RisingTransfers
AI DNA Similarity

Best Alternatives to Abdoulaye Ndiaye

Players most similar to Abdoulaye Ndiaye (Defender, €6.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Abdoulaye Ndiaye

  1. 1.Abdoulaye Faye87% DNA match·Lorient€3.0M
  2. 2.Moussa Niakhaté86% DNA match·Olympique Lyonnais€15.0M
  3. 3.Evan Ndicka86% DNA match·Roma€30.0M

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

RT

Intelligence Verdict

Aerials WonTop 0%
???Bottom 0%

A Ball-Playing CB....

See Full Verdict + Share Card →

Playing Style Analysis

Ball-Playing CBAerialSmall Sample

A Ball-Playing CB. Statistically, he stands out as naturally left-footed, active in the tackle (1.9 tackles/90), commanding in the air (4.9 clearances/90), wins the physical battle (57% duel success), uses long balls frequently (5.3/90) and active off the ball (2.0 press score/90), contributing to defensive transitions. Note: this profile is based on 752 minutes of playing time this season. The three most similar players to Abdoulaye Ndiaye by playing style are:

  • Abdoulaye Faye(87% match)A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (5.2 clearances/90), reads the game exceptionally (1.9 interceptions/90) and meticulous in distribution (90% pass accuracy). Note: this profile is based on 466 minutes of playing time this season.
  • Moussa Niakhaté(86% match)A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (6.4 clearances/90), meticulous in distribution (91% pass accuracy), wins the physical battle (70% duel success), penetrates with forward passing (9.0 final-third passes/90), central to possession (75 touches/90), dominant in the air (3.6 aerials won/90, 71%) and active off the ball (2.2 press score/90), contributing to defensive transitions. Note: this profile is based on 733 minutes of playing time this season.
  • Evan Ndicka(86% match)Ndicka has quietly become one of Serie A's most complete left-sided centre-backs — a defender who wins headers, reads danger early, and still finds time to score goals that matter. His 91.1% pass accuracy places him in the top fifth of defenders in the league, yet he's no mere recycler; his pressing intensity ranking tells the real story of a man who hunts possession rather than waits for it. The counterintuitive detail here is his tackles won figure, which sits below average — but that's less a weakness than a reflection of his anticipation.

Transfer Intelligence

Abdoulaye Faye delivers 87% of the same playing style, at 54% lower cost (€3.0M vs €6.5M), with 1.74 tackles won per 90 at age 21.

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

A
Comparison Base
Abdoulaye Ndiaye
DefenderSenegal€6.5M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
A
Abdoulaye Faye
Lorient · Ligue 1
Senegal21yContract 2026
Tkl/901.74
KP/900.00
Ball-Playing CBAerial
vs Ndiaye: 3y younger
87% match
€3.0M
#2
M
Moussa Niakhaté
Olympique Lyonnais · Ligue 1
Senegal30yContract 2028
Tkl/900.85
KP/900.36
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
vs Ndiaye: €9M more expensive · 6y older
86% match
€15.0M
#3
E
Evan Ndicka
Roma · Serie A
France26yContract 2028
Tkl/900.85
KP/900.18
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Ndiaye: €24M more expensive · 2y older
86% match
€30.0M
#4
Y
Youssouf Ndayishimiye 
Nice · Ligue 1
Burundi27yContract 2027
Tkl/901.95
KP/900.20
Ball-Playing CBBall-Playing
86% match
€8.0M
#5
S
Sinaly Diomandé
Auxerre · Ligue 1
Ivory Coast25yContract 2027
Tkl/901.34
KP/900.22
Ball-Playing CBAerial
Last 5: → Stable
86% match
€4.0M
#6
I
Isak Hien
Atalanta · Serie A
Sweden27yContract 2028
Tkl/902.44
KP/900.23
Ball-Playing CBAerial
Last 5: → Stable
85% match
€22.0M
#7
A
Armel Bella-Kotchap
Hellas Verona · Serie A
Germany24yContract 2030
Tkl/901.16
KP/900.00
Physical StopperAerial
86% match
€7.5M
#8
S
Sikou Niakaté
Sporting Braga · Liga Portugal
Mali26yContract 2028
Tkl/900.96
KP/900.48
Aerial DefenderBall-Playing Defender
Last 5: ↑ Hot
86% match
€8.0M
#9
A
Antoine Mendy
Nice · Ligue 1
France21yContract 2028
Tkl/903.14
KP/900.00
Ball-Playing CBAerial
Last 5: → Stable
85% match
€4.0M
#10
B
Bafodé Diakité
AFC Bournemouth · Premier League
France25y
Tkl/901.41
KP/900.21
Ball-Playing CBAerial
85% match
€30.0M
#11
M
Mariano Troilo
Parma · Serie A
Argentina22yContract 2030
Tkl/902.16
KP/900.33
Ball-Playing CBAerial
85% match
€6.0M
#12
O
Odilon Kossounou
Atalanta · Serie A
Ivory Coast25yContract 2029
Tkl/901.33
KP/900.11
Ball-Playing CBBall-Playing
Last 5: → Stable
85% match
€22.0M

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 Abdoulaye Ndiaye.

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Frequently Asked Questions

Who are the best alternatives to Abdoulaye Ndiaye?
The top alternatives to Abdoulaye Ndiaye based on AI DNA playing style analysis include: Abdoulaye Faye, Moussa Niakhaté, Evan Ndicka, Youssouf Ndayishimiye , Sinaly Diomandé. 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 Abdoulaye Ndiaye in 2026?
Players with a similar profile to Abdoulaye Ndiaye in 2026 include Abdoulaye Faye (€3.0M), Moussa Niakhaté (€15.0M), Evan Ndicka (€30.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Abdoulaye Ndiaye play and who plays similarly?
Abdoulaye Ndiaye plays as a Defender. Players with a comparable positional profile include Abdoulaye Faye (Senegal, €3.0M); Moussa Niakhaté (Senegal, €15.0M); Evan Ndicka (France, €30.0M); Youssouf Ndayishimiye  (Burundi, €8.0M).
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.