Pistol
Knife
Machinegun
Glove

The information on the site is not a financial recommendation. It is only an analytical tool.
The price forecast of the Sticker | Skadoodle | London 2018 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 sticker features the signature of professional player Tyler Latham, better known as Skadoodle, who played for Cloud9 during the London 2018 CS2 tournament. With this purchase, you are not only showcasing your support for Skadoodle but also financially supporting the player and the organization.
The Sticker | Skadoodle | London 2018 was released on August 29th, 2018, into the CS2 community, first being part of the London 2018 Legends Autograph Capsule. It was released with the "FACEIT 2018 – Tournament Items" update, placing it within the London 2018 tournament.
Sticker Skadoodle | London 2018 - Skadoodle is part of the Legend autograph at London 2018. The Sticker | Skadoodle | London 2018 is a rather rare sticker celebrating the legendary performance of Skadoodle during the event London 2018 Major. There is only one way to receive the Sticker | Skadoodle | London 2018: opening an opened container-case "London 2018 Legends Autograph Capsule".
The CS2 Sticker | Skadoodle | London 2018 is in the middle regarding popularity. It is rated as a 45% object. Such a rating tells us about its relation between sales and the price on Steam Market.
Sticker | Skadoodle | London 2018 is one of 6,710 Sticker items in the CS2, that makes this appearance not rare for Stickers, one of the CS2 Skin. Skin's type is High Grade, meaning this Skin drop chance is 79.92%.
The Sticker | Skadoodle | London 2018 is an extremely cheap option, going for only $1.05, meant for CS2 lovers. Moreover, this sticker can be found in most markets without much hassle; thus, any player can easily find and purchase it.
The Sticker | Skadoodle | London 2018 has gained immense popularity within the CS2 community, with an overwhelming majority of voters giving it a near-perfect rating on addskins.gg. Being associated with the renowned professional player skadoodle, this sticker becomes highly desirable among fans and collectors.
According to the forecast, the price of the Sticker | Skadoodle | London 2018 is expected fall down to $ 2.07 (-27.37%) in a month. After that, in the next quarter it will drop to $ 2.21 (-22.46%). Further ahead, it is pojected to fall to $ 2.14 (-24.91%) in half a year. Then, in a calendar year, it will likely rise to $ 5.3 (85.96%). Confidence is low — it is advised to avoid.