2014-15 Super League Season

180 games

Final

Champion

Basel

78 points

Relegated

No relegation

Biggest Overachiever

Basel

8.95 points above expected

78 points · 69.05 expected points

Biggest Disappointment

Aarau

9.62 points below expected

30 points · 39.62 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	24	6	6	78	84	41	+43	69.05	+8.95
2	Young Boys	36	19	9	8	66	64	45	+19	57.14	+8.86
3	Zurich	36	15	8	13	53	55	48	+7	55.76	-2.76
4	Thun	36	13	13	10	52	47	45	+2	50.24	+1.76
5	Luzern	36	12	11	13	47	54	46	+8	44.26	+2.74
6	St. Gallen	36	13	8	15	47	57	65	-8	46.29	+0.71
7	Sion	36	12	9	15	45	47	48	-1	43.36	+1.64
8	Grasshopper	36	11	10	15	43	50	56	-6	51.20	-8.20
9	Vaduz	36	7	10	19	31	28	59	-31	35.17	-4.17
10	Aarau	36	6	12	18	30	31	64	-33	39.62	-9.62

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	Basel	78	69.05	+8.95
2	Young Boys	66	57.14	+8.86
3	Luzern	47	44.26	+2.74
4	Thun	52	50.24	+1.76
5	Sion	45	43.36	+1.64

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Aarau	30	39.62	-9.62
2	Grasshopper	43	51.20	-8.20
3	Vaduz	31	35.17	-4.17
4	Zurich	53	55.76	-2.76
5	St. Gallen	47	46.29	+0.71

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	Luzern	4	Apr 19 – May 3	1 in 106
2	Young Boys	5	Nov 9 – Dec 6	1 in 97
3	St. Gallen	4	Sep 24 – Oct 18	1 in 89
4	Basel	6	Nov 1 – Feb 8	1 in 45
5	Sion	3	Mar 15 – Mar 22	1 in 44

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Zurich	5	Mar 15 – Apr 18	1 in 386
2	St. Gallen	5	Apr 26 – May 17	1 in 136
3	Sion	5	Aug 17 – Sep 28	1 in 60
4	Young Boys	3	Oct 5 – Nov 2	1 in 43
5	Aarau	4	Nov 9 – Dec 7	1 in 31

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Young Boys	13	Nov 9 – Apr 3	1 in 97
2	Luzern	7	Apr 19 – May 21	1 in 36
3	St. Gallen	7	Sep 14 – Nov 2	1 in 30
4	Grasshopper	6	Mar 1 – Apr 12	1 in 13
5	Thun	6	Nov 30 – Mar 1	1 in 11

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Zurich	8	Feb 28 – Apr 25	1 in 182
2	Aarau	16	Oct 18 – Apr 12	1 in 167
3	Luzern	12	Jul 20 – Oct 19	1 in 156
4	Basel	3	May 17 – May 25	1 in 15
5	Thun	5	Oct 19 – Nov 23	1 in 13

Position Race

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

Recent Form

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

Team	Elo	Season Pts	Elo Δ (5)	Points (5)	Expected (5)	Actual − Exp
Basel	1900	78	-5	8	10.0	-2.0
Young Boys	1801	66	-17	7	8.6	-1.6
Zurich	1753	53	+7	8	6.9	+1.1
Thun	1732	52	-12	3	6.9	-3.9
Luzern	1761	47	+21	10	7.4	+2.6
St. Gallen	1688	47	+3	6	5.4	+0.6
Sion	1709	45	+23	10	6.9	+3.1
Grasshopper	1740	43	+11	10	8.1	+1.9
Vaduz	1581	31	-27	1	4.1	-3.1
Aarau	1601	30	-4	6	4.3	+1.7

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	BAS	GRA	LUZ	SIO	SG	THU	VAD	YB	ZUR
Aarau	—	1-0-3 2.72	0-0-4 4.40	0-1-3 4.82	1-1-2 4.76	0-1-3 4.66	2-2-0 4.10	1-1-2 5.73	1-3-0 3.76	0-3-1 3.76
Basel	3-0-1 8.46	—	3-0-1 7.51	3-0-1 7.90	2-2-0 8.01	1-1-2 7.69	2-2-0 7.26	4-0-0 8.58	2-1-1 6.73	4-0-0 7.12
Grasshopper	4-0-0 6.52	1-0-3 3.50	—	2-1-1 6.06	1-3-0 6.05	2-1-1 5.56	0-2-2 5.37	1-2-1 7.20	0-1-3 4.81	0-0-4 5.02
Luzern	3-1-0 6.08	1-0-3 3.16	1-1-2 4.82	—	1-2-1 5.72	1-1-2 5.22	0-2-2 4.86	2-2-0 6.67	1-1-2 4.28	2-1-1 4.61
Sion	2-1-1 6.15	0-2-2 3.07	0-3-1 4.85	1-2-1 5.16	—	3-0-1 4.93	1-1-2 4.68	3-0-1 6.22	1-0-3 4.08	1-0-3 4.12
St. Gallen	3-1-0 6.24	2-1-1 3.35	1-1-2 5.33	2-1-1 5.67	1-0-3 5.96	—	2-0-2 5.00	0-2-2 6.83	1-1-2 4.32	1-1-2 4.76
Thun	0-2-2 6.84	0-2-2 3.71	2-2-0 5.52	2-2-0 6.04	2-1-1 6.21	2-0-2 5.88	—	3-1-0 7.01	0-2-2 5.03	2-1-1 5.06
Vaduz	2-1-1 5.17	0-0-4 2.59	1-2-1 3.77	0-2-2 4.25	1-0-3 4.69	2-2-0 4.11	0-1-3 3.94	—	1-0-3 3.32	0-2-2 3.54
Young Boys	0-3-1 7.24	1-1-2 4.20	3-1-0 6.08	2-1-1 6.64	3-0-1 6.86	2-1-1 6.62	2-2-0 5.86	3-0-1 7.72	—	3-0-1 5.60
Zurich	1-3-0 7.22	0-0-4 3.85	4-0-0 5.85	1-1-2 6.33	3-0-1 6.82	2-1-1 6.14	1-1-2 5.83	2-2-0 7.47	1-0-3 5.28	—

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	0.91	+8.7
Allowed	0.57	-12.8
Differential	0.94	+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	7.78%	9.17%	3.61%	3.61%	1.67%	0.56%	26.39%
1	9.17%	10.56%	6.94%	3.33%	1.67%	0.56%	32.22%
2	3.61%	6.94%	7.22%	3.06%	1.11%	0.83%	22.78%
3	3.61%	3.33%	3.06%	1.11%	0.56%	—	11.67%
4	1.67%	1.67%	1.11%	0.56%	—	—	5.00%
5+	0.56%	0.56%	0.83%	—	—	—	1.94%
Total	26.39%	32.22%	22.78%	11.67%	5.00%	1.94%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.44	1.44	+0.00
SD	1.28	1.28	1.82
CV	0.89	0.89	—
Max	6	6	+6
Min	0	0	-6

Games Played: 180

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	11.11%	16.67%	2.78%	8.33%	2.78%	2.78%	44.44%
1	2.78%	13.89%	8.33%	2.78%	—	2.78%	30.56%
2	2.78%	5.56%	8.33%	—	—	2.78%	19.44%
3	—	—	5.56%	—	—	—	5.56%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	16.67%	36.11%	25.00%	11.11%	2.78%	8.33%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.86	1.78	-0.92
SD	0.93	1.55	1.75
CV	1.08	0.87	—
Max	3	6	+2
Min	0	0	-6

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	—	2.78%	—	—	—	5.56%
1	8.33%	8.33%	8.33%	2.78%	—	—	27.78%
2	2.78%	11.11%	5.56%	—	2.78%	—	22.22%
3	11.11%	8.33%	5.56%	—	—	—	25.00%
4	2.78%	5.56%	2.78%	2.78%	—	—	13.89%
5+	2.78%	2.78%	—	—	—	—	5.56%
Total	30.56%	36.11%	25.00%	5.56%	2.78%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.33	1.14	+1.19
SD	1.39	1.02	1.82
CV	0.60	0.89	—
Max	6	4	+6
Min	0	0	-2

Games Played: 36

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.39	1.56	-0.17
SD	1.25	1.32	1.75
CV	0.90	0.85	—
Max	5	4	+5
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	11.11%	8.33%	—	5.56%	—	—	25.00%
1	5.56%	16.67%	8.33%	2.78%	2.78%	—	36.11%
2	8.33%	2.78%	2.78%	8.33%	—	—	22.22%
3	5.56%	—	2.78%	—	—	—	8.33%
4	2.78%	—	—	—	—	—	2.78%
5+	—	—	5.56%	—	—	—	5.56%
Total	33.33%	27.78%	19.44%	16.67%	2.78%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.50	1.28	+0.22
SD	1.50	1.19	1.85
CV	1.00	0.93	—
Max	6	4	+4
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	11.11%	2.78%	2.78%	—	2.78%	27.78%
1	16.67%	8.33%	11.11%	2.78%	2.78%	—	41.67%
2	2.78%	—	5.56%	5.56%	—	—	13.89%
3	5.56%	2.78%	—	2.78%	—	—	11.11%
4	2.78%	—	—	—	—	—	2.78%
5+	—	—	2.78%	—	—	—	2.78%
Total	36.11%	22.22%	22.22%	13.89%	2.78%	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.31	1.33	-0.03
SD	1.33	1.33	1.89
CV	1.02	1.00	—
Max	6	5	+4
Min	0	0	-5

