AI DNA Similarity
Best Alternatives to Youssouf Ndayishimiye
Players most similar to Youssouf Ndayishimiye (Defender, €8.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Youssouf Ndayishimiye
- 1.Moussa Niakhaté86% DNA match·Olympique Lyonnais€15.0M
- 2.Nathan Ngoy86% DNA match·LOSC Lille€10.0M
- 3.Abdelhamid Ait Boudlal86% DNA match·Rennes€10.0M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
GoalsTop 14%
“A Ball-Playing CB....”
See Full Verdict + Share Card →Playing Style Analysis
Ball-Playing CBBall-PlayingAerial
A Ball-Playing CB. Statistically, he stands out as active in the tackle (1.9 tackles/90), commanding in the air (5.3 clearances/90), meticulous in distribution (90% pass accuracy), wins the physical battle (61% duel success), heavily involved in possession (61 passes/90) and central to possession (75 touches/90). The three most similar players to Youssouf Ndayishimiye by playing style are:
- Moussa Niakhaté(86% match) — A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (6.4 clearances/90), meticulous in distribution (91% pass accuracy), wins the physical battle (70% duel success), penetrates with forward passing (9.0 final-third passes/90), central to possession (75 touches/90), dominant in the air (3.6 aerials won/90, 71%) and active off the ball (2.2 press score/90), contributing to defensive transitions. Note: this profile is based on 733 minutes of playing time this season.
- Nathan Ngoy(86% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (4.3 clearances/90), meticulous in distribution (90% pass accuracy), uses long balls frequently (6.2/90) and active off the ball (2.1 press score/90), contributing to defensive transitions. Note: this profile is based on 668 minutes of playing time this season.
- Abdelhamid Ait Boudlal(86% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.3 clearances/90), meticulous in distribution (88% pass accuracy), wins the physical battle (55% duel success), switches play with precision (5.5 long balls/90, 63% accuracy) and active off the ball (2.1 press score/90), contributing to defensive transitions. Note: this profile is based on 510 minutes of playing time this season.
Transfer Intelligence
Moussa Niakhaté delivers 86% of the same playing style, at a 87% premium over Youssouf Ndayishimiye , with 0.85 tackles won per 90 at age 30.
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
Moussa Niakhaté
Olympique Lyonnais · Ligue 1
Senegal30yContract 2028
Tkl/900.85
KP/900.36
Ball-Playing CBBall-Playing
Last 5: ↑ Hotvs Ndayishimiye : €7M more expensive · 3y older
86% match
€15.0M
#2
N
Nathan Ngoy
LOSC Lille · Ligue 1
Belgium22yContract 2029
Tkl/901.21
KP/900.14
Ball-Playing CBAerial
Last 5: ↓ Dipvs Ndayishimiye : 5y younger
86% match
€10.0M
#3
A
Abdelhamid Ait Boudlal
Rennes · Ligue 1
Morocco20yContract 2028
Tkl/901.76
KP/900.00
Ball-Playing CBAerial
Last 5: → Stablevs Ndayishimiye : 7y younger
86% match
€10.0M
#4
B
Brendan Chardonnet
Brest · Ligue 1
France31yContract 2027
Tkl/900.97
KP/900.32
Ball-Playing CBAerial
86% match
€5.0M
#5
D
Danilho Doekhi
FC Union Berlin · Bundesliga
Netherlands27yContract 2026
Tkl/901.00
KP/900.29
Physical StopperAerial
85% match
€13.0M
#6
A
Abdoulaye Ndiaye
Parma · Serie A
Senegal24yContract 2029
Tkl/902.24
KP/900.00
Ball-Playing CBAerial
86% match
€6.5M
#7
C
Clément Akpa
Auxerre · Ligue 1
France24yContract 2028
Tkl/901.45
KP/900.09
Ball-Playing CBAerial
Last 5: ↓ Dip85% match
€8.0M
#8
S
Samson Baidoo
Lens · Ligue 1
Austria22yContract 2030
Tkl/901.98
KP/900.28
Ball-Playing CBAerial
Last 5: → Stable85% match
€12.0M
#9
A
Antoine Mendy
Nice · Ligue 1
France21yContract 2028
Tkl/903.14
KP/900.00
Ball-Playing CBAerial
Last 5: → Stable84% match
€4.0M
#10
E
Evan Ndicka
Roma · Serie A
France26yContract 2028
Tkl/900.85
KP/900.18
Ball-Playing CBBall-Playing
Last 5: → Stable84% match
€30.0M
#11
S
Soumaïla Coulibaly
Brest · Ligue 1
France22yContract 2026
Tkl/900.86
KP/900.34
Ball-Playing CBAerial
84% match
€7.0M
#12
M
Malick Thiaw
Newcastle United · Premier League
Germany24yContract 2029
Tkl/901.29
KP/900.19
Ball-Playing CBAerial
Last 5: ↑ Hot84% match
€45.0M
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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 Youssouf Ndayishimiye .
Ask AI about Youssouf Ndayishimiye →Frequently Asked Questions
Who are the best alternatives to Youssouf Ndayishimiye ?▼
The top alternatives to Youssouf Ndayishimiye based on AI DNA playing style analysis include: Moussa Niakhaté, Nathan Ngoy, Abdelhamid Ait Boudlal, Brendan Chardonnet, Danilho Doekhi. 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 Youssouf Ndayishimiye in 2026?▼
Players with a similar profile to Youssouf Ndayishimiye in 2026 include Moussa Niakhaté (€15.0M), Nathan Ngoy (€10.0M), Abdelhamid Ait Boudlal (€10.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Youssouf Ndayishimiye play and who plays similarly?▼
Youssouf Ndayishimiye plays as a Defender. Players with a comparable positional profile include Moussa Niakhaté (Senegal, €15.0M); Nathan Ngoy (Belgium, €10.0M); Abdelhamid Ait Boudlal (Morocco, €10.0M); Brendan Chardonnet (France, €5.0M).
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.