Statistics / Football / Germany. 2. Bundesliga

Germany Germany 2. Bundesliga Statistics (30)

Predictions

2. Bundesliga 2025/26 Season Overview

08-01
100%
05-17
  • League goals trend: Average goals per match 2.93
  • Home win rate: About 46%
  • Away win rate: About 29%
  • BTTS rate (both teams to score): About 59%
  • Over 2.5 average hit rate: About 58%
  • Most attacking teams: SV Elversberg
  • Best defensive teams: FC Schalke 04
Germany Germany. 2. Bundesliga (30)
xG Accuracy
May 17
13:30
SpVgg Greuther Fürth SpVgg Greuther Fürth
3 1.52 0 1.12
Fortuna Düsseldorf Fortuna Düsseldorf
49%
May 17
13:30
Arminia Bielefeld Arminia Bielefeld
6 1.39 1 1.19
Hertha BSC Hertha BSC
27%
May 17
13:30
Hannover 96 Hannover 96
3 1.46 3 1.12
1. FC Nürnberg 1. FC Nürnberg
39%
May 17
13:30
FC Schalke 04 FC Schalke 04
1 1.90 0 0.67
Eintracht Braunschweig Eintracht Braunschweig
65%
May 17
13:30
Karlsruher SC Karlsruher SC
1 1.60 2 1.33
VfL Bochum VfL Bochum
70%
May 17
13:30
1. FC Magdeburg 1. FC Magdeburg
0 1.62 1 1.10
1. FC Kaiserslautern 1. FC Kaiserslautern
62%
May 17
13:30
SV Darmstadt 98 SV Darmstadt 98
0 1.57 2 1.92
SC Paderborn 07 SC Paderborn 07
64%
May 17
13:30
Dynamo Dresden Dynamo Dresden
2 1.57 1 0.92
Holstein Kiel Holstein Kiel
87%
May 17
13:30
SV Elversberg SV Elversberg
3 2.40 0 0.78
Preußen Münster Preußen Münster
68%
May 10
11:30
Fortuna Düsseldorf Fortuna Düsseldorf
3 1.05 1 1.38
SV Elversberg SV Elversberg
53%
May 10
11:30
Hertha BSC Hertha BSC
2 1.93 1 1.08
SpVgg Greuther Fürth SpVgg Greuther Fürth
96%
May 10
11:30
Preußen Münster Preußen Münster
1 1.55 1 1.44
SV Darmstadt 98 SV Darmstadt 98
76%
May 09
18:30
1. FC Nürnberg 1. FC Nürnberg
3 1.21 0 1.39
FC Schalke 04 FC Schalke 04
42%
May 09
11:00
VfL Bochum VfL Bochum
1 1.37 1 1.24
Hannover 96 Hannover 96
85%
May 09
11:00
Holstein Kiel Holstein Kiel
1 1.39 3 1.42
1. FC Magdeburg 1. FC Magdeburg
58%
May 09
11:00
Eintracht Braunschweig Eintracht Braunschweig
2 1.15 1 1.19
Dynamo Dresden Dynamo Dresden
75%
May 08
16:30
SC Paderborn 07 SC Paderborn 07
2 2.28 2 0.98
Karlsruher SC Karlsruher SC
70%
May 08
16:30
1. FC Kaiserslautern 1. FC Kaiserslautern
2 1.66 0 1.38
Arminia Bielefeld Arminia Bielefeld
62%
May 03
11:30
1. FC Magdeburg 1. FC Magdeburg
1 1.50 0 1.39
Hertha BSC Hertha BSC
60%
May 03
11:30
Hannover 96 Hannover 96
3 1.77 3 0.86
Preußen Münster Preußen Münster
40%
May 03
11:30
SpVgg Greuther Fürth SpVgg Greuther Fürth
1 1.30 1 1.44
1. FC Nürnberg 1. FC Nürnberg
82%
May 03
11:30
Karlsruher SC Karlsruher SC
2 1.69 1 1.48
SV Darmstadt 98 SV Darmstadt 98
80%
May 03
11:30
SV Elversberg SV Elversberg
5 1.59 1 1.13
SC Paderborn 07 SC Paderborn 07
38%
May 02
18:30
FC Schalke 04 FC Schalke 04
1 1.96 0 0.83
Fortuna Düsseldorf Fortuna Düsseldorf
61%
May 02
11:00
Arminia Bielefeld Arminia Bielefeld
1 1.74 1 1.27
VfL Bochum VfL Bochum
76%
May 02
11:00
Dynamo Dresden Dynamo Dresden
1 1.57 0 1.23
1. FC Kaiserslautern 1. FC Kaiserslautern
61%
May 02
11:00
Holstein Kiel Holstein Kiel
2 1.35 0 1.06
Eintracht Braunschweig Eintracht Braunschweig
62%
Apr 26
11:30
1. FC Nürnberg 1. FC Nürnberg
1 1.57 0 1.54
1. FC Magdeburg 1. FC Magdeburg
56%
Apr 26
11:30
SC Paderborn 07 SC Paderborn 07
2 1.49 3 1.30
FC Schalke 04 FC Schalke 04
54%
Apr 26
11:30
VfL Bochum VfL Bochum
2 1.80 1 1.02
SpVgg Greuther Fürth SpVgg Greuther Fürth
94%

