The ability to monitor the value of skins in your collection is crucial in the Counter-Strike skins trading world, especially if you are an active trader or collector in the CS2 skins trading platform. The problem with collecting is that over the years one may forget how much they have spent on the collection. However, Steam does not offer any in-built features to help players evaluate the worth of their inventories, and so players have to look for other ways.
Well, don’t worry, because we’re here to help you out! Here are two easy methods to ensure that you get the correct Counter-Strike inventory value.
1. Counter Strike Inventory Value Checker
The easiest and quickest method of determining the CS2 inventory value is by using an inventory value checker. Such tools as Tradeit’s Inventory Value Checker make this process very simple. Simply enter your Steam profile URL – no login is necessary – and you will receive a comprehensive evaluation of the value of your inventory.
Here’s what makes this method great:
- Privacy-Friendly: It is not necessary to log in, so the account remains safe.
- Detailed Insights: Such tools demonstrate how the value of your items changes across the various platforms or markets and assist in decision making on trading or selling.
- Quick & Simple: In as much as it only takes a few seconds to get a full report.
Note: These tools require your Steam inventory to be public so that they can crawl through and analyze your items. If your inventory is private, they will not be able to pull the required data.
2. How to Manually Calculate Your Inventory Value
However, if you want to be more involved in the process, or if you are a fan of spreadsheets, you can calculate the value of your inventory on your own. This entails comparing the market price of each product in the stock and summing them up to arrive at the total value.
Although this method is effective, it is also very time consuming and not very efficient especially if you have a large stock. Manual calculation is usually possible only for very small collections, since automated tools such as Tradeit’s are so easy to use and accurate.
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