RisingTransfers
AI DNA Similarity

Best Alternatives to Sam Clucas

Players most similar to Sam Clucas (Midfielder, €6.7M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Sam Clucas

  1. 1.Josh Cullen83% DNA match·Burnley€6.0M
  2. 2.Tim Iroegbunam82% DNA match·Everton€12.0M
  3. 3.Lewis Cook82% DNA match·AFC Bournemouth€13.0M

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

RT

Intelligence Verdict

AssistsTop 17%

A Creator....

See Full Verdict + Share Card →

Playing Style Analysis

Creator

A Creator. Statistically, he stands out as a capable chance creator (1.4 key passes/90), a reliable supplier (0.16 assists/90), active in the tackle (2.3 tackles/90), penetrates with forward passing (8.6 final-third passes/90), heavily involved in play (61 touches/90), uses long balls frequently (6.5/90) and active off the ball (2.5 press score/90), contributing to defensive transitions. The three most similar players to Sam Clucas by playing style are:

  • Josh Cullen(83% match)A Balanced Midfielder. Statistically, he stands out as active in the tackle (1.8 tackles/90), wins the physical battle (55% duel success), penetrates with forward passing (9.2 final-third passes/90), heavily involved in play (64 touches/90), uses long balls frequently (5.7/90) and active off the ball (2.5 press score/90), contributing to defensive transitions.
  • Tim Iroegbunam(82% match)A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (4.2 tackles/90), wins the physical battle (57% duel success), wins the ball cleanly (2.8 successful tackles/90), a high-intensity presser (press score 3.1/90), constantly disrupting opposition build-up and top 10% tackler in the league. However, he loses possession under pressure (1.6 dispossessed/90).
  • Lewis Cook(82% match)A Box-to-Box. Statistically, he stands out as a capable chance creator (1.1 key passes/90), an aggressive ball-winner (2.7 tackles/90), reads the game exceptionally (2.6 interceptions/90), meticulous in distribution (87% pass accuracy), wins the physical battle (61% duel success), heavily involved in play (69 touches/90), uses long balls frequently (5.6/90) and a high-intensity presser (press score 3.9/90), constantly disrupting opposition build-up. Note: this profile is based on 877 minutes of playing time this season.

Transfer Intelligence

Josh Cullen delivers 83% of the same playing style, with 0.77 key passes per 90 at age 30.

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

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Comparison Base
Sam Clucas
MidfielderEngland€6.7M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
J
Josh Cullen
Burnley · Premier League
Republic of Ireland30yContract 2027
KP/900.77
G/900.12
Balanced Midfielder
vs Clucas: 5y younger
83% match
€6.0M
#2
T
Tim Iroegbunam
Everton · Premier League
England22yContract 2027
KP/900.47
G/900.00
Ball-WinnerDefensive
Last 5: → Stable
vs Clucas: €5M more expensive · 13y younger
82% match
€12.0M
#3
L
Lewis Cook
AFC Bournemouth · Premier League
England29yContract 2028
KP/901.13
G/900.00
Box-to-BoxDefensive
vs Clucas: €6M more expensive · 6y younger
82% match
€13.0M
#4
W
Will Hughes
Crystal Palace · Premier League
England31yContract 2027
KP/901.20
G/900.00
Box-to-Box
Last 5: ↓ Dip
82% match
€6.0M
#5
A
Alex Scott
AFC Bournemouth · Premier League
England22yContract 2028
KP/900.88
G/900.10
Box-to-Box
Last 5: ↑ Hot
81% match
€40.0M
#6
R
Ryan Yates 
Nottingham Forest · Premier League
England28yContract 2028
KP/900.65
G/900.26
Ball-WinnerSmall Sample
Last 5: ↓ Dip
82% match
€10.0M
#7
J
James Garner
Everton · Premier League
England25yContract 2026
KP/901.48
G/900.06
Ball-WinnerDefensive
Last 5: → Stable
81% match
€35.0M
#8
A
Antoni Milambo
Brentford · Premier League
Netherlands21yContract 2030
KP/901.22
G/900.14
Creator
80% match
€20.0M
#9
Y
Yan Couto
Borussia Dortmund · Bundesliga
Brazil23yContract 2030
KP/901.08
G/900.22
Box-to-BoxCreative
80% match
€20.0M
#10
S
Sean Longstaff
Leeds United · Premier League
England28yContract 2029
KP/902.28
G/900.18
Ball-WinnerCreative
Last 5: ↑ Hot
81% match
€18.0M
#11
M
Mats Wieffer
Brighton & Hove Albion · Premier League
Netherlands26yContract 2029
KP/900.99
G/900.10
Ball-WinnerDefensive
Last 5: ↓ Dip
80% match
€25.0M
#12
E
Enzo Le Fée
Sunderland · Premier League
France26yContract 2029
KP/901.57
G/900.13
CreatorCreative
Last 5: ↑ Hot
80% match
€25.0M

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 Sam Clucas.

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Frequently Asked Questions

Who are the best alternatives to Sam Clucas?
The top alternatives to Sam Clucas based on AI DNA playing style analysis include: Josh Cullen, Tim Iroegbunam, Lewis Cook, Will Hughes, Alex Scott. 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 Sam Clucas in 2026?
Players with a similar profile to Sam Clucas in 2026 include Josh Cullen (€6.0M), Tim Iroegbunam (€12.0M), Lewis Cook (€13.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Sam Clucas play and who plays similarly?
Sam Clucas plays as a Midfielder. Players with a comparable positional profile include Josh Cullen (Republic of Ireland, €6.0M); Tim Iroegbunam (England, €12.0M); Lewis Cook (England, €13.0M); Will Hughes (England, €6.0M).
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.