Match

Nagoya Grampus vs Jubilo Iwata: result 1-1 and analysis

J1 LeagueRegular Season - 1Kick-off on March 2, 2013 at 05:00 AM (UTC)Toyota Stadium, Toyota

Nagoya Grampus
1-1
Jubilo Iwata

Full time

What was the result of Nagoya Grampus vs Jubilo Iwata?

Nagoya Grampus and Jubilo Iwata drew 1-1 on March 2, 2013.

Goalscorers

  • 35′Marcus Tulio TanakaNagoya Grampus
  • 71′H. YamadaJubilo Iwata

What is the recent form of both teams?

Over their last 15 matches in all competitions, Nagoya Grampus have 8 wins, 3 draws and 4 defeats; Jubilo Iwata have 4, 4 and 7.

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

Nagoya Grampus
DateOpponentScoreCompetition
Dec 23, 2012Yokohama F. Marinos(home)0-0Emperor Cup
Dec 15, 2012Roasso Kumamoto(home)5-2Emperor Cup
Dec 1, 2012Urawa(away)0-2J1 League
Nov 24, 2012Kashima(home)1-2J1 League
Nov 17, 2012Jubilo Iwata(away)2-0J1 League
Jubilo Iwata
DateOpponentScoreCompetition
Dec 15, 2012Kashima(away)1-3Emperor Cup
Dec 1, 2012Gamba Osaka(home)2-1J1 League
Nov 24, 2012Omiya Ardija(away)0-2J1 League
Nov 17, 2012Nagoya Grampus(home)0-2J1 League
Nov 7, 2012Sagan Tosu(away)2-3J1 League

What does the head-to-head say?

Across the last 2 meetings: 2 Nagoya Grampus wins, 0 draws, 0 Jubilo Iwata wins.

DateScoreCompetition
Nov 17, 2012Jubilo Iwata 0-2 Nagoya GrampusJ1 League
Jun 23, 2012Nagoya Grampus 2-0 Jubilo IwataJ1 League

Last archived meeting: Jubilo Iwata vs Nagoya Grampus on Nov 17, 2012

How many goals should we expect?

Nagoya Grampus score 1.5 and concede 1.1 goals per match over their last 15; Jubilo Iwata score 1.4 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Nagoya Grampus1.51.176/156/15
Jubilo Iwata1.41.538/158/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
12Nagoya Grampus10406121612

A question about Nagoya Grampus vs Jubilo Iwata?

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

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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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