Match

UMS de Loum vs Feutcheu: result 2-0 and analysis

Elite OneChampionship Round - 3Kick-off on May 25, 2019 at 03:00 PM (UTC)Stade Municipal de Loum, Loum

UMS de Loum
2-0
Feutcheu

Full time

What was the result of UMS de Loum vs Feutcheu?

UMS de Loum won 2-0 on May 25, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, UMS de Loum have 7 wins, 5 draws and 3 defeats; Feutcheu have 6, 6 and 3.

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

UMS de Loum
DateOpponentScoreCompetition
May 18, 2019Stade Renard(home)1-0Elite One
May 12, 2019Dragon de Yaoundé(away)1-0Elite One
Apr 14, 2019Les Astres(home)1-0Elite One
Apr 10, 2019Eding Sport(away)1-1Elite One
Apr 7, 2019Young Sport Academy(home)0-0Elite One
Feutcheu
DateOpponentScoreCompetition
May 19, 2019Dragon de Yaoundé(home)0-1Elite One
May 13, 2019Cotonsport(away)0-1Elite One
Apr 14, 2019Young Sport Academy(home)2-1Elite One
Apr 10, 2019Unisport Bafang(away)1-0Elite One
Apr 3, 2019Fortuna Mfou(home)1-0Elite One

What does the head-to-head say?

Across the last 6 meetings: 1 UMS de Loum win, 4 draws, 1 Feutcheu win.

DateScoreCompetition
Mar 31, 2019UMS de Loum 0-1 FeutcheuElite One
Feb 10, 2019Feutcheu 1-1 UMS de LoumElite One
Jun 13, 2018Feutcheu 0-0 UMS de LoumElite One
Mar 18, 2018UMS de Loum 0-0 FeutcheuElite One
Jun 28, 2017UMS de Loum 0-0 FeutcheuElite One
Mar 1, 2017Feutcheu 0-1 UMS de LoumElite One

Last archived meeting: UMS de Loum vs Feutcheu on Mar 31, 2019

How many goals should we expect?

UMS de Loum score 0.7 and concede 0.3 goals per match over their last 15; Feutcheu score 0.8 and concede 0.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
UMS de Loum0.70.3102/150/15
Feutcheu0.80.675/153/15

Over the last 15 matches in all competitions.

A question about UMS de Loum vs Feutcheu?

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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