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	5.56%	5.56%	5.56%	—	—	19.44%
1	2.78%	5.56%	2.78%	8.33%	5.56%	—	25.00%
2	8.33%	13.89%	11.11%	—	2.78%	2.78%	38.89%
3	5.56%	2.78%	—	2.78%	2.78%	—	13.89%
4	—	—	—	—	—	—	—
5+	—	2.78%	—	—	—	—	2.78%
Total	19.44%	30.56%	19.44%	16.67%	11.11%	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.58	1.81	-0.22
SD	1.13	1.47	1.96
CV	0.71	0.81	—
Max	5	6	+4
Min	0	0	-4

Games Played: 36

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.31	1.25	+0.06
SD	1.19	1.11	1.51
CV	0.91	0.88	—
Max	4	4	+4
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	16.67%	13.89%	2.78%	8.33%	—	44.44%
1	13.89%	13.89%	2.78%	5.56%	2.78%	—	38.89%
2	—	2.78%	8.33%	—	—	—	11.11%
3	—	2.78%	—	2.78%	—	—	5.56%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	16.67%	36.11%	25.00%	11.11%	11.11%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.78	1.64	-0.86
SD	0.87	1.22	1.55
CV	1.11	0.75	—
Max	3	4	+2
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	8.33%	—	—	—	—	13.89%
1	13.89%	11.11%	2.78%	5.56%	—	—	33.33%
2	2.78%	11.11%	8.33%	2.78%	—	2.78%	27.78%
3	2.78%	2.78%	5.56%	—	—	—	11.11%
4	5.56%	—	8.33%	—	—	—	13.89%
5+	—	—	—	—	—	—	—
Total	30.56%	33.33%	25.00%	8.33%	—	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.78	1.25	+0.53
SD	1.24	1.25	1.61
CV	0.70	1.00	—
Max	4	6	+4
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	11.11%	—	2.78%	—	—	22.22%
1	8.33%	5.56%	13.89%	—	2.78%	2.78%	33.33%
2	5.56%	8.33%	8.33%	2.78%	—	—	25.00%
3	2.78%	5.56%	—	—	—	—	8.33%
4	—	8.33%	—	2.78%	—	—	11.11%
5+	—	—	—	—	—	—	—
Total	25.00%	38.89%	22.22%	8.33%	2.78%	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.53	1.33	+0.19
SD	1.25	1.20	1.70
CV	0.82	0.90	—
Max	4	5	+3
Min	0	0	-4

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	1900	78	69.05	+8.95	89.0%	54	56	64	69	74	82	85
Young Boys	1801	66	57.14	+8.86	94.0%	41	46	52	57	62	67	76
Luzern	1761	47	44.26	+2.74	65.0%	23	30	40	45	48	55	63
Zurich	1753	53	55.76	-2.76	40.0%	41	42	50	55	61	66	78
Grasshopper	1740	43	51.20	-8.20	17.0%	37	39	45	51	56	63	69
Thun	1732	52	50.24	+1.76	60.0%	31	35	44	50	57	65	72
Sion	1709	45	43.36	+1.64	65.0%	27	33	38	43	48	54	62
St. Gallen	1688	47	46.29	+0.71	66.0%	28	35	41	45	50	60	64
Aarau	1601	30	39.62	-9.62	13.0%	18	28	34	39	46	52	58
Vaduz	1581	31	35.17	-4.17	28.0%	24	25	30	35	39	45	48

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

+11.11%

No Edge

42.22%26.67%31.11%

Elo Value

Home Edge: 38.76 Elo pts.

149 Elo

0.007 goals per Elo point

0400

Scoring Tilt

Expected

+0.34 goals

Neutral

-2+0.26+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

1.7

One-Team Race

123410

Champion Preseason Odds

75%

Basel, 1st of 10

LongshotFavorite

Title Margin

Expected

0.33/gm

Runaway

00.250.5/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 8.89 * Lucky: 8.89 to 11.85 * Wild Swing: 11.85 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 1.15 * Close: 1.15 to 1.73 * Off: 1.73 to 2.3 * Way Off: 2.3 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

5.98 points

Some Luck

07.4119

Average Finish Error

Expected

1.00

Pinpoint

01.443

Biggest Overachiever

Expected 95.00%

94.00%

Young Boys

50100

Biggest Underachiever

Expected 5.00%

13.00%

Aarau

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

0.15

Even

00.150.5

Noll-Scully

Elo SD: 92.37

1.86

Strong Separation

11.651.852.052.75

Interquartile Edge

59%

Even

50%63%71%76%100%

Best vs. Worst

Baseline

86%

Even

50%85%100%

Close Games

Expected

66%

Very Frequent

0%59%100%

Blowouts

Expected

18%

Rare

0%17%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

0.62

Predictable

00.632

Matchup Imbalance

0.29

Very Even

00.370.5

Strangeness

Expected

0.68

Very Predictable

01.002

Repeatability

0.69

Strong Carryover

00.420.631

Upset Rate

Expected

23%

As Expected

0%26%50%

Clear Favorite Upset Rate

Expected

19%

As Expected

0%22%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

0.92

Excellent

0.010.050.10.51

Calibration slope

Ideal

1.20

Underconfident

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.087

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
Basel	75.00%	14.00%	8.00%	3.00%	—	—	—	—	—	—
Young Boys	7.00%	30.00%	25.00%	14.00%	14.00%	7.00%	2.00%	1.00%	—	—
Zurich	10.00%	23.00%	30.00%	10.00%	7.00%	9.00%	9.00%	1.00%	1.00%	—
Thun	3.00%	16.00%	7.00%	15.00%	21.00%	10.00%	7.00%	7.00%	12.00%	2.00%
Luzern	1.00%	2.00%	4.00%	10.00%	15.00%	20.00%	13.00%	12.00%	12.00%	11.00%
St. Gallen	1.00%	5.00%	6.00%	11.00%	6.00%	23.00%	20.00%	19.00%	4.00%	5.00%
Sion	—	1.00%	6.00%	7.00%	12.00%	11.00%	21.00%	17.00%	16.00%	9.00%
Grasshopper	3.00%	9.00%	12.00%	28.00%	14.00%	9.00%	13.00%	10.00%	2.00%	—
Vaduz	—	—	—	1.00%	2.00%	1.00%	6.00%	15.00%	27.00%	48.00%
Aarau	—	—	2.00%	1.00%	9.00%	10.00%	9.00%	18.00%	26.00%	25.00%

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%	—
Young Boys	100%	—
Zurich	100%	—
Thun	98.00%	2.00%
St. Gallen	95.00%	5.00%
Sion	91.00%	9.00%
Luzern	89.00%	11.00%
Aarau	75.00%	25.00%
Vaduz	52.00%	48.00%

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
2014-07-19	Basel	L 1-2	62.6	1697	1823	25.02%	26.93%	48.05%	-0.59	-4.1	0
2014-07-19	@ Aarau	W 2-1	62.6	1823	1697	48.05%	26.93%	25.02%	+0.59	+4.1	3
2014-07-19	Young Boys	D 2-2	76.3	1705	1737	36.93%	28.28%	34.78%	+0.05	-0.1	1
2014-07-19	@ St. Gallen	D 2-2	76.3	1737	1705	34.78%	28.28%	36.93%	-0.05	+0.0	1
2014-07-20	Grasshopper	W 1-0	60.7	1737	1766	37.15%	28.28%	34.57%	+0.06	+5.7	3
2014-07-20	@ Zurich	L 0-1	60.7	1766	1737	34.57%	28.28%	37.15%	-0.06	-5.7	0
2014-07-20	Sion	D 1-1	70.8	1712	1697	43.51%	27.76%	28.73%	+0.36	-0.5	1
2014-07-20	@ Luzern	D 1-1	70.8	1697	1712	28.73%	27.76%	43.51%	-0.36	+0.5	1
2014-07-20	Vaduz	W 1-0	56.0	1732	1661	50.96%	26.19%	22.86%	+0.73	+4.0	3
2014-07-20	@ Thun	L 0-1	56.0	1661	1732	22.86%	26.19%	50.96%	-0.73	-4.0	0
2014-07-23	Sion	W 1-0	59.0	1693	1697	40.75%	28.08%	31.17%	+0.23	+5.3	3
2014-07-23	@ Aarau	L 0-1	59.0	1697	1693	31.17%	28.08%	40.75%	-0.23	-5.3	1
2014-07-23	Thun	W 2-1	64.2	1742	1736	42.30%	27.92%	29.79%	+0.30	+4.8	6
2014-07-23	@ Zurich	L 1-2	64.2	1736	1742	29.79%	27.92%	42.30%	-0.30	-4.8	3
2014-07-26	St. Gallen	W 1-0	59.4	1692	1705	39.47%	28.18%	32.35%	+0.17	+5.4	4
2014-07-26	@ Sion	L 0-1	59.4	1705	1692	32.35%	28.18%	39.47%	-0.17	-5.4	1
2014-07-26	Thun	L 2-3	73.8	1761	1731	45.49%	27.45%	27.06%	+0.46	-6.2	0
2014-07-26	@ Grasshopper	W 3-2	73.8	1731	1761	27.06%	27.45%	45.49%	-0.46	+6.2	6
2014-07-27	Aarau	D 1-1	71.2	1737	1698	46.71%	27.22%	26.08%	+0.52	-0.7	2
2014-07-27	@ Young Boys	D 1-1	71.2	1698	1737	26.08%	27.22%	46.71%	-0.52	+0.7	4
2014-07-27	Luzern	W 3-0	49.2	1827	1712	56.60%	24.31%	19.09%	+1.03	+9.3	6
2014-07-27	@ Basel	L 0-3	49.2	1712	1827	19.09%	24.31%	56.60%	-1.03	-9.3	1
2014-07-27	Zurich	L 1-4	57.6	1657	1747	29.03%	27.81%	43.16%	-0.35	-11.5	0
2014-07-27	@ Vaduz	W 4-1	57.6	1747	1657	43.16%	27.81%	29.03%	+0.35	+11.5	9
2014-08-02	Basel	L 2-3	68.8	1737	1837	27.95%	27.62%	44.43%	-0.41	-4.3	6
2014-08-02	@ Thun	W 3-2	68.8	1837	1737	44.43%	27.62%	27.95%	+0.41	+4.3	9
2014-08-02	Sion	D 0-0	67.1	1754	1697	49.16%	26.66%	24.18%	+0.64	-0.9	1
2014-08-02	@ Grasshopper	D 0-0	67.1	1697	1754	24.18%	26.66%	49.16%	-0.64	+0.9	5
2014-08-03	Luzern	W 2-1	64.2	1700	1702	41.05%	28.05%	30.90%	+0.24	+4.9	4
2014-08-03	@ St. Gallen	L 1-2	64.2	1702	1700	30.90%	28.05%	41.05%	-0.24	-4.9	1
2014-08-03	Young Boys	W 2-1	63.6	1759	1736	44.50%	27.61%	27.89%	+0.41	+4.5	12
2014-08-03	@ Zurich	L 1-2	63.6	1736	1759	27.89%	27.61%	44.50%	-0.41	-4.5	2
2014-08-06	Vaduz	D 1-1	70.6	1699	1645	48.67%	26.78%	24.55%	+0.62	-0.8	5
2014-08-06	@ Aarau	D 1-1	70.6	1645	1699	24.55%	26.78%	48.67%	-0.62	+0.8	1
2014-08-09	Aarau	D 2-2	76.2	1705	1698	42.35%	27.91%	29.73%	+0.31	-0.3	5
2014-08-09	@ St. Gallen	D 2-2	76.2	1698	1705	29.73%	27.91%	42.35%	-0.31	+0.3	6
2014-08-09	Zurich	W 4-1	55.7	1841	1763	51.86%	25.93%	22.22%	+0.78	+9.1	12
2014-08-09	@ Basel	L 1-4	55.7	1763	1841	22.22%	25.93%	51.86%	-0.78	-9.1	12
2014-08-10	Grasshopper	D 1-1	70.9	1697	1754	33.41%	28.24%	38.35%	-0.12	+0.2	2
2014-08-10	@ Luzern	D 1-1	70.9	1754	1697	38.35%	28.24%	33.41%	+0.12	-0.2	2
2014-08-10	Thun	D 1-1	71.0	1732	1733	41.19%	28.04%	30.78%	+0.25	-0.3	3
2014-08-10	@ Young Boys	D 1-1	71.0	1733	1732	30.78%	28.04%	41.19%	-0.25	+0.3	7
2014-08-10	Vaduz	W 1-0	56.3	1698	1646	48.51%	26.82%	24.67%	+0.61	+4.3	8
2014-08-10	@ Sion	L 0-1	56.3	1646	1698	24.67%	26.82%	48.51%	-0.61	-4.3	1
2014-08-13	Grasshopper	W 4-0	54.2	1731	1753	38.23%	28.24%	33.53%	+0.11	+19.9	6
2014-08-13	@ Young Boys	L 0-4	54.2	1753	1731	33.53%	28.24%	38.23%	-0.11	-19.9	2
2014-08-13	Luzern	D 1-1	70.1	1642	1697	33.46%	28.24%	38.30%	-0.11	+0.1	2
2014-08-13	@ Vaduz	D 1-1	70.1	1697	1642	38.30%	28.24%	33.46%	+0.11	-0.1	3
2014-08-14	St. Gallen	L 0-2	63.3	1850	1705	60.16%	22.86%	16.99%	+1.23	-16.3	12
2014-08-14	@ Basel	W 2-0	63.3	1705	1850	16.99%	22.86%	60.16%	-1.23	+16.4	8
2014-08-16	Grasshopper	L 1-2	66.0	1698	1733	36.35%	28.29%	35.36%	+0.02	-5.6	6
2014-08-16	@ Aarau	W 2-1	66.0	1733	1698	35.36%	28.29%	36.35%	-0.02	+5.6	5
2014-08-16	Zurich	D 1-1	70.9	1697	1754	33.35%	28.23%	38.42%	-0.12	+0.2	4
2014-08-16	@ Luzern	D 1-1	70.9	1754	1697	38.42%	28.23%	33.35%	+0.12	-0.2	13
2014-08-17	Basel	L 2-3	67.4	1703	1834	24.52%	26.78%	48.70%	-0.62	-3.9	8
2014-08-17	@ Sion	W 3-2	67.4	1834	1703	48.70%	26.78%	24.52%	+0.62	+3.9	15
2014-08-17	St. Gallen	W 3-1	60.5	1733	1721	43.08%	27.82%	29.10%	+0.34	+8.1	10
2014-08-17	@ Thun	L 1-3	60.5	1721	1733	29.10%	27.82%	43.08%	-0.34	-8.2	8
2014-08-17	Young Boys	L 0-2	54.0	1642	1751	26.84%	27.40%	45.76%	-0.47	-8.8	2
2014-08-17	@ Vaduz	W 2-0	54.0	1751	1642	45.76%	27.40%	26.84%	+0.47	+8.8	9
2014-08-30	Aarau	D 1-1	70.7	1697	1693	42.06%	27.95%	30.00%	+0.29	-0.4	5
2014-08-30	@ Luzern	D 1-1	70.7	1693	1697	30.00%	27.95%	42.06%	-0.29	+0.4	7
2014-08-30	Sion	W 2-1	62.5	1741	1699	47.23%	27.11%	25.66%	+0.54	+4.2	13
2014-08-30	@ Thun	L 1-2	62.5	1699	1741	25.66%	27.11%	47.23%	-0.54	-4.2	8
2014-08-31	Vaduz	L 0-1	65.1	1739	1633	55.41%	24.76%	19.84%	+0.97	-8.1	5
2014-08-31	@ Grasshopper	W 1-0	65.1	1633	1739	19.84%	24.76%	55.41%	-0.97	+8.1	5
2014-08-31	Young Boys	W 3-1	58.3	1838	1760	51.84%	25.93%	22.23%	+0.78	+6.5	18
2014-08-31	@ Basel	L 1-3	58.3	1760	1838	22.23%	25.93%	51.84%	-0.78	-6.4	9
2014-08-31	Zurich	L 0-2	57.2	1713	1754	35.53%	28.29%	36.18%	-0.02	-10.9	8
2014-08-31	@ St. Gallen	W 2-0	57.2	1754	1713	36.18%	28.29%	35.53%	+0.02	+10.9	16
2014-09-13	Basel	W 3-1	65.9	1731	1844	26.42%	27.30%	46.29%	-0.50	+11.5	8
2014-09-13	@ Grasshopper	L 1-3	65.9	1844	1731	46.29%	27.30%	26.42%	+0.50	-11.5	18
2014-09-13	Thun	W 2-1	66.5	1693	1746	33.91%	28.26%	37.83%	-0.09	+5.7	10
2014-09-13	@ Aarau	L 1-2	66.5	1746	1693	37.83%	28.26%	33.91%	+0.09	-5.7	13
2014-09-14	Luzern	W 3-2	67.0	1753	1697	49.05%	26.69%	24.26%	+0.64	+3.8	12
2014-09-14	@ Young Boys	L 2-3	67.0	1697	1753	24.26%	26.69%	49.05%	-0.64	-3.8	5
2014-09-14	Sion	W 4-1	55.6	1765	1694	50.88%	26.21%	22.91%	+0.73	+9.4	19
2014-09-14	@ Zurich	L 1-4	55.6	1694	1765	22.91%	26.21%	50.88%	-0.73	-9.4	8
2014-09-14	St. Gallen	D 2-2	75.6	1641	1702	32.80%	28.21%	39.00%	-0.15	+0.1	6
2014-09-14	@ Vaduz	D 2-2	75.6	1702	1641	39.00%	28.21%	32.80%	+0.15	-0.1	9
2014-09-23	Luzern	W 3-2	67.3	1740	1693	47.75%	26.99%	25.25%	+0.57	+4.0	16
2014-09-23	@ Thun	L 2-3	67.3	1693	1740	25.25%	26.99%	47.75%	-0.57	-4.0	5
2014-09-23	Vaduz	W 3-1	54.0	1832	1641	65.34%	20.41%	14.24%	+1.54	+4.0	21
2014-09-23	@ Basel	L 1-3	54.0	1641	1832	14.24%	20.41%	65.34%	-1.54	-4.0	6
2014-09-24	Aarau	D 0-0	67.4	1774	1699	51.55%	26.02%	22.43%	+0.76	-1.1	20
2014-09-24	@ Zurich	D 0-0	67.4	1699	1774	22.43%	26.02%	51.55%	-0.76	+1.1	11
2014-09-24	Grasshopper	W 3-0	55.2	1702	1742	35.57%	28.29%	36.14%	-0.01	+16.1	12
2014-09-24	@ St. Gallen	L 0-3	55.2	1742	1702	36.14%	28.29%	35.57%	+0.01	-16.1	8
2014-09-24	Young Boys	L 0-1	59.4	1685	1757	31.29%	28.09%	40.62%	-0.22	-5.3	8
2014-09-24	@ Sion	W 1-0	59.4	1757	1685	40.62%	28.09%	31.29%	+0.22	+5.3	15
