Match

Firpo vs Pasaquina: result 3-2 and analysis

Primera DivisionClausura - 2Kick-off on January 22, 2017 at 12:30 AM (UTC)Estadio Sergio Torres Rivera, Usulután

Firpo
3-2
Pasaquina

Full time

What was the result of Firpo vs Pasaquina?

Firpo won 3-2 on January 22, 2017.

Goalscorers

  • 14′Javier Benito Lezcano ObregónPasaquina (pen.)
  • 39′B. LandaverdeFirpo
  • 74′Pierre Alexandre Pluchino GaluppoFirpo
  • 81′Javier Benito Lezcano ObregónPasaquina
  • 87′C. FloresFirpo

What is the recent form of both teams?

Over their last 15 matches in all competitions, Firpo have 6 wins, 3 draws and 6 defeats; Pasaquina have 4, 4 and 7.

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

Firpo
DateOpponentScoreCompetition
Jan 15, 2017Águila(away)2-5Primera Division
Nov 26, 2016Alianza(home)0-4Primera Division
Nov 20, 2016UES(away)2-1Primera Division
Nov 13, 2016Sonsonate(home)0-1Primera Division
Nov 6, 2016Isidro Metapán(away)3-2Primera Division
Pasaquina
DateOpponentScoreCompetition
Jan 14, 2017Alianza(home)1-1Primera Division
Dec 4, 2016Sonsonate(away)0-1Primera Division
Nov 30, 2016Sonsonate(home)2-1Primera Division
Nov 26, 2016UES(home)0-0Primera Division
Nov 20, 2016Sonsonate(away)1-4Primera Division

What does the head-to-head say?

Across the last 2 meetings: 2 Firpo wins, 0 draws, 0 Pasaquina wins.

DateScoreCompetition
Oct 8, 2016Pasaquina 0-4 FirpoPrimera Division
Aug 7, 2016Firpo 1-0 PasaquinaPrimera Division

Last archived meeting: Pasaquina vs Firpo on Oct 8, 2016

How many goals should we expect?

Firpo score 1.7 and concede 1.8 goals per match over their last 15; Pasaquina score 1.3 and concede 1.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Firpo1.71.849/1511/15
Pasaquina1.31.8211/1510/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
1Firpo181062321336

A question about Firpo vs Pasaquina?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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