Këlcyra vs Elbasani: result 0-0 and analysis
2nd Division - Group BRegular Season - 6Kick-off on November 5, 2017 at 01:00 PM (UTC)Stadiumi Demir Allamani, Këlcyrë
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What was the result of Këlcyra vs Elbasani?
Këlcyra and Elbasani drew 0-0 on November 5, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Këlcyra have 5 wins, 3 draws and 7 defeats; Elbasani have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2017 | Gramozi Ersekë(away) | 1-2 | 2nd Division - Group B |
| Oct 22, 2017 | Oriku(home) | 1-2 | 2nd Division - Group B |
| Oct 15, 2017 | Delvina(home) | 2-0 | 2nd Division - Group B |
| Oct 8, 2017 | Domosdova Prrenjas(away) | 2-1 | 2nd Division - Group B |
| Oct 1, 2017 | Skrapari(home) | 5-0 | 2nd Division - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2017 | Domosdova Prrenjas(home) | 2-1 | 2nd Division - Group B |
| Oct 22, 2017 | Skrapari(away) | 3-0 | 2nd Division - Group B |
| Oct 15, 2017 | Butrinti Sarandë(home) | 1-1 | 2nd Division - Group B |
| Oct 8, 2017 | Albpetrol Patos(away) | 1-0 | 2nd Division - Group B |
| Oct 1, 2017 | Përmeti(home) | 4-1 | 2nd Division - Group B |
How many goals should we expect?
Këlcyra score 1.6 and concede 1.7 goals per match over their last 15; Elbasani score 1.6 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Këlcyra | 1.6 | 1.7 | 3 | 8/15 | 9/15 |
| Elbasani | 1.6 | 1.5 | 3 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Këlcyra | 20 | 5 | 5 | 10 | 28 | 40 | 20 |
A question about Këlcyra vs Elbasani?
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