Match

Mexico vs Italy: result 1-2 and analysis

Confederations CupGroup Stage - 1Kick-off on June 16, 2013 at 07:00 PM (UTC)Estadio Banorte, Mexico City

Mexico
1-2
Italy

Full time

What was the result of Mexico vs Italy?

Italy won 1-2 on June 16, 2013.

Goalscorers

  • 27′Andrea PirloItaly
  • 34′J. HernándezMexico (pen.)
  • 78′M. BalotelliItaly

Official lineup for Mexico vs Italy

The starting elevens fielded at kick-off.

Mexico

  1. 10Giovani dos Santos Ramírez
  2. 14J. Hernández
  1. 6Gerardo Torrado Díez de Bonilla
  2. 11J. Aquino
  3. 17J. Zavala
  4. 18A. Guardado
  1. 2Francisco Javier Rodríguez Pinedo
  2. 3C. Salcido
  3. 15H. Moreno
  4. 22G. Flores
  1. 12J. Corona

Italy

  1. 9M. Balotelli
  1. 8C. Marchisio
  2. 16D. De Rossi
  3. 18Riccardo Montolivo
  4. 21Andrea Pirlo
  5. 22Emanuele Giaccherini
  1. 3G. Chiellini
  2. 5M. De Sciglio
  3. 15Andrea Barzagli
  4. 20I. Abate
  1. 1G. Buffon
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What is the recent form of both teams?

Over their last 4 matches in all competitions, Mexico have 1 win, 1 draw and 2 defeats; Italy have 4, 7 and 4.

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

Mexico
DateOpponentScoreCompetition
Jun 27, 2010Argentina(away)1-3World Cup
Jun 22, 2010Uruguay(home)0-1World Cup
Jun 17, 2010France(away)2-0World Cup
Jun 11, 2010South Africa(away)1-1World Cup
Italy
DateOpponentScoreCompetition
Jul 1, 2012Spain(away)0-4Euro Championship
Jun 28, 2012Germany(away)2-1Euro Championship
Jun 24, 2012England(away)0-0Euro Championship
Jun 18, 2012Rep. Of Ireland(home)2-0Euro Championship
Jun 14, 2012Croatia(home)1-1Euro Championship

How many goals should we expect?

Mexico score 1.0 and concede 1.3 goals per match over their last 4; Italy score 1.1 and concede 1.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Mexico1.01.312/41/4
Italy1.11.248/155/15

Over the last 4 matches in all competitions.

A question about Mexico vs Italy?

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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