AI DNA Similarity
Best Alternatives to Nene
Players most similar to Nene (Attacker, €12K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
A Dynamic Forward in First League. Statistically, he stands out as a capable chance creator (1.4 key passes/90) and a dynamic dribbler (2.2/90). The three most similar players to Nene by playing style are:
- Bryan Zaragoza(94% match) — A Dynamic Forward in Serie A. Statistically, he stands out as a capable chance creator (1.4 key passes/90) and a dynamic dribbler (2.1/90).
- Emir Sahiti(94% match) — A Dynamic Forward in Bundesliga. Statistically, he stands out as an elite creator (2.1 key passes/90), a regular goalscorer (0.21 goals/90), a dynamic dribbler (2.6/90) and creates high-quality scoring opportunities (1.07 big chances/90).
- Tidiam Gomis(94% match) — A Dynamic Forward in Bundesliga. Statistically, he stands out as a reliable supplier (0.17 assists/90), a dynamic dribbler (2.1/90) and creates high-quality scoring opportunities (0.60 big chances/90).
Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →
Similar Players — Ranked by DNA Similarity
#1
B
Bryan Zaragoza
Roma · La Liga
Spain24yContract 2026
G/900.08
A/900.08
Dynamic ForwardDribbler
Last 5: ↓ Dip94% match
€10.0M
#2
E
Emir Sahiti
Hamburger SV · Bundesliga
Kosovo27yContract 2027
G/900.21
A/900.14
Dynamic ForwardDribbler
Last 5: ↑ Hot94% match
N/A
#3
T
Tidiam Gomis
RB Leipzig · Bundesliga
France19yContract 2029
G/900.17
A/900.17
Dynamic ForwardDribbler
Last 5: ↓ Dip94% match
€3.0M
#4
J
Jonathan Amon
Vejle Boldklub · Superliga
United States26y
G/900.19
A/900.00
Dynamic ForwardDribbler
94% match
N/A
#5
S
Samuel Mbangula
Werder Bremen · Bundesliga
Belgium22yContract 2030
G/900.26
A/900.17
Dynamic ForwardDribbler
Last 5: ↓ Dip94% match
€14.0M
#6
P
Prince Amoako Junior
Nordsjælland · Superliga
Ghana19yContract 2029
G/900.30
A/900.20
Dynamic ForwardDribbler
Last 5: → Stable93% match
N/A
#7
Y
Yosuke Furukawa
Darmstadt 98 · Bundesliga
Japan22y
G/900.14
A/900.14
Dynamic ForwardDribbler
Last 5: ↑ Hot93% match
N/A
#8
A
Amine Sbaï
Angers SCO · Ligue 1
France25y
G/900.13
A/900.07
Dynamic ForwardDribbler
Last 5: ↑ Hot94% match
N/A
#9
L
Livan Burcu
FC Union Berlin · Bundesliga
Germany21y
G/900.00
A/900.00
Dynamic ForwardDribbler
93% match
€4.0M
#10
C
Cyriaque Irié
SC Freiburg · Bundesliga
Ivory Coast20y
G/900.21
A/900.11
Dynamic ForwardDribbler
Last 5: ↓ Dip93% match
€8.0M
#11
J
Jean-Mattéo Bahoya
Eintracht Frankfurt · Bundesliga
France20yContract 2029
G/900.21
A/900.29
Dynamic ForwardDribbler
Last 5: → Stable93% match
€25.0M
#12
N
Noah Okafor
Leeds United · Premier League
Switzerland25yContract 2029
G/900.28
A/900.00
Dynamic ForwardDribbler
93% match
€18.0M
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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 Nene.
Ask AI about Nene →Frequently Asked Questions
Who are the best alternatives to Nene?▼
The top alternatives to Nene based on AI DNA playing style analysis include: Bryan Zaragoza, Emir Sahiti, Tidiam Gomis, Jonathan Amon, Samuel Mbangula. 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 Nene in 2026?▼
Players with a similar profile to Nene in 2026 include Bryan Zaragoza (€10.0M), Emir Sahiti (N/A), Tidiam Gomis (€3.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Nene play and who plays similarly?▼
Nene plays as a Attacker. Players with a comparable positional profile include Bryan Zaragoza (Spain, €10.0M); Emir Sahiti (Kosovo, N/A); Tidiam Gomis (France, €3.0M); Jonathan Amon (United States, N/A).
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.