RisingTransfers
AI DNA Similarity

Best Alternatives to Aníbal Moreno

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

Top 3 Alternatives to Aníbal Moreno

  1. 1.Nikola Moro89% DNA match·Bologna€6.5M
  2. 2.Rodrigo Mendoza86% DNA match·Atlético Madrid€15.0M
  3. 3.Nicolás Domínguez86% DNA match·Nottingham Forest€15.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%

A Ball-Winner....

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Playing Style Analysis

Ball-WinnerDefensive

A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (2.8 tackles/90), reads the game exceptionally (1.6 interceptions/90), meticulous in distribution (86% pass accuracy), heavily involved in possession (65 passes/90), penetrates with forward passing (9.4 final-third passes/90), wins the ball cleanly (1.9 successful tackles/90), central to possession (78 touches/90), switches play with precision (6.8 long balls/90, 65% accuracy) and active off the ball (2.9 press score/90), contributing to defensive transitions. The three most similar players to Aníbal Moreno by playing style are:

  • Nikola Moro(89% 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.
  • Rodrigo Mendoza(86% match)A Box-to-Box. Statistically, he stands out as a capable chance creator (1.0 key passes/90), heavily involved in play (65 touches/90) and active off the ball (2.2 press score/90), contributing to defensive transitions. However, he loses possession under pressure (1.7 dispossessed/90).
  • Nicolás Domínguez(86% match)A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (4.1 tackles/90), wins the physical battle (56% duel success), wins the ball cleanly (2.1 successful tackles/90), heavily involved in play (53 touches/90), active off the ball (2.5 press score/90), contributing to defensive transitions and top 10% tackler in the league.

Transfer Intelligence

Nikola Moro delivers 89% of the same playing style, 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 →

A
Comparison Base
Aníbal Moreno
MidfielderArgentina€6.5M
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 Moreno: 2y older
89% match
€6.5M
#2
R
Rodrigo Mendoza
Atlético Madrid · La Liga
Spain21yContract 2026
KP/901.03
G/900.13
Box-to-BoxSmall Sample
Last 5: → Stable
vs Moreno: €9M more expensive · 5y younger
86% match
€15.0M
#3
N
Nicolás Domínguez
Nottingham Forest · Premier League
Argentina27yContract 2028
KP/900.91
G/900.08
Ball-WinnerDefensive
Last 5: → Stable
vs Moreno: €9M more expensive
86% match
€15.0M
#4
E
Ezequiel Fernández
Bayer 04 Leverkusen · Bundesliga
Argentina23yContract 2030
KP/901.03
G/900.00
Ball-WinnerDefensive
Last 5: ↓ Dip
85% match
€25.0M
#5
B
Brais Méndez
Real Sociedad · La Liga
Spain29yContract 2028
KP/901.17
G/900.31
Creator
84% match
€12.0M
#6
T
Tyler Morton
Olympique Lyonnais · Ligue 1
England23yContract 2030
KP/901.45
G/900.00
Metronome
Last 5: ↓ Dip
85% match
€18.0M
#7
R
Rodrigo Mora
Porto · Liga Portugal
Portugal19yContract 2030
KP/902.72
G/900.08
CreatorCreative
Last 5: → Stable
85% match
€38.0M
#8
J
Jon Moncayola
Osasuna · La Liga
Spain27yContract 2031
KP/900.98
G/900.00
Last 5: ↓ Dip
84% match
€7.0M
#9
M
Marc Aguado
Elche · La Liga
Spain26yContract 2027
KP/900.31
G/900.00
Ball-Winner
Last 5: ↑ Hot
84% match
€3.0M
#10
F
Federico Redondo
Elche · La Liga
Argentina23yContract 2030
KP/901.09
G/900.27
Chance CreatorDeep Distributor
84% match
€4.0M
#11
M
Mario Martín
Getafe · La Liga
Spain22yContract 2026
KP/900.39
G/900.13
Ball-WinnerDefensive
Last 5: ↓ Dip
84% match
€5.0M
#12
R
Rodrigo Bentancur  
Tottenham Hotspur · Premier League
Uruguay28yContract 2026
KP/900.52
G/900.05
Ball-WinnerDefensive
Last 5: ↓ Dip
83% match
€22.0M

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 Aníbal Moreno.

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Frequently Asked Questions

Who are the best alternatives to Aníbal Moreno?
The top alternatives to Aníbal Moreno based on AI DNA playing style analysis include: Nikola Moro, Rodrigo Mendoza, Nicolás Domínguez, Ezequiel Fernández, Brais Méndez. 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 Aníbal Moreno in 2026?
Players with a similar profile to Aníbal Moreno in 2026 include Nikola Moro (€6.5M), Rodrigo Mendoza (€15.0M), Nicolás Domínguez (€15.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Aníbal Moreno play and who plays similarly?
Aníbal Moreno plays as a Midfielder. Players with a comparable positional profile include Nikola Moro (Croatia, €6.5M); Rodrigo Mendoza (Spain, €15.0M); Nicolás Domínguez (Argentina, €15.0M); Ezequiel Fernández (Argentina, €25.0M).
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.