Santa Lucía vs Mqabba: result 2-3 and analysis
Challenge LeagueRegular Season - 20Kick-off on March 16, 2019 at 01:00 PM (UTC)Luxol Sports Ground, Pembroke
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What was the result of Santa Lucía vs Mqabba?
Mqabba won 2-3 on March 16, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Santa Lucía have 8 wins, 4 draws and 3 defeats; Mqabba have 6, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2019 | Quiché(home) | 1-0 | Primera Division |
| Mar 9, 2019 | San Gwann(away) | 4-1 | Challenge League |
| Mar 3, 2019 | Sololá(home) | 6-2 | Primera Division |
| Mar 2, 2019 | Sirens(home) | 1-1 | Challenge League |
| Feb 24, 2019 | Chimaltenango(away) | 0-1 | Primera Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2019 | Zejtun Corinthians(home) | 1-0 | Challenge League |
| Mar 3, 2019 | Qrendi(away) | 1-0 | Challenge League |
| Feb 17, 2019 | Lija Athletic(home) | 3-1 | Challenge League |
| Feb 8, 2019 | Marsa(away) | 2-0 | Challenge League |
| Feb 3, 2019 | Swieqi United(home) | 0-2 | Challenge League |
What does the head-to-head say?
In the last meeting: 1 Santa Lucía win, 0 draws, 0 Mqabba wins.
| Date | Score | Competition |
|---|---|---|
| Nov 4, 2018 | Mqabba 0-5 Santa Lucía | Challenge League |
How many goals should we expect?
Santa Lucía score 1.8 and concede 1.1 goals per match over their last 15; Mqabba score 0.8 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Santa Lucía | 1.8 | 1.1 | 4 | 8/15 | 7/15 |
| Mqabba | 0.8 | 1.5 | 5 | 3/15 | 5/15 |
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 | Santa Lucía | 4 | 0 | 4 | 0 | 2 | 2 | 4 |
A question about Santa Lucía vs Mqabba?
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