Azul Claro Numazu vs Parceiro Nagano: result 1-1 and analysis
J3 LeagueRegular Season - 16Kick-off on July 9, 2017 at 06:00 AM (UTC)Shizuoka Ashitaka Athletic Stadium, Numazu
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What was the result of Azul Claro Numazu vs Parceiro Nagano?
Azul Claro Numazu and Parceiro Nagano drew 1-1 on July 9, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Azul Claro Numazu have 10 wins, 3 draws and 2 defeats; Parceiro Nagano have 6, 6 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 2, 2017 | Gainare Tottori(away) | 2-2 | J3 League |
| Jun 25, 2017 | Tokyo U23(away) | 6-1 | J3 League |
| Jun 21, 2017 | Kyoto Sanga(away) | 1-0 | Emperor Cup |
| Jun 18, 2017 | Blaublitz Akita(home) | 0-1 | J3 League |
| Jun 10, 2017 | Cerezo Osaka U23(away) | 4-1 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 2, 2017 | Fujieda MYFC(home) | 0-3 | J3 League |
| Jun 25, 2017 | Kitakyushu(away) | 2-1 | J3 League |
| Jun 21, 2017 | FC Tokyo(away) | 1-1 | Emperor Cup |
| Jun 18, 2017 | Cerezo Osaka U23(home) | 1-1 | J3 League |
| Jun 10, 2017 | FC Ryukyu(away) | 1-1 | J3 League |
How many goals should we expect?
Azul Claro Numazu score 2.5 and concede 0.9 goals per match over their last 15; Parceiro Nagano score 0.9 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Azul Claro Numazu | 2.5 | 0.9 | 6 | 8/15 | 10/15 |
| Parceiro Nagano | 0.9 | 0.7 | 7 | 5/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Parceiro Nagano | 11 | 5 | 2 | 4 | 16 | 15 | 17 |
A question about Azul Claro Numazu vs Parceiro Nagano?
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