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2016-17 First League Season

180 games

Final

Promoted

—

No promotions.

Relegated

No relegation

Biggest Overachiever

LASK Linz

10.85 points above expected

77 points · 66.15 expected points

Biggest Disappointment

Horn

10.50 points below expected

33 points · 43.50 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 LASK Linz 36 23 8 5 77 77 42 +35 66.15 +10.85
2 Liefering 36 17 9 10 60 58 49 +9 58.76 +1.24
3 Austria Lustenau 36 15 12 9 57 58 49 +9 59.36 -2.36
4 Wacker Innsbruck 36 15 9 12 54 58 53 +5 52.44 +1.56
5 WSG Wattens 36 13 12 11 51 56 54 +2 50.84 +0.16
6 Kapfenberger 36 12 9 15 45 47 57 -10 48.66 -3.66
7 Blau-Weiss Linz 36 8 15 13 39 41 45 -4 43.10 -4.10
8 Wiener Neustadter 36 11 6 19 39 40 62 -22 45.09 -6.09
9 Floridsdorfer 36 10 8 18 38 39 48 -9 34.07 +3.93
10 Horn 36 9 6 21 33 42 57 -15 43.50 -10.50

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 LASK Linz 77 66.15 +10.85
2 Floridsdorfer 38 34.07 +3.93
3 Wacker Innsbruck 54 52.44 +1.56
4 Liefering 60 58.76 +1.24
5 WSG Wattens 51 50.84 +0.16

Biggest Disappointments

# Team Actual Sim vsSim
1 Horn 33 43.50 -10.50
2 Wiener Neustadter 39 45.09 -6.09
3 Blau-Weiss Linz 39 43.10 -4.10
4 Kapfenberger 45 48.66 -3.66
5 Austria Lustenau 57 59.36 -2.36

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 LASK Linz 9 Oct 31 – Mar 14 1 in 278
2 WSG Wattens 4 May 2 – May 19 1 in 52
3 Floridsdorfer 3 Aug 16 – Aug 26 1 in 34
4 Kapfenberger 3 Aug 5 – Aug 16 1 in 18
5 Liefering 4 Jul 22 – Aug 12 1 in 14

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Wiener Neustadter 6 Dec 2 – Mar 17 1 in 185
2 Austria Lustenau 3 Nov 25 – Feb 24 1 in 71
3 Horn 5 May 1 – May 26 1 in 64
4 Liefering 3 Oct 17 – Nov 1 1 in 37
5 Kapfenberger 3 Nov 25 – Feb 24 1 in 34

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Liefering 13 Jul 22 – Oct 14 1 in 212
2 Blau-Weiss Linz 7 Oct 14 – Nov 25 1 in 109
3 LASK Linz 16 Oct 31 – May 2 1 in 97
4 Floridsdorfer 5 May 1 – May 26 1 in 82
5 Wacker Innsbruck 8 Oct 14 – Dec 2 1 in 77

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Liefering 6 Oct 17 – Nov 25 1 in 115
2 WSG Wattens 8 Aug 12 – Sep 23 1 in 99
3 Austria Lustenau 6 Nov 25 – Mar 13 1 in 90
4 Kapfenberger 8 Apr 8 – May 12 1 in 81
5 Blau-Weiss Linz 10 Jul 22 – Sep 16 1 in 55

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
LASK Linz 1607 77 -7 8 9.9 -1.9
Liefering 1495 60 +2 7 7.8 -0.8
Austria Lustenau 1507 57 -16 7 8.2 -1.2
Wacker Innsbruck 1495 54 +10 9 7.6 +1.4
WSG Wattens 1491 51 +26 13 7.0 +6.0
Kapfenberger 1427 45 -24 4 6.3 -2.3
Blau-Weiss Linz 1431 39 +8 5 6.3 -1.3
Wiener Neustadter 1385 39 -18 3 5.6 -2.6
Floridsdorfer 1361 38 +33 11 4.8 +6.2
Horn 1386 33 -31 0 6.2 -6.2

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 AL BL FLO HOR KAP LL LIE WW WI WN
Austria Lustenau —
0-3-1
7.26
1-2-1
8.17
3-0-1
7.20
2-1-1
6.29
0-1-3
4.98
2-1-1
5.52
2-2-0
6.37
2-1-1
6.23
3-1-0
7.17
Blau-Weiss Linz
1-3-0
4.00
 —
1-2-1
6.73
2-0-2
5.58
0-1-3
4.73
1-1-2
3.29
1-2-1
4.11
0-3-1
4.82
1-2-1
4.70
1-1-2
5.34
Floridsdorfer
1-2-1
3.14
1-2-1
4.51
 —
2-0-2
4.49
2-0-2
3.84
0-1-3
2.63
0-0-4
3.24
0-2-2
3.86
1-0-3
3.79
3-1-0
4.35
Horn
1-0-3
4.05
2-0-2
5.64
2-0-2
6.74
 —
1-1-2
4.67
0-1-3
3.21
0-1-3
4.21
1-2-1
4.71
1-1-2
4.71
1-0-3
5.41
Kapfenberger
1-1-2
4.94
3-1-0
6.50
2-0-2
7.43
2-1-1
6.56
 —
0-2-2
4.14
1-1-2
4.99
2-1-1
5.73
0-2-2
5.72
1-0-3
6.57
LASK Linz
3-1-0
6.25
2-1-1
8.01
3-1-0
8.74
3-1-0
8.10
2-2-0
7.12
 —
2-1-1
6.36
2-0-2
7.27
3-0-1
7.09
3-1-0
7.72
Liefering
1-1-2
5.69
1-2-1
7.14
4-0-0
8.07
3-1-0
7.04
2-1-1
6.24
1-1-2
4.88
 —
0-2-2
6.45
1-1-2
6.35
4-0-0
6.83
WSG Wattens
0-2-2
4.85
1-3-0
6.41
2-2-0
7.41
1-2-1
6.52
1-1-2
5.49
2-0-2
3.99
2-2-0
4.78
 —
3-0-1
5.52
1-0-3
6.33
Wacker Innsbruck
1-1-2
4.99
1-2-1
6.53
3-0-1
7.48
2-1-1
6.53
2-2-0
5.50
1-0-3
4.16
2-1-1
4.88
1-0-3
5.70
 —
2-2-0
6.59
Wiener Neustadter
0-1-3
4.08
2-1-1
5.87
0-1-3
6.89
3-0-1
5.81
3-0-1
4.65
0-1-3
3.57
0-0-4
4.42
3-0-1
4.89
0-2-2
4.64
 —

Points vs. Goals Scored, Allowed, and Differential

Points plotted against goals scored, allowed, and differential. Use the buttons to switch views; hover a team for exact values. The table gives each fit's R² and slope (the change in points per 10 goals).

Fit Metrics

R² Slope
Scored 0.95 +10.8
Allowed 0.32 -12.3
Differential 0.90 +7.8

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
07.22%6.67%5.28%4.17%0.83%0.28%24.44%
16.67%10.56%8.61%4.44%1.94%0.28%32.50%
25.28%8.61%6.11%3.06%0.83%—23.89%
34.17%4.44%3.06%2.22%0.28%0.28%14.44%
40.83%1.94%0.83%0.28%——3.89%
5+0.28%0.28%—0.28%——0.83%
Total24.44%32.50%23.89%14.44%3.89%0.83%100%

Summary Statistics

Scored Allowed Difference
Mean 1.43 1.43 +0.00
SD 1.17 1.17 1.69
CV 0.81 0.81 —
Max 5 5 +5
Min 0 0 -5

Games Played: 180

↓ Scored | Allowed →012345+Total
011.11%5.56%2.78%———19.44%
18.33%13.89%—5.56%5.56%—33.33%
25.56%8.33%8.33%2.78%2.78%—27.78%
3—5.56%2.78%———8.33%
42.78%2.78%2.78%———8.33%
5+———2.78%——2.78%
Total27.78%36.11%16.67%11.11%8.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.61 1.36 +0.25
SD 1.29 1.25 1.61
CV 0.80 0.92 —
Max 5 4 +4
Min 0 0 -3

Games Played: 36

↓ Scored | Allowed →012345+Total
022.22%5.56%2.78%2.78%2.78%—36.11%
12.78%11.11%13.89%—2.78%—30.56%
25.56%2.78%5.56%5.56%——19.44%
35.56%2.78%—2.78%——11.11%
4—2.78%————2.78%
5+———————
Total36.11%25.00%22.22%11.11%5.56%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.14 1.25 -0.11
SD 1.13 1.23 1.58
CV 0.99 0.98 —
Max 4 4 +3
Min 0 0 -4

Games Played: 36

↓ Scored | Allowed →012345+Total
011.11%11.11%8.33%2.78%——33.33%
15.56%8.33%16.67%5.56%—2.78%38.89%
22.78%5.56%2.78%2.78%——13.89%
38.33%5.56%————13.89%
4———————
5+———————
Total27.78%30.56%27.78%11.11%—2.78%100%

Summary Statistics

Scored Allowed Difference
Mean 1.08 1.33 -0.25
SD 1.02 1.17 1.66
CV 0.95 0.88 —
Max 3 5 +3
Min 0 0 -4

Games Played: 36

↓ Scored | Allowed →012345+Total
02.78%13.89%5.56%2.78%——25.00%
1—11.11%22.22%5.56%2.78%—41.67%
28.33%11.11%2.78%5.56%——27.78%
3——2.78%———2.78%
4—2.78%————2.78%
5+———————
Total11.11%38.89%33.33%13.89%2.78%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.17 1.58 -0.42
SD 0.94 0.97 1.40
CV 0.81 0.61 —
Max 4 4 +3
Min 0 0 -3

Games Played: 36

↓ Scored | Allowed →012345+Total
02.78%8.33%5.56%5.56%——22.22%
111.11%11.11%5.56%11.11%2.78%—41.67%
22.78%8.33%5.56%2.78%——19.44%
32.78%5.56%2.78%5.56%——16.67%
4———————
5+———————
Total19.44%33.33%19.44%25.00%2.78%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.31 1.58 -0.28
SD 1.01 1.16 1.54
CV 0.77 0.73 —
Max 3 4 +3
Min 0 0 -3

