AI DNA Similarity
Best Alternatives to James Tyrrell Reid
Players most similar to James Tyrrell Reid (Attacker, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
A Complete Forward in League One. Statistically, he stands out as a proven goalscorer (0. The three most similar players to James Tyrrell Reid by playing style are:
- Anna Johanna Rytting Kaneryd(91% match) — A Complete Forward in Premier League. Statistically, he stands out as a capable chance creator (1.
- Matheus Cunha(90% match) — A Complete Forward in Premier League. Statistically, he stands out as a capable chance creator (1.
- Jarrod Bowen (90% match) — A Complete Forward in Premier League. Statistically, he stands out as naturally left-footed, a capable chance creator (1.
Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →
Similar Players — Ranked by DNA Similarity
#1
A
Anna Johanna Rytting Kaneryd
Chelsea W · Premier League
Sweden29y
G/900.20
A/900.20
Complete Forward
Last 5: ↑ Hot91% match
N/A
#2
M
Matheus Cunha
Manchester United · Premier League
Brazil26yContract 2030
G/900.30
A/900.09
Complete Forward
Last 5: ↓ Dip90% match
€70.0M
#3
J
Jarrod Bowen
West Ham United · Premier League
England29yContract 2030
G/900.26
A/900.19
Complete Forward
Last 5: ↓ Dip90% match
€35.0M
#4
O
Ollie Watkins
Aston Villa · Premier League
England30yContract 2028
G/900.39
A/900.04
Complete Forward
Last 5: ↑ Hot90% match
€30.0M
#5
O
Oladapo Afolayan
Blackburn Rovers · Bundesliga
England28yContract 2026
G/900.16
A/900.05
Dynamic ForwardDribbler
Last 5: ↓ Dip90% match
€2.5M
#6
O
Oscar Buch
Fredericia · Superliga
Denmark29y
G/900.42
A/900.07
Complete ForwardProlific
Last 5: ↓ Dip90% match
N/A
#7
C
Callum Wilson
West Ham United · Premier League
England34yContract 2026
G/900.43
A/900.09
Complete ForwardProlific
Last 5: ↓ Dip89% match
€5.0M
#8
C
Chris Wood
Nottingham Forest · Premier League
New Zealand34yContract 2027
G/900.33
A/900.00
Complete ForwardSmall Sample
89% match
€8.0M
#9
L
Leandro Trossard
Arsenal · Premier League
Belgium31yContract 2026
G/900.27
A/900.27
Complete Forward
Last 5: ↓ Dip89% match
€20.0M
#10
D
Dominic Solanke
Tottenham Hotspur · Premier League
England28yContract 2030
G/900.35
A/900.00
Complete ForwardSmall Sample
Last 5: ↑ Hot89% match
€35.0M
#11
J
Jessic Ngankam
Eintracht Frankfurt · Bundesliga
Germany25yContract 2028
G/900.25
A/900.12
Complete Forward
88% match
€1.0M
#12
G
Giovanni Korte
Katwijk · Eredivisie
Netherlands32y
G/900.26
A/900.11
Complete Forward
88% 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 James Tyrrell Reid.
Ask AI about James Tyrrell Reid →Frequently Asked Questions
Who are the best alternatives to James Tyrrell Reid?▼
The top alternatives to James Tyrrell Reid based on AI DNA playing style analysis include: Anna Johanna Rytting Kaneryd, Matheus Cunha, Jarrod Bowen , Ollie Watkins, Oladapo Afolayan. 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 James Tyrrell Reid in 2026?▼
Players with a similar profile to James Tyrrell Reid in 2026 include Anna Johanna Rytting Kaneryd (N/A), Matheus Cunha (€70.0M), Jarrod Bowen (€35.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does James Tyrrell Reid play and who plays similarly?▼
James Tyrrell Reid plays as a Attacker. Players with a comparable positional profile include Anna Johanna Rytting Kaneryd (Sweden, N/A); Matheus Cunha (Brazil, €70.0M); Jarrod Bowen (England, €35.0M); Ollie Watkins (England, €30.0M).
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.