AI Football Tips: 2. Bundesliga round 9

The ferocious competition, rich tradition, and deafening fan culture of German football return to center stage as the 2. Bundesliga rolls into an electric Matchday 9 over the weekend of October 23–25. As the autumn campaign gathers serious momentum, the grueling race for promotion to the top tier is beginning to separate the genuine contenders from the chasing pack. With storied giants and ambitious challengers fighting for every blade of grass, no lead is ever secure in one of Europe’s most unpredictable divisions.

Sunday’s schedule is headlined by one of the most intense and hostile rivalries in German sports, as Eintracht Braunschweig locks horns with arch-rivals Hannover 96 in an explosive edition of the Niedersachsenderby. Saturday delivers monumental theater of its own with a legendary Traditionsduell at the Max-Morlock-Stadion between historic titans 1. FC Nürnberg and 1. FC Kaiserslautern, while Hertha BSC welcomes Arminia Bielefeld to the Olympiastadion Berlin. The action kicks off on Friday night with a high-stakes duel between VfL Bochum and VfL Wolfsburg, alongside SV Darmstadt 98 meeting FC St. Pauli, and Sunday’s clash featuring Holstein Kiel against SG Dynamo Dresden. Explore our advanced AI-driven match predictions, detailed team statistics, and data analytics for every electrifying encounter in this thrilling 2. Bundesliga round.

Full Time Results and Asian Handicap

In the table below you will find our AI prediccions for 2. Bundesliga round 9. Asian refers to the recomended asian handicap line.

Date League Home Team Away Team P(H) P(D) P(A) Prediction Asian
2026-10-23 2. Bundesliga Darmstadt 98 St. Pauli 0.3003 0.3322 0.3675 A -0.25
2026-10-23 2. Bundesliga Bochum Wolfsburg 0.3314 0.3333 0.3353 A 1X2
2026-10-24 2. Bundesliga Heidenheim Energie Cottbus 0.3377 0.3333 0.3290 H 1X2
2026-10-24 2. Bundesliga Magdeburg Karlsruher SC 0.3303 0.3333 0.3364 A +0.5
2026-10-24 2. Bundesliga Hertha BSC Arminia Bielefeld 0.3552 0.3329 0.3119 H 1X2
2026-10-24 2. Bundesliga Nürnberg Kaiserslautern 0.3488 0.3331 0.3181 H 1X2
2026-10-25 2. Bundesliga Holstein Kiel Dynamo Dresden 0.3421 0.3333 0.3246 H 1X2
2026-10-25 2. Bundesliga Eintracht Braunschweig Hannover 96 0.3481 0.3331 0.3188 H 0
2026-10-25 2. Bundesliga Osnabrück Greuther Fürth 0.3211 0.3332 0.3457 A 0

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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.

Date Home Team Away Team BTS Home (%) BTS Away (%) BTS Target BTS No Target
2026-10-23 Darmstadt 98 St. Pauli 75 100 1.47 3.12
2026-10-23 Bochum Wolfsburg 25 50 2.06 1.94
2026-10-24 Heidenheim Energie Cottbus 50 50 2.03 1.97
2026-10-24 Magdeburg Karlsruher SC 25 33 1.52 2.94
2026-10-24 Hertha BSC Arminia Bielefeld 100 75 1.56 2.79
2026-10-24 Nürnberg Kaiserslautern 75 25 1.36 3.76
2026-10-25 Holstein Kiel Dynamo Dresden 75 75 1.94 2.07
2026-10-25 Eintracht Braunschweig Hannover 96 50 50 2.11 1.90
2026-10-25 Osnabrück Greuther Fürth 75 100 2.42 1.71

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.

Date League Home Team Away Team +2.5 target odds -2.5 target odds
2026-10-23 2. Bundesliga Darmstadt 98 St. Pauli 1.99 2.01
2026-10-23 2. Bundesliga Bochum Wolfsburg 2.99 1.50
2026-10-24 2. Bundesliga Heidenheim Energie Cottbus 2.16 1.86
2026-10-24 2. Bundesliga Magdeburg Karlsruher SC 1.28 4.59
2026-10-24 2. Bundesliga Hertha BSC Arminia Bielefeld 1.33 3.99
2026-10-24 2. Bundesliga Nürnberg Kaiserslautern 1.21 5.65
2026-10-25 2. Bundesliga Holstein Kiel Dynamo Dresden 1.97 2.03
2026-10-25 2. Bundesliga Eintracht Braunschweig Hannover 96 1.60 2.68
2026-10-25 2. Bundesliga Osnabrück Greuther Fürth 3.21 1.45

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.

