AWP | Silk Tiger (Well-Worn)

The current lowest price for AWP | Silk Tiger (Well-Worn) is $206.11 on Ecosteam. Skinstrack tracks prices in real-time across 28+ marketplaces so you always see the most up-to-date listings.

The cheapest listing for AWP | Silk Tiger (Well-Worn) is currently on Ecosteam at $206.11. Steam lists it for $1,152.71. Buff163 has it starting at $246.72. Always compare across all marketplaces using Skinstrack to find the best deal, as prices can shift quickly.

AWP | Silk Tiger (Well-Worn) is currently tracked across 15 marketplaces on Skinstrack, with a total of approximately 126 active offers. Supported platforms include Steam Community Market, Buff163, CSFloat, Skinport, DMarket, and many more.

AWP | Silk Tiger (Well-Worn) has a liquidity score of 45% on Skinstrack. Low demand. Expect longer wait times. Liquidity measures how quickly a skin typically sells - higher scores mean faster sales and lower risk when trading.

AWP | Silk Tiger is not available in StatTrak or Souvenir versions. You can browse all available variants using the variant selector on this page.

AWP | Silk Tiger is available in the following wear conditions: Factory New, Minimal Wear, Field-Tested, Well-Worn, Battle-Scarred. The wear condition affects the skin's appearance - Factory New skins have minimal scratches, while Battle-Scarred skins show heavy wear. Lower wear generally means a higher price.

AWP | Silk Tiger is part of the The Havoc Collection. CS2 collections group themed skins released together and can influence their rarity, collector demand, and long-term value.

AWP | Silk Tiger (Well-Worn) is classified as Classified rarity in CS2. Rarity tiers from common to rare are: Consumer Grade, Industrial Grade, Mil-Spec, Restricted, Classified, Covert, and Contraband. This is a high rarity tier, contributing to its value and collector appeal.

Over the past 24 hours, AWP | Silk Tiger (Well-Worn) has changed by +0.29%. Over 7 days the change is -2.65%, and over 30 days -0.84%. View the full 90-day price history chart on this page to track long-term trends and identify the best times to buy or sell.

Based on recent price data, AWP | Silk Tiger is showing bearish momentum in the short term (1-14 days) and bearish trends over the longer term (30-90 days). Prices have softened recently. CS2 skin investments carry risk - always review the liquidity score and price history before making investment decisions.

AWP | Silk Tiger (Well-Worn) is listed at $1,152.71 on Steam and $206.11 on Ecosteam. Third-party marketplaces often offer lower prices than Steam, though they require account verification and have different payment options and fee structures.

Yes, Skinstrack supports price alerts for AWP | Silk Tiger (Well-Worn). Use the price alert button on this page to set your target price. You will be notified when the price drops to your specified level, helping you buy at the right moment without constantly monitoring the market.

To maximize your return when selling AWP | Silk Tiger (Well-Worn), compare active marketplace listings using Skinstrack. Currently Ecosteam shows the lowest ask at $206.11. List on platforms with high buyer traffic for faster sales, and consider timing your sale during bullish price periods. Always account for marketplace fees when calculating your net return.

The float value determines the exact wear appearance of AWP | Silk Tiger (Well-Worn). This skin has a float range of 0.00 to 0.60, meaning its condition can only fall within those values. Float ranges map to wear tiers: Factory New (0.00-0.07), Minimal Wear (0.07-0.15), Field-Tested (0.15-0.38), Well-Worn (0.38-0.45), and Battle-Scarred (0.45-1.00). Lower float values within each tier produce cleaner-looking skins and typically command higher prices.

Skinstrack continuously aggregates AWP | Silk Tiger (Well-Worn) price data from 15 marketplaces. The page revalidates every 60 seconds to show you the freshest listings available. Price history is tracked over 90 days, giving you a comprehensive view of how the market has moved and helping you spot long-term trends.