1. Maj Ruma vs Kikinda: result 3-0 and analysis
Srpska Liga - VojvodinaVojvodina - 25Kick-off on April 30, 2022 at 02:30 PM (UTC)Stadion Maj Ruma, Ruma
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What was the result of 1. Maj Ruma vs Kikinda?
1. Maj Ruma won 3-0 on April 30, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, 1. Maj Ruma have 5 wins, 4 draws and 6 defeats; Kikinda have 2, 2 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 24, 2022 | Borac Sakule(away) | 2-0 | Srpska Liga - Vojvodina |
| Apr 20, 2022 | Jedinstvo Stara Pazova(home) | 3-1 | Srpska Liga - Vojvodina |
| Apr 17, 2022 | Borac Šajkaš(away) | 0-0 | Srpska Liga - Vojvodina |
| Apr 9, 2022 | Stari Grad(home) | 1-0 | Srpska Liga - Vojvodina |
| Apr 2, 2022 | Dinamo Pančevo(away) | 2-2 | Srpska Liga - Vojvodina |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 23, 2022 | Omladinac NB(home) | 1-0 | Srpska Liga - Vojvodina |
| Apr 20, 2022 | Hajduk 1912 Kula(away) | 1-3 | Srpska Liga - Vojvodina |
| Apr 16, 2022 | FK Becej(away) | 2-4 | Srpska Liga - Vojvodina |
| Apr 9, 2022 | Borac Sakule(home) | 0-2 | Srpska Liga - Vojvodina |
| Apr 6, 2022 | Jedinstvo Stara Pazova(away) | 0-2 | 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 Kikinda win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 15, 2021 | Kikinda 2-1 1. Maj Ruma | Srpska Liga - Vojvodina |
Last archived meeting: Kikinda vs 1. Maj Ruma on Oct 15, 2021
How many goals should we expect?
1. Maj Ruma score 0.9 and concede 1.2 goals per match over their last 15; Kikinda score 0.7 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| 1. Maj Ruma | 0.9 | 1.2 | 5 | 5/15 | 7/15 |
| Kikinda | 0.7 | 1.9 | 2 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | Kikinda | 30 | 4 | 6 | 20 | 26 | 69 | 18 |
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