Match

Dragon de Yaoundé vs UMS de Loum: result 1-0 and analysis

Elite OneRegular Season - 1Kick-off on February 12, 2018 at 02:30 PM (UTC)Stade de Ngoa Ekélé, Yaoundé

Dragon de Yaoundé
1-0
UMS de Loum

Full time

What was the result of Dragon de Yaoundé vs UMS de Loum?

Dragon de Yaoundé won 1-0 on February 12, 2018.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Dragon de Yaoundé have 4 wins, 4 draws and 7 defeats; UMS de Loum have 4, 7 and 4.

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

Dragon de Yaoundé
DateOpponentScoreCompetition
Oct 1, 2017Feutcheu(home)1-2Elite One
Sep 28, 2017Stade Renard(away)0-2Elite One
Sep 17, 2017Bamboutos(home)4-1Elite One
Sep 10, 2017Young Sport Academy(home)0-0Elite One
Sep 7, 2017Lion Blessé(away)1-0Elite One
UMS de Loum
DateOpponentScoreCompetition
Oct 1, 2017Eding Sport(home)2-1Elite One
Sep 28, 2017Union Douala(away)1-3Elite One
Sep 21, 2017Lion Blessé(home)0-0Elite One
Sep 13, 2017Stade Renard(away)1-1Elite One
Sep 7, 2017Cotonsport(home)0-0Elite One

What does the head-to-head say?

Across the last 4 meetings: 0 Dragon de Yaoundé wins, 0 draws, 4 UMS de Loum wins.

DateScoreCompetition
Jul 16, 2017UMS de Loum 1-0 Dragon de YaoundéElite One
Mar 26, 2017Dragon de Yaoundé 1-2 UMS de LoumElite One
Sep 4, 2016UMS de Loum 2-0 Dragon de YaoundéElite One
May 8, 2016Dragon de Yaoundé 0-1 UMS de LoumElite One

Last archived meeting: UMS de Loum vs Dragon de Yaoundé on Jul 16, 2017

How many goals should we expect?

Dragon de Yaoundé score 0.9 and concede 1.5 goals per match over their last 15; UMS de Loum score 0.8 and concede 0.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Dragon de Yaoundé0.91.528/157/15
UMS de Loum0.80.876/153/15

Over the last 15 matches in all competitions.

A question about Dragon de Yaoundé vs UMS de Loum?

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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