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2016-17 Bundesliga Season

180 games

Final

Champion

Salzburg

81 points

Relegated

No relegation

Biggest Overachiever

Salzburg

8.22 points above expected

81 points · 72.78 expected points

Biggest Disappointment

Rapid Wien

14.14 points below expected

46 points · 60.14 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 Salzburg 36 25 6 5 81 74 24 +50 72.78 +8.22
2 Austria Wien 36 20 3 13 63 72 50 +22 59.49 +3.51
3 Sturm Graz 36 19 3 14 60 55 39 +16 57.30 +2.70
4 SCR Altach 36 15 8 13 53 46 49 -3 51.02 +1.98
5 Rapid Wien 36 12 10 14 46 52 42 +10 60.14 -14.14
6 Admira Wacker 36 13 7 16 46 36 55 -19 43.79 +2.21
7 Mattersburg 36 12 7 17 43 39 54 -15 34.98 +8.02
8 Wolfsberg 36 11 9 16 42 40 59 -19 46.02 -4.02
9 SKN St. Polten 36 9 10 17 37 41 60 -19 40.29 -3.29
10 Ried 36 10 5 21 35 33 56 -23 40.84 -5.84

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 Salzburg 81 72.78 +8.22
2 Mattersburg 43 34.98 +8.02
3 Austria Wien 63 59.49 +3.51
4 Sturm Graz 60 57.30 +2.70
5 Admira Wacker 46 43.79 +2.21

Biggest Disappointments

# Team Actual Sim vsSim
1 Rapid Wien 46 60.14 -14.14
2 Ried 35 40.84 -5.84
3 Wolfsberg 42 46.02 -4.02
4 SKN St. Polten 37 40.29 -3.29
5 SCR Altach 53 51.02 +1.98

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 Admira Wacker 3 Nov 19 – Nov 30 1 in 105
2 Salzburg 8 Nov 30 – Mar 5 1 in 73
3 SCR Altach 4 Jul 23 – Aug 13 1 in 29
4 Wolfsberg 3 Oct 22 – Nov 6 1 in 25
5 Austria Wien 4 Oct 2 – Oct 30 1 in 24

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Ried 7 Dec 11 – Mar 11 1 in 68
2 Austria Wien 3 Mar 19 – Apr 8 1 in 57
3 SCR Altach 4 May 14 – May 28 1 in 42
4 Sturm Graz 3 Feb 11 – Feb 26 1 in 40
5 Rapid Wien 3 Nov 6 – Nov 27 1 in 30

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Admira Wacker 8 Dec 17 – Apr 1 1 in 356
2 SCR Altach 9 Sep 25 – Nov 29 1 in 103
3 Sturm Graz 10 Aug 6 – Oct 22 1 in 58
4 Salzburg 15 Nov 30 – Apr 29 1 in 38
5 Ried 5 Aug 28 – Oct 2 1 in 19

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Rapid Wien 9 Dec 18 – Apr 8 1 in 318
2 SCR Altach 11 Mar 18 – May 28 1 in 286
3 SKN St. Polten 11 Aug 6 – Oct 29 1 in 52
4 Sturm Graz 4 Oct 22 – Nov 19 1 in 24
5 Wolfsberg 7 Apr 1 – May 13 1 in 17

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
Salzburg 1869 81 +2 12 10.8 +1.2
Austria Wien 1753 63 +10 7 8.2 -1.2
Sturm Graz 1694 60 +1 9 8.0 +1.0
SCR Altach 1631 53 -22 1 6.7 -5.7
Rapid Wien 1707 46 +19 12 8.1 +3.9
Admira Wacker 1601 46 -20 3 5.5 -2.5
Mattersburg 1567 43 +7 9 5.2 +3.8
Wolfsberg 1604 42 -2 7 5.4 +1.6
SKN St. Polten 1575 37 +0 5 5.9 -0.9
Ried 1583 35 +5 7 6.5 +0.5

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 AW AW MAT RW RIE SA SSP SAL SG WOL
Admira Wacker —
2-0-2
3.90
2-0-2
6.74
1-1-2
3.95
2-0-2
5.87
0-2-2
4.86
1-2-1
5.99
1-1-2
2.76
2-0-2
4.13
2-1-1
5.33
Austria Wien
2-0-2
7.36
 —
4-0-0
8.02
2-1-1
5.49
3-1-0
7.54
1-1-2
6.57
2-0-2
7.52
0-0-4
4.19
3-0-1
5.80
3-0-1
7.14
Mattersburg
2-0-2
4.49
0-0-4
3.28
 —
0-2-2
3.21
2-1-1
4.89
1-0-3
3.91
1-2-1
5.06
2-0-2
2.13
2-1-1
3.27
2-1-1
4.34
Rapid Wien
2-1-1
7.31
1-1-2
5.73
2-2-0
8.10
 —
2-0-2
7.58
1-1-2
6.62
2-2-0
7.75
0-1-3
4.23
1-1-2
5.90
1-1-2
7.15
Ried
2-0-2
5.35
0-1-3
3.73
1-1-2
6.34
2-0-2
3.68
 —
3-0-1
4.40
1-1-2
5.68
0-1-3
2.70
1-0-3
4.07
0-1-3
5.22
SCR Altach
2-2-0
6.37
2-1-1
4.65
3-0-1
7.35
2-1-1
4.61
1-0-3
6.83
 —
2-1-1
6.83
0-1-3
3.24
0-1-3
5.13
3-1-0
6.06
SKN St. Polten
1-2-1
5.23
2-0-2
3.75
1-2-1
6.15
0-2-2
3.53
2-1-1
5.54
1-1-2
4.41
 —
0-0-4
2.57
2-0-2
3.91
0-2-2
5.05
Salzburg
2-1-1
8.60
4-0-0
7.05
2-0-2
9.30
3-1-0
7.03
3-1-0
8.66
3-1-0
8.07
4-0-0
8.80
 —
2-0-2
7.29
2-2-0
8.35
Sturm Graz
2-0-2
7.11
1-0-3
5.42
1-1-2
8.04
2-1-1
5.32
3-0-1
7.19
3-1-0
6.09
2-0-2
7.35
2-0-2
3.98
 —
3-0-1
6.81
Wolfsberg
1-1-2
5.89
1-0-3
4.10
1-1-2
6.90
2-1-1
4.09
3-1-0
6.00
0-1-3
5.16
2-2-0
6.18
0-2-2
2.97
1-0-3
4.43
 —

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 0.82 +8.8
Allowed 0.76 -11.0
Differential 0.90 +5.5

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
02.78%9.72%6.11%4.17%1.94%1.11%25.83%
19.72%12.78%8.89%3.89%1.67%1.11%38.06%
26.11%8.89%2.78%1.67%0.28%—19.72%
34.17%3.89%1.67%0.56%——10.28%
41.94%1.67%0.28%———3.89%
5+1.11%1.11%————2.22%
Total25.83%38.06%19.72%10.28%3.89%2.22%100%

Summary Statistics

Scored Allowed Difference
Mean 1.36 1.36 +0.00
SD 1.22 1.22 1.98
CV 0.90 0.90 —
Max 6 6 +5
Min 0 0 -5

Games Played: 180

↓ Scored | Allowed →012345+Total
05.56%2.78%13.89%2.78%5.56%2.78%33.33%
116.67%11.11%13.89%——2.78%44.44%
28.33%2.78%2.78%———13.89%
3——5.56%———5.56%
4—2.78%————2.78%
5+———————
Total30.56%19.44%36.11%2.78%5.56%5.56%100%

Summary Statistics

Scored Allowed Difference
Mean 1.00 1.53 -0.53
SD 0.99 1.48 1.98
CV 0.99 0.97 —
Max 4 6 +3
Min 0 0 -5

Games Played: 36

↓ Scored | Allowed →012345+Total
0——2.78%——2.78%5.56%
1—8.33%11.11%8.33%5.56%2.78%36.11%
219.44%5.56%—2.78%——27.78%
313.89%5.56%————19.44%
42.78%5.56%————8.33%
5+—2.78%————2.78%
Total36.11%27.78%13.89%11.11%5.56%5.56%100%

Summary Statistics

Scored Allowed Difference
Mean 2.00 1.39 +0.61
SD 1.26 1.50 2.44
CV 0.63 1.08 —
Max 6 5 +5
Min 0 0 -5

Games Played: 36

↓ Scored | Allowed →012345+Total
0—11.11%8.33%11.11%——30.56%
18.33%11.11%8.33%8.33%——36.11%
28.33%11.11%8.33%———27.78%
3—2.78%2.78%———5.56%
4———————
5+———————
Total16.67%36.11%27.78%19.44%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.08 1.50 -0.42
SD 0.91 1.00 1.56
CV 0.84 0.67 —
Max 3 3 +2
Min 0 0 -3

Games Played: 36

↓ Scored | Allowed →012345+Total
05.56%11.11%5.56%2.78%——25.00%
15.56%22.22%11.11%2.78%——41.67%
2—5.56%—2.78%2.78%—11.11%
35.56%5.56%————11.11%
45.56%2.78%————8.33%
5+2.78%—————2.78%
Total25.00%47.22%16.67%8.33%2.78%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.44 1.17 +0.28
SD 1.36 1.00 1.91
CV 0.94 0.86 —
Max 5 4 +5
Min 0 0 -3

Games Played: 36

↓ Scored | Allowed →012345+Total
0—27.78%5.56%8.33%—2.78%44.44%
15.56%13.89%5.56%2.78%—2.78%30.56%
25.56%8.33%—2.78%——16.67%
32.78%—2.78%———5.56%
4——2.78%———2.78%
5+———————
Total13.89%50.00%16.67%13.89%—5.56%100%

Summary Statistics

Scored Allowed Difference
Mean 0.92 1.56 -0.64
SD 1.05 1.32 1.81
CV 1.15 0.85 —
Max 4 6 +3
Min 0 0 -5

Games Played: 36

↓ Scored | Allowed →012345+Total
08.33%5.56%5.56%5.56%—2.78%27.78%
111.11%11.11%8.33%5.56%2.78%—38.89%
22.78%13.89%————16.67%
32.78%8.33%—2.78%——13.89%
4———————
5+—2.78%————2.78%
Total25.00%41.67%13.89%13.89%2.78%2.78%100%

