Osaka vs Kagoshima United: result 0-1 and analysis
J3 League1st Phase - 15Kick-off on June 7, 2015 at 04:00 AM (UTC)Yanmar Stadium Nagai, Osaka
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What was the result of Osaka vs Kagoshima United?
Kagoshima United won 0-1 on June 7, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Osaka have 9 wins, 2 draws and 4 defeats; Kagoshima United have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 31, 2015 | Sony Sendai(away) | 1-1 | J3 League |
| May 23, 2015 | Tokyo Musashino City(home) | 2-0 | J3 League |
| May 17, 2015 | Verspah Oita(away) | 1-2 | J3 League |
| May 10, 2015 | Azul Claro Numazu(home) | 2-0 | J3 League |
| May 3, 2015 | Vanraure Hachinohe(away) | 0-2 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 31, 2015 | Honda(home) | 0-3 | J3 League |
| May 23, 2015 | Sagawa Printing(away) | 0-0 | J3 League |
| May 17, 2015 | Ryutsu Keizai Dragons(home) | 2-1 | J3 League |
| May 10, 2015 | Sony Sendai(home) | 0-1 | J3 League |
| May 4, 2015 | Tokyo Musashino City(away) | 1-0 | J3 League |
How many goals should we expect?
Osaka score 1.7 and concede 1.0 goals per match over their last 15; Kagoshima United score 1.4 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Osaka | 1.7 | 1.0 | 6 | 6/15 | 7/15 |
| Kagoshima United | 1.4 | 0.7 | 8 | 4/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Osaka sit 6th in J3 League (17 points from 10 matches) and Kagoshima United sit 2nd (23 points from 10 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Kagoshima United | 10 | 7 | 2 | 1 | 19 | 11 | 23 |
| 6 | Osaka | 10 | 4 | 5 | 1 | 18 | 9 | 17 |
A question about Osaka vs Kagoshima United?
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