Match

Omiya Ardija vs Tokyo Verdy: result 0-1 and analysis

J2 LeaguePlay-offs - 1st RoundKick-off on November 25, 2018 at 04:00 AM (UTC)NACK5 Stadium, Saitama

Omiya Ardija
0-1
Tokyo Verdy

Full time

What was the result of Omiya Ardija vs Tokyo Verdy?

Tokyo Verdy won 0-1 on November 25, 2018.

Goalscorers

  • 71′T. TairaTokyo Verdy

What is the recent form of both teams?

Over their last 15 matches in all competitions, Omiya Ardija have 9 wins, 3 draws and 3 defeats; Tokyo Verdy have 7, 5 and 3.

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

Omiya Ardija
DateOpponentScoreCompetition
Nov 17, 2018Fagiano Okayama(away)1-0J2 League
Nov 10, 2018Montedio Yamagata(home)2-1J2 League
Nov 4, 2018Kanazawa(away)1-1J2 League
Oct 28, 2018Kyoto Sanga(home)1-2J2 League
Oct 21, 2018Yokohama FC(away)1-1J2 League
Tokyo Verdy
DateOpponentScoreCompetition
Nov 17, 2018Machida Zelvia(away)1-1J2 League
Nov 11, 2018Kamatamare Sanuki(home)1-0J2 League
Nov 4, 2018Matsumoto Yamaga(away)0-1J2 League
Oct 28, 2018Ehime FC(away)2-2J2 League
Oct 21, 2018Tokushima Vortis(home)2-1J2 League

What does the head-to-head say?

Across the last 5 meetings: 3 Omiya Ardija win(s), 0 draw(s), 2 Tokyo Verdy win(s).

DateScoreCompetition
Aug 4, 2018Tokyo Verdy 2-1 Omiya ArdijaJ2 League
Apr 28, 2018Omiya Ardija 2-0 Tokyo VerdyJ2 League
Sep 23, 2015Tokyo Verdy 0-1 Omiya ArdijaJ2 League
Sep 6, 2015Omiya Ardija 3-1 Tokyo VerdyEmperor Cup
Jun 28, 2015Omiya Ardija 0-2 Tokyo VerdyJ2 League

Last archived meeting: Tokyo Verdy vs Omiya Ardija on Aug 4, 2018

How many goals should we expect?

Omiya Ardija score 1.7 and concede 1.1 goals per match over their last 15; Tokyo Verdy score 1.1 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Omiya Ardija1.71.159/157/15
Tokyo Verdy1.10.957/155/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
1Omiya Ardija3300839
4Omiya Ardija18927382830

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

Next match: Omiya Ardija and Tokyo Verdy

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