2015-16 Luxembourg National Division Season

182 games

Final

Champion

F91 Dudelange

62 points

Relegated

No relegation

Biggest Overachiever

Mondorf-les-Bains

8.02 points above expected

36 points · 27.98 expected points

Biggest Disappointment

Progres Niedercorn

10.00 points below expected

36 points · 46.00 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	5	2	62	65	21	+44	56.58	+5.42
2	Fola Esch	26	19	5	2	62	61	23	+38	54.90	+7.10
3	Differdange 03	26	17	4	5	55	63	32	+31	49.83	+5.17
4	Jeunesse Esch	26	13	7	6	46	48	30	+18	44.62	+1.38
5	UNA Strassen	26	11	5	10	38	50	50	0	30.22	+7.78
6	Progres Niedercorn	26	10	6	10	36	41	30	+11	46.00	-10.00
7	Mondorf-les-Bains	26	10	6	10	36	36	34	+2	27.98	+8.02
8	Racing FC Union Luxembourg	26	10	5	11	35	45	54	-9	30.20	+4.80
9	RM Hamm Benfica	26	9	7	10	34	52	49	+3	38.88	-4.88
10	Rumelange	26	8	4	14	28	38	52	-14	30.79	-2.79
11	Victoria Rosport	26	7	5	14	26	46	49	-3	27.95	-1.95
12	Wiltz 71	26	5	6	15	21	22	60	-38	26.60	-5.60
13	Etzella Ettelbruck	26	4	5	17	17	25	70	-45	22.38	-5.38
14	Grevenmacher	26	3	4	19	13	15	53	-38	22.36	-9.36

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	Mondorf-les-Bains	36	27.98	+8.02
2	UNA Strassen	38	30.22	+7.78
3	Fola Esch	62	54.90	+7.10
4	F91 Dudelange	62	56.58	+5.42
5	Differdange 03	55	49.83	+5.17

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Progres Niedercorn	36	46.00	-10.00
2	Grevenmacher	13	22.36	-9.36
3	Wiltz 71	21	26.60	-5.60
4	Etzella Ettelbruck	17	22.38	-5.38
5	RM Hamm Benfica	34	38.88	-4.88

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	Mondorf-les-Bains	4	Apr 10 – Apr 30	1 in 150
2	F91 Dudelange	10	Nov 29 – Apr 24	1 in 32
3	Grevenmacher	2	May 14 – May 22	1 in 31
4	Racing FC Union Luxembourg	4	Aug 23 – Sep 20	1 in 22
5	Differdange 03	5	Apr 15 – May 14	1 in 21

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Progres Niedercorn	4	Apr 9 – Apr 30	1 in 174
2	Wiltz 71	5	Mar 13 – Apr 17	1 in 33
3	Victoria Rosport	6	Aug 2 – Sep 13	1 in 28
4	Rumelange	4	Aug 23 – Sep 19	1 in 20
5	Racing FC Union Luxembourg	3	Sep 27 – Oct 25	1 in 18

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Wiltz 71	5	Apr 24 – May 22	1 in 137
2	Mondorf-les-Bains	7	Mar 13 – Apr 30	1 in 73
3	UNA Strassen	5	Aug 2 – Aug 27	1 in 70
4	F91 Dudelange	22	Aug 2 – Apr 24	1 in 43
5	Victoria Rosport	5	Apr 3 – Apr 30	1 in 23

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Grevenmacher	15	Aug 2 – Feb 28	1 in 76
2	F91 Dudelange	4	Apr 30 – May 22	1 in 71
3	Progres Niedercorn	4	Apr 9 – Apr 30	1 in 17
4	Jeunesse Esch	5	Mar 4 – Apr 10	1 in 16
5	Wiltz 71	7	Aug 2 – Sep 19	1 in 13

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	1481	62	+38	13	10.1	+2.9
F91 Dudelange	1472	62	-37	5	10.7	-5.7
Differdange 03	1406	55	+23	12	9.2	+2.8
Jeunesse Esch	1322	46	+40	10	8.8	+1.2
UNA Strassen	1108	38	-64	4	6.7	-2.7
Mondorf-les-Bains	1204	36	+36	10	6.8	+3.2
Progres Niedercorn	1272	36	-44	4	9.6	-5.6
Racing FC Union Luxembourg	1130	35	-21	5	5.0	+0.0
RM Hamm Benfica	1210	34	-17	5	8.3	-3.3
Rumelange	1133	28	-25	3	4.1	-1.1
Victoria Rosport	1174	26	+37	7	6.7	+0.3
Wiltz 71	1043	21	+40	9	4.4	+4.6
Etzella Ettelbruck	1012	17	-18	4	3.9	+0.1
Grevenmacher	1015	13	+11	6	3.9	+2.1

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	JE	MON	PN	RHB	RFUL	RUM	US	VR	W7
Differdange 03	—	2-0-0 4.83	1-1-0 2.13	0-0-2 2.42	2-0-0 4.83	1-1-0 3.24	1-1-0 4.38	2-0-0 3.14	1-0-1 3.77	1-1-0 4.19	1-0-1 4.49	2-0-0 4.08	2-0-0 4.45	1-0-1 4.33
Etzella Ettelbruck	0-0-2 0.84	—	0-0-2 0.67	0-0-2 0.71	1-1-0 2.74	0-0-2 1.29	1-1-0 1.88	0-0-2 1.13	0-1-1 1.54	0-0-2 1.86	1-0-1 1.92	0-0-2 2.56	1-0-1 2.46	0-2-0 2.57
F91 Dudelange	0-1-1 3.45	2-0-0 5.03	—	1-0-1 3.08	2-0-0 5.01	2-0-0 3.72	1-1-0 4.73	2-0-0 3.73	1-1-0 4.09	2-0-0 4.72	2-0-0 4.73	1-1-0 4.59	2-0-0 4.75	1-1-0 4.51
Fola Esch	2-0-0 3.16	2-0-0 4.98	1-0-1 2.49	—	2-0-0 4.96	1-1-0 3.59	1-1-0 4.70	1-1-0 3.56	2-0-0 4.00	1-1-0 4.68	2-0-0 4.65	1-0-1 4.49	1-1-0 4.74	2-0-0 4.58
Grevenmacher	0-0-2 0.84	0-1-1 2.83	0-0-2 0.70	0-0-2 0.73	—	0-0-2 1.38	0-1-1 1.93	1-1-0 1.15	0-0-2 1.57	0-0-2 2.25	0-1-1 1.92	1-0-1 2.44	1-0-1 1.89	0-0-2 2.47
Jeunesse Esch	0-1-1 2.33	2-0-0 4.33	0-0-2 1.86	0-1-1 1.99	2-0-0 4.24	—	1-0-1 4.07	1-1-0 2.74	1-1-0 3.33	1-1-0 3.87	1-1-0 3.92	1-0-1 3.77	1-1-0 4.06	2-0-0 4.32
Mondorf-les-Bains	0-1-1 1.25	0-1-1 3.70	0-1-1 0.93	0-1-1 0.95	1-1-0 3.67	1-0-1 1.53	—	2-0-0 1.48	1-0-1 1.94	0-0-2 2.61	1-0-1 2.86	0-1-1 2.47	2-0-0 2.87	2-0-0 2.62
Progres Niedercorn	0-0-2 2.43	2-0-0 4.50	0-0-2 1.85	0-1-1 2.02	0-1-1 4.49	0-1-1 2.83	0-0-2 4.13	—	1-1-0 3.37	1-1-0 4.18	2-0-0 3.87	1-1-0 3.93	2-0-0 3.96	1-0-1 4.46
RM Hamm Benfica	1-0-1 1.81	1-1-0 4.06	0-1-1 1.51	0-0-2 1.60	2-0-0 4.03	0-1-1 2.25	1-0-1 3.65	0-1-1 2.20	—	1-1-0 3.37	1-0-1 3.56	1-1-0 3.22	0-0-2 3.71	1-1-0 4.13
Racing FC Union Luxembourg	0-1-1 1.42	2-0-0 3.73	0-0-2 0.93	0-1-1 0.96	2-0-0 3.33	0-1-1 1.72	2-0-0 2.96	0-1-1 1.43	0-1-1 2.20	—	1-0-1 2.81	1-0-1 2.61	0-0-2 3.47	2-0-0 3.22
Rumelange	1-0-1 1.14	1-0-1 3.66	0-0-2 0.93	0-0-2 1.00	1-1-0 3.66	0-1-1 1.67	1-0-1 2.71	0-0-2 1.72	1-0-1 2.02	1-0-1 2.76	—	0-0-2 2.93	1-1-0 3.33	1-1-0 3.07
UNA Strassen	0-0-2 1.52	2-0-0 3.02	0-1-1 1.05	1-0-1 1.14	1-0-1 3.14	1-0-1 1.82	1-1-0 3.10	0-1-1 1.67	0-1-1 2.35	1-0-1 2.96	2-0-0 2.64	—	1-1-0 3.10	1-0-1 3.57
Victoria Rosport	0-0-2 1.17	1-0-1 3.11	0-0-2 0.91	0-1-1 0.92	1-0-1 3.70	0-1-1 1.54	0-0-2 2.70	0-0-2 1.63	2-0-0 1.88	2-0-0 2.12	0-1-1 2.24	0-1-1 2.47	—	1-1-0 2.75
Wiltz 71	1-0-1 1.28	0-2-0 3.00	0-1-1 1.15	0-0-2 1.07	2-0-0 3.10	0-0-2 1.29	0-0-2 2.95	1-0-1 1.16	0-1-1 1.47	0-0-2 2.35	0-1-1 2.50	1-0-1 2.01	0-1-1 2.82	—

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	0.83	+9.2
Allowed	0.75	-9.0
Differential	0.92	+5.3

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	5.49%	6.04%	5.49%	3.02%	2.47%	2.47%	25.00%
1	6.04%	8.24%	6.87%	2.47%	2.47%	1.37%	27.47%
2	5.49%	6.87%	6.04%	2.47%	2.75%	0.55%	24.18%
3	3.02%	2.47%	2.47%	0.55%	0.82%	0.27%	9.62%
4	2.47%	2.47%	2.75%	0.82%	—	0.27%	8.79%
5+	2.47%	1.37%	0.55%	0.27%	0.27%	—	4.95%
Total	25.00%	27.47%	24.18%	9.62%	8.79%	4.95%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.67	1.67	+0.00
SD	1.49	1.49	2.28
CV	0.89	0.89	—
Max	7	7	+6
Min	0	0	-6

Games Played: 182

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	—	—	3.85%	—	—	3.85%
1	15.38%	7.69%	—	—	3.85%	—	26.92%
2	3.85%	7.69%	7.69%	3.85%	7.69%	—	30.77%
3	7.69%	—	7.69%	—	—	—	15.38%
4	3.85%	7.69%	—	—	—	—	11.54%
5+	11.54%	—	—	—	—	—	11.54%
Total	42.31%	23.08%	15.38%	7.69%	11.54%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.42	1.23	+1.19
SD	1.50	1.39	2.37
CV	0.62	1.13	—
Max	6	4	+6
Min	0	0	-3

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	7.69%	7.69%	—	11.54%	11.54%	38.46%
1	3.85%	7.69%	7.69%	3.85%	—	3.85%	26.92%
2	3.85%	7.69%	11.54%	3.85%	3.85%	3.85%	34.62%
3	—	—	—	—	—	—	—
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	7.69%	23.08%	26.92%	7.69%	15.38%	19.23%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.96	2.69	-1.73
SD	0.87	1.85	2.25
CV	0.91	0.69	—
Max	2	6	+2
Min	0	0	-6

