Return of Reckoning

Culexus wrote: Fri Sep 04, 2026 10:08 am


Sorry my friend, but it only takes a single bad AoE Choppa to cause a loss.

The first engagement in any scenario is the most important as it sets the momentum for the rest of the scenario. Most scenarios are won or lost in that first engagement. The number of Choppas that will use the GtdC speed boost in the first engagement to run in and tag as many enemies as possible with a 1ft pull is far higher than the ones that don't. I've been watching it happen for years and purposefully look out for it now; if they do, I won't guard them.

If a Choppa joins a scenario in their AoE blob spec then they're better off dead as they'll do less harm. 2h is for scenarios, but that requires learning more than 3-button AoE blob play, which most (not saying you) are not willing to do.

Not saying there are not other factors such as 2h tanks and lack of assist to contend with as well, but Order suffers from those same issues too. AoE Choppas are a purely Desto problem that has no solution beyond hoping they die quickly before they cause too much disruption.

live4treasure wrote: Fri Sep 04, 2026 3:56 am Destro is also the more populated realm. Which means there's a numerically larger group of newer players, casual player and so on in it. Which also means you are more likely to be in a scenario with them, as a destro player.

Urmig wrote: Fri Sep 04, 2026 8:41 am Which tool is this?
I have been trying to get similar information from the killboard GraphQL but I have not had the time to get further into it.
I would say that it does align with my observation too.
Some numbers that you may want to look into as well are :

• - backdate the numbers to the date the patch was released and then compare them to the week before, if possible, to estimate the impact of the patch
  - surrender rates are not accurate because matches that would qualify for a surrender actually end before the losing team is allowed to surrender.
  - the number of matches where the winning team has 100/200/300/400 points more than the losing team
  - which scenarios are more likely to have bigger score gaps, which may indicate that the scoring system for that match is not good (snowballing?)
  - the average RR difference between teams (this is something that I have tried to look into a lot as I think it is a strong driver of what you are observing)
  - the average kills per scenario and compare them to difference in average RR as the previous metric.

A more complex metric would be to generate some ELO value based on the gear of the participants, generate an average and compare it between the two teams, but it would probably require a lot of API calls and you may get throttled or flagged as malicious.

CountTalabecland wrote: Fri Sep 04, 2026 1:51 pm Good work my Order bros.

Keep laying it to ‘em.

No pity, no mercy.