⬡ AI DNA · Live season

FC Bayern München· 2025/2026 · Bundesliga · PARTIAL

Best Alternatives to Jonathan Tah

Centre BackGermany30y€30.0MFull profile →

Ball-Playing CBBall-PlayingAerial

1.11Tkl/90

0.22KP/90

Based on 2,019 min · 2025/2026 · Bundesliga · PARTIAL

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

DNA matchPrioritizes Bundesliga & top-tier peers

Top 3 alternatives to Jonathan Tah

Dayot Upamecano80% match
FC Bayern München · Bundesliga · €70.0M
Nico Schlotterbeck80% match
Borussia Dortmund · Bundesliga · €55.0M
Castello Lukeba80% match
RB Leipzig · Bundesliga · €45.0M

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 (5.5 clearances/90), meticulous in distribution (96% pass accuracy), wins the physical battle (61% duel success), heavily involved in possession (85 passes/90), penetrates with forward passing (8.1 final-third passes/90), central to possession (97 touches/90) and active off the ball (2.2 press score/90), contributing to defensive transitions. The three closest DNA matches to Jonathan Tah:

Dayot Upamecano(80% match) — A Ball-Playing CB. Statistically, he stands out as active in the tackle (2.2 tackles/90), meticulous in distribution (93% pass accuracy), wins the physical battle (58% duel success), heavily involved in possession (82 passes/90), penetrates with forward passing (9.7 final-third passes/90), central to possession (94 touches/90), uses long balls frequently (5.3/90) and a high-intensity presser (press score 3.1/90), constantly disrupting opposition build-up.
Nico Schlotterbeck(80% match) — A Ball-Playing CB. Statistically, he stands out as naturally left-footed, active in the tackle (1.8 tackles/90), commanding in the air (4.5 clearances/90), meticulous in distribution (88% pass accuracy), wins the physical battle (62% duel success), heavily involved in possession (71 passes/90), penetrates with forward passing (12.6 final-third passes/90), central to possession (89 touches/90), switches play with precision (10.8 long balls/90, 62% accuracy) and active off the ball (2.7 press score/90), contributing to defensive transitions.
Castello Lukeba(80% match) — A Ball-Playing CB. Statistically, he stands out as naturally left-footed, commanding in the air (5.2 clearances/90), meticulous in distribution (90% pass accuracy), wins the physical battle (63% duel success), heavily involved in possession (71 passes/90), central to possession (85 touches/90), uses long balls frequently (5.6/90) and active off the ball (2.7 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

Dayot Upamecano

FC Bayern München · Bundesliga

France27yContract 2026

Tkl/902.25

KP/900.55

Ball-Playing CBBall-PlayingSteady form

vs Tah: €40M more expensive · 3y younger

80% match

€70.0M

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Frequently Asked Questions

Who are the best alternatives to Jonathan Tah?▼

The top alternatives to Jonathan Tah based on AI DNA playing style analysis include: Dayot Upamecano, Nico Schlotterbeck, Castello Lukeba, Luka Vuskovic, Edmond Tapsoba. 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 Jonathan Tah in 2026?▼

Players with a similar profile to Jonathan Tah in 2026 include Dayot Upamecano (€70.0M), Nico Schlotterbeck (€55.0M), Castello Lukeba (€45.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.

What position does Jonathan Tah play and who plays similarly?▼

Jonathan Tah plays as a Defender. Players with a comparable positional profile include Dayot Upamecano (France, €70.0M); Nico Schlotterbeck (Germany, €55.0M); Castello Lukeba (France, €45.0M); Luka Vuskovic (Croatia, €40.0M).

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.

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