Games Played: 36

↓ Scored | Allowed →012345+Total
0——5.56%———5.56%
18.33%11.11%2.78%———22.22%
28.33%13.89%8.33%2.78%2.78%—36.11%
35.56%11.11%5.56%2.78%——25.00%
45.56%2.78%2.78%———11.11%
5+———————
Total27.78%38.89%25.00%5.56%2.78%—100%

Summary Statistics

Scored Allowed Difference
Mean 2.14 1.17 +0.97
SD 1.07 1.00 1.52
CV 0.50 0.86 —
Max 4 4 +4
Min 0 0 -2

Games Played: 36

↓ Scored | Allowed →012345+Total
05.56%2.78%2.78%11.11%—2.78%25.00%
111.11%16.67%2.78%———30.56%
28.33%5.56%—2.78%——16.67%
35.56%2.78%2.78%2.78%—2.78%16.67%
4—5.56%2.78%———8.33%
5+—2.78%————2.78%
Total30.56%36.11%11.11%16.67%—5.56%100%

Summary Statistics

Scored Allowed Difference
Mean 1.61 1.36 +0.25
SD 1.40 1.38 2.06
CV 0.87 1.01 —
Max 5 5 +4
Min 0 0 -5

Games Played: 36

↓ Scored | Allowed →012345+Total
011.11%2.78%8.33%2.78%5.56%—30.56%
15.56%8.33%5.56%———19.44%
25.56%5.56%8.33%—2.78%—22.22%
35.56%—8.33%5.56%2.78%—22.22%
4—2.78%————2.78%
5+2.78%—————2.78%
Total30.56%19.44%30.56%8.33%11.11%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.56 1.50 +0.06
SD 1.36 1.32 1.91
CV 0.88 0.88 —
Max 5 4 +5
Min 0 0 -4

Games Played: 36

↓ Scored | Allowed →012345+Total
02.78%8.33%2.78%———13.89%
15.56%8.33%11.11%8.33%——33.33%
2—19.44%11.11%2.78%——33.33%
35.56%5.56%2.78%2.78%——16.67%
4———2.78%——2.78%
5+———————
Total13.89%41.67%27.78%16.67%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.61 1.47 +0.14
SD 1.02 0.94 1.31
CV 0.63 0.64 —
Max 4 3 +3
Min 0 0 -2

Games Played: 36

↓ Scored | Allowed →012345+Total
02.78%8.33%8.33%13.89%——33.33%
18.33%5.56%5.56%8.33%5.56%—33.33%
25.56%5.56%8.33%2.78%——22.22%
32.78%5.56%2.78%———11.11%
4———————
5+———————
Total19.44%25.00%25.00%25.00%5.56%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.11 1.72 -0.61
SD 1.01 1.21 1.78
CV 0.91 0.70 —
Max 3 4 +3
Min 0 0 -3

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
LASK Linz 1607 77 66.15 +10.85 91.7% 39 53 61 66 72 79 89
Austria Lustenau 1507 57 59.36 -2.36 39.9% 33 46 54 60 65 72 80
Liefering 1495 60 58.76 +1.24 57.8% 35 46 53 59 64 71 85
Wacker Innsbruck 1495 54 52.44 +1.56 60.8% 27 39 47 52 58 65 74
WSG Wattens 1491 51 50.84 +0.16 53.4% 26 38 45 51 56 64 75
Blau-Weiss Linz 1431 39 43.10 -4.10 32.9% 20 32 38 43 48 56 66
Kapfenberger 1427 45 48.66 -3.66 17.3% 25 36 43 48 54 62 72
Horn 1386 33 43.50 -10.50 10.5% 23 31 38 43 48 57 75
Wiener Neustadter 1385 39 45.09 -6.09 23.9% 23 32 40 45 50 58 67
Floridsdorfer 1361 38 34.07 +3.93 73.6% 13 22 29 34 39 47 60

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
+7.22%
Slight Edge
40.56%26.11%33.33%
Elo Value
Home Edge: 25.14 Elo pts.
244 Elo
0.004 goals per Elo point
0800
Scoring Tilt
Expected
+0.11 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 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
2.7
Top-Heavy
124610
Champion Preseason Odds
55%
LASK Linz, 1st of 10
LongshotFavorite
Title Margin
Expected
0.47/gm
Comfortable
00.190.8/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 6.24 * Some Luck: 6.24 to 9.35 * Lucky: 9.35 to 12.47 * Wild Swing: 12.47 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 1.21 * Close: 1.21 to 1.81 * Off: 1.81 to 2.41 * Way Off: 2.41 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
5.91 points
As Expected
07.8019
Average Finish Error
Expected
0.80
Pinpoint
01.514
Biggest Overachiever
Expected 95.00%
91.70%
LASK Linz
50100
Biggest Underachiever
Expected 5.00%
10.50%
Horn
050
Season Outliers
Expected
0 of 10
Minimal Outliers
01.010

Parity

How these are measured

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

Gini Index
How evenly points were spread across the league. Lower means a tight, balanced table; higher means a few teams ran off with most of the points.
Balanced: under 0.12 * 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
1.48
Moderate Separation
01.003
Interquartile Edge
64%
Slight Edge
50%60%70%80%100%
Best vs. Worst
Baseline
80%
Clear Edge
50%80%100%
Close Games
Expected
63%
Very Frequent
0%63%100%
Blowouts
Expected
15%
Frequent
0%14%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
0.64
Hard to Predict
00.592
Matchup Imbalance
0.30
Lopsided
00.10.180.280.5
Strangeness
Expected
0.59
Very Predictable
01.002
Repeatability
0.93
Near-Lock
00.30.60.851
Upset Rate
Expected
27%
As Expected
0%28%50%
Clear Favorite Upset Rate
Expected
21%
As Expected
0%24%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
0.04
Miscalibrated
0.010.050.10.51
Calibration slope
Ideal
1.27
Underconfident
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.071
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
LASK Linz55.40%21.90%11.60%5.40%3.10%1.40%0.70%0.40%0.10%—
Liefering15.50%22.60%23.10%15.80%10.30%6.30%3.50%1.90%0.90%0.10%
Austria Lustenau17.20%27.90%21.10%12.40%8.40%6.10%3.60%2.60%0.40%0.30%
Wacker Innsbruck6.10%10.00%12.80%17.70%16.40%14.40%10.60%7.00%3.50%1.50%
WSG Wattens2.90%7.50%11.20%17.30%17.40%15.40%10.00%9.00%6.10%3.20%
Kapfenberger2.00%5.00%7.50%13.00%14.00%15.80%16.40%13.00%9.30%4.00%
Blau-Weiss Linz0.20%0.70%4.20%4.30%8.90%13.40%15.60%19.70%21.40%11.60%
Wiener Neustadter0.20%2.40%4.50%7.40%12.00%12.80%17.90%16.70%15.60%10.50%
Floridsdorfer—0.30%0.20%0.80%1.40%2.50%5.60%11.40%21.90%55.90%
Horn0.50%1.70%3.80%5.90%8.10%11.90%16.10%18.30%20.80%12.90%

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 Direct promotion Same level Direct relegation
LASK Linz 63.20% 36.80% —
Austria Lustenau 21.40% 78.30% 0.30%
Wacker Innsbruck 7.50% 91.00% 1.50%
WSG Wattens 3.60% 93.20% 3.20%
Liefering — 99.90% 0.10%
Kapfenberger 2.60% 93.40% 4.00%
Wiener Neustadter 0.60% 88.90% 10.50%
Blau-Weiss Linz 0.30% 88.10% 11.60%
Horn 0.70% 86.40% 12.90%
Floridsdorfer 0.10% 44.00% 55.90%

