RisingTransfers
AI DNA Similarity

Best Alternatives to Samuel Kotto

Players most similar to Samuel Kotto (Defender, €1.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Samuel Kotto

  1. 1.Eric Botteghin86% DNA match·Portuguesa
  2. 2.Christopher Wooh86% DNA match·Rennes€4.5M
  3. 3.Terence Kongolo85% DNA match·NAC Breda€4.4M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 13%

Samuel Junior Kotto is a Ball-Playing CB....

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Playing Style Analysis

Aerial DefenderBall-Playing DefenderAerial Threat

Samuel Junior Kotto is a Ball-Playing CB. Progressive defender comfortable on the ball. Statistically, he stands out as commanding in the air (5.7 clearances/90), meticulous in distribution (90% pass accuracy), wins the physical battle (58% duel success), heavily involved in possession (76 passes/90), central to possession (90 touches/90), strong in aerial duels (3.3 aerials won/90) and uses long balls frequently (6.2/90). The three most similar players to Samuel Kotto by playing style are:

  • Eric Botteghin(86% match)Eric Fernando Botteghin is a Ball-Playing CB. Progressive defender comfortable on the ball. Statistically, he stands out as commanding in the air (4.8 clearances/90), reads the game exceptionally (1.8 interceptions/90), meticulous in distribution (88% pass accuracy), wins the physical battle (66% duel success) and heavily involved in possession (68 passes/90).
  • Christopher Wooh(86% match)A Ball-Playing CB. Statistically, he stands out as active in the tackle (2.2 tackles/90), meticulous in distribution (88% pass accuracy) and wins the physical battle (58% duel success).
  • Terence Kongolo(85% match)A Ball-Playing CB. Statistically, he stands out as active in the tackle (2.0 tackles/90), commanding in the air (6.0 clearances/90), reads the game exceptionally (2.1 interceptions/90), meticulous in distribution (87% pass accuracy), wins the physical battle (74% duel success), strong in aerial duels (3.2 aerials won/90) and active off the ball (2.0 press score/90), contributing to defensive transitions. Note: this profile is based on 878 minutes of playing time this season.

Transfer Intelligence

Christopher Wooh delivers 86% of the same playing style, at a 350% premium over Samuel Kotto, with 1.60 tackles won per 90 at age 24.

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

S
Comparison Base
Samuel Kotto
DefenderCameroon€1.0M
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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 Samuel Kotto.

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Frequently Asked Questions

Who are the best alternatives to Samuel Kotto?
The top alternatives to Samuel Kotto based on AI DNA playing style analysis include: Eric Botteghin, Christopher Wooh, Terence Kongolo, Yoan Koré, Alexandre Coeff. 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 Samuel Kotto in 2026?
Players with a similar profile to Samuel Kotto in 2026 include Eric Botteghin (N/A), Christopher Wooh (€4.5M), Terence Kongolo (€4.4M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Samuel Kotto play and who plays similarly?
Samuel Kotto plays as a Defender. Players with a comparable positional profile include Eric Botteghin (Brazil, N/A); Christopher Wooh (France, €4.5M); Terence Kongolo (Netherlands, €4.4M); Yoan Koré (France, 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.