Match

Iwaki vs Sagamihara: result 1-0 and analysis

J3 LeagueRegular Season - 2Kick-off on March 20, 2022 at 04:00 AM (UTC)Hawaiians Stadium Iwaki, Iwaki

Iwaki
1-0
Sagamihara

Full time

What was the result of Iwaki vs Sagamihara?

Iwaki won 1-0 on March 20, 2022.

Goalscorers

  • 75′S. SuzukiIwaki

Official lineup for Iwaki vs Sagamihara

The starting elevens fielded at kick-off.

Iwaki

  1. 9S. Suzuki
  2. 10K. Arima
  3. 19H. Iwabuchi
  4. 34D. Furukawa
  1. 6E. Miyamoto
  2. 24Y. Yamashita
  1. 2R. Saga
  2. 4K. Hoshi
  3. 8M. Hidaka
  4. 15R. Ieizumi
  1. 31S. Shikano

Sagamihara

  1. 7Takayuki Funayama
  2. 9K. Ukita
  3. 27Daisuke Watabe
  1. 8K. Nakashima
  2. 10Jungo Fujimoto
  3. 19Y. Matsuhashi
  4. 30Shogo Nakahara
  1. 4Hiroki Mizumoto
  2. 13R. Ishida
  3. 20Y. Fujiwara
  1. 31K. Kakoi
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Iwaki have 9 wins, 4 draws and 2 defeats; Sagamihara have 4, 5 and 6.

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

Iwaki
DateOpponentScoreCompetition
Mar 13, 2022Kagoshima United(away)1-1J3 League
Dec 5, 2021Osaka(home)3-0Japan Football League
Nov 27, 2021Suzuka Unlimited(away)4-1Japan Football League
Nov 20, 2021Nara Club(away)2-2Japan Football League
Nov 14, 2021TIAMO Hirakata(home)1-0Japan Football League
Sagamihara
DateOpponentScoreCompetition
Mar 12, 2022Azul Claro Numazu(home)1-0J3 League
Dec 5, 2021Tokyo Verdy(away)0-3J2 League
Nov 28, 2021Matsumoto Yamaga(home)1-1J2 League
Nov 21, 2021Ehime FC(away)2-1J2 League
Nov 14, 2021Fagiano Okayama(home)2-3J2 League

How many goals should we expect?

Iwaki score 2.1 and concede 0.9 goals per match over their last 15; Sagamihara score 1.1 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Iwaki2.10.977/159/15
Sagamihara1.11.338/156/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
5Sagamihara10532181218

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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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