Match

Gamba Osaka vs Jubilo Iwata: result 1-2 and analysis

J1 LeagueRegular Season - 3Kick-off on March 25, 2012 at 10:00 AM (UTC)Saitama Stadium 2002, Saitama

Gamba Osaka
1-2
Jubilo Iwata

Full time

What was the result of Gamba Osaka vs Jubilo Iwata?

Jubilo Iwata won 1-2 on March 25, 2012.

Goalscorers

  • 23′K. YamamotoJubilo Iwata
  • 60′Ryoichi MaedaJubilo Iwata (pen.)
  • 85′S. KurataGamba Osaka

Official lineup for Gamba Osaka vs Jubilo Iwata

The starting elevens fielded at kick-off.

Gamba Osaka

  1. 9Rafinha
  2. 37Lee Seung-Ryul
  1. 7Y. Endō
  2. 10T. Futagawa
  3. 11Paulinho
  4. 23Takuya Takei
  1. 2Sota Nakazawa
  2. 4H. Fujiharu
  3. 15Y. Konno
  4. 21Akira Kaji
  1. 1Yosuke Fujigaya

Jubilo Iwata

  1. 18Ryoichi Maeda
  1. 7Yuki Kobayashi
  2. 10H. Yamada
  3. 11T. Matsuura
  4. 15Minoru Suganuma
  5. 23K. Yamamoto
  1. 5Yūichi Komano
  2. 16Jo Kanazawa
  3. 24Cho Byung-Kuk
  4. 33Yoshiaki Fujita
  1. 21N. Hatta
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What is the recent form of both teams?

Over their last 2 matches in all competitions, Gamba Osaka have 0 wins, 0 draws and 2 defeats; Jubilo Iwata have 2, 1 and 0.

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

Gamba Osaka
DateOpponentScoreCompetition
Mar 17, 2012Cerezo Osaka(away)1-2J1 League
Mar 10, 2012Vissel Kobe(home)2-3J1 League
Jubilo Iwata
DateOpponentScoreCompetition
Mar 20, 2012Cerezo Osaka(home)2-1J-League Cup
Mar 17, 2012Sagan Tosu(home)2-1J1 League
Mar 10, 2012Consadole Sapporo(away)0-0J1 League

How many goals should we expect?

Gamba Osaka score 1.5 and concede 2.5 goals per match over their last 2; Jubilo Iwata score 1.3 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Gamba Osaka1.52.502/22/2
Jubilo Iwata1.30.712/32/3

Over the last 2 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
18Gamba Osaka91358166

A question about Gamba Osaka vs Jubilo Iwata?

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

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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