RisingTransfers
AI DNA Similarity

Best Alternatives to Trey Nyoni

Players most similar to Trey Nyoni (Midfielder, €6.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Trey Nyoni

  1. 1.Sverre Nypan85% DNA match·Manchester City€15.0M
  2. 2.Antoni Milambo83% DNA match·Brentford€20.0M
  3. 3.Kiernan Dewsbury-Hall83% DNA match·Everton€28.0M

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

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Intelligence Verdict

???Bottom 0%

Nyoni arrived at Leicester City as a teenager carrying the kind of hype that usually breaks young...

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Playing Style Analysis

Small Sample

Nyoni arrived at Leicester City as a teenager carrying the kind of hype that usually breaks young players before it builds them—yet he's quietly logging minutes in the Premier League at an age when most kids his level are still fighting for Championship starts. The data picture is thin, just 360 minutes across a handful of appearances, which makes definitive judgement premature and, frankly, unfair. What the numbers do flag is a pass accuracy sitting in the bottom 10% of league midfielders—but here's the counterintuitive read: a teenager thrown into Premier League chaos, playing under pressure in unfamiliar systems, will always take riskier passes than a settled 28-year-old. The three most similar players to Trey Nyoni by playing style are:

  • Sverre Nypan(85% match)A Creator. Statistically, he stands out as comfortable with both feet, a capable chance creator (1.3 key passes/90), active in the tackle (2.1 tackles/90) and heavily involved in play (53 touches/90). However, he loses possession under pressure (1.9 dispossessed/90).
  • Antoni Milambo(83% match)A Creator. Statistically, he stands out as a capable chance creator (1.2 key passes/90), a reliable supplier (0.23 assists/90) and creates high-quality scoring opportunities (0.59 big chances/90).
  • Kiernan Dewsbury-Hall(83% match)A Box-to-Box. Statistically, he stands out as naturally left-footed, a capable chance creator (1.2 key passes/90), a regular goalscorer (0.29 goals/90), a reliable supplier (0.15 assists/90), active in the tackle (1.8 tackles/90), heavily involved in play (54 touches/90) and active off the ball (2.2 press score/90), contributing to defensive transitions. However, he loses possession under pressure (1.7 dispossessed/90).

Transfer Intelligence

Sverre Nypan delivers 85% of the same playing style, at a 150% premium over Trey Nyoni, with 1.32 key passes per 90 at age 19.

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

T
Comparison Base
Trey Nyoni
MidfielderEngland€6.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
S
Sverre Nypan
Manchester City · Premier League
Norway19yContract 2030
KP/901.32
G/900.00
CreatorSmall Sample
vs Nyoni: €9M more expensive
85% match
€15.0M
#2
A
Antoni Milambo
Brentford · Premier League
Netherlands21yContract 2030
KP/901.22
G/900.14
Creator
vs Nyoni: €14M more expensive · 3y older
83% match
€20.0M
#3
K
Kiernan Dewsbury-Hall
Everton · Premier League
England27yContract 2030
KP/901.24
G/900.29
Box-to-Box
Last 5: → Stable
vs Nyoni: €22M more expensive · 9y older
83% match
€28.0M
#4
S
Sander Berge
Fulham · Premier League
Norway28yContract 2029
KP/900.58
G/900.00
Box-to-Box
Last 5: ↑ Hot
82% match
€25.0M
#5
N
Noah Sadiki
Sunderland · Premier League
Belgium21yContract 2030
KP/900.56
G/900.00
Balanced Midfielder
Last 5: ↑ Hot
82% match
€30.0M
#6
F
Freddie Potts
West Ham United · Premier League
England22yContract 2029
KP/900.62
G/900.00
Box-to-Box
Last 5: ↑ Hot
82% match
€8.0M
#7
A
Adam Wharton
Crystal Palace · Premier League
England22yContract 2029
KP/901.41
G/900.00
Box-to-Box
Last 5: → Stable
81% match
€60.0M
#8
L
Lesley Ugochukwu
Burnley · Premier League
France22yContract 2030
KP/900.37
G/900.12
Ball-Winner
Last 5: → Stable
81% match
€25.0M
#9
J
Justin Devenny
Crystal Palace · Premier League
Scotland22yContract 2027
KP/900.89
G/900.13
CreatorDefensive
82% match
€8.0M
#10
A
Alex Scott
AFC Bournemouth · Premier League
England22yContract 2028
KP/900.88
G/900.10
Box-to-Box
Last 5: ↑ Hot
81% match
€40.0M
#11
M
Morgan Gibbs-White
Nottingham Forest · Premier League
England26yContract 2027
KP/901.41
G/900.40
Creator
Last 5: ↓ Dip
81% match
€65.0M
#12
F
Facundo Buonanotte
Leeds United · Premier League
Argentina21yContract 2026
KP/901.49
G/900.37
Ball-WinnerDefensive
81% match
€18.0M

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 Trey Nyoni.

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Frequently Asked Questions

Who are the best alternatives to Trey Nyoni?
The top alternatives to Trey Nyoni based on AI DNA playing style analysis include: Sverre Nypan, Antoni Milambo, Kiernan Dewsbury-Hall, Sander Berge, Noah Sadiki. 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 Trey Nyoni in 2026?
Players with a similar profile to Trey Nyoni in 2026 include Sverre Nypan (€15.0M), Antoni Milambo (€20.0M), Kiernan Dewsbury-Hall (€28.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Trey Nyoni play and who plays similarly?
Trey Nyoni plays as a Midfielder. Players with a comparable positional profile include Sverre Nypan (Norway, €15.0M); Antoni Milambo (Netherlands, €20.0M); Kiernan Dewsbury-Hall (England, €28.0M); Sander Berge (Norway, €25.0M).
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.