Lushnja vs Himara: result 1-1 and analysis
1st DivisionRegular Season - 3Kick-off on September 24, 2011 at 02:00 PM (UTC)Stadiumi Roza Haxhiu, Lushnjë
Full time
What was the result of Lushnja vs Himara?
Lushnja and Himara drew 1-1 on September 24, 2011.
Goalscorers
- 70′E. GoroHimara
- 76′G. DervishiLushnja
Official lineup for Lushnja vs Himara
The starting elevens fielded at kick-off.
Lushnja
- AA. Allkanjari
- KKlevis Gjoni
- RRenato Sula
- FF. Sefa
- IIlirjan Mërtiri
- EEnik Dhima
- BBlerim Hasalla
- LL. Ruço
- FFatjon Topi
- AAlban Bizhyti
- DD. Guga
Himara
- II. Kokona
- AAldo Guna
- MMarsel Rushani
- EE. Mehmetaj
- MM. Qëndro
- EE. Sako
- SShpetim Imeraj
- MMartins
- HH. Ziaj
- EE. Goro
- EErjon Dine
What is the recent form of both teams?
Over their last 2 matches in all competitions, Lushnja have 1 win, 0 draws and 1 defeat; Himara have 0, 0 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2011 | Vlora(away) | 1-2 | 1st Division |
| Sep 10, 2011 | Mamurrasi(home) | 5-0 | 1st Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2011 | Luftetari Gjirokaster(home) | 0-1 | 1st Division |
| Sep 10, 2011 | Besëlidhja Lezhë(away) | 0-1 | 1st Division |
How many goals should we expect?
Lushnja score 3.0 and concede 1.0 goals per match over their last 2; Himara score 0.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lushnja | 3.0 | 1.0 | 1 | 1/2 | 2/2 |
| Himara | 0.0 | 1.0 | 0 | 0/2 | 0/2 |
Over the last 2 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 Himara?
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