Football in Germany offers a mix of structure, intensity, and emerging talent. Each season, the 2. Bundesliga brings together teams with varying styles and ambitions. Our previews are based on recent results, goal patterns, and team consistency. From title races to tight mid-table battles, each match adds context to the season.
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 30 | ||||
| Braunschweig Hertha Berlin 2026-04-19 |
LDLWD
LWWDW |
X2 | 1:1 |
72.23%
|
| Greuther Furth Darmstadt 2026-04-19 |
DLLWW
LLDDW |
1X | 3:2 |
54.08%
|
| Schalke Preussen Munster 2026-04-19 |
WWDDW
DDLLL |
1 | 4:1 |
77.25%
|
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 29 | ||||
| Bochum Braunschweig 2026-04-12 |
LLDWL
DLWDL |
1 DNB | 4:1 |
52.77%
|
| Elversberg Schalke 2026-04-12 |
DWLWD
WDDWD |
1X | 1:2 |
55.53%
|
| Hertha Berlin Kaiserslautern 2026-04-11 |
WWDWW
WLWLL |
1 DNB | 0:1 |
81.17%
|
| Preussen Munster Greuther Furth 2026-04-11 |
DLLLW
LLWWD |
X2 | 0:0 |
70.87%
|
| Darmstadt Hannover 2026-04-11 |
LDDWL
DWDLW |
1X | 0:2 |
57.18%
|
| Dusseldorf Holstein Kiel 2026-04-10 |
LLLWW
DWLLD |
1X | 1:2 |
73.45%
|
| Karlsruher SC Arminia Bielefeld 2026-04-10 |
LWLDW
WLDLL |
X2 | 4:1 |
55.53%
|
| Round 28 | ||||
| Braunschweig Nurnberg 2026-04-05 |
LWDLL
WWLLD |
1X | 1:1 |
69%
|
| Greuther Furth Paderborn 2026-04-05 |
LWWDW
WDDWW |
1X | 0:2 |
84.34%
|
| Hannover Elversberg 2026-04-05 |
WDLWD
WLWDW |
1X | 1:1 |
51.39%
|
| Holstein Kiel Preussen Munster 2026-04-05 |
WLLDL
LLLWL |
X2 | 0:0 |
71.94%
|
| Schalke Karlsruher SC 2026-04-05 |
DDWDW
WLDWW |
Handicap 2 (0:2) | 1:0 |
53.05%
|
| Arminia Bielefeld Darmstadt 2026-04-04 |
LDLLL
DDWLW |
X2 | 2:1 |
63.95%
|
| Kaiserslautern Dusseldorf 2026-04-04 |
LWLLW
LLWWL |
X2 | 3:0 |
74.82%
|
| Magdeburg Bochum 2026-04-04 |
WDLLL
LDWLD |
X2 | 4:1 |
87.48%
|
| SG Dynamo Dresden Hertha Berlin 2026-04-04 |
LWDWD
WDWWL |
X2 | 0:1 |
56.9%
|
Our methodology
Each 2. Bundesliga prediction is based on a model-driven evaluation of team performance. We rely on established statistical methods like Linear Regression for evaluation. We analyze factors such as scoring trends, defensive records, and match consistency. This supports a more informed evaluation of upcoming fixtures.
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