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	7.69%	3.85%	—	—	—	—	11.54%
1	11.54%	3.85%	—	3.85%	—	—	19.23%
2	11.54%	15.38%	7.69%	—	—	—	34.62%
3	7.69%	—	—	—	—	—	7.69%
4	—	—	7.69%	3.85%	—	—	11.54%
5+	11.54%	3.85%	—	—	—	—	15.38%
Total	50.00%	26.92%	15.38%	7.69%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.50	0.81	+1.69
SD	1.90	0.98	2.09
CV	0.76	1.21	—
Max	7	3	+6
Min	0	0	-2

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.85%	—	3.85%	—	—	—	7.69%
1	7.69%	11.54%	—	—	—	—	19.23%
2	11.54%	3.85%	3.85%	—	3.85%	—	23.08%
3	7.69%	23.08%	3.85%	—	—	—	34.62%
4	3.85%	3.85%	3.85%	—	—	—	11.54%
5+	3.85%	—	—	—	—	—	3.85%
Total	38.46%	42.31%	15.38%	—	3.85%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.35	0.88	+1.46
SD	1.26	0.95	1.61
CV	0.54	1.08	—
Max	5	4	+5
Min	0	0	-2

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	7.69%	11.54%	23.08%	11.54%	3.85%	3.85%	61.54%
1	3.85%	3.85%	7.69%	—	3.85%	3.85%	23.08%
2	—	3.85%	3.85%	3.85%	—	—	11.54%
3	3.85%	—	—	—	—	—	3.85%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	15.38%	19.23%	34.62%	15.38%	7.69%	7.69%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.58	2.04	-1.46
SD	0.86	1.43	1.77
CV	1.48	0.70	—
Max	3	5	+3
Min	0	0	-5

Games Played: 26

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.85	1.15	+0.69
SD	1.83	1.26	2.11
CV	0.99	1.09	—
Max	6	4	+6
Min	0	0	-3

Games Played: 26

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.38	1.31	+0.08
SD	1.27	1.09	1.72
CV	0.92	0.83	—
Max	5	3	+4
Min	0	0	-3

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	7.69%	15.38%	3.85%	3.85%	—	—	30.77%
1	—	7.69%	11.54%	—	—	—	19.23%
2	11.54%	7.69%	7.69%	3.85%	—	—	30.77%
3	—	—	—	—	—	—	—
4	7.69%	7.69%	3.85%	—	—	—	19.23%
5+	—	—	—	—	—	—	—
Total	26.92%	38.46%	26.92%	7.69%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.58	1.15	+0.42
SD	1.45	0.92	1.84
CV	0.92	0.80	—
Max	4	3	+4
Min	0	0	-3

Games Played: 26

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

Summary Statistics

	Scored	Allowed	Difference
Mean	2.00	1.88	+0.12
SD	1.50	1.68	2.18
CV	0.75	0.89	—
Max	5	6	+4
Min	0	0	-4

Games Played: 26

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.73	2.08	-0.35
SD	1.28	1.62	2.40
CV	0.74	0.78	—
Max	4	6	+4
Min	0	0	-6

Games Played: 26

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.46	2.00	-0.54
SD	1.24	1.57	1.90
CV	0.85	0.79	—
Max	4	5	+3
Min	0	0	-4

Games Played: 26

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.92	1.92	+0.00
SD	1.65	1.23	1.96
CV	0.86	0.64	—
Max	6	4	+4
Min	0	0	-4

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	3.85%	7.69%	3.85%	3.85%	—	—	19.23%
1	—	11.54%	19.23%	—	3.85%	3.85%	38.46%
2	3.85%	—	3.85%	7.69%	—	—	15.38%
3	—	—	3.85%	—	3.85%	—	7.69%
4	7.69%	—	3.85%	—	—	—	11.54%
5+	—	7.69%	—	—	—	—	7.69%
Total	15.38%	26.92%	34.62%	11.54%	7.69%	3.85%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.77	1.88	-0.12
SD	1.56	1.53	2.37
CV	0.88	0.81	—
Max	5	7	+4
Min	0	0	-6

Games Played: 26

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	7.69%	11.54%	11.54%	—	7.69%	11.54%	50.00%
1	3.85%	11.54%	—	3.85%	3.85%	3.85%	26.92%
2	3.85%	—	3.85%	—	3.85%	—	11.54%
3	—	—	11.54%	—	—	—	11.54%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	15.38%	23.08%	26.92%	3.85%	15.38%	15.38%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.85	2.31	-1.46
SD	1.05	1.78	2.18
CV	1.24	0.77	—
Max	3	6	+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
Fola Esch	1481	62	54.90	+7.10	84.0%	38	43	50	55	60	65	66
F91 Dudelange	1472	62	56.58	+5.42	88.0%	43	46	52	57	60	66	68
Differdange 03	1406	55	49.83	+5.17	81.0%	35	40	45	50	55	59	68
Jeunesse Esch	1322	46	44.62	+1.38	63.0%	26	34	40	45	49	54	61
Progres Niedercorn	1272	36	46.00	-10.00	2.0%	32	37	41	46	51	57	63
RM Hamm Benfica	1210	34	38.88	-4.88	24.0%	26	30	35	38	42	48	56
Mondorf-les-Bains	1204	36	27.98	+8.02	92.0%	14	18	23	28	32	37	47
Victoria Rosport	1174	26	27.95	-1.95	44.0%	13	18	24	28	32	37	41
Rumelange	1133	28	30.79	-2.79	31.0%	15	19	27	31	34	42	44
Racing FC Union Luxembourg	1130	35	30.20	+4.80	82.0%	15	20	25	30	34	40	51
UNA Strassen	1108	38	30.22	+7.78	90.0%	10	21	27	30	34	40	49
Wiltz 71	1043	21	26.60	-5.60	25.0%	12	17	21	27	31	36	43
Grevenmacher	1015	13	22.36	-9.36	5.0%	10	13	19	21	26	31	36
Etzella Ettelbruck	1012	17	22.38	-5.38	20.0%	11	14	18	22	26	32	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

+9.34%

Slight Edge

44.51%20.33%35.16%

Elo Value

Home Edge: 32.55 Elo pts.

171 Elo

0.006 goals per Elo point

0500

Scoring Tilt

Expected

+0.21 goals

Neutral

-2+0.19+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

2.7

Top-Heavy

123410

Champion Preseason Odds

45%

F91 Dudelange, 1st of 14

LongshotFavorite

Title Margin

Expected

0.00/gm

Photo Finish

00.200.5/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 4.86 * Some Luck: 4.86 to 7.3 * Lucky: 7.3 to 9.73 * Wild Swing: 9.73 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 1.29 * Close: 1.29 to 1.93 * Off: 1.93 to 2.57 * Way Off: 2.57 and up.
Biggest Overachiever: The team that finished highest inside its own range of simulated outcomes. The gold line is where the top team in a league of 14 typically lands.
Biggest Underachiever: The team that finished lowest inside its own range of simulated outcomes. The gold line is where the bottom team in a league of 14 typically lands.
Season Outliers: Number of teams that finished above the 95th or below the 5th percentile of their own simulated range. Even a well-calibrated model expects about 10% of teams in the extremes.
Minimal Outliers: under 14 * As Expected: 14 to 22.4 * Several Outliers: 22.4 to 30.8 * Many Outliers: 30.8 and up.

Luck Spread

Expected

6.21 points

Some Luck

06.0815

Average Finish Error

Expected

1.14

Pinpoint

01.614

Biggest Overachiever

Expected 96.43%

92.00%

Mondorf-les-Bains

50100

Biggest Underachiever

Expected 3.57%

2.00%

Progres Niedercorn

050

Season Outliers

Expected

1 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

0.23

Lopsided

00.170.5

Noll-Scully

Elo SD: 158.31

2.24

Wide Separation

11.651.852.052.5

Interquartile Edge

75%

Clear Edge

50%68%78%100%

Best vs. Worst

Baseline 96%

94%

Strong Edge

50%100%

Close Games

Expected

53%

Some Drama

0%49%100%

Blowouts

Expected

25%

Occasional

0%27%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

0.54

Highly Predictable

00.552

Matchup Imbalance

0.44

Notable Separation

00.350.5

Strangeness

Expected

1.06

As Expected

01.002

Repeatability

0.57

Some Carryover

00.430.621

Upset Rate

Expected

20%

Chalky

0%22%50%

Clear Favorite Upset Rate

Expected

15%

Solid Favorites

0%18%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 0.24 * Well Above Noise: 0.24 and up.

Probability calibration

0.23

Well Calibrated

0.010.050.10.51

Calibration slope

Ideal

1.10

Calibrated

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.104

Well Within Noise

00.1190.3

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
F91 Dudelange	45.00%	33.00%	17.00%	3.00%	2.00%	—	—	—	—	—	—	—	—	—
Fola Esch	40.00%	22.00%	28.00%	3.00%	6.00%	—	1.00%	—	—	—	—	—	—	—
Differdange 03	8.00%	27.00%	24.00%	20.00%	14.00%	5.00%	2.00%	—	—	—	—	—	—	—
Jeunesse Esch	2.00%	11.00%	9.00%	28.00%	28.00%	12.00%	4.00%	4.00%	—	—	1.00%	1.00%	—	—
UNA Strassen	—	—	—	2.00%	3.00%	11.00%	6.00%	15.00%	12.00%	21.00%	16.00%	7.00%	3.00%	4.00%
Progres Niedercorn	5.00%	6.00%	16.00%	35.00%	17.00%	15.00%	3.00%	2.00%	1.00%	—	—	—	—	—
Mondorf-les-Bains	—	—	1.00%	—	1.00%	3.00%	13.00%	9.00%	14.00%	15.00%	13.00%	15.00%	12.00%	4.00%
Racing FC Union Luxembourg	—	—	—	2.00%	1.00%	7.00%	18.00%	14.00%	14.00%	11.00%	8.00%	12.00%	6.00%	7.00%
RM Hamm Benfica	—	1.00%	4.00%	5.00%	22.00%	34.00%	19.00%	9.00%	2.00%	3.00%	—	1.00%	—	—
Rumelange	—	—	1.00%	1.00%	5.00%	6.00%	13.00%	21.00%	17.00%	11.00%	10.00%	6.00%	5.00%	4.00%
Victoria Rosport	—	—	—	—	1.00%	4.00%	10.00%	9.00%	21.00%	4.00%	21.00%	16.00%	9.00%	5.00%
Wiltz 71	—	—	—	1.00%	—	3.00%	7.00%	9.00%	11.00%	17.00%	12.00%	14.00%	14.00%	12.00%
Etzella Ettelbruck	—	—	—	—	—	—	2.00%	4.00%	4.00%	8.00%	10.00%	16.00%	16.00%	40.00%
Grevenmacher	—	—	—	—	—	—	2.00%	4.00%	4.00%	10.00%	9.00%	12.00%	35.00%	24.00%

