⬡ AI DNA · Live season

Albirex Niigata· 2025 · J-League · FULL

Best Alternatives to Jason Geria

Right BackAustralia33yN/AFull profile →

Active Full-BackBall-PlayingAerial

1.33Tkl/90

0.13KP/90

Based on 1,422 min · 2025 · J-League · FULL

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

Note: Top DNA style matches can come from lower leagues. We also surface J-League peers ranked by market value and league tier — scroll the full list below.

DNA matchDNA style match · see league & value below

Top 3 alternatives to Jason Geria

Konrad Faber96% match
Dynamo Dresden · Bundesliga
Christopher Lannert95% match
DSC Arminia Bielefeld · Bundesliga
Carlens Arcus

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Intelligence Verdict

Aerials WonTop 23%

???Bottom 8%

“A Active Full-Back....”

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Playing Style Analysis

Active Full-BackBall-PlayingAerial

A Active Full-Back. Statistically, he stands out as commanding in the air (7.6 clearances/90), meticulous in distribution (88% pass accuracy), wins the physical battle (65% duel success), heavily involved in possession (66 passes/90), central to possession (81 touches/90), dominant in the air (3.2 aerials won/90, 62%) and uses long balls frequently (6.9/90). The three closest DNA matches to Jason Geria:

Konrad Faber(96% match) — A Active Full-Back. Statistically, he stands out as a capable chance creator (1.1 key passes/90), wins the physical battle (58% duel success), central to possession (71 touches/90) and active off the ball (2.8 press score/90), contributing to defensive transitions.
Christopher Lannert(95% 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.
Carlens Arcus(95% match) — A Active Full-Back. Statistically, he stands out as meticulous in distribution (88% pass accuracy), wins the physical battle (56% duel success) and active off the ball (2.5 press score/90), contributing to defensive transitions.

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

Comparison Base

Jason Geria

DefenderAustraliaJ-LeagueN/A

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Similar Players — Ranked by DNA Similarity

Konrad Faber

Dynamo Dresden · Bundesliga

Germany28yContract 2026

Tkl/901.47

KP/901.15

Active Full-BackSteady form

vs Geria: 5y younger

96% match

N/A

Compare Geria vs Faber →

Ask about replacements for Geria

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 Jason Geria?▼

The top alternatives to Jason Geria based on AI DNA playing style analysis include: Konrad Faber, Christopher Lannert, Carlens Arcus, Shurandy Sambo, Dinis Lourenço Casals Namura Borges Pinto. 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 Jason Geria in 2026?▼

Players with a similar profile to Jason Geria in 2026 include Konrad Faber (N/A), Christopher Lannert (N/A), Carlens Arcus (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.

What position does Jason Geria play and who plays similarly?▼

Jason Geria plays as a Defender. Players with a comparable positional profile include Konrad Faber (Germany, N/A); Christopher Lannert (Germany, N/A); Carlens Arcus (Haiti, N/A); Shurandy Sambo (Netherlands, 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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