Shënkolli vs Kevitan: result 1-0 and analysis
2nd Division - Group ARegular Season - 13Kick-off on February 28, 2016 at 01:00 PM (UTC)Stadiumi Shënkoll, Shënkoll
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What was the result of Shënkolli vs Kevitan?
Shënkolli won 1-0 on February 28, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Shënkolli have 9 wins, 3 draws and 3 defeats; Kevitan have 7, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 21, 2016 | Partizani Tirana II(away) | 1-1 | 2nd Division - Group A |
| Dec 13, 2015 | Luzi 2008(home) | 4-0 | 2nd Division - Group A |
| Dec 6, 2015 | Egnatia Rrogozhinë(away) | 1-2 | 2nd Division - Group A |
| Nov 29, 2015 | Gramshi(home) | 1-0 | 2nd Division - Group A |
| Nov 22, 2015 | Albpetrol Patos(away) | 1-1 | 2nd Division - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 21, 2016 | Egnatia Rrogozhinë(home) | 2-1 | 2nd Division - Group A |
| Dec 13, 2015 | Gramshi(home) | 1-0 | 2nd Division - Group A |
| Dec 6, 2015 | Albpetrol Patos(away) | 1-0 | 2nd Division - Group A |
| Nov 29, 2015 | Vora(home) | 3-2 | 2nd Division - Group A |
| Nov 22, 2015 | Internacional Tirana(away) | 0-0 | 2nd Division - Group A |
What does the head-to-head say?
In the last meeting: 0 Shënkolli wins, 0 draws, 1 Kevitan win.
| Date | Score | Competition |
|---|---|---|
| Oct 4, 2015 | Kevitan 1-0 Shënkolli | 2nd Division - Group A |
How many goals should we expect?
Shënkolli score 1.4 and concede 0.5 goals per match over their last 15; Kevitan score 1.5 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Shënkolli | 1.4 | 0.5 | 8 | 5/15 | 4/15 |
| Kevitan | 1.5 | 1.0 | 5 | 6/12 | 4/12 |
Over the last 15 matches in all competitions.
A question about Shënkolli vs Kevitan?
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