Match

Águila vs Pasaquina: result 1-0 and analysis

Primera DivisionClausura - 17Kick-off on April 14, 2016 at 01:00 AM (UTC)Estadio Juan Francisco Barraza, San Miguel

Águila
1-0
Pasaquina

Full time

What was the result of Águila vs Pasaquina?

Águila won 1-0 on April 14, 2016.

Goalscorers

  • 88′M. CurielÁguila (pen.)

What is the recent form of both teams?

Over their last 15 matches in all competitions, Águila have 7 wins, 7 draws and 1 defeat; Pasaquina have 4, 3 and 8.

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

Águila
DateOpponentScoreCompetition
Apr 10, 2016Alianza(away)0-2Primera Division
Apr 3, 2016Isidro Metapán(home)0-0Primera Division
Mar 30, 2016UES(away)3-1Primera Division
Mar 20, 2016Sonsonate(home)3-1Primera Division
Mar 13, 2016Dragon(away)3-0Primera Division
Pasaquina
DateOpponentScoreCompetition
Apr 9, 2016Chalatenango(home)1-3Primera Division
Apr 3, 2016Alianza(home)2-2Primera Division
Mar 24, 2016Isidro Metapán(away)1-2Primera Division
Mar 18, 2016UES(away)2-3Primera Division
Mar 13, 2016Sonsonate(away)2-1Primera Division

What does the head-to-head say?

Across the last 6 meetings: 4 Águila wins, 2 draws, 0 Pasaquina wins.

DateScoreCompetition
Feb 10, 2016Pasaquina 0-1 ÁguilaPrimera Division
Dec 6, 2015Águila 1-0 PasaquinaPrimera Division
Dec 2, 2015Pasaquina 0-1 ÁguilaPrimera Division
Oct 29, 2015Águila 2-2 PasaquinaPrimera Division
Aug 26, 2015Pasaquina 1-1 ÁguilaPrimera Division
Apr 9, 2015Águila 3-0 PasaquinaPrimera Division

Last archived meeting: Pasaquina vs Águila on Feb 10, 2016

How many goals should we expect?

Águila score 1.3 and concede 0.7 goals per match over their last 15; Pasaquina score 0.9 and concede 1.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Águila1.30.777/156/15
Pasaquina0.91.837/157/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
4Águila18864342430

A question about Águila 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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