Akte VfB Stuttgart
DE
Intelligence

VfB Stuttgart

Prediction Intelligence
VfB Stuttgart

Live data for professional portfolio management, trading and predictions.

Position
3.
Points
56
Goal diff
+22
Next match
Bayern vs Stuttgart
Akte Stuttgart — Club-Dossier VfB Stuttgart
Intelligence
Deutsch
At a glance

Stuttgart sit 3th after matchday 30 with 56 points (17W 5D 7L, goal diff +22). Last 5 form: DWWLW (10/15 pts). Next opponent: Bayern (1th).

Bundesliga Table

Bundesliga table matchday 30
# Club P W D L GF GA GD Pts
1 Bayern 29 24 4 1 105 27 +78 76
2 BVB 29 19 7 3 60 29 +31 64
3 Stuttgart 29 17 5 7 60 38 +22 56
4 Leipzig 29 17 5 7 56 36 +20 56
5 Leverkusen 29 15 7 7 59 39 +20 52
6 Hoffenheim 29 15 6 8 57 43 +14 51
7 Eintracht 29 11 9 9 54 54 0 42
8 Freiburg 29 11 7 11 42 47 -5 40
9 Mainz 29 8 9 12 35 44 -9 33
10 Augsburg 29 9 6 14 36 53 -17 33
11 Union 29 8 8 13 33 50 -17 32
12 Koeln 30 7 10 13 44 51 -7 31
13 HSV 29 7 10 12 32 45 -13 31
14 Gladbach 29 7 9 13 35 49 -14 30
15 Werder 29 7 7 15 32 52 -20 28
16 St. Pauli 30 6 8 16 26 51 -25 26
17 Wolfsburg 29 5 6 18 39 65 -26 21
18 Heidenheim 29 4 7 18 32 64 -32 19

Top Scorers

Bundesliga Top Scorers Season 25646

  1. 1
    Harry Kane
    Harry Kane
    Bayern · 32
    31 Goals
  2. 2
    Deniz Undav
    Deniz Undav
    Stuttgart · 29
    18 Goals
  3. 3
    Luis Díaz
    Luis Díaz
    Bayern · 29
    15 Goals
  4. 4
    Serhou Guirassy
    Serhou Guirassy
    BVB · 30
    13 Goals
  5. 5
    Michael Olise
    Michael Olise
    Bayern · 24
    12 Goals
# Player Club Goals
6 Christoph Baumgartner Leipzig 12
7 Yan Diomande Leipzig 11
8 Said El Mala Koeln 11
9 Haris Tabakovic Gladbach 11
10 Andrej Kramaric Hoffenheim 10

Pinnacle Oracle

Bayern Stuttgart
Home 1.42
Draw 5.65
Away 6.29
Source: Pinnacle Updated:
Bayern Stuttgart
-- Days
-- Hrs
-- Min
Kickoff
Venue
Competition
Bundesliga

Form & Momentum

Stuttgart — Form & Home/Away

Last 5
DWWLW
Home
35 Pts
Record: 11-2-2 Goals: 26:14
Away
21 Pts
Record: 6-3-5 Goals: 34:24

Last result: Win. Last 5 form: D-W-W-L-W.

The form of the last five matches is the most important leading indicator for short-term bets. A team on a three-match win streak is significantly underpriced when the odds movement hasn't yet caught up with the momentum. The Pinnacle Oracle weights this form at roughly 30 percent against table position (40 percent), home/away splits (20 percent) and opponent strength (10 percent).

Assists & Card Ranking

Bundesliga Top Assists

  1. 1
    Michael Olise
    Michael Olise
    Bayern · 24
    18 Assists
  2. 2
    Julian Ryerson
    Julian Ryerson
    BVB · 28
    13 Assists
  3. 3
    Luis Díaz
    Luis Díaz
    Bayern · 29
    11 Assists
  4. 4
    Farès Chaïbi
    Farès Chaïbi
    Eintracht · 23
    9 Assists
  5. 5
    Christoph Baumgartner
    Christoph Baumgartner
    Leipzig · 26
    8 Assists
# Player Club Assists
6 Andrej Ilic Union 8
7 Bazoumana Touré Hoffenheim 8
8 Jamie Leweling Stuttgart 8
9 Alejandro Grimaldo Leverkusen 7
10 Fisnik Asllani Hoffenheim 7

Bundesliga Card Ranking (Yellow + Red×3)

  1. 1
    Dominik Kohr
    Dominik Kohr
    Mainz · 32
    8 2
  2. 2
    Eric Martel
    Eric Martel
    Koeln · 23
    10 1
  3. 3
    Niklas Stark
    Niklas Stark
    Werder · 31
    6 2
  4. 4
    Marco Friedl
    Marco Friedl
    Werder · 28
    8 1
  5. 5
    Johan Manzambi
    Johan Manzambi
    Freiburg · 20
    4 2
# Player Club Y R Total
6 Moritz Jenz Wolfsburg 7 1 8
7 Rocco Reitz Gladbach 7 1 8
8 Nicolai Remberg HSV 10 0 10
9 Fábio Vieira HSV 3 2 5
10 Miro Muheim HSV 6 1 7

Statistical Splits BETA

What actually moves Bayern's result — and what's myth. Bootstrap confidence intervals from 63 matches of the Kompany-Ära.

