RisingTransfers
AI DNA Similarity

Best Alternatives to Majeed Ashimeru

Players most similar to Majeed Ashimeru (Midfielder, €1.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Majeed Ashimeru

  1. 1.Ibrahim Sulemana89% DNA match·Cagliari€6.0M
  2. 2.Seko Fofana88% DNA match·Porto€8.0M
  3. 3.Manu Molina88% DNA match·Eldense

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

MetronomeSmall Sample

A Metronome. Statistically, he stands out as a capable chance creator (1.4 key passes/90), a reliable supplier (0.16 assists/90), active in the tackle (2.5 tackles/90), meticulous in distribution (90% pass accuracy), creates high-quality scoring opportunities (0.62 big chances/90), central to possession (76 touches/90) and draws fouls effectively (3.3/90). However, he loses possession under pressure (2.2 dispossessed/90). The three most similar players to Majeed Ashimeru by playing style are:

  • Ibrahim Sulemana(89% match)Ibrahim Sulemana is a Metronome. Possession anchor who dictates tempo. Statistically, he stands out as a proven goalscorer (0.64 goals/90), an aggressive ball-winner (2.9 tackles/90), meticulous in distribution (88% pass accuracy), wins the physical battle (57% duel success), heavily involved in play (69 touches/90) and top 10% tackler in the league. (Limited sample: 282 mins)
  • Seko Fofana(88% 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.
  • Manu Molina(88% match)A Metronome. Statistically, he stands out as a capable chance creator (1.2 key passes/90), wins the physical battle (60% duel success), heavily involved in possession (64 passes/90), central to possession (79 touches/90) and switches play with precision (9.3 long balls/90, 70% accuracy).

Transfer Intelligence

Ibrahim Sulemana delivers 89% of the same playing style, at a 300% premium over Majeed Ashimeru, with 0.74 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
Majeed Ashimeru
MidfielderGhana€1.5M
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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 Majeed Ashimeru.

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Frequently Asked Questions

Who are the best alternatives to Majeed Ashimeru?
The top alternatives to Majeed Ashimeru based on AI DNA playing style analysis include: Ibrahim Sulemana, Seko Fofana, Manu Molina, Robert Kakeeto, Nicolai Poulsen. 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 Majeed Ashimeru in 2026?
Players with a similar profile to Majeed Ashimeru in 2026 include Ibrahim Sulemana (€6.0M), Seko Fofana (€8.0M), Manu Molina (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Majeed Ashimeru play and who plays similarly?
Majeed Ashimeru plays as a Midfielder. Players with a comparable positional profile include Ibrahim Sulemana (Ghana, €6.0M); Seko Fofana (Ivory Coast, €8.0M); Manu Molina (Spain, N/A); Robert Kakeeto (Uganda, 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.