Match

Sušica vs Radjevac Krupanj: result 0-0 and analysis

Srpska Liga - WestWest - 26Kick-off on May 7, 2022 at 03:00 PM (UTC)Stadion FK Sušica, Kragujevac

Sušica
0-0
Radjevac Krupanj

Full time

What was the result of Sušica vs Radjevac Krupanj?

Sušica and Radjevac Krupanj drew 0-0 on May 7, 2022.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Sušica have 2 wins, 6 draws and 7 defeats; Radjevac Krupanj have 4, 4 and 7.

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

Sušica
DateOpponentScoreCompetition
Apr 30, 2022Budućnost Arilje(away)2-5Srpska Liga - West
Apr 23, 2022Sloboda Uzice(home)0-1Srpska Liga - West
Apr 20, 2022Takovo(away)0-4Srpska Liga - West
Apr 16, 2022Sloga Požega(away)1-5Srpska Liga - West
Apr 9, 2022Sloga Bajina Bašta(home)1-1Srpska Liga - West
Radjevac Krupanj
DateOpponentScoreCompetition
May 1, 2022Sloga Bajina Bašta(home)2-0Srpska Liga - West
Apr 23, 2022Trepča(away)1-1Srpska Liga - West
Apr 20, 2022Borac Cacak(home)1-0Srpska Liga - West
Apr 16, 2022Mladi Radnik(away)0-3Srpska Liga - West
Apr 10, 2022Real Podunavci(home)1-2Srpska Liga - West

What does the head-to-head say?

In the last meeting: 0 Sušica wins, 1 draw, 0 Radjevac Krupanj wins.

DateScoreCompetition
Oct 24, 2021Radjevac Krupanj 0-0 SušicaSrpska Liga - West

Last archived meeting: Radjevac Krupanj vs Sušica on Oct 24, 2021

How many goals should we expect?

Sušica score 0.9 and concede 1.9 goals per match over their last 15; Radjevac Krupanj score 0.9 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sušica0.91.938/156/15
Radjevac Krupanj0.91.165/155/15

Over the last 15 matches in all competitions.

A question about Sušica vs Radjevac Krupanj?

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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