1. FC Heidenheim 2:1 SC Freiburg: xG & match report · Bundesliga

Saturday, 06/12/2025 at 15:30

Full time

Match report · Bundesliga

1. FC Heidenheim Home 2.22 xG · 16 shots

SC Freiburg Away 0.84 xG · 15 shots

21 The scoreline reflected the chances

Goals

40' Johan Manzambi SC Freiburg · 0.04 xG chance 0–1
59' Patrick Mainka 1. FC Heidenheim · 0.51 xG chance 1–1
90' Stefan Schimmer 1. FC Heidenheim · 0.45 xG chance 2–1

The shots behind it

1. FC Heidenheim SC Freiburg

Shots: 16; 15
On target: 3; 2
Inside the box: 8; 9
xG per shot: 0.14; 0.06
Open play xG: 1.56; 0.47
Set-piece xG: 0.69; 0.37
Penalties: —; —

Shot-level xG may differ from the published match total

The provider publishes the match total separately from its shot-by-shot values. Those values are rounded to two decimals and, leaving out penalties and own goals, add up to its non-penalty xG: 2.22 for 1. FC Heidenheim.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

31 shots · 3.09 xG

Hover, focus or tap a shot to read it.

1. FC Heidenheim
SC Freiburg
Filled = goal
Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match

1. FC Heidenheim

0.96 xG created 1.85 xGA

D 3.00 created, 1.33 conceded against SV Werder Bremen
L 1.11 created, 2.37 conceded against TSG Hoffenheim
D 0.62 created, 0.94 conceded against Eintracht Frankfurt
L 0.12 created, 3.31 conceded against Bayer 04 Leverkusen
L 0.33 created, 2.18 conceded against Borussia M'gladbach
W 0.59 created, 0.97 conceded against 1. FC Union Berlin

SC Freiburg

1.54 xG created 1.24 xGA

D 1.14 created, 0.89 conceded against Eintracht Frankfurt
L 0.72 created, 1.71 conceded against Bayer 04 Leverkusen
D 1.17 created, 1.16 conceded against 1. FC Union Berlin
W 1.02 created, 0.53 conceded against FC St. Pauli
L 0.57 created, 3.03 conceded against FC Bayern München
W 4.60 created, 0.11 conceded against 1. FSV Mainz 05

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.