RisingTransfers
AI DNA Similarity

Best Alternatives to Ryan Manning

Players most similar to Ryan Manning (Defender, €2.8M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Ryan Manning

  1. 1.Antonee Robinson83% DNA match·Fulham€25.0M
  2. 2.Reinildo Mandava83% DNA match·Sunderland€5.0M
  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

Key PassesTop 0%
???Bottom 21%

A Active Full-Back....

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Playing Style Analysis

Active Full-Back

A Active Full-Back. Statistically, he stands out as an elite creator (2.2 key passes/90), a regular goalscorer (0.22 goals/90), a reliable supplier (0.16 assists/90), wins the physical battle (61% duel success), penetrates with forward passing (10.2 final-third passes/90), central to possession (79 touches/90), uses long balls frequently (6.7/90) and active off the ball (2.3 press score/90), contributing to defensive transitions. The three most similar players to Ryan Manning by playing style are:

  • Antonee Robinson(83% match)A Active Full-Back. Statistically, he stands out as naturally left-footed, a capable chance creator (1.4 key passes/90), an aggressive ball-winner (3.0 tackles/90), reads the game exceptionally (1.6 interceptions/90), wins the physical battle (59% duel success), central to possession (78 touches/90), a high-intensity presser (press score 3.3/90), constantly disrupting opposition build-up and top 10% tackler in the league.
  • Reinildo Mandava(83% match)A Defender. Statistically, he stands out as naturally left-footed, active in the tackle (1.8 tackles/90), reads the game exceptionally (1.5 interceptions/90), meticulous in distribution (86% pass accuracy), wins the physical battle (55% duel success) and active off the ball (2.4 press score/90), contributing to defensive transitions.
  • 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

Antonee Robinson delivers 83% of the same playing style, at a 793% premium over Ryan Manning, with 3.02 tackles won per 90 at age 28.

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

R
Comparison Base
Ryan Manning
DefenderRepublic of Ireland€2.8M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
A
Antonee Robinson
Fulham · Premier League
United States28yContract 2028
Tkl/903.02
KP/901.37
Active Full-Back
Last 5: → Stable
vs Manning: €22M more expensive
83% match
€25.0M
#2
R
Reinildo Mandava
Sunderland · Premier League
Mozambique32yContract 2027
Tkl/901.81
KP/900.30
Last 5: → Stable
vs Manning: 3y older
83% match
€5.0M
#3
J
Jorge Cuenca
Fulham · Premier League
Spain26yContract 2028
Tkl/901.64
KP/900.29
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
vs Manning: €5M more expensive · 3y younger
83% match
€8.0M
#4
Q
Quilindschy Hartman
Burnley · Premier League
Netherlands24yContract 2029
Tkl/902.56
KP/900.98
Active Full-Back
Last 5: ↑ Hot
83% match
€18.0M
#5
C
Calvin Verdonk
LOSC Lille · Ligue 1
Netherlands29yContract 2028
Tkl/903.05
KP/901.22
Active Full-BackBall-Playing
Last 5: ↓ Dip
83% match
€3.0M
#6
M
Michael Kayode
Brentford · Premier League
Italy21yContract 2030
Tkl/901.87
KP/900.99
Active Full-Back
Last 5: → Stable
82% match
€35.0M
#7
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
#8
R
Rico Henry
Brentford · Premier League
England28yContract 2026
Tkl/901.02
KP/900.27
Last 5: ↓ Dip
83% match
€15.0M
#9
P
Pedro Lima
Wolverhampton Wanderers · Premier League
Brazil19yContract 2029
Tkl/902.49
KP/901.07
Small Sample
Last 5: → Stable
82% match
€4.0M
#10
I
Ian Maatsen
Aston Villa · Premier League
Netherlands24yContract 2030
Tkl/902.33
KP/901.44
Active Full-Back
Last 5: ↓ Dip
82% match
€25.0M
#11
N
Neco Williams
Nottingham Forest · Premier League
Wales25yContract 2029
Tkl/902.71
KP/901.07
Active Full-Back
Last 5: → Stable
81% match
€25.0M
#12
D
David Møller Wolfe
Wolverhampton Wanderers · Premier League
Norway24yContract 2030
Tkl/900.91
KP/900.81
Active Full-BackSmall Sample
Last 5: ↑ Hot
82% match
€10.0M

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 Ryan Manning.

Ask AI about Ryan Manning

Frequently Asked Questions

Who are the best alternatives to Ryan Manning?
The top alternatives to Ryan Manning based on AI DNA playing style analysis include: Antonee Robinson, Reinildo Mandava, Jorge Cuenca, Quilindschy Hartman, Calvin Verdonk. 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 Ryan Manning in 2026?
Players with a similar profile to Ryan Manning in 2026 include Antonee Robinson (€25.0M), Reinildo Mandava (€5.0M), 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 Ryan Manning play and who plays similarly?
Ryan Manning plays as a Defender. Players with a comparable positional profile include Antonee Robinson (United States, €25.0M); Reinildo Mandava (Mozambique, €5.0M); Jorge Cuenca (Spain, €8.0M); Quilindschy Hartman (Netherlands, €18.0M).
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.