Summary Statistics

Scored Allowed Difference
Mean 1.28 1.36 -0.08
SD 1.19 1.25 1.87
CV 0.93 0.92 —
Max 5 5 +4
Min 0 0 -5

Games Played: 36

↓ Scored | Allowed →012345+Total
0—11.11%8.33%—2.78%—22.22%
15.56%19.44%11.11%5.56%—2.78%44.44%
2—19.44%5.56%5.56%——30.56%
3———2.78%——2.78%
4———————
5+———————
Total5.56%50.00%25.00%13.89%2.78%2.78%100%

Summary Statistics

Scored Allowed Difference
Mean 1.14 1.67 -0.53
SD 0.80 1.07 1.32
CV 0.70 0.64 —
Max 3 5 +1
Min 0 0 -4

Games Played: 36

↓ Scored | Allowed →012345+Total
05.56%5.56%————11.11%
119.44%8.33%5.56%2.78%——36.11%
213.89%5.56%2.78%———22.22%
32.78%5.56%2.78%———11.11%
42.78%5.56%————8.33%
5+5.56%5.56%————11.11%
Total50.00%36.11%11.11%2.78%——100%

Summary Statistics

Scored Allowed Difference
Mean 2.06 0.67 +1.39
SD 1.58 0.79 1.78
CV 0.77 1.19 —
Max 6 3 +5
Min 0 0 -2

Games Played: 36

↓ Scored | Allowed →012345+Total
0—19.44%8.33%—2.78%—30.56%
18.33%5.56%5.56%—2.78%—22.22%
22.78%11.11%2.78%———16.67%
311.11%11.11%2.78%———25.00%
45.56%—————5.56%
5+———————
Total27.78%47.22%19.44%—5.56%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.53 1.08 +0.44
SD 1.32 1.00 1.96
CV 0.86 0.92 —
Max 4 4 +4
Min 0 0 -4

Games Played: 36

↓ Scored | Allowed →012345+Total
02.78%2.78%2.78%11.11%8.33%—27.78%
116.67%16.67%8.33%2.78%5.56%—50.00%
2—5.56%5.56%2.78%——13.89%
32.78%—————2.78%
42.78%—————2.78%
5+2.78%—————2.78%
Total27.78%25.00%16.67%16.67%13.89%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.11 1.64 -0.53
SD 1.12 1.42 2.16
CV 1.00 0.86 —
Max 5 4 +5
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
Salzburg 1869 81 72.78 +8.22 86.9% 48 61 68 73 78 85 97
Austria Wien 1753 63 59.49 +3.51 68.7% 33 46 55 60 65 71 86
Rapid Wien 1707 46 60.14 -14.14 3.5% 36 48 55 60 65 73 84
Sturm Graz 1694 60 57.30 +2.70 65.4% 32 45 52 57 63 69 84
SCR Altach 1631 53 51.02 +1.98 62.9% 20 38 46 51 56 64 79
Wolfsberg 1604 42 46.02 -4.02 31.3% 22 33 41 46 51 58 74
Admira Wacker 1601 46 43.79 +2.21 65.1% 23 31 38 44 49 57 76
Ried 1583 35 40.84 -5.84 24.6% 17 28 36 41 46 54 65
SKN St. Polten 1575 37 40.29 -3.29 35.1% 19 28 35 40 45 52 64
Mattersburg 1567 43 34.98 +8.02 88.8% 15 23 30 35 40 47 59

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 5% * Slight Edge: 5% to 15% * Clear Edge: 15% to 25% * Strong Edge: 25% 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
+21.11%
Clear Edge
51.11%18.89%30.00%
Elo Value
Home Edge
183 Elo
0.005 goals per Elo point
074.47500
Scoring Tilt
Expected
+0.32 goals
Neutral
-2+0.41+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 4 * Open: 4 to 6 * Wide Open: 6 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 0.15 * Tight Race: 0.15 to 0.4 * Comfortable: 0.4 to 0.75 * Runaway: 0.75 and up.
Title-Race Openness
1.7
One-Team Race
124610
Champion Preseason Odds
76%
Salzburg, 1st of 10
LongshotFavorite
Title Margin
Expected
0.50/gm
Comfortable
00.250.8/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 6.09 * Some Luck: 6.09 to 9.14 * Lucky: 9.14 to 12.19 * Wild Swing: 12.19 and up.
Average Finish Error
Average gap between where each team was projected to finish and where they actually finished in the table.
Pinpoint: under 1.02 * Close: 1.02 to 1.53 * Off: 1.53 to 2.04 * Way Off: 2.04 and up.
Biggest Overachiever
The team that finished highest inside its own range of simulated outcomes. The gold line is where the top team in a league of 10 typically lands.
Biggest Underachiever
The team that finished lowest inside its own range of simulated outcomes. The gold line is where the bottom team in a league of 10 typically lands.
Season Outliers
Number of teams that finished above the 95th or below the 5th percentile of their own simulated range. Even a well-calibrated model expects about 10% of teams in the extremes.
Minimal Outliers: under 10 * As Expected: 10 to 16 * Several Outliers: 16 to 22 * Many Outliers: 22 and up.
Luck Spread
Expected
6.49 points
Some Luck
07.6219
Average Finish Error
Expected
1.40
Close
01.273
Biggest Overachiever
Expected 95.00%
88.80%
Mattersburg
50100
Biggest Underachiever
Expected 5.00%
3.50%
Rapid Wien
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 0.12 * Even: 0.12 to 0.18 * Top-Heavy: 0.18 to 0.26 * Lopsided: 0.26 and up.
Noll-Scully
How much more spread out the table was than a league where every match is a coin flip. The gold line at 1 is that coin-flip baseline. Above it, real talent gaps stretched the table; below it, the league was tighter than luck alone would produce.
Coin-Flip Parity: under 1 * Moderate Separation: 1 to 1.6 * Strong Separation: 1.6 to 2.2 * Wide Separation: 2.2 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 60% * Slight Edge: 60% to 70% * Clear Edge: 70% to 80% * Wide Edge: 80% 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 70% * Clear Edge: 70% to 82% * Strong Edge: 82% to 92% * Dominant: 92% 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 30% * Some Drama: 30% to 40% * Frequent: 40% to 50% * Very Frequent: 50% 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 8% * Occasional: 8% to 14% * Frequent: 14% to 22% * Very Frequent: 22% and up.
Gini Index
0.14
Even
00.120.180.260.5
Noll-Scully
Coin-flip
1.56
Moderate Separation
01.003
Interquartile Edge
66%
Slight Edge
50%60%70%80%100%
Best vs. Worst
Baseline
85%
Strong Edge
50%86%100%
Close Games
Expected
59%
Very Frequent
0%55%100%
Blowouts
Expected
20%
Frequent
0%21%100%

Predictability

How these are measured

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

Brier Score
How close the pregame probabilities landed to the actual result, averaged over the season. Confident, correct calls are rewarded most; confident misses are punished most. Lower is better; since draws are possible, a score under 0.66 beats guessing the base rate.
Highly Predictable: under 0.56 * Predictable: 0.56 to 0.62 * Hard to Predict: 0.62 to 0.66 * Coin-Flip: 0.66 and up.
Matchup Imbalance
How lopsided the matchups were on paper, averaging the gap between the two win probabilities over their sum. 0 means every match was a toss-up; 1 means every match was a heavy favorite against a big underdog.
Very Even: under 0.1 * Slight Separation: 0.1 to 0.18 * Notable Separation: 0.18 to 0.28 * Lopsided: 0.28 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 0.3 * Some Carryover: 0.3 to 0.6 * Strong Carryover: 0.6 to 0.85 * Near-Lock: 0.85 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 25% * As Expected: 25% to 33% * Upset-Prone: 33% to 42% * Very Upset-Prone: 42% 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 15% * As Expected: 15% to 25% * Shaky Favorites: 25% to 35% * Very Shaky: 35% and up.
Brier Score
Expected
0.58
Predictable
00.582
Matchup Imbalance
0.34
Lopsided
00.10.180.280.5
Strangeness
Expected
0.74
Very Predictable
01.002
Repeatability
0.79
Strong Carryover
00.30.60.851
Upset Rate
Expected
26%
As Expected
0%27%50%
Clear Favorite Upset Rate
Expected
24%
As Expected
0%22%50%

Calibration

How these are measured

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

Probability calibration
An all-in-one chi-square test of the model's probabilities. Matches are grouped by how confident the model was, and within each group the predicted and actual counts of home wins, draws, and away wins are compared. The p-value is plotted; above 0.05 means well-calibrated.
Miscalibrated: under 0.05 * Borderline: 0.05 to 0.1 * Well Calibrated: 0.1 to 0.5 * Excellent: 0.5 and up.
Calibration slope
Checks whether the spread of the probabilities is right. Each probability is turned into log-odds and a line is fit predicting the actual results. A slope of 1.00 is perfect; below 1 is overconfidence (favorites lost more than their odds implied); above 1 is under-confidence.
Overconfident: under 0.85 * Calibrated: 0.85 to 1.15 * Underconfident: 1.15 to 1.3 * Very Underconfident: 1.3 and up.
Calibration error (ECE)
The average gap between the model's stated chances and how often the predicted result actually happened. Smaller is better. The gold line is the noise ceiling, the error luck alone can produce even with perfect probabilities; below it, the model's error is no larger than chance.
Well Within Noise: under 0.12 * Near Noise Ceiling: 0.12 to 0.18 * Above Noise: 0.18 to 0.25 * Well Above Noise: 0.25 and up.
Probability calibration
0.75
Excellent
0.010.050.10.51
Calibration slope
Ideal
0.85
Calibrated
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.046
Well Within Noise
00.1230.3

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
Salzburg75.70%15.20%6.60%1.80%0.40%0.30%————
Austria Wien8.60%27.60%25.40%17.90%10.10%5.00%3.10%1.80%0.40%0.10%
Sturm Graz4.90%19.80%22.20%23.30%15.50%6.70%5.20%1.70%0.60%0.10%
SCR Altach1.50%6.40%10.80%17.50%24.40%15.30%10.00%7.20%4.40%2.50%
Rapid Wien9.10%27.60%26.20%18.20%10.70%4.70%2.30%0.90%0.30%—
Admira Wacker0.20%1.20%3.10%5.70%9.80%16.60%20.00%18.80%14.50%10.10%
Mattersburg——0.20%0.90%1.90%4.90%8.70%13.90%23.40%46.10%
Wolfsberg—1.70%3.30%8.20%14.60%22.80%18.00%15.10%10.20%6.10%
SKN St. Polten—0.10%0.90%2.90%5.00%13.10%14.40%22.20%24.00%17.40%
Ried—0.40%1.30%3.60%7.60%10.60%18.30%18.40%22.20%17.60%