2014-09-27	Aarau	W 2-1	63.1	1726	1700	45.06%	27.52%	27.42%	+0.44	+4.5	11
2014-09-27	@ Grasshopper	L 1-2	63.1	1700	1726	27.42%	27.52%	45.06%	-0.44	-4.5	11
2014-09-27	Thun	D 1-1	72.2	1836	1744	53.75%	25.33%	20.92%	+0.88	-1.1	22
2014-09-27	@ Basel	D 1-1	72.2	1744	1836	20.92%	25.33%	53.75%	-0.88	+1.1	17
2014-09-28	Sion	W 1-0	60.0	1637	1680	35.32%	28.29%	36.39%	-0.03	+5.9	9
2014-09-28	@ Vaduz	L 0-1	60.0	1680	1637	36.39%	28.29%	35.32%	+0.03	-5.9	8
2014-09-28	St. Gallen	L 1-2	66.2	1689	1718	37.33%	28.27%	34.39%	+0.07	-5.7	5
2014-09-28	@ Luzern	W 2-1	66.2	1718	1689	34.39%	28.27%	37.33%	-0.07	+5.7	15
2014-09-28	Zurich	W 2-1	65.1	1763	1773	39.88%	28.15%	31.97%	+0.19	+5.0	18
2014-09-28	@ Young Boys	L 1-2	65.1	1773	1763	31.97%	28.15%	39.88%	-0.19	-5.0	20
2014-10-04	Basel	W 2-1	69.1	1723	1835	26.55%	27.33%	46.13%	-0.49	+6.6	18
2014-10-04	@ St. Gallen	L 1-2	69.1	1835	1723	46.13%	27.33%	26.55%	+0.49	-6.6	22
2014-10-04	Grasshopper	W 3-2	68.8	1745	1731	43.33%	27.79%	28.89%	+0.35	+4.4	20
2014-10-04	@ Thun	L 2-3	68.8	1731	1745	28.89%	27.79%	43.33%	-0.35	-4.4	11
2014-10-05	Luzern	W 3-1	60.8	1674	1684	40.00%	28.14%	31.86%	+0.19	+8.7	11
2014-10-05	@ Sion	L 1-3	60.8	1684	1674	31.86%	28.14%	40.00%	-0.19	-8.7	5
2014-10-05	Vaduz	W 3-0	48.3	1768	1643	57.70%	23.88%	18.42%	+1.09	+9.0	23
2014-10-05	@ Zurich	L 0-3	48.3	1643	1768	18.42%	23.88%	57.70%	-1.09	-9.0	9
2014-10-05	Young Boys	W 3-2	72.4	1695	1768	31.28%	28.09%	40.63%	-0.22	+5.7	14
2014-10-05	@ Aarau	L 2-3	72.4	1768	1695	40.63%	28.09%	31.28%	+0.22	-5.7	18
2014-10-18	Basel	L 0-1	60.1	1762	1829	31.98%	28.15%	39.88%	-0.19	-5.4	18
2014-10-18	@ Young Boys	W 1-0	60.1	1829	1762	39.88%	28.15%	31.98%	+0.19	+5.4	25
2014-10-18	St. Gallen	L 0-3	55.4	1701	1730	37.24%	28.28%	34.48%	+0.06	-16.4	14
2014-10-18	@ Aarau	W 3-0	55.4	1730	1701	34.48%	28.28%	37.24%	-0.06	+16.4	21
2014-10-19	Thun	D 0-0	66.6	1683	1749	32.01%	28.15%	39.84%	-0.19	+0.3	12
2014-10-19	@ Sion	D 0-0	66.6	1749	1683	39.84%	28.15%	32.01%	+0.19	-0.3	21
2014-10-19	Vaduz	D 0-0	65.9	1675	1634	46.97%	27.16%	25.87%	+0.53	-0.8	6
2014-10-19	@ Luzern	D 0-0	65.9	1634	1675	25.87%	27.16%	46.97%	-0.53	+0.8	10
2014-10-19	Zurich	L 1-3	62.4	1726	1777	34.18%	28.27%	37.55%	-0.08	-9.2	11
2014-10-19	@ Grasshopper	W 3-1	62.4	1777	1726	37.55%	28.27%	34.18%	+0.08	+9.2	26
2014-10-25	Aarau	D 0-0	67.1	1749	1685	50.12%	26.42%	23.46%	+0.69	-1.0	22
2014-10-25	@ Thun	D 0-0	67.1	1685	1749	23.46%	26.42%	50.12%	-0.69	+1.0	15
2014-10-25	Sion	D 1-1	72.9	1834	1683	60.83%	22.56%	16.61%	+1.27	-1.5	26
2014-10-25	@ Basel	D 1-1	72.9	1683	1834	16.61%	22.56%	60.83%	-1.27	+1.5	13
2014-10-26	Grasshopper	D 1-1	70.3	1635	1717	30.02%	27.95%	42.03%	-0.29	+0.4	11
2014-10-26	@ Vaduz	D 1-1	70.3	1717	1635	42.03%	27.95%	30.02%	+0.29	-0.4	12
2014-10-26	St. Gallen	D 1-1	71.5	1786	1747	46.83%	27.19%	25.98%	+0.52	-0.7	27
2014-10-26	@ Zurich	D 1-1	71.5	1747	1786	25.98%	27.19%	46.83%	-0.52	+0.7	22
2014-11-01	Grasshopper	W 2-0	51.4	1833	1717	56.61%	24.31%	19.08%	+1.03	+6.4	29
2014-11-01	@ Basel	L 0-2	51.4	1717	1833	19.08%	24.31%	56.61%	-1.03	-6.4	12
2014-11-01	Luzern	L 2-3	75.9	1786	1674	56.06%	24.51%	19.42%	+1.00	-7.3	27
2014-11-01	@ Zurich	W 3-2	75.9	1674	1786	19.42%	24.51%	56.06%	-1.00	+7.3	9
2014-11-02	Aarau	D 2-2	75.9	1684	1686	41.21%	28.03%	30.75%	+0.25	-0.2	14
2014-11-02	@ Sion	D 2-2	75.9	1686	1684	30.75%	28.03%	41.21%	-0.25	+0.2	16
2014-11-02	Thun	W 1-0	59.4	1747	1748	41.25%	28.03%	30.72%	+0.25	+5.2	25
2014-11-02	@ St. Gallen	L 0-1	59.4	1748	1747	30.72%	28.03%	41.25%	-0.25	-5.2	22
2014-11-02	Vaduz	L 0-1	65.6	1756	1635	57.26%	24.06%	18.68%	+1.07	-8.3	18
2014-11-02	@ Young Boys	W 1-0	65.6	1635	1756	18.68%	24.06%	57.26%	-1.07	+8.4	14
2014-11-08	St. Gallen	W 3-0	55.3	1710	1752	35.39%	28.29%	36.32%	-0.02	+16.1	15
2014-11-08	@ Grasshopper	L 0-3	55.3	1752	1710	36.32%	28.29%	35.39%	+0.02	-16.1	25
2014-11-08	Thun	D 0-0	66.5	1682	1743	32.72%	28.20%	39.08%	-0.15	+0.2	10
2014-11-08	@ Luzern	D 0-0	66.5	1743	1682	39.08%	28.20%	32.72%	+0.15	-0.2	23
2014-11-09	Basel	L 0-4	48.6	1644	1839	18.93%	24.22%	56.85%	-1.05	-12.1	14
2014-11-09	@ Vaduz	W 4-0	48.6	1839	1644	56.85%	24.22%	18.93%	+1.05	+12.1	32
2014-11-09	Sion	W 2-1	61.6	1748	1684	50.06%	26.43%	23.51%	+0.69	+3.9	21
2014-11-09	@ Young Boys	L 1-2	61.6	1684	1748	23.51%	26.43%	50.06%	-0.69	-3.9	14
2014-11-09	Zurich	L 0-1	58.6	1686	1778	28.79%	27.77%	43.44%	-0.36	-4.9	16
2014-11-09	@ Aarau	W 1-0	58.6	1778	1686	43.44%	27.77%	28.79%	+0.36	+4.9	30
2014-11-22	Luzern	W 3-2	67.2	1727	1682	47.53%	27.04%	25.43%	+0.56	+4.0	18
2014-11-22	@ Grasshopper	L 2-3	67.2	1682	1727	25.43%	27.04%	47.53%	-0.56	-4.0	10
2014-11-22	Zurich	L 1-3	60.0	1680	1783	27.56%	27.55%	44.89%	-0.43	-7.8	14
2014-11-22	@ Sion	W 3-1	60.0	1783	1680	44.89%	27.55%	27.56%	+0.43	+7.8	33
2014-11-23	Aarau	W 3-0	47.3	1851	1681	63.01%	21.55%	15.44%	+1.40	+7.4	35
2014-11-23	@ Basel	L 0-3	47.3	1681	1851	15.44%	21.55%	63.01%	-1.40	-7.4	16
2014-11-23	Vaduz	D 3-3	80.8	1736	1632	55.23%	24.82%	19.95%	+0.96	-0.7	26
2014-11-23	@ St. Gallen	D 3-3	80.8	1632	1736	19.95%	24.82%	55.23%	-0.96	+0.7	15
2014-11-23	Young Boys	L 0-1	62.2	1743	1752	40.04%	28.14%	31.82%	+0.20	-6.3	23
2014-11-23	@ Thun	W 1-0	62.2	1752	1743	31.82%	28.14%	40.04%	-0.20	+6.3	24
2014-11-29	Grasshopper	D 3-3	80.1	1672	1731	33.15%	28.23%	38.62%	-0.13	+0.1	15
2014-11-29	@ Sion	D 3-3	80.1	1731	1672	38.62%	28.23%	33.15%	+0.13	-0.1	19
2014-11-29	Luzern	L 0-3	55.8	1673	1678	40.77%	28.08%	31.15%	+0.23	-17.6	16
2014-11-29	@ Aarau	W 3-0	55.8	1678	1673	31.15%	28.08%	40.77%	-0.23	+17.6	13
2014-11-30	Basel	L 1-2	65.3	1791	1858	31.89%	28.14%	39.97%	-0.19	-5.1	33
2014-11-30	@ Zurich	W 2-1	65.3	1858	1791	39.97%	28.14%	31.89%	+0.19	+5.0	38
2014-11-30	St. Gallen	W 4-2	64.2	1758	1736	44.55%	27.61%	27.85%	+0.41	+7.0	27
2014-11-30	@ Young Boys	L 2-4	64.2	1736	1758	27.85%	27.61%	44.55%	-0.41	-7.0	26
2014-11-30	Thun	L 0-1	57.6	1632	1736	27.44%	27.53%	45.03%	-0.44	-4.8	15
2014-11-30	@ Vaduz	W 1-0	57.6	1736	1632	45.03%	27.53%	27.44%	+0.44	+4.8	26
2014-12-03	Young Boys	L 1-2	64.7	1695	1765	31.56%	28.11%	40.33%	-0.21	-5.0	13
2014-12-03	@ Luzern	W 2-1	64.7	1765	1695	40.33%	28.11%	31.56%	+0.21	+5.0	30
2014-12-06	Basel	L 0-3	50.0	1690	1864	20.67%	25.21%	54.12%	-0.90	-10.1	13
2014-12-06	@ Luzern	W 3-0	50.0	1864	1690	54.12%	25.21%	20.67%	+0.90	+10.1	41
2014-12-06	Young Boys	L 0-1	61.0	1730	1770	35.68%	28.29%	36.03%	-0.01	-5.8	19
2014-12-06	@ Grasshopper	W 1-0	61.0	1770	1730	36.03%	28.29%	35.68%	+0.01	+5.8	33
2014-12-07	Aarau	W 1-0	58.9	1628	1656	37.36%	28.27%	34.37%	+0.07	+5.7	18
2014-12-07	@ Vaduz	L 0-1	58.9	1656	1628	34.37%	28.27%	37.36%	-0.07	-5.7	16
2014-12-07	Sion	W 2-0	53.0	1729	1673	49.01%	26.70%	24.29%	+0.63	+8.1	29
2014-12-07	@ St. Gallen	L 0-2	53.0	1673	1729	24.29%	26.70%	49.01%	-0.63	-8.1	15
2014-12-07	Zurich	W 2-1	66.5	1741	1786	34.99%	28.29%	36.72%	-0.04	+5.6	29
2014-12-07	@ Thun	L 1-2	66.5	1786	1741	36.72%	28.29%	34.99%	+0.04	-5.6	33
2015-02-07	Young Boys	D 1-1	71.1	1680	1776	28.35%	27.70%	43.95%	-0.38	+0.5	14
2015-02-07	@ Luzern	D 1-1	71.1	1776	1680	43.95%	27.70%	28.35%	+0.38	-0.5	34
2015-02-07	Zurich	L 1-4	60.1	1737	1780	35.15%	28.29%	36.56%	-0.03	-13.3	29
2015-02-07	@ St. Gallen	W 4-1	60.1	1780	1737	36.56%	28.29%	35.15%	+0.03	+13.3	36
2015-02-08	Aarau	D 1-1	71.5	1747	1650	54.21%	25.18%	20.61%	+0.90	-1.1	30
2015-02-08	@ Thun	D 1-1	71.5	1650	1747	20.61%	25.18%	54.21%	-0.90	+1.1	17
2015-02-08	Basel	L 2-4	62.6	1725	1874	22.80%	26.17%	51.03%	-0.74	-5.9	19
2015-02-08	@ Grasshopper	W 4-2	62.6	1874	1725	51.03%	26.17%	22.80%	+0.74	+5.9	44
2015-02-14	Grasshopper	W 4-2	62.9	1776	1719	49.15%	26.67%	24.18%	+0.64	+6.2	37
2015-02-14	@ Young Boys	L 2-4	62.9	1719	1776	24.18%	26.67%	49.15%	-0.64	-6.2	19
2015-02-14	Sion	D 1-1	74.0	1880	1664	67.91%	19.09%	12.99%	+1.70	-1.9	45
2015-02-14	@ Basel	D 1-1	74.0	1664	1880	12.99%	19.09%	67.91%	-1.70	+1.9	16
2015-02-15	Luzern	D 0-0	66.7	1723	1681	47.23%	27.11%	25.66%	+0.54	-0.8	30
2015-02-15	@ St. Gallen	D 0-0	66.7	1681	1723	25.66%	27.11%	47.23%	-0.54	+0.8	15
2015-02-15	Thun	L 0-1	64.4	1794	1746	47.95%	26.95%	25.10%	+0.58	-7.3	36
2015-02-15	@ Zurich	W 1-0	64.4	1746	1794	25.10%	26.95%	47.95%	-0.58	+7.3	33
2015-02-15	Vaduz	L 0-1	61.6	1651	1633	43.89%	27.71%	28.40%	+0.38	-6.8	17
2015-02-15	@ Aarau	W 1-0	61.6	1633	1651	28.40%	27.71%	43.89%	-0.38	+6.8	21
2015-02-21	Zurich	L 0-2	56.0	1712	1786	31.08%	28.07%	40.85%	-0.23	-9.9	19
2015-02-21	@ Grasshopper	W 2-0	56.0	1786	1712	40.85%	28.07%	31.08%	+0.23	+9.9	39
2015-02-22	Aarau	W 4-0	50.6	1681	1645	46.46%	27.26%	26.28%	+0.51	+16.4	18
2015-02-22	@ Luzern	L 0-4	50.6	1645	1681	26.28%	27.26%	46.46%	-0.51	-16.4	17
2015-02-22	Basel	W 4-2	69.4	1782	1878	28.40%	27.71%	43.90%	-0.38	+9.9	40
2015-02-22	@ Young Boys	L 2-4	69.4	1878	1782	43.90%	27.71%	28.40%	+0.38	-9.9	45
2015-02-22	Thun	D 1-1	70.9	1640	1753	26.46%	27.31%	46.23%	-0.50	+0.6	22
2015-02-22	@ Vaduz	D 1-1	70.9	1753	1640	46.23%	27.31%	26.46%	+0.50	-0.6	34
2015-02-25	Sion	L 0-2	56.7	1641	1666	37.73%	28.26%	34.01%	+0.09	-11.4	22
2015-02-25	@ Vaduz	W 2-0	56.7	1666	1641	34.01%	28.26%	37.73%	-0.09	+11.4	19
2015-02-28	Aarau	D 0-0	68.5	1796	1628	62.76%	21.67%	15.57%	+1.38	-1.8	40
2015-02-28	@ Zurich	D 0-0	68.5	1628	1796	15.57%	21.67%	62.76%	-1.38	+1.8	18
2015-02-28	Vaduz	W 1-0	50.7	1868	1629	70.34%	17.79%	11.87%	+1.86	+2.0	48
2015-02-28	@ Basel	L 0-1	50.7	1629	1868	11.87%	17.79%	70.34%	-1.86	-2.0	22
2015-03-01	Grasshopper	D 1-1	71.0	1723	1703	44.15%	27.67%	28.19%	+0.39	-0.5	31
2015-03-01	@ St. Gallen	D 1-1	71.0	1703	1723	28.19%	27.67%	44.15%	-0.39	+0.5	20
2015-03-01	Luzern	D 2-2	75.9	1678	1698	38.53%	28.23%	33.24%	+0.12	-0.1	20
2015-03-01	@ Sion	D 2-2	75.9	1698	1678	33.24%	28.23%	38.53%	-0.12	+0.1	19
2015-03-01	Young Boys	D 0-0	67.0	1752	1792	35.72%	28.29%	35.99%	-0.01	+0.0	35
2015-03-01	@ Thun	D 0-0	67.0	1792	1752	35.99%	28.29%	35.72%	+0.01	-0.0	41
2015-03-07	Luzern	W 1-0	58.7	1703	1698	42.09%	27.94%	29.97%	+0.29	+5.1	23
2015-03-07	@ Grasshopper	L 0-1	58.7	1698	1703	29.97%	27.94%	42.09%	-0.29	-5.1	19
2015-03-07	Thun	W 3-0	49.3	1870	1752	56.82%	24.23%	18.95%	+1.05	+9.2	51
2015-03-07	@ Basel	L 0-3	49.3	1752	1870	18.95%	24.23%	56.82%	-1.05	-9.2	35
2015-03-08	Sion	W 3-2	64.9	1792	1678	56.41%	24.38%	19.20%	+1.02	+3.1	44
2015-03-08	@ Young Boys	L 2-3	64.9	1678	1792	19.20%	24.38%	56.41%	-1.02	-3.1	20
2015-03-08	St. Gallen	L 0-2	54.3	1630	1722	28.83%	27.78%	43.40%	-0.36	-9.3	18
2015-03-08	@ Aarau	W 2-0	54.3	1722	1630	43.40%	27.78%	28.83%	+0.36	+9.3	34
2015-03-08	Zurich	D 2-2	77.0	1627	1794	21.19%	25.46%	53.35%	-0.86	+0.8	23
2015-03-08	@ Vaduz	D 2-2	77.0	1794	1627	53.35%	25.46%	21.19%	+0.86	-0.8	41
2015-03-14	Grasshopper	D 2-2	76.6	1743	1708	46.17%	27.32%	26.51%	+0.49	-0.5	36
2015-03-14	@ Thun	D 2-2	76.6	1708	1743	26.51%	27.32%	46.17%	-0.49	+0.5	24
2015-03-14	Vaduz	W 2-0	52.0	1693	1628	50.17%	26.41%	23.43%	+0.69	+7.8	22
2015-03-14	@ Luzern	L 0-2	52.0	1628	1693	23.43%	26.41%	50.17%	-0.69	-7.8	23
2015-03-15	Basel	D 2-2	77.4	1731	1879	22.93%	26.22%	50.85%	-0.73	+0.7	35
2015-03-15	@ St. Gallen	D 2-2	77.4	1879	1731	50.85%	26.22%	22.93%	+0.73	-0.7	52
2015-03-15	Sion	L 0-1	66.0	1794	1675	57.00%	24.16%	18.84%	+1.06	-8.3	41
2015-03-15	@ Zurich	W 1-0	66.0	1675	1794	18.84%	24.16%	57.00%	-1.06	+8.3	23
2015-03-15	Young Boys	D 1-1	71.7	1621	1795	20.58%	25.16%	54.25%	-0.91	+1.1	19
2015-03-15	@ Aarau	D 1-1	71.7	1795	1621	54.25%	25.16%	20.58%	+0.91	-1.1	45
2015-03-18	St. Gallen	W 3-0	55.4	1683	1732	34.39%	28.27%	37.34%	-0.07	+16.5	26
2015-03-18	@ Sion	L 0-3	55.4	1732	1683	37.34%	28.27%	34.39%	+0.07	-16.5	35
2015-03-21	Aarau	W 3-1	56.7	1709	1622	53.01%	25.57%	21.42%	+0.84	+6.2	27
2015-03-21	@ Grasshopper	L 1-3	56.7	1622	1709	21.42%	25.57%	53.01%	-0.84	-6.2	19
2015-03-21	Basel	L 1-4	54.8	1701	1878	20.32%	25.02%	54.66%	-0.93	-8.4	22
2015-03-21	@ Luzern	W 4-1	54.8	1878	1701	54.66%	25.02%	20.32%	+0.93	+8.4	55
2015-03-22	St. Gallen	W 3-1	64.1	1620	1716	28.44%	27.71%	43.85%	-0.38	+11.1	26
2015-03-22	@ Vaduz	L 1-3	64.1	1716	1620	43.85%	27.71%	28.44%	+0.38	-11.1	35
2015-03-22	Thun	W 3-0	55.3	1699	1742	35.23%	28.29%	36.48%	-0.03	+16.2	29
2015-03-22	@ Sion	L 0-3	55.3	1742	1699	36.48%	28.29%	35.23%	+0.03	-16.2	36
2015-03-22	Zurich	W 3-0	53.5	1794	1785	42.57%	27.89%	29.55%	+0.32	+13.8	48
2015-03-22	@ Young Boys	L 0-3	53.5	1785	1794	29.55%	27.89%	42.57%	-0.32	-13.8	41
2015-04-03	Grasshopper	L 0-5	56.9	1716	1715	41.47%	28.01%	30.52%	+0.26	-28.6	29
2015-04-03	@ Sion	W 5-0	56.9	1715	1716	30.52%	28.01%	41.47%	-0.26	+28.6	30
2015-04-03	Young Boys	L 0-1	55.2	1631	1808	20.42%	25.07%	54.51%	-0.92	-3.6	26
2015-04-03	@ Vaduz	W 1-0	55.2	1808	1631	54.51%	25.07%	20.42%	+0.92	+3.6	51
2015-04-04	Aarau	W 6-0	45.2	1887	1616	73.55%	16.01%	10.44%	+2.07	+8.8	58
2015-04-04	@ Basel	L 0-6	45.2	1616	1887	10.44%	16.01%	73.55%	-2.07	-8.8	19
2015-04-04	Luzern	L 0-1	65.0	1771	1692	52.02%	25.88%	22.10%	+0.79	-7.8	41
2015-04-04	@ Zurich	W 1-0	65.0	1692	1771	22.10%	25.88%	52.02%	-0.79	+7.8	25
2015-04-04	St. Gallen	W 4-1	57.4	1726	1705	44.40%	27.63%	27.97%	+0.41	+11.2	39
2015-04-04	@ Thun	L 1-4	57.4	1705	1726	27.97%	27.63%	44.40%	-0.41	-11.2	35
2015-04-11	Luzern	W 1-0	57.6	1737	1700	46.52%	27.25%	26.23%	+0.51	+4.6	42
2015-04-11	@ Thun	L 0-1	57.6	1700	1737	26.23%	27.25%	46.52%	-0.51	-4.6	25
2015-04-11	Young Boys	W 3-1	65.9	1693	1811	25.90%	27.17%	46.93%	-0.53	+11.7	38
2015-04-11	@ St. Gallen	L 1-3	65.9	1811	1693	46.93%	27.17%	25.90%	+0.53	-11.7	51
2015-04-12	Sion	L 0-1	57.7	1607	1687	30.28%	27.98%	41.74%	-0.28	-5.1	19
2015-04-12	@ Aarau	W 1-0	57.7	1687	1607	41.74%	27.98%	30.28%	+0.28	+5.1	32
2015-04-12	Vaduz	D 1-1	71.6	1744	1628	56.61%	24.31%	19.08%	+1.03	-1.3	31
2015-04-12	@ Grasshopper	D 1-1	71.6	1628	1744	19.08%	24.31%	56.61%	-1.03	+1.3	27
2015-04-12	Zurich	W 5-1	52.4	1895	1764	58.53%	23.55%	17.93%	+1.14	+9.5	61
2015-04-12	@ Basel	L 1-5	52.4	1764	1895	17.93%	23.55%	58.53%	-1.14	-9.5	41
