2015-16 Super League Season

180 games

Final

Champion

Basel

83 points

Relegated

No relegation

Biggest Overachiever

Young Boys

10.53 points above expected

69 points · 58.47 expected points

Biggest Disappointment

Zurich

12.43 points below expected

34 points · 46.43 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	Basel	36	26	5	5	83	88	38	+50	72.83	+10.17
2	Young Boys	36	20	9	7	69	78	47	+31	58.47	+10.53
3	Luzern	36	15	9	12	54	59	50	+9	51.09	+2.91
4	Grasshopper	36	15	8	13	53	65	56	+9	54.10	-1.10
5	Sion	36	14	8	14	50	52	49	+3	47.65	+2.35
6	Thun	36	10	11	15	41	45	54	-9	47.32	-6.32
7	St. Gallen	36	10	8	18	38	41	66	-25	43.72	-5.72
8	Vaduz	36	7	15	14	36	44	60	-16	34.47	+1.53
9	Lugano	36	9	8	19	35	46	75	-29	37.92	-2.92
10	Zurich	36	7	13	16	34	48	71	-23	46.43	-12.43

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	Young Boys	69	58.47	+10.53
2	Basel	83	72.83	+10.17
3	Luzern	54	51.09	+2.91
4	Sion	50	47.65	+2.35
5	Vaduz	36	34.47	+1.53

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Zurich	34	46.43	-12.43
2	Thun	41	47.32	-6.32
3	St. Gallen	38	43.72	-5.72
4	Lugano	35	37.92	-2.92
5	Grasshopper	53	54.10	-1.10

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	Basel	8	Jul 19 – Sep 12	1 in 104
2	Luzern	4	May 8 – May 22	1 in 57
3	St. Gallen	3	Nov 1 – Nov 22	1 in 55
4	Young Boys	5	Feb 20 – Mar 19	1 in 34
5	Thun	3	Oct 18 – Oct 31	1 in 22

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Luzern	5	Feb 7 – Mar 6	1 in 131
2	Zurich	5	Apr 24 – May 16	1 in 74
3	St. Gallen	4	Mar 13 – Apr 10	1 in 26
4	Basel	2	Nov 8 – Nov 22	1 in 26
5	Grasshopper	2	Oct 25 – Oct 31	1 in 13

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Vaduz	4	Sep 27 – Oct 24	1 in 21
2	Grasshopper	8	Aug 2 – Sep 26	1 in 19
3	Basel	17	Nov 29 – May 10	1 in 18
4	Luzern	7	Apr 24 – May 25	1 in 14
5	Thun	5	Feb 28 – Apr 3	1 in 13

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Zurich	11	Aug 13 – Nov 7	1 in 128
2	Young Boys	5	Oct 17 – Nov 22	1 in 26
3	Luzern	5	Oct 3 – Nov 8	1 in 23
4	Grasshopper	5	Mar 20 – Apr 19	1 in 15
5	Vaduz	8	Oct 3 – Dec 6	1 in 9

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
Basel	1895	83	-34	7	10.1	-3.1
Young Boys	1829	69	+11	9	8.6	+0.4
Luzern	1773	54	+58	13	7.5	+5.5
Grasshopper	1717	53	-9	7	7.1	-0.1
Sion	1712	50	-7	6	6.9	-0.9
Thun	1672	41	-11	4	5.9	-1.9
St. Gallen	1606	38	-14	4	5.3	-1.3
Vaduz	1616	36	+7	7	5.9	+1.1
Lugano	1620	35	+34	7	5.3	+1.7
Zurich	1626	34	-36	4	6.1	-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	BAS	GRA	LUG	LUZ	SIO	SG	THU	VAD	YB	ZUR
Basel	—	2-0-2 7.36	4-0-0 8.95	3-0-1 7.50	4-0-0 7.95	3-0-1 8.37	2-2-0 8.22	3-1-0 9.01	3-0-1 6.82	2-2-0 8.21
Grasshopper	2-0-2 3.68	—	2-0-2 7.24	1-2-1 5.70	2-0-2 6.15	2-1-1 6.62	1-1-2 6.03	1-2-1 7.41	1-1-2 5.00	3-1-0 6.11
Lugano	0-0-4 2.31	2-0-2 3.75	—	0-2-2 3.97	1-0-3 4.38	2-1-1 4.97	1-0-3 4.53	1-2-1 5.88	1-1-2 3.28	1-2-1 4.61
Luzern	1-0-3 3.53	1-2-1 5.22	2-2-0 7.00	—	0-2-2 6.17	1-0-3 6.66	3-1-0 5.84	3-1-0 7.29	1-1-2 4.48	3-0-1 5.84
Sion	0-0-4 3.13	2-0-2 4.78	3-0-1 6.59	2-2-0 4.76	—	1-2-1 6.21	2-1-1 5.72	1-1-2 6.94	1-1-2 4.26	2-1-1 5.73
St. Gallen	1-0-3 2.77	1-1-2 4.33	1-1-2 5.95	3-0-1 4.27	1-2-1 4.71	—	2-1-1 5.09	0-1-3 6.53	0-1-3 3.96	1-1-2 5.23
Thun	0-2-2 2.91	2-1-1 4.90	3-0-1 6.40	0-1-3 5.08	1-1-2 5.20	1-1-2 5.84	—	1-3-0 6.64	0-0-4 4.08	2-2-0 5.25
Vaduz	0-1-3 2.25	1-2-1 3.60	1-2-1 5.05	0-1-3 3.72	2-1-1 4.02	3-1-0 4.41	0-3-1 4.32	—	0-2-2 3.17	0-2-2 4.53
Young Boys	1-0-3 4.14	2-1-1 5.92	2-1-1 7.78	2-1-1 6.45	2-1-1 6.70	3-1-0 7.05	4-0-0 6.87	2-2-0 7.90	—	2-2-0 6.72
Zurich	0-2-2 2.91	0-1-3 4.84	1-2-1 6.33	1-0-3 5.10	1-1-2 5.21	2-1-1 5.68	0-2-2 5.66	2-2-0 6.40	0-2-2 4.26	—

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	0.94	+9.9
Allowed	0.76	-12.3
Differential	0.97	+6.2

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	3.89%	6.94%	4.44%	4.17%	1.67%	1.11%	22.22%
1	6.94%	13.89%	6.39%	4.72%	0.83%	1.11%	33.89%
2	4.44%	6.39%	6.11%	3.06%	0.56%	0.83%	21.39%
3	4.17%	4.72%	3.06%	2.22%	0.28%	0.56%	15.00%
4	1.67%	0.83%	0.56%	0.28%	—	0.28%	3.61%
5+	1.11%	1.11%	0.83%	0.56%	0.28%	—	3.89%
Total	22.22%	33.89%	21.39%	15.00%	3.61%	3.89%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.57	1.57	+0.00
SD	1.35	1.35	2.01
CV	0.86	0.86	—
Max	7	7	+7
Min	0	0	-7

Games Played: 180

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	2.78%	—	—	2.78%	—	8.33%
1	5.56%	5.56%	2.78%	—	—	—	13.89%
2	11.11%	8.33%	5.56%	2.78%	—	—	27.78%
3	11.11%	13.89%	8.33%	—	2.78%	—	36.11%
4	2.78%	2.78%	2.78%	—	—	—	8.33%
5+	2.78%	2.78%	—	—	—	—	5.56%
Total	36.11%	36.11%	19.44%	2.78%	5.56%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.44	1.06	+1.39
SD	1.40	1.09	1.89
CV	0.57	1.04	—
Max	7	4	+7
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	2.78%	2.78%	2.78%	2.78%	—	13.89%
1	8.33%	13.89%	13.89%	2.78%	2.78%	—	41.67%
2	11.11%	—	—	5.56%	—	—	16.67%
3	2.78%	—	8.33%	5.56%	—	—	16.67%
4	—	—	2.78%	—	—	—	2.78%
5+	2.78%	2.78%	—	2.78%	—	—	8.33%
Total	27.78%	19.44%	27.78%	19.44%	5.56%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.81	1.56	+0.25
SD	1.49	1.25	1.98
CV	0.82	0.81	—
Max	6	4	+5
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	5.56%	2.78%	5.56%	—	5.56%	27.78%
1	8.33%	8.33%	8.33%	11.11%	2.78%	2.78%	41.67%
2	—	2.78%	2.78%	2.78%	—	2.78%	11.11%
3	5.56%	2.78%	—	2.78%	—	2.78%	13.89%
4	2.78%	2.78%	—	—	—	—	5.56%
5+	—	—	—	—	—	—	—
Total	25.00%	22.22%	13.89%	22.22%	2.78%	13.89%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.28	2.08	-0.81
SD	1.19	1.93	2.41
CV	0.93	0.93	—
Max	4	7	+4
Min	0	0	-7

Games Played: 36

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.64	1.39	+0.25
SD	1.38	1.18	1.87
CV	0.84	0.85	—
Max	5	5	+4
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	8.33%	8.33%	8.33%	—	—	25.00%
1	5.56%	13.89%	8.33%	2.78%	—	—	30.56%
2	8.33%	8.33%	8.33%	2.78%	—	—	27.78%
3	2.78%	8.33%	2.78%	—	—	—	13.89%
4	—	—	—	—	—	—	—
5+	2.78%	—	—	—	—	—	2.78%
Total	19.44%	38.89%	27.78%	13.89%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.44	1.36	+0.08
SD	1.27	0.96	1.89
CV	0.88	0.71	—
Max	6	3	+6
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	5.56%	8.33%	5.56%	2.78%	2.78%	25.00%
1	11.11%	11.11%	8.33%	8.33%	2.78%	—	41.67%
2	8.33%	5.56%	8.33%	2.78%	2.78%	—	27.78%
3	2.78%	—	—	2.78%	—	—	5.56%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	22.22%	22.22%	25.00%	19.44%	8.33%	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.14	1.83	-0.69
SD	0.87	1.54	1.97
CV	0.76	0.84	—
Max	3	7	+3
Min	0	0	-7

