Match

Croix Football IC vs Sainte Geneviève: result 3-2 and analysis

National 2 - Group DRegular Season - 27Kick-off on May 4, 2019 at 04:00 PM (UTC)Stade Henri Seigneur, Croix

Croix Football IC
3-2
Sainte Geneviève

Full time

What was the result of Croix Football IC vs Sainte Geneviève?

Croix Football IC won 3-2 on May 4, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Croix Football IC have 5 wins, 3 draws and 7 defeats; Sainte Geneviève have 6, 2 and 7.

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

Croix Football IC
DateOpponentScoreCompetition
Apr 20, 2019Haguenau(away)2-0National 2 - Group D
Apr 13, 2019Schiltigheim(home)2-1National 2 - Group D
Apr 6, 2019Lille II(away)1-1National 2 - Group D
Mar 23, 2019Epinal(home)0-1National 2 - Group D
Mar 16, 2019St Maur Lusitanos(away)1-4National 2 - Group D
Sainte Geneviève
DateOpponentScoreCompetition
Apr 20, 2019Schiltigheim(home)2-1National 2 - Group D
Apr 13, 2019Epinal(away)0-2National 2 - Group D
Apr 6, 2019Creteil(home)1-3National 2 - Group D
Mar 23, 2019Bobigny(away)2-1National 2 - Group D
Mar 16, 2019Arras(home)4-2National 2 - Group D

What does the head-to-head say?

Across the last 3 meetings: 1 Croix Football IC win(s), 0 draw(s), 2 Sainte Geneviève win(s).

DateScoreCompetition
Dec 1, 2018Sainte Geneviève 2-5 Croix Football ICNational 2 - Group D
Apr 7, 2018Croix Football IC 0-2 Sainte GenevièveNational 2 - Group C
Nov 18, 2017Sainte Geneviève 1-0 Croix Football ICNational 2 - Group C

Last archived meeting: Sainte Geneviève vs Croix Football IC on Dec 1, 2018

How many goals should we expect?

Croix Football IC score 0.8 and concede 1.2 goals per match over their last 15; Sainte Geneviève score 1.3 and concede 1.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Croix Football IC0.81.264/154/15
Sainte Geneviève1.31.657/157/15

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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