Free football predictions and tips for Germany 2. Bundesliga

There are no upcoming events in Germany 2. Bundesliga for the next 4 days.

Best and Worst Teams Wins

Germany
  • More Wins
Hertha BSC
2
1. FC Nürnberg
2
VfL Wolfsburg
1
VfL Bochum
1
Karlsruher SC
1
Germany
  • Less Wins
1. FC Kaiserslautern
0
FC St. Pauli
0
Hannover 96
0
Holstein Kiel
0
SV Darmstadt 98
0

Best and Worst Teams Draws

Germany
  • More Draws
Holstein Kiel
2
FC St. Pauli
2
1. FC Kaiserslautern
2
VfL Wolfsburg
1
SpVgg Greuther Fürth
1
Germany
  • Less Draws
1. FC Heidenheim
0
1. FC Magdeburg
0
1. FC Nürnberg
0
Arminia Bielefeld
0
Dynamo Dresden
0

Best and Worst Teams Losses

Germany
  • More Losses
VfL Osnabrück
2
Hannover 96
2
VfL Bochum
1
SpVgg Greuther Fürth
1
SV Darmstadt 98
1
Germany
  • Less Losses
1. FC Kaiserslautern
0
1. FC Nürnberg
0
FC St. Pauli
0
Hertha BSC
0
Holstein Kiel
0

Best and Worst Attacking Teams

Germany
  • Best Attacking Teams
1. FC Nürnberg
7
Eintracht Braunschweig
6
Hertha BSC
5
1. FC Heidenheim
5
Holstein Kiel
4
Germany
  • Worst Attacking Teams
1. FC Kaiserslautern
0
Dynamo Dresden
1
Hannover 96
1
VfL Bochum
1
VfL Wolfsburg
1

Best and Worst Defending Teams

Germany
  • Best Defending Teams
1. FC Kaiserslautern
0
VfL Wolfsburg
0
Hertha BSC
1
Karlsruher SC
1
VfL Bochum
1
Germany
  • Worst Defending Teams
VfL Osnabrück
7
1. FC Heidenheim
7
1. FC Magdeburg
6
SpVgg Greuther Fürth
5
Holstein Kiel
4

Germany 2. Bundesliga Last Results and Predictions

Germany 2. Bundesliga Standings

# Name P W D L Goals Last 5 Pts
1
1. FC Nürnberg
2 2 0 0 7:2
WW
6
2
Hertha BSC
2 2 0 0 5:1
WW
6
3
Karlsruher SC
2 1 1 0 2:1
DW
4
4
VfL Wolfsburg
2 1 1 0 1:0
WD
4
5
Eintracht Braunschweig
2 1 0 1 6:2
LW
3
6
Arminia Bielefeld
2 1 0 1 4:2
WL
3
7
VfL Bochum
2 1 0 1 1:1
WL
3
8
Energie Cottbus
2 1 0 1 3:4
LW
3
9
1. FC Heidenheim
2 1 0 1 5:7
LW
3
10
1. FC Magdeburg
2 1 0 1 4:6
WL
3
11
Dynamo Dresden
2 1 0 1 1:3
WL
3
12
Holstein Kiel
2 0 2 0 4:4
DD
2
13
FC St. Pauli
2 0 2 0 3:3
DD
2
14
1. FC Kaiserslautern
2 0 2 0 0:0
DD
2
15
SV Darmstadt 98
2 0 1 1 2:3
LD
1
16
SpVgg Greuther Fürth
2 0 1 1 3:5
LD
1
17
Hannover 96
2 0 0 2 1:4
LL
0
18
VfL Osnabrück
2 0 0 2 3:7
LL
0

When are the Germany 2. Bundesliga Predictions available?

You can track down our 2. Bundesliga tips and predictions on this page, predictions are posted 4 days before any 2. Bundesliga event. Using artificial intelligence on football predictions help users predict outcomes for a event.

The goal of our Germany 2. Bundesliga Predictions?

The objective is give most-precise forecast while being totally straightforward in doing as such. We firmly trust that having the right tool here in our daily football predictions the expectations can have a massive effect between 2. Bundesliga fans and punters.
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If Alonso is not good enough for Real, then who is?

Philipp Lahm has come to the defense of his former teammate Xabi Alonso. The Basque was dismissed earlier this year by Real Madrid, and Lahm sees the coaching job at Los Blancos as the ultimate challenge in world football.

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Machine learning vs human intuition in match forecasting

Compare machine learning and human intuition in match forecasting, examining strengths, blind spots, and why a hybrid approach often delivers the most dependable predictions.

Liverpool confirm Alexander Isak suffers broken leg and undergoes surgery

Liverpool confirm Alexander Isak suffers broken leg and undergoes surgery

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How to use Elo ratings for football predictions

A practical guide to using Elo ratings in football predictions, from team strength and home advantage to draw probability, league adjustments, and model improvement.

The best data sources for AI soccer predictions

The best data sources for AI soccer predictions

A practical guide to the best data sources for AI soccer predictions, covering event data, tracking data, odds, injuries, and open datasets, plus how to choose, validate, and combine them.

Over and under goals: how AI predicts goal totals

Over and under goals: how AI predicts goal totals

Learn how AI predicts over and under goals by estimating expected goals, tempo, team styles, and variance, then converting them into calibrated probabilities for total goals markets.

Odd:1.38