Saturday, 21/03/2026 at 15:30
Full time1. FC Heidenheim 3:3 Bayer 04 Leverkusen
Goals
- 22' Malik Tillman Bayer 04 Leverkusen · 0.27 xG chance 0–1
- 35' Patrik Schick Bayer 04 Leverkusen · 0.44 xG chance 0–2
- 56' Hennes Behrens 1. FC Heidenheim · 0.01 xG chance 1–2
- 72' Marvin Pieringer (pen.) 1. FC Heidenheim · 0.82 xG chance 2–2
- 79' Patrik Schick Bayer 04 Leverkusen · 0.21 xG chance 2–3
- 85' Marvin Pieringer 1. FC Heidenheim · 0.21 xG chance 3–3
The shots behind it
- Shots
- 9
- 14
- On target
- 5
- 5
- Inside the box
- 7
- 10
- xG per shot
- 0.18
- 0.11
- Open play xG
- 0.49
- 1.00
- Set-piece xG
- 0.30
- 0.60
- Penalties
- 1
- 0
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: 0.79 for 1. FC Heidenheim and 1.62 for Bayer 04 Leverkusen.
Shot map
Both teams shown attacking the same goal for comparison.
All shots
23 shots · 3.21 xG
Hover, focus or tap a shot to read it.
- 1. FC Heidenheim
- Bayer 04 Leverkusen
- Filled = goal
- Dot area = xG (the smallest chances drawn at a minimum size)
Recent form
1.19 xG created 1.92 xGA
- L 1.53 created, 1.48 conceded against Hamburger SV
- L 0.97 created, 1.91 conceded against FC Augsburg
- D 2.04 created, 2.24 conceded against VfB Stuttgart
- L 1.36 created, 2.64 conceded against SV Werder Bremen
- L 1.07 created, 2.34 conceded against TSG Hoffenheim
- L 0.15 created, 0.92 conceded against Eintracht Frankfurt
1.69 xG created 1.15 xGA
- W 1.40 created, 0.49 conceded against FC St. Pauli
- L 0.95 created, 0.64 conceded against 1. FC Union Berlin
- D 1.23 created, 0.73 conceded against 1. FSV Mainz 05
- W 1.93 created, 1.27 conceded against Hamburger SV
- D 2.04 created, 2.50 conceded against SC Freiburg
- D 2.59 created, 1.29 conceded against FC Bayern München
xG created xG conceded (xGA) W / D / L: the match result
Head to head
Model details
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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.