Bundesliga
Austria
· Season 2025/26
52.60%
1X2 accuracy · 19 predictions (3 months)
Playoff stage
| # | Team | P | W | D | L | GF–GA | GD | Pts | Form | Vincitore del titolo |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Lask Linz | 32 | 17 | 7 | 8 | 56–42 | +14 | 39 | — | |
| 2 | Sturm Graz | 32 | 16 | 8 | 8 | 51–35 | +16 | 37 | — | |
| 3 | Red Bull Salzburg | 32 | 13 | 9 | 10 | 56–41 | +15 | 29 | — | |
| 4 | Austria Vienna | 32 | 14 | 5 | 13 | 45–50 | -5 | 29 | — | |
| 5 | Rapid Vienna | 32 | 12 | 8 | 12 | 36–41 | -5 | 27 | — | |
| 6 | TSV Hartberg | 32 | 10 | 12 | 10 | 40–40 | +0 | 25 | — |
Vincitore del titolo
| # | Team | P | W | D | L | GF–GA | GD | Pts | Form | Vincitore del titolo |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Ried | 32 | 12 | 6 | 14 | 38–42 | -4 | 28 | — | |
| 2 | Wolfsberger AC | 32 | 11 | 8 | 13 | 41–42 | -1 | 28 | — | |
| 3 | Grazer AK | 32 | 9 | 10 | 13 | 42–45 | -3 | 27 | — | |
| 4 | SCR Altach | 32 | 10 | 12 | 10 | 36–39 | -3 | 27 | — | |
| 5 | WSG Wattens | 32 | 10 | 10 | 12 | 40–52 | -12 | 24 | — | |
| 6 | FC BW Linz | 32 | 8 | 5 | 19 | 37–49 | -12 | 21 | — |
Vincitore del titolo
Player statistics
⚽ Top scorers
1
16
K. Mutandwa
Ried
2
15
O. Kiteishvili
Sturm Graz
3
13
M. Usor
Lask Linz
4
13
E. Havel
TSV Hartberg
5
12
P. Greil
SCR Altach
6
11
R. Harakaté
Grazer AK
7
10
S. Adeniran
Lask Linz
8
10
V. Müller
WSG Wattens
9
9
Kerim-Sam Alajbegović
Red Bull Salzburg
10
9
N. Frederiksen
WSG Wattens
👟 Assists
1
11
D. Zukić
Wolfsberger AC
2
6
J. Eggestein
Austria Vienna
3
6
M. Seidl
Rapid Vienna
4
6
F. Krätzig
Red Bull Salzburg
5
5
M. Usor
Lask Linz
6
5
S. Kalajdzic
Lask Linz
7
5
A. Schöpf
Wolfsberger AC
8
5
A. Bajić
Ried
9
5
P. Dahl
Rapid Vienna
10
5
Y. Massombo
SCR Altach
🟨 Yellow cards
1
12
A. Pašić
FC BW Linz
2
11
A. Barry
Austria Vienna
3
10
A. Bajić
Ried
4
9
M. Boras
WSG Wattens
5
8
M. Bähre
SCR Altach
6
8
P. Wiesinger
Austria Vienna
7
8
R. Renner
Wolfsberger AC
8
8
D. Kubatta
WSG Wattens
9
7
M. Ouédraogo
SCR Altach
10
7
C. Nwaiwu
Wolfsberger AC
Model calibration for this league
| Probability band | Sample | Expected (mid) | Actual | Δ |
|---|---|---|---|---|
| 50–60%% | 7 | 55.00% | 57.1% | +2.10% |
| 60–70%% | 10 | 65.00% | 50.0% | -15.00% |
Based on 19 verified predictions · Δ ≤ 5% = excellent calibration
xG: who scores more (or less) than they deserve
| # | Team | Goals | xG | Δ | |
|---|---|---|---|---|---|
| 1 |
Grazer AK
|
38 | 28.23 | +9.77 |
|
| 2 |
TSV Hartberg
|
27 | 20.03 | +6.97 |
|
| 3 |
SCR Altach
|
29 | 24.11 | +4.89 |
|
| 4 |
Austria Vienna
|
30 | 28.09 | +1.91 |
|
| 5 |
Red Bull Salzburg
|
39 | 38.13 | +0.87 |
|
| 6 |
Wolfsberger AC
|
24 | 23.20 | +0.80 |
|
| 7 |
WSG Wattens
|
28 | 27.49 | +0.51 |
|
| 8 |
Lask Linz
|
45 | 45.25 | -0.25 |
|
| 9 |
Rapid Vienna
|
28 | 29.26 | -1.26 |
|
| 10 |
Sturm Graz
|
34 | 36.90 | -2.90 |
|
| 11 |
FC BW Linz
|
27 | 31.06 | -4.06 |
|
| 12 |
Ried
|
29 | 33.74 | -4.74 |
|
Δ = Goals scored − accumulated xG · green = overperforms, red = underperforms
Frequently Asked Questions
What predictions are available for Bundesliga?
For Bundesliga, 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 Bundesliga?
Accuracy for Bundesliga is tracked match by match and shown on this page. The model is calibrated specifically for Bundesliga using per-league historical data.
How are Bundesliga 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.