RisingTransfers
AI DNA Similarity

Best Alternatives to Mikel Merino

Players most similar to Mikel Merino (Midfielder, €30.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Mikel Merino

  1. 1.Diego Gómez85% DNA match·Brighton & Hove Albion€25.0M
  2. 2.Bruno Guimarães85% DNA match·Newcastle United€75.0M
  3. 3.Alex Scott85% DNA match·AFC Bournemouth€40.0M

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

RT

Intelligence Verdict

Aerials WonTop 0%

A Ball-Winner....

See Full Verdict + Share Card →

Playing Style Analysis

Ball-Winner

A Ball-Winner. Statistically, he stands out as naturally left-footed, a capable chance creator (1.1 key passes/90), a regular goalscorer (0.36 goals/90), a prolific assist provider (0.27 assists/90), active in the tackle (2.3 tackles/90) and active off the ball (2.5 press score/90), contributing to defensive transitions. However, he loses possession under pressure (1.6 dispossessed/90). The three most similar players to Mikel Merino by playing style are:

  • Diego Gómez(85% match)A Ball-Winner. Statistically, he stands out as a regular goalscorer (0.22 goals/90), an aggressive ball-winner (3.4 tackles/90), wins the ball cleanly (2.1 successful tackles/90), heavily involved in play (50 touches/90), active off the ball (2.6 press score/90), contributing to defensive transitions and top 10% tackler in the league.
  • Bruno Guimarães(85% match)A Creator. Statistically, he stands out as an elite creator (1.8 key passes/90), a regular goalscorer (0.35 goals/90), a reliable supplier (0.20 assists/90), active in the tackle (2.2 tackles/90), meticulous in distribution (86% pass accuracy), central to possession (73 touches/90), draws fouls effectively (2.6/90), active off the ball (2.6 press score/90), contributing to defensive transitions and top 20% creator in the league. However, he loses possession under pressure (1.7 dispossessed/90).
  • Alex Scott(85% match)A Box-to-Box. Statistically, he stands out as active in the tackle (1.9 tackles/90), wins the physical battle (55% duel success), heavily involved in play (63 touches/90) and a high-intensity presser (press score 3.1/90), constantly disrupting opposition build-up.

Transfer Intelligence

Diego Gómez delivers 85% of the same playing style, at 17% lower cost (€25.0M vs €30.0M), with 0.92 key passes per 90 at age 23.

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

M
Comparison Base
Mikel Merino
MidfielderSpain€30.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
D
Diego Gómez
Brighton & Hove Albion · Premier League
Paraguay23y
KP/900.92
G/900.22
Ball-WinnerDefensive
Last 5: ↓ Dip
vs Merino: 6y younger
85% match
€25.0M
#2
B
Bruno Guimarães
Newcastle United · Premier League
Brazil28yContract 2028
KP/901.80
G/900.35
CreatorCreative
Last 5: → Stable
vs Merino: €45M more expensive
85% match
€75.0M
#3
A
Alex Scott
AFC Bournemouth · Premier League
England22yContract 2028
KP/900.88
G/900.10
Box-to-Box
Last 5: ↑ Hot
vs Merino: €10M more expensive · 7y younger
85% match
€40.0M
#4
J
Jefferson Lerma
Crystal Palace · Premier League
Colombia31yContract 2026
KP/900.77
G/900.00
Box-to-Box
Last 5: → Stable
85% match
€8.0M
#5
B
Bruno Fernandes
Manchester United · Premier League
Portugal31yContract 2027
KP/903.89
G/900.25
CreatorCreative
Last 5: → Stable
84% match
€40.0M
#6
M
Morgan Gibbs-White
Nottingham Forest · Premier League
England26yContract 2027
KP/901.41
G/900.40
Creator
Last 5: ↓ Dip
84% match
€65.0M
#7
N
Nico González
Manchester City · Premier League
Spain24yContract 2029
KP/900.61
G/900.06
Metronome
Last 5: ↑ Hot
84% match
€45.0M
#8
D
Dominik Szoboszlai
Liverpool · Premier League
Hungary25yContract 2028
KP/902.00
G/900.18
CreatorCreative
Last 5: → Stable
84% match
€100.0M
#9
T
Tomáš Souček
West Ham United · Premier League
Czech Republic31yContract 2027
KP/900.44
G/900.22
Box-to-Box
Last 5: ↓ Dip
84% match
€12.0M
#10
S
Sean Longstaff
Leeds United · Premier League
England28yContract 2029
KP/902.28
G/900.18
Ball-WinnerCreative
Last 5: ↑ Hot
84% match
€18.0M
#11
M
Martín Zubimendi
Arsenal · Premier League
Spain27yContract 2030
KP/900.59
G/900.15
Metronome
Last 5: ↑ Hot
83% match
€80.0M
#12
J
João Gomes
Wolverhampton Wanderers · Premier League
Brazil25yContract 2030
KP/900.53
G/900.03
Ball-WinnerDefensive
Last 5: → Stable
83% match
€35.0M

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 Mikel Merino.

Ask AI about Mikel Merino

Frequently Asked Questions

Who are the best alternatives to Mikel Merino?
The top alternatives to Mikel Merino based on AI DNA playing style analysis include: Diego Gómez, Bruno Guimarães, Alex Scott, Jefferson Lerma, Bruno Fernandes. 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 Mikel Merino in 2026?
Players with a similar profile to Mikel Merino in 2026 include Diego Gómez (€25.0M), Bruno Guimarães (€75.0M), Alex Scott (€40.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Mikel Merino play and who plays similarly?
Mikel Merino plays as a Midfielder. Players with a comparable positional profile include Diego Gómez (Paraguay, €25.0M); Bruno Guimarães (Brazil, €75.0M); Alex Scott (England, €40.0M); Jefferson Lerma (Colombia, €8.0M).
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.