36%	21.99%	47.65%	-0.36	-15.4	14
2013-05-22	F91 Dudelange	L 0-4	23.8	1031	1459	5.83%	16.43%	77.75%	-2.36	-7.7	14
2013-05-22	@ CS Petange	W 4-0	23.8	1459	1031	77.75%	16.43%	5.83%	+2.36	+7.7	52
2013-05-22	Fola Esch	L 1-5	41.2	1374	1431	32.61%	22.07%	45.32%	-0.26	-33.3	47
2013-05-22	@ Jeunesse Esch	W 5-1	41.2	1431	1374	45.32%	22.07%	32.61%	+0.26	+33.4	56
2013-05-22	Jeunesse Canach	L 0-2	30.1	992	1243	13.69%	20.00%	66.31%	-1.36	-9.8	12
2013-05-22	@ Union 05 Kayl-Tetange	W 2-0	30.1	1243	992	66.31%	20.00%	13.69%	+1.36	+9.8	37
2013-05-22	Progres Niedercorn	D 2-2	58.8	1319	1176	58.38%	21.22%	20.39%	+0.87	-2.1	43
2013-05-22	@ RM Hamm Benfica	D 2-2	58.8	1176	1319	20.39%	21.22%	58.38%	-0.87	+2.1	25
2013-05-22	Racing FC Union Luxembourg	W 6-2	35.4	1364	1184	62.10%	20.74%	17.16%	+1.09	+16.2	44
2013-05-22	@ Differdange 03	L 2-6	35.4	1184	1364	17.16%	20.74%	62.10%	-1.09	-16.2	30
2013-05-22	UN Kaerjeng	W 1-0	40.0	1266	1235	44.88%	22.08%	33.04%	+0.24	+11.3	39
2013-05-22	@ Grevenmacher	L 0-1	40.0	1235	1266	33.04%	22.08%	44.88%	-0.24	-11.3	31
2013-05-22	Wiltz 71	W 3-2	51.6	1090	1113	37.32%	22.15%	40.54%	-0.06	+11.9	27
2013-05-22	@ Etzella Ettelbruck	L 2-3	51.6	1113	1090	40.54%	22.15%	37.32%	+0.06	-11.9	30
2013-05-26	Differdange 03	L 1-2	39.8	1178	1380	17.26%	20.76%	61.98%	-1.08	-6.1	25
2013-05-26	@ Progres Niedercorn	W 2-1	39.8	1380	1178	61.98%	20.76%	17.26%	+1.08	+6.1	47
2013-05-26	Etzella Ettelbruck	W 4-3	44.2	1466	1102	75.54%	17.34%	7.12%	+2.13	+2.3	55
2013-05-26	@ F91 Dudelange	L 3-4	44.2	1102	1466	7.12%	17.34%	75.54%	-2.13	-2.3	27
2013-05-26	RM Hamm Benfica	L 2-4	45.1	1223	1317	28.05%	21.88%	50.07%	-0.47	-14.4	31
2013-05-26	@ UN Kaerjeng	W 4-2	45.1	1317	1223	50.07%	21.88%	28.05%	+0.47	+14.4	46
2013-05-26	Grevenmacher	L 0-2	38.3	1253	1277	37.10%	22.14%	40.75%	-0.07	-23.4	37
2013-05-26	@ Jeunesse Canach	W 2-0	38.3	1277	1253	40.75%	22.14%	37.10%	+0.07	+23.4	42
2013-05-26	Jeunesse Esch	L 1-2	38.4	1101	1340	14.49%	20.20%	65.31%	-1.29	-5.2	30
2013-05-26	@ Wiltz 71	W 2-1	38.4	1340	1101	65.31%	20.20%	14.49%	+1.29	+5.2	50
2013-05-26	Union 05 Kayl-Tetange	W 4-2	35.4	1464	982	81.34%	14.68%	3.99%	+2.80	+2.1	59
2013-05-26	@ Fola Esch	L 2-4	35.4	982	1464	3.99%	14.68%	81.34%	-2.80	-2.1	12
2013-05-26	CS Petange	W 3-1	37.6	1168	1023	58.58%	21.20%	20.21%	+0.88	+12.2	33
2013-05-26	@ Racing FC Union Luxembourg	L 1-3	37.6	1023	1168	20.21%	21.20%	58.58%	-0.88	-12.2	14

Biggest Upsets

The 25 games where the underdog won despite the lowest pregame win probability. Underdog Win % is the winner's pregame chance of winning the game (lower = bigger upset). @ before a team name indicates the away side. An asterisk (*) after the date marks a playoff game.

