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Nottingham Forest

Morgan Gibbs-White

Midfielder26 yrs
75% chance
Non-penalty xG per 90
0.3114 non-penalty goals from 83 shots
Expected assists per 90
0.134 assists, 48 key passes
Finishing
+4.37goals above what the league converts the same chances into
Build-up per 90
0.166% of Nottingham Forest’s build-up value

Morgan Gibbs-White ranks 59th of 398 qualified players for attacking involvement, shooting from 16.2m on average, with 20% 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

109 forwards

Shooting

per 90
Goals
0.43
Non-penalty goals
0.40
xG
0.33
Non-penalty xG
0.31
Shots
2.38
npxG per shot
0.13
Shot distance
16.2m
Set-piece share
20%
Goals against xG
+3.1

2 figures here come from match-event data, which is not recorded for 2025/26.

Creating

per 90
Assists
0.11
Expected assists
0.13
Key passes
1.37
npxG + xA
0.44
xG chain
0.49
xG build-up
0.16
Assists against xA
-0.5

On the ball

per 90

6 figures here come from match-event data, which is not recorded for 2025/26.

Defending

per 90
Recoveries
3.19
Defensive contribution
5.17

7 figures here come from match-event data, which is not recorded for 2025/26.

Discipline

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

3 figures here come from match-event data, which is not recorded for 2025/26.

Ranked against 109 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. Recoveries and defensive contribution come from the FPL feed and are ranked in its own positions.

This week

Gameweek 7

Next fixture

Gameweek 7

vs Arsenal

Sun 18 Oct, 15:30 UTC

Arsenal concede 8.3 shots a match and are 0.70× the league norm against forwards. A difficult one.

Projected shots
1.62

2.38 per 90 × 0.68

Projected on target
0.52

0.92 per 90 × 0.57

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

Shots

37 appearances
  • Over 0.532 of 3786%± 6
  • Over 1.527 of 3773%± 7
  • Over 2.515 of 3741%± 8
  • Over 3.56 of 3716%± 6

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

Shooting profile

83 shots

Where they shoot

83 shots
Every shotBy zone
Opponent goalLeftRight
GoalNo goalMark area is the chance’s expected goals

Morgan Gibbs-White, 2025/26, 83 shots in the final 35m, 15 scored.

left
29%
Centre
52%
right
19%

share of their shooting xG

Chance profile

quality, volume and route
xG per shot
0.141
Shots per 90
2.38
Key passes per 90
1.37
Average shot distance
16.2m
From set pieces
20%

How the chances arrive

Crosses
32%
Through balls
10%
Own dribble
6%
Headed
14%

Club role

Nottingham Forest

What they are for

  • PenaltiesTakes them: 1 of 3 Nottingham Forest were awarded.
  • When it mattered11 of 15 goals came with the game level or Nottingham Forest behind.
  • On the pitch92% 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. Omari Hutchinson1.8 xG8 shots, 2g
  2. Igor Jesus1.5 xG6 shots, 3g
  3. Callum Hudson-Odoi1.3 xG10 shots, 1g
  4. Elliot Anderson0.8 xG11 shots, 1g
  5. Taiwo Awoniyi0.8 xG3 shots, 0g

Chances created

who they supply
  1. Taiwo Awoniyi1.9 xG2 shots, 2g
  2. Igor Jesus0.6 xG10 shots, 0g
  3. Chris Wood0.5 xG2 shots, 1g
  4. Callum Hudson-Odoi0.4 xG7 shots, 0g
  5. Dan Ndoye0.3 xG1 shot, 1g

Season record

2025/26

Involvement in build-up

excludes their own shots and final passes

Morgan Gibbs-White carries 6.0% of Nottingham Forest’s build-up value.

  • Build-up per 900.155
    50% of forwards
  • Possession value per 900.495
    45% of forwards

Ranked against 109 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

v Brentford3 shots
0 on target

at Palace1 shot
0 on target

v West Ham2 shots
1 on target

at Arsenal1 shot
0 on target

at Burnley2 shots
1 on target

v Sunderland3 shots
0 on target

at Newcastle2 shots
1 on target

v Chelsea4 shots
0 on target

at Bournemouth2 shots
1 on target

1g

v Man Utd2 shots
1 on target

1g

v Leeds3 shots
3 on target

1g

at Liverpool2 shots
1 on target

v Brighton4 shots
0 on target

v Spurs3 shots
1 on target

at Fulham2 shots
0 on target

v Everton4 shots
1 on target

1g

at Villa2 shots
2 on target

1g

at West Ham1 shot
1 on target

v Arsenal2 shots
0 on target

1g

v Palace3 shots
1 on target

at Leeds2 shots
1 on target

v Wolves5 shots
1 on target

v Liverpool2 shots
0 on target

1g

at Brighton3 shots
2 on target

1g

at Man City3 shots
2 on target

v Fulham1 shot
1 on target

1g

at Spurs1 shot
1 on target

v Villa3 shots
1 on target

3g

v Burnley5 shots
3 on target

1g

at Sunderland2 shots
1 on target

1g

at Man Utd5 shots
3 on target

1g

v Bournemouth3 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.