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%	—	—
Jeunesse Esch	99.00%	1.00%	—
Progres Niedercorn	100%	—	—
RM Hamm Benfica	99.00%	1.00%	—
UNA Strassen	86.00%	7.00%	7.00%
Rumelange	85.00%	6.00%	9.00%
Racing FC Union Luxembourg	75.00%	12.00%	13.00%
Victoria Rosport	70.00%	16.00%	14.00%
Mondorf-les-Bains	69.00%	15.00%	16.00%
Wiltz 71	60.00%	14.00%	26.00%
Etzella Ettelbruck	28.00%	16.00%	56.00%
Grevenmacher	29.00%	12.00%	59.00%

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
2015-08-01	Fola Esch	L 0-3	38.4	1346	1384	38.46%	21.56%	39.97%	-0.03	-26.2	0
2015-08-01	@ Differdange 03	W 3-0	38.4	1384	1346	39.97%	21.56%	38.46%	+0.03	+26.2	3
2015-08-02	Etzella Ettelbruck	L 1-2	45.9	1105	1140	38.74%	21.56%	39.69%	-0.02	-9.0	0
2015-08-02	@ Victoria Rosport	W 2-1	45.9	1140	1105	39.69%	21.56%	38.74%	+0.02	+9.1	3
2015-08-02	F91 Dudelange	L 0-6	31.2	1199	1370	22.20%	20.65%	57.15%	-0.81	-31.5	0
2015-08-02	@ Wiltz 71	W 6-0	31.2	1370	1199	57.15%	20.65%	22.20%	+0.81	+31.5	3
2015-08-02	RM Hamm Benfica	L 1-4	40.0	1145	1211	34.50%	21.51%	43.99%	-0.20	-20.2	0
2015-08-02	@ Racing FC Union Luxembourg	W 4-1	40.0	1211	1145	43.99%	21.51%	34.50%	+0.20	+20.2	3
2015-08-02	Grevenmacher	W 4-1	42.8	1077	1147	34.05%	21.50%	44.45%	-0.22	+24.8	3
2015-08-02	@ UNA Strassen	L 1-4	42.8	1147	1077	44.45%	21.50%	34.05%	+0.22	-24.8	0
2015-08-02	Rumelange	L 0-3	37.0	1133	1150	41.48%	21.55%	36.97%	+0.09	-27.8	0
2015-08-02	@ Mondorf-les-Bains	W 3-0	37.0	1150	1133	36.97%	21.55%	41.48%	-0.09	+27.8	3
2015-08-03	Progres Niedercorn	D 0-0	50.2	1275	1298	40.59%	21.56%	37.85%	+0.06	-0.2	1
2015-08-03	@ Jeunesse Esch	D 0-0	50.2	1298	1275	37.85%	21.56%	40.59%	-0.06	+0.1	1
2015-08-08	RM Hamm Benfica	W 2-0	35.1	1299	1231	52.63%	21.08%	26.29%	+0.59	+13.2	4
2015-08-08	@ Progres Niedercorn	L 0-2	35.1	1231	1299	26.29%	21.08%	52.63%	-0.59	-13.2	3
2015-08-09	Differdange 03	D 1-1	53.8	1124	1320	19.92%	20.31%	59.77%	-0.95	+2.2	1
2015-08-09	@ Racing FC Union Luxembourg	D 1-1	53.8	1320	1124	59.77%	20.31%	19.92%	+0.95	-2.2	1
2015-08-09	Mondorf-les-Bains	W 2-1	36.0	1410	1106	74.31%	16.82%	8.87%	+1.97	+2.3	6
2015-08-09	@ Fola Esch	L 1-2	36.0	1106	1410	8.87%	16.82%	74.31%	-1.97	-2.3	0
2015-08-09	UNA Strassen	L 2-6	45.2	1150	1102	50.12%	21.25%	28.63%	+0.47	-30.1	3
2015-08-09	@ Etzella Ettelbruck	W 6-2	45.2	1102	1150	28.63%	21.25%	50.12%	-0.47	+30.1	6
2015-08-09	Victoria Rosport	W 7-1	28.1	1402	1096	74.42%	16.78%	8.80%	+1.98	+10.4	6
2015-08-09	@ F91 Dudelange	L 1-7	28.1	1096	1402	8.80%	16.78%	74.42%	-1.98	-10.4	0
2015-08-09	Wiltz 71	D 1-1	53.3	1178	1167	45.27%	21.47%	33.26%	+0.25	-0.6	4
2015-08-09	@ Rumelange	D 1-1	53.3	1167	1178	33.26%	21.47%	45.27%	-0.25	+0.6	1
2015-08-10	Jeunesse Esch	L 0-2	34.0	1122	1275	24.06%	20.87%	55.07%	-0.71	-12.2	0
2015-08-10	@ Grevenmacher	W 2-0	34.0	1275	1122	55.07%	20.87%	24.06%	+0.71	+12.2	4
2015-08-16	Differdange 03	D 2-2	58.9	1103	1318	18.28%	20.02%	61.70%	-1.06	+1.8	1
2015-08-16	@ Mondorf-les-Bains	D 2-2	58.9	1318	1103	61.70%	20.02%	18.28%	+1.06	-1.8	2
2015-08-16	Etzella Ettelbruck	W 6-0	28.7	1288	1119	63.52%	19.70%	16.78%	+1.17	+24.3	7
2015-08-16	@ Jeunesse Esch	L 0-6	28.7	1119	1288	16.78%	19.70%	63.52%	-1.17	-24.3	3
2015-08-16	F91 Dudelange	D 2-2	59.6	1132	1412	13.52%	18.82%	67.66%	-1.45	+2.3	7
2015-08-16	@ UNA Strassen	D 2-2	59.6	1412	1132	67.66%	18.82%	13.52%	+1.45	-2.3	7
2015-08-16	Fola Esch	L 0-2	31.8	1168	1412	15.94%	19.50%	64.56%	-1.24	-8.3	1
2015-08-16	@ Wiltz 71	W 2-0	31.8	1412	1168	64.56%	19.50%	15.94%	+1.24	+8.3	9
2015-08-16	Grevenmacher	W 3-0	31.0	1218	1110	57.35%	20.62%	22.03%	+0.82	+16.4	6
2015-08-16	@ RM Hamm Benfica	L 0-3	31.0	1110	1218	22.03%	20.62%	57.35%	-0.82	-16.4	0
2015-08-16	Racing FC Union Luxembourg	W 2-1	38.5	1312	1127	65.09%	19.39%	15.51%	+1.27	+4.1	7
2015-08-16	@ Progres Niedercorn	L 1-2	38.5	1127	1312	15.51%	19.39%	65.09%	-1.27	-4.1	1
2015-08-16	Rumelange	L 0-1	39.0	1085	1177	31.11%	21.39%	47.50%	-0.35	-8.0	0
2015-08-16	@ Victoria Rosport	W 1-0	39.0	1177	1085	47.50%	21.39%	31.11%	+0.35	+8.1	7
2015-08-22	RM Hamm Benfica	L 0-4	31.1	1095	1234	25.52%	21.01%	53.46%	-0.63	-24.4	3
2015-08-22	@ Etzella Ettelbruck	W 4-0	31.1	1234	1095	53.46%	21.01%	25.52%	+0.63	+24.4	9
2015-08-23	Jeunesse Esch	W 1-0	38.6	1410	1312	56.24%	20.75%	23.01%	+0.76	+6.2	10
2015-08-23	@ F91 Dudelange	L 0-1	38.6	1312	1410	23.01%	20.75%	56.24%	-0.76	-6.2	7
2015-08-23	Mondorf-les-Bains	W 2-1	44.0	1123	1105	46.20%	21.44%	32.36%	+0.29	+7.8	4
2015-08-23	@ Racing FC Union Luxembourg	L 1-2	44.0	1105	1123	32.36%	21.44%	46.20%	-0.29	-7.8	1
2015-08-23	Progres Niedercorn	D 0-0	50.2	1094	1316	17.66%	19.89%	62.45%	-1.11	+2.8	1
2015-08-23	@ Grevenmacher	D 0-0	50.2	1316	1094	62.45%	19.89%	17.66%	+1.11	-2.8	8
2015-08-23	UNA Strassen	L 1-2	49.4	1185	1135	50.56%	21.23%	28.21%	+0.49	-11.3	7
2015-08-23	@ Rumelange	W 2-1	49.4	1135	1185	28.21%	21.23%	50.56%	-0.49	+11.3	10
2015-08-23	Victoria Rosport	W 2-0	27.7	1421	1077	76.77%	15.87%	7.36%	+2.20	+3.8	12
2015-08-23	@ Fola Esch	L 0-2	27.7	1077	1421	7.36%	15.87%	76.77%	-2.20	-3.8	0
2015-08-23	Wiltz 71	W 5-0	28.7	1316	1160	62.38%	19.90%	17.71%	+1.11	+21.6	5
2015-08-23	@ Differdange 03	L 0-5	28.7	1160	1316	17.71%	19.90%	62.38%	-1.11	-21.6	1
2015-08-27	Differdange 03	L 2-3	43.1	1073	1338	14.54%	19.13%	66.33%	-1.36	-3.6	0
2015-08-27	@ Victoria Rosport	W 3-2	43.1	1338	1073	66.33%	19.13%	14.54%	+1.36	+3.6	8
2015-08-27	Etzella Ettelbruck	W 4-0	26.2	1313	1071	69.87%	18.24%	11.89%	+1.61	+11.8	11
2015-08-27	@ Progres Niedercorn	L 0-4	26.2	1071	1313	11.89%	18.24%	69.87%	-1.61	-11.8	3
2015-08-27	F91 Dudelange	D 0-0	51.3	1259	1416	23.61%	20.82%	55.58%	-0.73	+1.9	10
2015-08-27	@ RM Hamm Benfica	D 0-0	51.3	1416	1259	55.58%	20.82%	23.61%	+0.73	-1.9	11
2015-08-27	Fola Esch	W 4-2	56.3	1146	1425	13.60%	18.84%	67.55%	-1.44	+22.8	13
2015-08-27	@ UNA Strassen	L 2-4	56.3	1425	1146	67.55%	18.84%	13.60%	+1.44	-22.8	12
2015-08-27	Racing FC Union Luxembourg	L 0-3	36.3	1097	1130	39.04%	21.56%	39.40%	-0.01	-26.5	1
2015-08-27	@ Grevenmacher	W 3-0	36.3	1130	1097	39.40%	21.56%	39.04%	+0.01	+26.5	7
2015-08-27	Rumelange	W 1-0	35.6	1306	1174	59.89%	20.29%	19.81%	+0.96	+5.4	10
2015-08-27	@ Jeunesse Esch	L 0-1	35.6	1174	1306	19.81%	20.29%	59.89%	-0.96	-5.4	7
2015-08-30	Mondorf-les-Bains	L 0-1	44.5	1138	1097	49.29%	21.30%	29.41%	+0.43	-11.7	1
2015-08-30	@ Wiltz 71	W 1-0	44.5	1097	1138	29.41%	21.30%	49.29%	-0.43	+11.7	4
2015-09-12	Grevenmacher	D 2-2	58.2	1059	1070	42.25%	21.54%	36.21%	+0.12	-0.2	4
2015-09-12	@ Etzella Ettelbruck	D 2-2	58.2	1070	1059	36.21%	21.54%	42.25%	-0.12	+0.2	2
2015-09-13	RM Hamm Benfica	L 2-5	42.4	1169	1261	31.13%	21.39%	47.48%	-0.35	-16.1	7
2015-09-13	@ Rumelange	W 5-2	42.4	1261	1169	47.48%	21.39%	31.13%	+0.35	+16.1	13
2015-09-13	Jeunesse Esch	W 4-1	38.5	1402	1311	55.40%	20.84%	23.77%	+0.72	+14.8	15
2015-09-13	@ Fola Esch	L 1-4	38.5	1311	1402	23.77%	20.84%	55.40%	-0.72	-14.8	10
2015-09-13	Progres Niedercorn	W 2-1	43.7	1414	1325	55.24%	20.85%	23.91%	+0.71	+6.1	14
2015-09-13	@ F91 Dudelange	L 1-2	43.7	1325	1414	23.91%	20.85%	55.24%	-0.71	-6.1	11
2015-09-13	UNA Strassen	W 2-0	31.6	1341	1169	63.93%	19.63%	16.45%	+1.20	+8.6	11
2015-09-13	@ Differdange 03	L 0-2	31.6	1169	1341	16.45%	19.63%	63.93%	-1.20	-8.6	13
2015-09-13	Victoria Rosport	W 3-2	48.0	1109	1070	49.11%	21.31%	29.58%	+0.42	+6.9	7
2015-09-13	@ Mondorf-les-Bains	L 2-3	48.0	1070	1109	29.58%	21.31%	49.11%	-0.42	-6.9	0
2015-09-13	Wiltz 71	W 4-0	32.7	1157	1126	47.94%	21.37%	30.69%	+0.37	+28.5	10
2015-09-13	@ Racing FC Union Luxembourg	L 0-4	32.7	1126	1157	30.69%	21.37%	47.94%	-0.37	-28.5	1
2015-09-19	Rumelange	W 2-0	31.7	1319	1153	63.35%	19.73%	16.92%	+1.16	+8.8	14
2015-09-19	@ Progres Niedercorn	L 0-2	31.7	1153	1319	16.92%	19.73%	63.35%	-1.16	-8.8	7
2015-09-19	Wiltz 71	D 0-0	49.5	1063	1098	38.84%	21.56%	39.60%	-0.02	+0.0	1
2015-09-19	@ Victoria Rosport	D 0-0	49.5	1098	1063	39.60%	21.56%	38.84%	+0.02	-0.0	2
2015-09-20	F91 Dudelange	L 0-1	31.8	1070	1420	9.73%	17.29%	72.98%	-1.86	-2.7	2
2015-09-20	@ Grevenmacher	W 1-0	31.8	1420	1070	72.98%	17.29%	9.73%	+1.86	+2.7	17
2015-09-20	Fola Esch	L 2-3	48.5	1277	1416	25.49%	21.01%	53.50%	-0.63	-6.1	13
2015-09-20	@ RM Hamm Benfica	W 3-2	48.5	1416	1277	53.50%	21.01%	25.49%	+0.63	+6.1	18
2015-09-20	Mondorf-les-Bains	W 2-1	42.9	1160	1116	49.72%	21.28%	29.00%	+0.45	+7.1	16
2015-09-20	@ UNA Strassen	L 1-2	42.9	1116	1160	29.00%	21.28%	49.72%	-0.45	-7.2	7
2015-09-20	Racing FC Union Luxembourg	L 2-4	44.1	1059	1185	26.95%	21.14%	51.92%	-0.55	-10.4	4
2015-09-20	@ Etzella Ettelbruck	W 4-2	44.1	1185	1059	51.92%	21.14%	26.95%	+0.55	+10.4	13
2015-09-21	Differdange 03	D 1-1	54.4	1296	1350	36.26%	21.54%	42.20%	-0.12	+0.3	11
2015-09-21	@ Jeunesse Esch	D 1-1	54.4	1350	1296	42.20%	21.54%	36.26%	+0.12	-0.3	12
2015-09-26	Progres Niedercorn	D 1-1	56.0	1423	1328	55.89%	20.79%	23.33%	+0.75	-1.8	19
2015-09-26	@ Fola Esch	D 1-1	56.0	1328	1423	23.33%	20.79%	55.89%	-0.75	+1.8	15
2015-09-27	Etzella Ettelbruck	W 6-0	24.4	1423	1048	78.56%	15.10%	6.34%	+2.38	+8.9	20
2015-09-27	@ F91 Dudelange	L 0-6	24.4	1048	1423	6.34%	15.10%	78.56%	-2.38	-8.9	4
2015-09-27	RM Hamm Benfica	W 4-1	37.9	1349	1271	54.00%	20.97%	25.03%	+0.65	+15.5	15
2015-09-27	@ Differdange 03	L 1-4	37.9	1271	1349	25.03%	20.97%	54.00%	-0.65	-15.5	13
2015-09-27	Grevenmacher	W 2-1	41.7	1144	1068	53.68%	21.00%	25.33%	+0.64	+6.4	10
2015-09-27	@ Rumelange	L 1-2	41.7	1068	1144	25.33%	21.00%	53.68%	-0.64	-6.4	2
2015-09-27	Jeunesse Esch	L 1-2	40.3	1109	1297	20.62%	20.42%	58.96%	-0.91	-5.3	7
2015-09-27	@ Mondorf-les-Bains	W 2-1	40.3	1297	1109	58.96%	20.42%	20.62%	+0.91	+5.3	14
2015-09-27	UNA Strassen	W 1-0	43.1	1098	1167	34.09%	21.50%	44.41%	-0.22	+10.7	5
2015-09-27	@ Wiltz 71	L 0-1	43.1	1167	1098	44.41%	21.50%	34.09%	+0.22	-10.7	16
2015-09-27	Victoria Rosport	L 0-4	41.2	1196	1063	60.04%	20.27%	19.69%	+0.97	-50.1	13
2015-09-27	@ Racing FC Union Luxembourg	W 4-0	41.2	1063	1196	19.69%	20.27%	60.04%	-0.97	+50.1	4
2015-10-16	Differdange 03	L 0-1	43.2	1329	1365	38.79%	21.56%	39.64%	-0.02	-9.6	15
2015-10-16	@ Progres Niedercorn	W 1-0	43.2	1365	1329	39.64%	21.56%	38.79%	+0.02	+9.6	18
2015-10-18	Fola Esch	L 0-2	28.6	1061	1421	9.30%	17.06%	73.64%	-1.91	-4.8	2
2015-10-18	@ Grevenmacher	W 2-0	28.6	1421	1061	73.64%	17.06%	9.30%	+1.91	+4.8	22
2015-10-18	Mondorf-les-Bains	W 3-1	36.9	1255	1103	61.95%	19.98%	18.08%	+1.08	+8.1	16
2015-10-18	@ RM Hamm Benfica	L 1-3	36.9	1103	1255	18.08%	19.98%	61.95%	-1.08	-8.2	7
