Match

Matsumoto Yamaga vs Roasso Kumamoto: result 2-2 and analysis

Emperor Cup2nd RoundKick-off on June 6, 2018 at 10:00 AM (UTC)Sunpro Alwin Stadium, Matsumoto

Matsumoto Yamaga
2-2
Roasso Kumamoto

Full time

What was the result of Matsumoto Yamaga vs Roasso Kumamoto?

Matsumoto Yamaga and Roasso Kumamoto drew 2-2 on June 6, 2018.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Matsumoto Yamaga have 7 wins, 5 draws and 3 defeats; Roasso Kumamoto have 5, 2 and 8.

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

Matsumoto Yamaga
DateOpponentScoreCompetition
Jun 3, 2018Tochigi SC(home)1-0J2 League
May 26, 2018Tokushima Vortis(away)1-1J2 League
May 20, 2018Avispa Fukuoka(home)1-0J2 League
May 12, 2018Kanazawa(home)5-0J2 League
May 6, 2018FC Gifu(away)0-2J2 League
Roasso Kumamoto
DateOpponentScoreCompetition
Jun 3, 2018Oita Trinita(away)0-2J2 League
May 27, 2018JEF United Chiba(away)1-3J2 League
May 20, 2018Mito Hollyhock(home)2-1J2 League
May 12, 2018Yokohama FC(away)2-4J2 League
May 6, 2018Ventforet Kofu(home)1-4J2 League

What does the head-to-head say?

Across the last 6 meetings: 4 Matsumoto Yamaga win(s), 0 draw(s), 2 Roasso Kumamoto win(s).

DateScoreCompetition
Oct 7, 2017Matsumoto Yamaga 1-0 Roasso KumamotoJ2 League
Apr 16, 2017Roasso Kumamoto 2-0 Matsumoto YamagaJ2 League
Nov 3, 2016Matsumoto Yamaga 1-0 Roasso KumamotoJ2 League
Feb 28, 2016Roasso Kumamoto 1-0 Matsumoto YamagaJ2 League
Jul 30, 2014Matsumoto Yamaga 2-1 Roasso KumamotoJ2 League
Mar 9, 2014Roasso Kumamoto 0-1 Matsumoto YamagaJ2 League

Last archived meeting: Matsumoto Yamaga vs Roasso Kumamoto on Oct 7, 2017

How many goals should we expect?

Matsumoto Yamaga score 1.5 and concede 0.9 goals per match over their last 15; Roasso Kumamoto score 1.3 and concede 1.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Matsumoto Yamaga1.50.968/155/15
Roasso Kumamoto1.31.9112/1512/15

Over the last 15 matches in all competitions.

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: Matsumoto Yamaga and Roasso Kumamoto

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