Kitakyushu vs Grulla Morioka: result 5-1 and analysis
J3 LeagueRegular Season - 16Kick-off on July 8, 2017 at 09:00 AM (UTC)Mikuni World Stadium, Kitakyushu
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What was the result of Kitakyushu vs Grulla Morioka?
Kitakyushu won 5-1 on July 8, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kitakyushu have 7 wins, 1 draw and 7 defeats; Grulla Morioka 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 |
|---|---|---|---|
| Jul 1, 2017 | Kataller Toyama(away) | 1-2 | J3 League |
| Jun 25, 2017 | Parceiro Nagano(home) | 1-2 | J3 League |
| Jun 21, 2017 | Shimizu S-pulse(away) | 1-4 | Emperor Cup |
| Jun 18, 2017 | Fukushima United(away) | 3-0 | J3 League |
| Jun 10, 2017 | Gamba Osaka U23(home) | 2-1 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 2, 2017 | Kagoshima United(home) | 0-0 | J3 League |
| Jun 25, 2017 | Fukushima United(home) | 5-1 | J3 League |
| Jun 21, 2017 | Urawa(away) | 2-3 | Emperor Cup |
| Jun 18, 2017 | Gamba Osaka U23(away) | 0-1 | J3 League |
| Jun 11, 2017 | Tochigi SC(home) | 1-2 | J3 League |
How many goals should we expect?
Kitakyushu score 1.7 and concede 1.1 goals per match over their last 15; Grulla Morioka score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kitakyushu | 1.7 | 1.1 | 6 | 6/15 | 8/15 |
| Grulla Morioka | 1.1 | 1.1 | 5 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 14 | Kitakyushu | 11 | 3 | 4 | 4 | 15 | 19 | 13 |
A question about Kitakyushu vs Grulla Morioka?
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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