2015-10-18	Racing FC Union Luxembourg	W 4-2	38.5	1432	1146	73.07%	17.26%	9.67%	+1.87	+3.9	23
2015-10-18	@ F91 Dudelange	L 2-4	38.5	1146	1432	9.67%	17.26%	73.07%	-1.87	-3.9	13
2015-10-18	Rumelange	W 1-0	44.6	1039	1150	28.82%	21.27%	49.91%	-0.46	+11.9	7
2015-10-18	@ Etzella Ettelbruck	L 0-1	44.6	1150	1039	49.91%	21.27%	28.82%	+0.46	-11.8	10
2015-10-18	Victoria Rosport	W 4-3	51.2	1157	1113	49.66%	21.28%	29.06%	+0.45	+6.6	19
2015-10-18	@ UNA Strassen	L 3-4	51.2	1113	1157	29.06%	21.28%	49.66%	-0.45	-6.6	4
2015-10-18	Wiltz 71	W 2-0	30.8	1302	1109	65.82%	19.24%	14.94%	+1.32	+7.8	17
2015-10-18	@ Jeunesse Esch	L 0-2	30.8	1109	1302	14.94%	19.24%	65.82%	-1.32	-7.8	5
2015-10-25	Etzella Ettelbruck	W 3-1	32.2	1426	1051	78.54%	15.11%	6.35%	+2.38	+2.8	25
2015-10-25	@ Fola Esch	L 1-3	32.2	1051	1426	6.35%	15.11%	78.54%	-2.38	-2.8	7
2015-10-25	F91 Dudelange	L 2-4	39.7	1138	1436	12.45%	18.45%	69.09%	-1.55	-5.1	10
2015-10-25	@ Rumelange	W 4-2	39.7	1436	1138	69.09%	18.45%	12.45%	+1.55	+5.1	26
2015-10-25	RM Hamm Benfica	L 0-1	36.5	1101	1263	23.06%	20.75%	56.19%	-0.76	-6.2	5
2015-10-25	@ Wiltz 71	W 1-0	36.5	1263	1101	56.19%	20.75%	23.06%	+0.76	+6.2	19
2015-10-25	Grevenmacher	W 4-0	24.7	1375	1056	75.19%	16.50%	8.31%	+2.05	+8.1	21
2015-10-25	@ Differdange 03	L 0-4	24.7	1056	1375	8.31%	16.50%	75.19%	-2.05	-8.1	2
2015-10-25	Jeunesse Esch	L 1-2	39.8	1106	1310	19.21%	20.19%	60.60%	-1.00	-5.0	4
2015-10-25	@ Victoria Rosport	W 2-1	39.8	1310	1106	60.60%	20.19%	19.21%	+1.00	+5.0	20
2015-10-25	Progres Niedercorn	W 2-1	52.8	1095	1320	17.46%	19.85%	62.69%	-1.12	+13.7	10
2015-10-25	@ Mondorf-les-Bains	L 1-2	52.8	1320	1095	62.69%	19.85%	17.46%	+1.12	-13.7	15
2015-10-25	UNA Strassen	L 1-2	46.6	1142	1163	40.81%	21.56%	37.63%	+0.07	-9.4	13
2015-10-25	@ Racing FC Union Luxembourg	W 2-1	46.6	1163	1142	37.63%	21.56%	40.81%	-0.07	+9.4	22
2015-10-31	Differdange 03	L 2-3	41.4	1048	1383	10.48%	17.65%	71.87%	-1.77	-2.6	7
2015-10-31	@ Etzella Ettelbruck	W 3-2	41.4	1383	1048	71.87%	17.65%	10.48%	+1.77	+2.6	24
2015-10-31	Fola Esch	W 2-0	42.1	1441	1428	45.52%	21.47%	33.02%	+0.26	+15.9	29
2015-10-31	@ F91 Dudelange	L 0-2	42.1	1428	1441	33.02%	21.47%	45.52%	-0.26	-15.9	25
2015-10-31	Mondorf-les-Bains	D 0-0	49.5	1048	1109	35.26%	21.53%	43.22%	-0.17	+0.5	3
2015-10-31	@ Grevenmacher	D 0-0	49.5	1109	1048	43.22%	21.53%	35.26%	+0.17	-0.5	11
2015-10-31	Racing FC Union Luxembourg	L 2-4	49.4	1133	1132	43.94%	21.51%	34.55%	+0.20	-15.5	10
2015-10-31	@ Rumelange	W 4-2	49.4	1132	1133	34.55%	21.51%	43.94%	-0.20	+15.5	16
2015-10-31	UNA Strassen	W 4-3	48.2	1315	1173	60.97%	20.13%	18.89%	+1.02	+4.5	23
2015-10-31	@ Jeunesse Esch	L 3-4	48.2	1173	1315	18.89%	20.13%	60.97%	-1.02	-4.5	22
2015-10-31	Victoria Rosport	L 2-3	57.9	1270	1101	63.55%	19.70%	16.76%	+1.18	-13.2	19
2015-10-31	@ RM Hamm Benfica	W 3-2	57.9	1101	1270	16.76%	19.70%	63.55%	-1.18	+13.2	7
2015-10-31	Wiltz 71	W 4-1	33.0	1306	1095	67.39%	18.88%	13.73%	+1.43	+8.8	18
2015-10-31	@ Progres Niedercorn	L 1-4	33.0	1095	1306	13.73%	18.88%	67.39%	-1.43	-8.8	5
2015-11-08	Etzella Ettelbruck	D 1-1	53.3	1109	1046	52.07%	21.12%	26.81%	+0.56	-1.3	12
2015-11-08	@ Mondorf-les-Bains	D 1-1	53.3	1046	1109	26.81%	21.12%	52.07%	-0.56	+1.3	8
2015-11-08	F91 Dudelange	D 2-2	62.9	1385	1457	33.82%	21.49%	44.69%	-0.23	+0.4	25
2015-11-08	@ Differdange 03	D 2-2	62.9	1457	1385	44.69%	21.49%	33.82%	+0.23	-0.4	30
2015-11-08	RM Hamm Benfica	D 0-0	49.8	1168	1256	31.60%	21.41%	46.99%	-0.33	+0.9	23
2015-11-08	@ UNA Strassen	D 0-0	49.8	1256	1168	46.99%	21.41%	31.60%	+0.33	-0.9	20
2015-11-08	Grevenmacher	W 3-2	48.1	1086	1049	48.79%	21.33%	29.88%	+0.41	+7.0	8
2015-11-08	@ Wiltz 71	L 2-3	48.1	1049	1086	29.88%	21.33%	48.79%	-0.41	-7.0	3
2015-11-08	Jeunesse Esch	D 0-0	50.1	1148	1319	22.18%	20.64%	57.17%	-0.81	+2.1	17
2015-11-08	@ Racing FC Union Luxembourg	D 0-0	50.1	1319	1148	57.17%	20.64%	22.18%	+0.81	-2.1	24
2015-11-08	Progres Niedercorn	L 1-4	35.2	1114	1315	19.48%	20.24%	60.28%	-0.98	-12.3	7
2015-11-08	@ Victoria Rosport	W 4-1	35.2	1315	1114	60.28%	20.24%	19.48%	+0.98	+12.3	21
2015-11-08	Rumelange	W 3-1	33.8	1412	1118	73.66%	17.05%	9.28%	+1.92	+4.2	28
2015-11-08	@ Fola Esch	L 1-3	33.8	1118	1412	9.28%	17.05%	73.66%	-1.92	-4.2	10
2015-11-29	Differdange 03	W 4-1	49.2	1113	1386	14.01%	18.97%	67.02%	-1.40	+35.8	13
2015-11-29	@ Rumelange	L 1-4	49.2	1386	1113	67.02%	18.97%	14.01%	+1.40	-35.8	25
2015-11-29	Jeunesse Esch	D 2-2	58.9	1256	1317	35.15%	21.52%	43.33%	-0.17	+0.3	21
2015-11-29	@ RM Hamm Benfica	D 2-2	58.9	1317	1256	43.33%	21.52%	35.15%	+0.17	-0.3	25
2015-11-29	Mondorf-les-Bains	W 3-0	25.6	1456	1107	77.09%	15.74%	7.17%	+2.23	+5.3	33
2015-11-29	@ F91 Dudelange	L 0-3	25.6	1107	1456	7.17%	15.74%	77.09%	-2.23	-5.3	12
2015-11-29	Racing FC Union Luxembourg	W 1-0	32.5	1417	1150	71.69%	17.70%	10.60%	+1.75	+2.9	31
2015-11-29	@ Fola Esch	L 0-1	32.5	1150	1417	10.60%	17.70%	71.69%	-1.75	-2.9	17
2015-11-29	UNA Strassen	W 4-2	41.3	1327	1169	62.58%	19.87%	17.55%	+1.12	+7.1	24
2015-11-29	@ Progres Niedercorn	L 2-4	41.3	1169	1327	17.55%	19.87%	62.58%	-1.12	-7.1	23
2015-11-29	Victoria Rosport	L 0-2	37.4	1042	1102	35.32%	21.53%	43.16%	-0.16	-16.8	3
2015-11-29	@ Grevenmacher	W 2-0	37.4	1102	1042	43.16%	21.53%	35.32%	+0.16	+16.8	10
2015-11-29	Wiltz 71	D 1-1	53.1	1047	1093	37.37%	21.56%	41.07%	-0.08	+0.2	9
2015-11-29	@ Etzella Ettelbruck	D 1-1	53.1	1093	1047	41.07%	21.56%	37.37%	+0.08	-0.2	9
2016-02-21	Etzella Ettelbruck	W 2-0	32.9	1162	1047	58.08%	20.54%	21.38%	+0.86	+11.0	26
2016-02-21	@ UNA Strassen	L 0-2	32.9	1047	1162	21.38%	20.54%	58.08%	-0.86	-11.0	9
2016-02-21	F91 Dudelange	L 1-2	36.9	1119	1462	10.07%	17.45%	72.47%	-1.82	-2.6	10
2016-02-21	@ Victoria Rosport	W 2-1	36.9	1462	1119	72.47%	17.45%	10.07%	+1.82	+2.6	36
2016-02-21	Fola Esch	D 0-0	51.0	1102	1420	11.33%	18.02%	70.65%	-1.67	+3.8	13
2016-02-21	@ Mondorf-les-Bains	D 0-0	51.0	1420	1102	70.65%	18.02%	11.33%	+1.67	-3.8	32
2016-02-21	Grevenmacher	W 1-0	31.3	1317	1025	73.46%	17.12%	9.41%	+1.90	+2.6	28
2016-02-21	@ Jeunesse Esch	L 0-1	31.3	1025	1317	9.41%	17.12%	73.46%	-1.90	-2.6	3
2016-02-21	Progres Niedercorn	D 2-2	59.1	1256	1334	32.89%	21.46%	45.65%	-0.27	+0.5	22
2016-02-21	@ RM Hamm Benfica	D 2-2	59.1	1334	1256	45.65%	21.46%	32.89%	+0.27	-0.5	25
2016-02-21	Racing FC Union Luxembourg	W 6-0	28.0	1350	1147	66.65%	19.06%	14.29%	+1.38	+20.8	28
2016-02-21	@ Differdange 03	L 0-6	28.0	1147	1350	14.29%	19.06%	66.65%	-1.38	-20.8	17
2016-02-21	Rumelange	L 0-1	40.5	1092	1149	35.81%	21.54%	42.66%	-0.14	-9.0	9
2016-02-21	@ Wiltz 71	W 1-0	40.5	1149	1092	42.66%	21.54%	35.81%	+0.14	+9.0	16
2016-02-27	Progres Niedercorn	D 2-2	58.9	1126	1334	18.86%	20.13%	61.02%	-1.03	+1.7	18
2016-02-27	@ Racing FC Union Luxembourg	D 2-2	58.9	1334	1126	61.02%	20.13%	18.86%	+1.03	-1.7	26
2016-02-28	RM Hamm Benfica	L 0-1	34.2	1022	1256	16.72%	19.69%	63.59%	-1.18	-4.6	3
2016-02-28	@ Grevenmacher	W 1-0	34.2	1256	1022	63.59%	19.69%	16.72%	+1.18	+4.6	25
2016-02-28	Jeunesse Esch	L 0-1	33.0	1036	1319	13.32%	18.75%	67.92%	-1.47	-3.7	9
2016-02-28	@ Etzella Ettelbruck	W 1-0	33.0	1319	1036	67.92%	18.75%	13.32%	+1.47	+3.7	31
2016-02-28	Mondorf-les-Bains	W 1-0	32.1	1371	1106	71.57%	17.74%	10.69%	+1.74	+3.0	31
2016-02-28	@ Differdange 03	L 0-1	32.1	1106	1371	10.69%	17.74%	71.57%	-1.74	-3.0	13
2016-02-28	UNA Strassen	W 1-0	32.4	1464	1173	73.43%	17.13%	9.44%	+1.90	+2.6	39
2016-02-28	@ F91 Dudelange	L 0-1	32.4	1173	1464	9.44%	17.13%	73.43%	-1.90	-2.6	26
2016-02-28	Victoria Rosport	D 1-1	53.3	1158	1116	49.44%	21.29%	29.27%	+0.44	-1.0	17
2016-02-28	@ Rumelange	D 1-1	53.3	1116	1158	29.27%	21.29%	49.44%	-0.44	+1.1	11
2016-02-28	Wiltz 71	W 5-0	24.7	1416	1083	76.08%	16.15%	7.77%	+2.14	+9.3	35
2016-02-28	@ Fola Esch	L 0-5	24.7	1083	1416	7.77%	16.15%	76.08%	-2.14	-9.3	9
2016-03-04	F91 Dudelange	L 1-2	45.0	1323	1467	25.05%	20.97%	53.99%	-0.65	-6.3	31
2016-03-04	@ Jeunesse Esch	W 2-1	45.0	1467	1323	53.99%	20.97%	25.05%	+0.65	+6.3	42
2016-03-06	Differdange 03	W 3-2	59.3	1074	1374	12.33%	18.41%	69.26%	-1.56	+14.3	12
2016-03-06	@ Wiltz 71	L 2-3	59.3	1374	1074	69.26%	18.41%	12.33%	+1.56	-14.3	31
2016-03-06	Etzella Ettelbruck	D 2-2	59.2	1261	1033	68.77%	18.54%	12.69%	+1.53	-2.4	26
2016-03-06	@ RM Hamm Benfica	D 2-2	59.2	1033	1261	12.69%	18.54%	68.77%	-1.53	+2.4	10
2016-03-06	Fola Esch	D 1-1	54.7	1117	1425	11.87%	18.23%	69.90%	-1.61	+3.3	12
2016-03-06	@ Victoria Rosport	D 1-1	54.7	1425	1117	69.90%	18.23%	11.87%	+1.61	-3.3	36
2016-03-06	Grevenmacher	L 1-2	55.4	1332	1018	74.95%	16.59%	8.46%	+2.03	-16.1	26
2016-03-06	@ Progres Niedercorn	W 2-1	55.4	1018	1332	8.46%	16.59%	74.95%	-2.03	+16.1	6
2016-03-06	Racing FC Union Luxembourg	L 1-3	44.0	1103	1128	40.27%	21.56%	38.16%	+0.04	-16.2	13
2016-03-06	@ Mondorf-les-Bains	W 3-1	44.0	1128	1103	38.16%	21.56%	40.27%	-0.04	+16.2	21
2016-03-06	Rumelange	W 5-3	48.5	1170	1157	45.61%	21.46%	32.93%	+0.27	+11.6	29
2016-03-06	@ UNA Strassen	L 3-5	48.5	1157	1170	32.93%	21.46%	45.61%	-0.27	-11.6	17
2016-03-13	RM Hamm Benfica	W 2-1	39.8	1473	1259	67.64%	18.82%	13.54%	+1.45	+3.5	45
2016-03-13	@ F91 Dudelange	L 1-2	39.8	1259	1473	13.54%	18.82%	67.64%	-1.45	-3.6	26
2016-03-13	Grevenmacher	W 2-1	40.5	1144	1034	57.61%	20.59%	21.79%	+0.84	+5.6	24
2016-03-13	@ Racing FC Union Luxembourg	L 1-2	40.5	1034	1144	21.79%	20.59%	57.61%	-0.84	-5.6	6
2016-03-13	Jeunesse Esch	D 1-1	53.7	1146	1317	22.20%	20.65%	57.15%	-0.81	+1.9	18
2016-03-13	@ Rumelange	D 1-1	53.7	1317	1146	57.15%	20.65%	22.20%	+0.81	-1.9	32
2016-03-13	Progres Niedercorn	L 0-2	30.1	1035	1316	13.45%	18.80%	67.75%	-1.45	-7.1	10
2016-03-13	@ Etzella Ettelbruck	W 2-0	30.1	1316	1035	67.75%	18.80%	13.45%	+1.45	+7.1	29
2016-03-13	UNA Strassen	W 3-1	35.4	1422	1182	69.68%	18.29%	12.02%	+1.60	+5.5	39
2016-03-13	@ Fola Esch	L 1-3	35.4	1182	1422	12.02%	18.29%	69.68%	-1.60	-5.5	29
2016-03-13	Victoria Rosport	W 2-1	37.3	1359	1121	69.59%	18.32%	12.09%	+1.59	+3.2	34
2016-03-13	@ Differdange 03	L 1-2	37.3	1121	1359	12.09%	18.32%	69.59%	-1.59	-3.2	12
2016-03-13	Wiltz 71	W 4-2	46.6	1087	1088	43.57%	21.52%	34.91%	+0.18	+12.9	16
2016-03-13	@ Mondorf-les-Bains	L 2-4	46.6	1088	1087	34.91%	21.52%	43.57%	-0.18	-12.9	12
2016-03-19	F91 Dudelange	L 0-3	35.1	1323	1477	23.99%	20.86%	55.15%	-0.71	-17.7	29
2016-03-19	@ Progres Niedercorn	W 3-0	35.1	1477	1323	55.15%	20.86%	23.99%	+0.71	+17.7	48
2016-03-20	Differdange 03	L 1-4	36.0	1176	1363	20.77%	20.45%	58.78%	-0.90	-13.1	29
