Jagodina vs Timočanin: result 1-0 and analysis
Srpska Liga - EastEast - 28Kick-off on May 21, 2022 at 03:00 PM (UTC)Gradski Stadion, Jagodina
Full time
What was the result of Jagodina vs Timočanin?
Jagodina won 1-0 on May 21, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Jagodina have 5 wins, 3 draws and 7 defeats; Timočanin have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2022 | Rembas(away) | 2-0 | Srpska Liga - East |
| May 7, 2022 | Meševo(away) | 0-3 | Srpska Liga - East |
| Apr 23, 2022 | Dubočica(away) | 1-2 | Srpska Liga - East |
| Apr 20, 2022 | Budućnost Popovac(home) | 1-2 | Srpska Liga - East |
| Apr 16, 2022 | Pčinja Trgovište(away) | 2-1 | Srpska Liga - East |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 7, 2022 | Dubočica(away) | 1-2 | Srpska Liga - East |
| Apr 30, 2022 | Budućnost Popovac(home) | 3-1 | Srpska Liga - East |
| Apr 23, 2022 | Pčinja Trgovište(away) | 0-3 | Srpska Liga - East |
| Apr 20, 2022 | FK Trayal(home) | 1-1 | Srpska Liga - East |
| Apr 17, 2022 | Radnički Svilajnac(away) | 1-1 | Srpska Liga - East |
What does the head-to-head say?
Across the last 2 meetings: 0 Jagodina win(s), 1 draw(s), 1 Timočanin win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 7, 2021 | Timočanin 2-2 Jagodina | Srpska Liga - East |
| Sep 8, 2019 | Timočanin 2-1 Jagodina | Srpska Liga - East |
How many goals should we expect?
Jagodina score 1.1 and concede 1.3 goals per match over their last 15; Timočanin score 1.4 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jagodina | 1.1 | 1.3 | 4 | 7/15 | 7/15 |
| Timočanin | 1.4 | 1.5 | 3 | 8/15 | 8/15 |
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