Jagodina vs SFS Borac: result 1-1 and analysis
Srpska Liga - EastEast - 26Kick-off on May 13, 2023 at 02:30 PM (UTC)Gradski Stadion, Jagodina
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What was the result of Jagodina vs SFS Borac?
Jagodina and SFS Borac drew 1-1 on May 13, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Jagodina have 3 wins, 4 draws and 8 defeats; SFS Borac have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 7, 2023 | Brzi Brod(away) | 2-3 | Srpska Liga - East |
| Apr 29, 2023 | Meševo(home) | 0-0 | Srpska Liga - East |
| Apr 23, 2023 | Timočanin(away) | 2-3 | Srpska Liga - East |
| Apr 15, 2023 | Pčinja Trgovište(home) | 0-0 | Srpska Liga - East |
| Apr 9, 2023 | Car Konstantin(away) | 2-0 | Srpska Liga - East |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 7, 2023 | Toplicanin Prokuplje(home) | 2-1 | Srpska Liga - East |
| Apr 30, 2023 | Budućnost Popovac(away) | 1-0 | Srpska Liga - East |
| Apr 23, 2023 | Timok Zaječar(home) | 1-1 | Srpska Liga - East |
| Apr 15, 2023 | Dubočica(away) | 2-5 | Srpska Liga - East |
| Apr 9, 2023 | Radnicki Pirot(home) | 1-0 | Srpska Liga - East |
What does the head-to-head say?
Across the last 2 meetings: 0 Jagodina win(s), 1 draw(s), 1 SFS Borac win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 23, 2022 | SFS Borac 2-1 Jagodina | Srpska Liga - East |
| Oct 6, 2019 | SFS Borac 0-0 Jagodina | Srpska Liga - East |
Last archived meeting: SFS Borac vs Jagodina on Oct 23, 2022
How many goals should we expect?
Jagodina score 1.1 and concede 1.3 goals per match over their last 15; SFS Borac score 1.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jagodina | 1.1 | 1.3 | 4 | 8/15 | 8/15 |
| SFS Borac | 1.7 | 1.3 | 5 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Jagodina | 29 | 15 | 6 | 8 | 70 | 31 | 51 |
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