RisingTransfers
AI DNA Similarity

Best Alternatives to Mathias Delorge

Players most similar to Mathias Delorge (Midfielder, €3.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Mathias Delorge

  1. 1.Karim Dermane86% DNA match·Lorient€3.0M
  2. 2.Mario Dorgeles86% DNA match·Sporting Braga€10.0M
  3. 3.Maxi Oyedele85% DNA match·Strasbourg€4.0M

Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 0%

A Metronome....

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Playing Style Analysis

Metronome

A Metronome. Statistically, he stands out as a reliable supplier (0.17 assists/90), meticulous in distribution (87% pass accuracy), heavily involved in possession (63 passes/90), central to possession (77 touches/90), switches play with precision (7.2 long balls/90, 74% accuracy) and active off the ball (2.8 press score/90), contributing to defensive transitions. The three most similar players to Mathias Delorge by playing style are:

  • Karim Dermane(86% match)A Creator. Statistically, he stands out as a reliable supplier (0.15 assists/90), heavily involved in play (52 touches/90), draws fouls effectively (2.6/90) and active off the ball (2.9 press score/90), contributing to defensive transitions. However, he loses possession under pressure (1.7 dispossessed/90).
  • Mario Dorgeles(86% match)A Metronome. Statistically, he stands out as naturally left-footed, an elite creator (1.6 key passes/90), meticulous in distribution (89% pass accuracy), wins the physical battle (57% duel success), central to possession (78 touches/90) and top 20% creator in the league.
  • Maxi Oyedele(85% match)Oyedele is a ground-level disruptor masquerading as a deep-lying playmaker, currently operating as a high-efficiency defensive anchor for a struggling Ligue 1 side. While his 76.3% pass accuracy suggests technical fragility, the reality is far more nuanced; his top 5% ranking for assists per 90 reveals a high-risk, high-reward verticality that prioritizes line-breaking over safety. Defensively, he is an elite hunter on the deck, winning 64.3% of his duels—a figure that places him among the league's most effective ball-winners—supplemented by interceptions that rank in the top 10%.

Transfer Intelligence

Karim Dermane delivers 86% of the same playing style, at 14% lower cost (€3.0M vs €3.5M), with 0.86 key passes per 90 at age 22.

Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →

M
Comparison Base
Mathias Delorge
MidfielderBelgium€3.5M
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Similar Players — Ranked by DNA Similarity

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 Mathias Delorge.

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Frequently Asked Questions

Who are the best alternatives to Mathias Delorge?
The top alternatives to Mathias Delorge based on AI DNA playing style analysis include: Karim Dermane, Mario Dorgeles, Maxi Oyedele, Niklas Dorsch, Carlos Dotor. 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 Mathias Delorge in 2026?
Players with a similar profile to Mathias Delorge in 2026 include Karim Dermane (€3.0M), Mario Dorgeles (€10.0M), Maxi Oyedele (€4.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Mathias Delorge play and who plays similarly?
Mathias Delorge plays as a Midfielder. Players with a comparable positional profile include Karim Dermane (Togo, €3.0M); Mario Dorgeles (Ivory Coast, €10.0M); Maxi Oyedele (Poland, €4.0M); Niklas Dorsch (Germany, €3.0M).
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.