2018-19 Super League Season

182 games

Final

Champion

Young Boys

91 points

Relegated

No relegation

Biggest Overachiever

Young Boys

14.93 points above expected

91 points · 76.07 expected points

Biggest Disappointment

Grasshopper

9.22 points below expected

25 points · 34.22 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	Young Boys	36	29	4	3	91	99	36	+63	76.07	+14.93
2	Basel	36	20	11	5	71	71	46	+25	64.92	+6.08
3	Lugano	36	10	16	10	46	50	49	+1	43.05	+2.95
4	Thun	36	12	10	14	46	57	58	-1	50.97	-4.97
5	Luzern	36	14	4	18	46	56	61	-5	46.39	-0.39
6	St. Gallen	36	13	7	16	46	49	58	-9	40.84	+5.16
7	Zurich	36	11	11	14	44	43	52	-9	49.60	-5.60
8	Sion	36	12	7	17	43	50	55	-5	49.36	-6.36
9	Neuchatel Xamax	36	9	10	17	37	44	65	-21	40.57	-3.57
10	Grasshopper	36	5	10	21	25	32	71	-39	34.22	-9.22

#	Team	GP	W	D	L	Pts	GF	GA	GD	SimPts	vsSim
1	Aarau	2	1	0	1	3	4	4	0	—	—
2	Neuchatel Xamax	2	1	0	1	3	4	4	0	—	—

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	91	76.07	+14.93
2	Basel	71	64.92	+6.08
3	St. Gallen	46	40.84	+5.16
4	Lugano	46	43.05	+2.95
5	Luzern	46	46.39	-0.39

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Grasshopper	25	34.22	-9.22
2	Sion	43	49.36	-6.36
3	Zurich	44	49.60	-5.60
4	Thun	46	50.97	-4.97
5	Neuchatel Xamax	37	40.57	-3.57

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	Young Boys	9	Jul 22 – Sep 29	1 in 221
2	Sion	3	Nov 11 – Dec 1	1 in 26
3	St. Gallen	2	Oct 28 – Nov 4	1 in 13
4	Neuchatel Xamax	2	Feb 10 – Feb 17	1 in 9
5	Grasshopper	2	Nov 11 – Nov 25	1 in 8

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Neuchatel Xamax	5	Aug 5 – Sep 22	1 in 106
2	Sion	5	Aug 12 – Sep 27	1 in 83
3	Grasshopper	6	Dec 2 – Feb 17	1 in 81
4	Thun	3	Mar 31 – Apr 7	1 in 20
5	Luzern	3	Sep 23 – Sep 30	1 in 15

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Lugano	10	Mar 3 – May 5	1 in 404
2	Grasshopper	6	Mar 31 – Apr 27	1 in 106
3	Basel	16	Dec 9 – May 4	1 in 50
4	Young Boys	19	Oct 20 – Apr 14	1 in 23
5	Neuchatel Xamax	4	Sep 26 – Oct 21	1 in 13

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Thun	11	Feb 24 – May 5	1 in 737
2	Grasshopper	21	Dec 2 – May 25	1 in 254
3	Neuchatel Xamax	11	Sep 30 – Feb 2	1 in 35
4	Lugano	8	Nov 4 – Feb 10	1 in 14
5	Sion	6	Apr 7 – May 12	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
Young Boys	1868	91	+5	12	11.1	+0.9
Basel	1806	71	+12	12	9.5	+2.5
St. Gallen	1575	46	+37	10	5.3	+4.7
Lugano	1622	46	+3	8	8.2	-0.2
Luzern	1617	46	+16	6	5.7	+0.3
Thun	1601	46	-24	6	6.4	-0.4
Zurich	1595	44	-1	7	6.2	+0.8
Sion	1610	43	-7	6	7.1	-1.1
Neuchatel Xamax	1561	40	-12	4	5.7	-1.7
Grasshopper	1460	25	-40	1	4.2	-3.2
Aarau	1530	3	+0	3	2.7	+0.3

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	BAS	GRA	LUG	LUZ	NX	SIO	SG	THU	YB	ZUR
Basel	—	3-1-0 8.24	1-3-0 7.88	3-1-0 7.55	2-2-0 7.93	4-0-0 7.16	2-1-1 8.15	2-1-1 7.40	0-1-3 4.23	3-1-0 7.39
Grasshopper	0-1-3 2.89	—	1-3-0 4.42	0-0-4 4.51	2-1-1 5.01	1-1-2 4.07	1-1-2 5.07	0-2-2 3.82	0-0-4 2.18	0-1-3 4.10
Lugano	0-3-1 3.19	0-3-1 6.57	—	2-0-2 5.23	0-3-1 5.98	1-3-0 4.60	3-1-0 5.88	1-1-2 4.71	0-1-3 2.59	3-1-0 4.67
Luzern	0-1-3 3.48	4-0-0 6.46	2-0-2 5.72	—	1-0-3 6.14	0-1-3 5.27	4-0-0 5.98	1-1-2 5.05	1-0-3 2.71	1-1-2 5.08
Neuchatel Xamax	0-2-2 3.16	1-1-2 5.94	1-3-0 4.97	3-0-1 4.81	—	1-1-2 4.81	0-0-4 5.57	2-1-1 4.57	1-0-3 2.22	0-2-2 4.55
Sion	0-0-4 3.84	2-1-1 6.92	0-3-1 6.36	3-1-0 5.68	2-1-1 6.14	—	1-1-2 6.39	2-0-2 5.32	0-0-4 2.84	2-0-2 5.30
St. Gallen	1-1-2 2.96	2-1-1 5.88	0-1-3 5.07	0-0-4 4.97	4-0-0 5.38	2-1-1 4.57	—	1-1-2 4.31	1-0-3 2.11	2-2-0 4.40
Thun	1-1-2 3.62	2-2-0 7.20	2-1-1 6.25	2-1-1 5.90	1-1-2 6.41	2-0-2 5.63	2-1-1 6.67	—	0-1-3 2.95	0-2-2 5.53
Young Boys	3-1-0 6.74	4-0-0 9.09	3-1-0 8.59	3-0-1 8.44	3-0-1 9.02	4-0-0 8.29	3-0-1 9.16	3-1-0 8.15	—	3-1-0 8.07
Zurich	0-1-3 3.64	3-1-0 6.88	0-1-3 6.30	2-1-1 5.87	2-2-0 6.42	2-0-2 5.65	0-2-2 6.56	2-2-0 5.42	0-1-3 3.03	—

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	0.95	+9.7
Allowed	0.82	-16.8
Differential	0.98	+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	4.40%	6.87%	4.67%	3.85%	1.92%	—	21.70%
1	6.87%	11.54%	6.87%	4.67%	1.65%	1.10%	32.69%
2	4.67%	6.87%	7.14%	4.40%	1.10%	0.55%	24.73%
3	3.85%	4.67%	4.40%	1.65%	—	—	14.56%
4	1.92%	1.65%	1.10%	—	—	—	4.67%
5+	—	1.10%	0.55%	—	—	—	1.65%
Total	21.70%	32.69%	24.73%	14.56%	4.67%	1.65%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.54	1.54	+0.00
SD	1.24	1.24	1.85
CV	0.80	0.80	—
Max	7	7	+6
Min	0	0	-6

Games Played: 182

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	—	—	—	—	—	2.78%
1	5.56%	22.22%	2.78%	5.56%	—	2.78%	38.89%
2	8.33%	8.33%	5.56%	—	2.78%	—	25.00%
3	8.33%	8.33%	8.33%	—	—	—	25.00%
4	2.78%	2.78%	2.78%	—	—	—	8.33%
5+	—	—	—	—	—	—	—
Total	27.78%	41.67%	19.44%	5.56%	2.78%	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.97	1.28	+0.69
SD	1.06	1.39	1.85
CV	0.54	1.08	—
Max	4	7	+4
Min	0	0	-6

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	11.11%	11.11%	8.33%	5.56%	—	44.44%
1	—	13.89%	5.56%	8.33%	—	2.78%	30.56%
2	—	8.33%	2.78%	2.78%	2.78%	—	16.67%
3	—	2.78%	2.78%	2.78%	—	—	8.33%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	8.33%	36.11%	22.22%	22.22%	8.33%	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.89	1.97	-1.08
SD	0.98	1.32	1.59
CV	1.10	0.67	—
Max	3	6	+2
Min	0	0	-5

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	8.33%	2.78%	—	—	—	16.67%
1	11.11%	16.67%	5.56%	2.78%	2.78%	—	38.89%
2	2.78%	5.56%	19.44%	2.78%	2.78%	—	33.33%
3	5.56%	2.78%	—	2.78%	—	—	11.11%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	25.00%	33.33%	27.78%	8.33%	5.56%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.39	1.36	+0.03
SD	0.90	1.13	1.30
CV	0.65	0.83	—
Max	3	4	+3
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	11.11%	8.33%	2.78%	2.78%	—	25.00%
1	2.78%	8.33%	8.33%	8.33%	—	—	27.78%
2	—	11.11%	2.78%	5.56%	—	2.78%	22.22%
3	5.56%	5.56%	5.56%	—	—	—	16.67%
4	2.78%	2.78%	2.78%	—	—	—	8.33%
5+	—	—	—	—	—	—	—
Total	11.11%	38.89%	27.78%	16.67%	2.78%	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.56	1.69	-0.14
SD	1.27	1.14	1.91
CV	0.82	0.67	—
Max	4	5	+4
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.26%	5.26%	5.26%	5.26%	2.63%	—	23.68%
1	7.89%	13.16%	7.89%	2.63%	5.26%	2.63%	39.47%
2	5.26%	5.26%	5.26%	7.89%	—	2.63%	26.32%
3	—	2.63%	2.63%	2.63%	—	—	7.89%
4	2.63%	—	—	—	—	—	2.63%
5+	—	—	—	—	—	—	—
Total	21.05%	26.32%	21.05%	18.42%	7.89%	5.26%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.26	1.82	-0.55
SD	1.00	1.45	1.80
CV	0.80	0.80	—
Max	4	5	+4
Min	0	0	-4

