Match

Sonsonate vs Pasaquina: result 1-2 and analysis

Primera DivisionApertura - 2Kick-off on August 5, 2018 at 12:30 AM (UTC)Estadio Anna Mercedes Campos, Sonsonate

Sonsonate
1-2
Pasaquina

Full time

What was the result of Sonsonate vs Pasaquina?

Pasaquina won 1-2 on August 5, 2018.

Goalscorers

  • 14′A. ColmánPasaquina
  • 52′SassáSonsonate
  • 84′Gerardo Enrique Iraheta GomezPasaquina

What is the recent form of both teams?

Over their last 15 matches in all competitions, Sonsonate have 3 wins, 3 draws and 9 defeats; Pasaquina have 4, 4 and 7.

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

Sonsonate
DateOpponentScoreCompetition
Jul 28, 2018Águila(away)0-4Primera Division
May 6, 2018Alianza(away)0-4Primera Division
May 4, 2018Alianza(home)0-1Primera Division
May 2, 2018Dragon(home)3-2Primera Division
Apr 28, 2018Chalatenango(away)1-2Primera Division
Pasaquina
DateOpponentScoreCompetition
Jul 29, 2018Chalatenango(home)1-1Primera Division
Apr 28, 2018Águila(home)0-3Primera Division
Apr 22, 2018Sonsonate(away)0-3Primera Division
Apr 19, 2018Isidro Metapán(home)1-0Primera Division
Apr 15, 2018Municipal Limeño(away)1-1Primera Division

What does the head-to-head say?

Across the last 6 meetings: 2 Sonsonate win(s), 0 draw(s), 4 Pasaquina win(s).

DateScoreCompetition
Apr 22, 2018Sonsonate 3-0 PasaquinaPrimera Division
Feb 24, 2018Pasaquina 1-0 SonsonatePrimera Division
Oct 21, 2017Pasaquina 4-3 SonsonatePrimera Division
Aug 20, 2017Sonsonate 0-1 PasaquinaPrimera Division
Apr 23, 2017Sonsonate 1-0 PasaquinaPrimera Division
Feb 25, 2017Pasaquina 2-1 SonsonatePrimera Division

Last archived meeting: Sonsonate vs Pasaquina on Apr 22, 2018

How many goals should we expect?

Sonsonate score 1.0 and concede 1.9 goals per match over their last 15; Pasaquina score 0.9 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sonsonate1.01.927/1510/15
Pasaquina0.91.527/157/15

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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