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
2016-07-22 Floridsdorfer W 2-141.1 1478 1332 67.31% 16.33% 16.36%+0.70 +1.8 3
2016-07-22 @ Wacker Innsbruck L 1-241.1 1332 1478 16.36% 16.33% 67.31%-0.70 -1.8 0
2016-07-22 Horn W 1-041.2 1497 1425 59.29% 18.28% 22.43%+0.40 +2.6 3
2016-07-22 @ Liefering L 0-141.2 1425 1497 22.43% 18.28% 59.29%-0.40 -2.6 0
2016-07-22 LASK Linz D 1-165.8 1498 1540 44.64% 19.94% 35.42%-0.07 -0.2 1
2016-07-22 @ Austria Lustenau D 1-165.8 1540 1498 35.42% 19.94% 44.64%+0.07 +0.2 1
2016-07-22 Wiener Neustadter W 3-144.7 1476 1449 53.89% 19.16% 26.95%+0.21 +5.1 3
2016-07-22 @ Kapfenberger L 1-344.7 1449 1476 26.95% 19.16% 53.89%-0.21 -5.1 0
2016-07-22 WSG Wattens L 0-340.3 1416 1473 42.43% 20.01% 37.56%-0.13 -12.6 0
2016-07-22 @ Blau-Weiss Linz W 3-040.3 1473 1416 37.56% 20.01% 42.43%+0.13 +12.6 3
2016-07-29 Blau-Weiss Linz W 2-145.4 1540 1403 66.37% 16.60% 17.03%+0.66 +1.9 4
2016-07-29 @ LASK Linz L 1-245.4 1403 1540 17.03% 16.60% 66.37%-0.66 -1.9 0
2016-07-29 Floridsdorfer D 0-055.1 1486 1331 68.25% 16.05% 15.70%+0.74 -1.5 4
2016-07-29 @ WSG Wattens D 0-055.1 1331 1486 15.70% 16.05% 68.25%-0.74 +1.5 1
2016-07-29 Horn W 2-146.6 1498 1423 59.68% 18.21% 22.11%+0.41 +2.5 4
2016-07-29 @ Austria Lustenau L 1-246.6 1423 1498 22.11% 18.21% 59.68%-0.41 -2.5 0
2016-07-29 Liefering L 1-447.6 1444 1500 42.65% 20.01% 37.34%-0.13 -10.7 0
2016-07-29 @ Wiener Neustadter W 4-147.6 1500 1444 37.34% 20.01% 42.65%+0.13 +10.7 6
2016-07-29 Wacker Innsbruck D 1-163.1 1481 1480 50.53% 19.54% 29.92%+0.11 -0.5 4
2016-07-29 @ Kapfenberger D 1-163.1 1480 1481 29.92% 19.54% 50.53%-0.11 +0.5 4
2016-08-05 Austria Lustenau L 1-342.2 1332 1500 27.85% 19.29% 52.86%-0.59 -5.3 1
2016-08-05 @ Floridsdorfer W 3-142.2 1500 1332 52.86% 19.29% 27.85%+0.59 +5.3 7
2016-08-05 Kapfenberger L 1-252.5 1420 1481 41.95% 20.02% 38.03%-0.15 -4.3 0
2016-08-05 @ Horn W 2-152.5 1481 1420 38.03% 20.02% 41.95%+0.15 +4.3 7
2016-08-05 LASK Linz W 4-255.9 1510 1542 46.07% 19.88% 34.06%-0.03 +5.6 9
2016-08-05 @ Liefering L 2-455.9 1542 1510 34.06% 19.88% 46.07%+0.03 -5.6 4
2016-08-05 Wiener Neustadter L 0-146.0 1402 1433 46.03% 19.88% 34.09%-0.03 -4.9 0
2016-08-05 @ Blau-Weiss Linz W 1-046.0 1433 1402 34.09% 19.88% 46.03%+0.03 +4.9 3
2016-08-05 WSG Wattens L 1-256.9 1480 1484 49.81% 19.61% 30.58%+0.09 -5.0 4
2016-08-05 @ Wacker Innsbruck W 2-156.9 1484 1480 30.58% 19.61% 49.81%-0.09 +5.0 7
2016-08-12 Blau-Weiss Linz W 2-145.5 1416 1397 52.87% 19.29% 27.84%+0.18 +3.0 3
2016-08-12 @ Horn L 1-245.5 1397 1416 27.84% 19.29% 52.87%-0.18 -3.0 0
2016-08-12 Floridsdorfer W 2-140.7 1516 1327 71.44% 15.01% 13.55%+0.88 +1.5 12
2016-08-12 @ Liefering L 1-240.7 1327 1516 13.55% 15.01% 71.44%-0.88 -1.5 1
2016-08-12 Kapfenberger L 1-355.0 1506 1485 52.98% 19.27% 27.75%+0.19 -9.0 7
2016-08-12 @ Austria Lustenau W 3-155.0 1485 1506 27.75% 19.27% 52.98%-0.19 +9.0 10
2016-08-12 Wacker Innsbruck W 1-044.8 1536 1476 57.99% 18.52% 23.48%+0.35 +2.8 7
2016-08-12 @ LASK Linz L 0-144.8 1476 1536 23.48% 18.52% 57.99%-0.35 -2.8 4
2016-08-12 Wiener Neustadter L 0-151.8 1489 1438 56.85% 18.72% 24.43%+0.31 -5.9 7
2016-08-12 @ WSG Wattens W 1-051.8 1438 1489 24.43% 18.72% 56.85%-0.31 +5.9 6
2016-08-15 Austria Lustenau D 1-160.5 1394 1496 36.00% 19.97% 44.03%-0.32 +0.2 1
2016-08-15 @ Blau-Weiss Linz D 1-160.5 1496 1394 44.03% 19.97% 36.00%+0.32 -0.2 8
2016-08-16 Horn W 2-148.8 1325 1419 37.26% 20.00% 42.74%-0.28 +4.4 4
2016-08-16 @ Floridsdorfer L 1-248.8 1419 1325 42.74% 20.00% 37.26%+0.28 -4.3 3
2016-08-16 LASK Linz L 1-253.9 1444 1539 37.10% 20.00% 42.90%-0.29 -3.9 6
2016-08-16 @ Wiener Neustadter W 2-153.9 1539 1444 42.90% 20.00% 37.10%+0.29 +3.9 10
2016-08-16 Liefering D 1-164.0 1473 1517 44.22% 19.96% 35.82%-0.08 -0.2 5
2016-08-16 @ Wacker Innsbruck D 1-164.0 1517 1473 35.82% 19.96% 44.22%+0.08 +0.2 13
2016-08-16 WSG Wattens W 3-039.2 1494 1484 51.77% 19.42% 28.82%+0.15 +9.1 13
2016-08-16 @ Kapfenberger L 0-339.2 1484 1494 28.82% 19.42% 51.77%-0.15 -9.1 7
2016-08-19 Austria Lustenau L 0-150.7 1473 1496 47.14% 19.81% 33.04%+0.01 -5.0 5
2016-08-19 @ Wacker Innsbruck W 1-050.7 1496 1473 33.04% 19.81% 47.14%-0.01 +5.0 11
2016-08-19 Blau-Weiss Linz W 2-147.2 1330 1394 41.47% 20.03% 38.50%-0.16 +4.0 7
2016-08-19 @ Floridsdorfer L 1-247.2 1394 1330 38.50% 20.03% 41.47%+0.16 -4.0 1
2016-08-19 Kapfenberger W 2-042.7 1518 1503 52.20% 19.37% 28.43%+0.16 +6.2 16
2016-08-19 @ Liefering L 0-242.7 1503 1518 28.43% 19.37% 52.20%-0.16 -6.2 13
2016-08-19 Wiener Neustadter L 0-146.8 1415 1440 46.89% 19.83% 33.28%+0.00 -5.0 3
2016-08-19 @ Horn W 1-046.8 1440 1415 33.28% 19.83% 46.89%+0.00 +5.0 9
2016-08-19 WSG Wattens W 4-038.6 1543 1474 58.91% 18.35% 22.73%+0.38 +9.6 13
2016-08-19 @ LASK Linz L 0-438.6 1474 1543 22.73% 18.35% 58.91%-0.38 -9.6 7
2016-08-26 Floridsdorfer L 0-343.0 1445 1334 63.75% 17.30% 18.95%+0.56 -17.9 9
2016-08-26 @ Wiener Neustadter W 3-043.0 1334 1445 18.95% 17.30% 63.75%-0.56 +17.9 10
2016-08-26 Horn D 2-266.4 1465 1410 57.33% 18.64% 24.03%+0.33 -0.6 8
2016-08-26 @ WSG Wattens D 2-266.4 1410 1465 24.03% 18.64% 57.33%-0.33 +0.6 4
2016-08-26 LASK Linz L 1-258.1 1497 1552 42.74% 20.00% 37.26%-0.12 -4.4 13
2016-08-26 @ Kapfenberger W 2-158.1 1552 1497 37.26% 20.00% 42.74%+0.12 +4.4 16
2016-08-26 Liefering D 1-165.4 1501 1524 47.29% 19.80% 32.90%+0.01 -0.3 12
2016-08-26 @ Austria Lustenau D 1-165.4 1524 1501 32.90% 19.80% 47.29%-0.01 +0.3 17
2016-08-26 Wacker Innsbruck D 2-265.5 1390 1468 39.50% 20.04% 40.47%-0.22 +0.0 2
2016-08-26 @ Blau-Weiss Linz D 2-265.5 1468 1390 40.47% 20.04% 39.50%+0.22 -0.0 6
2016-09-09 Austria Lustenau L 1-446.3 1427 1501 40.10% 20.04% 39.86%-0.20 -10.1 9
2016-09-09 @ Wiener Neustadter W 4-146.3 1501 1427 39.86% 20.04% 40.10%+0.20 +10.1 15
2016-09-09 Kapfenberger L 0-144.4 1390 1493 35.97% 19.97% 44.07%-0.32 -4.0 2
2016-09-09 @ Blau-Weiss Linz W 1-044.4 1493 1390 44.07% 19.97% 35.97%+0.32 +4.0 16
2016-09-09 LASK Linz L 2-352.2 1352 1557 23.91% 18.61% 57.47%-0.74 -2.5 10
2016-09-09 @ Floridsdorfer W 3-252.2 1557 1352 57.47% 18.61% 23.91%+0.74 +2.5 19
2016-09-09 Liefering D 1-163.9 1464 1524 42.06% 20.02% 37.92%-0.14 -0.1 9
2016-09-09 @ WSG Wattens D 1-163.9 1524 1464 37.92% 20.02% 42.06%+0.14 +0.1 18
2016-09-09 Wacker Innsbruck W 2-150.4 1410 1468 42.44% 20.01% 37.55%-0.13 +3.9 7
2016-09-09 @ Horn L 1-250.4 1468 1410 37.55% 20.01% 42.44%+0.13 -3.9 6
2016-09-12 WSG Wattens W 4-037.8 1511 1464 56.33% 18.80% 24.86%+0.29 +10.4 18
2016-09-12 @ Austria Lustenau L 0-437.8 1464 1511 24.86% 18.80% 56.33%-0.29 -10.4 9
2016-09-13 Blau-Weiss Linz W 2-034.4 1524 1386 66.57% 16.55% 16.88%+0.67 +3.8 21
2016-09-13 @ Liefering L 0-234.4 1386 1524 16.88% 16.55% 66.57%-0.67 -3.7 2
2016-09-13 Floridsdorfer W 2-032.2 1497 1349 67.51% 16.27% 16.21%+0.71 +3.6 19
2016-09-13 @ Kapfenberger L 0-232.2 1349 1497 16.21% 16.27% 67.51%-0.71 -3.6 10
2016-09-13 Horn D 1-164.5 1559 1414 67.23% 16.36% 16.41%+0.70 -1.3 20
2016-09-13 @ LASK Linz D 1-164.5 1414 1559 16.41% 16.36% 67.23%-0.70 +1.3 8
2016-09-13 Wiener Neustadter W 3-251.7 1464 1417 56.27% 18.81% 24.92%+0.29 +2.6 9
2016-09-13 @ Wacker Innsbruck L 2-351.7 1417 1464 24.92% 18.81% 56.27%-0.29 -2.6 9
