Vllaznia Shkodër II vs Kevitan: prediction and stats
2nd Division - Group AGroup A - 6Kick-off on October 28, 2018 at 12:00 AM (UTC)Fusha sportive Reshit Rusi, Shkodër
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vllaznia Shkodër II have 5 wins, 4 draws and 6 defeats; Kevitan have 1, 1 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2018 | Luzi 2008(away) | 0-2 | 2nd Division - Group A |
| Sep 30, 2018 | Kukësi II(away) | 0-2 | 2nd Division - Group A |
| Sep 23, 2018 | Sopoti Librazhd(home) | 2-1 | 2nd Division - Group A |
| Sep 16, 2018 | Partizani Tirana II(home) | 1-1 | 2nd Division - Group A |
| May 12, 2018 | Burreli(away) | 0-2 | 1st Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2018 | Partizani Tirana II(home) | 0-7 | 2nd Division - Group A |
| Apr 28, 2018 | Klosi(home) | 2-5 | 2nd Division - Group A |
| Apr 22, 2018 | Veleçiku Koplik(away) | 1-7 | 2nd Division - Group A |
| Apr 15, 2018 | Tirana II(home) | 0-2 | 2nd Division - Group A |
| Apr 7, 2018 | Vora(away) | 0-5 | 2nd Division - Group A |
What does the head-to-head say?
Across the last 2 meetings: 2 Vllaznia Shkodër II win(s), 0 draw(s), 0 Kevitan win(s).
| Date | Score | Competition |
|---|---|---|
| Feb 26, 2017 | Vllaznia Shkodër II 3-0 Kevitan | 2nd Division - Group A |
| Oct 23, 2016 | Kevitan 2-3 Vllaznia Shkodër II | 2nd Division - Group A |
Last archived meeting: Vllaznia Shkodër II vs Kevitan on Feb 26, 2017
How many goals should we expect?
Vllaznia Shkodër II score 0.9 and concede 1.3 goals per match over their last 15; Kevitan score 1.2 and concede 3.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vllaznia Shkodër II | 0.9 | 1.3 | 4 | 6/15 | 5/15 |
| Kevitan | 1.2 | 3.9 | 1 | 9/15 | 12/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy