⬡ AI DNA · Live season

Hillerød· 2025/2026 · Superliga · PARTIAL

Best Alternatives to J. Witt

DefenderDenmark33yN/AFull profile →

Ball-Playing CBBall-PlayingAerial

0.88Tkl/90

0.33KP/90

Based on 2,350 min · 2025/2026 · Superliga · PARTIAL

Ranked by AI DNA similarity — playing style, pressing, and tactical fit. Below: the closest replacements with per-90 stats and form.

DNA matchPrioritizes Superliga & top-tier peers

Top 3 alternatives to J. Witt

Andreas Heimer99% match
B 93 · Superliga
Nemanja Nedić99% match
Kolding IF · Superliga
Wessel Dammers99% match
Randers FC · Superliga

Ranked by RT Player DNA + league/value credibility. Scroll for full list, per-90 stats, and share cards.

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Playing Style Analysis

Ball-Playing CBBall-PlayingAerial

A Ball-Playing CB. Statistically, he stands out as commanding in the air (6.3 clearances/90), meticulous in distribution (86% pass accuracy), wins the physical battle (65% duel success), heavily involved in possession (80 passes/90), penetrates with forward passing (14.2 final-third passes/90), central to possession (95 touches/90), dominant in the air (3.2 aerials won/90, 64%), uses long balls frequently (13.5/90) and active off the ball (2.7 press score/90), contributing to defensive transitions. The three closest DNA matches to J. Witt:

Andreas Heimer(99% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (4.8 clearances/90), wins the physical battle (60% duel success), heavily involved in possession (76 passes/90), penetrates with forward passing (11.1 final-third passes/90), central to possession (91 touches/90), uses long balls frequently (8.2/90) and active off the ball (2.6 press score/90), contributing to defensive transitions.
Nemanja Nedić(99% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (6.7 clearances/90), meticulous in distribution (85% pass accuracy), wins the physical battle (69% duel success), central to possession (76 touches/90), dominant in the air (4.3 aerials won/90, 68%), uses long balls frequently (5.9/90) and active off the ball (2.4 press score/90), contributing to defensive transitions.
Wessel Dammers(99% match) — A Ball-Playing CB. Statistically, he stands out as commanding in the air (6.3 clearances/90), meticulous in distribution (90% pass accuracy), wins the physical battle (63% duel success), heavily involved in possession (73 passes/90), penetrates with forward passing (9.1 final-third passes/90), central to possession (87 touches/90), switches play with precision (11.6 long balls/90, 66% accuracy) and active off the ball (2.0 press score/90), contributing to defensive transitions.

Similarity uses per-90 performance across playing-style dimensions. How Player DNA matching works →

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Similar Players — Ranked by DNA Similarity

B 93 · Superliga

Ball-Playing CBBall-PlayingSteady form

vs Witt: 5y younger

99% match

N/A

Compare Witt vs Heimer →

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Frequently Asked Questions

Who are the best alternatives to J. Witt?▼

The top alternatives to J. Witt based on AI DNA playing style analysis include: Andreas Heimer, Nemanja Nedić, Wessel Dammers, Daniel Anyembe, M. Jacobsen. 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 J. Witt in 2026?▼

Players with a similar profile to J. Witt in 2026 include Andreas Heimer (N/A), Nemanja Nedić (N/A), Wessel Dammers (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.

What position does J. Witt play and who plays similarly?▼

J. Witt plays as a Defender. Players with a comparable positional profile include Andreas Heimer (Denmark, N/A); Nemanja Nedić (Montenegro, N/A); Wessel Dammers (Netherlands, N/A); Daniel Anyembe (Kenya, 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.

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