2016-17 Challenge League Season

180 games

Final

Promoted

—

No promotions.

Relegated

No relegation

Biggest Overachiever

Neuchatel Xamax

13.03 points above expected

73 points · 59.97 expected points

Biggest Disappointment

Wil

11.39 points below expected

34 points · 45.39 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	Zurich	36	26	7	3	85	91	30	+61	72.29	+12.71
2	Neuchatel Xamax	36	22	7	7	73	66	36	+30	59.97	+13.03
3	Servette	36	18	8	10	62	55	43	+12	54.49	+7.51
4	Schaffhausen	36	16	3	17	51	64	59	+5	47.40	+3.60
5	Aarau	36	13	6	17	45	57	64	-7	51.76	-6.76
6	Winterthur	36	11	8	17	41	45	62	-17	43.85	-2.85
7	Wohlen	36	12	3	21	39	42	60	-18	40.77	-1.77
8	Chiasso	36	9	10	17	37	43	63	-20	40.83	-3.83
9	Le Mont	36	8	11	17	35	31	54	-23	37.34	-2.34
10	Wil*	36	10	7	19	34	35	58	-23	45.39	-11.39

* Point deductions: Wil (-3 pts)

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	Neuchatel Xamax	73	59.97	+13.03
2	Zurich	85	72.29	+12.71
3	Servette	62	54.49	+7.51
4	Schaffhausen	51	47.40	+3.60
5	Wohlen	39	40.77	-1.77

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Wil	34	45.39	-11.39
2	Aarau	45	51.76	-6.76
3	Chiasso	37	40.83	-3.83
4	Winterthur	41	43.85	-2.85
5	Le Mont	35	37.34	-2.34

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	Schaffhausen	8	Apr 8 – May 21	1 in 1,288
2	Servette	7	Feb 6 – Mar 19	1 in 345
3	Winterthur	4	Apr 9 – Apr 29	1 in 132
4	Wil	5	Sep 21 – Oct 23	1 in 56
5	Zurich	7	Oct 23 – Dec 12	1 in 51

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Schaffhausen	7	Sep 25 – Nov 21	1 in 506
2	Aarau	6	Mar 19 – Apr 29	1 in 363
3	Wil	6	Feb 18 – Mar 18	1 in 221
4	Wohlen	6	Aug 6 – Sep 21	1 in 107
5	Le Mont	6	Apr 10 – May 14	1 in 64

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Servette	13	Nov 27 – Apr 15	1 in 133
2	Le Mont	7	Sep 24 – Nov 20	1 in 112
3	Zurich	18	Jul 25 – Dec 12	1 in 101
4	Winterthur	6	Mar 18 – Apr 29	1 in 74
5	Schaffhausen	8	Apr 8 – May 21	1 in 30

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Wil	17	Oct 31 – Apr 23	1 in 6,487
2	Winterthur	11	Oct 1 – Feb 11	1 in 113
3	Schaffhausen	11	Aug 20 – Nov 21	1 in 89
4	Aarau	6	Sep 25 – Nov 6	1 in 20
5	Le Mont	9	Mar 11 – May 14	1 in 18

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
Zurich	1670	85	+7	10	10.6	-0.6
Neuchatel Xamax	1575	73	-10	7	9.4	-2.4
Servette	1539	62	+11	10	7.4	+2.6
Schaffhausen	1507	51	+16	9	7.3	+1.7
Aarau	1457	45	+12	6	7.1	-1.1
Winterthur	1414	41	-7	6	5.5	+0.5
Wohlen	1412	39	-9	6	6.2	-0.2
Chiasso	1382	37	-19	7	6.0	+1.0
Wil	1390	37	+0	6	5.0	+1.0
Le Mont	1360	35	+0	5	4.9	+0.1

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	AAR	CHI	LM	NX	SCH	SER	WIL	WIN	WOH	ZUR
Aarau	—	0-1-3 6.88	2-1-1 7.09	1-0-3 4.47	2-1-1 6.21	1-0-3 5.24	2-1-1 5.96	1-1-2 6.38	3-0-1 6.85	1-1-2 3.37
Chiasso	3-1-0 4.17	—	0-2-2 5.84	0-0-4 3.49	1-0-3 4.81	0-4-0 4.04	2-1-1 4.66	1-1-2 5.03	2-1-1 5.47	0-0-4 2.54
Le Mont	1-1-2 3.97	2-2-0 5.18	—	1-1-2 3.15	2-1-1 4.57	0-0-4 3.89	0-2-2 4.26	1-2-1 5.02	1-1-2 5.19	0-1-3 2.53
Neuchatel Xamax	3-0-1 6.57	4-0-0 7.62	2-1-1 8.00	—	2-0-2 6.96	2-2-0 6.07	3-1-0 6.78	4-0-0 7.28	2-1-1 7.48	0-2-2 4.24
Schaffhausen	1-1-2 4.83	3-0-1 6.22	1-1-2 6.47	2-0-2 4.10	—	2-0-2 4.62	2-0-2 5.43	3-1-0 5.77	2-0-2 6.20	0-0-4 3.40
Servette	3-0-1 5.79	0-4-0 7.02	4-0-0 7.19	0-2-2 4.95	2-0-2 6.42	—	3-0-1 6.11	1-1-2 6.59	4-0-0 6.98	1-1-2 3.54
Wil	1-1-2 5.06	1-1-2 6.39	2-2-0 6.80	0-1-3 4.27	2-0-2 5.61	1-0-3 4.92	—	1-1-2 5.89	1-0-3 6.28	1-1-2 3.38
Winterthur	2-1-1 4.66	2-1-1 5.99	1-2-1 6.00	0-0-4 3.81	0-1-3 5.25	2-1-1 4.46	2-1-1 5.13	—	2-0-2 5.80	0-1-3 2.82
Wohlen	1-0-3 4.20	1-1-2 5.55	2-1-1 5.82	1-1-2 3.62	2-0-2 4.83	0-0-4 4.08	3-0-1 4.77	2-0-2 5.21	—	0-0-4 2.80
Zurich	2-1-1 7.78	4-0-0 8.71	3-1-0 8.73	2-2-0 6.81	4-0-0 7.74	2-1-1 7.56	2-1-1 7.79	3-1-0 8.39	4-0-0 8.41	—

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	0.85	+9.1
Allowed	0.83	-13.1
Differential	0.98	+6.3

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	6.67%	7.50%	5.56%	3.06%	2.50%	0.83%	26.11%
1	7.50%	8.33%	8.61%	3.33%	3.06%	1.11%	31.94%
2	5.56%	8.61%	4.44%	3.61%	0.28%	0.56%	23.06%
3	3.06%	3.33%	3.61%	—	—	0.28%	10.28%
4	2.50%	3.06%	0.28%	—	—	—	5.83%
5+	0.83%	1.11%	0.56%	0.28%	—	—	2.78%
Total	26.11%	31.94%	23.06%	10.28%	5.83%	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.47	1.47	+0.00
SD	1.32	1.32	2.02
CV	0.90	0.90	—
Max	6	6	+6
Min	0	0	-6

Games Played: 180

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	13.89%	—	2.78%	2.78%	—	25.00%
1	2.78%	8.33%	—	5.56%	2.78%	2.78%	22.22%
2	5.56%	8.33%	2.78%	13.89%	—	—	30.56%
3	2.78%	2.78%	5.56%	—	—	2.78%	13.89%
4	2.78%	2.78%	2.78%	—	—	—	8.33%
5+	—	—	—	—	—	—	—
Total	19.44%	36.11%	11.11%	22.22%	5.56%	5.56%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.58	1.78	-0.19
SD	1.25	1.51	1.94
CV	0.79	0.85	—
Max	4	6	+4
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	8.33%	8.33%	5.56%	2.78%	5.56%	38.89%
1	2.78%	11.11%	11.11%	2.78%	—	—	27.78%
2	—	5.56%	8.33%	2.78%	—	—	16.67%
3	—	8.33%	2.78%	—	—	—	11.11%
4	—	2.78%	—	—	—	—	2.78%
5+	—	2.78%	—	—	—	—	2.78%
Total	11.11%	38.89%	30.56%	11.11%	2.78%	5.56%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.19	1.75	-0.56
SD	1.31	1.32	2.06
CV	1.09	0.75	—
Max	5	6	+4
Min	0	0	-6

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	16.67%	5.56%	11.11%	2.78%	—	—	36.11%
1	13.89%	5.56%	16.67%	—	2.78%	2.78%	41.67%
2	—	8.33%	8.33%	—	2.78%	2.78%	22.22%
3	—	—	—	—	—	—	—
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	30.56%	19.44%	36.11%	2.78%	5.56%	5.56%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.86	1.50	-0.64
SD	0.76	1.40	1.36
CV	0.88	0.94	—
Max	2	5	+1
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	5.56%	5.56%	—	—	—	19.44%
1	8.33%	8.33%	2.78%	2.78%	2.78%	—	25.00%
2	5.56%	13.89%	2.78%	—	—	—	22.22%
3	5.56%	8.33%	5.56%	—	—	—	19.44%
4	2.78%	11.11%	—	—	—	—	13.89%
5+	—	—	—	—	—	—	—
Total	30.56%	47.22%	16.67%	2.78%	2.78%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.83	1.00	+0.83
SD	1.34	0.93	1.68
CV	0.73	0.93	—
Max	4	4	+4
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	5.56%	2.78%	—	5.56%	—	13.89%
1	8.33%	—	16.67%	2.78%	2.78%	—	30.56%
2	8.33%	8.33%	8.33%	8.33%	—	2.78%	36.11%
3	2.78%	2.78%	5.56%	—	—	—	11.11%
4	2.78%	—	—	—	—	—	2.78%
5+	5.56%	—	—	—	—	—	5.56%
Total	27.78%	16.67%	33.33%	11.11%	8.33%	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.78	1.64	+0.14
SD	1.33	1.38	2.26
CV	0.75	0.84	—
Max	6	5	+6
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	2.78%	8.33%	2.78%	2.78%	—	19.44%
1	11.11%	13.89%	5.56%	—	—	—	30.56%
2	11.11%	16.67%	5.56%	5.56%	—	—	38.89%
3	2.78%	—	2.78%	—	—	—	5.56%
4	—	2.78%	—	—	—	—	2.78%
5+	—	2.78%	—	—	—	—	2.78%
Total	27.78%	38.89%	22.22%	8.33%	2.78%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.53	1.19	+0.33
SD	1.23	1.04	1.76
CV	0.81	0.87	—
Max	6	4	+5
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	13.89%	5.56%	5.56%	11.11%	8.33%	—	44.44%
1	5.56%	5.56%	8.33%	8.33%	2.78%	—	30.56%
2	8.33%	5.56%	—	2.78%	—	—	16.67%
3	—	2.78%	—	—	—	—	2.78%
4	2.78%	—	—	—	—	—	2.78%
5+	—	2.78%	—	—	—	—	2.78%
Total	30.56%	22.22%	13.89%	22.22%	11.11%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.97	1.61	-0.64
SD	1.21	1.42	2.11
CV	1.24	0.88	—
Max	5	4	+4
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	13.89%	5.56%	2.78%	—	—	25.00%
1	8.33%	13.89%	8.33%	2.78%	11.11%	2.78%	47.22%
2	—	2.78%	5.56%	—	—	—	8.33%
3	2.78%	2.78%	11.11%	—	—	—	16.67%
4	—	2.78%	—	—	—	—	2.78%
5+	—	—	—	—	—	—	—
Total	13.89%	36.11%	30.56%	5.56%	11.11%	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.25	1.72	-0.47
SD	1.11	1.28	1.72
CV	0.88	0.74	—
Max	4	5	+3
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	13.89%	5.56%	2.78%	2.78%	2.78%	36.11%
1	5.56%	—	13.89%	5.56%	5.56%	2.78%	33.33%
2	2.78%	11.11%	—	2.78%	—	—	16.67%
3	5.56%	—	—	—	—	—	5.56%
4	2.78%	5.56%	—	—	—	—	8.33%
5+	—	—	—	—	—	—	—
Total	25.00%	30.56%	19.44%	11.11%	8.33%	5.56%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.17	1.67	-0.50
SD	1.23	1.55	2.22
CV	1.05	0.93	—
Max	4	6	+4
Min	0	0	-5