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	11.11%	8.33%	5.56%	—	—	33.33%
1	2.78%	13.89%	8.33%	5.56%	—	—	30.56%
2	—	16.67%	5.56%	—	—	—	22.22%
3	—	—	2.78%	2.78%	—	2.78%	8.33%
4	2.78%	—	—	—	—	—	2.78%
5+	—	2.78%	—	—	—	—	2.78%
Total	13.89%	44.44%	25.00%	13.89%	—	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.25	1.50	-0.25
SD	1.25	1.08	1.57
CV	1.00	0.72	—
Max	5	5	+4
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	5.56%	8.33%	2.78%	2.78%	—	27.78%
1	5.56%	22.22%	8.33%	2.78%	—	5.56%	44.44%
2	2.78%	2.78%	8.33%	—	—	—	13.89%
3	2.78%	2.78%	—	2.78%	—	—	8.33%
4	—	—	—	—	—	2.78%	2.78%
5+	—	—	2.78%	—	—	—	2.78%
Total	19.44%	33.33%	27.78%	8.33%	2.78%	8.33%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.22	1.67	-0.44
SD	1.20	1.41	1.70
CV	0.98	0.85	—
Max	5	5	+3
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	5.56%	2.78%	—	—	—	8.33%
1	5.56%	25.00%	2.78%	2.78%	—	—	36.11%
2	—	8.33%	—	5.56%	—	—	13.89%
3	5.56%	13.89%	8.33%	—	—	—	27.78%
4	2.78%	—	—	2.78%	—	—	5.56%
5+	2.78%	—	2.78%	—	2.78%	—	8.33%
Total	16.67%	52.78%	16.67%	11.11%	2.78%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.17	1.31	+0.86
SD	1.56	0.98	1.76
CV	0.72	0.75	—
Max	7	4	+7
Min	0	0	-2

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	11.11%	—	5.56%	5.56%	2.78%	33.33%
1	2.78%	11.11%	—	5.56%	—	2.78%	22.22%
2	2.78%	2.78%	13.89%	5.56%	2.78%	2.78%	30.56%
3	2.78%	2.78%	—	2.78%	—	—	8.33%
4	2.78%	—	—	—	—	—	2.78%
5+	—	—	—	2.78%	—	—	2.78%
Total	19.44%	27.78%	13.89%	22.22%	8.33%	8.33%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.33	1.97	-0.64
SD	1.26	1.56	2.02
CV	0.95	0.79	—
Max	5	5	+4
Min	0	0	-5

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
Basel	1895	83	72.83	+10.17	91.0%	54	59	67	71	80	86	94
Young Boys	1829	69	58.47	+10.53	89.0%	40	42	52	59	64	72	76
Luzern	1773	54	51.09	+2.91	70.0%	35	41	47	51	56	62	69
Grasshopper	1717	53	54.10	-1.10	51.0%	36	43	49	53	59	65	72
Sion	1712	50	47.65	+2.35	62.0%	20	36	43	48	52	57	69
Thun	1672	41	47.32	-6.32	20.0%	28	33	43	48	52	61	63
Zurich	1626	34	46.43	-12.43	6.0%	26	31	41	46	52	58	70
Lugano	1620	35	37.92	-2.92	40.0%	22	26	33	37	43	50	56
Vaduz	1616	36	34.47	+1.53	59.0%	18	23	29	34	39	48	54
St. Gallen	1606	38	43.72	-5.72	26.0%	27	30	38	44	49	53	62

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 15% * Slight Edge: 15% to 22.5% * Clear Edge: 22.5% to 26.5% * Strong Edge: 26.5% 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

+15.00%

No Edge

44.44%26.11%29.44%

Elo Value

Home Edge

147 Elo

0.007 goals per Elo point

052.51400

Scoring Tilt

Expected

+0.42 goals

Neutral

-2+0.36+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 0.05 * Tight Race: 0.05 to 0.15 * Comfortable: 0.15 to 0.27 * Runaway: 0.27 and up.

Title-Race Openness

1.3

One-Team Race

123410

Champion Preseason Odds

88%

Basel, 1st of 10

LongshotFavorite

Title Margin

Expected

0.39/gm

Runaway

00.330.6/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 6.08 * Some Luck: 6.08 to 9.11 * Lucky: 9.11 to 12.15 * Wild Swing: 12.15 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 2.27 * Way Off: 2.27 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

6.84 points

Some Luck

07.5919

Average Finish Error

Expected

0.80

Pinpoint

01.423

Biggest Overachiever

Expected 95.00%

91.00%

Basel

50100

Biggest Underachiever

Expected 5.00%

6.00%

Zurich

050

Season Outliers

Expected

0 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 0.15 * Even: 0.15 to 0.16 * Top-Heavy: 0.16 to 0.19 * Lopsided: 0.19 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 63% * Slight Edge: 63% to 71% * Clear Edge: 71% to 76% * Wide Edge: 76% 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 86.5% * Clear Edge: 86.5% to 91.5% * Strong Edge: 91.5% to 94.5% * Dominant: 94.5% 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 51% * Some Drama: 51% to 55.5% * Frequent: 55.5% to 59.5% * Very Frequent: 59.5% 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 18% * Occasional: 18% to 22% * Frequent: 22% to 27% * Very Frequent: 27% and up.

Gini Index

0.17

Top-Heavy

00.150.5

Noll-Scully

Elo SD: 99.36

2.07

Wide Separation

11.651.852.052.75

Interquartile Edge

69%

Slight Edge

50%63%71%76%100%

Best vs. Worst

Baseline

84%

Even

50%87%100%

Close Games

Expected

60%

Very Frequent

0%54%100%

Blowouts

Expected

19%

Occasional

0%21%100%

Predictability

How these are measured

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

Brier Score: How close the pregame probabilities landed to the actual result, averaged over the season. Confident, correct calls are rewarded most; confident misses are punished most. Lower is better; since draws are possible, a score under 0.66 beats guessing the base rate.
Highly Predictable: under 0.56 * Predictable: 0.56 to 0.62 * Hard to Predict: 0.62 to 0.66 * Coin-Flip: 0.66 and up.
Matchup Imbalance: How lopsided the matchups were on paper, averaging the gap between the two win probabilities over their sum. 0 means every match was a toss-up; 1 means every match was a heavy favorite against a big underdog.
Very Even: under 0.37 * Slight Separation: 0.37 to 0.44 * Notable Separation: 0.44 to 0.47 * Lopsided: 0.47 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 0.42 * Some Carryover: 0.42 to 0.63 * Strong Carryover: 0.63 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% * As Expected: 21% to 23.5% * Upset-Prone: 23.5% to 26% * Very Upset-Prone: 26% 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 17.5% * As Expected: 17.5% to 20% * Shaky Favorites: 20% to 22.5% * Very Shaky: 22.5% and up.

Brier Score

Expected

0.61

Predictable

00.612

Matchup Imbalance

0.32

Very Even

00.370.5

Strangeness

Expected

0.70

Very Predictable

01.002

Repeatability

0.72

Strong Carryover

00.420.631

Upset Rate

Expected

24%

Upset-Prone

0%25%50%

Clear Favorite Upset Rate

Expected

19%

As Expected

0%21%50%

Calibration

How these are measured

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

Probability calibration: An all-in-one chi-square test of the model's probabilities. Matches are grouped by how confident the model was, and within each group the predicted and actual counts of home wins, draws, and away wins are compared. The p-value is plotted; above 0.05 means well-calibrated.
Miscalibrated: under 0.05 * Borderline: 0.05 to 0.1 * Well Calibrated: 0.1 to 0.5 * Excellent: 0.5 and up.
Calibration slope: Checks whether the spread of the probabilities is right. Each probability is turned into log-odds and a line is fit predicting the actual results. A slope of 1.00 is perfect; below 1 is overconfidence (favorites lost more than their odds implied); above 1 is under-confidence.
Overconfident: under 0.85 * Calibrated: 0.85 to 1.15 * Underconfident: 1.15 to 1.3 * Very Underconfident: 1.3 and up.
Calibration error (ECE): The average gap between the model's stated chances and how often the predicted result actually happened. Smaller is better. The gold line is the noise ceiling, the error luck alone can produce even with perfect probabilities; below it, the model's error is no larger than chance.
Well Within Noise: under 0.13 * Near Noise Ceiling: 0.13 to 0.19 * Above Noise: 0.19 to 0.26 * Well Above Noise: 0.26 and up.

Probability calibration

0.98

Excellent

0.010.050.10.51

Calibration slope

Ideal

1.19

Underconfident

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.056

Well Within Noise

00.1290.3

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
Basel	88.00%	9.00%	2.00%	1.00%	—	—	—	—	—	—
Young Boys	9.00%	46.00%	17.00%	8.00%	5.00%	5.00%	4.00%	5.00%	1.00%	—
Luzern	—	9.00%	16.00%	23.00%	17.00%	13.00%	9.00%	10.00%	3.00%	—
Grasshopper	3.00%	17.00%	27.00%	15.00%	16.00%	12.00%	7.00%	2.00%	1.00%	—
Sion	—	4.00%	10.00%	18.00%	15.00%	17.00%	18.00%	9.00%	3.00%	6.00%
Thun	—	7.00%	14.00%	10.00%	14.00%	18.00%	13.00%	12.00%	6.00%	6.00%
St. Gallen	—	2.00%	3.00%	13.00%	9.00%	15.00%	12.00%	19.00%	17.00%	10.00%
Vaduz	—	—	1.00%	2.00%	1.00%	5.00%	11.00%	10.00%	26.00%	44.00%
Lugano	—	—	2.00%	1.00%	8.00%	4.00%	10.00%	13.00%	33.00%	29.00%
Zurich	—	6.00%	8.00%	9.00%	15.00%	11.00%	16.00%	20.00%	10.00%	5.00%

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	Direct relegation
Basel	100%	—
Grasshopper	100%	—
Luzern	100%	—
Young Boys	100%	—
Zurich	95.00%	5.00%
Sion	94.00%	6.00%
Thun	94.00%	6.00%
St. Gallen	90.00%	10.00%
Lugano	71.00%	29.00%
Vaduz	56.00%	44.00%

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
2015-07-18	Sion	D 2-2	75.9	1727	1692	48.60%	26.37%	25.02%	+0.60	-0.6	1
2015-07-18	@ Luzern	D 2-2	75.9	1692	1727	25.02%	26.37%	48.60%	-0.60	+0.6	1
2015-07-18	Young Boys	D 1-1	70.4	1720	1748	39.90%	27.59%	32.51%	+0.16	-0.2	1
2015-07-18	@ Zurich	D 1-1	70.4	1748	1720	32.51%	27.59%	39.90%	-0.16	+0.2	1
2015-07-19	Grasshopper	L 3-5	71.2	1706	1712	43.12%	27.29%	29.59%	+0.32	-9.3	0
2015-07-19	@ Thun	W 5-3	71.2	1712	1706	29.59%	27.29%	43.12%	-0.32	+9.3	3
2015-07-19	Lugano	W 2-0	53.6	1679	1659	46.63%	26.77%	26.60%	+0.50	+8.8	3
2015-07-19	@ St. Gallen	L 0-2	53.6	1659	1679	26.60%	26.77%	46.63%	-0.50	-8.8	0
2015-07-19	Vaduz	W 2-0	48.0	1808	1613	67.52%	19.28%	13.20%	+1.69	+4.3	3
2015-07-19	@ Basel	L 0-2	48.0	1613	1808	13.20%	19.28%	67.52%	-1.69	-4.3	0
2015-07-25	Basel	L 2-3	69.5	1721	1812	31.21%	27.48%	41.31%	-0.26	-4.7	3
2015-07-25	@ Grasshopper	W 3-2	69.5	1812	1721	41.31%	27.48%	31.21%	+0.26	+4.7	6
2015-07-25	Luzern	D 1-1	70.7	1749	1727	46.90%	26.72%	26.39%	+0.51	-0.7	2
2015-07-25	@ Young Boys	D 1-1	70.7	1727	1749	26.39%	26.72%	46.90%	-0.51	+0.7	2
2015-07-26	St. Gallen	W 1-0	57.7	1693	1688	44.57%	27.10%	28.33%	+0.39	+4.9	4
2015-07-26	@ Sion	L 0-1	57.7	1688	1693	28.33%	27.10%	44.57%	-0.39	-4.9	3
2015-07-26	Thun	L 2-3	70.4	1650	1697	37.29%	27.69%	35.01%	+0.04	-5.4	0
2015-07-26	@ Lugano	W 3-2	70.4	1697	1650	35.01%	27.69%	37.29%	-0.04	+5.4	3
2015-07-26	Zurich	D 2-2	74.9	1609	1720	28.73%	27.17%	44.10%	-0.40	+0.4	1
2015-07-26	@ Vaduz	D 2-2	74.9	1720	1609	44.10%	27.17%	28.73%	+0.40	-0.4	2
2015-08-01	Sion	W 3-0	48.8	1817	1698	59.11%	23.11%	17.78%	+1.17	+8.7	9
2015-08-01	@ Basel	L 0-3	48.8	1698	1817	17.78%	23.11%	59.11%	-1.17	-8.7	4
2015-08-01	Young Boys	D 1-1	70.2	1683	1748	34.69%	27.69%	37.62%	-0.09	+0.1	4
2015-08-01	@ St. Gallen	D 1-1	70.2	1748	1683	37.62%	27.69%	34.69%	+0.09	-0.1	3
2015-08-02	Grasshopper	L 2-3	73.0	1719	1716	44.29%	27.14%	28.57%	+0.38	-6.2	2
2015-08-02	@ Zurich	W 3-2	73.0	1716	1719	28.57%	27.14%	44.29%	-0.38	+6.2	6
2015-08-02	Luzern	L 0-1	61.8	1702	1727	40.43%	27.55%	32.02%	+0.19	-6.4	3
2015-08-02	@ Thun	W 1-0	61.8	1727	1702	32.02%	27.55%	40.43%	-0.19	+6.4	5
2015-08-02	Vaduz	W 1-0	55.0	1645	1609	48.72%	26.35%	24.93%	+0.60	+4.4	3
2015-08-02	@ Lugano	L 0-1	55.0	1609	1645	24.93%	26.35%	48.72%	-0.60	-4.4	1
2015-08-08	Basel	L 1-3	61.7	1734	1826	31.09%	27.47%	41.44%	-0.27	-8.6	5
2015-08-08	@ Luzern	W 3-1	61.7	1826	1734	41.44%	27.47%	31.09%	+0.27	+8.6	12
2015-08-08	Lugano	W 6-1	52.8	1723	1649	53.56%	25.07%	21.37%	+0.86	+13.9	9
2015-08-08	@ Grasshopper	L 1-6	52.8	1649	1723	21.37%	25.07%	53.56%	-0.86	-14.0	3
2015-08-09	Sion	D 1-1	69.0	1605	1689	32.06%	27.55%	40.38%	-0.22	+0.3	2
2015-08-09	@ Vaduz	D 1-1	69.0	1689	1605	40.38%	27.55%	32.06%	+0.22	-0.3	5
2015-08-09	Thun	W 3-1	58.5	1748	1696	50.82%	25.85%	23.33%	+0.71	+6.8	6
2015-08-09	@ Young Boys	L 1-3	58.5	1696	1748	23.33%	25.85%	50.82%	-0.71	-6.8	3
2015-08-09	Zurich	L 0-2	58.3	1683	1713	39.68%	27.60%	32.72%	+0.15	-11.9	4
2015-08-09	@ St. Gallen	W 2-0	58.3	1713	1683	32.72%	27.60%	39.68%	-0.15	+11.9	5
2015-08-12	Lugano	L 0-1	65.8	1755	1635	59.14%	23.10%	17.76%	+1.17	-8.7	6
2015-08-12	@ Young Boys	W 1-0	65.8	1635	1755	17.76%	23.10%	59.14%	-1.17	+8.7	6
2015-08-12	St. Gallen	L 0-1	64.3	1725	1671	51.08%	25.78%	23.14%	+0.73	-7.7	5
2015-08-12	@ Luzern	W 1-0	64.3	1671	1725	23.14%	25.78%	51.08%	-0.73	+7.7	7
2015-08-12	Thun	W 3-1	55.4	1834	1689	62.08%	21.86%	16.06%	+1.35	+4.6	15
2015-08-12	@ Basel	L 1-3	55.4	1689	1834	16.06%	21.86%	62.08%	-1.35	-4.6	3
2015-08-13	Grasshopper	D 3-3	79.5	1605	1737	26.38%	26.72%	46.90%	-0.54	+0.4	3
2015-08-13	@ Vaduz	D 3-3	79.5	1737	1605	46.90%	26.72%	26.38%	+0.54	-0.4	10
2015-08-13	Zurich	W 3-1	62.0	1689	1725	38.79%	27.65%	33.56%	+0.11	+9.1	8
2015-08-13	@ Sion	L 1-3	62.0	1725	1689	33.56%	27.65%	38.79%	-0.11	-9.1	5
2015-08-22	Basel	L 1-3	57.4	1644	1839	20.35%	24.60%	55.05%	-0.97	-6.0	6
2015-08-22	@ Lugano	W 3-1	57.4	1839	1644	55.05%	24.60%	20.35%	+0.97	+6.0	18
2015-08-22	Luzern	L 2-5	65.8	1716	1717	43.70%	27.22%	29.08%	+0.35	-13.6	5
2015-08-22	@ Zurich	W 5-2	65.8	1717	1716	29.08%	27.22%	43.70%	-0.35	+13.6	8
2015-08-23	Grasshopper	L 0-2	57.2	1679	1736	35.78%	27.70%	36.51%	-0.03	-11.1	7
2015-08-23	@ St. Gallen	W 2-0	57.2	1736	1679	36.51%	27.70%	35.78%	+0.03	+11.1	13
2015-08-23	Vaduz	W 1-0	53.9	1685	1605	54.30%	24.84%	20.86%	+0.90	+3.7	6
2015-08-23	@ Thun	L 0-1	53.9	1605	1685	20.86%	24.84%	54.30%	-0.90	-3.7	3
2015-08-23	Young Boys	L 1-3	63.2	1698	1746	37.10%	27.70%	35.20%	+0.03	-9.8	8
2015-08-23	@ Sion	W 3-1	63.2	1746	1698	35.20%	27.70%	37.10%	-0.03	+9.8	9
2015-08-29	Luzern	L 0-1	58.5	1638	1731	30.95%	27.46%	41.59%	-0.28	-5.3	6
2015-08-29	@ Lugano	W 1-0	58.5	1731	1638	41.59%	27.46%	30.95%	+0.28	+5.3	11
2015-08-29	St. Gallen	W 1-0	59.5	1602	1668	34.52%	27.68%	37.79%	-0.09	+6.1	6
2015-08-29	@ Vaduz	L 0-1	59.5	1668	1602	37.79%	27.68%	34.52%	+0.09	-6.1	7
2015-08-30	Sion	L 0-2	59.3	1688	1688	43.93%	27.19%	28.88%	+0.36	-12.9	6
2015-08-30	@ Thun	W 2-0	59.3	1688	1688	28.88%	27.19%	43.93%	-0.36	+12.9	11
2015-08-30	Young Boys	W 3-2	69.0	1747	1756	42.69%	27.34%	29.97%	+0.30	+4.6	16
2015-08-30	@ Grasshopper	L 2-3	69.0	1756	1747	29.97%	27.34%	42.69%	-0.30	-4.6	9
2015-08-30	Zurich	W 3-1	55.6	1845	1702	61.80%	21.99%	16.22%	+1.33	+4.7	21
2015-08-30	@ Basel	L 1-3	55.6	1702	1845	16.22%	21.99%	61.80%	-1.33	-4.7	5
2015-09-12	St. Gallen	W 2-1	56.7	1850	1662	66.77%	19.65%	13.58%	+1.64	+2.2	24
2015-09-12	@ Basel	L 1-2	56.7	1662	1850	13.58%	19.65%	66.77%	-1.64	-2.2	7
2015-09-12	Vaduz	W 4-0	46.6	1751	1608	61.93%	21.93%	16.14%	+1.34	+10.2	12
2015-09-12	@ Young Boys	L 0-4	46.6	1608	1751	16.14%	21.93%	61.93%	-1.34	-10.2	6
2015-09-13	Grasshopper	D 3-3	80.2	1736	1752	41.73%	27.44%	30.83%	+0.25	-0.2	12
2015-09-13	@ Luzern	D 3-3	80.2	1752	1736	30.83%	27.44%	41.73%	-0.25	+0.2	17
2015-09-13	Lugano	W 3-0	49.6	1701	1633	52.91%	25.27%	21.82%	+0.82	+10.7	14
2015-09-13	@ Sion	L 0-3	49.6	1633	1701	21.82%	25.27%	52.91%	-0.82	-10.7	6
2015-09-13	Thun	D 3-3	79.8	1698	1675	46.92%	26.71%	26.37%	+0.51	-0.4	6
2015-09-13	@ Zurich	D 3-3	79.8	1675	1698	26.37%	26.71%	46.92%	-0.51	+0.4	7
2015-09-22	Thun	W 1-0	58.2	1660	1676	41.61%	27.45%	30.93%	+0.25	+5.2	10
2015-09-22	@ St. Gallen	L 0-1	58.2	1676	1660	30.93%	27.45%	41.61%	-0.25	-5.3	7
2015-09-22	Zurich	D 0-0	65.3	1622	1697	33.29%	27.63%	39.08%	-0.16	+0.2	7
2015-09-22	@ Lugano	D 0-0	65.3	1697	1622	39.08%	27.63%	33.29%	+0.16	-0.2	7
2015-09-23	Basel	W 4-3	75.8	1762	1852	31.31%	27.49%	41.20%	-0.26	+5.7	15
2015-09-23	@ Young Boys	L 3-4	75.8	1852	1762	41.20%	27.49%	31.31%	+0.26	-5.7	24
2015-09-23	Luzern	L 1-2	61.3	1597	1736	25.64%	26.54%	47.82%	-0.59	-4.2	6
2015-09-23	@ Vaduz	W 2-1	61.3	1736	1597	47.82%	26.54%	25.64%	+0.59	+4.2	15
2015-09-23	Sion	W 2-0	53.6	1752	1712	49.32%	26.21%	24.47%	+0.63	+8.2	20
2015-09-23	@ Grasshopper	L 0-2	53.6	1712	1752	24.47%	26.21%	49.32%	-0.63	-8.2	14
