Sony Sendai vs FC Ryukyu: result 1-1 and analysis
J3 LeagueMatchday 15Kick-off on June 10, 2012 at 04:00 AM (UTC)Yurtec Stadium Sendai, Sendai
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What was the result of Sony Sendai vs FC Ryukyu?
Sony Sendai and FC Ryukyu drew 1-1 on June 10, 2012.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Sony Sendai have 5 wins, 6 draws and 2 defeats; FC Ryukyu have 7, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 2, 2012 | Tochigi Uva(away) | 4-2 | J3 League |
| May 26, 2012 | Kamatamare Sanuki(home) | 0-0 | J3 League |
| May 19, 2012 | Sagawa Printing(away) | 2-0 | J3 League |
| May 13, 2012 | Biwako Shiga(home) | 2-0 | J3 League |
| May 6, 2012 | Blaublitz Akita(away) | 2-2 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 3, 2012 | YSSC(home) | 3-4 | J3 League |
| May 26, 2012 | Fujieda MYFC(away) | 0-3 | J3 League |
| May 20, 2012 | Sagawa Shiga(home) | 2-1 | J3 League |
| May 12, 2012 | Parceiro Nagano(away) | 0-1 | J3 League |
| May 6, 2012 | V-varen Nagasaki(home) | 1-0 | J3 League |
How many goals should we expect?
Sony Sendai score 1.1 and concede 0.7 goals per match over their last 13; FC Ryukyu score 1.9 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sony Sendai | 1.1 | 0.7 | 7 | 4/13 | 2/13 |
| FC Ryukyu | 1.9 | 2.0 | 2 | 9/14 | 11/14 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | FC Ryukyu | 16 | 7 | 2 | 7 | 24 | 24 | 23 |
A question about Sony Sendai vs FC Ryukyu?
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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