3. Liga
Germania
· Season 2025/26
58.10%
1X2 accuracy · 31 predictions (3 months)
🏆
League Table
| # | Team | P | W | D | L | GF–GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|
| 1 | VfL Osnabrück | 38 | 24 | 8 | 6 | 66–34 | +32 | 80 |
V
P
V
V
V
|
| 2 | Energie Cottbus | 38 | 21 | 9 | 8 | 72–51 | +21 | 72 |
V
V
S
V
V
|
| 3 | Rot-Weiß Essen | 38 | 20 | 10 | 8 | 78–66 | +12 | 70 |
V
V
S
S
S
|
| 4 | MSV Duisburg | 38 | 19 | 11 | 8 | 66–49 | +17 | 68 |
P
P
V
S
V
|
| 5 | Hansa Rostock | 38 | 18 | 13 | 7 | 74–49 | +25 | 67 |
V
V
P
S
P
|
| 6 | Verl | 38 | 18 | 10 | 10 | 82–48 | +34 | 64 |
V
S
V
S
V
|
| 7 | Alemannia Aachen | 38 | 19 | 7 | 12 | 76–57 | +19 | 64 |
V
V
P
V
V
|
| 8 | TSV 1860 München | 38 | 15 | 11 | 12 | 54–53 | +1 | 56 |
S
S
P
V
P
|
| 9 | SV Wehen | 38 | 15 | 8 | 15 | 54–52 | +2 | 53 |
V
S
S
P
P
|
| 10 | Waldhof Mannheim | 38 | 15 | 7 | 16 | 59–72 | -13 | 52 |
S
V
S
P
P
|
| 11 | FC Viktoria Köln | 38 | 15 | 6 | 17 | 51–53 | -2 | 51 |
P
S
V
S
S
|
| 12 | FC Ingolstadt 04 | 38 | 13 | 10 | 15 | 65–56 | +9 | 49 |
V
V
S
V
S
|
| 13 | SSV Jahn Regensburg | 38 | 14 | 7 | 17 | 54–58 | -4 | 49 |
S
S
V
V
S
|
| 14 | Stuttgart II | 38 | 13 | 7 | 18 | 57–69 | -12 | 46 |
S
S
V
S
P
|
| 15 | FC Saarbrücken | 38 | 10 | 14 | 14 | 51–57 | -6 | 44 |
S
S
V
V
P
|
| 16 | Hoffenheim II | 38 | 12 | 7 | 19 | 65–71 | -6 | 43 |
S
V
S
S
S
|
| 17 | Havelse | 38 | 9 | 8 | 21 | 57–89 | -32 | 35 |
S
V
S
V
S
|
| 18 | Erzgebirge Aue | 38 | 7 | 13 | 18 | 51–70 | -19 | 34 |
V
P
V
P
P
|
| 19 | SSV Ulm 1846 | 38 | 9 | 6 | 23 | 49–78 | -29 | 33 |
S
P
S
S
V
|
| 20 | FC Schweinfurt 05 | 38 | 5 | 6 | 27 | 38–87 | -49 | 21 |
S
S
P
P
P
|
Champion
Promotion
Promotion Playoff
Relegation
Recent results
16 May
3–4
FC Saarbrücken
Hansa Rostock
16 May
2–4
FC Schweinfurt 05
Erzgebirge Aue
16 May
2–0
SV Wehen
Hoffenheim II
16 May
5–1
FC Ingolstadt 04
Waldhof Mannheim
16 May
0–1
SSV Jahn Regensburg
Energie Cottbus
16 May
3–4
Stuttgart II
VfL Osnabrück
16 May
2–3
SSV Ulm 1846
Rot-Weiß Essen
16 May
6–1
1
Alemannia Aachen
Havelse
Player statistics
⚽ Top scorers
1
16
E. Engelhardt
Energie Cottbus
2
15
M. Schröers
Alemannia Aachen
3
14
L. Gindorf
Alemannia Aachen
4
13
S. Haugen
TSV 1860 München
5
13
B. Taz
Verl
6
13
M. Costly
FC Ingolstadt 04
7
12
R. Meißner
VfL Osnabrück
8
12
D. Zeitler
Hoffenheim II
9
12
F. Lohkemper
Waldhof Mannheim
10
11
J. Arweiler
Verl
👟 Assists
1
13
B. Taz
Verl
2
9
R. Meißner
VfL Osnabrück
3
8
K. Mizuta
Rot-Weiß Essen
4
8
L. Kehl
VfL Osnabrück
5
7
T. Ciğerci
Energie Cottbus
6
6
M. Costly
FC Ingolstadt 04
7
6
F. Carlsen
FC Ingolstadt 04
8
6
A. Ferati
Waldhof Mannheim
9
6
J. Düker
Havelse
10
5
M. Schröers
Alemannia Aachen
🟨 Yellow cards
1
13
J. Janitzek
SV Wehen
2
13
E. Uhlmann
Erzgebirge Aue
3
12
M. Brandt
SSV Ulm 1846
4
12
P. Krätschmer
FC Schweinfurt 05
5
11
N. Plume
Havelse
6
11
K. Volland
TSV 1860 München
7
11
F. Wagner
VfL Osnabrück
8
11
M. Seegert
SSV Ulm 1846
9
10
N. May
SV Wehen
10
10
L. Dietz
FC Viktoria Köln
Model calibration for this league
| Probability band | Sample | Expected (mid) | Actual | Δ |
|---|---|---|---|---|
| 50–60%% | 9 | 55.00% | 66.7% | +11.70% |
| 60–70%% | 11 | 65.00% | 54.5% | -10.50% |
| 70–100%% | 11 | 85.00% | 54.5% | -30.50% |
Based on 31 verified predictions · Δ ≤ 5% = excellent calibration
Frequently Asked Questions
What predictions are available for 3. Liga?
For 3. 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 3. Liga?
Accuracy for 3. Liga is tracked match by match and shown on this page. The model is calibrated specifically for 3. Liga using per-league historical data.
How are 3. 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.