2016-09-16 Austria Lustenau W 3-150.0 1558 1521 55.05% 19.00% 25.95%+0.25 +4.9 23
2016-09-16 @ LASK Linz L 1-350.0 1521 1558 25.95% 19.00% 55.05%-0.25 -4.9 18
2016-09-16 Blau-Weiss Linz D 0-054.9 1454 1382 59.30% 18.28% 22.42%+0.40 -1.0 10
2016-09-16 @ WSG Wattens D 0-054.9 1382 1454 22.42% 18.28% 59.30%-0.40 +1.0 3
2016-09-16 Kapfenberger W 2-043.0 1415 1501 38.35% 20.03% 41.62%-0.25 +8.5 12
2016-09-16 @ Wiener Neustadter L 0-243.0 1501 1415 41.62% 20.03% 38.35%+0.25 -8.5 19
2016-09-16 Liefering L 2-357.1 1415 1528 34.70% 19.91% 45.39%-0.36 -3.5 8
2016-09-16 @ Horn W 3-257.1 1528 1415 45.39% 19.91% 34.70%+0.36 +3.5 24
2016-09-16 Wacker Innsbruck W 3-147.5 1345 1466 33.61% 19.85% 46.53%-0.39 +8.1 13
2016-09-16 @ Floridsdorfer L 1-347.5 1466 1345 46.53% 19.85% 33.61%+0.39 -8.1 9
2016-09-23 Austria Lustenau L 1-347.7 1412 1517 35.77% 19.96% 44.27%-0.32 -6.5 8
2016-09-23 @ Horn W 3-147.7 1517 1412 44.27% 19.96% 35.77%+0.32 +6.5 21
2016-09-23 Kapfenberger W 1-046.2 1458 1492 45.74% 19.89% 34.37%-0.04 +3.9 12
2016-09-23 @ Wacker Innsbruck L 0-146.2 1492 1458 34.37% 19.89% 45.74%+0.04 -3.9 19
2016-09-23 LASK Linz W 2-047.7 1383 1563 26.55% 19.10% 54.36%-0.63 +10.7 6
2016-09-23 @ Blau-Weiss Linz L 0-247.7 1563 1383 54.36% 19.10% 26.55%+0.63 -10.7 23
2016-09-23 Wiener Neustadter W 3-142.9 1532 1423 63.42% 17.38% 19.20%+0.55 +3.7 27
2016-09-23 @ Liefering L 1-342.9 1423 1532 19.20% 17.38% 63.42%-0.55 -3.7 12
2016-09-23 WSG Wattens D 1-158.2 1354 1453 36.50% 19.98% 43.51%-0.30 +0.2 14
2016-09-23 @ Floridsdorfer D 1-158.2 1453 1354 43.51% 19.98% 36.50%+0.30 -0.2 11
2016-09-30 Blau-Weiss Linz W 3-250.6 1419 1394 53.69% 19.19% 27.13%+0.21 +2.8 15
2016-09-30 @ Wiener Neustadter L 2-350.6 1394 1419 27.13% 19.19% 53.69%-0.21 -2.8 6
2016-09-30 Floridsdorfer D 1-161.4 1523 1354 69.60% 15.63% 14.77%+0.80 -1.4 22
2016-09-30 @ Austria Lustenau D 1-161.4 1354 1523 14.77% 15.63% 69.60%-0.80 +1.4 15
2016-09-30 Horn W 1-039.8 1488 1405 60.56% 18.03% 21.42%+0.44 +2.5 22
2016-09-30 @ Kapfenberger L 0-139.8 1405 1488 21.42% 18.03% 60.56%-0.44 -2.5 8
2016-09-30 Liefering D 3-377.9 1552 1535 52.58% 19.32% 28.10%+0.17 -0.4 24
2016-09-30 @ LASK Linz D 3-377.9 1535 1552 28.10% 19.32% 52.58%-0.17 +0.4 28
2016-09-30 Wacker Innsbruck W 2-149.6 1453 1462 49.08% 19.67% 31.25%+0.06 +3.4 14
2016-09-30 @ WSG Wattens L 1-249.6 1462 1453 31.25% 19.67% 49.08%-0.06 -3.4 12
2016-10-14 Austria Lustenau L 0-152.0 1491 1522 46.12% 19.87% 34.00%-0.02 -4.9 22
2016-10-14 @ Kapfenberger W 1-052.0 1522 1491 34.00% 19.87% 46.12%+0.02 +4.9 25
2016-10-14 Horn W 1-040.7 1391 1403 48.72% 19.70% 31.57%+0.05 +3.6 9
2016-10-14 @ Blau-Weiss Linz L 0-140.7 1403 1391 31.57% 19.70% 48.72%-0.05 -3.6 8
2016-10-14 LASK Linz W 2-156.6 1459 1552 37.32% 20.01% 42.67%-0.28 +4.3 15
2016-10-14 @ Wacker Innsbruck L 1-256.6 1552 1459 42.67% 20.01% 37.32%+0.28 -4.4 24
2016-10-14 Liefering L 1-539.6 1355 1536 26.49% 19.09% 54.43%-0.64 -9.2 15
2016-10-14 @ Floridsdorfer W 5-139.6 1536 1355 54.43% 19.09% 26.49%+0.64 +9.2 31
2016-10-14 WSG Wattens W 2-149.4 1422 1456 45.76% 19.89% 34.35%-0.04 +3.7 18
2016-10-14 @ Wiener Neustadter L 1-249.4 1456 1422 34.35% 19.89% 45.76%+0.04 -3.7 14
2016-10-17 Wacker Innsbruck L 1-261.2 1545 1463 60.45% 18.05% 21.50%+0.44 -5.9 31
2016-10-17 @ Liefering W 2-161.2 1463 1545 21.50% 18.05% 60.45%-0.44 +5.9 18
2016-10-18 Blau-Weiss Linz D 0-058.0 1527 1394 65.92% 16.73% 17.35%+0.64 -1.3 26
2016-10-18 @ Austria Lustenau D 0-058.0 1394 1527 17.35% 16.73% 65.92%-0.64 +1.3 10
2016-10-18 Floridsdorfer W 2-142.8 1399 1346 57.13% 18.67% 24.20%+0.32 +2.7 11
2016-10-18 @ Horn L 1-242.8 1346 1399 24.20% 18.67% 57.13%-0.32 -2.7 15
2016-10-18 Kapfenberger D 3-372.3 1452 1486 45.80% 19.89% 34.31%-0.03 -0.2 15
2016-10-18 @ WSG Wattens D 3-372.3 1486 1452 34.31% 19.89% 45.80%+0.03 +0.2 23
2016-10-18 Wiener Neustadter D 2-270.3 1548 1426 64.83% 17.02% 18.15%+0.60 -0.9 25
2016-10-18 @ LASK Linz D 2-270.3 1426 1548 18.15% 17.02% 64.83%-0.60 +0.9 19
2016-10-21 Floridsdorfer D 0-052.8 1396 1343 57.03% 18.69% 24.28%+0.32 -0.9 11
2016-10-21 @ Blau-Weiss Linz D 0-052.8 1343 1396 24.28% 18.69% 57.03%-0.32 +0.9 16
2016-10-21 Horn W 2-145.7 1427 1402 53.56% 19.20% 27.24%+0.20 +3.0 22
2016-10-21 @ Wiener Neustadter L 1-245.7 1402 1427 27.24% 19.20% 53.56%-0.20 -3.0 11
2016-10-21 LASK Linz W 3-261.6 1452 1547 37.14% 20.00% 42.86%-0.28 +4.2 18
2016-10-21 @ WSG Wattens L 2-361.6 1547 1452 42.86% 20.00% 37.14%+0.28 -4.1 25
2016-10-21 Liefering W 1-049.8 1486 1539 43.05% 20.00% 36.96%-0.11 +4.1 26
2016-10-21 @ Kapfenberger L 0-149.8 1539 1486 36.96% 20.00% 43.05%+0.11 -4.1 31
2016-10-21 Wacker Innsbruck D 2-270.6 1525 1469 57.48% 18.61% 23.91%+0.33 -0.6 27
2016-10-21 @ Austria Lustenau D 2-270.6 1469 1525 23.91% 18.61% 57.48%-0.33 +0.6 19
2016-10-31 Kapfenberger W 3-147.7 1543 1490 57.02% 18.69% 24.29%+0.32 +4.6 28
2016-10-31 @ LASK Linz L 1-347.7 1490 1543 24.29% 18.69% 57.02%-0.32 -4.7 26
2016-11-01 Austria Lustenau L 3-563.0 1535 1525 51.67% 19.43% 28.90%+0.14 -7.5 31
2016-11-01 @ Liefering W 5-363.0 1525 1535 28.90% 19.43% 51.67%-0.14 +7.5 30
2016-11-01 Blau-Weiss Linz D 1-160.2 1469 1395 59.62% 18.22% 22.16%+0.41 -0.9 20
2016-11-01 @ Wacker Innsbruck D 1-160.2 1395 1469 22.16% 18.22% 59.62%-0.41 +0.9 12
2016-11-01 Wiener Neustadter D 1-157.5 1344 1430 38.39% 20.03% 41.59%-0.25 +0.1 17
2016-11-01 @ Floridsdorfer D 1-157.5 1430 1344 41.59% 20.03% 38.39%+0.25 -0.1 23
2016-11-01 WSG Wattens W 2-039.9 1399 1456 42.45% 20.01% 37.54%-0.13 +7.8 14
2016-11-01 @ Horn L 0-239.9 1456 1399 37.54% 20.01% 42.45%+0.13 -7.8 18
2016-11-04 Blau-Weiss Linz D 2-266.8 1485 1396 61.33% 17.86% 20.81%+0.47 -0.7 27
2016-11-04 @ Kapfenberger D 2-266.8 1396 1485 20.81% 17.86% 61.33%-0.47 +0.7 13
2016-11-04 Floridsdorfer W 1-036.1 1547 1344 72.68% 14.57% 12.75%+0.93 +1.5 31
2016-11-04 @ LASK Linz L 0-136.1 1344 1547 12.75% 14.57% 72.68%-0.93 -1.5 17
2016-11-04 Horn D 0-056.0 1469 1407 58.11% 18.50% 23.38%+0.36 -1.0 21
2016-11-04 @ Wacker Innsbruck D 0-056.0 1407 1469 23.38% 18.50% 58.11%-0.36 +1.0 15
2016-11-04 Wiener Neustadter W 1-041.5 1532 1430 62.77% 17.53% 19.69%+0.52 +2.3 33
2016-11-04 @ Austria Lustenau L 0-141.5 1430 1532 19.69% 17.53% 62.77%-0.52 -2.3 23
2016-11-04 WSG Wattens D 0-059.5 1527 1448 60.12% 18.12% 21.76%+0.43 -1.0 32
2016-11-04 @ Liefering D 0-059.5 1448 1527 21.76% 18.12% 60.12%-0.43 +1.0 19
2016-11-18 Austria Lustenau L 2-454.7 1449 1534 38.48% 20.03% 41.49%-0.24 -6.2 19
2016-11-18 @ WSG Wattens W 4-254.7 1534 1449 41.49% 20.03% 38.48%+0.24 +6.2 36
2016-11-18 Kapfenberger L 0-141.2 1343 1485 30.95% 19.65% 49.41%-0.48 -3.5 17
2016-11-18 @ Floridsdorfer W 1-041.2 1485 1343 49.41% 19.65% 30.95%+0.48 +3.5 30
2016-11-18 LASK Linz L 1-444.5 1408 1549 31.08% 19.66% 49.26%-0.47 -8.2 15
2016-11-18 @ Horn W 4-144.5 1549 1408 49.26% 19.66% 31.08%+0.47 +8.2 34
2016-11-18 Liefering D 1-161.6 1397 1526 32.48% 19.77% 47.75%-0.43 +0.4 14
2016-11-18 @ Blau-Weiss Linz D 1-161.6 1526 1397 47.75% 19.77% 32.48%+0.43 -0.4 33
2016-11-18 Wacker Innsbruck D 2-266.7 1427 1468 44.84% 19.94% 35.23%-0.06 -0.2 24
2016-11-18 @ Wiener Neustadter D 2-266.7 1468 1427 35.23% 19.94% 44.84%+0.06 +0.2 22