2016-03-20	@ UNA Strassen	W 4-1	36.0	1363	1176	58.78%	20.45%	20.77%	+0.90	+13.1	37
2016-03-20	Etzella Ettelbruck	L 0-2	39.9	1028	1028	43.86%	21.51%	34.63%	+0.19	-20.0	6
2016-03-20	@ Grevenmacher	W 2-0	39.9	1028	1028	34.63%	21.51%	43.86%	-0.19	+20.0	13
2016-03-20	Fola Esch	D 1-1	55.7	1315	1427	28.62%	21.25%	50.12%	-0.47	+1.1	33
2016-03-20	@ Jeunesse Esch	D 1-1	55.7	1427	1315	50.12%	21.25%	28.62%	+0.47	-1.1	40
2016-03-20	Mondorf-les-Bains	L 0-3	38.4	1118	1100	46.28%	21.44%	32.28%	+0.30	-30.4	12
2016-03-20	@ Victoria Rosport	W 3-0	38.4	1100	1118	32.28%	21.44%	46.28%	-0.30	+30.4	19
2016-03-20	Racing FC Union Luxembourg	L 0-2	36.8	1076	1150	33.45%	21.48%	45.07%	-0.24	-16.1	12
2016-03-20	@ Wiltz 71	W 2-0	36.8	1150	1076	45.07%	21.48%	33.45%	+0.24	+16.1	27
2016-03-20	Rumelange	L 1-4	46.6	1255	1148	57.31%	20.63%	22.06%	+0.82	-31.0	26
2016-03-20	@ RM Hamm Benfica	W 4-1	46.6	1148	1255	22.06%	20.63%	57.31%	-0.82	+31.0	21
2016-04-03	Etzella Ettelbruck	W 2-1	40.3	1166	1048	58.44%	20.49%	21.07%	+0.88	+5.4	30
2016-04-03	@ Racing FC Union Luxembourg	L 1-2	40.3	1048	1166	21.07%	20.49%	58.44%	-0.88	-5.4	13
2016-04-03	RM Hamm Benfica	W 3-1	36.7	1426	1224	66.58%	19.07%	14.34%	+1.37	+6.5	43
2016-04-03	@ Fola Esch	L 1-3	36.7	1224	1426	14.34%	19.07%	66.58%	-1.37	-6.5	26
2016-04-03	Grevenmacher	W 2-0	25.6	1494	1008	83.99%	12.33%	3.68%	+3.04	+1.8	51
2016-04-03	@ F91 Dudelange	L 0-2	25.6	1008	1494	3.68%	12.33%	83.99%	-3.04	-1.8	6
2016-04-03	Jeunesse Esch	W 3-0	34.3	1376	1316	51.68%	21.15%	27.17%	+0.54	+19.7	40
2016-04-03	@ Differdange 03	L 0-3	34.3	1316	1376	27.17%	21.15%	51.68%	-0.54	-19.7	33
2016-04-03	Progres Niedercorn	L 0-4	31.8	1178	1305	26.92%	21.13%	51.95%	-0.55	-25.5	21
2016-04-03	@ Rumelange	W 4-0	31.8	1305	1178	51.95%	21.13%	26.92%	+0.55	+25.5	32
2016-04-03	UNA Strassen	D 1-1	53.2	1130	1163	39.09%	21.56%	39.35%	-0.01	+0.0	20
2016-04-03	@ Mondorf-les-Bains	D 1-1	53.2	1163	1130	39.35%	21.56%	39.09%	+0.01	-0.0	30
2016-04-03	Victoria Rosport	L 0-4	35.5	1059	1087	39.91%	21.56%	38.52%	+0.03	-35.2	12
2016-04-03	@ Wiltz 71	W 4-0	35.5	1087	1059	38.52%	21.56%	39.91%	-0.03	+35.2	15
2016-04-09	Differdange 03	W 4-2	54.2	1218	1395	21.56%	20.56%	57.88%	-0.85	+19.8	29
2016-04-09	@ RM Hamm Benfica	L 2-4	54.2	1395	1218	57.88%	20.56%	21.56%	+0.85	-19.8	40
2016-04-09	Fola Esch	L 0-1	41.5	1331	1433	29.91%	21.33%	48.76%	-0.41	-7.8	32
2016-04-09	@ Progres Niedercorn	W 1-0	41.5	1433	1331	48.76%	21.33%	29.91%	+0.41	+7.8	46
2016-04-09	Rumelange	D 1-1	53.3	1006	1153	24.75%	20.94%	54.31%	-0.67	+1.6	7
2016-04-09	@ Grevenmacher	D 1-1	53.3	1153	1006	54.31%	20.94%	24.75%	+0.67	-1.6	22
2016-04-10	F91 Dudelange	L 0-5	23.8	1043	1496	5.93%	14.76%	79.31%	-2.47	-7.0	13
2016-04-10	@ Etzella Ettelbruck	W 5-0	23.8	1496	1043	79.31%	14.76%	5.93%	+2.47	+7.0	54
2016-04-10	Mondorf-les-Bains	L 0-2	45.5	1296	1130	63.36%	19.73%	16.91%	+1.17	-27.8	33
2016-04-10	@ Jeunesse Esch	W 2-0	45.5	1130	1296	16.91%	19.73%	63.36%	-1.17	+27.8	23
2016-04-10	Racing FC Union Luxembourg	W 4-2	48.7	1122	1171	36.89%	21.55%	41.56%	-0.10	+14.8	18
2016-04-10	@ Victoria Rosport	L 2-4	48.7	1171	1122	41.56%	21.55%	36.89%	+0.10	-14.8	30
2016-04-10	Wiltz 71	W 3-1	37.2	1163	1024	60.67%	20.18%	19.15%	+1.01	+8.6	33
2016-04-10	@ UNA Strassen	L 1-3	37.2	1024	1163	19.15%	20.18%	60.67%	-1.01	-8.6	12
2016-04-15	Grevenmacher	W 3-0	23.9	1440	1008	81.55%	13.66%	4.79%	+2.72	+3.4	49
2016-04-15	@ Fola Esch	L 0-3	23.9	1008	1440	4.79%	13.66%	81.55%	-2.72	-3.4	7
2016-04-15	Progres Niedercorn	W 1-0	39.9	1376	1323	50.78%	21.21%	28.00%	+0.50	+7.4	43
2016-04-15	@ Differdange 03	L 0-1	39.9	1323	1376	28.00%	21.21%	50.78%	-0.50	-7.4	32
2016-04-16	RM Hamm Benfica	W 2-1	48.2	1158	1237	32.73%	21.46%	45.82%	-0.28	+10.4	26
2016-04-16	@ Mondorf-les-Bains	L 1-2	48.2	1237	1158	45.82%	21.46%	32.73%	+0.28	-10.4	29
2016-04-16	UNA Strassen	D 2-2	58.3	1137	1172	38.89%	21.56%	39.54%	-0.01	+0.0	19
2016-04-16	@ Victoria Rosport	D 2-2	58.3	1172	1137	39.54%	21.56%	38.89%	+0.01	-0.0	34
2016-04-17	Etzella Ettelbruck	W 1-0	35.8	1151	1036	58.21%	20.52%	21.27%	+0.87	+5.8	25
2016-04-17	@ Rumelange	L 0-1	35.8	1036	1151	21.27%	20.52%	58.21%	-0.87	-5.8	13
2016-04-17	F91 Dudelange	L 0-2	29.9	1156	1503	9.88%	17.36%	72.76%	-1.84	-5.2	30
2016-04-17	@ Racing FC Union Luxembourg	W 2-0	29.9	1503	1156	72.76%	17.36%	9.88%	+1.84	+5.2	57
2016-04-17	Jeunesse Esch	L 1-5	31.8	1016	1269	15.32%	19.34%	65.34%	-1.29	-12.7	12
2016-04-17	@ Wiltz 71	W 5-1	31.8	1269	1016	65.34%	19.34%	15.32%	+1.29	+12.7	36
2016-04-24	Differdange 03	L 0-5	24.8	1005	1383	8.51%	16.62%	74.88%	-2.02	-10.3	7
2016-04-24	@ Grevenmacher	W 5-0	24.8	1383	1005	74.88%	16.62%	8.51%	+2.02	+10.3	46
2016-04-24	Fola Esch	L 0-4	24.3	1030	1444	7.17%	15.74%	77.08%	-2.23	-6.9	13
2016-04-24	@ Etzella Ettelbruck	W 4-0	24.3	1444	1030	77.08%	15.74%	7.17%	+2.23	+6.9	52
2016-04-24	Mondorf-les-Bains	L 0-1	48.1	1316	1168	61.54%	20.04%	18.42%	+1.06	-14.3	32
2016-04-24	@ Progres Niedercorn	W 1-0	48.1	1168	1316	18.42%	20.04%	61.54%	-1.06	+14.3	29
2016-04-24	Racing FC Union Luxembourg	L 1-2	48.3	1172	1151	46.64%	21.43%	31.94%	+0.31	-10.5	34
2016-04-24	@ UNA Strassen	W 2-1	48.3	1151	1172	31.94%	21.43%	46.64%	-0.31	+10.5	33
2016-04-24	Rumelange	W 4-3	44.4	1508	1157	77.21%	15.69%	7.10%	+2.25	+1.7	60
2016-04-24	@ F91 Dudelange	L 3-4	44.4	1157	1508	7.10%	15.69%	77.21%	-2.25	-1.7	25
2016-04-24	Victoria Rosport	D 1-1	53.8	1281	1137	61.18%	20.10%	18.72%	+1.03	-2.3	37
2016-04-24	@ Jeunesse Esch	D 1-1	53.8	1137	1281	18.72%	20.10%	61.18%	-1.03	+2.3	20
2016-04-24	Wiltz 71	D 0-0	50.4	1227	1003	68.42%	18.63%	12.95%	+1.50	-3.5	30
2016-04-24	@ RM Hamm Benfica	D 0-0	50.4	1003	1227	12.95%	18.63%	68.42%	-1.50	+3.5	13
2016-04-30	Etzella Ettelbruck	W 2-1	34.5	1393	1023	78.32%	15.21%	6.47%	+2.36	+1.6	49
2016-04-30	@ Differdange 03	L 1-2	34.5	1023	1393	6.47%	15.21%	78.32%	-2.36	-1.6	13
2016-04-30	F91 Dudelange	W 3-1	53.2	1451	1510	35.49%	21.53%	42.98%	-0.16	+17.1	55
2016-04-30	@ Fola Esch	L 1-3	53.2	1510	1451	42.98%	21.53%	35.49%	+0.16	-17.0	60
2016-04-30	RM Hamm Benfica	W 5-1	41.8	1140	1223	32.17%	21.44%	46.39%	-0.30	+33.2	23
2016-04-30	@ Victoria Rosport	L 1-5	41.8	1223	1140	46.39%	21.44%	32.17%	+0.30	-33.2	30
2016-04-30	Grevenmacher	W 5-1	31.7	1182	994	65.35%	19.34%	15.31%	+1.29	+12.7	32
2016-04-30	@ Mondorf-les-Bains	L 1-5	31.7	994	1182	15.31%	19.34%	65.35%	-1.29	-12.7	7
2016-04-30	Jeunesse Esch	W 2-1	49.7	1161	1279	28.01%	21.21%	50.78%	-0.50	+11.3	37
2016-04-30	@ UNA Strassen	L 1-2	49.7	1279	1161	50.78%	21.21%	28.01%	+0.50	-11.3	37
2016-04-30	Progres Niedercorn	W 3-2	59.1	1006	1301	12.60%	18.51%	68.89%	-1.54	+14.2	16
2016-04-30	@ Wiltz 71	L 2-3	59.1	1301	1006	68.89%	18.51%	12.60%	+1.54	-14.2	32
2016-04-30	Rumelange	L 2-3	52.7	1162	1156	44.69%	21.49%	33.82%	+0.23	-9.6	33
2016-04-30	@ Racing FC Union Luxembourg	W 3-2	52.7	1156	1162	33.82%	21.49%	44.69%	-0.23	+9.6	28
2016-05-07	Wiltz 71	L 0-2	38.3	982	1021	38.30%	21.56%	40.14%	-0.04	-18.0	7
2016-05-07	@ Grevenmacher	W 2-0	38.3	1021	982	40.14%	21.56%	38.30%	+0.04	+17.9	19
2016-05-08	Differdange 03	L 0-1	52.3	1493	1395	56.24%	20.75%	23.01%	+0.76	-13.2	60
2016-05-08	@ F91 Dudelange	W 1-0	52.3	1395	1493	23.01%	20.75%	56.24%	-0.76	+13.2	52
2016-05-08	Fola Esch	L 1-3	35.7	1165	1468	12.15%	18.34%	69.51%	-1.58	-5.5	28
2016-05-08	@ Rumelange	W 3-1	35.7	1468	1165	69.51%	18.34%	12.15%	+1.58	+5.5	58
2016-05-08	Mondorf-les-Bains	W 2-1	51.2	1021	1195	21.94%	20.61%	57.44%	-0.83	+12.7	16
2016-05-08	@ Etzella Ettelbruck	L 1-2	51.2	1195	1021	57.44%	20.61%	21.94%	+0.83	-12.7	32
2016-05-08	Racing FC Union Luxembourg	W 5-0	29.8	1268	1152	58.18%	20.52%	21.30%	+0.87	+25.6	40
2016-05-08	@ Jeunesse Esch	L 0-5	29.8	1152	1268	21.30%	20.52%	58.18%	-0.87	-25.6	33
2016-05-08	UNA Strassen	W 4-0	33.3	1190	1173	46.22%	21.44%	32.34%	+0.29	+29.7	33
2016-05-08	@ RM Hamm Benfica	L 0-4	33.3	1173	1190	32.34%	21.44%	46.22%	-0.29	-29.7	37
2016-05-08	Victoria Rosport	W 2-1	40.7	1287	1173	58.08%	20.54%	21.39%	+0.86	+5.5	35
2016-05-08	@ Progres Niedercorn	L 1-2	40.7	1173	1287	21.39%	20.54%	58.08%	-0.86	-5.5	23
2016-05-13	Etzella Ettelbruck	D 2-2	58.2	1039	1034	44.47%	21.50%	34.03%	+0.22	-0.4	20
2016-05-13	@ Wiltz 71	D 2-2	58.2	1034	1039	34.03%	21.50%	44.47%	-0.22	+0.4	17
2016-05-13	F91 Dudelange	D 0-0	51.8	1182	1480	12.46%	18.46%	69.08%	-1.55	+3.6	33
2016-05-13	@ Mondorf-les-Bains	D 0-0	51.8	1480	1182	69.08%	18.46%	12.46%	+1.55	-3.6	61
2016-05-13	RM Hamm Benfica	W 6-4	47.5	1293	1220	53.33%	21.02%	25.64%	+0.62	+9.1	43
2016-05-13	@ Jeunesse Esch	L 4-6	47.5	1220	1293	25.64%	21.02%	53.33%	-0.62	-9.1	33
2016-05-13	Fola Esch	D 2-2	60.4	1127	1473	9.87%	17.36%	72.77%	-1.84	+2.7	34
2016-05-13	@ Racing FC Union Luxembourg	D 2-2	60.4	1473	1127	72.77%	17.36%	9.87%	+1.84	-2.7	59
2016-05-13	Progres Niedercorn	D 1-1	53.6	1143	1293	24.40%	20.90%	54.69%	-0.69	+1.6	38
2016-05-13	@ UNA Strassen	D 1-1	53.6	1293	1143	54.69%	20.90%	24.40%	+0.69	-1.6	36
2016-05-14	Grevenmacher	L 0-1	49.0	1167	964	66.70%	19.04%	14.25%	+1.38	-15.4	23
2016-05-14	@ Victoria Rosport	W 1-0	49.0	964	1167	14.25%	19.04%	66.70%	-1.38	+15.4	10
2016-05-14	Rumelange	W 3-0	27.7	1408	1160	70.34%	18.11%	11.55%	+1.65	+8.8	55
2016-05-14	@ Differdange 03	L 0-3	27.7	1160	1408	11.55%	18.11%	70.34%	-1.65	-8.8	28
2016-05-22	Differdange 03	W 4-2	50.4	1471	1417	50.96%	21.20%	27.84%	+0.51	+10.7	62
2016-05-22	@ Fola Esch	L 2-4	50.4	1417	1471	27.84%	21.20%	50.96%	-0.51	-10.7	55
2016-05-22	Jeunesse Esch	L 0-2	40.3	1291	1302	42.25%	21.54%	36.21%	+0.12	-19.4	36
2016-05-22	@ Progres Niedercorn	W 2-0	40.3	1302	1291	36.21%	21.54%	42.25%	-0.12	+19.4	46
2016-05-22	Mondorf-les-Bains	L 0-2	38.6	1151	1186	38.84%	21.56%	39.60%	-0.02	-18.2	28
2016-05-22	@ Rumelange	W 2-0	38.6	1186	1151	39.60%	21.56%	38.84%	+0.02	+18.2	36
2016-05-22	Racing FC Union Luxembourg	D 3-3	62.8	1211	1129	54.34%	20.94%	24.72%	+0.67	-1.0	34
2016-05-22	@ RM Hamm Benfica	D 3-3	62.8	1129	1211	24.72%	20.94%	54.34%	-0.67	+1.0	35
2016-05-22	UNA Strassen	W 3-0	41.2	979	1145	22.78%	20.72%	56.50%	-0.78	+36.3	13
2016-05-22	@ Grevenmacher	L 0-3	41.2	1145	979	56.50%	20.72%	22.78%	+0.78	-36.3	38
2016-05-22	Victoria Rosport	L 1-5	36.1	1034	1152	28.02%	21.21%	50.77%	-0.50	-22.0	17
2016-05-22	@ Etzella Ettelbruck	W 5-1	36.1	1152	1034	50.77%	21.21%	28.02%	+0.50	+22.0	26
2016-05-22	Wiltz 71	D 1-1	56.0	1476	1038	81.81%	13.52%	4.67%	+2.75	-4.4	62
2016-05-22	@ F91 Dudelange	D 1-1	56.0	1038	1476	4.67%	13.52%	81.81%	-2.75	+4.4	21

