Sopoti Librazhd vs Kukësi II: result 4-1 and analysis
2nd Division - Group ARegular Season - 11Kick-off on December 10, 2017 at 12:00 PM (UTC)Kompleksi Internacional, Pezë Helmës
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What was the result of Sopoti Librazhd vs Kukësi II?
Sopoti Librazhd won 4-1 on December 10, 2017.
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; Kukësi II have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 26, 2017 | Ada Velipojë(away) | 1-3 | 2nd Division - Group A |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 26, 2017 | Spartaku Tiranë(home) | 1-7 | 2nd Division - Group A |
| Nov 19, 2017 | Luzi 2008(away) | 0-2 | 2nd Division - Group A |
| Nov 15, 2017 | Partizani Tirana II(home) | 0-0 | 2nd Division - Group A |
| Nov 12, 2017 | Klosi(away) | 1-2 | 2nd Division - Group A |
| Nov 5, 2017 | Tirana II(home) | 1-1 | 2nd Division - Group A |
How many goals should we expect?
Sopoti Librazhd score 0.8 and concede 1.6 goals per match over their last 15; Kukësi II score 1.3 and concede 1.8.
| 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 |
| Kukësi II | 1.3 | 1.8 | 3 | 9/15 | 10/15 |
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 Kukësi II?
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