AI DNA Similarity
Best Alternatives to Zak Johnson
Players most similar to Zak Johnson (Defender, N/A) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.
Playing Style Analysis
A Ball-Playing CB. Statistically, he stands out as meticulous in distribution (94% pass accuracy), heavily involved in possession (72 passes/90) and central to possession (91 touches/90). The three most similar players to Zak Johnson by playing style are:
- Emil Christensen(87% match) — Emil Christensen is a Ball-Playing CB. Progressive defender comfortable on the ball.
- Ezri Konsa(86% match) — A Ball-Playing CB. Statistically, he stands out as meticulous in distribution (95% pass accuracy), wins the physical battle (67% duel success), heavily involved in possession (62 passes/90) and central to possession (72 touches/90).
- Guus Joppen(86% match) — A Ball-Playing CB. Statistically, he stands out as meticulous in distribution (87% pass accuracy).
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
Emil Christensen
B 93 · Superliga
Denmark28y
Tkl/900.85
KP/900.00
Ball-Playing CBBall-Playing
87% match
N/A
#2
E
Ezri Konsa
Aston Villa · Premier League
England28yContract 2028
Tkl/900.70
KP/900.14
Ball-Playing CBBall-Playing
Last 5: → Stable86% match
€35.0M
#3
G
Guus Joppen
De Treffers · Eredivisie
Netherlands36y
Tkl/901.43
KP/900.13
Ball-Playing CBBall-Playing
86% match
N/A
#4
G
Guillermo Maripán
Torino · Serie A
Chile31yContract 2026
Tkl/902.26
KP/900.40
Ball-Playing CBAerial
86% match
€4.0M
#5
L
Lukas Klostermann
RB Leipzig · Bundesliga
Germany29yContract 2028
Tkl/901.37
KP/900.10
Ball-Playing CBBall-Playing
86% match
€3.5M
#6
F
Federico Baschirotto
Cremonese · Serie A
Italy29y
Tkl/901.12
KP/900.04
Ball-Playing CBAerial
86% match
€4.0M
#7
A
Adam Webster
Brighton & Hove Albion · Premier League
England31yContract 2026
Tkl/900.55
KP/900.28
Ball-Playing CBBall-Playing
87% match
€7.0M
#8
M
Mawouna Amevor
FC Volendam · Eredivisie
Togo34y
Tkl/900.85
KP/900.30
Ball-Playing CBAerial
Last 5: → Stable86% match
N/A
#9
S
Sidney Lima
Santa Clara · Liga Portugal
Brazil29y
Tkl/901.26
KP/900.57
Ball-Playing CBAerial
Last 5: ↓ Dip86% match
N/A
#10
G
Gédéon Kalulu
Aris Limassol · Ligue 1
France28y
Tkl/902.18
KP/900.61
Ball-Playing CBBall-Playing
86% match
N/A
#11
S
Sam Beukema
Napoli · Serie A
Netherlands27yContract 2030
Tkl/901.17
KP/900.36
Ball-Playing CBBall-Playing
Last 5: → Stable86% match
€28.0M
#12
S
Samir Chergui
Paris · Ligue 1
France27y
Tkl/901.48
KP/900.28
Ball-Playing CB
86% 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 Zak Johnson.
Ask AI about Zak Johnson →Frequently Asked Questions
Who are the best alternatives to Zak Johnson?▼
The top alternatives to Zak Johnson based on AI DNA playing style analysis include: Emil Christensen, Ezri Konsa, Guus Joppen, Guillermo Maripán, Lukas Klostermann. 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 Zak Johnson in 2026?▼
Players with a similar profile to Zak Johnson in 2026 include Emil Christensen (N/A), Ezri Konsa (€35.0M), Guus Joppen (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Zak Johnson play and who plays similarly?▼
Zak Johnson plays as a Defender. Players with a comparable positional profile include Emil Christensen (Denmark, N/A); Ezri Konsa (England, €35.0M); Guus Joppen (Netherlands, N/A); Guillermo Maripán (Chile, €4.0M).
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.