Match

Osaka vs Kataller Toyama: result 0-1 and analysis

J3 LeagueRegular Season - 5Kick-off on April 1, 2023 at 05:00 AM (UTC)Hanazono Rugby Stadium, Higashiosaka

Osaka
0-1
Kataller Toyama

Full time

What was the result of Osaka vs Kataller Toyama?

Kataller Toyama won 0-1 on April 1, 2023.

Goalscorers

  • 68′Arthur SilvaKataller Toyama

Official lineup for Osaka vs Kataller Toyama

The starting elevens fielded at kick-off.

Osaka

  1. 11R. Kubo
  2. 14N. Tanaka
  3. 28D. Furukawa
  4. 32T. Shimada
  1. 17R. Machida
  2. 25K. Nishiya
  1. 2K. Mima
  2. 3R. Saito
  3. 6S. Tachino
  4. 39K. Matsuda
  1. 1T. Nagai

Kataller Toyama

  1. 27T. Yoshihira
  2. 39S. Takahashi
  1. 8D. Matsuoka
  2. 16H. Sueki
  3. 17H. Tsubokawa
  4. 20M. Oyama
  5. 30Arthur Silva
  1. 3R. Ohata
  2. 14R. Shimodo
  3. 25S. Yasumitsu
  1. 21T. Tagawa
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Osaka have 8 wins, 2 draws and 5 defeats; Kataller Toyama have 8, 1 and 6.

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

Osaka
DateOpponentScoreCompetition
Mar 26, 2023Ehime FC(away)1-2J3 League
Mar 18, 2023Grulla Morioka(home)0-3J3 League
Mar 12, 2023Tegevajaro Miyazaki(away)1-0J3 League
Mar 4, 2023Kagoshima United(away)1-2J3 League
Nov 20, 2022Biwako Shiga(home)1-1Japan Football League
Kataller Toyama
DateOpponentScoreCompetition
Mar 26, 2023Parceiro Nagano(home)3-3J3 League
Mar 19, 2023Kitakyushu(home)3-2J3 League
Mar 12, 2023Azul Claro Numazu(away)1-2J3 League
Mar 5, 2023YSCC(away)2-1J3 League
Nov 20, 2022Kagoshima United(home)2-4J3 League

How many goals should we expect?

Osaka score 1.3 and concede 1.4 goals per match over their last 15; Kataller Toyama score 2.1 and concede 1.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Osaka1.31.448/159/15
Kataller Toyama2.11.9212/1513/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
7Osaka11452191217

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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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