RisingTransfers
AI DNA Similarity

Best Alternatives to Aschraf El Mahdioui

Players most similar to Aschraf El Mahdioui (Midfielder, €2.4M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Aschraf El Mahdioui

  1. 1.Neil El Aynaoui87% DNA match·Roma€20.0M
  2. 2.Samir El Mourabet85% DNA match·Strasbourg€18.0M
  3. 3.Beni Mukendi85% DNA match·Vitória Guimarães€3.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 0%

A Metronome....

See Full Verdict + Share Card →

Playing Style Analysis

Metronome

A Metronome. Statistically, he stands out as meticulous in distribution (90% pass accuracy), penetrates with forward passing (8.4 final-third passes/90), heavily involved in play (68 touches/90), switches play with precision (5.6 long balls/90, 67% accuracy) and active off the ball (2.9 press score/90), contributing to defensive transitions. The three most similar players to Aschraf El Mahdioui by playing style are:

  • Neil El Aynaoui(87% match)El Aynaoui is the kind of midfielder Serie A clubs build defensive structures around without the wider world quite noticing yet. Operating in one of Europe's most tactically demanding leagues, his interception rate places him in the top 5% among midfielders—meaning he's not just pressing hard, he's pressing intelligently, anticipating rather than reacting. That press intensity, also top 10% in the league, compounds the picture: this is a player who suffocates opponents through positional discipline, not raw aggression.
  • Samir El Mourabet(85% match)A Ball-Winner. Statistically, he stands out as naturally left-footed, a capable chance creator (1.4 key passes/90), an aggressive ball-winner (3.9 tackles/90), meticulous in distribution (90% pass accuracy), wins the physical battle (66% duel success), wins the ball cleanly (2.1 successful tackles/90), heavily involved in play (69 touches/90), active off the ball (2.4 press score/90), contributing to defensive transitions and top 10% tackler in the league. Note: this profile is based on 461 minutes of playing time this season.
  • Beni Mukendi(85% match)A Box-to-Box. Statistically, he stands out as active in the tackle (1.9 tackles/90), meticulous in distribution (89% pass accuracy), wins the physical battle (62% duel success), heavily involved in play (64 touches/90), draws fouls effectively (2.2/90) and a high-intensity presser (press score 3.1/90), constantly disrupting opposition build-up.

Transfer Intelligence

Neil El Aynaoui delivers 87% of the same playing style, at a 733% premium over Aschraf El Mahdioui, with 0.76 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 →

A
Comparison Base
Aschraf El Mahdioui
MidfielderNetherlands€2.4M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
N
Neil El Aynaoui
Roma · Serie A
France24yContract 2030
KP/900.76
G/900.13
Last 5: → Stable
vs Mahdioui: €18M more expensive · 5y younger
87% match
€20.0M
#2
S
Samir El Mourabet
Strasbourg · Ligue 1
France20yContract 2030
KP/900.52
G/900.13
Ball-WinnerDefensive
Last 5: ↓ Dip
vs Mahdioui: €16M more expensive · 9y younger
85% match
€18.0M
#3
B
Beni Mukendi
Vitória Guimarães · Liga Portugal
Angola23yContract 2029
KP/900.50
G/900.04
Box-to-Box
Last 5: → Stable
vs Mahdioui: 6y younger
85% match
€3.0M
#4
R
Ramiz Zerrouki
FC Twente · Eredivisie
Algeria27y
KP/901.56
G/900.11
MetronomeCreative
Last 5: ↑ Hot
84% match
€7.2M
#5
H
Hicham Boudaoui
Nice · Ligue 1
Algeria26yContract 2027
KP/901.00
G/900.14
Box-to-BoxSmall Sample
Last 5: ↓ Dip
85% match
€12.0M
#6
B
Bilal El Khannouss
VfB Stuttgart · Bundesliga
Morocco22yContract 2026
KP/902.11
G/900.70
CreatorCreative
Last 5: → Stable
85% match
€32.0M
#7
L
Lorenzo Bernasconi
Atalanta · Serie A
Italy22yContract 2028
KP/901.25
G/900.00
Creative Playmaker
Last 5: ↑ Hot
84% match
€4.0M
#8
K
Kévin Danois
Auxerre · Ligue 1
France21yContract 2029
KP/901.64
G/900.07
Box-to-BoxCreative
Last 5: ↓ Dip
84% match
€10.0M
#9
Y
Youssef Aït Bennasser
Kayserispor · Super Lig
Morocco29y
KP/900.55
G/900.00
Ball-Winner
Last 5: ↑ Hot
84% match
€3.0M
#10
N
Noah Sadiki
Sunderland · Premier League
Belgium21yContract 2030
KP/900.56
G/900.00
Balanced Midfielder
Last 5: ↑ Hot
83% match
€30.0M
#11
H
Hugo Magnetti
Brest · Ligue 1
France27yContract 2027
KP/900.48
G/900.10
Balanced Midfielder
Last 5: → Stable
83% match
€6.0M
#12
E
Ellyes Skhiri
Eintracht Frankfurt · Bundesliga
Tunisia31yContract 2027
KP/900.38
G/900.00
Ball-WinnerSmall Sample
84% match
€6.0M

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 Aschraf El Mahdioui.

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Frequently Asked Questions

Who are the best alternatives to Aschraf El Mahdioui?
The top alternatives to Aschraf El Mahdioui based on AI DNA playing style analysis include: Neil El Aynaoui, Samir El Mourabet, Beni Mukendi, Ramiz Zerrouki, Hicham Boudaoui. 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 Aschraf El Mahdioui in 2026?
Players with a similar profile to Aschraf El Mahdioui in 2026 include Neil El Aynaoui (€20.0M), Samir El Mourabet (€18.0M), Beni Mukendi (€3.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Aschraf El Mahdioui play and who plays similarly?
Aschraf El Mahdioui plays as a Midfielder. Players with a comparable positional profile include Neil El Aynaoui (France, €20.0M); Samir El Mourabet (France, €18.0M); Beni Mukendi (Angola, €3.0M); Ramiz Zerrouki (Algeria, €7.2M).
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.