Match

Pasaquina vs Sonsonate: result 2-1 and analysis

Primera DivisionClausura - 10Kick-off on February 25, 2017 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 February 25, 2017.

Goalscorers

  • 27′Javier Benito Lezcano ObregónPasaquina
  • 85′108995Sonsonate
  • 90′Jefferson BernándezPasaquina

What is the recent form of both teams?

Over their last 15 matches in all competitions, Pasaquina have 2 wins, 6 draws and 7 defeats; Sonsonate have 6, 3 and 6.

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

Pasaquina
DateOpponentScoreCompetition
Feb 23, 2017Isidro Metapán(away)1-1Primera Division
Feb 18, 2017Municipal Limeño(home)0-1Primera Division
Feb 11, 2017Dragon(away)2-2Primera Division
Feb 8, 2017Chalatenango(home)2-1Primera Division
Feb 4, 2017Santa Tecla(away)0-1Primera Division
Sonsonate
DateOpponentScoreCompetition
Feb 23, 2017Firpo(home)2-2Primera Division
Feb 19, 2017Alianza(away)1-2Primera Division
Feb 12, 2017UES(home)0-1Primera Division
Feb 9, 2017Águila(home)0-2Primera Division
Feb 5, 2017Isidro Metapán(away)2-1Primera Division

What does the head-to-head say?

Across the last 6 meetings: 2 Pasaquina win(s), 1 draw(s), 3 Sonsonate win(s).

DateScoreCompetition
Dec 4, 2016Sonsonate 1-0 PasaquinaPrimera Division
Nov 30, 2016Pasaquina 2-1 SonsonatePrimera Division
Nov 20, 2016Sonsonate 4-1 PasaquinaPrimera Division
Sep 21, 2016Pasaquina 0-2 SonsonatePrimera Division
Mar 13, 2016Sonsonate 1-2 PasaquinaPrimera Division
Jan 16, 2016Pasaquina 3-3 SonsonatePrimera Division

Last archived meeting: Sonsonate vs Pasaquina on Dec 4, 2016

How many goals should we expect?

Pasaquina score 0.9 and concede 1.5 goals per match over their last 15; Sonsonate score 1.4 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Pasaquina0.91.5210/157/15
Sonsonate1.41.538/1510/15

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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