WebIdeal for fuller less powerful waves or waves that are hard to paddle into. Once up and riding it will handle anything and turns like a much shorter board. Shop This Model. The Greedy Beaver. Firewire. 6' 6" x 21 1/4" x 2 3/4" - 46.4L. Review by Oliver. Age: 22 Height:120 cm Weight: 68 kg Skill: Experienced. WebI used F8 blackstix on a 6’10” greedy beaver though I weigh about 190. They worked well for me and the beaver was a great choice stepping off the wave storm. angrytroll123 • 10 …
AWT-Greedy Beaver – Firewire - USA
WebDimensions 6′ 10″ 21 3/4″ 2 7/8″ 52.1 The Greedy Beaver has a real shortboard feel with a compressed longboard outline, a true crossover board with midlength retro glide and shortboard maneuverability. Put it on rail while engaging the single to double concave, step on the rounded pin and it surfs like a shortboard in the pocket. Or take advantage of the … WebI'm considering ordering a greedy beaver to mix things up between that and my seaside. I know it's going to cover the same wave range, but I'd get this one with a little more length … react yarn install
Greedy Beaver - FIREWIRE SURFBOARDS
WebA longer greedy beaver would be pretty sick but at that price, you might as well look at other boards. The best board for what you’re looking for is probably the 7’ outlier. It looks like it can catch absolute trash longboard waves but it’s … WebOct 22, 2024 · The Greedy Beaver is very similar to the board you are working on, just a smaller scale. The shape looks fun, I can't wait to get it in the water and put it through its paces. Let us know how it went on the 9x24. Logged Home Break: Doheny Tic Tac v3 (Hoglet): 6' 6" x 23" x 3.6" x 67L Omni: 6' 9" x 23" x 3.75" x 68L ... Web6' 00" x 20 1/2" x 2 1/2" - 37.5 L. $935.00. Order Now Find a Surf Shop. This variant is currently unavailable. AWT - "ARTIFICIAL WAVE TECHNOLOGY". Boards that are build specifically for wave pools/parks and standing waves. They are built with reinforced parabolic wooden rails, wooden noise and tail blocks with carbon fiber reinforcement. react yarn 运行