Leveraging Player Data to Improve Destiny 2 Raid Matchmaking

ameliahebrew1518

New member
Sep 16, 2025
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United States
hashnode.com
Hey Guardians,


I’ve been exploring ways Bungie could enhance the matchmaking system for Raids in Destiny 2. Right now, it often feels hit or miss—sometimes you get an amazing squad, and other times the team composition makes progression really tough. One potential solution could be the use of big data analytics on player performance and behavior.


Imagine if matchmaking could consider not just light level, but also completion history, damage output, support play, and even synergy between subclasses. By analyzing patterns from millions of matches, the system could automatically form groups with balanced roles, reducing frustration and improving the overall raid experience.


Of course, this raises questions about server resources, transparency, and whether it might feel too “engineered.” Still, I think it could strike a better balance between casual and hardcore players while keeping raids more accessible.


What do you all think about a system like this being implemented?


Cheers,
[Amelia Hebrew]
 

Agra1

New member
Sep 26, 2025
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The biggest hurdle for this system seems to be accurately measuring support and utility. How would the algorithm differentiate between a player who is great at clearing ads (low boss damage, high kill count) and a player who effectively runs Divinity or a Well of Radiance build (low overall damage, high utility uptime)? Should those roles be weighted equally, or should the system prioritize mechanic roles?
Regards, orca slicer