Grulla Morioka vs Sagamihara: result 0-2 and analysis
J3 LeagueMatchday 31Kick-off on November 12, 2017 at 04:00 AM (UTC)Iwagin Stadium, Morioka
Full time
What was the result of Grulla Morioka vs Sagamihara?
Sagamihara won 0-2 on November 12, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Grulla Morioka have 4 wins, 3 draws and 8 defeats; Sagamihara have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2017 | Kagoshima United(away) | 0-1 | J3 League |
| Oct 22, 2017 | Kataller Toyama(away) | 2-0 | J3 League |
| Oct 15, 2017 | FC Ryukyu(home) | 0-0 | J3 League |
| Oct 8, 2017 | Parceiro Nagano(away) | 1-1 | J3 League |
| Oct 1, 2017 | Tokyo U23(away) | 6-1 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2017 | Azul Claro Numazu(away) | 0-0 | J3 League |
| Oct 29, 2017 | Kataller Toyama(home) | 3-2 | J3 League |
| Oct 22, 2017 | Fujieda MYFC(away) | 1-1 | J3 League |
| Oct 14, 2017 | Blaublitz Akita(home) | 1-1 | J3 League |
| Oct 8, 2017 | FC Ryukyu(home) | 4-2 | J3 League |
What does the head-to-head say?
Across the last 3 meetings: 1 Grulla Morioka win, 2 draws, 0 Sagamihara wins.
| Date | Score | Competition |
|---|---|---|
| May 14, 2017 | Sagamihara 1-1 Grulla Morioka | J3 League |
| Oct 16, 2016 | Grulla Morioka 5-0 Sagamihara | J3 League |
| Apr 10, 2016 | Sagamihara 0-0 Grulla Morioka | J3 League |
Last archived meeting: Sagamihara vs Grulla Morioka on May 14, 2017
How many goals should we expect?
Grulla Morioka score 1.2 and concede 1.5 goals per match over their last 15; Sagamihara score 1.3 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Grulla Morioka | 1.2 | 1.5 | 4 | 7/15 | 7/15 |
| Sagamihara | 1.3 | 1.6 | 1 | 11/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Sagamihara | 16 | 9 | 4 | 3 | 26 | 15 | 31 |
A question about Grulla Morioka vs Sagamihara?
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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