Melita vs Mqabba: result 1-2 and analysis
Challenge LeagueRegular Season - 16Kick-off on January 29, 2017 at 03:15 PM (UTC)Gianni Bencini Ground, Pembroke
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What was the result of Melita vs Mqabba?
Mqabba won 1-2 on January 29, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Melita have 5 wins, 4 draws and 6 defeats; Mqabba have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 22, 2017 | Marsa(away) | 0-0 | Challenge League |
| Jan 14, 2017 | Lija Athletic(home) | 2-0 | Challenge League |
| Jan 8, 2017 | Pietà Hotspurs(home) | 1-3 | Challenge League |
| Dec 16, 2016 | Senglea Athletic(away) | 1-0 | Challenge League |
| Dec 11, 2016 | Sirens(home) | 0-2 | Challenge League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 21, 2017 | Zebbug Rangers(away) | 1-1 | Challenge League |
| Jan 15, 2017 | Marsa(home) | 2-3 | Challenge League |
| 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 |
What does the head-to-head say?
In the last meeting: 0 Melita wins, 1 draw, 0 Mqabba wins.
| Date | Score | Competition |
|---|---|---|
| Sep 24, 2016 | Mqabba 0-0 Melita | Challenge League |
How many goals should we expect?
Melita score 1.0 and concede 1.5 goals per match over their last 15; Mqabba score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Melita | 1.0 | 1.5 | 6 | 6/15 | 6/15 |
| Mqabba | 1.1 | 1.1 | 8 | 4/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Melita | 4 | 1 | 1 | 2 | 4 | 4 | 4 |
A question about Melita 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