AI DNA Similarity
Best Alternatives to Javier Agenjo Durán
Players most similar to Javier Agenjo Durán (Midfielder, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
Tom Trybull is a Metronome. Possession anchor who dictates tempo. The three most similar players to Javier Agenjo Durán by playing style are:
- Jerdy Schouten(88% match) — Jerdy Schouten is a Metronome. Possession anchor who dictates tempo.
- Amadou Haidara(87% match) — A Metronome. Statistically, he stands out as active in the tackle (2.0 tackles/90), heavily involved in possession (60 passes/90) and central to possession (77 touches/90).
- Daniel Boloca(87% match) — A Metronome. Statistically, he stands out as active in the tackle (1.9 tackles/90), meticulous in distribution (91% pass accuracy) and central to possession (71 touches/90).
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
Jerdy Schouten
PSV · Eredivisie
Netherlands29yContract 2030
KP/900.88
G/900.04
Metronome
88% match
€22.0M
#2
A
Amadou Haidara
Lens · Ligue 1
Mali28yContract 2029
KP/900.34
G/900.00
Metronome
Last 5: ↓ Dip87% match
€6.0M
#3
D
Daniel Boloca
Sassuolo · Serie A
Romania27yContract 2028
KP/900.77
G/900.13
Metronome
87% match
€5.0M
#4
P
P. Langhoff
Lyngby Boldklub · Superliga
Denmark22yContract 2026
KP/900.72
G/900.00
MetronomeDefensive
87% match
N/A
#5
M
Manu Molina
Eldense · La Liga
Spain34y
KP/901.28
G/900.03
Metronome
87% match
N/A
#6
R
Ryan Gravenberch
Liverpool · Premier League
Netherlands23yContract 2028
KP/900.89
G/900.14
Metronome
Last 5: ↓ Dip87% match
€90.0M
#7
N
Nico González
Manchester City · Premier League
Spain24yContract 2029
KP/900.52
G/900.07
Metronome
Last 5: ↓ Dip87% match
€45.0M
#8
A
André Gomes
LOSC Lille · Ligue 1
Portugal32yContract 2026
KP/900.79
G/900.00
Metronome
87% match
€4.5M
#9
M
Mario Lemina
Galatasaray · Super Lig
Gabon32yContract 2026
KP/900.36
G/900.00
Metronome
86% match
€6.0M
#10
A
Aurélien Tchouaméni
Real Madrid · La Liga
France26yContract 2028
KP/900.92
G/900.04
Metronome
Last 5: → Stable86% match
€75.0M
#11
M
Morten Hjulmand
Sporting CP · Liga Portugal
Denmark26yContract 2028
KP/901.07
G/900.09
Metronome
86% match
€50.0M
#12
M
Marko Grujić
AEK Athens · Liga Portugal
Serbia29y
KP/900.69
G/900.08
MetronomeDefensive
86% match
€9.0M
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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 Javier Agenjo Durán.
Ask AI about Javier Agenjo Durán →Frequently Asked Questions
Who are the best alternatives to Javier Agenjo Durán?▼
The top alternatives to Javier Agenjo Durán based on AI DNA playing style analysis include: Jerdy Schouten, Amadou Haidara, Daniel Boloca, P. Langhoff, Manu Molina. 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 Javier Agenjo Durán in 2026?▼
Players with a similar profile to Javier Agenjo Durán in 2026 include Jerdy Schouten (€22.0M), Amadou Haidara (€6.0M), Daniel Boloca (€5.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Javier Agenjo Durán play and who plays similarly?▼
Javier Agenjo Durán plays as a Midfielder. Players with a comparable positional profile include Jerdy Schouten (Netherlands, €22.0M); Amadou Haidara (Mali, €6.0M); Daniel Boloca (Romania, €5.0M); P. Langhoff (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.