FC Ryukyu vs Honda: result 1-2 and analysis
J3 LeagueRegular Season - 19Kick-off on July 8, 2012 at 06:00 AM (UTC)Tapic Kenso Hiyagon Stadium, Okinawa
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What was the result of FC Ryukyu vs Honda?
Honda won 1-2 on July 8, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, FC Ryukyu have 8 wins, 2 draws and 5 defeats; Honda have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 1, 2012 | Kanazawa(away) | 3-2 | J3 League |
| Jun 23, 2012 | Tokyo Musashino City(away) | 2-2 | J3 League |
| Jun 10, 2012 | Sony Sendai(away) | 1-1 | J3 League |
| Jun 3, 2012 | YSSC(home) | 3-4 | J3 League |
| May 26, 2012 | Fujieda MYFC(away) | 0-3 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 1, 2012 | Tochigi Uva(home) | 3-0 | J3 League |
| Jun 23, 2012 | YSSC(away) | 2-0 | J3 League |
| Jun 17, 2012 | Fujieda MYFC(away) | 2-0 | J3 League |
| Jun 10, 2012 | Sagawa Shiga(away) | 0-4 | J3 League |
| Jun 2, 2012 | Parceiro Nagano(home) | 4-0 | J3 League |
What does the head-to-head say?
In the last meeting: 0 FC Ryukyu wins, 0 draws, 1 Honda win.
| Date | Score | Competition |
|---|---|---|
| May 3, 2012 | Honda 4-1 FC Ryukyu | J3 League |
How many goals should we expect?
FC Ryukyu score 2.1 and concede 2.0 goals per match over their last 15; Honda score 1.6 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FC Ryukyu | 2.1 | 2.0 | 2 | 11/15 | 12/15 |
| Honda | 1.6 | 1.1 | 6 | 3/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | FC Ryukyu | 11 | 4 | 2 | 5 | 12 | 14 | 14 |
A question about FC Ryukyu vs Honda?
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