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SV Werder Bremen

Prediction Intelligence
SV Werder Bremen

Live data for professional portfolio management, trading and predictions.

Position
15.
Points
32
Goal diff
-23
Akte Werder Bremen — Club-Dossier SV Werder Bremen
Intelligence
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At a glance

Werder sit 15th after matchday 34 with 32 points (8W 8D 18L, goal diff -23). Last 5 form: WDLLL (4/15 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

Werder — Form & Home/Away

Last 5
WDLLL
Home
19 Pts
Record: 5-4-8 Goals: 19:31
Away
13 Pts
Record: 3-4-10 Goals: 18:29

Last result: Loss. Last 5 form: W-D-L-L-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
    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 68 matches of the Kompany-Ära.

Split Group A Group B Δ ppg 95% CI p-value Significance
Home games vs. away games Home 1.18 ppg · n=34 Away 1.26 ppg · n=34 -0.09 [-0.73, 0.53] 0.82 ⚪
Versus top-6 opponents vs. rest of the league Vs top 6 0.67 ppg · n=24 Vs rest 1.52 ppg · n=44 -0.86 [-1.39, -0.27] 0.00 🟢
With vs. without Romano Schmid in the starting XI With Romano Schmid 1.26 ppg · n=66 Without Romano Schmid 0.00 ppg · n=2 +1.26 [0.95, 1.58] 0.00 ⬜
With vs. without Senne Lynen in the starting XI With Senne Lynen 1.25 ppg · n=63 Without Senne Lynen 0.80 ppg · n=5 +0.45 [-0.73, 1.35] 0.41 🟡
With vs. without Jens Stage in the starting XI With Jens Stage 1.29 ppg · n=55 Without Jens Stage 0.92 ppg · n=13 +0.37 [-0.41, 1.07] 0.33 🟡
With vs. without Marco Friedl in the starting XI With Marco Friedl 1.31 ppg · n=54 Without Marco Friedl 0.86 ppg · n=14 +0.46 [-0.29, 1.15] 0.22 🟡
With vs. without Marco Grüll in the starting XI With Marco Grüll 1.06 ppg · n=36 Without Marco Grüll 1.41 ppg · n=32 -0.35 [-0.95, 0.27] 0.27 ⚪
Heavy week (after UCL/intl. break) vs. normal week Heavy week 0.00 ppg · n=0 Normal week 1.22 ppg · n=68 -1.22 — — ⬜
After UCL midweek vs. without UCL before After UCL 0.00 ppg · n=0 No UCL 1.22 ppg · n=68 -1.22 — — ⬜
Full strength (0 absences) vs. 2+ key-player absences 0 absences 1.33 ppg · n=21 2+ absences 1.06 ppg · n=17 +0.27 [-0.59, 1.10] 0.54 ⚪

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.

Confirmed

"Bayern struggles against top-6 opponents"

Gegen Top 6: 0.667 ppg · gegen Rest: 1.523 ppg (Δ -0.856).

Prediction relevance: Adjustment -28.53pp für Top-6-Gegner.

Untested

"Midweek UCL games cost points"

Indikativ: Nach CL 0 ppg, ohne CL 1.221 ppg.

Prediction relevance: Kein klares Adjustment.

Refuted

"Home games are different"

Heim: 1.176 ppg · Auswärts: 1.265 ppg (Δ -0.089).

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). Werder sit 30 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 SV Werder Bremen 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 Werder currently stand?
15th with 32 points after matchday 34 (8W 8D 18L, goal diff -23).
Who is the Bundesliga top scorer?
Harry Kane  (Bayern) with 36 goals in the 25646 season.
Will Werder be relegated?
Werder are currently 3 points clear of the relegation places.

Related

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