Match

FC Tokyo vs Nagoya Grampus: result 3-2 and analysis

J1 LeagueRegular Season - 2Kick-off on March 17, 2012 at 10:00 AM (UTC)Ajinomoto Stadium, Chōfu

FC Tokyo
3-2
Nagoya Grampus

Full time

What was the result of FC Tokyo vs Nagoya Grampus?

FC Tokyo won 3-2 on March 17, 2012.

Goalscorers

  • 36′Keiji TamadaNagoya Grampus
  • 59′Naohiro IshikawaFC Tokyo
  • 67′A. HasegawaFC Tokyo
  • 73′Naohiro IshikawaFC Tokyo
  • 87′K. NagaiNagoya Grampus

Official lineup for FC Tokyo vs Nagoya Grampus

The starting elevens fielded at kick-off.

FC Tokyo

  1. 49Lucas
  1. 8A. Hasegawa
  2. 10Y. Kajiyama
  3. 18Naohiro Ishikawa
  4. 22Naotake Hanyu
  1. 2Yuhei Tokunaga
  2. 3M. Morishige
  3. 4H. Takahashi
  4. 5K. Kaga
  5. 6K. Ota
  1. 20S. Gonda

Nagoya Grampus

  1. 11Keiji Tamada
  2. 16Josh Kennedy
  3. 18K. Nagai
  1. 14Keiji Yoshimura
  2. 20D. Córdoba
  3. 25M. Kanazaki
  1. 4Marcus Tulio Tanaka
  2. 5Takahiro Masukawa
  3. 6Shohei Abe
  4. 32Hayuma Tanaka
  1. 1S. Narazaki
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What is the recent form of both teams?

In their last match in all competitions, FC Tokyo have 1 win, 0 draws and 0 defeats; Nagoya Grampus have 1, 0 and 0.

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

FC Tokyo
DateOpponentScoreCompetition
Mar 10, 2012Omiya Ardija(away)1-0J1 League
Nagoya Grampus
DateOpponentScoreCompetition
Mar 10, 2012Shimizu S-pulse(home)1-0J1 League

How many goals should we expect?

FC Tokyo score 1.0 and concede 0.0 goals per match in their last match; Nagoya Grampus score 1.0 and concede 0.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
FC Tokyo1.00.010/10/1
Nagoya Grampus1.00.010/10/1

Over the last match in all competitions.

Where do both teams sit in the table?

FC Tokyo sit 2nd in J1 League (23 points from 10 matches) and Nagoya Grampus sit 12th (12 points from 10 matches).

2026-27 standings
#ClubPWDLGFGAPts
2FC Tokyo1072121823
12Nagoya Grampus10406121612

A question about FC Tokyo vs Nagoya Grampus?

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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