Borussia Dortmund vs Red Bull Salzburg: result 1-2 and analysis
UEFA Europa League8th FinalsKick-off on March 8, 2018 at 06:00 PM (UTC)SIGNAL IDUNA PARK, Dortmund
Full time
What was the result of Borussia Dortmund vs Red Bull Salzburg?
Red Bull Salzburg won 1-2 on March 8, 2018.
Goalscorers
- 49′V. BerishaRed Bull Salzburg (pen.)
- 56′V. BerishaRed Bull Salzburg
- 62′A. SchürrleBorussia Dortmund
What is the recent form of both teams?
Over their last 15 matches in all competitions, Borussia Dortmund have 6 wins, 6 draws and 3 defeats; Red Bull Salzburg have 10, 5 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 3, 2018 | RB Leipzig(away) | 1-1 | Bundesliga |
| Feb 26, 2018 | FC Augsburg(home) | 1-1 | Bundesliga |
| Feb 22, 2018 | Atalanta(away) | 1-1 | UEFA Europa League |
| Feb 18, 2018 | Borussia Mönchengladbach(away) | 1-0 | Bundesliga |
| Feb 15, 2018 | Atalanta(home) | 3-2 | UEFA Europa League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 4, 2018 | Rapid Vienna(home) | 1-0 | Bundesliga |
| Feb 28, 2018 | Austria Klagenfurt(home) | 7-0 | Cup |
| Feb 25, 2018 | Sturm Graz(away) | 4-2 | Bundesliga |
| Feb 22, 2018 | Real Sociedad(home) | 2-1 | UEFA Europa League |
| Feb 18, 2018 | SKN ST. Polten(home) | 4-0 | Bundesliga |
How many goals should we expect?
Borussia Dortmund score 1.5 and concede 1.2 goals per match over their last 15; Red Bull Salzburg score 2.1 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Borussia Dortmund | 1.5 | 1.2 | 4 | 11/15 | 7/15 |
| Red Bull Salzburg | 2.1 | 0.6 | 9 | 6/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 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