Games Played: 38

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	13.89%	—	5.56%	2.78%	—	25.00%
1	5.56%	5.56%	13.89%	2.78%	2.78%	—	30.56%
2	2.78%	8.33%	11.11%	5.56%	—	—	27.78%
3	8.33%	5.56%	—	—	—	—	13.89%
4	—	—	2.78%	—	—	—	2.78%
5+	—	—	—	—	—	—	—
Total	19.44%	33.33%	27.78%	13.89%	5.56%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.39	1.53	-0.14
SD	1.10	1.13	1.74
CV	0.79	0.74	—
Max	4	4	+3
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	5.56%	8.33%	5.56%	—	—	27.78%
1	8.33%	5.56%	8.33%	8.33%	—	—	30.56%
2	—	8.33%	5.56%	5.56%	2.78%	—	22.22%
3	2.78%	2.78%	11.11%	—	—	—	16.67%
4	—	2.78%	—	—	—	—	2.78%
5+	—	—	—	—	—	—	—
Total	19.44%	25.00%	33.33%	19.44%	2.78%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.36	1.61	-0.25
SD	1.15	1.10	1.54
CV	0.85	0.68	—
Max	4	4	+3
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	2.78%	—	2.78%	2.78%	—	—	8.33%
1	8.33%	16.67%	13.89%	5.56%	2.78%	2.78%	50.00%
2	8.33%	2.78%	8.33%	8.33%	—	—	27.78%
3	—	5.56%	—	—	—	—	5.56%
4	—	2.78%	2.78%	—	—	—	5.56%
5+	—	2.78%	—	—	—	—	2.78%
Total	19.44%	30.56%	27.78%	16.67%	2.78%	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.58	1.61	-0.03
SD	1.11	1.23	1.75
CV	0.70	0.76	—
Max	5	5	+4
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	2.78%	—	—	—	—	2.78%
1	13.89%	2.78%	—	—	2.78%	—	19.44%
2	13.89%	—	5.56%	2.78%	—	—	22.22%
3	5.56%	8.33%	13.89%	2.78%	—	—	30.56%
4	8.33%	5.56%	—	—	—	—	13.89%
5+	—	8.33%	2.78%	—	—	—	11.11%
Total	41.67%	27.78%	22.22%	5.56%	2.78%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.75	1.00	+1.75
SD	1.52	1.07	1.79
CV	0.55	1.07	—
Max	7	4	+6
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	11.11%	8.33%	8.33%	2.78%	—	38.89%
1	5.56%	11.11%	2.78%	2.78%	—	—	22.22%
2	5.56%	11.11%	5.56%	2.78%	—	—	25.00%
3	2.78%	2.78%	—	5.56%	—	—	11.11%
4	—	—	—	—	—	—	—
5+	—	—	2.78%	—	—	—	2.78%
Total	22.22%	36.11%	19.44%	19.44%	2.78%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.19	1.44	-0.25
SD	1.24	1.13	1.68
CV	1.04	0.78	—
Max	5	4	+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
Young Boys	1868	91	76.07	+14.93	99.0%	57	62	72	76	81	87	96
Basel	1806	71	64.92	+6.08	78.0%	43	50	59	66	70	77	82
Lugano	1622	46	43.05	+2.95	68.0%	23	31	37	42	49	57	67
Luzern	1617	46	46.39	-0.39	49.0%	28	35	40	47	52	59	65
Sion	1610	43	49.36	-6.36	27.0%	30	36	43	50	55	63	67
Thun	1601	46	50.97	-4.97	28.0%	31	38	46	51	57	62	77
Zurich	1595	44	49.60	-5.60	27.0%	35	38	44	50	54	61	65
St. Gallen	1575	46	40.84	+5.16	80.0%	28	30	36	40	46	52	59
Neuchatel Xamax	1561	37	40.57	-3.57	35.0%	22	27	35	41	45	52	64
Grasshopper	1460	25	34.22	-9.22	10.0%	18	23	28	34	39	46	54

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

+7.14%

No Edge

41.21%24.73%34.07%

Elo Value

Home Edge: 24.86 Elo pts.

165 Elo

0.006 goals per Elo point

0500

Scoring Tilt

Expected

+0.13 goals

Neutral

-2+0.15+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

1.5

One-Team Race

123410

Champion Preseason Odds

80%

Young Boys, 1st of 10

LongshotFavorite

Title Margin

Expected

0.56/gm

Runaway

00.320.8/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 6.14 * Some Luck: 6.14 to 9.21 * Lucky: 9.21 to 12.28 * Wild Swing: 12.28 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 1.11 * Close: 1.11 to 1.67 * Off: 1.67 to 2.22 * Way Off: 2.22 and up.
Biggest Overachiever: The team that finished highest inside its own range of simulated outcomes. The gold line is where the top team in a league of 10 typically lands.
Biggest Underachiever: The team that finished lowest inside its own range of simulated outcomes. The gold line is where the bottom team in a league of 10 typically lands.
Season Outliers: Number of teams that finished above the 95th or below the 5th percentile of their own simulated range. Even a well-calibrated model expects about 10% of teams in the extremes.
Minimal Outliers: under 10 * As Expected: 10 to 16 * Several Outliers: 16 to 22 * Many Outliers: 22 and up.

Luck Spread

Expected

7.00 points

Some Luck

07.6819

Average Finish Error

Expected

1.40

01.393

Biggest Overachiever

Expected 95.00%

99.00%

Young Boys

50100

Biggest Underachiever

Expected 5.00%

10.00%

Grasshopper

050

Season Outliers

Expected

1 of 10

Minimal Outliers

01.010

Parity

How these are measured

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

Gini Index: How evenly points were spread across the league. Lower means a tight, balanced table; higher means a few teams ran off with most of the points.
Balanced: under 0.15 * Even: 0.15 to 0.16 * Top-Heavy: 0.16 to 0.19 * Lopsided: 0.19 and up.
Noll-Scully: Take a league where every match is a coin flip and nobody is better than anybody. You would still get a table, with a leader and a bottom club, purely by luck, and you can work out how far apart that table would be. This is the real table measured against it. At 1.00 the season was no more spread out than pure chance; at 2.00 it was twice as spread out, which takes genuine differences in quality. Dividing by the luck figure is what makes seasons of different lengths comparable, because a short season spreads a table by luck alone far more than a long one does. Elo SD in the corner is the same question in rating points: how far apart the teams finished on the ratings.
Coin-Flip Parity: under 1.65 * Moderate Separation: 1.65 to 1.85 * Strong Separation: 1.85 to 2.05 * Wide Separation: 2.05 and up.
Interquartile Edge: Chance the team at the 75th percentile of Elo would beat the team at the 25th percentile on a neutral field. Higher means a bigger gap between the upper and lower half of the table.
Even: under 63% * Slight Edge: 63% to 71% * Clear Edge: 71% to 76% * Wide Edge: 76% and up.
Best vs. Worst: Chance the top-rated team would beat the bottom-rated team on a neutral field. The gold line is how large that gap tends to be in a league of this size; a dot to the right flags an unusually dominant or unusually weak team.
Even: under 86.5% * Clear Edge: 86.5% to 91.5% * Strong Edge: 91.5% to 94.5% * Dominant: 94.5% and up.
Close Games: Share of matches decided by 1 goal or fewer, draws included. The gold line is how many close games the matchups and the scoring value of an Elo point predict.
Few: under 51% * Some Drama: 51% to 55.5% * Frequent: 55.5% to 59.5% * Very Frequent: 59.5% and up.
Blowouts: Share of matches decided by 3 goals or more. The gold line is how many routs the matchups and the scoring model predict.
Rare: under 18% * Occasional: 18% to 22% * Frequent: 22% to 27% * Very Frequent: 27% and up.

Gini Index

0.17

Top-Heavy

00.150.5

Noll-Scully

Elo SD: 118.60

2.33

Wide Separation

11.651.852.052.75

Interquartile Edge

56%

Even

50%63%71%76%100%

Best vs. Worst

Baseline

91%

Clear Edge

50%90%100%

Close Games

Expected

61%

Very Frequent

0%58%100%

Blowouts

Expected

18%

Occasional

0%18%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

0.59

Predictable

00.612

Matchup Imbalance

0.32

Very Even

00.370.5

Strangeness

Expected

0.89

As Expected

01.002

Repeatability

0.39

Weak Carryover

00.420.631

Upset Rate

Expected

23%

As Expected

0%25%50%

Clear Favorite Upset Rate

Expected

17%

Solid Favorites

0%21%50%

Calibration

How these are measured

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

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

Probability calibration

0.07

Borderline

0.010.050.10.51

Calibration slope

Ideal

1.29

Underconfident

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.073

Well Within Noise

00.1290.3

Elo Progression Through The Playoffs

How each team's Elo rating moved through the playoff games. Game 0 is the starting Elo just before the first game; each later point is the post-game Elo after that fixture. Steep upward moves are wins over higher-rated opponents; sharp drops are losses to lower-rated opponents.

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
Young Boys	80.00%	18.00%	2.00%	—	—	—	—	—	—	—
Basel	18.00%	62.00%	9.00%	4.00%	4.00%	2.00%	1.00%	—	—	—
Lugano	—	2.00%	7.00%	11.00%	11.00%	10.00%	18.00%	18.00%	15.00%	8.00%
Thun	1.00%	6.00%	25.00%	16.00%	18.00%	13.00%	13.00%	3.00%	2.00%	3.00%
Luzern	—	1.00%	12.00%	17.00%	15.00%	18.00%	12.00%	13.00%	6.00%	6.00%
St. Gallen	—	—	3.00%	6.00%	10.00%	13.00%	15.00%	18.00%	22.00%	13.00%
Zurich	1.00%	2.00%	23.00%	18.00%	18.00%	11.00%	9.00%	12.00%	4.00%	2.00%
Sion	—	8.00%	17.00%	20.00%	15.00%	13.00%	11.00%	11.00%	4.00%	1.00%
Neuchatel Xamax	—	1.00%	1.00%	8.00%	5.00%	16.00%	17.00%	18.00%	17.00%	17.00%
Grasshopper	—	—	1.00%	—	4.00%	4.00%	4.00%	7.00%	30.00%	50.00%

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	Lost relegation playoff	Direct relegation
Basel	100%	—	—
Young Boys	100%	—	—
Sion	95.00%	4.00%	1.00%
Thun	95.00%	2.00%	3.00%
Zurich	94.00%	4.00%	2.00%
Luzern	88.00%	6.00%	6.00%
Lugano	77.00%	15.00%	8.00%
St. Gallen	65.00%	22.00%	13.00%
Grasshopper	20.00%	30.00%	50.00%
Neuchatel Xamax	—	100%	—

Actual Promotion/Relegation Outcomes

Across 100,000 simulations that fixed the regular-season standings and projected only the promotion/relegation playoff, each participating team's chance of going up versus staying at this level.

