FC Ryukyu vs Kitakyushu: result 0-0 and analysis
J3 LeagueRegular Season - 17Kick-off on July 15, 2017 at 10:00 AM (UTC)Tapic Kenso Hiyagon Stadium, Okinawa
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What was the result of FC Ryukyu vs Kitakyushu?
FC Ryukyu and Kitakyushu drew 0-0 on July 15, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, FC Ryukyu have 6 wins, 6 draws and 3 defeats; Kitakyushu have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 8, 2017 | Kagoshima United(away) | 1-0 | J3 League |
| Jul 1, 2017 | YSCC(away) | 2-2 | J3 League |
| Jun 25, 2017 | Gainare Tottori(home) | 2-1 | J3 League |
| Jun 10, 2017 | Parceiro Nagano(home) | 1-1 | J3 League |
| Jun 3, 2017 | Cerezo Osaka U23(away) | 2-1 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 8, 2017 | Grulla Morioka(home) | 5-1 | J3 League |
| Jul 1, 2017 | Kataller Toyama(away) | 1-2 | J3 League |
| Jun 25, 2017 | Parceiro Nagano(home) | 1-2 | J3 League |
| Jun 21, 2017 | Shimizu S-pulse(away) | 1-4 | Emperor Cup |
| Jun 18, 2017 | Fukushima United(away) | 3-0 | J3 League |
How many goals should we expect?
FC Ryukyu score 2.0 and concede 1.8 goals per match over their last 15; Kitakyushu score 2.0 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FC Ryukyu | 2.0 | 1.8 | 4 | 10/15 | 10/15 |
| Kitakyushu | 2.0 | 1.2 | 5 | 7/15 | 9/15 |
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 Kitakyushu sit 16th (10 points from 10 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | FC Ryukyu | 10 | 3 | 2 | 5 | 11 | 14 | 11 |
| 16 | Kitakyushu | 10 | 2 | 4 | 4 | 12 | 18 | 10 |
A question about FC Ryukyu vs Kitakyushu?
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