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2017-18 Super League Season

180 games

Final

Champion

Young Boys

84 points

Relegated

No relegation

Biggest Overachiever

Young Boys

13.75 points above expected

84 points · 70.25 expected points

Biggest Disappointment

Lausanne-Sport

5.10 points below expected

35 points · 40.10 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 26 6 4 84 84 41 +43 70.25 +13.75
2 Basel 36 20 9 7 69 72 36 +36 73.35 -4.35
3 Luzern 36 15 9 12 54 51 51 0 49.56 +4.44
4 Zurich 36 12 13 11 49 50 44 +6 51.61 -2.61
5 St. Gallen 36 14 3 19 45 52 72 -20 41.22 +3.78
6 Sion 36 11 9 16 42 53 56 -3 44.79 -2.79
7 Thun 36 12 6 18 42 53 68 -15 45.01 -3.01
8 Lugano 36 12 6 18 42 38 55 -17 42.78 -0.78
9 Grasshopper 36 10 9 17 39 43 52 -9 43.09 -4.09
10 Lausanne-Sport 36 9 8 19 35 46 67 -21 40.10 -5.10

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 84 70.25 +13.75
2 Luzern 54 49.56 +4.44
3 St. Gallen 45 41.22 +3.78
4 Lugano 42 42.78 -0.78
5 Zurich 49 51.61 -2.61

Biggest Disappointments

# Team Actual Sim vsSim
1 Lausanne-Sport 35 40.10 -5.10
2 Basel 69 73.35 -4.35
3 Grasshopper 39 43.09 -4.09
4 Thun 42 45.01 -3.01
5 Sion 42 44.79 -2.79

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 St. Gallen 5 Feb 17 – Mar 17 1 in 494
2 Lugano 4 Dec 16 – Feb 17 1 in 148
3 Young Boys 8 Dec 17 – Mar 17 1 in 52
4 Luzern 3 Mar 11 – Apr 2 1 in 25
5 Lausanne-Sport 2 Oct 14 – Oct 22 1 in 16

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 St. Gallen 7 Apr 18 – May 19 1 in 327
2 Sion 5 Dec 2 – Feb 10 1 in 127
3 Lugano 6 Feb 25 – Apr 8 1 in 86
4 Basel 2 Sep 9 – Sep 20 1 in 44
5 Thun 5 Feb 10 – Mar 11 1 in 44

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Lausanne-Sport 7 Aug 26 – Oct 22 1 in 191
2 Grasshopper 8 Aug 20 – Oct 21 1 in 106
3 Luzern 8 Feb 3 – Apr 2 1 in 60
4 Thun 6 Mar 18 – Apr 21 1 in 36
5 Young Boys 16 Dec 10 – May 5 1 in 32

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Luzern 9 Aug 20 – Oct 29 1 in 75
2 Basel 4 Aug 20 – Sep 20 1 in 61
3 Sion 7 Sep 24 – Nov 18 1 in 21
4 Grasshopper 7 Mar 3 – Apr 18 1 in 19
5 St. Gallen 7 Apr 18 – May 19 1 in 18

Position Race

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

Recent Form

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

Team Elo Season Pts Form Elo Δ (5) Points (5) Expected (5) Actual − Exp
Young Boys 1836 84 -4 12 9.7 +2.3
Basel 1848 69 +8 10 10.0 +0.0
Luzern 1683 54 +10 8 6.6 +1.4
Zurich 1689 49 +24 9 7.2 +1.8
St. Gallen 1571 45 -37 0 5.8 -5.8
Sion 1671 42 +26 10 6.5 +3.5
Lugano 1598 42 +4 7 5.6 +1.4
Thun 1623 42 -9 6 6.3 -0.3
Grasshopper 1609 39 -13 4 5.9 -1.9
Lausanne-Sport 1571 35 -11 4 5.9 -1.9

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 LAU LUG LUZ SIO SG THU YB ZUR
Basel —
3-1-0
8.43
2-1-1
8.77
2-1-1
8.63
2-1-1
8.07
2-2-0
8.24
2-0-2
8.88
4-0-0
8.33
1-2-1
5.95
2-1-1
7.92
Grasshopper
0-1-3
2.79
 —
2-2-0
6.13
2-0-2
5.86
0-3-1
5.07
2-0-2
5.55
1-0-3
5.77
1-1-2
5.64
0-1-3
3.12
2-1-1
4.95
Lausanne-Sport
1-1-2
2.50
0-2-2
4.95
 —
2-0-2
5.33
2-0-2
4.81
0-1-3
4.98
2-1-1
5.28
0-1-3
5.01
1-0-3
2.86
1-2-1
4.33
Lugano
1-1-2
2.62
2-0-2
5.22
2-0-2
5.75
 —
1-0-3
4.69
2-1-1
5.05
2-0-2
5.74
2-2-0
4.86
0-0-4
3.02
0-2-2
4.55
Luzern
1-1-2
3.11
1-3-0
6.03
2-0-2
6.28
3-0-1
6.41
 —
1-2-1
5.80
4-0-0
6.23
1-1-2
6.01
0-0-4
3.51
2-2-0
5.21
Sion
0-2-2
2.96
2-0-2
5.53
3-1-0
6.11
1-1-2
6.05
1-2-1
5.28
 —
1-0-3
6.42
3-0-1
5.69
0-0-4
3.22
0-3-1
5.12
St. Gallen
2-0-2
2.40
3-0-1
5.32
1-1-2
5.81
2-0-2
5.35
0-0-4
4.86
3-0-1
4.68
 —
3-0-1
5.09
0-1-3
3.08
0-1-3
4.51
Thun
0-0-4
2.88
2-1-1
5.45
3-1-0
6.08
0-2-2
6.23
2-1-1
5.08
1-0-3
5.40
1-0-3
6.00
 —
2-1-1
3.02
1-0-3
4.96
Young Boys
1-2-1
5.14
3-1-0
8.07
3-0-1
8.36
4-0-0
8.19
4-0-0
7.64
4-0-0
7.96
3-1-0
8.11
1-1-2
8.18
 —
3-1-0
7.55
Zurich
1-1-2
3.25
1-1-2
6.14
1-2-1
6.77
2-2-0
6.54
0-2-2
5.87
1-3-0
5.97
3-1-0
6.58
3-0-1
6.13
0-1-3
3.60
 —

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 0.86 +10.3
Allowed 0.52 -9.1
Differential 0.89 +6.3

Scoreline Distribution

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

↓ Scored | Allowed →012345+Total
03.33%7.50%5.83%3.89%1.67%—22.22%
17.50%12.22%8.06%3.61%2.50%1.67%35.56%
25.83%8.06%5.00%2.22%1.39%0.56%23.06%
33.89%3.61%2.22%1.11%0.28%—11.11%
41.67%2.50%1.39%0.28%——5.83%
5+—1.67%0.56%———2.22%
Total22.22%35.56%23.06%11.11%5.83%2.22%100%

Summary Statistics

Scored Allowed Difference
Mean 1.51 1.51 +0.00
SD 1.28 1.28 1.93
CV 0.85 0.85 —
Max 7 7 +5
Min 0 0 -5

Games Played: 180

↓ Scored | Allowed →012345+Total
05.56%5.56%5.56%———16.67%
111.11%11.11%5.56%—2.78%—30.56%
25.56%5.56%8.33%———19.44%
38.33%2.78%2.78%———13.89%
42.78%5.56%2.78%———11.11%
5+—8.33%————8.33%
Total33.33%38.89%25.00%—2.78%—100%

Summary Statistics

Scored Allowed Difference
Mean 2.00 1.00 +1.00
SD 1.60 0.93 1.90
CV 0.80 0.93 —
Max 6 4 +5
Min 0 0 -3

Games Played: 36

↓ Scored | Allowed →012345+Total
05.56%8.33%11.11%2.78%2.78%—30.56%
15.56%13.89%13.89%5.56%——38.89%
28.33%—5.56%2.78%——16.67%
32.78%2.78%2.78%———8.33%
42.78%——2.78%——5.56%
5+———————
Total25.00%25.00%33.33%13.89%2.78%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.19 1.44 -0.25
SD 1.14 1.11 1.70
CV 0.96 0.77 —
Max 4 4 +4
Min 0 0 -4

Games Played: 36

↓ Scored | Allowed →012345+Total
05.56%8.33%11.11%5.56%——30.56%
1—13.89%5.56%5.56%11.11%—36.11%
2—11.11%—2.78%—2.78%16.67%
32.78%2.78%2.78%2.78%——11.11%
42.78%—————2.78%
5+—2.78%————2.78%
Total11.11%38.89%19.44%16.67%11.11%2.78%100%

Summary Statistics

Scored Allowed Difference
Mean 1.28 1.86 -0.58
SD 1.26 1.31 1.93
CV 0.98 0.71 —
Max 5 5 +4
Min 0 0 -3

Games Played: 36

↓ Scored | Allowed →012345+Total
02.78%8.33%2.78%13.89%2.78%—30.56%
116.67%11.11%13.89%2.78%——44.44%
28.33%2.78%2.78%—2.78%—16.67%
3——2.78%—2.78%—5.56%
4—2.78%————2.78%
5+———————
Total27.78%25.00%22.22%16.67%8.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.06 1.53 -0.47
SD 0.98 1.30 1.72
CV 0.93 0.85 —
Max 4 4 +3
Min 0 0 -4

Games Played: 36

↓ Scored | Allowed →012345+Total
0—11.11%2.78%———13.89%
18.33%16.67%2.78%5.56%5.56%—38.89%
25.56%19.44%8.33%2.78%2.78%—38.89%
32.78%2.78%2.78%———8.33%
4———————
5+———————
Total16.67%50.00%16.67%8.33%8.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.42 1.42 +0.00
SD 0.84 1.13 1.43
CV 0.59 0.80 —
Max 3 4 +3
Min 0 0 -3

Games Played: 36

↓ Scored | Allowed →012345+Total
0—16.67%5.56%———22.22%
18.33%16.67%5.56%2.78%—5.56%38.89%
25.56%2.78%5.56%8.33%——22.22%
32.78%2.78%2.78%2.78%——11.11%
4—2.78%————2.78%
5+——2.78%———2.78%
Total16.67%41.67%22.22%13.89%—5.56%100%

Summary Statistics

Scored Allowed Difference
Mean 1.47 1.56 -0.08
SD 1.40 1.25 1.81
CV 0.95 0.81 —
Max 7 5 +5
Min 0 0 -4

Games Played: 36

↓ Scored | Allowed →012345+Total
0—2.78%11.11%8.33%5.56%—27.78%
12.78%2.78%5.56%5.56%—2.78%19.44%
25.56%16.67%2.78%5.56%5.56%—36.11%
35.56%2.78%2.78%2.78%——13.89%
4—2.78%————2.78%
5+———————
Total13.89%27.78%22.22%22.22%11.11%2.78%100%

Summary Statistics

Scored Allowed Difference
Mean 1.44 2.00 -0.56
SD 1.13 1.41 2.12
CV 0.78 0.71 —
Max 4 6 +3
Min 0 0 -5

Games Played: 36

↓ Scored | Allowed →012345+Total
02.78%5.56%8.33%5.56%——22.22%
15.56%5.56%13.89%5.56%5.56%2.78%38.89%
25.56%2.78%8.33%——2.78%19.44%
32.78%5.56%2.78%———11.11%
42.78%—2.78%———5.56%
5+——2.78%———2.78%
Total19.44%19.44%38.89%11.11%5.56%5.56%100%

Summary Statistics

Scored Allowed Difference
Mean 1.47 1.89 -0.42
SD 1.28 1.58 2.17
CV 0.87 0.84 —
Max 5 7 +4
Min 0 0 -5

Games Played: 36

↓ Scored | Allowed →012345+Total
02.78%———2.78%—5.56%
113.89%5.56%2.78%2.78%—2.78%27.78%
25.56%13.89%8.33%———27.78%
35.56%8.33%————13.89%
42.78%8.33%8.33%———19.44%
5+—5.56%————5.56%
Total30.56%41.67%19.44%2.78%2.78%2.78%100%

Summary Statistics

Scored Allowed Difference
Mean 2.33 1.14 +1.19
SD 1.43 1.15 1.92
CV 0.61 1.01 —
Max 6 5 +5
Min 0 0 -4

Games Played: 36

↓ Scored | Allowed →012345+Total
08.33%8.33%—2.78%2.78%—22.22%
12.78%25.00%11.11%——2.78%41.67%
28.33%5.56%——2.78%—16.67%
35.56%5.56%—2.78%——13.89%
42.78%2.78%————5.56%
5+———————
Total27.78%47.22%11.11%5.56%5.56%2.78%100%

Summary Statistics

Scored Allowed Difference
Mean 1.39 1.22 +0.17
SD 1.15 1.24 1.83
CV 0.83 1.02 —
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 1848 69 73.35 -4.35 31.0% 51 62 67 73 79 86 92
Young Boys 1836 84 70.25 +13.75 98.0% 54 56 66 70 76 82 89
Zurich 1689 49 51.61 -2.61 37.0% 34 38 46 52 57 63 70
Luzern 1683 54 49.56 +4.44 74.0% 34 37 44 50 55 61 65
Sion 1671 42 44.79 -2.79 40.0% 24 32 39 44 50 56 64
Thun 1623 42 45.01 -3.01 34.0% 20 31 40 45 49 57 67
Grasshopper 1609 39 43.09 -4.09 31.0% 26 31 39 43 48 56 63
Lugano 1598 42 42.78 -0.78 51.0% 28 30 37 42 49 55 62
St. Gallen 1571 45 41.22 +3.78 72.0% 23 27 36 41 46 52 62
Lausanne-Sport 1571 35 40.10 -5.10 29.0% 20 27 34 40 46 55 58

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
+5.00%
No Edge
41.67%21.67%36.67%
Elo Value
Home Edge: 17.39 Elo pts.
174 Elo
0.006 goals per Elo point
0500
Scoring Tilt
Expected
+0.19 goals
Neutral
-2+0.10+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
1.9
One-Team Race
123410
Champion Preseason Odds
37%
Young Boys, 2nd of 10
LongshotFavorite
Title Margin
Expected
0.42/gm
Runaway
00.240.6/gm

Simulation-Based Surprises

How these are measured

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

Luck Spread
Standard deviation of the gap between each team's actual points and their simulated average points. The gold line is the spread the model expected from chance alone.
As Expected: under 6.1 * Some Luck: 6.1 to 9.15 * Lucky: 9.15 to 12.2 * Wild Swing: 12.2 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 1.3 * Close: 1.3 to 1.95 * Off: 1.95 to 2.59 * Way Off: 2.59 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
5.56 points
As Expected
07.6319
Average Finish Error
Expected
1.20
Pinpoint
01.624
Biggest Overachiever
Expected 95.00%
98.00%
Young Boys
50100
Biggest Underachiever
Expected 5.00%
29.00%
Lausanne-Sport
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
0.15
Balanced
00.150.5
Noll-Scully
Elo SD: 100.36
1.89
Strong Separation
11.651.852.052.75
Interquartile Edge
62%
Even
50%63%71%76%100%
Best vs. Worst
Baseline
83%
Even
50%87%100%
Close Games
Expected
58%
Frequent
0%56%100%
Blowouts
Expected
21%
Occasional
0%20%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
0.60
Predictable
00.612
Matchup Imbalance
0.28
Very Even
00.370.5
Strangeness
Expected
0.55
Very Predictable
01.002
Repeatability
0.71
Strong Carryover
00.420.631
Upset Rate
Expected
26%
Very Upset-Prone
0%28%50%
Clear Favorite Upset Rate
Expected
19%
As Expected
0%21%50%

Calibration

How these are measured

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

Probability calibration
An all-in-one chi-square test of the model's probabilities. Matches are grouped by how confident the model was, and within each group the predicted and actual counts of home wins, draws, and away wins are compared. The p-value is plotted; above 0.05 means well-calibrated.
Miscalibrated: under 0.05 * Borderline: 0.05 to 0.1 * Well Calibrated: 0.1 to 0.5 * Excellent: 0.5 and up.
Calibration slope
Checks whether the spread of the probabilities is right. Each probability is turned into log-odds and a line is fit predicting the actual results. A slope of 1.00 is perfect; below 1 is overconfidence (favorites lost more than their odds implied); above 1 is under-confidence.
Overconfident: under 0.85 * Calibrated: 0.85 to 1.15 * Underconfident: 1.15 to 1.3 * Very Underconfident: 1.3 and up.
Calibration error (ECE)
The average gap between the model's stated chances and how often the predicted result actually happened. Smaller is better. The gold line is the noise ceiling, the error luck alone can produce even with perfect probabilities; below it, the model's error is no larger than chance.
Well Within Noise: under 0.12 * Near Noise Ceiling: 0.12 to 0.18 * Above Noise: 0.18 to 0.24 * Well Above Noise: 0.24 and up.
Probability calibration
0.98
Excellent
0.010.050.10.51
Calibration slope
Ideal
1.03
Calibrated
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.074
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).

Team12345678910
Young Boys37.00%56.00%5.00%1.00%1.00%—————
Basel63.00%34.00%2.00%1.00%——————
Luzern—3.00%18.00%27.00%12.00%14.00%8.00%12.00%4.00%2.00%
Zurich—6.00%30.00%18.00%17.00%11.00%5.00%6.00%6.00%1.00%
St. Gallen——3.00%6.00%9.00%13.00%17.00%15.00%16.00%21.00%
Sion——11.00%11.00%15.00%16.00%14.00%14.00%12.00%7.00%
Thun——11.00%14.00%10.00%18.00%17.00%16.00%6.00%8.00%
Lugano—1.00%5.00%10.00%10.00%12.00%13.00%15.00%15.00%19.00%
Grasshopper——7.00%7.00%19.00%9.00%13.00%13.00%18.00%14.00%
Lausanne-Sport——8.00%5.00%7.00%7.00%13.00%9.00%23.00%28.00%

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% —
Young Boys 100% —
Zurich 99.00% 1.00%
Luzern 98.00% 2.00%
Sion 93.00% 7.00%
Thun 92.00% 8.00%
Grasshopper 86.00% 14.00%
Lugano 81.00% 19.00%
St. Gallen 79.00% 21.00%
Lausanne-Sport 72.00% 28.00%

Overall Game Log

Summary of every completed game this season. Sort any column by clicking its header.

