AI DNA Similarity
Best Alternatives to Jan Mejdr
Players most similar to Jan Mejdr (Defender, €530K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Jan Mejdr
- 1.Sebastian Jung100% DNA match·Karlsruher SC
- 2.Boyd Lucassen100% DNA match·NAC Breda
- 3.Julian Kuijpers89% DNA match·TOP Oss
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
???Bottom 0%
“A Active Full-Back....”
See Full Verdict + Share Card →Playing Style Analysis
Active Full-Back
A Active Full-Back. The three most similar players to Jan Mejdr by playing style are:
- Sebastian Jung(100% match) — A Active Full-Back.
- Boyd Lucassen(100% match) — A Active Full-Back. Statistically, he stands out as wins the physical battle (59% duel success).
- Julian Kuijpers(89% match) — A Active Full-Back. Statistically, he stands out as active in the tackle (2.2 tackles/90), uses long balls frequently (6.4/90) and active off the ball (2.0 press score/90), contributing to defensive transitions.
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
S
Sebastian Jung
Karlsruher SC · Bundesliga
Germany35y
Tkl/900.55
KP/900.97
Active Full-Back
Last 5: ↑ Hotvs Mejdr: 4y older
100% match
N/A
#2
B
Boyd Lucassen
NAC Breda · Eredivisie
Netherlands27y
Tkl/901.41
KP/900.83
Active Full-Back
Last 5: → Stablevs Mejdr: 4y younger
100% match
N/A
#3
J
Julian Kuijpers
TOP Oss · Eredivisie
Netherlands21yContract 2027
Tkl/901.77
KP/900.82
Active Full-Back
Last 5: ↑ Hotvs Mejdr: 10y younger
89% match
N/A
#4
S
Sofiane Alakouch
Paris · Ligue 1
Morocco27y
Tkl/902.90
KP/900.87
Active Full-Back
88% match
N/A
#5
J
Jesper Zwart
AZ · Eredivisie
Netherlands19y
Tkl/902.72
KP/901.06
Active Full-Back
Last 5: ↓ Dip88% match
N/A
#6
D
Damian van der Haar
PEC Zwolle · Eredivisie
Netherlands22yContract 2028
Tkl/901.75
KP/900.72
Solid Defender
87% match
N/A
#7
D
Dean van der Sluys
Kozakken Boys · Eredivisie
Netherlands30y
Tkl/901.49
KP/900.87
Solid Defender
87% match
N/A
#8
S
Shurandy Sambo
Sparta Rotterdam · Eredivisie
Netherlands24y
Tkl/902.27
KP/900.39
Active Full-BackAerial
Last 5: → Stable87% match
N/A
#9
V
Víctor García
Málaga · La Liga
Spain31yContract 2026
Tkl/901.47
KP/901.31
Active Full-Back
Last 5: ↑ Hot87% match
N/A
#10
R
Rodrigo Pinheiro
Famalicão · Liga Portugal
Portugal23y
Tkl/902.18
KP/901.01
Active Full-Back
Last 5: ↓ Dip87% match
N/A
#11
R
Rafita Garrido
Málaga · La Liga
Spain21yContract 2029
Tkl/902.21
KP/900.59
87% match
N/A
#12
G
Gaizka Larrazabal
Casa Pia · Liga Portugal
Spain28y
Tkl/901.66
KP/900.81
Active Full-Back
Last 5: ↓ Dip86% 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 Jan Mejdr.
Ask AI about Jan Mejdr →Frequently Asked Questions
Who are the best alternatives to Jan Mejdr?▼
The top alternatives to Jan Mejdr based on AI DNA playing style analysis include: Sebastian Jung, Boyd Lucassen, Julian Kuijpers, Sofiane Alakouch, Jesper Zwart. 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 Jan Mejdr in 2026?▼
Players with a similar profile to Jan Mejdr in 2026 include Sebastian Jung (N/A), Boyd Lucassen (N/A), Julian Kuijpers (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Jan Mejdr play and who plays similarly?▼
Jan Mejdr plays as a Defender. Players with a comparable positional profile include Sebastian Jung (Germany, N/A); Boyd Lucassen (Netherlands, N/A); Julian Kuijpers (Netherlands, N/A); Sofiane Alakouch (Morocco, 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.