RisingTransfers
AI DNA Similarity

Best Alternatives to Nicolás Valentini

Players most similar to Nicolás Valentini (Defender, €5.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Nicolás Valentini

  1. 1.Luca Ranieri86% DNA match·Fiorentina€7.0M
  2. 2.Emanuele Valeri84% DNA match·Parma€3.0M
  3. 3.Cristian Romero 83% DNA match·Tottenham Hotspur€50.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%

A Physical Stopper....

See Full Verdict + Share Card →

Playing Style Analysis

Physical StopperAerialSmall Sample

A Physical Stopper. Statistically, he stands out as naturally left-footed, commanding in the air (5.6 clearances/90), strong in aerial duels (3.2 aerials won/90), uses long balls frequently (6.2/90) and active off the ball (2.2 press score/90), contributing to defensive transitions. Note: this profile is based on 761 minutes of playing time this season. The three most similar players to Nicolás Valentini by playing style are:

  • Luca Ranieri(86% match)Ranieri is the kind of defender whose most dangerous weapon isn't a tackle or a header—it's a pass. Operating for a mid-tier Serie A side, he ranks in the top 5% of all defenders in the league for passes into the final third, averaging nearly eight per 90 minutes—a number that belongs to a playmaking midfielder, not a backline operator. His duel and tackle numbers sit above average, suggesting he's no passenger defensively, and his shots per 90 place him in the top 20%, hinting at genuine set-piece threat.
  • Emanuele Valeri(84% match)A Active Full-Back. Statistically, he stands out as naturally left-footed, an elite creator (1.6 key passes/90) and active off the ball (2.1 press score/90), contributing to defensive transitions.
  • Cristian Romero (83% match)A Ball-Playing CB. Statistically, he stands out as an aggressive ball-winner (2.8 tackles/90), commanding in the air (4.5 clearances/90), meticulous in distribution (87% pass accuracy), wins the physical battle (66% duel success), dominant in the air (3.5 aerials won/90, 71%), active off the ball (2.6 press score/90), contributing to defensive transitions and top 10% tackler in the league.

Transfer Intelligence

Luca Ranieri delivers 86% of the same playing style, at a 40% premium over Nicolás Valentini, with 1.36 tackles won per 90 at age 27.

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

N
Comparison Base
Nicolás Valentini
DefenderArgentina€5.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
L
Luca Ranieri
Fiorentina · Serie A
Italy27yContract 2028
Tkl/901.36
KP/900.40
Ball-Playing CBAerial
Last 5: ↓ Dip
vs Valentini: 2y older
86% match
€7.0M
#2
E
Emanuele Valeri
Parma · Serie A
Italy27yContract 2027
Tkl/901.51
KP/901.59
Active Full-Back
vs Valentini: 2y older
84% match
€3.0M
#3
C
Cristian Romero 
Tottenham Hotspur · Premier League
Argentina28yContract 2027
Tkl/902.78
KP/900.62
Ball-Playing CBAerial
Last 5: ↑ Hot
vs Valentini: €45M more expensive · 3y older
83% match
€50.0M
#4
B
Berat Djimsiti
Atalanta · Serie A
Albania33yContract 2026
Tkl/901.93
KP/900.19
Ball-Playing CBBall-Playing
Last 5: → Stable
83% match
€5.0M
#5
J
Jon Aramburu
Real Sociedad · La Liga
Venezuela23yContract 2030
Tkl/903.33
KP/900.35
Active Full-Back
Last 5: ↓ Dip
83% match
€15.0M
#6
T
Tiago Gabriel
Lecce · Serie A
Portugal21yContract 2027
Tkl/901.37
KP/900.05
Ball-Playing CBAerial
Last 5: ↓ Dip
83% match
€15.0M
#7
J
Johan Vásquez
Genoa · Serie A
Mexico27yContract 2027
Tkl/901.67
KP/900.17
Ball-Playing CBBall-Playing
Last 5: → Stable
82% match
€13.0M
#8
M
Marcos Senesi
AFC Bournemouth · Premier League
Argentina29yContract 2026
Tkl/901.71
KP/900.69
Ball-Playing CBBall-Playing
Last 5: → Stable
82% match
€22.0M
#9
S
Stefan Posch
FSV Mainz 05 · Bundesliga
Austria28yContract 2026
Tkl/901.50
KP/900.25
Physical StopperAerial
Last 5: → Stable
83% match
€5.5M
#10
C
Carlos Augusto
Inter · Serie A
Brazil27yContract 2028
Tkl/902.48
KP/900.83
Active Full-BackBall-Playing
Last 5: ↓ Dip
83% match
€26.0M
#11
A
Alessandro Circati
Parma · Serie A
Australia22yContract 2029
Tkl/901.67
KP/900.17
Ball-Playing CBAerial
Last 5: → Stable
83% match
€8.0M
#12
M
Mathías Olivera
Napoli · Serie A
Uruguay28yContract 2030
Tkl/902.59
KP/900.94
Active Full-BackBall-Playing
Last 5: ↓ Dip
83% match
€15.0M

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 Valentini.

Ask AI about Nicolás Valentini

Frequently Asked Questions

Who are the best alternatives to Nicolás Valentini?
The top alternatives to Nicolás Valentini based on AI DNA playing style analysis include: Luca Ranieri, Emanuele Valeri, Cristian Romero , Berat Djimsiti, Jon Aramburu. 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 Valentini in 2026?
Players with a similar profile to Nicolás Valentini in 2026 include Luca Ranieri (€7.0M), Emanuele Valeri (€3.0M), Cristian Romero  (€50.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Nicolás Valentini play and who plays similarly?
Nicolás Valentini plays as a Defender. Players with a comparable positional profile include Luca Ranieri (Italy, €7.0M); Emanuele Valeri (Italy, €3.0M); Cristian Romero  (Argentina, €50.0M); Berat Djimsiti (Albania, €5.0M).
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.