Date Opponent ScoreExcitement Pre Elo Opp Elo Win % Tie % Loss %Proj. Margin Elo Δ Points
2017-07-22 Basel W 2-059.4 1755 1825 31.31% 22.71% 45.98%-0.31 +12.9 3
2017-07-22 @ Young Boys L 0-259.4 1825 1755 45.98% 22.71% 31.31%+0.31 -13.0 0
2017-07-22 St. Gallen D 3-380.2 1611 1608 41.34% 22.94% 35.72%+0.11 -0.1 1
2017-07-22 @ Lausanne-Sport D 3-380.2 1608 1611 35.72% 22.94% 41.34%-0.11 +0.1 1
2017-07-23 Lugano W 1-057.2 1662 1634 44.88% 22.78% 32.34%+0.26 +5.2 3
2017-07-23 @ Luzern L 0-157.2 1634 1662 32.34% 22.78% 44.88%-0.26 -5.2 0
2017-07-23 Sion L 0-159.2 1647 1668 38.10% 22.98% 38.92%-0.02 -5.9 0
2017-07-23 @ Thun W 1-059.2 1668 1647 38.92% 22.98% 38.10%+0.02 +5.9 3
2017-07-23 Zurich L 0-254.9 1630 1660 36.64% 22.96% 40.39%-0.08 -10.8 0
2017-07-23 @ Grasshopper W 2-054.9 1660 1630 40.39% 22.96% 36.64%+0.08 +10.8 3
2017-07-29 Young Boys L 0-448.5 1619 1768 22.64% 21.39% 55.97%-0.76 -13.6 0
2017-07-29 @ Grasshopper W 4-048.5 1768 1619 55.97% 21.39% 22.64%+0.76 +13.6 6
2017-07-30 Luzern W 3-156.4 1812 1667 59.56% 20.60% 19.84%+0.94 +5.5 3
2017-07-30 @ Basel L 1-356.4 1667 1812 19.84% 20.60% 59.56%-0.94 -5.5 3
2017-07-30 Sion L 0-157.0 1611 1674 32.29% 22.78% 44.93%-0.26 -5.2 1
2017-07-30 @ Lausanne-Sport W 1-057.0 1674 1611 44.93% 22.78% 32.29%+0.26 +5.2 6
2017-07-30 Thun W 2-162.7 1671 1642 45.11% 22.77% 32.12%+0.27 +4.9 6
2017-07-30 @ Zurich L 1-262.7 1642 1671 32.12% 22.77% 45.11%-0.27 -4.9 0
2017-08-05 Basel L 0-348.2 1637 1818 19.73% 20.57% 59.69%-0.94 -9.2 0
2017-08-05 @ Thun W 3-048.2 1818 1637 59.69% 20.57% 19.73%+0.94 +9.2 6
2017-08-05 Zurich D 0-067.3 1629 1676 34.40% 22.90% 42.70%-0.17 +0.3 1
2017-08-05 @ Lugano D 0-067.3 1676 1629 42.70% 22.90% 34.40%+0.17 -0.3 7
2017-08-06 Grasshopper D 2-277.0 1662 1605 48.75% 22.46% 28.79%+0.43 -0.5 4
2017-08-06 @ Luzern D 2-277.0 1605 1662 28.79% 22.46% 48.75%-0.43 +0.5 1
2017-08-06 Lausanne-Sport W 3-046.8 1781 1605 62.88% 19.72% 17.40%+1.11 +8.1 9
2017-08-06 @ Young Boys L 0-346.8 1605 1781 17.40% 19.72% 62.88%-1.11 -8.1 1
2017-08-06 Sion W 2-057.5 1608 1679 31.34% 22.71% 45.94%-0.30 +13.0 4
2017-08-06 @ St. Gallen L 0-257.5 1679 1608 45.94% 22.71% 31.34%+0.30 -13.0 6
2017-08-09 Lugano L 2-368.1 1597 1629 36.45% 22.96% 40.59%-0.08 -5.1 1
2017-08-09 @ Lausanne-Sport W 3-268.1 1629 1597 40.59% 22.96% 36.45%+0.08 +5.1 4
2017-08-09 Luzern L 0-254.4 1621 1661 35.36% 22.93% 41.71%-0.13 -10.5 4
2017-08-09 @ St. Gallen W 2-054.4 1661 1621 41.71% 22.93% 35.36%+0.13 +10.5 7
2017-08-09 Thun L 0-459.9 1789 1627 61.39% 20.14% 18.47%+1.03 -31.5 9
2017-08-09 @ Young Boys W 4-059.9 1627 1789 18.47% 20.14% 61.39%-1.03 +31.5 3
2017-08-10 Grasshopper W 3-262.4 1827 1606 67.44% 18.25% 14.31%+1.37 +2.1 9
2017-08-10 @ Basel L 2-362.4 1606 1827 14.31% 18.25% 67.44%-1.37 -2.2 1
2017-08-10 Sion W 2-054.9 1676 1666 42.37% 22.91% 34.72%+0.16 +10.4 10
2017-08-10 @ Zurich L 0-254.9 1666 1676 34.72% 22.91% 42.37%-0.16 -10.4 6
2017-08-16 St. Gallen L 0-160.0 1634 1611 44.30% 22.82% 32.88%+0.24 -6.7 4
2017-08-16 @ Lugano W 1-060.0 1611 1634 32.88% 22.82% 44.30%-0.24 +6.7 7
2017-08-19 Lausanne-Sport W 5-257.4 1659 1592 50.08% 22.31% 27.60%+0.48 +9.1 6
2017-08-19 @ Thun L 2-557.4 1592 1659 27.60% 22.31% 50.08%-0.48 -9.1 1
2017-08-19 Young Boys D 0-068.5 1686 1758 31.14% 22.70% 46.16%-0.31 +0.5 11
2017-08-19 @ Zurich D 0-068.5 1758 1686 46.16% 22.70% 31.14%+0.31 -0.5 10
2017-08-20 Lugano D 1-174.0 1829 1628 65.49% 18.91% 15.60%+1.26 -1.7 10
2017-08-20 @ Basel D 1-174.0 1628 1829 15.60% 18.91% 65.49%-1.26 +1.7 5
2017-08-20 Luzern D 1-171.8 1655 1672 38.67% 22.98% 38.35%+0.01 -0.0 7
2017-08-20 @ Sion D 1-171.8 1672 1655 38.35% 22.98% 38.67%-0.01 +0.0 8
2017-08-20 St. Gallen W 2-054.1 1604 1618 38.99% 22.98% 38.03%+0.02 +11.1 4
2017-08-20 @ Grasshopper L 0-254.1 1618 1604 38.03% 22.98% 38.99%-0.02 -11.1 7
2017-08-26 Grasshopper D 1-169.7 1583 1615 36.51% 22.96% 40.52%-0.08 +0.1 2
2017-08-26 @ Lausanne-Sport D 1-169.7 1615 1583 40.52% 22.96% 36.51%+0.08 -0.1 5
2017-08-26 Thun W 4-159.5 1629 1668 35.53% 22.94% 41.54%-0.12 +14.6 8
2017-08-26 @ Lugano L 1-459.5 1668 1629 41.54% 22.94% 35.53%+0.12 -14.6 6
2017-08-27 Basel D 1-173.5 1655 1827 20.52% 20.82% 58.66%-0.89 +1.3 8
2017-08-27 @ Sion D 1-173.5 1827 1655 58.66% 20.82% 20.52%+0.89 -1.3 11
2017-08-27 Young Boys D 2-278.5 1606 1757 22.44% 21.34% 56.22%-0.77 +0.8 8
2017-08-27 @ St. Gallen D 2-278.5 1757 1606 56.22% 21.34% 22.44%+0.77 -0.8 11
2017-08-27 Zurich D 1-172.1 1672 1686 38.89% 22.98% 38.13%+0.02 -0.0 9
2017-08-27 @ Luzern D 1-172.1 1686 1672 38.13% 22.98% 38.89%-0.02 +0.0 12
2017-09-09 Lausanne-Sport L 1-273.2 1826 1583 69.45% 17.50% 13.05%+1.50 -9.2 11
2017-09-09 @ Basel W 2-173.2 1583 1826 13.05% 17.50% 69.45%-1.50 +9.2 5
2017-09-09 St. Gallen D 1-171.7 1686 1607 51.70% 22.10% 26.20%+0.56 -0.8 13
2017-09-09 @ Zurich D 1-171.7 1607 1686 26.20% 22.10% 51.70%-0.56 +0.8 9
2017-09-10 Lugano W 3-049.1 1756 1644 55.78% 21.43% 22.80%+0.75 +10.5 14
2017-09-10 @ Young Boys L 0-349.1 1644 1756 22.80% 21.43% 55.78%-0.75 -10.5 8
2017-09-10 Sion W 3-270.6 1615 1657 35.03% 22.92% 42.05%-0.14 +5.7 8
2017-09-10 @ Grasshopper L 2-370.6 1657 1615 42.05% 22.92% 35.03%+0.14 -5.7 8
2017-09-10 Thun D 2-277.6 1672 1653 43.56% 22.86% 33.58%+0.21 -0.2 10
2017-09-10 @ Luzern D 2-277.6 1653 1672 33.58% 22.86% 43.56%-0.21 +0.2 7
2017-09-20 Basel W 2-172.0 1608 1817 17.53% 19.77% 62.69%-1.10 +8.4 12
2017-09-20 @ St. Gallen L 1-272.0 1817 1608 62.69% 19.77% 17.53%+1.10 -8.4 11
2017-09-20 Luzern W 4-155.3 1767 1671 53.73% 21.79% 24.48%+0.65 +9.4 17
2017-09-20 @ Young Boys L 1-455.3 1671 1767 24.48% 21.79% 53.73%-0.65 -9.4 10
2017-09-20 Zurich D 1-171.3 1592 1686 28.57% 22.43% 49.00%-0.44 +0.7 6
2017-09-20 @ Lausanne-Sport D 1-171.3 1686 1592 49.00% 22.43% 28.57%+0.44 -0.7 14
2017-09-21 Grasshopper D 2-277.0 1654 1620 45.66% 22.73% 31.61%+0.29 -0.3 8
2017-09-21 @ Thun D 2-277.0 1620 1654 31.61% 22.73% 45.66%-0.29 +0.3 9
2017-09-21 Sion L 1-264.3 1634 1651 38.50% 22.98% 38.52%+0.00 -5.6 8
2017-09-21 @ Lugano W 2-164.3 1651 1634 38.52% 22.98% 38.50%+0.00 +5.6 11
2017-09-23 Lausanne-Sport L 2-372.6 1662 1593 50.37% 22.28% 27.36%+0.50 -6.6 10
2017-09-23 @ Luzern W 3-272.6 1593 1662 27.36% 22.28% 50.37%-0.50 +6.6 9
2017-09-23 Zurich W 1-055.0 1808 1685 57.08% 21.16% 21.75%+0.81 +3.7 14
2017-09-23 @ Basel L 0-155.0 1685 1808 21.75% 21.16% 57.08%-0.81 -3.7 14
2017-09-24 Grasshopper L 0-353.5 1628 1621 42.04% 22.92% 35.04%+0.14 -17.5 8
2017-09-24 @ Lugano W 3-053.5 1621 1628 35.04% 22.92% 42.04%-0.14 +17.5 12
2017-09-24 Thun W 3-053.7 1617 1653 35.77% 22.94% 41.29%-0.11 +17.2 15
2017-09-24 @ St. Gallen L 0-353.7 1653 1617 41.29% 22.94% 35.77%+0.11 -17.2 8
2017-09-24 Young Boys L 0-156.2 1657 1776 25.58% 22.00% 52.42%-0.59 -4.2 11
2017-09-24 @ Sion W 1-056.2 1776 1657 52.42% 22.00% 25.58%+0.59 +4.3 20