Team	Won relegation playoff	Lost relegation playoff
Neuchatel Xamax	55.21%	44.79%

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
2018-07-21	Neuchatel Xamax	L 0-2	56.3	1634	1613	43.77%	26.20%	30.03%	+0.28	-15.2	0
2018-07-21	@ Luzern	W 2-0	56.3	1613	1634	30.03%	26.20%	43.77%	-0.28	+15.2	3
2018-07-21	St. Gallen	L 1-2	70.8	1746	1563	63.19%	21.60%	15.21%	+1.26	-10.3	0
2018-07-21	@ Basel	W 2-1	70.8	1563	1746	15.21%	21.60%	63.19%	-1.26	+10.3	3
2018-07-22	Grasshopper	W 2-0	48.8	1725	1589	58.15%	23.37%	18.48%	+0.98	+7.4	3
2018-07-22	@ Young Boys	L 0-2	48.8	1589	1725	18.48%	23.37%	58.15%	-0.98	-7.4	0
2018-07-22	Lugano	L 1-2	65.7	1629	1581	47.40%	25.78%	26.82%	+0.44	-8.1	0
2018-07-22	@ Sion	W 2-1	65.7	1581	1629	26.82%	25.78%	47.40%	-0.44	+8.1	3
2018-07-22	Thun	W 2-1	60.2	1640	1597	46.82%	25.86%	27.32%	+0.42	+5.3	3
2018-07-22	@ Zurich	L 1-2	60.2	1597	1640	27.32%	25.86%	46.82%	-0.42	-5.3	0
2018-07-28	Basel	D 1-1	70.8	1629	1736	26.68%	25.75%	47.57%	-0.50	+0.8	4
2018-07-28	@ Neuchatel Xamax	D 1-1	70.8	1736	1629	47.57%	25.75%	26.68%	+0.50	-0.8	1
2018-07-28	Zurich	L 0-2	52.4	1581	1646	31.88%	26.35%	41.77%	-0.24	-12.0	0
2018-07-28	@ Grasshopper	W 2-0	52.4	1646	1581	41.77%	26.35%	31.88%	+0.24	+12.0	6
2018-07-29	Luzern	W 2-1	62.7	1591	1619	36.94%	26.51%	36.55%	-0.02	+6.6	3
2018-07-29	@ Thun	L 1-2	62.7	1619	1591	36.55%	26.51%	36.94%	+0.02	-6.6	0
2018-07-29	Sion	L 2-4	62.7	1574	1620	34.26%	26.47%	39.28%	-0.13	-9.8	3
2018-07-29	@ St. Gallen	W 4-2	62.7	1620	1574	39.28%	26.47%	34.26%	+0.13	+9.8	3
2018-07-29	Young Boys	L 0-2	50.7	1589	1732	22.90%	24.93%	52.16%	-0.72	-9.1	3
2018-07-29	@ Lugano	W 2-0	50.7	1732	1589	52.16%	24.93%	22.90%	+0.72	+9.1	6
2018-08-04	Grasshopper	W 4-2	58.0	1735	1569	61.42%	22.27%	16.31%	+1.16	+5.1	4
2018-08-04	@ Basel	L 2-4	58.0	1569	1735	16.31%	22.27%	61.42%	-1.16	-5.1	0
2018-08-04	Lugano	W 4-2	60.8	1612	1580	45.38%	26.03%	28.58%	+0.35	+8.5	3
2018-08-04	@ Luzern	L 2-4	60.8	1580	1612	28.58%	26.03%	45.38%	-0.35	-8.5	3
2018-08-05	Neuchatel Xamax	W 3-0	51.0	1630	1629	40.99%	26.40%	32.61%	+0.16	+17.7	6
2018-08-05	@ Sion	L 0-3	51.0	1629	1630	32.61%	26.40%	40.99%	-0.16	-17.7	4
2018-08-05	Thun	W 3-2	67.3	1564	1598	36.02%	26.50%	37.48%	-0.06	+6.4	6
2018-08-05	@ St. Gallen	L 2-3	67.3	1598	1564	37.48%	26.50%	36.02%	+0.06	-6.4	3
2018-08-05	Zurich	W 4-0	49.2	1741	1658	51.95%	24.98%	23.07%	+0.66	+17.3	9
2018-08-05	@ Young Boys	L 0-4	49.2	1658	1741	23.07%	24.98%	51.95%	-0.66	-17.3	6
2018-08-11	Grasshopper	D 2-2	72.4	1571	1564	41.85%	26.35%	31.80%	+0.19	-0.3	4
2018-08-11	@ Lugano	D 2-2	72.4	1564	1571	31.80%	26.35%	41.85%	-0.19	+0.3	1
2018-08-11	Thun	L 1-5	57.4	1612	1592	43.66%	26.21%	30.14%	+0.27	-24.0	4
2018-08-11	@ Neuchatel Xamax	W 5-1	57.4	1592	1612	30.14%	26.21%	43.66%	-0.27	+24.0	6
2018-08-12	Sion	W 3-2	65.7	1740	1648	53.01%	24.75%	22.25%	+0.71	+4.2	7
2018-08-12	@ Basel	L 2-3	65.7	1648	1740	22.25%	24.75%	53.01%	-0.71	-4.2	6
2018-08-12	St. Gallen	D 0-0	64.5	1640	1570	50.22%	25.32%	24.46%	+0.57	-1.1	7
2018-08-12	@ Zurich	D 0-0	64.5	1570	1640	24.46%	25.32%	50.22%	-0.57	+1.1	7
2018-08-12	Young Boys	L 2-3	66.1	1621	1759	23.47%	25.08%	51.44%	-0.68	-4.4	3
2018-08-12	@ Luzern	W 3-2	66.1	1759	1621	51.44%	25.08%	23.47%	+0.68	+4.4	12
2018-08-25	Neuchatel Xamax	W 5-2	54.3	1763	1588	62.41%	21.90%	15.69%	+1.21	+6.7	15
2018-08-25	@ Young Boys	L 2-5	54.3	1588	1763	15.69%	21.90%	62.41%	-1.21	-6.7	4
2018-08-25	Sion	W 2-1	64.7	1564	1644	29.99%	26.19%	43.82%	-0.33	+7.6	4
2018-08-25	@ Grasshopper	L 1-2	64.7	1644	1564	43.82%	26.19%	29.99%	+0.33	-7.6	6
2018-08-26	Basel	D 1-1	70.9	1639	1744	26.91%	25.79%	47.30%	-0.49	+0.8	8
2018-08-26	@ Zurich	D 1-1	70.9	1744	1639	47.30%	25.79%	26.91%	+0.49	-0.8	8
2018-08-26	Lugano	D 1-1	68.0	1616	1571	46.98%	25.84%	27.18%	+0.42	-0.8	7
2018-08-26	@ Thun	D 1-1	68.0	1571	1616	27.18%	25.84%	46.98%	-0.42	+0.8	5
2018-08-26	Luzern	L 0-1	56.2	1571	1617	34.49%	26.48%	39.04%	-0.12	-6.7	7
2018-08-26	@ St. Gallen	W 1-0	56.2	1617	1571	39.04%	26.48%	34.49%	+0.12	+6.7	6
2018-09-01	Young Boys	L 0-3	49.6	1636	1770	23.88%	25.19%	50.93%	-0.66	-13.7	6
2018-09-01	@ Sion	W 3-0	49.6	1770	1636	50.93%	25.19%	23.88%	+0.66	+13.7	18
2018-09-01	Zurich	W 1-0	59.0	1572	1640	31.39%	26.32%	42.30%	-0.26	+7.9	8
2018-09-01	@ Lugano	L 0-1	59.0	1640	1572	42.30%	26.32%	31.39%	+0.26	-7.9	8
2018-09-02	Grasshopper	W 2-1	59.1	1623	1572	47.83%	25.72%	26.45%	+0.46	+5.1	9
2018-09-02	@ Luzern	L 1-2	59.1	1572	1623	26.45%	25.72%	47.83%	-0.46	-5.2	4
2018-09-02	St. Gallen	L 2-3	68.4	1581	1565	43.14%	26.25%	30.61%	+0.25	-7.1	4
2018-09-02	@ Neuchatel Xamax	W 3-2	68.4	1565	1581	30.61%	26.25%	43.14%	-0.25	+7.1	10
2018-09-02	Thun	D 1-1	71.4	1744	1615	57.31%	23.62%	19.07%	+0.93	-1.5	9
2018-09-02	@ Basel	D 1-1	71.4	1615	1744	19.07%	23.62%	57.31%	-0.93	+1.5	8
2018-09-22	Neuchatel Xamax	W 3-1	56.8	1567	1574	39.88%	26.45%	33.67%	+0.11	+10.8	7
2018-09-22	@ Grasshopper	L 1-3	56.8	1574	1567	33.67%	26.45%	39.88%	-0.11	-10.8	4
2018-09-22	Sion	W 4-1	56.5	1616	1622	40.03%	26.44%	33.53%	+0.11	+15.2	11
2018-09-22	@ Thun	L 1-4	56.5	1622	1616	33.53%	26.44%	40.03%	-0.11	-15.2	6
2018-09-23	Basel	W 7-1	55.3	1783	1742	46.52%	25.90%	27.59%	+0.40	+24.4	21
2018-09-23	@ Young Boys	L 1-7	55.3	1742	1783	27.59%	25.90%	46.52%	-0.40	-24.4	9
2018-09-23	Lugano	D 2-2	72.8	1572	1579	39.81%	26.45%	33.74%	+0.10	-0.2	11
2018-09-23	@ St. Gallen	D 2-2	72.8	1579	1572	33.74%	26.45%	39.81%	-0.10	+0.2	9
2018-09-23	Luzern	W 1-0	56.9	1632	1628	41.38%	26.37%	32.25%	+0.17	+6.4	11
2018-09-23	@ Zurich	L 0-1	56.9	1628	1632	32.25%	26.37%	41.38%	-0.17	-6.4	9
2018-09-25	Thun	L 0-2	52.4	1578	1632	33.27%	26.43%	40.30%	-0.18	-12.4	7
2018-09-25	@ Grasshopper	W 2-0	52.4	1632	1578	40.30%	26.43%	33.27%	+0.18	+12.3	14
2018-09-26	Lugano	W 2-1	60.5	1563	1580	38.54%	26.49%	34.98%	+0.05	+6.4	7
2018-09-26	@ Neuchatel Xamax	L 1-2	60.5	1580	1563	34.98%	26.49%	38.54%	-0.05	-6.4	9
2018-09-26	Luzern	W 2-1	59.7	1718	1622	53.41%	24.65%	21.93%	+0.73	+4.4	12
2018-09-26	@ Basel	L 1-2	59.7	1622	1718	21.93%	24.65%	53.41%	-0.73	-4.4	9
2018-09-26	St. Gallen	W 2-0	46.3	1808	1572	68.47%	19.34%	12.19%	+1.58	+4.8	24
2018-09-26	@ Young Boys	L 0-2	46.3	1572	1808	12.19%	19.34%	68.47%	-1.58	-4.8	11
2018-09-27	Zurich	L 1-2	63.3	1607	1638	36.43%	26.51%	37.06%	-0.04	-6.6	6
2018-09-27	@ Sion	W 2-1	63.3	1638	1607	37.06%	26.51%	36.43%	+0.04	+6.6	14
2018-09-29	Grasshopper	W 2-1	59.4	1567	1565	41.10%	26.39%	32.51%	+0.16	+6.1	14
2018-09-29	@ St. Gallen	L 1-2	59.4	1565	1567	32.51%	26.39%	41.10%	-0.16	-6.1	7
2018-09-29	Young Boys	L 1-4	54.1	1644	1812	20.60%	24.21%	55.19%	-0.87	-10.1	14
2018-09-29	@ Thun	W 4-1	54.1	1812	1644	55.19%	24.21%	20.60%	+0.87	+10.1	27
2018-09-30	Basel	D 2-2	76.2	1573	1722	22.39%	24.79%	52.82%	-0.75	+0.9	10
2018-09-30	@ Lugano	D 2-2	76.2	1722	1573	52.82%	24.79%	22.39%	+0.75	-0.9	13
2018-09-30	Neuchatel Xamax	D 0-0	64.7	1645	1570	50.94%	25.19%	23.88%	+0.61	-1.2	15
2018-09-30	@ Zurich	D 0-0	64.7	1570	1645	23.88%	25.19%	50.94%	-0.61	+1.2	8
2018-09-30	Sion	L 1-3	61.5	1618	1601	43.24%	26.24%	30.51%	+0.25	-13.1	9
