RisingTransfers
AI DNA Similarity

Best Alternatives to Zine Eddine Derrag

Players most similar to Zine Eddine Derrag (Midfielder, €172K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Zine Eddine Derrag

  1. 1.Diego Demme88% DNA match·Hertha BSC€10.3M
  2. 2.Seko Fofana87% DNA match·Porto€8.0M
  3. 3.Robert Kakeeto87% DNA match·Middelfart

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 0%

Zine Eddine Derrag is a Balanced Midfielder....

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Playing Style Analysis

Zine Eddine Derrag is a Balanced Midfielder. Well-rounded midfielder contributing in multiple phases. Statistically, he stands out as reads the game exceptionally (2.1 interceptions/90), meticulous in distribution (88% pass accuracy), heavily involved in play (59 touches/90) and switches play with precision (5.1 long balls/90, 69% accuracy). The three most similar players to Zine Eddine Derrag by playing style are:

  • Diego Demme(88% match)Diego Demme is a Metronome. Possession anchor who dictates tempo. Statistically, he stands out as an aggressive ball-winner (3.0 tackles/90), meticulous in distribution (87% pass accuracy), heavily involved in possession (81 passes/90) and top 10% tackler in the league.
  • Seko Fofana(87% match)A Metronome. Statistically, he stands out as a capable chance creator (1.4 key passes/90), a constant goal threat (2.6 shots/90), meticulous in distribution (91% pass accuracy), central to possession (72 touches/90) and active off the ball (2.2 press score/90), contributing to defensive transitions. Note: this profile is based on 845 minutes of playing time this season.
  • Robert Kakeeto(87% match)Robert Kakeeto is a Metronome. Possession anchor who dictates tempo. Statistically, he stands out as an aggressive ball-winner (2.9 tackles/90), reads the game exceptionally (1.7 interceptions/90) and heavily involved in possession (61 passes/90).

Transfer Intelligence

Diego Demme delivers 88% of the same playing style, at a 5859% premium over Zine Eddine Derrag, with 1.19 key passes per 90 at age 34.

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

Z
Comparison Base
Zine Eddine Derrag
MidfielderMorocco€172K
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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 Zine Eddine Derrag.

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Frequently Asked Questions

Who are the best alternatives to Zine Eddine Derrag?
The top alternatives to Zine Eddine Derrag based on AI DNA playing style analysis include: Diego Demme, Seko Fofana, Robert Kakeeto, Manu Trigueros, Jeppe Andersen. 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 Zine Eddine Derrag in 2026?
Players with a similar profile to Zine Eddine Derrag in 2026 include Diego Demme (€10.3M), Seko Fofana (€8.0M), Robert Kakeeto (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Zine Eddine Derrag play and who plays similarly?
Zine Eddine Derrag plays as a Midfielder. Players with a comparable positional profile include Diego Demme (Germany, €10.3M); Seko Fofana (Ivory Coast, €8.0M); Robert Kakeeto (Uganda, N/A); Manu Trigueros (Spain, 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.