AI DNA Similarity
Best Alternatives to Cristian Avram
Players most similar to Cristian Avram (Goalkeeper, €27K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Cristian Avram
- 1.Joey Kesting88% DNA match·Katwijk
- 2.Mark De Vries88% DNA match·Katwijk
- 3.Tim Coremans88% DNA match·FC Dordrecht
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
Traditional KeeperSmall Sample
A Traditional Keeper. Note: this profile is based on 540 minutes of playing time this season. The three most similar players to Cristian Avram by playing style are:
- Joey Kesting(88% match) — Joey Kesting is a Traditional Keeper. Line-focused shot-stopper. (Limited sample: 270 mins)
- Mark De Vries(88% match) — Mark de Vries is a Traditional Keeper. Line-focused shot-stopper. (Limited sample: 330 mins)
- Tim Coremans(88% match) — Tim Coremans is a Traditional Keeper. Line-focused shot-stopper. (Limited sample: 270 mins)
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
Joey Kesting
Katwijk · Eredivisie
Netherlands25y
Tkl/900.00
Traditional KeeperSmall Sample
vs Avram: 6y younger
88% match
N/A
#2
M
Mark De Vries
Katwijk · Eredivisie
Netherlands39y
Tkl/900.00
Traditional KeeperSmall Sample
vs Avram: 8y older
88% match
N/A
#3
T
Tim Coremans
FC Dordrecht · Eredivisie
Netherlands35y
Tkl/900.00
Traditional KeeperSmall Sample
vs Avram: 4y older
88% match
N/A
#4
D
David Spinelli
Napoli · Serie A
Italy18y
Tkl/900.00
Traditional KeeperSmall Sample
87% match
N/A
#5
T
Tommy Setford
Arsenal · Premier League
England20y
Tkl/900.00
Traditional KeeperSmall Sample
86% match
N/A
#6
J
Juan Pérez
Huesca · La Liga
Spain29yContract 2026
Tkl/900.00
Traditional KeeperSmall Sample
85% match
N/A
#7
A
Andrés Prieto
Ponferradina · La Liga
Spain32y
Tkl/900.00
Traditional KeeperSmall Sample
85% match
N/A
#8
L
Luca Denk
Bayern Alzenau · Bundesliga
Germany23y
Tkl/900.00
Traditional KeeperSmall Sample
85% match
N/A
#9
F
Freddie Woodman
Liverpool · Premier League
England29yContract 2026
Tkl/900.00
Traditional KeeperSmall Sample
85% match
€3.0M
#10
O
Okan Kocuk
Samsunspor · Super Lig
Turkey30yContract 2028
Tkl/900.07
Traditional Keeper
84% match
N/A
#11
M
Magrão
Fortaleza · Liga Portugal
Brazil25y
Tkl/900.40
Reliable KeeperSmall Sample
84% match
N/A
#12
O
Oskar Snorre Olsen
Lyngby Boldklub · Superliga
Denmark27y
Tkl/900.00
Traditional Keeper
84% 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 Cristian Avram.
Ask AI about Cristian Avram →Frequently Asked Questions
Who are the best alternatives to Cristian Avram?▼
The top alternatives to Cristian Avram based on AI DNA playing style analysis include: Joey Kesting, Mark De Vries, Tim Coremans, David Spinelli, Tommy Setford. 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 Cristian Avram in 2026?▼
Players with a similar profile to Cristian Avram in 2026 include Joey Kesting (N/A), Mark De Vries (N/A), Tim Coremans (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Cristian Avram play and who plays similarly?▼
Cristian Avram plays as a Goalkeeper. Players with a comparable positional profile include Joey Kesting (Netherlands, N/A); Mark De Vries (Netherlands, N/A); Tim Coremans (Netherlands, N/A); David Spinelli (Italy, 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.