AI DNA Similarity
Best Alternatives to Nicolò Casale
Players most similar to Nicolò Casale (Defender, €5.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Nicolò Casale
- 1.Alessandro Buongiorno87% DNA match·Napoli€45.0M
- 2.Pierre Kalulu86% DNA match·Juventus€32.0M
- 3.Fikayo Tomori87% DNA match·AC Milan€20.0M
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
Chances MissedTop 0%
???Bottom 7%
“A Ball-Playing CB....”
See Full Verdict + Share Card →Playing Style Analysis
Ball-Playing CBAerialSmall Sample
A Ball-Playing CB. Statistically, he stands out as commanding in the air (8.0 clearances/90), meticulous in distribution (87% pass accuracy), wins the physical battle (56% duel success), dominant in the air (4.1 aerials won/90, 63%) and switches play with precision (7.6 long balls/90, 67% accuracy). Note: this profile is based on 677 minutes of playing time this season. The three most similar players to Nicolò Casale by playing style are:
- Alessandro Buongiorno(87% match) — Buongiorno has quietly become one of Serie A's most complete defensive operators — a centre-back who wins the ball without fanfare and moves it with purpose. His interception numbers place him in the top 10% of defenders in the league, which tells you something important: this isn't a defender who simply reacts, he anticipates. His 62.4 passes per 90 — top 10% — reflects a player genuinely involved in build-up, not just a safety valve.
- Pierre Kalulu(86% match) — Kalulu has quietly become one of Serie A's most progressive defenders — a ball-carrier in disguise wearing a centre-back's number. His 60.8 passes per 90 and 6.23 passes into the final third both land in the top 20-30% of defenders in the league, figures that reveal a player comfortable initiating attacks rather than simply recycling possession. His key passes per 90 (top 20%) are genuinely remarkable for a defender — higher than many midfielders — suggesting his influence on the final third is being systematically undervalued by clubs still scanning only defensive metrics.
- Fikayo Tomori(87% match) — A Ball-Playing CB. Statistically, he stands out as active in the tackle (2.2 tackles/90) and meticulous in distribution (90% pass accuracy). Note: this profile is based on 608 minutes of playing time this season.
Transfer Intelligence
Alessandro Buongiorno delivers 87% of the same playing style, at a 800% premium over Nicolò Casale, with 0.98 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 →
Similar Players — Ranked by DNA Similarity
#1
A
Alessandro Buongiorno
Napoli · Serie A
Italy26yContract 2029
Tkl/900.98
KP/900.00
Reading Defender
Last 5: ↑ Hotvs Casale: €40M more expensive · 2y younger
87% match
€45.0M
#2
P
Pierre Kalulu
Juventus · Serie A
France25yContract 2029
Tkl/902.17
KP/901.25
Ball-Playing CBBall-Playing
Last 5: → Stablevs Casale: €27M more expensive · 3y younger
86% match
€32.0M
#3
F
Fikayo Tomori
AC Milan · Serie A
England28yContract 2027
Tkl/902.22
KP/900.00
Ball-Playing CBSmall Sample
Last 5: ↓ Dipvs Casale: €15M more expensive
87% match
€20.0M
#4
G
Giorgio Scalvini
Atalanta · Serie A
Italy22yContract 2028
Tkl/902.06
KP/900.72
Ball-Playing CBBall-Playing
Last 5: → Stable86% match
€25.0M
#5
T
Thomas Kristensen
Udinese · Serie A
Denmark24yContract 2028
Tkl/901.08
KP/900.08
Physical StopperAerial
Last 5: ↓ Dip87% match
€12.0M
#6
M
Mariano Troilo
Parma · Serie A
Argentina22yContract 2030
Tkl/902.16
KP/900.33
Ball-Playing CBAerial
87% match
€6.0M
#7
D
Daniele Ghilardi
Roma · Serie A
Italy23yContract 2026
Tkl/902.53
KP/900.34
Ball-Playing CBAerial
Last 5: ↑ Hot87% match
€8.0M
#8
O
Oumar Solet
Udinese · Serie A
France26yContract 2027
Tkl/902.13
KP/900.67
Ball-Playing CBBall-Playing
Last 5: ↑ Hot86% match
€20.0M
#9
S
Simone Canestrelli
Pisa · Serie A
Italy25yContract 2028
Tkl/901.19
KP/900.30
Physical StopperAerial
Last 5: → Stable86% match
€7.0M
#10
A
Amir Rrahmani
Napoli · Serie A
Kosovo32yContract 2027
Tkl/901.14
KP/900.07
Ball-Playing CBBall-Playing
Last 5: ↓ Dip86% match
€12.0M
#11
Y
Yann Bisseck
Inter · Serie A
Germany25yContract 2029
Tkl/900.98
KP/900.20
86% match
€35.0M
#12
A
Alessandro Circati
Parma · Serie A
Australia22yContract 2029
Tkl/901.67
KP/900.17
Ball-Playing CBAerial
Last 5: → Stable86% match
€8.0M
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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 Nicolò Casale.
Ask AI about Nicolò Casale →Frequently Asked Questions
Who are the best alternatives to Nicolò Casale?▼
The top alternatives to Nicolò Casale based on AI DNA playing style analysis include: Alessandro Buongiorno, Pierre Kalulu, Fikayo Tomori, Giorgio Scalvini, Thomas Kristensen. 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 Nicolò Casale in 2026?▼
Players with a similar profile to Nicolò Casale in 2026 include Alessandro Buongiorno (€45.0M), Pierre Kalulu (€32.0M), Fikayo Tomori (€20.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Nicolò Casale play and who plays similarly?▼
Nicolò Casale plays as a Defender. Players with a comparable positional profile include Alessandro Buongiorno (Italy, €45.0M); Pierre Kalulu (France, €32.0M); Fikayo Tomori (England, €20.0M); Giorgio Scalvini (Italy, €25.0M).
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.