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	2016-03-06	8.46%	Grevenmacher	1018	2	@ Progres Niedercorn	1332	1
2	2016-03-06	12.33%	@ Wiltz 71	1074	3	Differdange 03	1374	2
3	2016-04-30	12.60%	@ Wiltz 71	1006	3	Progres Niedercorn	1301	2
4	2015-08-27	13.60%	@ UNA Strassen	1146	4	Fola Esch	1425	2
5	2015-11-29	14.01%	@ Rumelange	1113	4	Differdange 03	1386	1
6	2016-05-14	14.25%	Grevenmacher	964	1	@ Victoria Rosport	1167	0
7	2015-10-31	16.76%	Victoria Rosport	1101	3	@ RM Hamm Benfica	1270	2
8	2016-04-10	16.91%	Mondorf-les-Bains	1130	2	@ Jeunesse Esch	1296	0
9	2015-10-25	17.46%	@ Mondorf-les-Bains	1095	2	Progres Niedercorn	1320	1
10	2016-04-24	18.42%	Mondorf-les-Bains	1168	1	@ Progres Niedercorn	1316	0
11	2015-09-27	19.69%	Victoria Rosport	1063	4	@ Racing FC Union Luxembourg	1196	0
12	2016-04-09	21.56%	@ RM Hamm Benfica	1218	4	Differdange 03	1395	2
13	2016-05-08	21.94%	@ Etzella Ettelbruck	1021	2	Mondorf-les-Bains	1195	1
14	2016-03-20	22.06%	Rumelange	1148	4	@ RM Hamm Benfica	1255	1
15	2016-05-22	22.78%	@ Grevenmacher	979	3	UNA Strassen	1145	0
16	2016-05-08	23.01%	Differdange 03	1395	1	@ F91 Dudelange	1493	0
17	2016-04-30	28.01%	@ UNA Strassen	1161	2	Jeunesse Esch	1279	1
18	2015-08-23	28.21%	UNA Strassen	1135	2	@ Rumelange	1185	1
19	2015-08-09	28.63%	UNA Strassen	1102	6	@ Etzella Ettelbruck	1150	2
20	2015-10-18	28.82%	@ Etzella Ettelbruck	1039	1	Rumelange	1150	0
21	2015-08-30	29.41%	Mondorf-les-Bains	1097	1	@ Wiltz 71	1138	0
22	2016-04-24	31.94%	Racing FC Union Luxembourg	1151	2	@ UNA Strassen	1172	1
23	2016-04-30	32.17%	@ Victoria Rosport	1140	5	RM Hamm Benfica	1223	1
24	2016-03-20	32.28%	Mondorf-les-Bains	1100	3	@ Victoria Rosport	1118	0
25	2016-04-16	32.73%	@ Mondorf-les-Bains	1158	2	RM Hamm Benfica	1237	1

