RisingTransfers
AI DNA Similarity

Best Alternatives to Samuel Lino

Players most similar to Samuel Lino (Attacker, €17.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Samuel Lino

  1. 1.Tijjani Noslin88% DNA match·Lazio€6.5M
  2. 2.Riccardo Orsolini87% DNA match·Bologna€25.0M
  3. 3.Armand Laurienté86% DNA match·Sassuolo€14.0M

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

RT

Intelligence Verdict

AssistsTop 2%
???Bottom 12%

Lino is the rare wide attacker who makes Serie A's defensive midfielders nervous not through pace or trickery alone...

See Full Verdict + Share Card →

Playing Style Analysis

Inside Forward

Lino is the rare wide attacker who makes Serie A's defensive midfielders nervous not through pace or trickery alone, but through relentless ball circulation—his 40.7 passes per 90 ranks in the league's top 10%, an almost absurd volume for a forward. That passing load isn't filler either; his 0.32 assists per 90 places him in the top 20%, suggesting he's consistently threading the right balls at the right moments. The counterintuitive read here is his aerial presence—50% win rate in the top 20% for attackers—which hints at a physical dimension often invisible on highlight reels. The three most similar players to Samuel Lino by playing style are:

  • Tijjani Noslin(88% match)A Inside Forward. Statistically, he stands out as a capable chance creator (1.2 key passes/90), a constant goal threat (2.8 shots/90), a regular goalscorer (0.31 goals/90), a reliable supplier (0.15 assists/90) and draws fouls effectively (2.0/90). However, he loses possession under pressure (1.7 dispossessed/90).
  • Riccardo Orsolini(87% match)Orsolini is the kind of wide attacker who wins the ball like a midfielder and uses it like a forward—a combination rarer in Serie A than his modest reputation suggests. His duel win rate sits in the top 5% of attackers in the league, which means defenders simply cannot brush him off the ball in transition. He generates shots at a top-20% clip and carries the ball into dangerous areas with similar frequency, making him a genuine threat rather than a peripheral one.
  • Armand Laurienté(86% match)A Inside Forward. Statistically, he stands out as an elite creator (2.3 key passes/90), a proven goalscorer (0.42 goals/90), a prolific assist provider (0.42 assists/90) and creates high-quality scoring opportunities (0.52 big chances/90). However, he loses possession under pressure (1.7 dispossessed/90).

Transfer Intelligence

Tijjani Noslin delivers 88% of the same playing style, at 62% lower cost (€6.5M vs €17.0M), with 0.31 goals per 90 at age 26. That's 124% of Samuel Lino'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 →

S
Comparison Base
Samuel Lino
AttackerBrazil€17.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
T
Tijjani Noslin
Lazio · Serie A
Netherlands26yContract 2029
G/900.31
A/900.15
Inside ForwardSmall Sample
Last 5: → Stable
vs Lino: €11M cheaper · +0.06 G/90
88% match
€6.5M
#2
R
Riccardo Orsolini
Bologna · Serie A
Italy29yContract 2027
G/900.43
A/900.09
Last 5: → Stable
vs Lino: €8M more expensive · 3y older · +0.18 G/90
87% match
€25.0M
#3
A
Armand Laurienté
Sassuolo · Serie A
France27yContract 2027
G/900.42
A/900.42
Inside ForwardProlific
Last 5: → Stable
vs Lino: +0.17 G/90
86% match
€14.0M
#4
M
Matteo Politano 
Napoli · Serie A
Italy32yContract 2027
G/900.00
A/900.16
86% match
€8.0M
#5
M
Manor Solomon
Fiorentina · Serie A
Israel26yContract 2026
G/900.36
A/900.00
Inside ForwardDribbler
Last 5: ↓ Dip
86% match
€9.0M
#6
M
Matías Soulé
Roma · Serie A
Italy23yContract 2029
G/900.22
A/900.14
Last 5: ↓ Dip
85% match
€35.0M
#7
D
Domenico Berardi
Sassuolo · Serie A
Italy31yContract 2027
G/900.20
A/900.20
Small Sample
Last 5: ↑ Hot
85% match
€7.5M
#8
S
Samu Castillejo
Johor Darul Ta'zim · Serie A
Spain31y
G/900.00
A/900.00
Link-up StrikerSmall Sample
85% match
€21.3M
#9
M
Matteo Cancellieri
Lazio · Serie A
Italy24yContract 2027
G/900.25
A/900.08
Complete Forward
Last 5: ↓ Dip
85% match
€5.5M
#10
R
Rafael Leão
AC Milan · Serie A
Portugal26yContract 2028
G/900.00
A/900.33
Small Sample
85% match
€70.0M
#11
F
Federico Bonazzoli
Cremonese · Serie A
Italy28yContract 2028
G/900.28
A/900.14
Complete Forward
Last 5: ↑ Hot
85% match
€18.0M
#12
R
Riccardo Sottil
Lecce · Serie A
Italy26yContract 2026
G/900.14
A/900.00
Complete ForwardSmall Sample
85% match
€3.5M

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 Samuel Lino.

Ask AI about Samuel Lino

Frequently Asked Questions

Who are the best alternatives to Samuel Lino?
The top alternatives to Samuel Lino based on AI DNA playing style analysis include: Tijjani Noslin, Riccardo Orsolini, Armand Laurienté, Matteo Politano , Manor Solomon. 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 Samuel Lino in 2026?
Players with a similar profile to Samuel Lino in 2026 include Tijjani Noslin (€6.5M), Riccardo Orsolini (€25.0M), Armand Laurienté (€14.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Samuel Lino play and who plays similarly?
Samuel Lino plays as a Attacker. Players with a comparable positional profile include Tijjani Noslin (Netherlands, €6.5M); Riccardo Orsolini (Italy, €25.0M); Armand Laurienté (France, €14.0M); Matteo Politano  (Italy, €8.0M).
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.