AI DNA Similarity
Best Alternatives to Abdoulaye Faye
Players most similar to Abdoulaye Faye (Defender, €3.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Abdoulaye Faye
- 1.Abdoulaye Ndiaye87% DNA match·Parma€6.5M
- 2.Moussa Niakhaté86% DNA match·Olympique Lyonnais€15.0M
- 3.Antoine Mendy86% DNA match·Nice€4.0M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
InterceptionsTop 6%
???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, 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. The three most similar players to Abdoulaye Faye by playing style are:
- Abdoulaye Ndiaye(87% match) — 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.
- 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.
- Antoine Mendy(86% match) — A Ball-Playing CB. Statistically, he stands out as an aggressive ball-winner (3.3 tackles/90), commanding in the air (7.3 clearances/90), meticulous in distribution (85% pass accuracy), wins the physical battle (66% duel success), wins the ball cleanly (2.4 successful tackles/90), dominant in the air (3.3 aerials won/90, 76%), active off the ball (2.2 press score/90), contributing to defensive transitions and top 10% tackler in the league. Note: this profile is based on 630 minutes of playing time this season.
Transfer Intelligence
Abdoulaye Ndiaye delivers 87% of the same playing style, at a 117% premium over Abdoulaye Faye, with 2.24 tackles won per 90 at age 24.
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
A
Abdoulaye Ndiaye
Parma · Serie A
Senegal24yContract 2029
Tkl/902.24
KP/900.00
Ball-Playing CBAerial
vs Faye: 3y older
87% match
€6.5M
#2
M
Moussa Niakhaté
Olympique Lyonnais · Ligue 1
Senegal30yContract 2028
Tkl/900.85
KP/900.36
Ball-Playing CBBall-Playing
Last 5: ↑ Hotvs Faye: €12M more expensive · 9y older
86% match
€15.0M
#3
A
Antoine Mendy
Nice · Ligue 1
France21yContract 2028
Tkl/903.14
KP/900.00
Ball-Playing CBAerial
Last 5: → Stable86% match
€4.0M
#4
M
Malang Sarr
Lens · Ligue 1
France27yContract 2026
Tkl/902.13
KP/900.38
Ball-Playing CBBall-Playing
Last 5: → Stable86% match
€10.0M
#5
I
Ismaël Doukouré
Strasbourg · Ligue 1
France22yContract 2026
Tkl/901.52
KP/900.10
Ball-Playing CBBall-Playing
Last 5: ↓ Dip86% match
€18.0M
#6
N
Nathan Ngoy
LOSC Lille · Ligue 1
Belgium22yContract 2029
Tkl/901.21
KP/900.14
Ball-Playing CBAerial
Last 5: ↓ Dip86% match
€10.0M
#7
S
Samson Baidoo
Lens · Ligue 1
Austria22yContract 2030
Tkl/901.98
KP/900.28
Ball-Playing CBAerial
Last 5: → Stable85% match
€12.0M
#8
M
Mamadou Sarr
Chelsea · Ligue 1
France20yContract 2033
Tkl/900.67
KP/900.33
Ball-Playing CBBall-Playing
Last 5: → Stable86% match
€25.0M
#9
L
Lilian Brassier
Rennes · Ligue 1
France26yContract 2029
Tkl/901.14
KP/901.01
Ball-Playing CBBall-Playing
85% match
€12.0M
#10
M
Marvin Senaya
Auxerre · Ligue 1
France25yContract 2029
Tkl/902.79
KP/900.27
Reading DefenderSmall Sample
Last 5: → Stable85% match
€3.0M
#11
C
Christian Mawissa
Monaco · Ligue 1
France21yContract 2029
Tkl/900.46
KP/900.00
Ball-Playing CBBall-Playing
Last 5: ↑ Hot85% match
€15.0M
#12
A
Armel Bella-Kotchap
Hellas Verona · Serie A
Germany24yContract 2030
Tkl/901.16
KP/900.00
Physical StopperAerial
85% match
€7.5M
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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 Abdoulaye Faye.
Ask AI about Abdoulaye Faye →Frequently Asked Questions
Who are the best alternatives to Abdoulaye Faye?▼
The top alternatives to Abdoulaye Faye based on AI DNA playing style analysis include: Abdoulaye Ndiaye, Moussa Niakhaté, Antoine Mendy, Malang Sarr, Ismaël Doukouré. 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 Faye in 2026?▼
Players with a similar profile to Abdoulaye Faye in 2026 include Abdoulaye Ndiaye (€6.5M), Moussa Niakhaté (€15.0M), Antoine Mendy (€4.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Abdoulaye Faye play and who plays similarly?▼
Abdoulaye Faye plays as a Defender. Players with a comparable positional profile include Abdoulaye Ndiaye (Senegal, €6.5M); Moussa Niakhaté (Senegal, €15.0M); Antoine Mendy (France, €4.0M); Malang Sarr (France, €10.0M).
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.