Match

AH Zapla vs San Lorenzo Alem: result 1-2 and analysis

Copa Argentina1st Qualifying RoundKick-off on January 17, 2019 at 12:30 AM (UTC)Estadio Coronel Emilio Fabrizzi, Palpalá, Provincia de Jujuy

AH Zapla
1-2
San Lorenzo Alem

Full time

What was the result of AH Zapla vs San Lorenzo Alem?

San Lorenzo Alem won 1-2 on January 17, 2019.

Goalscorers

  • 28′58874San Lorenzo Alem
  • 51′58642AH Zapla
  • 63′L. WagnerSan Lorenzo Alem

What is the recent form of both teams?

Over their last 15 matches in all competitions, AH Zapla have 3 wins, 3 draws and 9 defeats; San Lorenzo Alem have 4, 6 and 5.

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

AH Zapla
DateOpponentScoreCompetition
Dec 9, 2018San Jorge Tucumán(away)0-4Torneo Federal A
Dec 2, 2018Crucero Del Norte(home)0-2Torneo Federal A
Nov 29, 2018Chaco For Ever(away)0-3Torneo Federal A
Nov 24, 2018Boca Unidos(home)1-2Torneo Federal A
Nov 18, 2018Gimnasia Y Tiro(away)0-1Torneo Federal A
San Lorenzo Alem
DateOpponentScoreCompetition
Dec 9, 2018Racing Cordoba(home)2-0Torneo Federal A
Dec 2, 2018Juventud Unida Univ.(away)2-2Torneo Federal A
Nov 29, 2018Deportivo Maipu(home)3-2Torneo Federal A
Nov 18, 2018Estudiantes de Rio Cuarto(away)2-2Torneo Federal A
Nov 11, 2018Estudiantes S.l.(home)1-0Torneo Federal A

What does the head-to-head say?

Across the last 3 meetings: 1 AH Zapla win(s), 0 draw(s), 2 San Lorenzo Alem win(s).

DateScoreCompetition
Aug 23, 2015AH Zapla 0-2 San Lorenzo AlemTorneo Federal A
Jun 21, 2015San Lorenzo Alem 1-2 AH ZaplaTorneo Federal A
Apr 19, 2015AH Zapla 1-2 San Lorenzo AlemTorneo Federal A

Last archived meeting: AH Zapla vs San Lorenzo Alem on Aug 23, 2015

How many goals should we expect?

AH Zapla score 0.7 and concede 1.7 goals per match over their last 15; San Lorenzo Alem score 1.1 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
AH Zapla0.71.736/157/15
San Lorenzo Alem1.11.339/155/15

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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