2017-09-27 Lausanne-Sport D 1-170.9 1652 1600 48.24% 22.51% 29.25%+0.40 -0.6 12
2017-09-27 @ Sion D 1-170.9 1600 1652 29.25% 22.51% 48.24%-0.40 +0.6 10
2017-09-30 Basel D 0-069.2 1638 1812 20.34% 20.76% 58.90%-0.90 +1.5 13
2017-09-30 @ Grasshopper D 0-069.2 1812 1638 58.90% 20.76% 20.34%+0.90 -1.5 15
2017-10-01 Lugano W 3-049.5 1681 1610 50.62% 22.24% 27.13%+0.51 +12.3 17
2017-10-01 @ Zurich L 0-349.5 1610 1681 27.13% 22.24% 50.62%-0.51 -12.3 8
2017-10-01 Luzern W 2-055.5 1636 1655 38.24% 22.98% 38.78%-0.01 +11.3 11
2017-10-01 @ Thun L 0-255.5 1655 1636 38.78% 22.98% 38.24%+0.01 -11.3 10
2017-10-01 St. Gallen W 6-151.1 1781 1634 59.76% 20.56% 19.69%+0.95 +12.2 23
2017-10-01 @ Young Boys L 1-651.1 1634 1781 19.69% 20.56% 59.76%-0.95 -12.2 15
2017-10-14 Basel L 0-446.5 1598 1811 17.26% 19.66% 63.08%-1.12 -10.5 8
2017-10-14 @ Lugano W 4-046.5 1811 1598 63.08% 19.66% 17.26%+1.12 +10.5 18
2017-10-14 Young Boys W 2-171.4 1600 1793 18.80% 20.25% 60.94%-1.01 +8.2 13
2017-10-14 @ Lausanne-Sport L 1-271.4 1793 1600 60.94% 20.25% 18.80%+1.01 -8.2 23
2017-10-15 Luzern D 1-171.3 1640 1644 40.35% 22.96% 36.69%+0.07 -0.1 14
2017-10-15 @ Grasshopper D 1-171.3 1644 1640 36.69% 22.96% 40.35%-0.07 +0.1 11
2017-10-15 St. Gallen L 1-266.1 1652 1622 45.21% 22.76% 32.02%+0.27 -6.4 12
2017-10-15 @ Sion W 2-166.1 1622 1652 32.02% 22.76% 45.21%-0.27 +6.4 18
2017-10-15 Zurich L 1-360.6 1647 1694 34.49% 22.90% 42.61%-0.17 -8.9 11
2017-10-15 @ Thun W 3-160.6 1694 1647 42.61% 22.90% 34.49%+0.17 +8.9 20
2017-10-21 Grasshopper L 0-456.5 1703 1639 49.62% 22.37% 28.01%+0.46 -26.2 20
2017-10-21 @ Zurich W 4-056.5 1639 1703 28.01% 22.37% 49.62%-0.46 +26.2 17
2017-10-21 Thun W 2-158.3 1821 1638 63.60% 19.51% 16.90%+1.15 +2.7 21
2017-10-21 @ Basel L 1-258.3 1638 1821 16.90% 19.51% 63.60%-1.15 -2.7 11
2017-10-22 Lausanne-Sport L 0-453.4 1628 1609 43.71% 22.85% 33.44%+0.21 -23.6 18
2017-10-22 @ St. Gallen W 4-053.4 1609 1628 33.44% 22.85% 43.71%-0.21 +23.6 16
2017-10-22 Lugano D 2-276.4 1645 1588 48.91% 22.44% 28.65%+0.43 -0.5 13
2017-10-22 @ Sion D 2-276.4 1588 1645 28.65% 22.44% 48.91%-0.43 +0.5 9
2017-10-22 Young Boys L 0-155.4 1644 1785 23.45% 21.58% 54.97%-0.71 -3.9 11
2017-10-22 @ Luzern W 1-055.4 1785 1644 54.97% 21.58% 23.45%+0.71 +3.9 26
2017-10-28 Basel D 0-069.2 1676 1824 22.76% 21.42% 55.82%-0.75 +1.2 21
2017-10-28 @ Zurich D 0-069.2 1824 1676 55.82% 21.42% 22.76%+0.75 -1.2 22
2017-10-28 Thun L 1-361.5 1632 1636 40.49% 22.96% 36.55%+0.08 -10.1 16
2017-10-28 @ Lausanne-Sport W 3-161.5 1636 1632 36.55% 22.96% 40.49%-0.08 +10.1 14
2017-10-29 Grasshopper W 3-162.8 1604 1666 32.51% 22.80% 44.70%-0.25 +11.0 21
2017-10-29 @ St. Gallen L 1-362.8 1666 1604 44.70% 22.80% 32.51%+0.25 -11.0 17
2017-10-29 Luzern W 1-059.5 1588 1640 33.71% 22.86% 43.43%-0.20 +6.5 12
2017-10-29 @ Lugano L 0-159.5 1640 1588 43.43% 22.86% 33.71%+0.20 -6.6 11
2017-10-29 Sion W 5-152.0 1789 1645 59.39% 20.64% 19.96%+0.93 +10.1 29
2017-10-29 @ Young Boys L 1-552.0 1645 1789 19.96% 20.64% 59.39%-0.93 -10.1 13
2017-11-04 Lausanne-Sport W 2-053.1 1655 1622 45.53% 22.74% 31.72%+0.29 +9.6 20
2017-11-04 @ Grasshopper L 0-253.1 1622 1655 31.72% 22.74% 45.53%-0.29 -9.6 16
2017-11-04 Zurich D 1-171.7 1635 1678 34.96% 22.92% 42.12%-0.15 +0.2 14
2017-11-04 @ Sion D 1-171.7 1678 1635 42.12% 22.92% 34.96%+0.15 -0.2 22
2017-11-05 Lugano D 1-170.7 1646 1595 48.04% 22.53% 29.42%+0.39 -0.6 15
2017-11-05 @ Thun D 1-170.7 1595 1646 29.42% 22.53% 48.04%-0.39 +0.6 13
2017-11-05 St. Gallen W 3-051.0 1634 1615 43.58% 22.86% 33.57%+0.21 +14.7 14
2017-11-05 @ Luzern L 0-351.0 1615 1634 33.57% 22.86% 43.58%-0.21 -14.7 21
2017-11-05 Young Boys D 1-173.2 1823 1799 44.36% 22.82% 32.83%+0.24 -0.4 23
2017-11-05 @ Basel D 1-173.2 1799 1823 32.83% 22.82% 44.36%-0.24 +0.4 30
2017-11-18 Lugano L 0-254.7 1601 1595 41.75% 22.93% 35.32%+0.13 -12.0 21
2017-11-18 @ St. Gallen W 2-054.7 1595 1601 35.32% 22.93% 41.75%-0.13 +12.0 16
2017-11-18 Sion W 5-150.7 1822 1635 64.06% 19.37% 16.57%+1.18 +8.4 26
2017-11-18 @ Basel L 1-550.7 1635 1822 16.57% 19.37% 64.06%-1.18 -8.4 14
2017-11-19 Luzern W 3-161.6 1612 1648 35.90% 22.95% 41.16%-0.11 +10.3 19
2017-11-19 @ Lausanne-Sport L 1-361.6 1648 1612 41.16% 22.95% 35.90%+0.11 -10.2 14
2017-11-19 Thun W 2-054.1 1664 1645 43.66% 22.85% 33.48%+0.21 +10.1 23
2017-11-19 @ Grasshopper L 0-254.1 1645 1664 33.48% 22.85% 43.66%-0.21 -10.1 15
2017-11-19 Zurich W 2-160.4 1799 1677 56.87% 21.21% 21.92%+0.80 +3.5 33
2017-11-19 @ Young Boys L 1-260.4 1677 1799 21.92% 21.21% 56.87%-0.80 -3.5 22
2017-11-25 Basel L 1-453.3 1638 1831 18.80% 20.25% 60.95%-1.01 -7.4 14
2017-11-25 @ Luzern W 4-153.3 1831 1638 60.95% 20.25% 18.80%+1.01 +7.4 29
2017-11-25 St. Gallen L 1-265.9 1635 1589 47.43% 22.59% 29.98%+0.37 -6.6 15
2017-11-25 @ Thun W 2-165.9 1589 1635 29.98% 22.59% 47.43%-0.37 +6.6 24
2017-11-26 Grasshopper W 3-054.6 1627 1674 34.29% 22.89% 42.82%-0.17 +17.8 17
2017-11-26 @ Sion L 0-354.6 1674 1627 42.82% 22.89% 34.29%+0.17 -17.8 23
2017-11-26 Lausanne-Sport W 2-052.7 1674 1623 48.04% 22.53% 29.42%+0.39 +9.1 25
2017-11-26 @ Zurich L 0-252.7 1623 1674 29.42% 22.53% 48.04%-0.39 -9.0 19
2017-11-26 Young Boys L 1-258.8 1607 1803 18.59% 20.18% 61.23%-1.02 -3.0 16
2017-11-26 @ Lugano W 2-158.8 1803 1607 61.23% 20.18% 18.59%+1.02 +3.0 36
2017-12-02 Basel L 1-452.2 1614 1838 16.41% 19.29% 64.30%-1.19 -6.4 19
2017-12-02 @ Lausanne-Sport W 4-152.2 1838 1614 64.30% 19.29% 16.41%+1.19 +6.4 32
2017-12-02 Sion W 2-164.0 1631 1644 39.04% 22.98% 37.98%+0.02 +5.6 17
2017-12-02 @ Luzern L 1-264.0 1644 1631 37.98% 22.98% 39.04%-0.02 -5.6 17
2017-12-03 Lugano L 0-161.4 1657 1604 48.19% 22.52% 29.29%+0.40 -7.1 23
2017-12-03 @ Grasshopper W 1-061.4 1604 1657 29.29% 22.52% 48.19%-0.40 +7.2 19
2017-12-03 Young Boys W 3-168.1 1629 1805 20.09% 20.69% 59.22%-0.92 +13.9 18
2017-12-03 @ Thun L 1-368.1 1805 1629 59.22% 20.69% 20.09%+0.92 -13.9 36
2017-12-03 Zurich L 1-358.2 1595 1683 29.23% 22.51% 48.26%-0.40 -7.8 24
2017-12-03 @ St. Gallen W 3-158.2 1683 1595 48.26% 22.51% 29.23%+0.40 +7.8 28
2017-12-09 St. Gallen W 3-044.8 1844 1588 70.72% 17.01% 12.28%+1.58 +5.6 35
2017-12-09 @ Basel L 0-344.8 1588 1844 12.28% 17.01% 70.72%-1.58 -5.6 24
2017-12-09 Thun L 2-370.3 1639 1642 40.48% 22.96% 36.56%+0.08 -5.5 17
2017-12-09 @ Sion W 3-270.3 1642 1639 36.56% 22.96% 40.48%-0.08 +5.5 21
2017-12-10 Grasshopper D 1-173.4 1792 1649 59.22% 20.69% 20.10%+0.92 -1.3 37
2017-12-10 @ Young Boys D 1-173.4 1649 1792 20.10% 20.69% 59.22%-0.92 +1.3 24
2017-12-10 Lausanne-Sport L 1-264.1 1612 1607 41.60% 22.94% 35.46%+0.12 -6.0 19
2017-12-10 @ Lugano W 2-164.1 1607 1612 35.46% 22.94% 41.60%-0.12 +6.0 22
2017-12-10 Luzern L 1-267.7 1691 1636 48.48% 22.49% 29.03%+0.41 -6.8 28
2017-12-10 @ Zurich W 2-167.7 1636 1691 29.03% 22.49% 48.48%-0.41 +6.8 20
