2017-18 Bundesliga Season

180 games

Final

Champion

Salzburg

83 points

Relegated

No relegation

Biggest Overachiever

Sturm Graz

8.42 points above expected

70 points · 61.58 expected points

Biggest Disappointment

Austria Wien

9.73 points below expected

43 points · 52.73 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	8	3	83	81	29	+52	76.75	+6.25
2	Sturm Graz	36	22	4	10	70	68	45	+23	61.58	+8.42
3	Rapid Wien	36	17	11	8	62	68	43	+25	60.09	+1.91
4	LASK	36	17	6	13	57	49	41	+8	51.62	+5.38
5	Admira Wacker	36	15	6	15	51	59	66	-7	49.77	+1.23
6	Mattersburg	36	12	10	14	46	50	56	-6	40.21	+5.79
7	Austria Wien	36	12	7	17	43	51	55	-4	52.73	-9.73
8	SCR Altach	36	10	8	18	38	35	51	-16	44.43	-6.43
9	Wolfsberg	36	8	9	19	33	31	57	-26	37.54	-4.54
10	SKN St. Polten	36	5	5	26	20	28	77	-49	28.47	-8.47

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	Sturm Graz	70	61.58	+8.42
2	Salzburg	83	76.75	+6.25
3	Mattersburg	46	40.21	+5.79
4	LASK	57	51.62	+5.38
5	Rapid Wien	62	60.09	+1.91

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Austria Wien	43	52.73	-9.73
2	SKN St. Polten	20	28.47	-8.47
3	SCR Altach	38	44.43	-6.43
4	Wolfsberg	33	37.54	-4.54
5	Admira Wacker	51	49.77	+1.23

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	7	Mar 10 – Apr 28	1 in 308
2	SKN St. Polten	3	May 12 – May 27	1 in 258
3	Sturm Graz	6	Jul 23 – Aug 27	1 in 202
4	Wolfsberg	3	May 5 – May 20	1 in 72
5	Mattersburg	4	Dec 16 – Feb 17	1 in 48

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Wolfsberg	8	Feb 17 – Apr 14	1 in 219
2	Sturm Graz	3	Dec 17 – Feb 10	1 in 124
3	LASK	4	May 5 – May 27	1 in 119
4	Mattersburg	4	Aug 20 – Sep 17	1 in 19
5	Austria Wien	3	Feb 10 – Feb 24	1 in 15

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Mattersburg	9	Dec 2 – Mar 11	1 in 352
2	Rapid Wien	10	Aug 26 – Nov 18	1 in 102
3	Salzburg	22	Sep 10 – Mar 31	1 in 44
4	Austria Wien	8	Aug 6 – Oct 1	1 in 28
5	Admira Wacker	6	Sep 9 – Oct 22	1 in 24

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Wolfsberg	15	Sep 9 – Feb 3	1 in 292
2	SKN St. Polten	16	Jul 23 – Nov 25	1 in 101
3	Mattersburg	11	Aug 6 – Oct 28	1 in 45
4	Austria Wien	6	Apr 15 – May 20	1 in 34
5	Sturm Graz	5	Dec 17 – Feb 25	1 in 30

Position Race

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

Recent Form

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

Team	Elo	Season Pts	Elo Δ (5)	Points (5)	Expected (5)	Actual − Exp
Salzburg	1958	83	-31	12	11.2	+0.8
Sturm Graz	1840	70	+27	10	7.8	+2.2
Rapid Wien	1863	62	-10	7	8.3	-1.3
LASK	1737	57	-58	3	8.0	-5.0
Admira Wacker	1673	51	-38	5	8.2	-3.2
Mattersburg	1684	46	+8	7	5.5	+1.5
Austria Wien	1718	43	+13	4	7.4	-3.4
SCR Altach	1622	38	-35	4	5.6	-1.6
Wolfsberg	1594	33	+48	10	4.4	+5.6
SKN St. Polten	1545	20	+76	9	3.6	+5.4

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	LAS	MAT	RW	SA	SSP	SAL	SG	WOL
Admira Wacker	—	2-1-1 5.33	1-0-3 5.61	2-1-1 6.48	2-0-2 4.17	3-1-0 5.69	2-1-1 8.13	0-1-3 2.86	1-0-3 4.34	2-1-1 6.91
Austria Wien	1-1-2 5.81	—	1-1-2 5.75	1-0-3 6.81	0-2-2 4.91	2-0-2 6.54	2-0-2 8.32	1-2-1 2.60	2-0-2 4.72	2-1-1 7.18
LASK	3-0-1 5.53	2-1-1 5.39	—	1-1-2 6.91	0-0-4 4.76	3-1-0 6.42	4-0-0 7.98	1-2-1 2.83	1-0-3 4.48	2-1-1 7.03
Mattersburg	1-1-2 4.67	3-0-1 4.35	2-1-1 4.24	—	0-2-2 3.55	1-1-2 5.37	1-3-0 7.00	0-1-3 1.98	1-0-3 3.40	3-1-0 5.63
Rapid Wien	2-0-2 6.98	2-2-0 6.23	4-0-0 6.37	2-2-0 7.62	—	1-2-1 7.34	4-0-0 8.29	0-1-3 3.55	0-2-2 5.52	2-2-0 8.07
SCR Altach	0-1-3 5.44	2-0-2 4.60	0-1-3 4.72	2-1-1 5.77	1-2-1 3.83	—	3-0-1 7.56	0-0-4 2.55	0-2-2 3.44	2-1-1 6.57
SKN St. Polten	1-1-2 3.06	2-0-2 2.88	0-0-4 3.21	0-3-1 4.16	0-0-4 2.93	1-0-3 3.61	—	0-0-4 1.51	0-0-4 2.72	1-1-2 4.21
Salzburg	3-1-0 8.35	1-2-1 8.63	1-2-1 8.37	3-1-0 9.32	3-1-0 7.62	4-0-0 8.69	4-0-0 9.86	—	3-0-1 7.44	3-1-0 8.95
Sturm Graz	3-0-1 6.80	2-0-2 6.43	3-0-1 6.66	3-0-1 7.78	2-2-0 5.62	2-2-0 7.73	4-0-0 8.50	1-0-3 3.72	—	2-0-2 8.21
Wolfsberg	1-1-2 4.25	1-1-2 3.98	1-1-2 4.14	0-1-3 5.51	0-2-2 3.12	1-1-2 4.57	2-1-1 6.94	0-1-3 2.32	2-0-2 2.99	—

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	0.90	+10.1
Allowed	0.73	-11.7
Differential	0.97	+6.4

Scoreline Distribution

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

View:

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.89%	8.33%	6.39%	2.22%	1.11%	1.11%	28.06%
1	8.33%	5.56%	7.50%	4.17%	1.67%	1.94%	29.17%
2	6.39%	7.50%	6.11%	2.78%	2.22%	0.28%	25.28%
3	2.22%	4.17%	2.78%	—	—	—	9.17%
4	1.11%	1.67%	2.22%	—	—	—	5.00%
5+	1.11%	1.94%	0.28%	—	—	—	3.33%
Total	28.06%	29.17%	25.28%	9.17%	5.00%	3.33%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.44	1.44	+0.00
SD	1.32	1.32	1.94
CV	0.91	0.91	—
Max	6	6	+5
Min	0	0	-5

Games Played: 180

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	5.56%	8.33%	2.78%	—	—	22.22%
1	2.78%	8.33%	5.56%	2.78%	2.78%	5.56%	27.78%
2	2.78%	13.89%	2.78%	2.78%	2.78%	2.78%	27.78%
3	—	8.33%	2.78%	—	—	—	11.11%
4	—	2.78%	5.56%	—	—	—	8.33%
5+	2.78%	—	—	—	—	—	2.78%
Total	13.89%	38.89%	25.00%	8.33%	5.56%	8.33%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.64	1.83	-0.19
SD	1.33	1.56	2.16
CV	0.81	0.85	—
Max	5	6	+5
Min	0	0	-5

Games Played: 36

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.42	1.53	-0.11
SD	1.30	1.30	2.11
CV	0.91	0.85	—
Max	5	5	+4
Min	0	0	-5

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	8.33%	11.11%	—	—	—	27.78%
1	11.11%	2.78%	5.56%	8.33%	—	—	27.78%
2	11.11%	8.33%	5.56%	—	2.78%	—	27.78%
3	5.56%	8.33%	—	—	—	—	13.89%
4	—	—	2.78%	—	—	—	2.78%
5+	—	—	—	—	—	—	—
Total	36.11%	27.78%	25.00%	8.33%	2.78%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.36	1.14	+0.22
SD	1.13	1.10	1.62
CV	0.83	0.97	—
Max	4	4	+3
Min	0	0	-2

Games Played: 36

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

Summary Statistics

	Scored	Allowed	Difference
Mean	1.39	1.56	-0.17
SD	1.15	1.21	1.70
CV	0.83	0.78	—
Max	5	5	+4
Min	0	0	-5

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	11.11%	2.78%	—	—	—	—	13.89%
1	13.89%	5.56%	8.33%	2.78%	2.78%	—	33.33%
2	5.56%	5.56%	13.89%	2.78%	2.78%	—	30.56%
3	—	—	—	—	—	—	—
4	2.78%	8.33%	5.56%	—	—	—	16.67%
5+	2.78%	2.78%	—	—	—	—	5.56%
Total	36.11%	25.00%	27.78%	5.56%	5.56%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.89	1.19	+0.69
SD	1.45	1.17	1.79
CV	0.77	0.98	—
Max	5	4	+5
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	13.89%	13.89%	11.11%	—	—	—	38.89%
1	8.33%	2.78%	8.33%	8.33%	5.56%	—	33.33%
2	—	11.11%	5.56%	—	2.78%	—	19.44%
3	5.56%	—	2.78%	—	—	—	8.33%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	27.78%	27.78%	27.78%	8.33%	8.33%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.97	1.42	-0.44
SD	0.97	1.23	1.48
CV	1.00	0.87	—
Max	3	4	+3
Min	0	0	-3

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	5.56%	11.11%	5.56%	8.33%	5.56%	2.78%	38.89%
1	5.56%	8.33%	16.67%	5.56%	2.78%	8.33%	47.22%
2	5.56%	—	—	5.56%	—	—	11.11%
3	—	2.78%	—	—	—	—	2.78%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	16.67%	22.22%	22.22%	19.44%	8.33%	11.11%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.78	2.14	-1.36
SD	0.76	1.57	1.82
CV	0.98	0.73	—
Max	3	5	+2
Min	0	0	-5