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	—	2.78%	—	—	—	2.78%
1	8.33%	16.67%	2.78%	2.78%	—	—	30.56%
2	13.89%	5.56%	2.78%	—	—	—	22.22%
3	8.33%	5.56%	2.78%	—	—	—	16.67%
4	11.11%	2.78%	—	—	—	—	13.89%
5+	2.78%	2.78%	5.56%	2.78%	—	—	13.89%
Total	44.44%	33.33%	16.67%	5.56%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.53	0.83	+1.69
SD	1.54	0.91	1.75
CV	0.61	1.09	—
Max	6	3	+5
Min	0	0	-2

Games Played: 36

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
Zurich	1670	85	72.29	+12.71	96.0%	54	58	67	73	78	84	90
Neuchatel Xamax	1575	73	59.97	+13.03	96.0%	43	47	55	60	64	70	82
Servette	1539	62	54.49	+7.51	88.0%	32	40	50	55	59	65	76
Schaffhausen	1507	51	47.40	+3.60	75.0%	33	35	43	47	51	58	61
Aarau	1457	45	51.76	-6.76	21.0%	35	38	47	53	57	63	68
Winterthur	1414	41	43.85	-2.85	36.0%	27	33	39	44	48	53	65
Wohlen	1412	39	40.77	-1.77	42.0%	23	27	35	40	46	53	64
Wil	1390	34	45.39	-11.39	8.0%	27	32	39	46	51	58	60
Chiasso	1382	37	40.83	-3.83	30.0%	12	27	36	42	46	52	64
Le Mont	1360	35	37.34	-2.34	43.0%	26	28	34	37	41	47	53

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 11.5% * Slight Edge: 11.5% to 19% * Clear Edge: 19% to 28.5% * Strong Edge: 28.5% 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

+5.00%

No Edge

42.78%19.44%37.78%

Elo Value

Home Edge: 17.39 Elo pts.

136 Elo

0.007 goals per Elo point

0400

Scoring Tilt

Expected

+0.09 goals

Neutral

-2+0.13+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 * Middle of the Pack: 3rd to 5th * Longshot: 6th 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 0.06 * Tight Race: 0.06 to 0.13 * Comfortable: 0.13 to 0.24 * Runaway: 0.24 and up.

Title-Race Openness

1.4

One-Team Race

123410

Champion Preseason Odds

83%

Zurich, 1st of 10

LongshotFavorite

Title Margin

Expected

0.33/gm

Runaway

00.300.5/gm

Simulation-Based Surprises

How these are measured

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

Luck Spread: Standard deviation of the gap between each team's actual points and their simulated average points. The gold line is the spread the model expected from chance alone.
As Expected: under 5.92 * Some Luck: 5.92 to 8.88 * Lucky: 8.88 to 11.84 * Wild Swing: 11.84 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 1.14 * Close: 1.14 to 1.71 * Off: 1.71 to 2.28 * Way Off: 2.28 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 10 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 10 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 10 * As Expected: 10 to 16 * Several Outliers: 16 to 22 * Many Outliers: 22 and up.

Luck Spread

Expected

7.75 points

Some Luck

07.4018

Average Finish Error

Expected

1.00

Pinpoint

01.433

Biggest Overachiever

Expected 95.00%

96.00%

Zurich

50100

Biggest Underachiever

Expected 5.00%

8.00%

Wil

050

Season Outliers

Expected

2 of 10

Minimal Outliers

01.010

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 0.13 * Even: 0.13 to 0.17 * Top-Heavy: 0.17 to 0.2 * Lopsided: 0.2 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 1.5 * Moderate Separation: 1.5 to 1.8 * Strong Separation: 1.8 to 2.15 * Wide Separation: 2.15 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 63.5% * Slight Edge: 63.5% to 68% * Clear Edge: 68% to 74.5% * Wide Edge: 74.5% 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 85% * Clear Edge: 85% to 91% * Strong Edge: 91% 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 54.5% * Some Drama: 54.5% to 60% * Frequent: 60% to 65% * Very Frequent: 65% 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 14.5% * Occasional: 14.5% to 18.5% * Frequent: 18.5% to 23.5% * Very Frequent: 23.5% and up.

Gini Index

0.18

Top-Heavy

00.130.20.5

Noll-Scully

Elo SD: 100.00

2.15

Wide Separation

0.751.51.82.153

Interquartile Edge

69%

Clear Edge

50%63.5%74.5%100%

Best vs. Worst

Baseline

86%

Clear Edge

50%87%100%

Close Games

Expected

59%

Some Drama

0%54%100%

Blowouts

Expected

23%

Frequent

0%22%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 0.34 * Slight Separation: 0.34 to 0.42 * Notable Separation: 0.42 to 0.51 * Lopsided: 0.51 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 0.38 * Some Carryover: 0.38 to 0.57 * Strong Carryover: 0.57 to 0.7 * Near-Lock: 0.7 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 18% * As Expected: 18% to 22% * Upset-Prone: 22% to 25% * Very Upset-Prone: 25% and up.
Clear Favorite Upset Rate: Share of matches the underdog won, counting only games with a clear favorite (at least 60% likely to win once a draw is set aside). The gold line is how often the model expected these favorites to slip.
Solid Favorites: under 15.5% * As Expected: 15.5% to 18.5% * Shaky Favorites: 18.5% to 22% * Very Shaky: 22% and up.

Brier Score

Expected

0.59

Predictable

00.612

Matchup Imbalance

0.29

Very Even

00.340.420.5

Strangeness

Expected

1.05

As Expected

01.002

Repeatability

0.78

Near-Lock

00.380.570.71

Upset Rate

Expected

24%

Upset-Prone

0%27%50%

Clear Favorite Upset Rate

Expected

21%

Shaky Favorites

0%23%50%

Calibration

How these are measured

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

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

Probability calibration

0.50

Excellent

0.010.050.10.51

Calibration slope

Ideal

1.25

Underconfident

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.075

Well Within Noise

00.1250.3

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
Zurich	83.00%	10.00%	6.00%	—	1.00%	—	—	—	—	—
Neuchatel Xamax	13.00%	52.00%	14.00%	10.00%	8.00%	1.00%	—	2.00%	—	—
Servette	2.00%	15.00%	35.00%	21.00%	15.00%	3.00%	4.00%	2.00%	1.00%	2.00%
Schaffhausen	—	2.00%	12.00%	14.00%	14.00%	21.00%	15.00%	12.00%	6.00%	4.00%
Aarau	1.00%	15.00%	18.00%	28.00%	14.00%	3.00%	15.00%	2.00%	1.00%	3.00%
Winterthur	1.00%	1.00%	4.00%	3.00%	17.00%	15.00%	16.00%	21.00%	13.00%	9.00%
Wohlen	—	3.00%	1.00%	5.00%	6.00%	16.00%	12.00%	17.00%	18.00%	22.00%
Chiasso	—	1.00%	2.00%	5.00%	10.00%	14.00%	17.00%	16.00%	17.00%	18.00%
Le Mont	—	—	—	4.00%	—	6.00%	11.00%	14.00%	33.00%	32.00%
Wil	—	1.00%	8.00%	10.00%	15.00%	21.00%	10.00%	14.00%	11.00%	10.00%

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	Direct promotion	Same level	Direct relegation
Zurich	83.00%	17.00%	—
Neuchatel Xamax	13.00%	87.00%	—
Servette	2.00%	96.00%	2.00%
Aarau	1.00%	96.00%	3.00%
Schaffhausen	—	96.00%	4.00%
Winterthur	1.00%	90.00%	9.00%
Wil	—	90.00%	10.00%
Chiasso	—	82.00%	18.00%
Wohlen	—	78.00%	22.00%
Le Mont	—	68.00%	32.00%

