Match

Rennes vs Paris Saint Germain: result 2-3 and analysis

Coupe de la LigueSemi-finalsKick-off on January 30, 2018 at 08:05 PM (UTC)Roazhon Park, Rennes

Rennes
2-3
Paris Saint Germain

Full time

What was the result of Rennes vs Paris Saint Germain?

Paris Saint Germain won 2-3 on January 30, 2018.

Goalscorers

  • 24′T. MeunierParis Saint Germain
  • 53′MarquinhosParis Saint Germain
  • 58′G. Lo CelsoParis Saint Germain
  • 85′D. SakhoRennes
  • 90′S. PrcićRennes

What is the recent form of both teams?

Over their last 15 matches in all competitions, Rennes have 7 wins, 2 draws and 6 defeats; Paris Saint Germain have 12, 0 and 3.

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

Rennes
DateOpponentScoreCompetition
Jan 26, 2018Dijon(away)1-2Ligue 1
Jan 20, 2018Angers(home)1-0Ligue 1
Jan 17, 2018Lille(away)2-1Ligue 1
Jan 13, 2018Marseille(home)0-3Ligue 1
Jan 10, 2018Toulouse(home)4-2Coupe de la Ligue
Paris Saint Germain
DateOpponentScoreCompetition
Jan 27, 2018Montpellier(home)4-0Ligue 1
Jan 24, 2018Guingamp(home)4-2Coupe de France
Jan 21, 2018Lyon(away)1-2Ligue 1
Jan 17, 2018Dijon(home)8-0Ligue 1
Jan 14, 2018Nantes(away)1-0Ligue 1

What does the head-to-head say?

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

DateScoreCompetition
Jan 7, 2018Rennes 1-6 Paris Saint GermainCoupe de France
Dec 16, 2017Rennes 1-4 Paris Saint GermainLigue 1
Feb 1, 2017Rennes 0-4 Paris Saint GermainCoupe de France
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

Last archived meeting: Rennes vs Paris Saint Germain on Jan 7, 2018

How many goals should we expect?

Rennes score 1.5 and concede 1.8 goals per match over their last 15; Paris Saint Germain score 3.1 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Rennes1.51.8311/1511/15
Paris Saint Germain3.11.1510/1512/15

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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