Match

Omiya Ardija vs Kashima: result 1-0 and analysis

J-League CupGroup Stage - 7Kick-off on June 5, 2016 at 05:00 AM (UTC)NACK5 Stadium, Saitama

Omiya Ardija
1-0
Kashima

Full time

What was the result of Omiya Ardija vs Kashima?

Omiya Ardija won 1-0 on June 5, 2016.

Goalscorers

  • 88′N. PečnikOmiya Ardija

What is the recent form of both teams?

Over their last 15 matches in all competitions, Omiya Ardija have 8 wins, 6 draws and 1 defeat; Kashima have 7, 4 and 4.

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

Omiya Ardija
DateOpponentScoreCompetition
May 29, 2016Vissel Kobe(home)2-2J1 League
May 21, 2016Sagan Tosu(away)1-0J1 League
May 18, 2016Jubilo Iwata(home)1-0J-League Cup
May 14, 2016Vegalta Sendai(away)1-0J1 League
May 8, 2016Urawa(home)0-1J1 League
Kashima
DateOpponentScoreCompetition
May 29, 2016Ventforet Kofu(home)4-0J1 League
May 25, 2016Jubilo Iwata(home)1-1J-League Cup
May 21, 2016Nagoya Grampus(away)3-2J1 League
May 18, 2016Shonan Bellmare(home)2-3J-League Cup
May 14, 2016Yokohama F. Marinos(home)1-0J1 League

What does the head-to-head say?

Across the last 6 meetings: 2 Omiya Ardija wins, 3 draws, 1 Kashima win.

DateScoreCompetition
Apr 30, 2016Omiya Ardija 0-0 KashimaJ1 League
Sep 13, 2014Omiya Ardija 2-1 KashimaJ1 League
Jul 23, 2014Kashima 2-2 Omiya ArdijaJ1 League
Aug 3, 2013Kashima 1-0 Omiya ArdijaJ1 League
Mar 30, 2013Omiya Ardija 3-1 KashimaJ1 League
Nov 7, 2012Omiya Ardija 0-0 KashimaJ1 League

Last archived meeting: Omiya Ardija vs Kashima on Apr 30, 2016

How many goals should we expect?

Omiya Ardija score 1.0 and concede 0.5 goals per match over their last 15; Kashima score 1.8 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Omiya Ardija1.00.586/153/15
Kashima1.81.3410/159/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025 standings
#ClubPWDLGFGAPts
2Kashima63126410

A question about Omiya Ardija vs Kashima?

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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