Match

Vissel Kobe vs Matsumoto Yamaga: result 2-1 and analysis

J1 League2nd Stage - 16Kick-off on November 7, 2015 at 05:00 AM (UTC)NOEVIR Stadium Kobe, Kobe

Vissel Kobe
2-1
Matsumoto Yamaga

Full time

What was the result of Vissel Kobe vs Matsumoto Yamaga?

Vissel Kobe won 2-1 on November 7, 2015.

Goalscorers

  • 42′Yoshiro AbeMatsumoto Yamaga
  • 85′R. MoriokaVissel Kobe
  • 90′Pedro Bispo Moreira JúniorVissel Kobe

What is the recent form of both teams?

Over their last 15 matches in all competitions, Vissel Kobe have 6 wins, 0 draws and 9 defeats; Matsumoto Yamaga have 5, 3 and 7.

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

Vissel Kobe
DateOpponentScoreCompetition
Oct 24, 2015Montedio Yamagata(home)3-1J1 League
Oct 17, 2015Yokohama F. Marinos(away)1-2J1 League
Oct 14, 2015JEF United Chiba(home)1-0Emperor Cup
Oct 11, 2015Kashima(away)1-4J-League Cup
Oct 7, 2015Kashima(home)1-2J-League Cup
Matsumoto Yamaga
DateOpponentScoreCompetition
Oct 24, 2015Sagan Tosu(home)1-2J1 League
Oct 17, 2015Albirex Niigata(away)0-2J1 League
Oct 10, 2015Shonan Bellmare(away)3-2Emperor Cup
Oct 3, 2015Shimizu S-pulse(home)1-0J1 League
Sep 26, 2015FC Tokyo(away)0-1J1 League

What does the head-to-head say?

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

DateScoreCompetition
May 16, 2015Matsumoto Yamaga 2-0 Vissel KobeJ1 League
Oct 20, 2013Vissel Kobe 7-0 Matsumoto YamagaJ2 League
Mar 31, 2013Matsumoto Yamaga 1-2 Vissel KobeJ2 League

Last archived meeting: Matsumoto Yamaga vs Vissel Kobe on May 16, 2015

How many goals should we expect?

Vissel Kobe score 1.7 and concede 1.5 goals per match over their last 15; Matsumoto Yamaga score 1.1 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Vissel Kobe1.71.547/159/15
Matsumoto Yamaga1.11.438/157/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
8Vissel Kobe3111334

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: Vissel Kobe and Matsumoto Yamaga

Ready to know everything about football?