2017-12-16 Lugano L 0-257.3 1648 1606 46.89% 22.64% 30.48%+0.34 -13.2 21
2017-12-16 @ Thun W 2-057.3 1606 1648 30.48% 22.64% 46.89%-0.34 +13.2 22
2017-12-16 Sion W 3-269.9 1582 1633 33.80% 22.87% 43.33%-0.20 +5.8 27
2017-12-16 @ St. Gallen L 2-369.9 1633 1582 43.33% 22.87% 33.80%+0.20 -5.8 17
2017-12-17 Basel L 0-250.1 1651 1850 18.27% 20.06% 61.67%-1.05 -5.8 24
2017-12-17 @ Grasshopper W 2-050.1 1850 1651 61.67% 20.06% 18.27%+1.05 +5.8 38
2017-12-17 Young Boys L 2-461.6 1643 1790 22.80% 21.43% 55.78%-0.75 -5.6 20
2017-12-17 @ Luzern W 4-261.6 1790 1643 55.78% 21.43% 22.80%+0.75 +5.6 40
2017-12-17 Zurich W 5-159.2 1613 1684 31.29% 22.71% 46.00%-0.31 +20.5 25
2017-12-17 @ Lausanne-Sport L 1-559.2 1684 1613 46.00% 22.71% 31.29%+0.31 -20.5 28
2018-02-03 Lausanne-Sport W 2-163.2 1637 1634 41.53% 22.94% 35.53%+0.12 +5.3 23
2018-02-03 @ Luzern L 1-263.2 1634 1637 35.53% 22.94% 41.53%-0.12 -5.3 25
2018-02-03 St. Gallen W 2-048.1 1796 1588 66.15% 18.69% 15.16%+1.30 +4.8 43
2018-02-03 @ Young Boys L 0-248.1 1588 1796 15.16% 18.69% 66.15%-1.30 -4.8 27
2018-02-04 Grasshopper L 1-361.0 1627 1645 38.50% 22.98% 38.52%+0.00 -9.7 17
2018-02-04 @ Sion W 3-161.0 1645 1627 38.52% 22.98% 38.50%+0.00 +9.7 27
2018-02-04 Lugano L 0-168.1 1856 1619 68.93% 17.70% 13.37%+1.47 -9.7 38
2018-02-04 @ Basel W 1-068.1 1619 1856 13.37% 17.70% 68.93%-1.47 +9.7 25
2018-02-04 Thun L 2-467.5 1663 1635 44.99% 22.78% 32.23%+0.26 -9.9 28
2018-02-04 @ Zurich W 4-267.5 1635 1663 32.23% 22.78% 44.99%-0.26 +9.8 24
2018-02-10 Basel L 0-250.0 1645 1846 18.10% 19.99% 61.91%-1.06 -5.8 24
2018-02-10 @ Thun W 2-050.0 1846 1645 61.91% 19.99% 18.10%+1.06 +5.8 41
2018-02-10 Sion W 1-057.2 1628 1618 42.50% 22.90% 34.59%+0.16 +5.5 28
2018-02-10 @ Lugano L 0-157.2 1618 1628 34.59% 22.90% 42.50%-0.16 -5.5 17
2018-02-11 Luzern L 1-265.7 1655 1643 42.68% 22.90% 34.42%+0.17 -6.1 27
2018-02-11 @ Grasshopper W 2-165.7 1643 1655 34.42% 22.90% 42.68%-0.17 +6.1 26
2018-02-11 Young Boys L 1-453.7 1628 1801 20.50% 20.81% 58.69%-0.89 -8.0 25
2018-02-11 @ Lausanne-Sport W 4-153.7 1801 1628 58.69% 20.81% 20.50%+0.89 +8.0 46
2018-02-11 Zurich L 1-261.3 1583 1654 31.31% 22.71% 45.98%-0.31 -4.8 27
2018-02-11 @ St. Gallen W 2-161.3 1654 1583 45.98% 22.71% 31.31%+0.31 +4.8 31
2018-02-17 Grasshopper W 1-058.8 1634 1649 38.90% 22.98% 38.12%+0.02 +5.9 31
2018-02-17 @ Lugano L 0-158.8 1649 1634 38.12% 22.98% 38.90%-0.02 -5.9 27
2018-02-17 St. Gallen L 0-264.8 1852 1578 72.19% 16.40% 11.41%+1.68 -19.0 41
2018-02-17 @ Basel W 2-064.8 1578 1852 11.41% 16.40% 72.19%-1.68 +18.9 30
2018-02-18 Lausanne-Sport W 3-159.9 1612 1620 39.83% 22.97% 37.20%+0.05 +9.5 20
2018-02-18 @ Sion L 1-359.9 1620 1612 37.20% 22.97% 39.83%-0.05 -9.5 25
2018-02-18 Luzern D 1-171.6 1658 1649 42.34% 22.91% 34.75%+0.15 -0.2 32
2018-02-18 @ Zurich D 1-171.6 1649 1658 34.75% 22.91% 42.34%-0.15 +0.2 27
2018-02-18 Thun W 3-155.5 1809 1639 62.24% 19.90% 17.86%+1.08 +5.0 49
2018-02-18 @ Young Boys L 1-355.5 1639 1809 17.86% 19.90% 62.24%-1.08 -4.9 24
2018-02-24 Sion W 1-052.5 1814 1622 64.54% 19.22% 16.24%+1.21 +2.8 52
2018-02-24 @ Young Boys L 0-152.5 1622 1814 16.24% 19.22% 64.54%-1.21 -2.8 20
2018-02-25 Lugano W 3-053.4 1597 1640 34.98% 22.92% 42.10%-0.15 +17.5 33
2018-02-25 @ St. Gallen L 0-353.4 1640 1597 42.10% 22.92% 34.98%+0.15 -17.5 31
2018-02-25 Thun W 2-162.9 1649 1634 43.12% 22.88% 34.00%+0.19 +5.1 30
2018-02-25 @ Luzern L 1-262.9 1634 1649 34.00% 22.88% 43.12%-0.19 -5.1 24
2018-02-25 Zurich W 1-059.1 1643 1658 38.79% 22.98% 38.23%+0.01 +5.9 30
2018-02-25 @ Grasshopper L 0-159.1 1658 1643 38.23% 22.98% 38.79%-0.01 -5.9 32
2018-03-03 Lausanne-Sport D 0-066.7 1649 1611 46.23% 22.69% 31.08%+0.32 -0.5 31
2018-03-03 @ Grasshopper D 0-066.7 1611 1649 31.08% 22.69% 46.23%-0.32 +0.5 26
2018-03-04 Luzern D 1-171.1 1619 1654 35.99% 22.95% 41.06%-0.10 +0.2 21
2018-03-04 @ Sion D 1-171.1 1654 1619 41.06% 22.95% 35.99%+0.10 -0.2 31
2018-03-04 St. Gallen L 1-265.0 1629 1615 43.00% 22.88% 34.12%+0.18 -6.1 24
2018-03-04 @ Thun W 2-165.0 1615 1629 34.12% 22.88% 43.00%-0.18 +6.1 36
2018-03-04 Young Boys L 2-460.1 1622 1816 18.67% 20.21% 61.12%-1.02 -4.6 31
2018-03-04 @ Lugano W 4-260.1 1816 1622 61.12% 20.21% 18.67%+1.02 +4.6 55
2018-03-10 Lugano W 3-050.7 1652 1618 45.81% 22.72% 31.47%+0.30 +13.9 35
2018-03-10 @ Zurich L 0-350.7 1618 1652 31.47% 22.72% 45.81%-0.30 -13.9 31
2018-03-10 St. Gallen L 1-457.9 1611 1621 39.66% 22.97% 37.36%+0.05 -14.1 26
2018-03-10 @ Lausanne-Sport W 4-157.9 1621 1611 37.36% 22.97% 39.66%-0.05 +14.1 39
2018-03-11 Basel W 1-066.2 1654 1833 19.92% 20.63% 59.45%-0.93 +8.6 34
2018-03-11 @ Luzern L 0-166.2 1833 1654 59.45% 20.63% 19.92%+0.93 -8.6 41
2018-03-11 Grasshopper W 3-155.5 1821 1648 62.58% 19.81% 17.62%+1.10 +4.9 58
2018-03-11 @ Young Boys L 1-355.5 1648 1821 17.62% 19.81% 62.58%-1.10 -4.9 31
2018-03-11 Thun W 7-256.1 1619 1623 40.48% 22.96% 36.56%+0.08 +17.5 24
2018-03-11 @ Sion L 2-756.1 1623 1619 36.56% 22.96% 40.48%-0.08 -17.5 24
2018-03-14 Basel D 1-173.7 1597 1824 16.22% 19.20% 64.58%-1.21 +1.7 27
2018-03-14 @ Lausanne-Sport D 1-173.7 1824 1597 64.58% 19.20% 16.22%+1.21 -1.7 42
2018-03-17 Grasshopper W 2-163.8 1635 1643 39.82% 22.97% 37.21%+0.05 +5.5 42
2018-03-17 @ St. Gallen L 1-263.8 1643 1635 37.21% 22.97% 39.82%-0.05 -5.5 31
2018-03-17 Young Boys L 1-260.3 1666 1826 21.61% 21.13% 57.26%-0.82 -3.4 35
2018-03-17 @ Zurich W 2-160.3 1826 1666 57.26% 21.13% 21.61%+0.82 +3.4 61
2018-03-18 Lausanne-Sport D 0-065.6 1605 1599 41.88% 22.93% 35.20%+0.14 -0.2 25
2018-03-18 @ Thun D 0-065.6 1599 1605 35.20% 22.93% 41.88%-0.14 +0.2 28
2018-03-18 Luzern L 1-262.3 1604 1663 32.82% 22.82% 44.37%-0.24 -5.0 31
2018-03-18 @ Lugano W 2-162.3 1663 1604 44.37% 22.82% 32.82%+0.24 +5.0 37
2018-03-18 Sion W 1-052.8 1823 1637 63.95% 19.40% 16.65%+1.17 +2.8 45
2018-03-18 @ Basel L 0-152.8 1637 1823 16.65% 19.40% 63.95%-1.17 -2.8 24
2018-03-31 Thun L 0-256.7 1638 1605 45.55% 22.74% 31.71%+0.29 -12.9 31
2018-03-31 @ Grasshopper W 2-056.7 1605 1638 31.71% 22.74% 45.55%-0.29 +12.9 28
2018-03-31 Zurich D 1-171.4 1634 1663 36.88% 22.97% 40.15%-0.07 +0.1 25
2018-03-31 @ Sion D 1-171.4 1663 1634 40.15% 22.97% 36.88%+0.07 -0.1 36
2018-04-02 Basel D 2-279.1 1829 1826 41.52% 22.94% 35.54%+0.12 -0.1 62
2018-04-02 @ Young Boys D 2-279.1 1826 1829 35.54% 22.94% 41.52%-0.12 +0.1 46
2018-04-02 Lugano W 2-162.0 1599 1599 41.07% 22.95% 35.98%+0.10 +5.3 31
2018-04-02 @ Lausanne-Sport L 1-262.0 1599 1599 35.98% 22.95% 41.07%-0.10 -5.3 31
2018-04-02 St. Gallen W 3-159.6 1668 1640 44.79% 22.79% 32.42%+0.26 +8.5 40
2018-04-02 @ Luzern L 1-359.6 1640 1668 32.42% 22.79% 44.79%-0.26 -8.5 42
2018-04-07 Grasshopper D 1-171.4 1663 1625 46.24% 22.69% 31.07%+0.32 -0.5 37
2018-04-07 @ Zurich D 1-171.4 1625 1663 31.07% 22.69% 46.24%-0.32 +0.5 32
