Match

Kitakyushu vs Mito Hollyhock: result 1-0 and analysis

J2 LeagueRegular Season - 4Kick-off on March 20, 2012 at 07:00 AM (UTC)Mikuni World Stadium, Kitakyushu

Kitakyushu
1-0
Mito Hollyhock

Full time

What was the result of Kitakyushu vs Mito Hollyhock?

Kitakyushu won 1-0 on March 20, 2012.

Goalscorers

  • 51′D. WatariKitakyushu

Official lineup for Kitakyushu vs Mito Hollyhock

The starting elevens fielded at kick-off.

Kitakyushu

  1. 11Tomoki Ikemoto
  2. 24D. Watari
  1. 6Y. Fuji
  2. 7Y. Kimura
  3. 8Kota Morimura
  4. 10K. Yasuda
  5. 13Mitsuhiro Seki
  6. 25R. Arai
  1. 2T. Miyamoto
  2. 15K. Noborio
  1. 1Y. Sato

Mito Hollyhock

  1. 30Takayuki Suzuki
  1. 3N. Wako
  2. 8S. Murata
  3. 10K. Hashimoto
  4. 15Yuki Shimada
  5. 24F. Romero
  6. 28T. Ozawa
  1. 6T. Shiotani
  2. 18Kim Yong-Gi
  3. 25Daisuke Ichikawa
  1. 1K. Homma
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What is the recent form of both teams?

Over their last 3 matches in all competitions, Kitakyushu have 0 wins, 1 draw and 2 defeats; Mito Hollyhock have 3, 0 and 0.

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

Kitakyushu
DateOpponentScoreCompetition
Mar 17, 2012Matsumoto Yamaga(away)0-1J2 League
Mar 11, 2012Fagiano Okayama(home)0-0J2 League
Mar 4, 2012Tokushima Vortis(home)1-2J2 League
Mito Hollyhock
DateOpponentScoreCompetition
Mar 17, 2012Fagiano Okayama(away)3-0J2 League
Mar 11, 2012Kataller Toyama(home)1-0J2 League
Mar 4, 2012Yokohama FC(home)2-1J2 League

How many goals should we expect?

Kitakyushu score 0.3 and concede 1.0 goals per match over their last 3; Mito Hollyhock score 2.0 and concede 0.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Kitakyushu0.31.011/31/3
Mito Hollyhock2.00.321/32/3

Over the last 3 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
10Kitakyushu184311173215

A question about Kitakyushu vs Mito Hollyhock?

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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