Shiomi Yuuna(汐見ゆうな)
Profile

| Height | 151cm |
|---|---|
| Measurements | B80 / W56 / H84 (D cup) |
| Birthday | 1985-07-17 |
| Blood Type | Type B |
| Hobbies | 旅行、テニス |
| Birthplace | 神奈川県 |
About Shiomi Yuuna
Shiomi Yuuna is a Japanese Adult Video (JAV) actress hailing from Kanagawa Prefecture, born on July 17, 1985. Standing at 151cm tall, her measurements are B80(D)-W56-H84. She entered the JAV industry around 2005, based on the release dates of her early works, and appears to have maintained a presence for several years, accumulating a substantial filmography. Her work encompasses a broad range of JAV genres, with a strong focus on themes such as bondage (拘束), lesbian scenarios (レズビアン), and fetish content (その他フェチ). She frequently appears in titles featuring cosplay (コスプレ), nurse/healthcare themes (看護婦・ナース), and "slutty" or "bitchy" woman roles (痴女). The prevalence of "digital mosaic" (デジモ) tags in her earlier work indicates a common production style of the time. There is a trend towards compilation or "best of" works (ベスト・総集編) later in her career, suggesting a retrospective look at her popular scenes. Shiomi Yuuna has worked with a number of prominent JAV studios, including Moodyz, which features heavily in her filmography, as well as GIGA, Baby Entertainment, Glayz, U&K, Athena Eizou, and Gogo's. She has also featured in several series, such as "SUPER Heroine Domination", "Porchio Esthe Salon", "Digital Mosaic", "O-Souji Fella 4 Hours", "Deep Lesbian", "Hoken Kyoushi", "U&K Best", "Kanojo no Kanojo to" and "Ninki Idol no Honki Sex". Overall, Shiomi Yuuna's career showcases a versatility within various JAV niches. She is known for her participation in bondage-themed scenes, lesbian content, and her portrayals of characters in fetish-driven scenarios, often appearing in cosplay or nurse-themed productions. Her frequent collaboration with studios like Moodyz and her involvement in several series have established her as a recognizable figure within the JAV landscape.
Similar Actresses
Results based on AI facial recognition analysis. This does not identify individuals.



















