2013-14 Super League Season

180 games

Final

Champion

Basel

72 points

Relegated

No relegation

Biggest Overachiever

Young Boys

8.71 points above expected

59 points · 50.29 expected points

Biggest Disappointment

Lausanne-Sport

8.44 points below expected

24 points · 32.44 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	19	15	2	72	70	34	+36	68.31	+3.69
2	Grasshopper	36	19	8	9	65	67	43	+24	60.17	+4.83
3	Young Boys	36	17	8	11	59	59	50	+9	50.29	+8.71
4	Luzern	36	15	6	15	51	48	54	-6	46.55	+4.45
5	Zurich	36	14	8	14	50	51	52	-1	55.31	-5.31
6	Thun	36	13	9	14	48	57	53	+4	51.10	-3.10
7	St. Gallen	36	11	12	13	45	37	47	-10	52.30	-7.30
8	Sion	36	12	7	17	43	38	45	-7	39.23	+3.77
9	Aarau	36	12	6	18	42	55	71	-16	43.14	-1.14
10	Lausanne-Sport	36	7	3	26	24	38	71	-33	32.44	-8.44

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	59	50.29	+8.71
2	Grasshopper	65	60.17	+4.83
3	Luzern	51	46.55	+4.45
4	Sion	43	39.23	+3.77
5	Basel	72	68.31	+3.69

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Lausanne-Sport	24	32.44	-8.44
2	St. Gallen	45	52.30	-7.30
3	Zurich	50	55.31	-5.31
4	Thun	48	51.10	-3.10
5	Aarau	42	43.14	-1.14

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	Zurich	6	Feb 1 – Mar 9	1 in 187
2	Young Boys	5	Jul 13 – Aug 10	1 in 121
3	Sion	4	Apr 26 – May 11	1 in 109
4	Grasshopper	6	Mar 8 – Apr 12	1 in 46
5	Lausanne-Sport	2	Mar 23 – Mar 30	1 in 23

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Sion	7	Nov 24 – Feb 22	1 in 178
2	Lausanne-Sport	7	Oct 6 – Dec 7	1 in 54
3	Luzern	4	May 3 – May 15	1 in 53
4	Thun	3	May 11 – May 18	1 in 39
5	St. Gallen	3	Feb 9 – Feb 23	1 in 37

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Basel	28	Aug 24 – May 7	1 in 1,504
2	St. Gallen	8	Jul 28 – Oct 6	1 in 32
3	Sion	5	Apr 17 – May 11	1 in 25
4	Zurich	8	Dec 7 – Mar 9	1 in 23
5	Grasshopper	8	Jul 14 – Sep 25	1 in 22

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	St. Gallen	8	Dec 15 – Mar 15	1 in 63
2	Zurich	7	Mar 16 – Apr 26	1 in 51
3	Young Boys	7	Aug 25 – Oct 20	1 in 30
4	Lausanne-Sport	9	Jul 14 – Sep 25	1 in 16
5	Sion	7	Nov 24 – Feb 22	1 in 11

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	1882	72	+9	12	10.3	+1.7
Grasshopper	1791	65	-9	9	9.4	-0.4
Young Boys	1742	59	+23	10	6.3	+3.7
Luzern	1701	51	-10	3	6.6	-3.6
Zurich	1742	50	+3	8	7.9	+0.1
Thun	1733	48	-47	3	8.5	-5.5
St. Gallen	1689	45	-15	4	5.4	-1.4
Sion	1672	43	+27	12	5.4	+6.6
Aarau	1673	42	+29	8	5.4	+2.6
Lausanne-Sport	1597	24	-12	3	4.3	-1.3

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	LAU	LUZ	SIO	SG	THU	YB	ZUR
Aarau	—	0-1-3 3.26	2-0-2 3.89	3-0-1 6.47	1-0-3 5.03	2-0-2 5.95	0-2-2 4.45	1-1-2 4.81	1-1-2 4.86	2-1-1 4.25
Basel	3-1-0 7.89	—	0-4-0 6.50	4-0-0 8.71	2-2-0 7.57	3-1-0 8.38	2-2-0 7.28	2-2-0 7.37	2-1-1 7.20	1-2-1 6.91
Grasshopper	2-0-2 7.20	0-4-0 4.57	—	3-1-0 8.09	3-0-1 6.64	1-1-2 7.68	3-0-1 6.26	2-1-1 6.70	3-0-1 6.27	2-1-1 6.13
Lausanne-Sport	1-0-3 4.59	0-0-4 2.55	0-1-3 3.09	—	2-0-2 4.07	2-0-2 4.85	1-1-2 3.64	0-1-3 3.55	0-0-4 3.82	1-0-3 3.35
Luzern	3-0-1 6.02	0-2-2 3.56	1-0-3 4.43	2-0-2 7.01	—	1-0-3 6.61	2-1-1 5.04	1-2-1 5.16	1-1-2 5.08	4-0-0 4.47
Sion	2-0-2 5.10	0-1-3 2.83	2-1-1 3.45	2-0-2 6.21	3-0-1 4.46	—	0-1-3 4.38	1-1-2 4.11	1-2-1 4.10	1-1-2 4.01
St. Gallen	2-2-0 6.61	0-2-2 3.82	1-0-3 4.82	2-1-1 7.47	1-1-2 6.00	3-1-0 6.68	—	1-1-2 5.44	0-2-2 5.40	1-2-1 5.35
Thun	2-1-1 6.25	0-2-2 3.75	1-1-2 4.37	3-1-0 7.57	1-2-1 5.88	2-1-1 6.97	2-1-1 5.62	—	1-0-3 5.52	1-0-3 5.31
Young Boys	2-1-1 6.20	1-1-2 3.90	1-0-3 4.80	4-0-0 7.31	2-1-1 5.97	1-2-1 6.97	2-2-0 5.65	3-0-1 5.53	—	1-1-2 4.95
Zurich	1-1-2 6.83	1-2-1 4.17	1-1-2 4.93	3-0-1 7.81	0-0-4 6.60	2-1-1 7.07	1-2-1 5.71	3-0-1 5.76	2-1-1 6.10	—

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	0.69	+9.3
Allowed	0.65	-9.3
Differential	0.94	+6.6

Scoreline Distribution

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

View:

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	6.67%	7.22%	6.11%	2.78%	1.39%	0.83%	25.00%
1	7.22%	10.00%	7.22%	5.83%	1.94%	0.56%	32.78%
2	6.11%	7.22%	6.11%	2.50%	1.67%	—	23.61%
3	2.78%	5.83%	2.50%	—	0.28%	0.28%	11.67%
4	1.39%	1.94%	1.67%	0.28%	—	—	5.28%
5+	0.83%	0.56%	—	0.28%	—	—	1.67%
Total	25.00%	32.78%	23.61%	11.67%	5.28%	1.67%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.44	1.44	+0.00
SD	1.23	1.23	1.83
CV	0.85	0.85	—
Max	5	5	+5
Min	0	0	-5

Games Played: 180

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	8.33%	5.56%	2.78%	2.78%	2.78%	22.22%
1	2.78%	5.56%	5.56%	5.56%	5.56%	—	25.00%
2	2.78%	16.67%	11.11%	5.56%	5.56%	—	41.67%
3	—	2.78%	—	—	—	—	2.78%
4	2.78%	—	2.78%	—	—	—	5.56%
5+	—	2.78%	—	—	—	—	2.78%
Total	8.33%	36.11%	25.00%	13.89%	13.89%	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.53	1.97	-0.44
SD	1.21	1.30	2.02
CV	0.79	0.66	—
Max	5	5	+4
Min	0	0	-5

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	—	—	—	—	—	8.33%
1	5.56%	25.00%	2.78%	2.78%	—	—	36.11%
2	8.33%	5.56%	8.33%	—	—	—	22.22%
3	5.56%	13.89%	2.78%	—	—	—	22.22%
4	—	2.78%	5.56%	—	—	—	8.33%
5+	2.78%	—	—	—	—	—	2.78%
Total	30.56%	47.22%	19.44%	2.78%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.94	0.94	+1.00
SD	1.24	0.79	1.37
CV	0.64	0.84	—
Max	5	3	+5
Min	0	0	-2

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	5.56%	2.78%	—	2.78%	2.78%	19.44%
1	—	16.67%	5.56%	5.56%	—	—	27.78%
2	16.67%	8.33%	—	—	—	—	25.00%
3	—	8.33%	—	—	—	—	8.33%
4	2.78%	2.78%	8.33%	—	—	—	13.89%
5+	2.78%	2.78%	—	—	—	—	5.56%
Total	27.78%	44.44%	16.67%	5.56%	2.78%	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.86	1.19	+0.67
SD	1.50	1.17	2.12
CV	0.80	0.98	—
Max	5	5	+5
Min	0	0	-5

Games Played: 36

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.06	1.97	-0.92
SD	1.17	1.25	1.59
CV	1.11	0.64	—
Max	4	5	+3
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	5.56%	5.56%	2.78%	—	—	13.89%
1	16.67%	16.67%	8.33%	5.56%	5.56%	—	52.78%
2	5.56%	8.33%	—	2.78%	2.78%	—	19.44%
3	2.78%	2.78%	5.56%	—	2.78%	—	13.89%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	25.00%	33.33%	19.44%	11.11%	11.11%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.33	1.50	-0.17
SD	0.89	1.30	1.56
CV	0.67	0.87	—
Max	3	4	+3
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	11.11%	16.67%	11.11%	—	—	—	38.89%
1	11.11%	2.78%	5.56%	8.33%	2.78%	—	30.56%
2	5.56%	2.78%	5.56%	—	2.78%	—	16.67%
3	5.56%	5.56%	2.78%	—	—	—	13.89%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	33.33%	27.78%	25.00%	8.33%	5.56%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.06	1.25	-0.19
SD	1.07	1.18	1.58
CV	1.01	0.94	—
Max	3	4	+3
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	11.11%	5.56%	11.11%	8.33%	2.78%	—	38.89%
1	11.11%	16.67%	—	2.78%	—	2.78%	33.33%
2	8.33%	2.78%	5.56%	2.78%	—	—	19.44%
3	2.78%	—	—	—	—	—	2.78%
4	—	5.56%	—	—	—	—	5.56%
5+	—	—	—	—	—	—	—
Total	33.33%	30.56%	16.67%	13.89%	2.78%	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.03	1.31	-0.28
SD	1.11	1.31	1.88
CV	1.08	1.00	—
Max	4	5	+3
Min	0	0	-4

