Match

Japan vs Chile: result 0-4 and analysis

Copa AmericaGroup Stage - 1Kick-off on June 17, 2019 at 11:00 PM (UTC)Saitama Stadium 2002, Saitama

Japan
0-4
Chile

Full time

What was the result of Japan vs Chile?

Chile won 0-4 on June 17, 2019.

Goalscorers

  • 41′E. PulgarChile
  • 54′E. VargasChile
  • 82′A. SánchezChile
  • 83′E. VargasChile

Official lineup for Japan vs Chile

The starting elevens fielded at kick-off.

Japan

4-4-2
  1. 13Ayase Ueda
  2. 21T. Kubo
  1. 10S. Nakajima
  2. 3Y. Nakayama
  3. 7G. Shibasaki
  4. 9D. Maeda
  1. 2D. Sugioka
  2. 16T. Tomiyasu
  3. 5N. Ueda
  4. 14T. Hara
  1. 23K. Osako

Chile

4-3-3
  1. 7A. Sánchez
  2. 11E. Vargas
  3. 6J. Fuenzalida
  1. 8A. Vidal
  2. 13E. Pulgar
  3. 20C. Aránguiz
  1. 15Jean André Emanuel Beausejour Coliqueo
  2. 3G. Maripán
  3. 17G. Medel
  4. 4M. Isla
  1. 1G. Arias
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Japan have 11 wins, 2 draws and 2 defeats; Chile have 6, 4 and 5.

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

Japan
DateOpponentScoreCompetition
Jun 9, 2019El Salvador(home)2-0Friendlies
Jun 5, 2019Trinidad and Tobago(home)0-0Friendlies
Mar 26, 2019Bolivia(home)1-0Friendlies
Mar 22, 2019Colombia(home)0-1Friendlies
Feb 1, 2019Qatar(home)1-3Asian Cup
Chile
DateOpponentScoreCompetition
Jun 6, 2019Haiti(home)2-1Friendlies
Mar 26, 2019USA(away)1-1Friendlies
Mar 23, 2019Mexico(away)1-3Friendlies
Nov 21, 2018Honduras(home)4-1Friendlies
Nov 17, 2018Costa Rica(home)2-3Friendlies

How many goals should we expect?

Japan score 1.8 and concede 0.7 goals per match over their last 15; Chile score 1.3 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Japan1.80.795/157/15
Chile1.31.549/1510/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2024 standings
#ClubPWDLGFGAPts
3Chile3021012

A question about Japan vs Chile?

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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