Match

Marignane US vs Mont-de-Marsan: result 4-2 and analysis

National 2 - Group CRegular Season - 9Kick-off on November 2, 2013 at 05:00 PM (UTC)Stade Antoine de Saint-Exupéry, Marignane

Marignane US
4-2
Mont-de-Marsan

Full time

What was the result of Marignane US vs Mont-de-Marsan?

Marignane US won 4-2 on November 2, 2013.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Marignane US have 6 wins, 3 draws and 6 defeats; Mont-de-Marsan have 4, 5 and 6.

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

Marignane US
DateOpponentScoreCompetition
Oct 19, 2013Valence(away)1-1National 2 - Group C
Oct 5, 2013Beziers(home)2-2National 2 - Group C
Sep 21, 2013Athletico Marseille(away)0-4National 2 - Group C
Sep 14, 2013Grenoble(home)0-1National 2 - Group C
Sep 7, 2013Hyères(away)0-2National 2 - Group C
Mont-de-Marsan
DateOpponentScoreCompetition
Oct 19, 2013Nice II(home)3-3National 2 - Group C
Oct 5, 2013Rodez(away)0-0National 2 - Group C
Sep 21, 2013Martigues(home)1-3National 2 - Group C
Sep 14, 2013Cannes(away)2-3National 2 - Group C
Sep 7, 2013Le Pontet US(home)3-1National 2 - Group C

What does the head-to-head say?

Across the last 4 meetings: 2 Marignane US wins, 1 draw, 1 Mont-de-Marsan win.

DateScoreCompetition
Feb 9, 2013Mont-de-Marsan 1-2 Marignane USNational 2 - Group C
Aug 25, 2012Marignane US 1-0 Mont-de-MarsanNational 2 - Group C
Mar 17, 2012Marignane US 0-0 Mont-de-MarsanNational 2 - Group C
Sep 24, 2011Mont-de-Marsan 2-1 Marignane USNational 2 - Group C

Last archived meeting: Mont-de-Marsan vs Marignane US on Feb 9, 2013

How many goals should we expect?

Marignane US score 1.3 and concede 1.3 goals per match over their last 15; Mont-de-Marsan score 1.4 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Marignane US1.31.356/157/15
Mont-de-Marsan1.41.548/159/15

Over the last 15 matches in all competitions.

A question about Marignane US vs Mont-de-Marsan?

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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