Radnički Niš vs Mladost Lučani — Statistical Analysis, Historical Data & AI Match Projections
Match Statistics
1Goals1
59Possession %41
0.00xG0.00
23Total Shots3
6Shots on Target1
113Dangerous Attacks44
8Corners1
Head to Head
League Standings
Radnički Niš12/16Mladost Lučani14/16
| # | Team | MP | W | D | L | Goals | Pts | Form |
|---|---|---|---|---|---|---|---|---|
| 1 | Crvena Zvezda | 35 | 27 | 4 | 4 | 99:29 | 85 | WWL |
| 2 | Partizan | 35 | 21 | 6 | 8 | 67:45 | 69 | LWD |
| 3 | Vojvodina | 35 | 20 | 8 | 7 | 60:34 | 68 | DWD |
| 4 | Železničar Pančevo | 35 | 16 | 9 | 10 | 48:35 | 57 | DWD |
| 5 | Novi Pazar | 35 | 14 | 9 | 12 | 44:49 | 51 | DLW |
| 6 | OFK Beograd | 35 | 11 | 13 | 11 | 46:44 | 46 | DLD |
| 7 | IMT Novi Beograd | 35 | 12 | 10 | 13 | 39:50 | 46 | WDD |
| 8 | Radnik Surdulica | 35 | 11 | 12 | 12 | 44:43 | 45 | DLD |
| 9 | Bačka Topola | 35 | 11 | 11 | 13 | 43:42 | 44 | LDW |
| 10 | Čukarički | 35 | 10 | 14 | 11 | 47:49 | 44 | DLD |
| 11 | Radnički Kragujevac | 35 | 9 | 16 | 10 | 39:40 | 43 | WDD |
| 12 | Radnički Niš | 35 | 12 | 7 | 16 | 42:47 | 43 | LWW |
| 13 | Javor Ivanjica | 35 | 10 | 11 | 14 | 37:48 | 41 | WDL |
| 14 | Mladost Lučani | 35 | 9 | 13 | 13 | 28:50 | 40 | WWL |
| 15 | Spartak Subotica | 35 | 4 | 9 | 22 | 36:69 | 21 | LLL |
| 16 | Napredak | 35 | 3 | 8 | 24 | 30:75 | 17 | LLW |
Performance Radar
Radnički Niš
Mladost LučaniMetric
Home
Away
Possession
59%
41%
xG
0.00
0.00
Shots on Target
6
1
Danger. Attacks
113
44
Corners
8
1
Recent results in Super Liga
League →- 16 May
Spartak Subotica0 – 1IMT Novi Beograd
- 16 May
Napredak0 – 0Radnički Kragujevac
- 16 May
Javor Ivanjica2 – 4Mladost Lučani
- 16 May
Bačka Topola1 – 2Radnički Niš
- 10 May
Bačka Topola6 – 1Javor Ivanjica
- 10 May
Radnički Niš1 – 0Mladost Lučani
- 10 May
Spartak Subotica0 – 3Napredak
- 10 May
IMT Novi Beograd0 – 0Radnički Kragujevac
- 9 May
Železničar Pančevo1 – 1Radnik Surdulica
- 9 May
Partizan1 – 1OFK Beograd
Analysis and simulations are produced by the StatsBrain AI engine and reviewed by our editorial team. Learn how we model outcomes in our methodology and who publishes StatsBrain on About.