Friendlies ClubsFriendlies Clubs
Friday, 17 July 2026Last updated 10:03
Austria Vienna

Austria Vienna

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W
41
Full time
Paks

Paks

Away
LW
GoalVio prediction
Friendly match
Very hard to predict

Friendly match — very hard to predict, not included in accuracy.

Paks33%
Austria Vienna33%
Draw33%
Most likely exact score1-2
Prediction missed— Result: Austria Vienna
Win probability
Austria Vienna
33%
Draw
33%
Paks
33%
Predicted winner is based on the highest win probability.
Intelligence snapshot
Attack
Austria Vienna
99
Paks
94
Defence
Austria Vienna
66
Paks
3
Momentum
Austria Vienna
100
Paks
50
Danger (xG)
Austria Vienna
3.60
Paks
2.70
Both teams to score
Yes

The model projects 1.74 xG for Austria Vienna and 1.34 xG for Paks — strong and meaningful attacking threat respectively. Both sides are generating enough chance quality to make scoring a realistic expectation, which is the primary driver of the BTTS projection.The projected 1-1 scoreline reflects both teams contributing to the goal tally. The xG gap between the sides is narrow (0.39), meaning neither defence is expected to completely shut the other out.The attack-versus-defence matchup supports both teams scoring. Austria Vienna's Attack Score (99) exceeds Paks's Defensive Stability (3), and Paks's attack (94) similarly tests Austria Vienna's defence (66). Neither backline is dominant enough to prevent the other side from scoring.

Over 2.5 goals
Yes

The model projects a combined xG of 3.08 — elevated attacking volume. A combined xG below 2.5 is the model's primary signal that the match is unlikely to produce more than two goals, and this fixture falls below that threshold.The projected 1-1 scoreline stays under the 2.5-goal mark. The probability grid is dominated by scorelines of two goals or fewer, with the over 2.5 market requiring a result that sits outside the model's most likely outcomes.

xG for (Austria Vienna)
3.60
avg per match
xG for (Paks)
2.70
avg per match
xG against (Austria Vienna)
0.90
avg per match
xG against (Paks)
3.15
avg per match

Momentum trend

last 5 matches
Austria ViennaAustria Vienna
W
PaksPaks
LWW

Probability breakdown

33% confidence
Austria Vienna33%
Draw33%
Paks33%

Paks leads with 33% — the model's highest-probability outcome for this fixture.

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Analysis

Paks Backed to Win — Model Projects 1-2

Austria Vienna take on Paks in Friendlies Clubs.

Why GoalVio backs this

The xG model projects 1.74 for Austria Vienna and 1.34 for Paks. The gap of 0.39 is not large enough to decisively separate the sides — neither team is creating chances at a level that justifies a clear winner projection.

Biggest risk: null have won 4 of their last 10 matches — a run of form the model acknowledges but cannot fully override. If null carry that momentum into this fixture and score first, the upset probability rises significantly above what the headline verdict suggests.

Risk factors

  • Live conditions — weather, team news, and in-game momentum — can always override statistical projections.
  • The Poisson model works on averages — individual moments of quality can decide matches that data suggests should be close.

Head to head

Austria Vienna 1Draws 00 Paks
Avg goals: 5.0BTTS in 1/1
17 Jul 2026
Austria Vienna
W41
Paks

Recent form

Austria Vienna

Austria Vienna

W
vs Paks
17 Jul 2026
41
Paks

Paks

L
@ Austria Vienna
17 Jul 2026
14
W
vs NK Slaven Belupo
16 Jul 2026
53
W
@ Diosgyori VTK
16 May 2026
31

Frequently asked questions

Who will win Austria Vienna vs Paks?

GoalVio's model predicts Paks to win with 33% confidence.

What is the predicted score for Austria Vienna vs Paks?

The most likely scoreline according to GoalVio's Skellam-DC model is 1-2.

Will both teams score in Austria Vienna vs Paks?

GoalVio's model predicts BTTS: Yes — both teams are expected to score.

Will there be over 2.5 goals in Austria Vienna vs Paks?

GoalVio's model predicts Over 2.5 Goals: Yes.

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About this prediction
GoalVio Prediction Engine v5 — updated dailyPowered by Poisson, xG and momentum modelsAccuracy last 30 days: 54%Last model update:
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Responsible gambling: Predictions are generated by a statistical model for informational purposes only. Past accuracy does not guarantee future results. Learn more