Kagoshima United vs Gamba Osaka U23: result 3-1 and analysis
J3 LeagueMatchday 11Kick-off on May 29, 2016 at 04:00 AM (UTC)Shiranami Stadium, Kagoshima
Full time
What was the result of Kagoshima United vs Gamba Osaka U23?
Kagoshima United won 3-1 on May 29, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kagoshima United have 9 wins, 3 draws and 3 defeats; Gamba Osaka U23 have 3, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 22, 2016 | Tokyo U23(away) | 0-0 | J3 League |
| May 15, 2016 | Cerezo Osaka U23(home) | 3-1 | J3 League |
| May 8, 2016 | Grulla Morioka(away) | 3-2 | J3 League |
| May 1, 2016 | Fukushima United(home) | 1-0 | J3 League |
| Apr 24, 2016 | Tochigi SC(away) | 0-1 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 22, 2016 | Sagamihara(home) | 0-1 | J3 League |
| May 15, 2016 | FC Ryukyu(away) | 0-1 | J3 League |
| May 8, 2016 | Fujieda MYFC(home) | 2-0 | J3 League |
| May 1, 2016 | Blaublitz Akita(away) | 0-1 | J3 League |
| Apr 23, 2016 | Oita Trinita(home) | 2-2 | J3 League |
How many goals should we expect?
Kagoshima United score 1.3 and concede 0.6 goals per match over their last 15; Gamba Osaka U23 score 1.2 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kagoshima United | 1.3 | 0.6 | 9 | 4/15 | 5/15 |
| Gamba Osaka U23 | 1.2 | 1.0 | 2 | 5/10 | 4/10 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Kagoshima United | 16 | 9 | 4 | 3 | 29 | 19 | 31 |
A question about Kagoshima United vs Gamba Osaka U23?
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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