Humble Lions vs Sandals South Coast: result 4-0 and analysis
Premier LeagueRegular Season - 8Kick-off on November 5, 2017 at 08:00 PM (UTC)Effortville Community Centre, May Pen
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What was the result of Humble Lions vs Sandals South Coast?
Humble Lions won 4-0 on November 5, 2017.
Goalscorers
- 13′W. WolfeHumble Lions
- 56′Ricardo DenissHumble Lions
- 63′A. VanzieHumble Lions
- 73′W. WolfeHumble Lions
What is the recent form of both teams?
Over their last 15 matches in all competitions, Humble Lions have 4 wins, 5 draws and 6 defeats; Sandals South Coast have 0, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2017 | Cavalier(away) | 0-2 | Premier League |
| Oct 29, 2017 | Harbour View(home) | 0-0 | Premier League |
| Oct 22, 2017 | Portmore United(away) | 0-3 | Premier League |
| Oct 15, 2017 | Arnett Gardens(home) | 1-1 | Premier League |
| Oct 8, 2017 | Reno(away) | 1-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2017 | Waterhouse(home) | 1-2 | Premier League |
| Oct 29, 2017 | Tivoli Gardens(away) | 0-0 | Premier League |
| Oct 22, 2017 | Montego Bay United(away) | 1-3 | Premier League |
| Oct 15, 2017 | Cavalier(home) | 1-1 | Premier League |
| Oct 10, 2017 | Harbour View(away) | 0-0 | Premier League |
How many goals should we expect?
Humble Lions score 1.1 and concede 1.3 goals per match over their last 15; Sandals South Coast score 0.6 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Humble Lions | 1.1 | 1.3 | 4 | 8/15 | 8/15 |
| Sandals South Coast | 0.6 | 1.9 | 2 | 4/7 | 4/7 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Humble Lions | 39 | 7 | 12 | 20 | 34 | 65 | 33 |
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