Match

Taizhou Yuanda vs Beijing Renhe: result 1-0 and analysis

League OneRegular Season - 5Kick-off on September 26, 2020 at 07:30 AM (UTC)Dujiangyan Phoenix Stadium, Dujiangyan

Taizhou Yuanda
1-0
Beijing Renhe

Full time

What was the result of Taizhou Yuanda vs Beijing Renhe?

Taizhou Yuanda won 1-0 on September 26, 2020.

Goalscorers

  • 55′Xu JiajunTaizhou Yuanda

Official lineup for Taizhou Yuanda vs Beijing Renhe

The starting elevens fielded at kick-off.

Taizhou Yuanda

  1. 9Cheng Yuan
  2. 10Ge Wei
  1. 4Zhang Xinlin
  2. 5Marko Basic
  3. 7Z. Tošić
  4. 8Liu Jianye
  5. 11Xu Jiajun
  6. 22Tao Hongliang
  1. 15Pengfei Sheng
  2. 32Zhang Tianlong
  1. 33Fang Jingqi

Beijing Renhe

  1. 10Cao Yongjing
  2. 27Tiago
  3. 29Nizamdin Ependi
  1. 8Zhang Yufeng
  2. 9Wenhe Yu
  3. 11Zhang Wenzhao
  1. 3Liu Boyang
  2. 5Houliang Wan
  3. 7Jin Hui
  4. 23Luo Andong
  1. 12Lie Zhang
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What is the recent form of both teams?

Over their last 9 matches in all competitions, Taizhou Yuanda have 6 wins, 1 draw and 2 defeats; Beijing Renhe have 2, 3 and 10.

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

Taizhou Yuanda
DateOpponentScoreCompetition
Sep 23, 2020Beijing Baxy(away)2-0League One
Sep 20, 2020Chengdu Better City(home)1-2League One
Sep 17, 2020Nei Mongol Zhongyou(away)1-1League One
Sep 13, 2020Suzhou Dongwu(home)1-0League One
May 28, 2019Tianjin Songjiang(away)0-1FA Cup
Beijing Renhe
DateOpponentScoreCompetition
Sep 23, 2020Nei Mongol Zhongyou(home)1-2League One
Sep 19, 2020Beijing Baxy(away)1-0League One
Sep 16, 2020Suzhou Dongwu(home)1-0League One
Sep 12, 2020Chengdu Better City(away)2-3League One
Jul 17, 2020Shandong Luneng(away)1-4Friendlies Clubs

How many goals should we expect?

Taizhou Yuanda score 1.8 and concede 0.4 goals per match over their last 9; Beijing Renhe score 1.1 and concede 2.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Taizhou Yuanda1.80.462/93/9
Beijing Renhe1.12.1211/159/15

Over the last 9 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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