Match

Sonsonate vs Pasaquina: result 4-1 and analysis

Primera DivisionApertura - 21Kick-off on November 20, 2016 at 09:00 PM (UTC)Estadio Anna Mercedes Campos, Sonsonate

Sonsonate
4-1
Pasaquina

Full time

What was the result of Sonsonate vs Pasaquina?

Sonsonate won 4-1 on November 20, 2016.

Goalscorers

  • 18′108995Sonsonate
  • 47′R. UlloaSonsonate
  • 60′Elman Alberto Rivas GarcíaSonsonate
  • 61′Raúl Antonio GuzmánPasaquina
  • 71′I. CastroSonsonate

What is the recent form of both teams?

Over their last 15 matches in all competitions, Sonsonate have 8 wins, 5 draws and 2 defeats; Pasaquina have 6, 2 and 7.

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

Sonsonate
DateOpponentScoreCompetition
Nov 13, 2016Firpo(away)1-0Primera Division
Nov 6, 2016Alianza(home)2-2Primera Division
Nov 2, 2016UES(away)3-2Primera Division
Oct 30, 2016Águila(away)0-0Primera Division
Oct 23, 2016Isidro Metapán(home)1-0Primera Division
Pasaquina
DateOpponentScoreCompetition
Nov 12, 2016Isidro Metapán(home)1-2Primera Division
Nov 6, 2016Municipal Limeño(away)1-3Primera Division
Nov 2, 2016Dragon(home)1-1Primera Division
Oct 30, 2016Chalatenango(away)1-2Primera Division
Oct 22, 2016Santa Tecla(home)2-0Primera Division

What does the head-to-head say?

Across the last 5 meetings: 1 Sonsonate win(s), 2 draw(s), 2 Pasaquina win(s).

DateScoreCompetition
Sep 21, 2016Pasaquina 0-2 SonsonatePrimera Division
Mar 13, 2016Sonsonate 1-2 PasaquinaPrimera Division
Jan 16, 2016Pasaquina 3-3 SonsonatePrimera Division
Oct 4, 2015Sonsonate 0-1 PasaquinaPrimera Division
Aug 1, 2015Pasaquina 1-1 SonsonatePrimera Division

Last archived meeting: Pasaquina vs Sonsonate on Sep 21, 2016

How many goals should we expect?

Sonsonate score 1.5 and concede 0.9 goals per match over their last 15; Pasaquina score 1.5 and concede 1.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sonsonate1.50.987/157/15
Pasaquina1.51.8310/1510/15

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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