Salzburger AK vs Hard: result 2-1 and analysis
Regionalliga - WestRegular Season - 17Kick-off on October 29, 2016 at 02:00 PM (UTC)SAK Arena Nonntal, Salzburg
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What was the result of Salzburger AK vs Hard?
Salzburger AK won 2-1 on October 29, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Salzburger AK have 1 win, 5 draws and 9 defeats; Hard have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2016 | Eugendorf(away) | 2-2 | Regionalliga - West |
| Oct 22, 2016 | Hohenems(away) | 0-0 | Regionalliga - West |
| Oct 15, 2016 | Schwaz(home) | 0-4 | Regionalliga - West |
| Oct 7, 2016 | Seekirchen(home) | 1-1 | Regionalliga - West |
| Oct 1, 2016 | Wacker Innsbruck (Am)(away) | 1-1 | Regionalliga - West |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2016 | Wacker Innsbruck (Am)(home) | 3-0 | Regionalliga - West |
| Oct 22, 2016 | FC Liefering(home) | 1-7 | Regionalliga - West |
| Oct 15, 2016 | Pinzgau Saalfelden(away) | 0-3 | Regionalliga - West |
| Oct 8, 2016 | Kufstein(home) | 3-1 | Regionalliga - West |
| Oct 2, 2016 | Rheindorf Altach II(away) | 2-4 | Regionalliga - West |
What does the head-to-head say?
In the last meeting: 0 Salzburger AK wins, 1 draw, 0 Hard wins.
| Date | Score | Competition |
|---|---|---|
| Jul 30, 2016 | Hard 3-3 Salzburger AK | Regionalliga - West |
Last archived meeting: Hard vs Salzburger AK on Jul 30, 2016
How many goals should we expect?
Salzburger AK score 1.3 and concede 2.5 goals per match over their last 15; Hard score 2.1 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Salzburger AK | 1.3 | 2.5 | 1 | 12/15 | 11/15 |
| Hard | 2.1 | 2.3 | 2 | 11/15 | 13/15 |
Over the last 15 matches in all competitions.
A question about Salzburger AK vs Hard?
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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