2015-09-26	Lugano	W 3-1	52.7	1846	1622	70.46%	17.75%	11.79%	+1.88	+3.2	27
2015-09-26	@ Basel	L 1-3	52.7	1622	1846	11.79%	17.75%	70.46%	-1.88	-3.2	7
2015-09-26	St. Gallen	D 1-1	71.2	1760	1665	56.28%	24.18%	19.55%	+1.01	-1.2	21
2015-09-26	@ Grasshopper	D 1-1	71.2	1665	1760	19.55%	24.18%	56.28%	-1.01	+1.2	11
2015-09-27	Vaduz	L 0-1	64.7	1704	1593	58.06%	23.52%	18.42%	+1.11	-8.5	14
2015-09-27	@ Sion	W 1-0	64.7	1593	1704	18.42%	23.52%	58.06%	-1.11	+8.5	9
2015-09-27	Young Boys	L 0-1	58.8	1671	1767	30.50%	27.41%	42.09%	-0.30	-5.2	7
2015-09-27	@ Thun	W 1-0	58.8	1767	1671	42.09%	27.41%	30.50%	+0.30	+5.2	18
2015-09-27	Zurich	W 1-0	56.6	1740	1697	49.69%	26.13%	24.18%	+0.65	+4.3	18
2015-09-27	@ Luzern	L 0-1	56.6	1697	1740	24.18%	26.13%	49.69%	-0.65	-4.3	7
2015-10-03	Lugano	D 2-2	76.6	1745	1619	59.86%	22.81%	17.34%	+1.21	-1.1	19
2015-10-03	@ Luzern	D 2-2	76.6	1619	1745	17.34%	22.81%	59.86%	-1.21	+1.1	8
2015-10-03	Thun	D 1-1	68.6	1602	1665	34.88%	27.69%	37.43%	-0.08	+0.1	10
2015-10-03	@ Vaduz	D 1-1	68.6	1665	1602	37.43%	27.69%	34.88%	+0.08	-0.1	8
2015-10-04	Basel	D 2-2	76.5	1693	1849	23.81%	26.01%	50.18%	-0.71	+0.7	8
2015-10-04	@ Zurich	D 2-2	76.5	1849	1693	50.18%	26.01%	23.81%	+0.71	-0.6	28
2015-10-04	Grasshopper	W 3-1	60.4	1772	1759	45.73%	26.92%	27.34%	+0.45	+7.8	21
2015-10-04	@ Young Boys	L 1-3	60.4	1759	1772	27.34%	26.92%	45.73%	-0.45	-7.8	21
2015-10-04	Sion	D 1-1	69.7	1666	1695	39.84%	27.59%	32.57%	+0.16	-0.2	12
2015-10-04	@ St. Gallen	D 1-1	69.7	1695	1666	32.57%	27.59%	39.84%	-0.16	+0.2	15
2015-10-17	Luzern	W 1-0	58.2	1751	1744	44.95%	27.05%	28.01%	+0.41	+4.8	24
2015-10-17	@ Grasshopper	L 0-1	58.2	1744	1751	28.01%	27.05%	44.95%	-0.41	-4.9	19
2015-10-17	Young Boys	D 1-1	70.6	1602	1780	21.77%	25.25%	52.98%	-0.86	+1.0	11
2015-10-17	@ Vaduz	D 1-1	70.6	1780	1602	52.98%	25.25%	21.77%	+0.86	-1.0	22
2015-10-18	Basel	L 0-2	53.8	1695	1849	24.11%	26.10%	49.78%	-0.69	-8.1	15
2015-10-18	@ Sion	W 2-0	53.8	1849	1695	49.78%	26.10%	24.11%	+0.69	+8.1	31
2015-10-18	St. Gallen	W 3-1	61.1	1620	1666	37.46%	27.69%	34.85%	+0.05	+9.4	11
2015-10-18	@ Lugano	L 1-3	61.1	1666	1620	34.85%	27.69%	37.46%	-0.05	-9.4	12
2015-10-18	Zurich	W 5-1	57.4	1665	1693	39.96%	27.58%	32.46%	+0.17	+16.3	11
2015-10-18	@ Thun	L 1-5	57.4	1693	1665	32.46%	27.58%	39.96%	-0.17	-16.3	8
2015-10-24	St. Gallen	D 2-2	75.1	1677	1656	46.72%	26.75%	26.53%	+0.50	-0.5	9
2015-10-24	@ Zurich	D 2-2	75.1	1656	1677	26.53%	26.75%	46.72%	-0.50	+0.5	13
2015-10-24	Vaduz	D 1-1	71.1	1739	1603	61.04%	22.32%	16.65%	+1.28	-1.5	20
2015-10-24	@ Luzern	D 1-1	71.1	1603	1739	16.65%	22.32%	61.04%	-1.28	+1.5	12
2015-10-25	Grasshopper	W 3-2	71.3	1687	1756	34.16%	27.67%	38.17%	-0.11	+5.5	18
2015-10-25	@ Sion	L 2-3	71.3	1756	1687	38.17%	27.67%	34.16%	+0.11	-5.5	24
2015-10-25	Lugano	W 2-1	60.1	1682	1629	50.85%	25.84%	23.31%	+0.71	+3.9	14
2015-10-25	@ Thun	L 1-2	60.1	1629	1682	23.31%	25.84%	50.85%	-0.71	-3.9	11
2015-10-25	Young Boys	W 1-0	55.8	1857	1779	54.08%	24.91%	21.01%	+0.89	+3.8	34
2015-10-25	@ Basel	L 0-1	55.8	1779	1857	21.01%	24.91%	54.08%	-0.89	-3.8	22
2015-10-31	Basel	L 1-2	57.9	1604	1861	15.96%	21.78%	62.26%	-1.39	-2.7	12
2015-10-31	@ Vaduz	W 2-1	57.9	1861	1604	62.26%	21.78%	15.96%	+1.39	+2.7	37
2015-10-31	Thun	L 1-2	69.8	1751	1686	52.50%	25.39%	22.11%	+0.80	-7.4	24
2015-10-31	@ Grasshopper	W 2-1	69.8	1686	1751	22.11%	25.39%	52.50%	-0.80	+7.4	17
2015-11-01	Luzern	W 1-0	61.4	1657	1737	32.62%	27.59%	39.79%	-0.19	+6.3	16
2015-11-01	@ St. Gallen	L 0-1	61.4	1737	1657	39.79%	27.59%	32.62%	+0.19	-6.3	20
2015-11-01	Sion	W 3-0	55.0	1626	1693	34.41%	27.68%	37.91%	-0.10	+16.8	14
2015-11-01	@ Lugano	L 0-3	55.0	1693	1626	37.91%	27.68%	34.41%	+0.10	-16.8	18
2015-11-01	Zurich	D 1-1	71.4	1775	1677	56.67%	24.04%	19.29%	+1.03	-1.3	23
2015-11-01	@ Young Boys	D 1-1	71.4	1677	1775	19.29%	24.04%	56.67%	-1.03	+1.3	10
2015-11-07	Vaduz	D 1-1	69.6	1678	1602	53.92%	24.96%	21.12%	+0.88	-1.1	11
2015-11-07	@ Zurich	D 1-1	69.6	1602	1678	21.12%	24.96%	53.92%	-0.88	+1.1	13
2015-11-07	Young Boys	D 1-1	70.4	1642	1774	26.37%	26.71%	46.92%	-0.54	+0.7	15
2015-11-07	@ Lugano	D 1-1	70.4	1774	1642	46.92%	26.71%	26.37%	+0.54	-0.7	24
2015-11-08	Grasshopper	L 2-3	76.7	1863	1743	59.21%	23.07%	17.72%	+1.18	-7.7	37
2015-11-08	@ Basel	W 3-2	76.7	1743	1863	17.72%	23.07%	59.21%	-1.18	+7.8	27
2015-11-08	Luzern	W 2-0	57.3	1676	1731	36.14%	27.70%	36.16%	-0.02	+11.1	21
2015-11-08	@ Sion	L 0-2	57.3	1731	1676	36.16%	27.70%	36.14%	+0.02	-11.1	20
2015-11-08	St. Gallen	L 0-2	60.1	1693	1663	47.92%	26.52%	25.56%	+0.56	-13.8	17
2015-11-08	@ Thun	W 2-0	60.1	1663	1693	25.56%	26.52%	47.92%	-0.56	+13.8	19
2015-11-21	Thun	W 1-0	56.4	1720	1679	49.34%	26.21%	24.45%	+0.63	+4.3	23
2015-11-21	@ Luzern	L 0-1	56.4	1679	1720	24.45%	26.21%	49.34%	-0.63	-4.3	17
2015-11-21	Vaduz	W 2-0	49.0	1751	1603	62.43%	21.71%	15.87%	+1.37	+5.3	30
2015-11-21	@ Grasshopper	L 0-2	49.0	1603	1751	15.87%	21.71%	62.43%	-1.37	-5.3	13
2015-11-22	Basel	W 2-1	70.2	1677	1855	21.77%	25.25%	52.98%	-0.86	+7.5	22
2015-11-22	@ St. Gallen	L 1-2	70.2	1855	1677	52.98%	25.25%	21.77%	+0.86	-7.5	37
2015-11-22	Lugano	W 5-3	64.7	1677	1643	48.47%	26.40%	25.13%	+0.59	+6.1	14
2015-11-22	@ Zurich	L 3-5	64.7	1643	1677	25.13%	26.40%	48.47%	-0.59	-6.1	15
2015-11-22	Sion	D 1-1	71.3	1774	1687	55.17%	24.56%	20.27%	+0.95	-1.2	25
2015-11-22	@ Young Boys	D 1-1	71.3	1687	1774	20.27%	24.56%	55.17%	-0.95	+1.2	22
2015-11-28	Lugano	D 1-1	68.0	1597	1637	38.36%	27.66%	33.98%	+0.09	-0.1	14
2015-11-28	@ Vaduz	D 1-1	68.0	1637	1597	33.98%	27.66%	38.36%	-0.09	+0.1	16
2015-11-28	St. Gallen	W 2-1	59.9	1772	1684	55.34%	24.50%	20.16%	+0.96	+3.4	28
2015-11-28	@ Young Boys	L 1-2	59.9	1684	1772	20.16%	24.50%	55.34%	-0.96	-3.4	22
2015-11-29	Luzern	W 3-0	48.8	1848	1724	59.67%	22.89%	17.45%	+1.20	+8.5	40
2015-11-29	@ Basel	L 0-3	48.8	1724	1848	17.45%	22.89%	59.67%	-1.20	-8.5	23
2015-11-29	Thun	L 1-2	67.7	1688	1675	45.72%	26.92%	27.35%	+0.45	-6.7	22
2015-11-29	@ Sion	W 2-1	67.7	1675	1688	27.35%	26.92%	45.72%	-0.45	+6.7	20
2015-11-29	Zurich	W 5-0	50.1	1756	1683	53.53%	25.08%	21.39%	+0.86	+16.9	33
2015-11-29	@ Grasshopper	L 0-5	50.1	1683	1756	21.39%	25.08%	53.53%	-0.86	-16.9	14
2015-12-05	Sion	W 1-0	58.3	1666	1682	41.74%	27.44%	30.82%	+0.25	+5.2	17
2015-12-05	@ Zurich	L 0-1	58.3	1682	1666	30.82%	27.44%	41.74%	-0.25	-5.2	22
2015-12-05	Young Boys	W 3-1	63.4	1715	1776	35.37%	27.70%	36.93%	-0.05	+9.8	26
2015-12-05	@ Luzern	L 1-3	63.4	1776	1715	36.93%	27.70%	35.37%	+0.05	-9.8	28
2015-12-06	Basel	L 0-2	52.9	1681	1856	22.08%	25.37%	52.55%	-0.84	-7.4	20
2015-12-06	@ Thun	W 2-0	52.9	1856	1681	52.55%	25.37%	22.08%	+0.84	+7.4	43
2015-12-06	Grasshopper	W 4-1	63.5	1637	1773	25.92%	26.61%	47.48%	-0.57	+16.8	19
2015-12-06	@ Lugano	L 1-4	63.5	1773	1637	47.48%	26.61%	25.92%	+0.57	-16.8	33
2015-12-06	Vaduz	D 2-2	75.1	1681	1597	54.84%	24.67%	20.50%	+0.93	-0.9	23
2015-12-06	@ St. Gallen	D 2-2	75.1	1597	1681	20.50%	24.67%	54.84%	-0.93	+0.9	15
