Matsue City vs Honda Lock: result 1-6 and analysis
Japan Football LeagueMatchday 11Kick-off on June 16, 2019 at 04:00 AM (UTC)Matsue Athletic Stadium, Matsue
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What was the result of Matsue City vs Honda Lock?
Honda Lock won 1-6 on June 16, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Matsue City have 2 wins, 5 draws and 8 defeats; Honda Lock have 5, 7 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 9, 2019 | Tokyo Musashino City(away) | 1-1 | Japan Football League |
| Jun 2, 2019 | Veertien Mie(home) | 1-3 | Japan Football League |
| May 25, 2019 | Kamatamare Sanuki(home) | 0-0 | Emperor Cup |
| May 19, 2019 | Imabari(away) | 0-0 | Japan Football League |
| May 5, 2019 | Verspah Oita(away) | 1-2 | Japan Football League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 9, 2019 | Maruyasu Okazaki(home) | 2-2 | Japan Football League |
| Jun 2, 2019 | Suzuka Unlimited(away) | 0-0 | Japan Football League |
| May 25, 2019 | FC Tokushima(home) | 5-1 | Emperor Cup |
| May 19, 2019 | Tegevajaro Miyazaki(home) | 1-1 | Japan Football League |
| May 6, 2019 | Biwako Shiga(away) | 3-0 | Japan Football League |
How many goals should we expect?
Matsue City score 0.9 and concede 1.4 goals per match over their last 15; Honda Lock score 1.6 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Matsue City | 0.9 | 1.4 | 5 | 6/15 | 8/15 |
| Honda Lock | 1.6 | 1.4 | 4 | 11/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Honda Lock | 30 | 9 | 7 | 14 | 40 | 41 | 34 |
A question about Matsue City 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