Blaublitz Akita vs YSSC: result 0-1 and analysis
J3 LeagueRegular Season - 19Kick-off on July 8, 2012 at 04:00 AM (UTC)Soyu Stadium, Akita
Full time
What was the result of Blaublitz Akita vs YSSC?
YSSC won 0-1 on July 8, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Blaublitz Akita have 5 wins, 5 draws and 5 defeats; YSSC 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 |
|---|---|---|---|
| Jul 1, 2012 | Fujieda MYFC(away) | 0-2 | J3 League |
| Jun 24, 2012 | Tochigi Uva(home) | 1-1 | J3 League |
| Jun 17, 2012 | Kamatamare Sanuki(away) | 0-3 | J3 League |
| Jun 9, 2012 | Sagawa Printing(home) | 3-3 | J3 League |
| Jun 3, 2012 | Biwako Shiga(away) | 1-0 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 1, 2012 | Tokyo Musashino City(home) | 1-2 | J3 League |
| Jun 23, 2012 | Honda(home) | 0-2 | J3 League |
| Jun 16, 2012 | Kanazawa(home) | 1-2 | J3 League |
| Jun 10, 2012 | Honda Lock(home) | 4-1 | J3 League |
| Jun 3, 2012 | FC Ryukyu(away) | 4-3 | J3 League |
What does the head-to-head say?
In the last meeting: 0 Blaublitz Akita wins, 0 draws, 1 YSSC win.
| Date | Score | Competition |
|---|---|---|
| May 3, 2012 | YSSC 4-1 Blaublitz Akita | J3 League |
Last archived meeting: YSSC vs Blaublitz Akita on May 3, 2012
How many goals should we expect?
Blaublitz Akita score 1.2 and concede 1.3 goals per match over their last 15; YSSC score 2.1 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Blaublitz Akita | 1.2 | 1.3 | 5 | 7/15 | 7/15 |
| YSSC | 2.1 | 1.4 | 2 | 11/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Blaublitz Akita vs YSSC?
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