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Nottingham Forest · 2025/26

Morgan Gibbs-White

npxG per 90
0.31
14 non-penalty goals
xA per 90
0.13
4 assists · 48 key passes
Finishing
+4.4
vs league conversion rate
Build-up per 90
0.16
3142 minutes · 37 games

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 19% of Nottingham Forest’s attacking output, the largest share in the squad.

This week

Next fixture

Gameweek 2

away to Liverpool

Sat 29 Aug, 11:30 UTC

Liverpool concede 11.5 shots a match and are 0.94× the league norm against forwards. Roughly an average matchup.

Projected shots
2.21

2.38 per 90 × 0.93

Projected on target
0.90

0.92 per 90 × 0.98

Season rate multiplied by what this opponent concedes relative to the league. It assumes a full ninety minutes and takes no account of rotation, so check availability before reading anything into it.

Shots

37 appearances
  • Over 0.586%± 6
  • Over 1.573%± 7
  • Over 2.541%± 8
  • Over 3.516%± 6

Share of appearances clearing each line, with one standard error. Blank appearances count as misses, 5 of 37 here, so these are lower, and more honest, than rates built only from matches where the player got a shot away.

Shots on target

37 appearances
  • Over 0.562%± 8
  • Over 1.516%± 6
  • Over 2.58%± 4

Share of appearances clearing each line, with one standard error. Blank appearances count as misses, 5 of 37 here, so these are lower, and more honest, than rates built only from matches where the player got a shot away.

Where the shots come from

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. Shape carries the outcome rather than colour, so it reads in print and to anyone who cannot separate the hues.

left
29%
Centre
52%
right
19%

share of their shooting xG

Chance quality

xG per shot, distance, how they arrive
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 their chances arrive

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

What they are for

Roles

penalties, set pieces, crossing, partnerships
  • 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 the minutes available to them.

Partnerships

  • Feeds Taiwo Awoniyi2 shots, 1.92 xG
  • Fed by Omari Hutchinson8 shots, 1.85 xG
  • Fed by Igor Jesus6 shots, 1.47 xG
  • Fed by Callum Hudson-Odoi10 shots, 1.35 xG

A share of the attack says how much runs through Morgan Gibbs-White. These say what would have to be replaced. Losing the penalty taker or the corner deliverer is not the same as losing a proportional slice of output, and a partnership cuts both ways: the supplier being absent damages the finisher’s numbers too.

Who they play with

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

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. It is a possession-value measure rather than a passing one: it cannot tell a forty-yard carry from two sideways balls, because no pass or carry record exists in this data.

Tackles, blocks and recoveries

per 90 · 2025/26

They account for 7.3% of their club’s recorded defensive work.

  • Tackles0.58
    1% of MID
  • Blocks, clearances, interceptions1.39
    26% of MID
  • Recoveries3.19
    12% of MID
  • Defensive contribution5.17
    8% of MID

Rates from 3,101 minutes, ranked against 149 midfielders with a comparable sample. The feed publishes season totals rather than a match-by-match record, so there is no hit rate against a line here. That needs the distribution, which no arithmetic on a total can recover. This statistic begins in 2025/26, so there is no earlier season to compare against.

Match log

most recent first
  • vs Bournemouth1g
    3 shots1 OT
  • at Manchester United1g
    5 shots3 OT
  • at Sunderland1g
    2 shots1 OT
  • vs Burnley3g
    5 shots3 OT
  • vs Aston Villa
    3 shots1 OT
  • at Tottenham1g
    1 shot1 OT
  • vs Fulham
    1 shot1 OT
  • at Manchester City1g
    3 shots2 OT
  • at Brighton1g
    3 shots2 OT
  • vs Liverpool
    2 shots0 OT

Solid marks are on target, faded ones off. 5 further appearances produced no shot and are not listed, but are counted in the rates above.

See Nottingham Forest