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	5.56%	—	—	2.78%	—	16.67%
1	11.11%	8.33%	—	—	—	—	19.44%
2	13.89%	8.33%	5.56%	—	—	—	27.78%
3	—	8.33%	2.78%	—	—	—	11.11%
4	2.78%	5.56%	2.78%	—	—	—	11.11%
5+	5.56%	5.56%	2.78%	—	—	—	13.89%
Total	41.67%	41.67%	13.89%	—	2.78%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.25	0.81	+1.44
SD	1.70	0.89	1.84
CV	0.75	1.10	—
Max	6	4	+5
Min	0	0	-4

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	8.33%	8.33%	2.78%	—	—	2.78%	22.22%
1	8.33%	2.78%	8.33%	—	2.78%	—	22.22%
2	8.33%	8.33%	—	—	2.78%	—	19.44%
3	8.33%	2.78%	13.89%	—	—	—	25.00%
4	—	—	5.56%	—	—	—	5.56%
5+	—	5.56%	—	—	—	—	5.56%
Total	33.33%	27.78%	30.56%	—	5.56%	2.78%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.89	1.25	+0.64
SD	1.53	1.25	1.97
CV	0.81	1.00	—
Max	6	5	+5
Min	0	0	-5

Games Played: 36

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	19.44%	5.56%	16.67%	2.78%	—	—	44.44%
1	8.33%	—	11.11%	2.78%	—	5.56%	27.78%
2	2.78%	8.33%	5.56%	2.78%	5.56%	—	25.00%
3	—	2.78%	—	—	—	—	2.78%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	30.56%	16.67%	33.33%	8.33%	5.56%	5.56%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.86	1.58	-0.72
SD	0.90	1.44	1.50
CV	1.04	0.91	—
Max	3	5	+2
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	1958	83	76.75	+6.25	83.2%	54	65	72	77	82	88	98
Rapid Wien	1863	62	60.09	+1.91	62.1%	31	48	55	60	65	72	82
Sturm Graz	1840	70	61.58	+8.42	87.1%	38	48	56	62	67	74	83
LASK	1737	57	51.62	+5.38	80.2%	26	39	47	52	56	64	77
Austria Wien	1718	43	52.73	-9.73	12.7%	30	40	47	53	58	66	81
Mattersburg	1684	46	40.21	+5.79	79.0%	13	28	35	40	45	53	67
Admira Wacker	1673	51	49.77	+1.23	60.2%	25	38	45	50	55	62	77
SCR Altach	1622	38	44.43	-6.43	22.2%	21	31	39	45	50	57	70
Wolfsberg	1594	33	37.54	-4.54	30.1%	8	26	32	37	43	50	62
SKN St. Polten	1545	20	28.47	-8.47	10.3%	10	17	24	29	33	39	49

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

+15.00%

Clear Edge

47.22%20.56%32.22%

Elo Value

Home Edge

192 Elo

0.005 goals per Elo point

052.51500

Scoring Tilt

Expected

+0.30 goals

Neutral

-2+0.27+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

1.3

One-Team Race

124610

Champion Preseason Odds

86%

Salzburg, 1st of 10

LongshotFavorite

Title Margin

Expected

0.36/gm

Tight Race

00.320.5/gm

Simulation-Based Surprises

How these are measured

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

Luck Spread: Standard deviation of the gap between each team's actual points and their simulated average points. The gold line is the spread the model expected from chance alone.
As Expected: under 5.92 * Some Luck: 5.92 to 8.88 * Lucky: 8.88 to 11.84 * Wild Swing: 11.84 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 0.85 * Close: 0.85 to 1.28 * Off: 1.28 to 1.7 * Way Off: 1.7 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

6.37 points

Some Luck

07.4019

Average Finish Error

Expected

0.80

Pinpoint

01.062.5

Biggest Overachiever

Expected 95.00%

87.10%

Sturm Graz

50100

Biggest Underachiever

Expected 5.00%

10.30%

SKN St. Polten

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

0.20

Top-Heavy

00.120.180.260.5

Noll-Scully

Coin-flip

2.06

Strong Separation

01.003

Interquartile Edge

74%

Clear Edge

50%60%70%80%100%

Best vs. Worst

Baseline

92%

Strong Edge

50%92%100%

Close Games

Expected

58%

Very Frequent

0%56%100%

Blowouts

Expected

17%

Frequent

0%20%100%

Predictability

How these are measured

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

Brier Score: How close the pregame probabilities landed to the actual result, averaged over the season. Confident, correct calls are rewarded most; confident misses are punished most. Lower is better; since draws are possible, a score under 0.66 beats guessing the base rate.
Highly Predictable: under 0.56 * Predictable: 0.56 to 0.62 * Hard to Predict: 0.62 to 0.66 * Coin-Flip: 0.66 and up.
Matchup Imbalance: How lopsided the matchups were on paper, averaging the gap between the two win probabilities over their sum. 0 means every match was a toss-up; 1 means every match was a heavy favorite against a big underdog.
Very Even: under 0.1 * 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

0.57

Predictable

00.582

Matchup Imbalance

0.39

Lopsided

00.10.180.280.5

Strangeness

Expected

0.75

Very Predictable

01.002

Repeatability

0.56

Some Carryover

00.30.60.851

Upset Rate

Expected

22%

Chalky

0%24%50%

Clear Favorite Upset Rate

Expected

17%

As Expected

0%20%50%

Calibration

How these are measured

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

Probability calibration: An all-in-one chi-square test of the model's probabilities. Matches are grouped by how confident the model was, and within each group the predicted and actual counts of home wins, draws, and away wins are compared. The p-value is plotted; above 0.05 means well-calibrated.
Miscalibrated: under 0.05 * Borderline: 0.05 to 0.1 * Well Calibrated: 0.1 to 0.5 * Excellent: 0.5 and up.
Calibration slope: Checks whether the spread of the probabilities is right. Each probability is turned into log-odds and a line is fit predicting the actual results. A slope of 1.00 is perfect; below 1 is overconfidence (favorites lost more than their odds implied); above 1 is under-confidence.
Overconfident: under 0.85 * Calibrated: 0.85 to 1.15 * Underconfident: 1.15 to 1.3 * Very Underconfident: 1.3 and up.
Calibration error (ECE): The average gap between the model's stated chances and how often the predicted result actually happened. Smaller is better. The gold line is the noise ceiling, the error luck alone can produce even with perfect probabilities; below it, the model's error is no larger than chance.
Well Within Noise: under 0.13 * Near Noise Ceiling: 0.13 to 0.19 * Above Noise: 0.19 to 0.25 * Well Above Noise: 0.25 and up.

Probability calibration

0.66

Excellent

0.010.050.10.51

Calibration slope

Ideal

1.01

Calibrated

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.075

Well Within Noise

00.1260.3

Final Table Odds

Each cell is the probability — across 100,000 simulations — that the team (row) finished at that position (column). Rows are sorted by actual finish (champion at top, bottom of the table at the bottom).

Team	1	2	3	4	5	6	7	8	9	10
Salzburg	86.00%	11.30%	2.00%	0.50%	0.20%	—	—	—	—	—
Sturm Graz	8.00%	38.20%	25.60%	13.90%	7.50%	3.90%	2.10%	0.70%	0.10%	—
Rapid Wien	4.60%	32.30%	29.50%	17.00%	8.20%	5.50%	2.00%	0.60%	0.20%	0.10%
LASK	0.50%	5.10%	12.80%	21.10%	21.30%	18.70%	11.00%	6.80%	2.30%	0.40%
Admira Wacker	0.10%	3.50%	9.30%	15.10%	21.80%	20.50%	16.20%	8.90%	4.00%	0.60%
Mattersburg	—	0.20%	1.10%	3.90%	6.50%	10.60%	19.80%	28.00%	20.20%	9.70%
Austria Wien	0.80%	8.40%	16.00%	20.30%	19.10%	16.20%	10.70%	6.60%	1.70%	0.20%
SCR Altach	—	0.90%	3.30%	7.00%	11.60%	17.80%	22.80%	18.80%	13.80%	4.00%
Wolfsberg	—	0.10%	0.40%	1.20%	3.70%	6.50%	14.00%	23.50%	37.70%	12.90%
SKN St. Polten	—	—	—	—	0.10%	0.30%	1.40%	6.10%	20.00%	72.10%

Points Required Per Position

The empirical CDF of simulated point totals per finishing position. Each curve shows, for one position (1st, 2nd, ..., last), the spread of point totals teams accumulated across simulations. Reading the curve at the 50% mark gives the median points typically needed to finish at that position. Steep curves mean the position is tightly clustered around a particular point range; shallow curves mean the position came with a wide variety of point totals.

Next-Season Status

Across 100,000 regular-season simulations, the probability of each team's next-season status. Columns appear in best-to-worst outcome order: promotion-positive on the left, relegation-positive on the right. Cells with darker shading indicate higher likelihood.

Team	Same level	Lost relegation playoff
Salzburg	100%	—
Sturm Graz	100%	—
Rapid Wien	99.90%	0.10%
Austria Wien	99.80%	0.20%
LASK	99.60%	0.40%
Admira Wacker	99.40%	0.60%
SCR Altach	96.00%	4.00%
Mattersburg	90.30%	9.70%
Wolfsberg	87.10%	12.90%
SKN St. Polten	—	100%

Filter by Team:

Overall Game Log

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

Date	Opponent	Score	Excitement	Pre Elo	Opp Elo	Win %	Tie %	Loss %	Proj. Margin	Elo Δ	Points
2017-07-22	Admira Wacker	W 3-0	51.8	1687	1681	47.20%	21.64%	31.16%	+0.30	+24.3	3
2017-07-22	@ LASK	L 0-3	51.8	1681	1687	31.16%	21.64%	47.20%	-0.30	-24.4	0
2017-07-22	Mattersburg	D 2-2	79.1	1754	1662	57.65%	20.86%	21.49%	+0.75	-1.6	1
2017-07-22	@ Rapid Wien	D 2-2	79.1	1662	1754	21.49%	20.86%	57.65%	-0.75	+1.6	1
2017-07-22	Salzburg	L 0-2	52.7	1686	1861	23.66%	21.12%	55.22%	-0.64	-13.3	0
2017-07-22	@ Wolfsberg	W 2-0	52.7	1861	1686	55.22%	21.12%	23.66%	+0.64	+13.3	3
2017-07-23	Austria Wien	W 3-0	56.1	1703	1784	35.10%	21.76%	43.14%	-0.15	+31.6	3
2017-07-23	@ SCR Altach	L 0-3	56.1	1784	1703	43.14%	21.76%	35.10%	+0.15	-31.6	0
2017-07-23	SKN St. Polten	W 3-2	65.8	1745	1671	55.70%	21.07%	23.23%	+0.66	+6.2	3
2017-07-23	@ Sturm Graz	L 2-3	65.8	1671	1745	23.23%	21.07%	55.70%	-0.66	-6.2	0
2017-07-29	LASK	D 1-1	74.5	1874	1711	64.65%	19.79%	15.55%	+1.12	-3.0	4
2017-07-29	@ Salzburg	D 1-1	74.5	1711	1874	15.55%	19.79%	64.65%	-1.12	+3.0	4
2017-07-29	Rapid Wien	L 1-4	58.1	1664	1753	34.09%	21.74%	44.17%	-0.19	-22.1	0
2017-07-29	@ SKN St. Polten	W 4-1	58.1	1753	1664	44.17%	21.74%	34.09%	+0.19	+22.1	4
2017-07-29	Wolfsberg	W 1-0	58.1	1664	1672	45.28%	21.71%	33.01%	+0.23	+9.3	4
2017-07-29	@ Mattersburg	L 0-1	58.1	1672	1664	33.01%	21.71%	45.28%	-0.23	-9.3	0
2017-07-30	SCR Altach	W 4-1	60.5	1657	1734	35.58%	21.77%	42.65%	-0.13	+26.4	3
2017-07-30	@ Admira Wacker	L 1-4	60.5	1734	1657	42.65%	21.77%	35.58%	+0.13	-26.4	3
2017-07-30	Sturm Graz	L 2-3	73.3	1752	1751	46.53%	21.67%	31.80%	+0.28	-11.0	0
2017-07-30	@ Austria Wien	W 3-2	73.3	1751	1752	31.80%	21.67%	46.53%	-0.28	+11.0	6
2017-08-05	Admira Wacker	W 5-1	50.2	1871	1683	66.83%	19.34%	13.84%	+1.25	+12.7	7
2017-08-05	@ Salzburg	L 1-5	50.2	1683	1871	13.84%	19.34%	66.83%	-1.25	-12.8	3
2017-08-05	SKN St. Polten	W 2-0	51.6	1715	1642	55.42%	21.10%	23.48%	+0.65	+13.2	7
2017-08-05	@ LASK	L 0-2	51.6	1642	1715	23.48%	21.10%	55.42%	-0.65	-13.2	0
2017-08-06	Austria Wien	D 2-2	79.3	1775	1741	50.79%	21.46%	27.75%	+0.45	-1.0	5
2017-08-06	@ Rapid Wien	D 2-2	79.3	1741	1775	27.75%	21.46%	50.79%	-0.45	+1.0	1
2017-08-06	SCR Altach	W 1-0	59.9	1663	1708	40.17%	21.80%	38.03%	+0.04	+10.4	3
2017-08-06	@ Wolfsberg	L 0-1	59.9	1708	1663	38.03%	21.80%	40.17%	-0.04	-10.4	3
2017-08-06	Sturm Graz	L 2-3	69.3	1673	1762	33.98%	21.74%	44.28%	-0.19	-8.5	4
2017-08-06	@ Mattersburg	W 3-2	69.3	1762	1673	44.28%	21.74%	33.98%	+0.19	+8.5	9
2017-08-12	LASK	W 2-0	54.5	1742	1728	48.34%	21.59%	30.06%	+0.35	+16.3	4
2017-08-12	@ Austria Wien	L 0-2	54.5	1728	1742	30.06%	21.59%	48.34%	-0.35	-16.3	7
2017-08-12	Mattersburg	D 0-0	67.9	1629	1665	41.51%	21.79%	36.70%	+0.09	-0.3	1
2017-08-12	@ SKN St. Polten	D 0-0	67.9	1665	1629	36.70%	21.79%	41.51%	-0.09	+0.3	5
2017-08-12	Salzburg	L 0-1	56.0	1698	1884	22.54%	20.99%	56.46%	-0.70	-6.8	3
2017-08-12	@ SCR Altach	W 1-0	56.0	1884	1698	56.46%	20.99%	22.54%	+0.70	+6.7	10
2017-08-12	Wolfsberg	W 2-1	60.2	1771	1673	58.23%	20.79%	20.98%	+0.78	+6.0	12
2017-08-12	@ Sturm Graz	L 1-2	60.2	1673	1771	20.98%	20.79%	58.23%	-0.78	-6.0	3
2017-08-13	Rapid Wien	W 3-1	64.7	1671	1774	32.13%	21.68%	46.19%	-0.26	+20.0	6
2017-08-13	@ Admira Wacker	L 1-3	64.7	1774	1671	46.19%	21.68%	32.13%	+0.26	-19.9	5
2017-08-19	Admira Wacker	W 2-0	55.3	1667	1691	43.26%	21.76%	34.98%	+0.15	+18.4	6
2017-08-19	@ Wolfsberg	L 0-2	55.3	1691	1667	34.98%	21.76%	43.26%	-0.15	-18.4	6
2017-08-19	Sturm Graz	L 1-2	67.5	1754	1777	43.28%	21.76%	34.96%	+0.15	-10.9	5
2017-08-19	@ Rapid Wien	W 2-1	67.5	1777	1754	34.96%	21.76%	43.28%	-0.15	+10.9	15
2017-08-20	Austria Wien	L 1-3	60.8	1665	1759	33.41%	21.72%	44.87%	-0.21	-15.4	5
2017-08-20	@ Mattersburg	W 3-1	60.8	1759	1665	44.87%	21.72%	33.41%	+0.21	+15.4	7
2017-08-20	SCR Altach	D 0-0	69.1	1711	1691	49.13%	21.56%	29.32%	+0.38	-1.3	8
2017-08-20	@ LASK	D 0-0	69.1	1691	1711	29.32%	21.56%	49.13%	-0.38	+1.3	4
2017-08-20	SKN St. Polten	W 5-1	48.4	1891	1629	72.44%	17.80%	9.75%	+1.64	+8.9	13
2017-08-20	@ Salzburg	L 1-5	48.4	1629	1891	9.75%	17.80%	72.44%	-1.64	-8.9	1
2017-08-26	LASK	W 1-0	57.3	1743	1710	50.69%	21.47%	27.84%	+0.44	+8.1	8
2017-08-26	@ Rapid Wien	L 0-1	57.3	1710	1743	27.84%	21.47%	50.69%	-0.44	-8.1	8
2017-08-26	SKN St. Polten	W 2-1	60.1	1686	1620	54.70%	21.16%	24.13%	+0.62	+6.8	9
2017-08-26	@ Wolfsberg	L 1-2	60.1	1620	1686	24.13%	21.16%	54.70%	-0.62	-6.8	1
2017-08-27	Austria Wien	L 1-3	60.5	1672	1774	32.33%	21.69%	45.98%	-0.26	-15.0	6
2017-08-27	@ Admira Wacker	W 3-1	60.5	1774	1672	45.98%	21.69%	32.33%	+0.26	+15.0	10
2017-08-27	Mattersburg	W 1-0	56.2	1692	1650	51.89%	21.39%	26.72%	+0.49	+7.8	7
2017-08-27	@ SCR Altach	L 0-1	56.2	1650	1692	26.72%	21.39%	51.89%	-0.49	-7.8	5
2017-08-27	Salzburg	W 1-0	63.7	1788	1900	31.02%	21.64%	47.34%	-0.31	+12.5	18
2017-08-27	@ Sturm Graz	L 0-1	63.7	1900	1788	47.34%	21.64%	31.02%	+0.31	-12.5	13
2017-09-09	Admira Wacker	L 0-5	54.9	1642	1657	44.33%	21.74%	33.94%	+0.19	-52.0	5
2017-09-09	@ Mattersburg	W 5-0	54.9	1657	1642	33.94%	21.74%	44.33%	-0.19	+52.0	9
2017-09-09	SCR Altach	L 1-2	63.4	1613	1700	34.30%	21.75%	43.95%	-0.18	-9.1	1
2017-09-09	@ SKN St. Polten	W 2-1	63.4	1700	1613	43.95%	21.75%	34.30%	+0.18	+9.1	10
2017-09-09	Sturm Graz	W 2-1	68.0	1702	1800	32.79%	21.70%	45.51%	-0.24	+11.4	11
2017-09-09	@ LASK	L 1-2	68.0	1800	1702	45.51%	21.70%	32.79%	+0.24	-11.4	18
2017-09-09	Wolfsberg	D 2-2	79.4	1789	1693	58.09%	20.81%	21.10%	+0.77	-1.7	11
2017-09-09	@ Austria Wien	D 2-2	79.4	1693	1789	21.10%	20.81%	58.09%	-0.77	+1.7	10
2017-09-10	Rapid Wien	D 2-2	79.9	1887	1751	62.16%	20.24%	17.60%	+0.98	-2.0	14
2017-09-10	@ Salzburg	D 2-2	79.9	1751	1887	17.60%	20.24%	62.16%	-0.98	+2.0	9
2017-09-16	LASK	D 0-0	69.0	1694	1713	43.81%	21.75%	34.44%	+0.17	-0.6	11
2017-09-16	@ Wolfsberg	D 0-0	69.0	1713	1694	34.44%	21.75%	43.81%	-0.17	+0.6	12
2017-09-16	Rapid Wien	D 2-2	79.0	1709	1753	40.30%	21.80%	37.91%	+0.04	-0.1	11
2017-09-16	@ SCR Altach	D 2-2	79.0	1753	1709	37.91%	21.80%	40.30%	-0.04	+0.1	10
2017-09-16	Sturm Graz	W 2-1	67.3	1709	1789	35.28%	21.77%	42.96%	-0.14	+10.8	12
2017-09-16	@ Admira Wacker	L 1-2	67.3	1789	1709	42.96%	21.77%	35.28%	+0.14	-10.8	18
2017-09-17	Salzburg	L 1-2	57.7	1590	1885	13.67%	19.29%	67.04%	-1.26	-4.0	5
2017-09-17	@ Mattersburg	W 2-1	57.7	1885	1590	67.04%	19.29%	13.67%	+1.26	+4.0	17
2017-09-17	SKN St. Polten	W 5-1	49.6	1787	1604	66.43%	19.43%	14.15%	+1.23	+13.0	14
2017-09-17	@ Austria Wien	L 1-5	49.6	1604	1787	14.15%	19.43%	66.43%	-1.23	-13.0	1
2017-09-23	Admira Wacker	D 1-1	72.5	1591	1720	28.90%	21.53%	49.57%	-0.40	+1.2	2
2017-09-23	@ SKN St. Polten	D 1-1	72.5	1720	1591	49.57%	21.53%	28.90%	+0.40	-1.2	13
2017-09-23	Mattersburg	D 2-2	78.2	1714	1586	61.39%	20.36%	18.25%	+0.94	-2.0	13
2017-09-23	@ LASK	D 2-2	78.2	1586	1714	18.25%	20.36%	61.39%	-0.94	+2.0	6
2017-09-23	SCR Altach	D 0-0	69.6	1778	1709	55.07%	21.13%	23.80%	+0.63	-2.1	19
2017-09-23	@ Sturm Graz	D 0-0	69.6	1709	1778	23.80%	21.13%	55.07%	-0.63	+2.1	12
2017-09-23	Wolfsberg	W 4-2	62.2	1753	1694	53.95%	21.23%	24.82%	+0.58	+10.7	13
2017-09-23	@ Rapid Wien	L 2-4	62.2	1694	1753	24.82%	21.23%	53.95%	-0.58	-10.7	11
2017-09-24	Austria Wien	D 0-0	70.1	1889	1800	57.30%	20.90%	21.80%	+0.74	-2.4	18
