Celtic vs Paris Saint Germain: result 0-5 and analysis
UEFA Champions LeagueGroup Stage - 1Kick-off on September 12, 2017 at 06:45 PM (UTC)Celtic Park, Glasgow
Full time
What was the result of Celtic vs Paris Saint Germain?
Paris Saint Germain won 0-5 on September 12, 2017.
Goalscorers
- 19′NeymarParis Saint Germain
- 34′Kylian MbappéParis Saint Germain
- 40′E. CavaniParis Saint Germain (pen.)
- 83′M. LustigParis Saint Germain (o.g.)
- 85′E. CavaniParis Saint Germain
What is the recent form of both teams?
Over their last 15 matches in all competitions, Celtic have 12 wins, 2 draws and 1 defeats; Paris Saint Germain have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2017 | Hamilton Academical(away) | 4-1 | Premiership |
| Aug 26, 2017 | ST Johnstone(home) | 1-1 | Premiership |
| Aug 22, 2017 | FC Astana(away) | 3-4 | UEFA Champions League |
| Aug 19, 2017 | Kilmarnock(away) | 2-0 | Premiership |
| Aug 16, 2017 | FC Astana(home) | 5-0 | UEFA Champions League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2017 | Metz(away) | 5-1 | Ligue 1 |
| Aug 25, 2017 | Saint Etienne(home) | 3-0 | Ligue 1 |
| Aug 20, 2017 | Toulouse(home) | 6-2 | Ligue 1 |
| Aug 13, 2017 | Guingamp(away) | 3-0 | Ligue 1 |
| Aug 5, 2017 | Amiens(home) | 2-0 | Ligue 1 |
How many goals should we expect?
Celtic score 2.8 and concede 0.5 goals per match over their last 15; Paris Saint Germain score 2.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Celtic | 2.8 | 0.5 | 10 | 5/15 | 8/15 |
| Paris Saint Germain | 2.9 | 1.1 | 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