Apolonia Fier vs Skenderbeu Korce: result 1-5 and analysis
SuperligaRegular Season - 12Kick-off on December 17, 2011 at 12:00 PM (UTC)Stadiumi Loni Papuçiu, Fier
Full time
What was the result of Apolonia Fier vs Skenderbeu Korce?
Skenderbeu Korce won 1-5 on December 17, 2011.
Goalscorers
- 30′Gjergj MuzakaSkenderbeu Korce
- 39′74535Skenderbeu Korce (pen.)
- 45′A. TahirllariSkenderbeu Korce
- 54′D. BratićSkenderbeu Korce
- 70′M. AgastraApolonia Fier
- 78′BernardoSkenderbeu Korce
What is the recent form of both teams?
Over their last 11 matches in all competitions, Apolonia Fier have 2 wins, 2 draws and 7 defeats; Skenderbeu Korce have 5, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 4, 2011 | Pogradeci(home) | 2-3 | Superliga |
| Nov 26, 2011 | Bylis(away) | 1-2 | Superliga |
| Nov 19, 2011 | Vllaznia Shkodër(home) | 1-4 | Superliga |
| Nov 6, 2011 | Flamurtari(away) | 1-1 | Superliga |
| Oct 30, 2011 | Tirana(home) | 1-2 | Superliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 5, 2011 | Bylis(home) | 3-2 | Superliga |
| Nov 26, 2011 | Vllaznia Shkodër(away) | 2-0 | Superliga |
| Nov 19, 2011 | Flamurtari(home) | 2-1 | Superliga |
| Nov 6, 2011 | Tirana(away) | 0-0 | Superliga |
| Oct 31, 2011 | Kastrioti Krujë(home) | 1-0 | Superliga |
How many goals should we expect?
Apolonia Fier score 0.9 and concede 1.6 goals per match over their last 11; Skenderbeu Korce score 0.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Apolonia Fier | 0.9 | 1.6 | 2 | 6/11 | 4/11 |
| Skenderbeu Korce | 0.9 | 0.9 | 7 | 4/13 | 5/13 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Skenderbeu Korce | 1 | 0 | 1 | 0 | 2 | 2 | 1 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy