RisingTransfers
AI DNA Similarity

Best Alternatives to Rayan Aït-Nouri

Players most similar to Rayan Aït-Nouri (Defender, €40.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Rayan Aït-Nouri

  1. 1.Matheus Nunes87% DNA match·Manchester City€45.0M
  2. 2.Kenny Tete87% DNA match·Fulham€11.0M
  3. 3.Riccardo Calafiori86% DNA match·Arsenal€50.0M

Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.

RT

Intelligence Verdict

DribblesTop 1%
???Bottom 0%

A Active Full-Back....

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Playing Style Analysis

Active Full-BackSmall Sample

A Active Full-Back. Statistically, he stands out as naturally left-footed, a capable chance creator (1.0 key passes/90), a reliable supplier (0.21 assists/90), a dynamic dribbler (2.2/90), an aggressive ball-winner (3.2 tackles/90), meticulous in distribution (90% pass accuracy), wins the physical battle (61% duel success), wins the ball cleanly (2.1 successful tackles/90), central to possession (81 touches/90), active off the ball (2.9 press score/90), contributing to defensive transitions and top 10% tackler in the league. Note: this profile is based on 873 minutes of playing time this season. The three most similar players to Rayan Aït-Nouri by playing style are:

  • Matheus Nunes(87% match)A Active Full-Back. Statistically, he stands out as a reliable supplier (0.17 assists/90), active in the tackle (1.9 tackles/90), meticulous in distribution (89% pass accuracy), wins the physical battle (59% duel success), heavily involved in possession (68 passes/90), central to possession (91 touches/90) and active off the ball (2.8 press score/90), contributing to defensive transitions.
  • Kenny Tete(87% match)A Physical Stopper. Statistically, he stands out as an aggressive ball-winner (3.3 tackles/90), wins the physical battle (60% duel success), wins the ball cleanly (2.0 successful tackles/90), central to possession (71 touches/90), active off the ball (2.6 press score/90), contributing to defensive transitions and top 10% tackler in the league.
  • Riccardo Calafiori(86% match)A Active Full-Back. Statistically, he stands out as naturally left-footed, active in the tackle (1.8 tackles/90), meticulous in distribution (85% pass accuracy), wins the physical battle (57% duel success) and active off the ball (2.2 press score/90), contributing to defensive transitions.

Transfer Intelligence

Matheus Nunes delivers 87% of the same playing style, at a 12% premium over Rayan Aït-Nouri, with 1.89 tackles won per 90 at age 27.

Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →

R
Comparison Base
Rayan Aït-Nouri
DefenderAlgeria€40.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
M
Matheus Nunes
Manchester City · Premier League
Portugal27yContract 2028
Tkl/901.89
KP/900.93
Active Full-BackBall-Playing
Last 5: → Stable
vs Aït-Nouri: 3y older
87% match
€45.0M
#2
K
Kenny Tete
Fulham · Premier League
Netherlands30yContract 2028
Tkl/903.26
KP/900.55
Physical Stopper
Last 5: → Stable
vs Aït-Nouri: €29M cheaper · 6y older
87% match
€11.0M
#3
R
Riccardo Calafiori
Arsenal · Premier League
Italy23yContract 2029
Tkl/901.81
KP/900.34
Active Full-Back
Last 5: → Stable
vs Aït-Nouri: €10M more expensive
86% match
€50.0M
#4
Á
Álex Jiménez
AFC Bournemouth · Premier League
Spain21yContract 2026
Tkl/902.71
KP/900.58
Last 5: → Stable
86% match
€18.0M
#5
A
Antonee Robinson
Fulham · Premier League
United States28yContract 2028
Tkl/903.02
KP/901.37
Active Full-Back
Last 5: → Stable
86% match
€25.0M
#6
M
Malick Thiaw
Newcastle United · Premier League
Germany24yContract 2029
Tkl/901.29
KP/900.19
Ball-Playing CBAerial
Last 5: ↑ Hot
86% match
€45.0M
#7
L
Lucas Pires
Burnley · Premier League
Brazil25yContract 2028
Tkl/901.84
KP/901.32
Active Full-Back
Last 5: ↓ Dip
86% match
€5.0M
#8
E
El Hadji Malick Diouf
West Ham United · Premier League
Senegal21yContract 2030
Tkl/901.49
KP/900.93
Active Full-Back
Last 5: ↑ Hot
85% match
€28.0M
#9
N
Neco Williams
Nottingham Forest · Premier League
Wales25yContract 2029
Tkl/902.71
KP/901.07
Active Full-Back
Last 5: → Stable
85% match
€25.0M
#10
A
Adrien Truffert
AFC Bournemouth · Premier League
France24yContract 2030
Tkl/902.62
KP/900.76
Active Full-Back
Last 5: ↓ Dip
85% match
€20.0M
#11
J
Jair Cunha 
Nottingham Forest · Premier League
Brazil21yContract 2030
Tkl/901.61
KP/900.00
Ball-Playing CBBall-Playing
Last 5: → Stable
85% match
€12.0M
#12
M
Michael Kayode
Brentford · Premier League
Italy21yContract 2030
Tkl/901.87
KP/900.99
Active Full-Back
Last 5: → Stable
85% match
€35.0M

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 Rayan Aït-Nouri.

Ask AI about Rayan Aït-Nouri

Frequently Asked Questions

Who are the best alternatives to Rayan Aït-Nouri?
The top alternatives to Rayan Aït-Nouri based on AI DNA playing style analysis include: Matheus Nunes, Kenny Tete, Riccardo Calafiori, Álex Jiménez, Antonee Robinson. 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 Rayan Aït-Nouri in 2026?
Players with a similar profile to Rayan Aït-Nouri in 2026 include Matheus Nunes (€45.0M), Kenny Tete (€11.0M), Riccardo Calafiori (€50.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Rayan Aït-Nouri play and who plays similarly?
Rayan Aït-Nouri plays as a Defender. Players with a comparable positional profile include Matheus Nunes (Portugal, €45.0M); Kenny Tete (Netherlands, €11.0M); Riccardo Calafiori (Italy, €50.0M); Álex Jiménez (Spain, €18.0M).
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.