AI DNA Similarity
Best Alternatives to Rasmus Nicolaisen
Players most similar to Rasmus Nicolaisen (Defender, €5.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Rasmus Nicolaisen
- 1.Moussa Niakhaté87% DNA match·Olympique Lyonnais€15.0M
- 2.Brendan Chardonnet84% DNA match·Brest€5.0M
- 3.Ibrahima Konaté84% DNA match·Liverpool€50.0M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
Chances MissedTop 0%
???Bottom 0%
“A Ball-Playing CB....”
See Full Verdict + Share Card →Playing Style Analysis
Ball-Playing CBAerialSmall Sample
A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (5.1 clearances/90), meticulous in distribution (89% pass accuracy) and wins the physical battle (74% duel success). Note: this profile is based on 893 minutes of playing time this season. The three most similar players to Rasmus Nicolaisen by playing style are:
- Moussa Niakhaté(87% 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.
- Brendan Chardonnet(84% match) — A Ball-Playing CB. Statistically, he stands out as a reliable supplier (0.21 assists/90), commanding in the air (6.1 clearances/90), meticulous in distribution (85% pass accuracy), wins the physical battle (56% duel success), blocks shots courageously (1.8 blocks/90) and uses long balls frequently (7.4/90). Note: this profile is based on 838 minutes of playing time this season.
- Ibrahima Konaté(84% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.6 clearances/90), meticulous in distribution (90% pass accuracy), wins the physical battle (68% duel success), heavily involved in possession (63 passes/90), central to possession (77 touches/90) and dominant in the air (3.6 aerials won/90, 67%).
Transfer Intelligence
Moussa Niakhaté delivers 87% of the same playing style, at a 200% premium over Rasmus Nicolaisen, 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 Nicolaisen: €10M more expensive
87% match
€15.0M
#2
B
Brendan Chardonnet
Brest · Ligue 1
France31yContract 2027
Tkl/900.97
KP/900.32
Ball-Playing CBAerial
vs Nicolaisen: 2y older
84% match
€5.0M
#3
I
Ibrahima Konaté
Liverpool · Premier League
France26yContract 2026
Tkl/901.60
KP/900.22
Ball-Playing CBBall-Playing
Last 5: → Stablevs Nicolaisen: €45M more expensive · 3y younger
84% match
€50.0M
#4
C
Clément Akpa
Auxerre · Ligue 1
France24yContract 2028
Tkl/901.45
KP/900.09
Ball-Playing CBAerial
Last 5: ↓ Dip84% match
€8.0M
#5
A
Anthony Rouault
Rennes · Ligue 1
France24yContract 2029
Tkl/901.23
KP/900.00
Ball-Playing CBAerial
85% match
€9.0M
#6
D
Danilho Doekhi
FC Union Berlin · Bundesliga
Netherlands27yContract 2026
Tkl/901.00
KP/900.29
Physical StopperAerial
84% match
€13.0M
#7
J
Jean-Clair Todibo
West Ham United · Premier League
France26y
Tkl/901.91
KP/900.25
Ball-Playing CBAerial
Last 5: ↓ Dip84% match
€23.0M
#8
M
Malick Thiaw
Newcastle United · Premier League
Germany24yContract 2029
Tkl/901.29
KP/900.19
Ball-Playing CBAerial
Last 5: ↑ Hot84% match
€45.0M
#9
K
Kevin Danso
Tottenham Hotspur · Premier League
Austria27yContract 2030
Tkl/901.84
KP/900.20
Ball-Playing CBBall-Playing
Last 5: → Stable84% match
€22.0M
#10
J
Jaka Bijol
Leeds United · Premier League
Slovenia27yContract 2030
Tkl/901.30
KP/900.36
Ball-Playing CBAerial
Last 5: ↓ Dip83% match
€18.0M
#11
N
Nathan Ngoy
LOSC Lille · Ligue 1
Belgium22yContract 2029
Tkl/901.21
KP/900.14
Ball-Playing CBAerial
Last 5: ↓ Dip84% match
€10.0M
#12
L
Lilian Brassier
Rennes · Ligue 1
France26yContract 2029
Tkl/901.14
KP/901.01
Ball-Playing CBBall-Playing
84% match
€12.0M
⬡
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 Rasmus Nicolaisen.
Ask AI about Rasmus Nicolaisen →Frequently Asked Questions
Who are the best alternatives to Rasmus Nicolaisen?▼
The top alternatives to Rasmus Nicolaisen based on AI DNA playing style analysis include: Moussa Niakhaté, Brendan Chardonnet, Ibrahima Konaté, Clément Akpa, Anthony Rouault. 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 Rasmus Nicolaisen in 2026?▼
Players with a similar profile to Rasmus Nicolaisen in 2026 include Moussa Niakhaté (€15.0M), Brendan Chardonnet (€5.0M), Ibrahima Konaté (€50.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Rasmus Nicolaisen play and who plays similarly?▼
Rasmus Nicolaisen plays as a Defender. Players with a comparable positional profile include Moussa Niakhaté (Senegal, €15.0M); Brendan Chardonnet (France, €5.0M); Ibrahima Konaté (France, €50.0M); Clément Akpa (France, €8.0M).
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.