Match

Quevilly vs Croix Football IC: result 2-2 and analysis

National 2 - Group ARegular Season - 14Kick-off on December 19, 2015 at 05:00 PM (UTC)Stade Robert Diochon, Le Petit-Quevilly

Quevilly
2-2
Croix Football IC

Full time

What was the result of Quevilly vs Croix Football IC?

Quevilly and Croix Football IC drew 2-2 on December 19, 2015.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Quevilly have 6 wins, 6 draws and 3 defeats; Croix Football IC have 7, 4 and 4.

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

Quevilly
DateOpponentScoreCompetition
Dec 12, 2015Wasquehal(away)0-0National 2 - Group A
Dec 5, 2015Entente S St Gratien(away)1-2Coupe de France
Nov 28, 2015Poissy(home)1-5National 2 - Group A
Nov 20, 2015Lens(home)2-1Coupe de France
Nov 7, 2015Dieppe(home)0-0National 2 - Group A
Croix Football IC
DateOpponentScoreCompetition
Dec 12, 2015Poissy(away)1-2National 2 - Group A
Dec 5, 2015Sedan(away)1-2Coupe de France
Nov 28, 2015Dieppe(home)3-2National 2 - Group A
Nov 21, 2015Aubervilliers(away)1-1National 2 - Group A
Nov 15, 2015Saint-Amand(away)2-0Coupe de France

What does the head-to-head say?

Across the last 2 meetings: 2 Quevilly wins, 0 draws, 0 Croix Football IC wins.

DateScoreCompetition
Mar 14, 2015Quevilly 1-0 Croix Football ICNational 2 - Group A
Oct 18, 2014Croix Football IC 0-1 QuevillyNational 2 - Group A

Last archived meeting: Quevilly vs Croix Football IC on Mar 14, 2015

How many goals should we expect?

Quevilly score 1.1 and concede 0.9 goals per match over their last 15; Croix Football IC score 1.8 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Quevilly1.10.996/157/15
Croix Football IC1.81.3311/1510/15

Over the last 15 matches in all competitions.

A question about Quevilly vs Croix Football IC?

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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