Match

Tepelena vs Skrapari: result 2-1 and analysis

2nd Division - Group BGroup B - 5Kick-off on December 5, 2020 at 12:30 PM (UTC)Stadiumi Sabaudin Shehu, Tepelenë

Tepelena
2-1
Skrapari

Full time

What was the result of Tepelena vs Skrapari?

Tepelena won 2-1 on December 5, 2020.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Tepelena have 6 wins, 2 draws and 7 defeats; Skrapari have 1, 0 and 14.

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

Tepelena
DateOpponentScoreCompetition
Nov 28, 2020Gramozi Ersekë(away)0-22nd Division - Group B
Nov 21, 2020Maliqi(home)0-12nd Division - Group B
Nov 4, 2020Devolli(away)1-22nd Division - Group B
Jul 19, 2020Skrapari(away)4-32nd Division - Group B
Jul 12, 2020Tomori Berat(home)1-42nd Division - Group B
Skrapari
DateOpponentScoreCompetition
Nov 28, 2020Devolli(home)1-32nd Division - Group B
Nov 21, 2020Delvina(away)1-32nd Division - Group B
Nov 8, 2020Përmeti(home)1-22nd Division - Group B
Nov 4, 2020Këlcyra(away)1-32nd Division - Group B
Jul 19, 2020Tepelena(home)3-42nd Division - Group B

What does the head-to-head say?

Across the last 6 meetings: 4 Tepelena win(s), 1 draw(s), 1 Skrapari win(s).

DateScoreCompetition
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
Nov 5, 2017Skrapari 1-1 Tepelena2nd Division - Group B

Last archived meeting: Skrapari vs Tepelena on Jul 19, 2020

How many goals should we expect?

Tepelena score 1.5 and concede 1.8 goals per match over their last 15; Skrapari score 1.1 and concede 3.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Tepelena1.51.837/158/15
Skrapari1.13.1110/1511/15

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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