Match

Kawasaki Frontale vs Sydney: result 1-0 and analysis

AFC Champions League EliteGroup Stage - 2Kick-off on March 13, 2019 at 10:00 AM (UTC)Uvance Todoroki Stadium by Fujitsu, Kawasaki

Kawasaki Frontale
1-0
Sydney

Full time

What was the result of Kawasaki Frontale vs Sydney?

Kawasaki Frontale won 1-0 on March 13, 2019.

Goalscorers

  • 83′M. SaitōKawasaki Frontale

Official lineup for Kawasaki Frontale vs Sydney

The starting elevens fielded at kick-off.

Kawasaki Frontale

4-4-2
  1. 9Leandro Damião
  2. 11Y. Kobayashi
  1. 16T. Hasegawa
  2. 14K. Nakamura
  3. 25A. Tanaka
  4. 41A. Ienaga
  1. 2K. Noborizato
  2. 5S. Taniguchi
  3. 3T. Nara
  4. 6H. Morita
  1. 1Jung Sung-Ryong

Sydney

4-4-2
  1. 9A. Le Fondre
  2. 14A. Brosque
  1. 10M. Ninković
  2. 13B. O'Neill
  3. 8P. Retre
  4. 17A. Cáceres
  1. 7M. Zullo
  2. 3B. Warland
  3. 4A. Wilkinson
  4. 23R. Grant
  1. 1A. Redmayne
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Kawasaki Frontale have 7 wins, 5 draws and 3 defeats; Sydney have 10, 2 and 3.

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

Kawasaki Frontale
DateOpponentScoreCompetition
Mar 10, 2019Yokohama F. Marinos(away)2-2J1 League
Mar 6, 2019SHANGHAI SIPG(away)0-1AFC Champions League Elite
Mar 1, 2019Kashima(home)1-1J1 League
Feb 23, 2019FC Tokyo(home)0-0J1 League
Dec 1, 2018Jubilo Iwata(home)2-1J1 League
Sydney
DateOpponentScoreCompetition
Mar 6, 2019Ulsan Hyundai FC(home)0-0AFC Champions League Elite
Mar 1, 2019Adelaide United(home)2-0A-League
Feb 23, 2019Wellington Phoenix(away)1-0A-League
Feb 17, 2019Central Coast Mariners(home)1-1A-League
Feb 8, 2019Brisbane Roar(away)1-2A-League

How many goals should we expect?

Kawasaki Frontale score 2.0 and concede 1.0 goals per match over their last 15; Sydney score 1.7 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Kawasaki Frontale2.01.068/159/15
Sydney1.70.969/158/15

Over the last 15 matches in all competitions.

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

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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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