Match

Kitakyushu vs Fagiano Okayama: result 0-0 and analysis

J2 LeagueMatchday 2Kick-off on March 11, 2012 at 04:00 AM (UTC)Mikuni World Stadium, Kitakyushu

Kitakyushu
0-0
Fagiano Okayama

Full time

What was the result of Kitakyushu vs Fagiano Okayama?

Kitakyushu and Fagiano Okayama drew 0-0 on March 11, 2012.

Official lineup for Kitakyushu vs Fagiano Okayama

The starting elevens fielded at kick-off.

Kitakyushu

  1. 11Tomoki Ikemoto
  2. 21J. Hanato
  1. 7Y. Kimura
  2. 8Kota Morimura
  3. 10K. Yasuda
  4. 13Mitsuhiro Seki
  5. 25R. Arai
  1. 2T. Miyamoto
  2. 15K. Noborio
  3. 22C. Killoran
  1. 1Y. Sato

Fagiano Okayama

  1. 10Tiago Jorge Honório
  1. 7Kim Min-Kyun
  2. 11Shinichiro Kuwada
  3. 14Ren Sengoku
  4. 17Kota Hattori
  5. 36Kenji Sekido
  1. 2Masahiko Sawaguchi
  2. 3Keita Goto
  3. 5Ryujiro Ueda
  4. 30Y. Ichiyanagi
  1. 1H. Nakabayashi
Ask the AI a questionSign-in required.

What is the recent form of both teams?

In their last match in all competitions, Kitakyushu have 0 wins, 0 draws and 1 defeat; Fagiano Okayama have 0, 1 and 0.

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

Kitakyushu
DateOpponentScoreCompetition
Mar 4, 2012Tokushima Vortis(home)1-2J2 League
Fagiano Okayama
DateOpponentScoreCompetition
Mar 4, 2012Kataller Toyama(home)1-1J2 League

How many goals should we expect?

Kitakyushu score 1.0 and concede 2.0 goals per match in their last match; Fagiano Okayama score 1.0 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Kitakyushu1.02.001/11/1
Fagiano Okayama1.01.001/10/1

Over the last match in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
10Kitakyushu184311173215

A question about Kitakyushu vs Fagiano Okayama?

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

Ask the AI a question

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

Other matches in the same round

Next match: Kitakyushu and Fagiano Okayama