This spreadsheet collects data from invite scrims (and eventually matches) in order to give anyone who is curious the information about the average capture times, with a (n assumed) normal distribution to give some sense on what times are good / bad.
As of right now, only upward is filled with “significant” data, as that is the first week of play, and the data will change overall even by next week as there will be much more data to input.
You can search by map by clicking on the tabs at the bottom of the page.
How to read this spreadsheet:
The offense team column is the team that set the time
The K column after the offense team is the kills that team got on their attack
The K:K column gives a ratio between the kills from the attacking team to the defending team. I want to see if there is a straightforward correlation between kill ratios and cap times.
The K column before the defense team is the kills the defending team got
The defense team is… the defending team.
Time is the time the offense team set. (Taken into account for set up time)
Avg time, Stddev, Slowest, Fastest should be as self explanatory as the other columns
The Map Rundown gives the setup time, as well as the fastest possible cap times for each point at x3. This should be used in order to help teams realize if they have enough time to push or not and whatever.
Assuming normal distribution column(s) give the average time, as well as the 1st-3rd standard deviations on both sides of the average to give a sense of what times are good or bad.