RisingTransfers
AI DNA Similarity

Best Alternatives to Soungoutou Magassa

Players most similar to Soungoutou Magassa (Midfielder, €17.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Soungoutou Magassa

  1. 1.Dário Essugo86% DNA match·Chelsea€20.0M
  2. 2.Mamadou Sangaré86% DNA match·Lens€15.0M
  3. 3.Hugo Magnetti85% DNA match·Brest€6.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 17%

A Ball-Winner....

See Full Verdict + Share Card →

Playing Style Analysis

Ball-WinnerDefensive

A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (3.8 tackles/90), reads the game exceptionally (1.6 interceptions/90), wins the physical battle (59% duel success), wins the ball cleanly (2.0 successful tackles/90), heavily involved in play (55 touches/90), a high-intensity presser (press score 3.0/90), constantly disrupting opposition build-up and top 10% tackler in the league. The three most similar players to Soungoutou Magassa by playing style are:

  • Dário Essugo(86% match)A Box-to-Box. Statistically, he stands out as an aggressive ball-winner (2.7 tackles/90), reads the game exceptionally (1.9 interceptions/90), meticulous in distribution (86% pass accuracy), heavily involved in play (60 touches/90) and active off the ball (2.1 press score/90), contributing to defensive transitions.
  • Mamadou Sangaré(86% match)A Creator. Statistically, he stands out as naturally left-footed, an elite creator (2.2 key passes/90), a reliable supplier (0.19 assists/90), an aggressive ball-winner (4.1 tackles/90), reads the game exceptionally (2.6 interceptions/90), meticulous in distribution (86% pass accuracy), wins the physical battle (59% duel success), heavily involved in possession (61 passes/90), penetrates with forward passing (9.2 final-third passes/90), wins the ball cleanly (2.6 successful tackles/90), central to possession (81 touches/90), switches play with precision (8.0 long balls/90, 81% accuracy), a high-intensity presser (press score 4.8/90), constantly disrupting opposition build-up, top 10% creator in the league and top 10% tackler in the league. Note: this profile is based on 482 minutes of playing time this season.
  • Hugo Magnetti(85% match)A Balanced Midfielder. Statistically, he stands out as active in the tackle (2.4 tackles/90), reads the game exceptionally (1.5 interceptions/90), meticulous in distribution (87% pass accuracy), heavily involved in play (53 touches/90) and a high-intensity presser (press score 3.2/90), constantly disrupting opposition build-up.

Transfer Intelligence

Dário Essugo delivers 86% of the same playing style, at a 18% premium over Soungoutou Magassa, with 0.65 key passes per 90 at age 21.

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

S
Comparison Base
Soungoutou Magassa
MidfielderFrance€17.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
D
Dário Essugo
Chelsea · Premier League
Portugal21yContract 2033
KP/900.65
G/900.05
Box-to-BoxDefensive
Last 5: ↑ Hot
86% match
€20.0M
#2
M
Mamadou Sangaré
Lens · Ligue 1
Mali23yContract 2030
KP/902.24
G/900.00
CreatorCreative
Last 5: → Stable
86% match
€15.0M
#3
H
Hugo Magnetti
Brest · Ligue 1
France27yContract 2027
KP/900.48
G/900.10
Balanced Midfielder
Last 5: → Stable
vs Magassa: €11M cheaper · 5y older
85% match
€6.0M
#4
A
Antoni Milambo
Brentford · Premier League
Netherlands21yContract 2030
KP/901.22
G/900.14
Creator
85% match
€20.0M
#5
I
Ibrahim Sangaré
Nottingham Forest · Premier League
Ivory Coast28yContract 2028
KP/900.54
G/900.09
Ball-WinnerDefensive
Last 5: ↑ Hot
86% match
€30.0M
#6
H
Han-Noah Massengo
FC Augsburg · Bundesliga
France24yContract 2030
KP/900.69
G/900.00
Box-to-BoxSmall Sample
85% match
€5.0M
#7
C
Carlos Baleba
Brighton & Hove Albion · Premier League
Cameroon22yContract 2028
KP/900.35
G/900.00
Box-to-Box
Last 5: ↑ Hot
85% match
€60.0M
#8
T
Tim Iroegbunam
Everton · Premier League
England22yContract 2027
KP/900.47
G/900.00
Ball-WinnerDefensive
Last 5: → Stable
85% match
€12.0M
#9
N
Noah Sadiki
Sunderland · Premier League
Belgium21yContract 2030
KP/900.56
G/900.00
Balanced Midfielder
Last 5: ↑ Hot
84% match
€30.0M
#10
E
Enzo Le Fée
Sunderland · Premier League
France26yContract 2029
KP/901.57
G/900.13
CreatorCreative
Last 5: ↑ Hot
84% match
€25.0M
#11
M
Mahdi Camara
Rennes · Ligue 1
France27yContract 2029
KP/900.97
G/900.00
Box-to-Box
Last 5: ↓ Dip
84% match
€10.0M
#12
O
Orel Mangala
Olympique Lyonnais · Ligue 1
Belgium28yContract 2028
KP/901.05
G/900.00
Ball-Winner
Last 5: ↓ Dip
83% match
€10.0M

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 Soungoutou Magassa.

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Frequently Asked Questions

Who are the best alternatives to Soungoutou Magassa?
The top alternatives to Soungoutou Magassa based on AI DNA playing style analysis include: Dário Essugo, Mamadou Sangaré, Hugo Magnetti, Antoni Milambo, 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 Soungoutou Magassa in 2026?
Players with a similar profile to Soungoutou Magassa in 2026 include Dário Essugo (€20.0M), Mamadou Sangaré (€15.0M), Hugo Magnetti (€6.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Soungoutou Magassa play and who plays similarly?
Soungoutou Magassa plays as a Midfielder. Players with a comparable positional profile include Dário Essugo (Portugal, €20.0M); Mamadou Sangaré (Mali, €15.0M); Hugo Magnetti (France, €6.0M); 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.