Games Played: 36

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.58	1.47	+0.11
SD	1.30	1.16	1.92
CV	0.82	0.79	—
Max	5	4	+5
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	8.33%	—	2.78%	2.78%	2.78%	22.22%
1	8.33%	5.56%	8.33%	2.78%	—	—	25.00%
2	5.56%	8.33%	11.11%	2.78%	—	—	27.78%
3	5.56%	8.33%	5.56%	—	—	—	19.44%
4	2.78%	—	—	—	—	—	2.78%
5+	—	—	—	2.78%	—	—	2.78%
Total	27.78%	30.56%	25.00%	11.11%	2.78%	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.64	1.39	+0.25
SD	1.27	1.25	1.89
CV	0.77	0.90	—
Max	5	5	+4
Min	0	0	-5

Games Played: 36

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.42	1.44	-0.03
SD	1.16	1.23	1.70
CV	0.82	0.85	—
Max	4	5	+4
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	1882	72	68.31	+3.69	71.0%	48	56	63	68	74	81	85
Grasshopper	1791	65	60.17	+4.83	79.0%	42	48	55	59	65	73	80
Young Boys	1742	59	50.29	+8.71	90.0%	34	36	45	51	55	63	68
Zurich	1742	50	55.31	-5.31	24.0%	30	43	51	55	61	68	74
Thun	1733	48	51.10	-3.10	37.0%	34	40	45	51	56	63	69
Luzern	1701	51	46.55	+4.45	74.0%	29	35	41	46	52	58	68
St. Gallen	1689	45	52.30	-7.30	20.0%	31	39	47	52	55	67	76
Aarau	1673	42	43.14	-1.14	48.0%	22	30	38	43	49	55	57
Sion	1672	43	39.23	+3.77	69.0%	22	26	33	39	44	51	61
Lausanne-Sport	1597	24	32.44	-8.44	13.0%	12	21	27	32	36	45	55

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

+13.89%

No Edge

45.56%22.78%31.67%

Elo Value

Home Edge: 48.57 Elo pts.

185 Elo

0.005 goals per Elo point

0500

Scoring Tilt

Expected

+0.33 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

2.1

Top-Heavy

123410

Champion Preseason Odds

66%

Basel, 1st of 10

LongshotFavorite

Title Margin

Expected

0.19/gm

Comfortable

00.210.5/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 6.1 * Some Luck: 6.1 to 9.14 * Lucky: 9.14 to 12.19 * Wild Swing: 12.19 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 1.1 * Close: 1.1 to 1.65 * Off: 1.65 to 2.19 * Way Off: 2.19 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

5.57 points

As Expected

07.6219

Average Finish Error

Expected

1.40

01.373

Biggest Overachiever

Expected 95.00%

90.00%

Young Boys

50100

Biggest Underachiever

Expected 5.00%

13.00%

Lausanne-Sport

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

0.14

Balanced

00.150.5

Noll-Scully

Elo SD: 77.03

1.67

Moderate Separation

11.651.852.052.75

Interquartile Edge

59%

Even

50%63%71%76%100%

Best vs. Worst

Baseline

84%

Even

50%81%100%

Close Games

Expected

57%

Frequent

0%59%100%

Blowouts

Expected

15%

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

0.61

Predictable

00.612

Matchup Imbalance

0.30

Very Even

00.370.5

Strangeness

Expected

0.53

Very Predictable

01.002

Repeatability

0.65

Strong Carryover

00.420.631

Upset Rate

Expected

27%

Very Upset-Prone

0%27%50%

Clear Favorite Upset Rate

Expected

24%

Very Shaky

0%23%50%

Calibration

How these are measured

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

Probability calibration: An all-in-one chi-square test of the model's probabilities. Matches are grouped by how confident the model was, and within each group the predicted and actual counts of home wins, draws, and away wins are compared. The p-value is plotted; above 0.05 means well-calibrated.
Miscalibrated: under 0.05 * Borderline: 0.05 to 0.1 * Well Calibrated: 0.1 to 0.5 * Excellent: 0.5 and up.
Calibration slope: Checks whether the spread of the probabilities is right. Each probability is turned into log-odds and a line is fit predicting the actual results. A slope of 1.00 is perfect; below 1 is overconfidence (favorites lost more than their odds implied); above 1 is under-confidence.
Overconfident: under 0.85 * Calibrated: 0.85 to 1.15 * Underconfident: 1.15 to 1.3 * Very Underconfident: 1.3 and up.
Calibration error (ECE): The average gap between the model's stated chances and how often the predicted result actually happened. Smaller is better. The gold line is the noise ceiling, the error luck alone can produce even with perfect probabilities; below it, the model's error is no larger than chance.
Well Within Noise: under 0.12 * Near Noise Ceiling: 0.12 to 0.18 * Above Noise: 0.18 to 0.24 * Well Above Noise: 0.24 and up.

Probability calibration

0.61

Excellent

0.010.050.10.51

Calibration slope

Ideal

1.05

Calibrated

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.042

Well Within Noise

00.1200.3

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	66.00%	22.00%	5.00%	6.00%	—	—	—	1.00%	—	—
Grasshopper	20.00%	31.00%	23.00%	13.00%	4.00%	5.00%	4.00%	—	—	—
Young Boys	—	10.00%	11.00%	17.00%	13.00%	18.00%	14.00%	9.00%	7.00%	1.00%
Luzern	—	1.00%	5.00%	11.00%	11.00%	16.00%	20.00%	18.00%	14.00%	4.00%
Zurich	7.00%	18.00%	25.00%	14.00%	14.00%	12.00%	3.00%	5.00%	2.00%	—
Thun	1.00%	9.00%	14.00%	13.00%	19.00%	16.00%	14.00%	12.00%	1.00%	1.00%
St. Gallen	6.00%	7.00%	11.00%	19.00%	20.00%	13.00%	11.00%	7.00%	4.00%	2.00%
Sion	—	2.00%	1.00%	2.00%	5.00%	6.00%	13.00%	21.00%	29.00%	21.00%
Aarau	—	—	4.00%	5.00%	12.00%	12.00%	17.00%	21.00%	22.00%	7.00%
Lausanne-Sport	—	—	1.00%	—	2.00%	2.00%	4.00%	6.00%	21.00%	64.00%

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%	—
Zurich	100%	—
Thun	99.00%	1.00%
Young Boys	99.00%	1.00%
St. Gallen	98.00%	2.00%
Luzern	96.00%	4.00%
Aarau	93.00%	7.00%
Sion	79.00%	21.00%
Lausanne-Sport	36.00%	64.00%

