Mqabba vs Marsa: result 2-3 and analysis
Challenge LeagueRegular Season - 14Kick-off on January 15, 2017 at 03:15 PM (UTC)Victor Tedesco Stadium, Hamrun
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What was the result of Mqabba vs Marsa?
Marsa won 2-3 on January 15, 2017.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Mqabba have 6 wins, 4 draws and 3 defeats; Marsa have 5, 0 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 6, 2017 | Lija Athletic(home) | 3-3 | Challenge League |
| Dec 18, 2016 | Pietà Hotspurs(away) | 0-4 | Challenge League |
| Dec 10, 2016 | Senglea Athletic(home) | 0-0 | Challenge League |
| Dec 2, 2016 | Sirens(away) | 1-0 | Challenge League |
| Nov 27, 2016 | Fgura United(home) | 0-0 | Challenge League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 7, 2017 | Zebbug Rangers(away) | 2-1 | Challenge League |
| Dec 18, 2016 | Lija Athletic(away) | 2-4 | Challenge League |
| Dec 11, 2016 | Pietà Hotspurs(home) | 1-2 | Challenge League |
| Dec 4, 2016 | Senglea Athletic(away) | 2-1 | Challenge League |
| Nov 26, 2016 | Sirens(home) | 0-2 | Challenge League |
What does the head-to-head say?
In the last meeting: 1 Mqabba win, 0 draws, 0 Marsa wins.
| Date | Score | Competition |
|---|---|---|
| Sep 9, 2016 | Marsa 0-3 Mqabba | Challenge League |
How many goals should we expect?
Mqabba score 1.1 and concede 0.9 goals per match over their last 13; Marsa score 1.4 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mqabba | 1.1 | 0.9 | 8 | 2/13 | 5/13 |
| Marsa | 1.4 | 1.8 | 1 | 7/13 | 8/13 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Marsa | 22 | 4 | 7 | 11 | 32 | 38 | 17 |
A question about Mqabba vs Marsa?
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