Qrendi vs Melita: result 1-2 and analysis
Challenge LeagueRegular Season - 24Kick-off on April 8, 2018 at 02:00 PM (UTC)Luxol Sports Ground, Pembroke
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What was the result of Qrendi vs Melita?
Melita won 1-2 on April 8, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Qrendi have 3 wins, 5 draws and 7 defeats; Melita have 1, 6 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 31, 2018 | Pembroke Athleta(away) | 1-2 | Challenge League |
| Mar 18, 2018 | Zebbug Rangers(home) | 0-2 | Challenge League |
| Mar 11, 2018 | Rabat Ajax(away) | 2-0 | Challenge League |
| Mar 6, 2018 | Pietà Hotspurs(home) | 0-3 | Challenge League |
| Mar 2, 2018 | Mqabba(away) | 0-2 | Challenge League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2018 | Vittoriosa Stars(home) | 2-2 | Challenge League |
| Mar 18, 2018 | Qormi(away) | 1-2 | Challenge League |
| Mar 10, 2018 | Zejtun Corinthians(away) | 0-3 | Challenge League |
| Mar 6, 2018 | Pembroke Athleta(home) | 1-1 | Challenge League |
| Mar 3, 2018 | Zebbug Rangers(away) | 0-1 | Challenge League |
What does the head-to-head say?
In the last meeting: 0 Qrendi wins, 1 draw, 0 Melita wins.
| Date | Score | Competition |
|---|---|---|
| Dec 15, 2017 | Melita 1-1 Qrendi | Challenge League |
How many goals should we expect?
Qrendi score 0.9 and concede 1.5 goals per match over their last 15; Melita score 0.9 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Qrendi | 0.9 | 1.5 | 4 | 7/15 | 6/15 |
| Melita | 0.9 | 1.7 | 0 | 10/15 | 8/15 |
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 | Melita | 4 | 1 | 1 | 2 | 4 | 4 | 4 |
A question about Qrendi 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