2017-09-24	@ Salzburg	D 0-0	70.1	1800	1889	21.80%	20.90%	57.30%	-0.74	+2.4	15
2017-09-30	LASK	W 4-2	64.1	1719	1712	47.33%	21.64%	31.03%	+0.31	+12.9	16
2017-09-30	@ Admira Wacker	L 2-4	64.1	1712	1719	31.03%	21.64%	47.33%	-0.31	-12.9	13
2017-09-30	Rapid Wien	L 0-1	55.2	1588	1764	23.58%	21.11%	55.31%	-0.64	-7.0	6
2017-09-30	@ Mattersburg	W 1-0	55.2	1764	1588	55.31%	21.11%	23.58%	+0.64	+7.0	16
2017-09-30	Sturm Graz	L 0-3	49.1	1592	1776	22.81%	21.02%	56.17%	-0.68	-18.7	2
2017-09-30	@ SKN St. Polten	W 3-0	49.1	1776	1592	56.17%	21.02%	22.81%	+0.68	+18.7	22
2017-10-01	SCR Altach	W 2-0	51.9	1803	1711	57.59%	20.87%	21.54%	+0.75	+12.2	18
2017-10-01	@ Austria Wien	L 0-2	51.9	1711	1803	21.54%	20.87%	57.59%	-0.75	-12.2	12
2017-10-01	Wolfsberg	W 2-1	57.6	1887	1683	68.13%	19.03%	12.84%	+1.33	+3.7	21
2017-10-01	@ Salzburg	L 1-2	57.6	1683	1887	12.84%	19.03%	68.13%	-1.33	-3.7	11
2017-10-14	Admira Wacker	D 2-2	78.9	1699	1732	41.87%	21.78%	36.35%	+0.10	-0.2	13
2017-10-14	@ SCR Altach	D 2-2	78.9	1732	1699	36.35%	21.78%	41.87%	-0.10	+0.2	17
2017-10-14	Mattersburg	D 2-2	77.4	1679	1581	58.33%	20.78%	20.89%	+0.79	-1.7	12
2017-10-14	@ Wolfsberg	D 2-2	77.4	1581	1679	20.89%	20.78%	58.33%	-0.79	+1.7	7
2017-10-14	Salzburg	L 1-3	57.7	1699	1891	22.05%	20.93%	57.02%	-0.72	-10.8	13
2017-10-14	@ LASK	W 3-1	57.7	1891	1699	57.02%	20.93%	22.05%	+0.72	+10.8	24
2017-10-14	SKN St. Polten	W 1-0	51.5	1771	1574	67.62%	19.15%	13.23%	+1.30	+4.1	19
2017-10-14	@ Rapid Wien	L 0-1	51.5	1574	1771	13.23%	19.15%	67.62%	-1.30	-4.1	2
2017-10-15	Austria Wien	W 3-0	53.9	1795	1815	43.68%	21.75%	34.57%	+0.17	+26.5	25
2017-10-15	@ Sturm Graz	L 0-3	53.9	1815	1795	34.57%	21.75%	43.68%	-0.17	-26.5	18
2017-10-21	LASK	L 0-1	56.1	1569	1688	30.15%	21.60%	48.25%	-0.35	-8.7	2
2017-10-21	@ SKN St. Polten	W 1-0	56.1	1688	1569	48.25%	21.60%	30.15%	+0.35	+8.7	16
2017-10-21	Mattersburg	W 3-2	61.2	1821	1582	70.80%	18.31%	10.89%	+1.51	+3.0	28
2017-10-21	@ Sturm Graz	L 2-3	61.2	1582	1821	10.89%	18.31%	70.80%	-1.51	-3.0	7
2017-10-21	Wolfsberg	W 3-2	67.4	1699	1678	49.18%	21.55%	29.27%	+0.38	+7.5	16
2017-10-21	@ SCR Altach	L 2-3	67.4	1678	1699	29.27%	21.55%	49.18%	-0.38	-7.5	12
2017-10-22	Rapid Wien	L 0-1	63.8	1788	1775	48.17%	21.60%	30.23%	+0.34	-12.7	18
2017-10-22	@ Austria Wien	W 1-0	63.8	1775	1788	30.23%	21.60%	48.17%	-0.34	+12.7	22
2017-10-22	Salzburg	D 1-1	74.2	1732	1901	24.31%	21.18%	54.50%	-0.61	+1.8	18
2017-10-22	@ Admira Wacker	D 1-1	74.2	1901	1732	54.50%	21.18%	24.31%	+0.61	-1.8	25
2017-10-28	Admira Wacker	W 1-0	56.8	1788	1734	53.27%	21.29%	25.44%	+0.55	+7.5	25
2017-10-28	@ Rapid Wien	L 0-1	56.8	1734	1788	25.44%	21.29%	53.27%	-0.55	-7.5	18
2017-10-28	Austria Wien	D 2-2	79.1	1697	1776	35.41%	21.77%	42.82%	-0.14	+0.3	17
2017-10-28	@ LASK	D 2-2	79.1	1776	1697	42.82%	21.77%	35.41%	+0.14	-0.3	19
2017-10-28	SCR Altach	W 2-0	49.2	1900	1706	67.29%	19.23%	13.48%	+1.28	+7.9	28
2017-10-28	@ Salzburg	L 0-2	49.2	1706	1900	13.48%	19.23%	67.29%	-1.28	-7.8	16
2017-10-28	SKN St. Polten	D 1-1	69.1	1579	1561	48.87%	21.57%	29.56%	+0.37	-1.1	8
2017-10-28	@ Mattersburg	D 1-1	69.1	1561	1579	29.56%	21.57%	48.87%	-0.37	+1.1	3
2017-10-29	Sturm Graz	L 0-2	53.3	1670	1824	25.97%	21.33%	52.70%	-0.53	-14.4	12
2017-10-29	@ Wolfsberg	W 2-0	53.3	1824	1670	52.70%	21.33%	25.97%	+0.53	+14.4	31
2017-11-04	LASK	L 2-4	68.5	1698	1697	46.55%	21.67%	31.78%	+0.28	-18.0	16
2017-11-04	@ SCR Altach	W 4-2	68.5	1697	1698	31.78%	21.67%	46.55%	-0.28	+18.0	20
2017-11-04	Rapid Wien	D 0-0	69.9	1839	1795	51.99%	21.38%	26.63%	+0.50	-1.7	32
2017-11-04	@ Sturm Graz	D 0-0	69.9	1795	1839	26.63%	21.38%	51.99%	-0.50	+1.7	26
2017-11-04	Wolfsberg	D 0-0	69.0	1726	1656	55.25%	21.11%	23.64%	+0.64	-2.1	19
2017-11-04	@ Admira Wacker	D 0-0	69.0	1656	1726	23.64%	21.11%	55.25%	-0.64	+2.1	13
2017-11-05	Mattersburg	L 1-3	69.7	1775	1578	67.58%	19.16%	13.26%	+1.30	-28.1	19
2017-11-05	@ Austria Wien	W 3-1	69.7	1578	1775	13.26%	19.16%	67.58%	-1.30	+28.2	11
2017-11-05	Salzburg	L 1-3	53.2	1562	1907	10.80%	18.27%	70.93%	-1.52	-5.4	3
2017-11-05	@ SKN St. Polten	W 3-1	53.2	1907	1562	70.93%	18.27%	10.80%	+1.52	+5.4	31
2017-11-18	Admira Wacker	L 2-3	74.0	1747	1724	49.43%	21.54%	29.03%	+0.39	-11.6	19
2017-11-18	@ Austria Wien	W 3-2	74.0	1724	1747	29.03%	21.54%	49.43%	-0.39	+11.6	22
2017-11-18	Rapid Wien	L 1-2	64.9	1715	1797	35.01%	21.76%	43.23%	-0.15	-9.2	20
2017-11-18	@ LASK	W 2-1	64.9	1797	1715	43.23%	21.76%	35.01%	+0.15	+9.2	29
2017-11-18	SCR Altach	W 1-0	60.2	1606	1680	36.08%	21.78%	42.14%	-0.11	+11.3	14
2017-11-18	@ Mattersburg	L 0-1	60.2	1680	1606	42.14%	21.78%	36.08%	+0.11	-11.3	16
2017-11-18	Wolfsberg	D 0-0	66.6	1556	1658	32.39%	21.69%	45.91%	-0.25	+0.9	4
2017-11-18	@ SKN St. Polten	D 0-0	66.6	1658	1556	45.91%	21.69%	32.39%	+0.25	-0.9	14
2017-11-19	Sturm Graz	W 5-0	50.1	1913	1837	55.85%	21.06%	23.10%	+0.67	+30.4	34
2017-11-19	@ Salzburg	L 0-5	50.1	1837	1913	23.10%	21.06%	55.85%	-0.67	-30.4	32
2017-11-25	LASK	W 1-0	55.2	1807	1706	58.55%	20.75%	20.70%	+0.80	+6.2	35
2017-11-25	@ Sturm Graz	L 0-1	55.2	1706	1807	20.70%	20.75%	58.55%	-0.80	-6.2	20
2017-11-25	Mattersburg	W 2-0	50.1	1736	1618	60.37%	20.51%	19.12%	+0.89	+11.0	25
2017-11-25	@ Admira Wacker	L 0-2	50.1	1618	1736	19.12%	20.51%	60.37%	-0.89	-11.0	14
2017-11-25	SKN St. Polten	W 3-0	46.2	1669	1557	59.71%	20.60%	19.68%	+0.85	+16.3	19
2017-11-25	@ SCR Altach	L 0-3	46.2	1557	1669	19.68%	20.60%	59.71%	-0.85	-16.3	4
2017-11-26	Austria Wien	L 1-2	64.5	1657	1736	35.40%	21.77%	42.83%	-0.14	-9.3	14
2017-11-26	@ Wolfsberg	W 2-1	64.5	1736	1657	42.83%	21.77%	35.40%	+0.14	+9.3	22
2017-11-26	Salzburg	L 2-3	68.1	1806	1943	27.93%	21.47%	50.60%	-0.44	-7.3	29
2017-11-26	@ Rapid Wien	W 3-2	68.1	1943	1806	50.60%	21.47%	27.93%	+0.44	+7.3	37
2017-11-28	Admira Wacker	W 6-1	53.1	1813	1747	54.70%	21.16%	24.14%	+0.62	+26.2	38
2017-11-28	@ Sturm Graz	L 1-6	53.1	1747	1813	24.14%	21.16%	54.70%	-0.62	-26.2	25
2017-11-29	Austria Wien	W 1-0	64.8	1541	1745	20.85%	20.77%	58.38%	-0.79	+15.0	7
2017-11-29	@ SKN St. Polten	L 0-1	64.8	1745	1541	58.38%	20.77%	20.85%	+0.79	-15.0	22
2017-11-29	Mattersburg	W 2-0	46.0	1951	1607	77.50%	15.90%	6.59%	+2.06	+3.7	40
2017-11-29	@ Salzburg	L 0-2	46.0	1607	1951	6.59%	15.90%	77.50%	-2.06	-3.7	14
2017-11-29	SCR Altach	L 1-2	71.9	1799	1685	59.91%	20.58%	19.51%	+0.86	-14.5	29
2017-11-29	@ Rapid Wien	W 2-1	71.9	1685	1799	19.51%	20.58%	59.91%	-0.86	+14.5	22
2017-11-29	Wolfsberg	W 2-0	52.3	1700	1648	53.07%	21.30%	25.63%	+0.54	+14.2	23
2017-11-29	@ LASK	L 0-2	52.3	1648	1700	25.63%	21.30%	53.07%	-0.54	-14.2	14
2017-12-02	LASK	W 1-0	62.1	1603	1714	31.14%	21.64%	47.21%	-0.30	+12.5	17
2017-12-02	@ Mattersburg	L 0-1	62.1	1714	1603	47.21%	21.64%	31.14%	+0.30	-12.5	23
2017-12-02	Rapid Wien	D 0-0	69.2	1633	1784	26.32%	21.36%	52.32%	-0.51	+1.7	15
2017-12-02	@ Wolfsberg	D 0-0	69.2	1784	1633	52.32%	21.36%	26.32%	+0.51	-1.7	30
2017-12-02	SKN St. Polten	W 1-0	51.5	1721	1556	64.81%	19.76%	15.43%	+1.13	+4.8	28
2017-12-02	@ Admira Wacker	L 0-1	51.5	1556	1721	15.43%	19.76%	64.81%	-1.13	-4.8	7
2017-12-02	Sturm Graz	L 1-2	62.7	1700	1839	27.70%	21.46%	50.84%	-0.45	-7.6	22
2017-12-02	@ SCR Altach	W 2-1	62.7	1839	1700	50.84%	21.46%	27.70%	+0.45	+7.6	41
2017-12-03	Salzburg	D 1-1	74.4	1730	1954	19.00%	20.49%	60.51%	-0.89	+2.5	23