2016-11-25 Floridsdorfer W 2-141.5 1468 1339 65.56% 16.83% 17.61%+0.63 +2.0 25
2016-11-25 @ Wacker Innsbruck L 1-241.5 1339 1468 17.61% 16.83% 65.56%-0.63 -2.0 17
2016-11-25 Horn D 1-162.6 1526 1400 65.31% 16.89% 17.79%+0.62 -1.2 34
2016-11-25 @ Liefering D 1-162.6 1400 1526 17.79% 16.89% 65.31%-0.62 +1.2 16
2016-11-25 LASK Linz L 2-461.6 1541 1557 48.16% 19.74% 32.09%+0.04 -7.5 36
2016-11-25 @ Austria Lustenau W 4-261.6 1557 1541 32.09% 19.74% 48.16%-0.04 +7.5 37
2016-11-25 Wiener Neustadter L 0-345.4 1488 1427 58.03% 18.52% 23.46%+0.35 -16.5 30
2016-11-25 @ Kapfenberger W 3-045.4 1427 1488 23.46% 18.52% 58.03%-0.35 +16.4 27
2016-11-25 WSG Wattens D 0-054.5 1397 1443 43.99% 19.97% 36.04%-0.09 -0.2 15
2016-11-25 @ Blau-Weiss Linz D 0-054.5 1443 1397 36.04% 19.97% 43.99%+0.09 +0.2 20
2016-12-02 Blau-Weiss Linz W 4-033.4 1564 1397 69.43% 15.68% 14.89%+0.79 +6.2 40
2016-12-02 @ LASK Linz L 0-433.4 1397 1564 14.89% 15.68% 69.43%-0.79 -6.2 15
2016-12-02 Floridsdorfer W 1-036.0 1443 1337 63.19% 17.44% 19.38%+0.54 +2.3 23
2016-12-02 @ WSG Wattens L 0-136.0 1337 1443 19.38% 17.44% 63.19%-0.54 -2.3 17
2016-12-02 Horn L 2-365.2 1533 1401 65.95% 16.72% 17.33%+0.64 -6.0 36
2016-12-02 @ Austria Lustenau W 3-265.2 1401 1533 17.33% 16.72% 65.95%-0.64 +6.0 19
2016-12-02 Liefering L 0-148.3 1444 1525 39.03% 20.03% 40.94%-0.23 -4.3 27
2016-12-02 @ Wiener Neustadter W 1-048.3 1525 1444 40.94% 20.03% 39.03%+0.23 +4.3 37
2016-12-02 Wacker Innsbruck L 1-352.5 1472 1470 50.60% 19.54% 29.87%+0.11 -8.7 30
2016-12-02 @ Kapfenberger W 3-152.5 1470 1472 29.87% 19.54% 50.60%-0.11 +8.7 28
2017-02-24 Austria Lustenau W 1-049.4 1335 1527 25.23% 18.87% 55.90%-0.68 +5.8 20
2017-02-24 @ Floridsdorfer L 0-149.4 1527 1335 55.90% 18.87% 25.23%+0.68 -5.8 36
2017-02-24 Kapfenberger W 2-150.1 1407 1463 42.59% 20.01% 37.40%-0.13 +3.9 22
2017-02-24 @ Horn L 1-250.1 1463 1407 37.40% 20.01% 42.59%+0.13 -3.9 30
2017-02-24 LASK Linz L 0-348.5 1529 1571 44.66% 19.94% 35.40%-0.07 -13.1 37
2017-02-24 @ Liefering W 3-048.5 1571 1529 35.40% 19.94% 44.66%+0.07 +13.1 43
2017-02-24 Wiener Neustadter W 3-036.8 1391 1439 43.64% 19.98% 36.38%-0.10 +11.1 18
2017-02-24 @ Blau-Weiss Linz L 0-336.8 1439 1391 36.38% 19.98% 43.64%+0.10 -11.1 27
2017-02-24 WSG Wattens L 0-151.1 1478 1446 54.56% 19.07% 26.37%+0.24 -5.7 28
2017-02-24 @ Wacker Innsbruck W 1-051.1 1446 1478 26.37% 19.07% 54.56%-0.24 +5.7 26
2017-03-03 Blau-Weiss Linz L 0-242.8 1411 1402 51.54% 19.44% 29.02%+0.14 -10.2 22
2017-03-03 @ Horn W 2-042.8 1402 1411 29.02% 19.44% 51.54%-0.14 +10.2 21
2017-03-03 Floridsdorfer W 1-035.8 1516 1341 70.15% 15.45% 14.40%+0.82 +1.7 40
2017-03-03 @ Liefering L 0-135.8 1341 1516 14.40% 15.45% 70.15%-0.82 -1.7 20
2017-03-03 Kapfenberger D 0-059.6 1521 1459 58.19% 18.49% 23.32%+0.36 -1.0 37
2017-03-03 @ Austria Lustenau D 0-059.6 1459 1521 23.32% 18.49% 58.19%-0.36 +0.9 31
2017-03-03 Wacker Innsbruck W 3-146.6 1584 1473 63.69% 17.31% 19.00%+0.56 +3.7 46
2017-03-03 @ LASK Linz L 1-346.6 1473 1584 19.00% 17.31% 63.69%-0.56 -3.7 28
2017-03-03 Wiener Neustadter W 3-035.3 1451 1428 53.37% 19.23% 27.41%+0.20 +8.7 29
2017-03-03 @ WSG Wattens L 0-335.3 1428 1451 27.41% 19.23% 53.37%-0.20 -8.7 27
2017-03-10 Austria Lustenau D 0-057.4 1412 1520 35.22% 19.94% 44.84%-0.34 +0.2 22
2017-03-10 @ Blau-Weiss Linz D 0-057.4 1520 1412 44.84% 19.94% 35.22%+0.34 -0.2 38
2017-03-10 Horn L 0-238.7 1339 1400 41.84% 20.02% 38.14%-0.15 -8.6 20
2017-03-10 @ Floridsdorfer W 2-038.7 1400 1339 38.14% 20.02% 41.84%+0.15 +8.6 25
2017-03-10 LASK Linz L 0-242.0 1420 1587 27.89% 19.29% 52.81%-0.58 -6.1 27
2017-03-10 @ Wiener Neustadter W 2-042.0 1587 1420 52.81% 19.29% 27.89%+0.58 +6.1 49
2017-03-10 Liefering L 0-246.2 1469 1518 43.69% 19.98% 36.33%-0.10 -8.9 28
2017-03-10 @ Wacker Innsbruck W 2-046.2 1518 1469 36.33% 19.98% 43.69%+0.10 +8.9 43
2017-03-10 WSG Wattens W 2-149.4 1460 1460 50.32% 19.56% 30.11%+0.10 +3.3 34
2017-03-10 @ Kapfenberger L 1-249.4 1460 1460 30.11% 19.56% 50.32%-0.10 -3.3 29
2017-03-13 Austria Lustenau W 1-048.4 1460 1520 42.05% 20.02% 37.93%-0.14 +4.2 31
2017-03-13 @ Wacker Innsbruck L 0-148.4 1520 1460 37.93% 20.02% 42.05%+0.14 -4.2 38
2017-03-14 Blau-Weiss Linz L 1-247.6 1330 1412 38.96% 20.03% 41.01%-0.23 -4.0 20
2017-03-14 @ Floridsdorfer W 2-147.6 1412 1330 41.01% 20.03% 38.96%+0.23 +4.0 25
2017-03-14 Kapfenberger D 1-164.5 1526 1463 58.29% 18.47% 23.24%+0.36 -0.9 44
2017-03-14 @ Liefering D 1-164.5 1463 1526 23.24% 18.47% 58.29%-0.36 +0.9 35
2017-03-14 Wiener Neustadter W 2-036.9 1409 1413 49.76% 19.61% 30.63%+0.09 +6.6 28
2017-03-14 @ Horn L 0-236.9 1413 1409 30.63% 19.61% 49.76%-0.09 -6.6 27
2017-03-14 WSG Wattens W 2-039.6 1593 1457 66.37% 16.60% 17.03%+0.66 +3.8 52
2017-03-14 @ LASK Linz L 0-239.6 1457 1593 17.03% 16.60% 66.37%-0.66 -3.8 29
2017-03-17 Floridsdorfer L 0-341.4 1407 1326 60.30% 18.08% 21.62%+0.43 -17.0 27
2017-03-17 @ Wiener Neustadter W 3-041.4 1326 1407 21.62% 18.08% 60.30%-0.43 +17.0 23
2017-03-17 Horn D 1-160.1 1453 1416 55.16% 18.98% 25.86%+0.26 -0.7 30
2017-03-17 @ WSG Wattens D 1-160.1 1416 1453 25.86% 18.98% 55.16%-0.26 +0.7 29
2017-03-17 LASK Linz D 2-272.7 1464 1597 32.05% 19.74% 48.21%-0.44 +0.3 36
2017-03-17 @ Kapfenberger D 2-272.7 1597 1464 48.21% 19.74% 32.05%+0.44 -0.3 53
2017-03-17 Liefering W 2-044.4 1516 1526 49.06% 19.67% 31.27%+0.06 +6.7 41
2017-03-17 @ Austria Lustenau L 0-244.4 1526 1516 31.27% 19.67% 49.06%-0.06 -6.7 44
2017-03-17 Wacker Innsbruck W 3-146.3 1416 1464 43.71% 19.98% 36.31%-0.09 +6.6 28
2017-03-17 @ Blau-Weiss Linz L 1-346.3 1464 1416 36.31% 19.98% 43.71%+0.09 -6.6 31
2017-03-31 Austria Lustenau D 1-161.3 1390 1523 32.06% 19.74% 48.19%-0.44 +0.4 28
2017-03-31 @ Wiener Neustadter D 1-161.3 1523 1390 48.19% 19.74% 32.06%+0.44 -0.4 42
2017-03-31 Kapfenberger L 1-252.8 1423 1464 44.64% 19.94% 35.41%-0.07 -4.5 28
2017-03-31 @ Blau-Weiss Linz W 2-152.8 1464 1423 35.41% 19.94% 44.64%+0.07 +4.5 39
2017-03-31 LASK Linz L 1-342.5 1343 1597 19.52% 17.48% 63.00%-0.93 -3.8 23
2017-03-31 @ Floridsdorfer W 3-142.5 1597 1343 63.00% 17.48% 19.52%+0.93 +3.8 56
2017-03-31 Liefering W 5-043.3 1452 1519 41.13% 20.03% 38.84%-0.17 +18.9 33
2017-03-31 @ WSG Wattens L 0-543.3 1519 1452 38.84% 20.03% 41.13%+0.17 -18.9 44
2017-03-31 Wacker Innsbruck L 1-252.4 1416 1458 44.68% 19.94% 35.38%-0.07 -4.5 29
2017-03-31 @ Horn W 2-152.4 1458 1416 35.38% 19.94% 44.68%+0.07 +4.5 34
2017-04-07 Blau-Weiss Linz L 0-346.1 1500 1418 60.46% 18.05% 21.49%+0.44 -17.0 44
2017-04-07 @ Liefering W 3-046.1 1418 1500 21.49% 18.05% 60.46%-0.44 +17.0 31
2017-04-07 Horn W 2-146.5 1601 1412 71.40% 15.02% 13.57%+0.88 +1.5 59
2017-04-07 @ LASK Linz L 1-246.5 1412 1601 13.57% 15.02% 71.40%-0.88 -1.5 29
2017-04-07 Wiener Neustadter D 2-265.9 1462 1390 59.34% 18.27% 22.38%+0.40 -0.7 35
2017-04-07 @ Wacker Innsbruck D 2-265.9 1390 1462 22.38% 18.27% 59.34%-0.40 +0.7 29
2017-04-07 WSG Wattens D 2-270.5 1522 1471 56.84% 18.72% 24.44%+0.31 -0.6 43
2017-04-07 @ Austria Lustenau D 2-270.5 1471 1522 24.44% 18.72% 56.84%-0.31 +0.6 34
2017-04-08 Floridsdorfer L 0-150.3 1469 1340 65.63% 16.81% 17.56%+0.63 -6.7 39
2017-04-08 @ Kapfenberger W 1-050.3 1340 1469 17.56% 16.81% 65.63%-0.63 +6.7 26
