Match

Osaka vs Sagamihara: result 1-0 and analysis

J3 LeagueRegular Season - 17Kick-off on July 9, 2023 at 09:00 AM (UTC)Hanazono Rugby Stadium, Higashiosaka

Osaka
1-0
Sagamihara

Full time

What was the result of Osaka vs Sagamihara?

Osaka won 1-0 on July 9, 2023.

Goalscorers

  • 31′Woo Sang-HoOsaka

Official lineup for Osaka vs Sagamihara

The starting elevens fielded at kick-off.

Osaka

  1. 14N. Tanaka
  2. 28D. Furukawa
  3. 32T. Shimada
  1. 25K. Nishiya
  2. 33Woo Sang-Ho
  1. 2K. Mima
  2. 3R. Saito
  3. 6S. Tachino
  4. 20M. Shibuya
  5. 26T. Itakura
  1. 1T. Nagai

Sagamihara

  1. 9T. Fujinuma
  1. 13R. Yoshitake
  2. 22K. Saso
  3. 27T. Nishiyama
  1. 3Y. Minakuchi
  2. 4R. Yamashita
  3. 5K. Watahiki
  4. 8R. Hashimoto
  5. 11C. Duke
  6. 26I. Kuribara
  1. 31T. Koga
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Osaka have 7 wins, 2 draws and 6 defeats; Sagamihara have 1, 7 and 7.

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

Osaka
DateOpponentScoreCompetition
Jul 1, 2023Gainare Tottori(away)2-2J3 League
Jun 24, 2023YSCC(away)0-0J3 League
Jun 18, 2023FC Ryukyu(home)3-0J3 League
Jun 11, 2023Fukushima United(away)1-0J3 League
Jun 4, 2023Parceiro Nagano(home)1-0J3 League
Sagamihara
DateOpponentScoreCompetition
Jul 1, 2023Vanraure Hachinohe(home)0-1J3 League
Jun 24, 2023Ehime FC(away)1-2J3 League
Jun 18, 2023FC Gifu(away)1-2J3 League
Jun 11, 2023Tegevajaro Miyazaki(home)1-1J3 League
Jun 7, 2023Consadole Sapporo(away)0-3Emperor Cup

How many goals should we expect?

Osaka score 0.9 and concede 0.8 goals per match over their last 15; Sagamihara score 0.9 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Osaka0.90.873/155/15
Sagamihara0.91.5210/157/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Osaka sit 6th in J3 League (17 points from 10 matches) and Sagamihara sit 5th (18 points from 10 matches).

2026-27 standings
#ClubPWDLGFGAPts
5Sagamihara10532181218
6Osaka1045118917

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Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

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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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