RisingTransfers
AI DNA Similarity

Best Alternatives to Jesse Lingard

Players most similar to Jesse Lingard (Midfielder, €2.3M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Jesse Lingard

  1. 1.James Maddison  88% DNA match·Tottenham Hotspur€30.0M
  2. 2.Sami Ouaissa85% DNA match·NEC Nijmegen
  3. 3.Thijs Muller86% DNA match·FC Eindhoven

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

RT

Intelligence Verdict

GoalsTop 0%

Jesse Lingard is a Creator....

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Playing Style Analysis

CreatorCreative

Jesse Lingard is a Creator. Playmaker unlocking defenses with key passes. Statistically, he stands out as an elite creator (3.0 key passes/90), a constant goal threat (3.5 shots/90), a regular goalscorer (0.35 goals/90), heavily involved in play (63 touches/90) and top 10% creator in the league. The three most similar players to Jesse Lingard by playing style are:

  • James Maddison  (88% match)James Maddison is a Creator. Playmaker unlocking defenses with key passes. Statistically, he stands out as an elite creator (2.1 key passes/90), a proven goalscorer (0.45 goals/90), a prolific assist provider (0.35 assists/90), meticulous in distribution (87% pass accuracy), penetrates with forward passing (8.6 final-third passes/90), central to possession (78 touches/90), draws fouls effectively (3.2/90) and top 10% creator in the league.
  • Sami Ouaissa(85% match)A Creator. Statistically, he stands out as an elite creator (1.8 key passes/90), a regular goalscorer (0.21 goals/90), a reliable supplier (0.21 assists/90), heavily involved in play (50 touches/90), active off the ball (2.1 press score/90), contributing to defensive transitions and top 20% creator in the league. However, he loses possession under pressure (1.5 dispossessed/90).
  • Thijs Muller(86% match)A Creator. Statistically, he stands out as an elite creator (2.0 key passes/90), a constant goal threat (3.5 shots/90), a regular goalscorer (0.31 goals/90), active in the tackle (1.9 tackles/90) and top 10% creator in the league.

Transfer Intelligence

James Maddison   delivers 88% of the same playing style, at a 1204% premium over Jesse Lingard, with 2.12 key passes per 90 at age 29.

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

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Comparison Base
Jesse Lingard
MidfielderEngland€2.3M
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 Jesse Lingard.

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Frequently Asked Questions

Who are the best alternatives to Jesse Lingard?
The top alternatives to Jesse Lingard based on AI DNA playing style analysis include: James Maddison  , Sami Ouaissa, Thijs Muller, Lander Astiazaran, Mathias Kubel. 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 Jesse Lingard in 2026?
Players with a similar profile to Jesse Lingard in 2026 include James Maddison   (€30.0M), Sami Ouaissa (N/A), Thijs Muller (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Jesse Lingard play and who plays similarly?
Jesse Lingard plays as a Midfielder. Players with a comparable positional profile include James Maddison   (England, €30.0M); Sami Ouaissa (Netherlands, N/A); Thijs Muller (Netherlands, N/A); Lander Astiazaran (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.