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Chris Wood

Forward34 yrs
Non-penalty xG per 90
0.4017 non-penalty goals from 68 shots
Expected assists per 90
0.093 assists, 22 key passes
Finishing
+4.96goals above what the league converts the same chances into
Build-up per 90
0.052% of Nottingham Forest’s build-up value

Chris Wood ranks 65th of 397 qualified players for attacking involvement, shooting from 12.8m on average, with 27% of their danger coming from set pieces. They carry 15% of Nottingham Forest’s attacking involvement, the 2nd largest share in the squad.

Against their position

104 forwards

Shooting

per 90
Goals
0.60
Non-penalty goals
0.51
xG
0.47
Non-penalty xG
0.40
Shots
2.02
npxG per shot
0.20
Shot distance
12.8m
Set-piece share
27%
Goals against xG
+3.6

2 figures here come from match-event data, which is not recorded for 2024/25.

Creating

per 90
Assists
0.09
Expected assists
0.09
Key passes
0.65
npxG + xA
0.49
xG chain
0.44
xG build-up
0.05
Assists against xA
-0.0

On the ball

per 90

6 figures here come from match-event data, which is not recorded for 2024/25.

Defending

per 90

7 figures here come from match-event data, which is not recorded for 2024/25.

Discipline

per 90
Yellow cards
1season count
Red cards
0season count

3 figures here come from match-event data, which is not recorded for 2024/25.

Ranked against 104 forwards with half a match a round or more, the same comparison the compare page makes. Where less is better, such as being dispossessed, the order is turned round, so a high percentile is always the good end.

This week

Gameweek 7

Next fixture

Gameweek 7

vs Arsenal

Sun 18 Oct, 15:30 UTC

Arsenal concede 9.6 shots a match and are 0.67× the league norm against forwards. A difficult one.

Projected shots
1.43

2.02 per 90 × 0.71

Projected on target
0.74

1.04 per 90 × 0.71

Season rate times what this opponent concedes, over a full ninety minutes. Check availability.

Shots

36 appearances
  • Over 0.530 of 3683%± 6
  • Over 1.520 of 3656%± 8
  • Over 2.511 of 3631%± 8
  • Over 3.55 of 3614%± 6

The band is one standard error, the tick the estimate. Blanks count as misses, 6 of 36.

Shooting profile

68 shots

Where they shoot

68 shots
1% of shots, 1 shot7% of shots, 5 shots3% of shots, 2 shots1% of shots, 1 shot1% of shots, 1 shot15% of shots, 10 shots13% of shots, 9 shots1% of shots, 1 shot1% of shots, 1 shot6% of shots, 4 shots12% of shots, 8 shots13% of shots, 9 shots1% of shots, 1 shot3% of shots, 2 shots4% of shots, 3 shots4% of shots, 3 shots1% of shots, 1 shot1% of shots, 1 shot1% of shots, 1 shot1% of shots, 1 shot1% of shots, 1 shot1% of shots, 1 shot1% of shots, 1 shot7%15%13%12%13%Opponent goalLeftRight
Share of shots<1%1–2%2–4%4–6%6%+

Chris Wood, 2024/25, final 35m.

left
12%
Centre
77%
right
11%

share of their shooting xG

Chance profile

quality, volume and route
xG per shot
0.230
Shots per 90
2.02
Key passes per 90
0.65
Average shot distance
12.8m
From set pieces
27%

How the chances arrive

Crosses
28%
Through balls
18%
Own dribble
2%
Headed
42%

Club role

Nottingham Forest

What they are for

  • PenaltiesTakes them: 3 of 3 Nottingham Forest were awarded.
  • Corners and set piecesSupplies 8% of Nottingham Forest’s dead-ball danger, from 3 deliveries that became shots.
  • When it mattered12 of 20 goals came with the game level or Nottingham Forest behind.
  • On the pitch88% of available minutes.

What would actually have to be replaced. Losing the penalty taker is not the same as losing a proportional slice of Chris Wood’soutput.

Chances received

who supplies them
  1. Anthony Elanga3.0 xG13 shots, 5g
  2. Morgan Gibbs-White1.8 xG9 shots, 3g
  3. Ola Aina1.6 xG10 shots, 1g
  4. Elliot Anderson1.6 xG8 shots, 2g
  5. Jota Silva0.8 xG1 shot, 0g

Chances created

who they supply
  1. Nikola Milenkovic1.2 xG2 shots, 1g
  2. Anthony Elanga0.7 xG5 shots, 0g
  3. Morgan Gibbs-White0.5 xG6 shots, 1g
  4. Jota Silva0.3 xG1 shot, 0g
  5. Elliot Anderson0.1 xG2 shots, 0g

Season record

2024/25

Involvement in build-up

excludes their own shots and final passes

Chris Wood carries 2.3% of Nottingham Forest’s build-up value.

  • Build-up per 900.050
    3% of forwards
  • Possession value per 900.438
    19% of forwards

Ranked against 104 forwards with a comparable sample. Build-up is the value of possessions a player was involved in, with their own shots and final passes removed, so it credits the work before the chance rather than the chance.

Match by match

Match log

36 appearances, oldest first
1g

v Bournemouth1 shot
1 on target

at Southampton3 shots
2 on target

1g

v Wolves5 shots
3 on target

at Liverpool1 shot
1 on target

1g

at Brighton1 shot
1 on target

1g

at Chelsea1 shot
1 on target

1g

v Palace4 shots
2 on target

2g

at Leicester3 shots
2 on target

1g

v West Ham2 shots
1 on target

1g

v Ipswich1 shot
1 on target

at Man City3 shots
1 on target

1g

at Man Utd2 shots
1 on target

v Villa1 shot
0 on target

at Brentford3 shots
2 on target

1g

at Everton3 shots
1 on target

1g

at Wolves2 shots
1 on target

1g

v Liverpool1 shot
1 on target

1g

v Southampton4 shots
1 on target

3g

v Brighton4 shots
4 on target

1g

at Fulham1 shot
1 on target

at Newcastle1 shot
0 on target

v Arsenal2 shots
1 on target

v Man City2 shots
1 on target

at Ipswich2 shots
2 on target

1g

at Spurs1 shot
1 on target

v Brentford2 shots
0 on target

at Palace2 shots
0 on target

1g

v Leicester5 shots
1 on target

at West Ham2 shots
1 on target

v Chelsea3 shots
0 on target

6 blanksno shot
not placed

Height is shots, solid is on target, and the dashed rule is the 1.5 line. The feed cannot date an appearance with no shot in it, so 6 sits at the end, counted but unplaced.

How to read the ties. Each rate ties back to the league average: solid where the sample is settled, broken where it is still being shrunk toward the league, an open circle where there is no cohort to rank against.