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Teasing Master Takagi-san: The Movie (Japanese: 劇場版 からかい上手の高木さん, Hepburn: Gekijōban Karakai Jōzu no Takagi-san) is a 2022 Japanese animated romantic comedy film based on the manga series Teasing Master Takagi-san and its spin-off Tomorrow Is Saturday, both written and illustrated by Sōichirō Yamamoto, and a sequel to the 2018–2022 anime television series ...
Teasing Master Takagi-san Movie had an early screening in Tokyo on May 16, 2024, [19] and was released in Japan on May 31. [10] The film was screened at the Shanghai International Film Festival in Shanghai, China in June 2024, [20] and had its North American premiere at the 28th Fantasia International Film Festival in Montreal, Quebec, Canada ...
Teasing Master Takagi-san: The Movie: Hiroaki Akagi Shin-Ei Animation: Sentai Filmworks — — August 18, 2022: Dragon Ball Super: Super Hero: Tetsuro Kodama Toei Animation: Crunchyroll: PG-13 93% [311] August 25, 2022 [312] Bleach: Hell Verse: Noriyuki Abe: Pierrot
The mobile game Teasing Master Takagi-san: Kyunkyun Records (からかい上手の高木さん キュンキュンレコーズ) was released on Android and iOS on June 8, 2022. [47] The game ended its service on March 31, 2023, but Toho Games stated in January 2023 that they intended to release its offline version.
Teasing Master Takagi-san Movie: Rikiya Imaizumi: Mei Nagano, Fumiya Takahashi, Yōsuke Eguchi, Jin Suzuki, Yuna Taira [73] The Ohara Family Rhapsody: Hideyuki Katsuki: Atsuko Takahata, Isao Hashizume, Ayame Goriki, Kyōzō Nagatsuka [74] Who Were We? Tetsuya Tomina: Nana Komatsu, Ryuhei Matsuda, Shinobu Otake, Kataoka Sennosuke, Shizuka ...
The holidays are a festive time of year. Homes are decorated for the season — Christmas trees, ornaments, poinsettias, and the like. And there are also plenty of holiday treats that are ...
Kinako (film) T. Teasing Master Takagi-san Movie This page was last edited on 8 September 2021, at 15:39 (UTC). Text is available under the Creative Commons ...
Don't rely on bloviating pundits to tell you who'll prevail on Hollywood's big night. The Huffington Post crunched the stats on every Oscar nominee of the past 30 years to produce a scientific metric for predicting the winners at the 2013 Academy Awards.
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