2018-09-30	@ Luzern	W 3-1	61.5	1601	1618	30.51%	26.24%	43.24%	-0.25	+13.0	9
2018-10-06	Basel	L 1-3	56.1	1573	1721	22.46%	24.81%	52.73%	-0.75	-7.7	14
2018-10-06	@ St. Gallen	W 3-1	56.1	1721	1573	52.73%	24.81%	22.46%	+0.75	+7.7	16
2018-10-06	Luzern	L 2-3	77.9	1823	1605	66.74%	20.13%	13.14%	+1.47	-10.2	27
2018-10-06	@ Young Boys	W 3-2	77.9	1605	1823	13.14%	20.13%	66.74%	-1.47	+10.2	12
2018-10-07	Lugano	W 2-1	60.2	1559	1574	38.77%	26.48%	34.75%	+0.06	+6.4	10
2018-10-07	@ Grasshopper	L 1-2	60.2	1574	1559	34.75%	26.48%	38.77%	-0.06	-6.4	10
2018-10-07	Sion	D 1-1	67.8	1571	1614	34.78%	26.48%	38.73%	-0.11	+0.1	9
2018-10-07	@ Neuchatel Xamax	D 1-1	67.8	1614	1571	38.73%	26.48%	34.78%	+0.11	-0.1	10
2018-10-07	Zurich	D 2-2	75.5	1634	1644	39.48%	26.46%	34.06%	+0.09	-0.2	15
2018-10-07	@ Thun	D 2-2	75.5	1644	1634	34.06%	26.46%	39.48%	-0.09	+0.2	16
2018-10-20	Thun	L 0-2	54.7	1615	1634	38.18%	26.50%	35.32%	+0.04	-13.7	12
2018-10-20	@ Luzern	W 2-0	54.7	1634	1615	35.32%	26.50%	38.18%	-0.04	+13.7	18
2018-10-20	Young Boys	D 3-3	82.1	1644	1812	20.60%	24.22%	55.18%	-0.87	+0.9	17
2018-10-20	@ Zurich	D 3-3	82.1	1812	1644	55.18%	24.22%	20.60%	+0.87	-0.9	28
2018-10-21	Grasshopper	D 0-0	63.7	1613	1566	47.38%	25.78%	26.84%	+0.44	-0.9	11
2018-10-21	@ Sion	D 0-0	63.7	1566	1613	26.84%	25.78%	47.38%	-0.44	+0.9	11
2018-10-21	Neuchatel Xamax	D 1-1	71.1	1729	1571	60.56%	22.57%	16.87%	+1.11	-1.8	17
2018-10-21	@ Basel	D 1-1	71.1	1571	1729	16.87%	22.57%	60.56%	-1.11	+1.8	10
2018-10-21	St. Gallen	W 3-1	56.1	1568	1565	41.21%	26.38%	32.40%	+0.17	+10.5	13
2018-10-21	@ Lugano	L 1-3	56.1	1565	1568	32.40%	26.38%	41.21%	-0.17	-10.5	14
2018-10-27	Basel	L 1-3	55.6	1567	1727	21.31%	24.46%	54.24%	-0.82	-7.4	11
2018-10-27	@ Grasshopper	W 3-1	55.6	1727	1567	54.24%	24.46%	21.31%	+0.82	+7.4	20
2018-10-27	Sion	W 3-2	62.4	1811	1613	64.85%	20.93%	14.22%	+1.36	+2.7	31
2018-10-27	@ Young Boys	L 2-3	62.4	1613	1811	14.22%	20.93%	64.85%	-1.36	-2.7	11
2018-10-28	Luzern	L 1-2	61.9	1573	1601	36.83%	26.51%	36.66%	-0.02	-6.7	10
2018-10-28	@ Neuchatel Xamax	W 2-1	61.9	1601	1573	36.66%	26.51%	36.83%	+0.02	+6.7	15
2018-10-28	Thun	W 2-1	64.7	1578	1647	31.26%	26.31%	42.44%	-0.27	+7.4	16
2018-10-28	@ Lugano	L 1-2	64.7	1647	1578	42.44%	26.31%	31.26%	+0.27	-7.4	18
2018-10-28	Zurich	W 3-2	70.4	1555	1645	28.68%	26.05%	45.27%	-0.40	+7.4	17
2018-10-28	@ St. Gallen	L 2-3	70.4	1645	1555	45.27%	26.05%	28.68%	+0.40	-7.4	17
2018-11-03	Neuchatel Xamax	D 2-2	74.6	1640	1566	50.76%	25.22%	24.02%	+0.60	-0.8	19
2018-11-03	@ Thun	D 2-2	74.6	1566	1640	24.02%	25.22%	50.76%	-0.60	+0.8	11
2018-11-03	Young Boys	L 0-3	45.3	1559	1814	14.33%	21.01%	64.66%	-1.40	-8.3	11
2018-11-03	@ Grasshopper	W 3-0	45.3	1814	1559	64.66%	21.01%	14.33%	+1.40	+8.3	34
2018-11-04	Lugano	W 3-2	63.1	1734	1586	59.56%	22.91%	17.53%	+1.05	+3.3	23
2018-11-04	@ Basel	L 2-3	63.1	1586	1734	17.53%	22.91%	59.56%	-1.05	-3.3	16
2018-11-04	St. Gallen	L 0-1	59.4	1610	1562	47.36%	25.78%	26.85%	+0.44	-8.6	11
2018-11-04	@ Sion	W 1-0	59.4	1562	1610	26.85%	25.78%	47.36%	-0.44	+8.6	20
2018-11-04	Zurich	L 2-5	60.6	1608	1637	36.65%	26.51%	36.84%	-0.03	-14.1	15
2018-11-04	@ Luzern	W 5-2	60.6	1637	1608	36.84%	26.51%	36.65%	+0.03	+14.1	20
2018-11-10	Basel	W 4-2	68.8	1639	1738	27.69%	25.91%	46.40%	-0.45	+12.3	22
2018-11-10	@ Thun	L 2-4	68.8	1738	1639	46.40%	25.91%	27.69%	+0.45	-12.4	23
2018-11-10	Luzern	L 1-4	56.8	1582	1594	39.27%	26.47%	34.26%	+0.08	-17.1	16
2018-11-10	@ Lugano	W 4-1	56.8	1594	1582	34.26%	26.47%	39.27%	-0.08	+17.1	18
2018-11-11	Grasshopper	L 2-3	67.6	1567	1551	43.08%	26.26%	30.66%	+0.25	-7.1	11
2018-11-11	@ Neuchatel Xamax	W 3-2	67.6	1551	1567	30.66%	26.26%	43.08%	-0.25	+7.1	14
2018-11-11	Sion	L 1-2	66.6	1652	1601	47.69%	25.74%	26.57%	+0.46	-8.2	20
2018-11-11	@ Zurich	W 2-1	66.6	1601	1652	26.57%	25.74%	47.69%	-0.46	+8.2	14
2018-11-11	Young Boys	L 2-3	62.4	1571	1822	14.53%	21.15%	64.31%	-1.38	-2.7	20
2018-11-11	@ St. Gallen	W 3-2	62.4	1822	1571	64.31%	21.15%	14.53%	+1.38	+2.7	37
2018-11-24	Lugano	W 1-0	49.6	1825	1565	70.69%	18.28%	11.03%	+1.73	+2.2	40
2018-11-24	@ Young Boys	L 0-1	49.6	1565	1825	11.03%	18.28%	70.69%	-1.73	-2.2	16
2018-11-24	Zurich	D 3-3	78.6	1560	1643	29.44%	26.14%	44.42%	-0.36	+0.3	12
2018-11-24	@ Neuchatel Xamax	D 3-3	78.6	1643	1560	44.42%	26.14%	29.44%	+0.36	-0.3	21
2018-11-25	Basel	D 1-1	70.6	1611	1725	25.87%	25.61%	48.52%	-0.54	+0.9	19
2018-11-25	@ Luzern	D 1-1	70.6	1725	1611	48.52%	25.61%	25.87%	+0.54	-0.9	24
2018-11-25	St. Gallen	W 2-1	59.7	1558	1568	39.45%	26.46%	34.08%	+0.09	+6.3	17
2018-11-25	@ Grasshopper	L 1-2	59.7	1568	1558	34.08%	26.46%	39.45%	-0.09	-6.3	20
2018-11-25	Thun	W 2-1	64.2	1609	1652	34.89%	26.49%	38.63%	-0.10	+6.9	17
2018-11-25	@ Sion	L 1-2	64.2	1652	1609	38.63%	26.49%	34.89%	+0.10	-6.9	22
2018-12-01	Luzern	W 2-0	52.5	1616	1612	41.53%	26.37%	32.10%	+0.18	+12.0	20
2018-12-01	@ Sion	L 0-2	52.5	1612	1616	32.10%	26.37%	41.53%	-0.18	-12.0	19
2018-12-01	St. Gallen	W 2-0	48.9	1645	1562	51.86%	25.00%	23.14%	+0.65	+9.2	25
2018-12-01	@ Thun	L 0-2	48.9	1562	1645	23.14%	25.00%	51.86%	-0.65	-9.2	20
2018-12-02	Grasshopper	W 2-0	49.1	1643	1564	51.34%	25.10%	23.56%	+0.63	+9.3	24
2018-12-02	@ Zurich	L 0-2	49.1	1564	1643	23.56%	25.10%	51.34%	-0.63	-9.3	17
2018-12-02	Neuchatel Xamax	D 2-2	72.0	1563	1560	41.28%	26.38%	32.34%	+0.17	-0.2	17
2018-12-02	@ Lugano	D 2-2	72.0	1560	1563	32.34%	26.38%	41.28%	-0.17	+0.2	13
2018-12-02	Young Boys	L 1-3	59.5	1724	1827	27.16%	25.83%	47.00%	-0.47	-9.1	24
2018-12-02	@ Basel	W 3-1	59.5	1827	1724	47.00%	25.83%	27.16%	+0.47	+9.1	43
2018-12-08	Neuchatel Xamax	W 3-2	64.7	1553	1560	39.80%	26.45%	33.75%	+0.10	+5.9	23
2018-12-08	@ St. Gallen	L 2-3	64.7	1560	1553	33.75%	26.45%	39.80%	-0.10	-5.9	13
2018-12-08	Thun	W 3-2	63.2	1837	1654	63.19%	21.60%	15.21%	+1.26	+2.9	46
2018-12-08	@ Young Boys	L 2-3	63.2	1654	1837	15.21%	21.60%	63.19%	-1.26	-2.9	25
2018-12-09	Luzern	L 2-3	66.2	1555	1600	34.54%	26.48%	38.98%	-0.12	-6.0	17
2018-12-09	@ Grasshopper	W 3-2	66.2	1600	1555	38.98%	26.48%	34.54%	+0.12	+6.0	22
2018-12-09	Sion	D 2-2	73.9	1563	1628	31.71%	26.34%	41.95%	-0.25	+0.3	18
2018-12-09	@ Lugano	D 2-2	73.9	1628	1563	41.95%	26.34%	31.71%	+0.25	-0.3	21
2018-12-09	Zurich	W 2-0	52.0	1715	1652	49.35%	25.47%	25.17%	+0.53	+9.9	27
2018-12-09	@ Basel	L 0-2	52.0	1652	1715	25.17%	25.47%	49.35%	-0.53	-9.9	24
2018-12-15	Basel	L 1-2	62.0	1628	1725	27.84%	25.94%	46.22%	-0.44	-5.4	21
2018-12-15	@ Sion	W 2-1	62.0	1725	1628	46.22%	25.94%	27.84%	+0.44	+5.4	30
2018-12-15	Grasshopper	W 1-0	51.9	1651	1549	54.19%	24.47%	21.34%	+0.77	+4.5	28
2018-12-15	@ Thun	L 0-1	51.9	1549	1651	21.34%	24.47%	54.19%	-0.77	-4.5	17
2018-12-16	Lugano	D 0-0	64.5	1642	1563	51.44%	25.09%	23.48%	+0.63	-1.2	25
2018-12-16	@ Zurich	D 0-0	64.5	1563	1642	23.48%	25.09%	51.44%	-0.63	+1.2	19
2018-12-16	St. Gallen	W 2-1	58.5	1606	1559	47.29%	25.79%	26.92%	+0.44	+5.2	25
2018-12-16	@ Luzern	L 1-2	58.5	1559	1606	26.92%	25.79%	47.29%	-0.44	-5.2	23
2018-12-16	Young Boys	L 1-4	50.0	1554	1839	12.65%	19.73%	67.62%	-1.58	-6.1	13
2018-12-16	@ Neuchatel Xamax	W 4-1	50.0	1839	1554	67.62%	19.73%	12.65%	+1.58	+6.1	49
