RisingTransfers
AI DNA Similarity

Best Alternatives to Steven Bergwijn

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

Top 3 Alternatives to Steven Bergwijn

  1. 1.David Neres 85% DNA match·Napoli€28.0M
  2. 2.Kasper Dolberg85% DNA match·Ajax€12.0M
  3. 3.Dennis Man84% DNA match·PSV€13.0M

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

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Intelligence Verdict

Big ChancesTop 10%
???Bottom 16%

Bergwijn remains one of European football's most frustrating puzzles—a wide attacker whose...

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Playing Style Analysis

Inside ForwardProlific

Bergwijn remains one of European football's most frustrating puzzles—a wide attacker whose technical ceiling still outpaces his surroundings, even after the Ajax exit. Playing for a B-tier Pro League side, his 91.1% pass accuracy places him in the top 5% among forwards in the league, which tells you everything about how he operates: less a disruptor, more an architect in disguise. His 1.62 key passes per 90 and consistent penetration into the final third suggest a player who manufactures chances with intelligence rather than raw speed. The three most similar players to Steven Bergwijn by playing style are:

  • David Neres (85% match)A Inside Forward. Statistically, he stands out as an elite creator (1.7 key passes/90), a regular goalscorer (0.39 goals/90) and creates high-quality scoring opportunities (0.66 big chances/90). Note: this profile is based on 687 minutes of playing time this season.
  • Kasper Dolberg(85% match)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.
  • Dennis Man(84% match)Man is the rare wide attacker who makes the team tick with the ball as much as he does without it—a creator disguised as a scorer. His assist rate sits in the top 5% of Eredivisie forwards, and his 39.3 passes per 90 minutes—also top 5%—reveal something counterintuitive: this isn't a dribbler who ignores teammates, it's a dribbler who combines. Those 2.45 dribble attempts per 90 rank elite, yet the passing accuracy behind them hits 86.1%, suggesting Man uses his runs to open space for others as much as for himself.

Transfer Intelligence

David Neres  delivers 85% of the same playing style, at a 133% premium over Steven Bergwijn, with 0.39 goals per 90 at age 29. That's 138% of Steven Bergwijn'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 →

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Comparison Base
Steven Bergwijn
AttackerNetherlands€12.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
D
David Neres 
Napoli · Serie A
Brazil29yContract 2028
G/900.39
A/900.00
Inside ForwardSmall Sample
vs Bergwijn: €16M more expensive · +0.11 G/90
85% match
€28.0M
#2
K
Kasper Dolberg
Ajax · Eredivisie
Denmark28yContract 2029
G/900.25
A/900.25
Last 5: ↓ Dip
85% match
€12.0M
#3
D
Dennis Man
PSV · Eredivisie
Romania27yContract 2029
G/900.38
A/900.38
Inside ForwardProlific
Last 5: ↓ Dip
vs Bergwijn: +0.10 G/90
84% match
€13.0M
#4
A
Anis Hadj Moussa
Feyenoord · Eredivisie
Algeria24yContract 2030
G/900.33
A/900.22
Inside ForwardDribbler
Last 5: ↓ Dip
83% match
€20.0M
#5
V
Virgil Misidjan
NEC Nijmegen · Eredivisie
Netherlands32y
G/900.17
A/900.34
Small Sample
84% match
€3.0M
#6
I
Isak Jensen
AZ · Eredivisie
Denmark22yContract 2030
G/900.09
A/900.18
Dynamic ForwardDribbler
Last 5: ↑ Hot
84% match
€3.5M
#7
C
Crysencio Summerville
West Ham United · Premier League
Netherlands24yContract 2029
G/900.20
A/900.04
Last 5: ↓ Dip
84% match
€30.0M
#8
F
Francisco Trincão
Sporting CP · Liga Portugal
Portugal26yContract 2027
G/900.23
A/900.36
Complete Forward
Last 5: → Stable
83% match
€35.0M
#9
C
Cody Gakpo
Liverpool · Premier League
Netherlands27yContract 2028
G/900.24
A/900.17
Inside Forward
Last 5: → Stable
83% match
€70.0M
#10
K
Kevin Schade
Brentford · Premier League
Germany24yContract 2028
G/900.24
A/900.10
Last 5: ↓ Dip
83% match
€35.0M
#11
N
Nathan Tella
Bayer 04 Leverkusen · Bundesliga
Nigeria26yContract 2028
G/900.45
A/900.89
Complete ForwardSmall Sample
83% match
€15.0M
#12
S
Sondre Ørjasæter
FC Twente · Eredivisie
Norway22y
G/900.09
A/900.22
Inside ForwardDribbler
Last 5: ↑ Hot
83% match
€5.0M

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 Steven Bergwijn.

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Frequently Asked Questions

Who are the best alternatives to Steven Bergwijn?
The top alternatives to Steven Bergwijn based on AI DNA playing style analysis include: David Neres , Kasper Dolberg, Dennis Man, Anis Hadj Moussa, Virgil Misidjan. 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 Steven Bergwijn in 2026?
Players with a similar profile to Steven Bergwijn in 2026 include David Neres  (€28.0M), Kasper Dolberg (€12.0M), Dennis Man (€13.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Steven Bergwijn play and who plays similarly?
Steven Bergwijn plays as a Attacker. Players with a comparable positional profile include David Neres  (Brazil, €28.0M); Kasper Dolberg (Denmark, €12.0M); Dennis Man (Romania, €13.0M); Anis Hadj Moussa (Algeria, €20.0M).
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.