AI DNA Similarity
Best Alternatives to Manfred Ugalde
Players most similar to Manfred Ugalde (Attacker, €14.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Manfred Ugalde
- 1.Jannik Holmsgaard Pohl81% DNA match·Hillerød
- 2.Nikola Gjorgjev82% DNA match·Farense
- 3.Fer Niño81% DNA match·Burgos
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
Dribbled PastTop 0%
???Bottom 0%
“Manfred Ugalde is a Forward....”
See Full Verdict + Share Card →Playing Style Analysis
Small Sample
Manfred Ugalde is a Forward. Versatile attacking option. Note: this profile is based on 470 minutes of playing time this season. The three most similar players to Manfred Ugalde by playing style are:
- Jannik Holmsgaard Pohl(81% match) — Jannik Pohl is a Forward. Versatile attacking option. Note: this profile is based on 498 minutes of playing time this season.
- Nikola Gjorgjev(82% match) — Nikola Gjorgjev is a Forward. Versatile attacking option. (Limited sample: 337 mins)
- Fer Niño(81% match) — A Target Man. Statistically, he stands out as a regular goalscorer (0.20 goals/90). Note: this profile is based on 879 minutes of playing time this season.
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
J
Jannik Holmsgaard Pohl
Hillerød · Superliga
Denmark30y
G/900.00
A/900.00
Small Sample
vs Ugalde: 7y older
81% match
N/A
#2
N
Nikola Gjorgjev
Farense · Liga Portugal
Switzerland28y
G/900.00
A/900.00
Small Sample
vs Ugalde: 5y older
82% match
N/A
#3
F
Fer Niño
Burgos · La Liga
Spain25y
G/900.23
A/900.00
Target ManSmall Sample
Last 5: → Stablevs Ugalde: 2y older · +0.13 G/90
81% match
N/A
#4
M
Manuel Torres
St Josephs FC · Bundesliga
Spain35y
G/900.00
A/900.24
Small Sample
82% match
N/A
#5
V
Vinicius Mingotti
Operário PR · Liga Portugal
Brazil26y
G/900.07
A/900.07
Small Sample
81% match
N/A
#6
R
Romano Postema
FC Emmen · Eredivisie
Netherlands24yContract 2026
G/900.69
A/900.23
80% match
N/A
#7
R
Rober González
NEC Nijmegen · Eredivisie
Spain25y
G/900.18
A/900.18
80% match
N/A
#8
E
Enzo Stroo
Lisse · Eredivisie
Netherlands31y
G/900.00
A/900.22
Small Sample
81% match
N/A
#9
M
Manuel Wintzheimer
Schweinfurt · Bundesliga
Germany27y
G/900.34
A/900.11
Complete ForwardSmall Sample
80% match
N/A
#10
A
Anders Holvad
Aarhus Fremad · Superliga
Denmark35y
G/900.23
A/900.00
Small Sample
Last 5: ↓ Dip80% match
N/A
#11
K
Kelvin John
Aalborg BK · Superliga
Tanzania22y
G/900.36
A/900.15
Small Sample
Last 5: ↓ Dip79% match
N/A
#12
M
Morgan Bokele
Metz · Ligue 1
France22y
G/900.00
A/900.00
Small Sample
80% 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 Manfred Ugalde.
Ask AI about Manfred Ugalde →Frequently Asked Questions
Who are the best alternatives to Manfred Ugalde?▼
The top alternatives to Manfred Ugalde based on AI DNA playing style analysis include: Jannik Holmsgaard Pohl, Nikola Gjorgjev, Fer Niño, Manuel Torres, Vinicius Mingotti. 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 Manfred Ugalde in 2026?▼
Players with a similar profile to Manfred Ugalde in 2026 include Jannik Holmsgaard Pohl (N/A), Nikola Gjorgjev (N/A), Fer Niño (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Manfred Ugalde play and who plays similarly?▼
Manfred Ugalde plays as a Attacker. Players with a comparable positional profile include Jannik Holmsgaard Pohl (Denmark, N/A); Nikola Gjorgjev (Switzerland, N/A); Fer Niño (Spain, N/A); Manuel Torres (Spain, 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.