Sagamihara vs Grulla Morioka: result 0-0 and analysis
J3 LeagueMatchday 4Kick-off on April 10, 2016 at 04:00 AM (UTC)Sagamihara Gion Stadium, Sagamihara
Full time
What was the result of Sagamihara vs Grulla Morioka?
Sagamihara and Grulla Morioka drew 0-0 on April 10, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sagamihara have 10 wins, 2 draws and 3 defeats; Grulla Morioka have 0, 0 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 3, 2016 | Fukushima United(away) | 1-0 | J3 League |
| Mar 20, 2016 | YSCC(home) | 0-1 | J3 League |
| Mar 13, 2016 | Tokyo U23(home) | 1-0 | J3 League |
| Nov 24, 2013 | Machida Zelvia(away) | 2-1 | J3 League |
| Nov 17, 2013 | Parceiro Nagano(home) | 2-1 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 3, 2016 | Parceiro Nagano(home) | 0-1 | J3 League |
| Mar 20, 2016 | Gamba Osaka U23(away) | 1-4 | J3 League |
| Mar 13, 2016 | Cerezo Osaka U23(away) | 0-2 | J3 League |
| Aug 30, 2015 | Machida Zelvia(home) | 0-3 | Emperor Cup |
| Jul 6, 2014 | Urayasu(home) | 0-1 | Emperor Cup |
How many goals should we expect?
Sagamihara score 1.7 and concede 1.2 goals per match over their last 15; Grulla Morioka score 0.2 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sagamihara | 1.7 | 1.2 | 4 | 8/15 | 8/15 |
| Grulla Morioka | 0.2 | 2.2 | 0 | 1/5 | 2/5 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Sagamihara | 16 | 9 | 4 | 3 | 26 | 15 | 31 |
A question about Sagamihara vs Grulla Morioka?
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