AI DNA Similarity
Best Alternatives to Marcus Rafferty
Players most similar to Marcus Rafferty (Midfielder, €260K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Marcus Rafferty
- 1.Michael Laffey98% DNA match·Liverpool
- 2.Ivan Franjic98% DNA match·Wehen Wiesbaden
- 3.M. Rasmussen97% DNA match·HB Køge
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
DribblesTop 12%
???Bottom 0%
“A Balanced Midfielder....”
See Full Verdict + Share Card →Playing Style Analysis
Balanced MidfielderSmall Sample
A Balanced Midfielder. Note: this profile is based on 606 minutes of playing time this season. The three most similar players to Marcus Rafferty by playing style are:
- Michael Laffey(98% match) — A Midfielder. Note: this profile is based on 562 minutes of playing time this season.
- Ivan Franjic(98% match) — A Midfielder. Note: this profile is based on 540 minutes of playing time this season.
- M. Rasmussen(97% match) — A Midfielder. Note: this profile is based on 882 minutes of playing time this season.
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
M
Michael Laffey
Liverpool · Premier League
England20y
KP/900.19
G/900.00
Small Sample
98% match
N/A
#2
I
Ivan Franjic
Wehen Wiesbaden · Bundesliga
Germany28y
KP/900.00
G/900.00
Small Sample
98% match
N/A
#3
M
M. Rasmussen
HB Køge · Superliga
Denmark20y
KP/900.71
G/900.00
Small Sample
97% match
N/A
#4
H
Hjalte Toftegaard
Hillerød · Superliga
Denmark19y
KP/903.52
G/900.00
Small Sample
96% match
N/A
#5
L
Loret Sadiku
Kasımpaşa · Super Lig
34y
KP/900.39
G/900.00
Balanced MidfielderSmall Sample
95% match
N/A
#6
G
George Lawrence Hemmings
Aston Villa · Premier League
England19y
KP/900.80
G/900.00
Balanced MidfielderSmall Sample
95% match
N/A
#7
F
Frederik Brinch Møller
Kolding IF · Superliga
Denmark20y
KP/900.64
G/900.14
Balanced MidfielderSmall Sample
Last 5: → Stable95% match
N/A
#8
M
Marcel Wenig
Ulm · Bundesliga
Germany22yContract 2027
KP/900.00
G/900.17
Small Sample
94% match
N/A
#9
M
Mitchel Van Rosmalen
Blauw Geel '38 · Eredivisie
Netherlands24y
KP/900.72
G/900.00
Small Sample
94% match
N/A
#10
D
Diogo Ferreira Prioste
Benfica · Liga Portugal
Portugal22y
KP/901.18
G/900.00
Small Sample
94% match
N/A
#11
B
B. Kücükylidiz
Hillerød · Superliga
Denmark25y
KP/900.00
G/900.00
Small Sample
93% match
N/A
#12
C
Callum Olusesi
Tottenham Hotspur · Premier League
England19y
KP/900.00
G/900.36
Small Sample
93% match
N/A
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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 Marcus Rafferty.
Ask AI about Marcus Rafferty →Frequently Asked Questions
Who are the best alternatives to Marcus Rafferty?▼
The top alternatives to Marcus Rafferty based on AI DNA playing style analysis include: Michael Laffey, Ivan Franjic, M. Rasmussen, Hjalte Toftegaard, Loret Sadiku. 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 Marcus Rafferty in 2026?▼
Players with a similar profile to Marcus Rafferty in 2026 include Michael Laffey (N/A), Ivan Franjic (N/A), M. Rasmussen (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Marcus Rafferty play and who plays similarly?▼
Marcus Rafferty plays as a Midfielder. Players with a comparable positional profile include Michael Laffey (England, N/A); Ivan Franjic (Germany, N/A); M. Rasmussen (Denmark, N/A); Hjalte Toftegaard (Denmark, N/A).
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.