Match

Shenzhen Ruby FC vs Xinjiang Tianshan: result 0-0 and analysis

League OneRegular Season - 3Kick-off on March 30, 2018 at 11:30 AM (UTC)Shenzhen Universiade Sports Centre, Shenzhen

Shenzhen Ruby FC
0-0
Xinjiang Tianshan

Full time

What was the result of Shenzhen Ruby FC vs Xinjiang Tianshan?

Shenzhen Ruby FC and Xinjiang Tianshan drew 0-0 on March 30, 2018.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Shenzhen Ruby FC have 6 wins, 2 draws and 7 defeats; Xinjiang Tianshan have 3, 4 and 8.

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

Shenzhen Ruby FC
DateOpponentScoreCompetition
Mar 17, 2018liaoning hongyun FC(away)1-0League One
Mar 11, 2018Heilongjiang Lava Spring(home)2-2League One
Oct 28, 2017Shanghai Shenxin(home)0-0League One
Oct 21, 2017Hangzhou Greentown(away)4-2League One
Oct 14, 2017Nei Mongol Zhongyou(home)0-1League One
Xinjiang Tianshan
DateOpponentScoreCompetition
Mar 17, 2018Meizhou Meixian Techand(away)0-0League One
Mar 10, 2018liaoning hongyun FC(away)0-2League One
Oct 28, 2017Nei Mongol Zhongyou(home)1-4League One
Oct 8, 2017Beijing Renhe(away)0-2League One
Sep 29, 2017Beijing Baxy(away)2-1League One

What does the head-to-head say?

Across the last 4 meetings: 0 Shenzhen Ruby FC win(s), 2 draw(s), 2 Xinjiang Tianshan win(s).

DateScoreCompetition
Sep 17, 2017Xinjiang Tianshan 1-0 Shenzhen Ruby FCLeague One
May 27, 2017Shenzhen Ruby FC 1-1 Xinjiang TianshanLeague One
Jul 2, 2016Xinjiang Tianshan 1-0 Shenzhen Ruby FCLeague One
Mar 12, 2016Shenzhen Ruby FC 2-2 Xinjiang TianshanLeague One

Last archived meeting: Xinjiang Tianshan vs Shenzhen Ruby FC on Sep 17, 2017

How many goals should we expect?

Shenzhen Ruby FC score 1.4 and concede 1.2 goals per match over their last 15; Xinjiang Tianshan score 1.1 and concede 2.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Shenzhen Ruby FC1.41.247/158/15
Xinjiang Tianshan1.12.139/159/15

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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