AI DNA Similarity
Best Alternatives to Mathis Suray
Players most similar to Mathis Suray (Attacker, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
A Inside Forward. Statistically, he stands out as a proven goalscorer (0.43 goals/90) and top 20% scorer in the league. The three most similar players to Mathis Suray by playing style are:
- Hugo Deenen(100% match) — A Inside Forward. Statistically, he stands out as a proven goalscorer (0.58 goals/90) and top 20% scorer in the league.
- Tadeo Allende(99% match) — A Inside Forward. Statistically, he stands out as a proven goalscorer (0.67 goals/90) and top 10% scorer in the league.
- Jorge de Frutos(98% match) — A Inside Forward. Statistically, he stands out as a capable chance creator (1.1 key passes/90), a proven goalscorer (0.47 goals/90) and top 20% scorer in the league.
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
H
Hugo Deenen
FC Eindhoven · Eredivisie
Netherlands21y
G/900.58
A/900.00
Inside ForwardProlific
100% match
N/A
#2
T
Tadeo Allende
Inter Miami · La Liga
Argentina27yContract 2030
G/900.67
A/900.07
Inside ForwardProlific
Last 5: ↓ Dip99% match
€5.0M
#3
J
Jorge de Frutos
Rayo Vallecano · La Liga
Spain29yContract 2028
G/900.47
A/900.05
Inside ForwardProlific
Last 5: ↓ Dip98% match
€12.0M
#4
M
Martial Godo
Strasbourg · Ligue 1
England23yContract 2030
G/900.53
A/900.08
Inside ForwardProlific
Last 5: ↓ Dip98% match
€7.0M
#5
R
Rafael Leão
AC Milan · Serie A
Portugal26yContract 2028
G/900.54
A/900.12
Inside ForwardProlific
Last 5: → Stable98% match
€70.0M
#6
O
Oumar Camara
Vitória Guimarães · Liga Portugal
France18yContract 2029
G/900.32
A/900.08
Inside Forward
Last 5: ↓ Dip97% match
N/A
#7
D
Domenico Berardi
Sassuolo · Serie A
Italy31yContract 2027
G/900.40
A/900.23
Inside ForwardProlific
Last 5: → Stable97% match
€7.5M
#8
J
Jeremy Sarmiento
Middlesbrough · Serie A
Ecuador23y
G/900.31
A/900.00
Inside Forward
Last 5: ↓ Dip97% match
N/A
#9
A
Antoine Semenyo
Manchester City · Premier League
England26yContract 2031
G/900.50
A/900.15
Inside ForwardProlific
Last 5: ↓ Dip96% match
€65.0M
#10
P
Pablo Pagis
Lorient · Ligue 1
France23yContract 2027
G/900.56
A/900.07
Inside ForwardProlific
Last 5: ↑ Hot97% match
€5.0M
#11
G
Gonçalo Guedes
Real Sociedad · La Liga
Portugal29yContract 2028
G/900.43
A/900.21
Inside ForwardProlific
Last 5: → Stable96% match
€6.0M
#12
B
Borja Sainz
Porto · Liga Portugal
Spain25yContract 2030
G/900.32
A/900.13
Inside Forward
Last 5: ↓ Dip96% match
€23.0M
⬡
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 Mathis Suray.
Ask AI about Mathis Suray →Frequently Asked Questions
Who are the best alternatives to Mathis Suray?▼
The top alternatives to Mathis Suray based on AI DNA playing style analysis include: Hugo Deenen, Tadeo Allende, Jorge de Frutos, Martial Godo, Rafael Leão. 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 Mathis Suray in 2026?▼
Players with a similar profile to Mathis Suray in 2026 include Hugo Deenen (N/A), Tadeo Allende (€5.0M), Jorge de Frutos (€12.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Mathis Suray play and who plays similarly?▼
Mathis Suray plays as a Attacker. Players with a comparable positional profile include Hugo Deenen (Netherlands, N/A); Tadeo Allende (Argentina, €5.0M); Jorge de Frutos (Spain, €12.0M); Martial Godo (England, €7.0M).
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.