Myanmar vs Japan: result 0-2 and analysis
World Cup - Qualification AsiaGroup F · Matchday 2Kick-off on September 10, 2019 at 12:20 PM (UTC)Thuwanna YTC Stadium, Yangon
Full time
What was the result of Myanmar vs Japan?
Japan won 0-2 on September 10, 2019.
Goalscorers
- 16′S. NakajimaJapan
- 26′T. MinaminoJapan
Official lineup for Myanmar vs Japan
The starting elevens fielded at kick-off.
Myanmar
- 9Aung Thu
- 11Than Paing
- 13Kaung Si Thu
- 2Zaw Lin
- 6Bo Bo Hlaing
- 3Zaw Min Tun
- 5Kyaw Nanda
- 7Ye Tun Zaw
- 17Soe Moe Kyaw
- 19Than Win Thein
- 18Zin Phyo Kyaw
Japan
- 10S. Nakajima
- 15Y. Osako
- 7G. Shibasaki
- 9T. Minamino
- 21R. Dōan
- 5Y. Nagatomo
- 13K. Hashimoto
- 16T. Tomiyasu
- 19H. Sakai
- 22M. Yoshida
- 12S. Gonda
What is the recent form of both teams?
Over their last 15 matches in all competitions, Myanmar have 4 wins, 3 draws and 8 defeats; Japan have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 5, 2019 | Mongolia(away) | 0-1 | World Cup - Qualification Asia |
| Jun 11, 2019 | Singapore(away) | 2-1 | Friendlies |
| Mar 25, 2019 | Indonesia(home) | 0-2 | Friendlies |
| Mar 19, 2019 | Chinese Taipei(home) | 0-0 | Friendlies |
| Nov 24, 2018 | Malaysia(away) | 0-3 | ASEAN Championship |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 5, 2019 | Paraguay(home) | 2-0 | Friendlies |
| Jun 24, 2019 | Ecuador(away) | 1-1 | Copa America |
| Jun 20, 2019 | Uruguay(away) | 2-2 | Copa America |
| Jun 17, 2019 | Chile(home) | 0-4 | Copa America |
| Jun 9, 2019 | El Salvador(home) | 2-0 | Friendlies |
How many goals should we expect?
Myanmar score 0.9 and concede 1.8 goals per match over their last 15; Japan score 1.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Myanmar | 0.9 | 1.8 | 3 | 6/15 | 9/15 |
| Japan | 1.3 | 0.9 | 8 | 5/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Myanmar 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