Match

Gran Valencia vs CA Furrial: result 1-2 and analysis

Segunda DivisiónClausura - 5Kick-off on September 7, 2019 at 07:30 PM (UTC)Estadio Olímpico Florentino Oropeza, San Felipe

Gran Valencia
1-2
CA Furrial

Full time

What was the result of Gran Valencia vs CA Furrial?

CA Furrial won 1-2 on September 7, 2019.

What is the recent form of both teams?

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

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

Gran Valencia
DateOpponentScoreCompetition
Aug 31, 2019Yaracuy FC(away)0-1Segunda División
Aug 24, 2019Yaracuyanos FC(home)0-2Segunda División
Aug 17, 2019Petare FC(home)1-3Segunda División
Aug 11, 2019Libertador FC(away)1-1Segunda División
Jun 23, 2019Yaracuy FC(away)3-1Segunda División
CA Furrial
DateOpponentScoreCompetition
Aug 30, 2019Yaracuyanos FC(home)1-1Segunda División
Aug 25, 2019Libertador FC(away)1-2Segunda División
Aug 16, 2019Yaracuy FC(home)2-1Segunda División
Aug 11, 2019Petare FC(away)0-0Segunda División
May 11, 2019Gran Valencia(away)2-3Segunda División

What does the head-to-head say?

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

DateScoreCompetition
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
Mar 4, 2018CA Furrial 0-1 Gran ValenciaSegunda División

Last archived meeting: Gran Valencia vs CA Furrial on May 11, 2019

How many goals should we expect?

Gran Valencia score 1.4 and concede 1.3 goals per match over their last 15; CA Furrial score 1.1 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Gran Valencia1.41.3210/156/15
CA Furrial1.11.759/158/15

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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