2016-02-06	Grasshopper	D 1-1	70.8	1766	1756	45.21%	27.01%	27.78%	+0.42	-0.6	29
2016-02-06	@ Young Boys	D 1-1	70.8	1756	1766	27.78%	27.01%	45.21%	-0.42	+0.6	34
2016-02-06	Vaduz	L 2-5	65.8	1654	1598	51.29%	25.72%	22.98%	+0.74	-15.5	19
2016-02-06	@ Lugano	W 5-2	65.8	1598	1654	22.98%	25.72%	51.29%	-0.74	+15.5	18
2016-02-07	Luzern	W 3-0	48.3	1864	1725	61.36%	22.18%	16.46%	+1.30	+8.0	46
2016-02-07	@ Basel	L 0-3	48.3	1725	1864	16.46%	22.18%	61.36%	-1.30	-8.0	26
2016-02-07	Sion	L 0-1	62.0	1671	1676	43.20%	27.28%	29.51%	+0.32	-6.8	17
2016-02-07	@ Zurich	W 1-0	62.0	1676	1671	29.51%	27.28%	43.20%	-0.32	+6.8	25
2016-02-07	Thun	L 1-2	67.4	1680	1674	44.74%	27.08%	28.18%	+0.40	-6.5	23
2016-02-07	@ St. Gallen	W 2-1	67.4	1674	1680	28.18%	27.08%	44.74%	-0.40	+6.5	23
2016-02-13	Lugano	W 2-1	60.6	1681	1638	49.57%	26.16%	24.28%	+0.65	+4.1	26
2016-02-13	@ Thun	L 1-2	60.6	1638	1681	24.28%	26.16%	49.57%	-0.65	-4.0	19
2016-02-13	Young Boys	D 1-1	70.3	1614	1765	24.29%	26.16%	49.55%	-0.68	+0.8	19
2016-02-13	@ Vaduz	D 1-1	70.3	1765	1614	49.55%	26.16%	24.29%	+0.68	-0.8	30
2016-02-14	Basel	L 0-4	52.9	1757	1872	28.26%	27.09%	44.65%	-0.43	-17.5	34
2016-02-14	@ Grasshopper	W 4-0	52.9	1872	1757	44.65%	27.09%	28.26%	+0.43	+17.5	49
2016-02-14	Zurich	L 1-2	69.1	1717	1665	50.92%	25.82%	23.26%	+0.72	-7.2	26
2016-02-14	@ Luzern	W 2-1	69.1	1665	1717	23.26%	25.82%	50.92%	-0.72	+7.2	20
2016-02-20	Thun	W 2-1	60.1	1765	1685	54.37%	24.82%	20.81%	+0.90	+3.5	33
2016-02-20	@ Young Boys	L 1-2	60.1	1685	1765	20.81%	24.82%	54.37%	-0.90	-3.5	26
2016-02-20	Zurich	D 0-0	65.2	1634	1672	38.62%	27.65%	33.73%	+0.10	-0.2	20
2016-02-20	@ Lugano	D 0-0	65.2	1672	1634	33.73%	27.65%	38.62%	-0.10	+0.2	21
2016-02-21	Sion	W 3-0	50.8	1739	1683	51.38%	25.70%	22.92%	+0.74	+11.2	37
2016-02-21	@ Grasshopper	L 0-3	50.8	1683	1739	22.92%	25.70%	51.38%	-0.74	-11.2	25
2016-02-21	St. Gallen	L 0-1	63.7	1710	1674	48.79%	26.33%	24.88%	+0.61	-7.4	26
2016-02-21	@ Luzern	W 1-0	63.7	1674	1710	24.88%	26.33%	48.79%	-0.61	+7.4	26
2016-02-21	Vaduz	W 5-1	47.7	1889	1614	75.29%	15.10%	9.61%	+2.23	+4.6	52
2016-02-21	@ Basel	L 1-5	47.7	1614	1889	9.61%	15.10%	75.29%	-2.23	-4.6	19
2016-02-27	Luzern	W 3-1	61.4	1672	1703	39.60%	27.61%	32.80%	+0.15	+9.0	28
2016-02-27	@ Sion	L 1-3	61.4	1703	1672	32.80%	27.61%	39.60%	-0.15	-9.0	26
2016-02-27	Young Boys	L 0-1	58.9	1672	1768	30.58%	27.42%	42.01%	-0.30	-5.2	21
2016-02-27	@ Zurich	W 1-0	58.9	1768	1672	42.01%	27.42%	30.58%	+0.30	+5.2	36
2016-02-28	Basel	D 1-1	71.8	1681	1894	18.94%	23.83%	57.22%	-1.09	+1.3	27
2016-02-28	@ Thun	D 1-1	71.8	1894	1681	57.22%	23.83%	18.94%	+1.09	-1.3	53
2016-02-28	Grasshopper	D 1-1	70.1	1610	1750	25.43%	26.48%	48.08%	-0.60	+0.7	20
2016-02-28	@ Vaduz	D 1-1	70.1	1750	1610	48.08%	26.48%	25.43%	+0.60	-0.7	38
2016-02-28	Lugano	D 3-3	79.4	1681	1634	50.19%	26.01%	23.81%	+0.68	-0.5	27
2016-02-28	@ St. Gallen	D 3-3	79.4	1634	1681	23.81%	26.01%	50.19%	-0.68	+0.5	21
2016-03-05	Thun	D 0-0	65.7	1667	1682	41.72%	27.44%	30.83%	+0.25	-0.4	22
2016-03-05	@ Zurich	D 0-0	65.7	1682	1667	30.83%	27.44%	41.72%	-0.25	+0.4	28
2016-03-06	Luzern	W 5-2	58.4	1773	1694	54.33%	24.83%	20.83%	+0.90	+7.5	39
2016-03-06	@ Young Boys	L 2-5	58.4	1694	1773	20.83%	24.83%	54.33%	-0.90	-7.5	26
2016-03-06	Vaduz	W 2-0	51.1	1681	1611	53.16%	25.19%	21.65%	+0.84	+7.3	31
2016-03-06	@ Sion	L 0-2	51.1	1611	1681	21.65%	25.19%	53.16%	-0.84	-7.3	20
2016-03-07	Grasshopper	W 2-0	58.0	1681	1750	34.12%	27.67%	38.21%	-0.11	+11.6	30
2016-03-07	@ St. Gallen	L 0-2	58.0	1750	1681	38.21%	27.67%	34.12%	+0.11	-11.6	38
2016-03-12	Lugano	W 2-1	60.2	1686	1635	50.77%	25.86%	23.37%	+0.71	+3.9	29
2016-03-12	@ Luzern	L 1-2	60.2	1635	1686	23.37%	25.86%	50.77%	-0.71	-3.9	21
2016-03-12	Thun	D 0-0	64.9	1603	1683	32.73%	27.60%	39.67%	-0.18	+0.2	21
2016-03-12	@ Vaduz	D 0-0	64.9	1683	1603	39.67%	27.60%	32.73%	+0.18	-0.2	29
2016-03-13	Sion	W 3-2	64.9	1781	1688	55.92%	24.30%	19.78%	+0.99	+3.2	42
2016-03-13	@ Young Boys	L 2-3	64.9	1688	1781	19.78%	24.30%	55.92%	-0.99	-3.2	31
2016-03-13	St. Gallen	W 4-2	58.1	1893	1692	68.09%	18.98%	12.92%	+1.73	+3.2	56
2016-03-13	@ Basel	L 2-4	58.1	1692	1893	12.92%	18.98%	68.09%	-1.73	-3.2	30
2016-03-13	Zurich	W 4-2	61.8	1738	1666	53.34%	25.14%	21.52%	+0.85	+5.6	41
2016-03-13	@ Grasshopper	L 2-4	61.8	1666	1738	21.52%	25.14%	53.34%	-0.85	-5.6	22
2016-03-19	Luzern	D 1-1	69.9	1683	1690	42.85%	27.33%	29.82%	+0.31	-0.4	30
2016-03-19	@ Thun	D 1-1	69.9	1690	1683	29.82%	27.33%	42.85%	-0.31	+0.4	30
2016-03-19	Young Boys	L 2-3	69.2	1689	1784	30.71%	27.43%	41.86%	-0.29	-4.7	30
2016-03-19	@ St. Gallen	W 3-2	69.2	1784	1689	41.86%	27.43%	30.71%	+0.29	+4.7	45
2016-03-20	Basel	L 0-1	54.8	1685	1896	19.09%	23.92%	56.99%	-1.08	-3.4	31
2016-03-20	@ Sion	W 1-0	54.8	1896	1685	56.99%	23.92%	19.09%	+1.08	+3.4	59
2016-03-20	Lugano	L 0-1	65.6	1744	1631	58.38%	23.40%	18.22%	+1.13	-8.6	41
2016-03-20	@ Grasshopper	W 1-0	65.6	1631	1744	18.22%	23.40%	58.38%	-1.13	+8.6	24
2016-03-20	Zurich	L 0-3	53.6	1604	1661	35.80%	27.70%	36.50%	-0.03	-16.1	21
2016-03-20	@ Vaduz	W 3-0	53.6	1661	1604	36.50%	27.70%	35.80%	+0.03	+16.1	25
2016-04-02	St. Gallen	W 4-0	52.3	1677	1684	42.87%	27.32%	29.81%	+0.31	+18.3	28
2016-04-02	@ Zurich	L 0-4	52.3	1684	1677	29.81%	27.32%	42.87%	-0.31	-18.3	30
2016-04-02	Vaduz	W 5-1	51.3	1690	1588	57.18%	23.85%	18.97%	+1.06	+10.1	33
2016-04-02	@ Luzern	L 1-5	51.3	1588	1690	18.97%	23.85%	57.18%	-1.06	-10.1	21
2016-04-03	Grasshopper	W 2-1	65.4	1682	1735	36.40%	27.70%	35.90%	+0.00	+5.5	33
2016-04-03	@ Thun	L 1-2	65.4	1735	1682	35.90%	27.70%	36.40%	+0.00	-5.5	41
2016-04-03	Sion	L 0-6	55.7	1639	1682	37.94%	27.68%	34.38%	+0.07	-32.1	24
2016-04-03	@ Lugano	W 6-0	55.7	1682	1639	34.38%	27.68%	37.94%	-0.07	+32.1	34
2016-04-03	Young Boys	W 2-0	51.5	1899	1789	58.12%	23.50%	18.38%	+1.11	+6.2	62
2016-04-03	@ Basel	L 0-2	51.5	1789	1899	18.38%	23.50%	58.12%	-1.11	-6.2	45
2016-04-09	Lugano	W 7-0	47.8	1782	1607	65.40%	20.32%	14.27%	+1.55	+15.1	48
2016-04-09	@ Young Boys	L 0-7	47.8	1607	1782	14.27%	20.32%	65.40%	-1.55	-15.1	24
2016-04-09	Luzern	D 1-1	70.5	1730	1701	47.83%	26.54%	25.64%	+0.56	-0.7	42
2016-04-09	@ Grasshopper	D 1-1	70.5	1701	1730	25.64%	26.54%	47.83%	-0.56	+0.7	34
2016-04-10	St. Gallen	W 3-0	54.8	1577	1666	31.53%	27.51%	40.96%	-0.25	+17.8	24
2016-04-10	@ Vaduz	L 0-3	54.8	1666	1577	40.96%	27.51%	31.53%	+0.25	-17.8	30
2016-04-10	Thun	W 2-1	62.0	1714	1688	47.42%	26.62%	25.97%	+0.54	+4.3	37
2016-04-10	@ Sion	L 1-2	62.0	1688	1714	25.97%	26.62%	47.42%	-0.54	-4.3	33
2016-04-10	Zurich	D 2-2	78.9	1906	1695	69.10%	18.46%	12.43%	+1.79	-1.5	63
2016-04-10	@ Basel	D 2-2	78.9	1695	1906	12.43%	18.46%	69.10%	-1.79	+1.5	29
2016-04-13	Basel	L 1-4	51.2	1592	1904	12.83%	18.89%	68.28%	-1.77	-5.1	24
2016-04-13	@ Lugano	W 4-1	51.2	1904	1592	68.28%	18.89%	12.83%	+1.77	+5.1	66
2016-04-13	St. Gallen	D 1-1	70.5	1718	1648	53.09%	25.21%	21.69%	+0.83	-1.0	38
2016-04-13	@ Sion	D 1-1	70.5	1648	1718	21.69%	25.21%	53.09%	-0.83	+1.0	31
