RisingTransfers
AI DNA Similarity

Best Alternatives to Jack Stephens

Players most similar to Jack Stephens (Defender, €1.2M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Jack Stephens

  1. 1.James Hill84% DNA match·AFC Bournemouth€15.0M
  2. 2.Dan Ballard83% DNA match·Sunderland€20.0M
  3. 3.Jorge Cuenca83% DNA match·Fulham€8.0M

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

RT

Intelligence Verdict

Ball RecoveriesTop 15%
???Bottom 21%

A Ball-Playing CB....

See Full Verdict + Share Card →

Playing Style Analysis

Ball-Playing CBBall-PlayingAerial

A Ball-Playing CB. Statistically, he stands out as commanding in the air (4.5 clearances/90), meticulous in distribution (92% pass accuracy), wins the physical battle (56% duel success), heavily involved in possession (63 passes/90), central to possession (76 touches/90), uses long balls frequently (5.2/90) and active off the ball (2.4 press score/90), contributing to defensive transitions. The three most similar players to Jack Stephens by playing style are:

  • James Hill(84% 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.
  • Dan Ballard(83% match)A Ball-Playing CB. Statistically, he stands out as commanding in the air (7.8 clearances/90), wins the physical battle (59% duel success), strong in aerial duels (4.4 aerials won/90) and uses long balls frequently (6.6/90).
  • Jorge Cuenca(83% match)A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (7.1 clearances/90), reads the game exceptionally (1.6 interceptions/90), meticulous in distribution (88% pass accuracy), heavily involved in possession (60 passes/90), central to possession (74 touches/90), uses long balls frequently (7.1/90) and active off the ball (2.3 press score/90), contributing to defensive transitions.

Transfer Intelligence

James Hill delivers 84% of the same playing style, at a 1150% premium over Jack Stephens, with 1.77 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 →

J
Comparison Base
Jack Stephens
DefenderEngland€1.2M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
J
James Hill
AFC Bournemouth · Premier League
England24yContract 2026
Tkl/901.77
KP/900.61
Physical StopperAerial
Last 5: → Stable
vs Stephens: €14M more expensive · 8y younger
84% match
€15.0M
#2
D
Dan Ballard
Sunderland · Premier League
Northern Ireland26yContract 2028
Tkl/901.38
KP/900.67
Ball-Playing CBAerial
Last 5: → Stable
vs Stephens: €19M more expensive · 6y younger
83% match
€20.0M
#3
J
Jorge Cuenca
Fulham · Premier League
Spain26yContract 2028
Tkl/901.64
KP/900.29
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
vs Stephens: €7M more expensive · 6y younger
83% match
€8.0M
#4
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
#5
C
Chris Richards
Crystal Palace · Premier League
United States26yContract 2027
Tkl/901.76
KP/900.30
Ball-Playing CBAerial
Last 5: → Stable
83% match
€25.0M
#6
B
Bashir Humphreys
Burnley · Premier League
England23y
Tkl/901.64
KP/900.55
Ball-Playing CBAerial
Last 5: ↓ Dip
83% match
€12.0M
#7
J
Joe Worrall
Burnley · Premier League
England29yContract 2028
Tkl/900.73
KP/900.18
Physical StopperAerial
Last 5: → Stable
83% match
€4.0M
#8
M
Marcos Senesi
AFC Bournemouth · Premier League
Argentina29yContract 2026
Tkl/901.71
KP/900.69
Ball-Playing CBBall-Playing
Last 5: → Stable
82% match
€22.0M
#9
S
S. Larsen
HB Køge · Superliga
Denmark21yContract 2030
Tkl/902.55
KP/900.91
Physical Stopper
Last 5: ↓ Dip
82% match
N/A
#10
T
Terrence Douglas
FC Eindhoven · Eredivisie
Netherlands24yContract 2026
Tkl/902.30
KP/900.57
Physical Stopper
Last 5: → Stable
82% match
N/A
#11
J
Jake O'Brien
Everton · Premier League
Republic of Ireland24yContract 2028
Tkl/901.66
KP/900.48
Aerial
Last 5: → Stable
82% match
€16.0M
#12
E
Emmanuel Biumla
Angers SCO · Ligue 1
France21yContract 2028
Tkl/901.75
KP/900.00
Physical StopperAerial
82% match
N/A

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 Jack Stephens.

Ask AI about Jack Stephens

Frequently Asked Questions

Who are the best alternatives to Jack Stephens?
The top alternatives to Jack Stephens based on AI DNA playing style analysis include: James Hill, Dan Ballard, Jorge Cuenca, Chadi Riad, Chris Richards. 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 Jack Stephens in 2026?
Players with a similar profile to Jack Stephens in 2026 include James Hill (€15.0M), Dan Ballard (€20.0M), Jorge Cuenca (€8.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Jack Stephens play and who plays similarly?
Jack Stephens plays as a Defender. Players with a comparable positional profile include James Hill (England, €15.0M); Dan Ballard (Northern Ireland, €20.0M); Jorge Cuenca (Spain, €8.0M); Chadi Riad (Morocco, €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.