⬡ AI DNA · Live season

Rangers· 2025/2026 · Premiership · PARTIAL

Best Alternatives to Connor Barron

MidfielderScotland23y€2.5MFull profile →

Ball-WinnerCreativeDefensive

1.59KP/90

0.00G/90

0.14A/90

Based on 1,489 min · 2025/2026 · Premiership · PARTIAL

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

Note: Top DNA style matches can come from lower leagues. We also surface Premiership peers ranked by market value and league tier — scroll the full list below.

DNA matchDNA style match · see league & value below

Top 3 alternatives to Connor Barron

James Ward-Prowse83% match
Burnley · Premier League · €6.0M
Federico Redondo83% match
Elche · La Liga · €4.0M

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Playing Style Analysis

Ball-WinnerCreativeDefensive

A Ball-Winner. Statistically, he stands out as an elite creator (1.8 key passes/90), an aggressive ball-winner (3.0 tackles/90), meticulous in distribution (89% pass accuracy), heavily involved in play (70 touches/90), a high-intensity presser (press score 3.1/90), constantly disrupting opposition build-up, top 20% creator in the league and top 10% tackler in the league. The three closest DNA matches to Connor Barron:

James Ward-Prowse(83% match) — A Metronome. Statistically, he stands out as an elite creator (1.6 key passes/90), reads the game exceptionally (2.0 interceptions/90), meticulous in distribution (88% pass accuracy), wins the physical battle (56% duel success), creates high-quality scoring opportunities (0.79 big chances/90), delivers dangerous crosses (2.5 accurate crosses/90), penetrates with forward passing (10.7 final-third passes/90), central to possession (76 touches/90), uses long balls frequently (5.2/90), active off the ball (3.0 press score/90), contributing to defensive transitions and top 20% creator in the league.
Federico Redondo(83% match) — Redondo is the quintessential "volume controller" whose surgical distribution and relentless defensive work rate suggest a player far more physically imposing than his duel success rate implies. Operating at a Tier C club, he is effectively the entire engine room, ranking in the top 5% for both passes per 90 (84.3) and tackles won (1.91), a rare statistical profile that combines the elegance of a deep-lying playmaker with the grit of a ball-winner.
Michel Aebischer(83% match) — A Box-to-Box. Statistically, he stands out as a capable chance creator (1.1 key passes/90), active in the tackle (2.0 tackles/90), meticulous in distribution (86% pass accuracy), heavily involved in play (61 touches/90), uses long balls frequently (5.5/90) and active off the ball (2.8 press score/90), contributing to defensive transitions.

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

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Similar Players — Ranked by DNA Similarity

James Ward-Prowse

Burnley · Premier League

England31yContract 2027

KP/901.59

G/900.00

MetronomeCreativeOut of form ↓

vs Barron: 8y older

83% match

€6.0M

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Frequently Asked Questions

Who are the best alternatives to Connor Barron?▼

The top alternatives to Connor Barron based on AI DNA playing style analysis include: James Ward-Prowse, Federico Redondo, Michel Aebischer, Pascal Groß, Gavi. 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 Connor Barron in 2026?▼

Players with a similar profile to Connor Barron in 2026 include James Ward-Prowse (€6.0M), Federico Redondo (€4.0M), Michel Aebischer (€4.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.

What position does Connor Barron play and who plays similarly?▼

Connor Barron plays as a Midfielder. Players with a comparable positional profile include James Ward-Prowse (England, €6.0M); Federico Redondo (Argentina, €4.0M); Michel Aebischer (Switzerland, €4.0M); Pascal Groß (Germany, €3.5M).

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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