2017-12-03	@ Austria Wien	D 1-1	74.4	1954	1730	60.51%	20.49%	19.00%	+0.89	-2.5	41
2017-12-09	Admira Wacker	W 2-1	64.6	1702	1725	43.16%	21.76%	35.07%	+0.15	+9.2	26
2017-12-09	@ LASK	L 1-2	64.6	1725	1702	35.07%	21.76%	43.16%	-0.15	-9.2	28
2017-12-09	Mattersburg	D 2-2	79.3	1783	1615	65.04%	19.72%	15.25%	+1.14	-2.3	31
2017-12-09	@ Rapid Wien	D 2-2	79.3	1615	1783	15.25%	19.72%	65.04%	-1.14	+2.3	18
2017-12-09	SKN St. Polten	W 3-2	60.0	1847	1551	74.63%	17.05%	8.32%	+1.81	+2.3	44
2017-12-09	@ Sturm Graz	L 2-3	60.0	1551	1847	8.32%	17.05%	74.63%	-1.81	-2.3	7
2017-12-10	Austria Wien	W 1-0	60.1	1692	1732	40.86%	21.79%	37.34%	+0.06	+10.3	25
2017-12-10	@ SCR Altach	L 0-1	60.1	1732	1692	37.34%	21.79%	40.86%	-0.06	-10.3	23
2017-12-10	Salzburg	D 0-0	70.5	1635	1952	12.38%	18.87%	68.75%	-1.37	+4.0	16
2017-12-10	@ Wolfsberg	D 0-0	70.5	1952	1635	68.75%	18.87%	12.38%	+1.37	-4.0	42
2017-12-16	LASK	D 0-0	70.8	1948	1711	70.67%	18.35%	10.98%	+1.51	-4.2	43
2017-12-16	@ Salzburg	D 0-0	70.8	1711	1948	10.98%	18.35%	70.67%	-1.51	+4.2	27
2017-12-16	Rapid Wien	L 0-5	47.0	1549	1780	18.41%	20.39%	61.20%	-0.93	-24.8	7
2017-12-16	@ SKN St. Polten	W 5-0	47.0	1780	1549	61.20%	20.39%	18.41%	+0.93	+24.8	34
2017-12-16	SCR Altach	W 3-1	59.7	1716	1703	48.22%	21.60%	30.18%	+0.34	+14.1	31
2017-12-16	@ Admira Wacker	L 1-3	59.7	1703	1716	30.18%	21.60%	48.22%	-0.34	-14.1	25
2017-12-16	Wolfsberg	W 5-1	54.9	1618	1639	43.53%	21.75%	34.72%	+0.16	+29.0	21
2017-12-16	@ Mattersburg	L 1-5	54.9	1639	1618	34.72%	21.75%	43.53%	-0.16	-29.0	16
2017-12-17	Sturm Graz	W 1-0	64.1	1722	1849	29.18%	21.55%	49.27%	-0.39	+12.9	26
2017-12-17	@ Austria Wien	L 0-1	64.1	1849	1722	49.27%	21.55%	29.18%	+0.39	-12.9	44
2018-02-03	Admira Wacker	W 2-1	57.5	1944	1730	68.88%	18.84%	12.28%	+1.38	+3.6	46
2018-02-03	@ Salzburg	L 1-2	57.5	1730	1944	12.28%	18.84%	68.88%	-1.38	-3.6	31
2018-02-03	SCR Altach	D 0-0	68.0	1610	1688	35.46%	21.77%	42.77%	-0.13	+0.5	17
2018-02-03	@ Wolfsberg	D 0-0	68.0	1688	1610	42.77%	21.77%	35.46%	+0.13	-0.5	26
2018-02-03	SKN St. Polten	W 2-1	55.3	1715	1524	67.06%	19.28%	13.66%	+1.26	+4.0	30
2018-02-03	@ LASK	L 1-2	55.3	1524	1715	13.66%	19.28%	67.06%	-1.26	-4.0	7
2018-02-03	Sturm Graz	W 1-0	65.9	1647	1836	22.27%	20.96%	56.77%	-0.71	+14.7	24
2018-02-03	@ Mattersburg	L 0-1	65.9	1836	1647	56.77%	20.96%	22.27%	+0.71	-14.7	44
2018-02-04	Austria Wien	D 1-1	74.0	1805	1735	55.17%	21.12%	23.71%	+0.64	-1.9	35
2018-02-04	@ Rapid Wien	D 1-1	74.0	1735	1805	23.71%	21.12%	55.17%	-0.64	+1.9	27
2018-02-10	LASK	L 1-3	65.5	1737	1719	48.78%	21.57%	29.64%	+0.37	-20.9	27
2018-02-10	@ Austria Wien	W 3-1	65.5	1719	1737	29.64%	21.57%	48.78%	-0.37	+20.9	33
2018-02-10	Mattersburg	L 0-3	47.8	1520	1661	27.46%	21.44%	51.10%	-0.46	-21.9	7
2018-02-10	@ SKN St. Polten	W 3-0	47.8	1661	1520	51.10%	21.44%	27.46%	+0.46	+21.9	27
2018-02-10	Salzburg	L 0-1	53.8	1688	1947	16.19%	19.94%	63.87%	-1.07	-5.0	26
2018-02-10	@ SCR Altach	W 1-0	53.8	1947	1688	63.87%	19.94%	16.19%	+1.07	+5.0	49
2018-02-10	Wolfsberg	L 0-1	68.7	1821	1610	68.68%	18.89%	12.43%	+1.37	-17.5	44
2018-02-10	@ Sturm Graz	W 1-0	68.7	1610	1821	12.43%	18.89%	68.68%	-1.37	+17.5	20
2018-02-11	Rapid Wien	W 2-1	67.2	1727	1803	35.71%	21.77%	42.51%	-0.12	+10.8	34
2018-02-11	@ Admira Wacker	L 1-2	67.2	1803	1727	42.51%	21.77%	35.71%	+0.12	-10.8	35
2018-02-17	Admira Wacker	L 1-3	59.7	1628	1737	31.33%	21.65%	47.02%	-0.30	-14.6	20
2018-02-17	@ Wolfsberg	W 3-1	59.7	1737	1628	47.02%	21.65%	31.33%	+0.30	+14.6	37
2018-02-17	Austria Wien	W 2-1	64.8	1683	1716	41.92%	21.78%	36.30%	+0.10	+9.5	30
2018-02-17	@ Mattersburg	L 1-2	64.8	1716	1683	36.30%	21.78%	41.92%	-0.10	-9.5	27
2018-02-17	SCR Altach	W 2-0	52.7	1740	1683	53.63%	21.26%	25.11%	+0.57	+14.0	36
2018-02-17	@ LASK	L 0-2	52.7	1683	1740	25.11%	21.26%	53.63%	-0.57	-14.0	26
2018-02-17	Sturm Graz	D 1-1	74.0	1792	1804	44.90%	21.72%	33.38%	+0.21	-0.7	36
2018-02-17	@ Rapid Wien	D 1-1	74.0	1804	1792	33.38%	21.72%	44.90%	-0.21	+0.7	45
2018-02-18	SKN St. Polten	W 4-0	41.0	1952	1498	82.92%	13.23%	3.85%	+2.63	+3.9	52
2018-02-18	@ Salzburg	L 0-4	41.0	1498	1952	3.85%	13.23%	82.92%	-2.63	-3.9	7
2018-02-24	Austria Wien	W 2-1	62.0	1752	1707	52.26%	21.36%	26.38%	+0.51	+7.3	40
2018-02-24	@ Admira Wacker	L 1-2	62.0	1707	1752	26.38%	21.36%	52.26%	-0.51	-7.3	27
2018-02-24	LASK	W 2-0	53.8	1792	1754	51.33%	21.43%	27.24%	+0.47	+15.0	39
2018-02-24	@ Rapid Wien	L 0-2	53.8	1754	1792	27.24%	21.43%	51.33%	-0.47	-15.0	36
2018-02-24	Mattersburg	D 1-1	72.9	1669	1693	43.17%	21.76%	35.07%	+0.15	-0.5	27
2018-02-24	@ SCR Altach	D 1-1	72.9	1693	1669	35.07%	21.76%	43.17%	-0.15	+0.5	31
2018-02-24	SKN St. Polten	L 0-1	61.3	1613	1494	60.46%	20.50%	19.04%	+0.89	-15.6	20
2018-02-24	@ Wolfsberg	W 1-0	61.3	1494	1613	19.04%	20.50%	60.46%	-0.89	+15.5	10
2018-02-25	Salzburg	L 2-4	63.2	1804	1956	26.25%	21.35%	52.40%	-0.52	-11.2	45
2018-02-25	@ Sturm Graz	W 4-2	63.2	1956	1804	52.40%	21.35%	26.25%	+0.52	+11.2	55
2018-03-03	Admira Wacker	W 3-2	71.5	1693	1759	37.16%	21.79%	41.04%	-0.07	+9.9	34
2018-03-03	@ Mattersburg	L 2-3	71.5	1759	1693	41.04%	21.79%	37.16%	+0.07	-9.9	40
2018-03-03	SCR Altach	L 1-2	58.2	1510	1669	25.48%	21.29%	53.23%	-0.55	-7.1	10
2018-03-03	@ SKN St. Polten	W 2-1	58.2	1669	1510	53.23%	21.29%	25.48%	+0.55	+7.1	30
2018-03-03	Sturm Graz	L 0-2	57.4	1739	1793	38.84%	21.80%	39.36%	-0.01	-20.0	36
2018-03-03	@ LASK	W 2-0	57.4	1793	1739	39.36%	21.80%	38.84%	+0.01	+20.0	48
2018-03-03	Wolfsberg	W 2-0	50.0	1699	1598	58.64%	20.74%	20.62%	+0.80	+11.7	30
2018-03-03	@ Austria Wien	L 0-2	50.0	1598	1699	20.62%	20.74%	58.64%	-0.80	-11.7	20
2018-03-04	Rapid Wien	W 1-0	53.8	1967	1807	64.44%	19.83%	15.73%	+1.11	+4.8	58
2018-03-04	@ Salzburg	L 0-1	53.8	1807	1967	15.73%	19.83%	64.44%	-1.11	-4.8	39
2018-03-10	LASK	L 0-3	50.3	1586	1719	28.45%	21.51%	50.04%	-0.42	-22.6	20
2018-03-10	@ Wolfsberg	W 3-0	50.3	1719	1586	50.04%	21.51%	28.45%	+0.42	+22.6	39
2018-03-10	Rapid Wien	D 0-0	69.4	1676	1802	29.22%	21.55%	49.23%	-0.38	+1.3	31
2018-03-10	@ SCR Altach	D 0-0	69.4	1802	1676	49.23%	21.55%	29.22%	+0.38	-1.3	40
2018-03-10	SKN St. Polten	W 4-0	42.6	1711	1503	68.47%	18.94%	12.59%	+1.35	+13.9	33
2018-03-10	@ Austria Wien	L 0-4	42.6	1503	1711	12.59%	18.94%	68.47%	-1.35	-13.9	10
2018-03-10	Sturm Graz	L 2-4	66.5	1749	1813	37.50%	21.79%	40.71%	-0.06	-15.1	40
2018-03-10	@ Admira Wacker	W 4-2	66.5	1813	1749	40.71%	21.79%	37.50%	+0.06	+15.1	51
2018-03-11	Salzburg	D 2-2	80.1	1703	1972	15.47%	19.77%	64.75%	-1.13	+2.3	35
2018-03-11	@ Mattersburg	D 2-2	80.1	1972	1703	64.75%	19.77%	15.47%	+1.13	-2.3	59
2018-03-17	Admira Wacker	L 1-2	56.4	1489	1734	17.26%	20.17%	62.57%	-1.00	-5.0	10
2018-03-17	@ SKN St. Polten	W 2-1	56.4	1734	1489	62.57%	20.17%	17.26%	+1.00	+5.0	43
2018-03-17	Mattersburg	W 3-1	59.0	1741	1705	51.08%	21.44%	27.48%	+0.46	+13.1	42
2018-03-17	@ LASK	L 1-3	59.0	1705	1741	27.48%	21.44%	51.08%	-0.46	-13.1	35
2018-03-17	SCR Altach	W 1-0	53.6	1828	1677	63.60%	19.99%	16.41%	+1.06	+5.0	54
2018-03-17	@ Sturm Graz	L 0-1	53.6	1677	1828	16.41%	19.99%	63.60%	-1.06	-5.0	31
2018-03-17	Wolfsberg	W 5-1	48.1	1801	1564	70.68%	18.34%	10.97%	+1.51	+10.1	43
2018-03-17	@ Rapid Wien	L 1-5	48.1	1564	1801	10.97%	18.34%	70.68%	-1.51	-10.1	20
2018-03-18	Austria Wien	W 5-0	45.5	1970	1725	71.25%	18.18%	10.57%	+1.55	+14.4	62
2018-03-18	@ Salzburg	L 0-5	45.5	1725	1970	10.57%	18.18%	71.25%	-1.55	-14.4	33
