AI DNA Similarity
Best Alternatives to Jonathan Silva
Players most similar to Jonathan Silva (Defender, €1.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Jonathan Silva
- 1.Damian van der Haar78% DNA match·PEC Zwolle
- 2.Dean van der Sluys78% DNA match·Kozakken Boys
- 3.Burhan Ersoy78% DNA match·Fatih Karagümrük
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
Key PassesTop 25%
???Bottom 7%
“Silva is a high-variance defensive maverick who...”
See Full Verdict + Share Card →Playing Style Analysis
Physical StopperSmall Sample
Silva is a high-variance defensive maverick who The three most similar players to Jonathan Silva by playing style are:
- Damian van der Haar(78% match) — A Solid Defender.
- Dean van der Sluys(78% match) — A Solid Defender.
- Burhan Ersoy(78% match) — A Solid Defender.
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
D
Damian van der Haar
PEC Zwolle · Eredivisie
Netherlands22yContract 2028
Tkl/901.75
KP/900.72
Solid Defender
vs Silva: 6y younger
78% match
N/A
#2
D
Dean van der Sluys
Kozakken Boys · Eredivisie
Netherlands30y
Tkl/901.49
KP/900.87
Solid Defender
vs Silva: 2y older
78% match
N/A
#3
B
Burhan Ersoy
Fatih Karagümrük · Super Lig
Turkey22y
Tkl/901.61
KP/900.00
Solid Defender
vs Silva: 6y younger
78% match
N/A
#4
R
Rasmus Brodersen
HB Køge · Superliga
Denmark24y
Tkl/900.63
KP/900.63
Solid Defender
Last 5: ↑ Hot78% match
N/A
#5
N
Noah Barholt Rasmussen
Middelfart · Superliga
Denmark20y
Tkl/901.47
KP/900.42
Solid Defender
Last 5: ↑ Hot78% match
N/A
#6
P
Pedro Lima
Wolverhampton Wanderers · Premier League
Brazil19yContract 2029
Tkl/902.49
KP/901.07
Small Sample
Last 5: → Stable78% match
€4.0M
#7
L
Logan Costa
Villarreal · La Liga
Cape Verde25yContract 2030
Tkl/901.36
KP/900.15
Ball-Playing CB
76% match
€18.0M
#8
J
Javi Jiménez
UD Ibiza · La Liga
Spain30y
Tkl/901.99
KP/900.74
Reading Defender
76% match
N/A
#9
R
Rúben Dias
Manchester City · Premier League
Portugal28yContract 2027
Tkl/900.61
KP/900.26
Ball-Playing CBBall-Playing
Last 5: ↑ Hot76% match
€60.0M
#10
D
Daniel Johansen
KÍ · Superliga
Faroe Islands27y
Tkl/901.64
KP/902.18
Solid Defender
76% match
N/A
#11
G
Gonçalo Silva
Noah · Liga Portugal
Portugal34y
Tkl/900.50
KP/900.00
Physical StopperAerial
76% match
N/A
#12
A
António Silva
Benfica · Liga Portugal
Portugal22yContract 2027
Tkl/901.50
KP/900.53
Ball-Playing CBBall-Playing
Last 5: → Stable76% match
€28.0M
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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 Jonathan Silva.
Ask AI about Jonathan Silva →Frequently Asked Questions
Who are the best alternatives to Jonathan Silva?▼
The top alternatives to Jonathan Silva based on AI DNA playing style analysis include: Damian van der Haar, Dean van der Sluys, Burhan Ersoy, Rasmus Brodersen, Noah Barholt Rasmussen. 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 Jonathan Silva in 2026?▼
Players with a similar profile to Jonathan Silva in 2026 include Damian van der Haar (N/A), Dean van der Sluys (N/A), Burhan Ersoy (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Jonathan Silva play and who plays similarly?▼
Jonathan Silva plays as a Defender. Players with a comparable positional profile include Damian van der Haar (Netherlands, N/A); Dean van der Sluys (Netherlands, N/A); Burhan Ersoy (Turkey, N/A); Rasmus Brodersen (Denmark, 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.