Match

Honda vs Azul Claro Numazu: result 1-0 and analysis

Japan Football League1st Phase - 15Kick-off on June 5, 2016 at 04:00 AM (UTC)Honda Miyakoda Soccer Stadium, Hamamatsu

Honda
1-0
Azul Claro Numazu

Full time

What was the result of Honda vs Azul Claro Numazu?

Honda won 1-0 on June 5, 2016.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Honda have 7 wins, 4 draws and 4 defeats; Azul Claro Numazu have 10, 2 and 3.

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

Honda
DateOpponentScoreCompetition
May 29, 2016Sony Sendai(away)2-1Japan Football League
May 22, 2016Vanraure Hachinohe(home)1-1Japan Football League
May 15, 2016Osaka(away)1-2Japan Football League
May 8, 2016Honda Lock(home)2-0Japan Football League
May 3, 2016Verspah Oita(away)1-1Japan Football League
Azul Claro Numazu
DateOpponentScoreCompetition
May 29, 2016Reinmeer Aomori(home)1-0Japan Football League
May 21, 2016Sony Sendai(home)2-2Japan Football League
May 15, 2016Vanraure Hachinohe(away)1-0Japan Football League
May 8, 2016Osaka(home)1-0Japan Football League
May 3, 2016Honda Lock(away)1-0Japan Football League

What does the head-to-head say?

Across the last 4 meetings: 3 Honda wins, 1 draw, 0 Azul Claro Numazu wins.

DateScoreCompetition
Jul 4, 2015Honda 3-0 Azul Claro NumazuJ3 League
May 3, 2015Azul Claro Numazu 0-5 HondaJ3 League
Sep 21, 2014Azul Claro Numazu 0-4 HondaJ3 League
Mar 30, 2014Honda 0-0 Azul Claro NumazuJ3 League

Last archived meeting: Honda vs Azul Claro Numazu on Jul 4, 2015

How many goals should we expect?

Honda score 1.5 and concede 1.1 goals per match over their last 15; Azul Claro Numazu score 1.5 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Honda1.51.169/157/15
Azul Claro Numazu1.50.776/156/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025 standings
#ClubPWDLGFGAPts
1Honda301794512860

A question about Honda vs Azul Claro Numazu?

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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