Blaublitz Akita vs Kitakyushu: result 1-0 and analysis
J3 LeagueRegular Season - 28Kick-off on October 22, 2017 at 04:00 AM (UTC)Soyu Stadium, Akita
Full time
What was the result of Blaublitz Akita vs Kitakyushu?
Blaublitz Akita won 1-0 on October 22, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Blaublitz Akita have 5 wins, 5 draws and 5 defeats; Kitakyushu have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 14, 2017 | Sagamihara(away) | 1-1 | J3 League |
| Oct 7, 2017 | Tokyo U23(home) | 1-2 | J3 League |
| Sep 30, 2017 | Kagoshima United(away) | 1-1 | J3 League |
| Sep 24, 2017 | FC Ryukyu(home) | 1-2 | J3 League |
| Sep 17, 2017 | YSCC(away) | 1-2 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2017 | Kagoshima United(home) | 0-4 | J3 League |
| Oct 11, 2017 | Cerezo Osaka U23(away) | 2-2 | J3 League |
| Oct 8, 2017 | YSCC(away) | 1-2 | J3 League |
| Oct 1, 2017 | Sagamihara(home) | 3-0 | J3 League |
| Sep 23, 2017 | Kataller Toyama(home) | 0-2 | J3 League |
What does the head-to-head say?
Across the last 1 meetings: 0 Blaublitz Akita win(s), 1 draw(s), 0 Kitakyushu win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 12, 2017 | Kitakyushu 1-1 Blaublitz Akita | J3 League |
Last archived meeting: Kitakyushu vs Blaublitz Akita on Mar 12, 2017
How many goals should we expect?
Blaublitz Akita score 1.3 and concede 1.3 goals per match over their last 15; Kitakyushu score 1.4 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Blaublitz Akita | 1.3 | 1.3 | 3 | 11/15 | 6/15 |
| Kitakyushu | 1.4 | 1.5 | 4 | 7/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Kitakyushu | 2 | 0 | 2 | 0 | 2 | 2 | 2 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy