AI DNA Similarity
Best Alternatives to Ainsley Maitland-Niles
Players most similar to Ainsley Maitland-Niles (Defender, €10.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Ainsley Maitland-Niles
- 1.Nordi Mukiele84% DNA match·Sunderland€15.0M
- 2.Nuno Mendes84% DNA match·Paris Saint Germain€75.0M
- 3.Bamo Meïté84% DNA match·Lorient€4.0M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
AssistsTop 5%
???Bottom 10%
“A Active Full-Back....”
See Full Verdict + Share Card →Playing Style Analysis
Active Full-Back
A Active Full-Back. Statistically, he stands out as a capable chance creator (1.1 key passes/90), a prolific assist provider (0.28 assists/90), active in the tackle (1.9 tackles/90), meticulous in distribution (86% pass accuracy), wins the physical battle (55% duel success) and active off the ball (2.3 press score/90), contributing to defensive transitions. The three most similar players to Ainsley Maitland-Niles by playing style are:
- Nordi Mukiele(84% match) — A Active Full-Back. Statistically, he stands out as active in the tackle (2.3 tackles/90), commanding in the air (5.0 clearances/90), wins the physical battle (60% duel success) and active off the ball (2.4 press score/90), contributing to defensive transitions.
- Nuno Mendes(84% match) — A Active Full-Back. Statistically, he stands out as naturally left-footed, an elite creator (2.4 key passes/90), a regular goalscorer (0.25 goals/90), a prolific assist provider (0.37 assists/90), meticulous in distribution (89% pass accuracy), wins the physical battle (55% duel success), heavily involved in possession (75 passes/90), creates high-quality scoring opportunities (0.74 big chances/90), penetrates with forward passing (11.9 final-third passes/90), central to possession (102 touches/90), switches play with precision (6.1 long balls/90, 70% accuracy) and a high-intensity presser (press score 3.2/90), constantly disrupting opposition build-up. Note: this profile is based on 727 minutes of playing time this season.
- Bamo Meïté(84% match) — A Ball-Playing CB. Statistically, he stands out as a reliable supplier (0.17 assists/90), commanding in the air (7.0 clearances/90), meticulous in distribution (85% pass accuracy) and wins the physical battle (59% duel success). Note: this profile is based on 540 minutes of playing time this season.
Transfer Intelligence
Nordi Mukiele delivers 84% of the same playing style, at a 50% premium over Ainsley Maitland-Niles, with 2.31 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
N
Nordi Mukiele
Sunderland · Premier League
France28yContract 2029
Tkl/902.31
KP/900.72
Active Full-BackAerial
Last 5: → Stable84% match
€15.0M
#2
N
Nuno Mendes
Paris Saint Germain · Ligue 1
Portugal23yContract 2029
Tkl/901.82
KP/901.61
Active Full-BackBall-Playing
Last 5: → Stablevs Maitland-Niles: €65M more expensive · 5y younger
84% match
€75.0M
#3
B
Bamo Meïté
Lorient · Ligue 1
France24yContract 2026
Tkl/901.33
KP/900.17
Ball-Playing CBAerial
vs Maitland-Niles: €6M cheaper · 4y younger
84% match
€4.0M
#4
J
J. Timber
Arsenal · Premier League
Netherlands24yContract 2028
Tkl/902.42
KP/900.99
Active Full-Back
Last 5: → Stable83% match
€70.0M
#5
A
Arsène Kouassi
Lorient · Ligue 1
Burkina Faso21yContract 2029
Tkl/900.74
KP/901.27
Active Full-BackSmall Sample
83% match
€7.0M
#6
S
Saud Abdulhamid
Lens · Ligue 1
Saudi Arabia26yContract 2026
Tkl/902.08
KP/902.29
Active Full-Back
Last 5: → Stable83% match
€3.0M
#7
K
Konstantinos Mavropanos
West Ham United · Premier League
Greece28yContract 2028
Tkl/901.37
KP/900.15
Physical StopperAerial
Last 5: → Stable83% match
€15.0M
#8
B
Bafodé Diakité
AFC Bournemouth · Premier League
France25y
Tkl/901.41
KP/900.21
Ball-Playing CBAerial
82% match
€30.0M
#9
R
Rayan Aït-Nouri
Manchester City · Premier League
Algeria24yContract 2030
Tkl/903.20
KP/901.03
Active Full-BackSmall Sample
Last 5: → Stable83% match
€40.0M
#10
A
Andrew Omobamidele
Strasbourg · Ligue 1
Republic of Ireland23yContract 2029
Tkl/900.67
KP/900.19
Ball-Playing CBBall-Playing
Last 5: → Stable83% match
€7.0M
#11
C
Clinton Mata
Olympique Lyonnais · Ligue 1
Angola33yContract 2026
Tkl/901.29
KP/900.09
Ball-Playing CBBall-Playing
Last 5: ↓ Dip82% match
€3.0M
#12
I
Ilya Zabarnyi
Paris Saint Germain · Ligue 1
Ukraine23yContract 2030
Tkl/900.87
KP/900.17
Ball-Playing CBBall-Playing
82% match
€50.0M
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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 Ainsley Maitland-Niles.
Ask AI about Ainsley Maitland-Niles →Frequently Asked Questions
Who are the best alternatives to Ainsley Maitland-Niles?▼
The top alternatives to Ainsley Maitland-Niles based on AI DNA playing style analysis include: Nordi Mukiele, Nuno Mendes, Bamo Meïté, J. Timber, Arsène Kouassi. 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 Ainsley Maitland-Niles in 2026?▼
Players with a similar profile to Ainsley Maitland-Niles in 2026 include Nordi Mukiele (€15.0M), Nuno Mendes (€75.0M), Bamo Meïté (€4.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Ainsley Maitland-Niles play and who plays similarly?▼
Ainsley Maitland-Niles plays as a Defender. Players with a comparable positional profile include Nordi Mukiele (France, €15.0M); Nuno Mendes (Portugal, €75.0M); Bamo Meïté (France, €4.0M); J. Timber (Netherlands, €70.0M).
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.