RisingTransfers
AI DNA Similarity

Best Alternatives to Rafael Tolói

Players most similar to Rafael Tolói (Defender, €1.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Rafael Tolói

  1. 1.Berat Djimsiti86% DNA match·Atalanta€5.0M
  2. 2.Nicolò Bertola87% DNA match·Udinese€6.0M
  3. 3.Mariano Troilo86% DNA match·Parma€6.0M

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

RT

Intelligence Verdict

???Bottom 18%

Tolói remains the quintessential Serie A defensive veteran: a savvy...

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Playing Style Analysis

Ball-Playing CBAerialSmall Sample

Tolói remains the quintessential Serie A defensive veteran: a savvy, front-footed stopper who compensates for fading athleticism with an elite understanding of space and timing. While his limited 500 minutes this term suggest a player transitioning into a rotational role, his efficiency in the tackle remains remarkably sharp, winning 64.9% of his duels—a figure that places him firmly in the league’s top 20%. The data reveals a fascinating contradiction; though he ranks in the bottom tier for aerial volume, his 1.80 interceptions per 90 prove he is prioritizing anticipation over physical confrontation. The three most similar players to Rafael Tolói by playing style are:

  • Berat Djimsiti(86% match)Djimsiti has carved out a quietly indispensable role at Atalanta through a blend of aerial authority and positional discipline that rarely generates highlights but consistently generates clean sheets. His 2.90 aerials won per 90 places him in the top 20% of Serie A defenders—a figure that understates his real value, because in Atalanta's high-pressing system, winning second balls isn't cosmetic, it's structural. His 89.9% pass accuracy and 54.9 passes per 90 both rank in the top fifth of the league, meaning he's not just a stopper—he circulates possession with genuine comfort.
  • Nicolò Bertola(87% match)A Solid Defender. Statistically, he stands out as commanding in the air (4.4 clearances/90), uses long balls frequently (6.7/90) and active off the ball (2.1 press score/90), contributing to defensive transitions.
  • Mariano Troilo(86% match)A Ball-Playing CB. Statistically, he stands out as comfortable with both feet, active in the tackle (2.2 tackles/90), commanding in the air (7.8 clearances/90), reads the game exceptionally (1.8 interceptions/90), meticulous in distribution (90% pass accuracy), wins the physical battle (56% duel success) and active off the ball (2.5 press score/90), contributing to defensive transitions. Note: this profile is based on 541 minutes of playing time this season.

Transfer Intelligence

Berat Djimsiti delivers 86% of the same playing style, at a 400% premium over Rafael Tolói, with 1.93 tackles won per 90 at age 33.

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

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Comparison Base
Rafael Tolói
DefenderItaly€1.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
B
Berat Djimsiti
Atalanta · Serie A
Albania33yContract 2026
Tkl/901.93
KP/900.19
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Tolói: 2y younger
86% match
€5.0M
#2
N
Nicolò Bertola
Udinese · Serie A
Italy23yContract 2030
Tkl/901.78
KP/900.49
Solid DefenderAerial
vs Tolói: 12y younger
87% match
€6.0M
#3
M
Mariano Troilo
Parma · Serie A
Argentina22yContract 2030
Tkl/902.16
KP/900.33
Ball-Playing CBAerial
vs Tolói: 13y younger
86% match
€6.0M
#4
I
Isak Hien
Atalanta · Serie A
Sweden27yContract 2028
Tkl/902.44
KP/900.23
Ball-Playing CBAerial
Last 5: → Stable
86% match
€22.0M
#5
M
Manuel Akanji
Inter · Serie A
Switzerland30yContract 2026
Tkl/901.47
KP/900.20
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
84% match
€22.0M
#6
O
Oumar Solet
Udinese · Serie A
France26yContract 2027
Tkl/902.13
KP/900.67
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
84% match
€20.0M
#7
A
Abdoulaye Ndiaye
Parma · Serie A
Senegal24yContract 2029
Tkl/902.24
KP/900.00
Ball-Playing CBAerial
85% match
€6.5M
#8
A
Alessio Romagnoli
Lazio · Serie A
Italy31yContract 2027
Tkl/900.77
KP/900.18
Ball-Playing CBBall-Playing
Last 5: → Stable
84% match
€7.0M
#9
T
Thomas Kristensen
Udinese · Serie A
Denmark24yContract 2028
Tkl/901.08
KP/900.08
Physical StopperAerial
Last 5: ↓ Dip
85% match
€12.0M
#10
M
Martin Vitík
Bologna · Serie A
Czech Republic23yContract 2029
Tkl/902.06
KP/900.55
Aerial Defender
Last 5: → Stable
84% match
€10.0M
#11
G
Gaspar
Lecce · Serie A
Angola28yContract 2027
Tkl/901.22
KP/900.00
Ball-Playing CBAerial
84% match
€3.5M
#12
A
Alessandro Buongiorno
Napoli · Serie A
Italy26yContract 2029
Tkl/900.98
KP/900.00
Reading Defender
Last 5: ↑ Hot
84% match
€45.0M

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 Rafael Tolói.

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Frequently Asked Questions

Who are the best alternatives to Rafael Tolói?
The top alternatives to Rafael Tolói based on AI DNA playing style analysis include: Berat Djimsiti, Nicolò Bertola, Mariano Troilo, Isak Hien, Manuel Akanji. 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 Rafael Tolói in 2026?
Players with a similar profile to Rafael Tolói in 2026 include Berat Djimsiti (€5.0M), Nicolò Bertola (€6.0M), Mariano Troilo (€6.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Rafael Tolói play and who plays similarly?
Rafael Tolói plays as a Defender. Players with a comparable positional profile include Berat Djimsiti (Albania, €5.0M); Nicolò Bertola (Italy, €6.0M); Mariano Troilo (Argentina, €6.0M); Isak Hien (Sweden, €22.0M).
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.