RisingTransfers
AI DNA Similarity

Best Alternatives to Vincent Janssen

Players most similar to Vincent Janssen (Attacker, €5.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Vincent Janssen

  1. 1.Nick Woltemade85% DNA match·Newcastle United€65.0M
  2. 2.Kasper Dolberg84% DNA match·Ajax€12.0M
  3. 3.Myron Boadu83% DNA match·PSV€5.0M

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

RT

Intelligence Verdict

Aerials WonTop 20%

Janssen has spent a career defying the expectations that come with being a big-money Spurs flop...

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Playing Style Analysis

Complete Forward

Janssen has spent a career defying the expectations that come with being a big-money Spurs flop, quietly rebuilding himself into a reliable, physical presence who wins games through graft rather than glamour. Operating in the Belgian Pro League, his 0.27 goals per 90 and 0.19 assists per 90 both sit above the positional average—modest numbers that actually represent consistent output for a striker who isn't the focal point of a top-tier system. His aerial and duel win rates outperform league peers, painting a picture of a forward who competes hard and holds the line. The three most similar players to Vincent Janssen by playing style are:

  • Nick Woltemade(85% match)A Complete Forward. Statistically, he stands out as a regular goalscorer (0.36 goals/90) and a reliable supplier (0.15 assists/90). However, he loses possession under pressure (1.9 dispossessed/90).
  • Kasper Dolberg(84% 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.
  • Myron Boadu(83% match)A Poacher. Statistically, he stands out as a proven goalscorer (0.78 goals/90) and top 10% scorer in the league.

Transfer Intelligence

Nick Woltemade delivers 85% of the same playing style, at a 1200% premium over Vincent Janssen, with 0.36 goals per 90 at age 24. That's 116% of Vincent Janssen'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 →

V
Comparison Base
Vincent Janssen
AttackerNetherlands€5.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
N
Nick Woltemade
Newcastle United · Premier League
Germany24yContract 2031
G/900.36
A/900.15
Complete Forward
Last 5: ↓ Dip
vs Janssen: €60M more expensive · 7y younger
85% match
€65.0M
#2
K
Kasper Dolberg
Ajax · Eredivisie
Denmark28yContract 2029
G/900.25
A/900.25
Last 5: ↓ Dip
vs Janssen: €7M more expensive · 3y younger · -0.06 G/90
84% match
€12.0M
#3
M
Myron Boadu
PSV · Eredivisie
Netherlands25yContract 2026
G/900.87
A/900.00
PoacherProlific
Last 5: ↑ Hot
vs Janssen: 6y younger · +0.56 G/90
83% match
€5.0M
#4
D
Donyell Malen
Roma · Serie A
Netherlands27yContract 2026
G/900.89
A/900.11
PoacherProlific
Last 5: → Stable
83% match
€25.0M
#5
I
Igor Matanovic
SC Freiburg · Bundesliga
Croatia23y
G/900.37
A/900.13
Target ManProlific
Last 5: ↑ Hot
83% match
€7.0M
#6
T
Thijs Dallinga
Bologna · Serie A
Netherlands25yContract 2028
G/900.63
A/900.42
Complete ForwardSmall Sample
83% match
€12.0M
#7
R
Roberto Fernández
Espanyol · La Liga
Spain23yContract 2031
G/900.22
A/900.17
Target Man
Last 5: ↓ Dip
82% match
€10.0M
#8
J
Jeff Ekhator
Genoa · Serie A
Nigeria19yContract 2029
G/900.36
A/900.00
Complete ForwardSmall Sample
Last 5: ↓ Dip
83% match
€7.0M
#9
J
Jørgen Strand Larsen
Crystal Palace · Premier League
Norway26yContract 2029
G/900.06
A/900.06
Target Man
Last 5: ↑ Hot
82% match
€45.0M
#10
L
Lyle Foster
Burnley · Premier League
South Africa25yContract 2028
G/900.20
A/900.13
Last 5: ↓ Dip
83% match
€10.0M
#11
B
Beto
Everton · Premier League
Portugal28yContract 2027
G/900.55
A/900.06
Target ManProlific
Last 5: ↑ Hot
83% match
€20.0M
#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 Vincent Janssen.

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Frequently Asked Questions

Who are the best alternatives to Vincent Janssen?
The top alternatives to Vincent Janssen based on AI DNA playing style analysis include: Nick Woltemade, Kasper Dolberg, Myron Boadu, Donyell Malen, Igor Matanovic. 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 Vincent Janssen in 2026?
Players with a similar profile to Vincent Janssen in 2026 include Nick Woltemade (€65.0M), Kasper Dolberg (€12.0M), Myron Boadu (€5.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Vincent Janssen play and who plays similarly?
Vincent Janssen plays as a Attacker. Players with a comparable positional profile include Nick Woltemade (Germany, €65.0M); Kasper Dolberg (Denmark, €12.0M); Myron Boadu (Netherlands, €5.0M); Donyell Malen (Netherlands, €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.