Match

Fagiano Okayama vs Sagamihara: result 0-0 and analysis

J2 LeagueRegular Season - 3Kick-off on March 14, 2021 at 05:00 AM (UTC)City Light Stadium, Okayama

Fagiano Okayama
0-0
Sagamihara

Full time

What was the result of Fagiano Okayama vs Sagamihara?

Fagiano Okayama and Sagamihara drew 0-0 on March 14, 2021.

Official lineup for Fagiano Okayama vs Sagamihara

The starting elevens fielded at kick-off.

Fagiano Okayama

  1. 6K. Kiyama
  2. 16R. Kawano
  3. 18Kazuki Saito
  4. 20R. Kawamoto
  1. 7E. Shirai
  2. 14S. Uejo
  3. 17Kenji Sekido
  1. 4M. Hamada
  2. 5R. Inoue
  3. 41S. Tokumoto
  1. 13J. Kanayama

Sagamihara

  1. 10Rômulo
  2. 23S. Hiramatsu
  1. 4Jungo Fujimoto
  2. 7Shohei Kiyohara
  3. 15R. Kawakami
  1. 5Daiki Umei
  2. 13R. Ishida
  3. 19K. Funaki
  4. 24Jiro Kamata
  5. 30Yasumasa Kawasaki
  1. 16M. Miura
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Fagiano Okayama have 4 wins, 4 draws and 7 defeats; Sagamihara have 5, 9 and 1.

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

Fagiano Okayama
DateOpponentScoreCompetition
Mar 7, 2021Kanazawa(home)0-1J2 League
Feb 28, 2021Tochigi SC(away)2-0J2 League
Dec 20, 2020Ventforet Kofu(away)2-0J2 League
Dec 16, 2020Thespakusatsu Gunma(away)0-2J2 League
Dec 13, 2020Montedio Yamagata(away)0-2J2 League
Sagamihara
DateOpponentScoreCompetition
Mar 7, 2021Thespakusatsu Gunma(home)0-0J2 League
Feb 28, 2021Kyoto Sanga(home)0-2J2 League
Dec 20, 2020Imabari(away)2-1J3 League
Dec 13, 2020Blaublitz Akita(home)1-1J3 League
Dec 9, 2020Azul Claro Numazu(home)1-0J3 League

How many goals should we expect?

Fagiano Okayama score 1.0 and concede 1.5 goals per match over their last 15; Sagamihara score 1.0 and concede 0.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Fagiano Okayama1.01.537/154/15
Sagamihara1.00.868/153/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
5Sagamihara18756313328

A question about Fagiano Okayama vs Sagamihara?

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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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