Match

Nagoya Grampus vs Omiya Ardija: result 2-1 and analysis

J1 LeagueRegular Season - 30Kick-off on October 27, 2013 at 07:00 AM (UTC)Toyota Stadium, Toyota

Nagoya Grampus
2-1
Omiya Ardija

Full time

What was the result of Nagoya Grampus vs Omiya Ardija?

Nagoya Grampus won 2-1 on October 27, 2013.

Goalscorers

  • 37′M. NovakovičOmiya Ardija
  • 67′Marcus Tulio TanakaNagoya Grampus
  • 86′Marcus Tulio TanakaNagoya Grampus

What is the recent form of both teams?

Over their last 15 matches in all competitions, Nagoya Grampus have 6 wins, 4 draws and 5 defeats; Omiya Ardija have 2, 1 and 12.

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

Nagoya Grampus
DateOpponentScoreCompetition
Oct 19, 2013Vegalta Sendai(away)1-2J1 League
Oct 5, 2013Shonan Bellmare(away)1-1J1 League
Sep 28, 2013Kawasaki Frontale(home)1-2J1 League
Sep 21, 2013FC Tokyo(home)0-2J1 League
Sep 14, 2013Shimizu S-pulse(away)1-2J1 League
Omiya Ardija
DateOpponentScoreCompetition
Oct 19, 2013Oita Trinita(home)0-1J1 League
Oct 13, 2013Gamba Osaka(home)0-0Emperor Cup
Oct 5, 2013Urawa(away)0-4J1 League
Sep 28, 2013FC Tokyo(home)2-5J1 League
Sep 21, 2013Vegalta Sendai(home)0-2J1 League

What does the head-to-head say?

Across the last 3 meetings: 0 Nagoya Grampus win(s), 2 draw(s), 1 Omiya Ardija win(s).

DateScoreCompetition
Jul 10, 2013Omiya Ardija 2-1 Nagoya GrampusJ1 League
Oct 6, 2012Nagoya Grampus 0-0 Omiya ArdijaJ1 League
Mar 31, 2012Omiya Ardija 1-1 Nagoya GrampusJ1 League

Last archived meeting: Omiya Ardija vs Nagoya Grampus on Jul 10, 2013

How many goals should we expect?

Nagoya Grampus score 1.5 and concede 1.4 goals per match over their last 15; Omiya Ardija score 0.9 and concede 2.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Nagoya Grampus1.51.4112/158/15
Omiya Ardija0.92.036/159/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
13Nagoya Grampus3102443

How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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Next match: Nagoya Grampus and Omiya Ardija

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