Tochigi Uva vs Honda: result 0-2 and analysis
J3 League1st Phase - 8Kick-off on May 4, 2014 at 04:00 AM (UTC)Tochigi City Sports Park Stadium, Tochigi
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What was the result of Tochigi Uva vs Honda?
Honda won 0-2 on May 4, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tochigi Uva have 5 wins, 1 draw and 9 defeats; Honda have 11, 3 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 27, 2014 | Sagawa Printing(away) | 0-1 | J3 League |
| Apr 20, 2014 | Sony Sendai(home) | 0-5 | J3 League |
| Apr 13, 2014 | Tokyo Musashino City(away) | 1-0 | J3 League |
| Apr 6, 2014 | Verspah Oita(home) | 0-0 | J3 League |
| Mar 29, 2014 | Biwako Shiga(away) | 0-1 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 27, 2014 | Honda Lock(home) | 2-1 | J3 League |
| Apr 20, 2014 | Fagiano Okayama II(away) | 5-0 | J3 League |
| Apr 13, 2014 | Kagoshima United(home) | 2-1 | J3 League |
| Apr 6, 2014 | Vanraure Hachinohe(away) | 2-0 | J3 League |
| Mar 30, 2014 | Azul Claro Numazu(home) | 0-0 | J3 League |
What does the head-to-head say?
Across the last 4 meetings: 0 Tochigi Uva wins, 1 draw, 3 Honda wins.
| Date | Score | Competition |
|---|---|---|
| Oct 20, 2013 | Honda 5-0 Tochigi Uva | J3 League |
| Jun 23, 2013 | Tochigi Uva 0-3 Honda | J3 League |
| Jul 1, 2012 | Honda 3-0 Tochigi Uva | J3 League |
| Apr 29, 2012 | Tochigi Uva 3-3 Honda | J3 League |
How many goals should we expect?
Tochigi Uva score 0.8 and concede 1.6 goals per match over their last 15; Honda score 2.5 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tochigi Uva | 0.8 | 1.6 | 5 | 3/15 | 5/15 |
| Honda | 2.5 | 0.8 | 6 | 8/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Tochigi Uva vs Honda?
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