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
2016-07-23	Servette	W 2-1	56.1	1512	1505	43.08%	24.55%	32.37%	+0.18	+4.5	3
2016-07-23	@ Neuchatel Xamax	L 1-2	56.1	1505	1512	32.37%	24.55%	43.08%	-0.18	-4.5	0
2016-07-23	Wil	W 1-0	49.2	1461	1482	39.09%	24.73%	36.17%	-0.02	+5.2	3
2016-07-23	@ Schaffhausen	L 0-1	49.2	1482	1461	36.17%	24.73%	39.09%	+0.02	-5.2	0
2016-07-24	Chiasso	D 1-1	60.7	1495	1432	50.60%	23.60%	25.80%	+0.59	-0.7	1
2016-07-24	@ Aarau	D 1-1	60.7	1432	1495	25.80%	23.60%	50.60%	-0.59	+0.7	1
2016-07-24	Wohlen	L 0-3	41.2	1406	1418	40.24%	24.70%	35.06%	+0.03	-15.5	0
2016-07-24	@ Le Mont	W 3-0	41.2	1418	1406	35.06%	24.70%	40.24%	-0.03	+15.5	3
2016-07-25	Winterthur	W 2-0	43.3	1545	1451	54.40%	22.80%	22.80%	+0.81	+6.7	3
2016-07-25	@ Zurich	L 0-2	43.3	1451	1545	22.80%	22.80%	54.40%	-0.81	-6.7	0
2016-07-29	Neuchatel Xamax	D 0-0	57.0	1434	1517	30.68%	24.40%	44.92%	-0.48	+0.5	4
2016-07-29	@ Wohlen	D 0-0	57.0	1517	1434	44.92%	24.40%	30.68%	+0.48	-0.5	4
2016-07-30	Aarau	L 1-2	54.1	1445	1494	35.00%	24.70%	40.30%	-0.24	-4.8	0
2016-07-30	@ Winterthur	W 2-1	54.1	1494	1445	40.30%	24.70%	35.00%	+0.24	+4.8	4
2016-07-30	Zurich	D 1-1	64.2	1477	1551	31.71%	24.50%	43.80%	-0.42	+0.3	1
2016-07-30	@ Wil	D 1-1	64.2	1551	1477	43.80%	24.50%	31.71%	+0.42	-0.4	4
2016-07-31	Schaffhausen	L 2-3	58.7	1433	1466	37.22%	24.75%	38.03%	-0.12	-4.8	1
2016-07-31	@ Chiasso	W 3-2	58.7	1466	1433	38.03%	24.75%	37.22%	+0.12	+4.8	6
2016-08-06	Winterthur	L 0-1	48.0	1428	1440	40.34%	24.70%	34.96%	+0.04	-5.7	1
2016-08-06	@ Chiasso	W 1-0	48.0	1440	1428	34.96%	24.70%	40.34%	-0.04	+5.7	3
2016-08-06	Wohlen	W 4-0	39.2	1551	1434	57.22%	22.06%	20.71%	+0.98	+11.6	7
2016-08-06	@ Zurich	L 0-4	39.2	1434	1551	20.71%	22.06%	57.22%	-0.98	-11.6	4
2016-08-07	Le Mont	L 1-2	56.5	1471	1390	52.88%	23.15%	23.97%	+0.72	-6.7	6
2016-08-07	@ Schaffhausen	W 2-1	56.5	1390	1471	23.97%	23.15%	52.88%	-0.72	+6.7	3
2016-08-07	Wil	W 3-2	59.2	1516	1477	47.42%	24.10%	28.47%	+0.42	+3.9	7
2016-08-07	@ Neuchatel Xamax	L 2-3	59.2	1477	1516	28.47%	24.10%	47.42%	-0.42	-3.9	1
2016-08-08	Servette	W 2-0	47.1	1499	1500	41.90%	24.63%	33.48%	+0.12	+9.3	7
2016-08-08	@ Aarau	L 0-2	47.1	1500	1499	33.48%	24.63%	41.90%	-0.12	-9.3	0
2016-08-10	Chiasso	L 1-2	53.2	1423	1422	42.14%	24.61%	33.25%	+0.13	-5.5	4
2016-08-10	@ Wohlen	W 2-1	53.2	1422	1423	33.25%	24.61%	42.14%	-0.13	+5.5	4
2016-08-10	Neuchatel Xamax	L 0-1	48.6	1446	1520	31.71%	24.50%	43.79%	-0.42	-4.7	3
2016-08-10	@ Winterthur	W 1-0	48.6	1520	1446	43.79%	24.50%	31.71%	+0.42	+4.7	10
2016-08-10	Zurich	L 0-2	41.5	1397	1562	21.83%	22.48%	55.69%	-1.09	-6.4	3
2016-08-10	@ Le Mont	W 2-0	41.5	1562	1397	55.69%	22.48%	21.83%	+1.09	+6.4	10
2016-08-11	Aarau	D 0-0	58.1	1473	1508	37.01%	24.75%	38.24%	-0.13	+0.0	2
2016-08-11	@ Wil	D 0-0	58.1	1508	1473	38.24%	24.75%	37.01%	+0.13	-0.0	8
2016-08-11	Schaffhausen	L 0-2	49.1	1491	1465	45.69%	24.32%	30.00%	+0.32	-11.8	0
2016-08-11	@ Servette	W 2-0	49.1	1465	1491	30.00%	24.32%	45.69%	-0.32	+11.8	9
2016-08-20	Schaffhausen	W 3-2	59.2	1508	1476	46.46%	24.23%	29.31%	+0.36	+4.0	11
2016-08-20	@ Aarau	L 2-3	59.2	1476	1508	29.31%	24.23%	46.46%	-0.36	-4.0	9
2016-08-20	Servette	W 2-0	45.6	1473	1479	41.22%	24.66%	34.12%	+0.09	+9.4	5
2016-08-20	@ Wil	L 0-2	45.6	1479	1473	34.12%	24.66%	41.22%	-0.09	-9.4	0
2016-08-21	Le Mont	L 1-2	53.9	1428	1390	47.17%	24.14%	28.69%	+0.40	-6.1	4
2016-08-21	@ Chiasso	W 2-1	53.9	1390	1428	28.69%	24.14%	47.17%	-0.40	+6.1	6
2016-08-21	Wohlen	W 1-0	44.6	1441	1417	45.30%	24.36%	30.34%	+0.30	+4.6	6
2016-08-21	@ Winterthur	L 0-1	44.6	1417	1441	30.34%	24.36%	45.30%	-0.30	-4.5	4
2016-08-22	Neuchatel Xamax	W 1-0	52.0	1569	1525	48.09%	24.01%	27.90%	+0.45	+4.2	13
2016-08-22	@ Zurich	L 0-1	52.0	1525	1569	27.90%	24.01%	48.09%	-0.45	-4.2	10
2016-08-24	Le Mont	W 2-1	48.2	1470	1397	51.87%	23.36%	24.77%	+0.67	+3.6	3
2016-08-24	@ Servette	L 1-2	48.2	1397	1470	24.77%	23.36%	51.87%	-0.67	-3.6	6
2016-08-27	Wil	L 1-3	48.8	1413	1483	32.30%	24.55%	43.15%	-0.39	-7.8	4
2016-08-27	@ Wohlen	W 3-1	48.8	1483	1413	43.15%	24.55%	32.30%	+0.39	+7.8	8
2016-08-27	Zurich	L 1-3	53.0	1472	1573	28.52%	24.11%	47.37%	-0.61	-7.1	9
2016-08-27	@ Schaffhausen	W 3-1	53.0	1573	1472	47.37%	24.11%	28.52%	+0.61	+7.1	16
2016-08-28	Chiasso	D 1-1	59.6	1473	1422	49.08%	23.86%	27.06%	+0.51	-0.6	4
2016-08-28	@ Servette	D 1-1	59.6	1422	1473	27.06%	23.86%	49.08%	-0.51	+0.6	5
2016-08-28	Winterthur	D 1-1	57.7	1393	1445	34.61%	24.69%	40.70%	-0.26	+0.2	7
2016-08-28	@ Le Mont	D 1-1	57.7	1445	1393	40.70%	24.69%	34.61%	+0.26	-0.2	7
2016-08-29	Aarau	W 4-1	51.0	1521	1512	43.18%	24.55%	32.28%	+0.19	+11.1	13
2016-08-29	@ Neuchatel Xamax	L 1-4	51.0	1512	1521	32.28%	24.55%	43.18%	-0.19	-11.1	11
2016-09-10	Le Mont	W 2-1	47.8	1501	1393	56.24%	22.33%	21.43%	+0.92	+3.2	14
2016-09-10	@ Aarau	L 1-2	47.8	1393	1501	21.43%	22.33%	56.24%	-0.92	-3.1	7
2016-09-10	Schaffhausen	W 2-0	44.3	1532	1465	50.99%	23.53%	25.48%	+0.62	+7.4	16
2016-09-10	@ Neuchatel Xamax	L 0-2	44.3	1465	1532	25.48%	23.53%	50.99%	-0.62	-7.4	9
2016-09-11	Chiasso	W 1-0	44.6	1580	1422	61.99%	20.54%	17.47%	+1.29	+2.7	19
2016-09-11	@ Zurich	L 0-1	44.6	1422	1580	17.47%	20.54%	61.99%	-1.29	-2.7	5
2016-09-11	Wohlen	W 6-1	40.6	1473	1405	51.17%	23.50%	25.33%	+0.63	+14.2	7
2016-09-11	@ Servette	L 1-6	40.6	1405	1473	25.33%	23.50%	51.17%	-0.63	-14.3	4
2016-09-12	Wil	W 3-0	44.5	1445	1490	35.60%	24.72%	39.68%	-0.21	+15.4	10
2016-09-12	@ Winterthur	L 0-3	44.5	1490	1445	39.68%	24.72%	35.60%	+0.21	-15.4	8
2016-09-21	Aarau	L 1-4	44.3	1391	1504	27.03%	23.85%	49.12%	-0.71	-9.5	4
2016-09-21	@ Wohlen	W 4-1	44.3	1504	1391	49.12%	23.85%	27.03%	+0.71	+9.5	17
2016-09-21	Le Mont	W 2-0	39.0	1475	1390	53.40%	23.03%	23.56%	+0.75	+6.9	11
2016-09-21	@ Wil	L 0-2	39.0	1390	1475	23.56%	23.03%	53.40%	-0.75	-6.9	7
2016-09-21	Neuchatel Xamax	L 1-2	51.9	1420	1539	26.41%	23.73%	49.86%	-0.75	-3.8	5
2016-09-21	@ Chiasso	W 2-1	51.9	1539	1420	49.86%	23.73%	26.41%	+0.75	+3.8	19
2016-09-22	Servette	W 3-0	43.6	1583	1487	54.76%	22.71%	22.53%	+0.83	+9.6	22
2016-09-22	@ Zurich	L 0-3	43.6	1487	1583	22.53%	22.71%	54.76%	-0.83	-9.6	7
2016-09-22	Winterthur	D 2-2	65.9	1458	1461	41.66%	24.64%	33.70%	+0.11	-0.2	10
2016-09-22	@ Schaffhausen	D 2-2	65.9	1461	1458	33.70%	24.64%	41.66%	-0.11	+0.2	11
2016-09-24	Neuchatel Xamax	W 1-0	53.6	1383	1543	22.36%	22.66%	54.98%	-1.05	+7.3	10
2016-09-24	@ Le Mont	L 0-1	53.6	1543	1383	54.98%	22.66%	22.36%	+1.05	-7.3	19
2016-09-24	Wil	L 0-4	40.5	1416	1482	32.77%	24.58%	42.64%	-0.36	-17.3	5
2016-09-24	@ Chiasso	W 4-0	40.5	1482	1416	42.64%	24.58%	32.77%	+0.36	+17.3	14
2016-09-25	Wohlen	L 0-1	50.3	1458	1381	52.33%	23.26%	24.41%	+0.69	-7.0	10
2016-09-25	@ Schaffhausen	W 1-0	50.3	1381	1458	24.41%	23.26%	52.33%	-0.69	+7.0	7
2016-09-25	Zurich	D 1-1	66.9	1514	1592	31.20%	24.45%	44.35%	-0.45	+0.4	18
2016-09-25	@ Aarau	D 1-1	66.9	1592	1514	44.35%	24.45%	31.20%	+0.45	-0.4	23
2016-09-26	Servette	W 3-2	59.5	1461	1477	39.71%	24.72%	35.57%	+0.01	+4.6	14
2016-09-26	@ Winterthur	L 2-3	59.5	1477	1461	35.57%	24.72%	39.71%	-0.01	-4.6	7