2018-03-31	LASK	L 0-1	62.5	1739	1755	44.36%	21.74%	33.90%	+0.19	-11.8	43
2018-03-31	@ Admira Wacker	W 1-0	62.5	1755	1739	33.90%	21.74%	44.36%	-0.19	+11.8	45
2018-03-31	SCR Altach	W 2-1	61.8	1711	1672	51.41%	21.42%	27.17%	+0.47	+7.5	36
2018-03-31	@ Austria Wien	L 1-2	61.8	1672	1711	27.17%	21.42%	51.41%	-0.47	-7.5	31
2018-03-31	Sturm Graz	L 1-5	47.5	1484	1833	10.61%	18.19%	71.20%	-1.54	-9.8	10
2018-03-31	@ SKN St. Polten	W 5-1	47.5	1833	1484	71.20%	18.19%	10.61%	+1.54	+9.8	57
2018-03-31	Wolfsberg	W 2-0	44.6	1984	1553	81.90%	13.78%	4.31%	+2.51	+2.3	65
2018-03-31	@ Salzburg	L 0-2	44.6	1553	1984	4.31%	13.78%	81.90%	-2.51	-2.3	20
2018-04-01	Rapid Wien	L 2-4	64.1	1692	1811	30.20%	21.60%	48.20%	-0.34	-12.7	35
2018-04-01	@ Mattersburg	W 4-2	64.1	1811	1692	48.20%	21.60%	30.20%	+0.34	+12.7	46
2018-04-07	Admira Wacker	L 1-2	65.1	1664	1728	37.58%	21.79%	40.62%	-0.06	-9.8	31
2018-04-07	@ SCR Altach	W 2-1	65.1	1728	1664	40.62%	21.79%	37.58%	+0.06	+9.8	46
2018-04-07	Austria Wien	L 0-2	63.7	1843	1718	61.07%	20.41%	18.52%	+0.92	-29.6	57
2018-04-07	@ Sturm Graz	W 2-0	63.7	1718	1843	18.52%	20.41%	61.07%	-0.92	+29.6	39
2018-04-07	Mattersburg	L 0-2	51.7	1551	1680	28.95%	21.54%	49.51%	-0.40	-15.8	20
2018-04-07	@ Wolfsberg	W 2-0	51.7	1680	1551	49.51%	21.54%	28.95%	+0.40	+15.8	38
2018-04-07	SKN St. Polten	W 2-1	53.0	1823	1474	77.81%	15.77%	6.42%	+2.09	+1.8	49
2018-04-07	@ Rapid Wien	L 1-2	53.0	1474	1823	6.42%	15.77%	77.81%	-2.09	-1.8	10
2018-04-08	Salzburg	W 1-0	67.3	1766	1987	19.36%	20.55%	60.09%	-0.87	+15.5	48
2018-04-08	@ LASK	L 0-1	67.3	1987	1766	60.09%	20.55%	19.36%	+0.87	-15.5	65
2018-04-14	LASK	L 1-3	52.0	1472	1782	12.81%	19.02%	68.17%	-1.34	-6.5	10
2018-04-14	@ SKN St. Polten	W 3-1	52.0	1782	1472	68.17%	19.02%	12.81%	+1.34	+6.5	51
2018-04-14	Mattersburg	W 3-0	48.6	1813	1695	60.36%	20.51%	19.13%	+0.89	+15.9	60
2018-04-14	@ Sturm Graz	L 0-3	48.6	1695	1813	19.13%	20.51%	60.36%	-0.89	-15.9	38
2018-04-14	Wolfsberg	W 2-1	56.3	1655	1535	60.50%	20.49%	19.01%	+0.89	+5.5	34
2018-04-14	@ SCR Altach	L 1-2	56.3	1535	1655	19.01%	20.49%	60.50%	-0.89	-5.5	20
2018-04-15	Rapid Wien	L 0-4	53.4	1748	1825	35.55%	21.77%	42.68%	-0.13	-35.4	39
2018-04-15	@ Austria Wien	W 4-0	53.4	1825	1748	42.68%	21.77%	35.55%	+0.13	+35.4	52
2018-04-15	Salzburg	L 2-6	53.9	1737	1971	18.20%	20.35%	61.45%	-0.94	-14.0	46
2018-04-15	@ Admira Wacker	W 6-2	53.9	1971	1737	61.45%	20.35%	18.20%	+0.94	+14.0	68
2018-04-21	Austria Wien	W 1-0	55.9	1788	1712	55.86%	21.05%	23.09%	+0.67	+6.9	54
2018-04-21	@ LASK	L 0-1	55.9	1712	1788	23.09%	21.05%	55.86%	-0.67	-6.9	39
2018-04-21	SKN St. Polten	D 1-1	70.0	1680	1466	68.90%	18.83%	12.27%	+1.38	-3.5	39
2018-04-21	@ Mattersburg	D 1-1	70.0	1466	1680	12.27%	18.83%	68.90%	-1.38	+3.5	11
2018-04-21	Sturm Graz	W 2-1	73.0	1530	1829	13.42%	19.21%	67.37%	-1.28	+16.2	23
2018-04-21	@ Wolfsberg	L 1-2	73.0	1829	1530	67.37%	19.21%	13.42%	+1.28	-16.2	60
2018-04-22	Admira Wacker	W 4-1	53.2	1861	1723	62.29%	20.22%	17.50%	+0.99	+12.4	55
2018-04-22	@ Rapid Wien	L 1-4	53.2	1723	1861	17.50%	20.22%	62.29%	-0.99	-12.4	46
2018-04-22	SCR Altach	W 3-1	51.9	1985	1660	76.44%	16.35%	7.21%	+1.96	+3.6	71
2018-04-22	@ Salzburg	L 1-3	51.9	1660	1985	7.21%	16.35%	76.44%	-1.96	-3.6	34
2018-04-28	LASK	L 0-2	53.7	1657	1795	27.76%	21.46%	50.78%	-0.45	-15.2	34
2018-04-28	@ SCR Altach	W 2-0	53.7	1795	1657	50.78%	21.46%	27.76%	+0.45	+15.2	57
2018-04-28	Mattersburg	L 2-3	73.8	1705	1676	50.24%	21.49%	28.27%	+0.43	-11.8	39
2018-04-28	@ Austria Wien	W 3-2	73.8	1676	1705	28.27%	21.49%	50.24%	-0.43	+11.8	42
2018-04-28	Wolfsberg	W 4-2	57.0	1711	1546	64.83%	19.76%	15.42%	+1.13	+6.9	49
2018-04-28	@ Admira Wacker	L 2-4	57.0	1546	1711	15.42%	19.76%	64.83%	-1.13	-6.9	23
2018-04-29	Rapid Wien	W 4-2	67.5	1813	1873	38.05%	21.80%	40.15%	-0.04	+15.9	63
2018-04-29	@ Sturm Graz	L 2-4	67.5	1873	1813	40.15%	21.80%	38.05%	+0.04	-15.9	55
2018-04-29	Salzburg	L 0-2	44.6	1469	1989	4.68%	14.19%	81.13%	-2.43	-2.6	11
2018-04-29	@ SKN St. Polten	W 2-0	44.6	1989	1469	81.13%	14.19%	4.68%	+2.43	+2.6	74
2018-05-05	Admira Wacker	D 0-0	69.1	1694	1718	43.10%	21.76%	35.13%	+0.15	-0.5	40
2018-05-05	@ Austria Wien	D 0-0	69.1	1718	1694	35.13%	21.76%	43.10%	-0.15	+0.5	50
2018-05-05	Rapid Wien	L 0-2	57.9	1810	1857	39.92%	21.80%	38.28%	+0.03	-20.4	57
2018-05-05	@ LASK	W 2-0	57.9	1857	1810	38.28%	21.80%	39.92%	-0.03	+20.4	58
2018-05-05	SCR Altach	L 0-1	63.7	1688	1641	52.37%	21.35%	26.28%	+0.51	-13.6	42
2018-05-05	@ Mattersburg	W 1-0	63.7	1641	1688	26.28%	21.35%	52.37%	-0.51	+13.6	37
2018-05-05	Wolfsberg	L 0-1	50.8	1467	1539	36.31%	21.78%	41.91%	-0.10	-10.1	11
2018-05-05	@ SKN St. Polten	W 1-0	50.8	1539	1467	41.91%	21.78%	36.31%	+0.10	+10.1	26
2018-05-06	Sturm Graz	W 4-1	52.7	1991	1829	64.60%	19.80%	15.60%	+1.12	+11.1	77
2018-05-06	@ Salzburg	L 1-4	52.7	1829	1991	15.60%	19.80%	64.60%	-1.12	-11.1	63
2018-05-12	LASK	W 3-1	59.8	1818	1790	50.09%	21.50%	28.41%	+0.42	+13.5	66
2018-05-12	@ Sturm Graz	L 1-3	59.8	1790	1818	28.41%	21.50%	50.09%	-0.42	-13.5	57
2018-05-12	Mattersburg	D 1-1	73.3	1718	1674	52.09%	21.37%	26.53%	+0.50	-1.5	51
2018-05-12	@ Admira Wacker	D 1-1	73.3	1674	1718	26.53%	21.37%	52.09%	-0.50	+1.5	43
2018-05-12	SKN St. Polten	L 1-3	65.0	1655	1457	67.66%	19.14%	13.20%	+1.30	-28.2	37
2018-05-12	@ SCR Altach	W 3-1	65.0	1457	1655	13.20%	19.14%	67.66%	-1.30	+28.2	14
2018-05-13	Salzburg	L 1-4	57.4	1878	2002	29.41%	21.56%	49.03%	-0.38	-19.6	58
2018-05-13	@ Rapid Wien	W 4-1	57.4	2002	1878	49.03%	21.56%	29.41%	+0.38	+19.6	80
2018-05-15	Austria Wien	W 2-1	67.4	1549	1693	27.15%	21.42%	51.43%	-0.47	+12.6	29
2018-05-15	@ Wolfsberg	L 1-2	67.4	1693	1549	51.43%	21.42%	27.15%	+0.47	-12.6	40
2018-05-20	Admira Wacker	W 2-0	51.2	1831	1717	60.02%	20.56%	19.42%	+0.87	+11.1	69
2018-05-20	@ Sturm Graz	L 0-2	51.2	1717	1831	19.42%	20.56%	60.02%	-0.87	-11.1	51
2018-05-20	Austria Wien	W 2-0	58.6	1485	1680	21.67%	20.89%	57.45%	-0.74	+28.0	17
2018-05-20	@ SKN St. Polten	L 0-2	58.6	1680	1485	57.45%	20.89%	21.67%	+0.74	-28.0	40
2018-05-20	Mattersburg	W 1-0	49.7	2022	1676	77.65%	15.84%	6.51%	+2.07	+2.0	83
2018-05-20	@ Salzburg	L 0-1	49.7	1676	2022	6.51%	15.84%	77.65%	-2.07	-1.9	43
2018-05-20	SCR Altach	W 4-1	50.6	1858	1627	70.24%	18.47%	11.29%	+1.48	+8.0	61
2018-05-20	@ Rapid Wien	L 1-4	50.6	1627	1858	11.29%	18.47%	70.24%	-1.48	-8.0	37
2018-05-20	Wolfsberg	L 1-3	69.9	1776	1562	68.98%	18.81%	12.21%	+1.39	-28.7	57
2018-05-20	@ LASK	W 3-1	69.9	1562	1776	12.21%	18.81%	68.98%	-1.39	+28.7	32
2018-05-27	LASK	W 2-1	66.7	1674	1748	36.05%	21.78%	42.18%	-0.11	+10.7	46
2018-05-27	@ Mattersburg	L 1-2	66.7	1748	1674	42.18%	21.78%	36.05%	+0.11	-10.7	57
2018-05-27	Rapid Wien	D 0-0	69.9	1590	1866	15.01%	19.66%	65.33%	-1.16	+3.5	33
2018-05-27	@ Wolfsberg	D 0-0	69.9	1866	1590	65.33%	19.66%	15.01%	+1.16	-3.5	62
2018-05-27	Salzburg	W 4-0	63.5	1652	2024	9.55%	17.70%	72.75%	-1.66	+65.8	43
2018-05-27	@ Austria Wien	L 0-4	63.5	2024	1652	72.75%	17.70%	9.55%	+1.66	-65.8	83
2018-05-27	SKN St. Polten	L 0-2	62.2	1706	1513	67.22%	19.25%	13.53%	+1.27	-32.3	51
2018-05-27	@ Admira Wacker	W 2-0	62.2	1513	1706	13.53%	19.25%	67.22%	-1.27	+32.3	20
2018-05-27	Sturm Graz	D 0-0	69.7	1619	1843	19.05%	20.50%	60.45%	-0.89	+2.8	38
2018-05-27	@ SCR Altach	D 0-0	69.7	1843	1619	60.45%	20.50%	19.05%	+0.89	-2.8	70

