RisingTransfers
AI DNA Similarity

Best Alternatives to Jordan Lefort

Players most similar to Jordan Lefort (Defender, €1.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Jordan Lefort

  1. 1.Antoine Mendy84% DNA match·Nice€4.0M
  2. 2.Facundo Medina85% DNA match·Olympique Marseille€18.0M
  3. 3.Jonathan Gradit85% DNA match·Lens€3.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%

A Ball-Playing CB....

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Playing Style Analysis

Ball-Playing CBBall-PlayingAerial

A Ball-Playing CB. Statistically, he stands out as active in the tackle (1.8 tackles/90), commanding in the air (5.0 clearances/90), reads the game exceptionally (1.6 interceptions/90), meticulous in distribution (86% pass accuracy), wins the physical battle (68% duel success), central to possession (71 touches/90), uses long balls frequently (7.0/90) and active off the ball (2.6 press score/90), contributing to defensive transitions. The three most similar players to Jordan Lefort by playing style are:

  • Antoine Mendy(84% match)A Ball-Playing CB. Statistically, he stands out as an aggressive ball-winner (3.3 tackles/90), commanding in the air (7.3 clearances/90), meticulous in distribution (85% pass accuracy), wins the physical battle (66% duel success), wins the ball cleanly (2.4 successful tackles/90), dominant in the air (3.3 aerials won/90, 76%), active off the ball (2.2 press score/90), contributing to defensive transitions and top 10% tackler in the league. Note: this profile is based on 630 minutes of playing time this season.
  • Facundo Medina(85% match)A Ball-Playing CB. Statistically, he stands out as naturally left-footed, reads the game exceptionally (2.1 interceptions/90), meticulous in distribution (94% pass accuracy), heavily involved in possession (77 passes/90), penetrates with forward passing (10.8 final-third passes/90), central to possession (91 touches/90) and active off the ball (2.8 press score/90), contributing to defensive transitions. Note: this profile is based on 467 minutes of playing time this season.
  • Jonathan Gradit(85% match)A Ball-Playing CB. Statistically, he stands out as active in the tackle (1.9 tackles/90), commanding in the air (5.7 clearances/90), reads the game exceptionally (1.8 interceptions/90), meticulous in distribution (92% pass accuracy), wins the physical battle (57% duel success) and active off the ball (2.4 press score/90), contributing to defensive transitions. Note: this profile is based on 809 minutes of playing time this season.

Transfer Intelligence

Antoine Mendy delivers 84% of the same playing style, at a 300% premium over Jordan Lefort, with 3.14 tackles won per 90 at age 21.

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

J
Comparison Base
Jordan Lefort
DefenderFrance€1.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
A
Antoine Mendy
Nice · Ligue 1
France21yContract 2028
Tkl/903.14
KP/900.00
Ball-Playing CBAerial
Last 5: → Stable
vs Lefort: 11y younger
84% match
€4.0M
#2
F
Facundo Medina
Olympique Marseille · Ligue 1
Argentina26yContract 2026
Tkl/901.54
KP/900.58
Ball-Playing CBBall-Playing
vs Lefort: €17M more expensive · 6y younger
85% match
€18.0M
#3
J
Jonathan Gradit
Lens · Ligue 1
France33yContract 2028
Tkl/902.66
KP/900.00
Ball-Playing CBAerial
85% match
€3.0M
#4
M
Moussa Niakhaté
Olympique Lyonnais · Ligue 1
Senegal30yContract 2028
Tkl/900.85
KP/900.36
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
84% match
€15.0M
#5
T
Terry Yegbe
Metz · Ligue 1
Ghana25yContract 2029
Tkl/900.82
KP/900.27
Ball-Playing CBAerial
Last 5: → Stable
84% match
€3.0M
#6
C
Clément Akpa
Auxerre · Ligue 1
France24yContract 2028
Tkl/901.45
KP/900.09
Ball-Playing CBAerial
Last 5: ↓ Dip
84% match
€8.0M
#7
C
Clinton Mata
Olympique Lyonnais · Ligue 1
Angola33yContract 2026
Tkl/901.29
KP/900.09
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
84% match
€3.0M
#8
S
Sinaly Diomandé
Auxerre · Ligue 1
Ivory Coast25yContract 2027
Tkl/901.34
KP/900.22
Ball-Playing CBAerial
Last 5: → Stable
85% match
€4.0M
#9
B
Brendan Chardonnet
Brest · Ligue 1
France31yContract 2027
Tkl/900.97
KP/900.32
Ball-Playing CBAerial
83% match
€5.0M
#10
A
Arsène Kouassi
Lorient · Ligue 1
Burkina Faso21yContract 2029
Tkl/900.74
KP/901.27
Active Full-BackSmall Sample
83% match
€7.0M
#11
M
Montassar Talbi
Lorient · Ligue 1
Tunisia27yContract 2027
Tkl/900.70
KP/900.30
Ball-Playing CBAerial
83% match
€7.0M
#12
C
Chidozie Awaziem
Nantes · Ligue 1
Nigeria29yContract 2028
Tkl/901.60
KP/900.20
Ball-Playing CBAerial
83% match
€3.0M

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 Jordan Lefort.

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Frequently Asked Questions

Who are the best alternatives to Jordan Lefort?
The top alternatives to Jordan Lefort based on AI DNA playing style analysis include: Antoine Mendy, Facundo Medina, Jonathan Gradit, Moussa Niakhaté, Terry Yegbe. 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 Jordan Lefort in 2026?
Players with a similar profile to Jordan Lefort in 2026 include Antoine Mendy (€4.0M), Facundo Medina (€18.0M), Jonathan Gradit (€3.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Jordan Lefort play and who plays similarly?
Jordan Lefort plays as a Defender. Players with a comparable positional profile include Antoine Mendy (France, €4.0M); Facundo Medina (Argentina, €18.0M); Jonathan Gradit (France, €3.0M); Moussa Niakhaté (Senegal, €15.0M).
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.