RisingTransfers
AI DNA Similarity

Best Alternatives to Caleb Okoli

Players most similar to Caleb Okoli (Defender, €12.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Caleb Okoli

  1. 1.Jake O'Brien85% DNA match·Everton€16.0M
  2. 2.Nathan Collins85% DNA match·Brentford€35.0M
  3. 3.Kevin Danso86% DNA match·Tottenham Hotspur€22.0M

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

RT

Intelligence Verdict

InterceptionsTop 14%
???Bottom 25%

Okoli is the kind of Championship defender who wins aerial battles before the striker has even jumped...

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Playing Style Analysis

Ball-Playing CBBall-PlayingAerial

Okoli is the kind of Championship defender who wins aerial battles before the striker has even jumped — a quietly dominant presence whose 62.5% aerial win rate places him in the top 20% of the division, a league where physical duels decide points every single week. His 1.53 interceptions per 90 tells the deeper story: this isn't a reactive defender, it's a reader of the game, someone who kills attacks through positioning rather than desperation. The counterintuitive detail is his pass accuracy of 86.3% — solid but not spectacular — which actually undersells how often he's distributing under pressure in a mid-block system. The three most similar players to Caleb Okoli by playing style are:

  • Jake O'Brien(85% match)A Defender. Statistically, he stands out as commanding in the air (4.2 clearances/90), wins the physical battle (62% duel success) and dominant in the air (3.4 aerials won/90, 65%).
  • Nathan Collins(85% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (6.2 clearances/90), wins the physical battle (56% duel success), uses long balls frequently (7.5/90) and active off the ball (2.1 press score/90), contributing to defensive transitions.
  • Kevin Danso(86% match)A Ball-Playing CB. Statistically, he stands out as active in the tackle (1.9 tackles/90), commanding in the air (8.3 clearances/90), meticulous in distribution (86% pass accuracy), wins the physical battle (62% duel success), central to possession (78 touches/90), dominant in the air (4.8 aerials won/90, 63%) and uses long balls frequently (6.0/90).

Transfer Intelligence

Jake O'Brien delivers 85% of the same playing style, at a 33% premium over Caleb Okoli, with 1.66 tackles won per 90 at age 24.

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

C
Comparison Base
Caleb Okoli
DefenderItaly€12.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
J
Jake O'Brien
Everton · Premier League
Republic of Ireland24yContract 2028
Tkl/901.66
KP/900.48
Aerial
Last 5: → Stable
85% match
€16.0M
#2
N
Nathan Collins
Brentford · Premier League
Republic of Ireland25yContract 2029
Tkl/900.90
KP/900.32
Ball-Playing CBAerial
Last 5: → Stable
vs Okoli: €23M more expensive
85% match
€35.0M
#3
K
Kevin Danso
Tottenham Hotspur · Premier League
Austria27yContract 2030
Tkl/901.84
KP/900.20
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Okoli: €10M more expensive · 3y older
86% match
€22.0M
#4
M
Murillo
Nottingham Forest · Premier League
Brazil23yContract 2029
Tkl/901.48
KP/900.38
Ball-Playing CBAerial
Last 5: → Stable
84% match
€12.0M
#5
I
Ibrahima Konaté
Liverpool · Premier League
France26yContract 2026
Tkl/901.60
KP/900.22
Ball-Playing CBBall-Playing
Last 5: → Stable
84% match
€50.0M
#6
D
Dan Ballard
Sunderland · Premier League
Northern Ireland26yContract 2028
Tkl/901.38
KP/900.67
Ball-Playing CBAerial
Last 5: → Stable
83% match
€20.0M
#7
J
Jaka Bijol
Leeds United · Premier League
Slovenia27yContract 2030
Tkl/901.30
KP/900.36
Ball-Playing CBAerial
Last 5: ↓ Dip
83% match
€18.0M
#8
A
Andreas Hanche-Olsen
FSV Mainz 05 · Bundesliga
Norway29yContract 2028
Tkl/901.05
KP/900.21
Ball-Playing CBAerial
84% match
€5.0M
#9
J
James Hill
AFC Bournemouth · Premier League
England24yContract 2026
Tkl/901.77
KP/900.61
Physical StopperAerial
Last 5: → Stable
84% match
€15.0M
#10
S
Sepp van den Berg
Brentford · Premier League
Netherlands24yContract 2029
Tkl/900.64
KP/900.20
Ball-Playing CBAerial
Last 5: → Stable
83% match
€28.0M
#11
M
Maximilian Kilman
West Ham United · Premier League
England28yContract 2031
Tkl/900.92
KP/900.23
Ball-Playing CBAerial
83% match
€22.0M
#12
T
Trevoh Chalobah
Chelsea · Premier League
England26yContract 2028
Tkl/901.15
KP/900.16
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
83% 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 Caleb Okoli.

Ask AI about Caleb Okoli

Frequently Asked Questions

Who are the best alternatives to Caleb Okoli?
The top alternatives to Caleb Okoli based on AI DNA playing style analysis include: Jake O'Brien, Nathan Collins, Kevin Danso, Murillo, Ibrahima Konaté. 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 Caleb Okoli in 2026?
Players with a similar profile to Caleb Okoli in 2026 include Jake O'Brien (€16.0M), Nathan Collins (€35.0M), Kevin Danso (€22.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Caleb Okoli play and who plays similarly?
Caleb Okoli plays as a Defender. Players with a comparable positional profile include Jake O'Brien (Republic of Ireland, €16.0M); Nathan Collins (Republic of Ireland, €35.0M); Kevin Danso (Austria, €22.0M); Murillo (Brazil, €12.0M).
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.