RisingTransfers
AI DNA Similarity

Best Alternatives to Cameron Carter-Vickers

Players most similar to Cameron Carter-Vickers (Defender, €13.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Cameron Carter-Vickers

  1. 1.Ben Davies 87% DNA match·Tottenham Hotspur€5.0M
  2. 2.Çağlar Söyüncü87% DNA match·Fenerbahçe€6.0M
  3. 3.Ethan Pinnock87% DNA match·Brentford€4.0M

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

RT

Intelligence Verdict

Ball RecoveriesTop 3%
???Bottom 16%

Cameron Carter-Vickers is a Ball-Playing CB....

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Playing Style Analysis

Ball-Playing CBBall-PlayingAerial

Cameron Carter-Vickers is a Ball-Playing CB. Progressive defender comfortable on the ball. Statistically, he stands out as commanding in the air (4.9 clearances/90), meticulous in distribution (94% pass accuracy), wins the physical battle (69% duel success), heavily involved in possession (109 passes/90), central to possession (120 touches/90) and dominant in the air (4.2 aerials won/90, 74%). The three most similar players to Cameron Carter-Vickers by playing style are:

  • Ben Davies (87% match)Ben Davies is a Ball-Playing CB. Progressive defender comfortable on the ball. Statistically, he stands out as naturally left-footed, commanding in the air (5.3 clearances/90), meticulous in distribution (88% pass accuracy), heavily involved in possession (68 passes/90), central to possession (81 touches/90), strong in aerial duels (3.6 aerials won/90) and uses long balls frequently (5.6/90).
  • Çağlar Söyüncü(87% match)Caglar Söyüncü is a Ball-Playing CB. Progressive defender comfortable on the ball. Statistically, he stands out as comfortable with both feet, active in the tackle (2.2 tackles/90), commanding in the air (4.3 clearances/90), reads the game exceptionally (1.6 interceptions/90), wins the physical battle (63% duel success) and dominant in the air (3.7 aerials won/90, 64%).
  • Ethan Pinnock(87% match)A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (6.5 clearances/90), meticulous in distribution (87% pass accuracy), wins the physical battle (59% duel success) and dominant in the air (3.0 aerials won/90, 61%).

Transfer Intelligence

Ben Davies  delivers 87% of the same playing style, at 62% lower cost (€5.0M vs €13.0M), with 1.23 tackles won per 90 at age 33.

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

C
Comparison Base
Cameron Carter-Vickers
DefenderUnited States€13.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
B
Ben Davies 
Tottenham Hotspur · Premier League
Wales33yContract 2026
Tkl/901.23
KP/900.15
Ball-Playing CBBall-Playing
vs Carter-Vickers: €8M cheaper · 5y older
87% match
€5.0M
#2
Ç
Çağlar Söyüncü
Fenerbahçe · Super Lig
Turkey29yContract 2027
Tkl/902.23
KP/900.62
Ball-Playing CBAerial
Last 5: → Stable
vs Carter-Vickers: €7M cheaper
87% match
€6.0M
#3
E
Ethan Pinnock
Brentford · Premier League
Jamaica32yContract 2027
Tkl/901.40
KP/900.00
Ball-Playing CBAerial
vs Carter-Vickers: €9M cheaper · 4y older
87% match
€4.0M
#4
J
Jerome Opoku
İstanbul Başakşehir · Super Lig
Ghana27y
Tkl/900.75
KP/900.17
Ball-Playing CBAerial
Last 5: ↓ Dip
87% match
N/A
#5
G
Gabin Blancquart
VVV-Venlo · Eredivisie
France22yContract 2026
Tkl/901.25
KP/900.25
Ball-Playing CBAerial
Last 5: ↓ Dip
87% match
N/A
#6
J
José Fontán
Arouca · Liga Portugal
Spain26y
Tkl/901.06
KP/900.49
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
86% match
N/A
#7
A
Adam Webster
Brighton & Hove Albion · Premier League
England31yContract 2026
Tkl/901.11
KP/900.30
Ball-Playing CBBall-Playing
86% match
€7.0M
#8
J
Joe Gomez
Liverpool · Premier League
England28yContract 2027
Tkl/901.69
KP/901.01
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
86% match
€15.0M
#9
J
Joris Kramer
Go Ahead Eagles · Eredivisie
Netherlands29yContract 2028
Tkl/900.80
KP/900.49
Ball-Playing CBBall-Playing
Last 5: → Stable
86% match
N/A
#10
M
Mawouna Amevor
FC Volendam · Eredivisie
Togo34y
Tkl/900.88
KP/900.27
Ball-Playing CBAerial
Last 5: → Stable
86% match
N/A
#11
J
Jóbson de Brito Gonzaga
Moreirense · Liga Portugal
Brazil32yContract 2026
Tkl/901.39
KP/900.07
Ball-Playing CBBall-Playing
Last 5: → Stable
86% match
N/A
#12
A
Andreas Heimer
B 93 · Superliga
Denmark28y
Tkl/901.79
KP/900.36
Ball-Playing CBBall-Playing
Last 5: → Stable
86% 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 Cameron Carter-Vickers.

Ask AI about Cameron Carter-Vickers

Frequently Asked Questions

Who are the best alternatives to Cameron Carter-Vickers?
The top alternatives to Cameron Carter-Vickers based on AI DNA playing style analysis include: Ben Davies , Çağlar Söyüncü, Ethan Pinnock, Jerome Opoku, Gabin Blancquart. 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 Cameron Carter-Vickers in 2026?
Players with a similar profile to Cameron Carter-Vickers in 2026 include Ben Davies  (€5.0M), Çağlar Söyüncü (€6.0M), Ethan Pinnock (€4.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Cameron Carter-Vickers play and who plays similarly?
Cameron Carter-Vickers plays as a Defender. Players with a comparable positional profile include Ben Davies  (Wales, €5.0M); Çağlar Söyüncü (Turkey, €6.0M); Ethan Pinnock (Jamaica, €4.0M); Jerome Opoku (Ghana, 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.