Match

BIT vs Zibo Cuju: result 0-2 and analysis

League One2nd Phase - 17Kick-off on November 20, 2021 at 12:00 AM (UTC)Shuangliu Sports Centre, Chengdu

BIT
0-2
Zibo Cuju

Full time

What was the result of BIT vs Zibo Cuju?

Zibo Cuju won 0-2 on November 20, 2021.

Goalscorers

  • 69′Liu ZimingZibo Cuju
  • 74′Nan YunqiZibo Cuju

Official lineup for BIT vs Zibo Cuju

The starting elevens fielded at kick-off.

BIT

  1. 9Huang Yi
  1. 6Wang Jian
  2. 7Tan Xiang
  3. 8Zhengyin Wang
  4. 20Minwei Zhan
  5. 35Huang Junye
  1. 2Gong Hankui
  2. 13Wei Xin
  3. 15Guo Mengjie
  4. 17Chao Huang
  1. 1Fu Jingyu

Zibo Cuju

  1. 9Nan Yunqi
  2. 26Mai Sijing
  1. 8Chen Zitong
  2. 23Wang Chengkuai
  3. 28Yingjian Li
  4. 34Lü Pin
  1. 5Ötkür Hesen
  2. 25Li Chenguang
  3. 35Sun Xiaobin
  4. 36Xu Yougang
  1. 12Junjie Gu
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What is the recent form of both teams?

Over their last 15 matches in all competitions, BIT have 1 win, 3 draws and 11 defeats; Zibo Cuju have 4, 3 and 8.

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

BIT
DateOpponentScoreCompetition
Oct 4, 2021Shaanxi Changan Athletic(home)1-1League One
Sep 30, 2021Sichuan Jiuniu(away)0-1League One
Sep 25, 2021Kunshan(away)0-4League One
Sep 21, 2021Chengdu Better City(home)0-2League One
Sep 17, 2021Shaanxi Changan Athletic(away)0-2League One
Zibo Cuju
DateOpponentScoreCompetition
Oct 14, 2021Shijiazhuang Y. J.(away)1-5FA Cup
Oct 5, 2021Wuhan Three Towns(home)0-3League One
Sep 30, 2021Guizhou Zhicheng(away)2-1League One
Sep 25, 2021Nantong Zhiyun(away)2-4League One
Sep 22, 2021Beijing Baxy(home)2-1League One

How many goals should we expect?

BIT score 0.2 and concede 2.3 goals per match over their last 15; Zibo Cuju score 1.0 and concede 2.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
BIT0.22.332/156/15
Zibo Cuju1.02.138/1510/15

Over the last 15 matches in all competitions.

A question about BIT vs Zibo Cuju?

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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