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
2013-07-13	Aarau	W 3-1	56.7	1808	1703	58.17%	21.51%	20.32%	+0.83	+5.3	3
2013-07-13	@ Basel	L 1-3	56.7	1703	1808	20.32%	21.51%	58.17%	-0.83	-5.3	0
2013-07-13	Sion	W 2-0	51.7	1702	1648	51.94%	22.93%	25.13%	+0.56	+7.4	3
2013-07-13	@ Young Boys	L 0-2	51.7	1648	1702	25.13%	22.93%	51.94%	-0.56	-7.4	0
2013-07-14	Grasshopper	L 0-2	58.4	1747	1756	43.52%	23.98%	32.51%	+0.21	-11.6	0
2013-07-14	@ St. Gallen	W 2-0	58.4	1756	1747	32.51%	23.98%	43.52%	-0.21	+11.6	3
2013-07-14	Lausanne-Sport	W 2-0	51.9	1704	1654	51.42%	23.02%	25.56%	+0.53	+7.5	3
2013-07-14	@ Luzern	L 0-2	51.9	1654	1704	25.56%	23.02%	51.42%	-0.53	-7.5	0
2013-07-14	Thun	W 3-2	67.4	1777	1724	51.85%	22.95%	25.20%	+0.55	+3.5	3
2013-07-14	@ Zurich	L 2-3	67.4	1724	1777	25.20%	22.95%	51.85%	-0.55	-3.5	0
2013-07-20	Luzern	W 4-2	65.0	1697	1712	42.75%	24.02%	33.22%	+0.18	+7.3	3
2013-07-20	@ Aarau	L 2-4	65.0	1712	1697	33.22%	24.02%	42.75%	-0.18	-7.3	3
2013-07-20	Young Boys	L 1-3	61.3	1647	1709	35.97%	24.14%	39.89%	-0.07	-8.7	0
2013-07-20	@ Lausanne-Sport	W 3-1	61.3	1709	1647	39.89%	24.14%	35.97%	+0.07	+8.7	6
2013-07-21	Basel	D 1-1	73.1	1768	1813	38.38%	24.16%	37.46%	+0.02	-0.0	4
2013-07-21	@ Grasshopper	D 1-1	73.1	1813	1768	37.46%	24.16%	38.38%	-0.02	+0.0	4
2013-07-21	St. Gallen	W 3-2	70.0	1720	1735	42.65%	24.03%	33.32%	+0.18	+4.5	3
2013-07-21	@ Thun	L 2-3	70.0	1735	1720	33.32%	24.03%	42.65%	-0.18	-4.5	0
2013-07-21	Zurich	D 0-0	68.4	1640	1781	26.29%	23.17%	50.54%	-0.50	+0.8	1
2013-07-21	@ Sion	D 0-0	68.4	1781	1640	50.54%	23.17%	26.29%	+0.50	-0.8	4
2013-07-27	Aarau	W 4-2	62.3	1768	1705	53.07%	22.72%	24.21%	+0.60	+5.6	7
2013-07-27	@ Grasshopper	L 2-4	62.3	1705	1768	24.21%	22.72%	53.07%	-0.60	-5.6	3
2013-07-27	Lausanne-Sport	W 2-0	48.2	1813	1638	65.80%	19.00%	15.20%	+1.21	+4.5	7
2013-07-27	@ Basel	L 0-2	48.2	1638	1813	15.20%	19.00%	65.80%	-1.21	-4.5	0
2013-07-28	St. Gallen	L 0-1	58.2	1641	1731	32.28%	23.96%	43.76%	-0.22	-4.9	1
2013-07-28	@ Sion	W 1-0	58.2	1731	1641	43.76%	23.96%	32.28%	+0.22	+4.9	3
2013-07-28	Thun	W 3-2	69.6	1718	1725	43.85%	23.95%	32.20%	+0.23	+4.3	9
2013-07-28	@ Young Boys	L 2-3	69.6	1725	1718	32.20%	23.95%	43.85%	-0.23	-4.3	3
2013-07-28	Zurich	W 3-2	72.7	1705	1780	34.22%	24.08%	41.70%	-0.14	+5.3	6
2013-07-28	@ Luzern	L 2-3	72.7	1780	1705	41.70%	24.08%	34.22%	+0.14	-5.3	4
2013-08-03	Basel	D 1-1	73.1	1736	1818	33.33%	24.03%	42.64%	-0.18	+0.3	4
2013-08-03	@ St. Gallen	D 1-1	73.1	1818	1736	42.64%	24.03%	33.33%	+0.18	-0.3	8
2013-08-03	Grasshopper	D 0-0	68.3	1634	1773	26.37%	23.19%	50.45%	-0.49	+0.8	1
2013-08-03	@ Lausanne-Sport	D 0-0	68.3	1773	1634	50.45%	23.19%	26.37%	+0.49	-0.8	8
2013-08-04	Aarau	D 2-2	78.6	1720	1699	47.65%	23.58%	28.77%	+0.38	-0.4	4
2013-08-04	@ Thun	D 2-2	78.6	1699	1720	28.77%	23.58%	47.65%	-0.38	+0.4	4
2013-08-04	Sion	W 1-0	54.8	1710	1636	54.40%	22.44%	23.16%	+0.66	+3.7	9
2013-08-04	@ Luzern	L 0-1	54.8	1636	1710	23.16%	22.44%	54.40%	-0.66	-3.7	1
2013-08-04	Young Boys	L 1-3	66.5	1774	1722	51.70%	22.97%	25.32%	+0.54	-11.6	4
2013-08-04	@ Zurich	W 3-1	66.5	1722	1774	25.32%	22.97%	51.70%	-0.54	+11.6	12
2013-08-10	Sion	D 0-0	69.1	1772	1633	62.08%	20.33%	17.59%	+1.02	-1.6	9
2013-08-10	@ Grasshopper	D 0-0	69.1	1633	1772	17.59%	20.33%	62.08%	-1.02	+1.6	2
2013-08-10	Young Boys	L 0-4	54.7	1700	1734	39.96%	24.14%	35.90%	+0.08	-20.6	4
2013-08-10	@ Aarau	W 4-0	54.7	1734	1700	35.90%	24.14%	39.96%	-0.08	+20.6	15
2013-08-11	Lausanne-Sport	W 2-0	50.1	1736	1635	57.75%	21.63%	20.63%	+0.81	+6.2	7
2013-08-11	@ St. Gallen	L 0-2	50.1	1635	1736	20.63%	21.63%	57.75%	-0.81	-6.2	1
2013-08-11	Luzern	D 1-1	72.7	1720	1714	45.63%	23.80%	30.57%	+0.30	-0.4	5
2013-08-11	@ Thun	D 1-1	72.7	1714	1720	30.57%	23.80%	45.63%	-0.30	+0.4	10
2013-08-11	Zurich	L 1-2	70.3	1817	1763	52.00%	22.92%	25.08%	+0.56	-6.7	8
2013-08-11	@ Basel	W 2-1	70.3	1763	1817	25.08%	22.92%	52.00%	-0.56	+6.7	7
2013-08-24	Aarau	L 1-2	64.8	1628	1679	37.63%	24.16%	38.21%	-0.01	-5.2	1
2013-08-24	@ Lausanne-Sport	W 2-1	64.8	1679	1628	38.21%	24.16%	37.63%	+0.01	+5.2	7
2013-08-24	Basel	D 1-1	73.0	1714	1811	31.42%	23.89%	44.69%	-0.26	+0.4	11
2013-08-24	@ Luzern	D 1-1	73.0	1811	1714	44.69%	23.89%	31.42%	+0.26	-0.4	9
2013-08-25	Grasshopper	L 1-2	67.6	1754	1771	42.49%	24.04%	33.47%	+0.17	-5.7	15
2013-08-25	@ Young Boys	W 2-1	67.6	1771	1754	33.47%	24.04%	42.49%	-0.17	+5.7	12
2013-08-25	St. Gallen	D 0-0	68.7	1770	1742	48.46%	23.48%	28.06%	+0.41	-0.7	8
2013-08-25	@ Zurich	D 0-0	68.7	1742	1770	28.06%	23.48%	48.46%	-0.41	+0.7	8
2013-08-25	Thun	D 0-0	67.6	1634	1719	32.88%	24.00%	43.12%	-0.20	+0.3	3
2013-08-25	@ Sion	D 0-0	67.6	1719	1634	43.12%	24.00%	32.88%	+0.20	-0.3	6
2013-08-31	Sion	L 0-1	63.1	1684	1635	51.37%	23.03%	25.59%	+0.53	-7.1	7
2013-08-31	@ Aarau	W 1-0	63.1	1635	1684	25.59%	23.03%	51.37%	-0.53	+7.0	6
2013-09-01	Lausanne-Sport	W 4-1	53.2	1719	1623	57.08%	21.80%	21.12%	+0.78	+7.7	9
2013-09-01	@ Thun	L 1-4	53.2	1623	1719	21.12%	21.80%	57.08%	-0.78	-7.8	1
2013-09-01	Luzern	W 4-1	56.6	1743	1714	48.62%	23.46%	27.92%	+0.42	+10.0	11
2013-09-01	@ St. Gallen	L 1-4	56.6	1714	1743	27.92%	23.46%	48.62%	-0.42	-10.0	11
2013-09-01	Young Boys	W 2-1	61.9	1810	1749	52.88%	22.75%	24.36%	+0.60	+3.6	12
2013-09-01	@ Basel	L 1-2	61.9	1749	1810	24.36%	22.75%	52.88%	-0.60	-3.6	15
2013-09-21	Luzern	L 0-1	63.9	1745	1704	50.22%	23.22%	26.56%	+0.48	-6.9	15
2013-09-21	@ Young Boys	W 1-0	63.9	1704	1745	26.56%	23.22%	50.22%	-0.48	+6.9	14
2013-09-22	Basel	L 1-3	57.6	1642	1814	23.02%	22.40%	54.58%	-0.67	-5.9	6
2013-09-22	@ Sion	W 3-1	57.6	1814	1642	54.58%	22.40%	23.02%	+0.67	+6.0	15
2013-09-22	Thun	W 2-1	62.2	1777	1727	51.39%	23.03%	25.58%	+0.53	+3.8	15
2013-09-22	@ Grasshopper	L 1-2	62.2	1727	1777	25.58%	23.03%	51.39%	-0.53	-3.8	9
2013-09-22	Zurich	L 1-2	61.3	1615	1769	24.89%	22.88%	52.23%	-0.57	-3.7	1
2013-09-22	@ Lausanne-Sport	W 2-1	61.3	1769	1615	52.23%	22.88%	24.89%	+0.57	+3.7	11
2013-09-24	Young Boys	D 0-0	68.6	1753	1738	46.78%	23.68%	29.53%	+0.34	-0.6	12
2013-09-24	@ St. Gallen	D 0-0	68.6	1738	1753	29.53%	23.68%	46.78%	-0.34	+0.6	16
2013-09-25	Basel	L 0-2	54.9	1723	1820	31.39%	23.88%	44.72%	-0.26	-9.0	9
2013-09-25	@ Thun	W 2-0	54.9	1820	1723	44.72%	23.88%	31.39%	+0.26	+9.0	18
2013-09-25	Grasshopper	L 0-2	55.9	1711	1780	35.06%	24.11%	40.83%	-0.11	-9.8	14
2013-09-25	@ Luzern	W 2-0	55.9	1780	1711	40.83%	24.11%	35.06%	+0.11	+9.8	18
2013-09-25	Lausanne-Sport	W 2-1	61.0	1636	1612	48.01%	23.54%	28.45%	+0.39	+4.1	9
2013-09-25	@ Sion	L 1-2	61.0	1612	1636	28.45%	23.54%	48.01%	-0.39	-4.1	1
2013-09-26	Aarau	L 1-2	71.1	1773	1677	57.03%	21.81%	21.15%	+0.78	-7.3	11
2013-09-26	@ Zurich	W 2-1	71.1	1677	1773	21.15%	21.81%	57.03%	-0.78	+7.3	10
2013-09-28	Sion	D 2-2	80.4	1829	1640	67.23%	18.43%	14.34%	+1.29	-1.3	19
2013-09-28	@ Basel	D 2-2	80.4	1640	1829	14.34%	18.43%	67.23%	-1.29	+1.3	10
2013-09-28	St. Gallen	L 0-1	64.1	1790	1752	49.84%	23.28%	26.87%	+0.47	-6.9	18
2013-09-28	@ Grasshopper	W 1-0	64.1	1752	1790	26.87%	23.28%	49.84%	-0.47	+6.9	15
