RB Leipzig vs Paris Saint Germain: result 0-3 and analysis
UEFA Champions LeagueSemi-finalsKick-off on August 18, 2020 at 07:00 PM (UTC)Red Bull Arena, Leipzig
Full time
What was the result of RB Leipzig vs Paris Saint Germain?
Paris Saint Germain won 0-3 on August 18, 2020.
Goalscorers
- 13′MarquinhosParis Saint Germain
- 42′Á. Di MaríaParis Saint Germain
- 56′Juan BernatParis Saint Germain
What is the recent form of both teams?
Over their last 15 matches in all competitions, RB Leipzig have 7 wins, 7 draws and 1 defeats; Paris Saint Germain have 12, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 13, 2020 | Atletico Madrid(home) | 2-1 | UEFA Champions League |
| Jul 30, 2020 | VfL Wolfsburg(home) | 1-1 | Friendlies Clubs |
| Jun 27, 2020 | FC Augsburg(away) | 2-1 | Bundesliga |
| Jun 20, 2020 | Borussia Dortmund(home) | 0-2 | Bundesliga |
| Jun 17, 2020 | Fortuna Düsseldorf(home) | 2-2 | Bundesliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 12, 2020 | Atalanta(away) | 2-1 | UEFA Champions League |
| Aug 5, 2020 | Sochaux(home) | 1-0 | Friendlies Clubs |
| Jul 31, 2020 | Lyon(home) | 0-0 | Coupe de la Ligue |
| Jul 24, 2020 | Saint Etienne(home) | 1-0 | Coupe de France |
| Jul 21, 2020 | Celtic(home) | 4-0 | Friendlies Clubs |
How many goals should we expect?
RB Leipzig score 2.1 and concede 0.9 goals per match over their last 15; Paris Saint Germain score 3.3 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| RB Leipzig | 2.1 | 0.9 | 5 | 9/15 | 8/15 |
| Paris Saint Germain | 3.3 | 1.0 | 7 | 8/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Paris Saint Germain | 8 | 4 | 2 | 2 | 21 | 11 | 14 |
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