Saturday, 10/01/2026 at 18:30
Full timeBayer 04 Leverkusen 1:4 VfB Stuttgart
Goals
- 7' Jamie Leweling VfB Stuttgart · 0.66 xG chance 0–1
- 29' Maximilian Mittelstädt (pen.) VfB Stuttgart · 0.82 xG chance 0–2
- 45' Deniz Undav VfB Stuttgart · 0.15 xG chance – Scored in the same minute as another goal, so the score after it is not shown.
- 45' Jamie Leweling VfB Stuttgart · 0.05 xG chance – Scored in the same minute as another goal, so the score after it is not shown.
- 66' Alejandro Grimaldo (pen.) Bayer 04 Leverkusen · 0.82 xG chance 1–4
The shots behind it
- Shots
- 16
- 10
- On target
- 4
- 7
- Inside the box
- 10
- 6
- xG per shot
- 0.12
- 0.27
- Open play xG
- 1.16
- 1.83
- Set-piece xG
- —
- —
- Penalties
- 1
- 1
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: 1.17 for Bayer 04 Leverkusen and 1.82 for VfB Stuttgart.
Shot map
Both teams shown attacking the same goal for comparison.
All shots
26 shots · 4.63 xG
Hover, focus or tap a shot to read it.
- Bayer 04 Leverkusen
- VfB Stuttgart
- Filled = goal
- Dot area = xG (the smallest chances drawn at a minimum size)
Recent form
1.94 xG created 1.08 xGA
- W 3.31 created, 0.12 conceded against 1. FC Heidenheim
- W 1.10 created, 2.13 conceded against VfL Wolfsburg
- L 0.82 created, 0.99 conceded against Borussia Dortmund
- L 1.63 created, 1.28 conceded against FC Augsburg
- W 2.07 created, 0.20 conceded against 1. FC Köln
- W 2.72 created, 1.77 conceded against RB Leipzig
1.50 xG created 1.75 xGA
- W 2.35 created, 1.93 conceded against FC Augsburg
- D 1.55 created, 2.99 conceded against Borussia Dortmund
- L 0.75 created, 0.98 conceded against Hamburger SV
- L 0.88 created, 3.54 conceded against FC Bayern München
- W 2.17 created, 0.91 conceded against SV Werder Bremen
- D 1.27 created, 0.13 conceded against TSG Hoffenheim
xG created xG conceded (xGA) W / D / L: the match result
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.