AI DNA Similarity
Best Alternatives to Ibrahim Sangaré
Players most similar to Ibrahim Sangaré (Midfielder, €30.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Ibrahim Sangaré
- 1.Mamadou Sangaré96% DNA match·Lens€15.0M
- 2.Pape Matar Sarr88% DNA match·Tottenham Hotspur€32.0M
- 3.Cheick Doucouré87% DNA match·Crystal Palace€13.0M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
Aerials WonTop 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 (2.6 tackles/90), meticulous in distribution (87% pass accuracy), heavily involved in play (55 touches/90) and active off the ball (2.5 press score/90), contributing to defensive transitions. The three most similar players to Ibrahim Sangaré by playing style are:
- Mamadou Sangaré(96% 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.
- Pape Matar Sarr(88% match) — A Box-to-Box. Statistically, he stands out as a reliable supplier (0.20 assists/90), active in the tackle (2.3 tackles/90), meticulous in distribution (85% pass accuracy), heavily involved in play (59 touches/90) and active off the ball (2.7 press score/90), contributing to defensive transitions.
- Cheick Doucouré(87% match) — A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (3.1 tackles/90), reads the game exceptionally (2.2 interceptions/90), meticulous in distribution (86% pass accuracy), wins the physical battle (60% duel success), heavily involved in play (56 touches/90) and a high-intensity presser (press score 3.7/90), constantly disrupting opposition build-up. Note: this profile is based on 459 minutes of playing time this season.
Transfer Intelligence
Mamadou Sangaré delivers 96% of the same playing style, at 50% lower cost (€15.0M vs €30.0M), with 2.24 key passes per 90 at age 23.
Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →
Similar Players — Ranked by DNA Similarity
#1
M
Mamadou Sangaré
Lens · Ligue 1
Mali23yContract 2030
KP/902.24
G/900.00
CreatorCreative
Last 5: → Stablevs Sangaré: €15M cheaper · 5y younger
96% match
€15.0M
#2
P
Pape Matar Sarr
Tottenham Hotspur · Premier League
Senegal23yContract 2030
KP/900.53
G/900.13
Box-to-Box
Last 5: ↑ Hotvs Sangaré: 5y younger
88% match
€32.0M
#3
C
Cheick Doucouré
Crystal Palace · Premier League
Mali26yContract 2029
KP/900.20
G/900.00
Ball-WinnerDefensive
vs Sangaré: €17M cheaper · 2y younger
87% match
€13.0M
#4
O
Orel Mangala
Olympique Lyonnais · Ligue 1
Belgium28yContract 2028
KP/901.05
G/900.00
Ball-Winner
Last 5: ↓ Dip86% match
€10.0M
#5
S
Sander Berge
Fulham · Premier League
Norway28yContract 2029
KP/900.58
G/900.00
Box-to-Box
Last 5: ↑ Hot86% match
€25.0M
#6
D
Dário Essugo
Chelsea · Premier League
Portugal21yContract 2033
KP/900.65
G/900.05
Box-to-BoxDefensive
Last 5: ↑ Hot86% match
€20.0M
#7
I
Ismaël Koné
Sassuolo · Serie A
Canada23yContract 2030
KP/900.68
G/900.34
Box-to-BoxSmall Sample
Last 5: ↓ Dip86% match
€14.0M
#8
L
Lamine Camara
Monaco · Ligue 1
Senegal22yContract 2029
KP/901.40
G/900.00
MetronomeCreative
Last 5: → Stable86% match
€35.0M
#9
M
Manu Koné
Roma · Serie A
France24yContract 2029
KP/900.99
G/900.11
Box-to-Box
Last 5: → Stable86% match
€50.0M
#10
A
Amadou Onana
Aston Villa · Premier League
Belgium24yContract 2029
KP/900.36
G/900.10
Box-to-Box
Last 5: ↑ Hot86% match
€42.0M
#11
A
Antoni Milambo
Brentford · Premier League
Netherlands21yContract 2030
KP/901.22
G/900.14
Creator
85% match
€20.0M
#12
N
Noah Sadiki
Sunderland · Premier League
Belgium21yContract 2030
KP/900.56
G/900.00
Balanced Midfielder
Last 5: ↑ Hot85% match
€30.0M
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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 Ibrahim Sangaré.
Ask AI about Ibrahim Sangaré →Frequently Asked Questions
Who are the best alternatives to Ibrahim Sangaré?▼
The top alternatives to Ibrahim Sangaré based on AI DNA playing style analysis include: Mamadou Sangaré, Pape Matar Sarr, Cheick Doucouré, Orel Mangala, Sander Berge. 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 Ibrahim Sangaré in 2026?▼
Players with a similar profile to Ibrahim Sangaré in 2026 include Mamadou Sangaré (€15.0M), Pape Matar Sarr (€32.0M), Cheick Doucouré (€13.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Ibrahim Sangaré play and who plays similarly?▼
Ibrahim Sangaré plays as a Midfielder. Players with a comparable positional profile include Mamadou Sangaré (Mali, €15.0M); Pape Matar Sarr (Senegal, €32.0M); Cheick Doucouré (Mali, €13.0M); Orel Mangala (Belgium, €10.0M).
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.