Match

Skrapari vs Tepelena: result 1-2 and analysis

2nd Division - Group BGroup B - 18Kick-off on April 4, 2021 at 11:30 AM (UTC)Fusha Sportive Skrapar, Çorovodë

Skrapari
1-2
Tepelena

Full time

What was the result of Skrapari vs Tepelena?

Tepelena won 1-2 on April 4, 2021.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Skrapari have 1 win, 3 draws and 11 defeats; Tepelena have 5, 2 and 8.

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

Skrapari
DateOpponentScoreCompetition
Apr 1, 2021Devolli(away)0-72nd Division - Group B
Mar 28, 2021Delvina(home)2-22nd Division - Group B
Mar 21, 2021Përmeti(away)2-22nd Division - Group B
Mar 14, 2021Këlcyra(home)3-22nd Division - Group B
Mar 7, 2021Memaliaj(home)0-12nd Division - Group B
Tepelena
DateOpponentScoreCompetition
Apr 1, 2021Gramozi Ersekë(home)2-02nd Division - Group B
Mar 28, 2021Maliqi(away)0-42nd Division - Group B
Mar 14, 2021Devolli(home)0-02nd Division - Group B
Mar 7, 2021Delvina(home)1-02nd Division - Group B
Mar 3, 2021Përmeti(away)2-02nd Division - Group B

What does the head-to-head say?

Across the last 6 meetings: 1 Skrapari win, 0 draws, 5 Tepelena wins.

DateScoreCompetition
Dec 5, 2020Tepelena 2-1 Skrapari2nd Division - Group B
Jul 19, 2020Skrapari 3-4 Tepelena2nd Division - Group B
Feb 9, 2020Tepelena 4-2 Skrapari2nd Division - Group B
Mar 24, 2019Tepelena 1-0 Skrapari2nd Division - Group B
Oct 21, 2018Skrapari 1-0 Tepelena2nd Division - Group B
Mar 25, 2018Tepelena 5-2 Skrapari2nd Division - Group B

Last archived meeting: Tepelena vs Skrapari on Dec 5, 2020

How many goals should we expect?

Skrapari score 0.8 and concede 2.9 goals per match over their last 15; Tepelena score 0.7 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Skrapari0.82.918/1513/15
Tepelena0.71.364/156/15

Over the last 15 matches in all competitions.

A question about Skrapari vs Tepelena?

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

Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

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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