2018-04-07 Luzern W 1-060.8 1618 1676 32.91% 22.82% 44.27%-0.23 +6.7 31
2018-04-07 @ Thun L 0-160.8 1676 1618 44.27% 22.82% 32.91%+0.23 -6.7 40
2018-04-08 Basel L 0-152.3 1593 1826 15.86% 19.04% 65.11%-1.24 -2.7 31
2018-04-08 @ Lugano W 1-052.3 1826 1593 65.11% 19.04% 15.86%+1.24 +2.7 49
2018-04-08 Sion L 0-254.1 1605 1634 36.82% 22.97% 40.22%-0.07 -10.9 31
2018-04-08 @ Lausanne-Sport W 2-054.1 1634 1605 40.22% 22.97% 36.82%+0.07 +10.9 28
2018-04-08 Young Boys L 2-460.1 1632 1829 18.42% 20.12% 61.46%-1.04 -4.6 42
2018-04-08 @ St. Gallen W 4-260.1 1829 1632 61.46% 20.12% 18.42%+1.04 +4.6 65
2018-04-11 Zurich W 3-047.7 1828 1662 61.88% 20.00% 18.12%+1.06 +8.4 52
2018-04-11 @ Basel L 0-347.7 1662 1828 18.12% 20.00% 61.88%-1.06 -8.4 37
2018-04-14 St. Gallen L 1-264.5 1625 1627 40.71% 22.96% 36.33%+0.09 -5.9 32
2018-04-14 @ Grasshopper W 2-164.5 1627 1625 36.33% 22.96% 40.71%-0.09 +5.9 45
2018-04-14 Thun D 1-170.1 1591 1625 36.19% 22.95% 40.85%-0.09 +0.2 32
2018-04-14 @ Lugano D 1-170.1 1625 1591 40.85% 22.95% 36.19%+0.09 -0.1 32
2018-04-15 Lausanne-Sport W 2-156.4 1837 1594 69.48% 17.49% 13.03%+1.50 +2.1 55
2018-04-15 @ Basel L 1-256.4 1594 1837 13.03% 17.49% 69.48%-1.50 -2.0 31
2018-04-15 Sion L 0-161.1 1669 1645 44.44% 22.81% 32.75%+0.24 -6.7 40
2018-04-15 @ Luzern W 1-061.1 1645 1669 32.75% 22.81% 44.44%-0.24 +6.7 31
2018-04-15 Zurich W 1-053.1 1834 1654 63.33% 19.59% 17.09%+1.14 +2.9 68
2018-04-15 @ Young Boys L 0-153.1 1654 1834 17.09% 19.59% 63.33%-1.14 -2.9 37
2018-04-18 Grasshopper W 1-051.8 1839 1619 67.26% 18.31% 14.43%+1.36 +2.4 58
2018-04-18 @ Basel L 0-151.8 1619 1839 14.43% 18.31% 67.26%-1.36 -2.4 32
2018-04-18 Lugano L 0-161.4 1651 1591 49.28% 22.40% 28.31%+0.45 -7.3 31
2018-04-18 @ Sion W 1-061.4 1591 1651 28.31% 22.40% 49.28%-0.45 +7.3 35
2018-04-18 St. Gallen W 4-051.1 1651 1633 43.47% 22.86% 33.67%+0.20 +19.2 40
2018-04-18 @ Zurich L 0-451.1 1633 1651 33.67% 22.86% 43.47%-0.20 -19.2 45
2018-04-18 Young Boys D 2-279.6 1624 1837 17.28% 19.67% 63.05%-1.12 +1.2 33
2018-04-18 @ Thun D 2-279.6 1837 1624 63.05% 19.67% 17.28%+1.12 -1.2 69
2018-04-19 Luzern L 0-156.2 1592 1663 31.26% 22.71% 46.04%-0.31 -5.0 31
2018-04-19 @ Lausanne-Sport W 1-056.2 1663 1592 46.04% 22.71% 31.26%+0.31 +5.0 43
2018-04-21 Lugano W 4-370.0 1617 1598 43.64% 22.85% 33.50%+0.21 +4.7 35
2018-04-21 @ Grasshopper L 3-470.0 1598 1617 33.50% 22.85% 43.64%-0.21 -4.7 35
2018-04-21 Thun L 0-158.5 1614 1626 39.35% 22.98% 37.68%+0.03 -6.1 45
2018-04-21 @ St. Gallen W 1-058.5 1626 1614 37.68% 22.98% 39.35%-0.03 +6.1 36
2018-04-22 Basel D 2-279.6 1644 1841 18.43% 20.12% 61.45%-1.04 +1.1 32
2018-04-22 @ Sion D 2-279.6 1841 1644 61.45% 20.12% 18.43%+1.04 -1.1 59
2018-04-22 Lausanne-Sport W 4-150.3 1835 1587 70.00% 17.29% 12.71%+1.53 +4.9 72
2018-04-22 @ Young Boys L 1-450.3 1587 1835 12.71% 17.29% 70.00%-1.53 -4.9 31
2018-04-22 Zurich W 2-164.3 1668 1670 40.68% 22.96% 36.36%+0.09 +5.4 46
2018-04-22 @ Luzern L 1-264.3 1670 1668 36.36% 22.96% 40.68%-0.09 -5.4 40
2018-04-28 Grasshopper L 0-156.6 1582 1622 35.34% 22.93% 41.73%-0.13 -5.6 31
2018-04-28 @ Lausanne-Sport W 1-056.6 1622 1582 41.73% 22.93% 35.34%+0.13 +5.6 38
2018-04-28 Luzern W 2-159.0 1840 1673 61.97% 19.98% 18.05%+1.06 +2.9 75
2018-04-28 @ Young Boys L 1-259.0 1673 1840 18.05% 19.98% 61.97%-1.06 -2.9 46
2018-04-29 Sion D 3-381.7 1665 1645 43.71% 22.85% 33.44%+0.21 -0.2 41
2018-04-29 @ Zurich D 3-381.7 1645 1665 33.44% 22.85% 43.71%-0.21 +0.2 33
2018-04-29 St. Gallen W 2-162.7 1594 1608 38.94% 22.98% 38.08%+0.02 +5.6 38
2018-04-29 @ Lugano L 1-262.7 1608 1594 38.08% 22.98% 38.94%-0.02 -5.6 45
2018-04-29 Thun W 6-149.5 1840 1632 66.21% 18.67% 15.12%+1.30 +9.3 62
2018-04-29 @ Basel L 1-649.5 1632 1840 15.12% 18.67% 66.21%-1.30 -9.3 36
2018-05-05 Lugano W 2-051.5 1670 1599 50.66% 22.24% 27.10%+0.51 +8.4 49
2018-05-05 @ Luzern L 0-251.5 1599 1670 27.10% 22.24% 50.66%-0.51 -8.4 38
2018-05-05 Young Boys L 0-153.7 1645 1843 18.38% 20.10% 61.52%-1.04 -3.1 33
2018-05-05 @ Sion W 1-053.7 1843 1645 61.52% 20.10% 18.38%+1.04 +3.1 78
2018-05-06 Basel L 2-458.5 1602 1850 14.87% 18.55% 66.58%-1.32 -3.7 45
2018-05-06 @ St. Gallen W 4-258.5 1850 1602 66.58% 18.55% 14.87%+1.32 +3.7 65
2018-05-06 Grasshopper W 2-163.2 1622 1627 40.29% 22.97% 36.74%+0.07 +5.4 39
2018-05-06 @ Thun L 1-263.2 1627 1622 36.74% 22.97% 40.29%-0.07 -5.4 38
2018-05-06 Lausanne-Sport D 1-170.9 1664 1576 52.82% 21.94% 25.24%+0.61 -0.9 42
2018-05-06 @ Zurich D 1-170.9 1576 1664 25.24% 21.94% 52.82%-0.61 +0.9 32
2018-05-09 Luzern L 2-367.0 1599 1679 30.15% 22.61% 47.25%-0.36 -4.4 45
2018-05-09 @ St. Gallen W 3-267.0 1679 1599 47.25% 22.61% 30.15%+0.36 +4.4 52
2018-05-09 Sion L 0-254.9 1622 1642 38.06% 22.98% 38.96%-0.02 -11.1 38
2018-05-09 @ Grasshopper W 2-054.9 1642 1622 38.96% 22.98% 38.06%+0.02 +11.2 36
2018-05-09 Zurich L 0-158.3 1628 1663 35.92% 22.95% 41.13%-0.11 -5.7 39
2018-05-09 @ Thun W 1-058.3 1663 1628 41.13% 22.95% 35.92%+0.11 +5.6 45
2018-05-10 Lausanne-Sport W 2-051.7 1591 1577 42.91% 22.89% 34.20%+0.18 +10.2 41
2018-05-10 @ Lugano L 0-251.7 1577 1591 34.20% 22.89% 42.91%-0.18 -10.2 32
2018-05-10 Young Boys W 5-157.9 1853 1846 41.97% 22.92% 35.11%+0.14 +16.5 68
2018-05-10 @ Basel L 1-557.9 1846 1853 35.11% 22.92% 41.97%-0.14 -16.5 78
2018-05-13 Basel W 4-166.3 1669 1870 18.16% 20.02% 61.82%-1.06 +20.4 48
2018-05-13 @ Zurich L 1-466.3 1870 1669 61.82% 20.02% 18.16%+1.06 -20.4 68
2018-05-13 Grasshopper D 1-171.6 1683 1611 50.82% 22.22% 26.96%+0.52 -0.8 53
2018-05-13 @ Luzern D 1-171.6 1611 1683 26.96% 22.22% 50.82%-0.52 +0.8 39
2018-05-13 Lugano W 3-153.6 1830 1601 68.16% 17.99% 13.85%+1.42 +3.8 81
2018-05-13 @ Young Boys L 1-353.6 1601 1830 13.85% 17.99% 68.16%-1.42 -3.8 41
2018-05-13 St. Gallen W 3-266.0 1653 1594 49.10% 22.42% 28.47%+0.44 +4.2 39
2018-05-13 @ Sion L 2-366.0 1594 1653 28.47% 22.42% 49.10%-0.44 -4.2 45
2018-05-13 Thun L 0-349.7 1567 1622 33.29% 22.84% 43.87%-0.22 -14.6 32
2018-05-13 @ Lausanne-Sport W 3-049.7 1622 1567 43.87% 22.84% 33.29%+0.22 +14.6 42
2018-05-19 Lausanne-Sport L 0-352.3 1590 1552 46.26% 22.69% 31.05%+0.32 -18.9 45
2018-05-19 @ St. Gallen W 3-052.3 1552 1590 31.05% 22.69% 46.26%-0.32 +18.9 35
2018-05-19 Luzern D 2-279.7 1849 1682 61.95% 19.98% 18.07%+1.06 -1.1 69
2018-05-19 @ Basel D 2-279.7 1682 1849 18.07% 19.98% 61.95%-1.06 +1.1 54
2018-05-19 Sion L 1-458.4 1637 1658 37.99% 22.98% 39.03%-0.02 -13.6 42
2018-05-19 @ Thun W 4-158.4 1658 1637 39.03% 22.98% 37.99%+0.02 +13.6 42
2018-05-19 Young Boys L 1-258.1 1611 1834 16.56% 19.36% 64.08%-1.18 -2.7 39
2018-05-19 @ Grasshopper W 2-158.1 1834 1611 64.08% 19.36% 16.56%+1.18 +2.6 84
2018-05-19 Zurich D 1-171.5 1597 1690 28.65% 22.44% 48.91%-0.43 +0.7 42
2018-05-19 @ Lugano D 1-171.5 1690 1597 48.91% 22.44% 28.65%+0.43 -0.6 49

