Sopoti Librazhd vs Mamurrasi: prediction and stats
2nd Division - Group ARegular Season - 9Kick-off on November 19, 2017 at 12:00 AM (UTC)Kompleksi Internacional, Pezë Helmës
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sopoti Librazhd have 2 wins, 4 draws and 9 defeats; Mamurrasi have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 15, 2017 | Veleçiku Koplik(away) | 0-2 | 2nd Division - Group A |
| Nov 12, 2017 | Vora(home) | 0-2 | 2nd Division - Group A |
| Nov 4, 2017 | Kevitan(away) | 1-2 | 2nd Division - Group A |
| Oct 29, 2017 | Spartaku Tiranë(away) | 2-2 | 2nd Division - Group A |
| Oct 22, 2017 | Luzi 2008(home) | 0-1 | 2nd Division - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 13, 2017 | Kastrioti Krujë(home) | 3-0 | 1st Division |
| May 6, 2017 | Tërbuni Pukë(away) | 0-1 | 1st Division |
| Apr 29, 2017 | Iliria Fushë-Krujë(home) | 1-0 | 1st Division |
| Apr 15, 2017 | Besa Kavajë(away) | 1-1 | 1st Division |
| Apr 8, 2017 | Kastrioti Krujë(away) | 1-3 | 1st Division |
How many goals should we expect?
Sopoti Librazhd score 0.8 and concede 1.6 goals per match over their last 15; Mamurrasi score 0.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sopoti Librazhd | 0.8 | 1.6 | 3 | 7/15 | 6/15 |
| Mamurrasi | 0.7 | 1.1 | 5 | 6/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 3 | Sopoti Librazhd | 22 | 16 | 3 | 3 | 46 | 20 | 51 |
A question about Sopoti Librazhd vs Mamurrasi?
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