Red Bull Salzburg vs Grödig: result 4-1 and analysis
BundesligaRegular Season - 4Kick-off on August 10, 2013 at 05:00 PM (UTC)Red Bull Arena, Wals-Siezenheim
Full time
What was the result of Red Bull Salzburg vs Grödig?
Red Bull Salzburg won 4-1 on August 10, 2013.
Goalscorers
- 38′D. ElsnegGrödig
- 52′Martin Josef HintereggerRed Bull Salzburg
- 67′André RamalhoRed Bull Salzburg
- 84′V. BerishaRed Bull Salzburg
- 90′SorianoRed Bull Salzburg
What is the recent form of both teams?
Over their last 15 matches in all competitions, Red Bull Salzburg have 10 wins, 3 draws and 2 defeats; Grödig have 9, 5 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 6, 2013 | Fenerbahçe(away) | 1-3 | UEFA Champions League |
| Aug 3, 2013 | Wacker Innsbruck(away) | 1-1 | Bundesliga |
| Jul 31, 2013 | Fenerbahçe(home) | 1-1 | UEFA Champions League |
| Jul 27, 2013 | Austria Vienna(home) | 5-1 | Bundesliga |
| Jul 20, 2013 | SC Wiener Neustadt(away) | 5-1 | Bundesliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 3, 2013 | Admira Wacker(home) | 7-1 | Bundesliga |
| Jul 28, 2013 | Sturm Graz(away) | 2-0 | Bundesliga |
| Jul 20, 2013 | Ried(home) | 0-0 | Bundesliga |
| Jul 13, 2013 | Austria Salzburg(away) | 1-1 | Cup |
| May 24, 2013 | FC BW Linz(home) | 5-0 | 2. Liga |
How many goals should we expect?
Red Bull Salzburg score 3.4 and concede 1.1 goals per match over their last 15; Grödig score 2.5 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Red Bull Salzburg | 3.4 | 1.1 | 4 | 11/15 | 13/15 |
| Grödig | 2.5 | 0.6 | 7 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Red Bull Salzburg | 3 | 2 | 1 | 0 | 5 | 1 | 7 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy