Jagodina vs Car Konstantin: result 4-1 and analysis
Srpska Liga - EastEast - 6Kick-off on September 17, 2022 at 02:00 PM (UTC)Gradski Stadion, Jagodina
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What was the result of Jagodina vs Car Konstantin?
Jagodina won 4-1 on September 17, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Jagodina have 9 wins, 0 draws and 6 defeats; Car Konstantin have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2022 | Timok Zaječar(home) | 1-0 | Cup |
| Sep 10, 2022 | Dunav Stari Banovci(away) | 3-0 | Srpska Liga - East |
| Sep 3, 2022 | Jedinstvo Paraćin(home) | 1-0 | Srpska Liga - East |
| Aug 28, 2022 | Vlasina(away) | 1-2 | Srpska Liga - East |
| Aug 20, 2022 | Radnički Svilajnac(home) | 3-0 | Srpska Liga - East |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2022 | Toplicanin Prokuplje(home) | 0-2 | Srpska Liga - East |
| Sep 4, 2022 | Budućnost Popovac(away) | 0-1 | Srpska Liga - East |
| Aug 28, 2022 | Timok Zaječar(home) | 1-2 | Srpska Liga - East |
| Aug 20, 2022 | Dubočica(away) | 0-3 | Srpska Liga - East |
| Aug 14, 2022 | SFS Borac(home) | 1-2 | Srpska Liga - East |
What does the head-to-head say?
Across the last 1 meetings: 1 Jagodina win(s), 0 draw(s), 0 Car Konstantin win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 12, 2019 | Jagodina 2-0 Car Konstantin | Srpska Liga - East |
Last archived meeting: Jagodina vs Car Konstantin on Oct 12, 2019
How many goals should we expect?
Jagodina score 1.5 and concede 1.1 goals per match over their last 15; Car Konstantin score 1.7 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jagodina | 1.5 | 1.1 | 7 | 6/15 | 9/15 |
| Car Konstantin | 1.7 | 1.6 | 3 | 7/15 | 9/15 |
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