AI DNA Similarity
Best Alternatives to Jonas Kersken
Players most similar to Jonas Kersken (Goalkeeper, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
A Sweeper-Keeper. Statistically, he stands out as dominant in aerial duels (81% success) and commands the box with authority (0.8 punches/90). The three most similar players to Jonas Kersken by playing style are:
- Caoimhín Kelleher(100% match) — A Sweeper-Keeper. Statistically, he stands out as dominant in aerial duels (71% success) and commands the box with authority (0.8 punches/90).
- Bernd Leno(100% match) — A Sweeper-Keeper. Statistically, he stands out as dominant in aerial duels (96% success) and commands the box with authority (0.8 punches/90).
- Lukas Hornicek(100% match) — A Sweeper-Keeper. Statistically, he stands out as dominant in aerial duels (86% success) and commands the box with authority (0.5 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
C
Caoimhín Kelleher
Brentford · Premier League
Republic of Ireland27yContract 2030
Tkl/900.04
Sweeper-Keeper
100% match
€22.0M
#2
B
Bernd Leno
Fulham · Premier League
Germany34yContract 2027
Tkl/900.13
Sweeper-Keeper
100% match
€8.0M
#3
L
Lukas Hornicek
Sporting Braga · Liga Portugal
Czech Republic23yContract 2028
Tkl/900.00
Sweeper-Keeper
100% match
€10.0M
#4
M
Maduka Okoye
Udinese · Serie A
Nigeria26yContract 2028
Tkl/900.00
Sweeper-Keeper
100% match
€8.0M
#5
F
Freddie Woodman
Liverpool · Premier League
England29yContract 2026
Tkl/900.03
Sweeper-Keeper
100% match
€3.0M
#6
D
Dennis Seimen
Paderborn · Bundesliga
Germany20yContract 2026
Tkl/900.00
Sweeper-Keeper
100% match
N/A
#7
T
Timon Wellenreuther
Feyenoord · Eredivisie
Germany30yContract 2027
Tkl/900.00
Sweeper-Keeper
100% match
€6.0M
#8
D
Diogo Costa
Porto · Liga Portugal
Portugal26yContract 2027
Tkl/900.00
Sweeper-Keeper
99% match
€40.0M
#9
U
Uğurcan Çakır
Galatasaray · Super Lig
Turkey29yContract 2030
Tkl/900.00
Sweeper-Keeper
99% match
€15.0M
#10
Á
Álex Remiro
Real Sociedad · La Liga
Spain31yContract 2027
Tkl/900.04
Sweeper-Keeper
98% match
€14.0M
#11
F
Finn Dahmen
FC Augsburg · Bundesliga
Germany28yContract 2027
Tkl/900.12
Sweeper-Keeper
98% match
€12.0M
#12
G
Guglielmo Vicario
Tottenham Hotspur · Premier League
Italy29yContract 2028
Tkl/900.03
Sweeper-Keeper
98% match
€30.0M
⬡
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 Jonas Kersken.
Ask AI about Jonas Kersken →Frequently Asked Questions
Who are the best alternatives to Jonas Kersken?▼
The top alternatives to Jonas Kersken based on AI DNA playing style analysis include: Caoimhín Kelleher, Bernd Leno, Lukas Hornicek, Maduka Okoye, Freddie Woodman. 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 Jonas Kersken in 2026?▼
Players with a similar profile to Jonas Kersken in 2026 include Caoimhín Kelleher (€22.0M), Bernd Leno (€8.0M), Lukas Hornicek (€10.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Jonas Kersken play and who plays similarly?▼
Jonas Kersken plays as a Goalkeeper. Players with a comparable positional profile include Caoimhín Kelleher (Republic of Ireland, €22.0M); Bernd Leno (Germany, €8.0M); Lukas Hornicek (Czech Republic, €10.0M); Maduka Okoye (Nigeria, €8.0M).
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.