RisingTransfers
AI DNA Similarity

Best Alternatives to Sandro Tonali

Players most similar to Sandro Tonali (Midfielder, €80.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Sandro Tonali

  1. 1.Manuel Locatelli88% DNA match·Juventus€25.0M
  2. 2.Joelinton88% DNA match·Newcastle United€30.0M
  3. 3.Bruno Guimarães87% DNA match·Newcastle United€75.0M

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

RT

Intelligence Verdict

Ball RecoveriesTop 16%

A Ball-Winner....

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Playing Style Analysis

Ball-Winner

A Ball-Winner. Statistically, he stands out as a capable chance creator (1.1 key passes/90), penetrates with forward passing (9.0 final-third passes/90), central to possession (71 touches/90), uses long balls frequently (5.3/90) and active off the ball (2.7 press score/90), contributing to defensive transitions. The three most similar players to Sandro Tonali by playing style are:

  • Manuel Locatelli(88% match)Locatelli has spent years being the midfielder that makes everything work without ever making the highlight reel—and the numbers finally prove why that matters. Operating in Serie A's congested midfield battles, he ranks in the top 5% for passes per 90, tackles won, press intensity, and passes into the final third simultaneously; finding a player who dominates all four categories at once is genuinely rare. The counterintuitive read here is his goal contribution figures, which look pedestrian until you understand he's essentially the engine redistributing possession upward—those 15-plus progressive passes per 90 are what create the chances others finish.
  • Joelinton(88% match)A Box-to-Box. Statistically, he stands out as active in the tackle (2.0 tackles/90), heavily involved in play (55 touches/90) and a high-intensity presser (press score 3.0/90), constantly disrupting opposition build-up.
  • Bruno Guimarães(87% match)A Creator. Statistically, he stands out as an elite creator (1.8 key passes/90), a regular goalscorer (0.35 goals/90), a reliable supplier (0.20 assists/90), active in the tackle (2.2 tackles/90), meticulous in distribution (86% pass accuracy), central to possession (73 touches/90), draws fouls effectively (2.6/90), active off the ball (2.6 press score/90), contributing to defensive transitions and top 20% creator in the league. However, he loses possession under pressure (1.7 dispossessed/90).

Transfer Intelligence

Manuel Locatelli delivers 88% of the same playing style, at 69% lower cost (€25.0M vs €80.0M), with 1.88 key passes per 90 at age 28.

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

S
Comparison Base
Sandro Tonali
MidfielderItaly€80.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
M
Manuel Locatelli
Juventus · Serie A
Italy28yContract 2028
KP/901.88
G/900.00
MetronomeDefensive
Last 5: ↓ Dip
vs Tonali: €55M cheaper · 2y older
88% match
€25.0M
#2
J
Joelinton
Newcastle United · Premier League
Brazil29yContract 2028
KP/900.78
G/900.09
Box-to-Box
Last 5: ↓ Dip
vs Tonali: €50M cheaper · 3y older
88% match
€30.0M
#3
B
Bruno Guimarães
Newcastle United · Premier League
Brazil28yContract 2028
KP/901.80
G/900.35
CreatorCreative
Last 5: → Stable
vs Tonali: 2y older
87% match
€75.0M
#4
S
Sean Longstaff
Leeds United · Premier League
England28yContract 2029
KP/902.28
G/900.18
Ball-WinnerCreative
Last 5: ↑ Hot
88% match
€18.0M
#5
D
Dominik Szoboszlai
Liverpool · Premier League
Hungary25yContract 2028
KP/902.00
G/900.18
CreatorCreative
Last 5: → Stable
86% match
€100.0M
#6
N
Nicolò Fagioli
Fiorentina · Serie A
Italy25yContract 2028
KP/902.74
G/900.06
Elite Playmaker
Last 5: ↓ Dip
86% match
€14.0M
#7
M
Martín Zubimendi
Arsenal · Premier League
Spain27yContract 2030
KP/900.59
G/900.15
Metronome
Last 5: ↑ Hot
85% match
€80.0M
#8
M
Máximo Perrone
Como · Serie A
Argentina23yContract 2029
KP/900.93
G/900.17
Metronome
Last 5: → Stable
86% match
€25.0M
#9
N
Nicolò Barella
Inter · Serie A
Italy29yContract 2029
KP/903.44
G/900.08
MetronomeCreative
Last 5: → Stable
85% match
€60.0M
#10
J
Joe Willock
Newcastle United · Premier League
England26yContract 2027
KP/901.16
G/900.11
Balanced MidfielderSmall Sample
Last 5: ↑ Hot
85% match
€16.0M
#11
A
Aurélien Tchouaméni
Real Madrid · La Liga
France26yContract 2028
KP/900.70
G/900.06
Metronome
Last 5: ↓ Dip
85% match
€75.0M
#12
K
Khéphren Thuram
Juventus · Serie A
France25yContract 2029
KP/901.22
G/900.00
Chance Creator
85% match
€40.0M

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 Sandro Tonali.

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Frequently Asked Questions

Who are the best alternatives to Sandro Tonali?
The top alternatives to Sandro Tonali based on AI DNA playing style analysis include: Manuel Locatelli, Joelinton, Bruno Guimarães, Sean Longstaff, Dominik Szoboszlai. 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 Sandro Tonali in 2026?
Players with a similar profile to Sandro Tonali in 2026 include Manuel Locatelli (€25.0M), Joelinton (€30.0M), Bruno Guimarães (€75.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Sandro Tonali play and who plays similarly?
Sandro Tonali plays as a Midfielder. Players with a comparable positional profile include Manuel Locatelli (Italy, €25.0M); Joelinton (Brazil, €30.0M); Bruno Guimarães (Brazil, €75.0M); Sean Longstaff (England, €18.0M).
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.