Mqabba vs Lija Athletic: result 3-1 and analysis
Challenge LeagueRegular Season - 17Kick-off on February 17, 2019 at 02:15 PM (UTC)Victor Tedesco Stadium, Hamrun
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What was the result of Mqabba vs Lija Athletic?
Mqabba won 3-1 on February 17, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mqabba have 4 wins, 3 draws and 8 defeats; Lija Athletic have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 8, 2019 | Marsa(away) | 2-0 | Challenge League |
| Feb 3, 2019 | Swieqi United(home) | 0-2 | Challenge League |
| Jan 20, 2019 | Vittoriosa Stars(away) | 0-1 | Challenge League |
| Jan 16, 2019 | Gudja United(away) | 0-2 | Challenge League |
| Jan 11, 2019 | Pembroke Athleta(home) | 0-2 | Challenge League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 10, 2019 | San Gwann(home) | 2-0 | Challenge League |
| Feb 1, 2019 | Sirens(away) | 1-3 | Challenge League |
| Jan 20, 2019 | Naxxar Lions(home) | 3-1 | Challenge League |
| Jan 15, 2019 | Santa Lucía(home) | 1-2 | Challenge League |
| Jan 11, 2019 | Zejtun Corinthians(away) | 1-4 | Challenge League |
What does the head-to-head say?
Across the last 3 meetings: 0 Mqabba win(s), 2 draw(s), 1 Lija Athletic win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 30, 2018 | Lija Athletic 1-1 Mqabba | Challenge League |
| Apr 30, 2017 | Lija Athletic 2-1 Mqabba | Challenge League |
| Jan 6, 2017 | Mqabba 3-3 Lija Athletic | Challenge League |
Last archived meeting: Lija Athletic vs Mqabba on Sep 30, 2018
How many goals should we expect?
Mqabba score 0.8 and concede 1.6 goals per match over their last 15; Lija Athletic score 1.7 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mqabba | 0.8 | 1.6 | 3 | 5/15 | 5/15 |
| Lija Athletic | 1.7 | 1.6 | 3 | 11/15 | 10/15 |
Over the last 15 matches in all competitions.
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