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Hamburger SV

Live data for professional portfolio management, trading and predictions.

Position
13.
Points
31
Goal diff
-13
Next match
Werder vs HSV
Akte HSV — Club-Dossier Hamburger SV
Intelligence
Deutsch
At a glance

HSV sit 13th after matchday 30 with 31 points (7W 10D 12L, goal diff -13). Last 5 form: WDLDL (5/15 pts). Next opponent: Werder (15th).

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

Werder HSV
Home 1.99
Draw 3.68
Away 3.92
Source: Pinnacle Updated:
Werder HSV
-- Days
-- Hrs
-- Min
Kickoff
Venue
Competition
Bundesliga

Form & Momentum

HSV — Form & Home/Away

Last 5
WDLDL
Home
21 Pts
Record: 5-6-4 Goals: 21:18
Away
10 Pts
Record: 2-4-8 Goals: 11:27

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

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 29 matches of the Kompany-Ära.

Split Group A Group B Δ ppg 95% CI p-value Significance
Home games vs. away games Home 1.40 ppg · n=15 Away 0.71 ppg · n=14 +0.69 [-0.14, 1.50] 0.11 🟡
Versus top-6 opponents vs. rest of the league Vs top 6 0.50 ppg · n=10 Vs rest 1.37 ppg · n=19 -0.87 [-1.61, -0.04] 0.04 🟡
With vs. without Daniel Heuer Fernandes in the starting XI With Daniel Heuer Fernandes 1.07 ppg · n=29 Without Daniel Heuer Fernandes 0.00 ppg · n=0 +1.07 — — ⬜
With vs. without Nicolai Remberg in the starting XI With Nicolai Remberg 1.11 ppg · n=27 Without Nicolai Remberg 0.50 ppg · n=2 +0.61 [-0.18, 1.41] 0.17 ⬜
With vs. without Miro Muheim in the starting XI With Miro Muheim 1.08 ppg · n=26 Without Miro Muheim 1.00 ppg · n=3 +0.08 [-1.85, 1.39] 0.89 ⬜
With vs. without Ransford Königsdörffer in the starting XI With Ransford Königsdörffer 0.96 ppg · n=25 Without Ransford Königsdörffer 1.75 ppg · n=4 -0.79 [-2.12, 0.57] 0.27 ⬜
With vs. without Luka Vuskovic in the starting XI With Luka Vuskovic 1.16 ppg · n=25 Without Luka Vuskovic 0.50 ppg · n=4 +0.66 [0.00, 1.35] 0.05 ⬜
Heavy week (after UCL/intl. break) vs. normal week Heavy week 0.00 ppg · n=0 Normal week 1.07 ppg · n=29 -1.07 — — ⬜
After UCL midweek vs. without UCL before After UCL 0.00 ppg · n=0 No UCL 1.07 ppg · n=29 -1.07 — — ⬜
Full strength (0 absences) vs. 2+ key-player absences 0 absences 1.17 ppg · n=18 2+ absences 1.50 ppg · n=2 -0.33 [-2.22, 1.50] 0.66 ⬜

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: 1.368 ppg (Δ -0.868).

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

Untested

"Midweek UCL games cost points"

Indikativ: Nach CL 0 ppg, ohne CL 1.069 ppg.

Prediction relevance: Kein klares Adjustment.

Indicative

"Home games are different"

Heim: 1.4 ppg · Auswärts: 0.714 ppg (Δ 0.686).

Prediction relevance: Heimvorteil ist nicht überdurchschnittlich.

Data Analysis

Auto-Generated Variante C · Spieltag 30

Champions League places after matchday 30: Bayern (76), BVB (64), Stuttgart (56), Leipzig (56). HSV sit 25 points behind 4th. Europa League places: Leverkusen (52), Hoffenheim (51).

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 31 points after matchday 30 (7W 10D 12L, goal diff -13).
Who is HSV's next opponent?
Werder, kickoff on 2026-04-18.
Who is the Bundesliga top scorer?
Harry Kane (Bayern) with 31 goals in the 25646 season.
Will HSV be relegated?
HSV are currently 5 points clear of the relegation places.

Related

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