AI DNA Similarity
Best Alternatives to Dominik Reimann
Players most similar to Dominik Reimann (Goalkeeper, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
A Commanding Keeper in Bundesliga. Statistically, he stands out as dominant in aerial duels (82% success), reliable in goal (3.2 saves/90) and commands the box with authority (0.5 punches/90). The three most similar players to Dominik Reimann by playing style are:
- Mio Backhaus(100% match) — A Commanding Keeper in Bundesliga. Statistically, he stands out as dominant in aerial duels (91% success), reliable in goal (3.0 saves/90) and commands the box with authority (0.8 punches/90).
- Kamil Grabara(100% match) — A Commanding Keeper in Bundesliga. 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).
- Kauã Santos(100% match) — A Commanding Keeper in Bundesliga. Statistically, he stands out as dominant in aerial duels (93% success), reliable in goal (3.1 saves/90) 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
M
Mio Backhaus
Werder Bremen · Bundesliga
Germany21y
Tkl/900.00
Commanding Keeper
100% match
€10.0M
#2
K
Kamil Grabara
VfL Wolfsburg · Bundesliga
Poland27yContract 2028
Tkl/900.04
Commanding Keeper
100% match
€12.0M
#3
K
Kauã Santos
Eintracht Frankfurt · Bundesliga
Brazil22yContract 2030
Tkl/900.08
Commanding Keeper
100% match
€7.0M
#4
P
Pelle Boevink
SpVgg Greuther Fürth · Bundesliga
Netherlands28y
Tkl/900.00
Commanding Keeper
99% match
N/A
#5
T
Timo Schlieck
SpVgg Greuther Fürth · Bundesliga
Germany20y
Tkl/900.00
Commanding KeeperSmall Sample
98% match
N/A
#6
D
Diant Ramaj
Heidenheim · Bundesliga
Germany24yContract 2026
Tkl/900.04
Commanding Keeper
97% match
€7.0M
#7
F
Finn Dahmen
FC Augsburg · Bundesliga
Germany27yContract 2027
Tkl/900.12
Sweeper-Keeper
97% match
€12.0M
#8
F
Felix Gebhardt
Jahn Regensburg · Bundesliga
Germany24y
Tkl/900.05
Sweeper-Keeper
97% match
N/A
#9
S
Silas Prüfrock
SpVgg Greuther Fürth · Bundesliga
Germany21y
Tkl/900.00
Commanding KeeperSmall Sample
97% match
N/A
#10
K
Karl Hein
Werder Bremen · Bundesliga
Estonia23yContract 2026
Tkl/900.00
Sweeper-Keeper
97% match
€3.0M
#11
J
Julian Krahl
Kaiserslautern · Bundesliga
Germany26y
Tkl/900.00
Traditional Keeper
97% match
N/A
#12
H
Hans Christian Bernat
Karlsruher SC · Bundesliga
Denmark25y
Tkl/900.00
Sweeper-Keeper
97% match
N/A
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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 Dominik Reimann.
Ask AI about Dominik Reimann →Frequently Asked Questions
Who are the best alternatives to Dominik Reimann?▼
The top alternatives to Dominik Reimann based on AI DNA playing style analysis include: Mio Backhaus, Kamil Grabara, Kauã Santos, Pelle Boevink, Timo Schlieck. 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 Dominik Reimann in 2026?▼
Players with a similar profile to Dominik Reimann in 2026 include Mio Backhaus (€10.0M), Kamil Grabara (€12.0M), Kauã Santos (€7.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Dominik Reimann play and who plays similarly?▼
Dominik Reimann plays as a Goalkeeper. Players with a comparable positional profile include Mio Backhaus (Germany, €10.0M); Kamil Grabara (Poland, €12.0M); Kauã Santos (Brazil, €7.0M); Pelle Boevink (Netherlands, 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.