RisingTransfers
AI DNA Similarity

Best Alternatives to R. Woods

Players most similar to R. Woods (Midfielder, €7.3M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to R. Woods

  1. 1.Tyler Morton82% DNA match·Olympique Lyonnais€18.0M
  2. 2.Ramiz Zerrouki81% DNA match·FC Twente€7.2M
  3. 3.Alex Scott80% DNA match·AFC Bournemouth€40.0M

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

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 0%

Woods operates as one of League Two's most complete distributors—a midfielder who makes the simple...

See Full Verdict + Share Card →

Playing Style Analysis

Box-to-BoxCreative

Woods operates as one of League Two's most complete distributors—a midfielder who makes the simple look inevitable and the complex look routine. His 71.4% pass accuracy and 40.1 passes per 90 both land in the top 5% of his position, meaning he doesn't just move the ball frequently; he moves it correctly, under pressure, at volume. The counterintuitive detail is his aerial numbers: 1.95 aerials won per 90 puts him in the top 5% despite only a 43.3% win rate—he's contesting far more duels than peers, suggesting a physical willingness that raw percentages obscure. The three most similar players to R. Woods by playing style are:

  • Tyler Morton(82% match)A Metronome. Statistically, he stands out as a capable chance creator (1.4 key passes/90), active in the tackle (1.9 tackles/90), meticulous in distribution (90% pass accuracy), wins the physical battle (63% duel success), central to possession (70 touches/90), switches play with precision (5.9 long balls/90, 70% accuracy) and active off the ball (2.2 press score/90), contributing to defensive transitions.
  • Ramiz Zerrouki(81% match)A Metronome. Statistically, he stands out as an elite creator (1.6 key passes/90), active in the tackle (2.3 tackles/90), penetrates with forward passing (11.6 final-third passes/90), central to possession (73 touches/90), switches play with precision (7.7 long balls/90, 63% accuracy) and active off the ball (2.8 press score/90), contributing to defensive transitions.
  • Alex Scott(80% match)A Box-to-Box. Statistically, he stands out as active in the tackle (1.9 tackles/90), wins the physical battle (55% duel success), heavily involved in play (63 touches/90) and a high-intensity presser (press score 3.1/90), constantly disrupting opposition build-up.

Transfer Intelligence

Tyler Morton delivers 82% of the same playing style, at a 148% premium over R. Woods, with 1.45 key passes per 90 at age 23.

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

R
Comparison Base
R. Woods
MidfielderEngland€7.3M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
T
Tyler Morton
Olympique Lyonnais · Ligue 1
England23yContract 2030
KP/901.45
G/900.00
Metronome
Last 5: ↓ Dip
vs Woods: €11M more expensive · 9y younger
82% match
€18.0M
#2
R
Ramiz Zerrouki
FC Twente · Eredivisie
Algeria27y
KP/901.56
G/900.11
MetronomeCreative
Last 5: ↑ Hot
vs Woods: 5y younger
81% match
€7.2M
#3
A
Alex Scott
AFC Bournemouth · Premier League
England22yContract 2028
KP/900.88
G/900.10
Box-to-Box
Last 5: ↑ Hot
vs Woods: €33M more expensive · 10y younger
80% match
€40.0M
#4
A
Amir Richardson
FC København · Serie A
France24yContract 2026
KP/900.65
G/900.09
Box-to-BoxDefensive
Last 5: ↓ Dip
80% match
€9.0M
#5
C
Curtis Jones
Liverpool · Premier League
England25yContract 2027
KP/901.03
G/900.00
Metronome
Last 5: ↓ Dip
81% match
€40.0M
#6
R
Ryan Yates 
Nottingham Forest · Premier League
England28yContract 2028
KP/900.65
G/900.26
Ball-WinnerSmall Sample
Last 5: ↓ Dip
81% match
€10.0M
#7
E
Elliot Anderson
Nottingham Forest · Premier League
Scotland23yContract 2029
KP/901.50
G/900.11
MetronomeCreative
Last 5: ↓ Dip
80% match
€60.0M
#8
J
Josh Cullen
Burnley · Premier League
Republic of Ireland30yContract 2027
KP/900.77
G/900.12
Balanced Midfielder
80% match
€6.0M
#9
W
Will Hughes
Crystal Palace · Premier League
England31yContract 2027
KP/901.20
G/900.00
Box-to-Box
Last 5: ↓ Dip
81% match
€6.0M
#10
J
James Garner
Everton · Premier League
England25yContract 2026
KP/901.48
G/900.06
Ball-WinnerDefensive
Last 5: → Stable
79% match
€35.0M
#11
A
Antoni Milambo
Brentford · Premier League
Netherlands21yContract 2030
KP/901.22
G/900.14
Creator
79% match
€20.0M
#12
S
Sean Longstaff
Leeds United · Premier League
England28yContract 2029
KP/902.28
G/900.18
Ball-WinnerCreative
Last 5: ↑ Hot
80% match
€18.0M

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 R. Woods.

Ask AI about R. Woods

Frequently Asked Questions

Who are the best alternatives to R. Woods?
The top alternatives to R. Woods based on AI DNA playing style analysis include: Tyler Morton, Ramiz Zerrouki, Alex Scott, Amir Richardson, Curtis Jones. 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 R. Woods in 2026?
Players with a similar profile to R. Woods in 2026 include Tyler Morton (€18.0M), Ramiz Zerrouki (€7.2M), Alex Scott (€40.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does R. Woods play and who plays similarly?
R. Woods plays as a Midfielder. Players with a comparable positional profile include Tyler Morton (England, €18.0M); Ramiz Zerrouki (Algeria, €7.2M); Alex Scott (England, €40.0M); Amir Richardson (France, €9.0M).
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.