Match

AS Puma Generalena vs Curridabat FC: result 3-2 and analysis

Liga de AscensoApertura - 4Kick-off on August 10, 2019 at 07:00 PM (UTC)Estadio Municipal de Jacó, Jacó

AS Puma Generalena
3-2
Curridabat FC

Full time

What was the result of AS Puma Generalena vs Curridabat FC?

AS Puma Generalena won 3-2 on August 10, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, AS Puma Generalena have 4 wins, 7 draws and 4 defeats; Curridabat FC have 6, 3 and 6.

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

AS Puma Generalena
DateOpponentScoreCompetition
Aug 7, 2019Futbol Consultants Moravia(away)1-1Liga de Ascenso
Aug 3, 2019Sporting San Jose(home)1-0Liga de Ascenso
Jul 28, 2019Puerto Golfito(away)0-0Liga de Ascenso
May 5, 2019ADR Jicaral(away)0-1Liga de Ascenso
May 1, 2019ADR Jicaral(home)0-0Liga de Ascenso
Curridabat FC
DateOpponentScoreCompetition
Aug 7, 2019Turrialba Fc(home)2-1Liga de Ascenso
Aug 4, 2019Futbol Consultants Moravia(home)1-1Liga de Ascenso
Jul 28, 2019Sporting San Jose(away)2-1Liga de Ascenso
Apr 14, 2019AS Puma Generalena(away)0-1Liga de Ascenso
Apr 6, 2019Escazucena(home)1-0Liga de Ascenso

What does the head-to-head say?

Across the last 4 meetings: 3 AS Puma Generalena win(s), 1 draw(s), 0 Curridabat FC win(s).

DateScoreCompetition
Apr 14, 2019AS Puma Generalena 1-0 Curridabat FCLiga de Ascenso
Mar 2, 2019Curridabat FC 0-2 AS Puma GeneralenaLiga de Ascenso
Nov 4, 2018Curridabat FC 1-1 AS Puma GeneralenaLiga de Ascenso
Sep 8, 2018AS Puma Generalena 5-2 Curridabat FCLiga de Ascenso

Last archived meeting: AS Puma Generalena vs Curridabat FC on Apr 14, 2019

How many goals should we expect?

AS Puma Generalena score 0.5 and concede 0.7 goals per match over their last 15; Curridabat FC score 1.1 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
AS Puma Generalena0.50.783/151/15
Curridabat FC1.11.338/157/15

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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