RisingTransfers
AI DNA Similarity

Best Alternatives to Harry Winks

Players most similar to Harry Winks (Midfielder, €5.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Harry Winks

  1. 1.Pierre-Emile Højbjerg84% DNA match·Olympique Marseille€18.0M
  2. 2.Rodrigo Bentancur  83% DNA match·Tottenham Hotspur€22.0M
  3. 3.Mikkel Damsgaard83% DNA match·Brentford€30.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 13%

Winks remains one of English football's most misread midfielders—a former Premier League regular...

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Playing Style Analysis

Metronome

Winks remains one of English football's most misread midfielders—a former Premier League regular now quietly dominating the Championship's passing lanes with a precision and ground-level authority that most players at this level simply cannot match. His 65.4 passes per 90 puts him in the top 5% of Championship midfielders, yet the volume never dilutes the quality: 87.7% accuracy is not a recycling act, it's a metronome with direction. His passes into the final third rank top 20%, which is where the surface narrative—"tidy but safe"—quietly falls apart. The three most similar players to Harry Winks by playing style are:

  • Pierre-Emile Højbjerg(84% match)A Metronome. Statistically, he stands out as meticulous in distribution (92% pass accuracy), heavily involved in possession (80 passes/90), penetrates with forward passing (11.3 final-third passes/90), central to possession (91 touches/90) and active off the ball (2.5 press score/90), contributing to defensive transitions. Note: this profile is based on 839 minutes of playing time this season.
  • Rodrigo Bentancur  (83% match)A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (2.5 tackles/90), reads the game exceptionally (1.6 interceptions/90), meticulous in distribution (86% pass accuracy), wins the physical battle (55% duel success), heavily involved in play (63 touches/90) and a high-intensity presser (press score 3.4/90), constantly disrupting opposition build-up.
  • Mikkel Damsgaard(83% match)A Creator. Statistically, he stands out as an elite creator (1.7 key passes/90), a reliable supplier (0.18 assists/90), an aggressive ball-winner (2.6 tackles/90), creates high-quality scoring opportunities (0.55 big chances/90), heavily involved in play (61 touches/90), a high-intensity presser (press score 3.2/90), constantly disrupting opposition build-up and top 20% creator in the league.

Transfer Intelligence

Pierre-Emile Højbjerg delivers 84% of the same playing style, at a 260% premium over Harry Winks, with 1.07 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 →

H
Comparison Base
Harry Winks
MidfielderEngland€5.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
P
Pierre-Emile Højbjerg
Olympique Marseille · Ligue 1
Denmark30yContract 2028
KP/901.07
G/900.11
MetronomeSmall Sample
vs Winks: €13M more expensive
84% match
€18.0M
#2
R
Rodrigo Bentancur  
Tottenham Hotspur · Premier League
Uruguay28yContract 2026
KP/900.52
G/900.05
Ball-WinnerDefensive
Last 5: ↓ Dip
vs Winks: €17M more expensive · 2y younger
83% match
€22.0M
#3
M
Mikkel Damsgaard
Brentford · Premier League
Denmark25yContract 2030
KP/901.74
G/900.18
CreatorCreative
Last 5: → Stable
vs Winks: €25M more expensive · 5y younger
83% match
€30.0M
#4
A
Amir Richardson
FC København · Serie A
France24yContract 2026
KP/900.65
G/900.09
Box-to-BoxDefensive
Last 5: ↓ Dip
82% match
€9.0M
#5
E
Ethan Ampadu
Leeds United · Premier League
Wales25yContract 2027
KP/900.58
G/900.03
Box-to-Box
Last 5: ↓ Dip
82% match
€20.0M
#6
S
Sandro Tonali
Newcastle United · Premier League
Italy26yContract 2028
KP/901.12
G/900.00
Ball-Winner
Last 5: → Stable
82% match
€80.0M
#7
M
Mathias Jensen
Brentford · Premier League
Denmark30yContract 2026
KP/901.36
G/900.13
Creator
Last 5: ↑ Hot
83% match
€12.0M
#8
A
Antoni Milambo
Brentford · Premier League
Netherlands21yContract 2030
KP/901.22
G/900.14
Creator
82% match
€20.0M
#9
F
Florian Wirtz
Liverpool · Premier League
Germany23yContract 2030
KP/902.34
G/900.19
CreatorCreative
Last 5: → Stable
82% match
€110.0M
#10
L
Lewis Cook
AFC Bournemouth · Premier League
England29yContract 2028
KP/901.13
G/900.00
Box-to-BoxDefensive
83% match
€13.0M
#11
A
Alex Scott
AFC Bournemouth · Premier League
England22yContract 2028
KP/900.88
G/900.10
Box-to-Box
Last 5: ↑ Hot
82% match
€40.0M
#12
J
Jacob Ramsey
Newcastle United · Premier League
England24y
KP/901.49
G/900.14
Box-to-Box
Last 5: ↑ Hot
82% match
€35.0M

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 Harry Winks.

Ask AI about Harry Winks

Frequently Asked Questions

Who are the best alternatives to Harry Winks?
The top alternatives to Harry Winks based on AI DNA playing style analysis include: Pierre-Emile Højbjerg, Rodrigo Bentancur  , Mikkel Damsgaard, Amir Richardson, Ethan Ampadu. 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 Harry Winks in 2026?
Players with a similar profile to Harry Winks in 2026 include Pierre-Emile Højbjerg (€18.0M), Rodrigo Bentancur   (€22.0M), Mikkel Damsgaard (€30.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Harry Winks play and who plays similarly?
Harry Winks plays as a Midfielder. Players with a comparable positional profile include Pierre-Emile Højbjerg (Denmark, €18.0M); Rodrigo Bentancur   (Uruguay, €22.0M); Mikkel Damsgaard (Denmark, €30.0M); Amir Richardson (France, €9.0M).
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.