Bundesliga · 2026/27

Dortmund75Index65Attack88Defense

DWWWW

Assessed fixtures

Chances created and conceded, against 198 club-seasons of this league

hover a club to isolate it

Percentile against 198 club-seasons of league history, 2025 season. Higher is better on every spoke, including the ones where a low raw number is the good one. n = 198 club-seasons.

Chances created and conceded

Solid: chances created. Dashed red: chances conceded. Both six-match rolling averages. A dashed vertical marks a new season. n = 38 matches.

Season shape · 2026/27

Home2-1-07–2 goals · 7–2 xG

Away2-0-04–2 goals · 4–3 xG

Open play89%
From corners11%

Proportional breakdown — 2 categories totalling 9.
Category	Value	Share
Open play	8	88.9%
From corners	1	11.1%

Where Dortmund's goals came from, counted from shot data. Own goals by opponents are excluded, so this can total less than goals-for in the split above.

Open play75%
Set pieces25%

Proportional breakdown — 2 categories totalling 4.
Category	Value	Share
Open play	3	75.0%
Set pieces	1	25.0%

Where the goals against arose. Own goals excluded, as above.

Who carried the threat

Player	xG	xA	G	A
Serhou Guirassy	19.9	1.9	17	1
Maximilian Beier	8.2	5.0	9	6
Julian Ryerson	1.1	10.9	0	15
Julian Brandt	5.1	5.3	7	4
Karim Adeyemi	5.2	3.5	7	4
Daniel Svensson	2.9	4.3	2	2
Felix Nmecha	3.4	1.8	2	3
Nico Schlotterbeck	3.8	1.1	5	1
Fabio Silva	2.1	2.8	2	6
Ramy Bensebaini	3.3	0.7	5	2

Chance quality, match by match

xG created
xG conceded

Time series — 2 series over 5 time points.
matchday (1–5)	xG created	xG conceded
1	1.3	1.1
2	2.0	2.2
3	3.1	0.31
4	2.1	0.67
5	2.6	0.85

Per-match chance quality across 5 matches — creation vs concession. Crossovers are where seasons turn.

Squad projections — this week

Serhou GuirassyG+A 0.8445% goal

Maximilian BeierG+A 0.5123% goal

Julian RyersonG+A 0.372% goal

Daniel SvenssonG+A 0.2511% goal

Fabio SilvaG+A 0.178% goal

Felix NmechaG+A 0.1511% goal

Jobe BellinghamG+A 0.134% goal

Waldemar AntonG+A 0.084% goal

Style profile · how they play, not how good they are

Each axis is a percentile against the 17 other clubs with a profile this season, built from every shot Dortmund has taken and conceded in their last twelve matches. A club can sit high on these axes and still be poor — this describes character, not quality.

Creating

Style profile — 7-axis radar comparing 1 profile(s).
Axis	Creating
Set-piece threat	38th
Aerial	87th
Crossing	99th
Carrying	50th
Big chances	93rd
Close range	93rd
Chance quality	93rd

Where Dortmund's threat comes from. Strongest trait: crossing (99th percentile). as of 2026-10-09

Conceding

Style profile — 7-axis radar comparing 1 profile(s).
Axis	Conceding
Set-piece threat	7th
Aerial	26th
Crossing	13th
Carrying	38th
Big chances	13th
Close range	1st
Chance quality	7th

The shape of what they give up. Most exposed to: carrying (38th percentile). as of 2026-10-09

Descriptive only. We tested whether style matchups improve match forecasts — a set-piece side against a set-piece-vulnerable defence, and so on — and the answer was no, to five decimal places. These profiles tell you what a match will look like, not who will win it.

Luck ledger · 2026/27

— points · - - expected points · hover for any game

Match log

Game	Opponent	Score	xG	xGA	xPts	Pts
1	Hamburger SV	2-0	1.3	1.1	1.5	3
2	@ Hoffenheim	3-2	2.0	2.2	1.3	3
3	Paderborn	3-0	3.1	0.3	2.9	3
4	@ VfB Stuttgart	1-0	2.1	0.7	2.4	3
5	Werder Bremen	2-2	2.6	0.8	2.6	1

Latest results

2026-10-09Dortmund2–2Werder BremenxG 2.6–0.8

2026-09-19VfB Stuttgart0–1DortmundxG 0.7–2.1

2026-09-12Dortmund3–0PaderbornxG 3.1–0.3

2026-09-05Hoffenheim2–3DortmundxG 2.2–2.0

2026-08-29Dortmund2–0Hamburger SVxG 1.3–1.1