AI DNA Similarity
Best Alternatives to Mathew Ryan
Players most similar to Mathew Ryan (Goalkeeper, €800K) — 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 (95% success) and reliable in goal (3.7 saves/90). The three most similar players to Mathew Ryan by playing style are:
- Timo Jansink(100% match) — A Sweeper-Keeper. Statistically, he stands out as dominant in aerial duels (100% success) and reliable in goal (3.7 saves/90).
- Moritz Nicolas(100% match) — A Sweeper-Keeper. Statistically, he stands out as dominant in aerial duels (100% success) and reliable in goal (3.7 saves/90).
- Hans Christian Bernat(100% match) — A Sweeper-Keeper. Statistically, he stands out as dominant in aerial duels (84% success) and reliable in goal (3.9 saves/90).
Transfer Intelligence
Moritz Nicolas delivers 100% of the same playing style, at a 525% premium over Mathew Ryan, and is 28 years old.
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
T
Timo Jansink
Heracles Almelo · Eredivisie
Netherlands22y
Tkl/900.00
Sweeper-Keeper
100% match
N/A
#2
M
Moritz Nicolas
Borussia Mönchengladbach · Bundesliga
Germany28yContract 2029
Tkl/900.04
Sweeper-Keeper
100% match
€5.0M
#3
H
Hans Christian Bernat
Karlsruher SC · Bundesliga
Denmark25y
Tkl/900.00
Sweeper-Keeper
100% match
N/A
#4
N
Nikola Vasilj
St. Pauli · Bundesliga
Bosnia and Herzegovina30y
Tkl/900.04
Sweeper-Keeper
100% match
€4.5M
#5
N
Noah Atubolu
SC Freiburg · Bundesliga
Germany23yContract 2027
Tkl/900.04
Sweeper-Keeper
100% match
€20.0M
#6
K
Karl Hein
Werder Bremen · Bundesliga
Estonia23yContract 2026
Tkl/900.00
Sweeper-Keeper
100% match
€3.0M
#7
M
Mark Flekken
Bayer 04 Leverkusen · Bundesliga
Netherlands32yContract 2028
Tkl/900.00
Sweeper-Keeper
99% match
€8.0M
#8
A
Aris Vaporakis
B 93 · Superliga
Denmark31y
Tkl/900.00
Sweeper-Keeper
99% match
N/A
#9
A
Alfonso Herrero
Málaga · La Liga
Spain31yContract 2028
Tkl/900.14
Sweeper-Keeper
99% match
N/A
#10
M
Marcos Felipe
Eyüpspor · Super Lig
Brazil29y
Tkl/900.00
Sweeper-Keeper
99% match
N/A
#11
P
Paul Izzo
Randers FC · Superliga
Australia31yContract 2027
Tkl/900.10
Sweeper-Keeper
99% match
N/A
#12
M
Marcel Schuhen
Darmstadt 98 · Bundesliga
Germany33yContract 2025
Tkl/900.00
Sweeper-Keeper
99% 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 Mathew Ryan.
Ask AI about Mathew Ryan →Frequently Asked Questions
Who are the best alternatives to Mathew Ryan?▼
The top alternatives to Mathew Ryan based on AI DNA playing style analysis include: Timo Jansink, Moritz Nicolas, Hans Christian Bernat, Nikola Vasilj, Noah Atubolu. 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 Mathew Ryan in 2026?▼
Players with a similar profile to Mathew Ryan in 2026 include Timo Jansink (N/A), Moritz Nicolas (€5.0M), Hans Christian Bernat (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Mathew Ryan play and who plays similarly?▼
Mathew Ryan plays as a Goalkeeper. Players with a comparable positional profile include Timo Jansink (Netherlands, N/A); Moritz Nicolas (Germany, €5.0M); Hans Christian Bernat (Denmark, N/A); Nikola Vasilj (Bosnia and Herzegovina, €4.5M).
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.