RisingTransfers
AI DNA Similarity

Best Alternatives to Chanathip Songkrasin

Players most similar to Chanathip Songkrasin (Midfielder, €1.8M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Chanathip Songkrasin

  1. 1.Seko Fofana86% DNA match·Porto€8.0M
  2. 2.Jordan Holsgrove86% DNA match·Estoril
  3. 3.Oskar Boesen86% DNA match·Silkeborg IF

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

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Intelligence Verdict

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A Metronome....

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Playing Style Analysis

MetronomeCreative

A Metronome. Statistically, he stands out as an elite creator (1.5 key passes/90), a reliable supplier (0.19 assists/90), heavily involved in possession (63 passes/90) and top 20% creator in the league. The three most similar players to Chanathip Songkrasin by playing style are:

  • Seko Fofana(86% match)A Metronome. Statistically, he stands out as a capable chance creator (1.4 key passes/90), a constant goal threat (2.6 shots/90), meticulous in distribution (91% pass accuracy), central to possession (72 touches/90) and active off the ball (2.2 press score/90), contributing to defensive transitions. Note: this profile is based on 845 minutes of playing time this season.
  • Jordan Holsgrove(86% match)A Metronome. Statistically, he stands out as an elite creator (1.8 key passes/90), a reliable supplier (0.23 assists/90), active in the tackle (1.9 tackles/90), meticulous in distribution (85% pass accuracy), heavily involved in possession (75 passes/90), penetrates with forward passing (12.6 final-third passes/90), central to possession (92 touches/90), uses long balls frequently (7.9/90), active off the ball (2.6 press score/90), contributing to defensive transitions and top 10% creator in the league.
  • Oskar Boesen(86% match)Oskar Boesen is a Metronome. Possession anchor who dictates tempo. Statistically, he stands out as a capable chance creator (1.2 key passes/90), a prolific assist provider (0.25 assists/90), active in the tackle (2.2 tackles/90), meticulous in distribution (90% pass accuracy), heavily involved in possession (77 passes/90) and central to possession (93 touches/90). (Limited sample: 365 mins)

Transfer Intelligence

Seko Fofana delivers 86% of the same playing style, at a 337% premium over Chanathip Songkrasin, with 2.56 key passes per 90 at age 31.

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

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Comparison Base
Chanathip Songkrasin
MidfielderThailand€1.8M
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Similar Players — Ranked by DNA Similarity

Ask AI: Why are these players similar?

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 Chanathip Songkrasin.

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Frequently Asked Questions

Who are the best alternatives to Chanathip Songkrasin?
The top alternatives to Chanathip Songkrasin based on AI DNA playing style analysis include: Seko Fofana, Jordan Holsgrove, Oskar Boesen, Manu Molina, Nicolai Poulsen. 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 Chanathip Songkrasin in 2026?
Players with a similar profile to Chanathip Songkrasin in 2026 include Seko Fofana (€8.0M), Jordan Holsgrove (N/A), Oskar Boesen (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Chanathip Songkrasin play and who plays similarly?
Chanathip Songkrasin plays as a Midfielder. Players with a comparable positional profile include Seko Fofana (Ivory Coast, €8.0M); Jordan Holsgrove (Scotland, N/A); Oskar Boesen (Denmark, N/A); Manu Molina (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.