2019-02-02	Neuchatel Xamax	W 2-0	44.8	1846	1548	73.93%	16.63%	9.43%	+1.95	+3.5	52
2019-02-02	@ Young Boys	L 0-2	44.8	1548	1846	9.43%	16.63%	73.93%	-1.95	-3.5	13
2019-02-03	Basel	L 0-4	46.3	1544	1731	19.12%	23.64%	57.24%	-0.98	-14.5	17
2019-02-03	@ Grasshopper	W 4-0	46.3	1731	1544	57.24%	23.64%	19.12%	+0.98	+14.6	33
2019-02-06	Thun	L 1-3	57.0	1564	1656	28.53%	26.03%	45.45%	-0.40	-9.5	19
2019-02-06	@ Lugano	W 3-1	57.0	1656	1564	45.45%	26.03%	28.53%	+0.40	+9.5	31
2019-02-06	Zurich	W 3-1	61.4	1553	1641	28.93%	26.08%	44.99%	-0.38	+13.5	26
2019-02-06	@ St. Gallen	L 1-3	61.4	1641	1553	44.99%	26.08%	28.93%	+0.38	-13.5	25
2019-02-09	Grasshopper	W 3-1	53.1	1628	1530	53.69%	24.59%	21.72%	+0.74	+7.5	28
2019-02-09	@ Zurich	L 1-3	53.1	1530	1628	21.72%	24.59%	53.69%	-0.74	-7.5	17
2019-02-09	St. Gallen	D 1-1	71.5	1745	1567	62.74%	21.77%	15.49%	+1.23	-2.0	34
2019-02-09	@ Basel	D 1-1	71.5	1567	1745	15.49%	21.77%	62.74%	-1.23	+2.0	27
2019-02-10	Lugano	D 2-2	73.9	1623	1555	49.99%	25.36%	24.64%	+0.56	-0.7	22
2019-02-10	@ Sion	D 2-2	73.9	1555	1623	24.64%	25.36%	49.99%	-0.56	+0.7	20
2019-02-10	Luzern	W 2-1	62.9	1545	1611	31.66%	26.34%	42.01%	-0.25	+7.4	16
2019-02-10	@ Neuchatel Xamax	L 1-2	62.9	1611	1545	42.01%	26.34%	31.66%	+0.25	-7.4	25
2019-02-10	Young Boys	D 1-1	72.2	1665	1849	19.28%	23.71%	57.01%	-0.97	+1.5	32
2019-02-10	@ Thun	D 1-1	72.2	1849	1665	57.01%	23.71%	19.28%	+0.97	-1.5	53
2019-02-13	Sion	L 1-3	60.2	1604	1622	38.26%	26.49%	35.25%	+0.04	-11.9	25
2019-02-13	@ Luzern	W 3-1	60.2	1622	1604	35.25%	26.49%	38.26%	-0.04	+11.9	25
2019-02-16	Lugano	L 0-3	52.4	1592	1555	45.84%	25.98%	28.18%	+0.37	-22.9	25
2019-02-16	@ Luzern	W 3-0	52.4	1555	1592	28.18%	25.98%	45.84%	-0.37	+22.9	23
2019-02-16	Thun	L 1-3	57.1	1569	1667	27.76%	25.92%	46.31%	-0.44	-9.3	27
2019-02-16	@ St. Gallen	W 3-1	57.1	1667	1569	46.31%	25.92%	27.76%	+0.44	+9.3	35
2019-02-17	Neuchatel Xamax	L 0-1	53.5	1522	1552	36.65%	26.51%	36.84%	-0.03	-7.1	17
2019-02-17	@ Grasshopper	W 1-0	53.5	1552	1522	36.84%	26.51%	36.65%	+0.03	+7.0	19
2019-02-17	Sion	W 1-0	54.2	1743	1634	55.06%	24.25%	20.69%	+0.81	+4.4	37
2019-02-17	@ Basel	L 0-1	54.2	1634	1743	20.69%	24.25%	55.06%	-0.81	-4.4	25
2019-02-17	Zurich	W 2-0	47.6	1848	1635	66.18%	20.37%	13.45%	+1.44	+5.3	56
2019-02-17	@ Young Boys	L 0-2	47.6	1635	1848	13.45%	20.37%	66.18%	-1.44	-5.3	28
2019-02-23	Basel	L 0-2	48.9	1559	1748	18.93%	23.56%	57.51%	-0.99	-7.6	19
2019-02-23	@ Neuchatel Xamax	W 2-0	48.9	1748	1559	57.51%	23.56%	18.93%	+0.99	+7.6	40
2019-02-23	St. Gallen	D 2-2	74.1	1629	1559	50.25%	25.32%	24.44%	+0.58	-0.8	26
2019-02-23	@ Sion	D 2-2	74.1	1559	1629	24.44%	25.32%	50.25%	-0.58	+0.8	28
2019-02-24	Grasshopper	D 1-1	69.2	1676	1515	60.84%	22.47%	16.69%	+1.12	-1.8	36
2019-02-24	@ Thun	D 1-1	69.2	1515	1676	16.69%	22.47%	60.84%	-1.12	+1.8	18
2019-02-24	Luzern	D 1-1	68.4	1630	1569	49.12%	25.51%	25.36%	+0.52	-0.9	29
2019-02-24	@ Zurich	D 1-1	68.4	1569	1630	25.36%	25.51%	49.12%	-0.52	+0.9	26
2019-02-24	Young Boys	L 0-1	51.1	1578	1853	13.22%	20.19%	66.59%	-1.51	-2.8	23
2019-02-24	@ Lugano	W 1-0	51.1	1853	1578	66.59%	20.19%	13.22%	+1.51	+2.8	59
2019-03-02	Luzern	L 1-3	55.0	1517	1570	33.47%	26.44%	40.09%	-0.17	-10.8	18
2019-03-02	@ Grasshopper	W 3-1	55.0	1570	1517	40.09%	26.44%	33.47%	+0.17	+10.8	29
2019-03-02	Sion	W 1-0	51.0	1856	1629	67.60%	19.74%	12.66%	+1.53	+2.6	62
2019-03-02	@ Young Boys	L 0-1	51.0	1629	1856	12.66%	19.74%	67.60%	-1.53	-2.6	26
2019-03-03	Lugano	L 0-1	60.4	1629	1576	48.11%	25.67%	26.21%	+0.48	-8.7	29
2019-03-03	@ Zurich	W 1-0	60.4	1576	1629	26.21%	25.67%	48.11%	-0.48	+8.7	26
2019-03-03	Neuchatel Xamax	W 3-0	47.2	1560	1552	42.09%	26.33%	31.58%	+0.20	+17.2	31
2019-03-03	@ St. Gallen	L 0-3	47.2	1552	1560	31.58%	26.33%	42.09%	-0.20	-17.2	19
2019-03-03	Thun	W 3-1	57.6	1755	1674	51.65%	25.04%	23.31%	+0.64	+8.0	43
2019-03-03	@ Basel	L 1-3	57.6	1674	1755	23.31%	25.04%	51.65%	-0.64	-8.0	36
2019-03-09	Sion	W 3-1	60.7	1534	1626	28.47%	26.02%	45.51%	-0.41	+13.6	22
2019-03-09	@ Neuchatel Xamax	L 1-3	60.7	1626	1534	45.51%	26.02%	28.47%	+0.41	-13.6	26
2019-03-09	Young Boys	L 0-1	48.5	1506	1858	9.57%	16.79%	73.64%	-1.98	-1.9	18
2019-03-09	@ Grasshopper	W 1-0	48.5	1858	1506	73.64%	16.79%	9.57%	+1.98	+1.9	65
2019-03-10	Basel	D 1-1	71.2	1584	1763	19.71%	23.88%	56.41%	-0.93	+1.5	27
2019-03-10	@ Lugano	D 1-1	71.2	1763	1584	56.41%	23.88%	19.71%	+0.93	-1.5	44
2019-03-10	St. Gallen	W 3-0	48.8	1580	1577	41.28%	26.38%	32.33%	+0.17	+17.6	32
2019-03-10	@ Luzern	L 0-3	48.8	1577	1580	32.33%	26.38%	41.28%	-0.17	-17.6	31
2019-03-10	Zurich	D 2-2	75.8	1666	1620	47.10%	25.82%	27.08%	+0.43	-0.6	37
2019-03-10	@ Thun	D 2-2	75.8	1620	1666	27.08%	25.82%	47.10%	-0.43	+0.6	30
2019-03-16	Grasshopper	W 3-0	43.5	1613	1504	54.91%	24.29%	20.81%	+0.81	+12.1	29
2019-03-16	@ Sion	L 0-3	43.5	1504	1613	20.81%	24.29%	54.91%	-0.81	-12.1	18
2019-03-16	Lugano	L 0-2	52.1	1560	1586	37.19%	26.51%	36.30%	-0.01	-13.4	31
2019-03-16	@ St. Gallen	W 2-0	52.1	1586	1560	36.30%	26.51%	37.19%	+0.01	+13.4	30
2019-03-17	Luzern	D 1-1	69.7	1665	1598	49.92%	25.37%	24.70%	+0.56	-1.0	38
2019-03-17	@ Thun	D 1-1	69.7	1598	1665	24.70%	25.37%	49.92%	-0.56	+1.0	33
2019-03-17	Neuchatel Xamax	W 2-1	57.6	1621	1548	50.62%	25.24%	24.13%	+0.59	+4.8	33
2019-03-17	@ Zurich	L 1-2	57.6	1548	1621	24.13%	25.24%	50.62%	-0.59	-4.8	22
2019-03-17	Young Boys	D 2-2	77.7	1762	1860	27.69%	25.91%	46.40%	-0.45	+0.5	45
2019-03-17	@ Basel	D 2-2	77.7	1860	1762	46.40%	25.91%	27.69%	+0.45	-0.5	66
2019-03-30	Basel	L 0-1	54.2	1599	1762	21.05%	24.37%	54.58%	-0.84	-4.5	33
2019-03-30	@ Luzern	W 1-0	54.2	1762	1599	54.58%	24.37%	21.05%	+0.84	+4.5	48
2019-03-30	Zurich	W 1-0	56.9	1625	1626	40.73%	26.41%	32.86%	+0.14	+6.5	32
2019-03-30	@ Sion	L 0-1	56.9	1626	1625	32.86%	26.41%	40.73%	-0.14	-6.5	33
2019-03-31	Lugano	D 1-1	65.3	1492	1599	26.73%	25.76%	47.51%	-0.50	+0.8	19
2019-03-31	@ Grasshopper	D 1-1	65.3	1599	1492	47.51%	25.76%	26.73%	+0.50	-0.8	31
2019-03-31	St. Gallen	W 3-2	59.2	1860	1546	75.25%	15.94%	8.82%	+2.05	+1.5	69
2019-03-31	@ Young Boys	L 2-3	59.2	1546	1860	8.82%	15.94%	75.25%	-2.05	-1.5	31
2019-03-31	Thun	W 3-2	71.6	1543	1664	25.15%	25.47%	49.39%	-0.59	+8.0	25
2019-03-31	@ Neuchatel Xamax	L 2-3	71.6	1664	1543	49.39%	25.47%	25.15%	+0.59	-8.0	38
2019-04-03	Basel	L 0-2	51.1	1619	1767	22.50%	24.82%	52.67%	-0.74	-8.9	33
2019-04-03	@ Zurich	W 2-0	51.1	1767	1619	52.67%	24.82%	22.50%	+0.74	+8.9	51
2019-04-03	Grasshopper	D 0-0	59.3	1545	1493	47.89%	25.71%	26.40%	+0.46	-0.9	32
2019-04-03	@ St. Gallen	D 0-0	59.3	1493	1545	26.40%	25.71%	47.89%	-0.46	+0.9	20
2019-04-03	Neuchatel Xamax	D 0-0	62.9	1598	1551	47.32%	25.79%	26.89%	+0.44	-0.9	32
2019-04-03	@ Lugano	D 0-0	62.9	1551	1598	26.89%	25.79%	47.32%	-0.44	+0.9	26
2019-04-04	Sion	L 1-2	66.2	1656	1631	44.38%	26.14%	29.48%	+0.30	-7.7	38
2019-04-04	@ Thun	W 2-1	66.2	1631	1656	29.48%	26.14%	44.38%	-0.30	+7.7	35
2019-04-06	St. Gallen	L 0-1	55.7	1552	1544	41.99%	26.34%	31.68%	+0.20	-7.8	26
2019-04-06	@ Neuchatel Xamax	W 1-0	55.7	1544	1552	31.68%	26.34%	41.99%	-0.20	+7.8	35