#	Date	Underdog Win %	Winning Team			Losing Team
#	Date	Underdog Win %	Team	Elo	Score	Team	Elo	Score
1	2013-04-17	6.51%	@ Union 05 Kayl-Tetange	1000	1	Differdange 03	1405	0
2	2013-05-12	14.28%	@ Jeunesse Canach	1187	3	Jeunesse Esch	1429	0
3	2013-03-30	14.82%	@ Etzella Ettelbruck	1071	1	Grevenmacher	1305	0
4	2012-10-03	14.92%	Jeunesse Canach	1187	1	@ F91 Dudelange	1397	0
5	2013-05-05	15.73%	Wiltz 71	1043	3	@ Racing FC Union Luxembourg	1242	0
6	2012-08-05	17.01%	Wiltz 71	1109	2	@ Jeunesse Esch	1291	0
7	2013-04-27	17.72%	CS Petange	1034	2	@ Jeunesse Canach	1207	1
8	2013-04-07	19.92%	Progres Niedercorn	1098	2	@ Jeunesse Canach	1246	0
9	2012-11-25	20.41%	@ UN Kaerjeng	1184	2	Grevenmacher	1350	0
10	2013-04-21	20.57%	RM Hamm Benfica	1266	1	@ Jeunesse Esch	1407	0
11	2013-05-12	21.19%	@ Progres Niedercorn	1142	2	Grevenmacher	1300	0
12	2012-10-28	22.80%	@ Etzella Ettelbruck	1080	3	UN Kaerjeng	1221	1
13	2012-08-11	23.12%	Etzella Ettelbruck	1101	3	@ Racing FC Union Luxembourg	1216	1
14	2012-11-25	23.37%	@ Progres Niedercorn	1141	1	RM Hamm Benfica	1276	0
15	2012-11-03	23.92%	Etzella Ettelbruck	1109	2	@ Jeunesse Canach	1216	1
16	2012-11-11	24.21%	Wiltz 71	1009	1	@ CS Petange	1114	0
17	2012-09-22	24.58%	Jeunesse Esch	1272	3	@ Differdange 03	1373	0
18	2012-10-07	25.22%	Progres Niedercorn	1103	2	@ CS Petange	1198	0
19	2012-08-25	25.54%	@ Jeunesse Canach	1147	3	UN Kaerjeng	1262	1
20	2012-11-03	26.18%	Union 05 Kayl-Tetange	1086	3	@ Progres Niedercorn	1173	1
21	2013-05-05	26.47%	@ Differdange 03	1363	2	F91 Dudelange	1470	1
22	2012-09-26	26.57%	Jeunesse Esch	1318	1	@ F91 Dudelange	1401	0
23	2012-08-26	27.36%	Union 05 Kayl-Tetange	1125	2	@ Racing FC Union Luxembourg	1202	0
24	2012-08-19	27.44%	Jeunesse Canach	1116	2	@ Progres Niedercorn	1192	0
25	2012-11-25	27.74%	Jeunesse Esch	1358	2	@ Fola Esch	1431	0

