WSM Cut Diamond 40" x 62" EVA Foam Traction Mat for Jet Skis, WaveRunners & Boats

WSM Cut Diamond 40" x 62" EVA Foam Traction Mat for Jet Skis, WaveRunners & Boats

Brand: WSM Performance
SKU: 012-050BLK
90.98 USD In stock Buy at Merchant

Upgrade your watercraft with the WSM Cut Diamond 40" x 62" Traction Mat, a premium EVA foam decking material designed for maximum grip, comfort, and durability. Featuring an aggressive cut diamond pattern, this large-format traction sheet provides superior traction in wet and dry conditions, making it ideal for personal watercraft, jet skis, boats, swim platforms, trailers, and custom marine applications. The oversized 40" x 62" sheet allows for easy trimming and customization, giving builders and riders the flexibility to create a professional-looking custom deck surface. Constructed from high-quality, UV-resistant EVA foam, the WSM Cut Diamond Traction Mat enhances rider control, reduces fatigue, and adds a clean, factory-style finish to any project. Whether you're upgrading a Sea-Doo, Yamaha WaveRunner, Kawasaki Jet Ski, or custom marine build, this traction mat delivers the performance, comfort, and appearance serious riders demand. NOTE: Sheets may contain minor surface holes, which are a normal characteristic of EVA foam material. Installation requires contact adhesive (sold separately). This item is not included in our Free Shipping promotion. WSM traction mat, cut diamond traction mat, EVA foam marine flooring, jet ski traction mat, PWC traction mat, Sea-Doo traction mat, WaveRunner traction mat, Kawasaki Jet Ski traction mat, custom hydro turf alternative, marine deck mat, EVA foam decking, personal watercraft traction pads. WSM Cut Diamond Traction Mat EVA Foam Traction Mat Jet Ski Traction Mat PWC Traction Mat Marine Decking Foam Sea-Doo Traction Mat Yamaha WaveRunner Traction Mat Kawasaki Jet Ski Traction Mat Custom Marine Decking EVA Foam Decking Sheet

Variants (1)
  • Default Title — 90.98 USD — In stock

How AI sees this product

The more complete this product's details, the more confidently AI assistants can understand and recommend it.

83%