Match

Tepelena vs Përmeti: result 1-1 and analysis

2nd Division - Group BGroup B - 4Kick-off on October 20, 2019 at 12:00 PM (UTC)Stadiumi Sabaudin Shehu, Tepelenë

Tepelena
1-1
Përmeti

Full time

What was the result of Tepelena vs Përmeti?

Tepelena and Përmeti drew 1-1 on October 20, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Tepelena have 4 wins, 1 draws and 10 defeats; Përmeti have 4, 1 and 10.

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

Tepelena
DateOpponentScoreCompetition
Oct 13, 2019Butrinti Sarandë(away)0-42nd Division - Group B
Oct 6, 2019Maliqi(home)0-22nd Division - Group B
Sep 29, 2019Këlcyra(away)0-42nd Division - Group B
May 19, 2019Devolli(away)1-42nd Division - Group B
May 11, 2019Përmeti(home)3-02nd Division - Group B
Përmeti
DateOpponentScoreCompetition
Oct 13, 2019Selenicë(home)2-02nd Division - Group B
Oct 6, 2019Delvina(away)0-22nd Division - Group B
Sep 29, 2019Albpetrol Patos(home)1-22nd Division - Group B
May 18, 2019Butrinti Sarandë(home)1-12nd Division - Group B
May 11, 2019Tepelena(away)0-32nd Division - Group B

What does the head-to-head say?

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

DateScoreCompetition
May 11, 2019Tepelena 3-0 Përmeti2nd Division - Group B
Dec 9, 2018Përmeti 0-0 Tepelena2nd Division - Group B
Mar 4, 2018Përmeti 2-1 Tepelena2nd Division - Group B
Oct 15, 2017Tepelena 2-0 Përmeti2nd Division - Group B
Apr 9, 2017Përmeti 1-0 Tepelena2nd Division - Group B
Nov 23, 2016Tepelena 1-0 Përmeti2nd Division - Group B

Last archived meeting: Tepelena vs Përmeti on May 11, 2019

How many goals should we expect?

Tepelena score 1.1 and concede 2.2 goals per match over their last 15; Përmeti score 1.1 and concede 1.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Tepelena1.12.245/159/15
Përmeti1.11.928/159/15

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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