Match

Osaka vs Honda: result 2-4 and analysis

Japan Football League1st Phase - 10Kick-off on May 19, 2018 at 04:00 AM (UTC)Hanazono Rugby Stadium, Higashiosaka

Osaka
2-4
Honda

Full time

What was the result of Osaka vs Honda?

Honda won 2-4 on May 19, 2018.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Osaka have 10 wins, 2 draws and 3 defeats; Honda have 9, 5 and 1.

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

Osaka
DateOpponentScoreCompetition
May 6, 2018Imabari(away)2-1Japan Football League
May 3, 2018Maruyasu Okazaki(home)3-2Japan Football League
Apr 29, 2018Nara Club(home)2-1Japan Football League
Apr 15, 2018Ryutsu Keizai Dragons(away)1-0Japan Football League
Apr 8, 2018Tokyo Musashino City(home)0-1Japan Football League
Honda
DateOpponentScoreCompetition
May 6, 2018Nara Club(home)0-1Japan Football League
May 3, 2018Ryutsu Keizai Dragons(away)1-1Japan Football League
Apr 29, 2018Tokyo Musashino City(home)6-2Japan Football League
Apr 15, 2018Vanraure Hachinohe(away)2-1Japan Football League
Apr 7, 2018Sony Sendai(home)2-2Japan Football League

What does the head-to-head say?

Across the last 6 meetings: 1 Osaka win, 1 draw, 4 Honda wins.

DateScoreCompetition
Oct 29, 2017Honda 0-0 OsakaJapan Football League
Jun 4, 2017Osaka 1-2 HondaJapan Football League
Oct 30, 2016Honda 4-1 OsakaJapan Football League
May 15, 2016Osaka 2-1 HondaJapan Football League
Nov 15, 2015Honda 2-0 OsakaJ3 League
Mar 15, 2015Osaka 0-1 HondaJ3 League

Last archived meeting: Honda vs Osaka on Oct 29, 2017

How many goals should we expect?

Osaka score 2.0 and concede 0.9 goals per match over their last 15; Honda score 2.3 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Osaka2.00.9410/1511/15
Honda2.30.968/159/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025 standings
#ClubPWDLGFGAPts
1Honda301794512860

A question about Osaka vs Honda?

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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