The competitive cauldron of the 2. Bundesliga roars into Matchweek 11 from November 6 to 8, with critical promotion points and relegation survival on the line. The action kicks off on Friday evening as Eintracht Braunschweig battle FC Energie Cottbus at the Eintracht-Stadion, while SG Dynamo Dresden entertain SpVgg Greuther Fürth in front of their passionate home support. Saturday amplifies the drama across the division, featuring Hertha BSC taking on VfL Wolfsburg in the capital, alongside traditional heavyweights 1. FC Nürnberg locking horns with SV Darmstadt 98, Holstein Kiel meeting Arminia Bielefeld, and VfL Osnabrück hosting 1. FC Kaiserslautern.

Sunday’s closing fixtures promise further twists in the table as 1. FC Heidenheim square off against Hannover 96 at the Voith-Arena, while 1. FC Magdeburg welcome FC St. Pauli in an electric atmosphere. With extraordinary parity across Germany’s second tier where any side can topple another, granular analytics make all the difference. Tap into our proprietary AI algorithms, match simulations, and performance metrics to uncover value and sharp insights across every 2. Bundesliga fixture.

1X2 Match Projections

We let our algorithms crunch the numbers, dig into recent team stats, and do the heavy lifting so you don’t have to! Here is our 1X2 outlook for 2. Bundesliga at a glance.

Full Time Results and Asian Handicap

In the table below you will find our AI prediccions for 2. Bundesliga round 11. Asian refers to the recomended asian handicap line.

Both Teams to Score

BTS (Both Teams to Score) is a popular betting market in sports, especially in soccer. In a BTS bet, you’re wagering on whether both teams in a match will score at least one goal each. The table below shows the BTS stats for the home team at home and the away team away.

Totals

The table below shows the goal averages for each encounter based on home teams average performance (goals scored and conceded) at home, and away teams average performance away. We use poisson distribution to calculate probabilities for over and under 2.5 goal. For your convienence we have converted the probabilities to decimal odds.

First Half Goals

The table below shows estimated first-half goal probabilities using Poisson distribution. HT Avg is the expected number of goals before half-time. O/U 0.5 FH and O/U 1.5 FH are the corresponding over/under odds for the first half.

Early Goals (First 15 Minutes)

The table below shows the probability of a goal being scored in the first 15 minutes. EG Home/Away (%) is the historical frequency across all matches for each team. Poisson ≥1 (%) is the model-estimated probability of at least one early goal in this fixture.

Corners Over/Under 9.5

The table below shows the predicted corner totals for each fixture using strength-of-schedule adjusted ratings. Corner Avg is the expected total corners. +9.5 and -9.5 odds are the model-estimated decimal odds for over and under 9.5 total corners.

We also have calculated the average goals scored and conceded for the teams. See the table below.

Correct Score Predictions

These projections are generated using advanced statistical models that evaluate team strength, expected‑goals data, and historical scoring patterns. The table below highlights the most probable scorelines based on current performance indicators and model‑driven probability weighting.