Match

Machida Zelvia vs Mito Hollyhock: result 0-0 and analysis

J2 LeagueRegular Season - 16Kick-off on May 27, 2012 at 07:00 AM (UTC)Machida Gion Stadium, Tokyo

Machida Zelvia
0-0
Mito Hollyhock

Full time

What was the result of Machida Zelvia vs Mito Hollyhock?

Machida Zelvia and Mito Hollyhock drew 0-0 on May 27, 2012.

Official lineup for Machida Zelvia vs Mito Hollyhock

The starting elevens fielded at kick-off.

Machida Zelvia

  1. 20K. Suzuki
  2. 25K. Hiramoto
  1. 10Dragan Dimic
  2. 17T. Suzuki
  3. 26Colin Jenkins Marshall
  1. 2K. Tsuda
  2. 3Taisei Fujita
  3. 5M. Tashiro
  4. 6K. Ota
  5. 18K. Miki
  1. 1T. Shugyo

Mito Hollyhock

  1. 3N. Wako
  2. 10K. Hashimoto
  3. 14K. Nishioka
  4. 15Yuki Shimada
  5. 24F. Romero
  6. 28T. Ozawa
  1. 4K. Omoto
  2. 6T. Shiotani
  3. 17Y. Suzuki
  4. 25Daisuke Ichikawa
  1. 1K. Homma
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Machida Zelvia have 3 wins, 2 draws and 10 defeats; Mito Hollyhock have 7, 3 and 5.

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

Machida Zelvia
DateOpponentScoreCompetition
May 20, 2012Oita Trinita(away)1-2J2 League
May 13, 2012JEF United Chiba(home)1-6J2 League
May 6, 2012Kataller Toyama(away)1-1J2 League
May 3, 2012Kitakyushu(home)0-1J2 League
Apr 30, 2012Yokohama FC(away)4-2J2 League
Mito Hollyhock
DateOpponentScoreCompetition
May 20, 2012Ehime FC(home)0-2J2 League
May 13, 2012Gainare Tottori(away)1-2J2 League
May 6, 2012Tokyo Verdy(home)0-2J2 League
May 3, 2012FC Gifu(away)1-0J2 League
Apr 30, 2012Tokushima Vortis(home)2-1J2 League

How many goals should we expect?

Machida Zelvia score 0.9 and concede 1.7 goals per match over their last 15; Mito Hollyhock score 0.9 and concede 0.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Machida Zelvia0.91.727/157/15
Mito Hollyhock0.90.865/155/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025 standings
#ClubPWDLGFGAPts
1Mito Hollyhock3820108553470

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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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