Match

Gainare Tottori vs Machida Zelvia: result 0-3 and analysis

J2 LeagueRegular Season - 3Kick-off on March 17, 2012 at 04:00 AM (UTC)Axis Bird Stadium, Tottori

Gainare Tottori
0-3
Machida Zelvia

Full time

What was the result of Gainare Tottori vs Machida Zelvia?

Machida Zelvia won 0-3 on March 17, 2012.

Goalscorers

  • 48′K. HiramotoMachida Zelvia
  • 89′Yoshinori KatsumataMachida Zelvia
  • 90′Yoshinori KatsumataMachida Zelvia

Official lineup for Gainare Tottori vs Machida Zelvia

The starting elevens fielded at kick-off.

Gainare Tottori

  1. 29M. Fukui
  1. 8A. Mio
  2. 10N. Sanenobu
  3. 17T. Tsurumi
  4. 25Y. Okuyama
  1. 2E. Ozaki
  2. 3H. Kato
  3. 4K. Togawa
  4. 6T. Nagira
  5. 22E. Mori
  1. 48Kiyomitsu Kobari

Machida Zelvia

  1. 25K. Hiramoto
  1. 15S. Yanagizaki
  2. 16Y. Shoji
  3. 17T. Suzuki
  4. 19Y. Kitai
  5. 26Colin Jenkins Marshall
  1. 2K. Tsuda
  2. 3Taisei Fujita
  3. 5M. Tashiro
  4. 14Jun Sonoda
  1. 21T. Aizawa
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What is the recent form of both teams?

Over their last 2 matches in all competitions, Gainare Tottori have 0 wins, 1 draw and 1 defeat; Machida Zelvia have 0, 0 and 2.

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

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

How many goals should we expect?

Gainare Tottori score 1.5 and concede 2.0 goals per match over their last 2; Machida Zelvia score 0.0 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Gainare Tottori1.52.002/22/2
Machida Zelvia0.01.500/20/2

Over the last 2 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
6Gainare Tottori18657202427

A question about Gainare Tottori vs Machida Zelvia?

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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Next match: Gainare Tottori and Machida Zelvia

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