Match

BCGS Hong Kong Sapling vs Yuen Long: result 2-3 and analysis

Premier LeagueRegular Season - 12Kick-off on January 8, 2017 at 06:30 AM (UTC)Tsing Yi Sports Ground, Tsing Yi

BCGS Hong Kong Sapling
2-3
Yuen Long

Full time

What was the result of BCGS Hong Kong Sapling vs Yuen Long?

Yuen Long won 2-3 on January 8, 2017.

Goalscorers

  • 45′Everton CamargoBCGS Hong Kong Sapling
  • 60′Everton CamargoBCGS Hong Kong Sapling
  • 62′A. RandelovicYuen Long
  • 75′73311Yuen Long
  • 90′A. RandelovicYuen Long

What is the recent form of both teams?

Over their last 15 matches in all competitions, BCGS Hong Kong Sapling have 3 wins, 2 draws and 10 defeats; Yuen Long have 7, 3 and 5.

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

BCGS Hong Kong Sapling
DateOpponentScoreCompetition
Dec 10, 2016Southern District(home)0-4Premier League
Dec 3, 2016Wofoo Tai Po(away)0-1Premier League
Nov 27, 2016Kitchee(away)0-0Premier League
Nov 19, 2016Yuen Long(away)0-4Premier League
Nov 2, 2016Eastern(away)2-6Premier League
Yuen Long
DateOpponentScoreCompetition
Dec 11, 2016Rangers(away)2-1Premier League
Dec 4, 2016South China(away)0-1Premier League
Nov 27, 2016Wofoo Tai Po(away)3-0Premier League
Nov 19, 2016BCGS Hong Kong Sapling(home)4-0Premier League
Nov 5, 2016Southern District(away)1-1Premier League

What does the head-to-head say?

Across the last 1 meetings: 0 BCGS Hong Kong Sapling win(s), 0 draw(s), 1 Yuen Long win(s).

DateScoreCompetition
Nov 19, 2016Yuen Long 4-0 BCGS Hong Kong SaplingPremier League

Last archived meeting: Yuen Long vs BCGS Hong Kong Sapling on Nov 19, 2016

How many goals should we expect?

BCGS Hong Kong Sapling score 1.2 and concede 2.3 goals per match over their last 15; Yuen Long score 2.1 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
BCGS Hong Kong Sapling1.22.337/1510/15
Yuen Long2.11.329/1511/15

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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