RisingTransfers
AI DNA Similarity

Best Alternatives to Hamzat Ojediran

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

Top 3 Alternatives to Hamzat Ojediran

  1. 1.Marcus Bonde97% DNA match·Aalborg BK
  2. 2.Pedro Santos97% DNA match·Arouca
  3. 3.Kai Klefisch97% DNA match·Darmstadt 98

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

RT

Intelligence Verdict

Press IntensityTop 12%
???Bottom 22%

A Metronome....

See Full Verdict + Share Card →

Playing Style Analysis

MetronomeSmall Sample

A Metronome. Statistically, he stands out as active in the tackle (2.4 tackles/90), meticulous in distribution (92% pass accuracy), heavily involved in possession (61 passes/90), central to possession (76 touches/90) and active off the ball (2.9 press score/90), contributing to defensive transitions. However, he prone to committing fouls (2.6/90). The three most similar players to Hamzat Ojediran by playing style are:

  • Marcus Bonde(97% match)A Metronome. Statistically, he stands out as an aggressive ball-winner (2.6 tackles/90), meticulous in distribution (86% pass accuracy), wins the physical battle (56% duel success), heavily involved in possession (76 passes/90), penetrates with forward passing (9.9 final-third passes/90), central to possession (92 touches/90) and uses long balls frequently (5.3/90). Note: this profile is based on 648 minutes of playing time this season.
  • Pedro Santos(97% match)A Metronome. Statistically, he stands out as active in the tackle (2.1 tackles/90), meticulous in distribution (91% pass accuracy), heavily involved in possession (68 passes/90), penetrates with forward passing (11.3 final-third passes/90), central to possession (80 touches/90), uses long balls frequently (7.6/90) and a high-intensity presser (press score 3.2/90), constantly disrupting opposition build-up. Note: this profile is based on 756 minutes of playing time this season.
  • Kai Klefisch(97% match)A Metronome. Statistically, he stands out as active in the tackle (1.9 tackles/90), meticulous in distribution (89% pass accuracy), wins the physical battle (58% duel success), heavily involved in possession (61 passes/90), central to possession (74 touches/90), uses long balls frequently (5.3/90) and active off the ball (2.7 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 →

H
Comparison Base
Hamzat Ojediran
MidfielderNigeria€1.5M
Full profile →

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 Hamzat Ojediran.

Ask AI about Hamzat Ojediran

Frequently Asked Questions

Who are the best alternatives to Hamzat Ojediran?
The top alternatives to Hamzat Ojediran based on AI DNA playing style analysis include: Marcus Bonde, Pedro Santos, Kai Klefisch, Himad Abdelli, Mees Hoedemakers. 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 Hamzat Ojediran in 2026?
Players with a similar profile to Hamzat Ojediran in 2026 include Marcus Bonde (N/A), Pedro Santos (N/A), Kai Klefisch (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Hamzat Ojediran play and who plays similarly?
Hamzat Ojediran plays as a Midfielder. Players with a comparable positional profile include Marcus Bonde (Denmark, N/A); Pedro Santos (Portugal, N/A); Kai Klefisch (Germany, N/A); Himad Abdelli (Algeria, 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.