Match

Tepelena vs Delvina: result 3-1 and analysis

2nd Division - Group BRegular Season - 7Kick-off on November 10, 2013 at 01:00 PM (UTC)Stadiumi Sabaudin Shehu, Tepelenë

Tepelena
3-1
Delvina

Full time

What was the result of Tepelena vs Delvina?

Tepelena won 3-1 on November 10, 2013.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Tepelena have 8 wins, 2 draws and 5 defeats; Delvina have 8, 3 and 4.

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

Tepelena
DateOpponentScoreCompetition
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
Sep 29, 2013Këlcyra(away)1-02nd Division - Group B
Delvina
DateOpponentScoreCompetition
Nov 3, 2013Përmeti(home)1-02nd Division - Group B
Oct 27, 2013Gramozi Ersekë(away)1-12nd Division - Group B
Oct 20, 2013Oriku(home)0-02nd Division - Group B
Oct 6, 2013Skrapari(away)3-12nd Division - Group B
Sep 29, 2013Sopoti Librazhd(home)1-22nd Division - Group B

What does the head-to-head say?

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

DateScoreCompetition
Mar 17, 2013Delvina 3-0 Tepelena2nd Division - Group B
Oct 7, 2012Tepelena 1-0 Delvina2nd Division - Group B
Mar 25, 2012Tepelena 4-2 Delvina2nd Division - Group B
Oct 16, 2011Delvina 0-2 Tepelena2nd Division - Group B

Last archived meeting: Delvina vs Tepelena on Mar 17, 2013

How many goals should we expect?

Tepelena score 1.6 and concede 1.3 goals per match over their last 15; Delvina score 1.6 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Tepelena1.61.348/159/15
Delvina1.60.977/158/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2024-25 standings
#ClubPWDLGFGAPts
6Delvina20758323126

A question about Tepelena vs Delvina?

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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