Mqabba vs Sirens: result 2-1 and analysis
Challenge LeagueRegular Season - 23Kick-off on March 31, 2017 at 05:30 PM (UTC)Victor Tedesco Stadium, Hamrun
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What was the result of Mqabba vs Sirens?
Mqabba won 2-1 on March 31, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mqabba have 7 wins, 4 draws and 4 defeats; Sirens have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 18, 2017 | Fgura United(away) | 4-3 | Challenge League |
| Mar 12, 2017 | Vittoriosa Stars(home) | 1-0 | Challenge League |
| Mar 3, 2017 | Rabat Ajax(away) | 4-1 | Challenge League |
| Feb 25, 2017 | Gharghur(home) | 3-0 | Challenge League |
| Feb 10, 2017 | Qormi(away) | 0-2 | Challenge League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 18, 2017 | Marsa(home) | 2-2 | Challenge League |
| Mar 12, 2017 | Lija Athletic(away) | 1-2 | Challenge League |
| Mar 5, 2017 | Pietà Hotspurs(home) | 2-1 | Challenge League |
| Feb 24, 2017 | Senglea Athletic(away) | 1-6 | Challenge League |
| Feb 10, 2017 | Zebbug Rangers(home) | 1-2 | Challenge League |
What does the head-to-head say?
In the last meeting: 1 Mqabba win, 0 draws, 0 Sirens wins.
| Date | Score | Competition |
|---|---|---|
| Dec 2, 2016 | Sirens 0-1 Mqabba | Challenge League |
How many goals should we expect?
Mqabba score 1.7 and concede 1.5 goals per match over their last 15; Sirens score 1.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mqabba | 1.7 | 1.5 | 5 | 7/15 | 9/15 |
| Sirens | 1.5 | 1.5 | 5 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Sirens | 3 | 1 | 1 | 1 | 4 | 4 | 4 |
A question about Mqabba vs Sirens?
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