Ludogorets vs Paris Saint Germain: result 1-3 and analysis
UEFA Champions LeagueGroup Stage - 2Kick-off on September 28, 2016 at 06:45 PM (UTC)Huvepharma Arena, Razgrad
Full time
What was the result of Ludogorets vs Paris Saint Germain?
Paris Saint Germain won 1-3 on September 28, 2016.
Goalscorers
- 15′NatanaelLudogorets
- 41′B. MatuidiParis Saint Germain
- 55′E. CavaniParis Saint Germain
- 60′E. CavaniParis Saint Germain
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ludogorets have 5 wins, 4 draws and 6 defeats; Paris Saint Germain have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 13, 2016 | FC Basel 1893(away) | 1-1 | UEFA Champions League |
| Aug 23, 2016 | Plzen(away) | 2-2 | UEFA Champions League |
| Aug 17, 2016 | Plzen(home) | 2-0 | UEFA Champions League |
| Aug 2, 2016 | FK Crvena Zvezda(away) | 4-2 | UEFA Champions League |
| Jul 26, 2016 | FK Crvena Zvezda(home) | 2-2 | UEFA Champions League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2016 | Toulouse(away) | 0-2 | Ligue 1 |
| Sep 20, 2016 | Dijon(home) | 3-0 | Ligue 1 |
| Sep 16, 2016 | Caen(away) | 6-0 | Ligue 1 |
| Sep 13, 2016 | Arsenal(home) | 1-1 | UEFA Champions League |
| Sep 9, 2016 | Saint Etienne(home) | 1-1 | Ligue 1 |
How many goals should we expect?
Ludogorets score 1.5 and concede 1.6 goals per match over their last 15; Paris Saint Germain score 2.6 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ludogorets | 1.5 | 1.6 | 4 | 8/15 | 10/15 |
| Paris Saint Germain | 2.6 | 0.9 | 6 | 8/15 | 10/15 |
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