Match

BIT vs Sichuan Jiuniu: result 0-1 and analysis

League One2nd Phase - 11Kick-off on September 13, 2021 at 11:35 AM (UTC)Beijing Institute of Technology Eastern Athletic Field, Beijing

BIT
0-1
Sichuan Jiuniu

Full time

What was the result of BIT vs Sichuan Jiuniu?

Sichuan Jiuniu won 0-1 on September 13, 2021.

Goalscorers

  • 5′Zheng ShengxiongSichuan Jiuniu

Official lineup for BIT vs Sichuan Jiuniu

The starting elevens fielded at kick-off.

BIT

  1. 9Huang Yi
  1. 6Wang Jian
  2. 7Tan Xiang
  3. 8Zhengyin Wang
  4. 10Wang Zihao
  5. 20Minwei Zhan
  6. 35Huang Junye
  1. 2Gong Hankui
  2. 15Guo Mengjie
  3. 17Chao Huang
  1. 1Fu Jingyu

Sichuan Jiuniu

  1. 28Xia Dalong
  1. 4Wang Qiao
  2. 10Ruan Jun
  3. 13Wang Qi
  4. 20Zheng Shengxiong
  5. 21Nan Song
  6. 22Xiao Kun
  7. 31Wei Lü
  1. 2Geng Xiaoshun
  2. 32Song Chen
  1. 27Yang Chao
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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; Sichuan Jiuniu have 6, 7 and 2.

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

BIT
DateOpponentScoreCompetition
Sep 8, 2021Kunshan(home)0-0League One
Sep 5, 2021Chengdu Better City(away)0-5League One
Aug 18, 2021Hangzhou Greentown(away)0-0FA Cup
Aug 15, 2021Hangzhou Greentown(away)0-3League One
Aug 10, 2021Nantong Zhiyun(home)0-1League One
Sichuan Jiuniu
DateOpponentScoreCompetition
Sep 9, 2021Chengdu Better City(home)1-1League One
Sep 4, 2021Heilongjiang Lava Spring(away)1-1League One
Aug 20, 2021Nanjing City(home)2-1FA Cup
Aug 16, 2021Wuhan Three Towns(home)0-1League One
Aug 12, 2021Nanjing City(away)1-1League One

How many goals should we expect?

BIT score 0.6 and concede 2.8 goals per match over their last 15; Sichuan Jiuniu score 1.3 and concede 0.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
BIT0.62.835/1511/15
Sichuan Jiuniu1.30.886/155/15

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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