RisingTransfers
AI DNA Similarity

Best Alternatives to Oumar Solet

Players most similar to Oumar Solet (Defender, €20.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Oumar Solet

  1. 1.Lloyd Kelly87% DNA match·Juventus€20.0M
  2. 2.Jacobo Ramón86% DNA match·Como€18.0M
  3. 3.Nicolò Bertola87% DNA match·Udinese€6.0M

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

RT

Intelligence Verdict

Press IntensityTop 5%
???Bottom 13%

A Ball-Playing CB....

See Full Verdict + Share Card →

Playing Style Analysis

Ball-Playing CBBall-Playing

A Ball-Playing CB. Statistically, he stands out as active in the tackle (2.1 tackles/90), reads the game exceptionally (1.6 interceptions/90), meticulous in distribution (89% pass accuracy), wins the physical battle (59% duel success), heavily involved in possession (61 passes/90), central to possession (78 touches/90), switches play with precision (7.3 long balls/90, 61% accuracy) and active off the ball (2.8 press score/90), contributing to defensive transitions. The three most similar players to Oumar Solet by playing style are:

  • Lloyd Kelly(87% match)Kelly has quietly become one of Serie A's most complete defensive presences — a left-sided centre-back who dominates physically without sacrificing technical composure. His aerial win rate sits in the top 10% of the league, and crucially, he wins those duels at volume too — 3.00 per 90 puts him in the top 20% for aerial output. The counterintuitive finding here is his dribbling: 0.57 per 90 in the top 20% for a defender signals genuine ball-carrying confidence, which explains why his 60.2 passes per 90 doesn't just represent safety-first recycling but active progression.
  • Jacobo Ramón(86% match)A Ball-Playing CB. Statistically, he stands out as active in the tackle (1.9 tackles/90), meticulous in distribution (91% pass accuracy), wins the physical battle (63% duel success), heavily involved in possession (73 passes/90), central to possession (87 touches/90), dominant in the air (3.7 aerials won/90, 70%) and active off the ball (2.4 press score/90), contributing to defensive transitions.
  • 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.

Transfer Intelligence

Lloyd Kelly delivers 87% of the same playing style, with 1.77 tackles won per 90 at age 27.

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

O
Comparison Base
Oumar Solet
DefenderFrance€20.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
L
Lloyd Kelly
Juventus · Serie A
England27yContract 2029
Tkl/901.77
KP/900.11
Ball-Playing CBBall-Playing
Last 5: → Stable
87% match
€20.0M
#2
J
Jacobo Ramón
Como · Serie A
Spain21yContract 2030
Tkl/901.95
KP/900.43
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
vs Solet: 5y younger
86% match
€18.0M
#3
N
Nicolò Bertola
Udinese · Serie A
Italy23yContract 2030
Tkl/901.78
KP/900.49
Solid DefenderAerial
vs Solet: €14M cheaper · 3y younger
87% match
€6.0M
#4
M
Mariano Troilo
Parma · Serie A
Argentina22yContract 2030
Tkl/902.16
KP/900.33
Ball-Playing CBAerial
86% match
€6.0M
#5
P
Pierre Kalulu
Juventus · Serie A
France25yContract 2029
Tkl/902.17
KP/901.25
Ball-Playing CBBall-Playing
Last 5: → Stable
86% match
€32.0M
#6
I
Isak Hien
Atalanta · Serie A
Sweden27yContract 2028
Tkl/902.44
KP/900.23
Ball-Playing CBAerial
Last 5: → Stable
85% match
€22.0M
#7
N
Nicolò Casale
Bologna · Serie A
Italy28yContract 2028
Tkl/900.63
KP/900.63
Ball-Playing CBAerial
Last 5: ↑ Hot
86% match
€5.0M
#8
E
Evan Ndicka
Roma · Serie A
France26yContract 2028
Tkl/900.85
KP/900.18
Ball-Playing CBBall-Playing
Last 5: → Stable
85% match
€30.0M
#9
Y
Yann Bisseck
Inter · Serie A
Germany25yContract 2029
Tkl/900.98
KP/900.20
Last 5: ↓ Dip
86% match
€35.0M
#10
G
Gianluca Mancini
Roma · Serie A
Italy30yContract 2027
Tkl/901.75
KP/900.78
Ball-Playing CB
Last 5: ↓ Dip
85% match
€15.0M
#11
A
Alessandro Bastoni
Inter · Serie A
Italy27yContract 2028
Tkl/902.31
KP/901.16
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
85% match
€80.0M
#12
O
Odilon Kossounou
Atalanta · Serie A
Ivory Coast25yContract 2029
Tkl/901.33
KP/900.11
Ball-Playing CBBall-Playing
Last 5: → Stable
85% match
€22.0M

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 Oumar Solet.

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Frequently Asked Questions

Who are the best alternatives to Oumar Solet?
The top alternatives to Oumar Solet based on AI DNA playing style analysis include: Lloyd Kelly, Jacobo Ramón, Nicolò Bertola, Mariano Troilo, Pierre Kalulu. 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 Oumar Solet in 2026?
Players with a similar profile to Oumar Solet in 2026 include Lloyd Kelly (€20.0M), Jacobo Ramón (€18.0M), Nicolò Bertola (€6.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Oumar Solet play and who plays similarly?
Oumar Solet plays as a Defender. Players with a comparable positional profile include Lloyd Kelly (England, €20.0M); Jacobo Ramón (Spain, €18.0M); Nicolò Bertola (Italy, €6.0M); Mariano Troilo (Argentina, €6.0M).
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.