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
Rapid Wien 100% —
Salzburg 100% —
Austria Wien 99.90% 0.10%
Sturm Graz 99.90% 0.10%
SCR Altach 97.50% 2.50%
Wolfsberg 93.90% 6.10%
Admira Wacker 89.90% 10.10%
SKN St. Polten 82.60% 17.40%
Ried 82.40% 17.60%
Mattersburg 53.90% 46.10%

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
2016-07-23 Ried W 5-047.9 1727 1617 63.52% 17.35% 19.12%+1.00 +10.0 3
2016-07-23 @ Rapid Wien L 0-547.9 1617 1727 19.12% 17.35% 63.52%-1.00 -9.9 0
2016-07-23 Salzburg W 3-165.8 1670 1791 33.52% 19.84% 46.64%-0.26 +8.1 3
2016-07-23 @ Sturm Graz L 1-365.8 1791 1670 46.64% 19.84% 33.52%+0.26 -8.1 0
2016-07-23 Wolfsberg W 1-055.5 1641 1640 50.52% 19.54% 29.93%+0.41 +3.4 3
2016-07-23 @ SCR Altach L 0-155.5 1640 1641 29.93% 19.54% 50.52%-0.41 -3.4 0
2016-07-24 Admira Wacker L 0-156.6 1553 1633 39.18% 20.03% 40.79%-0.03 -4.3 0
2016-07-24 @ Mattersburg W 1-056.6 1633 1553 40.79% 20.03% 39.18%+0.03 +4.3 3
2016-07-24 Austria Wien L 1-264.3 1606 1707 36.30% 19.98% 43.73%-0.14 -3.8 0
2016-07-24 @ SKN St. Polten W 2-164.3 1707 1606 43.73% 19.98% 36.30%+0.14 +3.8 3
2016-07-30 Sturm Graz W 1-058.5 1607 1678 40.56% 20.04% 39.40%+0.02 +4.3 3
2016-07-30 @ Ried L 0-158.5 1678 1607 39.40% 20.04% 40.56%-0.02 -4.3 3
2016-07-30 Wolfsberg D 1-175.1 1783 1636 67.40% 16.31% 16.30%+1.21 -1.3 1
2016-07-30 @ Salzburg D 1-175.1 1636 1783 16.30% 16.31% 67.40%-1.21 +1.3 1
2016-07-31 Admira Wacker W 2-162.7 1603 1638 45.55% 19.90% 34.55%+0.21 +3.7 3
2016-07-31 @ SKN St. Polten L 1-262.7 1638 1603 34.55% 19.90% 45.55%-0.21 -3.7 3
2016-07-31 Mattersburg W 3-153.3 1711 1549 68.88% 15.86% 15.27%+1.29 +2.9 6
2016-07-31 @ Austria Wien L 1-353.3 1549 1711 15.27% 15.86% 68.88%-1.29 -2.9 0
2016-07-31 Rapid Wien W 1-060.5 1645 1737 37.50% 20.01% 42.49%-0.10 +4.6 6
2016-07-31 @ SCR Altach L 0-160.5 1737 1645 42.49% 20.01% 37.50%+0.10 -4.6 3
2016-08-06 Ried W 1-054.0 1638 1612 53.72% 19.18% 27.10%+0.55 +3.2 4
2016-08-06 @ Wolfsberg L 0-154.0 1612 1638 27.10% 19.18% 53.72%-0.55 -3.1 3
2016-08-06 SCR Altach L 1-267.4 1634 1649 48.33% 19.73% 31.94%+0.32 -4.8 3
2016-08-06 @ Admira Wacker W 2-167.4 1649 1634 31.94% 19.73% 48.33%-0.32 +4.8 9
2016-08-06 SKN St. Polten W 2-047.7 1782 1606 70.17% 15.44% 14.39%+1.36 +3.2 4
2016-08-06 @ Salzburg L 0-247.7 1606 1782 14.39% 15.44% 70.17%-1.36 -3.2 3
2016-08-06 Sturm Graz L 0-252.4 1546 1673 32.81% 19.80% 47.40%-0.29 -7.0 0
2016-08-06 @ Mattersburg W 2-052.4 1673 1546 47.40% 19.80% 32.81%+0.29 +7.0 6
2016-08-07 Rapid Wien L 1-463.3 1714 1732 47.91% 19.76% 32.33%+0.31 -11.7 6
2016-08-07 @ Austria Wien W 4-163.3 1732 1714 32.33% 19.76% 47.91%-0.31 +11.7 6
2016-08-13 Admira Wacker W 4-047.5 1744 1629 64.05% 17.22% 18.72%+1.03 +7.9 9
2016-08-13 @ Rapid Wien L 0-447.5 1629 1744 18.72% 17.22% 64.05%-1.03 -7.9 3
2016-08-13 Salzburg L 0-252.6 1608 1785 26.93% 19.16% 53.92%-0.56 -5.9 3
2016-08-13 @ Ried W 2-052.6 1785 1608 53.92% 19.16% 26.93%+0.56 +5.9 7
2016-08-13 SKN St. Polten W 3-156.8 1654 1603 56.81% 18.73% 24.46%+0.68 +4.7 12
2016-08-13 @ SCR Altach L 1-356.8 1603 1654 24.46% 18.73% 56.81%-0.68 -4.7 3
2016-08-13 Wolfsberg W 3-161.5 1539 1641 36.19% 19.97% 43.84%-0.15 +7.7 3
2016-08-13 @ Mattersburg L 1-361.5 1641 1539 43.84% 19.97% 36.19%+0.15 -7.7 4
2016-08-14 Austria Wien W 3-161.1 1680 1702 47.40% 19.80% 32.80%+0.29 +6.1 9
2016-08-14 @ Sturm Graz L 1-361.1 1702 1680 32.80% 19.80% 47.40%-0.29 -6.1 6
2016-08-20 Mattersburg W 3-152.1 1791 1547 76.10% 13.27% 10.64%+1.74 +2.0 10
2016-08-20 @ Salzburg L 1-352.1 1547 1791 10.64% 13.27% 76.10%-1.74 -2.0 3
2016-08-20 Ried W 1-053.8 1621 1602 52.81% 19.30% 27.89%+0.51 +3.2 6
2016-08-20 @ Admira Wacker L 0-153.8 1602 1621 27.89% 19.30% 52.81%-0.51 -3.2 3
2016-08-20 Sturm Graz L 1-361.7 1598 1686 38.06% 20.02% 41.92%-0.07 -6.9 3
2016-08-20 @ SKN St. Polten W 3-161.7 1686 1598 41.92% 20.02% 38.06%+0.07 +6.9 12
2016-08-21 Rapid Wien D 1-173.8 1633 1752 33.91% 19.87% 46.22%-0.24 +0.3 5
2016-08-21 @ Wolfsberg D 1-173.8 1752 1633 46.22% 19.87% 33.91%+0.24 -0.3 10
2016-08-21 SCR Altach W 3-158.6 1696 1659 55.15% 18.98% 25.86%+0.61 +4.9 9
2016-08-21 @ Austria Wien L 1-358.6 1659 1696 25.86% 18.98% 55.15%-0.61 -4.9 12
2016-08-27 Admira Wacker W 5-050.4 1633 1625 51.48% 19.45% 29.08%+0.45 +14.8 8
2016-08-27 @ Wolfsberg L 0-550.4 1625 1633 29.08% 19.45% 51.48%-0.45 -14.8 6
2016-08-27 SCR Altach W 3-158.4 1693 1654 55.42% 18.94% 25.64%+0.62 +4.9 15
2016-08-27 @ Sturm Graz L 1-358.4 1654 1693 25.64% 18.94% 55.42%-0.62 -4.9 12
2016-08-27 SKN St. Polten D 1-169.5 1545 1592 43.95% 19.97% 36.08%+0.15 -0.2 4
2016-08-27 @ Mattersburg D 1-169.5 1592 1545 36.08% 19.97% 43.95%-0.15 +0.2 4
2016-08-28 Austria Wien D 1-172.9 1599 1701 36.16% 19.97% 43.86%-0.15 +0.2 4
2016-08-28 @ Ried D 1-172.9 1701 1599 43.86% 19.97% 36.16%+0.15 -0.2 10
2016-08-28 Salzburg D 0-069.5 1751 1793 44.67% 19.94% 35.38%+0.18 -0.2 11
2016-08-28 @ Rapid Wien D 0-069.5 1793 1751 35.38% 19.94% 44.67%-0.18 +0.2 11
2016-09-10 Mattersburg W 2-156.5 1649 1545 62.95% 17.49% 19.56%+0.97 +2.2 15
2016-09-10 @ SCR Altach L 1-256.5 1545 1649 19.56% 17.49% 62.95%-0.97 -2.2 4
2016-09-10 Rapid Wien D 1-174.1 1698 1751 43.06% 20.00% 36.94%+0.12 -0.1 16
2016-09-10 @ Sturm Graz D 1-174.1 1751 1698 36.94% 20.00% 43.06%-0.12 +0.1 12
2016-09-10 Ried L 2-371.6 1592 1599 49.31% 19.65% 31.04%+0.36 -4.7 4
2016-09-10 @ SKN St. Polten W 3-271.6 1599 1592 31.04% 19.65% 49.31%-0.36 +4.6 7
2016-09-10 Wolfsberg W 4-155.2 1701 1648 57.04% 18.69% 24.27%+0.69 +6.6 13
2016-09-10 @ Austria Wien L 1-455.2 1648 1701 24.27% 18.69% 57.04%-0.69 -6.6 8
2016-09-11 Salzburg L 0-450.5 1610 1793 26.21% 19.04% 54.75%-0.59 -10.9 6
2016-09-11 @ Admira Wacker W 4-050.5 1793 1610 54.75% 19.04% 26.21%+0.59 +10.9 14
2016-09-17 SCR Altach W 2-163.4 1604 1651 43.91% 19.97% 36.12%+0.15 +3.8 10
2016-09-17 @ Ried L 1-263.4 1651 1604 36.12% 19.97% 43.91%-0.15 -3.8 15
2016-09-17 SKN St. Polten D 1-172.1 1641 1587 57.24% 18.65% 24.10%+0.70 -0.8 9
2016-09-17 @ Wolfsberg D 1-172.1 1587 1641 24.10% 18.65% 57.24%-0.70 +0.8 5
2016-09-17 Sturm Graz L 0-353.1 1599 1698 36.52% 19.98% 43.49%-0.13 -11.2 6
2016-09-17 @ Admira Wacker W 3-053.1 1698 1599 43.49% 19.98% 36.52%+0.13 +11.1 19
2016-09-18 Austria Wien W 4-154.6 1804 1707 62.12% 17.69% 20.20%+0.93 +5.5 17
2016-09-18 @ Salzburg L 1-454.6 1707 1804 20.20% 17.69% 62.12%-0.93 -5.5 13
2016-09-18 Mattersburg W 3-044.1 1751 1543 73.16% 14.40% 12.44%+1.55 +3.9 15
2016-09-18 @ Rapid Wien L 0-344.1 1543 1751 12.44% 14.40% 73.16%-1.55 -3.9 4
2016-09-24 Admira Wacker L 1-271.5 1702 1588 64.02% 17.23% 18.75%+1.03 -6.2 13
2016-09-24 @ Austria Wien W 2-171.5 1588 1702 18.75% 17.23% 64.02%-1.03 +6.2 9
2016-09-24 Rapid Wien D 1-173.6 1588 1755 27.96% 19.30% 52.74%-0.51 +0.6 6
2016-09-24 @ SKN St. Polten D 1-173.6 1755 1588 52.74% 19.30% 27.96%+0.51 -0.6 16
2016-09-24 Ried D 1-169.8 1539 1608 40.73% 20.03% 39.24%+0.03 -0.0 5
2016-09-24 @ Mattersburg D 1-169.8 1608 1539 39.24% 20.03% 40.73%-0.03 +0.0 11
2016-09-24 Wolfsberg W 3-049.1 1709 1641 58.91% 18.35% 22.73%+0.78 +7.3 22