2019-04-06	Zurich	D 1-1	65.8	1494	1610	25.71%	25.58%	48.71%	-0.55	+0.9	21
2019-04-06	@ Grasshopper	D 1-1	65.8	1610	1494	48.71%	25.58%	25.71%	+0.55	-0.9	34
2019-04-07	Lugano	D 1-1	72.1	1776	1598	62.71%	21.78%	15.50%	+1.23	-1.9	52
2019-04-07	@ Basel	D 1-1	72.1	1598	1776	15.50%	21.78%	62.71%	-1.23	+1.9	33
2019-04-07	Luzern	D 2-2	74.9	1639	1594	46.92%	25.85%	27.24%	+0.42	-0.6	36
2019-04-07	@ Sion	D 2-2	74.9	1594	1639	27.24%	25.85%	46.92%	-0.42	+0.6	34
2019-04-07	Thun	W 5-1	49.8	1861	1649	66.19%	20.36%	13.44%	+1.44	+8.4	72
2019-04-07	@ Young Boys	L 1-5	49.8	1649	1861	13.44%	20.36%	66.19%	-1.44	-8.4	38
2019-04-10	Young Boys	L 1-3	53.3	1595	1870	13.22%	20.19%	66.59%	-1.52	-4.5	34
2019-04-10	@ Luzern	W 3-1	53.3	1870	1595	66.59%	20.19%	13.22%	+1.52	+4.5	75
2019-04-13	Grasshopper	D 0-0	68.0	1774	1495	72.34%	17.46%	10.20%	+1.84	-2.9	53
2019-04-13	@ Basel	D 0-0	68.0	1495	1774	10.20%	17.46%	72.34%	-1.84	+2.9	22
2019-04-13	Neuchatel Xamax	L 0-1	58.3	1591	1544	47.19%	25.81%	27.00%	+0.43	-8.6	34
2019-04-13	@ Luzern	W 1-0	58.3	1544	1591	27.00%	25.81%	47.19%	-0.43	+8.6	29
2019-04-14	Sion	D 1-1	68.9	1599	1638	35.37%	26.50%	38.14%	-0.08	+0.1	34
2019-04-14	@ Lugano	D 1-1	68.9	1638	1599	38.14%	26.50%	35.37%	+0.08	-0.1	37
2019-04-14	St. Gallen	D 0-0	64.3	1640	1552	52.56%	24.85%	22.59%	+0.69	-1.3	39
2019-04-14	@ Thun	D 0-0	64.3	1552	1640	22.59%	24.85%	52.56%	-0.69	+1.3	36
2019-04-14	Young Boys	L 0-1	51.6	1609	1874	13.76%	20.60%	65.63%	-1.46	-2.9	34
2019-04-14	@ Zurich	W 1-0	51.6	1874	1609	65.63%	20.60%	13.76%	+1.46	+2.9	78
2019-04-19	Basel	L 0-3	49.7	1638	1771	23.97%	25.21%	50.83%	-0.65	-13.7	37
2019-04-19	@ Sion	W 3-0	49.7	1771	1638	50.83%	25.21%	23.97%	+0.65	+13.7	56
2019-04-19	Zurich	W 3-0	50.4	1600	1606	39.91%	26.45%	33.64%	+0.11	+18.1	37
2019-04-19	@ Lugano	L 0-3	50.4	1606	1600	33.64%	26.45%	39.91%	-0.11	-18.1	34
2019-04-20	Luzern	L 1-2	60.8	1553	1582	36.77%	26.51%	36.72%	-0.02	-6.7	36
2019-04-20	@ St. Gallen	W 2-1	60.8	1582	1553	36.72%	26.51%	36.77%	+0.02	+6.7	37
2019-04-20	Thun	D 1-1	67.0	1498	1639	23.12%	24.99%	51.88%	-0.71	+1.1	23
2019-04-20	@ Grasshopper	D 1-1	67.0	1639	1498	51.88%	24.99%	23.12%	+0.71	-1.1	40
2019-04-22	Young Boys	W 1-0	67.8	1553	1877	10.75%	18.01%	71.24%	-1.82	+11.9	32
2019-04-22	@ Neuchatel Xamax	L 0-1	67.8	1877	1553	71.24%	18.01%	10.75%	+1.82	-11.9	78
2019-04-27	Grasshopper	D 1-1	64.5	1565	1499	49.68%	25.42%	24.90%	+0.55	-1.0	33
2019-04-27	@ Neuchatel Xamax	D 1-1	64.5	1499	1565	24.90%	25.42%	49.68%	-0.55	+1.0	24
2019-04-27	Thun	W 3-1	60.6	1589	1638	33.90%	26.46%	39.64%	-0.15	+12.2	40
2019-04-27	@ Luzern	L 1-3	60.6	1638	1589	39.64%	26.46%	33.90%	+0.15	-12.2	40
2019-04-28	Basel	L 0-3	45.4	1546	1785	15.38%	21.71%	62.91%	-1.29	-8.9	36
2019-04-28	@ St. Gallen	W 3-0	45.4	1785	1546	62.91%	21.71%	15.38%	+1.29	+8.9	59
2019-04-28	Lugano	D 2-2	79.5	1865	1618	69.53%	18.85%	11.63%	+1.65	-1.8	79
2019-04-28	@ Young Boys	D 2-2	79.5	1618	1865	11.63%	18.85%	69.53%	-1.65	+1.8	38
2019-04-28	Sion	W 1-0	57.7	1588	1624	35.74%	26.50%	37.76%	-0.07	+7.2	37
2019-04-28	@ Zurich	L 0-1	57.7	1624	1588	37.76%	26.50%	35.74%	+0.07	-7.2	37
2019-05-04	St. Gallen	L 0-1	51.8	1500	1538	35.54%	26.50%	37.96%	-0.08	-6.9	24
2019-05-04	@ Grasshopper	W 1-0	51.8	1538	1500	37.96%	26.50%	35.54%	+0.08	+6.9	39
2019-05-04	Zurich	W 3-0	45.4	1793	1596	64.75%	20.97%	14.28%	+1.35	+8.2	62
2019-05-04	@ Basel	L 0-3	45.4	1596	1793	14.28%	20.97%	64.75%	-1.35	-8.2	37
2019-05-05	Luzern	W 1-0	55.5	1619	1601	43.46%	26.22%	30.31%	+0.26	+6.1	41
2019-05-05	@ Lugano	L 0-1	55.5	1601	1619	30.31%	26.22%	43.46%	-0.26	-6.1	40
2019-05-05	Neuchatel Xamax	L 0-2	56.5	1626	1564	49.23%	25.50%	25.28%	+0.53	-16.7	40
2019-05-05	@ Thun	W 2-0	56.5	1564	1626	25.28%	25.50%	49.23%	-0.53	+16.7	36
2019-05-05	Young Boys	L 0-4	46.0	1617	1863	14.88%	21.38%	63.74%	-1.34	-11.3	37
2019-05-05	@ Sion	W 4-0	46.0	1863	1617	63.74%	21.38%	14.88%	+1.34	+11.3	82
2019-05-11	Lugano	W 1-0	57.3	1609	1626	38.53%	26.49%	34.99%	+0.05	+6.8	43
2019-05-11	@ Thun	L 0-1	57.3	1626	1609	34.99%	26.49%	38.53%	-0.05	-6.8	41
2019-05-11	Zurich	L 1-2	62.6	1580	1587	39.91%	26.45%	33.65%	+0.11	-7.1	36
2019-05-11	@ Neuchatel Xamax	W 2-1	62.6	1587	1580	33.65%	26.45%	39.91%	-0.11	+7.1	40
2019-05-12	Basel	W 3-1	58.6	1874	1802	50.60%	25.25%	24.15%	+0.59	+8.2	85
2019-05-12	@ Young Boys	L 1-3	58.6	1802	1874	24.15%	25.25%	50.60%	-0.59	-8.2	62
2019-05-12	Grasshopper	W 4-0	42.6	1595	1493	54.14%	24.48%	21.38%	+0.77	+16.2	43
2019-05-12	@ Luzern	L 0-4	42.6	1493	1595	21.38%	24.48%	54.14%	-0.77	-16.2	24
2019-05-12	Sion	W 2-1	62.6	1544	1606	32.27%	26.38%	41.36%	-0.22	+7.3	42
2019-05-12	@ St. Gallen	L 1-2	62.6	1606	1544	41.36%	26.38%	32.27%	+0.22	-7.3	37
2019-05-15	Luzern	W 3-2	62.8	1793	1611	63.17%	21.61%	15.22%	+1.26	+2.9	65
2019-05-15	@ Basel	L 2-3	62.8	1611	1793	15.22%	21.61%	63.17%	-1.26	-2.9	43
2019-05-15	Neuchatel Xamax	W 1-0	54.2	1599	1573	44.37%	26.14%	29.49%	+0.30	+6.0	40
2019-05-15	@ Sion	L 0-1	54.2	1573	1599	29.49%	26.14%	44.37%	-0.30	-6.0	36
2019-05-15	Thun	W 3-0	51.1	1594	1616	37.83%	26.50%	35.66%	+0.02	+18.9	43
2019-05-15	@ Zurich	L 0-3	51.1	1616	1594	35.66%	26.50%	37.83%	-0.02	-18.9	43
2019-05-16	Grasshopper	W 6-1	43.8	1883	1477	82.04%	12.08%	5.88%	+2.61	+3.9	88
2019-05-16	@ Young Boys	L 1-6	43.8	1477	1883	5.88%	12.08%	82.04%	-2.61	-3.9	24
2019-05-16	St. Gallen	W 1-0	52.5	1619	1552	49.87%	25.38%	24.74%	+0.56	+5.2	44
2019-05-16	@ Lugano	L 0-1	52.5	1552	1619	24.74%	25.38%	49.87%	-0.56	-5.2	42
2019-05-22	Basel	L 1-2	58.5	1597	1796	18.08%	23.18%	58.75%	-1.06	-3.6	43
2019-05-22	@ Thun	W 2-1	58.5	1796	1597	58.75%	23.18%	18.08%	+1.06	+3.6	68
2019-05-22	Lugano	D 1-1	68.0	1567	1624	32.92%	26.41%	40.67%	-0.19	+0.3	37
2019-05-22	@ Neuchatel Xamax	D 1-1	68.0	1624	1567	40.67%	26.41%	32.92%	+0.19	-0.3	45
2019-05-22	Sion	L 0-3	43.5	1473	1605	24.08%	25.23%	50.69%	-0.65	-13.8	24
2019-05-22	@ Grasshopper	W 3-0	43.5	1605	1473	50.69%	25.23%	24.08%	+0.65	+13.8	43
2019-05-22	Young Boys	W 4-1	67.6	1547	1887	10.06%	17.31%	72.63%	-1.91	+28.0	45
2019-05-22	@ St. Gallen	L 1-4	67.6	1887	1547	72.63%	17.31%	10.06%	+1.91	-27.9	88
2019-05-22	Zurich	W 3-0	50.6	1608	1613	40.14%	26.44%	33.43%	+0.12	+18.0	46
2019-05-22	@ Luzern	L 0-3	50.6	1613	1608	33.43%	26.44%	40.14%	-0.12	-18.0	43
2019-05-25	Grasshopper	D 3-3	76.3	1624	1459	61.26%	22.32%	16.42%	+1.15	-1.1	46
2019-05-25	@ Lugano	D 3-3	76.3	1459	1624	16.42%	22.32%	61.26%	-1.15	+1.2	25
2019-05-25	Luzern	W 4-0	44.7	1859	1626	68.15%	19.49%	12.36%	+1.56	+9.2	91
2019-05-25	@ Young Boys	L 0-4	44.7	1626	1859	12.36%	19.49%	68.15%	-1.56	-9.2	46
2019-05-25	Neuchatel Xamax	W 4-1	49.7	1800	1568	68.12%	19.50%	12.38%	+1.56	+5.9	71
2019-05-25	@ Basel	L 1-4	49.7	1568	1800	12.38%	19.50%	68.12%	-1.56	-5.9	37
2019-05-25	St. Gallen	D 1-1	67.5	1595	1574	43.75%	26.20%	30.05%	+0.28	-0.5	44
2019-05-25	@ Zurich	D 1-1	67.5	1574	1595	30.05%	26.20%	43.75%	-0.28	+0.5	46
2019-05-25	Thun	L 0-1	59.5	1618	1593	44.35%	26.14%	29.51%	+0.30	-8.2	43
2019-05-25	@ Sion	W 1-0	59.5	1593	1618	29.51%	26.14%	44.35%	-0.30	+8.2	46

