RisingTransfers
AI DNA Similarity

Best Alternatives to Milan Škriniar

Players most similar to Milan Škriniar (Defender, €11.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Milan Škriniar

  1. 1.Davinson Sánchez83% DNA match·Galatasaray€18.0M
  2. 2.Bremer84% DNA match·Juventus€35.0M
  3. 3.Attila Szalai84% DNA match·TSG Hoffenheim€12.3M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 12%

Škriniar arrives in the Super Lig carrying the fingerprints of a different football education...

See Full Verdict + Share Card →

Playing Style Analysis

Ball-Playing CBBall-PlayingAerial

Škriniar arrives in the Super Lig carrying the fingerprints of a different football education entirely—a centre-back who builds from deep with the touch of a midfielder and the occasional instinct of a forward. His 69 passes per 90 places him in the top 5% of defenders in the league, and a 90.6% accuracy rate confirms this isn't just volume for volume's sake. He's also chipped in at a rate landing him in the top 20% for goals—a remarkable footnote for a man nominally tasked with stopping them. The three most similar players to Milan Škriniar by playing style are:

  • Davinson Sánchez(83% match)Sánchez has carved out a second act in the Super Lig that quietly reframes what he actually is: not a dominant physical stopper, but a composed, progressive ball-mover who happens to wear a centre-back's shirt. His passing volume sits in the top 5% of defenders in the league, and his delivery into the final third ranks top 20%—numbers that belong to a deep-lying playmaker, not a journeyman defender. The counterintuitive truth here is that his aerial win *rate* looks poor at 30%, yet his raw aerial volume still ranks top 30%; he's simply contesting more duels than most, inflating the denominator.
  • Bremer(84% match)A Ball-Playing CB. Statistically, he stands out as a regular goalscorer (0.21 goals/90), meticulous in distribution (89% pass accuracy), wins the physical battle (61% duel success), dominant in the air (3.3 aerials won/90, 60%), uses long balls frequently (5.9/90) and active off the ball (2.2 press score/90), contributing to defensive transitions. Note: this profile is based on 875 minutes of playing time this season.
  • Attila Szalai(84% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (6.0 clearances/90), wins the physical battle (57% duel success), penetrates with forward passing (8.1 final-third passes/90) and uses long balls frequently (9.1/90).

Transfer Intelligence

Davinson Sánchez delivers 83% of the same playing style, at a 64% premium over Milan Škriniar, with 1.74 tackles won per 90 at age 29.

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

M
Comparison Base
Milan Škriniar
DefenderSlovakia€11.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
D
Davinson Sánchez
Galatasaray · Super Lig
Colombia29yContract 2027
Tkl/901.74
KP/900.48
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
vs Škriniar: €7M more expensive · 2y younger
83% match
€18.0M
#2
B
Bremer
Juventus · Serie A
Brazil29yContract 2029
Tkl/901.03
KP/900.21
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
vs Škriniar: €24M more expensive · 2y younger
84% match
€35.0M
#3
A
Attila Szalai
TSG Hoffenheim · Super Lig
Hungary28yContract 2026
Tkl/901.54
KP/900.54
Ball-Playing CBAerial
Last 5: ↓ Dip
vs Škriniar: 3y younger
84% match
€12.3M
#4
A
Alessandro Bastoni
Inter · Serie A
Italy27yContract 2028
Tkl/902.31
KP/901.16
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
83% match
€80.0M
#5
A
Arseniy Batagov
Trabzonspor · Super Lig
Ukraine24yContract 2028
Tkl/901.82
KP/900.62
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
82% match
€11.0M
#6
M
Manuel Akanji
Inter · Serie A
Switzerland30yContract 2026
Tkl/901.47
KP/900.20
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
82% match
€22.0M
#7
O
Odilon Kossounou
Atalanta · Serie A
Ivory Coast25yContract 2029
Tkl/901.33
KP/900.11
Ball-Playing CBBall-Playing
Last 5: → Stable
82% match
€22.0M
#8
M
Mateusz Wieteska
Kocaelispor · Super Lig
Poland29y
Tkl/901.50
KP/900.10
Ball-Playing CBBall-Playing
82% match
€5.0M
#9
A
Abdülkerim Bardakcı
Galatasaray · Super Lig
Turkey31yContract 2027
Tkl/901.45
KP/900.56
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
82% match
€6.5M
#10
Ü
Ümit Akdağ
Alanyaspor · Super Lig
Romania22yContract 2028
Tkl/901.24
KP/900.62
Ball-Playing CBAerial
Last 5: ↑ Hot
82% match
€4.0M
#11
G
Giorgio Scalvini
Atalanta · Serie A
Italy22yContract 2028
Tkl/902.06
KP/900.72
Ball-Playing CBBall-Playing
Last 5: → Stable
82% match
€25.0M
#12
I
Ismail Jakobs
Galatasaray · Super Lig
Senegal26yContract 2027
Tkl/901.89
KP/900.91
Last 5: → Stable
83% match
€6.0M

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 Milan Škriniar.

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Frequently Asked Questions

Who are the best alternatives to Milan Škriniar?
The top alternatives to Milan Škriniar based on AI DNA playing style analysis include: Davinson Sánchez, Bremer, Attila Szalai, Alessandro Bastoni, Arseniy Batagov. 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 Milan Škriniar in 2026?
Players with a similar profile to Milan Škriniar in 2026 include Davinson Sánchez (€18.0M), Bremer (€35.0M), Attila Szalai (€12.3M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Milan Škriniar play and who plays similarly?
Milan Škriniar plays as a Defender. Players with a comparable positional profile include Davinson Sánchez (Colombia, €18.0M); Bremer (Brazil, €35.0M); Attila Szalai (Hungary, €12.3M); Alessandro Bastoni (Italy, €80.0M).
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.