Biggest Upsets

The 25 games where the underdog won despite the lowest pregame win probability. Underdog Win % is the winner's pregame chance of winning the game (lower = bigger upset). @ before a team name indicates the away side. An asterisk (*) after the date marks a playoff game.

#	Date	Underdog Win %	Winning Team			Losing Team
#	Date	Underdog Win %	Team	Elo	Score	Team	Elo	Score
1	2018-05-27	9.55%	@ Austria Wien	1652	4	Salzburg	2024	0
2	2018-05-20	12.21%	Wolfsberg	1562	3	@ LASK	1776	1
3	2018-02-10	12.43%	Wolfsberg	1610	1	@ Sturm Graz	1821	0
4	2018-05-12	13.20%	SKN St. Polten	1457	3	@ SCR Altach	1655	1
5	2017-11-05	13.26%	Mattersburg	1578	3	@ Austria Wien	1775	1
6	2018-04-21	13.42%	@ Wolfsberg	1530	2	Sturm Graz	1829	1
7	2018-05-27	13.53%	SKN St. Polten	1513	2	@ Admira Wacker	1706	0
8	2018-04-07	18.52%	Austria Wien	1718	2	@ Sturm Graz	1843	0
9	2018-02-24	19.04%	SKN St. Polten	1494	1	@ Wolfsberg	1613	0
10	2018-04-08	19.36%	@ LASK	1766	1	Salzburg	1987	0
11	2017-11-29	19.51%	SCR Altach	1685	2	@ Rapid Wien	1799	1
12	2017-11-29	20.85%	@ SKN St. Polten	1541	1	Austria Wien	1745	0
13	2018-05-20	21.67%	@ SKN St. Polten	1485	2	Austria Wien	1680	0
14	2018-02-03	22.27%	@ Mattersburg	1647	1	Sturm Graz	1836	0
15	2018-05-05	26.28%	SCR Altach	1641	1	@ Mattersburg	1688	0
16	2018-05-15	27.15%	@ Wolfsberg	1549	2	Austria Wien	1693	1
17	2018-04-28	28.27%	Mattersburg	1676	3	@ Austria Wien	1705	2
18	2017-11-18	29.03%	Admira Wacker	1724	3	@ Austria Wien	1747	2
19	2017-12-17	29.18%	@ Austria Wien	1722	1	Sturm Graz	1849	0
20	2018-02-10	29.64%	LASK	1719	3	@ Austria Wien	1737	1
21	2017-10-22	30.23%	Rapid Wien	1775	1	@ Austria Wien	1788	0
22	2017-08-27	31.02%	@ Sturm Graz	1788	1	Salzburg	1900	0
23	2017-12-02	31.14%	@ Mattersburg	1603	1	LASK	1714	0
24	2017-11-04	31.78%	LASK	1697	4	@ SCR Altach	1698	2
25	2017-07-30	31.80%	Sturm Graz	1751	3	@ Austria Wien	1752	2

