Shënkolli vs Sopoti Librazhd: result 1-0 and analysis
2nd Division - Group AGroup A - 4Kick-off on November 29, 2020 at 01:00 PM (UTC)Stadiumi Shënkoll, Shënkoll
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What was the result of Shënkolli vs Sopoti Librazhd?
Shënkolli won 1-0 on November 29, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Shënkolli have 3 wins, 1 draw and 11 defeats; Sopoti Librazhd have 10, 0 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 22, 2020 | Klosi(away) | 2-0 | 2nd Division - Group A |
| Nov 8, 2020 | Luzi 2008(home) | 1-3 | 2nd Division - Group A |
| Nov 4, 2020 | Mirdita(away) | 1-0 | 2nd Division - Group A |
| Jul 29, 2020 | Elbasani(home) | 4-6 | 1st Division |
| Jul 25, 2020 | Turbina Cërrik(away) | 2-7 | 1st Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 22, 2020 | Gramshi(home) | 2-0 | 2nd Division - Group A |
| Nov 8, 2020 | Ada Velipojë(away) | 4-0 | 2nd Division - Group A |
| Nov 4, 2020 | Bulqiza(home) | 5-1 | 2nd Division - Group A |
| Jul 19, 2020 | Vllaznia Shkodër II(away) | 0-2 | 2nd Division - Group A |
| Jul 8, 2020 | Internacional Tirana(away) | 4-2 | 2nd Division - Group A |
How many goals should we expect?
Shënkolli score 1.3 and concede 2.7 goals per match over their last 15; Sopoti Librazhd score 2.5 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Shënkolli | 1.3 | 2.7 | 2 | 9/15 | 10/15 |
| Sopoti Librazhd | 2.5 | 1.2 | 5 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 3 | Sopoti Librazhd | 22 | 16 | 3 | 3 | 46 | 20 | 51 |
A question about Shënkolli 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