Match

Siquinalá vs San Pedro: result 0-1 and analysis

Primera DivisionClausura - 10Kick-off on March 6, 2022 at 05:00 PM (UTC)Estadio Armando Barillas, Escuintla

Siquinalá
0-1
San Pedro

Full time

What was the result of Siquinalá vs San Pedro?

San Pedro won 0-1 on March 6, 2022.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Siquinalá have 2 wins, 6 draws and 7 defeats; San Pedro have 5, 7 and 3.

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

Siquinalá
DateOpponentScoreCompetition
Feb 26, 2022Deportivo Reu(home)1-0Primera Division
Feb 21, 2022Xinabajul(away)0-4Primera Division
Feb 16, 2022Plataneros(home)1-2Primera Division
Feb 12, 2022Quiché(home)0-1Primera Division
Feb 6, 2022Puerto San José(away)1-1Primera Division
San Pedro
DateOpponentScoreCompetition
Feb 27, 2022Quiché(away)1-1Primera Division
Feb 20, 2022Puerto San José(home)1-0Primera Division
Feb 17, 2022Amatitlán(away)0-0Primera Division
Feb 13, 2022Suchitepéquez(home)2-2Primera Division
Feb 6, 2022Marquense(away)0-2Primera Division

What does the head-to-head say?

Across the last 6 meetings: 2 Siquinalá win(s), 1 draw(s), 3 San Pedro win(s).

DateScoreCompetition
Jan 16, 2022San Pedro 3-1 SiquinaláPrimera Division
Oct 9, 2021Siquinalá 1-1 San PedroPrimera Division
Aug 22, 2021San Pedro 3-0 SiquinaláPrimera Division
Mar 19, 2017San Pedro 3-2 SiquinaláPrimera Division
Jan 22, 2017Siquinalá 2-1 San PedroPrimera Division
Nov 13, 2016San Pedro 0-2 SiquinaláPrimera Division

Last archived meeting: San Pedro vs Siquinalá on Jan 16, 2022

How many goals should we expect?

Siquinalá score 0.7 and concede 1.5 goals per match over their last 15; San Pedro score 1.3 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Siquinalá0.71.537/156/15
San Pedro1.30.966/155/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2024-25 standings
#ClubPWDLGFGAPts
2San Pedro18864261830

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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