AI DNA Similarity
Best Alternatives to Reda Boultam
Players most similar to Reda Boultam (Midfielder, €200K) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Top 3 Alternatives to Reda Boultam
- 1.Yanis Khafi86% DNA match·Paris Saint Germain
- 2.Gerry Vlak85% DNA match·Koninklijke HFC
- 3.Maurizio Brenna85% DNA match·Katwijk
Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.
RT
Intelligence Verdict
???Bottom 0%
“Reda Boultam is a Midfielder....”
See Full Verdict + Share Card →Playing Style Analysis
Small Sample
Reda Boultam is a Midfielder. Solid midfield option. (Limited sample: 362 mins) The three most similar players to Reda Boultam by playing style are:
- Yanis Khafi(86% match) — Yanis Khafi is a Midfielder. Solid midfield option. Statistically, he stands out as a capable chance creator (1.2 key passes/90), a prolific assist provider (0.29 assists/90) and top 10% creator in the league. (Limited sample: 306 mins)
- Gerry Vlak(85% match) — Gerry Vlak is a Midfielder. Solid midfield option. (Limited sample: 378 mins)
- Maurizio Brenna(85% match) — Maurizio Brenna is a Midfielder. Solid midfield option. (Limited sample: 299 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
Y
Yanis Khafi
Paris Saint Germain · Ligue 1
France20y
KP/901.18
G/900.00
Small Sample
vs Boultam: 8y younger
86% match
N/A
#2
G
Gerry Vlak
Koninklijke HFC · Eredivisie
Netherlands30y
KP/900.00
G/900.00
Small Sample
vs Boultam: 2y older
85% match
N/A
#3
M
Maurizio Brenna
Katwijk · Eredivisie
Netherlands27y
KP/900.00
G/900.00
Small Sample
85% match
N/A
#4
S
Salvador Blopa
Sporting CP · Liga Portugal
Portugal18y
KP/900.00
G/900.00
Small Sample
85% match
N/A
#5
J
Jeremiah Mensah
Bayer 04 Leverkusen · Bundesliga
Germany18y
KP/900.00
G/900.00
Small Sample
84% match
N/A
#6
K
Kiano Dyer
FC Volendam · Eredivisie
England19y
KP/900.00
G/900.00
Small Sample
84% match
N/A
#7
R
Rick van der Meer
Katwijk · Eredivisie
Netherlands28y
KP/900.00
G/900.00
Small Sample
84% match
N/A
#8
J
Joseph Nduquidi
Metz · Ligue 1
France21y
KP/900.15
G/900.00
Balanced MidfielderSmall Sample
Last 5: ↓ Dip83% match
N/A
#9
A
Alamara Djabi
FC Midtjylland · Superliga
Guinea-Bissau19y
KP/900.00
G/900.00
Small Sample
83% match
N/A
#10
D
Doni Arifi
SpVgg Greuther Fürth · Bundesliga
Finland24y
KP/901.12
G/900.00
Small Sample
Last 5: ↓ Dip82% match
N/A
#11
U
Ulrich Taffertshofer
Atlético Baleares · La Liga
Germany34yContract 2026
KP/900.00
G/900.00
82% match
N/A
#12
E
Emmanuele De Chiara
Napoli · Serie A
Italy20y
KP/900.00
G/900.00
Small Sample
82% 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 Reda Boultam.
Ask AI about Reda Boultam →Frequently Asked Questions
Who are the best alternatives to Reda Boultam?▼
The top alternatives to Reda Boultam based on AI DNA playing style analysis include: Yanis Khafi, Gerry Vlak, Maurizio Brenna, Salvador Blopa, Jeremiah Mensah. 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 Reda Boultam in 2026?▼
Players with a similar profile to Reda Boultam in 2026 include Yanis Khafi (N/A), Gerry Vlak (N/A), Maurizio Brenna (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Reda Boultam play and who plays similarly?▼
Reda Boultam plays as a Midfielder. Players with a comparable positional profile include Yanis Khafi (France, N/A); Gerry Vlak (Netherlands, N/A); Maurizio Brenna (Netherlands, N/A); Salvador Blopa (Portugal, 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.