Match

Boulogne-Billancourt vs Croix Football IC: result 1-0 and analysis

National 2 - Group BRegular Season - 25Kick-off on April 8, 2017 at 04:00 PM (UTC)Complexe sportif Marcel Bec - Terrain 4, Meudon

Boulogne-Billancourt
1-0
Croix Football IC

Full time

What was the result of Boulogne-Billancourt vs Croix Football IC?

Boulogne-Billancourt won 1-0 on April 8, 2017.

What is the recent form of both teams?

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

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

Boulogne-Billancourt
DateOpponentScoreCompetition
Apr 5, 2017Viry Châtillon(away)2-0National 2 - Group B
Mar 29, 2017Drancy(away)2-2National 2 - Group B
Mar 25, 2017Amiens AC(away)0-3National 2 - Group B
Mar 22, 2017Fleury 91(away)0-2National 2 - Group B
Mar 18, 2017Poissy(home)1-1National 2 - Group B
Croix Football IC
DateOpponentScoreCompetition
Mar 25, 2017Lens II(home)1-3National 2 - Group B
Mar 18, 2017Arras(away)1-2National 2 - Group B
Mar 11, 2017St Maur Lusitanos(home)1-2National 2 - Group B
Mar 4, 2017Viry Châtillon(away)1-3National 2 - Group B
Mar 1, 2017Entente S St Gratien(away)1-1National 2 - Group B

What does the head-to-head say?

Across the last 3 meetings: 2 Boulogne-Billancourt win(s), 0 draw(s), 1 Croix Football IC win(s).

DateScoreCompetition
Nov 19, 2016Croix Football IC 1-4 Boulogne-BillancourtNational 2 - Group B
Jan 23, 2016Boulogne-Billancourt 2-0 Croix Football ICNational 2 - Group A
Aug 22, 2015Croix Football IC 4-1 Boulogne-BillancourtNational 2 - Group A

Last archived meeting: Croix Football IC vs Boulogne-Billancourt on Nov 19, 2016

How many goals should we expect?

Boulogne-Billancourt score 1.5 and concede 1.4 goals per match over their last 15; Croix Football IC score 1.7 and concede 1.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Boulogne-Billancourt1.51.457/158/15
Croix Football IC1.71.6411/1512/15

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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