RisingTransfers
AI DNA Similarity

Best Alternatives to Sofyan Amrabat

Players most similar to Sofyan Amrabat (Midfielder, €12.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Sofyan Amrabat

  1. 1.Azzedine Ounahi90% DNA match·Girona€10.0M
  2. 2.Aurélien Tchouaméni87% DNA match·Real Madrid€75.0M
  3. 3.Federico Valverde85% DNA match·Real Madrid€120.0M

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

MetronomeSmall Sample

A Metronome. Statistically, he stands out as meticulous in distribution (91% pass accuracy), heavily involved in possession (64 passes/90), central to possession (77 touches/90) and a high-intensity presser (press score 3.3/90), constantly disrupting opposition build-up. Note: this profile is based on 765 minutes of playing time this season. The three most similar players to Sofyan Amrabat by playing style are:

  • Azzedine Ounahi(90% match)A Creator. Statistically, he stands out as an elite creator (1.8 key passes/90), a regular goalscorer (0.23 goals/90), a dynamic dribbler (3.2/90), wins the physical battle (56% duel success), creates high-quality scoring opportunities (0.56 big chances/90), central to possession (70 touches/90), draws fouls effectively (3.6/90), active off the ball (2.2 press score/90), contributing to defensive transitions and top 20% creator in the league. Note: this profile is based on 797 minutes of playing time this season.
  • Aurélien Tchouaméni(87% match)A Metronome. Statistically, he stands out as active in the tackle (2.3 tackles/90), reads the game exceptionally (1.7 interceptions/90), meticulous in distribution (91% pass accuracy), wins the physical battle (69% duel success), heavily involved in possession (69 passes/90), penetrates with forward passing (9.5 final-third passes/90), central to possession (81 touches/90) and active off the ball (2.8 press score/90), contributing to defensive transitions.
  • Federico Valverde(85% match)A Metronome. Statistically, he stands out as a capable chance creator (1.4 key passes/90), a prolific assist provider (0.36 assists/90), meticulous in distribution (91% pass accuracy), wins the physical battle (64% duel success), heavily involved in possession (64 passes/90), penetrates with forward passing (9.6 final-third passes/90), central to possession (78 touches/90) and active off the ball (2.5 press score/90), contributing to defensive transitions.

Transfer Intelligence

Azzedine Ounahi delivers 90% of the same playing style, at 17% lower cost (€10.0M vs €12.0M), with 1.89 key passes per 90 at age 26.

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

S
Comparison Base
Sofyan Amrabat
MidfielderMorocco€12.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
A
Azzedine Ounahi
Girona · La Liga
Morocco26yContract 2030
KP/901.89
G/900.21
CreatorCreative
Last 5: ↑ Hot
vs Amrabat: 3y younger
90% match
€10.0M
#2
A
Aurélien Tchouaméni
Real Madrid · La Liga
France26yContract 2028
KP/900.70
G/900.06
Metronome
Last 5: ↓ Dip
vs Amrabat: €63M more expensive · 3y younger
87% match
€75.0M
#3
F
Federico Valverde
Real Madrid · La Liga
Uruguay27yContract 2029
KP/901.43
G/900.05
Metronome
Last 5: ↓ Dip
vs Amrabat: €108M more expensive · 2y younger
85% match
€120.0M
#4
M
Martín Zubimendi
Arsenal · Premier League
Spain27yContract 2030
KP/900.59
G/900.15
Metronome
Last 5: ↑ Hot
85% match
€80.0M
#5
I
Ibrahim Sangaré
Nottingham Forest · Premier League
Ivory Coast28yContract 2028
KP/900.54
G/900.09
Ball-WinnerDefensive
Last 5: ↑ Hot
85% match
€30.0M
#6
L
Lucien Agoumé
Sevilla · La Liga
France24yContract 2028
KP/900.93
G/900.06
Ball-WinnerDefensive
Last 5: → Stable
85% match
€12.0M
#7
A
Aleix Febas
Elche · La Liga
Spain30yContract 2026
KP/900.61
G/900.08
Metronome
Last 5: → Stable
84% match
€5.0M
#8
D
Djibril Sow
Sevilla · La Liga
Switzerland29yContract 2028
KP/900.99
G/900.14
Box-to-Box
Last 5: → Stable
84% match
€7.5M
#9
R
Remo Freuler
Bologna · Serie A
Switzerland34yContract 2026
KP/900.83
G/900.00
Chance Creator
Last 5: → Stable
85% match
€4.0M
#10
S
Stanislav Lobotka
Napoli · Serie A
Slovakia31yContract 2027
KP/900.54
G/900.06
Last 5: ↓ Dip
85% match
€18.0M
#11
A
André Almeida
Valencia · La Liga
Portugal25yContract 2028
KP/901.33
G/900.00
CreatorSmall Sample
85% match
€9.0M
#12
A
Amadou Haidara
Lens · Ligue 1
Mali28yContract 2029
KP/900.34
G/900.00
Metronome
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 Sofyan Amrabat.

Ask AI about Sofyan Amrabat

Frequently Asked Questions

Who are the best alternatives to Sofyan Amrabat?
The top alternatives to Sofyan Amrabat based on AI DNA playing style analysis include: Azzedine Ounahi, Aurélien Tchouaméni, Federico Valverde, Martín Zubimendi, Ibrahim Sangaré. 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 Sofyan Amrabat in 2026?
Players with a similar profile to Sofyan Amrabat in 2026 include Azzedine Ounahi (€10.0M), Aurélien Tchouaméni (€75.0M), Federico Valverde (€120.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Sofyan Amrabat play and who plays similarly?
Sofyan Amrabat plays as a Midfielder. Players with a comparable positional profile include Azzedine Ounahi (Morocco, €10.0M); Aurélien Tchouaméni (France, €75.0M); Federico Valverde (Uruguay, €120.0M); Martín Zubimendi (Spain, €80.0M).
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.