AI DNA Similarity
Best Alternatives to Ilounga Pata
Players most similar to Ilounga Pata (Defender, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
A Reading Defender. Statistically, he stands out as active in the tackle (2.2 tackles/90), reads the game exceptionally (2.2 interceptions/90) and wins the physical battle (57% duel success). The three most similar players to Ilounga Pata by playing style are:
- Eduardo Mancha(98% match) — A Reading Defender. Statistically, he stands out as reads the game exceptionally (1.9 interceptions/90) and wins the physical battle (56% duel success).
- Ari Leifsson(98% match) — A Reading Defender. Statistically, he stands out as reads the game exceptionally (1.5 interceptions/90) and wins the physical battle (57% duel success).
- Jano ter Horst(98% match) — A Reading Defender. Statistically, he stands out as active in the tackle (2.1 tackles/90), reads the game exceptionally (1.6 interceptions/90) and active off the ball (2.2 press score/90), contributing to defensive transitions.
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
E
Eduardo Mancha
Buriram United · Liga Portugal
Brazil30y
Tkl/901.67
KP/900.00
Reading Defender
Last 5: → Stable98% match
N/A
#2
A
Ari Leifsson
Kolding IF · Superliga
Iceland27y
Tkl/901.07
KP/900.14
Reading Defender
98% match
N/A
#3
J
Jano ter Horst
Preußen Münster · Bundesliga
Germany23y
Tkl/901.88
KP/901.32
Reading Defender
Last 5: ↑ Hot98% match
N/A
#4
A
Alejandro Benítez
Lucena · La Liga
Spain25y
Tkl/901.99
KP/900.50
Reading DefenderSmall Sample
98% match
N/A
#5
J
Jasper Dahlhaus
Fortuna Sittard · Eredivisie
Netherlands24yContract 2026
Tkl/901.98
KP/900.68
Reading Defender
Last 5: ↓ Dip97% match
N/A
#6
N
Neville Ogidi Nwankwo
Telstar · Eredivisie
Netherlands23yContract 2026
Tkl/902.26
KP/900.35
Reading DefenderAerial
Last 5: → Stable96% match
N/A
#7
J
Javi Jiménez
UD Ibiza · La Liga
Spain30y
Tkl/901.99
KP/900.74
Reading Defender
96% match
N/A
#8
Y
Yousri el Anbri
VVV-Venlo · Eredivisie
Netherlands20yContract 2027
Tkl/902.16
KP/900.00
Reading DefenderAerial
96% match
N/A
#9
O
O. Buur
Lyngby Boldklub · Superliga
Denmark27yContract 2026
Tkl/901.20
KP/901.03
Reading Defender
96% match
N/A
#10
A
Abdullah Şahindere
Gençlerbirliği · Super Lig
Turkey22yContract 2026
Tkl/902.62
KP/900.50
Reading DefenderAerial
96% match
N/A
#11
T
Thierry Correia
Valencia · La Liga
Portugal27yContract 2026
Tkl/901.96
KP/900.65
Reading Defender
Last 5: ↑ Hot96% match
€3.0M
#12
S
Sylian Mokono
VVV-Venlo · Eredivisie
Netherlands27y
Tkl/901.73
KP/900.69
Reading DefenderAerial
96% 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 Ilounga Pata.
Ask AI about Ilounga Pata →Frequently Asked Questions
Who are the best alternatives to Ilounga Pata?▼
The top alternatives to Ilounga Pata based on AI DNA playing style analysis include: Eduardo Mancha, Ari Leifsson, Jano ter Horst, Alejandro Benítez, Jasper Dahlhaus. 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 Ilounga Pata in 2026?▼
Players with a similar profile to Ilounga Pata in 2026 include Eduardo Mancha (N/A), Ari Leifsson (N/A), Jano ter Horst (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Ilounga Pata play and who plays similarly?▼
Ilounga Pata plays as a Defender. Players with a comparable positional profile include Eduardo Mancha (Brazil, N/A); Ari Leifsson (Iceland, N/A); Jano ter Horst (Germany, N/A); Alejandro Benítez (Spain, 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.