2013-09-29	Lausanne-Sport	L 2-3	74.6	1684	1608	54.77%	22.36%	22.87%	+0.68	-6.7	10
2013-09-29	@ Aarau	W 3-2	74.6	1608	1684	22.87%	22.36%	54.77%	-0.68	+6.7	4
2013-09-29	Thun	D 1-1	72.5	1702	1714	43.05%	24.01%	32.95%	+0.20	-0.3	15
2013-09-29	@ Luzern	D 1-1	72.5	1714	1702	32.95%	24.01%	43.05%	-0.20	+0.3	10
2013-09-29	Zurich	L 0-1	61.6	1739	1765	41.07%	24.10%	34.83%	+0.12	-5.9	16
2013-09-29	@ Young Boys	W 1-0	61.6	1765	1739	34.83%	24.10%	41.07%	-0.12	+5.9	14
2013-10-05	Luzern	L 0-2	61.0	1771	1701	53.93%	22.54%	23.53%	+0.64	-13.9	14
2013-10-05	@ Zurich	W 2-0	61.0	1701	1771	23.53%	22.54%	53.93%	-0.64	+13.9	18
2013-10-05	Young Boys	D 2-2	78.2	1641	1733	32.02%	23.94%	44.05%	-0.23	+0.3	11
2013-10-05	@ Sion	D 2-2	78.2	1733	1641	44.05%	23.94%	32.02%	+0.23	-0.3	17
2013-10-06	Aarau	W 1-0	55.2	1759	1678	55.36%	22.22%	22.41%	+0.70	+3.5	18
2013-10-06	@ St. Gallen	L 0-1	55.2	1678	1759	22.41%	22.22%	55.36%	-0.70	-3.5	10
2013-10-06	Basel	L 1-2	59.5	1614	1828	19.41%	21.15%	59.44%	-0.89	-2.9	4
2013-10-06	@ Lausanne-Sport	W 2-1	59.5	1828	1614	59.44%	21.15%	19.41%	+0.89	+2.9	22
2013-10-06	Grasshopper	D 1-1	72.9	1714	1783	35.06%	24.11%	40.83%	-0.11	+0.2	11
2013-10-06	@ Thun	D 1-1	72.9	1783	1714	40.83%	24.11%	35.06%	+0.11	-0.2	19
2013-10-19	Sion	W 1-0	54.9	1715	1641	54.34%	22.45%	23.21%	+0.66	+3.7	14
2013-10-19	@ Thun	L 0-1	54.9	1641	1715	23.21%	22.45%	54.34%	-0.66	-3.7	11
2013-10-19	St. Gallen	W 3-0	50.1	1830	1763	53.65%	22.60%	23.75%	+0.63	+10.3	25
2013-10-19	@ Basel	L 0-3	50.1	1763	1830	23.75%	22.60%	53.65%	-0.63	-10.3	18
2013-10-20	Lausanne-Sport	W 2-0	48.0	1783	1611	65.48%	19.12%	15.40%	+1.19	+4.6	22
2013-10-20	@ Grasshopper	L 0-2	48.0	1611	1783	15.40%	19.12%	65.48%	-1.19	-4.6	4
2013-10-20	Young Boys	D 1-1	72.7	1715	1733	42.34%	24.05%	33.61%	+0.17	-0.2	19
2013-10-20	@ Luzern	D 1-1	72.7	1733	1715	33.61%	24.05%	42.34%	-0.17	+0.2	18
2013-10-20	Zurich	W 5-1	59.6	1674	1757	33.14%	24.02%	42.84%	-0.19	+18.1	13
2013-10-20	@ Aarau	L 1-5	59.6	1757	1674	42.84%	24.02%	33.14%	+0.19	-18.1	14
2013-10-26	Aarau	W 3-0	50.6	1733	1692	50.22%	23.22%	26.56%	+0.48	+11.3	21
2013-10-26	@ Young Boys	L 0-3	50.6	1692	1733	26.56%	23.22%	50.22%	-0.48	-11.3	13
2013-10-26	Luzern	L 0-1	57.0	1607	1715	29.98%	23.74%	46.28%	-0.32	-4.6	4
2013-10-26	@ Lausanne-Sport	W 1-0	57.0	1715	1607	46.28%	23.74%	29.98%	+0.32	+4.6	22
2013-10-27	Basel	D 0-0	68.7	1739	1841	30.80%	23.83%	45.37%	-0.29	+0.5	15
2013-10-27	@ Zurich	D 0-0	68.7	1841	1739	45.37%	23.83%	30.80%	+0.29	-0.5	26
2013-10-27	Grasshopper	W 2-0	60.3	1638	1788	25.25%	22.96%	51.80%	-0.55	+13.4	14
2013-10-27	@ Sion	L 0-2	60.3	1788	1638	51.80%	22.96%	25.25%	+0.55	-13.4	22
2013-10-27	Thun	D 0-0	68.6	1753	1718	49.40%	23.35%	27.25%	+0.45	-0.7	19
2013-10-27	@ St. Gallen	D 0-0	68.6	1718	1753	27.25%	23.35%	49.40%	-0.45	+0.8	15
2013-10-30	St. Gallen	D 2-2	78.6	1681	1752	34.79%	24.10%	41.10%	-0.12	+0.1	14
2013-10-30	@ Aarau	D 2-2	78.6	1752	1681	41.10%	24.10%	34.79%	+0.12	-0.1	20
2013-10-30	Zurich	W 3-1	59.4	1774	1740	49.43%	23.34%	27.23%	+0.45	+6.9	25
2013-10-30	@ Grasshopper	L 1-3	59.4	1740	1774	27.23%	23.34%	49.43%	-0.45	-6.9	15
2013-11-02	Basel	D 1-1	73.4	1681	1840	24.31%	22.74%	52.95%	-0.60	+0.9	15
2013-11-02	@ Aarau	D 1-1	73.4	1840	1681	52.95%	22.74%	24.31%	+0.60	-0.9	27
2013-11-02	Luzern	W 3-0	54.7	1651	1719	35.12%	24.12%	40.76%	-0.11	+16.0	17
2013-11-02	@ Sion	L 0-3	54.7	1719	1651	40.76%	24.12%	35.12%	+0.11	-16.0	22
2013-11-03	St. Gallen	L 0-3	49.6	1602	1752	25.30%	22.97%	51.73%	-0.55	-10.9	4
2013-11-03	@ Lausanne-Sport	W 3-0	49.6	1752	1602	51.73%	22.97%	25.30%	+0.55	+10.9	23
2013-11-03	Young Boys	L 0-1	64.0	1781	1744	49.74%	23.30%	26.96%	+0.46	-6.9	25
2013-11-03	@ Grasshopper	W 1-0	64.0	1744	1781	26.96%	23.30%	49.74%	-0.46	+6.9	24
2013-11-03	Zurich	W 2-1	64.6	1719	1733	42.85%	24.02%	33.13%	+0.19	+4.7	18
2013-11-03	@ Thun	L 1-2	64.6	1733	1719	33.13%	24.02%	42.85%	-0.19	-4.7	15
2013-11-23	Lausanne-Sport	W 3-2	62.7	1751	1591	64.23%	19.58%	16.19%	+1.13	+2.3	27
2013-11-23	@ Young Boys	L 2-3	62.7	1591	1751	16.19%	19.58%	64.23%	-1.13	-2.3	4
2013-11-23	Thun	W 4-1	53.7	1839	1724	59.39%	21.17%	19.44%	+0.89	+7.2	30
2013-11-23	@ Basel	L 1-4	53.7	1724	1839	19.44%	21.17%	59.39%	-0.89	-7.1	18
2013-11-24	Grasshopper	L 2-4	64.9	1682	1774	31.95%	23.93%	44.12%	-0.24	-7.1	15
2013-11-24	@ Aarau	W 4-2	64.9	1774	1682	44.12%	23.93%	31.95%	+0.24	+7.1	28
2013-11-24	Sion	W 4-1	54.9	1728	1667	52.83%	22.76%	24.41%	+0.59	+8.9	18
2013-11-24	@ Zurich	L 1-4	54.9	1667	1728	24.41%	22.76%	52.83%	-0.59	-8.9	17
2013-11-24	St. Gallen	W 3-1	63.1	1703	1763	36.43%	24.15%	39.42%	-0.06	+9.3	25
2013-11-24	@ Luzern	L 1-3	63.1	1763	1703	39.42%	24.15%	36.43%	+0.06	-9.3	23
2013-11-30	Luzern	L 1-2	70.5	1781	1713	53.77%	22.57%	23.65%	+0.63	-6.9	28
2013-11-30	@ Grasshopper	W 2-1	70.5	1713	1781	23.65%	22.57%	53.77%	-0.63	+6.9	28
2013-12-01	Basel	D 2-2	79.1	1753	1846	31.86%	23.93%	44.22%	-0.24	+0.3	28
2013-12-01	@ Young Boys	D 2-2	79.1	1846	1753	44.22%	23.93%	31.86%	+0.24	-0.3	31
2013-12-01	Thun	L 0-2	52.1	1589	1716	27.71%	23.42%	48.86%	-0.43	-8.1	4
2013-12-01	@ Lausanne-Sport	W 2-0	52.1	1716	1589	48.86%	23.42%	27.71%	+0.43	+8.1	21
2013-12-01	Zurich	W 2-1	63.5	1753	1737	46.99%	23.66%	29.35%	+0.35	+4.3	26
2013-12-01	@ St. Gallen	L 1-2	63.5	1737	1753	29.35%	23.66%	46.99%	-0.35	-4.2	18
2013-12-07	Grasshopper	D 1-1	73.6	1846	1774	54.16%	22.49%	23.35%	+0.65	-1.0	32
2013-12-07	@ Basel	D 1-1	73.6	1774	1846	23.35%	22.49%	54.16%	-0.65	+1.0	29
2013-12-07	Lausanne-Sport	W 4-0	45.4	1733	1581	63.38%	19.88%	16.74%	+1.08	+9.5	21
2013-12-07	@ Zurich	L 0-4	45.4	1581	1733	16.74%	19.88%	63.38%	-1.08	-9.5	4
2013-12-08	Aarau	W 1-0	56.3	1720	1675	50.76%	23.14%	26.10%	+0.51	+4.1	31
2013-12-08	@ Luzern	L 0-1	56.3	1675	1720	26.10%	23.14%	50.76%	-0.51	-4.1	15
2013-12-08	Sion	W 2-0	50.5	1757	1658	57.48%	21.70%	20.82%	+0.80	+6.2	29
2013-12-08	@ St. Gallen	L 0-2	50.5	1658	1757	20.82%	21.70%	57.48%	-0.80	-6.2	17
2013-12-08	Young Boys	W 1-0	59.7	1725	1754	40.70%	24.12%	35.18%	+0.11	+5.2	24
2013-12-08	@ Thun	L 0-1	59.7	1754	1725	35.18%	24.12%	40.70%	-0.11	-5.2	28
2013-12-14	Luzern	D 1-1	74.0	1845	1724	60.05%	20.97%	18.98%	+0.92	-1.3	33
2013-12-14	@ Basel	D 1-1	74.0	1724	1845	18.98%	20.97%	60.05%	-0.92	+1.3	32
2013-12-14	Sion	W 3-1	61.4	1571	1652	33.50%	24.04%	42.46%	-0.17	+9.9	7
2013-12-14	@ Lausanne-Sport	L 1-3	61.4	1652	1571	42.46%	24.04%	33.50%	+0.17	-9.9	17
2013-12-15	Grasshopper	D 1-1	72.9	1742	1775	40.11%	24.14%	35.75%	+0.08	-0.1	22
2013-12-15	@ Zurich	D 1-1	72.9	1775	1742	35.75%	24.14%	40.11%	-0.08	+0.1	30
2013-12-15	St. Gallen	W 1-0	59.3	1748	1764	42.65%	24.03%	33.32%	+0.18	+5.0	31
2013-12-15	@ Young Boys	L 0-1	59.3	1764	1748	33.32%	24.03%	42.65%	-0.18	-5.0	29
2013-12-15	Thun	W 2-1	66.2	1671	1730	36.43%	24.15%	39.41%	-0.06	+5.4	18
2013-12-15	@ Aarau	L 1-2	66.2	1730	1671	39.41%	24.15%	36.43%	+0.06	-5.4	24
2014-02-01	Sion	W 1-0	54.2	1742	1642	57.57%	21.67%	20.76%	+0.80	+3.3	25
2014-02-01	@ Zurich	L 0-1	54.2	1642	1742	20.76%	21.67%	57.57%	-0.80	-3.3	17
