Vanraure Hachinohe vs Sony Sendai: result 0-3 and analysis
J3 League1st Phase - 2Kick-off on April 17, 2014 at 04:00 AM (UTC)Prifoods Stadium, Hachinohe
Full time
What was the result of Vanraure Hachinohe vs Sony Sendai?
Sony Sendai won 0-3 on April 17, 2014.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Vanraure Hachinohe have 1 win, 1 draw and 4 defeats; Sony Sendai have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2014 | Maruyasu Okazaki(away) | 1-1 | J3 League |
| Apr 6, 2014 | Honda(home) | 0-2 | J3 League |
| Mar 29, 2014 | Sagawa Printing(away) | 0-2 | J3 League |
| Mar 16, 2014 | Tokyo Musashino City(away) | 0-1 | J3 League |
| Sep 11, 2013 | Yokohama F. Marinos(away) | 1-5 | Emperor Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2014 | Honda Lock(home) | 0-1 | J3 League |
| Apr 5, 2014 | Fagiano Okayama II(away) | 2-0 | J3 League |
| Mar 29, 2014 | Kagoshima United(home) | 0-0 | J3 League |
| Mar 16, 2014 | Azul Claro Numazu(home) | 2-0 | J3 League |
| Nov 24, 2013 | Biwako Shiga(away) | 0-0 | J3 League |
How many goals should we expect?
Vanraure Hachinohe score 0.5 and concede 1.8 goals per match over their last 6; Sony Sendai score 0.8 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vanraure Hachinohe | 0.5 | 1.8 | 1 | 2/6 | 1/6 |
| Sony Sendai | 0.8 | 1.0 | 8 | 3/15 | 4/15 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Vanraure Hachinohe | 38 | 21 | 9 | 8 | 46 | 23 | 72 |
A question about Vanraure Hachinohe vs Sony Sendai?
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