Lija Athletic vs Mqabba: result 2-1 and analysis
Challenge LeagueRegular Season - 26Kick-off on April 30, 2017 at 02:00 PM (UTC)Lija Ground, Lija
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What was the result of Lija Athletic vs Mqabba?
Lija Athletic won 2-1 on April 30, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lija Athletic have 9 wins, 4 draws and 2 defeats; Mqabba have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2017 | Marsa(away) | 4-2 | Challenge League |
| Apr 8, 2017 | Zebbug Rangers(home) | 3-1 | Challenge League |
| Apr 2, 2017 | Pietà Hotspurs(home) | 5-0 | Challenge League |
| Mar 19, 2017 | Senglea Athletic(away) | 2-0 | Challenge League |
| Mar 12, 2017 | Sirens(home) | 2-1 | Challenge League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2017 | Pietà Hotspurs(home) | 1-3 | Challenge League |
| Apr 8, 2017 | Senglea Athletic(away) | 0-1 | Challenge League |
| Mar 31, 2017 | Sirens(home) | 2-1 | Challenge League |
| Mar 18, 2017 | Fgura United(away) | 4-3 | Challenge League |
| Mar 12, 2017 | Vittoriosa Stars(home) | 1-0 | Challenge League |
What does the head-to-head say?
In the last meeting: 0 Lija Athletic wins, 1 draw, 0 Mqabba wins.
| Date | Score | Competition |
|---|---|---|
| Jan 6, 2017 | Mqabba 3-3 Lija Athletic | Challenge League |
Last archived meeting: Mqabba vs Lija Athletic on Jan 6, 2017
How many goals should we expect?
Lija Athletic score 2.7 and concede 1.4 goals per match over their last 15; Mqabba score 1.8 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lija Athletic | 2.7 | 1.4 | 4 | 10/15 | 13/15 |
| Mqabba | 1.8 | 1.7 | 3 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Lija Athletic vs Mqabba?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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