Saturday, 17/01/2026 at 18:30
Full timeRB Leipzig 1:5 FC Bayern München
Goals
- 20' Rômulo RB Leipzig · 0.20 xG chance 1–0
- 50' Serge Gnabry FC Bayern München · 0.29 xG chance 1–1
- 67' Harry Kane FC Bayern München · 0.30 xG chance 1–2
- 82' Jonathan Tah FC Bayern München · 0.16 xG chance 1–3
- 85' Aleksandar Pavlović FC Bayern München · 0.83 xG chance 1–4
- 88' Michael Olise FC Bayern München · 0.16 xG chance 1–5
The shots behind it
- Shots
- 17
- 19
- On target
- 4
- 12
- Inside the box
- 14
- 16
- xG per shot
- 0.15
- 0.24
- Open play xG
- 2.44
- 3.37
- Set-piece xG
- 0.03
- 1.12
- 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: 2.49 for RB Leipzig and 4.57 for FC Bayern München.
Shot map
Both teams shown attacking the same goal for comparison.
All shots
36 shots · 6.96 xG
Hover, focus or tap a shot to read it.
- RB Leipzig
- FC Bayern München
- Filled = goal
- Dot area = xG (the smallest chances drawn at a minimum size)
Recent form
1.92 xG created 1.03 xGA
- W 2.10 created, 0.80 conceded against SV Werder Bremen
- D 0.93 created, 0.42 conceded against Borussia M'gladbach
- W 3.70 created, 0.65 conceded against Eintracht Frankfurt
- L 0.55 created, 1.42 conceded against 1. FC Union Berlin
- L 1.77 created, 2.72 conceded against Bayer 04 Leverkusen
- W 2.48 created, 0.17 conceded against SC Freiburg
3.26 xG created 0.87 xGA
- W 2.30 created, 0.64 conceded against FC St. Pauli
- W 3.54 created, 0.88 conceded against VfB Stuttgart
- D 4.50 created, 0.60 conceded against 1. FSV Mainz 05
- W 4.44 created, 1.04 conceded against 1. FC Heidenheim
- W 3.30 created, 1.36 conceded against VfL Wolfsburg
- W 1.50 created, 0.72 conceded against 1. FC Köln
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.