Tokyo U23 vs Blaublitz Akita: result 1-0 and analysis
J3 LeagueRegular Season - 22Kick-off on September 19, 2016 at 04:00 AM (UTC)Ajinomoto Stadium, Chōfu
Full time
What was the result of Tokyo U23 vs Blaublitz Akita?
Tokyo U23 won 1-0 on September 19, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tokyo U23 have 3 wins, 6 draws and 6 defeats; Blaublitz Akita have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2016 | Grulla Morioka(away) | 1-1 | J3 League |
| Aug 7, 2016 | Tochigi SC(away) | 1-1 | J3 League |
| Jul 31, 2016 | Gainare Tottori(home) | 0-1 | J3 League |
| Jul 24, 2016 | Oita Trinita(home) | 1-2 | J3 League |
| Jul 16, 2016 | FC Ryukyu(away) | 5-1 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2016 | YSCC(home) | 3-0 | J3 League |
| Sep 3, 2016 | Kawasaki Frontale(away) | 1-3 | Emperor Cup |
| Aug 27, 2016 | Vanraure Hachinohe(home) | 2-0 | Emperor Cup |
| Aug 7, 2016 | Kataller Toyama(away) | 1-0 | J3 League |
| Jul 31, 2016 | Fujieda MYFC(home) | 1-0 | J3 League |
What does the head-to-head say?
In the last meeting: 0 Tokyo U23 wins, 0 draws, 1 Blaublitz Akita win.
| Date | Score | Competition |
|---|---|---|
| Apr 3, 2016 | Blaublitz Akita 1-0 Tokyo U23 | J3 League |
Last archived meeting: Blaublitz Akita vs Tokyo U23 on Apr 3, 2016
How many goals should we expect?
Tokyo U23 score 1.0 and concede 1.1 goals per match over their last 15; Blaublitz Akita score 1.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tokyo U23 | 1.0 | 1.1 | 3 | 9/15 | 5/15 |
| Blaublitz Akita | 1.1 | 0.9 | 6 | 6/15 | 5/15 |
Over the last 15 matches in all competitions.
A question about Tokyo U23 vs Blaublitz Akita?
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