RisingTransfers
AI DNA Similarity

Best Alternatives to Sergio Ramos

Players most similar to Sergio Ramos (Defender, €27.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Sergio Ramos

  1. 1.Jacobo Ramón83% DNA match·Como€18.0M
  2. 2.Johan Vásquez82% DNA match·Genoa€13.0M
  3. 3.Éder Militão 82% DNA match·Real Madrid€25.0M

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

RT

Intelligence Verdict

GoalsTop 6%

Ramos arriving in Liga MX at this stage of his career could have been a vanity lap—instead...

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Playing Style Analysis

Ball-Playing CBBall-PlayingAerial

Ramos arriving in Liga MX at this stage of his career could have been a vanity lap—instead, the data suggests something far more interesting. Operating for a top-tier side, he ranks in the top 5% for goals among defenders, a figure that quietly reframes him less as a veteran winding down and more as a set-piece weapon still genuinely threatening opposition defenses. His 73.1 passes per 90 places him among the league's most involved distributors, and his passes into the final third land in the top 10%—this is a defender actively constructing attacks, not just recycling possession. The three most similar players to Sergio Ramos by playing style are:

  • Jacobo Ramón(83% match)A Ball-Playing CB. Statistically, he stands out as active in the tackle (1.9 tackles/90), meticulous in distribution (91% pass accuracy), wins the physical battle (63% duel success), heavily involved in possession (73 passes/90), central to possession (87 touches/90), dominant in the air (3.7 aerials won/90, 70%) and active off the ball (2.4 press score/90), contributing to defensive transitions.
  • Johan Vásquez(82% match)A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (4.4 clearances/90), wins the physical battle (60% duel success), central to possession (72 touches/90), uses long balls frequently (7.5/90) and active off the ball (2.2 press score/90), contributing to defensive transitions.
  • Éder Militão (82% match)A Ball-Playing CB. Statistically, he stands out as active in the tackle (1.8 tackles/90), commanding in the air (4.7 clearances/90), meticulous in distribution (91% pass accuracy), wins the physical battle (61% duel success), central to possession (73 touches/90), uses long balls frequently (5.9/90) and active off the ball (2.4 press score/90), contributing to defensive transitions. Note: this profile is based on 687 minutes of playing time this season.

Transfer Intelligence

Jacobo Ramón delivers 83% of the same playing style, at 33% lower cost (€18.0M vs €27.0M), with 1.95 tackles won per 90 at age 21.

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

S
Comparison Base
Sergio Ramos
DefenderSpain€27.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
J
Jacobo Ramón
Como · Serie A
Spain21yContract 2030
Tkl/901.95
KP/900.43
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
vs Ramos: €9M cheaper · 19y younger
83% match
€18.0M
#2
J
Johan Vásquez
Genoa · Serie A
Mexico27yContract 2027
Tkl/901.67
KP/900.17
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Ramos: €14M cheaper · 13y younger
82% match
€13.0M
#3
É
Éder Militão 
Real Madrid · La Liga
Brazil28yContract 2028
Tkl/901.83
KP/900.66
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Ramos: 12y younger
82% match
€25.0M
#4
S
Sergio Carreira
Celta de Vigo · La Liga
Spain25yContract 2029
Tkl/901.39
KP/900.53
Active Full-Back
Last 5: → Stable
81% match
€6.0M
#5
V
Valentín Gómez
Real Betis · La Liga
Argentina22yContract 2030
Tkl/902.42
KP/900.48
Ball-Playing CBAerial
Last 5: ↓ Dip
82% match
€12.0M
#6
K
Kike Salas
Sevilla · La Liga
Spain24yContract 2029
Tkl/902.08
KP/900.22
Ball-Playing CBBall-Playing
Last 5: → Stable
82% match
€6.0M
#7
C
Carlos Romero
Espanyol · La Liga
Spain24yContract 2026
Tkl/903.07
KP/900.62
Last 5: → Stable
81% match
€25.0M
#8
E
Eric García
FC Barcelona · La Liga
Spain25yContract 2026
Tkl/902.70
KP/901.01
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
81% match
€35.0M
#9
S
Sergio Gómez
Real Sociedad · La Liga
Spain25yContract 2030
Tkl/903.48
KP/901.57
Active Full-Back
Last 5: ↓ Dip
81% match
€15.0M
#10
M
Mario Hermoso
Roma · Serie A
Spain30yContract 2027
Tkl/901.79
KP/900.60
Reading Defender
Last 5: ↑ Hot
82% match
€7.0M
#11
L
Lucas Hernández
Paris Saint Germain · Ligue 1
France30yContract 2028
Tkl/901.24
KP/900.79
Active Full-BackBall-Playing
Last 5: ↑ Hot
81% match
€20.0M
#12
V
Víctor Gómez
Sporting Braga · Liga Portugal
Spain26yContract 2028
Tkl/901.54
KP/901.17
Last 5: → Stable
81% match
€7.0M

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 Sergio Ramos.

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Frequently Asked Questions

Who are the best alternatives to Sergio Ramos?
The top alternatives to Sergio Ramos based on AI DNA playing style analysis include: Jacobo Ramón, Johan Vásquez, Éder Militão , Sergio Carreira, Valentín Gómez. 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 Sergio Ramos in 2026?
Players with a similar profile to Sergio Ramos in 2026 include Jacobo Ramón (€18.0M), Johan Vásquez (€13.0M), Éder Militão  (€25.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Sergio Ramos play and who plays similarly?
Sergio Ramos plays as a Defender. Players with a comparable positional profile include Jacobo Ramón (Spain, €18.0M); Johan Vásquez (Mexico, €13.0M); Éder Militão  (Brazil, €25.0M); Sergio Carreira (Spain, €6.0M).
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.