RisingTransfers
AI DNA Similarity

Best Alternatives to Simone Romagnoli

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

Top 3 Alternatives to Simone Romagnoli

  1. 1.Alessio Romagnoli92% DNA match·Lazio€7.0M
  2. 2.Marc Guéhi86% DNA match·Manchester City€65.0M
  3. 3.Fikayo Tomori86% DNA match·AC Milan€20.0M

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

RT

Intelligence Verdict

Aerials WonTop 11%
???Bottom 0%

Romagnoli serves as the quintessential defensive anchor for a Tier C side...

See Full Verdict + Share Card →

Playing Style Analysis

Ball-Playing CBAerialSmall Sample

Romagnoli serves as the quintessential defensive anchor for a Tier C side, functioning less as a modern "rover" and more as a high-fidelity distribution hub with an elite sense of timing. While his 653 minutes represent a partial sample, the data screams efficiency; his 90.2% pass accuracy places him in the league's top decile, yet he isn't just stat-padding with lateral balls. He couples this composure with a monstrous 71.4% duel win rate, a figure that puts him in the top 5% of his peers and suggests a defender who rarely loses his footing when the line is breached. The three most similar players to Simone Romagnoli by playing style are:

  • Alessio Romagnoli(92% match)A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (4.8 clearances/90), meticulous in distribution (92% pass accuracy), wins the physical battle (57% duel success), heavily involved in possession (66 passes/90) and central to possession (76 touches/90).
  • Marc Guéhi(86% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (5.2 clearances/90), meticulous in distribution (85% pass accuracy), wins the physical battle (64% duel success), uses long balls frequently (6.3/90) and active off the ball (2.5 press score/90), contributing to defensive transitions.
  • Fikayo Tomori(86% 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

Alessio Romagnoli delivers 92% of the same playing style, at a 600% premium over Simone Romagnoli, with 0.77 tackles won per 90 at age 31.

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

S
Comparison Base
Simone Romagnoli
DefenderItaly€1.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
A
Alessio Romagnoli
Lazio · Serie A
Italy31yContract 2027
Tkl/900.77
KP/900.18
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Romagnoli: €6M more expensive · 5y younger
92% match
€7.0M
#2
M
Marc Guéhi
Manchester City · Premier League
England25yContract 2026
Tkl/901.55
KP/900.45
Ball-Playing CBAerial
Last 5: → Stable
vs Romagnoli: €64M more expensive · 11y younger
86% match
€65.0M
#3
F
Fikayo Tomori
AC Milan · Serie A
England28yContract 2027
Tkl/902.22
KP/900.00
Ball-Playing CBSmall Sample
Last 5: ↓ Dip
vs Romagnoli: €19M more expensive · 8y younger
86% match
€20.0M
#4
N
Nico Elvedi
Borussia Mönchengladbach · Bundesliga
Switzerland29yContract 2027
Tkl/901.70
KP/900.20
Ball-Playing CBAerial
85% match
€4.0M
#5
G
Gianluca Mancini
Roma · Serie A
Italy30yContract 2027
Tkl/901.75
KP/900.78
Ball-Playing CB
Last 5: ↓ Dip
85% match
€15.0M
#6
G
Giovanni Leoni
Liverpool · Premier League
Italy19yContract 2031
Tkl/901.05
KP/900.07
Ball-Playing CBAerial
84% match
€25.0M
#7
J
Joachim Andersen
Fulham · Premier League
Denmark29yContract 2029
Tkl/901.41
KP/900.22
Ball-Playing CBBall-Playing
Last 5: → Stable
84% match
€25.0M
#8
K
Kristoffer Ajer
Brentford · Premier League
Norway28yContract 2028
Tkl/901.87
KP/900.26
Physical StopperAerial
Last 5: ↓ Dip
84% match
€18.0M
#9
T
Tiago Gabriel
Lecce · Serie A
Portugal21yContract 2027
Tkl/901.37
KP/900.05
Ball-Playing CBAerial
Last 5: ↓ Dip
84% match
€15.0M
#10
W
William Saliba
Arsenal · Premier League
France25yContract 2027
Tkl/901.28
KP/900.36
Ball-Playing CBBall-Playing
Last 5: → Stable
84% match
€90.0M
#11
T
Trevoh Chalobah
Chelsea · Premier League
England26yContract 2028
Tkl/901.15
KP/900.16
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
84% match
€40.0M
#12
P
Pierre Kalulu
Juventus · Serie A
France25yContract 2029
Tkl/902.17
KP/901.25
Ball-Playing CBBall-Playing
Last 5: → Stable
84% match
€32.0M

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 Simone Romagnoli.

Ask AI about Simone Romagnoli

Frequently Asked Questions

Who are the best alternatives to Simone Romagnoli?
The top alternatives to Simone Romagnoli based on AI DNA playing style analysis include: Alessio Romagnoli, Marc Guéhi, Fikayo Tomori, Nico Elvedi, Gianluca Mancini. 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 Simone Romagnoli in 2026?
Players with a similar profile to Simone Romagnoli in 2026 include Alessio Romagnoli (€7.0M), Marc Guéhi (€65.0M), 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 Simone Romagnoli play and who plays similarly?
Simone Romagnoli plays as a Defender. Players with a comparable positional profile include Alessio Romagnoli (Italy, €7.0M); Marc Guéhi (England, €65.0M); Fikayo Tomori (England, €20.0M); Nico Elvedi (Switzerland, €4.0M).
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.