Match

Sichuan Jiuniu vs Kunshan: result 0-2 and analysis

League OneRegular Season - 1Kick-off on September 13, 2020 at 11:00 AM (UTC)Wuhua Hengpi Football Town, Dongguan

Sichuan Jiuniu
0-2
Kunshan

Full time

What was the result of Sichuan Jiuniu vs Kunshan?

Kunshan won 0-2 on September 13, 2020.

Goalscorers

  • 25′T. AdenijiKunshan
  • 59′Wang JiajieKunshan (pen.)

Official lineup for Sichuan Jiuniu vs Kunshan

The starting elevens fielded at kick-off.

Sichuan Jiuniu

  1. 23Zhou Minghao
  1. 6Li Haojie
  2. 10Ruan Jun
  3. 14J. Iloki
  4. 17Li Jiahe
  5. 22Xiao Kun
  6. 29Zhang Jiaqi
  7. 33Wang Song
  1. 3Xufei Xing
  2. 40N. Vidić
  1. 27Yang Chao

Kunshan

  1. 8Wu Yufan
  2. 10Ruan Yang
  3. 25T. Adeniji
  1. 5Peng Cui
  2. 20Zhang Yudong
  3. 29Zhang Tianhan
  1. 3Cao Haiqing
  2. 6Sun Guoliang
  3. 18Wang Jiajie
  4. 28Bruno Pirri
  1. 13Peng Peng
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What is the recent form of both teams?

Over their last 4 matches in all competitions, Sichuan Jiuniu have 3 wins, 1 draw and 0 defeats; Kunshan have 0, 0 and 1.

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

Sichuan Jiuniu
DateOpponentScoreCompetition
May 1, 2019Changchun Yatai(away)0-0FA Cup
Apr 17, 2019Hubei Wuhan Athletics(home)1-0FA Cup
Mar 30, 2019Dalian Chanjoy(home)2-0FA Cup
Mar 10, 2019Jiangsu Yancheng Dingli(home)5-0FA Cup
Kunshan
DateOpponentScoreCompetition
Mar 30, 2019Jilin Baijia(away)0-3FA Cup

How many goals should we expect?

Sichuan Jiuniu score 2.0 and concede 0.0 goals per match over their last 4; Kunshan score 0.0 and concede 3.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sichuan Jiuniu2.00.040/41/4
Kunshan0.03.000/11/1

Over the last 4 matches in all competitions.

A question about Sichuan Jiuniu vs Kunshan?

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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