RisingTransfers
AI DNA Similarity

Best Alternatives to Alessandro Zanoli

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

Top 3 Alternatives to Alessandro Zanoli

  1. 1.Nadir Zortea89% DNA match·Bologna€7.5M
  2. 2.Giovanni Di Lorenzo 87% DNA match·Napoli€10.0M
  3. 3.Emil Holm87% DNA match·Juventus€13.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 16%

A Active Full-Back....

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Playing Style Analysis

Active Full-Back

A Active Full-Back. Statistically, he stands out as a capable chance creator (1.1 key passes/90) and a reliable supplier (0.17 assists/90). The three most similar players to Alessandro Zanoli by playing style are:

  • Nadir Zortea(89% match)Zortea is the rare Serie A defender who creates more danger than most attacking midfielders—his 1.38 key passes per 90 ranks in the top 10% of the entire league among defenders, a figure that demands a double-take. His progressive passing and top-20% aerial win rate paint a picture of a physically assertive, attack-minded fullback who genuinely influences the final third, not just the buildup. Here's the counterintuitive part: his duel win rate sits in the bottom 10% of the league, yet his interceptions and tackles won both land above average—suggesting he reads the game well enough to avoid losing battles by not entering them.
  • Giovanni Di Lorenzo (87% match)Di Lorenzo is the rare full-back who makes a back four feel like a possession unit—a defender whose passing range does more damage than most midfielders. Playing for a mid-table Serie A side, he sits in the top 10% of his position for both passes into the final third and shots per 90, numbers that reveal an attacking output quietly outpacing his surroundings. His 85.8% pass accuracy and 58.1 passes per 90 confirm he's the engine of build-up, not just a participant.
  • Emil Holm(87% match)A Active Full-Back. Statistically, he stands out as a prolific assist provider (0.55 assists/90), an aggressive ball-winner (2.7 tackles/90), wins the physical battle (55% duel success), central to possession (72 touches/90), a high-intensity presser (press score 3.2/90), constantly disrupting opposition build-up and top 10% tackler in the league. Note: this profile is based on 656 minutes of playing time this season.

Transfer Intelligence

Nadir Zortea delivers 89% of the same playing style, at a 50% premium over Alessandro Zanoli, with 1.19 tackles won per 90 at age 26.

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

A
Comparison Base
Alessandro Zanoli
DefenderItaly€5.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
N
Nadir Zortea
Bologna · Serie A
Italy26yContract 2029
Tkl/901.19
KP/901.19
Last 5: → Stable
89% match
€7.5M
#2
G
Giovanni Di Lorenzo 
Napoli · Serie A
Italy32yContract 2028
Tkl/902.08
KP/900.67
Active Full-BackBall-Playing
vs Zanoli: 7y older
87% match
€10.0M
#3
E
Emil Holm
Juventus · Serie A
Sweden25yContract 2026
Tkl/902.74
KP/900.96
Active Full-BackSmall Sample
vs Zanoli: €8M more expensive
87% match
€13.0M
#4
R
Rafik Belghali
Hellas Verona · Serie A
Algeria23yContract 2029
Tkl/900.81
KP/901.28
Active Full-BackSmall Sample
Last 5: → Stable
87% match
€7.0M
#5
M
Marco Palestra
Cagliari · Serie A
Italy21yContract 2026
Tkl/901.70
KP/900.82
Active Full-Back
Last 5: → Stable
86% match
€25.0M
#6
R
Riccardo Calafiori
Arsenal · Premier League
Italy23yContract 2029
Tkl/901.81
KP/900.34
Active Full-Back
Last 5: → Stable
86% match
€50.0M
#7
T
Tariq Lamptey
Fiorentina · Serie A
Ghana25yContract 2028
Tkl/901.76
KP/900.52
Active Full-BackSmall Sample
87% match
€8.0M
#8
M
Mathías Olivera
Napoli · Serie A
Uruguay28yContract 2030
Tkl/902.59
KP/900.94
Active Full-BackBall-Playing
Last 5: ↓ Dip
86% match
€15.0M
#9
M
Mariano Troilo
Parma · Serie A
Argentina22yContract 2030
Tkl/902.16
KP/900.33
Ball-Playing CBAerial
86% match
€6.0M
#10
G
Gabriele Zappa
Cagliari · Serie A
Italy26yContract 2030
Tkl/901.79
KP/901.00
Active Full-BackSmall Sample
86% match
€4.0M
#11
P
Pierre Kalulu
Juventus · Serie A
France25yContract 2029
Tkl/902.17
KP/901.25
Ball-Playing CBBall-Playing
Last 5: → Stable
85% match
€32.0M
#12
A
Aarón Martín
Genoa · Serie A
Spain29yContract 2026
Tkl/901.84
KP/902.80
Solid Defender
Last 5: ↑ Hot
86% match
€7.0M

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 Alessandro Zanoli.

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Frequently Asked Questions

Who are the best alternatives to Alessandro Zanoli?
The top alternatives to Alessandro Zanoli based on AI DNA playing style analysis include: Nadir Zortea, Giovanni Di Lorenzo , Emil Holm, Rafik Belghali, Marco Palestra. 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 Alessandro Zanoli in 2026?
Players with a similar profile to Alessandro Zanoli in 2026 include Nadir Zortea (€7.5M), Giovanni Di Lorenzo  (€10.0M), Emil Holm (€13.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Alessandro Zanoli play and who plays similarly?
Alessandro Zanoli plays as a Defender. Players with a comparable positional profile include Nadir Zortea (Italy, €7.5M); Giovanni Di Lorenzo  (Italy, €10.0M); Emil Holm (Sweden, €13.0M); Rafik Belghali (Algeria, €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.