RisingTransfers
AI DNA Similarity

Best Alternatives to Gregore

Players most similar to Gregore (Midfielder, €2.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Gregore

  1. 1.Alejandro Rego84% DNA match·Athletic Club€3.0M
  2. 2.Marc Aguado82% DNA match·Elche€3.0M
  3. 3.Federico Redondo83% DNA match·Elche€4.0M

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 naturally left-footed, a capable chance creator (1.0 key passes/90), a reliable supplier (0.18 assists/90), an aggressive ball-winner (3.6 tackles/90), reads the game exceptionally (1.7 interceptions/90), meticulous in distribution (87% pass accuracy), wins the physical battle (55% duel success), heavily involved in possession (68 passes/90), wins the ball cleanly (2.1 successful tackles/90), central to possession (86 touches/90), uses long balls frequently (5.7/90), a high-intensity presser (press score 3.6/90), constantly disrupting opposition build-up and top 10% tackler in the league. However, he prone to committing fouls (2.6/90). The three most similar players to Gregore by playing style are:

  • Alejandro Rego(84% match)A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (3.4 tackles/90), reads the game exceptionally (1.7 interceptions/90), heavily involved in play (53 touches/90), a high-intensity presser (press score 3.1/90), constantly disrupting opposition build-up and top 10% tackler in the league. However, he prone to committing fouls (3.1/90).
  • Marc Aguado(82% match)A Ball-Winner. Statistically, he stands out as active in the tackle (1.9 tackles/90), reads the game exceptionally (1.8 interceptions/90), meticulous in distribution (91% pass accuracy), wins the physical battle (63% duel success), heavily involved in play (57 touches/90) and active off the ball (2.2 press score/90), contributing to defensive transitions.
  • Federico Redondo(83% match)Redondo is the quintessential "volume controller" whose surgical distribution and relentless defensive work rate suggest a player far more physically imposing than his duel success rate implies. Operating at a Tier C club, he is effectively the entire engine room, ranking in the top 5% for both passes per 90 (84.3) and tackles won (1.91), a rare statistical profile that combines the elegance of a deep-lying playmaker with the grit of a ball-winner. The counterintuitive insight lies in his goalscoring; despite sitting in the bottom 10% for shot volume, his 0.27 goals per 90 (top 5%) reveals a lethal efficiency when he does arrive late in the box.

Transfer Intelligence

Alejandro Rego delivers 84% of the same playing style, at a 20% premium over Gregore, with 0.86 key passes per 90 at age 22.

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

G
Comparison Base
Gregore
MidfielderBrazil€2.5M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
A
Alejandro Rego
Athletic Club · La Liga
Spain22yContract 2026
KP/900.86
G/900.11
Ball-WinnerDefensive
Last 5: ↓ Dip
vs Gregore: 10y younger
84% match
€3.0M
#2
M
Marc Aguado
Elche · La Liga
Spain26yContract 2027
KP/900.31
G/900.00
Ball-Winner
Last 5: ↑ Hot
vs Gregore: 6y younger
82% match
€3.0M
#3
F
Federico Redondo
Elche · La Liga
Argentina23yContract 2030
KP/901.09
G/900.27
Chance CreatorDeep Distributor
vs Gregore: 9y younger
83% match
€4.0M
#4
L
Luka Modrić
AC Milan · Serie A
Croatia40yContract 2026
KP/901.48
G/900.00
MetronomeSmall Sample
Last 5: → Stable
81% match
€4.0M
#5
D
Dani Silva
FC Midtjylland · Superliga
Portugal26yContract 2029
KP/901.19
G/900.00
Balanced MidfielderSmall Sample
82% match
€3.5M
#6
R
Remo Freuler
Bologna · Serie A
Switzerland34yContract 2026
KP/900.83
G/900.00
Chance Creator
Last 5: → Stable
82% match
€4.0M
#7
G
Gorby
Sporting Braga · Liga Portugal
France23yContract 2028
KP/900.37
G/900.05
Metronome
Last 5: ↑ Hot
81% match
€7.0M
#8
F
Fred
Fenerbahçe · Super Lig
Brazil33yContract 2027
KP/902.28
G/900.13
CreatorCreative
Last 5: ↑ Hot
81% match
€7.0M
#9
E
Enzo Leopold
Hannover 96 · Bundesliga
Germany25yContract 2026
KP/902.00
G/900.00
MetronomeCreative
Last 5: ↓ Dip
81% match
N/A
#10
B
Benjamin André
LOSC Lille · Ligue 1
France35yContract 2026
KP/901.00
G/900.13
Ball-WinnerDefensive
Last 5: ↓ Dip
82% match
€4.0M
#11
R
Robin Fellhauer
FC Augsburg · Bundesliga
Germany28yContract 2029
KP/900.68
G/900.10
Box-to-BoxSmall Sample
81% match
€3.0M
#12
A
André Gomes
LOSC Lille · Ligue 1
Portugal32yContract 2026
KP/900.98
G/900.00
Metronome
Last 5: → Stable
81% match
€4.5M

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 Gregore.

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Frequently Asked Questions

Who are the best alternatives to Gregore?
The top alternatives to Gregore based on AI DNA playing style analysis include: Alejandro Rego, Marc Aguado, Federico Redondo, Luka Modrić, Dani Silva. 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 Gregore in 2026?
Players with a similar profile to Gregore in 2026 include Alejandro Rego (€3.0M), Marc Aguado (€3.0M), Federico Redondo (€4.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Gregore play and who plays similarly?
Gregore plays as a Midfielder. Players with a comparable positional profile include Alejandro Rego (Spain, €3.0M); Marc Aguado (Spain, €3.0M); Federico Redondo (Argentina, €4.0M); Luka Modrić (Croatia, €4.0M).
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.