Match

Ada Velipojë vs Kukësi II: result 1-4 and analysis

2nd Division - Group ARegular Season - 2Kick-off on October 8, 2017 at 12:30 PM (UTC)Fusha sportive Reshit Rusi, Shkodër

Ada Velipojë
1-4
Kukësi II

Full time

What was the result of Ada Velipojë vs Kukësi II?

Kukësi II won 1-4 on October 8, 2017.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Ada Velipojë have 3 wins, 1 draw and 11 defeats; Kukësi II have 8, 2 and 5.

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

Ada Velipojë
DateOpponentScoreCompetition
Oct 1, 2017Kevitan(home)2-02nd Division - Group A
May 14, 2017Egnatia Rrogozhinë(away)0-22nd Division - Group A
May 7, 2017Gramshi(home)2-12nd Division - Group A
Apr 30, 2017Internacional Tirana(away)2-32nd Division - Group A
Apr 23, 2017Kevitan(home)2-22nd Division - Group A
Kukësi II
DateOpponentScoreCompetition
May 14, 2017Gramshi(away)0-32nd Division - Group A
May 6, 2017Internacional Tirana(home)0-02nd Division - Group A
Apr 30, 2017Kevitan(away)2-12nd Division - Group A
Apr 22, 2017Luzi 2008(home)3-12nd Division - Group A
Apr 16, 2017Vllaznia Shkodër II(away)2-22nd Division - Group A

What does the head-to-head say?

Across the last 2 meetings: 0 Ada Velipojë wins, 1 draw, 1 Kukësi II win.

DateScoreCompetition
Feb 27, 2017Kukësi II 5-1 Ada Velipojë2nd Division - Group A
Oct 24, 2016Ada Velipojë 3-3 Kukësi II2nd Division - Group A

Last archived meeting: Kukësi II vs Ada Velipojë on Feb 27, 2017

How many goals should we expect?

Ada Velipojë score 1.2 and concede 2.5 goals per match over their last 15; Kukësi II score 2.0 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Ada Velipojë1.22.519/1511/15
Kukësi II2.01.548/1512/15

Over the last 15 matches in all competitions.

A question about Ada Velipojë vs Kukësi II?

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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