RisingTransfers
AI DNA Similarity

Best Alternatives to Chema Andrés

Players most similar to Chema Andrés (Midfielder, €15.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Chema Andrés

  1. 1.Cameron Puertas87% DNA match·Werder Bremen€10.0M
  2. 2.Vinicius de Souza Costa87% DNA match·VfL Wolfsburg€12.0M
  3. 3.Felix Nmecha87% DNA match·Borussia Dortmund€45.0M

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

RT

Intelligence Verdict

Aerials WonTop 3%
???Bottom 0%

A Box-to-Box....

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Playing Style Analysis

Box-to-Box

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. The three most similar players to Chema Andrés by playing style are:

  • Cameron Puertas(87% match)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.
  • Vinicius de Souza Costa(87% match)A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (2.7 tackles/90), reads the game exceptionally (2.0 interceptions/90), wins the physical battle (61% duel success), dominant in the air (3.3 aerials won/90, 73%) and a high-intensity presser (press score 3.1/90), constantly disrupting opposition build-up. However, he prone to committing fouls (2.5/90).
  • Felix Nmecha(87% match)A Box-to-Box. Statistically, he stands out as meticulous in distribution (88% pass accuracy), wins the physical battle (62% duel success), heavily involved in play (64 touches/90) and active off the ball (2.7 press score/90), contributing to defensive transitions. Note: this profile is based on 760 minutes of playing time this season.

Transfer Intelligence

Cameron Puertas delivers 87% of the same playing style, at 33% lower cost (€10.0M vs €15.0M), with 1.54 key passes per 90 at age 27.

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

C
Comparison Base
Chema Andrés
MidfielderSpain€15.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
C
Cameron Puertas
Werder Bremen · Bundesliga
Spain27yContract 2026
KP/901.54
G/900.00
Box-to-BoxDefensive
vs Andrés: 6y older
87% match
€10.0M
#2
V
Vinicius de Souza Costa
VfL Wolfsburg · Bundesliga
Brazil26yContract 2030
KP/900.42
G/900.00
Ball-WinnerDefensive
Last 5: → Stable
vs Andrés: 5y older
87% match
€12.0M
#3
F
Felix Nmecha
Borussia Dortmund · Bundesliga
Germany25yContract 2028
KP/900.81
G/900.12
Box-to-BoxSmall Sample
Last 5: ↓ Dip
vs Andrés: €30M more expensive · 4y older
87% match
€45.0M
#4
A
Aljoscha Kemlein
FC Union Berlin · Bundesliga
Germany21y
KP/901.02
G/900.00
Box-to-Box
86% match
€9.0M
#5
M
Maximilian Eggestein
SC Freiburg · Bundesliga
Germany29y
KP/900.56
G/900.16
Ball-WinnerDefensive
Last 5: ↓ Dip
85% match
€10.0M
#6
I
Ibrahim Maza
Bayer 04 Leverkusen · Bundesliga
Algeria20yContract 2030
KP/901.49
G/900.00
Creator
Last 5: → Stable
86% match
€25.0M
#7
F
Farès Chaïbi
Eintracht Frankfurt · Bundesliga
Algeria23yContract 2028
KP/901.92
G/900.15
CreatorCreative
86% match
€15.0M
#8
E
Ezequiel Fernández
Bayer 04 Leverkusen · Bundesliga
Argentina23yContract 2030
KP/901.03
G/900.00
Ball-WinnerDefensive
Last 5: ↓ Dip
86% match
€25.0M
#9
Y
Yan Couto
Borussia Dortmund · Bundesliga
Brazil23yContract 2030
KP/901.08
G/900.22
Box-to-BoxCreative
85% match
€20.0M
#10
S
Santi Comesaña
Villarreal · La Liga
Spain29yContract 2028
KP/900.73
G/900.10
Box-to-Box
Last 5: → Stable
85% match
€8.0M
#11
C
Cajetan Lenz
VfL Bochum 1848 · Bundesliga
Germany19yContract 2029
KP/900.52
G/900.13
Ball-Winner
Last 5: ↑ Hot
85% match
€6.0M
#12
N
Nicolas Seiwald
RB Leipzig · Bundesliga
Austria25yContract 2028
KP/900.58
G/900.00
Ball-WinnerDefensive
Last 5: → Stable
85% match
€22.0M

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 Chema Andrés.

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Frequently Asked Questions

Who are the best alternatives to Chema Andrés?
The top alternatives to Chema Andrés based on AI DNA playing style analysis include: Cameron Puertas, Vinicius de Souza Costa, Felix Nmecha, Aljoscha Kemlein, Maximilian Eggestein. 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 Chema Andrés in 2026?
Players with a similar profile to Chema Andrés in 2026 include Cameron Puertas (€10.0M), Vinicius de Souza Costa (€12.0M), Felix Nmecha (€45.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Chema Andrés play and who plays similarly?
Chema Andrés plays as a Midfielder. Players with a comparable positional profile include Cameron Puertas (Spain, €10.0M); Vinicius de Souza Costa (Brazil, €12.0M); Felix Nmecha (Germany, €45.0M); Aljoscha Kemlein (Germany, €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.