2014-02-01	St. Gallen	D 1-1	72.6	1676	1759	33.23%	24.02%	42.75%	-0.18	+0.3	19
2014-02-01	@ Aarau	D 1-1	72.6	1759	1676	42.75%	24.02%	33.23%	+0.18	-0.3	30
2014-02-02	Basel	L 1-3	54.4	1581	1844	15.81%	19.36%	64.83%	-1.16	-4.1	7
2014-02-02	@ Lausanne-Sport	W 3-1	54.4	1844	1581	64.83%	19.36%	15.81%	+1.16	+4.1	36
2014-02-02	Grasshopper	L 1-3	62.7	1725	1776	37.64%	24.16%	38.20%	-0.01	-9.0	32
2014-02-02	@ Luzern	W 3-1	62.7	1776	1725	38.20%	24.16%	37.64%	+0.01	+9.0	33
2014-02-02	Thun	W 2-1	62.9	1753	1724	48.69%	23.45%	27.86%	+0.42	+4.1	34
2014-02-02	@ Young Boys	L 1-2	62.9	1724	1753	27.86%	23.45%	48.69%	-0.42	-4.1	24
2014-02-08	Luzern	W 2-1	63.7	1720	1716	45.36%	23.83%	30.81%	+0.29	+4.4	27
2014-02-08	@ Thun	L 1-2	63.7	1716	1720	30.81%	23.83%	45.36%	-0.29	-4.4	32
2014-02-08	Young Boys	W 3-2	66.3	1848	1758	56.44%	21.96%	21.59%	+0.75	+3.1	39
2014-02-08	@ Basel	L 2-3	66.3	1758	1848	21.59%	21.96%	56.44%	-0.75	-3.1	34
2014-02-09	Aarau	L 1-2	71.4	1785	1676	58.51%	21.42%	20.07%	+0.85	-7.4	33
2014-02-09	@ Grasshopper	W 2-1	71.4	1676	1785	20.07%	21.42%	58.51%	-0.85	+7.4	22
2014-02-09	Lausanne-Sport	L 1-2	67.5	1639	1577	52.89%	22.75%	24.36%	+0.60	-6.8	17
2014-02-09	@ Sion	W 2-1	67.5	1577	1639	24.36%	22.75%	52.89%	-0.60	+6.8	10
2014-02-09	Zurich	L 0-2	59.3	1758	1745	46.56%	23.71%	29.73%	+0.33	-12.2	30
2014-02-09	@ St. Gallen	W 2-0	59.3	1745	1758	29.73%	23.71%	46.56%	-0.33	+12.2	28
2014-02-15	Aarau	W 3-2	67.9	1712	1684	48.53%	23.47%	28.00%	+0.41	+3.9	35
2014-02-15	@ Luzern	L 2-3	67.9	1684	1712	28.00%	23.47%	48.53%	-0.41	-3.9	22
2014-02-15	Sion	W 1-0	50.9	1851	1632	70.16%	17.20%	12.64%	+1.45	+2.0	42
2014-02-15	@ Basel	L 0-1	50.9	1632	1851	12.64%	17.20%	70.16%	-1.45	-2.0	17
2014-02-16	Grasshopper	L 1-5	59.3	1746	1777	40.44%	24.13%	35.44%	+0.10	-17.3	30
2014-02-16	@ St. Gallen	W 5-1	59.3	1777	1746	35.44%	24.13%	40.44%	-0.10	+17.3	36
2014-02-16	Lausanne-Sport	W 5-3	59.4	1754	1584	65.34%	19.17%	15.49%	+1.18	+3.4	37
2014-02-16	@ Young Boys	L 3-5	59.4	1584	1754	15.49%	19.17%	65.34%	-1.18	-3.4	10
2014-02-16	Thun	W 3-1	59.3	1758	1725	49.20%	23.38%	27.42%	+0.44	+7.0	31
2014-02-16	@ Zurich	L 1-3	59.3	1725	1758	27.42%	23.38%	49.20%	-0.44	-7.0	27
2014-02-22	Sion	W 3-1	56.4	1718	1630	56.12%	22.04%	21.84%	+0.74	+5.7	30
2014-02-22	@ Thun	L 1-3	56.4	1630	1718	21.84%	22.04%	56.12%	-0.74	-5.7	17
2014-02-22	Zurich	L 1-2	64.5	1680	1765	32.96%	24.01%	43.04%	-0.19	-4.7	22
2014-02-22	@ Aarau	W 2-1	64.5	1765	1680	43.04%	24.01%	32.96%	+0.19	+4.7	34
2014-02-23	Basel	D 1-1	73.2	1794	1853	36.49%	24.15%	39.36%	-0.05	+0.1	37
2014-02-23	@ Grasshopper	D 1-1	73.2	1853	1794	39.36%	24.15%	36.49%	+0.05	-0.1	43
2014-02-23	St. Gallen	W 3-0	57.0	1581	1729	25.44%	23.00%	51.56%	-0.54	+19.4	13
2014-02-23	@ Lausanne-Sport	L 0-3	57.0	1729	1581	51.56%	23.00%	25.44%	+0.54	-19.4	30
2014-02-23	Young Boys	L 1-2	66.4	1716	1758	38.82%	24.16%	37.02%	+0.03	-5.3	35
2014-02-23	@ Luzern	W 2-1	66.4	1758	1716	37.02%	24.16%	38.82%	-0.03	+5.3	40
2014-02-26	Young Boys	W 3-0	57.4	1624	1763	26.45%	23.20%	50.35%	-0.49	+19.0	20
2014-02-26	@ Sion	L 0-3	57.4	1763	1624	50.35%	23.20%	26.45%	+0.49	-19.0	40
2014-03-01	Aarau	L 0-1	57.7	1600	1675	34.20%	24.08%	41.73%	-0.14	-5.1	13
2014-03-01	@ Lausanne-Sport	W 1-0	57.7	1675	1600	41.73%	24.08%	34.20%	+0.14	+5.1	25
2014-03-01	Grasshopper	W 3-1	61.9	1769	1795	41.24%	24.10%	34.66%	+0.13	+8.4	37
2014-03-01	@ Zurich	L 1-3	61.9	1795	1769	34.66%	24.10%	41.24%	-0.13	-8.4	37
2014-03-02	Basel	D 2-2	79.3	1723	1853	27.48%	23.39%	49.13%	-0.44	+0.5	31
2014-03-02	@ Thun	D 2-2	79.3	1853	1723	49.13%	23.39%	27.48%	+0.44	-0.5	44
2014-03-02	Luzern	D 1-1	72.6	1709	1710	44.67%	23.89%	31.44%	+0.26	-0.4	31
2014-03-02	@ St. Gallen	D 1-1	72.6	1710	1709	31.44%	23.89%	44.67%	-0.26	+0.4	36
2014-03-08	Lausanne-Sport	W 2-1	56.7	1786	1595	67.45%	18.35%	14.21%	+1.30	+2.1	40
2014-03-08	@ Grasshopper	L 1-2	56.7	1595	1786	14.21%	18.35%	67.45%	-1.30	-2.1	13
2014-03-08	St. Gallen	D 1-1	74.2	1852	1709	62.47%	20.20%	17.33%	+1.04	-1.4	45
2014-03-08	@ Basel	D 1-1	74.2	1709	1852	17.33%	20.20%	62.47%	-1.04	+1.4	32
2014-03-09	Luzern	W 3-2	71.5	1643	1711	35.29%	24.12%	40.59%	-0.10	+5.2	23
2014-03-09	@ Sion	L 2-3	71.5	1711	1643	40.59%	24.12%	35.29%	+0.10	-5.2	36
2014-03-09	Thun	L 1-4	59.7	1680	1724	38.64%	24.16%	37.20%	+0.03	-13.0	25
2014-03-09	@ Aarau	W 4-1	59.7	1724	1680	37.20%	24.16%	38.64%	-0.03	+13.0	34
2014-03-09	Zurich	L 1-3	63.5	1744	1778	40.07%	24.14%	35.79%	+0.08	-9.4	40
2014-03-09	@ Young Boys	W 3-1	63.5	1778	1744	35.79%	24.14%	40.07%	-0.08	+9.4	40
2014-03-12	Aarau	L 1-2	66.2	1649	1667	42.14%	24.06%	33.80%	+0.16	-5.7	23
2014-03-12	@ Sion	W 2-1	66.2	1667	1649	33.80%	24.06%	42.14%	-0.16	+5.7	28
2014-03-15	Lausanne-Sport	D 2-2	78.9	1737	1593	62.55%	20.17%	17.28%	+1.04	-1.1	35
2014-03-15	@ Thun	D 2-2	78.9	1593	1737	17.28%	20.17%	62.55%	-1.04	+1.1	14
2014-03-15	Young Boys	D 1-1	72.7	1711	1735	41.40%	24.09%	34.51%	+0.13	-0.2	33
2014-03-15	@ St. Gallen	D 1-1	72.7	1735	1711	34.51%	24.09%	41.40%	-0.13	+0.2	41
2014-03-16	Aarau	W 5-0	46.8	1851	1673	66.11%	18.88%	15.01%	+1.23	+10.4	48
2014-03-16	@ Basel	L 0-5	46.8	1673	1851	15.01%	18.88%	66.11%	-1.23	-10.4	28
2014-03-16	Sion	W 4-2	59.2	1788	1643	62.68%	20.12%	17.19%	+1.05	+4.0	43
2014-03-16	@ Grasshopper	L 2-4	59.2	1643	1788	17.19%	20.12%	62.68%	-1.05	-4.0	23
2014-03-16	Zurich	W 1-0	62.0	1705	1787	33.34%	24.03%	42.63%	-0.18	+6.0	39
2014-03-16	@ Luzern	L 0-1	62.0	1787	1705	42.63%	24.03%	33.34%	+0.18	-6.1	40
2014-03-22	Sion	W 2-0	52.4	1663	1639	48.00%	23.54%	28.46%	+0.39	+8.3	31
2014-03-22	@ Aarau	L 0-2	52.4	1639	1663	28.46%	23.54%	48.00%	-0.39	-8.3	23
2014-03-22	Thun	W 1-0	59.4	1710	1736	41.21%	24.10%	34.69%	+0.12	+5.2	36
2014-03-22	@ St. Gallen	L 0-1	59.4	1736	1710	34.69%	24.10%	41.21%	-0.12	-5.2	35
2014-03-23	Basel	D 0-0	68.8	1781	1861	33.51%	24.04%	42.45%	-0.17	+0.3	41
2014-03-23	@ Zurich	D 0-0	68.8	1861	1781	42.45%	24.04%	33.51%	+0.17	-0.3	49
2014-03-23	Grasshopper	L 0-4	54.0	1735	1792	36.68%	24.15%	39.17%	-0.05	-19.3	41
2014-03-23	@ Young Boys	W 4-0	54.0	1792	1735	39.17%	24.15%	36.68%	+0.05	+19.3	46
2014-03-23	Luzern	W 1-0	62.0	1594	1711	28.85%	23.60%	47.55%	-0.37	+6.6	17
2014-03-23	@ Lausanne-Sport	L 0-1	62.0	1711	1594	47.55%	23.60%	28.85%	+0.37	-6.6	39
2014-03-29	St. Gallen	D 1-1	72.0	1631	1715	32.92%	24.00%	43.07%	-0.20	+0.3	24
2014-03-29	@ Sion	D 1-1	72.0	1715	1631	43.07%	24.00%	32.92%	+0.20	-0.3	37
2014-03-29	Young Boys	W 2-1	65.5	1671	1716	38.48%	24.16%	37.36%	+0.02	+5.2	34
2014-03-29	@ Aarau	L 1-2	65.5	1716	1671	37.36%	24.16%	38.48%	-0.02	-5.2	41
2014-03-30	Basel	L 0-2	52.6	1705	1861	24.60%	22.81%	52.59%	-0.58	-7.3	39
2014-03-30	@ Luzern	W 2-0	52.6	1861	1705	52.59%	22.81%	24.60%	+0.58	+7.3	52
2014-03-30	Grasshopper	L 1-3	61.5	1731	1811	33.46%	24.04%	42.50%	-0.17	-8.2	35
2014-03-30	@ Thun	W 3-1	61.5	1811	1731	42.50%	24.04%	33.46%	+0.17	+8.2	49
2014-03-30	Lausanne-Sport	L 0-3	60.9	1781	1601	66.41%	18.76%	14.83%	+1.24	-23.9	41
2014-03-30	@ Zurich	W 3-0	60.9	1601	1781	14.83%	18.76%	66.41%	-1.24	+23.9	20