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	2015-09-27	50.09	Victoria Rosport	4	1063	19.69%	@ Racing FC Union Luxembourg	0	1196	60.04%	20.27%
2	2016-05-22	36.26	@ Grevenmacher	3	979	22.78%	UNA Strassen	0	1145	56.50%	20.72%
3	2015-11-29	35.79	@ Rumelange	4	1113	14.01%	Differdange 03	1	1386	67.02%	18.97%
4	2016-04-03	35.19	Victoria Rosport	4	1087	38.52%	@ Wiltz 71	0	1059	39.91%	21.56%
5	2016-04-30	33.17	@ Victoria Rosport	5	1140	32.17%	RM Hamm Benfica	1	1223	46.39%	21.44%
6	2015-08-02	31.54	F91 Dudelange	6	1370	57.15%	@ Wiltz 71	0	1199	22.20%	20.65%
7	2016-03-20	30.97	Rumelange	4	1148	22.06%	@ RM Hamm Benfica	1	1255	57.31%	20.63%
8	2016-03-20	30.40	Mondorf-les-Bains	3	1100	32.28%	@ Victoria Rosport	0	1118	46.28%	21.44%
9	2015-08-09	30.08	UNA Strassen	6	1102	28.63%	@ Etzella Ettelbruck	2	1150	50.12%	21.25%
10	2016-05-08	29.74	@ RM Hamm Benfica	4	1190	46.22%	UNA Strassen	0	1173	32.34%	21.44%
11	2015-09-13	28.48	@ Racing FC Union Luxembourg	4	1157	47.94%	Wiltz 71	0	1126	30.69%	21.37%
12	2015-08-02	27.77	Rumelange	3	1150	36.97%	@ Mondorf-les-Bains	0	1133	41.48%	21.55%
13	2016-04-10	27.75	Mondorf-les-Bains	2	1130	16.91%	@ Jeunesse Esch	0	1296	63.36%	19.73%
14	2015-08-27	26.47	Racing FC Union Luxembourg	3	1130	39.40%	@ Grevenmacher	0	1097	39.04%	21.56%
15	2015-08-01	26.16	Fola Esch	3	1384	39.97%	@ Differdange 03	0	1346	38.46%	21.56%
16	2016-05-08	25.58	@ Jeunesse Esch	5	1268	58.18%	Racing FC Union Luxembourg	0	1152	21.30%	20.52%
17	2016-04-03	25.50	Progres Niedercorn	4	1305	51.95%	@ Rumelange	0	1178	26.92%	21.13%
18	2015-08-02	24.79	@ UNA Strassen	4	1077	34.05%	Grevenmacher	1	1147	44.45%	21.50%
19	2015-08-22	24.36	RM Hamm Benfica	4	1234	53.46%	@ Etzella Ettelbruck	0	1095	25.52%	21.01%
20	2015-08-16	24.34	@ Jeunesse Esch	6	1288	63.52%	Etzella Ettelbruck	0	1119	16.78%	19.70%
21	2015-08-27	22.80	@ UNA Strassen	4	1146	13.60%	Fola Esch	2	1425	67.55%	18.84%
22	2016-05-22	21.99	Victoria Rosport	5	1152	50.77%	@ Etzella Ettelbruck	1	1034	28.02%	21.21%
23	2015-08-23	21.58	@ Differdange 03	5	1316	62.38%	Wiltz 71	0	1160	17.71%	19.90%
24	2016-02-21	20.84	@ Differdange 03	6	1350	66.65%	Racing FC Union Luxembourg	0	1147	14.29%	19.06%
25	2015-08-02	20.23	RM Hamm Benfica	4	1211	43.99%	@ Racing FC Union Luxembourg	1	1145	34.50%	21.51%

