RisingTransfers
AI DNA Similarity

Best Alternatives to Manuel Ugarte

Players most similar to Manuel Ugarte (Midfielder, €30.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Manuel Ugarte

  1. 1.Martín Zubimendi86% DNA match·Arsenal€80.0M
  2. 2.Casemiro85% DNA match·Manchester United€8.0M
  3. 3.Kobbie Mainoo86% DNA match·Manchester United€40.0M

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

RT

Intelligence Verdict

Tackles WonTop 1%
???Bottom 3%

A Ball-Winner....

See Full Verdict + Share Card →

Playing Style Analysis

Ball-WinnerDefensiveSmall Sample

A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (4.7 tackles/90), reads the game exceptionally (2.2 interceptions/90), meticulous in distribution (85% pass accuracy), wins the physical battle (56% duel success), wins the ball cleanly (3.0 successful tackles/90), central to possession (71 touches/90), a high-intensity presser (press score 3.6/90), constantly disrupting opposition build-up and top 10% tackler in the league. Note: this profile is based on 887 minutes of playing time this season. The three most similar players to Manuel Ugarte by playing style are:

  • Martín Zubimendi(86% match)A Metronome. Statistically, he stands out as active in the tackle (2.1 tackles/90), meticulous in distribution (88% pass accuracy), wins the physical battle (60% duel success), heavily involved in play (69 touches/90) and active off the ball (2.1 press score/90), contributing to defensive transitions.
  • Casemiro(85% match)A Ball-Winner. Statistically, he stands out as a capable chance creator (1.2 key passes/90), a regular goalscorer (0.36 goals/90), an aggressive ball-winner (3.2 tackles/90), penetrates with forward passing (8.4 final-third passes/90), central to possession (74 touches/90), uses long balls frequently (5.5/90), active off the ball (2.7 press score/90), contributing to defensive transitions and top 10% tackler in the league.
  • Kobbie Mainoo(86% match)A Metronome. Statistically, he stands out as a capable chance creator (1.2 key passes/90), active in the tackle (2.1 tackles/90), meticulous in distribution (90% pass accuracy), central to possession (74 touches/90) and active off the ball (2.8 press score/90), contributing to defensive transitions. However, he loses possession under pressure (1.6 dispossessed/90).

Transfer Intelligence

Martín Zubimendi delivers 86% of the same playing style, at a 167% premium over Manuel Ugarte, with 0.59 key passes per 90 at age 27.

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

M
Comparison Base
Manuel Ugarte
MidfielderUruguay€30.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
M
Martín Zubimendi
Arsenal · Premier League
Spain27yContract 2030
KP/900.59
G/900.15
Metronome
Last 5: ↑ Hot
vs Ugarte: €50M more expensive · 2y older
86% match
€80.0M
#2
C
Casemiro
Manchester United · Premier League
Brazil34yContract 2026
KP/901.22
G/900.36
Ball-WinnerDefensive
Last 5: → Stable
vs Ugarte: €22M cheaper · 9y older
85% match
€8.0M
#3
K
Kobbie Mainoo
Manchester United · Premier League
England21yContract 2027
KP/901.22
G/900.06
Metronome
Last 5: ↓ Dip
vs Ugarte: €10M more expensive · 4y younger
86% match
€40.0M
#4
E
Enzo Fernández
Chelsea · Premier League
Argentina25yContract 2032
KP/901.99
G/900.28
CreatorCreative
Last 5: ↑ Hot
84% match
€90.0M
#5
R
Roméo Lavia
Chelsea · Premier League
Belgium22yContract 2030
KP/900.24
G/900.00
Box-to-BoxSmall Sample
Last 5: ↑ Hot
85% match
€30.0M
#6
R
Rodrigo Bentancur  
Tottenham Hotspur · Premier League
Uruguay28yContract 2026
KP/900.52
G/900.05
Ball-WinnerDefensive
Last 5: ↓ Dip
84% match
€22.0M
#7
M
Mateus Fernandes
West Ham United · Premier League
Portugal21yContract 2030
KP/901.07
G/900.10
Ball-WinnerDefensive
Last 5: → Stable
84% match
€32.0M
#8
L
Lesley Ugochukwu
Burnley · Premier League
France22yContract 2030
KP/900.37
G/900.12
Ball-Winner
Last 5: → Stable
84% match
€25.0M
#9
S
Sofyan Amrabat
Real Betis · La Liga
Morocco29yContract 2026
KP/900.59
G/900.00
MetronomeSmall Sample
Last 5: ↓ Dip
84% match
€12.0M
#10
I
Ibrahim Sangaré
Nottingham Forest · Premier League
Ivory Coast28yContract 2028
KP/900.54
G/900.09
Ball-WinnerDefensive
Last 5: ↑ Hot
84% match
€30.0M
#11
R
Ryan Gravenberch
Liverpool · Premier League
Netherlands23yContract 2028
KP/900.85
G/900.16
Metronome
Last 5: → Stable
82% match
€90.0M
#12
J
João Palhinha
Tottenham Hotspur · Premier League
Portugal30yContract 2026
KP/900.27
G/900.18
Ball-WinnerDefensive
Last 5: ↓ Dip
83% match
€25.0M

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 Manuel Ugarte.

Ask AI about Manuel Ugarte

Frequently Asked Questions

Who are the best alternatives to Manuel Ugarte?
The top alternatives to Manuel Ugarte based on AI DNA playing style analysis include: Martín Zubimendi, Casemiro, Kobbie Mainoo, Enzo Fernández, Roméo Lavia. 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 Manuel Ugarte in 2026?
Players with a similar profile to Manuel Ugarte in 2026 include Martín Zubimendi (€80.0M), Casemiro (€8.0M), Kobbie Mainoo (€40.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Manuel Ugarte play and who plays similarly?
Manuel Ugarte plays as a Midfielder. Players with a comparable positional profile include Martín Zubimendi (Spain, €80.0M); Casemiro (Brazil, €8.0M); Kobbie Mainoo (England, €40.0M); Enzo Fernández (Argentina, €90.0M).
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.