Partizan - AI Match Simulations, Performance Trends & Statistical Data
Team Overview · Super Liga
Recent form (last 5)
Partizan have recorded 2 wins, 3 draws and 1 defeat across their last 6 Super Liga matches (33% win rate) - a net-positive performance trend over this sample. That return of 9 points from a possible 18 is consistent with mid-table efficiency over this sample.
League Standings · Super Liga · 2025/2026
| # | Team | MP | W | D | L | GGoals | Pts | Form |
|---|---|---|---|---|---|---|---|---|
| 1 |  Crvena Zvezda | 37 | 27 | 5 | 5 | 100:31 | 86 | |
| 2 |  Vojvodina | 37 | 22 | 8 | 7 | 65:35 | 74 | |
| 3 | Partizan | 37 | 22 | 7 | 8 | 72:45 | 73 | |
| 4 |  Železničar Pančevo | 37 | 16 | 11 | 10 | 50:37 | 59 | |
| 5 |  Novi Pazar | 37 | 14 | 10 | 13 | 46:54 | 52 | |
| 6 |  IMT Novi Beograd | 37 | 13 | 11 | 13 | 41:51 | 50 | |
| 7 |  OFK Beograd | 37 | 12 | 13 | 12 | 49:47 | 49 | |
| 8 |  Radnički Niš | 37 | 14 | 7 | 16 | 46:49 | 49 | |
| 9 |  Čukarički | 37 | 10 | 16 | 11 | 47:49 | 46 | |
| 10 |  Radnik Surdulica | 37 | 11 | 13 | 13 | 44:48 | 46 | |
| 11 |  Mladost Lučani | 37 | 11 | 13 | 13 | 33:52 | 46 | |
| 12 |  Bačka Topola | 37 | 11 | 12 | 14 | 45:45 | 45 | |
| 13 |  Radnički Kragujevac | 37 | 9 | 18 | 10 | 41:42 | 45 | |
| 14 |  Javor Ivanjica | 37 | 10 | 12 | 15 | 41:54 | 42 | |
| 15 |  Spartak Subotica | 37 | 4 | 9 | 24 | 37:72 | 21 | |
| 16 |  Napredak | 37 | 3 | 9 | 25 | 30:76 | 18 |
Team Analysis · Super Liga
Over their last 10 Super Liga fixtures, Partizan have scored 14 goals (1.4 per match) - below-league-average attacking efficiency - and conceded 9 (0.9 per match), reflecting a defensively efficient record, placing them in the upper tier for goals conceded. A goal difference of +5 across this sample reflects a broadly balanced team that creates more than it concedes.
Home fixture record (last 5 Super Liga matches): 3W–2D–0L - 60% home win rate; away fixture record (last 5 matches): 1W–3D–1L - 20% away win rate. The pronounced gap between home and away win rates signals a strong home advantage - a variable that StatsBrain's location-adjusted model weights heavily.
Statistical Modelling · Super Liga
StatsBrain's Partizan modelling layer merges league scoring baselines, venue-adjusted home/away splits, standings position, recent form and squad market value into Monte Carlo simulations. Outputs are refreshed as new fixture data arrives and are intended for statistical analysis - not as certainties. Open the next fixture page for the complete projection breakdown.
Recent Results · Partizan
| Category | HOME | AWAY | Total |
|---|---|---|---|
| Average Goals | 1.88 | 0.75 | 2.63 |
| Average Corners | 4.50 | 2.88 | 7.38 |
Frequently Asked Questions · Partizan
8What is Partizan's recent form?
Across their last 6 Super Liga fixtures, Partizan have recorded 2 wins, 3 draws and 1 defeat - a 33% win rate over that sample. StatsBrain's model weights this short-term trend in its outcome probability distributions.
How many goals does Partizan score per game?
Partizan have scored an average of 1.40 goals per match across their last 10 Super Liga fixtures. Over the same sample they concede an average of 0.90 goals per game.
What is Partizan's home record?
In their last 10 home Super Liga fixtures, Partizan have won 6, drawn 3 and lost 1 - a 60% home win rate. They average 1.8 goals per home match over that period.
What is Partizan's away record?
Away from home, Partizan have won 3, drawn 3 and lost 4 of their last 10 Super Liga away fixtures - a 30% away win rate. They score an average of 1.1 goals per away match.