RisingTransfers
AI DNA Similarity

Best Alternatives to Conor Coady

Players most similar to Conor Coady (Defender, €8.7M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Conor Coady

  1. 1.John Stones 88% DNA match·Manchester City€18.0M
  2. 2.Joe Gomez87% DNA match·Liverpool€15.0M
  3. 3.Adam Webster87% DNA match·Brighton & Hove Albion€7.0M

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

RT

Intelligence Verdict

Dribbled PastTop 0%
???Bottom 8%

Conor Coady is a Ball-Playing CB....

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Playing Style Analysis

Ball-Playing CBBall-PlayingSmall Sample

Conor Coady is a Ball-Playing CB. Progressive defender comfortable on the ball. Statistically, he stands out as meticulous in distribution (94% pass accuracy), wins the physical battle (61% duel success) and heavily involved in possession (91 passes/90). The three most similar players to Conor Coady by playing style are:

  • John Stones (88% match)A Ball-Playing CB. Statistically, he stands out as a regular goalscorer (0.33 goals/90), meticulous in distribution (91% pass accuracy), wins the physical battle (72% duel success), heavily involved in possession (66 passes/90), penetrates with forward passing (8.6 final-third passes/90) and central to possession (74 touches/90). Note: this profile is based on 546 minutes of playing time this season.
  • Joe Gomez(87% match)Joe Gomez is a Ball-Playing CB. Progressive defender comfortable on the ball. Statistically, he stands out as active in the tackle (2.3 tackles/90), meticulous in distribution (89% pass accuracy), wins the physical battle (66% duel success), heavily involved in possession (72 passes/90) and central to possession (85 touches/90).
  • Adam Webster(87% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (4.0 clearances/90), reads the game exceptionally (2.0 interceptions/90), meticulous in distribution (88% pass accuracy), wins the physical battle (64% duel success), heavily involved in possession (72 passes/90), penetrates with forward passing (10.8 final-third passes/90), central to possession (85 touches/90), uses long balls frequently (8.5/90) and active off the ball (2.3 press score/90), contributing to defensive transitions. Note: this profile is based on 888 minutes of playing time this season.

Transfer Intelligence

John Stones  delivers 88% of the same playing style, at a 107% premium over Conor Coady, and is 31 years old.

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

C
Comparison Base
Conor Coady
DefenderEngland€8.7M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
J
John Stones 
Manchester City · Premier League
England31yContract 2026
Tkl/900.00
KP/900.26
Ball-Playing CBBall-Playing
vs Coady: €9M more expensive · 2y younger
88% match
€18.0M
#2
J
Joe Gomez
Liverpool · Premier League
England28yContract 2027
Tkl/901.69
KP/901.01
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
vs Coady: €6M more expensive · 5y younger
87% match
€15.0M
#3
A
Adam Webster
Brighton & Hove Albion · Premier League
England31yContract 2026
Tkl/901.11
KP/900.30
Ball-Playing CBBall-Playing
vs Coady: 2y younger
87% match
€7.0M
#4
R
Robin Yalçın
Eyüpspor · Super Lig
Germany32y
Tkl/901.50
KP/900.22
Ball-Playing CB
Last 5: ↓ Dip
85% match
N/A
#5
A
Andreas Christensen
FC Barcelona · La Liga
Denmark30yContract 2026
Tkl/900.65
KP/900.33
Ball-Playing CBBall-Playing
85% match
€9.0M
#6
L
Ludvig Henriksen
B 93 · Superliga
Denmark24y
Tkl/901.71
KP/900.43
Ball-Playing CBBall-Playing
Last 5: → Stable
85% match
N/A
#7
P
Pedro Álvaro
Aris · Liga Portugal
Portugal26y
Tkl/901.33
KP/900.13
Ball-Playing CBAerial
Last 5: → Stable
85% match
N/A
#8
Z
Zak Johnson
York City · Premier League
EnglandContract 2026
Tkl/900.09
KP/900.17
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
85% match
N/A
#9
J
Jerome Opoku
İstanbul Başakşehir · Super Lig
Ghana27y
Tkl/900.75
KP/900.17
Ball-Playing CBAerial
Last 5: ↓ Dip
85% match
N/A
#10
G
Gabin Blancquart
VVV-Venlo · Eredivisie
France22yContract 2026
Tkl/901.25
KP/900.25
Ball-Playing CBAerial
Last 5: ↓ Dip
85% match
N/A
#11
O
Or Israelov
Estoril · Liga Portugal
Israel21y
Tkl/900.65
KP/900.00
Ball-Playing CBAerial
86% match
N/A
#12
J
Jóbson de Brito Gonzaga
Moreirense · Liga Portugal
Brazil32yContract 2026
Tkl/901.39
KP/900.07
Ball-Playing CBBall-Playing
Last 5: → Stable
85% match
N/A

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 Conor Coady.

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Frequently Asked Questions

Who are the best alternatives to Conor Coady?
The top alternatives to Conor Coady based on AI DNA playing style analysis include: John Stones , Joe Gomez, Adam Webster, Robin Yalçın, Andreas Christensen. 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 Conor Coady in 2026?
Players with a similar profile to Conor Coady in 2026 include John Stones  (€18.0M), Joe Gomez (€15.0M), Adam Webster (€7.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Conor Coady play and who plays similarly?
Conor Coady plays as a Defender. Players with a comparable positional profile include John Stones  (England, €18.0M); Joe Gomez (England, €15.0M); Adam Webster (England, €7.0M); Robin Yalçın (Germany, N/A).
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.