Match

1. Maj Ruma vs FK Becej: result 0-0 and analysis

Srpska Liga - VojvodinaVojvodina - 13Kick-off on November 6, 2021 at 12:00 PM (UTC)Stadion Maj Ruma, Ruma

1. Maj Ruma
0-0
FK Becej

Full time

What was the result of 1. Maj Ruma vs FK Becej?

1. Maj Ruma and FK Becej drew 0-0 on November 6, 2021.

What is the recent form of both teams?

Over their last 15 matches in all competitions, 1. Maj Ruma have 6 wins, 3 draws and 6 defeats; FK Becej have 11, 3 and 1.

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

1. Maj Ruma
DateOpponentScoreCompetition
Oct 30, 2021Omladinac NB(away)0-3Srpska Liga - Vojvodina
Oct 23, 2021Hajduk 1912 Kula(home)3-1Srpska Liga - Vojvodina
Oct 15, 2021Kikinda(away)1-2Srpska Liga - Vojvodina
Oct 9, 2021Borac Sakule(home)2-0Srpska Liga - Vojvodina
Oct 2, 2021Jedinstvo Stara Pazova(away)2-1Srpska Liga - Vojvodina
FK Becej
DateOpponentScoreCompetition
Oct 30, 2021Dinamo Pančevo(home)2-1Srpska Liga - Vojvodina
Oct 23, 2021Omladinac NB(away)3-2Srpska Liga - Vojvodina
Oct 16, 2021Tisa Adorjan(home)1-1Srpska Liga - Vojvodina
Oct 9, 2021Hajduk 1912 Kula(away)3-1Srpska Liga - Vojvodina
Oct 2, 2021Radnički Zrenjanin(home)2-1Srpska Liga - Vojvodina

What does the head-to-head say?

Across the last 3 meetings: 2 1. Maj Ruma win(s), 0 draw(s), 1 FK Becej win(s).

DateScoreCompetition
Mar 31, 2021FK Becej 2-1 1. Maj RumaSrpska Liga - Vojvodina
Sep 12, 20201. Maj Ruma 1-0 FK BecejSrpska Liga - Vojvodina
Aug 31, 20191. Maj Ruma 2-1 FK BecejSrpska Liga - Vojvodina

Last archived meeting: FK Becej vs 1. Maj Ruma on Mar 31, 2021

How many goals should we expect?

1. Maj Ruma score 1.3 and concede 1.3 goals per match over their last 15; FK Becej score 2.5 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
1. Maj Ruma1.31.357/158/15
FK Becej2.51.0411/1512/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2024-25 standings
#ClubPWDLGFGAPts
16FK Becej301524121237

How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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