Renofa Yamaguchi vs Honda Lock: result 1-1 and analysis
J3 League1st Phase - 13Kick-off on June 7, 2014 at 04:00 AM (UTC)Ishin Me-Life Stadium, Yamaguchi
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What was the result of Renofa Yamaguchi vs Honda Lock?
Renofa Yamaguchi and Honda Lock drew 1-1 on June 7, 2014.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Renofa Yamaguchi have 7 wins, 0 draws and 6 defeats; Honda Lock have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 1, 2014 | Sagawa Printing(away) | 1-2 | J3 League |
| May 25, 2014 | Fagiano Okayama II(home) | 4-0 | J3 League |
| May 17, 2014 | Sony Sendai(away) | 0-1 | J3 League |
| May 10, 2014 | Kagoshima United(home) | 1-2 | J3 League |
| May 4, 2014 | Tokyo Musashino City(away) | 2-1 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 1, 2014 | Fagiano Okayama II(home) | 1-1 | J3 League |
| May 24, 2014 | Kagoshima United(away) | 0-4 | J3 League |
| May 18, 2014 | Vanraure Hachinohe(home) | 0-1 | J3 League |
| May 11, 2014 | Azul Claro Numazu(away) | 0-3 | J3 League |
| May 4, 2014 | Maruyasu Okazaki(home) | 1-1 | J3 League |
How many goals should we expect?
Renofa Yamaguchi score 1.8 and concede 1.1 goals per match over their last 13; Honda Lock score 0.8 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Renofa Yamaguchi | 1.8 | 1.1 | 5 | 6/13 | 8/13 |
| Honda Lock | 0.8 | 1.7 | 3 | 7/15 | 7/15 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Renofa Yamaguchi | 10 | 6 | 2 | 2 | 14 | 7 | 20 |
A question about Renofa Yamaguchi vs Honda Lock?
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