RisingTransfers
AI DNA Similarity

Best Alternatives to Abdou Harroui

Players most similar to Abdou Harroui (Midfielder, €1.8M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Abdou Harroui

  1. 1.Jari Vandeputte86% DNA match·Cremonese€3.3M
  2. 2.Mikael Egill Ellertsson85% DNA match·Genoa€3.5M
  3. 3.Amine Harit85% DNA match·İstanbul Başakşehir€5.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 0%

A Creator....

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Playing Style Analysis

CreatorDefensiveSmall Sample

A Creator. Statistically, he stands out as comfortable with both feet, a capable chance creator (1.5 key passes/90), an aggressive ball-winner (2.6 tackles/90), heavily involved in play (61 touches/90) and active off the ball (2.5 press score/90), contributing to defensive transitions. However, he loses possession under pressure (1.8 dispossessed/90) and prone to committing fouls (2.9/90). The three most similar players to Abdou Harroui by playing style are:

  • Jari Vandeputte(86% match)A Creator. Statistically, he stands out as an elite creator (3.0 key passes/90), a prolific assist provider (0.29 assists/90), creates high-quality scoring opportunities (0.68 big chances/90), penetrates with forward passing (9.7 final-third passes/90), heavily involved in play (70 touches/90), uses long balls frequently (6.1/90), active off the ball (2.5 press score/90), contributing to defensive transitions and top 10% creator in the league.
  • Mikael Egill Ellertsson(85% match)A Balanced Midfielder. Statistically, he stands out as naturally left-footed.
  • Amine Harit(85% match)Harit is the kind of midfielder who makes defences nervous before he even touches the ball—a dribbler and chance-creator operating at the very top of the Super Lig's distribution curve. His 2.54 key passes per 90 and 2.70 dribbles per 90 both land in the top 5% of his position in this league, which tells you he isn't just circulating possession—he's consistently breaking lines and manufacturing openings. The counterintuitive detail: his modest tackles won rate actually masks a surprisingly active defensive contribution, with press intensity and interceptions both sitting above the league median.

Transfer Intelligence

Jari Vandeputte delivers 86% of the same playing style, at a 83% premium over Abdou Harroui, with 3.00 key passes per 90 at age 30.

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

A
Comparison Base
Abdou Harroui
MidfielderMorocco€1.8M
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Similar Players — Ranked by DNA Similarity

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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 Abdou Harroui.

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Frequently Asked Questions

Who are the best alternatives to Abdou Harroui?
The top alternatives to Abdou Harroui based on AI DNA playing style analysis include: Jari Vandeputte, Mikael Egill Ellertsson, Amine Harit, Matteo Tramoni, Ramiz Zerrouki. 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 Abdou Harroui in 2026?
Players with a similar profile to Abdou Harroui in 2026 include Jari Vandeputte (€3.3M), Mikael Egill Ellertsson (€3.5M), Amine Harit (€5.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Abdou Harroui play and who plays similarly?
Abdou Harroui plays as a Midfielder. Players with a comparable positional profile include Jari Vandeputte (Belgium, €3.3M); Mikael Egill Ellertsson (Iceland, €3.5M); Amine Harit (Morocco, €5.0M); Matteo Tramoni (France, €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.