RisingTransfers
AI DNA Similarity

Best Alternatives to Nazinho

Players most similar to Nazinho (Defender, €2.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Nazinho

  1. 1.Adam Aznou85% DNA match·Everton€7.0M
  2. 2.Jordan Lotomba85% DNA match·Feyenoord€5.0M
  3. 3.Mustafa Eskihellaç84% DNA match·Trabzonspor€3.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 20%

A Reading Defender....

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Playing Style Analysis

Reading Defender

A Reading Defender. Statistically, he stands out as an elite creator (2.1 key passes/90), a prolific assist provider (0.28 assists/90), an aggressive ball-winner (2.5 tackles/90), reads the game exceptionally (1.8 interceptions/90), creates high-quality scoring opportunities (0.60 big chances/90), central to possession (70 touches/90) and active off the ball (3.0 press score/90), contributing to defensive transitions. The three most similar players to Nazinho by playing style are:

  • Adam Aznou(85% match)A Active Full-Back. Statistically, he stands out as naturally left-footed, a capable chance creator (1.0 key passes/90), a proven goalscorer (0.40 goals/90), a prolific assist provider (0.40 assists/90), an aggressive ball-winner (3.8 tackles/90), wins the physical battle (58% duel success), central to possession (79 touches/90), draws fouls effectively (4.0/90) and top 10% tackler in the league. Note: this profile is based on 450 minutes of playing time this season.
  • Jordan Lotomba(85% match)Lotomba is the kind of full-back who quietly does enough in five different departments without fully owning any of them—a profile that sounds damning until you look at the league context. His 88.5% pass accuracy lands in the top 30% of Eredivisie defenders, and his assist rate per 90 sits in the top 20%, suggesting a genuine threat in transition despite a dribble count that also cracks that same elite bracket. Here's the counterintuitive part: his suspiciously low passes-per-90 figure—bottom 10% in the league—likely reflects positional role and game state rather than technical limitation, given how clean his accuracy numbers are when he does receive.
  • Mustafa Eskihellaç(84% match)A Active Full-Back. Statistically, he stands out as a reliable supplier (0.16 assists/90), meticulous in distribution (87% pass accuracy), wins the physical battle (59% duel success), draws fouls effectively (2.3/90) and active off the ball (2.7 press score/90), contributing to defensive transitions.

Transfer Intelligence

Adam Aznou delivers 85% of the same playing style, at a 250% premium over Nazinho, with 3.80 tackles won per 90 at age 19.

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

N
Comparison Base
Nazinho
DefenderPortugal€2.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
A
Adam Aznou
Everton · Premier League
Morocco19yContract 2029
Tkl/903.80
KP/901.00
Active Full-BackSmall Sample
vs Nazinho: 3y younger
85% match
€7.0M
#2
J
Jordan Lotomba
Feyenoord · Eredivisie
Switzerland27yContract 2027
Tkl/901.66
KP/900.39
Last 5: ↑ Hot
vs Nazinho: 5y older
85% match
€5.0M
#3
M
Mustafa Eskihellaç
Trabzonspor · Super Lig
Turkey29yContract 2027
Tkl/901.66
KP/900.98
Active Full-Back
Last 5: → Stable
vs Nazinho: 7y older
84% match
€3.0M
#4
G
Ghislain Konan
Gil Vicente · Liga Portugal
Ivory Coast30y
Tkl/901.29
KP/900.70
Solid Defender
Last 5: ↓ Dip
84% match
€4.0M
#5
A
Alberto Costa
Porto · Liga Portugal
Portugal22yContract 2030
Tkl/902.44
KP/901.18
Active Full-Back
Last 5: → Stable
84% match
€15.0M
#6
M
Mees de Wit
AZ · Eredivisie
Netherlands28yContract 2029
Tkl/902.28
KP/901.12
Active Full-Back
Last 5: → Stable
84% match
€4.5M
#7
S
Samuel Dahl
Benfica · Liga Portugal
Sweden23yContract 2029
Tkl/902.73
KP/901.14
Active Full-Back
Last 5: → Stable
83% match
€9.0M
#8
M
Mauro Júnior
PSV · Eredivisie
Brazil27yContract 2029
Tkl/902.63
KP/901.51
Active Full-BackBall-Playing
Last 5: → Stable
84% match
€17.0M
#9
L
Lorenz Assignon
VfB Stuttgart · Bundesliga
France25yContract 2029
Tkl/900.88
KP/901.50
Active Full-BackSmall Sample
Last 5: ↓ Dip
84% match
€10.0M
#10
M
Miro Muheim
Hamburger SV · Bundesliga
Switzerland28yContract 2027
Tkl/902.21
KP/901.89
Active Full-BackSmall Sample
84% match
€4.0M
#11
K
Kristoffer Lund
FC Köln · Bundesliga
Denmark23yContract 2026
Tkl/901.27
KP/900.91
Active Full-BackAerial
84% match
€4.0M
#12
V
Valentino Lazaro
Torino · Serie A
Austria30yContract 2026
Tkl/901.81
KP/901.45
Solid Defender
84% match
€4.0M

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 Nazinho.

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Frequently Asked Questions

Who are the best alternatives to Nazinho?
The top alternatives to Nazinho based on AI DNA playing style analysis include: Adam Aznou, Jordan Lotomba, Mustafa Eskihellaç, Ghislain Konan, Alberto 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 Nazinho in 2026?
Players with a similar profile to Nazinho in 2026 include Adam Aznou (€7.0M), Jordan Lotomba (€5.0M), Mustafa Eskihellaç (€3.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Nazinho play and who plays similarly?
Nazinho plays as a Defender. Players with a comparable positional profile include Adam Aznou (Morocco, €7.0M); Jordan Lotomba (Switzerland, €5.0M); Mustafa Eskihellaç (Turkey, €3.0M); Ghislain Konan (Ivory Coast, €4.0M).
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.