RisingTransfers
AI DNA Similarity

Best Alternatives to Alex Santana

Players most similar to Alex Santana (Midfielder, €1.2M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Alex Santana

  1. 1.Baptiste Santamaria86% DNA match·Valencia€4.5M
  2. 2.Sergi Altimira84% DNA match·Real Betis€20.0M
  3. 3.Marc Aguado83% DNA match·Elche€3.0M

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

RT

Intelligence Verdict

InterceptionsTop 18%
???Bottom 0%

Santana functions as a cerebral, high-efficiency metronome stuck in the engine room of a Tier C struggler...

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Playing Style Analysis

Box-to-BoxSmall Sample

Santana functions as a cerebral, high-efficiency metronome stuck in the engine room of a Tier C struggler, providing elite ball retention and defensive anticipation that belies his team’s stature. While his 88.9% pass accuracy puts him in the league’s top 20%, he is no mere sideways recycler; his 1.42 shots per 90 indicate a player with the license and confidence to arrive late in the final third. The counterintuitive hook lies in his physicality: despite an unremarkable 42.9% aerial win rate, his 0.85 wins per 90 sit above the league average, suggesting a player who compensates for raw power with elite positioning and timing. The three most similar players to Alex Santana by playing style are:

  • Baptiste Santamaria(86% match)A Box-to-Box. Statistically, he stands out as wins the physical battle (57% duel success), heavily involved in play (65 touches/90) and active off the ball (2.6 press score/90), contributing to defensive transitions. Note: this profile is based on 653 minutes of playing time this season.
  • Sergi Altimira(84% match)A Metronome. Statistically, he stands out as a reliable supplier (0.19 assists/90), an aggressive ball-winner (4.0 tackles/90), reads the game exceptionally (1.6 interceptions/90), meticulous in distribution (91% pass accuracy), wins the physical battle (69% duel success), wins the ball cleanly (2.7 successful tackles/90), central to possession (74 touches/90), a high-intensity presser (press score 3.8/90), constantly disrupting opposition build-up and top 10% tackler in the league.
  • Marc Aguado(83% 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.

Transfer Intelligence

Baptiste Santamaria delivers 86% of the same playing style, at a 275% premium over Alex Santana, with 0.28 key passes per 90 at age 31.

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

A
Comparison Base
Alex Santana
MidfielderBrazil€1.2M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
B
Baptiste Santamaria
Valencia · La Liga
France31yContract 2027
KP/900.28
G/900.00
Box-to-BoxSmall Sample
86% match
€4.5M
#2
S
Sergi Altimira
Real Betis · La Liga
Spain24yContract 2029
KP/900.96
G/900.10
MetronomeDefensive
Last 5: ↓ Dip
vs Santana: €19M more expensive · 6y younger
84% match
€20.0M
#3
M
Marc Aguado
Elche · La Liga
Spain26yContract 2027
KP/900.31
G/900.00
Ball-Winner
Last 5: ↑ Hot
vs Santana: 4y younger
83% match
€3.0M
#4
H
Hugo Sotelo
Celta de Vigo · La Liga
Spain22yContract 2028
KP/902.09
G/900.00
MetronomeCreative
Last 5: → Stable
84% match
€9.0M
#5
F
Federico Redondo
Elche · La Liga
Argentina23yContract 2030
KP/901.09
G/900.27
Chance CreatorDeep Distributor
84% match
€4.0M
#6
A
André Almeida
Valencia · La Liga
Portugal25yContract 2028
KP/901.33
G/900.00
CreatorSmall Sample
84% match
€9.0M
#7
D
Dani Silva
FC Midtjylland · Superliga
Portugal26yContract 2029
KP/901.19
G/900.00
Balanced MidfielderSmall Sample
84% match
€3.5M
#8
A
Ayoni Santos
Sparta Rotterdam · Eredivisie
Netherlands20yContract 2030
KP/901.03
G/900.00
CreatorDefensive
Last 5: ↓ Dip
83% match
€40.0M
#9
P
Pedro Díaz
Rayo Vallecano · La Liga
Spain27yContract 2028
KP/901.41
G/900.00
Creator
Last 5: → Stable
83% match
€3.0M
#10
M
Marc Roca
Real Betis · La Liga
Spain29yContract 2029
KP/900.95
G/900.00
Balanced Midfielder
Last 5: ↑ Hot
83% match
€4.0M
#11
S
Santi Comesaña
Villarreal · La Liga
Spain29yContract 2028
KP/900.73
G/900.10
Box-to-Box
Last 5: → Stable
82% match
€8.0M
#12
S
Santiago Colombatto
Real Oviedo · La Liga
Argentina29yContract 2026
KP/901.23
G/900.00
Box-to-Box
Last 5: → Stable
83% match
€3.0M

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 Alex Santana.

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Frequently Asked Questions

Who are the best alternatives to Alex Santana?
The top alternatives to Alex Santana based on AI DNA playing style analysis include: Baptiste Santamaria, Sergi Altimira, Marc Aguado, Hugo Sotelo, Federico Redondo. 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 Alex Santana in 2026?
Players with a similar profile to Alex Santana in 2026 include Baptiste Santamaria (€4.5M), Sergi Altimira (€20.0M), Marc Aguado (€3.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Alex Santana play and who plays similarly?
Alex Santana plays as a Midfielder. Players with a comparable positional profile include Baptiste Santamaria (France, €4.5M); Sergi Altimira (Spain, €20.0M); Marc Aguado (Spain, €3.0M); Hugo Sotelo (Spain, €9.0M).
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.