Biggest Elo Changes

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

#	Date	Elo Δ	Winning Team				Losing Team				Tie %
#	Date	Elo Δ	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2018-05-27	65.84	@ Austria Wien	4	1652	9.55%	Salzburg	0	2024	72.75%	17.70%
2	2017-09-09	52.04	Admira Wacker	5	1657	33.94%	@ Mattersburg	0	1642	44.33%	21.74%
3	2018-04-15	35.40	Rapid Wien	4	1825	42.68%	@ Austria Wien	0	1748	35.55%	21.77%
4	2018-05-27	32.35	SKN St. Polten	2	1513	13.53%	@ Admira Wacker	0	1706	67.22%	19.25%
5	2017-07-23	31.61	@ SCR Altach	3	1703	35.10%	Austria Wien	0	1784	43.14%	21.76%
6	2017-11-19	30.40	@ Salzburg	5	1913	55.85%	Sturm Graz	0	1837	23.10%	21.06%
7	2018-04-07	29.58	Austria Wien	2	1718	18.52%	@ Sturm Graz	0	1843	61.07%	20.41%
8	2017-12-16	28.95	@ Mattersburg	5	1618	43.53%	Wolfsberg	1	1639	34.72%	21.75%
9	2018-05-20	28.68	Wolfsberg	3	1562	12.21%	@ LASK	1	1776	68.98%	18.81%
10	2018-05-12	28.18	SKN St. Polten	3	1457	13.20%	@ SCR Altach	1	1655	67.66%	19.14%
11	2017-11-05	28.15	Mattersburg	3	1578	13.26%	@ Austria Wien	1	1775	67.58%	19.16%
12	2018-05-20	27.95	@ SKN St. Polten	2	1485	21.67%	Austria Wien	0	1680	57.45%	20.89%
13	2017-10-15	26.50	@ Sturm Graz	3	1795	43.68%	Austria Wien	0	1815	34.57%	21.75%
14	2017-07-30	26.41	@ Admira Wacker	4	1657	35.58%	SCR Altach	1	1734	42.65%	21.77%
15	2017-11-28	26.16	@ Sturm Graz	6	1813	54.70%	Admira Wacker	1	1747	24.14%	21.16%
16	2017-12-16	24.76	Rapid Wien	5	1780	61.20%	@ SKN St. Polten	0	1549	18.41%	20.39%
17	2017-07-22	24.36	@ LASK	3	1687	47.20%	Admira Wacker	0	1681	31.16%	21.64%
18	2018-03-10	22.59	LASK	3	1719	50.04%	@ Wolfsberg	0	1586	28.45%	21.51%
19	2017-07-29	22.10	Rapid Wien	4	1753	44.17%	@ SKN St. Polten	1	1664	34.09%	21.74%
20	2018-02-10	21.92	Mattersburg	3	1661	51.10%	@ SKN St. Polten	0	1520	27.46%	21.44%
21	2018-02-10	20.91	LASK	3	1719	29.64%	@ Austria Wien	1	1737	48.78%	21.57%
22	2018-05-05	20.45	Rapid Wien	2	1857	38.28%	@ LASK	0	1810	39.92%	21.80%
23	2018-03-03	20.01	Sturm Graz	2	1793	39.36%	@ LASK	0	1739	38.84%	21.80%
24	2017-08-13	19.95	@ Admira Wacker	3	1671	32.13%	Rapid Wien	1	1774	46.19%	21.68%
25	2018-05-13	19.58	Salzburg	4	2002	49.03%	@ Rapid Wien	1	1878	29.41%	21.56%

Most & Least Exciting Games

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

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2018-03-11	80.1	@ Mattersburg	2	1703	15.47%	Salzburg	2	1972	64.75%	19.77%
2	2017-09-10	79.9	@ Salzburg	2	1887	62.16%	Rapid Wien	2	1751	17.60%	20.24%
3	2017-09-09	79.4	@ Austria Wien	2	1789	58.09%	Wolfsberg	2	1693	21.10%	20.81%
4	2017-08-06	79.3	@ Rapid Wien	2	1775	50.79%	Austria Wien	2	1741	27.75%	21.46%
5	2017-12-09	79.3	@ Rapid Wien	2	1783	65.04%	Mattersburg	2	1615	15.25%	19.72%
6	2017-07-22	79.1	@ Rapid Wien	2	1754	57.65%	Mattersburg	2	1662	21.49%	20.86%
7	2017-10-28	79.1	@ LASK	2	1697	35.41%	Austria Wien	2	1776	42.82%	21.77%
8	2017-09-16	79.0	@ SCR Altach	2	1709	40.30%	Rapid Wien	2	1753	37.91%	21.80%
9	2017-10-14	78.9	@ SCR Altach	2	1699	41.87%	Admira Wacker	2	1732	36.35%	21.78%
10	2017-09-23	78.2	@ LASK	2	1714	61.39%	Mattersburg	2	1586	18.25%	20.36%
11	2017-10-14	77.4	@ Wolfsberg	2	1679	58.33%	Mattersburg	2	1581	20.89%	20.78%
12	2017-07-29	74.5	@ Salzburg	1	1874	64.65%	LASK	1	1711	15.55%	19.79%
13	2017-12-03	74.4	@ Austria Wien	1	1730	19.00%	Salzburg	1	1954	60.51%	20.49%
14	2017-10-22	74.2	@ Admira Wacker	1	1732	24.31%	Salzburg	1	1901	54.50%	21.18%
15	2017-11-18	74.0	Admira Wacker	3	1724	29.03%	@ Austria Wien	2	1747	49.43%	21.54%
16	2018-02-04	74.0	@ Rapid Wien	1	1805	55.17%	Austria Wien	1	1735	23.71%	21.12%
17	2018-02-17	74.0	@ Rapid Wien	1	1792	44.90%	Sturm Graz	1	1804	33.38%	21.72%
18	2018-04-28	73.8	Mattersburg	3	1676	28.27%	@ Austria Wien	2	1705	50.24%	21.49%
19	2017-07-30	73.3	Sturm Graz	3	1751	31.80%	@ Austria Wien	2	1752	46.53%	21.67%
20	2018-05-12	73.3	@ Admira Wacker	1	1718	52.09%	Mattersburg	1	1674	26.53%	21.37%
21	2018-04-21	73.0	@ Wolfsberg	2	1530	13.42%	Sturm Graz	1	1829	67.37%	19.21%
22	2018-02-24	72.9	@ SCR Altach	1	1669	43.17%	Mattersburg	1	1693	35.07%	21.76%
23	2017-09-23	72.5	@ SKN St. Polten	1	1591	28.90%	Admira Wacker	1	1720	49.57%	21.53%
24	2017-11-29	71.9	SCR Altach	2	1685	19.51%	@ Rapid Wien	1	1799	59.91%	20.58%
25	2018-03-03	71.5	@ Mattersburg	3	1693	37.16%	Admira Wacker	2	1759	41.04%	21.79%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	2018-02-18	41.0	@ Salzburg	4	1952	82.92%	SKN St. Polten	0	1498	3.85%	13.23%
2	2018-03-10	42.6	@ Austria Wien	4	1711	68.47%	SKN St. Polten	0	1503	12.59%	18.94%
3	2018-03-31	44.6	@ Salzburg	2	1984	81.90%	Wolfsberg	0	1553	4.31%	13.78%
4	2018-04-29	44.6	Salzburg	2	1989	81.13%	@ SKN St. Polten	0	1469	4.68%	14.19%
5	2018-03-18	45.5	@ Salzburg	5	1970	71.25%	Austria Wien	0	1725	10.57%	18.18%
6	2017-11-29	46.0	@ Salzburg	2	1951	77.50%	Mattersburg	0	1607	6.59%	15.90%
7	2017-11-25	46.2	@ SCR Altach	3	1669	59.71%	SKN St. Polten	0	1557	19.68%	20.60%
8	2017-12-16	47.0	Rapid Wien	5	1780	61.20%	@ SKN St. Polten	0	1549	18.41%	20.39%
9	2018-03-31	47.5	Sturm Graz	5	1833	71.20%	@ SKN St. Polten	1	1484	10.61%	18.19%
10	2018-02-10	47.8	Mattersburg	3	1661	51.10%	@ SKN St. Polten	0	1520	27.46%	21.44%
11	2018-03-17	48.1	@ Rapid Wien	5	1801	70.68%	Wolfsberg	1	1564	10.97%	18.34%
12	2017-08-20	48.4	@ Salzburg	5	1891	72.44%	SKN St. Polten	1	1629	9.75%	17.80%
13	2018-04-14	48.6	@ Sturm Graz	3	1813	60.36%	Mattersburg	0	1695	19.13%	20.51%
14	2017-09-30	49.1	Sturm Graz	3	1776	56.17%	@ SKN St. Polten	0	1592	22.81%	21.02%
15	2017-10-28	49.2	@ Salzburg	2	1900	67.29%	SCR Altach	0	1706	13.48%	19.23%
16	2017-09-17	49.6	@ Austria Wien	5	1787	66.43%	SKN St. Polten	1	1604	14.15%	19.43%
17	2018-05-20	49.7	@ Salzburg	1	2022	77.65%	Mattersburg	0	1676	6.51%	15.84%
18	2018-03-03	50.0	@ Austria Wien	2	1699	58.64%	Wolfsberg	0	1598	20.62%	20.74%
19	2017-11-19	50.1	@ Salzburg	5	1913	55.85%	Sturm Graz	0	1837	23.10%	21.06%
20	2017-11-25	50.1	@ Admira Wacker	2	1736	60.37%	Mattersburg	0	1618	19.12%	20.51%
21	2017-08-05	50.2	@ Salzburg	5	1871	66.83%	Admira Wacker	1	1683	13.84%	19.34%
22	2018-03-10	50.3	LASK	3	1719	50.04%	@ Wolfsberg	0	1586	28.45%	21.51%
23	2018-05-20	50.6	@ Rapid Wien	4	1858	70.24%	SCR Altach	1	1627	11.29%	18.47%
24	2018-05-05	50.8	Wolfsberg	1	1539	41.91%	@ SKN St. Polten	0	1467	36.31%	21.78%
25	2018-05-20	51.2	@ Sturm Graz	2	1831	60.02%	Admira Wacker	0	1717	19.42%	20.56%