AI DNA Similarity
Best Alternatives to Ricardo Alves
Players most similar to Ricardo Alves (Midfielder, €200K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Ricardo Alves
- 1.Rick van der Meer81% DNA match·Katwijk
- 2.Salvador Blopa80% DNA match·Sporting CP
- 3.Maurizio Brenna80% DNA match·Katwijk
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
Tackles WonTop 0%
???Bottom 0%
“Ricardo Alves Coelho da Silva is a Midfielder....”
See Full Verdict + Share Card →Playing Style Analysis
Ricardo Alves Coelho da Silva is a Midfielder. Solid midfield option. The three most similar players to Ricardo Alves by playing style are:
- Rick van der Meer(81% match) — Rick van der Meer is a Midfielder. Solid midfield option. Statistically, he stands out as wins the physical battle (60% duel success). (Limited sample: 323 mins)
- Salvador Blopa(80% match) — Salvador Blopa is a Midfielder. Solid midfield option. (Limited sample: 270 mins)
- Maurizio Brenna(80% match) — Maurizio Brenna is a Midfielder. Solid midfield option. (Limited sample: 299 mins)
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
R
Rick van der Meer
Katwijk · Eredivisie
Netherlands28y
KP/900.00
G/900.00
Small Sample
vs Alves: 5y younger
81% match
N/A
#2
S
Salvador Blopa
Sporting CP · Liga Portugal
Portugal18y
KP/900.00
G/900.00
Small Sample
vs Alves: 15y younger
80% match
N/A
#3
M
Maurizio Brenna
Katwijk · Eredivisie
Netherlands27y
KP/900.00
G/900.00
Small Sample
vs Alves: 6y younger
80% match
N/A
#4
Y
Yann Rollim
Caxias · Superliga
Brazil31y
KP/900.64
G/900.21
Small Sample
79% match
N/A
#5
J
Jeremiah Mensah
Bayer 04 Leverkusen · Bundesliga
Germany18y
KP/900.00
G/900.00
Small Sample
79% match
N/A
#6
L
Léo Cordeiro
Ural · Liga Portugal
Brazil30y
KP/900.00
G/900.00
Box-to-Box
78% match
N/A
#7
E
Emmanuele De Chiara
Napoli · Serie A
Italy20y
KP/900.00
G/900.00
Small Sample
79% match
N/A
#8
A
Alamara Djabi
FC Midtjylland · Superliga
Guinea-Bissau19y
KP/900.00
G/900.00
Small Sample
79% match
N/A
#9
M
Miguel Sousa
Casa Pia · Liga Portugal
Portugal27y
KP/901.67
G/900.00
Box-to-Box
78% match
N/A
#10
F
Florent Sanchez
Orléans · Eredivisie
France23y
KP/900.87
G/900.12
Balanced MidfielderSmall Sample
78% match
N/A
#11
M
Max de Waal
Willem II · Eredivisie
Netherlands24y
KP/900.28
G/900.19
77% match
N/A
#12
C
Cas Dijkstra
Koninklijke HFC · Eredivisie
Netherlands24y
KP/900.71
G/900.19
77% match
N/A
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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 Ricardo Alves.
Ask AI about Ricardo Alves →Frequently Asked Questions
Who are the best alternatives to Ricardo Alves?▼
The top alternatives to Ricardo Alves based on AI DNA playing style analysis include: Rick van der Meer, Salvador Blopa, Maurizio Brenna, Yann Rollim, Jeremiah Mensah. 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 Ricardo Alves in 2026?▼
Players with a similar profile to Ricardo Alves in 2026 include Rick van der Meer (N/A), Salvador Blopa (N/A), Maurizio Brenna (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Ricardo Alves play and who plays similarly?▼
Ricardo Alves plays as a Midfielder. Players with a comparable positional profile include Rick van der Meer (Netherlands, N/A); Salvador Blopa (Portugal, N/A); Maurizio Brenna (Netherlands, N/A); Yann Rollim (Brazil, N/A).
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.