2016-09-24 @ Sturm Graz L 0-349.1 1641 1709 22.73% 18.35% 58.91%-0.78 -7.3 9
2016-09-25 Salzburg D 0-069.4 1647 1809 28.54% 19.38% 52.08%-0.48 +0.6 16
2016-09-25 @ SCR Altach D 0-069.4 1809 1647 52.08% 19.38% 28.54%+0.48 -0.6 18
2016-10-01 Mattersburg W 1-050.2 1594 1539 57.36% 18.63% 24.01%+0.71 +2.8 12
2016-10-01 @ Admira Wacker L 0-150.2 1539 1594 24.01% 18.63% 57.36%-0.71 -2.8 5
2016-10-01 SCR Altach L 1-267.4 1633 1648 48.40% 19.73% 31.88%+0.33 -4.8 9
2016-10-01 @ Wolfsberg W 2-167.4 1648 1633 31.88% 19.73% 48.40%-0.33 +4.8 19
2016-10-02 Rapid Wien W 4-270.0 1608 1755 30.38% 19.59% 50.03%-0.39 +7.7 14
2016-10-02 @ Ried L 2-470.0 1755 1608 50.03% 19.59% 30.38%+0.39 -7.7 16
2016-10-02 SKN St. Polten W 2-158.0 1696 1588 63.29% 17.41% 19.30%+0.99 +2.1 16
2016-10-02 @ Austria Wien L 1-258.0 1588 1696 19.30% 17.41% 63.29%-0.99 -2.1 6
2016-10-02 Sturm Graz L 0-166.3 1809 1716 61.65% 17.79% 20.56%+0.91 -6.3 18
2016-10-02 @ Salzburg W 1-066.3 1716 1809 20.56% 17.79% 61.65%-0.91 +6.3 25
2016-10-15 Ried W 1-052.4 1723 1616 63.28% 17.41% 19.31%+0.99 +2.3 28
2016-10-15 @ Sturm Graz L 0-152.4 1616 1723 19.31% 17.41% 63.28%-0.99 -2.3 14
2016-10-15 Salzburg D 2-280.9 1629 1802 27.21% 19.20% 53.59%-0.54 +0.5 10
2016-10-15 @ Wolfsberg D 2-280.9 1802 1629 53.59% 19.20% 27.21%+0.54 -0.5 19
2016-10-15 SCR Altach D 1-174.5 1747 1653 61.85% 17.75% 20.40%+0.92 -1.0 17
2016-10-15 @ Rapid Wien D 1-174.5 1653 1747 20.40% 17.75% 61.85%-0.92 +1.0 20
2016-10-15 SKN St. Polten D 1-170.9 1597 1586 51.72% 19.42% 28.86%+0.46 -0.5 13
2016-10-15 @ Admira Wacker D 1-170.9 1586 1597 28.86% 19.42% 51.72%-0.46 +0.5 7
2016-10-16 Austria Wien L 0-251.2 1536 1698 28.56% 19.38% 52.06%-0.48 -6.2 5
2016-10-16 @ Mattersburg W 2-051.2 1698 1536 52.06% 19.38% 28.56%+0.48 +6.2 19
2016-10-22 Admira Wacker W 2-049.9 1654 1596 57.60% 18.59% 23.80%+0.72 +5.3 23
2016-10-22 @ SCR Altach L 0-249.9 1596 1654 23.80% 18.59% 57.60%-0.72 -5.3 13
2016-10-22 Mattersburg D 2-280.4 1725 1530 72.01% 14.81% 13.18%+1.47 -1.1 29
2016-10-22 @ Sturm Graz D 2-280.4 1530 1725 13.18% 14.81% 72.01%-1.47 +1.1 6
2016-10-22 Wolfsberg L 0-160.4 1613 1629 48.24% 19.74% 32.02%+0.32 -5.1 14
2016-10-22 @ Ried W 1-060.4 1629 1613 32.02% 19.74% 48.24%-0.32 +5.1 13
2016-10-23 Austria Wien L 0-261.5 1746 1704 55.69% 18.90% 25.40%+0.63 -10.9 17
2016-10-23 @ Rapid Wien W 2-061.5 1704 1746 25.40% 18.90% 55.69%-0.63 +10.9 22
2016-10-23 Salzburg L 1-553.2 1587 1802 22.95% 18.40% 58.65%-0.77 -8.0 7
2016-10-23 @ SKN St. Polten W 5-153.2 1802 1587 58.65% 18.40% 22.95%+0.77 +8.0 22
2016-10-29 Mattersburg W 3-044.7 1634 1531 62.88% 17.51% 19.61%+0.97 +6.3 16
2016-10-29 @ Wolfsberg L 0-344.7 1531 1634 19.61% 17.51% 62.88%-0.97 -6.3 6
2016-10-29 Rapid Wien L 1-262.7 1591 1735 30.71% 19.62% 49.67%-0.38 -3.3 13
2016-10-29 @ Admira Wacker W 2-162.7 1735 1591 49.67% 19.62% 30.71%+0.38 +3.3 20
2016-10-29 Ried W 1-050.2 1810 1608 72.56% 14.62% 12.82%+1.51 +1.5 25
2016-10-29 @ Salzburg L 0-150.2 1608 1810 12.82% 14.62% 72.56%-1.51 -1.5 14
2016-10-29 SCR Altach L 0-157.7 1579 1659 39.17% 20.03% 40.80%-0.03 -4.3 7
2016-10-29 @ SKN St. Polten W 1-057.7 1659 1579 40.80% 20.03% 39.17%+0.03 +4.3 26
2016-10-30 Sturm Graz W 2-054.3 1715 1724 49.14% 19.67% 31.20%+0.36 +6.7 25
2016-10-30 @ Austria Wien L 0-254.3 1724 1715 31.20% 19.67% 49.14%-0.36 -6.7 29
2016-11-05 Admira Wacker W 2-159.5 1607 1588 52.84% 19.29% 27.87%+0.51 +3.0 17
2016-11-05 @ Ried L 1-259.5 1588 1607 27.87% 19.29% 52.84%-0.51 -3.0 13
2016-11-05 SKN St. Polten L 1-272.2 1717 1574 67.00% 16.42% 16.58%+1.19 -6.4 29
2016-11-05 @ Sturm Graz W 2-172.2 1574 1717 16.58% 16.42% 67.00%-1.19 +6.4 10
2016-11-06 Austria Wien W 5-158.1 1663 1722 42.28% 20.01% 37.71%+0.09 +12.5 29
2016-11-06 @ SCR Altach L 1-558.1 1722 1663 37.71% 20.01% 42.28%-0.09 -12.5 25
2016-11-06 Salzburg W 2-172.6 1524 1812 16.90% 16.55% 66.54%-1.16 +6.4 9
2016-11-06 @ Mattersburg L 1-272.6 1812 1524 66.54% 16.55% 16.90%+1.16 -6.4 25
2016-11-06 Wolfsberg L 0-165.7 1738 1640 62.25% 17.66% 20.09%+0.94 -6.4 20
2016-11-06 @ Rapid Wien W 1-065.7 1640 1738 20.09% 17.66% 62.25%-0.94 +6.4 19
2016-11-19 Mattersburg D 2-275.7 1581 1531 56.73% 18.74% 24.53%+0.68 -0.6 11
2016-11-19 @ SKN St. Polten D 2-275.7 1531 1581 24.53% 18.74% 56.73%-0.68 +0.6 10
2016-11-19 Ried W 2-049.4 1709 1610 62.43% 17.61% 19.95%+0.95 +4.4 28
2016-11-19 @ Austria Wien L 0-249.4 1610 1709 19.95% 17.61% 62.43%-0.95 -4.4 17
2016-11-19 Sturm Graz D 1-173.8 1676 1711 45.56% 19.90% 34.54%+0.21 -0.3 30
2016-11-19 @ SCR Altach D 1-173.8 1711 1676 34.54% 19.90% 45.56%-0.21 +0.3 30
2016-11-19 Wolfsberg W 4-158.2 1585 1647 41.74% 20.02% 38.24%+0.07 +9.8 16
2016-11-19 @ Admira Wacker L 1-458.2 1647 1585 38.24% 20.02% 41.74%-0.07 -9.8 19
2016-11-20 Rapid Wien W 2-161.0 1805 1732 59.48% 18.25% 22.28%+0.81 +2.5 28
2016-11-20 @ Salzburg L 1-261.0 1732 1805 22.28% 18.25% 59.48%-0.81 -2.5 20
2016-11-26 SCR Altach L 1-260.7 1531 1675 30.68% 19.62% 49.71%-0.38 -3.3 10
2016-11-26 @ Mattersburg W 2-160.7 1675 1531 49.71% 19.62% 30.68%+0.38 +3.3 33
2016-11-26 SKN St. Polten L 1-267.0 1605 1580 53.60% 19.20% 27.21%+0.54 -5.3 17
2016-11-26 @ Ried W 2-167.0 1580 1605 27.21% 19.20% 53.60%-0.54 +5.3 14
2016-11-27 Admira Wacker L 0-168.2 1808 1594 73.56% 14.25% 12.19%+1.57 -7.3 28
2016-11-27 @ Salzburg W 1-068.2 1594 1808 12.19% 14.25% 73.56%-1.57 +7.4 19
2016-11-27 Austria Wien L 0-354.7 1637 1714 39.68% 20.04% 40.29%-0.01 -11.9 19
2016-11-27 @ Wolfsberg W 3-054.7 1714 1637 40.29% 20.04% 39.68%+0.01 +11.9 31
2016-11-27 Sturm Graz L 1-270.1 1729 1711 52.73% 19.31% 27.97%+0.51 -5.2 20
2016-11-27 @ Rapid Wien W 2-170.1 1711 1729 27.97% 19.31% 52.73%-0.51 +5.2 33
2016-11-29 Ried W 1-052.6 1679 1600 60.10% 18.12% 21.78%+0.84 +2.6 36
2016-11-29 @ SCR Altach L 0-152.6 1600 1679 21.78% 18.12% 60.10%-0.84 -2.6 17
2016-11-30 Admira Wacker L 0-262.5 1716 1602 64.08% 17.22% 18.71%+1.03 -12.3 33
2016-11-30 @ Sturm Graz W 2-062.5 1602 1716 18.71% 17.22% 64.08%-1.03 +12.4 22
2016-11-30 Rapid Wien D 1-172.5 1528 1724 24.84% 18.80% 56.37%-0.66 +0.8 11
2016-11-30 @ Mattersburg D 1-172.5 1724 1528 56.37% 18.80% 24.84%+0.66 -0.8 21
2016-11-30 Salzburg L 1-364.0 1726 1800 39.95% 20.04% 40.01%+0.00 -7.1 31
2016-11-30 @ Austria Wien W 3-164.0 1800 1726 40.01% 20.04% 39.95%+0.00 +7.1 31
2016-11-30 Wolfsberg L 0-453.9 1586 1625 44.94% 19.93% 35.13%+0.19 -17.2 14
2016-11-30 @ SKN St. Polten W 4-053.9 1625 1586 35.13% 19.93% 44.94%-0.19 +17.2 22
2016-12-03 Austria Wien L 0-255.0 1614 1718 35.80% 19.96% 44.24%-0.16 -7.5 22
2016-12-03 @ Admira Wacker W 2-055.0 1718 1614 44.24% 19.96% 35.80%+0.16 +7.5 34
2016-12-03 Mattersburg W 2-155.9 1598 1529 58.95% 18.35% 22.70%+0.78 +2.5 20
2016-12-03 @ Ried L 1-255.9 1529 1598 22.70% 18.35% 58.95%-0.78 -2.5 11
2016-12-03 SCR Altach W 4-153.6 1807 1681 65.29% 16.90% 17.81%+1.09 +4.8 34
2016-12-03 @ Salzburg L 1-453.6 1681 1807 17.81% 16.90% 65.29%-1.09 -4.8 36
2016-12-03 SKN St. Polten W 1-050.3 1723 1568 68.21% 16.06% 15.72%+1.25 +1.9 24
2016-12-03 @ Rapid Wien L 0-150.3 1568 1723 15.72% 16.06% 68.21%-1.25 -1.8 14
