IMT Novi Beograd vs Mladost Lucani: result 0-1 and analysis
Super LigaRegular Season - 15Kick-off on November 11, 2023 at 05:30 PM (UTC)Stadion Event Place, Beograd
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What was the result of IMT Novi Beograd vs Mladost Lucani?
Mladost Lucani won 0-1 on November 11, 2023.
Goalscorers
- 22′U. SremčevićMladost Lucani
What is the recent form of both teams?
Over their last 15 matches in all competitions, IMT Novi Beograd have 4 wins, 3 draws and 8 defeats; Mladost Lucani have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2023 | Napredak(away) | 4-0 | Super Liga |
| Nov 1, 2023 | Javor(home) | 1-1 | Cup |
| Oct 28, 2023 | FK Crvena Zvezda(home) | 1-2 | Super Liga |
| Oct 23, 2023 | Železničar Pančevo(away) | 1-3 | Super Liga |
| Oct 6, 2023 | Radnik Surdulica(home) | 1-1 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2023 | Javor(home) | 1-0 | Super Liga |
| Nov 1, 2023 | OFK Vršac(away) | 1-3 | Cup |
| Oct 29, 2023 | Radnicki 1923(away) | 1-4 | Super Liga |
| Oct 22, 2023 | Radnicki NIS(home) | 1-2 | Super Liga |
| Oct 7, 2023 | FK Partizan(away) | 0-2 | Super Liga |
How many goals should we expect?
IMT Novi Beograd score 1.6 and concede 1.7 goals per match over their last 15; Mladost Lucani score 1.2 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| IMT Novi Beograd | 1.6 | 1.7 | 3 | 10/15 | 10/15 |
| Mladost Lucani | 1.2 | 1.5 | 5 | 9/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
IMT Novi Beograd sit 3rd in Super Liga (10 points from 6 matches) and Mladost Lucani sit 4th (10 points from 6 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | IMT Novi Beograd | 6 | 3 | 1 | 2 | 8 | 4 | 10 |
| 4 | Mladost Lucani | 6 | 2 | 4 | 0 | 7 | 4 | 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