RisingTransfers
AI DNA Similarity

Best Alternatives to Ivan Toney

Players most similar to Ivan Toney (Attacker, €20.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Ivan Toney

  1. 1.Enes Ünal88% DNA match·AFC Bournemouth€8.0M
  2. 2.Lukas Nmecha87% DNA match·Leeds United€10.0M
  3. 3.Taiwo Awoniyi 87% DNA match·Nottingham Forest€12.0M

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

RT

Intelligence Verdict

GoalsTop 0%
???Bottom 10%

Toney is the rare striker who makes defenders feel the game before they even touch the ball—a...

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Playing Style Analysis

PoacherProlific

Toney is the rare striker who makes defenders feel the game before they even touch the ball—a physical presence that converts pressure into goals at a rate that puts him in the top 5% of his league. His 1.10 goals per 90 is the headline, and it earns it. Aerial dominance—top 20% in win rate, top 30% in volume—makes him a constant threat from set pieces and crosses alike. The three most similar players to Ivan Toney by playing style are:

  • Enes Ünal(88% match)Ünal is the kind of striker Premier League defenders quietly dread—a physical menace in the air who backs it up with real end product. His aerial win rate sits in the top 5% of forwards in this division, and crucially, those duels are translating: 5.68 aerials won per 90 is not a volume stat, it's dominance. His goals and assists numbers place him comfortably in the top 20% and top 10% respectively, which is the counterintuitive truth here—a player often dismissed as a target-man throwback is actually contributing to chance creation at an elite rate.
  • Lukas Nmecha(87% match)A Target Man. Statistically, he stands out as a constant goal threat (2.7 shots/90), a proven goalscorer (0.58 goals/90) and top 10% scorer in the league.
  • Taiwo Awoniyi (87% match)Awoniyi is the kind of striker who makes a Premier League defence work for every yard — a relentless, physical presence built around disruption as much as destruction. His press intensity ranks in the top 20% among forwards in this league, which tells you something important: this is a striker who hunts, not just waits. The counterintuitive read here is his aerial numbers — 2.43 wins per 90 and an above-average win rate suggest a more dominant aerial threat than his overall duel statistics imply; he picks his battles intelligently in the air, even if ground duels expose him.

Transfer Intelligence

Enes Ünal delivers 88% of the same playing style, at 60% lower cost (€8.0M vs €20.0M), with 0.46 goals per 90 at age 29. That's 44% of Ivan Toney's output in goals per 90 — a credible like-for-like option.

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

I
Comparison Base
Ivan Toney
AttackerEngland€20.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
E
Enes Ünal
AFC Bournemouth · Premier League
Turkey29yContract 2028
G/900.46
A/900.00
Target ManProlific
Last 5: ↓ Dip
vs Toney: €12M cheaper · -0.59 G/90
88% match
€8.0M
#2
L
Lukas Nmecha
Leeds United · Premier League
Germany27yContract 2027
G/900.57
A/900.09
Target ManProlific
Last 5: ↓ Dip
vs Toney: €10M cheaper · 3y younger · -0.49 G/90
87% match
€10.0M
#3
T
Taiwo Awoniyi 
Nottingham Forest · Premier League
Nigeria28yContract 2027
G/900.83
A/900.21
Target ManSmall Sample
Last 5: ↑ Hot
vs Toney: €8M cheaper · 2y younger · -0.22 G/90
87% match
€12.0M
#4
R
Richarlison 
Tottenham Hotspur · Premier League
Brazil29yContract 2027
G/900.50
A/900.25
Target ManProlific
Last 5: ↓ Dip
87% match
€28.0M
#5
H
Hugo Ekitiké
Liverpool · Premier League
France23yContract 2031
G/900.55
A/900.20
PoacherProlific
Last 5: ↓ Dip
86% match
€85.0M
#6
N
Nick Woltemade
Newcastle United · Premier League
Germany24yContract 2031
G/900.36
A/900.15
Complete Forward
Last 5: ↓ Dip
86% match
€65.0M
#7
J
João Pedro
Chelsea · Premier League
Brazil24yContract 2033
G/900.52
A/900.17
Target ManProlific
Last 5: → Stable
85% match
€65.0M
#8
B
Beto
Everton · Premier League
Portugal28yContract 2027
G/900.55
A/900.06
Target ManProlific
Last 5: ↑ Hot
86% match
€20.0M
#9
V
Viktor Gyökeres
Arsenal · Premier League
Sweden27yContract 2030
G/900.57
A/900.04
PoacherProlific
Last 5: → Stable
86% match
€65.0M
#10
A
Armando Broja
Burnley · Premier League
Albania24yContract 2030
G/900.11
A/900.11
Target ManSmall Sample
Last 5: ↓ Dip
86% match
€8.0M
#11
B
Benjamin Sesko
Manchester United · Premier League
Slovenia22yContract 2030
G/900.60
A/900.06
Target ManProlific
Last 5: → Stable
86% match
€65.0M
#12
I
Igor Jesus
Nottingham Forest · Premier League
Brazil25y
G/900.25
A/900.17
Target Man
Last 5: ↑ Hot
85% match
€11.6M

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 Ivan Toney.

Ask AI about Ivan Toney

Frequently Asked Questions

Who are the best alternatives to Ivan Toney?
The top alternatives to Ivan Toney based on AI DNA playing style analysis include: Enes Ünal, Lukas Nmecha, Taiwo Awoniyi , Richarlison , Hugo Ekitiké. 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 Ivan Toney in 2026?
Players with a similar profile to Ivan Toney in 2026 include Enes Ünal (€8.0M), Lukas Nmecha (€10.0M), Taiwo Awoniyi  (€12.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Ivan Toney play and who plays similarly?
Ivan Toney plays as a Attacker. Players with a comparable positional profile include Enes Ünal (Turkey, €8.0M); Lukas Nmecha (Germany, €10.0M); Taiwo Awoniyi  (Nigeria, €12.0M); Richarlison  (Brazil, €28.0M).
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.