Match

AS Puma Generalena vs AD Guanacasteca: result 1-1 and analysis

Liga de AscensoApertura - 9Kick-off on November 1, 2020 at 09:00 PM (UTC)Estadio Municipal de Puntarenas Miguel Ángel Lito Pérez Treacy, Puntarenas

AS Puma Generalena
1-1
AD Guanacasteca

Full time

What was the result of AS Puma Generalena vs AD Guanacasteca?

AS Puma Generalena and AD Guanacasteca drew 1-1 on November 1, 2020.

Goalscorers

  • 43′?AD Guanacasteca
  • 74′?AS Puma Generalena

What is the recent form of both teams?

Over their last 15 matches in all competitions, AS Puma Generalena have 2 wins, 9 draws and 4 defeats; AD Guanacasteca have 5, 7 and 3.

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

AS Puma Generalena
DateOpponentScoreCompetition
Oct 25, 2020AD Santa Rosa(away)1-0Liga de Ascenso
Oct 18, 2020Municipal Liberia(away)0-1Liga de Ascenso
Oct 3, 2020Univ. DE Costa Rica(home)0-0Liga de Ascenso
Sep 26, 2020AD Guanacasteca(away)2-2Liga de Ascenso
Sep 19, 2020AD Santa Rosa(home)1-1Liga de Ascenso
AD Guanacasteca
DateOpponentScoreCompetition
Oct 28, 2020Puntarenas FC(home)0-0Liga de Ascenso
Oct 24, 2020Municipal Liberia(home)1-0Liga de Ascenso
Oct 21, 2020Univ. DE Costa Rica(home)1-1Liga de Ascenso
Oct 4, 2020AD Santa Rosa(away)1-1Liga de Ascenso
Sep 26, 2020AS Puma Generalena(home)2-2Liga de Ascenso

What does the head-to-head say?

Across the last 1 meetings: 0 AS Puma Generalena win(s), 1 draw(s), 0 AD Guanacasteca win(s).

DateScoreCompetition
Sep 26, 2020AD Guanacasteca 2-2 AS Puma GeneralenaLiga de Ascenso

Last archived meeting: AD Guanacasteca vs AS Puma Generalena on Sep 26, 2020

How many goals should we expect?

AS Puma Generalena score 0.8 and concede 1.0 goals per match over their last 15; AD Guanacasteca score 1.2 and concede 1.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
AS Puma Generalena0.81.048/154/15
AD Guanacasteca1.21.248/155/15

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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