AI DNA Similarity
Best Alternatives to F. Mortensen
Players most similar to F. Mortensen (Midfielder, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
A Midfielder. Statistically, he stands out as meticulous in distribution (91% pass accuracy). The three most similar players to F. Mortensen by playing style are:
- Albert Ejupi(99% match) — A Midfielder. Statistically, he stands out as meticulous in distribution (96% pass accuracy).
- Jeppe Andersen(96% match) — A Midfielder. Statistically, he stands out as a regular goalscorer (0.31 goals/90), meticulous in distribution (85% pass accuracy) and heavily involved in play (58 touches/90).
- Tijjani Reijnders(95% match) — A Midfielder. Statistically, he stands out as a capable chance creator (1.1 key passes/90), a regular goalscorer (0.30 goals/90), meticulous in distribution (89% pass accuracy) and heavily involved in play (61 touches/90).
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
Albert Ejupi
KÍ · Superliga
Sweden33y
KP/900.10
G/900.00
99% match
N/A
#2
J
Jeppe Andersen
Silkeborg IF · Superliga
Denmark33yContract 2026
KP/900.62
G/900.31
96% match
N/A
#3
T
Tijjani Reijnders
Manchester City · Premier League
Netherlands27yContract 2030
KP/901.08
G/900.30
95% match
€60.0M
#4
N
Nick Runderkamp
RKAV Volendam · Eredivisie
Netherlands29y
KP/900.00
G/900.15
94% match
N/A
#5
D
Darko Lazović
Al Wahda · Serie A
Serbia35y
KP/901.07
G/900.12
94% match
N/A
#6
A
Ablie Jallow
Servette · Ligue 1
Gambia27yContract 2028
KP/900.92
G/900.23
Balanced Midfielder
Last 5: → Stable93% match
N/A
#7
A
Alexis Mac Allister
Liverpool · Premier League
Argentina27yContract 2028
KP/901.03
G/900.08
Balanced Midfielder
Last 5: ↑ Hot93% match
€85.0M
#8
F
Filip Lesniak
Kolding IF · Superliga
Slovakia29y
KP/900.37
G/900.00
Balanced MidfielderSmall Sample
Last 5: → Stable93% match
N/A
#9
D
Djibril Sow
Sevilla · La Liga
Switzerland29yContract 2028
KP/900.97
G/900.26
Balanced Midfielder
Last 5: → Stable92% match
€7.5M
#10
O
Olivier Ntcham
Samsunspor · Super Lig
France30yContract 2026
KP/900.92
G/900.08
Balanced Midfielder
Last 5: ↑ Hot93% match
€5.0M
#11
G
Gaius Makouta
Alanyaspor · Super Lig
France28yContract 2027
KP/900.68
G/900.04
Box-to-Box
Last 5: ↑ Hot92% match
N/A
#12
P
Patrick Osterhage
SC Freiburg · Bundesliga
Germany26y
KP/900.45
G/900.08
Ball-Winner
Last 5: → Stable93% match
€12.0M
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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 F. Mortensen.
Ask AI about F. Mortensen →Frequently Asked Questions
Who are the best alternatives to F. Mortensen?▼
The top alternatives to F. Mortensen based on AI DNA playing style analysis include: Albert Ejupi, Jeppe Andersen, Tijjani Reijnders, Nick Runderkamp, Darko Lazović. 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 F. Mortensen in 2026?▼
Players with a similar profile to F. Mortensen in 2026 include Albert Ejupi (N/A), Jeppe Andersen (N/A), Tijjani Reijnders (€60.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does F. Mortensen play and who plays similarly?▼
F. Mortensen plays as a Midfielder. Players with a comparable positional profile include Albert Ejupi (Sweden, N/A); Jeppe Andersen (Denmark, N/A); Tijjani Reijnders (Netherlands, €60.0M); Nick Runderkamp (Netherlands, 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.