Match

Pasaquina vs Chalatenango: result 1-1 and analysis

Primera DivisionApertura - 1Kick-off on July 29, 2018 at 09:00 PM (UTC)Estadio San Sebastian, Pasaquina

Pasaquina
1-1
Chalatenango

Full time

What was the result of Pasaquina vs Chalatenango?

Pasaquina and Chalatenango drew 1-1 on July 29, 2018.

Goalscorers

  • 21′R. RoccaChalatenango
  • 65′José Otoniel SalinasPasaquina (pen.)

What is the recent form of both teams?

Over their last 15 matches in all competitions, Pasaquina have 5 wins, 3 draws and 7 defeats; Chalatenango have 3, 3 and 9.

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

Pasaquina
DateOpponentScoreCompetition
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
Apr 8, 2018Alianza(home)0-3Primera Division
Chalatenango
DateOpponentScoreCompetition
Apr 28, 2018Sonsonate(home)2-1Primera Division
Apr 22, 2018Isidro Metapán(away)1-2Primera Division
Apr 19, 2018Municipal Limeño(home)0-2Primera Division
Apr 15, 2018Alianza(away)1-4Primera Division
Apr 7, 2018Dragon(away)1-1Primera Division

What does the head-to-head say?

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

DateScoreCompetition
Mar 24, 2018Chalatenango 1-3 PasaquinaPrimera Division
Jan 27, 2018Pasaquina 0-2 ChalatenangoPrimera Division
Oct 29, 2017Chalatenango 0-0 PasaquinaPrimera Division
Aug 27, 2017Pasaquina 2-1 ChalatenangoPrimera Division
Apr 6, 2017Chalatenango 1-1 PasaquinaPrimera Division
Feb 8, 2017Pasaquina 2-1 ChalatenangoPrimera Division

Last archived meeting: Chalatenango vs Pasaquina on Mar 24, 2018

How many goals should we expect?

Pasaquina score 0.9 and concede 1.5 goals per match over their last 15; Chalatenango score 1.1 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Pasaquina0.91.527/158/15
Chalatenango1.11.729/157/15

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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