⬡ AI DNA · Live season

New York City· 2026 · Major League Soccer · PARTIAL

Best Alternatives to Aiden O'Neill

Defensive MidfieldAustralia27yN/AFull profile →

Ball-WinnerDefensive

0.50KP/90

0.00G/90

0.10A/90

Based on 909 min · 2026 · Major League Soccer · PARTIAL

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

DNA matchPrioritizes Major League Soccer & top-tier peers

Top 3 alternatives to Aiden O'Neill

Rodri98% match
Manchester City · Premier League · €75.0M
Guido Rodríguez97% match
Valencia · La Liga · €6.0M
Dennis Dressel97% match
Ulm · 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

Ball-WinnerDefensive

A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (2.9 tackles/90), meticulous in distribution (90% pass accuracy), wins the physical battle (57% duel success), heavily involved in possession (62 passes/90), central to possession (78 touches/90), active off the ball (2.4 press score/90), contributing to defensive transitions and top 10% tackler in the league. The three closest DNA matches to Aiden O'Neill:

Rodri(98% match) — A Ball-Winner. Statistically, he stands out as a capable chance creator (1.5 key passes/90), an aggressive ball-winner (2.5 tackles/90), meticulous in distribution (90% pass accuracy), wins the physical battle (67% duel success), heavily involved in possession (96 passes/90), penetrates with forward passing (10.5 final-third passes/90), central to possession (111 touches/90), switches play with precision (7.8 long balls/90, 70% accuracy) and a high-intensity presser (press score 3.2/90), constantly disrupting opposition build-up.
Guido Rodríguez(97% match) — A Ball-Winner. Statistically, he stands out as a regular goalscorer (0.28 goals/90), an aggressive ball-winner (2.8 tackles/90), meticulous in distribution (87% pass accuracy), wins the physical battle (55% duel success), wins the ball cleanly (1.9 successful tackles/90), heavily involved in play (65 touches/90) and active off the ball (2.9 press score/90), contributing to defensive transitions.
Dennis Dressel(97% match) — A Ball-Winner. Statistically, he stands out as a reliable supplier (0.17 assists/90), an aggressive ball-winner (2.8 tackles/90), wins the ball cleanly (1.8 successful tackles/90), heavily involved in play (56 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

Aiden O'Neill

MidfielderAustraliaMajor League SoccerN/A

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Similar Players — Ranked by DNA Similarity

Rodri

Manchester City · Premier League

Spain29yContract 2027

KP/901.49

G/900.06

Ball-WinnerDefensiveOut of form ↓

vs O'Neill: 2y older

98% match

€75.0M

Ask about replacements for O'Neill

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 Aiden O'Neill?▼

The top alternatives to Aiden O'Neill based on AI DNA playing style analysis include: Rodri, Guido Rodríguez, Dennis Dressel, Yves Bissouma, Andreas Müller. 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 Aiden O'Neill in 2026?▼

Players with a similar profile to Aiden O'Neill in 2026 include Rodri (€75.0M), Guido Rodríguez (€6.0M), Dennis Dressel (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.

What position does Aiden O'Neill play and who plays similarly?▼

Aiden O'Neill plays as a Midfielder. Players with a comparable positional profile include Rodri (Spain, €75.0M); Guido Rodríguez (Argentina, €6.0M); Dennis Dressel (Germany, N/A); Yves Bissouma (Mali, €15.0M).

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.

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