Nottingham Forest · Brazil
FOOTBALL MANAGER 26 · PLAYER COMPARISON
Compare broad role fit, playing style and development outlook. Exact in-game attributes are not reproduced.
Nottingham Forest · Brazil
Bologna · Scotland
CURRENT READINESS
The two profiles sit in the same broad current-level band, so tactical role and squad context should drive the decision.
DEVELOPMENT OUTLOOK
Their development outlook is in the same qualitative band, with Lewis Ferguson the younger option at the FM26 launch snapshot.
QUALITATIVE COMPARISON
| Category | Douglas Luiz | Lewis Ferguson |
|---|---|---|
| Position | CM | CM |
| FM26 launch age | 27 | 26 |
| Club | Nottingham Forest | Bologna |
| Country | Brazil | Scotland |
| Role profile | Progressor | Progressor |
| Playing style | Balances forward support with counter-pressure, helping the team sustain attacks instead of treating each progression as a separate action. | Links deeper circulation to attacking midfield through combinations, carries and well-timed movement into the half-space. |
| Technical band | Very good | Very good |
| Physical band | Very good | Very good |
| Mental band | Very good | Very good |
| Current level | Good | Good |
| Potential | Very good | Very good |
| Suggested FM26 role | Central Midfielder · Support | Central Midfielder · Support |
| Primary system | Build from the back / controlled possession | Build from the back / controlled possession |
CHOOSE FOR THIS ROLE
Use as a Central Midfielder on support in a 4-3-3 or balanced double pivot. Provide a fixed partner behind when carries or forward rotations move him beyond the ball.
Open full report →CHOOSE FOR THIS ROLE
Use as a Central Midfielder on support in a 4-3-3 or balanced double pivot. Provide a fixed partner behind when carries or forward rotations move him beyond the ball.
Open full report →MORE FM26 COMPARISONS
FM26 COMPARISON FAQ
There is no universal winner. Compare their role profile, current readiness, development outlook and fit with your tactical structure before choosing.
No. SquadCompass uses original qualitative bands and editorial role analysis rather than reproducing exact in-game attributes.