Grulla Morioka vs Sagamihara: result 5-0 and analysis
J3 LeagueMatchday 25Kick-off on October 16, 2016 at 04:00 AM (UTC)Iwagin Stadium, Morioka
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What was the result of Grulla Morioka vs Sagamihara?
Grulla Morioka won 5-0 on October 16, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Grulla Morioka have 5 wins, 5 draws and 5 defeats; Sagamihara have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2016 | Blaublitz Akita(away) | 0-2 | J3 League |
| Sep 25, 2016 | Fujieda MYFC(home) | 1-2 | J3 League |
| Sep 22, 2016 | Honda(home) | 1-2 | Emperor Cup |
| Sep 19, 2016 | FC Ryukyu(away) | 2-4 | J3 League |
| Sep 11, 2016 | Tokyo U23(home) | 1-1 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2016 | Parceiro Nagano(home) | 1-2 | J3 League |
| Sep 25, 2016 | FC Ryukyu(home) | 1-3 | J3 League |
| Sep 18, 2016 | Tochigi SC(away) | 1-1 | J3 League |
| Sep 11, 2016 | Oita Trinita(home) | 0-3 | J3 League |
| Aug 13, 2016 | Kagoshima United(away) | 1-1 | J3 League |
What does the head-to-head say?
In the last meeting: 0 Grulla Morioka wins, 1 draw, 0 Sagamihara wins.
| Date | Score | Competition |
|---|---|---|
| Apr 10, 2016 | Sagamihara 0-0 Grulla Morioka | J3 League |
Last archived meeting: Sagamihara vs Grulla Morioka on Apr 10, 2016
How many goals should we expect?
Grulla Morioka score 1.6 and concede 1.3 goals per match over their last 15; Sagamihara score 0.8 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Grulla Morioka | 1.6 | 1.3 | 5 | 8/15 | 7/15 |
| Sagamihara | 0.8 | 1.5 | 3 | 8/15 | 7/15 |
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 | 17 | 9 | 4 | 4 | 26 | 16 | 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