2016-04-16	Grasshopper	W 2-1	63.8	1717	1729	42.22%	27.39%	30.39%	+0.28	+4.9	41
2016-04-16	@ Sion	L 1-2	63.8	1729	1717	30.39%	27.39%	42.22%	-0.28	-4.9	42
2016-04-16	Luzern	L 0-1	62.4	1697	1701	43.24%	27.28%	29.48%	+0.33	-6.8	29
2016-04-16	@ Zurich	W 1-0	62.4	1701	1697	29.48%	27.28%	43.24%	-0.33	+6.8	37
2016-04-17	Basel	L 0-7	49.3	1649	1909	15.73%	21.60%	62.67%	-1.41	-16.8	31
2016-04-17	@ St. Gallen	W 7-0	49.3	1909	1649	62.67%	21.60%	15.73%	+1.41	+16.8	69
2016-04-17	Thun	W 2-1	65.6	1587	1683	30.55%	27.41%	42.04%	-0.30	+6.2	27
2016-04-17	@ Lugano	L 1-2	65.6	1683	1587	42.04%	27.41%	30.55%	+0.30	-6.2	33
2016-04-17	Vaduz	W 5-4	65.3	1797	1595	68.27%	18.89%	12.84%	+1.74	+1.9	51
2016-04-17	@ Young Boys	L 4-5	65.3	1595	1797	12.84%	18.89%	68.27%	-1.74	-1.9	24
2016-04-19	Grasshopper	D 1-1	70.1	1690	1724	39.10%	27.63%	33.27%	+0.12	-0.2	30
2016-04-19	@ Zurich	D 1-1	70.1	1724	1690	33.27%	27.63%	39.10%	-0.12	+0.2	43
2016-04-20	Lugano	W 3-0	42.6	1926	1593	80.14%	12.31%	7.55%	+2.63	+3.1	72
2016-04-20	@ Basel	L 0-3	42.6	1593	1926	7.55%	12.31%	80.14%	-2.63	-3.1	27
2016-04-20	Sion	W 2-1	66.4	1632	1722	31.43%	27.50%	41.07%	-0.25	+6.1	34
2016-04-20	@ St. Gallen	L 1-2	66.4	1722	1632	41.07%	27.50%	31.43%	+0.25	-6.1	41
2016-04-20	Young Boys	L 2-3	69.4	1708	1799	31.19%	27.48%	41.33%	-0.26	-4.7	37
2016-04-20	@ Luzern	W 3-2	69.4	1799	1708	41.33%	27.48%	31.19%	+0.26	+4.7	54
2016-04-21	Vaduz	D 2-2	74.9	1677	1593	54.86%	24.66%	20.48%	+0.93	-0.9	34
2016-04-21	@ Thun	D 2-2	74.9	1593	1677	20.48%	24.66%	54.86%	-0.93	+0.9	25
2016-04-23	Lugano	W 3-1	54.7	1716	1590	59.84%	22.82%	17.34%	+1.21	+5.0	44
2016-04-23	@ Sion	L 1-3	54.7	1590	1716	17.34%	22.82%	59.84%	-1.21	-5.0	27
2016-04-23	St. Gallen	W 2-0	51.3	1724	1639	55.08%	24.59%	20.33%	+0.94	+6.9	46
2016-04-23	@ Grasshopper	L 0-2	51.3	1639	1724	20.33%	24.59%	55.08%	-0.94	-6.9	34
2016-04-24	Basel	D 0-0	69.6	1594	1929	11.72%	17.67%	70.61%	-1.93	+2.3	26
2016-04-24	@ Vaduz	D 0-0	69.6	1929	1594	70.61%	17.67%	11.72%	+1.93	-2.3	73
2016-04-24	Thun	W 3-0	51.6	1703	1676	47.56%	26.59%	25.85%	+0.54	+12.4	40
2016-04-24	@ Luzern	L 0-3	51.6	1676	1703	25.85%	26.59%	47.56%	-0.54	-12.4	34
2016-04-24	Zurich	W 3-0	48.9	1804	1690	58.54%	23.34%	18.13%	+1.14	+8.9	57
2016-04-24	@ Young Boys	L 0-3	48.9	1690	1804	18.13%	23.34%	58.54%	-1.14	-8.9	30
2016-04-30	Sion	W 2-1	56.4	1927	1721	68.67%	18.69%	12.64%	+1.76	+2.0	76
2016-04-30	@ Basel	L 1-2	56.4	1721	1927	12.64%	18.69%	68.67%	-1.76	-2.0	44
2016-04-30	Young Boys	L 1-2	64.8	1731	1813	32.41%	27.58%	40.01%	-0.20	-5.1	46
2016-04-30	@ Grasshopper	W 2-1	64.8	1813	1731	40.01%	27.58%	32.41%	+0.20	+5.1	60
2016-05-01	Luzern	D 1-1	69.3	1585	1716	26.50%	26.74%	46.75%	-0.53	+0.7	28
2016-05-01	@ Lugano	D 1-1	69.3	1716	1585	46.75%	26.74%	26.50%	+0.53	-0.6	41
2016-05-01	Vaduz	L 1-3	63.9	1632	1596	48.65%	26.36%	24.98%	+0.60	-12.1	34
2016-05-01	@ St. Gallen	W 3-1	63.9	1596	1632	24.98%	26.36%	48.65%	-0.60	+12.1	29
2016-05-01	Zurich	W 4-0	52.6	1664	1681	41.53%	27.46%	31.01%	+0.24	+18.9	37
2016-05-01	@ Thun	L 0-4	52.6	1681	1664	31.01%	27.46%	41.53%	-0.24	-18.8	30
2016-05-07	Basel	L 2-3	63.0	1662	1929	15.30%	21.24%	63.46%	-1.46	-2.4	30
2016-05-07	@ Zurich	W 3-2	63.0	1929	1662	63.46%	21.24%	15.30%	+1.46	+2.4	79
2016-05-07	St. Gallen	D 2-2	75.2	1683	1620	52.25%	25.46%	22.29%	+0.79	-0.8	38
2016-05-07	@ Thun	D 2-2	75.2	1620	1683	22.29%	25.46%	52.25%	-0.79	+0.7	35
2016-05-08	Grasshopper	L 0-1	56.0	1586	1726	25.48%	26.50%	48.03%	-0.60	-4.5	28
2016-05-08	@ Lugano	W 1-0	56.0	1726	1586	48.03%	26.50%	25.48%	+0.60	+4.5	49
2016-05-08	Luzern	L 1-2	62.5	1608	1715	29.27%	27.25%	43.48%	-0.37	-4.8	29
2016-05-08	@ Vaduz	W 2-1	62.5	1715	1608	43.48%	27.25%	29.27%	+0.37	+4.8	44
2016-05-08	Young Boys	W 2-1	67.7	1719	1818	30.16%	27.37%	42.47%	-0.32	+6.3	47
2016-05-08	@ Sion	L 1-2	67.7	1818	1719	42.47%	27.37%	30.16%	+0.32	-6.3	60
2016-05-10	Thun	D 1-1	74.1	1931	1682	72.93%	16.41%	10.66%	+2.06	-2.1	80
2016-05-10	@ Basel	D 1-1	74.1	1682	1931	10.66%	16.41%	72.93%	-2.06	+2.1	39
2016-05-11	Grasshopper	W 3-0	53.6	1720	1730	42.42%	27.37%	30.20%	+0.29	+14.1	47
2016-05-11	@ Luzern	L 0-3	53.6	1730	1720	30.20%	27.37%	42.42%	-0.29	-14.1	49
2016-05-11	Lugano	L 0-4	57.3	1660	1581	54.16%	24.89%	20.96%	+0.89	-28.9	30
2016-05-11	@ Zurich	W 4-0	57.3	1581	1660	20.96%	24.89%	54.16%	-0.89	+28.9	31
2016-05-11	Sion	W 2-0	59.2	1604	1725	27.56%	26.96%	45.48%	-0.47	+13.2	32
2016-05-11	@ Vaduz	L 0-2	59.2	1725	1604	45.48%	26.96%	27.56%	+0.47	-13.2	47
2016-05-12	St. Gallen	W 3-1	53.6	1812	1620	67.14%	19.47%	13.39%	+1.66	+3.8	63
2016-05-12	@ Young Boys	L 1-3	53.6	1620	1812	13.39%	19.47%	67.14%	-1.66	-3.8	35
2016-05-16	Basel	W 4-0	60.2	1734	1929	20.34%	24.59%	55.06%	-0.97	+29.2	50
2016-05-16	@ Luzern	L 0-4	60.2	1929	1734	55.06%	24.59%	20.34%	+0.97	-29.2	80
2016-05-16	Sion	D 1-1	70.0	1684	1712	40.03%	27.58%	32.39%	+0.17	-0.2	40
2016-05-16	@ Thun	D 1-1	70.0	1712	1684	32.39%	27.58%	40.03%	-0.17	+0.2	48
2016-05-16	Vaduz	L 1-2	69.8	1716	1617	56.74%	24.01%	19.25%	+1.04	-7.9	49
2016-05-16	@ Grasshopper	W 2-1	69.8	1617	1716	19.25%	24.01%	56.74%	-1.04	+7.9	35
2016-05-16	Young Boys	L 1-3	56.8	1610	1816	19.52%	24.16%	56.31%	-1.04	-5.7	31
2016-05-16	@ Lugano	W 3-1	56.8	1816	1610	56.31%	24.16%	19.52%	+1.04	+5.7	66
2016-05-16	Zurich	W 3-0	51.7	1617	1631	41.93%	27.42%	30.64%	+0.26	+14.3	38
2016-05-16	@ St. Gallen	L 0-3	51.7	1631	1617	30.64%	27.42%	41.93%	-0.26	-14.3	30
2016-05-22	Basel	L 2-3	70.3	1821	1900	32.83%	27.61%	39.56%	-0.18	-4.9	66
2016-05-22	@ Young Boys	W 3-2	70.3	1900	1821	39.56%	27.61%	32.83%	+0.18	+4.9	83
2016-05-22	Lugano	D 0-0	64.2	1625	1604	46.67%	26.76%	26.57%	+0.50	-0.7	36
2016-05-22	@ Vaduz	D 0-0	64.2	1604	1625	26.57%	26.76%	46.67%	-0.50	+0.7	32
2016-05-22	Luzern	L 1-4	57.1	1631	1763	26.31%	26.70%	46.99%	-0.54	-10.7	38
2016-05-22	@ St. Gallen	W 4-1	57.1	1763	1631	46.99%	26.70%	26.31%	+0.54	+10.7	53
2016-05-22	Thun	D 0-0	66.3	1708	1684	47.23%	26.66%	26.12%	+0.53	-0.8	50
2016-05-22	@ Grasshopper	D 0-0	66.3	1684	1708	26.12%	26.66%	47.23%	-0.53	+0.8	41
2016-05-22	Zurich	D 2-2	75.8	1712	1616	56.29%	24.17%	19.54%	+1.01	-0.9	49
2016-05-22	@ Sion	D 2-2	75.8	1616	1712	19.54%	24.17%	56.29%	-1.01	+0.9	31
2016-05-25	Grasshopper	L 0-1	68.1	1905	1708	67.74%	19.16%	13.10%	+1.70	-9.6	83
2016-05-25	@ Basel	W 1-0	68.1	1708	1905	13.10%	19.16%	67.74%	-1.70	+9.6	53
2016-05-25	Sion	D 2-2	76.5	1774	1711	52.23%	25.47%	22.31%	+0.79	-0.8	54
2016-05-25	@ Luzern	D 2-2	76.5	1711	1774	22.31%	25.47%	52.23%	-0.79	+0.8	50
2016-05-25	St. Gallen	W 3-0	51.3	1605	1620	41.80%	27.44%	30.76%	+0.26	+14.3	35
2016-05-25	@ Lugano	L 0-3	51.3	1620	1605	30.76%	27.44%	41.80%	-0.26	-14.3	38
2016-05-25	Vaduz	W 3-1	58.8	1617	1624	42.94%	27.31%	29.74%	+0.31	+8.3	34
2016-05-25	@ Zurich	L 1-3	58.8	1624	1617	29.74%	27.31%	42.94%	-0.31	-8.3	36
2016-05-25	Young Boys	L 0-3	52.5	1685	1816	26.39%	26.72%	46.90%	-0.54	-12.7	41
2016-05-25	@ Thun	W 3-0	52.5	1816	1685	46.90%	26.72%	26.39%	+0.54	+12.7	69

