Match

FC Tokyo vs Jiangsu Suning: result 0-0 and analysis

AFC Champions League EliteGroup Stage - 3Kick-off on March 15, 2016 at 10:30 AM (UTC)Ajinomoto Stadium, Chōfu

FC Tokyo
0-0
Jiangsu Suning

Full time

What was the result of FC Tokyo vs Jiangsu Suning?

FC Tokyo and Jiangsu Suning drew 0-0 on March 15, 2016.

Official lineup for FC Tokyo vs Jiangsu Suning

The starting elevens fielded at kick-off.

FC Tokyo

  1. 16N. Burns
  2. 20Ryoichi Maeda
  1. 4H. Takahashi
  2. 22Naotake Hanyu
  3. 37K. Hashimoto
  4. 48K. Mizunuma
  1. 2Yuhei Tokunaga
  2. 3M. Morishige
  3. 5Y. Maruyama
  4. 25R. Ogawa
  1. 47Y. Akimoto

Jiangsu Suning

  1. 9Jô
  2. 10Alex Teixeira
  1. 12Zhang Xiaobin
  2. 20Zhang Xinlin
  3. 22Wu Xi
  1. 2Li Ang
  2. 5Zhou Yun
  3. 6T. Sainsbury
  4. 23Ren Hang
  5. 24Ji Xiang
  1. 30Sipeng Zhang
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What is the recent form of both teams?

Over their last 15 matches in all competitions, FC Tokyo have 8 wins, 1 draw and 6 defeats; Jiangsu Suning have 3, 1 and 0.

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

FC Tokyo
DateOpponentScoreCompetition
Mar 11, 2016Vissel Kobe(home)1-0J1 League
Mar 6, 2016Vegalta Sendai(away)2-1J1 League
Mar 1, 2016Binh Duong(home)3-1AFC Champions League Elite
Feb 27, 2016Omiya Ardija(home)0-1J1 League
Feb 23, 2016Jeonbuk Motors(away)1-2AFC Champions League Elite
Jiangsu Suning
DateOpponentScoreCompetition
Mar 11, 2016Yanbian Tigers FC(home)2-1Super League
Mar 5, 2016Shandong Luneng(home)3-0Super League
Mar 1, 2016Jeonbuk Motors(home)3-2AFC Champions League Elite
Feb 23, 2016Binh Duong(away)1-1AFC Champions League Elite

How many goals should we expect?

FC Tokyo score 1.7 and concede 0.9 goals per match over their last 15; Jiangsu Suning score 2.3 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
FC Tokyo1.70.976/157/15
Jiangsu Suning2.31.013/43/4

Over the last 15 matches in all competitions.

A question about FC Tokyo vs Jiangsu Suning?

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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