Match

Águila vs Pasaquina: result 0-0 and analysis

Primera DivisionApertura - 3Kick-off on August 11, 2016 at 01:30 AM (UTC)Estadio Juan Francisco Barraza, San Miguel

Águila
0-0
Pasaquina

Full time

What was the result of Águila vs Pasaquina?

Águila and Pasaquina drew 0-0 on August 11, 2016.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Águila have 9 wins, 2 draws and 4 defeats; Pasaquina have 5, 3 and 7.

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

Águila
DateOpponentScoreCompetition
Aug 7, 2016Municipal Limeño(away)2-1Primera Division
Jul 31, 2016Firpo(home)1-1Primera Division
May 29, 2016Dragon(home)0-1Primera Division
May 22, 2016Alianza(home)2-1Primera Division
May 20, 2016Alianza(away)1-0Primera Division
Pasaquina
DateOpponentScoreCompetition
Aug 7, 2016Firpo(away)0-1Primera Division
Jul 30, 2016Alianza(home)2-1Primera Division
May 14, 2016Santa Tecla(away)0-4Primera Division
May 11, 2016Santa Tecla(home)2-2Primera Division
May 7, 2016Dragon(home)3-1Primera Division

What does the head-to-head say?

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

DateScoreCompetition
Apr 14, 2016Águila 1-0 PasaquinaPrimera Division
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

Last archived meeting: Águila vs Pasaquina on Apr 14, 2016

How many goals should we expect?

Águila score 1.2 and concede 0.6 goals per match over their last 15; Pasaquina score 1.5 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Águila1.20.683/154/15
Pasaquina1.51.7012/1512/15

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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