Second Phase Game Log

Every second-phase (championship / middle / relegation round) game from each team's perspective, filtered by the team selected at the top of the tab; the table scrolls within its frame. Sort any column by clicking its header. @ before an opponent name indicates an away game. The final column is running points within the second phase only.

Date	Opponent	Score	Excitement	Pre Elo	Opp Elo	Win %	Tie %	Loss %	Proj. Margin	Elo Δ	Points
2019-05-30	Aarau	L 0-4	50.4	1562	1530	45.28%	26.05%	28.68%	+0.35	-29.7	0
2019-05-30	@ Neuchatel Xamax	W 4-0	50.4	1530	1562	28.68%	26.05%	45.28%	-0.35	+29.6	3
2019-06-02	Neuchatel Xamax	L 0-4	50.2	1559	1532	44.64%	26.11%	29.25%	+0.32	-29.3	3
2019-06-02	@ Aarau	W 4-0	50.2	1532	1559	29.25%	26.11%	44.64%	-0.32	+29.3	3

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	2019-05-22	10.06%	@ St. Gallen	1547	4	Young Boys	1887	1
2	2019-04-22	10.75%	@ Neuchatel Xamax	1553	1	Young Boys	1877	0
3	2018-10-06	13.14%	Luzern	1605	3	@ Young Boys	1823	2
4	2018-07-21	15.21%	St. Gallen	1563	2	@ Basel	1746	1
5	2019-03-31	25.15%	@ Neuchatel Xamax	1543	3	Thun	1664	2
6	2019-05-05	25.28%	Neuchatel Xamax	1564	2	@ Thun	1626	0
7	2019-03-03	26.21%	Lugano	1576	1	@ Zurich	1629	0
8	2018-11-11	26.57%	Sion	1601	2	@ Zurich	1652	1
9	2018-07-22	26.82%	Lugano	1581	2	@ Sion	1629	1
10	2018-11-04	26.85%	St. Gallen	1562	1	@ Sion	1610	0
11	2019-04-13	27.00%	Neuchatel Xamax	1544	1	@ Luzern	1591	0
12	2018-11-10	27.69%	@ Thun	1639	4	Basel	1738	2
13	2019-02-16	28.18%	Lugano	1555	3	@ Luzern	1592	0
14	2019-03-09	28.47%	@ Neuchatel Xamax	1534	3	Sion	1626	1
15	2018-10-28	28.68%	@ St. Gallen	1555	3	Zurich	1645	2
16	2019-05-30	28.68%	Aarau	1530	4	@ Neuchatel Xamax	1562	0
17	2019-02-06	28.93%	@ St. Gallen	1553	3	Zurich	1641	1
18	2019-06-02	29.25%	Neuchatel Xamax	1532	4	@ Aarau	1559	0
19	2019-04-04	29.48%	Sion	1631	2	@ Thun	1656	1
20	2019-05-25	29.51%	Thun	1593	1	@ Sion	1618	0
21	2018-08-25	29.99%	@ Grasshopper	1564	2	Sion	1644	1
22	2018-07-21	30.03%	Neuchatel Xamax	1613	2	@ Luzern	1634	0
23	2018-08-11	30.14%	Thun	1592	5	@ Neuchatel Xamax	1612	1
24	2018-09-30	30.51%	Sion	1601	3	@ Luzern	1618	1
25	2018-09-02	30.61%	St. Gallen	1565	3	@ Neuchatel Xamax	1581	2

