Bundesliga · 2026/27

Augsburg36Index39Attack34Defense

DLDWW

Assessed fixtures

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

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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

Home1-2-07–4 goals · 8–8 xG

Away1-0-16–4 goals · 2–5 xG

Open play75%
From corners17%
Free kicks8%

Proportional breakdown — 3 categories totalling 12.
Category	Value	Share
Open play	9	75.0%
From corners	2	16.7%
Free kicks	1	8.3%

Where Augsburg'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 play88%
Set pieces13%

Proportional breakdown — 2 categories totalling 8.
Category	Value	Share
Open play	7	87.5%
Set pieces	1	12.5%

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

Who carried the threat

Player	xG	xA	G	A
Anton Kade	6.7	3.1	6	0
Fabian Rieder	4.2	5.4	6	3
Alexis Claude Maurice	6.3	3.2	5	4
Michael Gregoritsch	6.2	1.5	6	2
Mert Kömür	4.6	2.8	2	4
Marius Wolf	1.7	3.7	1	1
Dimitris Giannoulis	1.0	3.9	2	5
Robin Fellhauer	2.6	2.1	3	2
Rodrigo Ribeiro	4.6	0.0	2	0
Han-Noah Massengo	1.7	1.6	2	1

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	5.5	1.8
2	1.4	2.5
3	0.84	1.9
4	0.74	2.3
5	2.0	4.6

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

Squad projections — this week

Marius WolfG+A 0.492% goal

Michael GregoritschG+A 0.4125% goal

Fabian RiederG+A 0.388% goal

Robin FellhauerG+A 0.2113% goal

Anton KadeG+A 0.148% goal

Rodrigo RibeiroG+A 0.1413% goal

Han-Noah MassengoG+A 0.102% goal

Mert KömürG+A 0.075% 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 Augsburg 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	56th
Aerial	50th
Crossing	87th
Carrying	44th
Big chances	62nd
Close range	50th
Chance quality	75th

Where Augsburg's threat comes from. Strongest trait: crossing (87th percentile). as of 2026-10-10

Conceding

Style profile — 7-axis radar comparing 1 profile(s).
Axis	Conceding
Set-piece threat	50th
Aerial	44th
Crossing	26th
Carrying	93rd
Big chances	7th
Close range	44th
Chance quality	13th

The shape of what they give up. Most exposed to: carrying (93rd percentile). as of 2026-10-10

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	Schalke 04	3-0	5.5	1.8	2.9	3
2	@ Eintracht Frankfurt	4-1	1.4	2.5	0.8	3
3	Leverkusen	2-2	0.8	1.9	0.7	1
4	@ Werder Bremen	2-3	0.7	2.3	0.4	0
5	Bayern	2-2	2.0	4.6	0.2	1

Latest results

2026-10-10Augsburg2–2BayernxG 2.0–4.6

2026-09-19Werder Bremen3–2AugsburgxG 2.3–0.7

2026-09-12Augsburg2–2LeverkusenxG 0.8–1.9

2026-09-06Eintracht Frankfurt1–4AugsburgxG 2.5–1.4

2026-08-30Augsburg3–0Schalke 04xG 5.5–1.8