Assassin's Creed Valhalla is the first installment in the long-running series to receive continued support in its second year after release, with new content and features coming in the form of Patch 1.3.0, available now on all platforms, bringing with it both new content and various balancing adjustments.
At the center of Update 1.3.0 is, of course, Part II of the "Siege of Paris" expansion. In addition, Ubisoft has taken player feedback to heart and made improvements in various areas.
Scaling Levels and an Updated Skill Tree
Other new features of Assassin's Creed Valhalla's Update 1.3.0 include the so-called Scaling Levels, which allows you to adjust the level of the opponents to your preferences. The settings range from "Off" (opponents appear as described in the area information), "Constant" (opponents are at the same level), to "Nightmare" (opponents are 60+ levels above your own).
In addition, the creative minds behind the action RPG have taken on the task of revamping the skill tree to make it easier to see the new skills that have been added in the past. In addition, there is a function that automatically acquires all the nodes necessary to acquire a selected skill.
New Skills, Bugfixes and More
Speaking of new skills: Patch 1.3.0 introduced several new skills to the game, including the "Quick Fingers" skill, which allows you to pick up loot nearby with a quick hand movement, the "Heidrun Charge", which allows you to keep opponents at a distance with a powerful knee strike, and the "Wolf Warrior" skill. , which increases Eivor's attack power when his health is critical.
Finally, the developers took on various bugs that Assassin's Creed Valhalla had been struggling with recently. For example, the bug that caused occasional quest loading screens to become infinite and thus crash the game has been fixed. Also gone are the annoying bugs that caused the "Hunter's House" world event to not start as intended, or important non-playable characters (NPCs) to disappear in "A Wizard in Distress". The Update 1.3.0 is rounded off by smaller optimizations in the area
