風見隼人大戰Kuromi – Tarmac Works x Uno Racing Audi R8 LMS GT3 evo II
Tarmac Works去年以Hello Kitty出征東望洋賽道，今年「打孖上」，與Uno Racing攜手出戰第71屆澳門格蘭披治大賽車澳門GT盃 – 國際汽聯GT世界盃，兩部分別披上Kuromi及《高智能方程式》(閃電霹靂車)的Audi R8 LMS GT3 evo II分別由本地車手方駿宇及內地車手余快駕駛。除了比賽外當然少不了模型車及周邊產品，看來要早點去澳門排隊了。
10號車由香港車手方駿宇Adderly駕駛，將以Sanrio旗下角色Kuromi為主題，把這位集可愛與叛逆於一身的角色塗裝在Audi R8 LMS GT3 evo II上。方駿宇作為香港唯一獲得FIA超級駕駛執照的F1實習車手，這次是他第五次代表Uno Racing Team出征澳門。30號車則由23歲的中國車手余快James駕駛，以經典動畫《高智能方程式》為靈感，向這部1991年上映、描繪未來賽車世界的作品致敬。余快雖然是首次征戰澳門，但作為Audi Sport Asia Junior車手，他在各項GT賽事中已累積了豐富經驗。
值得一提的是，今年剛好是Tarmac Works成立十週年，期間生產超過三百萬輛模型車，更開創了首個汽車收藏卡品牌Tarmac Cards，為香港車迷及收藏界開創先河。
今年各大模型車品牌會否由場外鬥到場內呢？拭目以待。
Hayato Kazami vs Kuromi: An Anime Showdown
Following last year’s Hello Kitty livery at the Guia Circuit, Tarmac Works is doubling down this year. In partnership with Uno Racing, they’re entering the 71st Macau Grand Prix FIA GT World Cup with two specially themed Audi R8 LMS GT3 evo II race cars, featuring Kuromi and Cyber Formula liveries, driven by local racer Adderly Fong and mainland Chinese driver James Yu respectively. Beyond the race itself, fans should expect exclusive model cars and merchandise – better queue up early in Macau!
Car #10, piloted by Hong Kong’s Adderly Fong, showcases Sanrio’s Kuromi character, bringing this lovably rebellious character to life on the Audi R8 LMS GT3 evo II. As Hong Kong’s only F1 test driver with an FIA Super License, this marks Fong’s fifth appearance with Uno Racing Team in Macau. Car #30, driven by 23-year-old Chinese racer James Yu, pays homage to the classic 1991 anime Cyber Formula, which depicted a futuristic racing world. While this is Yu’s Macau debut, he brings substantial experience as an Audi Sport Asia Junior driver in various GT championships.
Notably, this year marks Tarmac Works’ 10th anniversary. The company has produced over three million die-cast models and pioneered the first automotive trading card brand, Tarmac Cards, setting new standards in Hong Kong’s collector community.
Will this year see the competition between model car brands extend from the sidelines to the track itself? We’ll have to wait and see.
