Match

Iwaki vs Fujieda MYFC: result 2-2 and analysis

J3 LeagueRegular Season - 9Kick-off on May 15, 2022 at 04:00 AM (UTC)Hawaiians Stadium Iwaki, Iwaki

Iwaki
2-2
Fujieda MYFC

Full time

What was the result of Iwaki vs Fujieda MYFC?

Iwaki and Fujieda MYFC drew 2-2 on May 15, 2022.

Goalscorers

  • 20′D. FurukawaIwaki
  • 59′K. ArimaIwaki (pen.)
  • 66′H. IwabuchiFujieda MYFC (o.g.)
  • 72′Yuki OshitaniFujieda MYFC

Official lineup for Iwaki vs Fujieda MYFC

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

Fujieda MYFC

  1. 10Yuki Oshitani
  1. 7J. Suzuki
  2. 11T. Doi
  3. 18T. Mizuno
  4. 24T. Kubo
  5. 26A. Yokoyama
  6. 33S. Kawakami
  1. 2N. Kawashima
  2. 6K. Ogasawara
  3. 16K. Kamiya
  1. 35K. Uchiyama
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Iwaki have 11 wins, 3 draws and 1 defeat; Fujieda MYFC have 5, 4 and 6.

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

Iwaki
DateOpponentScoreCompetition
May 4, 2022Fukushima United(away)1-0J3 League
Apr 29, 2022Vanraure Hachinohe(home)3-1J3 League
Apr 17, 2022Imabari(home)0-1J3 League
Apr 10, 2022Parceiro Nagano(away)4-0J3 League
Apr 3, 2022Kataller Toyama(home)1-1J3 League
Fujieda MYFC
DateOpponentScoreCompetition
May 4, 2022FC Gifu(home)4-3J3 League
Apr 29, 2022Kitakyushu(away)1-0J3 League
Apr 17, 2022Kataller Toyama(home)0-2J3 League
Apr 10, 2022Kagoshima United(away)0-2J3 League
Apr 2, 2022Kamatamare Sanuki(home)1-0J3 League

How many goals should we expect?

Iwaki score 2.3 and concede 0.7 goals per match over their last 15; Fujieda MYFC score 1.2 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Iwaki2.30.759/159/15
Fujieda MYFC1.21.355/155/15

Over the last 15 matches in all competitions.

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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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