Match

Tikveš vs Belasica: result 1-2 and analysis

Second LeagueEast - 9Kick-off on October 20, 2019 at 12:30 PM (UTC)Gradski Stadion, Kavadarci

Tikveš
1-2
Belasica

Full time

What was the result of Tikveš vs Belasica?

Belasica won 1-2 on October 20, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Tikveš have 9 wins, 5 draws and 1 defeat; Belasica have 9, 3 and 3.

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

Tikveš
DateOpponentScoreCompetition
Oct 11, 2019Pobeda(away)2-2Second League
Oct 6, 2019Pehchevo(home)1-0Second League
Sep 28, 2019Sasa(away)1-0Second League
Sep 19, 2019Bregalnica Štip(away)1-0Second League
Sep 15, 2019Pitu Guli(home)5-0Second League
Belasica
DateOpponentScoreCompetition
Oct 13, 2019Bregalnica Štip(home)0-0Second League
Oct 6, 2019Pitu Guli(away)8-0Second League
Sep 28, 2019Osogovo(home)3-0Second League
Sep 21, 2019Plačkovica(away)1-0Second League
Sep 15, 2019Kozuv Gevgelija(home)1-2Second League

What does the head-to-head say?

Across the last 3 meetings: 0 Tikveš wins, 0 draws, 3 Belasica wins.

DateScoreCompetition
Apr 28, 2018Tikveš 0-5 BelasicaSecond League
Oct 28, 2017Tikveš 0-4 BelasicaSecond League
Sep 12, 2017Belasica 3-1 TikvešSecond League

Last archived meeting: Tikveš vs Belasica on Apr 28, 2018

How many goals should we expect?

Tikveš score 1.9 and concede 0.9 goals per match over their last 15; Belasica score 2.2 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Tikveš1.90.987/157/15
Belasica2.20.968/1511/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
5Belasica62407510

A question about Tikveš 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

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