Match

Shkumbini Peqin vs Tomori Berat: result 2-1 and analysis

1st DivisionPromotion Round - 3Kick-off on March 25, 2017 at 02:00 PM (UTC)Stadiumi Shkumbini, Peqin

Shkumbini Peqin
2-1
Tomori Berat

Full time

What was the result of Shkumbini Peqin vs Tomori Berat?

Shkumbini Peqin won 2-1 on March 25, 2017.

Goalscorers

  • 13′E. GjylaShkumbini Peqin
  • 19′Emiljano LlucaShkumbini Peqin
  • 88′Fation KiriTomori Berat

What is the recent form of both teams?

Over their last 15 matches in all competitions, Shkumbini Peqin have 5 wins, 1 draws and 9 defeats; Tomori Berat have 4, 3 and 8.

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

Shkumbini Peqin
DateOpponentScoreCompetition
Mar 19, 2017Lushnja(away)1-31st Division
Mar 4, 2017Sopoti Librazhd(home)0-01st Division
Feb 25, 2017Turbina Cërrik(away)1-21st Division
Feb 18, 2017Bylis(home)0-21st Division
Feb 13, 2017Tomori Berat(away)0-11st Division
Tomori Berat
DateOpponentScoreCompetition
Mar 18, 2017Bylis(away)0-21st Division
Mar 11, 2017Lushnja(home)0-11st Division
Mar 4, 2017Elbasani(away)0-11st Division
Feb 27, 2017Dinamo Tirana(home)1-11st Division
Feb 18, 2017Turbina Cërrik(away)0-21st Division

What does the head-to-head say?

Across the last 6 meetings: 2 Shkumbini Peqin win(s), 0 draw(s), 4 Tomori Berat win(s).

DateScoreCompetition
Feb 13, 2017Tomori Berat 1-0 Shkumbini Peqin1st Division
Oct 29, 2016Shkumbini Peqin 1-0 Tomori Berat1st Division
May 9, 2015Tomori Berat 2-1 Shkumbini Peqin1st Division
Dec 13, 2014Shkumbini Peqin 2-1 Tomori Berat1st Division
Sep 27, 2014Tomori Berat 1-0 Shkumbini Peqin1st Division
Apr 5, 2014Tomori Berat 2-1 Shkumbini Peqin1st Division

Last archived meeting: Tomori Berat vs Shkumbini Peqin on Feb 13, 2017

How many goals should we expect?

Shkumbini Peqin score 0.6 and concede 1.2 goals per match over their last 15; Tomori Berat score 0.5 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Shkumbini Peqin0.61.244/154/15
Tomori Berat0.50.952/150/15

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

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