2014-04-05	Aarau	W 4-1	55.8	1715	1676	50.01%	23.26%	26.73%	+0.47	+9.6	40
2014-04-05	@ St. Gallen	L 1-4	55.8	1676	1715	26.73%	23.26%	50.01%	-0.47	-9.6	34
2014-04-05	Zurich	W 2-0	52.5	1820	1757	52.98%	22.73%	24.29%	+0.60	+7.2	52
2014-04-05	@ Grasshopper	L 0-2	52.5	1757	1820	24.29%	22.73%	52.98%	-0.60	-7.2	41
2014-04-06	Luzern	W 2-1	63.2	1710	1698	46.54%	23.71%	29.75%	+0.33	+4.3	44
2014-04-06	@ Young Boys	L 1-2	63.2	1698	1710	29.75%	23.71%	46.54%	-0.33	-4.3	39
2014-04-06	Sion	L 0-1	60.3	1624	1631	43.87%	23.95%	32.17%	+0.23	-6.2	20
2014-04-06	@ Lausanne-Sport	W 1-0	60.3	1631	1624	32.17%	23.95%	43.87%	-0.23	+6.2	27
2014-04-06	Thun	D 0-0	69.9	1868	1722	62.75%	20.10%	17.15%	+1.05	-1.6	53
2014-04-06	@ Basel	D 0-0	69.9	1722	1868	17.15%	20.10%	62.75%	-1.05	+1.6	36
2014-04-12	Aarau	W 2-0	51.9	1724	1667	52.39%	22.85%	24.76%	+0.57	+7.3	39
2014-04-12	@ Thun	L 0-2	51.9	1667	1724	24.76%	22.85%	52.39%	-0.57	-7.3	34
2014-04-12	Grasshopper	L 0-2	50.3	1618	1827	19.79%	21.31%	58.91%	-0.87	-5.9	20
2014-04-12	@ Lausanne-Sport	W 2-0	50.3	1827	1618	58.91%	21.31%	19.79%	+0.87	+5.9	55
2014-04-13	Basel	L 0-1	53.7	1637	1867	18.13%	20.59%	61.29%	-0.98	-2.9	27
2014-04-13	@ Sion	W 1-0	53.7	1867	1637	61.29%	20.59%	18.13%	+0.98	+2.9	56
2014-04-13	St. Gallen	W 1-0	59.6	1693	1725	40.35%	24.13%	35.52%	+0.09	+5.2	42
2014-04-13	@ Luzern	L 0-1	59.6	1725	1693	35.52%	24.13%	40.35%	-0.09	-5.3	40
2014-04-13	Young Boys	D 2-2	78.9	1750	1715	49.54%	23.33%	27.13%	+0.45	-0.5	42
2014-04-13	@ Zurich	D 2-2	78.9	1715	1750	27.13%	23.33%	49.54%	-0.45	+0.5	45
2014-04-16	Luzern	L 1-2	65.8	1659	1699	39.25%	24.15%	36.60%	+0.05	-5.4	34
2014-04-16	@ Aarau	W 2-1	65.8	1699	1659	36.60%	24.15%	39.25%	-0.05	+5.4	45
2014-04-16	Thun	L 0-5	60.5	1833	1731	57.73%	21.63%	20.64%	+0.81	-34.3	55
2014-04-16	@ Grasshopper	W 5-0	60.5	1731	1833	20.64%	21.63%	57.73%	-0.81	+34.3	42
2014-04-16	Zurich	W 4-2	60.6	1870	1750	59.88%	21.02%	19.10%	+0.91	+4.4	59
2014-04-16	@ Basel	L 2-4	60.6	1750	1870	19.10%	21.02%	59.88%	-0.91	-4.4	42
2014-04-17	Lausanne-Sport	D 0-0	68.2	1720	1612	58.42%	21.44%	20.14%	+0.84	-1.3	41
2014-04-17	@ St. Gallen	D 0-0	68.2	1612	1720	20.14%	21.44%	58.42%	-0.84	+1.3	21
2014-04-17	Sion	D 0-0	68.1	1715	1634	55.30%	22.24%	22.46%	+0.70	-1.1	46
2014-04-17	@ Young Boys	D 0-0	68.1	1634	1715	22.46%	22.24%	55.30%	-0.70	+1.1	28
2014-04-26	Aarau	W 2-0	53.9	1635	1654	42.21%	24.05%	33.74%	+0.16	+9.5	31
2014-04-26	@ Sion	L 0-2	53.9	1654	1635	33.74%	24.05%	42.21%	-0.16	-9.5	34
2014-04-26	Luzern	L 1-2	69.5	1745	1704	50.32%	23.21%	26.47%	+0.49	-6.5	42
2014-04-26	@ Zurich	W 2-1	69.5	1704	1745	26.47%	23.21%	50.32%	-0.49	+6.5	48
2014-04-27	Grasshopper	D 1-1	73.7	1874	1799	54.64%	22.39%	22.97%	+0.67	-1.0	60
2014-04-27	@ Basel	D 1-1	73.7	1799	1874	22.97%	22.39%	54.64%	-0.67	+1.0	56
2014-04-27	St. Gallen	W 4-0	50.3	1766	1718	51.11%	23.08%	25.81%	+0.52	+14.4	45
2014-04-27	@ Thun	L 0-4	50.3	1718	1766	25.81%	23.08%	51.11%	-0.52	-14.5	41
2014-04-27	Young Boys	L 0-1	57.3	1614	1714	30.92%	23.84%	45.24%	-0.28	-4.7	21
2014-04-27	@ Lausanne-Sport	W 1-0	57.3	1714	1614	45.24%	23.84%	30.92%	+0.28	+4.7	49
2014-05-03	Sion	L 0-1	64.0	1710	1645	53.39%	22.65%	23.96%	+0.62	-7.3	48
2014-05-03	@ Luzern	W 1-0	64.0	1645	1710	23.96%	22.65%	53.39%	-0.62	+7.3	34
2014-05-03	Zurich	L 1-2	69.7	1780	1739	50.32%	23.21%	26.47%	+0.49	-6.5	45
2014-05-03	@ Thun	W 2-1	69.7	1739	1780	26.47%	23.21%	50.32%	-0.49	+6.5	45
2014-05-04	Basel	L 0-3	49.9	1704	1873	23.30%	22.48%	54.23%	-0.65	-10.1	41
2014-05-04	@ St. Gallen	W 3-0	49.9	1873	1704	54.23%	22.48%	23.30%	+0.65	+10.1	63
2014-05-04	Lausanne-Sport	W 3-1	57.1	1644	1609	49.53%	23.33%	27.14%	+0.45	+6.9	37
2014-05-04	@ Aarau	L 1-3	57.1	1609	1644	27.14%	23.33%	49.53%	-0.45	-6.9	21
2014-05-04	Young Boys	W 5-0	50.0	1800	1719	55.25%	22.25%	22.50%	+0.70	+15.7	59
2014-05-04	@ Grasshopper	L 0-5	50.0	1719	1800	22.50%	22.25%	55.25%	-0.70	-15.7	49
2014-05-06	Zurich	W 1-0	62.0	1652	1745	31.86%	23.92%	44.22%	-0.24	+6.2	37
2014-05-06	@ Sion	L 0-1	62.0	1745	1652	44.22%	23.92%	31.86%	+0.24	-6.2	45
2014-05-07	Aarau	D 2-2	78.3	1703	1651	51.67%	22.98%	25.35%	+0.54	-0.6	50
2014-05-07	@ Young Boys	D 2-2	78.3	1651	1703	25.35%	22.98%	51.67%	-0.54	+0.6	38
2014-05-07	Luzern	W 3-1	54.5	1883	1703	66.34%	18.79%	14.87%	+1.24	+3.8	66
2014-05-07	@ Basel	L 1-3	54.5	1703	1883	14.87%	18.79%	66.34%	-1.24	-3.8	48
2014-05-07	St. Gallen	W 2-0	50.2	1815	1694	60.05%	20.97%	18.98%	+0.92	+5.7	62
2014-05-07	@ Grasshopper	L 0-2	50.2	1694	1815	18.98%	20.97%	60.05%	-0.92	-5.7	41
2014-05-08	Thun	L 1-3	57.1	1602	1774	23.08%	22.42%	54.50%	-0.67	-6.0	21
2014-05-08	@ Lausanne-Sport	W 3-1	57.1	1774	1602	54.50%	22.42%	23.08%	+0.67	+6.0	48
2014-05-10	Grasshopper	W 4-0	58.6	1652	1821	23.33%	22.48%	54.19%	-0.65	+26.4	41
2014-05-10	@ Aarau	L 0-4	58.6	1821	1652	54.19%	22.48%	23.33%	+0.65	-26.4	62
2014-05-10	St. Gallen	D 2-2	78.9	1739	1688	51.56%	23.00%	25.44%	+0.54	-0.6	46
2014-05-10	@ Zurich	D 2-2	78.9	1688	1739	25.44%	23.00%	51.56%	-0.54	+0.6	42
2014-05-11	Basel	W 3-1	67.8	1703	1887	21.88%	22.05%	56.07%	-0.74	+12.4	53
2014-05-11	@ Young Boys	L 1-3	67.8	1887	1703	56.07%	22.05%	21.88%	+0.74	-12.4	66
2014-05-11	Lausanne-Sport	L 3-4	78.1	1699	1596	57.94%	21.57%	20.48%	+0.82	-6.8	48
2014-05-11	@ Luzern	W 4-3	78.1	1596	1699	20.48%	21.57%	57.94%	-0.82	+6.8	24
2014-05-11	Thun	W 3-1	65.3	1658	1780	28.43%	23.54%	48.04%	-0.39	+10.9	40
2014-05-11	@ Sion	L 1-3	65.3	1780	1658	48.04%	23.54%	28.43%	+0.39	-10.9	48
2014-05-15	Basel	L 1-3	57.0	1678	1875	20.81%	21.69%	57.49%	-0.80	-5.4	41
2014-05-15	@ Aarau	W 3-1	57.0	1875	1678	57.49%	21.69%	20.81%	+0.80	+5.4	69
2014-05-15	Luzern	W 4-1	53.9	1795	1692	57.81%	21.61%	20.58%	+0.81	+7.5	65
2014-05-15	@ Grasshopper	L 1-4	53.9	1692	1795	20.58%	21.61%	57.81%	-0.81	-7.6	48
2014-05-15	Sion	W 2-0	53.1	1689	1669	47.40%	23.61%	28.99%	+0.37	+8.4	45
2014-05-15	@ St. Gallen	L 0-2	53.1	1669	1689	28.99%	23.61%	47.40%	-0.37	-8.4	40
2014-05-15	Young Boys	L 0-3	58.3	1769	1715	51.91%	22.94%	25.15%	+0.55	-19.5	48
2014-05-15	@ Thun	W 3-0	58.3	1715	1769	25.15%	22.94%	51.91%	-0.55	+19.5	56
2014-05-15	Zurich	L 0-1	56.1	1603	1738	26.80%	23.27%	49.93%	-0.47	-4.2	24
2014-05-15	@ Lausanne-Sport	W 1-0	56.1	1738	1603	49.93%	23.27%	26.80%	+0.47	+4.2	49
2014-05-18	Aarau	D 2-2	78.9	1743	1673	53.93%	22.54%	23.53%	+0.64	-0.7	50
2014-05-18	@ Zurich	D 2-2	78.9	1673	1743	23.53%	22.54%	53.93%	-0.64	+0.7	42
2014-05-18	Grasshopper	W 3-1	66.1	1661	1802	26.19%	23.15%	50.66%	-0.50	+11.4	43
2014-05-18	@ Sion	L 1-3	66.1	1802	1661	50.66%	23.15%	26.19%	+0.50	-11.4	65
2014-05-18	Lausanne-Sport	W 4-2	55.5	1880	1599	75.67%	14.62%	9.71%	+1.78	+2.1	72
2014-05-18	@ Basel	L 2-4	55.5	1599	1880	9.71%	14.62%	75.67%	-1.78	-2.1	24
2014-05-18	St. Gallen	W 2-0	52.9	1734	1697	49.80%	23.29%	26.91%	+0.47	+7.9	59
2014-05-18	@ Young Boys	L 0-2	52.9	1697	1734	26.91%	23.29%	49.80%	-0.47	-7.9	45
2014-05-18	Thun	W 3-0	55.0	1685	1749	35.69%	24.13%	40.17%	-0.09	+15.8	51
2014-05-18	@ Luzern	L 0-3	55.0	1749	1685	40.17%	24.13%	35.69%	+0.09	-15.8	48

