AI DNA Similarity
Best Alternatives to Bogdan Planić
Players most similar to Bogdan Planić (Defender, €1.8M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Bogdan Planić
- 1.Nikita Andreev82% DNA match·Middelfart
- 2.Roko Jureskin82% DNA match·Spartak Trnava
- 3.Houboulang Mendes79% DNA match·Fortuna Sittard
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
Chances MissedTop 0%
???Bottom 0%
“Bogdan Planić is a Defender....”
See Full Verdict + Share Card →Playing Style Analysis
Bogdan Planić is a Defender. Solid defensive option. The three most similar players to Bogdan Planić by playing style are:
- Nikita Andreev(82% match) — Mads Greve is a Defender. Solid defensive option.
- Roko Jureskin(82% match) — Roko Jureskin is a Defender. Solid defensive option. (Limited sample: 287 mins)
- Houboulang Mendes(79% match) — Houboulang Mendes is a Defender. Solid defensive option.
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
N
Nikita Andreev
Middelfart · Superliga
Denmark36y
Tkl/901.17
KP/900.20
vs Planić: 2y older
82% match
N/A
#2
R
Roko Jureskin
Spartak Trnava · Serie A
Croatia25y
Tkl/901.57
KP/900.94
Small Sample
vs Planić: 9y younger
82% match
N/A
#3
H
Houboulang Mendes
Fortuna Sittard · Eredivisie
Guinea-Bissau28y
Tkl/901.66
KP/900.69
vs Planić: 6y younger
79% match
N/A
#4
J
Justin Janitzek
Wehen Wiesbaden · Bundesliga
Germany22y
Tkl/900.25
KP/900.00
Small Sample
80% match
N/A
#5
A
Alex Pinto
Farense · Liga Portugal
Portugal27y
Tkl/901.33
KP/900.27
80% match
N/A
#6
H
Henning Matriciani
Schalke 04 · Bundesliga
Germany26yContract 2026
Tkl/902.16
KP/900.15
79% match
N/A
#7
O
Orest Lebedenko
Vitória Guimarães · Liga Portugal
Ukraine27yContract 2028
Tkl/902.27
KP/900.82
78% match
N/A
#8
F
Fabian Holland
Darmstadt 98 · Bundesliga
Germany35yContract 2025
Tkl/903.98
KP/900.36
Active Full-Back
Last 5: ↓ Dip78% match
N/A
#9
M
Marco Meyerhöfer
Preußen Münster · Bundesliga
Germany30y
Tkl/902.14
KP/900.62
78% match
N/A
#10
M
Manel Royo
Teruel · Eredivisie
Spain32y
Tkl/900.00
KP/900.00
Small Sample
79% match
N/A
#11
W
Wouter Prins
FC Groningen · Eredivisie
Netherlands22y
Tkl/904.38
KP/900.76
78% match
N/A
#12
M
Matthias Zimmermann
Fortuna Düsseldorf · Bundesliga
Germany33yContract 2026
Tkl/903.06
KP/901.02
78% match
N/A
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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 Bogdan Planić.
Ask AI about Bogdan Planić →Frequently Asked Questions
Who are the best alternatives to Bogdan Planić?▼
The top alternatives to Bogdan Planić based on AI DNA playing style analysis include: Nikita Andreev, Roko Jureskin, Houboulang Mendes, Justin Janitzek, Alex Pinto. 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 Bogdan Planić in 2026?▼
Players with a similar profile to Bogdan Planić in 2026 include Nikita Andreev (N/A), Roko Jureskin (N/A), Houboulang Mendes (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Bogdan Planić play and who plays similarly?▼
Bogdan Planić plays as a Defender. Players with a comparable positional profile include Nikita Andreev (Denmark, N/A); Roko Jureskin (Croatia, N/A); Houboulang Mendes (Guinea-Bissau, N/A); Justin Janitzek (Germany, N/A).
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.