RisingTransfers
AI DNA Similarity

Best Alternatives to Lloyd Kelly

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

Top 3 Alternatives to Lloyd Kelly

  1. 1.Oumar Solet87% DNA match·Udinese€20.0M
  2. 2.Pierre Kalulu86% DNA match·Juventus€32.0M
  3. 3.Thomas Kristensen87% DNA match·Udinese€12.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 15%

Kelly has quietly become one of Serie A's most complete defensive presences...

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Playing Style Analysis

Ball-Playing CBBall-Playing

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. The three most similar players to Lloyd Kelly by playing style are:

  • Oumar Solet(87% match)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.
  • 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.
  • Thomas Kristensen(87% match)A Physical Stopper. Statistically, he stands out as commanding in the air (5.8 clearances/90) and wins the physical battle (57% duel success).

Transfer Intelligence

Oumar Solet delivers 87% of the same playing style, with 2.13 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 →

L
Comparison Base
Lloyd Kelly
DefenderEngland€20.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
O
Oumar Solet
Udinese · Serie A
France26yContract 2027
Tkl/902.13
KP/900.67
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
87% match
€20.0M
#2
P
Pierre Kalulu
Juventus · Serie A
France25yContract 2029
Tkl/902.17
KP/901.25
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Kelly: €12M more expensive · 2y younger
86% match
€32.0M
#3
T
Thomas Kristensen
Udinese · Serie A
Denmark24yContract 2028
Tkl/901.08
KP/900.08
Physical StopperAerial
Last 5: ↓ Dip
vs Kelly: €8M cheaper · 3y younger
87% match
€12.0M
#4
F
Fikayo Tomori
AC Milan · Serie A
England28yContract 2027
Tkl/902.22
KP/900.00
Ball-Playing CBSmall Sample
Last 5: ↓ Dip
87% match
€20.0M
#5
C
Carlos Augusto
Inter · Serie A
Brazil27yContract 2028
Tkl/902.48
KP/900.83
Active Full-BackBall-Playing
Last 5: ↓ Dip
86% match
€26.0M
#6
J
Jacobo Ramón
Como · Serie A
Spain21yContract 2030
Tkl/901.95
KP/900.43
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
86% match
€18.0M
#7
T
Tarik Muharemović
Sassuolo · Serie A
Bosnia and Herzegovina23yContract 2031
Tkl/901.36
KP/900.09
Ball-Playing CBAerial
Last 5: → Stable
85% match
€20.0M
#8
A
Armel Bella-Kotchap
Hellas Verona · Serie A
Germany24yContract 2030
Tkl/901.16
KP/900.00
Physical StopperAerial
86% match
€7.5M
#9
M
Manuel Akanji
Inter · Serie A
Switzerland30yContract 2026
Tkl/901.47
KP/900.20
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
85% match
€22.0M
#10
J
Johan Vásquez
Genoa · Serie A
Mexico27yContract 2027
Tkl/901.67
KP/900.17
Ball-Playing CBBall-Playing
Last 5: → Stable
85% match
€13.0M
#11
L
Leo Østigård
Genoa · Serie A
Norway26yContract 2026
Tkl/901.74
KP/900.32
Ball-Playing CBBall-Playing
Last 5: → Stable
86% match
€10.0M
#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 Lloyd Kelly.

Ask AI about Lloyd Kelly

Frequently Asked Questions

Who are the best alternatives to Lloyd Kelly?
The top alternatives to Lloyd Kelly based on AI DNA playing style analysis include: Oumar Solet, Pierre Kalulu, Thomas Kristensen, Fikayo Tomori, Carlos Augusto. 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 Lloyd Kelly in 2026?
Players with a similar profile to Lloyd Kelly in 2026 include Oumar Solet (€20.0M), Pierre Kalulu (€32.0M), Thomas Kristensen (€12.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Lloyd Kelly play and who plays similarly?
Lloyd Kelly plays as a Defender. Players with a comparable positional profile include Oumar Solet (France, €20.0M); Pierre Kalulu (France, €32.0M); Thomas Kristensen (Denmark, €12.0M); Fikayo Tomori (England, €20.0M).
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.