Nagoya Grampus vs Renofa Yamaguchi: result 0-2 and analysis
J2 LeagueMatchday 9Kick-off on April 22, 2017 at 05:00 AM (UTC)Toyota Stadium, Toyota
Full time
What was the result of Nagoya Grampus vs Renofa Yamaguchi?
Renofa Yamaguchi won 0-2 on April 22, 2017.
Goalscorers
- 34′K. OnoseRenofa Yamaguchi
- 36′K. KozukaRenofa Yamaguchi
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nagoya Grampus have 8 wins, 3 draws and 4 defeats; Renofa Yamaguchi have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 15, 2017 | Tokushima Vortis(away) | 2-2 | J2 League |
| Apr 8, 2017 | Kamatamare Sanuki(home) | 2-1 | J2 League |
| Apr 1, 2017 | Roasso Kumamoto(home) | 5-1 | J2 League |
| Mar 26, 2017 | Matsumoto Yamaga(away) | 2-1 | J2 League |
| Mar 18, 2017 | Mito Hollyhock(home) | 2-1 | J2 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 15, 2017 | JEF United Chiba(home) | 0-1 | J2 League |
| Apr 8, 2017 | Tokushima Vortis(home) | 1-1 | J2 League |
| Apr 1, 2017 | Mito Hollyhock(away) | 1-1 | J2 League |
| Mar 26, 2017 | Kamatamare Sanuki(home) | 1-0 | J2 League |
| Mar 19, 2017 | Tokyo Verdy(home) | 0-2 | J2 League |
How many goals should we expect?
Nagoya Grampus score 1.8 and concede 1.3 goals per match over their last 15; Renofa Yamaguchi score 1.0 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nagoya Grampus | 1.8 | 1.3 | 3 | 10/15 | 10/15 |
| Renofa Yamaguchi | 1.0 | 1.5 | 2 | 8/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Renofa Yamaguchi | 18 | 7 | 5 | 6 | 24 | 22 | 29 |
A question about Nagoya Grampus vs Renofa Yamaguchi?
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
Other matches in the same round
- Apr 22, 2017Mito Hollyhock1-1Avispa Fukuoka
- Apr 22, 2017Ehime FC1-0V-varen Nagasaki
- Apr 22, 2017Kyoto Sanga1-1Matsumoto Yamaga
- Apr 22, 2017Machida Zelvia0-1Tokushima Vortis
- Apr 22, 2017Tokyo Verdy3-1Thespakusatsu Gunma
- Apr 22, 2017Shonan Bellmare0-1Oita Trinita
- Apr 22, 2017Yokohama FC4-0JEF United Chiba
- Apr 23, 2017Fagiano Okayama2-1Montedio Yamagata