Escape from Tarkov update makes airdrops items found in raid again and snow quieter
Patch 0.14.0.1 is now live
When you purchase through links on our site, we may earn an affiliate commission.Here’s how it works.
Battlestate Games has released another technical update forEscape from Tarkov.
Patch 0.14.0.1 was rolled out today (January 24) and servers for the game were down for about three hours for installation, but players can now jump back and experience some new improvements and worry less about insistent bugs.
As part of the first-person shooter’s temporary Christmas event,Escape from Tarkovreceived a new snow feature which players were quite excited about given the reaction on social media. When the event was over, however, Battlestate decided to keep the seasonal flare in the game permanently as a weather event, a decision that the studio shared on the game’ssubredditearlier this month.
One of the highlights of the latest patch has tweaked the now-permanent feature by reducing the loudness of footsteps in the snow, allowing for a more stealthy approach and less crunch.
Alongside a host of adjustments and bug fixes - such as infinite loading problems - the patch has also finally addressed anissuethat was preventing Airdrop loot from being found in Raid, while spawn points for Scavs on the Ground Zero location have also been increased.
You can read the full patch notes below.
Escape from Tarkovversion 0.14.0.1 patch notes:
Get the best Black Friday deals direct to your inbox, plus news, reviews, and more.
Sign up to be the first to know about unmissable Black Friday deals on top tech, plus get all your favorite TechRadar content.
List of fixes:
For more, check out our guide forevery hidden achievement in Escape From Tarkov, along with our list of thebest FPS games.
The PS5 Pro’s PSSR upscaling gives multiple games a huge visual upgrade – can it compete with Nvidia’s DLSS 3 successor?
I’m a Nintendo Switch expert, here are the best early Black Friday deals right now
New fanless cooling technology enhances energy efficiency for AI workloads by achieving a 90% reduction in cooling power consumption
