RisingTransfers
AI DNA Similarity

Best Alternatives to Thijs Dallinga

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

Top 3 Alternatives to Thijs Dallinga

  1. 1.Samuele Mulattieri85% DNA match·Sassuolo€6.0M
  2. 2.M'Bala Nzola85% DNA match·Sassuolo€6.0M
  3. 3.Sébastien Haller85% DNA match·FC Utrecht€31.0M

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

RT

Intelligence Verdict

Dribbled PastTop 0%
???Bottom 0%

A Complete Forward....

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Playing Style Analysis

Complete ForwardSmall Sample

A Complete Forward. Statistically, he stands out as a capable chance creator (1.2 key passes/90), a constant goal threat (2.7 shots/90), a regular goalscorer (0.24 goals/90) and a reliable supplier (0.24 assists/90). Note: this profile is based on 762 minutes of playing time this season. The three most similar players to Thijs Dallinga by playing style are:

  • Samuele Mulattieri(85% match)Mulattieri is the kind of striker who wins headers in Serie A but struggles to win the ball at his feet—a physical presence in the box who remains curiously invisible in open play. His aerial win rate sits above the league average for attackers, a legitimate weapon in the right system, and his dribble volume places him in the top 20%—suggesting more directness than his overall profile implies. The counterintuitive read here: his low pass volume isn't laziness, it's positioning; he operates in tight spaces where recycling the ball simply isn't his job.
  • M'Bala Nzola(85% match)A Complete Forward. Statistically, he stands out as a capable chance creator (1.1 key passes/90), a constant goal threat (2.9 shots/90) and strong in aerial duels (3.9 aerials won/90). However, he loses possession under pressure (1.8 dispossessed/90).
  • Sébastien Haller(85% 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.

Transfer Intelligence

Samuele Mulattieri delivers 85% of the same playing style, at 50% lower cost (€6.0M vs €12.0M), and is 25 years old.

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

T
Comparison Base
Thijs Dallinga
AttackerNetherlands€12.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
S
Samuele Mulattieri
Sassuolo · Serie A
Italy25y
G/900.00
A/900.00
Target ManSmall Sample
vs Dallinga: €6M cheaper
85% match
€6.0M
#2
M
M'Bala Nzola
Sassuolo · Serie A
Angola29yContract 2026
G/900.00
A/900.00
Complete ForwardSmall Sample
vs Dallinga: €6M cheaper · 4y older
85% match
€6.0M
#3
S
Sébastien Haller
FC Utrecht · Eredivisie
Ivory Coast31y
G/900.10
A/900.30
Last 5: ↓ Dip
vs Dallinga: €19M more expensive · 6y older · -0.52 G/90
85% match
€31.0M
#4
P
Petar Ratkov
Lazio · Serie A
Serbia22yContract 2030
G/900.68
A/900.00
Complete ForwardProlific
85% match
€7.0M
#5
M
Mateo Pellegrino
Parma · Serie A
Argentina24yContract 2029
G/900.22
A/900.07
Target Man
84% match
€10.0M
#6
A
Adam Buksa
Udinese · Serie A
Poland29yContract 2029
G/900.64
A/900.00
Target ManSmall Sample
Last 5: ↑ Hot
85% match
€4.0M
#7
G
Gennaro Borrelli
Cagliari · Serie A
Italy26yContract 2029
G/900.42
A/900.14
Target ManProlific
85% match
€3.0M
#8
T
Tijjani Noslin
Lazio · Serie A
Netherlands26yContract 2029
G/900.31
A/900.15
Inside ForwardSmall Sample
Last 5: → Stable
84% match
€6.5M
#9
A
Alassane Pléa
PSV · Eredivisie
France33yContract 2028
G/900.52
A/900.23
Complete ForwardProlific
84% match
€3.0M
#10
A
Andrea Pinamonti
Sassuolo · Serie A
Italy26yContract 2027
G/900.13
A/900.25
Target ManSmall Sample
Last 5: ↓ Dip
84% match
€15.0M
#11
H
Henrik Meister
Pisa · Serie A
Denmark22y
G/900.12
A/900.00
Small Sample
Last 5: ↓ Dip
84% match
€4.0M
#12
N
Nick Woltemade
Newcastle United · Premier League
Germany24yContract 2031
G/900.36
A/900.15
Complete Forward
Last 5: ↓ Dip
83% match
€65.0M

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 Thijs Dallinga.

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Frequently Asked Questions

Who are the best alternatives to Thijs Dallinga?
The top alternatives to Thijs Dallinga based on AI DNA playing style analysis include: Samuele Mulattieri, M'Bala Nzola, Sébastien Haller, Petar Ratkov, Mateo Pellegrino. 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 Thijs Dallinga in 2026?
Players with a similar profile to Thijs Dallinga in 2026 include Samuele Mulattieri (€6.0M), M'Bala Nzola (€6.0M), Sébastien Haller (€31.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Thijs Dallinga play and who plays similarly?
Thijs Dallinga plays as a Attacker. Players with a comparable positional profile include Samuele Mulattieri (Italy, €6.0M); M'Bala Nzola (Angola, €6.0M); Sébastien Haller (Ivory Coast, €31.0M); Petar Ratkov (Serbia, €7.0M).
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.