FC Ryukyu vs Kataller Toyama: result 2-2 and analysis
J3 LeagueRegular Season - 6Kick-off on April 24, 2016 at 07:00 AM (UTC)Tapic Kenso Hiyagon Stadium, Okinawa
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What was the result of FC Ryukyu vs Kataller Toyama?
FC Ryukyu and Kataller Toyama drew 2-2 on April 24, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, FC Ryukyu have 7 wins, 2 draws and 6 defeats; Kataller Toyama have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 17, 2016 | Grulla Morioka(away) | 3-2 | J3 League |
| Apr 10, 2016 | Oita Trinita(home) | 1-0 | J3 League |
| Apr 2, 2016 | Cerezo Osaka U23(away) | 1-2 | J3 League |
| Mar 20, 2016 | Tokyo U23(away) | 3-2 | J3 League |
| Mar 13, 2016 | Fujieda MYFC(home) | 1-0 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 10, 2016 | Tokyo U23(away) | 3-0 | J3 League |
| Apr 3, 2016 | Gamba Osaka U23(home) | 2-1 | J3 League |
| Mar 20, 2016 | Fukushima United(home) | 1-1 | J3 League |
| Mar 13, 2016 | Kagoshima United(away) | 0-0 | J3 League |
| Nov 23, 2014 | Fagiano Okayama(home) | 0-3 | J2 League |
How many goals should we expect?
FC Ryukyu score 1.6 and concede 1.7 goals per match over their last 15; Kataller Toyama score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FC Ryukyu | 1.6 | 1.7 | 5 | 8/15 | 10/15 |
| Kataller Toyama | 1.1 | 1.3 | 4 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | FC Ryukyu | 10 | 3 | 2 | 5 | 11 | 14 | 11 |
A question about FC Ryukyu vs Kataller Toyama?
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