2015-04-18	Basel	L 0-1	54.3	1692	1905	17.67%	23.37%	58.96%	-1.17	-3.1	32
2015-04-18	@ Sion	W 1-0	54.3	1905	1692	58.96%	23.37%	17.67%	+1.17	+3.1	64
2015-04-18	St. Gallen	L 1-2	69.3	1754	1705	48.11%	26.91%	24.97%	+0.59	-6.9	41
2015-04-18	@ Zurich	W 2-1	69.3	1705	1754	24.97%	26.91%	48.11%	-0.59	+6.9	41
2015-04-19	Aarau	L 0-2	57.5	1629	1602	45.16%	27.50%	27.33%	+0.44	-13.1	27
2015-04-19	@ Vaduz	W 2-0	57.5	1602	1629	27.33%	27.50%	45.16%	-0.44	+13.1	22
2015-04-19	Grasshopper	W 2-0	57.5	1696	1742	34.72%	28.28%	37.00%	-0.05	+11.3	28
2015-04-19	@ Luzern	L 0-2	57.5	1742	1696	37.00%	28.28%	34.72%	+0.05	-11.3	31
2015-04-19	Thun	W 4-0	51.0	1800	1742	49.22%	26.65%	24.13%	+0.64	+15.2	54
2015-04-19	@ Young Boys	L 0-4	51.0	1742	1800	24.13%	26.65%	49.22%	-0.64	-15.2	42
2015-04-25	Sion	W 2-1	62.6	1727	1689	46.59%	27.24%	26.17%	+0.51	+4.3	45
2015-04-25	@ Thun	L 1-2	62.6	1689	1727	26.17%	27.24%	46.59%	-0.51	-4.3	32
2015-04-25	Zurich	D 0-0	66.5	1615	1747	24.37%	26.73%	48.90%	-0.63	+0.9	23
2015-04-25	@ Aarau	D 0-0	66.5	1747	1615	48.90%	26.73%	24.37%	+0.63	-0.9	42
2015-04-26	Luzern	L 1-2	73.1	1908	1707	66.44%	19.86%	13.70%	+1.61	-8.8	64
2015-04-26	@ Basel	W 2-1	73.1	1707	1908	13.70%	19.86%	66.44%	-1.61	+8.8	31
2015-04-26	Vaduz	L 1-2	69.6	1712	1616	54.16%	25.19%	20.65%	+0.90	-7.5	41
2015-04-26	@ St. Gallen	W 2-1	69.6	1616	1712	20.65%	25.19%	54.16%	-0.90	+7.5	30
2015-04-26	Young Boys	D 2-2	76.8	1731	1815	29.82%	27.92%	42.26%	-0.30	+0.3	32
2015-04-26	@ Grasshopper	D 2-2	76.8	1815	1731	42.26%	27.92%	29.82%	+0.30	-0.3	55
2015-04-28	Zurich	L 1-2	64.9	1685	1746	32.65%	28.20%	39.16%	-0.15	-5.1	32
2015-04-28	@ Sion	W 2-1	64.9	1746	1685	39.16%	28.20%	32.65%	+0.15	+5.1	45
2015-04-29	Aarau	D 2-2	78.7	1815	1616	66.19%	19.98%	13.82%	+1.59	-1.3	56
2015-04-29	@ Young Boys	D 2-2	78.7	1616	1815	13.82%	19.98%	66.19%	-1.59	+1.3	24
2015-04-29	Basel	L 1-3	53.9	1623	1899	13.86%	20.02%	66.12%	-1.59	-3.9	30
2015-04-29	@ Vaduz	W 3-1	53.9	1899	1623	66.12%	20.02%	13.86%	+1.59	+3.9	67
2015-04-29	Thun	D 0-0	66.8	1731	1731	41.40%	28.02%	30.58%	+0.26	-0.4	33
2015-04-29	@ Grasshopper	D 0-0	66.8	1731	1731	30.58%	28.02%	41.40%	-0.26	+0.4	46
2015-04-30	St. Gallen	W 6-2	58.3	1716	1704	42.94%	27.84%	29.22%	+0.33	+12.7	34
2015-04-30	@ Luzern	L 2-6	58.3	1704	1716	29.22%	27.84%	42.94%	-0.33	-12.6	41
2015-05-02	Grasshopper	W 2-1	58.3	1903	1731	63.23%	21.45%	15.32%	+1.41	+2.5	70
2015-05-02	@ Basel	L 1-2	58.3	1731	1903	15.32%	21.45%	63.23%	-1.41	-2.5	33
2015-05-02	Vaduz	W 4-0	48.0	1731	1620	56.13%	24.49%	19.38%	+1.01	+12.3	49
2015-05-02	@ Thun	L 0-4	48.0	1620	1731	19.38%	24.49%	56.13%	-1.01	-12.3	30
2015-05-03	Luzern	L 2-6	56.8	1617	1728	26.61%	27.34%	46.04%	-0.49	-11.7	24
2015-05-03	@ Aarau	W 6-2	56.8	1728	1617	46.04%	27.34%	26.61%	+0.49	+11.7	37
2015-05-03	Sion	L 0-1	62.4	1692	1679	43.08%	27.82%	29.10%	+0.34	-6.7	41
2015-05-03	@ St. Gallen	W 1-0	62.4	1679	1692	29.10%	27.82%	43.08%	-0.34	+6.7	35
2015-05-03	Young Boys	L 0-1	60.2	1752	1813	32.68%	28.20%	39.12%	-0.15	-5.4	45
2015-05-03	@ Zurich	W 1-0	60.2	1813	1752	39.12%	28.20%	32.68%	+0.15	+5.5	59
2015-05-09	Grasshopper	L 0-1	56.5	1605	1728	25.34%	27.02%	47.64%	-0.57	-4.4	24
2015-05-09	@ Aarau	W 1-0	56.5	1728	1605	47.64%	27.02%	25.34%	+0.57	+4.4	36
2015-05-09	Vaduz	W 4-0	48.5	1686	1607	52.00%	25.88%	22.11%	+0.79	+14.1	38
2015-05-09	@ Sion	L 0-4	48.5	1607	1686	22.11%	25.88%	52.00%	-0.79	-14.1	30
2015-05-10	Basel	L 1-2	61.5	1746	1906	21.85%	25.77%	52.38%	-0.81	-3.7	45
2015-05-10	@ Zurich	W 2-1	61.5	1906	1746	52.38%	25.77%	21.85%	+0.81	+3.7	73
2015-05-10	St. Gallen	W 3-1	56.0	1819	1685	58.76%	23.45%	17.79%	+1.15	+5.2	62
2015-05-10	@ Young Boys	L 1-3	56.0	1685	1819	17.79%	23.45%	58.76%	-1.15	-5.2	41
2015-05-10	Thun	D 0-0	66.9	1740	1744	40.83%	28.07%	31.10%	+0.23	-0.3	38
2015-05-10	@ Luzern	D 0-0	66.9	1744	1740	31.10%	28.07%	40.83%	-0.23	+0.3	50
2015-05-16	Aarau	W 1-0	54.0	1700	1601	54.60%	25.04%	20.36%	+0.93	+3.6	41
2015-05-16	@ Sion	L 0-1	54.0	1601	1700	20.36%	25.04%	54.60%	-0.93	-3.6	24
2015-05-16	Luzern	L 0-2	51.9	1593	1740	23.03%	26.26%	50.71%	-0.72	-7.7	30
2015-05-16	@ Vaduz	W 2-0	51.9	1740	1593	50.71%	26.26%	23.03%	+0.72	+7.7	41
2015-05-17	St. Gallen	W 2-0	53.2	1733	1680	48.62%	26.80%	24.59%	+0.61	+8.2	39
2015-05-17	@ Grasshopper	L 0-2	53.2	1680	1733	24.59%	26.80%	48.62%	-0.61	-8.2	41
2015-05-17	Young Boys	D 0-0	68.0	1909	1824	52.83%	25.63%	21.54%	+0.83	-1.1	74
2015-05-17	@ Basel	D 0-0	68.0	1824	1909	21.54%	25.63%	52.83%	-0.83	+1.2	63
2015-05-17	Zurich	D 2-2	76.6	1744	1742	41.61%	27.99%	30.40%	+0.27	-0.3	51
2015-05-17	@ Thun	D 2-2	76.6	1742	1744	30.40%	27.99%	41.61%	-0.27	+0.3	46
2015-05-20	Basel	W 2-1	73.3	1597	1908	12.10%	18.07%	69.83%	-1.82	+9.1	27
2015-05-20	@ Aarau	L 1-2	73.3	1908	1597	69.83%	18.07%	12.10%	+1.82	-9.1	74
2015-05-20	Sion	D 0-0	66.9	1741	1704	46.50%	27.26%	26.25%	+0.51	-0.7	40
2015-05-20	@ Grasshopper	D 0-0	66.9	1704	1741	26.25%	27.26%	46.50%	-0.51	+0.7	42
2015-05-20	Thun	W 2-1	67.2	1672	1744	31.29%	28.09%	40.62%	-0.22	+6.0	44
2015-05-20	@ St. Gallen	L 1-2	67.2	1744	1672	40.62%	28.09%	31.29%	+0.22	-6.0	51
2015-05-21	Luzern	L 0-1	65.3	1825	1747	51.83%	25.93%	22.23%	+0.78	-7.7	63
2015-05-21	@ Young Boys	W 1-0	65.3	1747	1825	22.23%	25.93%	51.83%	-0.78	+7.7	44
2015-05-21	Vaduz	D 2-2	77.2	1743	1585	61.53%	22.24%	16.23%	+1.31	-1.2	47
2015-05-21	@ Zurich	D 2-2	77.2	1585	1743	16.23%	22.24%	61.53%	-1.31	+1.1	31
2015-05-25	Aarau	W 5-1	52.7	1678	1606	51.04%	26.17%	22.79%	+0.74	+12.1	47
2015-05-25	@ St. Gallen	L 1-5	52.7	1606	1678	22.79%	26.17%	51.04%	-0.74	-12.0	27
2015-05-25	Basel	D 2-2	77.6	1738	1899	21.70%	25.70%	52.60%	-0.82	+0.8	52
2015-05-25	@ Thun	D 2-2	77.6	1899	1738	52.60%	25.70%	21.70%	+0.82	-0.8	75
2015-05-25	Grasshopper	L 0-1	55.2	1587	1740	22.37%	25.99%	51.64%	-0.77	-4.0	31
2015-05-25	@ Vaduz	W 1-0	55.2	1740	1587	51.64%	25.99%	22.37%	+0.77	+4.0	43
2015-05-25	Young Boys	W 6-2	63.7	1705	1817	26.47%	27.31%	46.22%	-0.49	+17.9	45
2015-05-25	@ Sion	L 2-6	63.7	1817	1705	46.22%	27.31%	26.47%	+0.49	-17.9	63
2015-05-25	Zurich	L 0-1	63.1	1755	1742	43.25%	27.80%	28.96%	+0.35	-6.7	44
2015-05-25	@ Luzern	W 1-0	63.1	1742	1755	28.96%	27.80%	43.25%	-0.35	+6.7	50
2015-05-29	Grasshopper	W 4-3	72.2	1748	1744	41.94%	27.96%	30.10%	+0.29	+4.5	53
2015-05-29	@ Zurich	L 3-4	72.2	1744	1748	30.10%	27.96%	41.94%	-0.29	-4.5	43
2015-05-29	Sion	W 3-0	52.5	1748	1722	44.96%	27.54%	27.50%	+0.43	+13.0	47
2015-05-29	@ Luzern	L 0-3	52.5	1722	1748	27.50%	27.54%	44.96%	-0.43	-13.0	45
2015-05-29	St. Gallen	W 4-3	64.8	1898	1690	67.22%	19.46%	13.33%	+1.65	+2.0	78
2015-05-29	@ Basel	L 3-4	64.8	1690	1898	13.33%	19.46%	67.22%	-1.65	-2.0	47
2015-05-29	Thun	W 3-2	73.9	1594	1739	23.22%	26.33%	50.45%	-0.71	+6.8	30
2015-05-29	@ Aarau	L 2-3	73.9	1739	1594	50.45%	26.33%	23.22%	+0.71	-6.8	52
2015-05-29	Vaduz	W 2-1	55.9	1799	1583	68.10%	19.00%	12.91%	+1.71	+2.1	66
2015-05-29	@ Young Boys	L 1-2	55.9	1583	1799	12.91%	19.00%	68.10%	-1.71	-2.0	31

