AI DNA Similarity
Best Alternatives to Jeffrey de Lange
Players most similar to Jeffrey de Lange (Goalkeeper, €2.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Jeffrey de Lange
- 1.Alexéi Rojas100% DNA match·Arsenal
- 2.Deniz Ertaş100% DNA match·Konyaspor
- 3.Lucas França98% DNA match·Nacional
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
Traditional KeeperSmall Sample
A Traditional Keeper. However, he concedes frequently (2.20/90). Note: this profile is based on 450 minutes of playing time this season. The three most similar players to Jeffrey de Lange by playing style are:
- Alexéi Rojas(100% match) — A Traditional Keeper. However, he concedes frequently (1.50/90). Note: this profile is based on 540 minutes of playing time this season.
- Deniz Ertaş(100% match) — A Traditional Keeper. However, he concedes frequently (1.55/90).
- Lucas França(98% match) — A Traditional Keeper. Statistically, he stands out as dominant in aerial duels (100% success) and reliable in goal (3.0 saves/90). However, he concedes frequently (1.67/90).
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
Alexéi Rojas
Arsenal · Premier League
Colombia20y
Tkl/900.00
Traditional KeeperSmall Sample
vs Lange: 8y younger
100% match
N/A
#2
D
Deniz Ertaş
Konyaspor · Super Lig
Turkey21yContract 2027
Tkl/900.00
Traditional Keeper
vs Lange: 7y younger
100% match
N/A
#3
L
Lucas França
Nacional · Liga Portugal
Brazil30y
Tkl/900.00
Traditional KeeperSmall Sample
vs Lange: 2y older
98% match
N/A
#4
S
Sam Proctor
Aston Villa · Premier League
England19y
Tkl/900.33
Traditional KeeperSmall Sample
97% match
N/A
#5
W
William Lykke
Nordsjælland · Superliga
Denmark21yContract 2028
Tkl/900.25
Traditional KeeperSmall Sample
97% match
N/A
#6
E
Erdem Canpolat
Rizespor · Super Lig
Germany25yContract 2027
Tkl/900.00
Traditional KeeperSmall Sample
97% match
N/A
#7
A
Amil Siljevic
Eintracht Frankfurt · Bundesliga
Germany19y
Tkl/900.00
Traditional KeeperSmall Sample
97% match
N/A
#8
L
Lucão
Gil Vicente · Liga Portugal
Brazil25y
Tkl/900.00
Traditional KeeperSmall Sample
97% match
N/A
#9
A
Alain Taho
Inter · Serie A
Albania19y
Tkl/900.33
Traditional KeeperSmall Sample
96% match
N/A
#10
N
N. Flø
Sønderjyske Fodbold · Superliga
Denmark30yContract 2026
Tkl/900.00
Traditional KeeperSmall Sample
96% match
N/A
#11
A
A. Søndergaard
Hobro · Superliga
Denmark25y
Tkl/900.19
Traditional KeeperSmall Sample
96% match
N/A
#12
M
Marco Brylov
Hvidovre · Superliga
Denmark30y
Tkl/900.20
Traditional KeeperSmall Sample
95% 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 Jeffrey de Lange.
Ask AI about Jeffrey de Lange →Frequently Asked Questions
Who are the best alternatives to Jeffrey de Lange?▼
The top alternatives to Jeffrey de Lange based on AI DNA playing style analysis include: Alexéi Rojas, Deniz Ertaş, Lucas França, Sam Proctor, William Lykke. 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 Jeffrey de Lange in 2026?▼
Players with a similar profile to Jeffrey de Lange in 2026 include Alexéi Rojas (N/A), Deniz Ertaş (N/A), Lucas França (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Jeffrey de Lange play and who plays similarly?▼
Jeffrey de Lange plays as a Goalkeeper. Players with a comparable positional profile include Alexéi Rojas (Colombia, N/A); Deniz Ertaş (Turkey, N/A); Lucas França (Brazil, N/A); Sam Proctor (England, 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.