RisingTransfers
AI DNA Similarity

Best Alternatives to Senny Mayulu

Players most similar to Senny Mayulu (Midfielder, €40.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Senny Mayulu

  1. 1.Rayan Cherki86% DNA match·Manchester City€50.0M
  2. 2.Stanis Idumbo85% DNA match·Monaco€5.0M
  3. 3.Warren Zaïre-Emery85% DNA match·Paris Saint Germain€50.0M

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

RT

Intelligence Verdict

Key PassesTop 7%
???Bottom 11%

A Creator....

See Full Verdict + Share Card →

Playing Style Analysis

CreatorCreativeDefensive

A Creator. Statistically, he stands out as comfortable with both feet, an elite creator (2.3 key passes/90), a prolific assist provider (0.28 assists/90), an aggressive ball-winner (2.6 tackles/90), meticulous in distribution (88% pass accuracy), heavily involved in play (58 touches/90), active off the ball (2.1 press score/90), contributing to defensive transitions and top 10% creator in the league. The three most similar players to Senny Mayulu by playing style are:

  • Rayan Cherki(86% match)A Creator. Statistically, he stands out as comfortable with both feet, an elite creator (3.2 key passes/90), a constant goal threat (2.8 shots/90), a regular goalscorer (0.21 goals/90), a prolific assist provider (0.58 assists/90), a dynamic dribbler (2.5/90), meticulous in distribution (86% pass accuracy), heavily involved in possession (65 passes/90), creates high-quality scoring opportunities (0.84 big chances/90), central to possession (89 touches/90), active off the ball (2.2 press score/90), contributing to defensive transitions and top 10% creator in the league. However, he loses possession under pressure (1.8 dispossessed/90).
  • Stanis Idumbo(85% match)Idumbo is the kind of midfielder who makes defenders nervous and statisticians do double-takes—a low-volume operator whose every touch carries genuine threat. With only 286 minutes on the clock, the sample is thin, but the signal is loud. His 0.31 goals per 90 sits in Ligue 1's top 5%, and his dribble rate of 2.83 per 90 matches the league's most dangerous ball-carriers.
  • Warren Zaïre-Emery(85% match)A Metronome. Statistically, he stands out as an elite creator (1.8 key passes/90), a reliable supplier (0.22 assists/90), active in the tackle (1.8 tackles/90), meticulous in distribution (94% pass accuracy), heavily involved in possession (76 passes/90), penetrates with forward passing (8.2 final-third passes/90), central to possession (93 touches/90) and active off the ball (2.8 press score/90), contributing to defensive transitions.

Transfer Intelligence

Rayan Cherki delivers 86% of the same playing style, at a 25% premium over Senny Mayulu, with 3.21 key passes per 90 at age 22.

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

S
Comparison Base
Senny Mayulu
MidfielderFrance€40.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
R
Rayan Cherki
Manchester City · Premier League
France22yContract 2030
KP/903.21
G/900.21
CreatorCreative
Last 5: → Stable
vs Mayulu: €10M more expensive · 3y older
86% match
€50.0M
#2
S
Stanis Idumbo
Monaco · Ligue 1
Belgium20yContract 2030
KP/901.89
G/900.31
CreatorCreative
vs Mayulu: €35M cheaper
85% match
€5.0M
#3
W
Warren Zaïre-Emery
Paris Saint Germain · Ligue 1
France20yContract 2029
KP/901.50
G/900.00
MetronomeCreative
Last 5: → Stable
vs Mayulu: €10M more expensive
85% match
€50.0M
#4
A
Antoni Milambo
Brentford · Premier League
Netherlands21yContract 2030
KP/901.22
G/900.14
Creator
83% match
€20.0M
#5
V
Vitinha
Paris Saint Germain · Ligue 1
Portugal26yContract 2029
KP/901.56
G/900.38
MetronomeCreative
Last 5: → Stable
83% match
€110.0M
#6
Q
Quinten Timber
Olympique Marseille · Ligue 1
Netherlands24y
KP/901.98
G/900.14
Ball-WinnerDefensive
Last 5: ↓ Dip
84% match
€7.4M
#7
A
Adrien Thomasson
Lens · Ligue 1
France32yContract 2026
KP/902.56
G/900.00
Box-to-BoxCreative
Last 5: → Stable
84% match
€4.5M
#8
J
Junior Mwanga
Strasbourg · Ligue 1
France23yContract 2027
KP/901.19
G/900.00
Box-to-Box
83% match
€6.0M
#9
M
Mahdi Camara
Rennes · Ligue 1
France27yContract 2029
KP/900.97
G/900.00
Box-to-Box
Last 5: ↓ Dip
83% match
€10.0M
#10
M
Maxi Oyedele
Strasbourg · Ligue 1
Poland21yContract 2030
KP/900.22
G/900.22
Ball-WinnerDefensive
Last 5: ↓ Dip
83% match
€4.0M
#11
B
Bilal Nadir
Olympique Marseille · Ligue 1
France22yContract 2026
KP/901.54
G/900.00
MetronomeCreative
83% match
€9.0M
#12
D
Diego Moreira
Strasbourg · Ligue 1
Portugal21yContract 2029
KP/901.58
G/900.00
Box-to-BoxCreative
Last 5: → Stable
82% match
€18.0M

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 Senny Mayulu.

Ask AI about Senny Mayulu

Frequently Asked Questions

Who are the best alternatives to Senny Mayulu?
The top alternatives to Senny Mayulu based on AI DNA playing style analysis include: Rayan Cherki, Stanis Idumbo, Warren Zaïre-Emery, Antoni Milambo, Vitinha. 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 Senny Mayulu in 2026?
Players with a similar profile to Senny Mayulu in 2026 include Rayan Cherki (€50.0M), Stanis Idumbo (€5.0M), Warren Zaïre-Emery (€50.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Senny Mayulu play and who plays similarly?
Senny Mayulu plays as a Midfielder. Players with a comparable positional profile include Rayan Cherki (France, €50.0M); Stanis Idumbo (Belgium, €5.0M); Warren Zaïre-Emery (France, €50.0M); Antoni Milambo (Netherlands, €20.0M).
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.