Match

Kashima vs Sagan Tosu: result 0-0 and analysis

J1 LeagueRegular Season - 10Kick-off on May 6, 2012 at 10:00 AM (UTC)Kashima Soccer Stadium, Kashima

Kashima
0-0
Sagan Tosu

Full time

What was the result of Kashima vs Sagan Tosu?

Kashima and Sagan Tosu drew 0-0 on May 6, 2012.

Official lineup for Kashima vs Sagan Tosu

The starting elevens fielded at kick-off.

Kashima

  1. 9Y. Osako
  2. 11Júnior Dutra
  3. 13S. Koroki
  1. 4K. Yamamura
  2. 20G. Shibasaki
  3. 25Y. Endo
  4. 40M. Ogasawara
  1. 3Daiki Iwamasa
  2. 7Toru Araiba
  3. 22D. Nishi
  1. 21H. Sogahata

Sagan Tosu

  1. 11Y. Toyoda
  2. 18R. Noda
  1. 6Tomotaka Okamoto
  2. 8K. Mizunuma
  3. 10Kim Min-Woo
  4. 14N. Fujita
  5. 15R. Niwa
  1. 4Teruaki Kobayashi
  2. 5Kun-Hoan Kim
  3. 20Sung-Hye Yeo
  1. 1T. Akahoshi
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What is the recent form of both teams?

Over their last 12 matches in all competitions, Kashima have 6 wins, 1 draw and 5 defeats; Sagan Tosu have 5, 3 and 3.

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

Kashima
DateOpponentScoreCompetition
May 3, 2012Shimizu S-pulse(away)0-3J1 League
Apr 28, 2012Gamba Osaka(home)5-0J1 League
Apr 21, 2012Cerezo Osaka(home)3-2J1 League
Apr 18, 2012Consadole Sapporo(away)2-1J-League Cup
Apr 14, 2012FC Tokyo(away)2-1J1 League
Sagan Tosu
DateOpponentScoreCompetition
May 3, 2012Vegalta Sendai(home)1-1J1 League
Apr 28, 2012Kashiwa Reysol(away)1-1J1 League
Apr 21, 2012Albirex Niigata(home)1-0J1 League
Apr 14, 2012Sanfrecce Hiroshima(home)1-0J1 League
Apr 7, 2012Nagoya Grampus(away)0-1J1 League

How many goals should we expect?

Kashima score 1.3 and concede 1.2 goals per match over their last 12; Sagan Tosu score 1.0 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Kashima1.31.244/126/12
Sagan Tosu1.00.754/113/11

Over the last 12 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
6Kashima9513191616

A question about Kashima vs Sagan Tosu?

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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