RisingTransfers
AI DNA Similarity

Best Alternatives to Nikola Moro

Players most similar to Nikola Moro (Midfielder, €6.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Nikola Moro

  1. 1.Máximo Perrone86% DNA match·Como€25.0M
  2. 2.Rodrigo Mora86% DNA match·Porto€38.0M
  3. 3.Samuele Ricci86% DNA match·AC Milan€25.0M

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

RT

Intelligence Verdict

Key PassesTop 3%
???Bottom 0%

Moro is the kind of midfielder who quietly rewires a team's tempo before anyone notices he's doing...

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Playing Style Analysis

Chance Creator

Moro is the kind of midfielder who quietly rewires a team's tempo before anyone notices he's doing it. Playing in Serie A's congested midfield battlegrounds, his 65.6 passes per 90 places him in the top 5% of the league—not because he's safe and sideways, but because he's constantly available and constantly moving the game forward. That's the counterintuitive truth buried in his numbers: his 13.52 passes into the final third per 90, also top 5%, reveals a box-to-box engine with genuine progressive ambition, not a recycler. The three most similar players to Nikola Moro by playing style are:

  • 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.
  • Rodrigo Mora(86% match)A Creator. Statistically, he stands out as an elite creator (2.7 key passes/90), a constant goal threat (2.8 shots/90), heavily involved in play (55 touches/90), active off the ball (2.3 press score/90), contributing to defensive transitions and top 10% creator in the league. However, he loses possession under pressure (1.6 dispossessed/90).
  • Samuele Ricci(86% match)A Ball-Winner. Statistically, he stands out as an elite creator (1.6 key passes/90), a reliable supplier (0.18 assists/90), meticulous in distribution (90% pass accuracy), wins the physical battle (63% duel success), heavily involved in play (64 touches/90), draws fouls effectively (2.1/90), active off the ball (2.8 press score/90), contributing to defensive transitions and top 20% creator in the league. Note: this profile is based on 503 minutes of playing time this season.

Transfer Intelligence

Máximo Perrone delivers 86% of the same playing style, at a 285% premium over Nikola Moro, with 0.93 key passes per 90 at age 23.

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

N
Comparison Base
Nikola Moro
MidfielderCroatia€6.5M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
M
Máximo Perrone
Como · Serie A
Argentina23yContract 2029
KP/900.93
G/900.17
Metronome
Last 5: → Stable
vs Moro: €19M more expensive · 5y younger
86% match
€25.0M
#2
R
Rodrigo Mora
Porto · Liga Portugal
Portugal19yContract 2030
KP/902.72
G/900.08
CreatorCreative
Last 5: → Stable
vs Moro: €32M more expensive · 9y younger
86% match
€38.0M
#3
S
Samuele Ricci
AC Milan · Serie A
Italy24yContract 2029
KP/901.61
G/900.00
Ball-WinnerCreative
Last 5: ↑ Hot
vs Moro: €19M more expensive · 4y younger
86% match
€25.0M
#4
C
Cher Ndour
Fiorentina · Serie A
Italy21yContract 2029
KP/901.02
G/900.42
Last 5: ↓ Dip
86% match
€5.0M
#5
A
Amir Richardson
FC København · Serie A
France24yContract 2026
KP/900.65
G/900.09
Box-to-BoxDefensive
Last 5: ↓ Dip
85% match
€9.0M
#6
P
Petar Sučić
Inter · Serie A
Croatia22yContract 2030
KP/900.90
G/900.15
Creative Playmaker
Last 5: ↑ Hot
86% match
€30.0M
#7
L
Lennon Miller
Udinese · Serie A
Scotland19yContract 2030
KP/901.22
G/900.00
Box-to-BoxDefensive
Last 5: ↑ Hot
86% match
€8.0M
#8
M
Michel Aebischer
Pisa · Serie A
Switzerland29yContract 2026
KP/901.05
G/900.00
Balanced Midfielder
Last 5: ↑ Hot
85% match
€4.0M
#9
K
Khéphren Thuram
Juventus · Serie A
France25yContract 2029
KP/901.22
G/900.00
Chance Creator
85% match
€40.0M
#10
N
Nikola Vlašić
Torino · Serie A
Croatia28yContract 2027
KP/901.59
G/900.20
CreatorCreative
Last 5: → Stable
84% match
€9.0M
#11
M
Manuel Locatelli
Juventus · Serie A
Italy28yContract 2028
KP/901.88
G/900.00
MetronomeDefensive
Last 5: ↓ Dip
84% match
€25.0M
#12
S
Simon Sohm
Bologna · Serie A
Switzerland25yContract 2030
KP/900.64
G/900.00
Box-to-BoxSmall Sample
Last 5: ↑ Hot
85% match
€8.0M

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 Nikola Moro.

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Frequently Asked Questions

Who are the best alternatives to Nikola Moro?
The top alternatives to Nikola Moro based on AI DNA playing style analysis include: Máximo Perrone, Rodrigo Mora, Samuele Ricci, Cher Ndour, Amir Richardson. 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 Nikola Moro in 2026?
Players with a similar profile to Nikola Moro in 2026 include Máximo Perrone (€25.0M), Rodrigo Mora (€38.0M), Samuele Ricci (€25.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Nikola Moro play and who plays similarly?
Nikola Moro plays as a Midfielder. Players with a comparable positional profile include Máximo Perrone (Argentina, €25.0M); Rodrigo Mora (Portugal, €38.0M); Samuele Ricci (Italy, €25.0M); Cher Ndour (Italy, €5.0M).
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.