2016-10-01	Chiasso	D 0-0	52.2	1390	1398	40.90%	24.68%	34.42%	+0.07	-0.2	11
2016-10-01	@ Le Mont	D 0-0	52.2	1398	1390	34.42%	24.68%	40.90%	-0.07	+0.2	6
2016-10-01	Winterthur	W 4-1	47.4	1535	1465	51.49%	23.43%	25.07%	+0.64	+8.9	22
2016-10-01	@ Neuchatel Xamax	L 1-4	47.4	1465	1535	25.07%	23.43%	51.49%	-0.64	-8.9	14
2016-10-02	Aarau	W 1-0	51.7	1473	1514	36.08%	24.73%	39.18%	-0.18	+5.6	10
2016-10-02	@ Servette	L 0-1	51.7	1514	1473	39.18%	24.73%	36.08%	+0.18	-5.6	18
2016-10-02	Zurich	L 0-5	38.5	1388	1592	18.64%	21.15%	60.21%	-1.37	-12.8	7
2016-10-02	@ Wohlen	W 5-0	38.5	1592	1388	60.21%	21.15%	18.64%	+1.37	+12.8	26
2016-10-03	Schaffhausen	W 2-1	52.0	1499	1451	48.68%	23.92%	27.39%	+0.49	+3.9	17
2016-10-03	@ Wil	L 1-2	52.0	1451	1499	27.39%	23.92%	48.68%	-0.49	-3.9	10
2016-10-15	Chiasso	D 1-1	58.4	1456	1399	49.91%	23.72%	26.37%	+0.55	-0.7	15
2016-10-15	@ Winterthur	D 1-1	58.4	1399	1456	26.37%	23.72%	49.91%	-0.55	+0.7	7
2016-10-15	Le Mont	D 1-1	64.8	1605	1390	68.00%	18.16%	13.84%	+1.71	-1.7	27
2016-10-15	@ Zurich	D 1-1	64.8	1390	1605	13.84%	18.16%	68.00%	-1.71	+1.7	12
2016-10-16	Servette	L 1-2	54.4	1447	1478	37.58%	24.75%	37.68%	-0.10	-5.1	10
2016-10-16	@ Schaffhausen	W 2-1	54.4	1478	1447	37.68%	24.75%	37.58%	+0.10	+5.1	13
2016-10-16	Wil	L 0-1	53.7	1509	1503	42.81%	24.57%	32.62%	+0.17	-6.0	18
2016-10-16	@ Aarau	W 1-0	53.7	1503	1509	32.62%	24.57%	42.81%	-0.17	+6.0	20
2016-10-17	Wohlen	L 1-4	54.8	1544	1375	63.22%	20.09%	16.69%	+1.37	-18.9	22
2016-10-17	@ Neuchatel Xamax	W 4-1	54.8	1375	1544	16.69%	20.09%	63.22%	-1.37	+18.9	10
2016-10-22	Aarau	W 3-1	53.5	1399	1503	28.18%	24.06%	47.76%	-0.63	+10.6	10
2016-10-22	@ Chiasso	L 1-3	53.5	1503	1399	47.76%	24.06%	28.18%	+0.63	-10.6	18
2016-10-22	Le Mont	L 0-1	46.5	1394	1392	42.38%	24.60%	33.02%	+0.15	-5.9	10
2016-10-22	@ Wohlen	W 1-0	46.5	1392	1394	33.02%	24.60%	42.38%	-0.15	+5.9	15
2016-10-23	Schaffhausen	W 5-2	48.6	1603	1442	62.39%	20.40%	17.21%	+1.32	+5.4	30
2016-10-23	@ Zurich	L 2-5	48.6	1442	1603	17.21%	20.40%	62.39%	-1.32	-5.4	10
2016-10-23	Winterthur	W 5-1	45.0	1509	1456	49.33%	23.82%	26.85%	+0.52	+12.2	23
2016-10-23	@ Wil	L 1-5	45.0	1456	1509	26.85%	23.82%	49.33%	-0.52	-12.2	15
2016-10-24	Neuchatel Xamax	D 0-0	59.1	1483	1525	36.02%	24.73%	39.25%	-0.18	+0.1	14
2016-10-24	@ Servette	D 0-0	59.1	1525	1483	39.25%	24.73%	36.02%	+0.18	-0.1	23
2016-10-29	Wohlen	L 0-2	44.2	1410	1388	45.04%	24.38%	30.58%	+0.29	-11.7	10
2016-10-29	@ Chiasso	W 2-0	44.2	1388	1410	30.58%	24.38%	45.04%	-0.29	+11.7	13
2016-10-30	Schaffhausen	W 1-0	46.6	1398	1436	36.53%	24.74%	38.73%	-0.16	+5.5	18
2016-10-30	@ Le Mont	L 0-1	46.6	1436	1398	38.73%	24.74%	36.53%	+0.16	-5.5	10
2016-10-30	Winterthur	D 1-1	60.9	1492	1444	48.70%	23.92%	27.38%	+0.49	-0.6	19
2016-10-30	@ Aarau	D 1-1	60.9	1444	1492	27.38%	23.92%	48.70%	-0.49	+0.6	16
2016-10-30	Zurich	L 1-3	56.6	1525	1609	30.61%	24.39%	45.00%	-0.48	-7.5	23
2016-10-30	@ Neuchatel Xamax	W 3-1	56.6	1609	1525	45.00%	24.39%	30.61%	+0.48	+7.5	33
2016-10-31	Wil	W 2-1	57.6	1483	1521	36.60%	24.74%	38.66%	-0.15	+5.2	17
2016-10-31	@ Servette	L 1-2	57.6	1521	1483	38.66%	24.74%	36.60%	+0.15	-5.2	23
2016-11-05	Le Mont	D 0-0	53.8	1444	1403	47.66%	24.07%	28.27%	+0.43	-0.6	17
2016-11-05	@ Winterthur	D 0-0	53.8	1403	1444	28.27%	24.07%	47.66%	-0.43	+0.6	19
2016-11-05	Neuchatel Xamax	L 1-4	47.2	1431	1518	30.15%	24.33%	45.52%	-0.51	-10.5	10
2016-11-05	@ Schaffhausen	W 4-1	47.2	1518	1431	45.52%	24.33%	30.15%	+0.51	+10.5	26
2016-11-06	Aarau	W 6-3	53.2	1616	1492	58.18%	21.78%	20.04%	+1.04	+5.8	36
2016-11-06	@ Zurich	L 3-6	53.2	1492	1616	20.04%	21.78%	58.18%	-1.04	-5.8	19
2016-11-06	Servette	L 1-2	50.8	1400	1489	29.97%	24.31%	45.72%	-0.52	-4.2	13
2016-11-06	@ Wohlen	W 2-1	50.8	1489	1400	45.72%	24.31%	29.97%	+0.52	+4.2	20
2016-11-07	Chiasso	D 0-0	56.5	1516	1398	57.42%	22.01%	20.57%	+1.00	-1.3	24
2016-11-07	@ Wil	D 0-0	56.5	1398	1516	20.57%	22.01%	57.42%	-1.00	+1.3	11
2016-11-19	Chiasso	W 3-0	37.3	1528	1399	58.69%	21.63%	19.68%	+1.08	+8.4	29
2016-11-19	@ Neuchatel Xamax	L 0-3	37.3	1399	1528	19.68%	21.63%	58.69%	-1.08	-8.4	11
2016-11-19	Winterthur	W 1-0	47.1	1396	1444	35.26%	24.71%	40.03%	-0.22	+5.7	16
2016-11-19	@ Wohlen	L 0-1	47.1	1444	1396	40.03%	24.71%	35.26%	+0.22	-5.7	17
2016-11-20	Wil	D 0-0	56.0	1404	1515	27.32%	23.91%	48.77%	-0.69	+0.7	20
2016-11-20	@ Le Mont	D 0-0	56.0	1515	1404	48.77%	23.91%	27.32%	+0.69	-0.7	25
2016-11-20	Zurich	L 0-4	45.6	1493	1622	25.37%	23.51%	51.12%	-0.82	-14.0	20
2016-11-20	@ Servette	W 4-0	45.6	1622	1493	51.12%	23.51%	25.37%	+0.82	+14.0	39
2016-11-21	Aarau	L 2-3	57.6	1420	1486	32.88%	24.59%	42.53%	-0.35	-4.4	10
2016-11-21	@ Schaffhausen	W 3-2	57.6	1486	1420	42.53%	24.59%	32.88%	+0.35	+4.3	22
2016-11-26	Neuchatel Xamax	L 2-3	62.7	1490	1537	35.42%	24.72%	39.87%	-0.22	-4.6	22
2016-11-26	@ Aarau	W 3-2	62.7	1537	1490	39.87%	24.72%	35.42%	+0.22	+4.6	32
2016-11-26	Wohlen	L 1-2	59.1	1514	1401	56.80%	22.18%	21.02%	+0.96	-7.1	25
2016-11-26	@ Wil	W 2-1	59.1	1401	1514	21.02%	22.18%	56.80%	-0.96	+7.1	19
2016-11-27	Schaffhausen	L 0-1	48.9	1438	1416	45.07%	24.38%	30.55%	+0.29	-6.2	17
2016-11-27	@ Winterthur	W 1-0	48.9	1416	1438	30.55%	24.38%	45.07%	-0.29	+6.2	13
2016-11-27	Servette	L 0-2	42.5	1405	1479	31.75%	24.50%	43.75%	-0.42	-8.9	20
2016-11-27	@ Le Mont	W 2-0	42.5	1479	1405	43.75%	24.50%	31.75%	+0.42	+8.9	23
2016-11-28	Zurich	L 0-2	41.3	1391	1636	15.77%	19.52%	64.71%	-1.67	-4.6	11
2016-11-28	@ Chiasso	W 2-0	41.3	1636	1391	64.71%	19.52%	15.77%	+1.67	+4.6	42
2016-12-03	Wil	W 2-0	47.0	1640	1507	59.20%	21.47%	19.33%	+1.11	+5.7	45
2016-12-03	@ Zurich	L 0-2	47.0	1507	1640	19.33%	21.47%	59.20%	-1.11	-5.7	25
2016-12-03	Winterthur	D 1-1	60.4	1488	1432	49.67%	23.76%	26.57%	+0.54	-0.7	24
2016-12-03	@ Servette	D 1-1	60.4	1432	1488	26.57%	23.76%	49.67%	-0.54	+0.7	18
2016-12-04	Chiasso	L 1-2	53.6	1422	1386	46.97%	24.16%	28.86%	+0.39	-6.0	13
2016-12-04	@ Schaffhausen	W 2-1	53.6	1386	1422	28.86%	24.16%	46.97%	-0.39	+6.0	14
2016-12-04	Wohlen	W 1-0	43.6	1486	1409	52.38%	23.25%	24.37%	+0.69	+3.8	25
2016-12-04	@ Aarau	L 0-1	43.6	1409	1486	24.37%	23.25%	52.38%	-0.69	-3.8	19
2016-12-05	Le Mont	W 2-1	47.9	1541	1396	60.62%	21.01%	18.37%	+1.20	+2.7	35
2016-12-05	@ Neuchatel Xamax	L 1-2	47.9	1396	1541	18.37%	21.01%	60.62%	-1.20	-2.7	20
2016-12-10	Neuchatel Xamax	D 0-0	60.4	1502	1544	35.98%	24.73%	39.28%	-0.18	+0.1	26
2016-12-10	@ Wil	D 0-0	60.4	1544	1502	39.28%	24.73%	35.98%	+0.18	-0.1	36
2016-12-10	Servette	D 2-2	64.7	1393	1487	29.25%	24.22%	46.54%	-0.57	+0.4	15
2016-12-10	@ Chiasso	D 2-2	64.7	1487	1393	46.54%	24.22%	29.25%	+0.57	-0.4	25
2016-12-11	Aarau	D 0-0	54.8	1393	1489	29.03%	24.19%	46.79%	-0.58	+0.6	21
2016-12-11	@ Le Mont	D 0-0	54.8	1489	1393	46.79%	24.19%	29.03%	+0.58	-0.6	26
2016-12-11	Schaffhausen	W 4-0	38.9	1405	1416	40.41%	24.70%	34.89%	+0.04	+18.2	22
2016-12-11	@ Wohlen	L 0-4	38.9	1416	1405	34.89%	24.70%	40.41%	-0.04	-18.2	13
2016-12-12	Zurich	L 0-2	44.2	1432	1646	17.90%	20.77%	61.33%	-1.45	-5.3	18
2016-12-12	@ Winterthur	W 2-0	44.2	1646	1432	61.33%	20.77%	17.90%	+1.45	+5.3	48
