Match

Montceau vs Roche Novillars: result 5-2 and analysis

National 3 - Group EGroup E - 12Kick-off on December 14, 2019 at 05:00 PM (UTC)Stade des Alouettes, Montceau-les-Mines

Montceau
5-2
Roche Novillars

Full time

What was the result of Montceau vs Roche Novillars?

Montceau won 5-2 on December 14, 2019.

Goalscorers

  • 20′A. RougeotMontceau
  • 25′Anthony de Oliveira MaiaMontceau
  • 46′A. RougeotMontceau
  • 55′193799Roche Novillars
  • 66′176410Roche Novillars
  • 68′Anthony de Oliveira MaiaMontceau
  • 78′Jérémy CrétinMontceau

What is the recent form of both teams?

Over their last 15 matches in all competitions, Montceau have 6 wins, 1 draws and 8 defeats; Roche Novillars have 0, 3 and 10.

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

Montceau
DateOpponentScoreCompetition
Dec 7, 2019Besançon(home)3-0Coupe de France
Nov 30, 2019Dijon II(away)1-3National 3 - Group E
Nov 23, 2019Selongey(home)2-0National 3 - Group E
Nov 16, 2019Geispolsheim(home)4-2Coupe de France
Nov 9, 2019Morteau Montlebon(away)0-2National 3 - Group E
Roche Novillars
DateOpponentScoreCompetition
Dec 1, 2019Besançon(home)1-2National 3 - Group E
Nov 23, 2019Jura Dolois(away)1-3National 3 - Group E
Nov 10, 2019Sens(home)1-3National 3 - Group E
Nov 2, 2019Pontarlier(away)0-2National 3 - Group E
Oct 20, 2019Auxerre II(home)1-1National 3 - Group E

What does the head-to-head say?

Across the last 1 meetings: 1 Montceau win(s), 0 draw(s), 0 Roche Novillars win(s).

DateScoreCompetition
Nov 17, 2012Roche Novillars 0-3 MontceauCoupe de France

Last archived meeting: Roche Novillars vs Montceau on Nov 17, 2012

How many goals should we expect?

Montceau score 1.9 and concede 1.9 goals per match over their last 15; Roche Novillars score 0.7 and concede 2.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Montceau1.91.9311/1512/15
Roche Novillars0.72.309/138/13

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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