Biggest Elo Changes

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

#	Date	Elo Δ	Winning Team				Losing Team				Tie %
#	Date	Elo Δ	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2012-11-04	75.94	Racing FC Union Luxembourg	9	1179	50.19%	@ Wiltz 71	0	1085	27.94%	21.88%
2	2013-03-06	56.97	Jeunesse Canach	4	1196	27.83%	@ RM Hamm Benfica	0	1269	50.30%	21.87%
3	2013-05-12	55.73	@ Jeunesse Canach	3	1187	14.28%	Jeunesse Esch	0	1429	65.57%	20.15%
4	2013-05-05	54.31	Wiltz 71	3	1043	15.73%	@ Racing FC Union Luxembourg	0	1242	63.80%	20.47%
5	2013-03-06	46.56	Wiltz 71	5	1018	28.88%	@ Union 05 Kayl-Tetange	1	1082	49.19%	21.93%
6	2012-09-22	46.29	Jeunesse Esch	3	1272	24.58%	@ Differdange 03	0	1373	53.77%	21.65%
7	2012-08-05	37.00	Fola Esch	6	1284	49.18%	@ Union 05 Kayl-Tetange	1	1198	28.89%	21.93%
8	2012-08-05	36.54	Wiltz 71	2	1109	17.01%	@ Jeunesse Esch	0	1291	62.27%	20.72%
9	2012-10-21	35.02	@ Progres Niedercorn	5	1134	43.23%	Etzella Ettelbruck	1	1115	34.66%	22.11%
10	2013-04-07	34.68	Progres Niedercorn	2	1098	19.92%	@ Jeunesse Canach	0	1246	58.92%	21.16%
11	2012-11-25	34.38	@ UN Kaerjeng	2	1184	20.41%	Grevenmacher	0	1350	58.36%	21.23%
12	2013-04-14	34.05	@ RM Hamm Benfica	4	1226	31.95%	Racing FC Union Luxembourg	1	1288	46.00%	22.05%
13	2013-05-12	33.89	@ Progres Niedercorn	2	1142	21.19%	Grevenmacher	0	1300	57.49%	21.32%
14	2013-05-22	33.36	Fola Esch	5	1431	45.32%	@ Jeunesse Esch	1	1374	32.61%	22.07%
15	2012-09-30	33.22	@ Jeunesse Canach	6	1153	37.91%	Wiltz 71	2	1172	39.94%	22.15%
16	2013-03-06	33.01	F91 Dudelange	3	1432	42.07%	@ Jeunesse Esch	0	1398	35.79%	22.13%
17	2012-12-06	31.84	@ Racing FC Union Luxembourg	3	1241	43.68%	UN Kaerjeng	0	1218	34.21%	22.11%
18	2012-10-21	31.78	@ UN Kaerjeng	3	1190	43.76%	CS Petange	0	1167	34.13%	22.10%
19	2012-10-07	31.51	Progres Niedercorn	2	1103	25.22%	@ CS Petange	0	1198	53.08%	21.70%
20	2012-08-26	30.29	Union 05 Kayl-Tetange	2	1125	27.36%	@ Racing FC Union Luxembourg	0	1202	50.80%	21.84%
21	2012-08-19	30.24	Jeunesse Canach	2	1116	27.44%	@ Progres Niedercorn	0	1192	50.71%	21.85%
22	2012-11-25	30.07	Jeunesse Esch	2	1358	27.74%	@ Fola Esch	0	1431	50.39%	21.87%
23	2012-10-28	28.51	@ Etzella Ettelbruck	3	1080	22.80%	UN Kaerjeng	1	1221	55.71%	21.49%
24	2012-08-11	28.35	Etzella Ettelbruck	3	1101	23.12%	@ Racing FC Union Luxembourg	1	1216	55.36%	21.52%
25	2012-11-04	27.19	@ F91 Dudelange	3	1407	49.92%	Differdange 03	0	1337	28.19%	21.89%

