Match

Sagawa Printing vs Honda Lock: result 4-0 and analysis

J3 League1st Phase - 7Kick-off on April 18, 2015 at 04:00 AM (UTC)Kyōto Nishikyogoku Stadium, Kyoto

Sagawa Printing
4-0
Honda Lock

Full time

What was the result of Sagawa Printing vs Honda Lock?

Sagawa Printing won 4-0 on April 18, 2015.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Sagawa Printing have 10 wins, 1 draw and 4 defeats; Honda Lock have 7, 3 and 5.

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

Sagawa Printing
DateOpponentScoreCompetition
Apr 12, 2015Fagiano Okayama II(away)5-0J3 League
Apr 5, 2015Biwako Shiga(home)0-1J3 League
Mar 29, 2015Tochigi Uva(away)3-0J3 League
Mar 21, 2015Maruyasu Okazaki(home)3-1J3 League
Mar 14, 2015Nara Club(away)1-2J3 League
Honda Lock
DateOpponentScoreCompetition
Apr 12, 2015Kagoshima United(home)0-2J3 League
Apr 4, 2015Sony Sendai(away)0-1J3 League
Mar 29, 2015Tokyo Musashino City(home)2-1J3 League
Mar 22, 2015Verspah Oita(away)2-0J3 League
Mar 15, 2015Azul Claro Numazu(home)2-1J3 League

What does the head-to-head say?

Across the last 6 meetings: 4 Sagawa Printing wins, 0 draws, 2 Honda Lock wins.

DateScoreCompetition
Oct 26, 2014Sagawa Printing 2-1 Honda LockJ3 League
Apr 20, 2014Honda Lock 3-1 Sagawa PrintingJ3 League
Oct 26, 2013Honda Lock 0-3 Sagawa PrintingJ3 League
Jun 15, 2013Sagawa Printing 2-0 Honda LockJ3 League
Oct 17, 2012Sagawa Printing 0-1 Honda LockJ3 League
Apr 1, 2012Honda Lock 0-1 Sagawa PrintingJ3 League

Last archived meeting: Sagawa Printing vs Honda Lock on Oct 26, 2014

How many goals should we expect?

Sagawa Printing score 2.4 and concede 0.8 goals per match over their last 15; Honda Lock score 1.5 and concede 1.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sagawa Printing2.40.876/1511/15
Honda Lock1.51.6210/1510/15

Over the last 15 matches in all competitions.

A question about Sagawa Printing 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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