AI DNA Similarity
Best Alternatives to Petar Filipovic
Players most similar to Petar Filipovic (Defender, €450K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
Petar Filipović is a Ball-Playing CB. Progressive defender comfortable on the ball. The three most similar players to Petar Filipovic by playing style are:
- Josip Calusic(88% match) — Josip Ćalušić is a Ball-Playing CB. Progressive defender comfortable on the ball.
- Veljko Milosavljevic(87% match) — Veljko Milosavljević is a Ball-Playing CB. Progressive defender comfortable on the ball.
- Daan Steur(87% match) — Daan Steur is a Ball-Playing CB. Progressive defender comfortable on the ball.
Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →
Similar Players — Ranked by DNA Similarity
#1
J
Josip Calusic
Konyaspor · Super Lig
Croatia32yContract 2026
Tkl/900.61
KP/900.31
Reading DefenderAerial Defender
88% match
N/A
#2
V
Veljko Milosavljevic
AFC Bournemouth · Premier League
Serbia18yContract 2030
Tkl/901.23
KP/900.25
Aerial Defender
87% match
€20.0M
#3
D
Daan Steur
IJsselmeervogels · Eredivisie
Netherlands23y
Tkl/901.05
KP/900.00
Ball-Playing CBAerial
87% match
N/A
#4
M
Milan Škriniar
Fenerbahçe · Super Lig
Slovakia31yContract 2025
Tkl/901.85
KP/900.05
Ball-Playing CBBall-Playing
86% match
€11.0M
#5
B
Botond Balogh
Kocaelispor · Super Lig
Hungary23y
Tkl/901.49
KP/900.34
Ball-Playing CBAerial
86% match
N/A
#6
Z
Zan Zaletel
Viborg FF · Superliga
Slovenia26yContract 2027
Tkl/900.48
KP/900.00
Ball-Playing CBBall-Playing
87% match
N/A
#7
K
Ko Itakura
Ajax · Eredivisie
Japan29yContract 2029
Tkl/900.99
KP/900.17
Ball-Playing CBBall-Playing
85% match
€10.0M
#8
F
Felix Uduokhai
Beşiktaş · Super Lig
Germany28yContract 2027
Tkl/901.77
KP/900.35
Reading DefenderAerial Defender
86% match
€4.0M
#9
J
Jakub Kiwior
Porto · Liga Portugal
Poland26yContract 2026
Tkl/901.87
KP/900.60
Ball-Playing CBBall-Playing
85% match
€27.0M
#10
M
Mads Bech Sørensen
FC Midtjylland · Superliga
Denmark27yContract 2027
Tkl/900.92
KP/900.36
Ball-Playing CBAerial
85% match
N/A
#11
M
Martin Erlić
FC Midtjylland · Superliga
Croatia28y
Tkl/901.18
KP/900.24
Ball-Playing CBAerial
86% match
€5.0M
#12
Y
Yarek Gasiorowski
PSV · Eredivisie
Spain21yContract 2030
Tkl/901.12
KP/900.11
Ball-Playing CBBall-Playing
85% match
€16.0M
⬡
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 Petar Filipovic.
Ask AI about Petar Filipovic →Frequently Asked Questions
Who are the best alternatives to Petar Filipovic?▼
The top alternatives to Petar Filipovic based on AI DNA playing style analysis include: Josip Calusic, Veljko Milosavljevic, Daan Steur, Milan Škriniar, Botond Balogh. 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 Petar Filipovic in 2026?▼
Players with a similar profile to Petar Filipovic in 2026 include Josip Calusic (N/A), Veljko Milosavljevic (€20.0M), Daan Steur (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Petar Filipovic play and who plays similarly?▼
Petar Filipovic plays as a Defender. Players with a comparable positional profile include Josip Calusic (Croatia, N/A); Veljko Milosavljevic (Serbia, €20.0M); Daan Steur (Netherlands, N/A); Milan Škriniar (Slovakia, €11.0M).
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.