RisingTransfers
AI DNA Similarity

Best Alternatives to Pizzi

Players most similar to Pizzi (Midfielder, €14.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Pizzi

  1. 1.Pablo Rosario84% DNA match·Porto€8.0M
  2. 2.Rodrigo Zalazar84% DNA match·Sporting Braga€22.0M
  3. 3.João Carvalho83% DNA match·Estoril€15.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 0%

A Creator....

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Playing Style Analysis

CreatorCreativeSmall Sample

A Creator. Statistically, he stands out as an elite creator (2.0 key passes/90), a prolific assist provider (0.77 assists/90), meticulous in distribution (87% pass accuracy), heavily involved in possession (64 passes/90), central to possession (75 touches/90) and top 10% creator in the league. Note: this profile is based on 587 minutes of playing time this season. The three most similar players to Pizzi by playing style are:

  • Pablo Rosario(84% match)Rosario is the kind of midfielder who quietly wins games with a clipboard rather than a highlight reel—a metronomic distributor whose 92.5% pass accuracy places him in Liga Portugal's top 10%, yet who rarely demands your attention doing it. His 7.58 passes into the final third per 90 puts him in the top 20% for progression, meaning the ball consistently moves forward through him, not around him. Here's the counterintuitive part: his 0.16 goals per 90 ranks top 20% in the league—quietly clinical for a player whose profile screams deep-lying organiser.
  • Rodrigo Zalazar(84% match)Zalazar is the kind of midfielder who makes defenders nervous and analysts reach for the asterisk at the same time. His 0.73 goals per 90 places him in the top 5% of Liga Portugal midfielders—a genuinely elite output that suggests a player arriving in the box with real conviction, not just volume. The dribble numbers (top 5%) and key pass rate (top 20%) reinforce a profile built around breaking lines and demanding the ball in tight spaces.
  • João Carvalho(83% match)Carvalho is the kind of midfielder who makes the final third feel smaller—a player whose game is built around arriving in dangerous spaces and punishing teams for letting him do so. His 0.25 goals and 0.46 assists per 90 both land in the top 10% of Liga Portugal midfielders, numbers that quietly tell a story of consistent, repeatable impact rather than lucky streaks. His passes into the final third rank in the top 20%, confirming this isn't accidental proximity to goal—he's actively driving play forward.

Transfer Intelligence

Pablo Rosario delivers 84% of the same playing style, at 43% lower cost (€8.0M vs €14.0M), with 0.46 key passes per 90 at age 29.

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

P
Comparison Base
Pizzi
MidfielderPortugal€14.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
P
Pablo Rosario
Porto · Liga Portugal
Netherlands29yContract 2029
KP/900.46
G/900.13
Box-to-Box
Last 5: ↓ Dip
vs Pizzi: €6M cheaper · 7y younger
84% match
€8.0M
#2
R
Rodrigo Zalazar
Sporting Braga · Liga Portugal
Uruguay26yContract 2028
KP/901.71
G/900.74
Creative PlaymakerGoal-Scoring Midfielder
Last 5: ↓ Dip
vs Pizzi: €8M more expensive · 10y younger
84% match
€22.0M
#3
J
João Carvalho
Estoril · Liga Portugal
Portugal29yContract 2027
KP/901.66
G/900.20
CreatorCreative
Last 5: ↓ Dip
vs Pizzi: 7y younger
83% match
€15.0M
#4
N
Niccolò Pisilli
Roma · Serie A
Italy21yContract 2029
KP/900.94
G/900.27
Chance Creator
Last 5: ↓ Dip
84% match
€12.0M
#5
R
Rodrigo Mora
Porto · Liga Portugal
Portugal19yContract 2030
KP/902.72
G/900.08
CreatorCreative
Last 5: → Stable
84% match
€38.0M
#6
M
Marko Grujić
AEK Athens · Liga Portugal
Serbia30y
KP/901.95
G/900.49
MetronomeDefensive
83% match
€9.0M
#7
L
Leandro Barreiro
Benfica · Liga Portugal
Luxembourg26yContract 2029
KP/901.09
G/900.16
Box-to-Box
Last 5: ↑ Hot
83% match
€15.0M
#8
V
Victor Froholdt
Porto · Liga Portugal
Denmark20yContract 2030
KP/900.97
G/900.19
Balanced Midfielder
Last 5: ↓ Dip
83% match
€30.0M
#9
M
Martim Neto
Elche · La Liga
Portugal23yContract 2028
KP/901.65
G/900.17
CreatorCreative
84% match
€5.0M
#10
J
João Simões
Sporting CP · Liga Portugal
Portugal19yContract 2030
KP/900.83
G/900.00
Box-to-BoxSmall Sample
Last 5: ↓ Dip
84% match
€15.0M
#11
G
Gonçalo Moreira
Benfica · Liga Portugal
Portugal20yContract 2029
KP/900.00
G/901.15
CreatorCreative
83% match
€5.0M
#12
A
André Almeida
Valencia · La Liga
Portugal25yContract 2028
KP/901.33
G/900.00
CreatorSmall Sample
83% match
€9.0M

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 Pizzi.

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Frequently Asked Questions

Who are the best alternatives to Pizzi?
The top alternatives to Pizzi based on AI DNA playing style analysis include: Pablo Rosario, Rodrigo Zalazar, João Carvalho, Niccolò Pisilli, Rodrigo Mora. 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 Pizzi in 2026?
Players with a similar profile to Pizzi in 2026 include Pablo Rosario (€8.0M), Rodrigo Zalazar (€22.0M), João Carvalho (€15.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Pizzi play and who plays similarly?
Pizzi plays as a Midfielder. Players with a comparable positional profile include Pablo Rosario (Netherlands, €8.0M); Rodrigo Zalazar (Uruguay, €22.0M); João Carvalho (Portugal, €15.0M); Niccolò Pisilli (Italy, €12.0M).
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.