Blaublitz Akita vs Machida Zelvia: result 2-2 and analysis
J3 LeagueMatchday 31Kick-off on November 3, 2013 at 04:00 AM (UTC)Soyu Stadium, Akita
Full time
What was the result of Blaublitz Akita vs Machida Zelvia?
Blaublitz Akita and Machida Zelvia drew 2-2 on November 3, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Blaublitz Akita have 7 wins, 4 draws and 4 defeats; Machida Zelvia have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2013 | Tokyo Musashino City(home) | 1-1 | J3 League |
| Oct 20, 2013 | FC Ryukyu(away) | 1-1 | J3 League |
| Oct 6, 2013 | YSSC(home) | 4-0 | J3 League |
| Sep 28, 2013 | Honda(away) | 1-3 | J3 League |
| Sep 22, 2013 | Kamatamare Sanuki(home) | 2-1 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2013 | Kamatamare Sanuki(home) | 2-1 | J3 League |
| Oct 20, 2013 | Parceiro Nagano(away) | 1-5 | J3 League |
| Oct 6, 2013 | Tochigi Uva(home) | 3-1 | J3 League |
| Sep 29, 2013 | Honda Lock(away) | 0-2 | J3 League |
| Sep 22, 2013 | Hoyo Oita(away) | 2-1 | J3 League |
What does the head-to-head say?
In the last meeting: 0 Blaublitz Akita wins, 0 draws, 1 Machida Zelvia win.
| Date | Score | Competition |
|---|---|---|
| Apr 20, 2013 | Machida Zelvia 2-0 Blaublitz Akita | J3 League |
Last archived meeting: Machida Zelvia vs Blaublitz Akita on Apr 20, 2013
How many goals should we expect?
Blaublitz Akita score 1.5 and concede 1.0 goals per match over their last 15; Machida Zelvia score 1.5 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Blaublitz Akita | 1.5 | 1.0 | 6 | 8/15 | 7/15 |
| Machida Zelvia | 1.5 | 1.7 | 1 | 10/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Blaublitz Akita vs Machida Zelvia?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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