Vlasina vs Jagodina: result 1-2 and analysis
Srpska Liga - EastEast - 6Kick-off on September 22, 2019 at 01:30 PM (UTC)Stadion Rosulja, Vlasotince
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What was the result of Vlasina vs Jagodina?
Jagodina won 1-2 on September 22, 2019.
What is the recent form of both teams?
Over their last 5 matches in all competitions, Vlasina have 4 wins, 1 draws and 0 defeats; Jagodina have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2019 | Toplicanin Prokuplje(away) | 2-2 | Srpska Liga - East |
| Sep 8, 2019 | Dunav Prahovo(home) | 1-0 | Srpska Liga - East |
| Sep 1, 2019 | Radan(away) | 2-1 | Srpska Liga - East |
| Aug 25, 2019 | Car Konstantin(home) | 4-0 | Srpska Liga - East |
| Aug 18, 2019 | SFS Borac(away) | 3-1 | Srpska Liga - East |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2019 | Temnic 1924(home) | 6-0 | Srpska Liga - East |
| Sep 8, 2019 | Timočanin(away) | 1-2 | Srpska Liga - East |
| Aug 31, 2019 | Sinđelić(home) | 3-1 | Srpska Liga - East |
| Aug 24, 2019 | Trstenik PPT(away) | 1-0 | Srpska Liga - East |
| Aug 17, 2019 | Rembas(home) | 4-0 | Srpska Liga - East |
How many goals should we expect?
Vlasina score 2.4 and concede 0.8 goals per match over their last 5; Jagodina score 1.5 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vlasina | 2.4 | 0.8 | 2 | 3/5 | 4/5 |
| Jagodina | 1.5 | 1.8 | 4 | 7/15 | 10/15 |
Over the last 5 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