FC Schalke 04 vs Red Bull Salzburg: result 3-1 and analysis
UEFA Europa LeagueGroup Stage - 2Kick-off on September 29, 2016 at 05:00 PM (UTC)Arena AufSchalke, Gelsenkirchen
Full time
What was the result of FC Schalke 04 vs Red Bull Salzburg?
FC Schalke 04 won 3-1 on September 29, 2016.
Goalscorers
- 15′L. GoretzkaFC Schalke 04
- 47′D. Ćaleta-CarFC Schalke 04 (o.g.)
- 58′469FC Schalke 04
- 72′SorianoRed Bull Salzburg
What is the recent form of both teams?
Over their last 15 matches in all competitions, FC Schalke 04 have 5 wins, 2 draws and 8 defeats; Red Bull Salzburg have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2016 | 1899 Hoffenheim(away) | 1-2 | Bundesliga |
| Sep 21, 2016 | 1. FC Köln(home) | 1-3 | Bundesliga |
| Sep 18, 2016 | Hertha BSC(away) | 0-2 | Bundesliga |
| Sep 15, 2016 | Nice(away) | 1-0 | UEFA Europa League |
| Sep 9, 2016 | Bayern München(home) | 0-2 | Bundesliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2016 | SCR Altach(away) | 0-0 | Bundesliga |
| Sep 21, 2016 | Mannsdorf-Großenzersdorf(away) | 7-1 | Cup |
| Sep 18, 2016 | Austria Vienna(home) | 4-1 | Bundesliga |
| Sep 15, 2016 | FC Krasnodar(home) | 0-1 | UEFA Europa League |
| Sep 11, 2016 | Admira Wacker(away) | 4-0 | Bundesliga |
How many goals should we expect?
FC Schalke 04 score 1.4 and concede 1.7 goals per match over their last 15; Red Bull Salzburg score 1.9 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FC Schalke 04 | 1.4 | 1.7 | 1 | 9/15 | 10/15 |
| Red Bull Salzburg | 1.9 | 0.7 | 7 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 31 | Red Bull Salzburg | 8 | 2 | 0 | 6 | 10 | 15 | 6 |
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