Verspah Oita vs Honda Lock: result 0-2 and analysis
J3 League1st Phase - 3Kick-off on March 22, 2015 at 04:00 AM (UTC)Oita Sports Park Field A, Oita
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What was the result of Verspah Oita vs Honda Lock?
Honda Lock won 0-2 on March 22, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Verspah Oita have 3 wins, 5 draws and 7 defeats; Honda Lock have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 15, 2015 | Fagiano Okayama II(away) | 3-1 | J3 League |
| Mar 8, 2015 | Biwako Shiga(home) | 3-3 | J3 League |
| Nov 9, 2014 | Fagiano Okayama II(home) | 1-0 | J3 League |
| Nov 2, 2014 | Kagoshima United(away) | 0-2 | J3 League |
| Oct 26, 2014 | Renofa Yamaguchi(away) | 0-1 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 15, 2015 | Azul Claro Numazu(home) | 2-1 | J3 League |
| Mar 8, 2015 | Vanraure Hachinohe(home) | 2-2 | J3 League |
| Nov 9, 2014 | Biwako Shiga(away) | 2-1 | J3 League |
| Nov 2, 2014 | Tochigi Uva(home) | 2-1 | J3 League |
| Oct 26, 2014 | Sagawa Printing(away) | 1-2 | J3 League |
What does the head-to-head say?
Across the last 2 meetings: 0 Verspah Oita wins, 2 draws, 0 Honda Lock wins.
| Date | Score | Competition |
|---|---|---|
| Sep 21, 2014 | Honda Lock 3-3 Verspah Oita | J3 League |
| Mar 29, 2014 | Verspah Oita 1-1 Honda Lock | J3 League |
Last archived meeting: Honda Lock vs Verspah Oita on Sep 21, 2014
How many goals should we expect?
Verspah Oita score 1.3 and concede 1.5 goals per match over their last 15; Honda Lock score 1.6 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Verspah Oita | 1.3 | 1.5 | 3 | 9/15 | 8/15 |
| Honda Lock | 1.6 | 2.1 | 2 | 12/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about Verspah Oita vs Honda Lock?
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