RisingTransfers
AI DNA Similarity

Best Alternatives to Marvin Senaya

Players most similar to Marvin Senaya (Defender, €3.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Marvin Senaya

  1. 1.Abdoulaye Faye85% DNA match·Lorient€3.0M
  2. 2.Antoine Mendy84% DNA match·Nice€4.0M
  3. 3.Sadibou Sané85% DNA match·Metz€4.0M

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

RT

Intelligence Verdict

InterceptionsTop 15%
???Bottom 0%

A Reading Defender....

See Full Verdict + Share Card →

Playing Style Analysis

Reading DefenderSmall Sample

A Reading Defender. Statistically, he stands out as an aggressive ball-winner (2.8 tackles/90), reads the game exceptionally (1.6 interceptions/90), active off the ball (2.1 press score/90), contributing to defensive transitions and top 10% tackler in the league. Note: this profile is based on 678 minutes of playing time this season. The three most similar players to Marvin Senaya by playing style are:

  • Abdoulaye Faye(85% 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.
  • Antoine Mendy(84% 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.
  • Sadibou Sané(85% match)A Ball-Playing CB. Statistically, he stands out as active in the tackle (2.0 tackles/90), commanding in the air (4.9 clearances/90), reads the game exceptionally (1.8 interceptions/90), meticulous in distribution (90% pass accuracy), heavily involved in possession (76 passes/90), central to possession (90 touches/90), uses long balls frequently (9.7/90) and a high-intensity presser (press score 3.1/90), constantly disrupting opposition build-up. Note: this profile is based on 665 minutes of playing time this season.

Transfer Intelligence

Abdoulaye Faye delivers 85% of the same playing style, 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 →

M
Comparison Base
Marvin Senaya
DefenderFrance€3.0M
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 Senaya: 4y younger
85% match
€3.0M
#2
A
Antoine Mendy
Nice · Ligue 1
France21yContract 2028
Tkl/903.14
KP/900.00
Ball-Playing CBAerial
Last 5: → Stable
vs Senaya: 4y younger
84% match
€4.0M
#3
S
Sadibou Sané
Metz · Ligue 1
Senegal21yContract 2027
Tkl/902.03
KP/900.00
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Senaya: 4y younger
85% match
€4.0M
#4
M
Matthieu Udol
Lens · Ligue 1
France30yContract 2028
Tkl/901.38
KP/901.63
Active Full-BackSmall Sample
Last 5: ↑ Hot
84% match
€5.0M
#5
M
Montassar Talbi
Lorient · Ligue 1
Tunisia27yContract 2027
Tkl/900.70
KP/900.30
Ball-Playing CBAerial
84% match
€7.0M
#6
K
Kassoum Ouattara
Monaco · Ligue 1
France21yContract 2028
Tkl/901.78
KP/901.52
Active Full-Back
84% match
€9.0M
#7
H
Hassane Kamara
Udinese · Serie A
Gambia32yContract 2026
Tkl/901.75
KP/901.19
Active Full-Back
Last 5: ↓ Dip
84% match
€3.0M
#8
I
Ismaëlo Ganiou
Lens · Ligue 1
France21yContract 2027
Tkl/902.83
KP/900.33
Ball-Playing CBBall-Playing
Last 5: → Stable
84% match
€3.0M
#9
M
Moussa Niakhaté
Olympique Lyonnais · Ligue 1
Senegal30yContract 2028
Tkl/900.85
KP/900.36
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
83% match
€15.0M
#10
N
Nathan Ngoy
LOSC Lille · Ligue 1
Belgium22yContract 2029
Tkl/901.21
KP/900.14
Ball-Playing CBAerial
Last 5: ↓ Dip
84% match
€10.0M
#11
A
Alidu Seidu
Rennes · Ligue 1
Ghana25yContract 2029
Tkl/902.85
KP/900.62
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
84% match
€6.0M
#12
W
Willy Kambwala
Villarreal · La Liga
France21yContract 2029
Tkl/901.38
KP/900.09
Ball-Playing CBAerial
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 Marvin Senaya.

Ask AI about Marvin Senaya

Frequently Asked Questions

Who are the best alternatives to Marvin Senaya?
The top alternatives to Marvin Senaya based on AI DNA playing style analysis include: Abdoulaye Faye, Antoine Mendy, Sadibou Sané, Matthieu Udol, Montassar Talbi. 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 Marvin Senaya in 2026?
Players with a similar profile to Marvin Senaya in 2026 include Abdoulaye Faye (€3.0M), Antoine Mendy (€4.0M), Sadibou Sané (€4.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Marvin Senaya play and who plays similarly?
Marvin Senaya plays as a Defender. Players with a comparable positional profile include Abdoulaye Faye (Senegal, €3.0M); Antoine Mendy (France, €4.0M); Sadibou Sané (Senegal, €4.0M); Matthieu Udol (France, €5.0M).
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.