⬡ AI DNA · Live season

FC Bayern München· 2025/2026 · Bundesliga · PARTIAL

Best Alternatives to David Santos Daiber

Defensive MidfieldPortugal19y€3.0MFull profile →

Ball-WinnerCreativeDefensive

1.50KP/90

0.00G/90

0.00A/90

Based on 540 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 David Santos Daiber

Niklas Dorsch86% match
Heidenheim · Bundesliga · €3.0M
Yannik Engelhardt85% match
Borussia Mönchengladbach · Bundesliga · €6.0M
Tom Krauß85% match
FC Köln · Bundesliga · €3.5M

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-WinnerCreativeDefensiveSmall Sample

A Ball-Winner. Statistically, he stands out as an elite creator (1.7 key passes/90), an aggressive ball-winner (3.3 tackles/90), meticulous in distribution (86% pass accuracy), wins the physical battle (62% duel success), heavily involved in play (62 touches/90), draws fouls effectively (2.2/90), top 10% creator in the league and top 10% tackler in the league. Note: this profile is based on 540 minutes of playing time this season. The three closest DNA matches to David Santos Daiber:

Niklas Dorsch(86% match) — A Box-to-Box. Statistically, he stands out as active in the tackle (2.4 tackles/90), meticulous in distribution (89% pass accuracy), wins the physical battle (61% duel success), heavily involved in play (53 touches/90) and active off the ball (2.8 press score/90), contributing to defensive transitions.
Yannik Engelhardt(85% match) — A Box-to-Box. Statistically, he stands out as meticulous in distribution (86% pass accuracy), heavily involved in play (60 touches/90) and active off the ball (2.4 press score/90), contributing to defensive transitions.
Tom Krauß(85% match) — A Ball-Winner. Statistically, he stands out as an aggressive ball-winner (3.6 tackles/90), meticulous in distribution (86% pass accuracy), wins the physical battle (61% duel success), wins the ball cleanly (2.1 successful tackles/90), heavily involved in play (62 touches/90), a high-intensity presser (press score 3.6/90), constantly disrupting opposition build-up and top 10% tackler in the league.

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

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Similar Players — Ranked by DNA Similarity

Niklas Dorsch

Heidenheim · Bundesliga

Germany28yContract 2028

KP/900.95

G/900.00

Box-to-BoxSteady form

vs Daiber: 9y older

86% match

€3.0M

Compare Daiber vs Dorsch →

Ask about replacements for Daiber

Same DNA shortlist as above — budget fit, who to avoid, or why the top match works.

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Frequently Asked Questions

Who are the best alternatives to David Santos Daiber?▼

The top alternatives to David Santos Daiber based on AI DNA playing style analysis include: Niklas Dorsch, Yannik Engelhardt, Tom Krauß, Silas Gnaka, Luis Engelns. 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 David Santos Daiber in 2026?▼

Players with a similar profile to David Santos Daiber in 2026 include Niklas Dorsch (€3.0M), Yannik Engelhardt (€6.0M), Tom Krauß (€3.5M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.

What position does David Santos Daiber play and who plays similarly?▼

David Santos Daiber plays as a Midfielder. Players with a comparable positional profile include Niklas Dorsch (Germany, €3.0M); Yannik Engelhardt (Germany, €6.0M); Tom Krauß (Germany, €3.5M); Silas Gnaka (Ivory Coast, €3.0M).

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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