FC Ryukyu vs Kagoshima United: result 3-1 and analysis
J3 LeagueRegular Season - 15Kick-off on July 3, 2016 at 08:00 AM (UTC)Tapic Kenso Hiyagon Stadium, Okinawa
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What was the result of FC Ryukyu vs Kagoshima United?
FC Ryukyu won 3-1 on July 3, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, FC Ryukyu have 5 wins, 4 draws and 6 defeats; Kagoshima United have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 26, 2016 | Tochigi SC(away) | 0-1 | J3 League |
| Jun 19, 2016 | YSCC(home) | 0-1 | J3 League |
| Jun 12, 2016 | Parceiro Nagano(away) | 0-2 | J3 League |
| May 29, 2016 | Blaublitz Akita(home) | 1-1 | J3 League |
| May 22, 2016 | Fukushima United(away) | 1-1 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 26, 2016 | Fujieda MYFC(home) | 1-0 | J3 League |
| Jun 18, 2016 | Parceiro Nagano(home) | 0-0 | J3 League |
| Jun 12, 2016 | Blaublitz Akita(away) | 3-1 | J3 League |
| May 29, 2016 | Gamba Osaka U23(home) | 3-1 | J3 League |
| May 22, 2016 | Tokyo U23(away) | 0-0 | J3 League |
How many goals should we expect?
FC Ryukyu score 1.1 and concede 1.3 goals per match over their last 15; Kagoshima United score 1.3 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FC Ryukyu | 1.1 | 1.3 | 3 | 8/15 | 6/15 |
| Kagoshima United | 1.3 | 0.5 | 8 | 5/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
FC Ryukyu sit 14th in J3 League (11 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 |
| 14 | FC Ryukyu | 10 | 3 | 2 | 5 | 11 | 14 | 11 |
A question about FC Ryukyu vs Kagoshima United?
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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