Tochigi Uva vs Maruyasu Okazaki: result 0-2 and analysis
J3 League2nd Phase - 2Kick-off on July 27, 2014 at 05:00 AM (UTC)Tochigi City Sports Park Stadium, Tochigi
Full time
What was the result of Tochigi Uva vs Maruyasu Okazaki?
Maruyasu Okazaki won 0-2 on July 27, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tochigi Uva have 3 wins, 4 draws and 8 defeats; Maruyasu Okazaki have 2, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 19, 2014 | Honda(away) | 1-0 | J3 League |
| Jul 5, 2014 | Kwansei Gakuin(home) | 1-2 | Emperor Cup |
| Jun 7, 2014 | Fagiano Okayama II(away) | 1-1 | J3 League |
| Jun 1, 2014 | Kagoshima United(home) | 0-1 | J3 League |
| May 25, 2014 | Vanraure Hachinohe(away) | 1-2 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 19, 2014 | Honda Lock(home) | 2-1 | J3 League |
| Jun 7, 2014 | Sony Sendai(home) | 1-2 | J3 League |
| Jun 1, 2014 | Tokyo Musashino City(away) | 1-1 | J3 League |
| May 25, 2014 | Verspah Oita(home) | 0-1 | J3 League |
| May 17, 2014 | Biwako Shiga(away) | 2-2 | J3 League |
What does the head-to-head say?
In the last meeting: 0 Tochigi Uva wins, 1 draw, 0 Maruyasu Okazaki wins.
| Date | Score | Competition |
|---|---|---|
| May 10, 2014 | Maruyasu Okazaki 2-2 Tochigi Uva | J3 League |
Last archived meeting: Maruyasu Okazaki vs Tochigi Uva on May 10, 2014
How many goals should we expect?
Tochigi Uva score 0.7 and concede 1.4 goals per match over their last 15; Maruyasu Okazaki score 0.9 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tochigi Uva | 0.7 | 1.4 | 4 | 5/15 | 5/15 |
| Maruyasu Okazaki | 0.9 | 1.9 | 1 | 9/14 | 8/14 |
Over the last 15 matches in all competitions.
A question about Tochigi Uva vs Maruyasu Okazaki?
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