2016-12-04 Sturm Graz L 0-455.0 1642 1704 41.83% 20.02% 38.15%+0.07 -16.2 22
2016-12-04 @ Wolfsberg W 4-055.0 1704 1642 38.15% 20.02% 41.83%-0.07 +16.2 36
2016-12-10 Admira Wacker W 2-052.7 1526 1607 39.14% 20.03% 40.82%-0.03 +8.4 14
2016-12-10 @ Mattersburg L 0-252.7 1607 1526 40.82% 20.03% 39.14%+0.03 -8.4 22
2016-12-10 Wolfsberg W 2-160.3 1676 1626 56.75% 18.74% 24.52%+0.68 +2.7 39
2016-12-10 @ SCR Altach L 1-260.3 1626 1676 24.52% 18.74% 56.75%-0.68 -2.7 22
2016-12-11 Austria Wien W 2-168.5 1567 1726 28.86% 19.42% 51.72%-0.46 +5.1 17
2016-12-11 @ SKN St. Polten L 1-268.5 1726 1567 51.72% 19.42% 28.86%+0.46 -5.1 34
2016-12-11 Ried W 3-155.3 1725 1600 65.20% 16.93% 17.88%+1.09 +3.4 27
2016-12-11 @ Rapid Wien L 1-355.3 1600 1725 17.88% 16.93% 65.20%-1.09 -3.4 20
2016-12-11 Salzburg L 0-159.7 1720 1812 37.49% 20.01% 42.50%-0.10 -4.2 36
2016-12-11 @ Sturm Graz W 1-059.7 1812 1720 42.50% 20.01% 37.49%+0.10 +4.2 37
2016-12-17 Admira Wacker D 2-277.1 1572 1598 46.76% 19.84% 33.41%+0.26 -0.2 18
2016-12-17 @ SKN St. Polten D 2-277.1 1598 1572 33.41% 19.84% 46.76%-0.26 +0.2 23
2016-12-17 Mattersburg W 2-045.9 1721 1535 71.17% 15.11% 13.73%+1.42 +3.0 37
2016-12-17 @ Austria Wien L 0-245.9 1535 1721 13.73% 15.11% 71.17%-1.42 -3.0 14
2016-12-17 Sturm Graz L 0-352.4 1597 1716 33.80% 19.86% 46.34%-0.25 -10.4 20
2016-12-17 @ Ried W 3-052.4 1716 1597 46.34% 19.86% 33.80%+0.25 +10.5 39
2016-12-17 Wolfsberg W 3-045.8 1816 1623 71.78% 14.89% 13.33%+1.46 +4.2 40
2016-12-17 @ Salzburg L 0-345.8 1623 1816 13.33% 14.89% 71.78%-1.46 -4.2 22
2016-12-18 Rapid Wien W 3-162.5 1679 1729 43.55% 19.98% 36.47%+0.14 +6.6 42
2016-12-18 @ SCR Altach L 1-362.5 1729 1679 36.47% 19.98% 43.55%-0.14 -6.6 27
2017-02-11 Ried W 1-052.9 1619 1586 54.61% 19.06% 26.33%+0.59 +3.1 25
2017-02-11 @ Wolfsberg L 0-152.9 1586 1619 26.33% 19.06% 54.61%-0.59 -3.1 20
2017-02-11 SCR Altach D 1-172.7 1598 1686 38.14% 20.02% 41.84%-0.07 +0.1 24
2017-02-11 @ Admira Wacker D 1-172.7 1686 1598 41.84% 20.02% 38.14%+0.07 -0.1 43
2017-02-11 SKN St. Polten W 2-045.8 1821 1571 76.52% 13.10% 10.39%+1.77 +2.2 43
2017-02-11 @ Salzburg L 0-245.8 1571 1821 10.39% 13.10% 76.52%-1.77 -2.2 18
2017-02-11 Sturm Graz W 1-062.8 1532 1726 24.97% 18.82% 56.21%-0.66 +5.8 17
2017-02-11 @ Mattersburg L 0-162.8 1726 1532 56.21% 18.82% 24.97%+0.66 -5.8 39
2017-02-12 Rapid Wien D 1-174.2 1724 1722 50.59% 19.54% 29.88%+0.42 -0.5 38
2017-02-12 @ Austria Wien D 1-174.2 1722 1724 29.88% 19.54% 50.59%-0.42 +0.5 28
2017-02-18 Admira Wacker D 0-069.1 1722 1598 65.08% 16.96% 17.96%+1.08 -1.3 29
2017-02-18 @ Rapid Wien D 0-069.1 1598 1722 17.96% 16.96% 65.08%-1.08 +1.3 25
2017-02-18 Austria Wien L 0-458.0 1721 1723 49.97% 19.59% 30.43%+0.39 -18.9 39
2017-02-18 @ Sturm Graz W 4-058.0 1723 1721 30.43% 19.59% 49.97%-0.39 +18.9 41
2017-02-18 SKN St. Polten L 1-271.0 1686 1569 64.29% 17.16% 18.55%+1.04 -6.2 43
2017-02-18 @ SCR Altach W 2-171.0 1569 1686 18.55% 17.16% 64.29%-1.04 +6.2 21
2017-02-18 Wolfsberg W 2-163.0 1537 1622 38.50% 20.03% 41.47%-0.06 +4.2 20
2017-02-18 @ Mattersburg L 1-263.0 1622 1537 41.47% 20.03% 38.50%+0.06 -4.2 25
2017-02-19 Salzburg L 1-651.4 1583 1823 20.69% 17.83% 61.48%-0.90 -8.9 20
2017-02-19 @ Ried W 6-151.4 1823 1583 61.48% 17.83% 20.69%+0.90 +8.9 46
2017-02-25 Mattersburg W 1-047.8 1832 1542 79.58% 11.79% 8.63%+1.99 +1.0 49
2017-02-25 @ Salzburg L 0-147.8 1542 1832 8.63% 11.79% 79.58%-1.99 -1.0 20
2017-02-25 Rapid Wien W 2-166.9 1618 1721 35.96% 19.97% 44.07%-0.16 +4.5 28
2017-02-25 @ Wolfsberg L 1-266.9 1721 1618 44.07% 19.97% 35.96%+0.16 -4.5 29
2017-02-25 Ried W 1-052.5 1600 1574 53.67% 19.19% 27.15%+0.55 +3.2 28
2017-02-25 @ Admira Wacker L 0-152.5 1574 1600 27.15% 19.19% 53.67%-0.55 -3.2 20
2017-02-25 SCR Altach L 1-368.6 1742 1680 58.23% 18.48% 23.29%+0.75 -9.8 41
2017-02-25 @ Austria Wien W 3-168.6 1680 1742 23.29% 18.48% 58.23%-0.75 +9.8 46
2017-02-26 Sturm Graz W 2-167.1 1575 1702 32.90% 19.80% 47.30%-0.28 +4.7 24
2017-02-26 @ SKN St. Polten L 1-267.1 1702 1575 47.30% 19.80% 32.90%+0.28 -4.7 39
2017-03-04 Admira Wacker D 1-171.9 1622 1603 52.90% 19.28% 27.82%+0.51 -0.6 29
2017-03-04 @ Wolfsberg D 1-171.9 1603 1622 27.82% 19.28% 52.90%-0.51 +0.6 29
2017-03-04 Austria Wien L 0-350.6 1571 1732 28.63% 19.39% 51.97%-0.47 -9.0 20
2017-03-04 @ Ried W 3-050.6 1732 1571 51.97% 19.39% 28.63%+0.47 +9.1 44
2017-03-04 SCR Altach W 3-051.6 1697 1689 51.35% 19.46% 29.19%+0.45 +9.2 42
2017-03-04 @ Sturm Graz L 0-351.6 1689 1697 29.19% 19.46% 51.35%-0.45 -9.2 46
2017-03-04 SKN St. Polten W 1-053.6 1541 1580 44.96% 19.93% 35.11%+0.19 +3.9 23
2017-03-04 @ Mattersburg L 0-153.6 1580 1541 35.11% 19.93% 44.96%-0.19 -3.9 24
2017-03-05 Salzburg L 0-158.7 1717 1833 34.25% 19.89% 45.86%-0.23 -3.9 29
2017-03-05 @ Rapid Wien W 1-058.7 1833 1717 45.86% 19.89% 34.25%+0.23 +3.9 52
2017-03-11 Mattersburg W 3-045.1 1680 1545 66.26% 16.63% 17.10%+1.15 +5.5 49
2017-03-11 @ SCR Altach L 0-345.1 1545 1680 17.10% 16.63% 66.26%-1.15 -5.5 23
2017-03-11 Ried W 1-051.9 1576 1562 52.21% 19.37% 28.43%+0.48 +3.3 27
2017-03-11 @ SKN St. Polten L 0-151.9 1562 1576 28.43% 19.37% 52.21%-0.48 -3.3 20
2017-03-11 Salzburg D 1-174.7 1604 1837 21.29% 17.99% 60.72%-0.87 +1.0 30
2017-03-11 @ Admira Wacker D 1-174.7 1837 1604 60.72% 17.99% 21.29%+0.87 -1.0 53
2017-03-11 Wolfsberg W 3-047.5 1741 1622 64.61% 17.08% 18.31%+1.06 +5.9 47
2017-03-11 @ Austria Wien L 0-347.5 1622 1741 18.31% 17.08% 64.61%-1.06 -5.9 29
2017-03-12 Rapid Wien W 2-163.5 1706 1713 49.46% 19.64% 30.90%+0.37 +3.3 45
2017-03-12 @ Sturm Graz L 1-263.5 1713 1706 30.90% 19.64% 49.46%-0.37 -3.3 29
2017-03-18 Mattersburg D 1-173.4 1710 1539 69.69% 15.60% 14.71%+1.34 -1.4 30
2017-03-18 @ Rapid Wien D 1-173.4 1539 1710 14.71% 15.60% 69.69%-1.34 +1.4 24
2017-03-18 SCR Altach W 2-057.2 1559 1686 32.82% 19.80% 47.38%-0.29 +9.5 23
2017-03-18 @ Ried L 0-257.2 1686 1559 47.38% 19.80% 32.82%+0.29 -9.5 49
2017-03-18 SKN St. Polten W 1-052.6 1616 1579 55.04% 19.00% 25.96%+0.61 +3.0 32
2017-03-18 @ Wolfsberg L 0-152.6 1579 1616 25.96% 19.00% 55.04%-0.61 -3.0 27
2017-03-18 Sturm Graz W 1-060.4 1604 1710 35.70% 19.96% 44.34%-0.17 +4.8 33
2017-03-18 @ Admira Wacker L 0-160.4 1710 1604 44.34% 19.96% 35.70%+0.17 -4.8 45
2017-03-19 Austria Wien W 5-049.8 1836 1747 61.19% 17.89% 20.92%+0.89 +10.9 56
2017-03-19 @ Salzburg L 0-549.8 1747 1836 20.92% 17.89% 61.19%-0.89 -10.9 47
2017-04-01 Admira Wacker L 0-263.1 1736 1609 65.42% 16.87% 17.72%+1.10 -12.6 47
2017-04-01 @ Austria Wien W 2-063.1 1609 1736 17.72% 16.87% 65.42%-1.10 +12.6 36
2017-04-01 Rapid Wien D 1-172.7 1576 1708 32.22% 19.75% 48.02%-0.31 +0.4 28
2017-04-01 @ SKN St. Polten D 1-172.7 1708 1576 48.02% 19.75% 32.22%+0.31 -0.4 31
2017-04-01 Ried W 2-159.0 1541 1568 46.59% 19.85% 33.56%+0.26 +3.6 27
2017-04-01 @ Mattersburg L 1-259.0 1568 1541 33.56% 19.85% 46.59%-0.26 -3.6 23
2017-04-01 Wolfsberg W 4-048.0 1705 1619 60.92% 17.95% 21.13%+0.87 +8.9 48
2017-04-01 @ Sturm Graz L 0-448.0 1619 1705 21.13% 17.95% 60.92%-0.87 -8.9 32
2017-04-02 Salzburg L 0-552.0 1676 1846 27.62% 19.26% 53.12%-0.52 -14.1 49
