Hard vs Grödig: result 3-1 and analysis
Regionalliga - WestRegular Season - 9Kick-off on September 10, 2016 at 02:00 PM (UTC)Waldstadion Hard, Hard am Bodensee
Full time
What was the result of Hard vs Grödig?
Hard won 3-1 on September 10, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Hard have 3 wins, 7 draws and 5 defeats; Grödig have 11, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 3, 2016 | TSV St. Johann(away) | 3-1 | Regionalliga - West |
| Aug 27, 2016 | Dornbirn(home) | 3-3 | Regionalliga - West |
| Aug 20, 2016 | Seekirchen(away) | 3-3 | Regionalliga - West |
| Aug 15, 2016 | Eugendorf(away) | 1-1 | Regionalliga - West |
| Aug 12, 2016 | Hohenems(home) | 1-4 | Regionalliga - West |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 2, 2016 | Eugendorf(home) | 2-0 | Regionalliga - West |
| Aug 27, 2016 | Hohenems(away) | 2-0 | Regionalliga - West |
| Aug 20, 2016 | Schwaz(home) | 5-1 | Regionalliga - West |
| Aug 15, 2016 | Salzburger AK(away) | 2-0 | Regionalliga - West |
| Aug 11, 2016 | Wacker Innsbruck (Am)(home) | 2-0 | Regionalliga - West |
How many goals should we expect?
Hard score 1.5 and concede 1.6 goals per match over their last 15; Grödig score 2.3 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hard | 1.5 | 1.6 | 4 | 8/15 | 8/15 |
| Grödig | 2.3 | 0.7 | 8 | 5/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Hard vs Grödig?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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