Match

Rennes vs Paris Saint Germain: result 0-4 and analysis

Coupe de France16th FinalsKick-off on February 1, 2017 at 08:00 PM (UTC)Roazhon Park, Rennes

Rennes
0-4
Paris Saint Germain

Full time

What was the result of Rennes vs Paris Saint Germain?

Paris Saint Germain won 0-4 on February 1, 2017.

Goalscorers

  • 27′J. DraxlerParis Saint Germain
  • 38′Lucas MouraParis Saint Germain
  • 68′J. DraxlerParis Saint Germain
  • 90′H. Ben ArfaParis Saint Germain

What is the recent form of both teams?

Over their last 15 matches in all competitions, Rennes have 5 wins, 4 draws and 6 defeats; Paris Saint Germain have 9, 4 and 2.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Rennes
DateOpponentScoreCompetition
Jan 28, 2017Nantes(home)1-1Ligue 1
Jan 21, 2017Guingamp(away)1-1Ligue 1
Jan 14, 2017Paris Saint Germain(home)0-1Ligue 1
Jan 8, 2017Biarritz(away)6-0Coupe de France
Dec 21, 2016Lille(away)1-1Ligue 1
Paris Saint Germain
DateOpponentScoreCompetition
Jan 29, 2017Monaco(home)1-1Ligue 1
Jan 24, 2017Bordeaux(away)4-1Coupe de la Ligue
Jan 21, 2017Nantes(away)2-0Ligue 1
Jan 14, 2017Rennes(away)1-0Ligue 1
Jan 11, 2017Metz(home)2-0Coupe de la Ligue

What does the head-to-head say?

Across the last 6 meetings: 0 Rennes win(s), 1 draw(s), 5 Paris Saint Germain win(s).

DateScoreCompetition
Jan 14, 2017Rennes 0-1 Paris Saint GermainLigue 1
Nov 6, 2016Paris Saint Germain 4-0 RennesLigue 1
Apr 29, 2016Paris Saint Germain 4-0 RennesLigue 1
Oct 30, 2015Rennes 0-1 Paris Saint GermainLigue 1
Jan 30, 2015Paris Saint Germain 1-0 RennesLigue 1
Sep 13, 2014Rennes 1-1 Paris Saint GermainLigue 1

Last archived meeting: Rennes vs Paris Saint Germain on Jan 14, 2017

How many goals should we expect?

Rennes score 1.3 and concede 1.5 goals per match over their last 15; Paris Saint Germain score 2.4 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Rennes1.31.547/156/15
Paris Saint Germain2.41.068/1510/15

Over the last 15 matches in all competitions.

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

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