AI DNA Similarity
Best Alternatives to Sebastián Ignacio Vegas Orellana
Players most similar to Sebastián Ignacio Vegas Orellana (Defender, €3.6M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Sebastián Ignacio Vegas Orellana
- 1.Johan Vásquez86% DNA match·Genoa€13.0M
- 2.Renato Veiga84% DNA match·Villarreal€25.0M
- 3.Carlos Domínguez83% DNA match·Celta de Vigo€3.0M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
Chances MissedTop 0%
???Bottom 21%
“A Ball-Playing CB....”
See Full Verdict + Share Card →Playing Style Analysis
Ball-Playing CBSmall Sample
A Ball-Playing CB. Statistically, he stands out as active in the tackle (2.3 tackles/90), reads the game exceptionally (1.7 interceptions/90), meticulous in distribution (86% pass accuracy) and uses long balls frequently (7.1/90). Note: this profile is based on 896 minutes of playing time this season. The three most similar players to Sebastián Ignacio Vegas Orellana by playing style are:
- Johan Vásquez(86% match) — A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (4.4 clearances/90), wins the physical battle (60% duel success), central to possession (72 touches/90), uses long balls frequently (7.5/90) and active off the ball (2.2 press score/90), contributing to defensive transitions.
- Renato Veiga(84% match) — A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (5.2 clearances/90), meticulous in distribution (88% pass accuracy), wins the physical battle (56% duel success) and uses long balls frequently (7.1/90).
- Carlos Domínguez(83% match) — A Ball-Playing CB. Statistically, he stands out as naturally left-footed, active in the tackle (2.2 tackles/90), commanding in the air (6.5 clearances/90), meticulous in distribution (91% pass accuracy), wins the physical battle (66% duel success), heavily involved in possession (65 passes/90), central to possession (80 touches/90), uses long balls frequently (5.8/90) and active off the ball (2.2 press score/90), contributing to defensive transitions. Note: this profile is based on 524 minutes of playing time this season.
Transfer Intelligence
Johan Vásquez delivers 86% of the same playing style, at a 257% premium over Sebastián Ignacio Vegas Orellana, with 1.67 tackles won per 90 at age 27.
Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →
Similar Players — Ranked by DNA Similarity
#1
J
Johan Vásquez
Genoa · Serie A
Mexico27yContract 2027
Tkl/901.67
KP/900.17
Ball-Playing CBBall-Playing
Last 5: → Stablevs Orellana: €9M more expensive · 2y younger
86% match
€13.0M
#2
R
Renato Veiga
Villarreal · La Liga
Portugal22yContract 2032
Tkl/900.72
KP/900.11
Ball-Playing CBBall-Playing
Last 5: ↓ Dipvs Orellana: €21M more expensive · 7y younger
84% match
€25.0M
#3
C
Carlos Domínguez
Celta de Vigo · La Liga
Spain25yContract 2026
Tkl/902.23
KP/900.17
Ball-Playing CBBall-Playing
vs Orellana: 4y younger
83% match
€3.0M
#4
C
Carlos Puga
Málaga · La Liga
Spain25yContract 2029
Tkl/902.01
KP/901.12
Active Full-Back
Last 5: ↑ Hot83% match
€20.0M
#5
E
Eric García
FC Barcelona · La Liga
Spain25yContract 2026
Tkl/902.70
KP/901.01
Ball-Playing CBBall-Playing
Last 5: ↓ Dip81% match
€35.0M
#6
J
Jesús Vázquez
Valencia · La Liga
Spain23yContract 2028
Tkl/901.94
KP/900.83
82% match
€4.0M
#7
J
Jon Pacheco
Deportivo Alavés · La Liga
Spain25yContract 2026
Tkl/902.04
KP/900.31
Ball-Playing CBAerial
82% match
€5.0M
#8
V
Víctor Gómez
Sporting Braga · Liga Portugal
Spain26yContract 2028
Tkl/901.54
KP/901.17
82% match
€7.0M
#9
P
Pedro Lima
Wolverhampton Wanderers · Premier League
Brazil19yContract 2029
Tkl/902.49
KP/901.07
Small Sample
Last 5: → Stable82% match
€4.0M
#10
D
Dani Vivian
Athletic Club · La Liga
Spain26yContract 2032
Tkl/901.77
KP/900.25
Ball-Playing CBAerial
Last 5: ↑ Hot81% match
€25.0M
#11
K
Kike Salas
Sevilla · La Liga
Spain24yContract 2029
Tkl/902.08
KP/900.22
Ball-Playing CBBall-Playing
Last 5: → Stable81% match
€6.0M
#12
V
Valentín Gómez
Real Betis · La Liga
Argentina22yContract 2030
Tkl/902.42
KP/900.48
Ball-Playing CBAerial
Last 5: ↓ Dip81% match
€12.0M
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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 Sebastián Ignacio Vegas Orellana.
Ask AI about Sebastián Ignacio Vegas Orellana →Frequently Asked Questions
Who are the best alternatives to Sebastián Ignacio Vegas Orellana?▼
The top alternatives to Sebastián Ignacio Vegas Orellana based on AI DNA playing style analysis include: Johan Vásquez, Renato Veiga, Carlos Domínguez, Carlos Puga, Eric García. 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 Sebastián Ignacio Vegas Orellana in 2026?▼
Players with a similar profile to Sebastián Ignacio Vegas Orellana in 2026 include Johan Vásquez (€13.0M), Renato Veiga (€25.0M), Carlos Domínguez (€3.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Sebastián Ignacio Vegas Orellana play and who plays similarly?▼
Sebastián Ignacio Vegas Orellana plays as a Defender. Players with a comparable positional profile include Johan Vásquez (Mexico, €13.0M); Renato Veiga (Portugal, €25.0M); Carlos Domínguez (Spain, €3.0M); Carlos Puga (Spain, €20.0M).
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.