2017-04-14 Austria Lustenau W 2-043.9 1602 1522 60.30% 18.08% 21.62%+0.43 +4.8 62
2017-04-14 @ LASK Linz L 0-243.9 1522 1602 21.62% 18.08% 60.30%-0.43 -4.8 43
2017-04-14 Blau-Weiss Linz D 3-371.5 1472 1435 55.05% 19.00% 25.95%+0.25 -0.4 35
2017-04-14 @ WSG Wattens D 3-371.5 1435 1472 25.95% 19.00% 55.05%-0.25 +0.4 32
2017-04-14 Kapfenberger W 3-146.5 1391 1462 40.42% 20.04% 39.54%-0.19 +7.1 32
2017-04-14 @ Wiener Neustadter L 1-346.5 1462 1391 39.54% 20.04% 40.42%+0.19 -7.1 39
2017-04-14 Liefering L 0-146.1 1410 1483 40.25% 20.04% 39.71%-0.19 -4.4 29
2017-04-14 @ Horn W 1-046.1 1483 1410 39.71% 20.04% 40.25%+0.19 +4.4 47
2017-04-14 Wacker Innsbruck L 1-247.5 1346 1462 34.34% 19.89% 45.77%-0.37 -3.6 26
2017-04-14 @ Floridsdorfer W 2-147.5 1462 1346 45.77% 19.89% 34.34%+0.37 +3.6 38
2017-04-17 LASK Linz D 1-166.2 1436 1607 27.50% 19.24% 53.26%-0.60 +0.6 33
2017-04-17 @ Blau-Weiss Linz D 1-166.2 1607 1436 53.26% 19.24% 27.50%+0.60 -0.6 63
2017-04-18 Austria Lustenau L 1-251.0 1406 1517 34.91% 19.92% 45.17%-0.35 -3.7 29
2017-04-18 @ Horn W 2-151.0 1517 1406 45.17% 19.92% 34.91%+0.35 +3.7 46
2017-04-18 Kapfenberger D 3-371.8 1465 1455 51.67% 19.43% 28.90%+0.14 -0.3 39
2017-04-18 @ Wacker Innsbruck D 3-371.8 1455 1465 28.90% 19.43% 51.67%-0.14 +0.3 40
2017-04-18 WSG Wattens L 0-237.3 1343 1471 32.60% 19.78% 47.62%-0.42 -7.0 26
2017-04-18 @ Floridsdorfer W 2-037.3 1471 1343 47.62% 19.78% 32.60%+0.42 +7.0 38
2017-04-21 Blau-Weiss Linz D 0-054.4 1398 1436 45.11% 19.92% 34.97%-0.05 -0.3 33
2017-04-21 @ Wiener Neustadter D 0-054.4 1436 1398 34.97% 19.92% 45.11%+0.05 +0.3 34
2017-04-21 Floridsdorfer D 0-056.4 1521 1336 71.05% 15.15% 13.80%+0.86 -1.6 47
2017-04-21 @ Austria Lustenau D 0-056.4 1336 1521 13.80% 15.15% 71.05%-0.86 +1.6 27
2017-04-21 Horn D 1-159.9 1456 1402 57.10% 18.68% 24.22%+0.32 -0.8 41
2017-04-21 @ Kapfenberger D 1-159.9 1402 1456 24.22% 18.68% 57.10%-0.32 +0.8 30
2017-04-21 Liefering W 3-039.5 1606 1487 64.55% 17.09% 18.35%+0.59 +5.9 66
2017-04-21 @ LASK Linz L 0-339.5 1487 1606 18.35% 17.09% 64.55%-0.59 -5.9 47
2017-04-21 Wacker Innsbruck L 3-464.9 1478 1465 52.10% 19.38% 28.52%+0.16 -4.8 38
2017-04-21 @ WSG Wattens W 4-364.9 1465 1478 28.52% 19.38% 52.10%-0.16 +4.8 42
2017-04-25 Wiener Neustadter W 2-145.0 1481 1398 60.68% 18.00% 21.32%+0.45 +2.4 50
2017-04-25 @ Liefering L 1-245.0 1398 1481 21.32% 18.00% 60.68%-0.45 -2.4 33
2017-04-28 Austria Lustenau L 2-360.2 1455 1519 41.43% 20.03% 38.54%-0.16 -4.0 41
2017-04-28 @ Kapfenberger W 3-260.2 1519 1455 38.54% 20.03% 41.43%+0.16 +4.0 50
2017-04-28 Horn L 1-447.7 1437 1403 54.67% 19.05% 26.28%+0.24 -13.1 34
2017-04-28 @ Blau-Weiss Linz W 4-147.7 1403 1437 26.28% 19.05% 54.67%-0.24 +13.2 33
2017-04-28 Liefering L 0-334.7 1337 1484 30.40% 19.59% 50.01%-0.50 -9.5 27
2017-04-28 @ Floridsdorfer W 3-034.7 1484 1337 50.01% 19.59% 30.40%+0.50 +9.5 53
2017-04-28 WSG Wattens W 2-041.2 1395 1474 39.43% 20.04% 40.54%-0.22 +8.4 36
2017-04-28 @ Wiener Neustadter L 0-241.2 1474 1395 40.54% 20.04% 39.43%+0.22 -8.4 38
2017-05-01 Floridsdorfer L 0-243.9 1416 1328 61.21% 17.89% 20.90%+0.46 -11.9 33
2017-05-01 @ Horn W 2-043.9 1328 1416 20.90% 17.89% 61.21%-0.46 +11.9 30
2017-05-02 Blau-Weiss Linz L 1-453.0 1523 1423 62.47% 17.61% 19.93%+0.51 -14.8 50
2017-05-02 @ Austria Lustenau W 4-153.0 1423 1523 19.93% 17.61% 62.47%-0.51 +14.8 37
2017-05-02 Kapfenberger W 4-142.2 1465 1451 52.26% 19.36% 28.38%+0.16 +7.6 41
2017-05-02 @ WSG Wattens L 1-442.2 1451 1465 28.38% 19.36% 52.26%-0.16 -7.6 41
2017-05-02 Wacker Innsbruck L 0-345.9 1493 1470 53.41% 19.22% 27.37%+0.20 -15.3 53
2017-05-02 @ Liefering W 3-045.9 1470 1493 27.37% 19.22% 53.41%-0.20 +15.3 45
2017-05-02 Wiener Neustadter W 1-040.4 1612 1404 73.16% 14.40% 12.44%+0.96 +1.4 69
2017-05-02 @ LASK Linz L 0-140.4 1404 1612 12.44% 14.40% 73.16%-0.96 -1.4 36
2017-05-05 Floridsdorfer D 0-053.8 1438 1340 62.34% 17.64% 20.02%+0.51 -1.2 38
2017-05-05 @ Blau-Weiss Linz D 0-053.8 1340 1438 20.02% 17.64% 62.34%-0.51 +1.2 31
2017-05-05 Horn W 3-142.4 1402 1404 50.05% 19.59% 30.36%+0.09 +5.7 39
2017-05-05 @ Wiener Neustadter L 1-342.4 1404 1402 30.36% 19.59% 50.05%-0.09 -5.7 33
2017-05-05 LASK Linz W 2-051.4 1473 1614 31.08% 19.66% 49.26%-0.47 +9.8 44
2017-05-05 @ WSG Wattens L 0-251.4 1614 1473 49.26% 19.66% 31.08%+0.47 -9.8 69
2017-05-05 Liefering L 0-342.3 1443 1478 45.58% 19.90% 34.51%-0.04 -13.3 41
2017-05-05 @ Kapfenberger W 3-042.3 1478 1443 34.51% 19.90% 45.58%+0.04 +13.4 56
2017-05-05 Wacker Innsbruck W 2-151.1 1508 1485 53.37% 19.23% 27.40%+0.20 +3.0 53
2017-05-05 @ Austria Lustenau L 1-251.1 1485 1508 27.40% 19.23% 53.37%-0.20 -3.0 45
2017-05-08 LASK Linz L 2-361.9 1482 1604 33.48% 19.84% 46.68%-0.40 -3.4 45
2017-05-08 @ Wacker Innsbruck W 3-261.9 1604 1482 46.68% 19.84% 33.48%+0.40 +3.4 72
2017-05-12 Austria Lustenau W 4-146.7 1491 1511 47.66% 19.78% 32.56%+0.02 +8.5 59
2017-05-12 @ Liefering L 1-446.7 1511 1491 32.56% 19.78% 47.66%-0.02 -8.5 53
2017-05-12 Blau-Weiss Linz W 2-147.6 1479 1437 55.68% 18.91% 25.42%+0.27 +2.8 48
2017-05-12 @ Wacker Innsbruck L 1-247.6 1437 1479 25.42% 18.91% 55.68%-0.27 -2.8 38
2017-05-12 Kapfenberger D 1-167.1 1607 1430 70.37% 15.38% 14.26%+0.83 -1.4 73
2017-05-12 @ LASK Linz D 1-167.1 1430 1607 14.26% 15.38% 70.37%-0.83 +1.4 42
2017-05-12 Wiener Neustadter W 3-035.9 1341 1408 41.04% 20.03% 38.93%-0.17 +11.7 34
2017-05-12 @ Floridsdorfer L 0-335.9 1408 1341 38.93% 20.03% 41.04%+0.17 -11.7 39
2017-05-12 WSG Wattens L 2-356.2 1399 1483 38.62% 20.03% 41.35%-0.24 -3.8 33
2017-05-12 @ Horn W 3-256.2 1483 1399 41.35% 20.03% 38.62%+0.24 +3.8 47
2017-05-19 Blau-Weiss Linz W 3-253.2 1431 1434 49.93% 19.60% 30.47%+0.09 +3.1 45
2017-05-19 @ Kapfenberger L 2-353.2 1434 1431 30.47% 19.60% 49.93%-0.09 -3.1 38
2017-05-19 Floridsdorfer D 2-271.0 1606 1353 76.84% 12.96% 10.19%+1.14 -1.2 74
2017-05-19 @ LASK Linz D 2-271.0 1353 1606 10.19% 12.96% 76.84%-1.14 +1.2 35
2017-05-19 Horn W 3-032.9 1481 1395 61.00% 17.93% 21.07%+0.46 +6.8 51
2017-05-19 @ Wacker Innsbruck L 0-332.9 1395 1481 21.07% 17.93% 61.00%-0.46 -6.8 33
2017-05-19 Wiener Neustadter W 2-035.0 1503 1396 63.22% 17.43% 19.35%+0.54 +4.3 56
2017-05-19 @ Austria Lustenau L 0-235.0 1396 1503 19.35% 17.43% 63.22%-0.54 -4.3 39
2017-05-19 WSG Wattens L 2-363.7 1500 1486 52.11% 19.38% 28.52%+0.16 -4.9 59
2017-05-19 @ Liefering W 3-263.7 1486 1500 28.52% 19.38% 52.11%-0.16 +4.9 50
2017-05-26 Austria Lustenau D 2-270.4 1491 1507 48.23% 19.74% 32.03%+0.04 -0.3 51
2017-05-26 @ WSG Wattens D 2-270.4 1507 1491 32.03% 19.74% 48.23%-0.04 +0.3 57
2017-05-26 Kapfenberger W 3-145.3 1354 1434 39.12% 20.03% 40.85%-0.23 +7.3 38
2017-05-26 @ Floridsdorfer L 1-345.3 1434 1354 40.85% 20.03% 39.12%+0.23 -7.3 45
2017-05-26 LASK Linz L 1-249.5 1388 1605 22.81% 18.37% 58.82%-0.78 -2.5 33
2017-05-26 @ Horn W 2-149.5 1605 1388 58.82% 18.37% 22.81%+0.78 +2.5 77
2017-05-26 Liefering D 0-057.2 1431 1495 41.49% 20.03% 38.48%-0.16 -0.1 39
2017-05-26 @ Blau-Weiss Linz D 0-057.2 1495 1431 38.48% 20.03% 41.49%+0.16 +0.1 60
2017-05-26 Wacker Innsbruck L 1-346.5 1392 1488 36.89% 20.00% 43.11%-0.29 -6.7 39
2017-05-26 @ Wiener Neustadter W 3-146.5 1488 1392 43.11% 20.00% 36.89%+0.29 +6.7 54

