🌦️ Goodyear Eagle RS-A 225/60R16 97V High Performance All-Season Tire
⚡ Price Comparison Summary:
Weekly updated prices from top retailers 2 retailers, the cheapest price for the Goodyear Eagle RS-A 225/60R16 97V High Performance All-Season Tire is currently $186.83 at Tire Rack.$186.83
Looking for a tire that delivers confident handling and year-round versatility? As an American tire technician, I can tell you the Goodyear Eagle RS-A 225/60R16 97V is a solid choice for drivers who demand more from their ride. This high-performance all-season tire is engineered to provide a balanced blend of responsive steering and dependable grip, making it an excellent upgrade for a range of sedans and coupes. Its V-speed rating confirms its capability to maintain performance at higher speeds, offering stability and control when you need it most.
The Eagle RS-A isn’t just about speed; its all-season design ensures reliable traction across various weather conditions, from dry summer roads to wet and light snowy environments. While not a dedicated winter tire, it offers enhanced peace of mind compared to a summer-only option, providing consistent performance throughout the year. You’ll appreciate the precise road feel and the predictable handling characteristics that make every drive more enjoyable, embodying Goodyear’s commitment to quality and performance.
Key Features:
- Asymmetric Tread Design: Optimized for confident wet and dry traction, enhancing cornering stability.
- Aggressive Shoulder Blocks: Contribute to responsive handling and increased grip during maneuvering.
- All-Season Compound: Delivers reliable performance in diverse weather, including light snow.
- High-Performance Capability: Engineered for drivers seeking a dynamic driving experience.
Technical Specifications:
- Tire Model: Goodyear Eagle RS-A
- Size: 225/60R16
- Load Index: 97 (1609 lbs per tire)
- Speed Rating: V (up to 149 mph / 240 km/h)
- Tire Type: High Performance All-Season
- Part Number: 732354500
Product information is compiled and reviewed by our editorial team using manufacturer specifications and retailer data.


