Match

Kashima vs Omiya Ardija: result 1-0 and analysis

J-League Cup1st Round - 2Kick-off on April 4, 2012 at 10:00 AM (UTC)Kashima Soccer Stadium, Kashima

Kashima
1-0
Omiya Ardija

Full time

What was the result of Kashima vs Omiya Ardija?

Kashima won 1-0 on April 4, 2012.

Goalscorers

  • 32′S. KorokiKashima

Official lineup for Kashima vs Omiya Ardija

The starting elevens fielded at kick-off.

Kashima

  1. YY. Osako
  2. SS. Koroki
  1. MM. Ogasawara
  2. YY. Endo
  3. GG. Shibasaki
  4. KK. Yamamura
  5. TT. Umebachi
  1. DDaiki Iwamasa
  2. TToru Araiba
  3. DD. Nishi
  1. HH. Sogahata

Omiya Ardija

  1. DDaisuke Watabe
  2. YYoung-Cheol Cho
  3. YYu Hasegawa
  1. YYosuke Kataoka
  2. KKota Ueda
  3. CCarlos Pereira Berto Junior
  4. JJun Kanakubo
  1. TTakumi Shimohira
  2. KKosuke Kikuchi
  3. TT. Aoki
  1. TTakashi Kitano
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What is the recent form of both teams?

Over their last 5 matches in all competitions, Kashima have 1 win, 1 draw and 3 defeats; Omiya Ardija have 1, 2 and 2.

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

Kashima
DateOpponentScoreCompetition
Mar 31, 2012Yokohama F. Marinos(away)0-0J1 League
Mar 24, 2012Sanfrecce Hiroshima(away)0-2J1 League
Mar 20, 2012Vissel Kobe(home)2-0J-League Cup
Mar 17, 2012Kawasaki Frontale(home)0-1J1 League
Mar 10, 2012Vegalta Sendai(away)0-1J1 League
Omiya Ardija
DateOpponentScoreCompetition
Mar 31, 2012Nagoya Grampus(home)1-1J1 League
Mar 24, 2012Vegalta Sendai(away)1-4J1 League
Mar 20, 2012Yokohama F. Marinos(home)1-1J-League Cup
Mar 17, 2012Albirex Niigata(away)2-1J1 League
Mar 10, 2012FC Tokyo(home)0-1J1 League

How many goals should we expect?

Kashima score 0.4 and concede 0.8 goals per match over their last 5; Omiya Ardija score 1.0 and concede 1.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Kashima0.40.820/50/5
Omiya Ardija1.01.604/52/5

Over the last 5 matches in all competitions.

Where do both teams sit in the table?

2025 standings
#ClubPWDLGFGAPts
2Kashima63126410

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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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