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Hamburger SV

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Hamburger SV

Live data for professional portfolio management, trading and predictions.

Position
13.
Points
38
Goal diff
-14
Akte HSV — Club-Dossier Hamburger SV
Intelligence
Deutsch
At a glance

HSV sit 13th after matchday 34 with 38 points (9W 11D 14L, goal diff -14). Last 5 form: LLWWD (7/15 pts).

Bundesliga Table

Bundesliga table matchday 34
# Club P W D L GF GA GD Pts
1 Bayern 34 28 5 1 122 36 +86 89
2 BVB 34 22 7 5 70 34 +36 73
3 Leipzig 34 20 5 9 66 47 +19 65
4 Stuttgart 34 18 8 8 71 49 +22 62
5 Hoffenheim 34 18 7 9 65 52 +13 61
6 Leverkusen 34 17 8 9 68 47 +21 59
7 Freiburg 34 13 8 13 51 57 -6 47
8 Eintracht 34 11 11 12 61 65 -4 44
9 Augsburg 34 12 7 15 45 61 -16 43
10 Mainz 34 10 10 14 44 53 -9 40
11 Union 34 10 9 15 44 58 -14 39
12 Gladbach 34 9 11 14 42 53 -11 38
13 HSV 34 9 11 14 40 54 -14 38
14 Koeln 34 7 11 16 49 63 -14 32
15 Werder 34 8 8 18 37 60 -23 32
16 Wolfsburg 34 7 8 19 45 69 -24 29
17 Heidenheim 34 6 8 20 41 72 -31 26
18 St. Pauli 34 6 8 20 29 60 -31 26

Top Scorers

Bundesliga Top Scorers Season 25646

  1. 1
    Harry Kane 
    Harry Kane 
    Bayern · 32
    36 Goals
  2. 2
    Deniz Undav
    Deniz Undav
    Stuttgart · 29
    19 Goals
  3. 3
    Serhou Guirassy
    Serhou Guirassy
    BVB · 30
    17 Goals
  4. 4
    Patrik Schick
    Patrik Schick
    Leverkusen · 30
    16 Goals
  5. 5
    Michael Olise
    Michael Olise
    Bayern · 24
    15 Goals
# Player Club Goals
6 Luis Díaz Bayern 15
7 Andrej Kramaric Hoffenheim 14
8 Christoph Baumgartner Leipzig 13
9 Said El Mala Koeln 13
10 Haris Tabakovic Gladbach 13

Pinnacle Oracle

Form & Momentum

HSV — Form & Home/Away

Last 5
LLWWD
Home
24 Pts
Record: 6-6-5 Goals: 25:22
Away
14 Pts
Record: 3-5-9 Goals: 15:32

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

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
    19 Assists
  2. 2
    Julian Ryerson
    Julian Ryerson
    BVB · 28
    16 Assists
  3. 3
    Luis Díaz
    Luis Díaz
    Bayern · 29
    14 Assists
  4. 4
    Jamie Leweling
    Jamie Leweling
    Stuttgart · 25
    10 Assists
  5. 5
    Andrej Ilic
    Andrej Ilic
    Union · 26
    10 Assists
# Player Club Assists
6 Farès Chaïbi Eintracht 9
7 Christian Eriksen Wolfsburg 9
8 Bazoumana Touré Hoffenheim 9
9 Konrad Laimer Bayern 9
10 Joshua Kimmich  Bayern 9

Bundesliga Card Ranking (Yellow + Red×3)

  1. 1
    Dominik Kohr
    Dominik Kohr
    Mainz · 32
    10 2
  2. 2
    Eric Martel
    Eric Martel
    Koeln · 24
    11 1
  3. 3
    Niklas Stark
    Niklas Stark
    Werder · 31
    6 2
  4. 4
    Marco Friedl
    Marco Friedl
    Werder · 28
    9 1
  5. 5
    Rocco Reitz
    Rocco Reitz
    Gladbach · 24
    8 1
# Player Club Y R Total
6 Nicolai Remberg HSV 11 0 11
7 Johan Manzambi Freiburg 4 2 6
8 Miro Muheim HSV 7 1 8
9 Moritz Jenz Wolfsburg 7 1 8
10 Wouter Burger Hoffenheim 7 1 8

Statistical Splits BETA

What actually moves Bayern's result — and what's myth. Bootstrap confidence intervals from 34 matches of the Kompany-Ära.

Split Group A Group B Δ ppg 95% CI p-value Significance
Home games vs. away games Home 1.41 ppg · n=17 Away 0.82 ppg · n=17 +0.59 [-0.23, 1.35] 0.17 🟡
Versus top-6 opponents vs. rest of the league Vs top 6 0.50 ppg · n=12 Vs rest 1.46 ppg · n=22 -0.95 [-1.62, -0.21] 0.01 🟡
With vs. without Daniel Heuer Fernandes in the starting XI With Daniel Heuer Fernandes 1.12 ppg · n=33 Without Daniel Heuer Fernandes 1.00 ppg · n=1 +0.12 [-0.27, 0.55] 0.62 ⬜
With vs. without Nicolai Remberg in the starting XI With Nicolai Remberg 1.16 ppg · n=32 Without Nicolai Remberg 0.50 ppg · n=2 +0.66 [-0.13, 1.44] 0.12 ⬜
With vs. without Ransford Königsdörffer in the starting XI With Ransford Königsdörffer 1.03 ppg · n=29 Without Ransford Königsdörffer 1.60 ppg · n=5 -0.57 [-1.70, 0.54] 0.34 🟡
With vs. without Miro Muheim in the starting XI With Miro Muheim 1.04 ppg · n=27 Without Miro Muheim 1.43 ppg · n=7 -0.39 [-1.54, 0.71] 0.52 🟡
With vs. without Luka Vuskovic in the starting XI With Luka Vuskovic 1.22 ppg · n=27 Without Luka Vuskovic 0.71 ppg · n=7 +0.51 [-0.46, 1.34] 0.27 🟡
Heavy week (after UCL/intl. break) vs. normal week Heavy week 0.00 ppg · n=0 Normal week 1.12 ppg · n=34 -1.12 — — ⬜
After UCL midweek vs. without UCL before After UCL 0.00 ppg · n=0 No UCL 1.12 ppg · n=34 -1.12 — — ⬜
Full strength (0 absences) vs. 2+ key-player absences 0 absences 1.17 ppg · n=18 2+ absences 1.40 ppg · n=5 -0.23 [-1.54, 1.04] 0.74 🟡

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: 0.5 ppg · gegen Rest: 1.455 ppg (Δ -0.955).

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

Untested

"Midweek UCL games cost points"

Indikativ: Nach CL 0 ppg, ohne CL 1.118 ppg.

Prediction relevance: Kein klares Adjustment.

Indicative

"Home games are different"

Heim: 1.412 ppg · Auswärts: 0.824 ppg (Δ 0.588).

Prediction relevance: Heimvorteil ist nicht überdurchschnittlich.

Data Analysis

Auto-Generated Variante C · Spieltag 34

Champions League places after matchday 34: Bayern (89), BVB (73), Leipzig (65), Stuttgart (62). HSV sit 24 points behind 4th. Europa League places: Hoffenheim (61), Leverkusen (59).

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 Hamburger SV 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 HSV currently stand?
13th with 38 points after matchday 34 (9W 11D 14L, goal diff -14).
Who is the Bundesliga top scorer?
Harry Kane  (Bayern) with 36 goals in the 25646 season.
Will HSV be relegated?
HSV are currently 9 points clear of the relegation places.

Related

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