Most & Least Exciting Games

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

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2013-03-06	64.7	@ Grevenmacher	3	1317	29.28%	Fola Esch	3	1401	48.78%	21.94%
2	2012-09-16	63.2	@ Grevenmacher	3	1315	58.52%	Racing FC Union Luxembourg	3	1171	20.27%	21.21%
3	2012-09-23	62.6	@ Etzella Ettelbruck	3	1128	39.39%	Union 05 Kayl-Tetange	3	1137	38.46%	22.15%
4	2012-08-19	59.4	@ UN Kaerjeng	2	1260	26.45%	Differdange 03	2	1368	51.76%	21.79%
5	2013-05-22	58.8	@ RM Hamm Benfica	2	1319	58.38%	Progres Niedercorn	2	1176	20.39%	21.22%
6	2013-03-06	58.7	@ Etzella Ettelbruck	2	1085	17.31%	Racing FC Union Luxembourg	2	1286	61.92%	20.77%
7	2012-10-04	58.5	@ Etzella Ettelbruck	2	1114	22.67%	RM Hamm Benfica	2	1256	55.85%	21.48%
8	2012-08-11	58.4	@ Jeunesse Canach	2	1115	24.26%	RM Hamm Benfica	2	1242	54.12%	21.62%
9	2012-08-19	58.3	@ Etzella Ettelbruck	2	1130	27.56%	CS Petange	2	1227	50.58%	21.86%
10	2012-08-26	58.3	@ Wiltz 71	2	1146	29.14%	RM Hamm Benfica	2	1231	48.92%	21.94%
11	2012-08-19	57.9	Racing FC Union Luxembourg	4	1188	28.53%	@ Jeunesse Esch	3	1254	49.56%	21.91%
12	2013-04-17	55.4	@ Jeunesse Canach	1	1215	13.23%	F91 Dudelange	1	1473	66.89%	19.88%
13	2013-04-28	55.4	@ Grevenmacher	3	1299	30.04%	Differdange 03	2	1376	47.98%	21.98%
14	2013-04-21	55.3	@ F91 Dudelange	0	1469	47.66%	Fola Esch	0	1417	30.35%	21.99%
15	2013-04-13	55.1	@ Progres Niedercorn	1	1133	8.72%	F91 Dudelange	1	1478	73.06%	18.22%
16	2012-08-26	55.0	@ F91 Dudelange	1	1394	51.27%	Grevenmacher	1	1314	26.92%	21.82%
17	2012-11-10	55.0	@ Racing FC Union Luxembourg	1	1255	19.21%	F91 Dudelange	1	1434	59.72%	21.07%
18	2013-04-28	54.8	@ Fola Esch	1	1419	62.07%	Racing FC Union Luxembourg	1	1239	17.19%	20.75%
19	2013-04-14	54.5	@ Jeunesse Canach	1	1212	16.88%	Fola Esch	1	1418	62.43%	20.69%
20	2013-04-21	54.5	@ Differdange 03	1	1382	74.22%	Wiltz 71	1	1040	7.95%	17.83%
21	2012-09-16	54.3	@ RM Hamm Benfica	1	1230	20.71%	F91 Dudelange	1	1392	58.03%	21.26%
22	2012-11-04	54.2	@ RM Hamm Benfica	1	1293	33.26%	Grevenmacher	1	1345	44.66%	22.08%
23	2013-05-05	54.2	@ Differdange 03	2	1363	26.47%	F91 Dudelange	1	1470	51.74%	21.79%
24	2012-08-11	54.0	@ Fola Esch	1	1321	44.27%	Grevenmacher	1	1295	33.64%	22.09%
25	2012-10-28	54.0	Grevenmacher	3	1333	34.89%	@ Differdange 03	2	1350	43.00%	22.12%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2013-05-22	23.8	F91 Dudelange	4	1459	77.75%	@ CS Petange	0	1031	5.83%	16.43%
2	2013-04-07	24.2	@ F91 Dudelange	3	1473	79.64%	Union 05 Kayl-Tetange	0	1029	4.81%	15.55%
3	2013-03-10	26.5	Jeunesse Esch	4	1365	68.42%	@ Etzella Ettelbruck	0	1087	12.05%	19.53%
4	2012-11-10	26.7	Fola Esch	5	1412	69.07%	@ Etzella Ettelbruck	0	1125	11.56%	19.37%
5	2013-03-03	26.7	@ Jeunesse Esch	3	1388	71.23%	CS Petange	0	1094	9.98%	18.79%
6	2012-11-04	27.2	@ Fola Esch	3	1400	69.92%	CS Petange	0	1125	10.93%	19.15%
7	2013-03-03	27.3	Differdange 03	4	1345	65.46%	@ Etzella Ettelbruck	0	1104	14.37%	20.17%
8	2013-04-03	27.3	Fola Esch	3	1400	69.33%	@ Progres Niedercorn	0	1110	11.36%	19.31%
9	2012-09-23	27.4	@ F91 Dudelange	3	1389	69.05%	Progres Niedercorn	0	1126	11.57%	19.38%
10	2013-04-28	27.6	Jeunesse Esch	4	1389	65.57%	@ Progres Niedercorn	0	1147	14.28%	20.15%
11	2013-04-07	27.9	Grevenmacher	4	1285	63.10%	@ Wiltz 71	0	1071	16.32%	20.59%
12	2013-05-05	28.1	Fola Esch	2	1415	74.20%	@ CS Petange	0	1052	7.97%	17.84%
13	2012-10-04	28.2	Fola Esch	3	1394	66.63%	@ Wiltz 71	0	1139	13.44%	19.93%
14	2012-10-20	28.4	Differdange 03	4	1327	62.01%	@ Wiltz 71	0	1125	17.24%	20.76%
15	2012-08-26	28.8	@ Fola Esch	4	1330	60.94%	Progres Niedercorn	0	1162	18.16%	20.91%
16	2012-10-28	29.0	@ F91 Dudelange	7	1390	70.83%	Wiltz 71	1	1102	10.26%	18.90%
17	2013-05-12	29.7	@ Fola Esch	5	1421	72.96%	Etzella Ettelbruck	1	1100	8.78%	18.26%
18	2013-03-03	30.1	@ RM Hamm Benfica	2	1259	66.59%	Wiltz 71	0	1027	13.47%	19.94%
19	2013-05-22	30.1	Jeunesse Canach	2	1243	66.31%	@ Union 05 Kayl-Tetange	0	992	13.69%	20.00%
20	2013-03-30	30.6	@ Jeunesse Esch	4	1381	74.47%	Union 05 Kayl-Tetange	1	1036	7.79%	17.74%
21	2013-04-17	30.6	@ Fola Esch	1	1415	75.98%	Wiltz 71	0	1043	6.85%	17.17%
22	2013-03-29	31.7	RM Hamm Benfica	3	1207	53.37%	@ CS Petange	0	1086	24.95%	21.68%
23	2012-09-30	31.8	Jeunesse Esch	2	1334	61.61%	@ Union 05 Kayl-Tetange	0	1137	17.57%	20.81%
24	2012-08-19	32.1	F91 Dudelange	5	1377	65.02%	@ Union 05 Kayl-Tetange	1	1142	14.72%	20.25%
25	2013-03-03	32.2	Racing FC Union Luxembourg	2	1273	59.61%	@ Union 05 Kayl-Tetange	0	1095	19.31%	21.08%