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	2015-11-08	62.9	@ Differdange 03	2	1385	33.82%	F91 Dudelange	2	1457	44.69%	21.49%
2	2016-05-22	62.8	@ RM Hamm Benfica	3	1211	54.34%	Racing FC Union Luxembourg	3	1129	24.72%	20.94%
3	2016-05-13	60.4	@ Racing FC Union Luxembourg	2	1127	9.87%	Fola Esch	2	1473	72.77%	17.36%
4	2015-08-16	59.6	@ UNA Strassen	2	1132	13.52%	F91 Dudelange	2	1412	67.66%	18.82%
5	2016-03-06	59.3	@ Wiltz 71	3	1074	12.33%	Differdange 03	2	1374	69.26%	18.41%
6	2016-03-06	59.2	@ RM Hamm Benfica	2	1261	68.77%	Etzella Ettelbruck	2	1033	12.69%	18.54%
7	2016-02-21	59.1	@ RM Hamm Benfica	2	1256	32.89%	Progres Niedercorn	2	1334	45.65%	21.46%
8	2016-04-30	59.1	@ Wiltz 71	3	1006	12.60%	Progres Niedercorn	2	1301	68.89%	18.51%
9	2015-08-16	58.9	@ Mondorf-les-Bains	2	1103	18.28%	Differdange 03	2	1318	61.70%	20.02%
10	2015-11-29	58.9	@ RM Hamm Benfica	2	1256	35.15%	Jeunesse Esch	2	1317	43.33%	21.52%
11	2016-02-27	58.9	@ Racing FC Union Luxembourg	2	1126	18.86%	Progres Niedercorn	2	1334	61.02%	20.13%
12	2016-04-16	58.3	@ Victoria Rosport	2	1137	38.89%	UNA Strassen	2	1172	39.54%	21.56%
13	2015-09-12	58.2	@ Etzella Ettelbruck	2	1059	42.25%	Grevenmacher	2	1070	36.21%	21.54%
14	2016-05-13	58.2	@ Wiltz 71	2	1039	44.47%	Etzella Ettelbruck	2	1034	34.03%	21.50%
15	2015-10-31	57.9	Victoria Rosport	3	1101	16.76%	@ RM Hamm Benfica	2	1270	63.55%	19.70%
16	2015-08-27	56.3	@ UNA Strassen	4	1146	13.60%	Fola Esch	2	1425	67.55%	18.84%
17	2015-09-26	56.0	@ Fola Esch	1	1423	55.89%	Progres Niedercorn	1	1328	23.33%	20.79%
18	2016-05-22	56.0	@ F91 Dudelange	1	1476	81.81%	Wiltz 71	1	1038	4.67%	13.52%
19	2016-03-20	55.7	@ Jeunesse Esch	1	1315	28.62%	Fola Esch	1	1427	50.12%	21.25%
20	2016-03-06	55.4	Grevenmacher	2	1018	8.46%	@ Progres Niedercorn	1	1332	74.95%	16.59%
21	2016-03-06	54.7	@ Victoria Rosport	1	1117	11.87%	Fola Esch	1	1425	69.90%	18.23%
22	2015-09-21	54.4	@ Jeunesse Esch	1	1296	36.26%	Differdange 03	1	1350	42.20%	21.54%
23	2016-04-09	54.2	@ RM Hamm Benfica	4	1218	21.56%	Differdange 03	2	1395	57.88%	20.56%
24	2015-08-09	53.8	@ Racing FC Union Luxembourg	1	1124	19.92%	Differdange 03	1	1320	59.77%	20.31%
25	2016-04-24	53.8	@ Jeunesse Esch	1	1281	61.18%	Victoria Rosport	1	1137	18.72%	20.10%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2016-04-10	23.8	F91 Dudelange	5	1496	79.31%	@ Etzella Ettelbruck	0	1043	5.93%	14.76%
2	2016-04-15	23.9	@ Fola Esch	3	1440	81.55%	Grevenmacher	0	1008	4.79%	13.66%
3	2016-04-24	24.3	Fola Esch	4	1444	77.08%	@ Etzella Ettelbruck	0	1030	7.17%	15.74%
4	2015-09-27	24.4	@ F91 Dudelange	6	1423	78.56%	Etzella Ettelbruck	0	1048	6.34%	15.10%
5	2015-10-25	24.7	@ Differdange 03	4	1375	75.19%	Grevenmacher	0	1056	8.31%	16.50%
6	2016-02-28	24.7	@ Fola Esch	5	1416	76.08%	Wiltz 71	0	1083	7.77%	16.15%
7	2016-04-24	24.8	Differdange 03	5	1383	74.88%	@ Grevenmacher	0	1005	8.51%	16.62%
8	2015-11-29	25.6	@ F91 Dudelange	3	1456	77.09%	Mondorf-les-Bains	0	1107	7.17%	15.74%
9	2016-04-03	25.6	@ F91 Dudelange	2	1494	83.99%	Grevenmacher	0	1008	3.68%	12.33%
10	2015-08-27	26.2	@ Progres Niedercorn	4	1313	69.87%	Etzella Ettelbruck	0	1071	11.89%	18.24%
11	2015-08-23	27.7	@ Fola Esch	2	1421	76.77%	Victoria Rosport	0	1077	7.36%	15.87%
12	2016-05-14	27.7	@ Differdange 03	3	1408	70.34%	Rumelange	0	1160	11.55%	18.11%
13	2016-02-21	28.0	@ Differdange 03	6	1350	66.65%	Racing FC Union Luxembourg	0	1147	14.29%	19.06%
14	2015-08-09	28.1	@ F91 Dudelange	7	1402	74.42%	Victoria Rosport	1	1096	8.80%	16.78%
15	2015-10-18	28.6	Fola Esch	2	1421	73.64%	@ Grevenmacher	0	1061	9.30%	17.06%
16	2015-08-16	28.7	@ Jeunesse Esch	6	1288	63.52%	Etzella Ettelbruck	0	1119	16.78%	19.70%
17	2015-08-23	28.7	@ Differdange 03	5	1316	62.38%	Wiltz 71	0	1160	17.71%	19.90%
18	2016-05-08	29.8	@ Jeunesse Esch	5	1268	58.18%	Racing FC Union Luxembourg	0	1152	21.30%	20.52%
19	2016-04-17	29.9	F91 Dudelange	2	1503	72.76%	@ Racing FC Union Luxembourg	0	1156	9.88%	17.36%
20	2016-03-13	30.1	Progres Niedercorn	2	1316	67.75%	@ Etzella Ettelbruck	0	1035	13.45%	18.80%
21	2015-10-18	30.8	@ Jeunesse Esch	2	1302	65.82%	Wiltz 71	0	1109	14.94%	19.24%
22	2015-08-16	31.0	@ RM Hamm Benfica	3	1218	57.35%	Grevenmacher	0	1110	22.03%	20.62%
23	2015-08-22	31.1	RM Hamm Benfica	4	1234	53.46%	@ Etzella Ettelbruck	0	1095	25.52%	21.01%
24	2015-08-02	31.2	F91 Dudelange	6	1370	57.15%	@ Wiltz 71	0	1199	22.20%	20.65%
25	2016-02-21	31.3	@ Jeunesse Esch	1	1317	73.46%	Grevenmacher	0	1025	9.41%	17.12%