Këlcyra vs Tepelena: result 1-2 and analysis
2nd Division - Group BRegular Season - 6Kick-off on October 30, 2011 at 01:00 PM (UTC)Stadiumi Demir Allamani, Këlcyrë
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What was the result of Këlcyra vs Tepelena?
Tepelena won 1-2 on October 30, 2011.
What is the recent form of both teams?
Over their last 5 matches in all competitions, Këlcyra have 1 win, 1 draw and 3 defeats; Tepelena have 3, 0 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2011 | Sopoti Librazhd(away) | 0-3 | 2nd Division - Group B |
| Oct 16, 2011 | Përmeti(home) | 1-0 | 2nd Division - Group B |
| Oct 9, 2011 | Naftëtari Kuçovë(away) | 0-4 | 2nd Division - Group B |
| Oct 2, 2011 | Albpetrol Patos(home) | 1-1 | 2nd Division - Group B |
| Sep 25, 2011 | Bilisht Sporti(away) | 0-3 | 2nd Division - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2011 | Turbina Cërrik(home) | 3-0 | 2nd Division - Group B |
| Oct 16, 2011 | Delvina(away) | 2-0 | 2nd Division - Group B |
| Oct 9, 2011 | Domosdova Prrenjas(home) | 2-1 | 2nd Division - Group B |
| Oct 2, 2011 | Memaliaj(away) | 1-2 | 2nd Division - Group B |
| Sep 25, 2011 | Sopoti Librazhd(away) | 0-1 | 2nd Division - Group B |
How many goals should we expect?
Këlcyra score 0.4 and concede 2.2 goals per match over their last 5; Tepelena score 1.6 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Këlcyra | 0.4 | 2.2 | 1 | 1/5 | 3/5 |
| Tepelena | 1.6 | 0.8 | 2 | 2/5 | 3/5 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Këlcyra | 20 | 5 | 5 | 10 | 28 | 40 | 20 |
A question about Këlcyra vs Tepelena?
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