RisingTransfers
AI DNA Similarity

Best Alternatives to Daniele Ghilardi

Players most similar to Daniele Ghilardi (Defender, €8.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Daniele Ghilardi

  1. 1.Mariano Troilo87% DNA match·Parma€6.0M
  2. 2.Giorgio Scalvini86% DNA match·Atalanta€25.0M
  3. 3.Nicolò Casale87% DNA match·Bologna€5.0M

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

RT

Intelligence Verdict

Press IntensityTop 10%
???Bottom 12%

A Ball-Playing CB....

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Playing Style Analysis

Ball-Playing CBAerialSmall Sample

A Ball-Playing CB. Statistically, he stands out as an aggressive ball-winner (2.5 tackles/90), commanding in the air (4.1 clearances/90), meticulous in distribution (86% pass accuracy), wins the physical battle (59% duel success), penetrates with forward passing (8.3 final-third passes/90), uses long balls frequently (6.1/90), active off the ball (2.6 press score/90), contributing to defensive transitions and top 10% tackler in the league. Note: this profile is based on 782 minutes of playing time this season. The three most similar players to Daniele Ghilardi by playing style are:

  • Mariano Troilo(87% match)A Ball-Playing CB. Statistically, he stands out as comfortable with both feet, active in the tackle (2.2 tackles/90), commanding in the air (7.8 clearances/90), reads the game exceptionally (1.8 interceptions/90), meticulous in distribution (90% pass accuracy), wins the physical battle (56% duel success) and active off the ball (2.5 press score/90), contributing to defensive transitions. Note: this profile is based on 541 minutes of playing time this season.
  • Giorgio Scalvini(86% match)A Ball-Playing CB. Statistically, he stands out as active in the tackle (2.1 tackles/90), commanding in the air (4.0 clearances/90), reads the game exceptionally (2.5 interceptions/90), meticulous in distribution (89% pass accuracy), central to possession (74 touches/90) and a high-intensity presser (press score 3.2/90), constantly disrupting opposition build-up. Note: this profile is based on 873 minutes of playing time this season.
  • Nicolò Casale(87% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (8.0 clearances/90), meticulous in distribution (87% pass accuracy), wins the physical battle (56% duel success), dominant in the air (4.1 aerials won/90, 63%) and switches play with precision (7.6 long balls/90, 67% accuracy). Note: this profile is based on 677 minutes of playing time this season.

Transfer Intelligence

Mariano Troilo delivers 87% of the same playing style, at 25% lower cost (€6.0M vs €8.0M), with 2.16 tackles won per 90 at age 22.

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

D
Comparison Base
Daniele Ghilardi
DefenderItaly€8.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
M
Mariano Troilo
Parma · Serie A
Argentina22yContract 2030
Tkl/902.16
KP/900.33
Ball-Playing CBAerial
87% match
€6.0M
#2
G
Giorgio Scalvini
Atalanta · Serie A
Italy22yContract 2028
Tkl/902.06
KP/900.72
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Ghilardi: €17M more expensive
86% match
€25.0M
#3
N
Nicolò Casale
Bologna · Serie A
Italy28yContract 2028
Tkl/900.63
KP/900.63
Ball-Playing CBAerial
Last 5: ↑ Hot
vs Ghilardi: 5y older
87% match
€5.0M
#4
S
Sascha Britschgi
Parma · Serie A
Switzerland19yContract 2030
Tkl/901.38
KP/900.86
Active Full-Back
86% match
€7.0M
#5
O
Odilon Kossounou
Atalanta · Serie A
Ivory Coast25yContract 2029
Tkl/901.33
KP/900.11
Ball-Playing CBBall-Playing
Last 5: → Stable
86% match
€22.0M
#6
N
Nicolò Bertola
Udinese · Serie A
Italy23yContract 2030
Tkl/901.78
KP/900.49
Solid DefenderAerial
86% match
€6.0M
#7
P
Pierre Kalulu
Juventus · Serie A
France25yContract 2029
Tkl/902.17
KP/901.25
Ball-Playing CBBall-Playing
Last 5: → Stable
85% match
€32.0M
#8
M
Mario Gila
Lazio · Serie A
Spain25yContract 2027
Tkl/902.10
KP/900.18
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
85% match
€30.0M
#9
O
Oumar Solet
Udinese · Serie A
France26yContract 2027
Tkl/902.13
KP/900.67
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
85% match
€20.0M
#10
A
Alessandro Circati
Parma · Serie A
Australia22yContract 2029
Tkl/901.67
KP/900.17
Ball-Playing CBAerial
Last 5: → Stable
86% match
€8.0M
#11
A
Alessandro Buongiorno
Napoli · Serie A
Italy26yContract 2029
Tkl/900.98
KP/900.00
Reading Defender
Last 5: ↑ Hot
85% match
€45.0M
#12
R
Rafik Belghali
Hellas Verona · Serie A
Algeria23yContract 2029
Tkl/900.81
KP/901.28
Active Full-BackSmall Sample
Last 5: → Stable
85% match
€7.0M

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 Daniele Ghilardi.

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Frequently Asked Questions

Who are the best alternatives to Daniele Ghilardi?
The top alternatives to Daniele Ghilardi based on AI DNA playing style analysis include: Mariano Troilo, Giorgio Scalvini, Nicolò Casale, Sascha Britschgi, Odilon Kossounou. 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 Daniele Ghilardi in 2026?
Players with a similar profile to Daniele Ghilardi in 2026 include Mariano Troilo (€6.0M), Giorgio Scalvini (€25.0M), Nicolò Casale (€5.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Daniele Ghilardi play and who plays similarly?
Daniele Ghilardi plays as a Defender. Players with a comparable positional profile include Mariano Troilo (Argentina, €6.0M); Giorgio Scalvini (Italy, €25.0M); Nicolò Casale (Italy, €5.0M); Sascha Britschgi (Switzerland, €7.0M).
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.