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	2015-05-20	12.10%	@ Aarau	1597	2	Basel	1908	1
2	2015-04-26	13.70%	Luzern	1707	2	@ Basel	1908	1
3	2014-08-14	16.99%	St. Gallen	1705	2	@ Basel	1850	0
4	2014-11-02	18.68%	Vaduz	1635	1	@ Young Boys	1756	0
5	2015-03-15	18.84%	Sion	1675	1	@ Zurich	1794	0
6	2014-11-01	19.42%	Luzern	1674	3	@ Zurich	1786	2
7	2014-08-31	19.84%	Vaduz	1633	1	@ Grasshopper	1739	0
8	2015-04-26	20.65%	Vaduz	1616	2	@ St. Gallen	1712	1
9	2015-04-04	22.10%	Luzern	1692	1	@ Zurich	1771	0
10	2015-05-21	22.23%	Luzern	1747	1	@ Young Boys	1825	0
11	2015-05-29	23.22%	@ Aarau	1594	3	Thun	1739	2
12	2015-04-18	24.97%	St. Gallen	1705	2	@ Zurich	1754	1
13	2015-02-15	25.10%	Thun	1746	1	@ Zurich	1794	0
14	2015-04-11	25.90%	@ St. Gallen	1693	3	Young Boys	1811	1
15	2014-09-13	26.42%	@ Grasshopper	1731	3	Basel	1844	1
16	2015-05-25	26.47%	@ Sion	1705	6	Young Boys	1817	2
17	2014-10-04	26.55%	@ St. Gallen	1723	2	Basel	1835	1
18	2014-07-26	27.06%	Thun	1731	3	@ Grasshopper	1761	2
19	2015-04-19	27.33%	Aarau	1602	2	@ Vaduz	1629	0
20	2015-02-15	28.40%	Vaduz	1633	1	@ Aarau	1651	0
21	2015-02-22	28.40%	@ Young Boys	1782	4	Basel	1878	2
22	2015-03-22	28.44%	@ Vaduz	1620	3	St. Gallen	1716	1
23	2015-05-25	28.96%	Zurich	1742	1	@ Luzern	1755	0
24	2015-05-03	29.10%	Sion	1679	1	@ St. Gallen	1692	0
25	2015-04-03	30.52%	Grasshopper	1715	5	@ Sion	1716	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	2015-04-03	28.64	Grasshopper	5	1715	30.52%	@ Sion	0	1716	41.47%	28.01%
2	2014-08-13	19.88	@ Young Boys	4	1731	38.23%	Grasshopper	0	1753	33.53%	28.24%
3	2015-05-25	17.86	@ Sion	6	1705	26.47%	Young Boys	2	1817	46.22%	27.31%
4	2014-11-29	17.57	Luzern	3	1678	31.15%	@ Aarau	0	1673	40.77%	28.08%
5	2015-03-18	16.46	@ Sion	3	1683	34.39%	St. Gallen	0	1732	37.34%	28.27%
6	2014-10-18	16.43	St. Gallen	3	1730	34.48%	@ Aarau	0	1701	37.24%	28.28%
7	2015-02-22	16.40	@ Luzern	4	1681	46.46%	Aarau	0	1645	26.28%	27.26%
8	2014-08-14	16.35	St. Gallen	2	1705	16.99%	@ Basel	0	1850	60.16%	22.86%
9	2015-03-22	16.19	@ Sion	3	1699	35.23%	Thun	0	1742	36.48%	28.29%
10	2014-11-08	16.13	@ Grasshopper	3	1710	35.39%	St. Gallen	0	1752	36.32%	28.29%
11	2014-09-24	16.07	@ St. Gallen	3	1702	35.57%	Grasshopper	0	1742	36.14%	28.29%
12	2015-04-19	15.23	@ Young Boys	4	1800	49.22%	Thun	0	1742	24.13%	26.65%
13	2015-05-09	14.06	@ Sion	4	1686	52.00%	Vaduz	0	1607	22.11%	25.88%
14	2015-03-22	13.82	@ Young Boys	3	1794	42.57%	Zurich	0	1785	29.55%	27.89%
15	2015-02-07	13.29	Zurich	4	1780	36.56%	@ St. Gallen	1	1737	35.15%	28.29%
16	2015-04-19	13.07	Aarau	2	1602	27.33%	@ Vaduz	0	1629	45.16%	27.50%
17	2015-05-29	13.04	@ Luzern	3	1748	44.96%	Sion	0	1722	27.50%	27.54%
18	2015-04-30	12.66	@ Luzern	6	1716	42.94%	St. Gallen	2	1704	29.22%	27.84%
19	2015-05-02	12.35	@ Thun	4	1731	56.13%	Vaduz	0	1620	19.38%	24.49%
20	2014-11-09	12.06	Basel	4	1839	56.85%	@ Vaduz	0	1644	18.93%	24.22%
21	2015-05-25	12.06	@ St. Gallen	5	1678	51.04%	Aarau	1	1606	22.79%	26.17%
22	2015-05-03	11.73	Luzern	6	1728	46.04%	@ Aarau	2	1617	26.61%	27.34%
23	2015-04-11	11.67	@ St. Gallen	3	1693	25.90%	Young Boys	1	1811	46.93%	27.17%
24	2014-09-13	11.54	@ Grasshopper	3	1731	26.42%	Basel	1	1844	46.29%	27.30%
25	2014-07-27	11.50	Zurich	4	1747	43.16%	@ Vaduz	1	1657	29.03%	27.81%

