⬡ AI DNA · Live season

FSV Mainz 05· 2025/2026 · Bundesliga · PARTIAL

Best Alternatives to Anthony Caci

Right BackFrance28y€8.0MFull profile →

Active Full-BackSmall Sample

2.60Tkl/90

1.90KP/90

Based on 520 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 Anthony Caci

Christopher Lannert97% match
DSC Arminia Bielefeld · Bundesliga
Julian Ryerson80% match
Borussia Dortmund · Bundesliga · €20.0M
Rasmus Kristensen80% match
Eintracht Frankfurt · Bundesliga · €14.0M

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

Active Full-BackSmall Sample

A Active Full-Back. Statistically, he stands out as comfortable with both feet, an elite creator (1.9 key passes/90), an aggressive ball-winner (2.6 tackles/90), wins the physical battle (60% duel success), creates high-quality scoring opportunities (0.52 big chances/90), penetrates with forward passing (14.4 final-third passes/90), central to possession (89 touches/90), uses long balls frequently (5.7/90), active off the ball (2.5 press score/90), contributing to defensive transitions and top 10% tackler in the league. Note: this profile is based on 520 minutes of playing time this season. The three closest DNA matches to Anthony Caci:

Christopher Lannert(97% match) — A Active Full-Back. Statistically, he stands out as an elite creator (1.5 key passes/90), an aggressive ball-winner (2.9 tackles/90), wins the physical battle (62% duel success), penetrates with forward passing (9.2 final-third passes/90), central to possession (75 touches/90), uses long balls frequently (5.3/90), active off the ball (2.5 press score/90), contributing to defensive transitions and top 10% tackler in the league.
Julian Ryerson(80% match) — A Active Full-Back. Statistically, he stands out as an elite creator (2.2 key passes/90), a prolific assist provider (0.63 assists/90), creates high-quality scoring opportunities (0.83 big chances/90), delivers dangerous crosses (2.8 accurate crosses/90) and active off the ball (2.3 press score/90), contributing to defensive transitions.
Rasmus Kristensen(80% match) — A Active Full-Back. Statistically, he stands out as an aggressive ball-winner (2.7 tackles/90), wins the physical battle (56% duel success), penetrates with forward passing (10.1 final-third passes/90), wins the ball cleanly (1.9 successful tackles/90), central to possession (87 touches/90), uses long balls frequently (6.1/90), active off the ball (3.0 press score/90), contributing to defensive transitions 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

Christopher Lannert

DSC Arminia Bielefeld · Bundesliga

Germany28y

Tkl/902.96

KP/902.51

Active Full-BackIn form ↑

97% match

N/A

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Frequently Asked Questions

Who are the best alternatives to Anthony Caci?▼

The top alternatives to Anthony Caci based on AI DNA playing style analysis include: Christopher Lannert, Julian Ryerson, Rasmus Kristensen, Ridle Baku, Josha Vagnoman. 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 Anthony Caci in 2026?▼

Players with a similar profile to Anthony Caci in 2026 include Christopher Lannert (N/A), Julian Ryerson (€20.0M), Rasmus Kristensen (€14.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.

What position does Anthony Caci play and who plays similarly?▼

Anthony Caci plays as a Defender. Players with a comparable positional profile include Christopher Lannert (Germany, N/A); Julian Ryerson (Norway, €20.0M); Rasmus Kristensen (Denmark, €14.0M); Ridle Baku (Germany, €12.0M).

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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