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
Team Elo Score Team Elo Score
1 2018-02-17 11.41% St. Gallen 1578 2 @ Basel 1852 0
2 2017-09-09 13.05% Lausanne-Sport 1583 2 @ Basel 1826 1
3 2018-02-04 13.37% Lugano 1619 1 @ Basel 1856 0
4 2017-09-20 17.53% @ St. Gallen 1608 2 Basel 1817 1
5 2018-05-13 18.16% @ Zurich 1669 4 Basel 1870 1
6 2017-08-09 18.47% Thun 1627 4 @ Young Boys 1789 0
7 2017-10-14 18.80% @ Lausanne-Sport 1600 2 Young Boys 1793 1
8 2018-03-11 19.92% @ Luzern 1654 1 Basel 1833 0
9 2017-12-03 20.09% @ Thun 1629 3 Young Boys 1805 1
10 2017-09-23 27.36% Lausanne-Sport 1593 3 @ Luzern 1662 2
11 2017-10-21 28.01% Grasshopper 1639 4 @ Zurich 1703 0
12 2018-04-18 28.31% Lugano 1591 1 @ Sion 1651 0
13 2017-12-10 29.03% Luzern 1636 2 @ Zurich 1691 1
14 2017-12-03 29.29% Lugano 1604 1 @ Grasshopper 1657 0
15 2017-11-25 29.98% St. Gallen 1589 2 @ Thun 1635 1
16 2017-12-16 30.48% Lugano 1606 2 @ Thun 1648 0
17 2018-05-19 31.05% Lausanne-Sport 1552 3 @ St. Gallen 1590 0
18 2017-12-17 31.29% @ Lausanne-Sport 1613 5 Zurich 1684 1
19 2017-07-22 31.31% @ Young Boys 1755 2 Basel 1825 0
20 2017-08-06 31.34% @ St. Gallen 1608 2 Sion 1679 0
21 2018-03-31 31.71% Thun 1605 2 @ Grasshopper 1638 0
22 2017-10-15 32.02% St. Gallen 1622 2 @ Sion 1652 1
23 2018-02-04 32.23% Thun 1635 4 @ Zurich 1663 2
24 2017-10-29 32.51% @ St. Gallen 1604 3 Grasshopper 1666 1
25 2018-04-15 32.75% Sion 1645 1 @ Luzern 1669 0

