Match

Matsumoto Yamaga vs Sagamihara: result 1-0 and analysis

J3 LeagueRegular Season - 34Kick-off on November 20, 2022 at 05:00 AM (UTC)Sunpro Alwin Stadium, Matsumoto

Matsumoto Yamaga
1-0
Sagamihara

Full time

What was the result of Matsumoto Yamaga vs Sagamihara?

Matsumoto Yamaga won 1-0 on November 20, 2022.

Goalscorers

  • 90′R. NakayamaMatsumoto Yamaga

What is the recent form of both teams?

Over their last 15 matches in all competitions, Matsumoto Yamaga have 8 wins, 2 draws and 5 defeats; Sagamihara have 1, 5 and 9.

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

Matsumoto Yamaga
DateOpponentScoreCompetition
Nov 13, 2022Tegevajaro Miyazaki(away)1-4J3 League
Nov 6, 2022Kataller Toyama(away)3-4J3 League
Oct 30, 2022Parceiro Nagano(home)2-1J3 League
Oct 23, 2022Imabari(away)2-1J3 League
Oct 15, 2022FC Gifu(home)2-1J3 League
Sagamihara
DateOpponentScoreCompetition
Nov 13, 2022Iwaki(home)1-2J3 League
Nov 6, 2022Kitakyushu(away)1-3J3 League
Oct 30, 2022FC Gifu(home)0-0J3 League
Oct 23, 2022Kamatamare Sanuki(away)2-2J3 League
Oct 16, 2022Parceiro Nagano(away)1-3J3 League

What does the head-to-head say?

Across the last 3 meetings: 2 Matsumoto Yamaga win(s), 1 draw(s), 0 Sagamihara win(s).

DateScoreCompetition
Apr 3, 2022Sagamihara 1-4 Matsumoto YamagaJ3 League
Nov 28, 2021Sagamihara 1-1 Matsumoto YamagaJ2 League
May 5, 2021Matsumoto Yamaga 2-1 SagamiharaJ2 League

Last archived meeting: Sagamihara vs Matsumoto Yamaga on Apr 3, 2022

How many goals should we expect?

Matsumoto Yamaga score 1.3 and concede 1.3 goals per match over their last 15; Sagamihara score 0.9 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Matsumoto Yamaga1.31.358/158/15
Sagamihara0.91.537/157/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Matsumoto Yamaga sit 16th in J3 League (2 points from 3 matches) and Sagamihara sit 3rd (7 points from 3 matches).

2026-27 standings
#ClubPWDLGFGAPts
3Sagamihara3210627
16Matsumoto Yamaga3021452

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: Matsumoto Yamaga and Sagamihara

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