Parceiro Nagano vs FC Ryukyu: result 1-0 and analysis
J3 LeagueMatchday 11Kick-off on May 12, 2012 at 06:00 AM (UTC)Minami Nagano Sports Park Stadium, Nagano
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What was the result of Parceiro Nagano vs FC Ryukyu?
Parceiro Nagano won 1-0 on May 12, 2012.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Parceiro Nagano have 5 wins, 1 draw and 2 defeats; FC Ryukyu have 6, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 3, 2012 | Kamatamare Sanuki(home) | 0-1 | J3 League |
| Apr 28, 2012 | Sagawa Printing(away) | 0-1 | J3 League |
| Apr 22, 2012 | Biwako Shiga(home) | 3-1 | J3 League |
| Apr 15, 2012 | Blaublitz Akita(away) | 2-1 | J3 League |
| Apr 8, 2012 | Tokyo Musashino City(home) | 5-0 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2012 | V-varen Nagasaki(home) | 1-0 | J3 League |
| May 3, 2012 | Honda(away) | 1-4 | J3 League |
| Apr 28, 2012 | Kanazawa(home) | 3-2 | J3 League |
| Apr 22, 2012 | Honda Lock(away) | 3-2 | J3 League |
| Apr 14, 2012 | Hoyo Oita(home) | 3-2 | J3 League |
How many goals should we expect?
Parceiro Nagano score 2.1 and concede 0.8 goals per match over their last 8; FC Ryukyu score 2.2 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Parceiro Nagano | 2.1 | 0.8 | 2 | 4/8 | 5/8 |
| FC Ryukyu | 2.2 | 1.9 | 2 | 7/10 | 8/10 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
Parceiro Nagano sit 10th in J3 League (23 points from 16 matches) and FC Ryukyu sit 11th (23 points from 16 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Parceiro Nagano | 16 | 7 | 2 | 7 | 22 | 21 | 23 |
| 11 | FC Ryukyu | 16 | 7 | 2 | 7 | 24 | 24 | 23 |
A question about Parceiro Nagano 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