Match

Sagamihara vs Kyoto Sanga: result 0-2 and analysis

J2 LeagueRegular Season - 1Kick-off on February 28, 2021 at 04:00 AM (UTC)Sagamihara Gion Stadium, Sagamihara

Sagamihara
0-2
Kyoto Sanga

Full time

What was the result of Sagamihara vs Kyoto Sanga?

Kyoto Sanga won 0-2 on February 28, 2021.

Goalscorers

  • 82′J. BuijsKyoto Sanga
  • 85′N. MisawaKyoto Sanga

Official lineup for Sagamihara vs Kyoto Sanga

The starting elevens fielded at kick-off.

Sagamihara

  1. 23S. Hiramatsu
  1. 4Jungo Fujimoto
  2. 7Shohei Kiyohara
  3. 15R. Kawakami
  4. 17K. Hoshi
  5. 27M. Wada
  6. 33T. Umebachi
  1. 5Daiki Umei
  2. 13R. Ishida
  3. 29Keita Goto
  1. 21A. Takeshige

Kyoto Sanga

  1. 13T. Miyayoshi
  2. 20T. Lee
  1. 4T. Matsuda
  2. 17T. Ogiwara
  3. 23J. Buijs
  4. 24S. Kawasaki
  5. 31S. Fukuoka
  6. 41K. Shirai
  1. 2T. Iida
  2. 6Y. Honda
  1. 34T. Wakahara
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Sagamihara have 7 wins, 8 draws and 0 defeats; Kyoto Sanga have 6, 3 and 6.

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

Sagamihara
DateOpponentScoreCompetition
Dec 20, 2020Imabari(away)2-1J3 League
Dec 13, 2020Blaublitz Akita(home)1-1J3 League
Dec 9, 2020Azul Claro Numazu(home)1-0J3 League
Dec 6, 2020Vanraure Hachinohe(away)1-1J3 League
Nov 28, 2020Gainare Tottori(home)3-2J3 League
Kyoto Sanga
DateOpponentScoreCompetition
Dec 20, 2020Thespakusatsu Gunma(home)0-1J2 League
Dec 16, 2020Kanazawa(home)1-1J2 League
Dec 13, 2020Avispa Fukuoka(away)0-2J2 League
Dec 6, 2020Ehime FC(away)1-0J2 League
Dec 2, 2020V-varen Nagasaki(home)2-1J2 League

How many goals should we expect?

Sagamihara score 1.3 and concede 0.7 goals per match over their last 15; Kyoto Sanga score 1.1 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sagamihara1.30.778/154/15
Kyoto Sanga1.10.957/156/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
5Sagamihara18756313328

A question about Sagamihara vs Kyoto Sanga?

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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