Japan vs Qatar: result 3-2 and analysis
Asian CupQuarter-finalsKick-off on January 21, 2011 at 01:25 PM (UTC)Saitama Stadium 2002, Saitama
Full time
What was the result of Japan vs Qatar?
Japan won 3-2 on January 21, 2011.
Goalscorers
- 12′Sebastián SoriaQatar
- 28′S. KagawaJapan
- 63′Fábio César MontezineQatar
- 70′S. KagawaJapan
- 90′Masahiko InohaJapan
Official lineup for Japan vs Qatar
The starting elevens fielded at kick-off.
Japan
- 9S. Okazaki
- 11Ryoichi Maeda
- 7Y. Endō
- 10S. Kagawa
- 18Keisuke Honda
- 2Masahiko Inoha
- 4Y. Konno
- 5Y. Nagatomo
- 17M. Hasebe
- 22M. Yoshida
- 1E. Kawashima
Qatar
- 12Yousef Ahmad
- 23Sebastián Soria
- 4Anas Mubarak
- 7Wesam Rizik
- 8Mesaad Ali Al Hamad
- 16Mohammad Jeddo
- 2Hamid Ismaeil
- 6Bilal Mohammed
- 13Ibrahim Majid
- 18Ibrahim Al Ghanim
- 1Qasem Burhan
What is the recent form of both teams?
Over their last 7 matches in all competitions, Japan have 4 wins, 2 draws and 1 defeat; Qatar have 2, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 17, 2011 | Saudi Arabia(away) | 5-0 | Asian Cup |
| Jan 13, 2011 | Syria(away) | 2-1 | Asian Cup |
| Jan 9, 2011 | Jordan(home) | 1-1 | Asian Cup |
| Jun 29, 2010 | Paraguay(away) | 0-0 | World Cup |
| Jun 24, 2010 | Denmark(away) | 3-1 | World Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 16, 2011 | Kuwait(home) | 3-0 | Asian Cup |
| Jan 12, 2011 | China(away) | 2-0 | Asian Cup |
| Jan 7, 2011 | Uzbekistan(home) | 0-2 | Asian Cup |
How many goals should we expect?
Japan score 1.7 and concede 0.6 goals per match over their last 7; Qatar score 1.7 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Japan | 1.7 | 0.6 | 3 | 3/7 | 3/7 |
| Qatar | 1.7 | 0.7 | 2 | 0/3 | 1/3 |
Over the last 7 matches in all competitions.
A question about Japan vs Qatar?
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