RisingTransfers
AI DNA Similarity

Best Alternatives to Alejandro Bedoya

Players most similar to Alejandro Bedoya (Midfielder, €895K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Alejandro Bedoya

  1. 1.Jerome Deom98% DNA match·Roda JC Kerkrade
  2. 2.Yusuf Deniz Sas98% DNA match·Ümraniyespor
  3. 3.Jon Ander Olasagasti98% DNA match·Levante

Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.

RT

Intelligence Verdict

Aerials WonTop 3%
???Bottom 0%

A Box-to-Box....

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Playing Style Analysis

Box-to-BoxCreativeDefensiveSmall Sample

A Box-to-Box. Statistically, he stands out as an elite creator (1.9 key passes/90), an aggressive ball-winner (2.6 tackles/90), wins the ball cleanly (2.0 successful tackles/90), heavily involved in play (61 touches/90), strong in aerial duels (3.4 aerials won/90), active off the ball (2.1 press score/90), contributing to defensive transitions and top 20% creator in the league. However, he prone to committing fouls (3.0/90). The three most similar players to Alejandro Bedoya by playing style are:

  • Jerome Deom(98% match)A Box-to-Box. Statistically, he stands out as a capable chance creator (1.5 key passes/90), an aggressive ball-winner (2.6 tackles/90), wins the ball cleanly (2.4 successful tackles/90), heavily involved in play (57 touches/90), active off the ball (2.3 press score/90), contributing to defensive transitions and top 20% creator in the league. Note: this profile is based on 490 minutes of playing time this season.
  • Yusuf Deniz Sas(98% match)A Box-to-Box. Statistically, he stands out as an elite creator (2.7 key passes/90), a reliable supplier (0.19 assists/90), active in the tackle (1.9 tackles/90), wins the physical battle (58% duel success), central to possession (71 touches/90), draws fouls effectively (2.3/90), active off the ball (2.3 press score/90), contributing to defensive transitions and top 10% creator in the league. Note: this profile is based on 469 minutes of playing time this season.
  • Jon Ander Olasagasti(98% match)A Box-to-Box. Statistically, he stands out as an elite creator (2.1 key passes/90), a prolific assist provider (0.25 assists/90), heavily involved in play (59 touches/90), active off the ball (2.1 press score/90), contributing to defensive transitions and top 10% creator in the league.

Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →

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Comparison Base
Alejandro Bedoya
MidfielderUnited States€895K
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Similar Players — Ranked by DNA Similarity

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Our 768-dimension Player DNA model matches playing style, physical profile, pressing intensity, and tactical fit. Ask the AI to explain exactly what makes these players statistically similar to Alejandro Bedoya.

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Frequently Asked Questions

Who are the best alternatives to Alejandro Bedoya?
The top alternatives to Alejandro Bedoya based on AI DNA playing style analysis include: Jerome Deom, Yusuf Deniz Sas, Jon Ander Olasagasti, Unai Vencedor, Luca Herrmann. 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 Alejandro Bedoya in 2026?
Players with a similar profile to Alejandro Bedoya in 2026 include Jerome Deom (N/A), Yusuf Deniz Sas (N/A), Jon Ander Olasagasti (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Alejandro Bedoya play and who plays similarly?
Alejandro Bedoya plays as a Midfielder. Players with a comparable positional profile include Jerome Deom (Belgium, N/A); Yusuf Deniz Sas (Turkey, N/A); Jon Ander Olasagasti (Spain, N/A); Unai Vencedor (Spain, N/A).
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.