Honda Lock vs Blaublitz Akita: result 1-1 and analysis
J3 LeagueMatchday 34Kick-off on November 18, 2012 at 04:00 AM (UTC)Hinata Miyazaki Prefectural Sports Park Hinata Athletic Stadium, Miyazaki
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What was the result of Honda Lock vs Blaublitz Akita?
Honda Lock and Blaublitz Akita drew 1-1 on November 18, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Honda Lock have 5 wins, 5 draws and 5 defeats; Blaublitz Akita have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2012 | Tokyo Musashino City(away) | 1-0 | J3 League |
| Nov 4, 2012 | Tochigi Uva(home) | 2-4 | J3 League |
| Oct 27, 2012 | FC Ryukyu(away) | 0-1 | J3 League |
| Oct 20, 2012 | Sony Sendai(away) | 1-1 | J3 League |
| Oct 17, 2012 | Sagawa Printing(away) | 1-0 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 11, 2012 | FC Ryukyu(home) | 1-0 | J3 League |
| Nov 4, 2012 | Parceiro Nagano(away) | 0-1 | J3 League |
| Oct 27, 2012 | Sagawa Shiga(home) | 1-2 | J3 League |
| Oct 21, 2012 | Kamatamare Sanuki(home) | 1-2 | J3 League |
| Oct 14, 2012 | Tochigi Uva(away) | 1-3 | J3 League |
What does the head-to-head say?
In the last meeting: 0 Honda Lock wins, 0 draws, 1 Blaublitz Akita win.
| Date | Score | Competition |
|---|---|---|
| Mar 18, 2012 | Blaublitz Akita 1-0 Honda Lock | J3 League |
Last archived meeting: Blaublitz Akita vs Honda Lock on Mar 18, 2012
How many goals should we expect?
Honda Lock score 0.9 and concede 1.5 goals per match over their last 15; Blaublitz Akita score 0.8 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Honda Lock | 0.9 | 1.5 | 4 | 7/15 | 4/15 |
| Blaublitz Akita | 0.8 | 1.5 | 2 | 9/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Honda Lock 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