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5 minutes ago
The information on the site is not a financial recommendation. It is only an analytical tool.
The price forecast of the Sticker | TACO | Rio 2022 are created by our ML engineers in collaboration with the Data Science and Business Analytics teams using machine learning models trained on historical price, sales, and market data for each skin. The models incorporate features such as rarity, popularity, category, skin type, weapon, exterior, price history and more. Multiple time horizons are forecasted using a combination of pretrained and custom models, with parameters including price volatility, liquidity, and recent transaction volumes. All projections are based on historical trends and statistical patterns, and actual results may differ due to market uncertainties and unforeseen events.
*avg | Sitewide average across all skins
**Earned, ***Invested | Emulates buy and sell recommendations from addskins.gg
****Success/fail accuracy | Success — buy then sell at a profit, failure — buy then sell at a loss
Each skin’s forecast is updated approximately once a week and saved. For this skin, 16 forecasts have been generated in total. Each forecast stores key data such as predicted prices, probability of success, and recommended actions (buy, sell, or hold). Later, when real price data becomes available over time, the forecast is evaluated: the actual price movement is compared with the prediction, and the recommended actions are simulated using the real price. As a result, you can see how many buy and sell actions would have occurred, how many trades would have resulted in profit or loss, the total amount invested, and the final profit. Based on these results, the forecast accuracy for this specific skin is calculated and compared to the average accuracy of all forecasts across the site.
This is one great sticker featuring the autograph of Tacio Filho player, part of 00 Nation, who appeared in one of the biggest events, IEM Rio 2022 CS2 Major. Being epic, its design covers Tacio's performance during that tournament and a symbol of remarkable presence.
The Sticker | TACO | Rio 2022 was added to CS2 on October 21st, 2022, and became an exciting part of the Rio 2022 Contenders Autograph Capsule. It also dropped right on the release of the highly hyped "Rio 2022 Stickers" update and made a significant milestone in CS2 history.
The Sticker | TACO | Rio 2022 is a limited collectible and can only be obtained by purchasing a Rio 2022 Contenders Autograph Capsule, which contains a random assortment of autographed stickers from professional CS2 players participating in the Rio 2022 tournament. This sticker doesn't belong to any collections, so it will be very special for CS2 fans.
The Sticker | TACO | Rio 2022 has a popularity of 65% and is one of the more popular skins within CS2. This assessment of popularity is based on high volume sales each day and an increasing price of the skin.
The Sticker | TACO | Rio 2022 is an relatively common in-game item. Total amount of other Sticker items: 6,710. Externally, its estimated drop chance is at about 79.92%, which is what places this particular item into the High Grade rarity classification, meaning that the item is pretty common and gets dropped often.
The Sticker | TACO | Rio 2022 is a very cheap alternative, as it costs only $0.01, and it's widely available in many markets for easy access to players who want to have this Rio 2022 flair on their in-game items.
The Sticker | TACO | Rio 2022 for CS2 is in high demand, as reflected by its average rating: 4.5 out of 5 stars and a total of 954 votes on addskins.gg. Further proving its popularity is that it belongs to two of the most popular professional players: coldzera and dumau.
According to the forecast, the price of the Sticker | TACO | Rio 2022 is expected fall down to $ 0.118 (-9.31%) in a month. After that, in the next quarter it will drop to $ 0.121 (-7.0%). Further ahead, it is pojected to fall to $ 0.129 (-1.0%) in half a year. Then, in a calendar year, it will likely rise to $ 0.214 (65.0%). Confidence is low — it is advised to avoid.
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