RisingTransfers
AI DNA Similarity

Best Alternatives to Filip Novak

Players most similar to Filip Novak (Defender, €1.9M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Filip Novak

  1. 1.Jorge Herrando84% DNA match·Osasuna€3.5M
  2. 2.Mërgim Vojvoda83% DNA match·Como€3.0M
  3. 3.Maik Nawrocki83% DNA match·Hannover 96€5.0M

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

RT

Intelligence Verdict

AssistsTop 15%
???Bottom 16%

Novak functions as a high-IQ orchestrator disguised as a Chance Liga defender...

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Playing Style Analysis

Ball-Playing CBAerial

Novak functions as a high-IQ orchestrator disguised as a Chance Liga defender, combining the surgical distribution of a deep-lying playmaker with the grit of a veteran stopper. While his Tier C surroundings might suggest a frantic style, Novak operates in a different dimension, ranking in the elite top 5% for pass accuracy (88.3%) and key passes per 90 (0.94), proving he is the primary creative engine for his side. The counterintuitive reality of his profile lies in the air; despite an unimpressive 38.5% aerial win rate, his 2.22 successful headers per 90 suggest a player who compensates for a lack of raw dominance with elite positional anticipation. The three most similar players to Filip Novak by playing style are:

  • Jorge Herrando(84% match)A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (5.8 clearances/90) and meticulous in distribution (88% pass accuracy). Note: this profile is based on 892 minutes of playing time this season.
  • Mërgim Vojvoda(83% match)A Active Full-Back. Statistically, he stands out as an elite creator (2.1 key passes/90) and a reliable supplier (0.20 assists/90). Note: this profile is based on 896 minutes of playing time this season.
  • Maik Nawrocki(83% match)A Ball-Playing CB. Statistically, he stands out as a regular goalscorer (0.23 goals/90), a reliable supplier (0.23 assists/90), commanding in the air (6.4 clearances/90), reads the game exceptionally (2.7 interceptions/90), meticulous in distribution (90% pass accuracy), wins the physical battle (58% duel success), heavily involved in possession (67 passes/90), central to possession (86 touches/90), strong in aerial duels (3.8 aerials won/90) and active off the ball (2.8 press score/90), contributing to defensive transitions.

Transfer Intelligence

Jorge Herrando delivers 84% of the same playing style, at a 84% premium over Filip Novak, with 1.61 tackles won per 90 at age 25.

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

F
Comparison Base
Filip Novak
DefenderCzech Republic€1.9M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
J
Jorge Herrando
Osasuna · La Liga
Spain25yContract 2027
Tkl/901.61
KP/900.20
Ball-Playing CBAerial
Last 5: ↑ Hot
vs Novak: 10y younger
84% match
€3.5M
#2
M
Mërgim Vojvoda
Como · Serie A
Kosovo31yContract 2028
Tkl/900.60
KP/902.11
Active Full-BackSmall Sample
Last 5: ↓ Dip
vs Novak: 4y younger
83% match
€3.0M
#3
M
Maik Nawrocki
Hannover 96 · Bundesliga
Poland25yContract 2026
Tkl/901.41
KP/901.21
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
vs Novak: 10y younger
83% match
€5.0M
#4
E
Emanuele Valeri
Parma · Serie A
Italy27yContract 2027
Tkl/901.51
KP/901.59
Active Full-Back
82% match
€3.0M
#5
D
Dimitrije Kamenovic
Lazio · Serie A
Serbia25yContract 2026
Tkl/900.20
KP/900.20
Active Full-BackAerial
Last 5: ↑ Hot
82% match
€3.0M
#6
J
Joël Schmied
FC Köln · Bundesliga
Switzerland27yContract 2029
Tkl/900.69
KP/900.00
Ball-Playing CBSmall Sample
82% match
€3.5M
#7
M
Marc Oliver Kempf
Como · Serie A
Germany31yContract 2027
Tkl/900.81
KP/900.48
Ball-Playing CBBall-Playing
Last 5: → Stable
82% match
€3.0M
#8
D
Duje Caleta-Car
Real Sociedad · La Liga
Croatia29yContract 2026
Tkl/900.88
KP/900.20
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
82% match
€3.0M
#9
Ü
Ümit Akdağ
Alanyaspor · Super Lig
Romania22yContract 2028
Tkl/901.24
KP/900.62
Ball-Playing CBAerial
Last 5: ↑ Hot
81% match
€4.0M
#10
P
Pedro Lima
Wolverhampton Wanderers · Premier League
Brazil19yContract 2029
Tkl/902.49
KP/901.07
Small Sample
Last 5: → Stable
82% match
€4.0M
#11
A
Abdul Mumin
Rayo Vallecano · La Liga
Ghana27yContract 2026
Tkl/901.82
KP/900.05
Ball-Playing CBAerial
81% match
€4.0M
#12
A
Arseniy Batagov
Trabzonspor · Super Lig
Ukraine24yContract 2028
Tkl/901.82
KP/900.62
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
81% match
€11.0M

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 Filip Novak.

Ask AI about Filip Novak

Frequently Asked Questions

Who are the best alternatives to Filip Novak?
The top alternatives to Filip Novak based on AI DNA playing style analysis include: Jorge Herrando, Mërgim Vojvoda, Maik Nawrocki, Emanuele Valeri, Dimitrije Kamenovic. 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 Filip Novak in 2026?
Players with a similar profile to Filip Novak in 2026 include Jorge Herrando (€3.5M), Mërgim Vojvoda (€3.0M), Maik Nawrocki (€5.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Filip Novak play and who plays similarly?
Filip Novak plays as a Defender. Players with a comparable positional profile include Jorge Herrando (Spain, €3.5M); Mërgim Vojvoda (Kosovo, €3.0M); Maik Nawrocki (Poland, €5.0M); Emanuele Valeri (Italy, €3.0M).
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.