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SuperLiga

SuperLiga

Serbia  · Season 2025/26
52.00%
1X2 accuracy · 25 predictions (3 months)

Playoff stage

# Team P W D L GF–GA GD Pts Form Vincitore del titolo Champions League Conference League
1 FK Crvena Zvezda 37 27 5 5 100–31 +69 86
S P S V V
2 Vojvodina 37 23 7 7 66–35 +31 76
V V V V P
3 FK Partizan 37 22 7 8 72–45 +27 73
V P P V S
4 Železničar Pančevo 37 16 11 10 50–37 +13 59
P P P V P
5 Novi Pazar 37 14 10 13 46–54 -8 52
S P V S P
6 OFK Beograd 37 12 13 12 49–47 +2 49
V S P S P
7 Radnik Surdulica 37 11 13 13 44–48 -4 46
S P P S P
8 Cukaricki 37 10 15 12 47–50 -3 45
P P S S P
Vincitore del titolo Champions League Conference League

Regular season

# Team P W D L GF–GA GD Pts Form
1 FK Crvena Zvezda 30 24 3 3 87–23 +64 75
P V V V V
2 Vojvodina 30 19 5 6 55–29 +26 62
P S V P V
3 FK Partizan 30 19 4 7 62–39 +23 61
P V V P P
4 Železničar Pančevo 30 15 6 9 42–30 +12 51
P S V V S
5 Novi Pazar 30 13 8 9 38–37 +1 47
S S S S P
6 OFK Beograd 30 10 10 10 39–39 +0 40
P V P V P
7 Cukaricki 30 10 10 10 42–43 -1 40
P P P P V
8 Radnik Surdulica 30 10 9 11 37–35 +2 39
V P P S V
9 IMT Novi Beograd 30 10 7 13 35–49 -14 37
P V P P S
10 Radnicki 1923 30 8 12 10 32–37 -5 36
P P P P S
11 TSC Backa Topola 30 8 10 12 26–35 -9 34
V S V P S
12 Javor 30 8 10 12 29–39 -10 34
V S V P P
13 Radnicki NIS 30 9 6 15 36–42 -6 33
P S S S S
14 Mladost Lucani 30 7 11 12 23–46 -23 32
P V P P S
15 FK Spartak Zdrepceva KRV 30 4 9 17 34–55 -21 21
S S S S V
16 Napredak 30 2 8 20 26–65 -39 14
S S S S P
Promotion Relegation Playoff

Player statistics

⚽ Top scorers
1 A. Katai
A. Katai
FK Crvena Zvezda
24
2 E. Sokler
E. Sokler
Radnicki 1923
15
3 M. Ivanić
M. Ivanić
FK Crvena Zvezda
12
4 V. Kostov
V. Kostov
FK Crvena Zvezda
12
5 S. Tedić
S. Tedić
Cukaricki
12
6 J. Milošević
J. Milošević
FK Partizan
12
7 A. Kostić
A. Kostić
FK Partizan
11
8 J. Enem
J. Enem
OFK Beograd
10
9 Bruno Duarte
Bruno Duarte
FK Crvena Zvezda
10
10 A. Majdevac
A. Majdevac
Napredak
9
👟 Assists
1 L. Ranđelović
L. Ranđelović
Vojvodina
13
2 M. Arnautović
M. Arnautović
FK Crvena Zvezda
8
3 D. Seck
D. Seck
FK Partizan
8
4 M. Vukotić
M. Vukotić
FK Partizan
8
5 Diogo Bezerra
Diogo Bezerra
OFK Beograd
8
6 V. Kostov
V. Kostov
FK Crvena Zvezda
7
7 A. Todoroski
A. Todoroski
TSC Backa Topola
7
8 S. Tomović
S. Tomović
FK Spartak Zdrepceva KRV
7
9 Bruno Duarte
Bruno Duarte
FK Crvena Zvezda
6
10 B. Natcho
B. Natcho
FK Partizan
6
🟨 Yellow cards
1 R. Milosavljević
R. Milosavljević
Radnicki NIS
14
2 S. Bukorac
S. Bukorac
Napredak
11
3 S. Jovanović
S. Jovanović
TSC Backa Topola
11
4 D. Kolarić
D. Kolarić
FK Spartak Zdrepceva KRV
11
5 Vasilije Novicic
Vasilije Novicic
IMT Novi Beograd
11
6 L. Luković
L. Luković
IMT Novi Beograd
10
7 B. Jovičić
B. Jovičić
TSC Backa Topola
10
8 F. Kanouté
F. Kanouté
Radnicki NIS
9
9 Sadick Abubakar
Sadick Abubakar
Radnik Surdulica
9
10 M. Gašić
M. Gašić
Radnik Surdulica
9

Model calibration for this league

Probability band Sample Expected (mid) Actual Δ
50–60%% 8 55.00% 37.5% -17.50%
60–70%% 10 65.00% 50.0% -15.00%
70–100%% 7 85.00% 71.4% -13.60%
Based on 25 verified predictions · Δ ≤ 5% = excellent calibration
Frequently Asked Questions
What predictions are available for SuperLiga?
For SuperLiga, ForzaPitch provides 1X2 win probabilities, expected goals (xG), Over 1.5 and Over 2.5 signals and season projections for title, European qualification and relegation per team.
How accurate are predictions for SuperLiga?
Accuracy for SuperLiga is tracked match by match and shown on this page. The model is calibrated specifically for SuperLiga using per-league historical data.
How are SuperLiga season projections calculated?
Season projections use 10,000 Monte Carlo simulations of the remaining fixtures, sampling from match probability distributions to estimate title, Champions League, Europa League and relegation probabilities per team.