VfB Stuttgart 3:2 Eintracht Frankfurt: xG & match report · Bundesliga

Tuesday, 13/01/2026 at 18:30

Full time

Match report · Bundesliga

VfB Stuttgart Home 2.31 xG · 20 shots

Eintracht Frankfurt Away 0.98 xG · 12 shots

32 The scoreline reflected the chances

Goals

5' Rasmus Kristensen Eintracht Frankfurt · 0.05 xG chance 0–1
27' Ermedin Demirović VfB Stuttgart · 0.17 xG chance 1–1
35' Deniz Undav VfB Stuttgart · 0.09 xG chance 2–1
80' Ayoube Amaimouni Echghouyab Eintracht Frankfurt · 0.10 xG chance 2–2
87' Nikolas Nartey VfB Stuttgart · 0.33 xG chance 3–2

The shots behind it

VfB Stuttgart Eintracht Frankfurt

Shots: 20; 12
On target: 11; 5
Inside the box: 15; 8
xG per shot: 0.11; 0.06
Open play xG: 1.94; 0.56
Set-piece xG: 0.34; 0.11
Penalties: —; —

VfB Stuttgart's shots add up to 2.28 xG and Eintracht Frankfurt's to 0.67; the published figures are 2.31 and 0.98.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

32 shots · 2.95 xG

Hover, focus or tap a shot to read it.

VfB Stuttgart
Eintracht Frankfurt
Filled = goal
Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match

VfB Stuttgart

1.54 xG created 1.75 xGA

D 1.55 created, 2.99 conceded against Borussia Dortmund
L 0.75 created, 0.98 conceded against Hamburger SV
L 0.88 created, 3.54 conceded against FC Bayern München
W 2.17 created, 0.91 conceded against SV Werder Bremen
D 1.27 created, 0.13 conceded against TSG Hoffenheim
W 2.60 created, 1.96 conceded against Bayer 04 Leverkusen

Eintracht Frankfurt

1.38 xG created 1.76 xGA

W 1.81 created, 1.22 conceded against 1. FC Köln
D 1.59 created, 1.86 conceded against VfL Wolfsburg
L 0.65 created, 3.70 conceded against RB Leipzig
W 1.05 created, 0.62 conceded against FC Augsburg
D 1.59 created, 0.75 conceded against Hamburger SV
D 1.58 created, 2.38 conceded against Borussia Dortmund

xG created xG conceded (xGA) W / D / L: the match result

Model details

Show

The model never priced this match before kick-off, so there is no projection to read the result against.

Limitations

The model reads expected goals and nothing else. It does not know the lineups, who is injured or suspended, what either side has to play for, the weather, or how congested the schedule around this match is.