AI DNA Similarity
Best Alternatives to Mael Corboz
Players most similar to Mael Corboz (Midfielder, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
A Balanced Midfielder. Statistically, he stands out as active in the tackle (1.9 tackles/90) and active off the ball (2.1 press score/90), contributing to defensive transitions. The three most similar players to Mael Corboz by playing style are:
- Jaume Grau Ciscar(100% match) — A Balanced Midfielder. Statistically, he stands out as active in the tackle (2.0 tackles/90) and active off the ball (2.2 press score/90), contributing to defensive transitions.
- Soner Dikmen(99% match) — A Balanced Midfielder. Statistically, he stands out as active off the ball (2.2 press score/90), contributing to defensive transitions.
- Morgan Sanson(99% match) — A Balanced Midfielder. Statistically, he stands out as active off the ball (2.3 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
J
Jaume Grau Ciscar
AVS · Liga Portugal
Spain28yContract 2026
KP/900.27
G/900.00
Balanced Midfielder
Last 5: ↑ Hot100% match
N/A
#2
S
Soner Dikmen
Antalyaspor · Super Lig
Turkey32yContract 2026
KP/900.29
G/900.17
Balanced Midfielder
Last 5: ↓ Dip99% match
N/A
#3
M
Morgan Sanson
Nice · Ligue 1
France31yContract 2027
KP/900.79
G/900.00
Balanced Midfielder
Last 5: ↓ Dip99% match
€4.0M
#4
J
Jakub Piotrowski
Udinese · Serie A
Poland28yContract 2029
KP/900.75
G/900.07
Balanced MidfielderDefensive
Last 5: ↓ Dip99% match
€4.5M
#5
O
Oğuz Yıldırım
Ümraniyespor · Super Lig
Turkey31yContract 2025
KP/900.57
G/900.06
Balanced Midfielder
Last 5: ↓ Dip98% match
N/A
#6
T
Tommaso Pobega
Bologna · Serie A
Italy26yContract 2026
KP/900.48
G/900.16
Balanced Midfielder
Last 5: ↓ Dip98% match
€9.0M
#7
P
Pedro Díaz
Rayo Vallecano · La Liga
Spain27yContract 2028
KP/901.30
G/900.00
Balanced Midfielder
Last 5: ↓ Dip98% match
€3.0M
#8
M
Marvin Schulz
Preußen Münster · Bundesliga
Germany31y
KP/900.91
G/900.09
Balanced Midfielder
Last 5: ↑ Hot98% match
N/A
#9
J
Josh Cullen
Burnley · Premier League
Republic of Ireland29yContract 2027
KP/900.77
G/900.12
Balanced Midfielder
97% match
€6.0M
#10
M
Mathis Picouleau
Concarneau · Ligue 1
France25y
KP/900.78
G/900.06
Balanced Midfielder
97% match
N/A
#11
S
Suat Serdar
Hellas Verona · Serie A
Germany28yContract 2028
KP/901.06
G/900.16
Balanced MidfielderDefensive
97% match
€4.5M
#12
M
Marc Roca
Real Betis · La Liga
Spain29yContract 2029
KP/900.77
G/900.00
Balanced Midfielder
Last 5: ↑ Hot97% match
€4.0M
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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 Mael Corboz.
Ask AI about Mael Corboz →Frequently Asked Questions
Who are the best alternatives to Mael Corboz?▼
The top alternatives to Mael Corboz based on AI DNA playing style analysis include: Jaume Grau Ciscar, Soner Dikmen, Morgan Sanson, Jakub Piotrowski, Oğuz Yıldırım. 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 Mael Corboz in 2026?▼
Players with a similar profile to Mael Corboz in 2026 include Jaume Grau Ciscar (N/A), Soner Dikmen (N/A), Morgan Sanson (€4.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Mael Corboz play and who plays similarly?▼
Mael Corboz plays as a Midfielder. Players with a comparable positional profile include Jaume Grau Ciscar (Spain, N/A); Soner Dikmen (Turkey, N/A); Morgan Sanson (France, €4.0M); Jakub Piotrowski (Poland, €4.5M).
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.