Match

Makedonija GjP vs Sileks: result 2-0 and analysis

First LeagueMatchday 35Kick-off on May 19, 2019 at 02:30 PM (UTC)Stadion Gorče Petrov, Skopje

Makedonija GjP
2-0
Sileks

Full time

What was the result of Makedonija GjP vs Sileks?

Makedonija GjP won 2-0 on May 19, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Makedonija GjP have 5 wins, 5 draws and 5 defeats; Sileks have 6, 4 and 5.

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

Makedonija GjP
DateOpponentScoreCompetition
May 12, 2019FK Rabotnicki(away)0-2First League
May 8, 2019Shkupi 1927(home)1-0First League
May 4, 2019Belasica(away)1-3First League
Apr 27, 2019Renova(home)3-1First League
Apr 24, 2019Vardar Skopje(home)0-2First League
Sileks
DateOpponentScoreCompetition
May 12, 2019Vardar Skopje(home)1-0First League
May 8, 2019Shkendija(away)0-0First League
May 4, 2019Akademija Pandev(home)3-0First League
Apr 27, 2019Pobeda(away)1-0First League
Apr 24, 2019Renova(away)0-1First League

What does the head-to-head say?

Across the last 6 meetings: 0 Makedonija GjP wins, 4 draws, 2 Sileks wins.

DateScoreCompetition
Apr 3, 2019Sileks 1-1 Makedonija GjPFirst League
Nov 28, 2018Makedonija GjP 1-1 SileksFirst League
Sep 29, 2018Sileks 1-1 Makedonija GjPFirst League
May 3, 2017Makedonija GjP 0-1 SileksFirst League
Mar 12, 2017Sileks 4-2 Makedonija GjPFirst League
Nov 5, 2016Makedonija GjP 1-1 SileksFirst League

Last archived meeting: Sileks vs Makedonija GjP on Apr 3, 2019

How many goals should we expect?

Makedonija GjP score 1.2 and concede 1.3 goals per match over their last 15; Sileks score 0.7 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Makedonija GjP1.21.349/156/15
Sileks0.70.783/153/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
6Sileks13454191217

A question about Makedonija GjP vs Sileks?

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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