Ada Velipojë vs Shënkolli: result 3-2 and analysis
2nd Division - Group AGroup A - 19Kick-off on April 10, 2021 at 11:30 AM (UTC)Fusha sportive Reshit Rusi, Shkodër
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What was the result of Ada Velipojë vs Shënkolli?
Ada Velipojë won 3-2 on April 10, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ada Velipojë have 6 wins, 3 draws and 6 defeats; Shënkolli have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 5, 2021 | Gramshi(away) | 1-1 | 2nd Division - Group A |
| Mar 31, 2021 | Valbona(home) | 1-0 | 2nd Division - Group A |
| Mar 27, 2021 | Bulqiza(home) | 1-0 | 2nd Division - Group A |
| Mar 20, 2021 | Sopoti Librazhd(away) | 0-6 | 2nd Division - Group A |
| Mar 13, 2021 | Klosi(home) | 3-1 | 2nd Division - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 4, 2021 | Bulqiza(home) | 1-2 | 2nd Division - Group A |
| Mar 31, 2021 | Sopoti Librazhd(away) | 1-8 | 2nd Division - Group A |
| Mar 27, 2021 | Klosi(home) | 0-3 | 2nd Division - Group A |
| Mar 20, 2021 | Luzi 2008(away) | 0-2 | 2nd Division - Group A |
| Mar 13, 2021 | Mirdita(home) | 3-4 | 2nd Division - Group A |
What does the head-to-head say?
In the last meeting: 0 Ada Velipojë wins, 0 draws, 1 Shënkolli win.
| Date | Score | Competition |
|---|---|---|
| Dec 13, 2020 | Shënkolli 2-1 Ada Velipojë | 2nd Division - Group A |
Last archived meeting: Shënkolli vs Ada Velipojë on Dec 13, 2020
How many goals should we expect?
Ada Velipojë score 1.2 and concede 1.6 goals per match over their last 15; Shënkolli score 1.2 and concede 2.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ada Velipojë | 1.2 | 1.6 | 4 | 8/15 | 9/15 |
| Shënkolli | 1.2 | 2.8 | 3 | 8/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Ada Velipojë vs Shënkolli?
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