Marsa vs Mqabba: result 0-3 and analysis
Challenge LeagueRegular Season - 8Kick-off on November 17, 2017 at 06:00 PM (UTC)Luxol Sports Ground, Pembroke
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What was the result of Marsa vs Mqabba?
Mqabba won 0-3 on November 17, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Marsa have 2 wins, 5 draws and 8 defeats; Mqabba have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2017 | Zabbar St. Patrick(away) | 2-1 | Challenge League |
| Oct 28, 2017 | Sirens(home) | 1-3 | Challenge League |
| Oct 16, 2017 | Zejtun Corinthians(away) | 1-1 | Challenge League |
| Oct 1, 2017 | San Gwann(away) | 1-1 | Challenge League |
| Sep 24, 2017 | Qrendi(home) | 1-1 | Challenge League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2017 | San Gwann(home) | 1-0 | Challenge League |
| Oct 29, 2017 | Qrendi(away) | 2-3 | Challenge League |
| Oct 15, 2017 | Vittoriosa Stars(home) | 3-0 | Challenge League |
| Oct 2, 2017 | Qormi(away) | 1-2 | Challenge League |
| Sep 22, 2017 | Melita(home) | 2-0 | Challenge League |
What does the head-to-head say?
Across the last 2 meetings: 1 Marsa win, 0 draws, 1 Mqabba win.
| Date | Score | Competition |
|---|---|---|
| Jan 15, 2017 | Mqabba 2-3 Marsa | Challenge League |
| Sep 9, 2016 | Marsa 0-3 Mqabba | Challenge League |
How many goals should we expect?
Marsa score 1.3 and concede 2.0 goals per match over their last 15; Mqabba score 1.9 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Marsa | 1.3 | 2.0 | 0 | 12/15 | 9/15 |
| Mqabba | 1.9 | 1.4 | 5 | 9/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Marsa | 22 | 4 | 7 | 11 | 32 | 38 | 17 |
A question about Marsa 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