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	2019-05-30	29.66	Aarau	4	1530	28.68%	@ Neuchatel Xamax	0	1562	45.28%	26.05%
2	2019-06-02	29.32	Neuchatel Xamax	4	1532	29.25%	@ Aarau	0	1559	44.64%	26.11%
3	2019-05-22	27.95	@ St. Gallen	4	1547	10.06%	Young Boys	1	1887	72.63%	17.31%
4	2018-09-23	24.42	@ Young Boys	7	1783	46.52%	Basel	1	1742	27.59%	25.90%
5	2018-08-11	24.00	Thun	5	1592	30.14%	@ Neuchatel Xamax	1	1612	43.66%	26.21%
6	2019-02-16	22.93	Lugano	3	1555	28.18%	@ Luzern	0	1592	45.84%	25.98%
7	2019-05-15	18.91	@ Zurich	3	1594	37.83%	Thun	0	1616	35.66%	26.50%
8	2019-04-19	18.11	@ Lugano	3	1600	39.91%	Zurich	0	1606	33.64%	26.45%
9	2019-05-22	18.01	@ Luzern	3	1608	40.14%	Zurich	0	1613	33.43%	26.44%
10	2018-08-05	17.68	@ Sion	3	1630	40.99%	Neuchatel Xamax	0	1629	32.61%	26.40%
11	2019-03-10	17.56	@ Luzern	3	1580	41.28%	St. Gallen	0	1577	32.33%	26.38%
12	2018-08-05	17.35	@ Young Boys	4	1741	51.95%	Zurich	0	1658	23.07%	24.98%
13	2019-03-03	17.24	@ St. Gallen	3	1560	42.09%	Neuchatel Xamax	0	1552	31.58%	26.33%
14	2018-11-10	17.13	Luzern	4	1594	34.26%	@ Lugano	1	1582	39.27%	26.47%
15	2019-05-05	16.72	Neuchatel Xamax	2	1564	25.28%	@ Thun	0	1626	49.23%	25.50%
16	2019-05-12	16.19	@ Luzern	4	1595	54.14%	Grasshopper	0	1493	21.38%	24.48%
17	2018-09-22	15.23	@ Thun	4	1616	40.03%	Sion	1	1622	33.53%	26.44%
18	2018-07-21	15.21	Neuchatel Xamax	2	1613	30.03%	@ Luzern	0	1634	43.77%	26.20%
19	2019-02-03	14.56	Basel	4	1731	57.24%	@ Grasshopper	0	1544	19.12%	23.64%
20	2018-11-04	14.09	Zurich	5	1637	36.84%	@ Luzern	2	1608	36.65%	26.51%
21	2019-05-22	13.79	Sion	3	1605	50.69%	@ Grasshopper	0	1473	24.08%	25.23%
22	2019-04-19	13.74	Basel	3	1771	50.83%	@ Sion	0	1638	23.97%	25.21%
23	2018-10-20	13.70	Thun	2	1634	35.32%	@ Luzern	0	1615	38.18%	26.50%
24	2018-09-01	13.69	Young Boys	3	1770	50.93%	@ Sion	0	1636	23.88%	25.19%
25	2019-03-09	13.59	@ Neuchatel Xamax	3	1534	28.47%	Sion	1	1626	45.51%	26.02%

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	2018-10-20	82.1	@ Zurich	3	1644	20.60%	Young Boys	3	1812	55.18%	24.22%
2	2019-04-28	79.5	@ Young Boys	2	1865	69.53%	Lugano	2	1618	11.63%	18.85%
3	2018-11-24	78.6	@ Neuchatel Xamax	3	1560	29.44%	Zurich	3	1643	44.42%	26.14%
4	2018-10-06	77.9	Luzern	3	1605	13.14%	@ Young Boys	2	1823	66.74%	20.13%
5	2019-03-17	77.7	@ Basel	2	1762	27.69%	Young Boys	2	1860	46.40%	25.91%
6	2019-05-25	76.3	@ Lugano	3	1624	61.26%	Grasshopper	3	1459	16.42%	22.32%
7	2018-09-30	76.2	@ Lugano	2	1573	22.39%	Basel	2	1722	52.82%	24.79%
8	2019-03-10	75.8	@ Thun	2	1666	47.10%	Zurich	2	1620	27.08%	25.82%
9	2018-10-07	75.5	@ Thun	2	1634	39.48%	Zurich	2	1644	34.06%	26.46%
10	2019-04-07	74.9	@ Sion	2	1639	46.92%	Luzern	2	1594	27.24%	25.85%
11	2018-11-03	74.6	@ Thun	2	1640	50.76%	Neuchatel Xamax	2	1566	24.02%	25.22%
12	2019-02-23	74.1	@ Sion	2	1629	50.25%	St. Gallen	2	1559	24.44%	25.32%
13	2018-12-09	73.9	@ Lugano	2	1563	31.71%	Sion	2	1628	41.95%	26.34%
14	2019-02-10	73.9	@ Sion	2	1623	49.99%	Lugano	2	1555	24.64%	25.36%
15	2018-09-23	72.8	@ St. Gallen	2	1572	39.81%	Lugano	2	1579	33.74%	26.45%
16	2018-08-11	72.4	@ Lugano	2	1571	41.85%	Grasshopper	2	1564	31.80%	26.35%
17	2019-02-10	72.2	@ Thun	1	1665	19.28%	Young Boys	1	1849	57.01%	23.71%
18	2019-04-07	72.1	@ Basel	1	1776	62.71%	Lugano	1	1598	15.50%	21.78%
19	2018-12-02	72.0	@ Lugano	2	1563	41.28%	Neuchatel Xamax	2	1560	32.34%	26.38%
20	2019-03-31	71.6	@ Neuchatel Xamax	3	1543	25.15%	Thun	2	1664	49.39%	25.47%
21	2019-02-09	71.5	@ Basel	1	1745	62.74%	St. Gallen	1	1567	15.49%	21.77%
22	2018-09-02	71.4	@ Basel	1	1744	57.31%	Thun	1	1615	19.07%	23.62%
23	2019-03-10	71.2	@ Lugano	1	1584	19.71%	Basel	1	1763	56.41%	23.88%
24	2018-10-21	71.1	@ Basel	1	1729	60.56%	Neuchatel Xamax	1	1571	16.87%	22.57%
25	2018-08-26	70.9	@ Zurich	1	1639	26.91%	Basel	1	1744	47.30%	25.79%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2019-05-12	42.6	@ Luzern	4	1595	54.14%	Grasshopper	0	1493	21.38%	24.48%
2	2019-03-16	43.5	@ Sion	3	1613	54.91%	Grasshopper	0	1504	20.81%	24.29%
3	2019-05-22	43.5	Sion	3	1605	50.69%	@ Grasshopper	0	1473	24.08%	25.23%
4	2019-05-16	43.8	@ Young Boys	6	1883	82.04%	Grasshopper	1	1477	5.88%	12.08%
5	2019-05-25	44.7	@ Young Boys	4	1859	68.15%	Luzern	0	1626	12.36%	19.49%
6	2019-02-02	44.8	@ Young Boys	2	1846	73.93%	Neuchatel Xamax	0	1548	9.43%	16.63%
7	2018-11-03	45.3	Young Boys	3	1814	64.66%	@ Grasshopper	0	1559	14.33%	21.01%
8	2019-04-28	45.4	Basel	3	1785	62.91%	@ St. Gallen	0	1546	15.38%	21.71%
9	2019-05-04	45.4	@ Basel	3	1793	64.75%	Zurich	0	1596	14.28%	20.97%
10	2019-05-05	46.0	Young Boys	4	1863	63.74%	@ Sion	0	1617	14.88%	21.38%
11	2018-09-26	46.3	@ Young Boys	2	1808	68.47%	St. Gallen	0	1572	12.19%	19.34%
12	2019-02-03	46.3	Basel	4	1731	57.24%	@ Grasshopper	0	1544	19.12%	23.64%
13	2019-03-03	47.2	@ St. Gallen	3	1560	42.09%	Neuchatel Xamax	0	1552	31.58%	26.33%
14	2019-02-17	47.6	@ Young Boys	2	1848	66.18%	Zurich	0	1635	13.45%	20.37%
15	2019-03-09	48.5	Young Boys	1	1858	73.64%	@ Grasshopper	0	1506	9.57%	16.79%
16	2018-07-22	48.8	@ Young Boys	2	1725	58.15%	Grasshopper	0	1589	18.48%	23.37%
17	2019-03-10	48.8	@ Luzern	3	1580	41.28%	St. Gallen	0	1577	32.33%	26.38%
18	2018-12-01	48.9	@ Thun	2	1645	51.86%	St. Gallen	0	1562	23.14%	25.00%
19	2019-02-23	48.9	Basel	2	1748	57.51%	@ Neuchatel Xamax	0	1559	18.93%	23.56%
20	2018-12-02	49.1	@ Zurich	2	1643	51.34%	Grasshopper	0	1564	23.56%	25.10%
21	2018-08-05	49.2	@ Young Boys	4	1741	51.95%	Zurich	0	1658	23.07%	24.98%
22	2018-09-01	49.6	Young Boys	3	1770	50.93%	@ Sion	0	1636	23.88%	25.19%
23	2018-11-24	49.6	@ Young Boys	1	1825	70.69%	Lugano	0	1565	11.03%	18.28%
24	2019-04-19	49.7	Basel	3	1771	50.83%	@ Sion	0	1638	23.97%	25.21%
25	2019-05-25	49.7	@ Basel	4	1800	68.12%	Neuchatel Xamax	1	1568	12.38%	19.50%