AI DNA Similarity
Best Alternatives to Mathis Picouleau
Players most similar to Mathis Picouleau (Midfielder, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
A Balanced Midfielder in Coupe de France. Statistically, he stands out as active in the tackle (2.1 tackles/90). The three most similar players to Mathis Picouleau by playing style are:
- Loïc Goujon(98% match) — A Balanced Midfielder in Coupe de France. Statistically, he stands out as active in the tackle (2.4 tackles/90) and reads the game exceptionally (2.5 interceptions/90).
- Yassin Belkhdim(93% match) — A Balanced Midfielder in Ligue 1. Statistically, he stands out as an aggressive ball-winner (2.6 tackles/90) and active off the ball (2.4 press score/90), contributing to defensive transitions.
- Simon Ebonog(93% match) — A Balanced Midfielder in Ligue 1. Statistically, he stands out as active in the tackle (2.2 tackles/90) and active off the ball (3.0 press score/90), contributing to defensive transitions.
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
L
Loïc Goujon
Concarneau · Ligue 1
France30y
KP/900.79
G/900.00
Balanced Midfielder
98% match
N/A
#2
Y
Yassin Belkhdim
Angers SCO · Ligue 1
Morocco24yContract 2028
KP/900.64
G/900.09
Balanced MidfielderDefensive
Last 5: → Stable93% match
N/A
#3
S
Simon Ebonog
Le Havre · Ligue 1
France21yContract 2027
KP/900.37
G/900.00
Balanced Midfielder
Last 5: → Stable93% match
N/A
#4
Y
Yassine Kechta
Le Havre · Ligue 1
Morocco24yContract 2026
KP/900.83
G/900.08
Balanced Midfielder
Last 5: ↑ Hot93% match
N/A
#5
M
Margaux Le Mouël
Paris W · Ligue 1
France24y
KP/901.61
G/900.00
Balanced MidfielderSmall Sample
92% match
N/A
#6
F
Foued Kadir
Istres · La Liga
Algeria42y
KP/901.29
G/900.00
Box-to-BoxSmall Sample
92% match
N/A
#7
O
Océane Celia Picard
Paris W · Ligue 1
France23y
KP/900.91
G/900.00
Balanced MidfielderDefensive
92% match
N/A
#8
M
Morgan Sanson
Nice · Ligue 1
France31yContract 2027
KP/900.79
G/900.00
Balanced Midfielder
Last 5: ↓ Dip92% match
€4.0M
#9
A
Alexandre Vincent
Les Herbiers · Ligue 1
France31y
KP/900.00
G/900.12
91% match
N/A
#10
H
Hicham Boudaoui
Nice · Ligue 1
Algeria26yContract 2027
KP/900.97
G/900.07
Balanced Midfielder
Last 5: ↓ Dip91% match
€12.0M
#11
A
Alexis Vossah
Toulouse · Ligue 1
France18yContract 2028
KP/900.47
G/900.12
Balanced MidfielderSmall Sample
Last 5: → Stable91% match
€3.0M
#12
K
Khalis Merah
Olympique Lyonnais · Ligue 1
France19yContract 2029
KP/900.94
G/900.00
Balanced MidfielderSmall Sample
Last 5: ↓ Dip91% match
€8.0M
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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 Mathis Picouleau.
Ask AI about Mathis Picouleau →Frequently Asked Questions
Who are the best alternatives to Mathis Picouleau?▼
The top alternatives to Mathis Picouleau based on AI DNA playing style analysis include: Loïc Goujon, Yassin Belkhdim, Simon Ebonog, Yassine Kechta, Margaux Le Mouël. 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 Picouleau in 2026?▼
Players with a similar profile to Mathis Picouleau in 2026 include Loïc Goujon (N/A), Yassin Belkhdim (N/A), Simon Ebonog (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Mathis Picouleau play and who plays similarly?▼
Mathis Picouleau plays as a Midfielder. Players with a comparable positional profile include Loïc Goujon (France, N/A); Yassin Belkhdim (Morocco, N/A); Simon Ebonog (France, N/A); Yassine Kechta (Morocco, 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.