2. Bundesliga
Latest results
No fixtures in the next 14 days — predictions appear the day before each round.
Every current prediction2. Bundesliga profile
43%
Home wins
26%
Draws
31%
Away wins
59%
Over 2.5 goals
60%
Both teams scored
3.00
Goals / game
Across 670 2. Bundesliga matches in our dataset since 2024-25.
League table
| # | Team | P | W | D | L | GD | Pts | Value | Form |
|---|---|---|---|---|---|---|---|---|---|
| 1 |  Hertha BSC | 6 | 6 | 0 | 0 | +10 | 18 | €23m | WWWWW |
| 2 |  1. FC Nürnberg | 6 | 5 | 1 | 0 | +10 | 16 | WWDWW | |
| 3 |  1. FC Heidenheim 1846 | 6 | 4 | 1 | 1 | +2 | 13 | €66m | DWWWL |
| 4 |  VfL Wolfsburg | 6 | 3 | 2 | 1 | +7 | 11 | €165m | WLDWW |
| 5 |  1. FC Kaiserslautern | 6 | 3 | 2 | 1 | +2 | 11 | WLWWD | |
| 6 |  1. FC Magdeburg | 6 | 3 | 1 | 2 | +2 | 10 | DWLWW | |
| 7 |  Energie Cottbus | 6 | 2 | 2 | 2 | +1 | 8 | DWDLL | |
| 8 |  FC St. Pauli 1910 | 6 | 1 | 4 | 1 | 0 | 7 | €58m | DWDLD |
| 9 |  VfL Bochum 1848 | 6 | 2 | 1 | 3 | -1 | 7 | €24m | LDWLW |
| 10 |  Hannover 96 | 6 | 2 | 1 | 3 | -2 | 7 | WLDWL | |
| 11 |  VfL Osnabrück | 6 | 2 | 1 | 3 | -3 | 7 | DLWWL | |
| 12 |  SpVgg Greuther Fürth | 6 | 1 | 3 | 2 | -2 | 6 | €12m | DDLWL |
| 13 |  DSC Arminia Bielefeld | 6 | 1 | 2 | 3 | -2 | 5 | €12m | DLDLW |
| 14 |  Karlsruher SC | 6 | 1 | 2 | 3 | -6 | 5 | LLDLD | |
| 15 |  Eintracht Braunschweig | 6 | 1 | 1 | 4 | -1 | 4 | LDLLL | |
| 16 |  Holstein Kiel | 6 | 0 | 4 | 2 | -3 | 4 | €22m | DLDLD |
| 17 |  Dynamo Dresden | 6 | 1 | 1 | 4 | -6 | 4 | LDLLW | |
| 18 |  SV Darmstadt 98 | 6 | 1 | 1 | 4 | -8 | 4 | €35m | LWLLL |
Squad market values are community estimates, updated weekly — sourced as documented on our data page.
2. Bundesliga team stats
BTTS rate by team
| Team | Played | BTTS |
|---|---|---|
| Hannover 96 | 30 | 70% |
| DSC Arminia Bielefeld | 30 | 67% |
| Dynamo Dresden | 30 | 67% |
| Holstein Kiel | 30 | 67% |
| SV Darmstadt 98 | 30 | 67% |
| 1. FC Nürnberg | 30 | 63% |
| Karlsruher SC | 30 | 63% |
| SpVgg Greuther Fürth | 30 | 63% |
| VfL Bochum 1848 | 30 | 63% |
| Hertha BSC | 30 | 60% |
| Eintracht Braunschweig | 30 | 57% |
| 1. FC Magdeburg | 30 | 53% |
| 1. FC Kaiserslautern | 30 | 37% |
Over 2.5 goals rate by team
| Team | Played | Over 2.5 |
|---|---|---|
| Karlsruher SC | 30 | 80% |
| Dynamo Dresden | 30 | 70% |
| Hannover 96 | 30 | 63% |
| SV Darmstadt 98 | 30 | 63% |
| 1. FC Magdeburg | 30 | 60% |
| 1. FC Nürnberg | 30 | 60% |
| DSC Arminia Bielefeld | 30 | 60% |
| Holstein Kiel | 30 | 60% |
| 1. FC Kaiserslautern | 30 | 57% |
| Hertha BSC | 30 | 53% |
| SpVgg Greuther Fürth | 30 | 53% |
| Eintracht Braunschweig | 30 | 47% |
| VfL Bochum 1848 | 30 | 43% |
Expected goals 2026-27
| Team | Played | xG | xGA | xG diff | Goals − xG |
|---|---|---|---|---|---|
| DSC Arminia Bielefeld | 4 | 1.75 | 0.98 | +0.77 | 0.0 |
| VfL Wolfsburg | 4 | 2.45 | 1.70 | +0.75 | +0.2 |
| 1. FC Heidenheim 1846 | 5 | 2.06 | 1.38 | +0.68 | +1.7 |
| Hannover 96 | 4 | 2.06 | 1.44 | +0.63 | −4.3 |
| Hertha BSC | 4 | 1.92 | 1.45 | +0.47 | +4.3 |
| FC St. Pauli 1910 | 4 | 1.66 | 1.41 | +0.25 | −0.6 |
| Eintracht Braunschweig | 5 | 2.16 | 1.92 | +0.24 | +1.2 |
| 1. FC Kaiserslautern | 5 | 1.27 | 1.10 | +0.16 | −1.3 |
| VfL Bochum 1848 | 4 | 1.26 | 1.12 | +0.14 | −2.0 |
| SpVgg Greuther Fürth | 4 | 1.78 | 1.78 | 0.00 | −0.1 |
| 1. FC Nürnberg | 4 | 1.62 | 1.65 | −0.02 | +6.5 |
| Holstein Kiel | 5 | 1.41 | 1.65 | −0.24 | −1.1 |
| Karlsruher SC | 5 | 1.45 | 1.76 | −0.30 | −1.3 |
| Dynamo Dresden | 5 | 1.38 | 1.70 | −0.32 | +0.1 |
| VfL Osnabrück | 4 | 1.50 | 1.92 | −0.43 | +1.0 |
| 1. FC Magdeburg | 5 | 1.16 | 1.79 | −0.63 | +4.2 |
| Energie Cottbus | 5 | 1.98 | 2.83 | −0.84 | +3.1 |
| SV Darmstadt 98 | 4 | 0.76 | 1.74 | −0.98 | −1.0 |
Each club's last 30 2. Bundesliga matches in our dataset, newest first — current season included, sample size shown per club. Historical frequencies, not predictions; the model's per-match probabilities live on the BTTS and over/under 2.5 tips pages. Expected goals are per-game figures over each club's league matches this season that carry xG on both sides; "Goals − xG" is the season total. Provider-recorded statistics, sourced as documented on our data page; the model does not use xG yet.