RisingTransfers
⬡ AI DNA · Live season
Leeds United

Best Alternatives to Sam Byram

Left BackEngland32y€600KFull profile →
2.11Tkl/90
0.35KP/90

Based on 1,024 min · 2021/2022 · Premier League · FULL

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 Sam Byram

  1. Marc Cucurella80% match

    Chelsea · Premier League · €50.0M

  2. Riccardo Calafiori80% match

    Arsenal · Premier League · €50.0M

  3. Rayan Aït-Nouri80% match

    Manchester City · Premier League · €40.0M

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

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Intelligence Verdict

InterceptionsTop 9%
???Bottom 0%

Sam Byram is a Defender....

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Playing Style Analysis

Sam Byram is a Defender. Solid defensive option. Statistically, he stands out as active in the tackle (2.1 tackles/90) and reads the game exceptionally (1.9 interceptions/90). The three closest DNA matches to Sam Byram:

  • Marc Cucurella(80% match) A Active Full-Back. Statistically, he stands out as naturally left-footed, a capable chance creator (1.3 key passes/90), active in the tackle (1.9 tackles/90), meticulous in distribution (88% pass accuracy) and active off the ball (2.2 press score/90), contributing to defensive transitions.
  • Riccardo Calafiori(80% match) A Active Full-Back. Statistically, he stands out as naturally left-footed, meticulous in distribution (86% pass accuracy), wins the physical battle (58% duel success) and active off the ball (2.1 press score/90), contributing to defensive transitions.
  • Rayan Aït-Nouri(80% match) A Active Full-Back. Statistically, he stands out as naturally left-footed, a capable chance creator (1.1 key passes/90), a reliable supplier (0.18 assists/90), a dynamic dribbler (2.1/90), an aggressive ball-winner (3.2 tackles/90), meticulous in distribution (90% pass accuracy), wins the physical battle (58% duel success), wins the ball cleanly (1.9 successful tackles/90), central to possession (81 touches/90), active off the ball (2.7 press score/90), contributing to defensive transitions and top 10% tackler in the league.

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

Comparison Base
Sam Byram
DefenderEnglandPremier League€600K

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 Sam Byram vs Marc Cucurella, Riccardo Calafiori, and Rayan Aït-Nouri. Post to X or WhatsApp — DNA + season totals from RT.

Sam Byram RT player card

Source · Sam Byram

Marc Cucurella RT player card

Alt · Marc Cucurella

Riccardo Calafiori RT player card

Alt · Riccardo Calafiori

Rayan Aït-Nouri RT player card

Alt · Rayan Aït-Nouri

Want a deeper take? Scroll to Ask RT below — same shortlist, multi-turn chat.

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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 Sam Byram?
The top alternatives to Sam Byram based on AI DNA playing style analysis include: Marc Cucurella, Riccardo Calafiori, Rayan Aït-Nouri, Milos Kerkez, Nico O'Reilly. 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 Sam Byram in 2026?
Players with a similar profile to Sam Byram in 2026 include Marc Cucurella (€50.0M), Riccardo Calafiori (€50.0M), Rayan Aït-Nouri (€40.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Sam Byram play and who plays similarly?
Sam Byram plays as a Defender. Players with a comparable positional profile include Marc Cucurella (Spain, €50.0M); Riccardo Calafiori (Italy, €50.0M); Rayan Aït-Nouri (Algeria, €40.0M); Milos Kerkez (Hungary, €40.0M).
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.