Split Group A Group B Δ ppg 95% CI p-value Significance
Home games vs. away games Home 1.81 ppg · n=32 Away 1.55 ppg · n=31 +0.27 [-0.40, 0.93] 0.43 ⚪
Versus top-6 opponents vs. rest of the league Vs top 6 1.35 ppg · n=17 Vs rest 1.80 ppg · n=46 -0.45 [-1.17, 0.28] 0.22 🟡
With vs. without Alexander Nübel in the starting XI With Alexander Nübel 1.68 ppg · n=63 Without Alexander Nübel 0.00 ppg · n=0 +1.68 — — ⬜
With vs. without Angelo Stiller in the starting XI With Angelo Stiller 1.57 ppg · n=56 Without Angelo Stiller 2.57 ppg · n=7 -1.00 [-1.70, -0.04] 0.04 🟡
With vs. without Atakan Karazor in the starting XI With Atakan Karazor 1.69 ppg · n=51 Without Atakan Karazor 1.67 ppg · n=12 +0.02 [-0.82, 0.89] 0.97 🟡
With vs. without Julian Chabot in the starting XI With Julian Chabot 1.69 ppg · n=49 Without Julian Chabot 1.64 ppg · n=14 +0.05 [-0.77, 0.87] 0.92 🟡
With vs. without Maximilian Mittelstädt in the starting XI With Maximilian Mittelstädt 1.55 ppg · n=49 Without Maximilian Mittelstädt 2.14 ppg · n=14 -0.59 [-1.36, 0.24] 0.16 🟡
Heavy week (after UCL/intl. break) vs. normal week Heavy week 0.00 ppg · n=0 Normal week 1.68 ppg · n=63 -1.68 — — ⬜
After UCL midweek vs. without UCL before After UCL 0.00 ppg · n=0 No UCL 1.68 ppg · n=63 -1.68 — — ⬜
Full strength (0 absences) vs. 2+ key-player absences 0 absences 1.29 ppg · n=28 2+ absences 1.88 ppg · n=8 -0.59 [-1.66, 0.55] 0.32 🟡

Reading: 🟢 statistically significant · 🟡 indicative (sample or effect too small) · ⚪ no effect detectable · ⬜ untested

ppg = points per game (3 for a win, 1 for a draw, 0 for a loss). Δ ppg = difference in ppg between the two groups. 95% CI = bootstrap confidence interval (10,000 resamples). p-value < 0.05 = statistically significant at n ≥ 20.

Methodology: Single-Regime-Analyse (nur Kompany-Ära). xG fehlt im Plan und ist nicht enthalten. Bootstrap-CIs statt parametrischer Tests.
Not in dataset: xG, PPDA, Distance Covered

Myth Check BETA

What fans believe — and what the data says. Every myth is tested against real match data.

Indicative

"Bayern struggles against top-6 opponents"

Gegen Top 6: 1.353 ppg · gegen Rest: 1.804 ppg (Δ -0.451).

Prediction relevance: Top-6-Gegner haben keinen messbaren Sondereffekt.

Untested

"Midweek UCL games cost points"

Indikativ: Nach CL 0 ppg, ohne CL 1.683 ppg.

Prediction relevance: Kein klares Adjustment.

Refuted

"Home games are different"

Heim: 1.813 ppg · Auswärts: 1.548 ppg (Δ 0.265).

Prediction relevance: Heimvorteil ist nicht überdurchschnittlich.

Data Analysis

Auto-Generated Variante G · Spieltag 30

Attack ranking: Stuttgart have 60 goals in 29 games (2.07 per game). Best attack in league: Bayern (105). Defence: Stuttgart with 38 goals against (1.31 per game). Best defence: Bayern (27).

This analysis rotates with every matchday through eight data-driven templates: league leadership, relegation battle, Champions League race, home/away splits, form trends, attack/defence, factual summary and overall view. Every statement is grounded in SportsMonks and Pinnacle data — no speculation, no hallucination.

What the data doesn't say

Table, form and odds show the status quo. They say nothing about whether a coach is on the verge of being sacked, a key player is injured, or the board is internally under pressure. This is exactly where the Predictions page comes in: there season markets (Polymarket), transfer rumours and schedule strength feed into the assessment — factors that don't show up in any standard statistic.

The VfB Stuttgart File in turn provides the historical context: which crises has the club survived, which not. Anyone moving money on Bundesliga markets needs all three layers — hard stats, forward markets and institutional memory.

Frequently Asked

Where do Stuttgart currently stand?
3th with 56 points after matchday 30 (17W 5D 7L, goal diff +22).
Who is Stuttgart's next opponent?
Bayern, kickoff on 2026-04-19.
Who is the Bundesliga top scorer?
Harry Kane (Bayern) with 31 goals in the 25646 season.
Will Stuttgart be relegated?
Stuttgart are currently 30 points clear of the relegation places.

Related

The data shows the status quo. What does this mean for the season?