Match

BCGS Hong Kong Sapling vs Pegasus: result 2-4 and analysis

Premier LeagueRegular Season - 2Kick-off on September 11, 2016 at 06:30 AM (UTC)Tsing Yi Sports Ground, Tsing Yi

BCGS Hong Kong Sapling
2-4
Pegasus

Full time

What was the result of BCGS Hong Kong Sapling vs Pegasus?

Pegasus won 2-4 on September 11, 2016.

Goalscorers

  • 32′110429BCGS Hong Kong Sapling
  • 49′Salvador Pérez MartínezPegasus
  • 50′Salvador Pérez MartínezPegasus
  • 68′110384Pegasus
  • 71′João EmirPegasus
  • 85′Everton CamargoBCGS Hong Kong Sapling (pen.)

What is the recent form of both teams?

Over their last 15 matches in all competitions, BCGS Hong Kong Sapling have 2 wins, 4 draws and 9 defeats; Pegasus have 3, 5 and 7.

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

BCGS Hong Kong Sapling
DateOpponentScoreCompetition
Aug 28, 2016South China(away)0-1Premier League
May 19, 2012Sham Shui Po(away)2-1Premier League
May 15, 2012Citizen AA(away)2-0Premier League
Apr 22, 2012Tuen Mun SA(away)0-3Premier League
Apr 7, 2012Wofoo Tai Po(home)2-3Premier League
Pegasus
DateOpponentScoreCompetition
Aug 27, 2016Rangers(away)1-1Premier League
May 7, 2016Rangers(away)2-3Premier League
Apr 23, 2016Kitchee(home)2-4Premier League
Mar 16, 2016Eastern(away)2-4Premier League
Mar 13, 2016Yuen Long(away)2-2Premier League

What does the head-to-head say?

Across the last 2 meetings: 0 BCGS Hong Kong Sapling win(s), 1 draw(s), 1 Pegasus win(s).

DateScoreCompetition
Mar 2, 2012BCGS Hong Kong Sapling 2-2 PegasusPremier League
Sep 17, 2011Pegasus 4-0 BCGS Hong Kong SaplingPremier League

Last archived meeting: BCGS Hong Kong Sapling vs Pegasus on Mar 2, 2012

How many goals should we expect?

BCGS Hong Kong Sapling score 1.1 and concede 2.5 goals per match over their last 15; Pegasus score 1.1 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
BCGS Hong Kong Sapling1.12.518/1511/15
Pegasus1.11.747/156/15

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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