AI DNA Similarity
Best Alternatives to Damon Mirani
Players most similar to Damon Mirani (Defender, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
A Ball-Playing CB in Eredivisie. Statistically, he stands out as commanding in the air (6. The three most similar players to Damon Mirani by playing style are:
- Dies Janse(100% match) — A Ball-Playing CB in Eredivisie. Statistically, he stands out as commanding in the air (4.
- Anselmo García MacNulty(100% match) — A Ball-Playing CB in Eredivisie. Statistically, he stands out as commanding in the air (5.
- Farouq Limouri(100% match) — A Ball-Playing CB in Eredivisie. Statistically, he stands out as commanding in the air (5.
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
D
Dies Janse
FC Groningen · Eredivisie
Netherlands20y
Tkl/901.20
KP/900.47
Ball-Playing CBAerial
Last 5: ↑ Hot100% match
N/A
#2
A
Anselmo García MacNulty
PEC Zwolle · Eredivisie
Republic of Ireland23yContract 2026
Tkl/901.40
KP/900.35
Ball-Playing CBAerial
Last 5: → Stable100% match
N/A
#3
F
Farouq Limouri
FC Eindhoven · Eredivisie
Netherlands23yContract 2026
Tkl/900.97
KP/900.48
Ball-Playing CBAerial
100% match
N/A
#4
A
Alec Van Hoorenbeeck
Heracles Almelo · Eredivisie
Belgium27y
Tkl/901.00
KP/900.37
Ball-Playing CBAerial
Last 5: ↑ Hot100% match
€600K
#5
B
Bruno Martins Indi
Sparta Rotterdam · Eredivisie
Netherlands34y
Tkl/900.64
KP/900.18
Ball-Playing CBAerial
Last 5: → Stable99% match
€7.7M
#6
G
Gabin Blancquart
VVV-Venlo · Eredivisie
France22yContract 2026
Tkl/901.25
KP/900.25
Ball-Playing CBAerial
Last 5: → Stable99% match
N/A
#7
J
Joris Kramer
Go Ahead Eagles · Eredivisie
Netherlands29yContract 2028
Tkl/900.83
KP/900.57
Ball-Playing CBBall-Playing
Last 5: ↑ Hot99% match
N/A
#8
C
Casper Widell
Excelsior · Eredivisie
Sweden22yContract 2026
Tkl/901.11
KP/900.30
Ball-Playing CBAerial
Last 5: → Stable99% match
N/A
#9
I
Iván Márquez
Fortuna Sittard · Eredivisie
Spain31y
Tkl/901.40
KP/900.12
Ball-Playing CBAerial
Last 5: → Stable99% match
N/A
#10
M
Maxim Mariani
TOP Oss · Eredivisie
Netherlands21y
Tkl/901.02
KP/900.13
Ball-Playing CBBall-Playing
Last 5: ↓ Dip99% match
N/A
#11
D
Dario Van den Buijs
Roda JC Kerkrade · Eredivisie
Belgium30y
Tkl/901.00
KP/900.20
Ball-Playing CBBall-Playing
Last 5: ↑ Hot99% match
€55K
#12
J
John Neeskens
FC Eindhoven · Eredivisie
United States32y
Tkl/900.93
KP/900.23
Ball-Playing CBAerial
Last 5: ↑ Hot99% 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 Damon Mirani.
Ask AI about Damon Mirani →Frequently Asked Questions
Who are the best alternatives to Damon Mirani?▼
The top alternatives to Damon Mirani based on AI DNA playing style analysis include: Dies Janse, Anselmo García MacNulty, Farouq Limouri, Alec Van Hoorenbeeck, Bruno Martins Indi. 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 Damon Mirani in 2026?▼
Players with a similar profile to Damon Mirani in 2026 include Dies Janse (N/A), Anselmo García MacNulty (N/A), Farouq Limouri (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Damon Mirani play and who plays similarly?▼
Damon Mirani plays as a Defender. Players with a comparable positional profile include Dies Janse (Netherlands, N/A); Anselmo García MacNulty (Republic of Ireland, N/A); Farouq Limouri (Netherlands, N/A); Alec Van Hoorenbeeck (Belgium, €600K).
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.