1. Maj Ruma vs Tekstilac Odžaci: result 3-4 and analysis
Srpska Liga - VojvodinaVojvodina - 30Kick-off on June 4, 2022 at 03:30 PM (UTC)Stadion Maj Ruma, Ruma
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What was the result of 1. Maj Ruma vs Tekstilac Odžaci?
Tekstilac Odžaci won 3-4 on June 4, 2022.
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; Tekstilac Odžaci have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2022 | Radnički Sombor(away) | 2-3 | Srpska Liga - Vojvodina |
| May 21, 2022 | FK Becej(away) | 4-2 | Srpska Liga - Vojvodina |
| May 14, 2022 | Omladinac NB(home) | 1-2 | Srpska Liga - Vojvodina |
| May 7, 2022 | Hajduk 1912 Kula(away) | 1-3 | Srpska Liga - Vojvodina |
| Apr 30, 2022 | Kikinda(home) | 3-0 | Srpska Liga - Vojvodina |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 27, 2022 | Omladinac NB(home) | 2-4 | Srpska Liga - Vojvodina |
| May 22, 2022 | Hajduk 1912 Kula(away) | 1-2 | Srpska Liga - Vojvodina |
| May 14, 2022 | Kikinda(home) | 5-1 | Srpska Liga - Vojvodina |
| May 8, 2022 | Borac Sakule(away) | 1-1 | Srpska Liga - Vojvodina |
| Apr 30, 2022 | Jedinstvo Stara Pazova(home) | 0-1 | Srpska Liga - Vojvodina |
What does the head-to-head say?
Across the last 1 meetings: 0 1. Maj Ruma win(s), 0 draw(s), 1 Tekstilac Odžaci win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 20, 2021 | Tekstilac Odžaci 3-0 1. Maj Ruma | Srpska Liga - Vojvodina |
Last archived meeting: Tekstilac Odžaci vs 1. Maj Ruma on Nov 20, 2021
How many goals should we expect?
1. Maj Ruma score 1.4 and concede 1.3 goals per match over their last 15; Tekstilac Odžaci score 2.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| 1. Maj Ruma | 1.4 | 1.3 | 5 | 7/15 | 9/15 |
| Tekstilac Odžaci | 2.0 | 1.3 | 3 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
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