Saturday, 08/11/2025 at 15:30
Full timeBayer 04 Leverkusen 6:0 1. FC Heidenheim
Goals
- 2' Patrik Schick Bayer 04 Leverkusen · 0.26 xG chance 1–0
- 16' Jonas Hofmann Bayer 04 Leverkusen · 0.14 xG chance 2–0
- 22' Patrik Schick Bayer 04 Leverkusen · 0.94 xG chance 3–0
- 27' Ernest Poku Bayer 04 Leverkusen · 0.10 xG chance 4–0
- 45' Ibrahim Maza Bayer 04 Leverkusen · 0.28 xG chance 5–0
- 53' Ibrahim Maza Bayer 04 Leverkusen · 0.16 xG chance 6–0
The shots behind it
- Shots
- 25
- 1
- On target
- 10
- 0
- Inside the box
- 16
- 1
- xG per shot
- 0.13
- 0.15
- Open play xG
- 2.98
- 0.15
- Set-piece xG
- 0.24
- 0.00
- 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: 3.31 for Bayer 04 Leverkusen and 0.15 for 1. FC Heidenheim.
Shot map
Both teams shown attacking the same goal for comparison.
All shots
26 shots · 3.37 xG
Hover, focus or tap a shot to read it.
- Bayer 04 Leverkusen
- 1. FC Heidenheim
- Filled = goal
- Dot area = xG (the smallest chances drawn at a minimum size)
Recent form
1.76 xG created 1.12 xGA
- D 1.58 created, 0.76 conceded against Borussia M'gladbach
- W 0.69 created, 0.82 conceded against FC St. Pauli
- W 2.87 created, 0.74 conceded against 1. FC Union Berlin
- W 3.48 created, 1.66 conceded against 1. FSV Mainz 05
- W 1.71 created, 0.72 conceded against SC Freiburg
- L 0.23 created, 2.03 conceded against FC Bayern München
1.56 xG created 1.47 xGA
- L 2.98 created, 2.35 conceded against Hamburger SV
- W 1.24 created, 0.82 conceded against FC Augsburg
- L 0.38 created, 0.99 conceded against VfB Stuttgart
- 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
xG created xG conceded (xGA) W / D / L: the match result
Model details
Show Hide
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.