AI DNA Similarity
Best Alternatives to Paddy Madden
Players most similar to Paddy Madden (Attacker, €170K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Paddy Madden
- 1.Jamie Vardy100% DNA match·Cremonese
- 2.P. Peter100% DNA match·Angers SCO
- 3.Sterling Yateke98% DNA match·Kolding IF
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
Target Man
A Target Man. Statistically, he stands out as a regular goalscorer (0.26 goals/90). The three most similar players to Paddy Madden by playing style are:
- Jamie Vardy(100% match) — A Complete Forward. Statistically, he stands out as a regular goalscorer (0.34 goals/90).
- P. Peter(100% match) — A Target Man. Statistically, he stands out as a regular goalscorer (0.38 goals/90) and draws fouls effectively (2.1/90). However, he loses possession under pressure (1.6 dispossessed/90).
- Sterling Yateke(98% match) — A Target Man. Statistically, he stands out as a regular goalscorer (0.32 goals/90) and strong in aerial duels (3.0 aerials won/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
J
Jamie Vardy
Cremonese · Serie A
England39y
G/900.34
A/900.07
Complete Forward
Last 5: ↑ Hotvs Madden: 3y older · +0.09 G/90
100% match
N/A
#2
P
P. Peter
Angers SCO · Ligue 1
France18y
G/900.24
A/900.00
Target Man
vs Madden: 18y younger
100% match
N/A
#3
S
Sterling Yateke
Kolding IF · Superliga
Central African Republic26y
G/901.22
A/900.00
Target Man
vs Madden: 10y younger · +0.96 G/90
98% match
N/A
#4
D
Dawda Camara
Girona · La Liga
Mauritania23y
G/900.38
A/900.00
Target Man
Last 5: ↓ Dip98% match
N/A
#5
F
Felix Higl
SpVgg Greuther Fürth · Bundesliga
Germany29y
G/900.28
A/900.11
Target Man
Last 5: ↓ Dip98% match
N/A
#6
D
Darío Poveda
Farense · Liga Portugal
Spain29y
G/900.36
A/900.09
Target Man
98% match
N/A
#7
I
Isak Frederik Tånnander
Kolding IF · Superliga
Denmark24y
G/900.41
A/900.00
Target Man
Last 5: ↓ Dip97% match
N/A
#8
T
Thom van Bergen
FC Groningen · Eredivisie
Netherlands22y
G/900.28
A/900.13
Target Man
Last 5: → Stable97% match
N/A
#9
T
Tijmen Wildeboer
TOP Oss · Eredivisie
Netherlands24yContract 2026
G/900.14
A/900.00
Target Man
Last 5: ↑ Hot97% match
N/A
#10
A
Anthony van den Hurk
Roda JC Kerkrade · Eredivisie
Curaçao33y
G/900.35
A/900.23
Target ManProlific
Last 5: ↑ Hot96% match
N/A
#11
R
Rafiu Durosinmi
Pisa · Serie A
Nigeria23yContract 2030
G/900.60
A/900.00
Target ManProlific
96% match
€7.5M
#12
Í
Ísak Snaer Thorvaldsson
Lyngby Boldklub · Superliga
Iceland25y
G/900.59
A/900.23
Target ManProlific
Last 5: ↓ Dip96% 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 Paddy Madden.
Ask AI about Paddy Madden →Frequently Asked Questions
Who are the best alternatives to Paddy Madden?▼
The top alternatives to Paddy Madden based on AI DNA playing style analysis include: Jamie Vardy, P. Peter, Sterling Yateke, Dawda Camara, Felix Higl. 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 Paddy Madden in 2026?▼
Players with a similar profile to Paddy Madden in 2026 include Jamie Vardy (N/A), P. Peter (N/A), Sterling Yateke (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Paddy Madden play and who plays similarly?▼
Paddy Madden plays as a Attacker. Players with a comparable positional profile include Jamie Vardy (England, N/A); P. Peter (France, N/A); Sterling Yateke (Central African Republic, N/A); Dawda Camara (Mauritania, 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.