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	2014-11-23	80.8	@ St. Gallen	3	1736	55.23%	Vaduz	3	1632	19.95%	24.82%
2	2014-11-29	80.1	@ Sion	3	1672	33.15%	Grasshopper	3	1731	38.62%	28.23%
3	2015-04-29	78.7	@ Young Boys	2	1815	66.19%	Aarau	2	1616	13.82%	19.98%
4	2015-05-25	77.6	@ Thun	2	1738	21.70%	Basel	2	1899	52.60%	25.70%
5	2015-03-15	77.4	@ St. Gallen	2	1731	22.93%	Basel	2	1879	50.85%	26.22%
6	2015-05-21	77.2	@ Zurich	2	1743	61.53%	Vaduz	2	1585	16.23%	22.24%
7	2015-03-08	77.0	@ Vaduz	2	1627	21.19%	Zurich	2	1794	53.35%	25.46%
8	2015-04-26	76.8	@ Grasshopper	2	1731	29.82%	Young Boys	2	1815	42.26%	27.92%
9	2015-03-14	76.6	@ Thun	2	1743	46.17%	Grasshopper	2	1708	26.51%	27.32%
10	2015-05-17	76.6	@ Thun	2	1744	41.61%	Zurich	2	1742	30.40%	27.99%
11	2014-07-19	76.3	@ St. Gallen	2	1705	36.93%	Young Boys	2	1737	34.78%	28.28%
12	2014-08-09	76.2	@ St. Gallen	2	1705	42.35%	Aarau	2	1698	29.73%	27.91%
13	2014-11-01	75.9	Luzern	3	1674	19.42%	@ Zurich	2	1786	56.06%	24.51%
14	2014-11-02	75.9	@ Sion	2	1684	41.21%	Aarau	2	1686	30.75%	28.03%
15	2015-03-01	75.9	@ Sion	2	1678	38.53%	Luzern	2	1698	33.24%	28.23%
16	2014-09-14	75.6	@ Vaduz	2	1641	32.80%	St. Gallen	2	1702	39.00%	28.21%
17	2015-02-14	74.0	@ Basel	1	1880	67.91%	Sion	1	1664	12.99%	19.09%
18	2015-05-29	73.9	@ Aarau	3	1594	23.22%	Thun	2	1739	50.45%	26.33%
19	2014-07-26	73.8	Thun	3	1731	27.06%	@ Grasshopper	2	1761	45.49%	27.45%
20	2015-05-20	73.3	@ Aarau	2	1597	12.10%	Basel	1	1908	69.83%	18.07%
21	2015-04-26	73.1	Luzern	2	1707	13.70%	@ Basel	1	1908	66.44%	19.86%
22	2014-10-25	72.9	@ Basel	1	1834	60.83%	Sion	1	1683	16.61%	22.56%
23	2014-10-05	72.4	@ Aarau	3	1695	31.28%	Young Boys	2	1768	40.63%	28.09%
24	2014-09-27	72.2	@ Basel	1	1836	53.75%	Thun	1	1744	20.92%	25.33%
25	2015-05-29	72.2	@ Zurich	4	1748	41.94%	Grasshopper	3	1744	30.10%	27.96%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2015-04-04	45.2	@ Basel	6	1887	73.55%	Aarau	0	1616	10.44%	16.01%
2	2014-11-23	47.3	@ Basel	3	1851	63.01%	Aarau	0	1681	15.44%	21.55%
3	2015-05-02	48.0	@ Thun	4	1731	56.13%	Vaduz	0	1620	19.38%	24.49%
4	2014-10-05	48.3	@ Zurich	3	1768	57.70%	Vaduz	0	1643	18.42%	23.88%
5	2015-05-09	48.5	@ Sion	4	1686	52.00%	Vaduz	0	1607	22.11%	25.88%
6	2014-11-09	48.6	Basel	4	1839	56.85%	@ Vaduz	0	1644	18.93%	24.22%
7	2014-07-27	49.2	@ Basel	3	1827	56.60%	Luzern	0	1712	19.09%	24.31%
8	2015-03-07	49.3	@ Basel	3	1870	56.82%	Thun	0	1752	18.95%	24.23%
9	2014-12-06	50.0	Basel	3	1864	54.12%	@ Luzern	0	1690	20.67%	25.21%
10	2015-02-22	50.6	@ Luzern	4	1681	46.46%	Aarau	0	1645	26.28%	27.26%
11	2015-02-28	50.7	@ Basel	1	1868	70.34%	Vaduz	0	1629	11.87%	17.79%
12	2015-04-19	51.0	@ Young Boys	4	1800	49.22%	Thun	0	1742	24.13%	26.65%
13	2014-11-01	51.4	@ Basel	2	1833	56.61%	Grasshopper	0	1717	19.08%	24.31%
14	2015-05-16	51.9	Luzern	2	1740	50.71%	@ Vaduz	0	1593	23.03%	26.26%
15	2015-03-14	52.0	@ Luzern	2	1693	50.17%	Vaduz	0	1628	23.43%	26.41%
16	2015-04-12	52.4	@ Basel	5	1895	58.53%	Zurich	1	1764	17.93%	23.55%
17	2015-05-29	52.5	@ Luzern	3	1748	44.96%	Sion	0	1722	27.50%	27.54%
18	2015-05-25	52.7	@ St. Gallen	5	1678	51.04%	Aarau	1	1606	22.79%	26.17%
19	2014-12-07	53.0	@ St. Gallen	2	1729	49.01%	Sion	0	1673	24.29%	26.70%
20	2015-05-17	53.2	@ Grasshopper	2	1733	48.62%	St. Gallen	0	1680	24.59%	26.80%
21	2015-03-22	53.5	@ Young Boys	3	1794	42.57%	Zurich	0	1785	29.55%	27.89%
22	2015-04-29	53.9	Basel	3	1899	66.12%	@ Vaduz	1	1623	13.86%	20.02%
23	2014-08-17	54.0	Young Boys	2	1751	45.76%	@ Vaduz	0	1642	26.84%	27.40%
24	2014-09-23	54.0	@ Basel	3	1832	65.34%	Vaduz	1	1641	14.24%	20.41%
25	2015-05-16	54.0	@ Sion	1	1700	54.60%	Aarau	0	1601	20.36%	25.04%