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	2016-05-25	13.10%	Grasshopper	1708	1	@ Basel	1905	0
2	2015-11-08	17.72%	Grasshopper	1743	3	@ Basel	1863	2
3	2015-08-12	17.76%	Lugano	1635	1	@ Young Boys	1755	0
4	2016-03-20	18.22%	Lugano	1631	1	@ Grasshopper	1744	0
5	2015-09-27	18.42%	Vaduz	1593	1	@ Sion	1704	0
6	2016-05-16	19.25%	Vaduz	1617	2	@ Grasshopper	1716	1
7	2016-05-16	20.34%	@ Luzern	1734	4	Basel	1929	0
8	2016-05-11	20.96%	Lugano	1581	4	@ Zurich	1660	0
9	2015-11-22	21.77%	@ St. Gallen	1677	2	Basel	1855	1
10	2015-10-31	22.11%	Thun	1686	2	@ Grasshopper	1751	1
11	2016-02-06	22.98%	Vaduz	1598	5	@ Lugano	1654	2
12	2015-08-12	23.14%	St. Gallen	1671	1	@ Luzern	1725	0
13	2016-02-14	23.26%	Zurich	1665	2	@ Luzern	1717	1
14	2016-02-21	24.88%	St. Gallen	1674	1	@ Luzern	1710	0
15	2016-05-01	24.98%	Vaduz	1596	3	@ St. Gallen	1632	1
16	2015-11-08	25.56%	St. Gallen	1663	2	@ Thun	1693	0
17	2015-12-06	25.92%	@ Lugano	1637	4	Grasshopper	1773	1
18	2015-11-29	27.35%	Thun	1675	2	@ Sion	1688	1
19	2016-05-11	27.56%	@ Vaduz	1604	2	Sion	1725	0
20	2016-02-07	28.18%	Thun	1674	2	@ St. Gallen	1680	1
21	2015-08-02	28.57%	Grasshopper	1716	3	@ Zurich	1719	2
22	2015-08-30	28.88%	Sion	1688	2	@ Thun	1688	0
23	2015-08-22	29.08%	Luzern	1717	5	@ Zurich	1716	2
24	2016-04-16	29.48%	Luzern	1701	1	@ Zurich	1697	0
25	2016-02-07	29.51%	Sion	1676	1	@ Zurich	1671	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	2016-04-03	32.06	Sion	6	1682	34.38%	@ Lugano	0	1639	37.94%	27.68%
2	2016-05-16	29.25	@ Luzern	4	1734	20.34%	Basel	0	1929	55.06%	24.59%
3	2016-05-11	28.86	Lugano	4	1581	20.96%	@ Zurich	0	1660	54.16%	24.89%
4	2016-05-01	18.85	@ Thun	4	1664	41.53%	Zurich	0	1681	31.01%	27.46%
5	2016-04-02	18.28	@ Zurich	4	1677	42.87%	St. Gallen	0	1684	29.81%	27.32%
6	2016-04-10	17.76	@ Vaduz	3	1577	31.53%	St. Gallen	0	1666	40.96%	27.51%
7	2016-02-14	17.51	Basel	4	1872	44.65%	@ Grasshopper	0	1757	28.26%	27.09%
8	2015-11-29	16.87	@ Grasshopper	5	1756	53.53%	Zurich	0	1683	21.39%	25.08%
9	2016-04-17	16.84	Basel	7	1909	62.67%	@ St. Gallen	0	1649	15.73%	21.60%
10	2015-12-06	16.78	@ Lugano	4	1637	25.92%	Grasshopper	1	1773	47.48%	26.61%
11	2015-11-01	16.76	@ Lugano	3	1626	34.41%	Sion	0	1693	37.91%	27.68%
12	2015-10-18	16.27	@ Thun	5	1665	39.96%	Zurich	1	1693	32.46%	27.58%
13	2016-03-20	16.07	Zurich	3	1661	36.50%	@ Vaduz	0	1604	35.80%	27.70%
14	2016-02-06	15.45	Vaduz	5	1598	22.98%	@ Lugano	2	1654	51.29%	25.72%
15	2016-04-09	15.07	@ Young Boys	7	1782	65.40%	Lugano	0	1607	14.27%	20.32%
16	2016-05-25	14.34	@ Lugano	3	1605	41.80%	St. Gallen	0	1620	30.76%	27.44%
17	2016-05-16	14.30	@ St. Gallen	3	1617	41.93%	Zurich	0	1631	30.64%	27.42%
18	2016-05-11	14.13	@ Luzern	3	1720	42.42%	Grasshopper	0	1730	30.20%	27.37%
19	2015-08-08	13.96	@ Grasshopper	6	1723	53.56%	Lugano	1	1649	21.37%	25.07%
20	2015-11-08	13.80	St. Gallen	2	1663	25.56%	@ Thun	0	1693	47.92%	26.52%
21	2015-08-22	13.62	Luzern	5	1717	29.08%	@ Zurich	2	1716	43.70%	27.22%
22	2016-05-11	13.25	@ Vaduz	2	1604	27.56%	Sion	0	1725	45.48%	26.96%
23	2015-08-30	12.90	Sion	2	1688	28.88%	@ Thun	0	1688	43.93%	27.19%
24	2016-05-25	12.66	Young Boys	3	1816	46.90%	@ Thun	0	1685	26.39%	26.72%
25	2016-04-24	12.44	@ Luzern	3	1703	47.56%	Thun	0	1676	25.85%	26.59%

