63.20%
1X2 accuracy · 19 predictions (3 months)
🏆
Bracket
League Table
| # | Team | P | W | D | L | GF–GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|
| 1 | FC Schalke 04 | 34 | 21 | 7 | 6 | 50–31 | +19 | 70 |
V
S
V
V
V
|
| 2 | SV Elversberg | 34 | 18 | 8 | 8 | 64–39 | +25 | 62 |
V
S
V
P
V
|
| 3 | SC Paderborn 07 | 34 | 18 | 8 | 8 | 59–45 | +14 | 62 |
V
P
S
S
P
|
| 4 | Hannover 96 | 34 | 16 | 12 | 6 | 60–44 | +16 | 60 |
P
P
P
V
P
|
| 5 | SV Darmstadt 98 | 34 | 13 | 13 | 8 | 57–45 | +12 | 52 |
S
P
S
P
S
|
| 6 | 1. FC Kaiserslautern | 34 | 16 | 4 | 14 | 52–47 | +5 | 52 |
V
V
S
S
S
|
| 7 | Hertha BSC | 34 | 14 | 9 | 11 | 47–44 | +3 | 51 |
S
V
S
S
P
|
| 8 | 1. FC Nürnberg | 34 | 12 | 10 | 12 | 47–45 | +2 | 46 |
P
V
P
V
P
|
| 9 | VfL Bochum | 34 | 11 | 11 | 12 | 49–47 | +2 | 44 |
V
P
P
V
S
|
| 10 | Karlsruher SC | 34 | 12 | 8 | 14 | 53–64 | -11 | 44 |
S
P
V
S
S
|
| 11 | Dynamo Dresden | 34 | 11 | 8 | 15 | 54–53 | +1 | 41 |
V
S
V
S
V
|
| 12 | Holstein Kiel | 34 | 11 | 8 | 15 | 44–48 | -4 | 41 |
S
S
V
V
V
|
| 13 | Arminia Bielefeld | 34 | 10 | 9 | 15 | 53–51 | +2 | 39 |
V
S
P
V
P
|
| 14 | 1. FC Magdeburg | 34 | 12 | 3 | 19 | 52–58 | -6 | 39 |
S
V
V
S
V
|
| 15 | Eintracht Braunschweig | 34 | 10 | 7 | 17 | 36–54 | -18 | 37 |
S
V
S
V
P
|
| 16 | SpVgg Greuther Fürth | 34 | 10 | 7 | 17 | 49–68 | -19 | 37 |
V
S
P
S
V
|
| 17 | Fortuna Düsseldorf | 34 | 11 | 4 | 19 | 33–53 | -20 | 37 |
S
V
S
V
S
|
| 18 | Preußen Münster | 34 | 6 | 12 | 16 | 38–61 | -23 | 30 |
S
P
P
S
S
|
Champion
Promotion
Promotion Playoff
Relegation Playoff
Relegation
Recent results
26 May
2–0
SpVgg Greuther Fürth
Rot-Weiß Essen
22 May
1–0
Rot-Weiß Essen
SpVgg Greuther Fürth
17 May
3–3
Hannover 96
1. FC Nürnberg
17 May
0–2
SV Darmstadt 98
SC Paderborn 07
17 May
0–1
1
1. FC Magdeburg
1. FC Kaiserslautern
17 May
1–2
Karlsruher SC
VfL Bochum
17 May
2–1
Dynamo Dresden
Holstein Kiel
17 May
6–1
Arminia Bielefeld
Hertha BSC
Player statistics
⚽ Top scorers
1
20
N. Futkeu
SpVgg Greuther Fürth
2
17
I. Lidberg
SV Darmstadt 98
3
17
M. Żukowski
1. FC Magdeburg
4
15
C. Itten
Fortuna Düsseldorf
5
15
M. Wanitzek
Karlsruher SC
6
15
F. Bilbija
SC Paderborn 07
7
14
M. Zoma
1. FC Nürnberg
8
14
B. Källman
Hannover 96
9
14
K. Karaman
FC Schalke 04
10
13
L. Petkov
SV Elversberg
👟 Assists
1
13
F. Reese
Hertha BSC
2
11
B. Atik
1. FC Magdeburg
3
9
B. Hrgota
SpVgg Greuther Fürth
4
9
T. Zimmerschied
SV Elversberg
5
9
M. Richter
SV Darmstadt 98
6
9
A. Bernhardsson
Holstein Kiel
