RisingTransfers
AI DNA Similarity

Best Alternatives to Virgil van Dijk

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

Top 3 Alternatives to Virgil van Dijk

  1. 1.Sepp van den Berg89% DNA match·Brentford€28.0M
  2. 2.Ibrahima Konaté87% DNA match·Liverpool€50.0M
  3. 3.Rúben Dias 87% DNA match·Manchester City€60.0M

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

RT

Intelligence Verdict

Aerials WonTop 2%
???Bottom 4%

A Ball-Playing CB....

See Full Verdict + Share Card →

Playing Style Analysis

Ball-Playing CBBall-PlayingAerial

A Ball-Playing CB. Statistically, he stands out as commanding in the air (7.4 clearances/90), meticulous in distribution (89% pass accuracy), wins the physical battle (74% duel success), heavily involved in possession (74 passes/90), penetrates with forward passing (11.1 final-third passes/90), central to possession (86 touches/90), dominant in the air (4.5 aerials won/90, 73%) and uses long balls frequently (7.8/90). The three most similar players to Virgil van Dijk by playing style are:

  • Sepp van den Berg(89% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (6.2 clearances/90), meticulous in distribution (88% pass accuracy), wins the physical battle (66% duel success) and dominant in the air (4.6 aerials won/90, 68%).
  • Ibrahima Konaté(87% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.6 clearances/90), meticulous in distribution (90% pass accuracy), wins the physical battle (68% duel success), heavily involved in possession (63 passes/90), central to possession (77 touches/90) and dominant in the air (3.6 aerials won/90, 67%).
  • Rúben Dias (87% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.0 clearances/90), meticulous in distribution (93% pass accuracy), wins the physical battle (61% duel success), heavily involved in possession (74 passes/90), penetrates with forward passing (8.2 final-third passes/90) and central to possession (85 touches/90).

Transfer Intelligence

Sepp van den Berg delivers 89% of the same playing style, at a 56% premium over Virgil van Dijk, with 0.64 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 →

V
Comparison Base
Virgil van Dijk
DefenderNetherlands€18.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
S
Sepp van den Berg
Brentford · Premier League
Netherlands24yContract 2029
Tkl/900.64
KP/900.20
Ball-Playing CBAerial
Last 5: → Stable
vs Dijk: €10M more expensive · 10y younger
89% match
€28.0M
#2
I
Ibrahima Konaté
Liverpool · Premier League
France26yContract 2026
Tkl/901.60
KP/900.22
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Dijk: €32M more expensive · 8y younger
87% match
€50.0M
#3
R
Rúben Dias 
Manchester City · Premier League
Portugal28yContract 2027
Tkl/900.61
KP/900.26
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
vs Dijk: €42M more expensive · 6y younger
87% match
€60.0M
#4
R
Rav van den Berg
FC Köln · Bundesliga
Netherlands21yContract 2030
Tkl/901.25
KP/900.00
Ball-Playing CBBall-Playing
86% match
€8.0M
#5
M
Matthijs de Ligt
Manchester United · Premier League
Netherlands26yContract 2029
Tkl/901.46
KP/900.23
Ball-Playing CBAerial
86% match
€40.0M
#6
K
Kristoffer Ajer
Brentford · Premier League
Norway28yContract 2028
Tkl/901.87
KP/900.26
Physical StopperAerial
Last 5: ↓ Dip
85% match
€18.0M
#7
H
Harry Maguire
Manchester United · Premier League
England33yContract 2026
Tkl/901.22
KP/900.18
Ball-Playing CBAerial
Last 5: ↑ Hot
85% match
€10.0M
#8
L
Lisandro Martínez
Manchester United · Premier League
Argentina28yContract 2027
Tkl/901.37
KP/900.34
Ball-Playing CBBall-Playing
85% match
€35.0M
#9
M
Marc Guéhi
Manchester City · Premier League
England25yContract 2026
Tkl/901.55
KP/900.45
Ball-Playing CBAerial
Last 5: → Stable
84% match
€65.0M
#10
W
William Saliba
Arsenal · Premier League
France25yContract 2027
Tkl/901.28
KP/900.36
Ball-Playing CBBall-Playing
Last 5: → Stable
84% match
€90.0M
#11
N
Nikola Milenković
Nottingham Forest · Premier League
Serbia28yContract 2029
Tkl/900.87
KP/900.03
Ball-Playing CBAerial
Last 5: ↑ Hot
84% match
€30.0M
#12
A
Andrew Robertson
Liverpool · Premier League
Scotland32yContract 2026
Tkl/900.99
KP/901.49
Active Full-BackBall-Playing
Last 5: ↓ Dip
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 Virgil van Dijk.

Ask AI about Virgil van Dijk

Frequently Asked Questions

Who are the best alternatives to Virgil van Dijk?
The top alternatives to Virgil van Dijk based on AI DNA playing style analysis include: Sepp van den Berg, Ibrahima Konaté, Rúben Dias , Rav van den Berg, Matthijs de Ligt. 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 Virgil van Dijk in 2026?
Players with a similar profile to Virgil van Dijk in 2026 include Sepp van den Berg (€28.0M), Ibrahima Konaté (€50.0M), Rúben Dias  (€60.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Virgil van Dijk play and who plays similarly?
Virgil van Dijk plays as a Defender. Players with a comparable positional profile include Sepp van den Berg (Netherlands, €28.0M); Ibrahima Konaté (France, €50.0M); Rúben Dias  (Portugal, €60.0M); Rav van den Berg (Netherlands, €8.0M).
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.