Tokyo U23 vs Azul Claro Numazu: result 1-6 and analysis
J3 LeagueRegular Season - 14Kick-off on June 25, 2017 at 05:00 AM (UTC)Ajinomoto Field Nishigaoka, Tokyo
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What was the result of Tokyo U23 vs Azul Claro Numazu?
Azul Claro Numazu won 1-6 on June 25, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tokyo U23 have 6 wins, 2 draws and 7 defeats; Azul Claro Numazu have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 18, 2017 | YSCC(away) | 1-0 | J3 League |
| Jun 3, 2017 | Gamba Osaka U23(home) | 1-0 | J3 League |
| May 28, 2017 | Kitakyushu(away) | 0-1 | J3 League |
| May 21, 2017 | Grulla Morioka(away) | 0-0 | J3 League |
| May 13, 2017 | Tochigi SC(home) | 0-1 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Jun 4, 2017 | Kitakyushu(home) | 1-0 | J3 League |
| May 28, 2017 | YSCC(away) | 4-1 | J3 League |
How many goals should we expect?
Tokyo U23 score 0.7 and concede 0.9 goals per match over their last 15; Azul Claro Numazu score 2.2 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tokyo U23 | 0.7 | 0.9 | 8 | 3/15 | 4/15 |
| Azul Claro Numazu | 2.2 | 0.9 | 6 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 20 | Azul Claro Numazu | 38 | 6 | 10 | 22 | 40 | 57 | 28 |
A question about Tokyo U23 vs Azul Claro Numazu?
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