Paris Saint Germain vs Dynamo Kyiv: result 4-1 and analysis
UEFA Champions LeagueGroup stage - 1Kick-off on September 18, 2012 at 06:45 PM (UTC)Parc des Princes, Paris
Full time
What was the result of Paris Saint Germain vs Dynamo Kyiv?
Paris Saint Germain won 4-1 on September 18, 2012.
Goalscorers
- 19′Z. IbrahimovićParis Saint Germain (pen.)
- 29′Thiago SilvaParis Saint Germain
- 33′AlexParis Saint Germain
- 87′Miguel VelosoDynamo Kyiv
- 90′J. PastoreParis Saint Germain
What is the recent form of both teams?
Over their last 15 matches in all competitions, Paris Saint Germain have 8 wins, 5 draws and 2 defeats; Dynamo Kyiv 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 14, 2012 | Toulouse(home) | 2-0 | Ligue 1 |
| Sep 2, 2012 | Lille(away) | 2-1 | Ligue 1 |
| Aug 26, 2012 | Bordeaux(home) | 0-0 | Ligue 1 |
| Aug 19, 2012 | Ajaccio(away) | 0-0 | Ligue 1 |
| Aug 11, 2012 | Lorient(home) | 2-2 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2012 | Karpaty(home) | 3-1 | Premier League |
| Sep 2, 2012 | Shakhtar Donetsk(away) | 1-3 | Premier League |
| Aug 29, 2012 | Borussia Mönchengladbach(home) | 1-2 | UEFA Champions League |
| Aug 25, 2012 | Chornomorets(home) | 2-0 | Premier League |
| Aug 21, 2012 | Borussia Mönchengladbach(away) | 3-1 | UEFA Champions League |
How many goals should we expect?
Paris Saint Germain score 1.9 and concede 1.0 goals per match over their last 15; Dynamo Kyiv score 1.6 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Paris Saint Germain | 1.9 | 1.0 | 5 | 10/15 | 9/15 |
| Dynamo Kyiv | 1.6 | 0.8 | 6 | 8/15 | 7/15 |
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