Match

Pasaquina vs Santa Tecla: result 0-1 and analysis

Primera DivisionApertura - 5Kick-off on August 19, 2018 at 09:00 PM (UTC)Estadio San Sebastian, Pasaquina

Pasaquina
0-1
Santa Tecla

Full time

What was the result of Pasaquina vs Santa Tecla?

Santa Tecla won 0-1 on August 19, 2018.

Goalscorers

  • 17′K. SantamaríaSanta Tecla (pen.)

What is the recent form of both teams?

Over their last 15 matches in all competitions, Pasaquina have 3 wins, 5 draws and 7 defeats; Santa Tecla have 9, 5 and 1.

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

Pasaquina
DateOpponentScoreCompetition
Aug 15, 2018Municipal Limeño(away)1-1Primera Division
Aug 12, 2018FAS(home)1-1Primera Division
Aug 5, 2018Sonsonate(away)2-1Primera Division
Jul 29, 2018Chalatenango(home)1-1Primera Division
Apr 28, 2018Águila(home)0-3Primera Division
Santa Tecla
DateOpponentScoreCompetition
Aug 16, 2018Águila(home)2-1Primera Division
Aug 12, 2018Alianza(away)1-1Primera Division
Aug 5, 2018Isidro Metapán(home)1-1Primera Division
Jul 28, 2018Audaz(home)3-0Primera Division
May 20, 2018Alianza(away)0-1Primera Division

What does the head-to-head say?

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

DateScoreCompetition
Mar 28, 2018Pasaquina 1-1 Santa TeclaPrimera Division
Feb 4, 2018Santa Tecla 2-0 PasaquinaPrimera Division
Nov 25, 2017Santa Tecla 3-1 PasaquinaPrimera Division
Sep 23, 2017Pasaquina 3-3 Santa TeclaPrimera Division
Apr 1, 2017Pasaquina 4-1 Santa TeclaPrimera Division
Feb 4, 2017Santa Tecla 1-0 PasaquinaPrimera Division

Last archived meeting: Pasaquina vs Santa Tecla on Mar 28, 2018

How many goals should we expect?

Pasaquina score 0.8 and concede 1.5 goals per match over their last 15; Santa Tecla score 1.7 and concede 0.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Pasaquina0.81.518/156/15
Santa Tecla1.70.677/157/15

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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