Kevitan vs Sopoti Librazhd: result 2-1 and analysis
2nd Division - Group ARegular Season - 6Kick-off on November 4, 2017 at 01:00 PM (UTC)Kompleksi Sportiv i Klubit Olimpik, Tiranë
Full time
What was the result of Kevitan vs Sopoti Librazhd?
Kevitan won 2-1 on November 4, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kevitan have 1 win, 3 draws and 11 defeats; Sopoti Librazhd have 2, 6 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2017 | Internacional Tirana(away) | 0-4 | 2nd Division - Group A |
| Oct 22, 2017 | Spartaku Tiranë(home) | 1-6 | 2nd Division - Group A |
| Oct 14, 2017 | Kukësi II(away) | 0-3 | 2nd Division - Group A |
| Oct 8, 2017 | Luzi 2008(home) | 0-2 | 2nd Division - Group A |
| Oct 1, 2017 | Ada Velipojë(away) | 0-2 | 2nd Division - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2017 | Spartaku Tiranë(away) | 2-2 | 2nd Division - Group A |
| Oct 22, 2017 | Luzi 2008(home) | 0-1 | 2nd Division - Group A |
| Oct 14, 2017 | Partizani Tirana II(away) | 1-4 | 2nd Division - Group A |
| Oct 8, 2017 | Klosi(home) | 1-1 | 2nd Division - Group A |
| Oct 1, 2017 | Tirana II(away) | 0-2 | 2nd Division - Group A |
How many goals should we expect?
Kevitan score 0.5 and concede 2.3 goals per match over their last 15; Sopoti Librazhd score 0.8 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kevitan | 0.5 | 2.3 | 3 | 5/15 | 8/15 |
| Sopoti Librazhd | 0.8 | 1.5 | 4 | 7/15 | 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 Kevitan vs Sopoti Librazhd?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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