AI DNA Similarity
Best Alternatives to Hassan Magdy
Players most similar to Hassan Magdy (Defender, €5.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Hassan Magdy
- 1.Nikita Andreev81% DNA match·Middelfart
- 2.Henning Matriciani80% DNA match·Schalke 04
- 3.Houboulang Mendes78% DNA match·Fortuna Sittard
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
???Bottom 0%
“Hassan Magdy Hassan is a Defender....”
See Full Verdict + Share Card →Playing Style Analysis
Hassan Magdy Hassan is a Defender. Solid defensive option. Statistically, he stands out as naturally left-footed. The three most similar players to Hassan Magdy by playing style are:
- Nikita Andreev(81% match) — Mads Greve is a Defender. Solid defensive option.
- Henning Matriciani(80% match) — Henning Matriciani is a Defender. Solid defensive option. Statistically, he stands out as active in the tackle (2.1 tackles/90).
- Houboulang Mendes(78% 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
81% match
N/A
#2
H
Henning Matriciani
Schalke 04 · Bundesliga
Germany26yContract 2026
Tkl/902.16
KP/900.15
vs Magdy: 9y younger
80% match
N/A
#3
H
Houboulang Mendes
Fortuna Sittard · Eredivisie
Guinea-Bissau28y
Tkl/901.66
KP/900.69
vs Magdy: 7y younger
78% match
N/A
#4
M
Matthias Zimmermann
Fortuna Düsseldorf · Bundesliga
Germany33yContract 2026
Tkl/903.06
KP/901.02
78% match
N/A
#5
E
Elfar Freyr Helgason
Valur · Superliga
Iceland36y
Tkl/900.00
KP/900.00
Small Sample
79% match
N/A
#6
F
Fabian Holland
Darmstadt 98 · Bundesliga
Germany35yContract 2025
Tkl/903.98
KP/900.36
Active Full-Back
Last 5: ↓ Dip77% match
N/A
#7
Y
Yasin Özcan
Beşiktaş · Super Lig
Turkey20yContract 2026
Tkl/901.65
KP/900.28
Active Full-Back
77% match
€5.0M
#8
M
Marco Meyerhöfer
Preußen Münster · Bundesliga
Germany30y
Tkl/902.14
KP/900.62
77% match
N/A
#9
O
Orest Lebedenko
Vitória Guimarães · Liga Portugal
Ukraine27yContract 2028
Tkl/902.27
KP/900.82
77% match
N/A
#10
W
Wouter Prins
FC Groningen · Eredivisie
Netherlands22y
Tkl/904.38
KP/900.76
77% match
N/A
#11
A
Arne Rühlemann
Lokomotive Leipzig · Bundesliga
Germany21y
Tkl/900.00
KP/900.00
Small Sample
78% match
N/A
#12
J
Justin Janitzek
Wehen Wiesbaden · Bundesliga
Germany22y
Tkl/900.25
KP/900.00
Small Sample
77% 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 Hassan Magdy.
Ask AI about Hassan Magdy →Frequently Asked Questions
Who are the best alternatives to Hassan Magdy?▼
The top alternatives to Hassan Magdy based on AI DNA playing style analysis include: Nikita Andreev, Henning Matriciani, Houboulang Mendes, Matthias Zimmermann, Elfar Freyr Helgason. 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 Hassan Magdy in 2026?▼
Players with a similar profile to Hassan Magdy in 2026 include Nikita Andreev (N/A), Henning Matriciani (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 Hassan Magdy play and who plays similarly?▼
Hassan Magdy plays as a Defender. Players with a comparable positional profile include Nikita Andreev (Denmark, N/A); Henning Matriciani (Germany, N/A); Houboulang Mendes (Guinea-Bissau, N/A); Matthias Zimmermann (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.