Kamza vs Apolonia Fier: result 0-1 and analysis
SuperligaRegular Season - 4Kick-off on October 1, 2011 at 01:00 PM (UTC)Stadiumi Kamza, Kamëz
Full time
What was the result of Kamza vs Apolonia Fier?
Apolonia Fier won 0-1 on October 1, 2011.
Goalscorers
- 71′R. RamaApolonia Fier
Official lineup for Kamza vs Apolonia Fier
The starting elevens fielded at kick-off.
Kamza
- JJanuary Ziambo
- SSokol Ishka
- AArtan Karapici
- GG. Manuka
- EEleandro Pema
- AArdit Beqiri
- RR. Hallaçi
- FFatjon Tafaj
- AArben Likmeta
- MMarjan Belchev
- MMario Bytyçi
Apolonia Fier
- JJ. Gërxho
- AA. Ribaj
- RR. Rama
- LL. Muçaj
- CC. Ofoyen
- AA. Mehmetaj
- AA. Meto
- LLuiz Fernando De Almeida Da Silva
- SS. Muhaj
- KK. Ndoni
- KK. Xhelilaj
What is the recent form of both teams?
Over their last 3 matches in all competitions, Kamza have 1 win, 0 draws and 2 defeats; Apolonia Fier have 1, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2011 | Bylis(away) | 1-2 | Superliga |
| Sep 16, 2011 | Vllaznia Shkodër(home) | 1-0 | Superliga |
| Sep 11, 2011 | Flamurtari(away) | 1-2 | Superliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2011 | Laci(home) | 1-1 | Superliga |
| Sep 17, 2011 | Shkumbini Peqin(away) | 0-2 | Superliga |
| Sep 11, 2011 | Dinamo Tirana(home) | 2-0 | Superliga |
How many goals should we expect?
Kamza score 1.0 and concede 1.3 goals per match over their last 3; Apolonia Fier score 1.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kamza | 1.0 | 1.3 | 1 | 2/3 | 2/3 |
| Apolonia Fier | 1.0 | 1.0 | 1 | 1/3 | 0/3 |
Over the last 3 matches in all competitions.
A question about Kamza vs Apolonia Fier?
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