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 2016-12-02 17.33% Horn 1401 3 @ Austria Lustenau 1533 2
2 2017-04-08 17.56% Floridsdorfer 1340 1 @ Kapfenberger 1469 0
3 2016-08-26 18.95% Floridsdorfer 1334 3 @ Wiener Neustadter 1445 0
4 2017-05-02 19.93% Blau-Weiss Linz 1423 4 @ Austria Lustenau 1523 1
5 2017-05-01 20.90% Floridsdorfer 1328 2 @ Horn 1416 0
6 2017-04-07 21.49% Blau-Weiss Linz 1418 3 @ Liefering 1500 0
7 2016-10-17 21.50% Wacker Innsbruck 1463 2 @ Liefering 1545 1
8 2017-03-17 21.62% Floridsdorfer 1326 3 @ Wiener Neustadter 1407 0
9 2016-11-25 23.46% Wiener Neustadter 1427 3 @ Kapfenberger 1488 0
10 2016-08-12 24.43% Wiener Neustadter 1438 1 @ WSG Wattens 1489 0
11 2017-02-24 25.23% @ Floridsdorfer 1335 1 Austria Lustenau 1527 0
12 2017-04-28 26.28% Horn 1403 4 @ Blau-Weiss Linz 1437 1
13 2017-02-24 26.37% WSG Wattens 1446 1 @ Wacker Innsbruck 1478 0
14 2016-09-23 26.55% @ Blau-Weiss Linz 1383 2 LASK Linz 1563 0
15 2017-05-02 27.37% Wacker Innsbruck 1470 3 @ Liefering 1493 0
16 2016-08-12 27.75% Kapfenberger 1485 3 @ Austria Lustenau 1506 1
17 2017-04-21 28.52% Wacker Innsbruck 1465 4 @ WSG Wattens 1478 3
18 2017-05-19 28.52% WSG Wattens 1486 3 @ Liefering 1500 2
19 2016-11-01 28.90% Austria Lustenau 1525 5 @ Liefering 1535 3
20 2017-03-03 29.02% Blau-Weiss Linz 1402 2 @ Horn 1411 0
21 2016-12-02 29.87% Wacker Innsbruck 1470 3 @ Kapfenberger 1472 1
22 2016-08-05 30.58% WSG Wattens 1484 2 @ Wacker Innsbruck 1480 1
23 2017-05-05 31.08% @ WSG Wattens 1473 2 LASK Linz 1614 0
24 2016-11-25 32.09% LASK Linz 1557 4 @ Austria Lustenau 1541 2
25 2016-08-19 33.04% Austria Lustenau 1496 1 @ Wacker Innsbruck 1473 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 2017-03-31 18.86 @ WSG Wattens 5 1452 41.13% Liefering 0 1519 38.84% 20.03%
2 2016-08-26 17.86 Floridsdorfer 3 1334 18.95% @ Wiener Neustadter 0 1445 63.75% 17.30%
3 2017-04-07 17.05 Blau-Weiss Linz 3 1418 21.49% @ Liefering 0 1500 60.46% 18.05%
4 2017-03-17 17.01 Floridsdorfer 3 1326 21.62% @ Wiener Neustadter 0 1407 60.30% 18.08%
5 2016-11-25 16.45 Wiener Neustadter 3 1427 23.46% @ Kapfenberger 0 1488 58.03% 18.52%
6 2017-05-02 15.29 Wacker Innsbruck 3 1470 27.37% @ Liefering 0 1493 53.41% 19.22%
7 2017-05-02 14.80 Blau-Weiss Linz 4 1423 19.93% @ Austria Lustenau 1 1523 62.47% 17.61%
8 2017-05-05 13.35 Liefering 3 1478 34.51% @ Kapfenberger 0 1443 45.58% 19.90%
9 2017-04-28 13.16 Horn 4 1403 26.28% @ Blau-Weiss Linz 1 1437 54.67% 19.05%
10 2017-02-24 13.13 LASK Linz 3 1571 35.40% @ Liefering 0 1529 44.66% 19.94%
11 2016-07-22 12.59 WSG Wattens 3 1473 37.56% @ Blau-Weiss Linz 0 1416 42.43% 20.01%
12 2017-05-01 11.87 Floridsdorfer 2 1328 20.90% @ Horn 0 1416 61.21% 17.89%
13 2017-05-12 11.74 @ Floridsdorfer 3 1341 41.04% Wiener Neustadter 0 1408 38.93% 20.03%
14 2017-02-24 11.11 @ Blau-Weiss Linz 3 1391 43.64% Wiener Neustadter 0 1439 36.38% 19.98%
15 2016-09-23 10.69 @ Blau-Weiss Linz 2 1383 26.55% LASK Linz 0 1563 54.36% 19.10%
16 2016-07-29 10.66 Liefering 4 1500 37.34% @ Wiener Neustadter 1 1444 42.65% 20.01%
17 2016-09-12 10.40 @ Austria Lustenau 4 1511 56.33% WSG Wattens 0 1464 24.86% 18.80%
18 2017-03-03 10.21 Blau-Weiss Linz 2 1402 29.02% @ Horn 0 1411 51.54% 19.44%
19 2016-09-09 10.14 Austria Lustenau 4 1501 39.86% @ Wiener Neustadter 1 1427 40.10% 20.04%
20 2017-05-05 9.82 @ WSG Wattens 2 1473 31.08% LASK Linz 0 1614 49.26% 19.66%
21 2016-08-19 9.56 @ LASK Linz 4 1543 58.91% WSG Wattens 0 1474 22.73% 18.35%
22 2017-04-28 9.54 Liefering 3 1484 50.01% @ Floridsdorfer 0 1337 30.40% 19.59%
23 2016-10-14 9.19 Liefering 5 1536 54.43% @ Floridsdorfer 1 1355 26.49% 19.09%
24 2016-08-16 9.11 @ Kapfenberger 3 1494 51.77% WSG Wattens 0 1484 28.82% 19.42%
25 2016-08-12 9.05 Kapfenberger 3 1485 27.75% @ Austria Lustenau 1 1506 52.98% 19.27%