2017-04-02 @ SCR Altach W 5-052.0 1846 1676 53.12% 19.26% 27.62%+0.52 +14.1 59
2017-04-08 Mattersburg L 0-258.8 1622 1544 59.99% 18.14% 21.87%+0.83 -11.7 36
2017-04-08 @ Admira Wacker W 2-058.8 1544 1622 21.87% 18.14% 59.99%-0.83 +11.7 30
2017-04-08 Rapid Wien W 3-056.5 1565 1708 30.80% 19.63% 49.57%-0.38 +14.3 26
2017-04-08 @ Ried L 0-356.5 1708 1565 49.57% 19.63% 30.80%+0.38 -14.3 31
2017-04-08 SCR Altach D 0-067.5 1610 1662 43.19% 19.99% 36.81%+0.12 -0.2 33
2017-04-08 @ Wolfsberg D 0-067.5 1662 1610 36.81% 19.99% 43.19%-0.12 +0.2 50
2017-04-08 SKN St. Polten L 1-272.4 1724 1577 67.43% 16.30% 16.27%+1.21 -6.5 47
2017-04-08 @ Austria Wien W 2-172.4 1577 1724 16.27% 16.30% 67.43%-1.21 +6.5 31
2017-04-09 Sturm Graz W 1-052.3 1861 1714 67.41% 16.30% 16.29%+1.21 +1.9 62
2017-04-09 @ Salzburg L 0-152.3 1714 1861 16.29% 16.30% 67.41%-1.21 -1.9 48
2017-04-15 Ried W 1-051.0 1712 1579 66.00% 16.71% 17.30%+1.13 +2.0 51
2017-04-15 @ Sturm Graz L 0-151.0 1579 1712 17.30% 16.71% 66.00%-1.13 -2.0 26
2017-04-15 Salzburg L 0-250.4 1610 1862 19.60% 17.50% 62.90%-0.97 -4.4 33
2017-04-15 @ Wolfsberg W 2-050.4 1862 1610 62.90% 17.50% 19.60%+0.97 +4.4 65
2017-04-15 SCR Altach W 3-050.5 1693 1662 54.38% 19.09% 26.53%+0.58 +8.5 34
2017-04-15 @ Rapid Wien L 0-350.5 1662 1693 26.53% 19.09% 54.38%-0.58 -8.5 50
2017-04-15 SKN St. Polten W 2-049.9 1610 1583 53.83% 19.17% 27.00%+0.55 +5.9 39
2017-04-15 @ Admira Wacker L 0-249.9 1583 1610 27.00% 19.17% 53.83%-0.55 -5.9 31
2017-04-16 Austria Wien L 0-350.2 1556 1717 28.59% 19.39% 52.02%-0.48 -9.0 30
2017-04-16 @ Mattersburg W 3-050.2 1717 1556 52.02% 19.39% 28.59%+0.48 +9.0 50
2017-04-22 Admira Wacker D 0-067.8 1654 1616 55.19% 18.98% 25.83%+0.61 -0.8 51
2017-04-22 @ SCR Altach D 0-067.8 1616 1654 25.83% 18.98% 55.19%-0.61 +0.8 40
2017-04-22 Mattersburg L 0-262.9 1714 1547 69.39% 15.70% 14.92%+1.32 -13.2 51
2017-04-22 @ Sturm Graz W 2-062.9 1547 1714 14.92% 15.70% 69.39%-1.32 +13.2 33
2017-04-22 Salzburg L 1-258.4 1577 1867 16.73% 16.49% 66.78%-1.17 -1.8 31
2017-04-22 @ SKN St. Polten W 2-158.4 1867 1577 66.78% 16.49% 16.73%+1.17 +1.9 68
2017-04-22 Wolfsberg D 1-170.8 1577 1606 46.46% 19.86% 33.69%+0.25 -0.3 27
2017-04-22 @ Ried D 1-170.8 1606 1577 33.69% 19.86% 46.46%-0.25 +0.3 34
2017-04-23 Austria Wien L 0-259.1 1702 1727 47.02% 19.82% 33.16%+0.27 -9.4 34
2017-04-23 @ Rapid Wien W 2-059.1 1727 1702 33.16% 19.82% 47.02%-0.27 +9.4 53
2017-04-29 Mattersburg D 2-277.3 1606 1560 56.21% 18.82% 24.97%+0.66 -0.6 35
2017-04-29 @ Wolfsberg D 2-277.3 1560 1606 24.97% 18.82% 56.21%-0.66 +0.6 34
2017-04-29 Ried D 1-176.6 1869 1577 79.72% 11.73% 8.55%+2.00 -1.8 69
2017-04-29 @ Salzburg D 1-176.6 1577 1869 8.55% 11.73% 79.72%-2.00 +1.8 28
2017-04-29 SCR Altach D 3-382.3 1576 1653 39.55% 20.04% 40.42%-0.02 +0.0 32
2017-04-29 @ SKN St. Polten D 3-382.3 1653 1576 40.42% 20.04% 39.55%+0.02 -0.0 52
2017-04-29 Sturm Graz W 4-156.5 1736 1701 54.89% 19.02% 26.09%+0.60 +7.0 56
2017-04-29 @ Austria Wien L 1-456.5 1701 1736 26.09% 19.02% 54.89%-0.60 -7.0 51
2017-04-30 Rapid Wien W 3-271.0 1617 1692 39.81% 20.04% 40.15%-0.01 +3.9 43
2017-04-30 @ Admira Wacker L 2-371.0 1692 1617 40.15% 20.04% 39.81%+0.01 -3.9 34
2017-05-06 Admira Wacker W 1-055.8 1578 1621 44.54% 19.95% 35.51%+0.18 +4.0 31
2017-05-06 @ Ried L 0-155.8 1621 1578 35.51% 19.95% 44.54%-0.18 -4.0 43
2017-05-06 Salzburg W 2-173.7 1560 1867 15.55% 15.99% 68.46%-1.27 +6.5 37
2017-05-06 @ Mattersburg L 1-273.7 1867 1560 68.46% 15.99% 15.55%+1.27 -6.5 69
2017-05-06 SKN St. Polten W 3-263.1 1694 1576 64.45% 17.12% 18.43%+1.05 +2.0 54
2017-05-06 @ Sturm Graz L 2-363.1 1576 1694 18.43% 17.12% 64.45%-1.05 -1.9 32
2017-05-06 Wolfsberg W 4-047.7 1689 1605 60.62% 18.01% 21.36%+0.86 +9.0 37
2017-05-06 @ Rapid Wien L 0-447.7 1605 1689 21.36% 18.01% 60.62%-0.86 -9.0 35
2017-05-07 Austria Wien D 1-173.8 1653 1743 37.78% 20.02% 42.20%-0.08 +0.1 53
2017-05-07 @ SCR Altach D 1-173.8 1743 1653 42.20% 20.02% 37.78%+0.08 -0.1 57
2017-05-13 Mattersburg W 1-052.3 1574 1567 51.20% 19.48% 29.32%+0.44 +3.4 35
2017-05-13 @ SKN St. Polten L 0-152.3 1567 1574 29.32% 19.48% 51.20%-0.44 -3.4 37
2017-05-13 Rapid Wien W 1-051.8 1860 1698 68.97% 15.83% 15.20%+1.30 +1.8 72
2017-05-13 @ Salzburg L 0-151.8 1698 1860 15.20% 15.83% 68.97%-1.30 -1.8 37
2017-05-13 Ried W 3-045.9 1743 1582 68.75% 15.90% 15.35%+1.28 +4.9 60
2017-05-13 @ Austria Wien L 0-345.9 1582 1743 15.35% 15.90% 68.75%-1.28 -4.9 31
2017-05-13 Wolfsberg W 3-265.5 1617 1596 53.02% 19.27% 27.71%+0.52 +2.9 46
2017-05-13 @ Admira Wacker L 2-365.5 1596 1617 27.71% 19.27% 53.02%-0.52 -2.9 35
2017-05-14 Sturm Graz L 1-267.1 1653 1696 44.53% 19.95% 35.52%+0.17 -4.5 53
2017-05-14 @ SCR Altach W 2-167.1 1696 1653 35.52% 19.95% 44.53%-0.17 +4.5 57
2017-05-20 Admira Wacker W 2-046.5 1862 1620 75.99% 13.31% 10.70%+1.73 +2.3 75
2017-05-20 @ Salzburg L 0-246.5 1620 1862 10.70% 13.31% 75.99%-1.73 -2.3 46
2017-05-20 Austria Wien W 2-168.9 1593 1748 29.45% 19.49% 51.06%-0.44 +5.1 38
2017-05-20 @ Wolfsberg L 1-268.9 1748 1593 51.06% 19.49% 29.45%+0.44 -5.1 60
2017-05-20 SCR Altach W 1-057.9 1564 1649 38.49% 20.03% 41.48%-0.06 +4.5 40
2017-05-20 @ Mattersburg L 0-157.9 1649 1564 41.48% 20.03% 38.49%+0.06 -4.5 53
2017-05-20 SKN St. Polten D 1-170.1 1577 1577 50.40% 19.55% 30.04%+0.41 -0.5 32
2017-05-20 @ Ried D 1-170.1 1577 1577 30.04% 19.55% 50.40%-0.41 +0.5 36
2017-05-21 Sturm Graz W 1-056.9 1696 1700 49.77% 19.61% 30.62%+0.38 +3.5 40
2017-05-21 @ Rapid Wien L 0-156.9 1700 1696 30.62% 19.61% 49.77%-0.38 -3.5 57
2017-05-25 Admira Wacker W 2-159.4 1697 1617 60.16% 18.11% 21.73%+0.84 +2.4 60
2017-05-25 @ Sturm Graz L 1-259.4 1617 1697 21.73% 18.11% 60.16%-0.84 -2.4 46
2017-05-25 Rapid Wien L 1-359.7 1568 1699 32.30% 19.76% 47.94%-0.31 -6.0 40
2017-05-25 @ Mattersburg W 3-159.7 1699 1568 47.94% 19.76% 32.30%+0.31 +6.0 43
2017-05-25 Ried L 0-259.7 1644 1577 58.75% 18.38% 22.86%+0.77 -11.4 53
2017-05-25 @ SCR Altach W 2-059.7 1577 1644 22.86% 18.38% 58.75%-0.77 +11.4 35
2017-05-25 Salzburg L 2-370.6 1743 1864 33.50% 19.84% 46.66%-0.26 -3.4 60
2017-05-25 @ Austria Wien W 3-270.6 1864 1743 46.66% 19.84% 33.50%+0.26 +3.4 78
2017-05-25 Wolfsberg D 1-170.6 1577 1598 47.50% 19.79% 32.71%+0.29 -0.3 37
2017-05-25 @ SKN St. Polten D 1-170.6 1598 1577 32.71% 19.79% 47.50%-0.29 +0.3 39
2017-05-28 Austria Wien L 1-655.4 1615 1739 33.16% 19.82% 47.02%-0.27 -13.7 46
2017-05-28 @ Admira Wacker W 6-155.4 1739 1615 47.02% 19.82% 33.16%+0.27 +13.7 63
2017-05-28 Mattersburg L 2-371.8 1588 1562 53.75% 19.18% 27.08%+0.55 -5.0 35
2017-05-28 @ Ried W 3-271.8 1562 1588 27.08% 19.18% 53.75%-0.55 +5.0 43
2017-05-28 SCR Altach W 1-049.7 1868 1633 75.40% 13.54% 11.06%+1.69 +1.3 81
2017-05-28 @ Salzburg L 0-149.7 1633 1868 11.06% 13.54% 75.40%-1.69 -1.3 53
2017-05-28 SKN St. Polten W 2-157.4 1705 1577 65.51% 16.84% 17.65%+1.11 +2.0 46
2017-05-28 @ Rapid Wien L 1-257.4 1577 1705 17.65% 16.84% 65.51%-1.11 -2.0 37
2017-05-28 Sturm Graz W 1-060.0 1599 1699 36.38% 19.98% 43.64%-0.14 +4.7 42
2017-05-28 @ Wolfsberg L 0-160.0 1699 1599 43.64% 19.98% 36.38%+0.14 -4.7 60

