Match

San Miguel vs Atlanta: result 1-0 and analysis

Primera B MetropolitanaRegular Season - 5Kick-off on November 9, 2017 at 06:35 PM (UTC)Estadio Malvinas Argentinas, Los Polvorines, Provincia de Buenos Aires

San Miguel
1-0
Atlanta

Full time

What was the result of San Miguel vs Atlanta?

San Miguel won 1-0 on November 9, 2017.

Goalscorers

  • 34′N. AgorrecaSan Miguel

Official lineup for San Miguel vs Atlanta

The starting elevens fielded at kick-off.

San Miguel

  1. LL. Scarnato
  2. MM. Batallini
  1. JJ. Belforte
  2. CCristian Oscar Ortiz
  3. SS. Prim
  4. DD. Núñez
  1. EE. Méndez
  2. NN. Agorreca
  3. CC. Paz
  4. MM. Ramos
  1. AA. Vantomme

Atlanta

  1. FF. Pedrozo
  2. AA. Martínez
  1. FF. Monserrat
  2. BB. Miranda
  3. GG. Vega
  4. JJ. Ochoa
  1. NN. Bianchi Arce
  2. NN. Tecilla
  3. AA. Ochoa
  4. MM. Bettini
  1. RR. Lugo
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What is the recent form of both teams?

Over their last 15 matches in all competitions, San Miguel have 6 wins, 7 draws and 2 defeats; Atlanta have 7, 4 and 4.

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

San Miguel
DateOpponentScoreCompetition
Nov 4, 2017Barracas Central(away)2-2Primera B Metropolitana
Oct 30, 2017Tristan Suarez(home)2-2Primera B Metropolitana
Oct 23, 2017Comunicaciones(away)0-0Primera B Metropolitana
Oct 18, 2017CA Estudiantes(away)0-4Primera B Metropolitana
Oct 13, 2017Platense(home)1-1Primera B Metropolitana
Atlanta
DateOpponentScoreCompetition
Nov 5, 2017Sacachispas(away)3-0Primera B Metropolitana
Oct 28, 2017Defensores De Belgrano(home)2-0Primera B Metropolitana
Oct 24, 2017Platense(home)2-1Primera B Metropolitana
Oct 19, 2017River Plate(away)1-4Copa Argentina
Oct 14, 2017Barracas Central(home)2-2Primera B Metropolitana

How many goals should we expect?

San Miguel score 1.3 and concede 1.1 goals per match over their last 15; Atlanta score 1.4 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
San Miguel1.31.167/156/15
Atlanta1.41.058/157/15

Over the last 15 matches in all competitions.

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

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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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