Match

Honda Lock vs Matsue City: result 1-0 and analysis

Japan Football LeagueMatchday 21Kick-off on September 14, 2019 at 06:00 AM (UTC)Hinata Miyazaki Prefectural Sports Park Hinata Athletic Stadium, Miyazaki

Honda Lock
1-0
Matsue City

Full time

What was the result of Honda Lock vs Matsue City?

Honda Lock won 1-0 on September 14, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Honda Lock have 5 wins, 5 draws and 5 defeats; Matsue City have 2, 7 and 6.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Honda Lock
DateOpponentScoreCompetition
Sep 7, 2019Maruyasu Okazaki(away)0-0Japan Football League
Aug 31, 2019Suzuka Unlimited(home)2-0Japan Football League
Aug 25, 2019Tegevajaro Miyazaki(away)0-1Japan Football League
Jul 27, 2019Ryutsu Keizai Dragons(away)1-1Japan Football League
Jul 21, 2019Reinmeer Aomori(away)1-0Japan Football League
Matsue City
DateOpponentScoreCompetition
Sep 8, 2019Tokyo Musashino City(home)1-1Japan Football League
Sep 1, 2019Veertien Mie(away)2-3Japan Football League
Aug 25, 2019Imabari(home)1-1Japan Football League
Jul 27, 2019Sony Sendai(away)2-2Japan Football League
Jul 21, 2019Honda(home)0-2Japan Football League

What does the head-to-head say?

In the last meeting: 1 Honda Lock win, 0 draws, 0 Matsue City wins.

DateScoreCompetition
Jun 16, 2019Matsue City 1-6 Honda LockJapan Football League

Last archived meeting: Matsue City vs Honda Lock on Jun 16, 2019

How many goals should we expect?

Honda Lock score 1.7 and concede 1.3 goals per match over their last 15; Matsue City score 1.1 and concede 1.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Honda Lock1.71.349/157/15
Matsue City1.11.9211/158/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025 standings
#ClubPWDLGFGAPts
10Honda Lock309714404134

A question about Honda Lock vs Matsue City?

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

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