Match

Sileks vs Belasica: result 2-1 and analysis

First LeagueRegular Season - 36Kick-off on May 26, 2019 at 02:30 PM (UTC)Gradski stadion Kratovo, Kratovo

Sileks
2-1
Belasica

Full time

What was the result of Sileks vs Belasica?

Sileks won 2-1 on May 26, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Sileks have 6 wins, 3 draws and 6 defeats; Belasica have 5, 5 and 5.

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

Sileks
DateOpponentScoreCompetition
May 19, 2019Makedonija GjP(away)0-2First League
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
Belasica
DateOpponentScoreCompetition
May 19, 2019FK Rabotnicki(home)0-1First League
May 12, 2019Shkupi 1927(away)2-2First League
May 8, 2019Renova(home)3-2First League
May 4, 2019Makedonija GjP(home)3-1First League
Apr 27, 2019Vardar Skopje(away)1-1First League

What does the head-to-head say?

Across the last 3 meetings: 2 Sileks wins, 1 draw, 0 Belasica wins.

DateScoreCompetition
Apr 7, 2019Belasica 0-1 SileksFirst League
Dec 2, 2018Sileks 1-0 BelasicaFirst League
Oct 6, 2018Belasica 1-1 SileksFirst League

Last archived meeting: Belasica vs Sileks on Apr 7, 2019

How many goals should we expect?

Sileks score 0.7 and concede 0.8 goals per match over their last 15; Belasica score 1.3 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sileks0.70.882/153/15
Belasica1.31.339/157/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
5Sileks11443191116

A question about Sileks vs Belasica?

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

Other matches in the same round

Next match: Sileks and Belasica

Ready to know everything about football?