Match

Matsumoto Yamaga vs Kitakyushu: result 1-0 and analysis

J2 LeagueMatchday 3Kick-off on March 17, 2012 at 05:00 AM (UTC)Sunpro Alwin Stadium, Matsumoto

Matsumoto Yamaga
1-0
Kitakyushu

Full time

What was the result of Matsumoto Yamaga vs Kitakyushu?

Matsumoto Yamaga won 1-0 on March 17, 2012.

Goalscorers

  • 19′M. IidaMatsumoto Yamaga

Official lineup for Matsumoto Yamaga vs Kitakyushu

The starting elevens fielded at kick-off.

Matsumoto Yamaga

  1. 11M. Katayama
  2. 13T. Kijima
  3. 38K. Kiyama
  1. 5K. Komatsu
  2. 8K. Tsurumaki
  3. 18Akihito Kusunose
  1. 4M. Iida
  2. 14Mutsumi Tamabayashi
  3. 23A. Tatara
  4. 28K. Lio
  1. 21Yosuke Nozawa

Kitakyushu

  1. 11Tomoki Ikemoto
  2. 18S. Tokiwa
  3. 21J. Hanato
  1. 5Kim Jong-Pil
  2. 6Y. Fuji
  3. 7Y. Kimura
  4. 14R. Takeuchi
  1. 2T. Miyamoto
  2. 22C. Killoran
  3. 23K. Takano
  1. 1Y. Sato
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What is the recent form of both teams?

Over their last 2 matches in all competitions, Matsumoto Yamaga have 0 wins, 0 draws and 2 defeats; Kitakyushu have 0, 1 and 1.

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

Matsumoto Yamaga
DateOpponentScoreCompetition
Mar 11, 2012Montedio Yamagata(home)1-2J2 League
Mar 4, 2012Tokyo Verdy(away)0-2J2 League
Kitakyushu
DateOpponentScoreCompetition
Mar 11, 2012Fagiano Okayama(home)0-0J2 League
Mar 4, 2012Tokushima Vortis(home)1-2J2 League

How many goals should we expect?

Matsumoto Yamaga score 0.5 and concede 2.0 goals per match over their last 2; Kitakyushu score 0.5 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Matsumoto Yamaga0.52.001/21/2
Kitakyushu0.51.011/21/2

Over the last 2 matches in all competitions.

Where do both teams sit in the table?

Matsumoto Yamaga sit 7th in J2 League (26 points from 18 matches) and Kitakyushu sit 10th (15 points from 18 matches).

2026-27 standings
#ClubPWDLGFGAPts
7Matsumoto YamagaEast B18666312126
10KitakyushuWest B184311173215

A question about Matsumoto Yamaga vs Kitakyushu?

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

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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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