Pegasus vs R&F: result 1-2 and analysis
Premier LeagueRegular Season - 4Kick-off on September 30, 2016 at 12:00 PM (UTC)Hong Kong Stadium, Hong Kong
Full time
What was the result of Pegasus vs R&F?
R&F won 1-2 on September 30, 2016.
Goalscorers
- 19′Dhiego MartinsPegasus
- 31′Yang TingR&F (pen.)
- 52′Jiachi XiangR&F
Official lineup for Pegasus vs R&F
The starting elevens fielded at kick-off.
Pegasus
- KKin Pong Kwok
- DDhiego Martins
- EEugene Petit Mbende Mbome
- JJoão Emir
- PPak Hang Chan
- LLai Lok Yin
- CCheung Chi Yung
- EEduardo Praes
- PPak Lun Fong
- WWong Chun Ho
- KK. Naumovski
R&F
- MMin Junlin
- NNi Bo
- YYiu Kwok Chuck
- CChen Jiaqi
- JJunjie Hou
- JJiachi Xiang
- HHin Ting Lam
- LLi Lei
- TTsang Kin Fong
- YYang Ting
- LLong Wenhao
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pegasus have 3 wins, 5 draws and 7 defeats; R&F have 0, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2016 | Yuen Long(home) | 2-2 | Premier League |
| Sep 11, 2016 | BCGS Hong Kong Sapling(away) | 4-2 | Premier League |
| Aug 27, 2016 | Rangers(away) | 1-1 | Premier League |
| May 7, 2016 | Rangers(away) | 2-3 | Premier League |
| Apr 23, 2016 | Kitchee(home) | 2-4 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2016 | BCGS Hong Kong Sapling(away) | 0-2 | Premier League |
How many goals should we expect?
Pegasus score 1.4 and concede 1.9 goals per match over their last 15; R&F score 0.0 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pegasus | 1.4 | 1.9 | 3 | 8/15 | 8/15 |
| R&F | 0.0 | 2.0 | 0 | 0/1 | 0/1 |
Over the last 15 matches in all competitions.
A question about Pegasus vs R&F?
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