AI DNA Similarity
Best Alternatives to Jesse Joronen
Players most similar to Jesse Joronen (Goalkeeper, €1.3M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Jesse Joronen
- 1.Joey Kesting86% DNA match·Katwijk
- 2.Mark De Vries85% DNA match·Katwijk
- 3.Tim Coremans85% DNA match·FC Dordrecht
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
Goals ConcededTop 14%
???Bottom 0%
“Jesse Joronen is a Traditional Keeper....”
See Full Verdict + Share Card →Playing Style Analysis
Traditional Keeper
Jesse Joronen is a Traditional Keeper. Line-focused shot-stopper. The three most similar players to Jesse Joronen by playing style are:
- Joey Kesting(86% match) — Joey Kesting is a Traditional Keeper. Line-focused shot-stopper. (Limited sample: 270 mins)
- Mark De Vries(85% match) — Mark de Vries is a Traditional Keeper. Line-focused shot-stopper. (Limited sample: 330 mins)
- Tim Coremans(85% match) — Tim Coremans is a Traditional Keeper. Line-focused shot-stopper. (Limited sample: 270 mins)
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
J
Joey Kesting
Katwijk · Eredivisie
Netherlands25y
Tkl/900.00
Traditional KeeperSmall Sample
vs Joronen: 8y younger
86% match
N/A
#2
M
Mark De Vries
Katwijk · Eredivisie
Netherlands39y
Tkl/900.00
Traditional KeeperSmall Sample
vs Joronen: 6y older
85% match
N/A
#3
T
Tim Coremans
FC Dordrecht · Eredivisie
Netherlands35y
Tkl/900.00
Traditional KeeperSmall Sample
vs Joronen: 2y older
85% match
N/A
#4
D
David Spinelli
Napoli · Serie A
Italy18y
Tkl/900.00
Traditional KeeperSmall Sample
85% match
N/A
#5
K
Koen Bucker
FC Emmen · Eredivisie
Netherlands29y
Tkl/900.08
Reliable Keeper
84% match
N/A
#6
J
Jesús Owono
FC Andorra · La Liga
Equatorial Guinea25y
Tkl/900.33
Traditional KeeperSmall Sample
84% match
N/A
#7
O
Oskar Snorre Olsen
Lyngby Boldklub · Superliga
Denmark27y
Tkl/900.00
Traditional Keeper
83% match
N/A
#8
D
D. Dönmezer
Kayserispor · Super Lig
17y
Tkl/901.00
Traditional Keeper
83% match
N/A
#9
F
Filip Jørgensen
Chelsea · Premier League
Denmark24yContract 2031
Tkl/900.00
Traditional KeeperSmall Sample
83% match
€15.0M
#10
T
Tommy Setford
Arsenal · Premier League
England20y
Tkl/900.00
Traditional KeeperSmall Sample
84% match
N/A
#11
F
Freddie Woodman
Liverpool · Premier League
England29yContract 2026
Tkl/900.00
Traditional KeeperSmall Sample
84% match
€3.0M
#12
M
Mateus Pasinato
Cuiabá · Liga Portugal
Brazil33y
Tkl/900.00
Reliable Keeper
82% 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 Jesse Joronen.
Ask AI about Jesse Joronen →Frequently Asked Questions
Who are the best alternatives to Jesse Joronen?▼
The top alternatives to Jesse Joronen based on AI DNA playing style analysis include: Joey Kesting, Mark De Vries, Tim Coremans, David Spinelli, Koen Bucker. 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 Jesse Joronen in 2026?▼
Players with a similar profile to Jesse Joronen in 2026 include Joey Kesting (N/A), Mark De Vries (N/A), Tim Coremans (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Jesse Joronen play and who plays similarly?▼
Jesse Joronen plays as a Goalkeeper. Players with a comparable positional profile include Joey Kesting (Netherlands, N/A); Mark De Vries (Netherlands, N/A); Tim Coremans (Netherlands, N/A); David Spinelli (Italy, 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.