Match

Vojvodina 1928 vs 1. Maj Ruma: result 0-1 and analysis

Srpska Liga - VojvodinaVojvodina - 33Kick-off on May 9, 2021 at 03:00 PM (UTC)Stadion Vojvodina 1928, Perlez

Vojvodina 1928
0-1
1. Maj Ruma

Full time

What was the result of Vojvodina 1928 vs 1. Maj Ruma?

1. Maj Ruma won 0-1 on May 9, 2021.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Vojvodina 1928 have 2 wins, 4 draws and 9 defeats; 1. Maj Ruma have 7, 3 and 5.

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

Vojvodina 1928
DateOpponentScoreCompetition
May 1, 2021Kozara(home)1-0Srpska Liga - Vojvodina
Apr 28, 2021Radnički Zrenjanin(away)1-5Srpska Liga - Vojvodina
Apr 25, 2021Jedinstvo Stara Pazova(home)0-0Srpska Liga - Vojvodina
Apr 17, 2021FK Becej(away)0-5Srpska Liga - Vojvodina
Apr 14, 2021Radnički Sombor(home)1-2Srpska Liga - Vojvodina
1. Maj Ruma
DateOpponentScoreCompetition
May 1, 2021Borac Sakule(home)2-1Srpska Liga - Vojvodina
Apr 28, 2021Kozara(away)0-0Srpska Liga - Vojvodina
Apr 24, 2021Sloboda Novi Kozarci(home)0-1Srpska Liga - Vojvodina
Apr 17, 2021Radnički Zrenjanin(away)0-2Srpska Liga - Vojvodina
Apr 14, 2021Sloga Čonoplja(home)4-0Srpska Liga - Vojvodina

What does the head-to-head say?

Across the last 2 meetings: 0 Vojvodina 1928 win(s), 1 draw(s), 1 1. Maj Ruma win(s).

DateScoreCompetition
Oct 24, 20201. Maj Ruma 1-1 Vojvodina 1928Srpska Liga - Vojvodina
Sep 8, 2019Vojvodina 1928 0-3 1. Maj RumaSrpska Liga - Vojvodina

Last archived meeting: 1. Maj Ruma vs Vojvodina 1928 on Oct 24, 2020

How many goals should we expect?

Vojvodina 1928 score 0.5 and concede 2.3 goals per match over their last 15; 1. Maj Ruma score 1.2 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Vojvodina 19280.52.355/158/15
1. Maj Ruma1.20.965/156/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2024-25 standings
#ClubPWDLGFGAPts
15Vojvodina 1928306420264822

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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