AI DNA Similarity
Best Alternatives to Ivan Franjic
Players most similar to Ivan Franjic (Midfielder, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Ivan Franjic
- 1.Michael Laffey98% DNA match·Liverpool
- 2.M. Rasmussen98% DNA match·HB Køge
- 3.Loret Sadiku96% DNA match·Kasımpaşa
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
???Bottom 0%
“A Midfielder....”
See Full Verdict + Share Card →Playing Style Analysis
Small Sample
A Midfielder. Note: this profile is based on 540 minutes of playing time this season. The three most similar players to Ivan Franjic by playing style are:
- Michael Laffey(98% match) — A Midfielder. Note: this profile is based on 562 minutes of playing time this season.
- M. Rasmussen(98% match) — A Midfielder. Note: this profile is based on 882 minutes of playing time this season.
- Loret Sadiku(96% match) — A Balanced Midfielder. Note: this profile is based on 460 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
vs Franjic: 8y younger
98% match
N/A
#2
M
M. Rasmussen
HB Køge · Superliga
Denmark20y
KP/900.71
G/900.00
Small Sample
vs Franjic: 8y younger
98% match
N/A
#3
L
Loret Sadiku
Kasımpaşa · Super Lig
34y
KP/900.39
G/900.00
Balanced MidfielderSmall Sample
vs Franjic: 6y older
96% match
N/A
#4
F
Frederik Brinch Møller
Kolding IF · Superliga
Denmark20y
KP/900.64
G/900.14
Balanced MidfielderSmall Sample
Last 5: → Stable96% match
N/A
#5
G
George Lawrence Hemmings
Aston Villa · Premier League
England19y
KP/900.80
G/900.00
Balanced MidfielderSmall Sample
96% match
N/A
#6
H
Hjalte Toftegaard
Hillerød · Superliga
Denmark19y
KP/903.52
G/900.00
Small Sample
95% match
N/A
#7
M
Marcel Wenig
Ulm · Bundesliga
Germany22yContract 2027
KP/900.00
G/900.17
Small Sample
95% match
N/A
#8
D
Diogo Ferreira Prioste
Benfica · Liga Portugal
Portugal22y
KP/901.18
G/900.00
Small Sample
95% match
N/A
#9
M
Mitchel Van Rosmalen
Blauw Geel '38 · Eredivisie
Netherlands24y
KP/900.72
G/900.00
Small Sample
95% match
N/A
#10
C
Callum Olusesi
Tottenham Hotspur · Premier League
England19y
KP/900.00
G/900.36
Small Sample
94% match
N/A
#11
T
Tobias Blidegn
B 93 · Superliga
Denmark21y
KP/900.97
G/900.09
Balanced Midfielder
Last 5: ↑ Hot94% match
N/A
#12
B
B. Kücükylidiz
Hillerød · Superliga
Denmark25y
KP/900.00
G/900.00
Small Sample
94% 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 Ivan Franjic.
Ask AI about Ivan Franjic →Frequently Asked Questions
Who are the best alternatives to Ivan Franjic?▼
The top alternatives to Ivan Franjic based on AI DNA playing style analysis include: Michael Laffey, M. Rasmussen, Loret Sadiku, Frederik Brinch Møller, George Lawrence Hemmings. 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 Ivan Franjic in 2026?▼
Players with a similar profile to Ivan Franjic in 2026 include Michael Laffey (N/A), M. Rasmussen (N/A), Loret Sadiku (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Ivan Franjic play and who plays similarly?▼
Ivan Franjic plays as a Midfielder. Players with a comparable positional profile include Michael Laffey (England, N/A); M. Rasmussen (Denmark, N/A); Loret Sadiku (, N/A); Frederik Brinch Møller (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.