Match

Kataller Toyama vs Imabari: result 2-3 and analysis

J3 LeagueRegular Season - 31Kick-off on October 30, 2022 at 04:00 AM (UTC)Toyama Athletic Recreation Park Stadium, Toyama

Kataller Toyama
2-3
Imabari

Full time

What was the result of Kataller Toyama vs Imabari?

Imabari won 2-3 on October 30, 2022.

Goalscorers

  • 17′Marcus ÍndioImabari
  • 34′J. ImaseKataller Toyama
  • 42′T. YoshihiraKataller Toyama (pen.)
  • 45′T. KondoImabari
  • 76′K. NakagawaImabari

What is the recent form of both teams?

Over their last 15 matches in all competitions, Kataller Toyama have 8 wins, 1 draws and 6 defeats; Imabari have 9, 2 and 4.

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

Kataller Toyama
DateOpponentScoreCompetition
Oct 23, 2022Vanraure Hachinohe(away)1-2J3 League
Oct 16, 2022Fujieda MYFC(home)1-4J3 League
Oct 9, 2022FC Gifu(away)3-1J3 League
Oct 2, 2022Sagamihara(home)1-0J3 League
Sep 25, 2022Kamatamare Sanuki(away)4-0J3 League
Imabari
DateOpponentScoreCompetition
Oct 23, 2022Matsumoto Yamaga(home)1-2J3 League
Oct 15, 2022YSCC(away)1-2J3 League
Oct 8, 2022Sagamihara(away)2-0J3 League
Oct 2, 2022Gainare Tottori(home)3-0J3 League
Sep 25, 2022Tegevajaro Miyazaki(away)3-2J3 League

What does the head-to-head say?

Across the last 5 meetings: 1 Kataller Toyama win(s), 1 draw(s), 3 Imabari win(s).

DateScoreCompetition
Mar 20, 2022Imabari 2-1 Kataller ToyamaJ3 League
Oct 24, 2021Imabari 4-2 Kataller ToyamaJ3 League
Jun 26, 2021Kataller Toyama 1-1 ImabariJ3 League
Dec 13, 2020Kataller Toyama 1-3 ImabariJ3 League
Aug 23, 2020Imabari 0-3 Kataller ToyamaJ3 League

Last archived meeting: Imabari vs Kataller Toyama on Mar 20, 2022

How many goals should we expect?

Kataller Toyama score 1.5 and concede 1.3 goals per match over their last 15; Imabari score 2.0 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Kataller Toyama1.51.329/1510/15
Imabari2.01.3510/159/15

Over the last 15 matches in all competitions.

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

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Next match: Kataller Toyama and Imabari

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