Vlasina vs Jagodina: result 1-2 and analysis
Srpska Liga - EastEast - 16Kick-off on March 6, 2022 at 01:00 PM (UTC)Stadion Rosulja, Vlasotince
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What was the result of Vlasina vs Jagodina?
Jagodina won 1-2 on March 6, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vlasina have 6 wins, 2 draws and 7 defeats; Jagodina have 3, 8 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 21, 2021 | Dinamo Vranje(home) | 6-2 | Srpska Liga - East |
| Nov 13, 2021 | Dubočica(away) | 1-6 | Srpska Liga - East |
| Nov 7, 2021 | Budućnost Popovac(home) | 1-3 | Srpska Liga - East |
| Oct 30, 2021 | Pčinja Trgovište(away) | 0-1 | Srpska Liga - East |
| Oct 24, 2021 | FK Trayal(home) | 0-0 | Srpska Liga - East |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 21, 2021 | Brzi Brod(away) | 0-1 | Srpska Liga - East |
| Nov 13, 2021 | Jedinstvo Paraćin(home) | 0-0 | Srpska Liga - East |
| Nov 7, 2021 | Timočanin(away) | 2-2 | Srpska Liga - East |
| Oct 31, 2021 | Rembas(home) | 1-1 | Srpska Liga - East |
| Oct 27, 2021 | Vojvodina(away) | 1-5 | Cup |
What does the head-to-head say?
Across the last 2 meetings: 0 Vlasina win(s), 0 draw(s), 2 Jagodina win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 14, 2021 | Jagodina 2-1 Vlasina | Srpska Liga - East |
| Sep 22, 2019 | Vlasina 1-2 Jagodina | Srpska Liga - East |
How many goals should we expect?
Vlasina score 1.5 and concede 1.4 goals per match over their last 15; Jagodina score 0.9 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vlasina | 1.5 | 1.4 | 4 | 8/15 | 10/15 |
| Jagodina | 0.9 | 1.0 | 5 | 7/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Vlasina sit 10th in Srpska Liga - East (40 points from 29 matches) and Jagodina sit 3rd (51 points from 29 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Jagodina | 29 | 15 | 6 | 8 | 70 | 31 | 51 |
| 10 | Vlasina | 29 | 11 | 7 | 11 | 62 | 48 | 40 |
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