RisingTransfers
AI DNA Similarity

Best Alternatives to Nicolás Capaldo

Players most similar to Nicolás Capaldo (Midfielder, €4.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Nicolás Capaldo

  1. 1.Danilo Cataldi84% DNA match·Lazio€3.5M
  2. 2.Ezequiel Fernández84% DNA match·Bayer 04 Leverkusen€25.0M
  3. 3.Jens Castrop84% DNA match·Borussia Mönchengladbach€6.0M

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

RT

Intelligence Verdict

Tackles WonTop 3%
???Bottom 22%

A Ball-Winner....

See Full Verdict + Share Card →

Playing Style Analysis

Ball-WinnerDefensiveSmall Sample

A Ball-Winner. Statistically, he stands out as a capable chance creator (1.0 key passes/90), a reliable supplier (0.15 assists/90), an aggressive ball-winner (2.5 tackles/90), wins the physical battle (65% duel success), wins the ball cleanly (1.9 successful tackles/90), heavily involved in play (61 touches/90), draws fouls effectively (3.3/90) and active off the ball (2.5 press score/90), contributing to defensive transitions. Note: this profile is based on 605 minutes of playing time this season. The three most similar players to Nicolás Capaldo by playing style are:

  • Danilo Cataldi(84% match)A Ball-Winner. Statistically, he stands out as a capable chance creator (1.1 key passes/90), wins the physical battle (60% duel success), heavily involved in play (62 touches/90) and active off the ball (2.4 press score/90), contributing to defensive transitions.
  • Ezequiel Fernández(84% 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.
  • Jens Castrop(84% match)A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (4.7 tackles/90), wins the ball cleanly (2.2 successful tackles/90), heavily involved in play (52 touches/90), a high-intensity presser (press score 3.3/90), constantly disrupting opposition build-up and top 10% tackler in the league. Note: this profile is based on 523 minutes of playing time this season.

Transfer Intelligence

Danilo Cataldi delivers 84% of the same playing style, at 13% lower cost (€3.5M vs €4.0M), with 1.06 key passes per 90 at age 31.

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

N
Comparison Base
Nicolás Capaldo
MidfielderArgentina€4.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
D
Danilo Cataldi
Lazio · Serie A
Italy31yContract 2027
KP/901.06
G/900.14
Ball-Winner
vs Capaldo: 4y older
84% match
€3.5M
#2
E
Ezequiel Fernández
Bayer 04 Leverkusen · Bundesliga
Argentina23yContract 2030
KP/901.03
G/900.00
Ball-WinnerDefensive
Last 5: ↓ Dip
vs Capaldo: €21M more expensive · 4y younger
84% match
€25.0M
#3
J
Jens Castrop
Borussia Mönchengladbach · Bundesliga
Germany22yContract 2029
KP/900.86
G/900.17
Ball-WinnerDefensive
vs Capaldo: 5y younger
84% match
€6.0M
#4
Y
Yannik Engelhardt
Borussia Mönchengladbach · Bundesliga
Germany25yContract 2026
KP/900.40
G/900.20
Box-to-BoxSmall Sample
84% match
€6.0M
#5
E
Elvis Rexhbecaj
FC Augsburg · Bundesliga
Kosovo28yContract 2026
KP/901.02
G/900.00
Balanced Midfielder
84% match
€3.5M
#6
T
Tom Krauß
FC Köln · Bundesliga
Germany24yContract 2026
KP/900.64
G/900.00
Ball-WinnerDefensive
84% match
€3.5M
#7
R
Robin Fellhauer
FC Augsburg · Bundesliga
Germany28yContract 2029
KP/900.68
G/900.10
Box-to-BoxSmall Sample
83% match
€3.0M
#8
A
Alex Freeman
Villarreal · La Liga
United States21yContract 2025
Tkl/902.69
KP/900.00
Active Full-Back
Last 5: → Stable
82% match
€3.5M
#9
S
Sotiris Alexandropoulos
Fortuna Düsseldorf · Bundesliga
Greece24yContract 2026
KP/901.34
G/900.00
Box-to-BoxDefensive
Last 5: ↓ Dip
83% match
€4.5M
#10
L
Leon Avdullahu
TSG Hoffenheim · Bundesliga
Switzerland22yContract 2029
KP/901.02
G/900.00
MetronomeSmall Sample
Last 5: ↑ Hot
82% match
€17.0M
#11
K
Kevin Paredes
VfL Wolfsburg · Bundesliga
United States23yContract 2026
KP/901.02
G/900.19
Ball-WinnerDefensive
82% match
€3.0M
#12
N
Nicolas Seiwald
RB Leipzig · Bundesliga
Austria25yContract 2028
KP/900.58
G/900.00
Ball-WinnerDefensive
Last 5: → Stable
83% 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 Nicolás Capaldo.

Ask AI about Nicolás Capaldo

Frequently Asked Questions

Who are the best alternatives to Nicolás Capaldo?
The top alternatives to Nicolás Capaldo based on AI DNA playing style analysis include: Danilo Cataldi, Ezequiel Fernández, Jens Castrop, Yannik Engelhardt, Elvis Rexhbecaj. 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 Nicolás Capaldo in 2026?
Players with a similar profile to Nicolás Capaldo in 2026 include Danilo Cataldi (€3.5M), Ezequiel Fernández (€25.0M), Jens Castrop (€6.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Nicolás Capaldo play and who plays similarly?
Nicolás Capaldo plays as a Midfielder. Players with a comparable positional profile include Danilo Cataldi (Italy, €3.5M); Ezequiel Fernández (Argentina, €25.0M); Jens Castrop (Germany, €6.0M); Yannik Engelhardt (Germany, €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.