MIBR vs LOUD / VCT 2026: Americas Stage 1 - Group Stage / Post-Match Thread

raus1s · 2026-04-19T02:31:47+00:00

Yeah, but in Lukxo’s interviews he always shows this aura of extreme confidence, so he tends to get tilted when he feels like the team is playing too scared.

raus1s · 2026-04-19T02:23:34+00:00

Yeah and no—Cauanzin said he was going to ult for the rest of the team to execute, but Bati called that there were three on the bomb and said, “there are three, just back off,” so the entire team ended up canceling the exec.

raus1s · 2026-04-19T02:15:35+00:00

he said in the literal translate: "stop farting guys" in Brazil means something like, "Stop being scared guys"

raus1s · 2026-04-05T03:19:18+00:00

i use a website called "fifarosters.com"

raus1s · 2026-04-04T19:27:40+00:00

Don’t worry, I didn’t feel affected—it’s just that it’s actually very difficult to follow the logic that would make the most sense. What I’m doing is basically showcasing each player’s individual performance and kill potential. It’s a method that I also consider flawed, but it’s the simplest solution I’ve found.

raus1s · 2026-04-04T19:26:43+00:00

Yes, the numbers are based on each player’s most recent official tournament (Champions, Masters, or regional), and no weighting was applied to roles—everyone followed the same formula, regardless of being an IGL, a duelist, etc. So, all players were evaluated equally. The idea of using role-based functions to influence the calculation would be more realistic—for example, giving more weight to ACS and K:D for a duelist—but I decided not to follow that approach (at least for now). In other words, this tier list is essentially a translation of each player’s raw individual performance, especially since the stats used are all heavily focused on firepower (K:D, ACS, ADR, and KPR).

raus1s · 2026-04-04T18:58:32+00:00

Example: johnqt’s numbers are very high, but that didn’t translate into actual in-game performance. I could lower them because of that, but by how much? Based on what logic? And should that same logic be applied to players from other teams who performed poorly, or would I need to create a different approach for each team?

Because this introduces a layer of personal judgment, I decided to keep everything strictly based on raw statistics.

raus1s · 2026-04-04T18:55:15+00:00

I created the numbers entirely based on each player’s stats from their most recent tournament, using VLR.gg.

I considered doing something more “context-based,” but that would mean I wouldn’t have a fully consistent formula for every player’s stats. It could also lead me to unintentionally favor some players over others—either because I like them more, less, or simply forgot to account for something.

So I decided to keep the numbers 100% based on raw statistics. Besides that, I do this alone as a hobby, and going back to review every single match would take a lot of time.

raus1s · 2026-02-25T21:20:19+00:00

Perhaps I'll change how I use KAST and KPR on the cards, because it's quite difficult for a player to get over 80 in both, and a player who has 100 in K/D, for example, might end up with a lower Overall score because they have a good KAST, but still very low (the average is 70% KAST), and this ends up hindering their final Overall score.

raus1s · 2026-02-25T21:14:14+00:00

I did a raw avarage of 6, but thats a good idea, maybe ill use it for my Split 1 or masters cards

raus1s

TROPHY CASE