Brazil vs Japan: result 3-0 and analysis
Confederations CupGroup Stage - 1Kick-off on June 15, 2013 at 07:00 PM (UTC)Maracanã, Rio de Janeiro
Full time
What was the result of Brazil vs Japan?
Brazil won 3-0 on June 15, 2013.
Goalscorers
- 3′NeymarBrazil
- 48′PaulinhoBrazil
- 90′JôBrazil
Official lineup for Brazil vs Japan
The starting elevens fielded at kick-off.
Brazil
- 9Frederico Chaves Guedes
- 10Neymar
- 19Hulk
- 11Oscar
- 17Luiz Gustavo
- 18Paulinho
- 2Dani Alves
- 3Thiago Silva
- 4David Luiz
- 6Marcelo
- 12Júlio César
Japan
- 9S. Okazaki
- 4Keisuke Honda
- 7Y. Endō
- 8H. Kiyotake
- 10S. Kagawa
- 5Y. Nagatomo
- 6Atsuto Uchida
- 15Y. Konno
- 17M. Hasebe
- 22M. Yoshida
- 1E. Kawashima
What is the recent form of both teams?
Over their last 10 matches in all competitions, Brazil have 8 wins, 1 draw and 1 defeat; Japan have 6, 3 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 2, 2010 | Netherlands(away) | 1-2 | World Cup |
| Jun 28, 2010 | Chile(home) | 3-0 | World Cup |
| Jun 25, 2010 | Portugal(away) | 0-0 | World Cup |
| Jun 20, 2010 | Ivory Coast(home) | 3-1 | World Cup |
| Jun 15, 2010 | North Korea(home) | 2-1 | World Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 29, 2011 | Australia(away) | 1-0 | Asian Cup |
| Jan 25, 2011 | South Korea(home) | 3-3 | Asian Cup |
| Jan 21, 2011 | Qatar(home) | 3-2 | Asian Cup |
| Jan 17, 2011 | Saudi Arabia(away) | 5-0 | Asian Cup |
| Jan 13, 2011 | Syria(away) | 2-1 | Asian Cup |
How many goals should we expect?
Brazil score 2.3 and concede 0.9 goals per match over their last 10; Japan score 1.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Brazil | 2.3 | 0.9 | 5 | 5/10 | 8/10 |
| Japan | 1.9 | 0.9 | 4 | 5/10 | 5/10 |
Over the last 10 matches in all competitions.
A question about Brazil vs Japan?
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