RisingTransfers
AI DNA Similarity

Best Alternatives to Facundo Buonanotte

Players most similar to Facundo Buonanotte (Midfielder, €18.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Facundo Buonanotte

  1. 1.Simone Pafundi86% DNA match·Udinese€5.0M
  2. 2.Cristian Volpato85% DNA match·Sassuolo€10.0M
  3. 3.Emiliano Buendía85% DNA match·Aston Villa€18.0M

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

RT

Intelligence Verdict

AssistsTop 3%
???Bottom 15%

Buonanotte is the rare teenage midfielder who looks genuinely dangerous in front of goal rather...

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Playing Style Analysis

Ball-WinnerDefensive

Buonanotte is the rare teenage midfielder who looks genuinely dangerous in front of goal rather than simply promising—his 0.29 goals per 90 places him inside the Premier League's top 20% for his position, a number most attacking midfielders twice his age would envy. His dribble rate sits in the top 5% of the league, meaning defenders cannot simply sit off him. Here is the counterintuitive part: his low pass accuracy and below-average volume are not signs of sloppiness—they reflect a player taking risks in advanced areas rather than recycling sideways. The three most similar players to Facundo Buonanotte by playing style are:

  • Simone Pafundi(86% match)A Creator. Statistically, he stands out as an elite creator (2.4 key passes/90), a constant goal threat (3.8 shots/90), a prolific assist provider (0.26 assists/90), heavily involved in play (56 touches/90), draws fouls effectively (2.8/90), active off the ball (2.3 press score/90), contributing to defensive transitions and top 10% creator in the league. However, he loses possession under pressure (1.6 dispossessed/90).
  • Cristian Volpato(85% match)A Creator. Statistically, he stands out as an elite creator (2.0 key passes/90), a regular goalscorer (0.20 goals/90), a prolific assist provider (0.40 assists/90), creates high-quality scoring opportunities (0.50 big chances/90), heavily involved in play (57 touches/90), active off the ball (2.0 press score/90), contributing to defensive transitions and top 10% creator in the league. However, he loses possession under pressure (2.0 dispossessed/90).
  • Emiliano Buendía(85% match)A Creator. Statistically, he stands out as a capable chance creator (1.4 key passes/90), a constant goal threat (2.6 shots/90), a regular goalscorer (0.34 goals/90), active in the tackle (2.3 tackles/90), heavily involved in play (54 touches/90), draws fouls effectively (2.1/90) and active off the ball (2.8 press score/90), contributing to defensive transitions. However, he loses possession under pressure (1.9 dispossessed/90).

Transfer Intelligence

Simone Pafundi delivers 86% of the same playing style, at 72% lower cost (€5.0M vs €18.0M), with 2.55 key passes per 90 at age 20.

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

F
Comparison Base
Facundo Buonanotte
MidfielderArgentina€18.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
S
Simone Pafundi
Udinese · Serie A
Italy20yContract 2026
KP/902.55
G/900.23
CreatorCreative
Last 5: ↓ Dip
vs Buonanotte: €13M cheaper
86% match
€5.0M
#2
C
Cristian Volpato
Sassuolo · Serie A
Italy22yContract 2028
KP/901.88
G/900.00
CreatorCreative
vs Buonanotte: €8M cheaper
85% match
€10.0M
#3
E
Emiliano Buendía
Aston Villa · Premier League
Argentina29yContract 2027
KP/901.41
G/900.34
Creator
Last 5: → Stable
vs Buonanotte: 8y older
85% match
€18.0M
#4
B
Brenden Aaronson
Leeds United · Premier League
United States25yContract 2027
KP/901.24
G/900.15
Creator
Last 5: → Stable
83% match
€15.0M
#5
F
Fabio Miretti
Juventus · Serie A
Italy22yContract 2028
KP/901.68
G/900.34
CreatorCreative
84% match
€16.0M
#6
J
Justin Kluivert
AFC Bournemouth · Premier League
Netherlands27yContract 2028
KP/902.05
G/900.20
CreatorCreative
84% match
€32.0M
#7
M
Mikkel Damsgaard
Brentford · Premier League
Denmark25yContract 2030
KP/901.74
G/900.18
CreatorCreative
Last 5: → Stable
83% match
€30.0M
#8
M
Morgan Gibbs-White
Nottingham Forest · Premier League
England26yContract 2027
KP/901.41
G/900.40
Creator
Last 5: ↓ Dip
83% match
€65.0M
#9
R
Rayan Cherki
Manchester City · Premier League
France22yContract 2030
KP/903.21
G/900.21
CreatorCreative
Last 5: → Stable
84% match
€50.0M
#10
T
Tijjani Reijnders
Manchester City · Premier League
Netherlands27yContract 2030
KP/901.04
G/900.29
Last 5: → Stable
83% match
€60.0M
#11
M
Michael Folorunsho
Cagliari · Serie A
Italy28yContract 2026
KP/900.62
G/900.09
Balanced Midfielder
Last 5: ↓ Dip
84% match
€6.0M
#12
L
Lennon Miller
Udinese · Serie A
Scotland19yContract 2030
KP/901.22
G/900.00
Box-to-BoxDefensive
Last 5: ↑ Hot
84% 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 Facundo Buonanotte.

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Frequently Asked Questions

Who are the best alternatives to Facundo Buonanotte?
The top alternatives to Facundo Buonanotte based on AI DNA playing style analysis include: Simone Pafundi, Cristian Volpato, Emiliano Buendía, Brenden Aaronson, Fabio Miretti. 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 Facundo Buonanotte in 2026?
Players with a similar profile to Facundo Buonanotte in 2026 include Simone Pafundi (€5.0M), Cristian Volpato (€10.0M), Emiliano Buendía (€18.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Facundo Buonanotte play and who plays similarly?
Facundo Buonanotte plays as a Midfielder. Players with a comparable positional profile include Simone Pafundi (Italy, €5.0M); Cristian Volpato (Italy, €10.0M); Emiliano Buendía (Argentina, €18.0M); Brenden Aaronson (United States, €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.