Kagoshima United vs Kitakyushu: result 2-1 and analysis
J3 LeagueRegular Season - 5Kick-off on April 16, 2017 at 05:00 AM (UTC)Shiranami Stadium, Kagoshima
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What was the result of Kagoshima United vs Kitakyushu?
Kagoshima United won 2-1 on April 16, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kagoshima United have 7 wins, 1 draw and 7 defeats; Kitakyushu have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2017 | Tokyo U23(away) | 2-1 | J3 League |
| Mar 25, 2017 | Gamba Osaka U23(home) | 1-0 | J3 League |
| Mar 18, 2017 | Kataller Toyama(away) | 0-1 | J3 League |
| Mar 11, 2017 | Fujieda MYFC(home) | 5-0 | J3 League |
| Nov 20, 2016 | Parceiro Nagano(away) | 0-1 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 1, 2017 | Sagamihara(away) | 0-1 | J3 League |
| Mar 26, 2017 | Cerezo Osaka U23(home) | 1-0 | J3 League |
| Mar 12, 2017 | Blaublitz Akita(home) | 1-1 | J3 League |
| Nov 20, 2016 | Montedio Yamagata(away) | 0-3 | J2 League |
| Nov 12, 2016 | Mito Hollyhock(home) | 2-2 | J2 League |
How many goals should we expect?
Kagoshima United score 1.5 and concede 1.5 goals per match over their last 15; Kitakyushu score 0.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kagoshima United | 1.5 | 1.5 | 6 | 5/15 | 7/15 |
| Kitakyushu | 0.7 | 1.1 | 5 | 5/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Kagoshima United sit 2nd in J3 League (23 points from 10 matches) and Kitakyushu sit 16th (10 points from 10 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Kagoshima United | 10 | 7 | 2 | 1 | 19 | 11 | 23 |
| 16 | Kitakyushu | 10 | 2 | 4 | 4 | 12 | 18 | 10 |
A question about Kagoshima United vs Kitakyushu?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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