Thursday, 01/01/2026 at 16:00
Full timeQueens Park Rangers 1:2 Norwich City
Goals
- 46' Josh Sargent Norwich City · 0.83 xG chance 0–1
- 90' Amadou Salif Mbengue Queens Park Rangers · 0.03 xG chance – Scored in the same minute as another goal, so the score after it is not shown.
- 90' Jovon Makama Norwich City · 0.05 xG chance – Scored in the same minute as another goal, so the score after it is not shown.
The shots behind it
- Shots
- 10
- 11
- On target
- 2
- 5
- Inside the box
- 7
- 5
- xG per shot
- 0.07
- 0.17
- Open play xG
- 0.42
- 1.92
- Set-piece xG
- 0.29
- 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: 0.72 for Queens Park Rangers and 1.94 for Norwich City.
Shot map
Both teams shown attacking the same goal for comparison.
All shots
21 shots · 2.62 xG
Hover or tap a shot, or step through them with the arrows.
- Queens Park Rangers
- Norwich City
- Filled = goal
- Dot area = xG (the smallest chances drawn at a minimum size)
Recent form
1.20 xG created 1.20 xGA
- W 2.00 created, 1.48 conceded against West Bromwich Albion
- W 1.51 created, 0.31 conceded against Birmingham City
- L 1.30 created, 2.29 conceded against Middlesbrough
- W 1.77 created, 1.14 conceded against Leicester City
- D 0.47 created, 0.53 conceded against Portsmouth
- L 0.14 created, 1.48 conceded against West Bromwich Albion
1.16 xG created 1.35 xGA
- L 1.88 created, 1.28 conceded against Watford
- D 1.26 created, 2.90 conceded against Sheffield United
- W 1.33 created, 2.12 conceded against Southampton
- D 0.40 created, 1.14 conceded against Preston North End
- W 1.16 created, 0.31 conceded against Charlton Athletic
- L 0.95 created, 0.36 conceded against Watford
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.