Radnički Zrenjanin vs 1. Maj Ruma: result 2-1 and analysis
Srpska Liga - VojvodinaVojvodina - 12Kick-off on November 2, 2019 at 12:30 PM (UTC)Stadion kod Skrobare, Zrenjanin
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What was the result of Radnički Zrenjanin vs 1. Maj Ruma?
Radnički Zrenjanin won 2-1 on November 2, 2019.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Radnički Zrenjanin have 7 wins, 2 draws and 2 defeats; 1. Maj Ruma have 5, 0 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2019 | Omladinac NB(home) | 1-0 | Srpska Liga - Vojvodina |
| Oct 20, 2019 | Borac Sakule(away) | 3-0 | Srpska Liga - Vojvodina |
| Oct 12, 2019 | Radnički Sombor(home) | 3-0 | Srpska Liga - Vojvodina |
| Oct 5, 2019 | Radnički Sr. Mitrovica(away) | 3-1 | Srpska Liga - Vojvodina |
| Sep 28, 2019 | Bačka 1901(home) | 0-1 | Srpska Liga - Vojvodina |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2019 | Borac Sakule(home) | 0-1 | Srpska Liga - Vojvodina |
| Oct 19, 2019 | Radnički Sombor(away) | 0-3 | Srpska Liga - Vojvodina |
| Oct 13, 2019 | Radnički Sr. Mitrovica(home) | 1-0 | Srpska Liga - Vojvodina |
| Oct 5, 2019 | Bačka 1901(away) | 0-2 | Srpska Liga - Vojvodina |
| Sep 28, 2019 | Hajduk 1912 Kula(home) | 1-0 | Srpska Liga - Vojvodina |
How many goals should we expect?
Radnički Zrenjanin score 1.8 and concede 0.6 goals per match over their last 11; 1. Maj Ruma score 1.0 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Radnički Zrenjanin | 1.8 | 0.6 | 6 | 4/11 | 4/11 |
| 1. Maj Ruma | 1.0 | 1.2 | 4 | 3/11 | 5/11 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Radnički Zrenjanin | 30 | 10 | 7 | 13 | 33 | 38 | 37 |
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