7
8
F. Hornby
SV Darmstadt 98
8
8
J. Justvan
1. FC Nürnberg
9
7
M. Wanitzek
Karlsruher SC
10
7
F. Klaus
SpVgg Greuther Fürth
🟨 Yellow cards
1
15
F. Kunze
1. FC Kaiserslautern
2
12
D. Zec
Holstein Kiel
3
12
A. Marhiev
1. FC Nürnberg
4
11
P. Ziereis
SpVgg Greuther Fürth
5
10
M. Bero
VfL Bochum
6
10
J. ter Horst
Preußen Münster
7
10
Cajetan Benjamin Lenz
VfL Bochum
8
10
J. Heuer
Preußen Münster
9
10
R. Preißinger
Preußen Münster
10
10
C. Kobald
Karlsruher SC
Model calibration for this league
| Probability band | Sample | Expected (mid) | Actual | Δ |
|---|---|---|---|---|
| 50–60%% | 10 | 55.00% | 50.0% | -5.00% |
| 60–70%% | 5 | 65.00% | 80.0% | +15.00% |
| 70–100%% | 4 | 85.00% | 75.0% | -10.00% |
Based on 19 verified predictions · Δ ≤ 5% = excellent calibration
xG: who scores more (or less) than they deserve
| # | Team | Goals | xG | Δ | |
|---|---|---|---|---|---|
| 1 |
Karlsruher SC
|
39 | 34.14 | +4.86 |
|
| 2 |
Dynamo Dresden
|
38 | 34.69 | +3.31 |
|
| 3 |
SpVgg Greuther Fürth
|
34 | 32.02 | +1.98 |
|
| 4 |
SV Elversberg
|
43 | 41.08 | +1.92 |
|
| 5 |
1. FC Nürnberg
|
37 | 35.19 | +1.81 |
|
| 6 |
Holstein Kiel
|
32 | 30.55 | +1.45 |
|
| 7 |
Hannover 96
|
44 | 43.09 | +0.91 |
|
| 8 |
Arminia Bielefeld
|
41 | 41.48 | -0.48 |
|
| 9 |
SC Paderborn 07
|
43 | 43.49 | -0.49 |
|
| 10 |
Hertha BSC
|
33 | 34.43 | -1.43 |
|
| 11 |
SV Darmstadt 98
|
41 | 42.75 | -1.75 |
|
| 12 |
Preußen Münster
|
25 | 28.07 | -3.07 |
|
| 13 |
Eintracht Braunschweig
|
29 | 32.19 | -3.19 |
|
| 14 |
1. FC Kaiserslautern
|
31 | 34.40 | -3.40 |
|
| 15 |
VfL Bochum
|
36 | 39.42 | -3.42 |
|
| 16 |
FC Schalke 04
|
36 | 39.81 | -3.81 |
|
| 17 |
1. FC Magdeburg
|
39 | 42.84 | -3.84 |
|
| 18 |
Fortuna Düsseldorf
|
25 | 31.18 | -6.18 |
|
Δ = Goals scored − accumulated xG · green = overperforms, red = underperforms
Frequently Asked Questions
What predictions are available for 2. Bundesliga?
For 2. 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 2. Bundesliga?
Accuracy for 2. Bundesliga is tracked match by match and shown on this page. The model is calibrated specifically for 2. Bundesliga using per-league historical data.
How are 2. 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.
Karlsruher SC
Dynamo Dresden
SV Elversberg
1. FC Nürnberg
Holstein Kiel
Hannover 96
Arminia Bielefeld
SC Paderborn 07
Hertha BSC
SV Darmstadt 98
Preußen Münster
Eintracht Braunschweig
1. FC Kaiserslautern
VfL Bochum
1. FC Magdeburg
Fortuna Düsseldorf