RisingTransfers
AI DNA Similarity

Best Alternatives to Óscar Romero

Players most similar to Óscar Romero (Midfielder, €8.4M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Óscar Romero

  1. 1.Nikola Moro87% DNA match·Bologna€6.5M
  2. 2.Lennon Miller86% DNA match·Udinese€8.0M
  3. 3.Nicolò Fagioli86% DNA match·Fiorentina€14.0M

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

RT

Intelligence Verdict

Key PassesTop 16%
???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 (2.5 key passes/90), a reliable supplier (0.18 assists/90), active in the tackle (2.3 tackles/90), wins the physical battle (56% duel success), penetrates with forward passing (9.7 final-third passes/90), central to possession (78 touches/90), draws fouls effectively (3.2/90), switches play with precision (5.0 long balls/90, 72% accuracy), active off the ball (2.5 press score/90), contributing to defensive transitions and top 10% creator in the league. However, he loses possession under pressure (1.8 dispossessed/90). The three most similar players to Óscar Romero by playing style are:

  • Nikola Moro(87% match)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.
  • Lennon Miller(86% match)A Box-to-Box. Statistically, he stands out as a capable chance creator (1.2 key passes/90), a prolific assist provider (0.30 assists/90), an aggressive ball-winner (2.6 tackles/90), wins the physical battle (61% duel success), heavily involved in play (55 touches/90) and active off the ball (2.6 press score/90), contributing to defensive transitions. Note: this profile is based on 591 minutes of playing time this season.
  • Nicolò Fagioli(86% 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

Nikola Moro delivers 87% of the same playing style, at 23% lower cost (€6.5M vs €8.4M), with 2.95 key passes per 90 at age 28.

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

Ó
Comparison Base
Óscar Romero
MidfielderParaguay€8.4M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
N
Nikola Moro
Bologna · Serie A
Croatia28yContract 2027
KP/902.95
G/900.00
Chance Creator
Last 5: ↓ Dip
vs Romero: 5y younger
87% match
€6.5M
#2
L
Lennon Miller
Udinese · Serie A
Scotland19yContract 2030
KP/901.22
G/900.00
Box-to-BoxDefensive
Last 5: ↑ Hot
vs Romero: 14y younger
86% match
€8.0M
#3
N
Nicolò Fagioli
Fiorentina · Serie A
Italy25yContract 2028
KP/902.74
G/900.06
Elite Playmaker
Last 5: ↓ Dip
vs Romero: €6M more expensive · 8y younger
86% match
€14.0M
#4
C
Cristian Volpato
Sassuolo · Serie A
Italy22yContract 2028
KP/901.88
G/900.00
CreatorCreative
86% match
€10.0M
#5
M
Máximo Perrone
Como · Serie A
Argentina23yContract 2029
KP/900.93
G/900.17
Metronome
Last 5: → Stable
85% match
€25.0M
#6
N
Nicola Zalewski
Atalanta · Serie A
Poland24yContract 2029
KP/901.98
G/900.00
CreatorCreative
Last 5: ↓ Dip
85% match
€15.0M
#7
R
Rodrigo Bentancur  
Tottenham Hotspur · Premier League
Uruguay28yContract 2026
KP/900.52
G/900.05
Ball-WinnerDefensive
Last 5: ↓ Dip
84% match
€22.0M
#8
F
Fabio Miretti
Juventus · Serie A
Italy22yContract 2028
KP/901.68
G/900.34
CreatorCreative
85% match
€16.0M
#9
M
Manuel Locatelli
Juventus · Serie A
Italy28yContract 2028
KP/901.88
G/900.00
MetronomeDefensive
Last 5: ↓ Dip
84% match
€25.0M
#10
K
Khéphren Thuram
Juventus · Serie A
France25yContract 2029
KP/901.22
G/900.00
Chance Creator
85% match
€40.0M
#11
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
#12
T
Tomas Suslov
Hellas Verona · Serie A
Slovakia23yContract 2027
KP/900.48
G/900.00
Creator
Last 5: → Stable
84% match
€5.0M

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 Óscar Romero.

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Frequently Asked Questions

Who are the best alternatives to Óscar Romero?
The top alternatives to Óscar Romero based on AI DNA playing style analysis include: Nikola Moro, Lennon Miller, Nicolò Fagioli, Cristian Volpato, Máximo Perrone. 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 Óscar Romero in 2026?
Players with a similar profile to Óscar Romero in 2026 include Nikola Moro (€6.5M), Lennon Miller (€8.0M), 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 Óscar Romero play and who plays similarly?
Óscar Romero plays as a Midfielder. Players with a comparable positional profile include Nikola Moro (Croatia, €6.5M); Lennon Miller (Scotland, €8.0M); Nicolò Fagioli (Italy, €14.0M); Cristian Volpato (Italy, €10.0M).
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.