Santa Lucía vs Sliema Wanderers: result 0-4 and analysis
Premier LeagueRegular Season - 11Kick-off on November 23, 2019 at 01:00 PM (UTC)MFA Centenary Stadium, Ta'Qali
Full time
What was the result of Santa Lucía vs Sliema Wanderers?
Sliema Wanderers won 0-4 on November 23, 2019.
Goalscorers
- 43′R. CaruanaSliema Wanderers (o.g.)
- 49′C. ZappaSliema Wanderers
- 79′P. XuerebSliema Wanderers
- 90′J. CisottiSliema Wanderers
What is the recent form of both teams?
Over their last 15 matches in all competitions, Santa Lucía have 6 wins, 4 draws and 5 defeats; Sliema Wanderers have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 9, 2019 | Birkirkara(home) | 0-2 | Premier League |
| Nov 1, 2019 | Hamrun Spartans(away) | 1-1 | Premier League |
| Oct 28, 2019 | Hibernians(home) | 0-2 | Premier League |
| Oct 18, 2019 | Mosta(away) | 0-1 | Premier League |
| Oct 5, 2019 | Senglea Athletic(home) | 0-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 8, 2019 | Hamrun Spartans(home) | 2-0 | Premier League |
| Nov 3, 2019 | Hibernians(away) | 0-1 | Premier League |
| Oct 25, 2019 | Mosta(home) | 0-1 | Premier League |
| Oct 18, 2019 | Senglea Athletic(away) | 0-2 | Premier League |
| Oct 5, 2019 | Sirens(home) | 0-1 | Premier League |
How many goals should we expect?
Santa Lucía score 1.7 and concede 1.4 goals per match over their last 15; Sliema Wanderers score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Santa Lucía | 1.7 | 1.4 | 3 | 8/15 | 8/15 |
| Sliema Wanderers | 0.9 | 1.3 | 2 | 8/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Sliema Wanderers | 2 | 0 | 0 | 2 | 0 | 4 | 0 |
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