Match

Gramshi vs Kevitan: prediction and stats

2nd Division - Group AGroup A - 16Kick-off on March 3, 2019 at 12:00 AM (UTC)Fusha Sportive Gramshi, Gramsh

GramshiKevitan

Match cancelled

What is the recent form of both teams?

Over their last 15 matches in all competitions, Gramshi have 8 wins, 3 draws and 4 defeats; Kevitan have 1, 1 and 13.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Gramshi
DateOpponentScoreCompetition
Feb 24, 2019Luzi 2008(away)1-12nd Division - Group A
Dec 16, 2018Kukësi II(home)5-12nd Division - Group A
Dec 9, 2018Sopoti Librazhd(away)1-12nd Division - Group A
Dec 2, 2018Vllaznia Shkodër II(home)4-02nd Division - Group A
Nov 24, 2018Tirana II(away)3-02nd Division - Group A
Kevitan
DateOpponentScoreCompetition
May 12, 2018Partizani Tirana II(home)0-72nd Division - Group A
Apr 28, 2018Klosi(home)2-52nd Division - Group A
Apr 22, 2018Veleçiku Koplik(away)1-72nd Division - Group A
Apr 15, 2018Tirana II(home)0-22nd Division - Group A
Apr 7, 2018Vora(away)0-52nd Division - Group A

What does the head-to-head say?

Across the last 6 meetings: 3 Gramshi win(s), 2 draw(s), 1 Kevitan win(s).

DateScoreCompetition
Apr 1, 2018Kevitan 2-4 Gramshi2nd Division - Group A
Nov 12, 2017Gramshi 1-0 Kevitan2nd Division - Group A
Apr 2, 2017Kevitan 1-4 Gramshi2nd Division - Group A
Nov 20, 2016Gramshi 1-1 Kevitan2nd Division - Group A
May 8, 2016Gramshi 0-0 Kevitan2nd Division - Group A
Dec 13, 2015Kevitan 1-0 Gramshi2nd Division - Group A

Last archived meeting: Kevitan vs Gramshi on Apr 1, 2018

How many goals should we expect?

Gramshi score 1.7 and concede 1.4 goals per match over their last 15; Kevitan score 1.2 and concede 3.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Gramshi1.71.466/157/15
Kevitan1.23.919/1512/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2024-25 standings
#ClubPWDLGFGAPts
11Gramshi223514275014

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

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