2017-02-04	Le Mont	D 0-0	55.7	1502	1394	56.23%	22.34%	21.44%	+0.92	-1.2	27
2017-02-04	@ Wil	D 0-0	55.7	1394	1502	21.44%	22.34%	56.23%	-0.92	+1.2	22
2017-02-04	Winterthur	W 4-1	45.7	1393	1427	37.17%	24.75%	38.09%	-0.12	+12.6	18
2017-02-04	@ Chiasso	L 1-4	45.7	1427	1393	38.09%	24.75%	37.17%	+0.12	-12.6	18
2017-02-05	Schaffhausen	D 2-2	65.4	1489	1398	54.10%	22.87%	23.03%	+0.80	-0.7	27
2017-02-05	@ Aarau	D 2-2	65.4	1398	1489	23.03%	22.87%	54.10%	-0.80	+0.7	14
2017-02-05	Wohlen	W 3-1	46.9	1544	1423	57.77%	21.90%	20.33%	+1.02	+5.2	39
2017-02-05	@ Neuchatel Xamax	L 1-3	46.9	1423	1544	20.33%	21.90%	57.77%	-1.02	-5.2	22
2017-02-06	Zurich	W 2-1	66.6	1487	1651	21.90%	22.50%	55.59%	-1.08	+7.0	28
2017-02-06	@ Servette	L 1-2	66.6	1651	1487	55.59%	22.50%	21.90%	+1.08	-7.0	48
2017-02-11	Servette	L 1-4	46.1	1414	1494	31.13%	24.44%	44.43%	-0.45	-10.7	18
2017-02-11	@ Winterthur	W 4-1	46.1	1494	1414	44.43%	24.44%	31.13%	+0.45	+10.7	31
2017-02-12	Aarau	L 1-2	52.1	1418	1488	32.25%	24.54%	43.20%	-0.39	-4.5	22
2017-02-12	@ Wohlen	W 2-1	52.1	1488	1418	43.20%	24.54%	32.25%	+0.39	+4.5	30
2017-02-12	Chiasso	W 2-1	49.9	1395	1405	40.52%	24.69%	34.79%	+0.05	+4.8	25
2017-02-12	@ Le Mont	L 1-2	49.9	1405	1395	34.79%	24.69%	40.52%	-0.05	-4.8	18
2017-02-13	Neuchatel Xamax	D 1-1	69.9	1644	1549	54.67%	22.74%	22.60%	+0.83	-1.0	49
2017-02-13	@ Zurich	D 1-1	69.9	1549	1644	22.60%	22.74%	54.67%	-0.83	+1.0	40
2017-02-18	Le Mont	W 4-2	49.5	1493	1400	54.38%	22.81%	22.81%	+0.81	+5.2	33
2017-02-18	@ Aarau	L 2-4	49.5	1400	1493	22.81%	22.81%	54.38%	-0.81	-5.2	25
2017-02-18	Zurich	L 0-4	46.0	1500	1644	23.96%	23.14%	52.89%	-0.92	-13.3	27
2017-02-18	@ Wil	W 4-0	46.0	1644	1500	52.89%	23.14%	23.96%	+0.92	+13.3	52
2017-02-19	Neuchatel Xamax	L 0-2	41.8	1401	1550	23.33%	22.96%	53.70%	-0.97	-6.8	18
2017-02-19	@ Chiasso	W 2-0	41.8	1550	1401	53.70%	22.96%	23.33%	+0.97	+6.8	43
2017-02-19	Schaffhausen	W 3-2	53.4	1504	1399	55.93%	22.42%	21.66%	+0.91	+3.0	34
2017-02-19	@ Servette	L 2-3	53.4	1399	1504	21.66%	22.42%	55.93%	-0.91	-3.0	14
2017-02-20	Wohlen	W 2-1	50.3	1404	1413	40.69%	24.69%	34.62%	+0.06	+4.8	21
2017-02-20	@ Winterthur	L 1-2	50.3	1413	1404	34.62%	24.69%	40.69%	-0.06	-4.8	22
2017-02-25	Wil	W 3-1	51.7	1557	1487	51.45%	23.44%	25.11%	+0.64	+6.3	46
2017-02-25	@ Neuchatel Xamax	L 1-3	51.7	1487	1557	25.11%	23.44%	51.45%	-0.64	-6.3	27
2017-02-25	Winterthur	W 2-1	50.1	1396	1409	40.22%	24.70%	35.08%	+0.03	+4.8	17
2017-02-25	@ Schaffhausen	L 1-2	50.1	1409	1396	35.08%	24.70%	40.22%	-0.03	-4.8	21
2017-02-26	Aarau	W 5-1	48.8	1394	1498	28.14%	24.05%	47.80%	-0.64	+19.4	21
2017-02-26	@ Chiasso	L 1-5	48.8	1498	1394	47.80%	24.05%	28.14%	+0.64	-19.4	33
2017-02-26	Zurich	L 1-4	45.7	1408	1657	15.55%	19.38%	65.08%	-1.70	-5.5	22
2017-02-26	@ Wohlen	W 4-1	45.7	1657	1408	65.08%	19.38%	15.55%	+1.70	+5.5	55
2017-02-27	Le Mont	W 2-1	47.9	1507	1394	56.81%	22.18%	21.01%	+0.96	+3.1	37
2017-02-27	@ Servette	L 1-2	47.9	1394	1507	21.01%	22.18%	56.81%	-0.96	-3.1	25
2017-03-01	Wil	W 3-0	44.0	1400	1481	30.97%	24.43%	44.61%	-0.46	+16.9	20
2017-03-01	@ Schaffhausen	L 0-3	44.0	1481	1400	44.61%	24.43%	30.97%	+0.46	-16.9	27
2017-03-04	Schaffhausen	L 0-2	53.5	1563	1417	60.65%	21.00%	18.35%	+1.20	-14.9	46
2017-03-04	@ Neuchatel Xamax	W 2-0	53.5	1417	1563	18.35%	21.00%	60.65%	-1.20	+15.0	23
2017-03-04	Servette	L 0-2	42.1	1403	1510	27.73%	23.98%	48.28%	-0.66	-8.0	22
2017-03-04	@ Wohlen	W 2-0	42.1	1510	1403	48.28%	23.98%	27.73%	+0.66	+8.0	40
2017-03-05	Chiasso	W 1-0	44.4	1662	1413	71.33%	16.65%	12.01%	+1.96	+1.8	58
2017-03-05	@ Zurich	L 0-1	44.4	1413	1662	12.01%	16.65%	71.33%	-1.96	-1.8	21
2017-03-05	Winterthur	W 1-0	44.5	1391	1404	40.28%	24.70%	35.02%	+0.04	+5.1	28
2017-03-05	@ Le Mont	L 0-1	44.5	1404	1391	35.02%	24.70%	40.28%	-0.04	-5.1	21
2017-03-06	Aarau	L 0-3	44.8	1464	1478	40.01%	24.71%	35.28%	+0.02	-15.5	27
2017-03-06	@ Wil	W 3-0	44.8	1478	1464	35.28%	24.71%	40.01%	-0.02	+15.5	36
2017-03-11	Le Mont	D 2-2	63.3	1432	1396	46.99%	24.16%	28.85%	+0.39	-0.4	24
2017-03-11	@ Schaffhausen	D 2-2	63.3	1396	1432	28.85%	24.16%	46.99%	-0.39	+0.4	29
2017-03-11	Wohlen	D 0-0	52.6	1411	1395	44.33%	24.45%	31.21%	+0.25	-0.4	22
2017-03-11	@ Chiasso	D 0-0	52.6	1395	1411	31.21%	24.45%	44.33%	-0.25	+0.4	23
2017-03-12	Neuchatel Xamax	L 0-1	45.0	1399	1548	23.31%	22.96%	53.74%	-0.97	-3.6	21
2017-03-12	@ Winterthur	W 1-0	45.0	1548	1399	53.74%	22.96%	23.31%	+0.97	+3.6	49
2017-03-12	Wil	W 2-0	43.1	1518	1449	51.46%	23.44%	25.10%	+0.64	+7.3	43
2017-03-12	@ Servette	L 0-2	43.1	1449	1518	25.10%	23.44%	51.46%	-0.64	-7.3	27
2017-03-18	Chiasso	L 1-3	51.6	1441	1411	46.21%	24.26%	29.53%	+0.35	-10.3	27
2017-03-18	@ Wil	W 3-1	51.6	1411	1441	29.53%	24.26%	46.21%	-0.35	+10.3	25
2017-03-18	Winterthur	D 2-2	73.7	1664	1395	73.18%	15.77%	11.05%	+2.11	-1.5	59
2017-03-18	@ Zurich	D 2-2	73.7	1395	1664	11.05%	15.77%	73.18%	-2.11	+1.5	22
2017-03-19	Servette	L 0-1	52.5	1494	1526	37.49%	24.75%	37.76%	-0.11	-5.4	36
2017-03-19	@ Aarau	W 1-0	52.5	1526	1494	37.76%	24.75%	37.49%	+0.11	+5.4	46
2017-03-19	Wohlen	W 3-2	53.9	1432	1395	47.07%	24.15%	28.78%	+0.40	+3.9	27
2017-03-19	@ Schaffhausen	L 2-3	53.9	1395	1432	28.78%	24.15%	47.07%	-0.40	-3.9	23
2017-03-20	Neuchatel Xamax	L 1-2	50.2	1397	1552	22.79%	22.80%	54.41%	-1.01	-3.3	29
2017-03-20	@ Le Mont	W 2-1	50.2	1552	1397	54.41%	22.80%	22.79%	+1.01	+3.3	52
2017-04-01	Le Mont	D 0-0	52.1	1392	1393	41.77%	24.64%	33.60%	+0.11	-0.3	24
2017-04-01	@ Wohlen	D 0-0	52.1	1393	1392	33.60%	24.64%	41.77%	-0.11	+0.3	30
2017-04-01	Schaffhausen	W 2-1	51.2	1663	1436	69.20%	17.63%	13.17%	+1.80	+1.9	62
2017-04-01	@ Zurich	L 1-2	51.2	1436	1663	13.17%	17.63%	69.20%	-1.80	-1.9	27
2017-04-01	Wil	D 1-1	57.3	1396	1431	37.12%	24.75%	38.13%	-0.13	+0.0	23
2017-04-01	@ Winterthur	D 1-1	57.3	1431	1396	38.13%	24.75%	37.12%	+0.13	-0.0	28
2017-04-02	Aarau	W 3-1	51.8	1555	1488	51.08%	23.51%	25.41%	+0.62	+6.4	55
2017-04-02	@ Neuchatel Xamax	L 1-3	51.8	1488	1555	25.41%	23.51%	51.08%	-0.62	-6.4	36
2017-04-03	Servette	D 1-1	61.5	1421	1531	27.48%	23.94%	48.58%	-0.68	+0.6	26
2017-04-03	@ Chiasso	D 1-1	61.5	1531	1421	48.58%	23.94%	27.48%	+0.68	-0.6	47
2017-04-08	Chiasso	W 5-0	39.3	1434	1422	43.70%	24.50%	31.79%	+0.22	+20.9	30
2017-04-08	@ Schaffhausen	L 0-5	39.3	1422	1434	31.79%	24.50%	43.70%	-0.22	-20.9	26
2017-04-08	Neuchatel Xamax	D 1-1	66.4	1530	1562	37.59%	24.75%	37.67%	-0.10	+0.0	48
2017-04-08	@ Servette	D 1-1	66.4	1562	1530	37.67%	24.75%	37.59%	+0.10	+0.0	56
2017-04-09	Winterthur	L 2-3	62.4	1482	1396	53.46%	23.02%	23.52%	+0.76	-6.4	36
2017-04-09	@ Aarau	W 3-2	62.4	1396	1482	23.52%	23.02%	53.46%	-0.76	+6.4	26
2017-04-09	Wohlen	L 1-4	48.4	1431	1391	47.49%	24.10%	28.42%	+0.42	-14.9	28
2017-04-09	@ Wil	W 4-1	48.4	1391	1431	28.42%	24.10%	47.49%	-0.42	+15.0	27
2017-04-10	Zurich	L 2-5	47.6	1394	1665	14.17%	18.42%	67.41%	-1.87	-4.3	30
2017-04-10	@ Le Mont	W 5-2	47.6	1665	1394	67.41%	18.42%	14.17%	+1.87	+4.3	65
2017-04-15	Le Mont	W 4-1	43.1	1403	1389	43.92%	24.49%	31.59%	+0.23	+10.9	29
2017-04-15	@ Winterthur	L 1-4	43.1	1389	1403	31.59%	24.49%	43.92%	-0.23	-10.9	30
