RisingTransfers
AI DNA Similarity

Best Alternatives to Jean-Kévin Duverne

Players most similar to Jean-Kévin Duverne (Defender, €2.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Jean-Kévin Duverne

  1. 1.Jozhua Vertrouwd85% DNA match·Rayo Vallecano€3.0M
  2. 2.Calvin Verdonk85% DNA match·LOSC Lille€3.0M
  3. 3.Willy Kambwala83% DNA match·Villarreal€4.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 11%

Duverne is a paradox of high-volume progressive distribution and aerial dominance trapped within a...

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Playing Style Analysis

Aerial Defender

Duverne is a paradox of high-volume progressive distribution and aerial dominance trapped within a Tier C side’s erratic defensive structure. While his 75.9% pass accuracy suggests a lack of composure, the data reveals a player tasked with doing the heavy lifting; ranking in the top 30% for passes into the final third (7.60/90) proves he is a risk-taker, not just a wayward technician. This aggressiveness translates to his defensive duties where he thrives in the air, winning 66.7% of his duels to sit comfortably in the league's top quintile. The three most similar players to Jean-Kévin Duverne by playing style are:

  • Jozhua Vertrouwd(85% match)A Ball-Playing CB. Statistically, he stands out as active in the tackle (1.8 tackles/90), meticulous in distribution (91% pass accuracy), heavily involved in possession (63 passes/90), central to possession (75 touches/90) and active off the ball (2.0 press score/90), contributing to defensive transitions. Note: this profile is based on 498 minutes of playing time this season.
  • Calvin Verdonk(85% match)A Active Full-Back. Statistically, he stands out as naturally left-footed, a capable chance creator (1.1 key passes/90), active in the tackle (1.9 tackles/90), reads the game exceptionally (1.9 interceptions/90), wins the physical battle (64% duel success), heavily involved in possession (62 passes/90), penetrates with forward passing (9.0 final-third passes/90), central to possession (87 touches/90) and a high-intensity presser (press score 3.4/90), constantly disrupting opposition build-up. Note: this profile is based on 578 minutes of playing time this season.
  • Willy Kambwala(83% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (4.3 clearances/90), meticulous in distribution (88% pass accuracy), wins the physical battle (56% duel success) and uses long balls frequently (6.5/90).

Transfer Intelligence

Jozhua Vertrouwd delivers 85% of the same playing style, at a 50% premium over Jean-Kévin Duverne, with 1.81 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 →

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Comparison Base
Jean-Kévin Duverne
DefenderHaiti€2.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
J
Jozhua Vertrouwd
Rayo Vallecano · La Liga
Netherlands21yContract 2026
Tkl/901.81
KP/900.36
Ball-Playing CBBall-Playing
vs Duverne: 7y younger
85% match
€3.0M
#2
C
Calvin Verdonk
LOSC Lille · Ligue 1
Netherlands29yContract 2028
Tkl/903.05
KP/901.22
Active Full-BackBall-Playing
Last 5: ↓ Dip
85% match
€3.0M
#3
W
Willy Kambwala
Villarreal · La Liga
France21yContract 2029
Tkl/901.38
KP/900.09
Ball-Playing CBAerial
vs Duverne: 7y younger
83% match
€4.0M
#4
M
Mohamed Abdelmonem 
Nice · Ligue 1
Egypt27yContract 2028
Tkl/902.11
KP/900.00
Ball-Playing CBAerial
84% match
€3.0M
#5
J
Jorge Herrando
Osasuna · La Liga
Spain25yContract 2027
Tkl/901.61
KP/900.20
Ball-Playing CBAerial
Last 5: ↑ Hot
84% match
€3.5M
#6
T
Terry Yegbe
Metz · Ligue 1
Ghana25yContract 2029
Tkl/900.82
KP/900.27
Ball-Playing CBAerial
Last 5: → Stable
83% match
€3.0M
#7
A
Abakar Sylla
Nantes · Ligue 1
Ivory Coast23yContract 2028
Tkl/902.52
KP/900.11
Ball-Playing CBBall-Playing
84% match
€3.0M
#8
C
Clément Akpa
Auxerre · Ligue 1
France24yContract 2028
Tkl/901.45
KP/900.09
Ball-Playing CBAerial
Last 5: ↓ Dip
83% match
€8.0M
#9
S
Saud Abdulhamid
Lens · Ligue 1
Saudi Arabia26yContract 2026
Tkl/902.08
KP/902.29
Active Full-Back
Last 5: → Stable
84% match
€3.0M
#10
P
Pedro Lima
Wolverhampton Wanderers · Premier League
Brazil19yContract 2029
Tkl/902.49
KP/901.07
Small Sample
Last 5: → Stable
84% match
€4.0M
#11
D
Darlin Yongwa
Lorient · Ligue 1
Cameroon25yContract 2026
Tkl/902.23
KP/901.20
Active Full-Back
84% match
€6.0M
#12
O
Oliver Provstgaard
Lazio · Serie A
Denmark22yContract 2029
Tkl/900.55
KP/900.41
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
83% match
€4.5M

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 Jean-Kévin Duverne.

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Frequently Asked Questions

Who are the best alternatives to Jean-Kévin Duverne?
The top alternatives to Jean-Kévin Duverne based on AI DNA playing style analysis include: Jozhua Vertrouwd, Calvin Verdonk, Willy Kambwala, Mohamed Abdelmonem , Jorge Herrando. 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 Jean-Kévin Duverne in 2026?
Players with a similar profile to Jean-Kévin Duverne in 2026 include Jozhua Vertrouwd (€3.0M), Calvin Verdonk (€3.0M), Willy Kambwala (€4.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Jean-Kévin Duverne play and who plays similarly?
Jean-Kévin Duverne plays as a Defender. Players with a comparable positional profile include Jozhua Vertrouwd (Netherlands, €3.0M); Calvin Verdonk (Netherlands, €3.0M); Willy Kambwala (France, €4.0M); Mohamed Abdelmonem  (Egypt, €3.0M).
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.