On May 13 2020 22:52 TentativePanda wrote: Gonna be 1 Zerg in Ro8 and are about to get nerfed haha. Well played T whiners
Problem in korea is: the top4 zerg in international events that also often enough populate the top8 of a tournament are: Dark rogue, reynor and serral, while with terran and toss it's mostly the koreans ones (Zest, trap, Dear, Stats vs Inno, Maru, Ty etc) so in korea you only really have Dark and rogue for the consistent top8 (with soO kinda falling after his one iem) and Rogue lost to scarlett in a zvz to go out of the gsl.
On May 13 2020 22:52 TentativePanda wrote: Gonna be 1 Zerg in Ro8 and are about to get nerfed haha. Well played T whiners
Problem in korea is: the top4 zerg in international events that also often enough populate the top8 of a tournament are: Dark rogue, reynor and serral, while with terran and toss it's mostly the koreans ones (Zest, trap, Dear, Stats vs Inno, Maru, Ty etc) so in korea you only really have Dark and rogue for the consistent top8 (with soO kinda falling after his one iem) and Rogue lost to scarlett in a zvz to go out of the gsl.
I generally agree with you. I just think it’s funny since plenty of P and T point out the Zerg dominated EU scene (which isn’t even true anymore) as factual evidence that Zerg is imba
On May 13 2020 22:52 TentativePanda wrote: Gonna be 1 Zerg in Ro8 and are about to get nerfed haha. Well played T whiners
Zerg gets nerfs because players say PvZ is broken in favor of zerg.
"Those pesky T whiners"
"Those pesky T whiners " *
Also, players can be wrong. Zerg has 38% winrate against Protoss this GSL. Statistics can be misleading. It’s a tough decision but imo balance is in a pretty healthy state
Can't really draw any balance conclusions from this RO16. The 6 players who have advanced so far are simply the best 2 from each group. Soo, Stats and Solar have all been slumping, and Scarlett, Taeja and Bunny just are not as good as the players they lost to. If you want to make inferences about balance, you need to watch the games themselves, not use summary statistics of a tiny sample.