Lushnja vs Tirana: result 2-1 and analysis
SuperligaRegular Season - 13Kick-off on November 30, 2013 at 12:30 PM (UTC)Stadiumi Roza Haxhiu, Lushnjë
Full time
What was the result of Lushnja vs Tirana?
Lushnja won 2-1 on November 30, 2013.
Goalscorers
- 23′M. ÇamkoLushnja
- 40′Meglid MihaniLushnja
- 42′E. PashajTirana
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lushnja have 5 wins, 4 draws and 6 defeats; Tirana have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 23, 2013 | FK Kukesi(away) | 0-1 | Superliga |
| Nov 10, 2013 | Flamurtari(away) | 3-4 | Superliga |
| Nov 2, 2013 | Besa Kavajë(home) | 1-0 | Superliga |
| Oct 26, 2013 | Bylis(away) | 1-1 | Superliga |
| Oct 19, 2013 | Partizani(home) | 2-0 | Superliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2013 | Laci(away) | 0-1 | Superliga |
| Nov 10, 2013 | FK Kukesi(away) | 1-2 | Superliga |
| Nov 2, 2013 | Flamurtari(home) | 0-2 | Superliga |
| Oct 27, 2013 | Besa Kavajë(away) | 0-1 | Superliga |
| Oct 20, 2013 | Bylis(home) | 1-0 | Superliga |
What does the head-to-head say?
In the last meeting: 0 Lushnja wins, 0 draws, 1 Tirana win.
| Date | Score | Competition |
|---|---|---|
| Sep 15, 2013 | Tirana 1-0 Lushnja | Superliga |
How many goals should we expect?
Lushnja score 1.2 and concede 1.4 goals per match over their last 15; Tirana score 0.4 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lushnja | 1.2 | 1.4 | 4 | 7/15 | 4/15 |
| Tirana | 0.4 | 0.9 | 6 | 2/15 | 2/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Tirana | 7 | 3 | 2 | 2 | 12 | 10 | 11 |
A question about Lushnja vs Tirana?
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