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 2016-09-30 77.9 @ LASK Linz 3 1552 52.58% Liefering 3 1535 28.10% 19.32%
2 2017-03-17 72.7 @ Kapfenberger 2 1464 32.05% LASK Linz 2 1597 48.21% 19.74%
3 2016-10-18 72.3 @ WSG Wattens 3 1452 45.80% Kapfenberger 3 1486 34.31% 19.89%
4 2017-04-18 71.8 @ Wacker Innsbruck 3 1465 51.67% Kapfenberger 3 1455 28.90% 19.43%
5 2017-04-14 71.5 @ WSG Wattens 3 1472 55.05% Blau-Weiss Linz 3 1435 25.95% 19.00%
6 2017-05-19 71.0 @ LASK Linz 2 1606 76.84% Floridsdorfer 2 1353 10.19% 12.96%
7 2016-10-21 70.6 @ Austria Lustenau 2 1525 57.48% Wacker Innsbruck 2 1469 23.91% 18.61%
8 2017-04-07 70.5 @ Austria Lustenau 2 1522 56.84% WSG Wattens 2 1471 24.44% 18.72%
9 2017-05-26 70.4 @ WSG Wattens 2 1491 48.23% Austria Lustenau 2 1507 32.03% 19.74%
10 2016-10-18 70.3 @ LASK Linz 2 1548 64.83% Wiener Neustadter 2 1426 18.15% 17.02%
11 2017-05-12 67.1 @ LASK Linz 1 1607 70.37% Kapfenberger 1 1430 14.26% 15.38%
12 2016-11-04 66.8 @ Kapfenberger 2 1485 61.33% Blau-Weiss Linz 2 1396 20.81% 17.86%
13 2016-11-18 66.7 @ Wiener Neustadter 2 1427 44.84% Wacker Innsbruck 2 1468 35.23% 19.94%
14 2016-08-26 66.4 @ WSG Wattens 2 1465 57.33% Horn 2 1410 24.03% 18.64%
15 2017-04-17 66.2 @ Blau-Weiss Linz 1 1436 27.50% LASK Linz 1 1607 53.26% 19.24%
16 2017-04-07 65.9 @ Wacker Innsbruck 2 1462 59.34% Wiener Neustadter 2 1390 22.38% 18.27%
17 2016-07-22 65.8 @ Austria Lustenau 1 1498 44.64% LASK Linz 1 1540 35.42% 19.94%
18 2016-08-26 65.5 @ Blau-Weiss Linz 2 1390 39.50% Wacker Innsbruck 2 1468 40.47% 20.04%
19 2016-08-26 65.4 @ Austria Lustenau 1 1501 47.29% Liefering 1 1524 32.90% 19.80%
20 2016-12-02 65.2 Horn 3 1401 17.33% @ Austria Lustenau 2 1533 65.95% 16.72%
21 2017-04-21 64.9 Wacker Innsbruck 4 1465 28.52% @ WSG Wattens 3 1478 52.10% 19.38%
22 2016-09-13 64.5 @ LASK Linz 1 1559 67.23% Horn 1 1414 16.41% 16.36%
23 2017-03-14 64.5 @ Liefering 1 1526 58.29% Kapfenberger 1 1463 23.24% 18.47%
24 2016-08-16 64.0 @ Wacker Innsbruck 1 1473 44.22% Liefering 1 1517 35.82% 19.96%
25 2016-09-09 63.9 @ WSG Wattens 1 1464 42.06% Liefering 1 1524 37.92% 20.02%
# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2016-09-13 32.2 @ Kapfenberger 2 1497 67.51% Floridsdorfer 0 1349 16.21% 16.27%
2 2017-05-19 32.9 @ Wacker Innsbruck 3 1481 61.00% Horn 0 1395 21.07% 17.93%
3 2016-12-02 33.4 @ LASK Linz 4 1564 69.43% Blau-Weiss Linz 0 1397 14.89% 15.68%
4 2016-09-13 34.4 @ Liefering 2 1524 66.57% Blau-Weiss Linz 0 1386 16.88% 16.55%
5 2017-04-28 34.7 Liefering 3 1484 50.01% @ Floridsdorfer 0 1337 30.40% 19.59%
6 2017-05-19 35.0 @ Austria Lustenau 2 1503 63.22% Wiener Neustadter 0 1396 19.35% 17.43%
7 2017-03-03 35.3 @ WSG Wattens 3 1451 53.37% Wiener Neustadter 0 1428 27.41% 19.23%
8 2017-03-03 35.8 @ Liefering 1 1516 70.15% Floridsdorfer 0 1341 14.40% 15.45%
9 2017-05-12 35.9 @ Floridsdorfer 3 1341 41.04% Wiener Neustadter 0 1408 38.93% 20.03%
10 2016-12-02 36.0 @ WSG Wattens 1 1443 63.19% Floridsdorfer 0 1337 19.38% 17.44%
11 2016-11-04 36.1 @ LASK Linz 1 1547 72.68% Floridsdorfer 0 1344 12.75% 14.57%
12 2017-02-24 36.8 @ Blau-Weiss Linz 3 1391 43.64% Wiener Neustadter 0 1439 36.38% 19.98%
13 2017-03-14 36.9 @ Horn 2 1409 49.76% Wiener Neustadter 0 1413 30.63% 19.61%
14 2017-04-18 37.3 WSG Wattens 2 1471 47.62% @ Floridsdorfer 0 1343 32.60% 19.78%
15 2016-09-12 37.8 @ Austria Lustenau 4 1511 56.33% WSG Wattens 0 1464 24.86% 18.80%
16 2016-08-19 38.6 @ LASK Linz 4 1543 58.91% WSG Wattens 0 1474 22.73% 18.35%
17 2017-03-10 38.7 Horn 2 1400 38.14% @ Floridsdorfer 0 1339 41.84% 20.02%
18 2016-08-16 39.2 @ Kapfenberger 3 1494 51.77% WSG Wattens 0 1484 28.82% 19.42%
19 2017-04-21 39.5 @ LASK Linz 3 1606 64.55% Liefering 0 1487 18.35% 17.09%
20 2016-10-14 39.6 Liefering 5 1536 54.43% @ Floridsdorfer 1 1355 26.49% 19.09%
21 2017-03-14 39.6 @ LASK Linz 2 1593 66.37% WSG Wattens 0 1457 17.03% 16.60%
22 2016-09-30 39.8 @ Kapfenberger 1 1488 60.56% Horn 0 1405 21.42% 18.03%
23 2016-11-01 39.9 @ Horn 2 1399 42.45% WSG Wattens 0 1456 37.54% 20.01%
24 2016-07-22 40.3 WSG Wattens 3 1473 37.56% @ Blau-Weiss Linz 0 1416 42.43% 20.01%
25 2017-05-02 40.4 @ LASK Linz 1 1612 73.16% Wiener Neustadter 0 1404 12.44% 14.40%