Cukaricki vs Mladost Novi Sad: result 2-0 and analysis
Super LigaRegular Season - 19Kick-off on November 13, 2022 at 04:30 PM (UTC)Stadion na Banovom brdu, Beograd
Full time
What was the result of Cukaricki vs Mladost Novi Sad?
Cukaricki won 2-0 on November 13, 2022.
Goalscorers
- 30′V. RoganCukaricki
- 36′Đ. IvanovićCukaricki
What is the recent form of both teams?
Over their last 15 matches in all competitions, Cukaricki have 7 wins, 5 draws and 3 defeats; Mladost Novi Sad have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2022 | FK Crvena Zvezda(home) | 0-2 | Super Liga |
| Nov 4, 2022 | Napredak(away) | 0-0 | Super Liga |
| Oct 29, 2022 | Novi Pazar(home) | 2-2 | Super Liga |
| Oct 22, 2022 | TSC Backa Topola(away) | 1-1 | Super Liga |
| Oct 19, 2022 | FK Zlatibor(away) | 2-0 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 9, 2022 | Vojvodina(away) | 1-2 | Cup |
| Nov 4, 2022 | FK Vozdovac(home) | 1-2 | Super Liga |
| Oct 29, 2022 | Vojvodina(away) | 0-2 | Super Liga |
| Oct 24, 2022 | Radnik Surdulica(home) | 2-1 | Super Liga |
| Oct 19, 2022 | FK Vozdovac(home) | 2-0 | Cup |
What does the head-to-head say?
Across the last 1 meetings: 1 Cukaricki win(s), 0 draw(s), 0 Mladost Novi Sad win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 31, 2022 | Mladost Novi Sad 0-2 Cukaricki | Super Liga |
Last archived meeting: Mladost Novi Sad vs Cukaricki on Jul 31, 2022
How many goals should we expect?
Cukaricki score 2.0 and concede 1.0 goals per match over their last 15; Mladost Novi Sad score 0.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cukaricki | 2.0 | 1.0 | 7 | 7/15 | 9/15 |
| Mladost Novi Sad | 0.7 | 1.5 | 3 | 6/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Cukaricki | 6 | 3 | 1 | 2 | 9 | 7 | 10 |
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