Bundesliga · Austria · Regular Season - 1

Wolfsberger AC–Austria Vienna

3–0

HT 1–0

Kick-off: Sunday, 2 August 2026 at 15:00
Status: Match Finished
Venue: Lavanttal Arena, Wolfsberg

Goals and red cards

18'Wolfsberger ACG. Vrioni (penalty)
49'Wolfsberger ACA. Schwarz (assist: D. Avdijaj)
63'Wolfsberger ACG. Vrioni (penalty)

Match statistics

Match statistics
Wolfsberger AC		Austria Vienna
8	Shots	7
5	Shots on target	1
7	Shots inside the box	3
1	Goalkeeper saves	2
5	Corners	3
3	Offsides	3
47%	Possession	53%
390	Passes	426
288	Accurate passes

What we expected, and what happened

Expected goals before kick-off: Wolfsberger AC 1.35 · Austria Vienna 1.37. On the pitch: 3-0.
Shots Wolfsberger AC 8 · Austria Vienna 7; on target 5 and 1.

Referee

A. Harkam→

3.51

yellows per match

0.23

reds per match

matches of data

Model prediction

Why this prediction?

The model puts the most likely outcome at 36.6%: “Austria Vienna to win”. Second comes “Wolfsberger AC to win” at 35.6%.
Behind that distribution are the expected goals: 1.35 for Wolfsberger AC, 1.37 for Austria Vienna.
The highest double chance value is 72.2% (12 — any result other than a draw).
These values were computed from 651 past matches.

This is a prediction, not a guarantee; a probability is not a certainty.

These sentences are built by a fixed template; every number in them comes straight from the model's computation, none invented while the text was written.

Wolfsberger AC to win35.6%

Draw27.8%

Austria Vienna to win36.6%

When the model has said 35–40% in the past, 2,090 of 5,638 predictions were correct (37.1%). Accuracy record →

10	Fouls	10

1	Yellow cards	1

0	Red cards	0

First half

Actual: 1–0

Wolfsberger AC lead at half-time44.7%

Level at half-time38.4%

Austria Vienna lead at half-time16.9%

First-half double chance

1X — Wolfsberger AC ahead or level83.1%

12 — not level at half-time61.6%

X2 — level or Austria Vienna ahead55.3%

These values are not a fraction of the full-match prediction; they come from a separate model trained on the first-half scores of 651 matches. Its edge over the base rate is markedly smaller than the full-match model's — the measured figure is on the accuracy record. Read them more cautiously. First-half goal markets are not published because they failed to beat the base rate.

Expected fouls and corners

Fouls

Wolfsberger AC: at least 9Actual: 10
Austria Vienna: at least 12Actual: 10

Corners

Wolfsberger AC: at least 4Actual: 5
Austria Vienna: at least 4Actual: 3

These figures are set to hold in at least 60% of matches; in the rest the count comes in below them. No upper bound is stated — we make no "at most" claim. Yellow cards were measured and are not published: there our model did not beat the historical average.

What these probabilities rest on

Expected goals comes out of a team's attack weighed against its opponent's defence. A strong attack is damped when it meets a strong defence — which is why comparing the ratings on their own is misleading.

How many goals Wolfsberger AC score1.35

Attack: Wolfsberger AC score close to the league average.

Opponent's defence: Austria Vienna's defence is close to the league average (0.95×), so it doesn't move the expectation much.

Result: These two effects give an expectation of 1.35 goals (including home advantage).

How many goals Austria Vienna score1.37

Attack: Austria Vienna score close to the league average.

Opponent's defence: Wolfsberger AC's defence is close to the league average (1.06×), so it doesn't move the expectation much.

Result: These two effects give an expectation of 1.37 goals (including the away penalty).

Most likely scorelines

1–114.0%1–29.1%2–18.9%

A single scoreline is always less likely than an outcome: “home win” is the sum of 1-0, 2-0, 2-1 and dozens more. So the most likely single score can be a draw while the most likely outcome is a home win; the two do not contradict each other.

Week 1 of the season. This prediction was computed from previous seasons. Summer transfers, budget changes and squad rebuilds aren't in the ratings yet — the model can only see that a team has been rebuilt once new results come in.

We measured this and we're not hiding it: in the opening week of past seasons the model came in 3.3 points below the accuracy it claimed (n=220) — for the rest of the season it beats its own claim. The tendency points this way, though it is not proof on its own: in the opening week it slightly over-calls home wins (said 42.7%, got 39.5%) and slightly under-calls draws (said 26.1%, got 28.2%).

This sample is small and not statistically established, which is why we do not correct the model for it. The correction we tried (pulling probabilities toward the league average) didn't win on holdout, so it wasn't added. Read opening-week predictions with a little more caution.