Match

Tokyo Verdy vs Vissel Kobe: result 2-1 and analysis

J2 LeagueRegular Season - 14Kick-off on May 12, 2013 at 06:00 AM (UTC)National Olympic Stadium, Tokyo

Tokyo Verdy
2-1
Vissel Kobe

Full time

What was the result of Tokyo Verdy vs Vissel Kobe?

Tokyo Verdy won 2-1 on May 12, 2013.

Goalscorers

  • 18′N. TakaharaTokyo Verdy (pen.)
  • 49′Adilson Ferreira De SouzaVissel Kobe (pen.)
  • 90′N. TakaharaTokyo Verdy

Official lineup for Tokyo Verdy vs Vissel Kobe

The starting elevens fielded at kick-off.

Tokyo Verdy

  1. 16K. Iio
  2. 44N. Takahara
  1. 5Kim Jong-Pil
  2. 7S. Nakajima
  3. 11Norihiro Nishi
  4. 14J. Suzuki
  5. 19Yusuke Mori
  1. 2N. Ishigami
  2. 6Ryoji Fukui
  3. 26A. Ibayashi
  1. 1Y. Sato

Vissel Kobe

  1. 7Adilson Ferreira De Souza
  2. 8Anderson Soares da Silva
  3. 11Yuzo Tashiro
  4. 13Keijiro Ogawa
  5. 25R. Okui
  1. 6J. Vélez
  2. 18H. Tanaka
  1. 5Hiroyuki Komoto
  2. 15Tsubasa Oya
  3. 19T. Iwanami
  1. 22K. Yamamoto
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Tokyo Verdy have 5 wins, 6 draws and 4 defeats; Vissel Kobe have 9, 3 and 3.

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

Tokyo Verdy
DateOpponentScoreCompetition
May 6, 2013Thespakusatsu Gunma(away)1-0J2 League
May 3, 2013Yokohama FC(home)1-3J2 League
Apr 28, 2013Kataller Toyama(away)1-1J2 League
Apr 17, 2013Montedio Yamagata(home)2-0J2 League
Apr 14, 2013Gainare Tottori(home)3-0J2 League
Vissel Kobe
DateOpponentScoreCompetition
May 6, 2013Gamba Osaka(home)2-0J2 League
May 3, 2013Avispa Fukuoka(away)0-0J2 League
Apr 28, 2013Fagiano Okayama(home)3-3J2 League
Apr 21, 2013Yokohama FC(away)2-1J2 League
Apr 17, 2013Kitakyushu(home)2-1J2 League

How many goals should we expect?

Tokyo Verdy score 1.1 and concede 0.7 goals per match over their last 15; Vissel Kobe score 1.5 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Tokyo Verdy1.10.776/154/15
Vissel Kobe1.50.976/157/15

Over the last 15 matches in all competitions.

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Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

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Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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