Germany 2. Bundesliga Betting & Prediction Guides

Want to understand how AI identifies value in Germany 2. Bundesliga matches? Explore our strategy guides:

2. Bundesliga Predictions FAQ

Q1: How does the probability structure and frequency of upsets in the Germany 2. Bundesliga 2025/26 compare to other major European divisions? ▼
Germany 2. Bundesliga in 2025/26 presents a more volatile landscape than typical top-flight competitions, defined by a significant 16% gap between home and away success. While a 46% home win rate suggests dominance, the 30% away win rate is remarkably high compared to more conservative leagues. This volatility often produces frequent upsets, as mid-table sides frequently topple favorites when traveling, disrupting traditional hierarchy.

Because probability never equates to certainty, identifying these shifts requires looking beyond the surface. Analytical models must account for this 16% performance delta, where home advantage is potent but not insurmountable. Successful forecasting depends on long-term EV and disciplined risk management, as the league's competitive parity often defies the narrow odds assigned to heavy favorites.
Q2: What defines the Over/Under and BTTS structure specific to the Germany 2. Bundesliga during the 2025/26 season? ▼
The 2025/26 Germany 2. Bundesliga is structurally more explosive than most European second tiers, averaging a high 2.91 goals per game. With Over 2.5 landing at 59%, this is one of the most balanced goal markets in professional football, where high-scoring outcomes are the statistical norm rather than the exception. This offensive tilt is mirrored in the 58% BTTS rate, indicating that clean sheets are rare commodities in this environment.

This scoring profile forces a recalibration of defensive expectations. Unlike lower-scoring leagues where one goal often decides the match, the 2. Bundesliga's 59% Over 2.5 frequency suggests that matches remain live until the final whistle. However, risk management remains essential; while the data favors goals, consistent results depend on understanding that past scoring trends do not guarantee future outcomes.
Q3: How does the specific data profile of the Germany 2. Bundesliga 2025/26 shape the odds structure and where can analytical models find edges? ▼
Because this league features a high 58% BTTS rate and 2.91 goals per game, odds on "No" outcomes and Under 2.5 are often inflated, creating specific opportunities for contrarian analysis. The 16% gap between home and away wins also exerts a unique pressure on the odds structure. This strong home bias often causes away prices to drift higher than their true 30% probability suggests, particularly for top-half travelers.

These skewed lines mean that analytical edges are found by identifying where the market overcompensates for the league's high-scoring reputation. While the 59% Over 2.5 rate is a dominant trend, risk management is vital to navigate the variance inherent in such an attacking league. Success involves finding value where the 16% home-away delta is misapplied to specific tactical matchups.
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