RisingTransfers
AI DNA Similarity

Best Alternatives to Djibril Sow

Players most similar to Djibril Sow (Midfielder, €7.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Djibril Sow

  1. 1.Corentin Tolisso85% DNA match·Olympique Lyonnais€12.0M
  2. 2.Aurélien Tchouaméni84% DNA match·Real Madrid€75.0M
  3. 3.Dominik Szoboszlai84% DNA match·Liverpool€100.0M

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

RT

Intelligence Verdict

Dribbled PastTop 11%
???Bottom 14%

A Box-to-Box....

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Playing Style Analysis

Box-to-Box

A Box-to-Box. Statistically, he stands out as active in the tackle (2.1 tackles/90), meticulous in distribution (89% pass accuracy) and heavily involved in play (51 touches/90). The three most similar players to Djibril Sow by playing style are:

  • Corentin Tolisso(85% match)A Creator. Statistically, he stands out as an elite creator (1.9 key passes/90), a proven goalscorer (0.55 goals/90), a prolific assist provider (0.41 assists/90), creates high-quality scoring opportunities (0.55 big chances/90), heavily involved in play (66 touches/90), draws fouls effectively (2.2/90) and top 20% creator in the league. Note: this profile is based on 659 minutes of playing time this season.
  • Aurélien Tchouaméni(84% 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.
  • Dominik Szoboszlai(84% match)A Creator. Statistically, he stands out as an elite creator (2.0 key passes/90), a reliable supplier (0.15 assists/90), meticulous in distribution (88% pass accuracy), heavily involved in possession (62 passes/90), penetrates with forward passing (8.4 final-third passes/90), central to possession (84 touches/90), switches play with precision (5.9 long balls/90, 64% accuracy), active off the ball (2.7 press score/90), contributing to defensive transitions and top 10% creator in the league.

Transfer Intelligence

Corentin Tolisso delivers 85% of the same playing style, at a 60% premium over Djibril Sow, with 1.91 key passes per 90 at age 31.

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

D
Comparison Base
Djibril Sow
MidfielderSwitzerland€7.5M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
C
Corentin Tolisso
Olympique Lyonnais · Ligue 1
France31yContract 2027
KP/901.91
G/900.55
CreatorCreative
Last 5: ↓ Dip
vs Sow: 2y older
85% match
€12.0M
#2
A
Aurélien Tchouaméni
Real Madrid · La Liga
France26yContract 2028
KP/900.70
G/900.06
Metronome
Last 5: ↓ Dip
vs Sow: €68M more expensive · 3y younger
84% match
€75.0M
#3
D
Dominik Szoboszlai
Liverpool · Premier League
Hungary25yContract 2028
KP/902.00
G/900.18
CreatorCreative
Last 5: → Stable
vs Sow: €93M more expensive · 4y younger
84% match
€100.0M
#4
E
Elisha Owusu
Auxerre · Ligue 1
Ghana28yContract 2027
KP/900.20
G/900.00
Ball-WinnerDefensive
Last 5: ↓ Dip
85% match
€3.5M
#5
B
Batista Mendy
Sevilla · La Liga
France26yContract 2026
KP/900.49
G/900.00
Box-to-Box
Last 5: ↓ Dip
84% match
€10.0M
#6
S
Sofyan Amrabat
Real Betis · La Liga
Morocco29yContract 2026
KP/900.59
G/900.00
MetronomeSmall Sample
Last 5: ↓ Dip
84% match
€12.0M
#7
L
Lucien Agoumé
Sevilla · La Liga
France24yContract 2028
KP/900.93
G/900.06
Ball-WinnerDefensive
Last 5: → Stable
84% match
€12.0M
#8
P
Pepelu
Valencia · La Liga
Spain27yContract 2028
KP/900.88
G/900.10
Ball-WinnerDefensive
Last 5: ↓ Dip
83% match
€9.0M
#9
H
Han-Noah Massengo
FC Augsburg · Bundesliga
France24yContract 2030
KP/900.69
G/900.00
Box-to-BoxSmall Sample
84% match
€5.0M
#10
S
Simon Sohm
Bologna · Serie A
Switzerland25yContract 2030
KP/900.64
G/900.00
Box-to-BoxSmall Sample
Last 5: ↑ Hot
84% match
€8.0M
#11
I
Ismaël Koné
Sassuolo · Serie A
Canada23yContract 2030
KP/900.68
G/900.34
Box-to-BoxSmall Sample
Last 5: ↓ Dip
83% match
€14.0M
#12
E
Ezequiel Fernández
Bayer 04 Leverkusen · Bundesliga
Argentina23yContract 2030
KP/901.03
G/900.00
Ball-WinnerDefensive
Last 5: ↓ Dip
84% match
€25.0M

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 Djibril Sow.

Ask AI about Djibril Sow

Frequently Asked Questions

Who are the best alternatives to Djibril Sow?
The top alternatives to Djibril Sow based on AI DNA playing style analysis include: Corentin Tolisso, Aurélien Tchouaméni, Dominik Szoboszlai, Elisha Owusu, Batista Mendy. 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 Djibril Sow in 2026?
Players with a similar profile to Djibril Sow in 2026 include Corentin Tolisso (€12.0M), Aurélien Tchouaméni (€75.0M), Dominik Szoboszlai (€100.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Djibril Sow play and who plays similarly?
Djibril Sow plays as a Midfielder. Players with a comparable positional profile include Corentin Tolisso (France, €12.0M); Aurélien Tchouaméni (France, €75.0M); Dominik Szoboszlai (Hungary, €100.0M); Elisha Owusu (Ghana, €3.5M).
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.