RisingTransfers
AI DNA Similarity

Best Alternatives to Brendan Chardonnet

Players most similar to Brendan Chardonnet (Defender, €5.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Brendan Chardonnet

  1. 1.Moussa Niakhaté87% DNA match·Olympique Lyonnais€15.0M
  2. 2.Arouna Sangante86% DNA match·Le Havre€8.0M
  3. 3.Youssouf Ndayishimiye 86% DNA match·Nice€8.0M

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

RT

Intelligence Verdict

Aerials WonTop 5%
???Bottom 6%

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 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. The three most similar players to Brendan Chardonnet 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.
  • Arouna Sangante(86% match)A Physical Stopper. Statistically, he stands out as commanding in the air (5.5 clearances/90) and reads the game exceptionally (1.6 interceptions/90). Note: this profile is based on 611 minutes of playing time this season.
  • Youssouf Ndayishimiye (86% match)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).

Transfer Intelligence

Moussa Niakhaté delivers 87% of the same playing style, at a 200% premium over Brendan Chardonnet, 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 →

B
Comparison Base
Brendan Chardonnet
DefenderFrance€5.0M
Full profile →

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: ↑ Hot
vs Chardonnet: €10M more expensive
87% match
€15.0M
#2
A
Arouna Sangante
Le Havre · Ligue 1
Senegal24yContract 2026
Tkl/900.88
KP/900.29
Physical StopperAerial
vs Chardonnet: 7y younger
86% match
€8.0M
#3
Y
Youssouf Ndayishimiye 
Nice · Ligue 1
Burundi27yContract 2027
Tkl/901.95
KP/900.20
Ball-Playing CBBall-Playing
vs Chardonnet: 4y younger
86% match
€8.0M
#4
M
Montassar Talbi
Lorient · Ligue 1
Tunisia27yContract 2027
Tkl/900.70
KP/900.30
Ball-Playing CBAerial
85% match
€7.0M
#5
A
Anthony Rouault
Rennes · Ligue 1
France24yContract 2029
Tkl/901.23
KP/900.00
Ball-Playing CBAerial
86% match
€9.0M
#6
J
Jérémy Jacquet
Rennes · Ligue 1
France20yContract 2029
Tkl/901.14
KP/900.68
Ball-Playing CBBall-Playing
85% match
€20.0M
#7
N
Nathan Ngoy
LOSC Lille · Ligue 1
Belgium22yContract 2029
Tkl/901.21
KP/900.14
Ball-Playing CBAerial
Last 5: ↓ Dip
85% match
€10.0M
#8
C
Clément Akpa
Auxerre · Ligue 1
France24yContract 2028
Tkl/901.45
KP/900.09
Ball-Playing CBAerial
Last 5: ↓ Dip
84% match
€8.0M
#9
A
Antoine Mendy
Nice · Ligue 1
France21yContract 2028
Tkl/903.14
KP/900.00
Ball-Playing CBAerial
Last 5: → Stable
84% match
€4.0M
#10
S
Samson Baidoo
Lens · Ligue 1
Austria22yContract 2030
Tkl/901.98
KP/900.28
Ball-Playing CBAerial
Last 5: → Stable
84% match
€12.0M
#11
I
Ibrahima Konaté
Liverpool · Premier League
France26yContract 2026
Tkl/901.60
KP/900.22
Ball-Playing CBBall-Playing
Last 5: → Stable
84% match
€50.0M
#12
J
Jeff Chabot
VfB Stuttgart · Bundesliga
Germany28yContract 2028
Tkl/901.73
KP/900.27
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
85% match
€15.0M

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 Brendan Chardonnet.

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Frequently Asked Questions

Who are the best alternatives to Brendan Chardonnet?
The top alternatives to Brendan Chardonnet based on AI DNA playing style analysis include: Moussa Niakhaté, Arouna Sangante, Youssouf Ndayishimiye , Montassar Talbi, 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 Brendan Chardonnet in 2026?
Players with a similar profile to Brendan Chardonnet in 2026 include Moussa Niakhaté (€15.0M), Arouna Sangante (€8.0M), Youssouf Ndayishimiye  (€8.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Brendan Chardonnet play and who plays similarly?
Brendan Chardonnet plays as a Defender. Players with a comparable positional profile include Moussa Niakhaté (Senegal, €15.0M); Arouna Sangante (Senegal, €8.0M); Youssouf Ndayishimiye  (Burundi, €8.0M); Montassar Talbi (Tunisia, €7.0M).
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.