Home Team Away Team HT Avg O 0.5 FH U 0.5 FH O 1.5 FH U 1.5 FH
Darmstadt 98 St. Pauli 1.55 1.27 4.69 2.19 1.84
Bochum Wolfsburg 1.31 1.37 3.70 2.66 1.60
Heidenheim Energie Cottbus 1.51 1.29 4.50 2.25 1.80
Magdeburg Karlsruher SC 1.89 1.18 6.63 1.77 2.29
Hertha BSC Arminia Bielefeld 1.28 1.38 3.60 2.73 1.58
Nürnberg Kaiserslautern 1.46 1.30 4.32 2.33 1.75
Holstein Kiel Dynamo Dresden 1.30 1.38 3.66 2.69 1.59
Eintracht Braunschweig Hannover 96 1.90 1.18 6.68 1.77 2.30
Osnabrück Greuther Fürth 0.97 1.61 2.64 3.95 1.34

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.

Home Team Away Team EG Home (%) EG Away (%) Poisson ≥1 (%)
Darmstadt 98 St. Pauli 75.0 12.5 19.0
Bochum Wolfsburg 25.0 62.5 29.6
Heidenheim Energie Cottbus 62.5 50.0 50.5
Magdeburg Karlsruher SC 75.0 25.0 34.4
Hertha BSC Arminia Bielefeld 50.0 50.0 43.0
Nürnberg Kaiserslautern 50.0 12.5 13.1
Holstein Kiel Dynamo Dresden 25.0 75.0 34.4
Eintracht Braunschweig Hannover 96 50.0 37.5 34.4
Osnabrück Greuther Fürth 25.0 37.5 19.0

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.

Home Team Away Team Corner Avg +9.5 odds -9.5 odds
Darmstadt 98 St. Pauli 10.93 1.57 2.75
Bochum Wolfsburg 11.69 1.40 3.47
Heidenheim Energie Cottbus 14.58 1.11 9.99
Magdeburg Karlsruher SC 11.43 1.45 3.20
Hertha BSC Arminia Bielefeld 12.24 1.32 4.15
Nürnberg Kaiserslautern 10.41 1.72 2.39
Holstein Kiel Dynamo Dresden 11.13 1.52 2.92
Eintracht Braunschweig Hannover 96 10.84 1.59 2.69
Osnabrück Greuther Fürth 12.81 1.25 5.05

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

Team Home Goals Home Conceded Away Goals Away Conceded
Wolfsburg 3.00 1.50 2.50 1.75
Nürnberg 3.25 1.50 2.00 1.25
Hertha BSC 2.67 1.00 2.20 1.00
Energie Cottbus 2.00 1.75 2.00 2.50
Heidenheim 2.50 1.50 1.25 2.25
Magdeburg 2.25 1.50 1.25 1.25
Eintracht Braunschweig 1.50 2.00 1.75 1.75
Arminia Bielefeld 2.25 1.25 1.00 2.00
Greuther Fürth 1.25 1.50 1.75 1.75
Dynamo Dresden 1.25 1.00 1.50 2.75
Osnabrück 1.25 2.00 1.50 1.75
St. Pauli 1.25 0.75 1.50 1.50
Karlsruher SC 1.60 2.00 0.67 1.33
Hannover 96 1.25 1.25 0.75 2.00
Kaiserslautern 1.50 0.00 0.50 1.00
Darmstadt 98 1.75 1.25 0.25 3.25
Holstein Kiel 1.25 1.25 0.50 1.50
Bochum 0.25 1.00 1.00 1.25

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.

Date League Home Team Away Team Home Score Away Score Score Prob (%)
2026-10-23 2. Bundesliga Darmstadt 98 St. Pauli 1 1 14.2
2026-10-23 2. Bundesliga Bochum Wolfsburg 0 1 17.5
2026-10-24 2. Bundesliga Heidenheim Energie Cottbus 1 1 14.2
2026-10-24 2. Bundesliga Magdeburg Karlsruher SC 2 1 7.9
2026-10-24 2. Bundesliga Hertha BSC Arminia Bielefeld 1 1 8.9
2026-10-24 2. Bundesliga Nürnberg Kaiserslautern 2 1 7.0
2026-10-25 2. Bundesliga Holstein Kiel Dynamo Dresden 1 1 13.7
2026-10-25 2. Bundesliga Eintracht Braunschweig Hannover 96 2 1 9.6
2026-10-25 2. Bundesliga Osnabrück Greuther Fürth 1 0 29.3


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