Match

Meizhou Kejia vs Shenzhen Ruby FC: result 0-1 and analysis

League OneMatchday 4Kick-off on April 8, 2017 at 11:45 AM (UTC)Wuhua Olympic Sports Center Huitang Stadium, Wuhua

Meizhou Kejia
0-1
Shenzhen Ruby FC

Full time

What was the result of Meizhou Kejia vs Shenzhen Ruby FC?

Shenzhen Ruby FC won 0-1 on April 8, 2017.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Meizhou Kejia have 6 wins, 3 draws and 6 defeats; Shenzhen Ruby FC have 5, 4 and 6.

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

Meizhou Kejia
DateOpponentScoreCompetition
Apr 2, 2017Shijiazhuang Y. J.(away)1-1League One
Oct 22, 2016Tianjin Songjiang(away)0-3League One
Oct 15, 2016Dalian Aerbin(home)4-2League One
Sep 25, 2016Beijing Renhe(away)3-3League One
Sep 18, 2016Wuhan Zall(home)0-1League One
Shenzhen Ruby FC
DateOpponentScoreCompetition
Apr 1, 2017Baoding Yingli Yitong(home)3-2League One
Mar 18, 2017Lijiang Jiayunhao(away)3-1League One
Mar 12, 2017Dalian Transcendence(home)6-0League One
Oct 22, 2016Nei Mongol Zhongyou(home)1-3League One
Oct 15, 2016Dalian Transcendence(away)0-0League One

What does the head-to-head say?

Across the last 2 meetings: 1 Meizhou Kejia win, 0 draws, 1 Shenzhen Ruby FC win.

DateScoreCompetition
Aug 27, 2016Shenzhen Ruby FC 2-0 Meizhou KejiaLeague One
May 14, 2016Meizhou Kejia 2-1 Shenzhen Ruby FCLeague One

Last archived meeting: Shenzhen Ruby FC vs Meizhou Kejia on Aug 27, 2016

How many goals should we expect?

Meizhou Kejia score 1.6 and concede 1.6 goals per match over their last 15; Shenzhen Ruby FC score 1.6 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Meizhou Kejia1.61.637/156/15
Shenzhen Ruby FC1.61.739/158/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
15Meizhou Kejia307419266316

A question about Meizhou Kejia vs Shenzhen Ruby FC?

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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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