AI DNA Similarity
Best Alternatives to Mattias Lamhauge
Players most similar to Mattias Lamhauge (Goalkeeper, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
A Commanding Keeper. Statistically, he stands out as dominant in aerial duels (75% success), exceptionally busy shot-stopper (4.3 saves/90) and commands the box with authority (0.7 punches/90). The three most similar players to Mattias Lamhauge by playing style are:
- Jari De Busser(100% match) — A Commanding Keeper. Statistically, he stands out as dominant in aerial duels (85% success), exceptionally busy shot-stopper (4.4 saves/90) and commands the box with authority (0.5 punches/90).
- Frederik Ibsen(100% match) — A Commanding Keeper. Statistically, he stands out as dominant in aerial duels (100% success), exceptionally busy shot-stopper (4.2 saves/90) and commands the box with authority (0.6 punches/90).
- Kamil Grabara(99% match) — A Commanding Keeper. Statistically, he stands out as dominant in aerial duels (93% success), reliable in goal (3.6 saves/90) and commands the box with authority (0.7 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
J
Jari De Busser
Go Ahead Eagles · Eredivisie
Belgium26yContract 2027
Tkl/900.00
Commanding Keeper
100% match
N/A
#2
F
Frederik Ibsen
B 93 · Superliga
Denmark28y
Tkl/900.14
Commanding Keeper
100% match
N/A
#3
K
Kamil Grabara
VfL Wolfsburg · Bundesliga
Poland27yContract 2028
Tkl/900.04
Commanding Keeper
99% match
€12.0M
#4
I
Igor Vekic
Vejle Boldklub · Superliga
Slovenia27y
Tkl/900.00
Commanding Keeper
99% match
N/A
#5
C
Charles
Vitória Guimarães · Liga Portugal
Brazil32yContract 2027
Tkl/900.00
Commanding Keeper
99% match
N/A
#6
D
Dominik Reimann
Magdeburg · Bundesliga
Germany28y
Tkl/900.00
Commanding Keeper
99% match
N/A
#7
T
Trevor Doornbusch
VVV-Venlo · Eredivisie
Curaçao26yContract 2027
Tkl/900.00
Commanding Keeper
99% match
N/A
#8
D
Djordje Petrovic
AFC Bournemouth · Premier League
Serbia26yContract 2030
Tkl/900.00
Commanding Keeper
99% match
€28.0M
#9
S
Sam Johnstone
Wolverhampton Wanderers · Premier League
England33yContract 2028
Tkl/900.17
Commanding Keeper
98% match
€5.0M
#10
S
Sergio Herrera
Osasuna · La Liga
Spain32yContract 2026
Tkl/900.00
Commanding Keeper
98% match
€3.0M
#11
N
Nick Olij
PSV · Eredivisie
Netherlands30yContract 2029
Tkl/900.00
Commanding Keeper
98% match
€3.0M
#12
A
Arijanet Murić
Sassuolo · Serie A
Kosovo27yContract 2026
Tkl/900.00
Commanding Keeper
98% match
€7.5M
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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 Mattias Lamhauge.
Ask AI about Mattias Lamhauge →Frequently Asked Questions
Who are the best alternatives to Mattias Lamhauge?▼
The top alternatives to Mattias Lamhauge based on AI DNA playing style analysis include: Jari De Busser, Frederik Ibsen, Kamil Grabara, Igor Vekic, Charles. 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 Mattias Lamhauge in 2026?▼
Players with a similar profile to Mattias Lamhauge in 2026 include Jari De Busser (N/A), Frederik Ibsen (N/A), Kamil Grabara (€12.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Mattias Lamhauge play and who plays similarly?▼
Mattias Lamhauge plays as a Goalkeeper. Players with a comparable positional profile include Jari De Busser (Belgium, N/A); Frederik Ibsen (Denmark, N/A); Kamil Grabara (Poland, €12.0M); Igor Vekic (Slovenia, 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.