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	2014-03-30	14.83%	Lausanne-Sport	1601	3	@ Zurich	1781	0
2	2014-02-09	20.07%	Aarau	1676	2	@ Grasshopper	1785	1
3	2014-05-11	20.48%	Lausanne-Sport	1596	4	@ Luzern	1699	3
4	2014-04-16	20.64%	Thun	1731	5	@ Grasshopper	1833	0
5	2013-09-26	21.15%	Aarau	1677	2	@ Zurich	1773	1
6	2014-05-11	21.88%	@ Young Boys	1703	3	Basel	1887	1
7	2013-09-29	22.87%	Lausanne-Sport	1608	3	@ Aarau	1684	2
8	2014-05-10	23.33%	@ Aarau	1652	4	Grasshopper	1821	0
9	2013-10-05	23.53%	Luzern	1701	2	@ Zurich	1771	0
10	2013-11-30	23.65%	Luzern	1713	2	@ Grasshopper	1781	1
11	2014-05-03	23.96%	Sion	1645	1	@ Luzern	1710	0
12	2014-02-09	24.36%	Lausanne-Sport	1577	2	@ Sion	1639	1
13	2013-08-11	25.08%	Zurich	1763	2	@ Basel	1817	1
14	2014-05-15	25.15%	Young Boys	1715	3	@ Thun	1769	0
15	2013-10-27	25.25%	@ Sion	1638	2	Grasshopper	1788	0
16	2013-08-04	25.32%	Young Boys	1722	3	@ Zurich	1774	1
17	2014-02-23	25.44%	@ Lausanne-Sport	1581	3	St. Gallen	1729	0
18	2013-08-31	25.59%	Sion	1635	1	@ Aarau	1684	0
19	2014-05-18	26.19%	@ Sion	1661	3	Grasshopper	1802	1
20	2014-02-26	26.45%	@ Sion	1624	3	Young Boys	1763	0
21	2014-04-26	26.47%	Luzern	1704	2	@ Zurich	1745	1
22	2014-05-03	26.47%	Zurich	1739	2	@ Thun	1780	1
23	2013-09-21	26.56%	Luzern	1704	1	@ Young Boys	1745	0
24	2013-09-28	26.87%	St. Gallen	1752	1	@ Grasshopper	1790	0
25	2013-11-03	26.96%	Young Boys	1744	1	@ Grasshopper	1781	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	2014-04-16	34.30	Thun	5	1731	20.64%	@ Grasshopper	0	1833	57.73%	21.63%
2	2014-05-10	26.39	@ Aarau	4	1652	23.33%	Grasshopper	0	1821	54.19%	22.48%
3	2014-03-30	23.91	Lausanne-Sport	3	1601	14.83%	@ Zurich	0	1781	66.41%	18.76%
4	2013-08-10	20.59	Young Boys	4	1734	35.90%	@ Aarau	0	1700	39.96%	24.14%
5	2014-05-15	19.49	Young Boys	3	1715	25.15%	@ Thun	0	1769	51.91%	22.94%
6	2014-02-23	19.38	@ Lausanne-Sport	3	1581	25.44%	St. Gallen	0	1729	51.56%	23.00%
7	2014-03-23	19.29	Grasshopper	4	1792	39.17%	@ Young Boys	0	1735	36.68%	24.15%
8	2014-02-26	18.99	@ Sion	3	1624	26.45%	Young Boys	0	1763	50.35%	23.20%
9	2013-10-20	18.13	@ Aarau	5	1674	33.14%	Zurich	1	1757	42.84%	24.02%
10	2014-02-16	17.32	Grasshopper	5	1777	35.44%	@ St. Gallen	1	1746	40.44%	24.13%
11	2013-11-02	16.01	@ Sion	3	1651	35.12%	Luzern	0	1719	40.76%	24.12%
12	2014-05-18	15.83	@ Luzern	3	1685	35.69%	Thun	0	1749	40.17%	24.13%
13	2014-05-04	15.71	@ Grasshopper	5	1800	55.25%	Young Boys	0	1719	22.50%	22.25%
14	2014-04-27	14.45	@ Thun	4	1766	51.11%	St. Gallen	0	1718	25.81%	23.08%
15	2013-10-05	13.85	Luzern	2	1701	23.53%	@ Zurich	0	1771	53.93%	22.54%
16	2013-10-27	13.39	@ Sion	2	1638	25.25%	Grasshopper	0	1788	51.80%	22.96%
17	2014-03-09	12.95	Thun	4	1724	37.20%	@ Aarau	1	1680	38.64%	24.16%
18	2014-05-11	12.40	@ Young Boys	3	1703	21.88%	Basel	1	1887	56.07%	22.05%
19	2014-02-09	12.25	Zurich	2	1745	29.73%	@ St. Gallen	0	1758	46.56%	23.71%
20	2013-07-14	11.61	Grasshopper	2	1756	32.51%	@ St. Gallen	0	1747	43.52%	23.98%
21	2013-08-04	11.58	Young Boys	3	1722	25.32%	@ Zurich	1	1774	51.70%	22.97%
22	2014-05-18	11.39	@ Sion	3	1661	26.19%	Grasshopper	1	1802	50.66%	23.15%
23	2013-10-26	11.34	@ Young Boys	3	1733	50.22%	Aarau	0	1692	26.56%	23.22%
24	2014-05-11	10.89	@ Sion	3	1658	28.43%	Thun	1	1780	48.04%	23.54%
25	2013-11-03	10.87	St. Gallen	3	1752	51.73%	@ Lausanne-Sport	0	1602	25.30%	22.97%

