Hard vs Fussach: result 0-1 and analysis
Landesliga - VorarlbergligaVorarlberg - 9Kick-off on September 14, 2019 at 02:00 PM (UTC)Waldstadion Hard, Hard am Bodensee
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What was the result of Hard vs Fussach?
Fussach won 0-1 on September 14, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Hard have 2 wins, 4 draws and 9 defeats; Fussach have 2, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 7, 2019 | Admira Dornbirn(away) | 1-5 | Landesliga - Vorarlbergliga |
| Aug 31, 2019 | Ludesch(home) | 0-3 | Landesliga - Vorarlbergliga |
| Aug 24, 2019 | Göfis(away) | 1-1 | Landesliga - Vorarlbergliga |
| Aug 18, 2019 | Blau-Weiß Feldkirch(home) | 0-3 | Landesliga - Vorarlbergliga |
| Aug 15, 2019 | Nenzing(home) | 5-1 | Landesliga - Vorarlbergliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 7, 2019 | Höchst(home) | 0-1 | Landesliga - Vorarlbergliga |
| Aug 31, 2019 | Bizau(away) | 1-2 | Landesliga - Vorarlbergliga |
| Aug 24, 2019 | Schruns(home) | 0-2 | Landesliga - Vorarlbergliga |
| Aug 18, 2019 | FC Egg(away) | 0-2 | Landesliga - Vorarlbergliga |
| Aug 14, 2019 | Alberschwende(home) | 0-0 | Landesliga - Vorarlbergliga |
How many goals should we expect?
Hard score 1.1 and concede 2.5 goals per match over their last 15; Fussach score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hard | 1.1 | 2.5 | 0 | 9/15 | 10/15 |
| Fussach | 1.1 | 1.5 | 2 | 3/8 | 3/8 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Hard | 24 | 11 | 2 | 11 | 29 | 31 | 35 |
A question about Hard vs Fussach?
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