Match

Pasaquina vs Águila: result 0-1 and analysis

Primera DivisionClausura - 6Kick-off on February 10, 2016 at 09:00 PM (UTC)Estadio San Sebastian, Pasaquina

Pasaquina
0-1
Águila

Full time

What was the result of Pasaquina vs Águila?

Águila won 0-1 on February 10, 2016.

Goalscorers

  • 79′H. RomeroÁguila

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; Águila have 6, 7 and 2.

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

Pasaquina
DateOpponentScoreCompetition
Feb 7, 2016Chalatenango(away)0-1Primera Division
Jan 31, 2016Alianza(away)1-1Primera Division
Jan 27, 2016Isidro Metapán(home)1-0Primera Division
Jan 21, 2016UES(home)2-0Primera Division
Jan 16, 2016Sonsonate(home)3-3Primera Division
Águila
DateOpponentScoreCompetition
Feb 7, 2016Alianza(home)0-0Primera Division
Jan 31, 2016Isidro Metapán(away)2-2Primera Division
Jan 28, 2016UES(home)1-0Primera Division
Jan 24, 2016Sonsonate(away)2-1Primera Division
Jan 17, 2016Dragon(home)1-0Primera Division

What does the head-to-head say?

Across the last 6 meetings: 1 Pasaquina win, 2 draws, 3 Águila wins.

DateScoreCompetition
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
Feb 4, 2015Pasaquina 2-1 ÁguilaPrimera Division

Last archived meeting: Águila vs Pasaquina on Dec 6, 2015

How many goals should we expect?

Pasaquina score 1.3 and concede 1.3 goals per match over their last 15; Águila score 1.2 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Pasaquina1.31.347/157/15
Águila1.20.968/156/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
4Águila20875372831

A question about Pasaquina vs Águila?

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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