Most & Least Exciting Games

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

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2013-09-28	80.4	@ Basel	2	1829	67.23%	Sion	2	1640	14.34%	18.43%
2	2014-03-02	79.3	@ Thun	2	1723	27.48%	Basel	2	1853	49.13%	23.39%
3	2013-12-01	79.1	@ Young Boys	2	1753	31.86%	Basel	2	1846	44.22%	23.93%
4	2014-03-15	78.9	@ Thun	2	1737	62.55%	Lausanne-Sport	2	1593	17.28%	20.17%
5	2014-04-13	78.9	@ Zurich	2	1750	49.54%	Young Boys	2	1715	27.13%	23.33%
6	2014-05-10	78.9	@ Zurich	2	1739	51.56%	St. Gallen	2	1688	25.44%	23.00%
7	2014-05-18	78.9	@ Zurich	2	1743	53.93%	Aarau	2	1673	23.53%	22.54%
8	2013-08-04	78.6	@ Thun	2	1720	47.65%	Aarau	2	1699	28.77%	23.58%
9	2013-10-30	78.6	@ Aarau	2	1681	34.79%	St. Gallen	2	1752	41.10%	24.10%
10	2014-05-07	78.3	@ Young Boys	2	1703	51.67%	Aarau	2	1651	25.35%	22.98%
11	2013-10-05	78.2	@ Sion	2	1641	32.02%	Young Boys	2	1733	44.05%	23.94%
12	2014-05-11	78.1	Lausanne-Sport	4	1596	20.48%	@ Luzern	3	1699	57.94%	21.57%
13	2013-09-29	74.6	Lausanne-Sport	3	1608	22.87%	@ Aarau	2	1684	54.77%	22.36%
14	2014-03-08	74.2	@ Basel	1	1852	62.47%	St. Gallen	1	1709	17.33%	20.20%
15	2013-12-14	74.0	@ Basel	1	1845	60.05%	Luzern	1	1724	18.98%	20.97%
16	2014-04-27	73.7	@ Basel	1	1874	54.64%	Grasshopper	1	1799	22.97%	22.39%
17	2013-12-07	73.6	@ Basel	1	1846	54.16%	Grasshopper	1	1774	23.35%	22.49%
18	2013-11-02	73.4	@ Aarau	1	1681	24.31%	Basel	1	1840	52.95%	22.74%
19	2014-02-23	73.2	@ Grasshopper	1	1794	36.49%	Basel	1	1853	39.36%	24.15%
20	2013-07-21	73.1	@ Grasshopper	1	1768	38.38%	Basel	1	1813	37.46%	24.16%
21	2013-08-03	73.1	@ St. Gallen	1	1736	33.33%	Basel	1	1818	42.64%	24.03%
22	2013-08-24	73.0	@ Luzern	1	1714	31.42%	Basel	1	1811	44.69%	23.89%
23	2013-10-06	72.9	@ Thun	1	1714	35.06%	Grasshopper	1	1783	40.83%	24.11%
24	2013-12-15	72.9	@ Zurich	1	1742	40.11%	Grasshopper	1	1775	35.75%	24.14%
25	2013-07-28	72.7	@ Luzern	3	1705	34.22%	Zurich	2	1780	41.70%	24.08%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2013-12-07	45.4	@ Zurich	4	1733	63.38%	Lausanne-Sport	0	1581	16.74%	19.88%
2	2014-03-16	46.8	@ Basel	5	1851	66.11%	Aarau	0	1673	15.01%	18.88%
3	2013-10-20	48.0	@ Grasshopper	2	1783	65.48%	Lausanne-Sport	0	1611	15.40%	19.12%
4	2013-07-27	48.2	@ Basel	2	1813	65.80%	Lausanne-Sport	0	1638	15.20%	19.00%
5	2013-11-03	49.6	St. Gallen	3	1752	51.73%	@ Lausanne-Sport	0	1602	25.30%	22.97%
6	2014-05-04	49.9	Basel	3	1873	54.23%	@ St. Gallen	0	1704	23.30%	22.48%
7	2014-05-04	50.0	@ Grasshopper	5	1800	55.25%	Young Boys	0	1719	22.50%	22.25%
8	2013-08-11	50.1	@ St. Gallen	2	1736	57.75%	Lausanne-Sport	0	1635	20.63%	21.63%
9	2013-10-19	50.1	@ Basel	3	1830	53.65%	St. Gallen	0	1763	23.75%	22.60%
10	2014-05-07	50.2	@ Grasshopper	2	1815	60.05%	St. Gallen	0	1694	18.98%	20.97%
11	2014-04-12	50.3	Grasshopper	2	1827	58.91%	@ Lausanne-Sport	0	1618	19.79%	21.31%
12	2014-04-27	50.3	@ Thun	4	1766	51.11%	St. Gallen	0	1718	25.81%	23.08%
13	2013-12-08	50.5	@ St. Gallen	2	1757	57.48%	Sion	0	1658	20.82%	21.70%
14	2013-10-26	50.6	@ Young Boys	3	1733	50.22%	Aarau	0	1692	26.56%	23.22%
15	2014-02-15	50.9	@ Basel	1	1851	70.16%	Sion	0	1632	12.64%	17.20%
16	2013-07-13	51.7	@ Young Boys	2	1702	51.94%	Sion	0	1648	25.13%	22.93%
17	2013-07-14	51.9	@ Luzern	2	1704	51.42%	Lausanne-Sport	0	1654	25.56%	23.02%
18	2014-04-12	51.9	@ Thun	2	1724	52.39%	Aarau	0	1667	24.76%	22.85%
19	2013-12-01	52.1	Thun	2	1716	48.86%	@ Lausanne-Sport	0	1589	27.71%	23.42%
20	2014-03-22	52.4	@ Aarau	2	1663	48.00%	Sion	0	1639	28.46%	23.54%
21	2014-04-05	52.5	@ Grasshopper	2	1820	52.98%	Zurich	0	1757	24.29%	22.73%
22	2014-03-30	52.6	Basel	2	1861	52.59%	@ Luzern	0	1705	24.60%	22.81%
23	2014-05-18	52.9	@ Young Boys	2	1734	49.80%	St. Gallen	0	1697	26.91%	23.29%
24	2014-05-15	53.1	@ St. Gallen	2	1689	47.40%	Sion	0	1669	28.99%	23.61%
25	2013-09-01	53.2	@ Thun	4	1719	57.08%	Lausanne-Sport	1	1623	21.12%	21.80%