Hartberg’s fragile back line gives Altach a real route to a goal, while the visitors’ leaky defense should offer the hosts chances to strike. Altach’s attack may look blunt on paper, but Hartberg’s defensive weakness keeps them in the contest. Both teams to score looks the most likely outcome.
Both Teams to ScoreYes
Best Pick
BTTS
53%
Correct Score
Top
1-1
11.5%
6.50
Top
1-0
11%
9.50
2-1
9.7%
9.50
2-0
9.2%
13.00
0-1
6.9%
11.00
0-0
6.5%
12.00
1-2
6.1%
11.00
3-1
5.4%
19.00
152%
2.40TOP
X24%
3.40
224%
2.80
1X76%
X248%
1276%
Combined Bet Builder
3 legs
Hartberg’s 1.51 xG gives them the clearest attacking edge over Altach’s 0.86, while both defenses are weaker than average—conditions that support a home win and a three-goal game. Marco Hoffmann anytime adds the scorer angle, though the supplied data offers no individual scoring figures; the 4.16 builder carries that added risk.
1Match WinnerHartberg
2Match GoalsOver 2.5
3GoalscorersAnytime
Confirmed XI4-4-2
91
Pécsi
16
Dalpiaz
27
Schopp
19
Spendlhofer
6
Coulibaly
4
Markus
5
Diarra
10
Lukić
95
Feldhofer
7
Gattermayer
22
Hoffmann
Impact Player Hot Head
Hartberg38 players
51.2/ 99Average
Top Rated
1David KorherrFWD83
2Emmanuel OjukwuDEF80
3Benjamin MarkusMID74
Altach37 players
56.6/ 99Strong
Top Rated
1Alexander GorgonMID85
2Mike-Steven BähreMID77
3Anteo FetahuFWD76
Player Rankings
Snipers
Top goal threats
1
Andrija RadulovicHartberg
99
2
David KorherrHartberg
99
3
Anteo FetahuAltach
82
4
Marko RaguzAltach
76
5
Precious BenjaminAltach
70
Wall
Top defenders
1
Konstantin SchoppHartberg
83
2
Emmanuel OjukwuHartberg
76
3
Lukas SpendlhoferHartberg
76
4
Lukas GugganigAltach
62
5
Julian GöllesHartberg
54
Control
Top playmakers
1
Alexander GorgonAltach
99
2
Blendi IdriziAltach
86
3
Dominik ProkopHartberg
81
4
Youba DiarraHartberg
71
5
Mike-Steven BähreAltach
63
Bad Boys
Most likely to get booked
1
Tobias KainzHartberg
1
Aggression 28
2
Nikolaus FeldhoferHartberg
7
Aggression 96
3
Andrija RadulovicHartberg
13
Aggression 41
4
Jonas KarnerHartberg
20
Aggression 69
5
Musibau AzizHartberg
24
Aggression 62
Power Rankings
Strongest overall
1
Alexander GorgonAltach
85
2
David KorherrHartberg
83
3
Emmanuel OjukwuHartberg
80
4
Mike-Steven BähreAltach
77
5
Anteo FetahuAltach
76
Frequently Asked Questions
Our Poisson model calculates the probability of every possible scoreline for Hartberg vs Altach based on each team's expected goals (xG). The top-3 most likely scorelines are shown above with their probability percentages. Even the highest-probability score rarely exceeds 12-15% chance, as football is a low-scoring sport.
The Bet Builder combines multiple selections from the Hartberg vs Altach match into one bet. Our AI identifies outcomes that complement each other — for example, a home win paired with over 2.5 goals and both teams to score. All selections must win for the combined bet to pay out, which means higher combined odds but also higher risk.
xG (expected goals) measures the quality of scoring chances. If Hartberg has an xG of 1.8, it means they are expected to score around 1-2 goals based on chance quality. The model uses pre-match xG to build a probability table for all possible scorelines. A team can overperform xG (score more than expected) or underperform xG (score fewer).
Yes, all predictions on ProSoccer are completely free. You can view predicted scorelines, over/under probabilities, and bet builder suggestions for Hartberg vs Altach without paying or registering. Odds values are revealed after a tap to keep the page compliant with search engine guidelines.
A value bet occurs when the probability of an outcome is higher than what the bookmaker odds suggest. For example, if our model gives Hartberg a 55% chance of winning but the odds imply only 40%, that is a value bet. Our AI highlights selections where the model probability exceeds the implied probability from the odds.
AI predictions use statistical modeling (Poisson distribution) based on historical data and pre-match metrics. They are more reliable over large samples than for any single match. No prediction is guaranteed — football has inherent unpredictability. Our model typically identifies the correct top-3 scorelines in 25-30% of matches, which is significantly better than random chance.