FK Kukesi vs Tirana: result 2-1 and analysis
SuperligaRegular Season - 22Kick-off on April 13, 2013 at 12:00 PM (UTC)Stadiumi Zeqir Ymeri, Kukës
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What was the result of FK Kukesi vs Tirana?
FK Kukesi won 2-1 on April 13, 2013.
Goalscorers
- 78′Julian BrahjaFK Kukesi
- 88′M. ÇotaTirana
- 90′Lazar PopovicFK Kukesi
What is the recent form of both teams?
Over their last 15 matches in all competitions, FK Kukesi have 8 wins, 3 draws and 4 defeats; Tirana have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 7, 2013 | Teuta Durrës(away) | 1-1 | Superliga |
| Mar 30, 2013 | Shkumbini Peqin(home) | 5-1 | Superliga |
| Mar 17, 2013 | Tomori Berat(away) | 5-2 | Superliga |
| Mar 10, 2013 | Laci(home) | 2-1 | Superliga |
| Mar 2, 2013 | Bylis(away) | 0-3 | Superliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 7, 2013 | Skenderbeu Korce(home) | 1-0 | Superliga |
| Mar 31, 2013 | Kastrioti Krujë(away) | 3-0 | Superliga |
| Mar 16, 2013 | Flamurtari(home) | 3-6 | Superliga |
| Mar 10, 2013 | Besa Kavajë(away) | 1-2 | Superliga |
| Mar 2, 2013 | Luftetari Gjirokaster(home) | 2-1 | Superliga |
What does the head-to-head say?
In the last meeting: 1 FK Kukesi win, 0 draws, 0 Tirana wins.
| Date | Score | Competition |
|---|---|---|
| Nov 4, 2012 | Tirana 1-2 FK Kukesi | Superliga |
How many goals should we expect?
FK Kukesi score 1.8 and concede 1.2 goals per match over their last 15; Tirana score 1.2 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FK Kukesi | 1.8 | 1.2 | 2 | 9/15 | 8/15 |
| Tirana | 1.2 | 1.1 | 6 | 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 |
|---|---|---|---|---|---|---|---|---|
| 4 | Tirana | 6 | 2 | 2 | 2 | 11 | 10 | 8 |
A question about FK Kukesi 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