AI DNA Similarity
Best Alternatives to Piero Hincapié
Players most similar to Piero Hincapié (Defender, €50.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Piero Hincapié
- 1.Jan Paul van Hecke85% DNA match·Brighton & Hove Albion€35.0M
- 2.Jorge Cuenca86% DNA match·Fulham€8.0M
- 3.Murillo85% DNA match·Nottingham Forest€12.0M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
AssistsTop 16%
???Bottom 25%
“A Ball-Playing CB....”
See Full Verdict + Share Card →Playing Style Analysis
Ball-Playing CBAerial
A Ball-Playing CB. Statistically, he stands out as naturally left-footed, an aggressive ball-winner (2.5 tackles/90), commanding in the air (4.6 clearances/90), meticulous in distribution (89% pass accuracy), wins the physical battle (60% duel success) and active off the ball (2.1 press score/90), contributing to defensive transitions. The three most similar players to Piero Hincapié by playing style are:
- Jan Paul van Hecke(85% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.3 clearances/90), meticulous in distribution (87% pass accuracy), wins the physical battle (61% duel success), heavily involved in possession (70 passes/90), penetrates with forward passing (10.7 final-third passes/90), central to possession (84 touches/90), strong in aerial duels (3.1 aerials won/90) and uses long balls frequently (7.7/90).
- Jorge Cuenca(86% match) — A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (7.1 clearances/90), reads the game exceptionally (1.6 interceptions/90), meticulous in distribution (88% pass accuracy), heavily involved in possession (60 passes/90), central to possession (74 touches/90), uses long balls frequently (7.1/90) and active off the ball (2.3 press score/90), contributing to defensive transitions.
- Murillo(85% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.5 clearances/90), wins the physical battle (56% duel success), uses long balls frequently (7.1/90) and active off the ball (2.5 press score/90), contributing to defensive transitions.
Transfer Intelligence
Jan Paul van Hecke delivers 85% of the same playing style, at 30% lower cost (€35.0M vs €50.0M), with 1.54 tackles won per 90 at age 25.
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
Jan Paul van Hecke
Brighton & Hove Albion · Premier League
Netherlands25yContract 2027
Tkl/901.54
KP/900.36
Ball-Playing CBBall-Playing
Last 5: → Stablevs Hincapié: €15M cheaper
85% match
€35.0M
#2
J
Jorge Cuenca
Fulham · Premier League
Spain26yContract 2028
Tkl/901.64
KP/900.29
Ball-Playing CBBall-Playing
Last 5: ↓ Dipvs Hincapié: €42M cheaper · 2y older
86% match
€8.0M
#3
M
Murillo
Nottingham Forest · Premier League
Brazil23yContract 2029
Tkl/901.48
KP/900.38
Ball-Playing CBAerial
Last 5: → Stablevs Hincapié: €38M cheaper
85% match
€12.0M
#4
M
Marcos Senesi
AFC Bournemouth · Premier League
Argentina29yContract 2026
Tkl/901.71
KP/900.69
Ball-Playing CBBall-Playing
Last 5: → Stable84% match
€22.0M
#5
I
Isak Hien
Atalanta · Serie A
Sweden27yContract 2028
Tkl/902.44
KP/900.23
Ball-Playing CBAerial
Last 5: → Stable84% match
€22.0M
#6
C
Cristhian Mosquera
Arsenal · Premier League
Spain21yContract 2030
Tkl/903.01
KP/900.45
Ball-Playing CBBall-Playing
Last 5: ↓ Dip85% match
€35.0M
#7
B
Bashir Humphreys
Burnley · Premier League
England23y
Tkl/901.64
KP/900.55
Ball-Playing CBAerial
Last 5: ↓ Dip85% match
€12.0M
#8
Y
Yerson Mosquera
Wolverhampton Wanderers · Premier League
Colombia25yContract 2030
Tkl/902.62
KP/900.51
Physical StopperAerial
Last 5: → Stable85% match
€10.0M
#9
J
Jorrel Hato
Chelsea · Premier League
Netherlands20yContract 2032
Tkl/903.15
KP/900.63
Active Full-BackBall-Playing
Last 5: → Stable85% match
€35.0M
#10
M
Marc Guéhi
Manchester City · Premier League
England25yContract 2026
Tkl/901.55
KP/900.45
Ball-Playing CBAerial
Last 5: → Stable84% match
€65.0M
#11
C
Calvin Bassey
Fulham · Premier League
Nigeria26yContract 2027
Tkl/902.22
KP/900.34
Ball-Playing CBBall-Playing
Last 5: → Stable84% match
€28.0M
#12
S
Santiago Bueno
Wolverhampton Wanderers · Premier League
Uruguay27yContract 2028
Tkl/901.90
KP/900.34
Ball-Playing CBAerial
Last 5: → Stable85% match
€10.0M
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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 Piero Hincapié.
Ask AI about Piero Hincapié →Frequently Asked Questions
Who are the best alternatives to Piero Hincapié?▼
The top alternatives to Piero Hincapié based on AI DNA playing style analysis include: Jan Paul van Hecke, Jorge Cuenca, Murillo, Marcos Senesi, Isak Hien. 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 Piero Hincapié in 2026?▼
Players with a similar profile to Piero Hincapié in 2026 include Jan Paul van Hecke (€35.0M), Jorge Cuenca (€8.0M), Murillo (€12.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Piero Hincapié play and who plays similarly?▼
Piero Hincapié plays as a Defender. Players with a comparable positional profile include Jan Paul van Hecke (Netherlands, €35.0M); Jorge Cuenca (Spain, €8.0M); Murillo (Brazil, €12.0M); Marcos Senesi (Argentina, €22.0M).
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.