Lushnja vs Partizani: result 2-2 and analysis
1st DivisionRegular Season - 30Kick-off on May 12, 2013 at 03:00 PM (UTC)Stadiumi Roza Haxhiu, Lushnjë
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What was the result of Lushnja vs Partizani?
Lushnja and Partizani drew 2-2 on May 12, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lushnja have 10 wins, 2 draws and 3 defeats; Partizani have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2013 | Kamza(away) | 3-5 | 1st Division |
| Apr 27, 2013 | Naftëtari Kuçovë(home) | 2-1 | 1st Division |
| Apr 20, 2013 | Himara(away) | 1-2 | 1st Division |
| Apr 14, 2013 | Gramshi(home) | 2-0 | 1st Division |
| Apr 11, 2013 | Mamurrasi(away) | 3-2 | 1st Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2013 | Besëlidhja Lezhë(home) | 1-1 | 1st Division |
| Apr 27, 2013 | Kamza(home) | 1-2 | 1st Division |
| Apr 20, 2013 | Naftëtari Kuçovë(away) | 2-1 | 1st Division |
| Apr 14, 2013 | Himara(home) | 1-1 | 1st Division |
| Apr 11, 2013 | Gramshi(away) | 1-0 | 1st Division |
What does the head-to-head say?
In the last meeting: 1 Lushnja win, 0 draws, 0 Partizani wins.
| Date | Score | Competition |
|---|---|---|
| Dec 8, 2012 | Partizani 0-1 Lushnja | 1st Division |
How many goals should we expect?
Lushnja score 1.7 and concede 1.0 goals per match over their last 15; Partizani score 1.1 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lushnja | 1.7 | 1.0 | 6 | 8/15 | 8/15 |
| Partizani | 1.1 | 0.8 | 5 | 8/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Lushnja | 33 | 5 | 11 | 17 | 26 | 47 | 26 |
A question about Lushnja vs Partizani?
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