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Morgan Gibbs-White

Midfielder26 yrs
75% chance
Non-penalty xG per 90
0.154 non-penalty goals from 71 shots
Expected assists per 90
0.2710 assists, 74 key passes
Finishing
-1.06goals above what the league converts the same chances into
Build-up per 90
0.2610% of Nottingham Forest’s build-up value

Morgan Gibbs-White ranks 91st of 402 qualified players for attacking involvement, shooting from 19.6m on average, with 27% of their danger coming from set pieces. They carry 17% of Nottingham Forest’s attacking involvement, the largest share in the squad.

75% chance. Muscular injury - 75% chance of playing. Weigh the rates below against the chance he features at all. Club status as of 17 Oct 2026.

Against their position

107 forwards

Shooting

per 90
Goals
0.14
Non-penalty goals
0.11
xG
0.17
Non-penalty xG
0.15
Shots
2.01
npxG per shot
0.07
Shot distance
19.6m
Set-piece share
27%
Goals against xG
-1.3

2 figures here come from match-event data, which is not recorded for 2023/24.

Creating

per 90
Assists
0.28
Expected assists
0.27
Key passes
2.10
npxG + xA
0.42
xG chain
0.52
xG build-up
0.26
Assists against xA
+0.5

On the ball

per 90

6 figures here come from match-event data, which is not recorded for 2023/24.

Defending

per 90

7 figures here come from match-event data, which is not recorded for 2023/24.

Discipline

per 90
Yellow cards
9season count
Red cards
0season count

3 figures here come from match-event data, which is not recorded for 2023/24.

Ranked against 107 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 8.6 shots a match and are 0.63× the league norm against forwards. A difficult one.

Projected shots
1.26

2.01 per 90 × 0.63

Projected on target
0.18

0.40 per 90 × 0.46

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

Shots

37 appearances
  • Over 0.532 of 3786%± 6
  • Over 1.521 of 3757%± 8
  • Over 2.511 of 3730%± 8
  • Over 3.54 of 3711%± 5

The band is one standard error, the tick the estimate. Blanks count as misses, 5 of 37.

Shooting profile

71 shots

Where they shoot

71 shots
Opponent goalLeftRight
GoalNo goalMark area is the chance’s expected goals

Morgan Gibbs-White, 2023/24, 71 shots in the final 35m, 5 scored.

left
26%
Centre
33%
right
41%

share of their shooting xG

Chance profile

quality, volume and route
xG per shot
0.085
Shots per 90
2.01
Key passes per 90
2.10
Average shot distance
19.6m
From set pieces
27%

How the chances arrive

Crosses
2%
Through balls
30%
Own dribble
9%
Headed
15%

Club role

Nottingham Forest

What they are for

  • PenaltiesTakes them: 1 of 1 Nottingham Forest were awarded.
  • Open-play crosses7 crosses from open play became shots, worth 1.86 xG.
  • Corners and set piecesSupplies 24% of Nottingham Forest’s dead-ball danger, from 24 deliveries that became shots.
  • When it mattered4 of 5 goals came with the game level or Nottingham Forest behind.
  • On the pitch93% of available minutes.

What would actually have to be replaced. Losing the penalty taker is not the same as losing a proportional slice of Morgan Gibbs-White’soutput.

Chances received

who supplies them
  1. Callum Hudson-Odoi1.0 xG11 shots, 0g
  2. Murillo0.4 xG2 shots, 0g
  3. Divock Origi0.4 xG2 shots, 1g
  4. Danilo0.4 xG4 shots, 1g
  5. Anthony Elanga0.4 xG6 shots, 1g

Chances created

who they supply
  1. Chris Wood2.8 xG14 shots, 3g
  2. Anthony Elanga1.7 xG11 shots, 2g
  3. Divock Origi0.7 xG3 shots, 0g
  4. Willy Boly0.7 xG7 shots, 1g
  5. Taiwo Awoniyi0.7 xG4 shots, 1g

Season record

2023/24

Involvement in build-up

excludes their own shots and final passes

Morgan Gibbs-White carries 10.3% of Nottingham Forest’s build-up value.

  • Build-up per 900.263
    64% of forwards
  • Possession value per 900.518
    39% of forwards

Ranked against 107 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

37 appearances, oldest first

at Arsenal1 shot
0 on target

v Sheffield Utd2 shots
1 on target

at Man Utd2 shots
0 on target

v Burnley4 shots
1 on target

at Man City3 shots
0 on target

at Palace2 shots
0 on target

v Luton2 shots
1 on target

at West Ham2 shots
1 on target

1g

v Brighton7 shots
1 on target

v Everton3 shots
0 on target

at Wolves1 shot
0 on target

v Spurs4 shots
0 on target

v Bournemouth1 shot
0 on target

at Newcastle3 shots
0 on target

1g

v Man Utd1 shot
1 on target

v Arsenal2 shots
0 on target

at Bournemouth1 shot
1 on target

v Newcastle3 shots
0 on target

v West Ham1 shot
1 on target

1g

at Villa1 shot
1 on target

v Liverpool1 shot
0 on target

at Brighton2 shots
1 on target

at Luton4 shots
1 on target

v Palace1 shot
0 on target

1g

v Fulham3 shots
1 on target

at Spurs1 shot
0 on target

1g

v Wolves1 shot
1 on target

at Everton2 shots
0 on target

v Man City3 shots
0 on target

at Sheffield Utd2 shots
0 on target

v Chelsea3 shots
0 on target

at Burnley2 shots
1 on target

5 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 5 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.