Match

Nagoya Grampus vs Matsumoto Yamaga: result 0-1 and analysis

J1 LeagueRegular Season - 13Kick-off on May 26, 2019 at 06:00 AM (UTC)Toyota Stadium, Toyota

Nagoya Grampus
0-1
Matsumoto Yamaga

Full time

What was the result of Nagoya Grampus vs Matsumoto Yamaga?

Matsumoto Yamaga won 0-1 on May 26, 2019.

Goalscorers

  • 16′T. SugimotoMatsumoto Yamaga

What is the recent form of both teams?

Over their last 15 matches in all competitions, Nagoya Grampus have 7 wins, 5 draws and 3 defeats; Matsumoto Yamaga have 2, 4 and 9.

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

Nagoya Grampus
DateOpponentScoreCompetition
May 22, 2019Vissel Kobe(away)3-1J-League Cup
May 17, 2019Kawasaki Frontale(away)1-1J1 League
May 12, 2019Urawa(home)2-0J1 League
May 8, 2019Cerezo Osaka(home)2-2J-League Cup
May 4, 2019Shonan Bellmare(away)1-1J1 League
Matsumoto Yamaga
DateOpponentScoreCompetition
May 22, 2019Gamba Osaka(home)0-0J-League Cup
May 18, 2019Kashima(away)0-5J1 League
May 12, 2019Consadole Sapporo(home)0-0J1 League
May 8, 2019Jubilo Iwata(away)0-1J-League Cup
May 4, 2019Cerezo Osaka(home)0-2J1 League

What does the head-to-head say?

Across the last 4 meetings: 3 Nagoya Grampus win(s), 1 draw(s), 0 Matsumoto Yamaga win(s).

DateScoreCompetition
Aug 12, 2017Nagoya Grampus 5-2 Matsumoto YamagaJ2 League
Mar 26, 2017Matsumoto Yamaga 1-2 Nagoya GrampusJ2 League
Aug 16, 2015Matsumoto Yamaga 0-1 Nagoya GrampusJ1 League
Mar 7, 2015Nagoya Grampus 3-3 Matsumoto YamagaJ1 League

Last archived meeting: Nagoya Grampus vs Matsumoto Yamaga on Aug 12, 2017

How many goals should we expect?

Nagoya Grampus score 1.6 and concede 1.1 goals per match over their last 15; Matsumoto Yamaga score 0.5 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Nagoya Grampus1.61.149/158/15
Matsumoto Yamaga0.51.535/155/15

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

Other matches in the same round

Next match: Nagoya Grampus and Matsumoto Yamaga

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