Match

Gramshi vs Kevitan: result 1-0 and analysis

2nd Division - Group ARegular Season - 7Kick-off on November 12, 2017 at 01:00 PM (UTC)Fusha Sportive Gramshi, Gramsh

Gramshi
1-0
Kevitan

Full time

What was the result of Gramshi vs Kevitan?

Gramshi won 1-0 on November 12, 2017.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Gramshi have 5 wins, 1 draws and 9 defeats; Kevitan have 2, 3 and 10.

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

Gramshi
DateOpponentScoreCompetition
Nov 5, 2017Internacional Tirana(away)0-12nd Division - Group A
Oct 29, 2017Kukësi II(home)3-12nd Division - Group A
Oct 22, 2017Ada Velipojë(away)0-12nd Division - Group A
Oct 8, 2017Veleçiku Koplik(away)0-22nd Division - Group A
Oct 1, 2017Vora(home)1-32nd Division - Group A
Kevitan
DateOpponentScoreCompetition
Nov 4, 2017Sopoti Librazhd(home)2-12nd Division - Group A
Oct 29, 2017Internacional Tirana(away)0-42nd Division - Group A
Oct 22, 2017Spartaku Tiranë(home)1-62nd Division - Group A
Oct 14, 2017Kukësi II(away)0-32nd Division - Group A
Oct 8, 2017Luzi 2008(home)0-22nd Division - Group A

What does the head-to-head say?

Across the last 4 meetings: 1 Gramshi win(s), 2 draw(s), 1 Kevitan win(s).

DateScoreCompetition
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 2, 2017

How many goals should we expect?

Gramshi score 1.4 and concede 1.6 goals per match over their last 15; Kevitan score 0.7 and concede 2.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Gramshi1.41.628/159/15
Kevitan0.72.136/158/15

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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