Match

Boulogne vs Quevilly: result 2-1 and analysis

Ligue 3Regular Season - 31Kick-off on April 19, 2019 at 06:00 PM (UTC)Stade de la Libération, Boulogne-sur-Mer

Boulogne
2-1
Quevilly

Full time

What was the result of Boulogne vs Quevilly?

Boulogne won 2-1 on April 19, 2019.

Goalscorers

  • 36′Emanuel Robert MaahBoulogne
  • 62′Emanuel Robert MaahBoulogne (pen.)
  • 79′S. OliveiraQuevilly

What is the recent form of both teams?

Over their last 15 matches in all competitions, Boulogne have 3 wins, 7 draws and 5 defeats; Quevilly have 3, 6 and 6.

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

Boulogne
DateOpponentScoreCompetition
Apr 11, 2019Rodez(away)1-3Ligue 3
Apr 5, 2019Tours(home)1-1Ligue 3
Mar 29, 2019Villefranche(away)1-2Ligue 3
Mar 21, 2019PAU(home)1-1Ligue 3
Mar 15, 2019Le Mans(away)3-2Ligue 3
Quevilly
DateOpponentScoreCompetition
Apr 12, 2019Concarneau(home)3-1Ligue 3
Apr 5, 2019Rodez(home)0-1Ligue 3
Mar 29, 2019Tours(away)1-1Ligue 3
Mar 21, 2019Villefranche(home)1-3Ligue 3
Mar 15, 2019PAU(away)0-3Ligue 3

What does the head-to-head say?

Across the last 6 meetings: 1 Boulogne win, 4 draws, 1 Quevilly win.

DateScoreCompetition
Nov 30, 2018Quevilly 0-0 BoulogneLigue 3
Mar 11, 2017Boulogne 2-2 QuevillyLigue 3
Sep 24, 2016Quevilly 2-1 BoulogneLigue 3
Feb 10, 2015Boulogne 2-0 QuevillyCoupe de France
Mar 19, 2013Boulogne 2-2 QuevillyLigue 3
Aug 17, 2012Quevilly 2-2 BoulogneLigue 3

Last archived meeting: Quevilly vs Boulogne on Nov 30, 2018

How many goals should we expect?

Boulogne score 0.9 and concede 1.1 goals per match over their last 15; Quevilly score 0.9 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Boulogne0.91.149/154/15
Quevilly0.91.339/156/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
13Quevilly924381210

A question about Boulogne vs Quevilly?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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