RisingTransfers
AI DNA Similarity

Best Alternatives to Sead Kolasinac

Players most similar to Sead Kolasinac (Defender, €6.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Sead Kolasinac

  1. 1.Berat Djimsiti86% DNA match·Atalanta€5.0M
  2. 2.Mathías Olivera85% DNA match·Napoli€15.0M
  3. 3.Pierre Kalulu85% DNA match·Juventus€32.0M

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-PlayingSmall Sample

A Ball-Playing CB. Statistically, he stands out as naturally left-footed, meticulous in distribution (91% pass accuracy), heavily involved in possession (62 passes/90), central to possession (71 touches/90) and active off the ball (2.7 press score/90), contributing to defensive transitions. Note: this profile is based on 573 minutes of playing time this season. The three most similar players to Sead Kolasinac by playing style are:

  • Berat Djimsiti(86% match)Djimsiti has carved out a quietly indispensable role at Atalanta through a blend of aerial authority and positional discipline that rarely generates highlights but consistently generates clean sheets. His 2.90 aerials won per 90 places him in the top 20% of Serie A defenders—a figure that understates his real value, because in Atalanta's high-pressing system, winning second balls isn't cosmetic, it's structural. His 89.9% pass accuracy and 54.9 passes per 90 both rank in the top fifth of the league, meaning he's not just a stopper—he circulates possession with genuine comfort.
  • Mathías Olivera(85% match)A Active Full-Back. Statistically, he stands out as naturally left-footed, an aggressive ball-winner (2.9 tackles/90), meticulous in distribution (90% pass accuracy), wins the physical battle (65% duel success), heavily involved in possession (66 passes/90), central to possession (82 touches/90), active off the ball (2.5 press score/90), contributing to defensive transitions and top 10% tackler in the league.
  • Pierre Kalulu(85% match)Kalulu has quietly become one of Serie A's most progressive defenders — a ball-carrier in disguise wearing a centre-back's number. His 60.8 passes per 90 and 6.23 passes into the final third both land in the top 20-30% of defenders in the league, figures that reveal a player comfortable initiating attacks rather than simply recycling possession. His key passes per 90 (top 20%) are genuinely remarkable for a defender — higher than many midfielders — suggesting his influence on the final third is being systematically undervalued by clubs still scanning only defensive metrics.

Transfer Intelligence

Berat Djimsiti delivers 86% of the same playing style, at 17% lower cost (€5.0M vs €6.0M), with 1.93 tackles won per 90 at age 33.

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

S
Comparison Base
Sead Kolasinac
DefenderBosnia and Herzegovina€6.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
B
Berat Djimsiti
Atalanta · Serie A
Albania33yContract 2026
Tkl/901.93
KP/900.19
Ball-Playing CBBall-Playing
Last 5: → Stable
86% match
€5.0M
#2
M
Mathías Olivera
Napoli · Serie A
Uruguay28yContract 2030
Tkl/902.59
KP/900.94
Active Full-BackBall-Playing
Last 5: ↓ Dip
vs Kolasinac: €9M more expensive · 4y younger
85% match
€15.0M
#3
P
Pierre Kalulu
Juventus · Serie A
France25yContract 2029
Tkl/902.17
KP/901.25
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Kolasinac: €26M more expensive · 7y younger
85% match
€32.0M
#4
A
Aarón Martín
Genoa · Serie A
Spain29yContract 2026
Tkl/901.84
KP/902.80
Solid Defender
Last 5: ↑ Hot
85% match
€7.0M
#5
T
Tarik Muharemović
Sassuolo · Serie A
Bosnia and Herzegovina23yContract 2031
Tkl/901.36
KP/900.09
Ball-Playing CBAerial
Last 5: → Stable
84% match
€20.0M
#6
A
Alessio Romagnoli
Lazio · Serie A
Italy31yContract 2027
Tkl/900.77
KP/900.18
Ball-Playing CBBall-Playing
Last 5: → Stable
84% match
€7.0M
#7
G
Giovanni Di Lorenzo 
Napoli · Serie A
Italy32yContract 2028
Tkl/902.08
KP/900.67
Active Full-BackBall-Playing
84% match
€10.0M
#8
T
Tiago Gabriel
Lecce · Serie A
Portugal21yContract 2027
Tkl/901.37
KP/900.05
Ball-Playing CBAerial
Last 5: ↓ Dip
84% match
€15.0M
#9
N
Nadir Zortea
Bologna · Serie A
Italy26yContract 2029
Tkl/901.19
KP/901.19
Last 5: → Stable
84% match
€7.5M
#10
O
Odilon Kossounou
Atalanta · Serie A
Ivory Coast25yContract 2029
Tkl/901.33
KP/900.11
Ball-Playing CBBall-Playing
Last 5: → Stable
83% match
€22.0M
#11
E
Evan Ndicka
Roma · Serie A
France26yContract 2028
Tkl/900.85
KP/900.18
Ball-Playing CBBall-Playing
Last 5: → Stable
83% match
€30.0M
#12
M
Marin Pongracic
Fiorentina · Serie A
Croatia28yContract 2029
Tkl/901.22
KP/900.28
Ball-Playing CBBall-Playing
Last 5: → Stable
83% match
€7.5M

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 Sead Kolasinac.

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Frequently Asked Questions

Who are the best alternatives to Sead Kolasinac?
The top alternatives to Sead Kolasinac based on AI DNA playing style analysis include: Berat Djimsiti, Mathías Olivera, Pierre Kalulu, Aarón Martín, Tarik Muharemović. 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 Sead Kolasinac in 2026?
Players with a similar profile to Sead Kolasinac in 2026 include Berat Djimsiti (€5.0M), Mathías Olivera (€15.0M), Pierre Kalulu (€32.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Sead Kolasinac play and who plays similarly?
Sead Kolasinac plays as a Defender. Players with a comparable positional profile include Berat Djimsiti (Albania, €5.0M); Mathías Olivera (Uruguay, €15.0M); Pierre Kalulu (France, €32.0M); Aarón Martín (Spain, €7.0M).
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.