⬡ AI DNA · Live season

Leicester City· 2025/2026 · Championship · PARTIAL

Best Alternatives to Divine Mukasa

Attacking MidfieldEngland18y€3.0MFull profile →

CreatorCreativeSmall Sample

2.95KP/90

0.21G/90

0.32A/90

Based on 853 min · 2025/2026 · Championship · PARTIAL

Ranked by AI DNA similarity — playing style, pressing, and tactical fit. Below: the closest replacements with per-90 stats and form.

DNA matchPrioritizes Championship & top-tier peers

Top 3 alternatives to Divine Mukasa

Sofiane Boufal98% match
Le Havre · Ligue 1 · €6.0M
Jamal Musiala99% match
FC Bayern München · Bundesliga · €130.0M
Adil Aouchiche99% match
Schalke 04 · Bundesliga

Ranked by RT Player DNA + league/value credibility. Scroll for full list, per-90 stats, and share cards.

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Playing Style Analysis

CreatorCreativeSmall Sample

A Creator. Statistically, he stands out as an elite creator (3.0 key passes/90), a constant goal threat (2.7 shots/90), a regular goalscorer (0.21 goals/90), a prolific assist provider (0.32 assists/90), creates high-quality scoring opportunities (0.84 big chances/90), heavily involved in play (66 touches/90), active off the ball (2.4 press score/90), contributing to defensive transitions and top 10% creator in the league. However, he loses possession under pressure (2.0 dispossessed/90). The three closest DNA matches to Divine Mukasa:

Sofiane Boufal(98% match) — A Creator. Statistically, he stands out as an elite creator (2.4 key passes/90), a prolific assist provider (0.38 assists/90), a dynamic dribbler (2.4/90), active in the tackle (2.2 tackles/90), creates high-quality scoring opportunities (0.56 big chances/90), heavily involved in play (58 touches/90), draws fouls effectively (2.7/90), active off the ball (2.7 press score/90), contributing to defensive transitions and top 10% creator in the league.
Jamal Musiala(99% match) — A Creator. Statistically, he stands out as an elite creator (2.2 key passes/90), a constant goal threat (4.0 shots/90), a proven goalscorer (0.40 goals/90), a prolific assist provider (0.53 assists/90), a dynamic dribbler (2.8/90), heavily involved in play (66 touches/90), draws fouls effectively (2.4/90) and top 10% creator in the league.
Adil Aouchiche(99% match) — A Creator. Statistically, he stands out as an elite creator (3.8 key passes/90), a constant goal threat (3.3 shots/90), a regular goalscorer (0.24 goals/90), a reliable supplier (0.16 assists/90), creates high-quality scoring opportunities (0.88 big chances/90), delivers dangerous crosses (3.1 accurate crosses/90), heavily involved in play (66 touches/90), active off the ball (2.5 press score/90), contributing to defensive transitions and top 10% creator in the league.

Similarity uses per-90 performance across playing-style dimensions. How Player DNA matching works →

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Similar Players — Ranked by DNA Similarity

Le Havre · Ligue 1

CreatorCreativeSteady form

vs Mukasa: 14y older

98% match

€6.0M

Compare Mukasa vs Boufal →

Ask about replacements for Mukasa

Same DNA shortlist as above — budget fit, who to avoid, or why the top match works.

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Frequently Asked Questions

Who are the best alternatives to Divine Mukasa?▼

The top alternatives to Divine Mukasa based on AI DNA playing style analysis include: Sofiane Boufal, Jamal Musiala, Adil Aouchiche, Aarón Ochoa, Kevin De Bruyne . 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 Divine Mukasa in 2026?▼

Players with a similar profile to Divine Mukasa in 2026 include Sofiane Boufal (€6.0M), Jamal Musiala (€130.0M), Adil Aouchiche (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.

What position does Divine Mukasa play and who plays similarly?▼

Divine Mukasa plays as a Midfielder. Players with a comparable positional profile include Sofiane Boufal (Morocco, €6.0M); Jamal Musiala (Germany, €130.0M); Adil Aouchiche (France, N/A); Aarón Ochoa (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.

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