RisingTransfers
AI DNA Similarity

Best Alternatives to Fred

Players most similar to Fred (Midfielder, €7.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Fred

  1. 1.Bruno Fernandes85% DNA match·Manchester United€40.0M
  2. 2.Elliot Anderson85% DNA match·Nottingham Forest€60.0M
  3. 3.Casemiro85% DNA match·Manchester United€8.0M

Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.

RT

Intelligence Verdict

ShotsTop 6%
???Bottom 14%

Fred operates as a one-man distribution engine in the Super Lig...

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Playing Style Analysis

CreatorCreativeDefensive

Fred operates as a one-man distribution engine in the Super Lig, combining elite-level volume passing with genuine forward intent in a way few midfielders in this league can match. His 62.5 passes per 90 and 11.05 passes into the final third both land in the top 5% — not recycling possession but actively threading the game forward. The counterintuitive read here is his shot rate: 2.66 per 90 puts him in the top 5%, suggesting a midfielder who isn't just the connector but arrives with purpose in dangerous areas. The three most similar players to Fred by playing style are:

  • Bruno Fernandes(85% match)A Creator. Statistically, he stands out as an elite creator (3.9 key passes/90), a regular goalscorer (0.25 goals/90), a prolific assist provider (0.59 assists/90), creates high-quality scoring opportunities (0.90 big chances/90), penetrates with forward passing (10.4 final-third passes/90), central to possession (78 touches/90), switches play with precision (6.9 long balls/90, 61% accuracy), active off the ball (2.5 press score/90), contributing to defensive transitions and top 10% creator in the league.
  • Elliot Anderson(85% match)A Metronome. Statistically, he stands out as an elite creator (1.5 key passes/90), an aggressive ball-winner (2.8 tackles/90), meticulous in distribution (85% pass accuracy), heavily involved in possession (64 passes/90), penetrates with forward passing (10.2 final-third passes/90), central to possession (89 touches/90), draws fouls effectively (2.1/90), uses long balls frequently (6.0/90) and a high-intensity presser (press score 4.1/90), constantly disrupting opposition build-up. However, he loses possession under pressure (1.7 dispossessed/90).
  • Casemiro(85% match)A Ball-Winner. Statistically, he stands out as a capable chance creator (1.2 key passes/90), a regular goalscorer (0.36 goals/90), an aggressive ball-winner (3.2 tackles/90), penetrates with forward passing (8.4 final-third passes/90), central to possession (74 touches/90), uses long balls frequently (5.5/90), active off the ball (2.7 press score/90), contributing to defensive transitions and top 10% tackler in the league.

Transfer Intelligence

Bruno Fernandes delivers 85% of the same playing style, at a 471% premium over Fred, with 3.89 key passes per 90 at age 31.

Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →

F
Comparison Base
Fred
MidfielderBrazil€7.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
B
Bruno Fernandes
Manchester United · Premier League
Portugal31yContract 2027
KP/903.89
G/900.25
CreatorCreative
Last 5: → Stable
vs Fred: €33M more expensive · 2y younger
85% match
€40.0M
#2
E
Elliot Anderson
Nottingham Forest · Premier League
Scotland23yContract 2029
KP/901.50
G/900.11
MetronomeCreative
Last 5: ↓ Dip
vs Fred: €53M more expensive · 10y younger
85% match
€60.0M
#3
C
Casemiro
Manchester United · Premier League
Brazil34yContract 2026
KP/901.22
G/900.36
Ball-WinnerDefensive
Last 5: → Stable
85% match
€8.0M
#4
L
Lucas Torreira
Galatasaray · Super Lig
Uruguay30yContract 2028
KP/900.97
G/900.12
Metronome
Last 5: ↓ Dip
85% match
€12.0M
#5
M
Mateus Fernandes
West Ham United · Premier League
Portugal21yContract 2030
KP/901.07
G/900.10
Ball-WinnerDefensive
Last 5: → Stable
84% match
€32.0M
#6
D
Diogo Gonçalves
Konyaspor · Super Lig
Portugal29yContract 2026
G/900.81
A/900.00
Left WingCreator
Last 5: → Stable
84% match
€3.0M
#7
K
Kacper Kozlowski
Gaziantep F.K. · Super Lig
Poland22yContract 2027
KP/901.23
G/900.21
Creator
Last 5: ↑ Hot
84% match
€5.0M
#8
A
Amine Harit
İstanbul Başakşehir · Super Lig
Morocco28y
KP/902.21
G/900.12
Box-to-BoxCreative
Last 5: ↓ Dip
84% match
€5.0M
#9
C
Christ Inao Oulaï
Trabzonspor · Super Lig
Ivory Coast20yContract 2030
KP/901.75
G/900.09
Box-to-BoxCreative
Last 5: → Stable
84% match
€8.0M
#10
A
Alexandru Maxim
Gaziantep F.K. · Super Lig
Romania35y
KP/903.31
G/900.17
Box-to-BoxCreative
Last 5: → Stable
83% match
€3.0M
#11
D
Diego Rodrigues
Sporting Braga · Liga Portugal
Portugal20yContract 2027
KP/902.02
G/900.11
Box-to-BoxCreative
Last 5: → Stable
84% match
€4.5M
#12
F
Flavien Tait
Rodez · Super Lig
France33y
KP/901.49
G/900.00
Box-to-Box
83% match
€9.0M

Ask AI: Why are these players similar?

Our 768-dimension Player DNA model matches playing style, physical profile, pressing intensity, and tactical fit. Ask the AI to explain exactly what makes these players statistically similar to Fred.

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Frequently Asked Questions

Who are the best alternatives to Fred?
The top alternatives to Fred based on AI DNA playing style analysis include: Bruno Fernandes, Elliot Anderson, Casemiro, Lucas Torreira, Mateus Fernandes. These players were matched using Rising Transfers' 768-dimension DNA model across playing style, pressing intensity, and tactical fit — not just position or market value.
Which players are similar to Fred in 2026?
Players with a similar profile to Fred in 2026 include Bruno Fernandes (€40.0M), Elliot Anderson (€60.0M), Casemiro (€8.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Fred play and who plays similarly?
Fred plays as a Midfielder. Players with a comparable positional profile include Bruno Fernandes (Portugal, €40.0M); Elliot Anderson (Scotland, €60.0M); Casemiro (Brazil, €8.0M); Lucas Torreira (Uruguay, €12.0M).
How does Rising Transfers find similar players?
Rising Transfers uses a proprietary 768-dimension Player DNA model trained on 3.2 million match events. Each player is represented as a vector across 35+ per-90 metrics including pressing intensity, passing footprint, dribbling profile, and defensive contribution. Similarity is measured using cosine distance — the same technique used in state-of-the-art AI systems — making it the most precise player comparison tool available publicly.