Marsa vs Melita: result 0-0 and analysis
Challenge LeagueRegular Season - 15Kick-off on January 22, 2017 at 01:00 PM (UTC)Luxol Sports Ground, Pembroke
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What was the result of Marsa vs Melita?
Marsa and Melita drew 0-0 on January 22, 2017.
What is the recent form of both teams?
Over their last 14 matches in all competitions, Marsa have 6 wins, 0 draws and 8 defeats; Melita have 5, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 15, 2017 | Mqabba(away) | 3-2 | Challenge League |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Dec 3, 2016 | Fgura United(away) | 4-1 | Challenge League |
What does the head-to-head say?
In the last meeting: 0 Marsa wins, 0 draws, 1 Melita win.
| Date | Score | Competition |
|---|---|---|
| Sep 18, 2016 | Melita 1-0 Marsa | Challenge League |
How many goals should we expect?
Marsa score 1.5 and concede 1.8 goals per match over their last 14; Melita score 1.1 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Marsa | 1.5 | 1.8 | 1 | 8/14 | 9/14 |
| Melita | 1.1 | 1.6 | 5 | 6/14 | 6/14 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Melita | 4 | 1 | 1 | 2 | 4 | 4 | 4 |
A question about Marsa vs Melita?
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