RisingTransfers
AI DNA Similarity

Best Alternatives to Dejan Lovren

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

Top 3 Alternatives to Dejan Lovren

  1. 1.Virgil van Dijk86% DNA match·Liverpool€18.0M
  2. 2.Duje Caleta-Car86% DNA match·Real Sociedad€3.0M
  3. 3.Sepp van den Berg84% DNA match·Brentford€28.0M

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

RT

Intelligence Verdict

Ball RecoveriesTop 7%
???Bottom 6%

Lovren remains the quintessential defensive paradox: a veteran whose physical dominance in the...

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Playing Style Analysis

Ball-Playing CBBall-PlayingAerial

Lovren remains the quintessential defensive paradox: a veteran whose physical dominance in the Super League suggests he is playing a different sport than his peers. Winning 100% of his aerial duels and 75% of his total challenges, he operates as a statistical brick wall, yet his value is increasingly dictated by his distribution. He is the primary engine of his Tier-C side’s buildup, ranking in the top 10% for passes per 90 (75.7) and pass accuracy (88.2%), showcasing a refined technical security that often eludes pure stoppers. The three most similar players to Dejan Lovren by playing style are:

  • Virgil van Dijk(86% match)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).
  • Duje Caleta-Car(86% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (4.9 clearances/90), meticulous in distribution (90% pass accuracy), wins the physical battle (58% duel success) and strong in aerial duels (3.8 aerials won/90).
  • Sepp van den Berg(84% 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%).

Transfer Intelligence

Virgil van Dijk delivers 86% of the same playing style, at a 800% premium over Dejan Lovren, with 0.61 tackles won per 90 at age 34.

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

D
Comparison Base
Dejan Lovren
DefenderCroatia€2.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
V
Virgil van Dijk
Liverpool · Premier League
Netherlands34yContract 2027
Tkl/900.61
KP/900.31
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
vs Lovren: €16M more expensive · 2y younger
86% match
€18.0M
#2
D
Duje Caleta-Car
Real Sociedad · La Liga
Croatia29yContract 2026
Tkl/900.88
KP/900.20
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
vs Lovren: 7y younger
86% match
€3.0M
#3
S
Sepp van den Berg
Brentford · Premier League
Netherlands24yContract 2029
Tkl/900.64
KP/900.20
Ball-Playing CBAerial
Last 5: → Stable
vs Lovren: €26M more expensive · 12y younger
84% match
€28.0M
#4
Y
Yerry Mina
Cagliari · Serie A
Colombia31yContract 2028
Tkl/901.60
KP/900.18
Ball-Playing CBAerial
84% match
€3.0M
#5
K
Kristoffer Ajer
Brentford · Premier League
Norway28yContract 2028
Tkl/901.87
KP/900.26
Physical StopperAerial
Last 5: ↓ Dip
84% match
€18.0M
#6
N
Nikola Milenković
Nottingham Forest · Premier League
Serbia28yContract 2029
Tkl/900.87
KP/900.03
Ball-Playing CBAerial
Last 5: ↑ Hot
83% match
€30.0M
#7
T
Tiago Gabriel
Lecce · Serie A
Portugal21yContract 2027
Tkl/901.37
KP/900.05
Ball-Playing CBAerial
Last 5: ↓ Dip
83% match
€15.0M
#8
T
Tyrone Mings
Aston Villa · Premier League
England33yContract 2027
Tkl/900.29
KP/900.36
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
84% match
€4.0M
#9
M
Modibo Sagnan
Rizespor · Super Lig
France27y
Tkl/902.29
KP/900.25
Reading DefenderAerial Defender
Last 5: ↑ Hot
84% match
€3.2M
#10
B
Bram Nuytinck
NEC Nijmegen · Eredivisie
Netherlands36y
Tkl/901.08
KP/900.00
Ball-Playing CBBall-Playing
Last 5: → Stable
83% match
€3.0M
#11
I
Ibrahima Konaté
Liverpool · Premier League
France26yContract 2026
Tkl/901.60
KP/900.22
Ball-Playing CBBall-Playing
Last 5: → Stable
83% match
€50.0M
#12
C
Calvin Bassey
Fulham · Premier League
Nigeria26yContract 2027
Tkl/902.22
KP/900.34
Ball-Playing CBBall-Playing
Last 5: → Stable
83% match
€28.0M

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 Dejan Lovren.

Ask AI about Dejan Lovren

Frequently Asked Questions

Who are the best alternatives to Dejan Lovren?
The top alternatives to Dejan Lovren based on AI DNA playing style analysis include: Virgil van Dijk, Duje Caleta-Car, Sepp van den Berg, Yerry Mina, Kristoffer Ajer. 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 Dejan Lovren in 2026?
Players with a similar profile to Dejan Lovren in 2026 include Virgil van Dijk (€18.0M), Duje Caleta-Car (€3.0M), Sepp van den Berg (€28.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Dejan Lovren play and who plays similarly?
Dejan Lovren plays as a Defender. Players with a comparable positional profile include Virgil van Dijk (Netherlands, €18.0M); Duje Caleta-Car (Croatia, €3.0M); Sepp van den Berg (Netherlands, €28.0M); Yerry Mina (Colombia, €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.