RisingTransfers
AI DNA Similarity

Best Alternatives to Dominic Hyam

Players most similar to Dominic Hyam (Defender, €1.8M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Dominic Hyam

  1. 1.Malick Thiaw82% DNA match·Newcastle United€45.0M
  2. 2.Jake O'Brien82% DNA match·Everton€16.0M
  3. 3.Kevin Danso83% DNA match·Tottenham Hotspur€22.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 5%

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 (7.7 clearances/90), wins the physical battle (59% duel success), dominant in the air (3.1 aerials won/90, 60%) and uses long balls frequently (7.8/90). The three most similar players to Dominic Hyam by playing style are:

  • Malick Thiaw(82% 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.
  • Jake O'Brien(82% 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%).
  • Kevin Danso(83% 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

Malick Thiaw delivers 82% of the same playing style, at a 2471% premium over Dominic Hyam, with 1.29 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 →

D
Comparison Base
Dominic Hyam
DefenderScotland€1.8M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
M
Malick Thiaw
Newcastle United · Premier League
Germany24yContract 2029
Tkl/901.29
KP/900.19
Ball-Playing CBAerial
Last 5: ↑ Hot
vs Hyam: €43M more expensive · 6y younger
82% match
€45.0M
#2
J
Jake O'Brien
Everton · Premier League
Republic of Ireland24yContract 2028
Tkl/901.66
KP/900.48
Aerial
Last 5: → Stable
vs Hyam: €14M more expensive · 6y younger
82% match
€16.0M
#3
K
Kevin Danso
Tottenham Hotspur · Premier League
Austria27yContract 2030
Tkl/901.84
KP/900.20
Ball-Playing CBBall-Playing
Last 5: → Stable
vs Hyam: €20M more expensive · 3y younger
83% match
€22.0M
#4
J
Jordan Beyer
Burnley · Premier League
Germany25yContract 2027
Tkl/902.10
KP/900.16
Ball-Playing CBBall-Playing
83% match
€15.0M
#5
D
Dan Ballard
Sunderland · Premier League
Northern Ireland26yContract 2028
Tkl/901.38
KP/900.67
Ball-Playing CBAerial
Last 5: → Stable
82% match
€20.0M
#6
J
Joe Worrall
Burnley · Premier League
England29yContract 2028
Tkl/900.73
KP/900.18
Physical StopperAerial
Last 5: → Stable
82% match
€4.0M
#7
H
Hjalmar Ekdal
Burnley · Premier League
Sweden27yContract 2027
Tkl/901.40
KP/900.23
Ball-Playing CBAerial
Last 5: → Stable
81% match
€6.0M
#8
B
Bashir Humphreys
Burnley · Premier League
England23y
Tkl/901.64
KP/900.55
Ball-Playing CBAerial
Last 5: ↓ Dip
82% match
€12.0M
#9
S
Sepp van den Berg
Brentford · Premier League
Netherlands24yContract 2029
Tkl/900.64
KP/900.20
Ball-Playing CBAerial
Last 5: → Stable
81% match
€28.0M
#10
M
Murillo
Nottingham Forest · Premier League
Brazil23yContract 2029
Tkl/901.48
KP/900.38
Ball-Playing CBAerial
Last 5: → Stable
81% match
€12.0M
#11
I
Isak Hien
Atalanta · Serie A
Sweden27yContract 2028
Tkl/902.44
KP/900.23
Ball-Playing CBAerial
Last 5: → Stable
81% 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
81% 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 Dominic Hyam.

Ask AI about Dominic Hyam

Frequently Asked Questions

Who are the best alternatives to Dominic Hyam?
The top alternatives to Dominic Hyam based on AI DNA playing style analysis include: Malick Thiaw, Jake O'Brien, Kevin Danso, Jordan Beyer, Dan Ballard. 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 Dominic Hyam in 2026?
Players with a similar profile to Dominic Hyam in 2026 include Malick Thiaw (€45.0M), Jake O'Brien (€16.0M), 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 Dominic Hyam play and who plays similarly?
Dominic Hyam plays as a Defender. Players with a comparable positional profile include Malick Thiaw (Germany, €45.0M); Jake O'Brien (Republic of Ireland, €16.0M); Kevin Danso (Austria, €22.0M); Jordan Beyer (Germany, €15.0M).
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.