AI DNA Similarity
Best Alternatives to Nayef Aguerd
Players most similar to Nayef Aguerd (Defender, €35.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Nayef Aguerd
- 1.Emmanuel Agbadou89% DNA match·Beşiktaş€18.0M
- 2.Leonardo Balerdi89% DNA match·Olympique Marseille€20.0M
- 3.Marc Guéhi88% DNA match·Manchester City€65.0M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
Chances MissedTop 0%
???Bottom 0%
“A Ball-Playing CB....”
See Full Verdict + Share Card →Playing Style Analysis
Ball-Playing CBBall-PlayingAerial
A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (4.6 clearances/90), meticulous in distribution (93% pass accuracy), wins the physical battle (58% duel success), heavily involved in possession (87 passes/90), central to possession (99 touches/90) and active off the ball (2.7 press score/90), contributing to defensive transitions. The three most similar players to Nayef Aguerd by playing style are:
- Emmanuel Agbadou(89% match) — A Ball-Playing CB. Statistically, he stands out as an aggressive ball-winner (2.6 tackles/90), commanding in the air (5.3 clearances/90), wins the physical battle (64% duel success), penetrates with forward passing (9.7 final-third passes/90), wins the ball cleanly (1.9 successful tackles/90), central to possession (71 touches/90), uses long balls frequently (9.6/90) and a high-intensity presser (press score 3.0/90), constantly disrupting opposition build-up.
- Leonardo Balerdi(89% match) — A Ball-Playing CB. Statistically, he stands out as an aggressive ball-winner (2.8 tackles/90), commanding in the air (4.0 clearances/90), meticulous in distribution (93% pass accuracy), heavily involved in possession (72 passes/90), central to possession (84 touches/90), uses long balls frequently (5.6/90) and active off the ball (2.2 press score/90), contributing to defensive transitions. However, he struggles in aerial duels.
- Marc Guéhi(88% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.2 clearances/90), meticulous in distribution (85% pass accuracy), wins the physical battle (64% duel success), uses long balls frequently (6.3/90) and active off the ball (2.5 press score/90), contributing to defensive transitions.
Transfer Intelligence
Emmanuel Agbadou delivers 89% of the same playing style, at 49% lower cost (€18.0M vs €35.0M), with 2.62 tackles won per 90 at age 28.
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
Emmanuel Agbadou
Beşiktaş · Premier League
Ivory Coast28yContract 2029
Tkl/902.62
KP/900.33
Ball-Playing CBAerial
Last 5: → Stablevs Aguerd: €17M cheaper · 2y younger
89% match
€18.0M
#2
L
Leonardo Balerdi
Olympique Marseille · Ligue 1
Argentina27yContract 2028
Tkl/902.76
KP/900.13
Ball-Playing CBBall-Playing
vs Aguerd: €15M cheaper · 3y younger
89% match
€20.0M
#3
M
Marc Guéhi
Manchester City · Premier League
England25yContract 2026
Tkl/901.55
KP/900.45
Ball-Playing CBAerial
Last 5: → Stablevs Aguerd: €30M more expensive · 5y younger
88% match
€65.0M
#4
W
William Saliba
Arsenal · Premier League
France25yContract 2027
Tkl/901.28
KP/900.36
Ball-Playing CBBall-Playing
Last 5: → Stable87% match
€90.0M
#5
M
Mohammed Salisu
Monaco · Ligue 1
Ghana27yContract 2028
Tkl/900.20
KP/900.20
Ball-Playing CBBall-Playing
87% match
€10.0M
#6
A
Anthony Rouault
Rennes · Ligue 1
France24yContract 2029
Tkl/901.23
KP/900.00
Ball-Playing CBAerial
87% match
€9.0M
#7
M
Moussa Niakhaté
Olympique Lyonnais · Ligue 1
Senegal30yContract 2028
Tkl/900.85
KP/900.36
Ball-Playing CBBall-Playing
Last 5: ↑ Hot87% match
€15.0M
#8
J
Jérémy Jacquet
Rennes · Ligue 1
France20yContract 2029
Tkl/901.14
KP/900.68
Ball-Playing CBBall-Playing
86% match
€20.0M
#9
A
Arthur Theate
Eintracht Frankfurt · Bundesliga
Belgium25yContract 2029
Tkl/902.42
KP/900.70
Ball-Playing CBBall-Playing
86% match
€20.0M
#10
L
Loïc Badé
Bayer 04 Leverkusen · Bundesliga
France26yContract 2030
Tkl/902.37
KP/900.59
Ball-Playing CBBall-Playing
87% match
€25.0M
#11
J
Joachim Andersen
Fulham · Premier League
Denmark29yContract 2029
Tkl/901.41
KP/900.22
Ball-Playing CBBall-Playing
Last 5: → Stable86% match
€25.0M
#12
L
Lisandro Martínez
Manchester United · Premier League
Argentina28yContract 2027
Tkl/901.37
KP/900.34
Ball-Playing CBBall-Playing
87% match
€35.0M
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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 Nayef Aguerd.
Ask AI about Nayef Aguerd →Frequently Asked Questions
Who are the best alternatives to Nayef Aguerd?▼
The top alternatives to Nayef Aguerd based on AI DNA playing style analysis include: Emmanuel Agbadou, Leonardo Balerdi, Marc Guéhi, William Saliba, Mohammed Salisu. 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 Nayef Aguerd in 2026?▼
Players with a similar profile to Nayef Aguerd in 2026 include Emmanuel Agbadou (€18.0M), Leonardo Balerdi (€20.0M), Marc Guéhi (€65.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Nayef Aguerd play and who plays similarly?▼
Nayef Aguerd plays as a Defender. Players with a comparable positional profile include Emmanuel Agbadou (Ivory Coast, €18.0M); Leonardo Balerdi (Argentina, €20.0M); Marc Guéhi (England, €65.0M); William Saliba (France, €90.0M).
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.