RisingTransfers
AI DNA Similarity

Best Alternatives to Marcos Alonso

Players most similar to Marcos Alonso (Defender, €1.4M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Marcos Alonso

  1. 1.Andrés García85% DNA match·Aston Villa€7.0M
  2. 2.Calvin Verdonk85% DNA match·LOSC Lille€3.0M
  3. 3.Pau Torres84% DNA match·Aston Villa€22.0M

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

RT

Intelligence Verdict

Press IntensityTop 9%

A Ball-Playing CB....

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Playing Style Analysis

Ball-Playing CBBall-PlayingAerial

A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (5.1 clearances/90), meticulous in distribution (90% pass accuracy), wins the physical battle (59% duel success), heavily involved in possession (75 passes/90), penetrates with forward passing (9.9 final-third passes/90), central to possession (90 touches/90), uses long balls frequently (7.5/90) and active off the ball (2.7 press score/90), contributing to defensive transitions. The three most similar players to Marcos Alonso by playing style are:

  • Andrés García(85% match)A Active Full-Back. Statistically, he stands out as a capable chance creator (1.5 key passes/90), active in the tackle (2.0 tackles/90), creates high-quality scoring opportunities (0.59 big chances/90) and uses long balls frequently (5.2/90).
  • Calvin Verdonk(85% match)A Active Full-Back. Statistically, he stands out as naturally left-footed, a capable chance creator (1.1 key passes/90), active in the tackle (1.9 tackles/90), reads the game exceptionally (1.9 interceptions/90), wins the physical battle (64% duel success), heavily involved in possession (62 passes/90), penetrates with forward passing (9.0 final-third passes/90), central to possession (87 touches/90) and a high-intensity presser (press score 3.4/90), constantly disrupting opposition build-up. Note: this profile is based on 578 minutes of playing time this season.
  • Pau Torres(84% match)A Ball-Playing CB. Statistically, he stands out as naturally left-footed, meticulous in distribution (89% pass accuracy), wins the physical battle (57% duel success), heavily involved in possession (64 passes/90), penetrates with forward passing (8.8 final-third passes/90), central to possession (74 touches/90), uses long balls frequently (6.9/90) and active off the ball (2.2 press score/90), contributing to defensive transitions.

Transfer Intelligence

Andrés García delivers 85% of the same playing style, at a 400% premium over Marcos Alonso, with 1.99 tackles won 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
Marcos Alonso
DefenderSpain€1.4M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
A
Andrés García
Aston Villa · Premier League
Spain23y
Tkl/901.99
KP/901.46
Active Full-Back
Last 5: ↑ Hot
vs Alonso: €6M more expensive · 12y younger
85% match
€7.0M
#2
C
Calvin Verdonk
LOSC Lille · Ligue 1
Netherlands29yContract 2028
Tkl/903.05
KP/901.22
Active Full-BackBall-Playing
Last 5: ↓ Dip
vs Alonso: 6y younger
85% match
€3.0M
#3
P
Pau Torres
Aston Villa · Premier League
Spain29yContract 2028
Tkl/901.26
KP/900.06
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
vs Alonso: €21M more expensive · 6y younger
84% match
€22.0M
#4
S
Sergio Gómez
Real Sociedad · La Liga
Spain25yContract 2030
Tkl/903.48
KP/901.57
Active Full-Back
Last 5: ↓ Dip
83% match
€15.0M
#5
L
Logan Costa
Villarreal · La Liga
Cape Verde25yContract 2030
Tkl/901.36
KP/900.15
Ball-Playing CB
83% match
€18.0M
#6
V
Víctor García
Levante · La Liga
Spain28y
Tkl/902.25
KP/901.20
Active Full-BackSmall Sample
Last 5: → Stable
84% match
€7.0M
#7
A
Adam Aznou
Everton · Premier League
Morocco19yContract 2029
Tkl/903.80
KP/901.00
Active Full-BackSmall Sample
84% match
€7.0M
#8
J
Javi Rodríguez
Celta de Vigo · La Liga
Spain22yContract 2028
Tkl/901.50
KP/900.41
Ball-Playing CBBall-Playing
Last 5: → Stable
84% match
€15.0M
#9
Á
Álex Jiménez
AFC Bournemouth · Premier League
Spain21yContract 2026
Tkl/902.71
KP/900.58
Last 5: → Stable
83% match
€18.0M
#10
T
Trevoh Chalobah
Chelsea · Premier League
England26yContract 2028
Tkl/901.15
KP/900.16
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
82% match
€40.0M
#11
M
Marcos Llorente
Atlético Madrid · La Liga
Spain31yContract 2027
Tkl/902.39
KP/900.74
Active Full-BackBall-Playing
Last 5: ↑ Hot
83% match
€22.0M
#12
J
Julio Soler
AFC Bournemouth · Premier League
Argentina21yContract 2029
Tkl/901.72
KP/900.91
Active Full-BackSmall Sample
83% match
€8.0M

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 Marcos Alonso.

Ask AI about Marcos Alonso

Frequently Asked Questions

Who are the best alternatives to Marcos Alonso?
The top alternatives to Marcos Alonso based on AI DNA playing style analysis include: Andrés García, Calvin Verdonk, Pau Torres, Sergio Gómez, Logan Costa. 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 Marcos Alonso in 2026?
Players with a similar profile to Marcos Alonso in 2026 include Andrés García (€7.0M), Calvin Verdonk (€3.0M), Pau Torres (€22.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Marcos Alonso play and who plays similarly?
Marcos Alonso plays as a Defender. Players with a comparable positional profile include Andrés García (Spain, €7.0M); Calvin Verdonk (Netherlands, €3.0M); Pau Torres (Spain, €22.0M); Sergio Gómez (Spain, €15.0M).
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.