Sham Shui Po vs Pegasus: result 0-4 and analysis
Premier LeagueRegular Season - 3Kick-off on September 24, 2011 at 06:30 AM (UTC)Sham Shui Po Sports Ground, Kowloon
Full time
What was the result of Sham Shui Po vs Pegasus?
Pegasus won 0-4 on September 24, 2011.
Goalscorers
- 27′Godfred KarikariPegasus
- 59′227577Pegasus
- 76′Godfred KarikariPegasus
- 90′Godfred KarikariPegasus
Official lineup for Sham Shui Po vs Pegasus
The starting elevens fielded at kick-off.
Sham Shui Po
- KKong Wai Lo
- WWong Wai
- CCheuk Hin Lau
- LLee Ka Yiu
- CChan Siu Kwan
- CChan Ka Ki
- YYiu Cheuk Poon
- LLeung Kwun Chung
- TTsz Chung Tsang
- JJing Yip Hung
- PPak Lun Fong
Pegasus
- JJaimes Anthony McKee
- GGodfred Karikari
- KKa Chun Li
- SSantos Manoel
- LLee Wai Lun
- DDeng Jinghuang
- CChan Ming Kong
- KKin Fung Cheung
- LLee Hong Lim
- LLucas Tagliapietra
- HHisanori Takada
What is the recent form of both teams?
Over their last 2 matches in all competitions, Sham Shui Po have 0 wins, 0 draws and 2 defeats; Pegasus have 2, 0 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 18, 2011 | South China(home) | 0-2 | Premier League |
| Sep 10, 2011 | Citizen AA(home) | 0-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2011 | BCGS Hong Kong Sapling(home) | 4-0 | Premier League |
| Sep 9, 2011 | Rangers(home) | 4-1 | Premier League |
How many goals should we expect?
Sham Shui Po score 0.0 and concede 1.5 goals per match over their last 2; Pegasus score 4.0 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sham Shui Po | 0.0 | 1.5 | 0 | 0/2 | 0/2 |
| Pegasus | 4.0 | 0.5 | 1 | 1/2 | 2/2 |
Over the last 2 matches in all competitions.
A question about Sham Shui Po vs Pegasus?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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