Sunday, 19/04/2026 at 17:30
Full timeFC Bayern München 4:2 VfB Stuttgart
Goals
- 21' Chris Führich VfB Stuttgart · 0.16 xG chance 0–1
- 31' Raphaël Guerreiro FC Bayern München · 0.85 xG chance 1–1
- 33' Nicolas Jackson FC Bayern München · 0.63 xG chance 2–1
- 37' Alphonso Davies FC Bayern München · 0.15 xG chance 3–1
- 52' Harry Kane FC Bayern München · 0.35 xG chance 4–1
- 88' Chema Andrés VfB Stuttgart · 0.06 xG chance 4–2
The shots behind it
- Shots
- 28
- 11
- On target
- 9
- 7
- Inside the box
- 22
- 7
- xG per shot
- 0.16
- 0.11
- Open play xG
- 3.46
- 1.21
- Set-piece xG
- 0.98
- 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: 4.47 for FC Bayern München and 1.20 for VfB Stuttgart.
Shot map
Both teams shown attacking the same goal for comparison.
All shots
39 shots · 5.65 xG
Hover, focus or tap a shot to read it.
- FC Bayern München
- VfB Stuttgart
- Filled = goal
- Dot area = xG (the smallest chances drawn at a minimum size)
Recent form
3.09 xG created 1.20 xGA
- W 2.05 created, 1.04 conceded against Borussia Dortmund
- W 3.05 created, 1.04 conceded against Borussia M'gladbach
- D 1.29 created, 2.59 conceded against Bayer 04 Leverkusen
- W 5.53 created, 0.21 conceded against 1. FC Union Berlin
- W 2.80 created, 1.82 conceded against SC Freiburg
- W 3.84 created, 0.49 conceded against FC St. Pauli
2.18 xG created 1.20 xGA
- W 3.06 created, 0.80 conceded against VfL Wolfsburg
- D 0.98 created, 2.84 conceded against 1. FSV Mainz 05
- W 1.20 created, 1.12 conceded against RB Leipzig
- W 3.77 created, 1.20 conceded against FC Augsburg
- L 0.58 created, 0.50 conceded against Borussia Dortmund
- W 3.48 created, 0.71 conceded against Hamburger SV
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.