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Nottingham Forest

Álex Moreno

Defender
Non-penalty xG per 90
0.020 non-penalty goals from 6 shots
Expected assists per 90
0.101 assists, 8 key passes
Finishing
-0.20goals above what the league converts the same chances into
Build-up per 90
0.142% of Nottingham Forest’s build-up value

Álex Moreno ranks 245th of 397 qualified players for attacking involvement, shooting from 22.6m on average, with 29% of their danger coming from set pieces.

Against their position

123 defenders

Shooting

per 90
Goals
0.00
Non-penalty goals
0.00
xG
0.02
Non-penalty xG
0.02
Shots
0.55
npxG per shot
–not ranked
Shot distance
–not ranked
Set-piece share
–not ranked
Goals against xG
-0.2

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

Creating

per 90
Assists
0.09
Expected assists
0.10
Key passes
0.74
npxG + xA
0.12
xG chain
0.23
xG build-up
0.14
Assists against xA
-0.1

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
2season count
Red cards
0season count

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

Ranked against 123 defenders 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 0.95× the league norm against defenders. A difficult one.

Projected shots
0.47

0.55 per 90 × 0.84

Projected on target
0.00

0.00 per 90 × 0.71

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

Shots

15 appearances
  • Over 0.55 of 1533%± 12
  • Over 1.51 of 157%± 6
  • Over 2.50 of 150%± 0
  • Over 3.50 of 150%± 0

The band is one standard error, the tick the estimate. Blanks count as misses, 10 of 15.

Shooting profile

6 shots

Where they shoot

6 shots
Every shotBy zone
33% of shots, 2 shots17% of shots, 1 shot17% of shots, 1 shot17% of shots, 1 shot17% of shots, 1 shot33%17%17%17%17%Opponent goalLeftRight
Share of shots<1%1–2%2–4%4–6%6%+

Álex Moreno, 2024/25, final 35m.

left
71%
Centre
29%
right
0%

share of their shooting xG

Chance profile

quality, volume and route
xG per shot
0.036
Shots per 90
0.55
Key passes per 90
0.74
Average shot distance
22.6m
From set pieces
29%

How the chances arrive

Crosses
0%
Through balls
0%
Own dribble
0%
Headed
0%

Club role

Nottingham Forest

What they are for

  • On the pitch29% of available minutes.

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

Chances received

who supplies them
  1. Murillo0.1 xG1 shot, 0g
  2. Morgan Gibbs-White0.0 xG1 shot, 0g
  3. Ryan Yates0.0 xG1 shot, 0g

Chances created

who they supply
  1. Chris Wood0.5 xG1 shot, 1g
  2. Ryan Yates0.2 xG1 shot, 0g
  3. Callum Hudson-Odoi0.2 xG3 shots, 0g
  4. Jota Silva0.1 xG2 shots, 0g
  5. Morgan Gibbs-White0.1 xG1 shot, 0g

Season record

2024/25

Involvement in build-up

excludes their own shots and final passes

Álex Moreno carries 2.1% of Nottingham Forest’s build-up value.

  • Build-up per 900.141
    5% of defenders
  • Possession value per 900.233
    19% of defenders

Ranked against 123 defenders 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

15 appearances, oldest first

v Fulham1 shot
0 on target

at Chelsea1 shot
0 on target

v Palace2 shots
0 on target

v West Ham1 shot
0 on target

at Man City1 shot
0 on target

10 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 10 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.