Match

BIT vs Shaanxi Changan Athletic: result 0-4 and analysis

League OneRegular Season - 8Kick-off on July 9, 2022 at 07:30 AM (UTC)Beijing Institute of Technology Eastern Athletic Field, Beijing

BIT
0-4
Shaanxi Changan Athletic

Full time

What was the result of BIT vs Shaanxi Changan Athletic?

Shaanxi Changan Athletic won 0-4 on July 9, 2022.

Goalscorers

  • 13′Liu ChaoyangShaanxi Changan Athletic
  • 15′Wang Jian-mingShaanxi Changan Athletic
  • 23′Pang ZhiquanShaanxi Changan Athletic
  • 83′Xu WuShaanxi Changan Athletic

What is the recent form of both teams?

Over their last 15 matches in all competitions, BIT have 1 wins, 4 draws and 10 defeats; Shaanxi Changan Athletic have 8, 6 and 1.

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

BIT
DateOpponentScoreCompetition
Jul 5, 2022Nanjing City(away)1-3League One
Jul 1, 2022Jiangxi Liansheng(away)1-3League One
Jun 27, 2022Kunshan(home)0-3League One
Jun 22, 2022Shaanxi Changan Athletic(away)2-3League One
Jun 18, 2022Nanjing City(home)0-2League One
Shaanxi Changan Athletic
DateOpponentScoreCompetition
Jul 5, 2022Kunshan(away)1-1League One
Jun 30, 2022Qingdao Jonoon(home)1-2League One
Jun 27, 2022Jiangxi Liansheng(home)1-1League One
Jun 22, 2022BIT(home)3-2League One
Jun 17, 2022Jiangxi Liansheng(away)3-1League One

What does the head-to-head say?

Across the last 3 meetings: 0 BIT win(s), 1 draw(s), 2 Shaanxi Changan Athletic win(s).

DateScoreCompetition
Jun 22, 2022Shaanxi Changan Athletic 3-2 BITLeague One
Oct 4, 2021BIT 1-1 Shaanxi Changan AthleticLeague One
Sep 17, 2021Shaanxi Changan Athletic 2-0 BITLeague One

Last archived meeting: Shaanxi Changan Athletic vs BIT on Jun 22, 2022

How many goals should we expect?

BIT score 0.9 and concede 2.3 goals per match over their last 15; Shaanxi Changan Athletic score 1.7 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
BIT0.92.318/1512/15
Shaanxi Changan Athletic1.70.769/156/15

Over the last 15 matches in all competitions.

How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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