FC Ryukyu vs Hoyo Oita: result 3-2 and analysis
J3 LeagueMatchday 6Kick-off on April 14, 2012 at 07:00 AM (UTC)Tapic Kenso Hiyagon Stadium, Okinawa
Full time
What was the result of FC Ryukyu vs Hoyo Oita?
FC Ryukyu won 3-2 on April 14, 2012.
What is the recent form of both teams?
Over their last 5 matches in all competitions, FC Ryukyu have 2 wins, 1 draw and 2 defeats; Hoyo Oita have 0, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2012 | Tochigi Uva(home) | 4-2 | J3 League |
| Apr 1, 2012 | Kamatamare Sanuki(away) | 1-4 | J3 League |
| Mar 24, 2012 | Sagawa Printing(home) | 4-0 | J3 League |
| Mar 18, 2012 | Biwako Shiga(away) | 2-2 | J3 League |
| Mar 11, 2012 | Blaublitz Akita(home) | 0-1 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2012 | YSSC(home) | 1-2 | J3 League |
| Apr 1, 2012 | Tochigi Uva(away) | 0-0 | J3 League |
| Mar 25, 2012 | Fujieda MYFC(away) | 0-0 | J3 League |
| Mar 18, 2012 | Kamatamare Sanuki(home) | 0-3 | J3 League |
| Mar 11, 2012 | Sagawa Shiga(away) | 1-2 | J3 League |
How many goals should we expect?
FC Ryukyu score 2.2 and concede 1.8 goals per match over their last 5; Hoyo Oita score 0.4 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FC Ryukyu | 2.2 | 1.8 | 1 | 3/5 | 4/5 |
| Hoyo Oita | 0.4 | 1.4 | 2 | 2/5 | 3/5 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | FC Ryukyu | 16 | 7 | 2 | 7 | 24 | 24 | 23 |
A question about FC Ryukyu vs Hoyo Oita?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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