Red Bull Salzburg vs Shkendija: result 3-0 and analysis
UEFA Champions League3rd Qualifying RoundKick-off on August 8, 2018 at 05:00 PM (UTC)Red Bull Arena, Wals-Siezenheim
Full time
What was the result of Red Bull Salzburg vs Shkendija?
Red Bull Salzburg won 3-0 on August 8, 2018.
Goalscorers
- 16′M. DabburRed Bull Salzburg (pen.)
- 45′M. DabburRed Bull Salzburg
- 81′D. SamassékouRed Bull Salzburg (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Red Bull Salzburg have 11 wins, 1 draws and 3 defeats; Shkendija have 11, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 4, 2018 | SV Mattersburg(away) | 2-0 | Bundesliga |
| Jul 29, 2018 | Lask Linz(home) | 3-1 | Bundesliga |
| Jul 22, 2018 | Oedt(away) | 6-0 | Cup |
| May 27, 2018 | Austria Vienna(away) | 0-4 | Bundesliga |
| May 20, 2018 | SV Mattersburg(home) | 1-0 | Bundesliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 31, 2018 | Sheriff Tiraspol(away) | 0-0 | UEFA Champions League |
| Jul 24, 2018 | Sheriff Tiraspol(home) | 1-0 | UEFA Champions League |
| Jul 17, 2018 | The New Saints(away) | 0-4 | UEFA Champions League |
| Jul 10, 2018 | The New Saints(home) | 5-0 | UEFA Champions League |
| May 20, 2018 | Pelister(home) | 4-0 | First League |
How many goals should we expect?
Red Bull Salzburg score 2.5 and concede 1.0 goals per match over their last 15; Shkendija score 2.7 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Red Bull Salzburg | 2.5 | 1.0 | 5 | 7/15 | 9/15 |
| Shkendija | 2.7 | 0.8 | 9 | 5/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 34 | Red Bull Salzburg | 8 | 1 | 0 | 7 | 5 | 27 | 3 |
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