RisingTransfers
AI DNA Similarity

Best Alternatives to Benoît Badiashile

Players most similar to Benoît Badiashile (Defender, €18.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Benoît Badiashile

  1. 1.Wesley Fofana89% DNA match·Chelsea€28.0M
  2. 2.Levi Colwill88% DNA match·Chelsea€50.0M
  3. 3.Loïc Badé88% DNA match·Bayer 04 Leverkusen€25.0M

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....

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Playing Style Analysis

Ball-Playing CBBall-PlayingAerialSmall Sample

A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (5.2 clearances/90), reads the game exceptionally (2.1 interceptions/90), meticulous in distribution (93% pass accuracy), heavily involved in possession (84 passes/90), central to possession (95 touches/90), uses long balls frequently (6.5/90) and active off the ball (2.1 press score/90), contributing to defensive transitions. Note: this profile is based on 472 minutes of playing time this season. The three most similar players to Benoît Badiashile by playing style are:

  • Wesley Fofana(89% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (6.8 clearances/90), reads the game exceptionally (1.9 interceptions/90), meticulous in distribution (92% pass accuracy), wins the physical battle (62% duel success), heavily involved in possession (66 passes/90), central to possession (83 touches/90), dominant in the air (3.7 aerials won/90, 64%) and active off the ball (2.5 press score/90), contributing to defensive transitions.
  • Levi Colwill(88% match)A Ball-Playing CB. Statistically, he stands out as naturally left-footed, meticulous in distribution (90% pass accuracy), wins the physical battle (56% duel success), heavily involved in possession (74 passes/90), central to possession (85 touches/90) and uses long balls frequently (5.8/90).
  • Loïc Badé(88% match)A Ball-Playing CB. Statistically, he stands out as active in the tackle (2.2 tackles/90), commanding in the air (5.8 clearances/90), reads the game exceptionally (1.8 interceptions/90), meticulous in distribution (89% pass accuracy), wins the physical battle (63% duel success), heavily involved in possession (70 passes/90), blocks shots courageously (2.0 blocks/90), central to possession (88 touches/90), uses long balls frequently (6.6/90) and a high-intensity presser (press score 3.0/90), constantly disrupting opposition build-up. Note: this profile is based on 450 minutes of playing time this season.

Transfer Intelligence

Wesley Fofana delivers 89% of the same playing style, at a 56% premium over Benoît Badiashile, with 1.08 tackles won per 90 at age 25.

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

B
Comparison Base
Benoît Badiashile
DefenderFrance€18.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
W
Wesley Fofana
Chelsea · Premier League
France25yContract 2029
Tkl/901.08
KP/900.17
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
vs Badiashile: €10M more expensive
89% match
€28.0M
#2
L
Levi Colwill
Chelsea · Premier League
England23yContract 2029
Tkl/901.41
KP/900.41
Ball-Playing CBBall-Playing
vs Badiashile: €32M more expensive · 2y younger
88% match
€50.0M
#3
L
Loïc Badé
Bayer 04 Leverkusen · Bundesliga
France26yContract 2030
Tkl/902.37
KP/900.59
Ball-Playing CBBall-Playing
vs Badiashile: €7M more expensive
88% match
€25.0M
#4
M
Malo Gusto
Chelsea · Premier League
France22yContract 2030
Tkl/902.10
KP/901.15
Active Full-Back
Last 5: ↓ Dip
87% match
€35.0M
#5
W
William Saliba
Arsenal · Premier League
France25yContract 2027
Tkl/901.28
KP/900.36
Ball-Playing CBBall-Playing
Last 5: → Stable
86% match
€90.0M
#6
T
Trevoh Chalobah
Chelsea · Premier League
England26yContract 2028
Tkl/901.15
KP/900.16
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
86% match
€40.0M
#7
S
Samson Baidoo
Lens · Ligue 1
Austria22yContract 2030
Tkl/901.98
KP/900.28
Ball-Playing CBAerial
Last 5: → Stable
86% match
€12.0M
#8
M
Marc Guéhi
Manchester City · Premier League
England25yContract 2026
Tkl/901.55
KP/900.45
Ball-Playing CBAerial
Last 5: → Stable
86% match
€65.0M
#9
J
J. Timber
Arsenal · Premier League
Netherlands24yContract 2028
Tkl/902.42
KP/900.99
Active Full-Back
Last 5: → Stable
85% match
€70.0M
#10
F
Fikayo Tomori
AC Milan · Serie A
England28yContract 2027
Tkl/902.22
KP/900.00
Ball-Playing CBSmall Sample
Last 5: ↓ Dip
85% match
€20.0M
#11
A
Abdoulaye Ndiaye
Parma · Serie A
Senegal24yContract 2029
Tkl/902.24
KP/900.00
Ball-Playing CBAerial
85% match
€6.5M
#12
B
Ben Chilwell
Strasbourg · Ligue 1
England29yContract 2027
Tkl/900.58
KP/900.72
Active Full-Back
Last 5: → Stable
85% 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 Benoît Badiashile.

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Frequently Asked Questions

Who are the best alternatives to Benoît Badiashile?
The top alternatives to Benoît Badiashile based on AI DNA playing style analysis include: Wesley Fofana, Levi Colwill, Loïc Badé, Malo Gusto, William Saliba. 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 Benoît Badiashile in 2026?
Players with a similar profile to Benoît Badiashile in 2026 include Wesley Fofana (€28.0M), Levi Colwill (€50.0M), Loïc Badé (€25.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Benoît Badiashile play and who plays similarly?
Benoît Badiashile plays as a Defender. Players with a comparable positional profile include Wesley Fofana (France, €28.0M); Levi Colwill (England, €50.0M); Loïc Badé (France, €25.0M); Malo Gusto (France, €35.0M).
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.