Devolli vs Sopoti Librazhd: result 2-2 and analysis
2nd Division - Group BGroup B - 5Kick-off on October 24, 2021 at 12:00 PM (UTC)Fusha Sportive Bilisht, Bilisht
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What was the result of Devolli vs Sopoti Librazhd?
Devolli and Sopoti Librazhd drew 2-2 on October 24, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Devolli have 9 wins, 1 draw and 5 defeats; Sopoti Librazhd have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 17, 2021 | Gramozi Ersekë(away) | 1-0 | 2nd Division - Group B |
| Oct 3, 2021 | Këlcyra(home) | 5-3 | 2nd Division - Group B |
| Sep 25, 2021 | Përmeti(away) | 1-1 | 2nd Division - Group B |
| Sep 19, 2021 | Tepelena(home) | 2-0 | 2nd Division - Group B |
| Sep 11, 2021 | Labëria(away) | 0-3 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 17, 2021 | Luftëtari(home) | 2-1 | 2nd Division - Group B |
| Oct 3, 2021 | Albpetrol Patos(away) | 1-4 | 2nd Division - Group B |
| Sep 25, 2021 | Naftëtari Kuçovë(home) | 3-1 | 2nd Division - Group B |
| Sep 18, 2021 | Labëria(away) | 1-2 | 2nd Division - Group B |
| Sep 11, 2021 | Luzi 2008(home) | 1-2 | Cup |
How many goals should we expect?
Devolli score 2.3 and concede 1.3 goals per match over their last 15; Sopoti Librazhd score 2.4 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Devolli | 2.3 | 1.3 | 5 | 8/15 | 10/15 |
| Sopoti Librazhd | 2.4 | 1.4 | 3 | 12/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Devolli | 20 | 10 | 4 | 6 | 39 | 38 | 34 |
A question about Devolli vs Sopoti Librazhd?
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