RisingTransfers
AI DNA Similarity

Best Alternatives to Benja Cremaschi

Players most similar to Benja Cremaschi (Midfielder, €4.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Benja Cremaschi

  1. 1.Raoul Bellanova86% DNA match·Atalanta€22.0M
  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

Press IntensityTop 20%

A Box-to-Box....

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Playing Style Analysis

Box-to-Box

A Box-to-Box. Statistically, he stands out as a capable chance creator (1.1 key passes/90), active in the tackle (2.4 tackles/90), wins the ball cleanly (1.8 successful tackles/90), heavily involved in play (58 touches/90) and active off the ball (2.7 press score/90), contributing to defensive transitions. The three most similar players to Benja Cremaschi by playing style are:

  • Raoul Bellanova(86% match)Bellanova has carved out a quietly efficient niche at Inter as the industrious connector who keeps possession ticking without ever demanding the spotlight. His 89.1% pass accuracy places him in the top fifth of Serie A midfielders, and a 56.3% duel win rate suggests he competes effectively at ground level—two traits that underpin his value as a reliable ball-mover in tight spaces. Here's the counterintuitive part: his key passes per 90 sit above the league average, meaning he's actually more progressive in the final moments of build-up than his modest assists tally implies—the creativity is there, the finishing touch simply isn't his job.
  • 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

Raoul Bellanova delivers 86% of the same playing style, at a 389% premium over Benja Cremaschi, with 1.63 key passes per 90 at age 25.

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

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Comparison Base
Benja Cremaschi
MidfielderUnited States€4.5M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
R
Raoul Bellanova
Atalanta · Serie A
Italy25yContract 2029
KP/901.63
G/900.00
Chance Creator
Last 5: → Stable
vs Cremaschi: €18M more expensive · 4y older
86% match
€22.0M
#2
F
Fabio Miretti
Juventus · Serie A
Italy22yContract 2028
KP/901.68
G/900.34
CreatorCreative
vs Cremaschi: €12M more expensive
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 Cremaschi: €10M more expensive · 4y older
85% match
€14.0M
#4
A
Andrea Cambiaso
Juventus · Serie A
Italy26yContract 2029
KP/902.38
G/900.00
CreatorCreative
Last 5: ↑ Hot
84% match
€30.0M
#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
K
Khéphren Thuram
Juventus · Serie A
France25yContract 2029
KP/901.22
G/900.00
Chance Creator
85% match
€40.0M
#7
G
Giovanni Fabbian
Fiorentina · Serie A
Italy23yContract 2026
KP/901.45
G/900.00
Balanced MidfielderSmall Sample
Last 5: → Stable
84% match
€10.0M
#8
M
Manuel Locatelli
Juventus · Serie A
Italy28yContract 2028
KP/901.88
G/900.00
MetronomeDefensive
Last 5: ↓ Dip
83% match
€25.0M
#9
S
Simon Sohm
Bologna · Serie A
Switzerland25yContract 2030
KP/900.64
G/900.00
Box-to-BoxSmall Sample
Last 5: ↑ Hot
84% match
€8.0M
#10
L
Lennon Miller
Udinese · Serie A
Scotland19yContract 2030
KP/901.22
G/900.00
Box-to-BoxDefensive
Last 5: ↑ Hot
84% match
€8.0M
#11
C
Charles De Ketelaere
Atalanta · Serie A
Belgium25yContract 2028
KP/902.53
G/900.06
CreatorCreative
Last 5: → Stable
83% match
€35.0M
#12
S
Sandro Tonali
Newcastle United · Premier League
Italy26yContract 2028
KP/901.12
G/900.00
Ball-Winner
Last 5: → Stable
83% match
€80.0M

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 Benja Cremaschi.

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Frequently Asked Questions

Who are the best alternatives to Benja Cremaschi?
The top alternatives to Benja Cremaschi based on AI DNA playing style analysis include: Raoul Bellanova, Fabio Miretti, Nicolò Fagioli, Andrea Cambiaso, 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 Benja Cremaschi in 2026?
Players with a similar profile to Benja Cremaschi in 2026 include Raoul Bellanova (€22.0M), 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 Benja Cremaschi play and who plays similarly?
Benja Cremaschi plays as a Midfielder. Players with a comparable positional profile include Raoul Bellanova (Italy, €22.0M); Fabio Miretti (Italy, €16.0M); Nicolò Fagioli (Italy, €14.0M); Andrea Cambiaso (Italy, €30.0M).
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.