AI DNA Similarity
Best Alternatives to Max Thompson
Players most similar to Max Thompson (Goalkeeper, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Max Thompson
- 1.A. Kappenberger100% DNA match·Hillerød
- 2.Nahuel Noll100% DNA match·Hannover 96
- 3.Mory Diaw100% DNA match·Le Havre
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
Aerials WonTop 16%
???Bottom 0%
“A Sweeper-Keeper....”
See Full Verdict + Share Card →Playing Style Analysis
Sweeper-Keeper
A Sweeper-Keeper. Statistically, he stands out as dominant in aerial duels (87% success). The three most similar players to Max Thompson by playing style are:
- A. Kappenberger(100% match) — A Sweeper-Keeper. Statistically, he stands out as dominant in aerial duels (93% success).
- Nahuel Noll(100% match) — A Sweeper-Keeper. Statistically, he stands out as dominant in aerial duels (96% success).
- Mory Diaw(100% match) — A Traditional Keeper. Statistically, he stands out as dominant in aerial duels (100% success) and exceptionally busy shot-stopper (4.0 saves/90). However, he concedes frequently (2.29/90).
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
A
A. Kappenberger
Hillerød · Superliga
Denmark29y
Tkl/900.07
Sweeper-Keeper
vs Thompson: 8y older
100% match
N/A
#2
N
Nahuel Noll
Hannover 96 · Bundesliga
Germany23yContract 2026
Tkl/900.00
Sweeper-Keeper
vs Thompson: 2y older
100% match
N/A
#3
M
Mory Diaw
Le Havre · Ligue 1
Senegal32yContract 2027
Tkl/900.00
Traditional KeeperSmall Sample
vs Thompson: 11y older
100% match
N/A
#4
B
Benjamin Uphoff
Hansa Rostock · Bundesliga
Germany32yContract 2026
Tkl/900.00
Sweeper-Keeper
99% match
N/A
#5
A
Alfonso Herrero
Málaga · La Liga
Spain32yContract 2028
Tkl/900.14
Sweeper-Keeper
99% match
N/A
#6
V
Volkan Babacan
İstanbul Başakşehir · Super Lig
Turkey37y
Tkl/900.00
Sweeper-Keeper
99% match
N/A
#7
D
Deniz Dilmen
İstanbul Başakşehir · Super Lig
Turkey20y
Tkl/900.03
Sweeper-Keeper
99% match
N/A
#8
M
Marcos Felipe
Eyüpspor · Super Lig
Brazil30y
Tkl/900.00
Sweeper-Keeper
98% match
N/A
#9
P
Paul Izzo
Randers FC · Superliga
Australia31yContract 2027
Tkl/900.10
Sweeper-Keeper
98% match
N/A
#10
L
Lazar Carević
Famalicão · Liga Portugal
Montenegro27y
Tkl/900.03
Sweeper-Keeper
98% match
N/A
#11
J
Jonas Kersken
DSC Arminia Bielefeld · Bundesliga
Germany25y
Tkl/900.09
Traditional Keeper
97% match
N/A
#12
D
Dennis Seimen
Paderborn · Bundesliga
Germany20yContract 2026
Tkl/900.00
Sweeper-Keeper
97% 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 Max Thompson.
Ask AI about Max Thompson →Frequently Asked Questions
Who are the best alternatives to Max Thompson?▼
The top alternatives to Max Thompson based on AI DNA playing style analysis include: A. Kappenberger, Nahuel Noll, Mory Diaw, Benjamin Uphoff, Alfonso Herrero. 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 Max Thompson in 2026?▼
Players with a similar profile to Max Thompson in 2026 include A. Kappenberger (N/A), Nahuel Noll (N/A), Mory Diaw (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Max Thompson play and who plays similarly?▼
Max Thompson plays as a Goalkeeper. Players with a comparable positional profile include A. Kappenberger (Denmark, N/A); Nahuel Noll (Germany, N/A); Mory Diaw (Senegal, N/A); Benjamin Uphoff (Germany, 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.