RisingTransfers
AI DNA Similarity

Best Alternatives to Ibrahim Sulemana

Players most similar to Ibrahim Sulemana (Midfielder, €6.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Ibrahim Sulemana

  1. 1.Seko Fofana88% DNA match·Porto€8.0M
  2. 2.Stephen Eustaquio86% DNA match·Los Angeles FC€7.0M
  3. 3.Robert Kakeeto86% 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%

Ibrahim Sulemana is a Metronome....

See Full Verdict + Share Card →

Playing Style Analysis

MetronomeDefensiveSmall Sample

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) The three most similar players to Ibrahim Sulemana by playing style are:

  • 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.
  • Stephen Eustaquio(86% match)A Metronome. Statistically, he stands out as active in the tackle (2.5 tackles/90), meticulous in distribution (89% pass accuracy), heavily involved in possession (65 passes/90), creates high-quality scoring opportunities (0.57 big chances/90) and central to possession (78 touches/90).
  • Robert Kakeeto(86% 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

Seko Fofana delivers 88% of the same playing style, at a 33% premium over Ibrahim Sulemana, with 2.56 key passes per 90 at age 31.

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

I
Comparison Base
Ibrahim Sulemana
MidfielderGhana€6.0M
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 Ibrahim Sulemana.

Ask AI about Ibrahim Sulemana

Frequently Asked Questions

Who are the best alternatives to Ibrahim Sulemana?
The top alternatives to Ibrahim Sulemana based on AI DNA playing style analysis include: Seko Fofana, Stephen Eustaquio, Robert Kakeeto, Manu Molina, Nicolò Rovella . 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 Ibrahim Sulemana in 2026?
Players with a similar profile to Ibrahim Sulemana in 2026 include Seko Fofana (€8.0M), Stephen Eustaquio (€7.0M), 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 Ibrahim Sulemana play and who plays similarly?
Ibrahim Sulemana plays as a Midfielder. Players with a comparable positional profile include Seko Fofana (Ivory Coast, €8.0M); Stephen Eustaquio (Canada, €7.0M); Robert Kakeeto (Uganda, N/A); Manu Molina (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.