Hard vs Austria Salzburg: result 3-2 and analysis
Regionalliga - WestRegular Season - 2Kick-off on August 3, 2011 at 04:30 PM (UTC)Waldstadion Hard, Hard am Bodensee
Full time
What was the result of Hard vs Austria Salzburg?
Hard won 3-2 on August 3, 2011.
Goalscorers
- 17′P. UrbanekAustria Salzburg
- 56′Tobias ScheiflerHard
- 58′Rifat SenAustria Salzburg (o.g.)
- 68′H. SutterHard
- 78′S. BeerHard
Official lineup for Hard vs Austria Salzburg
The starting elevens fielded at kick-off.
Hard
- TTobias Scheifler
- HH. Sutter
- AA. Garci
- SS. Steinhauser
- SS. Beer
- AA. Dürr
- FFrederic Winner
- MM. Grabherr
- RRifat Sen
- PP. Gorbach
- KKevin Defranceschi
Austria Salzburg
- MMarco Vujic
- LL. Wührer
- DDominik Borozni
- BB. Kletzl
- NN. Mayer
- AA. Oberauer
- PPa Ousman Sonko
- FFlorian Hirsch
- EE. Kircher
- PP. Urbanek
- MMartin Eisl
What is the recent form of both teams?
Over their last 2 matches in all competitions, Hard have 0 wins, 0 draws and 2 defeats; Austria Salzburg have 2, 0 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 30, 2011 | Neumarkt(away) | 1-4 | Regionalliga - West |
| Jul 23, 2011 | Schwarz-Weiß Bregenz(home) | 2-3 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 31, 2011 | Wacker Innsbruck (Am)(home) | 1-0 | Regionalliga - West |
| Jul 23, 2011 | FC Liefering(home) | 2-0 | Cup |
How many goals should we expect?
Hard score 1.5 and concede 3.5 goals per match over their last 2; Austria Salzburg score 1.5 and concede 0.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hard | 1.5 | 3.5 | 0 | 2/2 | 2/2 |
| Austria Salzburg | 1.5 | 0.0 | 2 | 0/2 | 0/2 |
Over the last 2 matches in all competitions.
A question about Hard vs Austria Salzburg?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy