RisingTransfers
AI DNA Similarity

Best Alternatives to Hans Nicolussi Caviglia

Players most similar to Hans Nicolussi Caviglia (Midfielder, €7.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Hans Nicolussi Caviglia

  1. 1.Michel Aebischer86% DNA match·Pisa€4.0M
  2. 2.Fabio Miretti86% DNA match·Juventus€16.0M
  3. 3.Nicolò Fagioli85% DNA match·Fiorentina€14.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 0%

A Box-to-Box....

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Playing Style Analysis

Box-to-BoxCreativeSmall Sample

A Box-to-Box. Statistically, he stands out as an elite creator (1.5 key passes/90), a reliable supplier (0.15 assists/90), active in the tackle (1.8 tackles/90), penetrates with forward passing (8.8 final-third passes/90), heavily involved in play (65 touches/90), draws fouls effectively (2.3/90), uses long balls frequently (5.8/90), active off the ball (2.6 press score/90), contributing to defensive transitions and top 20% creator in the league. However, he loses possession under pressure (2.0 dispossessed/90). The three most similar players to Hans Nicolussi Caviglia by playing style are:

  • Michel Aebischer(86% match)A Balanced Midfielder. Statistically, he stands out as a capable chance creator (1.1 key passes/90), active in the tackle (1.8 tackles/90), penetrates with forward passing (8.8 final-third passes/90), heavily involved in play (62 touches/90), uses long balls frequently (7.7/90) and active off the ball (2.9 press score/90), contributing to defensive transitions.
  • Fabio Miretti(86% match)Miretti is the rare academy product who graduated from Juventus's shadow and found his voice in the chaos of a mid-table Serie A environment. At just 544 minutes of data, the sample is partial—but what it reveals is striking. His assists rate lands in the top 5% of Serie A midfielders, a figure that flatters him only if you ignore the equally elite press intensity and shot volume sitting underneath it.
  • Nicolò Fagioli(85% match)Fagioli is the kind of midfielder who makes a possession system hum without ever demanding the spotlight. His 90.7% pass accuracy and 2.51 key passes per 90 both rank in Serie A's top 5% among midfielders—numbers that suggest not just tidiness, but genuine creative authority in the final third. His 8.91 passes into the final third per 90 puts him comfortably in the top 10%, which is where the real story lives: the assists figure looks modest, but Fagioli is consistently threading the needle before the last action, not after it.

Transfer Intelligence

Michel Aebischer delivers 86% of the same playing style, at 43% lower cost (€4.0M vs €7.0M), with 1.05 key passes per 90 at age 29.

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

H
Comparison Base
Hans Nicolussi Caviglia
MidfielderItaly€7.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
M
Michel Aebischer
Pisa · Serie A
Switzerland29yContract 2026
KP/901.05
G/900.00
Balanced Midfielder
Last 5: ↑ Hot
vs Caviglia: 4y older
86% match
€4.0M
#2
F
Fabio Miretti
Juventus · Serie A
Italy22yContract 2028
KP/901.68
G/900.34
CreatorCreative
vs Caviglia: €9M more expensive · 3y younger
86% match
€16.0M
#3
N
Nicolò Fagioli
Fiorentina · Serie A
Italy25yContract 2028
KP/902.74
G/900.06
Elite Playmaker
Last 5: ↓ Dip
vs Caviglia: €7M more expensive
85% match
€14.0M
#4
N
Niccolò Pisilli
Roma · Serie A
Italy21yContract 2029
KP/900.94
G/900.27
Chance Creator
Last 5: ↓ Dip
85% match
€12.0M
#5
S
Samuele Ricci
AC Milan · Serie A
Italy24yContract 2029
KP/901.61
G/900.00
Ball-WinnerCreative
Last 5: ↑ Hot
85% match
€25.0M
#6
B
Benja Cremaschi
Parma · Serie A
United States21yContract 2026
KP/901.10
G/900.06
Box-to-Box
84% match
€4.5M
#7
M
Manuel Locatelli
Juventus · Serie A
Italy28yContract 2028
KP/901.88
G/900.00
MetronomeDefensive
Last 5: ↓ Dip
84% match
€25.0M
#8
M
Máximo Perrone
Como · Serie A
Argentina23yContract 2029
KP/900.93
G/900.17
Metronome
Last 5: → Stable
84% match
€25.0M
#9
A
Amir Richardson
FC København · Serie A
France24yContract 2026
KP/900.65
G/900.09
Box-to-BoxDefensive
Last 5: ↓ Dip
84% match
€9.0M
#10
R
Ramiz Zerrouki
FC Twente · Eredivisie
Algeria27y
KP/901.56
G/900.11
MetronomeCreative
Last 5: ↑ Hot
83% match
€7.2M
#11
M
Maxence Caqueret
Como · Serie A
France26yContract 2029
KP/901.78
G/900.12
MetronomeCreative
Last 5: ↓ Dip
84% match
€15.0M
#12
L
Lucas Da Cunha 
Como · Serie A
France24yContract 2029
KP/901.51
G/900.11
Metronome
Last 5: ↓ Dip
84% match
€15.0M

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 Hans Nicolussi Caviglia.

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Frequently Asked Questions

Who are the best alternatives to Hans Nicolussi Caviglia?
The top alternatives to Hans Nicolussi Caviglia based on AI DNA playing style analysis include: Michel Aebischer, Fabio Miretti, Nicolò Fagioli, Niccolò Pisilli, Samuele Ricci. 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 Hans Nicolussi Caviglia in 2026?
Players with a similar profile to Hans Nicolussi Caviglia in 2026 include Michel Aebischer (€4.0M), Fabio Miretti (€16.0M), Nicolò Fagioli (€14.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Hans Nicolussi Caviglia play and who plays similarly?
Hans Nicolussi Caviglia plays as a Midfielder. Players with a comparable positional profile include Michel Aebischer (Switzerland, €4.0M); Fabio Miretti (Italy, €16.0M); Nicolò Fagioli (Italy, €14.0M); Niccolò Pisilli (Italy, €12.0M).
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.