RisingTransfers
⬡ AI DNA · Live season
Crystal Palace

Best Alternatives to Nathaniel Clyne

Right BackEngland35y€500KFull profile →
Active Full-BackSmall Sample
2.41Tkl/90
0.45KP/90

Based on 597 min · 2025/2026 · Premier League · PARTIAL

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

DNA matchPrioritizes Premier League & top-tier peers

Top 3 alternatives to Nathaniel Clyne

  1. Ben White97% match

    Arsenal · Premier League · €30.0M

  2. J. Timber80% match

    Arsenal · Premier League · €70.0M

  3. Reece James80% match

    Chelsea · Premier League · €60.0M

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

Active Full-BackSmall Sample

A Active Full-Back. Statistically, he stands out as a reliable supplier (0.15 assists/90), active in the tackle (2.4 tackles/90) and wins the physical battle (57% duel success). Note: this profile is based on 597 minutes of playing time this season. The three closest DNA matches to Nathaniel Clyne:

  • Ben White(97% match) A Active Full-Back. Statistically, he stands out as a capable chance creator (1.0 key passes/90), active in the tackle (1.9 tackles/90), wins the physical battle (57% duel success), penetrates with forward passing (8.0 final-third passes/90) and active off the ball (2.1 press score/90), contributing to defensive transitions.
  • J. Timber(80% match) A Active Full-Back. Statistically, he stands out as a reliable supplier (0.18 assists/90), active in the tackle (2.4 tackles/90), meticulous in distribution (85% pass accuracy), wins the physical battle (58% duel success) and active off the ball (2.1 press score/90), contributing to defensive transitions.
  • Reece James(80% match) A Active Full-Back. Statistically, he stands out as a capable chance creator (1.2 key passes/90), a reliable supplier (0.18 assists/90), active in the tackle (2.2 tackles/90), reads the game exceptionally (1.5 interceptions/90), meticulous in distribution (89% pass accuracy), wins the physical battle (61% duel success), heavily involved in possession (61 passes/90), central to possession (85 touches/90) and active off the ball (2.7 press score/90), contributing to defensive transitions.

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

Comparison Base
Nathaniel Clyne
DefenderEnglandPremier League€500K

Similar Players — Ranked by DNA Similarity

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Top 8 shown first · 16 total ranked by DNA + league fit.

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Download RT stat cards for Nathaniel Clyne vs Ben White, J. Timber, and Reece James. Post to X or WhatsApp — DNA + season totals from RT.

Nathaniel Clyne RT player card

Source · Nathaniel Clyne

Ben White RT player card

Alt · Ben White

J. Timber RT player card

Alt · J. Timber

Reece James RT player card

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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 Nathaniel Clyne?
The top alternatives to Nathaniel Clyne based on AI DNA playing style analysis include: Ben White, J. Timber, Reece James, Matheus Nunes, Pedro Porro . 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 Nathaniel Clyne in 2026?
Players with a similar profile to Nathaniel Clyne in 2026 include Ben White (€30.0M), J. Timber (€70.0M), Reece James (€60.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Nathaniel Clyne play and who plays similarly?
Nathaniel Clyne plays as a Defender. Players with a comparable positional profile include Ben White (England, €30.0M); J. Timber (Netherlands, €70.0M); Reece James (England, €60.0M); Matheus Nunes (Portugal, €45.0M).
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.