RisingTransfers
AI DNA Similarity

Best Alternatives to Niccolò Pisilli

Players most similar to Niccolò Pisilli (Midfielder, €12.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Niccolò Pisilli

  1. 1.Kristjan Asllani86% DNA match·Beşiktaş€13.0M
  2. 2.Manuel Locatelli85% DNA match·Juventus€25.0M
  3. 3.Michel Aebischer85% DNA match·Pisa€4.0M

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

RT

Intelligence Verdict

Press IntensityTop 1%
???Bottom 21%

Pisilli is the rare midfielder who wins the ball back with his brain before his boots ever get...

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Playing Style Analysis

Chance Creator

Pisilli is the rare midfielder who wins the ball back with his brain before his boots ever get involved. Playing for a mid-table Serie A side, he ranks in the top 5% of his position for both interceptions and press intensity—a combination that signals elite anticipatory intelligence rather than mere industry. His passing into the final third sits in the same elite bracket, meaning he doesn't just win possession; he immediately weaponises it. The three most similar players to Niccolò Pisilli by playing style are:

  • Kristjan Asllani(86% match)A Ball-Winner. Statistically, he stands out as a capable chance creator (1.4 key passes/90), wins the physical battle (56% duel success), penetrates with forward passing (10.5 final-third passes/90), heavily involved in play (69 touches/90), uses long balls frequently (10.2/90) and active off the ball (2.9 press score/90), contributing to defensive transitions. Note: this profile is based on 635 minutes of playing time this season.
  • 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.
  • Michel Aebischer(85% 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.

Transfer Intelligence

Kristjan Asllani delivers 86% of the same playing style, with 0.99 key passes per 90 at age 24.

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

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Comparison Base
Niccolò Pisilli
MidfielderItaly€12.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
K
Kristjan Asllani
Beşiktaş · Serie A
Albania24yContract 2026
KP/900.99
G/900.22
Ball-WinnerSmall Sample
Last 5: → Stable
vs Pisilli: 3y older
86% match
€13.0M
#2
M
Manuel Locatelli
Juventus · Serie A
Italy28yContract 2028
KP/901.88
G/900.00
MetronomeDefensive
Last 5: ↓ Dip
vs Pisilli: €13M more expensive · 7y older
85% match
€25.0M
#3
M
Michel Aebischer
Pisa · Serie A
Switzerland29yContract 2026
KP/901.05
G/900.00
Balanced Midfielder
Last 5: ↑ Hot
vs Pisilli: €8M cheaper · 8y older
85% match
€4.0M
#4
P
Patrizio Masini
Genoa · Serie A
Italy25yContract 2028
KP/900.84
G/900.00
Ball-WinnerDefensive
Last 5: → Stable
86% match
€6.0M
#5
M
Mario Pašalić
Atalanta · Serie A
Croatia31yContract 2028
KP/901.75
G/900.10
Creative Playmaker
Last 5: ↓ Dip
85% match
€7.0M
#6
I
Ivan Ilić
Torino · Serie A
Serbia25yContract 2027
KP/901.73
G/900.00
Creative Playmaker
85% match
€10.0M
#7
R
Ramiz Zerrouki
FC Twente · Eredivisie
Algeria27y
KP/901.56
G/900.11
MetronomeCreative
Last 5: ↑ Hot
85% match
€7.2M
#8
S
Samuele Ricci
AC Milan · Serie A
Italy24yContract 2029
KP/901.61
G/900.00
Ball-WinnerCreative
Last 5: ↑ Hot
85% match
€25.0M
#9
A
Alberto Grassi
Cremonese · Serie A
Italy31y
KP/900.31
G/900.00
Box-to-BoxSmall Sample
Last 5: ↑ Hot
85% match
€8.4M
#10
L
Luca Lipani
Sassuolo · Serie A
Italy20yContract 2028
KP/901.12
G/900.00
Ball-WinnerDefensive
Last 5: ↑ Hot
85% match
€7.5M
#11
N
Nikola Moro
Bologna · Serie A
Croatia28yContract 2027
KP/902.95
G/900.00
Chance Creator
Last 5: ↓ Dip
85% match
€6.5M
#12
H
Hans Nicolussi Caviglia
Parma · Serie A
Italy25yContract 2026
KP/901.41
G/900.00
Box-to-BoxCreative
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 Niccolò Pisilli.

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Frequently Asked Questions

Who are the best alternatives to Niccolò Pisilli?
The top alternatives to Niccolò Pisilli based on AI DNA playing style analysis include: Kristjan Asllani, Manuel Locatelli, Michel Aebischer, Patrizio Masini, Mario Pašalić. 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 Niccolò Pisilli in 2026?
Players with a similar profile to Niccolò Pisilli in 2026 include Kristjan Asllani (€13.0M), Manuel Locatelli (€25.0M), Michel Aebischer (€4.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Niccolò Pisilli play and who plays similarly?
Niccolò Pisilli plays as a Midfielder. Players with a comparable positional profile include Kristjan Asllani (Albania, €13.0M); Manuel Locatelli (Italy, €25.0M); Michel Aebischer (Switzerland, €4.0M); Patrizio Masini (Italy, €6.0M).
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.