2017-04-15	Servette	L 0-3	40.8	1416	1530	26.94%	23.84%	49.22%	-0.72	-11.3	28
2017-04-15	@ Wil	W 3-0	40.8	1530	1416	49.22%	23.84%	26.94%	+0.72	+11.3	51
2017-04-17	Aarau	W 3-2	58.9	1669	1476	65.80%	19.09%	15.11%	+1.55	+2.1	68
2017-04-17	@ Zurich	L 2-3	58.9	1476	1669	15.11%	19.09%	65.80%	-1.55	-2.1	36
2017-04-17	Chiasso	W 3-0	37.4	1562	1401	62.29%	20.43%	17.28%	+1.31	+7.4	59
2017-04-17	@ Neuchatel Xamax	L 0-3	37.4	1401	1562	17.28%	20.43%	62.29%	-1.31	-7.4	26
2017-04-17	Schaffhausen	L 0-1	46.2	1406	1455	35.14%	24.71%	40.15%	-0.23	-5.1	27
2017-04-17	@ Wohlen	W 1-0	46.2	1455	1406	40.15%	24.71%	35.14%	+0.23	+5.1	33
2017-04-22	Winterthur	L 2-3	66.1	1542	1414	58.59%	21.66%	19.75%	+1.07	-6.9	51
2017-04-22	@ Servette	W 3-2	66.1	1414	1542	19.75%	21.66%	58.59%	-1.07	+6.9	32
2017-04-22	Wohlen	L 0-3	45.7	1474	1401	51.80%	23.37%	24.83%	+0.66	-19.0	36
2017-04-22	@ Aarau	W 3-0	45.7	1401	1474	24.83%	23.37%	51.80%	-0.66	+19.1	30
2017-04-23	Schaffhausen	L 0-2	40.9	1378	1460	30.83%	24.41%	44.75%	-0.47	-8.7	30
2017-04-23	@ Le Mont	W 2-0	40.9	1460	1378	44.75%	24.41%	30.83%	+0.47	+8.7	36
2017-04-23	Wil	W 3-1	46.9	1394	1405	40.50%	24.69%	34.80%	+0.05	+8.3	29
2017-04-23	@ Chiasso	L 1-3	46.9	1405	1394	34.80%	24.69%	40.50%	-0.05	-8.3	28
2017-04-24	Zurich	D 1-1	70.4	1569	1671	28.37%	24.09%	47.54%	-0.62	+0.6	60
2017-04-24	@ Neuchatel Xamax	D 1-1	70.4	1671	1569	47.54%	24.09%	28.37%	+0.62	-0.6	69
2017-04-29	Aarau	W 3-2	58.2	1421	1455	37.20%	24.75%	38.05%	-0.12	+4.9	35
2017-04-29	@ Winterthur	L 2-3	58.2	1455	1421	38.05%	24.75%	37.20%	+0.12	-4.9	36
2017-04-29	Neuchatel Xamax	L 1-2	51.9	1420	1570	23.33%	22.96%	53.71%	-0.97	-3.4	30
2017-04-29	@ Wohlen	W 2-1	51.9	1570	1420	53.71%	22.96%	23.33%	+0.97	+3.4	63
2017-04-30	Wil	L 0-1	44.9	1370	1396	38.26%	24.75%	36.99%	-0.07	-5.5	30
2017-04-30	@ Le Mont	W 1-0	44.9	1396	1370	36.99%	24.75%	38.26%	+0.07	+5.5	31
2017-04-30	Zurich	L 1-2	50.9	1402	1670	14.32%	18.52%	67.16%	-1.85	-2.1	29
2017-04-30	@ Chiasso	W 2-1	50.9	1670	1402	67.16%	18.52%	14.32%	+1.85	+2.1	72
2017-05-01	Servette	W 2-1	58.7	1469	1535	32.77%	24.58%	42.64%	-0.36	+5.6	39
2017-05-01	@ Schaffhausen	L 1-2	58.7	1535	1469	42.64%	24.58%	32.77%	+0.36	-5.6	51
2017-05-04	Zurich	W 3-1	64.6	1450	1672	17.25%	20.42%	62.33%	-1.51	+13.2	39
2017-05-04	@ Aarau	L 1-3	64.6	1672	1450	62.33%	20.42%	17.25%	+1.51	-13.2	72
2017-05-06	Chiasso	D 2-2	67.2	1529	1400	58.74%	21.62%	19.65%	+1.08	-0.9	52
2017-05-06	@ Servette	D 2-2	67.2	1400	1529	19.65%	21.62%	58.74%	-1.08	+0.9	30
2017-05-06	Neuchatel Xamax	L 0-4	39.0	1402	1573	21.33%	22.30%	56.38%	-1.13	-11.9	31
2017-05-06	@ Wil	W 4-0	39.0	1573	1402	56.38%	22.30%	21.33%	+1.13	+11.9	66
2017-05-07	Aarau	W 4-0	41.5	1474	1463	43.62%	24.51%	31.87%	+0.21	+17.0	42
2017-05-07	@ Schaffhausen	L 0-4	41.5	1463	1474	31.87%	24.51%	43.62%	-0.21	-17.0	39
2017-05-07	Winterthur	W 2-1	50.9	1417	1425	40.80%	24.68%	34.52%	+0.06	+4.8	33
2017-05-07	@ Wohlen	L 1-2	50.9	1425	1417	34.52%	24.68%	40.80%	-0.06	-4.8	35
2017-05-08	Le Mont	W 5-1	39.3	1659	1364	75.45%	14.64%	9.91%	+2.30	+4.3	75
2017-05-08	@ Zurich	L 1-5	39.3	1364	1659	9.91%	14.64%	75.45%	-2.30	-4.3	30
2017-05-13	Wil	W 4-0	36.5	1446	1390	49.67%	23.76%	26.57%	+0.54	+14.6	42
2017-05-13	@ Aarau	L 0-4	36.5	1390	1446	26.57%	23.76%	49.67%	-0.54	-14.6	31
2017-05-13	Zurich	L 0-3	41.2	1421	1664	15.90%	19.61%	64.49%	-1.66	-6.7	35
2017-05-13	@ Winterthur	W 3-0	41.2	1664	1421	64.49%	19.61%	15.90%	+1.66	+6.7	78
2017-05-14	Servette	W 1-0	52.2	1585	1528	49.74%	23.75%	26.51%	+0.54	+4.1	69
2017-05-14	@ Neuchatel Xamax	L 0-1	52.2	1528	1585	26.51%	23.75%	49.74%	-0.54	-4.1	52
2017-05-14	Wohlen	L 1-2	49.1	1360	1421	33.41%	24.62%	41.97%	-0.32	-4.6	30
2017-05-14	@ Le Mont	W 2-1	49.1	1421	1360	41.97%	24.62%	33.41%	+0.32	+4.6	36
2017-05-15	Schaffhausen	L 0-6	40.5	1401	1491	29.75%	24.28%	45.97%	-0.54	-23.5	30
2017-05-15	@ Chiasso	W 6-0	40.5	1491	1401	45.97%	24.28%	29.75%	+0.54	+23.5	45
2017-05-17	Servette	D 1-1	70.4	1670	1524	60.65%	21.00%	18.35%	+1.20	-1.3	79
2017-05-17	@ Zurich	D 1-1	70.4	1524	1670	18.35%	21.00%	60.65%	-1.20	+1.3	53
2017-05-17	Winterthur	L 0-1	44.9	1375	1414	36.53%	24.74%	38.73%	-0.16	-5.3	31
2017-05-17	@ Wil	W 1-0	44.9	1414	1375	38.73%	24.74%	36.53%	+0.16	+5.3	38
2017-05-18	Aarau	W 1-0	48.7	1355	1460	28.01%	24.03%	47.96%	-0.65	+6.5	33
2017-05-18	@ Le Mont	L 0-1	48.7	1460	1355	47.96%	24.03%	28.01%	+0.65	-6.5	42
2017-05-18	Chiasso	L 0-1	48.6	1426	1377	48.70%	23.92%	27.38%	+0.49	-6.6	36
2017-05-18	@ Wohlen	W 1-0	48.6	1377	1426	27.38%	23.92%	48.70%	-0.49	+6.6	33
2017-05-18	Neuchatel Xamax	W 2-1	62.6	1515	1589	31.73%	24.50%	43.77%	-0.42	+5.7	48
2017-05-18	@ Schaffhausen	L 1-2	62.6	1589	1515	43.77%	24.50%	31.73%	+0.42	-5.7	69
2017-05-20	Wil	L 0-2	58.3	1669	1370	75.79%	14.46%	9.75%	+2.33	-17.7	79
2017-05-20	@ Zurich	W 2-0	58.3	1370	1669	9.75%	14.46%	75.79%	-2.33	+17.7	34
2017-05-21	Chiasso	L 2-3	60.7	1454	1384	51.47%	23.44%	25.09%	+0.64	-6.2	42
2017-05-21	@ Aarau	W 3-2	60.7	1384	1454	25.09%	23.44%	51.47%	-0.64	+6.2	36
2017-05-21	Schaffhausen	L 1-3	49.0	1419	1520	28.46%	24.10%	47.43%	-0.62	-7.1	38
2017-05-21	@ Winterthur	W 3-1	49.0	1520	1419	47.43%	24.10%	28.46%	+0.62	+7.0	51
2017-05-21	Wohlen	W 2-0	40.9	1526	1420	55.98%	22.40%	21.61%	+0.91	+6.4	56
2017-05-21	@ Servette	L 0-2	40.9	1420	1526	21.61%	22.40%	55.98%	-0.91	-6.3	36
2017-05-22	Le Mont	D 2-2	68.8	1583	1362	68.66%	17.88%	13.47%	+1.76	-1.3	70
2017-05-22	@ Neuchatel Xamax	D 2-2	68.8	1362	1583	13.47%	17.88%	68.66%	-1.76	+1.3	34
2017-05-27	Aarau	W 1-0	46.3	1532	1448	53.28%	23.06%	23.66%	+0.75	+3.7	59
2017-05-27	@ Servette	L 0-1	46.3	1448	1532	23.66%	23.06%	53.28%	-0.75	-3.7	42
2017-05-27	Le Mont	D 2-2	61.7	1390	1363	45.78%	24.31%	29.91%	+0.33	-0.3	37
2017-05-27	@ Chiasso	D 2-2	61.7	1363	1390	29.91%	24.31%	45.78%	-0.33	+0.3	35
2017-05-27	Wil	W 2-1	48.4	1413	1388	45.56%	24.33%	30.11%	+0.32	+4.3	39
2017-05-27	@ Wohlen	L 1-2	48.4	1388	1413	30.11%	24.33%	45.56%	-0.32	-4.3	34
2017-05-27	Winterthur	W 4-1	43.6	1582	1412	63.30%	20.06%	16.64%	+1.38	+6.0	73
2017-05-27	@ Neuchatel Xamax	L 1-4	43.6	1412	1582	16.64%	20.06%	63.30%	-1.38	-6.0	38
2017-05-27	Zurich	L 0-4	47.6	1527	1651	25.93%	23.63%	50.43%	-0.78	-14.3	51
2017-05-27	@ Schaffhausen	W 4-0	47.6	1651	1527	50.43%	23.63%	25.93%	+0.78	+14.3	82
2017-06-03	Chiasso	W 3-1	45.8	1406	1390	44.32%	24.45%	31.23%	+0.25	+7.6	41
2017-06-03	@ Winterthur	L 1-3	45.8	1390	1406	31.23%	24.45%	44.32%	-0.25	-7.6	37
2017-06-03	Neuchatel Xamax	W 2-0	53.8	1444	1588	23.88%	23.12%	53.00%	-0.93	+13.4	45
2017-06-03	@ Aarau	L 0-2	53.8	1588	1444	53.00%	23.12%	23.88%	+0.93	-13.4	73
2017-06-03	Schaffhausen	W 2-1	57.1	1383	1513	25.31%	23.49%	51.20%	-0.83	+6.5	37
2017-06-03	@ Wil	L 1-2	57.1	1513	1383	51.20%	23.49%	25.31%	+0.83	-6.5	51
2017-06-03	Servette	L 0-1	42.5	1364	1536	21.26%	22.27%	56.47%	-1.14	-3.3	35
2017-06-03	@ Le Mont	W 1-0	42.5	1536	1364	56.47%	22.27%	21.26%	+1.14	+3.3	62
2017-06-03	Wohlen	W 3-0	39.2	1666	1417	71.24%	16.70%	12.06%	+1.95	+4.9	85
2017-06-03	@ Zurich	L 0-3	39.2	1417	1666	12.06%	16.70%	71.24%	-1.95	-4.9	39

