RisingTransfers
AI DNA Similarity

Best Alternatives to Di'Shon Bernard

Players most similar to Di'Shon Bernard (Defender, €1.5M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Di'Shon Bernard

  1. 1.Bernardo86% DNA match·TSG Hoffenheim€5.0M
  2. 2.James Hill85% DNA match·AFC Bournemouth€15.0M
  3. 3.Malick Thiaw84% DNA match·Newcastle United€45.0M

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

RT

Intelligence Verdict

GoalsTop 23%
???Bottom 11%

A Ball-Playing CB....

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Playing Style Analysis

Ball-Playing CBAerial

A Ball-Playing CB. Statistically, he stands out as commanding in the air (4.2 clearances/90), meticulous in distribution (86% pass accuracy), wins the physical battle (62% duel success) and dominant in the air (3.2 aerials won/90, 63%). The three most similar players to Di'Shon Bernard by playing style are:

  • Bernardo(86% match)A Active Full-Back. Statistically, he stands out as naturally left-footed, active in the tackle (2.4 tackles/90), commanding in the air (6.3 clearances/90), reads the game exceptionally (1.5 interceptions/90), wins the physical battle (61% duel success), penetrates with forward passing (10.1 final-third passes/90), central to possession (83 touches/90), dominant in the air (3.2 aerials won/90, 64%), uses long balls frequently (7.0/90), active off the ball (2.9 press score/90), contributing to defensive transitions and top 10% tackler in the league. Note: this profile is based on 526 minutes of playing time this season.
  • James Hill(85% match)A Physical Stopper. Statistically, he stands out as commanding in the air (7.3 clearances/90), reads the game exceptionally (1.7 interceptions/90), wins the physical battle (66% duel success), dominant in the air (5.0 aerials won/90, 66%), uses long balls frequently (7.5/90) and active off the ball (2.1 press score/90), contributing to defensive transitions.
  • Malick Thiaw(84% match)Thiaw has quietly become one of the Premier League's most complete defensive profiles — a towering centre-back who doesn't just win his battles, he wins them cleanly. His aerial win rate of 65.1% and duel success of 64.2% both sit in the league's top 20%, but the counterintuitive story is his attacking output: 0.16 goals per 90 and 0.98 shots per 90 place him in the top 10% among defenders, suggesting a genuine threat from set-pieces that opponents routinely underestimate. His pass accuracy of 90.6% reflects a ball-player comfortable in possession-heavy systems, and his above-average delivery into the final third adds genuine build-up value.

Transfer Intelligence

Bernardo delivers 86% of the same playing style, at a 233% premium over Di'Shon Bernard, with 1.97 tackles won per 90 at age 30.

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

D
Comparison Base
Di'Shon Bernard
DefenderJamaica€1.5M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
B
Bernardo
TSG Hoffenheim · Bundesliga
Brazil30y
Tkl/901.97
KP/900.13
Active Full-BackBall-Playing
Last 5: ↓ Dip
vs Bernard: 5y older
86% match
€5.0M
#2
J
James Hill
AFC Bournemouth · Premier League
England24yContract 2026
Tkl/901.77
KP/900.61
Physical StopperAerial
Last 5: → Stable
vs Bernard: €14M more expensive
85% match
€15.0M
#3
M
Malick Thiaw
Newcastle United · Premier League
Germany24yContract 2029
Tkl/901.29
KP/900.19
Ball-Playing CBAerial
Last 5: ↑ Hot
vs Bernard: €44M more expensive
84% match
€45.0M
#4
D
Dan Ballard
Sunderland · Premier League
Northern Ireland26yContract 2028
Tkl/901.38
KP/900.67
Ball-Playing CBAerial
Last 5: → Stable
84% match
€20.0M
#5
J
Joe Worrall
Burnley · Premier League
England29yContract 2028
Tkl/900.73
KP/900.18
Physical StopperAerial
Last 5: → Stable
84% match
€4.0M
#6
J
Jordan Beyer
Burnley · Premier League
Germany25yContract 2027
Tkl/902.10
KP/900.16
Ball-Playing CBBall-Playing
84% match
€15.0M
#7
K
Kevin Danso
Tottenham Hotspur · Premier League
Austria27yContract 2030
Tkl/901.84
KP/900.20
Ball-Playing CBBall-Playing
Last 5: → Stable
84% match
€22.0M
#8
P
Pascal Struijk
Leeds United · Premier League
Netherlands26yContract 2027
Tkl/901.17
KP/900.38
Ball-Playing CBBall-Playing
Last 5: → Stable
83% match
€22.0M
#9
M
Murillo
Nottingham Forest · Premier League
Brazil23yContract 2029
Tkl/901.48
KP/900.38
Ball-Playing CBAerial
Last 5: → Stable
83% match
€12.0M
#10
J
Jorge Cuenca
Fulham · Premier League
Spain26yContract 2028
Tkl/901.64
KP/900.29
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
84% match
€8.0M
#11
M
Max Alleyne
Manchester City · Premier League
England20y
Tkl/901.99
KP/900.14
Ball-Playing CBAerial
84% match
€8.0M
#12
C
Chadi Riad
Crystal Palace · Premier League
Morocco22yContract 2029
Tkl/901.62
KP/900.23
Ball-Playing CBAerial
Last 5: → Stable
83% match
€12.0M

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 Di'Shon Bernard.

Ask AI about Di'Shon Bernard

Frequently Asked Questions

Who are the best alternatives to Di'Shon Bernard?
The top alternatives to Di'Shon Bernard based on AI DNA playing style analysis include: Bernardo, James Hill, Malick Thiaw, Dan Ballard, Joe Worrall. 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 Di'Shon Bernard in 2026?
Players with a similar profile to Di'Shon Bernard in 2026 include Bernardo (€5.0M), James Hill (€15.0M), Malick Thiaw (€45.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Di'Shon Bernard play and who plays similarly?
Di'Shon Bernard plays as a Defender. Players with a comparable positional profile include Bernardo (Brazil, €5.0M); James Hill (England, €15.0M); Malick Thiaw (Germany, €45.0M); Dan Ballard (Northern Ireland, €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.