AI DNA Similarity
Best Alternatives to Andreas Smed
Players most similar to Andreas Smed (Attacker, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Andreas Smed
- 1.Emmanuel Iyoha99% DNA match·Fortuna Düsseldorf
- 2.Francisco Miguel Ribeiro Tomé Tavares Bondoso99% DNA match·Moreirense
- 3.Göktan Gürpüz99% DNA match·Gençlerbirliği
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
InterceptionsTop 9%
???Bottom 8%
“A Complete Forward....”
See Full Verdict + Share Card →Playing Style Analysis
Complete Forward
A Complete Forward. Statistically, he stands out as a capable chance creator (1.2 key passes/90) and a prolific assist provider (0.31 assists/90). The three most similar players to Andreas Smed by playing style are:
- Emmanuel Iyoha(99% match) — A Forward.
- Francisco Miguel Ribeiro Tomé Tavares Bondoso(99% match) — A Forward. Statistically, he stands out as a capable chance creator (1.2 key passes/90) and a reliable supplier (0.19 assists/90).
- Göktan Gürpüz(99% match) — A Dynamic Forward. Statistically, he stands out as an elite creator (1.7 key passes/90), a prolific assist provider (0.28 assists/90) and a dynamic dribbler (2.0/90).
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
E
Emmanuel Iyoha
Fortuna Düsseldorf · Bundesliga
Germany28yContract 2026
G/900.00
A/900.00
99% match
N/A
#2
F
Francisco Miguel Ribeiro Tomé Tavares Bondoso
Moreirense · Liga Portugal
Portugal30yContract 2027
G/900.05
A/900.19
99% match
N/A
#3
G
Göktan Gürpüz
Gençlerbirliği · Super Lig
Turkey23y
G/900.00
A/900.28
Dynamic ForwardDribbler
vs Smed: 6y younger
99% match
N/A
#4
K
Kevin Csoboth
Gençlerbirliği · Super Lig
Hungary25y
G/900.07
A/900.07
98% match
N/A
#5
D
Dennis Chessa
Ulm · Bundesliga
Germany33yContract 2026
G/900.00
A/900.28
98% match
N/A
#6
B
Babatunde Jimoh Akinsola
AVS · Liga Portugal
Nigeria23yContract 2027
G/900.04
A/900.15
98% match
N/A
#7
M
Mike Themsen
Randers FC · Superliga
Denmark20yContract 2028
G/900.00
A/900.25
Complete Forward
98% match
N/A
#8
M
Mehdi Léris
Pisa · Serie A
Algeria27yContract 2027
G/900.22
A/900.22
Small Sample
Last 5: ↑ Hot97% match
N/A
#9
V
V. Rasmussen
Hobro · Superliga
Denmark24y
G/900.00
A/900.21
97% match
N/A
#10
B
Bryan Limbombe
Heracles Almelo · Eredivisie
Belgium24y
G/900.07
A/900.21
97% match
N/A
#11
N
Naïm Matoug
VVV-Venlo · Eredivisie
Netherlands23yContract 2026
G/900.18
A/900.09
97% match
N/A
#12
E
Edoly Lukoki
FC Eindhoven · Eredivisie
France21y
G/900.00
A/900.20
97% 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 Andreas Smed.
Ask AI about Andreas Smed →Frequently Asked Questions
Who are the best alternatives to Andreas Smed?▼
The top alternatives to Andreas Smed based on AI DNA playing style analysis include: Emmanuel Iyoha, Francisco Miguel Ribeiro Tomé Tavares Bondoso, Göktan Gürpüz, Kevin Csoboth, Dennis Chessa. 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 Andreas Smed in 2026?▼
Players with a similar profile to Andreas Smed in 2026 include Emmanuel Iyoha (N/A), Francisco Miguel Ribeiro Tomé Tavares Bondoso (N/A), Göktan Gürpüz (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Andreas Smed play and who plays similarly?▼
Andreas Smed plays as a Attacker. Players with a comparable positional profile include Emmanuel Iyoha (Germany, N/A); Francisco Miguel Ribeiro Tomé Tavares Bondoso (Portugal, N/A); Göktan Gürpüz (Turkey, N/A); Kevin Csoboth (Hungary, 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.