Match

Pasaquina vs Chalatenango: result 1-1 and analysis

Primera DivisionClausura - 17Kick-off on April 10, 2019 at 09:30 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 April 10, 2019.

Goalscorers

  • 59′M. MárquezChalatenango
  • 69′Jeison Arley Quiñónez AnguloPasaquina

What is the recent form of both teams?

Over their last 15 matches in all competitions, Pasaquina have 4 wins, 5 draws and 6 defeats; Chalatenango have 5, 5 and 5.

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

Pasaquina
DateOpponentScoreCompetition
Apr 7, 2019Firpo(away)1-0Primera Division
Apr 4, 2019Sonsonate(away)0-1Primera Division
Mar 31, 2019Jocoro(home)2-3Primera Division
Mar 17, 2019Santa Tecla(home)0-3Primera Division
Mar 10, 2019Audaz(home)1-0Primera Division
Chalatenango
DateOpponentScoreCompetition
Apr 7, 2019Santa Tecla(home)0-2Primera Division
Apr 4, 2019FAS(away)0-2Primera Division
Mar 31, 2019Audaz(away)0-0Primera Division
Mar 17, 2019Municipal Limeño(home)1-1Primera Division
Mar 10, 2019Alianza(home)2-0Primera Division

What does the head-to-head say?

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

DateScoreCompetition
Feb 14, 2019Chalatenango 2-0 PasaquinaPrimera Division
Sep 30, 2018Chalatenango 0-1 PasaquinaPrimera Division
Jul 29, 2018Pasaquina 1-1 ChalatenangoPrimera Division
Mar 24, 2018Chalatenango 1-3 PasaquinaPrimera Division
Jan 27, 2018Pasaquina 0-2 ChalatenangoPrimera Division
Oct 29, 2017Chalatenango 0-0 PasaquinaPrimera Division

Last archived meeting: Chalatenango vs Pasaquina on Feb 14, 2019

How many goals should we expect?

Pasaquina score 0.9 and concede 1.4 goals per match over their last 15; Chalatenango score 0.7 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Pasaquina0.91.456/156/15
Chalatenango0.70.774/152/15

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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