Match

Kashima vs Kawasaki Frontale: result 0-1 and analysis

J1 LeagueRegular Season - 2Kick-off on March 17, 2012 at 05:00 AM (UTC)Kashima Soccer Stadium, Kashima

Kashima
0-1
Kawasaki Frontale

Full time

What was the result of Kashima vs Kawasaki Frontale?

Kawasaki Frontale won 0-1 on March 17, 2012.

Goalscorers

  • 45′RenatinhoKawasaki Frontale

Official lineup for Kashima vs Kawasaki Frontale

The starting elevens fielded at kick-off.

Kashima

  1. 8Carlos Alberto Carvalho dos Anjos Junior
  2. 9Y. Osako
  1. 5Alex Antônio de Melo Santos
  2. 6Koji Nakata
  3. 14C. Masuda
  4. 20G. Shibasaki
  5. 25Y. Endo
  6. 40M. Ogasawara
  1. 3Daiki Iwamasa
  2. 7Toru Araiba
  1. 21H. Sogahata

Kawasaki Frontale

  1. 10Renatinho
  2. 17R. Komatsu
  1. 6Yusuke Tasaka
  2. 13K. Yamase
  3. 14K. Nakamura
  4. 19K. Shibasaki
  1. 5Jecimauro Jose Borges Dos Santos
  2. 8Takanobu Komiyama
  3. 15Y. Saneto
  4. 33Shun Morishita
  1. 21Yohei Nishibe
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What is the recent form of both teams?

In their last match in all competitions, Kashima have 0 wins, 0 draws and 1 defeat; Kawasaki Frontale have 1, 0 and 0.

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

Kashima
DateOpponentScoreCompetition
Mar 10, 2012Vegalta Sendai(away)0-1J1 League
Kawasaki Frontale
DateOpponentScoreCompetition
Mar 10, 2012Albirex Niigata(home)1-0J1 League

How many goals should we expect?

Kashima score 0.0 and concede 1.0 goals per match in their last match; Kawasaki Frontale score 1.0 and concede 0.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Kashima0.01.000/10/1
Kawasaki Frontale1.00.010/10/1

Over the last match in all competitions.

Where do both teams sit in the table?

Kashima sit 6th in J1 League (16 points from 9 matches) and Kawasaki Frontale sit 8th (13 points from 9 matches).

2026-27 standings
#ClubPWDLGFGAPts
6Kashima9513191616
8Kawasaki Frontale9342171413

A question about Kashima vs Kawasaki Frontale?

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

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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