Akte Borussia Dortmund
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Borussia Dortmund

Prediction Intelligence
Borussia Dortmund

Live data for professional portfolio management, trading and predictions.

Position
2.
Points
70
Goal diff
+34
Next match
Werder vs BVB
Akte BVB — Club-Dossier Borussia Dortmund
Intelligence
Deutsch
At a glance

BVB sit 2th after matchday 33 with 70 points (21W 7D 5L, goal diff +34). Last 5 form: LLWLW (6/15 pts). Next opponent: Werder (15th).

Bundesliga Table

Bundesliga table matchday 33
# Club P W D L GF GA GD Pts
1 Bayern 33 27 5 1 117 35 +82 86
2 BVB 33 21 7 5 68 34 +34 70
3 Leipzig 33 20 5 8 65 43 +22 65
4 Stuttgart 33 18 7 8 69 47 +22 61
5 Hoffenheim 33 18 7 8 65 48 +17 61
6 Leverkusen 33 17 7 9 67 46 +21 58
7 Freiburg 33 12 8 13 47 56 -9 44
8 Eintracht 33 11 10 12 59 63 -4 43
9 Augsburg 33 12 7 14 45 57 -12 43
10 Mainz 33 9 10 14 42 53 -11 37
11 HSV 33 9 10 14 39 53 -14 37
12 Union 33 9 9 15 40 58 -18 36
13 Gladbach 33 8 11 14 38 53 -15 35
14 Koeln 33 7 11 15 48 58 -10 32
15 Werder 33 8 8 17 37 58 -21 32
16 Wolfsburg 33 6 8 19 42 68 -26 26
17 Heidenheim 33 6 8 19 41 70 -29 26
18 St. Pauli 33 6 8 19 28 57 -29 26

Top Scorers

Bundesliga Top Scorers Season 25646

  1. 1
    Harry Kane
    Harry Kane
    Bayern · 32
    33 Goals
  2. 2
    Deniz Undav
    Deniz Undav
    Stuttgart · 29
    19 Goals
  3. 3
    Patrik Schick
    Patrik Schick
    Leverkusen · 30
    16 Goals
  4. 4
    Serhou Guirassy
    Serhou Guirassy
    BVB · 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 Yan Diomande Leipzig 12
10 Said El Mala Koeln 12

Pinnacle Oracle

Werder BVB
Home 3.45
Draw 3.96
Away 1.96
Source: Pinnacle Updated:
Werder BVB
-- Days
-- Hrs
-- Min
Kickoff
Venue
Competition
Bundesliga

Form & Momentum

BVB — Form & Home/Away

Last 5
LLWLW
Home
41 Pts
Record: 13-2-2 Goals: 40:16
Away
29 Pts
Record: 8-5-3 Goals: 28:18

Last result: Win. Last 5 form: L-L-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
    19 Assists
  2. 2
    Julian Ryerson
    Julian Ryerson
    BVB · 28
    15 Assists
  3. 3
    Luis Díaz
    Luis Díaz
    Bayern · 29
    13 Assists
  4. 4
    Andrej Ilic
    Andrej Ilic
    Union · 26
    10 Assists
  5. 5
    Jamie Leweling
    Jamie Leweling
    Stuttgart · 25
    10 Assists
# Player Club Assists
6 Christoph Baumgartner Leipzig 9
7 Konrad Laimer Bayern 9
8 Bazoumana Touré Hoffenheim 9
9 Farès Chaïbi Eintracht 9
10 Yan Diomande Leipzig 8

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 · 23
    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 67 matches of the Kompany-Ära.

Split Group A Group B Δ ppg 95% CI p-value Significance
Home games vs. away games Home 2.27 ppg · n=34 Away 1.51 ppg · n=33 +0.75 [0.15, 1.34] 0.01 🟢
Versus top-6 opponents vs. rest of the league Vs top 6 1.20 ppg · n=20 Vs rest 2.19 ppg · n=47 -0.99 [-1.63, -0.32] 0.00 🟢
With vs. without Gregor Kobel in the starting XI With Gregor Kobel 1.91 ppg · n=65 Without Gregor Kobel 1.50 ppg · n=2 +0.41 [-1.31, 2.11] 0.50 ⬜
With vs. without Serhou Guirassy in the starting XI With Serhou Guirassy 1.80 ppg · n=55 Without Serhou Guirassy 2.33 ppg · n=12 -0.53 [-1.23, 0.27] 0.18 🟡
With vs. without Waldemar Anton in the starting XI With Waldemar Anton 2.04 ppg · n=53 Without Waldemar Anton 1.36 ppg · n=14 +0.68 [-0.08, 1.43] 0.08 🟡
With vs. without Julian Ryerson in the starting XI With Julian Ryerson 1.86 ppg · n=52 Without Julian Ryerson 2.00 ppg · n=15 -0.14 [-0.84, 0.62] 0.71 ⚪
With vs. without Nico Schlotterbeck in the starting XI With Nico Schlotterbeck 1.76 ppg · n=50 Without Nico Schlotterbeck 2.29 ppg · n=17 -0.53 [-1.16, 0.14] 0.12 🟡
Heavy week (after UCL/intl. break) vs. normal week Heavy week 0.00 ppg · n=0 Normal week 1.90 ppg · n=67 -1.90 — — ⬜
After UCL midweek vs. without UCL before After UCL 0.00 ppg · n=0 No UCL 1.90 ppg · n=67 -1.90 — — ⬜
Full strength (0 absences) vs. 2+ key-player absences 0 absences 1.61 ppg · n=23 2+ absences 1.73 ppg · n=15 -0.12 [-1.03, 0.78] 0.79 ⚪

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: 1.2 ppg · gegen Rest: 2.191 ppg (Δ -0.991).

Prediction relevance: Adjustment -33.03pp für Top-6-Gegner.

Untested

"Midweek UCL games cost points"

Indikativ: Nach CL 0 ppg, ohne CL 1.896 ppg.

Prediction relevance: Kein klares Adjustment.

Confirmed

"Home games are different"

Heim: 2.265 ppg · Auswärts: 1.515 ppg (Δ 0.75).

Prediction relevance: Adjustment 25pp für Heimspiele.

Data Analysis

Auto-Generated Variante B · Spieltag 33

Relegation zone matchday 33: Wolfsburg (16th, 26 pts), Heidenheim (17th, 26 pts), St. Pauli (18th, 26 pts). BVB are 44 points clear of the relegation place. Points per game: 2.12.

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 Borussia Dortmund 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 BVB currently stand?
2th with 70 points after matchday 33 (21W 7D 5L, goal diff +34).
Who is BVB's next opponent?
Werder, kickoff on 2026-05-16.
Who is the Bundesliga top scorer?
Harry Kane (Bayern) with 33 goals in the 25646 season.
Will BVB be relegated?
BVB are currently 44 points clear of the relegation places.

Related

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