Match

Audaz vs Santa Tecla: result 2-1 and analysis

Primera DivisionApertura - 5Kick-off on August 20, 2017 at 09:00 PM (UTC)

Audaz
2-1
Santa Tecla

Full time

What was the result of Audaz vs Santa Tecla?

Audaz won 2-1 on August 20, 2017.

Goalscorers

  • 37′109002Audaz
  • 50′G. BairesSanta Tecla
  • 72′Santos Antonio Guzmán VillaltaAudaz

Official lineup for Audaz vs Santa Tecla

The starting elevens fielded at kick-off.

Audaz

  1. DDaley Yesid Mena Palomeque
  2. JJ. Sánchez
  1. EE. Renderos
  2. CC. Anzora
  3. EEver Alexander Flores
  4. JJaime Flores
  5. JJ. Aguilar
  1. FF. Jovel
  2. AAramis Arístides Acevedo Orantes
  3. SSantos Antonio Guzmán Villalta
  1. JJ. Coreas

Santa Tecla

  1. LL. Frutos
  1. GG. Baires
  2. DDiego Jose Chavarría Ramos
  3. AAldair Adilson Rivera Sánchez
  4. CCristian Alexander Renderos Peraza
  1. GG. Zavaleta
  2. KKévin Enrique Ayala Méndoza
  3. JJ. Barahona
  4. RR. Domínguez
  5. RRicardo Ferreira da Silva
  1. JJ. Almeida
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What is the recent form of both teams?

Over their last 3 matches in all competitions, Audaz have 1 win, 1 draw and 1 defeat; Santa Tecla have 6, 6 and 3.

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

Audaz
DateOpponentScoreCompetition
Aug 13, 2017FAS(home)1-0Primera Division
Aug 5, 2017Pasaquina(away)1-2Primera Division
Jul 30, 2017Firpo(home)0-0Primera Division
Santa Tecla
DateOpponentScoreCompetition
Aug 13, 2017Alianza(away)1-1Primera Division
Aug 5, 2017Dragon(away)2-0Primera Division
Jul 29, 2017FAS(home)2-2Primera Division
May 21, 2017Alianza(away)4-0Primera Division
May 14, 2017Águila(away)3-2Primera Division

How many goals should we expect?

Audaz score 0.7 and concede 0.7 goals per match over their last 3; Santa Tecla score 1.7 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Audaz0.70.721/31/3
Santa Tecla1.71.177/157/15

Over the last 3 matches in all competitions.

A question about Audaz vs Santa Tecla?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

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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