AI DNA Similarity
Best Alternatives to Szymon Żurkowski
Players most similar to Szymon Żurkowski (Midfielder, €2.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Szymon Żurkowski
- 1.Maurizio Brenna80% DNA match·Katwijk
- 2.Jeremiah Mensah80% DNA match·Bayer 04 Leverkusen
- 3.Kiano Dyer80% DNA match·FC Volendam
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
???Bottom 0%
“Szymon Żurkowski is a Midfielder....”
See Full Verdict + Share Card →Playing Style Analysis
Szymon Żurkowski is a Midfielder. Solid midfield option. The three most similar players to Szymon Żurkowski by playing style are:
- Maurizio Brenna(80% match) — Maurizio Brenna is a Midfielder. Solid midfield option. (Limited sample: 299 mins)
- Jeremiah Mensah(80% match) — Jeremiah Dennit Mensah is a Midfielder. Solid midfield option. (Limited sample: 327 mins)
- Kiano Dyer(80% match) — Kiano Dyer is a Midfielder. Solid midfield option. (Limited sample: 286 mins)
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
M
Maurizio Brenna
Katwijk · Eredivisie
Netherlands27y
KP/900.00
G/900.00
Small Sample
80% match
N/A
#2
J
Jeremiah Mensah
Bayer 04 Leverkusen · Bundesliga
Germany18y
KP/900.00
G/900.00
Small Sample
vs Żurkowski: 10y younger
80% match
N/A
#3
K
Kiano Dyer
FC Volendam · Eredivisie
England19y
KP/900.00
G/900.00
Small Sample
vs Żurkowski: 9y younger
80% match
N/A
#4
R
Rick van der Meer
Katwijk · Eredivisie
Netherlands28y
KP/900.00
G/900.00
Small Sample
80% match
N/A
#5
G
Gerry Vlak
Koninklijke HFC · Eredivisie
Netherlands30y
KP/900.00
G/900.00
Small Sample
80% match
N/A
#6
D
Doni Arifi
SpVgg Greuther Fürth · Bundesliga
Finland24y
KP/901.12
G/900.00
Small Sample
Last 5: ↓ Dip80% match
N/A
#7
J
Joseph Nduquidi
Metz · Ligue 1
France21y
KP/900.15
G/900.00
Balanced MidfielderSmall Sample
Last 5: ↓ Dip79% match
N/A
#8
S
Salvador Blopa
Sporting CP · Liga Portugal
Portugal18y
KP/900.00
G/900.00
Small Sample
79% match
N/A
#9
N
Noah Fenyö
Eintracht Frankfurt · Bundesliga
Hungary20yContract 2029
KP/900.26
G/900.52
Small Sample
79% match
N/A
#10
M
Michal Nalepa
Gençlerbirliği · Super Lig
Poland31y
KP/901.94
G/900.07
Balanced MidfielderSmall Sample
Last 5: → Stable79% match
N/A
#11
Y
Yusuf Yazıcı
Olympiacos F.C. · Ligue 1
Turkey29yContract 2027
KP/903.38
G/900.52
Creator
Last 5: → Stable78% match
€18.5M
#12
M
Martin Spelmann
Hvidovre · Superliga
Denmark39y
KP/900.40
G/900.00
Small Sample
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 Szymon Żurkowski.
Ask AI about Szymon Żurkowski →Frequently Asked Questions
Who are the best alternatives to Szymon Żurkowski?▼
The top alternatives to Szymon Żurkowski based on AI DNA playing style analysis include: Maurizio Brenna, Jeremiah Mensah, Kiano Dyer, Rick van der Meer, Gerry Vlak. 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 Szymon Żurkowski in 2026?▼
Players with a similar profile to Szymon Żurkowski in 2026 include Maurizio Brenna (N/A), Jeremiah Mensah (N/A), Kiano Dyer (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Szymon Żurkowski play and who plays similarly?▼
Szymon Żurkowski plays as a Midfielder. Players with a comparable positional profile include Maurizio Brenna (Netherlands, N/A); Jeremiah Mensah (Germany, N/A); Kiano Dyer (England, N/A); Rick van der Meer (Netherlands, 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.