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Saturday, 08/11/2025 at 15:30

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Match report · Bundesliga

Bayer 04 Leverkusen 6:0 1. FC Heidenheim

Bayer 04 Leverkusen Home 3.31 xG · 25 shots
1. FC Heidenheim Away 0.12 xG · 1 shots
60 The scoreline reflected the chances

Goals

  1. 2' Patrik Schick Bayer 04 Leverkusen · 0.26 xG chance 1–0
  2. 16' Jonas Hofmann Bayer 04 Leverkusen · 0.14 xG chance 2–0
  3. 22' Patrik Schick Bayer 04 Leverkusen · 0.94 xG chance 3–0
  4. 27' Ernest Poku Bayer 04 Leverkusen · 0.10 xG chance 4–0
  5. 45' Ibrahim Maza Bayer 04 Leverkusen · 0.28 xG chance 5–0
  6. 53' Ibrahim Maza Bayer 04 Leverkusen · 0.16 xG chance 6–0

The shots behind it

Bayer 04 Leverkusen 1. FC Heidenheim
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.

Bayer 04 Leverkusen · Patrik Schick · 22' · Goal · 1 m · 0.94 xG Bayer 04 Leverkusen · Alejandro Grimaldo · 81' · No goal · 10 m · 0.57 xG Bayer 04 Leverkusen · Ibrahim Maza · 45' · Goal · 10 m · 0.28 xG Bayer 04 Leverkusen · Patrik Schick · 2' · Goal · 8 m · 0.26 xG Bayer 04 Leverkusen · Ibrahim Maza · 55' · No goal · 10 m · 0.17 xG Bayer 04 Leverkusen · Ibrahim Maza · 53' · Goal · 11 m · 0.16 xG 1. FC Heidenheim · Arijon Ibrahimović · 69' · No goal · 15 m · 0.15 xG Bayer 04 Leverkusen · Jonas Hofmann · 16' · Goal · 8 m · 0.14 xG Bayer 04 Leverkusen · Ernest Poku · 27' · Goal · 9 m · 0.10 xG Bayer 04 Leverkusen · Patrik Schick · 47' · No goal · 9 m · 0.10 xG Bayer 04 Leverkusen · Alejo Sarco · 90' · No goal · 10 m · 0.10 xG Bayer 04 Leverkusen · Loïc Badé · 78' · No goal · 9 m · 0.05 xG Bayer 04 Leverkusen · Jonas Hofmann · 87' · No goal · 13 m · 0.05 xG Bayer 04 Leverkusen · Patrik Schick · 4' · No goal · 9 m · 0.04 xG Bayer 04 Leverkusen · Jonas Hofmann · 30' · No goal · 21 m · 0.03 xG Bayer 04 Leverkusen · Jonas Hofmann · 31' · No goal · 23 m · 0.03 xG Bayer 04 Leverkusen · Ibrahim Maza · 34' · No goal · 7 m · 0.03 xG Bayer 04 Leverkusen · Aleix García · 37' · No goal · 29 m · 0.03 xG Bayer 04 Leverkusen · Aleix García · 5' · No goal · 11 m · 0.02 xG Bayer 04 Leverkusen · Jonas Hofmann · 12' · No goal · 27 m · 0.02 xG Bayer 04 Leverkusen · Martin Terrier · 49' · No goal · 15 m · 0.02 xG Bayer 04 Leverkusen · Alejandro Grimaldo · 73' · No goal · 27 m · 0.02 xG Bayer 04 Leverkusen · Robert Andrich · 73' · No goal · 25 m · 0.02 xG Bayer 04 Leverkusen · Alejandro Grimaldo · 82' · No goal · 18 m · 0.02 xG Bayer 04 Leverkusen · Malik Tillman · 57' · No goal · 10 m · 0.01 xG Bayer 04 Leverkusen · Aleix García · 57' · No goal · 29 m · 0.01 xG

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

Last 6 · xG per match
Bayer 04 Leverkusen

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. FC Heidenheim

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

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.