AI DNA Similarity
Best Alternatives to Ivanildo Fernandes
Players most similar to Ivanildo Fernandes (Defender, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
Ivanildo Jorge Mendes Fernandes is a Physical Stopper. Aggressive defender who wins aerial and ground duels. The three most similar players to Ivanildo Fernandes by playing style are:
- José Fonte(88% match) — José Miguel da Rocha Fonte is a Physical Stopper. Aggressive defender who wins aerial and ground duels.
- Simone Canestrelli(87% match) — A Physical Stopper. Statistically, he stands out as commanding in the air (5.8 clearances/90) and wins the physical battle (57% duel success).
- Hjalmar Ekdal(87% match) — A Physical Stopper. Statistically, he stands out as commanding in the air (7.3 clearances/90), wins the physical battle (64% duel success) and dominant in the air (3.0 aerials won/90, 62%).
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
José Fonte
Casa Pia · Liga Portugal
Portugal42y
Tkl/900.65
KP/900.19
Physical StopperAerial
88% match
€5.6M
#2
S
Simone Canestrelli
Pisa · Serie A
Italy25yContract 2028
Tkl/901.27
KP/900.30
Physical StopperAerial
Last 5: → Stable87% match
€7.0M
#3
H
Hjalmar Ekdal
Burnley · Premier League
Sweden27yContract 2027
Tkl/901.45
KP/900.23
Physical StopperAerial
87% match
€6.0M
#4
F
Frederik Jäkel
Eintracht Braunschweig · Bundesliga
Germany25y
Tkl/901.47
KP/900.31
Physical StopperAerial
86% match
N/A
#5
S
Sergey Politevich
Torpedo BelAZ · Super Lig
Belarus35y
Tkl/901.00
KP/900.08
Physical StopperAerial
86% match
N/A
#6
D
Dimitrios Goutas
Gençlerbirliği · Super Lig
Greece31yContract 2027
Tkl/901.34
KP/900.04
Physical StopperAerial
Last 5: → Stable86% match
N/A
#7
I
Issiar Dramé
Estrela Amadora · Liga Portugal
Mali27yContract 2027
Tkl/901.20
KP/900.12
Physical StopperAerial
86% match
N/A
#8
J
James Tarkowski
Everton · Premier League
England33yContract 2026
Tkl/901.34
KP/900.52
Physical StopperAerial
Last 5: ↓ Dip86% match
€7.0M
#9
B
Brendan Chardonnet
Brest · Ligue 1
France31yContract 2027
Tkl/901.24
KP/900.39
Physical StopperAerial
Last 5: → Stable86% match
€5.0M
#10
K
Kristoffer Ajer
Brentford · Premier League
Norway27yContract 2028
Tkl/901.96
KP/900.28
Physical StopperAerial
Last 5: → Stable86% match
€18.0M
#11
H
Hasan Kuruçay
Schalke 04 · Bundesliga
Denmark28y
Tkl/901.88
KP/900.09
Physical StopperAerial
Last 5: → Stable86% match
N/A
#12
D
Danilho Doekhi
FC Union Berlin · Bundesliga
Netherlands27yContract 2026
Tkl/901.38
KP/900.23
Physical StopperAerial
Last 5: ↓ Dip86% match
€13.0M
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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 Ivanildo Fernandes.
Ask AI about Ivanildo Fernandes →Frequently Asked Questions
Who are the best alternatives to Ivanildo Fernandes?▼
The top alternatives to Ivanildo Fernandes based on AI DNA playing style analysis include: José Fonte, Simone Canestrelli, Hjalmar Ekdal, Frederik Jäkel, Sergey Politevich. 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 Ivanildo Fernandes in 2026?▼
Players with a similar profile to Ivanildo Fernandes in 2026 include José Fonte (€5.6M), Simone Canestrelli (€7.0M), Hjalmar Ekdal (€6.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Ivanildo Fernandes play and who plays similarly?▼
Ivanildo Fernandes plays as a Defender. Players with a comparable positional profile include José Fonte (Portugal, €5.6M); Simone Canestrelli (Italy, €7.0M); Hjalmar Ekdal (Sweden, €6.0M); Frederik Jäkel (Germany, 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.