Syria vs Japan: result 1-2 and analysis
Asian CupGroup stage - 2Kick-off on January 13, 2011 at 04:15 PM (UTC)Shabab Al Ahli Stadium, Dubayy (Dubai)
Full time
What was the result of Syria vs Japan?
Japan won 1-2 on January 13, 2011.
Goalscorers
- 35′M. HasebeJapan
- 76′Firas Mohamad Al KhatibSyria (pen.)
- 82′Keisuke HondaJapan (pen.)
Official lineup for Syria vs Japan
The starting elevens fielded at kick-off.
Syria
- 7Abdelrazaq Al Hussain
- 5Feras Esmaeel
- 6Jehad Fadel Al Hussain
- 12Mohamed Al Zeno
- 14Wael Ayan
- 23Samer Awad
- 2Belal Abduldaim
- 13Nadim Sabagh
- 3Ali Dyab
- 17Abdulkader Dakka
- 1Mosab Balhous
Japan
- 11Ryoichi Maeda
- 7Y. Endō
- 8D. Matsui
- 10S. Kagawa
- 18Keisuke Honda
- 4Y. Konno
- 5Y. Nagatomo
- 6Atsuto Uchida
- 17M. Hasebe
- 22M. Yoshida
- 1E. Kawashima
What is the recent form of both teams?
In their last match in all competitions, Syria have 1 win, 0 draws and 0 defeats; Japan have 2, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 9, 2011 | Saudi Arabia(away) | 2-1 | Asian Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Jun 19, 2010 | Netherlands(away) | 0-1 | World Cup |
| Jun 14, 2010 | Cameroon(home) | 1-0 | World Cup |
How many goals should we expect?
Syria score 2.0 and concede 1.0 goals per match in their last match; Japan score 1.0 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Syria | 2.0 | 1.0 | 0 | 1/1 | 1/1 |
| Japan | 1.0 | 0.6 | 2 | 2/5 | 1/5 |
Over the last match in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Syria | 6 | 6 | 0 | 0 | 21 | 2 | 18 |
A question about Syria vs Japan?
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