AI DNA Similarity
Best Alternatives to Kamil Piatkowski
Players most similar to Kamil Piatkowski (Defender, €1.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Kamil Piatkowski
- 1.Nikita Andreev83% DNA match·Middelfart
- 2.Orest Lebedenko82% DNA match·Vitória Guimarães
- 3.Houboulang Mendes81% DNA match·Fortuna Sittard
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
Big ChancesTop 0%
???Bottom 0%
“Kamil Piątkowski is a Defender....”
See Full Verdict + Share Card →Playing Style Analysis
Kamil Piątkowski is a Defender. Solid defensive option. The three most similar players to Kamil Piatkowski by playing style are:
- Nikita Andreev(83% match) — Mads Greve is a Defender. Solid defensive option.
- Orest Lebedenko(82% match) — A Defender. Statistically, he stands out as active in the tackle (2.0 tackles/90), wins the physical battle (57% duel success) and top 10% tackler in the league.
- Houboulang Mendes(81% 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 Piatkowski: 11y older
83% match
N/A
#2
O
Orest Lebedenko
Vitória Guimarães · Liga Portugal
Ukraine27yContract 2028
Tkl/902.27
KP/900.82
vs Piatkowski: 2y older
82% match
N/A
#3
H
Houboulang Mendes
Fortuna Sittard · Eredivisie
Guinea-Bissau28y
Tkl/901.66
KP/900.69
vs Piatkowski: 3y older
81% match
N/A
#4
J
Jonas Kehl
Sportfreunde Lotte · Bundesliga
Germany25y
Tkl/900.00
KP/900.00
Small Sample
81% match
N/A
#5
M
Matthias Zimmermann
Fortuna Düsseldorf · Bundesliga
Germany33yContract 2026
Tkl/903.06
KP/901.02
80% match
N/A
#6
F
Fabian Holland
Darmstadt 98 · Bundesliga
Germany35yContract 2025
Tkl/903.98
KP/900.36
Active Full-Back
Last 5: ↓ Dip80% match
N/A
#7
J
Justin Janitzek
Wehen Wiesbaden · Bundesliga
Germany22y
Tkl/900.25
KP/900.00
Small Sample
81% match
N/A
#8
M
Marco Meyerhöfer
Preußen Münster · Bundesliga
Germany30y
Tkl/902.14
KP/900.62
80% match
N/A
#9
W
Wouter Prins
FC Groningen · Eredivisie
Netherlands22y
Tkl/904.38
KP/900.76
79% match
N/A
#10
A
Alex Pinto
Farense · Liga Portugal
Portugal27y
Tkl/901.33
KP/900.27
80% match
N/A
#11
H
Henning Matriciani
Schalke 04 · Bundesliga
Germany26yContract 2026
Tkl/902.16
KP/900.15
79% match
N/A
#12
D
Dean van der Sluys
Kozakken Boys · Eredivisie
Netherlands30y
Tkl/901.49
KP/900.87
Solid Defender
78% match
N/A
⬡
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 Kamil Piatkowski.
Ask AI about Kamil Piatkowski →Frequently Asked Questions
Who are the best alternatives to Kamil Piatkowski?▼
The top alternatives to Kamil Piatkowski based on AI DNA playing style analysis include: Nikita Andreev, Orest Lebedenko, Houboulang Mendes, Jonas Kehl, Matthias Zimmermann. 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 Kamil Piatkowski in 2026?▼
Players with a similar profile to Kamil Piatkowski in 2026 include Nikita Andreev (N/A), Orest Lebedenko (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 Kamil Piatkowski play and who plays similarly?▼
Kamil Piatkowski plays as a Defender. Players with a comparable positional profile include Nikita Andreev (Denmark, N/A); Orest Lebedenko (Ukraine, N/A); Houboulang Mendes (Guinea-Bissau, N/A); Jonas Kehl (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.