RisingTransfers
AI DNA Similarity

Best Alternatives to William Saliba

Players most similar to William Saliba (Defender, €90.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to William Saliba

  1. 1.J. Timber89% DNA match·Arsenal€70.0M
  2. 2.Marc Guéhi88% DNA match·Manchester City€65.0M
  3. 3.Wesley Fofana88% DNA match·Chelsea€28.0M

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

RT

Intelligence Verdict

Aerials WonTop 7%
???Bottom 14%

Saliba has quietly become the most complete ball-playing centre-back in the Premier League—a...

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Playing Style Analysis

Ball-Playing CBBall-PlayingAerial

Saliba has quietly become the most complete ball-playing centre-back in the Premier League—a defender who makes the game look administrative. His 92.7% pass accuracy and 76 passes per 90 place him in the top 5% of defenders in the division, yet the more revealing figure is his 6.81 passes into the final third per 90, putting him in the top 20%—this isn't a man simply recycling possession, he's actively driving attacks from deep. The counterintuitive truth: his below-average interception rate isn't laziness, it's positioning intelligence—he's rarely caught out of place enough to need them. The three most similar players to William Saliba by playing style are:

  • J. Timber(89% match)A Active Full-Back. Statistically, he stands out as a reliable supplier (0.18 assists/90), active in the tackle (2.4 tackles/90), meticulous in distribution (85% pass accuracy), wins the physical battle (58% duel success) and active off the ball (2.1 press score/90), contributing to defensive transitions.
  • Marc Guéhi(88% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.2 clearances/90), meticulous in distribution (85% pass accuracy), wins the physical battle (64% duel success), uses long balls frequently (6.3/90) and active off the ball (2.5 press score/90), contributing to defensive transitions.
  • Wesley Fofana(88% 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.

Transfer Intelligence

J. Timber delivers 89% of the same playing style, at 22% lower cost (€70.0M vs €90.0M), with 2.42 tackles won per 90 at age 24.

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

W
Comparison Base
William Saliba
DefenderFrance€90.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
J
J. Timber
Arsenal · Premier League
Netherlands24yContract 2028
Tkl/902.42
KP/900.99
Active Full-Back
Last 5: → Stable
vs Saliba: €20M cheaper
89% match
€70.0M
#2
M
Marc Guéhi
Manchester City · Premier League
England25yContract 2026
Tkl/901.55
KP/900.45
Ball-Playing CBAerial
Last 5: → Stable
vs Saliba: €25M cheaper
88% match
€65.0M
#3
W
Wesley Fofana
Chelsea · Premier League
France25yContract 2029
Tkl/901.08
KP/900.17
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
vs Saliba: €62M cheaper
88% match
€28.0M
#4
J
Jakub Kiwior
Porto · Liga Portugal
Poland26yContract 2026
Tkl/902.03
KP/900.55
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
87% match
€27.0M
#5
G
Gabriel Magalhães
Arsenal · Premier League
Brazil28yContract 2029
Tkl/901.27
KP/900.24
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
87% match
€75.0M
#6
N
Nayef Aguerd
Olympique Marseille · Ligue 1
Morocco30y
Tkl/902.00
KP/900.00
Ball-Playing CBBall-Playing
87% match
€35.0M
#7
R
Rúben Dias 
Manchester City · Premier League
Portugal28yContract 2027
Tkl/900.61
KP/900.26
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
86% match
€60.0M
#8
L
Lisandro Martínez
Manchester United · Premier League
Argentina28yContract 2027
Tkl/901.37
KP/900.34
Ball-Playing CBBall-Playing
87% match
€35.0M
#9
B
Benoît Badiashile
Chelsea · Premier League
France25yContract 2030
Tkl/901.33
KP/900.00
Ball-Playing CBBall-Playing
86% match
€18.0M
#10
M
Mohammed Salisu
Monaco · Ligue 1
Ghana27yContract 2028
Tkl/900.20
KP/900.20
Ball-Playing CBBall-Playing
85% match
€10.0M
#11
T
Trevoh Chalobah
Chelsea · Premier League
England26yContract 2028
Tkl/901.15
KP/900.16
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
85% match
€40.0M
#12
B
Bafodé Diakité
AFC Bournemouth · Premier League
France25y
Tkl/901.41
KP/900.21
Ball-Playing CBAerial
85% match
€30.0M

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 William Saliba.

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Frequently Asked Questions

Who are the best alternatives to William Saliba?
The top alternatives to William Saliba based on AI DNA playing style analysis include: J. Timber, Marc Guéhi, Wesley Fofana, Jakub Kiwior, Gabriel Magalhães. 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 William Saliba in 2026?
Players with a similar profile to William Saliba in 2026 include J. Timber (€70.0M), Marc Guéhi (€65.0M), Wesley Fofana (€28.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does William Saliba play and who plays similarly?
William Saliba plays as a Defender. Players with a comparable positional profile include J. Timber (Netherlands, €70.0M); Marc Guéhi (England, €65.0M); Wesley Fofana (France, €28.0M); Jakub Kiwior (Poland, €27.0M).
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.