RisingTransfers
AI DNA Similarity

Best Alternatives to Agustín Canobbio

Players most similar to Agustín Canobbio (Attacker, €6.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Agustín Canobbio

  1. 1.Federico Bonazzoli87% DNA match·Cremonese€18.0M
  2. 2.Santiago Castro87% DNA match·Bologna€35.0M
  3. 3.Nicolò Cambiaghi86% DNA match·Bologna€18.0M

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

RT

Intelligence Verdict

DribblesTop 18%

A Inside Forward....

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Playing Style Analysis

Inside ForwardSmall Sample

A Inside Forward. Statistically, he stands out as a capable chance creator (1.4 key passes/90), a regular goalscorer (0.35 goals/90) and meticulous in distribution (86% pass accuracy). Note: this profile is based on 781 minutes of playing time this season. The three most similar players to Agustín Canobbio by playing style are:

  • Federico Bonazzoli(87% match)A Complete Forward. Statistically, he stands out as a regular goalscorer (0.28 goals/90), meticulous in distribution (86% pass accuracy) and draws fouls effectively (2.5/90).
  • Santiago Castro(87% match)Castro arrived in Serie A as a teenager and has quietly built a profile that rewards closer inspection than his modest surface numbers suggest. His 0.37 goals per 90 places him above average among Serie A forwards, and his shot volume backs that up — 2.49 attempts per 90 puts him in elite attacking territory. The counterintuitive read here is his pass accuracy: at 70.9%, it looks damning, but his passes-per-90 sits in the bottom 10% of the league, meaning he's not a distributor at all — he's a finisher operating in tight spaces where clean execution is harder.
  • Nicolò Cambiaghi(86% match)Cambiaghi is the rare forward who earns his place through relentless service rather than spectacular finishing—a creator wearing a striker's shirt. His 0.27 assists per 90 ranks in Serie A's top 10%, yet his goals return sits stubbornly average, which tells you exactly where his value lives: in the final pass, not the final touch. What the assist numbers don't immediately reveal is his defensive engine—tackles won in the top 10% league-wide is extraordinary for an attacker, suggesting a pressing machine who genuinely disrupts rather than just gestures at it.

Transfer Intelligence

Federico Bonazzoli delivers 87% of the same playing style, at a 200% premium over Agustín Canobbio, with 0.28 goals per 90 at age 28. That's 82% of Agustín Canobbio'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 →

A
Comparison Base
Agustín Canobbio
AttackerUruguay€6.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
F
Federico Bonazzoli
Cremonese · Serie A
Italy28yContract 2028
G/900.28
A/900.14
Complete Forward
Last 5: ↑ Hot
vs Canobbio: €12M more expensive · -0.06 G/90
87% match
€18.0M
#2
S
Santiago Castro
Bologna · Serie A
Argentina21yContract 2028
G/900.43
A/900.09
Last 5: ↓ Dip
vs Canobbio: €29M more expensive · 6y younger · +0.08 G/90
87% match
€35.0M
#3
N
Nicolò Cambiaghi
Bologna · Serie A
Italy25yContract 2029
G/900.22
A/900.22
Last 5: ↓ Dip
vs Canobbio: €12M more expensive · 2y younger · -0.12 G/90
86% match
€18.0M
#4
M
Matías Soulé
Roma · Serie A
Italy23yContract 2029
G/900.22
A/900.14
Last 5: ↓ Dip
86% match
€35.0M
#5
G
Giovane
Napoli · Serie A
Brazil22yContract 2029
G/900.20
A/900.10
Complete ForwardSmall Sample
86% match
€12.0M
#6
M
Matteo Cancellieri
Lazio · Serie A
Italy24yContract 2027
G/900.25
A/900.08
Complete Forward
Last 5: ↓ Dip
85% match
€5.5M
#7
B
Brenner
Vasco da Gama · Serie A
Brazil26yContract 2029
G/900.21
A/900.21
Complete ForwardProlific
Last 5: ↓ Dip
85% match
€4.0M
#8
A
Armand Laurienté
Sassuolo · Serie A
France27yContract 2027
G/900.42
A/900.42
Inside ForwardProlific
Last 5: → Stable
85% match
€14.0M
#9
D
Domenico Berardi
Sassuolo · Serie A
Italy31yContract 2027
G/900.20
A/900.20
Small Sample
Last 5: ↑ Hot
85% match
€7.5M
#10
A
Ange-Yoan Bonny
Inter · Serie A
France22yContract 2030
G/900.48
A/900.96
PoacherProlific
Last 5: ↓ Dip
85% match
€35.0M
#11
P
Pietro Pellegri
Empoli · Serie A
Italy25yContract 2026
G/900.78
A/900.52
Small Sample
84% match
€5.0M
#12
K
Kamaldeen Sulemana
Atalanta · Serie A
Ghana24yContract 2029
G/900.21
A/900.21
Dynamic ForwardDribbler
Last 5: ↓ Dip
84% match
€18.0M

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 Agustín Canobbio.

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Frequently Asked Questions

Who are the best alternatives to Agustín Canobbio?
The top alternatives to Agustín Canobbio based on AI DNA playing style analysis include: Federico Bonazzoli, Santiago Castro, Nicolò Cambiaghi, Matías Soulé, Giovane. 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 Agustín Canobbio in 2026?
Players with a similar profile to Agustín Canobbio in 2026 include Federico Bonazzoli (€18.0M), Santiago Castro (€35.0M), Nicolò Cambiaghi (€18.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Agustín Canobbio play and who plays similarly?
Agustín Canobbio plays as a Attacker. Players with a comparable positional profile include Federico Bonazzoli (Italy, €18.0M); Santiago Castro (Argentina, €35.0M); Nicolò Cambiaghi (Italy, €18.0M); Matías Soulé (Italy, €35.0M).
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.