Iran vs Japan: result 0-3 and analysis
Asian CupSemi-finalsKick-off on January 28, 2019 at 02:00 PM (UTC)Azadi Stadium, Tehran
Full time
What was the result of Iran vs Japan?
Japan won 0-3 on January 28, 2019.
Goalscorers
- 56′Y. OsakoJapan
- 67′Y. OsakoJapan (pen.)
- 90′G. HaraguchiJapan
Official lineup for Iran vs Japan
The starting elevens fielded at kick-off.
Iran
4-2-3-1- 18A. Jahanbakhsh
- 20S. Azmoun
- 11V. Amiri
- 9O. Ebrahimi
- 21A. Dejagah
- 5M. Mohammadi
- 13H. Kanani
- 23R. Rezaeian
- 8M. Pouraliganji
- 3E. Hajisafi
- 1A. Beiranvand
Japan
4-4-2- 9T. Minamino
- 15Y. Osako
- 21R. Dōan
- 6W. Endo
- 7G. Shibasaki
- 8G. Haraguchi
- 16T. Tomiyasu
- 19H. Sakai
- 5Y. Nagatomo
- 22M. Yoshida
- 12S. Gonda
What is the recent form of both teams?
Over their last 15 matches in all competitions, Iran have 10 wins, 3 draws and 2 defeats; Japan have 11, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 24, 2019 | China(away) | 3-0 | Asian Cup |
| Jan 20, 2019 | Oman(home) | 2-0 | Asian Cup |
| Jan 16, 2019 | Iraq(home) | 0-0 | Asian Cup |
| Jan 12, 2019 | Vietnam(away) | 2-0 | Asian Cup |
| Jan 7, 2019 | Yemen(home) | 5-0 | Asian Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 24, 2019 | Vietnam(away) | 1-0 | Asian Cup |
| Jan 21, 2019 | Saudi Arabia(home) | 1-0 | Asian Cup |
| Jan 17, 2019 | Uzbekistan(home) | 2-1 | Asian Cup |
| Jan 13, 2019 | Oman(away) | 1-0 | Asian Cup |
| Jan 9, 2019 | Turkmenistan(home) | 3-2 | Asian Cup |
How many goals should we expect?
Iran score 1.5 and concede 0.4 goals per match over their last 15; Japan score 2.2 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Iran | 1.5 | 0.4 | 10 | 4/15 | 4/15 |
| Japan | 2.2 | 1.1 | 6 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Iran 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