EA Staff (Retired)Looking forward to playing this update! I was really against the idea of a ttk update because I figured I already died fast enough in this game, and i figured people would probably complain that they die more post update (although this is still likely going to be the case 😅). I’m happy to admit, though, that I think I was wrong about it being a bad idea. I went back to GW1 for a bit and found that the frustration of potentially dying more is negligible, and that getting more vanquishes is just more fun. and i guess in the end that’s what matters haha! Thanks for always keeping the game updated and making it even better. I’ve had a blast so far and I can’t wait to see what the future holds 🙂
First couple of matches of TT after the TTK decrease and initial impressions are... Great!
Game is so much more action packed. Rose is a killing machine (early prediction she may need to be nerfed in future... Never thought I'd say that!!).
Still need to work my way through more characters to try them out but so far so good and kudos to the Devs for braving such a major change to the gameplay. Once more this game puts a smile on my face 😀
@Koochi-Q wrote:
Nobody talking about the OP all-star here? Wow I’m amazed. The dude isn’t defensive anymore but an overpowered rambo on brainz!
Got killed so fast and so many times and ppl know he’s OP now so half the teams are him... tried playing with him with while I never touched him in the time I’ve been playing and rekt multiple ppl on my own with him...
I haven't posted on this yet as I want more play time before I can judge but from what I've seen, you're correct.
My initial impressions is that All-Star, Scientist, Electric Slide, and Space Station are too good. Rose may be as well, but Sunflower feels too weak (maybe because Scientist is too good). There may be others that need to go up or down but this is what I've seen since the patch. Damage dropoff for certain classes may need to be looked at too.
And please note, I'm not saying my list is absolute or perfect, my data sample is too small, but this is what I've seen so far.
