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 | MSL | 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 real signature of Mathias Sommer Lauridsen, a great professional player who participated in the London 2018 CS2 tournament for North. With this sticker, you get not only a very nice collector's item but also a way to support the player and organizations since the profit derived is shared with them at 50%.
The Sticker | MSL | London 2018 first appeared in CS2 on August 29th, 2018, as part of the London 2018 Returning Challengers Autograph Capsule. The capsule was released side by side with the "FACEIT 2018 – Tournament Items" update and presented a wave of freshness in the CS2 community.
The Sticker | MSL | London 2018 can be got from opening a container of London 2018 Returning Challengers Autograph Capsule. This gives the fans the opportunity to collect it for their collection. This sticker is not included in any collections, unlike most of the rest.
Even despite the fact that Sticker | MSL | London 2018 is the least popular in CS2, its popularity, judged by its daily sales volume and price, is still colossally present and equates to 35%. Not being the very wanted sticker, this one still keeps on a relatively high demand from collectors and fans of the player.
The Sticker | MSL | London 2018 is one of the other 6,710 Sticker items in existence. For the most part, this is a relatively common skin in the CS2 community, with a drop chance of 79.92%. Being High Grade, it further denotes how common it is.
For only $8.27, the Sticker | MSL | London 2018 is an extremely cheap option for CS2 enthusiasts. Also, with its popularity on so many different markets, there are numerous places that buyers can get this sticker.
Sticker | MSL | London 2018 received extremely positive community feedback, receiving more than 4K votes on addskins.gg and with an average rating of 4.7 out of 5 stars. One may judge its popularity by the fact that this skin belongs to the professional CS2 player snatchie.
According to the forecast, the price of the Sticker | MSL | London 2018 is expected grow to $ 4.66 (3.56%) in a month. After that, in the next quarter it will drop to $ 3.29 (-26.89%). Further ahead, it is pojected to fall to $ 2.3 (-48.89%) in half a year. Then, in a calendar year, it will likely rise to $ 6.12 (36.0%). Confidence is low — it is advised to avoid.