Match

Audaz vs Pasaquina: result 2-3 and analysis

Primera DivisionClausura - 22Kick-off on May 5, 2019 at 09:15 PM (UTC)

Audaz
2-3
Pasaquina

Full time

What was the result of Audaz vs Pasaquina?

Pasaquina won 2-3 on May 5, 2019.

Goalscorers

  • 18′Dilan Esteban Lloreda CastilloPasaquina
  • 67′Christian Alexander Sánchez ViscarraAudaz (pen.)
  • 72′Eduardo Alvaro Rodríguez LloredaAudaz
  • 76′Jeison Arley Quiñónez AnguloPasaquina
  • 81′D. RivasPasaquina

What is the recent form of both teams?

Over their last 15 matches in all competitions, Audaz have 4 wins, 4 draws and 7 defeats; Pasaquina have 3, 5 and 7.

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

Audaz
DateOpponentScoreCompetition
Apr 27, 2019Santa Tecla(away)1-2Primera Division
Apr 24, 2019Sonsonate(home)1-4Primera Division
Apr 21, 2019Águila(home)2-0Primera Division
Apr 18, 2019Firpo(away)0-0Primera Division
Apr 14, 2019FAS(away)1-0Primera Division
Pasaquina
DateOpponentScoreCompetition
Apr 27, 2019Águila(home)0-2Primera Division
Apr 24, 2019FAS(away)0-1Primera Division
Apr 21, 2019Municipal Limeño(home)1-1Primera Division
Apr 18, 2019Isidro Metapán(away)2-2Primera Division
Apr 14, 2019Alianza(away)2-1Primera Division

What does the head-to-head say?

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

DateScoreCompetition
Mar 10, 2019Pasaquina 1-0 AudazPrimera Division
Nov 4, 2018Audaz 2-1 PasaquinaPrimera Division
Sep 2, 2018Pasaquina 4-1 AudazPrimera Division
Mar 11, 2018Audaz 2-1 PasaquinaPrimera Division
Jan 13, 2018Pasaquina 3-0 AudazPrimera Division
Oct 8, 2017Audaz 2-2 PasaquinaPrimera Division

Last archived meeting: Pasaquina vs Audaz on Mar 10, 2019

How many goals should we expect?

Audaz score 1.0 and concede 1.3 goals per match over their last 15; Pasaquina score 0.8 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Audaz1.01.367/157/15
Pasaquina0.81.437/155/15

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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