Match

CA Furrial vs Gran Valencia: result 6-1 and analysis

Segunda DivisiónClausura - 10Kick-off on October 11, 2019 at 07:30 PM (UTC)

CA Furrial
6-1
Gran Valencia

Full time

What was the result of CA Furrial vs Gran Valencia?

CA Furrial won 6-1 on October 11, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, CA Furrial have 6 wins, 4 draws and 5 defeats; Gran Valencia have 7, 2 and 6.

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

CA Furrial
DateOpponentScoreCompetition
Oct 5, 2019Yaracuyanos FC(away)0-2Segunda División
Sep 27, 2019Libertador FC(home)1-0Segunda División
Sep 21, 2019Yaracuy FC(away)2-0Segunda División
Sep 13, 2019Petare FC(home)1-0Segunda División
Sep 7, 2019Gran Valencia(away)2-1Segunda División
Gran Valencia
DateOpponentScoreCompetition
Oct 5, 2019Yaracuy FC(home)1-5Segunda División
Sep 28, 2019Yaracuyanos FC(away)2-1Segunda División
Sep 22, 2019Petare FC(away)1-2Segunda División
Sep 14, 2019Libertador FC(home)2-1Segunda División
Sep 7, 2019CA Furrial(home)1-2Segunda División

What does the head-to-head say?

Across the last 6 meetings: 1 CA Furrial win(s), 0 draw(s), 5 Gran Valencia win(s).

DateScoreCompetition
Sep 7, 2019Gran Valencia 1-2 CA FurrialSegunda División
May 11, 2019Gran Valencia 3-2 CA FurrialSegunda División
Mar 31, 2019CA Furrial 1-5 Gran ValenciaSegunda División
Sep 30, 2018CA Furrial 0-1 Gran ValenciaSegunda División
Aug 4, 2018Gran Valencia 1-0 CA FurrialSegunda División
May 5, 2018Gran Valencia 2-0 CA FurrialSegunda División

Last archived meeting: Gran Valencia vs CA Furrial on Sep 7, 2019

How many goals should we expect?

CA Furrial score 1.2 and concede 1.3 goals per match over their last 15; Gran Valencia score 1.4 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
CA Furrial1.21.368/157/15
Gran Valencia1.41.5211/159/15

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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