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	2017-05-20	9.75%	Wil	1370	2	@ Zurich	1669	0
2	2016-10-17	16.69%	Wohlen	1375	4	@ Neuchatel Xamax	1544	1
3	2017-05-04	17.25%	@ Aarau	1450	3	Zurich	1672	1
4	2017-03-04	18.35%	Schaffhausen	1417	2	@ Neuchatel Xamax	1563	0
5	2017-04-22	19.75%	Winterthur	1414	3	@ Servette	1542	2
6	2016-11-26	21.02%	Wohlen	1401	2	@ Wil	1514	1
7	2017-02-06	21.90%	@ Servette	1487	2	Zurich	1651	1
8	2016-09-24	22.36%	@ Le Mont	1383	1	Neuchatel Xamax	1543	0
9	2017-04-09	23.52%	Winterthur	1396	3	@ Aarau	1482	2
10	2017-06-03	23.88%	@ Aarau	1444	2	Neuchatel Xamax	1588	0
11	2016-08-07	23.97%	Le Mont	1390	2	@ Schaffhausen	1471	1
12	2016-09-25	24.41%	Wohlen	1381	1	@ Schaffhausen	1458	0
13	2017-04-22	24.83%	Wohlen	1401	3	@ Aarau	1474	0
14	2017-05-21	25.09%	Chiasso	1384	3	@ Aarau	1454	2
15	2017-06-03	25.31%	@ Wil	1383	2	Schaffhausen	1513	1
16	2017-05-18	27.38%	Chiasso	1377	1	@ Wohlen	1426	0
17	2017-05-18	28.01%	@ Le Mont	1355	1	Aarau	1460	0
18	2017-02-26	28.14%	@ Chiasso	1394	5	Aarau	1498	1
19	2016-10-22	28.18%	@ Chiasso	1399	3	Aarau	1503	1
20	2017-04-09	28.42%	Wohlen	1391	4	@ Wil	1431	1
21	2016-08-21	28.69%	Le Mont	1390	2	@ Chiasso	1428	1
22	2016-12-04	28.86%	Chiasso	1386	2	@ Schaffhausen	1422	1
23	2017-03-18	29.53%	Chiasso	1411	3	@ Wil	1441	1
24	2016-08-11	30.00%	Schaffhausen	1465	2	@ Servette	1491	0
25	2016-11-27	30.55%	Schaffhausen	1416	1	@ Winterthur	1438	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	2017-05-15	23.48	Schaffhausen	6	1491	45.97%	@ Chiasso	0	1401	29.75%	24.28%
2	2017-04-08	20.87	@ Schaffhausen	5	1434	43.70%	Chiasso	0	1422	31.79%	24.50%
3	2017-02-26	19.41	@ Chiasso	5	1394	28.14%	Aarau	1	1498	47.80%	24.05%
4	2017-04-22	19.05	Wohlen	3	1401	24.83%	@ Aarau	0	1474	51.80%	23.37%
5	2016-10-17	18.94	Wohlen	4	1375	16.69%	@ Neuchatel Xamax	1	1544	63.22%	20.09%
6	2016-12-11	18.22	@ Wohlen	4	1405	40.41%	Schaffhausen	0	1416	34.89%	24.70%
7	2017-05-20	17.69	Wil	2	1370	9.75%	@ Zurich	0	1669	75.79%	14.46%
8	2016-09-24	17.35	Wil	4	1482	42.64%	@ Chiasso	0	1416	32.77%	24.58%
9	2017-05-07	16.96	@ Schaffhausen	4	1474	43.62%	Aarau	0	1463	31.87%	24.51%
10	2017-03-01	16.86	@ Schaffhausen	3	1400	30.97%	Wil	0	1481	44.61%	24.43%
11	2016-07-24	15.55	Wohlen	3	1418	35.06%	@ Le Mont	0	1406	40.24%	24.70%
12	2017-03-06	15.48	Aarau	3	1478	35.28%	@ Wil	0	1464	40.01%	24.71%
13	2016-09-12	15.38	@ Winterthur	3	1445	35.60%	Wil	0	1490	39.68%	24.72%
14	2017-04-09	14.96	Wohlen	4	1391	28.42%	@ Wil	1	1431	47.49%	24.10%
15	2017-03-04	14.95	Schaffhausen	2	1417	18.35%	@ Neuchatel Xamax	0	1563	60.65%	21.00%
16	2017-05-13	14.57	@ Aarau	4	1446	49.67%	Wil	0	1390	26.57%	23.76%
17	2016-09-11	14.26	@ Servette	6	1473	51.17%	Wohlen	1	1405	25.33%	23.50%
18	2017-05-27	14.26	Zurich	4	1651	50.43%	@ Schaffhausen	0	1527	25.93%	23.63%
19	2016-11-20	13.99	Zurich	4	1622	51.12%	@ Servette	0	1493	25.37%	23.51%
20	2017-06-03	13.37	@ Aarau	2	1444	23.88%	Neuchatel Xamax	0	1588	53.00%	23.12%
21	2017-02-18	13.28	Zurich	4	1644	52.89%	@ Wil	0	1500	23.96%	23.14%
22	2017-05-04	13.23	@ Aarau	3	1450	17.25%	Zurich	1	1672	62.33%	20.42%
23	2016-10-02	12.84	Zurich	5	1592	60.21%	@ Wohlen	0	1388	18.64%	21.15%
24	2017-02-04	12.58	@ Chiasso	4	1393	37.17%	Winterthur	1	1427	38.09%	24.75%
25	2016-10-23	12.25	@ Wil	5	1509	49.33%	Winterthur	1	1456	26.85%	23.82%

