Match

Osaka vs Honda Lock: result 2-2 and analysis

Japan Football League1st Phase - 7Kick-off on April 17, 2016 at 04:00 AM (UTC)Hanazono Rugby Stadium, Higashiosaka

Osaka
2-2
Honda Lock

Full time

What was the result of Osaka vs Honda Lock?

Osaka and Honda Lock drew 2-2 on April 17, 2016.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Osaka have 7 wins, 4 draws and 4 defeats; Honda Lock have 6, 5 and 4.

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

Osaka
DateOpponentScoreCompetition
Apr 10, 2016Verspah Oita(away)1-1Japan Football League
Apr 3, 2016Biwako Shiga(home)2-0Japan Football League
Mar 27, 2016Nara Club(away)2-0Japan Football League
Mar 20, 2016Tokyo Musashino City(home)4-0Japan Football League
Mar 13, 2016Maruyasu Okazaki(away)2-0Japan Football League
Honda Lock
DateOpponentScoreCompetition
Apr 10, 2016Reinmeer Aomori(home)2-0Japan Football League
Apr 2, 2016Verspah Oita(home)1-1Japan Football League
Mar 26, 2016Biwako Shiga(away)0-1Japan Football League
Mar 20, 2016Nara Club(home)2-0Japan Football League
Mar 13, 2016Tokyo Musashino City(away)1-1Japan Football League

What does the head-to-head say?

Across the last 2 meetings: 1 Osaka win, 0 draws, 1 Honda Lock win.

DateScoreCompetition
Jun 28, 2015Honda Lock 2-1 OsakaJ3 League
Apr 29, 2015Osaka 3-1 Honda LockJ3 League

Last archived meeting: Honda Lock vs Osaka on Jun 28, 2015

How many goals should we expect?

Osaka score 1.7 and concede 1.2 goals per match over their last 15; Honda Lock score 1.1 and concede 0.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Osaka1.71.257/157/15
Honda Lock1.10.593/153/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025 standings
#ClubPWDLGFGAPts
10Honda Lock309714404134

A question about Osaka 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

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