RisingTransfers
AI DNA Similarity

Best Alternatives to Danilo Cataldi

Players most similar to Danilo Cataldi (Midfielder, €3.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Danilo Cataldi

  1. 1.Remo Freuler86% DNA match·Bologna€4.0M
  2. 2.Máximo Perrone86% DNA match·Como€25.0M
  3. 3.Manuel Locatelli85% DNA match·Juventus€25.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%

A Ball-Winner....

See Full Verdict + Share Card →

Playing Style Analysis

Ball-Winner

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. The three most similar players to Danilo Cataldi by playing style are:

  • Remo Freuler(86% match)Freuler is the metronomic heartbeat of a Serie A engine room, a player whose relentless efficiency transforms a Tier C squad into a ball-dominant unit. Ranking in the top 10% for passes into the final third (8.87/90), he is not merely a sideways recycler but a progressive catalyst who dictates tempo with elite precision. While his low interception rate might suggest a passive defensive stance, the reality is far grittier; he is a specialist in the physical confrontation, winning ground duels and tackles at a rate that places him in the league's top 20%.
  • Máximo Perrone(86% match)A Metronome. Statistically, he stands out as naturally left-footed, a reliable supplier (0.16 assists/90), meticulous in distribution (92% pass accuracy), heavily involved in possession (74 passes/90), central to possession (84 touches/90) and active off the ball (2.2 press score/90), contributing to defensive transitions.
  • Manuel Locatelli(85% match)Locatelli has spent years being the midfielder that makes everything work without ever making the highlight reel—and the numbers finally prove why that matters. Operating in Serie A's congested midfield battles, he ranks in the top 5% for passes per 90, tackles won, press intensity, and passes into the final third simultaneously; finding a player who dominates all four categories at once is genuinely rare. The counterintuitive read here is his goal contribution figures, which look pedestrian until you understand he's essentially the engine redistributing possession upward—those 15-plus progressive passes per 90 are what create the chances others finish.

Transfer Intelligence

Remo Freuler delivers 86% of the same playing style, at a 14% premium over Danilo Cataldi, with 0.83 key passes per 90 at age 34.

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

D
Comparison Base
Danilo Cataldi
MidfielderItaly€3.5M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
R
Remo Freuler
Bologna · Serie A
Switzerland34yContract 2026
KP/900.83
G/900.00
Chance Creator
Last 5: → Stable
vs Cataldi: 3y older
86% match
€4.0M
#2
M
Máximo Perrone
Como · Serie A
Argentina23yContract 2029
KP/900.93
G/900.17
Metronome
Last 5: → Stable
vs Cataldi: €22M more expensive · 8y younger
86% match
€25.0M
#3
M
Manuel Locatelli
Juventus · Serie A
Italy28yContract 2028
KP/901.88
G/900.00
MetronomeDefensive
Last 5: ↓ Dip
vs Cataldi: €22M more expensive · 3y younger
85% match
€25.0M
#4
S
Samuele Ricci
AC Milan · Serie A
Italy24yContract 2029
KP/901.61
G/900.00
Ball-WinnerCreative
Last 5: ↑ Hot
86% match
€25.0M
#5
M
Michel Aebischer
Pisa · Serie A
Switzerland29yContract 2026
KP/901.05
G/900.00
Balanced Midfielder
Last 5: ↑ Hot
84% match
€4.0M
#6
J
Jesper Karlström
Udinese · Serie A
Sweden30yContract 2026
KP/900.45
G/900.06
Box-to-Box
84% match
€4.0M
#7
J
Jari Vandeputte
Cremonese · Serie A
Belgium30y
KP/903.00
G/900.00
CreatorCreative
84% match
€3.3M
#8
S
Stanislav Lobotka
Napoli · Serie A
Slovakia31yContract 2027
KP/900.54
G/900.06
Last 5: ↓ Dip
85% match
€18.0M
#9
N
Nicolás Capaldo
Hamburger SV · Bundesliga
Argentina27yContract 2028
KP/901.26
G/900.00
Ball-WinnerDefensive
84% match
€4.0M
#10
G
Gianluca Gaetano
Cagliari · Serie A
Italy26yContract 2029
KP/901.83
G/900.17
Box-to-BoxCreative
Last 5: ↓ Dip
84% match
€4.0M
#11
B
Bryan Cristante
Roma · Serie A
Italy31yContract 2027
KP/900.88
G/900.05
Metronome
Last 5: ↓ Dip
83% match
€7.0M
#12
M
Marten de Roon
Atalanta · Serie A
Netherlands35yContract 2026
KP/900.81
G/900.05
Chance Creator
Last 5: ↓ Dip
84% match
€3.5M

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 Danilo Cataldi.

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Frequently Asked Questions

Who are the best alternatives to Danilo Cataldi?
The top alternatives to Danilo Cataldi based on AI DNA playing style analysis include: Remo Freuler, Máximo Perrone, Manuel Locatelli, Samuele Ricci, Michel Aebischer. 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 Danilo Cataldi in 2026?
Players with a similar profile to Danilo Cataldi in 2026 include Remo Freuler (€4.0M), Máximo Perrone (€25.0M), Manuel Locatelli (€25.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Danilo Cataldi play and who plays similarly?
Danilo Cataldi plays as a Midfielder. Players with a comparable positional profile include Remo Freuler (Switzerland, €4.0M); Máximo Perrone (Argentina, €25.0M); Manuel Locatelli (Italy, €25.0M); Samuele Ricci (Italy, €25.0M).
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.