AI DNA Similarity
Best Alternatives to Matej Delac
Players most similar to Matej Delac (Goalkeeper, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
A Traditional Keeper. Statistically, he stands out as dominant in aerial duels (92% success) and commands the box with authority (0.5 punches/90). The three most similar players to Matej Delac by playing style are:
- Wladimiro Falcone(100% match) — A Traditional Keeper. Statistically, he stands out as dominant in aerial duels (92% success) and commands the box with authority (0.7 punches/90).
- Matz Sels(100% match) — A Traditional Keeper. Statistically, he stands out as dominant in aerial duels (83% success) and commands the box with authority (0.5 punches/90).
- Gianluigi Donnarumma(100% match) — A Traditional Keeper. Statistically, he stands out as dominant in aerial duels (90% success) and commands the box with authority (0.9 punches/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
W
Wladimiro Falcone
Lecce · Serie A
Italy30yContract 2028
Tkl/900.07
Traditional Keeper
100% match
€3.5M
#2
M
Matz Sels
Nottingham Forest · Premier League
Belgium34yContract 2027
Tkl/900.05
Traditional Keeper
100% match
€8.0M
#3
G
Gianluigi Donnarumma
Manchester City · Premier League
Italy27yContract 2030
Tkl/900.04
Traditional Keeper
100% match
€45.0M
#4
G
Gabriel Batista
Santa Clara · Liga Portugal
Brazil27yContract 2028
Tkl/900.00
Traditional Keeper
100% match
N/A
#5
A
Antonio Sivera
Deportivo Alavés · La Liga
Spain29yContract 2027
Tkl/900.07
Traditional Keeper
100% match
€6.0M
#6
A
Alisson
Liverpool · Premier League
Brazil33yContract 2027
Tkl/900.00
Traditional Keeper
100% match
€17.0M
#7
D
Dean Henderson
Crystal Palace · Premier League
England29yContract 2028
Tkl/900.00
Traditional Keeper
98% match
€28.0M
#8
J
José Sá
Wolverhampton Wanderers · Premier League
Portugal33yContract 2027
Tkl/900.00
Traditional Keeper
98% match
€5.0M
#9
S
Stefano Turati
Sassuolo · Serie A
Italy24yContract 2028
Tkl/900.00
Traditional Keeper
98% match
€3.0M
#10
I
Ivan Provedel
Lazio · Serie A
Italy32yContract 2027
Tkl/900.00
Traditional Keeper
98% match
€3.0M
#11
A
Adrian Semper
Pisa · Serie A
Croatia28yContract 2027
Tkl/900.00
Traditional Keeper
98% match
€3.5M
#12
C
Cihan Topaloğlu
Ümraniyespor · Super Lig
Turkey33yContract 2025
Tkl/900.13
Traditional Keeper
98% 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 Matej Delac.
Ask AI about Matej Delac →Frequently Asked Questions
Who are the best alternatives to Matej Delac?▼
The top alternatives to Matej Delac based on AI DNA playing style analysis include: Wladimiro Falcone, Matz Sels, Gianluigi Donnarumma, Gabriel Batista, Antonio Sivera. 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 Matej Delac in 2026?▼
Players with a similar profile to Matej Delac in 2026 include Wladimiro Falcone (€3.5M), Matz Sels (€8.0M), Gianluigi Donnarumma (€45.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Matej Delac play and who plays similarly?▼
Matej Delac plays as a Goalkeeper. Players with a comparable positional profile include Wladimiro Falcone (Italy, €3.5M); Matz Sels (Belgium, €8.0M); Gianluigi Donnarumma (Italy, €45.0M); Gabriel Batista (Brazil, 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.