Montego Bay United vs Sandals South Coast: result 3-1 and analysis
Premier LeagueRegular Season - 5Kick-off on October 22, 2017 at 11:30 PM (UTC)Catherine Hall Sports Complex, Montego Bay
Full time
What was the result of Montego Bay United vs Sandals South Coast?
Montego Bay United won 3-1 on October 22, 2017.
Goalscorers
- 2′Lesly St. FleurMontego Bay United
- 10′Lesly St. FleurMontego Bay United
- 45′Carvel BlakeSandals South Coast
- 90′O. NishMontego Bay United
What is the recent form of both teams?
Over their last 15 matches in all competitions, Montego Bay United have 2 wins, 6 draws and 7 defeats; Sandals South Coast have 0, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2017 | UWI(away) | 0-3 | Premier League |
| Oct 9, 2017 | Cavalier(home) | 1-2 | Premier League |
| Oct 3, 2017 | Boys' Town(home) | 0-1 | Premier League |
| Sep 25, 2017 | Harbour View(away) | 1-1 | Premier League |
| May 2, 2017 | Arnett Gardens(home) | 1-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2017 | Cavalier(home) | 1-1 | Premier League |
| Oct 10, 2017 | Harbour View(away) | 0-0 | Premier League |
| Oct 1, 2017 | Portmore United(home) | 0-4 | Premier League |
| Sep 26, 2017 | Arnett Gardens(away) | 1-3 | Premier League |
How many goals should we expect?
Montego Bay United score 0.9 and concede 1.2 goals per match over their last 15; Sandals South Coast score 0.5 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Montego Bay United | 0.9 | 1.2 | 3 | 8/15 | 6/15 |
| Sandals South Coast | 0.5 | 2.0 | 1 | 2/4 | 2/4 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Montego Bay United | 39 | 21 | 8 | 10 | 79 | 45 | 71 |
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