Match

Feurs vs Montluçon: result 2-0 and analysis

National 3 - Group MAuvergne-Rhône-Alpes - 23Kick-off on April 29, 2023 at 04:00 PM (UTC)Stade Maurice Rousson, Feurs

Feurs
2-0
Montluçon

Full time

What was the result of Feurs vs Montluçon?

Feurs won 2-0 on April 29, 2023.

Goalscorers

  • 87′M. NdaoFeurs
  • 90′I. BaghoughFeurs

What is the recent form of both teams?

Over their last 15 matches in all competitions, Feurs have 6 wins, 7 draws and 2 defeats; Montluçon have 1, 2 and 12.

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

Feurs
DateOpponentScoreCompetition
Apr 22, 2023Clermont II(away)2-2National 3 - Group M
Apr 15, 2023Lyon Duchère II(home)2-1National 3 - Group M
Apr 1, 2023Ain Sud(away)1-3National 3 - Group M
Mar 25, 2023Hauts Lyonnais(home)2-1National 3 - Group M
Mar 18, 2023Bourgoin-Jallieu(away)0-1National 3 - Group M
Montluçon
DateOpponentScoreCompetition
Apr 22, 2023Lyon Duchère II(home)0-5National 3 - Group M
Apr 15, 2023Hauts Lyonnais(away)1-2National 3 - Group M
Apr 1, 2023Vaulx(home)0-1National 3 - Group M
Mar 25, 2023Chambéry(away)1-2National 3 - Group M
Mar 18, 2023Rumilly Vallières(home)0-6National 3 - Group M

What does the head-to-head say?

Across the last 1 meetings: 0 Feurs win(s), 1 draw(s), 0 Montluçon win(s).

DateScoreCompetition
Dec 3, 2022Montluçon 1-1 FeursNational 3 - Group M

Last archived meeting: Montluçon vs Feurs on Dec 3, 2022

How many goals should we expect?

Feurs score 1.3 and concede 0.9 goals per match over their last 15; Montluçon score 0.8 and concede 2.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Feurs1.30.968/157/15
Montluçon0.82.308/158/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Feurs sit 9th in National 3 - Group M (37 points from 26 matches) and Montluçon sit 14th (10 points from 26 matches).

2022-23 standings
#ClubPWDLGFGAPts
9Feurs269107333237
14Montluçon262420176710

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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