Match

Pasaquina vs Sonsonate: result 2-1 and analysis

Primera DivisionClausura - 2Kick-off on January 19, 2019 at 09:00 PM (UTC)Estadio San Sebastian, Pasaquina

Pasaquina
2-1
Sonsonate

Full time

What was the result of Pasaquina vs Sonsonate?

Pasaquina won 2-1 on January 19, 2019.

Goalscorers

  • 80′K. CalderónPasaquina
  • 85′Jeison Arley Quiñónez AnguloPasaquina
  • 86′Armando Enrique Polo AguilarSonsonate

What is the recent form of both teams?

Over their last 15 matches in all competitions, Pasaquina have 3 wins, 5 draws and 7 defeats; Sonsonate have 1, 6 and 8.

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

Pasaquina
DateOpponentScoreCompetition
Jan 13, 2019Santa Tecla(away)2-2Primera Division
Nov 25, 2018Firpo(away)1-2Primera Division
Nov 22, 2018Águila(home)2-2Primera Division
Nov 11, 2018Alianza(away)1-4Primera Division
Nov 7, 2018Isidro Metapán(home)3-0Primera Division
Sonsonate
DateOpponentScoreCompetition
Jan 13, 2019Alianza(home)0-1Primera Division
Nov 25, 2018Alianza(away)0-1Primera Division
Nov 23, 2018Isidro Metapán(home)0-1Primera Division
Nov 11, 2018Audaz(away)0-0Primera Division
Nov 8, 2018Jocoro(home)0-0Primera Division

What does the head-to-head say?

Across the last 6 meetings: 4 Pasaquina win(s), 1 draw(s), 1 Sonsonate win(s).

DateScoreCompetition
Oct 24, 2018Pasaquina 0-0 SonsonatePrimera Division
Aug 5, 2018Sonsonate 1-2 PasaquinaPrimera Division
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

Last archived meeting: Pasaquina vs Sonsonate on Oct 24, 2018

How many goals should we expect?

Pasaquina score 1.1 and concede 1.6 goals per match over their last 15; Sonsonate score 0.7 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Pasaquina1.11.648/159/15
Sonsonate0.71.546/155/15

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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