AI DNA Similarity
Best Alternatives to Joan Oriol
Players most similar to Joan Oriol (Defender, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
A Physical Stopper in Copa Del Rey. Statistically, he stands out as an aggressive ball-winner (3.0 tackles/90), reads the game exceptionally (3.7 interceptions/90), wins the physical battle (62% duel success) and top 10% tackler in the league. The three most similar players to Joan Oriol by playing style are:
- Edu Campabadal(99% match) — A Physical Stopper in Copa Del Rey. Statistically, he stands out as an aggressive ball-winner (2.7 tackles/90), reads the game exceptionally (1.6 interceptions/90) and wins the physical battle (57% duel success).
- Nacho Lopez(98% match) — A Physical Stopper in Copa Del Rey. Statistically, he stands out as a capable chance creator (1.2 key passes/90), an aggressive ball-winner (4.0 tackles/90), reads the game exceptionally (3.2 interceptions/90), wins the physical battle (55% duel success) and top 10% tackler in the league.
- David Juncà(96% match) — A Solid Defender in Copa Del Rey. Statistically, he stands out as an aggressive ball-winner (2.8 tackles/90), wins the physical battle (55% duel success) and top 10% tackler in the league.
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
E
Edu Campabadal
Real Avilés · La Liga
Spain33y
Tkl/902.63
KP/901.02
Physical Stopper
99% match
N/A
#2
N
Nacho Lopez
Langreo · La Liga
Spain38y
Tkl/904.00
KP/901.20
Physical StopperSmall Sample
98% match
N/A
#3
D
David Juncà
Gimnàstic Tarragona · La Liga
Spain32y
Tkl/903.06
KP/900.48
Solid Defender
96% match
N/A
#4
L
Lolo González
Union Estepona · La Liga
Spain34y
Tkl/901.70
KP/900.25
Physical Stopper
96% match
N/A
#5
A
Abdel Abqar
Getafe · La Liga
Morocco27yContract 2028
Tkl/902.68
KP/900.36
Physical StopperAerial
Last 5: → Stable93% match
€6.0M
#6
J
Javi Jiménez
UD Ibiza · La Liga
Spain30y
Tkl/901.99
KP/900.74
Reading Defender
92% match
N/A
#7
A
Alejandro Benítez
Lucena · La Liga
Spain25y
Tkl/901.99
KP/900.50
Reading DefenderSmall Sample
92% match
N/A
#8
L
Lucas Ahijado
Real Oviedo · La Liga
Spain31yContract 2026
Tkl/904.08
KP/900.74
92% match
N/A
#9
J
Jon Aramburu
Real Sociedad · La Liga
Venezuela23yContract 2030
Tkl/903.57
KP/900.38
Active Full-Back
Last 5: ↓ Dip91% match
€15.0M
#10
P
Patrick
Oratório · Liga Portugal
Brazil35y
Tkl/902.12
KP/901.11
Physical Stopper
91% match
N/A
#11
J
Juan Iglesias
Getafe · La Liga
Spain27yContract 2026
Tkl/903.38
KP/900.59
91% match
€5.0M
#12
J
Jakob Jessen
Fredericia · Superliga
Denmark22y
Tkl/904.13
KP/900.66
Physical Stopper
Last 5: → Stable90% match
N/A
⬡
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 Joan Oriol.
Ask AI about Joan Oriol →Frequently Asked Questions
Who are the best alternatives to Joan Oriol?▼
The top alternatives to Joan Oriol based on AI DNA playing style analysis include: Edu Campabadal, Nacho Lopez, David Juncà, Lolo González, Abdel Abqar. 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 Joan Oriol in 2026?▼
Players with a similar profile to Joan Oriol in 2026 include Edu Campabadal (N/A), Nacho Lopez (N/A), David Juncà (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Joan Oriol play and who plays similarly?▼
Joan Oriol plays as a Defender. Players with a comparable positional profile include Edu Campabadal (Spain, N/A); Nacho Lopez (Spain, N/A); David Juncà (Spain, N/A); Lolo González (Spain, 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.