RisingTransfers
AI DNA Similarity

Best Alternatives to Kasper Dolberg

Players most similar to Kasper Dolberg (Attacker, €12.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Kasper Dolberg

  1. 1.Sébastien Haller86% DNA match·FC Utrecht€31.0M
  2. 2.Myron Boadu85% DNA match·PSV€5.0M
  3. 3.Mohammed Kudus 83% DNA match·Tottenham Hotspur€55.0M

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

RT

Intelligence Verdict

Dribbled PastTop 10%
???Bottom 0%

Dolberg is the kind of striker who has drifted through European football like a rumour...

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Playing Style Analysis

Dolberg is the kind of striker who has drifted through European football like a rumour — talented enough to keep clubs interested, elusive enough to never quite confirm it. Back in the Eredivisie, his numbers tell a familiar half-story: goals and assists both sitting at 0.30 per 90, with his assist rate placing him inside the top 20% of attackers in the league. Here's the counterintuitive read — his below-average pass volume actually reflects positional discipline rather than disengagement; he's conserving touches for moments that matter. The three most similar players to Kasper Dolberg by playing style are:

  • Sébastien Haller(86% match)Haller occupies a rare space in the Eredivisie: a striker whose most elite statistical contribution isn't goals, but his ability to dominate the air — sitting in the top 5% for aerials won per 90, a number that quietly reshapes how his team builds and competes for second balls. His 1.53 key passes per 90 places him above average for attackers in this league, suggesting a link-up intelligence that goes beyond the penalty box. Here's the counterintuitive truth: his pass accuracy sitting in the bottom 10% isn't necessarily carelessness — it likely reflects the difficulty of the passes he's attempting as a physical focal point under pressure.
  • Myron Boadu(85% match)A Poacher. Statistically, he stands out as a proven goalscorer (0.78 goals/90) and top 10% scorer in the league.
  • Mohammed Kudus (83% match)A Dynamic Forward. Statistically, he stands out as naturally left-footed, an elite creator (1.5 key passes/90), a prolific assist provider (0.29 assists/90), a dynamic dribbler (3.0/90) and meticulous in distribution (86% pass accuracy). However, he loses possession under pressure (3.2 dispossessed/90).

Transfer Intelligence

Sébastien Haller delivers 86% of the same playing style, at a 158% premium over Kasper Dolberg, with 0.10 goals per 90 at age 31. That's 41% of Kasper Dolberg'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 →

K
Comparison Base
Kasper Dolberg
AttackerDenmark€12.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
S
Sébastien Haller
FC Utrecht · Eredivisie
Ivory Coast31y
G/900.10
A/900.30
Last 5: ↓ Dip
vs Dolberg: €19M more expensive · 3y older · -0.15 G/90
86% match
€31.0M
#2
M
Myron Boadu
PSV · Eredivisie
Netherlands25yContract 2026
G/900.87
A/900.00
PoacherProlific
Last 5: ↑ Hot
vs Dolberg: €7M cheaper · 3y younger · +0.62 G/90
85% match
€5.0M
#3
M
Mohammed Kudus 
Tottenham Hotspur · Premier League
Ghana25yContract 2031
G/900.12
A/900.29
Dynamic ForwardDribbler
vs Dolberg: €43M more expensive · 3y younger · -0.13 G/90
83% match
€55.0M
#4
T
Troy Parrott
AZ · Eredivisie
Republic of Ireland24yContract 2029
G/900.71
A/900.13
PoacherProlific
Last 5: → Stable
84% match
€22.0M
#5
J
Joshua Zirkzee
Manchester United · Premier League
Netherlands24yContract 2029
G/900.30
A/900.15
Target ManSmall Sample
Last 5: ↓ Dip
84% match
€22.0M
#6
D
Dominic Calvert-Lewin
Leeds United · Premier League
England29yContract 2028
G/900.46
A/900.04
Target ManProlific
Last 5: ↑ Hot
83% match
€22.0M
#7
T
Thijs Dallinga
Bologna · Serie A
Netherlands25yContract 2028
G/900.63
A/900.42
Complete ForwardSmall Sample
83% match
€12.0M
#8
R
Rasmus Højlund
Napoli · Serie A
Denmark23yContract 2026
G/900.27
A/900.16
Goal Scorer
Last 5: ↓ Dip
83% match
€50.0M
#9
D
David Neres 
Napoli · Serie A
Brazil29yContract 2028
G/900.39
A/900.00
Inside ForwardSmall Sample
83% match
€28.0M
#10
R
Ricardo Pepi
PSV · Eredivisie
23yContract 2030
G/901.02
A/900.07
PoacherProlific
Last 5: ↑ Hot
83% match
€25.0M
#11
B
Brian Brobbey
Sunderland · Premier League
Netherlands24yContract 2029
G/900.30
A/900.05
Target Man
Last 5: ↓ Dip
83% match
€25.0M
#12
C
Cody Gakpo
Liverpool · Premier League
Netherlands27yContract 2028
G/900.24
A/900.17
Inside Forward
Last 5: → Stable
82% match
€70.0M

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 Kasper Dolberg.

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Frequently Asked Questions

Who are the best alternatives to Kasper Dolberg?
The top alternatives to Kasper Dolberg based on AI DNA playing style analysis include: Sébastien Haller, Myron Boadu, Mohammed Kudus , Troy Parrott, Joshua Zirkzee. 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 Kasper Dolberg in 2026?
Players with a similar profile to Kasper Dolberg in 2026 include Sébastien Haller (€31.0M), Myron Boadu (€5.0M), Mohammed Kudus  (€55.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Kasper Dolberg play and who plays similarly?
Kasper Dolberg plays as a Attacker. Players with a comparable positional profile include Sébastien Haller (Ivory Coast, €31.0M); Myron Boadu (Netherlands, €5.0M); Mohammed Kudus  (Ghana, €55.0M); Troy Parrott (Republic of Ireland, €22.0M).
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.