Match

Sagamihara vs Matsumoto Yamaga: result 1-1 and analysis

J2 LeagueRegular Season - 41Kick-off on November 28, 2021 at 04:00 AM (UTC)Sagamihara Gion Stadium, Sagamihara

Sagamihara
1-1
Matsumoto Yamaga

Full time

What was the result of Sagamihara vs Matsumoto Yamaga?

Sagamihara and Matsumoto Yamaga drew 1-1 on November 28, 2021.

Goalscorers

  • 90′S. KodamaSagamihara
  • 90′S. KimuraMatsumoto Yamaga (o.g.)

What is the recent form of both teams?

Over their last 15 matches in all competitions, Sagamihara have 4 wins, 5 draws and 6 defeats; Matsumoto Yamaga have 1, 5 and 9.

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

Sagamihara
DateOpponentScoreCompetition
Nov 21, 2021Ehime FC(away)2-1J2 League
Nov 14, 2021Fagiano Okayama(home)2-3J2 League
Nov 7, 2021Thespakusatsu Gunma(away)1-1J2 League
Nov 3, 2021Blaublitz Akita(home)0-1J2 League
Oct 30, 2021Kitakyushu(away)2-1J2 League
Matsumoto Yamaga
DateOpponentScoreCompetition
Nov 21, 2021Renofa Yamaguchi(home)1-1J2 League
Nov 14, 2021Ventforet Kofu(away)2-3J2 League
Nov 7, 2021Albirex Niigata(home)1-1J2 League
Nov 3, 2021Machida Zelvia(away)2-3J2 League
Oct 30, 2021Thespakusatsu Gunma(away)0-1J2 League

What does the head-to-head say?

Across the last 1 meetings: 0 Sagamihara win(s), 0 draw(s), 1 Matsumoto Yamaga win(s).

DateScoreCompetition
May 5, 2021Matsumoto Yamaga 2-1 SagamiharaJ2 League

Last archived meeting: Matsumoto Yamaga vs Sagamihara on May 5, 2021

How many goals should we expect?

Sagamihara score 1.2 and concede 1.3 goals per match over their last 15; Matsumoto Yamaga score 0.8 and concede 1.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sagamihara1.21.339/156/15
Matsumoto Yamaga0.81.918/158/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Sagamihara sit 5th in J2 League (28 points from 18 matches) and Matsumoto Yamaga sit 7th (26 points from 18 matches).

2026-27 standings
#ClubPWDLGFGAPts
5Sagamihara18756313328
7Matsumoto Yamaga18666312126

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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