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	2017-03-18	73.7	@ Zurich	2	1664	73.18%	Winterthur	2	1395	11.05%	15.77%
2	2017-04-24	70.4	@ Neuchatel Xamax	1	1569	28.37%	Zurich	1	1671	47.54%	24.09%
3	2017-05-17	70.4	@ Zurich	1	1670	60.65%	Servette	1	1524	18.35%	21.00%
4	2017-02-13	69.9	@ Zurich	1	1644	54.67%	Neuchatel Xamax	1	1549	22.60%	22.74%
5	2017-05-22	68.8	@ Neuchatel Xamax	2	1583	68.66%	Le Mont	2	1362	13.47%	17.88%
6	2017-05-06	67.2	@ Servette	2	1529	58.74%	Chiasso	2	1400	19.65%	21.62%
7	2016-09-25	66.9	@ Aarau	1	1514	31.20%	Zurich	1	1592	44.35%	24.45%
8	2017-02-06	66.6	@ Servette	2	1487	21.90%	Zurich	1	1651	55.59%	22.50%
9	2017-04-08	66.4	@ Servette	1	1530	37.59%	Neuchatel Xamax	1	1562	37.67%	24.75%
10	2017-04-22	66.1	Winterthur	3	1414	19.75%	@ Servette	2	1542	58.59%	21.66%
11	2016-09-22	65.9	@ Schaffhausen	2	1458	41.66%	Winterthur	2	1461	33.70%	24.64%
12	2017-02-05	65.4	@ Aarau	2	1489	54.10%	Schaffhausen	2	1398	23.03%	22.87%
13	2016-10-15	64.8	@ Zurich	1	1605	68.00%	Le Mont	1	1390	13.84%	18.16%
14	2016-12-10	64.7	@ Chiasso	2	1393	29.25%	Servette	2	1487	46.54%	24.22%
15	2017-05-04	64.6	@ Aarau	3	1450	17.25%	Zurich	1	1672	62.33%	20.42%
16	2016-07-30	64.2	@ Wil	1	1477	31.71%	Zurich	1	1551	43.80%	24.50%
17	2017-03-11	63.3	@ Schaffhausen	2	1432	46.99%	Le Mont	2	1396	28.85%	24.16%
18	2016-11-26	62.7	Neuchatel Xamax	3	1537	39.87%	@ Aarau	2	1490	35.42%	24.72%
19	2017-05-18	62.6	@ Schaffhausen	2	1515	31.73%	Neuchatel Xamax	1	1589	43.77%	24.50%
20	2017-04-09	62.4	Winterthur	3	1396	23.52%	@ Aarau	2	1482	53.46%	23.02%
21	2017-05-27	61.7	@ Chiasso	2	1390	45.78%	Le Mont	2	1363	29.91%	24.31%
22	2017-04-03	61.5	@ Chiasso	1	1421	27.48%	Servette	1	1531	48.58%	23.94%
23	2016-10-30	60.9	@ Aarau	1	1492	48.70%	Winterthur	1	1444	27.38%	23.92%
24	2016-07-24	60.7	@ Aarau	1	1495	50.60%	Chiasso	1	1432	25.80%	23.60%
25	2017-05-21	60.7	Chiasso	3	1384	25.09%	@ Aarau	2	1454	51.47%	23.44%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2017-05-13	36.5	@ Aarau	4	1446	49.67%	Wil	0	1390	26.57%	23.76%
2	2016-11-19	37.3	@ Neuchatel Xamax	3	1528	58.69%	Chiasso	0	1399	19.68%	21.63%
3	2017-04-17	37.4	@ Neuchatel Xamax	3	1562	62.29%	Chiasso	0	1401	17.28%	20.43%
4	2016-10-02	38.5	Zurich	5	1592	60.21%	@ Wohlen	0	1388	18.64%	21.15%
5	2016-12-11	38.9	@ Wohlen	4	1405	40.41%	Schaffhausen	0	1416	34.89%	24.70%
6	2016-09-21	39.0	@ Wil	2	1475	53.40%	Le Mont	0	1390	23.56%	23.03%
7	2017-05-06	39.0	Neuchatel Xamax	4	1573	56.38%	@ Wil	0	1402	21.33%	22.30%
8	2016-08-06	39.2	@ Zurich	4	1551	57.22%	Wohlen	0	1434	20.71%	22.06%
9	2017-06-03	39.2	@ Zurich	3	1666	71.24%	Wohlen	0	1417	12.06%	16.70%
10	2017-04-08	39.3	@ Schaffhausen	5	1434	43.70%	Chiasso	0	1422	31.79%	24.50%
11	2017-05-08	39.3	@ Zurich	5	1659	75.45%	Le Mont	1	1364	9.91%	14.64%
12	2016-09-24	40.5	Wil	4	1482	42.64%	@ Chiasso	0	1416	32.77%	24.58%
13	2017-05-15	40.5	Schaffhausen	6	1491	45.97%	@ Chiasso	0	1401	29.75%	24.28%
14	2016-09-11	40.6	@ Servette	6	1473	51.17%	Wohlen	1	1405	25.33%	23.50%
15	2017-04-15	40.8	Servette	3	1530	49.22%	@ Wil	0	1416	26.94%	23.84%
16	2017-04-23	40.9	Schaffhausen	2	1460	44.75%	@ Le Mont	0	1378	30.83%	24.41%
17	2017-05-21	40.9	@ Servette	2	1526	55.98%	Wohlen	0	1420	21.61%	22.40%
18	2016-07-24	41.2	Wohlen	3	1418	35.06%	@ Le Mont	0	1406	40.24%	24.70%
19	2017-05-13	41.2	Zurich	3	1664	64.49%	@ Winterthur	0	1421	15.90%	19.61%
20	2016-11-28	41.3	Zurich	2	1636	64.71%	@ Chiasso	0	1391	15.77%	19.52%
21	2016-08-10	41.5	Zurich	2	1562	55.69%	@ Le Mont	0	1397	21.83%	22.48%
22	2017-05-07	41.5	@ Schaffhausen	4	1474	43.62%	Aarau	0	1463	31.87%	24.51%
23	2017-02-19	41.8	Neuchatel Xamax	2	1550	53.70%	@ Chiasso	0	1401	23.33%	22.96%
24	2017-03-04	42.1	Servette	2	1510	48.28%	@ Wohlen	0	1403	27.73%	23.98%
25	2016-11-27	42.5	Servette	2	1479	43.75%	@ Le Mont	0	1405	31.75%	24.50%