Biggest Elo Changes

The 25 games that resulted in the largest shift in Elo rating.

# Date Elo Δ Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2017-08-09 31.47 Thun 4 1627 18.47% @ Young Boys 0 1789 61.39% 20.14%
2 2017-10-21 26.20 Grasshopper 4 1639 28.01% @ Zurich 0 1703 49.62% 22.37%
3 2017-10-22 23.59 Lausanne-Sport 4 1609 33.44% @ St. Gallen 0 1628 43.71% 22.85%
4 2017-12-17 20.49 @ Lausanne-Sport 5 1613 31.29% Zurich 1 1684 46.00% 22.71%
5 2018-05-13 20.44 @ Zurich 4 1669 18.16% Basel 1 1870 61.82% 20.02%
6 2018-04-18 19.20 @ Zurich 4 1651 43.47% St. Gallen 0 1633 33.67% 22.86%
7 2018-02-17 18.95 St. Gallen 2 1578 11.41% @ Basel 0 1852 72.19% 16.40%
8 2018-05-19 18.92 Lausanne-Sport 3 1552 31.05% @ St. Gallen 0 1590 46.26% 22.69%
9 2017-11-26 17.75 @ Sion 3 1627 34.29% Grasshopper 0 1674 42.82% 22.89%
10 2018-02-25 17.52 @ St. Gallen 3 1597 34.98% Lugano 0 1640 42.10% 22.92%
11 2017-09-24 17.50 Grasshopper 3 1621 35.04% @ Lugano 0 1628 42.04% 22.92%
12 2018-03-11 17.50 @ Sion 7 1619 40.48% Thun 2 1623 36.56% 22.96%
13 2017-09-24 17.25 @ St. Gallen 3 1617 35.77% Thun 0 1653 41.29% 22.94%
14 2018-05-10 16.55 @ Basel 5 1853 41.97% Young Boys 1 1846 35.11% 22.92%
15 2017-11-05 14.66 @ Luzern 3 1634 43.58% St. Gallen 0 1615 33.57% 22.86%
16 2017-08-26 14.61 @ Lugano 4 1629 35.53% Thun 1 1668 41.54% 22.94%
17 2018-05-13 14.56 Thun 3 1622 43.87% @ Lausanne-Sport 0 1567 33.29% 22.84%
18 2018-03-10 14.09 St. Gallen 4 1621 37.36% @ Lausanne-Sport 1 1611 39.66% 22.97%
19 2017-12-03 13.93 @ Thun 3 1629 20.09% Young Boys 1 1805 59.22% 20.69%
20 2018-03-10 13.91 @ Zurich 3 1652 45.81% Lugano 0 1618 31.47% 22.72%
21 2017-07-29 13.63 Young Boys 4 1768 55.97% @ Grasshopper 0 1619 22.64% 21.39%
22 2018-05-19 13.63 Sion 4 1658 39.03% @ Thun 1 1637 37.99% 22.98%
23 2017-12-16 13.17 Lugano 2 1606 30.48% @ Thun 0 1648 46.89% 22.64%
24 2017-07-22 12.96 @ Young Boys 2 1755 31.31% Basel 0 1825 45.98% 22.71%
25 2017-08-06 12.95 @ St. Gallen 2 1608 31.34% Sion 0 1679 45.94% 22.71%

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 %
Team Score Elo Win % Team Score Elo Win %
1 2018-04-29 81.7 @ Zurich 3 1665 43.71% Sion 3 1645 33.44% 22.85%
2 2017-07-22 80.2 @ Lausanne-Sport 3 1611 41.34% St. Gallen 3 1608 35.72% 22.94%
3 2018-05-19 79.7 @ Basel 2 1849 61.95% Luzern 2 1682 18.07% 19.98%
4 2018-04-18 79.6 @ Thun 2 1624 17.28% Young Boys 2 1837 63.05% 19.67%
5 2018-04-22 79.6 @ Sion 2 1644 18.43% Basel 2 1841 61.45% 20.12%
6 2018-04-02 79.1 @ Young Boys 2 1829 41.52% Basel 2 1826 35.54% 22.94%
7 2017-08-27 78.5 @ St. Gallen 2 1606 22.44% Young Boys 2 1757 56.22% 21.34%
8 2017-09-10 77.6 @ Luzern 2 1672 43.56% Thun 2 1653 33.58% 22.86%
9 2017-08-06 77.0 @ Luzern 2 1662 48.75% Grasshopper 2 1605 28.79% 22.46%
10 2017-09-21 77.0 @ Thun 2 1654 45.66% Grasshopper 2 1620 31.61% 22.73%
11 2017-10-22 76.4 @ Sion 2 1645 48.91% Lugano 2 1588 28.65% 22.44%
12 2017-08-20 74.0 @ Basel 1 1829 65.49% Lugano 1 1628 15.60% 18.91%
13 2018-03-14 73.7 @ Lausanne-Sport 1 1597 16.22% Basel 1 1824 64.58% 19.20%
14 2017-08-27 73.5 @ Sion 1 1655 20.52% Basel 1 1827 58.66% 20.82%
15 2017-12-10 73.4 @ Young Boys 1 1792 59.22% Grasshopper 1 1649 20.10% 20.69%
16 2017-09-09 73.2 Lausanne-Sport 2 1583 13.05% @ Basel 1 1826 69.45% 17.50%
17 2017-11-05 73.2 @ Basel 1 1823 44.36% Young Boys 1 1799 32.83% 22.82%
18 2017-09-23 72.6 Lausanne-Sport 3 1593 27.36% @ Luzern 2 1662 50.37% 22.28%
19 2017-08-27 72.1 @ Luzern 1 1672 38.89% Zurich 1 1686 38.13% 22.98%
20 2017-09-20 72.0 @ St. Gallen 2 1608 17.53% Basel 1 1817 62.69% 19.77%
21 2017-08-20 71.8 @ Sion 1 1655 38.67% Luzern 1 1672 38.35% 22.98%
22 2017-09-09 71.7 @ Zurich 1 1686 51.70% St. Gallen 1 1607 26.20% 22.10%
23 2017-11-04 71.7 @ Sion 1 1635 34.96% Zurich 1 1678 42.12% 22.92%
24 2018-02-18 71.6 @ Zurich 1 1658 42.34% Luzern 1 1649 34.75% 22.91%
25 2018-05-13 71.6 @ Luzern 1 1683 50.82% Grasshopper 1 1611 26.96% 22.22%
# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2017-12-09 44.8 @ Basel 3 1844 70.72% St. Gallen 0 1588 12.28% 17.01%
2 2017-10-14 46.5 Basel 4 1811 63.08% @ Lugano 0 1598 17.26% 19.66%
3 2017-08-06 46.8 @ Young Boys 3 1781 62.88% Lausanne-Sport 0 1605 17.40% 19.72%
4 2018-04-11 47.7 @ Basel 3 1828 61.88% Zurich 0 1662 18.12% 20.00%
5 2018-02-03 48.1 @ Young Boys 2 1796 66.15% St. Gallen 0 1588 15.16% 18.69%
6 2017-08-05 48.2 Basel 3 1818 59.69% @ Thun 0 1637 19.73% 20.57%
7 2017-07-29 48.5 Young Boys 4 1768 55.97% @ Grasshopper 0 1619 22.64% 21.39%
8 2017-09-10 49.1 @ Young Boys 3 1756 55.78% Lugano 0 1644 22.80% 21.43%
9 2017-10-01 49.5 @ Zurich 3 1681 50.62% Lugano 0 1610 27.13% 22.24%
10 2018-04-29 49.5 @ Basel 6 1840 66.21% Thun 1 1632 15.12% 18.67%
11 2018-05-13 49.7 Thun 3 1622 43.87% @ Lausanne-Sport 0 1567 33.29% 22.84%
12 2018-02-10 50.0 Basel 2 1846 61.91% @ Thun 0 1645 18.10% 19.99%
13 2017-12-17 50.1 Basel 2 1850 61.67% @ Grasshopper 0 1651 18.27% 20.06%
14 2018-04-22 50.3 @ Young Boys 4 1835 70.00% Lausanne-Sport 1 1587 12.71% 17.29%
15 2017-11-18 50.7 @ Basel 5 1822 64.06% Sion 1 1635 16.57% 19.37%
16 2018-03-10 50.7 @ Zurich 3 1652 45.81% Lugano 0 1618 31.47% 22.72%
17 2017-11-05 51.0 @ Luzern 3 1634 43.58% St. Gallen 0 1615 33.57% 22.86%
18 2017-10-01 51.1 @ Young Boys 6 1781 59.76% St. Gallen 1 1634 19.69% 20.56%
19 2018-04-18 51.1 @ Zurich 4 1651 43.47% St. Gallen 0 1633 33.67% 22.86%
20 2018-05-05 51.5 @ Luzern 2 1670 50.66% Lugano 0 1599 27.10% 22.24%
21 2018-05-10 51.7 @ Lugano 2 1591 42.91% Lausanne-Sport 0 1577 34.20% 22.89%
22 2018-04-18 51.8 @ Basel 1 1839 67.26% Grasshopper 0 1619 14.43% 18.31%
23 2017-10-29 52.0 @ Young Boys 5 1789 59.39% Sion 1 1645 19.96% 20.64%
24 2017-12-02 52.2 Basel 4 1838 64.30% @ Lausanne-Sport 1 1614 16.41% 19.29%
25 2018-04-08 52.3 Basel 1 1826 65.11% @ Lugano 0 1593 15.86% 19.04%