Match

Escazucena vs AS Puma Generalena: result 1-2 and analysis

Liga de AscensoClausura - 6Kick-off on February 16, 2019 at 08:00 PM (UTC)Estadio Nicolás Masis Quesada, San José

Escazucena
1-2
AS Puma Generalena

Full time

What was the result of Escazucena vs AS Puma Generalena?

AS Puma Generalena won 1-2 on February 16, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Escazucena have 5 wins, 5 draws and 5 defeats; AS Puma Generalena have 2, 7 and 6.

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

Escazucena
DateOpponentScoreCompetition
Feb 3, 2019CS Uruguay(away)3-2Liga de Ascenso
Jan 26, 2019Aserri FC(home)1-1Liga de Ascenso
Jan 20, 2019Puerto Golfito(away)0-0Liga de Ascenso
Jan 12, 2019Cariari Pococi(home)4-0Liga de Ascenso
Nov 18, 2018Puntarenas FC(away)0-3Liga de Ascenso
AS Puma Generalena
DateOpponentScoreCompetition
Feb 9, 2019CS Uruguay(home)1-0Liga de Ascenso
Feb 2, 2019Aserri FC(away)1-2Liga de Ascenso
Jan 26, 2019Puerto Golfito(home)2-2Liga de Ascenso
Jan 20, 2019Cariari Pococi(away)1-1Liga de Ascenso
Jan 12, 2019Sporting San Jose(home)0-0Liga de Ascenso

What does the head-to-head say?

Across the last 2 meetings: 0 Escazucena wins, 1 draw, 1 AS Puma Generalena win.

DateScoreCompetition
Oct 13, 2018Escazucena 0-0 AS Puma GeneralenaLiga de Ascenso
Aug 22, 2018AS Puma Generalena 4-1 EscazucenaLiga de Ascenso

Last archived meeting: Escazucena vs AS Puma Generalena on Oct 13, 2018

How many goals should we expect?

Escazucena score 1.3 and concede 1.1 goals per match over their last 15; AS Puma Generalena score 1.2 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Escazucena1.31.157/157/15
AS Puma Generalena1.21.739/157/15

Over the last 15 matches in all competitions.

A question about Escazucena vs AS Puma Generalena?

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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