Match

Sopoti Librazhd vs Tepelena: result 1-0 and analysis

2nd Division - Group BRegular Season - 8Kick-off on November 17, 2013 at 01:00 PM (UTC)Stadiumi Sopoti, Librazhd

Sopoti Librazhd
1-0
Tepelena

Full time

What was the result of Sopoti Librazhd vs Tepelena?

Sopoti Librazhd won 1-0 on November 17, 2013.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Sopoti Librazhd have 8 wins, 2 draws and 5 defeats; Tepelena have 9, 2 and 4.

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

Sopoti Librazhd
DateOpponentScoreCompetition
Nov 10, 2013Përmeti(away)0-02nd Division - Group B
Nov 3, 2013Gramozi Ersekë(home)2-02nd Division - Group B
Oct 27, 2013Oriku(away)2-02nd Division - Group B
Oct 20, 2013Skrapari(home)2-02nd Division - Group B
Oct 6, 2013Këlcyra(home)2-02nd Division - Group B
Tepelena
DateOpponentScoreCompetition
Nov 10, 2013Delvina(home)3-12nd Division - Group B
Nov 3, 2013Gramshi(away)0-22nd Division - Group B
Oct 27, 2013Naftëtari Kuçovë(home)1-12nd Division - Group B
Oct 20, 2013Memaliaj(away)3-02nd Division - Group B
Oct 6, 2013Bilisht Sporti(home)2-02nd Division - Group B

What does the head-to-head say?

Across the last 4 meetings: 1 Sopoti Librazhd win, 0 draws, 3 Tepelena wins.

DateScoreCompetition
Mar 10, 2013Tepelena 2-1 Sopoti Librazhd2nd Division - Group B
Sep 30, 2012Sopoti Librazhd 1-2 Tepelena2nd Division - Group B
Mar 4, 2012Tepelena 3-0 Sopoti Librazhd2nd Division - Group B
Sep 25, 2011Sopoti Librazhd 1-0 Tepelena2nd Division - Group B

Last archived meeting: Tepelena vs Sopoti Librazhd on Mar 10, 2013

How many goals should we expect?

Sopoti Librazhd score 1.4 and concede 0.9 goals per match over their last 15; Tepelena score 1.7 and concede 1.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sopoti Librazhd1.40.985/154/15
Tepelena1.71.248/159/15

Over the last 15 matches in all competitions.

A question about Sopoti Librazhd vs Tepelena?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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