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 2016-11-27 12.19% Admira Wacker 1594 1 @ Salzburg 1808 0
2 2017-04-22 14.92% Mattersburg 1547 2 @ Sturm Graz 1714 0
3 2017-05-06 15.55% @ Mattersburg 1560 2 Salzburg 1867 1
4 2017-04-08 16.27% SKN St. Polten 1577 2 @ Austria Wien 1724 1
5 2016-11-05 16.58% SKN St. Polten 1574 2 @ Sturm Graz 1717 1
6 2016-11-06 16.90% @ Mattersburg 1524 2 Salzburg 1812 1
7 2017-04-01 17.72% Admira Wacker 1609 2 @ Austria Wien 1736 0
8 2017-02-18 18.55% SKN St. Polten 1569 2 @ SCR Altach 1686 1
9 2016-11-30 18.71% Admira Wacker 1602 2 @ Sturm Graz 1716 0
10 2016-09-24 18.75% Admira Wacker 1588 2 @ Austria Wien 1702 1
11 2016-11-06 20.09% Wolfsberg 1640 1 @ Rapid Wien 1738 0
12 2016-10-02 20.56% Sturm Graz 1716 1 @ Salzburg 1809 0
13 2017-04-08 21.87% Mattersburg 1544 2 @ Admira Wacker 1622 0
14 2017-05-25 22.86% Ried 1577 2 @ SCR Altach 1644 0
15 2017-02-25 23.29% SCR Altach 1680 3 @ Austria Wien 1742 1
16 2017-02-11 24.97% @ Mattersburg 1532 1 Sturm Graz 1726 0
17 2016-10-23 25.40% Austria Wien 1704 2 @ Rapid Wien 1746 0
18 2017-05-28 27.08% Mattersburg 1562 3 @ Ried 1588 2
19 2016-11-26 27.21% SKN St. Polten 1580 2 @ Ried 1605 1
20 2016-11-27 27.97% Sturm Graz 1711 2 @ Rapid Wien 1729 1
21 2016-12-11 28.86% @ SKN St. Polten 1567 2 Austria Wien 1726 1
22 2017-05-20 29.45% @ Wolfsberg 1593 2 Austria Wien 1748 1
23 2016-10-02 30.38% @ Ried 1608 4 Rapid Wien 1755 2
24 2017-02-18 30.43% Austria Wien 1723 4 @ Sturm Graz 1721 0
25 2017-04-08 30.80% @ Ried 1565 3 Rapid Wien 1708 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 2017-02-18 18.86 Austria Wien 4 1723 30.43% @ Sturm Graz 0 1721 49.97% 19.59%
2 2016-11-30 17.23 Wolfsberg 4 1625 35.13% @ SKN St. Polten 0 1586 44.94% 19.93%
3 2016-12-04 16.25 Sturm Graz 4 1704 38.15% @ Wolfsberg 0 1642 41.83% 20.02%
4 2016-08-27 14.77 @ Wolfsberg 5 1633 51.48% Admira Wacker 0 1625 29.08% 19.45%
5 2017-04-08 14.33 @ Ried 3 1565 30.80% Rapid Wien 0 1708 49.57% 19.63%
6 2017-04-02 14.11 Salzburg 5 1846 53.12% @ SCR Altach 0 1676 27.62% 19.26%
7 2017-05-28 13.71 Austria Wien 6 1739 47.02% @ Admira Wacker 1 1615 33.16% 19.82%
8 2017-04-22 13.22 Mattersburg 2 1547 14.92% @ Sturm Graz 0 1714 69.39% 15.70%
9 2017-04-01 12.58 Admira Wacker 2 1609 17.72% @ Austria Wien 0 1736 65.42% 16.87%
10 2016-11-06 12.45 @ SCR Altach 5 1663 42.28% Austria Wien 1 1722 37.71% 20.01%
11 2016-11-30 12.36 Admira Wacker 2 1602 18.71% @ Sturm Graz 0 1716 64.08% 17.22%
12 2016-11-27 11.92 Austria Wien 3 1714 40.29% @ Wolfsberg 0 1637 39.68% 20.04%
13 2016-08-07 11.74 Rapid Wien 4 1732 32.33% @ Austria Wien 1 1714 47.91% 19.76%
14 2017-04-08 11.66 Mattersburg 2 1544 21.87% @ Admira Wacker 0 1622 59.99% 18.14%
15 2017-05-25 11.44 Ried 2 1577 22.86% @ SCR Altach 0 1644 58.75% 18.38%
16 2016-09-17 11.15 Sturm Graz 3 1698 43.49% @ Admira Wacker 0 1599 36.52% 19.98%
17 2016-09-11 10.92 Salzburg 4 1793 54.75% @ Admira Wacker 0 1610 26.21% 19.04%
18 2016-10-23 10.92 Austria Wien 2 1704 25.40% @ Rapid Wien 0 1746 55.69% 18.90%
19 2017-03-19 10.87 @ Salzburg 5 1836 61.19% Austria Wien 0 1747 20.92% 17.89%
20 2016-12-17 10.45 Sturm Graz 3 1716 46.34% @ Ried 0 1597 33.80% 19.86%
21 2016-07-23 9.95 @ Rapid Wien 5 1727 63.52% Ried 0 1617 19.12% 17.35%
22 2017-02-25 9.84 SCR Altach 3 1680 23.29% @ Austria Wien 1 1742 58.23% 18.48%
23 2016-11-19 9.76 @ Admira Wacker 4 1585 41.74% Wolfsberg 1 1647 38.24% 20.02%
24 2017-03-18 9.50 @ Ried 2 1559 32.82% SCR Altach 0 1686 47.38% 19.80%
25 2017-04-23 9.43 Austria Wien 2 1727 33.16% @ Rapid Wien 0 1702 47.02% 19.82%

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 2017-04-29 82.3 @ SKN St. Polten 3 1576 39.55% SCR Altach 3 1653 40.42% 20.04%
2 2016-10-15 80.9 @ Wolfsberg 2 1629 27.21% Salzburg 2 1802 53.59% 19.20%
3 2016-10-22 80.4 @ Sturm Graz 2 1725 72.01% Mattersburg 2 1530 13.18% 14.81%
4 2017-04-29 77.3 @ Wolfsberg 2 1606 56.21% Mattersburg 2 1560 24.97% 18.82%
5 2016-12-17 77.1 @ SKN St. Polten 2 1572 46.76% Admira Wacker 2 1598 33.41% 19.84%
6 2017-04-29 76.6 @ Salzburg 1 1869 79.72% Ried 1 1577 8.55% 11.73%
7 2016-11-19 75.7 @ SKN St. Polten 2 1581 56.73% Mattersburg 2 1531 24.53% 18.74%
8 2016-07-30 75.1 @ Salzburg 1 1783 67.40% Wolfsberg 1 1636 16.30% 16.31%
9 2017-03-11 74.7 @ Admira Wacker 1 1604 21.29% Salzburg 1 1837 60.72% 17.99%
10 2016-10-15 74.5 @ Rapid Wien 1 1747 61.85% SCR Altach 1 1653 20.40% 17.75%
11 2017-02-12 74.2 @ Austria Wien 1 1724 50.59% Rapid Wien 1 1722 29.88% 19.54%
12 2016-09-10 74.1 @ Sturm Graz 1 1698 43.06% Rapid Wien 1 1751 36.94% 20.00%
13 2016-08-21 73.8 @ Wolfsberg 1 1633 33.91% Rapid Wien 1 1752 46.22% 19.87%
14 2016-11-19 73.8 @ SCR Altach 1 1676 45.56% Sturm Graz 1 1711 34.54% 19.90%
15 2017-05-07 73.8 @ SCR Altach 1 1653 37.78% Austria Wien 1 1743 42.20% 20.02%
16 2017-05-06 73.7 @ Mattersburg 2 1560 15.55% Salzburg 1 1867 68.46% 15.99%
17 2016-09-24 73.6 @ SKN St. Polten 1 1588 27.96% Rapid Wien 1 1755 52.74% 19.30%
18 2017-03-18 73.4 @ Rapid Wien 1 1710 69.69% Mattersburg 1 1539 14.71% 15.60%
19 2016-08-28 72.9 @ Ried 1 1599 36.16% Austria Wien 1 1701 43.86% 19.97%
20 2017-02-11 72.7 @ Admira Wacker 1 1598 38.14% SCR Altach 1 1686 41.84% 20.02%
21 2017-04-01 72.7 @ SKN St. Polten 1 1576 32.22% Rapid Wien 1 1708 48.02% 19.75%
22 2016-11-06 72.6 @ Mattersburg 2 1524 16.90% Salzburg 1 1812 66.54% 16.55%
23 2016-11-30 72.5 @ Mattersburg 1 1528 24.84% Rapid Wien 1 1724 56.37% 18.80%
24 2017-04-08 72.4 SKN St. Polten 2 1577 16.27% @ Austria Wien 1 1724 67.43% 16.30%
25 2016-11-05 72.2 SKN St. Polten 2 1574 16.58% @ Sturm Graz 1 1717 67.00% 16.42%
# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2016-09-18 44.1 @ Rapid Wien 3 1751 73.16% Mattersburg 0 1543 12.44% 14.40%
2 2016-10-29 44.7 @ Wolfsberg 3 1634 62.88% Mattersburg 0 1531 19.61% 17.51%
3 2017-03-11 45.1 @ SCR Altach 3 1680 66.26% Mattersburg 0 1545 17.10% 16.63%
4 2016-12-17 45.8 @ Salzburg 3 1816 71.78% Wolfsberg 0 1623 13.33% 14.89%
5 2017-02-11 45.8 @ Salzburg 2 1821 76.52% SKN St. Polten 0 1571 10.39% 13.10%
6 2016-12-17 45.9 @ Austria Wien 2 1721 71.17% Mattersburg 0 1535 13.73% 15.11%
7 2017-05-13 45.9 @ Austria Wien 3 1743 68.75% Ried 0 1582 15.35% 15.90%
8 2017-05-20 46.5 @ Salzburg 2 1862 75.99% Admira Wacker 0 1620 10.70% 13.31%
9 2016-08-13 47.5 @ Rapid Wien 4 1744 64.05% Admira Wacker 0 1629 18.72% 17.22%
10 2017-03-11 47.5 @ Austria Wien 3 1741 64.61% Wolfsberg 0 1622 18.31% 17.08%
11 2016-08-06 47.7 @ Salzburg 2 1782 70.17% SKN St. Polten 0 1606 14.39% 15.44%
12 2017-05-06 47.7 @ Rapid Wien 4 1689 60.62% Wolfsberg 0 1605 21.36% 18.01%
13 2017-02-25 47.8 @ Salzburg 1 1832 79.58% Mattersburg 0 1542 8.63% 11.79%
14 2016-07-23 47.9 @ Rapid Wien 5 1727 63.52% Ried 0 1617 19.12% 17.35%
15 2017-04-01 48.0 @ Sturm Graz 4 1705 60.92% Wolfsberg 0 1619 21.13% 17.95%
16 2016-09-24 49.1 @ Sturm Graz 3 1709 58.91% Wolfsberg 0 1641 22.73% 18.35%
17 2016-11-19 49.4 @ Austria Wien 2 1709 62.43% Ried 0 1610 19.95% 17.61%
18 2017-05-28 49.7 @ Salzburg 1 1868 75.40% SCR Altach 0 1633 11.06% 13.54%
19 2017-03-19 49.8 @ Salzburg 5 1836 61.19% Austria Wien 0 1747 20.92% 17.89%
20 2016-10-22 49.9 @ SCR Altach 2 1654 57.60% Admira Wacker 0 1596 23.80% 18.59%
21 2017-04-15 49.9 @ Admira Wacker 2 1610 53.83% SKN St. Polten 0 1583 27.00% 19.17%
22 2016-10-01 50.2 @ Admira Wacker 1 1594 57.36% Mattersburg 0 1539 24.01% 18.63%
23 2016-10-29 50.2 @ Salzburg 1 1810 72.56% Ried 0 1608 12.82% 14.62%
24 2017-04-16 50.2 Austria Wien 3 1717 52.02% @ Mattersburg 0 1556 28.59% 19.39%
25 2016-12-03 50.3 @ Rapid Wien 1 1723 68.21% SKN St. Polten 0 1568 15.72% 16.06%