OTP Bank Liga
Ungheria
· Season 2025/26
62.50%
1X2 accuracy · 16 predictions (3 months)
🏆
League Table
| # | Team | P | W | D | L | GF–GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Gyori ETO FC | 33 | 20 | 9 | 4 | 65–30 | +35 | 69 |
V
V
P
V
V
|
| 2 | Ferencvarosi TC | 33 | 21 | 5 | 7 | 67–31 | +36 | 68 |
V
V
V
S
V
|
| 3 | Paks | 33 | 15 | 8 | 10 | 63–46 | +17 | 53 |
V
V
S
V
S
|
| 4 | Debreceni VSC | 33 | 14 | 11 | 8 | 51–41 | +10 | 53 |
V
S
P
V
P
|
| 5 | Zalaegerszegi TE | 33 | 13 | 9 | 11 | 49–43 | +6 | 48 |
S
S
S
V
S
|
| 6 | Puskas Academy | 33 | 13 | 7 | 13 | 43–43 | +0 | 46 |
P
V
V
S
S
|
| 7 | Ujpest | 33 | 11 | 7 | 15 | 48–57 | -9 | 40 |
S
S
S
V
V
|
| 8 | Kisvarda FC | 33 | 11 | 7 | 15 | 36–49 | -13 | 40 |
S
S
S
S
P
|
| 9 | Nyiregyhaza | 33 | 10 | 10 | 13 | 47–57 | -10 | 40 |
P
P
V
S
V
|
| 10 | MTK Budapest | 33 | 9 | 11 | 13 | 55–62 | -7 | 38 |
P
P
P
V
V
|
| 11 | Diosgyori VTK | 33 | 6 | 10 | 17 | 39–65 | -26 | 28 |
S
S
V
S
S
|
| 12 | Kazincbarcikai | 33 | 6 | 4 | 23 | 31–70 | -39 | 22 |
P
V
P
S
S
|
Champion
Champions League
Conference League
Relegation
Recent results
Player statistics
⚽ Top scorers
1
14
D. Lukács
Puskas Academy
2
13
A. Matko
Ujpest
3
11
D. Bárány
Debreceni VSC
4
10
J. Hahn
Paks
5
8
Adin Molnar
MTK Budapest
6
7
L. Joseph
Ferencvarosi TC
7
7
D. Böde
Paks
8
7
A. Skribek
Zalaegerszegi TE
9
7
Z. Nagy
Puskas Academy
10
6
Á. Zalán
MTK Budapest
👟 Assists
1
6
Z. Gruber
Ferencvarosi TC
2
5
A. Skribek
Zalaegerszegi TE
3
5
B. Dzsudzsák
Debreceni VSC
4
5
I. Bognár
MTK Budapest
5
5
J. Mešanović
Kisvarda FC
6
5
M. Abu Fani
Ferencvarosi TC
7
5
L. Duarte
Puskas Academy
8
4
Adin Molnar
MTK Budapest
9
4
A. Benbouali
Gyori ETO FC
10
4
K. Horváth
Ujpest
🟨 Yellow cards
1
10
K. Horváth
Ujpest
2
10
K. Papp
Paks
3
9
A. Fiola
Ujpest
4
9
B. Batik
Debreceni VSC
5
9
R. Szolnoki
Puskas Academy
6
8
T. Rajmund
Gyori ETO FC
7
8
A. Markgráf
Puskas Academy
8
8
B. Cipetić
Kisvarda FC
9
8
J. Mejías
Debreceni VSC
10
8
Michael Okeke
Puskas Academy
Model calibration for this league
| Probability band | Sample | Expected (mid) | Actual | Δ |
|---|---|---|---|---|
| 50–60%% | 3 | 55.00% | 33.3% | -21.70% |
| 60–70%% | 9 | 65.00% | 55.6% | -9.40% |
| 70–100%% | 4 | 85.00% | 100.0% | +15.00% |
Based on 16 verified predictions · Δ ≤ 5% = excellent calibration
Frequently Asked Questions
What predictions are available for OTP Bank Liga?
For OTP Bank Liga, 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 OTP Bank Liga?
Accuracy for OTP Bank Liga is tracked match by match and shown on this page. The model is calibrated specifically for OTP Bank Liga using per-league historical data.
How are OTP Bank Liga 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.