RisingTransfers
AI DNA Similarity

Best Alternatives to Cameron Puertas

Players most similar to Cameron Puertas (Midfielder, €10.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Cameron Puertas

  1. 1.Chema Andrés87% DNA match·VfB Stuttgart€15.0M
  2. 2.Ezequiel Fernández86% DNA match·Bayer 04 Leverkusen€25.0M
  3. 3.Han-Noah Massengo86% DNA match·FC Augsburg€5.0M

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

RT

Intelligence Verdict

Tackles WonTop 1%
???Bottom 0%

A Box-to-Box....

See Full Verdict + Share Card →

Playing Style Analysis

Box-to-BoxDefensive

A Box-to-Box. Statistically, he stands out as a capable chance creator (1.4 key passes/90), an aggressive ball-winner (2.7 tackles/90), meticulous in distribution (86% pass accuracy), wins the ball cleanly (1.8 successful tackles/90), heavily involved in play (66 touches/90), active off the ball (2.7 press score/90), contributing to defensive transitions and top 10% tackler in the league. The three most similar players to Cameron Puertas by playing style are:

  • Chema Andrés(87% match)A Box-to-Box. Statistically, he stands out as a capable chance creator (1.2 key passes/90), active in the tackle (2.2 tackles/90), reads the game exceptionally (2.0 interceptions/90), meticulous in distribution (85% pass accuracy), wins the physical battle (60% duel success), heavily involved in play (68 touches/90), strong in aerial duels (3.8 aerials won/90) and a high-intensity presser (press score 3.3/90), constantly disrupting opposition build-up.
  • Ezequiel Fernández(86% match)A Ball-Winner. Statistically, he stands out as naturally left-footed, an aggressive ball-winner (2.9 tackles/90), meticulous in distribution (90% pass accuracy), wins the physical battle (56% duel success), heavily involved in possession (75 passes/90), central to possession (93 touches/90), draws fouls effectively (2.2/90), a high-intensity presser (press score 3.3/90), constantly disrupting opposition build-up and top 10% tackler in the league.
  • Han-Noah Massengo(86% match)A Box-to-Box. Statistically, he stands out as active in the tackle (1.9 tackles/90), wins the physical battle (60% duel success), heavily involved in play (65 touches/90) and a high-intensity presser (press score 3.1/90), constantly disrupting opposition build-up. Note: this profile is based on 714 minutes of playing time this season.

Transfer Intelligence

Chema Andrés delivers 87% of the same playing style, at a 50% premium over Cameron Puertas, with 2.14 key passes per 90 at age 21.

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

C
Comparison Base
Cameron Puertas
MidfielderSpain€10.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
C
Chema Andrés
VfB Stuttgart · Bundesliga
Spain21yContract 2030
KP/902.14
G/900.18
Box-to-Box
Last 5: ↑ Hot
vs Puertas: 6y younger
87% match
€15.0M
#2
E
Ezequiel Fernández
Bayer 04 Leverkusen · Bundesliga
Argentina23yContract 2030
KP/901.03
G/900.00
Ball-WinnerDefensive
Last 5: ↓ Dip
vs Puertas: €15M more expensive · 4y younger
86% match
€25.0M
#3
H
Han-Noah Massengo
FC Augsburg · Bundesliga
France24yContract 2030
KP/900.69
G/900.00
Box-to-BoxSmall Sample
vs Puertas: 3y younger
86% match
€5.0M
#4
K
Kaishu Sano
Japan · Bundesliga
Japan25yContract 2028
KP/900.79
G/900.00
Box-to-Box
Last 5: → Stable
85% match
€25.0M
#5
Y
Yan Couto
Borussia Dortmund · Bundesliga
Brazil23yContract 2030
KP/901.08
G/900.22
Box-to-BoxCreative
85% match
€20.0M
#6
A
Aleix García
Bayer 04 Leverkusen · Bundesliga
Spain28yContract 2026
KP/900.72
G/900.18
MetronomeSmall Sample
Last 5: ↑ Hot
84% match
€20.0M
#7
W
Wouter Burger
TSG Hoffenheim · Bundesliga
Netherlands25yContract 2030
KP/902.15
G/900.13
Box-to-BoxCreative
Last 5: → Stable
85% match
€9.0M
#8
V
Vinicius de Souza Costa
VfL Wolfsburg · Bundesliga
Brazil26yContract 2030
KP/900.42
G/900.00
Ball-WinnerDefensive
Last 5: → Stable
85% match
€12.0M
#9
A
Aleksandar Pavlovic
FC Bayern München · Bundesliga
Germany22yContract 2029
KP/901.30
G/900.08
Metronome
Last 5: → Stable
85% match
€75.0M
#10
E
Eric Martel
FC Köln · Bundesliga
Germany24yContract 2026
KP/900.93
G/900.16
MetronomeSmall Sample
84% match
€8.0M
#11
R
Romano Schmid
Werder Bremen · Bundesliga
Austria26yContract 2025
KP/902.69
G/900.08
CreatorCreative
84% match
€17.0M
#12
D
Denis Huseinbasic
FC Köln · Bundesliga
Germany24yContract 2027
KP/900.79
G/900.00
Balanced MidfielderSmall Sample
85% match
€3.0M

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 Cameron Puertas.

Ask AI about Cameron Puertas

Frequently Asked Questions

Who are the best alternatives to Cameron Puertas?
The top alternatives to Cameron Puertas based on AI DNA playing style analysis include: Chema Andrés, Ezequiel Fernández, Han-Noah Massengo, Kaishu Sano, Yan Couto. 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 Puertas in 2026?
Players with a similar profile to Cameron Puertas in 2026 include Chema Andrés (€15.0M), Ezequiel Fernández (€25.0M), Han-Noah Massengo (€5.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Cameron Puertas play and who plays similarly?
Cameron Puertas plays as a Midfielder. Players with a comparable positional profile include Chema Andrés (Spain, €15.0M); Ezequiel Fernández (Argentina, €25.0M); Han-Noah Massengo (France, €5.0M); Kaishu Sano (Japan, €25.0M).
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.