⬡ AI DNA · Live season

Horsens· 2025/2026 · Superliga · FULL

Best Alternatives to Abdul Moro

MidfielderDenmark20yN/AFull profile →

MetronomeDefensive

0.49KP/90

0.00G/90

0.00A/90

Based on 1,202 min · 2025/2026 · Superliga · FULL

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

DNA matchPrioritizes Superliga & top-tier peers

Top 3 alternatives to Abdul Moro

Mike Vestergård97% match
Vejle Boldklub · Superliga
Sabil Hansen97% match
Randers FC · Superliga
Laurits Pedersen96% match
Randers FC · Superliga

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

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Intelligence Verdict

Press IntensityTop 1%

???Bottom 1%

“A Metronome....”

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Playing Style Analysis

MetronomeDefensive

A Metronome. Statistically, he stands out as an aggressive ball-winner (3.4 tackles/90), reads the game exceptionally (1.7 interceptions/90), meticulous in distribution (89% pass accuracy), wins the physical battle (58% duel success), wins the ball cleanly (1.9 successful tackles/90), central to possession (73 touches/90), a high-intensity presser (press score 4.0/90), constantly disrupting opposition build-up and top 10% tackler in the league. The three closest DNA matches to Abdul Moro:

Mike Vestergård(97% match) — A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (3.3 tackles/90), reads the game exceptionally (1.7 interceptions/90), wins the ball cleanly (1.9 successful tackles/90), heavily involved in play (53 touches/90), uses long balls frequently (5.4/90), a high-intensity presser (press score 3.3/90), constantly disrupting opposition build-up and top 10% tackler in the league.
Sabil Hansen(97% match) — A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (3.9 tackles/90), reads the game exceptionally (2.0 interceptions/90), wins the physical battle (57% duel success), wins the ball cleanly (2.1 successful tackles/90), central to possession (71 touches/90), active off the ball (3.0 press score/90), contributing to defensive transitions and top 10% tackler in the league.
Laurits Pedersen(96% match) — A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (3.4 tackles/90), meticulous in distribution (85% pass accuracy), wins the ball cleanly (2.0 successful tackles/90), active off the ball (2.6 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 →

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Similar Players — Ranked by DNA Similarity

Mike Vestergård

Vejle Boldklub · Superliga

Denmark28y

KP/900.58

G/900.00

Ball-WinnerDefensiveSteady form

vs Moro: 8y older

97% match

N/A

Compare Moro vs Vestergård →

Ask about replacements for Moro

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Frequently Asked Questions

Who are the best alternatives to Abdul Moro?▼

The top alternatives to Abdul Moro based on AI DNA playing style analysis include: Mike Vestergård, Sabil Hansen, Laurits Pedersen, Yves Bissouma, Rodri. 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 Abdul Moro in 2026?▼

Players with a similar profile to Abdul Moro in 2026 include Mike Vestergård (N/A), Sabil Hansen (N/A), Laurits Pedersen (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.

What position does Abdul Moro play and who plays similarly?▼

Abdul Moro plays as a Midfielder. Players with a comparable positional profile include Mike Vestergård (Denmark, N/A); Sabil Hansen (Denmark, N/A); Laurits Pedersen (Denmark, 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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