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	2015-09-13	80.2	@ Luzern	3	1736	41.73%	Grasshopper	3	1752	30.83%	27.44%
2	2015-09-13	79.8	@ Zurich	3	1698	46.92%	Thun	3	1675	26.37%	26.71%
3	2015-08-13	79.5	@ Vaduz	3	1605	26.38%	Grasshopper	3	1737	46.90%	26.72%
4	2016-02-28	79.4	@ St. Gallen	3	1681	50.19%	Lugano	3	1634	23.81%	26.01%
5	2016-04-10	78.9	@ Basel	2	1906	69.10%	Zurich	2	1695	12.43%	18.46%
6	2015-11-08	76.7	Grasshopper	3	1743	17.72%	@ Basel	2	1863	59.21%	23.07%
7	2015-10-03	76.6	@ Luzern	2	1745	59.86%	Lugano	2	1619	17.34%	22.81%
8	2015-10-04	76.5	@ Zurich	2	1693	23.81%	Basel	2	1849	50.18%	26.01%
9	2016-05-25	76.5	@ Luzern	2	1774	52.23%	Sion	2	1711	22.31%	25.47%
10	2015-07-18	75.9	@ Luzern	2	1727	48.60%	Sion	2	1692	25.02%	26.37%
11	2015-09-23	75.8	@ Young Boys	4	1762	31.31%	Basel	3	1852	41.20%	27.49%
12	2016-05-22	75.8	@ Sion	2	1712	56.29%	Zurich	2	1616	19.54%	24.17%
13	2016-05-07	75.2	@ Thun	2	1683	52.25%	St. Gallen	2	1620	22.29%	25.46%
14	2015-10-24	75.1	@ Zurich	2	1677	46.72%	St. Gallen	2	1656	26.53%	26.75%
15	2015-12-06	75.1	@ St. Gallen	2	1681	54.84%	Vaduz	2	1597	20.50%	24.67%
16	2015-07-26	74.9	@ Vaduz	2	1609	28.73%	Zurich	2	1720	44.10%	27.17%
17	2016-04-21	74.9	@ Thun	2	1677	54.86%	Vaduz	2	1593	20.48%	24.66%
18	2016-05-10	74.1	@ Basel	1	1931	72.93%	Thun	1	1682	10.66%	16.41%
19	2015-08-02	73.0	Grasshopper	3	1716	28.57%	@ Zurich	2	1719	44.29%	27.14%
20	2016-02-28	71.8	@ Thun	1	1681	18.94%	Basel	1	1894	57.22%	23.83%
21	2015-11-01	71.4	@ Young Boys	1	1775	56.67%	Zurich	1	1677	19.29%	24.04%
22	2015-10-25	71.3	@ Sion	3	1687	34.16%	Grasshopper	2	1756	38.17%	27.67%
23	2015-11-22	71.3	@ Young Boys	1	1774	55.17%	Sion	1	1687	20.27%	24.56%
24	2015-07-19	71.2	Grasshopper	5	1712	29.59%	@ Thun	3	1706	43.12%	27.29%
25	2015-09-26	71.2	@ Grasshopper	1	1760	56.28%	St. Gallen	1	1665	19.55%	24.18%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2016-04-20	42.6	@ Basel	3	1926	80.14%	Lugano	0	1593	7.55%	12.31%
2	2015-09-12	46.6	@ Young Boys	4	1751	61.93%	Vaduz	0	1608	16.14%	21.93%
3	2016-02-21	47.7	@ Basel	5	1889	75.29%	Vaduz	1	1614	9.61%	15.10%
4	2016-04-09	47.8	@ Young Boys	7	1782	65.40%	Lugano	0	1607	14.27%	20.32%
5	2015-07-19	48.0	@ Basel	2	1808	67.52%	Vaduz	0	1613	13.20%	19.28%
6	2016-02-07	48.3	@ Basel	3	1864	61.36%	Luzern	0	1725	16.46%	22.18%
7	2015-08-01	48.8	@ Basel	3	1817	59.11%	Sion	0	1698	17.78%	23.11%
8	2015-11-29	48.8	@ Basel	3	1848	59.67%	Luzern	0	1724	17.45%	22.89%
9	2016-04-24	48.9	@ Young Boys	3	1804	58.54%	Zurich	0	1690	18.13%	23.34%
10	2015-11-21	49.0	@ Grasshopper	2	1751	62.43%	Vaduz	0	1603	15.87%	21.71%
11	2016-04-17	49.3	Basel	7	1909	62.67%	@ St. Gallen	0	1649	15.73%	21.60%
12	2015-09-13	49.6	@ Sion	3	1701	52.91%	Lugano	0	1633	21.82%	25.27%
13	2015-11-29	50.1	@ Grasshopper	5	1756	53.53%	Zurich	0	1683	21.39%	25.08%
14	2016-02-21	50.8	@ Grasshopper	3	1739	51.38%	Sion	0	1683	22.92%	25.70%
15	2016-03-06	51.1	@ Sion	2	1681	53.16%	Vaduz	0	1611	21.65%	25.19%
16	2016-04-13	51.2	Basel	4	1904	68.28%	@ Lugano	1	1592	12.83%	18.89%
17	2016-04-02	51.3	@ Luzern	5	1690	57.18%	Vaduz	1	1588	18.97%	23.85%
18	2016-04-23	51.3	@ Grasshopper	2	1724	55.08%	St. Gallen	0	1639	20.33%	24.59%
19	2016-05-25	51.3	@ Lugano	3	1605	41.80%	St. Gallen	0	1620	30.76%	27.44%
20	2016-04-03	51.5	@ Basel	2	1899	58.12%	Young Boys	0	1789	18.38%	23.50%
21	2016-04-24	51.6	@ Luzern	3	1703	47.56%	Thun	0	1676	25.85%	26.59%
22	2016-05-16	51.7	@ St. Gallen	3	1617	41.93%	Zurich	0	1631	30.64%	27.42%
23	2016-04-02	52.3	@ Zurich	4	1677	42.87%	St. Gallen	0	1684	29.81%	27.32%
24	2016-05-25	52.5	Young Boys	3	1816	46.90%	@ Thun	0	1685	26.39%	26.72%
25	2016-05-01	52.6	@ Thun	4	1664	41.53%	Zurich	0	1681	31.01%	27.46%