RisingTransfers
AI DNA Similarity

Best Alternatives to Cher Ndour

Players most similar to Cher Ndour (Midfielder, €5.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Cher Ndour

  1. 1.Mandela Keita86% DNA match·Parma€12.0M
  2. 2.Khéphren Thuram87% DNA match·Juventus€40.0M
  3. 3.Nikola Moro86% DNA match·Bologna€6.5M

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

RT

Intelligence Verdict

GoalsTop 4%
???Bottom 23%

Ndour is the kind of midfielder Serie A quietly relies on...

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Playing Style Analysis

Ndour is the kind of midfielder Serie A quietly relies on — not the one who makes the highlights, but the one who makes the machine run. His aerial numbers tell the most interesting story: winning 50% of his duels in the air while ranking in the top 20% for aerials won per 90 suggests a player who picks his battles intelligently rather than throwing himself at everything. His pass volume is above average, and he moves the ball into the final third at a healthy clip — yet here's the contradiction: his key passes sit in the bottom 10% of the league, meaning he circulates possession efficiently without ever quite unlocking anything. The three most similar players to Cher Ndour by playing style are:

  • Mandela Keita(86% match)A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (2.9 tackles/90), meticulous in distribution (89% pass accuracy), wins the physical battle (65% duel success), wins the ball cleanly (1.8 successful tackles/90), active off the ball (2.6 press score/90), contributing to defensive transitions and top 10% tackler in the league.
  • Khéphren Thuram(87% match)Thuram carries the genetic burden of a famous name with surprising ease — not by mimicking his father's grace, but by imposing himself through sheer physical and technical authority in the middle of Serie A's most demanding environments. His passing volume places him in the top 20% of midfielders in the league, and that volume comes with 86.6% accuracy — this isn't a recycler, it's a driver. The counterintuitive read on his 0.86 key passes per 90 is that it undersells his progression: his passes into the final third rank top 30%, meaning he's threading the needle further up the pitch than the creativity numbers suggest.
  • Nikola Moro(86% match)Moro is the kind of midfielder who quietly rewires a team's tempo before anyone notices he's doing it. Playing in Serie A's congested midfield battlegrounds, his 65.6 passes per 90 places him in the top 5% of the league—not because he's safe and sideways, but because he's constantly available and constantly moving the game forward. That's the counterintuitive truth buried in his numbers: his 13.52 passes into the final third per 90, also top 5%, reveals a box-to-box engine with genuine progressive ambition, not a recycler.

Transfer Intelligence

Mandela Keita delivers 86% of the same playing style, at a 140% premium over Cher Ndour, with 0.34 key passes per 90 at age 24.

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

C
Comparison Base
Cher Ndour
MidfielderItaly€5.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
M
Mandela Keita
Parma · Serie A
Belgium24yContract 2029
KP/900.34
G/900.07
Ball-WinnerDefensive
vs Ndour: €7M more expensive · 3y older
86% match
€12.0M
#2
K
Khéphren Thuram
Juventus · Serie A
France25yContract 2029
KP/901.22
G/900.00
Chance Creator
vs Ndour: €35M more expensive · 4y older
87% match
€40.0M
#3
N
Nikola Moro
Bologna · Serie A
Croatia28yContract 2027
KP/902.95
G/900.00
Chance Creator
Last 5: ↓ Dip
vs Ndour: 7y older
86% match
€6.5M
#4
F
Frank Anguissa 
Napoli · Serie A
Cameroon30yContract 2027
KP/901.31
G/900.19
Box-to-BoxSmall Sample
86% match
€15.0M
#5
S
Sandro Tonali
Newcastle United · Premier League
Italy26yContract 2028
KP/901.12
G/900.00
Ball-Winner
Last 5: → Stable
85% match
€80.0M
#6
M
Manuel Locatelli
Juventus · Serie A
Italy28yContract 2028
KP/901.88
G/900.00
MetronomeDefensive
Last 5: ↓ Dip
85% match
€25.0M
#7
M
Michel Adopo
Cagliari · Serie A
France25yContract 2029
KP/900.80
G/900.06
Balanced Midfielder
Last 5: ↑ Hot
85% match
€6.0M
#8
I
Ismaël Koné
Sassuolo · Serie A
Canada23yContract 2030
KP/900.68
G/900.34
Box-to-BoxSmall Sample
Last 5: ↓ Dip
84% match
€14.0M
#9
M
Máximo Perrone
Como · Serie A
Argentina23yContract 2029
KP/900.93
G/900.17
Metronome
Last 5: → Stable
84% match
€25.0M
#10
J
Jens Odgaard
Bologna · Serie A
Denmark27yContract 2027
KP/900.76
G/900.33
CreatorSmall Sample
Last 5: ↑ Hot
84% match
€15.0M
#11
M
Manu Koné
Roma · Serie A
France24yContract 2029
KP/900.99
G/900.11
Box-to-Box
Last 5: → Stable
84% match
€50.0M
#12
M
Michel Aebischer
Pisa · Serie A
Switzerland29yContract 2026
KP/901.05
G/900.00
Balanced Midfielder
Last 5: ↑ Hot
83% match
€4.0M

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 Cher Ndour.

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Frequently Asked Questions

Who are the best alternatives to Cher Ndour?
The top alternatives to Cher Ndour based on AI DNA playing style analysis include: Mandela Keita, Khéphren Thuram, Nikola Moro, Frank Anguissa , Sandro Tonali. 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 Cher Ndour in 2026?
Players with a similar profile to Cher Ndour in 2026 include Mandela Keita (€12.0M), Khéphren Thuram (€40.0M), Nikola Moro (€6.5M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Cher Ndour play and who plays similarly?
Cher Ndour plays as a Midfielder. Players with a comparable positional profile include Mandela Keita (Belgium, €12.0M); Khéphren Thuram (France, €40.0M); Nikola Moro (Croatia, €6.5M); Frank Anguissa  (Cameroon, €15.0M).
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.