Skenderbeu Korce vs Lushnja: result 2-0 and analysis
SuperligaRegular Season - 5Kick-off on September 29, 2013 at 03:00 PM (UTC)Stadiumi Skënderbeu, Korçë
Full time
What was the result of Skenderbeu Korce vs Lushnja?
Skenderbeu Korce won 2-0 on September 29, 2013.
Goalscorers
- 17′74535Skenderbeu Korce (pen.)
- 49′Pero PejićSkenderbeu Korce
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skenderbeu Korce have 7 wins, 2 draws and 6 defeats; Lushnja have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2013 | Tirana(away) | 2-0 | Superliga |
| Sep 18, 2013 | FK Kukesi(home) | 1-3 | Superliga |
| Sep 15, 2013 | Flamurtari(away) | 1-2 | Superliga |
| Sep 1, 2013 | Besa Kavajë(home) | 1-0 | Superliga |
| Aug 6, 2013 | Shakhter Karagandy(home) | 3-2 | UEFA Champions League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2013 | Vllaznia Shkodër(home) | 1-1 | Superliga |
| Sep 18, 2013 | Laci(home) | 1-0 | Superliga |
| Sep 15, 2013 | Tirana(away) | 0-1 | Superliga |
| Sep 4, 2013 | FK Kukesi(home) | 1-0 | Superliga |
| May 12, 2013 | Partizani(home) | 2-2 | 1st Division |
How many goals should we expect?
Skenderbeu Korce score 1.1 and concede 1.1 goals per match over their last 15; Lushnja score 1.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skenderbeu Korce | 1.1 | 1.1 | 8 | 4/15 | 5/15 |
| Lushnja | 1.5 | 1.1 | 5 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 7 | Skenderbeu Korce | 10 | 2 | 5 | 3 | 11 | 12 | 11 |
A question about Skenderbeu Korce vs Lushnja?
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