"On the eve of the window opening for the YETI Natural Selection Revelstoke, Natural Selection Super Sessions and Research & Development (RND) will premiere revealing the entire roster that will ride in Revy. Both Super Sessions and RND will premiere on March 9 on Red Bull TV, with the top six riders, two from each event, being announced at the end of the shows and during the YETI Natural Selection Revelstoke Opening Ceremony where riders are announced to a live audience."
"From Japan's Powder Pillows, the Powder Mountain's new DMI, and Whitewater's infamous Trash Chutes, many of snowboarding's most exciting up-and-comers take on legends and Tour veterans for a spot in Revelstoke, by laying down film-part worthy lines. The updated premiere date follows a mid-winter climate reset that required shifts across all Super Session event windows. Rather than force riders to compete on suboptimal conditions, NST followed Mother Nature's lead."
"Created by 2021 NST Champion Robin Van Gyn, RND is an invite-only backcountry snowboard contest designed to accelerate progression and prepare women to compete at the highest level. The event features 14 invited riders and unfolds across one jam-style contest day in Whitewater's legendary Trash Chutes-stacked with pillows, chutes, and hand-built features-plus two on-mountain filming days throughout the resort and sidecountry."
Natural Selection Super Sessions and Research & Development (RND) will premiere March 9 on Red Bull TV, revealing the full Natural Selection Revelstoke roster and naming the top six riders — two from each event — at the end of the shows and during the Revelstoke Opening Ceremony. Event windows shifted after a mid-winter climate reset to ensure optimal conditions, and organizers increased investment in RND to strengthen pathway-building for women. RND is an invite-only backcountry snowboard contest with 14 riders, a jam-style contest day in Whitewater's Trash Chutes, plus two on-mountain filming days. RND has advanced multiple women into NST competition.
Read at SnowBrains
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