Match

Machida Zelvia vs Roasso Kumamoto: result 1-0 and analysis

J2 LeagueRegular Season - 4Kick-off on March 20, 2012 at 04:00 AM (UTC)Machida Gion Stadium, Tokyo

Machida Zelvia
1-0
Roasso Kumamoto

Full time

What was the result of Machida Zelvia vs Roasso Kumamoto?

Machida Zelvia won 1-0 on March 20, 2012.

Goalscorers

  • 59′Y. KitaiMachida Zelvia

Official lineup for Machida Zelvia vs Roasso Kumamoto

The starting elevens fielded at kick-off.

Machida Zelvia

  1. 7Yoshinori Katsumata
  2. 25K. Hiramoto
  1. 15S. Yanagizaki
  2. 16Y. Shoji
  3. 17T. Suzuki
  4. 26Colin Jenkins Marshall
  1. 2K. Tsuda
  2. 3Taisei Fujita
  3. 5M. Tashiro
  4. 14Jun Sonoda
  1. 21T. Aizawa

Roasso Kumamoto

  1. 3Y. Takahashi
  2. 20K. Shiratani
  1. 10Yuji Yabu
  2. 11Chikara Fujimoto
  3. 14K. Taketomi
  4. 22K. Yoshii
  1. 4Tomonobu Hiroi
  2. 6T. Fukuo
  3. 7Shosuke Katayama
  4. 24Kazuto Tsuyuki
  1. 18Y. Minami
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What is the recent form of both teams?

Over their last 3 matches in all competitions, Machida Zelvia have 1 win, 0 draws and 2 defeats; Roasso Kumamoto have 1, 0 and 2.

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

Machida Zelvia
DateOpponentScoreCompetition
Mar 17, 2012Gainare Tottori(away)3-0J2 League
Mar 11, 2012Avispa Fukuoka(home)0-1J2 League
Mar 4, 2012Ehime FC(away)0-2J2 League
Roasso Kumamoto
DateOpponentScoreCompetition
Mar 17, 2012Kyoto Sanga(away)0-2J2 League
Mar 11, 2012Gainare Tottori(home)2-1J2 League
Mar 4, 2012Avispa Fukuoka(away)1-2J2 League

How many goals should we expect?

Machida Zelvia score 1.0 and concede 1.0 goals per match over their last 3; Roasso Kumamoto score 1.0 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Machida Zelvia1.01.010/31/3
Roasso Kumamoto1.01.702/32/3

Over the last 3 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
5Roasso Kumamoto18828202027

A question about Machida Zelvia vs Roasso Kumamoto?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

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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Next match: Machida Zelvia and Roasso Kumamoto

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